xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

8d908b560f3ea402a52cf0b2d3361aec7cd9c64c

380

py

Python

ex12.py

BjornChrisnach/Learn_python_3_The_hard_way

ab187c4755d4878724761bbe5f28678fce27cfc7

[ "MIT" ]

null

ex12.py

BjornChrisnach/Learn_python_3_The_hard_way

ab187c4755d4878724761bbe5f28678fce27cfc7

[ "MIT" ]

null

ex12.py

BjornChrisnach/Learn_python_3_The_hard_way

ab187c4755d4878724761bbe5f28678fce27cfc7

[ "MIT" ]

null

# store the input from the user into age age = input("How old are you? ") # store the input from the user into height height = input(f"You're {age}? Nice. How tall are you? ") # store the input from the user into weight weight = input("How much do you weigh? ") # print the f-string with the age, height and weight print(f"So you're {age} old. {height} tall and {weight} heavy.")

42.222222

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0.702632

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0.371429

0.089888

0.146067

0.191011

0.359551

0.254682

0

0.186842

380

9

64

42.222222

0.864078

0.455263

0

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0

1

0

null

0

3

8d9c963d152fdb2f5e9ffccc8d9bf3fae55f3c6d

39

py

Python

backend/src/config.py

Rutvij-1/ASeniorIsAsking

8ad48aff6897325df1f67ba06530a8647c28a7a0

[ "MIT" ]

null

backend/src/config.py

Rutvij-1/ASeniorIsAsking

8ad48aff6897325df1f67ba06530a8647c28a7a0

[ "MIT" ]

6

2020-05-23T06:12:06.000Z

2022-02-27T05:18:56.000Z

backend/src/config.py

Rutvij-1/ASeniorIsAsking

8ad48aff6897325df1f67ba06530a8647c28a7a0

[ "MIT" ]

4

2020-05-23T04:29:12.000Z

2020-05-23T05:18:25.000Z

REDIS_HOST = "redis" REDIS_PORT = 6379

13

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0.74359

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0.153846

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2

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0

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null

0

1

0

null

0

3

a5cbf9cd9de3702a31c91f74c271678a8b32f558

499

py

Python

Remark/Macros/Copy_Macro.py

kaba2/remark

42a0f91f1f6da49f09dcdfa272542c63c87932e0

[ "MIT" ]

null

Remark/Macros/Copy_Macro.py

kaba2/remark

42a0f91f1f6da49f09dcdfa272542c63c87932e0

[ "MIT" ]

null

Remark/Macros/Copy_Macro.py

kaba2/remark

42a0f91f1f6da49f09dcdfa272542c63c87932e0

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Description: Copy macro # Detail: Copies the input to output. from Remark.Macro_Registry import registerMacro class Copy_Macro(object): def name(self): return 'Copy' def expand(self, parameter, remark): text = parameter return text def expandOutput(self): return True def htmlHead(self, remark): return [] def postConversion(self, remark): None registerMacro('Copy', Copy_Macro())

19.192308

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499

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0.563636

0.088525

0

0.002801

0.284569

499

25

48

19.96

0.851541

0.162325

0

0.019324

0

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0.357143

false

0

0.071429

0.214286

0.785714

0

null

0

null

0

1

0

1

0

3

a5d594e5e839378d46ea91566835e36f7ffff043

2,558

py

Python

nesi/devices/softbox/api/models/service_port_models.py

inexio/NESi

920b23ccaf293733b4b571e4df27929c036257f7

[ "BSD-2-Clause" ]

30

2020-09-03T06:02:38.000Z

2022-03-11T16:34:18.000Z

nesi/devices/softbox/api/models/service_port_models.py

inexio/NESi

920b23ccaf293733b4b571e4df27929c036257f7

[ "BSD-2-Clause" ]

2

2021-01-15T10:33:23.000Z

2021-02-21T21:04:37.000Z

nesi/devices/softbox/api/models/service_port_models.py

inexio/NESi

920b23ccaf293733b4b571e4df27929c036257f7

[ "BSD-2-Clause" ]

3

2020-12-19T09:11:19.000Z

2022-02-07T22:15:34.000Z

from nesi.devices.softbox.api import db class ServicePort(db.Model): id = db.Column(db.Integer(), primary_key=True) name = db.Column(db.String(64)) box_id = db.Column(db.Integer, db.ForeignKey('box.id')) admin_state = db.Column(db.Enum('0', '1', '2'), default='0') # Alcatel: 0 => down, 1 => up, 2 => not-appl; Huawei: 0 => down, 1 => up operational_state = db.Column(db.Enum('0', '1'), default='0') # Alcatel: 0 => down, 1 => up; Huawei: 0 => down, 1 => up connected_id = db.Column(db.Integer(), nullable=False) connected_type = db.Column(db.Enum('port', 'ont', 'cpe'), nullable=False) # Alcatel data pvid = db.Column(db.Integer(), default=None, nullable=True) max_unicast_mac = db.Column(db.Integer(), default=None, nullable=True) qos_profile_id = db.Column(db.Integer(), default=None, nullable=True) pvc = db.Column(db.Boolean(), default=False) # Huawei Data vpi = db.Column(db.String(), default='-') vci = db.Column(db.String(), default='-') flow_type = db.Column(db.Enum('vlan', 'encap', '-'), default='vlan') flow_para = db.Column(db.Enum('untag', 'pppoe', '-'), default='untag') rx = db.Column(db.Integer(), default=560) tx = db.Column(db.Integer(), default=520) rx_cttr = db.Column(db.String(), default='-') tx_cttr = db.Column(db.String(), default='-') max_mac_count = db.Column(db.Integer(), default=600) support_down_multicast_stream = db.Column(db.String(), default='disable') support_igmp_packet = db.Column(db.String(), default='disable') bytes_us = db.Column(db.Integer(), default=448203129) packets_us = db.Column(db.Integer(), default=6386689) bytes_ds = db.Column(db.Integer(), default=430667320) packets_ds = db.Column(db.Integer(), default=6493472) inbound_table_name = db.Column(db.String(), default='ip-traffic-table_520') outbound_table_name = db.Column(db.String(), default='ip-traffic-table_560') label = db.Column(db.String(), default='-') priority = db.Column(db.String(), default='-') pvc_bundle = db.Column(db.Enum('yes', 'no'), default='no') tag_transforms = db.Column(db.String(), default='default') description = db.Column(db.String(), nullable=True, default='') remote_description = db.Column(db.String(), nullable=True, default='') service_port_bundle = db.Column(db.String(), default='-') cos = db.Column(db.String(), default='-') static_mac = db.Column(db.String(), nullable=True, default='') ip_address = db.Column(db.String(), nullable=True, default='')

54.425532

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363

2,558

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0.185027

0.231284

0.175289

0.642727

0.413877

0.281193

0.185027

0.055995

0

0.02983

0.148163

2,558

46

139

55.608696

0.724185

0.05903

0

0.053705

0

1

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false

0

0.025

0

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0

null

0

1

0

null

0

1

0

3

a5e5696b49ccf6e3c053ea59721569f03e3ffa06

201

py

Python

Oldcrap/picture.py

dwu9/mazefun

031111928c6e080e633910fb37d7fa4e7c05da33

[ "MIT" ]

null

Oldcrap/picture.py

dwu9/mazefun

031111928c6e080e633910fb37d7fa4e7c05da33

[ "MIT" ]

1

2018-11-22T16:16:11.000Z

Oldcrap/picture.py

dwu9/mazefun

031111928c6e080e633910fb37d7fa4e7c05da33

[ "MIT" ]

null

import numpy as np from PIL import Image def image_to_array(filename): picture = Image.open(filename) nparray = np.asarray(picture, dtype = int) lines = nparray[:, :, 0] return lines

20.1

46

0.681592

28

201

4.821429

0.714286

0

0.006369

0.218905

201

9

47

22.333333

0.853503

0

1

0.142857

false

0

0.285714

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

3

a5e6eda98316bcdbf0e7556a1b7968c3b5a0ba19

1,924

py

Python

tests/test_advanced_grammar.py

latera/hyaml

4dc020434d25c182f8477ddd5582398e51501274

[ "Apache-2.0" ]

3

2020-04-12T15:55:11.000Z

2021-08-02T16:26:21.000Z

tests/test_advanced_grammar.py

latera/hyaml

4dc020434d25c182f8477ddd5582398e51501274

[ "Apache-2.0" ]

null

tests/test_advanced_grammar.py

latera/hyaml

4dc020434d25c182f8477ddd5582398e51501274

[ "Apache-2.0" ]

null

#!/usr/bin/env python from unittest import main from tests import TranslationCase as TestCase class TestLists(TestCase): def test_list_of_expressions(self): self.assertTranslated( "[1, true, not false, $cdr.Attr:3]", "[1, True, not False, get(get(variables, 'cdr'), 'Attr:3')]", ) def test_empty_list(self): self.assertTranslated("[]", "[]") class TestSubscription(TestCase): def test_subscription(self): self.assertTranslated("$var[0]", "get(variables, 'var')[0]") def test_list_subscription(self): self.assertTranslated("[1, 2, 3][1]", "[1, 2, 3][1]") def test_nested_subscriptions(self): self.assertTranslated("[[1, 2], [2, 3]][1][0]", "[[1, 2], [2, 3]][1][0]") class TestDict(TestCase): def test_empty_dict(self): self.assertTranslated("{}", "{}") def test_simple_dict(self): self.assertTranslated("{abc: 123}", '{"abc": 123}') def test_complex_dict(self): self.assertTranslated( "{abc: 123, bcd: 2 + 4, abyr:1: [1, 2, 3]}", '{"abc": 123, "bcd": 2 + 4, "abyr:1": [1, 2, 3]}', ) class TestPrecedence(TestCase): def test_method_call_precedence(self): self.assertTranslated("6 + 'abc'.length()", "6 + length('abc')") def test_subscription_precedence(self): self.assertTranslated("6 + [1, 2, 3][1]", "6 + [1, 2, 3][1]") def test_negation_precedence(self): self.assertTranslated( "$a.like?('a') or $b.like?('b')", "is_like(get(variables, 'a'), 'a') or is_like(get(variables, 'b'), 'b')", ) def test_float_precedence(self): self.assertTranslated("0.1 == 0.1", "0.1 == 0.1") self.assertTranslated("0.1 != 0.1", "0.1 != 0.1") class TestEscaping(TestCase): def test_strings_with_backslash_are_escaped(self): self.assertTranslated("'\\s'", "'\\\\s'")

30.0625

85

0.579522

247

1,924

4.384615

0.271255

0.258541

0.288089

0.022161

0.290859

0.175439

0.086796

0

0.052209

0.223493

1,924

63

86

30.539683

0.672691

0.010395

0

0.069767

0

0.093023

0.276931

0.023121

0

0.325581

1

0.302326

false

0

0.046512

0

0.465116

0

null

1

0

null

0

1

0

3

9388c3bb6df98bd29b6eb7ae0de6063167edac44

600

py

Python

segment_double_line/train.py

hushukai/Chinese-ancient-book-recognition-HSK

de5b6474dc4346524d95b405223c721aae5b500b

[ "Apache-2.0" ]

2

2020-04-12T08:33:50.000Z

2020-07-03T09:15:56.000Z

segment_double_line/train.py

yufish/Chinese-ancient-book-recognition-HSK

c7302fdd6e86b57223cfa1906e8bb365702c8240

[ "Apache-2.0" ]

null

segment_double_line/train.py

yufish/Chinese-ancient-book-recognition-HSK

c7302fdd6e86b57223cfa1906e8bb365702c8240

[ "Apache-2.0" ]

4

2020-07-03T09:15:58.000Z

2020-07-17T09:24:08.000Z

# -*- encoding: utf-8 -*- # Author: hushukai from segment_base.train import main as train from config import SEGMENT_DOUBLE_LINE_TAGS_FILE_H, SEGMENT_DOUBLE_LINE_TAGS_FILE_V from config import SEGMENT_DOUBLE_LINE_TFRECORDS_H, SEGMENT_DOUBLE_LINE_TFRECORDS_V def main(): train(data_file=SEGMENT_DOUBLE_LINE_TFRECORDS_V, src_type="tfrecords", text_type="vertical", segment_task="double_line", epochs=100, init_epochs=0, model_struc="densenet_gru", weights_path="") if __name__ == '__main__': main() print("Done !")

26.086957

83

0.693333

78

600

4.820513

0.525641

0.159574

0.226064

0.207447

0.406915

0.175532

0

0.010593

0.213333

600

22

84

27.272727

0.786017

0.066667

0

0.096948

0

1

0.066667

true

0

0.2

0

0.266667

0.066667

0

null

0

1

0

null

0

1

0

3

93c6e110daf86696d346ae281db88f2ce460a615

1,016

py

Python

is_palindrome.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

is_palindrome.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

is_palindrome.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

#another way of doing recursive palindrome def is_palindrome(s): ln = len(s) if s != '': if s[ln-1] == s[0]: return True and is_palindrome(s[1:ln-1]) return False return True assert is_palindrome('abab') == False assert is_palindrome('abba') == True assert is_palindrome('madam') == True assert is_palindrome('madame') == False assert is_palindrome('') == True #non recursive loop method def is_palindrome_loop(s): ln = len(s) for i in xrange(ln/2): if not (s[i] == s[ln-i-1]): return False return True assert is_palindrome_loop('abab') == False assert is_palindrome_loop('abba') == True assert is_palindrome_loop('madam') == True assert is_palindrome_loop('madame') == False assert is_palindrome_loop('') == True #easier pythonic way def is_pal_easy(s): return s == s[::-1] assert is_pal_easy('abab') == False assert is_pal_easy('abba') == True assert is_pal_easy('madam') == True assert is_pal_easy('madame') == False assert is_pal_easy('') == True

27.459459

52

0.673228

158

1,016

4.132911

0.227848

0.183767

0.275651

0.202144

0.606432

0.122511

0

0.008403

0.180118

1,016

36

53

28.222222

0.77551

0.083661

0

0.142857

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0.061422

0

0.535714

1

0.107143

false

0

0.035714

0.25

0

null

0

1

0

null

0

1

0

3

93c86a2ae89d65dbe5f20d98ba57392a628a5ac5

138

py

Python

cliente_vip/vip.py

rafael-ds/controle-de-estacionamento

8efae352f77d82881bdfc91e25f3e814ddfa2bc8

[ "MIT" ]

null

cliente_vip/vip.py

rafael-ds/controle-de-estacionamento

8efae352f77d82881bdfc91e25f3e814ddfa2bc8

[ "MIT" ]

null

cliente_vip/vip.py

rafael-ds/controle-de-estacionamento

8efae352f77d82881bdfc91e25f3e814ddfa2bc8

[ "MIT" ]

null

lista_cadastro = [] def placa_v(): if len(lista_cadastro) > 0: print('tem placa ') else: print('não tem placa')

15.333333

31

0.557971

18

138

4.111111

0.666667

0.351351

0

0.010417

0.304348

138

8

32

17.25

0.760417

0

0.166667

0

1

0.166667

false

0

0.166667

0.333333

1

0

null

1

0

1

0

null

0

3

93ca72083942c213d0db02c732d799de02c72391

765

py

Python

SparseMeasurements/Analysis.py

danielfreeman11/thermal-toric-code

3718f1b16737dfae09443466f6cfb65036faaa89

[ "MIT" ]

6

2017-11-15T00:54:13.000Z

2021-11-21T02:08:21.000Z

SparseMeasurements/Analysis.py

danielfreeman11/thermal-toric-code

3718f1b16737dfae09443466f6cfb65036faaa89

[ "MIT" ]

null

SparseMeasurements/Analysis.py

danielfreeman11/thermal-toric-code

3718f1b16737dfae09443466f6cfb65036faaa89

[ "MIT" ]

null

import os import numpy import sys os.chdir('../Runs/') files = os.listdir('.') datadict = {} for j in [1.0,1.5,2.0]: for i in xrange(20): datadict[str(7*2*i),j]=[] chi = float(sys.argv[1]) for ff in files: with open(ff) as f: lines = f.readlines() for line in lines: l = line.split("\t") datadict[l[2],float(l[3])].append(float(l[4])) for i in [2,3,4,5,6,7,8,9,10,11,12,13]: print 7*i*2,"\t",numpy.mean(datadict[str(7*2*i),chi]),"\t",numpy.std(datadict[str(7*2*i),chi]),"\t",(numpy.std(datadict[str(7*2*i),chi]/numpy.sqrt(len(datadict[str(7*2*i),chi]))))/numpy.mean(datadict[str(7*2*i),chi]),"\t",len(datadict[str(7*2*i),chi]) #os.chdir('../bin/') #with open("hist.out","a+") as f: # for i in datadict["56",1.0]: # f.write(str(i) + "\n")

23.181818

252

0.596078

161

765

2.832298

0.354037

0.16886

0.184211

0.199561

0.359649

0.328947

0.230263

0.151316

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0.071217

0.118954

765

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0.028919

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0.055556

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null

0

1

0

3

93efad6e758ab13e658529c37547bad2224488d8

23

py

Python

view/__init__.py

allspatial/vertex-tools

b885fdb226fbff5af07f13e6727fb03032db6a3d

[ "MIT" ]

null

view/__init__.py

allspatial/vertex-tools

b885fdb226fbff5af07f13e6727fb03032db6a3d

[ "MIT" ]

null

view/__init__.py

allspatial/vertex-tools

b885fdb226fbff5af07f13e6727fb03032db6a3d

[ "MIT" ]

null

__author__ = 'mwagner'

11.5

22

0.73913

2

23

6.5

1

0

0.130435

23

1

23

0.65

0

0.304348

0

1

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false

0

1

0

null

0

1

0

null

0

3

93fc012788abe7b656aa36b1575951c76e46b675

530

py

Python

util.py

davleop/claude

09ee880d502dcad8cc1a8d2fd681978b812d32dd

[ "MIT" ]

null

util.py

davleop/claude

09ee880d502dcad8cc1a8d2fd681978b812d32dd

[ "MIT" ]

null

util.py

davleop/claude

09ee880d502dcad8cc1a8d2fd681978b812d32dd

[ "MIT" ]

null

import numpy as np import claude_low_level_library as low_level import claude_top_level_library as top_level def grid_lat(mul, xx, yy, rad): return (mul * np.arccos(((xx**2 + yy**2)**0.5)/rad)*180.0/np.pi).flatten() def grid_lon(xx, yy): return (180.0 - np.arctan2(yy,xx)*180.0/np.pi).flatten() def cos_mul_sin(rad, lat, lon, i, j): return rad * np.cos(lat[i]*np.pi/180.0) * np.sin(lon[j]*np.pi/180.0) def cos_mul_cos(rad, lat, lon, i, j): return rad * np.cos(lat[i]*np.pi/180.0) * np.cos(lon[j]*np.pi/180.0)

31.176471

78

0.660377

114

530

2.947368

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0.083333

0.089286

0.095238

0.410714

0.232143

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0.072527

0.141509

530

16

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0

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false

0

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1

0

null

0

null

0

1

0

1

0

3

93fc3920d71a496ef97501796851e7cb0fe7ecbe

230

py

Python

core/management/commands/init_envs.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

97

2016-11-15T14:44:23.000Z

2022-03-13T18:09:15.000Z

core/management/commands/init_envs.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

334

2016-11-17T19:56:57.000Z

2022-03-18T10:45:53.000Z

core/management/commands/init_envs.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

33

2017-01-02T16:04:13.000Z

2022-02-07T19:20:24.000Z

from ._base import DanubeCloudCommand, CommandError class Command(DanubeCloudCommand): help = 'Initialize the virtual environments.' def handle(self, *args, **options): raise CommandError('Use ctl.sh directly')

25.555556

51

0.730435

24

230

6.958333

0.916667

0

0.173913

230

8

52

28.75

0.878947

0

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9e2050f407617d9fa74e0130e228c464faee6fe3

303

py

Python

vui/__init__.py

eterevsky/pygui

48bf4175c645d7d043effbada59beae2fb937f2e

[ "MIT" ]

1

2020-08-03T15:26:16.000Z

vui/__init__.py

eterevsky/pygui

48bf4175c645d7d043effbada59beae2fb937f2e

[ "MIT" ]

null

vui/__init__.py

eterevsky/pygui

48bf4175c645d7d043effbada59beae2fb937f2e

[ "MIT" ]

null

from .image import Image from .layout import (RootLayout, StackLayout, HStackLayout, VStackLayout, LayersLayout, Spacer) from .observable import Attribute, MaybeObservable, Observable, make_observable from .pane import Pane from .view import View, HAlign, VAlign from . import event

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9e240cd0602172d398940287f55aa431bcee10e2

12,308

py

Python

tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/trackable_object_graph_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

1

2021-12-02T15:06:09.000Z

tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/trackable_object_graph_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

null

tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/trackable_object_graph_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

null

'Generated protocol buffer code.' from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor(name='tensorflow/core/protobuf/trackable_object_graph.proto', package='tensorflow', syntax='proto3', serialized_options=b'ZUgithub.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto\xf8\x01\x01', create_key=_descriptor._internal_create_key, serialized_pb=b'\n5tensorflow/core/protobuf/trackable_object_graph.proto\x12\ntensorflow"\x83\x05\n\x14TrackableObjectGraph\x12?\n\x05nodes\x18\x01 \x03(\x0b20.tensorflow.TrackableObjectGraph.TrackableObject\x1a\xa9\x04\n\x0fTrackableObject\x12R\n\x08children\x18\x01 \x03(\x0b2@.tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference\x12U\n\nattributes\x18\x02 \x03(\x0b2A.tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor\x12^\n\x0eslot_variables\x18\x03 \x03(\x0b2F.tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference\x1a6\n\x0fObjectReference\x12\x0f\n\x07node_id\x18\x01 \x01(\x05\x12\x12\n\nlocal_name\x18\x02 \x01(\t\x1ae\n\x10SerializedTensor\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\tfull_name\x18\x02 \x01(\t\x12\x16\n\x0echeckpoint_key\x18\x03 \x01(\t\x12\x18\n\x10optional_restore\x18\x04 \x01(\x08\x1al\n\x15SlotVariableReference\x12!\n\x19original_variable_node_id\x18\x01 \x01(\x05\x12\x11\n\tslot_name\x18\x02 \x01(\t\x12\x1d\n\x15slot_variable_node_id\x18\x03 \x01(\x05BZZUgithub.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto\xf8\x01\x01b\x06proto3') _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE = _descriptor.Descriptor(name='ObjectReference', full_name='tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='node_id', full_name='tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference.node_id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='local_name', full_name='tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference.local_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=446, serialized_end=500) _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SERIALIZEDTENSOR = _descriptor.Descriptor(name='SerializedTensor', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='name', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='full_name', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor.full_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='checkpoint_key', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor.checkpoint_key', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='optional_restore', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor.optional_restore', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=502, serialized_end=603) _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE = _descriptor.Descriptor(name='SlotVariableReference', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='original_variable_node_id', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference.original_variable_node_id', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='slot_name', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference.slot_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='slot_variable_node_id', full_name='tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference.slot_variable_node_id', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=605, serialized_end=713) _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT = _descriptor.Descriptor(name='TrackableObject', full_name='tensorflow.TrackableObjectGraph.TrackableObject', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='children', full_name='tensorflow.TrackableObjectGraph.TrackableObject.children', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='attributes', full_name='tensorflow.TrackableObjectGraph.TrackableObject.attributes', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='slot_variables', full_name='tensorflow.TrackableObjectGraph.TrackableObject.slot_variables', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[_TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE, _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SERIALIZEDTENSOR, _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=160, serialized_end=713) _TRACKABLEOBJECTGRAPH = _descriptor.Descriptor(name='TrackableObjectGraph', full_name='tensorflow.TrackableObjectGraph', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='nodes', full_name='tensorflow.TrackableObjectGraph.nodes', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[_TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=70, serialized_end=713) _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE.containing_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SERIALIZEDTENSOR.containing_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE.containing_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT.fields_by_name['children'].message_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT.fields_by_name['attributes'].message_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SERIALIZEDTENSOR _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT.fields_by_name['slot_variables'].message_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT.containing_type = _TRACKABLEOBJECTGRAPH _TRACKABLEOBJECTGRAPH.fields_by_name['nodes'].message_type = _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT DESCRIPTOR.message_types_by_name['TrackableObjectGraph'] = _TRACKABLEOBJECTGRAPH _sym_db.RegisterFileDescriptor(DESCRIPTOR) TrackableObjectGraph = _reflection.GeneratedProtocolMessageType('TrackableObjectGraph', (_message.Message,), {'TrackableObject': _reflection.GeneratedProtocolMessageType('TrackableObject', (_message.Message,), {'ObjectReference': _reflection.GeneratedProtocolMessageType('ObjectReference', (_message.Message,), {'DESCRIPTOR': _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_OBJECTREFERENCE, '__module__': 'tensorflow.core.protobuf.trackable_object_graph_pb2'}), 'SerializedTensor': _reflection.GeneratedProtocolMessageType('SerializedTensor', (_message.Message,), {'DESCRIPTOR': _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SERIALIZEDTENSOR, '__module__': 'tensorflow.core.protobuf.trackable_object_graph_pb2'}), 'SlotVariableReference': _reflection.GeneratedProtocolMessageType('SlotVariableReference', (_message.Message,), {'DESCRIPTOR': _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT_SLOTVARIABLEREFERENCE, '__module__': 'tensorflow.core.protobuf.trackable_object_graph_pb2'}), 'DESCRIPTOR': _TRACKABLEOBJECTGRAPH_TRACKABLEOBJECT, '__module__': 'tensorflow.core.protobuf.trackable_object_graph_pb2'}), 'DESCRIPTOR': _TRACKABLEOBJECTGRAPH, '__module__': 'tensorflow.core.protobuf.trackable_object_graph_pb2'}) _sym_db.RegisterMessage(TrackableObjectGraph) _sym_db.RegisterMessage(TrackableObjectGraph.TrackableObject) _sym_db.RegisterMessage(TrackableObjectGraph.TrackableObject.ObjectReference) _sym_db.RegisterMessage(TrackableObjectGraph.TrackableObject.SerializedTensor) _sym_db.RegisterMessage(TrackableObjectGraph.TrackableObject.SlotVariableReference) DESCRIPTOR._options = None

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f50b9664584a5342a68acf9860b815e8973f978a

161

py

Python

aiocloudflare/api/accounts/workers/scripts/schedules/schedules.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

2

2021-09-14T13:20:55.000Z

2022-02-24T14:18:24.000Z

aiocloudflare/api/accounts/workers/scripts/schedules/schedules.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

46

2021-09-08T08:39:45.000Z

2022-03-29T12:31:05.000Z

aiocloudflare/api/accounts/workers/scripts/schedules/schedules.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

1

2021-12-30T23:02:23.000Z

from aiocloudflare.commons.auth import Auth class Schedules(Auth): _endpoint1 = "accounts" _endpoint2 = "workers/scripts" _endpoint3 = "schedules"

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f51a83bcfdb65ee913246a677a4451dadc38dd3d

468

py

Python

Core/Rcon_Plugins/Rcon_AdminWarn.py

ChenjianS47/SquadPy

80b1f1129efa33c15ebdad9ce822a5dfc940b28c

[ "MIT" ]

1

2021-09-27T07:32:32.000Z

Core/Rcon_Plugins/Rcon_AdminWarn.py

ChenjianS47/SquadPy

80b1f1129efa33c15ebdad9ce822a5dfc940b28c

[ "MIT" ]

null

Core/Rcon_Plugins/Rcon_AdminWarn.py

ChenjianS47/SquadPy

80b1f1129efa33c15ebdad9ce822a5dfc940b28c

[ "MIT" ]

1

2021-09-27T07:33:07.000Z

import Core.Base.Pyscrds_modified as rcon def Rcon_AdminWarn(server_rcon_info, server_name, steam_64id, warning_info): conn = rcon.RconConnection(server=server_rcon_info[server_name]['Server_IP'], port=server_rcon_info[server_name]['RCON_Port'], password=server_rcon_info[server_name]['Server_pw']) warning = 'AdminWarn ' + steam_64id + ' ' + warning_info conn.exec_command(warning) pass

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3

f52deb05a7cb7ce8fa146cd4f0b7c1a0ecf77c3e

99

py

Python

python/alphabetize.py

hsadler/programming-language-examples

7c5f8e0acc05ed9f995e98b824f96c6bc332e83f

[ "MIT" ]

null

python/alphabetize.py

hsadler/programming-language-examples

7c5f8e0acc05ed9f995e98b824f96c6bc332e83f

[ "MIT" ]

null

python/alphabetize.py

hsadler/programming-language-examples

7c5f8e0acc05ed9f995e98b824f96c6bc332e83f

[ "MIT" ]

null

# alphabetize a list of strings import sys strings = sys.argv[1:] strings.sort() print strings

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0

1

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3

f53e6beda7aedc4c9b3c0618f7da1703b18caf16

1,012

py

Python

spacy/en/language_data.py

yuukos/spaCy

e4125383ed7221910ea955eae9b623c02bda64d8

[ "MIT" ]

1

2017-11-18T08:53:26.000Z

spacy/en/language_data.py

yuukos/spaCy

e4125383ed7221910ea955eae9b623c02bda64d8

[ "MIT" ]

null

spacy/en/language_data.py

yuukos/spaCy

e4125383ed7221910ea955eae9b623c02bda64d8

[ "MIT" ]

1

2018-08-25T03:09:50.000Z

# coding: utf8 from __future__ import unicode_literals from .. import language_data as base from ..language_data import update_exc, strings_to_exc, expand_exc from ..symbols import ORTH, LEMMA from .tag_map import TAG_MAP from .word_sets import STOP_WORDS, NUM_WORDS from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, ORTH_ONLY from .morph_rules import MORPH_RULES from .lemmatizer import RULES as LEMMA_RULES from .lemmatizer import INDEX as LEMMA_INDEX from .lemmatizer import EXC as LEMMA_EXC TAG_MAP = dict(TAG_MAP) STOP_WORDS = set(STOP_WORDS) TOKENIZER_EXCEPTIONS = dict(TOKENIZER_EXCEPTIONS) update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(ORTH_ONLY)) update_exc(TOKENIZER_EXCEPTIONS, expand_exc(TOKENIZER_EXCEPTIONS, "'", "’")) update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.EMOTICONS)) update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.ABBREVIATIONS)) __all__ = ["TOKENIZER_EXCEPTIONS", "TAG_MAP", "STOP_WORDS", "MORPH_RULES", "LEMMA_RULES", "LEMMA_INDEX", "LEMMA_EXC"]

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f567baf32fe36048a71c93b05f026b4544448a8c

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py

Python

fast_transformers/events/__init__.py

SamuelCahyawijaya/fast-transformers

6ae8ed4cc50bd037968db4f5062e4d328aae73fe

[ "MIT" ]

3

2021-03-08T05:20:30.000Z

2021-07-12T15:56:33.000Z

fast_transformers/events/__init__.py

SamuelCahyawijaya/fast-transformers

6ae8ed4cc50bd037968db4f5062e4d328aae73fe

[ "MIT" ]

null

fast_transformers/events/__init__.py

SamuelCahyawijaya/fast-transformers

6ae8ed4cc50bd037968db4f5062e4d328aae73fe

[ "MIT" ]

null

# # Copyright (c) 2020 Idiap Research Institute, http://www.idiap.ch/ # Written by Angelos Katharopoulos <angelos.katharopoulos@idiap.ch> # """This module implements a basic event system that allows the transformer internal components to make available any tensor with minimal overhead.""" from .event import Event, AttentionEvent, QKVEvent from .event_dispatcher import EventDispatcher

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f56940076aee3364d0a0c9b67ec6ed642e5c6c3e

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py

Python

src/sima/simo/blueprints/simplewirecoupling.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/simo/blueprints/simplewirecoupling.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/simo/blueprints/simplewirecoupling.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

# # Generated with SimpleWireCouplingBlueprint from dmt.blueprint import Blueprint from dmt.dimension import Dimension from dmt.attribute import Attribute from dmt.enum_attribute import EnumAttribute from dmt.blueprint_attribute import BlueprintAttribute from .simplecoupling import SimpleCouplingBlueprint class SimpleWireCouplingBlueprint(SimpleCouplingBlueprint): """""" def __init__(self, name="SimpleWireCoupling", package_path="sima/simo", description=""): super().__init__(name,package_path,description) self.attributes.append(Attribute("name","string","",default="")) self.attributes.append(Attribute("description","string","",default="")) self.attributes.append(Attribute("_id","string","",default="")) self.attributes.append(BlueprintAttribute("scriptableValues","sima/sima/ScriptableValue","",True,Dimension("*"))) self.attributes.append(BlueprintAttribute("endPoint1","sima/simo/SIMOBodyPoint","",False)) self.attributes.append(BlueprintAttribute("endPoint2","sima/simo/SIMOBodyPoint","",False)) self.attributes.append(EnumAttribute("failureMode","sima/simo/ActivationFailureMode","Failure mode of coupling element")) self.attributes.append(Attribute("failureTime","number","Earliest possible time of failure",default=0.0)) self.attributes.append(Attribute("breakingStrength","number","Breaking strength",default=0.0)) self.attributes.append(Attribute("ea","number","Wire cross section stiffness",default=0.0)) self.attributes.append(Attribute("length","number","Initial, unstretched wire length",default=0.0)) self.attributes.append(Attribute("damping","number","Material damping",default=0.0)) self.attributes.append(Attribute("flexibility","number","Connection flexibility",default=0.0)) self.attributes.append(BlueprintAttribute("guidePointSpecifications","sima/simo/GuidePointSpecification","",True,Dimension("*"))) self.attributes.append(Attribute("constantTensionControl","boolean","Enable constant tension control for this wire",default=True)) self.attributes.append(Attribute("tensionLevel","number","Desired tension level",default=0.0)) self.attributes.append(Attribute("tensionDeadband","number","Tension level deadband",default=0.0)) self.attributes.append(Attribute("maxSpeed","number","Max wire length rate of change",default=0.0)) self.attributes.append(Attribute("activationTime","number","Activation time for constant tension control",default=0.0)) self.attributes.append(Attribute("deactivationTime","number","Deactivation time for constant tension control. If value is less then or equal to activation time, controller will remain active throughout simulation",default=0.0))

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0

null

0

1

0

1

0

null

0

3

f57d34f82a3f8a248815bc66308669158bb1278d

227

py

Python

marmot/exceptions/no_data_error.py

qe-team/marmot

38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff

[ "0BSD" ]

19

2015-08-21T13:06:37.000Z

2021-07-26T09:56:29.000Z

marmot/exceptions/no_data_error.py

qe-team/marmot

38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff

[ "0BSD" ]

36

2015-01-13T13:01:07.000Z

2016-06-22T06:59:59.000Z

marmot/exceptions/no_data_error.py

qe-team/marmot

38e09ff1d0a3025a6b7edeaaf6086ed047ec45ff

[ "0BSD" ]

8

2015-12-11T16:41:47.000Z

2019-04-08T16:28:40.000Z

class NoDataError(Exception): def __init__(self, field, obj, module): message = "Missing field '" + field + "' in the object " + str(obj) + " needed in " + module super(NoDataError, self).__init__(message)

37.833333

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227

5.230769

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227

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101

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0

1

0

null

0

1

0

null

0

1

0

3

f587471d470bf8d72639d5cb5555851da11bbf34

91

py

Python

searchRequestion/searchIssue/qywechat/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

searchRequestion/searchIssue/qywechat/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

searchRequestion/searchIssue/qywechat/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

from django.apps import AppConfig class QywechatConfig(AppConfig): name = 'qywechat'

15.166667

33

0.758242

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91

6.9

0.9

0

0.164835

91

5

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null

0

1

0

null

0

1

0

3

19285b29382a4c573150ed6c479279f14e02cd1e

169

py

Python

tests/tests/class_update.py

yu-i9/mini_python

d62b9040f8427057a20d18340a27bdf2dfc8c22e

[ "MIT" ]

2

2018-06-22T07:07:03.000Z

2018-08-03T04:26:43.000Z

tests/tests/class_update.py

yu-i9/mini_python

d62b9040f8427057a20d18340a27bdf2dfc8c22e

[ "MIT" ]

null

tests/tests/class_update.py

yu-i9/mini_python

d62b9040f8427057a20d18340a27bdf2dfc8c22e

[ "MIT" ]

null

class Test: def initialize(self): self.x = 42 t = Test() t.initialize() def calc(self, n): return self.x + n Test.calc = calc assert t.calc(4) == 46

12.071429

25

0.585799

28

169

3.535714

0.5

0.10101

0

0.040323

0.266272

169

13

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0

null

0

null

0

1

0

1

0

3

197a9e8026a673b56d11f6fb0405561c3f24f4f0

159

py

Python

bmi_calculator/apps.py

MrMohammadY/bmi

cabfdfb9d580f6e4cdea9b0629d4dfcf7090ba22

[ "MIT" ]

2

2021-12-16T10:56:45.000Z

2022-01-27T17:21:47.000Z

bmi_calculator/apps.py

MrMohammadY/bmi

cabfdfb9d580f6e4cdea9b0629d4dfcf7090ba22

[ "MIT" ]

null

bmi_calculator/apps.py

MrMohammadY/bmi

cabfdfb9d580f6e4cdea9b0629d4dfcf7090ba22

[ "MIT" ]

null

from django.apps import AppConfig class BmiCalculatorConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'bmi_calculator'

22.714286

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0.779874

18

159

6.722222

0.888889

0

0.138365

159

6

57

26.5

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0.18239

0

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0

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0

1

0

null

0

1

0

null

0

1

0

3

198e136ab5756fa00e40cbbd60203f4cad60c812

113

py

Python

python/Algorithms/Implementation/Viral Advertising.py

angelopassaro/Hacktoberfest-1

21f90f5d49efba9b1a27f4d9b923f5017ab43f0e

[ "Apache-2.0" ]

1

2020-10-06T01:20:07.000Z

python/Algorithms/Implementation/Viral Advertising.py

angelopassaro/Hacktoberfest-1

21f90f5d49efba9b1a27f4d9b923f5017ab43f0e

[ "Apache-2.0" ]

null

python/Algorithms/Implementation/Viral Advertising.py

angelopassaro/Hacktoberfest-1

21f90f5d49efba9b1a27f4d9b923f5017ab43f0e

[ "Apache-2.0" ]

null

def viralAdvertising(n): return if __name__ == '__main__': n = int(input()) viralAdvertising(n)

10.272727

26

0.619469

12

113

5.166667

0.75

0.548387

0

0.247788

113

10

27

11.3

0.729412

0

0.070796

0

1

0.2

false

0

0.2

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0

1

0

null

1

0

null

0

1

0

3

19a5b9eedf30eb9512c04956641d412b3c00d22f

735

py

Python

testing/run_all_tests.py

denkovarik/EC-Scrape

e6340fe852b204f4813ec6ede4d20138a85644b6

[ "MIT" ]

null

testing/run_all_tests.py

denkovarik/EC-Scrape

e6340fe852b204f4813ec6ede4d20138a85644b6

[ "MIT" ]

null

testing/run_all_tests.py

denkovarik/EC-Scrape

e6340fe852b204f4813ec6ede4d20138a85644b6

[ "MIT" ]

null

import os, io, sys, inspect currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os.path.dirname(currentdir) sys.path.insert(0, parentdir) print("Running Tests for Uniprot Class") os.system(currentdir + "\\Uniprot_tests.py") print("") print("Running Tests for NCBI Class") os.system(currentdir + "\\NCBI_tests.py") print("") print("Running Tests for Annot_Reader Class") os.system(currentdir + "\\Annot_Reader_Tests.py") print("") print("Running Tests for BLAST_Rslts_Itr class") os.system(currentdir + "\\BLAST_Rslts_Itr_tests.py") print("") print("Running Tests for Utility Functions") os.system(currentdir + "\\utils_testing.py") os.system(currentdir + "\\run_blast_utils_testing.py")

35

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735

21

87

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0

null

0

1

0

null

0

1

0

3

19aadb7ed793f3775bccc5d77c697ce7730c883f

763

py

Python

dali/activation.py

JonathanRaiman/dali-cython-stub

e258469aeb1d4cb3e4cdf5c07e8948f461a038f1

[ "MIT" ]

7

2016-06-20T17:50:06.000Z

2019-12-13T17:27:46.000Z

dali/activation.py

JonathanRaiman/dali-cython

e258469aeb1d4cb3e4cdf5c07e8948f461a038f1

[ "MIT" ]

6

2015-08-04T07:25:38.000Z

2015-08-13T22:06:22.000Z

dali/activation.py

JonathanRaiman/dali-cython

e258469aeb1d4cb3e4cdf5c07e8948f461a038f1

[ "MIT" ]

2

2016-07-04T21:38:14.000Z

2016-08-31T02:53:19.000Z

""" The point of this file is to make those functions pickle friendly """ from dali.core import MatOps as ops class tanh_object(object): def __call__(self, *args, **kwargs): return ops.tanh(*args, **kwargs) class relu_object(object): def __call__(self, *args, **kwargs): return ops.relu(*args, **kwargs) class sigmoid_object(object): def __call__(self, *args, **kwargs): return ops.sigmoid(*args, **kwargs) class identity_object(object): def __call__(self, *args, **kwargs): assert len(args) == 1 assert len(kwargs) == 0 return args[0] tanh = tanh_object() relu = relu_object() sigmoid = sigmoid_object() identity = identity_object() __all__ = ["tanh", "relu", "sigmoid", "identity"]

24.612903

49

0.648755

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763

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0.12848

0.162741

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0

0.004975

0.209699

763

30

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0

null

0

1

0

null

0

1

0

3

5fe2c9fcbfca9d2c86dd2a8d54c70b0cf333213b

562

py

Python

OOP_exam_23_08_21/project/astronaut/astronaut_repository.py

Veselin-Stoilov/software-university-OOP

452a77cabf2e7d93f30f629c67c6b22682eb255d

[ "MIT" ]

null

OOP_exam_23_08_21/project/astronaut/astronaut_repository.py

Veselin-Stoilov/software-university-OOP

452a77cabf2e7d93f30f629c67c6b22682eb255d

[ "MIT" ]

null

OOP_exam_23_08_21/project/astronaut/astronaut_repository.py

Veselin-Stoilov/software-university-OOP

452a77cabf2e7d93f30f629c67c6b22682eb255d

[ "MIT" ]

null

from OOP_exam_23_08_21.project.astronaut.astronaut import Astronaut # from project.astronaut.astronaut import Astronaut class AstronautRepository: def __init__(self): self.astronauts = [] # objects def add(self, astronaut: Astronaut): self.astronauts.append(astronaut) def remove(self, astronaut: Astronaut): self.astronauts.remove(astronaut) def find_by_name(self, name: str): for astronaut in self.astronauts: if astronaut.name == name: return astronaut return None

23.416667

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0.410811

0

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562

23

68

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0

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0.307692

false

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0

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null

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1

0

null

0

1

0

1

0

3

5fe7b20a84b90f8ee2b9d58310ff415f2dd0a835

3,885

py

Python

facility/test/facility_grader_test.py

mike715/assignment

f69378420ce2bb845abaef0f448eab303aa7a7e7

[ "MIT" ]

101

2016-08-08T05:41:27.000Z

2022-03-09T15:04:42.000Z

facility/test/facility_grader_test.py

sthagen/assignment

57d18b188177269c8fe07f3d9bef416720c7b465

[ "MIT" ]

44

2016-08-07T20:57:56.000Z

2022-02-01T08:07:50.000Z

facility/test/facility_grader_test.py

sthagen/assignment

57d18b188177269c8fe07f3d9bef416720c7b465

[ "MIT" ]

88

2016-10-05T23:38:45.000Z

2022-02-28T09:28:46.000Z

import sys, os, pytest sys.path.append(os.getcwd()) from do_grader_lib import PartQuality from facility import grader with open('facility/data/fl_3_1', 'r') as input_data_file: input_data = input_data_file.read() quality = PartQuality('test', 4052, 2546) greedy_submission = '2550.013 0\n1 1 0 2\n123\n' opt_submission = '2545.771 0\n0 0 1 2\n123\n' # Score Test def test_full_credit(): result = grader.grade(input_data, quality, opt_submission) assert(result['score'] == 1.0) def test_full_credit_opt(): result = grader.grade(input_data, quality, '2545.771 1\n0 0 1 2\n123\n') assert(result['score'] == 1.0) def test_full_credit_opt_big(): result = grader.grade(input_data, quality, '2545.771 99\n0 0 1 2\n123\n') assert(result['score'] == 1.0) def test_full_credit_opt_neg(): result = grader.grade(input_data, quality, '2545.771 -99\n0 0 1 2\n123\n') assert(result['score'] == 1.0) def test_partial_credit(): result = grader.grade(input_data, quality, greedy_submission) assert(result['score'] == 0.7) def test_feasible_credit(): result = grader.grade(input_data, quality, '6859.940 0\n2 2 2 2\n123\n') assert(result['score'] == 0.3) def test_partial_credit_timelimit(): result = grader.grade(input_data, quality, '2545.771 0\n0 0 1 2\n99999\n') assert(result['score'] == 0.7) assert('runtime exceeded' in result['feedback']) def test_objective_value_warning(): result = grader.grade(input_data, quality, '2000 0\n0 0 1 2\n123\n') assert(result['score'] == 1.0) assert('Warning' in result['feedback']) # Not implementable without the leader board # passed += testGrade(grade, metadata, db, 'Opt Flag Warning (7/10): ' , '2545.771 1\n1 1 0 2\n123\n', 7) # Constraint Tests def test_capacity_one_violated(): result = grader.grade(input_data, quality, '4.0 0\n0 0 0 0\n123\n') assert(result['score'] == 0.0) def test_capacity_two_violated(): result = grader.grade(input_data, quality, '4.0 0\n0 1 0 1\n123\n') assert(result['score'] == 0.0) # I/O Tests def test_objective_line_long(): result = grader.grade(input_data, quality, '2545.771 0 0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_objective_line_short(): result = grader.grade(input_data, quality, '0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_solution_line_long(): result = grader.grade(input_data, quality, '2545.771 0\n0 0 1 2 2\n123\n') assert(result['score'] == 0.0) def test_solution_line_short(): result = grader.grade(input_data, quality, '2545.771 0\n0 0 1 2 2\n123\n') assert(result['score'] == 0.0) def test_line_count_long(): result = grader.grade(input_data, quality, '0\n702.788 0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_line_count_short(): result = grader.grade(input_data, quality, '0 0 1 2\n123\n') assert(result['score'] == 0.0) # Type Tests def test_nan_objective(): result = grader.grade(input_data, quality, 'NaN 0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_inf_objective(): result = grader.grade(input_data, quality, 'Inf 0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_alpha_objective(): result = grader.grade(input_data, quality, 'a 0\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_alpha_optflag(): result = grader.grade(input_data, quality, '2545.771 b\n0 0 1 2\n123\n') assert(result['score'] == 0.0) def test_alpha_solution(): result = grader.grade(input_data, quality, '2545.771 0\n0 c 1 2\n123\n') assert(result['score'] == 0.0) def test_alpha_time(): result = grader.grade(input_data, quality, '19 0\n0 0 1 1\n123d\n') assert(result['score'] == 0.0) def test_range_solution(): result = grader.grade(input_data, quality, '2545.771 0\n0 0 1 4\n123d\n') assert(result['score'] == 0.0)

32.107438

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3,885

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null

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1

0

null

0

1

0

3

5ff3eeb8be9ede8dc03d0fb54259c6c059f57e36

473

py

Python

tests/integration/schema/test_empty.py

sthagen/p1c2u-openapi-core

16278893f1be570b7e643a088c81d6c9bd7d76b2

[ "BSD-3-Clause" ]

1

2021-11-05T19:02:04.000Z

tests/integration/schema/test_empty.py

sthagen/openapi-core

16278893f1be570b7e643a088c81d6c9bd7d76b2

[ "BSD-3-Clause" ]

null

tests/integration/schema/test_empty.py

sthagen/openapi-core

16278893f1be570b7e643a088c81d6c9bd7d76b2

[ "BSD-3-Clause" ]

null

import pytest from jsonschema.exceptions import ValidationError from openapi_core.spec import OpenAPIv30Spec as Spec class TestEmpty: @pytest.fixture def spec_dict(self, factory): return factory.spec_from_file("data/v3.0/empty.yaml") @pytest.fixture def spec(self, spec_dict): return Spec.create(spec_dict) def test_raises_on_invalid(self, spec_dict): with pytest.raises(ValidationError): Spec.create(spec_dict)

24.894737

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0.120846

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false

0

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0.692308

0

null

0

null

0

1

0

1

0

3

270e28aef1680ab2186f73546d9a005c6d71482b

594

py

Python

built_in_functions/count_of_a.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

built_in_functions/count_of_a.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

built_in_functions/count_of_a.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

# Declare a count_of_a function that accepts a list of strings. # It should return a list with counts of how many “a” characters appear per string. # Do NOT use list comprehension. # # EXAMPLES: # count_of_a(["alligator", "aardvark", "albatross"]) => [2, 3, 2] # count_of_a(["plywood"]) => [0] # count_of_a([]) => [] def count_of_a(strings): return list(map(lambda string: string.count("a") , strings)) print(count_of_a(["alligator", "aardvark", "albatross"])) print(count_of_a(["plywood"])) print(count_of_a([]))

33

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0.60101

80

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4.2625

0.45

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0.187683

0.11437

0.199413

0

0.008909

0.244108

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84

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false

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null

0

1

0

null

0

1

0

1

0

3

2710bfb4e50c7078830c6b22e20e373c5888b564

157

py

Python

ex046.py

vinisantos7/PythonExercicios

bc8f38e03a606d6b0216632a93affeab0792e534

[ "MIT" ]

2

2021-11-04T21:09:11.000Z

2021-11-08T09:42:10.000Z

ex046.py

vinisantos7/PythonExercicios

bc8f38e03a606d6b0216632a93affeab0792e534

[ "MIT" ]

null

ex046.py

vinisantos7/PythonExercicios

bc8f38e03a606d6b0216632a93affeab0792e534

[ "MIT" ]

null

print("-"*20) print("Festa de Ano Novo") print("-"*20) from time import sleep for c in range(10, -1, -1): print(c) sleep(1) print("Feliz Ano Novo!")

17.444444

27

0.611465

28

157

3.428571

0.607143

0.145833

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0.070313

0.184713

157

9

28

17.444444

0.679688

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0.125

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null

0

1

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null

0

1

0

3

2760db754dea8c385d2debb39f13d790d470af1f

56

py

Python

code/twostones.py

kkirigaya/Kattis

29b7180aef70f51ea5b4d064204f70fc6d29d312

[ "MIT" ]

1

2021-06-05T20:52:43.000Z

code/twostones.py

kkirigaya/Kattis

29b7180aef70f51ea5b4d064204f70fc6d29d312

[ "MIT" ]

null

code/twostones.py

kkirigaya/Kattis

29b7180aef70f51ea5b4d064204f70fc6d29d312

[ "MIT" ]

null

n = int(input()) print("Alice" if n%2 == 1 else "Bob")

14

37

0.553571

11

56

2.818182

0.909091

0

0.044444

0.196429

56

3

38

18.666667

0.644444

0

0.142857

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

27696f206f7eafefa1ab7a6485c096bd7461f6a9

3,525

py

Python

wow/query/query.py

mjsmagalhaes/examples-datascience

bd7e9cb5cc5c42e3896ad134db8765c7d6f27303

[ "MIT" ]

null

wow/query/query.py

mjsmagalhaes/examples-datascience

bd7e9cb5cc5c42e3896ad134db8765c7d6f27303

[ "MIT" ]

null

wow/query/query.py

mjsmagalhaes/examples-datascience

bd7e9cb5cc5c42e3896ad134db8765c7d6f27303

[ "MIT" ]

null

from __future__ import annotations import pandas as pd import datatable as dt import datetime as date from typing import Union, Dict, Set, List, Tuple from functools import reduce from more_itertools import ilen, islice_extended, groupby_transform from .predicate import MapFunction, FilterPredicate class Query: """ A class to create a chain of iterators to help the analysis. """ def __init__(self, data): # print('New Query') self.data = data def __iter__(self): return self.iter() def iter(self): return iter(self.data) def apply(self, fn1, fn2: MapFunction, data) -> Query: """ This function should'nt be called directly. """ return Query(fn1(fn2, data)) def map(self, fn): """ A wrapper around default map function to create a chainable interface. Args: fn: function | tuple / list - function or group of funcions that will be called to map each entry. """ if type(fn) in [list, tuple]: def new_fn(x): return tuple(map(lambda f: f(x), fn)) return self.apply(map, new_fn, self.iter()) else: return self.apply(map, fn, self.iter()) def filter(self, fn: FilterPredicate) -> Query: """ A wrapper around default filter function to create a chainable interface. Args: fn: function - function that will be called to filter entries. Returns: The iterator wrapped in a Query object. """ return self.apply(filter, fn, self.iter()) def groupby(self, keyfn, valuefn=None, reducefn=list) -> Query: """ A wrapper around itertools.groupby function to create a chainable interface. Args: key: A function that will be called to determine by which value entries will be grouped by. Returns: The iterator wrapped in a Query object. """ return Query(groupby_transform(self.sort(keyfn).iter(), keyfn, valuefn, reducefn)) def slice(self, start=0, stop=None, step=1): return Query(islice_extended(self.iter(), start, stop, step)) def sort(self, key=None, reverse=False): return Query(sorted(self.iter(), key=key, reverse=reverse)) # --- Semi-Finalizers --- def qlist(self): return Query(self.list()) def qset(self): return Query(self.set()) def reduce(self, fn): return reduce(fn, self.iter()) # --- Finalizers --- def set(self) -> Set: return set(self.iter()) def list(self) -> List: return list(self.iter()) def tuple(self) -> Tuple: return tuple(self.iter()) def dict(self) -> Dict: return dict(self.iter()) def pandas(self, columns: Union[List[str], None] = None) -> pd.DataFrame: """ Transform the iterator in this object into a Pandas DataFrame Args: columns: columns names or None. Returns: A Pandas DataFrame """ return pd.DataFrame(self.iter(), columns=columns) def datatable(self, columns: Union[List[str], None] = None) -> dt.Frame: """ Transform the iterator in this object into a Datatable Frame. Args: columns: columns names or None. Returns: A Datatable Frame """ return dt.Frame(self.pandas(columns=columns)) def len(self): return ilen(self.iter())

25.919118

101

0.597163

441

3,525

4.730159

0.265306

0.049856

0.036913

0.024449

0.243049

0.23442

0.209492

0.161074

0.090125

0

0.002428

0.299007

3,525

135

102

26.111111

0.841764

0.297305

0

1

0.384615

false

0

0.153846

0.25

0.942308

0

null

0

null

0

1

0

1

0

3

27967813434214733a86b49ae7849642392fed1c

12,960

py

Python

test/test_player.py

furgerf/pyjass

a4270d2a93ec65fc5101e4595c3c0a1361c5ffbe

[ "Apache-2.0" ]

null

test/test_player.py

furgerf/pyjass

a4270d2a93ec65fc5101e4595c3c0a1361c5ffbe

[ "Apache-2.0" ]

6

2020-01-28T22:35:11.000Z

2022-02-10T00:06:37.000Z

test/test_player.py

furgerf/pyjass

a4270d2a93ec65fc5101e4595c3c0a1361c5ffbe

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from config import Config from itertools import permutations from unittest import TestCase from unittest.mock import MagicMock import numpy as np from baseline_players import RandomCardPlayer from card import Card from const import Const from encoding import Encoding from game_type import GameType from parameterized import parameterized from player import Player from utils import flatten class PlayerTest(TestCase): # pylint: disable=invalid-name,protected-access,line-too-long @classmethod def setUpClass(cls): Config.ENCODING = Encoding("better", [1, 2, 3, 4], 5, [10, 15, 20], 50, 0, 0, relative_in_play_encoding=True, trump_code_offset=100) def verify_card_permutations(self, all_cards_by_suit, correct_order, cards_by_suit): all_permutations = PlayerTest.get_permutations_by_suit(all_cards_by_suit) if cards_by_suit \ else PlayerTest.get_permutations_by_value(all_cards_by_suit) for permutation in all_permutations: self.assertTrue(np.array_equal(Player._sort_decision_state(permutation, cards_by_suit), correct_order)) @staticmethod def get_permutations_by_suit(cards_by_suit): return [flatten(permutation) for permutation in permutations(cards_by_suit)] @staticmethod def get_permutations_by_value(cards_by_suit): return [flatten(zip(*permutation)) for permutation in permutations(cards_by_suit)] @staticmethod def get_correct_decision_state(cards, order, cards_by_suit): ordered_cards = [cards[i] for i in order] if cards_by_suit: return flatten(ordered_cards) return flatten(zip(*ordered_cards)) @parameterized.expand([ [True], [False] ]) def test_sort_decision_state(self, cards_by_suit): all_cards = [ [1] * Const.CARDS_PER_SUIT, [2] * Const.CARDS_PER_SUIT, [3] * Const.CARDS_PER_SUIT, [4] * Const.CARDS_PER_SUIT ] correct_state = PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT), cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [ [0] * Const.CARDS_PER_SUIT, [100] * Const.CARDS_PER_SUIT, [10] * Const.CARDS_PER_SUIT, [255] * Const.CARDS_PER_SUIT ] correct_state = PlayerTest.get_correct_decision_state(all_cards, [0, 2, 1, 3], cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [ [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT ] all_cards[0][3] = 1 all_cards[1][2] = 1 all_cards[2][1] = 1 all_cards[3][0] = 1 correct_state = PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT), cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [ [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT ] all_cards[0][0] = 1 all_cards[1][0] = 2 all_cards[2][0] = 3 all_cards[3][0] = 4 correct_state = PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT), cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [ [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT, [0] * Const.CARDS_PER_SUIT ] all_cards[3][-1] = 1 all_cards[1][-1] = 2 all_cards[0][-1] = 3 all_cards[2][-1] = 4 correct_state = PlayerTest.get_correct_decision_state(all_cards, [3, 1, 0, 2], cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [range(i*Const.CARDS_PER_SUIT, (i+1)*Const.CARDS_PER_SUIT) for i in range(Const.SUIT_COUNT)] correct_state = PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT), cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) all_cards = [range(i*Const.CARDS_PER_SUIT, (i+1)*Const.CARDS_PER_SUIT) for i in range(Const.SUIT_COUNT-1, -1, -1)] correct_state = PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT-1, -1, -1), cards_by_suit) self.verify_card_permutations(all_cards, correct_state, cards_by_suit) @parameterized.expand([ [True], [False] ]) def test_sort_decision_state_randomized(self, cards_by_suit): np.random.seed(42) for _ in range(int(1e2)): all_cards = [ list(np.random.randint(0, 255, Const.CARDS_PER_SUIT)), list(np.random.randint(0, 255, Const.CARDS_PER_SUIT)), list(np.random.randint(0, 255, Const.CARDS_PER_SUIT)), list(np.random.randint(0, 255, Const.CARDS_PER_SUIT)) ] first_order = Player._sort_decision_state( PlayerTest.get_correct_decision_state(all_cards, range(Const.SUIT_COUNT), cards_by_suit), cards_by_suit) self.verify_card_permutations(all_cards, first_order, cards_by_suit) @parameterized.expand([ [GameType.OBENABE], [GameType.UNNENUFE] ]) def test_get_valid_cards_to_play_non_trump(self, game_type): testee = RandomCardPlayer("testee", 0, MagicMock()) testee.hand = [ Card(Card.SPADES, 5), # J Card(Card.HEARTS, 0), # 6 Card(Card.HEARTS, 7), # K Card(Card.CLUBS, 3), # 9 ] # no cards played yet self.assertEqual(testee.get_valid_cards_to_play([], game_type), testee.hand) # can't match suit self.assertEqual(testee.get_valid_cards_to_play([Card(Card.DIAMONDS, 1)], game_type), testee.hand) self.assertEqual(testee.get_valid_cards_to_play([ Card(Card.DIAMONDS, 1), Card(Card.SPADES, 1), Card(Card.HEARTS, 1)], game_type), testee.hand) # can match suit self.assertEqual(testee.get_valid_cards_to_play([Card(Card.SPADES, 1)], game_type), [Card(Card.SPADES, 5)]) self.assertEqual(testee.get_valid_cards_to_play([Card(Card.HEARTS, 1)], game_type), [Card(Card.HEARTS, 0), Card(Card.HEARTS, 7)]) self.assertEqual(testee.get_valid_cards_to_play([Card(Card.CLUBS, 1)], game_type), [Card(Card.CLUBS, 3)]) def test_get_valid_cards_to_play_trump(self): testee = RandomCardPlayer("testee", 0, MagicMock()) testee.hand = [ Card(Card.SPADES, 5), # J Card(Card.HEARTS, 5), # J Card(Card.HEARTS, 7), # K Card(Card.CLUBS, 3), # 9 ] # non-trump is played without any trump in play game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.SPADES, 1)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.HEARTS, 5), Card(Card.HEARTS, 7)]) game_type = GameType.TRUMP_CLUBS played_cards = [Card(Card.SPADES, 1), Card(Card.DIAMONDS, 3)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.CLUBS, 3)]) # non-trump is played which can't be matched without any trump in play game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.DIAMONDS, 1), Card(Card.CLUBS, 8)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.HEARTS, 5), Card(Card.HEARTS, 7), Card(Card.CLUBS, 3)]) # non-trump is played with a trump in play game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.SPADES, 1), Card(Card.HEARTS, 8)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.HEARTS, 5)]) # not allowed to play K (undertrump) # non-trump is played with two trumps in play game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.SPADES, 1), Card(Card.HEARTS, 0), Card(Card.HEARTS, 8)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.HEARTS, 5)]) # not allowed to play K (undertrump) # non-trump is played which can't be matched with a trump in play game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.DIAMONDS, 1), Card(Card.HEARTS, 8)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.SPADES, 5), Card(Card.HEARTS, 5), Card(Card.CLUBS, 3)]) # STILL not allowed to play K (undertrump) # trump is played game_type = GameType.TRUMP_HEARTS played_cards = [Card(Card.HEARTS, 1), Card(Card.HEARTS, 2)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.HEARTS, 5), Card(Card.HEARTS, 7)]) game_type = GameType.TRUMP_SPADES played_cards = [Card(Card.SPADES, 1), Card(Card.SPADES, 2)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), testee.hand) testee.hand = [ Card(Card.HEARTS, 5), # J Card(Card.HEARTS, 7), # K ] # untertrumping is allowed if there are only trumps in the hand played_cards = [Card(Card.DIAMONDS, 1), Card(Card.HEARTS, 8)] for card in testee.hand + played_cards: card.set_game_type(game_type) self.assertEqual(testee.get_valid_cards_to_play(played_cards, game_type), [Card(Card.HEARTS, 5), Card(Card.HEARTS, 7)]) def test_convert_to_relative_invalid(self): testee = RandomCardPlayer("testee", 0, MagicMock()) # the player number must be among the valid codes and specifically, among the player codes self.assertRaises(AssertionError, lambda: testee.convert_to_relative(6)) self.assertRaises(AssertionError, lambda: testee.convert_to_relative(106)) self.assertRaises(AssertionError, lambda: testee.convert_to_relative(10)) self.assertRaises(AssertionError, lambda: testee.convert_to_relative(50)) # unknown cards are ok and stay unknown self.assertEqual(testee.convert_to_relative(0), 0) def test_convert_to_relative_non_trump(self): # non-trump in -> non-trump out testee = RandomCardPlayer("testee", 1, MagicMock()) self.assertEqual(testee.convert_to_relative(1), 1) self.assertEqual(testee.convert_to_relative(2), 2) self.assertEqual(testee.convert_to_relative(3), 3) self.assertEqual(testee.convert_to_relative(4), 4) testee = RandomCardPlayer("testee", 2, MagicMock()) self.assertEqual(testee.convert_to_relative(1), 4) self.assertEqual(testee.convert_to_relative(2), 1) self.assertEqual(testee.convert_to_relative(3), 2) self.assertEqual(testee.convert_to_relative(4), 3) testee = RandomCardPlayer("testee", 3, MagicMock()) self.assertEqual(testee.convert_to_relative(1), 3) self.assertEqual(testee.convert_to_relative(2), 4) self.assertEqual(testee.convert_to_relative(3), 1) self.assertEqual(testee.convert_to_relative(4), 2) testee = RandomCardPlayer("testee", 4, MagicMock()) self.assertEqual(testee.convert_to_relative(1), 2) self.assertEqual(testee.convert_to_relative(2), 3) self.assertEqual(testee.convert_to_relative(3), 4) self.assertEqual(testee.convert_to_relative(4), 1) def test_convert_to_relative_trump(self): # trump in -> trump out testee = RandomCardPlayer("testee", 1, MagicMock()) self.assertEqual(testee.convert_to_relative(101), 101) self.assertEqual(testee.convert_to_relative(102), 102) self.assertEqual(testee.convert_to_relative(103), 103) self.assertEqual(testee.convert_to_relative(104), 104) testee = RandomCardPlayer("testee", 2, MagicMock()) self.assertEqual(testee.convert_to_relative(101), 104) self.assertEqual(testee.convert_to_relative(102), 101) self.assertEqual(testee.convert_to_relative(103), 102) self.assertEqual(testee.convert_to_relative(104), 103) testee = RandomCardPlayer("testee", 3, MagicMock()) self.assertEqual(testee.convert_to_relative(101), 103) self.assertEqual(testee.convert_to_relative(102), 104) self.assertEqual(testee.convert_to_relative(103), 101) self.assertEqual(testee.convert_to_relative(104), 102) testee = RandomCardPlayer("testee", 4, MagicMock()) self.assertEqual(testee.convert_to_relative(101), 102) self.assertEqual(testee.convert_to_relative(102), 103) self.assertEqual(testee.convert_to_relative(103), 104) self.assertEqual(testee.convert_to_relative(104), 101)

43.489933

187

0.717361

1,889

12,960

4.650079

0.089465

0.053734

0.114754

0.096881

0.811703

0.767304

0.749317

0.621357

0.576275

0.548156

0

0.030239

0.165586

12,960

297

188

43.636364

0.782042

0.062191

0

0.414226

0

0.005939

0

0.221757

1

0.050209

false

0

0.054393

0.008368

0.125523

0

null

0

1

0

null

0

3

27a105b3877ad7b768063e08e01ceaa3c091d05e

350

py

Python

tests/plugins/matcher/matcher_permission.py

mobyw/nonebot2

36663f1a8a51bd89f4a60110047e73719adcc73d

[ "MIT" ]

1

2022-01-26T12:52:33.000Z

tests/plugins/matcher/matcher_permission.py

mobyw/nonebot2

36663f1a8a51bd89f4a60110047e73719adcc73d

[ "MIT" ]

null

tests/plugins/matcher/matcher_permission.py

mobyw/nonebot2

36663f1a8a51bd89f4a60110047e73719adcc73d

[ "MIT" ]

null

from nonebot.matcher import Matcher from nonebot.permission import Permission default_permission = Permission() test_permission_updater = Matcher.new(permission=default_permission) test_custom_updater = Matcher.new(permission=default_permission) @test_custom_updater.permission_updater async def _() -> Permission: return default_permission

25

68

0.84

40

350

7.05

0.325

0.241135

0.287234

0.191489

0.407801

0

0.097143

350

13

69

26.923077

0.892405

0

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false

0

0.25

0

0.375

0

null

1

0

null

0

3

27b29d1c44aa39618aa218b2a1932a0614265d22

126

py

Python

pyclimb/grading_system.py

ilias-ant/pyclimb

0ef3f8483ca331965d9e03ac271f164c8efa240f

[ "MIT" ]

5

2022-01-24T09:15:14.000Z

2022-01-26T20:33:42.000Z

pyclimb/grading_system.py

ilias-ant/pyclimb

0ef3f8483ca331965d9e03ac271f164c8efa240f

[ "MIT" ]

2

2022-01-30T15:32:32.000Z

2022-01-30T15:36:52.000Z

pyclimb/grading_system.py

ilias-ant/pyclimb

0ef3f8483ca331965d9e03ac271f164c8efa240f

[ "MIT" ]

null

import enum class GradingSystem(enum.Enum): """The supported grading systems.""" FRENCH = "French" YDS = "YDS"

14

40

0.634921

14

126

5.714286

0.714286

0

0.230159

126

8

41

15.75

0.824742

0.238095

0

0.1

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

27bfc5448f37e23d7f68ab7dc0c87a24440ebd18

2,061

py

Python

stin/tests/test_unit.py

SoftwareDevEngResearch/Gas-liquid-flows

10db5551da534341c5f1eb6f781759f68381f0ea

[ "MIT" ]

1

2020-06-28T19:45:12.000Z

stin/tests/test_unit.py

SoftwareDevEngResearch/Gas-liquid-flows

10db5551da534341c5f1eb6f781759f68381f0ea

[ "MIT" ]

null

stin/tests/test_unit.py

SoftwareDevEngResearch/Gas-liquid-flows

10db5551da534341c5f1eb6f781759f68381f0ea

[ "MIT" ]

2

2019-04-18T22:27:20.000Z

2019-04-26T15:37:04.000Z

from ..functions import single_v_L, single_p, derivative_p, α_L, ρ_G, \ BC_v_G, derivative_v_G, derivative_α_G, \ derivative_v_L, cond # tests for single_v_l function: def test_single_v_L_internal(): assert single_v_L(0.8, 150) == 0.8 # tests for single_p function: def test_single_p_internal(): assert single_p(1, 200, 10000000) <= 11000000 def test_single_p_edge(): assert single_p(0.8, 0, 10000000) == 10000000 # tests for derivative_p function: def test_derivative_p_edge_left(): assert derivative_p(0.1, 0.9, 10, 0.5, 0.6) < 0 def test_derivative_p_internal(): assert derivative_p(0.5, 0.5, 10, 0.5, 0.6) < 0 def test_derivative_p_edge_right(): assert derivative_p(0.9, 0.1, 10, 0.5, 0.6) < 0 # tests for ρ_G function: def test_ρ_G_internal(): assert ρ_G(50000000) == 260 def test_ρ_G_edge_left(): assert ρ_G(0) == 0 # tests for derivative_v_G function: def test_derivative_v_G_edge_left(): assert derivative_v_G(0.1, 0.9, 10, -2) > 0 def test_derivative_v_G_internal(): assert derivative_v_G(0.5, 0.5, 10, -2) > 0 def test_derivative_v_G_edge_right(): assert derivative_v_G(0.8, 0.1, 10, -2) > 0 # tests for derivative_α_G function: def test_derivative_α_G_edge_left(): assert derivative_α_G(0.2, 10, -2, 0.8, 1) > 0 def test_derivative_α_G_edge_right(): assert derivative_α_G(0.9, 10, 2, 0.8, -1) > 0 # tests for α_L function: def test_α_L_internal(): assert α_L(0.3) == 0.7 def test_α_L_edge_left(): assert α_L(0) == 1 def test_α_L_edge_right(): assert α_L(1) == 0 # tests for derivative_v_L function: def test_derivative_v_L_edge_left(): assert derivative_v_L(0.8, 0.2, -1) < 0 def test_derivative_v_L_internal(): assert derivative_v_L(0.8, 0.2, 0) == 0 def test_derivative_v_L_edge_right(): assert derivative_v_L(0.8, 0.2, 1) > 0 # tests for BC_v_G function: def test_BC_v_G_internal(): assert BC_v_G(0.8, 0.5, 0.2) >= 0.8 # tests for cond function: def test_cond_internal(): assert cond(0.8) > 0.6

31.227273

71

0.688986

401

2,061

3.189526

0.097257

0.114934

0.146208

0.098514

0.487099

0.254887

0.129789

0.076622

0

0.102625

0.186803

2,061

65

72

31.707692

0.660501

0.144105

0

0.466667

1

0.466667

true

0

0.022222

0

0.488889

0

null

0

null

0

1

0

1

0

3

27dc0ffa26ebd73881d11c7c2ee88f066515deae

424

py

Python

src/core/search_service.py

atul94/similarity-search-service

5e1f915f82f4ec74145cf1ef4d9a3021d46818ea

[ "Apache-2.0" ]

null

src/core/search_service.py

atul94/similarity-search-service

5e1f915f82f4ec74145cf1ef4d9a3021d46818ea

[ "Apache-2.0" ]

null

src/core/search_service.py

atul94/similarity-search-service

5e1f915f82f4ec74145cf1ef4d9a3021d46818ea

[ "Apache-2.0" ]

null

"""Define the abstract class for similarity search service controllers""" class SearchService: """Search Service handles all controllers in the search service""" def __init__(self): pass def load_index(self): pass def load_labels(self): pass def similar_search_vectors(self): pass def refresh_index(self): pass def health_check(self): pass

17.666667

73

0.639151

50

424

5.22

0.5

0.183908

0.210728

0.114943

0

0.287736

424

23

74

18.434783

0.864238

0.301887

0

0.461538

0

1

0.461538

false

0.461538

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

3

7e09fae4252b49e8420935c9e2d156fb2c2457ae

947

py

Python

src/exco/extractor/locator/locator_factory.py

thegangtechnology/excel_comment_orm

b38156b406ccb3ce87737b8ed049bbf3b8a39050

[ "MIT" ]

2

2020-11-10T04:53:07.000Z

2020-11-12T03:53:46.000Z

src/exco/extractor/locator/locator_factory.py

thegangtechnology/excel_comment_orm

b38156b406ccb3ce87737b8ed049bbf3b8a39050

[ "MIT" ]

50

2020-11-09T06:30:31.000Z

2022-01-06T05:00:50.000Z

src/exco/extractor/locator/locator_factory.py

thegangtechnology/excel_comment_orm

b38156b406ccb3ce87737b8ed049bbf3b8a39050

[ "MIT" ]

null

from typing import Dict, Type from exco import LocatorSpec from exco.extractor.base_factory import BaseFactory from exco.extractor.locator.built_in.at_comment_cell_locator import AtCommentCellLocator from exco.extractor.locator.built_in.right_of_locator import RightOfLocator from exco.extractor.locator.built_in.right_of_regex_locator import RightOfRegexLocator from exco.extractor.locator.built_in.below_of_locator import BelowOfLocator from exco.extractor.locator.locator import Locator class LocatorFactory(BaseFactory[Locator, LocatorSpec]): def __init__(self, class_map: Dict[str, Type[Locator]]): super().__init__(class_map) @classmethod def suffix(cls): return 'Locator' @classmethod def default(cls) -> 'LocatorFactory': return cls(cls.build_class_dict([ AtCommentCellLocator, RightOfLocator, RightOfRegexLocator, BelowOfLocator ]))

33.821429

88

0.756072

108

947

6.37963

0.361111

0.081277

0.148041

0.174165

0.20029

0.110305

0

0.173178

947

27

89

35.074074

0.879949

0

0.090909

0

0.022175

0

1

0.136364

false

0

0.363636

0.090909

0.636364

0

null

0

1

0

null

0

1

0

1

0

3

7e0f2adcfa456e7d98de1b99c1956f1512cdb215

106

py

Python

frontend/api/test.py

Besutodesuka/facelink

51895cdd3349c27eff71dffdb397d63a48c5b9c5

[ "MIT" ]

null

frontend/api/test.py

Besutodesuka/facelink

51895cdd3349c27eff71dffdb397d63a48c5b9c5

[ "MIT" ]

null

frontend/api/test.py

Besutodesuka/facelink

51895cdd3349c27eff71dffdb397d63a48c5b9c5

[ "MIT" ]

1

2021-07-18T03:21:57.000Z

txt = 'asdf;lkajsdf,as;lfkja' for i in txt: txt = txt[1:] if i == ",": break print(txt)

11.777778

29

0.5

17

106

3.117647

0.705882

0.226415

0

0.013889

0.320755

106

9

30

11.777778

0.722222

0

0.205607

0.196262

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

3

fd659bd5c74f2b83e12b09dad413e1f3754ae82f

324

py

Python

fslks/datasets/summarization/__init__.py

amoldwin/fslks-misinformation

065ffd8c10a7d1cb7038f46875dbe8414a15752f

[ "MIT" ]

null

fslks/datasets/summarization/__init__.py

amoldwin/fslks-misinformation

065ffd8c10a7d1cb7038f46875dbe8414a15752f

[ "MIT" ]

null

fslks/datasets/summarization/__init__.py

amoldwin/fslks-misinformation

065ffd8c10a7d1cb7038f46875dbe8414a15752f

[ "MIT" ]

null

from .bioasq import Bioasq from .duc import Duc from .medlineplus_references import MedlineplusReferences from .medlineplus_reviews import MedlineplusReviews from .medinfo import Medinfo from .ebm import EBM from .pubmed import PubmedSumm from .chiqa import Chiqa from .cochrane_summ import CochraneSumm from .tac import Tac

32.4

57

0.848765

43

324

6.325581

0.418605

0.110294

0

0.12037

324

10

58

32.4

0.954386

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

fdba2414d1deddc2503216621dc63c9cbb84823c

304

py

Python

katas/kyu_7/interactive_dictionary.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/interactive_dictionary.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/interactive_dictionary.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

class Dictionary(object): def __init__(self): self.my_dict = {} def look(self, key): return self.my_dict.get(key, "Can't find entry for {}".format(key)) def newentry(self, key, value): """ new_entry == PEP8 (forced by Codewars) """ self.my_dict[key] = value

27.636364

75

0.592105

42

304

4.095238

0.595238

0.104651

0.174419

0

0.004425

0.256579

304

10

76

30.4

0.756637

0.125

0

0.089147

0

1

0.428571

false

0

0.142857

0.714286

0

null

0

null

0

1

0

1

0

3

fdd4ba1e3f788ef6b36041898d0225577346650f

395

py

Python

censor_swear/censor_app/dialog/urls.py

vuluc88/censor_swear

057a35f3169f6673c502bda2559cb54be66fc46d

[ "BSD-3-Clause" ]

null

censor_swear/censor_app/dialog/urls.py

vuluc88/censor_swear

057a35f3169f6673c502bda2559cb54be66fc46d

[ "BSD-3-Clause" ]

null

censor_swear/censor_app/dialog/urls.py

vuluc88/censor_swear

057a35f3169f6673c502bda2559cb54be66fc46d

[ "BSD-3-Clause" ]

null

from django.urls import path from .project_views import * from .project_import_views import * urlpatterns = [ path('<int:project_id>/upload-raw-masking-data', UploadRawMaskingDataView.as_view()), path('<int:project_id>/masking/system_verify_count', get_masking_csv_system_verify_count), path('<int:project_id>/masking/manual_verify_count', get_masking_csv_manually_verify_count), ]

39.5

96

0.794937

54

395

5.425926

0.444444

0.150171

0.143345

0.163823

0.320819

0

0.088608

395

9

97

43.888889

0.813889

0

0.324051

0

1

0

false

0

0.375

0

0.375

0

null

0

1

0

1

0

null

0

1

0

3

fde6771e1925ab6cfba7aac283ef3a3dd554a088

803

py

Python

leetcode/0867_transpose_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

leetcode/0867_transpose_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

leetcode/0867_transpose_matrix.py

chaosWsF/Python-Practice

ff617675b6bcd125933024bb4c246b63a272314d

[ "BSD-2-Clause" ]

null

""" Given a matrix A, return the transpose of A. The transpose of a matrix is the matrix flipped over it's main diagonal, switching the row and column indices of the matrix. https://assets.leetcode.com/uploads/2019/10/20/hint_transpose.png Example 1: Input: [[1,2,3],[4,5,6],[7,8,9]] Output: [[1,4,7],[2,5,8],[3,6,9]] Example 2: Input: [[1,2,3],[4,5,6]] Output: [[1,4],[2,5],[3,6]] Note: 1. 1 <= A.length <= 1000 2. 1 <= A[0].length <= 1000 """ import numpy as np class Solution: def transpose1(self, A): C = len(A[0]) A = sum(A, []) return [A[i::C] for i in range(C)] def transpose2(self, A): return np.array(A).T.tolist() def transpose3(self, A): return [[row[i] for row in A] for i in range(len(A[0]))]

22.305556

103

0.569116

147

803

3.102041

0.44898

0.061404

0.065789

0.048246

0

0.095552

0.244085

803

35

104

22.942857

0.655684

0.587796

0

1

0.3

false

0

0.1

0.2

0.8

0

null

0

null

0

1

0

1

0

3

8bf61763ae2916b8f468302c1c2a66d6b273fc38

136

py

Python

inventario/apps.py

mariobp/geoactivos

02234dee8ae9d95f3b9187104b75e2bb68957f71

[ "MIT" ]

null

inventario/apps.py

mariobp/geoactivos

02234dee8ae9d95f3b9187104b75e2bb68957f71

[ "MIT" ]

null

inventario/apps.py

mariobp/geoactivos

02234dee8ae9d95f3b9187104b75e2bb68957f71

[ "MIT" ]

null

from __future__ import unicode_literals from django.apps import AppConfig class InventarioConfig(AppConfig): name = 'inventario'

17

39

0.801471

15

136

6.933333

0.8

0

0.147059

136

7

40

19.428571

0.896552

0

0.073529

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

3

8bf866c3dcb9fb79a1545227f846ae16e36c3836

354

py

Python

baekjoon/9012/valid_parenthesis_string.py

ucyang/AlgoEx

465c88f04b9449c06ee5c9a684ded5aba8ccf399

[ "MIT" ]

null

baekjoon/9012/valid_parenthesis_string.py

ucyang/AlgoEx

465c88f04b9449c06ee5c9a684ded5aba8ccf399

[ "MIT" ]

null

baekjoon/9012/valid_parenthesis_string.py

ucyang/AlgoEx

465c88f04b9449c06ee5c9a684ded5aba8ccf399

[ "MIT" ]

null

import sys input = lambda: sys.stdin.readline().rstrip() for _ in range(int(input())): left_paren_count = 0 for c in input(): if c == "(": left_paren_count += 1 elif c == ")": left_paren_count -= 1 if left_paren_count < 0: break print("NO" if left_paren_count else "YES")

23.6

46

0.528249

47

354

3.744681

0.510638

0.255682

0.397727

0.170455

0.181818

0

0.017316

0.347458

354

14

47

25.285714

0.744589

0

0.019774

0

1

0

false

0

0.083333

0

0.083333

0

null

1

0

null

0

3

e302285e4a28c0820b57ed3dffce9df164d326d5

291

py

Python

model/lstm_network.py

Kirichenkov9/Network_ML

f3b1b1c85394563574fd2cef77ed6fe6887bc790

[ "MIT" ]

30

2017-12-28T08:38:15.000Z

2022-03-04T07:56:41.000Z

model/lstm_network.py

keaideii/ML-IDS

acd4c66c1eac3e1b42fe8f064869779d0d4de2cc

[ "MIT" ]

null

model/lstm_network.py

keaideii/ML-IDS

acd4c66c1eac3e1b42fe8f064869779d0d4de2cc

[ "MIT" ]

18

2017-09-03T10:15:29.000Z

2022-02-25T16:03:14.000Z

import tensorflow as tf from base_model import BaseModel class LSTMNN(object): """ LSTM neural network class, inherits from BaseModel """ def train(self): """ Fit the LSTM neural network to the data """ raise NotImplementedError()

18.1875

58

0.608247

32

291

5.5

0.75

0.113636

0.193182

0

0.319588

291

15

59

19.4

0.888889

0.309278

0

1

0.2

false

0

0.4

0

0.8

0

null

0

1

0

null

0

1

0

1

0

3

e30754ef129e99cc1da4eedd5d5f7ccc6895d9a9

1,685

py

Python

helpers/logger.py

ivanshamilov/bsc_thesis

e2646c8ea640264983d8af69403e2c95eee8aa7c

[ "MIT" ]

null

helpers/logger.py

ivanshamilov/bsc_thesis

e2646c8ea640264983d8af69403e2c95eee8aa7c

[ "MIT" ]

null

helpers/logger.py

ivanshamilov/bsc_thesis

e2646c8ea640264983d8af69403e2c95eee8aa7c

[ "MIT" ]

null

from datetime import datetime class bcolors: OKBLUE = '\033[94m' OKCYAN = '\033[96m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' class Logger(object): @staticmethod def write_logs(to_write): with open("nn_diploma.logs", "a") as f: f.write(f"{to_write}\n") @staticmethod def info(toprint, log=True, console=True): time = datetime.now().strftime("%m/%d/%Y %H:%M:%S") if console: print(f"{bcolors.OKCYAN}[{time}] [INFO] {toprint}{bcolors.ENDC}") if log: Logger.write_logs(f"{bcolors.OKCYAN}[{time}] [INFO] {toprint}{bcolors.ENDC}") @staticmethod def ok(toprint, log=True, console=True): time = datetime.now().strftime("%m/%d/%Y %H:%M:%S") if console: print(f"{bcolors.OKGREEN}[{time}] [OK] {toprint}{bcolors.ENDC}") if log: Logger.write_logs(f"{bcolors.OKGREEN}[{time}] [OK] {toprint}{bcolors.ENDC}") @staticmethod def warning(toprint, log=True, console=True): time = datetime.now().strftime("%m/%d/%Y %H:%M:%S") if console: print(f"{bcolors.WARNING}[{time}] [WARN] {toprint}{bcolors.ENDC}") if log: Logger.write_logs(f"{bcolors.WARNING}[{time}] [WARN] {toprint}{bcolors.ENDC}") @staticmethod def fail(toprint, log=True, console=True): time = datetime.now().strftime("%m/%d/%Y %H:%M:%S") if console: print(f"{bcolors.FAIL}[{time}] [FAIL] {toprint}{bcolors.ENDC}") if log: Logger.write_logs(f"{bcolors.FAIL}[{time}] [FAIL] {toprint}{bcolors.ENDC}")

32.403846

90

0.567953

218

1,685

4.353211

0.238532

0.067439

0.151739

0.088514

0.751317

0.703899

0.514226

0

0.025761

0.239763

1,685

51

91

33.039216

0.715066

0

0.404762

0

0.347774

0.223145

0

1

0.119048

false

0

0.02381

0

0.357143

0.285714

0

null

0

1

0

null

0

3

e30a3a95d35fc909de3e39f9291b411a51df178c

62

py

Python

files/sum_of_10.py

AjayRajNelapudi/Script-Evaluation-Assistant

200a3fc11e15f22b812c829d133707393be39c23

[ "MIT" ]

1

2018-09-22T10:10:42.000Z

files/sum_of_10.py

AjayRajNelapudi/Script-Evaluation-Assistant

200a3fc11e15f22b812c829d133707393be39c23

[ "MIT" ]

1

2018-09-16T14:44:47.000Z

files/sum_of_10.py

AjayRajNelapudi/Script-Evaluation-Assistant

200a3fc11e15f22b812c829d133707393be39c23

[ "MIT" ]

3

2018-09-16T14:37:55.000Z

2018-09-30T06:44:49.000Z

numbers = list(map(int, input().split())) print(sum(numbers))

20.666667

41

0.677419

9

62

4.666667

0.888889

0

0.080645

62

2

42

31

0.736842

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

e30f53801be36af85c6a87c3788203b4fcdb5382

34

py

Python

data.py

pysg/pyther

6a47fc41533cc50bc64134e42ddd3ed8d54d75c7

[ "MIT" ]

9

2017-07-10T19:21:35.000Z

2022-01-24T16:41:34.000Z

data.py

NERD-cpu/pyther

6a47fc41533cc50bc64134e42ddd3ed8d54d75c7

[ "MIT" ]

1

2017-05-28T01:45:00.000Z

2018-01-08T14:54:31.000Z

data.py

NERD-cpu/pyther

6a47fc41533cc50bc64134e42ddd3ed8d54d75c7

[ "MIT" ]

3

2017-08-18T18:47:21.000Z

2021-03-01T02:25:24.000Z

name = input("What's your name? ")

34

0.647059

6

34

3.666667

0.833333

0

0.147059

34

1

34

0.758621

0

0.514286

0

1

0

false

0

1

0

null

0

1

0

null

0

3

e3326ad8d4355735bdab5e8755d4a05edef9141b

65

py

Python

plugins/s3/kpireport_s3/__init__.py

diurnalist/kpireporter

b3ce9ca52567405557ea12f45c1a7fda076d746a

[ "BlueOak-1.0.0", "Apache-2.0" ]

9

2021-05-17T05:32:46.000Z

2022-03-16T22:49:26.000Z

plugins/s3/kpireport_s3/__init__.py

diurnalist/kpireporter

b3ce9ca52567405557ea12f45c1a7fda076d746a

[ "BlueOak-1.0.0", "Apache-2.0" ]

4

2020-10-10T23:38:20.000Z

2020-11-08T22:41:24.000Z

plugins/s3/kpireport_s3/__init__.py

diurnalist/kpireporter

b3ce9ca52567405557ea12f45c1a7fda076d746a

[ "BlueOak-1.0.0", "Apache-2.0" ]

1

2021-01-12T02:49:04.000Z

from .output import S3OutputDriver __all__ = ["S3OutputDriver"]

16.25

34

0.784615

6

65

7.833333

0.833333

0

0.035088

0.123077

65

3

35

21.666667

0.789474

0

0.215385

0

1

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false

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null

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1

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null

0

1

0

3

e33decdf79ad48289a3f736f72be7a7f60672fc4

202

py

Python

Chapter04/receipts_make.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

13

2018-06-21T01:44:49.000Z

2021-12-01T10:49:53.000Z

Chapter04/receipts_make.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

null

Chapter04/receipts_make.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

6

2018-10-05T08:29:24.000Z

2022-01-11T14:49:50.000Z

In [18]: my_list = [27, "11-13-2017", 84.98, 5] In [19]: store27 = salesReceipt._make(my_list) In [20]: print(store27) salesReceipt(storeID=27, saleDate='11-13-2017', saleAmount=84.98, totalGuests=5)

28.857143

80

0.693069

34

202

4.029412

0.617647

0.087591

0.116788

0

0.222222

0.108911

202

6

81

33.666667

0.538889

0

0.09901

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1

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true

0

0.25

0

null

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1

0

1

0

null

0

1

0

3

8b51acd1f58c8c904d102f8b2859eb1508c6dbb2

1,624

py

Python

part6/func_mapping.py

tls1403/PythonTest

069f23b25ec655aa199d13aef9c14d2e33366861

[ "MIT" ]

null

part6/func_mapping.py

tls1403/PythonTest

069f23b25ec655aa199d13aef9c14d2e33366861

[ "MIT" ]

null

part6/func_mapping.py

tls1403/PythonTest

069f23b25ec655aa199d13aef9c14d2e33366861

[ "MIT" ]

null

import seaborn as sns titanic = sns.load_dataset('titanic') df = titanic.loc[:,['age','fare']] df['ten'] = 10 def add_10(n): return n+10 def add_two_obj(a,b): return a+b #시리즈 변수에 적용 # print(df['age'].head()) # print('\n') sr1 = df['age'].apply(add_10) #모든행에 add_10 함수 적용 # print(sr1.head()) # print('\n') sr2 = df['age'].apply(add_two_obj,b = 10) #모든행에 add_two_obj('age',10) # print(sr2.head()) # print('\n') #lambda 함수 활용: 시리즈 객체에 적용 sr3 = df['age'].apply(lambda x: add_10(x)) # x = df['age'] # print(sr3.head()) #데이터프레임에 적용 #데이터프레임에 add_10() 함수를 매핑 적용 df_map = df.applymap(add_10) # print(df_map.head()) #시리즈객체에 함수 매핑 #데이터 프레임의 각 열에 함수 매핑 def missing_value(series): #시리즈를 인자로 전달 return series.isnull() result = df.apply(missing_value,axis =0) #각 열 age, fare 을 매핑함수에 전달하고 각 열의 리턴값은 시리즈 형태로 반환된다. 시리즈가 합쳐져서 데이터프레임이된다. # print(result.head()) def min_max(x): #최대값 - 최소값 return x.max() - x.min() result1 =df.apply(min_max) #기본값 axis = 0 # print(result1) def add_two_obj(a,b): return a + b # x = df , a = df['age'] , b = df['ten'] df['add'] = df.apply(lambda x : add_two_obj(x['age'],x['ten']),axis = 1) # print(df.head()) #각 열의 NaN 찾기 = 데이터프레임 반환 def missing_value(x): return x.isnull() #각 열의 NaN 개수 반환 = 시리즈 반환 def missing_count(x): return missing_value(x).sum() # 데이터프레임의 총 NaN 개수 - 데이터프레임을 전달하면 값 반환 def total_number_missing(x): return missing_count(x).sum() df.drop(['ten','add'],inplace= True,axis = 1) result_df = df.pipe(missing_value) result_series = df.pipe(missing_count) # print(result_series) result_value = df.pipe(total_number_missing) print(result_value)

21.090909

113

0.653941

298

1,624

3.436242

0.308725

0.029297

0.043945

0.023438

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0

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1,624

77

114

21.090909

0.733728

0.364532

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0.125

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0.25

false

0

0.03125

0.25

0.53125

0.03125

0

null

0

null

0

1

0

1

0

3

8ba95763c3841808434e7398e5ed16b10e00bfd6

114

py

Python

qmhub/embedtools/embed_none_none.py

QCMM/dynqmprop

0f668072f623a2f5f209ab715bc264a83926309b

[ "MIT" ]

null

qmhub/embedtools/embed_none_none.py

QCMM/dynqmprop

0f668072f623a2f5f209ab715bc264a83926309b

[ "MIT" ]

null

qmhub/embedtools/embed_none_none.py

QCMM/dynqmprop

0f668072f623a2f5f209ab715bc264a83926309b

[ "MIT" ]

null

from .embed_base import EmbedBase class EmbedNoneNone(EmbedBase): EMBEDNEAR = 'None' EMBEDFAR = 'None'

14.25

33

0.710526

12

114

6.666667

0.833333

0

0.201754

114

7

34

16.285714

0.879121

0

0.070175

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

8baeb567af30f12a10d229eef9f41bd0a63b5684

143

py

Python

robustredirects/apps.py

spothero/django-robust-redirects

14e13c2765315d0eb214791ba03a5588a0dd9953

[ "Apache-2.0" ]

2

2015-09-02T11:01:19.000Z

2020-07-02T19:01:27.000Z

robustredirects/apps.py

spothero/django-robust-redirects

14e13c2765315d0eb214791ba03a5588a0dd9953

[ "Apache-2.0" ]

1

2017-06-14T21:47:36.000Z

robustredirects/apps.py

spothero/django-robust-redirects

14e13c2765315d0eb214791ba03a5588a0dd9953

[ "Apache-2.0" ]

3

2015-05-30T12:12:23.000Z

2020-07-02T19:47:21.000Z

from django.apps import AppConfig class RobustRedirectsConfig(AppConfig): name = 'robustredirects' verbose_name = "Robust Redirects"

20.428571

39

0.769231

14

143

7.785714

0.857143

0

0.160839

143

6

40

23.833333

0.908333

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0.216783

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

8bb283ad9e28e42fafbaa4c2c8e7340230403f25

205

py

Python

nekomata/__init__.py

amane-katagiri/nekomata

54dfdc238160c36a7ad335391bb7bd0f98b8a355

[ "MIT" ]

null

nekomata/__init__.py

amane-katagiri/nekomata

54dfdc238160c36a7ad335391bb7bd0f98b8a355

[ "MIT" ]

null

nekomata/__init__.py

amane-katagiri/nekomata

54dfdc238160c36a7ad335391bb7bd0f98b8a355

[ "MIT" ]

null

__author__ = "Amane Katagiri" __contact__ = "amane@ama.ne.jp" __copyright__ = "Copyright (C) 2016 Amane Katagiri" __credits__ = "" __date__ = "2016-12-07" __license__ = "MIT License" __version__ = "0.1.0"

25.625

51

0.721951

26

205

4.615385

0.730769

0.216667

0

0.08427

0.131707

205

7

52

29.285714

0.589888

0

0.429268

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

8bb4edcc2a41159d312e4d314c4f089d62d7ba6e

179

py

Python

language/python/formmating/example2.py

choisungwook/portfolio

a15485673969dcb2e1290c37afae3acf91f1487b

[ "MIT" ]

4

2021-09-28T16:32:46.000Z

2022-01-04T03:57:28.000Z

language/python/formmating/example2.py

choisungwook/portfolio

a15485673969dcb2e1290c37afae3acf91f1487b

[ "MIT" ]

15

2021-05-13T14:18:32.000Z

2021-12-22T12:36:35.000Z

language/python/formmating/example2.py

choisungwook/portfolio

a15485673969dcb2e1290c37afae3acf91f1487b

[ "MIT" ]

8

2021-03-03T06:46:17.000Z

2022-01-03T02:13:48.000Z

example_dict = {} for idx in range(0, 10): example_dict[idx] = idx for key, value in example_dict.items(): formmating = f'key is {key}, value is {value}' print(formmating)

22.375

48

0.681564

29

179

4.103448

0.517241

0.277311

0

0.020408

0.178771

179

8

49

22.375

0.789116

0

0.166667

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

3

8bb69d447bb75fe809ea1db3725c283459c4f37d

140

py

Python

src/solutions/188.py

bshankar/euler

c866a661a94d15d3744c74d85149534efac2ca23

[ "MIT" ]

null

src/solutions/188.py

bshankar/euler

c866a661a94d15d3744c74d85149534efac2ca23

[ "MIT" ]

null

src/solutions/188.py

bshankar/euler

c866a661a94d15d3744c74d85149534efac2ca23

[ "MIT" ]

null

def hyperpower(n, k): n_ = n for i in range(k-1): n_ = n**n_ % 100 return n_ print hyperpower(1777, 1855)

15.555556

28

0.5

22

140

3

0.636364

0.090909

0

0.139535

0.385714

140

8

29

17.5

0.627907

0

null

0

null

0.166667

1

0

null

0

1

0

null

0

1

0

3

8bcf159620975105a047ea4540ad08a7d4d44486

21

py

Python

inventoryanalytics/utils/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

7

2018-06-17T02:45:33.000Z

2021-06-11T09:13:06.000Z

inventoryanalytics/utils/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

1

2021-02-07T03:33:22.000Z

2021-06-02T21:11:59.000Z

inventoryanalytics/utils/__init__.py

vishalbelsare/inventoryanalytics

85feff8f1abaf2c29414e066eed096ac3a74973b

[ "MIT" ]

7

2018-07-14T19:45:43.000Z

2021-10-12T09:45:04.000Z

__all__ = ["memoize"]

21

0.666667

2

21

5

1

0

0.095238

21

1

21

0.526316

0

0.318182

0

1

0

false

0

1

0

null

0

1

0

null

0

3

8bd7621e0c1c65552ca2f0a5ca84632707ff77eb

103

py

Python

tests/if_leap_year.py

dstang2000/py2flowchart

0c489bfabc3d3d17a160095b7c3b0589c7c0db4d

[ "MIT" ]

1

2020-08-28T01:13:58.000Z

tests/if_leap_year.py

dstang2000/py2flowchart

0c489bfabc3d3d17a160095b7c3b0589c7c0db4d

[ "MIT" ]

null

tests/if_leap_year.py

dstang2000/py2flowchart

0c489bfabc3d3d17a160095b7c3b0589c7c0db4d

[ "MIT" ]

null

year = 2022 if year%4==0 and year%100!=0 or year%400==0: print(year,"是闰年") else: print(year,"不是闰年")

17.166667

45

0.640777

21

103

3.142857

0.619048

0.272727

0

0.159091

0.145631

103

5

46

20.6

0.590909

0

0.067961

0

1

0

false

0

0.4

1

0

null

1

0

1

0

null

0

3

8bea5af13c70952cc9014e8507771c85ec15f2da

1,681

py

Python

xueqiu/__init__.py

1dot75cm/xueqiu

36aec473a9156fdceb87608f2a2b61cbebd342ea

[ "MIT" ]

25

2019-02-12T06:01:28.000Z

2021-12-29T03:22:26.000Z

xueqiu/__init__.py

1dot75cm/xueqiu

36aec473a9156fdceb87608f2a2b61cbebd342ea

[ "MIT" ]

2

2019-04-07T06:23:57.000Z

2019-04-17T05:27:11.000Z

xueqiu/__init__.py

1dot75cm/xueqiu

36aec473a9156fdceb87608f2a2b61cbebd342ea

[ "MIT" ]

16

2019-02-26T15:54:02.000Z

2022-03-09T00:27:38.000Z

# -*- coding: utf-8 -*- """ xueqiu.api ~~~~~~~~~~ This module implements a humanize XueQiu API wrappers. :copyright: (c) 2019 by 1dot75cm. :license: MIT, see LICENSE for more details. """ # xueqiu api from .model import news from .model import search from .model import Selector from .model import Stock from .model import Fund from .model import Post from .model import Comment from .model import User # funds api from .fund import get_all_funds from .fund import get_all_funds_ranking # economic api from .economic import get_economic from .economic import get_economic_of_china # others from .stock import get_data_invest from .stock import get_data_csindex from .stock import get_data_sseindex from .stock import get_data_netease from .stock import get_data_spindices from .stock import get_data_yahoo from .stock import get_quote_yahoo from .stock import get_stock_margin from .stock import get_hsgt_history from .stock import get_hsgt_top10 from .stock import get_hsgt_holding # baidu search index from .baidu import BaiduIndex from .baidu import SogouIndex from .baidu import ToutiaoIndex # maoyan movie api from .movie import get_movie_id from .movie import get_movie_boxinfo_byid from .movie import get_movie_boxinfo_live __pkgname__ = "xueqiu" __version__ = "0.1.5" __license__ = "MIT" __url__ = "https://github.com/1dot75cm/xueqiu" __descript__ = "A humanize XueQiu API wrappers." __author__ = "1dot75cm" __email__ = "sensor.wen@gmail.com" def about(): me = f"""{__pkgname__} {__version__} - {__descript__} :copyright: (c) 2019 by {__author__}. :license: {__license__}, see LICENSE for more details.""" print(me) if __name__ == '__main__': about()

24.720588

57

0.773944

245

1,681

4.922449

0.359184

0.134328

0.136816

0.164179

0.443615

0.091211

0

0.015928

0.140988

1,681

68

58

24.720588

0.819252

0.152885

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1

0.023256

false

0

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0

0.697674

0.023256

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null

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null

0

1

0

1

0

3

47491da947cd5d9dae1f697a3b4f488f3c32c78e

4,713

py

Python

tests/test_05_schedule.py

RKrahl/archive-tools

a126896ab00bfa9fe206a547e65e23953881a56b

[ "Apache-2.0" ]

1

2021-12-21T04:13:15.000Z

tests/test_05_schedule.py

RKrahl/archive-tools

a126896ab00bfa9fe206a547e65e23953881a56b

[ "Apache-2.0" ]

45

2019-02-23T22:45:07.000Z

2021-12-05T22:00:50.000Z

tests/test_05_schedule.py

RKrahl/archive-tools

a126896ab00bfa9fe206a547e65e23953881a56b

[ "Apache-2.0" ]

1

2020-02-01T00:59:25.000Z

"""Test class archive.bt.schedule.ScheduleDate. """ import datetime import pytest from archive.bt.schedule import ScheduleDate test_schedules = [ { 'schedule' : "Sat,Thu,Mon..Wed,Sat..Sun *", 'dates': [ ( datetime.datetime(2021, 7, 1, 5, 13, 21), True ), ( datetime.datetime(2021, 7, 2, 6, 24, 36), False ), ( datetime.datetime(2021, 7, 3, 3, 57, 42), True ), ( datetime.datetime(2021, 7, 4, 8, 8, 48), True ), ( datetime.datetime(2021, 7, 5, 19, 50, 14), True ), ( datetime.datetime(2021, 7, 6, 22, 48, 56), True ), ( datetime.datetime(2021, 7, 7, 1, 11, 49), True ), ], }, { 'schedule' : "Mon,Sun 2012-*-* 2,1:23", 'dates': [ ( datetime.datetime(2012, 10, 20, 1, 23, 48), False ), ( datetime.datetime(2012, 10, 21, 1, 23, 7), True ), ( datetime.datetime(2012, 10, 21, 2, 24, 30), False ), ( datetime.datetime(2012, 10, 21, 3, 23, 26), False ), ( datetime.datetime(2012, 10, 22, 1, 23, 39), True ), ], }, { 'schedule' : "Wed *-1", 'dates': [ ( datetime.datetime(2002, 4, 1, 13, 52, 43), False ), ( datetime.datetime(2002, 5, 1, 17, 11, 44), True ), ( datetime.datetime(2002, 6, 1, 2, 11, 24), False ), ( datetime.datetime(2003, 9, 1, 6, 5, 23), False ), ( datetime.datetime(2003, 9, 3, 2, 37, 36), False ), ( datetime.datetime(2003, 10, 1, 15, 30, 6), True ), ( datetime.datetime(2003, 11, 1, 20, 29, 54), False ), ], }, { 'schedule' : "Wed..Wed,Wed *-1", 'dates': [ ( datetime.datetime(2002, 4, 1, 13, 52, 43), False ), ( datetime.datetime(2002, 5, 1, 17, 11, 44), True ), ( datetime.datetime(2002, 6, 1, 2, 11, 24), False ), ( datetime.datetime(2003, 9, 1, 6, 5, 23), False ), ( datetime.datetime(2003, 9, 3, 2, 37, 36), False ), ( datetime.datetime(2003, 10, 1, 15, 30, 6), True ), ( datetime.datetime(2003, 11, 1, 20, 29, 54), False ), ], }, { 'schedule' : "10-15", 'dates': [ ( datetime.datetime(2017, 9, 15, 3, 8, 17), False ), ( datetime.datetime(2017, 10, 14, 23, 48, 51), False ), ( datetime.datetime(2017, 10, 15, 4, 12, 36), True ), ( datetime.datetime(2018, 10, 15, 11, 14, 43), True ), ], }, { 'schedule' : "Fri 1..7 4,10,16,22:30", 'dates': [ ( datetime.datetime(2021, 7, 1, 4, 30, 45), False ), ( datetime.datetime(2021, 7, 2, 4, 30, 45), True ), ( datetime.datetime(2021, 7, 2, 5, 30, 45), False ), ( datetime.datetime(2021, 7, 2, 16, 30, 45), True ), ( datetime.datetime(2021, 7, 9, 16, 30, 45), False ), ], }, { 'schedule' : "Mon *-*-2..8", 'dates': [ ( datetime.datetime(2021, 3, 1, 3, 0), False ), ( datetime.datetime(2021, 3, 5, 3, 0), False ), ( datetime.datetime(2021, 3, 8, 3, 0), True ), ( datetime.datetime(2021, 3, 15, 3, 0), False ), ( datetime.datetime(2021, 7, 5, 3, 0), True ), ( datetime.datetime(2021, 7, 9, 3, 0), False ), ( datetime.datetime(2021, 7, 12, 3, 0), False ), ], }, { 'schedule' : "Mon *", 'dates': [ ( datetime.datetime(2021, 3, 1, 3, 0), True ), ( datetime.datetime(2021, 3, 5, 3, 0), False ), ( datetime.datetime(2021, 3, 8, 3, 0), True ), ( datetime.datetime(2021, 3, 15, 3, 0), True ), ( datetime.datetime(2021, 7, 5, 3, 0), True ), ( datetime.datetime(2021, 7, 9, 3, 0), False ), ( datetime.datetime(2021, 7, 12, 3, 0), True ), ], }, { 'schedule' : "*", 'dates': [ ( datetime.datetime(2021, 3, 1, 3, 0), True ), ( datetime.datetime(2021, 3, 5, 3, 0), True ), ( datetime.datetime(2021, 3, 8, 3, 0), True ), ( datetime.datetime(2021, 3, 15, 3, 0), True ), ( datetime.datetime(2021, 7, 5, 3, 0), True ), ( datetime.datetime(2021, 7, 9, 3, 0), True ), ( datetime.datetime(2021, 7, 12, 3, 0), True ), ], }, ] @pytest.mark.parametrize("schedule,dates", [ (s['schedule'], s['dates']) for s in test_schedules ]) def test_schedule_parse(schedule, dates): """Various parsing examples for ScheduleDate. """ sd = ScheduleDate(schedule) for d in dates: assert (d[0] in sd) == d[1]

38.631148

67

0.472523

590

4,713

3.767797

0.137288

0.403059

0.296896

0.198381

0.7148

0.622132

0.547458

0.51327

0.45749

0

0.198071

0.340123

4,713

121

68

38.950413

0.51672

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0.424779

0

0.056845

0.005424

0

0.00885

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false

0

0.026549

0

0.035398

0

null

1

0

null

0

3

4757118cf4fa15f2912d20431e30d6ac139689aa

251

bzl

Python

scala/private/phases/phase_unused_deps_checker.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

scala/private/phases/phase_unused_deps_checker.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

scala/private/phases/phase_unused_deps_checker.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

# # PHASE: unused deps checker # # DOCUMENT THIS # load( "@io_bazel_rules_scala//scala/private:rule_impls.bzl", "get_unused_dependency_checker_mode", ) def phase_unused_deps_checker(ctx, p): return get_unused_dependency_checker_mode(ctx)

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null

0

1

0

1

null

0

1

0

3

47778d2cdb6d592fe17c85abb14686cdbbf4ef40

642

py

Python

gerador_senha.py

fabiobarretopro/Aprendendo-Python

a47acf6b9fdfdad55853e620db451a6a2e61bc6f

[ "MIT" ]

null

gerador_senha.py

fabiobarretopro/Aprendendo-Python

a47acf6b9fdfdad55853e620db451a6a2e61bc6f

[ "MIT" ]

null

gerador_senha.py

fabiobarretopro/Aprendendo-Python

a47acf6b9fdfdad55853e620db451a6a2e61bc6f

[ "MIT" ]

null

""" Security = chave 5ecur1ty = senha """ """hexadecimal: 1= 1 2=2 3=3 até 9=9 10 = A 11 = B 12 = C 13 = D 14 = E 15 = F """ chave = input("Digite a base da sua senha: ") senha = "" for letra in chave: if letra in "Aa": senha = senha + "1" elif letra in "Bb": senha = senha + "@" elif letra in "Cc": senha = senha + "2" elif letra in "Dd": senha = senha + "3" elif letra in "Ee": senha = senha + "4" elif letra in "Ff": senha = senha + "5" elif letra in "Rr": senha = senha + "#" elif letra in "Ss": senha = senha + "%" elif letra in "Mn": senha = senha + "$" else: senha = senha + letra print(senha)

20.0625

45

0.554517

104

642

3.423077

0.432692

0.308989

0.247191

0.160112

0.176966

0

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0.278816

642

31

46

20.709677

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false

0

0.071429

0

null

1

0

null

0

3

477b9c3705be5e84c3231f54314bd89dd796202b

676

gyp

Python

binding.gyp

bitdefender/simpletracer

f8307f72d821ea50adbd27efe6d9d9fb744285f5

[ "MIT" ]

9

2018-09-20T12:32:44.000Z

2021-02-24T20:42:31.000Z

binding.gyp

AGAPIA/simpletracer

4b7373bbb794a7cb03b86d92b614a340a875ce82

[ "MIT" ]

3

2018-10-15T23:00:15.000Z

2019-11-19T12:25:04.000Z

binding.gyp

bitdefender/simpletracer

f8307f72d821ea50adbd27efe6d9d9fb744285f5

[ "MIT" ]

8

2018-10-15T22:13:55.000Z

2022-01-11T15:37:24.000Z

{ "targets": [ { "target_name" : "libtracer", "type" : "static_library", "sources" : [ "./libtracer/basic.observer.cpp", "./libtracer/simple.tracer/simple.tracer.cpp", "./libtracer/annotated.tracer/TrackingExecutor.cpp", "./libtracer/annotated.tracer/BitMap.cpp", "./libtracer/annotated.tracer/annotated.tracer.cpp" ], "include_dirs": [ "./include", "./river.format/include", "<!(echo $RIVER_SDK_DIR)/include/" ], "conditions": [ ["OS==\"linux\"", { "cflags": [ "-g", "-m32", "-std=c++11", "-D__cdecl=''", "-D__stdcall=''" ] } ] ] } ] }

20.484848

60

0.507396

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676

5.758621

0.603448

0.143713

0.188623

0.242515

0

0.008114

0.27071

676

32

61

21.125

0.669371

0

0.0625

0

0.591716

0.378698

0

1

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true

0

null

0

1

0

null

0

1

0

3

479a994094a62083ebe4c1fc218b35e9ed2432dd

108

py

Python

python/testData/codeInsight/mlcompletion/numOfPrevQualifiersIs4.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/codeInsight/mlcompletion/numOfPrevQualifiersIs4.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

1

2020-07-30T19:04:47.000Z

python/testData/codeInsight/mlcompletion/numOfPrevQualifiersIs4.py

bradleesand/intellij-community

750ff9c10333c9c1278c00dbe8d88c877b1b9749

[ "Apache-2.0" ]

1

2020-10-15T05:56:42.000Z

class Clzz: def b(self): return Clzz() def c(self): return "123" a = Clzz() a.b().c().<caret>

10.8

17

0.527778

18

108

3.166667

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0

0.0375

0.259259

108

10

18

10.8

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0

0.027523

0

null

0

null

0

1

0

null

1

0

null

0

1

0

3

479c134e0e42a2cd04738776c6f3038e5464b7dd

102

py

Python

admin_list_charts/apps.py

foorilla/django-admin-list-charts

dd65d2ad4d6a34243afc97f6d4a34389c53c04e1

[ "MIT" ]

4

2021-11-19T12:47:09.000Z

2022-01-20T13:53:32.000Z

admin_list_charts/apps.py

foorilla/django-admin-list-charts

dd65d2ad4d6a34243afc97f6d4a34389c53c04e1

[ "MIT" ]

null

admin_list_charts/apps.py

foorilla/django-admin-list-charts

dd65d2ad4d6a34243afc97f6d4a34389c53c04e1

[ "MIT" ]

null

from django.apps import AppConfig class ListchartsConfig(AppConfig): name = 'admin_list_charts'

17

34

0.784314

12

102

6.5

0.916667

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0.147059

102

5

35

20.4

0.896552

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0.166667

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false

0

0.333333

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1

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null

0

1

0

null

0

1

0

3

479fc67fd43170a02d34b2d31f6ed580e4a36bb7

138

py

Python

pycorrel/__init__.py

maximegodin/pycorrel

5d4efcae129f1322eb95e5fc235f037325b6e8c5

[ "MIT" ]

null

pycorrel/__init__.py

maximegodin/pycorrel

5d4efcae129f1322eb95e5fc235f037325b6e8c5

[ "MIT" ]

null

pycorrel/__init__.py

maximegodin/pycorrel

5d4efcae129f1322eb95e5fc235f037325b6e8c5

[ "MIT" ]

null

"""Top-level package for pycorrel.""" __author__ = """Maxime Godin""" __email__ = 'maxime.godin@polytechnique.org' __version__ = '0.1.1'

23

44

0.702899

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138

5

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0

0.02439

0.108696

138

5

45

27.6

0.666667

0.224638

0

0.465347

0.29703

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

47c0e4ddb58875e7da7db66ad533602c5cb20865

1,992

py

Python

tests/test_assert.py

lunjon/asserty

95fa2702731495ada1d9c1572119cc8ccf06506c

[ "MIT" ]

2

2019-06-04T11:01:53.000Z

2020-07-28T08:58:29.000Z

tests/test_assert.py

lunjon/asserty

95fa2702731495ada1d9c1572119cc8ccf06506c

[ "MIT" ]

null

tests/test_assert.py

lunjon/asserty

95fa2702731495ada1d9c1572119cc8ccf06506c

[ "MIT" ]

null

from asserty import assert_that def test_equals_str(): assert_that("str").equals("str") assert_that("str").not_equals("yo") def test_equals_int(): assert_that(1).equals(1) assert_that(2).not_equals(3) def test_equals_float(): assert_that(1.2).equals(1.2) assert_that(0.1).not_equals(-0.1) def test_equals_with_same_class(): class Tmp: def __init__(self, var): self.var = var def __eq__(self, other): return self.var == other.var t1 = Tmp(1) t2 = Tmp(2) t3 = Tmp(1) assert_that(t1).equals(t1) assert_that(t1).equals(t3) assert_that(t1).not_equals(t2) assert_that(t3).not_equals(t2) def test_equals_with_list(): a = [1] b = [1] assert_that(a).equals(b) assert_that(a).not_equals([3]) def test_equals_with_dict(): a = {"a": 1} b = {"a": 1} assert_that(a).equals(b) assert_that(a).not_equals({"c": 2}) def test_is_none(): assert_that(None).is_none() assert_that("str").is_not_none() def test_has_type_on_str(): assert_that("str").has_type(str) assert_that("str").has_type("string") assert_that("str").not_has_type(int) assert_that("str").not_has_same_type_as(int) def test_is_in(): assert_that(1).is_in(range(10)) assert_that(10).is_not_in(range(10)) def test_greater(): assert_that(1).is_greater_than(0) assert_that(1).is_greater_or_equal_to(0) assert_that(1).is_greater_or_equal_to(1) def test_less(): assert_that(1).is_less_than(2) assert_that(1).is_less_or_equal_to(1) assert_that(1).is_less_or_equal_to(2) def test_has_attribute(): assert_that("str").has_attribute("__str__") class MyClass: name = "MyClass" assert_that("str").has_attribute("__str__") assert_that(MyClass()).has_attribute("name") def test_has_attribute_with_value(): class MyClass: name = "MyClass" assert_that(MyClass()).has_attribute_with_value("name", "MyClass")

20.536082

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0.661647

321

1,992

3.707165

0.17134

0.277311

0.098319

0.076471

0.463866

0.323529

0.159664

0.115966

0.065546

0

0.031443

0.185743

1,992

96

71

20.75

0.702219

0

0.129032

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0.042169

0

0.532258

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0.241935

false

0

0.016129

0.354839

0

null

1

0

null

0

1

0

1

0

3

47c8e0091d9218f66b6710518fd01d76e9a19d74

63

py

Python

berth/settings/test.py

joealcorn/berth.cc

9cba1355d49705a13ae58cfdffa26ee6a3fb9e31

[ "MIT" ]

null

berth/settings/test.py

joealcorn/berth.cc

9cba1355d49705a13ae58cfdffa26ee6a3fb9e31

[ "MIT" ]

null

berth/settings/test.py

joealcorn/berth.cc

9cba1355d49705a13ae58cfdffa26ee6a3fb9e31

[ "MIT" ]

null

from berth.settings.common import * CELERY_ALWAYS_EAGER = True

21

35

0.825397

9

63

5.555556

1

0

0.111111

63

2

36

31.5

0.892857

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

47dda0386a31c84db371895320fc16b2e17673c0

1,009

py

Python

ermaket/api/erd/er_entities/relation.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/erd/er_entities/relation.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/erd/er_entities/relation.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

from magic_repr import make_repr from .side import Side from ermaket.utils.xml import XMLObject __all__ = ['Relation'] class Relation(XMLObject): def __init__(self, name, sides): self.name = name self.sides = sides @property def _tag_name(self): return 'relation' @classmethod def make(cls, name, *sides): return cls(name, [Side(*args) for args in sides]) @classmethod def _from_xml(cls, tag): return cls._make_args( tag.find('name').text, [Side.from_xml(t) for t in tag.find_all('side')] ) def __len__(self): return len(self.sides) def invert(self): assert len(self.sides) == 2 return Relation(self.name, self.sides[::-1]) def to_xml(self): tag = self.soup.new_tag(self._tag_name) tag.append(self.new_tag('name', self.name)) [tag.append(s.to_xml()) for s in self.sides] return tag Relation.__repr__ = make_repr('name', 'sides')

22.931818

60

0.608523

139

1,009

4.179856

0.280576

0.077453

0.04475

0

0.002699

0.26561

1,009

43

61

23.465116

0.781377

0

0.064516

0

0.03667

0

0.032258

1

0.225806

false

0

0.096774

0.129032

0.548387

0

null

0

null

0

1

0

1

0

3

47df1f90deb717c5115c92eef13bc53988ba254d

137

py

Python

models/chars_conv_dilated_conv/__init__.py

haofengrushui204/tf_ner

68098aa14ed7d369315a08255e5f7bb708fbf9b2

[ "Apache-2.0" ]

null

models/chars_conv_dilated_conv/__init__.py

haofengrushui204/tf_ner

68098aa14ed7d369315a08255e5f7bb708fbf9b2

[ "Apache-2.0" ]

null

models/chars_conv_dilated_conv/__init__.py

haofengrushui204/tf_ner

68098aa14ed7d369315a08255e5f7bb708fbf9b2

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- """ @file name: __init__.py.py Created on 2019/5/14 @author: kyy_b @desc: """ if __name__ == "__main__": pass

13.7

26

0.605839

21

137

3.333333

0.904762

0

0.070796

0.175182

137

10

27

13.7

0.548673

0.664234

0

0.205128

0

1

0

true

0.5

0

1

0

null

0

null

0

1

0

3

47e9eb6fc699e47f2c3bae32188b7d1e89d8ff88

198

py

Python

Exercicios/ex013.py

GabrielMazzuchello/Curso-Em-Video

2bf7847f23980e0ce63312997318a43000246bfa

[ "MIT" ]

2

2021-11-13T13:52:56.000Z

2022-03-29T18:10:27.000Z

Exercicios/ex013.py

GabrielMazzuchello/Curso-Em-Video

2bf7847f23980e0ce63312997318a43000246bfa

[ "MIT" ]

null

Exercicios/ex013.py

GabrielMazzuchello/Curso-Em-Video

2bf7847f23980e0ce63312997318a43000246bfa

[ "MIT" ]

null

s = float(input('qual erá o salario do funcionario? R$')) aul = s * 15 / 100 print('o salario do funcionari que andes custava R${:.2f} agora com 15% de aumento custará R${:.2f}'.format(s, (s+aul)))

49.5

120

0.666667

36

198

3.666667

0.694444

0.121212

0.151515

0

0.054217

0.161616

198

3

121

66

0.740964

0

0.333333

0.651515

0

1

0

false

0

0.333333

0

null

0

1

0

1

0

null

0

3

47f03e23340c151e0178f6dba9343ffd42306492

1,337

py

Python

tests/__init__.py

thewchan/abbr-cli

76e7864ee1e2aa99f4597bce792ad4b781d7a894

[ "MIT" ]

20

2021-07-08T21:40:28.000Z

2022-02-02T15:44:58.000Z

tests/__init__.py

thewchan/abbr-cli

76e7864ee1e2aa99f4597bce792ad4b781d7a894

[ "MIT" ]

1

2021-07-18T12:59:13.000Z

2022-01-27T10:04:13.000Z

tests/__init__.py

thewchan/abbr-cli

76e7864ee1e2aa99f4597bce792ad4b781d7a894

[ "MIT" ]

1

2021-07-15T17:36:05.000Z

from docopt import docopt from abbr import __main__ from abbr.core import main _mocked_html = """ <html> <table class="no-margin"> <tbody> <tr> <dir> </dir> term1 <td> <a>abbr1</a> </td> <a>category1</a> </tr> <tr> <dir> </dir> TERM2 <td> <a>ABBR2</a> </td> <a>category2</a> </tr> <tr> <dir> </dir> Term3 <td> <a>Abbr3</a> </td> <a>category3</a> </tr> </tbody> </table> </html> """ def abbr_cli(args: str): args = docopt(__main__.__doc__, args.split()) return main(args)

21.918033

49

0.344802

128

1,337

3.484375

0.296875

0.181614

0.221973

0.201794

0.455157

0.360987

0.349776

0

0.013255

0.492147

1,337

60

50

22.283333

0.643594

0

0.589286

0

0.848915

0.049364

0

1

0.017857

false

0

0.053571

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0.089286

0

null

0

1

0

1

0

null

0

3

47f114e87a2710656c3ec137ca21aae174103218

431

py

Python

lib/include_torch.py

DWRex/HuBMAP-Kidney-My-U-Net

7affe4c683fd50f263db5af3bc92abd43fae86c5

[ "MIT" ]

null

lib/include_torch.py

DWRex/HuBMAP-Kidney-My-U-Net

7affe4c683fd50f263db5af3bc92abd43fae86c5

[ "MIT" ]

null

lib/include_torch.py

DWRex/HuBMAP-Kidney-My-U-Net

7affe4c683fd50f263db5af3bc92abd43fae86c5

[ "MIT" ]

null

# torch libs import torch from torch.utils.data.dataset import Dataset from torch.utils.data import DataLoader from torch.utils.data.sampler import * import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torch.nn.parallel.data_parallel import data_parallel from torch.nn.utils.rnn import * def seed_torch(seed): torch.manual_seed(seed) torch.cuda.manual_seed_all(seed) return seed

21.55

57

0.788863

70

431

4.771429

0.314286

0.134731

0.125749

0.161677

0

0.139211

431

19

58

22.684211

0.90027

0.023202

0

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0.076923

false

0

0.692308

0

0.846154

0

null

0

1

0

null

0

1

0

1

0

3

47f63e99b122eac1d65f45f14504d2a75197ab7f

1,430

py

Python

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/i/invalid/invalid_hash_returned.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

463

2015-01-15T08:17:42.000Z

2022-03-28T15:10:20.000Z

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/i/invalid/invalid_hash_returned.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

52

2015-01-06T02:43:59.000Z

2022-03-14T11:15:21.000Z

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/i/invalid/invalid_hash_returned.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

249

2015-01-07T22:49:49.000Z

2022-03-18T02:32:06.000Z

"""Check invalid value returned by __hash__ """ # pylint: disable=too-few-public-methods,missing-docstring,no-self-use,import-error, useless-object-inheritance import six from missing import Missing class FirstGoodHash(object): """__hash__ returns <type 'int'>""" def __hash__(self): return 1 class SecondGoodHash(object): """__hash__ returns <type 'int'>""" def __hash__(self): return 0 class HashMetaclass(type): def __hash__(cls): return 1 @six.add_metaclass(HashMetaclass) class ThirdGoodHash(object): """Hash through the metaclass.""" class FirstBadHash(object): """ __hash__ returns a dict """ def __hash__(self): # [invalid-hash-returned] return {} class SecondBadHash(object): """ __hash__ returns str """ def __hash__(self): # [invalid-hash-returned] return "True" class ThirdBadHash(object): """ __hash__ returns a float""" def __hash__(self): # [invalid-hash-returned] return 1.11 class FourthBadHash(object): """ __hash__ returns node which does not have 'value' in AST """ def __hash__(self): # [invalid-hash-returned] return lambda: 3 class AmbigousHash(object): """ Uninferable return value """ __hash__ = lambda self: Missing class AnotherAmbiguousHash(object): """Potential uninferable return value""" def __hash__(self): return hash(Missing)

19.861111

111

0.665734

160

1,430

5.54375

0.4

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0.086809

0.081172

0.254791

0.092446

0

0.006211

0.211888

1,430

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112

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0.780834

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0

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0.266667

0.966667

0

null

0

null

0

1

0

1

0

3

47fdafa169533f703e4d5dd1984bdba6e515a2c1

408

py

Python

python-flask/tests/test_api.py

PinZhang/Boilerplates

af423d3ce8b1d1b722a7fcebab5d4f89e9170648

[ "Apache-2.0" ]

null

python-flask/tests/test_api.py

PinZhang/Boilerplates

af423d3ce8b1d1b722a7fcebab5d4f89e9170648

[ "Apache-2.0" ]

null

python-flask/tests/test_api.py

PinZhang/Boilerplates

af423d3ce8b1d1b722a7fcebab5d4f89e9170648

[ "Apache-2.0" ]

null

# Copyright (c) 2016 Acadine Technologies # All rights reserved. import unittest from app import app class APITestCase(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_index(self): with app.test_client() as client: resp = client.get('/') self.assertEqual('Hello, world!', resp.data, msg='unexpected index response')

21.473684

89

0.642157

49

408

5.306122

0.693878

0.061538

0.084615

0

0.013158

0.254902

408

18

90

22.666667

0.842105

0.147059

0

0.181818

0

0.113372

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1

0.272727

false

0.181818

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0

null

0

null

0

1

0

1

0

1

0

3

9a026e17f906676e6c9edfe05f8e931ed9f425f0

163

py

Python

src/dataset/__init__.py

JonasFrey96/DenseFusion

0875483a0f7570dbc1842fdb51206fd7dc2b2ac1

[ "MIT" ]

2

2020-12-15T07:56:08.000Z

2021-06-15T14:14:32.000Z

src/dataset/__init__.py

JonasFrey96/DenseFusion

0875483a0f7570dbc1842fdb51206fd7dc2b2ac1

[ "MIT" ]

1

2021-01-12T10:36:43.000Z

src/dataset/__init__.py

JonasFrey96/DenseFusion

0875483a0f7570dbc1842fdb51206fd7dc2b2ac1

[ "MIT" ]

1

2020-12-16T08:43:17.000Z

from .backend import Backend from .dataset_ycb import YCB from .dataset_generic import GenericDataset __all__ = ( 'GenericDataset', 'YCB', 'Backend' )

18.111111

43

0.723926

18

163

6.222222

0.444444

0.196429

0

0.190184

163

9

44

18.111111

0.848485

0

0.146341

0

1

0

false

0

0.375

0

0.375

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1

0

null

0

1

0

null

0

1

0

3

9a54cb26f7194295437e52cc17eff62e8c775fdc

251

py

Python

bookworm/ocr_engines/__init__.py

xingkong0113/bookworm

7214067f48e7a951198806a1f9170e3fd8fc0cce

[ "MIT" ]

36

2020-11-15T03:21:39.000Z

2022-03-05T01:11:26.000Z

bookworm/ocr_engines/__init__.py

xingkong0113/bookworm

7214067f48e7a951198806a1f9170e3fd8fc0cce

[ "MIT" ]

90

2020-10-06T14:46:07.000Z

2022-03-31T03:03:34.000Z

bookworm/ocr_engines/__init__.py

xingkong0113/bookworm

7214067f48e7a951198806a1f9170e3fd8fc0cce

[ "MIT" ]

20

2020-09-30T17:40:44.000Z

2022-03-17T19:59:53.000Z

# coding: utf-8 from .base import OcrRequest, OcrResult, BaseOcrEngine from .tesseract_ocr_engine import TesseractOcrEngine # from .tesseract_ocr_engine.tesseract_alt import TesseractOcrEngineAlt GENERIC_OCR_ENGINES = [ TesseractOcrEngine, ]

19.307692

71

0.816733

27

251

7.333333

0.62963

0.131313

0.161616

0.222222

0

0.004566

0.12749

251

12

72

20.916667

0.899543

0.330677

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

9a6d230b66eab68f7c6c74ac1d10cb5ce470207a

200

py

Python

conf/implicit/cse/more_comp_layers.py

edvisees/DDSemantics

9044e4afa6f9d6d7504de028633295f30679278d

[ "Apache-2.0" ]

null

conf/implicit/cse/more_comp_layers.py

edvisees/DDSemantics

9044e4afa6f9d6d7504de028633295f30679278d

[ "Apache-2.0" ]

null

conf/implicit/cse/more_comp_layers.py

edvisees/DDSemantics

9044e4afa6f9d6d7504de028633295f30679278d

[ "Apache-2.0" ]

null

import os c.ArgModelPara.arg_composition_layer_sizes = 600, 300, 300 c.ArgModelPara.event_composition_layer_sizes = 400, 200, 200 c.Basic.model_name = os.path.basename(__file__).replace('.py', '')

25

66

0.775

30

200

4.8

0.7

0.180556

0.291667

0

0.099448

0.095

200

7

67

28.571429

0.696133

0

0.015075

0

1

0

true

0

0.25

0

0.25

0

null

0

1

0

1

0

null

0

1

0

3

d08ccda9dbf1cb21bc17958b11ceacec2eadb75e

53

py

Python

Aula011/prova.py

FlaYukari/Exerc-cios-Python-3--Mundo-01

4b7e3149806d851209edc9bf643b5abd072e9bc8

[ "MIT" ]

null

Aula011/prova.py

FlaYukari/Exerc-cios-Python-3--Mundo-01

4b7e3149806d851209edc9bf643b5abd072e9bc8

[ "MIT" ]

null

Aula011/prova.py

FlaYukari/Exerc-cios-Python-3--Mundo-01

4b7e3149806d851209edc9bf643b5abd072e9bc8

[ "MIT" ]

null

x = 'curso de python no cursoemvideo' print(19 // 2)

26.5

38

0.679245

9

53

4

1

0

0.069767

0.188679

53

2

39

26.5

0.767442

0

0.584906

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

d0aec0e2d1e72839da0a9e3d7c34c203c231cc92

517

py

Python

django_docutils/lib/roles/pypi.py

tony/django-docutils

ed3e089728507a0f579a62bcb182f283bc59929c

[ "MIT" ]

10

2017-04-28T00:19:10.000Z

2020-07-22T15:27:09.000Z

django_docutils/lib/roles/pypi.py

tony/django-docutils

ed3e089728507a0f579a62bcb182f283bc59929c

[ "MIT" ]

231

2017-01-17T04:47:51.000Z

2022-03-30T03:03:42.000Z

django_docutils/lib/roles/pypi.py

tony/django-docutils

ed3e089728507a0f579a62bcb182f283bc59929c

[ "MIT" ]

1

2019-01-25T14:42:15.000Z

from .common import generic_url_role def pypi_role(name, rawtext, text, lineno, inliner, options={}, content=[]): """Role for linking to pypi page. :pypi:`libsass` -> link: https://pypi.python.org/pypi/libsass text: libsass :pypi:`a pypi package <libsass>` -> link: https://pypi.python.org/pypi/libsass text: a pypi package """ def url_handler(target): return f'https://pypi.python.org/pypi/{target}' return generic_url_role(name, text, url_handler)

24.619048

76

0.644101

69

517

4.724638

0.434783

0.101227

0.138037

0.165644

0.337423

0.269939

0

0.2147

517

20

77

25.85

0.802956

0.427466

0

0.141762

0

1

0.4

false

0

0.2

1

0

null

0

1

0

null

0

1

0

1

0

3

d0bfb478791a7b9159269b823f23d355f7073d10

430

py

Python

commonsub.py

boddulurisrisai/python-practice

bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28

[ "bzip2-1.0.6" ]

1

2021-04-16T07:12:36.000Z

commonsub.py

boddulurisrisai/python-practice

bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28

[ "bzip2-1.0.6" ]

null

commonsub.py

boddulurisrisai/python-practice

bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28

[ "bzip2-1.0.6" ]

null

x=input('enter str1') y=input('enter str2') a=[] b=[];c=[];max=-1 for i in range(len(x)+1): for j in range(i+1,len(x)+1): a.append(x[i:j]) for i in range(len(y)+1): for j in range(i+1,len(y)+1): b.append(y[i:j]) for i in range(len(a)): for j in range(len(b)): if a[i]==b[j]: if len(a[i])>max: max=len(a[i]) c=a[i] print(c)

22.631579

34

0.437209

86

430

2.186047

0.232558

0.223404

0.212766

0.175532

0.425532

0.351064

0.180851

0

0.03169

0.339535

430

18

35

23.888889

0.630282

0

0.048544

0

1

0

false

0

0.058824

0

null

1

0

null

0

3

d0c0dc242fba4562538130ad6689edaf8d155824

159

py

Python

mmdet3d/models/necks/__init__.py

Discover304/MMDetection3D-Explainable

265be9eba643a253a0d0bd24fb1f74a3f43a0b45

[ "Apache-2.0" ]

null

mmdet3d/models/necks/__init__.py

Discover304/MMDetection3D-Explainable

265be9eba643a253a0d0bd24fb1f74a3f43a0b45

[ "Apache-2.0" ]

null

mmdet3d/models/necks/__init__.py

Discover304/MMDetection3D-Explainable

265be9eba643a253a0d0bd24fb1f74a3f43a0b45

[ "Apache-2.0" ]

null

19.875

47

0.72956

21

159

5.285714

0.666667

0.162162

0

0.163522

159

7

48

22.714286

0.834586

0.283019

0

0.107143

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

d0cca564a6be1fa204b84208966067a7a6219bf7

225

py

Python

day3_assignment.py

AMAN-0228/letsupdgrade-python

67283cd53dab4e645a990619125df027c7bac771

[ "Apache-2.0" ]

null

day3_assignment.py

AMAN-0228/letsupdgrade-python

67283cd53dab4e645a990619125df027c7bac771

[ "Apache-2.0" ]

null

day3_assignment.py

AMAN-0228/letsupdgrade-python

67283cd53dab4e645a990619125df027c7bac771

[ "Apache-2.0" ]

null

altitude = int(input("CURRENT ALTITUDE:")) if altitude <=1000: print("You can land the plan") elif altitude > 1000 and altitude < 5000: print("Come down to 1000") else: print("Turn around")

22.5

43

0.604444

29

225

4.689655

0.724138

0.176471

0

0.09816

0.275556

225

9

44

25

0.736196

0

0.306977

0

1

0

false

0

0.428571

1

0

null

0

1

0

null

0

1

0

3

ef9d1e116cf0b25c7cf7813a92adc624d37519be

167

py

Python

keg_apps/logging.py

level12/keg

6f148a9bd0b8e167007ed5c2a0000daf7de3aee2

[ "BSD-3-Clause" ]

15

2015-06-26T09:01:53.000Z

2020-08-28T16:29:14.000Z

keg_apps/logging.py

level12/keg

6f148a9bd0b8e167007ed5c2a0000daf7de3aee2

[ "BSD-3-Clause" ]

165

2015-03-27T06:49:38.000Z

2022-03-11T21:39:52.000Z

keg_apps/logging.py

level12/keg

6f148a9bd0b8e167007ed5c2a0000daf7de3aee2

[ "BSD-3-Clause" ]

9

2015-04-22T17:03:32.000Z

2018-06-25T17:48:15.000Z

from __future__ import absolute_import import logging from keg.app import Keg log = logging.getLogger(__name__) class LoggingApp(Keg): import_name = __name__

13.916667

38

0.784431

22

167

5.318182

0.545455

0

0.161677

167

11

39

15.181818

0.835714

0

1

0

false

0

0.666667

0

1

0

1

0

null

0

null

0

1

0

1

0

3

efa84be12c256277c148685ec8c375de5b02b490

1,264

py

Python

reserved/settings/dev_jay.py

Strangemother/coffee

e5ee7a62e3cb0fc5d4638decaded9905bf3cae74

[ "MIT" ]

null

reserved/settings/dev_jay.py

Strangemother/coffee

e5ee7a62e3cb0fc5d4638decaded9905bf3cae74

[ "MIT" ]

null

reserved/settings/dev_jay.py

Strangemother/coffee

e5ee7a62e3cb0fc5d4638decaded9905bf3cae74

[ "MIT" ]

null

from .base import * DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'reserved_dev', #'USER': 'reserved', #'PASSWORD': get_env_variable('RESERVED_DB_PASS'), 'HOST': '', # Empty for localhost through domain sockets or '127.0.0.1' for localhost through TCP. # 'OPTIONS': {'init_command': 'SET storage_engine=MYISAM'}, } } DEBUG_TOOLBAR_PANELS = [ 'debug_toolbar.panels.versions.VersionsPanel', 'debug_toolbar.panels.timer.TimerPanel', 'debug_toolbar.panels.settings.SettingsPanel', 'debug_toolbar.panels.headers.HeadersPanel', 'debug_toolbar.panels.request.RequestPanel', 'debug_toolbar.panels.sql.SQLPanel', 'debug_toolbar.panels.staticfiles.StaticFilesPanel', 'debug_toolbar.panels.templates.TemplatesPanel', 'debug_toolbar.panels.cache.CachePanel', 'debug_toolbar.panels.signals.SignalsPanel', 'debug_toolbar.panels.logging.LoggingPanel', 'debug_toolbar.panels.redirects.RedirectsPanel', ] # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'dfoihjehrp' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True TEMPLATE_DEBUG = True ALLOWED_HOSTS = []

32.410256

127

0.699367

139

1,264

6.18705

0.604317

0.181395

0.272093

0

0.006724

0.176424

1,264

38

128

33.263158

0.819404

0.268987

0

0.615468

0.568627

0

1

0

false

0

0.038462

0

0.038462

0

null

0

1

0

1

null

0

3

efe08d9a28d33a25508a834211749d2a0fd273be

253

py

Python

remote_kernel_provider/__init__.py

datalayer-contrib/jupyter-kernel-provider-remote

166aac497435c7d6ea27ddef3dd616045abe1b57

[ "BSD-3-Clause" ]

3

2019-07-24T00:31:18.000Z

2021-02-28T16:38:47.000Z

remote_kernel_provider/__init__.py

kevin-bates/remote_kernel_provider

855875a8259ba84ba5cdc9dba8fa2eeb29d19b12

[ "BSD-3-Clause" ]

13

2019-06-12T08:11:46.000Z

2020-02-03T17:19:17.000Z

remote_kernel_provider/__init__.py

kevin-bates/remote_kernel_provider

855875a8259ba84ba5cdc9dba8fa2eeb29d19b12

[ "BSD-3-Clause" ]

3

2019-07-03T18:34:46.000Z

2020-01-15T21:11:13.000Z

from .provider import RemoteKernelProviderBase from .manager import RemoteKernelManager __author__ = """Jupyter Development Team""" __email__ = 'jupyter@googlegroups.com' __version__ = '0.1.0' __all__ = [RemoteKernelProviderBase, RemoteKernelManager]

28.111111

57

0.810277

23

253

8.217391

0.73913

0

0.013158

0.098814

253

8

58

31.625

0.815789

0

0.209486

0.094862

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

4bea5c90f16bafd0ed85ef3266af20789e882aea

890

py

Python

app/auth/forms.py

goalong/flask-demo

33fc1b8a72e6c67581ac949a55773ffad9ee7af7

[ "MIT" ]

45

2016-02-20T15:20:49.000Z

2022-03-03T18:07:51.000Z

app/auth/forms.py

goalong/flask-demo

33fc1b8a72e6c67581ac949a55773ffad9ee7af7

[ "MIT" ]

null

app/auth/forms.py

goalong/flask-demo

33fc1b8a72e6c67581ac949a55773ffad9ee7af7

[ "MIT" ]

13

2017-02-04T13:45:55.000Z

2020-07-15T07:07:56.000Z

# encoding: utf-8 from flask_wtf import FlaskForm from wtforms import StringField, PasswordField, BooleanField, SubmitField from wtforms.validators import DataRequired, Length, Email class LoginForm(FlaskForm): email = StringField(u'邮箱', validators=[DataRequired(), Length(1, 64), Email()]) password = PasswordField(u'密码', validators=[DataRequired()]) remember_me = BooleanField(u'记住我') submit = SubmitField(u'登录') class RegisterForm(FlaskForm): email = StringField(u'邮箱', validators=[DataRequired(), Length(1, 64), Email()]) username = StringField(u'名称', validators=[DataRequired(), Length(1, 128)]) password = PasswordField(u'密码', validators=[DataRequired()]) password_confirm = PasswordField(u'密码确认', validators=[DataRequired()]) submit = SubmitField(u'注册')

42.380952

78

0.653933

89

890

6.505618

0.41573

0.227979

0.145078

0.150259

0.379965

0.221071

0

0.015805

0.217978

890

20

79

44.5

0.816092

0.016854

0

0.375

0

0.024055

0

1

0

false

0.25

0.1875

0

0.875

0

null

1

0

null

0

1

0

1

0

3

4bf393670003fcf8cb91cbdc5729e2c65540fa4d

65

py

Python

ssz/sedes/__init__.py

jannikluhn/py-ssz

ebbc50b0ed266b654e0be2e9bf806a962ddf5271

[ "MIT" ]

null

ssz/sedes/__init__.py

jannikluhn/py-ssz

ebbc50b0ed266b654e0be2e9bf806a962ddf5271

[ "MIT" ]

null

ssz/sedes/__init__.py

jannikluhn/py-ssz

ebbc50b0ed266b654e0be2e9bf806a962ddf5271

[ "MIT" ]

null

from .boolean import ( # noqa: F401 boolean, Boolean, )

13

36

0.6

7

65

5.571429

0.714286

0

0.065217

0.292308

65

4

37

16.25

0.782609

0.153846

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

4bfa4d4ae0f9f8bf302baca5e6b3672f589737c8

171

py

Python

forum/urls.py

AngeloZan/CodeZone

a9ed4e3d3c5b69e9f385fa2108059db1565022a0

[ "MIT" ]

null

forum/urls.py

AngeloZan/CodeZone

a9ed4e3d3c5b69e9f385fa2108059db1565022a0

[ "MIT" ]

null

forum/urls.py

AngeloZan/CodeZone

a9ed4e3d3c5b69e9f385fa2108059db1565022a0

[ "MIT" ]

null

from django.urls import path from forum.views import ( new_post_view, ) app_name = 'forum' urlpatterns = [ path('new-post/', new_post_view, name='new_post'), ]

14.25

54

0.684211

25

171

4.44

0.52

0.252252

0.198198

0

0.181287

171

11

55

15.545455

0.792857

0

0.128655

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

null

0

3

ef1be57ae19b6f49453be6d2cf52f93a0c1b02eb

143

py

Python

PairPlot.py

bhavyatrivedi7/Seaborn

4562dd5b7104a10a642726660189ec2146b61e12

[ "MIT" ]

null

PairPlot.py

bhavyatrivedi7/Seaborn

4562dd5b7104a10a642726660189ec2146b61e12

[ "MIT" ]

null

PairPlot.py

bhavyatrivedi7/Seaborn

4562dd5b7104a10a642726660189ec2146b61e12

[ "MIT" ]

null

import seaborn as sns import matplotlib.pyplot as plt df=sns.load_dataset("tips") sns.pairplot(df,hue="sex",palette="hot",height=2) plt.show()

23.833333

49

0.762238

25

143

4.32

0.76

0

0.007576

0.076923

143

5

50

28.6

0.810606

0

0.06993

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

ef2ce2be7216993c60d5312409b1f25ca405508f

133

py

Python

Q3/Rec_Task/tab_script.py

vs666/Data-Scraping-and-Analysis

ed9df3990fcd02ad362347992bba7bdef6f5e712

[ "MIT" ]

null

Q3/Rec_Task/tab_script.py

vs666/Data-Scraping-and-Analysis

ed9df3990fcd02ad362347992bba7bdef6f5e712

[ "MIT" ]

null

Q3/Rec_Task/tab_script.py

vs666/Data-Scraping-and-Analysis

ed9df3990fcd02ad362347992bba7bdef6f5e712

[ "MIT" ]

null

from tabula import read_pdf fn = input('Enter filename : ') df = read_pdf(fn,pages="all",guess=True,multiple_tables=True,) print(df)

26.6

62

0.744361

22

133

4.363636

0.772727

0.145833

0.1875

0

0.105263

133

5

63

26.6

0.806723

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0.149254

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1

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false

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0.25

1

0

null

0

1

0

1

0

null

0

3

ef3036776e0d5402a07b20fc113b54435e875fd6

220

py

Python

Voetbal_club.py

LuckyLuuk035/Monte-Carlo_Luuk-Bouwman

f82a700ac002593eafd02cdcd242c167181f86ea

[ "MIT" ]

null

Voetbal_club.py

LuckyLuuk035/Monte-Carlo_Luuk-Bouwman

f82a700ac002593eafd02cdcd242c167181f86ea

[ "MIT" ]

null

Voetbal_club.py

LuckyLuuk035/Monte-Carlo_Luuk-Bouwman

f82a700ac002593eafd02cdcd242c167181f86ea

[ "MIT" ]

null

class VoetbalClub: """ VoetbalClub is een simpele class. Gemaakt om het aantal punten van de clubs bij te kunnen houden. """ def __init__(self, naam): self.naam = naam self.punten = 0

24.444444

67

0.622727

29

220

4.586207

0.758621

0.120301

0

0.006494

0.3

220

8

68

27.5

0.857143

0.440909

0

1

0.25

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

ef30b99f38deafadb9d35a801c70a3a4c3d33fc3

1,830

py

Python

readme.py

25prajwal/wifimangement_linux

766f825114fefa3b3d5bfbc71be88dd2fa5b07db

[ "MIT" ]

1

2022-02-14T09:49:48.000Z

readme.py

25prajwal/wifimangement_linux

766f825114fefa3b3d5bfbc71be88dd2fa5b07db

[ "MIT" ]

1

2021-12-21T09:31:40.000Z

2021-12-21T09:31:43.000Z

readme.py

25prajwal/wifimangement_linux

766f825114fefa3b3d5bfbc71be88dd2fa5b07db

[ "MIT" ]

1

2021-12-27T09:49:50.000Z

import wifimangement-linux as wifi # to disable(off) the wifi # wifi.off() # to enable(on) the wifi # wifi.on() # connect the wifi to network(name as wifi-name or your wifi name ) if the password # wifi.connect("wifi-name") # connect the wifi to network(name as wifi-name with password) # wifi.connect("wifi-name","wifi-password") # to scan local wi-fi network # wifi.scan() # get list of scan network # wifi.list() # share a connect wifi (information and password) # wifi.share() # share a connect wifi (information and password) with qr code # wifi.share("qr") # it return connect wifi password (pass=wifi.share("psk")) it store password in pass) # wifi.share("psk") # it create hostop (with name as hostop-name and password as password ) =>note:- to off hostop and turn on wifi use (wifi.on()) # wifi.hostop("hostop-name","password") # it return list out all interface in pc (inter_list=wifi.interface_list()) its store list of interface in inter_list # wifi.interface_list() # it return interfac stutus in pc (inter_stutas=wifi.interface_status()) its store interface status in inter_status # wifi.interface_status() # it return interfac configration in pc (inter_conf=wifi.interface_status()) its store interface config in inter_conf # wifi.interface_config() # it return interfac configration at certain interface in pc (inter_conf_wlan0=wifi.interface_status("wlan0")) its store interface config of wlan0 in inter_conf_wlan # wifi.interface_config("interface") # return gateway of router (its an ip address of router) # wifi.gateway() # return ip addres of pc # wifi.ip() # its return wifi they password in dictory (dic=wifi.store()) its store all saved wifi and password in dictory name as div # wifi.store() # its print all saved wifi and password in nice table format # wifi.printpsk()

32.678571

168

0.74153

290

1,830

4.617241

0.262069

0.07767

0.026886

0.023898

0.31068

0.20463

0.113518

0.055265

0

0.001948

0.15847

1,830

56

169

32.678571

0.867532

0.931148

0

null

0

1

null

0

null

0

1

0

null

0

1

0

1

0

3

ef4acbe844fa7468574e22788a17bdf1a95ae1fe

246

py

Python

month01/all_code/day02/exercise04.py

chaofan-zheng/tedu-python-demo

abe983ddc52690f4726cf42cc6390cba815026d8

[ "Apache-2.0" ]

4

2021-01-07T14:25:15.000Z

2021-02-01T10:36:10.000Z

month01/all_code/day02/exercise04.py

chaofan-zheng/tedu-python-demo

abe983ddc52690f4726cf42cc6390cba815026d8

[ "Apache-2.0" ]

null

month01/all_code/day02/exercise04.py

chaofan-zheng/tedu-python-demo

abe983ddc52690f4726cf42cc6390cba815026d8

[ "Apache-2.0" ]

null

""" 画出下列代码内存图,说出终端显示结果 """ # insert 键:切换插入或者改写模式 name_of_beijing, region = "北京", "市" name_of_beijing_region = name_of_beijing + region region = "省" print(name_of_beijing_region) # 北京市 del name_of_beijing print(name_of_beijing_region) # 北京市

22.363636

49

0.756098

37

246

4.621622

0.405405

0.210526

0.45614

0.555556

0.315789

0

0.134146

246

10

50

24.6

0.802817

0.191057

0

0.333333

0

0.021622

0

1

0

false

0

0.333333

0

null

1

0

null

0

3

ef5b176184c9eeadd35333e33ddaad112fa1db0a

623

py

Python

setup.py

chrisvoncsefalvay/processpathway

d10ad6af2f469155a530cac6bff7a9704ccfec0f

[ "MIT" ]

null

setup.py

chrisvoncsefalvay/processpathway

d10ad6af2f469155a530cac6bff7a9704ccfec0f

[ "MIT" ]

null

setup.py

chrisvoncsefalvay/processpathway

d10ad6af2f469155a530cac6bff7a9704ccfec0f

[ "MIT" ]

null

from distutils.core import setup setup( name='processpathway', version='0.3.11', packages=['processpathway'], url='https://www.github.com/chrisvoncsefalvay/processpathway', license='MIT', author='Chris von Csefalvay', author_email='chris@chrisvoncsefalvay.com', download_url='https://github.com/chrisvoncsefalvay/processpathway/tarball/0.3.11', description='A nifty little toolkit to create stress-free, frustrationless image processing pathways from your webcam for computer vision experiments. Or observing your cat.', keywords=['image processing', 'computer vision', 'opencv'] )

41.533333

179

0.741573

73

623

6.30137

0.69863

0.008696

0.017391

0.173913

0

0.014842

0.134831

623

14

180

44.5

0.83859

0

0.076923

0.64366

0.043339

0

1

0

true

0

0.076923

0

0.076923

0

null

0

1

0

1

0

null

0

1

0

3

3237604f4db0f37db932f148f6d237d4ff2aa979

90

py

Python

djangocms_navigation/__init__.py

chaosk/djangocms-navigation

0b0cbdf58dd98670094365e5c64e5088656bf77d

[ "BSD-3-Clause" ]

null

djangocms_navigation/__init__.py

chaosk/djangocms-navigation

0b0cbdf58dd98670094365e5c64e5088656bf77d

[ "BSD-3-Clause" ]

null

djangocms_navigation/__init__.py

chaosk/djangocms-navigation

0b0cbdf58dd98670094365e5c64e5088656bf77d

[ "BSD-3-Clause" ]

null

__version__ = "0.0.14" default_app_config = "djangocms_navigation.apps.NavigationConfig"

22.5

65

0.811111

11

90

6

0.909091

0

0.048193

0.077778

90

3

66

30

0.746988

0

0.533333

0.466667

0

1

0

false

0

1

0

null

0

1

0

1

null

0

3