xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

4bf5d91066f325eb10f718cf17653424ef557a11

482

py

Python

clippy/__init__.py

gowithfloat/clippy

0d537ff5fb8d2be79f33aa8451fc9facc75c372a

[ "MIT" ]

2

2021-01-16T07:14:11.000Z

2021-01-30T00:57:05.000Z

clippy/__init__.py

gowithfloat/clippy

0d537ff5fb8d2be79f33aa8451fc9facc75c372a

[ "MIT" ]

1

2020-02-11T19:29:52.000Z

2020-02-17T16:03:55.000Z

clippy/__init__.py

gowithfloat/clippy

0d537ff5fb8d2be79f33aa8451fc9facc75c372a

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Clippy (Command Line Interface Parser for Python) crawls the abstract syntax tree (AST) of a Python file and generates a simple command-line interface. Any function annotated with `@clippy` will have it's name, parameters, type annotation, and documentation parsed to generate commands. """ # flake8: noqa from .clip import begin_clippy # pylint: disable=unused-import from .clip import clippy # pylint: disable=unused-import

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0.060773

0.110497

0.138122

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0.00489

0.151452

482

13

152

37.076923

0.880196

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0

null

0

1

0

1

0

1

0

5

ef01459d292c37967d4fc784a80bd2bf31727bab

50

py

Python

xspectre/calibration/__init__.py

njmiller/pyspextool

00783a6bc0bc96441e362f7060fd7c250d16e1a1

[ "MIT" ]

null

xspectre/calibration/__init__.py

njmiller/pyspextool

00783a6bc0bc96441e362f7060fd7c250d16e1a1

[ "MIT" ]

null

xspectre/calibration/__init__.py

njmiller/pyspextool

00783a6bc0bc96441e362f7060fd7c250d16e1a1

[ "MIT" ]

2

2020-03-13T20:33:53.000Z

2020-03-20T20:56:38.000Z

from xspectre.calibration.arcs import CombinedArc

25

49

0.88

6

50

7.333333

1

0

0.08

50

1

50

0.956522

0

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1

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null

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null

0

1

0

1

0

1

0

5

ef17337f786cb54fc99f34185d73ae47fbc4c67e

84

py

Python

cgn/regop/__init__.py

FabianKP/cgn

9963e60c4a4bf4f3869e43d1dfbe11da74887ba5

[ "MIT" ]

1

2022-03-21T00:40:23.000Z

cgn/regop/__init__.py

FabianKP/cgn

9963e60c4a4bf4f3869e43d1dfbe11da74887ba5

[ "MIT" ]

null

cgn/regop/__init__.py

FabianKP/cgn

9963e60c4a4bf4f3869e43d1dfbe11da74887ba5

[ "MIT" ]

null

from .regularization_operator import RegularizationOperator from .operators import *

42

59

0.880952

8

84

9.125

0.75

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0.083333

84

2

60

42

0.948052

0

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1

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null

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0

null

0

1

0

1

0

1

0

5

ef1cbd006320b9527035d1e7dc3db40092c3fee5

84

py

Python

flags/ctf/admin.py

fredericoricco-debug/groupproject

bf22303cff7a2a4bc097f568f0df0b5d72000c3b

[ "MIT" ]

null

flags/ctf/admin.py

fredericoricco-debug/groupproject

bf22303cff7a2a4bc097f568f0df0b5d72000c3b

[ "MIT" ]

null

flags/ctf/admin.py

fredericoricco-debug/groupproject

bf22303cff7a2a4bc097f568f0df0b5d72000c3b

[ "MIT" ]

null

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

21

32

0.821429

13

84

5.307692

0.692308

0

0.107143

84

4

33

21

0.92

0

1

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true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef485c18164994bc09da83904180f75ff3fc09be

95

py

Python

import/main.py

seemoo-lab/polypyus_pdom

c08d06d3268578566978697d0560c34f3b224b55

[ "Apache-2.0" ]

null

import/main.py

seemoo-lab/polypyus_pdom

c08d06d3268578566978697d0560c34f3b224b55

[ "Apache-2.0" ]

null

import/main.py

seemoo-lab/polypyus_pdom

c08d06d3268578566978697d0560c34f3b224b55

[ "Apache-2.0" ]

null

from gui.gui import GuiFromWindow win = GuiFromWindow() win.Show("Import PDOM signatures", 32)

23.75

38

0.778947

13

95

5.692308

0.692308

0.432432

0

0.02381

0.115789

95

4

38

23.75

0.857143

0

0.229167

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ef50b0f95f1e6506a84ff99f8009842533a31c28

145

py

Python

anagram_solver/__main__.py

patrickleweryharris/anagram-solver

176154a889cea9f228e0fde2f563e44e31a12bb5

[ "MIT" ]

12

2016-08-30T19:31:05.000Z

2021-12-26T02:49:53.000Z

anagram_solver/__main__.py

patrickleweryharris/anagram-solver

176154a889cea9f228e0fde2f563e44e31a12bb5

[ "MIT" ]

null

anagram_solver/__main__.py

patrickleweryharris/anagram-solver

176154a889cea9f228e0fde2f563e44e31a12bb5

[ "MIT" ]

3

2017-09-12T02:28:43.000Z

2020-09-10T07:04:12.000Z

# -*- coding: utf-8 -*- """anagram_solver.__main__: executed when directory is called as script.""" from .anagram_solver import main main()

14.5

75

0.696552

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145

5

0.789474

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0.008197

0.158621

145

9

76

16.111111

0.770492

0.634483

0

1

0

true

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null

1

0

1

0

null

0

1

0

1

0

5

32423f71c51ebcc2de8383d01839296ad8838c31

374

py

Python

jobs/admin.py

Qlwentt/qually

550efa326532d6fbb154f9d244905e957f30f3ea

[ "MIT" ]

1

2017-06-20T23:18:15.000Z

jobs/admin.py

Qlwentt/qually

550efa326532d6fbb154f9d244905e957f30f3ea

[ "MIT" ]

8

2017-02-05T05:51:48.000Z

2017-08-27T15:44:05.000Z

jobs/admin.py

Qlwentt/qually

550efa326532d6fbb154f9d244905e957f30f3ea

[ "MIT" ]

null

from django.contrib import admin from jobs.models import Keyword from jobs.models import SavedJob from jobs.models import Resume from jobs.models import Profile from jobs.models import CachedJob # Register your models here. admin.site.register(Keyword) admin.site.register(SavedJob) admin.site.register(Resume) admin.site.register(Profile) admin.site.register(CachedJob)

23.375

33

0.826203

54

374

5.722222

0.296296

0.12945

0.226537

0.323625

0

0.09893

374

16

34

23.375

0.916914

0.069519

0

1

0

true

0

0.545455

0

0.545455

0

null

0

1

0

null

0

1

0

1

0

1

0

5

32878215c8f58ea9df89eb66b0342ef7120bf888

101

py

Python

flakehell/__main__.py

ffix/flakehell-py27

c5f0f68c58cbd39c677e27b3057a52efdcf4080b

[ "MIT" ]

null

flakehell/__main__.py

ffix/flakehell-py27

c5f0f68c58cbd39c677e27b3057a52efdcf4080b

[ "MIT" ]

null

flakehell/__main__.py

ffix/flakehell-py27

c5f0f68c58cbd39c677e27b3057a52efdcf4080b

[ "MIT" ]

null

from __future__ import absolute_import, unicode_literals from ._cli import entrypoint entrypoint()

16.833333

56

0.841584

12

101

6.5

0.666667

0

0.118812

101

5

57

20.2

0.876404

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

32a58b883a66f9c41a771541e0399bfb1a503354

629

py

Python

app/models/user.py

julianamonr03/SunSquare

7e4d3bcc3b3f2e91710b835d1e19e3f55055429b

[ "MIT" ]

null

app/models/user.py

julianamonr03/SunSquare

7e4d3bcc3b3f2e91710b835d1e19e3f55055429b

[ "MIT" ]

null

app/models/user.py

julianamonr03/SunSquare

7e4d3bcc3b3f2e91710b835d1e19e3f55055429b

[ "MIT" ]

1

2022-01-13T15:33:39.000Z

from config import db from flask_login import UserMixin class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) email = db.Column(db.String(100), unique=True) password = db.Column(db.String(45), nullable=False) #name = db.Column(db.String(45), nullable=False) #lastname = db.Column(db.String(45), nullable=False) #age = db.Column(db.Integer, nullable=False) #typeofwork = db.Column(db.String(100), nullable=False) #incomes = db.Column(db.Integer, nullable=False) #phone = db.Column(db.Integer, nullable=False) #references = db.Column(db.String(200), nullable=False)

41.933333

59

0.704293

91

629

4.846154

0.351648

0.181406

0.226757

0.217687

0.501134

0.414966

0.210884

0

0.027933

0.146264

629

14

60

44.928571

0.793296

0.54213

0

1

0

false

0.166667

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

5

086946b588febbc6e181914e74192844634e5492

39

py

Python

basics/solutions/rms.py

carlosal1015/ACM-Python-Tutorials-KAUST-2015

688acf1017dba7687254a8c880b7f19c6f939c3f

[ "CC-BY-3.0" ]

5

2019-01-16T14:43:43.000Z

2021-06-29T02:20:47.000Z

basics/solutions/rms.py

carlosal1015/ACM-Python-Tutorials-KAUST-2015

688acf1017dba7687254a8c880b7f19c6f939c3f

[ "CC-BY-3.0" ]

null

basics/solutions/rms.py

carlosal1015/ACM-Python-Tutorials-KAUST-2015

688acf1017dba7687254a8c880b7f19c6f939c3f

[ "CC-BY-3.0" ]

3

2017-02-21T06:19:19.000Z

2021-06-29T02:20:54.000Z

rms = sqrt(sse / y.shape[0]) print rms

13

28

0.641026

8

39

3.125

0.875

0

0.03125

0.179487

39

2

29

19.5

0.75

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

08a9596cac187df6e6db91920770d8638e0ce04d

44

py

Python

src/runscraper.py

Ematrix163/Dublin_bikes

ab0e39548e5cee36c7f7a21a722520f213f54e4e

[ "MIT" ]

2

2018-02-27T10:45:36.000Z

2018-03-23T11:40:47.000Z

src/runscraper.py

Ematrix163/Dublin_bikes

ab0e39548e5cee36c7f7a21a722520f213f54e4e

[ "MIT" ]

null

src/runscraper.py

Ematrix163/Dublin_bikes

ab0e39548e5cee36c7f7a21a722520f213f54e4e

[ "MIT" ]

null

from db import operations operations.main()

14.666667

25

0.818182

6

44

6

0.833333

0

0.113636

44

2

26

22

0.923077

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

08b48e08020c924691652fcc6f4e94fda2a7726f

82

py

Python

scripts/field/autogen_ZipanguScene_6_6.py

hsienjan/SideQuest-Server

3e88debaf45615b759d999255908f99a15283695

[ "MIT" ]

null

scripts/field/autogen_ZipanguScene_6_6.py

hsienjan/SideQuest-Server

3e88debaf45615b759d999255908f99a15283695

[ "MIT" ]

null

scripts/field/autogen_ZipanguScene_6_6.py

hsienjan/SideQuest-Server

3e88debaf45615b759d999255908f99a15283695

[ "MIT" ]

null

# Character field ID when accessed: 800025005 # ObjectID: 0 # ParentID: 800025005

20.5

45

0.768293

10

82

6.3

0.9

0

0.275362

0.158537

82

3

46

27.333333

0.637681

0.914634

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

3eaf613110f51eb51c719d0f4210b7ad47102419

338

py

Python

abctenant/aws/utils.py

mufasa101/python_daraja

d5c3f4e8357e1054834a4735386f6fc622ef40d3

[ "MIT" ]

null

abctenant/aws/utils.py

mufasa101/python_daraja

d5c3f4e8357e1054834a4735386f6fc622ef40d3

[ "MIT" ]

null

abctenant/aws/utils.py

mufasa101/python_daraja

d5c3f4e8357e1054834a4735386f6fc622ef40d3

[ "MIT" ]

null

from storages.backends.s3boto3 import S3Boto3Storage # def StaticRootS3BotoStorage(): return S3Boto3Storage(location='static') # def MediaRootS3BotoStorage(): return S3Boto3Storage(location='media') StaticRootS3BotoStorage = lambda: S3Boto3Storage(location='static') MediaRootS3BotoStorage = lambda: S3Boto3Storage(location='media')

33.8

73

0.819527

28

338

9.892857

0.5

0.31769

0.202166

0

0.051447

0.079882

338

9

74

37.555556

0.839228

0.41716

0

0.056701

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

f5aa87bbb81b4cf530d4712791a914ae8dcf9d32

46

py

Python

gip/logging/autoinit.py

elda27/GIP

b79a444a411042967484d7c5d88639084748d1b0

[ "MIT" ]

null

gip/logging/autoinit.py

elda27/GIP

b79a444a411042967484d7c5d88639084748d1b0

[ "MIT" ]

null

gip/logging/autoinit.py

elda27/GIP

b79a444a411042967484d7c5d88639084748d1b0

[ "MIT" ]

null

from gip import logging logging.initialize()

11.5

23

0.804348

6

46

6.166667

0.833333

0

0.130435

46

3

24

15.333333

0.925

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f5dfb4ff4036da14b7adf30b6d0f8c681601097c

215

py

Python

models/models.py

noahkw/jag-url

4e24ce251213efbbb366bf686beab47a217c44ae

[ "MIT" ]

null

models/models.py

noahkw/jag-url

4e24ce251213efbbb366bf686beab47a217c44ae

[ "MIT" ]

null

models/models.py

noahkw/jag-url

4e24ce251213efbbb366bf686beab47a217c44ae

[ "MIT" ]

null

from sqlalchemy import Column, String from database import Base class Url(Base): __tablename__ = 'urls' short_url = Column(String, primary_key=True, index=True) long_url = Column(String, index=True)

19.545455

60

0.730233

29

215

5.172414

0.586207

0.24

0.2

0

0.181395

215

10

61

21.5

0.852273

0

0.018605

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

null

0

1

0

1

0

5

eb219ff0c73974990b0284e10070ea141530c7cd

87

py

Python

Python Programming/02. Control Flow/01-Comparing Operators.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

1

2021-07-15T18:40:26.000Z

Python Programming/02. Control Flow/01-Comparing Operators.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

Python Programming/02. Control Flow/01-Comparing Operators.py

luckyrabbit85/Python

ed134fd70b4a7b84b183b87b85ad5190f54c9526

[ "MIT" ]

null

print(1 > 2) print("tiger" > "elephant") print(ord("t")) print(ord("a")) print(9 == 9)

14.5

27

0.574713

15

87

3.333333

0.6

0.32

0

0.052632

0.126437

87

5

28

17.4

0.605263

0

0.172414

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

de6ed9b0ff179bb3730324525d43ef0ad5c4f26f

231

py

Python

HeterogeneousCore/CUDATest/python/prod1FromCUDA_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

HeterogeneousCore/CUDATest/python/prod1FromCUDA_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

HeterogeneousCore/CUDATest/python/prod1FromCUDA_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from HeterogeneousCore.CUDATest.testCUDAProducerGPUtoCPU_cfi import testCUDAProducerGPUtoCPU as _testCUDAProducerGPUtoCPU prod1FromCUDA = _testCUDAProducerGPUtoCPU.clone(src = "prod1CUDA")

46.2

121

0.883117

20

231

10.05

0.75

0

0.009302

0.069264

231

4

122

57.75

0.925581

0

0.038961

0

1

0

false

0

0.666667

0

0.666667

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

de6f9bd8f89729f01c6cb11464d8212ca33a68a3

341

py

Python

stockpyle/stores.py

mjpizz/stockpyle

627ab3038daff4a68ccfc5359b329b253fabc8ef

[ "BSD-3-Clause" ]

4

2016-04-16T20:55:58.000Z

2021-03-07T00:27:26.000Z

stockpyle/stores.py

rblomberg/stockpyle

627ab3038daff4a68ccfc5359b329b253fabc8ef

[ "BSD-3-Clause" ]

1

2016-03-19T15:28:24.000Z

2016-03-21T08:32:57.000Z

stockpyle/stores.py

rblomberg/stockpyle

627ab3038daff4a68ccfc5359b329b253fabc8ef

[ "BSD-3-Clause" ]

1

2016-03-11T18:09:33.000Z

from stockpyle._base import BaseStore, BaseDictionaryStore from stockpyle._threadlocal import ThreadLocalStore from stockpyle._procmem import ProcessMemoryStore from stockpyle._memcache import MemcacheStore from stockpyle._shove import ShoveStore from stockpyle._sqlalchemy import SqlAlchemyStore from stockpyle._chained import ChainedStore

42.625

58

0.891496

36

341

8.25

0.5

0.306397

0

0.085044

341

7

59

48.714286

0.951923

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

de8a6d4e5e62e79d25a9e228bca7281fd5f21d4d

41

py

Python

tests/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

1

2021-06-23T14:16:14.000Z

tests/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

36

2021-07-12T10:42:03.000Z

2022-03-29T13:07:01.000Z

tests/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

1

2022-01-28T13:27:58.000Z

"""Test suite for the pertpy package."""

20.5

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0.682927

6

41

4.666667

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0

0.146341

41

1

41

0.8

0.829268

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null

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null

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null

true

0

null

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null

0

1

0

1

0

null

0

1

0

5

72062b105fcdaf01bbabf192fa814be2d64a35cd

30

py

Python

oruliner/__init__.py

CoDeRgAnEsh/1line

507ef35b0006fc2998463dee92c2fdae53fe0694

[ "MIT" ]

3

2019-06-11T16:19:09.000Z

2020-05-25T18:43:38.000Z

oruliner/__init__.py

CoDeRgAnEsh/1line

507ef35b0006fc2998463dee92c2fdae53fe0694

[ "MIT" ]

null

oruliner/__init__.py

CoDeRgAnEsh/1line

507ef35b0006fc2998463dee92c2fdae53fe0694

[ "MIT" ]

null

from .oruliner import oruline

15

29

0.833333

4

30

6.25

1

0

0.133333

30

1

30

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9d29c2d04a0f95eeaf1301c0b041273c5207db65

89

py

Python

Uche Clare/Phase 1/Python Basic 1/Day 12/Task 105.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Uche Clare/Phase 1/Python Basic 1/Day 12/Task 105.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Uche Clare/Phase 1/Python Basic 1/Day 12/Task 105.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

#Write a Python program to get the users environment. import os print() print(os.environ)

22.25

53

0.786517

15

89

4.666667

0.866667

0

0.134831

89

4

54

22.25

0.909091

0.58427

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9d2e42a3abb9432f2d0ad86786cb782fd707cebf

36

py

Python

tasker/tasker/figurer/test/resources/nested-imports.py

sara-nl/data-exchange

52b9c2554a52b56686f3a06f583a7a6454bf6df6

[ "Apache-2.0" ]

4

2020-12-03T14:13:29.000Z

2021-04-19T03:03:19.000Z

tasker/tasker/figurer/test/resources/nested-imports.py

sara-nl/data-exchange

52b9c2554a52b56686f3a06f583a7a6454bf6df6

[ "Apache-2.0" ]

null

tasker/tasker/figurer/test/resources/nested-imports.py

sara-nl/data-exchange

52b9c2554a52b56686f3a06f583a7a6454bf6df6

[ "Apache-2.0" ]

null

import foo def bar: import bar

7.2

14

0.666667

6

36

4

0.666667

0

0.305556

36

5

14

7.2

0.96

0

null

0

0.666667

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

19dc2408d050d0563b3ba56582d9efd18c9db60c

4,432

py

Python

pyaz/batch/pool/autoscale/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/batch/pool/autoscale/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/batch/pool/autoscale/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage automatic scaling of Batch pools. ''' from .... pyaz_utils import _call_az def disable(pool_id, account_endpoint=None, account_key=None, account_name=None): ''' Required Parameters: - pool_id -- The ID of the Pool on which to disable automatic scaling. Optional Parameters: - account_endpoint -- Batch service endpoint. Alternatively, set by environment variable: AZURE_BATCH_ENDPOINT - account_key -- Batch account key. Alternatively, set by environment variable: AZURE_BATCH_ACCESS_KEY - account_name -- Batch account name. Alternatively, set by environment variable: AZURE_BATCH_ACCOUNT ''' return _call_az("az batch pool autoscale disable", locals()) def enable(pool_id, account_endpoint=None, account_key=None, account_name=None, auto_scale_evaluation_interval=None, auto_scale_formula=None, if_match=None, if_modified_since=None, if_none_match=None, if_unmodified_since=None): ''' Required Parameters: - pool_id -- The ID of the Pool on which to enable automatic scaling. Optional Parameters: - account_endpoint -- Batch service endpoint. Alternatively, set by environment variable: AZURE_BATCH_ENDPOINT - account_key -- Batch account key. Alternatively, set by environment variable: AZURE_BATCH_ACCESS_KEY - account_name -- Batch account name. Alternatively, set by environment variable: AZURE_BATCH_ACCOUNT - auto_scale_evaluation_interval -- The default value is 15 minutes. The minimum and maximum value are 5 minutes and 168 hours respectively. If you specify a value less than 5 minutes or greater than 168 hours, the Batch service rejects the request with an invalid property value error; if you are calling the REST API directly, the HTTP status code is 400 (Bad Request). If you specify a new interval, then the existing autoscale evaluation schedule will be stopped and a new autoscale evaluation schedule will be started, with its starting time being the time when this request was issued. - auto_scale_formula -- The formula is checked for validity before it is applied to the Pool. If the formula is not valid, the Batch service rejects the request with detailed error information. For more information about specifying this formula, see Automatically scale Compute Nodes in an Azure Batch Pool (https://azure.microsoft.com/en-us/documentation/articles/batch-automatic-scaling). - if_match -- An ETag value associated with the version of the resource known to the client. The operation will be performed only if the resource's current ETag on the service exactly matches the value specified by the client. - if_modified_since -- A timestamp indicating the last modified time of the resource known to the client. The operation will be performed only if the resource on the service has been modified since the specified time. - if_none_match -- An ETag value associated with the version of the resource known to the client. The operation will be performed only if the resource's current ETag on the service does not match the value specified by the client. - if_unmodified_since -- A timestamp indicating the last modified time of the resource known to the client. The operation will be performed only if the resource on the service has not been modified since the specified time. ''' return _call_az("az batch pool autoscale enable", locals()) def evaluate(auto_scale_formula, pool_id, account_endpoint=None, account_key=None, account_name=None): ''' Required Parameters: - auto_scale_formula -- The formula is validated and its results calculated, but it is not applied to the Pool. To apply the formula to the Pool, 'Enable automatic scaling on a Pool'. For more information about specifying this formula, see Automatically scale Compute Nodes in an Azure Batch Pool (https://azure.microsoft.com/en-us/documentation/articles/batch-automatic-scaling). - pool_id -- The ID of the Pool on which to evaluate the automatic scaling formula. Optional Parameters: - account_endpoint -- Batch service endpoint. Alternatively, set by environment variable: AZURE_BATCH_ENDPOINT - account_key -- Batch account key. Alternatively, set by environment variable: AZURE_BATCH_ACCESS_KEY - account_name -- Batch account name. Alternatively, set by environment variable: AZURE_BATCH_ACCOUNT ''' return _call_az("az batch pool autoscale evaluate", locals())

77.754386

595

0.777753

651

4,432

5.168971

0.235023

0.032689

0.048143

0.077563

0.721843

0.702229

0.665973

0.617236

0

0.003521

0.166968

4,432

56

596

79.142857

0.907909

0.813628

0

0.13964

0

1

0.428571

false

0

0.142857

0

1

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null

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1

0

1

0

null

0

1

0

1

0

5

19f2b4d8c895d124b6fd863a915ddb83a70cbd17

165

py

Python

obm/__init__.py

aploium/obm

d68a15d2b53accbb661eb66f6610825285f4ef7b

[ "MIT" ]

null

obm/__init__.py

aploium/obm

d68a15d2b53accbb661eb66f6610825285f4ef7b

[ "MIT" ]

null

obm/__init__.py

aploium/obm

d68a15d2b53accbb661eb66f6610825285f4ef7b

[ "MIT" ]

null

#!/usr/bin/env python3 # coding=utf-8 from .model import Model from .fields import IntField, BytesField, BitsField from .fields_extended import PrefixedOptionsField

27.5

51

0.812121

22

165

6.045455

0.727273

0.150376

0

0.013605

0.109091

165

5

52

33

0.891156

0.206061

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c22f9b147f63cbfb9fcbd76a7a3749cac6bb85af

326

py

Python

msg.py

lobadic/gladiatus-api

819351b7f771ba70f2fd3800986fb2143bbaf92f

[ "MIT" ]

3

2019-02-14T17:43:42.000Z

2019-11-27T15:12:25.000Z

msg.py

lobadic/gladiatus-api

819351b7f771ba70f2fd3800986fb2143bbaf92f

[ "MIT" ]

null

msg.py

lobadic/gladiatus-api

819351b7f771ba70f2fd3800986fb2143bbaf92f

[ "MIT" ]

null

import time #time.strftime("%d-%m-%Y %H:%M:%S", time.gmtime()) def info(text): print(f'[INFO {time.strftime("%H:%M:%S", time.gmtime())}] {text}') def warning(text): print(f'[WARNING {time.strftime("%H:%M:%S", time.gmtime())}] {text}') def error(text): print(f'[ERROR {time.strftime("%H:%M:%S", time.gmtime())}] {text}')

27.166667

70

0.601227

54

326

3.62963

0.296296

0.244898

0.061224

0.142857

0.540816

0.47449

0.326531

0

0.088957

326

12

71

27.166667

0.659933

0.150307

0

0.620939

0.281588

0

1

0.428571

false

0

0.142857

0

0.571429

0.428571

0

null

1

0

1

0

null

0

1

0

1

0

5

dfa58769055e9aa6d9389e6e8922733c1b2c168a

101

py

Python

gui/hooks/hook-scipy.py

duke-lungmap-team/lungmap-pipeline

8f27c76ec42f1cb1f8cbc8063848f808bb160ce7

[ "BSD-2-Clause" ]

null

gui/hooks/hook-scipy.py

duke-lungmap-team/lungmap-pipeline

8f27c76ec42f1cb1f8cbc8063848f808bb160ce7

[ "BSD-2-Clause" ]

6

2019-06-03T15:05:43.000Z

2019-06-28T14:36:20.000Z

gui/hooks/hook-scipy.py

duke-lungmap-team/lungmap-pipeline

8f27c76ec42f1cb1f8cbc8063848f808bb160ce7

[ "BSD-2-Clause" ]

1

2019-06-07T14:57:42.000Z

from PyInstaller.utils.hooks import collect_submodules hiddenimports = collect_submodules('scipy')

20.2

54

0.841584

11

101

7.545455

0.818182

0.409639

0

0.089109

101

4

55

25.25

0.902174

0

0.05

0

1

0

false

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

dfd45a5b153b179ccd6c7103301eae6994c00b4d

66

py

Python

RL/utils/__init__.py

JUSTLOVELE/MobileDevStudy

ddcfd67d9ad66dd710fcbb355406bab3679ebaf7

[ "MIT" ]

1

2021-09-26T04:31:52.000Z

RL/utils/__init__.py

JUSTLOVELE/MobileDevStudy

ddcfd67d9ad66dd710fcbb355406bab3679ebaf7

[ "MIT" ]

null

RL/utils/__init__.py

JUSTLOVELE/MobileDevStudy

ddcfd67d9ad66dd710fcbb355406bab3679ebaf7

[ "MIT" ]

1

2020-06-28T01:04:38.000Z

import numpy as np import torch as torch print(torch.__version__)

16.5

24

0.818182

11

66

4.545455

0.636364

0

0.136364

66

4

24

16.5

0.877193

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dfe5a09adcaae8eba498ceb70308db4a0a3f5dc5

737

py

Python

apgl/graph/__init__.py

mathemaphysics/APGL

6ca7c176e04017feeae00c4cee069fd126df0fbc

[ "BSD-3-Clause" ]

13

2015-02-19T14:39:09.000Z

2021-04-12T01:22:32.000Z

apgl/graph/__init__.py

mathemaphysics/APGL

6ca7c176e04017feeae00c4cee069fd126df0fbc

[ "BSD-3-Clause" ]

1

2020-07-29T07:09:33.000Z

apgl/graph/__init__.py

mathemaphysics/APGL

6ca7c176e04017feeae00c4cee069fd126df0fbc

[ "BSD-3-Clause" ]

7

2015-03-16T07:26:49.000Z

2021-01-12T06:57:27.000Z

from apgl.graph.SparseGraph import SparseGraph from apgl.graph.GeneralVertexList import GeneralVertexList from apgl.graph.DenseGraph import DenseGraph from apgl.graph.DictGraph import DictGraph from apgl.graph.VertexList import VertexList from apgl.graph.GraphUtils import GraphUtils from apgl.graph.GraphStatistics import GraphStatistics from apgl.graph.AbstractSingleGraph import AbstractSingleGraph from apgl.graph.AbstractMatrixGraph import AbstractMatrixGraph #Optional modules are tried and ignored if not present try: from apgl.graph.PySparseGraph import PySparseGraph except ImportError as error: pass try: from apgl.graph.CsArrayGraph import CsArrayGraph except ImportError as error: pass

35.095238

63

0.822252

87

737

6.965517

0.344828

0.145215

0.235974

0.052805

0.092409

0

0.141113

737

20

64

36.85

0.957346

0.071913

0

0.352941

0

1

0

true

0.117647

0.764706

0

0.764706

0

null

0

1

0

null

0

1

0

1

0

5

dff5f460d1f5c6edc026c55ad01df99d6b48eeb8

128

py

Python

AnovaMaster/__init__.py

lolouk44/anovamaster

5054d027e691dd43be02e50be9b2bfeb3a5dfcbd

[ "BSD-2-Clause" ]

2

2020-09-08T21:12:09.000Z

2022-02-13T05:57:19.000Z

AnovaMaster/__init__.py

lolouk44/anovamaster

5054d027e691dd43be02e50be9b2bfeb3a5dfcbd

[ "BSD-2-Clause" ]

null

AnovaMaster/__init__.py

lolouk44/anovamaster

5054d027e691dd43be02e50be9b2bfeb3a5dfcbd

[ "BSD-2-Clause" ]

1

2020-09-28T21:18:23.000Z

from .AnovaConfiguration import AnovaConfiguration from .AnovaMaster import AnovaMaster from .AnovaStatus import AnovaStatus

32

51

0.859375

12

128

9.166667

0.416667

0

0.117188

128

3

52

42.666667

0.973451

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a03b735ebc54e3a5c7e8f784cb5609781b344cb7

111

py

Python

Jeewa/chapter 5/3.py

Eurydia/Xian-assignment

4a7e4bcd3d4999ea7429054fec1792064c96ff30

[ "MIT" ]

null

Jeewa/chapter 5/3.py

Eurydia/Xian-assignment

4a7e4bcd3d4999ea7429054fec1792064c96ff30

[ "MIT" ]

null

Jeewa/chapter 5/3.py

Eurydia/Xian-assignment

4a7e4bcd3d4999ea7429054fec1792064c96ff30

[ "MIT" ]

null

n = int(input('Enter an integer(n): ')) print(f'Fac({n}) => {"*".join(str(i) for i in range(1, n+1))} = {f}')

27.75

69

0.513514

22

111

2.590909

0.727273

0

0.021277

0.153153

111

3

70

37

0.585106

0

0.5

0.720721

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

5

a03d132123290dbd402ce6ce24330fb27a1b924b

81

py

Python

src/autotests/conftest.py

NSKgooner/hack_moscow

27ae092d0086c8dde2ceb9598e65c3b79a654f56

[ "Apache-2.0" ]

3

2019-10-27T07:40:26.000Z

2020-04-18T20:44:08.000Z

src/autotests/conftest.py

NSKgooner/hack_moscow

27ae092d0086c8dde2ceb9598e65c3b79a654f56

[ "Apache-2.0" ]

1

2019-11-04T04:16:29.000Z

src/autotests/conftest.py

NSKgooner/hack_moscow

27ae092d0086c8dde2ceb9598e65c3b79a654f56

[ "Apache-2.0" ]

null

import pytest @pytest.fixture def url(): return 'http://206.81.5.208:8080'

11.571429

37

0.666667

13

81

4.153846

0.923077

0

0.191176

0.160494

81

6

38

13.5

0.602941

0

0.296296

0

1

0.25

true

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a07666e340ef2d93d5ba996ce114464365405086

339

py

Python

core/__init__.py

Pomb/Yahtzee

b15af59299ef68bdf44c56fb314514fe76d416ca

[ "MIT" ]

null

core/__init__.py

Pomb/Yahtzee

b15af59299ef68bdf44c56fb314514fe76d416ca

[ "MIT" ]

null

core/__init__.py

Pomb/Yahtzee

b15af59299ef68bdf44c56fb314514fe76d416ca

[ "MIT" ]

null

from .save.jsonSave import JsonSave # noqa from .dice import d6Set # noqa from .command import * # noqa from .player import Player # noqa from .turn import Turn # noqa from .titleVisualizer import TitleVisualizer # noqa from .scoreRules import ScoreRules # noqa from .gameData import GameData # noqa from .menu import Menu # noqa

33.9

52

0.755162

45

339

5.688889

0.311111

0.25

0

0.003623

0.185841

339

9

53

37.666667

0.923913

0.129794

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

a0a948e92093e299e5e3f500126265645d2c3bc3

67

py

Python

pykeos/__init__.py

yop0/pykeos

02c141cfb3a56a221a3a47ab90b8da047bee2daf

[ "BSD-3-Clause" ]

null

pykeos/__init__.py

yop0/pykeos

02c141cfb3a56a221a3a47ab90b8da047bee2daf

[ "BSD-3-Clause" ]

null

pykeos/__init__.py

yop0/pykeos

02c141cfb3a56a221a3a47ab90b8da047bee2daf

[ "BSD-3-Clause" ]

null

from .tools import * from .systems import * from .measures import *

22.333333

23

0.746269

9

67

5.555556

0.555556

0.4

0

0.164179

67

3

23

22.333333

0.892857

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

260d01a152294bf619300c6eeb10d8d2f53b071b

11,516

py

Python

test/console/pathtests.py

geoco84/comodit-client

4cf47e60a6739ed8b88ce8b955ed57375c4d400d

[ "MIT" ]

1

2015-01-20T17:24:34.000Z

test/console/pathtests.py

geoco84/comodit-client

4cf47e60a6739ed8b88ce8b955ed57375c4d400d

[ "MIT" ]

null

test/console/pathtests.py

geoco84/comodit-client

4cf47e60a6739ed8b88ce8b955ed57375c4d400d

[ "MIT" ]

24

2016-09-07T15:28:00.000Z

2021-12-08T16:03:16.000Z

import unittest import comodit_client.console.items as items from comodit_client.console.paths import resolve_dots, absolute_elems, PathModel from unittest import TestCase class Mock: pass class PathResolving(TestCase): def test_resolve_dots(self): self.assertEqual(resolve_dots(['x', '.']), ['x']) self.assertEqual(resolve_dots(['x', '.', 'y']), ['x', 'y']) self.assertEqual(resolve_dots(['x', 'y', '..']), ['x']) self.assertEqual(resolve_dots(['x', '..']), []) self.assertEqual(resolve_dots(['x', '..', 'y']), ['y']) self.assertEqual(resolve_dots(['x', 'y', 'z', '..', '..']), ['x']) self.assertEqual(resolve_dots(['..', '..']), []) def test_absolute_elems(self): current = Mock() current.absolute_path = 'x' self.assertEqual(absolute_elems(current, 'y'), ['x', 'y']) def test_absolute_elems_slash(self): current = Mock() self.assertEqual(absolute_elems(current, '/'), []) def test_resolve_root(self): (res_vars, node_type) = PathModel().resolve([]) self.assertEqual(node_type['label'], items.RootItem) self.assertEqual(res_vars, {}) def test_resolve_org(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name']) self.assertEqual(node_type['label'], items.OrganizationItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_org_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name', 'settings']) self.assertEqual(node_type['label'], items.OrgSettingsItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_org_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'settings', 'name2']) self.assertEqual(node_type['label'], items.OrgSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'key': 'name2'}) def test_resolve_envs(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name', 'environments']) self.assertEqual(node_type['label'], items.EnvironmentsItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_env(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2']) self.assertEqual(node_type['label'], items.EnvironmentItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2'}) def test_resolve_env_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'settings']) self.assertEqual(node_type['label'], items.EnvSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2'}) def test_resolve_env_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'settings', 'name3']) self.assertEqual(node_type['label'], items.EnvSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'key': 'name3'}) def test_resolve_hosts(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts']) self.assertEqual(node_type['label'], items.HostsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2'}) def test_resolve_host(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3']) self.assertEqual(node_type['label'], items.HostItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'settings']) self.assertEqual(node_type['label'], items.HostSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'settings', 'name4']) self.assertEqual(node_type['label'], items.HostSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'key': 'name4'}) def test_resolve_apps(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name', 'applications']) self.assertEqual(node_type['label'], items.ApplicationsItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_app(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'applications', 'name2']) self.assertEqual(node_type['label'], items.ApplicationItem) self.assertEqual(res_vars, {'org_name': 'name1', 'app_name': 'name2'}) def test_resolve_dists(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name', 'distributions']) self.assertEqual(node_type['label'], items.DistributionsItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_dist(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'distributions', 'name2']) self.assertEqual(node_type['label'], items.DistributionItem) self.assertEqual(res_vars, {'org_name': 'name1', 'dist_name': 'name2'}) def test_resolve_dist_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'distributions', 'name2', 'settings']) self.assertEqual(node_type['label'], items.DistSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'dist_name': 'name2'}) def test_resolve_dist_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'distributions', 'name2', 'settings', 'name3']) self.assertEqual(node_type['label'], items.DistSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'dist_name': 'name2', 'key': 'name3'}) def test_resolve_plats(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name', 'platforms']) self.assertEqual(node_type['label'], items.PlatformsItem) self.assertEqual(res_vars, {'org_name': 'name'}) def test_resolve_plat(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'platforms', 'name2']) self.assertEqual(node_type['label'], items.PlatformItem) self.assertEqual(res_vars, {'org_name': 'name1', 'plat_name': 'name2'}) def test_resolve_plat_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'platforms', 'name2', 'settings']) self.assertEqual(node_type['label'], items.PlatSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'plat_name': 'name2'}) def test_resolve_plat_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'platforms', 'name2', 'settings', 'name3']) self.assertEqual(node_type['label'], items.PlatSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'plat_name': 'name2', 'key': 'name3'}) def test_resolve_host_apps(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'applications']) self.assertEqual(node_type['label'], items.HostAppsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_app(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'applications', 'name4']) self.assertEqual(node_type['label'], items.HostAppItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'app_name': 'name4'}) def test_resolve_host_dist(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'distribution']) self.assertEqual(node_type['label'], items.HostDistItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_plat(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'platform']) self.assertEqual(node_type['label'], items.HostPlatItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_app_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'applications', 'name4', 'settings']) self.assertEqual(node_type['label'], items.HostAppSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'app_name': 'name4'}) def test_resolve_host_app_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'applications', 'name4', 'settings', 'name5']) self.assertEqual(node_type['label'], items.HostAppSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'app_name': 'name4', 'key': 'name5'}) def test_resolve_host_dist_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'distribution', 'settings']) self.assertEqual(node_type['label'], items.HostDistSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_dist_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'distribution', 'settings', 'name4']) self.assertEqual(node_type['label'], items.HostDistSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'key': 'name4'}) def test_resolve_host_plat_settings(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'platform', 'settings']) self.assertEqual(node_type['label'], items.HostPlatSettingsItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) def test_resolve_host_plat_setting(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'platform', 'settings', 'name4']) self.assertEqual(node_type['label'], items.HostPlatSettingItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3', 'key': 'name4'}) def test_resolve_host_instance(self): (res_vars, node_type) = PathModel().resolve(['organizations', 'name1', 'environments', 'name2', 'hosts', 'name3', 'instance']) self.assertEqual(node_type['label'], items.HostInstanceItem) self.assertEqual(res_vars, {'org_name': 'name1', 'env_name': 'name2', 'host_name': 'name3'}) if __name__ == '__main__': unittest.main()

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13fdbd4a2394334c1021403873dadb3dbe7525c4

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Python

tests/parsers/c_parser/exprs/binary_ops/neq_op_expr_tests.py

mehrdad-shokri/retdec-regression-tests-framework

9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3

[ "MIT" ]

21

2017-12-12T20:38:43.000Z

2019-04-14T12:46:10.000Z

tests/parsers/c_parser/exprs/binary_ops/neq_op_expr_tests.py

mehrdad-shokri/retdec-regression-tests-framework

9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3

[ "MIT" ]

6

2018-01-06T13:32:23.000Z

2018-09-14T15:09:11.000Z

tests/parsers/c_parser/exprs/binary_ops/neq_op_expr_tests.py

mehrdad-shokri/retdec-regression-tests-framework

9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3

[ "MIT" ]

11

2017-12-12T20:38:46.000Z

2018-07-19T03:12:03.000Z

""" Tests for the :module`regression_tests.parsers.c_parser.exprs.binary_ops.neq_op_expr` module. """ from tests.parsers.c_parser import WithModuleTests class NeqOpExprTests(WithModuleTests): """Tests for `NeqOpExpr`.""" def test_neq_op_expr_is_neq_op(self): neq_op_expr = self.get_expr('1 != 2', 'int') self.assertTrue(neq_op_expr.is_neq_op()) def test_neq_op_expr_is_no_other_expr(self): neq_op_expr = self.get_expr('1 != 2', 'int') self.assertFalse(neq_op_expr.is_eq_op()) self.assertFalse(neq_op_expr.is_gt_op()) self.assertFalse(neq_op_expr.is_gt_eq_op()) self.assertFalse(neq_op_expr.is_lt_op()) self.assertFalse(neq_op_expr.is_lt_eq_op()) self.assertFalse(neq_op_expr.is_add_op()) self.assertFalse(neq_op_expr.is_sub_op()) self.assertFalse(neq_op_expr.is_mul_op()) self.assertFalse(neq_op_expr.is_mod_op()) self.assertFalse(neq_op_expr.is_div_op()) self.assertFalse(neq_op_expr.is_and_op()) self.assertFalse(neq_op_expr.is_or_op()) self.assertFalse(neq_op_expr.is_bit_and_op()) self.assertFalse(neq_op_expr.is_bit_or_op()) self.assertFalse(neq_op_expr.is_bit_xor_op()) self.assertFalse(neq_op_expr.is_bit_shl_op()) self.assertFalse(neq_op_expr.is_bit_shr_op()) self.assertFalse(neq_op_expr.is_not_op()) self.assertFalse(neq_op_expr.is_neg_op()) self.assertFalse(neq_op_expr.is_assign_op()) self.assertFalse(neq_op_expr.is_address_op()) self.assertFalse(neq_op_expr.is_deref_op()) self.assertFalse(neq_op_expr.is_array_index_op()) self.assertFalse(neq_op_expr.is_comma_op()) self.assertFalse(neq_op_expr.is_ternary_op()) self.assertFalse(neq_op_expr.is_call()) self.assertFalse(neq_op_expr.is_cast()) self.assertFalse(neq_op_expr.is_pre_increment_op()) self.assertFalse(neq_op_expr.is_post_increment_op()) self.assertFalse(neq_op_expr.is_pre_decrement_op()) self.assertFalse(neq_op_expr.is_post_decrement_op()) self.assertFalse(neq_op_expr.is_compound_assign_op()) self.assertFalse(neq_op_expr.is_struct_ref_op()) self.assertFalse(neq_op_expr.is_struct_deref_op()) def test_repr_returns_correct_repr(self): add_op_expr = self.get_expr('1 != 2', 'int') self.assertEqual(repr(add_op_expr), '<NeqOpExpr lhs=1 rhs=2>') def test_str_returns_correct_str(self): add_op_expr = self.get_expr('1 != 2', 'int') self.assertEqual(str(add_op_expr), '1 != 2')

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cd25a1185185ccf421781ed099b85849c622386f

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py

Python

tests/tools/emr/test_report_long_jobs.py

mikiec84/mrjob

801fffffdc6af860edd7813c948f9da341305b21

[ "Apache-2.0" ]

1,538

2015-01-02T10:22:17.000Z

2022-03-29T16:42:33.000Z

tests/tools/emr/test_report_long_jobs.py

mikiec84/mrjob

801fffffdc6af860edd7813c948f9da341305b21

[ "Apache-2.0" ]

1,027

2015-01-09T21:30:37.000Z

2022-02-26T18:21:42.000Z

tests/tools/emr/test_report_long_jobs.py

mikiec84/mrjob

801fffffdc6af860edd7813c948f9da341305b21

[ "Apache-2.0" ]

403

2015-01-06T15:49:44.000Z

2022-03-29T16:42:34.000Z

# Copyright 2011-2012 Yelp # Copyright 2015-2017 Yelp # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Very basic tests for the audit_usage script""" import sys from datetime import datetime from datetime import timedelta from dateutil.parser import parse from dateutil.tz import tzutc from mrjob.py2 import StringIO from mrjob.tools.emr.report_long_jobs import _find_long_running_jobs from mrjob.tools.emr.report_long_jobs import main from tests.mock_boto3 import MockBoto3TestCase CLUSTERS = [ dict( Id='j-STARTING', Name='mr_grieving', Status=dict( State='STARTING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:05:00Z'), ), ), Tags=[], _steps=[], ), dict( Id='j-BOOTSTRAPPING', Name='mr_grieving', Status=dict( State='BOOTSTRAPPING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:05:00Z'), ), ), Tags=[], _steps=[], ), dict( Id='j-RUNNING1STEP', Name='mr_grieving', Status=dict( State='RUNNING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), Tags=[dict(Key='my_key', Value='my_value')], _Steps=[ dict( Name='mr_denial: Step 1 of 5', Status=dict( State='RUNNING', Timeline=dict( StartDateTime=parse('2010-06-06T00:20:00Z'), ), ), ), ], ), dict( Id='j-RUNNING2STEPS', Name='mr_grieving', Status=dict( State='RUNNING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), Tags=[], _Steps=[ dict( Name='mr_denial: Step 1 of 5', Status=dict( State='COMPLETED', Timeline=dict( EndDateTime=parse('2010-06-06T00:25:00Z'), StartDateTime=parse('2010-06-06T00:20:00Z'), ), ), ), dict( Name='mr_anger: Step 2 of 5', Status=dict( State='RUNNING', Timeline=dict( StartDateTime=parse('2010-06-06T00:30:00Z'), ), ), ), ] ), dict( Id='j-RUNNINGANDPENDING', Name='mr_grieving', Status=dict( State='RUNNING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), Tags=[], _Steps=[ dict( Name='mr_denial: Step 1 of 5', Status=dict( State='COMPLETED', Timeline=dict( EndDateTime=parse('2010-06-06T00:25:00Z'), StartDateTime=parse('2010-06-06T00:20:00Z'), ), ), ), dict( Name='mr_anger: Step 2 of 5', Status=dict( State='RUNNING', Timeline=dict( StartDateTime=parse('2010-06-06T00:30:00Z'), ), ), ), dict( Name='mr_bargaining: Step 3 of 5', Status=dict( State='PENDING', ), ), ] ), dict( Id='j-PENDING1STEP', Name='mr_grieving', Status=dict( State='RUNNING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), Tags=[], _Steps=[ dict( Name='mr_bargaining: Step 3 of 5', Status=dict( State='PENDING', ), ), ] ), dict( Id='j-PENDING2STEPS', Name='mr_grieving', Status=dict( State='RUNNING', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), Tags=[], _Steps=[ dict( Name='mr_bargaining: Step 3 of 5', Status=dict( State='COMPLETED', Timeline=dict( EndDateTime=parse('2010-06-06T00:35:00Z'), StartDateTime=parse('2010-06-06T00:20:00Z'), ), ), ), dict( Name='mr_depression: Step 4 of 5', Status=dict( State='PENDING', ), ), ] ), dict( Id='j-COMPLETED', Name='mr_grieving', Status=dict( State='COMPLETED', Timeline=dict( CreationDateTime=parse('2010-06-06T00:00:00Z'), ReadyDateTime=parse('2010-06-06T00:15:00Z'), ), ), State='COMPLETED', Tags=[], _Steps=[ dict( Name='mr_acceptance: Step 5 of 5', Status=dict( State='COMPLETED', Timeline=dict( EndDateTime=parse('2010-06-06T00:40:00Z'), StartDateTime=parse('2010-06-06T00:20:00Z'), ), ), ), ] ), ] CLUSTERS_BY_ID = dict((cluster['Id'], cluster) for cluster in CLUSTERS) CLUSTER_SUMMARIES_BY_ID = dict( (cluster['Id'], dict( Id=cluster['Id'], Name=cluster['Name'], Status=cluster['Status'])) for cluster in CLUSTERS) class ReportLongJobsTestCase(MockBoto3TestCase): def setUp(self): super(ReportLongJobsTestCase, self).setUp() # redirect print statements to self.stdout self._real_stdout = sys.stdout self.stdout = StringIO() sys.stdout = self.stdout def tearDown(self): sys.stdout = self._real_stdout super(ReportLongJobsTestCase, self).tearDown() def test_with_no_clusters(self): main(['-q', '--no-conf']) # just make sure it doesn't crash def test_with_all_clusters(self): for cluster in CLUSTERS: self.add_mock_emr_cluster(cluster) emr_client = self.client('emr') emr_client.run_job_flow( Name='no name', Instances=dict( MasterInstanceType='m1.medium', InstanceCount=1, ), JobFlowRole='fake-instance-profile', ReleaseLabel='emr-4.0.0', ServiceRole='fake-service-role', ) main(['-q', '--no-conf']) lines = [line for line in StringIO(self.stdout.getvalue())] self.assertEqual(len(lines), len(CLUSTERS_BY_ID) - 1) self.assertNotIn('j-COMPLETED', self.stdout.getvalue()) def test_exclude(self): for cluster in CLUSTERS: self.add_mock_emr_cluster(cluster) main(['-q', '--no-conf', '-x', 'my_key,my_value']) lines = [line for line in StringIO(self.stdout.getvalue())] self.assertEqual(len(lines), len(CLUSTERS_BY_ID) - 2) self.assertNotIn('j-COMPLETED', self.stdout.getvalue()) self.assertNotIn('j-RUNNING1STEP', self.stdout.getvalue()) class FindLongRunningJobsTestCase(MockBoto3TestCase): maxDiff = None # show whole diff when tests fail def setUp(self): super(FindLongRunningJobsTestCase, self).setUp() for cluster in CLUSTERS: self.add_mock_emr_cluster(cluster) def _find_long_running_jobs(self, cluster_summaries, min_time, now): emr_client = self.client('emr') return _find_long_running_jobs( emr_client, cluster_summaries, min_time=min_time, now=now) def test_starting(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-STARTING']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-STARTING', 'name': u'mr_grieving', 'state': u'STARTING', 'time': timedelta(hours=3, minutes=55)}]) def test_bootstrapping(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-BOOTSTRAPPING']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-BOOTSTRAPPING', 'name': u'mr_grieving', 'state': u'BOOTSTRAPPING', 'time': timedelta(hours=3, minutes=55)}]) def test_running_one_step(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNING1STEP']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-RUNNING1STEP', 'name': u'mr_denial: Step 1 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=40)}]) # job hasn't been running for 1 day self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNING1STEP']], min_time=timedelta(days=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), []) def test_running_two_steps(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNING2STEPS']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-RUNNING2STEPS', 'name': u'mr_anger: Step 2 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=30)}]) # job hasn't been running for 1 day self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNING2STEPS']], min_time=timedelta(days=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), []) def test_running_and_pending(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNINGANDPENDING']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-RUNNINGANDPENDING', 'name': u'mr_anger: Step 2 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=30)}]) # job hasn't been running for 1 day self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-RUNNINGANDPENDING']], min_time=timedelta(days=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), []) def test_pending_one_step(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-PENDING1STEP']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-PENDING1STEP', 'name': u'mr_bargaining: Step 3 of 5', 'state': u'PENDING', 'time': timedelta(hours=3, minutes=45)}]) # job hasn't been running for 1 day self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-PENDING1STEP']], min_time=timedelta(days=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), []) def test_pending_two_steps(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-PENDING2STEPS']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-PENDING2STEPS', 'name': u'mr_depression: Step 4 of 5', 'state': u'PENDING', 'time': timedelta(hours=3, minutes=25)}]) # job hasn't been running for 1 day self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-PENDING2STEPS']], min_time=timedelta(days=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), []) def test_completed(self): self.assertEqual( list(self._find_long_running_jobs( [CLUSTER_SUMMARIES_BY_ID['j-COMPLETED']], min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [] ) def test_all_together(self): self.assertEqual( list(self._find_long_running_jobs( CLUSTERS, min_time=timedelta(hours=1), now=datetime(2010, 6, 6, 4, tzinfo=tzutc()) )), [{'cluster_id': u'j-STARTING', 'name': u'mr_grieving', 'state': u'STARTING', 'time': timedelta(hours=3, minutes=55)}, {'cluster_id': u'j-BOOTSTRAPPING', 'name': u'mr_grieving', 'state': u'BOOTSTRAPPING', 'time': timedelta(hours=3, minutes=55)}, {'cluster_id': u'j-RUNNING1STEP', 'name': u'mr_denial: Step 1 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=40)}, {'cluster_id': u'j-RUNNING2STEPS', 'name': u'mr_anger: Step 2 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=30)}, {'cluster_id': u'j-RUNNINGANDPENDING', 'name': u'mr_anger: Step 2 of 5', 'state': u'RUNNING', 'time': timedelta(hours=3, minutes=30)}, {'cluster_id': u'j-PENDING1STEP', 'name': u'mr_bargaining: Step 3 of 5', 'state': u'PENDING', 'time': timedelta(hours=3, minutes=45)}, {'cluster_id': u'j-PENDING2STEPS', 'name': u'mr_depression: Step 4 of 5', 'state': u'PENDING', 'time': timedelta(hours=3, minutes=25)}])

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null

0

5

cd408d849c3cc799fd5bdb6542af5d05f1721324

110

py

Python

api/tests/placeholder_test.py

fitzypop/todo-app-farm

bdc953cb8e0ebc430492e79c60fd051b6a1f0abe

[ "Unlicense" ]

null

api/tests/placeholder_test.py

fitzypop/todo-app-farm

bdc953cb8e0ebc430492e79c60fd051b6a1f0abe

[ "Unlicense" ]

15

2021-07-21T22:11:26.000Z

2021-07-22T18:39:52.000Z

api/tests/placeholder_test.py

langnostic/todo-app

bdc953cb8e0ebc430492e79c60fd051b6a1f0abe

[ "Unlicense" ]

null

from pytest_mock import MockerFixture def test_placeholder(mocker: MockerFixture) -> None: assert False

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110

6.538462

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5

cd4dd881c7729b66df879cf5ab78a436a6c90db9

62

py

Python

pysql/exceptions/core/constraints.py

jha-hitesh/pysql

ad7c7e4e7e65a97e4dc15cda395678e0c09b02ab

[ "MIT" ]

null

pysql/exceptions/core/constraints.py

jha-hitesh/pysql

ad7c7e4e7e65a97e4dc15cda395678e0c09b02ab

[ "MIT" ]

null

pysql/exceptions/core/constraints.py

jha-hitesh/pysql

ad7c7e4e7e65a97e4dc15cda395678e0c09b02ab

[ "MIT" ]

null

class InvalidConstraintPropertyException(Exception): pass

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null

0

1

0

5

cd79531e6d378f48cc6fe64697f8bd6deeefa9f5

11,635

py

Python

lib/RESKESearchDemo/RESKESearchDemoClient.py

kbaseapps/RESKESearchDemo

9140c6726e3ae26ae7ba20b3fdcfed96049393d5

[ "MIT" ]

null

lib/RESKESearchDemo/RESKESearchDemoClient.py

kbaseapps/RESKESearchDemo

9140c6726e3ae26ae7ba20b3fdcfed96049393d5

[ "MIT" ]

null

lib/RESKESearchDemo/RESKESearchDemoClient.py

kbaseapps/RESKESearchDemo

9140c6726e3ae26ae7ba20b3fdcfed96049393d5

[ "MIT" ]

null

# -*- coding: utf-8 -*- ############################################################ # # Autogenerated by the KBase type compiler - # any changes made here will be overwritten # ############################################################ from __future__ import print_function # the following is a hack to get the baseclient to import whether we're in a # package or not. This makes pep8 unhappy hence the annotations. try: # baseclient and this client are in a package from .baseclient import BaseClient as _BaseClient # @UnusedImport except: # no they aren't from baseclient import BaseClient as _BaseClient # @Reimport class RESKESearchDemo(object): def __init__( self, url=None, timeout=30 * 60, user_id=None, password=None, token=None, ignore_authrc=False, trust_all_ssl_certificates=False, auth_svc='https://kbase.us/services/authorization/Sessions/Login'): if url is None: raise ValueError('A url is required') self._service_ver = None self._client = _BaseClient( url, timeout=timeout, user_id=user_id, password=password, token=token, ignore_authrc=ignore_authrc, trust_all_ssl_certificates=trust_all_ssl_certificates, auth_svc=auth_svc) def add_workspace_to_index(self, params, context=None): """ This operation means that given workspace will be shared with system indexing user with write access. User calling this function should be owner of this workspace. :param params: instance of type "AddWorkspaceToIndexInput" -> structure: parameter "ws_name" of String, parameter "ws_id" of Long """ return self._client.call_method( 'RESKESearchDemo.add_workspace_to_index', [params], self._service_ver, context) def search_types(self, params, context=None): """ :param params: instance of type "SearchTypesInput" -> structure: parameter "match_filter" of type "MatchFilter" -> structure: parameter "full_text_in_all" of String, parameter "access_group_id" of Long, parameter "object_name" of String, parameter "parent_guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "timestamp" of type "MatchValue" -> structure: parameter "value" of String, parameter "int_value" of Long, parameter "double_value" of Double, parameter "bool_value" of type "boolean" (A boolean. 0 = false, other = true.), parameter "min_int" of Long, parameter "max_int" of Long, parameter "min_date" of Long, parameter "max_date" of Long, parameter "min_double" of Double, parameter "max_double" of Double, parameter "lookupInKeys" of mapping from String to type "MatchValue" -> structure: parameter "value" of String, parameter "int_value" of Long, parameter "double_value" of Double, parameter "bool_value" of type "boolean" (A boolean. 0 = false, other = true.), parameter "min_int" of Long, parameter "max_int" of Long, parameter "min_date" of Long, parameter "max_date" of Long, parameter "min_double" of Double, parameter "max_double" of Double, parameter "access_filter" of type "AccessFilter" -> structure: parameter "with_private" of type "boolean" (A boolean. 0 = false, other = true.), parameter "with_public" of type "boolean" (A boolean. 0 = false, other = true.), parameter "with_all_history" of type "boolean" (A boolean. 0 = false, other = true.) :returns: instance of type "SearchTypesOutput" -> structure: parameter "type_to_count" of mapping from String to Long, parameter "search_time" of Long """ return self._client.call_method( 'RESKESearchDemo.search_types', [params], self._service_ver, context) def search_objects(self, params, context=None): """ :param params: instance of type "SearchObjectsInput" -> structure: parameter "object_type" of String, parameter "match_filter" of type "MatchFilter" -> structure: parameter "full_text_in_all" of String, parameter "access_group_id" of Long, parameter "object_name" of String, parameter "parent_guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "timestamp" of type "MatchValue" -> structure: parameter "value" of String, parameter "int_value" of Long, parameter "double_value" of Double, parameter "bool_value" of type "boolean" (A boolean. 0 = false, other = true.), parameter "min_int" of Long, parameter "max_int" of Long, parameter "min_date" of Long, parameter "max_date" of Long, parameter "min_double" of Double, parameter "max_double" of Double, parameter "lookupInKeys" of mapping from String to type "MatchValue" -> structure: parameter "value" of String, parameter "int_value" of Long, parameter "double_value" of Double, parameter "bool_value" of type "boolean" (A boolean. 0 = false, other = true.), parameter "min_int" of Long, parameter "max_int" of Long, parameter "min_date" of Long, parameter "max_date" of Long, parameter "min_double" of Double, parameter "max_double" of Double, parameter "sorting_rules" of list of type "SortingRule" -> structure: parameter "is_timestamp" of type "boolean" (A boolean. 0 = false, other = true.), parameter "is_object_name" of type "boolean" (A boolean. 0 = false, other = true.), parameter "key_name" of String, parameter "descending" of type "boolean" (A boolean. 0 = false, other = true.), parameter "access_filter" of type "AccessFilter" -> structure: parameter "with_private" of type "boolean" (A boolean. 0 = false, other = true.), parameter "with_public" of type "boolean" (A boolean. 0 = false, other = true.), parameter "with_all_history" of type "boolean" (A boolean. 0 = false, other = true.), parameter "pagination" of type "Pagination" -> structure: parameter "start" of Long, parameter "count" of Long, parameter "post_processing" of type "PostProcessing" (ids_only - shortcut to mark all three skips as true.) -> structure: parameter "ids_only" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_info" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_keys" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_data" of type "boolean" (A boolean. 0 = false, other = true.), parameter "data_includes" of list of String :returns: instance of type "SearchObjectsOutput" -> structure: parameter "pagination" of type "Pagination" -> structure: parameter "start" of Long, parameter "count" of Long, parameter "sorting_rules" of list of type "SortingRule" -> structure: parameter "is_timestamp" of type "boolean" (A boolean. 0 = false, other = true.), parameter "is_object_name" of type "boolean" (A boolean. 0 = false, other = true.), parameter "key_name" of String, parameter "descending" of type "boolean" (A boolean. 0 = false, other = true.), parameter "objects" of list of type "ObjectData" -> structure: parameter "guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "parent_guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "object_name" of String, parameter "timestamp" of Long, parameter "parent_data" of unspecified object, parameter "data" of unspecified object, parameter "key_props" of mapping from String to String, parameter "total" of Long, parameter "search_time" of Long """ return self._client.call_method( 'RESKESearchDemo.search_objects', [params], self._service_ver, context) def get_objects(self, params, context=None): """ :param params: instance of type "GetObjectsInput" -> structure: parameter "guids" of list of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "post_processing" of type "PostProcessing" (ids_only - shortcut to mark all three skips as true.) -> structure: parameter "ids_only" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_info" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_keys" of type "boolean" (A boolean. 0 = false, other = true.), parameter "skip_data" of type "boolean" (A boolean. 0 = false, other = true.), parameter "data_includes" of list of String :returns: instance of type "GetObjectsOutput" -> structure: parameter "objects" of list of type "ObjectData" -> structure: parameter "guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "parent_guid" of type "GUID" (Global user identificator. It has structure like this: <data-source-code>:<full-reference>[:<sub-type>/<sub-id>]), parameter "object_name" of String, parameter "timestamp" of Long, parameter "parent_data" of unspecified object, parameter "data" of unspecified object, parameter "key_props" of mapping from String to String, parameter "search_time" of Long """ return self._client.call_method( 'RESKESearchDemo.get_objects', [params], self._service_ver, context) def list_types(self, params, context=None): """ :param params: instance of type "ListTypesInput" (type_name - optional parameter; if not specified all types are described.) -> structure: parameter "type_name" of String :returns: instance of type "ListTypesOutput" -> structure: parameter "types" of mapping from String to type "TypeDescriptor" (TODO: add more details like parent type, relations, primary key, ...) -> structure: parameter "type_name" of String, parameter "type_ui_title" of String, parameter "keys" of list of type "KeyDescription" -> structure: parameter "key_name" of String, parameter "key_ui_title" of String, parameter "key_value_type" of String """ return self._client.call_method( 'RESKESearchDemo.list_types', [params], self._service_ver, context) def status(self, context=None): return self._client.call_method('RESKESearchDemo.status', [], self._service_ver, context)

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1

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null

0

5

26db29318fc4052d5a5a0f51251223d21b5af67a

179

py

Python

stests/workers/interactive_1.py

goral09/stests

4de26485535cadf1b708188a7133a976536ccba3

[ "Apache-2.0" ]

4

2020-03-10T15:28:17.000Z

2021-10-02T11:41:17.000Z

stests/workers/interactive_1.py

goral09/stests

4de26485535cadf1b708188a7133a976536ccba3

[ "Apache-2.0" ]

1

2020-03-25T11:31:44.000Z

stests/workers/interactive_1.py

goral09/stests

4de26485535cadf1b708188a7133a976536ccba3

[ "Apache-2.0" ]

9

2020-02-25T18:43:42.000Z

2021-08-10T17:08:42.000Z

from stests.workers.utils import setup_interactive from stests.workers.utils import start_monitoring # Setup. setup_interactive() # Start chain monitoring. start_monitoring()

16.272727

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null

0

1

0

null

0

1

0

1

0

5

26fedf21e4a110487c9949afff020c30cbd1e394

40

py

Python

mpf/benchmarks/__init__.py

Scottacus64/mpf

fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a

[ "MIT" ]

163

2015-01-25T02:19:50.000Z

2022-03-26T12:00:28.000Z

mpf/benchmarks/__init__.py

Scottacus64/mpf

fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a

[ "MIT" ]

1,086

2015-03-23T19:53:17.000Z

2022-03-24T20:46:11.000Z

mpf/benchmarks/__init__.py

Scottacus64/mpf

fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a

[ "MIT" ]

148

2015-01-28T02:31:39.000Z

2022-03-22T13:54:01.000Z

"""Benchmarks for the MPF framework."""

20

39

0.7

5

40

5.6

1

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0.125

40

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0.8

0.825

0

null

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true

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1

0

1

0

null

0

1

0

5

f854b22113d78398c95810519c4f8b88448bf0b3

146

py

Python

digitemp/device/__init__.py

tharrrk/pydigitemp

b88c1069b1a7d0b74d09fe2af9d8687aaca01ff9

[ "CNRI-Python" ]

8

2018-09-06T04:48:15.000Z

2020-10-07T03:28:57.000Z

digitemp/device/__init__.py

tharrrk/pydigitemp

b88c1069b1a7d0b74d09fe2af9d8687aaca01ff9

[ "CNRI-Python" ]

5

2018-07-26T06:36:08.000Z

2021-04-13T06:29:00.000Z

digitemp/device/__init__.py

tharrrk/pydigitemp

b88c1069b1a7d0b74d09fe2af9d8687aaca01ff9

[ "CNRI-Python" ]

8

2018-06-28T09:42:26.000Z

2021-04-10T18:00:24.000Z

from .generic import AddressableDevice from .factories import TemperatureSensor from .thermometer import DS18S20, DS1820, DS1920, DS18B20, DS1822

36.5

65

0.842466

16

146

7.6875

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0

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146

3

66

48.666667

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true

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0

null

0

1

0

1

0

1

0

5

f862f71f017bc9e19c013ba8e23d17e1108c8fb4

162

py

Python

lost_years/__init__.py

gojiplus/lost_years

b7af037827bbb478b8defb7db007bfc950d9ebfe

[ "MIT" ]

5

2020-04-02T05:43:43.000Z

2020-04-02T18:26:13.000Z

lost_years/__init__.py

gojiplus/lost_years

b7af037827bbb478b8defb7db007bfc950d9ebfe

[ "MIT" ]

null

lost_years/__init__.py

gojiplus/lost_years

b7af037827bbb478b8defb7db007bfc950d9ebfe

[ "MIT" ]

null

from .hld import lost_years_hld from .ssa import lost_years_ssa from .who import lost_years_who __all__ = ['lost_years_ssa', 'lost_years_hld', 'lost_years_who']

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0

null

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1

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5

f87dc45d179d82778d6187ae1ffe9a18371296e8

75

py

Python

lib/data/__init__.py

Hirosaji/PIFu

4b3e55ce4e613640d567a5629fe2163248427773

[ "MIT" ]

1,359

2020-02-19T10:06:31.000Z

2022-03-30T19:40:58.000Z

lib/data/__init__.py

GabbyYam/PIFu

f0a9c99ef887e1eb360e865a87aa5f166231980e

[ "MIT" ]

117

2020-02-23T16:37:38.000Z

2022-03-09T00:53:34.000Z

lib/data/__init__.py

GabbyYam/PIFu

f0a9c99ef887e1eb360e865a87aa5f166231980e

[ "MIT" ]

308

2020-02-20T05:23:31.000Z

2022-03-30T12:22:11.000Z

from .EvalDataset import EvalDataset from .TrainDataset import TrainDataset

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5

f8bdd8a3ce206067b3f74f27f0a97c78e7d5a9f7

51

py

Python

src/foremast_ui/routes/__init__.py

e4r7hbug/foremast_ui

ae9f864f90fbae2341a8c1e75e1e763e9b389b6b

[ "Apache-2.0" ]

1

2018-07-02T19:48:43.000Z

src/foremast_ui/routes/__init__.py

e4r7hbug/foremast_ui

ae9f864f90fbae2341a8c1e75e1e763e9b389b6b

[ "Apache-2.0" ]

null

src/foremast_ui/routes/__init__.py

e4r7hbug/foremast_ui

ae9f864f90fbae2341a8c1e75e1e763e9b389b6b

[ "Apache-2.0" ]

null

from ..application import APP from . import index

12.75

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null

0

1

0

1

0

1

0

5

e4462e21b79804b9d024323f6be7841b7111d05d

38

py

Python

QCAT_Basic/QCAT_Basic/__init__.py

gmg2719/python_qcat_apis

6e1f29bfa768e53dc310598401d3446c4bd7cea0

[ "MIT" ]

1

2022-02-27T08:30:29.000Z

QCAT_Basic/QCAT_Basic/__init__.py

gmg2719/python_qcat_apis

6e1f29bfa768e53dc310598401d3446c4bd7cea0

[ "MIT" ]

null

QCAT_Basic/QCAT_Basic/__init__.py

gmg2719/python_qcat_apis

6e1f29bfa768e53dc310598401d3446c4bd7cea0

[ "MIT" ]

1

2022-02-27T08:30:15.000Z

import QCAT_Basic name = "QCAT_Basic"

19

0.789474

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38

4.666667

0.666667

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null

0

1

0

5

e48c0fc6b8cd635c2b6212543ce2863463d08a78

81

py

Python

python/decorator/01_decorator.py

rrbb014/rrbb-playground

5487078b882c4f0df3bacc7f55c47216bc201c04

[ "MIT" ]

null

python/decorator/01_decorator.py

rrbb014/rrbb-playground

5487078b882c4f0df3bacc7f55c47216bc201c04

[ "MIT" ]

null

python/decorator/01_decorator.py

rrbb014/rrbb-playground

5487078b882c4f0df3bacc7f55c47216bc201c04

[ "MIT" ]

null

from common import identity @identity def foo(): return 'bar' print(foo())

10.125

27

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11

81

5

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0.197531

81

7

28

11.571429

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true

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null

0

1

0

null

0

1

0

1

0

5

900bdab732ce4efbedaeff0b96d08ccc513172c7

382

py

Python

app/__init__.py

sabiharustam/TBD5

2dafad06e866dabc7f16c51d8961e905991a1287

[ "MIT" ]

3

2020-07-01T17:42:18.000Z

2021-03-04T19:59:45.000Z

app/__init__.py

sabiharustam/TBD5

2dafad06e866dabc7f16c51d8961e905991a1287

[ "MIT" ]

4

2019-03-18T03:20:04.000Z

2019-03-22T16:28:13.000Z

app/__init__.py

sabiharustam/TBD5

2dafad06e866dabc7f16c51d8961e905991a1287

[ "MIT" ]

5

2019-03-22T15:38:24.000Z

2019-11-21T01:57:40.000Z

from __future__ import absolute_import, division, print_function #import sys #sys.path.append("../voltcycle/functions_and_tests") __all__ = ["baseline","calculations","file_read", "peak_detection_fxn"] from voltcycle/submodule import baseline from voltcycle/submodule import calculations from voltcycle/submodule import file_read from voltcycle/submodule import peak_detection_fxn

38.2

71

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382

6.291667

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0.291391

0.370861

0

0.078534

382

9

72

42.444444

0.857955

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null

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null

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null

0

1

0

1

0

5

90345e4af3afc86c49b327d9582ccec144618f67

124

py

Python

pip_api/exceptions.py

sugatoray/pip-api

dec3a5e30c911b794763483ed985960a6732a40e

[ "Apache-2.0" ]

81

2018-03-21T02:09:38.000Z

2022-02-11T09:30:13.000Z

pip_api/exceptions.py

sugatoray/pip-api

dec3a5e30c911b794763483ed985960a6732a40e

[ "Apache-2.0" ]

67

2018-09-27T16:03:02.000Z

2022-03-11T20:05:37.000Z

pip_api/exceptions.py

sugatoray/pip-api

dec3a5e30c911b794763483ed985960a6732a40e

[ "Apache-2.0" ]

15

2018-03-31T01:15:18.000Z

2022-03-10T08:13:23.000Z

class Incompatible(Exception): pass class InvalidArguments(Exception): pass class PipError(Exception): pass

11.272727

34

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124

7.5

0.5

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0.4

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124

10

35

12.4

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0

0.5

0

1

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true

0.5

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0

1

0

null

1

0

null

0

1

0

5

5f72621bd4393fe8fdd8697e053e31d6af7d0804

924

py

Python

build/warehouse/cmake/warehouse-genmsg-context.py

frozaidi/RobotSystems

e2c2f9e1623c71d6f5889e84bd9b4ff1d2043a1e

[ "BSD-3-Clause" ]

null

build/warehouse/cmake/warehouse-genmsg-context.py

frozaidi/RobotSystems

e2c2f9e1623c71d6f5889e84bd9b4ff1d2043a1e

[ "BSD-3-Clause" ]

null

build/warehouse/cmake/warehouse-genmsg-context.py

frozaidi/RobotSystems

e2c2f9e1623c71d6f5889e84bd9b4ff1d2043a1e

[ "BSD-3-Clause" ]

null

# generated from genmsg/cmake/pkg-genmsg.context.in messages_str = "/home/ubuntu/armpi_fpv/src/warehouse/msg/Rotate.msg;/home/ubuntu/armpi_fpv/src/warehouse/msg/Pose.msg;/home/ubuntu/armpi_fpv/src/warehouse/msg/Grasp.msg" services_str = "/home/ubuntu/armpi_fpv/src/warehouse/srv/SetInTarget.srv;/home/ubuntu/armpi_fpv/src/warehouse/srv/SetOutTarget.srv;/home/ubuntu/armpi_fpv/src/warehouse/srv/SetExchangeTarget.srv" pkg_name = "warehouse" dependencies_str = "std_msgs;std_srvs;geometry_msgs" langs = "gencpp;geneus;genlisp;gennodejs;genpy" dep_include_paths_str = "warehouse;/home/ubuntu/armpi_fpv/src/warehouse/msg;std_msgs;/opt/ros/melodic/share/std_msgs/cmake/../msg;geometry_msgs;/opt/ros/melodic/share/geometry_msgs/cmake/../msg" PYTHON_EXECUTABLE = "/usr/bin/python2" package_has_static_sources = '' == 'TRUE' genmsg_check_deps_script = "/opt/ros/melodic/share/genmsg/cmake/../../../lib/genmsg/genmsg_check_deps.py"

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924

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false

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null

0

1

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1

null

0

5

5fb977850034eb416797a116b12f0ff7838a7e36

9,960

py

Python

tests/activity/test_activity_copy_glencoe_still_images.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

tests/activity/test_activity_copy_glencoe_still_images.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

tests/activity/test_activity_copy_glencoe_still_images.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

import unittest import settings_mock from activity.activity_CopyGlencoeStillImages import activity_CopyGlencoeStillImages from mock import patch, MagicMock from classes_mock import FakeSession from classes_mock import FakeStorageContext from classes_mock import FakeLogger import test_activity_data as test_activity_data import provider.glencoe_check as glencoe_check class TestCopyGlencoeStillImages(unittest.TestCase): def setUp(self): self.copyglencoestillimages = activity_CopyGlencoeStillImages(settings_mock, None, None, None, None) self.copyglencoestillimages.logger = FakeLogger() @patch.object(activity_CopyGlencoeStillImages, 'list_files_from_cdn') @patch.object(activity_CopyGlencoeStillImages, 'store_jpgs') @patch('provider.glencoe_check.metadata') @patch('activity.activity_CopyGlencoeStillImages.StorageContext') @patch('activity.activity_CopyGlencoeStillImages.Session') @patch.object(activity_CopyGlencoeStillImages, 'emit_monitor_event') def test_do_activity(self, fake_emit, fake_session, fake_storage_context, fake_glencoe_metadata, fake_store_jpgs, fake_list_files_from_cdn): # Given activity_data = test_activity_data.data_example_before_publish fake_storage_context.return_value = FakeStorageContext() fake_session.return_value = FakeSession(test_activity_data.session_example) fake_glencoe_metadata.return_value = test_activity_data.glencoe_metadata fake_store_jpgs.return_value = test_activity_data.jpgs_added_in_cdn fake_list_files_from_cdn.return_value = test_activity_data.cdn_folder_files + \ test_activity_data.jpgs_added_in_cdn # When result = self.copyglencoestillimages.do_activity(activity_data) # Then self.assertEqual(self.copyglencoestillimages.ACTIVITY_SUCCESS, result) @patch.object(activity_CopyGlencoeStillImages, 'list_files_from_cdn') @patch.object(activity_CopyGlencoeStillImages, 'store_jpgs') @patch('provider.glencoe_check.metadata') @patch('activity.activity_CopyGlencoeStillImages.StorageContext') @patch('activity.activity_CopyGlencoeStillImages.Session') @patch.object(activity_CopyGlencoeStillImages, 'emit_monitor_event') def test_do_activity_success_no_videos_for_article(self, fake_emit, fake_session, fake_storage_context, fake_glencoe_metadata, fake_store_jpgs, fake_list_files_from_cdn): # Given activity_data = test_activity_data.data_example_before_publish fake_storage_context.return_value = FakeStorageContext() fake_session.return_value = FakeSession(test_activity_data.session_example) fake_glencoe_metadata.side_effect = AssertionError("article has no videos - url requested: ...") # When result = self.copyglencoestillimages.do_activity(activity_data) # Then self.assertEqual(self.copyglencoestillimages.ACTIVITY_SUCCESS, result) @patch('activity.activity_CopyGlencoeStillImages.Session') @patch.object(activity_CopyGlencoeStillImages, 'emit_monitor_event') def test_do_activity_success_POA(self, fake_emit, fake_session): # Given activity_data = test_activity_data.data_example_before_publish session_POA = test_activity_data.session_example.copy() session_POA['file_name'] = 'elife-00353-poa-v1.zip' fake_session.return_value = FakeSession(session_POA) # When result = self.copyglencoestillimages.do_activity(activity_data) # Then self.assertEqual(self.copyglencoestillimages.ACTIVITY_SUCCESS, result) @patch.object(activity_CopyGlencoeStillImages, 'store_jpgs') @patch('provider.glencoe_check.metadata') @patch('activity.activity_CopyGlencoeStillImages.StorageContext') @patch('activity.activity_CopyGlencoeStillImages.Session') @patch.object(activity_CopyGlencoeStillImages, 'emit_monitor_event') def test_do_activity_error(self, fake_emit, fake_session, fake_storage_context, fake_glencoe_metadata, fake_store_jpgs): # Given activity_data = test_activity_data.data_example_before_publish fake_storage_context.return_value = FakeStorageContext() fake_session.return_value = FakeSession(test_activity_data.session_example) fake_glencoe_metadata.return_value = test_activity_data.glencoe_metadata fake_store_jpgs.side_effect = Exception("Something went wrong!") # When result = self.copyglencoestillimages.do_activity(activity_data) # Then self.assertEqual(result, self.copyglencoestillimages.ACTIVITY_PERMANENT_FAILURE) fake_emit.assert_called_with(settings_mock, activity_data["article_id"], activity_data["version"], activity_data["run"], self.copyglencoestillimages.pretty_name, "error", "An error occurred when checking/copying Glencoe still images. Article " + activity_data["article_id"] + "; message: Something went wrong!") @patch.object(activity_CopyGlencoeStillImages, 'list_files_from_cdn') @patch.object(activity_CopyGlencoeStillImages, 'store_jpgs') @patch('provider.glencoe_check.metadata') @patch('activity.activity_CopyGlencoeStillImages.StorageContext') @patch('activity.activity_CopyGlencoeStillImages.Session') @patch.object(activity_CopyGlencoeStillImages, 'emit_monitor_event') def test_do_activity_bad_files(self, fake_emit, fake_session, fake_storage_context, fake_glencoe_metadata, fake_store_jpgs, fake_list_files_from_cdn): # Given activity_data = test_activity_data.data_example_before_publish fake_storage_context.return_value = FakeStorageContext() fake_session.return_value = FakeSession(test_activity_data.session_example) fake_glencoe_metadata.return_value = test_activity_data.glencoe_metadata self.copyglencoestillimages.logger = MagicMock() fake_list_files_from_cdn.return_value = test_activity_data.cdn_folder_files fake_store_jpgs.return_value = test_activity_data.jpgs_added_in_cdn # When result = self.copyglencoestillimages.do_activity(activity_data) # Then self.assertEqual(result, self.copyglencoestillimages.ACTIVITY_PERMANENT_FAILURE) fake_emit.assert_called_with(settings_mock, activity_data["article_id"], activity_data["version"], activity_data["run"], self.copyglencoestillimages.pretty_name, "error", "Not all still images .jpg have a video with the same name " + "missing videos file names: ['elife-12620-media1', 'elife-12620-media2']" + " Please check them against CDN files. Article: 00353") def test_validate_jpgs_against_cdn(self): # Given cdn_all_files = test_activity_data.cdn_folder_files_article_07398 cdn_still_jpgs = test_activity_data.cdn_folder_jpgs_article_07398 # When result_bad_files = self.copyglencoestillimages.validate_jpgs_against_cdn(cdn_all_files, cdn_still_jpgs, "07398") # Then self.assertEqual(0, len(result_bad_files)) def test_validate_pgs_against_cdn_long_article_ids(self): # Given cdn_all_files = ["elife-1234500230-media1-v1.wmv", "elife-1234500230-media2-v1.mp4", "elife-1234500230-media1-v1.jpg", "elife-1234500230-media2-v1.jpg", "elife-1234500230-fig1-figsupp1-v2-1084w.jpg"] cdn_still_jpgs = ["elife-1234500230-media1-v1.jpg", "elife-1234500230-media2-v1.jpg"] # When result_bad_files = self.copyglencoestillimages.validate_jpgs_against_cdn(cdn_all_files, cdn_still_jpgs, "00230") # Then self.assertEqual(0, len(result_bad_files)) def test_validate_pgs_against_cdn_long_article_ids_one_missing(self): # Given cdn_all_files = ["elife-1234500230-media1-v1.wmv", "elife-1234500230-media2-v1.mp4", "elife-1234500230-media1-v1.jpg", "elife-1234500230-media2-v1.jpg", "elife-1234500230-fig1-figsupp1-v2-1084w.jpg"] cdn_still_jpgs = ["elife-1234500230-media1-v1.jpg", "elife-1234500230-media2-v1.jpg", "elife-1234500230-media3-v1.jpg"] # When result_bad_files = self.copyglencoestillimages.validate_jpgs_against_cdn(cdn_all_files, cdn_still_jpgs, "00230") # Then self.assertEqual(1, len(result_bad_files)) @patch('requests.get') @patch('activity.activity_CopyGlencoeStillImages.StorageContext') def test_store_file_according_to_the_current_article_id_whatever_is_the_filename_on_glencoe(self, fake_storage_context, fake_requests_get): fake_storage_context.return_value = FakeStorageContext() fake_requests_get.return_value = MagicMock() fake_requests_get.return_value.status_code = 200 cdn_jpg_filename = self.copyglencoestillimages.store_file("http://glencoe.com/some-dir/elife-00666-media1.jpg", "12345600666") self.assertEqual(cdn_jpg_filename, "elife-12345600666-media1.jpg") if __name__ == '__main__': unittest.main()

52.698413

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0.691767

1,048

9,960

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0.072312

0.054388

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0.745365

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9,960

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52.978723

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0.62406

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0

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0

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0

0.150376

0

null

0

1

0

null

0

5

399481c043816e9e8c26ed396fa0b050e2f14f3b

106

py

Python

enthought/block_canvas/canvas/font_metrics_cache.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/block_canvas/canvas/font_metrics_cache.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/block_canvas/canvas/font_metrics_cache.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from blockcanvas.canvas.font_metrics_cache import *

26.5

51

0.858491

14

106

6

0.785714

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0.103774

106

3

52

35.333333

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0

1

0

true

0

1

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1

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0

null

0

1

0

null

0

1

0

1

0

1

0

5

399976837577da837075de176597b4c22bc9ff96

125

py

Python

token_handle/admin.py

swapancell/token_app

4702ae12675ef5b4e466c8044795a3e70a367ee0

[ "Apache-2.0" ]

null

token_handle/admin.py

swapancell/token_app

4702ae12675ef5b4e466c8044795a3e70a367ee0

[ "Apache-2.0" ]

null

token_handle/admin.py

swapancell/token_app

4702ae12675ef5b4e466c8044795a3e70a367ee0

[ "Apache-2.0" ]

null

from django.contrib import admin from token_handle.models import * # Register your models here. admin.site.register(tokens)

20.833333

33

0.808

18

125

5.555556

0.722222

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0.12

125

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true

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1

0

null

0

1

0

1

0

1

0

5

39d2a20d12f770051926b9bdec467ba99791d043

18

py

Python

app/views.py

matthewacha/LectureApp

8dbac3d747087cc90db8c16a08eb17c5587005eb

[ "OLDAP-2.2.1" ]

null

app/views.py

matthewacha/LectureApp

8dbac3d747087cc90db8c16a08eb17c5587005eb

[ "OLDAP-2.2.1" ]

null

app/views.py

matthewacha/LectureApp

8dbac3d747087cc90db8c16a08eb17c5587005eb

[ "OLDAP-2.2.1" ]

null

#views for the app

18

0.777778

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3.5

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1

18

0.933333

0.944444

0

null

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null

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true

0

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0

null

0

1

0

1

0

null

0

1

0

5

841dd9f1ac44118da8bd189aaad82c7bd570b070

30

py

Python

temp.py

shatheesh171/stacks_and_queues_problems

2ba487539b327dc7795873eb879e29983b48963d

[ "MIT" ]

null

temp.py

shatheesh171/stacks_and_queues_problems

2ba487539b327dc7795873eb879e29983b48963d

[ "MIT" ]

null

temp.py

shatheesh171/stacks_and_queues_problems

2ba487539b327dc7795873eb879e29983b48963d

[ "MIT" ]

null

if (None<5): print("goya")

15

17

0.533333

5

30

3.2

1

0

0.041667

0.2

30

2

17

15

0.625

0

0.129032

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

845c17508493945a422e1f3b667d5f4449af63c6

4,989

py

Python

2020/12/12.py

Sveder/advent_of_code

57a36bc3066fcba6330d4d579de053e8b7e78c74

[ "CC0-1.0" ]

null

2020/12/12.py

Sveder/advent_of_code

57a36bc3066fcba6330d4d579de053e8b7e78c74

[ "CC0-1.0" ]

null

2020/12/12.py

Sveder/advent_of_code

57a36bc3066fcba6330d4d579de053e8b7e78c74

[ "CC0-1.0" ]

null

input = """R90 W5 R90 F3 E4 L90 N5 F100 W1 R180 F11 S1 E4 F75 N4 W1 F66 N3 L90 F2 R90 E1 S3 F84 L90 N1 R90 F49 S1 R90 E2 R90 N1 L90 S1 R90 F100 E4 R90 N3 W1 L180 E4 F30 N5 F40 R270 E4 L90 F94 L90 E3 F61 S4 F78 S2 R180 W2 F14 L90 F100 L90 F15 E4 L90 F77 S2 F58 R90 E2 F41 N4 R180 S2 F91 S3 F52 W4 S3 F73 S4 F50 W3 L90 F70 N5 N2 L90 F100 W1 R90 N4 E1 R90 F63 L90 W4 F30 N3 L90 F76 R90 W1 N4 R180 F20 S4 F8 R90 F47 W2 L180 W2 F75 F56 L90 F35 R90 S2 L90 F1 W3 F44 L90 S2 F93 E1 N5 F83 F28 S1 R90 N4 W2 E4 F48 N3 F65 E1 R180 W4 S1 W5 S3 F18 E3 S3 R90 W5 R180 W2 R90 F71 W2 R90 S4 L180 N4 W3 S5 F12 L90 F83 E5 W2 N3 E1 S4 F95 R90 F77 L270 N2 W4 F45 W5 R90 W5 N1 R90 E2 F5 L270 E5 F79 L90 F57 R90 E5 F46 N5 F30 E3 N4 W2 F100 E3 S5 W5 F34 E4 S3 F30 S4 L90 S2 F51 W5 F41 E5 N1 R90 S4 F97 L180 S1 F38 N3 E3 R90 S5 F59 L270 W2 F71 L90 N3 F36 L90 S1 F24 S1 R90 F56 S3 F53 E1 E3 F78 R180 N2 E4 R90 E1 S2 W3 S3 F64 W1 R180 F73 F92 S5 R180 W4 N5 E2 R270 E5 N2 E3 S3 R90 S4 W2 N4 E5 L180 F6 R90 W2 N1 L90 F16 N4 R90 F65 R90 N3 L90 W5 R90 N1 F41 W2 S1 W3 F69 W5 N4 F71 W4 R90 F94 W1 F30 W2 N2 F65 R90 N4 R90 E1 L180 E2 L180 S4 R90 E4 R90 E5 S3 F73 N4 W4 S2 E4 L90 N4 F100 S4 L90 E3 N3 R90 N1 W4 S3 S5 F46 N5 R180 F75 S5 L90 F42 L90 L90 W2 F67 W2 W3 E3 L90 W3 F72 N3 W2 L90 N4 F12 W2 F20 W2 F5 N5 W5 L180 W2 F45 W4 L90 E3 L90 S2 F69 R90 W3 R180 N5 E3 F8 S5 R90 S5 F64 R90 W4 F46 R90 W3 N1 F6 N4 R90 F38 F5 E5 N4 R90 W1 F66 R270 W3 R90 W5 R90 W2 S4 W2 R270 E5 R90 S5 R90 S1 L90 N2 W5 S3 W3 L90 E2 L90 F51 R90 L90 N3 W4 N1 W4 W4 L90 F7 S4 E1 S1 R90 F3 E4 F73 W4 L90 W4 F4 R90 E5 S2 E3 L90 F77 W3 L90 S5 W4 S3 E4 R270 S5 F99 E4 E5 L90 N2 F58 R90 E2 N1 W4 F85 W4 N2 E3 L90 E4 R90 N4 E3 F64 W5 S5 F89 F29 L90 F80 N1 L90 W4 S5 F76 E5 F83 E2 F60 W3 N4 W1 R90 F25 W5 S3 W5 L180 E4 F79 S1 W5 F42 W3 F6 E5 L90 S3 L90 N2 L270 F80 W3 L180 E4 N2 F87 W5 W5 R90 L90 W3 R180 F69 L90 F9 E4 F37 L90 S3 F50 L90 W1 F70 N5 L90 W4 N2 W5 F19 N4 W2 N1 W4 R90 F56 W1 L90 E4 R90 S5 F2 L90 N2 F77 E1 L270 F31 W1 N4 L90 W2 L180 W1 S2 E3 F93 N5 E4 F39 S4 W3 L90 N1 R90 S2 F11 F95 E3 S4 W4 R90 F56 N3 F16 L270 E2 S3 F56 W4 N1 E1 N5 R90 F86 N5 R90 S1 S4 L90 E2 N1 F28 E5 R180 F93 L90 F84 E5 R180 E4 F25 L90 E5 N2 R270 F13 N4 F91 E3 F7 S1 W5 W1 F67 S4 W5 R90 L180 E4 S2 R90 S2 F45 N4 E3 N4 F53 N3 E3 S4 R90 S1 F52 N2 S5 E2 N3 F1 L180 N3 E2 F31 S2 S5 N2 F5 W4 R90 R90 W1 F34 W2 L90 E2 R180 N5 W2 R180 N2 S2 N3 F48 S2 L90 F81 N2 F16 W4 F40 L90 N3 L180 N2 L90 E5 F8 F6 R90 S3 W5 W1 R90 F18 S3 L90 F19 R90 F46 F37 R90 N3 W4 E3 F28 E3 N5 L90 S4 E1 F28 L90 N5 R180 N1 L90 E3 S1 R180 F32 R90 N4 F22 L90 S5 E4 R90 F70 W4 F39 S4 L90 N1 L90 F6 L90 F92 L90 N5 L90 L90 N5 E2 L180 E5 R90 F95 N4 E1 F77 N3 R180 S2 W2 F71 F59 N3 F10 E4 L90 N5 F9 R180 W1 S5 W5 F71 E1 F35 R90 F45 N1 F54""" # # input = """F10 # N3 # F7 # R90 # F11""" input = input.split('\n') x, y = 0, 0 direction = (0, 1) map = { "N": (1, 0), "S": (-1, 0), "W": (0, -1), "E": (0, 1), } r_map = { (0, 1): (-1, 0), (-1, 0): (0, -1), (0, -1): (1, 0), (1, 0): (0, 1), } l_map = { (0, 1): (1, 0), (1, 0): (0, -1), (0, -1): (-1, 0), (-1, 0): (0, 1), } # for i in input: # instruction, amount = i[0], int(i[1:]) # # print("Instuction %s in amount %s from %s" % (instruction, amount, (x,y))) # # if instruction in map.keys(): # x += map[instruction][0] * amount # y += map[instruction][1] * amount # # elif instruction == "F": # x += direction[0] * amount # y += direction[1] * amount # # elif instruction in "RL": # amount %= 360 # amount /= 90 # print("Instruction:", amount) # # if instruction == "R": # for _ in range(amount): # direction = r_map[direction] # # if instruction == "L": # for _ in range(amount): # direction = l_map[direction] # # print("Part 1 manhattan distance: ", x , "+", y, "=", abs(x)+abs(y)) x, y = 0, 0 wx, wy = 1, 10 direction = (0, 1) print("Start: ship: %s --- waypoint: %s" % ((x,y), (wx, wy))) for i in input: instruction, amount = i[0], int(i[1:]) print("Instruction:", i) if instruction in map.keys(): wx += map[instruction][0] * amount wy += map[instruction][1] * amount elif instruction == "F": x += (wx) * amount y += (wy) * amount # wx += wx * amount # wy += wy * amount elif instruction in "RL": amount %= 360 print("Amount:", amount) if amount == 180: wx, wy = -wx, -wy elif amount == 90: if instruction == "L": wx, wy = wy, -wx if instruction == "R": wx, wy = -wy, wx elif amount == 270: if instruction == "L": wx, wy = -wy, wx if instruction == "R": wx, wy = wy, -wx print("End : ship: %s --- waypoint: %s" % ((x, y), (wx, wy))) print("Part 2manhattan distance: ", x , "+", y, "=", abs(x)+abs(y))

5.695205

80

0.586089

1,063

4,989

2.745061

0.145814

0.010966

0.006169

0.005483

0.178204

0.14599

0.11035

0.070596

0

0.370338

0.317499

4,989

875

81

5.701714

0.486637

0.165564

0

0.919414

0

0.686455

0

1

0

1

0

false

0

0.006105

0

null

0

1

0

1

0

1

0

1

0

null

1

0

5

ffef0b9a0d51339172fabc98f2eb6e718de7cc74

152

py

Python

sld/types.py

instituteofcancerresearch/slidebook-python

0477478c68b435e52e52f438411dba954a50bf04

[ "MIT" ]

1

2022-01-26T17:32:58.000Z

sld/types.py

instituteofcancerresearch/slidebook-python

0477478c68b435e52e52f438411dba954a50bf04

[ "MIT" ]

8

2022-01-26T18:08:49.000Z

2022-02-15T13:48:39.000Z

sld/types.py

instituteofcancerresearch/slidebook-python

0477478c68b435e52e52f438411dba954a50bf04

[ "MIT" ]

1

2022-03-24T08:42:26.000Z

from typing import TYPE_CHECKING, Union import numpy as np if TYPE_CHECKING: import dask.array ArrayLike = Union[np.ndarray, "dask.array.Array"]

16.888889

49

0.763158

23

152

4.956522

0.608696

0.210526

0

0.157895

152

8

50

19

0.890625

0

0.105263

0

1

0

false

0

0.6

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

081b6d8660001255c7e8971a20c750f1a5003257

42

py

Python

script/scaffold/templates/tests/__init__.py

psicot/home-assistant

60f0988435ac104f83ace36fa762bb27cb093509

[ "Apache-2.0" ]

null

script/scaffold/templates/tests/__init__.py

psicot/home-assistant

60f0988435ac104f83ace36fa762bb27cb093509

[ "Apache-2.0" ]

null

script/scaffold/templates/tests/__init__.py

psicot/home-assistant

60f0988435ac104f83ace36fa762bb27cb093509

[ "Apache-2.0" ]

null

"""Tests for the NEW_NAME integration."""

21

41

0.714286

6

42

4.833333

1

0

0.119048

42

1

42

0.783784

0.833333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

082fbf5774c8e4aa2e7004df623539d76b8d37fa

112

py

Python

cythonTest/callFromC/setup.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

cythonTest/callFromC/setup.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

cythonTest/callFromC/setup.py

terasakisatoshi/pythonCodes

baee095ecee96f6b5ec6431267cdc6c40512a542

[ "MIT" ]

null

from distutils.core import setup from Cython.Build import cythonize setup(ext_modules=cythonize("cytest.pyx"))

28

42

0.821429

16

112

5.6875

0.75

0

0.089286

112

4

42

28

0.892157

0

0.088496

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

08429fee12844c7f1ac82f89f5bc06b033673f2c

105

py

Python

src/ui/core/property/__init__.py

temportalflux/MelodyBot

f5172a6895b8dc4ee89bf6327fd8663456390861

[ "Apache-2.0" ]

null

src/ui/core/property/__init__.py

temportalflux/MelodyBot

f5172a6895b8dc4ee89bf6327fd8663456390861

[ "Apache-2.0" ]

null

src/ui/core/property/__init__.py

temportalflux/MelodyBot

f5172a6895b8dc4ee89bf6327fd8663456390861

[ "Apache-2.0" ]

null

from .single_line_text_field import SingleLineTextField from .playlist_tag_table import PlaylistTagTable

35

55

0.904762

13

105

6.923077

0.846154

0

0.07619

105

2

56

52.5

0.927835

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

084e9f73d0fb73a8087fa303b25f9d5ff0e706bc

439

py

Python

RecoParticleFlow/PFClusterProducer/python/particleFlowClusterTimeAssigner_cfi.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

6

2017-09-08T14:12:56.000Z

2022-03-09T23:57:01.000Z

RecoParticleFlow/PFClusterProducer/python/particleFlowClusterTimeAssigner_cfi.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

545

2017-09-19T17:10:19.000Z

2022-03-07T16:55:27.000Z

RecoParticleFlow/PFClusterProducer/python/particleFlowClusterTimeAssigner_cfi.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

14

2017-10-04T09:47:21.000Z

2019-10-23T18:04:45.000Z

import FWCore.ParameterSet.Config as cms from RecoParticleFlow.PFClusterProducer.particleFlowClusterTimeAssignerDefault_cfi import * particleFlowTimeAssignerECAL = particleFlowClusterTimeAssignerDefault.clone() particleFlowTimeAssignerECAL.timeSrc = cms.InputTag('ecalBarrelClusterFastTimer:PerfectResolutionModel') particleFlowTimeAssignerECAL.timeResoSrc = cms.InputTag('ecalBarrelClusterFastTimer:PerfectResolutionModelResolution')

43.9

118

0.895216

27

439

14.518519

0.703704

0.056122

0.188776

0

0.047836

439

9

119

48.777778

0.937799

0

0.24714

0

1

0

false

0

0.4

0

0.4

0

1

0

1

null

0

1

0

1

0

null

0

1

0

5

f229c88eb3135443b84a13569aaf91cd6d64bb46

215

py

Python

src/wreadinput/__init__.py

WisconsinRobotics/wreadinput

8d63d130dd2e6a8e440b9ca1cee571c01d4091ea

[ "MIT" ]

null

src/wreadinput/__init__.py

WisconsinRobotics/wreadinput

8d63d130dd2e6a8e440b9ca1cee571c01d4091ea

[ "MIT" ]

1

2022-03-16T06:49:21.000Z

src/wreadinput/__init__.py

WisconsinRobotics/wreadinput

8d63d130dd2e6a8e440b9ca1cee571c01d4091ea

[ "MIT" ]

null

from . import default_node from .control import * from .device import InputDevice from .finder import DeviceFinder from .shape import DeviceShape from .wreadinput import WReadInput from .util.evdev_const import *

21.5

34

0.813953

28

215

6.178571

0.535714

0

0.139535

215

9

35

23.888889

0.935135

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f2a6203014c5e0e8af2db5a3821c9e353df148d3

1,760

py

Python

gripql/python/gripql/operators.py

jordan2lee/grip

64c4ae923ae8819569fe584c6750a24e51932aec

[ "MIT" ]

17

2018-10-25T15:33:51.000Z

2022-03-16T19:07:22.000Z

gripql/python/gripql/operators.py

jordan2lee/grip

64c4ae923ae8819569fe584c6750a24e51932aec

[ "MIT" ]

80

2018-08-28T17:15:31.000Z

2022-01-25T02:01:16.000Z

gripql/python/gripql/operators.py

jordan2lee/grip

64c4ae923ae8819569fe584c6750a24e51932aec

[ "MIT" ]

5

2017-09-12T05:40:41.000Z

2018-06-29T10:00:39.000Z

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 inside(key, lower, upper): return {"condition": {"key": key, "value": [lower, upper], "condition": "INSIDE"}} def outside(key, lower, upper): return {"condition": {"key": key, "value": [lower, upper], "condition": "OUTSIDE"}} def between(key, lower, upper): return {"condition": {"key": key, "value": [lower, upper], "condition": "BETWEEN"}} def within(key, values): if not isinstance(values, list): if not isinstance(values, dict): values = [values] return {"condition": {"key": key, "value": values, "condition": "WITHIN"}} def without(key, values): if not isinstance(values, list): if not isinstance(values, dict): values = [values] return {"condition": {"key": key, "value": values, "condition": "WITHOUT"}} def contains(key, value): return {"condition": {"key": key, "value": value, "condition": "CONTAINS"}}

25.882353

87

0.613068

203

1,760

5.26601

0.182266

0.142189

0.202058

0.235734

0.686623

0.372311

0

0.182386

1,760

67

88

26.268657

0.742877

0

0.162162

0

0.226136

0

1

0.405405

false

0

0.027027

0.351351

0.837838

0.027027

0

null

0

1

0

null

0

1

0

1

0

5

4b574c5e7977306ac2695c9a7441fa3f0da7210b

4,659

py

Python

notebook/str_num_determine.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

174

2018-05-30T21:14:50.000Z

2022-03-25T07:59:37.000Z

notebook/str_num_determine.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

5

2019-08-10T03:22:02.000Z

2021-07-12T20:31:17.000Z

notebook/str_num_determine.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

53

2018-04-27T05:26:35.000Z

2022-03-25T07:59:37.000Z

s = '1234567890' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = 1234567890 # isdecimal: True # isdigit: True # isnumeric: True s = '１２３４５６７８９０' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = １２３４５６７８９０ # isdecimal: True # isdigit: True # isnumeric: True s = '-1.23' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = -1.23 # isdecimal: False # isdigit: False # isnumeric: False s = '10\u00B2' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = 10² # isdecimal: False # isdigit: True # isnumeric: True s = '\u00BD' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = ½ # isdecimal: False # isdigit: False # isnumeric: True s = '\u2166' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = Ⅶ # isdecimal: False # isdigit: False # isnumeric: True s = '一二三四五六七八九〇' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = 一二三四五六七八九〇 # isdecimal: False # isdigit: False # isnumeric: True s = '壱億参阡萬' print('s =', s) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = 壱億参阡萬 # isdecimal: False # isdigit: False # isnumeric: True s = 'abc' print('s =', s) print('isalpha:', s.isalpha()) # s = abc # isalpha: True s = 'あいうえお' print('s =', s) print('isalpha:', s.isalpha()) # s = あいうえお # isalpha: True s = 'アイウエオ' print('s =', s) print('isalpha:', s.isalpha()) # s = アイウエオ # isalpha: True s = '漢字' print('s =', s) print('isalpha:', s.isalpha()) # s = 漢字 # isalpha: True s = '1234567890' print('s =', s) print('isalpha:', s.isalpha()) # s = 1234567890 # isalpha: False s = '１２３４５６７８９０' print('s =', s) print('isalpha:', s.isalpha()) # s = １２３４５６７８９０ # isalpha: False s = '一二三四五六七八九' print('s =', s) print('isalpha:', s.isalpha()) # s = 一二三四五六七八九 # isalpha: True s = '壱億参阡萬' print('s =', s) print('isalpha:', s.isalpha()) # s = 壱億参阡萬 # isalpha: True s = '〇' print('s =', s) print('isalpha:', s.isalpha()) # s = 〇 # isalpha: False s = '\u2166' print('s =', s) print('isalpha:', s.isalpha()) # s = Ⅶ # isalpha: False s = 'abc123' print('s =', s) print('isalnum:', s.isalnum()) print('isalpha:', s.isalpha()) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) # s = abc123 # isalnum: True # isalpha: False # isdecimal: False # isdigit: False # isnumeric: False s = 'abc123+-,.&' print('s =', s) print('isascii:', s.isascii()) print('isalnum:', s.isalnum()) # s = abc123+-,.& # isascii: True # isalnum: False s = 'あいうえお' print('s =', s) print('isascii:', s.isascii()) print('isalnum:', s.isalnum()) # s = あいうえお # isascii: False # isalnum: True s = '' print('s =', s) print('isalnum:', s.isalnum()) print('isalpha:', s.isalpha()) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) print('isascii:', s.isascii()) # s = # isalnum: False # isalpha: False # isdecimal: False # isdigit: False # isnumeric: False # isascii: True print(bool('')) # False print(bool('abc123')) # True s = '-1.23' print('s =', s) print('isalnum:', s.isalnum()) print('isalpha:', s.isalpha()) print('isdecimal:', s.isdecimal()) print('isdigit:', s.isdigit()) print('isnumeric:', s.isnumeric()) print('isascii:', s.isascii()) # s = -1.23 # isalnum: False # isalpha: False # isdecimal: False # isdigit: False # isnumeric: False # isascii: True print(float('-1.23')) # -1.23 print(type(float('-1.23'))) # <class 'float'> # print(float('abc')) # ValueError: could not convert string to float: 'abc' def is_num(s): try: float(s) except ValueError: return False else: return True print(is_num('123')) # True print(is_num('-1.23')) # True print(is_num('+1.23e10')) # True print(is_num('abc')) # False print(is_num('10,000,000')) # False def is_num_delimiter(s): try: float(s.replace(',', '')) except ValueError: return False else: return True print(is_num_delimiter('10,000,000')) # True def is_num_delimiter2(s): try: float(s.replace(',', '').replace(' ', '')) except ValueError: return False else: return True print(is_num_delimiter2('10,000,000')) # True print(is_num_delimiter2('10 000 000')) # True

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4b5c792b081b69fb295bc0474c99b0974975dce8

241

py

Python

server/statistics/micro_statistics/schemas/tracks_selected.py

ndjuric93/MusicOrganizer

ef2e50abfeb1629325274b260f654935fd3f2740

[ "Apache-2.0" ]

1

2019-09-13T18:05:27.000Z

server/statistics/micro_statistics/schemas/tracks_selected.py

ndjuric93/MusicOrganizer

ef2e50abfeb1629325274b260f654935fd3f2740

[ "Apache-2.0" ]

5

2021-03-09T00:49:53.000Z

2022-02-17T20:03:16.000Z

server/statistics/micro_statistics/schemas/tracks_selected.py

ndjuric93/MusicOrganizer

ef2e50abfeb1629325274b260f654935fd3f2740

[ "Apache-2.0" ]

null

from micro_statistics import ma from micro_statistics.models.track_selected_count import TrackSelectedCount class TrackSelected(ma.ModelSchema): class Meta: model = TrackSelectedCount track_selected = TrackSelected(many=True)

24.1

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null

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1

0

1

0

5

4b712b9f3c524f9ba569e0e06982fcfefd0a1e13

148

py

Python

back/app/routes/__init__.py

davidroeca/simple_graphql

a6b2b20b6458b6b2fa9363a542015ab42761bd98

[ "MIT" ]

null

back/app/routes/__init__.py

davidroeca/simple_graphql

a6b2b20b6458b6b2fa9363a542015ab42761bd98

[ "MIT" ]

null

back/app/routes/__init__.py

davidroeca/simple_graphql

a6b2b20b6458b6b2fa9363a542015ab42761bd98

[ "MIT" ]

null

from flask import Blueprint api_v1 = Blueprint('api_v1', __name__) # Enforce mutations from sub-modules from . import ( graphql, hello, )

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0

null

0

1

0

5

4ba3bcf676532fcf782354b4561b7cc3a6582cd8

172

py

Python

hlrl/torch/vision/transforms/__init__.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/vision/transforms/__init__.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

hlrl/torch/vision/transforms/__init__.py

Chainso/HLRL

584f4ed2fa4d8b311a21dbd862ec9434833dd7cd

[ "MIT" ]

null

from .interpolate import Interpolate from .grayscale import Grayscale from .convert_dimension_order import ConvertDimensionOrder from .stack_dimension import StackDimension

43

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19

172

7.894737

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172

4

59

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0.955414

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true

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

4bb4bb2eeebcf0e4d59e512366887657596aebcf

69

py

Python

pmxbot/__main__.py

adriandiazgar/pmxbot

ba3ef406c5359c3fde496bd7d22bfd4a758484da

[ "MIT" ]

17

2016-01-27T12:10:03.000Z

2019-08-28T23:02:51.000Z

pmxbot/__main__.py

adriandiazgar/pmxbot

ba3ef406c5359c3fde496bd7d22bfd4a758484da

[ "MIT" ]

79

2015-12-02T16:02:01.000Z

2020-02-09T01:51:05.000Z

pmxbot/__main__.py

adriandiazgar/pmxbot

ba3ef406c5359c3fde496bd7d22bfd4a758484da

[ "MIT" ]

8

2016-06-27T11:07:42.000Z

2019-01-24T20:21:42.000Z

import pmxbot.core if __name__ == '__main__': pmxbot.core.run()

13.8

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4.333333

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17.25

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null

0

1

0

1

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5

4bb664579ad58f9e83230268996a29cd465a44d1

96

py

Python

nvdbapiv3/__init__.py

alexdiem/nvdbapi-V3

18265ee6d02aed17d6199e5ed42fe731c9320a08

[ "MIT" ]

null

nvdbapiv3/__init__.py

alexdiem/nvdbapi-V3

18265ee6d02aed17d6199e5ed42fe731c9320a08

[ "MIT" ]

null

nvdbapiv3/__init__.py

alexdiem/nvdbapi-V3

18265ee6d02aed17d6199e5ed42fe731c9320a08

[ "MIT" ]

null

from .nvdbapiv3 import * from .nvdb2geojson import * from .apiforbindelse import apiforbindelse

24

42

0.822917

10

96

7.9

0.5

0.253165

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0.02381

0.125

96

3

43

32

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0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

29975bcf657921f98fdfcad7684b9c5cd83e4b8f

141

py

Python

samples/nlp_sentiment_analysis/sentiment_analysis/data/__init__.py

katyamust/ml-expr-fw

5ede3ff1f777430cf25e8731e4798fc37387fb9d

[ "MIT" ]

null

samples/nlp_sentiment_analysis/sentiment_analysis/data/__init__.py

katyamust/ml-expr-fw

5ede3ff1f777430cf25e8731e4798fc37387fb9d

[ "MIT" ]

null

samples/nlp_sentiment_analysis/sentiment_analysis/data/__init__.py

katyamust/ml-expr-fw

5ede3ff1f777430cf25e8731e4798fc37387fb9d

[ "MIT" ]

null

from .data_loader import DataLoader from .nlp_sample_data_loader import NLPSampleDataLoader __all__ = ['DataLoader', "NLPSampleDataLoader"]

28.2

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141

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1

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null

0

1

0

1

0

5

29d15602d0ffd00098d0c2ac7da37179f8d97e09

1,033

py

Python

simuvex/simuvex/engines/vex/statements/__init__.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

86

2015-08-06T23:25:07.000Z

2022-02-17T14:58:22.000Z

simuvex/simuvex/engines/vex/statements/__init__.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

132

2015-09-10T19:06:59.000Z

2018-10-04T20:36:45.000Z

simuvex/simuvex/engines/vex/statements/__init__.py

Ruide/angr-dev

964dc80c758e25c698c2cbcc454ef5954c5fa0a0

[ "BSD-2-Clause" ]

80

2015-08-07T10:30:20.000Z

2020-03-21T14:45:28.000Z

from angr.engines.vex.statements.base import SimIRStmt from angr.engines.vex.statements.noop import SimIRStmt_NoOp from angr.engines.vex.statements.imark import SimIRStmt_IMark from angr.engines.vex.statements.abihint import SimIRStmt_AbiHint from angr.engines.vex.statements.wrtmp import SimIRStmt_WrTmp from angr.engines.vex.statements.put import SimIRStmt_Put from angr.engines.vex.statements.store import SimIRStmt_Store from angr.engines.vex.statements.mbe import SimIRStmt_MBE from angr.engines.vex.statements.dirty import SimIRStmt_Dirty from angr.engines.vex.statements.exit import SimIRStmt_Exit from angr.engines.vex.statements.cas import SimIRStmt_CAS from angr.engines.vex.statements.storeg import SimIRStmt_StoreG from angr.engines.vex.statements.loadg import SimIRStmt_LoadG from angr.engines.vex.statements.llsc import SimIRStmt_LLSC from angr.engines.vex.statements.puti import SimIRStmt_PutI from angr.errors import UnsupportedIRStmtError, UnsupportedDirtyError, SimStatementError from angr import sim_options as o

54.368421

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1,033

5.959459

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0.255102

0.306122

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1,033

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true

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null

0

1

0

1

0

1

0

5

4b17dc9ef9d8017b0de4ad1dcce2dea49d5395df

48

py

Python

magic/gateway/entity/payment_type/payment_type_exception.py

DomAmato/magic-agent

5ab477feba00538f5e59aae644c212c45c4955e1

[ "MIT" ]

7

2019-01-16T20:49:48.000Z

2019-06-04T08:43:42.000Z

magic/gateway/entity/payment_type/payment_type_exception.py

DomAmato/magic-agent

5ab477feba00538f5e59aae644c212c45c4955e1

[ "MIT" ]

5

2019-01-09T20:36:44.000Z

2019-07-11T16:45:18.000Z

magic/gateway/entity/payment_type/payment_type_exception.py

DomAmato/magic-agent

5ab477feba00538f5e59aae644c212c45c4955e1

[ "MIT" ]

2

2019-02-27T20:00:43.000Z

2019-06-08T04:13:18.000Z

class PaymentTypeException(Exception): pass

16

38

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48

9.5

1

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48

2

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24

0.926829

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0.5

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null

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null

0

1

0

5

4b1b8c29ba32da9d7fe064d6e8346db4a141a0c3

190

py

Python

tests/test_package.py

lukasheinrich/awkward-xaod-bridge

cb78e69fcfc15fb7e5731a02794b87b11122920c

[ "BSD-3-Clause" ]

2

2021-06-08T14:42:49.000Z

2021-06-11T16:27:08.000Z

tests/test_package.py

lukasheinrich/awkward-xaod-bridge

cb78e69fcfc15fb7e5731a02794b87b11122920c

[ "BSD-3-Clause" ]

7

2021-06-23T17:10:58.000Z

2021-12-15T17:11:51.000Z

tests/test_package.py

lukasheinrich/awkward-xaod-bridge

cb78e69fcfc15fb7e5731a02794b87b11122920c

[ "BSD-3-Clause" ]

null

import awkward_xaod_bridge as xaodbridge def test_pybind11(): assert xaodbridge.calibrate([1,2,3], [4,5,6]).tolist() == [5,7,9] def test_version(): assert xaodbridge.__version__

19

69

0.710526

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190

4.535714

0.75

0.110236

0

0.067485

0.142105

190

9

70

21.111111

0.711656

0

0.4

1

0.4

true

0

0.2

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0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d9c1d4c478441b118c6cdc371465ba26068405a3

109

py

Python

mango/hedging/__init__.py

neilfutureftr/mango-explorer

d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed

[ "MIT" ]

null

mango/hedging/__init__.py

neilfutureftr/mango-explorer

d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed

[ "MIT" ]

null

mango/hedging/__init__.py

neilfutureftr/mango-explorer

d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed

[ "MIT" ]

null

from .hedger import Hedger from .nullhedger import NullHedger from .perptospothedger import PerpToSpotHedger

27.25

46

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12

109

7.833333

0.416667

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3

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36.333333

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1

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true

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null

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1

0

1

0

5

8a0b6053c7edcde3119e2ddbfa1cef6c28d814c0

162

py

Python

aerolyzer/__init__.py

wingarlo/Aerolyzer

16c91740ba561b988e67fdcd6ef802ed8a826da2

[ "Apache-2.0" ]

null

aerolyzer/__init__.py

wingarlo/Aerolyzer

16c91740ba561b988e67fdcd6ef802ed8a826da2

[ "Apache-2.0" ]

null

aerolyzer/__init__.py

wingarlo/Aerolyzer

16c91740ba561b988e67fdcd6ef802ed8a826da2

[ "Apache-2.0" ]

null

version = "0.0.0.4" #import image_restriction_functions #import image_restriction_main #import retrieve_image_data from wunderData import * from horizon import *

23.142857

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0

1

0

1

0

5

8a0f856a64fe7334e45d6ba2575e63f778636cf5

75

py

Python

discord_interactions/ocm/__init__.py

lyczak/discord-interactions.py

e4e448ed9ab922b7e5ba3965dcdb708473f92b7c

[ "MIT" ]

null

discord_interactions/ocm/__init__.py

lyczak/discord-interactions.py

e4e448ed9ab922b7e5ba3965dcdb708473f92b7c

[ "MIT" ]

null

discord_interactions/ocm/__init__.py

lyczak/discord-interactions.py

e4e448ed9ab922b7e5ba3965dcdb708473f92b7c

[ "MIT" ]

null

#!/usr/bin/env python from .command import Command, Option, OptionChoices

18.75

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0.773333

10

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5.8

0.9

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0.12

75

3

52

25

0.878788

0.266667

0

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true

0

1

0

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1

0

null

0

1

0

1

0

1

0

5

8a1555d32a5315cf3d7664cb18a929783705ca0d

153

py

Python

apps/common/views.py

thunderwin/bbs

2ac7ef2c61ddba11c61aeefa25f8dfc22a014cc9

[ "Apache-2.0" ]

null

apps/common/views.py

thunderwin/bbs

2ac7ef2c61ddba11c61aeefa25f8dfc22a014cc9

[ "Apache-2.0" ]

null

apps/common/views.py

thunderwin/bbs

2ac7ef2c61ddba11c61aeefa25f8dfc22a014cc9

[ "Apache-2.0" ]

null

from flask import Blueprint common_bp = Blueprint('common',__name__,url_prefix='/common') @common_bp.route('/') def index(): return 'common index'

19.125

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1

0

null

0

1

0

5

8a1d42f41a2098403d349610a226eef3dea82b9e

72

py

Python

tests/conftest.py

slxiao/partition

53ff137b26816d64bf002baf269dbf97b601a3ca

[ "MIT" ]

5

2019-11-22T08:34:12.000Z

2021-09-21T03:18:31.000Z

tests/conftest.py

slxiao/partition

53ff137b26816d64bf002baf269dbf97b601a3ca

[ "MIT" ]

3

2019-12-22T10:28:44.000Z

2021-10-09T19:14:31.000Z

tests/conftest.py

slxiao/partition

53ff137b26816d64bf002baf269dbf97b601a3ca

[ "MIT" ]

1

2020-12-01T15:31:30.000Z

import pytest @pytest.fixture def numbers(): return [4, 5, 6, 7, 8]

14.4

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0.638889

12

72

3.833333

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0.087719

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72

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0.25

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null

0

1

0

1

0

5

8a307c7fd0204d5d2c1dfba53ccb3657fb7d90e6

72

py

Python

app/gws/gis/ows/__init__.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

app/gws/gis/ows/__init__.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

app/gws/gis/ows/__init__.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

from . import request, formats, error from .util import shared_provider

24

37

0.805556

10

72

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72

2

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null

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1

0

1

0

1

0

5

8a5d04ee33b2f052981c1ad1a87e3f9fcfcc6647

6,718

py

Python

highlights/highlights_state_selection.py

yotamitai/Highway_Disagreements

18dccaa67b238700691c0f89b9fc2dfc2dab6751

[ "MIT" ]

null

highlights/highlights_state_selection.py

yotamitai/Highway_Disagreements

18dccaa67b238700691c0f89b9fc2dfc2dab6751

[ "MIT" ]

null

highlights/highlights_state_selection.py

yotamitai/Highway_Disagreements

18dccaa67b238700691c0f89b9fc2dfc2dab6751

[ "MIT" ]

null

import numpy as np from scipy.spatial import distance from bisect import bisect from bisect import insort_left def compute_states_importance(states_q_values_df, compare_to='worst'): if compare_to == 'worst': states_q_values_df['importance'] = states_q_values_df['q_values'].apply( lambda x: np.max(x) - np.min(x)) elif compare_to == 'second': states_q_values_df['importance'] = states_q_values_df['q_values'].apply( lambda x: np.max(x) - np.partition(x.flatten(), -2)[-2]) else: raise Exception('No importance criteria provided.') return states_q_values_df def highlights(state_importance_df, trace_lens, budget, context_length, minimum_gap): ''' generate highlights summary :param state_importance_df: dataframe with 2 columns: state and importance score of the state :param budget: allowed length of summary - note this includes only the important states, it doesn't count context around them :param context_length: how many states to show around the chosen important state (e.g., if context_lenght=10, we will show 10 states before and 10 states after the important state :param minimum_gap: how many states should we skip after showing the context for an important state. For example, if we chose state 200, and the context length is 10, we will show states 189-211. If minimum_gap=10, we will not consider states 212-222 and states 178-198 because they are too close :return: a list with the indices of the important states, and a list with all summary states (includes the context) ''' sorted_df = state_importance_df.sort_values(['importance'], ascending=False) summary_states = [] for index, row in sorted_df.iterrows(): state_index = row['state'] index_in_summary = bisect(summary_states, state_index) state_before = None state_after = None if index_in_summary > 0: state_before = summary_states[index_in_summary-1] if index_in_summary < len(summary_states): state_after = summary_states[index_in_summary] if state_after is not None: if state_index[0] == state_after[0]: if state_index[1]+context_length+minimum_gap > state_after[1]: continue if state_before is not None: if state_index[0] == state_before[0]: if state_index[1]-context_length-minimum_gap < state_before[1]: continue insort_left(summary_states,state_index) if len(summary_states) == budget: break summary_states_with_context = {} for state in summary_states: s, e = max(state[1]-context_length,0), min(state[1]+context_length, trace_lens[state[0]]-1) summary_states_with_context[state] = [(state[0], x) for x in (range(s,e))] return summary_states_with_context def find_similar_state_in_summary(state_importance_df, threshold, summary_states, new_state): most_similar_state = None minimal_distance = threshold for state in summary_states: state_features = state_importance_df.loc[state_importance_df['state'] == state].iloc[ 0].features distance = sum(state_features - new_state) if distance < minimal_distance: minimal_distance = distance most_similar_state = state return most_similar_state, minimal_distance def highlights_div(state_importance_df, trace_lens, budget, context_length, minimum_gap, threshold=50000): ''' generate highlights-div summary :param state_importance_df: dataframe with 2 columns: state and importance score of the state :param budget: allowed length of summary - note this includes only the important states, it doesn't count context around them :param context_length: how many states to show around the chosen important state (e.g., if context_lenght=10, we will show 10 states before and 10 states after the important state :param minimum_gap: how many states should we skip after showing the context for an important state. For example, if we chose state 200, and the context length is 10, we will show states 189-211. If minimum_gap=10, we will not consider states 212-222 and states 178-198 because they are too close :param distance_metric: metric to use for comparing states (function) :param percentile_threshold: what minimal distance to allow between states in summary :param subset_threshold: number of random states to be used as basis for the div-threshold :return: a list with the indices of the important states, and a list with all summary states (includes the context) ''' sorted_df = state_importance_df.sort_values(['importance'], ascending=False) summary_states = [] summary_states_with_context = [] num_chosen_states = 0 for index, row in sorted_df.iterrows(): state_index = row['state'] index_in_summary = bisect(summary_states, state_index) state_before = None state_after = None if index_in_summary > 0: state_before = summary_states[index_in_summary - 1] if index_in_summary < len(summary_states): state_after = summary_states[index_in_summary] if state_after is not None: if state_index[0] == state_after[0]: if state_index[1] + context_length + minimum_gap > state_after[1]: continue if state_before is not None: if state_index[0] == state_before[0]: if state_index[1] - context_length - minimum_gap < state_before[1]: continue most_similar_state, min_distance = \ find_similar_state_in_summary(state_importance_df, threshold, summary_states_with_context, row['features']) if most_similar_state is None: insort_left(summary_states, state_index) num_chosen_states += 1 print('summary_states:', summary_states) else: if min_distance > threshold: insort_left(summary_states, state_index) num_chosen_states += 1 print('summary_states:', summary_states) summary_states_with_context = {} for state in summary_states: s, e = max(state[1] - context_length, 0), min(state[1] + context_length, trace_lens[state[0]] - 1) summary_states_with_context[state] = [(state[0], x) for x in (range(s, e))] if len(summary_states) == budget: break return summary_states_with_context

49.036496

120

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920

6,718

4.698913

0.165217

0.099237

0.039325

0.044414

0.789035

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0.737451

0

0.021251

0.250521

6,718

137

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0.837339

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0.020833

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null

0

1

0

null

0

5

8a682cd255cfdd83d060fcb7f4bbd6e7236292ac

184

py

Python

pyemto/EOS/__init__.py

hitliaomq/pyemto

334903fbe626fa8b9f7e1f7a089b7c0e30edba46

[ "MIT" ]

11

2018-04-10T02:01:12.000Z

2021-12-10T06:44:54.000Z

pyemto/EOS/__init__.py

hitliaomq/pyemto

334903fbe626fa8b9f7e1f7a089b7c0e30edba46

[ "MIT" ]

null

pyemto/EOS/__init__.py

hitliaomq/pyemto

334903fbe626fa8b9f7e1f7a089b7c0e30edba46

[ "MIT" ]

2

2020-02-01T19:59:50.000Z

2020-04-07T20:53:40.000Z

# -*- coding: utf-8 -*- """ Created on Wed Dec 3 15:01:34 2014 @author: Matti Ropo @author: Henrik Levämäki """ from __future__ import print_function from pyemto.EOS.EOS import EOS

16.727273

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0

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184

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null

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1

0

1

0

1

0

5

8a68e31e26bc0cb21ab9b6a7be5c10fa10fcee0c

20,795

py

Python

packages/python/plotly/plotly/graph_objs/layout/_grid.py

eranws/plotly.py

5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/layout/_grid.py

eranws/plotly.py

5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/layout/_grid.py

eranws/plotly.py

5b0e8d3ccab55fe1a6e4ba123cfc9d718a9ffc5a

[ "MIT" ]

null

from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType import copy as _copy class Grid(_BaseLayoutHierarchyType): # class properties # -------------------- _parent_path_str = "layout" _path_str = "layout.grid" _valid_props = { "columns", "domain", "pattern", "roworder", "rows", "subplots", "xaxes", "xgap", "xside", "yaxes", "ygap", "yside", } # columns # ------- @property def columns(self): """ The number of columns in the grid. If you provide a 2D `subplots` array, the length of its longest row is used as the default. If you give an `xaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. The 'columns' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [1, 9223372036854775807] Returns ------- int """ return self["columns"] @columns.setter def columns(self, val): self["columns"] = val # domain # ------ @property def domain(self): """ The 'domain' property is an instance of Domain that may be specified as: - An instance of :class:`plotly.graph_objs.layout.grid.Domain` - A dict of string/value properties that will be passed to the Domain constructor Supported dict properties: x Sets the horizontal domain of this grid subplot (in plot fraction). The first and last cells end exactly at the domain edges, with no grout around the edges. y Sets the vertical domain of this grid subplot (in plot fraction). The first and last cells end exactly at the domain edges, with no grout around the edges. Returns ------- plotly.graph_objs.layout.grid.Domain """ return self["domain"] @domain.setter def domain(self, val): self["domain"] = val # pattern # ------- @property def pattern(self): """ If no `subplots`, `xaxes`, or `yaxes` are given but we do have `rows` and `columns`, we can generate defaults using consecutive axis IDs, in two ways: "coupled" gives one x axis per column and one y axis per row. "independent" uses a new xy pair for each cell, left-to-right across each row then iterating rows according to `roworder`. The 'pattern' property is an enumeration that may be specified as: - One of the following enumeration values: ['independent', 'coupled'] Returns ------- Any """ return self["pattern"] @pattern.setter def pattern(self, val): self["pattern"] = val # roworder # -------- @property def roworder(self): """ Is the first row the top or the bottom? Note that columns are always enumerated from left to right. The 'roworder' property is an enumeration that may be specified as: - One of the following enumeration values: ['top to bottom', 'bottom to top'] Returns ------- Any """ return self["roworder"] @roworder.setter def roworder(self, val): self["roworder"] = val # rows # ---- @property def rows(self): """ The number of rows in the grid. If you provide a 2D `subplots` array or a `yaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. The 'rows' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [1, 9223372036854775807] Returns ------- int """ return self["rows"] @rows.setter def rows(self, val): self["rows"] = val # subplots # -------- @property def subplots(self): """ Used for freeform grids, where some axes may be shared across subplots but others are not. Each entry should be a cartesian subplot id, like "xy" or "x3y2", or "" to leave that cell empty. You may reuse x axes within the same column, and y axes within the same row. Non-cartesian subplots and traces that support `domain` can place themselves in this grid separately using the `gridcell` attribute. The 'subplots' property is an info array that may be specified as: * a 2D list where: The 'subplots[i][j]' property is an enumeration that may be specified as: - One of the following enumeration values: [''] - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?$'] Returns ------- list """ return self["subplots"] @subplots.setter def subplots(self, val): self["subplots"] = val # xaxes # ----- @property def xaxes(self): """ Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an x axis id like "x", "x2", etc., or "" to not put an x axis in that column. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `yaxes` is present, will generate consecutive IDs. The 'xaxes' property is an info array that may be specified as: * a list of elements where: The 'xaxes[i]' property is an enumeration that may be specified as: - One of the following enumeration values: [''] - A string that matches one of the following regular expressions: ['^x([2-9]|[1-9][0-9]+)?$'] Returns ------- list """ return self["xaxes"] @xaxes.setter def xaxes(self, val): self["xaxes"] = val # xgap # ---- @property def xgap(self): """ Horizontal space between grid cells, expressed as a fraction of the total width available to one cell. Defaults to 0.1 for coupled-axes grids and 0.2 for independent grids. The 'xgap' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["xgap"] @xgap.setter def xgap(self, val): self["xgap"] = val # xside # ----- @property def xside(self): """ Sets where the x axis labels and titles go. "bottom" means the very bottom of the grid. "bottom plot" is the lowest plot that each x axis is used in. "top" and "top plot" are similar. The 'xside' property is an enumeration that may be specified as: - One of the following enumeration values: ['bottom', 'bottom plot', 'top plot', 'top'] Returns ------- Any """ return self["xside"] @xside.setter def xside(self, val): self["xside"] = val # yaxes # ----- @property def yaxes(self): """ Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an y axis id like "y", "y2", etc., or "" to not put a y axis in that row. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `xaxes` is present, will generate consecutive IDs. The 'yaxes' property is an info array that may be specified as: * a list of elements where: The 'yaxes[i]' property is an enumeration that may be specified as: - One of the following enumeration values: [''] - A string that matches one of the following regular expressions: ['^y([2-9]|[1-9][0-9]+)?$'] Returns ------- list """ return self["yaxes"] @yaxes.setter def yaxes(self, val): self["yaxes"] = val # ygap # ---- @property def ygap(self): """ Vertical space between grid cells, expressed as a fraction of the total height available to one cell. Defaults to 0.1 for coupled-axes grids and 0.3 for independent grids. The 'ygap' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["ygap"] @ygap.setter def ygap(self, val): self["ygap"] = val # yside # ----- @property def yside(self): """ Sets where the y axis labels and titles go. "left" means the very left edge of the grid. *left plot* is the leftmost plot that each y axis is used in. "right" and *right plot* are similar. The 'yside' property is an enumeration that may be specified as: - One of the following enumeration values: ['left', 'left plot', 'right plot', 'right'] Returns ------- Any """ return self["yside"] @yside.setter def yside(self, val): self["yside"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ columns The number of columns in the grid. If you provide a 2D `subplots` array, the length of its longest row is used as the default. If you give an `xaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. domain :class:`plotly.graph_objects.layout.grid.Domain` instance or dict with compatible properties pattern If no `subplots`, `xaxes`, or `yaxes` are given but we do have `rows` and `columns`, we can generate defaults using consecutive axis IDs, in two ways: "coupled" gives one x axis per column and one y axis per row. "independent" uses a new xy pair for each cell, left- to-right across each row then iterating rows according to `roworder`. roworder Is the first row the top or the bottom? Note that columns are always enumerated from left to right. rows The number of rows in the grid. If you provide a 2D `subplots` array or a `yaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. subplots Used for freeform grids, where some axes may be shared across subplots but others are not. Each entry should be a cartesian subplot id, like "xy" or "x3y2", or "" to leave that cell empty. You may reuse x axes within the same column, and y axes within the same row. Non- cartesian subplots and traces that support `domain` can place themselves in this grid separately using the `gridcell` attribute. xaxes Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an x axis id like "x", "x2", etc., or "" to not put an x axis in that column. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `yaxes` is present, will generate consecutive IDs. xgap Horizontal space between grid cells, expressed as a fraction of the total width available to one cell. Defaults to 0.1 for coupled-axes grids and 0.2 for independent grids. xside Sets where the x axis labels and titles go. "bottom" means the very bottom of the grid. "bottom plot" is the lowest plot that each x axis is used in. "top" and "top plot" are similar. yaxes Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an y axis id like "y", "y2", etc., or "" to not put a y axis in that row. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `xaxes` is present, will generate consecutive IDs. ygap Vertical space between grid cells, expressed as a fraction of the total height available to one cell. Defaults to 0.1 for coupled-axes grids and 0.3 for independent grids. yside Sets where the y axis labels and titles go. "left" means the very left edge of the grid. *left plot* is the leftmost plot that each y axis is used in. "right" and *right plot* are similar. """ def __init__( self, arg=None, columns=None, domain=None, pattern=None, roworder=None, rows=None, subplots=None, xaxes=None, xgap=None, xside=None, yaxes=None, ygap=None, yside=None, **kwargs ): """ Construct a new Grid object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.layout.Grid` columns The number of columns in the grid. If you provide a 2D `subplots` array, the length of its longest row is used as the default. If you give an `xaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. domain :class:`plotly.graph_objects.layout.grid.Domain` instance or dict with compatible properties pattern If no `subplots`, `xaxes`, or `yaxes` are given but we do have `rows` and `columns`, we can generate defaults using consecutive axis IDs, in two ways: "coupled" gives one x axis per column and one y axis per row. "independent" uses a new xy pair for each cell, left- to-right across each row then iterating rows according to `roworder`. roworder Is the first row the top or the bottom? Note that columns are always enumerated from left to right. rows The number of rows in the grid. If you provide a 2D `subplots` array or a `yaxes` array, its length is used as the default. But it's also possible to have a different length, if you want to leave a row at the end for non-cartesian subplots. subplots Used for freeform grids, where some axes may be shared across subplots but others are not. Each entry should be a cartesian subplot id, like "xy" or "x3y2", or "" to leave that cell empty. You may reuse x axes within the same column, and y axes within the same row. Non- cartesian subplots and traces that support `domain` can place themselves in this grid separately using the `gridcell` attribute. xaxes Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an x axis id like "x", "x2", etc., or "" to not put an x axis in that column. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `yaxes` is present, will generate consecutive IDs. xgap Horizontal space between grid cells, expressed as a fraction of the total width available to one cell. Defaults to 0.1 for coupled-axes grids and 0.2 for independent grids. xside Sets where the x axis labels and titles go. "bottom" means the very bottom of the grid. "bottom plot" is the lowest plot that each x axis is used in. "top" and "top plot" are similar. yaxes Used with `yaxes` when the x and y axes are shared across columns and rows. Each entry should be an y axis id like "y", "y2", etc., or "" to not put a y axis in that row. Entries other than "" must be unique. Ignored if `subplots` is present. If missing but `xaxes` is present, will generate consecutive IDs. ygap Vertical space between grid cells, expressed as a fraction of the total height available to one cell. Defaults to 0.1 for coupled-axes grids and 0.3 for independent grids. yside Sets where the y axis labels and titles go. "left" means the very left edge of the grid. *left plot* is the leftmost plot that each y axis is used in. "right" and *right plot* are similar. Returns ------- Grid """ super(Grid, self).__init__("grid") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.layout.Grid constructor must be a dict or an instance of :class:`plotly.graph_objs.layout.Grid`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Populate data dict with properties # ---------------------------------- _v = arg.pop("columns", None) _v = columns if columns is not None else _v if _v is not None: self["columns"] = _v _v = arg.pop("domain", None) _v = domain if domain is not None else _v if _v is not None: self["domain"] = _v _v = arg.pop("pattern", None) _v = pattern if pattern is not None else _v if _v is not None: self["pattern"] = _v _v = arg.pop("roworder", None) _v = roworder if roworder is not None else _v if _v is not None: self["roworder"] = _v _v = arg.pop("rows", None) _v = rows if rows is not None else _v if _v is not None: self["rows"] = _v _v = arg.pop("subplots", None) _v = subplots if subplots is not None else _v if _v is not None: self["subplots"] = _v _v = arg.pop("xaxes", None) _v = xaxes if xaxes is not None else _v if _v is not None: self["xaxes"] = _v _v = arg.pop("xgap", None) _v = xgap if xgap is not None else _v if _v is not None: self["xgap"] = _v _v = arg.pop("xside", None) _v = xside if xside is not None else _v if _v is not None: self["xside"] = _v _v = arg.pop("yaxes", None) _v = yaxes if yaxes is not None else _v if _v is not None: self["yaxes"] = _v _v = arg.pop("ygap", None) _v = ygap if ygap is not None else _v if _v is not None: self["ygap"] = _v _v = arg.pop("yside", None) _v = yside if yside is not None else _v if _v is not None: self["yside"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False

34.600666

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null

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null

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5

76f4249b6a49fad095b062095f245895449de4c2

25

py

Python

src/pyrocksdb/__init__.py

jdp5/python-rocksdb

3f4f0bc54e50e71ed38a12b8ba75ddbd88afff8e

[ "MIT" ]

1

2021-06-12T07:12:09.000Z

src/pyrocksdb/__init__.py

jdp5/python-rocksdb

3f4f0bc54e50e71ed38a12b8ba75ddbd88afff8e

[ "MIT" ]

null

src/pyrocksdb/__init__.py

jdp5/python-rocksdb

3f4f0bc54e50e71ed38a12b8ba75ddbd88afff8e

[ "MIT" ]

null

from .pyrocksdb import *

12.5

24

0.76

3

25

6.333333

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25

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0

1

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true

0

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null

0

1

0

null

0

1

0

1

0

5

0a3bcf34fe3227baf9ced5a8c13cebec164684b4

109

py

Python

whatsapp_tracker/mixins/selenium_urls_mixin.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

1

2021-09-25T12:22:35.000Z

whatsapp_tracker/mixins/selenium_urls_mixin.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

null

whatsapp_tracker/mixins/selenium_urls_mixin.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

null

class SeleniumUrlsMixin: @classmethod def open_url(cls, driver, url): return driver.get(url)

21.8

35

0.678899

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109

5.615385

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0

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0

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null

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1

0

null

0

1

0

1

0

5

0a52b305c3bf821d349e3fdff609c8659b332cb3

114

py

Python

named.py

adamsmd/fork-Inline-Python

53a1c2ca1751b5928909d929493e5ed29a721d02

[ "Artistic-2.0" ]

null

named.py

adamsmd/fork-Inline-Python

53a1c2ca1751b5928909d929493e5ed29a721d02

[ "Artistic-2.0" ]

null

named.py

adamsmd/fork-Inline-Python

53a1c2ca1751b5928909d929493e5ed29a721d02

[ "Artistic-2.0" ]

null

from logging import warn def test_named(a, b): return a + b def test_kwargs(**kwargs): return len(kwargs)

19

26

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5

0a549db3762ba3068c7ad33727ce37b631d50dfe

14,593

py

Python

tests/unit/states/test_ipset.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

5

2018-05-01T20:51:14.000Z

2021-11-09T05:43:00.000Z

tests/unit/states/test_ipset.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

86

2017-01-27T11:54:46.000Z

2020-05-20T06:25:26.000Z

tests/unit/states/test_ipset.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

11

2017-01-26T19:36:29.000Z

2021-12-11T07:54:16.000Z

# -*- coding: utf-8 -*- ''' :codeauthor: Jayesh Kariya <jayeshk@saltstack.com> ''' # Import Python libs from __future__ import absolute_import, print_function, unicode_literals # Import Salt Testing Libs from tests.support.mixins import LoaderModuleMockMixin from tests.support.unit import skipIf, TestCase from tests.support.mock import ( NO_MOCK, NO_MOCK_REASON, MagicMock, call, patch) # Import Salt Libs import salt.states.ipset as ipset @skipIf(NO_MOCK, NO_MOCK_REASON) class IpsetSetPresentTestCase(TestCase, LoaderModuleMockMixin): ''' Test cases for salt.states.ipset.present ''' fake_name = 'fake_ipset' fake_set_type = {'bitmap': '192.168.0.3'} def setup_loader_modules(self): return {ipset: {}} def _runner(self, expected_ret, test=False, check_set=False, new_set=None, new_set_assertion=True): mock_check_set = MagicMock(return_value=check_set) mock_new_set = MagicMock() if new_set is None else MagicMock(return_value=new_set) with patch.dict(ipset.__salt__, {'ipset.check_set': mock_check_set, 'ipset.new_set': mock_new_set}): with patch.dict(ipset.__opts__, {'test': test}): actual_ret = ipset.set_present(self.fake_name, self.fake_set_type) mock_check_set.assert_called_once_with(self.fake_name) if new_set_assertion: mock_new_set.assert_called_once_with(self.fake_name, self.fake_set_type, 'ipv4') else: self.assertTrue(mock_new_set.call_count == 0) self.assertDictEqual(actual_ret, expected_ret) def test_already_exists(self): ''' Test to verify the chain exists when it already exists. ''' ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset set {0} already exists for ipv4'.format(self.fake_name), 'changes': {}} self._runner(ret, check_set=True, new_set_assertion=False) def test_needs_update_test_mode(self): ''' Test to verify that detects need for update but doesn't apply when in test mode. ''' ret = {'name': self.fake_name, 'result': None, 'comment': 'ipset set {0} would be added for ipv4'.format(self.fake_name), 'changes': {}} self._runner(ret, test=True, new_set_assertion=False) def test_creates_set(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset set {0} created successfully for ipv4'.format(self.fake_name), 'changes': {'locale': self.fake_name}} self._runner(ret, new_set=True) def test_create_fails(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'Failed to create set {0} for ipv4: '.format(self.fake_name), 'changes': {}} self._runner(ret, new_set='') @skipIf(NO_MOCK, NO_MOCK_REASON) class IpsetSetAbsentTestCase(TestCase, LoaderModuleMockMixin): ''' Test cases for salt.states.ipset.present ''' fake_name = 'fake_ipset' fake_set_type = {'bitmap': '192.168.0.3'} def setup_loader_modules(self): return {ipset: {}} def _runner(self, expected_ret, test=False, check_set=True, delete_set='', flush_assertion=False, delete_set_assertion=False): mock_check_set = MagicMock(return_value=check_set) mock_flush = MagicMock() mock_delete_set = MagicMock() if delete_set is None else MagicMock(return_value=delete_set) with patch.dict(ipset.__opts__, {'test': test}): with patch.dict(ipset.__salt__, {'ipset.check_set': mock_check_set, 'ipset.flush': mock_flush, 'ipset.delete_set': mock_delete_set}): actual_ret = ipset.set_absent(self.fake_name) mock_check_set.assert_called_once_with(self.fake_name, 'ipv4') if flush_assertion: mock_flush.assert_called_once_with(self.fake_name, 'ipv4') else: self.assertTrue(mock_flush.call_count == 0) if delete_set_assertion: mock_delete_set.assert_called_once_with(self.fake_name, 'ipv4') else: self.assertTrue(mock_delete_set.call_count == 0) self.assertDictEqual(actual_ret, expected_ret) def test_already_absent(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset set {0} for ipv4 is already absent'.format(self.fake_name), 'changes': {}} self._runner(ret, check_set=False, delete_set=None) def test_remove_test_mode(self): ret = {'name': self.fake_name, 'result': None, 'comment': 'ipset set {0} for ipv4 would be removed'.format(self.fake_name), 'changes': {}} self._runner(ret, test=True, delete_set=None) def test_remove_fails(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'Failed to delete set {0} for ipv4: '.format(self.fake_name), 'changes': {}} self._runner(ret, flush_assertion=True, delete_set_assertion=True) def test_remove_success(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset set {0} deleted successfully for family ipv4'.format(self.fake_name), 'changes': {'locale': 'fake_ipset'}} self._runner(ret, delete_set=True, flush_assertion=True, delete_set_assertion=True) @skipIf(NO_MOCK, NO_MOCK_REASON) class IpsetPresentTestCase(TestCase, LoaderModuleMockMixin): ''' Test cases for salt.states.ipset.present ''' fake_name = 'fake_ipset' fake_entries = ['192.168.0.3', '192.168.1.3'] def setup_loader_modules(self): return {ipset: {}} def _runner(self, expected_ret, test=False, check=False, add=False, add_assertion=False): mock_check = MagicMock(return_value=check) mock_add = MagicMock(return_value=add) with patch.dict(ipset.__opts__, {'test': test}): with patch.dict(ipset.__salt__, {'ipset.check': mock_check, 'ipset.add': mock_add}): actual_ret = ipset.present(self.fake_name, self.fake_entries, set_name=self.fake_name) mock_check.assert_has_calls([call(self.fake_name, e, 'ipv4') for e in self.fake_entries], any_order=True) if add_assertion: expected_calls = [call(self.fake_name, e, 'ipv4', set_name=self.fake_name) for e in self.fake_entries] if add is not True: # if the add fails, then it will only get called once. expected_calls = expected_calls[:1] mock_add.assert_has_calls(expected_calls, any_order=True) else: self.assertTrue(mock_add.call_count == 0) self.assertDictEqual(actual_ret, expected_ret) def test_entries_already_present(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'entry for 192.168.0.3 already in set {0} for ipv4\n' 'entry for 192.168.1.3 already in set {0} for ipv4\n' ''.format(self.fake_name), 'changes': {}} self._runner(ret, check=True) def test_in_test_mode(self): ret = {'name': self.fake_name, 'result': None, 'comment': 'entry 192.168.0.3 would be added to set {0} for family ipv4\n' 'entry 192.168.1.3 would be added to set {0} for family ipv4\n' ''.format(self.fake_name), 'changes': {}} self._runner(ret, test=True) def test_add_fails(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'Failed to add to entry 192.168.1.3 to set {0} for family ipv4.\n' 'Error'.format(self.fake_name), 'changes': {}} self._runner(ret, add='Error', add_assertion=True) def test_success(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'entry 192.168.0.3 added to set {0} for family ipv4\n' 'entry 192.168.1.3 added to set {0} for family ipv4\n' ''.format(self.fake_name), 'changes': {'locale': 'fake_ipset'}} self._runner(ret, add='worked', add_assertion=True) def test_missing_entry(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'ipset entry must be specified', 'changes': {}} mock = MagicMock(return_value=True) with patch.dict(ipset.__salt__, {'ipset.check': mock}): self.assertDictEqual(ipset.present(self.fake_name), ret) @skipIf(NO_MOCK, NO_MOCK_REASON) class IpsetAbsentTestCase(TestCase, LoaderModuleMockMixin): ''' Test cases for salt.states.ipset.present ''' fake_name = 'fake_ipset' fake_entries = ['192.168.0.3', '192.168.1.3'] def setup_loader_modules(self): return {ipset: {}} def _runner(self, expected_ret, test=False, check=False, delete=False, delete_assertion=False): mock_check = MagicMock(return_value=check) mock_delete = MagicMock(return_value=delete) with patch.dict(ipset.__opts__, {'test': test}): with patch.dict(ipset.__salt__, {'ipset.check': mock_check, 'ipset.delete': mock_delete}): actual_ret = ipset.absent(self.fake_name, self.fake_entries, set_name=self.fake_name) mock_check.assert_has_calls([call(self.fake_name, e, 'ipv4') for e in self.fake_entries], any_order=True) if delete_assertion: expected_calls = [call(self.fake_name, e, 'ipv4', set_name=self.fake_name) for e in self.fake_entries] if delete is not True: expected_calls = expected_calls[:1] mock_delete.assert_has_calls(expected_calls, any_order=True) else: self.assertTrue(mock_delete.call_count == 0) self.assertDictEqual(actual_ret, expected_ret) def test_already_absent(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset entry for 192.168.0.3 not present in set {0} for ipv4\n' 'ipset entry for 192.168.1.3 not present in set {0} for ipv4\n' ''.format(self.fake_name), 'changes': {}} self._runner(ret) def test_in_test_mode(self): ret = {'name': self.fake_name, 'result': None, 'comment': 'ipset entry 192.168.0.3 would be removed from set {0} for ipv4\n' 'ipset entry 192.168.1.3 would be removed from set {0} for ipv4\n' ''.format(self.fake_name), 'changes': {}} self._runner(ret, test=True, check=True) def test_del_fails(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'Failed to delete ipset entry from set {0} for ipv4. Attempted entry was 192.168.1.3.\n' 'Error\n'.format(self.fake_name), 'changes': {}} self._runner(ret, check=True, delete='Error', delete_assertion=True) def test_success(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'ipset entry 192.168.0.3 removed from set {0} for ipv4\n' 'ipset entry 192.168.1.3 removed from set {0} for ipv4\n' ''.format(self.fake_name), 'changes': {'locale': 'fake_ipset'}} self._runner(ret, check=True, delete='worked', delete_assertion=True) def test_absent(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'ipset entry must be specified', 'changes': {}} mock = MagicMock(return_value=True) with patch.dict(ipset.__salt__, {'ipset.check': mock}): self.assertDictEqual(ipset.absent(self.fake_name), ret) @skipIf(NO_MOCK, NO_MOCK_REASON) class IpsetFlushTestCase(TestCase, LoaderModuleMockMixin): ''' Test cases for salt.states.ipset.present ''' fake_name = 'fake_ipset' def setup_loader_modules(self): return {ipset: {}} def _runner(self, expected_ret, test=False, check_set=True, flush=True, flush_assertion=True): mock_check_set = MagicMock(return_value=check_set) mock_flush = MagicMock(return_value=flush) with patch.dict(ipset.__opts__, {'test': test}): with patch.dict(ipset.__salt__, {'ipset.check_set': mock_check_set, 'ipset.flush': mock_flush}): actual_ret = ipset.flush(self.fake_name) mock_check_set.assert_called_once_with(self.fake_name) if flush_assertion: mock_flush.assert_called_once_with(self.fake_name, 'ipv4') else: self.assertTrue(mock_flush.call_count == 0) self.assertDictEqual(actual_ret, expected_ret) def test_no_set(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'ipset set {0} does not exist for ipv4'.format(self.fake_name), 'changes': {}} self._runner(ret, check_set=False, flush_assertion=False) def test_in_test_mode(self): ret = {'name': self.fake_name, 'result': None, 'comment': 'ipset entries in set {0} for ipv4 would be flushed'.format(self.fake_name), 'changes': {}} self._runner(ret, test=True, flush_assertion=False) def test_flush_fails(self): ret = {'name': self.fake_name, 'result': False, 'comment': 'Failed to flush ipset entries from set {0} for ipv4'.format(self.fake_name), 'changes': {}} self._runner(ret, flush=False) def test_success(self): ret = {'name': self.fake_name, 'result': True, 'comment': 'Flushed ipset entries from set {0} for ipv4'.format(self.fake_name), 'changes': {'locale': 'fake_ipset'}} self._runner(ret)

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114

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0.084251

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0.050781

0.82312

0.793457

0.763062

0.715576

0.692383

0.674316

0

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0.288906

14,593

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false

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null

0

1

0

1

0

null

0

5

0a65590a2c7a0baac9416ba56cf7a27819b552f8

8,989

py

Python

Wrappers/Python/ccpi/filters/regularisers.py

TomasKulhanek/CCPi-Regularisation-Toolkit

ccff5dceaf0bbdd0f6fe40c995f5778fbaf86a6b

[ "Apache-2.0" ]

null

Wrappers/Python/ccpi/filters/regularisers.py

TomasKulhanek/CCPi-Regularisation-Toolkit

ccff5dceaf0bbdd0f6fe40c995f5778fbaf86a6b

[ "Apache-2.0" ]

2

2019-01-22T13:15:52.000Z

2019-01-24T14:32:47.000Z

Wrappers/Python/ccpi/filters/regularisers.py

TomasKulhanek/CCPi-Regularisation-Toolkit

ccff5dceaf0bbdd0f6fe40c995f5778fbaf86a6b

[ "Apache-2.0" ]

null

""" script which assigns a proper device core function based on a flag ('cpu' or 'gpu') """ from ccpi.filters.cpu_regularisers import TV_ROF_CPU, TV_FGP_CPU, TV_SB_CPU, dTV_FGP_CPU, TNV_CPU, NDF_CPU, Diff4th_CPU, TGV_CPU, LLT_ROF_CPU, PATCHSEL_CPU, NLTV_CPU try: from ccpi.filters.gpu_regularisers import TV_ROF_GPU, TV_FGP_GPU, TV_SB_GPU, dTV_FGP_GPU, NDF_GPU, Diff4th_GPU, TGV_GPU, LLT_ROF_GPU, PATCHSEL_GPU gpu_enabled = True except ImportError: gpu_enabled = False from ccpi.filters.cpu_regularisers import NDF_INPAINT_CPU, NVM_INPAINT_CPU def ROF_TV(inputData, regularisation_parameter, iterations, time_marching_parameter,device='cpu'): if device == 'cpu': return TV_ROF_CPU(inputData, regularisation_parameter, iterations, time_marching_parameter) elif device == 'gpu' and gpu_enabled: return TV_ROF_GPU(inputData, regularisation_parameter, iterations, time_marching_parameter) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def FGP_TV(inputData, regularisation_parameter,iterations, tolerance_param, methodTV, nonneg, printM, device='cpu'): if device == 'cpu': return TV_FGP_CPU(inputData, regularisation_parameter, iterations, tolerance_param, methodTV, nonneg, printM) elif device == 'gpu' and gpu_enabled: return TV_FGP_GPU(inputData, regularisation_parameter, iterations, tolerance_param, methodTV, nonneg, printM) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def SB_TV(inputData, regularisation_parameter, iterations, tolerance_param, methodTV, printM, device='cpu'): if device == 'cpu': return TV_SB_CPU(inputData, regularisation_parameter, iterations, tolerance_param, methodTV, printM) elif device == 'gpu' and gpu_enabled: return TV_SB_GPU(inputData, regularisation_parameter, iterations, tolerance_param, methodTV, printM) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def FGP_dTV(inputData, refdata, regularisation_parameter, iterations, tolerance_param, eta_const, methodTV, nonneg, printM, device='cpu'): if device == 'cpu': return dTV_FGP_CPU(inputData, refdata, regularisation_parameter, iterations, tolerance_param, eta_const, methodTV, nonneg, printM) elif device == 'gpu' and gpu_enabled: return dTV_FGP_GPU(inputData, refdata, regularisation_parameter, iterations, tolerance_param, eta_const, methodTV, nonneg, printM) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def TNV(inputData, regularisation_parameter, iterations, tolerance_param): return TNV_CPU(inputData, regularisation_parameter, iterations, tolerance_param) def NDF(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type, device='cpu'): if device == 'cpu': return NDF_CPU(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type) elif device == 'gpu' and gpu_enabled: return NDF_GPU(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def DIFF4th(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, device='cpu'): if device == 'cpu': return Diff4th_CPU(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter) elif device == 'gpu' and gpu_enabled: return Diff4th_GPU(inputData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def PatchSelect(inputData, searchwindow, patchwindow, neighbours, edge_parameter, device='cpu'): if device == 'cpu': return PATCHSEL_CPU(inputData, searchwindow, patchwindow, neighbours, edge_parameter) elif device == 'gpu' and gpu_enabled: return PATCHSEL_GPU(inputData, searchwindow, patchwindow, neighbours, edge_parameter) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def NLTV(inputData, H_i, H_j, H_k, Weights, regularisation_parameter, iterations): return NLTV_CPU(inputData, H_i, H_j, H_k, Weights, regularisation_parameter, iterations) def TGV(inputData, regularisation_parameter, alpha1, alpha0, iterations, LipshitzConst, device='cpu'): if device == 'cpu': return TGV_CPU(inputData, regularisation_parameter, alpha1, alpha0, iterations, LipshitzConst) elif device == 'gpu' and gpu_enabled: return TGV_GPU(inputData, regularisation_parameter, alpha1, alpha0, iterations, LipshitzConst) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def LLT_ROF(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter, device='cpu'): if device == 'cpu': return LLT_ROF_CPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter) elif device == 'gpu' and gpu_enabled: return LLT_ROF_GPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter) else: if not gpu_enabled and device == 'gpu': raise ValueError ('GPU is not available') raise ValueError('Unknown device {0}. Expecting gpu or cpu'\ .format(device)) def NDF_INP(inputData, maskData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type): return NDF_INPAINT_CPU(inputData, maskData, regularisation_parameter, edge_parameter, iterations, time_marching_parameter, penalty_type) def NVM_INP(inputData, maskData, SW_increment, iterations): return NVM_INPAINT_CPU(inputData, maskData, SW_increment, iterations)

41.809302

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0.562131

835

8,989

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0.106587

0.127883

0.131796

0.089374

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0

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null

0

5

6a4fd33c9ea88f6a6a1c7e5c7c3b7370c41bce6c

3,469

py

Python

sudoku/bin/dinkum_sudoku_print_worksheet.py

dinkumsoftware/dinkum

57fd217b81a5c95b08653977c8df17f7783ae3f6

[ "Apache-2.0" ]

null

sudoku/bin/dinkum_sudoku_print_worksheet.py

dinkumsoftware/dinkum

57fd217b81a5c95b08653977c8df17f7783ae3f6

[ "Apache-2.0" ]

null

sudoku/bin/dinkum_sudoku_print_worksheet.py

dinkumsoftware/dinkum

57fd217b81a5c95b08653977c8df17f7783ae3f6

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # dinkum/sudoku/bin/dinkum_sudoku_print_worksheet.py ''' Prints (to stdout) a sudoku board with rows/columns/blocks/cells labeled with number. An example is shown below: 0 1 2 3 4 5 6 7 8 /---------------------------------------------------------\ |0------------------1------------------2------------------| |0 1 2 |3 4 5 |6 7 8 || 0|| | | || | | || | | ||0 || | | || | | || | | || |---------------------------------------------------------| |9 10 11 |12 13 14 |15 16 17 || 1|| | | || | | || | | ||1 || | | || | | || | | || |---------------------------------------------------------| |18 19 20 |21 22 23 |24 25 26 || 2|| | | || | | || | | ||2 || | | || | | || | | || |---------------------------------------------------------| |3------------------4------------------5------------------| |27 28 29 |30 31 32 |33 34 35 || 3|| | | || | | || | | ||3 || | | || | | || | | || |---------------------------------------------------------| |36 37 38 |39 40 41 |42 43 44 || 4|| | | || | | || | | ||4 || | | || | | || | | || |---------------------------------------------------------| |45 46 47 |48 49 50 |51 52 53 || 5|| | | || | | || | | ||5 || | | || | | || | | || |---------------------------------------------------------| |6------------------7------------------8------------------| |54 55 56 |57 58 59 |60 61 62 || 6|| | | || | | || | | ||6 || | | || | | || | | || |---------------------------------------------------------| |63 64 65 |66 67 68 |69 70 71 || 7|| | | || | | || | | ||7 || | | || | | || | | || |---------------------------------------------------------| |72 73 74 |75 76 77 |78 79 80 || 8|| | | || | | || | | ||8 || | | || | | || | | || \---------------------------------------------------------/ 0 1 2 3 4 5 6 7 8 ''' # 2019-11-13 tc Initial development # 2019-11-19 tc refactored replace_substr_at() into dinkum.utils.str_utils.py # 2019-11-22 tc debugging and putting in block separaters # 2019-11-23 tc labeling cell# and blk# # refactored in sudoku.labeled_printer.labeled_print() # 2019-12-19 tc Renamed dinkum_sudoku_print_worksheet. # Changed the example from dinkum.sudoku.labeled_printer import print_labeled_board if __name__ == "__main__" : # [] of lines making up output # each is NOT terminated by \n # With no board supplied, it prints empty board # which is what we want for a worksheet print_labeled_board()

46.878378

77

0.238109

256

3,469

3.132813

0.605469

0.05985

0.014963

0.01995

0.03616

0.024938

0

0.122051

0.437878

3,469

73

78

47.520548

0.289231

0.948688

0

0.053691

0

1

0

true

0

0.333333

0

0.333333

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6a7351479c5caf8de5612fd649a9a29fde536572

119

py

Python

Module-2-Python-Basics/Types-And-Variables/print_types.py

CloudSkills/Coding-From-Scratch-Course

9b2f75f0f39fe3703f6e10b8fed0834078f6cb73

[ "MIT" ]

null

Module-2-Python-Basics/Types-And-Variables/print_types.py

CloudSkills/Coding-From-Scratch-Course

9b2f75f0f39fe3703f6e10b8fed0834078f6cb73

[ "MIT" ]

null

Module-2-Python-Basics/Types-And-Variables/print_types.py

CloudSkills/Coding-From-Scratch-Course

9b2f75f0f39fe3703f6e10b8fed0834078f6cb73

[ "MIT" ]

null

one_string = 'one' one_integer = 1 # Print the type of each variable print(type(one_string)) print(type(one_integer))

17

33

0.756303

20

119

4.3

0.5

0.209302

0.27907

0

0.009709

0.134454

119

7

34

17

0.825243

0.260504

0

0.034483

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

6a7c6dcefbf57d6c0c7ee1eb769978ed594f80e3

32

py

Python

apps/locations/views/__init__.py

jorgesaw/kmarket

bffdced85c55585a664622b346e272af60b67c33

[ "MIT" ]

null

apps/locations/views/__init__.py

jorgesaw/kmarket

bffdced85c55585a664622b346e272af60b67c33

[ "MIT" ]

1

2019-09-20T01:33:45.000Z

apps/locations/views/__init__.py

jorgesaw/kmarket

bffdced85c55585a664622b346e272af60b67c33

[ "MIT" ]

null

from .states import StateViewSet

32

0.875

4

32

7

1

0

0.09375

32

1

32

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6a7df4904565a1cf44b5a732f09ae3bb7023469c

1,191

py

Python

fixtures/pages/login_page.py

SvetaSadikova/qacoursemoodle_ui_test

08b64a02b770acba5b4330e3ab4856a80b816777

[ "Apache-2.0" ]

null

fixtures/pages/login_page.py

SvetaSadikova/qacoursemoodle_ui_test

08b64a02b770acba5b4330e3ab4856a80b816777

[ "Apache-2.0" ]

null

fixtures/pages/login_page.py

SvetaSadikova/qacoursemoodle_ui_test

08b64a02b770acba5b4330e3ab4856a80b816777

[ "Apache-2.0" ]

null

from selenium.webdriver.common.by import By from selenium.webdriver.remote.webelement import WebElement from fixtures.models.fake_data import LoginData from fixtures.pages.base_page import BasePage class LoginMoodle(BasePage): def __password_input(self) -> WebElement: return self.find_element_method(locator_name=(By.ID, 'password'), wait_time=3) def __login_input(self) -> WebElement: return self.find_element_method(locator_name=(By.ID, 'username')) def __submit_button(self) -> WebElement: return self.find_element_method(locator_name=(By.ID, 'loginbtn')) def auth_fun(self, data_for_login: LoginData, is_submit: bool = True): """ Функция авторизации TODO Добавить проверку на is_login """ self.input_data_method(data_for_login.log, locator_name=(By.ID, 'username')) self.input_data_method(data_for_login.passw, locator_name=(By.ID, 'password')) if is_submit: self.click_method(locator_name=(By.ID, 'loginbtn'), wait_time=3) def error_text(self): error_text = self.find_element_method(locator_name=(By.ID, 'loginerrormessage')) return error_text.text

37.21875

88

0.716205

158

1,191

5.107595

0.360759

0.095415

0.112763

0.130112

0.464684

0.387856

0.342007

0.26518

0.22057

0

0.002043

0.178002

1,191

31

89

38.419355

0.822268

0.04534

0

0.058824

0

0.032258

0

1

0.263158

false

0.157895

0.210526

0.157895

0.736842

0

null

0

null

0

1

0

1

0

1

0

1

0

5

6a8669d52bd544262c8ec927af49101590c83288

14

py

Python

abcd.py

salil-gtm/SignDetect

2ca7d6b2d7b2b615971cf4e743e943915389cbe3

[ "MIT" ]

23

2018-03-11T07:50:30.000Z

2021-09-03T11:25:45.000Z

abcd.py

salil-gtm/SignDetect

2ca7d6b2d7b2b615971cf4e743e943915389cbe3

[ "MIT" ]

null

abcd.py

salil-gtm/SignDetect

2ca7d6b2d7b2b615971cf4e743e943915389cbe3

[ "MIT" ]

8

2018-03-11T03:15:42.000Z

2022-02-03T05:01:51.000Z

print 'Hello';

14

0.714286

2

14

5

1

0

0.071429

14

1

14

0.769231

0

0.333333

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

6a86ae751bdcc632b652c16fc1bb719b1c89f8bc

38

py

Python

mLog/__init__.py

xujiang1/mLog

c1b939040880c9d3f305ea0b61547ce942bdf4c3

[ "MIT" ]

null

mLog/__init__.py

xujiang1/mLog

c1b939040880c9d3f305ea0b61547ce942bdf4c3

[ "MIT" ]

null

mLog/__init__.py

xujiang1/mLog

c1b939040880c9d3f305ea0b61547ce942bdf4c3

[ "MIT" ]

null

#!/usr/local/bin/python # coding=utf-8

19

23

0.710526

7

38

3.857143

1

0

0.027778

0.052632

38

2

24

19

0.722222

0.921053

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

6acafaedb8ac46873ea84b32c9c0288aee5bd982

4,015

py

Python

nba/endpoints/draft.py

rozzac90/new_nba

87feec5fc8ff6654fdb65229a047e0ff3023a9ff

[ "MIT" ]

1

2017-12-29T05:01:17.000Z

nba/endpoints/draft.py

rozzac90/new_nba

87feec5fc8ff6654fdb65229a047e0ff3023a9ff

[ "MIT" ]

2

2017-10-26T07:47:15.000Z

2020-04-18T12:24:36.000Z

nba/endpoints/draft.py

rozzac90/nba

87feec5fc8ff6654fdb65229a047e0ff3023a9ff

[ "MIT" ]

null

from nba import enums from nba.utils import clean_locals from nba.endpoints.baseendpoint import BaseEndpoint class Draft(BaseEndpoint): def combine_drill_results( self, league_id=enums.LeagueID.Default, season_year="2016-17" ): """ Combine drill results for a given year. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :param season_year: draft season. :type season_year: str('%Y-%y') :returns: Combine drill results by player. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "draftcombinedrillresults" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df def combine_stationary_shooting( self, league_id=enums.LeagueID.Default, season_year="2016-17" ): """ Moving shooting scores broken down by movement type. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :param season_year: draft season. :type season_year: str('%Y-%y') :returns: Movement shooting results by player. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "draftcombinenonstationaryshooting" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df def combine_player_anthropology( self, league_id=enums.LeagueID.Default, season_year="2016-17" ): """ Detailed breakdown of players measurements and physical stats. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :param season_year: draft season. :type season_year: str('%Y-%y') :returns: Measurements and physical information by player. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "draftcombineplayeranthro" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df def combine_spot_shooting( self, league_id=enums.LeagueID.Default, season_year="2016-17" ): """ Get raw and pct shooting results from draft combine for a given year. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :param season_year: draft season. :type season_year: str('%Y-%y') :returns: Combine shooting results by player. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "draftcombinespotshooting" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df def combine_stats(self, league_id=enums.LeagueID.Default, season_year="2016-17"): """ Get combine results for a draft year. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :param season_year: draft season. :type season_year: str('%Y-%y') :returns: Combine results by player. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "draftcombinestats" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df def history(self, league_id=enums.LeagueID.Default): """ Breakdown of pick number and player data for historical drafts. :param league_id: define league to look at, nba. :type league_id: nba.enums.LeagueID :returns: Player pick numbers for historic drafts. :rtype: Dataframe """ params = clean_locals(locals()) endpoint = "drafthistory" r = self.request(endpoint, params) df = self.process_response(r, 0, "resultSets") return df

33.458333

85

0.617435

463

4,015

5.235421

0.183585

0.059406

0.029703

0.042079

0.737624

0.724422

0.705858

0.683993

0

0.012596

0.288169

4,015

119

86

33.739496

0.835549

0.389539

0

0.666667

0

0.115307

0.05287

0

1

0.125

false

0

0.0625

0

0.333333

0

null

0

1

0

null

0

5

6ace578ddd98762078d76e9613d5f8580399c671

79

py

Python

modulation_utils.py

KarlXing/NeuromodulationDQN

485e7d304f5c534ce25200ce868cb3ca987537f2

[ "MIT" ]

null

modulation_utils.py

KarlXing/NeuromodulationDQN

485e7d304f5c534ce25200ce868cb3ca987537f2

[ "MIT" ]

null

modulation_utils.py

KarlXing/NeuromodulationDQN

485e7d304f5c534ce25200ce868cb3ca987537f2

[ "MIT" ]

null

import torch def tanh_beta(x, beta): x = x * beta return torch.tanh(x)

15.8

24

0.632911

14

79

3.5

0.5

0.204082

0

0.253165

79

5

24

15.8

0.830508

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

6ae9db0817b79df90fec0d99d7f7bdecb9ad2ea6

34,682

py

Python

tests20/python_client/testcases/test_insert.py

chriswarnock/milvus

ff4754a638a491adf7eca9952e1057272ba5d1a4

[ "Apache-2.0" ]

null

tests20/python_client/testcases/test_insert.py

chriswarnock/milvus

ff4754a638a491adf7eca9952e1057272ba5d1a4

[ "Apache-2.0" ]

1

2020-03-10T12:13:12.000Z

tests20/python_client/testcases/test_insert.py

chriswarnock/milvus

ff4754a638a491adf7eca9952e1057272ba5d1a4

[ "Apache-2.0" ]

1

2020-03-13T15:04:22.000Z

import threading import numpy as np import pandas as pd import pytest from pymilvus_orm import Index from base.client_base import TestcaseBase from utils.util_log import test_log as log from common import common_func as cf from common import common_type as ct from common.common_type import CaseLabel, CheckTasks prefix = "insert" exp_name = "name" exp_schema = "schema" exp_num = "num_entities" exp_primary = "primary" default_schema = cf.gen_default_collection_schema() default_binary_schema = cf.gen_default_binary_collection_schema() default_index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 64}} default_binary_index_params = {"index_type": "BIN_IVF_FLAT", "metric_type": "JACCARD", "params": {"nlist": 64}} class TestInsertParams(TestcaseBase): """ Test case of Insert interface """ @pytest.fixture(scope="function", params=ct.get_invalid_strs) def get_non_data_type(self, request): if isinstance(request.param, list) or request.param is None: pytest.skip("list and None type is valid data type") yield request.param @pytest.fixture(scope="module", params=ct.get_invalid_strs) def get_invalid_field_name(self, request): if isinstance(request.param, (list, dict)): pytest.skip() yield request.param @pytest.mark.tags(CaseLabel.L0) def test_insert_dataframe_data(self): """ target: test insert DataFrame data method: 1.create 2.insert dataframe data expected: assert num entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(ct.default_nb) mutation_res, _ = collection_w.insert(data=df) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L0) def test_insert_list_data(self): """ target: test insert list-like data method: 1.create 2.insert list data expected: assert num entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) data = cf.gen_default_list_data(ct.default_nb) mutation_res, _ = collection_w.insert(data=data) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == data[0] assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_non_data_type(self, get_non_data_type): """ target: test insert with non-dataframe, non-list data method: insert with data (non-dataframe and non-list type) expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) error = {ct.err_code: 0, ct.err_msg: "Data type is not support"} collection_w.insert(data=get_non_data_type, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L0) @pytest.mark.parametrize("data", [[], pd.DataFrame()]) def test_insert_empty_data(self, data): """ target: test insert empty data method: insert empty expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) error = {ct.err_code: 0, ct.err_msg: "The data fields number is not match with schema"} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_dataframe_only_columns(self): """ target: test insert with dataframe just columns method: dataframe just have columns expected: num entities is zero """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) columns = [ct.default_int64_field_name, ct.default_float_vec_field_name] df = pd.DataFrame(columns=columns) error = {ct.err_code: 0, ct.err_msg: "Cannot infer schema from empty dataframe"} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_empty_field_name_dataframe(self): """ target: test insert empty field name df method: dataframe with empty column expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(10) df.rename(columns={ct.default_int64_field_name: ' '}, inplace=True) error = {ct.err_code: 0, ct.err_msg: "The types of schema and data do not match"} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_invalid_field_name_dataframe(self, get_invalid_field_name): """ target: test insert with invalid dataframe data method: insert with invalid field name dataframe expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(10) df.rename(columns={ct.default_int64_field_name: get_invalid_field_name}, inplace=True) error = {ct.err_code: 0, ct.err_msg: "The types of schema and data do not match"} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) def test_insert_dataframe_index(self): """ target: test insert dataframe with index method: insert dataframe with index expected: todo """ pass @pytest.mark.tags(CaseLabel.L1) def test_insert_none(self): """ target: test insert None method: data is None expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) mutation_res, _ = collection_w.insert(data=None) assert mutation_res.insert_count == 0 assert len(mutation_res.primary_keys) == 0 assert collection_w.is_empty assert collection_w.num_entities == 0 @pytest.mark.tags(CaseLabel.L1) def test_insert_numpy_data(self): """ target: test insert numpy.ndarray data method: 1.create by schema 2.insert data expected: assert num_entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) data = cf.gen_numpy_data(nb=10) error = {ct.err_code: 0, ct.err_msg: "Data type not support numpy.ndarray"} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_binary_dataframe(self): """ target: test insert binary dataframe method: 1. create by schema 2. insert dataframe expected: assert num_entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name, schema=default_binary_schema) df, _ = cf.gen_default_binary_dataframe_data(ct.default_nb) mutation_res, _ = collection_w.insert(data=df) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L0) def test_insert_binary_data(self): """ target: test insert list-like binary data method: 1. create by schema 2. insert data expected: assert num_entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name, schema=default_binary_schema) data, _ = cf.gen_default_binary_list_data(ct.default_nb) mutation_res, _ = collection_w.insert(data=data) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == data[0] assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L0) def test_insert_single(self): """ target: test insert single method: insert one entity expected: verify num """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) data = cf.gen_default_list_data(nb=1) mutation_res, _ = collection_w.insert(data=data) assert mutation_res.insert_count == 1 assert mutation_res.primary_keys == data[0] assert collection_w.num_entities == 1 @pytest.mark.tags(CaseLabel.L1) @pytest.mark.xfail(reason="exception not MilvusException") def test_insert_dim_not_match(self): """ target: test insert with not match dim method: insert data dim not equal to schema dim expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) dim = 129 df = cf.gen_default_dataframe_data(ct.default_nb, dim=dim) error = {ct.err_code: 1, ct.err_msg: f'Collection field dim is {ct.default_dim}, but entities field dim is {dim}'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) @pytest.mark.xfail(reason="exception not MilvusException") def test_insert_binary_dim_not_match(self): """ target: test insert binary with dim not match method: insert binary data dim not equal to schema expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name, schema=default_binary_schema) dim = 120 df, _ = cf.gen_default_binary_dataframe_data(ct.default_nb, dim=dim) error = {ct.err_code: 1, ct.err_msg: f'Collection field dim is {ct.default_dim}, but entities field dim is {dim}'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_field_name_not_match(self): """ target: test insert field name not match method: data field name not match schema expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(10) df.rename(columns={ct.default_float_field_name: "int"}, inplace=True) error = {ct.err_code: 0, ct.err_msg: 'The types of schema and data do not match'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_field_value_not_match(self): """ target: test insert data value not match method: insert data value type not match schema expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 10 df = cf.gen_default_dataframe_data(nb) new_float_value = pd.Series(data=[float(i) for i in range(nb)], dtype="float64") df.iloc[:, 1] = new_float_value error = {ct.err_code: 0, ct.err_msg: 'The types of schema and data do not match'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_value_less(self): """ target: test insert value less than other method: int field value less than vec-field value expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 10 int_values = [i for i in range(nb - 1)] float_values = [np.float32(i) for i in range(nb)] float_vec_values = cf.gen_vectors(nb, ct.default_dim) data = [int_values, float_values, float_vec_values] error = {ct.err_code: 0, ct.err_msg: 'Arrays must all be same length.'} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_vector_value_less(self): """ target: test insert vector value less than other method: vec field value less than int field expected: todo """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 10 int_values = [i for i in range(nb)] float_values = [np.float32(i) for i in range(nb)] float_vec_values = cf.gen_vectors(nb - 1, ct.default_dim) data = [int_values, float_values, float_vec_values] error = {ct.err_code: 0, ct.err_msg: 'Arrays must all be same length.'} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_fields_more(self): """ target: test insert with fields more method: field more than schema fields expected: todo """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(ct.default_nb) new_values = [i for i in range(ct.default_nb)] df.insert(3, 'new', new_values) error = {ct.err_code: 0, ct.err_msg: 'The data fields number is not match with schema.'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_fields_less(self): """ target: test insert with fields less method: fields less than schema fields expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) df = cf.gen_default_dataframe_data(ct.default_nb) df.drop(ct.default_float_vec_field_name, axis=1, inplace=True) error = {ct.err_code: 0, ct.err_msg: 'The data fields number is not match with schema.'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_list_order_inconsistent_schema(self): """ target: test insert data fields order inconsistent with schema method: insert list data, data fields order inconsistent with schema expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 10 int_values = [i for i in range(nb)] float_values = [np.float32(i) for i in range(nb)] float_vec_values = cf.gen_vectors(nb, ct.default_dim) data = [float_values, int_values, float_vec_values] error = {ct.err_code: 0, ct.err_msg: 'The types of schema and data do not match'} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_dataframe_order_inconsistent_schema(self): """ target: test insert with dataframe fields inconsistent with schema method: insert dataframe, and fields order inconsistent with schema expected: assert num entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 10 int_values = pd.Series(data=[i for i in range(nb)]) float_values = pd.Series(data=[float(i) for i in range(nb)], dtype="float32") float_vec_values = cf.gen_vectors(nb, ct.default_dim) df = pd.DataFrame({ ct.default_float_field_name: float_values, ct.default_float_vec_field_name: float_vec_values, ct.default_int64_field_name: int_values }) error = {ct.err_code: 0, ct.err_msg: 'The types of schema and data do not match'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_inconsistent_data(self): """ target: test insert with inconsistent data method: insert with data that same field has different type data expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) data = cf.gen_default_list_data(nb=100) data[0][1] = 1.0 error = {ct.err_code: 0, ct.err_msg: "The data in the same column must be of the same type"} collection_w.insert(data, check_task=CheckTasks.err_res, check_items=error) class TestInsertOperation(TestcaseBase): """ ****************************************************************** The following cases are used to test insert interface operations ****************************************************************** """ @pytest.mark.tags(CaseLabel.L1) def test_insert_without_connection(self): """ target: test insert without connection method: insert after remove connection expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) self.connection_wrap.remove_connection(ct.default_alias) res_list, _ = self.connection_wrap.list_connections() assert ct.default_alias not in res_list data = cf.gen_default_list_data(10) error = {ct.err_code: 0, ct.err_msg: 'should create connect first'} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L1) def test_insert_drop_collection(self): """ target: test insert and drop method: insert data and drop collection expected: verify collection if exist """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) collection_list, _ = self.utility_wrap.list_collections() assert collection_w.name in collection_list df = cf.gen_default_dataframe_data(ct.default_nb) collection_w.insert(data=df) collection_w.drop() collection_list, _ = self.utility_wrap.list_collections() assert collection_w.name not in collection_list @pytest.mark.tags(CaseLabel.L1) def test_insert_create_index(self): """ target: test insert and create index method: 1. insert 2. create index expected: verify num entities and index """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(ct.default_nb) collection_w.insert(data=df) assert collection_w.num_entities == ct.default_nb collection_w.create_index(ct.default_float_vec_field_name, default_index_params) assert collection_w.has_index() index, _ = collection_w.index() assert index == Index(collection_w.collection, ct.default_float_vec_field_name, default_index_params) assert collection_w.indexes[0] == index @pytest.mark.tags(CaseLabel.L1) def test_insert_after_create_index(self): """ target: test insert after create index method: 1. create index 2. insert data expected: verify index and num entities """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) collection_w.create_index(ct.default_float_vec_field_name, default_index_params) assert collection_w.has_index() index, _ = collection_w.index() assert index == Index(collection_w.collection, ct.default_float_vec_field_name, default_index_params) assert collection_w.indexes[0] == index df = cf.gen_default_dataframe_data(ct.default_nb) collection_w.insert(data=df) assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L2) def test_insert_binary_after_index(self): """ target: test insert binary after index method: 1.create index 2.insert binary data expected: 1.index ok 2.num entities correct """ schema = cf.gen_default_binary_collection_schema() collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix), schema=schema) collection_w.create_index(ct.default_binary_vec_field_name, default_binary_index_params) assert collection_w.has_index() index, _ = collection_w.index() assert index == Index(collection_w.collection, ct.default_binary_vec_field_name, default_binary_index_params) assert collection_w.indexes[0] == index df, _ = cf.gen_default_binary_dataframe_data(ct.default_nb) collection_w.insert(data=df) assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_create_index(self): """ target: test create index in auto_id=True collection method: 1.create auto_id=True collection and insert 2.create index expected: index correct """ schema = cf.gen_default_collection_schema(auto_id=True) collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix), schema=schema) df = cf.gen_default_dataframe_data(ct.default_nb) df.drop(ct.default_int64_field_name, axis=1, inplace=True) mutation_res, _ = collection_w.insert(data=df) assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb) assert collection_w.num_entities == ct.default_nb # create index collection_w.create_index(ct.default_float_vec_field_name, default_index_params) assert collection_w.has_index() index, _ = collection_w.index() assert index == Index(collection_w.collection, ct.default_float_vec_field_name, default_index_params) assert collection_w.indexes[0] == index @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_true(self): """ target: test insert ids fields values when auto_id=True method: 1.create collection with auto_id=True 2.insert without ids expected: verify primary_keys and num_entities """ c_name = cf.gen_unique_str(prefix) schema = cf.gen_default_collection_schema(auto_id=True) collection_w = self.init_collection_wrap(name=c_name, schema=schema) df = cf.gen_default_dataframe_data(ct.default_nb) df.drop(ct.default_int64_field_name, axis=1, inplace=True) mutation_res, _ = collection_w.insert(data=df) assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb) assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_twice_auto_id_true(self): """ target: test insert ids fields twice when auto_id=True method: 1.create collection with auto_id=True 2.insert twice expected: verify primary_keys unique """ c_name = cf.gen_unique_str(prefix) schema = cf.gen_default_collection_schema(auto_id=True) nb = 10 collection_w = self.init_collection_wrap(name=c_name, schema=schema) df = cf.gen_default_dataframe_data(nb) df.drop(ct.default_int64_field_name, axis=1, inplace=True) mutation_res, _ = collection_w.insert(data=df) primary_keys = mutation_res.primary_keys assert cf._check_primary_keys(primary_keys, nb) mutation_res_1, _ = collection_w.insert(data=df) primary_keys.extend(mutation_res_1.primary_keys) assert cf._check_primary_keys(primary_keys, nb * 2) assert collection_w.num_entities == nb * 2 @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_true_list_data(self): """ target: test insert ids fields values when auto_id=True method: 1.create collection with auto_id=True 2.insert list data with ids field values expected: assert num entities """ c_name = cf.gen_unique_str(prefix) schema = cf.gen_default_collection_schema(auto_id=True) collection_w = self.init_collection_wrap(name=c_name, schema=schema) data = cf.gen_default_list_data(nb=ct.default_nb) mutation_res, _ = collection_w.insert(data=data[1:]) assert mutation_res.insert_count == ct.default_nb assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb) assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_true_with_dataframe_values(self): """ target: test insert with auto_id=True method: create collection with auto_id=True expected: 1.verify num entities 2.verify ids """ c_name = cf.gen_unique_str(prefix) schema = cf.gen_default_collection_schema(auto_id=True) collection_w = self.init_collection_wrap(name=c_name, schema=schema) df = cf.gen_default_dataframe_data(nb=100) error = {ct.err_code: 0, ct.err_msg: 'Auto_id is True, primary field should not have data'} collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error) assert collection_w.is_empty @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_true_with_list_values(self): """ target: test insert with auto_id=True method: create collection with auto_id=True expected: 1.verify num entities 2.verify ids """ c_name = cf.gen_unique_str(prefix) schema = cf.gen_default_collection_schema(auto_id=True) collection_w = self.init_collection_wrap(name=c_name, schema=schema) data = cf.gen_default_list_data(nb=100) error = {ct.err_code: 0, ct.err_msg: 'The data fields number is not match with schema'} collection_w.insert(data=data, check_task=CheckTasks.err_res, check_items=error) assert collection_w.is_empty @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_false_same_values(self): """ target: test insert same ids with auto_id false method: 1.create collection with auto_id=False 2.insert same int64 field values expected: raise exception """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 100 data = cf.gen_default_list_data(nb=nb) data[0] = [1 for i in range(nb)] mutation_res, _ = collection_w.insert(data) assert mutation_res.insert_count == nb assert mutation_res.primary_keys == data[0] @pytest.mark.tags(CaseLabel.L1) def test_insert_auto_id_false_negative_values(self): """ target: test insert negative ids with auto_id false method: auto_id=False, primary field values is negative expected: verify num entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) nb = 100 data = cf.gen_default_list_data(nb) data[0] = [i for i in range(0, -nb, -1)] mutation_res, _ = collection_w.insert(data) assert mutation_res.primary_keys == data[0] assert collection_w.num_entities == nb @pytest.mark.tags(CaseLabel.L2) def test_insert_multi_threading(self): """ target: test concurrent insert method: multi threads insert expected: verify num entities """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(ct.default_nb) thread_num = 4 threads = [] primary_keys = df[ct.default_int64_field_name].values.tolist() def insert(thread_i): log.debug(f'In thread-{thread_i}') mutation_res, _ = collection_w.insert(df) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == primary_keys for i in range(thread_num): x = threading.Thread(target=insert, args=(i,)) threads.append(x) x.start() for t in threads: t.join() assert collection_w.num_entities == ct.default_nb * thread_num @pytest.mark.tags(CaseLabel.L2) @pytest.mark.skip(reason="Currently primary keys are not unique") def test_insert_multi_threading_auto_id(self): """ target: test concurrent insert auto_id=True collection method: 1.create auto_id=True collection 2.concurrent insert expected: verify primary keys unique """ pass @pytest.mark.tags(CaseLabel.L2) def test_insert_multi_times(self): """ target: test insert multi times method: insert data multi times expected: verify num entities """ c_name = cf.gen_unique_str(prefix) collection_w = self.init_collection_wrap(name=c_name) step = 120 for _ in range(ct.default_nb // step): df = cf.gen_default_dataframe_data(step) mutation_res, _ = collection_w.insert(data=df) assert mutation_res.insert_count == step assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb class TestInsertAsync(TestcaseBase): """ ****************************************************************** The following cases are used to test insert async ****************************************************************** """ @pytest.mark.tags(CaseLabel.L1) def test_insert_sync(self): """ target: test async insert method: insert with async=True expected: verify num entities """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(nb=ct.default_nb) future, _ = collection_w.insert(data=df, _async=True) future.done() mutation_res = future.result() assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_async_false(self): """ target: test insert with false async method: async = false expected: verify num entities """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(nb=ct.default_nb) mutation_res, _ = collection_w.insert(data=df, _async=False) assert mutation_res.insert_count == ct.default_nb assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L1) def test_insert_async_callback(self): """ target: test insert with callback func method: insert with callback func expected: verify num entities """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(nb=ct.default_nb) future, _ = collection_w.insert(data=df, _async=True, _callback=assert_mutation_result) future.done() mutation_res = future.result() assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == ct.default_nb @pytest.mark.tags(CaseLabel.L2) def test_insert_async_long(self): """ target: test insert with async method: insert 5w entities with callback func expected: verify num entities """ nb = 50000 collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(nb) future, _ = collection_w.insert(data=df, _async=True) future.done() mutation_res = future.result() assert mutation_res.insert_count == nb assert mutation_res.primary_keys == df[ct.default_int64_field_name].values.tolist() assert collection_w.num_entities == nb @pytest.mark.tags(CaseLabel.L2) def test_insert_async_callback_timeout(self): """ target: test insert async with callback method: insert 10w entities with timeout=1 expected: raise exception """ nb = 100000 collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data(nb) future, _ = collection_w.insert(data=df, _async=True, _callback=assert_mutation_result, timeout=1) with pytest.raises(Exception): future.result() @pytest.mark.tags(CaseLabel.L2) def test_insert_async_invalid_data(self): """ target: test insert async with invalid data method: insert async with invalid data expected: raise exception """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) columns = [ct.default_int64_field_name, ct.default_float_vec_field_name] df = pd.DataFrame(columns=columns) error = {ct.err_code: 0, ct.err_msg: "Cannot infer schema from empty dataframe"} collection_w.insert(data=df, _async=True, check_task=CheckTasks.err_res, check_items=error) @pytest.mark.tags(CaseLabel.L2) def test_insert_async_invalid_partition(self): """ target: test insert async with invalid partition method: insert async with invalid partition expected: raise exception """ collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix)) df = cf.gen_default_dataframe_data() err_msg = "partitionID of partitionName:p can not be find" future, _ = collection_w.insert(data=df, partition_name="p", _async=True) future.done() with pytest.raises(Exception, match=err_msg): future.result() def assert_mutation_result(mutation_res): assert mutation_res.insert_count == ct.default_nb

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c__31.py

fhansmann/coding-challenges

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fhansmann/coding-challenges

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fhansmann/coding-challenges

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Alejandro-sin/Learning_Notebooks

161d6bed4c7b1d171b45f61c0cc6fa91e9894aad

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NoteBooks/Curso de Flask/Ex_Files_Full_Stack_Dev_Flask/Exercise Files/Section 5/5.5 End/application/models.py

Alejandro-sin/Learning_Notebooks

161d6bed4c7b1d171b45f61c0cc6fa91e9894aad

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NoteBooks/Curso de Flask/Ex_Files_Full_Stack_Dev_Flask/Exercise Files/Section 5/5.5 End/application/models.py

Alejandro-sin/Learning_Notebooks

161d6bed4c7b1d171b45f61c0cc6fa91e9894aad

[ "MIT" ]

null

import flask from application import db from werkzeug.security import generate_password_hash, check_password_hash class User(db.Document): user_id = db.IntField( unique=True ) first_name = db.StringField( max_length=50 ) last_name = db.StringField( max_length=50 ) email = db.StringField( max_length=30, unique=True ) password = db.StringField( ) def set_password(self, password): self.password = generate_password_hash(password) def get_password(self, password): return check_password_hash(self.password, password) class Course(db.Document): course_id = db.StringField( max_length=10, unique=True ) title = db.StringField( max_length=100 ) description = db.StringField( max_length=255 ) credits = db.IntField() term = db.StringField( max_length=25 ) class Enrollment(db.Document): user_id = db.IntField() course_id = db.StringField( max_length=10 )

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0ad4f5546db4d5989731cb1593b5640ee7af4c07

759

py

Python

custom-odoo-addons/demo_module/controllers/controllers.py

andrelohmann/vagrant-odoo_develoment

0b54403d6bdf01b17b82c32a1e9882629fa08ee8

[ "MIT" ]

null

custom-odoo-addons/demo_module/controllers/controllers.py

andrelohmann/vagrant-odoo_develoment

0b54403d6bdf01b17b82c32a1e9882629fa08ee8

[ "MIT" ]

null

custom-odoo-addons/demo_module/controllers/controllers.py

andrelohmann/vagrant-odoo_develoment

0b54403d6bdf01b17b82c32a1e9882629fa08ee8

[ "MIT" ]

1

2020-11-17T19:05:16.000Z

# -*- coding: utf-8 -*- # from odoo import http # class DemoModule(http.Controller): # @http.route('/demo_module/demo_module', auth='public') # def index(self, **kw): # return "Hello, world" # @http.route('/demo_module/demo_module/objects', auth='public') # def list(self, **kw): # return http.request.render('demo_module.listing', { # 'root': '/demo_module/demo_module', # 'objects': http.request.env['demo_module.demo_module'].search([]), # }) # @http.route('/demo_module/demo_module/objects/<model("demo_module.demo_module"):obj>', auth='public') # def object(self, obj, **kw): # return http.request.render('demo_module.object', { # 'object': obj # })

34.5

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0.592885

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759

4.898876

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5

0ae292da3c5b3c778b0a92d14ebc8e4eabdf201f

1,787

bzl

Python

third_party/com_fasterxml_jackson_datatype.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

third_party/com_fasterxml_jackson_datatype.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

third_party/com_fasterxml_jackson_datatype.bzl

wix-playground/rules_maven_third_party

ff0b486df194779d7d8e6c9102cd12138e3305c3

[ "Apache-2.0" ]

null

load(":import_external.bzl", import_external = "import_external") def dependencies(): import_external( name = "com_fasterxml_jackson_datatype_jackson_datatype_jdk8", artifact = "com.fasterxml.jackson.datatype:jackson-datatype-jdk8:2.12.4", artifact_sha256 = "00852350fc1503344723b590f1afe9593ab732fb5b035659b503b49bbea5c9b2", srcjar_sha256 = "480de9700a341cfb58adb26a87372c934c3b3f3f1dba5ec319796317c7524e64", deps = [ "@com_fasterxml_jackson_core_jackson_core", "@com_fasterxml_jackson_core_jackson_databind", ], ) import_external( name = "com_fasterxml_jackson_datatype_jackson_datatype_joda", artifact = "com.fasterxml.jackson.datatype:jackson-datatype-joda:2.12.4", artifact_sha256 = "0de93d725472df2027c3e869301a3035892e607d94423c589c96964305d51051", srcjar_sha256 = "999d17249f6d4491656e123b4ef49e326a57b1ec771c0b67834cc4b4ca692b45", deps = [ "@com_fasterxml_jackson_core_jackson_annotations", "@com_fasterxml_jackson_core_jackson_core", "@com_fasterxml_jackson_core_jackson_databind", "@joda_time_joda_time", ], ) import_external( name = "com_fasterxml_jackson_datatype_jackson_datatype_jsr310", artifact = "com.fasterxml.jackson.datatype:jackson-datatype-jsr310:2.12.4", artifact_sha256 = "af5a384d020e43f91f56d083f170d67aaf5aead71fa8fa1ad80a425b13ba13e4", srcjar_sha256 = "5d080278c2b98374a419c6b78586072de0c888f82618106a1e27ff20249d4b20", deps = [ "@com_fasterxml_jackson_core_jackson_annotations", "@com_fasterxml_jackson_core_jackson_core", "@com_fasterxml_jackson_core_jackson_databind", ], )

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