xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

213ca174c7e73148f746fa9b06f5e066de631b92

191

py

Python

protobuf_parser/__init__.py

Gobot1234/protobuf_parser

dec0b73334747a33cdca1c9ac254bd7dc41fca00

[ "Apache-2.0" ]

null

protobuf_parser/__init__.py

Gobot1234/protobuf_parser

dec0b73334747a33cdca1c9ac254bd7dc41fca00

[ "Apache-2.0" ]

null

protobuf_parser/__init__.py

Gobot1234/protobuf_parser

dec0b73334747a33cdca1c9ac254bd7dc41fca00

[ "Apache-2.0" ]

null

# Copyright (c) James Hilton-Balfe under the MIT License see LICENSE """A module to interact with Google's Protocol Buffer Compiler (protoc)""" from ._impl import * from ._version import *

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5

2145feb2012bb0e250c682f2aa8501f29ce20018

60

py

Python

nuit/tests/__init__.py

pwilczynskiclearcode/django-nuit

e1b619c00db36fba48683e9cf3d51cf4460f99c8

[ "Apache-2.0" ]

5

2016-05-15T12:43:24.000Z

2018-10-06T07:45:38.000Z

nuit/tests/__init__.py

pwilczynskiclearcode/django-nuit

e1b619c00db36fba48683e9cf3d51cf4460f99c8

[ "Apache-2.0" ]

12

2016-04-21T22:01:55.000Z

2017-04-20T09:27:56.000Z

nuit/tests/__init__.py

pwilczynskiclearcode/django-nuit

e1b619c00db36fba48683e9cf3d51cf4460f99c8

[ "Apache-2.0" ]

6

2016-04-21T23:27:48.000Z

2018-02-22T16:24:11.000Z

# Test discovery for 1.6 from nuit.tests.test_main import *

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dce557af8130ef11307c4189214e9c583552a50a

99

py

Python

src/spaceone/inventory/connector/aws_auto_scaling_connector/__init__.py

jean1042/plugin-aws-cloud-services

1cf192557b03478af33ae81f40b2a49f735716bb

[ "Apache-2.0" ]

4

2020-06-22T01:48:07.000Z

2020-08-24T00:51:09.000Z

src/spaceone/inventory/connector/aws_auto_scaling_connector/__init__.py

jean1042/plugin-aws-cloud-services

1cf192557b03478af33ae81f40b2a49f735716bb

[ "Apache-2.0" ]

2

2020-07-20T01:58:32.000Z

2020-08-04T07:41:37.000Z

src/spaceone/inventory/connector/aws_auto_scaling_connector/__init__.py

jean1042/plugin-aws-cloud-services

1cf192557b03478af33ae81f40b2a49f735716bb

[ "Apache-2.0" ]

6

2020-06-22T09:19:40.000Z

2020-09-17T06:35:37.000Z

from spaceone.inventory.connector.aws_auto_scaling_connector.connector import AutoScalingConnector

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5

dcec5c5a013fe73fc268a5dbc5386c1089e3ed91

82

py

Python

CodingBat/Warmup-1/parrot_trouble.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CodingBat/Warmup-1/parrot_trouble.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CodingBat/Warmup-1/parrot_trouble.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

def parrot_trouble(talking, hour): return talking and (hour < 7 or hour > 20)

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1

0

5

0d03f6edb56b8dd87b660882a9c1573e53d8cc66

173

py

Python

tests/sample_migrations/0015.py

SuadeLabs/infi.clickhouse_orm

cd724c213224583bff5e78cc63221ecec769c317

[ "BSD-3-Clause" ]

3

2022-01-07T15:50:59.000Z

2022-01-20T02:21:46.000Z

tests/sample_migrations/0015.py

SuadeLabs/infi.clickhouse_orm

cd724c213224583bff5e78cc63221ecec769c317

[ "BSD-3-Clause" ]

3

2021-07-28T21:55:25.000Z

2021-08-14T11:30:08.000Z

tests/sample_migrations/0015.py

SuadeLabs/infi.clickhouse_orm

cd724c213224583bff5e78cc63221ecec769c317

[ "BSD-3-Clause" ]

null

from clickhouse_orm import migrations from ..test_migrations import * operations = [migrations.AlterTable(Model4_compressed), migrations.AlterTable(Model2LowCardinality)]

28.833333

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5

0d4da38b2a9c09960330df3a6aaa4c8857711c52

421

py

Python

gym_copter/envs/__init__.py

simondlevy/gym-copter

7236769b7586b92026d4b47f12363258c84d9508

[ "MIT" ]

14

2019-11-03T05:17:46.000Z

2022-02-26T05:37:32.000Z

gym_copter/envs/__init__.py

simondlevy/gym-copter

7236769b7586b92026d4b47f12363258c84d9508

[ "MIT" ]

77

2020-05-17T01:56:29.000Z

2021-06-19T02:46:52.000Z

gym_copter/envs/__init__.py

simondlevy/gym-copter

7236769b7586b92026d4b47f12363258c84d9508

[ "MIT" ]

6

2020-01-01T07:22:15.000Z

2021-05-11T17:45:33.000Z

''' Copyright (C) 2019 Simon D. Levy MIT License ''' from gym_copter.envs.lander1d import Lander1D # noqa: F401 from gym_copter.envs.lander2d import Lander2D # noqa: F401 from gym_copter.envs.lander3d import Lander3D # noqa: F401 from gym_copter.envs.hover1d import Hover1D # noqa: F401 from gym_copter.envs.hover2d import Hover2D # noqa: F401 from gym_copter.envs.hover3d import Hover3D # noqa: F401

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421

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null

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1

0

1

0

5

b4c66082255c60b091b0f568fd25b0b7a336be47

23

py

Python

src/radio81/main.py

corzani/radio81

eefe00efc768b3c91ada2a6a695eb143f8570393

[ "MIT" ]

null

src/radio81/main.py

corzani/radio81

eefe00efc768b3c91ada2a6a695eb143f8570393

[ "MIT" ]

null

src/radio81/main.py

corzani/radio81

eefe00efc768b3c91ada2a6a695eb143f8570393

[ "MIT" ]

null

def main(): start()

11.5

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null

0

1

0

5

b4d560e877026670b66a24000852922307d0c07d

405

py

Python

view/AutoScaleView.py

liujiage/DevOpsK8s

b722a855394887a91f42c46586b9724f3258f620

[ "Apache-2.0" ]

1

2022-02-26T05:20:28.000Z

view/AutoScaleView.py

liujiage/DevOpsK8s

b722a855394887a91f42c46586b9724f3258f620

[ "Apache-2.0" ]

null

view/AutoScaleView.py

liujiage/DevOpsK8s

b722a855394887a91f42c46586b9724f3258f620

[ "Apache-2.0" ]

null

from services.dao.AutoScaleSettingDao import AutoScaleSettingDao from vo.AutoScaleSettingVO import AutoScaleSettingVO class AutoScaleView: def __init__(self): self.assDao = AutoScaleSettingDao() def getSetting(self) -> AutoScaleSettingVO: return self.assDao.query() def saveSetting(self, setting = AutoScaleSettingVO()): return self.assDao.updateOrInsert(setting)

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null

0

1

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1

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5

372b7b9e9ea4bbd0a2cf43d58723295a5d2b9700

98

py

Python

bot/bot.py

mercdev-corp/repsoter

5ab98e84556143d4688ae5497443916fa63431b0

[ "MIT" ]

2

2020-10-26T09:26:13.000Z

2022-03-22T18:10:01.000Z

bot/bot.py

mercdev-corp/repsoter

5ab98e84556143d4688ae5497443916fa63431b0

[ "MIT" ]

null

bot/bot.py

mercdev-corp/repsoter

5ab98e84556143d4688ae5497443916fa63431b0

[ "MIT" ]

2

2020-02-11T08:11:19.000Z

2022-03-20T18:16:41.000Z

from telegram import Bot from .settings import settings bot = Bot(token=settings.TG_BOT_TOKEN)

14

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5.066667

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0.210526

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null

0

1

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1

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5

2eb409ec88817b5aea42c9fecdcb097f5805619d

146

py

Python

2_B_1_C_Date.py

julia-komleva/algorithm-training

46c42cfed007ba27c7848bfc52009b64148dd84e

[ "MIT" ]

null

2_B_1_C_Date.py

julia-komleva/algorithm-training

46c42cfed007ba27c7848bfc52009b64148dd84e

[ "MIT" ]

null

2_B_1_C_Date.py

julia-komleva/algorithm-training

46c42cfed007ba27c7848bfc52009b64148dd84e

[ "MIT" ]

null

first, second, year = map(int, input().split()) if first == second: print(1) elif first < 13 and second < 13: print(0) else: print(1)

18.25

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8

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null

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0

1

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5

2ebf2b711d5bac59fcf0168828cf681fb406ccf8

97

py

Python

Datadex/__init__.py

steventhe24th/Beehive

38b48f9d1960116a9207364265966e9badaf5dd7

[ "MIT" ]

null

Datadex/__init__.py

steventhe24th/Beehive

38b48f9d1960116a9207364265966e9badaf5dd7

[ "MIT" ]

14

2021-11-04T05:59:46.000Z

2022-01-19T04:34:18.000Z

Datadex/__init__.py

steventhe24th/DataDex

8f8fe564ab0140412946325fc49ab5099439e9ee

[ "MIT" ]

null

from Datadex.main import Vespiqueen,VespiqueenTools,Combee,CombeeKeras, Beehive, Diglett, Utility

97

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null

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1

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1

0

5

2eee6c323611a8a7fe82dc49eb87f1dc974e571d

58

py

Python

typings/bl_previews_utils/__init__.py

Argmaster/PyR3

6786bcb6a101fe4bd4cc50fe43767b8178504b15

[ "MIT" ]

2

2021-12-12T18:51:52.000Z

2022-02-23T09:49:16.000Z

src/blender/blender_autocomplete-master/2.92/bl_previews_utils/__init__.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

2

2021-11-08T12:09:02.000Z

2021-12-12T23:01:12.000Z

src/blender/blender_autocomplete-master/2.92/bl_previews_utils/__init__.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

null

import sys import typing from . import bl_previews_render

14.5

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5

257f43148dd0d3d1da7f30f12a115695a88789eb

5,031

py

Python

analysis/overlapParadigms.py

jlubo/memory-consolidation-stc

f9934760e12de324360297d7fc7902623169cb4d

[ "Apache-2.0" ]

2

2021-03-02T21:46:56.000Z

2021-06-30T03:12:07.000Z

analysis/overlapParadigms.py

jlubo/memory-consolidation-stc

f9934760e12de324360297d7fc7902623169cb4d

[ "Apache-2.0" ]

null

analysis/overlapParadigms.py

jlubo/memory-consolidation-stc

f9934760e12de324360297d7fc7902623169cb4d

[ "Apache-2.0" ]

3

2021-03-22T12:56:52.000Z

2021-09-13T07:42:36.000Z

############################################################## ### Definitions of assembly neurons in different paradigms ### ### of overlap between cell assemblies ### ############################################################## ### Copyright 2020-2021 Jannik Luboeinski ### licensed under Apache-2.0 (http://www.apache.org/licenses/LICENSE-2.0) import numpy as np # coreDefinitions # Returns the neuron numbers belonging to each of three assemblies in a given paradigm # paradigm: name of the paradigm to consider # core_size: the size of one assembly # return: the three assemblies def coreDefinitions(paradigm, core_size = 600): # full_overlap # Returns the neuron number belonging to each of three assemblies with equal overlaps # overlap: overlap between each two cell assemblies (0.1 equals "OVERLAP10" and so on) # return: the three assemblies def full_overlap(overlap): tot_wo_overlap = 1-overlap half_overlap = overlap / 2 tot2_wo_overlap_oh = 2-overlap-half_overlap core1 = np.arange(core_size) core2 = np.arange(int(np.round(tot_wo_overlap*core_size)), int(np.round(tot_wo_overlap*core_size))+core_size) core3 = np.concatenate(( np.arange(int(np.round(tot2_wo_overlap_oh*core_size)), int(np.round(tot2_wo_overlap_oh*core_size))+int(np.round(tot_wo_overlap*core_size))), \ np.arange(int(np.round(half_overlap*core_size))), \ np.arange(int(np.round(tot_wo_overlap*core_size)), int(np.round(tot_wo_overlap*core_size))+int(np.round(half_overlap*core_size))) )) return (core1, core2, core3) # no_ABC_overlap # Returns the neuron number belonging to each of three assemblies with equal overlaps but no common overlap # overlap: overlap between each two cell assemblies (0.1 equals "OVERLAP10 no ABC" and so on) # return: the three assemblies def no_ABC_overlap(overlap): tot_wo_overlap = 1-overlap tot2_wo_overlap_oh = 2 - 2*overlap core1 = np.arange(core_size) core2 = np.arange(int(np.round(tot_wo_overlap*core_size)), int(np.round(tot_wo_overlap*core_size))+core_size) core3 = np.concatenate(( np.arange(int(np.round(tot2_wo_overlap_oh*core_size)), int(np.round(tot2_wo_overlap_oh*core_size))+int(np.round(tot_wo_overlap*core_size))), \ np.arange(int(np.round(overlap*core_size))) )) return (core1, core2, core3) # no_AC_no_ABC_overlap # Returns the neuron number belonging to each of three assemblies with "no AC, no ABC" overlap # overlap: overlap between each two cell assemblies (0.1 equals "OVERLAP10 no AC, no ABC" and so on) # return: the three assemblies def no_AC_no_ABC_overlap(overlap): tot_wo_overlap = 1-overlap tot2_wo_overlap_oh = 2 - 2*overlap core1 = np.arange(core_size) core2 = np.arange(int(np.round(tot_wo_overlap*core_size)), int(np.round(tot_wo_overlap*core_size))+core_size) core3 = np.arange(int(np.round(tot2_wo_overlap_oh*core_size)), int(np.round(tot2_wo_overlap_oh*core_size))+core_size) return (core1, core2, core3) # no_BC_no_ABC_overlap # Returns the neuron number belonging to each of three assemblies with "no BC, no ABC" overlap # overlap: overlap between each two cell assemblies (0.1 equals "OVERLAP10 no BC, no ABC" and so on) # return: the three assemblies def no_BC_no_ABC_overlap(overlap): tot_wo_overlap = 1-overlap core1 = np.arange(core_size) core2 = np.arange(int(np.round(tot_wo_overlap*core_size)), int(np.round(tot_wo_overlap*core_size))+core_size) core3 = np.concatenate(( np.arange(int(np.round(tot_wo_overlap*core_size))+core_size, 2*int(np.round(tot_wo_overlap*core_size))+core_size), \ np.arange(int(np.round(overlap*core_size))) )) return (core1, core2, core3) # handling the different overlap paradigms: if paradigm == "NOOVERLAP": core1 = np.arange(core_size) core2 = np.arange(core_size, 2*core_size) core3 = np.arange(2*core_size, 3*core_size) elif paradigm == "OVERLAP10": core1, core2, core3 = full_overlap(0.1) elif paradigm == "OVERLAP10 no ABC": core1, core2, core3 = no_ABC_overlap(0.1) elif paradigm == "OVERLAP10 no AC, no ABC": core1, core2, core3 = no_AC_no_ABC_overlap(0.1) elif paradigm == "OVERLAP10 no BC, no ABC": core1, core2, core3 = no_BC_no_ABC_overlap(0.1) elif paradigm == "OVERLAP15": core1, core2, core3 = full_overlap(0.15) elif paradigm == "OVERLAP15 no ABC": core1, core2, core3 = no_ABC_overlap(0.15) elif paradigm == "OVERLAP15 no AC, no ABC": core1, core2, core3 = no_AC_no_ABC_overlap(0.15) elif paradigm == "OVERLAP15 no BC, no ABC": core1, core2, core3 = no_BC_no_ABC_overlap(0.15) elif paradigm == "OVERLAP20": core1, core2, core3 = full_overlap(0.2) elif paradigm == "OVERLAP20 no ABC": core1, core2, core3 = no_ABC_overlap(0.2) elif paradigm == "OVERLAP20 no AC, no ABC": core1, core2, core3 = no_AC_no_ABC_overlap(0.2) elif paradigm == "OVERLAP20 no BC, no ABC": core1, core2, core3 = no_BC_no_ABC_overlap(0.2) else: raise ValueError("Unknown paradigm: " + paradigm) return (core1, core2, core3)

48.375

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2594f3fc6b9ef72837f5514a05376f90cfcd6f33

145

py

Python

robopom/__init__.py

qky666/robopom

631204718a49108afc3d0cb5f7f4e7e914fdfd1f

[ "Apache-2.0" ]

null

robopom/__init__.py

qky666/robopom

631204718a49108afc3d0cb5f7f4e7e914fdfd1f

[ "Apache-2.0" ]

null

robopom/__init__.py

qky666/robopom

631204718a49108afc3d0cb5f7f4e7e914fdfd1f

[ "Apache-2.0" ]

null

from .RobopomSeleniumPlugin import RobopomSeleniumPlugin from .RobopomPage import RobopomPage from .ComponentVariables import ComponentVariables

36.25

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5

25a16a0fd72885ebf712493fac9c9f784012eddb

172

py

Python

app/database.py

leandcesar/bobotinho-api

7a3ce31fb2220e00b4b1fabf10e1c32afde314a9

[ "MIT" ]

null

app/database.py

leandcesar/bobotinho-api

7a3ce31fb2220e00b4b1fabf10e1c32afde314a9

[ "MIT" ]

null

app/database.py

leandcesar/bobotinho-api

7a3ce31fb2220e00b4b1fabf10e1c32afde314a9

[ "MIT" ]

null

# -*- coding: utf-8 -*- from flask_sqlalchemy import SQLAlchemy from sqlalchemy.orm import load_only, validates from sqlalchemy.event import listens_for db = SQLAlchemy()

24.571429

47

0.784884

23

172

5.73913

0.652174

0.212121

0

0.006667

0.127907

172

6

48

28.666667

0.873333

0.122093

0

1

0

false

0

0.75

0

0.75

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

25bff9d96eb88b8a36e0cd1506c31bfaa8372e4e

164

py

Python

Lib/site-packages/hexview/__init__.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

[ "bzip2-1.0.6", "0BSD" ]

null

Lib/site-packages/hexview/__init__.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

[ "bzip2-1.0.6", "0BSD" ]

20

2021-05-03T18:02:23.000Z

2022-03-12T12:01:04.000Z

Lib/site-packages/hexview/__init__.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

[ "bzip2-1.0.6", "0BSD" ]

null

__all__ = ["HexViewWidget", "QT_COLORS", "make_color_icon"] from .hexview import HexViewWidget from .hexview import QT_COLORS from .hexview import make_color_icon

27.333333

59

0.804878

22

164

5.545455

0.454545

0.270492

0.418033

0

0.109756

164

5

60

32.8

0.835616

0

0.22561

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

5

25d88518387f0533b566e1613e615112a923ef1b

57

py

Python

models/modules/__init__.py

leliyliu/Fixed-Point-Training

0f31512abbbab9216bd852c27be5c3774663d62e

[ "Apache-2.0" ]

1

2021-09-27T06:25:08.000Z

models/modules/__init__.py

leliyliu/Fixed-Point-Training

0f31512abbbab9216bd852c27be5c3774663d62e

[ "Apache-2.0" ]

null

models/modules/__init__.py

leliyliu/Fixed-Point-Training

0f31512abbbab9216bd852c27be5c3774663d62e

[ "Apache-2.0" ]

null

from .cptconv import CPTConv2d from .qconv import qconv2d

28.5

30

0.842105

8

57

6

0.75

0

0.04

0.122807

57

2

31

28.5

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

25e4ef0d7e3ab6f4824d03c2c59d4d291036d2b5

164

py

Python

haul3/libs/hres.py

hotkeymuc/haul

22533491e3a22ce9fabd81f281282a09880b400c

[ "MIT" ]

2

2021-07-04T13:00:50.000Z

2022-03-19T21:39:06.000Z

haul3/libs/hres.py

hotkeymuc/haul

22533491e3a22ce9fabd81f281282a09880b400c

[ "MIT" ]

null

haul3/libs/hres.py

hotkeymuc/haul

22533491e3a22ce9fabd81f281282a09880b400c

[ "MIT" ]

null

# HAUL Resources def get(i): return None def use(filename): # Do nothing, it is overridden when testing; in order to load resources at runtime return -1

20.5

84

0.707317

26

164

4.461538

0.884615

0

0.007874

0.22561

164

8

85

20.5

0.905512

0.579268

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

25eb40c3b0ae9ad2a0c9bddab79c5b5063397adf

158

py

Python

Pytorch/Visualization/visualizers/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

Pytorch/Visualization/visualizers/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

Pytorch/Visualization/visualizers/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

from .saliency_map import SaliencyMap from .gradcam import GradCam from .fooling_image import FoolingImage from .class_visualization import ClassVisualization

39.5

51

0.879747

19

158

7.157895

0.631579

0

0.094937

158

4

51

39.5

0.951049

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d30a04e2627210f39105bc7564497a8178f8d7ce

212

py

Python

sws_webstuff/redirect_class.py

Aurvandill137/sws_webstuff

c2ae109f419c2448d25f33e7f9b88cc9670e26cf

[ "MIT" ]

null

sws_webstuff/redirect_class.py

Aurvandill137/sws_webstuff

c2ae109f419c2448d25f33e7f9b88cc9670e26cf

[ "MIT" ]

null

sws_webstuff/redirect_class.py

Aurvandill137/sws_webstuff

c2ae109f419c2448d25f33e7f9b88cc9670e26cf

[ "MIT" ]

null

class Redirect: def __init__(self, url: str = ""): self.redirect_url = url def to_dict(self): tmp_dict = { "redirect_url": self.redirect_url, } return tmp_dict

23.555556

46

0.551887

25

212

4.28

0.44

0.308411

0.280374

0

0.34434

212

9

47

23.555556

0.769784

0

0.056338

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

d310db6250d225147d73d5cf6e24dc43a2a07a2f

113

py

Python

homeserver/cloud/admin.py

shravan097/Mero-Home-Cloud

1e0c3f45b3dc5845efd9f0adb05341dca9b66130

[ "MIT" ]

1

2017-08-11T00:37:07.000Z

homeserver/cloud/admin.py

shravan097/Mero-Home-Cloud

1e0c3f45b3dc5845efd9f0adb05341dca9b66130

[ "MIT" ]

16

2017-05-31T22:08:41.000Z

2017-07-09T03:56:09.000Z

homeserver/cloud/admin.py

shravan097/Mero-Home-Cloud

1e0c3f45b3dc5845efd9f0adb05341dca9b66130

[ "MIT" ]

null

from django.contrib import admin from .models import File # Register your models here. admin.site.register(File)

22.6

32

0.80531

17

113

5.352941

0.647059

0

0.123894

113

5

33

22.6

0.919192

0.230089

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d36b3a55a43b08076f303d7d615a57af91181653

57

py

Python

myallennlp/data/__init__.py

picsolab/COLING2020-BiasStudy

e877cb0625d1f529334507d08db1a6e517fa77b1

[ "MIT" ]

1

2020-12-04T20:32:21.000Z

myallennlp/data/__init__.py

picsolab/COLING2020-BiasStudy

e877cb0625d1f529334507d08db1a6e517fa77b1

[ "MIT" ]

null

myallennlp/data/__init__.py

picsolab/COLING2020-BiasStudy

e877cb0625d1f529334507d08db1a6e517fa77b1

[ "MIT" ]

1

2020-11-28T19:56:44.000Z

from myallennlp.data.dataset_readers import tweet_reader

28.5

56

0.894737

8

57

6.125

1

0

0.070175

57

1

57

0.924528

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d38a7ed8134f2b08d8135cb187d80f8a606fe700

328

py

Python

exercicios_basico/ex002.py

montalvas/python

483c2097f6f91bfae127dafcb63e3006eeecad1d

[ "MIT" ]

null

exercicios_basico/ex002.py

montalvas/python

483c2097f6f91bfae127dafcb63e3006eeecad1d

[ "MIT" ]

null

exercicios_basico/ex002.py

montalvas/python

483c2097f6f91bfae127dafcb63e3006eeecad1d

[ "MIT" ]

null

nome = input('Qual o seu nome? ') sobrenome = input('Qual o seu sobrenome? ') print('Seja bem-vindo(a), {} {}!'.format(nome, sobrenome)) print('Ordem natural: {0} {1}'.format(nome, sobrenome)) print('Ordem inversa: {1} {0}'.format(nome, sobrenome)) print('Outra forma: {0} {1} {other}'.format(nome, sobrenome, other = 'Santos'))

54.666667

79

0.661585

47

328

4.617021

0.446809

0.299539

0.35023

0.331797

0.267281

0

0.020619

0.112805

328

6

79

54.666667

0.725086

0

0.431611

0

1

0

false

0

0.666667

0

null

1

0

1

0

null

0

1

0

5

d3971446c612b48c54e07bdf48652dfc9d5c5ba8

19

py

Python

printstuff2.py

bjigarjian/cs32240-labdemo

480358ce54050e55cc7e2a20243bbd480ec3dffb

[ "MIT" ]

null

printstuff2.py

bjigarjian/cs32240-labdemo

480358ce54050e55cc7e2a20243bbd480ec3dffb

[ "MIT" ]

null

printstuff2.py

bjigarjian/cs32240-labdemo

480358ce54050e55cc7e2a20243bbd480ec3dffb

[ "MIT" ]

null

print('OTHERSTUFF')

19

0.789474

2

19

7.5

1

0

19

1

19

0.789474

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6cf1cb4716cd237e48c25e14b6bb49f32b03b77c

301

py

Python

bug_master/commands/__init__.py

eliorerz/bug_master_bot

a4fd5953a4bc3730857d71d231bcaf6d2297366b

[ "MIT" ]

null

bug_master/commands/__init__.py

eliorerz/bug_master_bot

a4fd5953a4bc3730857d71d231bcaf6d2297366b

[ "MIT" ]

null

bug_master/commands/__init__.py

eliorerz/bug_master_bot

a4fd5953a4bc3730857d71d231bcaf6d2297366b

[ "MIT" ]

null

from .channel_configuration_command import ChannelConfigurationCommand from .command import Command from .command_handler import CommandHandler from .supported_commands import NotSupportedCommandError __all__ = ["Command", "CommandHandler", "ChannelConfigurationCommand", "NotSupportedCommandError"]

43

98

0.863787

25

301

10.08

0.48

0.103175

0

0.076412

301

6

99

50.166667

0.906475

0

0.239203

0.169435

0

1

0

false

0

0.8

0

0.8

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

9f0c74afd66f5ace80b49376e71c5cd7ccce2091

5,770

py

Python

myScripts/mapchina.py

Victoryhhaa/COVID-19-NLP-vis

68d25744fe9b35b06971f1f3710a54f674344ecf

[ "MIT" ]

null

myScripts/mapchina.py

Victoryhhaa/COVID-19-NLP-vis

68d25744fe9b35b06971f1f3710a54f674344ecf

[ "MIT" ]

null

myScripts/mapchina.py

Victoryhhaa/COVID-19-NLP-vis

68d25744fe9b35b06971f1f3710a54f674344ecf

[ "MIT" ]

null

# -*- coding: utf-8 -*- import time, json import pandas as pd from pyecharts.charts import Map import pyecharts.options as opts n = "dataSets/china_provincedata.csv" def render_mapcountChina_rate(dateId): data = pd.read_csv(n) data = data[data['dateId'] == dateId] #print(data['currentConfirmedCount']) list_data = zip(list(data['provinceShortName']), list((data['deadCount']*1000 // data['confirmedCount'])/10)) # [('湖北', 48206), ('广东', 1241), ('河南', 1169), ('浙江', 1145), ..., ('澳门', 10), ('西藏', 1)] #------------------------------------------------------------------------------------- # 第二步：绘制全国疫情地图 # 参考文章：https://blog.csdn.net/shineych/article/details/104231072 [shineych大神] #------------------------------------------------------------------------------------- c = ( Map() .add('', list_data, 'china') .set_global_opts( title_opts=opts.TitleOpts(title='全国疫情分布图（死亡率）'+str(dateId)), visualmap_opts=opts.VisualMapOpts(is_show=True, split_number=6, is_piecewise=True, # 是否为分段型 pos_top='center', pieces=[ {'min': 40, 'color': '#7f1818'}, #不指定 max {'min': 20, 'max': 40}, {'min': 10, 'max': 20}, {'min': 8, 'max': 10}, {'min': 4, 'max': 8}, {'min': 1, 'max': 4}, {'min': 0.6, 'max': 1}, {'min': 0.1, 'max': 0.5}, {'min': 0, 'max': 0} ]), ) ) return c def render_mapcountChina_death(dateId): data = pd.read_csv(n) data = data[data['dateId'] == dateId] #print(data['currentConfirmedCount']) list_data = zip(list(data['provinceShortName']), list(data['deadCount'])) # [('湖北', 48206), ('广东', 1241), ('河南', 1169), ('浙江', 1145), ..., ('澳门', 10), ('西藏', 1)] #------------------------------------------------------------------------------------- # 第二步：绘制全国疫情地图 # 参考文章：https://blog.csdn.net/shineych/article/details/104231072 [shineych大神] #------------------------------------------------------------------------------------- c = ( Map() .add('', list_data, 'china') .set_global_opts( title_opts=opts.TitleOpts(title='全国疫情分布图（累计死亡人数）'+str(dateId)), visualmap_opts=opts.VisualMapOpts(is_show=True, split_number=6, is_piecewise=True, # 是否为分段型 pos_top='center', pieces=[ {'min': 10000, 'color': '#7f1818'}, #不指定 max {'min': 1000, 'max': 10000}, {'min': 500, 'max': 999}, {'min': 100, 'max': 499}, {'min': 10, 'max': 99}, {'min': 0, 'max': 9} ], ), ) ) return c def render_mapcountChina_current(dateId): data = pd.read_csv(n) data = data[data['dateId'] == dateId] #print(data['currentConfirmedCount']) list_data = zip(list(data['provinceShortName']), list(data['currentConfirmedCount'])) # [('湖北', 48206), ('广东', 1241), ('河南', 1169), ('浙江', 1145), ..., ('澳门', 10), ('西藏', 1)] #------------------------------------------------------------------------------------- # 第二步：绘制全国疫情地图 # 参考文章：https://blog.csdn.net/shineych/article/details/104231072 [shineych大神] #------------------------------------------------------------------------------------- c = ( Map() .add('', list_data, 'china') .set_global_opts( title_opts=opts.TitleOpts(title='全国疫情分布图（现存）'+str(dateId)), visualmap_opts=opts.VisualMapOpts(is_show=True, split_number=6, is_piecewise=True, # 是否为分段型 pos_top='center', pieces=[ {'min': 10000, 'color': '#7f1818'}, #不指定 max {'min': 1000, 'max': 10000}, {'min': 500, 'max': 999}, {'min': 100, 'max': 499}, {'min': 10, 'max': 99}, {'min': 0, 'max': 9} ], ), ) ) return c def render_mapcountChina(dateId,type = 0): if(type==0): return render_mapcountChina_current(dateId) elif(type==1): return render_mapcountChina_death(dateId) elif(type==2): return render_mapcountChina_rate(dateId) if __name__ == "__main__": render_mapcountChina(20200212).render('全国疫情地图.html')

47.68595

121

0.34714

428

5,770

4.549065

0.264019

0.049307

0.045198

0.024653

0.749358

0.724191

0

0.065968

0.437782

5,770

121

122

47.68595

0.534217

0.208492

0

0.561798

0

0.087186

0.011449

0

1

0.044944

false

0

0.044944

0

0.157303

0

null

0

1

0

null

0

5

9f21bc5098cbceae03ddb046476d8bf0ed9fdb1d

23,562

py

Python

fn_email_header_validation/fn_email_header_validation/util/customize.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

65

2017-12-04T13:58:32.000Z

2022-03-24T18:33:17.000Z

fn_email_header_validation/fn_email_header_validation/util/customize.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

48

2018-03-02T19:17:14.000Z

2022-03-09T22:00:38.000Z

fn_email_header_validation/fn_email_header_validation/util/customize.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

95

2018-01-11T16:23:39.000Z

2022-03-21T11:34:29.000Z

# -*- coding: utf-8 -*- """Generate the Resilient customizations required for fn_email_header_validation""" from __future__ import print_function from resilient_circuits.util import * def customization_data(client=None): """Produce any customization definitions (types, fields, message destinations, etc) that should be installed by `resilient-circuits customize` """ # This import data contains: # Function inputs: # artifact_id # attachment_id # email_header_validation_target_email # incident_id # Message Destinations: # fn_email_header_validation # Functions: # email_header_validation_using_dkimarc # Workflows: # example_email_header_validation_using_dkimarc_artifact # example_email_header_validation_using_dkimarc_attachment # Rules: # Example: Email Header Validation Using DKIM/ARC [Artifact] # Example: Email Header Validation Using DKIM/ARC [Attachment] yield ImportDefinition(u""" eyJzZXJ2ZXJfdmVyc2lvbiI6IHsibWFqb3IiOiAzMCwgIm1pbm9yIjogMCwgImJ1aWxkX251 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68.494186

87

0.971649

466

23,562

49.051502

0.877682

0.00385

0.00735

0.005687

0.009143

0.0077

0.0035

0

0.12443

0.02313

23,562

343

88

68.693878

0.868662

0.032128

0

1

0

0.989107

0.97549

0

1

0

1

0.003175

false

0

0.009524

0

0.012698

0.003175

0

1

null

0

1

0

1

null

1

0

5

9f2bc3480539612d7566c589a61c50774458c0ea

285

py

Python

tests/test_either/test_either_from.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

4

2020-05-26T19:05:48.000Z

2021-06-28T15:30:21.000Z

tests/test_either/test_either_from.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

null

tests/test_either/test_either_from.py

flpStrri/tupperware

23e241d49d56e5a94044258c5056bd9486e34c5f

[ "BSD-2-Clause" ]

null

from tupperware.either import Either, Left, Right def test_should_return_right_when_creating_either_from_value(): assert Either.from_value(2) == Right(2) def test_should_return_right_when_creating_either_from_failure(): assert Either.from_failure("error") == Left("error")

28.5

65

0.8

41

285

5.121951

0.414634

0.190476

0.12381

0.180952

0.438095

0

0.007843

0.105263

285

9

66

31.666667

0.815686

0

0.035088

0

0.4

1

0.4

true

0

0.2

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9f4f6cd8443af9de1afb0985f45ae43d6f0f3a35

499

py

Python

bg.py

Blue-IT-Marketing/p2ploans.site

0666771a604d1410155baff252b0053e04ef719c

[ "MIT" ]

null

bg.py

Blue-IT-Marketing/p2ploans.site

0666771a604d1410155baff252b0053e04ef719c

[ "MIT" ]

null

bg.py

Blue-IT-Marketing/p2ploans.site

0666771a604d1410155baff252b0053e04ef719c

[ "MIT" ]

3

2019-01-14T09:21:17.000Z

2019-08-15T20:28:11.000Z

import os import webapp2 import jinja2 from google.appengine.ext import ndb from google.appengine.api import users from google.appengine.api import mail import datetime,random,string from google.appengine.api import memcache import logging #Jinja Loader template_env = jinja2.Environment( loader=jinja2.FileSystemLoader(os.getcwd())) class bgDataHandler(webapp2.RequestHandler): def get(self): pass app = webapp2.WSGIApplication([ ('/bg/data', bgDataHandler), ], debug=True)

18.481481

44

0.773547

63

499

6.111111

0.587302

0.103896

0.197403

0.171429

0.218182

0

0.013921

0.136273

499

26

45

19.192308

0.87935

0.024048

0

0.016495

0

1

0.058824

false

0.058824

0.529412

0

0.647059

0

null

0

1

0

null

0

1

0

1

0

5

9f7359dd1fef14ea6f61df6a19d37f68371c6a13

41

py

Python

accounts/tests.py

sahilr05/sitechecker

9c5d99109cfe2cbf46eb9f3cb397fc0f3505f039

[ "MIT" ]

2

2021-02-21T09:24:54.000Z

2021-05-12T18:42:37.000Z

accounts/tests.py

sahilr05/sitechecker

9c5d99109cfe2cbf46eb9f3cb397fc0f3505f039

[ "MIT" ]

null

accounts/tests.py

sahilr05/sitechecker

9c5d99109cfe2cbf46eb9f3cb397fc0f3505f039

[ "MIT" ]

null

from django.test import TestCase # NOQA

20.5

40

0.780488

6

41

5.333333

1

0

0.170732

41

1

41

0.941176

0.097561

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9f7e44470aaf0ab86f5a3f1c931a0ac9a41312eb

18

py

Python

mejora-actual.py

Kotov2002/python

e74751ac3fff40f9c360fdb7471a88e69cbacbc8

[ "MIT" ]

null

mejora-actual.py

Kotov2002/python

e74751ac3fff40f9c360fdb7471a88e69cbacbc8

[ "MIT" ]

null

mejora-actual.py

Kotov2002/python

e74751ac3fff40f9c360fdb7471a88e69cbacbc8

[ "MIT" ]

null

print(Hola Mundo)

9

17

0.777778

3

18

4.666667

1

0

0.111111

18

1

18

0.875

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

9f8ce0c20d0161d837b22d70d8356f56bb05d05e

153

py

Python

python/fedml/model/__init__.py

NCLPhD/FedML

ffa15262ee963b9c856f34f0b2202f4dfeb3a76b

[ "Apache-2.0" ]

null

python/fedml/model/__init__.py

NCLPhD/FedML

ffa15262ee963b9c856f34f0b2202f4dfeb3a76b

[ "Apache-2.0" ]

null

python/fedml/model/__init__.py

NCLPhD/FedML

ffa15262ee963b9c856f34f0b2202f4dfeb3a76b

[ "Apache-2.0" ]

null

from .mobile.mnn_lenet import create_mnn_lenet5_model from .model_hub import ( create, ) __all__ = [ "create", "create_mnn_lenet5_model", ]

15.3

53

0.712418

20

153

4.85

0.5

0.247423

0.309278

0.412371

0

0.016129

0.189542

153

9

54

17

0.766129

0

0.189542

0.150327

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

9f9fe34f172efef0e311f07b1e923d427867174f

390

py

Python

django_green_grove/backends.py

dreipol/django-green-grove

32a32ff6919a72d0544baaae9707827fa7d69414

[ "MIT" ]

2

2017-06-28T19:29:37.000Z

2017-07-01T22:50:05.000Z

django_green_grove/backends.py

dreipol/django-green-grove

32a32ff6919a72d0544baaae9707827fa7d69414

[ "MIT" ]

null

django_green_grove/backends.py

dreipol/django-green-grove

32a32ff6919a72d0544baaae9707827fa7d69414

[ "MIT" ]

null

from django.conf import settings from storages.backends.s3boto import S3BotoStorage class BackupStorage(S3BotoStorage): access_key = getattr(settings, 'BACKUP_BUCKET_AWS_ACCESS_KEY_ID') secret_key = getattr(settings, 'BACKUP_BUCKET_AWS_SECRET_ACCESS_KEY') bucket_name = getattr(settings, 'BACKUP_BUCKET_BUCKET_NAME') location = getattr(settings, 'BACKUP_BUCKET_LOCATION')

39

73

0.810256

48

390

6.208333

0.4375

0.201342

0.281879

0.362416

0.221477

0

0.008671

0.112821

390

9

74

43.333333

0.852601

0

0.289744

0

1

0

false

0

0.285714

0

1

0

null

1

0

1

0

null

0

1

0

5

9fae572fc749768feaa3a1c0032156b7d33c23ac

1,367

py

Python

python/008/008.py

seaneshbaugh/rosetta-euler

14f24dfc347e7d9a4c9c0f090acf2811aa65f453

[ "MIT" ]

36

2015-01-24T08:11:52.000Z

2021-03-21T00:32:00.000Z

python/008/008.py

seaneshbaugh/rosetta-euler

14f24dfc347e7d9a4c9c0f090acf2811aa65f453

[ "MIT" ]

null

python/008/008.py

seaneshbaugh/rosetta-euler

14f24dfc347e7d9a4c9c0f090acf2811aa65f453

[ "MIT" ]

4

2015-01-24T08:17:42.000Z

2022-01-11T16:10:56.000Z

from operator import mul from functools import reduce def each_cons(l, n): return [l[i : i + n] for i in range(len(l) - n + 1)] x = ("73167176531330624919225119674426574742355349194934" "96983520312774506326239578318016984801869478851843" "85861560789112949495459501737958331952853208805511" "12540698747158523863050715693290963295227443043557" "66896648950445244523161731856403098711121722383113" "62229893423380308135336276614282806444486645238749" "30358907296290491560440772390713810515859307960866" "70172427121883998797908792274921901699720888093776" "65727333001053367881220235421809751254540594752243" "52584907711670556013604839586446706324415722155397" "53697817977846174064955149290862569321978468622482" "83972241375657056057490261407972968652414535100474" "82166370484403199890008895243450658541227588666881" "16427171479924442928230863465674813919123162824586" "17866458359124566529476545682848912883142607690042" "24219022671055626321111109370544217506941658960408" "07198403850962455444362981230987879927244284909188" "84580156166097919133875499200524063689912560717606" "05886116467109405077541002256983155200055935729725" "71636269561882670428252483600823257530420752963450") print(max([reduce(mul, [int(digit) for digit in digits]) for digits in each_cons(x, 5)]))

47.137931

89

0.84199

64

1,367

17.953125

0.703125

0.013925

0

0.817292

0.103146

1,367

28

90

48.821429

0.119902

0

0.731529

0

1

0.04

false

0

0.08

0.04

0.16

0.04

0

1

null

0

1

0

1

0

1

null

0

5

9fafb16f755f033a72ed2509ed6c9611ba471a3e

134

py

Python

dodo.py

philippjfr/datashader

eb9218cb810297aea2ae1030349cef6a6f3ab3cb

[ "BSD-3-Clause" ]

39

2016-07-06T21:38:39.000Z

2021-08-05T06:46:02.000Z

dodo.py

philippjfr/datashader

eb9218cb810297aea2ae1030349cef6a6f3ab3cb

[ "BSD-3-Clause" ]

72

2016-04-21T13:22:57.000Z

2018-09-21T19:40:09.000Z

dodo.py

philippjfr/datashader

eb9218cb810297aea2ae1030349cef6a6f3ab3cb

[ "BSD-3-Clause" ]

10

2016-04-19T07:57:27.000Z

2018-05-25T00:26:35.000Z

import os if "PYCTDEV_ECOSYSTEM" not in os.environ: os.environ["PYCTDEV_ECOSYSTEM"] = "conda" from pyctdev import * # noqa: api

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5

4c9a62a82cf65e7093da7fdfd275ac6db00cf5eb

15,455

py

Python

challenge-2/main.py

DanielYosilevich/gae

8b24ce61a257d269ab2d20d7ad37c5cf50a32b25

[ "MIT" ]

null

challenge-2/main.py

DanielYosilevich/gae

8b24ce61a257d269ab2d20d7ad37c5cf50a32b25

[ "MIT" ]

null

challenge-2/main.py

DanielYosilevich/gae

8b24ce61a257d269ab2d20d7ad37c5cf50a32b25

[ "MIT" ]

null

from google.appengine.ext import ndb import webapp2 import json class MainPage(webapp2.RequestHandler): def get(self): self.response.out.write(""" <html> <head> <title>Backend Challenge</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Backend Challenge </h2> <hr> </header> <main> <div class = forms-wrapper> <span>SET</span> <div class = form-container> <form action="/set" method="get"> <input name="name" placeholder = "Name" required> <input name="value" placeholder = "Value" required> <input type="submit" value="Query"> </form> </div> <span>UNSET</span> <div class = form-container> <form action="/unset" method="get"> <input name="name" placeholder = "Name" required> <input type="submit" value="Query"> </form> </div> <span>GET</span> <div class = form-container> <form action="/get" method="get"> <input name="name" placeholder = "Name" required> <input type="submit" value="Query"> </form> </div> <span>NUM_EQUAL_TO</span> <div class = form-container> <form action="/numequalto" method="get"> <input name="value" placeholder = "Value" required> <input type="submit" value="Query"> </form> </div> <div class = form-container> <form action="/entries" method="get"> <input type="submit" value="Entries List"> </form> </div> <div class = form-container> <form action="/undo" method="get"> <input type="submit" value="Undo"> </form> </div> <div class = form-container> <form action="/undotracker" method="get"> <input type="submit" value="Undo Tracker"> </form> </div> <div class = form-container> <form action="/redo" method="get"> <input type="submit" value="Redo"> </form> </div> <div class = form-container> <form action="/redotracker" method="get"> <input type="submit" value="Redo Tracker"> </form> </div> <div class = form-container> <form action="/clean" method="get"> <input type="submit" value="Clean"> </form> </div> </div> </main> </body> </html>""" ) class Item(ndb.Model): name = ndb.StringProperty() value = ndb.StringProperty() class ActionU(ndb.Model): item_id = ndb.StringProperty() item_val_prev = ndb.StringProperty() item_val_curr = ndb.StringProperty() op = ndb.StringProperty() date = ndb.DateTimeProperty(auto_now_add=True) class ActionR(ndb.Model): item_id = ndb.StringProperty() item_val_prev = ndb.StringProperty() item_val_curr = ndb.StringProperty() op = ndb.StringProperty() date = ndb.DateTimeProperty(auto_now_add=True) class SetPage(webapp2.RequestHandler): def get(self): q = ActionR.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) name = self.request.get('name') value = self.request.get('value') key = ndb.Key('Item',name) item = key.get() item_id = name if not item: op = 'INITIAL_SET' item_val_prev = 'NONE' else: op = 'SET' item_val_prev = item.value action = ActionU(op = op,item_id = item_id,item_val_prev = item_val_prev ,item_val_curr = value) action.put() item = Item(id=name) item.name = name item.value = value res = map(str,name + ' was set to: ' + value) item.put() self.response.write(""" <html> <head> <script> var res = %s </script> <title>Set</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2>Set</h2> <hr> </header> <main> <div data-v="item"></div> <hr> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "item"]').innerHTML = res.join(''); </script> </body> </html>""" % (res)) class UnsetPage(webapp2.RequestHandler): def get(self): q = ActionR.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) name = self.request.get('name') key = ndb.Key('Item',name) item = key.get() if not item: res = map(str,'No Entry with name: ' + name + '!') else: action = ActionU(op = 'UNSET',item_id = name,item_val_prev = item.value ,item_val_curr = 'NONE') action.put() item.key.delete() res = map(str,'Entry with name: ' + name + ' was sucessfully removed!') self.response.write(""" <html> <head> <script> var res = %s </script> <title>Unset</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2>Unset</h2> <hr> </header> <main> <div data-v="item"></div> <hr> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "item"]').innerHTML = res.join(''); </script> </body> </html>""" % (res)) class GetPage(webapp2.RequestHandler): def get(self): q = ActionR.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) name = self.request.get('name') q = Item.query(Item.name == name).fetch() res = map(str,q) nam = map(str,name) self.response.write(""" <html> <head> <script> var res = %s var nam = %s let val if(res.length) val = res.join('').split(',')[3].slice(8,-1) else val = 'NONE' </script> <title>Get</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2>Get</h2> <hr> </header> <main> <div data-v="item"></div> <hr> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "item"]').innerHTML = `Name <span>${nam.join('')}</span> matches value <span>${val}</span>!`; </script> </body> </html>""" % (res,nam)) class NumEqualToPage(webapp2.RequestHandler): def get(self): q = ActionR.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) value = self.request.get('value') q = Item.query(Item.value == value).fetch() res = map(str,q) val = map(str,value) self.response.write(""" <html> <head> <script> var res = %s var val = %s </script> <title>NumEqualTo</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2>NumEqualTo</h2> <hr> </header> <main> <div data-v="item"></div> <hr> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "item"]').innerHTML = `Value <span>${val.join('')}</span> matched <span>${res.length}</span> entries!`; </script> </body> </html>""" % (res,val)) class EntriesPage(webapp2.RequestHandler): def get(self): q = Item.query().fetch() a = map(str, q) self.response.write(""" <html> <head> <script> var a = %s </script> <title>Database entries</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Database Entries </h2> <hr> </header> <main> <div data-v = "list"></div> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> let st = `<ul>`; a.forEach((el) => st += `<li> ${el} </li>`) st += `</ul> <hr>` document.querySelector('[data-v = "list"]').innerHTML = st; </script> </body> </html>""" % (a)) class UndoPage(webapp2.RequestHandler): def get(self): q = ndb.gql("SELECT * FROM ActionU ORDER BY date DESC") row = q.get() if not row: o = json.dumps('NONE') num = json.dumps('NONE') prev = json.dumps('NONE') curr = json.dumps('NONE') else: action = ActionR(op = row.op,item_id = row.item_id,item_val_prev = row.item_val_prev ,item_val_curr = row.item_val_curr) action.put() o = json.dumps(row.op) prev = json.dumps(row.item_val_prev) curr = json.dumps(row.item_val_curr) num = json.dumps(row.item_id) if row.op == 'INITIAL_SET': key = ndb.Key('Item',row.item_id) item = key.get() item.key.delete() else: item = Item(id=row.item_id) item.name = row.item_id item.value = row.item_val_prev item.put() key = row.key action = key.get() action.key.delete() self.response.write(""" <html> <head> <script> var o = %s var num = %s var prev = %s var curr = %s </script> <title>Undo</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Undo </h2> <hr> </header> <main> <div data-v = "list"></div> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "list"]').innerHTML = (o !== 'NONE') ? ` Operation ${o} ${num} ${curr} was undone!` : 'Nothing to Undo!' </script> </body> </html>""" % (o,num,prev,curr)) class UndoTrackerPage(webapp2.RequestHandler): def get(self): q = ActionU.query().fetch() a = map(str, q) self.response.write(""" <html> <head> <script> var a = %s </script> <title>Undo Tracker</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Undo Tracker </h2> <hr> </header> <main> <div data-v = "list"></div> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> let st = `<ul>`; a.forEach((el) => st += `<li> ${el} </li>`) st += `</ul> <hr>` document.querySelector('[data-v = "list"]').innerHTML = st; </script> </body> </html>""" % (a)) class RedoPage(webapp2.RequestHandler): def get(self): q = ndb.gql("SELECT * FROM ActionR ORDER BY date DESC") row = q.get() if not row: o = json.dumps('NONE') num = json.dumps('NONE') prev = json.dumps('NONE') curr = json.dumps('NONE') else: o = json.dumps(row.op) prev = json.dumps(row.item_val_prev) curr = json.dumps(row.item_val_curr) num = json.dumps(row.item_id) item = Item(id=row.item_id) item.name = row.item_id item.value = row.item_val_curr item.put() key = row.key action = key.get() action.key.delete() self.response.write(""" <html> <head> <script> var o = %s var num = %s var prev = %s var curr = %s </script> <title>Redo</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Redo </h2> <hr> </header> <main> <div data-v = "list"></div> <br> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> document.querySelector('[data-v = "list"]').innerHTML = (o !== 'NONE') ? ` Performed backroll to operation ${o} ${num} ${curr}!` : 'Nothing to Redo!' </script> </body> </html>""" % (o,num,prev,curr)) class RedoTrackerPage(webapp2.RequestHandler): def get(self): q = ActionR.query().fetch() a = map(str, q) self.response.write(""" <html> <head> <script> var a = %s </script> <title>Redo Tracker</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2> Redo Tracker </h2> <hr> </header> <main> <div data-v = "list"></div> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> <script> let st = `<ul>`; a.forEach((el) => st += `<li> ${el} </li>`) st += `</ul> <hr>` document.querySelector('[data-v = "list"]').innerHTML = st; </script> </body> </html>""" % (a)) class CleanPage(webapp2.RequestHandler): def get(self): q = Item.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) q = ActionU.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) q = ActionR.query().fetch() list_of_keys = ndb.put_multi(q) ndb.delete_multi(list_of_keys) self.response.write(""" <html> <head> <title>Clean Database</title> <link rel="stylesheet" type="text/css" href="/css/main.css" /> </head> <body> <header> <h2>Clean Database </h2> <hr> </header> <main> <h3>Removed All Database Entries!</h3> <form action="/" method="get"> <div><input type="submit" value="Home"></div> </form> </main> </body> </html>""" ) app = webapp2.WSGIApplication([ ('/', MainPage), ('/set', SetPage), ('/unset', UnsetPage), ('/get', GetPage), ('/numequalto', NumEqualToPage), ('/entries', EntriesPage), ('/undo', UndoPage), ('/undotracker', UndoTrackerPage), ('/redo', RedoPage), ('/redotracker', RedoTrackerPage), ('/clean', CleanPage) ], debug=True)

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15,455

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0

1

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1

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null

0

5

4c9a7293f30f645d3f6318bcf058570c0a4549b7

2,783

py

Python

etl/parsers/etw/Microsoft_Windows_Shell_DefaultPrograms.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

104

2020-03-04T14:31:31.000Z

2022-03-28T02:59:36.000Z

etl/parsers/etw/Microsoft_Windows_Shell_DefaultPrograms.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

7

2020-04-20T09:18:39.000Z

2022-03-19T17:06:19.000Z

etl/parsers/etw/Microsoft_Windows_Shell_DefaultPrograms.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

16

2020-03-05T18:55:59.000Z

2022-03-01T10:19:28.000Z

# -*- coding: utf-8 -*- """ Microsoft-Windows-Shell-DefaultPrograms GUID : 65d99466-7a8e-489c-b8e1-962bc945031e """ from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct from etl.utils import WString, CString, SystemTime, Guid from etl.dtyp import Sid from etl.parsers.etw.core import Etw, declare, guid @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=1, version=0) class Microsoft_Windows_Shell_DefaultPrograms_1_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=2, version=0) class Microsoft_Windows_Shell_DefaultPrograms_2_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=3, version=0) class Microsoft_Windows_Shell_DefaultPrograms_3_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=4, version=0) class Microsoft_Windows_Shell_DefaultPrograms_4_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=5, version=0) class Microsoft_Windows_Shell_DefaultPrograms_5_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=6, version=0) class Microsoft_Windows_Shell_DefaultPrograms_6_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=7, version=0) class Microsoft_Windows_Shell_DefaultPrograms_7_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul ) @declare(guid=guid("65d99466-7a8e-489c-b8e1-962bc945031e"), event_id=8, version=0) class Microsoft_Windows_Shell_DefaultPrograms_8_0(Etw): pattern = Struct( "SqmSessionGuid" / Guid, "SqmID" / Int32ul, "SqmType" / Int32ul, "SqmDWORDDatapointValue" / Int32ul )

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0.19691

2,783

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124

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0

null

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1

0

1

0

null

0

5

4cfdf9fcab18ae799fc3f87cede5e51e242a052d

117

py

Python

data/__init__.py

Amirelkanov/AmEl_Tourism_VK

cc5a0cb0ca3a3ac91ab5ec05ae878fc0b82d7768

[ "Apache-2.0" ]

1

2020-04-15T09:00:59.000Z

data/__init__.py

Amirelkanov/AmEl_Tourism_VK

cc5a0cb0ca3a3ac91ab5ec05ae878fc0b82d7768

[ "Apache-2.0" ]

null

data/__init__.py

Amirelkanov/AmEl_Tourism_VK

cc5a0cb0ca3a3ac91ab5ec05ae878fc0b82d7768

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- from .articles import Article, Category from .user_info import VKUserInfo

19.5

39

0.717949

16

117

5.1875

0.875

0

0.009901

0.136752

117

5

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true

0

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null

0

1

0

null

0

1

0

1

0

1

0

5

9810da4a18019e06ee3f11864903aa81e016d205

2,724

py

Python

tests/test_decorator.py

filipre/signalbot

781aace7fba553beaf76ec4ed70412eb07a4ac81

[ "MIT" ]

8

2021-11-21T22:19:19.000Z

2022-03-25T01:26:51.000Z

tests/test_decorator.py

filipre/signalbot

781aace7fba553beaf76ec4ed70412eb07a4ac81

[ "MIT" ]

9

2022-02-28T10:01:23.000Z

2022-03-14T06:03:44.000Z

tests/test_decorator.py

filipre/signalbot

781aace7fba553beaf76ec4ed70412eb07a4ac81

[ "MIT" ]

null

import unittest from unittest.mock import patch import logging from signalbot import Command, Context, triggered from signalbot.utils import ChatTestCase, SendMessagesMock, ReceiveMessagesMock class TriggeredCommand(Command): def describe(self) -> str: return "😤 Triggered Command: Decorator Example" @triggered("Trump", "Biden") async def handle(self, c: Context): await c.send("I am triggered") class TriggeredCaseSensitiveCommand(Command): def describe(self) -> str: return "😤 Triggered Command: Decorator Example" @triggered("Trump", "Biden", case_sensitive=True) async def handle(self, c: Context): await c.send("I am triggered") class TriggeredTest(ChatTestCase): def setUp(self): super().setUp() self.signal_bot.register(TriggeredCommand()) @patch("signalbot.SignalAPI.send", new_callable=SendMessagesMock) @patch("signalbot.SignalAPI.receive", new_callable=ReceiveMessagesMock) async def test_triggered(self, receive_mock, send_mock): receive_mock.define(["Trump"]) await self.run_bot() self.assertEqual(send_mock.call_count, 1) @patch("signalbot.SignalAPI.send", new_callable=SendMessagesMock) @patch("signalbot.SignalAPI.receive", new_callable=ReceiveMessagesMock) async def test_also_triggered(self, receive_mock, send_mock): receive_mock.define(["Biden"]) await self.run_bot() self.assertEqual(send_mock.call_count, 1) @patch("signalbot.SignalAPI.send", new_callable=SendMessagesMock) @patch("signalbot.SignalAPI.receive", new_callable=ReceiveMessagesMock) async def test_not_triggered(self, receive_mock, send_mock): receive_mock.define(["Scholz"]) await self.run_bot() self.assertEqual(send_mock.call_count, 0) class TriggeredCaseSensitiveTest(ChatTestCase): def setUp(self): super().setUp() self.signal_bot.register(TriggeredCaseSensitiveCommand()) @patch("signalbot.SignalAPI.send", new_callable=SendMessagesMock) @patch("signalbot.SignalAPI.receive", new_callable=ReceiveMessagesMock) async def test_triggered(self, receive_mock, send_mock): receive_mock.define(["Trump"]) await self.run_bot() self.assertEqual(send_mock.call_count, 1) @patch("signalbot.SignalAPI.send", new_callable=SendMessagesMock) @patch("signalbot.SignalAPI.receive", new_callable=ReceiveMessagesMock) async def test_not_triggered(self, receive_mock, send_mock): receive_mock.define(["trump"]) await self.run_bot() self.assertEqual(send_mock.call_count, 0) if __name__ == "__main__": logging.basicConfig(level="INFO") unittest.main()

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6.165049

0.210356

0.073491

0.120735

0.070866

0.79685

0.771129

0

0.002205

0.167401

2,724

75

80

36.32

0.836861

0

0.655172

0

0.153084

0.093612

0

0.086207

1

0.068966

false

0

0.086207

0.034483

0.258621

0

null

0

1

0

null

0

5

981747046b424e96fd1e39cd36ec771602926ebf

96

py

Python

app/tests/runtest.py

yeyan00/fastapi-demo

ac3a7c5942ded55e832a5354c0cb056044c38dd6

[ "Apache-2.0" ]

4

2020-12-22T17:23:57.000Z

2021-12-20T01:28:25.000Z

app/tests/runtest.py

yeyan00/fastapi-tutorial

7432e4f95bc7630456e9f186a8104bc4e3ae5f81

[ "Apache-2.0" ]

null

app/tests/runtest.py

yeyan00/fastapi-tutorial

7432e4f95bc7630456e9f186a8104bc4e3ae5f81

[ "Apache-2.0" ]

null

import pytest if __name__ == "__main__": #pytest.main(['-s', 'test_2.py']) pytest.main()

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37

0.614583

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96

3.846154

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0

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4

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24

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null

0

1

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1

0

5

e24008bc003819e07db34dbf89677cf3bf061489

33

py

Python

src/repositories/__init__.py

ramasubbaiya/flask-api-starter-kit

3f00769f349908ffa5ccc7acb332d70e1f2c6f6f

[ "MIT" ]

393

2016-11-21T10:52:01.000Z

2022-03-28T13:37:27.000Z

src/repositories/__init__.py

Faisal-FS/flask-api-starter-kit

d8a1cfd7428684114c4acd9cc432d1f5fdbe0f19

[ "MIT" ]

10

2019-09-04T03:43:35.000Z

2019-09-11T06:35:22.000Z

src/repositories/__init__.py

Faisal-FS/flask-api-starter-kit

d8a1cfd7428684114c4acd9cc432d1f5fdbe0f19

[ "MIT" ]

127

2017-04-20T11:33:00.000Z

2022-03-28T06:28:44.000Z

from .user import UserRepository

16.5

32

0.848485

4

33

7

1

0

0.121212

33

1

33

0.965517

0

1

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true

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1

0

null

0

1

0

null

0

1

0

1

0

5

e27a6048aa1ab6fd36f4fefebd86011ae06f5260

142

py

Python

modules/__init__.py

MirPresT/factvest

864ff8d22b5387531c57538242c57ee0fdba509b

[ "MIT" ]

null

modules/__init__.py

MirPresT/factvest

864ff8d22b5387531c57538242c57ee0fdba509b

[ "MIT" ]

null

modules/__init__.py

MirPresT/factvest

864ff8d22b5387531c57538242c57ee0fdba509b

[ "MIT" ]

null

from .priceHistory import PriceHistory from .returnHistory import ReturnHistory from .performance import Performance from .price import Price

28.4

40

0.859155

16

142

7.625

0.375

0

0.112676

142

4

41

35.5

0.968254

0

1

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true

0

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e29a8844944de3994b1295693fd23c2eec894704

156

py

Python

staticforms/handlers/ping.py

unocongafas/staticforms

d16d298fcb4b18f2a8658ba40c1ee14e17dd8305

[ "Apache-2.0" ]

null

staticforms/handlers/ping.py

unocongafas/staticforms

d16d298fcb4b18f2a8658ba40c1ee14e17dd8305

[ "Apache-2.0" ]

null

staticforms/handlers/ping.py

unocongafas/staticforms

d16d298fcb4b18f2a8658ba40c1ee14e17dd8305

[ "Apache-2.0" ]

null

"""Ping.""" from starlette.responses import UJSONResponse async def get(request): """Handle ping request.""" return UJSONResponse({'pong': True})

19.5

45

0.685897

17

156

6.294118

0.823529

0

0.153846

156

7

46

22.285714

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0.032051

0

0.033613

0

1

0

true

0

0.333333

0

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0

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null

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1

0

null

0

1

0

1

0

1

0

5

e2a07c0c3d200381d80c2e568c829b3f1e51ff66

161

py

Python

Aula_55/dao/livro_dao.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

Aula_55/dao/livro_dao.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

Aula_55/dao/livro_dao.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

from Aula_55.dao.base_dao import BaseDao from Aula_55.model.livro import Livro class LivroDao(BaseDao): def __init__(self): super().__init__(Livro)

23

40

0.745342

24

161

4.541667

0.625

0.146789

0.183486

0

0.02963

0.161491

161

6

41

26.833333

0.777778

0

1

0.2

false

0

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0

1

0

null

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1

0

1

0

null

0

1

0

1

0

5

2c9ce5e90582090ff1877f5b99ab86154c50d543

4,854

py

Python

pkmodel/check_inputs.py

NERC-DTP-Students/pk-project

36c1e52f5dcdb5cfb2c59b3d6a4bde415ff71e94

[ "MIT" ]

null

pkmodel/check_inputs.py

NERC-DTP-Students/pk-project

36c1e52f5dcdb5cfb2c59b3d6a4bde415ff71e94

[ "MIT" ]

9

2021-10-21T09:47:30.000Z

2021-10-21T16:05:26.000Z

pkmodel/check_inputs.py

NERC-DTP-Students/pk-project

36c1e52f5dcdb5cfb2c59b3d6a4bde415ff71e94

[ "MIT" ]

null

def check_inputs(number_of_models, model_1_inputs, model_2_inputs=None): """Checks that the user inputs make logical sense e.g. have they specified the number of models to be 2 but only given data for one model.""" # check model comparison information # check model 2 is added if number of models is set to 2 if number_of_models == 2 and model_2_inputs is None: raise ValueError("Expect model 2 data and got None. To fix either set number_of_models = 1 \ or enter data for Model 2") # warning if number of models is set to 1 but data for model 2 exists if number_of_models == 1 and model_2_inputs is not None: print("Warning: model 2 data will not be used. \ To fix set number_of_models = 2.") # check model 1 data # warning if instantenous dose is specified # but no times are given for the dose if model_1_inputs["m1_instantaneous_dose_amount"] != 0 \ and model_1_inputs["m1_dose_times"] == []: raise ValueError("Warning: enter times for instantenous dose \ or set m1_instantaneous_dose_amount to 0.") # warning if times are given for the instantanous dose # but no dose quantity is given if model_1_inputs["m1_instantaneous_dose_amount"] == 0 \ and model_1_inputs["m1_dose_times"]: print("Warning: no m1_instantenous_dose_amount entered") # warnings if compartment volumes are zero or negative if model_1_inputs["m1_volume_c"] <= 0: raise ValueError("Set m1_volume_c to a positive value.") if model_1_inputs["m1_volume_1"] <= 0: raise ValueError("Set m1_volume_1 to a positive value.") if model_1_inputs["m1_number_of_compartments"] == 2 \ and model_1_inputs["m1_volume_2"] <= 0: raise ValueError("Set m1_volume_2 to a positive value \ or set m1_number_of_compartments to 1.") # warning if size of second peripheral compartment is non-zero # and number of compartments is set to 1 if model_1_inputs["m1_number_of_compartments"] == 1 \ and model_1_inputs["m1_volume_2"] != 0: print("Warning: 2nd peripheral compartment won't be included. \ Set m1_number_of_compartments to 2 to include.") # warning if dosing is set to subcutaneous but ka is 0 if model_1_inputs["m1_dose_entry"] == 'subcutaneous' \ and model_1_inputs["m1_k_a"] == 0: print("Warning: Dosing is set to subcutaneous and ka = 0 \ so dose won't be absorbed.") # warning if dosing is not subcutenous but ka is non-zero if model_1_inputs["m1_dose_entry"] != 'subcutaneous' \ and model_1_inputs["m1_k_a"] != 0: print("Warning: m1_dose_entry not subcutaneous \ so dose compartment won't be added.") # check model 2 data # warning if instantenous dose is specified # but no times are given for the dose if model_2_inputs["m2_instantaneous_dose_amount"] != 0 \ and model_2_inputs["m2_dose_times"] == []: raise ValueError("Warning: enter times for instantenous dose \ or set m2_instantaneous_dose_amount to 0.") # warning if times are given for the instantanous dose # but no dose quantity is given if model_2_inputs["m2_instantaneous_dose_amount"] == 0 \ and model_2_inputs["m2_dose_times"]: print("Warning: no m2_instantenous_dose_amount entered") # warnings if compartment volumes are zero or negative if model_2_inputs["m2_volume_c"] <= 0: raise ValueError("Set m2_volume_c to a positive value.") if model_2_inputs["m2_volume_1"] <= 0: raise ValueError("Set m2_volume_1 to a positive value.") if model_2_inputs["m2_number_of_compartments"] == 2 \ and model_2_inputs["m2_volume_2"] <= 0: raise ValueError("Set m2_volume_2 to a positive value \ or set m2_number_of_compartments to 1.") # warning if size of second peripheral compartment is non-zero # and number of compartments is set to 1 if model_2_inputs["m2_number_of_compartments"] == 1 \ and model_2_inputs["m2_volume_2"] != 0: print("Warning: 2nd peripheral compartment won't be included. \ Set m2_number_of_compartments to 2 to include.") # warning if dosing is set to subcutaneous but ka is 0 if model_2_inputs["m2_dose_entry"] == 'subcutaneous' \ and model_2_inputs["m2_k_a"] == 0: print("Warning: Dosing is set to subcutaneous and ka = 0 \ so dose won't be absorbed.") # warning if dosing is not subcutenous but ka is non-zero if model_2_inputs["m2_dose_entry"] != 'subcutaneous' \ and model_2_inputs["m2_k_a"] != 0: print("Warning: m2_dose_entry not subcutaneous \ so dose compartment won't be added.")

44.127273

100

0.671817

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4,854

4.142473

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0.066191

0.063595

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0

0.036844

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109

101

44.53211

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0

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0

null

0

1

0

1

0

null

0

5

e2bdced932cce98369b2f9ffdcacba397a7aa2a2

437

py

Python

8kyu/test_get_nth_even_number.py

adun/codewars.py

89e7d81e9ca05a432007d634892c1cba28f5b715

[ "MIT" ]

null

8kyu/test_get_nth_even_number.py

adun/codewars.py

89e7d81e9ca05a432007d634892c1cba28f5b715

[ "MIT" ]

null

8kyu/test_get_nth_even_number.py

adun/codewars.py

89e7d81e9ca05a432007d634892c1cba28f5b715

[ "MIT" ]

null

# Return the Nth Even Number # nthEven(1) //=> 0, the first even number is 0 # nthEven(3) //=> 4, the 3rd even number is 4 (0, 2, 4) # nthEven(100) //=> 198 # nthEven(1298734) //=> 2597466 # The input will not be 0. def nth_even(n): return 2 * (n - 1) def test_nth_even(): assert nth_even(1) == 0 assert nth_even(2) == 2 assert nth_even(3) == 4 assert nth_even(100) == 198 assert nth_even(1298734) == 2597466

23

55

0.613272

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0.176119

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1

0

null

0

1

0

1

0

1

0

5

e2d587c1a192a050e59a9489002e9b85119c5a80

95

py

Python

analysis/__init__.py

teacup123123/fx-predictor

5c25b6f0cb5435a2294262f4ac2681b38abb1dac

[ "MIT" ]

null

analysis/__init__.py

teacup123123/fx-predictor

5c25b6f0cb5435a2294262f4ac2681b38abb1dac

[ "MIT" ]

null

analysis/__init__.py

teacup123123/fx-predictor

5c25b6f0cb5435a2294262f4ac2681b38abb1dac

[ "MIT" ]

null

import os.path root, _ = os.path.split(__file__) pickles_root = os.path.join(root, 'pickles')

19

44

0.726316

15

95

4.2

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0

1

0

null

0

1

0

5

3929a5ceeb4b46cf45ac3e647d20880ea2937e33

57

py

Python

package_creator/__init__.py

gavinhughpalmer/sfdc-field-creator

7cd3fb2382b435e70c71dc4ef9a5de797dab4b8d

[ "MIT" ]

1

2019-10-07T20:01:41.000Z

package_creator/__init__.py

gavinhughpalmer/sfdc-field-creator

7cd3fb2382b435e70c71dc4ef9a5de797dab4b8d

[ "MIT" ]

null

package_creator/__init__.py

gavinhughpalmer/sfdc-field-creator

7cd3fb2382b435e70c71dc4ef9a5de797dab4b8d

[ "MIT" ]

2

2019-04-02T18:50:15.000Z

2021-05-06T20:41:04.000Z

from package_creator.config_manager import ConfigManager

28.5

56

0.912281

7

57

7.142857

1

0

0.070175

57

1

57

0.943396

0

1

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1a76a7b2bac4a3896503a2c3a27ddc7c43571748

133

py

Python

sites/moodle/get_website_url.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

15

2020-03-17T15:43:46.000Z

2022-01-08T04:23:49.000Z

sites/moodle/get_website_url.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

5

2020-03-12T10:05:27.000Z

2021-03-03T16:01:47.000Z

sites/moodle/get_website_url.py

GeorgOhneH/ethz-document-fetcher

42921e5d71698a269eb54cf9d3979e4a7d88a9cf

[ "MIT" ]

2

2020-03-17T17:09:20.000Z

2020-12-28T22:59:17.000Z

from .constants import BASE_URL def get_website_url(moodle_id, **kwargs): return BASE_URL + f"/course/view.php?id={moodle_id}"

22.166667

56

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133

4.227273

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0.12782

133

5

57

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null

0

1

0

null

0

1

0

1

0

5

1a8ef1bc92009e30a6a9d036241a67e95834408d

996

py

Python

Packages/Patterns_Packages/Alphabets/Upper_Case_alphabets/S.py

SaikumarS2611/Python

205f5aaba3bd2de714503b5bed8853d24e85329e

[ "MIT" ]

null

Packages/Patterns_Packages/Alphabets/Upper_Case_alphabets/S.py

SaikumarS2611/Python

205f5aaba3bd2de714503b5bed8853d24e85329e

[ "MIT" ]

null

Packages/Patterns_Packages/Alphabets/Upper_Case_alphabets/S.py

SaikumarS2611/Python

205f5aaba3bd2de714503b5bed8853d24e85329e

[ "MIT" ]

null

def for_S(): """ Upper case Alphabet letter 'S' pattern using Python for loop""" for row in range(7): for col in range(5): if row%3==0 and col>0 and col<4 or col==0 and row%3!=0 and row<3 or col==4 and row%3!=0 and row>3: print('*', end = ' ') else: print(' ', end = ' ') print() def while_S(): """ Upper case Alphabet letter 'S' pattern using Python while loop""" row = 0 while row<7: col = 0 while col<5: if row%3==0 and col>0 and col<4 or col==0 and row%3!=0 and row<3 or col==4 and row%3!=0 and row>3: print('*', end = ' ') else: print(' ', end = ' ') col += 1 print() row += 1

36.888889

123

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996

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0.112994

0.158192

0.135593

0.717514

0.474576

0

0.068085

0.528112

996

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124

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0.5

0

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1

0.1

false

0

0.1

0.3

0

null

0

1

0

1

0

null

0

5

1a925cb46f3891f1fdd63403046a5b8d39c0a1ad

229

py

Python

genegram/__init__.py

vadyushkins/Genegram

930d388a90c338fbde998a6be34a29f0a656c288

[ "Apache-2.0" ]

1

2021-11-21T20:41:12.000Z

genegram/__init__.py

vadyushkins/Genegram

930d388a90c338fbde998a6be34a29f0a656c288

[ "Apache-2.0" ]

30

2021-09-16T14:41:46.000Z

2021-10-16T10:43:47.000Z

genegram/__init__.py

vadyushkins/Genegram

930d388a90c338fbde998a6be34a29f0a656c288

[ "Apache-2.0" ]

2

2021-09-07T13:04:27.000Z

2021-09-07T13:05:51.000Z

import genegram.shared from genegram.shared import * import genegram.cfpq_pyalgo from genegram.cfpq_pyalgo import * import genegram.parsing from genegram.parsing import * import genegram.predict from genegram.predict import *

19.083333

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229

6.266667

0.266667

0.297872

0.319149

0

0.117904

229

11

35

20.818182

0.930693

0

1

0

true

0

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1

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null

1

0

null

0

1

0

1

0

1

0

5

1a9e152d6f94befa705236b11f0938129242bf8c

19

py

Python

h2o/__init__.py

iceb0y/pyh2o

619d46bb381a2ad0b99147c8a11271b9cfc6cce2

[ "MIT" ]

21

2016-09-05T08:24:58.000Z

2021-01-12T08:16:02.000Z

h2o/__init__.py

iceboy-sjtu/pyh2o

619d46bb381a2ad0b99147c8a11271b9cfc6cce2

[ "MIT" ]

null

h2o/__init__.py

iceboy-sjtu/pyh2o

619d46bb381a2ad0b99147c8a11271b9cfc6cce2

[ "MIT" ]

2

2017-04-07T13:36:26.000Z

2019-12-31T03:21:37.000Z

from .h2o import *

9.5

18

0.684211

3

19

4.333333

1

0

0.066667

0.210526

19

1

19

0.8

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true

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1

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1

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1

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null

0

1

0

null

0

1

0

1

0

5

1aa1609a1f703471c04dfca75ac6ed0b93ec005a

208

py

Python

mediaman/core/index/base.py

MattCCS/MediaMan

388c0d16da437b0ede4f0903a01e41dc8e927ae6

[ "BSD-3-Clause-Clear" ]

1

2019-05-06T19:51:08.000Z

mediaman/core/index/base.py

MattCCS/MediaMan

388c0d16da437b0ede4f0903a01e41dc8e927ae6

[ "BSD-3-Clause-Clear" ]

1

2021-02-08T20:22:34.000Z

mediaman/core/index/base.py

MattCCS/MediaMan

388c0d16da437b0ede4f0903a01e41dc8e927ae6

[ "BSD-3-Clause-Clear" ]

null

from mediaman.core.index import abstract class BaseIndex(abstract.AbstractIndex): def stats(self): return self.stats.capacity() def capacity(self): return self.service.capacity()

17.333333

40

0.697115

24

208

6.041667

0.625

0.137931

0.193103

0

0.206731

208

11

41

18.909091

0.878788

0

1

0.333333

false

0

0.166667

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1abc2dfe82c091849b7f24bf3182adcbd97f0ced

226

py

Python

stripe_modern/api_resources/reporting/__init__.py

photocrowd/stripe-python

7c705e3d41f38f8524e419eb7ea18c1425a4ad89

[ "MIT" ]

null

stripe_modern/api_resources/reporting/__init__.py

photocrowd/stripe-python

7c705e3d41f38f8524e419eb7ea18c1425a4ad89

[ "MIT" ]

null

stripe_modern/api_resources/reporting/__init__.py

photocrowd/stripe-python

7c705e3d41f38f8524e419eb7ea18c1425a4ad89

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function # flake8: noqa from stripe_modern.api_resources.reporting.report_run import ReportRun from stripe_modern.api_resources.reporting.report_type import ReportType

32.285714

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0.871681

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226

6.166667

0.633333

0.108108

0.172973

0.205405

0.464865

0

0.004831

0.084071

226

6

73

37.666667

0.888889

0.053097

0

1

0

true

0

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1

0.333333

0

null

0

1

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1

0

null

0

1

0

1

0

1

0

5

201f39b869282b1e173c28dc51096f1b3b70a825

87

py

Python

stockmanager/admin.py

JAYBLA/Inventory-Management-System

121882e1846eebe5bb4a99e7c5e92768c813610b

[ "MIT" ]

1

2022-03-12T04:00:10.000Z

stocks/quotes/admin.py

DhruvilShah22/Stock-PortFolio

361060239d8c26e54877a3ecbbddc2c6d64b53be

[ "MIT" ]

null

stocks/quotes/admin.py

DhruvilShah22/Stock-PortFolio

361060239d8c26e54877a3ecbbddc2c6d64b53be

[ "MIT" ]

null

from django.contrib import admin from .models import Stock admin.site.register(Stock)

17.4

32

0.816092

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5.461538

0.692308

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0.114943

87

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1

0

null

0

1

0

1

0

1

0

5

204d3ee53613dc4292c9220909d5e3fa51295f15

1,173

py

Python

gripql/python/gripql/operators.py

pagreene/grip

0ee07f6e14dd5062b88e75efe5263801503792d1

[ "MIT" ]

null

gripql/python/gripql/operators.py

pagreene/grip

0ee07f6e14dd5062b88e75efe5263801503792d1

[ "MIT" ]

null

gripql/python/gripql/operators.py

pagreene/grip

0ee07f6e14dd5062b88e75efe5263801503792d1

[ "MIT" ]

null

from __future__ import absolute_import, print_function, unicode_literals def and_(*expressions): return {"and": {"expressions": expressions}} def or_(*expressions): return {"or": {"expressions": expressions}} def not_(expression): return {"not": expression} def eq(key, value): return {"condition": {"key": key, "value": value, "condition": "EQ"}} def neq(key, value): return {"condition": {"key": key, "value": value, "condition": "NEQ"}} def gt(key, value): return {"condition": {"key": key, "value": value, "condition": "GT"}} def gte(key, value): return {"condition": {"key": key, "value": value, "condition": "GTE"}} def lt(key, value): return {"condition": {"key": key, "value": value, "condition": "LT"}} def lte(key, value): return {"condition": {"key": key, "value": value, "condition": "LTE"}} def in_(key, values): if not isinstance(values, list): if not isinstance(values, dict): values = [values] return {"condition": {"key": key, "value": values, "condition": "IN"}} def contains(key, value): return {"condition": {"key": key, "value": value, "condition": "CONTAINS"}}

23.938776

79

0.613811

137

1,173

5.175182

0.226277

0.169252

0.203103

0.236953

0.510578

0.473907

0

0.180733

1,173

48

80

24.4375

0.737773

0

0.224211

0

1

0.423077

false

0

0.038462

0.384615

0.884615

0.038462

0

null

0

1

0

null

0

1

0

1

0

5

644a41da13f77f2c2cf05082f95f44263e687ca5

90

py

Python

core/api/permissions.py

christianmtr/my_django_template

0d51bd62b6ea2d4dc66053914162944d5af25b39

[ "MIT" ]

4

2020-08-10T01:56:06.000Z

2021-10-18T08:02:14.000Z

core/api/permissions.py

christianmtr/my_django_template

0d51bd62b6ea2d4dc66053914162944d5af25b39

[ "MIT" ]

null

core/api/permissions.py

christianmtr/my_django_template

0d51bd62b6ea2d4dc66053914162944d5af25b39

[ "MIT" ]

null

from rest_framework.permissions import BasePermission # add your custom permissions here

22.5

53

0.855556

11

90

6.909091

0.909091

0

0.122222

90

3

54

30

0.962025

0.355556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

644fe0dfd40c59baba3f28d2847e7a07d5f4209a

20,530

py

Python

server/tests/server_test.py

albrycht/MoveBlockDetector

b9a5c5634788e06bb565976afea933b04f9f47ac

[ "MIT" ]

1

2021-03-20T10:21:45.000Z

server/tests/server_test.py

albrycht/MoveBlockDetector

b9a5c5634788e06bb565976afea933b04f9f47ac

[ "MIT" ]

null

server/tests/server_test.py

albrycht/MoveBlockDetector

b9a5c5634788e06bb565976afea933b04f9f47ac

[ "MIT" ]

null

from textwrap import dedent import requests from falcon import testing from unidiff import PatchSet import json from detector import split_to_leading_whitespace_and_trim_text from main import create_api from tests.detector_tests import ChangedLines from tests.github_token import GITHUB_TOKEN class MyTestCase(testing.TestCase): def setUp(self): super(MyTestCase, self).setUp() self.app = create_api() class TestMyApp(MyTestCase): def test_get_message(self): expected_response = {u'message': u'Hello world!'} result = self.simulate_get('/moved-blocks') self.assertEqual(result.json, expected_response) def test_post_message_with_diff_text(self): diff_text = dedent(""" --- file1 2019-05-29 19:23:25.228980900 +0200 +++ file2 2019-05-29 19:23:38.127013700 +0200 @@ -1,5 +1,5 @@ -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 -3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 +4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 +5 2 2 2 2 2 2 2 2 2 2 2 2 2 2 +6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 ala ma kota """) post_data = { 'diff_text': diff_text, } result = self.simulate_post('/moved-blocks', json=post_data) self.assertEqual(len(result.json), 1) self.assertEqual(len(result.json[0]['lines']), 3) def test_post_message_with_added_and_removed_lines(self): removed_lines = ChangedLines("file_with_removed_lines", { 1: "1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1", 2: "2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2", 3: "3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3", 4: "4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4", 5: "5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5" }) added_lines = ChangedLines("file_with_added_lines", { 10: "-------------------------------------------", 11: "-------------------------------------------", 12: "1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1", 13: "2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2", 14: "3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3", 15: "4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4", 16: "-------------------------------------------", }) post_data = { 'added_lines': added_lines.to_lines_dicts(), 'removed_lines': removed_lines.to_lines_dicts(), } result = self.simulate_post('/moved-blocks', json=post_data) self.assertEqual(len(result.json), 1) self.assertEqual(len(result.json[0]['lines']), 4) self.assertDictEqual(result.json[0]['lines'][0], { 'added_line': { 'file': 'file_with_added_lines', 'line_no': 12, 'leading_whitespaces': '', 'trim_text': '1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1' }, 'removed_line': { 'file': 'file_with_removed_lines', 'line_no': 1, 'leading_whitespaces': '', 'trim_text': '1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1' }, 'match_probability': 1 } ) def diff_to_added_and_removed_lines(self, diff_text): patch = PatchSet(diff_text) added_lines = [] removed_lines = [] for patched_file in patch: for hunk in patched_file: for line in hunk: leading_whitespace, trim_text = split_to_leading_whitespace_and_trim_text(line.value.rstrip('\n')) file = patched_file.path if line.is_added: line_no = line.target_line_no lines_list = added_lines elif line.is_removed: line_no = line.source_line_no lines_list = removed_lines else: continue lines_list.append({ 'file': file, 'line_no': line_no, 'trim_text': trim_text, 'leading_whitespaces': leading_whitespace, }) return { 'added_lines': added_lines, 'removed_lines': removed_lines, } def test_compare_diff_with_javascript_plugin(self): url = 'https://github.com/albrycht/MoveBlockDetector/pull/1.diff' r = requests.get(url, headers={'Authorization': f'token {GITHUB_TOKEN}', 'Accept': 'application/vnd.github.v3.sha'}) parsed_diff = self.diff_to_added_and_removed_lines(r.text) from_js = { "added_lines": [ { "file": "tests/some_text_file.txt", "line_no": 1, "trim_text": "In quis pharetra neque. Vestibulum in enim lacus. In vitae est dolor. Donec a dolor diam. Morbi aliquam et leo ut viverra. Curabitur at mauris purus.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 2, "trim_text": "Curabitur urna eros, ullamcorper ut tellus sed, lobortis tempus leo. Nulla semper purus ut finibus porttitor. Ut ac est sit amet lacus ornare rutrum.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 3, "trim_text": "Duis turpis risus, aliquet quis quam ut, faucibus faucibus tortor. Ut eu porttitor dolor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 11, "trim_text": "Aliquam non justo nisl. Aliquam luctus condimentum libero, ut dapibus tortor lacinia quis. Donec lobortis libero at tellus tristique tempor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 12, "trim_text": "Aliquam et ipsum at dolor sagittis egestas eu id tellus. Cras id dictum augue, id volutpat nisi. Duis vestibulum tortor in nibh tempor faucibus.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 13, "trim_text": "Vestibulum suscipit ex ac laoreet vehicula. Cras porttitor bibendum sem sed elementum. Morbi non ex at lectus maximus dictum et ultricies massa.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 14, "trim_text": "In aliquet lorem quis risus congue, non dictum urna pulvinar. In eu enim a lacus suscipit pellentesque. Donec molestie, tellus id ultricies tincidunt,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 15, "trim_text": "risus magna congue velit, quis euismod ligula nisl eu quam. Sed vel consequat justo, non aliquam leo.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 16, "trim_text": "Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 24, "trim_text": "Maecenas fermentum, quam varius feugiat accumsan, risus ligula maximus justo, et interdum lacus lacus et nunc.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 25, "trim_text": "Vivamus imperdiet enim non risus aliquam rutrum. Nunc erat eros, lobortis ut vehicula at, sollicitudin tempor nibh.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 26, "trim_text": "Nam et magna at urna molestie malesuada. Nunc et sem egestas, dapibus lorem eu, efficitur augue. Morbi volutpat ante quis pellentesque euismod.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 27, "trim_text": "Curabitur scelerisque tempus enim, sit amet imperdiet felis facilisis ac. Curabitur luctus ornare orci. Duis ultrices ex risus,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 28, "trim_text": "vitae imperdiet neque mattis ullamcorper. Proin vel egestas leo. Etiam lectus risus, congue ac blandit vitae, lobortis et felis.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 29, "trim_text": "", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 30, "trim_text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. In semper, nunc sit amet blandit semper, lacus eros congue neque,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 31, "trim_text": "vitae rhoncus sapien nisi et velit. Fusce arcu ipsum, tempus ut ullamcorper eget, pretium eu libero. Suspendisse potenti.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 32, "trim_text": "Fusce ac ullamcorper nulla, quis facilisis urna. Proin congue ex pulvinar, congue lacus sit amet, mollis odio.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 33, "trim_text": "Pellentesque cursus ultrices enim ut varius. Cras pellentesque felis a faucibus vestibulum. Vestibulum commodo, ipsum sagittis pretium porta,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 34, "trim_text": "massa orci condimentum orci, non porta velit nunc id ipsum. Sed turpis dolor, molestie vitae leo vitae, imperdiet fringilla diam.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 35, "trim_text": "Nullam dolor elit, finibus id massa at, placerat mollis enim. Nullam condimentum egestas leo efficitur porttitor. Integer et eros nunc.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 36, "trim_text": "Maecenas fringilla sem et ante accumsan, vitae hendrerit tellus malesuada. In non sodales ligula. Vivamus at mollis tortor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 37, "trim_text": "", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 38, "trim_text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. In semper, nunc sit amet blandit semper, lacus eros congue neque,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 39, "trim_text": "vitae rhoncus sapien nisi et velit. Fusce arcu ipsum, tempus ut ullamcorper eget, pretium eu libero. Suspendisse potenti.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 40, "trim_text": "Fusce ac ullamcorper nulla, quis facilisis urna. Proin congue ex pulvinar, congue lacus sit amet, mollis odio.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 41, "trim_text": "Pellentesque cursus ultrices enim ut varius. Cras pellentesque felis a faucibus vestibulum. Vestibulum commodo, ipsum sagittis pretium porta,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 42, "trim_text": "massa orci condimentum orci, non porta velit nunc id ipsum. Sed turpis dolor, molestie vitae leo vitae, imperdiet fringilla diam.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 43, "trim_text": "Nullam dolor elit, finibus id massa at, placerat mollis enim. Nullam condimentum egestas leo efficitur porttitor. Integer et eros nunc.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 44, "trim_text": "Maecenas fringilla sem et ante accumsan, vitae hendrerit tellus malesuada. In non sodales ligula. Vivamus at mollis tortor.", "leading_whitespaces": "", } ], "removed_lines": [ { "file": "tests/some_text_file.txt", "line_no": 1, "trim_text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. In semper, nunc sit amet blandit semper, lacus eros congue neque,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 2, "trim_text": "vitae rhoncus sapien nisi et velit. Fusce arcu ipsum, tempus ut ullamcorper eget, pretium eu libero. Suspendisse potenti.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 3, "trim_text": "Fusce ac ullamcorper nulla, quis facilisis urna. Proin congue ex pulvinar, congue lacus sit amet, mollis odio.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 4, "trim_text": "Pellentesque cursus ultrices enim ut varius. Cras pellentesque felis a faucibus vestibulum. Vestibulum commodo, ipsum sagittis pretium porta,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 5, "trim_text": "massa orci condimentum orci, non porta velit nunc id ipsum. Sed turpis dolor, molestie vitae leo vitae, imperdiet fringilla diam.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 6, "trim_text": "Nullam dolor elit, finibus id massa at, placerat mollis enim. Nullam condimentum egestas leo efficitur porttitor. Integer et eros nunc.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 7, "trim_text": "Maecenas fringilla sem et ante accumsan, vitae hendrerit tellus malesuada. In non sodales ligula. Vivamus at mollis tortor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 15, "trim_text": "In quis pharetra neque. Vestibulum in enim lacus. In vitae est dolor. Donec a dolor diam. Morbi aliquam et leo ut viverra. Curabitur at mauris purus.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 16, "trim_text": "Curabitur urna eros, ullamcorper ut tellus sed, lobortis tempus leo. Nulla semper purus ut finibus porttitor. Ut ac est sit amet lacus ornare rutrum.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 17, "trim_text": "Duis turpis risus, aliquet quis quam ut, faucibus faucibus tortor. Ut eu porttitor dolor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 25, "trim_text": "Aliquam non justo nisl. Aliquam luctus condimentum libero, ut dapibus tortor lacinia quis. Donec lobortis libero at tellus tristique tempor.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 26, "trim_text": "Aliquam et ipsum at dolor sagittis egestas eu id tellus. Cras id dictum augue, id volutpat nisi. Duis vestibulum tortor in nibh tempor faucibus.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 27, "trim_text": "Vestibulum suscipit ex ac laoreet vehicula. Cras porttitor bibendum sem sed elementum. Morbi non ex at lectus maximus dictum et ultricies massa.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 28, "trim_text": "In aliquet lorem quis risus congue, non dictum urna pulvinar. In eu enim a lacus suscipit pellentesque. Donec molestie, tellus id ultricies tincidunt,", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 29, "trim_text": "risus magna congue velit, quis euismod ligula nisl eu quam. Sed vel consequat justo, non aliquam leo.", "leading_whitespaces": "", }, { "file": "tests/some_text_file.txt", "line_no": 30, "trim_text": "Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.", "leading_whitespaces": "", } ] } for key in ['added_lines', 'removed_lines']: for from_js_line_dict, parsed_diff_line_dict in zip(from_js[key], parsed_diff[key]): self.assertDictEqual(from_js_line_dict, parsed_diff_line_dict)

49.46988

186

0.491866

2,233

20,530

4.355575

0.132109

0.023031

0.032696

0.041127

0.78429

0.769278

0.763932

0.756735

0.750154

0

0.041818

0.40945

20,530

414

187

49.589372

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1

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0

0.04557

0

null

0

1

0

null

0

5

6477ace092dc50df0c1eaf2cd63fecee75f266e6

342

py

Python

crowdsrc/src/views/__init__.py

BenEast/crowdsrc-backend

d06f0379e60bbac11128b3dd94dbc2d40b5f7a2e

[ "MIT" ]

null

crowdsrc/src/views/__init__.py

BenEast/crowdsrc-backend

d06f0379e60bbac11128b3dd94dbc2d40b5f7a2e

[ "MIT" ]

null

crowdsrc/src/views/__init__.py

BenEast/crowdsrc-backend

d06f0379e60bbac11128b3dd94dbc2d40b5f7a2e

[ "MIT" ]

null

from .views import * from .auth_views import * from .crowd_views import * from .user_views import * from .user_settings_views import * from .project_views import * from .skill_views import * from .task_views import * from .task_submission_views import * from .team_message_views import * from .review_views import * from .stats_views import *

28.5

36

0.792398

50

342

5.14

0.3

0.513619

0.642023

0.14786

0

0.137427

342

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28.5

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0

1

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1

0

null

0

1

0

1

0

1

0

5

6487bafb51fc3dcff6cdbed37429732ca7a4f0c7

104

py

Python

bin/downloads.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

4

2021-01-12T15:16:16.000Z

2021-08-06T08:38:35.000Z

bin/downloads.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

null

bin/downloads.py

meghdadFar/snlp

deb37b12bc5112b74d0bf8187f47b5d36bf6b943

[ "MIT" ]

null

#!/usr/bin/env python import nltk nltk.download('averaged_perceptron_tagger') nltk.download('stopwords')

26

43

0.807692

14

104

5.857143

0.785714

0.292683

0

0.048077

104

4

44

26

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0.192308

0

0.416667

0.309524

0

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true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

64a5de31631ecbb9f0be0e66ab762b5de94e082f

220

py

Python

jaguar/components/__init__.py

calston/tinyjaguar

78614b6c3beb82a1b20cb0bda038c972214119d5

[ "MIT" ]

9

2017-03-16T15:59:43.000Z

2020-10-08T03:39:13.000Z

jaguar/components/__init__.py

calston/tinyjaguar

78614b6c3beb82a1b20cb0bda038c972214119d5

[ "MIT" ]

null

jaguar/components/__init__.py

calston/tinyjaguar

78614b6c3beb82a1b20cb0bda038c972214119d5

[ "MIT" ]

null

from .lcd import CharacterDisplay from .mcp41 import MCP410x0 from .segment import SegmentDisplay from .shift_register import ShiftRegister from .mcp3008 import MCP3008 from .button import Button from .out import Output

27.5

41

0.840909

29

220

6.344828

0.517241

0

0.072917

0.127273

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7

42

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0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

64b380e2c9e5fc61b5b3c34b57f0eb932404bfe0

30

py

Python

strategies/gdumb/__init__.py

rmassidda/reproducible-continual-learning

ed7b7db634038d9d4312c2c54b15ca8eead1c07c

[ "MIT" ]

53

2021-04-20T15:41:23.000Z

2022-03-30T17:24:36.000Z

strategies/gdumb/__init__.py

rmassidda/reproducible-continual-learning

ed7b7db634038d9d4312c2c54b15ca8eead1c07c

[ "MIT" ]

14

2021-10-08T10:35:31.000Z

2022-03-29T14:00:06.000Z

strategies/gdumb/__init__.py

rmassidda/reproducible-continual-learning

ed7b7db634038d9d4312c2c54b15ca8eead1c07c

[ "MIT" ]

7

2021-11-02T15:39:57.000Z

2022-03-31T03:25:04.000Z

from .experiment import GDumb

15

29

0.833333

4

30

6.25

1

0

0.133333

30

1

30

0.961538

0

1

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true

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1

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1

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1

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null

0

1

0

null

0

1

0

1

0

5

64ceebc77ce40e1c33743bbecc2c36f9d1d71d9d

249

py

Python

nginxpla/nginxpla_module.py

evirma/nginxpla

24ff15809cb3c6f81821c09d07e52c629fca491a

[ "MIT" ]

null

nginxpla/nginxpla_module.py

evirma/nginxpla

24ff15809cb3c6f81821c09d07e52c629fca491a

[ "MIT" ]

null

nginxpla/nginxpla_module.py

evirma/nginxpla

24ff15809cb3c6f81821c09d07e52c629fca491a

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod class NginxplaModule: __metaclass__ = ABCMeta is_needed = None @abstractmethod def report(self) -> str: pass def handle_report(self, report: str) -> str: return report

16.6

48

0.658635

27

249

5.851852

0.666667

0.126582

0

0.273092

249

14

49

17.785714

0.872928

0

1

0.222222

false

0.111111

0.777778

0

1

0

null

0

null

0

1

0

1

0

1

0

5

64d043d0d3cd986fb4b52ffc61033db81c9c234c

143

py

Python

travelperk_python_api_types/users/users/name.py

namelivia/travelperk-python-api-types

d71cee9757938ed4189479c81e4f2ff1f73ca489

[ "MIT" ]

null

travelperk_python_api_types/users/users/name.py

namelivia/travelperk-python-api-types

d71cee9757938ed4189479c81e4f2ff1f73ca489

[ "MIT" ]

1

2021-09-03T04:20:35.000Z

travelperk_python_api_types/users/users/name.py

namelivia/travelperk-python-api-types

d71cee9757938ed4189479c81e4f2ff1f73ca489

[ "MIT" ]

null

from pydantic.dataclasses import dataclass @dataclass class Name: first_name: str last_name: str middle_name: str title: str

14.3

42

0.72028

19

143

5.263158

0.631579

0.21

0

0.230769

143

9

43

15.888889

0.909091

0

1

0

true

0

0.142857

0

0.857143

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b38115b2a5969adce31b983c85bbe4525bc5a513

1,047

py

Python

tabpy/tabpy_server/handlers/__init__.py

phantomcosmonaut/TabPy

43cce449cdcb5c99202d68f1a6af4d355d3e3734

[ "MIT" ]

null

tabpy/tabpy_server/handlers/__init__.py

phantomcosmonaut/TabPy

43cce449cdcb5c99202d68f1a6af4d355d3e3734

[ "MIT" ]

null

tabpy/tabpy_server/handlers/__init__.py

phantomcosmonaut/TabPy

43cce449cdcb5c99202d68f1a6af4d355d3e3734

[ "MIT" ]

null

from tabpy.tabpy_server.handlers.base_handler import BaseHandler from tabpy.tabpy_server.handlers.main_handler import MainHandler from tabpy.tabpy_server.handlers.management_handler import ManagementHandler from tabpy.tabpy_server.handlers.endpoint_handler import EndpointHandler from tabpy.tabpy_server.handlers.endpoints_handler import EndpointsHandler from tabpy.tabpy_server.handlers.evaluation_plane_handler import EvaluationPlaneHandler from tabpy.tabpy_server.handlers.query_plane_handler import QueryPlaneHandler from tabpy.tabpy_server.handlers.service_info_handler import ServiceInfoHandler from tabpy.tabpy_server.handlers.status_handler import StatusHandler from tabpy.tabpy_server.handlers.login_handler import LoginHandler from tabpy.tabpy_server.handlers.users_handler import UsersHandler from tabpy.tabpy_server.handlers.settings_handler import SettingsHandler from tabpy.tabpy_server.handlers.models_handler import ModelsHandler from tabpy.tabpy_server.handlers.upload_destination_handler import ( UploadDestinationHandler, )

61.588235

87

0.897803

130

1,047

6.984615

0.284615

0.138767

0.215859

0.30837

0.431718

0

0.059217

1,047

16

88

65.4375

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0

1

0

true

0

0.875

0

0.875

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b3838ddc79a4c37ae9a5aca953738f06d772d53c

317

py

Python

Raspberry/raspberry-bluetooth-conf/bluetooth_connect_resend.py

AMM-VSU/scada-vsu

5aedd7c7f0738af980dfa62264c5b8f711cc04eb

[ "MIT" ]

1

2017-10-29T10:01:34.000Z

Raspberry/raspberry-bluetooth-conf/bluetooth_connect_resend.py

AMM-VSU/SCADA-VSU

5aedd7c7f0738af980dfa62264c5b8f711cc04eb

[ "MIT" ]

null

Raspberry/raspberry-bluetooth-conf/bluetooth_connect_resend.py

AMM-VSU/SCADA-VSU

5aedd7c7f0738af980dfa62264c5b8f711cc04eb

[ "MIT" ]

null

import serial from time import sleep while True: try: bluetoothSerial = serial.Serial( "/dev/rfcomm2", baudrate=9600 ) s = bluetoothSerial.readline() print s bluetoothSerial = serial.Serial("/dev/rfcomm1", baudrate=9600) bluetoothSerial.write(s) except: pass

24.384615

72

0.637224

33

317

6.121212

0.606061

0.207921

0.267327

0.29703

0

0.043103

0.268139

317

12

73

26.416667

0.827586

0

0.07571

0

null

0.090909

0.181818

null

0.090909

0

null

1

0

null

0

1

0

1

0

5

b3bf4cb7f349322c3c88a39d900e628db0e33c08

220

py

Python

dpd_info_client_api/settings.py

haloween/dpd-client-info-service-api-python

8715e04e10b845b6e9fafa5d11eed42968adc764

[ "MIT" ]

1

2019-08-10T09:14:37.000Z

dpd_info_client_api/settings.py

haloween/dpd-client-info-service-api-python

8715e04e10b845b6e9fafa5d11eed42968adc764

[ "MIT" ]

null

dpd_info_client_api/settings.py

haloween/dpd-client-info-service-api-python

8715e04e10b845b6e9fafa5d11eed42968adc764

[ "MIT" ]

null

class DPDSettingsObject(object): DPD_API_USERNAME = None DPD_API_PASSWORD = None DPD_API_FID = None DPD_API_SANDBOX_USERNAME = None DPD_API_SANDBOX_PASSWORD = None DPD_API_SANDBOX_FID = None

16.923077

35

0.736364

30

220

4.9

0.333333

0.244898

0.340136

0.346939

0

0.222727

220

12

36

18.333333

0.859649

0

1

0

false

0.285714

0

1

0

null

1

0

null

0

1

0

1

0

5

b3cebd89170907df4a426134fd8fd0771545948b

66

py

Python

src/data/__init__.py

Javicadserres/wind-production-forecast

903fbf53d2ea34dc1a63e89cee252e76d6c25876

[ "MIT" ]

null

src/data/__init__.py

Javicadserres/wind-production-forecast

903fbf53d2ea34dc1a63e89cee252e76d6c25876

[ "MIT" ]

null

src/data/__init__.py

Javicadserres/wind-production-forecast

903fbf53d2ea34dc1a63e89cee252e76d6c25876

[ "MIT" ]

null

from .dataset import Dataset from .preprocessing import FrameTorch

33

37

0.863636

8

66

7.125

0.625

0

0.106061

66

2

37

33

0.966102

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b3f24c714175958ec5b23d791693618252889a49

6,431

py

Python

tests/test_smith_waterman.py

shaomingyang-lab/smart-match

7e92412f7c6cb3ab7ce6b6a1f8e366b991ff31ce

[ "MIT" ]

null

tests/test_smith_waterman.py

shaomingyang-lab/smart-match

7e92412f7c6cb3ab7ce6b6a1f8e366b991ff31ce

[ "MIT" ]

null

tests/test_smith_waterman.py

shaomingyang-lab/smart-match

7e92412f7c6cb3ab7ce6b6a1f8e366b991ff31ce

[ "MIT" ]

1

2022-03-19T07:45:51.000Z

import unittest import smart_match class TestSmithWaterman(unittest.TestCase): def setUp(self): smart_match.use('SW') def test_similarity(self): self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Web Application Development With PHP'), 0.8666666666666667) self.assertAlmostEqual(smart_match.similarity('', 'eee'), 0) self.assertAlmostEqual(smart_match.similarity('aaa', 'eee'), 0) self.assertAlmostEqual(smart_match.similarity('eee', 'aaa'), 0) self.assertAlmostEqual(smart_match.similarity('ddd', 'aaa'), 0) self.assertAlmostEqual(smart_match.similarity('aaa', 'ddd'), 0) self.assertAlmostEqual(smart_match.similarity('test string1', 'test string2'), 0.9166666666666666) self.assertAlmostEqual(smart_match.similarity('test', 'test string2'), 1) self.assertAlmostEqual(smart_match.similarity('', 'test string2'), 0) self.assertAlmostEqual(smart_match.similarity('aaa bbb ccc ddd', 'aaa bbb ccc eee'), 0.8) self.assertAlmostEqual(smart_match.similarity('a b c d', 'a b c e'), 0.8571428571428571) self.assertAlmostEqual(smart_match.similarity('Healed', 'Sealed'), 0.8333333333333334) self.assertAlmostEqual(smart_match.similarity('Healed', 'Healthy'), 0.6666666666666666) self.assertAlmostEqual(smart_match.similarity('Healed', 'Heard'), 0.6) self.assertAlmostEqual(smart_match.similarity('Healed', 'Hearded'), 0.5666666666666667) self.assertAlmostEqual(smart_match.similarity('Healed', 'Help'), 0.5) self.assertAlmostEqual(smart_match.similarity('Healed', 'Sold'), 0.25) self.assertAlmostEqual(smart_match.similarity('Sam J Chapman', 'Samuel John Chapman'),0.7846153846153846) self.assertAlmostEqual(smart_match.similarity('Sam Chapman', 'S Chapman'),0.8888888888888888) self.assertAlmostEqual(smart_match.similarity('John Smith', 'Samuel John Chapman'),0.5) self.assertAlmostEqual(smart_match.similarity('John Smith', 'Sam Chapman'),0.1) self.assertAlmostEqual(smart_match.similarity('John Smith', 'Sam J Chapman'),0.1) self.assertAlmostEqual(smart_match.similarity('John Smith', 'S Chapman'),0.1111111111111111) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Web Database Applications with PHP & MySQL'),1) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Creating Database Web Applications with PHP and ASP'),0.8160) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Building Database Applications on the Web Using PHP3'),0.8800) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Building Web Database Applications with Visual Studio 6'),1) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Web Application Development With PHP'),0.496) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection'),0.88) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'Structural Assessment: The Role of Large and Full-Scale Testing'),0.096) self.assertAlmostEqual(smart_match.similarity('Web Database Applications', 'How to Find a Scholarship Online'),0.08) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Web Database Applications with PHP & MySQL'),0.76) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Creating Database Web Applications with PHP and ASP'),0.9333333333333333) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Building Database Applications on the Web Using PHP3'),0.7333333333333333) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Building Web Database Applications with Visual Studio 6'),0.76) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Web Application Development With PHP'),0.8666666666666666) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection'),0.7333333333333333) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'Structural Assessment: The Role of Large and Full-Scale Testing'),0.1333333333333333) self.assertAlmostEqual(smart_match.similarity('Web Aplications', 'How to Find a Scholarship Online'),0.1333333333333333) def test_dissimilarity(self): self.assertAlmostEqual(smart_match.dissimilarity('Web Aplications', 'Web Application Development With PHP'), 0.1333333333333333) self.assertAlmostEqual(smart_match.dissimilarity('', 'eee'), 1) self.assertAlmostEqual(smart_match.dissimilarity('aaa', 'eee'), 1) self.assertAlmostEqual(smart_match.dissimilarity('Healed', 'Help'), 0.5) self.assertAlmostEqual(smart_match.dissimilarity('Healed', 'Sold'), 0.75) self.assertAlmostEqual(smart_match.dissimilarity('Web Database Applications', 'Web Application Development With PHP'),0.504) self.assertAlmostEqual(smart_match.dissimilarity('Web Database Applications', 'WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection'),0.12) self.assertAlmostEqual(smart_match.dissimilarity('Web Database Applications', 'Structural Assessment: The Role of Large and Full-Scale Testing'),0.904) def test_score(self): self.assertEqual(smart_match.score('Web Aplications', 'Web Application Development With PHP'), 65) self.assertAlmostEqual(smart_match.score('', 'eee'), -3) self.assertAlmostEqual(smart_match.score('aaa', 'eee'), 0) self.assertAlmostEqual(smart_match.score('Healed', 'Help'), 10) self.assertAlmostEqual(smart_match.score('Healed', 'Sold'), 5) self.assertAlmostEqual(smart_match.score('Web Database Applications', 'Web Application Development With PHP'),62) self.assertAlmostEqual(smart_match.score('Web Database Applications', 'WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection'),110) self.assertAlmostEqual(smart_match.score('Web Database Applications', 'Structural Assessment: The Role of Large and Full-Scale Testing'),12) if __name__ == '__main__': unittest.main()

89.319444

183

0.747162

750

6,431

6.316

0.156

0.120329

0.29639

0.353388

0.866582

0.838083

0.680388

0.545493

0.370065

0.199704

0

0.066005

0.13777

6,431

71

184

90.577465

0.788278

0

0.347535

0

0.846154

1

0.061538

false

0

0.030769

0

0.107692

0

null

0

1

0

null

0

1

0

5

b600db2438537515fc330fb4c9d4b6733b83970a

1,714

py

Python

robotsdk/ubtmessage.py

BrightLin/Yanshee_play_wechat_jump_game

f2a7bacd96fd016a6666e36383426000d4c6ab3f

[ "Apache-2.0" ]

null

robotsdk/ubtmessage.py

BrightLin/Yanshee_play_wechat_jump_game

f2a7bacd96fd016a6666e36383426000d4c6ab3f

[ "Apache-2.0" ]

null

robotsdk/ubtmessage.py

BrightLin/Yanshee_play_wechat_jump_game

f2a7bacd96fd016a6666e36383426000d4c6ab3f

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- import os import time import socket import threading from ctypes import * from ubtinit import * def sendmsg(ADDR,buf): #-------- send udp msg --------------------- udpclientSock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) udpclientSock.sendto(buf, ADDR) udpclientSock.close() def initserver(port): #-------udp server function------------------ socket_fd = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) socket_fd.setsockopt(socket.SOL_SOCKET,socket.SO_REUSEADDR, 1) socket_fd.bind(("",port)) return socket_fd def report(name): #-------report run status function-------- api.ubtReportStatusToApp(name, "start") while True: time.sleep(3) api.ubtReportStatusToApp(name, "run") def reportstatus(name): #-------report run status thread -------- th = threading.Thread(target=report, args=(name,)) th.setDaemon(True) th.start() def commwithrobot(name,addr,fd): #---------communicate wiht robot function--- sendmsg(addr,"start") while True: data,clientaddr = fd.recvfrom(512) print data, "from", clientaddr try: if data == b'stop': stop(name,addr[0]) sendmsg(addr,"stop") break except Exception,e: print "error occur:\t",repr(e) fd.close() os._exit(0) def processmessage(name,addr,server_socket): #-------process mssage thread -------- th = threading.Thread(target=commwithrobot, args=(name,addr,server_socket)) th.setDaemon(True) th.start()

1,714

0.571179

188

1,714

5.138298

0.441489

0.062112

0.037267

0.041408

0.186335

0.080745

0

0.006319

0.261377

1,714

1

1,714

0.756714

0.994749

0

0.142857

0

0.027465

0

null

0

0.142857

null

0.047619

0

null

0

1

0

1

0

null

0

1

0

5

3766756ce033a36b9287ee8b5c6f0003b06a8c12

170

py

Python

matchzoo/utils/__init__.py

MDoid10111/EMNLP2020

97e4da06abc72873a4830cfa53c035a27eb3975b

[ "MIT" ]

42

2020-10-13T19:47:37.000Z

2022-03-26T09:56:46.000Z

matchzoo/utils/__init__.py

MDoid10111/EMNLP2020

97e4da06abc72873a4830cfa53c035a27eb3975b

[ "MIT" ]

3

2020-01-29T16:37:50.000Z

2022-02-04T12:01:51.000Z

matchzoo/utils/__init__.py

MDoid10111/EMNLP2020

97e4da06abc72873a4830cfa53c035a27eb3975b

[ "MIT" ]

5

2020-11-30T14:48:44.000Z

2022-02-19T17:18:21.000Z

from .one_hot import one_hot from .get_file import get_file from .tensor_type import TensorType from .list_recursive_subclasses import list_recursive_concrete_subclasses

34

73

0.882353

26

170

5.384615

0.5

0.085714

0

0.094118

170

4

74

42.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

376a99220dc5eb51b3a4eae4f4669e3f971f67ba

216

py

Python

topCoder/srms/200s/srm284/div2/truck_loads.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

1

2020-09-30T19:53:08.000Z

topCoder/srms/200s/srm284/div2/truck_loads.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

null

topCoder/srms/200s/srm284/div2/truck_loads.py

gauravsingh58/algo

397859a53429e7a585e5f6964ad24146c6261326

[ "WTFPL" ]

1

2020-10-15T09:10:57.000Z

class Truckloads: def numTrucks(self, numCrates, loadSize): if numCrates <= loadSize: return 1 return self.numTrucks(numCrates/2, loadSize) + self.numTrucks((numCrates+1)/2, loadSize)

36

96

0.662037

24

216

5.958333

0.458333

0.237762

0.307692

0

0.024096

0.231481

216

5

97

43.2

0.837349

0

1

0.2

false

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

5

376c836ecb9153d279d3d5818b24fcc7940e7afd

135

py

Python

ch21/FunctionGotchas/FunctionWithoutReturns.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2020-10-12T13:33:29.000Z

ch21/FunctionGotchas/FunctionWithoutReturns.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

null

ch21/FunctionGotchas/FunctionWithoutReturns.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2016-11-09T07:28:45.000Z

#!/usr/bin/env python3 def proc(x): print(x) x = proc("testing 1, 2, 3...") print("below is x: ") print(x) print("above is x: ")

13.5

30

0.57037

25

135

3.08

0.6

0.233766

0.181818

0

0.036697

0.192593

135

9

31

15

0.669725

0.155556

0

0.333333

0

0.371681

0

1

0.166667

false

0

0.166667

0.666667

1

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null

1

0

1

0

null

0

1

0

5

37a370f1e97dfcded16c8e7f7733ed6e18fda3f1

38

py

Python

src/utilities/__init__.py

UndergroundDetection/MICEMD

5e55f323c6464d93e56554f8b6cca2d0b7724b23

[ "MIT" ]

4

2020-09-17T02:44:20.000Z

2022-03-15T06:30:52.000Z

src/utilities/__init__.py

UndergroundDetection/MicEMD

5e55f323c6464d93e56554f8b6cca2d0b7724b23

[ "MIT" ]

null

src/utilities/__init__.py

UndergroundDetection/MicEMD

5e55f323c6464d93e56554f8b6cca2d0b7724b23

[ "MIT" ]

2

2020-08-28T02:30:03.000Z

2020-08-28T14:11:47.000Z

"""the package is used for the GUI"""

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Python

atlas/foundations_internal/src/foundations_internal/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

296

2020-03-16T19:55:00.000Z

2022-01-10T19:46:05.000Z

atlas/foundations_internal/src/foundations_internal/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

57

2020-03-17T11:15:57.000Z

2021-07-10T14:42:27.000Z

atlas/foundations_internal/src/foundations_internal/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

38

2020-03-17T21:06:05.000Z

2022-02-08T03:19:34.000Z

def _append_module(): import sys from foundations_internal.global_state import module_manager module_manager.append_module(sys.modules[__name__]) def root(): from pathlib import Path return Path(__file__).parents[0] _append_module()

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py

Python

manuallists/modeling/train_probabilistic_models.py

tedunderwood/noveltmmeta

0f6ad02db30aa7b5b67ac19eacc2919249fbfae9

[ "MIT" ]

13

2018-09-23T15:39:15.000Z

2022-01-26T00:24:30.000Z

manuallists/modeling/train_probabilistic_models.py

tedunderwood/noveltmmeta

0f6ad02db30aa7b5b67ac19eacc2919249fbfae9

[ "MIT" ]

1

2020-05-02T20:47:07.000Z

2020-05-04T04:02:26.000Z

manuallists/modeling/train_probabilistic_models.py

tedunderwood/noveltmmeta

0f6ad02db30aa7b5b67ac19eacc2919249fbfae9

[ "MIT" ]

7

2018-07-08T21:06:48.000Z

2021-02-18T20:42:01.000Z

#!/usr/bin/env python3 # main_experiment.py # USAGE syntax: # python3 main_experiment.py *command* import sys, os, csv, random import numpy as np import pandas as pd import versatiletrainer2 import metaselector from math import sqrt import matplotlib.pyplot as plt from scipy import stats def train_juvmodel(): sourcefolder = 'samplematrix.csv' sizecap = 700 c_range = [.00001, .0001, .001, .01, 0.1, 1, 10, 100] featurestart = 1003 featureend = 1103 featurestep = 100 modelparams = 'logistic', 12, featurestart, featureend, featurestep, c_range metadatapath = '../union_of_subsets.csv' name = 'juvmodel' vocabpath = 'dummyvariable' tags4positive = {'juvenile'} tags4negative = {'longfiction', 'shortfiction', 'nonfiction', 'poetry', 'drama'} floor = 1800 ceiling = 2011 metadata, masterdata, classvector, classdictionary, orderedIDs, authormatches, vocablist = versatiletrainer2.get_simple_data(sourcefolder, metadatapath, vocabpath, tags4positive, tags4negative, sizecap, excludebelow = floor, excludeabove = ceiling, forbid4positive = {'nothing'}, forbid4negative = {'nothing'}, force_even_distribution = False, negative_strategy = 'random', numfeatures = 7500) matrix, maxaccuracy, metadata, coefficientuples, features4max, best_regularization_coef = versatiletrainer2.tune_a_model(metadata, masterdata, classvector, classdictionary, orderedIDs, authormatches, vocablist, tags4positive, tags4negative, modelparams, name, 'output/' + name + '.csv') def train_nonmodel(): sourcefolder = 'samplematrix.csv' sizecap = 700 c_range = [.00001, .0001, .001, .01, 0.1, 1, 10, 100] featurestart = 1003 featureend = 1103 featurestep = 100 modelparams = 'logistic', 12, featurestart, featureend, featurestep, c_range metadatapath = '../union_of_subsets.csv' name = 'nonmodel' vocabpath = 'dummyvariable' tags4positive = {'notfiction'} tags4negative = {'longfiction', 'shortfiction', 'juvenile', 'poetry', 'drama'} floor = 1800 ceiling = 2011 metadata, masterdata, classvector, classdictionary, orderedIDs, authormatches, vocablist = versatiletrainer2.get_simple_data(sourcefolder, metadatapath, vocabpath, tags4positive, tags4negative, sizecap, excludebelow = floor, excludeabove = ceiling, forbid4positive = {'nothing'}, forbid4negative = {'nothing'}, force_even_distribution = False, negative_strategy = 'random', numfeatures = 7500) matrix, maxaccuracy, metadata, coefficientuples, features4max, best_regularization_coef = versatiletrainer2.tune_a_model(metadata, masterdata, classvector, classdictionary, orderedIDs, authormatches, vocablist, tags4positive, tags4negative, modelparams, name, 'output/' + name + '.csv') ## MAIN command = sys.argv[1] if command == "juv": train_juvmodel() if command == "non": train_nonmodel()

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py

Python

EllucianEthosPythonClient/ResourceWrappers/__init__.py

rmetcalf9/EllucainEthosPythonClient

6913322b1e583f655f67399f2baa763833583c27

[ "MIT" ]

1

2021-02-09T22:05:50.000Z

EllucianEthosPythonClient/ResourceWrappers/__init__.py

rmetcalf9/EllucainEthosPythonClient

6913322b1e583f655f67399f2baa763833583c27

[ "MIT" ]

1

2020-07-02T11:44:54.000Z

2020-07-02T11:45:38.000Z

EllucianEthosPythonClient/ResourceWrappers/__init__.py

rmetcalf9/EllucainEthosPythonClient

6913322b1e583f655f67399f2baa763833583c27

[ "MIT" ]

1

2021-01-13T21:35:11.000Z

from .ResourceWrapperFactory import getResourceWrapper

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py

Python

tests/test_computing_plugin.py

marcojrfurtado/osmosis-on-premise-driver-plus

7a6a0cadbc0345978d45856c6e80d5c9374c4670

[ "Apache-2.0" ]

1

2019-03-15T14:43:23.000Z

tests/test_computing_plugin.py

marcojrfurtado/osmosis-on-premise-driver-plus

7a6a0cadbc0345978d45856c6e80d5c9374c4670

[ "Apache-2.0" ]

1

2019-03-20T01:01:02.000Z

2019-03-22T14:58:38.000Z

tests/test_computing_plugin.py

marcojrfurtado/osmosis-on-premise-driver-plus

7a6a0cadbc0345978d45856c6e80d5c9374c4670

[ "Apache-2.0" ]

4

2019-03-12T18:32:17.000Z

2020-09-12T22:25:22.000Z

# Copyright 2018 Ocean Protocol Foundation # SPDX-License-Identifier: Apache-2.0 from osmosis_on_premise_driver.computing_plugin import Plugin def test_computing_plugin(): assert Plugin().type() == 'On premise'

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py

Python

sdk/python/pulumi_aws/glacier/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

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

null

sdk/python/pulumi_aws/glacier/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

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

null

sdk/python/pulumi_aws/glacier/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from alias import * from build import * from fleet import * from vault import * from detector import * from ip_set import * from member import * from threat_intel_set import *

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py

Python

src/orders/admin.py

Saruni0305/oop-work-2

371787017cdd8446220b646c0070c4e53065bff5

[ "MIT" ]

24

2018-11-17T21:02:06.000Z

2021-11-18T23:02:00.000Z

src/orders/admin.py

Saruni0305/oop-work-2

371787017cdd8446220b646c0070c4e53065bff5

[ "MIT" ]

9

2020-06-05T21:43:20.000Z

2021-11-15T17:49:01.000Z

src/orders/admin.py

SaruniM/oop-work-2

371787017cdd8446220b646c0070c4e53065bff5

[ "MIT" ]

15

2019-03-08T20:19:17.000Z

2021-12-29T10:16:14.000Z

from django.contrib import admin from .models import Order, ProductPurchase admin.site.register(Order) admin.site.register(ProductPurchase)

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py

Python

src/BattleEventsListener.py

gle8098/hundred-years-war

c74820337dd4ea6129c0b2aaa012be5666814e76

[ "WTFPL" ]

null

src/BattleEventsListener.py

gle8098/hundred-years-war

c74820337dd4ea6129c0b2aaa012be5666814e76

[ "WTFPL" ]

null

src/BattleEventsListener.py

gle8098/hundred-years-war

c74820337dd4ea6129c0b2aaa012be5666814e76

[ "WTFPL" ]

null

class BattleEventsListener: def on_battle_begins(self): pass def on_battle_ends(self): pass def on_reflected_attack(self, attack_obj): pass def on_unit_damaged(self, attack_obj): pass def on_unit_killed(self, attack_obj): pass def on_squad_killed(self, attack_obj): pass

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py

Python

tests/components/verisure/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

tests/components/verisure/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

58

2020-08-03T07:33:02.000Z

2022-03-31T06:02:05.000Z

tests/components/verisure/__init__.py

klauern/home-assistant-core

c18ba6aec0627e6afb6442c678edb5ff2bb17db6

[ "Apache-2.0" ]

14

2018-08-19T16:28:26.000Z

2021-09-02T18:26:53.000Z

"""Tests for Verisure integration."""

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py

Python

detectors/medics/cnn2d/data/__init__.py

zhampel/FakeFinder

2891a8649acc1dabdef07554d6acb346dd23dbae

[ "Apache-2.0" ]

48

2020-06-12T15:46:14.000Z

2022-03-19T16:02:05.000Z

detectors/medics/cnn2d/data/__init__.py

zhampel/FakeFinder

2891a8649acc1dabdef07554d6acb346dd23dbae

[ "Apache-2.0" ]

37

2021-03-11T18:44:08.000Z

2022-03-30T02:47:53.000Z

detectors/medics/cnn2d/data/__init__.py

zhampel/FakeFinder

2891a8649acc1dabdef07554d6acb346dd23dbae

[ "Apache-2.0" ]

17

2020-06-13T12:25:42.000Z

2021-11-22T14:49:26.000Z

from .datasets import * from .utils import cudaify

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py

Python

wurst/transformations/utils.py

kais-siala/wurst

448dd4e9e0bfbde956c2913222222509ff2b14e1

[ "BSD-2-Clause" ]

12

2020-02-04T18:03:17.000Z

2022-03-29T16:29:33.000Z

wurst/transformations/utils.py

kais-siala/wurst

448dd4e9e0bfbde956c2913222222509ff2b14e1

[ "BSD-2-Clause" ]

21

2017-09-13T09:11:56.000Z

2018-11-13T13:43:51.000Z

wurst/transformations/utils.py

kais-siala/wurst

448dd4e9e0bfbde956c2913222222509ff2b14e1

[ "BSD-2-Clause" ]

5

2020-06-03T23:56:32.000Z

2022-02-12T10:27:58.000Z

from copy import deepcopy from ..filesystem import get_uuid def copy_dataset(ds): """Copy dataset and generate new codes.""" cp = deepcopy(ds) cp["code"] = get_uuid() return cp

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py

Python

basket/templatetags/basket_tools.py

EllieThurlwell/project-five

60a6b0d5820f797ff271a32ee652d2f4e97a2160

[ "BSD-Source-Code" ]

null

basket/templatetags/basket_tools.py

EllieThurlwell/project-five

60a6b0d5820f797ff271a32ee652d2f4e97a2160

[ "BSD-Source-Code" ]

14

2022-03-01T14:49:32.000Z

2022-03-01T16:41:07.000Z

basket/templatetags/basket_tools.py

EllieThurlwell/project-five

60a6b0d5820f797ff271a32ee652d2f4e97a2160

[ "BSD-Source-Code" ]

null

from django import template register = template.Library() @register.filter(name='calc_itemtotal') def calc_itemtotal(price, quantity): return price * quantity

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py

Python

Autokey/CapsKeybinds/ctrl shift/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

1

2021-11-05T19:39:36.000Z

Autokey/CapsKeybinds/ctrl shift/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

null

Autokey/CapsKeybinds/ctrl shift/pageup.py

MisaghM/Capslock-Keybindings

00332c7d39cf776c43fe13aa08e1c2969747425d

[ "MIT" ]

null

keyboard.send_keys("<ctrl>+<shift>+<page_up>")

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456be99450b0a3983f7f3f89906b3fcf8fa808fb

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py

Python

lib/python3.4/site-packages/dal_tagulous/__init__.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

lib/python3.4/site-packages/dal_tagulous/__init__.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

lib/python3.4/site-packages/dal_tagulous/__init__.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

"""django-tagulous support for DAL."""

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456f0ae62bd0fcf4abf8a9eb162cff39d45177d1

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py

Python

vi/tests/grid/test_xy.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

vi/tests/grid/test_xy.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

vi/tests/grid/test_xy.py

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

import vi.grid.xy from nose.tools import assert_equals def test_from_string(): xy = vi.grid.xy.from_string('2,4') assert_equals(xy.x, 2) assert_equals(xy.y, 4)

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py

Python

__init__.py

ChristopherDaw/chrisdaw.net

0d155aab2ea5d18e747ff5e9776c5e04de606303

[ "MIT" ]

null

__init__.py

ChristopherDaw/chrisdaw.net

0d155aab2ea5d18e747ff5e9776c5e04de606303

[ "MIT" ]

null

__init__.py

ChristopherDaw/chrisdaw.net

0d155aab2ea5d18e747ff5e9776c5e04de606303

[ "MIT" ]

null

from .chrisdaw import app

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py

Python

Python Advanced/Workshop/errors.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

Python Advanced/Workshop/errors.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

Python Advanced/Workshop/errors.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

class InvalidSignError(Exception): pass class PositionTakenError(Exception): pass class ColumnIsFullError(Exception): pass

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45d489804dc05ce72e4ee4b5b2bff3038f41b990

94

py

Python

catalyst/rl/utils/criterion/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

46

2020-03-27T20:12:32.000Z

2021-11-21T19:08:51.000Z

catalyst/rl/utils/criterion/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

2

2020-04-06T10:43:04.000Z

2020-07-01T18:26:10.000Z

catalyst/rl/utils/criterion/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

5

2020-04-17T14:09:53.000Z

2021-05-10T08:58:29.000Z

# flake8: noqa from .categorical import categorical_loss from .quantile import quantile_loss

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45dd4eb92a2d79259e15d62a9cca19f7e0976b15

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py

Python

redbox/request/classes/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

3

2021-02-27T13:40:32.000Z

2021-03-18T18:44:07.000Z

redbox/request/classes/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

null

redbox/request/classes/__init__.py

cytopia/prometheus-redbox_exporter

cfef30d9b705cc0176b74c7a527709a27937ce25

[ "MIT" ]

null

"""Module Imports.""" from .request import Request

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1

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1

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5

afdfd7d3041f84622de6372b6ea033b922f2f21b

150

py

Python

src/frontend/hello/__init__.py

arnulfojr/money-manager

8600f1ff258a89f5742ffad4d5f589fd1def5259

[ "MIT" ]

1

2020-08-18T08:03:44.000Z

src/frontend/hello/__init__.py

arnulfojr/money-manager

8600f1ff258a89f5742ffad4d5f589fd1def5259

[ "MIT" ]

null

src/frontend/hello/__init__.py

arnulfojr/money-manager

8600f1ff258a89f5742ffad4d5f589fd1def5259

[ "MIT" ]

null

from flask import Blueprint blueprint = Blueprint('frontend', __name__, url_prefix='/hello') # import controllers from controllers import hello

13.636364

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150

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null

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null

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1

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1

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5

b32b634abe5eb4f9e6fe386c0a761625165036f5

237

py

Python

src/fecc_instructions/SETE.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

1

2018-02-04T14:48:15.000Z

src/fecc_instructions/SETE.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

null

src/fecc_instructions/SETE.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

null

from AbstractGenericInstruction import AbstractGenericInstruction as AGI class SETE(AGI): def __init__(self, value): super(SETE, self).__init__(value) def generate(self): return 'sete %{}'.format(self._value)

21.545455

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0.166667

0.833333

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null

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1

0

null

0

1

0

1

0

5

b32e4bfd0ccecf987fbcfcb4c6a6f4bdfae77858

40

py

Python

search_sites.py

sunlightlabs/elenas_inbox

dee64ef0c438fad38f02646bfd252adcff042cd2

[ "BSD-3-Clause" ]

5

2015-10-30T21:40:05.000Z

2021-03-02T02:09:47.000Z

search_sites.py

sunlightlabs/elenas_inbox

dee64ef0c438fad38f02646bfd252adcff042cd2

[ "BSD-3-Clause" ]

null

search_sites.py

sunlightlabs/elenas_inbox

dee64ef0c438fad38f02646bfd252adcff042cd2

[ "BSD-3-Clause" ]

1

2019-03-19T17:32:58.000Z

import haystack haystack.autodiscover()

20

23

0.85

4

40

8.5

0.75

0

0.075

40

2

23

20

0.918919

0

1

0

true

0

0.5

0

0.5

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null

0

1

0

null

0

1

0

1

0

5

2faf554fdd446b1955b99d1ea2e5923adc33334f

155

py

Python

normalizer/models.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

normalizer/models.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

normalizer/models.py

pitpalac36/Fraud-Detector

463a737da9b2c11a5c7bd11f5a5ecbc5586d80e7

[ "MIT" ]

null

from dataclasses import dataclass from dataclasses_json import dataclass_json @dataclass_json @dataclass class NormDTO: tran_id: str data: list

14.090909

43

0.793548

20

155

5.95

0.6

0.252101

0.369748

0

0.174194

155

10

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15.5

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1

0

true

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0

1

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null

1

0

null

0

1

0

1

0

5

2fcc48f0b97f2592bb74b1d24ba713a5e2857b98

83

py

Python

hello-world.py

Atlasshrugs00/astr-119

be30734d2580acd947e5b2e22e3039d0d42419f3

[ "MIT" ]

null

hello-world.py

Atlasshrugs00/astr-119

be30734d2580acd947e5b2e22e3039d0d42419f3

[ "MIT" ]

8

2021-09-24T04:02:52.000Z

2021-12-09T05:45:22.000Z

hello-world.py

Atlasshrugs00/astr-119

be30734d2580acd947e5b2e22e3039d0d42419f3

[ "MIT" ]

null

#!/usr/bin/env python3 #this progam will write Hello World! print("Hello World!")

16.6

36

0.722892

13

83

4.615385

0.846154

0.333333

0

0.013889

0.13253

83

5

37

16.6

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0.674699

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0.461538

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true

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1

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null

1

0

1

0

null

0

1

0

1

0

5

2feee93606d88b2141976ca4bafd7a6ce29b0204

1,370

py

Python

homework_04/11_liliya_lyubenova/test_problem.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

7

2021-10-05T14:54:55.000Z

2022-02-16T06:07:12.000Z

homework_04/11_liliya_lyubenova/test_problem.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

2

2021-12-04T10:49:46.000Z

2022-02-28T06:09:06.000Z

homework_04/11_liliya_lyubenova/test_problem.py

valentinvarbanov/software_engineering_2021

33ece7d1e4889840621626e30f975d6cfd370b38

[ "MIT" ]

null

""" Tests for problem.py """ from problem import Point, Circle, RelativePosition def test_no_common_points(): """ First test """ circle_1 = Circle(Point(1.0, 4.0), 3.2) circle_2 = Circle(Point(8.0, 4.0), 3.3) assert circle_1.find_relative_position(circle_2) == RelativePosition.NO_COMMON_POINTS, True def test_touching(): """ Second test """ circle_1 = Circle(Point(1.0, 4.0), 3.2) circle_2 = Circle(Point(8.0, 4.0), 3.8) assert circle_1.find_relative_position(circle_2) == RelativePosition.TOUCHING, True def test_intersecting(): """ Third test """ circle_1 = Circle(Point(1.0, 4.0), 5.2) circle_2 = Circle(Point(8.0, 4.0), 3.8) assert circle_1.find_relative_position(circle_2) == RelativePosition.INTERSECTING, True def test_same_touching(): """ Fourth test """ circle_1 = Circle(Point(1.0, 4.0), 3.2) circle_2 = Circle(Point(1.0, 4.0), 4.0) assert circle_1.find_relative_position(circle_2) == RelativePosition.SAME, True circle_1 = Circle(Point(1.0, 4.0), 3.2) circle_2 = Circle(Point(4.0, 4.0), 7.8) assert circle_1.find_relative_position(circle_2) == RelativePosition.SAME, True circle_1 = Circle(Point(1.0, 4.0), 4.8) circle_2 = Circle(Point(4.0, 4.0), 7.8) assert circle_1.find_relative_position(circle_2) == RelativePosition.SAME, True

30.444444

95

0.665693

221

1,370

3.923077

0.153846

0.034602

0.044983

0.10496

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0.754325

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0

0.085791

0.183212

1,370

44

96

31.136364

0.689008

0.048175

0

0.478261

0

0.26087

1

0.173913

false

0

0.043478

0

0.217391

0

null

0

1

0

null

0

5

ff4138cdbc65770b1e7e0fd4f95810d2cea5d95b

126

py

Python

blog/admin.py

kpi-web-guild/django-girls-blog-igorkruglyak

97bc1df281377b81f70098ae2bb830d2d8ae7447

[ "MIT" ]

null

blog/admin.py

kpi-web-guild/django-girls-blog-igorkruglyak

97bc1df281377b81f70098ae2bb830d2d8ae7447

[ "MIT" ]

33

2019-05-20T01:06:16.000Z

2021-01-09T18:16:33.000Z

blog/admin.py

kpi-web-guild/django-girls-blog-igorkruglyak

97bc1df281377b81f70098ae2bb830d2d8ae7447

[ "MIT" ]

2

2019-08-02T19:44:14.000Z

2021-01-08T21:28:04.000Z

"""Configuration for admin Blog app.""" from django.contrib import admin from .models import Post admin.site.register(Post)

18

39

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18

126

5.388889

0.722222

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0.126984

126

6

40

21

0.881818

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0

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0

true

0

0.666667

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0.666667

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null

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0

null

0

1

0

1

0

1

0

5

ff522b2b021c76c6467dcb0b8e5e16e7c293f110

40

py

Python

main.py

Ryan-Johnson-1315/nba-stats

7e1d4639c3b2eaba087ebaa4740325721a985102

[ "MIT" ]

null

main.py

Ryan-Johnson-1315/nba-stats

7e1d4639c3b2eaba087ebaa4740325721a985102

[ "MIT" ]

null

main.py

Ryan-Johnson-1315/nba-stats

7e1d4639c3b2eaba087ebaa4740325721a985102

[ "MIT" ]

null

from Line import * LineCmd().cmdloop()

10

19

0.7

5

40

5.6

1

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0.15

40

3

20

13.333333

0.823529

0

1

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true

0

0.5

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null

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