xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

6be6bc11e82eb2b9ded455c2d076076a123aceeb

101

py

Python

parkingsystem/apps.py

magaust/jaipurSmartPark

03430a885f1e98badf852985c5b4ba4db2b3795c

[ "MIT" ]

null

parkingsystem/apps.py

magaust/jaipurSmartPark

03430a885f1e98badf852985c5b4ba4db2b3795c

[ "MIT" ]

null

parkingsystem/apps.py

magaust/jaipurSmartPark

03430a885f1e98badf852985c5b4ba4db2b3795c

[ "MIT" ]

1

2018-09-06T17:30:51.000Z

from django.apps import AppConfig class ParkingsystemConfig(AppConfig): name = 'parkingsystem'

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6bea5e223939d91a5ecfb1e6c59bac171310d8de

49

py

Python

authentication/Config/CONFIG_LOG.py

wisrovi/Server-Hospital-Smart-Bracelet

03b71f03da7450a14cb1c45e51c3ae9401058dc8

[ "MIT" ]

null

authentication/Config/CONFIG_LOG.py

wisrovi/Server-Hospital-Smart-Bracelet

03b71f03da7450a14cb1c45e51c3ae9401058dc8

[ "MIT" ]

4

2021-03-19T10:58:51.000Z

2021-06-10T20:07:14.000Z

authentication/Config/CONFIG_LOG.py

wisrovi/Server-Hospital-Smart-Bracelet

03b71f03da7450a14cb1c45e51c3ae9401058dc8

[ "MIT" ]

null

import logging MESSAGES_LOG_VIEW = logging.DEBUG

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4

d4070239c7325f90baf5896e7f290fe6e6c6325e

141

py

Python

src/files/forms.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

null

src/files/forms.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

10

2020-02-12T00:46:48.000Z

2022-03-11T23:51:27.000Z

src/files/forms.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

null

from django import forms class FileForm(forms.Form): file = forms.FileField(widget=forms.FileInput(attrs={'class':'custom-file-input'}))

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4

d41dea1e537492d83d309b42b63ab8fd6ed36be2

1,901

py

Python

FBSSchemaGenerator/build/python/FRBObs.py

sintefneodroid/schema

05749c7b84caf188d555947fb6572bc48a5a9067

[ "Apache-2.0" ]

2

2018-04-28T13:45:45.000Z

2019-01-21T14:39:53.000Z

FBSSchemaGenerator/build/python/FRBObs.py

sintefneodroid/schema

05749c7b84caf188d555947fb6572bc48a5a9067

[ "Apache-2.0" ]

null

FBSSchemaGenerator/build/python/FRBObs.py

sintefneodroid/schema

05749c7b84caf188d555947fb6572bc48a5a9067

[ "Apache-2.0" ]

null

# automatically generated by the FlatBuffers compiler, do not modify # namespace: FBS import flatbuffers class FRBObs(object): __slots__ = ['_tab'] @classmethod def GetRootAsFRBObs(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = FRBObs() x.Init(buf, n + offset) return x # FRBObs def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # FRBObs def Body(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: x = o + self._tab.Pos from .FBody import FBody obj = FBody() obj.Init(self._tab.Bytes, x) return obj return None # FRBObs def VelRange(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: x = o + self._tab.Pos from .FRange import FRange obj = FRange() obj.Init(self._tab.Bytes, x) return obj return None # FRBObs def AngRange(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: x = o + self._tab.Pos from .FRange import FRange obj = FRange() obj.Init(self._tab.Bytes, x) return obj return None def FRBObsStart(builder): builder.StartObject(3) def FRBObsAddBody(builder, body): builder.PrependStructSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(body), 0) def FRBObsAddVelRange(builder, velRange): builder.PrependStructSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(velRange), 0) def FRBObsAddAngRange(builder, angRange): builder.PrependStructSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(angRange), 0) def FRBObsEnd(builder): return builder.EndObject()

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4

d42f5848069ca83dc2ad98e37a890b7375d8611a

244

py

Python

example/advanced/testing_utils.py

rubyszu/tavern

47766d1474f5f2b951ca482c41c055d4c79a7b13

[ "MIT" ]

null

example/advanced/testing_utils.py

rubyszu/tavern

47766d1474f5f2b951ca482c41c055d4c79a7b13

[ "MIT" ]

1

2019-04-01T14:12:57.000Z

example/advanced/testing_utils.py

rubyszu/tavern

47766d1474f5f2b951ca482c41c055d4c79a7b13

[ "MIT" ]

1

2019-01-26T15:40:06.000Z

import datetime def assert_quick_response(response): """Make sure that a request doesn't take too long Args: response (requests.Response): response object """ assert response.elapsed < datetime.timedelta(seconds=0.1)

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1

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4

d44a2cce049ff954a70c942a7895a0433b18a030

298

py

Python

challenge_7/python/wost/find_missing_number.py

rchicoli/2017-challenges

44f0b672e5dea34de1dde131b6df837d462f8e29

[ "Apache-2.0" ]

271

2017-01-01T22:58:36.000Z

2021-11-28T23:05:29.000Z

challenge_7/python/wost/find_missing_number.py

AakashOfficial/2017Challenges

a8f556f1d5b43c099a0394384c8bc2d826f9d287

[ "Apache-2.0" ]

283

2017-01-01T23:26:05.000Z

2018-03-23T00:48:55.000Z

challenge_7/python/wost/find_missing_number.py

AakashOfficial/2017Challenges

a8f556f1d5b43c099a0394384c8bc2d826f9d287

[ "Apache-2.0" ]

311

2017-01-01T22:59:23.000Z

2021-09-23T00:29:12.000Z

def find_missing_number(c): b = max(c) d = min(c + [0]) if min(c) == 1 else min(c) v = set(range(d, b)) - set(c) return list(v)[0] if v != set() else None print(find_missing_number([1, 3, 2, 4])) print(find_missing_number([0, 2, 3, 4, 5])) print(find_missing_number([9, 7, 5, 8]))

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d464c742a6b4e917e7c2e788c29aa6e9d971e782

194

py

Python

skultrafast/tests/test_plot_helpers.py

Tillsten/skultrafast

778eaf1539b6d85f21ac53b011472605673ef7e8

[ "BSD-3-Clause" ]

10

2019-02-17T15:57:51.000Z

2021-11-15T02:00:33.000Z

skultrafast/tests/test_plot_helpers.py

cZahn/skultrafast

23572ba9ea32238f34a8a15390fb572ecd8bc6fa

[ "BSD-3-Clause" ]

1

2019-01-17T11:56:38.000Z

2019-07-11T15:30:58.000Z

skultrafast/tests/test_plot_helpers.py

cZahn/skultrafast

23572ba9ea32238f34a8a15390fb572ecd8bc6fa

[ "BSD-3-Clause" ]

6

2018-11-08T14:11:06.000Z

2021-09-01T14:53:02.000Z

from skultrafast.plot_helpers import nsf def test_nsf(): assert(nsf(0.123) == '0.12') assert(nsf(2.345) == ' 2.3') assert(nsf(6.4324) == ' 6.4') assert (nsf(66.43) == ' 70')

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4

d47462a0b8de44bc0d0fe0be742afdd9cac92caa

1,798

py

Python

rootfs/api/migrations/0002_auto_20151215_0352.py

felixbuenemann/controller

d6023de4710c22791a52bca7ad4f235e8768910a

[ "MIT" ]

35

2016-03-24T21:03:03.000Z

2020-03-16T16:02:04.000Z

rootfs/api/migrations/0002_auto_20151215_0352.py

felixbuenemann/controller

d6023de4710c22791a52bca7ad4f235e8768910a

[ "MIT" ]

829

2016-03-16T17:52:17.000Z

2019-06-24T07:40:20.000Z

rootfs/api/migrations/0002_auto_20151215_0352.py

felixbuenemann/controller

d6023de4710c22791a52bca7ad4f235e8768910a

[ "MIT" ]

59

2016-03-16T18:12:44.000Z

2020-03-16T16:02:41.000Z

# -*- coding: utf-8 -*- from django.db import migrations, models import api.models class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.AlterField( model_name='app', name='id', field=models.SlugField(max_length=24, unique=True, null=True, validators=[api.models.validate_app_id, api.models.validate_reserved_names]), ), migrations.AlterField( model_name='app', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='build', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='config', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='container', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='key', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='push', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), migrations.AlterField( model_name='release', name='uuid', field=models.UUIDField(serialize=False, verbose_name='UUID', primary_key=True), ), ]

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2e10cb6d57d006ac637c3f6bd933e9035292777a

135

py

Python

luminoth/datasets/exceptions.py

czbiohub/luminoth

3b4d57a9b4c3704c64816bbcbd6126a2ac23a069

[ "BSD-3-Clause" ]

3

2020-01-29T12:04:28.000Z

2021-04-05T16:30:57.000Z

luminoth/datasets/exceptions.py

czbiohub/luminoth-uv-imaging

3b4d57a9b4c3704c64816bbcbd6126a2ac23a069

[ "BSD-3-Clause" ]

9

2019-11-20T16:57:45.000Z

2021-03-18T06:57:10.000Z

luminoth/datasets/exceptions.py

czbiohub/luminoth

3b4d57a9b4c3704c64816bbcbd6126a2ac23a069

[ "BSD-3-Clause" ]

null

class InvalidDataDirectory(Exception): """ Error raised when the chosen intput directory for the dataset is not valid. """

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4

2e592967b26192f0998dbbf11fddb04dc2b85f8d

6,115

py

Python

test_mock_dungeon_test_print_methods_of_dungeon.py

nvanbaak/dungeon-adventure-2

8bb3efbcf375baa149df85172b7d715d5a2930a8

[ "MIT" ]

null

test_mock_dungeon_test_print_methods_of_dungeon.py

nvanbaak/dungeon-adventure-2

8bb3efbcf375baa149df85172b7d715d5a2930a8

[ "MIT" ]

null

test_mock_dungeon_test_print_methods_of_dungeon.py

nvanbaak/dungeon-adventure-2

8bb3efbcf375baa149df85172b7d715d5a2930a8

[ "MIT" ]

null

import unittest from room import Room from dungeon import Dungeon class Mock_dungeon: """ creates a mock dungeon of size 4*4, with pre-fixed entrance, exit, impassable room,pillars, healing_potion, pit and vision to test the use_vision_potion and print_dungeon_live_location methods of the Dungeon """ def __init__(self): self.dun = Dungeon(4, 4) # creating a dungeon object self.__create_maze_of_empty_rooms() # resetting the rooms to empty self.__create_mock_dungeon() self.__create_room_links() def __create_maze_of_empty_rooms(self): """the method resets the dungeon rooms to empty """ for r in range(0, 4): for c in range(0, 4): self.dun.dungeon.maze[r, c] = Room() self.dun.dungeon.maze[r, c].location = [r, c] def __create_mock_dungeon(self): self.dun.dungeon.maze[0, 0].is_entrance = True # setting entrance at (0,0) self.dun.dungeon.maze[3, 3].is_exit = True # setting exit at (3,3) # placing the pillars self.dun.dungeon.maze[0, 1].pillar = 'a' self.dun.dungeon.maze[0, 2].pillar = 'e' self.dun.dungeon.maze[0, 3].pillar = 'i' self.dun.dungeon.maze[1, 3].pillar = 'p' # placing impassable rooms self.dun.dungeon.maze[1, 0].is_impassable = True self.dun.dungeon.maze[2, 0].is_impassable = True # placing healing_potion self.dun.dungeon.maze[1, 1].heal = 'y' # placing pit self.dun.dungeon.maze[1, 2].pit = True # placing vision self.dun.dungeon.maze[1, 3].vision = True def __create_room_links(self): """creates pointers between each rooms""" self.dun.dungeon._create_room_links() self.dun._setting_doors() class MyTestCase(unittest.TestCase): def test_print_dungeon_live_location(self): mock_dun = Mock_dungeon() curr = mock_dun.dun.dungeon.maze[0, 0] mock_dun.dun.print_dungeon_live_location(curr) print_str = "\n" <<<<<<< HEAD print_str += "|-----==-----|"+"\t"+"|-----==-----|"+"\t"+"|-----==-----|"+"\t"+"|-----==-----|"+"\t"+"\n" print_str += "| +here+ ::"+"\t"+":: I ::"+"\t"+":: I ::"+"\t"+":: I |"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "| Impassable |"+"\t"+"| U ::"+"\t"+":: X ::"+"\t"+":: I oo |"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "| Impassable |"+"\t"+"| ::"+"\t"+":: ::"+"\t"+":: |"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" print_str += "| ::"+"\t"+":: ::"+"\t"+":: ::"+"\t"+":: Exit |"+"\t"+"\n" print_str += "|-----==-----|"+"\t"+"|-----==-----|"+"\t"+"|-----==-----|"+"\t"+"|-----==-----|"+"\t" ======= print_str += "|------==------|"+"\t"+"|------==------|"+"\t"+"|------==------|"+"\t"+"|------==------|"+"\t"+"\n" print_str += "| +here+ ::"+"\t"+":: I ::"+"\t"+":: I ::"+"\t"+":: I |"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "| Impassable |"+"\t"+"| U ::"+"\t"+":: X ::"+"\t"+":: I oo |"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "| Impassable |"+"\t"+"| ::"+"\t"+":: ::"+"\t"+":: |"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"|------::------|"+"\t"+"\n" print_str += "| ::"+"\t"+":: ::"+"\t"+":: ::"+"\t"+":: Exit |"+"\t"+"\n" print_str += "|------==------|"+"\t"+"|------==------|"+"\t"+"|------==------|"+"\t"+"|------==------|"+"\t" >>>>>>> sg_dungeon_new print_str += "\n+here+ is your current room" self.assertEqual(print_str, mock_dun.dun.print_dungeon_live_location(curr)) # def test_use_vision_potion(self): # mock_dun = Mock_dungeon() # curr = mock_dun.dun.dungeon.maze[0, 0] # print_str = "\n" # print_str += " "+" "+" "+"\n" # print_str += " "+" "+" "+"\n" # print_str += " "+" "+" "+"\n" # print_str += " "+"|-----::-----|"+"\t"+"|-----::-----|"+"\t"+"\n" # print_str += " "+":: +here+ ::"+"\t"+":: I ::"+"\t"+"\n" # print_str += " "+"|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"\n" # print_str += " "+"|-----==-----|"+"\t"+"|-----::-----|"+"\t"+"\n" # print_str += " "+"| Impassable |"+"\t"+"| U ::"+"\t"+"\n" # print_str += " "+"|-----==-----|"+"\t"+"|-----::-----|"+"\t" # self.assertEqual(print_str, mock_dun.dun.use_vision_potion(curr)) if __name__ == '__main__': unittest.main()

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4

2e6274fc3a2845037f84627024beb9c7beacf20d

212

py

Python

todolist_backend/models/embedded_tag.py

RenoirTan/TodoListBackend

149bdf1d883891c87b27f01996816bff251f11d8

[ "MIT" ]

null

todolist_backend/models/embedded_tag.py

RenoirTan/TodoListBackend

149bdf1d883891c87b27f01996816bff251f11d8

[ "MIT" ]

null

todolist_backend/models/embedded_tag.py

RenoirTan/TodoListBackend

149bdf1d883891c87b27f01996816bff251f11d8

[ "MIT" ]

null

from mongoengine.document import EmbeddedDocument from mongoengine.fields import StringField class EmbeddedTag(EmbeddedDocument): """ A tag in a document. """ name = StringField(max_length=120)

21.2

49

0.745283

23

212

6.826087

0.695652

0.191083

0

0.017241

0.179245

212

9

50

23.555556

0.885057

0.09434

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cf307167cdbd39cc833e81c947694efbd86969d2

261

pyde

Python

sketch_15/sketch_15.pyde

Minindosyan/2019-fall-polytech-cs

f022362e4bf6d69d623d3212df9b038f7abf5790

[ "MIT" ]

null

sketch_15/sketch_15.pyde

Minindosyan/2019-fall-polytech-cs

f022362e4bf6d69d623d3212df9b038f7abf5790

[ "MIT" ]

null

sketch_15/sketch_15.pyde

Minindosyan/2019-fall-polytech-cs

f022362e4bf6d69d623d3212df9b038f7abf5790

[ "MIT" ]

null

def setup (): size (500, 500) smooth () background(255) strokeWeight(30) noLoop () def draw (): stroke(20) line(50*1,200,150+50*0,300) line(50*2,200,150+50*1,300) line(50*3,200,150+50*2,300)

17.4

32

0.494253

39

261

3.307692

0.564103

0.139535

0.186047

0

0.337209

0.340996

261

14

33

18.642857

0.412791

0

1

0.181818

true

0

0.181818

0

null

0

1

0

1

0

1

0

null

0

1

0

4

cf33f1b91e35bbbfef15f271522c59c0172a6d10

122

py

Python

serverPythonClient/SRNTT/SRNTT/__init__.py

ikekilinc/dnnSuperBinoculars

b0fc584b1d449961bdbab37cf9d72c0b466f197f

[ "MIT" ]

null

serverPythonClient/SRNTT/SRNTT/__init__.py

ikekilinc/dnnSuperBinoculars

b0fc584b1d449961bdbab37cf9d72c0b466f197f

[ "MIT" ]

null

serverPythonClient/SRNTT/SRNTT/__init__.py

ikekilinc/dnnSuperBinoculars

b0fc584b1d449961bdbab37cf9d72c0b466f197f

[ "MIT" ]

null

import sys from os.path import dirname, realpath, join DIR_PATH = dirname(realpath(__file__)) sys.path.append(DIR_PATH)

17.428571

43

0.786885

19

122

4.736842

0.578947

0.333333

0

0.114754

122

6

44

20.333333

0.833333

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

cf39bdc8deb753cf2894b97744ebb0e27fda9746

175

py

Python

tbshg/utils/subscribe.py

1713175349/tbshg

a3d3cfb0dd9caff4be87943a83a9aed61f3926b7

[ "MIT" ]

null

tbshg/utils/subscribe.py

1713175349/tbshg

a3d3cfb0dd9caff4be87943a83a9aed61f3926b7

[ "MIT" ]

null

tbshg/utils/subscribe.py

1713175349/tbshg

a3d3cfb0dd9caff4be87943a83a9aed61f3926b7

[ "MIT" ]

null

def number_indice_to_string(index)->str: """ Convert a number to a string. """ indicename = ["x", "y", "z"] return "".join([indicename[i] for i in index])

25

50

0.582857

25

175

3.96

0.72

0

0.234286

175

7

50

25

0.738806

0.165714

0

0.023077

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cf5df49b7496875f6f5f40903247e351813e84a2

304

py

Python

hamming-distance.py

parappayo/leetcode-samples

69ea381664d55a6268a507d36fac34015a2dd021

[ "MIT" ]

null

hamming-distance.py

parappayo/leetcode-samples

69ea381664d55a6268a507d36fac34015a2dd021

[ "MIT" ]

null

hamming-distance.py

parappayo/leetcode-samples

69ea381664d55a6268a507d36fac34015a2dd021

[ "MIT" ]

null

import functools def to_32bit_string(x: str) -> int: return "{0:b}".format(x).zfill(32) def hamming_distance(x: int, y: int) -> int: return functools.reduce( lambda total, pair: total + (0 if pair[0] == pair[1] else 1), zip(to_32bit_string(x), to_32bit_string(y)), 0)

23.384615

69

0.615132

49

304

3.673469

0.530612

0.116667

0.216667

0.155556

0

0.059574

0.226974

304

12

70

25.333333

0.706383

0

0.016447

0

1

0.25

false

0

0.125

0.25

0.625

0

null

0

1

0

null

0

1

0

1

0

4

cf6eb65952f032591bad7b1d16ee180ad07abb87

156

py

Python

lightweight/content/__init__.py

mdrachuk/lightspeed

ff4dc0531adfc483a0ec84a98ea308efbae6beda

[ "MIT" ]

4

2019-08-27T19:17:44.000Z

2020-04-24T04:49:30.000Z

lightweight/content/__init__.py

mdrachuk/lightspeed

ff4dc0531adfc483a0ec84a98ea308efbae6beda

[ "MIT" ]

16

2019-08-22T14:44:10.000Z

2020-06-29T15:07:24.000Z

lightweight/content/__init__.py

mdrachuk/lightspeed

ff4dc0531adfc483a0ec84a98ea308efbae6beda

[ "MIT" ]

null

from .content_abc import Content from .copies import copy from .jinja_page import jinja, from_ctx from .md_page import markdown from .sass_scss import sass

26

39

0.826923

26

156

4.769231

0.5

0.16129

0

0.134615

156

5

40

31.2

0.918519

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d852f1a14ba5e7cf3660619e0690fa64cd729152

1,087

py

Python

src/http_client/api_client.py

Andrii-Grytsenko-OWASP/SnykVulnCheck

105bd8423f1d7c67aa71727465f93e000ab674ca

[ "MIT" ]

null

src/http_client/api_client.py

Andrii-Grytsenko-OWASP/SnykVulnCheck

105bd8423f1d7c67aa71727465f93e000ab674ca

[ "MIT" ]

null

src/http_client/api_client.py

Andrii-Grytsenko-OWASP/SnykVulnCheck

105bd8423f1d7c67aa71727465f93e000ab674ca

[ "MIT" ]

null

import requests from src.helpers.enums import ErrorMessages from src.helpers.utils import get_url class ApiClient: def __init__(self, base_url): self.base_url = base_url self.session = requests.Session() def get(self, endpoint: str, *args, **kwargs): return self.session.get(url=get_url(self.base_url, endpoint), *args, **kwargs) def post(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def put(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def patch(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def delete(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def options(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def head(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def trace(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET) def connect(self): raise NotImplemented(ErrorMessages.NOT_IMPLEMENTED_YET)

27.871795

69

0.701932

123

1,087

5.99187

0.284553

0.097693

0.249661

0.390773

0.603799

0.531886

0

0.217111

1,087

38

70

28.605263

0.86604

0

0.307692

0

1

0.384615

false

0

0.115385

0.038462

0.576923

0

null

0

1

0

null

0

1

0

1

0

4

d85725a51f29dc4248b81154d73f826bcaf4b5da

818

py

Python

validator/github.py

javaguirre/node-t-checker

4311367c68d1e826ebaf705dd299abd2466c295c

[ "MIT" ]

null

validator/github.py

javaguirre/node-t-checker

4311367c68d1e826ebaf705dd299abd2466c295c

[ "MIT" ]

null

validator/github.py

javaguirre/node-t-checker

4311367c68d1e826ebaf705dd299abd2466c295c

[ "MIT" ]

null

import json from github import Github from .types import PublishableOutput, NodeInformation class GithubService(PublishableOutput): REPOSITORY = 'alastria/alastria-node' def __init__(self, token: str): self.client = Github(token) self.repo = self.client.get_repo(self.REPOSITORY) def use_pull_request_id(self, pull_request_id: int) -> None: self.pull_request_id = pull_request_id def get_pr_description(self, pull_request_id: int) -> str: data = self.repo.get_pull(self.pull_request_id) return data.body def publish(self, body: str) -> None: data = self.repo.get_pull(self.pull_request_id) data.create_issue_comment(body) def get_pr_body(self) -> str: pr = self.repo.get_pull(self.pull_request_id) return pr.body

28.206897

64

0.698044

113

818

4.778761

0.309735

0.162963

0.192593

0.188889

0.288889

0.214815

0

0.207824

818

28

65

29.214286

0.833333

0

0.105263

0

0.026895

0

1

0.263158

false

0

0.157895

0

0.631579

0

null

0

1

0

null

0

1

0

1

0

4

d860bfa65cfaa6ab64e45cc0385cdaaee346f3c2

739

py

Python

biz/dmrl/market.py

yt7589/iching

6673da38f4c80e7fd297c86fedc5616aee8ac09b

[ "Apache-2.0" ]

32

2020-04-14T08:32:18.000Z

2022-02-09T07:05:08.000Z

biz/dmrl/market.py

yt7589/iching

6673da38f4c80e7fd297c86fedc5616aee8ac09b

[ "Apache-2.0" ]

1

2020-04-08T10:42:15.000Z

2020-04-15T01:38:03.000Z

biz/dmrl/market.py

yt7589/iching

6673da38f4c80e7fd297c86fedc5616aee8ac09b

[ "Apache-2.0" ]

4

2020-08-25T03:56:46.000Z

2021-05-11T05:55:51.000Z

# import numpy as np import pandas as pd import matplotlib.pyplot as plt from torch.utils.data import Dataset import akshare as ak # from biz.dmrl.app_config import AppConfig from biz.dmrl.aks_util import AksUtil class Market(Dataset): def __init__(self, stock_symbol): self.name = 'apps.dmrl.maml.aks_ds.AksDs' self.X, self.y, self.trade_dates = AksUtil.generate_stock_ds(stock_symbol, ds_mode=AksUtil.DM_RL, draw_line=False) def __len__(self): return self.X.shape[0] def __getitem__(self, idx): return self.X[idx], self.y[idx], self.trade_dates[idx] def get_trade_date(self, current_step): ''' 获取当前交易点的日期字符串 ''' return self.trade_dates[current_step - 1]

28.423077

122

0.698241

112

739

4.348214

0.526786

0.030801

0.086242

0

0.00339

0.201624

739

26

123

28.423077

0.822034

0.017591

0

0.038516

0

1

0.235294

false

0

0.411765

0.117647

0.882353

0

null

0

null

0

1

0

1

0

4

d86c5b0e4a350ff5915b62f871a9b35bca4856fd

85

py

Python

lotto/apps.py

b14cknc0d3/lotto_api

6bb6a9c23076428816aa8544b0212304ebcaedf0

[ "MIT" ]

4

2019-03-27T01:52:12.000Z

2019-05-10T17:10:14.000Z

lotto/apps.py

b14cknc0d3/lotto_api

6bb6a9c23076428816aa8544b0212304ebcaedf0

[ "MIT" ]

6

2020-06-05T20:35:49.000Z

2022-02-10T08:14:21.000Z

lotto/apps.py

b14cknc0d3/lotto_api

6bb6a9c23076428816aa8544b0212304ebcaedf0

[ "MIT" ]

null

from django.apps import AppConfig class LottoConfig(AppConfig): name = 'lotto'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d8877050d5b9f28e17351b607523601df6a5ec81

1,885

py

Python

alexa/BBQBerrySmartHome/test_directive_powercontroller.py

declanshanaghy/bbqberry

13dad8c1c887e001f863313ad2aa6adb49c1b608

[ "Apache-2.0" ]

null

alexa/BBQBerrySmartHome/test_directive_powercontroller.py

declanshanaghy/bbqberry

13dad8c1c887e001f863313ad2aa6adb49c1b608

[ "Apache-2.0" ]

null

alexa/BBQBerrySmartHome/test_directive_powercontroller.py

declanshanaghy/bbqberry

13dad8c1c887e001f863313ad2aa6adb49c1b608

[ "Apache-2.0" ]

null

import json import handler request = { "directive": { "endpoint": { "cookie": {}, "endpointId": "endpoint-002", "scope": { "token": "Atza|IwEBIIM1Jk0zzEZNvrskXb9ofwhSfx_zO5JPcWvJ6_WLN93ZIHFK9sGDF2xTgU8UxDLmkaWGjL843ggSixnpbbhokriKbCR1rcA1USxWBOvI5BM3THWg7swp4ySawTWJ0EOLsRhIhnj2-KN4xCxFpMKF4FA97yuHLz0wMdieaI1X5cr3y5ASUP4q1qcSXWFCe753cRQOiJPyDdIxW_PKRbzD5pfsIvZ5IVrfwx5qmdo1PsA7cKqSjHq9Gvc9eg93uklHyuOR7s9XJeXo6r1Wn0UMhbQmI4Vl428ve8jbIKZwD16M_N-yUaN9NTBEw3mK2gak5KjvnHp8ENFvtS5s9Yy_Lvw5qd4zKctTptzBTD-RuQuytwB73RxJ8uA4Eqdspf1In30J8rU7Ty795CS8-dhD8Uzaw6eTHdZeIQMPGVGf7J7Z--PIXKENWHjcP4EwTs2npyEJuMXCNqAbpVylC5clgNKxYTJuaF7Gmdh3SSldxc9bVxyqZ8kX_xKXr4Pkwm5Sbwc", "type": "BearerToken" } }, "header": { "correlationToken": "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", "messageId": "07f0bdff-c783-42f7-86b3-1a3ea92e732f", "name": "TurnOn", "namespace": "Alexa.PowerController", "payloadVersion": "3" }, "payload": {} } } response = handler.lambda_handler(request, None) print(json.dumps(response, indent=4))

67.321429

767

0.796817

92

1,885

16.25

0.923913

0.018729

0

0.131675

0.125729

1,885

27

768

69.814815

0.775485

0

0.041667

0.771883

0.696552

0

1

0

1

0

false

0

0.083333

0

0.083333

0.041667

0

1

null

0

1

null

1

0

4

d8b44612ef0103325f31103eb265522dfe2e3ce7

1,108

py

Python

ctdjango/linkedct/update.py

oktie/linkedct

834f71acce471549102199a141aa768e7ffd63d8

[ "Apache-2.0" ]

9

2015-08-04T01:30:58.000Z

2021-08-23T14:39:20.000Z

ctdjango/linkedct/update.py

oktie/linkedct

834f71acce471549102199a141aa768e7ffd63d8

[ "Apache-2.0" ]

5

2015-10-13T18:23:43.000Z

2015-12-02T18:56:05.000Z

ctdjango/linkedct/update.py

oktie/linkedct

834f71acce471549102199a141aa768e7ffd63d8

[ "Apache-2.0" ]

6

2015-07-22T02:48:06.000Z

2021-12-10T20:22:01.000Z

# # Copyright 2009-2015 Oktie Hassanzadeh # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ This file contains functions that can be used to update between versions of linkedct. """ from django import http import models import rdf #def discover_condition_links(request): # for pubentry in models.Condition.objects.all(): # rdf.discover_condition_links(pubentry) # return http.HttpResponse("Done!") # # #def discover_intervention_links(request): # for author in models.Intervention.objects.all(): # rdf.discover_intervention_links(author) # return http.HttpResponse("Done!")

29.157895

74

0.750903

155

1,108

5.316129

0.593548

0.072816

0.031553

0.038835

0

0.012973

0.165162

1,108

37

75

29.945946

0.877838

0.897112

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

d8edc52157418617e2ade589f0eb03df1d8b9cef

211

py

Python

tests/eskapade_python/notebooks/test_notebooks.py

mbaak/Eskapade

00c8f6ca52eb5b738b4268257e277dab71b804cb

[ "Apache-2.0" ]

16

2016-10-10T08:39:30.000Z

2020-12-22T01:00:56.000Z

tests/eskapade_python/notebooks/test_notebooks.py

mbaak/Eskapade

00c8f6ca52eb5b738b4268257e277dab71b804cb

[ "Apache-2.0" ]

null

tests/eskapade_python/notebooks/test_notebooks.py

mbaak/Eskapade

00c8f6ca52eb5b738b4268257e277dab71b804cb

[ "Apache-2.0" ]

6

2017-06-14T12:01:41.000Z

2018-04-03T17:01:04.000Z

from eskapade_python.bases import NotebookTest class PipelineNotebookTest(NotebookTest): """Unit test notebook""" def test_tutorial_1(self): self.run_notebook('tutorial_1.ipynb', 'Tutorial_1')

26.375

59

0.748815

25

211

6.08

0.68

0.177632

0

0.016667

0.146919

211

7

60

30.142857

0.827778

0.085308

0

0.139037

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2b3e4bc09b30aef585588b2a39cd815436d4762b

85

py

Python

piece/apps.py

amineadmane/AutoCare

f4339cdc2d78c985b77b7b1cc469bae67728086b

[ "MIT" ]

null

piece/apps.py

amineadmane/AutoCare

f4339cdc2d78c985b77b7b1cc469bae67728086b

[ "MIT" ]

null

piece/apps.py

amineadmane/AutoCare

f4339cdc2d78c985b77b7b1cc469bae67728086b

[ "MIT" ]

null

from django.apps import AppConfig class PieceConfig(AppConfig): name = 'piece'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2b41c91428dcdbbe8e42049ecc1bfe4fcc5a005e

22

py

Python

Lib/test/test_compiler/testcorpus/53_list_comp_method.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/test_compiler/testcorpus/53_list_comp_method.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/test_compiler/testcorpus/53_list_comp_method.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

[x for x in s].copy()

11

21

0.545455

6

22

2

0.833333

0

0.227273

22

1

22

0.705882

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

2b470fe9195cd2eeea2dce5223355e951a0cef84

57

py

Python

src/xbot/dm/intervention.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

77

2020-10-27T12:19:01.000Z

2022-03-16T09:13:17.000Z

src/xbot/dm/intervention.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

7

2020-12-09T14:05:07.000Z

2021-04-28T02:37:05.000Z

src/xbot/dm/intervention.py

xinyang178/xbot

dad1fc67062dc6fd21802899fd68f7eb91c96569

[ "MIT" ]

45

2020-09-24T07:28:32.000Z

2022-03-03T17:09:04.000Z

class DMIntervention(object): """DM人工干预""" pass

11.4

29

0.614035

5

57

7

1

0

0.22807

57

4

30

14.25

0.795455

0.105263

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

2b5e2f8c54d7d20708bd1efa48ca13735090f02b

241

py

Python

notification/urls.py

ThemisTheo1995/personalBlog

32c2bdb0a6ac56e1af19160e93d2ae01733ebd07

[ "MIT" ]

null

notification/urls.py

ThemisTheo1995/personalBlog

32c2bdb0a6ac56e1af19160e93d2ae01733ebd07

[ "MIT" ]

null

notification/urls.py

ThemisTheo1995/personalBlog

32c2bdb0a6ac56e1af19160e93d2ae01733ebd07

[ "MIT" ]

null

from .views import nav_notifications_handler from django.urls import path, re_path app_name = 'notification' urlpatterns =[ re_path(r'^ajax/nav_notifications_handler/$', nav_notifications_handler, name = 'nav_notifications_handler'), ]

30.125

113

0.80083

31

241

5.870968

0.516129

0.351648

0.505495

0

0.103734

241

8

114

30.125

0.842593

0

0.289256

0.239669

0

1

0

false

0

0.333333

0

0.333333

0

null

1

0

1

0

null

0

1

0

4

9916ae0e39386e8329b70771e316e44209ca1be0

18,308

py

Python

tests/test_with_sklearn/_test_decorate_module_of_sklearn.py

Twangist/log_calls

7671a781a9e756844ef2e0adee76412d3d465648

[ "MIT" ]

16

2015-02-21T00:00:20.000Z

2021-09-26T05:24:24.000Z

tests/test_with_sklearn/_test_decorate_module_of_sklearn.py

Twangist/log_calls

7671a781a9e756844ef2e0adee76412d3d465648

[ "MIT" ]

3

2018-04-25T04:02:41.000Z

2018-04-25T04:11:54.000Z

tests/test_with_sklearn/_test_decorate_module_of_sklearn.py

Twangist/log_calls

7671a781a9e756844ef2e0adee76412d3d465648

[ "MIT" ]

3

2015-02-21T13:15:20.000Z

2022-01-18T15:02:46.000Z

__author__ = 'brianoneill' """ NOT included in test suite as it messes up the other sklearn tests if/when it runs first, ... and it's a ridiculous test, which passes today but who knows about tomorrow. """ from log_calls import log_calls ############################################################################## # doctests ############################################################################## def test_decorate_module_sklearn(): """ >>> from sklearn.cluster import KMeans, MiniBatchKMeans >>> from sklearn.datasets import make_blobs >>> n_samples = 10 >>> random_state = 170 >>> X, y = make_blobs(n_samples=n_samples, random_state=random_state) >>> log_calls.decorate_module(sklearn.cluster.k_means_, ... log_args=False, log_call_numbers=True) >>> mbk = MiniBatchKMeans(init='k-means++', n_clusters=2, batch_size=45, ... n_init=10, max_no_improvement=7, max_iter=7) MiniBatchKMeans.__init__ [1] <== called by <module> KMeans.__init__ [1] <== called by MiniBatchKMeans.__init__ [1] KMeans.__init__ [1] ==> returning to MiniBatchKMeans.__init__ [1] MiniBatchKMeans.__init__ [1] ==> returning to <module> >>> _ = mbk.fit(X) # doctest: +NORMALIZE_WHITESPACE MiniBatchKMeans.fit [1] <== called by <module> _init_centroids [1] <== called by MiniBatchKMeans.fit [1] _k_init [1] <== called by _init_centroids [1] _k_init [1] ==> returning to _init_centroids [1] _validate_center_shape [1] <== called by _init_centroids [1] _validate_center_shape [1] ==> returning to _init_centroids [1] _init_centroids [1] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [1] <== called by MiniBatchKMeans.fit [1] _labels_inertia [1] <== called by _mini_batch_step [1] _labels_inertia_precompute_dense [1] <== called by _labels_inertia [1] _labels_inertia_precompute_dense [1] ==> returning to _labels_inertia [1] _labels_inertia [1] ==> returning to _mini_batch_step [1] _mini_batch_step [1] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [2] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [2] <== called by _labels_inertia [2] _labels_inertia_precompute_dense [2] ==> returning to _labels_inertia [2] _labels_inertia [2] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [2] <== called by MiniBatchKMeans.fit [1] _k_init [2] <== called by _init_centroids [2] _k_init [2] ==> returning to _init_centroids [2] _validate_center_shape [2] <== called by _init_centroids [2] _validate_center_shape [2] ==> returning to _init_centroids [2] _init_centroids [2] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [2] <== called by MiniBatchKMeans.fit [1] _labels_inertia [3] <== called by _mini_batch_step [2] _labels_inertia_precompute_dense [3] <== called by _labels_inertia [3] _labels_inertia_precompute_dense [3] ==> returning to _labels_inertia [3] _labels_inertia [3] ==> returning to _mini_batch_step [2] _mini_batch_step [2] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [4] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [4] <== called by _labels_inertia [4] _labels_inertia_precompute_dense [4] ==> returning to _labels_inertia [4] _labels_inertia [4] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [3] <== called by MiniBatchKMeans.fit [1] _k_init [3] <== called by _init_centroids [3] _k_init [3] ==> returning to _init_centroids [3] _validate_center_shape [3] <== called by _init_centroids [3] _validate_center_shape [3] ==> returning to _init_centroids [3] _init_centroids [3] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [3] <== called by MiniBatchKMeans.fit [1] _labels_inertia [5] <== called by _mini_batch_step [3] _labels_inertia_precompute_dense [5] <== called by _labels_inertia [5] _labels_inertia_precompute_dense [5] ==> returning to _labels_inertia [5] _labels_inertia [5] ==> returning to _mini_batch_step [3] _mini_batch_step [3] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [6] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [6] <== called by _labels_inertia [6] _labels_inertia_precompute_dense [6] ==> returning to _labels_inertia [6] _labels_inertia [6] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [4] <== called by MiniBatchKMeans.fit [1] _k_init [4] <== called by _init_centroids [4] _k_init [4] ==> returning to _init_centroids [4] _validate_center_shape [4] <== called by _init_centroids [4] _validate_center_shape [4] ==> returning to _init_centroids [4] _init_centroids [4] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [4] <== called by MiniBatchKMeans.fit [1] _labels_inertia [7] <== called by _mini_batch_step [4] _labels_inertia_precompute_dense [7] <== called by _labels_inertia [7] _labels_inertia_precompute_dense [7] ==> returning to _labels_inertia [7] _labels_inertia [7] ==> returning to _mini_batch_step [4] _mini_batch_step [4] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [8] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [8] <== called by _labels_inertia [8] _labels_inertia_precompute_dense [8] ==> returning to _labels_inertia [8] _labels_inertia [8] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [5] <== called by MiniBatchKMeans.fit [1] _k_init [5] <== called by _init_centroids [5] _k_init [5] ==> returning to _init_centroids [5] _validate_center_shape [5] <== called by _init_centroids [5] _validate_center_shape [5] ==> returning to _init_centroids [5] _init_centroids [5] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [5] <== called by MiniBatchKMeans.fit [1] _labels_inertia [9] <== called by _mini_batch_step [5] _labels_inertia_precompute_dense [9] <== called by _labels_inertia [9] _labels_inertia_precompute_dense [9] ==> returning to _labels_inertia [9] _labels_inertia [9] ==> returning to _mini_batch_step [5] _mini_batch_step [5] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [10] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [10] <== called by _labels_inertia [10] _labels_inertia_precompute_dense [10] ==> returning to _labels_inertia [10] _labels_inertia [10] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [6] <== called by MiniBatchKMeans.fit [1] _k_init [6] <== called by _init_centroids [6] _k_init [6] ==> returning to _init_centroids [6] _validate_center_shape [6] <== called by _init_centroids [6] _validate_center_shape [6] ==> returning to _init_centroids [6] _init_centroids [6] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [6] <== called by MiniBatchKMeans.fit [1] _labels_inertia [11] <== called by _mini_batch_step [6] _labels_inertia_precompute_dense [11] <== called by _labels_inertia [11] _labels_inertia_precompute_dense [11] ==> returning to _labels_inertia [11] _labels_inertia [11] ==> returning to _mini_batch_step [6] _mini_batch_step [6] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [12] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [12] <== called by _labels_inertia [12] _labels_inertia_precompute_dense [12] ==> returning to _labels_inertia [12] _labels_inertia [12] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [7] <== called by MiniBatchKMeans.fit [1] _k_init [7] <== called by _init_centroids [7] _k_init [7] ==> returning to _init_centroids [7] _validate_center_shape [7] <== called by _init_centroids [7] _validate_center_shape [7] ==> returning to _init_centroids [7] _init_centroids [7] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [7] <== called by MiniBatchKMeans.fit [1] _labels_inertia [13] <== called by _mini_batch_step [7] _labels_inertia_precompute_dense [13] <== called by _labels_inertia [13] _labels_inertia_precompute_dense [13] ==> returning to _labels_inertia [13] _labels_inertia [13] ==> returning to _mini_batch_step [7] _mini_batch_step [7] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [14] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [14] <== called by _labels_inertia [14] _labels_inertia_precompute_dense [14] ==> returning to _labels_inertia [14] _labels_inertia [14] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [8] <== called by MiniBatchKMeans.fit [1] _k_init [8] <== called by _init_centroids [8] _k_init [8] ==> returning to _init_centroids [8] _validate_center_shape [8] <== called by _init_centroids [8] _validate_center_shape [8] ==> returning to _init_centroids [8] _init_centroids [8] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [8] <== called by MiniBatchKMeans.fit [1] _labels_inertia [15] <== called by _mini_batch_step [8] _labels_inertia_precompute_dense [15] <== called by _labels_inertia [15] _labels_inertia_precompute_dense [15] ==> returning to _labels_inertia [15] _labels_inertia [15] ==> returning to _mini_batch_step [8] _mini_batch_step [8] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [16] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [16] <== called by _labels_inertia [16] _labels_inertia_precompute_dense [16] ==> returning to _labels_inertia [16] _labels_inertia [16] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [9] <== called by MiniBatchKMeans.fit [1] _k_init [9] <== called by _init_centroids [9] _k_init [9] ==> returning to _init_centroids [9] _validate_center_shape [9] <== called by _init_centroids [9] _validate_center_shape [9] ==> returning to _init_centroids [9] _init_centroids [9] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [9] <== called by MiniBatchKMeans.fit [1] _labels_inertia [17] <== called by _mini_batch_step [9] _labels_inertia_precompute_dense [17] <== called by _labels_inertia [17] _labels_inertia_precompute_dense [17] ==> returning to _labels_inertia [17] _labels_inertia [17] ==> returning to _mini_batch_step [9] _mini_batch_step [9] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [18] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [18] <== called by _labels_inertia [18] _labels_inertia_precompute_dense [18] ==> returning to _labels_inertia [18] _labels_inertia [18] ==> returning to MiniBatchKMeans.fit [1] _init_centroids [10] <== called by MiniBatchKMeans.fit [1] _k_init [10] <== called by _init_centroids [10] _k_init [10] ==> returning to _init_centroids [10] _validate_center_shape [10] <== called by _init_centroids [10] _validate_center_shape [10] ==> returning to _init_centroids [10] _init_centroids [10] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [10] <== called by MiniBatchKMeans.fit [1] _labels_inertia [19] <== called by _mini_batch_step [10] _labels_inertia_precompute_dense [19] <== called by _labels_inertia [19] _labels_inertia_precompute_dense [19] ==> returning to _labels_inertia [19] _labels_inertia [19] ==> returning to _mini_batch_step [10] _mini_batch_step [10] ==> returning to MiniBatchKMeans.fit [1] _labels_inertia [20] <== called by MiniBatchKMeans.fit [1] _labels_inertia_precompute_dense [20] <== called by _labels_inertia [20] _labels_inertia_precompute_dense [20] ==> returning to _labels_inertia [20] _labels_inertia [20] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [11] <== called by MiniBatchKMeans.fit [1] _labels_inertia [21] <== called by _mini_batch_step [11] _labels_inertia_precompute_dense [21] <== called by _labels_inertia [21] _labels_inertia_precompute_dense [21] ==> returning to _labels_inertia [21] _labels_inertia [21] ==> returning to _mini_batch_step [11] _mini_batch_step [11] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [1] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [1] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [12] <== called by MiniBatchKMeans.fit [1] _labels_inertia [22] <== called by _mini_batch_step [12] _labels_inertia_precompute_dense [22] <== called by _labels_inertia [22] _labels_inertia_precompute_dense [22] ==> returning to _labels_inertia [22] _labels_inertia [22] ==> returning to _mini_batch_step [12] _mini_batch_step [12] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [2] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [2] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [13] <== called by MiniBatchKMeans.fit [1] _labels_inertia [23] <== called by _mini_batch_step [13] _labels_inertia_precompute_dense [23] <== called by _labels_inertia [23] _labels_inertia_precompute_dense [23] ==> returning to _labels_inertia [23] _labels_inertia [23] ==> returning to _mini_batch_step [13] _mini_batch_step [13] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [3] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [3] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [14] <== called by MiniBatchKMeans.fit [1] _labels_inertia [24] <== called by _mini_batch_step [14] _labels_inertia_precompute_dense [24] <== called by _labels_inertia [24] _labels_inertia_precompute_dense [24] ==> returning to _labels_inertia [24] _labels_inertia [24] ==> returning to _mini_batch_step [14] _mini_batch_step [14] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [4] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [4] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [15] <== called by MiniBatchKMeans.fit [1] _labels_inertia [25] <== called by _mini_batch_step [15] _labels_inertia_precompute_dense [25] <== called by _labels_inertia [25] _labels_inertia_precompute_dense [25] ==> returning to _labels_inertia [25] _labels_inertia [25] ==> returning to _mini_batch_step [15] _mini_batch_step [15] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [5] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [5] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [16] <== called by MiniBatchKMeans.fit [1] _labels_inertia [26] <== called by _mini_batch_step [16] _labels_inertia_precompute_dense [26] <== called by _labels_inertia [26] _labels_inertia_precompute_dense [26] ==> returning to _labels_inertia [26] _labels_inertia [26] ==> returning to _mini_batch_step [16] _mini_batch_step [16] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [6] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [6] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_step [17] <== called by MiniBatchKMeans.fit [1] _labels_inertia [27] <== called by _mini_batch_step [17] _labels_inertia_precompute_dense [27] <== called by _labels_inertia [27] _labels_inertia_precompute_dense [27] ==> returning to _labels_inertia [27] _labels_inertia [27] ==> returning to _mini_batch_step [17] _mini_batch_step [17] ==> returning to MiniBatchKMeans.fit [1] _mini_batch_convergence [7] <== called by MiniBatchKMeans.fit [1] _mini_batch_convergence [7] ==> returning to MiniBatchKMeans.fit [1] MiniBatchKMeans._labels_inertia_minibatch [1] <== called by MiniBatchKMeans.fit [1] _labels_inertia [28] <== called by <listcomp> <== MiniBatchKMeans._labels_inertia_minibatch [1] _labels_inertia_precompute_dense [28] <== called by _labels_inertia [28] _labels_inertia_precompute_dense [28] ==> returning to _labels_inertia [28] _labels_inertia [28] ==> returning to <listcomp> ==> MiniBatchKMeans._labels_inertia_minibatch [1] MiniBatchKMeans._labels_inertia_minibatch [1] ==> returning to MiniBatchKMeans.fit [1] MiniBatchKMeans.fit [1] ==> returning to <module> """ pass ############################################################################## import doctest # For unittest integration def load_tests(loader, tests, ignore): try: import sklearn except ImportError: pass else: tests.addTests(doctest.DocTestSuite()) return tests if __name__ == '__main__': doctest.testmod()

65.620072

110

0.648787

2,188

18,308

4.975777

0.0617

0.205383

0.160558

0.144025

0.816938

0.512722

0.417654

0.220263

0.099017

0

0.044454

0.238202

18,308

278

111

65.856115

0.736144

0.904523

0

0.133333

0

0.051351

0

1

0.133333

false

0.133333

0.266667

0

0.466667

0

null

1

0

1

0

1

0

null

0

1

0

4

992b67964d115450973d0beb8f830f9c4df3d9ec

375

py

Python

mlflow/tracking/default_experiment/databricks_notebook_experiment_provider.py

Sohamkayal4103/mlflow

4e444efdf73c710644ee039b44fa36a31d716f69

[ "Apache-2.0" ]

null

mlflow/tracking/default_experiment/databricks_notebook_experiment_provider.py

Sohamkayal4103/mlflow

4e444efdf73c710644ee039b44fa36a31d716f69

[ "Apache-2.0" ]

null

mlflow/tracking/default_experiment/databricks_notebook_experiment_provider.py

Sohamkayal4103/mlflow

4e444efdf73c710644ee039b44fa36a31d716f69

[ "Apache-2.0" ]

2

2019-05-11T08:13:38.000Z

2019-05-14T13:33:54.000Z

from mlflow.tracking.default_experiment.abstract_context import DefaultExperimentProvider from mlflow.utils import databricks_utils class DatabricksNotebookExperimentProvider(DefaultExperimentProvider): def in_context(self): return databricks_utils.is_in_databricks_notebook() def get_experiment_id(self): return databricks_utils.get_notebook_id()

34.090909

89

0.829333

40

375

7.45

0.525

0.151007

0.134228

0.167785

0

0.12

375

10

90

37.5

0.90303

0

1

0.285714

false

0

0.285714

1

0

null

0

1

0

null

0

1

0

1

0

4

992e5de99f3af964cf38d00958f241e6012efce3

227

py

Python

src/gsf/dynamic_system/future_event_list/__init__.py

RolandoAndrade/general-simulation-framework

2fe2a981d365a7f482f6a7d4797a5f711b2dd502

[ "MIT" ]

1

2021-06-02T12:37:56.000Z

src/gsf/dynamic_system/future_event_list/__init__.py

RolandoAndrade/general-simulation-framework

2fe2a981d365a7f482f6a7d4797a5f711b2dd502

[ "MIT" ]

null

src/gsf/dynamic_system/future_event_list/__init__.py

RolandoAndrade/general-simulation-framework

2fe2a981d365a7f482f6a7d4797a5f711b2dd502

[ "MIT" ]

null

"""Future Event List Module ============================= This module includes the functions and classes to work with a FEL simulation paradigm. """ from .scheduler import Scheduler from .scheduled_model import ScheduledModel

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9958bca78e3ef97daf4970c0e0e1608cb4d253f6

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py

Python

scripts/quest/q32001s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

9

2021-04-26T11:59:29.000Z

2021-12-20T13:15:27.000Z

scripts/quest/q32001s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/quest/q32001s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

6

2021-07-14T06:32:05.000Z

2022-02-06T02:32:56.000Z

# Fury Incarnate medal = 1142554 if sm.canHold(medal): sm.chatScript("You obtained the <Fury Incarnate> medal.") sm.startQuest(parentID) sm.completeQuest(parentID)

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null

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996c858beab7725014af5d24195f99fb8c8bcde7

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py

Python

cloud_scanner_generic/config/elastic_search_config.py

Microsoft/cloud-scanner-generic

ef3cc01d64fd1857245049ce4ec23f1856eee46f

[ "MIT" ]

4

2019-06-22T14:33:43.000Z

2021-04-20T16:18:28.000Z

cloud_scanner_generic/config/elastic_search_config.py

microsoft/cloud-scanner-generic

ef3cc01d64fd1857245049ce4ec23f1856eee46f

[ "MIT" ]

null

cloud_scanner_generic/config/elastic_search_config.py

microsoft/cloud-scanner-generic

ef3cc01d64fd1857245049ce4ec23f1856eee46f

[ "MIT" ]

5

2019-11-03T22:54:49.000Z

2020-08-05T14:39:06.000Z

from cloud_scanner.config import Config class ElasticSearchConfig(Config): @property def access_url(self): return self.get_property("ELASTIC_SEARCH_URL") @property def access_key(self): return self.get_property("ELASTIC_SEARCH_ACCESS_KEY")

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99763b9d5fcd97833870080308d88b6b60449b36

200

py

Python

schedule/filters.py

audreyakwenye/gardner_schedule

3705a0214273f29379117f2ed238d9977b4fecc1

[ "MIT" ]

null

schedule/filters.py

audreyakwenye/gardner_schedule

3705a0214273f29379117f2ed238d9977b4fecc1

[ "MIT" ]

null

schedule/filters.py

audreyakwenye/gardner_schedule

3705a0214273f29379117f2ed238d9977b4fecc1

[ "MIT" ]

null

import django_filters from .models import * class ClassFilter(django_filters.FilterSet): class Meta: model = class_schedule fields = ['classgroup', 'teacher', 'subject', 'period']

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99ace84cfd6d8114ae758299dc8e4035d54d8953

44

py

Python

pagarme/resources/routes/balance_routes.py

rbbonfim/pagarme-python

a7079fbdd01bd855ea09f89847d6374b499be76b

[ "MIT" ]

79

2015-08-25T14:43:34.000Z

2021-12-01T18:16:54.000Z

pagarme/resources/routes/balance_routes.py

rbbonfim/pagarme-python

a7079fbdd01bd855ea09f89847d6374b499be76b

[ "MIT" ]

103

2015-09-15T15:24:14.000Z

2021-12-20T22:52:02.000Z

pagarme/resources/routes/balance_routes.py

rbbonfim/pagarme-python

a7079fbdd01bd855ea09f89847d6374b499be76b

[ "MIT" ]

53

2015-09-11T12:06:26.000Z

2022-02-23T02:59:57.000Z

BASE_URL = 'https://api.pagar.me/1/balance'

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1

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null

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511618a129e2e0c398a829dbbec6775064061aa7

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py

Python

sysmanager/modules/comms/dev/dev.py

yurkis/whitebox

b40e377ed9fc29d5f0c9c96677c190b520c9d188

[ "MIT" ]

null

sysmanager/modules/comms/dev/dev.py

yurkis/whitebox

b40e377ed9fc29d5f0c9c96677c190b520c9d188

[ "MIT" ]

null

sysmanager/modules/comms/dev/dev.py

yurkis/whitebox

b40e377ed9fc29d5f0c9c96677c190b520c9d188

[ "MIT" ]

null

import subprocess from ...result import * ################################################################################ def do_dev_update(args): #print("\n\nUpdating sysmanager...") ##out_sysman=subprocess.getoutput("svn up /usr/local/bin/pwb") #print (out_sysman) #print ("\n\nUpdating html...") ##out_html=subprocess.getoutput("svn up /usr/local/www/pwb/html") out_html=subprocess.getoutput("cd /root/whitebox && git pull") return (Result(out_html))

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5ab2b9e82162fd122e76bf4bb403dbb5f52ffd7b

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py

Python

delira/training/callbacks/__init__.py

muizzk/delira

eb7fdfedd6bbeffa20ffad1ef6c918a4cd9abfbf

[ "BSD-2-Clause" ]

1

2019-10-03T21:00:20.000Z

delira/training/callbacks/__init__.py

muizzk/delira

eb7fdfedd6bbeffa20ffad1ef6c918a4cd9abfbf

[ "BSD-2-Clause" ]

null

delira/training/callbacks/__init__.py

muizzk/delira

eb7fdfedd6bbeffa20ffad1ef6c918a4cd9abfbf

[ "BSD-2-Clause" ]

null

from delira import get_backends from delira.training.callbacks.logging_callback import DefaultLoggingCallback from delira.training.callbacks.abstract_callback import AbstractCallback from delira.training.callbacks.early_stopping import EarlyStopping if "TORCH" in get_backends(): from delira.training.callbacks.pytorch_schedulers import \ DefaultPyTorchSchedulerCallback from delira.training.callbacks.pytorch_schedulers import \ CosineAnnealingLRCallback as CosineAnnealingLRCallbackPyTorch from delira.training.callbacks.pytorch_schedulers import \ ExponentialLRCallback as ExponentialLRCallbackPyTorch from delira.training.callbacks.pytorch_schedulers import \ LambdaLRCallback as LambdaLRCallbackPyTorch from delira.training.callbacks.pytorch_schedulers import \ MultiStepLRCallback as MultiStepLRCallbackPyTorch from delira.training.callbacks.pytorch_schedulers import \ ReduceLROnPlateauCallback as ReduceLROnPlateauCallbackPyTorch from delira.training.callbacks.pytorch_schedulers import StepLRCallback \ as StepLRCallbackPyTorch

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0

1

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1

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4

5ad003075fe821a6aed3fac82b537617a3d1631c

684

py

Python

number/maskingpersonalinformation.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

number/maskingpersonalinformation.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

number/maskingpersonalinformation.py

mengyangbai/leetcode

e7a6906ecc5bce665dec5d0f057b302a64d50f40

[ "MIT" ]

null

class Solution(object): def convert_phone(self, phone): phone = phone.strip().replace(' ', '').replace('(', '').replace(')', '').replace('-', '').replace('+', '') if len(phone) == 10: return "***-***-" + phone[-4:] else: return "+" + '*' * (len(phone) - 10) + "-***-***-" + phone[-4:] def convert_email(self, email): email = email.lower() first_name, host = email.split('@') return first_name[0] + '*****' + first_name[-1] + '@' + host def maskPII(self, S): """ :type S: str :rtype: str """ return self.convert_email(S) if '@' in S else self.convert_phone(S)

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5af8bca5e81da5df4903db8620f08b2212fe1eed

166

py

Python

Python/8 kyu/Sort and Star/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

1

2020-01-09T21:47:56.000Z

Python/8 kyu/Sort and Star/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

1

2020-01-20T12:39:03.000Z

Python/8 kyu/Sort and Star/solution.py

Hsins/CodeWars

7e7b912fdd0647c0af381d8b566408e383ea5df8

[ "MIT" ]

null

# [8 kyu] Double Char # # Author: Hsins # Date: 2019/11/28 def two_sort(array): word = sorted(array)[0] return "".join(c + '***' for c in word)[0:-3]

16.6

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null

0

1

0

1

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4

85032bf99824c52069db91942c2c9f73c59eae47

49

py

Python

motifx/__init__.py

EthanVn/MotifX

4258ac72823bdc335f4f3d01fd03c8dc495e14ec

[ "MIT" ]

1

2021-05-04T17:43:47.000Z

motifx/__init__.py

EthanVn/MotifX

4258ac72823bdc335f4f3d01fd03c8dc495e14ec

[ "MIT" ]

null

motifx/__init__.py

EthanVn/MotifX

4258ac72823bdc335f4f3d01fd03c8dc495e14ec

[ "MIT" ]

null

from .motifx import MotifX __all__ = ["MotifX"]

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null

0

1

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4

850e86a611854cc5b40ce920ce95e0ea614fc00c

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py

Python

src/som/primitives/bc/integer_primitives.py

SOM-st/PySOM

65ef72f44252439b724a7429408dac7f8d1b1d98

[ "MIT" ]

22

2015-10-29T05:11:06.000Z

2022-03-01T11:18:45.000Z

src/som/primitives/bc/integer_primitives.py

smarr/PySOM

65ef72f44252439b724a7429408dac7f8d1b1d98

[ "MIT" ]

16

2021-03-07T22:09:33.000Z

2021-08-24T12:36:15.000Z

src/som/primitives/bc/integer_primitives.py

SOM-st/PySOM

65ef72f44252439b724a7429408dac7f8d1b1d98

[ "MIT" ]

5

2015-01-02T03:51:29.000Z

2020-10-02T07:05:46.000Z

from rlib import jit from som.primitives.integer_primitives import IntegerPrimitivesBase as _Base from som.vmobjects.double import Double from som.vmobjects.integer import Integer from som.vmobjects.primitive import Primitive, TernaryPrimitive def get_printable_location_up(block_method): from som.vmobjects.method_bc import BcAbstractMethod assert isinstance(block_method, BcAbstractMethod) return "to:do: " + block_method.merge_point_string() jitdriver_int = jit.JitDriver( name="to:do: with int", greens=["block_method"], reds="auto", # virtualizables=['frame'], is_recursive=True, get_printable_location=get_printable_location_up, ) jitdriver_double = jit.JitDriver( name="to:do: with double", greens=["block_method"], reds="auto", # virtualizables=['frame'], is_recursive=True, get_printable_location=get_printable_location_up, ) def get_printable_location_down(block_method): from som.vmobjects.method_bc import BcAbstractMethod assert isinstance(block_method, BcAbstractMethod) return "downToto:do: " + block_method.merge_point_string() jitdriver_int_down = jit.JitDriver( name="downTo:do: with int", greens=["block_method"], reds="auto", # virtualizables=['frame'], is_recursive=True, get_printable_location=get_printable_location_down, ) jitdriver_double_down = jit.JitDriver( name="downTo:do: with double", greens=["block_method"], reds="auto", # virtualizables=['frame'], is_recursive=True, get_printable_location=get_printable_location_down, ) def _to_do_int(i, by_increment, top, block, block_method): assert isinstance(i, int) assert isinstance(top, int) while i <= top: jitdriver_int.jit_merge_point(block_method=block_method) block_method.invoke_2(block, Integer(i)) i += by_increment def _to_do_double(i, by_increment, top, block, block_method): assert isinstance(i, int) assert isinstance(top, float) while i <= top: jitdriver_double.jit_merge_point(block_method=block_method) block_method.invoke_2(block, Integer(i)) i += by_increment def _to_do(rcvr, limit, block): block_method = block.get_method() i = rcvr.get_embedded_integer() if isinstance(limit, Double): _to_do_double(i, 1, limit.get_embedded_double(), block, block_method) else: _to_do_int(i, 1, limit.get_embedded_integer(), block, block_method) return rcvr def _to_by_do(_ivkbl, stack, stack_ptr): block = stack[stack_ptr] stack[stack_ptr] = None stack_ptr -= 1 by_increment = stack[stack_ptr] stack[stack_ptr] = None stack_ptr -= 1 limit = stack[stack_ptr] stack[stack_ptr] = None stack_ptr -= 1 block_method = block.get_method() self = stack[stack_ptr] i = self.get_embedded_integer() if isinstance(limit, Double): _to_do_double( i, by_increment.get_embedded_integer(), limit.get_embedded_double(), block, block_method, ) else: _to_do_int( i, by_increment.get_embedded_integer(), limit.get_embedded_integer(), block, block_method, ) return stack_ptr def _down_to_do_int(i, by_increment, bottom, block, block_method): assert isinstance(i, int) assert isinstance(bottom, int) while i >= bottom: jitdriver_int_down.jit_merge_point(block_method=block_method) block_method.invoke_2(block, Integer(i)) i -= by_increment def _down_to_do_double(i, by_increment, bottom, block, block_method): assert isinstance(i, int) assert isinstance(bottom, float) while i >= bottom: jitdriver_double_down.jit_merge_point(block_method=block_method) block_method.invoke_2(block, Integer(i)) i -= by_increment def _down_to_do(rcvr, limit, block): block_method = block.get_method() i = rcvr.get_embedded_integer() if isinstance(limit, Double): _down_to_do_double(i, 1, limit.get_embedded_double(), block, block_method) else: _down_to_do_int(i, 1, limit.get_embedded_integer(), block, block_method) return rcvr class IntegerPrimitives(_Base): def install_primitives(self): _Base.install_primitives(self) self._install_instance_primitive(TernaryPrimitive("to:do:", _to_do)) self._install_instance_primitive(TernaryPrimitive("downTo:do:", _down_to_do)) self._install_instance_primitive(Primitive("to:by:do:", _to_by_do))

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1

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1

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null

0

4

85192445943acfd7677663d7caa86a89df5c4394

118

py

Python

braindecode/visualization/__init__.py

dcwil/braindecode

e21d380bf3062306843af1eb45179bffe2c135c4

[ "BSD-3-Clause" ]

null

braindecode/visualization/__init__.py

dcwil/braindecode

e21d380bf3062306843af1eb45179bffe2c135c4

[ "BSD-3-Clause" ]

null

braindecode/visualization/__init__.py

dcwil/braindecode

e21d380bf3062306843af1eb45179bffe2c135c4

[ "BSD-3-Clause" ]

null

""" Functions for visualisations, especially of the ConvNets. """ from .gradients import compute_amplitude_gradients

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true

0

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0

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null

0

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1

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4

851af753634927083653ec4e2eff1e6c29f5cb08

361

py

Python

src/compas/interop/shapeop/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

src/compas/interop/shapeop/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

src/compas/interop/shapeop/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

from __future__ import print_function __all__ = [] try: from compas.interop.shapeop._shapeop import * from compas.interop.shapeop._shapeop import __all__ except ImportError: try: from compas.interop.shapeop._shapeop_windows import * from compas.interop.shapeop._shapeop_windows import __all__ except ImportError: raise

25.785714

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852399b6290e742ecf3486c56af1644d5ed6f734

102

py

Python

notebooks/_solutions/case-argo-sea-floats4.py

jorisvandenbossche/DS-python-geospatial

893a12edc5c203a75815f6dcb5f1e18c577c8cd5

[ "BSD-3-Clause" ]

58

2020-10-09T10:10:59.000Z

2022-03-07T14:58:07.000Z

notebooks/_solutions/13-xarray4.py

amitkb3/DS-python-geospatial

5f156ebff67e06d59b2a7ef446d1fed746ce0650

[ "BSD-3-Clause" ]

24

2020-09-30T19:57:14.000Z

2021-10-05T07:21:09.000Z

notebooks/_solutions/13-xarray4.py

amitkb3/DS-python-geospatial

5f156ebff67e06d59b2a7ef446d1fed746ce0650

[ "BSD-3-Clause" ]

19

2020-10-05T09:32:18.000Z

2022-03-20T00:09:14.000Z

argo["buoyancy"].plot(yincrease=False) # xarray decides the plot type when no specific method is used

102

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0

4

51cf265da2fcc9cedede6c289552f671449e4e13

65

py

Python

helloworld.py

zsdyysnh/Hello-Git

dcd85a04b0f94db12fb941d8d55ab7896022974d

[ "Apache-2.0" ]

null

helloworld.py

zsdyysnh/Hello-Git

dcd85a04b0f94db12fb941d8d55ab7896022974d

[ "Apache-2.0" ]

null

helloworld.py

zsdyysnh/Hello-Git

dcd85a04b0f94db12fb941d8d55ab7896022974d

[ "Apache-2.0" ]

null

print("nihao,shijie") print("lalalalal") print("ninniiiinnij")

10.833333

21

0.723077

7

65

6.714286

0.714286

0

0.076923

65

5

22

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0

0.507692

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null

0

1

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null

0

1

0

1

0

4

a402fe87e7c9c68f3920204ca775ac399050778f

213

py

Python

mtp_api/apps/account/app.py

ministryofjustice/mtp-api

b1c34c29e4aa9f48598cb060abe1368ae7686e0b

[ "MIT" ]

5

2016-01-05T12:21:35.000Z

2020-10-28T17:06:02.000Z

mtp_api/apps/account/app.py

ministryofjustice/mtp-api

b1c34c29e4aa9f48598cb060abe1368ae7686e0b

[ "MIT" ]

209

2015-06-12T09:39:41.000Z

2022-03-21T16:01:19.000Z

mtp_api/apps/account/app.py

ministryofjustice/mtp-api

b1c34c29e4aa9f48598cb060abe1368ae7686e0b

[ "MIT" ]

1

2021-04-11T06:19:23.000Z

from django.apps import AppConfig as DjangoAppConfig from django.utils.translation import gettext_lazy as _ class AppConfig(DjangoAppConfig): name = 'account' verbose_name = _('Bank account management')

26.625

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0.784038

25

213

6.52

0.68

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7

55

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null

0

1

0

1

0

4

cfafe76771688712c04b5c86eecb72ecef7342ed

61

py

Python

apps/photoalbum/__init__.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

32

2017-02-22T13:38:38.000Z

2022-03-31T23:29:54.000Z

apps/photoalbum/__init__.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

694

2017-02-15T23:09:52.000Z

2022-03-31T23:16:07.000Z

apps/photoalbum/__init__.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

35

2017-09-02T21:13:09.000Z

2022-02-21T11:30:30.000Z

default_app_config = "apps.photoalbum.apps.PhotoalbumConfig"

30.5

60

0.852459

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61

7.142857

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1

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0

1

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null

0

1

0

1

null

0

4

32021d7c94dab98d0338825795c135f57909e56d

1,391

py

Python

particle_environments/mager/scenarios/ergo_transport.py

rallen10/ergo_particle_gym

5bb8073d880ab1da60ee333d892ea8a4720f3396

[ "FSFULLR", "FSFUL" ]

null

particle_environments/mager/scenarios/ergo_transport.py

rallen10/ergo_particle_gym

5bb8073d880ab1da60ee333d892ea8a4720f3396

[ "FSFULLR", "FSFUL" ]

null

particle_environments/mager/scenarios/ergo_transport.py

rallen10/ergo_particle_gym

5bb8073d880ab1da60ee333d892ea8a4720f3396

[ "FSFULLR", "FSFUL" ]

3

2019-12-08T08:36:23.000Z

2021-11-07T17:35:53.000Z

"""Module for the Risk-Exploiting Cargo Transport Scenario - Network of agents are to be used to transport packages from a known origin terminal to a known destination terminal - Cargo packages appear at origin terminal periodically and/or stochastically. - Any agent my pick up package by visiting origin terminal when package has appeared. That same agent must then deliver it to the destination, no hand offs are possible - Rewards are recieved per package delivered to destination terminal - Hazardous landmarks and/or adversarial agents are present in the environment that can cause good agents to fail which comes with an associated cost. - Failure of the package carrying agent (i.e. loss of package) is associated with very large cost, significantly greater than normal agent failure - Landmarks can also have a risk associated with them, i.e. probability of causing a nearby agent to fail. - Agents actions are their movements. Collection of package happens automatically if agent visits origin terminal when package is present - General case: - Location of landmarks and adversaries are not globally known and can only be locally sensed locations and unknown nature (i.e. risk, - Package carry has reduced maneuvering capabilities and speed """ import numpy as np from multiagent.core import World, Agent, Landmark from multiagent.scenario import BaseScenario

49.678571

97

0.800863

209

1,391

5.330144

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0.050269

0.032316

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0

0.168224

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27

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0

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true

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null

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1

0

null

0

1

0

1

0

1

0

4

32073191bc387f65f0003a3ccd8df8a5521368ea

180

py

Python

detectuser/email.py

yangjiada/detect_user

ee747abfda55818a8830d63eeafdd5491632a885

[ "Apache-2.0" ]

null

detectuser/email.py

yangjiada/detect_user

ee747abfda55818a8830d63eeafdd5491632a885

[ "Apache-2.0" ]

null

detectuser/email.py

yangjiada/detect_user

ee747abfda55818a8830d63eeafdd5491632a885

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2016-12-22 10:42:23 # @Author : Jan Yang # @Software : Sublime Text class Email: def __init__(self): pass

16.363636

32

0.577778

26

180

3.846154

1

0

0.111111

0.25

180

10

33

18

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0

1

0.333333

false

0.333333

0

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null

0

null

0

1

0

1

0

1

0

4

321b49ade78a7c64a89bf2cacb65237cbe1df084

118

py

Python

dask_ml/metrics/__init__.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

1

2020-12-01T13:20:05.000Z

dask_ml/metrics/__init__.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

null

dask_ml/metrics/__init__.py

lesteve/dask-ml

0aca19c545be5c27bedcfbab5554b4ba39a6d754

[ "BSD-3-Clause" ]

null

from .pairwise import ( # noqa pairwise_distances, pairwise_distances_argmin_min, euclidean_distances, )

19.666667

34

0.745763

12

118

6.916667

0.666667

0.409639

0

0.194915

118

5

35

23.6

0.873684

0.033898

0

1

0

true

0

0.2

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0.2

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null

1

0

1

0

null

0

1

0

4

5c6053714f4860e7e281ee4b647c04fb5dab3306

59

py

Python

release_monitor/__init__.py

msrb/fabric8-analytics-release-monitor

b7f0d15ba438164056aaad7bcb11f1edd07da11c

[ "Apache-2.0" ]

null

release_monitor/__init__.py

msrb/fabric8-analytics-release-monitor

b7f0d15ba438164056aaad7bcb11f1edd07da11c

[ "Apache-2.0" ]

71

2018-10-09T06:30:58.000Z

2020-07-27T06:37:17.000Z

release_monitor/__init__.py

msrb/fabric8-analytics-release-monitor

b7f0d15ba438164056aaad7bcb11f1edd07da11c

[ "Apache-2.0" ]

11

2018-09-25T12:47:44.000Z

2020-07-27T06:21:31.000Z

"""Module for the release monitor of upstream releases."""

29.5

58

0.745763

8

59

5.5

1

0

0.135593

59

1

59

0.862745

0.881356

0

null

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null

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null

0

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null

true

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0

1

0

1

0

null

0

1

0

4

5c6201fd0d13b8a22c72b4135578e92d1e96e402

29

py

Python

services/league_rankings/__init__.py

GodOfOwls/Lightshield

043b18a50615ce802be5525cf8fe7bc5690d7cf6

[ "Apache-2.0" ]

10

2020-06-26T02:29:16.000Z

2022-02-11T13:58:01.000Z

services/league_rankings/__init__.py

GodOfOwls/Lightshield

043b18a50615ce802be5525cf8fe7bc5690d7cf6

[ "Apache-2.0" ]

23

2020-06-24T16:32:28.000Z

2022-03-02T13:37:19.000Z

services/league_rankings/__init__.py

GodOfOwls/Lightshield

043b18a50615ce802be5525cf8fe7bc5690d7cf6

[ "Apache-2.0" ]

4

2020-07-16T19:35:54.000Z

2021-04-10T01:51:33.000Z

"""League Updater Module."""

14.5

28

0.655172

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6.333333

1

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29

1

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0.758621

0

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null

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1

0

null

0

1

0

4

5c75864e59c4488820dbb2d3918e34e49e5fcc20

6,500

py

Python

advent2017_day5.py

coandco/advent2017

1613b0bc4a5c857cd89c739436a7318203eebee5

[ "MIT" ]

null

advent2017_day5.py

coandco/advent2017

1613b0bc4a5c857cd89c739436a7318203eebee5

[ "MIT" ]

null

advent2017_day5.py

coandco/advent2017

1613b0bc4a5c857cd89c739436a7318203eebee5

[ "MIT" ]

null

INPUT= """2 0 0 -2 0 1 -2 -1 -6 2 -1 2 0 2 -13 0 -2 -15 -15 -3 -10 -11 1 -5 -20 -21 -14 -21 -4 -9 -29 2 -10 -5 -33 -33 -9 0 2 -24 0 -26 -24 -38 -28 -42 -14 -42 2 -2 -48 -48 -17 -19 -26 -39 0 -15 -42 -3 -19 -19 -7 -1 -11 -5 -17 -46 -15 -43 -22 -31 -60 -59 -71 -58 -39 -66 -74 -11 -18 -68 1 -70 -79 -18 -56 -17 0 -52 -79 -86 -90 -74 -89 -20 -30 -65 -2 -47 -42 -33 -35 -61 -4 -101 -38 -8 -26 -37 -56 -30 -36 -55 -87 -85 -58 -22 -9 -81 -119 -94 -81 -83 -24 -105 -21 -69 -11 -7 -114 -60 -74 -19 -126 -66 -106 -5 -112 0 -58 -18 -122 -50 -72 -83 -15 -93 -60 -17 -37 -55 -119 -118 -12 -101 -65 -35 -122 -149 -97 -140 -62 -101 -85 -23 -43 -141 -158 -37 -103 -142 1 -112 -55 -139 -90 -5 -75 -73 -171 -4 -39 -4 -135 -126 -40 -74 -161 -125 -174 -90 -129 -126 -166 -106 -16 -51 -54 -135 -37 -21 -103 -73 -64 -59 -88 -153 -196 -123 -98 -36 -193 -164 -111 -81 -49 -87 -91 -191 -219 -103 -217 -107 -87 -82 -23 -157 -56 -20 -149 -133 -53 -37 -199 -85 -133 -12 -228 -15 -217 -106 -52 -179 -118 -54 -70 -99 -160 -24 -71 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-622 -260 -200 -483 -531 -22 -82 -308 -593 -271 -134 -431 -190 -460 -434 -558 -166 -136 -404 -10 -225 -397 -375 -371 -654 -374 -137 -659 -413 -117 -602 -585 -601 -451 -171 -296 -437 -505 -675 -153 -286 -28 -515 -221 -124 -662 -516 -119 -390 -78 -372 -490 -403 -341 -623 -264 -672 -94 -238 -250 -382 -526 -360 -170 -109 -228 -226 -70 -519 -481 -174 -471 -9 -497 -488 -337 -729 -72 -489 -717 -426 -159 -436 -600 -84 -1 -742 -258 -346 -205 -427 -479 -243 -358 -90 -482 -471 -234 -131 -108 -670 -740 -748 -427 -563 -691 -354 -427 -755 -708 -389 -741 -125 -723 -274 -464 -223 -497 -182 -167 -83 -387 -464 -195 -131 -161 -213 -671 -491 -66 -138 -121 -498 -408 -429 -643 -803 -118 -561 -217 -282 -400 -396 -434 -501 -134 -409 -162 -696 -14 -269 -663 -531 -620 -208 -71 -511 -421 -371 -797 -454 -273 -167 -261 -618 -769 -738 -71 -239 -117 -204 -149 -820 -222 -337 -383 -181 -433 -765 -367 -286 -152 -59 -673 -333 -238 -121 -16 -614 -630 -196 -306 -703 -363 -296 -366 -515 -673 -90 -421 -474 -794 -522 -842 -185 -732 -642 -830 -19 -735 -153 -814 -654 -550 -175 -626 -148 -661 -876 -601 -822 -692 -784 -761 -738 -144 -672 -16 -572 -484 -851 -849 -41 -59 -700 -586 -323 -504 -156 -755 -408 -10 -228 -116 -174 -860 -837 -796 -392 -380 -403 -886 -360 -200 -38 -544 -448 -281 -218 -132 -571 -650 -666 -332 -130 -618 -306 -272 -95 -110 -804 -25 -61 -114 -369 -675 -58 -341 -543 -477 -936 -617 -684 -803 -40 -285 -919 -72 -685 -318 -107 -210 -926 -600 -130 -707 -355 -221 -951 -687 -599 -745 -889 -10 -188 -687 -191 -789 -44 -774 -53 -738 -889 -332 -575 -838 -975 -224 -720 -910 -478 -35 -740 -549 -911 -624 -596 -865 -485 -476 -348 -664 -674 -597 -839 -698 -746 -527 -95 -623 -662 -795 -287 -969 -21 -730 -191 -866""" jump_list = [int(x) for x in INPUT.split("\n")] current_index = 0 steps_taken = 0 while 0 <= current_index < len(jump_list): current_jump = jump_list[current_index] jump_list[current_index] += 1 current_index += current_jump steps_taken += 1 print("V1 Final index: %d, steps taken: %d" % (current_index, steps_taken)) jump_list = [int(x) for x in INPUT.split("\n")] current_index = 0 steps_taken = 0 while 0 <= current_index < len(jump_list): current_jump = jump_list[current_index] if current_jump >= 3: jump_list[current_index] -= 1 else: jump_list[current_index] += 1 current_index += current_jump steps_taken += 1 print("V2 Final index: %d, steps taken: %d" % (current_index, steps_taken))

6.208214

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0.137342

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0

1

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null

0

4

5c9e4fe1207368c45ca10b5f51b1b2b333b3e605

37

py

Python

Utils_Time.py

ZerethjiN/SweetNightmare

18dc60794f9c09b434df07a21974fa23e945d53b

[ "MIT" ]

null

Utils_Time.py

ZerethjiN/SweetNightmare

18dc60794f9c09b434df07a21974fa23e945d53b

[ "MIT" ]

null

Utils_Time.py

ZerethjiN/SweetNightmare

18dc60794f9c09b434df07a21974fa23e945d53b

[ "MIT" ]

null

class Time: deltaTime: float = 0

18.5

24

0.648649

5

37

4.8

1

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0.037037

0.27027

37

2

24

18.5

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1

0

null

0

1

0

4

5cdb34254a04b5a3c4a7f32606d146bbfa71eee2

876

py

Python

ex/ex108.py

Ozcry/PythonExercicio

b4d4a4fbd6467d1ced0815677ecbd78c2613c4c9

[ "MIT" ]

null

ex/ex108.py

Ozcry/PythonExercicio

b4d4a4fbd6467d1ced0815677ecbd78c2613c4c9

[ "MIT" ]

null

ex/ex108.py

Ozcry/PythonExercicio

b4d4a4fbd6467d1ced0815677ecbd78c2613c4c9

[ "MIT" ]

null

'''Adapte o código do DESAFIO 107, criando uma função adicional chamada moeda() que consiga mostrar os valores como um valor monetário formatodo.''' from utilidadesCeV import moeda print('\033[1;33m-=\033[m' * 20) n1 = float(input('\033[34mDigite o preço: R$\033[m')) por = int(input('\033[33mQuantos porcentos deseja aumentar ou diminuir?\033[m ')) print(f'\033[35mA metade de {moeda.moeda(n1)} é {moeda.moeda(moeda.metade(n1))}\033[m') print(f'\033[36mO dobro de {moeda.moeda(n1)} é {moeda.moeda(moeda.dobro(n1))}\033[m') if por > 0: print(f'\033[31mAumentando {por}%, temos {moeda.moeda(moeda.aumento(n1, por))}\033[m') elif por < 0: print(f'\033[31mDiminuindo {por * -1}%, temos {moeda.moeda(moeda.aumento(n1, por))}\033[m') else: print(f'\033[31mO preço continua o mesmo {moeda.moeda(n1)}\033[m') print('\033[1;33m-=\033[m' * 20) print('\033[1;32mFIM\033[m')

51.529412

118

0.690639

151

876

4.006623

0.423841

0.181818

0.07438

0.039669

0.363636

0.277686

0.218182

0.119008

0

0.129987

0.113014

876

16

119

54.75

0.648649

0.1621

0

0.142857

0

0.285714

0.70467

0.214286

0

0.0625

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0.071429

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0.071429

0.571429

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null

0

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null

0

1

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4

5cdbcd95820cb474cbbcbe9e978a8b1138a476a3

226

py

Python

backend/src/publisher/processing/pubsub.py

rutvikpadhiyar000/github-trends

af66cd1419586c6c91b75c3e32013160b2c36bcb

[ "MIT" ]

157

2021-09-11T15:53:52.000Z

2022-03-27T07:03:09.000Z

backend/src/publisher/processing/pubsub.py

rutvikpadhiyar000/github-trends

af66cd1419586c6c91b75c3e32013160b2c36bcb

[ "MIT" ]

120

2021-02-27T21:37:47.000Z

2022-03-25T14:44:08.000Z

backend/src/publisher/processing/pubsub.py

rutvikpadhiyar000/github-trends

af66cd1419586c6c91b75c3e32013160b2c36bcb

[ "MIT" ]

5

2021-12-06T18:43:01.000Z

2022-01-31T07:06:16.000Z

from typing import Optional from src.utils.pubsub import publish_to_topic def publish_user(user_id: str, access_token: Optional[str] = None): publish_to_topic("user", {"user_id": user_id, "access_token": access_token})

28.25

80

0.769912

35

226

4.657143

0.485714

0.110429

0.171779

0

0.119469

226

7

81

32.285714

0.819095

0

0.10177

0

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null

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1

0

null

0

1

0

1

0

1

0

4

5cdd20d05eb717b7f4243363062160a100dab9c9

118

py

Python

Curso de Python USP Part1/Exercicios/quadrado.py

JorgeTranin/Cursos_Coursera

37d26b5f92d9324225f6701d0eb0fd466cff9d86

[ "MIT" ]

null

Curso de Python USP Part1/Exercicios/quadrado.py

JorgeTranin/Cursos_Coursera

37d26b5f92d9324225f6701d0eb0fd466cff9d86

[ "MIT" ]

null

Curso de Python USP Part1/Exercicios/quadrado.py

JorgeTranin/Cursos_Coursera

37d26b5f92d9324225f6701d0eb0fd466cff9d86

[ "MIT" ]

null

L = int(input("Digite o valor correspondente ao lado de um quadrado: ")) print("perímetro:",L * 4, "- área:",L ** 2)

29.5

72

0.635593

19

118

3.947368

0.894737

0

0.020408

0.169492

118

3

73

39.333333

0.744898

0

0.601695

0

1

0

false

0

0.5

1

0

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0

1

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1

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null

0

1

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4

7a26e0f517228dafa5ac2b7d52e21b66ca3b16fb

144

py

Python

tests/context.py

MrSSHH/URL-Shortener

8d472d1143dab5cf05a0f176d9b3a14da93d8df5

[ "MIT" ]

2

2019-08-26T10:55:03.000Z

2019-12-29T19:13:54.000Z

tests/context.py

MrSSHH/URL-Shortener

8d472d1143dab5cf05a0f176d9b3a14da93d8df5

[ "MIT" ]

null

tests/context.py

MrSSHH/URL-Shortener

8d472d1143dab5cf05a0f176d9b3a14da93d8df5

[ "MIT" ]

null

import sys import os sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) + r"\URL_Modules") from url import *

28.8

101

0.694444

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144

3.958333

0.583333

0.189474

0

0.007874

0.118056

144

4

102

36

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0

0.1

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1

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true

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0

0.75

0

1

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null

0

1

0

null

0

1

0

1

0

4

7a27fc2540fc88dc152a67e397b41abd7ec9fe37

90

py

Python

keyboards/apps.py

noltron000-coursework/django-contractor

5628accf4538a9cb4f2e3a8207e054785478406a

[ "MIT" ]

null

keyboards/apps.py

noltron000-coursework/django-contractor

5628accf4538a9cb4f2e3a8207e054785478406a

[ "MIT" ]

1

2020-03-10T19:48:24.000Z

keyboards/apps.py

noltron000-coursework/django-contractor

5628accf4538a9cb4f2e3a8207e054785478406a

[ "MIT" ]

null

from django.apps import AppConfig class KeyboardsConfig(AppConfig): name = 'keyboards'

15

33

0.788889

10

90

7.1

0.9

0

0.133333

90

5

34

18

0.910256

0

0.1

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

7a8579d80176f07894fb75753fa81090b7613cdf

26

py

Python

mymcadmin/__init__.py

durandj/mymcadmin

6c9ebfa2a5dfcea1f5fb5c5cf1c0256b05b98172

[ "MIT" ]

null

mymcadmin/__init__.py

durandj/mymcadmin

6c9ebfa2a5dfcea1f5fb5c5cf1c0256b05b98172

[ "MIT" ]

null

mymcadmin/__init__.py

durandj/mymcadmin

6c9ebfa2a5dfcea1f5fb5c5cf1c0256b05b98172

[ "MIT" ]

null

""" MyMCAdmin system """

5.2

16

0.576923

2

26

7.5

1

0

0.192308

26

4

17

6.5

0.714286

0.615385

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

7a8bc40bacace03c8c8f3635e8eac5c68bc4a6a3

90

py

Python

WebSpider/__init__.py

bianQ/similarweb

3df31af1267a285d0bc6adf720409ceb43eb56cb

[ "MIT" ]

null

WebSpider/__init__.py

bianQ/similarweb

3df31af1267a285d0bc6adf720409ceb43eb56cb

[ "MIT" ]

null

WebSpider/__init__.py

bianQ/similarweb

3df31af1267a285d0bc6adf720409ceb43eb56cb

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: UTF-8 -*- """ @author: Alan @time: 2021/05/18 """

12.857143

23

0.488889

12

90

3.666667

1

0

0.128571

0.222222

90

6

24

15

0.5

0.866667

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null

0

null

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null

0

null

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null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

7a9c8872f8d352a186e7f7dff6e7a117af2d9e83

378

py

Python

ch3/3-5.change.py

AngangGuo/pycrash

de48aa4198022c301f5cd3ce388c195a177be1b5

[ "MIT" ]

null

ch3/3-5.change.py

AngangGuo/pycrash

de48aa4198022c301f5cd3ce388c195a177be1b5

[ "MIT" ]

null

ch3/3-5.change.py

AngangGuo/pycrash

de48aa4198022c301f5cd3ce388c195a177be1b5

[ "MIT" ]

null

guests = ["Mark", "Kevin", "Mellisa"] msg = "I'd like to invite you to have a dinner with us on 5/18. Thanks, Andrew" print(f"Hi {guests[0]}, {msg}") print(f"Hi {guests[1]}, {msg}") print(f"Hi {guests[2]}, {msg}") print(f"\nSorry, {guests[1]} can't make it.\n") guests[1] = "Ace" print(f"Hi {guests[0]}, {msg}") print(f"Hi {guests[1]}, {msg}") print(f"Hi {guests[2]}, {msg}")

29.076923

79

0.597884

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378

3.183099

0.478873

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0.212389

0.371681

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0.033537

0.132275

378

12

80

31.5

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0.6

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1

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false

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0

null

0

1

0

1

0

null

0

1

0

4

7a9e4b01c11c145feba912c078567ed568156402

139

py

Python

baekjoon/15552.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

baekjoon/15552.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

baekjoon/15552.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

import sys n=int(sys.stdin.readline().rstrip()) for i in range(n): a,b=(sys.stdin.readline().rstrip()).split() print(int(a)+int(b))

27.8

47

0.640288

25

139

3.56

0.6

0.179775

0.359551

0.494382

0

0.115108

139

5

48

27.8

0.723577

0

1

0

false

0

0.2

0

0.2

1

0

null

0

1

0

1

0

null

0

4

8f96979ad2f6bbf6c6234d1a28390551ce6c2fb2

229

py

Python

perfil/views.py

DiegoSilvaHoffmann/Small-Ecommerce

c6f9d75cc6dd558aa1ba9abe0186a27fe15b32d2

[ "MIT" ]

null

perfil/views.py

DiegoSilvaHoffmann/Small-Ecommerce

c6f9d75cc6dd558aa1ba9abe0186a27fe15b32d2

[ "MIT" ]

null

perfil/views.py

DiegoSilvaHoffmann/Small-Ecommerce

c6f9d75cc6dd558aa1ba9abe0186a27fe15b32d2

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import ListView from django.views import View class Criar(View): pass class Atualizar(View): pass class Login(View): pass class Logout(View): pass

14.3125

41

0.737991

32

229

5.28125

0.46875

0.189349

0.230769

0

0.19214

229

16

42

14.3125

0.913514

0

0.363636

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1

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true

0.363636

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null

0

1

0

null

0

1

0

1

0

4

8fac0ae8f9514ba41f12c27dc35812eb8d29e14f

353

py

Python

project_1/hello_world.py

nwahal/facerecsolns

2e493578d258655b31da8dd0636eb5c3ac318f12

[ "MIT" ]

null

project_1/hello_world.py

nwahal/facerecsolns

2e493578d258655b31da8dd0636eb5c3ac318f12

[ "MIT" ]

null

project_1/hello_world.py

nwahal/facerecsolns

2e493578d258655b31da8dd0636eb5c3ac318f12

[ "MIT" ]

null

""" hello_world.py Simple Hello World program. ECE196 Face Recognition Project Author: Will Chen 1. Write a Write a program that prints "Hello World!" and uses the main function convention. """ # TODO: Write a program that prints "Hello World!" and uses a main function. def main(): print("Hello World!") if(__name__ == '__main__'): main()

19.611111

92

0.711048

52

353

4.653846

0.538462

0.206612

0.107438

0.140496

0.330579

0

0.013889

0.184136

353

17

93

20.764706

0.826389

0.747875

0

0.246914

0

0.058824

0

1

0.25

true

0

0.25

0

null

1

0

null

0

1

0

1

0

4

8fc92bd4080b99073a6946d5f4528d516acfd1f3

261

py

Python

clean_mona.py

Shtrikh17/mona

46cd2f3011f14264d0815e9c023cdc4faa1155fd

[ "BSD-3-Clause" ]

null

clean_mona.py

Shtrikh17/mona

46cd2f3011f14264d0815e9c023cdc4faa1155fd

[ "BSD-3-Clause" ]

null

clean_mona.py

Shtrikh17/mona

46cd2f3011f14264d0815e9c023cdc4faa1155fd

[ "BSD-3-Clause" ]

null

import sys if 'mona' in sys.modules: reload(mona) reload(mona.dbglib) reload(mona.dbglib.pykd) else: import mona if 'monaFile' in sys.modules: reload(monaFile) reload(mona.dbglib) reload(mona.dbglib.pykd) else: import monaFile

17.4

29

0.678161

36

261

4.916667

0.305556

0.282486

0.361582

0.20339

0.519774

0

0.214559

261

15

30

17.4

0.863415

0

0.461538

0

0.045802

0

1

0

true

0

0.230769

0

0.230769

0

null

1

0

null

0

1

0

4

64dfd0e6fd427984b989d25f43ea849e57ac9302

1,275

py

Python

mathpad/trigonometry.py

CallumJHays/mathpad

bb2aab07ead67cd95637d9bd7cd952f0ac7161e8

[ "MIT" ]

2

2021-09-08T09:29:41.000Z

2021-09-29T05:12:20.000Z

mathpad/trigonometry.py

CallumJHays/mathpad

bb2aab07ead67cd95637d9bd7cd952f0ac7161e8

[ "MIT" ]

1

2021-09-29T05:13:26.000Z

2021-10-06T05:11:22.000Z

mathpad/trigonometry.py

CallumJHays/mathpad

bb2aab07ead67cd95637d9bd7cd952f0ac7161e8

[ "MIT" ]

null

from re import L import sympy from mathpad import * def sin(x: Q[Angle]) -> Dimensionless: return Dimensionless(1, sympy.sin(x.val)) # type: ignore def cos(x: Q[Angle]) -> Dimensionless: return Dimensionless(1, sympy.cos(x.val)) # type: ignore def tan(x: Q[Angle]) -> Dimensionless: return Dimensionless(1, sympy.tan(x.val)) # type: ignore def magnitude(*xs: Q[GenericVal]) -> GenericVal: "x's are lengths in orthogonal directions. ie (i, j k)" c_2 = 0 for x in xs: c_2 += x ** 2 return sqrt(c_2) def hypotenuse(a: Q[Length], b: Q[Length]) -> Length: return cartesian_distance(a, b) # TODO: add more trig functions def sine_rule( a: Q[Length], # length of side a b: Q[Length], # length of side b alpha: Q[Angle], # internal angle opposite to side a beta: Q[Angle], # internal angle opposite to side b ) -> Equation: "Relates lengths of two sides of any triangle the internal angle opposite" return a == b * sin(alpha) / sin(beta) def cosine_rule( a: Q[Length], # length of side a b: Q[Length], # length of side b c: Q[Length], # length of side c C: Q[Angle], # internal angle opposite to side c ) -> Equation: return c ** 2 == a ** 2 + b ** 2 - 2 * a * b * cos(C)

25.5

78

0.624314

206

1,275

3.834951

0.315534

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0.098734

0.094937

0.501266

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1,275

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null

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1

0

1

0

4

64f4bde679a94c99ab45d7aee7cdf5dbbd968860

226

py

Python

JJE_Standings/views.py

namur007/JJE_App

7765953455133f33a5dcc4a2f3a99ffb38eae71f

[ "MIT" ]

2

2017-05-05T14:02:37.000Z

2017-07-21T13:19:31.000Z

JJE_Standings/views.py

namur007/JJE_App

7765953455133f33a5dcc4a2f3a99ffb38eae71f

[ "MIT" ]

7

2018-01-31T13:28:12.000Z

2020-02-19T01:57:55.000Z

JJE_Standings/views.py

namur007/JJE_App

7765953455133f33a5dcc4a2f3a99ffb38eae71f

[ "MIT" ]

null

from django.views.generic import TemplateView class IndexView(TemplateView): """ This is for rendering out the standings graph Some work to be done here """ template_name = "JJE_Standings/standings.html"

22.6

50

0.721239

29

226

5.551724

0.896552

0

0.207965

226

9

51

25.111111

0.899441

0.314159

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0.333333

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1

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1

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null

0

1

0

1

0

4

64f8f51563a4a2fd6eba9ea5ede745f26ba5f536

1,461

py

Python

setup.py

giumas/testwheel

a70e63a77e044ec65b5d2c65b2968ffdda85e9a3

[ "MIT" ]

null

setup.py

giumas/testwheel

a70e63a77e044ec65b5d2c65b2968ffdda85e9a3

[ "MIT" ]

null

setup.py

giumas/testwheel

a70e63a77e044ec65b5d2c65b2968ffdda85e9a3

[ "MIT" ]

null

import os from setuptools import setup #from setuptools import find_packages def read(*paths): """Build a file path from *paths* and return the contents.""" with open(os.path.join(*paths), 'r') as f: return f.read() setup( name='testwheel', version='0.0.1', description='Dummy module for wheel testing.', long_description=(read('README.rst') + '\n\n' + read('HISTORY.rst') + '\n\n' + read('AUTHORS.rst')), url='http://github.com/giumas/testwheel/', license='MIT', author='giumas', author_email='giumas@yahoo.it', py_modules=['testwheel'], #packages=find_packages(exclude=['tests*']), include_package_data=True, install_requires=['numpy'], classifiers=[ # https://pypi.python.org/pypi?%3Aaction=list_classifiers 'Development Status :: 1 - Planning', 'Intended Audience :: Developers', 'Natural Language :: English', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Topic :: Software Development :: Libraries :: Python Modules', 'Topic :: System :: Installation/Setup' ], )

1,461

0.601643

158

1,461

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0.588608

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0.172414

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1,461

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1,461

0.774864

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true

0

0.057143

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null

0

1

0

null

0

1

0

4

8f21d3accf2d5b132ab17d66f63c9f53b4eec28b

177

py

Python

Nite_Mode/forms.py

thechawla225/NIte-Mode

8d7f5f1d571fe151cd933e47041515b20f124f25

[ "MIT" ]

1

2021-02-20T20:09:41.000Z

Nite_Mode/forms.py

thechawla225/NIte-Mode

8d7f5f1d571fe151cd933e47041515b20f124f25

[ "MIT" ]

2

2021-04-13T12:03:53.000Z

2021-05-20T04:04:16.000Z

Nite_Mode/forms.py

thechawla225/NIte-Mode

8d7f5f1d571fe151cd933e47041515b20f124f25

[ "MIT" ]

null

from Nite_Mode.models import PDFModel from django import forms class UploadPDFForm(forms.ModelForm): class Meta: model = PDFModel fields = ('title', 'pdf',)

25.285714

37

0.689266

21

177

5.761905

0.761905

0

0.220339

177

7

38

25.285714

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1

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null

0

1

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1

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8f3d94dc709b0c51989ce79907578314721ef87e

236

py

Python

examples/data_mongo/service.py

corpseware/reliabilly

e8d310d43478407e2cf8b45cc746362124140385

[ "MIT" ]

1

2018-11-24T02:07:37.000Z

examples/data_mongo/service.py

corpseware/reliabilly

e8d310d43478407e2cf8b45cc746362124140385

[ "MIT" ]

1

2019-01-23T07:12:30.000Z

examples/data_mongo/service.py

corpseware/reliabilly

e8d310d43478407e2cf8b45cc746362124140385

[ "MIT" ]

1

2019-01-16T05:30:49.000Z

from nameko.runners import ServiceRunner from .controllers.data_mongo_controller import DataMongoController from .settings import Constants RUNNER = ServiceRunner(config=Constants.NAMEKO_CONFIG) RUNNER.add_service(DataMongoController)

33.714286

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236

7.807692

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0.072034

236

6

67

39.333333

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0

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1

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null

0

1

0

1

0

4

8f41ebca9467010e9f2c37e9304f62389b7fca64

6,170

py

Python

tests/channel_test.py

Beer4Ever83/ipytv

bad995b7aca34ae178d455451c8979b92088e191

[ "MIT" ]

5

2021-09-10T18:10:58.000Z

2022-03-11T23:52:00.000Z

tests/channel_test.py

Beer4Ever83/ipytv

bad995b7aca34ae178d455451c8979b92088e191

[ "MIT" ]

25

2021-02-10T21:05:21.000Z

2022-03-22T17:35:14.000Z

tests/channel_test.py

Beer4Ever83/ipytv

bad995b7aca34ae178d455451c8979b92088e191

[ "MIT" ]

1

2021-09-10T18:10:43.000Z

import unittest from ipytv import IPTVAttr, IPTVChannel, MalformedExtinfException class TestIsM3UPlusExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1 tvg-id="" tvg-name="Io, Leonardo (2019)" tvg-logo="https://image.tmdb.org/t/p/w600_and_h900_bestv2/6DfpPu4iGrBswsyLdJlCwiLCudw.jpg" group-title="Recenti e Oggi al Cinema",Io, Leonardo (2019)''' self.assertTrue(IPTVChannel.is_m3u_plus_extinf_string(extinf_string)) class TestIsNotM3UPlusExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1,SANTUÁRIO DE FÁTIMA''' self.assertFalse(IPTVChannel.is_m3u_plus_extinf_string(extinf_string)) class TestIsM3UExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1,SANTUÁRIO DE FÁTIMA''' self.assertTrue(IPTVChannel.is_m3u_extinf_string(extinf_string)) class TestIsNotM3UExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1 tvg-id="" tvg-name="Io, Leonardo (2019)" tvg-logo="https://image.tmdb.org/t/p/w600_and_h900_bestv2/6DfpPu4iGrBswsyLdJlCwiLCudw.jpg" group-title="Recenti e Oggi al Cinema",Io, Leonardo (2019)''' self.assertFalse(IPTVChannel.is_m3u_extinf_string(extinf_string)) class TestParseM3UPlusExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1 tvg-id="Rai1.it" tvg-name="Rai 1 SuperHD" tvg-logo="https://static.epg.best/it/RaiUno.it.png" group-title="SuperHD",Rai 1 SuperHD''' expected_attributes = { IPTVAttr.TVG_ID.value: "Rai1.it", IPTVAttr.TVG_NAME.value: "Rai 1 SuperHD", IPTVAttr.TVG_LOGO.value: "https://static.epg.best/it/RaiUno.it.png", IPTVAttr.GROUP_TITLE.value: "SuperHD" } expected = IPTVChannel( url="", name="Rai 1 SuperHD", duration="-1", attributes=expected_attributes ) ch = IPTVChannel() ch.parse_extinf_string(extinf_string) self.assertTrue(ch.__eq__(expected), "the two channels are not equal") class TestParseM3UPlusExtinfStringWithCommas(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1 tvg-id="" tvg-name="Io, Leonardo (2019)" tvg-logo="https://image.tmdb.org/t/p/w600_and_h900_bestv2/6DfpPu4iGrBswsyLdJlCwiLCudw.jpg" group-title="Recenti e Oggi al Cinema",Io, Leonardo (2019)''' expected_attributes = { IPTVAttr.TVG_ID.value: "", IPTVAttr.TVG_NAME.value: "Io, Leonardo (2019)", IPTVAttr.TVG_LOGO.value: "https://image.tmdb.org/t/p/w600_and_h900_bestv2/6DfpPu4iGrBswsyLdJlCwiLCudw.jpg", IPTVAttr.GROUP_TITLE.value: "Recenti e Oggi al Cinema" } expected = IPTVChannel( url="", name="Io, Leonardo (2019)", duration="-1", attributes=expected_attributes ) ch = IPTVChannel() ch.parse_extinf_string(extinf_string) self.assertTrue(ch.__eq__(expected), "the two channels are not equal") class TestParseBadM3UPlusExtinfStrings(unittest.TestCase): def runTest(self): extinf_strings = [ ''' #EXTINF:-1 tvg-id="" tvg-name="" tvg-logo="" group-title="",Off The Map''', '''#EXTINF :-1 tvg-id="" tvg-name="" tvg-logo="" group-title="",Off The Map''', '''#EXTINF:-1 tvg-id=" tvg-name="" tvg-logo="" group-title="",Off The Map''', '''#EXTINF:-1 tvg-id="" tvg-name="" tvg-logo="" group-title="" Off The Map''', '''#EXTINF:-1 tvg/id="" tvg-name="" tvg-logo="" group-title="",Off The Map''', '''#EXTINF:-1 tvg-id="" tvg-name="" tvg-logo="" group-title="''', '''#EXTINF:-1tvg-id="" tvg-name="" tvg-logo="" group-title="",Off The Map''', '''#EXTINF:-1 tvg-id=""tvg-name="" tvg-logo="" group-title="",Off The Map''' ] for extinf_string in extinf_strings: ch = IPTVChannel() self.assertRaises(MalformedExtinfException, ch.parse_extinf_string, extinf_string) class TestParseM3UExtinfString(unittest.TestCase): def runTest(self): extinf_string = '''#EXTINF:-1,SANTUÁRIO DE FÁTIMA''' expected_attributes = {} expected = IPTVChannel( url="", name="SANTUÁRIO DE FÁTIMA", duration="-1", attributes=expected_attributes ) ch = IPTVChannel() ch.parse_extinf_string(extinf_string) self.assertTrue(ch.__eq__(expected), "the two channels are not equal") class TestCopy(unittest.TestCase): def runTest(self): original_attributes = { IPTVAttr.TVG_ID.value: "Rai1.it", IPTVAttr.TVG_NAME.value: "Rai 1 SuperHD", IPTVAttr.TVG_LOGO.value: "https://static.epg.best/it/RaiUno.it.png", IPTVAttr.GROUP_TITLE.value: "SuperHD" } original = IPTVChannel( url="", name="Rai 1 SuperHD", duration="-1", attributes=original_attributes ) clone = original.copy() self.assertTrue(original == clone) clone.name = "my " + clone.name self.assertTrue(original != clone) self.assertTrue("my " + original.name == clone.name) class TestToString(unittest.TestCase): def runTest(self): original_attributes = { IPTVAttr.TVG_ID.value: "Rai1.it", IPTVAttr.TVG_NAME.value: "Rai 1 SuperHD", IPTVAttr.TVG_LOGO.value: "https://static.epg.best/it/RaiUno.it.png", IPTVAttr.GROUP_TITLE.value: "SuperHD" } original = IPTVChannel( url="", name="Rai 1 SuperHD", duration="-1", attributes=original_attributes ) expected_output = '{name: "Rai 1 SuperHD", duration: "-1", url: "", attributes: {tvg-id: "Rai1.it", tvg-name: "Rai 1 SuperHD", tvg-logo: "https://static.epg.best/it/RaiUno.it.png", group-title: "SuperHD"}}' real_output = str(original) self.assertEqual(expected_output, real_output) if __name__ == '__main__': unittest.main()

42.847222

231

0.626256

713

6,170

5.276297

0.13885

0.076555

0.07177

0.035088

0.777778

0.754652

0.718767

0.694843

0.661085

0

0.024365

0.228363

6,170

143

232

43.146853

0.765806

0

0.546218

0

0.042017

0.275323

0.00449

0

0.10084

1

0.084034

false

0

0.016807

0

0.184874

0

null

0

1

0

1

0

null

0

4

8f43fa830572c3ab192dae9c2537d2ed0d4e3621

54

py

Python

games/slots.py

Alpuds/pycasino

df69480c848df7c4faffcd77ec73e80d92e60502

[ "MIT" ]

null

games/slots.py

Alpuds/pycasino

df69480c848df7c4faffcd77ec73e80d92e60502

[ "MIT" ]

null

games/slots.py

Alpuds/pycasino

df69480c848df7c4faffcd77ec73e80d92e60502

[ "MIT" ]

null

def slots(bet): print(f"You bet {bet} for slots")

18

37

0.62963

10

54

3.4

0.7

0

0.203704

54

2

38

27

0.790698

0

0.425926

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

8f65a335187c37c09ab3a28113c42220d2300104

1,644

py

Python

jazzy/functions/StackManipFunc.py

joewashear007/jazzy

f646de7b2e54040abc91e7b737675d9f565c621b

[ "MIT" ]

null

jazzy/functions/StackManipFunc.py

joewashear007/jazzy

f646de7b2e54040abc91e7b737675d9f565c621b

[ "MIT" ]

8

2015-02-17T15:10:22.000Z

2015-03-03T04:12:43.000Z

jazzy/functions/StackManipFunc.py

joewashear007/jazzy

f646de7b2e54040abc91e7b737675d9f565c621b

[ "MIT" ]

null

all__ = ['jazPush', 'jazRvalue', 'jazLvalue', 'jazPop', 'jazAssign', 'jazCopy'] class jazPush: def __init__(self): self.command = "push" def call(self, interpreter, arg): interpreter.GetScope().stack.append(int(arg)) return None class jazRvalue: def __init__(self): self.command = "rvalue" def call(self, interpreter, arg): value = interpreter.GetScope().GetVar(arg) interpreter.GetScope().stack.append(value) return None class jazLvalue: def __init__(self): self.command = "lvalue" def call(self, interpreter, arg): address = interpreter.GetScope().GetAddress(arg) interpreter.GetScope().stack.append(address) return None class jazPop: def __init__(self): self.command = "pop" def call(self, interpreter, arg): interpreter.GetScope().stack.pop() return None class jazAssign: def __init__(self): self.command = ":=" def call(self, interpreter, arg): value = interpreter.GetScope().stack.pop() addr = interpreter.GetScope().stack.pop() interpreter.GetScope().SetVar(addr, value) return None class jazCopy: def __init__(self): self.command = "copy" def call(self, interpreter, arg): topStack = interpreter.GetScope().stack[-1] interpreter.GetScope().stack.append(topStack) return None # A dictionary of the classes in this file # used to autoload the functions Functions = {'jazPush': jazPush, 'jazRvalue': jazRvalue, 'jazLvalue': jazRvalue, 'jazPop':jazPop, 'jazAssign':jazAssign, 'jazCopy':jazCopy}

27.864407

139

0.641727

177

1,644

5.813559

0.259887

0.20311

0.186589

0.087464

0.437318

0.190476

0

0.000791

0.230535

1,644

58

140

28.344828

0.812648

0.043187

0

0.418605

0

0.075796

0

1

0.27907

false

0

0.55814

0

null

1

0

null

0

1

0

1

0

4

8f6c37754c428b95644086a0ed5c2221972cdbd6

204

py

Python

photobooth/backend/serializer.py

antoine-gagne/photo-booth

91a2911eab4e17e2400eb575c47620bf5f631d6d

[ "Unlicense" ]

null

photobooth/backend/serializer.py

antoine-gagne/photo-booth

91a2911eab4e17e2400eb575c47620bf5f631d6d

[ "Unlicense" ]

1

2021-03-10T13:52:17.000Z

photobooth/backend/serializer.py

antoine-gagne/photo-booth

91a2911eab4e17e2400eb575c47620bf5f631d6d

[ "Unlicense" ]

null

from rest_framework import serializers from . import models class PhotosSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = models.Photo fields = ["url", "name"]

22.666667

63

0.720588

20

204

7.3

0.75

0

0.20098

204

8

64

25.5

0.895706

0

0.034314

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8f720958a1e3356695ec4eb128fedc5b07593123

169

py

Python

numberize/dawgs.py

DanATW/numberize

895095df30f17619c05f74bdc37f807d983411a1

[ "MIT" ]

1

2021-09-21T13:12:25.000Z

numberize/dawgs.py

DanATW/numberize

895095df30f17619c05f74bdc37f807d983411a1

[ "MIT" ]

4

2021-11-02T15:33:10.000Z

2021-11-13T14:18:10.000Z

numberize/dawgs.py

DanATW/numberize

895095df30f17619c05f74bdc37f807d983411a1

[ "MIT" ]

null

import dawg import numberize.dicts as dicts ru_nums = dawg.IntDAWG(dicts.ru.ru_nums) uk_nums = dawg.IntDAWG(dicts.uk.uk_nums) en_nums = dawg.IntDAWG(dicts.en.en_nums)

21.125

40

0.786982

31

169

4.096774

0.322581

0.188976

0.354331

0.472441

0

0.100592

169

7

41

24.142857

0.835526

0

1

0

false

0

0.4

0

0.4

0

null

0

1

0

1

0

null

0

1

0

4

56ad89e93a9fa4abdfa4f2f2a4c4a760707f0158

149

py

Python

PDA/extra_assignments/6.7. While_ Average of sequence/solution/main.py

EMbeDS-education/StatsAndComputing20212022

971e418882b206a1b5606d15d222cef1a5a04834

[ "MIT" ]

2

2022-02-24T09:35:15.000Z

2022-03-14T20:34:33.000Z

PDA/extra_assignments/6.7. While_ Average of sequence/solution/main.py

GeorgiosArg/StatsAndComputing20212022

798d39af6aa5ef5eef49d5d6f43191351e8a49f3

[ "MIT" ]

null

PDA/extra_assignments/6.7. While_ Average of sequence/solution/main.py

GeorgiosArg/StatsAndComputing20212022

798d39af6aa5ef5eef49d5d6f43191351e8a49f3

[ "MIT" ]

2

2022-03-15T21:40:35.000Z

2022-03-26T14:51:31.000Z

a = int(input()) length = 0 sum_of_sequence = 0 while a != 0: sum_of_sequence += a length += 1 a = int(input()) print(sum_of_sequence / length)

18.625

31

0.651007

26

149

3.5

0.423077

0.164835

0.428571

0.307692

0

0.033613

0.201342

149

8

31

18.625

0.731092

0

0.25

0

1

0

false

0

0.125

1

0

null

0

1

0

1

0

null

0

4

710c6f8beab3b7b33909bfa1d48c6cc430b27567

3,321

py

Python

Phrasing/phrasing.py

cadia-lvl/phrasing-tool

202e95f15ad5819a4087b56e86a364e4402ec6a9

[ "MIT" ]

null

Phrasing/phrasing.py

cadia-lvl/phrasing-tool

202e95f15ad5819a4087b56e86a364e4402ec6a9

[ "MIT" ]

null

Phrasing/phrasing.py

cadia-lvl/phrasing-tool

202e95f15ad5819a4087b56e86a364e4402ec6a9

[ "MIT" ]

1

2022-02-11T10:14:14.000Z

import re import sys """ Put the parsed format into a readable list format """ def manipulate_text(line): line1 = line.split("[") line2 = [re.sub("\]", "", item).rstrip(" ") for item in line1] line3 = [item.split(" ") for item in line2] line4 = [list(filter(None, item)) for item in line3] return line4 """ Insert pauses accordingly to phrasing """ def pause_text(manipulated_list): for i in range(len(manipulated_list)): for j in range(len(manipulated_list[i])): try: if manipulated_list[i][j-1][-1] in [',', '.', '!', '?']: pass else: if manipulated_list[i][j][0].startswith(('NP', 'AP', 'PP', 'VP', 'InjP', 'MWE', 'AdvP')) or (manipulated_list[i][0] == 'CP' and manipulated_list[i][j-2][0] in ['NPs', 'APs']) or (manipulated_list[i][j][0] == 'CP' and (manipulated_list[i][j-1][0] == 'PP' and manipulated_list[i][j+1][0] == 'PP')): pass elif (manipulated_list[i][j][1] == 'sem' and manipulated_list[i][j-1][0] == 'NP'): if (manipulated_list[i][j-2][0] == 'PP' or (manipulated_list[i][j-2][0] == 'NP' and manipulated_list[i][j-3][0] == 'PP')): manipulated_list[i][j-1].append('<pau>') elif (manipulated_list[i][j][0] == 'CP' and not manipulated_list[i][j-1][-1].startswith('tf')) or (manipulated_list[i][j-2][0] == 'PP' and manipulated_list[i][j-1][0] == 'NP' and manipulated_list[i][j][0] == 'SCP' and not manipulated_list[i][j][1] == 'sem'):# and manipulated_list[i-2][0] not in ['NPs', 'APs']: manipulated_list[i][j-1].append('<pau>') elif (manipulated_list[i][j][0] == 'SCP' and not manipulated_list[i][j][1] == 'sem'): manipulated_list[i][j-1].append('<sil>') if manipulated_list[i][j][0] == 'CP' and (manipulated_list[i][j-1][0] == 'PP' and manipulated_list[i][j+1][0] == 'PP'): manipulated_list[i][j-2].append('<sil>') except: pass return manipulated_list """ Delete empty items and extract text """ def extract_text(line): line2 = [list(filter(None, item)) for item in line] line3 = [] for i in range(len(line2)): line3.append([line2[i][index] for index in range(1, len(line2[i]), 2)]) line4 = " ".join([item for sublist in line3 for item in sublist]) return line4 long_pause = '<sil>' medium_pause = '<pau>' short_pause = '<sp>' """ Put pause cues instead of punctuation marks """ def switch_punctuation(clean_list): clean_list2 = [re.sub('[\.\?\!\;]', long_pause, sent) for sent in clean_list] clean_list3 = [re.sub('[,\–\-\:\/\−]', medium_pause, sent) for sent in clean_list2] clean_list4 = [re.sub('[\„\“\"\”\·\*]', short_pause, sent) for sent in clean_list3] return clean_list4 with open(sys.argv[1]) as file: lines = [line.strip() for line in file] manipulated_text = [manipulate_text(x) for x in lines] paused_text = pause_text(manipulated_text) extracted_text = [extract_text(x) for x in paused_text] punctuated_text = switch_punctuation(extracted_text) with open(sys.argv[2], 'w') as f: for item in punctuated_text: f.write("%s\n" % item)

44.878378

331

0.57302

485

3,321

3.804124

0.228866

0.260163

0.251491

0.239566

0.461247

0.406504

0.321409

0.218428

0.214634

0.201084

0

0.027176

0.235471

3,321

73

332

45.493151

0.697913

0.015357

0

0.132075

0

0.0521

0

1

0.075472

false

0.056604

0.037736

0

0.188679

0

null

1

0

null

0

1

0

4

713f26f8699befb044299007a79b0e0a5d63cf4b

143

py

Python

docs/api-examples-source/widget.date_input.py

cdeil/streamlit

173aa1cd5835174620e8246eb5d7116be2cb6ffc

[ "Apache-2.0" ]

12

2021-10-15T20:25:24.000Z

2022-03-05T10:56:55.000Z

docs/api-examples-source/widget.date_input.py

cdeil/streamlit

173aa1cd5835174620e8246eb5d7116be2cb6ffc

[ "Apache-2.0" ]

221

2020-10-16T08:15:02.000Z

2022-03-29T10:25:00.000Z

docs/api-examples-source/widget.date_input.py

cdeil/streamlit

173aa1cd5835174620e8246eb5d7116be2cb6ffc

[ "Apache-2.0" ]

33

2021-10-29T19:32:53.000Z

2022-03-31T19:43:47.000Z

import streamlit as st import datetime d = st.date_input("When's your birthday", datetime.date(2020, 8, 11)) st.write("Your birthday is:", d)

23.833333

69

0.727273

25

143

4.12

0.68

0.23301

0

0.056452

0.132867

143

5

70

28.6

0.774194

0

0.258741

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

85700e5fb4a014467bc50901e9e35f98cabcdc51

269

py

Python

Queue/DequeModule.py

eferroni/Data-Structure-and-Algorithms

bad33d4619884e03c85e13f604db753af5b543a0

[ "MIT" ]

null

Queue/DequeModule.py

eferroni/Data-Structure-and-Algorithms

bad33d4619884e03c85e13f604db753af5b543a0

[ "MIT" ]

null

Queue/DequeModule.py

eferroni/Data-Structure-and-Algorithms

bad33d4619884e03c85e13f604db753af5b543a0

[ "MIT" ]

null

from collections import deque custQueue = deque(maxlen=3) print(custQueue) custQueue.append(0) custQueue.append(1) custQueue.append(2) print(custQueue) custQueue.append(3) print(custQueue) print(custQueue.popleft()) print(custQueue) custQueue.clear() print(custQueue)

17.933333

29

0.802974

35

269

6.171429

0.4

0.388889

0.319444

0.268519

0

0.02

0.070632

269

14

30

19.214286

0.844

0

0.384615

0

1

0

false

0

0.076923

0

0.076923

0.461538

0

null

1

0

null

0

1

0

4

85ae5d28a2562f3effa6eb72127fd5501774d17e

81

py

Python

python/mlserver-fusion/mlserver_fusion/version.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

5

2021-12-24T06:21:40.000Z

2022-01-16T12:21:06.000Z

python/mlserver-fusion/mlserver_fusion/version.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

66

2021-12-15T17:08:21.000Z

2022-03-29T10:36:18.000Z

python/mlserver-fusion/mlserver_fusion/version.py

roeap/flight-fusion

14f73c99c5214277d0abcced633d83b37f1d5292

[ "Apache-2.0", "MIT" ]

1

2022-02-08T21:07:08.000Z

from importlib.metadata import version __version__ = version("mlserver-fusion")

20.25

40

0.814815

9

81

6.888889

0.777778

0.451613

0

0.098765

81

3

41

27

0.849315

0

0.185185

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

85b49d17a52934cf2077cd850eb36122b1329826

71

py

Python

server/apidocs/kettle/utils.py

HAYASAKA-Ryosuke/vue_apidocument_app

732b35c1886c8194aa2f9cb4ecfae7cd7b8d24ef

[ "MIT" ]

5

2018-01-09T07:22:21.000Z

2022-01-30T18:43:29.000Z

server/apidocs/kettle/utils.py

HAYASAKA-Ryosuke/vue_apidocument_app

732b35c1886c8194aa2f9cb4ecfae7cd7b8d24ef

[ "MIT" ]

1

2018-08-27T19:35:14.000Z

2021-08-07T04:49:40.000Z

server/apidocs/kettle/utils.py

HAYASAKA-Ryosuke/vue_apidocument_app

732b35c1886c8194aa2f9cb4ecfae7cd7b8d24ef

[ "MIT" ]

null

STATUS = {200: '200 OK', 404: '404 Not Found', 400: '400 BAD REQUEST'}

35.5

70

0.619718

12

71

3.666667

0.75

0

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a41b6000a1f3739f2e3a440c58baa5493ad63bb9

1,421

py

Python

ParserTongue/errors.py

blamedcloud/ParserTongue

4c5dc54d8639ada946438c74a25f7ce6e54cef1a

[ "MIT" ]

null

ParserTongue/errors.py

blamedcloud/ParserTongue

4c5dc54d8639ada946438c74a25f7ce6e54cef1a

[ "MIT" ]

null

ParserTongue/errors.py

blamedcloud/ParserTongue

4c5dc54d8639ada946438c74a25f7ce6e54cef1a

[ "MIT" ]

null

#!/usr/bin/env python3 #errors.py class ParserTongueError(Exception): pass ######################## ### Tokenizer Errors ### ######################## class TokenizerError(ParserTongueError): pass class TokenInstantiationTypeError(TokenizerError): def __init__(self, message): self.message = message class UnknownTokenTypeError(TokenizerError): def __init__(self, message): self.message = message class TokenizerNoMatchError(TokenizerError): def __init__(self, message): self.message = message class TokenizerCreationError(TokenizerError): def __init__(self, message): self.message = message ###################### ### Grammar Errors ### ###################### class GrammarError(ParserTongueError): pass class GrammarParsingError(GrammarError): def __init__(self, message): self.message = message class RuleParsingError(GrammarError): def __init__(self, message): self.message = message class RuleLinkageError(GrammarError): def __init__(self, message): self.message = message class RuleTreeError(GrammarError): def __init__(self, message): self.message = message class GrammarLinkError(GrammarError): def __init__(self, message): self.message = message class GrammarDependencyError(GrammarError): def __init__(self, message): self.message = message

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a41fa918cfb6b3a1a5ae64bb4bd388f643281aa6

67

py

Python

source/libs/status_validator/__init__.py

eaxr/elasticsearch-cli

4eae551d8099f02a30443749eae09efbb636ea57

[ "MIT" ]

4

2019-07-13T13:29:31.000Z

2021-04-01T10:05:25.000Z

source/libs/status_validator/__init__.py

eaxr/elasticsearch-cli

4eae551d8099f02a30443749eae09efbb636ea57

[ "MIT" ]

null

source/libs/status_validator/__init__.py

eaxr/elasticsearch-cli

4eae551d8099f02a30443749eae09efbb636ea57

[ "MIT" ]

4

2019-08-21T15:59:37.000Z

2021-04-01T11:48:41.000Z

from .status import status_validator __all__ = [status_validator]

16.75

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a4744d13bef07e41b7b65a7d459ced7de86e20cd

24

py

Python

src/statick_web/plugins/web_tool_plugins/__init__.py

axydes/statick-web

965160f21504558571c6d4118ec22e9f27f3c6d2

[ "CC0-1.0" ]

2

2020-02-07T00:13:53.000Z

2020-02-07T00:58:26.000Z

src/statick_web/plugins/web_tool_plugins/__init__.py

axydes/statick-web

965160f21504558571c6d4118ec22e9f27f3c6d2

[ "CC0-1.0" ]

19

2020-02-14T23:47:25.000Z

2022-02-28T21:38:01.000Z

src/statick_web/plugins/web_tool_plugins/__init__.py

axydes/statick-web

965160f21504558571c6d4118ec22e9f27f3c6d2

[ "CC0-1.0" ]

3

2020-02-12T16:16:54.000Z

2020-02-14T00:53:46.000Z

"""Web tool plugins."""

12

23

0.583333

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24

4.666667

1

0

0.125

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1

24

0.666667

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1

0

null

0

1

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4

a48a9acd9bf83996d537af3220a5dc1c68c99807

289

py

Python

scripts/libs/spur/__init__.py

samueljero/BEADS

2cf78b8d375ccb250da175b3031fd29cb0cb2b92

[ "BSD-3-Clause" ]

14

2018-02-16T12:00:09.000Z

2021-09-15T09:37:13.000Z

scripts/libs/spur/__init__.py

samueljero/BEADS

2cf78b8d375ccb250da175b3031fd29cb0cb2b92

[ "BSD-3-Clause" ]

1

2018-08-18T23:06:53.000Z

2018-08-21T00:01:06.000Z

scripts/libs/spur/__init__.py

samueljero/BEADS

2cf78b8d375ccb250da175b3031fd29cb0cb2b92

[ "BSD-3-Clause" ]

10

2017-06-18T08:29:10.000Z

2021-06-07T12:16:27.000Z

from spur.local import LocalShell from spur.ssh import SshShell from spur.results import RunProcessError from spur.errors import NoSuchCommandError, CommandInitializationError __all__ = ["LocalShell", "SshShell", "RunProcessError", "NoSuchCommandError", "CommandInitializationError"]

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null

0

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4

f1085afcf61a9f4fb63c91c00f876609021c3041

312

py

Python

examples/add_permissions.py

djeromov/django-grainy

d0820e0c5cdcb5ac6d905fa713dfaf3e9fab5627

[ "Apache-2.0" ]

2

2018-02-18T15:23:18.000Z

2020-02-10T13:40:23.000Z

examples/add_permissions.py

djeromov/django-grainy

d0820e0c5cdcb5ac6d905fa713dfaf3e9fab5627

[ "Apache-2.0" ]

41

2017-12-01T01:10:41.000Z

2021-08-24T14:08:09.000Z

examples/add_permissions.py

djeromov/django-grainy

d0820e0c5cdcb5ac6d905fa713dfaf3e9fab5627

[ "Apache-2.0" ]

1

2021-08-10T17:46:14.000Z

import grainy.const # literal namespace with integer permission flag user.grainy_permissions.add_permission("a.b.c", grainy.const.READ) # literal namespace with string permission flag user.grainy_permissions.add_permission("a.b.c", "r") # same for groups group.grainy_permissions.add_permission("a.b.c", "r")

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null

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1

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4

f16c20ce8b6112adde24550108312e08ee579daa

309

py

Python

onnxruntime/python/tools/quantization/__init__.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

6,036

2019-05-07T06:03:57.000Z

2022-03-31T17:59:54.000Z

onnxruntime/python/tools/quantization/__init__.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

5,730

2019-05-06T23:04:55.000Z

2022-03-31T23:55:56.000Z

onnxruntime/python/tools/quantization/__init__.py

dennyac/onnxruntime

d5175795d2b7f2db18b0390f394a49238f814668

[ "MIT" ]

1,566

2019-05-07T01:30:07.000Z

2022-03-31T17:06:50.000Z

from .quantize import quantize, quantize_static, quantize_dynamic, quantize_qat from .quantize import QuantizationMode from .calibrate import CalibrationDataReader, CalibraterBase, MinMaxCalibrater, create_calibrator, CalibrationMethod from .quant_utils import QuantType, QuantFormat, write_calibration_table

61.8

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f179081383ee6e4b72ea5b1f82c11676c7681bdd

2,253

py

Python

cap_9/exercicios/9.11.py

rsmonteiro2021/execicios_python

d984508ec529c5a83b51354fc930fa8eafa40dc1

[ "MIT" ]

1

2021-04-26T02:55:16.000Z

cap_9/exercicios/9.11.py

rsmonteiro2021/execicios_python

d984508ec529c5a83b51354fc930fa8eafa40dc1

[ "MIT" ]

null

cap_9/exercicios/9.11.py

rsmonteiro2021/execicios_python

d984508ec529c5a83b51354fc930fa8eafa40dc1

[ "MIT" ]

null

from user_admin import User, Privileges, Admin first_name = input('Digite o primeiro nome do usuário:\n') last_name = input('Digite o último nome do usuário:\n') full_name = first_name.title() + " " + last_name.title() usuarios = ['Roberto Monteiro', 'Kesia Jacqueline'] usuario = User(first_name.title(), last_name.title(), 1) usuario_admin = Admin(first_name.title(), last_name.title(), 1) if full_name in usuarios: print('Informações do Usuário:') usuario.describe_user() print('Menagem de boas vindas:') print(usuario.greet_user()) usuario.increment_login_attempts(1) usuario_admin.privileges.show_privileges() else: print('Usuário não cadastrado. Você tem mais 3 tentaiva!') while usuario.login_attempts > 0 and usuario.login_attempts <= 3: first_name = input('Digite o primeiro nome do usuário:\n') last_name = input('Digite o último nome do usuário:\n') full_name = first_name.title() + " " + last_name.title() usuario = User(first_name, last_name, usuario.login_attempts) if usuario.login_attempts > 0 and usuario.login_attempts < 3: if full_name in usuarios: print('Informações do Usuário:') usuario.describe_user() print('Menagem de boas vindas:') print(usuario.greet_user()) usuario.increment_login_attempts(1) break else: print('Informações do Usuário:') usuario.describe_user() print(full_name.title() + ' não está cadastrado.') usuario.increment_login_attempts(1) else: if full_name in usuarios: print('Informações do Usuário:') usuario.describe_user() print('Menagem de boas vindas:') print(usuario.greet_user()) usuario.increment_login_attempts(1) break else: print('Informações do Usuário:') usuario.describe_user() print(full_name.title() + ' não está cadastrado.') usuario.reset_login_attempts(0) print('Você deve esperar alguns minutos para tentar logar novamente!')

44.176471

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262

2,253

5.099237

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4

74c4738dc3cc96c1b292c234f34c3c3b0e96ea0d

11

py

Python

_build/jupyter_execute/content/04-functions/namespaces_scope.py

ShanEllis/pythonbook

29cbf7045855c7fb281afe47bcbe31c0fce8543b

[ "MIT" ]

1

2020-06-24T21:21:51.000Z

_build/jupyter_execute/content/04-functions/namespaces_scope.py

ShanEllis/pythonbook

29cbf7045855c7fb281afe47bcbe31c0fce8543b

[ "MIT" ]

1

2020-03-31T01:04:16.000Z

_build/jupyter_execute/content/04-functions/namespaces_scope.py

ShanEllis/pythonbook

29cbf7045855c7fb281afe47bcbe31c0fce8543b

[ "MIT" ]

null

[AVOCADO]

3.666667

9

0.636364

1

11

7

1

0

0.181818

11

2

10

5.5

0.777778

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

74d887b6a2779b960567d581e4642640f6cccf7d

3,313

py

Python

tests/Unit/Evolution/Systems/GrMhd/ValenciaDivClean/Fluxes.py

nilsvu/spectre

1455b9a8d7e92db8ad600c66f54795c29c3052ee

[ "MIT" ]

117

2017-04-08T22:52:48.000Z

2022-03-25T07:23:36.000Z

tests/Unit/Evolution/Systems/GrMhd/ValenciaDivClean/Fluxes.py

GitHimanshuc/spectre

4de4033ba36547113293fe4dbdd77591485a4aee

[ "MIT" ]

3,177

2017-04-07T21:10:18.000Z

2022-03-31T23:55:59.000Z

tests/Unit/Evolution/Systems/GrMhd/ValenciaDivClean/Fluxes.py

geoffrey4444/spectre

9350d61830b360e2d5b273fdd176dcc841dbefb0

[ "MIT" ]

85

2017-04-07T19:36:13.000Z

2022-03-01T10:21:00.000Z

# Distributed under the MIT License. # See LICENSE.txt for details. import numpy as np def b_dot_v(magnetic_field, spatial_velocity, spatial_metric): return np.einsum("ab, ab", spatial_metric, np.outer(magnetic_field, spatial_velocity)) def b_squared(magnetic_field, spatial_metric): return np.einsum("ab, ab", spatial_metric, np.outer(magnetic_field, magnetic_field)) def magnetic_field_one_form(magnetic_field, spatial_metric): return np.einsum("a, ia", magnetic_field, spatial_metric) def p_star(pressure, b_dot_v, b_squared, lorentz_factor): return pressure + 0.5 * (b_dot_v**2 + b_squared / lorentz_factor**2) def spatial_velocity_one_form(spatial_velocity, spatial_metric): return np.einsum("a, ia", spatial_velocity, spatial_metric) def tilde_d_flux(tilde_d, tilde_tau, tilde_s, tilde_b, tilde_phi, lapse, shift, sqrt_det_spatial_metric, spatial_metric, inv_spatial_metric, pressure, spatial_velocity, lorentz_factor, magnetic_field): return tilde_d * (lapse * spatial_velocity - shift) def tilde_tau_flux(tilde_d, tilde_tau, tilde_s, tilde_b, tilde_phi, lapse, shift, sqrt_det_spatial_metric, spatial_metric, inv_spatial_metric, pressure, spatial_velocity, lorentz_factor, magnetic_field): b_dot_v_ = b_dot_v(magnetic_field, spatial_velocity, spatial_metric) return ( sqrt_det_spatial_metric * lapse * p_star(pressure, b_dot_v_, b_squared(magnetic_field, spatial_metric), lorentz_factor) * spatial_velocity + tilde_tau * (lapse * spatial_velocity - shift) - lapse * b_dot_v_ * tilde_b) def tilde_s_flux(tilde_d, tilde_tau, tilde_s, tilde_b, tilde_phi, lapse, shift, sqrt_det_spatial_metric, spatial_metric, inv_spatial_metric, pressure, spatial_velocity, lorentz_factor, magnetic_field): b_dot_v_ = b_dot_v(magnetic_field, spatial_velocity, spatial_metric) b_i = (magnetic_field_one_form(magnetic_field, spatial_metric) / lorentz_factor + spatial_velocity_one_form(spatial_velocity, spatial_metric) * lorentz_factor * b_dot_v_) result = np.outer(lapse * spatial_velocity - shift, tilde_s) result -= lapse / lorentz_factor * np.outer(tilde_b, b_i) result += ( sqrt_det_spatial_metric * lapse * p_star(pressure, b_dot_v_, b_squared(magnetic_field, spatial_metric), lorentz_factor) * np.identity(shift.size)) return result def tilde_b_flux(tilde_d, tilde_tau, tilde_s, tilde_b, tilde_phi, lapse, shift, sqrt_det_spatial_metric, spatial_metric, inv_spatial_metric, pressure, spatial_velocity, lorentz_factor, magnetic_field): result = np.outer(lapse * spatial_velocity - shift, tilde_b) result += lapse * inv_spatial_metric * tilde_phi result -= lapse * np.outer(tilde_b, spatial_velocity) return result def tilde_phi_flux(tilde_d, tilde_tau, tilde_s, tilde_b, tilde_phi, lapse, shift, sqrt_det_spatial_metric, spatial_metric, inv_spatial_metric, pressure, spatial_velocity, lorentz_factor, magnetic_field): return lapse * tilde_b - tilde_phi * shift

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null

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null

0

1

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4

2d01b9834c0c4bbc4fdcbaaad5e9900717f88b79

434

py

Python

Desafios 2/m01/ex026.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

Desafios 2/m01/ex026.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

Desafios 2/m01/ex026.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

print('\033[32;1mDESAFIO 26 - Ocorrência de uma String\033[m') print('\033[32;1mALUNO:\033[m \033[36;1mJoaquim Fernandes\033[m') frase = str(input('Digite uma Frase: ')).strip().upper() print(f'A letra \033[33;1mA\033[m aparece {frase.count("A")} vezes na Frase.') print(f'A primeira letra \033[33;1mA\033[m apareceu na Posição {frase.find("A")+1}') print(f'A última letra \033[33;1mA\033[m apareceu na Posição {frase.rfind("A")+1}')

62

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0

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1

0

null

0

1

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4

2d378649879ff1f7f2dce2097557c9db5f809b3d

73

py

Python

tno/mpc/protocols/risk_propagation/test/__init__.py

TNO-MPC/protocols.risk_propagation

097b1d9c056ec1e8ab17a8ae6c08987b641c40ac

[ "Apache-2.0" ]

1

2021-09-05T04:52:13.000Z

tno/mpc/protocols/risk_propagation/test/__init__.py

TNO-MPC/protocols.risk_propagation

097b1d9c056ec1e8ab17a8ae6c08987b641c40ac

[ "Apache-2.0" ]

null

tno/mpc/protocols/risk_propagation/test/__init__.py

TNO-MPC/protocols.risk_propagation

097b1d9c056ec1e8ab17a8ae6c08987b641c40ac

[ "Apache-2.0" ]

null

""" Testing module of the tno.mpc.protocols.risk_propagation library """

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0

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0

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0

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740b03689bc43aae97ed7c5a7718c2493aae8f39

148

py

Python

mapcreator/cli.py

ollivaan/mapcreator

72d38a3cec2102b82f739758f37717bb5a2107da

[ "MIT" ]

null

mapcreator/cli.py

ollivaan/mapcreator

72d38a3cec2102b82f739758f37717bb5a2107da

[ "MIT" ]

null

mapcreator/cli.py

ollivaan/mapcreator

72d38a3cec2102b82f739758f37717bb5a2107da

[ "MIT" ]

null

import click @click.group() def cli(): pass @click.command() def hello(): click.secho('Hello world!', fg='green') cli.add_command(hello)

12.333333

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13.454545

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0.25

true

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1

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null

0

null

0

1

0

4

741f894714f3237ec9c8d05ca269b5a0521a2eb9

90

py

Python

py/20.py

higgsd/euler

340f192ed2831ab9d37df43fe19e39971ef19cf8

[ "BSD-2-Clause" ]

null

py/20.py

higgsd/euler

340f192ed2831ab9d37df43fe19e39971ef19cf8

[ "BSD-2-Clause" ]

null

py/20.py

higgsd/euler

340f192ed2831ab9d37df43fe19e39971ef19cf8

[ "BSD-2-Clause" ]

null

# 648 import euler N = 100 print sum([int(c) for c in str(euler.product(xrange(1,N+1)))])

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1

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4

743e6566d13977fb0fab8bc419748b4b6839cceb

66

py

Python

deeppavlov/deprecated/agents/rich_content/__init__.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

3

2020-04-07T10:16:38.000Z

2021-04-16T01:30:52.000Z

deeppavlov/deprecated/agents/rich_content/__init__.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

11

2020-09-25T22:32:27.000Z

2022-02-10T00:39:45.000Z

deeppavlov/deprecated/agents/rich_content/__init__.py

xbodx/DeepPavlov

4b60bf162df4294b8b0db3b72786cdd699c674fa

[ "Apache-2.0" ]

1

2020-06-02T20:41:31.000Z

from .default_rich_content import Button, ButtonsFrame, PlainText

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4

776d53d2809db93126fbffef36e8e54acbf5659c

40

py

Python

codes/raulcr-p4090-Accepted-s1256049.py

raulcr98/coj-solutions

b8c4d6009869b76a67d7bc1d5328b9bd6bfc33ca

[ "MIT" ]

1

2020-03-17T01:44:21.000Z

codes/raulcr-p4090-Accepted-s1256049.py

raulcr98/coj-solutions

b8c4d6009869b76a67d7bc1d5328b9bd6bfc33ca

[ "MIT" ]

null

codes/raulcr-p4090-Accepted-s1256049.py

raulcr98/coj-solutions

b8c4d6009869b76a67d7bc1d5328b9bd6bfc33ca

[ "MIT" ]

null

a = int(raw_input()) print (3000 - a)

13.333333

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3.142857

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0.129032

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null

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1

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4

7778e0a6d269a496c5ee5f1be88dd9288473cb56

187

py

Python

pycrf/modules/__init__.py

epwalsh/pytorch-crf

561e00ebcfdc678e46cc878c1cb91293539c26b0

[ "MIT" ]

69

2018-08-20T14:57:53.000Z

2022-01-13T04:27:32.000Z

pycrf/modules/__init__.py

epwalsh/pytorch-crf

561e00ebcfdc678e46cc878c1cb91293539c26b0

[ "MIT" ]

54

2018-06-02T16:07:59.000Z

2019-01-03T20:21:52.000Z

pycrf/modules/__init__.py

epwalsh/pytorch-crf

561e00ebcfdc678e46cc878c1cb91293539c26b0

[ "MIT" ]

13

2018-06-02T15:52:53.000Z

2022-01-13T04:29:02.000Z

"""Defines nn module classes for building a model.""" from .char_lstm import CharLSTM from .char_cnn import CharCNN from .lstm_crf import LSTMCRF from .crf import ConditionalRandomField

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null

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1

0

null

0

1

0

1

0

4

77a07495d27719f675458a685d2954f8fb09b182

423

py

Python

collectRecords.py

fsulib/metadataWorkflowResources

b7d3f846d7b4d5fc30321b4b462ad40f6ebdc4d0

[ "MIT" ]

5

2016-01-14T22:50:56.000Z

2017-02-03T19:14:05.000Z

collectRecords.py

fsulib/metadataWorkflowResources

b7d3f846d7b4d5fc30321b4b462ad40f6ebdc4d0

[ "MIT" ]

2

2015-06-09T17:22:27.000Z

2016-02-04T13:48:53.000Z

collectRecords.py

fsulib/metadataWorkflowResources

b7d3f846d7b4d5fc30321b4b462ad40f6ebdc4d0

[ "MIT" ]

null

#!/usr/bin/env python3 import os import shutil import sys import glob path = sys.argv[1] for directory in glob.glob( path + 'FSU*'): if os.path.isdir( directory) == True: # print('MODS/' + directory.split('/')[-1] + '.xml'+ ':' + path + 'MODS/' + directory.split('/')[-1] + '.xml') shutil.copy('MODS/' + directory.split('/')[-1] + '.xml', path + 'MODS/' + directory.split('/')[-1] + '.xml')

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0

null

1

0

null

0

1

0

4

77ac25098c3004e0f9a3a671f0dbb20b66ac1e58

29

py

Python

homeassistant/components/horizon/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/horizon/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/horizon/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The horizon component."""

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1

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null

0

1

0

4

77b86c8bc35e06df44321a2b8b175cc49f81af17

1,833

py

Python

2020/day12/two.py

geberl/advent-of-code

152ac94676830ac920bf06a1a3f1aa88377cd775

[ "MIT" ]

null

2020/day12/two.py

geberl/advent-of-code

152ac94676830ac920bf06a1a3f1aa88377cd775

[ "MIT" ]

null

2020/day12/two.py

geberl/advent-of-code

152ac94676830ac920bf06a1a3f1aa88377cd775

[ "MIT" ]

null

import copy data = [] with open("input.txt") as file_handler: for line in file_handler: data.append(line.strip()) ship_abs_pos = [0, 0] # N/S , W/E wayp_rel_pos = [1, 10] for d in data: instr = d[0] param = int(d[1:]) if instr == "N": wayp_rel_pos[0] = wayp_rel_pos[0] + param elif instr == "S": wayp_rel_pos[0] = wayp_rel_pos[0] - param elif instr == "E": wayp_rel_pos[1] = wayp_rel_pos[1] + param elif instr == "W": wayp_rel_pos[1] = wayp_rel_pos[1] - param elif instr == "L": old_wayp_rel_pos = copy.deepcopy(wayp_rel_pos) if param == 90: wayp_rel_pos[0] = old_wayp_rel_pos[1] * 1 wayp_rel_pos[1] = old_wayp_rel_pos[0] * -1 elif param == 180: wayp_rel_pos[0] = old_wayp_rel_pos[0] * -1 wayp_rel_pos[1] = old_wayp_rel_pos[1] * -1 elif param == 270: wayp_rel_pos[0] = old_wayp_rel_pos[1] * -1 wayp_rel_pos[1] = old_wayp_rel_pos[0] * 1 else: print("error") elif instr == "R": old_wayp_rel_pos = copy.deepcopy(wayp_rel_pos) if param == 90: wayp_rel_pos[0] = old_wayp_rel_pos[1] * -1 wayp_rel_pos[1] = old_wayp_rel_pos[0] * 1 elif param == 180: wayp_rel_pos[0] = old_wayp_rel_pos[0] * -1 wayp_rel_pos[1] = old_wayp_rel_pos[1] * -1 elif param == 270: wayp_rel_pos[0] = old_wayp_rel_pos[1] * 1 wayp_rel_pos[1] = old_wayp_rel_pos[0] * -1 else: print("error") elif instr == "F": ship_abs_pos[0] = ship_abs_pos[0] + param * wayp_rel_pos[0] ship_abs_pos[1] = ship_abs_pos[1] + param * wayp_rel_pos[1] print(ship_abs_pos) print(abs(ship_abs_pos[0]) + abs(ship_abs_pos[1])) # 8266 too low

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