xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

3e1dd5bd68d394d39a441e19a0509812a9f6b841

152

py

Python

knxpy/dpts/dpt1.py

BrechtBa/knxpy

9e486f4a4623f586091e72cc6472441f3efbdd72

[ "MIT" ]

null

knxpy/dpts/dpt1.py

BrechtBa/knxpy

9e486f4a4623f586091e72cc6472441f3efbdd72

[ "MIT" ]

null

knxpy/dpts/dpt1.py

BrechtBa/knxpy

9e486f4a4623f586091e72cc6472441f3efbdd72

[ "MIT" ]

null

#!/usr/bin/env python3 """ Boolean data 1 bit 0,1 """ def encode(value): return [int(value) & 0x01] def decode(data): return (data & 0x01)

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3e20d2ec7ffb4e37a534ab2ec90631b3c444d2a4

218

py

Python

rowboat/models/migrations/0006_new_guild_config.py

StreamersConnected/testrb

292abe1d9b463e416f157023f271ca9547638b00

[ "MIT" ]

1

2018-05-12T12:34:51.000Z

rowboat/models/migrations/0006_new_guild_config.py

StreamersConnected/testrb

292abe1d9b463e416f157023f271ca9547638b00

[ "MIT" ]

null

rowboat/models/migrations/0006_new_guild_config.py

StreamersConnected/testrb

292abe1d9b463e416f157023f271ca9547638b00

[ "MIT" ]

null

from rowboat.models.migrations import Migrate from rowboat.models.guild import Guild @Migrate.only_if(Migrate.missing, Guild, 'config_raw') def add_guild_columns(m): m.add_columns(Guild, Guild.config_raw)

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4

3e28c4d69d2197030e7707044c7e090c5b99ac3f

170

py

Python

server/mongo_client.py

jsonkung/agora

18c951b63556cdccf2c552e7413de56c18254c00

[ "MIT" ]

null

server/mongo_client.py

jsonkung/agora

18c951b63556cdccf2c552e7413de56c18254c00

[ "MIT" ]

null

server/mongo_client.py

jsonkung/agora

18c951b63556cdccf2c552e7413de56c18254c00

[ "MIT" ]

null

import pymongo def get_mongo_client(host='localhost', port=27017): uri = "mongodb://{host}:{port}".format(host=host, port=port) return pymongo.MongoClient(uri)

24.285714

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4

3e34635e5576cdec28118969af2af12619f4bd14

153

py

Python

HealthNet/calendarium/settings.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

79

2015-01-21T10:23:24.000Z

2016-11-03T13:25:03.000Z

HealthNet/calendarium/settings.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

28

2015-01-06T17:16:51.000Z

2016-09-08T09:13:19.000Z

HealthNet/calendarium/settings.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

24

2015-01-14T17:02:54.000Z

2016-08-10T02:47:03.000Z

"""Default settings for the calendarium app.""" from django.conf import settings SHIFT_WEEKSTART = getattr(settings, 'CALENDARIUM_SHIFT_WEEKSTART', 0)

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4

3e42ac90b1dd4da06e0daecb7d3347611703ef22

55

py

Python

tsis1/bool1.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

tsis1/bool1.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

tsis1/bool1.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

x = "Hello" y = 15 print(bool(x)) print(bool(y))

9.166667

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null

0

1

0

4

3e571472fe3f555726d8dffb1c9bc058f191e207

44

py

Python

tests/couldBeGenerated_pb2.py

jddixon/pysloc

ab642816ab3bfe92755ebbba55d09a802d5be485

[ "MIT" ]

1

2019-06-13T18:28:51.000Z

tests/couldBeGenerated_pb2.py

jddixon/pysloc

ab642816ab3bfe92755ebbba55d09a802d5be485

[ "MIT" ]

null

tests/couldBeGenerated_pb2.py

jddixon/pysloc

ab642816ab3bfe92755ebbba55d09a802d5be485

[ "MIT" ]

null

This should be counted as a 0 - line file .

5.5

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4

3e6e9ff6a73cccdf8dc1241c0b382196d8640149

52

py

Python

tests/pytest_plugin/data/test_using_migrator_fixture.py

swiatekm/django-test-migrations

628f650d2c076ce8ad44222d1a6c674ded90a48a

[ "MIT" ]

4

2019-07-26T12:42:42.000Z

2020-01-27T07:45:09.000Z

tests/pytest_plugin/data/test_using_migrator_fixture.py

swiatekm/django-test-migrations

628f650d2c076ce8ad44222d1a6c674ded90a48a

[ "MIT" ]

37

2019-10-18T18:10:14.000Z

2020-01-31T07:46:23.000Z

tests/pytest_plugin/data/test_using_migrator_fixture.py

swiatekm/django-test-migrations

628f650d2c076ce8ad44222d1a6c674ded90a48a

[ "MIT" ]

1

2019-08-03T15:54:50.000Z

def test_using_migrator_fixture(migrator): pass

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1

0

4

e41ca9c0b4c42a66448eca7c9d933029b29f368d

377

py

Python

chap8/8-12.py

wikilike7/python-crash-course

85cd7a2ab6e43a554c282b6e0c1c44c415cca3a3

[ "MIT" ]

null

chap8/8-12.py

wikilike7/python-crash-course

85cd7a2ab6e43a554c282b6e0c1c44c415cca3a3

[ "MIT" ]

null

chap8/8-12.py

wikilike7/python-crash-course

85cd7a2ab6e43a554c282b6e0c1c44c415cca3a3

[ "MIT" ]

1

2019-03-05T09:31:27.000Z

def rice_describ(*rice): print('\n下面介绍各种大米的分类和基础介绍：') print(rice) rice_describ('糙米：稻谷去除稻壳后之稻米，保留了八成的产物比例。营养价值较胚芽米和白米较高，但浸水和煮食时间也较长') rice_describ('胚芽米：糙米加工后去除糠层保留胚及胚乳，保留了七成半的产物比例，是糙米和白米的中间产物', '白米：(即我们平时食用的白米或大米) 糙米经继续加工，碾去皮层和胚 (即细糠)，基本上只剩下胚乳，保留了七成的产物比例。市场上最主要的类别', '预熟米 (改造米)：将食米经浸润、蒸煮、干燥等处理') rice_describ('营养强化米：食米添加一种或多种营养素', '速食米：食米经加工处理，可以开水浸泡或经短时间煮沸，即可食用')

41.888889

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4

e42660793699a33c5a358a0c5bf836c4fd142992

58

py

Python

yikes_moles/__main__.py

hodgestar/yikes-moles

195a3db7d2dbea3e9f0cec7620f6c4b38a2a5524

[ "MIT" ]

null

yikes_moles/__main__.py

hodgestar/yikes-moles

195a3db7d2dbea3e9f0cec7620f6c4b38a2a5524

[ "MIT" ]

null

yikes_moles/__main__.py

hodgestar/yikes-moles

195a3db7d2dbea3e9f0cec7620f6c4b38a2a5524

[ "MIT" ]

null

""" Run Yikes! Moles! """ from .main import main main()

9.666667

25

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0.75

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true

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null

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4

e454d9acd17f9e44a441065289136ddc69c50041

189

py

Python

Python/Introduction/python_if_else.py

isbendiyarovanezrin/HackerRank-Solutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

2

2021-11-21T21:40:25.000Z

2021-11-22T06:30:58.000Z

Python/Introduction/python_if_else.py

isbendiyarovanezrin/HackerRankSolutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

null

Python/Introduction/python_if_else.py

isbendiyarovanezrin/HackerRankSolutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

null

# Language: Python 3 n = int(input()) if (n % 2 != 0): print("Weird") elif (2 <= n <= 5): print("Not Weird") elif (6 <= n <= 20): print("Weird") else: print("Not Weird")

14.538462

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4

e45b51c0cd4d12db9eb6625c4f1239c0a4e9e0f0

22

py

Python

skewt/__init__.py

aktaylor08/SkewT

bc6fde8ed9ff2da9000fb5865cc9aaecf1a662e2

[ "MIT" ]

1

2017-05-24T09:14:28.000Z

skewt/__init__.py

peterwilletts24/SkewT

bc6fde8ed9ff2da9000fb5865cc9aaecf1a662e2

[ "MIT" ]

null

skewt/__init__.py

peterwilletts24/SkewT

bc6fde8ed9ff2da9000fb5865cc9aaecf1a662e2

[ "MIT" ]

1

2019-08-28T16:56:22.000Z

__version__="0.1.3r1"

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4

e45bccb3746c666fdc5b880764bd0d0636551c9c

81

py

Python

elk/apps.py

mingregister/zlk

6386eb019e14cb5380c1b9518bc43ef48bd78369

[ "Apache-2.0" ]

null

elk/apps.py

mingregister/zlk

6386eb019e14cb5380c1b9518bc43ef48bd78369

[ "Apache-2.0" ]

null

elk/apps.py

mingregister/zlk

6386eb019e14cb5380c1b9518bc43ef48bd78369

[ "Apache-2.0" ]

null

from django.apps import AppConfig class ElkConfig(AppConfig): name = 'elk'

13.5

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4

9028bd48a3d3f9da19435ac6eddece7270848cc0

207

py

Python

mysite/ctms/admin.py

raccoongang/socraticqs2

06201005136ee139846f857dbb2f518736e441de

[ "Apache-2.0" ]

3

2015-11-20T07:33:28.000Z

2017-01-15T23:33:50.000Z

mysite/ctms/admin.py

raccoongang/socraticqs2

06201005136ee139846f857dbb2f518736e441de

[ "Apache-2.0" ]

28

2015-07-14T11:33:24.000Z

2017-11-17T15:21:22.000Z

mysite/ctms/admin.py

raccoongang/socraticqs2

06201005136ee139846f857dbb2f518736e441de

[ "Apache-2.0" ]

4

2015-04-29T09:04:59.000Z

2017-07-19T14:11:16.000Z

from django.contrib import admin from ctms.models import Invite @admin.register(*[Invite]) class AdminModel(admin.ModelAdmin): list_display = ('code', 'email', 'course', 'get_status_display', 'type')

23

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5f788ed13aba6c73803f9fb6c671443522d89fb0

357

py

Python

factory/ey.py

amitkc00/design_patterns

86262200d8ab106e9e8b32abc0d87e7a8e1cce2a

[ "MIT" ]

null

factory/ey.py

amitkc00/design_patterns

86262200d8ab106e9e8b32abc0d87e7a8e1cce2a

[ "MIT" ]

null

factory/ey.py

amitkc00/design_patterns

86262200d8ab106e9e8b32abc0d87e7a8e1cce2a

[ "MIT" ]

null

from iConsultant import iconsultant class ey(iconsultant): def __init__(self): pass def do_SAP_Security_audit(self): print('This is EY SAP Security Audit') def do_SAP_HR_audit(self): print('This is EY SAP HR Audit') def do_SAP_PurchaseSale_audit(self): print('This is EY SAP Purchase Sale Audit')

23.8

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15

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5f7a9bb21dbf122d5c97ab4a037b75606ef993aa

165

py

Python

ops/multihead/__init__.py

ancientmooner/CCNet

c914913ad523ec854f78c28f22044af204d4fbe6

[ "MIT" ]

null

ops/multihead/__init__.py

ancientmooner/CCNet

c914913ad523ec854f78c28f22044af204d4fbe6

[ "MIT" ]

null

ops/multihead/__init__.py

ancientmooner/CCNet

c914913ad523ec854f78c28f22044af204d4fbe6

[ "MIT" ]

null

from .multihead_block import MultiheadBlock from .multihead_spatial_block import MultiheadSpatialBlock __all__ = [ 'MultiheadBlock', 'MultiheadSpatialBlock', ]

23.571429

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6

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false

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null

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4

5f95e6ae5caa0336b8e739993847fcbfd9781539

196

py

Python

NCPWD/apps/comments/serializers.py

fossabot/NCPWD

e46776ecf0cb4f263ff4e7883cb2402a3fc58717

[ "Apache-2.0" ]

1

2019-08-22T23:36:07.000Z

NCPWD/apps/comments/serializers.py

C3real-kill3r/H-digest

afce0a6e8b0fa4d2684550fe9f484ab9c6e76560

[ "Apache-2.0" ]

10

2019-12-12T13:59:43.000Z

2021-09-22T18:21:44.000Z

NCPWD/apps/comments/serializers.py

C3real-kill3r/H-digest

afce0a6e8b0fa4d2684550fe9f484ab9c6e76560

[ "Apache-2.0" ]

2

2019-12-12T13:56:33.000Z

2019-12-26T11:47:05.000Z

from rest_framework.serializers import ModelSerializer from .models import Comments class CommentSerializer(ModelSerializer): class Meta: model = Comments fields = "__all__"

21.777778

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8

55

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5f9b786c50786b8d6e9a5bbfb14cb258efc64cd4

98

py

Python

websocket_redis/api/async/__init__.py

Abdeljelil/websocket_redis

d056628333144efc5396881d344e8acfcf9b0edc

[ "BSD-3-Clause" ]

1

2016-07-28T07:07:16.000Z

websocket_redis/api/async/__init__.py

Abdeljelil/websocket_redis

d056628333144efc5396881d344e8acfcf9b0edc

[ "BSD-3-Clause" ]

null

websocket_redis/api/async/__init__.py

Abdeljelil/websocket_redis

d056628333144efc5396881d344e8acfcf9b0edc

[ "BSD-3-Clause" ]

null

from websocket_redis.api.async.listener import APIClientListener __all__ = ["APIClientListener"]

24.5

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7.7

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5fa43ddb266081abdf4e24e2219f8c9d014bde39

262

py

Python

HackersPySim.py

mar232320/HackersPy

1f4f76ef34363408cfbca090d93f304ce27db3f7

[ "MIT" ]

null

HackersPySim.py

mar232320/HackersPy

1f4f76ef34363408cfbca090d93f304ce27db3f7

[ "MIT" ]

null

HackersPySim.py

mar232320/HackersPy

1f4f76ef34363408cfbca090d93f304ce27db3f7

[ "MIT" ]

null

#Import Modules import json try: #Define Programs #Define Nodes #Operations Area #Error Catchment except FileNotFoundError: print ("Error, could not find 1 or more files required, please ensure all files are downloaded and in dir with the Py file")

26.2

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5fb4b58afc191733eefbdedf98269293675fe91c

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py

Python

nova/objects/request_spec.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/objects/request_spec.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/objects/request_spec.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Copyright 2015 Red Hat, Inc.' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' name|'from' name|'oslo_serialization' name|'import' name|'jsonutils' newline|'\n' name|'import' name|'six' newline|'\n' nl|'\n' name|'from' name|'nova' op|'.' name|'db' op|'.' name|'sqlalchemy' name|'import' name|'api' name|'as' name|'db' newline|'\n' name|'from' name|'nova' op|'.' name|'db' op|'.' name|'sqlalchemy' name|'import' name|'api_models' newline|'\n' name|'from' name|'nova' name|'import' name|'exception' newline|'\n' name|'from' name|'nova' name|'import' name|'objects' newline|'\n' name|'from' name|'nova' op|'.' name|'objects' name|'import' name|'base' newline|'\n' name|'from' name|'nova' op|'.' name|'objects' name|'import' name|'fields' newline|'\n' name|'from' name|'nova' op|'.' name|'objects' name|'import' name|'instance' name|'as' name|'obj_instance' newline|'\n' name|'from' name|'nova' op|'.' name|'virt' name|'import' name|'hardware' newline|'\n' nl|'\n' nl|'\n' op|'@' name|'base' op|'.' name|'NovaObjectRegistry' op|'.' name|'register' newline|'\n' DECL|class|RequestSpec name|'class' name|'RequestSpec' op|'(' name|'base' op|'.' name|'NovaObject' op|')' op|':' newline|'\n' comment|'# Version 1.0: Initial version' nl|'\n' comment|'# Version 1.1: ImageMeta version 1.6' nl|'\n' comment|'# Version 1.2: SchedulerRetries version 1.1' nl|'\n' comment|'# Version 1.3: InstanceGroup version 1.10' nl|'\n' comment|'# Version 1.4: ImageMeta version 1.7' nl|'\n' comment|'# Version 1.5: Added get_by_instance_uuid(), create(), save()' nl|'\n' DECL|variable|VERSION indent|' ' name|'VERSION' op|'=' string|"'1.5'" newline|'\n' nl|'\n' DECL|variable|fields name|'fields' op|'=' op|'{' nl|'\n' string|"'id'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' op|')' op|',' nl|'\n' string|"'image'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'ImageMeta'" op|',' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'numa_topology'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'InstanceNUMATopology'" op|',' nl|'\n' DECL|variable|nullable name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'pci_requests'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'InstancePCIRequests'" op|',' nl|'\n' DECL|variable|nullable name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'project_id'" op|':' name|'fields' op|'.' name|'StringField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'availability_zone'" op|':' name|'fields' op|'.' name|'StringField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'flavor'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'Flavor'" op|',' name|'nullable' op|'=' name|'False' op|')' op|',' nl|'\n' string|"'num_instances'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' name|'default' op|'=' number|'1' op|')' op|',' nl|'\n' string|"'ignore_hosts'" op|':' name|'fields' op|'.' name|'ListOfStringsField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'force_hosts'" op|':' name|'fields' op|'.' name|'ListOfStringsField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'force_nodes'" op|':' name|'fields' op|'.' name|'ListOfStringsField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'retry'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'SchedulerRetries'" op|',' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'limits'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'SchedulerLimits'" op|',' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'instance_group'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'InstanceGroup'" op|',' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' comment|'# NOTE(sbauza): Since hints are depending on running filters, we prefer' nl|'\n' comment|'# to leave the API correctly validating the hints per the filters and' nl|'\n' comment|'# just provide to the RequestSpec object a free-form dictionary' nl|'\n' string|"'scheduler_hints'" op|':' name|'fields' op|'.' name|'DictOfListOfStringsField' op|'(' name|'nullable' op|'=' name|'True' op|')' op|',' nl|'\n' string|"'instance_uuid'" op|':' name|'fields' op|'.' name|'UUIDField' op|'(' op|')' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' op|'@' name|'property' newline|'\n' DECL|member|vcpus name|'def' name|'vcpus' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'self' op|'.' name|'flavor' op|'.' name|'vcpus' newline|'\n' nl|'\n' dedent|'' op|'@' name|'property' newline|'\n' DECL|member|memory_mb name|'def' name|'memory_mb' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'self' op|'.' name|'flavor' op|'.' name|'memory_mb' newline|'\n' nl|'\n' dedent|'' op|'@' name|'property' newline|'\n' DECL|member|root_gb name|'def' name|'root_gb' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'self' op|'.' name|'flavor' op|'.' name|'root_gb' newline|'\n' nl|'\n' dedent|'' op|'@' name|'property' newline|'\n' DECL|member|ephemeral_gb name|'def' name|'ephemeral_gb' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'self' op|'.' name|'flavor' op|'.' name|'ephemeral_gb' newline|'\n' nl|'\n' dedent|'' op|'@' name|'property' newline|'\n' DECL|member|swap name|'def' name|'swap' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'self' op|'.' name|'flavor' op|'.' name|'swap' newline|'\n' nl|'\n' DECL|member|_image_meta_from_image dedent|'' name|'def' name|'_image_meta_from_image' op|'(' name|'self' op|',' name|'image' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'isinstance' op|'(' name|'image' op|',' name|'objects' op|'.' name|'ImageMeta' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'image' op|'=' name|'image' newline|'\n' dedent|'' name|'elif' name|'isinstance' op|'(' name|'image' op|',' name|'dict' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): Until Nova is fully providing an ImageMeta object' nl|'\n' comment|'# for getting properties, we still need to hydrate it here' nl|'\n' comment|'# TODO(sbauza): To be removed once all RequestSpec hydrations are' nl|'\n' comment|'# done on the conductor side and if the image is an ImageMeta' nl|'\n' indent|' ' name|'self' op|'.' name|'image' op|'=' name|'objects' op|'.' name|'ImageMeta' op|'.' name|'from_dict' op|'(' name|'image' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'image' op|'=' name|'None' newline|'\n' nl|'\n' DECL|member|_from_instance dedent|'' dedent|'' name|'def' name|'_from_instance' op|'(' name|'self' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'isinstance' op|'(' name|'instance' op|',' name|'obj_instance' op|'.' name|'Instance' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): Instance should normally be a NovaObject...' nl|'\n' indent|' ' name|'getter' op|'=' name|'getattr' newline|'\n' dedent|'' name|'elif' name|'isinstance' op|'(' name|'instance' op|',' name|'dict' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): ... but there are some cases where request_spec' nl|'\n' comment|'# has an instance key as a dictionary, just because' nl|'\n' comment|'# select_destinations() is getting a request_spec dict made by' nl|'\n' comment|'# sched_utils.build_request_spec()' nl|'\n' comment|'# TODO(sbauza): To be removed once all RequestSpec hydrations are' nl|'\n' comment|'# done on the conductor side' nl|'\n' indent|' ' name|'getter' op|'=' name|'lambda' name|'x' op|',' name|'y' op|':' name|'x' op|'.' name|'get' op|'(' name|'y' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' comment|'# If the instance is None, there is no reason to set the fields' nl|'\n' indent|' ' name|'return' newline|'\n' nl|'\n' dedent|'' name|'instance_fields' op|'=' op|'[' string|"'numa_topology'" op|',' string|"'pci_requests'" op|',' string|"'uuid'" op|',' nl|'\n' string|"'project_id'" op|',' string|"'availability_zone'" op|']' newline|'\n' name|'for' name|'field' name|'in' name|'instance_fields' op|':' newline|'\n' indent|' ' name|'if' name|'field' op|'==' string|"'uuid'" op|':' newline|'\n' indent|' ' name|'setattr' op|'(' name|'self' op|',' string|"'instance_uuid'" op|',' name|'getter' op|'(' name|'instance' op|',' name|'field' op|')' op|')' newline|'\n' dedent|'' name|'elif' name|'field' op|'==' string|"'pci_requests'" op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_from_instance_pci_requests' op|'(' name|'getter' op|'(' name|'instance' op|',' name|'field' op|')' op|')' newline|'\n' dedent|'' name|'elif' name|'field' op|'==' string|"'numa_topology'" op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_from_instance_numa_topology' op|'(' name|'getter' op|'(' name|'instance' op|',' name|'field' op|')' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'setattr' op|'(' name|'self' op|',' name|'field' op|',' name|'getter' op|'(' name|'instance' op|',' name|'field' op|')' op|')' newline|'\n' nl|'\n' DECL|member|_from_instance_pci_requests dedent|'' dedent|'' dedent|'' name|'def' name|'_from_instance_pci_requests' op|'(' name|'self' op|',' name|'pci_requests' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'isinstance' op|'(' name|'pci_requests' op|',' name|'dict' op|')' op|':' newline|'\n' indent|' ' name|'pci_req_cls' op|'=' name|'objects' op|'.' name|'InstancePCIRequests' newline|'\n' name|'self' op|'.' name|'pci_requests' op|'=' name|'pci_req_cls' op|'.' name|'from_request_spec_instance_props' op|'(' nl|'\n' name|'pci_requests' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'pci_requests' op|'=' name|'pci_requests' newline|'\n' nl|'\n' DECL|member|_from_instance_numa_topology dedent|'' dedent|'' name|'def' name|'_from_instance_numa_topology' op|'(' name|'self' op|',' name|'numa_topology' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'isinstance' op|'(' name|'numa_topology' op|',' name|'dict' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'numa_topology' op|'=' name|'hardware' op|'.' name|'instance_topology_from_instance' op|'(' nl|'\n' name|'dict' op|'(' name|'numa_topology' op|'=' name|'numa_topology' op|')' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'numa_topology' op|'=' name|'numa_topology' newline|'\n' nl|'\n' DECL|member|_from_flavor dedent|'' dedent|'' name|'def' name|'_from_flavor' op|'(' name|'self' op|',' name|'flavor' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'isinstance' op|'(' name|'flavor' op|',' name|'objects' op|'.' name|'Flavor' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'flavor' op|'=' name|'flavor' newline|'\n' dedent|'' name|'elif' name|'isinstance' op|'(' name|'flavor' op|',' name|'dict' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): Again, request_spec is primitived by' nl|'\n' comment|'# sched_utils.build_request_spec() and passed to' nl|'\n' comment|'# select_destinations() like this' nl|'\n' comment|'# TODO(sbauza): To be removed once all RequestSpec hydrations are' nl|'\n' comment|'# done on the conductor side' nl|'\n' indent|' ' name|'self' op|'.' name|'flavor' op|'=' name|'objects' op|'.' name|'Flavor' op|'(' op|'**' name|'flavor' op|')' newline|'\n' nl|'\n' DECL|member|_from_retry dedent|'' dedent|'' name|'def' name|'_from_retry' op|'(' name|'self' op|',' name|'retry_dict' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'retry' op|'=' op|'(' name|'SchedulerRetries' op|'.' name|'from_dict' op|'(' name|'self' op|'.' name|'_context' op|',' name|'retry_dict' op|')' nl|'\n' name|'if' name|'retry_dict' name|'else' name|'None' op|')' newline|'\n' nl|'\n' DECL|member|_populate_group_info dedent|'' name|'def' name|'_populate_group_info' op|'(' name|'self' op|',' name|'filter_properties' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'filter_properties' op|'.' name|'get' op|'(' string|"'instance_group'" op|')' op|':' newline|'\n' comment|'# New-style group information as a NovaObject, we can directly set' nl|'\n' comment|'# the field' nl|'\n' indent|' ' name|'self' op|'.' name|'instance_group' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'instance_group'" op|')' newline|'\n' dedent|'' name|'elif' name|'filter_properties' op|'.' name|'get' op|'(' string|"'group_updated'" op|')' name|'is' name|'True' op|':' newline|'\n' comment|'# Old-style group information having ugly dict keys containing sets' nl|'\n' comment|'# NOTE(sbauza): Can be dropped once select_destinations is removed' nl|'\n' indent|' ' name|'policies' op|'=' name|'list' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'group_policies'" op|')' op|')' newline|'\n' name|'hosts' op|'=' name|'list' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'group_hosts'" op|')' op|')' newline|'\n' name|'members' op|'=' name|'list' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'group_members'" op|')' op|')' newline|'\n' name|'self' op|'.' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' name|'policies' op|'=' name|'policies' op|',' nl|'\n' name|'hosts' op|'=' name|'hosts' op|',' nl|'\n' name|'members' op|'=' name|'members' op|')' newline|'\n' comment|'# hosts has to be not part of the updates for saving the object' nl|'\n' name|'self' op|'.' name|'instance_group' op|'.' name|'obj_reset_changes' op|'(' op|'[' string|"'hosts'" op|']' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' comment|'# Set the value anyway to avoid any call to obj_attr_is_set for it' nl|'\n' indent|' ' name|'self' op|'.' name|'instance_group' op|'=' name|'None' newline|'\n' nl|'\n' DECL|member|_from_limits dedent|'' dedent|'' name|'def' name|'_from_limits' op|'(' name|'self' op|',' name|'limits_dict' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'limits' op|'=' name|'SchedulerLimits' op|'.' name|'from_dict' op|'(' name|'limits_dict' op|')' newline|'\n' nl|'\n' DECL|member|_from_hints dedent|'' name|'def' name|'_from_hints' op|'(' name|'self' op|',' name|'hints_dict' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'hints_dict' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'scheduler_hints' op|'=' name|'None' newline|'\n' name|'return' newline|'\n' dedent|'' name|'self' op|'.' name|'scheduler_hints' op|'=' op|'{' nl|'\n' name|'hint' op|':' name|'value' name|'if' name|'isinstance' op|'(' name|'value' op|',' name|'list' op|')' name|'else' op|'[' name|'value' op|']' nl|'\n' name|'for' name|'hint' op|',' name|'value' name|'in' name|'six' op|'.' name|'iteritems' op|'(' name|'hints_dict' op|')' op|'}' newline|'\n' nl|'\n' dedent|'' op|'@' name|'classmethod' newline|'\n' DECL|member|from_primitives name|'def' name|'from_primitives' op|'(' name|'cls' op|',' name|'context' op|',' name|'request_spec' op|',' name|'filter_properties' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns a new RequestSpec object by hydrating it from legacy dicts.\n\n Deprecated. A RequestSpec object is created early in the boot process\n using the from_components method. That object will either be passed to\n places that require it, or it can be looked up with\n get_by_instance_uuid. This method can be removed when there are no\n longer any callers. Because the method is not remotable it is not tied\n to object versioning.\n\n That helper is not intended to leave the legacy dicts kept in the nova\n codebase, but is rather just for giving a temporary solution for\n populating the Spec object until we get rid of scheduler_utils\'\n build_request_spec() and the filter_properties hydratation in the\n conductor.\n\n :param context: a context object\n :param request_spec: An old-style request_spec dictionary\n :param filter_properties: An old-style filter_properties dictionary\n """' newline|'\n' name|'num_instances' op|'=' name|'request_spec' op|'.' name|'get' op|'(' string|"'num_instances'" op|',' number|'1' op|')' newline|'\n' name|'spec' op|'=' name|'cls' op|'(' name|'context' op|',' name|'num_instances' op|'=' name|'num_instances' op|')' newline|'\n' comment|'# Hydrate from request_spec first' nl|'\n' name|'image' op|'=' name|'request_spec' op|'.' name|'get' op|'(' string|"'image'" op|')' newline|'\n' name|'spec' op|'.' name|'_image_meta_from_image' op|'(' name|'image' op|')' newline|'\n' name|'instance' op|'=' name|'request_spec' op|'.' name|'get' op|'(' string|"'instance_properties'" op|')' newline|'\n' name|'spec' op|'.' name|'_from_instance' op|'(' name|'instance' op|')' newline|'\n' name|'flavor' op|'=' name|'request_spec' op|'.' name|'get' op|'(' string|"'instance_type'" op|')' newline|'\n' name|'spec' op|'.' name|'_from_flavor' op|'(' name|'flavor' op|')' newline|'\n' comment|'# Hydrate now from filter_properties' nl|'\n' name|'spec' op|'.' name|'ignore_hosts' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'ignore_hosts'" op|')' newline|'\n' name|'spec' op|'.' name|'force_hosts' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'force_hosts'" op|')' newline|'\n' name|'spec' op|'.' name|'force_nodes' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'force_nodes'" op|')' newline|'\n' name|'retry' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'retry'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec' op|'.' name|'_from_retry' op|'(' name|'retry' op|')' newline|'\n' name|'limits' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'limits'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec' op|'.' name|'_from_limits' op|'(' name|'limits' op|')' newline|'\n' name|'spec' op|'.' name|'_populate_group_info' op|'(' name|'filter_properties' op|')' newline|'\n' name|'scheduler_hints' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'scheduler_hints'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec' op|'.' name|'_from_hints' op|'(' name|'scheduler_hints' op|')' newline|'\n' name|'return' name|'spec' newline|'\n' nl|'\n' DECL|member|get_scheduler_hint dedent|'' name|'def' name|'get_scheduler_hint' op|'(' name|'self' op|',' name|'hint_name' op|',' name|'default' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Convenient helper for accessing a particular scheduler hint since\n it is hydrated by putting a single item into a list.\n\n In order to reduce the complexity, that helper returns a string if the\n requested hint is a list of only one value, and if not, returns the\n value directly (ie. the list). If the hint is not existing (or\n scheduler_hints is None), then it returns the default value.\n\n :param hint_name: name of the hint\n :param default: the default value if the hint is not there\n """' newline|'\n' name|'if' op|'(' name|'not' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'scheduler_hints'" op|')' nl|'\n' name|'or' name|'self' op|'.' name|'scheduler_hints' name|'is' name|'None' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'default' newline|'\n' dedent|'' name|'hint_val' op|'=' name|'self' op|'.' name|'scheduler_hints' op|'.' name|'get' op|'(' name|'hint_name' op|',' name|'default' op|')' newline|'\n' name|'return' op|'(' name|'hint_val' op|'[' number|'0' op|']' name|'if' name|'isinstance' op|'(' name|'hint_val' op|',' name|'list' op|')' nl|'\n' name|'and' name|'len' op|'(' name|'hint_val' op|')' op|'==' number|'1' name|'else' name|'hint_val' op|')' newline|'\n' nl|'\n' DECL|member|_to_legacy_image dedent|'' name|'def' name|'_to_legacy_image' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'base' op|'.' name|'obj_to_primitive' op|'(' name|'self' op|'.' name|'image' op|')' name|'if' op|'(' nl|'\n' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'image'" op|')' name|'and' name|'self' op|'.' name|'image' op|')' name|'else' op|'{' op|'}' newline|'\n' nl|'\n' DECL|member|_to_legacy_instance dedent|'' name|'def' name|'_to_legacy_instance' op|'(' name|'self' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): Since the RequestSpec only persists a few Instance' nl|'\n' comment|'# fields, we can only return a dict.' nl|'\n' indent|' ' name|'instance' op|'=' op|'{' op|'}' newline|'\n' name|'instance_fields' op|'=' op|'[' string|"'numa_topology'" op|',' string|"'pci_requests'" op|',' nl|'\n' string|"'project_id'" op|',' string|"'availability_zone'" op|',' string|"'instance_uuid'" op|']' newline|'\n' name|'for' name|'field' name|'in' name|'instance_fields' op|':' newline|'\n' indent|' ' name|'if' name|'not' name|'self' op|'.' name|'obj_attr_is_set' op|'(' name|'field' op|')' op|':' newline|'\n' indent|' ' name|'continue' newline|'\n' dedent|'' name|'if' name|'field' op|'==' string|"'instance_uuid'" op|':' newline|'\n' indent|' ' name|'instance' op|'[' string|"'uuid'" op|']' op|'=' name|'getattr' op|'(' name|'self' op|',' name|'field' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'instance' op|'[' name|'field' op|']' op|'=' name|'getattr' op|'(' name|'self' op|',' name|'field' op|')' newline|'\n' dedent|'' dedent|'' name|'flavor_fields' op|'=' op|'[' string|"'root_gb'" op|',' string|"'ephemeral_gb'" op|',' string|"'memory_mb'" op|',' string|"'vcpus'" op|']' newline|'\n' name|'if' name|'not' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'flavor'" op|')' op|':' newline|'\n' indent|' ' name|'return' name|'instance' newline|'\n' dedent|'' name|'for' name|'field' name|'in' name|'flavor_fields' op|':' newline|'\n' indent|' ' name|'instance' op|'[' name|'field' op|']' op|'=' name|'getattr' op|'(' name|'self' op|'.' name|'flavor' op|',' name|'field' op|')' newline|'\n' dedent|'' name|'return' name|'instance' newline|'\n' nl|'\n' DECL|member|_to_legacy_group_info dedent|'' name|'def' name|'_to_legacy_group_info' op|'(' name|'self' op|')' op|':' newline|'\n' comment|'# NOTE(sbauza): Since this is only needed until the AffinityFilters are' nl|'\n' comment|'# modified by using directly the RequestSpec object, we need to keep' nl|'\n' comment|'# the existing dictionary as a primitive.' nl|'\n' indent|' ' name|'return' op|'{' string|"'group_updated'" op|':' name|'True' op|',' nl|'\n' string|"'group_hosts'" op|':' name|'set' op|'(' name|'self' op|'.' name|'instance_group' op|'.' name|'hosts' op|')' op|',' nl|'\n' string|"'group_policies'" op|':' name|'set' op|'(' name|'self' op|'.' name|'instance_group' op|'.' name|'policies' op|')' op|'}' newline|'\n' nl|'\n' DECL|member|to_legacy_request_spec_dict dedent|'' name|'def' name|'to_legacy_request_spec_dict' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns a legacy request_spec dict from the RequestSpec object.\n\n Since we need to manage backwards compatibility and rolling upgrades\n within our RPC API, we need to accept to provide an helper for\n primitiving the right RequestSpec object into a legacy dict until we\n drop support for old Scheduler RPC API versions.\n If you don\'t understand why this method is needed, please don\'t use it.\n """' newline|'\n' name|'req_spec' op|'=' op|'{' op|'}' newline|'\n' name|'if' name|'not' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'num_instances'" op|')' op|':' newline|'\n' indent|' ' name|'req_spec' op|'[' string|"'num_instances'" op|']' op|'=' name|'self' op|'.' name|'fields' op|'[' string|"'num_instances'" op|']' op|'.' name|'default' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'req_spec' op|'[' string|"'num_instances'" op|']' op|'=' name|'self' op|'.' name|'num_instances' newline|'\n' dedent|'' name|'req_spec' op|'[' string|"'image'" op|']' op|'=' name|'self' op|'.' name|'_to_legacy_image' op|'(' op|')' newline|'\n' name|'req_spec' op|'[' string|"'instance_properties'" op|']' op|'=' name|'self' op|'.' name|'_to_legacy_instance' op|'(' op|')' newline|'\n' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'flavor'" op|')' op|':' newline|'\n' indent|' ' name|'req_spec' op|'[' string|"'instance_type'" op|']' op|'=' name|'self' op|'.' name|'flavor' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'req_spec' op|'[' string|"'instance_type'" op|']' op|'=' op|'{' op|'}' newline|'\n' dedent|'' name|'return' name|'req_spec' newline|'\n' nl|'\n' DECL|member|to_legacy_filter_properties_dict dedent|'' name|'def' name|'to_legacy_filter_properties_dict' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns a legacy filter_properties dict from the RequestSpec object.\n\n Since we need to manage backwards compatibility and rolling upgrades\n within our RPC API, we need to accept to provide an helper for\n primitiving the right RequestSpec object into a legacy dict until we\n drop support for old Scheduler RPC API versions.\n If you don\'t understand why this method is needed, please don\'t use it.\n """' newline|'\n' name|'filt_props' op|'=' op|'{' op|'}' newline|'\n' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'ignore_hosts'" op|')' name|'and' name|'self' op|'.' name|'ignore_hosts' op|':' newline|'\n' indent|' ' name|'filt_props' op|'[' string|"'ignore_hosts'" op|']' op|'=' name|'self' op|'.' name|'ignore_hosts' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'force_hosts'" op|')' name|'and' name|'self' op|'.' name|'force_hosts' op|':' newline|'\n' indent|' ' name|'filt_props' op|'[' string|"'force_hosts'" op|']' op|'=' name|'self' op|'.' name|'force_hosts' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'force_nodes'" op|')' name|'and' name|'self' op|'.' name|'force_nodes' op|':' newline|'\n' indent|' ' name|'filt_props' op|'[' string|"'force_nodes'" op|']' op|'=' name|'self' op|'.' name|'force_nodes' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'retry'" op|')' name|'and' name|'self' op|'.' name|'retry' op|':' newline|'\n' indent|' ' name|'filt_props' op|'[' string|"'retry'" op|']' op|'=' name|'self' op|'.' name|'retry' op|'.' name|'to_dict' op|'(' op|')' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'limits'" op|')' name|'and' name|'self' op|'.' name|'limits' op|':' newline|'\n' indent|' ' name|'filt_props' op|'[' string|"'limits'" op|']' op|'=' name|'self' op|'.' name|'limits' op|'.' name|'to_dict' op|'(' op|')' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'instance_group'" op|')' name|'and' name|'self' op|'.' name|'instance_group' op|':' newline|'\n' indent|' ' name|'filt_props' op|'.' name|'update' op|'(' name|'self' op|'.' name|'_to_legacy_group_info' op|'(' op|')' op|')' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'scheduler_hints'" op|')' name|'and' name|'self' op|'.' name|'scheduler_hints' op|':' newline|'\n' comment|'# NOTE(sbauza): We need to backport all the hints correctly since' nl|'\n' comment|'# we had to hydrate the field by putting a single item into a list.' nl|'\n' indent|' ' name|'filt_props' op|'[' string|"'scheduler_hints'" op|']' op|'=' op|'{' name|'hint' op|':' name|'self' op|'.' name|'get_scheduler_hint' op|'(' nl|'\n' name|'hint' op|')' name|'for' name|'hint' name|'in' name|'self' op|'.' name|'scheduler_hints' op|'}' newline|'\n' dedent|'' name|'return' name|'filt_props' newline|'\n' nl|'\n' dedent|'' op|'@' name|'classmethod' newline|'\n' DECL|member|from_components name|'def' name|'from_components' op|'(' name|'cls' op|',' name|'context' op|',' name|'instance_uuid' op|',' name|'image' op|',' name|'flavor' op|',' nl|'\n' name|'numa_topology' op|',' name|'pci_requests' op|',' name|'filter_properties' op|',' name|'instance_group' op|',' nl|'\n' name|'availability_zone' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns a new RequestSpec object hydrated by various components.\n\n This helper is useful in creating the RequestSpec from the various\n objects that are assembled early in the boot process. This method\n creates a complete RequestSpec object with all properties set or\n intentionally left blank.\n\n :param context: a context object\n :param instance_uuid: the uuid of the instance to schedule\n :param image: a dict of properties for an image or volume\n :param flavor: a flavor NovaObject\n :param numa_topology: InstanceNUMATopology or None\n :param pci_requests: InstancePCIRequests\n :param filter_properties: a dict of properties for scheduling\n :param instance_group: None or an instance group NovaObject\n :param availability_zone: an availability_zone string\n """' newline|'\n' name|'spec_obj' op|'=' name|'cls' op|'(' name|'context' op|')' newline|'\n' name|'spec_obj' op|'.' name|'num_instances' op|'=' number|'1' newline|'\n' name|'spec_obj' op|'.' name|'instance_uuid' op|'=' name|'instance_uuid' newline|'\n' name|'spec_obj' op|'.' name|'instance_group' op|'=' name|'instance_group' newline|'\n' name|'if' name|'spec_obj' op|'.' name|'instance_group' name|'is' name|'None' name|'and' name|'filter_properties' op|':' newline|'\n' indent|' ' name|'spec_obj' op|'.' name|'_populate_group_info' op|'(' name|'filter_properties' op|')' newline|'\n' dedent|'' name|'spec_obj' op|'.' name|'project_id' op|'=' name|'context' op|'.' name|'project_id' newline|'\n' name|'spec_obj' op|'.' name|'_image_meta_from_image' op|'(' name|'image' op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_flavor' op|'(' name|'flavor' op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_instance_pci_requests' op|'(' name|'pci_requests' op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_instance_numa_topology' op|'(' name|'numa_topology' op|')' newline|'\n' name|'spec_obj' op|'.' name|'ignore_hosts' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'ignore_hosts'" op|')' newline|'\n' name|'spec_obj' op|'.' name|'force_hosts' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'force_hosts'" op|')' newline|'\n' name|'spec_obj' op|'.' name|'force_nodes' op|'=' name|'filter_properties' op|'.' name|'get' op|'(' string|"'force_nodes'" op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_retry' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'retry'" op|',' op|'{' op|'}' op|')' op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_limits' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'limits'" op|',' op|'{' op|'}' op|')' op|')' newline|'\n' name|'spec_obj' op|'.' name|'_from_hints' op|'(' name|'filter_properties' op|'.' name|'get' op|'(' string|"'scheduler_hints'" op|',' op|'{' op|'}' op|')' op|')' newline|'\n' name|'spec_obj' op|'.' name|'availability_zone' op|'=' name|'availability_zone' newline|'\n' name|'return' name|'spec_obj' newline|'\n' nl|'\n' dedent|'' op|'@' name|'staticmethod' newline|'\n' DECL|member|_from_db_object name|'def' name|'_from_db_object' op|'(' name|'context' op|',' name|'spec' op|',' name|'db_spec' op|')' op|':' newline|'\n' indent|' ' name|'spec_obj' op|'=' name|'spec' op|'.' name|'obj_from_primitive' op|'(' name|'jsonutils' op|'.' name|'loads' op|'(' name|'db_spec' op|'[' string|"'spec'" op|']' op|')' op|')' newline|'\n' name|'for' name|'key' name|'in' name|'spec' op|'.' name|'fields' op|':' newline|'\n' comment|'# Load these from the db model not the serialized object within,' nl|'\n' comment|'# though they should match.' nl|'\n' indent|' ' name|'if' name|'key' name|'in' op|'[' string|"'id'" op|',' string|"'instance_uuid'" op|']' op|':' newline|'\n' indent|' ' name|'setattr' op|'(' name|'spec' op|',' name|'key' op|',' name|'db_spec' op|'[' name|'key' op|']' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'setattr' op|'(' name|'spec' op|',' name|'key' op|',' name|'getattr' op|'(' name|'spec_obj' op|',' name|'key' op|')' op|')' newline|'\n' dedent|'' dedent|'' name|'spec' op|'.' name|'_context' op|'=' name|'context' newline|'\n' name|'spec' op|'.' name|'obj_reset_changes' op|'(' op|')' newline|'\n' name|'return' name|'spec' newline|'\n' nl|'\n' dedent|'' op|'@' name|'staticmethod' newline|'\n' op|'@' name|'db' op|'.' name|'api_context_manager' op|'.' name|'reader' newline|'\n' DECL|member|_get_by_instance_uuid_from_db name|'def' name|'_get_by_instance_uuid_from_db' op|'(' name|'context' op|',' name|'instance_uuid' op|')' op|':' newline|'\n' indent|' ' name|'db_spec' op|'=' name|'context' op|'.' name|'session' op|'.' name|'query' op|'(' name|'api_models' op|'.' name|'RequestSpec' op|')' op|'.' name|'filter_by' op|'(' nl|'\n' name|'instance_uuid' op|'=' name|'instance_uuid' op|')' op|'.' name|'first' op|'(' op|')' newline|'\n' name|'if' name|'not' name|'db_spec' op|':' newline|'\n' indent|' ' name|'raise' name|'exception' op|'.' name|'RequestSpecNotFound' op|'(' nl|'\n' name|'instance_uuid' op|'=' name|'instance_uuid' op|')' newline|'\n' dedent|'' name|'return' name|'db_spec' newline|'\n' nl|'\n' dedent|'' op|'@' name|'base' op|'.' name|'remotable_classmethod' newline|'\n' DECL|member|get_by_instance_uuid name|'def' name|'get_by_instance_uuid' op|'(' name|'cls' op|',' name|'context' op|',' name|'instance_uuid' op|')' op|':' newline|'\n' indent|' ' name|'db_spec' op|'=' name|'cls' op|'.' name|'_get_by_instance_uuid_from_db' op|'(' name|'context' op|',' name|'instance_uuid' op|')' newline|'\n' name|'return' name|'cls' op|'.' name|'_from_db_object' op|'(' name|'context' op|',' name|'cls' op|'(' op|')' op|',' name|'db_spec' op|')' newline|'\n' nl|'\n' dedent|'' op|'@' name|'staticmethod' newline|'\n' op|'@' name|'db' op|'.' name|'api_context_manager' op|'.' name|'writer' newline|'\n' DECL|member|_create_in_db name|'def' name|'_create_in_db' op|'(' name|'context' op|',' name|'updates' op|')' op|':' newline|'\n' indent|' ' name|'db_spec' op|'=' name|'api_models' op|'.' name|'RequestSpec' op|'(' op|')' newline|'\n' name|'db_spec' op|'.' name|'update' op|'(' name|'updates' op|')' newline|'\n' name|'db_spec' op|'.' name|'save' op|'(' name|'context' op|'.' name|'session' op|')' newline|'\n' name|'return' name|'db_spec' newline|'\n' nl|'\n' DECL|member|_get_update_primitives dedent|'' name|'def' name|'_get_update_primitives' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Serialize object to match the db model.\n\n We store copies of embedded objects rather than\n references to these objects because we want a snapshot of the request\n at this point. If the references changed or were deleted we would\n not be able to reschedule this instance under the same conditions as\n it was originally scheduled with.\n """' newline|'\n' name|'updates' op|'=' name|'self' op|'.' name|'obj_get_changes' op|'(' op|')' newline|'\n' comment|'# NOTE(alaski): The db schema is the full serialized object in a' nl|'\n' comment|"# 'spec' column. If anything has changed we rewrite the full thing." nl|'\n' name|'if' name|'updates' op|':' newline|'\n' indent|' ' name|'db_updates' op|'=' op|'{' string|"'spec'" op|':' name|'jsonutils' op|'.' name|'dumps' op|'(' name|'self' op|'.' name|'obj_to_primitive' op|'(' op|')' op|')' op|'}' newline|'\n' name|'if' string|"'instance_uuid'" name|'in' name|'updates' op|':' newline|'\n' indent|' ' name|'db_updates' op|'[' string|"'instance_uuid'" op|']' op|'=' name|'updates' op|'[' string|"'instance_uuid'" op|']' newline|'\n' dedent|'' dedent|'' name|'return' name|'db_updates' newline|'\n' nl|'\n' dedent|'' op|'@' name|'base' op|'.' name|'remotable' newline|'\n' DECL|member|create name|'def' name|'create' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'self' op|'.' name|'obj_attr_is_set' op|'(' string|"'id'" op|')' op|':' newline|'\n' indent|' ' name|'raise' name|'exception' op|'.' name|'ObjectActionError' op|'(' name|'action' op|'=' string|"'create'" op|',' nl|'\n' name|'reason' op|'=' string|"'already created'" op|')' newline|'\n' nl|'\n' dedent|'' name|'updates' op|'=' name|'self' op|'.' name|'_get_update_primitives' op|'(' op|')' newline|'\n' nl|'\n' name|'db_spec' op|'=' name|'self' op|'.' name|'_create_in_db' op|'(' name|'self' op|'.' name|'_context' op|',' name|'updates' op|')' newline|'\n' name|'self' op|'.' name|'_from_db_object' op|'(' name|'self' op|'.' name|'_context' op|',' name|'self' op|',' name|'db_spec' op|')' newline|'\n' nl|'\n' dedent|'' op|'@' name|'staticmethod' newline|'\n' op|'@' name|'db' op|'.' name|'api_context_manager' op|'.' name|'writer' newline|'\n' DECL|member|_save_in_db name|'def' name|'_save_in_db' op|'(' name|'context' op|',' name|'instance_uuid' op|',' name|'updates' op|')' op|':' newline|'\n' comment|'# FIXME(sbauza): Provide a classmethod when oslo.db bug #1520195 is' nl|'\n' comment|'# fixed and released' nl|'\n' indent|' ' name|'db_spec' op|'=' name|'RequestSpec' op|'.' name|'_get_by_instance_uuid_from_db' op|'(' name|'context' op|',' nl|'\n' name|'instance_uuid' op|')' newline|'\n' name|'db_spec' op|'.' name|'update' op|'(' name|'updates' op|')' newline|'\n' name|'db_spec' op|'.' name|'save' op|'(' name|'context' op|'.' name|'session' op|')' newline|'\n' name|'return' name|'db_spec' newline|'\n' nl|'\n' dedent|'' op|'@' name|'base' op|'.' name|'remotable' newline|'\n' DECL|member|save name|'def' name|'save' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'updates' op|'=' name|'self' op|'.' name|'_get_update_primitives' op|'(' op|')' newline|'\n' name|'db_spec' op|'=' name|'self' op|'.' name|'_save_in_db' op|'(' name|'self' op|'.' name|'_context' op|',' name|'self' op|'.' name|'instance_uuid' op|',' name|'updates' op|')' newline|'\n' name|'self' op|'.' name|'_from_db_object' op|'(' name|'self' op|'.' name|'_context' op|',' name|'self' op|',' name|'db_spec' op|')' newline|'\n' name|'self' op|'.' name|'obj_reset_changes' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|reset_forced_destinations dedent|'' name|'def' name|'reset_forced_destinations' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Clears the forced destination fields from the RequestSpec object.\n\n This method is for making sure we don\'t ask the scheduler to give us\n again the same destination(s) without persisting the modifications.\n """' newline|'\n' name|'self' op|'.' name|'force_hosts' op|'=' name|'None' newline|'\n' name|'self' op|'.' name|'force_nodes' op|'=' name|'None' newline|'\n' comment|"# NOTE(sbauza): Make sure we don't persist this, we need to keep the" nl|'\n' comment|'# original request for the forced hosts' nl|'\n' name|'self' op|'.' name|'obj_reset_changes' op|'(' op|'[' string|"'force_hosts'" op|',' string|"'force_nodes'" op|']' op|')' newline|'\n' nl|'\n' nl|'\n' dedent|'' dedent|'' op|'@' name|'base' op|'.' name|'NovaObjectRegistry' op|'.' name|'register' newline|'\n' DECL|class|SchedulerRetries name|'class' name|'SchedulerRetries' op|'(' name|'base' op|'.' name|'NovaObject' op|')' op|':' newline|'\n' comment|'# Version 1.0: Initial version' nl|'\n' comment|'# Version 1.1: ComputeNodeList version 1.14' nl|'\n' DECL|variable|VERSION indent|' ' name|'VERSION' op|'=' string|"'1.1'" newline|'\n' nl|'\n' DECL|variable|fields name|'fields' op|'=' op|'{' nl|'\n' string|"'num_attempts'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' op|')' op|',' nl|'\n' comment|'# NOTE(sbauza): Even if we are only using host/node strings, we need to' nl|'\n' comment|'# know which compute nodes were tried' nl|'\n' string|"'hosts'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'ComputeNodeList'" op|')' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' op|'@' name|'classmethod' newline|'\n' DECL|member|from_dict name|'def' name|'from_dict' op|'(' name|'cls' op|',' name|'context' op|',' name|'retry_dict' op|')' op|':' newline|'\n' comment|"# NOTE(sbauza): We are not persisting the user context since it's only" nl|'\n' comment|'# needed for hydrating the Retry object' nl|'\n' indent|' ' name|'retry_obj' op|'=' name|'cls' op|'(' op|')' newline|'\n' name|'if' name|'not' op|'(' string|"'num_attempts'" name|'and' string|"'hosts'" op|')' name|'in' name|'retry_dict' op|':' newline|'\n' comment|'# NOTE(sbauza): We prefer to return an empty object if the' nl|'\n' comment|'# primitive is not good enough' nl|'\n' indent|' ' name|'return' name|'retry_obj' newline|'\n' dedent|'' name|'retry_obj' op|'.' name|'num_attempts' op|'=' name|'retry_dict' op|'.' name|'get' op|'(' string|"'num_attempts'" op|')' newline|'\n' comment|"# NOTE(sbauza): each retry_dict['hosts'] item is a list of [host, node]" nl|'\n' name|'computes' op|'=' op|'[' name|'objects' op|'.' name|'ComputeNode' op|'(' name|'context' op|'=' name|'context' op|',' name|'host' op|'=' name|'host' op|',' nl|'\n' name|'hypervisor_hostname' op|'=' name|'node' op|')' nl|'\n' name|'for' name|'host' op|',' name|'node' name|'in' name|'retry_dict' op|'.' name|'get' op|'(' string|"'hosts'" op|')' op|']' newline|'\n' name|'retry_obj' op|'.' name|'hosts' op|'=' name|'objects' op|'.' name|'ComputeNodeList' op|'(' name|'objects' op|'=' name|'computes' op|')' newline|'\n' name|'return' name|'retry_obj' newline|'\n' nl|'\n' DECL|member|to_dict dedent|'' name|'def' name|'to_dict' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'legacy_hosts' op|'=' op|'[' op|'[' name|'cn' op|'.' name|'host' op|',' name|'cn' op|'.' name|'hypervisor_hostname' op|']' name|'for' name|'cn' name|'in' name|'self' op|'.' name|'hosts' op|']' newline|'\n' name|'return' op|'{' string|"'num_attempts'" op|':' name|'self' op|'.' name|'num_attempts' op|',' nl|'\n' string|"'hosts'" op|':' name|'legacy_hosts' op|'}' newline|'\n' nl|'\n' nl|'\n' dedent|'' dedent|'' op|'@' name|'base' op|'.' name|'NovaObjectRegistry' op|'.' name|'register' newline|'\n' DECL|class|SchedulerLimits name|'class' name|'SchedulerLimits' op|'(' name|'base' op|'.' name|'NovaObject' op|')' op|':' newline|'\n' comment|'# Version 1.0: Initial version' nl|'\n' DECL|variable|VERSION indent|' ' name|'VERSION' op|'=' string|"'1.0'" newline|'\n' nl|'\n' DECL|variable|fields name|'fields' op|'=' op|'{' nl|'\n' string|"'numa_topology'" op|':' name|'fields' op|'.' name|'ObjectField' op|'(' string|"'NUMATopologyLimits'" op|',' nl|'\n' DECL|variable|nullable name|'nullable' op|'=' name|'True' op|',' nl|'\n' DECL|variable|default name|'default' op|'=' name|'None' op|')' op|',' nl|'\n' string|"'vcpu'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' name|'nullable' op|'=' name|'True' op|',' name|'default' op|'=' name|'None' op|')' op|',' nl|'\n' string|"'disk_gb'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' name|'nullable' op|'=' name|'True' op|',' name|'default' op|'=' name|'None' op|')' op|',' nl|'\n' string|"'memory_mb'" op|':' name|'fields' op|'.' name|'IntegerField' op|'(' name|'nullable' op|'=' name|'True' op|',' name|'default' op|'=' name|'None' op|')' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' op|'@' name|'classmethod' newline|'\n' DECL|member|from_dict name|'def' name|'from_dict' op|'(' name|'cls' op|',' name|'limits_dict' op|')' op|':' newline|'\n' indent|' ' name|'limits' op|'=' name|'cls' op|'(' op|'**' name|'limits_dict' op|')' newline|'\n' comment|'# NOTE(sbauza): Since the limits can be set for each field or not, we' nl|'\n' comment|'# prefer to have the fields nullable, but default the value to None.' nl|'\n' comment|'# Here we accept that the object is always generated from a primitive' nl|'\n' comment|'# hence the use of obj_set_defaults exceptionally.' nl|'\n' name|'limits' op|'.' name|'obj_set_defaults' op|'(' op|')' newline|'\n' name|'return' name|'limits' newline|'\n' nl|'\n' DECL|member|to_dict dedent|'' name|'def' name|'to_dict' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'limits' op|'=' op|'{' op|'}' newline|'\n' name|'for' name|'field' name|'in' name|'self' op|'.' name|'fields' op|':' newline|'\n' indent|' ' name|'if' name|'getattr' op|'(' name|'self' op|',' name|'field' op|')' name|'is' name|'not' name|'None' op|':' newline|'\n' indent|' ' name|'limits' op|'[' name|'field' op|']' op|'=' name|'getattr' op|'(' name|'self' op|',' name|'field' op|')' newline|'\n' dedent|'' dedent|'' name|'return' name|'limits' newline|'\n' dedent|'' dedent|'' endmarker|'' end_unit

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5fc0e71e7d02ff582dfa669b591962a12eb2e52f

95

py

Python

setup.py

codingjoe/codingjoes_new_package

56d7b5a01f1504ce1b5e3e2850cfc68d28d7d02a

[ "MIT" ]

null

setup.py

codingjoe/codingjoes_new_package

56d7b5a01f1504ce1b5e3e2850cfc68d28d7d02a

[ "MIT" ]

null

setup.py

codingjoe/codingjoes_new_package

56d7b5a01f1504ce1b5e3e2850cfc68d28d7d02a

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup setup(version_format='{tag}.dev{commits}')

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5fc6590fd9eb4ea09aea8a11243e79690219e923

171

py

Python

JPS_Chatbot/EnvironmentTest/chatbot/calculate.py

mdhillmancmcl/TheWorldAvatar-CMCL-Fork

011aee78c016b76762eaf511c78fabe3f98189f4

[ "MIT" ]

21

2021-03-08T01:58:25.000Z

2022-03-09T15:46:16.000Z

JPS_Chatbot/EnvironmentTest/chatbot/calculate.py

mdhillmancmcl/TheWorldAvatar-CMCL-Fork

011aee78c016b76762eaf511c78fabe3f98189f4

[ "MIT" ]

63

2021-05-04T15:05:30.000Z

2022-03-23T14:32:29.000Z

JPS_Chatbot/EnvironmentTest/chatbot/calculate.py

mdhillmancmcl/TheWorldAvatar-CMCL-Fork

011aee78c016b76762eaf511c78fabe3f98189f4

[ "MIT" ]

15

2021-03-08T07:52:03.000Z

2022-03-29T04:46:20.000Z

class Calculator: def __init__(self, socket): self.socket = socket def run(self): self.socket.emit('response', 'Here is your result')

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396ba326c6d51e9cb8dcedff321b5b1b4b698c65

328

py

Python

dgs/context_processors.py

machakux/dgs

46de3cdaced5e4afef46fa46c7a3303d53df0da0

[ "Unlicense" ]

6

2017-11-06T02:50:31.000Z

2021-09-18T08:12:05.000Z

dgs/context_processors.py

machakux/dgs

46de3cdaced5e4afef46fa46c7a3303d53df0da0

[ "Unlicense" ]

5

2017-07-08T07:58:07.000Z

2017-09-11T06:13:03.000Z

dgs/context_processors.py

machakux/dgs

46de3cdaced5e4afef46fa46c7a3303d53df0da0

[ "Unlicense" ]

2

2017-09-15T20:49:41.000Z

2019-09-10T11:03:59.000Z

from django.conf import settings def site(request): return { 'SITE_NAME': getattr(settings, 'SITE_NAME', ''), 'PUBLIC_SITE_URL': getattr(settings, 'PUBLIC_SITE_URL', '/'), 'SITE_API_NAME': getattr(settings, 'SITE_API_NAME', ''), 'SITE_API_URL': getattr(settings, 'SITE_API_URL', ''), }

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null

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0

null

0

1

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4

3986566ad8c7363cf4384f57099947cb91e07deb

2,273

py

Python

utilities/test_find_pairs_pt.py

davemungo/various

ed7c17f8b75a27fc59b0a5cad6125d64d00cd3ce

[ "MIT" ]

1

2020-01-19T01:21:56.000Z

utilities/test_find_pairs_pt.py

davemungo/various

ed7c17f8b75a27fc59b0a5cad6125d64d00cd3ce

[ "MIT" ]

null

utilities/test_find_pairs_pt.py

davemungo/various

ed7c17f8b75a27fc59b0a5cad6125d64d00cd3ce

[ "MIT" ]

1

2021-07-02T14:40:01.000Z

# Test code for find_pairs_pt.py import pytest import find_pairs_pt as fp def test_no_pairs(): test_array = [9] response = [] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_one_pair(): test_array = [1,9] response = [(1,9)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response # Same thing, order reversed test_array = [9,1] response = [(9,1)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_values_to_skip(): test_array = [9,1,6] response = [(9,1)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_use_both_end_values(): test_array = [9,6,1] response = [(9,1)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_avoid_repeated_single_value(): test_array = [5] response = [] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_repeated_values(): test_array = [5,5] response = [(5,5)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_multiple_pairs(): test_array = [9,6,1,4,7] response = [(9,1), (6,4)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_multiple_pairs_repeated_value(): test_array = [9,6,1,4,7,1] response = [(9,1), (9,1), (6,4)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response def test_alternate_target(): test_array = [1,3,7,5,9] target_value = 14 response = [(5,9)] assert fp.find_pairs_simple(test_array, target_value) == response assert fp.find_pairs(test_array, target_value) == response def test_negative_values(): test_array = [13,-3,7,5,9] response = [(13,-3)] assert fp.find_pairs_simple(test_array) == response assert fp.find_pairs(test_array) == response

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0

null

1

0

1

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null

0

4

39b1faeb8921d5ab678c96768e71ca41de1684aa

52

py

Python

examples/struct_instantiation/__init__.py

radeklat/sparkql

57d55c7599460f2e7e5957c037d7c25cedb92647

[ "MIT" ]

6

2020-02-12T14:01:08.000Z

2020-05-29T05:35:09.000Z

examples/struct_instantiation/__init__.py

radeklat/sparkql

57d55c7599460f2e7e5957c037d7c25cedb92647

[ "MIT" ]

31

2020-02-09T18:52:52.000Z

2020-05-15T16:03:32.000Z

examples/struct_instantiation/__init__.py

radeklat/sparkql

57d55c7599460f2e7e5957c037d7c25cedb92647

[ "MIT" ]

1

2020-04-03T19:23:08.000Z

"""Examples of creating an instance of a schema."""

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1

0

null

0

1

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4

39c627ad94ccdad37e2eb0f4073705f863de01e3

104

py

Python

src/commands/exit.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

2

2021-08-01T12:59:59.000Z

2021-09-27T05:51:05.000Z

src/commands/exit.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

3

2021-07-25T07:54:19.000Z

2021-08-18T20:35:26.000Z

src/commands/exit.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

null

from helpers.rich import printr def exit_dos(arguments): printr("<blue>Ok, bye! <end>") exit()

17.333333

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104

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null

0

1

0

1

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4

39d84f5ee64770b220f2dc2b1b8f2ac60e59f1c2

149

py

Python

setup.py

KOLANICH/ELFRelocs.py

f4ee4cb7e4819f61d427f9feb76bedbba51007fc

[ "Unlicense" ]

null

setup.py

KOLANICH/ELFRelocs.py

f4ee4cb7e4819f61d427f9feb76bedbba51007fc

[ "Unlicense" ]

null

setup.py

KOLANICH/ELFRelocs.py

f4ee4cb7e4819f61d427f9feb76bedbba51007fc

[ "Unlicense" ]

null

#!/usr/bin/env python3 import os from setuptools import setup from pathlib import Path thisDir = Path(__file__).parent setup(use_scm_version = True)

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0

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39f25ea4eac292f8f4d684c25ea44c5799562a30

57

py

Python

authentek/wsgi.py

eshta/authentek

c81e5e6bd3f0cc68f224fb92b663445f8d1ee4d4

[ "MIT" ]

null

authentek/wsgi.py

eshta/authentek

c81e5e6bd3f0cc68f224fb92b663445f8d1ee4d4

[ "MIT" ]

null

authentek/wsgi.py

eshta/authentek

c81e5e6bd3f0cc68f224fb92b663445f8d1ee4d4

[ "MIT" ]

null

from authentek.app import create_app app = create_app()

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1

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4

8408541783670337922f5f64a8f15b1356f2e348

167

py

Python

seaborn/python_2_to_3/python_2_to_3.py

christensonb/Seaborn

adac2dfe60aabd754f93efd3b109213e5ee58772

[ "MIT" ]

null

seaborn/python_2_to_3/python_2_to_3.py

christensonb/Seaborn

adac2dfe60aabd754f93efd3b109213e5ee58772

[ "MIT" ]

null

seaborn/python_2_to_3/python_2_to_3.py

christensonb/Seaborn

adac2dfe60aabd754f93efd3b109213e5ee58772

[ "MIT" ]

null

import sys if sys.version_info[0] == 3: xrange = range basestring = str unicode = str from io import StringIO else: from StringIO import StringIO

16.7

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167

4.826087

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841bdfda2c2084f22c34c1a8d4f54b5ff7fd1a07

269

py

Python

src/podping_hivewriter/exceptions.py

brianoflondon/podping-hivewriter

0fab946b00ae1c53db72a2f0b48de3f02a771a1d

[ "MIT" ]

11

2021-05-28T15:58:31.000Z

2022-03-21T07:08:58.000Z

src/podping_hivewriter/exceptions.py

brianoflondon/podping-hivewriter

0fab946b00ae1c53db72a2f0b48de3f02a771a1d

[ "MIT" ]

33

2021-06-12T09:23:47.000Z

2022-02-27T06:34:05.000Z

src/podping_hivewriter/exceptions.py

brianoflondon/podping-hivewriter

0fab946b00ae1c53db72a2f0b48de3f02a771a1d

[ "MIT" ]

3

2021-07-30T19:40:04.000Z

2022-01-19T04:14:14.000Z

class PodpingCustomJsonPayloadExceeded(RuntimeError): """Raise when the size of a json string exceeds the custom_json payload limit""" class TooManyCustomJsonsPerBlock(RuntimeError): """Raise when trying to write more than 5 custom_jsons in a single block"""

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1

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84266c693f6d7763f6c9fabd5cc539ad165d9cee

85

py

Python

Chapter02-modifiability/loop2.py

showa-yojyo/Software-Architecture-with-Python

46ba48911065292c9d391f66d7213c01699fca80

[ "MIT" ]

null

Chapter02-modifiability/loop2.py

showa-yojyo/Software-Architecture-with-Python

46ba48911065292c9d391f66d7213c01699fca80

[ "MIT" ]

null

Chapter02-modifiability/loop2.py

showa-yojyo/Software-Architecture-with-Python

46ba48911065292c9d391f66d7213c01699fca80

[ "MIT" ]

null

# Code listing #2 for idx, item in enumerate(seq): print(f'{idx} => {seq[idx]}')

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1

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4

84334ba3ba1467b344b4726bf781daa11cc25e63

62

py

Python

adjutant/actions/v1/__init__.py

CCI-MOC/adjutant

032db3124ea0b0632afdfc27afc60b6c66cf5f66

[ "Apache-2.0" ]

null

adjutant/actions/v1/__init__.py

CCI-MOC/adjutant

032db3124ea0b0632afdfc27afc60b6c66cf5f66

[ "Apache-2.0" ]

null

adjutant/actions/v1/__init__.py

CCI-MOC/adjutant

032db3124ea0b0632afdfc27afc60b6c66cf5f66

[ "Apache-2.0" ]

1

2019-04-18T12:21:59.000Z

default_app_config = 'adjutant.actions.v1.app.ActionV1Config'

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1

null

0

4

8434a087e0ac1859044410b73db19fe157003926

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py

Python

LeetCode/Array/238. Product of Array Except Self.py

ctc316/algorithm-python

ac4580d55e05e93e407c6156c9bb801808027d60

[ "MIT" ]

null

LeetCode/Array/238. Product of Array Except Self.py

ctc316/algorithm-python

ac4580d55e05e93e407c6156c9bb801808027d60

[ "MIT" ]

null

LeetCode/Array/238. Product of Array Except Self.py

ctc316/algorithm-python

ac4580d55e05e93e407c6156c9bb801808027d60

[ "MIT" ]

null

# Version 1: build products of before and after i, Time: O(n), Space: O(n) class Solution: def productExceptSelf(self, nums): """ :type nums: List[int] :rtype: List[int] """ # scan from left to right to find products before i before_i = [i for i in range(len(nums))] prod = 1 for i in range(len(nums)): before_i[i] = prod prod *= nums[i] # scan from left to right to find products after i after_i = [i for i in range(len(nums))] prod = 1 for i in range(len(nums) - 1, -1, -1): after_i[i] = prod prod *= nums[i] return [before_i[i] * after_i[i] for i in range(len(nums))] # Version 2: save extra space, Time: O(n), Space: O(1) class Solution: def productExceptSelf(self, nums): """ :type nums: List[int] :rtype: List[int] """ products = [i for i in range(len(nums))] # scan from left to right to find products before i prod = 1 for i in range(len(nums)): products[i] = prod prod *= nums[i] # scan from left to right to mutiply products after i prod = 1 for i in range(len(nums) - 1, -1, -1): products[i] *= prod prod *= nums[i] return products

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844af689a61388880536344306e40b7bfd1de2ac

302

py

Python

SUSOD/views/__init__.py

whale-net/SUSOD

404cd25e08db10759073475821353eaf4c0a7041

[ "MIT" ]

1

2020-08-06T04:07:42.000Z

SUSOD/views/__init__.py

whale-net/SUSOD

404cd25e08db10759073475821353eaf4c0a7041

[ "MIT" ]

4

2020-05-24T20:30:43.000Z

2021-05-10T04:21:58.000Z

SUSOD/views/__init__.py

whale-net/SUSOD

404cd25e08db10759073475821353eaf4c0a7041

[ "MIT" ]

null

""" Export view for each indvidual page. Usually populates a templated HTML web page with session data. Could also call model functions and populate data. Really the world is your oyster here but this module is intended to serve your view pages. """ from .index import show_index from .user import *

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081dab06f9e770760650cbcd1c2896daea07b19c

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py

Python

DailyProgrammer/DP20140910B.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20140910B.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20140910B.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [9/10/2014] Challenge #179 [Intermediate] Roguelike - The traveller Game https://www.reddit.com/r/dailyprogrammer/comments/2g1c80/9102014_challenge_179_intermediate_roguelike_the/ #Description: So I was fooling around once with an idea to make a fun Rogue like game. If you do not know what a Rogue Like is check out [Wikipedia Article] (http://en.wikipedia.org/wiki/Roguelike) on what it is about. I got this really weak start at just trying to generate a more graphical approach than ASCII text. If you want to see my attempt. Check out my incomplete project [FORGE] (http://coderd00d.com/Forge/index.html) For this challenge you will have to develop a character moving in a rogue like environment. So the design requirements. * 1 Hero character who moves up/down/left/right in a box map. * Map must have boundary elements to contain it -- Walls/Water/Moutains/Whatever you come up with * Hero does not have to be a person. Could be a spaceship/sea creature/whatever - Just has to move up/down/left/right on a 2-D map * Map has to be 20x20. The boundary are some element which prevents passage like a wall, water or blackholes. Whatever fits your theme. * Your hero has 100 movement points. Each time they move up/down/left/right they lose 1 movement points. When they reach 0 movement points the game ends. * Random elements are generated in the room. Gold. Treasure. Plants. Towns. Caves. Whatever. When the hero reaches that point they score a point. You must have 100 random elements. * At the end of the game when your hero is out of movement. The score is based on how many elements you are able to move to. The higher the score the better. * Hero starts either in a fixed room spot or random spot. I leave it to you to decide. #input: Some keyboard/other method for moving a hero up/down/left/right and way to end the game like Q or Esc or whatever. #output: The 20x20 map with the hero updating if you can with moves. Show how much movement points you have and score. At the end of the game show some final score box. Good luck and have fun. #Example: ASCII Map might look like this. (This is not 20x20 but yours will be 20x20) * % = Wall * $ = Random element * @ = the hero A simple dungeon. %%%%%%%%%% %..$.....% %......$.% %...@....% %....$...% %.$......% %%%%%%%%%% Move: 100 Score: 0 #Creative Challenge: This is a creative challenge. You can use ASCII graphics or bmp graphics or more. You can add more elements to this. But regardless have fun trying to make this challenge work for you. """ def main(): pass if __name__ == "__main__": main()

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08207519eb6275cb45f88abc2e0783a8dd7de718

699

py

Python

python/terra_proto/ibc/lightclients/localhost/v1/__init__.py

Vritra4/terra.proto

977264b7c3e0f9d135120d77b48657b82f5eacf6

[ "Apache-2.0" ]

1

2022-02-22T06:18:40.000Z

python/osmosis_proto/ibc/lightclients/localhost/v1/__init__.py

fabio-nukui/osmosis.proto

4780f22681881626b853109971602a6e29a3fb69

[ "Apache-2.0" ]

null

python/osmosis_proto/ibc/lightclients/localhost/v1/__init__.py

fabio-nukui/osmosis.proto

4780f22681881626b853109971602a6e29a3fb69

[ "Apache-2.0" ]

null

# Generated by the protocol buffer compiler. DO NOT EDIT! # sources: ibc/lightclients/localhost/v1/localhost.proto # plugin: python-betterproto from dataclasses import dataclass import betterproto from betterproto.grpc.grpclib_server import ServiceBase @dataclass(eq=False, repr=False) class ClientState(betterproto.Message): """ ClientState defines a loopback (localhost) client. It requires (read-only) access to keys outside the client prefix. """ # self chain ID chain_id: str = betterproto.string_field(1) # self latest block height height: "___core_client_v1__.Height" = betterproto.message_field(2) from ....core.client import v1 as ___core_client_v1__

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1

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084fc1a405d9b0c6014ca9bc8c6abcdab7931b7d

28

py

Python

reservoirpy/_version.py

neuronalX/Funky_Reservoir

ce11aafb02ad36d37232a8a813e70923e0da1cc8

[ "MIT" ]

null

reservoirpy/_version.py

neuronalX/Funky_Reservoir

ce11aafb02ad36d37232a8a813e70923e0da1cc8

[ "MIT" ]

null

reservoirpy/_version.py

neuronalX/Funky_Reservoir

ce11aafb02ad36d37232a8a813e70923e0da1cc8

[ "MIT" ]

null

__version__ = "0.3.2.post1"

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null

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1

0

1

0

null

0

4

f22d9080770e8887e98e9dcd9ebb6f4121dd2d91

547

py

Python

FeiZhai/feizhaipro/apps/news/migrations/0007_auto_20181031_1327.py

FSen0/FeiZhai

5fa635551066a1ba2866b345b39ecf13ef070103

[ "Apache-2.0" ]

null

FeiZhai/feizhaipro/apps/news/migrations/0007_auto_20181031_1327.py

FSen0/FeiZhai

5fa635551066a1ba2866b345b39ecf13ef070103

[ "Apache-2.0" ]

null

FeiZhai/feizhaipro/apps/news/migrations/0007_auto_20181031_1327.py

FSen0/FeiZhai

5fa635551066a1ba2866b345b39ecf13ef070103

[ "Apache-2.0" ]

null

# Generated by Django 2.0.6 on 2018-10-31 05:27 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('news', '0006_auto_20181030_0943'), ] operations = [ migrations.RemoveField( model_name='comment', name='create_time', ), migrations.RemoveField( model_name='comment', name='is_delete', ), migrations.RemoveField( model_name='comment', name='update_time', ), ]

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f265784679b4b5c9584c6c6111fcc1e748f31f45

308

py

Python

Part2/HW_4_1.py

Torkvamedo/smx

a5aef4f430f56ac67100c505902f55e18fba5978

[ "Unlicense" ]

null

Part2/HW_4_1.py

Torkvamedo/smx

a5aef4f430f56ac67100c505902f55e18fba5978

[ "Unlicense" ]

null

Part2/HW_4_1.py

Torkvamedo/smx

a5aef4f430f56ac67100c505902f55e18fba5978

[ "Unlicense" ]

null

class Car: def __init__(self, make, petrol_consumption): self.make = make self.petrol_consumption = petrol_consumption def petrol_calculation(self, price = 22.5): return self.petrol_consumption * price ford = Car("ford", 10) money = ford.petrol_calculation() print(money)

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null

1

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null

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1

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f2875947e8bd5ab76b67ab4ab5bbd62fe1287ec5

15

py

Python

narnia/__init__.py

maisammusthafa/narnia

28a6aedbf44ed4adf5a3f969b7ebaa1664df4811

[ "MIT" ]

null

narnia/__init__.py

maisammusthafa/narnia

28a6aedbf44ed4adf5a3f969b7ebaa1664df4811

[ "MIT" ]

null

narnia/__init__.py

maisammusthafa/narnia

28a6aedbf44ed4adf5a3f969b7ebaa1664df4811

[ "MIT" ]

null

""" narnia """

7.5

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1

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null

0

1

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4

f2ad0cd68f17210ea869c1964a934b61c72b1238

56

py

Python

bin/dns.py

captainshar/pi-setup

901d996f42bfa03431f06498adfc099b3238aba2

[ "MIT" ]

null

bin/dns.py

captainshar/pi-setup

901d996f42bfa03431f06498adfc099b3238aba2

[ "MIT" ]

null

bin/dns.py

captainshar/pi-setup

901d996f42bfa03431f06498adfc099b3238aba2

[ "MIT" ]

null

#!/usr/bin/env python import name name.Daemon().run()

9.333333

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null

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4

4b449f5b1feb559c044b29891ed779f011257a30

23

py

Python

samtranslator/__init__.py

will-driven/serverless-application-model

5e2e61bc459da259cb3f9256ee6fe33ec28d5591

[ "Apache-2.0" ]

1

2022-03-08T07:51:48.000Z

samtranslator/__init__.py

will-driven/serverless-application-model

5e2e61bc459da259cb3f9256ee6fe33ec28d5591

[ "Apache-2.0" ]

null

samtranslator/__init__.py

will-driven/serverless-application-model

5e2e61bc459da259cb3f9256ee6fe33ec28d5591

[ "Apache-2.0" ]

2

2022-03-08T07:11:42.000Z

2022-03-08T07:49:20.000Z

__version__ = "1.34.0"

11.5

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null

0

1

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1

0

null

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4b49b224611040ac6c4b726d7b847e0e81c32d3b

126

py

Python

pyswagger/__init__.py

nzinfo/pyswagger

efde3ae756f0cd5a500f9ba90495e18a53d7df24

[ "MIT" ]

null

pyswagger/__init__.py

nzinfo/pyswagger

efde3ae756f0cd5a500f9ba90495e18a53d7df24

[ "MIT" ]

null

pyswagger/__init__.py

nzinfo/pyswagger

efde3ae756f0cd5a500f9ba90495e18a53d7df24

[ "MIT" ]

1

2020-03-04T00:22:24.000Z

from .getter import Getter from .core import SwaggerApp, SwaggerSecurity # backward compatible SwaggerAuth = SwaggerSecurity

21

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4b891e2897fb75492f037c8bfa7f921a3b0a9e6a

146

py

Python

fabfile/mooc.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

null

fabfile/mooc.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

4

2021-06-08T20:20:08.000Z

2022-03-11T23:30:22.000Z

fabfile/mooc.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

null

from fabric.api import task, local @task def start(): local("fab server.start:server=mooc,mooc") def stop(): local("fab server.stop")

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null

0

1

0

4

4b9942b5caaa249e3c832257facdb774b897c6ce

12,719

py

Python

MLib/Core/layers.py

rvegaml/SIMLR

5d50cd1ccd5f34bf095c499e3be2e739950a0145

[ "MIT" ]

5

2022-01-11T02:35:13.000Z

2022-01-21T10:00:55.000Z

MLib/Core/layers.py

rvegaml/SIMLR

5d50cd1ccd5f34bf095c499e3be2e739950a0145

[ "MIT" ]

null

MLib/Core/layers.py

rvegaml/SIMLR

5d50cd1ccd5f34bf095c499e3be2e739950a0145

[ "MIT" ]

null

import tensorflow as tf import numpy as np from tensorflow.keras import layers from tensorflow.keras import Model import tensorflow.keras.backend as K from tensorflow.keras.initializers import glorot_normal class Identity(layers.Layer): ''' Identity layer. It returns a copy of the input. ''' # According to the TensorFlow documentation, it's a good practice to add this function def __init__(self, **kwargs): super(Identity, self).__init__(**kwargs) # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(Identity, self).get_config() return config def call(self, inputs): return tf.identity(inputs) class LinearRegLayer(layers.Layer): ''' A simple linear layer that penalizes deviations from the initial weights ''' # According to the TensorFlow documentation, it's a good practice to add this function def __init__(self, units=10, rate=.01, init_weights=[], **kwargs): super(LinearRegLayer, self).__init__(**kwargs) self.units = units self.rate = rate self.init_weights = init_weights # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(LinearRegLayer, self).get_config() return config def build(self, input_shape): # Get the number of dimensions of the data num_dim = input_shape[-1] # Build the actual weights self.w = self.add_weight(shape=(num_dim, self.units), initializer='random_normal', trainable=True) self.b = self.add_weight(shape=(self.units,), initializer='random_normal', trainable=True) def call(self, inputs): current_weights = self.weights current_w = current_weights[0] current_b = current_weights[1] init_w = np.array(self.init_weights[0]) init_b = np.array(self.init_weights[1]) diff_w = K.sum(K.square(current_w - init_w)) diff_b = K.sum(K.square(current_b - init_b)) total_diff = diff_w + diff_b self.add_loss(self.rate * total_diff) return tf.matmul(inputs, self.w) + self.b class LinearLayer(layers.Layer): ''' A simple linear layer that penalizes deviations from the initial weights ''' # According to the TensorFlow documentation, it's a good practice to add this function def __init__(self, units=10, **kwargs): super(LinearLayer, self).__init__(**kwargs) self.units = units # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(LinearLayer, self).get_config() return config def build(self, input_shape): # Get the number of dimensions of the data num_dim = input_shape[-1] # Build the actual weights self.w = self.add_weight(shape=(num_dim, self.units), initializer='random_normal', trainable=True) self.b = self.add_weight(shape=(self.units,), initializer='random_normal', trainable=True) def call(self, inputs): return tf.matmul(inputs, self.w) + self.b class ConvLayer(layers.Layer): ''' Layer that computes the 2D convolution and penalizes deviations from weights. ''' def __init__(self, size=[3,3], num_filters=32, gate=tf.nn.relu, stride=[1,1,1,1], padding='SAME', **kwargs): super(ConvLayer, self).__init__(**kwargs) self.size = size self.num_filters = num_filters self.gate = gate self.stride = stride self.padding = padding # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(ConvLayer, self).get_config() return config def build(self, input_shape): # Get the number of dimensions of the data dim_in = input_shape[-1] filter_height = self.size[0] filter_width = self.size[1] # Build the actual weights self.w = self.add_weight(shape=(filter_height, filter_width, dim_in, self.num_filters), initializer=glorot_normal(), trainable=True) self.b = self.add_weight(shape=(self.num_filters,), initializer=glorot_normal(), trainable=True) def call(self, inputs): x = tf.nn.conv2d(inputs, filters=self.w, strides=self.stride, padding=self.padding) x = tf.add(x, self.b) return self.gate(x) class RegConvLayer(layers.Layer): ''' Layer that computes the 2D convolution and penalizes deviations from weights. ''' def __init__(self, size=[3,3], num_filters=32, gate=tf.nn.relu, rate=.01, init_weights=[], stride=[1,1,1,1], padding='SAME', **kwargs): super(RegConvLayer, self).__init__(**kwargs) self.rate = rate self.init_weights = init_weights self.size = size self.num_filters = num_filters self.gate = gate self.stride = stride self.padding = padding # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(RegConvLayer, self).get_config() return config def build(self, input_shape): # Get the number of dimensions of the data dim_in = input_shape[-1] filter_height = self.size[0] filter_width = self.size[1] # Build the actual weights self.w = self.add_weight(shape=(filter_height, filter_width, dim_in, self.num_filters), initializer=glorot_normal(), trainable=True) self.b = self.add_weight(shape=(self.num_filters,), initializer=glorot_normal(), trainable=True) def call(self, inputs): current_weights = self.weights current_w = current_weights[0] current_b = current_weights[1] init_w = np.array(self.init_weights[0]) init_b = np.array(self.init_weights[1]) diff_w = K.sum(K.square(current_w - init_w)) diff_b = K.sum(K.square(current_b - init_b)) total_diff = diff_w + diff_b self.add_loss(self.rate * total_diff) x = tf.nn.conv2d(inputs, self.w, strides=self.stride, padding=self.padding) x = tf.add(x, self.b) return self.gate(x) class RegTransposeConvLayer(layers.Layer): ''' Layer that computes the 2D convolution and penalizes deviations from weights. ''' def __init__(self, size=[3,3], num_filters=32, gate=tf.nn.relu, rate=.01, init_weights=[], stride=[1,1,1,1], padding='SAME', **kwargs): super(RegTransposeConvLayer, self).__init__(**kwargs) self.rate = rate self.init_weights = init_weights self.size = size self.num_filters = num_filters self.gate = gate self.stride = stride self.padding = padding self.output_shape = None # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(RegTransposeConvLayer, self).get_config() return config def build(self, input_shape): # Get the number of dimensions of the data batch = input_shape[0] dim_in = input_shape[-1] filter_height = self.size[0] filter_width = self.size[1] new_height = deconv_output_length(height, filter_height, padding, strides[1]) new_width = deconv_output_length(width, filter_width, padding, strides[2]) self.output_shape = tf.convert_to_tensor([batch, new_height, new_width, self.num_filters]) # Build the actual weights self.w = self.add_weight(shape=(filter_height, filter_width, self.num_filters, dim_in), initializer=glorot_normal(), trainable=True) self.b = self.add_weight(shape=(self.num_filters,), initializer=glorot_normal(), trainable=True) def call(self, inputs): current_weights = self.weights current_w = current_weights[0] current_b = current_weights[1] init_w = np.array(self.init_weights[0]) init_b = np.array(self.init_weights[1]) diff_w = K.sum(K.square(current_w - init_w)) diff_b = K.sum(K.square(current_b - init_b)) total_diff = diff_w + diff_b self.add_loss(self.rate * total_diff) x = tf.nn.conv2d_transpose(inputs, self.w,self.output_shape, strides=self.stride, padding=self.padding) x = tf.add(x, self.b) return self.gate(x) class MyReshape(layers.Layer): def __init__(self, target_shape, **kwargs): super(MyReshape, self).__init__(**kwargs) self.target_shape = target_shape # According to the TensorFlow documentation, it's a good practice to add this function def get_config(self): config = super(MyReshape, self).get_config() return config def call(self, inputs): reshaped = tf.reshape(inputs, self.target_shape) return reshaped # # ----------------------------------------------------------------------------------------- # # The following functions used to work on TensorFlow 1.XX # # Create the custom 3D-Layer # def Convolution_3D(name, label, inputs, kernel_size, channels_in, channels_out, transfer, # strides=[1,1,1], padding='SAME', initializer_W=None, initializer_b=None, reuse=False): # with tf.variable_scope(name, reuse=reuse): # with tf.variable_scope(label, reuse=reuse): # W = tf.get_variable('W', [kernel_size, kernel_size, kernel_size, channels_in, channels_out], # initializer=initializer_W) # b = tf.get_variable('bias', [channels_out], initializer=initializer_b) # # The first and last elemnts of strides should alwasys be 1 # c_strides = [1] + list(strides) + [1] # # Perform the 3D convolution # z_hat = tf.nn.conv3d(inputs, W, strides=c_strides, padding=padding) # # Add the bias # z_hat = tf.nn.bias_add(z_hat, b) # # Apply the transfer function # y_hat = transfer(z_hat) # return W, b, z_hat, y_hat # def Up_Convolution_3D(name, label, inputs, kernel_size, channels_in, channels_out, # strides=[2,2,2], padding='SAME', initializer=None, reuse=False): # with tf.variable_scope(name, reuse=reuse): # with tf.variable_scope(label, reuse=reuse): # W = tf.get_variable('W', [kernel_size, kernel_size, kernel_size, channels_out, channels_in], # initializer=initializer) # # The first and last elemnts of strides should alwasys be 1 # c_strides = [1] + list(strides) + [1] # # Extract the shape of the inputs # inputs_size = tf.shape(inputs) # batch = inputs_size[0] # depth = inputs_size[1] # height = inputs_size[2] # width = inputs_size[3] # in_channels = inputs_size[4] # # Compute the shape after the de-convolution # new_depth = deconv_output_length(depth, kernel_size, padding, strides[0]) # new_height = deconv_output_length(height, kernel_size, padding, strides[1]) # new_width = deconv_output_length(width, kernel_size, padding, strides[2]) # output_shape = tf.convert_to_tensor([batch, new_depth, new_height, new_width, channels_out]) # # Apply the deconvolution # z_hat = tf.nn.conv3d_transpose(inputs, W, output_shape, strides=c_strides, padding=padding) # return W, z_hat # def Fully_Connected(name, label, inputs, dim_in, dim_out, transfer, reuse=False): # with tf.variable_scope(name, reuse=reuse): # with tf.variable_scope(label, reuse=reuse): # W = tf.get_variable('W', [dim_in, dim_out]) # b = tf.get_variable('b', [dim_out]) # z_hat = tf.matmul(inputs, W) + b # y_hat = transfer(z_hat) # return W, b, z_hat, y_hat # def Convolution_2D(name, label, inputs, kernel_size, channels_in, channels_out, transfer, # strides=[1,1], padding='SAME', initializer_W=None, initializer_b=None, reuse=False): # ''' # This layer computes the 2D standard convolution. # Arguments: # name: Name of the network. # label: Name of this particular layer # inputs: A tf.placeholder containing the inputs: [num_images, height, width, channels] # kernel_size: An int specifing the size of the kxk kernel # channels_in: Number of channels of the input # channels_out: Number of filters to create # transfer: Transfer function to use. # strides: The first and the last elements are always 1. The elements in the middle are the # y and x steps. # ''' # with tf.variable_scope(name, reuse=reuse): # with tf.variable_scope(label, reuse=reuse): # W = tf.get_variable('W', [kernel_size, kernel_size, channels_in, channels_out], # initializer=initializer_W) # b = tf.get_variable('bias', [channels_out], initializer=initializer_b) # # The first and last elemnts of strides should alwasys be 1 # c_strides = [1] + list(strides) + [1] # # Compute the convolution # z_hat = tf.nn.conv2d(inputs, W, c_strides, padding) # # Add the bias # z_hat = tf.nn.bias_add(z_hat, b) # # Apply the transfer function # y_hat = transfer(z_hat) # return W, b, z_hat, y_hat def deconv_output_length(input_length, filter_size, padding, stride): """This function was adapted from Keras Determines output length of a transposed convolution given input length. Arguments: input_length: integer. filter_size: integer. padding: one of "same", "valid", "full". stride: integer. Returns: The output length (integer). """ if input_length is None: return None output_length = input_length * stride if padding == 'VALID': output_length = output_length + max(filter_size - stride, 0) return output_length def main(): return -1 if __name__ == '__main__': # Do nothing main()

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0

null

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1

0

1

0

null

0

4

29977842dd61939835f9f326dbb6fb9bf80767cd

179

py

Python

app/input/input.py

pedrolp85/pycli

469d22442de2a854aebc3354cdbf9b8fe342ee16

[ "Apache-2.0" ]

null

app/input/input.py

pedrolp85/pycli

469d22442de2a854aebc3354cdbf9b8fe342ee16

[ "Apache-2.0" ]

null

app/input/input.py

pedrolp85/pycli

469d22442de2a854aebc3354cdbf9b8fe342ee16

[ "Apache-2.0" ]

null

from typing import Iterator from abc import ABCMeta, abstractmethod class Input(metaclass=ABCMeta): @abstractmethod def get_lines(self) -> Iterator[str]: pass

16.272727

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0.328125

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0.206704

179

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0.166667

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0.166667

0.333333

0

0.666667

0

1

0

null

1

0

null

0

1

0

4

29abaf7eb25524394e52798e8d88fb2d0ffd63a7

241

py

Python

sitecontent/urls.py

vjousse/viserlalune

8035546a7886daff190902fa2f258c6aa549dd14

[ "MIT" ]

4

2015-02-02T15:43:46.000Z

2016-05-31T15:51:21.000Z

sitecontent/urls.py

vjousse/viserlalune

8035546a7886daff190902fa2f258c6aa549dd14

[ "MIT" ]

null

sitecontent/urls.py

vjousse/viserlalune

8035546a7886daff190902fa2f258c6aa549dd14

[ "MIT" ]

null

from django.conf.urls import patterns, url from sitecontent import views urlpatterns = patterns('', url("^feeds/(?P<format>.*)$", "sitecontent.views.blog_post_feed_richtext_filters", name="blog_post_feed_richtext_filters"), )

24.1

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0.73444

30

241

5.633333

0.633333

0.130178

0.142012

0.236686

0.319527

0

0.128631

241

9

102

26.777778

0.804762

0

0.423237

0

1

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false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

1

null

0

1

0

4

29b56e410120586366a3354301e36b70aba04e52

70

py

Python

think-python/code/chapter_07.py

baldoinov/think-python-2e-exercises

5a5cd6e94f44e14dc567c35ebf3dd9160cf6b01b

[ "MIT" ]

null

think-python/code/chapter_07.py

baldoinov/think-python-2e-exercises

5a5cd6e94f44e14dc567c35ebf3dd9160cf6b01b

[ "MIT" ]

null

think-python/code/chapter_07.py

baldoinov/think-python-2e-exercises

5a5cd6e94f44e14dc567c35ebf3dd9160cf6b01b

[ "MIT" ]

null

def print_n(s, n): while n >= 0: print(s) n -= 1

11.666667

18

0.385714

12

70

2.166667

0.583333

0.153846

0

0.052632

0.457143

70

5

19

14

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1

0.25

false

0

0.25

0.5

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null

0

1

0

null

0

1

0

1

0

4

29d003c441f38cf77c8e91ad285bd0f62bdc83dd

179

py

Python

Weather/mock_bme280.py

Rubber-Duck-999/HouseGuardServices

0b8f0a91b331ca68f343c4e960d59b84f7182b62

[ "MIT" ]

null

Weather/mock_bme280.py

Rubber-Duck-999/HouseGuardServices

0b8f0a91b331ca68f343c4e960d59b84f7182b62

[ "MIT" ]

3

2021-08-05T07:56:05.000Z

2022-03-22T12:35:44.000Z

Weather/mock_bme280.py

Rubber-Duck-999/HouseGuardServices

0b8f0a91b331ca68f343c4e960d59b84f7182b62

[ "MIT" ]

null

class BME280: '''Class to mock temp sensor''' def __init__(self): '''Constructor for mock''' def get_temperature(self): '''Temp''' return 20.0

22.375

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21

179

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0.761905

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0.296089

179

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null

0

1

0

1

0

4

29d1544f0f1f6824b4d1a90eaf87129cdc8adf26

35

py

Python

test/static_analysis/with_.py

haoqixu/jedi

ea93dbc08eac0a1b8c39e15c554c0b0c4ce65591

[ "MIT" ]

10

2020-07-21T21:59:54.000Z

2021-07-19T11:01:47.000Z

test/static_analysis/with_.py

haoqixu/jedi

ea93dbc08eac0a1b8c39e15c554c0b0c4ce65591

[ "MIT" ]

null

test/static_analysis/with_.py

haoqixu/jedi

ea93dbc08eac0a1b8c39e15c554c0b0c4ce65591

[ "MIT" ]

1

2021-01-30T18:17:01.000Z

with open() as fin: fin.read()

11.666667

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0.571429

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35

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20

17.5

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1

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null

0

1

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4

d9acc773015cf932e5a592be22aca4766dd345d2

48,295

py

Python

sdk/lusid/__init__.py

finbourne/lusid-sdk-python-generated-preview

9c36c953e8149443a4390ed7f0c04d01211401b6

[ "MIT" ]

null

sdk/lusid/__init__.py

finbourne/lusid-sdk-python-generated-preview

9c36c953e8149443a4390ed7f0c04d01211401b6

[ "MIT" ]

null

sdk/lusid/__init__.py

finbourne/lusid-sdk-python-generated-preview

9c36c953e8149443a4390ed7f0c04d01211401b6

[ "MIT" ]

null

# coding: utf-8 # flake8: noqa """ LUSID API FINBOURNE Technology # noqa: E501 The version of the OpenAPI document: 0.11.4425 Contact: info@finbourne.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import __version__ = "0.11.4425" # import apis into sdk package from lusid.api.aggregation_api import AggregationApi from lusid.api.allocations_api import AllocationsApi from lusid.api.application_metadata_api import ApplicationMetadataApi from lusid.api.blocks_api import BlocksApi from lusid.api.calendars_api import CalendarsApi from lusid.api.complex_market_data_api import ComplexMarketDataApi from lusid.api.compliance_api import ComplianceApi from lusid.api.configuration_recipe_api import ConfigurationRecipeApi from lusid.api.conventions_api import ConventionsApi from lusid.api.corporate_action_sources_api import CorporateActionSourcesApi from lusid.api.counterparties_api import CounterpartiesApi from lusid.api.custom_entities_api import CustomEntitiesApi from lusid.api.custom_entity_definitions_api import CustomEntityDefinitionsApi from lusid.api.cut_label_definitions_api import CutLabelDefinitionsApi from lusid.api.data_types_api import DataTypesApi from lusid.api.derived_transaction_portfolios_api import DerivedTransactionPortfoliosApi from lusid.api.entities_api import EntitiesApi from lusid.api.executions_api import ExecutionsApi from lusid.api.fees_and_commissions_api import FeesAndCommissionsApi from lusid.api.instruments_api import InstrumentsApi from lusid.api.legal_entities_api import LegalEntitiesApi from lusid.api.order_graph_api import OrderGraphApi from lusid.api.order_instructions_api import OrderInstructionsApi from lusid.api.orders_api import OrdersApi from lusid.api.packages_api import PackagesApi from lusid.api.participations_api import ParticipationsApi from lusid.api.persons_api import PersonsApi from lusid.api.placements_api import PlacementsApi from lusid.api.portfolio_groups_api import PortfolioGroupsApi from lusid.api.portfolios_api import PortfoliosApi from lusid.api.property_definitions_api import PropertyDefinitionsApi from lusid.api.quotes_api import QuotesApi from lusid.api.reconciliations_api import ReconciliationsApi from lusid.api.reference_portfolio_api import ReferencePortfolioApi from lusid.api.relation_definitions_api import RelationDefinitionsApi from lusid.api.relations_api import RelationsApi from lusid.api.relationship_definitions_api import RelationshipDefinitionsApi from lusid.api.relationships_api import RelationshipsApi from lusid.api.schemas_api import SchemasApi from lusid.api.scopes_api import ScopesApi from lusid.api.search_api import SearchApi from lusid.api.sequences_api import SequencesApi from lusid.api.structured_result_data_api import StructuredResultDataApi from lusid.api.system_configuration_api import SystemConfigurationApi from lusid.api.transaction_configuration_api import TransactionConfigurationApi from lusid.api.transaction_fees_api import TransactionFeesApi from lusid.api.transaction_portfolios_api import TransactionPortfoliosApi from lusid.api.translation_api import TranslationApi # import ApiClient from lusid.api_client import ApiClient from lusid.configuration import Configuration from lusid.exceptions import OpenApiException from lusid.exceptions import ApiTypeError from lusid.exceptions import ApiValueError from lusid.exceptions import ApiKeyError from lusid.exceptions import ApiException # import models into sdk package from lusid.models.a2_b_breakdown import A2BBreakdown from lusid.models.a2_b_category import A2BCategory from lusid.models.a2_b_data_record import A2BDataRecord from lusid.models.a2_b_movement_record import A2BMovementRecord from lusid.models.access_controlled_action import AccessControlledAction from lusid.models.access_controlled_resource import AccessControlledResource from lusid.models.access_metadata_value import AccessMetadataValue from lusid.models.accounting_method import AccountingMethod from lusid.models.action_id import ActionId from lusid.models.action_result_of_portfolio import ActionResultOfPortfolio from lusid.models.add_business_days_to_date_request import AddBusinessDaysToDateRequest from lusid.models.add_business_days_to_date_response import AddBusinessDaysToDateResponse from lusid.models.adjust_holding import AdjustHolding from lusid.models.adjust_holding_request import AdjustHoldingRequest from lusid.models.aggregate_spec import AggregateSpec from lusid.models.aggregated_return import AggregatedReturn from lusid.models.aggregated_returns_request import AggregatedReturnsRequest from lusid.models.aggregated_returns_response import AggregatedReturnsResponse from lusid.models.aggregation_context import AggregationContext from lusid.models.aggregation_measure_failure_detail import AggregationMeasureFailureDetail from lusid.models.aggregation_op import AggregationOp from lusid.models.aggregation_options import AggregationOptions from lusid.models.aggregation_query import AggregationQuery from lusid.models.aggregation_type import AggregationType from lusid.models.allocation import Allocation from lusid.models.allocation_request import AllocationRequest from lusid.models.allocation_set_request import AllocationSetRequest from lusid.models.annul_quotes_response import AnnulQuotesResponse from lusid.models.annul_single_structured_data_response import AnnulSingleStructuredDataResponse from lusid.models.annul_structured_data_response import AnnulStructuredDataResponse from lusid.models.asset_class import AssetClass from lusid.models.basket import Basket from lusid.models.basket_all_of import BasketAllOf from lusid.models.basket_identifier import BasketIdentifier from lusid.models.block import Block from lusid.models.block_request import BlockRequest from lusid.models.block_set_request import BlockSetRequest from lusid.models.bond import Bond from lusid.models.bond_all_of import BondAllOf from lusid.models.bucketed_cash_flow_request import BucketedCashFlowRequest from lusid.models.bucketed_cash_flow_response import BucketedCashFlowResponse from lusid.models.calculation_info import CalculationInfo from lusid.models.calendar import Calendar from lusid.models.calendar_date import CalendarDate from lusid.models.cap_floor import CapFloor from lusid.models.cap_floor_all_of import CapFloorAllOf from lusid.models.cash_flow_lineage import CashFlowLineage from lusid.models.cash_flow_value import CashFlowValue from lusid.models.cash_flow_value_all_of import CashFlowValueAllOf from lusid.models.cash_flow_value_set import CashFlowValueSet from lusid.models.cash_flow_value_set_all_of import CashFlowValueSetAllOf from lusid.models.cash_ladder_record import CashLadderRecord from lusid.models.cash_perpetual import CashPerpetual from lusid.models.cash_perpetual_all_of import CashPerpetualAllOf from lusid.models.cds_flow_conventions import CdsFlowConventions from lusid.models.cds_index import CdsIndex from lusid.models.cds_index_all_of import CdsIndexAllOf from lusid.models.cds_protection_detail_specification import CdsProtectionDetailSpecification from lusid.models.change import Change from lusid.models.complete_portfolio import CompletePortfolio from lusid.models.complete_relation import CompleteRelation from lusid.models.complete_relationship import CompleteRelationship from lusid.models.complex_bond import ComplexBond from lusid.models.complex_bond_all_of import ComplexBondAllOf from lusid.models.complex_market_data import ComplexMarketData from lusid.models.complex_market_data_id import ComplexMarketDataId from lusid.models.compliance_rule import ComplianceRule from lusid.models.compliance_rule_result import ComplianceRuleResult from lusid.models.compliance_rule_upsert_request import ComplianceRuleUpsertRequest from lusid.models.compliance_rule_upsert_response import ComplianceRuleUpsertResponse from lusid.models.compliance_run import ComplianceRun from lusid.models.compounding import Compounding from lusid.models.configuration_recipe import ConfigurationRecipe from lusid.models.configuration_recipe_snippet import ConfigurationRecipeSnippet from lusid.models.constituents_adjustment_header import ConstituentsAdjustmentHeader from lusid.models.contract_for_difference import ContractForDifference from lusid.models.contract_for_difference_all_of import ContractForDifferenceAllOf from lusid.models.corporate_action import CorporateAction from lusid.models.corporate_action_source import CorporateActionSource from lusid.models.corporate_action_transition import CorporateActionTransition from lusid.models.corporate_action_transition_component import CorporateActionTransitionComponent from lusid.models.corporate_action_transition_component_request import CorporateActionTransitionComponentRequest from lusid.models.corporate_action_transition_request import CorporateActionTransitionRequest from lusid.models.counterparty_agreement import CounterpartyAgreement from lusid.models.counterparty_risk_information import CounterpartyRiskInformation from lusid.models.counterparty_signatory import CounterpartySignatory from lusid.models.create_calendar_request import CreateCalendarRequest from lusid.models.create_corporate_action_source_request import CreateCorporateActionSourceRequest from lusid.models.create_cut_label_definition_request import CreateCutLabelDefinitionRequest from lusid.models.create_data_map_request import CreateDataMapRequest from lusid.models.create_data_type_request import CreateDataTypeRequest from lusid.models.create_date_request import CreateDateRequest from lusid.models.create_derived_property_definition_request import CreateDerivedPropertyDefinitionRequest from lusid.models.create_derived_transaction_portfolio_request import CreateDerivedTransactionPortfolioRequest from lusid.models.create_portfolio_details import CreatePortfolioDetails from lusid.models.create_portfolio_group_request import CreatePortfolioGroupRequest from lusid.models.create_property_definition_request import CreatePropertyDefinitionRequest from lusid.models.create_recipe_request import CreateRecipeRequest from lusid.models.create_reference_portfolio_request import CreateReferencePortfolioRequest from lusid.models.create_relation_definition_request import CreateRelationDefinitionRequest from lusid.models.create_relation_request import CreateRelationRequest from lusid.models.create_relationship_definition_request import CreateRelationshipDefinitionRequest from lusid.models.create_relationship_request import CreateRelationshipRequest from lusid.models.create_sequence_request import CreateSequenceRequest from lusid.models.create_transaction_portfolio_request import CreateTransactionPortfolioRequest from lusid.models.create_unit_definition import CreateUnitDefinition from lusid.models.credit_default_swap import CreditDefaultSwap from lusid.models.credit_default_swap_all_of import CreditDefaultSwapAllOf from lusid.models.credit_rating import CreditRating from lusid.models.credit_spread_curve_data import CreditSpreadCurveData from lusid.models.credit_spread_curve_data_all_of import CreditSpreadCurveDataAllOf from lusid.models.credit_support_annex import CreditSupportAnnex from lusid.models.currency_and_amount import CurrencyAndAmount from lusid.models.custom_entity_definition import CustomEntityDefinition from lusid.models.custom_entity_definition_request import CustomEntityDefinitionRequest from lusid.models.custom_entity_field import CustomEntityField from lusid.models.custom_entity_field_definition import CustomEntityFieldDefinition from lusid.models.custom_entity_id import CustomEntityId from lusid.models.custom_entity_request import CustomEntityRequest from lusid.models.custom_entity_response import CustomEntityResponse from lusid.models.cut_label_definition import CutLabelDefinition from lusid.models.cut_local_time import CutLocalTime from lusid.models.data_definition import DataDefinition from lusid.models.data_map_key import DataMapKey from lusid.models.data_mapping import DataMapping from lusid.models.data_type import DataType from lusid.models.data_type_summary import DataTypeSummary from lusid.models.data_type_value_range import DataTypeValueRange from lusid.models.date_attributes import DateAttributes from lusid.models.date_range import DateRange from lusid.models.date_time_comparison_type import DateTimeComparisonType from lusid.models.day_of_week import DayOfWeek from lusid.models.delete_instrument_properties_response import DeleteInstrumentPropertiesResponse from lusid.models.delete_instrument_response import DeleteInstrumentResponse from lusid.models.delete_relation_request import DeleteRelationRequest from lusid.models.delete_relationship_request import DeleteRelationshipRequest from lusid.models.deleted_entity_response import DeletedEntityResponse from lusid.models.dependency_source_filter import DependencySourceFilter from lusid.models.discount_factor_curve_data import DiscountFactorCurveData from lusid.models.discount_factor_curve_data_all_of import DiscountFactorCurveDataAllOf from lusid.models.discounting_method import DiscountingMethod from lusid.models.empty_model_options import EmptyModelOptions from lusid.models.empty_model_options_all_of import EmptyModelOptionsAllOf from lusid.models.entity_identifier import EntityIdentifier from lusid.models.equity import Equity from lusid.models.equity_all_of import EquityAllOf from lusid.models.equity_all_of_identifiers import EquityAllOfIdentifiers from lusid.models.equity_option import EquityOption from lusid.models.equity_option_all_of import EquityOptionAllOf from lusid.models.equity_swap import EquitySwap from lusid.models.equity_swap_all_of import EquitySwapAllOf from lusid.models.equity_vol_surface_data import EquityVolSurfaceData from lusid.models.equity_vol_surface_data_all_of import EquityVolSurfaceDataAllOf from lusid.models.error_detail import ErrorDetail from lusid.models.exchange_traded_option import ExchangeTradedOption from lusid.models.exchange_traded_option_all_of import ExchangeTradedOptionAllOf from lusid.models.exchange_traded_option_contract_details import ExchangeTradedOptionContractDetails from lusid.models.execution import Execution from lusid.models.execution_request import ExecutionRequest from lusid.models.execution_set_request import ExecutionSetRequest from lusid.models.exotic_instrument import ExoticInstrument from lusid.models.exotic_instrument_all_of import ExoticInstrumentAllOf from lusid.models.expanded_group import ExpandedGroup from lusid.models.fee_calculation_details import FeeCalculationDetails from lusid.models.fee_rule import FeeRule from lusid.models.fee_rule_upsert_request import FeeRuleUpsertRequest from lusid.models.fee_rule_upsert_response import FeeRuleUpsertResponse from lusid.models.field_definition import FieldDefinition from lusid.models.field_schema import FieldSchema from lusid.models.field_value import FieldValue from lusid.models.file_response import FileResponse from lusid.models.fixed_leg import FixedLeg from lusid.models.fixed_leg_all_of import FixedLegAllOf from lusid.models.fixed_leg_all_of_overrides import FixedLegAllOfOverrides from lusid.models.fixed_schedule import FixedSchedule from lusid.models.fixed_schedule_all_of import FixedScheduleAllOf from lusid.models.float_schedule import FloatSchedule from lusid.models.float_schedule_all_of import FloatScheduleAllOf from lusid.models.floating_leg import FloatingLeg from lusid.models.floating_leg_all_of import FloatingLegAllOf from lusid.models.flow_convention_name import FlowConventionName from lusid.models.flow_conventions import FlowConventions from lusid.models.forward_rate_agreement import ForwardRateAgreement from lusid.models.forward_rate_agreement_all_of import ForwardRateAgreementAllOf from lusid.models.funding_leg import FundingLeg from lusid.models.funding_leg_all_of import FundingLegAllOf from lusid.models.funding_leg_options import FundingLegOptions from lusid.models.funding_leg_options_all_of import FundingLegOptionsAllOf from lusid.models.future import Future from lusid.models.future_all_of import FutureAllOf from lusid.models.futures_contract_details import FuturesContractDetails from lusid.models.fx_forward import FxForward from lusid.models.fx_forward_all_of import FxForwardAllOf from lusid.models.fx_forward_curve_by_quote_reference import FxForwardCurveByQuoteReference from lusid.models.fx_forward_curve_by_quote_reference_all_of import FxForwardCurveByQuoteReferenceAllOf from lusid.models.fx_forward_curve_data import FxForwardCurveData from lusid.models.fx_forward_curve_data_all_of import FxForwardCurveDataAllOf from lusid.models.fx_forward_model_options import FxForwardModelOptions from lusid.models.fx_forward_model_options_all_of import FxForwardModelOptionsAllOf from lusid.models.fx_forward_pips_curve_data import FxForwardPipsCurveData from lusid.models.fx_forward_pips_curve_data_all_of import FxForwardPipsCurveDataAllOf from lusid.models.fx_forward_tenor_curve_data import FxForwardTenorCurveData from lusid.models.fx_forward_tenor_curve_data_all_of import FxForwardTenorCurveDataAllOf from lusid.models.fx_forward_tenor_pips_curve_data import FxForwardTenorPipsCurveData from lusid.models.fx_forward_tenor_pips_curve_data_all_of import FxForwardTenorPipsCurveDataAllOf from lusid.models.fx_option import FxOption from lusid.models.fx_option_all_of import FxOptionAllOf from lusid.models.fx_swap import FxSwap from lusid.models.fx_swap_all_of import FxSwapAllOf from lusid.models.fx_vol_surface_data import FxVolSurfaceData from lusid.models.get_cds_flow_conventions_response import GetCdsFlowConventionsResponse from lusid.models.get_complex_market_data_response import GetComplexMarketDataResponse from lusid.models.get_counterparty_agreement_response import GetCounterpartyAgreementResponse from lusid.models.get_credit_support_annex_response import GetCreditSupportAnnexResponse from lusid.models.get_data_map_response import GetDataMapResponse from lusid.models.get_flow_conventions_response import GetFlowConventionsResponse from lusid.models.get_index_convention_response import GetIndexConventionResponse from lusid.models.get_instruments_response import GetInstrumentsResponse from lusid.models.get_quotes_response import GetQuotesResponse from lusid.models.get_recipe_response import GetRecipeResponse from lusid.models.get_reference_portfolio_constituents_response import GetReferencePortfolioConstituentsResponse from lusid.models.get_structured_result_data_response import GetStructuredResultDataResponse from lusid.models.get_virtual_document_response import GetVirtualDocumentResponse from lusid.models.grouped_result_of_address_key import GroupedResultOfAddressKey from lusid.models.holding_adjustment import HoldingAdjustment from lusid.models.holding_context import HoldingContext from lusid.models.holdings_adjustment import HoldingsAdjustment from lusid.models.holdings_adjustment_header import HoldingsAdjustmentHeader from lusid.models.i_unit_definition_dto import IUnitDefinitionDto from lusid.models.id_selector_definition import IdSelectorDefinition from lusid.models.identifier_part_schema import IdentifierPartSchema from lusid.models.index_convention import IndexConvention from lusid.models.index_model_options import IndexModelOptions from lusid.models.index_model_options_all_of import IndexModelOptionsAllOf from lusid.models.industry_classifier import IndustryClassifier from lusid.models.inline_valuation_request import InlineValuationRequest from lusid.models.inline_valuations_reconciliation_request import InlineValuationsReconciliationRequest from lusid.models.instrument import Instrument from lusid.models.instrument_cash_flow import InstrumentCashFlow from lusid.models.instrument_definition import InstrumentDefinition from lusid.models.instrument_definition_format import InstrumentDefinitionFormat from lusid.models.instrument_id_type_descriptor import InstrumentIdTypeDescriptor from lusid.models.instrument_id_value import InstrumentIdValue from lusid.models.instrument_leg import InstrumentLeg from lusid.models.instrument_leg_all_of import InstrumentLegAllOf from lusid.models.instrument_match import InstrumentMatch from lusid.models.instrument_payment_diary import InstrumentPaymentDiary from lusid.models.instrument_payment_diary_leg import InstrumentPaymentDiaryLeg from lusid.models.instrument_payment_diary_row import InstrumentPaymentDiaryRow from lusid.models.instrument_properties import InstrumentProperties from lusid.models.instrument_search_property import InstrumentSearchProperty from lusid.models.instrument_type import InstrumentType from lusid.models.interest_rate_swap import InterestRateSwap from lusid.models.interest_rate_swap_all_of import InterestRateSwapAllOf from lusid.models.interest_rate_swaption import InterestRateSwaption from lusid.models.interest_rate_swaption_all_of import InterestRateSwaptionAllOf from lusid.models.ir_vol_cube_data import IrVolCubeData from lusid.models.ir_vol_cube_data_all_of import IrVolCubeDataAllOf from lusid.models.is_business_day_response import IsBusinessDayResponse from lusid.models.label_value_set import LabelValueSet from lusid.models.leg_definition import LegDefinition from lusid.models.legal_entity import LegalEntity from lusid.models.level_step import LevelStep from lusid.models.link import Link from lusid.models.list_aggregation_reconciliation import ListAggregationReconciliation from lusid.models.list_aggregation_response import ListAggregationResponse from lusid.models.list_complex_market_data_with_meta_data_response import ListComplexMarketDataWithMetaDataResponse from lusid.models.lusid_instrument import LusidInstrument from lusid.models.lusid_problem_details import LusidProblemDetails from lusid.models.lusid_unique_id import LusidUniqueId from lusid.models.lusid_validation_problem_details import LusidValidationProblemDetails from lusid.models.market_context import MarketContext from lusid.models.market_context_suppliers import MarketContextSuppliers from lusid.models.market_data_key_rule import MarketDataKeyRule from lusid.models.market_data_specific_rule import MarketDataSpecificRule from lusid.models.market_data_type import MarketDataType from lusid.models.market_observable_type import MarketObservableType from lusid.models.market_options import MarketOptions from lusid.models.market_quote import MarketQuote from lusid.models.metric_value import MetricValue from lusid.models.model_options import ModelOptions from lusid.models.model_options_type import ModelOptionsType from lusid.models.model_property import ModelProperty from lusid.models.model_selection import ModelSelection from lusid.models.movement_type import MovementType from lusid.models.next_value_in_sequence_response import NextValueInSequenceResponse from lusid.models.numeric_comparison_type import NumericComparisonType from lusid.models.opaque_market_data import OpaqueMarketData from lusid.models.opaque_market_data_all_of import OpaqueMarketDataAllOf from lusid.models.opaque_model_options import OpaqueModelOptions from lusid.models.opaque_model_options_all_of import OpaqueModelOptionsAllOf from lusid.models.operand_type import OperandType from lusid.models.operation import Operation from lusid.models.operator import Operator from lusid.models.order import Order from lusid.models.order_by_spec import OrderBySpec from lusid.models.order_graph_block import OrderGraphBlock from lusid.models.order_graph_block_allocation_detail import OrderGraphBlockAllocationDetail from lusid.models.order_graph_block_allocation_synopsis import OrderGraphBlockAllocationSynopsis from lusid.models.order_graph_block_execution_detail import OrderGraphBlockExecutionDetail from lusid.models.order_graph_block_execution_synopsis import OrderGraphBlockExecutionSynopsis from lusid.models.order_graph_block_order_detail import OrderGraphBlockOrderDetail from lusid.models.order_graph_block_order_synopsis import OrderGraphBlockOrderSynopsis from lusid.models.order_graph_block_placement_detail import OrderGraphBlockPlacementDetail from lusid.models.order_graph_block_placement_synopsis import OrderGraphBlockPlacementSynopsis from lusid.models.order_graph_placement import OrderGraphPlacement from lusid.models.order_graph_placement_allocation_detail import OrderGraphPlacementAllocationDetail from lusid.models.order_graph_placement_allocation_synopsis import OrderGraphPlacementAllocationSynopsis from lusid.models.order_graph_placement_execution_detail import OrderGraphPlacementExecutionDetail from lusid.models.order_graph_placement_execution_synopsis import OrderGraphPlacementExecutionSynopsis from lusid.models.order_graph_placement_order_detail import OrderGraphPlacementOrderDetail from lusid.models.order_graph_placement_order_synopsis import OrderGraphPlacementOrderSynopsis from lusid.models.order_graph_placement_placement_synopsis import OrderGraphPlacementPlacementSynopsis from lusid.models.order_instruction import OrderInstruction from lusid.models.order_instruction_request import OrderInstructionRequest from lusid.models.order_instruction_set_request import OrderInstructionSetRequest from lusid.models.order_request import OrderRequest from lusid.models.order_set_request import OrderSetRequest from lusid.models.otc_confirmation import OtcConfirmation from lusid.models.output_transaction import OutputTransaction from lusid.models.package import Package from lusid.models.package_request import PackageRequest from lusid.models.package_set_request import PackageSetRequest from lusid.models.paged_resource_list_of_allocation import PagedResourceListOfAllocation from lusid.models.paged_resource_list_of_block import PagedResourceListOfBlock from lusid.models.paged_resource_list_of_calendar import PagedResourceListOfCalendar from lusid.models.paged_resource_list_of_corporate_action_source import PagedResourceListOfCorporateActionSource from lusid.models.paged_resource_list_of_custom_entity_definition import PagedResourceListOfCustomEntityDefinition from lusid.models.paged_resource_list_of_custom_entity_response import PagedResourceListOfCustomEntityResponse from lusid.models.paged_resource_list_of_cut_label_definition import PagedResourceListOfCutLabelDefinition from lusid.models.paged_resource_list_of_data_type_summary import PagedResourceListOfDataTypeSummary from lusid.models.paged_resource_list_of_execution import PagedResourceListOfExecution from lusid.models.paged_resource_list_of_instrument import PagedResourceListOfInstrument from lusid.models.paged_resource_list_of_legal_entity import PagedResourceListOfLegalEntity from lusid.models.paged_resource_list_of_order import PagedResourceListOfOrder from lusid.models.paged_resource_list_of_order_graph_block import PagedResourceListOfOrderGraphBlock from lusid.models.paged_resource_list_of_order_graph_placement import PagedResourceListOfOrderGraphPlacement from lusid.models.paged_resource_list_of_order_instruction import PagedResourceListOfOrderInstruction from lusid.models.paged_resource_list_of_package import PagedResourceListOfPackage from lusid.models.paged_resource_list_of_participation import PagedResourceListOfParticipation from lusid.models.paged_resource_list_of_person import PagedResourceListOfPerson from lusid.models.paged_resource_list_of_placement import PagedResourceListOfPlacement from lusid.models.paged_resource_list_of_portfolio_group_search_result import PagedResourceListOfPortfolioGroupSearchResult from lusid.models.paged_resource_list_of_portfolio_search_result import PagedResourceListOfPortfolioSearchResult from lusid.models.paged_resource_list_of_property_definition_search_result import PagedResourceListOfPropertyDefinitionSearchResult from lusid.models.paged_resource_list_of_relationship_definition import PagedResourceListOfRelationshipDefinition from lusid.models.paged_resource_list_of_sequence_definition import PagedResourceListOfSequenceDefinition from lusid.models.participation import Participation from lusid.models.participation_request import ParticipationRequest from lusid.models.participation_set_request import ParticipationSetRequest from lusid.models.performance_return import PerformanceReturn from lusid.models.performance_returns_metric import PerformanceReturnsMetric from lusid.models.period_type import PeriodType from lusid.models.perpetual_entity_state import PerpetualEntityState from lusid.models.perpetual_property import PerpetualProperty from lusid.models.person import Person from lusid.models.placement import Placement from lusid.models.placement_request import PlacementRequest from lusid.models.placement_set_request import PlacementSetRequest from lusid.models.portfolio import Portfolio from lusid.models.portfolio_cash_flow import PortfolioCashFlow from lusid.models.portfolio_cash_ladder import PortfolioCashLadder from lusid.models.portfolio_details import PortfolioDetails from lusid.models.portfolio_entity_id import PortfolioEntityId from lusid.models.portfolio_group import PortfolioGroup from lusid.models.portfolio_group_properties import PortfolioGroupProperties from lusid.models.portfolio_group_search_result import PortfolioGroupSearchResult from lusid.models.portfolio_holding import PortfolioHolding from lusid.models.portfolio_properties import PortfolioProperties from lusid.models.portfolio_reconciliation_request import PortfolioReconciliationRequest from lusid.models.portfolio_result_data_key_rule import PortfolioResultDataKeyRule from lusid.models.portfolio_result_data_key_rule_all_of import PortfolioResultDataKeyRuleAllOf from lusid.models.portfolio_search_result import PortfolioSearchResult from lusid.models.portfolio_type import PortfolioType from lusid.models.portfolios_reconciliation_request import PortfoliosReconciliationRequest from lusid.models.portfolios_reconciliation_request_preview import PortfoliosReconciliationRequestPreview from lusid.models.premium import Premium from lusid.models.pricing_context import PricingContext from lusid.models.pricing_model import PricingModel from lusid.models.pricing_options import PricingOptions from lusid.models.processed_command import ProcessedCommand from lusid.models.property_definition import PropertyDefinition from lusid.models.property_definition_search_result import PropertyDefinitionSearchResult from lusid.models.property_definition_type import PropertyDefinitionType from lusid.models.property_domain import PropertyDomain from lusid.models.property_filter import PropertyFilter from lusid.models.property_interval import PropertyInterval from lusid.models.property_life_time import PropertyLifeTime from lusid.models.property_schema import PropertySchema from lusid.models.property_type import PropertyType from lusid.models.property_value import PropertyValue from lusid.models.quote import Quote from lusid.models.quote_access_metadata_rule import QuoteAccessMetadataRule from lusid.models.quote_access_metadata_rule_id import QuoteAccessMetadataRuleId from lusid.models.quote_id import QuoteId from lusid.models.quote_instrument_id_type import QuoteInstrumentIdType from lusid.models.quote_series_id import QuoteSeriesId from lusid.models.quote_type import QuoteType from lusid.models.realised_gain_loss import RealisedGainLoss from lusid.models.reconcile_date_time_rule import ReconcileDateTimeRule from lusid.models.reconcile_date_time_rule_all_of import ReconcileDateTimeRuleAllOf from lusid.models.reconcile_numeric_rule import ReconcileNumericRule from lusid.models.reconcile_numeric_rule_all_of import ReconcileNumericRuleAllOf from lusid.models.reconcile_string_rule import ReconcileStringRule from lusid.models.reconcile_string_rule_all_of import ReconcileStringRuleAllOf from lusid.models.reconciliation_break import ReconciliationBreak from lusid.models.reconciliation_left_right_address_key_pair import ReconciliationLeftRightAddressKeyPair from lusid.models.reconciliation_line import ReconciliationLine from lusid.models.reconciliation_request import ReconciliationRequest from lusid.models.reconciliation_response import ReconciliationResponse from lusid.models.reconciliation_rule import ReconciliationRule from lusid.models.reconciliation_rule_type import ReconciliationRuleType from lusid.models.reference_data import ReferenceData from lusid.models.reference_instrument import ReferenceInstrument from lusid.models.reference_instrument_all_of import ReferenceInstrumentAllOf from lusid.models.reference_portfolio_constituent import ReferencePortfolioConstituent from lusid.models.reference_portfolio_constituent_request import ReferencePortfolioConstituentRequest from lusid.models.reference_portfolio_weight_type import ReferencePortfolioWeightType from lusid.models.related_entity import RelatedEntity from lusid.models.relation import Relation from lusid.models.relation_definition import RelationDefinition from lusid.models.relationship import Relationship from lusid.models.relationship_definition import RelationshipDefinition from lusid.models.repo import Repo from lusid.models.repo_all_of import RepoAllOf from lusid.models.resource_id import ResourceId from lusid.models.resource_list_of_access_controlled_resource import ResourceListOfAccessControlledResource from lusid.models.resource_list_of_access_metadata_value_of import ResourceListOfAccessMetadataValueOf from lusid.models.resource_list_of_aggregated_return import ResourceListOfAggregatedReturn from lusid.models.resource_list_of_aggregation_query import ResourceListOfAggregationQuery from lusid.models.resource_list_of_allocation import ResourceListOfAllocation from lusid.models.resource_list_of_block import ResourceListOfBlock from lusid.models.resource_list_of_calendar_date import ResourceListOfCalendarDate from lusid.models.resource_list_of_change import ResourceListOfChange from lusid.models.resource_list_of_compliance_rule import ResourceListOfComplianceRule from lusid.models.resource_list_of_compliance_rule_result import ResourceListOfComplianceRuleResult from lusid.models.resource_list_of_compliance_run import ResourceListOfComplianceRun from lusid.models.resource_list_of_constituents_adjustment_header import ResourceListOfConstituentsAdjustmentHeader from lusid.models.resource_list_of_corporate_action import ResourceListOfCorporateAction from lusid.models.resource_list_of_data_type import ResourceListOfDataType from lusid.models.resource_list_of_execution import ResourceListOfExecution from lusid.models.resource_list_of_fee_calculation_details import ResourceListOfFeeCalculationDetails from lusid.models.resource_list_of_fee_rule import ResourceListOfFeeRule from lusid.models.resource_list_of_get_cds_flow_conventions_response import ResourceListOfGetCdsFlowConventionsResponse from lusid.models.resource_list_of_get_counterparty_agreement_response import ResourceListOfGetCounterpartyAgreementResponse from lusid.models.resource_list_of_get_credit_support_annex_response import ResourceListOfGetCreditSupportAnnexResponse from lusid.models.resource_list_of_get_flow_conventions_response import ResourceListOfGetFlowConventionsResponse from lusid.models.resource_list_of_get_index_convention_response import ResourceListOfGetIndexConventionResponse from lusid.models.resource_list_of_get_recipe_response import ResourceListOfGetRecipeResponse from lusid.models.resource_list_of_holdings_adjustment_header import ResourceListOfHoldingsAdjustmentHeader from lusid.models.resource_list_of_i_unit_definition_dto import ResourceListOfIUnitDefinitionDto from lusid.models.resource_list_of_instrument_cash_flow import ResourceListOfInstrumentCashFlow from lusid.models.resource_list_of_instrument_id_type_descriptor import ResourceListOfInstrumentIdTypeDescriptor from lusid.models.resource_list_of_legal_entity import ResourceListOfLegalEntity from lusid.models.resource_list_of_list_complex_market_data_with_meta_data_response import ResourceListOfListComplexMarketDataWithMetaDataResponse from lusid.models.resource_list_of_order import ResourceListOfOrder from lusid.models.resource_list_of_order_instruction import ResourceListOfOrderInstruction from lusid.models.resource_list_of_package import ResourceListOfPackage from lusid.models.resource_list_of_participation import ResourceListOfParticipation from lusid.models.resource_list_of_performance_return import ResourceListOfPerformanceReturn from lusid.models.resource_list_of_person import ResourceListOfPerson from lusid.models.resource_list_of_placement import ResourceListOfPlacement from lusid.models.resource_list_of_portfolio import ResourceListOfPortfolio from lusid.models.resource_list_of_portfolio_cash_flow import ResourceListOfPortfolioCashFlow from lusid.models.resource_list_of_portfolio_cash_ladder import ResourceListOfPortfolioCashLadder from lusid.models.resource_list_of_portfolio_group import ResourceListOfPortfolioGroup from lusid.models.resource_list_of_processed_command import ResourceListOfProcessedCommand from lusid.models.resource_list_of_property import ResourceListOfProperty from lusid.models.resource_list_of_property_definition import ResourceListOfPropertyDefinition from lusid.models.resource_list_of_property_interval import ResourceListOfPropertyInterval from lusid.models.resource_list_of_quote import ResourceListOfQuote from lusid.models.resource_list_of_quote_access_metadata_rule import ResourceListOfQuoteAccessMetadataRule from lusid.models.resource_list_of_reconciliation_break import ResourceListOfReconciliationBreak from lusid.models.resource_list_of_relation import ResourceListOfRelation from lusid.models.resource_list_of_relationship import ResourceListOfRelationship from lusid.models.resource_list_of_scope_definition import ResourceListOfScopeDefinition from lusid.models.resource_list_of_string import ResourceListOfString from lusid.models.resource_list_of_transaction import ResourceListOfTransaction from lusid.models.resource_list_of_value_type import ResourceListOfValueType from lusid.models.result_data_key_rule import ResultDataKeyRule from lusid.models.result_data_key_rule_all_of import ResultDataKeyRuleAllOf from lusid.models.result_data_schema import ResultDataSchema from lusid.models.result_key_rule import ResultKeyRule from lusid.models.result_key_rule_type import ResultKeyRuleType from lusid.models.result_value import ResultValue from lusid.models.result_value0_d import ResultValue0D from lusid.models.result_value0_d_all_of import ResultValue0DAllOf from lusid.models.result_value_decimal import ResultValueDecimal from lusid.models.result_value_decimal_all_of import ResultValueDecimalAllOf from lusid.models.result_value_dictionary import ResultValueDictionary from lusid.models.result_value_dictionary_all_of import ResultValueDictionaryAllOf from lusid.models.result_value_int import ResultValueInt from lusid.models.result_value_int_all_of import ResultValueIntAllOf from lusid.models.result_value_string import ResultValueString from lusid.models.result_value_string_all_of import ResultValueStringAllOf from lusid.models.result_value_type import ResultValueType from lusid.models.scaling_methodology import ScalingMethodology from lusid.models.schedule import Schedule from lusid.models.schedule_type import ScheduleType from lusid.models.schema import Schema from lusid.models.scope_definition import ScopeDefinition from lusid.models.sequence_definition import SequenceDefinition from lusid.models.set_legal_entity_identifiers_request import SetLegalEntityIdentifiersRequest from lusid.models.set_legal_entity_properties_request import SetLegalEntityPropertiesRequest from lusid.models.set_person_identifiers_request import SetPersonIdentifiersRequest from lusid.models.set_person_properties_request import SetPersonPropertiesRequest from lusid.models.set_transaction_configuration_alias import SetTransactionConfigurationAlias from lusid.models.set_transaction_configuration_source_request import SetTransactionConfigurationSourceRequest from lusid.models.side_configuration_data import SideConfigurationData from lusid.models.side_configuration_data_request import SideConfigurationDataRequest from lusid.models.side_definition import SideDefinition from lusid.models.side_definition_request import SideDefinitionRequest from lusid.models.simple_instrument import SimpleInstrument from lusid.models.simple_instrument_all_of import SimpleInstrumentAllOf from lusid.models.sort_order import SortOrder from lusid.models.step_schedule import StepSchedule from lusid.models.stream import Stream from lusid.models.string_comparison_type import StringComparisonType from lusid.models.structured_result_data import StructuredResultData from lusid.models.structured_result_data_id import StructuredResultDataId from lusid.models.target_tax_lot import TargetTaxLot from lusid.models.target_tax_lot_request import TargetTaxLotRequest from lusid.models.term_deposit import TermDeposit from lusid.models.term_deposit_all_of import TermDepositAllOf from lusid.models.tolerance import Tolerance from lusid.models.tolerance_enum import ToleranceEnum from lusid.models.transaction import Transaction from lusid.models.transaction_configuration_data import TransactionConfigurationData from lusid.models.transaction_configuration_data_request import TransactionConfigurationDataRequest from lusid.models.transaction_configuration_movement_data import TransactionConfigurationMovementData from lusid.models.transaction_configuration_movement_data_request import TransactionConfigurationMovementDataRequest from lusid.models.transaction_configuration_type_alias import TransactionConfigurationTypeAlias from lusid.models.transaction_price import TransactionPrice from lusid.models.transaction_price_type import TransactionPriceType from lusid.models.transaction_property_mapping import TransactionPropertyMapping from lusid.models.transaction_property_mapping_request import TransactionPropertyMappingRequest from lusid.models.transaction_query_mode import TransactionQueryMode from lusid.models.transaction_query_parameters import TransactionQueryParameters from lusid.models.transaction_request import TransactionRequest from lusid.models.transaction_roles import TransactionRoles from lusid.models.transaction_set_configuration_data import TransactionSetConfigurationData from lusid.models.transaction_set_configuration_data_request import TransactionSetConfigurationDataRequest from lusid.models.transaction_status import TransactionStatus from lusid.models.transaction_type import TransactionType from lusid.models.transaction_type_alias import TransactionTypeAlias from lusid.models.transaction_type_movement import TransactionTypeMovement from lusid.models.transaction_type_property_mapping import TransactionTypePropertyMapping from lusid.models.transaction_type_request import TransactionTypeRequest from lusid.models.translate_instrument_definitions_request import TranslateInstrumentDefinitionsRequest from lusid.models.translate_instrument_definitions_response import TranslateInstrumentDefinitionsResponse from lusid.models.typed_resource_id import TypedResourceId from lusid.models.unit_schema import UnitSchema from lusid.models.unmatched_holding_method import UnmatchedHoldingMethod from lusid.models.update_calendar_request import UpdateCalendarRequest from lusid.models.update_cut_label_definition_request import UpdateCutLabelDefinitionRequest from lusid.models.update_data_type_request import UpdateDataTypeRequest from lusid.models.update_instrument_identifier_request import UpdateInstrumentIdentifierRequest from lusid.models.update_portfolio_group_request import UpdatePortfolioGroupRequest from lusid.models.update_portfolio_request import UpdatePortfolioRequest from lusid.models.update_property_definition_request import UpdatePropertyDefinitionRequest from lusid.models.update_relationship_definition_request import UpdateRelationshipDefinitionRequest from lusid.models.update_unit_request import UpdateUnitRequest from lusid.models.upsert_cds_flow_conventions_request import UpsertCdsFlowConventionsRequest from lusid.models.upsert_complex_market_data_request import UpsertComplexMarketDataRequest from lusid.models.upsert_corporate_action_request import UpsertCorporateActionRequest from lusid.models.upsert_corporate_actions_response import UpsertCorporateActionsResponse from lusid.models.upsert_counterparty_agreement_request import UpsertCounterpartyAgreementRequest from lusid.models.upsert_credit_support_annex_request import UpsertCreditSupportAnnexRequest from lusid.models.upsert_flow_conventions_request import UpsertFlowConventionsRequest from lusid.models.upsert_index_convention_request import UpsertIndexConventionRequest from lusid.models.upsert_instrument_properties_response import UpsertInstrumentPropertiesResponse from lusid.models.upsert_instrument_property_request import UpsertInstrumentPropertyRequest from lusid.models.upsert_instruments_response import UpsertInstrumentsResponse from lusid.models.upsert_legal_entity_access_metadata_request import UpsertLegalEntityAccessMetadataRequest from lusid.models.upsert_legal_entity_request import UpsertLegalEntityRequest from lusid.models.upsert_person_access_metadata_request import UpsertPersonAccessMetadataRequest from lusid.models.upsert_person_request import UpsertPersonRequest from lusid.models.upsert_portfolio_access_metadata_request import UpsertPortfolioAccessMetadataRequest from lusid.models.upsert_portfolio_group_access_metadata_request import UpsertPortfolioGroupAccessMetadataRequest from lusid.models.upsert_portfolio_transactions_response import UpsertPortfolioTransactionsResponse from lusid.models.upsert_quote_access_metadata_rule_request import UpsertQuoteAccessMetadataRuleRequest from lusid.models.upsert_quote_request import UpsertQuoteRequest from lusid.models.upsert_quotes_response import UpsertQuotesResponse from lusid.models.upsert_recipe_request import UpsertRecipeRequest from lusid.models.upsert_reference_portfolio_constituents_request import UpsertReferencePortfolioConstituentsRequest from lusid.models.upsert_reference_portfolio_constituents_response import UpsertReferencePortfolioConstituentsResponse from lusid.models.upsert_result_values_data_request import UpsertResultValuesDataRequest from lusid.models.upsert_returns_response import UpsertReturnsResponse from lusid.models.upsert_single_structured_data_response import UpsertSingleStructuredDataResponse from lusid.models.upsert_structured_data_response import UpsertStructuredDataResponse from lusid.models.upsert_structured_result_data_request import UpsertStructuredResultDataRequest from lusid.models.upsert_transaction_properties_response import UpsertTransactionPropertiesResponse from lusid.models.user import User from lusid.models.valuation_request import ValuationRequest from lusid.models.valuation_schedule import ValuationSchedule from lusid.models.valuations_reconciliation_request import ValuationsReconciliationRequest from lusid.models.value_type import ValueType from lusid.models.vendor_library import VendorLibrary from lusid.models.vendor_model_rule import VendorModelRule from lusid.models.version import Version from lusid.models.version_summary_dto import VersionSummaryDto from lusid.models.versioned_resource_list_of_a2_b_data_record import VersionedResourceListOfA2BDataRecord from lusid.models.versioned_resource_list_of_a2_b_movement_record import VersionedResourceListOfA2BMovementRecord from lusid.models.versioned_resource_list_of_output_transaction import VersionedResourceListOfOutputTransaction from lusid.models.versioned_resource_list_of_portfolio_holding import VersionedResourceListOfPortfolioHolding from lusid.models.versioned_resource_list_of_transaction import VersionedResourceListOfTransaction from lusid.models.versioned_resource_list_with_warnings_of_portfolio_holding import VersionedResourceListWithWarningsOfPortfolioHolding from lusid.models.virtual_document import VirtualDocument from lusid.models.virtual_document_row import VirtualDocumentRow from lusid.models.warning import Warning from lusid.models.weekend_mask import WeekendMask from lusid.models.weighted_instrument import WeightedInstrument from lusid.models.weighted_instruments import WeightedInstruments from lusid.models.yield_curve_data import YieldCurveData from lusid.models.yield_curve_data_all_of import YieldCurveDataAllOf

69.489209

146

0.914567

5,714

48,295

7.439622

0.176059

0.141849

0.217008

0.029217

0.312044

0.19546

0.101341

0.027476

0.012468

0

0.000769

0.057149

48,295

694

147

69.589337

0.932799

0.005611

0

1

0

0.000188

0

1

0

false

0

0.998512

0

0.998512

0

null

0

1

0

1

0

null

0

1

0

1

0

4

d9b96bf018bc0b37ce947344981c9eed4ae4930d

82

py

Python

Grammar/02Var and types/name.py

Abraham-Thomas/shiyanlou-code

ae3b940b406ba4af942dd51627fd93e85effe5b9

[ "MIT" ]

null

Grammar/02Var and types/name.py

Abraham-Thomas/shiyanlou-code

ae3b940b406ba4af942dd51627fd93e85effe5b9

[ "MIT" ]

null

Grammar/02Var and types/name.py

Abraham-Thomas/shiyanlou-code

ae3b940b406ba4af942dd51627fd93e85effe5b9

[ "MIT" ]

null

name = "ada lovelace" print(name.title()) print(name.upper()) print(name.lower())

16.4

21

0.695122

12

82

4.75

0.583333

0.473684

0

0.085366

82

4

22

20.5

0.76

0

0.146341

0

1

0

false

0

0.75

1

0

null

1

0

1

0

null

0

1

0

4

d9c72f3f6f4070204e4838d601ae63ffd46bd91a

81

py

Python

sheraf/version.py

yaal-coop/sheraf

774e3781bc6ff2e16c6cc39f268d475b5e64fcea

[ "MIT" ]

null

sheraf/version.py

yaal-coop/sheraf

774e3781bc6ff2e16c6cc39f268d475b5e64fcea

[ "MIT" ]

null

sheraf/version.py

yaal-coop/sheraf

774e3781bc6ff2e16c6cc39f268d475b5e64fcea

[ "MIT" ]

null

__version_info__ = (0, 5, 29) __version__ = "{}.{}.{}".format(*__version_info__)

27

50

0.654321

9

81

4.333333

0.666667

0.564103

0

0.054795

0.098765

81

2

51

40.5

0.479452

0

0.098765

0

1

0

false

0

1

0

null

1

0

1

0

1

0

null

0

4

d9d15e62456ff7d48261b3277cfe5d6120348f16

581

py

Python

scripts/SIR_demo/demo_generate_grfn.py

mikiec84/delphi

2e517f21e76e334c7dfb14325d25879ddf26d10d

[ "Apache-2.0" ]

25

2018-03-03T11:57:57.000Z

2022-01-16T21:19:54.000Z

scripts/SIR_demo/demo_generate_grfn.py

mikiec84/delphi

2e517f21e76e334c7dfb14325d25879ddf26d10d

[ "Apache-2.0" ]

385

2018-02-21T16:52:06.000Z

2022-02-17T07:44:56.000Z

scripts/SIR_demo/demo_generate_grfn.py

mikiec84/delphi

2e517f21e76e334c7dfb14325d25879ddf26d10d

[ "Apache-2.0" ]

19

2018-03-20T01:08:11.000Z

2021-09-29T01:04:49.000Z

from delphi.GrFN.networks import GroundedFunctionNetwork # ----------------------------------------------------------------------------- # # ----------------------------------------------------------------------------- print('Running demo_generate_grfn.py') source_fortran_file = 'DiscreteSIR-noarrays.f' print(f' source_fortran_file: {source_fortran_file}') grfn = GroundedFunctionNetwork.from_fortran_file(source_fortran_file) agraph = grfn.to_AGraph() agraph.draw('graph.pdf', prog='dot') # -----------------------------------------------------------------------------

32.277778

79

0.46988

44

581

5.909091

0.545455

0.211538

0.261538

0.184615

0.215385

0

0.061962

581

17

80

34.176471

0.477064

0.401033

0

0.317784

0.186589

0

1

0

false

0

0.142857

0

0.142857

0.285714

0

null

1

0

1

0

null

0

4

d9e62aa9ac63839a40b5c572a1d42bf84a01795a

77

py

Python

externals.py

CodeBleu/mcserver

32c3927ee8ef9e1d14d2d99bd2258f4b5b5e3b46

[ "MIT" ]

3

2020-08-29T13:33:30.000Z

2020-10-03T15:40:30.000Z

externals.py

CodeBleu/mcserver

32c3927ee8ef9e1d14d2d99bd2258f4b5b5e3b46

[ "MIT" ]

3

2020-10-10T17:06:19.000Z

2020-11-14T15:21:26.000Z

externals.py

CodeBleu/mcserver

32c3927ee8ef9e1d14d2d99bd2258f4b5b5e3b46

[ "MIT" ]

1

2020-10-10T13:09:27.000Z

# Intentionally empty # This is used as a singleton to store various objects

25.666667

54

0.792208

12

77

5.083333

1

0

0.181818

77

2

55

38.5

0.968254

0.935065

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

d9fe0c906fc58d6d96421fabd711385d3f9fa781

23

py

Python

pytorch3dunet/__version__.py

ciubecca/3dunet-cavity

cfcc827773b18a95d221ab86c1afc5e2f7c30ecb

[ "MIT" ]

null

pytorch3dunet/__version__.py

ciubecca/3dunet-cavity

cfcc827773b18a95d221ab86c1afc5e2f7c30ecb

[ "MIT" ]

null

pytorch3dunet/__version__.py

ciubecca/3dunet-cavity

cfcc827773b18a95d221ab86c1afc5e2f7c30ecb

[ "MIT" ]

null

__version__ = '1.3.1'

11.5

22

0.608696

4

23

2.5

0.75

0

0.157895

0.173913

23

1

23

0.368421

0

0.227273

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

8a134286d99e02a2390da2f7536940a9b0ea9077

108

py

Python

config_template.py

oholsen/scales

ca721581cf989a77a7653341d87ef7d17056aee0

[ "MIT" ]

null

config_template.py

oholsen/scales

ca721581cf989a77a7653341d87ef7d17056aee0

[ "MIT" ]

null

config_template.py

oholsen/scales

ca721581cf989a77a7653341d87ef7d17056aee0

[ "MIT" ]

null

wifi_ssid = "" wifi_password = "" mqtt_username = "" mqtt_password = "" mqtt_address = "" mqtt_port = 8883

13.5

18

0.675926

13

108

5.153846

0.615385

0.358209

0

0.044944

0.175926

108

7

19

15.428571

0.707865

0

1

0

false

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

4

8a1badef2077a22a3a21bb75cb08ac622c211d09

91

py

Python

BOJ/15000~15999/15036.py

shinkeonkim/today-ps

f3e5e38c5215f19579bb0422f303a9c18c626afa

[ "Apache-2.0" ]

null

BOJ/15000~15999/15036.py

shinkeonkim/today-ps

f3e5e38c5215f19579bb0422f303a9c18c626afa

[ "Apache-2.0" ]

null

BOJ/15000~15999/15036.py

shinkeonkim/today-ps

f3e5e38c5215f19579bb0422f303a9c18c626afa

[ "Apache-2.0" ]

null

input() print(sum([16 // i if i != 0 else 32 for i in [*map(int, input().split())]]) / 16)

30.333333

82

0.549451

18

91

2.777778

0.777778

0

0.094595

0.186813

91

2

83

45.5

0.581081

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

8a2a86ae7d9771dcdccd215459c392299909a04c

313

py

Python

src/metrics/precision.py

Jud1cator/training-pipeline

d129c54985c67844b391701228f35dc014203aaa

[ "MIT" ]

null

src/metrics/precision.py

Jud1cator/training-pipeline

d129c54985c67844b391701228f35dc014203aaa

[ "MIT" ]

null

src/metrics/precision.py

Jud1cator/training-pipeline

d129c54985c67844b391701228f35dc014203aaa

[ "MIT" ]

null

import numpy as np from src.metrics.abstract_metric import AbstractMetric class Precision(AbstractMetric): def __init__(self): super().__init__() def get_value(self, confusion_matrix: np.ndarray): return np.mean(np.nan_to_num(np.diag(confusion_matrix) / confusion_matrix.sum(axis=0)))

26.083333

95

0.738019

43

313

5.023256

0.697674

0.208333

0

0.003788

0.15655

313

11

96

28.454545

0.814394

0

1

0.285714

false

0

0.285714

0.142857

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0

null

1

0

null

0

1

0

1

0

4

8a4221429957ef1467a7a6e1af818ac1ceef26ee

10,548

py

Python

spark/pyspark/examples/render/nyc_taxi.py

DragonDriver/arctern

1bf720ae13681efff5f986f5378c84d0546515a5

[ "Apache-2.0" ]

1

2020-04-26T08:16:41.000Z

spark/pyspark/examples/render/nyc_taxi.py

gracezzzzz/arctern

bd364f7e5e234e24216a1754f8f50ac4f838f2f2

[ "Apache-2.0" ]

null

spark/pyspark/examples/render/nyc_taxi.py

gracezzzzz/arctern

bd364f7e5e234e24216a1754f8f50ac4f838f2f2

[ "Apache-2.0" ]

null

# Copyright (C) 2019-2020 Zilliz. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import time from arctern.util import save_png from arctern.util.vega import vega_pointmap, vega_heatmap, vega_choroplethmap, vega_weighted_pointmap, vega_icon from pyspark.sql import SparkSession from arctern_pyspark import register_funcs from arctern_pyspark import heatmap from arctern_pyspark import pointmap from arctern_pyspark import choroplethmap from arctern_pyspark import weighted_pointmap from arctern_pyspark import icon_viz def draw_point_map(spark): start_time = time.time() # file 0_5M_nyc_taxi_and_building.csv could be obtained from arctern-turoial warehouse under zilliztech account. The link on github is https://github.com/zilliztech/arctern-tutorial df = spark.read.format("csv").option("header", True).option("delimiter", ",").schema( "VendorID string, tpep_pickup_datetime timestamp, tpep_dropoff_datetime timestamp, passenger_count long, trip_distance double, pickup_longitude double, pickup_latitude double, dropoff_longitude double, dropoff_latitude double, fare_amount double, tip_amount double, total_amount double, buildingid_pickup long, buildingid_dropoff long, buildingtext_pickup string, buildingtext_dropoff string").load( "file:///tmp/0_5M_nyc_taxi_and_building.csv").cache() df.createOrReplaceTempView("nyc_taxi") register_funcs(spark) res = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") vega = vega_pointmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], point_size=3, point_color="#2DEF4A", opacity=0.5, coordinate_system="EPSG:4326") res = pointmap(vega, res) save_png(res, '/tmp/pointmap.png') spark.sql("show tables").show() spark.catalog.dropGlobalTempView("nyc_taxi") print("--- %s seconds ---" % (time.time() - start_time)) def draw_weighted_point_map(spark): start_time = time.time() df = spark.read.format("csv").option("header", True).option("delimiter", ",").schema( "VendorID string, tpep_pickup_datetime timestamp, tpep_dropoff_datetime timestamp, passenger_count long, trip_distance double, pickup_longitude double, pickup_latitude double, dropoff_longitude double, dropoff_latitude double, fare_amount double, tip_amount double, total_amount double, buildingid_pickup long, buildingid_dropoff long, buildingtext_pickup string, buildingtext_dropoff string").load( "file:///tmp/0_5M_nyc_taxi_and_building.csv").cache() df.createOrReplaceTempView("nyc_taxi") register_funcs(spark) # single color and single stroke width res1 = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") vega1 = vega_weighted_pointmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], color_gradient=["#87CEEB"], opacity=1.0, coordinate_system="EPSG:4326") res1 = weighted_pointmap(vega1, res1) save_png(res1, '/tmp/weighted_pointmap_0_0.png') # multiple color and single stroke width res2 = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point, tip_amount as c from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") vega2 = vega_weighted_pointmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], color_gradient=["#0000FF", "#FF0000"], color_bound=[0, 2], opacity=1.0, coordinate_system="EPSG:4326") res2 = weighted_pointmap(vega2, res2) save_png(res2, '/tmp/weighted_pointmap_1_0.png') # single color and multiple stroke width res3 = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point, fare_amount as s from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") vega3 = vega_weighted_pointmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], color_gradient=["#87CEEB"], size_bound=[0, 10], opacity=1.0, coordinate_system="EPSG:4326") res3 = weighted_pointmap(vega3, res3) save_png(res3, '/tmp/weighted_pointmap_0_1.png') # multiple color and multiple stroke width res4 = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point, tip_amount as c, fare_amount as s from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") vega4 = vega_weighted_pointmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], color_gradient=["#0000FF", "#FF0000"], color_bound=[0, 2], size_bound=[0, 10], opacity=1.0, coordinate_system="EPSG:4326") res4 = weighted_pointmap(vega4, res4) save_png(res4, '/tmp/weighted_pointmap_1_1.png') spark.sql("show tables").show() spark.catalog.dropGlobalTempView("nyc_taxi") print("--- %s seconds ---" % (time.time() - start_time)) def draw_heat_map(spark): start_time = time.time() df = spark.read.format("csv").option("header", True).option("delimiter", ",").schema( "VendorID string, tpep_pickup_datetime timestamp, tpep_dropoff_datetime timestamp, passenger_count long, trip_distance double, pickup_longitude double, pickup_latitude double, dropoff_longitude double, dropoff_latitude double, fare_amount double, tip_amount double, total_amount double, buildingid_pickup long, buildingid_dropoff long, buildingtext_pickup string, buildingtext_dropoff string").load( "file:///tmp/0_5M_nyc_taxi_and_building.csv").cache() df.createOrReplaceTempView("nyc_taxi") register_funcs(spark) res = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point, passenger_count as w from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") res.show() vega = vega_heatmap(1024, 896, bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816], map_zoom_level=10.0, coordinate_system='EPSG:4326') res = heatmap(vega, res) save_png(res, '/tmp/heatmap.png') spark.sql("show tables").show() spark.catalog.dropGlobalTempView("nyc_taxi") print("--- %s seconds ---" % (time.time() - start_time)) def draw_choropleth_map(spark): start_time = time.time() df = spark.read.format("csv").option("header", True).option("delimiter", ",").schema( "VendorID string, tpep_pickup_datetime timestamp, tpep_dropoff_datetime timestamp, passenger_count long, trip_distance double, pickup_longitude double, pickup_latitude double, dropoff_longitude double, dropoff_latitude double, fare_amount double, tip_amount double, total_amount double, buildingid_pickup long, buildingid_dropoff long, buildingtext_pickup string, buildingtext_dropoff string").load( "file:///tmp/0_5M_nyc_taxi_and_building.csv").cache() df.createOrReplaceTempView("nyc_taxi") register_funcs(spark) res = spark.sql("select ST_GeomFromText(buildingtext_dropoff) as polygon, passenger_count as w from nyc_taxi where (buildingtext_dropoff!='')") vega1 = vega_choroplethmap(1900, 1410, bounding_box=[-73.994092, 40.753893, -73.977588, 40.759642], color_gradient=["#0000FF", "#FF0000"], color_bound=[2.5, 5], opacity=1.0, coordinate_system='EPSG:4326') res1 = choroplethmap(vega1, res) save_png(res1, '/tmp/choroplethmap1.png') spark.sql("show tables").show() spark.catalog.dropGlobalTempView("nyc_taxi") print("--- %s seconds ---" % (time.time() - start_time)) def draw_icon_viz(spark): start_time = time.time() df = spark.read.format("csv").option("header", True).option("delimiter", ",").schema( "VendorID string, tpep_pickup_datetime timestamp, tpep_dropoff_datetime timestamp, passenger_count long, trip_distance double, pickup_longitude double, pickup_latitude double, dropoff_longitude double, dropoff_latitude double, fare_amount double, tip_amount double, total_amount double, buildingid_pickup long, buildingid_dropoff long, buildingtext_pickup string, buildingtext_dropoff string").load( "file:///tmp/0_5M_nyc_taxi_and_building.csv").cache() df.createOrReplaceTempView("nyc_taxi") register_funcs(spark) res = spark.sql("select ST_Point(pickup_longitude, pickup_latitude) as point from nyc_taxi where ST_Within(ST_Point(pickup_longitude, pickup_latitude), ST_GeomFromText('POLYGON ((-73.998427 40.730309, -73.954348 40.730309, -73.954348 40.780816 ,-73.998427 40.780816, -73.998427 40.730309))'))") icon_path = "/tmp/taxi.png" vega = vega_icon(1024, 896, [-73.998427, 40.730309, -73.954348, 40.780816], icon_path, "EPSG:4326") res = icon_viz(vega, res) save_png(res, '/tmp/icon_viz.png') spark.sql("show tables").show() spark.catalog.dropGlobalTempView("nyc_taxi") print("--- %s seconds ---" % (time.time() - start_time)) if __name__ == "__main__": spark_session = SparkSession \ .builder \ .appName("Python Testmap") \ .getOrCreate() spark_session.conf.set("spark.sql.execution.arrow.pyspark.enabled", "true") draw_heat_map(spark_session) draw_point_map(spark_session) draw_choropleth_map(spark_session) draw_weighted_point_map(spark_session) draw_icon_viz(spark_session) spark_session.stop()

65.925

407

0.751612

1,477

10,548

5.140826

0.150982

0.029501

0.036876

0.044251

0.761623

0.723298

0.710786

0.69867

0.678125

0

0.110895

0.12372

10,548

159

408

66.339623

0.710592

0.086272

0

0.443396

0

0.113208

0.523339

0.121011

0

1

0.04717

false

0.066038

0.09434

0

0.141509

0.04717

0

null

0

1

0

1

0

null

0

1

0

4

8a76b37073351919c890c7f98f504fb283ca3836

92

py

Python

src/tt_web/tt_web/utils.py

al-arz/the-tale

542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5

[ "BSD-3-Clause" ]

null

src/tt_web/tt_web/utils.py

al-arz/the-tale

542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5

[ "BSD-3-Clause" ]

null

src/tt_web/tt_web/utils.py

al-arz/the-tale

542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5

[ "BSD-3-Clause" ]

null

import json def load_config(path): with open(path) as f: return json.load(f)

11.5

27

0.630435

15

92

3.8

0.733333

0

0.271739

92

7

28

13.142857

0.850746

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8a9a2f20da7c317bb3bca32c20412b7f8f4bb0e8

85

py

Python

djdelt/apps.py

scott2b/django-gdelt

51f8c5d212bc1b066a774c57a9fc7bfd87d529c5

[ "MIT" ]

null

djdelt/apps.py

scott2b/django-gdelt

51f8c5d212bc1b066a774c57a9fc7bfd87d529c5

[ "MIT" ]

2

2020-06-05T18:20:10.000Z

2021-06-10T20:21:47.000Z

djdelt/apps.py

scott2b/django-gdelt

51f8c5d212bc1b066a774c57a9fc7bfd87d529c5

[ "MIT" ]

null

from django.apps import AppConfig class GdeltConfig(AppConfig): name = 'gdelt'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8abfab879280d9974b3090b64685c37e2aab5b6d

29

py

Python

research/environments/__init__.py

MinRegret/TigerControl

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

31

2019-11-08T06:01:54.000Z

2021-11-20T04:50:43.000Z

research/environments/__init__.py

johnhallman/ctsb

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

32

2019-06-27T15:05:04.000Z

2019-08-07T04:23:47.000Z

research/environments/__init__.py

MinRegret/tigercontrol

b1ca0617cbb2198f9d5cb37f725f3d7accbab08f

[ "Apache-2.0" ]

3

2020-09-30T17:06:50.000Z

2021-04-12T22:39:34.000Z

# import all environments

5.8

25

0.724138

3

29

7

1

0

0.241379

29

4

26

7.25

0.954545

0.793103

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

8ac429b3af0a305b60d48fb27d7217b910446a98

951

py

Python

server/budgettrackerbackend/budgets/serializers.py

gmulz/budget-tracker-2

0abc144d50420875853e89080ec5cac27cc256a4

[ "MIT" ]

null

server/budgettrackerbackend/budgets/serializers.py

gmulz/budget-tracker-2

0abc144d50420875853e89080ec5cac27cc256a4

[ "MIT" ]

null

server/budgettrackerbackend/budgets/serializers.py

gmulz/budget-tracker-2

0abc144d50420875853e89080ec5cac27cc256a4

[ "MIT" ]

null

from rest_framework import serializers from .models import User, Income, Category, Transaction, RecurringExpense class UserSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = User fields = ['name', 'id'] class IncomeSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Income fields = ['date', 'description', 'income', 'user'] class CategorySerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Category fields = ['description', 'id', 'is_recurring'] class TransactionSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Transaction fields = ['description', 'date', 'cost', 'category', 'user', 'id'] class RecurringExpenseSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = RecurringExpense fields = ['description', 'cost', 'category', 'user', 'id']

33.964286

74

0.698212

79

951

8.379747

0.35443

0.279456

0.317221

0.347432

0.385196

0

0.191378

951

28

75

33.964286

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0

0.227273

0

0.12395

0

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false

0

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0

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0

null

1

0

null

0

1

0

4

8ac9e18c3dddced14dc100863498a4a076a5bc13

5,575

py

Python

tests/unit/dataactvalidator/test_b11_object_class_program_activity_2.py

brianherman/data-act-broker-backend

80eb055b9d245046192f7ad4fd0be7d0e11d2dec

[ "CC0-1.0" ]

null

tests/unit/dataactvalidator/test_b11_object_class_program_activity_2.py

brianherman/data-act-broker-backend

80eb055b9d245046192f7ad4fd0be7d0e11d2dec

[ "CC0-1.0" ]

3

2021-08-22T11:47:45.000Z

2022-03-29T22:06:49.000Z

tests/unit/dataactvalidator/test_b11_object_class_program_activity_2.py

brianherman/data-act-broker-backend

80eb055b9d245046192f7ad4fd0be7d0e11d2dec

[ "CC0-1.0" ]

1

2020-07-17T23:50:56.000Z

from tests.unit.dataactcore.factories.staging import ObjectClassProgramActivityFactory from tests.unit.dataactcore.factories.domain import ObjectClassFactory from tests.unit.dataactvalidator.utils import number_of_errors, query_columns _FILE = 'b11_object_class_program_activity_2' def test_column_headers(database): expected_subset = {'row_number', 'object_class', 'uniqueid_TAS', 'uniqueid_ObjectClass'} actual = set(query_columns(_FILE, database)) assert (actual & expected_subset) == expected_subset def test_success(database): """ Test valid object class code (3 digits) """ op = ObjectClassProgramActivityFactory(object_class='object_class') oc = ObjectClassFactory(object_class_code='object_class') assert number_of_errors(_FILE, database, models=[op, oc]) == 0 def test_success_all_zero(database): """ Test not returning a warning on '000' when all monetary values are 0 """ op = ObjectClassProgramActivityFactory(object_class='000', deobligations_recov_by_pro_cpe=0, gross_outlay_amount_by_pro_cpe=0, gross_outlay_amount_by_pro_fyb=0, gross_outlays_delivered_or_cpe=0, gross_outlays_delivered_or_fyb=0, gross_outlays_undelivered_cpe=0, gross_outlays_undelivered_fyb=0, obligations_delivered_orde_cpe=0, obligations_delivered_orde_fyb=0, obligations_incurred_by_pr_cpe=0, obligations_undelivered_or_cpe=0, obligations_undelivered_or_fyb=0, ussgl480100_undelivered_or_cpe=0, ussgl480100_undelivered_or_fyb=0, ussgl480200_undelivered_or_cpe=0, ussgl480200_undelivered_or_fyb=0, ussgl483100_undelivered_or_cpe=0, ussgl483200_undelivered_or_cpe=0, ussgl487100_downward_adjus_cpe=0, ussgl487200_downward_adjus_cpe=0, ussgl488100_upward_adjustm_cpe=0, ussgl488200_upward_adjustm_cpe=0, ussgl490100_delivered_orde_cpe=0, ussgl490100_delivered_orde_fyb=0, ussgl490200_delivered_orde_cpe=0, ussgl490800_authority_outl_cpe=0, ussgl490800_authority_outl_fyb=0, ussgl493100_delivered_orde_cpe=0, ussgl497100_downward_adjus_cpe=0, ussgl497200_downward_adjus_cpe=0, ussgl498100_upward_adjustm_cpe=0, ussgl498200_upward_adjustm_cpe=0) assert number_of_errors(_FILE, database, models=[op]) == 0 def test_failure(database): """ Test invalid object class code (3 digits) """ # This should return because if it's '0000' '000', '00', '0' a warning should be returned op = ObjectClassProgramActivityFactory(object_class='0000') assert number_of_errors(_FILE, database, models=[op]) == 1 op = ObjectClassProgramActivityFactory(object_class='000') assert number_of_errors(_FILE, database, models=[op]) == 1 op = ObjectClassProgramActivityFactory(object_class='00') assert number_of_errors(_FILE, database, models=[op]) == 1 op = ObjectClassProgramActivityFactory(object_class='0') assert number_of_errors(_FILE, database, models=[op]) == 1 def test_fail_nonzero(database): """ Test returning a warning on '000' when not all monetary values are 0 """ # even one non-zero should return a warning op = ObjectClassProgramActivityFactory(object_class='000', deobligations_recov_by_pro_cpe=1, gross_outlay_amount_by_pro_cpe=0, gross_outlay_amount_by_pro_fyb=0, gross_outlays_delivered_or_cpe=0, gross_outlays_delivered_or_fyb=0, gross_outlays_undelivered_cpe=0, gross_outlays_undelivered_fyb=0, obligations_delivered_orde_cpe=0, obligations_delivered_orde_fyb=0, obligations_incurred_by_pr_cpe=0, obligations_undelivered_or_cpe=0, obligations_undelivered_or_fyb=0, ussgl480100_undelivered_or_cpe=0, ussgl480100_undelivered_or_fyb=0, ussgl480200_undelivered_or_cpe=0, ussgl480200_undelivered_or_fyb=0, ussgl483100_undelivered_or_cpe=0, ussgl483200_undelivered_or_cpe=0, ussgl487100_downward_adjus_cpe=0, ussgl487200_downward_adjus_cpe=0, ussgl488100_upward_adjustm_cpe=0, ussgl488200_upward_adjustm_cpe=0, ussgl490100_delivered_orde_cpe=0, ussgl490100_delivered_orde_fyb=0, ussgl490200_delivered_orde_cpe=0, ussgl490800_authority_outl_cpe=0, ussgl490800_authority_outl_fyb=0, ussgl493100_delivered_orde_cpe=0, ussgl497100_downward_adjus_cpe=0, ussgl497200_downward_adjus_cpe=0, ussgl498100_upward_adjustm_cpe=0, ussgl498200_upward_adjustm_cpe=0) assert number_of_errors(_FILE, database, models=[op]) == 1

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8acb8b84523768a73d670415955f8348bb913183

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py

Python

28_tipe_data_set.py

bejo-cyber/bejo-world

15b22fef330bf304918d406ba6a3f9e3addb5f11

[ "Apache-2.0" ]

null

28_tipe_data_set.py

bejo-cyber/bejo-world

15b22fef330bf304918d406ba6a3f9e3addb5f11

[ "Apache-2.0" ]

null

28_tipe_data_set.py

bejo-cyber/bejo-world

15b22fef330bf304918d406ba6a3f9e3addb5f11

[ "Apache-2.0" ]

null

# set, himpunan: super_hero = {'superman','ironman','hulk','flash'} print(super_hero) print('1=====================') super_hero.add('gundala') super_hero.add('121') print(super_hero) print('2=====================') super_hero.add('hulk') print(super_hero) print(sorted(super_hero)) print('3=====================') ganjil = {1,3,5,7,9} genap = {2,4,6,8,10} prima = {2,3,5,7} print(ganjil.union(genap)) print(ganjil.intersection(prima))

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py

Python

tests/skl_datasets/BinaryClass_500/skl_dataset_BinaryClass_500_AdaBoostClassifier_1_code_gen.py

antoinecarme/sklearn_model_explanation

feeeb75576931f4a05a786d936babc0a664eef46

[ "BSD-3-Clause" ]

13

2017-12-22T09:12:51.000Z

2021-07-26T06:31:54.000Z

tests/skl_datasets/BinaryClass_500/skl_dataset_BinaryClass_500_AdaBoostClassifier_1_code_gen.py

antoinecarme/sklearn_model_explanation

feeeb75576931f4a05a786d936babc0a664eef46

[ "BSD-3-Clause" ]

11

2017-09-19T20:00:35.000Z

2018-02-05T07:59:06.000Z

tests/skl_datasets/BinaryClass_500/skl_dataset_BinaryClass_500_AdaBoostClassifier_1_code_gen.py

antoinecarme/sklearn_model_explanation

feeeb75576931f4a05a786d936babc0a664eef46

[ "BSD-3-Clause" ]

4

2017-12-11T12:33:32.000Z

2020-02-09T15:08:56.000Z

from sklearn_explain.tests.skl_datasets import skl_datasets_test as skltest skltest.test_class_dataset_and_model("BinaryClass_500" , "AdaBoostClassifier_1")

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76d9b3cff22f1c5f68ffeb121820fee38db35755

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py

Python

ml-serving/ml_serving/inference.py

gasparian/ml-serving-template

02d2e4c73617647e42c455e7ff79105422d08681

[ "MIT" ]

6

2021-03-07T22:11:00.000Z

2022-03-08T15:04:49.000Z

ml-serving/ml_serving/inference.py

gasparian/ml-serving-template

02d2e4c73617647e42c455e7ff79105422d08681

[ "MIT" ]

null

ml-serving/ml_serving/inference.py

gasparian/ml-serving-template

02d2e4c73617647e42c455e7ff79105422d08681

[ "MIT" ]

null

import abc from typing import Any class PredictorBase(abc.ABC): def __init__(self, *args, **kwargs): pass @abc.abstractmethod def predict(self, data: Any) -> Any: pass

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76e1f3c38bd7417723a6716db22bb9a7a3b6ff34

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py

Python

keras/datasets/__init__.py

tsheaff/keras

ee227dda766d769b7499a5549e8ed77b5e88105b

[ "Apache-2.0" ]

37,222

2017-12-13T00:52:55.000Z

2022-03-31T22:34:35.000Z

keras/datasets/__init__.py

amirsadafi/keras

f1e9c76675981ee6683f54a3ce569212d551d12d

[ "Apache-2.0" ]

7,624

2017-12-13T01:03:40.000Z

2022-03-31T23:57:24.000Z

keras/datasets/__init__.py

amirsadafi/keras

f1e9c76675981ee6683f54a3ce569212d551d12d

[ "Apache-2.0" ]

14,914

2017-12-13T02:30:46.000Z

2022-03-30T14:49:16.000Z

"""Small NumPy datasets for debugging/testing."""

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0a02c7d0bccb925adc3626e13df63a21b04eadb7

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py

Python

powerpool/__init__.py

sigwo/powerpool

197d525d99b3dbdeff67436a5975d2741d7c0ef9

[ "BSD-2-Clause" ]

16

2017-08-17T23:48:18.000Z

2021-10-05T16:15:03.000Z

powerpool/__init__.py

sigwo/powerpool

197d525d99b3dbdeff67436a5975d2741d7c0ef9

[ "BSD-2-Clause" ]

null

powerpool/__init__.py

sigwo/powerpool

197d525d99b3dbdeff67436a5975d2741d7c0ef9

[ "BSD-2-Clause" ]

5

2017-07-17T16:31:14.000Z

2021-10-05T16:15:34.000Z

__version__ = "0.6.2" __version_info__ = (0, 6, 2)

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null

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4

0a07f62d23c1176ebf26a5d9c10e8a16b7b8bad9

5,610

py

Python

tests/test_nft.py

HathorNetwork/python-hathorlib

2b534de8e4c6e15a30db2d681636338cf4c1718b

[ "Apache-2.0" ]

null

tests/test_nft.py

HathorNetwork/python-hathorlib

2b534de8e4c6e15a30db2d681636338cf4c1718b

[ "Apache-2.0" ]

1

2021-08-23T13:28:28.000Z

2021-09-14T18:58:03.000Z

tests/test_nft.py

HathorNetwork/python-hathorlib

2b534de8e4c6e15a30db2d681636338cf4c1718b

[ "Apache-2.0" ]

2

2021-08-24T14:15:29.000Z

2022-02-08T21:36:11.000Z

""" Copyright (c) Hathor Labs and its affiliates. This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. """ import unittest from hathorlib.base_transaction import TxOutput, tx_or_block_from_bytes from hathorlib.scripts import DataScript class HathorNFTTestCase(unittest.TestCase): def test_is_nft(self): # Normal tx data = bytes.fromhex('000100010100c994a3f1b46ddeb7134f65cb18b1b11ca7e19d59875a704b2bb2f79f6700b60000694630440' '220066d379c43ee73c3704730a44d66a077fb2b1cee2b399cbcf87f34d2b2d84308022032e0a93662094c5d' 'b4ed022708981717d06038924535257d181c2fa9f62a6ff9210310a7cd9cae728ddf8c7fef342f963b1cab1' '97d97b28124ebbd0208d60d9f08780000000200001976a914e7c8133e7611a0ef57830f4321661ff9e5c42f' '4188ac40200000218def41612cefe10200002d0403a9e39e8176b2e8ca6728f7c8393cea3403f4432c047e5' 'b28cb0470009ed2ab70b799729bcdbaa8edc064bd78fb258ea23fe6688272acad587445ab0000000c') tx = tx_or_block_from_bytes(data) self.assertFalse(tx.is_nft_creation_standard()) self.assertTrue(tx.is_standard()) # Create token tx data2 = bytes.fromhex('0002010400b25b5385d9bbe80018a98884fdb2d63de3404c23e1b6695df34c103755b56900006a473045022' '100b05b56237bd425ceeedc1bed82660239ae5cba5790e58980072a6d7a0b00ad500220729c456675abbee1' '2b084ea841779ec26fe9d4ac4c3a6b2b004678ba697c66e72102c79cca85e51de1e3e85a232477d3be574aa' '8d83c975321ac1993143d18401f3c0000006401001976a914bdd06a2ec4f180e5f3f5752671a771544c3936' '4a88ac0000000181001976a914bdd06a2ec4f180e5f3f5752671a771544c39364a88ac0000000281001976a' '914bdd06a2ec4f180e5f3f5752671a771544c39364a88ac0000138700001976a914439d757c69635d48ddb2' 'a106a18ea5c1ce158d8488ac0106544f4b454e3104544b4e314032320a39bd7d606127f3ff02009ed2ab70b' '799729bcdbaa8edc064bd78fb258ea23fe6688272acad587445ab00d9741624399388d196e5e409595e65a1' '803764ee078f34ebb2bda63ff6a63a000104d8') tx2 = tx_or_block_from_bytes(data2) self.assertFalse(tx2.is_nft_creation_standard()) self.assertTrue(tx2.is_standard()) # NFT tx data3 = bytes.fromhex('00020103000023117762f80fad7c28eea89e793036e8e5855038eee4deea02c53d7513e700006a473045022' '100eab17bbadcd5297695847c7e81a9d9c8b7995b9816a8cb2db4f68721eef22d44022043e8b9498a557cd2' 'f8f4e957241cc78fee4daf0e149de5b9529048ee1ca0140e2103e42187c715fbdd129ef40bf9c6c9c63a6e0' 'd72d478d121fa23c6078fa5049457000000010000060454455354ac0000012c01001976a91495b3e7b7559a' '2b1ffa6c337fc6aeff74e963796588ac0000000281001976a914e7b6fadc93b5553781d73ac908134c0bbc5' '14e6b88ac01065465737474740354535440200000218def416127d5800200d9741624399388d196e5e40959' '5e65a1803764ee078f34ebb2bda63ff6a63a001a2603c9a5947233dedb1160e9468e95563e76945ae58d829' '118e17e668dc900000053') tx3 = tx_or_block_from_bytes(data3) self.assertTrue(tx3.is_nft_creation_standard()) self.assertTrue(tx3.is_standard()) # NFT custom tx with 2 data script outputs tx4 = tx_or_block_from_bytes(data3) # Add new data script output, creating a token creation tx with 2 script data outputs # This should be rejected as a standard NFT new_output = TxOutput(1, tx4.outputs[0].script, 0) tx4.outputs = [tx4.outputs[0], new_output] + tx4.outputs[1:] self.assertFalse(tx4.is_nft_creation_standard()) self.assertFalse(tx4.is_standard()) def test_script_data(self): # Create NFT script data test data = 'nft data test' obj_data = DataScript(data) human = obj_data.to_human_readable() self.assertEqual(human['type'], 'Data') self.assertEqual(human['data'], data) script = obj_data.get_script() parsed_obj = DataScript.parse_script(script) self.assertEqual(parsed_obj.data, data) # Parse output script from real NFT data = bytes.fromhex('00020103000023117762f80fad7c28eea89e793036e8e5855038eee4deea02c53d7513e700006a473045022' '100eab17bbadcd5297695847c7e81a9d9c8b7995b9816a8cb2db4f68721eef22d44022043e8b9498a557cd2' 'f8f4e957241cc78fee4daf0e149de5b9529048ee1ca0140e2103e42187c715fbdd129ef40bf9c6c9c63a6e0' 'd72d478d121fa23c6078fa5049457000000010000060454455354ac0000012c01001976a91495b3e7b7559a' '2b1ffa6c337fc6aeff74e963796588ac0000000281001976a914e7b6fadc93b5553781d73ac908134c0bbc5' '14e6b88ac01065465737474740354535440200000218def416127d5800200d9741624399388d196e5e40959' '5e65a1803764ee078f34ebb2bda63ff6a63a001a2603c9a5947233dedb1160e9468e95563e76945ae58d829' '118e17e668dc900000053') tx = tx_or_block_from_bytes(data) nft_script = DataScript.parse_script(tx.outputs[0].script) self.assertEqual(nft_script.data, 'TEST') self.assertFalse(tx.outputs[0].is_standard_script()) self.assertTrue(tx.outputs[1].is_standard_script())

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0a1a98776353339978cb2ea4181cf30c450cea6e

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py

Python

pyang/transforms/__init__.py

JieZhang0822/pyang

961abbbbe4108de5ba2964569274ba9ea4aacd6a

[ "ISC" ]

466

2015-03-25T13:13:39.000Z

2022-03-29T08:30:07.000Z

pyang/transforms/__init__.py

JieZhang0822/pyang

961abbbbe4108de5ba2964569274ba9ea4aacd6a

[ "ISC" ]

657

2015-03-24T13:22:31.000Z

2022-03-31T10:39:52.000Z

pyang/transforms/__init__.py

JieZhang0822/pyang

961abbbbe4108de5ba2964569274ba9ea4aacd6a

[ "ISC" ]

347

2015-03-19T12:05:17.000Z

2022-03-31T12:29:58.000Z

"""Package pyang.transforms: transform plugins for YANG. Modules: * edit: YANG edit transform plugin """

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4

0a1f7cb8f9bb2926ba8b6fc922a9b4a6e6e2cce6

202

py

Python

Curso-em-video/Aula_12.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

Curso-em-video/Aula_12.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

Curso-em-video/Aula_12.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

#faça um algoritimo que leia um preço de um produto e mostre seu novo preço, com desconto de 5% n = int(input('Qual o valor do produto?:')) print('O valor do produto descontado 5% é:',n * 0.05,'Reais')

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3.666667

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null

0

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4

0a23696bb3facf06fc5ad75415e403029791c27b

63

py

Python

PythonBasics/Python_In-BuiltModules/ExecuteModule.py

abhinavsatheesh/Python

9ae1a7a040522f5989c34f17d2d0764b301fa23a

[ "Apache-2.0" ]

null

PythonBasics/Python_In-BuiltModules/ExecuteModule.py

abhinavsatheesh/Python

9ae1a7a040522f5989c34f17d2d0764b301fa23a

[ "Apache-2.0" ]

null

PythonBasics/Python_In-BuiltModules/ExecuteModule.py

abhinavsatheesh/Python

9ae1a7a040522f5989c34f17d2d0764b301fa23a

[ "Apache-2.0" ]

null

my_desert='''print ('Dosa') print ('Idli')''' exec(my_desert)

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1

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1

0

null

0

1

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4

0a249eb68208edc458bd77de552a26b53c49a4a3

366

py

Python

entities/token_representation.py

ktodorov/historical-ocr

d4d7bf0addf5ff98b7182c00ff716e79c97e050e

[ "MIT" ]

1

2021-07-29T09:27:06.000Z

entities/token_representation.py

ktodorov/historical-ocr

d4d7bf0addf5ff98b7182c00ff716e79c97e050e

[ "MIT" ]

5

2021-08-12T13:38:54.000Z

2021-08-30T08:55:34.000Z

src/entities/token_representation.py

budh333/UnSilence_VOC

3ba8f302f82df2d512d453c6b76dffb50d4f64db

[ "MIT" ]

null

from typing import List class TokenRepresentation: def __init__(self, token: str, vocabulary_ids: List[List[int]]): self._token = token self._vocabulary_ids = vocabulary_ids @property def token(self) -> str: return self._token @property def vocabulary_ids(self) -> List[List[int]]: return self._vocabulary_ids

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null

1

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1

0

1

0

4

0a2586d7e1874e8ca79ba94674abca86141dfa90

5,066

py

Python

backend/config/settings/base.py

code-for-canada/django-nginx-reactjs-docker

12b2f79872273bb0ac4736d709b8e0904bc54258

[ "MIT" ]

3

2019-01-04T10:53:03.000Z

2020-01-29T16:20:38.000Z

backend/config/settings/base.py

code-for-canada/django-nginx-reactjs-docker

12b2f79872273bb0ac4736d709b8e0904bc54258

[ "MIT" ]

215

2019-01-04T11:34:03.000Z

2019-07-22T13:36:18.000Z

backend/config/settings/base.py

code-for-canada/django-nginx-reactjs-docker

12b2f79872273bb0ac4736d709b8e0904bc54258

[ "MIT" ]

8

2019-01-08T22:45:11.000Z

2020-01-29T16:20:40.000Z

""" Django settings for backend project. Generated by 'django-admin startproject' using Django 2.1.4. Since the start of the project, we have upgraded the version to 2.1.7 For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os import datetime # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = "%qviowlmp*kitbai+y!%1y=jdl_o3_#7+_ud6l9uwn$$=bxt1y" ALLOWED_HOSTS = "*" CORS_ORIGIN_ALLOW_ALL = True # Application definition INSTALLED_APPS = [ # Personal, "custom_models", # BASE "django.contrib.admin", "django.contrib.auth", "django.contrib.contenttypes", "django.contrib.sessions", "django.contrib.messages", "django.contrib.staticfiles", # Requirements "corsheaders", "rest_framework", "djoser", "rest_framework_swagger", "rest_framework.authtoken", ] MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "django.contrib.sessions.middleware.SessionMiddleware", "django.middleware.common.CommonMiddleware", "django.middleware.csrf.CsrfViewMiddleware", "django.contrib.auth.middleware.AuthenticationMiddleware", "django.contrib.messages.middleware.MessageMiddleware", "django.middleware.clickjacking.XFrameOptionsMiddleware", "corsheaders.middleware.CorsMiddleware", ] ROOT_URLCONF = "config.urls" WSGI_APPLICATION = "config.wsgi.application" TEMPLATES = [ { "BACKEND": "django.template.backends.django.DjangoTemplates", "DIRS": [], "APP_DIRS": True, "OPTIONS": { "context_processors": [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ] }, } ] # Password validation # https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator" }, {"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator"}, {"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator"}, {"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator"}, ] REST_FRAMEWORK = { "DEFAULT_PERMISSION_CLASSES": ( "rest_framework.permissions.IsAuthenticatedOrReadOnly", ), "DEFAULT_AUTHENTICATION_CLASSES": ( "rest_framework.authentication.SessionAuthentication", "rest_framework.authentication.BasicAuthentication", "rest_framework_jwt.authentication.JSONWebTokenAuthentication", ), } LANGUAGE_CODE = "en-us" TIME_ZONE = "Canada/Eastern" USE_I18N = True USE_L10N = True USE_TZ = True CORS_ALLOW_HEADERS = [ "accept", "accept-encoding", "authorization", "content-disposition", "content-type", "origin", "user-agent", "x-csrftoken", "x-requested-with", ] # Allow the user to log in by email or username AUTH_USER_MODEL = "custom_models.User" # JWT settings for authentication JWT_AUTH = { "JWT_EXPIRATION_DELTA": datetime.timedelta(hours=1), "JWT_ALLOW_REFRESH": True, } SIMPLE_JWT = {"AUTH_HEADER_TYPES": ("JWT",)} # Swagger settings for documentation SWAGGER_SETTINGS = { "LOGIN_URL": "rest_framework:login", "LOGOUT_URL": "rest_framework:logout", } # Djoser settings for Rest Login (https://djoser.readthedocs.io/en/latest/settings.html) DJOSER = { "SET_PASSWORD_RETYPE": True, "SEND_ACTIVATION_EMAIL": False, "PERMISSIONS": { # Admin Only "activation": ["rest_framework.permissions.IsAdminUser"], # "set_username": ["rest_framework.permissions.IsAdminUser"], "user_delete": ["rest_framework.permissions.IsAdminUser"], "user_list": ["rest_framework.permissions.IsAdminUser"], "password_reset": ["rest_framework.permissions.IsAdminUser"], # Authenticated "token_destroy": ["rest_framework.permissions.IsAuthenticated"], # Current User or Admin "user": ["djoser.permissions.CurrentUserOrAdmin"], "set_password": ["djoser.permissions.CurrentUserOrAdmin"], # Any "password_reset_confirm": ["rest_framework.permissions.AllowAny"], "user_create": ["rest_framework.permissions.AllowAny"], "token_create": ["rest_framework.permissions.AllowAny"], }, }

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Python

problem0749.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

problem0749.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

problem0749.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

########################### # # #749 Near Power Sums - Project Euler # https://projecteuler.net/problem=749 # # Code by Kevin Marciniak # ###########################

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py

Python

riemann_keys/tests/bip39_test_vectors.py

summa-tx/riemann-keys

ea4213bb542dbd12d4196a0254b0ce2ebae7cb5a

[ "Apache-2.0", "MIT" ]

8

2019-03-01T17:51:23.000Z

2020-08-03T15:55:31.000Z

riemann_keys/tests/bip39_test_vectors.py

summa-tx/riemann-keys

ea4213bb542dbd12d4196a0254b0ce2ebae7cb5a

[ "Apache-2.0", "MIT" ]

8

2019-02-26T20:20:29.000Z

2021-02-02T22:06:16.000Z

riemann_keys/tests/bip39_test_vectors.py

summa-tx/riemann-keys

ea4213bb542dbd12d4196a0254b0ce2ebae7cb5a

[ "Apache-2.0", "MIT" ]

null

# flake8: noqa # https://github.com/trezor/python-mnemonic/blob/master/vectors.json trezor_vectors = { "english": [ { "id": 0, "entropy": "00000000000000000000000000000000", "mnemonic": "abandon abandon abandon abandon abandon abandon abandon abandon abandon abandon abandon about", "salt": "TREZOR", "binary": "00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 00000000000 0000000", "checksum": "0011", "seed": "c55257c360c07c72029aebc1b53c05ed0362ada38ead3e3e9efa3708e53495531f09a6987599d18264c1e1c92f2cf141630c7a3c4ab7c81b2f001698e7463b04", "root": { "private_key": "cbedc75b0d6412c85c79bc13875112ef912fd1e756631b5a00330866f22ff184", "public_key": "02f632717d78bf73e74aa8461e2e782532abae4eed5110241025afb59ebfd3d2fd", "xpub": "xpub661MyMwAqRbcGB88KaFbLGiYAat55APKhtWg4uYMkXAmfuSTbq2QYsn9sKJCj1YqZPafsboef4h4YbXXhNhPwMbkHTpkf3zLhx7HvFw1NDy", "xpriv": "xprv9s21ZrQH143K3h3fDYiay8mocZ3afhfULfb5GX8kCBdno77K4HiA15Tg23wpbeF1pLfs1c5SPmYHrEpTuuRhxMwvKDwqdKiGJS9XFKzUsAF", "parent_fingerprint": "00", "fingerprint": "b4e3f5ed", "depth": 0, "index": 0, "chain_code": "a3fa8c983223306de0f0f65e74ebb1e98aba751633bf91d5fb56529aa5c132c1" }, "derived_node": { "path": "m/7'/13'/8'/65'/6/44/16/18'/7", "public_key": "026381791f9bf7ec99538a408d61c911737a30488c78004feb34a73295776c2f17", "private_key": "b4749323ef65b3898c8cf3f9978fa437c9113a3a91b26320a1047032ab9eaf47", "xpub": "xpub6Qo94BJ44WgahcCbte4pYt2UU5AGBrkt4PyKWzG3KA9AR1EbERqbTo69Wtc4cXnB2DiuFcxwEDRNdQh1GXwF1jqHrwZS3KRS6X7eaceREJd", "xpriv": "xprvABonefmAE98HV888ncXpBk5jv3KmnQ32hB3iibrRkpcBYCuSgtXLuzmffeBwvMLcouHL2WdJEZiiXJDB6cMDKytYPy37Em7BNCytyBhJd5A", "parent_fingerprint": "fc4ca6e2", "fingerprint": "264f90ed", "depth": 9, "index": 7, "chain_code": "3c063c0a452d20fba1b1cc476a886def7096116dd0cb8400d90f6f55507bcca6" } } ] } # generated with: https://iancoleman.io/bip39/#english test_vectors = { "english": [ { "id": 0, "entropy": "a4e3fc4c0161698a22707cfbf30f7f83", "mnemonic": "pilot cable basic actress bird shallow mean auto winner observe that all", "salt": None, "binary": "10100100111 00011111111 00010011000 00000010110 00010110100 11000101000 10001001110 00001111100 11111011111 10011000011 11011111111 0000011", "checksum": "0011", "seed": "af44c7ad86ba0a5f46d4c1e785c846db14e0f3d62b69c2ab7efa012a9c9155c024975d6897e36fe9e9e6f0bde55fdf325ff308914ed1b316da0f755f9dd7347d", "root": { "private_key": "c6796958d07afe0af1ba9a11da2b7a22d6226b4ff7ff5324c7c876cfc1ea0f1c", "public_key": "029cfe11e5f33a2601083ff5e29d9b7f134f5edc6b7636674a7286ecf6d23804df", "xpub": "xpub661MyMwAqRbcFXwuU8c1uEfmER2GW8A7XfaR9Cw41RCGr1xmr4WaLdU9cGPvcJXaaNYLFuu9bMimhKmGgaFja9BxcBAo98Eim1UuUu1dXAn", "xpriv": "xprv9s21ZrQH143K33sSN751Y6j2gPBn6fSGASepLpXST5fHyDddJXCKnq9fm1gRmHk4CPPcEF9gBmJvPBf74ExYM6Ybe6zwA7HfX8dQkRFY9S4", "parent_fingerprint": "00", "fingerprint": "f3ac0f3f", "depth": 0, "index": 0, "chain_code": "6399431d3f454a4acbe0f1cbb2d9a392a43dbea34e7fea952bdda675adde6e6e" }, "derived_node": { "path": "m/55'/16'/34'/20/19'/97/21'/88'", "public_key": "039b8a22c4fb43cb4b52596fc2050357dd9771950d6b6881c6e4b2e78e1943f51d", "private_key": "258dc521c0581a788a2f08fd64be0f4d29c0c7384031960e6b6986526bcb039f", "xpub": "xpub6NjKMZDHrzmR8m4poa48Xzj3qeS32QQBbfXffSK5N4F6SLE35fFrBT9qECJ77LMic44hNnWTR86qVjE8r4DsMSNVztB1vyoYNvhzrg91zXV", "xpriv": "xprvA9jxx3gQ2dD7vGzMhYX8ArnKHcbYcwgLESc4s3uToii7ZXttY7wbdeqMNtRdhhepm7cEKKparnDqeigAPgj7KTj7Gw5ZGUKCRBYbkd3sdGo", "parent_fingerprint": "e33b22ce", "fingerprint": "93195471", "depth": 8, "index": 2147483736, "chain_code": "18eb1b59d8a529c9fdbfbce7f6cb03cc9b1bd80b2fc5abee1944b32a32c136f8" } }, { "id": 1, "entropy": "8cfc94f3846c43fa893b4950155de2369772c91e", "mnemonic": "mind tool diagram angle service wool ceiling hard exotic priority joy honey jaguar goose kit", "salt": None, "binary": "10001100111 11100100101 00111100111 00001000110 11000100001 11111101010 00100100111 01101001001 01010000000 10101010111 01111000100 01101101001 01110111001 01100100100 011110", "checksum": "10111", "seed": "82555df2fd8c76fca417c83fc7ed0552a0310299eed41d3a45cf49e1ac056e21126e64d988052b9dbc0e04bd6b3580c51ab6a4ec5a62c5dba2039bd372e7d137", "root": { "private_key": "9fee59092ebbedc782277cf75bc85f9db0ea559818eb20de865c4897eb2144f4", "public_key": "0357ffdd29d20d72d2061c154353835b9cd34016d6f63755a04d70a7033e2919b3", "xpub": "xpub661MyMwAqRbcFyPp6zb6ZPcsuqVkvUm2Y61Gn7cRrkp2xxCD8ot9tgJQDKG6R6DWopMQrVoUhMChoCZcS4PKSFFx5AoNPAGFizikrRVTmpn", "xpriv": "xprv9s21ZrQH143K3VKLzy46CFg9MofGX23BAs5fyjCpJRH469s4bGZuLsyvN2qGCAYoJYmHyT6XVVkhm7DHGyHSyYPintmfgxYrwKHzCgCthir", "parent_fingerprint": "00", "fingerprint": "94db54c0", "depth": 0, "index": 0, "chain_code": "8faa80cab7372c9e12e2f54a445e434b5d2cb310bc92d7e304b914360a89278a" }, "derived_node": { "path": "m/96'/2'/10/81'/60'/90'", "public_key": "0229d3838c6703a16aa9e7f8604dd308f36980ca891783f9e46dcc8d0a7c7da5ed", "private_key": "6f7ae238af855eb9e0cee63333a4c05ef4c24a54a6951dcdf298ea13c85e2050", "xpub": "xpub6JuoVny9rzjMruCwjgP66H9bLt97ow3jgg6Sjt5Eny85LQKoQzA6E9xhmFcVoQR2PoYnTTDMcXnyo1MZPHeW4PFBxaN6VitafnfA3csorkr", "xpriv": "xprvA5vT6HSG2dB4eR8Uder5j9CrnrJdQUKtKTAqwVfdEdb6TbzesSqqgMeDv17Qa6M5jxRcbhDTTfzzBxuJqMURrsXnRXNJUwkRsqNmTHEs6Qx", "parent_fingerprint": "db9f3893", "fingerprint": "11b20e3d", "depth": 6, "index": 2147483738, "chain_code": "91f4c0395a78095692132cb1f632834ab821c373057ccdb5637f7f9f34837fdd" } }, { "id": 2, "entropy": "15bf57143a38579300d9f4cbd65adaebe01398fbeb8f44f0", "mnemonic": "between wide shallow inner lyrics sister address direct slim ready repeat style abuse small use impose eager liberty", "salt": None, "binary": "00010101101 11111010101 11000101000 01110100011 10000101011 11001001100 00000011011 00111110100 11001011110 10110010110 10110110101 11010111110 00000001001 11001100011 11101111101 01110001111 01000100111 10000", "checksum": "000111", "seed": "db6b9728bce174c1c14976415cfe06d63509e127f38ba265cf672315b5ed15953828f0fe5e9922654c07d3284f7ac11f814b564e87f94210d3bcc153ec6f698b", "root": { "private_key": "3a4014ab104dc69ba3820e3c1e9740998dfdd0b912f1f83268c639bac5fa64f0", "public_key": "03230ac7166adf9664a911a4d4785a60e79e983f950b99fe9dc228dd1438c0aa36", "xpub": "xpub661MyMwAqRbcFtZZGjnmsUKVffkBYUraocCexn2maSi1keXzdsaam5fwHRrwFaLNe1dCjqQQMgcGSQfaiD5BFuDbvy3cdkWrq3939hHHns9", "xpriv": "xprv9s21ZrQH143K3QV6AiFmWLNm7duh928jSPH4APdA27B2srCr6LGLDHMTS94eTRRBfnoLErXZEXbkAHpybohWnb4tp8sv3cSK7nJKtpcwJ4U", "parent_fingerprint": "00", "fingerprint": "b46fe1d0", "depth": 0, "index": 0, "chain_code": "874c576e48fdc3ebf6f0822b4d18498d0a545d6684dfd683ef215fd0273870e8" }, "derived_node": { "path": "m/87/19/76/25'/96'", "public_key": "03540f45d9145cd5c9bdbf67b674df050255ac19380b0b6f3cc57dff99e17b836a", "private_key": "c3c055a5154dafa361e82d585393d82a8bf3f82cbe96f7c4e2e758de7ac90a0e", "xpub": "xpub6FwAvDCcTWuqD2hVZHoi3WhtWZbf2XBeo36HRFwCLLk85DxzvHau5dmx8o7VKsdrv98yigghdX6PkgeGvoe4LZ39Hoex2ZhGtJ53W4Tdnmn", "xpriv": "xprvA2wpWhfid9MXzYd2TGGhgNm9xXmAd4ToRpAgcsXan1D9CRdrNkGeXqTUHWzAimdLSuZCMCqMhu545mtYP4mj13q5RWDbuyBHBbwMeaPcAyU", "parent_fingerprint": "46ae4850", "fingerprint": "94d1cc4b", "depth": 5, "index": 2147483744, "chain_code": "309cff07ed70166ebe30ec31ee7a4c261fa9dfa6bdae249d498a84f4d224d472" } }, { "id": 3, "entropy": "a05a7afb69e2cd81c838a7d1ad4132d06bef59042b0388512881b61a", "mnemonic": "park stable salute stable coast science can belt spider head erosion patch same prosper awful gather marriage matter call history pluck", "salt": None, "binary": "10100000010 11010011110 10111110110 11010011110 00101100110 11000000111 00100000111 00010100111 11010001101 01101010000 01001100101 10100000110 10111110111 10101100100 00010000101 01100000011 10001000010 10001001010 00100000011 01101100001 1010", "checksum": "0110101", "seed": "1929655fd266457fc620dd471f424b8351999338c837db07ec362dab19f11dbb2c2aff18d0a063a9d91239f81181d0fcebe327c37803b45012a8163fe3b716b6", "root": { "private_key": "a01b94f79e8c29ee63b8c27e40ef63f1cfe8f4cac870d0de5d20e889b1d8a13a", "public_key": "031225fa5e457da949ab1021931887131c7a53c06df0fce4d6a3dd5819aa5776e0", "xpub": "xpub661MyMwAqRbcFJsyHbfuQsjnh3qjSfXkxkEXa5JHoSbyU7UNoiXU3FXfcKUbdFqC5cyxexpUAYPZP6K9AU9C4FjfuiX743buQgF5k7BwUND", "xpriv": "xprv9s21ZrQH143K2poWBa8u3jo4921F3CoubXJvmgtgF74zbK9EGBDDVTDBm3acAnd1cvowkj1pvi7PK3Ab6XrwYfJPWmQtCp5kor3tbqkreJ6", "parent_fingerprint": "00", "fingerprint": "056dd4ec", "depth": 0, "index": 0, "chain_code": "4cf7eb64f359de9cdb7f2c05baf3267a2f1f96e1fc68333c60e92ff3dbbf0b78" }, "derived_node": { "path": "m/85'/15/76", "public_key": "02029099fda4c09fa365c85cf785fb790270125bc0d9a584e1707ca2d85209eab2", "private_key": "921255b836b8215d67d18949b217f3b3edf77cc0d185d37ff85da85d6ca0657e", "xpub": 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Python

cosmos/ingestion/ingest/process/detection/src/torch_model/model/backbone/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

30

2019-03-14T08:24:34.000Z

2022-03-09T06:05:44.000Z

cosmos/ingestion/ingest/process/detection/src/torch_model/model/backbone/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

78

2019-02-07T22:14:48.000Z

2022-03-09T05:59:18.000Z

cosmos/ingestion/ingest/process/detection/src/torch_model/model/backbone/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

11

2019-03-02T01:20:06.000Z

2022-03-25T07:25:46.000Z

""" Backbone module """

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py

Python

99-Python_Miscellaneous/test_syslog.py

spendyala/deeplearning-docker

1dcd03e2e65cb1897daf9dfffeab018f97fc0780

[ "MIT" ]

null

99-Python_Miscellaneous/test_syslog.py

spendyala/deeplearning-docker

1dcd03e2e65cb1897daf9dfffeab018f97fc0780

[ "MIT" ]

1

2021-02-02T22:47:32.000Z

99-Python_Miscellaneous/test_syslog.py

spendyala/deeplearning-docker

1dcd03e2e65cb1897daf9dfffeab018f97fc0780

[ "MIT" ]

null

import logging import logging.config import logging.handlers logger = logging.getLogger() handler = logging.handlers.SysLogHandler(address='/var/run/syslog') logger.addHandler(handler) logger.info('Test')

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storage/__init__.py

LordMudaID/musikvideostream

1e1ed8afd7a2308a09db19b323943397169c02e5

[ "MIT" ]

null

storage/__init__.py

LordMudaID/musikvideostream

1e1ed8afd7a2308a09db19b323943397169c02e5

[ "MIT" ]

null

storage/__init__.py

LordMudaID/musikvideostream

1e1ed8afd7a2308a09db19b323943397169c02e5

[ "MIT" ]

null

""" temporary image storage """

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py

Python

src/timer/model/thread_item.py

jakob-bagterp/timer_for_python

351d0fa1336cfb001f7813225d46383f82f34a1e

[ "MIT" ]

1

2021-12-06T18:04:26.000Z

src/timer/model/thread_item.py

jakob-bagterp/timer_for_python

351d0fa1336cfb001f7813225d46383f82f34a1e

[ "MIT" ]

null

src/timer/model/thread_item.py

jakob-bagterp/timer_for_python

351d0fa1336cfb001f7813225d46383f82f34a1e

[ "MIT" ]

null

from dataclasses import dataclass @dataclass(frozen = True) class ThreadItem: """Class to define a thread's name, start time, and decimals.""" name: str start_time: int decimals: int

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Python

playground/config.py

rajat4665/thenewboston-python

df842c793fe7bfd8731fd8746abf25747c9e569e

[ "MIT" ]

null

playground/config.py

rajat4665/thenewboston-python

df842c793fe7bfd8731fd8746abf25747c9e569e

[ "MIT" ]

3

2021-03-30T14:03:41.000Z

2021-09-22T19:30:31.000Z

playground/config.py

rajat4665/thenewboston-python

df842c793fe7bfd8731fd8746abf25747c9e569e

[ "MIT" ]

null

import os BASE_DIR = os.path.dirname(os.path.abspath(__file__)) BLOCKS_DIR = os.path.join(BASE_DIR, 'blocks') SIGNED_REQUESTS_DIR = os.path.join(BASE_DIR, 'signed_requests') SIGNING_KEY_DIR = os.path.join(BASE_DIR, 'signing_keys') # Account numbers BANK_ACCOUNT_NUMBER = '5e12967707909e62b2bb2036c209085a784fabbc3deccefee70052b6181c8ed8' BANK_NID_ACCOUNT_NUMBER = 'd5356888dc9303e44ce52b1e06c3165a7759b9df1e6a6dfbd33ee1c3df1ab4d1' CV_ACCOUNT_NUMBER = '4d2ec91f37bc553bc538e91195669b666e26b2ea3e4e31507e38102a758d4f86' CV_NID_ACCOUNT_NUMBER = '59479a31c3b91d96bb7a0b3e07f18d4bf301f1bb0bde05f8d36d9611dcbe7cbf' BUCKY_ACCOUNT_NUMBER = '484b3176c63d5f37d808404af1a12c4b9649cd6f6769f35bdf5a816133623fbc' CHRISTOPHER_ACCOUNT_NUMBER = 'a29baa6ba36f6db707f8f8dacfa82d5e8a28fa616e8cc96cf6d7790f551d79f2' JUSTIN_ACCOUNT_NUMBER = '3214108063cda7b259782c57ff8cec343ad2f1ad35baf38c3503db5cf6f3b2f7' KRISTY_ACCOUNT_NUMBER = 'db1a9ac3c356ab744ab4ad5256bb86c2f6dfaa7c1aece1f026a08dbd8c7178f2' TREASURY_ACCOUNT_NUMBER = '0cdd4ba04456ca169baca3d66eace869520c62fe84421329086e03d91a68acdb' PV_ACCOUNT_NUMBER = 'ad1f8845c6a1abb6011a2a434a079a087c460657aad54329a84b406dce8bf314' PV_NID_ACCOUNT_NUMBER = '3afdf37573f1a511def0bd85553404b7091a76bcd79cdcebba1310527b167521' # Bank fees BANK_TX_FEE = 1 # Validator fees PV_TX_FEE = 4

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py

Python

src/validate_trace.py

jacoblee628/systemsproject

16444b15c4d589a765c27584995673f9d897ab75

[ "MIT" ]

null

src/validate_trace.py

jacoblee628/systemsproject

16444b15c4d589a765c27584995673f9d897ab75

[ "MIT" ]

null

src/validate_trace.py

jacoblee628/systemsproject

16444b15c4d589a765c27584995673f9d897ab75

[ "MIT" ]

null

import re import numpy as np import pandas as pd import read_write as rw def validate_trace(trace, obs_srs_file_path, active_prd_path, prd_prefix="US", srs_prefix="TC"): # Load lists of obsolete srs and active prd obs_srs = pd.read_csv(obs_srs_file_path) obs_srs_list = obs_srs["Formatted ID"].unique() active_prd = pd.read_excel(active_prd_path) active_prd_list = active_prd["ID"].unique() # Gather all the errors into this list of dfs invalid_dfs = [] # Run the tests trace, invalid = _check_prd_has_srs(trace, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) trace, invalid = _check_srs_has_test(trace, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) trace, invalid = _check_srs_has_prd(trace, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) trace, invalid = _check_prd_ref_by_srs_exists(trace, active_prd_list, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) trace, invalid = _check_srs_exists(trace, obs_srs_list, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) trace, invalid = _check_prd_exists(trace, active_prd_list, prd_prefix, srs_prefix) invalid_dfs.extend(invalid) return trace, invalid_dfs def _check_prd_has_srs(trace, prd_prefix, srs_prefix): """check whether each PRD has SRS invalid data frame will contain rows where PRDs do not have SRS Args: trace (pd.DataFrame): trace matrix prd_prefix (str): string that PRD starts with srs_prefix (str): string that SRS starts with Returns: valid_df (pd.DataFrame): data frame with all valid rows of trace matrix invalid_df (pd.DataFrame): data frame with all invalid rows of trace matrix """ # Get rid of n/a values valid_df = trace.loc[-trace['PRD'].str.startswith(prd_prefix)] trace = trace.loc[trace['PRD'].str.startswith(prd_prefix)] for val in trace['SRS ID']: val=str(val) if not val.startswith(srs_prefix): val = np.nan # Get number of unique SRS for each PRD group = trace.groupby('PRD')['SRS ID'].nunique() num_unique = pd.DataFrame({'PRD':group.index, 'SRS ID':group.values}) # Get df of rows where PRD exists but SRS does not invalid = num_unique.loc[num_unique["SRS ID"] == 0] invalid = pd.DataFrame(invalid, columns=['PRD', 'SRS ID']) invalid_df = pd.DataFrame() for val in invalid['PRD']: invalid_df = invalid_df.append(trace[trace['PRD'] == val]) invalid_df = invalid_df.sort_index() valid = num_unique.loc[num_unique["SRS ID"] != 0] valid = pd.DataFrame(valid, columns=['PRD', 'SRS ID']) for val in valid['PRD']: valid_df = valid_df.append(trace[trace['PRD'] == val]) valid_df = valid_df.sort_index() invalid_df.insert(0, "Error:", "PRD does not have SRS") return valid_df, invalid_df def _check_srs_has_test(trace, prd_prefix, srs_prefix): """check whether each SRS has a test invalid data frame will contain rows where SRSs do not have a test Args: trace (DataFrame): trace matrix prd_prefix (string): string that PRD starts with srs_prefix (string): string that SRS starts with Returns: valid_df (DataFrame): data frame with all valid rows of trace matrix invalid_df (DataFrame): data frame with all invalid rows of trace matrix """ # Get rid of n/a values valid_df = trace.loc[-trace['SRS ID'].str.startswith(prd_prefix)] trace = trace.loc[trace['SRS ID'].str.startswith(srs_prefix)] for val in trace['Test Name']: val = str(val) if not len(val) > 5: val = np.nan # Get number of unique tests for each SRS group = trace.groupby('SRS ID')['Test Name'].nunique() num_unique = pd.DataFrame({'SRS ID':group.index, 'Test Name':group.values}) # Get df of rows where SRS exists but test does not invalid = num_unique.loc[num_unique["Test Name"] == 0] invalid = pd.DataFrame(invalid, columns=['SRS ID', 'Test Name']) invalid_df = pd.DataFrame() for val in invalid['SRS ID']: invalid_df = invalid_df.append(trace[trace['SRS ID'] == val]) invalid_df = invalid_df.sort_index() # create valid df valid = num_unique.loc[num_unique["Test Name"] != 0] valid = pd.DataFrame(valid, columns=['SRS ID', 'Test Name']) for val in valid['SRS ID']: valid_df = valid_df.append(trace[trace['SRS ID'] == val]) valid_df = valid_df.sort_index() invalid_df.insert(0, "Error:", "SRS does not have test") return valid_df, invalid_df def _check_srs_has_prd(trace, prd_prefix, srs_prefix): """check whether each SRS has PRD invalid rows will contain rows where SRSs do not have a PRD Args: trace (DataFrame): trace matrix prd_prefix (string): string that PRD starts with srs_prefix (string): string that SRS starts with Returns: valid_df (DataFrame): data frame with all valid rows of trace matrix invalid_df (DataFrame): data frame with all invalid rows of trace matrix """ # Get rid of n/a values valid_df = trace.loc[-trace['SRS ID'].str.startswith(prd_prefix)] trace = trace.loc[trace['SRS ID'].str.startswith(srs_prefix)] for val in trace['PRD']: val=str(val) if not val.startswith(prd_prefix): val = np.nan # Get number of unique PRD for each SRS group = trace.groupby('SRS ID')['PRD'].nunique() num_unique = pd.DataFrame({'SRS ID':group.index, 'PRD':group.values}) # Get df of rows where SRS exists but PRD does not invalid = num_unique.loc[num_unique["PRD"] == 0] invalid = pd.DataFrame(invalid, columns=['SRS ID', 'PRD']) invalid_df = pd.DataFrame() for val in invalid['SRS ID']: invalid_df = invalid_df.append(trace[trace['SRS ID'] == val]) invalid_df = invalid_df.sort_index() # Create valid df valid = num_unique.loc[num_unique["PRD"] != 0] valid = pd.DataFrame(valid, columns=['SRS ID', 'PRD']) for val in valid['SRS ID']: valid_df = valid_df.append(trace[trace['SRS ID'] == val]) valid_df = valid_df.sort_index() invalid_df.insert(0, "Error:", "SRS does not have PRD") return valid_df, invalid_df def _check_prd_ref_by_srs_exists(trace, active_prd_list, prd_prefix, srs_prefix): """check whether all PRD referenced by SRS exist invalid rows will contain rows where PRDs referenced by SRSs do not exist Args: trace (DataFrame): trace matrix active_prd_list (list): list of PRDs that are active prd_prefix (string): string that PRD starts with srs_prefix (string): string that SRS starts with Returns: valid_df (DataFrame): data frame with all valid rows of trace matrix invalid_df (DataFrame): data frame with all invalid rows of trace matrix """ trace["PRD_clean"] = trace["PRD"] # function to clean PRD column def _get_req_list(string, prefix): string = string.replace(",", " ") test_list = string.split() req_list = [] for val in test_list: if val.startswith(prefix) & val[-1].isdigit(): req_list.append(val) return req_list trace["PRD_clean"] = trace["PRD_clean"].apply(lambda row: get_req_list(row, prd_prefix)) # Valid if PRDs are all in active list trace["valid"] = trace["PRD_clean"].apply(lambda lst: all((True for x in lst if x in active_prd_list))) invalid_df = trace[(trace['valid'] == False) & (trace['PRD_clean'].str.len() != 0)] invalid_df = invalid_df.drop(columns=['PRD_clean', 'valid']) # create valid df by subtracting invalid from trace if (len(invalid_df.index) == 0): valid_df = trace valid_df = valid_df.drop(columns=['PRD_clean', 'valid']) else: valid_df = trace.merge(invalid_df, how='left', indicator=True) valid_df = valid_df[valid_df['_merge'] == 'left_only'] valid_df = valid_df.drop(columns=['_merge', 'PRD_clean', 'valid']) valid_df = valid_df.sort_index() invalid_df.insert(0, "Error:", "PRD referenced by SRS does not exist") return valid_df, invalid_df def _check_srs_exists(trace, obs_srs_list, prd_prefix, srs_prefix): """check whether all SRSs referenced by tests exist invalid rows will contain rows where SRSs referenced by tests do not exist Args: trace (DataFrame): trace matrix obs_srs_list (list): list of SRS that are obsolete prd_prefix (string): string that PRD starts with srs_prefix (string): string that SRS starts with Returns: valid_df (DataFrame): data frame with all valid rows of trace matrix invalid_df (DataFrame): data frame with all invalid rows of trace matrix """ trace["srs_list"] = trace["Test Name"] # function to clean column and put into list def _get_req_list(string, prefix): test_list = string.split() req_list = [] for val in test_list: if val.startswith(prefix): req_list.append(val) return req_list trace["srs_list"] = trace["Test Name"].apply(lambda row: get_req_list(row, srs_prefix)) # Valid if SRS are all not in obsolete list trace["invalid"] = trace["srs_list"].apply(lambda lst: all((True for x in lst if x in obs_srs_list))) # Create valid and invalid dfs valid_df = trace[trace['invalid'] == False] valid_df = valid_df.drop(columns=['srs_list', 'invalid']) invalid_df = trace[trace['invalid'] == True] invalid_df = invalid_df.drop(columns=['srs_list', 'invalid']) invalid_df.insert(0, "Error:", "Test references obsolete SRS") return valid_df, invalid_df def _check_prd_exists(trace, active_prd_list, prd_prefix, srs_prefix): """check whether all PRD referenced by tests exist invalid rows will contain rows where PRDs referenced by tests are not active Args: trace (DataFrame): trace matrix active_prd_list (list): list of PRDs that are active prd_prefix (string): string that PRD starts with srs_prefix (string): string that SRS starts with Returns: valid_df (DataFrame): data frame with all valid rows of trace matrix invalid_df (DataFrame): data frame with all invalid rows of trace matrix """ trace["prd_list"] = trace["Test Name"] # function to clean column and put into list def _get_req_list(string, prefix): test_list = string.split() req_list = [] for val in test_list: if val.startswith(prefix) & val[-1].isdigit(): req_list.append(val) return req_list trace["prd_list"] = trace["prd_list"].apply(lambda row: get_req_list(row, prd_prefix)) # Valid if PRD are all in active list trace["valid"] = trace["prd_list"].apply(lambda lst: all((True for x in lst if x in active_prd_list))) # Create invalid and valid dfs invalid_df = trace[(trace['valid'] == False) & (trace['prd_list'].str.len() != 0)] invalid_df = invalid_df.drop(columns=['prd_list', 'valid']) if (len(invalid_df.index) == 0): valid_df = trace valid_df = valid_df.drop(columns=['prd_list', 'valid']) else: valid_df = trace.merge(invalid_df, how='left', indicator=True) valid_df = valid_df[valid_df['_merge'] == 'left_only'] valid_df = valid_df.drop(columns=['_merge', 'prd_list', 'valid']) invalid_df.insert(0, "Error:", "PRD referenced by test does not exist") return valid_df, invalid_df

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0

null

0

1

0

null

0

4

6ad25091226fb6483b1ef6d3b2d0e4eefc973377

116

py

Python

Python/checkoddnum.py

chathu1996/hacktoberfest2020

eaf64ac051709984cde916259e90cb24213b5c2f

[ "MIT" ]

71

2020-10-06T05:53:59.000Z

2021-11-27T03:14:42.000Z

Python/checkoddnum.py

chathu1996/hacktoberfest2020

eaf64ac051709984cde916259e90cb24213b5c2f

[ "MIT" ]

92

2020-10-05T19:18:14.000Z

2021-10-09T04:35:16.000Z

Python/checkoddnum.py

chathu1996/hacktoberfest2020

eaf64ac051709984cde916259e90cb24213b5c2f

[ "MIT" ]

572

2020-10-05T20:11:28.000Z

2021-10-10T16:28:29.000Z

a=int(input("Enter a number")) if a%2==0: print(a,"is an Even Number") else: print(a,"is an Odd Number")

19.333333

34

0.594828

23

116

3

0.608696

0.173913

0.231884

0.289855

0

0.021978

0.215517

116

5

35

23.2

0.736264

0

0.405172

0

1

0

false

0

0.4

1

0

null

0

1

0

1

0

null

0

4

0a76b37bf58105f51e9cf66916739fabfae724dd

218

py

Python

BMS_Sender.py

akashbhasker/stream-bms-data-DivyaK-bit

ce75cf92b2fa52940b511751a14545ac350c137a

[ "MIT" ]

null

BMS_Sender.py

akashbhasker/stream-bms-data-DivyaK-bit

ce75cf92b2fa52940b511751a14545ac350c137a

[ "MIT" ]

null

BMS_Sender.py

akashbhasker/stream-bms-data-DivyaK-bit

ce75cf92b2fa52940b511751a14545ac350c137a

[ "MIT" ]

null

import Battery_Parameter_Handler alert_Duration = 10 def startSender(): Battery_Parameter_Handler.startSender(["Charge_rate" ,"Temperature"],"Console",alert_Duration) if __name__ == '__main__': startSender()

24.222222

98

0.775229

23

218

6.695652

0.695652

0.207792

0.298701

0

0.010309

0.110092

218

9

99

24.222222

0.783505

0

0.16895

0

1

0.166667

false

0

0.166667

0

0.333333

0

1

0

null

1

0

1

0

null

0

4

0a7e9f18d18663ff179843c552bb723e384020f5

1,740

py

Python

17B-162/HI/imaging/HI_convolve_to_14B.py

e-koch/VLA_Lband

8fca7b2de0b88ce5c5011b34bf3936c69338d0b0

[ "MIT" ]

1

2021-03-08T23:19:12.000Z

17B-162/HI/imaging/HI_convolve_to_14B.py

e-koch/VLA_Lband

8fca7b2de0b88ce5c5011b34bf3936c69338d0b0

[ "MIT" ]

null

17B-162/HI/imaging/HI_convolve_to_14B.py

e-koch/VLA_Lband

8fca7b2de0b88ce5c5011b34bf3936c69338d0b0

[ "MIT" ]

null

''' For comparison, smooth and regrid to the 14B data. ''' import os from cube_analysis.reprojection import reproject_cube from paths import (data_path, fourteenB_wGBT_HI_file_dict, seventeenB_02kms_wGBT_HI_file_dict, seventeenB_HI_data_02kms_wGBT_path, seventeenB_1kms_wGBT_HI_file_dict, seventeenB_HI_data_1kms_wGBT_path) out_folder = seventeenB_HI_data_02kms_wGBT_path("14B_match", no_check=True) if not os.path.exists(out_folder): os.mkdir(out_folder) out_name = seventeenB_02kms_wGBT_HI_file_dict['Cube'].split("/")[-1].rstrip(".fits") + \ ".14B_match.fits" reproject_cube(seventeenB_02kms_wGBT_HI_file_dict['Cube'], fourteenB_wGBT_HI_file_dict['Cube'], out_name, output_folder=out_folder, save_spectral=False, is_huge=True, reproject_type='spatial', common_beam=True, verbose=True, chunk=40) out_folder = seventeenB_HI_data_1kms_wGBT_path("14B_match", no_check=True) if not os.path.exists(out_folder): os.mkdir(out_folder) out_name = seventeenB_1kms_wGBT_HI_file_dict['Cube'].split("/")[-1].rstrip(".fits") + \ ".14B_match.fits" reproject_cube(seventeenB_1kms_wGBT_HI_file_dict['Cube'], fourteenB_wGBT_HI_file_dict['Cube'], out_name, output_folder=out_folder, save_spectral=False, is_huge=True, reproject_type='spatial', common_beam=True, verbose=True, chunk=40)

31.071429

88

0.598276

206

1,740

4.592233

0.262136

0.057082

0.095137

0.133192

0.875264

0.831924

0.731501

0.649049

0

0.025941

0.313218

1,740

55

89

31.636364

0.76569

0.028736

0

0.666667

0

0.058299

0

1

0

false

0

0.076923

0

0.076923

0

null

0

1

0

1

0

null

0

4

0a8814a9e89b29b2c68bddc494424c9c967f6041

23

py

Python

wechart_base_api_class/__init__.py

FrankWangJQ/wechart-apitest

7c66132108917d6bc1e20ae65c186dc623a95fec

[ "Apache-2.0" ]

null

wechart_base_api_class/__init__.py

FrankWangJQ/wechart-apitest

7c66132108917d6bc1e20ae65c186dc623a95fec

[ "Apache-2.0" ]

null

wechart_base_api_class/__init__.py

FrankWangJQ/wechart-apitest

7c66132108917d6bc1e20ae65c186dc623a95fec

[ "Apache-2.0" ]

null

__version__ = 'V_0.1.0'

23

0.695652

5

23

2.2

0.8

0

0.142857

0.086957

23

1

23

0.380952

0

0.291667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

0a99514a389dbee9d39fe3073afd81f6eaf7d5bf

141

py

Python

EnvMS/tests.py

smileboywtu/django-demo

1ddc83abcd363814180056b9cc2ec1a4f804cc9d

[ "MIT" ]

1

2016-07-30T03:22:13.000Z

EnvMS/tests.py

smileboywtu/django-demo

1ddc83abcd363814180056b9cc2ec1a4f804cc9d

[ "MIT" ]

null

EnvMS/tests.py

smileboywtu/django-demo

1ddc83abcd363814180056b9cc2ec1a4f804cc9d

[ "MIT" ]

null

11.75

44

0.666667

19

141

4.947368

0.947368

0

0.102564

0.170213

141

11

45

12.818182

0.700855

0.659574

0

1

0

true

0

1

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

4

0ab267fc3e92547d18a89664ca4dcf40a03876a4

83

py

Python

napari_filters/_tests/test_function.py

tdmorello/napari-filters

f689024a312bf3af37377acdf9259d5b8520cb3e

[ "BSD-3-Clause" ]

null

napari_filters/_tests/test_function.py

tdmorello/napari-filters

f689024a312bf3af37377acdf9259d5b8520cb3e

[ "BSD-3-Clause" ]

null

napari_filters/_tests/test_function.py

tdmorello/napari-filters

f689024a312bf3af37377acdf9259d5b8520cb3e

[ "BSD-3-Clause" ]

null

# from napari_filters import threshold, image_arithmetic # add your tests here...

20.75

56

0.783133

11

83

5.727273

1

0

0.144578

83

3

57

27.666667

0.887324

0.927711

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

0ab961059f4d580d140ae97399e7476b96b8ed71

81

py

Python

python/fek.py

ankitr/N-lang

ac6d20a5b688d5281a86dfdaba35938eaa402500

[ "MIT" ]

null

python/fek.py

ankitr/N-lang

ac6d20a5b688d5281a86dfdaba35938eaa402500

[ "MIT" ]

null

python/fek.py

ankitr/N-lang

ac6d20a5b688d5281a86dfdaba35938eaa402500

[ "MIT" ]

null

import re def paer(args): print(args[0]) def _values(): return {"paer": None}

11.571429

22

0.654321

13

81

4

0.769231

0

0.014706

0.160494

81

7

22

11.571429

0.75

0

0.04878

0

1

0.4

false

0

0.2

0.8

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

0ac1c8aca091b9a0948fdc67d2361274749c06c3

929

py

Python

staking/domain/model/stake_holder.py

prashantramangupta/snet-staking-service

ae59b951f735486dad48a928425e8925b4b14ae9

[ "MIT" ]

null

staking/domain/model/stake_holder.py

prashantramangupta/snet-staking-service

ae59b951f735486dad48a928425e8925b4b14ae9

[ "MIT" ]

9

2020-02-19T08:03:45.000Z

2020-02-19T09:18:17.000Z

staking/domain/model/stake_holder.py

prashantramangupta/snet-staking-service

ae59b951f735486dad48a928425e8925b4b14ae9

[ "MIT" ]

3

2020-02-14T09:17:58.000Z

2021-06-09T11:16:52.000Z

class StakeHolder: def __init__(self, staker, amount_pending_for_approval, amount_approved, block_no_created): self._staker = staker self._amount_pending_for_approval = amount_pending_for_approval self._amount_approved = amount_approved self._block_no_created = block_no_created def to_dict(self): return { "staker": self._staker, "amount_pending_for_approval": self._amount_pending_for_approval, "amount_approved": self._amount_approved, "block_no_created": self._block_no_created } @property def staker(self): return self._staker @property def amount_pending_for_approval(self): return self._amount_pending_for_approval @property def amount_approved(self): return self._amount_approved @property def block_no_created(self): return self._block_no_created

29.967742

95

0.692142

108

929

5.407407

0.166667

0.155822

0.191781

0.287671

0.5

0.40411

0

0.243272

929

30

96

30.966667

0.830725

0

0.16

0

0.068891

0.029064

0

1

0.24

false

0

0.2

0.48

0

null

0

1

0

null

0

1

0

1

0

4

0ad2ef8073688326d37a929bf6f5e133b5dfe84a

117

py

Python

search/__init__.py

vanng822/geosearch

587bb6945da041277fdbf40cdb9e1f99ffee60a1

[ "MIT" ]

null

search/__init__.py

vanng822/geosearch

587bb6945da041277fdbf40cdb9e1f99ffee60a1

[ "MIT" ]

null

search/__init__.py

vanng822/geosearch

587bb6945da041277fdbf40cdb9e1f99ffee60a1

[ "MIT" ]

null

from engine import Engine from filters import Filter, TagFilter, RadiusFilter from sorting import sort_by_popularity

29.25

51

0.863248

16

117

6.1875

0.6875

0

0.119658

117

3

52

39

0.961165

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0af7db5046437752b2d512b58d41d321bb1030fd

96

py

Python

pyCFOF/__init__.py

luk-f/pyCFOF

dca9dd16150c41f4be70beb9734c735f84f77268

[ "BSD-3-Clause" ]

null

pyCFOF/__init__.py

luk-f/pyCFOF

dca9dd16150c41f4be70beb9734c735f84f77268

[ "BSD-3-Clause" ]

5

2020-05-23T16:17:04.000Z

2021-06-21T13:37:45.000Z

pyCFOF/__init__.py

luk-f/pyCFOF

dca9dd16150c41f4be70beb9734c735f84f77268

[ "BSD-3-Clause" ]

null

from ._cfof import ConcentrationFreeOutlierFactor __all__ = ['ConcentrationFreeOutlierFactor']

24

49

0.854167

6

96

12.833333

0.833333

0

0.083333

96

3

50

32

0.875

0

0.3125

0

1

0

false

0

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

4

0afddfa6e60641bd5882b95879af506982c59fd8

131

py

Python

tw_serverinfo/utility/__init__.py

DaRealFreak/Teeworlds-ServerInfo

ed3f281d91ecc7bd4f2e1fff27e86effaed68b02

[ "MIT" ]

6

2018-10-14T10:12:23.000Z

2019-08-12T23:27:32.000Z

tw_serverinfo/utility/__init__.py

DaRealFreak/Teeworlds-ServerInfo

ed3f281d91ecc7bd4f2e1fff27e86effaed68b02

[ "MIT" ]

4

2018-10-14T14:59:47.000Z

2020-09-25T09:50:18.000Z

tw_serverinfo/utility/__init__.py

DaRealFreak/Teeworlds-ServerInfo

ed3f281d91ecc7bd4f2e1fff27e86effaed68b02

[ "MIT" ]

null

#!/usr/local/bin/python # coding: utf-8 from tw_serverinfo.utility.countries import custom_countries __all__ = [custom_countries]

21.833333

60

0.801527

18

131

5.444444

0.833333

0.306122

0

0.008403

0.091603

131

5

61

26.2

0.815126

0.274809

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

e403effafd5c0c1f0384b98b7c4d02d03176d079

3,792

py

Python

pypy/module/__pypy__/test/test_intop.py

m4sterchain/mesapy

ed546d59a21b36feb93e2309d5c6b75aa0ad95c9

[ "Apache-2.0", "OpenSSL" ]

381

2018-08-18T03:37:22.000Z

2022-02-06T23:57:36.000Z

pypy/module/__pypy__/test/test_intop.py

m4sterchain/mesapy

ed546d59a21b36feb93e2309d5c6b75aa0ad95c9

[ "Apache-2.0", "OpenSSL" ]

16

2018-09-22T18:12:47.000Z

2022-02-22T20:03:59.000Z

pypy/module/__pypy__/test/test_intop.py

m4sterchain/mesapy

ed546d59a21b36feb93e2309d5c6b75aa0ad95c9

[ "Apache-2.0", "OpenSSL" ]

30

2018-08-20T03:16:34.000Z

2022-01-12T17:39:22.000Z

class AppTestIntOp: spaceconfig = dict(usemodules=['__pypy__']) def w_intmask(self, n): import sys n &= (sys.maxsize*2+1) if n > sys.maxsize: n -= 2*(sys.maxsize+1) return int(n) def test_intmask(self): import sys assert self.intmask(sys.maxsize) == sys.maxsize assert self.intmask(sys.maxsize+1) == -sys.maxsize-1 assert self.intmask(-sys.maxsize-2) == sys.maxsize N = 2 ** 128 assert self.intmask(N+sys.maxsize) == sys.maxsize assert self.intmask(N+sys.maxsize+1) == -sys.maxsize-1 assert self.intmask(N-sys.maxsize-2) == sys.maxsize def test_int_add(self): import sys from __pypy__ import intop assert intop.int_add(40, 2) == 42 assert intop.int_add(sys.maxsize, 1) == -sys.maxsize-1 assert intop.int_add(-2, -sys.maxsize) == sys.maxsize def test_int_sub(self): import sys from __pypy__ import intop assert intop.int_sub(40, -2) == 42 assert intop.int_sub(sys.maxsize, -1) == -sys.maxsize-1 assert intop.int_sub(-2, sys.maxsize) == sys.maxsize def test_int_mul(self): import sys from __pypy__ import intop assert intop.int_mul(40, -2) == -80 assert intop.int_mul(-sys.maxsize, -sys.maxsize) == ( self.intmask(sys.maxsize ** 2)) def test_int_floordiv(self): import sys from __pypy__ import intop assert intop.int_floordiv(41, 3) == 13 assert intop.int_floordiv(41, -3) == -13 assert intop.int_floordiv(-41, 3) == -13 assert intop.int_floordiv(-41, -3) == 13 assert intop.int_floordiv(-sys.maxsize, -1) == sys.maxsize assert intop.int_floordiv(sys.maxsize, -1) == -sys.maxsize def test_int_mod(self): import sys from __pypy__ import intop assert intop.int_mod(41, 3) == 2 assert intop.int_mod(41, -3) == 2 assert intop.int_mod(-41, 3) == -2 assert intop.int_mod(-41, -3) == -2 assert intop.int_mod(-sys.maxsize, -1) == 0 assert intop.int_mod(sys.maxsize, -1) == 0 def test_int_lshift(self): import sys from __pypy__ import intop if sys.maxsize == 2**31-1: bits = 32 else: bits = 64 assert intop.int_lshift(42, 3) == 42 << 3 assert intop.int_lshift(0, 3333) == 0 assert intop.int_lshift(1, bits-2) == 1 << (bits-2) assert intop.int_lshift(1, bits-1) == -sys.maxsize-1 == (-1) << (bits-1) assert intop.int_lshift(-1, bits-2) == (-1) << (bits-2) assert intop.int_lshift(-1, bits-1) == -sys.maxsize-1 assert intop.int_lshift(sys.maxsize // 3, 2) == ( self.intmask((sys.maxsize // 3) << 2)) assert intop.int_lshift(-sys.maxsize // 3, 2) == ( self.intmask((-sys.maxsize // 3) << 2)) def test_int_rshift(self): from __pypy__ import intop assert intop.int_rshift(42, 3) == 42 >> 3 assert intop.int_rshift(-42, 3) == (-42) >> 3 assert intop.int_rshift(0, 3333) == 0 assert intop.int_rshift(-1, 0) == -1 assert intop.int_rshift(-1, 1) == -1 def test_uint_rshift(self): import sys from __pypy__ import intop if sys.maxsize == 2**31-1: bits = 32 else: bits = 64 N = 1 << bits assert intop.uint_rshift(42, 3) == 42 >> 3 assert intop.uint_rshift(-42, 3) == (N-42) >> 3 assert intop.uint_rshift(0, 3333) == 0 assert intop.uint_rshift(-1, 0) == -1 assert intop.uint_rshift(-1, 1) == sys.maxsize assert intop.uint_rshift(-1, bits-2) == 3 assert intop.uint_rshift(-1, bits-1) == 1

36.114286

80

0.567774

541

3,792

3.805915

0.083179

0.199126

0.224381

0.073822

0.834386

0.771734

0.647887

0.581836

0.531812

0.427878

0

0.068529

0.29193

3,792

104

81

36.461538

0.698324

0

0.271739

0

0.002111

0

0.5

1

0.108696

false

0

0.184783

0

0.326087

0

null

0

1

0

1

0

null

0

1

0

4

7c1a169f048134204195356c11c23af6444c91f6

1,559

py

Python

setup.py

fanfanpsu/django-mptt

388bbd7c2171b46c838a279262b8c78975c4320a

[ "MIT" ]

null

setup.py

fanfanpsu/django-mptt

388bbd7c2171b46c838a279262b8c78975c4320a

[ "MIT" ]

null

setup.py

fanfanpsu/django-mptt

388bbd7c2171b46c838a279262b8c78975c4320a

[ "MIT" ]

1

2019-04-17T18:03:38.000Z

#!/usr/bin/env python from setuptools import find_packages, setup setup( name='django-mptt', description=( 'Utilities for implementing Modified Preorder Tree Traversal ' 'with your Django Models and working with trees of Model instances.' ), version=__import__('mptt').__version__, author='Craig de Stigter', author_email='craig.ds@gmail.com', url='http://github.com/django-mptt/django-mptt', license='MIT License', packages=find_packages(exclude=['tests', 'tests.*']), include_package_data=True, install_requires=[ 'django-js-asset', ], classifiers=[ 'Development Status :: 4 - Beta', 'Environment :: Web Environment', 'Framework :: Django', 'Framework :: Django :: 1.8', 'Framework :: Django :: 1.11', 'Framework :: Django :: 2.0', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", 'Topic :: Utilities', ], )

34.644444

76

0.600385

155

1,559

5.948387

0.554839

0.206074

0.27115

0.140998

0.058568

0

0.017241

0.255933

1,559

44

77

35.431818

0.777586

0.012829

0

0.05

0

0.606632

0

1

0

true

0

0.05

0

0.05

0

null

1

0

1

0

null

0

1

0

4

7c30b5f9ec252a135800721c5da830e9c70dc53c

177

py

Python

visit/forms.py

project-sabai/Sabai-Backend

fbc25d6ec774900d2602f6f8cf57544d873f401a

[ "MIT" ]

null

visit/forms.py

project-sabai/Sabai-Backend

fbc25d6ec774900d2602f6f8cf57544d873f401a

[ "MIT" ]

9

2020-06-05T22:10:47.000Z

2021-06-10T18:38:13.000Z

visit/forms.py

project-sabai/Sabai-Backend

fbc25d6ec774900d2602f6f8cf57544d873f401a

[ "MIT" ]

1

2019-09-01T04:41:58.000Z

from django import forms from clinicmodels.models import Visit class VisitForm(forms.ModelForm): class Meta: model = Visit fields = ['patient', 'status']

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7c4a79936cc7ab69415fab96ebd3a750fcb993c0

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py

Python

frontend/email_css.py

mepsd/CLAC

ee15111e9ad12e51fe349d3339319e30b3b69d9e

[ "CC0-1.0" ]

126

2015-03-24T17:37:33.000Z

2022-03-29T18:37:39.000Z

frontend/email_css.py

mepsd/CLAC

ee15111e9ad12e51fe349d3339319e30b3b69d9e

[ "CC0-1.0" ]

1,815

2015-03-16T21:01:30.000Z

2019-09-09T18:47:29.000Z

frontend/email_css.py

mepsd/CLAC

ee15111e9ad12e51fe349d3339319e30b3b69d9e

[ "CC0-1.0" ]

69

2015-03-27T23:44:26.000Z

2021-02-14T09:45:28.000Z

import pathlib from django.utils.safestring import mark_safe CSS_PATH = (pathlib.Path(__file__).resolve().parent / 'static' / 'frontend' / 'built' / 'style' / 'email.min.css') def get(): return mark_safe(CSS_PATH.read_text(encoding='utf-8')) # nosec

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7c4bd2460ee06b53b6e2c4bbaf49597325c5f788

115

py

Python

main/main.py

genisyskernel/project-genisys-ia

ba79d9e81ae6d3f10b179a65ae0856ceec38a1e1

[ "MIT" ]

null

main/main.py

genisyskernel/project-genisys-ia

ba79d9e81ae6d3f10b179a65ae0856ceec38a1e1

[ "MIT" ]

null

main/main.py

genisyskernel/project-genisys-ia

ba79d9e81ae6d3f10b179a65ae0856ceec38a1e1

[ "MIT" ]

null

# MAIN # from interface import gui # Start Main # if __name__ == '__main__': # Start GUI frame # gui.GUI

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7c53c076f9cf97793b75527655e140cb17f31a90

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py

Python

pulumi/infra/path.py

inickles/grapl

f906aba74b2249c9c7d7b1afe6fc540551cdee8b

[ "Apache-2.0" ]

313

2018-10-15T05:58:39.000Z

2020-04-21T20:31:39.000Z

pulumi/infra/path.py

graplsec/grapl

68386b425c8e9e34f7380a078279b67b316fe2a0

[ "Apache-2.0" ]

33

2018-10-16T00:47:10.000Z

2020-03-16T22:32:45.000Z

pulumi/infra/path.py

graplsec/grapl

68386b425c8e9e34f7380a078279b67b316fe2a0

[ "Apache-2.0" ]

29

2018-11-18T08:39:14.000Z

2020-04-09T20:59:15.000Z

from pathlib import Path def path_from_root(from_root: str) -> Path: """ To access something in the Grapl repo root, we have to reference two dirs up because the Pulumi cwd is `${GRAPL_ROOT}/pulumi/grapl` """ return Path("../..") / from_root

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