xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

c0c378b9b8a0ebb8d88b77024d6b1190eee6e552

120

py

Python

tests/module1.py

cyroilt/game

49dba23c8e361f8d870cb3260f3421ca9f9e16de

[ "BSD-3-Clause" ]

null

tests/module1.py

cyroilt/game

49dba23c8e361f8d870cb3260f3421ca9f9e16de

[ "BSD-3-Clause" ]

null

tests/module1.py

cyroilt/game

49dba23c8e361f8d870cb3260f3421ca9f9e16de

[ "BSD-3-Clause" ]

null

from validate_email import validate_email is_valid = validate_email("cyroil31@gmail.com", verify=True) print(is_valid)

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0

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c0d659daa4b4d279c3cd42b18dda9b8fe839b753

60

py

Python

tests/test_tools_1c.py

Qwedfgr/tools_1c

0ab49b26511784948d620c8f45263333c64d4032

[ "MIT" ]

3

2020-02-21T17:41:31.000Z

2021-07-19T01:49:07.000Z

tests/test_tools_1c.py

Qwedfgr/tools_1c

0ab49b26511784948d620c8f45263333c64d4032

[ "MIT" ]

null

tests/test_tools_1c.py

Qwedfgr/tools_1c

0ab49b26511784948d620c8f45263333c64d4032

[ "MIT" ]

1

2020-02-21T17:45:31.000Z

#!/usr/bin/env python """Tests for `tools_1c` package."""

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4

c0f5e8ec0befa34840078954c82056631b1b706e

830

py

Python

scooter/migrations/0003_auto_20190821_2323.py

sknzl/django_scooter

f567d745057dbbcb72fb874fff3761d7b61781da

[ "MIT" ]

3

2019-12-12T22:57:47.000Z

2020-02-04T14:20:10.000Z

scooter/migrations/0003_auto_20190821_2323.py

sknzl/django_scooter

f567d745057dbbcb72fb874fff3761d7b61781da

[ "MIT" ]

6

2020-06-06T01:02:38.000Z

2022-02-10T14:02:01.000Z

scooter/migrations/0003_auto_20190821_2323.py

sknzl/django_scooter

f567d745057dbbcb72fb874fff3761d7b61781da

[ "MIT" ]

null

# Generated by Django 2.2.4 on 2019-08-21 23:23 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('scooter', '0002_remove_scooter_last_activity_at'), ] operations = [ migrations.RenameField( model_name='scooter', old_name='updated_at', new_name='created', ), migrations.RenameField( model_name='scooter', old_name='created_at', new_name='updated', ), migrations.RenameField( model_name='scooteractivity', old_name='updated_at', new_name='created', ), migrations.RenameField( model_name='scooteractivity', old_name='created_at', new_name='updated', ), ]

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4

c0f620a5be7d14f0ee250e244273ba9980c749e6

105

py

Python

qaeval/generation/util.py

danieldeutsch/qaeval

dd7273183dd1b2c9995115310ef041daa953ca81

[ "Apache-2.0" ]

6

2020-10-30T17:34:05.000Z

2021-10-10T09:27:49.000Z

qaeval/generation/util.py

danieldeutsch/qaeval

dd7273183dd1b2c9995115310ef041daa953ca81

[ "Apache-2.0" ]

1

2020-10-02T03:20:09.000Z

2021-05-07T15:32:27.000Z

qaeval/generation/util.py

danieldeutsch/qaeval

dd7273183dd1b2c9995115310ef041daa953ca81

[ "Apache-2.0" ]

null

SPAN_START_TOKEN = '<m>' SPAN_END_TOKEN = '</m>' ALL_SPECIAL_TOKENS = [SPAN_START_TOKEN, SPAN_END_TOKEN]

26.25

55

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1

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null

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4

239587e2a20ff59bfc57794d86b8f552c806b426

89

py

Python

src/__init__.py

mehsoy/jaws

b79723c1fc549741494ebf5d948e94a44e971f2a

[ "MIT" ]

1

2019-06-17T17:01:17.000Z

src/__init__.py

mehsoy/jaws

b79723c1fc549741494ebf5d948e94a44e971f2a

[ "MIT" ]

7

2021-02-08T20:46:15.000Z

2021-09-08T02:12:59.000Z

src/__init__.py

mehsoy/jaws

b79723c1fc549741494ebf5d948e94a44e971f2a

[ "MIT" ]

null

#!/usr/bin/python #-*- coding: utf-8 -*- #sys.path.append('../../') #import exceptions

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4

23a71cf129997a48068790a7fc720732fe0adf38

4,430

py

Python

core_pe/block.py

astrofrog/dupeguru

d0a3f081dab21ea3d2fc69830c9e71a18078c150

[ "BSD-3-Clause" ]

1

2017-01-03T05:50:39.000Z

core_pe/block.py

astrofrog/dupeguru

d0a3f081dab21ea3d2fc69830c9e71a18078c150

[ "BSD-3-Clause" ]

null

core_pe/block.py

astrofrog/dupeguru

d0a3f081dab21ea3d2fc69830c9e71a18078c150

[ "BSD-3-Clause" ]

null

# Created By: Virgil Dupras # Created On: 2006/09/01 # Copyright 2013 Hardcoded Software (http://www.hardcoded.net) # # This software is licensed under the "BSD" License as described in the "LICENSE" file, # which should be included with this package. The terms are also available at # http://www.hardcoded.net/licenses/bsd_license from ._block import NoBlocksError, DifferentBlockCountError, avgdiff, getblocks2 # Converted to C # def getblock(image): # """Returns a 3 sized tuple containing the mean color of 'image'. # # image: a PIL image or crop. # """ # if image.size[0]: # pixel_count = image.size[0] * image.size[1] # red = green = blue = 0 # for r,g,b in image.getdata(): # red += r # green += g # blue += b # return (red // pixel_count, green // pixel_count, blue // pixel_count) # else: # return (0,0,0) # This is not used anymore # def getblocks(image,blocksize): # """Returns a list of blocks (3 sized tuples). # # image: A PIL image to base the blocks on. # blocksize: The size of the blocks to be create. This is a single integer, defining # both width and height (blocks are square). # """ # if min(image.size) < blocksize: # return () # result = [] # for i in xrange(image.size[1] // blocksize): # for j in xrange(image.size[0] // blocksize): # box = (blocksize * j, blocksize * i, blocksize * (j + 1), blocksize * (i + 1)) # crop = image.crop(box) # result.append(getblock(crop)) # return result # Converted to C # def getblocks2(image,block_count_per_side): # """Returns a list of blocks (3 sized tuples). # # image: A PIL image to base the blocks on. # block_count_per_side: This integer determine the number of blocks the function will return. # If it is 10, for example, 100 blocks will be returns (10 width, 10 height). The blocks will not # necessarely cover square areas. The area covered by each block will be proportional to the image # itself. # """ # if not image.size[0]: # return [] # width,height = image.size # block_width = max(width // block_count_per_side,1) # block_height = max(height // block_count_per_side,1) # result = [] # for ih in range(block_count_per_side): # top = min(ih * block_height, height - block_height) # bottom = top + block_height # for iw in range(block_count_per_side): # left = min(iw * block_width, width - block_width) # right = left + block_width # box = (left,top,right,bottom) # crop = image.crop(box) # result.append(getblock(crop)) # return result # Converted to C # def diff(first, second): # """Returns the difference between the first block and the second. # # It returns an absolute sum of the 3 differences (RGB). # """ # r1, g1, b1 = first # r2, g2, b2 = second # return abs(r1 - r2) + abs(g1 - g2) + abs(b1 - b2) # Converted to C # def avgdiff(first, second, limit=768, min_iterations=1): # """Returns the average diff between first blocks and seconds. # # If the result surpasses limit, limit + 1 is returned, except if less than min_iterations # iterations have been made in the blocks. # """ # if len(first) != len(second): # raise DifferentBlockCountError # if not first: # raise NoBlocksError # count = len(first) # sum = 0 # zipped = izip(xrange(1, count + 1), first, second) # for i, first, second in zipped: # sum += diff(first, second) # if sum > limit * i and i >= min_iterations: # return limit + 1 # result = sum // count # if (not result) and sum: # result = 1 # return result # This is not used anymore # def maxdiff(first,second,limit=768): # """Returns the max diff between first blocks and seconds. # # If the result surpasses limit, the first max being over limit is returned. # """ # if len(first) != len(second): # raise DifferentBlockCountError # if not first: # raise NoBlocksError # result = 0 # zipped = zip(first,second) # for first,second in zipped: # result = max(result,diff(first,second)) # if result > limit: # return result # return result

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4

23af479b8a13b4d58ed4221bce333ac9a5844a74

104

py

Python

creten/engines/CretenEngine.py

nardew/Creten

15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6

[ "MIT" ]

9

2019-12-17T10:42:40.000Z

2021-12-02T23:07:05.000Z

creten/engines/CretenEngine.py

nardew/Creten

15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6

[ "MIT" ]

null

creten/engines/CretenEngine.py

nardew/Creten

15ddb0b52e6f2afec2c79b3c731fccb34a2c63d6

[ "MIT" ]

6

2019-03-04T15:01:10.000Z

2022-01-12T23:22:55.000Z

from common.Logger import Logger class CretenEngine(object): def __init__(self): self.log = Logger()

20.8

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4

23d1afc98b83ed76032b3cab7e66899c75520b36

1,174

py

Python

compotes/migrations/0004_alter_debt_created_alter_debt_updated_and_more.py

nim65s/compotes

9088007d4092616ccbb4b67bad813a381942bd49

[ "BSD-2-Clause" ]

null

compotes/migrations/0004_alter_debt_created_alter_debt_updated_and_more.py

nim65s/compotes

9088007d4092616ccbb4b67bad813a381942bd49

[ "BSD-2-Clause" ]

5

2022-03-13T10:09:33.000Z

2022-03-21T20:02:05.000Z

compotes/migrations/0004_alter_debt_created_alter_debt_updated_and_more.py

nim65s/compotes

9088007d4092616ccbb4b67bad813a381942bd49

[ "BSD-2-Clause" ]

null

# Generated by Django 4.0.3 on 2022-03-13 09:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("compotes", "0003_alter_debt_options_alter_part_options_and_more"), ] operations = [ migrations.AlterField( model_name="debt", name="created", field=models.DateTimeField(auto_now_add=True, verbose_name="created"), ), migrations.AlterField( model_name="debt", name="updated", field=models.DateTimeField(auto_now=True, verbose_name="updated"), ), migrations.AlterField( model_name="pool", name="created", field=models.DateTimeField(auto_now_add=True, verbose_name="created"), ), migrations.AlterField( model_name="pool", name="name", field=models.CharField(max_length=200, unique=True, verbose_name="name"), ), migrations.AlterField( model_name="pool", name="updated", field=models.DateTimeField(auto_now=True, verbose_name="updated"), ), ]

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null

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4

f1e8c2fecb251ce2cb63e54144b4574bebe0eaa0

79

py

Python

layers/__init__.py

lukovnikov/transformer_generalization

a538bfbba6877cd7a21e710f2535df2e9236ba52

[ "MIT" ]

47

2021-08-30T00:41:15.000Z

2022-01-24T02:49:17.000Z

layers/__init__.py

lukovnikov/transformer_generalization

a538bfbba6877cd7a21e710f2535df2e9236ba52

[ "MIT" ]

null

layers/__init__.py

lukovnikov/transformer_generalization

a538bfbba6877cd7a21e710f2535df2e9236ba52

[ "MIT" ]

5

2021-09-04T23:51:51.000Z

2022-03-10T14:03:24.000Z

from .transformer import Transformer from .tied_embedding import TiedEmbedding

26.333333

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9

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7.555556

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0.101266

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7b150f4d4d0d44b192282588a12e9ffba16b0355

93

py

Python

djangoWeb/visualSeg/apps.py

guopeiming/NNTranSegmentor

4496932bfb93f64de0d0c07236c1dd523e6577c3

[ "Apache-2.0" ]

null

djangoWeb/visualSeg/apps.py

guopeiming/NNTranSegmentor

4496932bfb93f64de0d0c07236c1dd523e6577c3

[ "Apache-2.0" ]

null

djangoWeb/visualSeg/apps.py

guopeiming/NNTranSegmentor

4496932bfb93f64de0d0c07236c1dd523e6577c3

[ "Apache-2.0" ]

null

from django.apps import AppConfig class VisualsegConfig(AppConfig): name = 'visualSeg'

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93

5

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0

1

0

1

0

4

7b151771111c0c32fadf13236c531e9f492ece1f

88

py

Python

config/settings/local.py

Sinha-Ujjawal/dots-connect-deta

cdb9ab69a22b8623a1265d565ee2e9dd91b1f1fe

[ "MIT" ]

null

config/settings/local.py

Sinha-Ujjawal/dots-connect-deta

cdb9ab69a22b8623a1265d565ee2e9dd91b1f1fe

[ "MIT" ]

null

config/settings/local.py

Sinha-Ujjawal/dots-connect-deta

cdb9ab69a22b8623a1265d565ee2e9dd91b1f1fe

[ "MIT" ]

null

from .base import * # noqa INSTALLED_APPS = [*INSTALLED_APPS, "django_extensions"]

22

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0.8

0.433333

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1

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1

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null

0

1

0

4

7b228a7daf92206711140c79275206e74ac46b90

111

py

Python

website/export_mysql.py

rungao/data_collect

6ff71b9a3625da2bc3177c019ba60d5442536d23

[ "MIT" ]

1

2019-09-27T09:03:08.000Z

website/export_mysql.py

rungao/data_collect

6ff71b9a3625da2bc3177c019ba60d5442536d23

[ "MIT" ]

1

2021-06-02T00:22:47.000Z

website/export_mysql.py

rungao/data_collect

6ff71b9a3625da2bc3177c019ba60d5442536d23

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 将每日的数据进行处理，并导出到MYSQL中，并对未生成的数据进行记录，可选择进行重跑或者手动重跑 """

15.857143

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4

7b28b93098dbf1d22ebe71f78d1bae6a27a3b5db

228

py

Python

fizzbuzz/fizzbuzz.py

Murto/fizzbuzz-unittest

3eacd32b940b975fb859e30eb50435499994b900

[ "MIT" ]

null

fizzbuzz/fizzbuzz.py

Murto/fizzbuzz-unittest

3eacd32b940b975fb859e30eb50435499994b900

[ "MIT" ]

null

fizzbuzz/fizzbuzz.py

Murto/fizzbuzz-unittest

3eacd32b940b975fb859e30eb50435499994b900

[ "MIT" ]

null

def fizzbuzz(num): if (num >= 0 and num % 3 == 0 and num % 5 == 0): return "Fizz Buzz" if (num >= 0 and num % 3 == 0): return "Fizz" if (num >= 0 and num % 5 == 0): return "Buzz" if (num >= 0): return ""

22.8

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9

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0.111111

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0

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1

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1

0

null

0

1

0

4

9e3c1b0f6d0de06260526c2d85478752e0b7e648

209

py

Python

ExploitBot.py

cboulte1/BotFramework

d9d242f5b1cedd24cbbfac6f8ce3557eaff77723

[ "MIT" ]

null

ExploitBot.py

cboulte1/BotFramework

d9d242f5b1cedd24cbbfac6f8ce3557eaff77723

[ "MIT" ]

null

ExploitBot.py

cboulte1/BotFramework

d9d242f5b1cedd24cbbfac6f8ce3557eaff77723

[ "MIT" ]

null

from Bot import Bot _BotType = "ExploitBot" class ExploitBot(Bot): def __init__(self, dbURL, ccURL): super(ExploitBot, self).__init__(_BotType, dbURL, ccURL) def exploit(self): pass

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1

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false

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0

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0

null

0

1

0

1

0

1

0

4

9e3f045cab6cd8f473a1f4531b4f2be9265ef49d

108

py

Python

config.py

lowell-dev-club/flask-workshop

c8de6b0d65ca2746566bc1573d732ee8fef6f75a

[ "MIT" ]

null

config.py

lowell-dev-club/flask-workshop

c8de6b0d65ca2746566bc1573d732ee8fef6f75a

[ "MIT" ]

null

config.py

lowell-dev-club/flask-workshop

c8de6b0d65ca2746566bc1573d732ee8fef6f75a

[ "MIT" ]

null

# Import urandom from os from os import urandom # Random security key for testing SECRET_KEY = urandom(32)

18

33

0.777778

17

108

4.882353

0.647059

0.313253

0

0.022472

0.175926

108

5

34

21.6

0.910112

0.5

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

9e455adeba7ceff8e5bc9ad2d50ee8f5c1552181

1,086

py

Python

samples/test.stats.py

SinHouse/qm3

b2436ad813dd13c0c14bdee5d95f30436bc0a04d

[ "MIT" ]

null

samples/test.stats.py

SinHouse/qm3

b2436ad813dd13c0c14bdee5d95f30436bc0a04d

[ "MIT" ]

null

samples/test.stats.py

SinHouse/qm3

b2436ad813dd13c0c14bdee5d95f30436bc0a04d

[ "MIT" ]

null

import qm3.maths.stats import qm3.maths.matrix print( qm3.maths.stats.stats( [ 0.388, 0.389, 0.410 ] ) ) print( qm3.maths.stats.autocorrelation( range( 10 ) ) ) print( qm3.maths.stats.autocorrelation( range( 10 ), 2 ) ) print( qm3.maths.stats.sampling_ratio( range( 10 ) ) ) print( 80*"-" ) print( qm3.maths.stats.k_means( [ 7, 4, 10, 16, 13, 7, 3, 5, 7, 3, 13, 14, 12, 11, 10, 7, 7, 5, 3, 3 ], 2 )[0] ) x = [ [ 7, 4, 10, 16, 13 ], [ 7, 7, 5, 3, 3 ], [ 7, 3, 5, 7, 3 ], [ 13, 14, 12, 11, 10 ] ] qm3.maths.matrix.mprint( sum( x, [] ), 4, 5 ) o = qm3.maths.stats.PCA( x ) print( o.val ) qm3.maths.matrix.mprint( o.select( [ 0,2,3 ] ), 3, 5 ) qm3.maths.matrix.mprint( o.select( [ 0,2,3 ], False ), 4, 5 ) print( 80*"-" ) import numpy print( qm3.maths.stats.npk_means( numpy.array( [ 7, 4, 10, 16, 13, 7, 3, 5, 7, 3, 13, 14, 12, 11, 10, 7, 7, 5, 3, 3 ] ), 2 )[0] ) x = numpy.array( [ 7, 4, 10, 16, 13, 7, 7, 5, 3, 3, 7, 3, 5, 7, 3, 13, 14, 12, 11, 10 ] ).reshape( (4,5) ) o = qm3.maths.stats.npPCA( x ) print( o.val ) print( o.select( [ 1,2,3 ] ) ) print( o.select( [ 1,2,3 ], False ) )

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0.179701

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0.329451

0.296173

0.196339

0

0.198614

0.202578

1,086

25

130

43.44

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null

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null

0

1

0

4

9e95e9312137ab73712a58ad69c954afea086b34

129

py

Python

constants.py

MorbidMiyako/RankingBot

c89d8814ef94ab8e024f9ec439287d72455b6913

[ "MIT" ]

2

2020-06-03T20:19:33.000Z

2021-04-29T08:05:09.000Z

constants.py

MorbidMiyako/RankingBot

c89d8814ef94ab8e024f9ec439287d72455b6913

[ "MIT" ]

41

2020-06-09T11:11:37.000Z

2022-03-20T21:18:42.000Z

constants.py

MorbidMiyako/RankingBot

c89d8814ef94ab8e024f9ec439287d72455b6913

[ "MIT" ]

9

2020-05-27T19:04:55.000Z

2021-11-01T12:57:55.000Z

administrator_user_id = 403569083402158090 reaction_message_ids = [832010993542365184, 573059396259807232] current_year = 2021

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null

0

4

9eb3dbd4f7e6d9eaacdb2de92663cda704e1b4b5

55,916

py

Python

mi/tests/test_sector_team_months.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

5

2016-09-12T12:52:45.000Z

2020-03-24T14:43:13.000Z

mi/tests/test_sector_team_months.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

435

2016-10-18T12:51:39.000Z

2021-06-09T17:22:08.000Z

mi/tests/test_sector_team_months.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

2

2016-12-06T10:37:21.000Z

2017-02-22T17:27:43.000Z

import datetime import json from django.urls import reverse from freezegun import freeze_time from mi.models import FinancialYear from mi.tests.base_test_case import MiApiViewsBaseTestCase from mi.tests.test_sector_views import SectorTeamBaseTestCase from mi.utils import month_iterator @freeze_time(datetime.datetime(2017, 1, 31)) class SectorTeamMonthlyViewsTestCase(SectorTeamBaseTestCase): """ Tests covering SectorTeam Campaigns API endpoint """ url = reverse('mi:sector_team_months', kwargs={'team_id': 1}) + "?year=2016" expected_response = {} def setUp(self): super().setUp() self.expected_response = { "avg_time_to_confirm": 0.0, "hvcs": { "campaigns": [ 'HVC: E006', 'HVC: E019', 'HVC: E031', 'HVC: E072', 'HVC: E095', 'HVC: E115', 'HVC: E128', 'HVC: E160', 'HVC: E167', 'HVC: E191' ], "target": self.CAMPAIGN_TARGET * len(self.TEAM_1_HVCS) }, "months": [ { "date": "2016-04", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 2, "unconfirmed": 2 }, "value": { "confirmed": 0, "total": 200000, "unconfirmed": 200000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 2, "unconfirmed": 2 }, "value": { "confirmed": 0, "grand_total": 200000, "unconfirmed": 200000 } } }, "non_export": { "number": { "confirmed": 0, "total": 2, "unconfirmed": 2 }, "value": { "confirmed": 0, "total": 4600, "unconfirmed": 4600 } } } }, { "date": "2016-05", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 4, "unconfirmed": 4 }, "value": { "confirmed": 0, "total": 400000, "unconfirmed": 400000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 4, "unconfirmed": 4 }, "value": { "confirmed": 0, "grand_total": 400000, "unconfirmed": 400000 } } }, "non_export": { "number": { "confirmed": 0, "total": 4, "unconfirmed": 4 }, "value": { "confirmed": 0, "total": 9200, "unconfirmed": 9200 } } } }, { "date": "2016-06", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 5, "unconfirmed": 5 }, "value": { "confirmed": 0, "total": 500000, "unconfirmed": 500000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 5, "unconfirmed": 5 }, "value": { "confirmed": 0, "grand_total": 500000, "unconfirmed": 500000 } } }, "non_export": { "number": { "confirmed": 0, "total": 5, "unconfirmed": 5 }, "value": { "confirmed": 0, "total": 11500, "unconfirmed": 11500 } } } }, { "date": "2016-07", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 6, "unconfirmed": 6 }, "value": { "confirmed": 0, "total": 600000, "unconfirmed": 600000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 6, "unconfirmed": 6 }, "value": { "confirmed": 0, "grand_total": 600000, "unconfirmed": 600000 } } }, "non_export": { "number": { "confirmed": 0, "total": 6, "unconfirmed": 6 }, "value": { "confirmed": 0, "total": 13800, "unconfirmed": 13800 } } } }, { "date": "2016-08", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 7, "unconfirmed": 7 }, "value": { "confirmed": 0, "total": 700000, "unconfirmed": 700000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 7, "unconfirmed": 7 }, "value": { "confirmed": 0, "grand_total": 700000, "unconfirmed": 700000 } } }, "non_export": { "number": { "confirmed": 0, "total": 7, "unconfirmed": 7 }, "value": { "confirmed": 0, "total": 16100, "unconfirmed": 16100 } } } }, { "date": "2016-09", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 8, "unconfirmed": 8 }, "value": { "confirmed": 0, "total": 800000, "unconfirmed": 800000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 8, "unconfirmed": 8 }, "value": { "confirmed": 0, "grand_total": 800000, "unconfirmed": 800000 } } }, "non_export": { "number": { "confirmed": 0, "total": 8, "unconfirmed": 8 }, "value": { "confirmed": 0, "total": 18400, "unconfirmed": 18400 } } } }, { "date": "2016-10", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 9, "unconfirmed": 9 }, "value": { "confirmed": 0, "total": 900000, "unconfirmed": 900000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 9, "unconfirmed": 9 }, "value": { "confirmed": 0, "grand_total": 900000, "unconfirmed": 900000 } } }, "non_export": { "number": { "confirmed": 0, "total": 9, "unconfirmed": 9 }, "value": { "confirmed": 0, "total": 20700, "unconfirmed": 20700 } } } }, { "date": "2016-11", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 10, "unconfirmed": 10 }, "value": { "confirmed": 0, "total": 1000000, "unconfirmed": 1000000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 10, "unconfirmed": 10 }, "value": { "confirmed": 0, "grand_total": 1000000, "unconfirmed": 1000000 } } }, "non_export": { "number": { "confirmed": 0, "total": 10, "unconfirmed": 10 }, "value": { "confirmed": 0, "total": 23000, "unconfirmed": 23000 } } } }, { "date": "2016-12", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 11, "unconfirmed": 11 }, "value": { "confirmed": 0, "total": 1100000, "unconfirmed": 1100000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 11, "unconfirmed": 11 }, "value": { "confirmed": 0, "grand_total": 1100000, "unconfirmed": 1100000 } } }, "non_export": { "number": { "confirmed": 0, "total": 11, "unconfirmed": 11 }, "value": { "confirmed": 0, "total": 25300, "unconfirmed": 25300 } } } }, { "date": "2017-01", "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 12, "unconfirmed": 12 }, "value": { "confirmed": 0, "total": 1200000, "unconfirmed": 1200000 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 12, "unconfirmed": 12 }, "value": { "confirmed": 0, "grand_total": 1200000, "unconfirmed": 1200000 } } }, "non_export": { "number": { "confirmed": 0, "total": 12, "unconfirmed": 12 }, "value": { "confirmed": 0, "total": 27600, "unconfirmed": 27600 } } } } ], "name": "Financial & Professional Services" } def test_sector_team_month_1(self): """ Tests covering SectorTeam Campaigns API endpoint """ for i in range(4, 13): self._create_hvc_win(win_date=datetime.datetime(2016, i, 1)) # Add few random ones self._create_hvc_win(win_date=datetime.datetime(2017, 1, 1)) self._create_hvc_win(win_date=datetime.datetime(2016, 4, 1)) self._create_hvc_win(win_date=datetime.datetime(2016, 5, 1)) self.assertResponse() def test_sector_team_month_1_confirmed(self): """ Tests covering SectorTeam Campaigns API endpoint """ for i in range(4, 13): self._create_hvc_win(win_date=datetime.datetime(2016, i, 1), confirm=True, notify_date=datetime.datetime(2016, i, 1), response_date=datetime.datetime(2016, i, 2)) # Add few random ones self._create_hvc_win(win_date=datetime.datetime(2017, 1, 1), confirm=True, notify_date=datetime.datetime(2017, 1, 1), response_date=datetime.datetime(2017, 1, 2)) self._create_hvc_win(win_date=datetime.datetime(2016, 4, 1), confirm=True, notify_date=datetime.datetime(2016, 4, 1), response_date=datetime.datetime(2016, 4, 2)) self._create_hvc_win(win_date=datetime.datetime(2016, 5, 1), confirm=True, notify_date=datetime.datetime(2016, 5, 1), response_date=datetime.datetime(2016, 5, 2)) self.expected_response["avg_time_to_confirm"] = 1.0 self.expected_response["months"] = [ { "date": "2016-04", "totals": { "export": { "hvc": { "number": { "confirmed": 2, "total": 2, "unconfirmed": 0 }, "value": { "confirmed": 200000, "total": 200000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 2, "grand_total": 2, "unconfirmed": 0 }, "value": { "confirmed": 200000, "grand_total": 200000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 2, "total": 2, "unconfirmed": 0 }, "value": { "confirmed": 4600, "total": 4600, "unconfirmed": 0 } } } }, { "date": "2016-05", "totals": { "export": { "hvc": { "number": { "confirmed": 4, "total": 4, "unconfirmed": 0 }, "value": { "confirmed": 400000, "total": 400000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 4, "grand_total": 4, "unconfirmed": 0 }, "value": { "confirmed": 400000, "grand_total": 400000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 4, "total": 4, "unconfirmed": 0 }, "value": { "confirmed": 9200, "total": 9200, "unconfirmed": 0 } } } }, { "date": "2016-06", "totals": { "export": { "hvc": { "number": { "confirmed": 5, "total": 5, "unconfirmed": 0 }, "value": { "confirmed": 500000, "total": 500000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 5, "grand_total": 5, "unconfirmed": 0 }, "value": { "confirmed": 500000, "grand_total": 500000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 5, "total": 5, "unconfirmed": 0 }, "value": { "confirmed": 11500, "total": 11500, "unconfirmed": 0 } } } }, { "date": "2016-07", "totals": { "export": { "hvc": { "number": { "confirmed": 6, "total": 6, "unconfirmed": 0 }, "value": { "confirmed": 600000, "total": 600000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 6, "grand_total": 6, "unconfirmed": 0 }, "value": { "confirmed": 600000, "grand_total": 600000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 6, "total": 6, "unconfirmed": 0 }, "value": { "confirmed": 13800, "total": 13800, "unconfirmed": 0 } } } }, { "date": "2016-08", "totals": { "export": { "hvc": { "number": { "confirmed": 7, "total": 7, "unconfirmed": 0 }, "value": { "confirmed": 700000, "total": 700000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 7, "grand_total": 7, "unconfirmed": 0 }, "value": { "confirmed": 700000, "grand_total": 700000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 7, "total": 7, "unconfirmed": 0 }, "value": { "confirmed": 16100, "total": 16100, "unconfirmed": 0 } } } }, { "date": "2016-09", "totals": { "export": { "hvc": { "number": { "confirmed": 8, "total": 8, "unconfirmed": 0 }, "value": { "confirmed": 800000, "total": 800000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 8, "grand_total": 8, "unconfirmed": 0 }, "value": { "confirmed": 800000, "grand_total": 800000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 8, "total": 8, "unconfirmed": 0 }, "value": { "confirmed": 18400, "total": 18400, "unconfirmed": 0 } } } }, { "date": "2016-10", "totals": { "export": { "hvc": { "number": { "confirmed": 9, "total": 9, "unconfirmed": 0 }, "value": { "confirmed": 900000, "total": 900000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 9, "grand_total": 9, "unconfirmed": 0 }, "value": { "confirmed": 900000, "grand_total": 900000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 9, "total": 9, "unconfirmed": 0 }, "value": { "confirmed": 20700, "total": 20700, "unconfirmed": 0 } } } }, { "date": "2016-11", "totals": { "export": { "hvc": { "number": { "confirmed": 10, "total": 10, "unconfirmed": 0 }, "value": { "confirmed": 1000000, "total": 1000000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 10, "grand_total": 10, "unconfirmed": 0 }, "value": { "confirmed": 1000000, "grand_total": 1000000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 10, "total": 10, "unconfirmed": 0 }, "value": { "confirmed": 23000, "total": 23000, "unconfirmed": 0 } } } }, { "date": "2016-12", "totals": { "export": { "hvc": { "number": { "confirmed": 11, "total": 11, "unconfirmed": 0 }, "value": { "confirmed": 1100000, "total": 1100000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 11, "grand_total": 11, "unconfirmed": 0 }, "value": { "confirmed": 1100000, "grand_total": 1100000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 11, "total": 11, "unconfirmed": 0 }, "value": { "confirmed": 25300, "total": 25300, "unconfirmed": 0 } } } }, { "date": "2017-01", "totals": { "export": { "hvc": { "number": { "confirmed": 12, "total": 12, "unconfirmed": 0 }, "value": { "confirmed": 1200000, "total": 1200000, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 12, "grand_total": 12, "unconfirmed": 0 }, "value": { "confirmed": 1200000, "grand_total": 1200000, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 12, "total": 12, "unconfirmed": 0 }, "value": { "confirmed": 27600, "total": 27600, "unconfirmed": 0 } } } } ] self.assertResponse() def _test_sector_team_month_1_some_wins_out_of_date(self): """ Check that out of date, wins that were added with date that is not within current financial year are not accounted for """ for i in list(range(3, 13)) + [4, 5]: self._create_hvc_win(win_date=datetime.datetime(2016, i, 1)) # add few more random financial year wins, both in and out for i in [6, 12]: self._create_hvc_win(win_date=datetime.datetime(2015, i, 1)) self._create_hvc_win(win_date=datetime.datetime(2017, 1, 1)) for i in [4, 8]: self._create_hvc_win(win_date=datetime.datetime(2017, i, 1)) self.assertResponse() def test_months_no_wins(self): """ Test, when there are no wins, that the response still spread across all the months from starting from financial start till today (frozen date), albeit all 0 numbers """ def _setup_empty_months_response(): """ Helper to build response """ self.expected_response["months"] = [] fin_year = FinancialYear.objects.get(id=2016) for item in month_iterator(fin_year.start, datetime.datetime(2017, 1, 31)): month_str = '{:d}-{:02d}'.format(*item) month_dict = { "date": month_str, "totals": { "export": { "hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "non_hvc": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } }, "totals": { "number": { "confirmed": 0, "grand_total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "grand_total": 0, "unconfirmed": 0 } } }, "non_export": { "number": { "confirmed": 0, "total": 0, "unconfirmed": 0 }, "value": { "confirmed": 0, "total": 0, "unconfirmed": 0 } } } } self.expected_response["months"].append(month_dict) _setup_empty_months_response() self.assertResponse() def test_number_of_months_in_april(self): """ Check that there will only be one month aggregated data when we are in April, financial year start - with one win """ with freeze_time(self.fin_start_date): self._create_hvc_win(win_date=datetime.datetime(2016, 4, 1)) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 1) def test_number_of_months_in_april_confirmed(self): """ Check that there will only be one month aggregated data when we are in April, financial year start - with one confirmed win """ with freeze_time(self.fin_start_date): self._create_hvc_win(win_date=datetime.datetime(2016, 4, 1), confirm=True) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 1) def test_number_of_months_in_april_no_wins(self): """ Check that there will only be one month aggregated data when we are in April, financial year start - with no wins """ with freeze_time(self.fin_start_date): api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 1) def test_number_of_months_in_march_with_wins(self): """ Check that there will be 12 months aggregated data when we are in March, financial year end - with wins all the way """ with freeze_time(self.fin_end_date): for i in range(4, 13): self._create_hvc_win(win_date=datetime.datetime(2016, i, 1)) for i in range(1, 3): self._create_hvc_win(win_date=datetime.datetime(2017, i, 1)) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 12) def test_number_of_months_in_march_with_confirmed_wins(self): """ Check that there will be 12 months aggregated data when we are in March, financial year end - with confirmed wins all the way """ with freeze_time(self.fin_end_date): for i in range(4, 13): self._create_hvc_win(win_date=datetime.datetime(2016, i, 1), confirm=True) for i in range(1, 3): self._create_hvc_win(win_date=datetime.datetime(2017, i, 1), confirm=True) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 12) def test_number_of_months_in_march_with_no_wins(self): """ Check that there will be 12 months aggregated data when we are in March, financial year end - with no wins """ with freeze_time(self.fin_end_date): api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 12) def test_number_of_months_in_april_non_hvc(self): """ Check that there will only be one month aggregated data when we are in April, financial year start - with one non hvc win """ with freeze_time(self.fin_start_date): self._create_non_hvc_win(win_date=datetime.datetime(2016, 4, 1)) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 1) def test_number_of_months_in_march_with_wins_non_hvc(self): """ Check that there will be 12 months aggregated data when we are in March, financial year end - with non hvc wins all the way """ with freeze_time(self.fin_end_date): for i in range(4, 13): self._create_non_hvc_win(win_date=datetime.datetime(2016, i, 1)) for i in range(1, 3): self._create_non_hvc_win(win_date=datetime.datetime(2017, i, 1)) api_response = self._get_api_response(self.url) response_decoded = json.loads(api_response.content.decode("utf-8"))["results"] self.assertEqual(len(response_decoded["months"]), 12)

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7b730e792c5fc9bb12ff92990e0c69dd2b9ca51e

230

py

Python

App/admin.py

tacha1/E-platform

ad1fd7223e39c430606035f8aa0ecff33f45ff51

[ "MIT" ]

null

App/admin.py

tacha1/E-platform

ad1fd7223e39c430606035f8aa0ecff33f45ff51

[ "MIT" ]

null

App/admin.py

tacha1/E-platform

ad1fd7223e39c430606035f8aa0ecff33f45ff51

[ "MIT" ]

null

from django.contrib import admin from .models import service,Profile,Comments,Rating # Register your models here. admin.site.register(service) admin.site.register(Profile) admin.site.register(Comments) admin.site.register(Rating)

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7b8807521ca49c220e3f3ce9db799db3f4c155c7

346

py

Python

webapp/app/main/views.py

likit/medtech-webboard

fd52ce235de8dfbd1b6bacdd84ad12a6af8e564f

[ "MIT" ]

null

webapp/app/main/views.py

likit/medtech-webboard

fd52ce235de8dfbd1b6bacdd84ad12a6af8e564f

[ "MIT" ]

null

webapp/app/main/views.py

likit/medtech-webboard

fd52ce235de8dfbd1b6bacdd84ad12a6af8e564f

[ "MIT" ]

null

from . import main from flask import render_template # from ..models import Test @main.route('/') def index(): return render_template('index.html') # @main.route('/test/<test_id>', methods=['GET', 'POST']) # def test(test_id): # # test = Test.query.filter_by(id=test_id).first() # # return render_template('test.html', test=test)

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4

c89424a56ad9b5a7e5f9bae30acc769bdd7f6669

532

py

Python

src/main/python/org/broadinstitute/hellbender/vqsr_cnn/vqsr_cnn/__init__.py

sunboy0523/gatk

f06971ac0824ad7da38b878334df377c30457a23

[ "BSD-3-Clause" ]

1,273

2015-10-13T18:11:50.000Z

2022-03-28T09:25:13.000Z

src/main/python/org/broadinstitute/hellbender/vqsr_cnn/vqsr_cnn/__init__.py

sunboy0523/gatk

f06971ac0824ad7da38b878334df377c30457a23

[ "BSD-3-Clause" ]

6,471

2015-10-08T02:31:06.000Z

2022-03-31T17:55:25.000Z

src/main/python/org/broadinstitute/hellbender/vqsr_cnn/vqsr_cnn/__init__.py

sunboy0523/gatk

f06971ac0824ad7da38b878334df377c30457a23

[ "BSD-3-Clause" ]

598

2015-10-14T19:16:14.000Z

2022-03-29T10:03:03.000Z

from .models import build_2d_annotation_model_from_args, build_1d_annotation_model_from_args from .models import build_default_1d_annotation_model, build_default_2d_annotation_model from .models import start_session_get_args_and_model, train_model_from_generators from .tensor_maps import get_tensor_channel_map_from_args, tensor_shape_from_args from .arguments import parse_args, weight_path_from_args, annotations_from_args from .inference import score_and_write_batch from .plots import plot_roc_per_class from .defines import *

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null

0

1

0

1

0

1

0

4

c8a9e87964cd19570b120b7055723be4717aa8c6

231

py

Python

conta/views.py

Danieli-Bauer/djangolivre

d06289cebe704463c0e0a639a93ff8debc73d687

[ "MIT" ]

null

conta/views.py

Danieli-Bauer/djangolivre

d06289cebe704463c0e0a639a93ff8debc73d687

[ "MIT" ]

1

2021-12-01T23:28:54.000Z

conta/views.py

Danieli-Bauer/djangolivre

d06289cebe704463c0e0a639a93ff8debc73d687

[ "MIT" ]

4

2021-11-26T21:56:04.000Z

2021-11-30T23:35:43.000Z

from rest_framework import viewsets from conta.models import Conta from conta.serializer import ContaSerializer class ContaViewSet(viewsets.ModelViewSet): queryset = Conta.objects.all() serializer_class = ContaSerializer

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0

1

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1

0

4

c8bd639ac27620fb65a1e00ad4f5d53bf87321cb

125

py

Python

optalg/line_search/__init__.py

ShkalikovOleh/OptAlg

03399eee50203dcba834a4d9ab48751142a6de2b

[ "MIT" ]

null

optalg/line_search/__init__.py

ShkalikovOleh/OptAlg

03399eee50203dcba834a4d9ab48751142a6de2b

[ "MIT" ]

3

2021-01-31T09:34:50.000Z

2021-02-21T09:01:42.000Z

optalg/line_search/__init__.py

ShkalikovOleh/OptAlg

03399eee50203dcba834a4d9ab48751142a6de2b

[ "MIT" ]

1

2022-03-31T14:02:20.000Z

from .fixed import FixedStep from .armijo_backtracking import ArmijoBacktracking from .bisection_wolfe import BisectionWolfe

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4

c8bf672be62bed00b064c527998594baf89e7710

6,821

py

Python

src/niveristand/clientapi/_factory.py

arnoldcsorvasi/niveristand-python

39e5593e10bb372c801d6fa521e8fc166dab8cfe

[ "MIT" ]

6

2018-07-04T10:59:43.000Z

2022-03-24T13:34:33.000Z

src/niveristand/clientapi/_factory.py

arnoldcsorvasi/niveristand-python

39e5593e10bb372c801d6fa521e8fc166dab8cfe

[ "MIT" ]

14

2018-11-05T20:05:33.000Z

2022-03-10T12:54:58.000Z

src/niveristand/clientapi/_factory.py

arnoldcsorvasi/niveristand-python

39e5593e10bb372c801d6fa521e8fc166dab8cfe

[ "MIT" ]

15

2018-07-04T07:58:49.000Z

2022-02-22T16:35:26.000Z

from niveristand.clientapi._dotnetclasswrapperbase import _DotNetClassWrapperBase from niveristand.clientapi._stimulusprofilesession import _StimulusProfileSession from niveristand.clientapi._workspace2 import _Workspace2 from NationalInstruments.VeriStand.ClientAPI import Factory as FactoryDotNet # noqa: I100 class _Factory(_DotNetClassWrapperBase): """ Provides access to the NI VeriStand system and the various interfaces available in the Execution API. Any code you write using this API must include a Factory constructor to access NI VeriStand. """ def __init__(self): super(_Factory, self).__init__(FactoryDotNet()) def get_existing_stimulus_profile_session(self, gateway_ip_address, session_id): """ Gets an instance that implements StimulusProfileSession interface. The instance can be used to automate the execution of an already deployed Stimulus Profile Session. Args: gateway_ip_address(str): Specifies the IP address of the VeriStand Gateway. session_id(str): Specifies the Session ID of the deployed Stimulus Profile Session. Returns: niveristand.clientapi._stimulusprofilesession._StimulusProfileSession : A StimulusProfileSession instance """ pass def get_new_stimulus_profile_session(self, gateway_ip_address, name, sequences, description): """ Gets an instance that implements StimulusProfileSession interface. The instance can be used to automate the execution of an already deployed Stimulus Profile Session. Args: gateway_ip_address(str): Specifies the IP address of the VeriStand Gateway. name(str): Specifies the name of the Stimulus Profile Session. sequences([niveristand.clientapi._sequencecallinfo._SequenceCallInfo]): Specifies the sequences to execute in the Stimulus Profile Session. description(str): Specifies a description for the Stimulus Profile Session. Returns: niveristand.clientapi._stimulusprofilesession._StimulusProfileSession : A StimulusProfileSession instance. """ return _StimulusProfileSession( self._dot_net_instance.GetIStimulusProfileSession( gateway_ip_address, name, [seq_call_info.dot_net_instance for seq_call_info in sequences], description)) def get_workspace2(self, gateway_ip_address): """ Gets an instance that implements the Workspace2 interface. The instance can be used use to manage connections between the VeriStand Gateway and one or more targets, to start and stop data logging operations, and to configure events for error and status notifications. This method allows you to specify the IP address of the VeriStand Gateway. Args: gateway_ip_address (str): Specifies the IP address of the VeriStand Gateway. Returns: niveristand.clientapi._workspace2._Workspace2: A Workspace2 instance. """ workspace2 = self._dot_net_instance.GetIWorkspace2(gateway_ip_address) return _Workspace2(workspace2) def get_localhost_workspace2(self): """ Gets an instance that implements the Workspace2 interface. The instance can be used to manage connections between the VeriStand Gateway and one or more targets, to start and stop data logging operations, and to configure events for error and status notifications. This method assumes that the VeriStand Gateway is running on the localhost. Returns: niveristand.clientapi._workspace2._Workspace2: A Workspace2 instance. """ workspace2 = self._dot_net_instance.GetIWorkspace2() return _Workspace2(workspace2) class _DefaultGatewayFactory(object): """ Provides access to the NI VeriStand system and the various interfaces available in the Execution API. All the instances that are created by this class are using the gateway at a default ip address. Any code you write using this API must include a Factory constructor to access NI VeriStand. """ _default_gateway_ip_address = "" _default_workspace = None @classmethod def set_default_gateway_ip_address(cls, gateway_ip_address): """ Sets the default ip address of the gateway. This ip address is to be used by work sessions that do not explicitly specify it for every operation. Args: gateway_ip_address (str): The default ip address of the VeriStand gateway. """ cls._default_gateway_ip_address = gateway_ip_address cls._default_gateway = _Factory().get_workspace2(gateway_ip_address) @classmethod def get_default_gateway_ip_address(cls): """ Gets the default ip address of the gateway. This ip address is to be used by default by work sessions that do not explicitly specify it for every operation. Returns: str: The default ip adderess of the VeriStand gateway. """ return cls._default_gateway_ip_address @classmethod def get_new_stimulus_profile_session(cls, name, sequences, description): """ Gets an instance that implements StimulusProfileSession interface. The instance can be used to automate the execution of an already deployed Stimulus Profile Session. Args: name(str): Specifies the name of the Stimulus Profile Session. sequences([niveristand.clientapi._sequencecallinfo._SequenceCallInfo]): Specifies the sequences to execute in the Stimulus Profile Session. description(str): Specifies a description for the Stimulus Profile Session. Returns: niveristand.clientapi._stimulusprofilesession._StimulusProfileSession : A StimulusProfileSession instance. """ return _Factory().\ get_new_stimulus_profile_session(cls._default_gateway_ip_address, name, sequences, description) @classmethod def get_workspace2(cls): """ Gets an instance that implements the Workspace2 interface. The instance can be used use to manage connections between the VeriStand Gateway and one or more targets, to start and stop data logging operations, and to configure events for error and status notifications. This method allows you to specify the IP address of the VeriStand Gateway. Returns: niveristand.clientapi._workspace2._Workspace2: A Workspace2 instance. """ if cls._default_workspace is None: cls._default_workspace = _Factory().get_workspace2("") return cls._default_workspace

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4

c8cda964d5808fb137991862f02688c70bce37d5

289

py

Python

src/services/__init__.py

antkrit/chat

5be816d81e959e6289876900a8b2918c0e741d58

[ "MIT" ]

null

src/services/__init__.py

antkrit/chat

5be816d81e959e6289876900a8b2918c0e741d58

[ "MIT" ]

null

src/services/__init__.py

antkrit/chat

5be816d81e959e6289876900a8b2918c0e741d58

[ "MIT" ]

null

# flake8: noqa F401 """This package contains modules defining models services. Modules: - `chat_service.py`: defines chat service - `message_service.py`: defines message service """ from src.services.chat_service import ChatService from src.services.message_service import MessageService

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0

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1

0

4

c8cf37cd6d8f8906f64db6873023dcef5b435017

35

py

Python

xentica/utils/__init__.py

a5kin/xentica

ca08fac9f85af71c9d6d98545a33d50323f851b3

[ "MIT" ]

23

2018-02-24T23:38:54.000Z

2022-02-16T15:20:46.000Z

xentica/utils/__init__.py

a5kin/xentica

ca08fac9f85af71c9d6d98545a33d50323f851b3

[ "MIT" ]

39

2017-11-20T21:54:30.000Z

2020-09-01T12:43:57.000Z

xentica/utils/__init__.py

a5kin/xentica

ca08fac9f85af71c9d6d98545a33d50323f851b3

[ "MIT" ]

4

2019-04-23T03:56:44.000Z

2021-05-14T11:12:54.000Z

"""The collection of utilities."""

17.5

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35

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null

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null

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1

0

4

c8f9041c3d2ac386eddb3a1c20b43936905e0278

534

py

Python

twint/__init__.py

B3QL/twint

521eaf94b44443fe76973234c66069a74b9d79c7

[ "MIT" ]

1

2021-12-11T16:20:09.000Z

twint/__init__.py

B3QL/twint

521eaf94b44443fe76973234c66069a74b9d79c7

[ "MIT" ]

null

twint/__init__.py

B3QL/twint

521eaf94b44443fe76973234c66069a74b9d79c7

[ "MIT" ]

1

2018-10-25T10:38:08.000Z

''' TWINT - Twitter Intelligence Tool (formerly known as Tweep). See wiki on Github for in-depth details. https://github.com/haccer/twint/wiki Licensed under MIT License Copyright (c) 2018 Cody Zacharias ''' from .config import Config from . import run #import logging #logger = logging.getLogger() #handler = logging.FileHandler('twint.log') #formatter = logging.Formatter( # '%(asctime)s %(name)-12s %(levelname)-8s %(message)s') #handler.setFormatter(formatter) #logger.addHandler(handler) #logger.setLevel(logging.DEBUG)

26.7

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0.11985

534

20

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0

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true

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null

0

1

0

null

0

1

0

1

0

1

0

4

cdcb3a183aa6e6d3af2a696843804e08311a4bc3

607

py

Python

python_modules/dagster/dagster/core/definitions/executable.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/core/definitions/executable.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

python_modules/dagster/dagster/core/definitions/executable.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

from abc import ABCMeta, abstractmethod import six class ExecutablePipeline(six.with_metaclass(ABCMeta)): @abstractmethod def get_definition(self): pass @abstractmethod def build_sub_pipeline(self, solid_subset): pass class InMemoryExecutablePipeline(ExecutablePipeline, object): def __init__(self, pipeline_def): self._pipeline_def = pipeline_def def get_definition(self): return self._pipeline_def def build_sub_pipeline(self, solid_subset): return InMemoryExecutablePipeline(self._pipeline_def.build_sub_pipeline(solid_subset))

24.28

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0.132251

0.157773

0

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0

null

0

null

0

1

0

1

0

1

0

4

a8137a5266a38dfdee22e6b13768d7a28deecef6

147

py

Python

lastpass/errors.py

djvickery/ulauncher_lastpass_fix

a4a1b487e8016d533f7c55a083615c51f84c6904

[ "MIT" ]

6

2020-06-28T04:30:24.000Z

2021-05-27T16:32:20.000Z

lastpass/errors.py

djvickery/ulauncher_lastpass_fix

a4a1b487e8016d533f7c55a083615c51f84c6904

[ "MIT" ]

4

2020-06-30T14:48:56.000Z

2021-06-03T15:26:52.000Z

lastpass/errors.py

djvickery/ulauncher_lastpass_fix

a4a1b487e8016d533f7c55a083615c51f84c6904

[ "MIT" ]

3

2020-10-03T03:50:15.000Z

2021-07-06T19:23:10.000Z

class LastPassError(Exception): def __init__(self, output): self.output = output class CliNotInstalledException(Exception): pass

18.375

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0.721088

14

147

7.285714

0.642857

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7

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0

4

a82a76d2186514c7fd1ad1f5f5fede8354e11151

64

py

Python

Archived_Obsoleted/__init__.py

tccao/TwitterCrawlerAnalysis

4ae6258648c1cbbcf23b6e219d9fc4c9e3c24adc

[ "MIT" ]

null

Archived_Obsoleted/__init__.py

tccao/TwitterCrawlerAnalysis

4ae6258648c1cbbcf23b6e219d9fc4c9e3c24adc

[ "MIT" ]

null

Archived_Obsoleted/__init__.py

tccao/TwitterCrawlerAnalysis

4ae6258648c1cbbcf23b6e219d9fc4c9e3c24adc

[ "MIT" ]

null

__all__ = ["auth", "connect", "create_url","headers","imports"]

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0

1

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null

0

1

0

null

0

1

0

1

0

4

b53b90750a01b8607ac49177a02c92828df8d58b

805

py

Python

tests/continuous_tests/interval_tests/test_contains_interval.py

lycantropos/topo

7d777468c98b31533c5e050c4425e528376b35b4

[ "MIT" ]

null

tests/continuous_tests/interval_tests/test_contains_interval.py

lycantropos/topo

7d777468c98b31533c5e050c4425e528376b35b4

[ "MIT" ]

2

2019-02-22T13:14:30.000Z

2019-04-08T18:28:39.000Z

tests/continuous_tests/interval_tests/test_contains_interval.py

lycantropos/topo

7d777468c98b31533c5e050c4425e528376b35b4

[ "MIT" ]

null

from tests.utils import implication from topo.continuous import Interval def test_antisymmetry(interval: Interval, other_interval: Interval) -> None: assert implication(interval.overlaps_interval(other_interval) and other_interval.overlaps_interval(interval), interval == other_interval) def test_reflexivity(interval: Interval) -> None: assert interval.overlaps_interval(interval) def test_transitivity(interval: Interval, other_interval: Interval, another_interval: Interval) -> None: assert implication(interval.overlaps_interval(other_interval) and other_interval.overlaps_interval(another_interval), interval.overlaps_interval(another_interval))

38.333333

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805

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0.394786

0

0.244721

805

20

79

40.25

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0

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0

null

1

0

null

0

1

0

4

b5714ed930200c5f58a3340c1ce33f4333cdc511

1,144

py

Python

dev/Gems/CloudGemMetric/v1/AWS/common-code/Constant/metric_error_code.py

brianherrera/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

[ "AML" ]

1,738

2017-09-21T10:59:12.000Z

2022-03-31T21:05:46.000Z

dev/Gems/CloudGemMetric/v1/AWS/common-code/Constant/metric_error_code.py

olivier-be/lumberyard

3d688932f919dbf5821f0cb8a210ce24abe39e9e

[ "AML" ]

427

2017-09-29T22:54:36.000Z

2022-02-15T19:26:50.000Z

dev/Gems/CloudGemMetric/v1/AWS/common-code/Constant/metric_error_code.py

olivier-be/lumberyard

3d688932f919dbf5821f0cb8a210ce24abe39e9e

[ "AML" ]

671

2017-09-21T08:04:01.000Z

2022-03-29T14:30:07.000Z

# # All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or # its licensors. # # For complete copyright and license terms please see the LICENSE at the root of this # distribution (the "License"). All use of this software is governed by the License, # or, if provided, by the license below or the license accompanying this file. Do not # remove or modify any license notices. This file is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # class Error(object): @staticmethod def exceeded_maximum_metric_capacity(): return "ErrorExceededMaximumMetricCapacity" @staticmethod def missing_attribute(): return "ErrorMissingAttributes" @staticmethod def is_not_lower(): return "ErrorNotLowerCase" @staticmethod def out_of_order(): return "ErrorOutOfOrder" @staticmethod def unable_to_sort(): return "ErrorNotSorted" @staticmethod def is_null(): return "ErrorNullValue" @staticmethod def empty_dataframe(): return "ErrorEmptyDataFrame"

27.902439

85

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1,144

5.830882

0.588235

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0.030265

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0.229895

1,144

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86

27.902439

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0

null

0

null

0

1

0

1

0

4

b57a183d7a4ef5837c3fcb829bac96c34e009b3a

319

py

Python

lib/util/singleton.py

dstodev/Glass

a80e625e6f1451e58443e153fffc133e288c1b99

[ "MIT" ]

null

lib/util/singleton.py

dstodev/Glass

a80e625e6f1451e58443e153fffc133e288c1b99

[ "MIT" ]

null

lib/util/singleton.py

dstodev/Glass

a80e625e6f1451e58443e153fffc133e288c1b99

[ "MIT" ]

null

class Singleton(type): def __new__(meta, name, bases, attrs): attrs["_instance"] = None return super().__new__(meta, name, bases, attrs) def __call__(cls, *args, **kwargs): if not cls._instance: cls._instance = super().__call__(*args, **kwargs) return cls._instance

31.9

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319

4.702703

0.513514

0.189655

0.126437

0.183908

0.241379

0

0.253919

319

9

62

35.444444

0.731092

0

0.028213

0

1

0.25

false

0

0.625

0

null

0

1

0

1

0

null

0

1

0

1

0

4

a92d28e9a3059eb85ffe162236d3bdb3ad34645c

281

py

Python

tests/pineapple_core/test_types.py

societe-generale/Pineapple

2aad2fbd0d7e231608d1d02bce45a28cd22f82a8

[ "MIT" ]

null

tests/pineapple_core/test_types.py

societe-generale/Pineapple

2aad2fbd0d7e231608d1d02bce45a28cd22f82a8

[ "MIT" ]

null

tests/pineapple_core/test_types.py

societe-generale/Pineapple

2aad2fbd0d7e231608d1d02bce45a28cd22f82a8

[ "MIT" ]

null

import pytest from pineapple_core.core.types import PineappleType, Any def test_that_pineapple_type_is_abstract(): with pytest.raises(NotImplementedError): PineappleType().check(22) def test_that_pineapple_type_is_printable(): assert Any().__repr__() == "Any"

21.615385

56

0.765125

35

281

5.714286

0.628571

0.07

0.11

0.2

0.26

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0.008264

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281

12

57

23.416667

0.818182

0

0.010676

0

0.142857

1

0.285714

true

0

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0

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0.142857

0

null

0

1

0

null

0

1

0

1

0

4

a9550a9421eead6979dee28b6a1ab28d69045ede

207

py

Python

assistant/src/app/bot/commands/utils.py

iterlace/knu_assistant

1a0139a04c80e63b5a698a86fc2cf446a3f3cfbb

[ "BSD-2-Clause" ]

1

2021-01-28T11:06:05.000Z

assistant/src/app/bot/commands/utils.py

iterlace/knu_assistant

1a0139a04c80e63b5a698a86fc2cf446a3f3cfbb

[ "BSD-2-Clause" ]

null

assistant/src/app/bot/commands/utils.py

iterlace/knu_assistant

1a0139a04c80e63b5a698a86fc2cf446a3f3cfbb

[ "BSD-2-Clause" ]

null

from telegram import Update from telegram.ext import CallbackContext from app.bot.dictionaries import states def end(update: Update, ctx: CallbackContext): ctx.user_data.clear() return states.END

20.7

46

0.782609

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207

5.75

0.607143

0.149068

0

0.149758

207

9

47

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false

0

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0

null

0

1

0

1

0

4

a98c9e18a8945ed8b8b0e2e77b08e2d7b128cb35

241

py

Python

tests/unit/orchestrate/pods/container/env-checker/executor.py

hirakjyoti08/jina

437943dd2dab87e22b0662b2081f13250918ec01

[ "Apache-2.0" ]

1

2022-02-09T14:14:06.000Z

tests/unit/orchestrate/pods/container/env-checker/executor.py

hirakjyoti08/jina

437943dd2dab87e22b0662b2081f13250918ec01

[ "Apache-2.0" ]

1

2022-03-08T18:46:28.000Z

2022-03-08T18:47:24.000Z

tests/unit/orchestrate/pods/container/env-checker/executor.py

hirakjyoti08/jina

437943dd2dab87e22b0662b2081f13250918ec01

[ "Apache-2.0" ]

1

2022-03-17T04:50:07.000Z

import os from jina import Executor class EnvChecker(Executor): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) assert os.environ['key1'] == 'value1' assert os.environ['key2'] == 'value2'

24.1

45

0.626556

28

241

5.107143

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0.20979

0

0.021164

0.215768

241

9

46

26.777778

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false

0

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0

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1

0

1

0

null

0

1

0

4

a99d10c9a639593d1a7d5955dd3c943881272b3c

147

py

Python

src/controllers/__init__.py

OscarPedaVendere/sc2MultiAgentES

54df34eb94f00294c2bcd1ac5a0c14386c0bbceb

[ "Apache-2.0" ]

null

src/controllers/__init__.py

OscarPedaVendere/sc2MultiAgentES

54df34eb94f00294c2bcd1ac5a0c14386c0bbceb

[ "Apache-2.0" ]

4

2021-03-19T03:43:34.000Z

2022-01-13T01:39:12.000Z

src/controllers/__init__.py

OscarPedaVendere/sc2MultiAgentES

54df34eb94f00294c2bcd1ac5a0c14386c0bbceb

[ "Apache-2.0" ]

null

REGISTRY = {} from .basic_controller import BasicMAC from .es_controller import EsMAC REGISTRY["basic_mac"] = BasicMAC REGISTRY["es_mac"] = EsMAC

21

38

0.77551

19

147

5.789474

0.473684

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0

0.122449

147

7

39

21

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1

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false

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1

0

null

1

0

1

0

null

0

1

0

4

a99f8a9d5a3ba986f8442be760d78c7011c3b74b

85

py

Python

staffs/__init__.py

kvklink/complete-OMR-pipeline

ca1a2890f8d5d716047efaca764b639523a984cb

[ "MIT" ]

1

2021-03-21T09:46:28.000Z

staffs/__init__.py

kvklink/complete-OMR-pipeline

ca1a2890f8d5d716047efaca764b639523a984cb

[ "MIT" ]

null

staffs/__init__.py

kvklink/complete-OMR-pipeline

ca1a2890f8d5d716047efaca764b639523a984cb

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Jun 13 17:56:31 2020 @author: super """

10.625

35

0.564706

14

85

3.428571

1

0

0.19403

0.211765

85

7

36

12.142857

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0.870588

0

null

0

null

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null

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null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

8d33bd56d431af44c202c524552f14e718567cec

24

py

Python

homeassistant/components/yr/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

homeassistant/components/yr/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

47

2020-07-23T07:14:33.000Z

2022-03-31T06:01:46.000Z

homeassistant/components/yr/__init__.py

klauern/home-assistant-core

c18ba6aec0627e6afb6442c678edb5ff2bb17db6

[ "Apache-2.0" ]

10

2018-01-01T00:12:51.000Z

2021-12-21T23:08:05.000Z

"""The yr component."""

12

23

0.583333

3

24

4.666667

1

0

0.125

24

1

24

0.666667

0.708333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

8d6254db6ad172651e1a0263a3fa199c1feb2efd

814

py

Python

Variado_GeekUniversity/guppe/antes_apos_hooks.py

PauloFTeixeira/curso_python

9040c7dcc5262620f6330bb9637710bb8899bc6b

[ "MIT" ]

null

Variado_GeekUniversity/guppe/antes_apos_hooks.py

PauloFTeixeira/curso_python

9040c7dcc5262620f6330bb9637710bb8899bc6b

[ "MIT" ]

null

Variado_GeekUniversity/guppe/antes_apos_hooks.py

PauloFTeixeira/curso_python

9040c7dcc5262620f6330bb9637710bb8899bc6b

[ "MIT" ]

null

""" Unittest - Antes e após hooks ---- hooks - são os testes em si. Ou seja, a execução dos testes. ---- setup() -> é excutado antes de cada método de teste. É util para criarmos instâncias de objetos e outros dados; tearDown() -> é executado ao final de cada método de teste. É útil para excluir dados ou fechar conexões com bancos de dados. """ import unittest class ModuloTest(unittest.TestCase): def setUp(self): # Configurações do setUp() pass def test_primeiro(self): # setUp vai rodar antes do teste # tearDown() vai rodar após o teste. pass def test_segundo(self): # setUp vai rodar antes do teste # tearDown() vai rodar após o teste. pass def tearDown(self): # Configurações do tearDown() pass

19.853659

111

0.641278

112

814

4.642857

0.482143

0.061538

0.046154

0.053846

0.315385

0.238462

0

0.281327

814

40

112

20.35

0.888889

0.649877

0

0.4

0

0.05

0

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0.4

false

0.4

0.1

0

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0

null

0

null

0

1

0

1

0

1

0

1

0

4

8d88818def71f941f561a8dc6245ac0257424355

503

py

Python

09_bluetooth/OBEX.py

mumbo-pro/network-penetration

30fcc70a0bdb094e2339951785d4d72b0373a71f

[ "MIT" ]

3

2020-07-25T13:36:02.000Z

2021-06-03T19:59:13.000Z

09_bluetooth/OBEX.py

mumbo-pro/understanding-network-hacks

30fcc70a0bdb094e2339951785d4d72b0373a71f

[ "MIT" ]

null

09_bluetooth/OBEX.py

mumbo-pro/understanding-network-hacks

30fcc70a0bdb094e2339951785d4d72b0373a71f

[ "MIT" ]

2

2019-07-12T10:04:23.000Z

2019-07-18T17:57:59.000Z

#!/usr/bin/python 2 3 import sys 4 from os.path import basename 5 from lightblue.obex import OBEXClient 6 7 8 if len(sys.argv) < 4: 9 print sys.argv[0] + ": <btaddr> <channel> <file>" 10 sys.exit(0) 11 12 btaddr = sys.argv[1] 13 channel = int(sys.argv[2]) 14 my_file = sys.argv[3] 15 16 print "Sending %s to %s on channel %d" % (my_file, 17 btaddr, 18 channel) 19 20 obex = OBEXClient(btaddr, channel) 21 obex.connect() 22 obex.put({’name’: basename(my_file)}, open(my_file, "rb")) 23 obex.disconnect()

503

0.693837

96

503

3.59375

0.59375

0.101449

0

0.098361

0.151093

503

1

503

0.709602

0.996024

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

4

8d99e356456dc54f2a8fc9a861e3433ab5ce0890

586

py

Python

employees/serializers.py

gallardowolfcode/test_django

f09a1cfefa0370fd8dd1390d7f99fd4f554b61fb

[ "MIT" ]

null

employees/serializers.py

gallardowolfcode/test_django

f09a1cfefa0370fd8dd1390d7f99fd4f554b61fb

[ "MIT" ]

null

employees/serializers.py

gallardowolfcode/test_django

f09a1cfefa0370fd8dd1390d7f99fd4f554b61fb

[ "MIT" ]

null

from rest_framework import serializers from django.contrib.auth.models import User from .models import Employee from .models import Request class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ['id', 'first_name'] class PostSerializer(serializers.ModelSerializer): user = UserSerializer class EmployeeSerializer(serializers.ModelSerializer): class Meta: model = Employee exclude = ['uuid'] class RequestSerializer(serializers.ModelSerializer): class Meta: model = Request exclude = []

24.416667

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0.221957

0.250597

0.286396

0

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24

55

24.416667

0.901075

0

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0

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0

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0

false

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0

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0

null

1

0

null

0

1

0

4

8d9d34603dfda8b9cd1a6d140b6bde9122759359

14,763

py

Python

training/src/tests/tests/python/sigmoid_cross_entropy_loss_test_2.py

steelONIONknight/bolt

9bd3d08f2abb14435ca3ad0179889e48fa7e9b47

[ "MIT" ]

null

training/src/tests/tests/python/sigmoid_cross_entropy_loss_test_2.py

steelONIONknight/bolt

9bd3d08f2abb14435ca3ad0179889e48fa7e9b47

[ "MIT" ]

null

training/src/tests/tests/python/sigmoid_cross_entropy_loss_test_2.py

steelONIONknight/bolt

9bd3d08f2abb14435ca3ad0179889e48fa7e9b47

[ "MIT" ]

null

# Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved. # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE # WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR # COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. import tensorflow as tf tf.compat.v1.enable_eager_execution() def _round_up_tf(x, multiple): # Tf version of remainder = x % multiple remainder = tf.mod(x, multiple) # Tf version of return x if remainder == 0 else x + multiple, -remainder x_round = tf.cond( tf.equal(remainder, tf.zeros(tf.shape(remainder), dtype=tf.int32)), lambda: x, lambda: x + multiple, -remainder, ) return x_round def sequence_mask(lengths, r, expand=True): """Returns a 2-D or 3-D tensorflow sequence mask depending on the argument 'expand'""" max_len = tf.reduce_max(lengths) max_len = _round_up_tf(max_len, tf.convert_to_tensor(r)) if expand: return tf.expand_dims( tf.sequence_mask(lengths, maxlen=max_len, dtype=tf.float32), axis=-1 ) return tf.sequence_mask(lengths, maxlen=max_len, dtype=tf.float32) def MaskedSigmoidCrossEntropy( targets, outputs, targets_lengths, outputs_per_step, cross_entropy_pos_weight, mask=None, ): """Computes a masked SigmoidCrossEntropy with logits""" # [batch_size, time_dimension] # example: # sequence_mask([1, 3, 2], 5) = [[1., 0., 0., 0., 0.], # [1., 1., 1., 0., 0.], # [1., 1., 0., 0., 0.]] # Note the maxlen argument that ensures mask shape is compatible with r>1 # This will by default mask the extra paddings caused by r>1 if mask is None: mask = sequence_mask(targets_lengths, outputs_per_step, False) print("mask", mask) with tf.control_dependencies([tf.assert_equal(tf.shape(targets), tf.shape(mask))]): # Use a weighted sigmoid cross entropy to measure the <stop_token> loss. Set hparams.cross_entropy_pos_weight to 1 # will have the same effect as vanilla tf.nn.sigmoid_cross_entropy_with_logits. losses = tf.nn.weighted_cross_entropy_with_logits( targets=targets, logits=outputs, pos_weight=cross_entropy_pos_weight ) print("losses", losses) with tf.control_dependencies([tf.assert_equal(tf.shape(mask), tf.shape(losses))]): masked_loss = losses * mask print("reduce_sum", tf.reduce_sum(masked_loss)) print( "count_nonzero", tf.reduce_sum(tf.count_nonzero(tf.greater(tf.abs(masked_loss), 1e-6))), ) return tf.reduce_sum(masked_loss) / tf.count_nonzero( tf.greater(tf.abs(masked_loss), 1e-6), dtype=tf.float32 ) stop_token_prediction = tf.Variable( [ [ -19.2554722, -19.2172222, -19.7487106, -23.2418308, -23.0357475, -19.9446392, -27.0010834, -26.6425743, -28.5018578, -28.0486679, -27.7838459, -26.1214581, -27.1233, -26.907362, -22.8142586, -27.0453434, -26.7594566, -26.5863934, -26.3179436, -26.0884037, -25.2211628, -24.620985, -24.5142632, -22.1174355, -23.2725945, -23.1596012, -21.0120411, -23.2527103, -23.1696, -18.9072666, -23.2554893, -23.1731701, -18.4311829, -24.0848808, -24.1499138, -15.960947, -25.0092278, -24.9623737, -19.1189365, -26.3438778, -26.154995, -29.2581463, -25.3176689, -25.2528896, -28.2736454, -25.7639732, -25.7637558, -26.8779392, -24.7767124, -24.7134781, -22.3563709, -23.5989647, -23.6536312, -19.5809612, -23.2020531, -23.299015, -22.2237759, -23.5046, -23.6222115, -23.6591587, -23.600338, -23.6569653, -21.160244, -24.86063, -24.9315052, -22.037775, -24.9977646, -25.026741, -21.9423466, -23.6845512, -23.8408508, -19.2570915, -24.6328468, -24.8431606, -22.6878662, -23.3660145, -23.6384182, -21.5760536, -25.1034832, -25.348238, -23.8637543, -26.663229, -26.7145176, -25.336668, -27.2477226, -27.306406, -25.7301979, -28.7218399, -28.8692188, -26.3121185, -29.7668476, -29.9222355, -27.5231705, -28.9869289, -29.1099186, -26.162838, -26.6737137, -26.6174068, -23.7669525, -25.5801525, -25.382597, -24.8046799, -23.8789845, -23.697506, -24.2769432, -22.6485615, -22.6902733, -19.4312019, -25.5100574, -25.7145748, -24.8000069, -25.820364, -25.8850422, -24.9364567, -25.5461807, -25.6516953, -23.3298531, -26.0074, -26.2451801, -25.3116417, -27.9871769, -28.2245426, -27.5163536, -27.2617893, -27.499155, -26.7148914, -27.917696, -28.1484642, -26.3882656, -26.1964741, -26.4671707, -21.5169525, -25.7654495, -25.956953, -21.4978657, -25.4474277, -25.5888271, -21.8175259, -27.0709019, -27.2391357, -25.4488678, -26.6593227, -26.9093361, -24.8338413, -25.5061531, -25.8105183, -23.624918, -25.6026173, -25.8815746, -24.5043125, -25.9096336, -26.0886726, -25.2726841, -26.928133, -27.0977306, -26.1994705, -27.3337383, -27.4392586, -26.3144608, -27.7289352, -27.8782, -24.213871, -25.7142906, -25.8960228, -22.7322845, -25.6535549, -25.8980904, -24.5248547, -26.2106419, -26.4627228, -26.0687141, -26.5431461, -26.7009983, -25.7237949, -26.6101112, -26.6817436, -25.3532429, -26.7699566, -26.9373798, -26.9421253, -26.6608849, -26.9125614, -24.117918, -26.2250576, -26.5464878, -23.1006, -27.6363869, -27.8620872, -25.3283138, -29.9514732, -30.1839752, -26.477644, -29.3066959, -29.4690552, -23.5445633, -29.1421337, -29.2640915, -22.4593296, -28.1416054, -28.2274284, -22.18853, -26.733387, -26.7894478, -21.491787, -26.1531353, -26.1881218, -20.6900272, -24.7998199, -24.7371349, -19.1967335, -21.245182, -21.1941013, -15.3086586, -21.5838165, -21.5323563, -16.0762138, -21.4765892, -21.4428558, -15.7436924, -22.4633045, -22.4034424, -16.9948044, -22.7169952, -22.6739521, -17.8596611, -21.7312, -21.6699924, -14.5657434, -20.6252861, -20.6077271, -13.4298716, -22.6423855, -22.5940323, -18.3120213, -23.1737137, -23.0944881, -17.6568565, -22.7808514, -22.6918087, -16.7538891, -22.4906845, -22.4037457, -16.9209671, -23.021389, -22.9521198, -17.1286907, -22.9245148, -22.8395557, -16.294363, -21.9706516, -21.9045429, -15.5770559, -22.0162334, -21.9441986, -16.1142902, -23.2365379, -23.1556301, -17.2457199, -21.6759892, -21.6193886, -14.4782619, -21.6260395, -21.6478901, -10.49055, ] ], dtype=tf.float32, ) stop_token_target = tf.Variable( [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, ] ], dtype=tf.float32, ) targets_lengths = tf.Variable([264], dtype=tf.int32) with tf.GradientTape() as tape: tape.watch(stop_token_prediction) stop_token_loss = MaskedSigmoidCrossEntropy( stop_token_target, stop_token_prediction, targets_lengths, 3, 1 ) print( tf.nn.weighted_cross_entropy_with_logits( targets=[0.0], logits=[-14.4782], pos_weight=1 ) ) print(stop_token_loss) g = tape.gradient(stop_token_loss, stop_token_prediction) # print(g)

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8da214011eefba61ee1ac84120ce89720d66b1dd

193

py

Python

coins_project/coins/views.py

desecho/coins

2b5660cbe8108f421741114a5ef1d63f5753d299

[ "MIT" ]

null

coins_project/coins/views.py

desecho/coins

2b5660cbe8108f421741114a5ef1d63f5753d299

[ "MIT" ]

null

coins_project/coins/views.py

desecho/coins

2b5660cbe8108f421741114a5ef1d63f5753d299

[ "MIT" ]

null

from annoying.decorators import render_to from .models import Coin @render_to() def coins(request, template): coins = Coin.objects.all() return {'coins': coins, 'TEMPLATE': template}

21.444444

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a5c3d5dea9d13c56ee5b5977d381f45defdda51c

42

py

Python

wave/sound/drum/kick/roll/_roll.py

jedhsu/wave

a05d8f4b0a96722bdc2f5a514646c7a44681982b

[ "Apache-2.0" ]

null

wave/sound/drum/kick/roll/_roll.py

jedhsu/wave

a05d8f4b0a96722bdc2f5a514646c7a44681982b

[ "Apache-2.0" ]

null

wave/sound/drum/kick/roll/_roll.py

jedhsu/wave

a05d8f4b0a96722bdc2f5a514646c7a44681982b

[ "Apache-2.0" ]

null

__all__ = ["Roll"] class Roll: pass

7

18

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null

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null

0

1

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4

a5eca507fd07b762c4d96945bb09930b8b792f27

19

py

Python

src/backtest/__init__.py

jiangtiantu/JAB

39d91043619c337c07ade87a86f3f876b05ad3e3

[ "MIT" ]

3

2021-05-14T02:27:38.000Z

2021-11-17T11:08:33.000Z

src/backtest/__init__.py

WangChen663/time_series_analysis

e88cee1e414c0851853ef328264f4ffb1f3fa44c

[ "MIT" ]

null

src/backtest/__init__.py

WangChen663/time_series_analysis

e88cee1e414c0851853ef328264f4ffb1f3fa44c

[ "MIT" ]

null

__all__ = ['jab']

6.333333

17

0.526316

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null

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1

0

1

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null

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4

a5fa028796462b0722f68976ede8689dd08567f4

165

py

Python

utils/clean_json5.py

bl0x/symbiflow-arch-defs

5fa5e71526e443d589971f2649d8b189df982d72

[ "ISC" ]

183

2017-12-29T12:08:32.000Z

2022-02-15T03:29:07.000Z

utils/clean_json5.py

bl0x/symbiflow-arch-defs

5fa5e71526e443d589971f2649d8b189df982d72

[ "ISC" ]

1,832

2017-12-29T14:47:27.000Z

2022-02-18T06:30:43.000Z

utils/clean_json5.py

bl0x/symbiflow-arch-defs

5fa5e71526e443d589971f2649d8b189df982d72

[ "ISC" ]

96

2017-12-30T12:00:45.000Z

2022-02-17T09:03:46.000Z

import pyjson5 import simplejson import sys def main(): simplejson.dump(pyjson5.load(sys.stdin), sys.stdout, indent=2) if __name__ == "__main__": main()

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165

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a5fe962e2ae8fbd3b5a025f3d628a06f9d40a633

172

py

Python

moto/applicationautoscaling/__init__.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

5,460

2015-01-01T01:11:17.000Z

2022-03-31T23:45:38.000Z

moto/applicationautoscaling/__init__.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

4,475

2015-01-05T19:37:30.000Z

2022-03-31T13:55:12.000Z

moto/applicationautoscaling/__init__.py

symroe/moto

4e106995af6f2820273528fca8a4e9ee288690a5

[ "Apache-2.0" ]

1,831

2015-01-14T00:00:44.000Z

2022-03-31T20:30:04.000Z

from .models import applicationautoscaling_backends from ..core.models import base_decorator mock_applicationautoscaling = base_decorator(applicationautoscaling_backends)

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57299ef1c6e5fe65a50710c760d6b9d53e762ebd

36

py

Python

config.py

DSCVITBHOPAL/SAMPARK

4d6e8457a5ec67979934c79bf084a1f74a5777c5

[ "MIT" ]

null

config.py

DSCVITBHOPAL/SAMPARK

4d6e8457a5ec67979934c79bf084a1f74a5777c5

[ "MIT" ]

null

config.py

DSCVITBHOPAL/SAMPARK

4d6e8457a5ec67979934c79bf084a1f74a5777c5

[ "MIT" ]

2

2021-01-12T07:24:28.000Z

2021-02-13T04:43:17.000Z

VTAPIKEY="Put your VT API-KEY HERE"

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null

0

4

57593a1f27b49de9e1e9a5584aa2e0ee054ff794

181

py

Python

Maths_And_Stats/Geometry/Manhattan_Distance/manhattan_dist.py

arslantalib3/algo_ds_101

a1293f407e00b8346f93e8770727f769e7add00e

[ "MIT" ]

182

2020-10-01T17:16:42.000Z

2021-10-04T17:52:49.000Z

Maths_And_Stats/Geometry/Manhattan_Distance/manhattan_dist.py

arslantalib3/algo_ds_101

a1293f407e00b8346f93e8770727f769e7add00e

[ "MIT" ]

759

2020-10-01T00:12:21.000Z

2021-10-04T19:35:11.000Z

Maths_And_Stats/Geometry/Manhattan_Distance/manhattan_dist.py

arslantalib3/algo_ds_101

a1293f407e00b8346f93e8770727f769e7add00e

[ "MIT" ]

1,176

2020-10-01T16:02:13.000Z

2021-10-04T19:20:19.000Z

def calcManhattanDist(x1, y1, x2, y2) -> float: return abs(x1 - x2) + abs(y1 - y2) def main(): print(calcManhattanDist(2, 5, 10, 14)) if __name__ == "__main__": main()

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22.625

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null

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1

0

1

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4

9e1c6cff16c58fe94a9b6fdecf6165328e35d3e1

1,024

py

Python

CookiesPool/db.py

authetic-x/Web_Scraping

a1a4126cbe123cbde93680cea77c121507cff003

[ "MIT" ]

null

CookiesPool/db.py

authetic-x/Web_Scraping

a1a4126cbe123cbde93680cea77c121507cff003

[ "MIT" ]

null

CookiesPool/db.py

authetic-x/Web_Scraping

a1a4126cbe123cbde93680cea77c121507cff003

[ "MIT" ]

null

import random import redis from CookiesPool.config import * class RedisClient(): def __init__(self, type, website, host=REDIS_HOST, port=REDIS_PORT, password=REDIS_PASSWORD): self.db = redis.StrictRedis(host=host, port=port, password=password, decode_responses=True) self.type = type self.website = website def name(self): return "{type}:{website}".format(type=self.type, website=self.website) def set(self, username, value): return self.db.hset(self.name(), username, value) def get(self, username): return self.db.hget(self.name(), username) def delete(self, username): return self.db.hdel(self.name(), username) def count(self): return self.db.hlen(self.name()) def random(self): return random.choice(self.db.hvals(self.name())) def usernames(self): return self.db.hkeys(self.name()) def all(self): return self.db.hgetall(self.name())

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null

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1

0

1

0

4

f540af3d871c70c7a81ebcb4e3770a5303325aae

2,041

py

Python

shared/reaction_message.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

16

2022-02-11T14:49:04.000Z

2022-03-30T07:33:45.000Z

shared/reaction_message.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

1

2022-02-16T15:23:50.000Z

2022-02-21T15:30:21.000Z

shared/reaction_message.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

1

2022-03-24T10:52:28.000Z

""" .. module:: reaction_message :platform: Unix :synopsis: A module that describes what the reaction should be when receiving a specific message. .. Copyright 2022 EDF .. moduleauthor:: Oscar RODRIGUEZ INFANTE, Tony ZHOU, Trang PHAM, Efflam OLLIVIER .. License:: This source code is licensed under the MIT License. """ class ReactionToIncomingMessage: """This is a class that contains any useful information about an incoming message and the reaction to it. """ def __init__(self): self.__message = None self.__extra_data = None self.__msg_type = None @property def message(self): return self.__message @message.setter def message(self, message): self.__message = message @property def extra_data(self): return self.__extra_data @extra_data.setter def extra_data(self, data): self.__extra_data = data @property def next_state(self): return self.__next_state @property def msg_type(self): return self.__msg_type @msg_type.setter def msg_type(self, type_msg): self.__msg_type = type_msg class SendMessage(ReactionToIncomingMessage): """This is a reaction to a message that tells it to send it. Inherits from ReactionToIncomingMessage. """ def __init__(self): super(SendMessage, self).__init__() class TerminateSession(ReactionToIncomingMessage): """This is a reaction to a message that tells it to end the session. Inherits from ReactionToIncomingMessage. """ pass class ChangeState(ReactionToIncomingMessage): """This is a reaction to a message that tells it to change the state. Inherits from ReactionToIncomingMessage. Not really used, so consider removing it. """ pass class PauseSession(ReactionToIncomingMessage): """This is a reaction to a message that tells it to pause the session. Inherits from ReactionToIncomingMessage. Not really used, to be implemented in later versions. """ pass

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f54c91c995d37cd120850a89ca37b77460c4de29

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py

Python

rqalpha/mod/rqalpha_mod_alphaStar_utils/__init__.py

xclxxl414/rqalpha

a2a09dbd6e4af832dca2d113fb15f22d0aa6065f

[ "Apache-2.0" ]

null

rqalpha/mod/rqalpha_mod_alphaStar_utils/__init__.py

xclxxl414/rqalpha

a2a09dbd6e4af832dca2d113fb15f22d0aa6065f

[ "Apache-2.0" ]

null

rqalpha/mod/rqalpha_mod_alphaStar_utils/__init__.py

xclxxl414/rqalpha

a2a09dbd6e4af832dca2d113fb15f22d0aa6065f

[ "Apache-2.0" ]

1

2022-02-06T03:29:06.000Z

#coding=utf-8 """ @author: evilXu @file: __init__.py.py @time: 2018/2/28 16:58 @description: """ def load_mod(): from .mod import UtilsMod return UtilsMod()

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f571cf8b74af89e9248afc7d3e72091149c49440

187

py

Python

src/daain/utils/zarr_utils.py

merantix/mxlabs-daain

0e87df5dd6e678939374dfadf44fc360d34425bb

[ "Apache-2.0" ]

14

2021-06-01T08:34:09.000Z

2022-02-01T15:45:27.000Z

src/daain/utils/zarr_utils.py

merantix/mxlabs-daain

0e87df5dd6e678939374dfadf44fc360d34425bb

[ "Apache-2.0" ]

null

src/daain/utils/zarr_utils.py

merantix/mxlabs-daain

0e87df5dd6e678939374dfadf44fc360d34425bb

[ "Apache-2.0" ]

2

2021-07-31T01:58:40.000Z

2022-01-24T14:04:26.000Z

def open_group(group, path): """Creates or loads the subgroup defined by `path`.""" if path in group: return group[path] else: return group.create_group(path)

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null

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4

f57fa41e0f0adc29baa0969c334723c98b693d3c

50

py

Python

src/api/run.py

turiphro/barcode-shopping-list

5311837867efdf7e79040c88ee95ccf29ec3c94c

[ "MIT" ]

2

2020-12-05T15:40:45.000Z

2021-04-20T17:01:11.000Z

src/api/run.py

turiphro/barcode-shopping-list

5311837867efdf7e79040c88ee95ccf29ec3c94c

[ "MIT" ]

null

src/api/run.py

turiphro/barcode-shopping-list

5311837867efdf7e79040c88ee95ccf29ec3c94c

[ "MIT" ]

null

from api_svc import create_api api = create_api()

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4.111111

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0.486486

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1

0

null

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1

0

4

f58d437570f8c1957c69d0dda3cc7fa207f26c60

85

py

Python

backend/birds/apps.py

nehakalbande/Birds-Voice-Recognition

da6492d3a3886e0baf148b8e7d13a35e88398f7d

[ "MIT" ]

1

2021-06-14T15:43:38.000Z

backend/birds/apps.py

nehakalbande/Birds-Voice-Recognition

da6492d3a3886e0baf148b8e7d13a35e88398f7d

[ "MIT" ]

null

backend/birds/apps.py

nehakalbande/Birds-Voice-Recognition

da6492d3a3886e0baf148b8e7d13a35e88398f7d

[ "MIT" ]

null

from django.apps import AppConfig class BirdsConfig(AppConfig): name = 'birds'

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null

0

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0

1

0

4

192b18562504a79a90f218906ff986ef69af5134

353

py

Python

rasa_nlu_gao/training_data/__init__.py

1073521013/rasa_nlu_gq

6c8bea1b14390246b39770abc544986f4c7acf26

[ "Apache-2.0" ]

3

2020-08-03T00:21:04.000Z

2021-09-01T06:20:00.000Z

rasa_nlu_gao/training_data/__init__.py

1073521013/rasa_nlu_gq

6c8bea1b14390246b39770abc544986f4c7acf26

[ "Apache-2.0" ]

1

2022-02-10T06:42:23.000Z

rasa_nlu_gao/training_data/__init__.py

1073521013/rasa_nlu_gq

6c8bea1b14390246b39770abc544986f4c7acf26

[ "Apache-2.0" ]

4

2019-06-06T08:05:22.000Z

2020-08-07T08:07:22.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from rasa_nlu_gao.training_data.message import Message from rasa_nlu_gao.training_data.training_data import TrainingData from rasa_nlu_gao.training_data.loading import load_data

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194fff71b79dd6a7746ebb1ee4d2ecae8b3332ec

133

py

Python

cmd3/__init__.py

futuregrid/cmd3

266bf073457165679d918c238a220a3136f41ed5

[ "Apache-2.0" ]

1

2016-07-16T20:34:52.000Z

cmd3/__init__.py

futuregrid/cmd3

266bf073457165679d918c238a220a3136f41ed5

[ "Apache-2.0" ]

null

cmd3/__init__.py

futuregrid/cmd3

266bf073457165679d918c238a220a3136f41ed5

[ "Apache-2.0" ]

null

import sys sys.path.append("..") import pkg_resources # part of setuptools __version__ = pkg_resources.require("cmd3")[0].version

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5.222222

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1

0

1

0

null

0

1

0

4

5fd60a9ad22fb055696cb5b3612d171c1bf0d26f

2,043

py

Python

tests/gitlab_user/unit/FindUserByNameTest.py

flowpl/ansible_gitlab_content

83972d43da8a17b608cfe663915e41e908d8d916

[ "MIT" ]

3

2016-04-30T14:48:45.000Z

2021-02-08T04:43:13.000Z

tests/gitlab_user/unit/FindUserByNameTest.py

flowpl/ansible_gitlab

83972d43da8a17b608cfe663915e41e908d8d916

[ "MIT" ]

null

tests/gitlab_user/unit/FindUserByNameTest.py

flowpl/ansible_gitlab

83972d43da8a17b608cfe663915e41e908d8d916

[ "MIT" ]

1

2021-02-08T06:28:21.000Z

# -*- encoding: utf-8 -*- import unittest import mock import library.gitlab_user class FindUserByNameTest(unittest.TestCase): @mock.patch('library.gitlab_user._send_request') def testAllOK(self, send_request_mock): send_request_mock.return_value = \ {'status': '200 OK'}, \ '[{"username":"someone","id":3,"name":"Test","email":"anyone@something.com"},{"username":"testusername","id":12,"name":"Test","email":"someone@something.com"}]' result = library.gitlab_user._find_user_by_name('http://somedomain.com/api/v3', '576932', 'testusername') self.assertEqual( {"username": "testusername", "id": 12, "name": "Test", "email": "someone@something.com"}, result ) self.assert_send_request_call(send_request_mock) @mock.patch('library.gitlab_user._send_request') def testRequestFailed(self, send_request_mock): send_request_mock.return_value = {'status': '500 Internal Server Error'}, '' result = library.gitlab_user._find_user_by_name('http://somedomain.com/api/v3', '576932', 'testusername') self.assertIsNone(result) self.assert_send_request_call(send_request_mock) @mock.patch('library.gitlab_user._send_request') def testUserNotFound(self, send_request_mock): send_request_mock.return_value = \ {'status': '200 OK'}, \ '[{"username":"someone","id":3,"name":"Test","email":"anyone@something.com"}]' result = library.gitlab_user._find_user_by_name('http://somedomain.com/api/v3', '576932', 'testusername') self.assertIsNone(result) self.assert_send_request_call(send_request_mock) def assert_send_request_call(self, send_request_mock): self.assertEquals('GET', send_request_mock.call_args_list[0][1]['method']) self.assertEquals('http://somedomain.com/api/v3/users', send_request_mock.call_args_list[0][1]['url']) self.assertEquals({'PRIVATE-TOKEN': '576932'}, send_request_mock.call_args_list[0][1]['headers'])

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null

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1

0

1

0

null

0

4

5fedc807546a74d258eb66e0d62e41550b9f6a84

109

py

Python

ezdisteach/model/structural/image.py

call-learning/ez-disteach

7636dfdbfb709769824266800ebba18be764ecc3

[ "MIT" ]

null

ezdisteach/model/structural/image.py

call-learning/ez-disteach

7636dfdbfb709769824266800ebba18be764ecc3

[ "MIT" ]

null

ezdisteach/model/structural/image.py

call-learning/ez-disteach

7636dfdbfb709769824266800ebba18be764ecc3

[ "MIT" ]

null

""" Image Model """ from ..base import Base class Image(Base): META_ATTRIBUTES = ['title', 'url']

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null

0

1

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4

5ff1202c23bfc9704086bdf8f2702beb7a67649a

128

py

Python

test/__init__.py

akshayelangovan/fuzzy_template_akshay

b4e13741f18a2acad5b998d7487c992feec303fd

[ "MIT" ]

1

2022-02-22T23:54:34.000Z

test/__init__.py

akshayelangovan/fuzzy_template_akshay

b4e13741f18a2acad5b998d7487c992feec303fd

[ "MIT" ]

null

test/__init__.py

akshayelangovan/fuzzy_template_akshay

b4e13741f18a2acad5b998d7487c992feec303fd

[ "MIT" ]

null

# This directory can be used to build unit tests for your project # This is very beneficial for collaborating on code as a team

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128

4.391304

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66

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0.960938

0

null

0

null

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null

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null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

5ff54893c7378c3e4988dd2b2555a12e0d4f6f85

395

py

Python

dglt/contrib/moses/moses/model/gvae/__init__.py

uta-smile/CD-MVGNN

b48f4cd14befed298980a83edb417ab6809f0af6

[ "MIT" ]

3

2022-02-06T09:13:51.000Z

2022-02-19T15:03:35.000Z

dglt/contrib/moses/moses/model/gvae/__init__.py

uta-smile/CD-MVGNN

b48f4cd14befed298980a83edb417ab6809f0af6

[ "MIT" ]

1

2022-02-14T23:16:27.000Z

dglt/contrib/moses/moses/model/gvae/__init__.py

uta-smile/CD-MVGNN

b48f4cd14befed298980a83edb417ab6809f0af6

[ "MIT" ]

null

from .config import get_train_parser as gvae_parser from .config import get_generate_parser as gvae_generate_parser #from .model_cvae import CVAE as GVAE #from .model_gvae import Model as GVAE from .model_gvae_v2 import Model as GVAE from .trainer import GVAETrainer from .generator import GVAEGenerator __all__ = ['gvae_parser', 'gvae_generate_parser', 'GVAE', 'GVAETrainer', 'GVAEGenerator']

39.5

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9

90

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false

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1

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null

0

1

0

1

0

4

27022bfde28e0eaf229f8e2c6046c6b952dbd593

193

py

Python

app_metrics/exceptions.py

bencann-bubble/django-app-metrics

ed771f89dd3f9e9adb520aed3ec0c975589d22d4

[ "BSD-3-Clause" ]

121

2015-01-03T19:41:31.000Z

2022-02-28T11:43:57.000Z

app_metrics/exceptions.py

bencann-bubble/django-app-metrics

ed771f89dd3f9e9adb520aed3ec0c975589d22d4

[ "BSD-3-Clause" ]

7

2015-09-19T11:53:03.000Z

2020-07-20T02:34:14.000Z

app_metrics/exceptions.py

bencann-bubble/django-app-metrics

ed771f89dd3f9e9adb520aed3ec0c975589d22d4

[ "BSD-3-Clause" ]

27

2015-01-21T18:48:54.000Z

2022-02-14T05:37:41.000Z

class AppMetricsError(Exception): pass class InvalidMetricsBackend(AppMetricsError): pass class MetricError(AppMetricsError): pass class TimerError(AppMetricsError): pass

12.866667

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0.761658

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9.1875

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0

0.176166

193

14

46

13.785714

0.924528

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true

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null

0

1

0

null

0

1

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4

270787d96373a193bcff5a819abac3328538164b

67

py

Python

pa2checker/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

3

2016-10-10T20:18:51.000Z

2018-05-01T19:42:10.000Z

pa2checker/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

38

2016-08-22T03:20:25.000Z

2018-06-11T19:13:05.000Z

pa2checker/__main__.py

aas-integration/integration-test2

dc9a9b4593cd59841f0d8348056cbff80a9c2a21

[ "MIT" ]

7

2016-08-29T17:37:42.000Z

2022-01-28T00:30:10.000Z

import pa2checker if __name__ == '__main__': pa2checker.main()

16.75

26

0.716418

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67

5.714286

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0.035714

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true

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null

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1

0

null

0

1

0

1

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4

2708931de8beafe8977a124e170ae572347c18af

198

py

Python

note_project/note_app/models.py

dasap89/django_note_app

498180efde152a2aa52e5adffe091b3b865fa611

[ "MIT" ]

null

note_project/note_app/models.py

dasap89/django_note_app

498180efde152a2aa52e5adffe091b3b865fa611

[ "MIT" ]

null

note_project/note_app/models.py

dasap89/django_note_app

498180efde152a2aa52e5adffe091b3b865fa611

[ "MIT" ]

null

from django.db import models class Note(models.Model): note_text = models.TextField() created_at = models.DateTimeField(auto_now_add=True) def __str__(self): return note_text

19.8

56

0.717172

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198

4.925926

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0.19697

198

9

57

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null

0

1

0

null

0

1

0

4

2785a9b76d269aff0fc047dc13937f9b21b25bb6

164

py

Python

Dublin_Bikes/weather_predictor_scraper/run_weather_predictor.py

TeamCGS/Dublin_Bikes

bdd7f79da3761456aef15b1bf01d0e2615462dd4

[ "BSD-3-Clause" ]

null

Dublin_Bikes/weather_predictor_scraper/run_weather_predictor.py

TeamCGS/Dublin_Bikes

bdd7f79da3761456aef15b1bf01d0e2615462dd4

[ "BSD-3-Clause" ]

null

Dublin_Bikes/weather_predictor_scraper/run_weather_predictor.py

TeamCGS/Dublin_Bikes

bdd7f79da3761456aef15b1bf01d0e2615462dd4

[ "BSD-3-Clause" ]

null

import weather_predictor_scraper def main (): #scraper.main() Scraper1 = weather_predictor_scraper.Weather() Scraper1.getWeatherData() main()

18.222222

50

0.70122

16

164

6.9375

0.5

0.288288

0.414414

0

0.015267

0.20122

164

9

51

18.222222

0.832061

0.085366

0

1

0.2

false

0

0.2

0

0.4

0

1

0

null

1

0

1

0

null

0

4

27db371433c5a71065995f6ff53bb8081caa5f15

829

py

Python

password_generator/models.py

CoderSsVartak/password_generator

85c5a655b13645f6c6a46d2c6f8e8a3eae1a707f

[ "MIT" ]

null

password_generator/models.py

CoderSsVartak/password_generator

85c5a655b13645f6c6a46d2c6f8e8a3eae1a707f

[ "MIT" ]

null

password_generator/models.py

CoderSsVartak/password_generator

85c5a655b13645f6c6a46d2c6f8e8a3eae1a707f

[ "MIT" ]

1

2021-05-04T11:57:20.000Z

from password_generator import db, login_manager from flask_login import UserMixin @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) class User(UserMixin, db.Model): __tablename__ = 'user' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(120), nullable=False) username = db.Column(db.String(20), unique=True, nullable=False) email = db.Column(db.String(120), unique=True, nullable=False) contact = db.Column(db.String(10), nullable=False) password = db.Column(db.String(120), nullable=False) sec_qns = db.Column(db.String(120), nullable=False) sec_ans = db.Column(db.String(30), nullable=False) def __repr__(self): return f"User('{self.username}', '{self.email}', '{self.password}')"

31.884615

77

0.68275

117

829

4.675214

0.376068

0.117002

0.146252

0.204753

0.221207

0.186472

0.127971

0

0.026316

0.17491

829

25

78

33.16

0.773392

0

0.077307

0.028678

0

1

0.117647

false

0.176471

0.117647

0.941176

0

null

0

1

0

null

0

1

0

1

0

4

27efd4108cfa7b13ba71ad0a4750f274c97baf61

258

py

Python

sec_dl/main.py

Peppershaker/sec_dl

30f0176409c8189fa223637e9734904d8ac94001

[ "MIT" ]

null

sec_dl/main.py

Peppershaker/sec_dl

30f0176409c8189fa223637e9734904d8ac94001

[ "MIT" ]

null

sec_dl/main.py

Peppershaker/sec_dl

30f0176409c8189fa223637e9734904d8ac94001

[ "MIT" ]

null

from sec_dl.utils.init_tables import init_all_tables from sec_dl.utils.scrape_all_filings import process_filings from sec_dl.utils.load_filings_idx import load_filings if __name__ == "__main__": init_all_tables() load_filings() process_filings()

32.25

59

0.813953

40

258

4.65

0.4

0.112903

0.145161

0.225806

0

0.120155

258

8

60

32.25

0.819383

0

0.030888

0

1

0

true

0

0.428571

0

0.428571

0

null

0

1

0

1

0

null

0

1

0

1

0

4

fda3c87e61ed0764fbf73a4a72e03a3feda37d16

155

py

Python

main.py

numericalresearch/cloudrisk

845c1882e48d5a80c1b9a8be336376aea99ba457

[ "BSD-3-Clause" ]

null

main.py

numericalresearch/cloudrisk

845c1882e48d5a80c1b9a8be336376aea99ba457

[ "BSD-3-Clause" ]

null

main.py

numericalresearch/cloudrisk

845c1882e48d5a80c1b9a8be336376aea99ba457

[ "BSD-3-Clause" ]

null

from azure.cosmos import CosmosClient import os url = os.environ['ACCOUNT_URI'] key = os.environ['ACCOUNT_KEY'] client = CosmosClient(url, credential=key)

25.833333

42

0.780645

22

155

5.409091

0.590909

0.151261

0.268908

0

0.103226

155

6

42

25.833333

0.856115

0

0.141026

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

4

fdbc179e9f37aec14b91dd48dbae66c786182a2c

259

py

Python

Jupyter/AODBW.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Jupyter/AODBW.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Jupyter/AODBW.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

# Description: Run the AODBW function from the pymolshortcuts.py file to generate photorealistic effect with carbons colored black and all other atoms colored in grayscale. # Source: placeHolder """ cmd.do('cmd.do("AODBW")') """ cmd.do('cmd.do("AODBW")')

28.777778

173

0.737452

37

259

5.162162

0.72973

0.104712

0.08377

0.104712

0.157068

0

0.138996

259

8

174

32.375

0.856502

0.84556

0

1

0

0.483871

0

1

0

true

0

null

0

1

0

1

0

1

0

null

0

1

0

4

fdcfc1d0395a71f06e4aa1b38dc65d040c2eebed

188

py

Python

imgy/http.py

pirvanc/imgy

614aaa925bf054e577d09b824ba5d5fc35d66231

[ "MIT" ]

null

imgy/http.py

pirvanc/imgy

614aaa925bf054e577d09b824ba5d5fc35d66231

[ "MIT" ]

null

imgy/http.py

pirvanc/imgy

614aaa925bf054e577d09b824ba5d5fc35d66231

[ "MIT" ]

null

import requests import boto3 BUCKET_NAME = 'imgy' def upload_file(filename): # Create an S3 client raise NotImplementedError def download_file(): raise NotImplementedError

14.461538

29

0.755319

22

188

6.318182

0.772727

0.345324

0

0.013158

0.191489

188

12

30

15.666667

0.901316

0.101064

0

0.285714

0

0.023952

0

1

0.285714

false

0

0.285714

0

0.571429

0

1

0

null

1

0

null

0

1

0

1

0

4

fdf577ba4213009ae3ec232ceb4d25ade9784a7d

333

py

Python

pytpp/attributes/generational_credential.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/generational_credential.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/generational_credential.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta, Attribute from pytpp.attributes.credential_base import CredentialBaseAttributes class GenerationalCredentialAttributes(CredentialBaseAttributes, metaclass=IterableMeta): __config_class__ = "Generational Credential" last = Attribute('Last') visibility = Attribute('Visibility')

37

89

0.84985

29

333

9.517241

0.586207

0.065217

0.137681

0

0.081081

333

8

90

41.625

0.901961

0

0.111111

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fdfe4b88f913661a78c3017b55b095fa958ec045

117

py

Python

test.py

salvatoreraccardi/Poisson_Chart_Generator

95ed5611a82cfd130d9a3222b1d7e922abb8fc61

[ "MIT" ]

null

test.py

salvatoreraccardi/Poisson_Chart_Generator

95ed5611a82cfd130d9a3222b1d7e922abb8fc61

[ "MIT" ]

null

test.py

salvatoreraccardi/Poisson_Chart_Generator

95ed5611a82cfd130d9a3222b1d7e922abb8fc61

[ "MIT" ]

null

import math def poisson(n, mi): value = math.exp(-mi) * ( math.pow(mi, n) / math.factorial(n) ) return value

23.4

67

0.615385

19

117

3.789474

0.578947

0

0.213675

117

5

68

23.4

0.782609

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fdff65d27b565dc559ea401d9e9bb00c587e6439

183

py

Python

cakes.py

s1782662/codewars

db423df43f5ec2202ff42f9bf87d1053a8d4aa43

[ "MIT" ]

null

cakes.py

s1782662/codewars

db423df43f5ec2202ff42f9bf87d1053a8d4aa43

[ "MIT" ]

null

cakes.py

s1782662/codewars

db423df43f5ec2202ff42f9bf87d1053a8d4aa43

[ "MIT" ]

null

recipes,available = {'flour': 500, 'sugar': 200, 'eggs': 1}, {'flour': 1200, 'sugar': 1200, 'eggs': 5, 'milk': 200} print(min([available.get(k,0) // recipes[k] for k in recipes]))

36.6

115

0.601093

28

183

3.928571

0.642857

0

0.127389

0.142077

183

4

116

45.75

0.573248

0

0.174863

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

e3390624a907c023ce5fdbfde4d99e17d471b412

7,337

py

Python

demo_image_processing.py

2e0byo/pygallica-autobib

d4be6938596805a0078c21f8351aa6a25c7c54e0

[ "MIT" ]

null

demo_image_processing.py

2e0byo/pygallica-autobib

d4be6938596805a0078c21f8351aa6a25c7c54e0

[ "MIT" ]

2

2021-05-12T09:42:23.000Z

2021-05-12T09:43:45.000Z

demo_image_processing.py

2e0byo/pygallica-autobib

d4be6938596805a0078c21f8351aa6a25c7c54e0

[ "MIT" ]

null

from bs4 import BeautifulSoup import numpy as np from PIL import ImageOps from gallica_autobib.gallipy import Resource from gallica_autobib.process import extract_image from PyPDF4 import PdfFileReader from io import BytesIO import matplotlib.pyplot as plt import matplotlib.image as mpimg from matplotlib.patches import Rectangle from collections import namedtuple Point = namedtuple("Point", ["x", "y"]) Box = namedtuple("Box", ["upper", "lower"]) ark = "https://gallica.bnf.fr/ark:/12148/bpt6k65545564" r = Resource(ark) def fetch_stuff(pno): pg = r.content_sync(startview=pno, nviews=1, mode="pdf").value reader = PdfFileReader(BytesIO(pg)) data, type_ = extract_image(reader.getPage(2)) ocr = r.ocr_data_sync(view=pno).value soup = BeautifulSoup(ocr.decode()) upper_bound = [0, 0] lower_bound = [0, 0] page = soup.find("page") height, width = int(page.get("height")), int(page.get("width")) xscale = data.height / height yscale = data.width / width height *= yscale printspace = soup.find("printspace") text_height = round(int(printspace.get("height")) * yscale) text_width = round(int(printspace.get("width")) * xscale) vpos = int(printspace.get("vpos")) * yscale hpos = int(printspace.get("hpos")) * xscale upper = Point(round(hpos), round(vpos)) return upper, text_height, text_width, data, height def gen_doc_data(): pno = 128 upper, text_height, text_width, data, height = fetch_stuff(pno) fig, ax = plt.subplots() plt.imshow(data) text_box = ax.add_patch( Rectangle( upper, text_width, text_height, edgecolor="red", facecolor="none", lw=2 ) ) fig.savefig( "docs/img/content_box.svg", bbox_inches="tight", transparent=True, dpi=72 ) ax2 = ax.twiny() a = np.array(ImageOps.grayscale(data)) mean = a.mean(axis=1) ax2.plot(mean, range(len(mean)), label="mean") gradient = np.gradient(mean) + 70 ax2.plot(gradient, range(len(gradient)), color="green", label="differential") plt.legend() fig.savefig("docs/img/mean.svg", bbox_inches="tight", transparent=True, dpi=72) gstd = np.std(gradient) gmean = gradient.mean() ax2.vlines([gmean - 1.5 * gstd, gmean + 1.5 * gstd], 0, data.height, color="orange") fig.savefig( "docs/img/mean_bounds.svg", bbox_inches="tight", transparent=True, dpi=72 ) search = round(height * 0.05) upper_bound = upper.y - search search_height = text_height + 2 * search search_upper = Point(upper.x, upper_bound) search_box = ax.add_patch( Rectangle( search_upper, text_width, search_height, edgecolor="green", facecolor="none", lw=1, ) ) fig.savefig("docs/img/search.svg", bbox_inches="tight", transparent=True, dpi=72) upper_search = gradient[upper_bound : upper.y] lower_search = gradient[upper.y + text_height : upper_bound + search_height] lower_thresh = gmean - 1.5 * gstd upper_thresh = gmean + 1.5 * gstd peaked = 0 for up, x in enumerate(reversed(upper_search)): if not peaked and x >= upper_thresh: peaked = 1 if peaked and x <= lower_thresh: peaked = 2 print("Line above detected.") break up = up if peaked == 2 else 0 peaked = 0 for down, x in enumerate(lower_search): if not peaked and x <= lower_thresh: peaked = 1 if peaked and x >= upper_thresh: peaked = 2 print("Line below detected.") break down = down if peaked == 2 else 0 final_upper = Point(upper.x, upper.y - up) final_height = text_height + up + down search_box = ax.add_patch( Rectangle( final_upper, text_width, final_height, edgecolor="pink", facecolor="none", lw=1, ) ) fig.savefig("docs/img/searched.svg", bbox_inches="tight", transparent=True, dpi=72) stretch = round(height * 0.005) streched_upper = Point(final_upper[0] - stretch, final_upper[1] - 2 * stretch) stretched_width = text_width + 2 * stretch stretched_height = final_height + 4 * stretch fig, ax = plt.subplots() plt.imshow(data) final_box = ax.add_patch( Rectangle( streched_upper, stretched_width, stretched_height, edgecolor="black", facecolor="none", lw=1, ) ) fig.savefig("docs/img/stretched.svg", bbox_inches="tight", transparent=True, dpi=72) def process_page(pno): upper, text_height, text_width, data, height = fetch_stuff(pno) fig, ax = plt.subplots() plt.imshow(data) text_box = ax.add_patch( Rectangle( upper, text_width, text_height, edgecolor="red", facecolor="none", lw=2 ) ) ax2 = ax.twiny() a = np.array(ImageOps.grayscale(data)) mean = a.mean(axis=1) gradient = np.gradient(mean) + 70 ax2.plot(gradient, range(len(gradient)), color="green", label="differential") gstd = np.std(gradient) gmean = gradient.mean() ax2.vlines([gmean - 1.5 * gstd, gmean + 1.5 * gstd], 0, data.height, color="orange") search = round(height * 0.05) upper_bound = upper.y - search search_height = text_height + 2 * search search_upper = Point(upper.x, upper_bound) search_box = ax.add_patch( Rectangle( search_upper, text_width, search_height, edgecolor="green", facecolor="none", lw=1, ) ) upper_search = gradient[upper_bound : upper.y] lower_search = gradient[upper.y + text_height : upper_bound + search_height] lower_thresh = gmean - 1.5 * gstd upper_thresh = gmean + 1.5 * gstd peaked = 0 for up, x in enumerate(reversed(upper_search)): if not peaked and x >= upper_thresh: peaked = 1 if peaked and x <= lower_thresh: peaked = 2 print("Line above detected.") break up = up if peaked == 2 else 0 peaked = 0 for down, x in enumerate(lower_search): if not peaked and x <= lower_thresh: peaked = 1 if peaked and x >= upper_thresh: peaked = 2 print("Line below detected.") break down = down if peaked == 2 else 0 final_upper = Point(upper.x, upper.y - up) final_height = text_height + up + down search_box = ax.add_patch( Rectangle( final_upper, text_width, final_height, edgecolor="pink", facecolor="none", lw=1, ) ) stretch = round(height * 0.005) streched_upper = Point(final_upper[0] - stretch, final_upper[1] - 2 * stretch) stretched_width = text_width + 2 * stretch stretched_height = final_height + 4 * stretch final_box = ax.add_patch( Rectangle( streched_upper, stretched_width, stretched_height, edgecolor="black", facecolor="none", lw=1, ) ) gen_doc_data() # process_page(128) # process_page(136) # process_page(79) # process_page(136)

30.193416

88

0.60338

935

7,337

4.591444

0.170053

0.027952

0.014908

0.024225

0.736548

0.726765

0.712089

0.6471

0

0.025185

0.280224

7,337

242

89

30.318182

0.78773

0.009541

0

0.688995

0

0.064307

0.012531

0

1

0.014354

false

0

0.052632

0

0.07177

0.043062

0

null

0

1

0

1

0

null

0

4

e33fb4bf93f1b084c8ddd0e19b03d5287591547a

123

py

Python

handler.py

samsonjj/learning-code-deploy

3906e1cd222b1fa07e9a3189d498b25963349400

[ "Apache-2.0" ]

null

handler.py

samsonjj/learning-code-deploy

3906e1cd222b1fa07e9a3189d498b25963349400

[ "Apache-2.0" ]

null

handler.py

samsonjj/learning-code-deploy

3906e1cd222b1fa07e9a3189d498b25963349400

[ "Apache-2.0" ]

null

def handle_request(): print("hello world!") return "hello world!" if __name__ == '__main__': handle_request()

17.571429

26

0.650407

14

123

5

0.714286

0.371429

0

0.203252

123

6

27

20.5

0.714286

0

0.260163

0

1

0.2

true

0

0.4

0.2

1

0

null

1

0

1

0

null

0

1

0

4

e350d462a0db36f527fd49bef3a6cef8aa218a07

248

py

Python

plugins/dialectizer/lower.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

16

2015-01-02T00:16:11.000Z

2019-06-03T06:23:11.000Z

plugins/dialectizer/lower.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

31

2015-01-18T12:14:53.000Z

2018-01-07T13:32:29.000Z

plugins/dialectizer/lower.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

9

2015-02-13T09:38:53.000Z

2020-11-29T19:59:32.000Z

# coding=utf-8 """ Lowercase dialectizer """ __author__ = "Gareth Coles" from plugins.dialectizer import Dialectizer class Lower(Dialectizer): """ Lowercase dialectizer """ def sub(self, string): return string.lower()

13.052632

43

0.66129

25

248

6.4

0.72

0.25

0

0.005181

0.221774

248

18

44

13.777778

0.823834

0.229839

0

0.071429

0

1

0.2

false

0

0.2

0.8

0

1

0

null

1

0

null

0

1

0

4

e35337fa9a37627ba458b965a5885017dc7239f1

592

py

Python

autocheck/__main__.py

htmue/python-autocheck

d97b2b21697e7bada5e33229efe075a668b3bbf3

[ "Unlicense" ]

4

2015-04-20T23:55:11.000Z

2016-08-26T10:38:11.000Z

autocheck/__main__.py

htmue/python-autocheck

d97b2b21697e7bada5e33229efe075a668b3bbf3

[ "Unlicense" ]

null

autocheck/__main__.py

htmue/python-autocheck

d97b2b21697e7bada5e33229efe075a668b3bbf3

[ "Unlicense" ]

null

# -*- coding:utf-8 -*- # Created by Hans-Thomas on 2011-05-13. #============================================================================= # __main__.py --- Test runner entry point #============================================================================= from __future__ import absolute_import, unicode_literals import os.path import sys from .main import main if sys.argv[0].endswith('__main__.py'): sys.argv[0:1] = [os.path.abspath(sys.executable), '-m', 'autocheck'] main() #............................................................................. # __main__.py

28.190476

78

0.415541

54

592

4.222222

0.648148

0.078947

0.070175

0

0.02243

0.096284

592

20

79

29.6

0.403738

0.58277

0

0.09205

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

e36129e68ed6d7a6c33e20e1ee089e4c0517f538

151

py

Python

Courses/1 month/3 week/day 5/123.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

[ "MIT" ]

null

Courses/1 month/3 week/day 5/123.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

[ "MIT" ]

null

Courses/1 month/3 week/day 5/123.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

[ "MIT" ]

null

string = "Emir Nazira Zarina Aijana Sultan Danil Adis" string = string.replace('Emir', 'Baizak') string = string.replace('Nazira', 'l') print(string)

25.166667

54

0.721854

20

151

5.45

0.6

0.220183

0.348624

0

0.125828

151

6

55

25.166667

0.825758

0

0.394737

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

4

e3641a7fdc75852e9afd5539dd38436b40f27746

104

py

Python

abc/075/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

2

2022-01-22T07:56:58.000Z

2022-01-24T00:29:37.000Z

abc/075/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

abc/075/A.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

A, B, C = map(int, input().split()) if A == B: print(C) elif A == C: print(B) else: print(A)

14.857143

35

0.490385

20

104

2.55

0.55

0.078431

0

0.278846

104

7

36

14.857143

0.68

0

1

0

true

0

0.428571

1

0

null

0

1

0

null

0

1

0

1

0

4

e36b102f3a9e8df98cb977fbc6e46a7d25cb2234

116

py

Python

ramda/remove.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

1

2022-03-14T07:35:13.000Z

ramda/remove.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

3

2022-03-24T02:30:18.000Z

2022-03-31T07:46:04.000Z

ramda/remove.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

null

from .private._curry3 import _curry3 remove = _curry3(lambda start, count, arr: arr[:start] + arr[start + count:])

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77

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0

null

0

1

0

4

8b657cc49dbf3600d2b63776448476d18909576d

246

py

Python

hdltools/codegen/__init__.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

2

2020-02-28T13:02:39.000Z

2021-06-30T09:15:35.000Z

hdltools/codegen/__init__.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

1

2020-03-22T17:32:45.000Z

2020-03-23T15:43:39.000Z

hdltools/codegen/__init__.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

null

"""Code generation primitives.""" import hdltools.verilog.codegen import hdltools.specc.codegen BUILTIN_CODE_GENERATORS = { "verilog": hdltools.verilog.codegen.VerilogCodeGenerator, "specc": hdltools.specc.codegen.SpecCCodeGenerator, }

24.6

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246

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0

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0

1

0

4

8b774a69af03bcaeee97496d1e1c622b6386368e

123

py

Python

1097.py

FahimFBA/URI-Problem-Solve

d718a95e5a873dffbce19d850998e8917ec87ebb

[ "Apache-2.0" ]

3

2020-11-25T19:05:31.000Z

2021-03-29T07:29:36.000Z

1097.py

FahimFBA/URI-Problem-Solve

d718a95e5a873dffbce19d850998e8917ec87ebb

[ "Apache-2.0" ]

null

1097.py

FahimFBA/URI-Problem-Solve

d718a95e5a873dffbce19d850998e8917ec87ebb

[ "Apache-2.0" ]

null

i = 1 j = 7 while(i<10): for x in range(3): print("I=%d J=%d" %(i,j)) j += -1 i += 2 j = i + 6

13.666667

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0.341463

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123

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9

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1

null

0

1

0

1

0

null

0

4

8b87e66d4743ed28e552250b874d24e377cd7bf6

42

py

Python

media/transcripts/chess_byKNdsN.py

pandeyarjun242/submission

811fb8ed5854531848aa430c5c998b8e6c463137

[ "MIT" ]

null

media/transcripts/chess_byKNdsN.py

pandeyarjun242/submission

811fb8ed5854531848aa430c5c998b8e6c463137

[ "MIT" ]

null

media/transcripts/chess_byKNdsN.py

pandeyarjun242/submission

811fb8ed5854531848aa430c5c998b8e6c463137

[ "MIT" ]

null

class Black(): is_checkmated = False

14

26

0.666667

5

42

5.4

1

0

0.238095

42

2

27

21

0.84375

0

1

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0

1

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1

0

null

0

1

0

null

0

1

0

4

8b925a1db501a1e691685298af3ab930a5064b76

166

py

Python

Coding/Python_Prgs/itertools.product().py

Phantom586/My_Codes

900c4e5e95ab833e4f78f1594e3b25178a74f1a7

[ "MIT" ]

null

Coding/Python_Prgs/itertools.product().py

Phantom586/My_Codes

900c4e5e95ab833e4f78f1594e3b25178a74f1a7

[ "MIT" ]

null

Coding/Python_Prgs/itertools.product().py

Phantom586/My_Codes

900c4e5e95ab833e4f78f1594e3b25178a74f1a7

[ "MIT" ]

null

from itertools import product A = list(map(int, input().split())) B = list(map(int, input().split())) prod = list(product(A, B)) for i in prod: print(i, end=' ')

23.714286

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null

0

1

0

1

0

null

0

4

8bb028783f2c1bd38bbe91a33c613a234bb51ec2

183

py

Python

gamma/ui_action_listener.py

ArtBIT/gamma

4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1

[ "MIT" ]

15

2021-07-19T05:54:00.000Z

2022-03-16T10:24:30.000Z

gamma/ui_action_listener.py

ArtBIT/gamma

4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1

[ "MIT" ]

1

2022-02-07T21:27:42.000Z

2022-02-09T12:32:28.000Z

gamma/ui_action_listener.py

ArtBIT/gamma

4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1

[ "MIT" ]

3

2022-01-13T10:12:02.000Z

2022-02-08T11:55:29.000Z

class ActionListener: def __init__(self, function): self.function = function def execute(self): if self.function is not None: self.function()

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183

5.35

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8

38

22.875

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1

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0

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null

1

0

1

0

null

0

1

0

4

8bc6312ec3edc6b472a0e28d2ba2b6117566b95e

176

py

Python

vubtt/commands/cmd_list.py

VUBTimetable/cli

9b5159ae3b750ee87a418a55a7bc239986f37b05

[ "MIT" ]

null

vubtt/commands/cmd_list.py

VUBTimetable/cli

9b5159ae3b750ee87a418a55a7bc239986f37b05

[ "MIT" ]

null

vubtt/commands/cmd_list.py

VUBTimetable/cli

9b5159ae3b750ee87a418a55a7bc239986f37b05

[ "MIT" ]

null

import click def cli(context): # read all from file # output all items # internal id (enumerate index), course name # internal activity id, activity name

19.555556

48

0.664773

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176

5.086957

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0.272727

176

8

49

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0.914063

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0

null

0

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null

0

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null

0

1

0

null

0

1

0

1

0

4

473f1b3f389250b1ed43cddf25eaeb8309285abd

333

py

Python

data-extraction/python-spark/fake_job.py

gabrielclimb/intro-to-ml-with-kubeflow-examples

cc5cf30212a88f1c5c97d4c65e6d35824f468669

[ "Apache-2.0" ]

150

2019-01-13T09:47:34.000Z

2022-03-27T18:43:39.000Z

data-extraction/python-spark/fake_job.py

gabrielclimb/intro-to-ml-with-kubeflow-examples

cc5cf30212a88f1c5c97d4c65e6d35824f468669

[ "Apache-2.0" ]

28

2019-03-20T09:31:19.000Z

2021-11-13T10:16:58.000Z

data-extraction/python-spark/fake_job.py

gabrielclimb/intro-to-ml-with-kubeflow-examples

cc5cf30212a88f1c5c97d4c65e6d35824f468669

[ "Apache-2.0" ]

63

2019-01-13T01:45:54.000Z

2022-03-18T04:28:56.000Z

# Yes we need both these imports #tag::imports[] from pyspark.sql import SparkSession from pyspark.sql.functions import col, to_date from pyspark.sql.types import * #end::imports[] from pyspark.sql.catalog import UserDefinedFunction import os #tag::basic_session[] session = SparkSession.builder.getOrCreate() #end::basic_session[]

25.615385

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333

5.673913

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0.102102

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12

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0

1

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null

0

1

0

null

0

1

0

1

0

4

475731af2dd17950c6cb5daf1636d15da86a3f69

191

py

Python

lemon/protocol/Register/RegisterStatus.py

lemon-chat/lemon-server-python

5947b52b3c4535ae54fe2705a830db07fdaf741d

[ "MIT" ]

null

lemon/protocol/Register/RegisterStatus.py

lemon-chat/lemon-server-python

5947b52b3c4535ae54fe2705a830db07fdaf741d

[ "MIT" ]

null

lemon/protocol/Register/RegisterStatus.py

lemon-chat/lemon-server-python

5947b52b3c4535ae54fe2705a830db07fdaf741d

[ "MIT" ]

null

# automatically generated by the FlatBuffers compiler, do not modify # namespace: Register class RegisterStatus(object): Success = 0 FailUnknown = 1 FailUserNameConflicted = 2

19.1

68

0.743455

20

191

7.1

1

0

0.019737

0.204188

191

9

69

21.222222

0.914474

0.450262

0

1

0

1

0

false

0

1

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1

0

null

0

1

0

1

0

null

0

1

0

4

47ac7c220f7f5cb2e4e6a9c08244b74f98763773

228

py

Python

src/util/request_interceptor.py

SupriyaGupta17/hybrid_similarity_api

5917680642cb3efc641f5fe066d65dec54cff09d

[ "Apache-2.0" ]

null

src/util/request_interceptor.py

SupriyaGupta17/hybrid_similarity_api

5917680642cb3efc641f5fe066d65dec54cff09d

[ "Apache-2.0" ]

null

src/util/request_interceptor.py

SupriyaGupta17/hybrid_similarity_api

5917680642cb3efc641f5fe066d65dec54cff09d

[ "Apache-2.0" ]

null

""" request_interceptor.py ~~~~~~ Created By : Pankaj Suthar """ def intercept_request(request): """ intercept_request :param request: Flask Request Object :return: updated request """ pass

15.2

40

0.614035

22

228

6.227273

0.681818

0.233577

0

0.267544

228

14

41

16.285714

0.820359

0.596491

0

1

0.5

false

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

1

0

4

47e11491788daebc158e3c46c89dc052903f92d2

370

py

Python

hcc_ws/devel/lib/python2.7/dist-packages/darknet_ros_msgs/msg/__init__.py

Jackie890621/Localization_by_Apriltag

8c97467c46f6e241d9838ec86ac752e1065a831e

[ "MIT" ]

3

2021-08-20T03:25:37.000Z

2022-03-31T02:47:28.000Z

hcc_ws/devel/lib/python2.7/dist-packages/darknet_ros_msgs/msg/__init__.py

Jackie890621/Localization_by_Apriltag

8c97467c46f6e241d9838ec86ac752e1065a831e

[ "MIT" ]

null

hcc_ws/devel/lib/python2.7/dist-packages/darknet_ros_msgs/msg/__init__.py

Jackie890621/Localization_by_Apriltag

8c97467c46f6e241d9838ec86ac752e1065a831e

[ "MIT" ]

1

2021-03-31T06:27:31.000Z

from ._BoundingBox import * from ._BoundingBoxes import * from ._CheckForObjectsAction import * from ._CheckForObjectsActionFeedback import * from ._CheckForObjectsActionGoal import * from ._CheckForObjectsActionResult import * from ._CheckForObjectsFeedback import * from ._CheckForObjectsGoal import * from ._CheckForObjectsResult import * from ._ObjectCount import *

33.636364

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0.837838

30

370

10

0.4

0.3

0

0.108108

370

10

46

37

0.909091

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

47f11eb185a18b29a7d13469c796194bce3f1ca5

40

py

Python

core/apistatus.py

Karox/hakuf

bbb434df73bbe058cf5260064dcf6eb2f8e98cc9

[ "MIT" ]

7

2017-12-30T20:57:43.000Z

2020-03-22T00:15:26.000Z

core/apistatus.py

Karox/hakuf

bbb434df73bbe058cf5260064dcf6eb2f8e98cc9

[ "MIT" ]

null

core/apistatus.py

Karox/hakuf

bbb434df73bbe058cf5260064dcf6eb2f8e98cc9

[ "MIT" ]

3

2017-09-14T13:18:05.000Z

2020-02-10T15:56:54.000Z

class Api: enabled = False api = Api()

10

16

0.65

6

40

4.333333

0.666667

0

0.225

40

4

17

10

0.83871

0

1

0

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0

0.666667

0

1

0

null

0

1

0

null

0

1

0

4

47f3d6a037d1ebd6fc762378d829ed62cc0a70ed

329

py

Python

Core/ResponseBuilder.py

tinyurl-com-ItsBigBrainTimeXD/backend

4d360ed02aa5475279af03e4f4300dde6ccc3391

[ "MIT" ]

null

Core/ResponseBuilder.py

tinyurl-com-ItsBigBrainTimeXD/backend

4d360ed02aa5475279af03e4f4300dde6ccc3391

[ "MIT" ]

null

Core/ResponseBuilder.py

tinyurl-com-ItsBigBrainTimeXD/backend

4d360ed02aa5475279af03e4f4300dde6ccc3391

[ "MIT" ]

null

class ResponseBuilder(object): def __init__(self, status_code: int, result = None): """Builder for the response""" self.status_code = status_code self.result = result def get_response(self): return { 'result': self.result, 'status_code': self.status_code }

29.909091

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0

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11

57

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0.056667

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false

0

0.111111

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0

null

1

0

null

0

1

0

1

0

4

9a21dc02ae4f1893a3b958bfec158289134d3f0c

214

py

Python

tests/conftest.py

fredrikaverpil/mylittleci

a0b8c5e89a2e00867499f224fee5614059b38fa3

[ "MIT" ]

3

2020-04-28T10:43:57.000Z

2021-04-02T09:16:20.000Z

tests/conftest.py

fredrikaverpil/mylittleci

a0b8c5e89a2e00867499f224fee5614059b38fa3

[ "MIT" ]

2

2020-04-27T05:22:18.000Z

2020-05-15T06:54:42.000Z

tests/conftest.py

fredrikaverpil/mylittleci

a0b8c5e89a2e00867499f224fee5614059b38fa3

[ "MIT" ]

null

"""Pytest configuration.""" import pathlib import pytest @pytest.fixture(name="repo_root") def fixture_repo_root() -> pathlib.Path: """Return the repository root.""" return pathlib.Path("..").resolve()

17.833333

40

0.691589

25

214

5.8

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0.135514

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11

41

19.454545

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0.228972

0

0.071429

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0

null

0

1

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1

0

1

0

4

9a2f14e9786ec0306f3caea635526e29a9c0c542

303

py

Python

examples/pwn/ex_plt.py

alissonbezerra/ptrlib

67a557acfa5069a66dd26670f53d94e63b023642

[ "MIT" ]

57

2019-12-08T00:02:14.000Z

2022-03-24T20:40:40.000Z

examples/pwn/ex_plt.py

alissonbezerra/ptrlib

67a557acfa5069a66dd26670f53d94e63b023642

[ "MIT" ]

3

2020-01-26T03:38:31.000Z

2020-06-21T13:42:46.000Z

examples/pwn/ex_plt.py

alissonbezerra/ptrlib

67a557acfa5069a66dd26670f53d94e63b023642

[ "MIT" ]

8

2020-04-20T08:17:57.000Z

2021-10-04T06:04:51.000Z

#!/usr/bin/env python from ptrlib import * # 64-bit binary elf = ELF("sample/test1") print(hex(elf.got("read"))) print(hex(elf.plt("read"))) print(hex(elf.symbol("main"))) # 32-bit binary elf = ELF("sample/test2") print(hex(elf.got("read"))) print(hex(elf.plt("read"))) print(hex(elf.symbol("main")))

20.2

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303

3.941176

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0.328358

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303

14

31

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0

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1

0

null

0

1

0

4

9a321cae4a24f29b0c4f70291893006ea78ae2a6

142

py

Python

rdfserializer/apps.py

WSWCWaterDataExchange/WaDEControlledVocabulary

38abcd15d6f035b424df82318c75ef02f9f37185

[ "BSD-3-Clause" ]

5

2015-04-28T20:45:35.000Z

2020-10-10T20:24:16.000Z

rdfserializer/apps.py

WSWCWaterDataExchange/WaDEControlledVocabulary

38abcd15d6f035b424df82318c75ef02f9f37185

[ "BSD-3-Clause" ]

64

2015-04-27T22:24:05.000Z

2021-06-10T17:43:21.000Z

rdfserializer/apps.py

WSWCWaterDataExchange/WaDEControlledVocabulary

38abcd15d6f035b424df82318c75ef02f9f37185

[ "BSD-3-Clause" ]

7

2017-03-04T15:02:33.000Z

2022-01-18T22:11:12.000Z

from __future__ import unicode_literals from django.apps import AppConfig class RdfserializerConfig(AppConfig): name = 'rdfserializer'

17.75

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7.333333

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7

40

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null

0

1

0

1

0

4

9a46bfdedafa341ab285fdf133251d59026f0b67

1,952

py

Python

numpy/typing/tests/data/reveal/constants.py

AnirudhDagar/numpy

77bc3225e6f4badf83190ec300a0e10e56949644

[ "BSD-3-Clause" ]

5

2021-08-23T06:23:15.000Z

2022-02-05T07:27:30.000Z

numpy/typing/tests/data/reveal/constants.py

AnirudhDagar/numpy

77bc3225e6f4badf83190ec300a0e10e56949644

[ "BSD-3-Clause" ]

87

2021-07-01T21:01:26.000Z

2022-03-28T08:12:02.000Z

numpy/typing/tests/data/reveal/constants.py

AnirudhDagar/numpy

77bc3225e6f4badf83190ec300a0e10e56949644

[ "BSD-3-Clause" ]

1

2019-11-05T15:23:08.000Z

import numpy as np reveal_type(np.Inf) # E: float reveal_type(np.Infinity) # E: float reveal_type(np.NAN) # E: float reveal_type(np.NINF) # E: float reveal_type(np.NZERO) # E: float reveal_type(np.NaN) # E: float reveal_type(np.PINF) # E: float reveal_type(np.PZERO) # E: float reveal_type(np.e) # E: float reveal_type(np.euler_gamma) # E: float reveal_type(np.inf) # E: float reveal_type(np.infty) # E: float reveal_type(np.nan) # E: float reveal_type(np.pi) # E: float reveal_type(np.ALLOW_THREADS) # E: int reveal_type(np.BUFSIZE) # E: Literal[8192] reveal_type(np.CLIP) # E: Literal[0] reveal_type(np.ERR_CALL) # E: Literal[3] reveal_type(np.ERR_DEFAULT) # E: Literal[521] reveal_type(np.ERR_IGNORE) # E: Literal[0] reveal_type(np.ERR_LOG) # E: Literal[5] reveal_type(np.ERR_PRINT) # E: Literal[4] reveal_type(np.ERR_RAISE) # E: Literal[2] reveal_type(np.ERR_WARN) # E: Literal[1] reveal_type(np.FLOATING_POINT_SUPPORT) # E: Literal[1] reveal_type(np.FPE_DIVIDEBYZERO) # E: Literal[1] reveal_type(np.FPE_INVALID) # E: Literal[8] reveal_type(np.FPE_OVERFLOW) # E: Literal[2] reveal_type(np.FPE_UNDERFLOW) # E: Literal[4] reveal_type(np.MAXDIMS) # E: Literal[32] reveal_type(np.MAY_SHARE_BOUNDS) # E: Literal[0] reveal_type(np.MAY_SHARE_EXACT) # E: Literal[-1] reveal_type(np.RAISE) # E: Literal[2] reveal_type(np.SHIFT_DIVIDEBYZERO) # E: Literal[0] reveal_type(np.SHIFT_INVALID) # E: Literal[9] reveal_type(np.SHIFT_OVERFLOW) # E: Literal[3] reveal_type(np.SHIFT_UNDERFLOW) # E: Literal[6] reveal_type(np.UFUNC_BUFSIZE_DEFAULT) # E: Literal[8192] reveal_type(np.WRAP) # E: Literal[1] reveal_type(np.tracemalloc_domain) # E: Literal[389047] reveal_type(np.little_endian) # E: bool reveal_type(np.True_) # E: numpy.bool_ reveal_type(np.False_) # E: numpy.bool_ reveal_type(np.UFUNC_PYVALS_NAME) # E: Literal['UFUNC_PYVALS'] reveal_type(np.sctypeDict) # E: dict reveal_type(np.sctypes) # E: TypedDict

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9a6a2399b8c7d37acdf11fa32cf9815c04a1f974

816

py

Python

lib/systems/butanone.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/butanone.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/butanone.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

import pulsar as psr def load_ref_system(): """ Returns butanone as found in the IQMol fragment library. All credit to https://github.com/nutjunkie/IQmol """ return psr.make_system(""" C 1.8315 -0.5838 -0.0465 C 0.5005 0.1194 0.0287 C -0.7017 -0.7997 -0.0095 C -2.0319 -0.0893 -0.0850 O 0.4197 1.3291 0.1161 H 1.9387 -1.0946 -1.0125 H 1.9124 -1.3434 0.7418 H 2.6813 0.1026 0.0625 H -0.6629 -1.4440 0.8918 H -0.5864 -1.4846 -0.8733 H -2.1884 0.5739 0.7758 H -2.8602 -0.8091 -0.1027 H -2.1111 0.5282 -0.9892 """)

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null

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d03ee7c8c83275e56ab39e16f801059f3f53752e

119

py

Python

carts/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

carts/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

carts/admin.py

Moisestuli/karrata

962ce0c573214bfc83720727c9cacae823a8c372

[ "MIT" ]

null

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

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null

0

1

0

1

0

4

d06876ee782ad5cd28806c3cc8dddcc68add3e83

3,236

py

Python

gerber/operations.py

Dheeraj8383/pcb-tools

cf4a61244519f0ba0889beab3d5a3db61c44362d

[ "Apache-2.0" ]

223

2015-01-01T08:29:15.000Z

2022-03-30T22:13:00.000Z

gerber/operations.py

Dheeraj8383/pcb-tools

cf4a61244519f0ba0889beab3d5a3db61c44362d

[ "Apache-2.0" ]

201

2015-01-25T19:27:28.000Z

2022-03-04T04:10:19.000Z

gerber/operations.py

Dheeraj8383/pcb-tools

cf4a61244519f0ba0889beab3d5a3db61c44362d

[ "Apache-2.0" ]

126

2015-01-27T18:34:08.000Z

2022-02-26T20:56:15.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # copyright 2015 Hamilton Kibbe <ham@hamiltonkib.be> # # 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. """ CAM File Operations =================== **Transformations and other operations performed on Gerber and Excellon files** """ import copy def to_inch(cam_file): """ Convert Gerber or Excellon file units to imperial Parameters ---------- cam_file : :class:`gerber.cam.CamFile` subclass Gerber or Excellon file to convert Returns ------- cam_file : :class:`gerber.cam.CamFile` subclass A deep copy of the source file with units converted to imperial. """ cam_file = copy.deepcopy(cam_file) cam_file.to_inch() return cam_file def to_metric(cam_file): """ Convert Gerber or Excellon file units to metric Parameters ---------- cam_file : :class:`gerber.cam.CamFile` subclass Gerber or Excellon file to convert Returns ------- cam_file : :class:`gerber.cam.CamFile` subclass A deep copy of the source file with units converted to metric. """ cam_file = copy.deepcopy(cam_file) cam_file.to_metric() return cam_file def offset(cam_file, x_offset, y_offset): """ Offset a Cam file by a specified amount in the X and Y directions. Parameters ---------- cam_file : :class:`gerber.cam.CamFile` subclass Gerber or Excellon file to offset x_offset : float Amount to offset the file in the X direction y_offset : float Amount to offset the file in the Y direction Returns ------- cam_file : :class:`gerber.cam.CamFile` subclass An offset deep copy of the source file. """ cam_file = copy.deepcopy(cam_file) cam_file.offset(x_offset, y_offset) return cam_file def scale(cam_file, x_scale, y_scale): """ Scale a Cam file by a specified amount in the X and Y directions. Parameters ---------- cam_file : :class:`gerber.cam.CamFile` subclass Gerber or Excellon file to scale x_scale : float X-axis scale factor y_scale : float Y-axis scale factor Returns ------- cam_file : :class:`gerber.cam.CamFile` subclass An scaled deep copy of the source file. """ # TODO pass def rotate(cam_file, angle): """ Rotate a Cam file a specified amount about the origin. Parameters ---------- cam_file : :class:`gerber.cam.CamFile` subclass Gerber or Excellon file to rotate angle : float Angle to rotate the file in degrees. Returns ------- cam_file : :class:`gerber.cam.CamFile` subclass An rotated deep copy of the source file. """ # TODO pass

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