xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

396be9b8e76a36fa6d51ae0f674f69f4c1dcf376

1,217

py

Python

pydouyu/packet_util.py

Kexiii/pydouyu

494732159980b7b71575e6757899c48052c6c2e0

[ "MIT" ]

11

2019-02-22T01:02:32.000Z

2021-12-15T08:50:26.000Z

pydouyu/packet_util.py

Kexiii/pydouyu

494732159980b7b71575e6757899c48052c6c2e0

[ "MIT" ]

2

2020-07-05T01:26:18.000Z

2021-01-07T15:22:57.000Z

pydouyu/packet_util.py

Kexiii/pydouyu

494732159980b7b71575e6757899c48052c6c2e0

[ "MIT" ]

3

2019-04-23T01:22:20.000Z

2021-12-04T09:09:16.000Z

import time client_msg_type = 689 reserved_data_field = 0 def assemble_login_str(room_id): res = "type@=loginreq/roomid@=" + str(room_id) + "/" return res def assemble_join_group_str(room_id): res = "type@=joingroup/rid@=" + str(room_id) + "/gid@=-9999/"; return res def assemble_heartbeat_str(): ...

23.403846

66

0.632703

180

1,217

4.011111

0.327778

0.058172

0.049862

0.083102

0.227147

0.182825

0.108033

0

0.023983

0.211997

1,217

51

67

23.862745

0.728884

0

0.114286

0

0.104613

0.056013

0

1

0.171429

false

0

0.028571

0

0.4

0

null

0

null

0

1

0

396fa59895ef035568d0b517a96fd649c4c2ec84

4,364

py

Python

xyw_macro/win32.py

xue0228/keyboard

dcb0def1d87a9197676c0f405b980a67e128ab24

[ "MIT" ]

null

xyw_macro/win32.py

xue0228/keyboard

dcb0def1d87a9197676c0f405b980a67e128ab24

[ "MIT" ]

null

xyw_macro/win32.py

xue0228/keyboard

dcb0def1d87a9197676c0f405b980a67e128ab24

[ "MIT" ]

null

import ctypes from ctypes import wintypes, windll import win32api import win32con import win32gui # PUL = ctypes.POINTER(ctypes.c_ulong) PUL = ctypes.c_void_p class KeyBdMsg(ctypes.Structure): """ 键盘回调函数用结构体 """ _fields_ = [ ('vkCode', wintypes.DWORD), ('scanCode', wintypes.DWORD), ...

21.82

68

0.632676

441

4,364

6.138322

0.362812

0.051718

0.035464

0.026598

0.192833

0.167713

0.147765

0

0.048145

0.25275

4,364

199

69

21.929648

0.781969

0.060266

0

0.214286

0

0.033325

0

0.028063

0

1

0.02381

false

0

0.039683

0

0.357143

0

null

0

null

0

1

0

3975e522eae96a6443ccb6146ef3bb31b2d6df06

1,320

py

Python

examples/bruker_processed_1d/bruker_processed_1d.py

genematx/nmrglue

8a24cf6cbd18451e552fc0673b84c42d1dcb69a2

[ "BSD-3-Clause" ]

150

2015-01-16T12:24:13.000Z

2022-03-03T18:01:18.000Z

examples/bruker_processed_1d/bruker_processed_1d.py

genematx/nmrglue

8a24cf6cbd18451e552fc0673b84c42d1dcb69a2

[ "BSD-3-Clause" ]

129

2015-01-13T04:58:56.000Z

2022-03-02T13:39:16.000Z

examples/bruker_processed_1d/bruker_processed_1d.py

genematx/nmrglue

8a24cf6cbd18451e552fc0673b84c42d1dcb69a2

[ "BSD-3-Clause" ]

88

2015-02-16T20:04:12.000Z

2022-03-10T06:50:30.000Z

#! /usr/bin/env python """ Compare bruker read_pdata to read. """ import nmrglue as ng import matplotlib.pyplot as plt # read in the data data_dir = "data/bruker_exp/1/pdata/1" # From pre-procced data. dic, data = ng.bruker.read_pdata(data_dir, scale_data=True) udic = ng.bruker.guess_udic(dic, data) uc = ng.fileiob...

28.085106

71

0.712121

225

1,320

4.044444

0.413333

0.053846

0.072527

0.098901

0.048352

0

0.042266

0.157576

1,320

46

72

28.695652

0.776079

0.258333

0

0.117954

0.026096

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

397645cb5f3148b59ab74fb77253d9299c79d101

4,404

py

Python

tests/unit/test_posts_get_logic.py

claranet-ch/aws-sam-application-template-python

b835ef9295e4820110fd53f50619e4fea7493155

[ "CC-BY-4.0" ]

null

tests/unit/test_posts_get_logic.py

claranet-ch/aws-sam-application-template-python

b835ef9295e4820110fd53f50619e4fea7493155

[ "CC-BY-4.0" ]

null

tests/unit/test_posts_get_logic.py

claranet-ch/aws-sam-application-template-python

b835ef9295e4820110fd53f50619e4fea7493155

[ "CC-BY-4.0" ]

null

import io import os import unittest import boto3 from botocore.response import StreamingBody from botocore.stub import Stubber from functions.posts_get.posts_get_logic import posts_get_logic class GetSomethingLogicTest(unittest.TestCase): def setUp(self): # https://docs.python.org/3/library/unittest.htm...

35.516129

84

0.449818

378

4,404

4.89418

0.246032

0.048649

0.073514

0.045405

0.482162

0.322162

0

0.026123

0.287239

4,404

123

85

35.804878

0.563237

0.258401

0

0.233333

0

0.112719

0.018479

0

0.033333

1

0.044444

false

0.011111

0.077778

0.011111

0.144444

0

null

0

null

0

1

0

3978056ea17d8290a8897ffe9ef1bc60af963d5f

21,050

py

Python

firepy/model/geometry.py

KBeno/firefly-lca

a081b05f5d66951792bd00d2bb6ae1f8e43235e0

[ "MIT" ]

3

2020-06-16T13:39:31.000Z

2022-01-10T09:34:52.000Z

firepy/model/geometry.py

KBeno/boblica

a081b05f5d66951792bd00d2bb6ae1f8e43235e0

[ "MIT" ]

null

firepy/model/geometry.py

KBeno/boblica

a081b05f5d66951792bd00d2bb6ae1f8e43235e0

[ "MIT" ]

null

from typing import Union, List import copy import math import numpy as np """ Principles: - geometry objects are defined by the minimum required information - Points are made of coordinates (floats), everything else is based on Points except for Vectors """ class Point: def __init__(self, x: float, y: float, ...

34.850993

113

0.526366

2,703

21,050

3.990381

0.120607

0.024476

0.016874

0.018543

0.409605

0.325515

0.287595

0.251622

0.230113

0.226034

0

0.021504

0.346081

21,050

603

114

34.908789

0.762005

0.125226

0

0.368675

0

0.009639

0.031854

0

0.001658

0

1

0.166265

false

0

0.009639

0.086747

0.385542

0.062651

0

null

0

null

0

1

0

3978db58ab61262a3273d3565d293223c2d9c041

556

py

Python

danmu/log.py

awesome-archive/danmu

2f4e943d859cecd31b289e21984e35a34515b71f

[ "WTFPL" ]

null

danmu/log.py

awesome-archive/danmu

2f4e943d859cecd31b289e21984e35a34515b71f

[ "WTFPL" ]

null

danmu/log.py

awesome-archive/danmu

2f4e943d859cecd31b289e21984e35a34515b71f

[ "WTFPL" ]

null

import os, logging if not os.path.exists('config'): os.mkdir('config') log = logging.getLogger('danmu') log.setLevel(logging.DEBUG) fileHandler = logging.FileHandler(os.path.join('config', 'run.log'), encoding = 'utf8') fileHandler.setLevel(logging.DEBUG) formatter = logging.Formatter('%(asctime)-17s <%(message...

34.75

101

0.690647

74

556

5.081081

0.527027

0.031915

0.106383

0

0.006148

0.122302

556

15

102

37.066667

0.764344

0

0.076923

0.275416

0.044362

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

3978e2b002dc50ec5e34788e51f2d661aefcb01f

2,016

py

Python

vector_env_comparison.py

neuroevolution-ai/NaturalNets-PerformanceTests

de7d99424cc9ab29fdc3691c12d20d0a35afe0fe

[ "MIT" ]

null

vector_env_comparison.py

neuroevolution-ai/NaturalNets-PerformanceTests

de7d99424cc9ab29fdc3691c12d20d0a35afe0fe

[ "MIT" ]

1

2021-02-13T18:55:40.000Z

vector_env_comparison.py

neuroevolution-ai/NaturalNets-PerformanceTests

de7d99424cc9ab29fdc3691c12d20d0a35afe0fe

[ "MIT" ]

null

import multiprocessing import time import gym import gym3 import numpy as np from gym.vector import make as make_vec_env from procgen import ProcgenGym3Env population_size = 112 number_env_steps = 1000 def run_episode_full(u): env = gym.make('procgen:procgen-heist-v0') obs = env.reset() reward = 0 ...

22.651685

98

0.671627

282

2,016

4.553191

0.280142

0.076324

0.043614

0.037383

0.464953

0.32866

0.264798

0.242991

0

0.016383

0.212798

2,016

88

99

22.909091

0.792691

0.032738

0

0.346154

0

0.086331

0.024666

0

0.019231

1

0.076923

false

0

0.134615

0

0.269231

0.057692

0

null

0

null

0

1

0

397b7ca45c3f9235af0d2fa52c9c29634429cebe

1,641

py

Python

raiden_api/model/requests.py

kelsos/test-enviroment-scripts

ab8d9f1e9a1deed048dcc93ec9d014bf6b58252d

[ "MIT" ]

1

2019-03-28T00:24:48.000Z

raiden_api/model/requests.py

kelsos/test-enviroment-scripts

ab8d9f1e9a1deed048dcc93ec9d014bf6b58252d

[ "MIT" ]

4

2019-03-26T15:27:20.000Z

2019-04-29T10:46:08.000Z

raiden_api/model/requests.py

kelsos/test-enviroment-scripts

ab8d9f1e9a1deed048dcc93ec9d014bf6b58252d

[ "MIT" ]

2

2019-03-26T14:27:24.000Z

2019-03-29T10:28:40.000Z

import time import typing class PaymentRequest: def __init__(self, amount: int, identifier: int = None): self.amount = amount self.identifier = identifier if identifier is None: self.identifier = int(time.time()) def to_dict(self) -> typing.Dict[str, typing.Any]: ...

26.467742

69

0.597806

178

1,641

5.280899

0.191011

0.140426

0.102128

0.080851

0.281915

0.198936

0.130851

0

0.002648

0.309567

1,641

61

70

26.901639

0.827008

0

0.217391

0

0.057892

0

0.021739

1

0.130435

false

0

0.043478

0

0.304348

0

null

0

null

0

1

0

397c69961dfa90f232f4ac9c29a73bc3e9510c76

823

py

Python

Dynamic/KnapNoRep.py

mladuke/Algorithms

eab5d89c5f496b2849f0646dbfa3a4db93a0b391

[ "MIT" ]

null

Dynamic/KnapNoRep.py

mladuke/Algorithms

eab5d89c5f496b2849f0646dbfa3a4db93a0b391

[ "MIT" ]

null

Dynamic/KnapNoRep.py

mladuke/Algorithms

eab5d89c5f496b2849f0646dbfa3a4db93a0b391

[ "MIT" ]

null

def zeroOneKnapsack(v, w, W): c = [] n = len(v) c = [[0 for x in range(W+1)] for x in range(n)] for i in range(0,n): for j in range(0,W+1): if (w[i] > j): c[i][j] = c[i-1][j] else: c[i][j] = max(c[i-1][j],v[i] +c[i-1][j-w[i]]) retur...

24.939394

90

0.509113

160

823

2.61875

0.3

0.042959

0.02864

0

0.060403

0.27582

823

33

91

24.939394

0.642617

0.106926

0

1

0.074074

false

0

0.148148

0.037037

0

null

0

null

0

1

0

397e9f0c2652f385de08911a9951e3eb07c5c86a

874

py

Python

tools/one-offs/convert-genres.py

DrDos0016/z2

b63e77129fefcb4f990ee1cb9952f4f708ee3a2b

[ "MIT" ]

3

2017-05-01T19:53:57.000Z

2018-08-27T20:14:43.000Z

tools/one-offs/convert-genres.py

DrDos0016/z2

b63e77129fefcb4f990ee1cb9952f4f708ee3a2b

[ "MIT" ]

null

tools/one-offs/convert-genres.py

DrDos0016/z2

b63e77129fefcb4f990ee1cb9952f4f708ee3a2b

[ "MIT" ]

1

2018-08-27T20:14:46.000Z

import os import sys import django sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) os.environ.setdefault("DJANGO_SETTINGS_MODULE", "museum.settings") django.setup() from django.contrib.auth.models import User # noqa: E402 from museum_site.models import * # noqa: E402 def main(): ...

23.621622

98

0.639588

127

874

4.251969

0.519685

0.033333

0.048148

0.055556

0.125926

0

0.00885

0.224256

874

36

99

24.277778

0.787611

0.024027

0

0.190588

0.025882

0

1

0.041667

false

0

0.208333

0

0.291667

0.125

0

null

0

null

0

1

0

397ee9d80cbe93ca71977088ed64acae351304fd

553

py

Python

python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 04/ch04_rec03_plot_with_table.py

flyingwjw/Documentation

567608f388ca369b864c2d75a94647801b5dfa1e

[ "Unlicense" ]

26

2016-08-25T01:33:36.000Z

2022-03-20T11:33:31.000Z

python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 04/ch04_rec03_plot_with_table.py

flyingwjw/Documentation

567608f388ca369b864c2d75a94647801b5dfa1e

[ "Unlicense" ]

null

python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 04/ch04_rec03_plot_with_table.py

flyingwjw/Documentation

567608f388ca369b864c2d75a94647801b5dfa1e

[ "Unlicense" ]

31

2016-08-16T15:32:46.000Z

2021-01-26T19:16:48.000Z

import matplotlib.pylab as plt import numpy as np plt.figure() axes=plt.gca() y= np.random.randn(9) col_labels=['col1','col2','col3'] row_labels=['row1','row2','row3'] table_vals=[[11,12,13],[21,22,23],[28,29,30]] row_colors=['red','gold','green'] the_table = plt.table(cellText=table_vals, colWidth...

24.043478

45

0.593128

82

553

3.890244

0.695122

0.056426

0

0.077103

0.22604

553

23

46

24.043478

0.668224

0

0.104693

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

3982bd3c6134c4bd9c5526d9392f74c9c724e7ab

556

py

Python

makahiki/apps/widgets/energy_power_meter/views.py

justinslee/Wai-Not-Makahiki

4b7dd685012ec64758affe0ecee3103596d16aa7

[ "MIT" ]

1

2015-07-22T11:31:20.000Z

makahiki/apps/widgets/energy_power_meter/views.py

justinslee/Wai-Not-Makahiki

4b7dd685012ec64758affe0ecee3103596d16aa7

[ "MIT" ]

null

makahiki/apps/widgets/energy_power_meter/views.py

justinslee/Wai-Not-Makahiki

4b7dd685012ec64758affe0ecee3103596d16aa7

[ "MIT" ]

null

"""Handle rendering of the Energy Power Meter widget.""" from apps.widgets.resource_goal import resource_goal def supply(request, page_name): """Return the view_objects content, which in this case is empty.""" _ = page_name team = request.user.get_profile().team if team: interval = resource_...

26.47619

91

0.645683

67

556

5.179104

0.641791

0.103746

0

0.014528

0.257194

556

20

92

27.8

0.825666

0.201439

0

0.057737

0

1

0.071429

false

0

0.071429

0

0.214286

0

null

0

null

0

1

0

3983bdef6c20e9a6ac20cbeb01a996a5e1766f34

4,855

py

Python

hkpy/hkpyo/reasoners/simple_reasoner.py

renan-souza/hkpy

1fdcd3da3520e876f95295bf6d15e40581b2bb49

[ "MIT" ]

7

2019-12-23T17:59:36.000Z

2022-02-17T19:35:32.000Z

hkpy/hkpyo/reasoners/simple_reasoner.py

renan-souza/hkpy

1fdcd3da3520e876f95295bf6d15e40581b2bb49

[ "MIT" ]

9

2019-12-30T13:34:41.000Z

2021-07-16T22:46:06.000Z

hkpy/hkpyo/reasoners/simple_reasoner.py

renan-souza/hkpy

1fdcd3da3520e876f95295bf6d15e40581b2bb49

[ "MIT" ]

2

2020-03-14T21:34:02.000Z

2021-06-12T00:10:43.000Z

### # Copyright (c) 2019-present, IBM Research # Licensed under The MIT License [see LICENSE for details] ### from collections import defaultdict from hkpy.hkpyo.model import HKOContext, HKOContextManager, HKOConcept, HKOSubConceptAxiom, HKOConjunctionExpression, \ HKODisjunctionExpression, HKOConceptAssertion, H...

45.801887

119

0.65829

532

4,855

5.827068

0.231203

0.052258

0.030645

0.019355

0.331613

0.196452

0.189032

0.153548

0.114839

0

0.007684

0.249434

4,855

105

120

46.238095

0.84303

0.073944

0

0.166667

0

0.040197

0.011612

0

0.009524

0.263889

1

0.152778

false

0

0.027778

0.055556

0.333333

0.027778

0

null

0

null

0

1

0

3985a0d08f66c16279006e5cf92a0a215003522a

8,031

py

Python

prediction-experiments/python-nb/ov-predict/src/api/model_loader.py

ouyangzhiping/Info-extract

d8a7ca47201dad4d28b9b96861b0b1b3fc27c63a

[ "Apache-2.0" ]

15

2019-02-25T09:53:37.000Z

2022-03-22T05:13:24.000Z

prediction-experiments/python-nb/ov-predict/src/api/model_loader.py

ouyangzhiping/Info-extract

d8a7ca47201dad4d28b9b96861b0b1b3fc27c63a

[ "Apache-2.0" ]

8

2019-06-12T10:14:58.000Z

2021-08-15T08:04:10.000Z

prediction-experiments/python-nb/ov-predict/src/api/model_loader.py

ouyangzhiping/Info-extract

d8a7ca47201dad4d28b9b96861b0b1b3fc27c63a

[ "Apache-2.0" ]

1

2022-03-15T16:45:35.000Z

import sys import numpy as np import os import requests import json import logging from json import JSONEncoder from keras.models import model_from_json sys.path.append('..') from preprocessing.InputHelper import InputHelper from model.lstm import rmse from model.lstm import buildModel from keras.preprocessing.sequenc...

32.383065

115

0.707757

1,051

8,031

5.160799

0.258801

0.02323

0.028392

0.02323

0.279314

0.196165

0.151917

0.126844

0.106195

0.070059

0

0.013805

0.197236

8,031

247

116

32.51417

0.827517

0.119786

0

0.074074

0

0.071808

0.013787

0

1

0.111111

false

0

0.074074

0.006173

0.320988

0.055556

0

null

0

null

0

1

0

3986fe60405cf4775e3e7c28b77f8afe1fba2cf3

599

py

Python

tests/test_fails.py

Alviner/wsrpc-aiohttp

12387f68b74587e52ae4b10f28892dbbb2afc32f

[ "MIT" ]

null

tests/test_fails.py

Alviner/wsrpc-aiohttp

12387f68b74587e52ae4b10f28892dbbb2afc32f

[ "MIT" ]

null

tests/test_fails.py

Alviner/wsrpc-aiohttp

12387f68b74587e52ae4b10f28892dbbb2afc32f

[ "MIT" ]

null

from aiohttp import ClientConnectionError from wsrpc_aiohttp.testing import BaseTestCase, async_timeout class TestDisconnect(BaseTestCase): @async_timeout async def test_call_error(self): class DataStore: def get_data(self, _): return 1000 self.WebSocketHandler.add...

28.52381

73

0.689482

66

599

6.045455

0.575758

0.070175

0.120301

0

0.008811

0.24207

599

20

74

29.95

0.870044

0.076795

0

0.029038

0

0.076923

1

0.076923

false

0

0.153846

0.076923

0.461538

0

null

0

null

0

1

0

398a3a700f8b78eced80ede2546a27f9c162d1aa

2,325

py

Python

devops/python/issuebot/applog.py

simahao/lily

c22ec37cb02374e94b41822eccc5e6d6aa7d0d25

[ "MIT" ]

4

2020-11-16T06:24:19.000Z

2021-05-19T02:10:01.000Z

devops/python/issuebot/applog.py

simahao/lily

c22ec37cb02374e94b41822eccc5e6d6aa7d0d25

[ "MIT" ]

5

2021-05-05T14:17:27.000Z

2021-09-30T08:47:23.000Z

devops/python/issuebot/applog.py

simahao/lily

c22ec37cb02374e94b41822eccc5e6d6aa7d0d25

[ "MIT" ]

3

2021-02-22T01:38:49.000Z

2021-06-03T08:52:37.000Z

import logging import logging.config import os LOG_DIR = os.path.dirname(os.path.abspath(__file__)) log_config = { 'version': 1, 'formatters': { 'verbose': { 'class': 'logging.Formatter', 'format': '%(asctime)s [%(name)s] %(levelname)-8s %(pathname)s:%(lineno)d - %(message)s', ...

29.43038

101

0.455054

202

2,325

5.188119

0.366337

0.080153

0.064886

0.409351

0.320611

0.240458

0.156489

0

0.010804

0.363011

2,325

78

102

29.807692

0.696826

0.075699

0

0.373333

0

0.013333

0.3863

0.037279

0

1

0

false

0

0.04

0

0.04

0

null

0

null

0

1

0

398d56540cd3fb4efa42ef33aee42fa70cf89afe

3,024

py

Python

datasets/thuc_news/thuc_news.py

jhxu-org/datasets

e78e81ff2aec2928506a42c3312799acd6c5e807

[ "Apache-2.0" ]

null

datasets/thuc_news/thuc_news.py

jhxu-org/datasets

e78e81ff2aec2928506a42c3312799acd6c5e807

[ "Apache-2.0" ]

null

datasets/thuc_news/thuc_news.py

jhxu-org/datasets

e78e81ff2aec2928506a42c3312799acd6c5e807

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors. # # 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/LI...

33.977528

114

0.638889

354

3,024

5.350282

0.607345

0.031679

0.013728

0.016895

0.083421

0.042239

0

0.01486

0.243386

3,024

88

115

34.363636

0.812937

0.276786

0

0.145455

0

0.309192

0.148097

0

1

0.054545

false

0

0.072727

0.018182

0.181818

0.018182

0

null

0

null

0

1

0

3990560a6bff336fd21ff88b51780152f5105716

1,215

py

Python

mundo3/ex115/lib/arquivo/__init__.py

dilsonm/CeV

8043be36b2da187065691d23ed5cb40fd65f806f

[ "MIT" ]

null

mundo3/ex115/lib/arquivo/__init__.py

dilsonm/CeV

8043be36b2da187065691d23ed5cb40fd65f806f

[ "MIT" ]

null

mundo3/ex115/lib/arquivo/__init__.py

dilsonm/CeV

8043be36b2da187065691d23ed5cb40fd65f806f

[ "MIT" ]

null

from lib.interface import cabecalho def arquivoExiste(arq): try: a = open(arq, 'rt') a.close() except FileNotFoundError: return False else: return True def criarArquivo(arq): try: a = open(arq, 'wt+') a.close() except: print('Houve um erro ...

23.365385

57

0.516872

148

1,215

4.243243

0.472973

0.031847

0.050955

0.070064

0.191083

0.127389

0

0.017391

0.337449

1,215

52

58

23.365385

0.762733

0.046091

0

0.465116

0

0.244598

0

1

0.093023

false

0

0.023256

0

0.162791

0

null

0

null

0

1

0

39965ea3888f463b999a6106ce07def8d9adf4ac

4,010

py

Python

carts/views.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

null

carts/views.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

9

2020-01-10T14:10:02.000Z

2022-03-12T00:08:19.000Z

carts/views.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

null

from django.core.exceptions import ObjectDoesNotExist from django.shortcuts import render, redirect, get_object_or_404 from designs import models as design_models from feet import models as foot_models from products import models as product_models from .models import Cart, CartItem # 現在のセッション宛にカートを生成するための関数 def _sess...

33.983051

86

0.672319

453

4,010

5.724062

0.19426

0.074046

0.045893

0.046278

0.468955

0.457771

0.395681

0.344774

0.215195

0.178172

0

0.005502

0.229426

4,010

117

87

34.273504

0.833657

0.106733

0

0.304878

0

0.056417

0

1

0.060976

false

0.012195

0.073171

0

0.195122

0

null

0

null

0

1

0

3996a072b5270c64e9a774f3c2758ba1336ec30d

13,515

py

Python

deploy.py

j-benson/Deploy

9fb2bd1c383949521967a672ac76fcdcaced503f

[ "MIT" ]

null

deploy.py

j-benson/Deploy

9fb2bd1c383949521967a672ac76fcdcaced503f

[ "MIT" ]

null

deploy.py

j-benson/Deploy

9fb2bd1c383949521967a672ac76fcdcaced503f

[ "MIT" ]

null

""" Script to deploy a website to the server by ftp. - Compares local directory with remote directory - Updates modified files - Adds new files - Optionally, removes deleted files from remote Requires: python 3.3+ Due to use of ftplib.mlsd() The MIT License (...

35.565789

129

0.592379

1,547

13,515

5.117001

0.238526

0.012633

0.010611

0.010106

0.206417

0.178247

0.136306

0.119378

0.081481

0.071627

0

0.003881

0.275472

13,515

379

130

35.659631

0.804534

0.207547

0

0.251773

0

0.080228

0.011181

0

0.007916

0

1

0.113475

false

0.014184

0.202128

0.120567

0

null

0

null

0

1

0

3997e398937ee03af443d926f755e2d9046ee9c6

1,740

py

Python

wataru/commands/models/project.py

risuoku/wataru

63be36d15454abd0636f67eaf1e80728b8c5a9bd

[ "MIT" ]

null

wataru/commands/models/project.py

risuoku/wataru

63be36d15454abd0636f67eaf1e80728b8c5a9bd

[ "MIT" ]

null

wataru/commands/models/project.py

risuoku/wataru

63be36d15454abd0636f67eaf1e80728b8c5a9bd

[ "MIT" ]

null

from wataru.commands.models.base import CommandBase from wataru.logging import getLogger import wataru.rules.models as rmodels import os import sys logger = getLogger(__name__) class Create(CommandBase): def apply_arguments(self, parser): parser.add_argument('--name', action='store', dest='projectname')...

32.222222

114

0.65977

202

1,740

5.574257

0.391089

0.044405

0.060391

0.05595

0.042629

0

0.237356

1,740

53

115

32.830189

0.848531

0.064368

0

0.090741

0

1

0.088235

false

0.029412

0.235294

0

0.352941

0

null

0

null

0

1

0

3998894acc2c2f5b50a8cd1451c55bffb80880f7

2,914

py

Python

UnityExamples/Assets/StreamingAssets/Python/BlockLibraries/UnityExamples/FingerTrace.py

6henrykim/UnityExamples

3d4d782e6e67fee1ede902998c2df1b5b90b074a

[ "Apache-2.0" ]

9

2020-04-02T10:33:37.000Z

2021-12-03T17:14:40.000Z

UnityExamples/Assets/StreamingAssets/Python/BlockLibraries/UnityExamples/FingerTrace.py

ultrahaptics/UnityExamples

3d4d782e6e67fee1ede902998c2df1b5b90b074a

[ "Apache-2.0" ]

2

2019-11-06T10:37:18.000Z

2021-09-20T14:31:13.000Z

UnityExamples/Assets/StreamingAssets/Python/BlockLibraries/UnityExamples/FingerTrace.py

ultrahaptics/UnityExamples

3d4d782e6e67fee1ede902998c2df1b5b90b074a

[ "Apache-2.0" ]

1

2022-02-25T16:38:52.000Z

# A Sensation which creates a Polyline of 35 points of the finger joints, along which a Circle Path is animated. from pysensationcore import * import sensation_helpers as sh import HandOperations # We will use the joint positions of the fingers to animate a Circle along a PolylinePath fingers = ["thumb", "indexFinger"...

42.231884

112

0.710707

306

2,914

6.745098

0.411765

0.010659

0.03876

0.024709

0

0.01302

0.18291

2,914

69

113

42.231884

0.853843

0.217914

0

0.159171

0

1

0

false

0

0.069767

0

0.069767

0

null

0

null

0

1

0

3998e8576c81d8620613973a3fcb28ca0f349137

2,053

py

Python

scripts/extarct_from_videos.py

corenel/yt8m-feature-extractor

3f658749fd365478f1f26daa78b3e7b8d4844047

[ "MIT" ]

18

2017-09-12T07:02:28.000Z

2021-06-07T13:38:51.000Z

scripts/extarct_from_videos.py

corenel/yt8m-feature-extractor

3f658749fd365478f1f26daa78b3e7b8d4844047

[ "MIT" ]

1

2017-10-19T13:51:41.000Z

2017-12-30T08:49:08.000Z

scripts/extarct_from_videos.py

corenel/yt8m-feature-extractor

3f658749fd365478f1f26daa78b3e7b8d4844047

[ "MIT" ]

3

2017-09-07T07:07:22.000Z

2018-09-18T15:49:29.000Z

"""Extract inception_v3_feats from videos for Youtube-8M feature extractor.""" import os import torch import init_path import misc.config as cfg from misc.utils import (concat_feat_var, get_dataloader, make_cuda, make_variable) from models import inception_v3 if __name__ == '__main__': #...

40.254902

78

0.560156

234

2,053

4.688034

0.350427

0.080219

0.072926

0.05196

0.147675

0.096627

0.067457

0

0.008929

0.345348

2,053

50

79

41.06

0.807292

0.146128

0

0.049397

0

1

0

false

0

0.171429

0

0.171429

0.114286

0

null

0

null

0

1

0

399fd36bf8e08b05046794370fe69a0ebbb1e2b1

4,208

py

Python

wc_rules/simulator/simulator.py

KarrLab/wc_rules

5c6d8ec7f3152f2d234107d6fec3e2bc8d9ff518

[ "MIT" ]

5

2018-12-24T16:20:27.000Z

2022-02-12T23:07:42.000Z

wc_rules/simulator/simulator.py

KarrLab/wc_rules

5c6d8ec7f3152f2d234107d6fec3e2bc8d9ff518

[ "MIT" ]

7

2019-01-14T23:08:52.000Z

2021-06-03T02:38:43.000Z

wc_rules/simulator/simulator.py

KarrLab/wc_rules

5c6d8ec7f3152f2d234107d6fec3e2bc8d9ff518

[ "MIT" ]

3

2018-12-15T00:51:56.000Z

2020-04-29T14:12:34.000Z

from collections import deque from ..utils.collections import DictLike from ..matcher.core import ReteNet from ..matcher.actions import make_node_token, make_edge_token, make_attr_token from .sampler import NextReactionMethod class SimulationState: def __init__(self,nodes=[],**kwargs): self.cache = DictLike(nodes)...

34.491803

140

0.736217

617

4,208

4.810373

0.247974

0.030323

0.015162

0.153976

0.145553

0.083558

0.061995

0

0.006623

0.138783

4,208

121

141

34.77686

0.812362

0.088403

0

0.226804

0

0.04341

0

1

0.113402

false

0

0.051546

0.010309

0.319588

0.030928

0

null

0

null

0

1

0

39a16a05ac36a9db042c0bce00dc04a5a657ef37

1,370

py

Python

__private__/temp_dev/testshapefile.py

karimbahgat/PyA

4d62a0850ba1dca93f7362ef23e18a13938fce4f

[ "MIT" ]

16

2016-02-26T15:24:28.000Z

2021-06-16T21:00:22.000Z

__private__/temp_dev/testshapefile.py

karimbahgat/PyA

4d62a0850ba1dca93f7362ef23e18a13938fce4f

[ "MIT" ]

5

2016-02-27T20:13:26.000Z

2018-09-12T23:08:36.000Z

__private__/temp_dev/testshapefile.py

karimbahgat/PyA

4d62a0850ba1dca93f7362ef23e18a13938fce4f

[ "MIT" ]

7

2015-07-08T12:51:57.000Z

2019-12-05T19:07:27.000Z

import Tkinter as tk from PIL import Image, ImageTk import aggdraw window = tk.Tk() label = tk.Label(window) label.pack() # schedule changing images import itertools, random, time def agg2tkimg(aggimage): t = time.clock() img = aggimage colorlength = len(img.mode) width,height = img.size imgb...

22.096774

98

0.674453

197

1,370

4.598985

0.451777

0.030905

0.02649

0.036424

0.043046

0

0.030603

0.189051

1,370

61

99

22.459016

0.784878

0.059124

0

0.052426

0.018779

0

1

0.111111

false

0

0.138889

0

0.305556

0

null

0

null

0

1

0

39a902062ca7512880d1818276ec6c8f4ed11b57

693

py

Python

aoc10.py

roscroft/aoc-2020

3f37f6b29ec66bac5610bccd6de5ebb000bde312

[ "MIT" ]

1

2020-12-07T22:16:17.000Z

aoc10.py

roscroft/aoc-2020

3f37f6b29ec66bac5610bccd6de5ebb000bde312

[ "MIT" ]

null

aoc10.py

roscroft/aoc-2020

3f37f6b29ec66bac5610bccd6de5ebb000bde312

[ "MIT" ]

null

from utils import utils def part_1(data): count_1 = sum([1 if data[i] - data[i-1] == 1 else 0 for i in range(len(data))]) count_3 = sum([1 if data[i] - data[i-1] == 3 else 0 for i in range(len(data))]) return count_1*count_3 def part_2(data): dynm = [1] + [0]*(len(data)-1) for i in range(1, len(da...

34.65

90

0.588745

134

693

2.895522

0.268657

0.07732

0.054124

0.085052

0.237113

0.206186

0

0.059369

0.222222

693

20

91

34.65

0.660482

0

0.132565

0.0317

0

1

0.117647

false

0

0.058824

0

0.294118

0.117647

0

null

0

null

0

1

0

39ac7cdc9dcc48e4f5e6e8db36ab648730a99cc2

20,366

py

Python

source/python/brick_characterizer/CellRiseFall_Char.py

electronicvisions/brick

9ad14f9d2912e70191f4711f359e3912c8cef837

[ "BSD-3-Clause" ]

1

2016-08-02T15:23:16.000Z

source/python/brick_characterizer/CellRiseFall_Char.py

ahartel/brick

9ad14f9d2912e70191f4711f359e3912c8cef837

[ "BSD-3-Clause" ]

null

source/python/brick_characterizer/CellRiseFall_Char.py

ahartel/brick

9ad14f9d2912e70191f4711f359e3912c8cef837

[ "BSD-3-Clause" ]

1

2016-05-27T21:22:14.000Z

from timingsignal import TimingSignal from brick_characterizer.CharBase import CharBase class CellRiseFall_Char(CharBase): def __init__(self,toplevel,output_filename,temperature,use_spectre=False): self.toplevel = toplevel self.output_filename = output_filename self.load_capacitance = 0...

50.78803

402

0.584847

2,670

20,366

4.225843

0.096255

0.052114

0.043783

0.045378

0.612958

0.576708

0.533014

0.519188

0.500842

0.497917

0

0.022716

0.299666

20,366

400

403

50.915

0.768352

0.09781

0

0.293478

0

0.087285

0.007566

0

1

0.07971

false

0

0.018116

0.028986

0.181159

0.025362

0

null

0

null

0

1

0

39aefe4ed5c77eadc14e52071c40e7bf0197d590

332

py

Python

covid mail/main.py

rahul263-stack/PROJECT-Dump

d8b1cfe0da8cad9fe2f3bbd427334b979c7d2c09

[ "MIT" ]

1

2020-04-06T04:41:56.000Z

covid mail/main.py

rahul263-stack/quarantine

d8b1cfe0da8cad9fe2f3bbd427334b979c7d2c09

[ "MIT" ]

null

covid mail/main.py

rahul263-stack/quarantine

d8b1cfe0da8cad9fe2f3bbd427334b979c7d2c09

[ "MIT" ]

null

import os from sendDetailedEmail.email import MailAttachment def sendMail(clientEmail): try: sender = MailAttachment(clientEmail=clientEmail) sender.send() except Exception as e: raise e if __name__=="__main__": clientEmail = input("input a valid client email ID: ") sendMail(c...

22.133333

58

0.698795

36

332

6.222222

0.694444

0.169643

0

0.222892

332

14

59

23.714286

0.868217

0

0.11747

0

1

0.090909

false

0

0.181818

0

0.272727

0

null

0

null

0

1

0

39af2956611d454e6abd79bee5b3ec4243b86cd1

2,933

py

Python

pyodide_importer/api.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

1

2021-11-16T11:55:54.000Z

pyodide_importer/api.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

null

pyodide_importer/api.py

ryanking13/pyodide-importer

fb9f83e54eb307fcdb2590588f0b75db1c87ca97

[ "MIT" ]

null

from contextlib import contextmanager import pathlib import sys from typing import Union, List from .import_hook import PyFinder, PyHTTPFinder # Singleton instance of PyFinder pyfinder: PyFinder = None def _update_syspath(path: str): """ Append `path` to sys.path so that files in path can be imported """...

31.880435

142

0.699284

398

2,933

5.080402

0.30402

0.029674

0.032146

0.03363

0.21365

0.203264

0.147379

0.120673

0

0.001323

0.22673

2,933

91

143

32.230769

0.890212

0.453461

0

0.195122

0

0.02439

0.126102

0

1

0.121951

false

0

0.195122

0

0.365854

0

null

0

null

0

1

0

39af8dcb80c383fcd4bfdd52b3cd4d36dce1df8f

1,982

py

Python

rastervision/new_version/batch_submit.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

1

2019-11-07T10:02:23.000Z

rastervision/new_version/batch_submit.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

rastervision/new_version/batch_submit.py

carderne/raster-vision

915fbcd3263d8f2193e65c2cd0eb53e050a47a01

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import uuid import click from rastervision.rv_config import RVConfig def _batch_submit(cmd, debug=False, profile=False, attempts=5, parent_job_ids=None, num_array_jobs=None, use_gpu=Fa...

26.783784

79

0.589808

239

1,982

4.60251

0.351464

0.044545

0.038182

0.051818

0.168182

0.107273

0

0.009609

0.264884

1,982

73

80

27.150685

0.745367

0.010595

0

0.167347

0

1

0.034483

false

0

0.068966

0.017241

0.137931

0.034483

0

null

0

null

0

1

0

39b0985dcd907af2111c10e4b763175f9a26f8fe

311

py

Python

app/api/item.py

peterentroprise/entro-tad

b074d4810bcc7fb71b467da8dfaa19be66a41fa2

[ "MIT" ]

null

app/api/item.py

peterentroprise/entro-tad

b074d4810bcc7fb71b467da8dfaa19be66a41fa2

[ "MIT" ]

null

app/api/item.py

peterentroprise/entro-tad

b074d4810bcc7fb71b467da8dfaa19be66a41fa2

[ "MIT" ]

null

from fastapi import APIRouter from models.item_model import Payload from service import item_service router = APIRouter() @router.get("/") async def read_root(): return {"Hello": "Universe"} @router.post("/indexitem") async def index_item(payload: Payload): return item_service.index_item(payload)

19.4375

43

0.752412

41

311

5.560976

0.512195

0.096491

0.140351

0

0.135048

311

16

43

19.4375

0.847584

0

0.07717

0

1

0

false

0

0.3

0

0.5

0

null

0

null

0

1

0

39b1dd9a2298bcc4fe7df8fe5dd5e695bcdaca18

6,867

py

Python

scripts/docker_configurator/docker_configurator.py

PlenusPyramis/dockerfiles

0c1b19faa33e944c66f3762fe49d7f954aa60b12

[ "MIT" ]

1

2020-01-10T16:26:32.000Z

scripts/docker_configurator/docker_configurator.py

PlenusPyramis/dockerfiles

0c1b19faa33e944c66f3762fe49d7f954aa60b12

[ "MIT" ]

null

scripts/docker_configurator/docker_configurator.py

PlenusPyramis/dockerfiles

0c1b19faa33e944c66f3762fe49d7f954aa60b12

[ "MIT" ]

2

2020-02-22T23:25:24.000Z

2020-11-04T05:09:48.000Z

""" Docker Configurator http://www.github.com/EnigmaCurry/docker-configurator This tool creates self-configuring docker containers given a single YAML file. Run this script before your main docker CMD. It will write fresh config files on every startup of the container, based off of Mako templates embedded in the doc...

39.24

114

0.663026

882

6,867

5.049887

0.346939

0.042658

0.013471

0.010777

0.090031

0.055905

0.042434

0.034576

0

0.005821

0.224407

6,867

174

115

39.465517

0.830454

0.447794

0

0.081395

0

0.123228

0

0.011628

1

0.093023

false

0

0.104651

0

0.244186

0.011628

0

null

0

null

0

1

0

39b8f43a4fc39e9ee986451845affe8860e4df82

381

py

Python

setup.py

kervi/kervi-hal-win

adb0d93f63b3ed36fd6527c69dc301a63a30138f

[ "MIT" ]

null

setup.py

kervi/kervi-hal-win

adb0d93f63b3ed36fd6527c69dc301a63a30138f

[ "MIT" ]

null

setup.py

kervi/kervi-hal-win

adb0d93f63b3ed36fd6527c69dc301a63a30138f

[ "MIT" ]

null

import distutils from setuptools import setup try: from kervi.platforms.windows.version import VERSION except: VERSION = "0.0" try: distutils.dir_util.remove_tree("dist") except: pass setup( name='kervi-hal-win', version=VERSION, packages=[ "kervi/platforms/windows", ], in...

15.24

55

0.627297

42

381

5.619048

0.619048

0.118644

0.177966

0

0.007042

0.254593

381

25

56

15.24

0.823944

0

0.285714

0

0.143979

0.060209

0

1

0

false

0.047619

0.142857

0

0.142857

0

null

0

null

0

1

0

39b9562e1c7649e5f232cd655226d45528bdfb68

877

py

Python

examples/minimize_koopman_error.py

kijanac/Materia

b49af518c8eff7d3a8c6caff39783e3daf80a7a0

[ "MIT" ]

null

examples/minimize_koopman_error.py

kijanac/Materia

b49af518c8eff7d3a8c6caff39783e3daf80a7a0

[ "MIT" ]

null

examples/minimize_koopman_error.py

kijanac/Materia

b49af518c8eff7d3a8c6caff39783e3daf80a7a0

[ "MIT" ]

null

import argparse import materia as mtr import dask.distributed if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--qcenv", type=str) parser.add_argument("--scratch", type=str) parser.add_argument("--dask_scratch", type=str) parser.add_argument("--num_evals", type=int...

31.321429

65

0.698974

119

877

4.907563

0.420168

0.042808

0.116438

0.082192

0.14726

0.106164

0

0.159635

877

27

66

32.481481

0.792402

0

0.115165

0.025086

0

1

0

false

0

0.15

0

0.15

0.05

0

null

0

null

0

1

0

39ba8a8ab31258dd5face8cc99e1f8cec294b091

300

py

Python

simple/__init__.py

jbrid867/SIMPLE

56e88c8271c22f7c41bd5d6b148b01e11a9e3713

[ "Apache-2.0" ]

1

2019-01-19T06:44:29.000Z

simple/__init__.py

jbrid867/SIMPLE

56e88c8271c22f7c41bd5d6b148b01e11a9e3713

[ "Apache-2.0" ]

179

2018-10-02T21:07:19.000Z

2020-09-08T17:38:44.000Z

simple/__init__.py

johnbridstrup/simple

56e88c8271c22f7c41bd5d6b148b01e11a9e3713

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Top-level package for simple.""" __author__ = """John Bridstrup""" __email__ = 'john.bridstrup@gmail.com' __version__ = '0.1.8' # import Data # import data_analysis # import kernels # import KMC # import running # import simple # import simulations # import statevector

17.647059

38

0.703333

37

300

5.351351

0.675676

0.131313

0

0.015748

0.153333

300

16

39

18.75

0.76378

0.593333

0

0.398148

0.222222

0

1

0

false

0

null

0

null

0

1

0

39baf90e3f5d1892dbfa7337958aae37f41a76bf

13,482

py

Python

emarket/views.py

MerlinEmris/eBazar

f159314183a8a95afd97d36b0d3d8cf22015a512

[ "MIT" ]

null

emarket/views.py

MerlinEmris/eBazar

f159314183a8a95afd97d36b0d3d8cf22015a512

[ "MIT" ]

null

emarket/views.py

MerlinEmris/eBazar

f159314183a8a95afd97d36b0d3d8cf22015a512

[ "MIT" ]

null

# from traceback import TracebackException from django.contrib.auth.forms import UserCreationForm # from django.contrib.auth.models import User from django.contrib.auth import login, authenticate from django.contrib.auth.decorators import login_required from django.core.paginator import Paginator, EmptyPage, PageNotAn...

34.480818

130

0.641893

1,548

13,482

5.434755

0.156331

0.027814

0.038393

0.046357

0.437418

0.384643

0.333888

0.28872

0.252704

0.17473

0

0.002656

0.246032

13,482

390

131

34.569231

0.824988

0.116377

0

0.414286

0

0.085497

0.026223

0

1

0.057143

false

0.017857

0.089286

0

0.353571

0.046429

0

null

0

null

0

1

0

39bdb6e5ac777c1dbb29e8d29b5d3a629b8f1d14

3,683

py

Python

cogs/misc.py

DoggieLicc/doggie-bot

31400a32916e08cd5b7909cce17db66ea927d2e3

[ "MIT" ]

3

2021-08-30T16:51:04.000Z

2021-09-13T17:04:29.000Z

cogs/misc.py

DoggieLicc/doggie-bot

31400a32916e08cd5b7909cce17db66ea927d2e3

[ "MIT" ]

1

2021-08-30T15:29:37.000Z

2021-09-09T23:59:47.000Z

cogs/misc.py

DoggieLicc/doggie-bot

31400a32916e08cd5b7909cce17db66ea927d2e3

[ "MIT" ]

null

import discord import utils import inspect from discord.ext import commands from io import StringIO class Misc(commands.Cog): """Commands that show info about the bot""" def __init__(self, bot: utils.CustomBot): self.bot: utils.CustomBot = bot @commands.command(aliases=['i', 'ping']) async ...

29

103

0.555525

419

3,683

4.797136

0.343675

0.024378

0.038806

0.050746

0.227861

0.195522

0.093035

0.040796

0

0.01237

0.319576

3,683

126

104

29.230159

0.788907

0.010046

0

0.222222

0

0.173591

0.012237

0

1

0.022222

false

0

0.055556

0

0.111111

0

null

0

null

0

1

0

39c16bfed4316959a8bb44396e89b0248bfc5ee5

719

py

Python

URI/multiplicador.py

LuccasTraumer/pythonRepositorio

52d4455cea0615c8eba7ab4c6224ce3350bbcf47

[ "MIT" ]

null

URI/multiplicador.py

LuccasTraumer/pythonRepositorio

52d4455cea0615c8eba7ab4c6224ce3350bbcf47

[ "MIT" ]

null

URI/multiplicador.py

LuccasTraumer/pythonRepositorio

52d4455cea0615c8eba7ab4c6224ce3350bbcf47

[ "MIT" ]

null

''' Leia 2 valores inteiros (A e B). Após, o programa deve mostrar uma mensagem "Sao Multiplos" ou "Nao sao Multiplos", indicando se os valores lidos são múltiplos entre si. ''' data = str(input()) values = data.split(' ') first_value = int(values[0]) second_value = int(values[1]) if(second_value > first_value): ...

27.653846

94

0.673157

101

719

4.633663

0.425743

0.17094

0.096154

0.134615

0.311966

0.200855

0

0.008834

0.212796

719

25

95

28.76

0.818021

0.235049

0

0.4375

0

0.112754

0

1

0

false

0

0.25

0

null

0

null

0

1

0

39c247e8b1fdf8e3efae1a8994e7cba05bbc1477

2,767

py

Python

app/listeners.py

seratch/slack_learning_app_ja

9552489b1d5d3adc61a7c73645a1ae09abc9d933

[ "MIT" ]

11

2020-10-28T08:04:16.000Z

2022-03-18T09:12:29.000Z

app/listeners.py

seratch/slack_learning_app_ja

9552489b1d5d3adc61a7c73645a1ae09abc9d933

[ "MIT" ]

1

2020-10-29T23:10:52.000Z

2020-10-29T23:37:00.000Z

app/listeners.py

seratch/slack_learning_app_ja

9552489b1d5d3adc61a7c73645a1ae09abc9d933

[ "MIT" ]

null

import re from slack_bolt import App from app.onboarding import ( message_multi_users_select, message_multi_users_select_lazy, ) from app.tutorials import ( tutorial_page_transition, tutorial_page_transition_lazy, app_home_opened, app_home_opened_lazy, page1_home_tab_button_click, page...

30.744444

88

0.734731

344

2,767

5.383721

0.142442

0.083153

0.136069

0.062095

0.472462

0.211663

0.188985

0.143629

0.089633

0.053996

0

0.013571

0.147814

2,767

89

31.089888

0.771841

0.039754

0

0.138386

0.111237

0

1

0.015152

false

0

0.060606

0

0.075758

0

null

0

null

0

1

0

39c310b2a22377850644e8e3e7bb4274bb90e2dd

1,213

py

Python

project2/redactor.py

m-harikiran/cs5293sp21-project2

48547543001813aee17731399f617f82043e4a8f

[ "MIT" ]

null

project2/redactor.py

m-harikiran/cs5293sp21-project2

48547543001813aee17731399f617f82043e4a8f

[ "MIT" ]

null

project2/redactor.py

m-harikiran/cs5293sp21-project2

48547543001813aee17731399f617f82043e4a8f

[ "MIT" ]

null

import nltk import re from nltk.corpus import wordnet # This method reads the file and redacts names in it and writes redacted data to file with extension python3.redacted def redactNames(path): data = open(path).read() # Reading the file to be redacted tokenized_data = nltk.word_tokenize(data) # Sp...

32.783784

117

0.660346

162

1,213

4.864198

0.512346

0.06599

0.035533

0.045685

0

0.007659

0.246496

1,213

36

118

33.694444

0.854486

0.380874

0

0.063599

0

1

0.058824

false

0

0.176471

0

0.294118

0

null

0

null

0

1

0

39c3360de5ed5436c13f0b5c11ff3ff8f4c1e5e8

935

py

Python

python3/max_area_of_island.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

1

2020-10-08T09:17:40.000Z

python3/max_area_of_island.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

python3/max_area_of_island.py

joshiaj7/CodingChallenges

f95dd79132f07c296e074d675819031912f6a943

[ "MIT" ]

null

# Space : O(n) # Time : O(m*n) class Solution: def crawl(self, grid, x, y): def bfs(dx, dy): nonlocal area if grid[dy][dx] == 1: area += 1 grid[dy][dx] = 0 elif grid[dy][dx] == 0: return for ax, ay in c...

25.972222

61

0.37754

130

935

2.715385

0.292308

0.067989

0.050992

0.11898

0

0.040568

0.472727

935

35

62

26.714286

0.675456

0.037433

0

0.142857

0

1

0.107143

false

0

0.25

0

null

0

null

0

1

0

39c80db6883ae8bab680917b15a4a104eed100d2

4,888

py

Python

vl/h5/mg_genome/norm_h5.py

hurwitzlab/viral-learning

8d7aebc0d58fa32a429f4a47593452ee2722ba82

[ "MIT" ]

1

2018-02-23T16:49:30.000Z

vl/h5/mg_genome/norm_h5.py

hurwitzlab/viral-learning

8d7aebc0d58fa32a429f4a47593452ee2722ba82

[ "MIT" ]

null

vl/h5/mg_genome/norm_h5.py

hurwitzlab/viral-learning

8d7aebc0d58fa32a429f4a47593452ee2722ba82

[ "MIT" ]

null

""" 1. Normalizing the entire dataset with mean and variance, shuffle, compression=9 runs for more than 8 hours on ocelote and results in a file of more than 150GB. 2. Try normalizing with only variance and without shuffle. """ import os.path import sys import time import h5py import numpy as np def calculate_...

35.678832

110

0.557897

629

4,888

4.171701

0.240064

0.048018

0.024009

0.015244

0.22218

0.202363

0.155488

0.025915

0

0.035499

0.319967

4,888

137

111

35.678832

0.753911

0.148527

0

0.090909

0

0.114355

0.023844

0

1

0.045455

false

0.011364

0.056818

0

0.113636

0.147727

0

null

0

null

0

1

0

39c9516fadde5be713c7c8c8f3a12e5d1178fce7

780

py

Python

app/controller/api/fields/comment.py

Arianxx/LoniceraBlog

1f13d336f42c7041b16293dc8f1af62cc98ce2f4

[ "MIT" ]

8

2018-09-08T04:41:01.000Z

2018-09-08T13:15:59.000Z

app/controller/api/fields/comment.py

Arianxx/LoniceraBlog

1f13d336f42c7041b16293dc8f1af62cc98ce2f4

[ "MIT" ]

null

app/controller/api/fields/comment.py

Arianxx/LoniceraBlog

1f13d336f42c7041b16293dc8f1af62cc98ce2f4

[ "MIT" ]

6

2018-09-08T08:51:50.000Z

2018-09-11T00:29:20.000Z

from flask_restful import fields from .custom import Num, EdgeUrl, PaginateUrl getCommentField = { "id": fields.Integer, "time": fields.DateTime(attribute="timestamp"), "author_name": fields.String(attribute="username"), "article_id": fields.Integer(attribute="postid"), "body": fields.String, "...

31.2

72

0.65

85

780

5.882353

0.517647

0.104

0.132

0.088

0

0.003086

0.169231

780

24

73

32.5

0.768519

0

0.241026

0

1

0

false

0

0.090909

0

0.090909

0

null

0

null

0

1

0

39cc957ec5fbf6dc9322a11520c340004afd7af2

1,132

py

Python

faq/templatetags/faq_tags.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

faq/templatetags/faq_tags.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

faq/templatetags/faq_tags.py

HerbyDE/jagdreisencheck-webapp

9af5deda2423b787da88a0c893f3c474d8e4f73f

[ "BSD-3-Clause" ]

null

from django import template from faq.forms import FaqInstanceForm, FaqAnswerForm from faq.models import FaqInstance, FaqAnswer register = template.Library() @register.inclusion_tag('faq/jagdreisencheck/create-question-form.html', takes_context=True) def create_question_form(context, model, identifier): form = ...

28.3

104

0.754417

125

1,132

6.712

0.312

0.057211

0.071514

0.082241

0.277712

0.205006

0

0.134276

1,132

40

105

28.3

0.856122

0

0.28

0

0.181818

0.115622

0

1

0.12

false

0

0.12

0

0.36

0

null

0

null

0

1

0

39cfddaaca78d75a0a19c8026c9b58cbdca9cec8

18,099

py

Python

contracts/crawler.py

waldyrious/public-contracts

3107ddc007f3574ce19aaa2223399484bc6b1382

[ "BSD-3-Clause" ]

25

2015-03-05T00:15:11.000Z

2021-04-04T18:50:43.000Z

contracts/crawler.py

waldyrious/public-contracts

3107ddc007f3574ce19aaa2223399484bc6b1382

[ "BSD-3-Clause" ]

36

2015-03-21T17:04:54.000Z

2017-07-06T10:35:51.000Z

contracts/crawler.py

waldyrious/public-contracts

3107ddc007f3574ce19aaa2223399484bc6b1382

[ "BSD-3-Clause" ]

7

2015-03-24T16:18:02.000Z

2019-05-29T11:51:01.000Z

import json import logging from django.core.exceptions import ValidationError from django.db import transaction from django.forms import DateField, CharField import requests import requests.exceptions from . import models from contracts.crawler_forms import EntityForm, ContractForm, \ TenderForm, clean_place, Pr...

35.627953

82

0.560749

1,999

18,099

4.938969

0.168584

0.018839

0.013167

0.018434

0.353388

0.29211

0.277727

0.234377

0.201256

0.185658

0

0.014671

0.325874

18,099

507

83

35.698225

0.794525

0.110945

0

0.274627

0

0.00597

0.142057

0.005855

0

1

0.101493

false

0.002985

0.026866

0.014925

0.268657

0

null

0

null

0

1

0

39d50b087b533ec75540f6aeefa21a97dbda7cfa

7,392

py

Python

tests/unit/test_resources.py

butla/PyDAS

39df5abbe9563b58da7caaa191b89852fb122ab7

[ "MIT" ]

13

2016-06-29T13:35:05.000Z

2021-05-25T09:47:31.000Z

tests/unit/test_resources.py

butla/PyDAS

39df5abbe9563b58da7caaa191b89852fb122ab7

[ "MIT" ]

1

2016-07-11T23:11:33.000Z

tests/unit/test_resources.py

butla/PyDAS

39df5abbe9563b58da7caaa191b89852fb122ab7

[ "MIT" ]

3

2017-10-17T15:54:25.000Z

2022-03-24T01:11:37.000Z

import copy import json import os from unittest.mock import MagicMock, call from bravado.client import SwaggerClient import bravado.exception from bravado_falcon import FalconHttpClient import falcon import pytest import pytest_falcon.plugin import responses import yaml from data_acquisition.acquisition_request impor...

38.103093

97

0.759199

959

7,392

5.465068

0.164755

0.038161

0.045793

0.029765

0.441519

0.390002

0.285823

0.274757

0.256058

0.241557

0

0.006014

0.145157

7,392

193

98

38.300518

0.82339

0.002435

0

0.220588

0

0.014706

0.072863

0

0.007353

0

0.125

1

0.139706

false

0

0.125

0.022059

0.308824

0

null

0

null

0

1

0

39d6297dad17364278641be6d1ed6ea276348300

886

py

Python

Medium/279. Perfect Squares/solution (2).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

3

2020-05-09T12:55:09.000Z

2022-03-11T18:56:05.000Z

Medium/279. Perfect Squares/solution (2).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

null

Medium/279. Perfect Squares/solution (2).py

czs108/LeetCode-Solutions

889f5b6a573769ad077a6283c058ed925d52c9ec

[ "MIT" ]

1

2022-03-11T18:56:16.000Z

# 279. Perfect Squares # Runtime: 60 ms, faster than 96.81% of Python3 online submissions for Perfect Squares. # Memory Usage: 14.7 MB, less than 42.95% of Python3 online submissions for Perfect Squares. class Solution: # Greedy Enumeration def numSquares(self, n: int) -> int: square_nums = set([i *...

30.551724

97

0.555305

123

886

3.926829

0.471545

0.086957

0.068323

0.074534

0.236025

0.178054

0

0.045534

0.35553

886

29

98

30.551724

0.80035

0.341986

0

0.071429

1

0.142857

false

0

0.5

0

null

0

null

0

1

0

39d6fc42a60ee57ea74155e98d6216d785fa855c

2,720

py

Python

server/perform_action/common.py

darrenfoong/battleships

2866207b3a55d24fc085beedbd735d489990e487

[ "MIT" ]

11

2020-01-15T14:25:48.000Z

2021-11-25T04:21:18.000Z

server/perform_action/common.py

darrenfoong/battleships

2866207b3a55d24fc085beedbd735d489990e487

[ "MIT" ]

8

2021-02-04T16:41:57.000Z

2022-03-29T21:57:15.000Z

esp8266/common.py

pythings/PythingsOS

276b41a32af7fa0d5395b2bb308e611f784f9711

[ "Apache-2.0" ]

null

MAX_COPIES = 2 RECV_SIZE = 1024 SEND_SIZE = 1024 SERVER_IP = "172.24.1.107" SERVER_PORT = 10000 def recv_line(conn): data = "" data += conn.recv(RECV_SIZE) # data += conn.recv(RECV_SIZE).decode("utf-8") return data def make_request(entity_type, type, filename = None, auth = None, filesize = None, ip ...

28.93617

190

0.683824

342

2,720

5.216374

0.178363

0.095291

0.085762

0.103139

0.592489

0.461323

0.386771

0.34417

0.243274

0.190583

0

0.013596

0.161765

2,720

93

191

29.247312

0.76886

0.120956

0

0.493333

0

0.225074

0

1

0.04

false

0

0.013333

0.093333

0

null

0

null

0

1

0

39da37adde81c90589b9c7e68358e7bc3b53628e

1,361

py

Python

repeat_samples.py

xiz675/OpenNMT-py

eaee466437d6a2f7c06a2401f9a8ef6c7757cabd

[ "MIT" ]

null

repeat_samples.py

xiz675/OpenNMT-py

eaee466437d6a2f7c06a2401f9a8ef6c7757cabd

[ "MIT" ]

null

repeat_samples.py

xiz675/OpenNMT-py

eaee466437d6a2f7c06a2401f9a8ef6c7757cabd

[ "MIT" ]

null

def repeat(srcs, convs, tags): new_src = [] new_conv = [] new_tag = [] print("size before repeat: " + str(len(srcs))) for i in zip(srcs, convs, tags): tag_list = i[2].split(";") for j in range(len(tag_list)): new_src.append(i[0]) new_conv.append(i[1]) ...

28.957447

64

0.603968

216

1,361

3.513889

0.273148

0.073781

0.086957

0.059289

0.14888

0.098814

0

0.007744

0.240999

1,361

46

65

29.586957

0.727009

0

0.052632

0

0.106696

0

0.026316

1

0.078947

false

0

0.131579

0.052632

0

null

0

null

0

1

0

39df74f7e7ea40de0f014c2a1bd6b468baf99ae0

974

py

Python

matching.py

siweiwang24/marriage

d0f041ef380562885177418944791491949d024e

[ "MIT" ]

null

matching.py

siweiwang24/marriage

d0f041ef380562885177418944791491949d024e

[ "MIT" ]

null

matching.py

siweiwang24/marriage

d0f041ef380562885177418944791491949d024e

[ "MIT" ]

null

""" Stable Marriage Problem solution using Gale-Shapley. Copyright 2020. Siwei Wang. """ # pylint: disable=no-value-for-parameter from typing import Optional from click import command, option, Path from read_validate import get_smp from marriage import compute_smp from write import print_results @command() @option('...

32.466667

69

0.724846

140

974

4.85

0.464286

0.070692

0.041237

0.044183

0.100147

0

0.004902

0.162218

974

29

70

33.586207

0.827206

0.185832

0

0.160256

0

1

0.055556

false

0

0.277778

0

0.333333

0.166667

0

null

0

null

0

1

0

39e0cfb770931442146ef89aab0fb46b52dd6602

7,908

py

Python

chimeric_blacklist.py

regnveig/juicer1.6_compact

21cd24f4c711640584965704f4fa72e5a25b76e3

[ "MIT" ]

null

chimeric_blacklist.py

regnveig/juicer1.6_compact

21cd24f4c711640584965704f4fa72e5a25b76e3

[ "MIT" ]

null

chimeric_blacklist.py

regnveig/juicer1.6_compact

21cd24f4c711640584965704f4fa72e5a25b76e3

[ "MIT" ]

null

import pysam import json import bisect import subprocess def LoadFragmentMap(RestrSitesMap): FragmentMap = {} with open(RestrSitesMap, 'rt') as MapFile: for Contig in MapFile: List = Contig[:-1].split(' ') FragmentMap[List[0]] = [int(item) for item in List[1:]] return FragmentMap def CalcDist(Item1, Item2)...

55.300699

386

0.661861

1,012

7,908

5.12747

0.241107

0.062054

0.030834

0.04471

0.244941

0.222201

0.139333

0.127385

0.117364

0.095394

0

0.037266

0.141502

7,908

142

387

55.690141

0.727058

0.027441

0

0.073171

0

0.01626

0.209066

0.019018

0

0.007042

0

1

0.04878

false

0.00813

0.03252

0.00813

0.130081

0.00813

0

null

0

null

0

1

0

39e198255bc72ec3d147506eb38e23671a7f0cb4

4,088

py

Python

bot.py

gilgamezh/registration_desk

98303a6f96be78e0c1898a523db761f6d19866fc

[ "MIT" ]

null

bot.py

gilgamezh/registration_desk

98303a6f96be78e0c1898a523db761f6d19866fc

[ "MIT" ]

null

bot.py

gilgamezh/registration_desk

98303a6f96be78e0c1898a523db761f6d19866fc

[ "MIT" ]

null

import csv import logging import os import discord from discord.ext import commands, tasks from discord.utils import get # logging config logging.basicConfig( filename=".log/reg.log", format="%(asctime)s - %(message)s", level=logging.INFO, datefmt="%d-%b-%y %H:%M:%S", ) # set up channel ids and enviro...

34.066667

315

0.613748

562

4,088

4.36121

0.327402

0.044064

0.02448

0.025704

0.199102

0.142799

0.103631

0.085679

0

0.008988

0.265166

4,088

119

316

34.352941

0.805925

0.052104

0

0.142857

0

0.065934

0.282058

0

0.008403

0

1

0.021978

false

0

0.065934

0

0.153846

0.032967

0

null

0

null

0

1

0

39e1a049e695d46df354014950cf2221cf9cdc1c

1,551

py

Python

src/gameServer.py

LesGameDevToolsMagique/GameEditor

06bed29845ded5cca35e57a3dd457dc72c2a2e8e

[ "MIT" ]

null

src/gameServer.py

LesGameDevToolsMagique/GameEditor

06bed29845ded5cca35e57a3dd457dc72c2a2e8e

[ "MIT" ]

null

src/gameServer.py

LesGameDevToolsMagique/GameEditor

06bed29845ded5cca35e57a3dd457dc72c2a2e8e

[ "MIT" ]

null

#!/usr/bin/env python # skeleton from http://kmkeen.com/socketserver/2009-04-03-13-45-57-003.html import socketserver, subprocess, sys from threading import Thread from pprint import pprint import json my_unix_command = ['bc'] HOST = 'localhost' PORT = 12321 with open('storage.json') as data_file: JSONdata = js...

31.02

78

0.648614

168

1,551

5.827381

0.613095

0.024515

0.028601

0.042901

0.081716

0

0.025663

0.246293

1,551

49

79

31.653061

0.811805

0.107672

0

0.107904

0

1

0.081081

false

0

0.108108

0

0.351351

0.081081

0

null

0

null

0

1

0

39e3fc7a595793dc10754a5adbe8f528668e75d2

360

py

Python

src/keycloakclient/aio/openid_connect.py

phoebebright/python-keycloak-client

8590fbcdbda8edbe993a01bbff06d9d9be679c5e

[ "MIT" ]

null

src/keycloakclient/aio/openid_connect.py

phoebebright/python-keycloak-client

8590fbcdbda8edbe993a01bbff06d9d9be679c5e

[ "MIT" ]

null

src/keycloakclient/aio/openid_connect.py

phoebebright/python-keycloak-client

8590fbcdbda8edbe993a01bbff06d9d9be679c5e

[ "MIT" ]

null

from keycloakclient.aio.mixins import WellKnownMixin from keycloakclient.openid_connect import ( KeycloakOpenidConnect as SyncKeycloakOpenidConnect, PATH_WELL_KNOWN, ) __all__ = ( 'KeycloakOpenidConnect', ) class KeycloakOpenidConnect(WellKnownMixin, SyncKeycloakOpenidConnect): def get_path_well_know...

24

71

0.8

33

360

8.363636

0.606061

0.086957

0.141304

0

0.144444

360

14

72

25.714286

0.896104

0

0.058333

0

1

0.090909

false

0

0.181818

0.090909

0.454545

0

null

0

null

0

1

0

39e4afc96a10bdb1d7dfe165b5b83d57bfbc7c47

9,987

py

Python

multi_script_editor/jedi/evaluate/precedence.py

paulwinex/pw_multiScriptEditor

e447e99f87cb07e238baf693b7e124e50efdbc51

[ "MIT" ]

142

2015-03-21T12:56:21.000Z

2022-02-08T04:42:46.000Z

jedi/evaluate/precedence.py

blueyed/jedi

a01e4c6b375795bb8c8ee0d4e86d4c535456f5b4

[ "MIT" ]

18

2015-05-06T21:14:14.000Z

2015-08-29T18:24:43.000Z

jedi/evaluate/precedence.py

blueyed/jedi

a01e4c6b375795bb8c8ee0d4e86d4c535456f5b4

[ "MIT" ]

51

2016-05-07T14:27:42.000Z

2022-02-10T05:55:11.000Z

""" Handles operator precedence. """ from jedi._compatibility import unicode from jedi.parser import representation as pr from jedi import debug from jedi.common import PushBackIterator from jedi.evaluate.compiled import CompiledObject, create, builtin from jedi.evaluate import analysis class PythonGrammar(object): ...

33.513423

88

0.601382

1,163

9,987

4.979364

0.200344

0.022449

0.020549

0.015196

0.240373

0.134001

0.091867

0.078052

0.059057

0

0.001856

0.298588

9,987

297

89

33.626263

0.824839

0.110744

0

0.203791

0

0.028951

0

1

0.104265

false

0.004739

0.042654

0.023697

0.412322

0

null

0

null

0

1

0

39e817d468144ef60c9cbbd969d60eec454c7689

1,967

py

Python

search.py

manimaul/mxmcc

923458b759c8daa74dd969e968bc72b17fdffe02

[ "BSD-2-Clause", "BSD-3-Clause" ]

1

2016-08-24T21:30:45.000Z

search.py

manimaul/mxmcc

923458b759c8daa74dd969e968bc72b17fdffe02

[ "BSD-2-Clause", "BSD-3-Clause" ]

5

2021-03-18T23:25:15.000Z

2022-03-11T23:44:20.000Z

search.py

manimaul/mxmcc

923458b759c8daa74dd969e968bc72b17fdffe02

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

#!/usr/bin/env python __author__ = 'Will Kamp' __copyright__ = 'Copyright 2013, Matrix Mariner Inc.' __license__ = 'BSD' __email__ = 'will@mxmariner.com' __status__ = 'Development' # 'Prototype', 'Development', or 'Production' import os class MapPathSearch: def __init__(self, directory, map_extensions=['kap', ...

34.508772

120

0.56482

241

1,967

4.360996

0.39834

0.136061

0.049477

0.045671

0.170314

0.144624

0.089439

0

0.006154

0.339095

1,967

56

121

35.125

0.802308

0.37214

0

0.095925

0

1

0.033333

false

0

0.033333

0

0.1

0.066667

0

null

0

null

0

1

0

39e9b24961999fcc48a120276aefb45a23005614

1,585

py

Python

ggui/style.py

arthur-hav/GGUI

b64495546541bafa168daa150a4de86569fe1242

[ "MIT" ]

1

2021-02-03T13:33:14.000Z

ggui/style.py

arthur-hav/GGUI

b64495546541bafa168daa150a4de86569fe1242

[ "MIT" ]

null

ggui/style.py

arthur-hav/GGUI

b64495546541bafa168daa150a4de86569fe1242

[ "MIT" ]

null

class Style: def __init__(self, parent_styles=None, color=(0, 0, 0, 0), hover_color=None, click_color=None, disabled_color=None, border_color=None, border_line_w=0, fade_in_time=0...

38.658537

98

0.581073

203

1,585

4.26601

0.231527

0.093533

0.110855

0.078522

0.110855

0

0.039889

0.319874

1,585

40

99

39.625

0.763451

0

0.055556

0.096591

0.078283

0

1

0.111111

false

0

0.055556

0.25

0

null

0

null

0

1

0

39ebe1a3f9b6deca1adc431db80e1a994f12644b

5,041

py

Python

fsh_validator/cli.py

glichtner/fsh-validator

c3b16546221c8d43c24bcee426ec7882938305bd

[ "BSD-3-Clause" ]

null

fsh_validator/cli.py

glichtner/fsh-validator

c3b16546221c8d43c24bcee426ec7882938305bd

[ "BSD-3-Clause" ]

1

2022-03-01T16:06:09.000Z

fsh_validator/cli.py

glichtner/fsh-validator

c3b16546221c8d43c24bcee426ec7882938305bd

[ "BSD-3-Clause" ]

null

"""Command line interface for fsh-validator.""" import os import sys import argparse from pathlib import Path import yaml from .fsh_validator import ( print_box, run_sushi, validate_all_fsh, validate_fsh, download_validator, bcolors, VALIDATOR_BASENAME, store_log, assert_sushi_instal...

26.671958

115

0.623686

598

5,041

5.031773

0.249164

0.034563

0.047856

0.033234

0.128946

0.109671

0.050515

0

0.001381

0.281889

5,041

188

116

26.81383

0.829834

0.052767

0

0.255034

0

0.006711

0.175799

0.008885

0

0.006711

1

0.013423

false

0

0.04698

0

0.073826

0.04698

0

null

0

null

0

1

0

39ec0f238d1f205a702d9a13cc4aec9895df5afa

475

py

Python

core/util/read_input.py

SimoneABNto/Progetto_ASD_py

b415bcc3581121c5c39e044ac3fbb92420964e68

[ "MIT" ]

null

core/util/read_input.py

SimoneABNto/Progetto_ASD_py

b415bcc3581121c5c39e044ac3fbb92420964e68

[ "MIT" ]

null

core/util/read_input.py

SimoneABNto/Progetto_ASD_py

b415bcc3581121c5c39e044ac3fbb92420964e68

[ "MIT" ]

null

def read_input(): try: data = input().replace(" ", "") # take the input and remove the extra spaces input_array = data.split(",") # split the sub substring input_array[-1] = input_array[-1][:-1] array = [] for el in input_array: array.append(float(el)) # conv...

26.388889

85

0.555789

61

475

4.245902

0.57377

0.15444

0.084942

0

0.009404

0.328421

475

17

86

27.941176

0.802508

0.223158

0

0.049315

0

1

0.076923

false

0

0.230769

0.153846

0

null

0

null

0

1

0

39ef5804d073f8e1a8698f5b8f98bbb0a09926ef

7,170

py

Python

src/asit.py

6H057WH1P3/Asit

4dce80e3c4c05c4f56563110c59bae55e61aeaae

[ "MIT" ]

null

src/asit.py

6H057WH1P3/Asit

4dce80e3c4c05c4f56563110c59bae55e61aeaae

[ "MIT" ]

3

2015-09-16T17:54:13.000Z

2015-09-18T06:54:33.000Z

src/asit.py

6H057WH1P3/Asit

4dce80e3c4c05c4f56563110c59bae55e61aeaae

[ "MIT" ]

null

import random import time import requests class Account: # C'tor def __init__(self, language, world, user, password, ability): # def standard class variables self.cookie = "" self.language = language self.world = world self.user = user self.password = password ...

39.61326

155

0.565969

791

7,170

5.026549

0.275601

0.0166

0.024145

0.022636

0.226107

0.123491

0.112425

0.080734

0.070674

0.049044

0

0.008287

0.326778

7,170

180

156

39.833333

0.815413

0.128452

0

0.152672

0

0.149518

0.009486

0

0.005556

0

1

0.068702

false

0.038168

0.022901

0

0.175573

0.114504

0

null

0

null

0

1

0

39f2718894e3565b21d9ad13de2638c2e9273b26

270

py

Python

euler_7_nth_prime.py

igorakkerman/euler-challenge

1fdedce439520fc31a2e5fb66abe23b6f99f04db

[ "MIT" ]

null

euler_7_nth_prime.py

igorakkerman/euler-challenge

1fdedce439520fc31a2e5fb66abe23b6f99f04db

[ "MIT" ]

null

euler_7_nth_prime.py

igorakkerman/euler-challenge

1fdedce439520fc31a2e5fb66abe23b6f99f04db

[ "MIT" ]

null

# https://projecteuler.net/problem=7 import math def sieve(xmax): p = {i for i in range(2, xmax + 1)} for i in range(2, xmax): r = {j * i for j in range(2, int(xmax / i) + 1)} p -= r return sorted(p) print(sum(sieve(2000000)))

20.769231

57

0.533333

46

270

3.130435

0.543478

0.145833

0.166667

0.152778

0.222222

0

0.069892

0.311111

270

12

58

22.5

0.704301

0.125926

0

1

0.125

false

0

0.125

0

0.375

0.125

0

null

0

null

0

1

0

39f3a173967eb82662e3417309654bea4d1eda7a

3,066

py

Python

docker/ubuntu/16-04/ub_limonero/migrations/versions/32053847c4db_add_new_types.py

eubr-atmosphere/jenkins

a9065584d810238c6fa101d92d12c131d1d317cb

[ "Apache-2.0" ]

null

docker/ubuntu/16-04/ub_limonero/migrations/versions/32053847c4db_add_new_types.py

eubr-atmosphere/jenkins

a9065584d810238c6fa101d92d12c131d1d317cb

[ "Apache-2.0" ]

null

docker/ubuntu/16-04/ub_limonero/migrations/versions/32053847c4db_add_new_types.py

eubr-atmosphere/jenkins

a9065584d810238c6fa101d92d12c131d1d317cb

[ "Apache-2.0" ]

null

"""Add new types Revision ID: 32053847c4db Revises: 05a62958a9cc Create Date: 2019-06-11 10:36:14.456629 """ from alembic import context from sqlalchemy.orm import sessionmaker # revision identifiers, used by Alembic. revision = '32053847c4db' down_revision = '05a62958a9cc' branch_labels = None depends_on = None a...

32.967742

80

0.599152

338

3,066

5.284024

0.349112

0.033595

0.06047

0.073908

0.712206

0.602464

0.520717

0

0.036219

0.261579

3,066

92

81

33.326087

0.75265

0.046314

0

0.366667

0

0.327264

0.129995

0

1

0.033333

false

0

0.033333

0

0.066667

0

null

0

null

0

1

0

39f5a45cf3414a12f90b8d040d893593304736d0

2,836

py

Python

sets-master/sets-master/sets/utility.py

FedericoMolinaChavez/tesis-research

d77cc621d452c9ecf48d9ac80349b41aeb842412

[ "MIT" ]

null

sets-master/sets-master/sets/utility.py

FedericoMolinaChavez/tesis-research

d77cc621d452c9ecf48d9ac80349b41aeb842412

[ "MIT" ]

4

2021-03-09T20:33:57.000Z

2022-02-18T12:56:32.000Z

sets-master/sets-master/sets/utility.py

FedericoMolinaChavez/tesis-research

d77cc621d452c9ecf48d9ac80349b41aeb842412

[ "MIT" ]

null

import os import pickle import functools import errno import shutil from urllib.request import urlopen #import definitions def read_config(schema='data/schema.yaml', name='sets'): filename = '.{}rc'.format(name) paths = [ os.path.join(os.curdir, filename), os.path.expanduser(os.path...

35.012346

80

0.619182

340

2,836

5.126471

0.364706

0.048193

0.028686

0.043029

0.151463

0.131956

0.065404

0

0.000489

0.278209

2,836

80

81

35.45

0.851001

0.211566

0

0.189655

0

0.030158

0

1

0.103448

false

0

0.103448

0

0.344828

0.017241

0

null

0

null

0

1

0

f2cdba45917fad7ff9ab33f608fa9dbb603aec4b

1,984

py

Python

src/test_fps.py

pjenpoomjai/tfpose-herokuNEW

7d1085a3fcb02c0f6d16ed7f2cf1ad8daff103ea

[ "Apache-2.0" ]

null

src/test_fps.py

pjenpoomjai/tfpose-herokuNEW

7d1085a3fcb02c0f6d16ed7f2cf1ad8daff103ea

[ "Apache-2.0" ]

null

src/test_fps.py

pjenpoomjai/tfpose-herokuNEW

7d1085a3fcb02c0f6d16ed7f2cf1ad8daff103ea

[ "Apache-2.0" ]

null

import cv2 import time import numpy as np import imutils camera= 0 cam = cv2.VideoCapture(camera) fgbg = cv2.createBackgroundSubtractorMOG2(history=1000,varThreshold=0,detectShadows=False) width=600 height=480 fps_time = 0 while True: ret_val,image = cam.read() image = cv2.resize(image,(width,height)) imag...

28.342857

90

0.579133

298

1,984

3.741611

0.35906

0.03139

0.016144

0.01435

0.074439

0

0.060777

0.286794

1,984

69

91

28.753623

0.727208

0.285786

0

0.090909

0

0.03709

0

1

0

false

0

0.090909

0

0.090909

0

null

0

null

0

1

0

f2ce254695f631034aa335be9147cb99e06d1cfc

999

py

Python

Python/367.ValidPerfectSquare.py

nizD/LeetCode-Solutions

7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349

[ "MIT" ]

263

2020-10-05T18:47:29.000Z

2022-03-31T19:44:46.000Z

Python/367.ValidPerfectSquare.py

nizD/LeetCode-Solutions

7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349

[ "MIT" ]

1,264

2020-10-05T18:13:05.000Z

2022-03-31T23:16:35.000Z

Python/367.ValidPerfectSquare.py

nizD/LeetCode-Solutions

7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349

[ "MIT" ]

760

2020-10-05T18:22:51.000Z

2022-03-29T06:06:20.000Z

#Given a positive integer num, write a function which returns True if num is a perfect square else False. class Solution(object): def isPerfectSquare(self, num): low=0 high=num #Starting from zero till the number we need to check for perfect square while(low<=high): #Calu...

47.571429

140

0.617618

146

999

4.226027

0.458904

0.084279

0.048622

0.077796

0.158833

0.094003

0

0.006033

0.336336

999

20

141

49.95

0.924585

0.581582

0

1

0.076923

false

0

0.307692

0

null

0

null

0

1

0

f2d5d419d88204df9613b1050b9f75f4f36ef80c

20,923

py

Python

naspi/naspi.py

fgiroult321/simple-nas-pi

6d1a13523f1f20ebe26f780c758a3ff15be899ff

[ "MIT" ]

null

naspi/naspi.py

fgiroult321/simple-nas-pi

6d1a13523f1f20ebe26f780c758a3ff15be899ff

[ "MIT" ]

null

naspi/naspi.py

fgiroult321/simple-nas-pi

6d1a13523f1f20ebe26f780c758a3ff15be899ff

[ "MIT" ]

null

import os import boto3 # import subprocess from subprocess import Popen, PIPE from time import sleep import json import ast from datetime import datetime, time, timedelta, date import logging import logging.handlers import sys, getopt import glob import shutil logger = logging.getLogger() logger.setLevel(logging.INFO)...

38.461397

164

0.633322

2,647

20,923

4.75255

0.157159

0.027027

0.021463

0.017806

0.523927

0.42973

0.340143

0.300556

0.252703

0.182671

0

0.011469

0.22492

20,923

544

165

38.461397

0.76426

0.099842

0

0.27665

0

0.005076

0.205692

0.030544

0

0.001838

0

1

0.053299

false

0

0.030457

0

0.088832

0.032995

0

null

0

null

0

1

0

f2d7e6c6a86e1314f1b2716ac6227b1dc354be91

14,328

py

Python

fawkes/differentiator_lowkey.py

biergaiqiao/Oriole-Thwarting-Privacy-against-Trustworthy-Deep-Learning-Models

ffadb82b666e8c1561a036a10d9922db8a3266cc

[ "MIT" ]

1

2021-05-18T01:14:44.000Z

fawkes/differentiator_lowkey.py

biergaiqiao/Oriole-Thwarting-Privacy-against-Trustworthy-Deep-Learning-Models

ffadb82b666e8c1561a036a10d9922db8a3266cc

[ "MIT" ]

null

fawkes/differentiator_lowkey.py

biergaiqiao/Oriole-Thwarting-Privacy-against-Trustworthy-Deep-Learning-Models

ffadb82b666e8c1561a036a10d9922db8a3266cc

[ "MIT" ]

1

2021-05-18T01:14:47.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2020-10-21 # @Author : Emily Wenger (ewenger@uchicago.edu) import time import numpy as np import tensorflow as tf import tensorflow_addons as tfa from keras.utils import Progbar class FawkesMaskGeneration: # if the attack is trying to mimic a target im...

44.775

135

0.620254

1,864

14,328

4.501609

0.168991

0.022524

0.020141

0.011679

0.350614

0.273984

0.20081

0.193302

0.175903

0.168037

0

0.022559

0.285315

14,328

319

136

44.915361

0.796875

0.194724

0

0.121359

0

0.009709

0.024548

0

0.038835

1

0.048544

false

0

0.024272

0.004854

0.18932

0.024272

0

null

0

null

0

1

0

f2dd43c40f9fe338eecf074d6dac1c0de992c516

798

py

Python

chess.py

jrj92280/python-eve-backend

c0566cdef5e5c75e2b75e59bde804e0d4ce407e3

[ "MIT" ]

null

chess.py

jrj92280/python-eve-backend

c0566cdef5e5c75e2b75e59bde804e0d4ce407e3

[ "MIT" ]

null

chess.py

jrj92280/python-eve-backend

c0566cdef5e5c75e2b75e59bde804e0d4ce407e3

[ "MIT" ]

null

from chess_game._board import make_board from chess_game.chess_game import ChessGame from chess_game.play_game import get_user_input, game_event_loop if __name__ == "__main__": game_board = make_board() # pawn = Pawn('x', 'y', None, None, None) # pawn.move() print('Chess') print(' : Rules') pr...

33.25

76

0.639098

110

798

4.309091

0.381818

0.113924

0.082278

0.059072

0.113924

0

0.012384

0.190476

798

23

77

34.695652

0.721362

0.06391

0

0.319892

0.064516

0

1

0

false

0

0.2

0

0.2

0.4

0

null

0

null

0

1

0

f2de6356f341ba86e79ed1873bc9d766068dfedf

1,589

py

Python

strstr/3-2.py

stonemary/lintcode_solutions

f41fd0e56fb88ab54d0ab624977bff1623a6d33a

[ "Apache-2.0" ]

null

strstr/3-2.py

stonemary/lintcode_solutions

f41fd0e56fb88ab54d0ab624977bff1623a6d33a

[ "Apache-2.0" ]

null

strstr/3-2.py

stonemary/lintcode_solutions

f41fd0e56fb88ab54d0ab624977bff1623a6d33a

[ "Apache-2.0" ]

null

# time 15 mins # used time 15 mins # time 15 mins # used time 15 mins # this is actually a correct solution # the code i submitted a day ago, which passed lintcode, is actually wrong after i looked KMP up # the previous version does not take care of the situations where the target contains repeatitive elements class...

34.543478

118

0.570799

186

1,589

4.682796

0.33871

0.164179

0.123995

0.158439

0.293915

0.174512

0.119403

0

0.020222

0.377596

1,589

45

119

35.311111

0.860465

0.200126

0

0.481481

0

1

0.037037

false

0

0.222222

0

null

0

null

0

1

0

f2e37e6fb52ee6d2e740ecb159b5517384b2a2c4

324

py

Python

www/async_flask/__init__.py

StarAhri/flask

facd476065c945f3467d4bfd7bc4ca910cc27d74

[ "BSD-3-Clause" ]

null

www/async_flask/__init__.py

StarAhri/flask

facd476065c945f3467d4bfd7bc4ca910cc27d74

[ "BSD-3-Clause" ]

null

www/async_flask/__init__.py

StarAhri/flask

facd476065c945f3467d4bfd7bc4ca910cc27d74

[ "BSD-3-Clause" ]

null

from flask import Flask import time from _thread import get_ident app=Flask(__name__) @app.route("/") def hello_world(): time.sleep(20) return "hello world!"+str(get_ident()) @app.route("/index") def hello(): time.sleep(1) return "Hello"+str(get_ident()) if __name__=="__main__": app.run(port=6...

17.052632

42

0.675926

48

324

4.208333

0.5

0.118812

0.108911

0

0.025735

0.160494

324

19

43

17.052632

0.716912

0

0.098765

0

1

0.142857

false

0

0.214286

0

0.5

0

null

0

null

0

1

0

f2ed016efef1c89871a2e33d8718c95390697abc

3,545

py

Python

vk_bot/needrework/relation.py

triangle1984/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

3

2019-11-05T12:32:04.000Z

2019-11-15T14:29:46.000Z

vk_bot/needrework/relation.py

anar66/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

1

2019-12-11T20:26:31.000Z

vk_bot/needrework/relation.py

triangle1984/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

5

2019-11-20T14:20:30.000Z

2022-02-05T10:37:01.000Z

import vk_api from vk_api.utils import get_random_id from vk_bot.core.sql.vksql import * def relationmeet(text, vk, event): check = checkrelation('waitmeet', event.object.from_id) if check == None: check = checkrelation('relation', event.object.from_id) if check == None: userid = ""...

48.561644

172

0.598025

422

3,545

4.92654

0.229858

0.095238

0.12987

0.147186

0.531506

0.50457

0.465127

0.395382

0.329004

0

0.007205

0.256135

3,545

73

173

48.561644

0.781191

0

0.4

0

0.042857

0.304005

0.095601

0

1

0.071429

false

0

0.042857

0

0.328571

0

null

0

null

0

1

0

f2ed7a6bb514c982bc41d3c33e724e9e6365650e

1,746

py

Python

wallpaperdownloader/main.py

k-vinogradov/wallpaper-downloader

568c6a1e3a2307f710bf6fe313b39da2d620213a

[ "MIT" ]

null

wallpaperdownloader/main.py

k-vinogradov/wallpaper-downloader

568c6a1e3a2307f710bf6fe313b39da2d620213a

[ "MIT" ]

null

wallpaperdownloader/main.py

k-vinogradov/wallpaper-downloader

568c6a1e3a2307f710bf6fe313b39da2d620213a

[ "MIT" ]

null

"""Wallpaper Downloader Main Module.""" import argparse import asyncio import logging import sys from datetime import datetime from wallpaperdownloader.downloader import download, LOGGER_NAME def abort(*args): """Print message to the stderr and exit the program.""" print(*args, file=sys.stderr) sys.exit...

29.59322

76

0.683849

225

1,746

5.186667

0.471111

0.030848

0.058269

0.029135

0

0.012667

0.18614

1,746

58

77

30.103448

0.808586

0.093929

0

0.176093

0.015424

0

1

0.097561

false

0

0.146341

0

0.243902

0.02439

0

null

0

null

0

1

0

f2ee02add396584dc919e32b6bdd9a63f34df039

4,512

py

Python

Lib/site-packages/hackedit/app/common.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

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

null

Lib/site-packages/hackedit/app/common.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

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

20

2021-05-03T18:02:23.000Z

2022-03-12T12:01:04.000Z

Lib/site-packages/hackedit/app/common.py

fochoao/cpython

3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9

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

null

""" Functions shared across the main window, the welcome window and the system tray. """ import os import qcrash.api as qcrash from PyQt5 import QtWidgets from hackedit.app import templates, settings from hackedit.app.dialogs.dlg_about import DlgAbout from hackedit.app.dialogs.dlg_template_answers import DlgTemplate...

32

77

0.623005

503

4,512

5.437376

0.326044

0.051188

0.032907

0.024132

0.186837

0.14223

0.130896

0.093601

0

0.000627

0.292775

4,512

140

78

32.228571

0.856471

0.38852

0

0.092308

0

0.031086

0

0.007143

0

1

0.123077

false

0.015385

0.153846

0

0.338462

0

null

0

null

0

1

0

f2ee858e562eab312d062843fa52105cd18f06ef

4,778

py

Python

pygame_menu/locals.py

apuly/pygame-menu

77bf8f2c8913de5a24674ee0d0d2c7c9b816a58b

[ "MIT" ]

419

2017-05-01T20:00:08.000Z

2022-03-29T13:49:16.000Z

pygame_menu/locals.py

apuly/pygame-menu

77bf8f2c8913de5a24674ee0d0d2c7c9b816a58b

[ "MIT" ]

363

2017-11-05T17:42:48.000Z

2022-03-27T21:13:33.000Z

pygame_menu/locals.py

apuly/pygame-menu

77bf8f2c8913de5a24674ee0d0d2c7c9b816a58b

[ "MIT" ]

167

2017-05-02T20:42:24.000Z

2022-03-24T16:17:38.000Z

""" pygame-menu https://github.com/ppizarror/pygame-menu LOCALS Local constants. License: ------------------------------------------------------------------------------- The MIT License (MIT) Copyright 2017-2021 Pablo Pizarro R. @ppizarror Permission is hereby granted, free of charge, to any person obtaining a copy ...

35.392593

113

0.75429

588

4,778

5.807823

0.27551

0.084334

0.126501

0.079063

0.298682

0.186823

0.046852

0

0.002664

0.135831

4,778

134

114

35.656716

0.824413

0.325241

0

0.354043

0.105838

0

1

0

false

0

0.013699

0

0.013699

0

null

0

null

0

1

0

f2f29f0872d8843eb8b228cb03ec5eb0946af9b8

32,864

py

Python

tracklib/model/model.py

xueyuelei/tracklib

d33912baf1bebd1605d5e9c8dfc31484c96628cc

[ "MIT" ]

5

2020-03-04T11:36:19.000Z

2020-06-21T16:49:45.000Z

tracklib/model/model.py

xueyuelei/tracklib

d33912baf1bebd1605d5e9c8dfc31484c96628cc

[ "MIT" ]

null

tracklib/model/model.py

xueyuelei/tracklib

d33912baf1bebd1605d5e9c8dfc31484c96628cc

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' REFERENCES: [1] Y. Bar-Shalom, X. R. Li, and T. Kirubarajan, "Estimation with Applications to Tracking and Navigation," New York: John Wiley and Sons, Inc, 2001. [2] R. A. Singer, "Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets," in IEEE Transactions on Aerospa...

32.538614

222

0.549781

5,103

32,864

3.423672

0.084852

0.009158

0.012363

0.011848

0.685021

0.654456

0.616049

0.583081

0.565222

0.541469

0

0.0359

0.320229

32,864

1,009

223

32.570862

0.74615

0.297651

0

0.587459

0

0.034658

0

0.033003

1

0.092409

false

0

0.011551

0.033003

0.226073

0.00165

0

null

0

null

0

1

0

f2f3e2812670f2833f39a5b2980f1ac2b7819f19

1,229

py

Python

benchbuild/engine.py

sturmianseq/benchbuild

e3cc1a24e877261e90baf781aa67a9d6f6528dac

[ "MIT" ]

11

2017-10-05T08:59:35.000Z

2021-05-29T01:43:07.000Z

benchbuild/engine.py

sturmianseq/benchbuild

e3cc1a24e877261e90baf781aa67a9d6f6528dac

[ "MIT" ]

326

2016-07-12T08:11:43.000Z

2022-03-28T07:10:11.000Z

benchbuild/engine.py

sturmianseq/benchbuild

e3cc1a24e877261e90baf781aa67a9d6f6528dac

[ "MIT" ]

13

2016-06-17T12:13:35.000Z

2022-01-04T16:09:12.000Z

""" Orchestrate experiment execution. """ import typing as tp import attr from benchbuild.experiment import Experiment from benchbuild.project import Project from benchbuild.utils import actions, tasks ExperimentCls = tp.Type[Experiment] Experiments = tp.List[ExperimentCls] ProjectCls = tp.Type[Project] Projects = t...

25.604167

77

0.68511

151

1,229

5.516556

0.390728

0.057623

0.032413

0.05042

0

0.204231

1,229

47

78

26.148936

0.851738

0.051261

0

0.09375

0

0.027634

0

1

0.125

false

0

0.15625

0

0.5

0.09375

0

null

0

null

0

1

0

f2f4e04a8614d8edbaff0777a5f1c47f01d09f5f

6,751

py

Python

misc_code/fcn_loss_layer.py

kbardool/mrcnn3

f4cbb1e34de97ab08558b56fb7362647436edbd7

[ "MIT" ]

7

2018-08-07T13:56:32.000Z

2021-04-06T11:07:20.000Z

misc_code/fcn_loss_layer.py

kbardool/Contextual-Inference-V2

f4cbb1e34de97ab08558b56fb7362647436edbd7

[ "MIT" ]

null

misc_code/fcn_loss_layer.py

kbardool/Contextual-Inference-V2

f4cbb1e34de97ab08558b56fb7362647436edbd7

[ "MIT" ]

1

2019-02-01T06:52:18.000Z

""" Mask R-CNN Dataset functions and classes. Copyright (c) 2017 Matterport, Inc. Licensed under the MIT License (see LICENSE for details) Written by Waleed Abdulla """ import numpy as np import tensorflow as tf import keras.backend as KB import keras.layers as KL import keras.initiali...

40.915152

123

0.578877

821

6,751

4.518879

0.168088

0.067925

0.037736

0.024259

0.53558

0.486523

0.474394

0.371698

0.278167

0.255526

0

0.017889

0.254777

6,751

165

124

40.915152

0.719539

0.20708

0

0.229885

0

0.19083

0.020548

0

1

0.057471

false

0

0.103448

0.011494

0.218391

0.390805

0

null

0

null

0

1

0

f2f6b4c27e7561e29dbb147f768e0c58a7d09bb7

2,150

py

Python

mysticbit/plots.py

Connossor/mystic-bit

f57f471d3d154560d23bc9eff17fd5b8f284684c

[ "MIT" ]

6

2018-11-23T20:13:53.000Z

2019-02-25T15:54:55.000Z

mysticbit/plots.py

Connossor/mystic-bit

f57f471d3d154560d23bc9eff17fd5b8f284684c

[ "MIT" ]

null

mysticbit/plots.py

Connossor/mystic-bit

f57f471d3d154560d23bc9eff17fd5b8f284684c

[ "MIT" ]

11

2018-11-23T20:55:44.000Z

2021-12-20T17:25:24.000Z

import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns def plot_well_map(df_logs, fig_size=(10, 10)): """ Simple map of locations of nearby wells """ f, ax = plt.subplots(figsize=fig_size) df = df_logs.drop_duplicates(subset=['HACKANAME', 'X', 'Y']) plt.scatter...

28.289474

105

0.58093

315

2,150

3.838095

0.384127

0.01737

0.019851

0.076923

0.072787

0

0.023853

0.239535

2,150

76

106

28.289474

0.715596

0.137209

0

0.046512

0

0.063934

0

1

0.069767

false

0

0.093023

0

0.209302

0

null

0

null

0

1

0

f2fc8f6f95ceeb8cf32d3eeed59de008b87d73f7

556

py

Python

src/appi/oop/classes/class_attributes.py

Kaju-Bubanja/APPI

011afc872a0055ff56001547be6da73017042ad5

[ "MIT" ]

null

src/appi/oop/classes/class_attributes.py

Kaju-Bubanja/APPI

011afc872a0055ff56001547be6da73017042ad5

[ "MIT" ]

null

src/appi/oop/classes/class_attributes.py

Kaju-Bubanja/APPI

011afc872a0055ff56001547be6da73017042ad5

[ "MIT" ]

null

class Student: # class variables school_name = 'ABC School' # constructor def __init__(self, name, age): # instance variables self.name = name self.age = age s1 = Student("Harry", 12) # access instance variables print('Student:', s1.name, s1.age) # access class variable print...

20.592593

42

0.676259

73

556

5.041096

0.30137

0.163043

0.138587

0.097826

0.298913

0

0.024775

0.201439

556

26

43

21.384615

0.804054

0.257194

0

0.307692

0

0.17284

0

1

0.076923

false

0

0.230769

0.307692

0

null

0

null

0

1

0

f2feb8df0aea648f82fd8f4f86ab95ad219d052f

1,878

py

Python

hamster2pdf.py

vleg1991/hamster2pdf

1dda22a39b65a0f24b76d278f3d708ac51d3c262

[ "MIT" ]

null

hamster2pdf.py

vleg1991/hamster2pdf

1dda22a39b65a0f24b76d278f3d708ac51d3c262

[ "MIT" ]

null

hamster2pdf.py

vleg1991/hamster2pdf

1dda22a39b65a0f24b76d278f3d708ac51d3c262

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- import os import datetime import hamster.client import reports import argparse import pdfkit import gettext gettext.install('brainz', '../datas/translations/') # custom settings: reportTitle = "My Activities Report" activityFilter = "unfiled" def valid_date(s): try: ...

27.617647

111

0.736954

243

1,878

5.641975

0.444444

0.032823

0.061999

0.027717

0.231947

0.153173

0.067104

0

0.004225

0.117678

1,878

67

112

28.029851

0.823174

0.087859

0

0.20716

0.012911

0

1

0.025641

false

0

0.179487

0

0.230769

0

null

0

null

0

1

0

f2ff24739f7d32b20b931df9776f794aac82539a

589

py

Python

SingleTon.py

SuperLeis/meituan

71d521826bc50cb8e7bee5617f84e2c26dce1394

[ "MIT" ]

1

2020-05-02T14:30:18.000Z

SingleTon.py

SuperLeis/meituan

71d521826bc50cb8e7bee5617f84e2c26dce1394

[ "MIT" ]

null

SingleTon.py

SuperLeis/meituan

71d521826bc50cb8e7bee5617f84e2c26dce1394

[ "MIT" ]

null

from functools import wraps # created by PL # git hello world def single_ton(cls): _instance = {} @wraps(cls) def single(*args, **kwargs): if cls not in _instance: _instance[cls] = cls(*args, **kwargs) return _instance[cls] return single @single_ton class ...

19.633333

50

0.550085

78

589

3.923077

0.487179

0.058824

0

0.012626

0.327674

589

30

51

19.633333

0.760101

0.049236

0

0.037807

0

1

0.136364

false

0

0.045455

0

0.363636

0.227273

0

null

0

null

0

1

0

8401761cbdcacb5f4d5eb5531d513247beb5261b

10,254

py

Python

datatest/differences.py

ajhynes7/datatest

78742e98de992807286655f5685a2dc33a7b452e

[ "Apache-2.0" ]

277

2016-05-12T13:22:49.000Z

2022-03-11T00:18:32.000Z

datatest/differences.py

ajhynes7/datatest

78742e98de992807286655f5685a2dc33a7b452e

[ "Apache-2.0" ]

57

2016-05-18T01:03:32.000Z

2022-02-17T13:48:43.000Z

datatest/differences.py

ajhynes7/datatest

78742e98de992807286655f5685a2dc33a7b452e

[ "Apache-2.0" ]

16

2016-05-22T11:35:19.000Z

2021-12-01T19:41:42.000Z

"""Difference classes.""" __all__ = [ 'BaseDifference', 'Missing', 'Extra', 'Invalid', 'Deviation', ] from cmath import isnan from datetime import timedelta from ._compatibility.builtins import * from ._compatibility import abc from ._compatibility.contextlib import suppress from ._utils import _...

29.048159

91

0.610396

1,194

10,254

5.025126

0.215243

0.022

0.016333

0.004667

0.282833

0.238167

0.222

0.189

0.183833

0.1505

0

0.010242

0.28584

10,254

352

92

29.130682

0.809095

0.346987

0

0.324022

0

0.094929

0

1

0.134078

false

0

0.039106

0.022346

0.402235

0

null

0

null

0

1

0

8403354322f3d276144123191c8e910a521e71d2

1,945

py

Python

VQ2D/vq2d/baselines/predictor.py

emulhall/episodic-memory

27bafec6e09c108f0efe5ac899eabde9d1ac40cc

[ "MIT" ]

27

2021-10-16T02:39:17.000Z

2022-03-31T11:16:11.000Z

VQ2D/vq2d/baselines/predictor.py

emulhall/episodic-memory

27bafec6e09c108f0efe5ac899eabde9d1ac40cc

[ "MIT" ]

5

2022-03-23T04:53:36.000Z

2022-03-29T23:39:07.000Z

VQ2D/vq2d/baselines/predictor.py

emulhall/episodic-memory

27bafec6e09c108f0efe5ac899eabde9d1ac40cc

[ "MIT" ]

13

2021-11-25T19:17:29.000Z

2022-03-25T14:01:47.000Z

from typing import Any, Dict, List, Sequence import numpy as np import torch from detectron2.engine import DefaultPredictor class SiamPredictor(DefaultPredictor): def __call__( self, original_images: Sequence[np.ndarray], visual_crops: Sequence[np.ndarray], ) -> List[Dict[str, Any]]: ...

38.9

93

0.519794

202

1,945

4.876238

0.425743

0.079188

0.02132

0.039594

0.136041

0.085279

0

0.015

0.383033

1,945

49

94

39.693878

0.805833

0.23599

0

0.029745

0

1

0.029412

false

0

0.117647

0

0.205882

0

null

0

null

0

1

0

840519afb7f020a56b84911fb8113394b9946381

7,626

py

Python

mutagene/benchmark/multiple_benchmark.py

neksa/pymutagene

1122d64a5ab843a4960124933f78f3c2e388a792

[ "CC0-1.0" ]

3

2020-05-18T07:00:46.000Z

2022-02-20T02:55:48.000Z

mutagene/benchmark/multiple_benchmark.py

neksa/pymutagene

1122d64a5ab843a4960124933f78f3c2e388a792

[ "CC0-1.0" ]

31

2020-03-13T16:28:34.000Z

2021-02-27T22:12:15.000Z

mutagene/benchmark/multiple_benchmark.py

neksa/pymutagene

1122d64a5ab843a4960124933f78f3c2e388a792

[ "CC0-1.0" ]

3

2020-03-24T20:01:44.000Z

2020-11-26T17:30:39.000Z

import glob import random import uuid import numpy as np from multiprocessing import Pool from sklearn.metrics import ( recall_score, precision_score, accuracy_score, f1_score, mean_squared_error) from mutagene.io.profile import read_profile_file, write_profile, read_signatures from mutagene.signatures.identify i...

35.142857

141

0.560976

902

7,626

4.569845

0.211752

0.006793

0.009461

0.011645

0.257885

0.154537

0.133188

0.088549

0.056526

0.027414

0

0.034102

0.300157

7,626

216

142

35.305556

0.738242

0.108707

0

0.156028

0

0.014184

0.077719

0.046962

0

1

0.042553

false

0

0.070922

0

0.113475

0.028369

0

null

0

null

0

1

0

8407722043fe4e1043792c735a7c99de2eae2b6e

1,807

py

Python

ckl/run.py

damianbrunold/checkerlang-py

97abe5eda5f692ef61acf906a5f596c65688b582

[ "MIT" ]

null

ckl/run.py

damianbrunold/checkerlang-py

97abe5eda5f692ef61acf906a5f596c65688b582

[ "MIT" ]

null

ckl/run.py

damianbrunold/checkerlang-py

97abe5eda5f692ef61acf906a5f596c65688b582

[ "MIT" ]

null

import argparse import os import sys from ckl.values import ( ValueList, ValueString, NULL ) from ckl.errors import ( CklSyntaxError, CklRuntimeError ) from ckl.interpreter import Interpreter def main(): parser = argparse.ArgumentParser(description="CKL run command") parser.add_argument("...

28.234375

72

0.633094

208

1,807

5.413462

0.389423

0.039964

0.075488

0.0373

0.08881

0.031972

0

0.002146

0.226342

1,807

63

73

28.68254

0.80329

0

0.099059

0.012728

0

1

0.019608

false

0

0.117647

0

0.137255

0.098039

0

null

0

null

0

1

0

840a373b87a5269d4b1deb705abae42b6703a996

21,190

py

Python

Justice-Engine-source/security_monkey/alerters/custom/JusticeEngine.py

sendgrid/JusticeEngine

9b39618c836bfcb120db5fb75557cc45c0105e9f

[ "MIT" ]

1

2019-03-27T18:52:54.000Z

Justice-Engine-source/security_monkey/alerters/custom/JusticeEngine.py

sendgrid/JusticeEngine

9b39618c836bfcb120db5fb75557cc45c0105e9f

[ "MIT" ]

4

2018-08-17T19:10:05.000Z

2018-11-16T16:46:04.000Z

Justice-Engine-source/security_monkey/alerters/custom/JusticeEngine.py

sendgrid/JusticeEngine

9b39618c836bfcb120db5fb75557cc45c0105e9f

[ "MIT" ]

2

2018-10-24T19:19:52.000Z

2018-11-16T16:38:23.000Z

import datetime import fnmatch import hashlib import json import time import arrow import os from botocore.exceptions import ClientError from boto.s3.key import Key from security_monkey.alerters import custom_alerter from security_monkey.common.sts_connect import connect from security_monkey import app, db from securi...

39.313544

131

0.612081

2,615

21,190

4.815679

0.17782

0.027634

0.015564

0.011673

0.252759

0.188279

0.17073

0.161359

0.102517

0.095529

0

0.004593

0.301369

21,190

538

132

39.386617

0.846055

0.310854

0

0.226115

0

0.145452

0.001672

0

1

0.089172

false

0.003185

0.044586

0

0.312102

0

null

0

null

0

1

0

840ab1d9437aeb791d935b51fa2d0357a65758ff

623

py

Python

bot/markups/inline_keyboards.py

Im-zeus/Stickers

f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536

[ "MIT" ]

44

2018-10-30T14:47:14.000Z

2022-03-26T15:17:52.000Z

bot/markups/inline_keyboards.py

Im-zeus/Stickers

f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536

[ "MIT" ]

37

2018-11-09T11:51:15.000Z

2021-12-27T15:08:48.000Z

bot/markups/inline_keyboards.py

Im-zeus/Stickers

f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536

[ "MIT" ]

38

2019-03-27T21:12:23.000Z

2022-01-08T07:57:39.000Z

# noinspection PyPackageRequirements from telegram import InlineKeyboardMarkup, InlineKeyboardButton class InlineKeyboard: HIDE = None REMOVE = None @staticmethod def static_animated_switch(animated=False): static_button = InlineKeyboardButton( '{} normal'.format('☑️' if animated ...

29.666667

71

0.658106

54

623

7.555556

0.537037

0.068627

0

0.243981

623

20

72

31.15

0.853503

0.054575

0

0.098808

0

1

0.066667

false

0

0.066667

0

0.4

0

null

0

null

0

1

0

840ed8b2d962e67e5075227c8b5fb7a2d2b1513b

553

py

Python

python/dp/min_cost_climbing_stairs.py

googege/algo-learn

054d05e8037005c5810906d837de889108dad107

[ "MIT" ]

153

2020-09-24T12:46:51.000Z

2022-03-31T21:30:44.000Z

python/dp/min_cost_climbing_stairs.py

googege/algo-learn

054d05e8037005c5810906d837de889108dad107

[ "MIT" ]

null

python/dp/min_cost_climbing_stairs.py

googege/algo-learn

054d05e8037005c5810906d837de889108dad107

[ "MIT" ]

35

2020-12-22T11:07:06.000Z

2022-03-09T03:25:08.000Z

from typing import List # 使用最小花费爬楼梯 class Solution: def minCostClimbingStairs_1(self, cost: List[int]) -> int: dp = [0 for _ in range(len(cost))] dp[0], dp[1] = cost[0], cost[1] for i in range(2, len(cost)): dp[i] = min(dp[i - 1], dp[i - 2]) + cost[i] return min(dp[-...

26.333333

62

0.529837

84

553

3.452381

0.297619

0.110345

0.082759

0.103448

0.124138

0

0.036745

0.311031

553

21

63

26.333333

0.724409

0.016275

0

1

0.153846

false

0

0.076923

0

0.461538

0

null

0

null

0

1

0

840f7e43205d6e7a06e7d699111b144ac79f0338

10,289

py

Python

pages/graph.py

lmason98/PyGraph

22d734cfd97333578c91ba4e331716df0aec668e

[ "MIT" ]

null

pages/graph.py

lmason98/PyGraph

22d734cfd97333578c91ba4e331716df0aec668e

[ "MIT" ]

null

pages/graph.py

lmason98/PyGraph

22d734cfd97333578c91ba4e331716df0aec668e

[ "MIT" ]

null

""" File: pages/page.py Author: Luke Mason Description: Main part of the application, the actual graph page. """ # Application imports from message import log, error, success from settings import APP_NAME, COLOR, FONT, FONT_SIZE, SCREEN_WIDTH, SCREEN_HEIGHT, WIDTH, HEIGHT, PAD, _QUIT from sprites.vertex import Vertex ...

28.035422

119

0.666051

1,619

10,289

4.136504

0.186535

0.017023

0.035538

0.040765

0.221293

0.178139

0.10766

0.067194

0.052262

0

0.009951

0.21868

10,289

366

120

28.112022

0.823112

0.287297

0

0.265403

0

0.056419

0.00602

0

1

0.07109

false

0

0.037915

0

0.156398

0.009479

0

null

0

null

0

1

0

8413787081f15c4a41a8417aa64436712a8f0d85

603

py

Python

pakcrack/__init__.py

Alpha-Demon404/RE-14

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

39

2020-02-26T09:44:36.000Z

2022-03-23T00:18:25.000Z

pakcrack/__init__.py

B4BY-DG/reverse-enginnering

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

15

2020-05-14T10:07:26.000Z

2022-01-06T02:55:32.000Z

pakcrack/__init__.py

B4BY-DG/reverse-enginnering

b5b46a9f0eee218f2a642b615c77135c33c6f4ad

[ "MIT" ]

41

2020-03-16T22:36:38.000Z

2022-03-17T14:47:19.000Z

# Filenames : <tahm1d> # Python bytecode : 2.7 # Time decompiled : Thu Sep 10 23:29:38 2020 # Selector <module> in line 4 file <tahm1d> # Timestamp in code: 2020-09-02 17:33:14 import os, sys, time from os import system from time import sleep def htrprint(s): for t in s + '\n': sys.stdout.write(t) ...

21.535714

101

0.623549

98

603

3.755102

0.673469

0.054348

0

0.119658

0.223881

603

27

102

22.333333

0.666667

0.27529

0

0.066667

0.316279

0

1

0.133333

false

0

0.2

0

0.333333

0.2

0

null

0

null

0

1

0

8414f299e33cb1d7f5931b3a7e8db59199dffc99

4,165

py

Python

MstarHe2R/components/models.py

IzayoiRin/MstarHe2R

938d83acdfa5ec4464cf9113fef104a6e80ad662

[ "MIT" ]

null

MstarHe2R/components/models.py

IzayoiRin/MstarHe2R

938d83acdfa5ec4464cf9113fef104a6e80ad662

[ "MIT" ]

2

2021-06-08T21:19:41.000Z

2021-09-08T01:54:27.000Z

MstarHe2R/components/models.py

IzayoiRin/MstarHe2R

938d83acdfa5ec4464cf9113fef104a6e80ad662

[ "MIT" ]

null

import os import numpy as np import pandas as pd import torch as th from mstarhe.core.nn.models import PrettyFeedForward from MstarHe2R.components.dataloader import Mstar2RDataLoader __IMG_SIZE__ = 128 * 128 class MSTARNet(PrettyFeedForward): data_loader_class = Mstar2RDataLoader # model_graph_class = AN...

32.038462

100

0.614646

530

4,165

4.592453

0.324528

0.028759

0.036976

0.023418

0.140099

0.071487

0.028759

0

0.011375

0.261224

4,165

129

101

32.286822

0.779656

0.090756

0

0.042105

0

0.047734

0

1

0.094737

false

0

0.073684

0.021053

0.336842

0.021053

0

null

0

null

0

1

0

84188f6567eb4fd0ad0c89e940fd5e2fe14303c7

3,056

py

Python

predict_yolo3_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

2

2020-01-22T19:54:16.000Z

2020-02-07T12:20:17.000Z

predict_yolo3_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

4

2020-06-03T00:27:22.000Z

2020-07-15T17:15:23.000Z

predict_yolo3_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

1

2020-01-21T22:38:22.000Z

#! /usr/bin/env python import time import os import argparse import json import cv2 import sys sys.path += [os.path.abspath('keras-yolo3-master')] from utils.utils import get_yolo_boxes, makedirs from utils.bbox import draw_boxes from tensorflow.keras.models import load_model from tqdm import tqdm import numpy as np ...

32.168421

113

0.629581

408

3,056

4.519608

0.355392

0.048807

0.032538

0.008677

0.021692

0

0.010565

0.194699

3,056

94

114

32.510638

0.738724

0.110602

0

0.131798

0

1

0.019231

false

0

0.230769

0

0.25

0.019231

0

null

0

null

0

1

0

8419172381c9e4256607a0db506cd791eeb0f296

11,655

py

Python

tenning/layers/resnet_block.py

guilherme9820/Tenning

c0fe7695ef3dd791ea1083f39d6b312266fb0512

[ "MIT" ]

null

tenning/layers/resnet_block.py

guilherme9820/Tenning

c0fe7695ef3dd791ea1083f39d6b312266fb0512

[ "MIT" ]

null

tenning/layers/resnet_block.py

guilherme9820/Tenning

c0fe7695ef3dd791ea1083f39d6b312266fb0512

[ "MIT" ]

null

import tensorflow.keras.constraints as constraints from tensorflow.keras.layers import GlobalAveragePooling2D from tensorflow.keras.layers import BatchNormalization from tensorflow.keras.layers import Conv2DTranspose from tensorflow.keras.layers import LeakyReLU from tensorflow.keras.layers import ReLU from tensorflow....

51.8

163

0.620764

1,222

11,655

5.725041

0.134206

0.036592

0.054889

0.03259

0.483133

0.383219

0.309177

0.255575

0.251286

0.20426

0

0.01358

0.286057

11,655

224

164

52.03125

0.827184

0.063406

0

0.111111

0

0.083456

0.009721

0

0.011696

1

0.023392

false

0

0.093567

0

0.134503

0

null

0

null

0

1

0

841dd327848fd2568a5c74230c7b659174fee507

2,961

py

Python

saefportal/datastores/util.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

null

saefportal/datastores/util.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

null

saefportal/datastores/util.py

harry-consulting/SAEF1

055d6e492ba76f90e3248b9da2985fdfe0c6b430

[ "BSD-2-Clause" ]

1

2020-12-16T15:02:52.000Z

import json from collections import defaultdict import fastavro import pandas as pd from django.contrib import messages from django.http import HttpResponseRedirect from django.urls import reverse from datasets.models import Connection from users.models import User def get_supported_file_types(): """Return a li...

34.835294

110

0.695373

394

2,961

5.088832

0.319797

0.02394

0.01197

0.028429

0.05187

0.02793

0

0.002902

0.18541

2,961

84

111

35.25

0.828358

0.172239

0

0.037736

0

0.085204

0

1

0.113208

false

0

0.169811

0

0.433962

0

null

0

null

0

1

0

841fba8a3c7dd4e8b6e7d2a9101dcfe6a12ffb43

637

py

Python

count_div.py

odellus/year_of_code

bfa2b30893bcc12f46e73ac34c63b5b05b27af5f

[ "MIT" ]

1

2017-01-03T02:24:34.000Z

count_div.py

odellus/year_of_code

bfa2b30893bcc12f46e73ac34c63b5b05b27af5f

[ "MIT" ]

null

count_div.py

odellus/year_of_code

bfa2b30893bcc12f46e73ac34c63b5b05b27af5f

[ "MIT" ]

null

#! /usr/bin/python def solution(A, B, K): res = 0 rem_A = A % K rem_B = B % K if rem_A == 0 and rem_B == 0: res = (B - A) / K + 1 elif rem_A == 0 and rem_B != 0: low_B = B - rem_B if low_B >= A: res = (low_B - A) / K + 1 else: res = 0 elif...

21.233333

37

0.400314

113

637

2.044248

0.159292

0.121212

0.08658

0.138528

0.623377

0.5671

0.493506

0

0.045045

0.477237

637

29

38

21.965517

0.648649

0.026688

0

0.48

0

1

0.04

false

0

0.08

0

null

0

null

0

1

0

842128da3d89d5f7a471cc4a5a88b8952b188592

7,216

py

Python

models/DGIFullPipeline.py

nicolas-racchi/hpc2020-graphML

7f0d8b7c18469e1c793c7097bd10a9e0322e75be

[ "Apache-2.0" ]

null

models/DGIFullPipeline.py

nicolas-racchi/hpc2020-graphML

7f0d8b7c18469e1c793c7097bd10a9e0322e75be

[ "Apache-2.0" ]

null

models/DGIFullPipeline.py

nicolas-racchi/hpc2020-graphML

7f0d8b7c18469e1c793c7097bd10a9e0322e75be

[ "Apache-2.0" ]

null

import time import os import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.manifold import TSNE from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import f1_score import stellargraph as sg from stellargraph.mapper import CorruptedGenerator, HinSAGENodeGenerator from st...

33.877934

106

0.651746

991

7,216

4.513623

0.280525

0.029734

0.019674

0.00626

0.133691

0.10351

0.070199

0.057679

0.038453

0

0.017431

0.244734

7,216

213

107

33.877934

0.803303

0.067212

0

0.027397

0

0.013699

0.085233

0.008273

0

1

0.020548

false

0

0.10274

0

0.150685

0.041096

0

null

0

null

0

1

0

842586bea147f3e4d054e06882c5e5cefb545add

1,222

py

Python

physics_planning_games/mujoban/mujoban_level_test.py

mitchchristow/deepmind-research

49c7ebe6acc48dd276ca09eca6924ba6cb5ec3a3

[ "Apache-2.0" ]

10,110

2019-08-27T20:05:30.000Z

2022-03-31T16:31:56.000Z

physics_planning_games/mujoban/mujoban_level_test.py

ibex-training/deepmind-research

6f8ae40b2626b30f5f80dfc92f5676689eff5599

[ "Apache-2.0" ]

317

2019-11-09T10:19:10.000Z

2022-03-31T00:05:19.000Z

physics_planning_games/mujoban/mujoban_level_test.py

ibex-training/deepmind-research

6f8ae40b2626b30f5f80dfc92f5676689eff5599

[ "Apache-2.0" ]

2,170

2019-08-28T12:53:36.000Z

2022-03-31T13:15:11.000Z

# Copyright 2020 DeepMind Technologies Limited. # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...

22.62963

78

0.636661

149

1,222

5.013423

0.604027

0.080321

0.034806

0.042838

0.053548

0

0.007722

0.152209

1,222

53

79

23.056604

0.71332

0.545827

0

0.274254

0

0.038462

1

0.038462

false

0

0.076923

0

0.153846

0

null

0

null

0

1

0

842f1947d1778a3623e9a7a62865a578b298416e

2,027

py

Python

comment/views/blocker.py

Italo-Carvalho/Comment

86424d02a901b74ccbcaa438fffc38f352535301

[ "MIT" ]

75

2018-09-08T14:29:35.000Z

2022-03-25T16:17:06.000Z

comment/views/blocker.py

p0-oya/Comment

39f6fb6c40314d97391d36fc25112d6420c96991

[ "MIT" ]

165

2018-10-07T21:55:31.000Z

2022-02-27T14:44:32.000Z

comment/views/blocker.py

p0-oya/Comment

39f6fb6c40314d97391d36fc25112d6420c96991

[ "MIT" ]

37

2019-12-01T19:44:23.000Z

2022-02-13T16:46:14.000Z

from django.views import View from comment.models import BlockedUser, BlockedUserHistory, Comment from comment.mixins import CanBlockUsersMixin from comment.responses import UTF8JsonResponse, DABResponseData from comment.messages import BlockUserError class BaseToggleBlockingView(DABResponseData): response_class...

34.948276

99

0.655649

208

2,027

6.173077

0.350962

0.111371

0.070093

0.035826

0.042056

0

0.003344

0.262457

2,027

57

100

35.561404

0.855518

0

0.076468

0.010853

0

0.021739

1

0.043478

false

0

0.108696

0

0.304348

0

null

0

null

0

1

0

843c2a9f5e722e97bca056334565acff3143bb58

3,112

py

Python

finetune/TensorFlow/download_model_and_dataset.py

cgouttham/microsoft-hackathon

7e50981e0f165543676504592ad26818db13432f

[ "MIT" ]

340

2019-05-15T06:42:37.000Z

2022-02-23T13:29:34.000Z

finetune/TensorFlow/download_model_and_dataset.py

cgouttham/microsoft-hackathon

7e50981e0f165543676504592ad26818db13432f

[ "MIT" ]

43

2019-05-14T21:26:06.000Z

2022-02-13T02:42:57.000Z

finetune/TensorFlow/download_model_and_dataset.py

cgouttham/microsoft-hackathon

7e50981e0f165543676504592ad26818db13432f

[ "MIT" ]

113

2019-05-23T08:21:48.000Z

2022-03-03T19:18:17.000Z

from __future__ import print_function import argparse import sys import os import shutil import zipfile import urllib parser = argparse.ArgumentParser() ## Required parameters parser.add_argument("--bert_model_name", default = None, type = str, required = Tr...

43.222222

151

0.70662

459

3,112

4.501089

0.272331

0.065344

0.023233

0.040658

0.314618

0.298161

0.173766

0

0.080796

0.176735

3,112

72

152

43.222222

0.725605

0.049165

0

0.163636

0

0.109091

0.42654

0.115098

0

1

0

false

0

0.127273

0

0.127273

0.054545

0

null

0

null

0

1

0

843d9417ba37601232cb640d55f1d03f38cd7f76

3,226

py

Python

python/examples/imagenet/image_reader.py

gongweibao/Serving

d234a1421e8b964c5fa3e9901f57f24aa49e3a91

[ "Apache-2.0" ]

null

python/examples/imagenet/image_reader.py

gongweibao/Serving

d234a1421e8b964c5fa3e9901f57f24aa49e3a91

[ "Apache-2.0" ]

null

python/examples/imagenet/image_reader.py

gongweibao/Serving

d234a1421e8b964c5fa3e9901f57f24aa49e3a91

[ "Apache-2.0" ]

null

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # 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 appli...

32.26

74

0.591135

419

3,226

4.420048

0.329356

0.059395

0.028078

0.017279

0.084233

0.047516

0

0.034127

0.309671

3,226

99

75

32.585859

0.797485

0.274334

0

0.074074

0

0.012739

0

1

0.074074

false

0.018519

0.037037

0

0.203704

0.018519

0

null

0

null

0

1

0