xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

9170343444c1172d149626528603249b2f63831c

370

py

Python

count_files.py

xuannianc/keras-retinanet

d1da39592042927aaf3b3eb905a308c327983bed

[ "Apache-2.0" ]

null

count_files.py

xuannianc/keras-retinanet

d1da39592042927aaf3b3eb905a308c327983bed

[ "Apache-2.0" ]

null

count_files.py

xuannianc/keras-retinanet

d1da39592042927aaf3b3eb905a308c327983bed

[ "Apache-2.0" ]

null

import csv vat_filenames = set() train_csv_filename = 'train_annotations.csv' val_csv_filename = 'val_annotations.csv' for csv_filename in [train_csv_filename, val_csv_filename]: for line in csv.reader(open(csv_filename)): vat_filename = line[0].split('/')[-1] vat_filenames.add(vat_filename) pr...

30.833333

59

0.735135

53

370

4.792453

0.396226

0.259843

0.125984

0

0.006349

0.148649

370

11

60

33.636364

0.8

0

0.110811

0.056757

0

1

0

false

0

0.1

0

0.1

0

null

1

0

null

0

1

917058eae76c95edb3644d77520d9eb1f3e8a1e9

8,908

py

Python

liberaforms/views/admin.py

ngi-nix/liberaforms

5882994736292e7ab34c4c9207805b307478a6c7

[ "MIT" ]

3

2021-09-02T16:45:42.000Z

2022-02-21T19:06:25.000Z

liberaforms/views/admin.py

ngi-nix/liberaforms

5882994736292e7ab34c4c9207805b307478a6c7

[ "MIT" ]

2

2021-08-17T04:13:10.000Z

2021-09-14T22:48:21.000Z

liberaforms/views/admin.py

ngi-nix/liberaforms

5882994736292e7ab34c4c9207805b307478a6c7

[ "MIT" ]

1

2021-08-17T07:13:15.000Z

""" This file is part of LiberaForms. # SPDX-FileCopyrightText: 2020 LiberaForms.org # SPDX-License-Identifier: AGPL-3.0-or-later """ import os, json from flask import g, request, render_template, redirect from flask import session, flash, Blueprint from flask import send_file, after_this_request from flask_babel imp...

36.064777

84

0.635608

1,088

8,908

4.993566

0.153493

0.032211

0.03534

0.050064

0.441377

0.351555

0.283821

0.242039

0.207436

0.147985

0

0.001176

0.236529

8,908

246

85

36.211382

0.797677

0.03132

0

0.270833

0

0.182428

0.049464

0

1

0.088542

false

0

0.078125

0.03125

0.322917

0.015625

0

null

0

null

0

1

0

91705feef5320bb231c5d61b510ee6321361c934

29,405

py

Python

python/zephyr/datasets/score_dataset.py

r-pad/zephyr

c8f45e207c11bfc2b21df169db65a7df892d2848

[ "MIT" ]

18

2021-05-27T04:40:38.000Z

2022-02-08T19:46:31.000Z

python/zephyr/datasets/score_dataset.py

r-pad/zephyr

c8f45e207c11bfc2b21df169db65a7df892d2848

[ "MIT" ]

null

python/zephyr/datasets/score_dataset.py

r-pad/zephyr

c8f45e207c11bfc2b21df169db65a7df892d2848

[ "MIT" ]

2

2021-11-07T12:42:00.000Z

2022-03-01T12:51:54.000Z

import os, copy import cv2 from functools import partial import numpy as np import torch import torchvision from torch.utils.data import Dataset from zephyr.data_util import to_np, vectorize, img2uint8 from zephyr.utils import torch_norm_fast from zephyr.utils.mask_edge import getRendEdgeScore from zephyr...

44.218045

167

0.534875

3,604

29,405

4.122087

0.107658

0.017905

0.015751

0.018309

0.349825

0.287964

0.238018

0.186457

0.1458

0.132337

0

0.018448

0.347424

29,405

664

168

44.284639

0.755745

0.067948

0

0.168357

0

0.054035

0.001689

0

0.008114

1

0.016227

false

0.002028

0.036511

0.002028

0.070994

0.022312

0

null

0

null

0

1

0

91708273d963214e9092983f15d8ef3340677e15

814

py

Python

em Python/Roteiro7/Roteiro7__testes_dijkstra.py

GuilhermeEsdras/Grafos

b6556c3d679496d576f65b798a1a584cd73e40f4

[ "MIT" ]

null

em Python/Roteiro7/Roteiro7__testes_dijkstra.py

GuilhermeEsdras/Grafos

b6556c3d679496d576f65b798a1a584cd73e40f4

[ "MIT" ]

null

em Python/Roteiro7/Roteiro7__testes_dijkstra.py

GuilhermeEsdras/Grafos

b6556c3d679496d576f65b798a1a584cd73e40f4

[ "MIT" ]

null

from Roteiro7.Roteiro7__funcoes import GrafoComPesos # .:: Arquivo de Testes do Algoritmo de Dijkstra ::. # # --------------------------------------------------------------------------- # grafo_aula = GrafoComPesos( ['E', 'A', 'B', 'C', 'D'], { 'E-A': 1, 'E-C': 10, 'A-B': 2, 'B...

22.611111

79

0.395577

103

814

3.048544

0.31068

0.025478

0.10828

0.025478

0.242038

0.210191

0

0.035413

0.271499

814

35

80

23.257143

0.494098

0.15602

0

0.208517

0.036711

0

1

0

false

0

0.034483

0

0.034483

0.172414

0

null

0

1

0

null

0

1

9170b4be66538fa8e6767525842e58971759fde7

356

py

Python

QScreenCast/spyder/api.py

awinia-github/QScreenCast

09d343cae0a1c7f86faf28e08a62bd09976aaf2e

[ "MIT" ]

null

QScreenCast/spyder/api.py

awinia-github/QScreenCast

09d343cae0a1c7f86faf28e08a62bd09976aaf2e

[ "MIT" ]

null

QScreenCast/spyder/api.py

awinia-github/QScreenCast

09d343cae0a1c7f86faf28e08a62bd09976aaf2e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # ---------------------------------------------------------------------------- # Copyright © Tom Hören # Licensed under the terms of the MIT License # ---------------------------------------------------------------------------- """ Python QtScreenCaster Spyder API. """ class ScreenResolutions...

25.428571

78

0.38764

23

356

6.043478

0.956522

0

0.053968

0.115169

356

13

79

27.384615

0.384127

0.775281

0

0.132353

0

1

0

false

0

1

0

1

0

null

0

1

0

null

0

2

917377628f552efbcce428798dd528e6e5fe7134

4,196

py

Python

setup.py

aaron19950321/ICOM

d5bd0705776c505dd1df0a1c76a07fee2d218394

[ "PSF-2.0", "BSD-3-Clause" ]

5

2018-10-09T13:39:31.000Z

2020-03-26T18:39:49.000Z

setup.py

aaron19950321/ICOM

d5bd0705776c505dd1df0a1c76a07fee2d218394

[ "PSF-2.0", "BSD-3-Clause" ]

null

setup.py

aaron19950321/ICOM

d5bd0705776c505dd1df0a1c76a07fee2d218394

[ "PSF-2.0", "BSD-3-Clause" ]

2

2018-10-09T13:39:36.000Z

2018-10-09T23:18:39.000Z

import os, os.path import subprocess from distutils.core import setup from py2exe.build_exe import py2exe PROGRAM_NAME = 'icom_app' PROGRAM_DESC = 'simple icom app' NSIS_SCRIPT_TEMPLATE = r""" !define py2exeOutputDirectory '{output_dir}\' !define exe '{program_name}.exe' ; Uses solid LZMA compression. Ca...

30.18705

81

0.580076

479

4,196

4.966597

0.440501

0.050862

0.025221

0.027743

0.072299

0.02438

0

0.011955

0.322212

4,196

139

82

30.18705

0.824543

0.07817

0

0.019048

0

0.42719

0.013702

0

null

0

0.038095

null

0.019048

0

null

0

null

0

1

0

1

91762cf01e789ac760eedf4942c7a866b5214252

632

py

Python

src/lingcomp/farm/features.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

2

2020-12-18T12:26:22.000Z

2020-12-19T18:47:07.000Z

src/lingcomp/farm/features.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

null

src/lingcomp/farm/features.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

1

2021-05-19T13:39:45.000Z

import torch from farm.data_handler.samples import Sample from farm.modeling.prediction_head import RegressionHead class FeaturesEmbeddingSample(Sample): def __init__(self, id, clear_text, tokenized=None, features=None, feat_embeds=None): super().__init__(id, clear_text, tokenized, features) self....

31.6

88

0.724684

77

632

5.74026

0.584416

0.036199

0.049774

0.090498

0

0.001934

0.181962

632

19

89

33.263158

0.852998

0.129747

0

1

0.166667

false

0

0.25

0

0.666667

0

null

0

null

0

1

0

9176396ea025090d1e564363b18149e19bf37323

5,057

py

Python

manager/tests/api_view_test_classes.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

3

2021-02-03T16:37:19.000Z

2022-02-07T09:59:03.000Z

manager/tests/api_view_test_classes.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

null

manager/tests/api_view_test_classes.py

UN-ICC/icc-digital-id-manager

aca0109b3202b292145326ec5523ee8f24691a83

[ "Apache-2.0" ]

2

2021-02-10T16:03:31.000Z

2022-02-07T08:50:16.000Z

import pytest from rest_framework import status from rest_framework.test import APIClient class TestBase: __test__ = False path = None get_data = {} put_data = {} post_data = {} delete_data = {} requires_auth = True implements_retrieve = False implements_create = False implemen...

31.02454

84

0.721376

615

5,057

5.478049

0.117073

0.089047

0.12615

0.155833

0.648857

0.512615

0.453547

0.34669

0.304541

0.216978

0

0.022613

0.212972

5,057

162

85

31.216049

0.823869

0

0.441667

0

0.013447

0

0.05

1

0.166667

false

0

0.025

0.041667

0.508333

0

null

0

null

0

1

0

1

9176ff87702ba5b114dba78865e902b3d3390b83

2,259

py

Python

dashboard/dashboard.py

TrustyJAID/Toxic-Cogs

870d92067ba2a99b9ade2f957f945b95fdbc80f7

[ "MIT" ]

null

dashboard/dashboard.py

TrustyJAID/Toxic-Cogs

870d92067ba2a99b9ade2f957f945b95fdbc80f7

[ "MIT" ]

null

dashboard/dashboard.py

TrustyJAID/Toxic-Cogs

870d92067ba2a99b9ade2f957f945b95fdbc80f7

[ "MIT" ]

null

from collections import defaultdict import discord from redbot.core import Config, checks, commands from redbot.core.bot import Red from redbot.core.utils.chat_formatting import box, humanize_list, inline from abc import ABC # ABC Mixins from dashboard.abc.abc import MixinMeta from dashboard.abc.mixin impor...

30.945205

110

0.657371

248

2,259

5.895161

0.516129

0.062244

0.05472

0.030096

0

0.019197

0.239044

2,259

72

111

31.375

0.831297

0.107127

0

0.057453

0

1

0.06

false

0

0.26

0.02

0.4

0

null

0

null

0

1

0

91773a1b99193243fe941616b2fc5339f203eb98

410

py

Python

algorithms/162.Find-Peak-Element/Python/solution_2.py

hopeness/leetcode

496455fa967f0704d729b4014f92f52b1d69d690

[ "MIT" ]

null

algorithms/162.Find-Peak-Element/Python/solution_2.py

hopeness/leetcode

496455fa967f0704d729b4014f92f52b1d69d690

[ "MIT" ]

null

algorithms/162.Find-Peak-Element/Python/solution_2.py

hopeness/leetcode

496455fa967f0704d729b4014f92f52b1d69d690

[ "MIT" ]

null

""" https://leetcode.com/problems/find-peak-element/submissions/ """ from typing import List class Solution: def findPeakElement(self, nums: List[int]) -> int: l, r = 0, len(nums)-1 while l < r: lmid = (l + r) // 2 rmid = lmid + 1 if nums[lmid] < nums[rmid]: ...

22.777778

60

0.473171

51

410

3.803922

0.607843

0.030928

0

0.024292

0.397561

410

17

61

24.117647

0.761134

0.146341

0

1

0.083333

false

0

0.083333

0

0.333333

0

null

0

null

0

1

0

9177bf15b6da687a6ae646c46fc3addf65d8004a

2,684

py

Python

data_loader.py

vinbigdata-medical/MIDL2021-Xray-Classification

51359126d07573053059c36e3cd95a7fd7100e0e

[ "MIT" ]

4

2021-04-14T08:04:08.000Z

2021-08-10T10:15:00.000Z

data_loader.py

vinbigdata-medical/MIDL2021-Xray-Classification

51359126d07573053059c36e3cd95a7fd7100e0e

[ "MIT" ]

1

2022-01-13T12:51:31.000Z

data_loader.py

vinbigdata-medical/MIDL2021-Xray-Classification

51359126d07573053059c36e3cd95a7fd7100e0e

[ "MIT" ]

null

from torchvision.datasets import ImageFolder from torchvision import transforms import random import os import torch from torch.utils.data.dataloader import DataLoader from utils import constants, get_default_device from image_folder_with_path import ImageFolderWithPaths def to_device(data, device): """Move tensor...

37.277778

118

0.770492

351

2,684

5.663818

0.287749

0.045775

0.059859

0.091549

0.372233

0.248491

0.191147

0

0.008651

0.138599

2,684

72

119

37.277778

0.851211

0.175857

0

0.139535

0

1

0.093023

false

0

0.186047

0

0.372093

0

null

0

null

0

1

0

9177c031d705388dfe8031bad5b727ad1032aa9e

4,254

py

Python

calliope/test/test_analysis.py

sjpfenninger/calliope

a4e49c3b7d37f908bafc84543510eec0b4cf5d9f

[ "Apache-2.0" ]

1

2019-11-11T15:50:16.000Z

calliope/test/test_analysis.py

mhdella/calliope

a4e49c3b7d37f908bafc84543510eec0b4cf5d9f

[ "Apache-2.0" ]

null

calliope/test/test_analysis.py

mhdella/calliope

a4e49c3b7d37f908bafc84543510eec0b4cf5d9f

[ "Apache-2.0" ]

1

2019-11-11T15:50:18.000Z

# import matplotlib # matplotlib.use('Qt5Agg') # Prevents `Invalid DISPLAY variable` errors import pytest import tempfile from calliope import Model from calliope.utils import AttrDict from calliope import analysis from . import common from .common import assert_almost_equal, solver, solver_io import matplotlib.p...

36.672414

99

0.603197

485

4,254

5.103093

0.305155

0.06303

0.041212

0.027475

0.40404

0.270707

0.245657

0.217374

0

0.018945

0.305125

4,254

115

100

36.991304

0.818336

0.132581

0

0.166667

0

0.211214

0.011976

0

0.008696

0.095238

1

0.142857

false

0

0.095238

0

0.27381

0

null

0

null

0

1

0

917a6b3b8a05d7c695e7c6d3cb38a9324f5ab905

302

py

Python

mol/data/reader.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

mol/data/reader.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

mol/data/reader.py

TzuTingWei/mol

9499925443f389d8e960b6d656f2953d21df3e3b

[ "MIT" ]

null

import os from mol.util import read_xyz dirname = os.path.dirname(os.path.abspath(__file__)) filename = os.path.join(dirname, 'look_and_say.dat') with open(filename, 'r') as handle: look_and_say = handle.read() def get_molecule(filename): return read_xyz(os.path.join(dirname, filename + ".xyz"))

25.166667

58

0.748344

49

302

4.387755

0.530612

0.111628

0.12093

0.15814

0

0.109272

302

11

59

27.454545

0.799257

0

0.069536

0

1

0.125

false

0

0.25

0.125

0.5

0

null

0

null

0

1

0

1

917a93c6b5689f031c6779f12176c0d60e186575

13,198

py

Python

cinder/tests/unit/targets/test_spdknvmf.py

lightsey/cinder

e03d68e42e57a63f8d0f3e177fb4287290612b24

[ "Apache-2.0" ]

3

2015-04-02T21:44:36.000Z

2016-04-29T21:19:04.000Z

cinder/tests/unit/targets/test_spdknvmf.py

lightsey/cinder

e03d68e42e57a63f8d0f3e177fb4287290612b24

[ "Apache-2.0" ]

3

2016-04-29T21:45:26.000Z

2016-05-04T19:41:23.000Z

cinder/tests/unit/targets/test_spdknvmf.py

lightsey/cinder

e03d68e42e57a63f8d0f3e177fb4287290612b24

[ "Apache-2.0" ]

4

2016-01-27T00:25:52.000Z

2021-03-25T19:54:08.000Z

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # d...

32.268949

78

0.539855

1,342

13,198

5.076006

0.195976

0.051527

0.020992

0.027452

0.4931

0.430123

0.412214

0.391368

0.381092

0.361568

0

0.057786

0.329974

13,198

408

79

32.348039

0.712541

0.04137

0

0.451253

0

0.233758

0.048113

0

0.000475

0

0.022284

1

0.050139

false

0.002786

0.016713

0.002786

0.111421

0

null

0

null

0

1

0

917afbcd55aefac0dcfd4785b8010a4e43b0d1c3

4,204

py

Python

server/algos/euler/transformer.py

yizhang7210/Acre

c98cf8a4fdfb223a1958e8e61df759f889a1b13f

[ "MIT" ]

2

2017-11-27T21:55:21.000Z

2017-12-30T03:34:40.000Z

server/algos/euler/transformer.py

yizhang7210/Acre

c98cf8a4fdfb223a1958e8e61df759f889a1b13f

[ "MIT" ]

30

2017-09-06T12:00:08.000Z

2018-06-20T22:47:46.000Z

server/algos/euler/transformer.py

yizhang7210/Acre

c98cf8a4fdfb223a1958e8e61df759f889a1b13f

[ "MIT" ]

1

2021-04-05T13:59:37.000Z

""" This is algos.euler.transformer module. This module is responsible for transforming raw candle data into training samples usable to the Euler algorithm. """ import datetime import decimal from algos.euler.models import training_samples as ts from core.models import instruments from datasource.models import...

35.033333

80

0.674833

553

4,204

4.943942

0.251356

0.075713

0.030724

0.018654

0.17959

0.148135

0.087783

0.046086

0

0.005411

0.252617

4,204

119

81

35.327731

0.864736

0.41746

0

0.04

0

0.006548

0

1

0.1

false

0

0.1

0

0.3

0

null

0

null

0

1

0

917b4bfe42198de5b3e0fb37cbc4743cf9cac201

142

py

Python

diagrams/outscale/__init__.py

analyticsftw/diagrams

217af329a323084bb98031ac1768bc2353e6d9b6

[ "MIT" ]

17,037

2020-02-03T01:30:30.000Z

2022-03-31T18:09:15.000Z

diagrams/outscale/__init__.py

analyticsftw/diagrams

217af329a323084bb98031ac1768bc2353e6d9b6

[ "MIT" ]

529

2020-02-03T10:43:41.000Z

2022-03-31T17:33:08.000Z

diagrams/outscale/__init__.py

analyticsftw/diagrams

217af329a323084bb98031ac1768bc2353e6d9b6

[ "MIT" ]

1,068

2020-02-05T11:54:29.000Z

2022-03-30T23:28:55.000Z

from diagrams import Node class _Outscale(Node): _provider = "outscale" _icon_dir = "resources/outscale" fontcolor = "#ffffff"

15.777778

36

0.690141

15

142

6.266667

0.8

0

0.211268

142

8

37

17.75

0.839286

0

0.232394

0

1

0

false

0

0.2

0

1

0

1

0

null

0

1

0

null

0

1

0

3

917b8eb1f8726a411ad6e99afecc5eaca421cc08

1,793

py

Python

misc/python/mango/application/main_driver/logstream.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

3

2020-05-11T03:23:17.000Z

2021-03-16T09:01:48.000Z

misc/python/mango/application/main_driver/logstream.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

null

misc/python/mango/application/main_driver/logstream.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

2

2017-03-04T11:03:40.000Z

2020-08-01T10:01:36.000Z

__doc__ = \ """ ======================================================================================= Main-driver :obj:`LogStream` variables (:mod:`mango.application.main_driver.logstream`) ======================================================================================= .. currentmodule:: mango.application.ma...

25.985507

108

0.665365

215

1,793

5.288372

0.362791

0.123131

0.118734

0.104661

0.394019

0.332454

0.174142

0.077397

0

0.126603

1,793

68

109

26.367647

0.726054

0.211378

0

0.095238

0

0.008721

0

1

0

false

0

0.428571

0

0.428571

0

null

0

null

0

1

0

1

917c31411ccb8a75122b971cca9ce661e5940151

9,680

py

Python

ucdev/cy7c65211/header.py

luftek/python-ucdev

8d3c46d25551f1237e6a2f7a90d54c24bcb1d4f9

[ "MIT" ]

11

2015-07-08T01:28:01.000Z

2022-01-26T14:29:47.000Z

ucdev/cy7c65211/header.py

luftek/python-ucdev

8d3c46d25551f1237e6a2f7a90d54c24bcb1d4f9

[ "MIT" ]

5

2017-12-07T15:04:00.000Z

2021-06-02T14:47:14.000Z

ucdev/cy7c65211/header.py

tai/python-ucdev

8d3c46d25551f1237e6a2f7a90d54c24bcb1d4f9

[ "MIT" ]

4

2017-02-18T18:20:13.000Z

2022-03-23T16:21:20.000Z

# -*- coding: utf-8-unix -*- import platform ###################################################################### # Platform specific headers ###################################################################### if platform.system() == 'Linux': src = """ typedef bool BOOL; """ #############################...

25.882353

70

0.71095

1,210

9,680

5.194215

0.222314

0.058552

0.102466

0.078918

0.283055

0.258552

0.181543

0.16245

0.155768

0.135879

0

0.044482

0.208058

9,680

373

71

25.951743

0.775372

0.006921

0

0.33795

0

0.990889

0.152749

0

0.006432

0

1

0

false

0

0.00277

0

0.00277

0

null

0

1

0

null

0

1

917c654b7225932aa925e3dba908d54b0c600e75

565

py

Python

deep_qa/layers/wrappers/output_mask.py

richarajpal/deep_qa

d918335a1bed71b9cfccf1d5743321cee9c61952

[ "Apache-2.0" ]

459

2017-02-08T13:40:17.000Z

2021-12-12T12:57:48.000Z

deep_qa/layers/wrappers/output_mask.py

richarajpal/deep_qa

d918335a1bed71b9cfccf1d5743321cee9c61952

[ "Apache-2.0" ]

176

2017-01-26T01:19:41.000Z

2018-04-22T19:16:01.000Z

deep_qa/layers/wrappers/output_mask.py

richarajpal/deep_qa

d918335a1bed71b9cfccf1d5743321cee9c61952

[ "Apache-2.0" ]

154

2017-01-26T01:00:30.000Z

2021-02-05T10:44:42.000Z

from overrides import overrides from ..masked_layer import MaskedLayer class OutputMask(MaskedLayer): """ This Layer is purely for debugging. You can wrap this on a layer's output to get the mask output by that layer as a model output, for easier visualization of what the model is actually doing. ...

26.904762

98

0.695575

82

565

4.768293

0.634146

0.061381

0.071611

0.092072

0

0.242478

565

20

99

28.25

0.913551

0.474336

0

0.222222

0

1

0.222222

false

0

0.222222

0.777778

0

null

0

null

0

1

0

1

0

3

917d1911394719c31fdc868c9c05aa1015cc7576

1,316

py

Python

ljmc/energy.py

karnesh/Monte-Carlo-LJ

f33f08c247df963ca48b9d9f8456e26c0bb19923

[ "MIT" ]

null

ljmc/energy.py

karnesh/Monte-Carlo-LJ

f33f08c247df963ca48b9d9f8456e26c0bb19923

[ "MIT" ]

null

ljmc/energy.py

karnesh/Monte-Carlo-LJ

f33f08c247df963ca48b9d9f8456e26c0bb19923

[ "MIT" ]

null

""" energy.py function that computes the inter particle energy It uses truncated 12-6 Lennard Jones potential All the variables are in reduced units. """ def distance(atom1, atom2): """ Computes the square of inter particle distance Minimum image convention is applied for distance calculatio...

19.352941

101

0.544833

180

1,316

3.983333

0.483333

0.041841

0.050209

0.033473

0

0.041002

0.332827

1,316

67

102

19.641791

0.775626

0.037234

0

0.023952

0

null

0

null

0

null

0

null

0

1

0

1

917d24af3dd098f693a886046f82e8514c7bd83a

2,628

py

Python

CEST/Evaluation/lorenzian.py

ludgerradke/bMRI

dcf93749bb2fba3700e6bcfde691355d55090951

[ "MIT" ]

null

CEST/Evaluation/lorenzian.py

ludgerradke/bMRI

dcf93749bb2fba3700e6bcfde691355d55090951

[ "MIT" ]

null

CEST/Evaluation/lorenzian.py

ludgerradke/bMRI

dcf93749bb2fba3700e6bcfde691355d55090951

[ "MIT" ]

null

import numpy as np import math from scipy.optimize import curve_fit def calc_lorentzian(CestCurveS, x_calcentires, mask, config): (rows, colums, z_slices, entires) = CestCurveS.shape lorenzian = {key: np.zeros((rows, colums, z_slices), dtype=float) for key in config.lorenzian_keys} for k in range(z_slice...

45.310345

117

0.459665

324

2,628

3.530864

0.287037

0.020979

0.028846

0.034965

0.189685

0.081294

0.034091

0

0.057516

0.417808

2,628

57

118

46.105263

0.690196

0.060122

0

0.029197

0

1

0.088889

false

0.022222

0.066667

0.022222

0.222222

0

null

0

null

0

1

0

917ddc860e3cb5987c6d77cf2eda4923d9234d7a

7,572

py

Python

components/network_models_LSTU.py

neuralchen/CooGAN

3155cbb5a283226474356d3a9f01918609ddd4ec

[ "MIT" ]

12

2020-12-09T07:04:12.000Z

2022-03-01T03:30:46.000Z

components/network_models_LSTU.py

neuralchen/CooGAN

3155cbb5a283226474356d3a9f01918609ddd4ec

[ "MIT" ]

null

components/network_models_LSTU.py

neuralchen/CooGAN

3155cbb5a283226474356d3a9f01918609ddd4ec

[ "MIT" ]

4

2020-12-23T03:57:53.000Z

2022-03-28T13:56:14.000Z

#!/usr/bin/env python3 # -*- coding:utf-8 -*- ############################################################# # File: network_models_LSTU.py # Created Date: Tuesday February 25th 2020 # Author: Chen Xuanhong # Email: chenxuanhongzju@outlook.com # Last Modified: Tuesday, 25th February 2020 9:57:06 pm # Modified By: Chen ...

39.233161

118

0.58822

1,119

7,572

3.748883

0.186774

0.026698

0.013349

0.01907

0.366865

0.325387

0.29702

0.257926

0.20739

0.189273

0

0.026734

0.268885

7,572

192

119

39.4375

0.731033

0.148838

0

0.25

0

0.012863

0

1

0.064286

false

0.035714

0.05

0

0.192857

0.007143

0

null

0

null

0

1

0

917e0cc4efaf369d4d17aeaeb0fc5c964a039793

760

py

Python

slender/tests/list/test_keep_if.py

torokmark/slender

3bf815e22f7802ba48706f31ba608cf609e23e68

[ "Apache-2.0" ]

1

2020-01-10T21:51:46.000Z

slender/tests/list/test_keep_if.py

torokmark/slender

3bf815e22f7802ba48706f31ba608cf609e23e68

[ "Apache-2.0" ]

null

slender/tests/list/test_keep_if.py

torokmark/slender

3bf815e22f7802ba48706f31ba608cf609e23e68

[ "Apache-2.0" ]

null

from unittest import TestCase from expects import expect, equal, raise_error from slender import List class TestKeepIf(TestCase): def test_keep_if_if_func_is_none(self): e = List([1, 2, 3, 4, 5]) expect(e.keep_if(None).to_list()).to(equal([1, 2, 3, 4, 5])) def test_keep_if_if_func_is_valid...

28.148148

76

0.628947

133

760

3.323308

0.285714

0.108597

0.033937

0.045249

0.4819

0.475113

0.350679

0.246606

0

0.046667

0.210526

760

26

77

29.230769

0.69

0

0.1875

0

0.003968

0

1

0.25

false

0

0.1875

0

0.5

0

null

0

null

0

1

0

1

9181932ab3632366f38b401fcbe5e47425259914

6,809

py

Python

test/functional/bchn-txbroadcastinterval.py

1Crazymoney/bitcoin-cash-node

8f82823b3c5d4bcb401b0e4e6b464c1228f936e1

[ "MIT" ]

1

2021-11-24T03:54:05.000Z

test/functional/bchn-txbroadcastinterval.py

1Crazymoney/bitcoin-cash-node

8f82823b3c5d4bcb401b0e4e6b464c1228f936e1

[ "MIT" ]

null

test/functional/bchn-txbroadcastinterval.py

1Crazymoney/bitcoin-cash-node

8f82823b3c5d4bcb401b0e4e6b464c1228f936e1

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2020 The Bitcoin Cash Node developers # Author matricz # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """ Test that inv messages are sent according to an exponential distribution with scale -...

46.958621

110

0.679101

800

6,809

5.70625

0.34125

0.045783

0.050602

0.035487

0.147207

0.132749

0.121796

0

0.020995

0.223528

6,809

144

111

47.284722

0.842444

0.321339

0

0.121951

0

0.143231

0.051747

0

0.036585

1

0.085366

false

0

0.060976

0

0.170732

0

null

0

null

0

1

0

91820c594379b0529582b42b9cc165d4cd520738

33,871

py

Python

tests/compute/test_sampler.py

buaaqt/dgl

64f6f3c1a8c2c3e08ec0750b902f3e2c63fd2cd7

[ "Apache-2.0" ]

1

2020-07-21T03:03:15.000Z

tests/compute/test_sampler.py

buaaqt/dgl

64f6f3c1a8c2c3e08ec0750b902f3e2c63fd2cd7

[ "Apache-2.0" ]

null

tests/compute/test_sampler.py

buaaqt/dgl

64f6f3c1a8c2c3e08ec0750b902f3e2c63fd2cd7

[ "Apache-2.0" ]

null

import backend as F import numpy as np import scipy as sp import dgl from dgl import utils import unittest from numpy.testing import assert_array_equal np.random.seed(42) def generate_rand_graph(n): arr = (sp.sparse.random(n, n, density=0.1, format='coo') != 0).astype(np.int64) return dgl.DGLGraph(arr, readon...

46.783149

103

0.575507

4,447

33,871

4.093996

0.063414

0.028562

0.018675

0.020598

0.818412

0.778919

0.754092

0.730913

0.716522

0.703614

0

0.016596

0.322193

33,871

723

104

46.847856

0.776418

0.059638

0

0.686242

1

0

0.016981

0

0.147651

1

0.031879

false

0.001678

0.011745

0.001678

0.04698

0

null

0

1

0

1

0

null

0

7

9183b4d3330e5dc6c4da3188d85901cf1703c4d4

3,178

py

Python

plugins/voila/voila/__init__.py

srinivasreddych/aws-orbit-workbench

2d154addff58d26f5459a73c06148aaf5e9fad46

[ "Apache-2.0" ]

94

2021-03-19T19:55:11.000Z

2022-03-31T19:50:01.000Z

plugins/voila/voila/__init__.py

srinivasreddych/aws-orbit-workbench

2d154addff58d26f5459a73c06148aaf5e9fad46

[ "Apache-2.0" ]

410

2021-03-19T18:04:48.000Z

2022-03-22T13:56:53.000Z

plugins/voila/voila/__init__.py

srinivasreddych/aws-orbit-workbench

2d154addff58d26f5459a73c06148aaf5e9fad46

[ "Apache-2.0" ]

24

2021-03-19T23:16:23.000Z

2022-03-04T01:05:18.000Z

# Copyright Amazon.com, Inc. or its affiliates. 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 # # Unl...

37.833333

116

0.701385

425

3,178

5.04

0.36

0.071895

0.056022

0.029412

0.170868

0.118581

0.096172

0.076564

0

0.002746

0.197923

3,178

83

117

38.289157

0.837583

0.193518

0

0.163934

0

0.131083

0.034144

0

1

0.032787

false

0

0.114754

0

0.147541

0

null

0

null

0

1

0

91848acd7c9a76b40212893d24a66f1267e0b221

4,316

py

Python

tools/generate_driver_list.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

11

2015-08-25T13:11:18.000Z

2020-10-15T11:29:20.000Z

tools/generate_driver_list.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

5

2018-01-25T11:31:56.000Z

2019-05-06T23:13:35.000Z

tools/generate_driver_list.py

aarunsai81/netapp

8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba

[ "Apache-2.0" ]

11

2015-02-20T18:48:24.000Z

2021-01-30T20:26:18.000Z

#! /usr/bin/env python # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...

30.609929

78

0.621177

550

4,316

4.690909

0.345455

0.063953

0.048837

0.029457

0.143798

0.087209

0.066279

0

0.001225

0.243281

4,316

140

79

30.828571

0.788732

0.202271

0

0.069767

0

0.137295

0.026932

0

1

0.116279

false

0

0.046512

0.011628

0.197674

0.081395

0

null

0

null

0

1

0

9184ffff91bd0e91c571446c2eb2a2d6fb77ed63

126

py

Python

Disp_pythonScript.py

maniegley/python

0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc

[ "MIT" ]

1

2019-05-04T03:20:44.000Z

Disp_pythonScript.py

maniegley/python

0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc

[ "MIT" ]

null

Disp_pythonScript.py

maniegley/python

0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc

[ "MIT" ]

null

import sys f = open("/home/vader/Desktop/test.py", "r") #read all file python_script = f.read() print(python_script)

15.75

44

0.666667

20

126

4.1

0.8

0.292683

0

0.174603

126

7

45

18

0.788462

0.103175

0

0.254545

0.245455

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

3

9185566c87d7284eaa28e018591be112687ee8a6

2,001

py

Python

email_file.py

grussr/email-file-attachment

afa65b679b3c88b419643e216b9942fdefeaf9fc

[ "MIT" ]

null

email_file.py

grussr/email-file-attachment

afa65b679b3c88b419643e216b9942fdefeaf9fc

[ "MIT" ]

null

email_file.py

grussr/email-file-attachment

afa65b679b3c88b419643e216b9942fdefeaf9fc

[ "MIT" ]

null

import smtplib import argparse from os.path import basename from email.mime.application import MIMEApplication from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText from email.utils import COMMASPACE, formatdate import configparser import json def send_mail(send_from, send_to, subject, te...

32.274194

155

0.696152

254

2,001

5.314961

0.350394

0.077037

0.056296

0.020741

0.08

0

0.003643

0.176912

2,001

61

156

32.803279

0.816029

0.011994

0

0.108861

0

0.02

0

null

0.08

0.18

null

0.02

0

null

0

null

0

1

0

1

0

2

91860dad187d68b19d0b7553594210d867a8ccc4

70

py

Python

logs/constants.py

gonzatorte/sw-utils

767ec4aa8cbe1e0143f601482024ba1d9b76da64

[ "MIT" ]

null

logs/constants.py

gonzatorte/sw-utils

767ec4aa8cbe1e0143f601482024ba1d9b76da64

[ "MIT" ]

null

logs/constants.py

gonzatorte/sw-utils

767ec4aa8cbe1e0143f601482024ba1d9b76da64

[ "MIT" ]

null

import logging TRACE_LVL = int( (logging.DEBUG + logging.INFO) / 2 )

17.5

53

0.7

10

70

4.8

0.8

0

0.017241

0.171429

70

3

54

23.333333

0.810345

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

9186884237c62f08e8e5c91cdb86f2cf165aa0f6

173

py

Python

examples/simple_lakehouse/simple_lakehouse/repo.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

2

2021-06-21T17:50:26.000Z

2021-06-21T19:14:23.000Z

examples/simple_lakehouse/simple_lakehouse/repo.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

1

2021-06-21T18:30:02.000Z

2021-06-25T21:18:39.000Z

examples/simple_lakehouse/simple_lakehouse/repo.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

1

2021-08-18T17:21:57.000Z

from dagster import repository from simple_lakehouse.pipelines import simple_lakehouse_pipeline @repository def simple_lakehouse(): return [simple_lakehouse_pipeline]

21.625

64

0.849711

20

173

7.05

0.5

0.425532

0.326241

0

0.109827

173

7

65

24.714286

0.915584

0

1

0.2

true

0

0.4

0.2

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

9186f6c899c8a19e537fae60a274b21c711b183a

7,649

py

Python

demos/odyssey/dodyssey.py

steingabelgaard/reportlab

b9a537e8386fb4b4b80e9ec89e0cdf392dbd6f61

[ "BSD-3-Clause" ]

55

2019-09-21T02:45:18.000Z

2021-12-10T13:38:51.000Z

demos/odyssey/dodyssey.py

cnauroth/reportlab

377d4ff58491dc6de48551e730c3d7f72db783e5

[ "BSD-3-Clause" ]

4

2019-09-26T03:16:50.000Z

2021-12-10T13:40:49.000Z

demos/odyssey/dodyssey.py

cnauroth/reportlab

377d4ff58491dc6de48551e730c3d7f72db783e5

[ "BSD-3-Clause" ]

26

2019-09-25T03:54:30.000Z

2022-03-21T14:03:12.000Z

#Copyright ReportLab Europe Ltd. 2000-2017 #see license.txt for license details __version__='3.3.0' __doc__='' #REPORTLAB_TEST_SCRIPT import sys, copy, os from reportlab.platypus import * _NEW_PARA=os.environ.get('NEW_PARA','0')[0] in ('y','Y','1') _REDCAP=int(os.environ.get('REDCAP','0')) _CALLBACK=os.environ.get('CA...

31.093496

104

0.587397

1,060

7,649

4.195283

0.248113

0.03463

0.010119

0.006746

0.204183

0.117158

0.07848

0.061839

0.037104

0

0.024272

0.245915

7,649

245

105

31.220408

0.746706

0.023532

0

0.211823

0

0.126759

0.009782

0

1

0.083744

false

0

0.054187

0

0.147783

0.049261

0

null

0

null

0

1

0

9187649de93ea28a41bff761a58a3a5d39922848

764

py

Python

tests/test_fred_fred_view.py

Traceabl3/GamestonkTerminal

922353cade542ce3f62701e10d816852805b9386

[ "MIT" ]

null

tests/test_fred_fred_view.py

Traceabl3/GamestonkTerminal

922353cade542ce3f62701e10d816852805b9386

[ "MIT" ]

null

tests/test_fred_fred_view.py

Traceabl3/GamestonkTerminal

922353cade542ce3f62701e10d816852805b9386

[ "MIT" ]

null

""" econ/fred_view.py tests """ import unittest from unittest import mock from io import StringIO import pandas as pd # pylint: disable=unused-import from gamestonk_terminal.econ.fred_view import get_fred_data # noqa: F401 fred_data_mock = """ ,GDP 2019-01-01,21115.309 2019-04-01,21329.877 2019-07-01,21540.325 2019-...

24.645161

80

0.747382

128

764

4.257813

0.492188

0.102752

0.066055

0.091743

0.106422

0

0.199102

0.125654

764

30

81

25.466667

0.616766

0.086387

0

0.33913

0.071014

0

1

0.045455

false

0

0.227273

0

0.318182

0

null

0

null

0

1

0

9187aae337945bbf532915814ef30a4e08766d0c

10,938

py

Python

python27/1.0/lib/linux/gevent/pool.py

jt6562/XX-Net

7b78e4820a3c78c3ba3e75b3917129d17f00e9fc

[ "BSD-2-Clause" ]

2

2017-04-24T03:04:45.000Z

2017-09-19T03:38:37.000Z

python27/1.0/lib/linux/gevent/pool.py

TDUncle/XX-Net

24b2af60dc0abc1c26211813064bb14c1e22bac8

[ "BSD-2-Clause" ]

null

python27/1.0/lib/linux/gevent/pool.py

TDUncle/XX-Net

24b2af60dc0abc1c26211813064bb14c1e22bac8

[ "BSD-2-Clause" ]

1

2019-04-19T09:11:54.000Z

# Copyright (c) 2009-2010 Denis Bilenko. See LICENSE for details. """Managing greenlets in a group. The :class:`Group` class in this module abstracts a group of running greenlets. When a greenlet dies, it's automatically removed from the group. The :class:`Pool` which a subclass of :class:`Group` provides a way to li...

31.162393

132

0.598555

1,288

10,938

4.944099

0.189441

0.028266

0.024026

0.020729

0.318781

0.281721

0.24152

0.226445

0.203832

0.17902

0

0.00329

0.305266

10,938

350

133

31.251429

0.834715

0.037484

0

0.403162

0

0.022311

0.002491

0

0.002857

0.007905

0

null

0.011858

0.027668

null

0

null

0

null

0

1

0

1

9187b814b570a612e2b93ab230ce46d039efd3f1

4,974

py

Python

lecarb/estimator/lw/lw_tree.py

anshumandutt/AreCELearnedYet

e2286c3621dea8e4961057b6197c1e14e75aea5a

[ "MIT" ]

34

2020-12-14T01:21:29.000Z

2022-03-29T04:52:46.000Z

lecarb/estimator/lw/lw_tree.py

anshumandutt/AreCELearnedYet

e2286c3621dea8e4961057b6197c1e14e75aea5a

[ "MIT" ]

5

2020-12-28T16:06:22.000Z

2022-01-19T18:28:53.000Z

lecarb/estimator/lw/lw_tree.py

anshumandutt/AreCELearnedYet

e2286c3621dea8e4961057b6197c1e14e75aea5a

[ "MIT" ]

12

2021-02-08T17:50:13.000Z

2022-03-28T11:09:06.000Z

import time import logging from typing import Dict, Any, Tuple import pickle import numpy as np import xgboost as xgb from .common import load_lw_dataset, encode_query, decode_label from ..postgres import Postgres from ..estimator import Estimator from ..utils import evaluate, run_test from ...dataset.dataset import ...

34.783217

130

0.65963

696

4,974

4.518678

0.242816

0.015898

0.01717

0.026709

0.231797

0.201908

0.133545

0.103657

0.081399

0

0.007366

0.208484

4,974

142

131

35.028169

0.791466

0.06916

0

0.137255

0

0.019608

0.14208

0.032855

0

1

0.068627

false

0

0.127451

0

0.245098

0

null

0

null

0

1

0

9187ef6ed78f1f18095fecd6ea3ce015376d4dfc

2,525

py

Python

fsim/utils.py

yamasampo/fsim

30100789b03981dd9ea11c5c2e17a3c53910f724

[ "MIT" ]

null

fsim/utils.py

yamasampo/fsim

30100789b03981dd9ea11c5c2e17a3c53910f724

[ "MIT" ]

null

fsim/utils.py

yamasampo/fsim

30100789b03981dd9ea11c5c2e17a3c53910f724

[ "MIT" ]

null

import os import configparser from warnings import warn def read_control_file(control_file): # Initialize ConfigParser object config = configparser.ConfigParser( strict=True, comment_prefixes=('/*', ';', '#'), inline_comment_prefixes=('/*', ';', '#') ) # Parse control file ...

32.371795

98

0.613861

325

2,525

4.593846

0.369231

0.073677

0.026792

0.029471

0.045546

0

0.003231

0.264554

2,525

77

99

32.792208

0.800754

0.100198

0

0.253221

0.013772

0

0.017857

1

0.053571

false

0

0.053571

0

0.125

0.035714

0

null

0

null

0

1

0

918946b8867e4746cc6439a71e8ab2ad6d7dc6a7

2,950

py

Python

src/pymortests/function.py

mahgadalla/pymor

ee2806b4c93748e716294c42454d611415da7b5e

[ "Unlicense" ]

1

2021-07-26T12:58:50.000Z

src/pymortests/function.py

mahgadalla/pymor

ee2806b4c93748e716294c42454d611415da7b5e

[ "Unlicense" ]

null

src/pymortests/function.py

mahgadalla/pymor

ee2806b4c93748e716294c42454d611415da7b5e

[ "Unlicense" ]

null

# This file is part of the pyMOR project (http://www.pymor.org). # Copyright 2013-2017 pyMOR developers and contributors. All rights reserved. # License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause) import numpy as np import pytest from pymor.core.pickle import dumps, loads from pymor.functions....

38.815789

108

0.671186

410

2,950

4.697561

0.297561

0.037383

0.050883

0.047767

0.275182

0.188474

0.141225

0.106957

0.066459

0

0.029055

0.218305

2,950

75

109

39.333333

0.806158

0.146102

0

0.096154

0

0.288462

1

0.115385

false

0

0.134615

0

0.25

0

null

0

null

0

1

0

918a293306bf241e1a965c6b6c86f2b524157237

4,603

py

Python

Code/userIDCrawler.py

CarberZ/social-media-mining

41aee64a41244a0692987b75b30dedbd0552be49

[ "MIT" ]

2

2018-10-16T23:09:00.000Z

2018-11-14T04:08:00.000Z

Code/userIDCrawler.py

CarberZ/social-media-mining

41aee64a41244a0692987b75b30dedbd0552be49

[ "MIT" ]

1

2018-11-14T04:06:13.000Z

2018-11-14T04:15:56.000Z

Code/userIDCrawler.py

CarberZ/social-media-mining

41aee64a41244a0692987b75b30dedbd0552be49

[ "MIT" ]

1

2018-11-14T04:06:31.000Z

''' step 1 get the userID and their locations put them all into a database ''' from bs4 import BeautifulSoup import urllib import sqlite3 from selenium import webdriver import time import re from urllib import request import random import pickle import os import pytesseract url_dog = "http...

30.483444

138

0.550728

497

4,603

5.070423

0.374245

0.036111

0.047619

0.020238

0.184127

0.12619

0.103968

0.029365

0

0.027653

0.324354

4,603

150

139

30.686667

0.782637

0.13274

0

0.072289

0

0.012048

0.167916

0.020816

0

1

0.036145

false

0

0.13253

0

0.253012

0.012048

0

null

0

null

0

1

0

918a3b0f516ea68dd89954d9a42756ad875c22c6

33

py

Python

src/stoat/core/structure/__init__.py

saarkatz/guppy-struct

b9099353312c365cfd788dbd2d168a9c844765be

[ "Apache-2.0" ]

1

2021-12-07T11:59:11.000Z

src/stoat/core/structure/__init__.py

saarkatz/stoat-struct

b9099353312c365cfd788dbd2d168a9c844765be

[ "Apache-2.0" ]

null

src/stoat/core/structure/__init__.py

saarkatz/stoat-struct

b9099353312c365cfd788dbd2d168a9c844765be

[ "Apache-2.0" ]

null

from .structure import Structure

16.5

32

0.848485

4

33

7

0.75

0

0.121212

33

1

33

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

918a81c6af8725a4b95ff16551cc06a18c633a21

709

py

Python

tbase/network/polices_test.py

iminders/TradeBaselines

26eb87f2bcd5f6ff479149219b38b17002be6a40

[ "MIT" ]

16

2020-03-19T15:12:28.000Z

2021-12-20T06:02:32.000Z

tbase/network/polices_test.py

iminders/TradeBaselines

26eb87f2bcd5f6ff479149219b38b17002be6a40

[ "MIT" ]

14

2020-03-23T03:57:00.000Z

2021-12-20T05:53:33.000Z

tbase/network/polices_test.py

iminders/TradeBaselines

26eb87f2bcd5f6ff479149219b38b17002be6a40

[ "MIT" ]

7

2020-03-25T00:30:18.000Z

2021-01-31T18:45:09.000Z

import unittest import numpy as np from tbase.common.cmd_util import set_global_seeds from tbase.network.polices import RandomPolicy class TestPolices(unittest.TestCase): @classmethod def setUpClass(self): set_global_seeds(0) def test_random_policy(self): policy = RandomPolicy(2) ...

25.321429

65

0.671368

84

709

5.464286

0.5

0.039216

0.061002

0.104575

0.352941

0

0.076087

0.221439

709

27

66

26.259259

0.755435

0.023977

0

0.222222

0

0.011611

0

0.111111

1

0.111111

false

0

0.222222

0

0.388889

0

null

0

null

0

1

0

918a8725328fa6920f55c21e0bb7c5f7406c3135

36,887

py

Python

keystone/tests/unit/core.py

knikolla/keystone

50f0a50cf4d52d3f61b64713bd4faa7a4626ae53

[ "Apache-2.0" ]

null

keystone/tests/unit/core.py

knikolla/keystone

50f0a50cf4d52d3f61b64713bd4faa7a4626ae53

[ "Apache-2.0" ]

null

keystone/tests/unit/core.py

knikolla/keystone

50f0a50cf4d52d3f61b64713bd4faa7a4626ae53

[ "Apache-2.0" ]

null

# Copyright 2012 OpenStack Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in...

34.217996

79

0.619676

4,443

36,887

4.979743

0.186811

0.023593

0.031458

0.018983

0.273446

0.231322

0.196158

0.155299

0.134734

0.117876

0

0.007054

0.281319

36,887

1,077

80

34.249768

0.827537

0.194893

0

0.301501

0

0.001364

0.097711

0.01699

0

0.001857

0.030014

1

0.100955

false

0.013643

0.05457

0.017735

0.245566

0.001364

0

null

0

null

0

1

0

918dd351f71913e5bfee0b534327c85070c34d0b

17,327

py

Python

PyISY/Nodes/__init__.py

sneelco/PyISY

f1f916cd7951b1b6a5235bb36444c695fe3294e1

[ "Apache-2.0" ]

null

PyISY/Nodes/__init__.py

sneelco/PyISY

f1f916cd7951b1b6a5235bb36444c695fe3294e1

[ "Apache-2.0" ]

null

PyISY/Nodes/__init__.py

sneelco/PyISY

f1f916cd7951b1b6a5235bb36444c695fe3294e1

[ "Apache-2.0" ]

null

from .group import Group from .node import (Node, parse_xml_properties, ATTR_ID) from time import sleep from xml.dom import minidom class Nodes(object): """ This class handles the ISY nodes. This class can be used as a dictionary to navigate through the controller's structure to objects of type :cla...

36.324948

100

0.48612

1,749

17,327

4.719268

0.168096

0.024231

0.021323

0.012358

0.221468

0.188636

0.147807

0.12915

0

0.005745

0.417326

17,327

476

101

36.401261

0.811807

0.137416

0

0.302115

0

0.047904

0

0.000275

0

1

0.07855

false

0.003021

0.012085

0.006042

0.190332

0

null

0

null

0

1

0

918e36c7c2d321203012c2cecdfb70b87e94940f

1,329

py

Python

easyCore/Utils/Logging.py

easyScience/easyCore

5d16d5b27803277d0c44886f94dab599f764ae0b

[ "BSD-3-Clause" ]

2

2021-11-02T10:22:45.000Z

2022-02-18T23:41:19.000Z

easyCore/Utils/Logging.py

easyScience/easyCore

5d16d5b27803277d0c44886f94dab599f764ae0b

[ "BSD-3-Clause" ]

114

2020-06-30T08:52:27.000Z

2022-03-30T20:47:56.000Z

easyCore/Utils/Logging.py

easyScience/easyCore

5d16d5b27803277d0c44886f94dab599f764ae0b

[ "BSD-3-Clause" ]

1

2022-03-04T13:01:09.000Z

# SPDX-FileCopyrightText: 2021 easyCore contributors <core@easyscience.software> # SPDX-License-Identifier: BSD-3-Clause # © 2021 Contributors to the easyCore project <https://github.com/easyScience/easyCore> __author__ = 'github.com/wardsimon' __version__ = '0.1.0' import logging class Logger: def __init__...

36.916667

91

0.645598

152

1,329

5.434211

0.513158

0.048426

0.053269

0.05569

0

0.014213

0.258841

1,329

35

92

37.971429

0.82335

0.536494

0

0.049091

0

1

0.166667

false

0

0.083333

0

0.416667

0

null

0

null

0

1

0

91903bbb82369647bc8ec6646143a89d378edc88

234

py

Python

iqoptionapi/http/billing.py

mustx1/MYIQ

3afb597aa8a8abc278b7d70dad46af81789eae3e

[ "MIT" ]

3

2021-06-05T06:58:01.000Z

2021-11-25T23:52:18.000Z

iqoptionapi/http/billing.py

mustx1/MYIQ

3afb597aa8a8abc278b7d70dad46af81789eae3e

[ "MIT" ]

5

2022-01-20T00:32:49.000Z

2022-02-16T23:12:10.000Z

iqoptionapi/http/billing.py

mustx1/MYIQ

3afb597aa8a8abc278b7d70dad46af81789eae3e

[ "MIT" ]

2

2020-11-10T19:03:38.000Z

2020-12-07T10:42:36.000Z

"""Module for IQ option billing resource.""" from iqoptionapi.http.resource import Resource class Billing(Resource): """Class for IQ option billing resource.""" # pylint: disable=too-few-public-methods url = "billing"

21.272727

47

0.709402

29

234

5.724138

0.62069

0.271084

0.13253

0.216867

0.313253

0

0.17094

234

10

48

23.4

0.85567

0.495727

0

0.065421

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

919092189581e9b39163223362020fad3bbd08e7

3,416

py

Python

defaultsob/core.py

honewatson/defaults

c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81

[ "0BSD" ]

null

defaultsob/core.py

honewatson/defaults

c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81

[ "0BSD" ]

null

defaultsob/core.py

honewatson/defaults

c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81

[ "0BSD" ]

null

# -*- coding: utf-8 -*- def ordered_set(iter): """Creates an ordered set @param iter: list or tuple @return: list with unique values """ final = [] for i in iter: if i not in final: final.append(i) return final def class_slots(ob): """Get object attributes from...

27.772358

77

0.624415

447

3,416

4.599553

0.241611

0.029183

0.01751

0.011673

0

0.000833

0.297424

3,416

122

78

28

0.855833

0.425351

0

0.081633

0

0.022183

0

1

0.183673

false

0

0.367347

0

null

0

null

0

1

0

9190a55060e46f0f4d728a8eb6583235a5fc4dcf

3,140

py

Python

tests/bot_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

36

2017-06-12T01:09:46.000Z

2021-01-31T17:57:41.000Z

tests/bot_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

145

2017-06-21T13:31:29.000Z

2021-06-20T01:01:30.000Z

tests/bot_test.py

item4/yui

8628d0d54b94ada3cbe7d1b0f624063258bad10a

[ "MIT" ]

21

2017-07-24T15:53:19.000Z

2021-12-23T04:18:31.000Z

import asyncio from collections import defaultdict from datetime import timedelta import pytest from yui.api import SlackAPI from yui.bot import Bot from yui.box import Box from yui.types.slack.response import APIResponse from yui.utils import json from .util import FakeImportLib def test_bot_init(event_loop, monk...

27.787611

75

0.605414

367

3,140

5.111717

0.217984

0.074627

0.095949

0.154584

0.567697

0.541045

0.491471

0

0.023671

0.233121

3,140

112

76

28.035714

0.755399

0

0.446809

0

0.214331

0.007325

0

0.148936

1

0.010638

false

0

0.138298

0

0.148936

0

null

0

null

0

1

0

9190bf228865d048848fd87f601781ac36e5057a

2,901

py

Python

scripts/marker_filter.py

CesMak/aruco_detector_ocv

bb45e39664247779cbbbc8d37b89c4556b4984d6

[ "BSD-3-Clause" ]

12

2019-03-12T08:47:07.000Z

2022-02-09T03:59:39.000Z

scripts/marker_filter.py

vprooks/simple_aruco_detector

40cb7354d7da67028c91b4c4652e8c4a1d2abbbb

[ "MIT" ]

3

2020-07-02T04:25:10.000Z

2021-08-31T15:56:13.000Z

scripts/marker_filter.py

CesMak/aruco_detector_ocv

bb45e39664247779cbbbc8d37b89c4556b4984d6

[ "BSD-3-Clause" ]

11

2019-10-25T17:36:44.000Z

2022-02-16T17:12:38.000Z

#!/usr/bin/env python import numpy as np import rospy import geometry_msgs.msg import tf2_ros from tf.transformations import quaternion_slerp def translation_to_numpy(t): return np.array([t.x, t.y, t.z]) def quaternion_to_numpy(q): return np.array([q.x, q.y, q.z, q.w]) if __name__ == '__main__': rosp...

36.2625

109

0.666322

352

2,901

5.215909

0.286932

0.092593

0.103486

0.073529

0.08061

0

0.015131

0.24819

2,901

79

110

36.721519

0.826685

0.055843

0

0.033898

0

0.045355

0

1

0.033898

false

0

0.084746

0.033898

0.152542

0

null

0

null

0

1

0

9190f1884667aaeb95f3ee0745ae12dfce3341d8

3,713

py

Python

src/backbone/utils.py

hankyul2/FaceDA

73006327df3668923d4206f81d4976ca1240329d

[ "Apache-2.0" ]

20

2021-11-26T18:05:30.000Z

2022-02-15T12:21:10.000Z

src/backbone/utils.py

hankyul2/FaceDA

73006327df3668923d4206f81d4976ca1240329d

[ "Apache-2.0" ]

null

src/backbone/utils.py

hankyul2/FaceDA

73006327df3668923d4206f81d4976ca1240329d

[ "Apache-2.0" ]

1

2022-02-15T12:21:17.000Z

import os import subprocess from pathlib import Path from torch.hub import load_state_dict_from_url import numpy as np model_urls = { # ResNet 'resnet18': 'https://download.pytorch.org/models/resnet18-f37072fd.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-b627a593.pth', 'resnet50':...

50.175676

127

0.720442

503

3,713

5.091451

0.260437

0.052714

0.078094

0.089809

0.56228

0.370558

0.283483

0

0.084704

0.131969

3,713

73

128

50.863014

0.709898

0.015082

0

0.096154

0.552329

0.024932

0

1

0.057692

false

0

0.096154

0

0.192308

0

null

0

null

0

1

0

91918e0b4360daa841c2dd658213e7f9249510fa

702

py

Python

crawler1.py

pjha1994/Scrape_reddit

2a00a83854085e09f0cf53aef81969025876039b

[ "Apache-2.0" ]

null

crawler1.py

pjha1994/Scrape_reddit

2a00a83854085e09f0cf53aef81969025876039b

[ "Apache-2.0" ]

null

crawler1.py

pjha1994/Scrape_reddit

2a00a83854085e09f0cf53aef81969025876039b

[ "Apache-2.0" ]

null

import requests from bs4 import BeautifulSoup def recursiveUrl(url, link, depth): if depth == 5: return url else: print(link['href']) page = requests.get(url + link['href']) soup = BeautifulSoup(page.text, 'html.parser') newlink = soup.find('a') if len(newlink) =...

27

62

0.602564

88

702

4.795455

0.431818

0.106635

0.090047

0.085308

0.165877

0

0.009709

0.266382

702

26

63

27

0.809709

0

0.173913

0

0.076814

0

1

0.086957

false

0

0.086957

0

0.347826

0.086957

0

null

0

null

0

1

0

9191a318c08b49c9339f1e4504f721d3f2d1d83b

2,428

py

Python

chime2/tests/normal/models/seir_test.py

BrianThomasRoss/CHIME-2

f084ab552fac5e50841a922293b74d653450790b

[ "BSD-3-Clause" ]

null

chime2/tests/normal/models/seir_test.py

BrianThomasRoss/CHIME-2

f084ab552fac5e50841a922293b74d653450790b

[ "BSD-3-Clause" ]

null

chime2/tests/normal/models/seir_test.py

BrianThomasRoss/CHIME-2

f084ab552fac5e50841a922293b74d653450790b

[ "BSD-3-Clause" ]

1

2020-11-19T23:08:52.000Z

"""Tests for SEIR model in this repo * Compares conserved quantities * Compares model against SEIR wo social policies in limit to SIR """ from pandas import Series from pandas.testing import assert_frame_equal, assert_series_equal from bayes_chime.normal.models import SEIRModel, SIRModel from pytest import fixture fro...

28.232558

81

0.710461

340

2,428

4.773529

0.347059

0.033272

0.027726

0.046211

0.039433

0

0.017409

0.195634

2,428

85

82

28.564706

0.81362

0.177924

0

0.039216

0

0.083376

0.02046

0

0.058824

1

0.078431

false

0

0.098039

0

0.215686

0

null

0

null

0

1

0

91928996da1f5de4298b9395563c76e7f7e3542f

4,681

py

Python

Libraries/mattsLibraries/mathOperations.py

mrware91/PhilTransA-TRXS-Limits

5592c6c66276cd493d10f066aa636aaf600d3a00

[ "MIT" ]

null

Libraries/mattsLibraries/mathOperations.py

mrware91/PhilTransA-TRXS-Limits

5592c6c66276cd493d10f066aa636aaf600d3a00

[ "MIT" ]

2

2018-06-19T00:01:27.000Z

2018-10-16T18:33:24.000Z

Libraries/mattsLibraries/mathOperations.py

mrware91/PhilTransA-TRXS-Limits

5592c6c66276cd493d10f066aa636aaf600d3a00

[ "MIT" ]

null

import numpy as np from scipy.interpolate import interp1d from pyTools import * ################################################################################ #~~~~~~~~~Log ops ################################################################################ def logPolyVal(p,x): ord = p.order() logs = [] ...

32.734266

129

0.470626

663

4,681

3.300151

0.221719

0.014625

0.015082

0.034278

0.326325

0.285649

0.234461

0.190585

0.157678

0.131627

0

0.032709

0.19013

4,681

142

130

32.964789

0.544447

0.026063

0

0.147368

0

0.053824

0

1

0.147368

false

0

0.031579

0.010526

0.326316

0

null

0

null

0

1

0

9192d6d1ce77aea0159f3db895468368ec72c08a

592

py

Python

setup.py

avryhof/ambient_api

08194b5d8626801f2c2c7369adacb15eace54802

[ "MIT" ]

20

2018-12-24T15:40:49.000Z

2022-01-10T18:58:41.000Z

setup.py

avryhof/ambient_api

08194b5d8626801f2c2c7369adacb15eace54802

[ "MIT" ]

10

2018-08-17T02:01:45.000Z

2021-01-08T23:34:59.000Z

setup.py

avryhof/ambient_api

08194b5d8626801f2c2c7369adacb15eace54802

[ "MIT" ]

14

2018-06-13T23:40:12.000Z

2022-01-05T06:34:13.000Z

from setuptools import setup setup( name="ambient_api", version="1.5.6", packages=["ambient_api"], url="https://github.com/avryhof/ambient_api", license="MIT", author="Amos Vryhof", author_email="amos@vryhofresearch.com", description="A Python class for accessing the Ambient Weather API...

29.6

72

0.640203

64

592

5.84375

0.765625

0.080214

0

0.012903

0.214527

592

19

73

31.157895

0.791398

0

0.535473

0.038851

0

1

0

true

0

0.055556

0

0.055556

0

null

0

null

0

1

0

1

9192df0712738e90f6f197873c3a465c79101722

585

py

Python

tests/llvm/static/test_main_is_found/test_main_is_found.py

ganeshutah/FPChecker

53a471429762ace13f69733cb2f8b7227fc15b9f

[ "Apache-2.0" ]

19

2019-09-28T16:15:45.000Z

2022-02-15T15:11:28.000Z

tests/llvm/static/test_main_is_found/test_main_is_found.py

tanmaytirpankar/FPChecker

d3fe4bd9489c5705df58a67dbbc388ac1ebf56bf

[ "Apache-2.0" ]

16

2020-02-01T18:43:00.000Z

2021-12-22T14:47:39.000Z

tests/llvm/static/test_main_is_found/test_main_is_found.py

tanmaytirpankar/FPChecker

d3fe4bd9489c5705df58a67dbbc388ac1ebf56bf

[ "Apache-2.0" ]

5

2020-07-27T18:15:36.000Z

2021-11-01T18:43:34.000Z

#!/usr/bin/env python import subprocess import os def setup_module(module): THIS_DIR = os.path.dirname(os.path.abspath(__file__)) os.chdir(THIS_DIR) def teardown_module(module): cmd = ["make clean"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) def test_1(): cmd...

22.5

82

0.666667

79

585

4.797468

0.56962

0.063325

0.126649

0.158311

0.337731

0

0.004274

0.2

585

25

83

23.4

0.805556

0.034188

0

0.125

0

0.079929

0

0.0625

1

0.1875

false

0.1875

0.125

0

0.3125

0

null

0

null

0

1

0

1

919312f26ed57e4c093335409a623694c54be188

877

py

Python

regipy/exceptions.py

kamnon/regipy

12d3be9da631dcc0d6fb342767e51ec4799141c6

[ "MIT" ]

190

2019-03-06T09:13:08.000Z

2022-03-19T14:43:34.000Z

regipy/exceptions.py

kamnon/regipy

12d3be9da631dcc0d6fb342767e51ec4799141c6

[ "MIT" ]

117

2019-05-15T12:22:46.000Z

2022-03-30T10:43:03.000Z

regipy/exceptions.py

kamnon/regipy

12d3be9da631dcc0d6fb342767e51ec4799141c6

[ "MIT" ]

37

2019-03-12T14:46:12.000Z

2022-01-12T11:07:10.000Z

class RegipyException(Exception): """ This is the parent exception for all regipy exceptions """ pass class RegipyGeneralException(RegipyException): """ General exception """ pass class RegistryValueNotFoundException(RegipyException): pass class NoRegistrySubkeysException(Regipy...

18.270833

75

0.741163

74

877

8.783784

0.554054

0.124615

0.221538

0

0.196123

877

47

76

18.659574

0.921986

0.242873

0

0.473684

0

1

0

true

0.473684

0

0.526316

0

null

0

1

0

null

0

1

0

1

0

4

91936b7f0195e57ee35ddf84cdb73c2bef559977

745

py

Python

Dynamic_Programming/1259.Integer Replacement/Solution_BFS.py

Zhenye-Na/LxxxCode

afd79d790d0a7495d75e6650f80adaa99bd0ff07

[ "MIT" ]

12

2019-05-04T04:21:27.000Z

2022-03-02T07:06:57.000Z

Dynamic_Programming/1259.Integer Replacement/Solution_BFS.py

Zhenye-Na/LxxxCode

afd79d790d0a7495d75e6650f80adaa99bd0ff07

[ "MIT" ]

1

2019-07-24T18:43:53.000Z

Dynamic_Programming/1259.Integer Replacement/Solution_BFS.py

Zhenye-Na/LxxxCode

afd79d790d0a7495d75e6650f80adaa99bd0ff07

[ "MIT" ]

10

2019-07-01T04:03:04.000Z

2022-03-09T03:57:37.000Z

from collections import deque class Solution: """ @param n: a positive integer @return: the minimum number of replacements """ def integerReplacement(self, n): # Write your code here steps = 0 if n == 1: return steps queue = deque([n]) while q...

23.28125

47

0.436242

76

745

4.263158

0.539474

0.064815

0.12963

0.092593

0

0.02584

0.480537

745

31

48

24.032258

0.81137

0.127517

0

0.095238

0

0.032258

0

1

0.047619

false

0

0.047619

0

0.285714

0.047619

0

null

0

null

0

1

0

1

91941908fbc07382f07b7bc44926ab4220545f9d

947

py

Python

src/routes/web.py

enflo/weather-flask

c4d905e1f557b4c9b39d0a578fdbb6fefc839028

[ "Apache-2.0" ]

null

src/routes/web.py

enflo/weather-flask

c4d905e1f557b4c9b39d0a578fdbb6fefc839028

[ "Apache-2.0" ]

null

src/routes/web.py

enflo/weather-flask

c4d905e1f557b4c9b39d0a578fdbb6fefc839028

[ "Apache-2.0" ]

null

from flask import Blueprint, render_template from gateways.models import getWeatherData web = Blueprint("web", __name__, template_folder='templates') @web.route("/", methods=['GET']) def home(): items = getWeatherData.get_last_item() cityName = items["city"] return render_template("index.html", ...

32.655172

61

0.564942

87

947

6

0.37931

0.10728

0.074713

0.099617

0.367816

0.252874

0

0.001486

0.289335

947

28

62

33.821429

0.774146

0.414995

0

0.104779

0

1

0.083333

false

0

0.166667

0

0.333333

0.166667

0

null

0

null

0

1

0

9195f3cdb36a82835721ebe4e4fc6cc7220eecc8

677

py

Python

changes/buildsteps/lxc.py

bowlofstew/changes

ebd393520e0fdb07c240a8d4e8747281b6186e28

[ "Apache-2.0" ]

null

changes/buildsteps/lxc.py

bowlofstew/changes

ebd393520e0fdb07c240a8d4e8747281b6186e28

[ "Apache-2.0" ]

null

changes/buildsteps/lxc.py

bowlofstew/changes

ebd393520e0fdb07c240a8d4e8747281b6186e28

[ "Apache-2.0" ]

null

from __future__ import absolute_import from changes.buildsteps.default import DefaultBuildStep class LXCBuildStep(DefaultBuildStep): """ Similar to the default build step, except that it runs the client using the LXC adapter. """ def can_snapshot(self): return True def get_label(self...

27.08

75

0.680945

81

677

5.530864

0.506173

0.066964

0.040179

0

0.225997

677

24

76

28.208333

0.854962

0.129985

0

0.087873

0

1

0.285714

false

0

0.142857

0.214286

0.785714

0

null

0

null

0

1

0

1

0

3

91979003f9cb74dc9f591b8277facbe005dfd825

532

py

Python

swapidemo1.py

anvytran-dev/mycode

3753c19828f0ecc506a6450bb6b71b4a5d651e5f

[ "MIT" ]

null

swapidemo1.py

anvytran-dev/mycode

3753c19828f0ecc506a6450bb6b71b4a5d651e5f

[ "MIT" ]

null

swapidemo1.py

anvytran-dev/mycode

3753c19828f0ecc506a6450bb6b71b4a5d651e5f

[ "MIT" ]

null

#!/usr/bin/env python3 """Star Wars API HTTP response parsing""" # requests is used to send HTTP requests (get it?) import requests URL= "https://swapi.dev/api/people/1" def main(): """sending GET request, checking response""" # SWAPI response is stored in "resp" object resp= requests.get(URL) # wh...

22.166667

52

0.654135

77

532

4.415584

0.675325

0.064706

0

0.004717

0.203008

532

23

53

23.130435

0.79717

0.468045

0

0.329588

0

1

0.125

false

0

0.125

0

0.25

0

null

0

null

0

1

0

9197f982af32fc988794515b093dd5bf984c98a5

4,132

py

Python

src/biota_models/vegetation/model/constants_json_create.py

Deltares/NBSDynamics

4710da529d85b588ea249f6e2b4f4cac132bb34f

[ "MIT" ]

2

2022-01-14T05:02:04.000Z

2022-03-02T10:42:59.000Z

src/biota_models/vegetation/model/constants_json_create.py

Deltares/NBSDynamics

4710da529d85b588ea249f6e2b4f4cac132bb34f

[ "MIT" ]

35

2021-11-01T08:59:02.000Z

2021-11-19T16:47:17.000Z

src/biota_models/vegetation/model/constants_json_create.py

Deltares/NBSDynamics

4710da529d85b588ea249f6e2b4f4cac132bb34f

[ "MIT" ]

1

2022-03-16T07:11:00.000Z

import json schema = { "Spartina": { "ColStart": "2000-04-01", "ColEnd": "2000-05-31", "random": 7, "mud_colonization": [0.0, 0.0], "fl_dr": 0.005, "Maximum age": 20, "Number LifeStages": 2, "initial root length": 0.05, "initial shoot length":...

43.494737

76

0.547193

580

4,132

3.841379

0.181034

0.010772

0.007181

0.766158

0.706912

0.675045

0.593357

0.426391

0.373429

0

0.153587

0.281462

4,132

94

77

43.957447

0.596834

0.232091

0

0.282609

0

0.407702

0

1

0

false

0

0.01087

0

0.01087

0

null

0

1

0

null

0

1

9198600a03831a59503bb3d3f2827b284d0e1c16

2,316

bzl

Python

format/format.bzl

harshad-deo/TorchVI

f66d1486201368c9906869477ba7ae254d2e7191

[ "Apache-2.0" ]

null

format/format.bzl

harshad-deo/TorchVI

f66d1486201368c9906869477ba7ae254d2e7191

[ "Apache-2.0" ]

null

format/format.bzl

harshad-deo/TorchVI

f66d1486201368c9906869477ba7ae254d2e7191

[ "Apache-2.0" ]

null

def _replace_formatted(ctx, manifest, files): out = ctx.actions.declare_file(ctx.label.name) # this makes it easier to add variables file_lines = [ """#!/bin/bash -e WORKSPACE_ROOT="${1:-$BUILD_WORKSPACE_DIRECTORY}" """, """RUNPATH="${TEST_SRCDIR-$0.runfiles}"/""" + ctx.workspace_name, ...

30.473684

88

0.577288

254

2,316

5.070866

0.346457

0.046584

0.037267

0.048913

0.091615

0

0.001786

0.274611

2,316

75

89

30.88

0.764881

0.015976

0

0.09434

0

0.055904

0.01255

0

1

0.056604

false

0

0.113208

0

null

0

null

0

1

0

91993f87e0ff04f74f7a6f31b278e5b76bf7a8ba

1,376

py

Python

Stream-3/Full-Stack-Development/10.Custom-User-And-Email-Authentication/2.Custom-User-Model/auth_demo/accounts/models.py

GunnerJnr/_CodeInstitute

efba0984a3dc71558eef97724c85e274a712798c

[ "MIT" ]

4

2017-10-10T14:00:40.000Z

2021-01-27T14:08:26.000Z

Stream-3/Full-Stack-Development/10.Custom-User-And-Email-Authentication/2.Custom-User-Model/auth_demo/accounts/models.py

GunnerJnr/_CodeInstitute

efba0984a3dc71558eef97724c85e274a712798c

[ "MIT" ]

115

2019-10-24T11:18:33.000Z

2022-03-11T23:15:42.000Z

Stream-3/Full-Stack-Development/10.Custom-User-And-Email-Authentication/2.Custom-User-Model/auth_demo/accounts/models.py

GunnerJnr/_CodeInstitute

efba0984a3dc71558eef97724c85e274a712798c

[ "MIT" ]

5

2017-09-22T21:42:39.000Z

2020-02-07T02:18:11.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib.auth.models import AbstractUser, UserManager from django.db import models from django.utils import timezone # Create your models here. # Create our new user class class AccountUserManager(UserManager): def _create_user(self, usern...

32

95

0.641715

167

1,376

5.155689

0.497006

0.03252

0.031359

0

0.001012

0.281977

1,376

42

96

32.761905

0.870445

0.303052

0

0.034325

0

1

0.052632

false

0.105263

0.210526

0

0.473684

0

null

0

null

0

1

0

1

919b5dc79a4db8bc0c773739c3eacec33d693967

11,973

py

Python

histoGAN.py

mahmoudnafifi/HistoGAN

50be1482638ace3ec85d733e849dec494ede155b

[ "MIT" ]

169

2020-11-25T07:42:26.000Z

2022-03-30T03:08:35.000Z

histoGAN.py

mahmoudnafifi/HistoGAN

50be1482638ace3ec85d733e849dec494ede155b

[ "MIT" ]

22

2020-12-22T13:14:24.000Z

2022-03-31T08:41:26.000Z

histoGAN.py

mahmoudnafifi/HistoGAN

50be1482638ace3ec85d733e849dec494ede155b

[ "MIT" ]

19

2020-11-28T17:28:46.000Z

2022-02-23T06:09:23.000Z

""" If you find this code useful, please cite our paper: Mahmoud Afifi, Marcus A. Brubaker, and Michael S. Brown. "HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms." In CVPR, 2021. @inproceedings{afifi2021histogan, title={Histo{GAN}: Controlling Colors of {GAN}-Generated and R...

39.127451

80

0.647791

1,554

11,973

4.725869

0.158301

0.044118

0.083333

0.023965

0.430283

0.323393

0.306236

0.290441

0.280093

0.259123

0

0.014808

0.227261

11,973

305

81

39.255738

0.778967

0.038336

0

0.241758

1

0

0.161669

0.02512

0

1

0.007326

false

0

0.040293

0

0.054945

0.029304

0

null

0

1

0

null

0

1

919b5e557651de3e6e934fa6c4b16a3e517ceea9

501

py

Python

apps/careeropportunity/migrations/0003_careeropportunity_deadline.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

32

2017-02-22T13:38:38.000Z

2022-03-31T23:29:54.000Z

apps/careeropportunity/migrations/0003_careeropportunity_deadline.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

694

2017-02-15T23:09:52.000Z

2022-03-31T23:16:07.000Z

apps/careeropportunity/migrations/0003_careeropportunity_deadline.py

Kpaubert/onlineweb4

9ac79f163bc3a816db57ffa8477ea88770d97807

[ "MIT" ]

35

2017-09-02T21:13:09.000Z

2022-02-21T11:30:30.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.9.10 on 2016-10-05 18:52 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("careeropportunity", "0002_careeropportunity_job_type")] operations = [ migrations.AddFie...

26.368421

87

0.670659

54

501

6.037037

0.759259

0

0.053435

0.215569

501

18

88

27.833333

0.776081

0.135729

0

1

0

0.197674

0.072093

0

1

0

false

0

0.181818

0

0.454545

0

null

0

1

0

null

0

1

919c72f34a550015e3cadb40b602759ce1ee194d

14,482

py

Python

benchmark/python/ffi/benchmark_ffi.py

grygielski/incubator-mxnet

45952e21a35e32a04b7607b121085973369a42db

[ "BSL-1.0", "Apache-2.0" ]

211

2016-06-06T08:32:36.000Z

2021-07-03T16:50:16.000Z

benchmark/python/ffi/benchmark_ffi.py

grygielski/incubator-mxnet

45952e21a35e32a04b7607b121085973369a42db

[ "BSL-1.0", "Apache-2.0" ]

42

2017-01-05T02:45:13.000Z

2020-08-11T23:45:27.000Z

benchmark/python/ffi/benchmark_ffi.py

grygielski/incubator-mxnet

45952e21a35e32a04b7607b121085973369a42db

[ "BSL-1.0", "Apache-2.0" ]

58

2016-10-27T07:37:08.000Z

2021-07-03T16:50:17.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...

51.90681

116

0.646596

1,922

14,482

4.74974

0.221124

0.177128

0.31986

0.072845

0.459634

0.367729

0.288531

0.193121

0.132873

0.073173

0

0.048544

0.160751

14,482

278

117

52.093525

0.702567

0.059039

0

0.028807

0

0.172216

0

1

0.028807

false

0

0.028807

0

0.082305

0.012346

0

null

0

1

0

null

0

1

919e14a6393eda0c7e38c0fd3d5e470f7982030f

11,038

py

Python

first-floor.py

levabd/smart-climat-daemon

8ff273eeb74fb03ea04fda11b0128fa13d35b500

[ "MIT" ]

null

first-floor.py

levabd/smart-climat-daemon

8ff273eeb74fb03ea04fda11b0128fa13d35b500

[ "MIT" ]

1

2021-06-02T03:55:13.000Z

first-floor.py

levabd/smart-climat-daemon

8ff273eeb74fb03ea04fda11b0128fa13d35b500

[ "MIT" ]

null

#!/usr/bin/env python3 import json import argparse import re import datetime import paramiko import requests # cmd ['ssh', 'smart', # 'mkdir -p /home/levabd/smart-home-temp-humidity-monitor; # cat - > /home/levabd/smart-home-temp-humidity-monitor/lr.json'] from miio import chuangmi_plug from btlewrap import availabl...

37.80137

118

0.602102

1,379

11,038

4.704133

0.171139

0.030831

0.032064

0.018499

0.631417

0.566209

0.539232

0.480962

0.449669

0.433945

0

0.055024

0.252491

11,038

291

119

37.931271

0.731184

0.111705

0

0.486486

0

0.004505

0.217982

0.055858

0

1

0.058559

false

0.004505

0.040541

0

0.202703

0.058559

0

null

0

null

0

1

0

919e36250164a66af6592305ae454fa0dbde1d43

642

py

Python

reservior_classification.py

Optimist-Prime/QML-for-MNIST-classification

7513b3faa548166dba3df927a248e8c7f1ab2a15

[ "BSD-3-Clause" ]

1

2020-02-04T12:51:47.000Z

reservior_classification.py

Optimist-Prime/QML-for-MNIST-classification

7513b3faa548166dba3df927a248e8c7f1ab2a15

[ "BSD-3-Clause" ]

null

reservior_classification.py

Optimist-Prime/QML-for-MNIST-classification

7513b3faa548166dba3df927a248e8c7f1ab2a15

[ "BSD-3-Clause" ]

null

import pickle from sklearn.neural_network import MLPClassifier train = pickle.load(open('train_pca_reservoir_output_200samples.pickle','rb')) test = pickle.load(open('test_pca_reservoir_output_50samples.pickle','rb')) train_num = 200 test_num = 50 mlp = MLPClassifier(hidden_layer_sizes=(2000,), max_iter=100, alpha=1...

37.764706

78

0.700935

99

642

4.333333

0.535354

0.055944

0.065268

0.055944

0.195804

0.11655

0

0.059783

0.140187

642

16

79

40.125

0.717391

0

0.207165

0.133956

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

919f4e67778a5a961b0e58f4deb0ff4d5a7ee8e6

4,099

py

Python

util.py

delmarrerikaine/LPG-PCA

deb631ee2c4c88190ce4204fcbc0765ae5cd8f53

[ "MIT" ]

1

2021-05-07T01:00:18.000Z

util.py

delmarrerikaine/LPG-PCA

deb631ee2c4c88190ce4204fcbc0765ae5cd8f53

[ "MIT" ]

null

util.py

delmarrerikaine/LPG-PCA

deb631ee2c4c88190ce4204fcbc0765ae5cd8f53

[ "MIT" ]

2

2019-06-29T16:30:32.000Z

2020-11-18T17:40:47.000Z

import numpy as np import pandas as pd from skimage import io import skimage.measure as measure import os from lpg_pca_impl import denoise def getNoisedImage(originalImage, variance): # return random_noise(originalImage, mode='gaussian', var=variance) np.random.seed(42) noise = np.random.normal(size=origi...

36.598214

141

0.658941

562

4,099

4.553381

0.24911

0.051973

0.065651

0.040641

0.227042

0.157093

0.04533

0

0.014072

0.185167

4,099

111

142

36.927928

0.752096

0.015858

0

0.026316

0

0.141865

0.009673

0

1

0.118421

false

0

0.078947

0.039474

0.263158

0.065789

0

null

0

null

0

1

0

91a0653094ec563d20865f6d3bbca729f2752582

3,178

py

Python

ui/ui.py

kringen/wingnut

73be4f8393720ff0932ab069543e5f2d2308296d

[ "MIT" ]

null

ui/ui.py

kringen/wingnut

73be4f8393720ff0932ab069543e5f2d2308296d

[ "MIT" ]

null

ui/ui.py

kringen/wingnut

73be4f8393720ff0932ab069543e5f2d2308296d

[ "MIT" ]

null

import redis from rq import Queue, Connection from flask import Flask, render_template, Blueprint, jsonify, request import tasks import rq_dashboard from wingnut import Wingnut app = Flask( __name__, template_folder="./templates", static_folder="./static", ) app.config.from_object(rq_dashb...

29.425926

77

0.608559

337

3,178

5.52819

0.25816

0.082662

0.064412

0.072464

0.331723

0.271605

0.234031

0

0.014523

0.241661

3,178

107

78

29.700935

0.758506

0

0.308511

0

0.189113

0.020768

0

1

0.06383

false

0

0.06383

0.010638

0.191489

0.021277

0

null

0

null

0

1

0

91a50c39cf3d401ee6a7a290edb9d36a330b0540

42

py

Python

pytaboola/__init__.py

Openmail/pytaboola

ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436

[ "MIT" ]

null

pytaboola/__init__.py

Openmail/pytaboola

ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436

[ "MIT" ]

2

2020-04-27T23:41:57.000Z

2020-07-30T20:48:59.000Z

pytaboola/__init__.py

Openmail/pytaboola

ed71b3b9c5fb2e4452d4b6d40aec1ff037dd5436

[ "MIT" ]

null

from pytaboola.client import TaboolaClient

42

0.904762

5

42

7.6

1

0

0.071429

42

1

42

0.974359

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

91a63511fb79b5745ac6428aee3eedeaa5046fe6

1,410

py

Python

omkar/code.py

omi28/ga-learner-dst-repo

396c35ea56028717a96aed6ca771e39ebf68dc5b

[ "MIT" ]

null

omkar/code.py

omi28/ga-learner-dst-repo

396c35ea56028717a96aed6ca771e39ebf68dc5b

[ "MIT" ]

null

omkar/code.py

omi28/ga-learner-dst-repo

396c35ea56028717a96aed6ca771e39ebf68dc5b

[ "MIT" ]

null

# -------------- # Importing header files import numpy as np import warnings warnings.filterwarnings('ignore') new_record=[[50, 9, 4, 1, 0, 0, 40, 0]] #New record #Reading file data = np.genfromtxt(path, delimiter=",", skip_header=1) data.shape cenus=np.concatenate((new_record,data),axis=0) cenus....

20.434783

57

0.719858

246

1,410

3.878049

0.247967

0.050314

0.057652

0.041929

0.062893

0

0.039231

0.114184

1,410

68

58

20.735294

0.72458

0.085816

0

0.005771

0

1

0

false

0

0.04

0

0.04

0.26

0

null

0

null

0

1

0

91a824d6a95f0e9a4a572ff289971a58109b3c3c

3,887

py

Python

test/present.py

jchampio/apache-websocket

18ad4ae2fc99381b8d75785f492a479f789b322b

[ "Apache-2.0" ]

8

2015-09-10T21:49:25.000Z

2022-02-02T04:39:00.000Z

test/present.py

jchampio/apache-websocket

18ad4ae2fc99381b8d75785f492a479f789b322b

[ "Apache-2.0" ]

34

2015-09-10T21:40:09.000Z

2020-09-04T22:16:08.000Z

test/present.py

jchampio/apache-websocket

18ad4ae2fc99381b8d75785f492a479f789b322b

[ "Apache-2.0" ]

5

2016-01-22T05:16:54.000Z

2017-10-18T12:28:02.000Z

#! /usr/bin/env python # # Presents the results of an Autobahn TestSuite run in TAP format. # # Copyright 2015 Jacob Champion # # 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://ww...

28.792593

84

0.623874

496

3,887

4.818548

0.362903

0.025105

0.010879

0.013389

0.033473

0

0.013107

0.273733

3,887

134

85

29.007463

0.83351

0.289426

0

0.026316

0

0.141492

0

1

0.026316

false

0.105263

0.078947

0

0.131579

0.118421

0

null

0

null

0

1

0

1

91a977f44ca6b26789c3c66246a46fa0280ee2a7

1,143

py

Python

softwarecollections/scls/migrations/0004_other_repos_default_values.py

WEBZCC/softwarecollections

efee5c3c276033d526a0cdba504d43deff71581e

[ "BSD-3-Clause" ]

39

2016-12-24T02:57:55.000Z

2022-02-15T09:29:43.000Z

softwarecollections/scls/migrations/0004_other_repos_default_values.py

WEBZCC/softwarecollections

efee5c3c276033d526a0cdba504d43deff71581e

[ "BSD-3-Clause" ]

32

2016-11-21T15:05:07.000Z

2021-12-06T11:52:32.000Z

softwarecollections/scls/migrations/0004_other_repos_default_values.py

WEBZCC/softwarecollections

efee5c3c276033d526a0cdba504d43deff71581e

[ "BSD-3-Clause" ]

13

2016-12-14T10:42:22.000Z

2022-01-01T20:35:15.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('scls', '0003_other_repos'), ] operations = [ migrations.AlterField( model_name='otherrepo', name='ar...

32.657143

185

0.582677

107

1,143

6.056075

0.420561

0.123457

0.154321

0.179012

0.552469

0.510802

0.381173

0.16358

0

0.013095

0.265092

1,143

34

186

33.617647

0.758333

0.018373

0

0.428571

0

0.14375

0

1

0

false

0

0.071429

0

0.178571

0

null

0

1

0

null

0

1

91aa65150dc0f4a17f1e9ed16821f5753cc86fa6

389

py

Python

python/Excel/enumerateCells.py

davidgjy/arch-lib

b4402b96d2540995a848e6c5f600b2d99847ded6

[ "Apache-2.0" ]

null

python/Excel/enumerateCells.py

davidgjy/arch-lib

b4402b96d2540995a848e6c5f600b2d99847ded6

[ "Apache-2.0" ]

null

python/Excel/enumerateCells.py

davidgjy/arch-lib

b4402b96d2540995a848e6c5f600b2d99847ded6

[ "Apache-2.0" ]

null

import openpyxl wb = openpyxl.load_workbook('example.xlsx') sheet = wb.get_sheet_by_name('Sheet1') rows = sheet.get_highest_row() cols = sheet.get_highest_column() for i in range(1, rows + 1): for j in range(1, cols + 1): print('%s: %s' % (sheet.cell(row=i, column=j).coordinate, sheet.cell(row=i, column=j)....

32.416667

96

0.59126

57

389

3.894737

0.491228

0.072072

0.135135

0.117117

0.18018

0

0.014925

0.138817

389

12

97

32.416667

0.647761

0

0.182058

0.118734

0

1

0

false

0

0.111111

0

0.111111

0.222222

0

null

0

null

0

1

0

91ab6aa12f229c7b9ddab5414461949479dfe028

787

py

Python

plugins/polio/migrations/0029_campaign_country.py

BLSQ/iaso-copy

85fb17f408c15e8c2d730416d1312f58f8db39b7

[ "MIT" ]

29

2020-12-26T07:22:19.000Z

2022-03-07T13:40:09.000Z

plugins/polio/migrations/0029_campaign_country.py

BLSQ/iaso-copy

85fb17f408c15e8c2d730416d1312f58f8db39b7

[ "MIT" ]

150

2020-11-09T15:03:27.000Z

2022-03-07T15:36:07.000Z

plugins/polio/migrations/0029_campaign_country.py

BLSQ/iaso

95c8087c0182bdd576598eb8cd39c440e58e15d7

[ "MIT" ]

4

2020-11-09T10:38:13.000Z

2021-10-04T09:42:47.000Z

# Generated by Django 3.1.13 on 2021-10-04 11:44 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ("iaso", "0107_auto_20211001_1845"), ("polio", "0028_remove_campaign_budget_first_draft_submitted_at"), ] op...

28.107143

90

0.590851

83

787

5.385542

0.698795

0.053691

0.06264

0.098434

0

0.066298

0.310038

787

27

91

29.148148

0.756906

0.05845

0

0.095238

1

0

0.255751

0.101489

0

1

0

false

0

0.095238

0

0.238095

0

null

0

1

0

null

0

1

91ac9d140e7247cc524f64941c877611ed2cbd70

6,257

py

Python

CurrencyExchange.py

aarana14/CurrencyExchange

e3f35c1481acf19683a74a41509b1dd37ae48594

[ "MIT" ]

null

CurrencyExchange.py

aarana14/CurrencyExchange

e3f35c1481acf19683a74a41509b1dd37ae48594

[ "MIT" ]

null

CurrencyExchange.py

aarana14/CurrencyExchange

e3f35c1481acf19683a74a41509b1dd37ae48594

[ "MIT" ]

null

#import external libraries used in code import requests, json import pycountry print('Currency Exchange') currencies = [] def findCurrency(): #Finds all avaliable currencies allCurrency = (list(pycountry.currencies)) for x in allCurrency: y = str(x) y = y[18:21] #Adds th...

38.863354

189

0.61563

739

6,257

5.184032

0.281461

0.028191

0.031323

0.036544

0.144871

0.102062

0.052728

0.024537

0

0.007687

0.293112

6,257

160

190

39.10625

0.858467

0.307496

0

0.215686

0

0.019608

0.194088

0.005331

0

1

0.078431

false

0.009804

0.019608

0

0.147059

0.137255

0

null

0

null

0

1

0

91ad7c273462430b62373174e1161a8ff1416f63

715

py

Python

atcoder/corp/codethxfes2014a_e.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/corp/codethxfes2014a_e.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/corp/codethxfes2014a_e.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

r, c, m = map(int, input().split()) n = int(input()) op = [list(map(lambda x: int(x) - 1, input().split())) for _ in range(n)] board = [[0 for _ in range(c)] for _ in range(r)] for ra, rb, ca, cb in op: for j in range(ra, rb + 1): for k in range(ca, cb + 1): board[j][k] += 1 cnt = 0 for i in ra...

25.535714

73

0.439161

129

715

2.410853

0.24031

0.22508

0.096463

0.106109

0.205788

0

0.036036

0.379021

715

27

74

26.481481

0.664414

0

0.16

0

1

0

false

0

0.04

0

null

1

0

null

0

1

91ad8a5fd94219e90c24839542dbfefd0cc9fc70

6,142

py

Python

scripts/analyse_bse.py

QU-XIAO/yambopy

ff65a4f90c1bfefe642ebc61e490efe781709ff9

[ "BSD-3-Clause" ]

21

2016-04-07T20:53:29.000Z

2021-05-14T08:06:02.000Z

scripts/analyse_bse.py

alexmoratalla/yambopy

8ec0e1e18868ccaadb3eab36c55e6a47021e257d

[ "BSD-3-Clause" ]

22

2016-06-14T22:29:47.000Z

2021-09-16T15:36:26.000Z

scripts/analyse_bse.py

alexmoratalla/yambopy

8ec0e1e18868ccaadb3eab36c55e6a47021e257d

[ "BSD-3-Clause" ]

15

2016-06-14T18:40:57.000Z

2021-08-07T13:17:43.000Z

# Copyright (C) 2018 Alexandre Morlet, Henrique Pereira Coutada Miranda # All rights reserved. # # This file is part of yambopy # from __future__ import print_function from builtins import range from yambopy import * from qepy import * import json import matplotlib.pyplot as plt import numpy as np import sys import arg...

36.559524

122

0.632693

813

6,142

4.697417

0.369004

0.015711

0.007332

0.00995

0.070175

0.042943

0.025137

0

0.006644

0.240313

6,142

167

123

36.778443

0.81183

0.279551

0

0.041667

0

0.238428

0

1

0.010417

false

0

0.114583

0

0.125

0.166667

0

null

0

null

0

1

0

91ae1121ab522c5ec74869736cdca27ee08ca053

3,080

py

Python

halmodule.py

richteer/pyfatafl

1faddcf5d9eb36cbc6952b9a8e8bb899989f7112

[ "MIT" ]

null

halmodule.py

richteer/pyfatafl

1faddcf5d9eb36cbc6952b9a8e8bb899989f7112

[ "MIT" ]

null

halmodule.py

richteer/pyfatafl

1faddcf5d9eb36cbc6952b9a8e8bb899989f7112

[ "MIT" ]

null

from module import XMPPModule import halutils import pyfatafl class Game(): self.players = [] self.xmpp = None self.b = None self.turn = "" self.mod = None def __init__(self, mod, p1, p2): self.players = [p1, p2] self.mod = mod self.xmpp = mod.xmpp self.xmpp.sendMsg(p2, "You have been challenged to play...

29.615385

147

0.656494

461

3,080

4.370933

0.314534

0.051613

0.049132

0.039702

0.126551

0.048635

0

0.005255

0.196753

3,080

103

148

29.902913

0.809216

0.049675

0

0.156627

0

0.321465

0

0.009709

0

null

0

0.036145

null

0

null

0

null

0

1

0

1

91aeb848169969b77dd6c9be3484be7a02c40a1b

2,218

py

Python

tools/acetz.py

arkhipenko/AceTime

bc6e6aa530e309b62a204b7574322ba013066b06

[ "MIT" ]

1

2021-02-23T06:17:36.000Z

tools/acetz.py

arkhipenko/AceTime

bc6e6aa530e309b62a204b7574322ba013066b06

[ "MIT" ]

null

tools/acetz.py

arkhipenko/AceTime

bc6e6aa530e309b62a204b7574322ba013066b06

[ "MIT" ]

null

from typing import cast, Optional from datetime import datetime, tzinfo, timedelta from zonedbpy import zone_infos from zone_processor.zone_specifier import ZoneSpecifier from zone_processor.inline_zone_info import ZoneInfo __version__ = '1.1' class acetz(tzinfo): """An implementation of datetime.tzinfo using th...

34.65625

73

0.628945

300

2,218

4.453333

0.226667

0.053892

0.067365

0.056886

0.50524

0

0.023213

0.261948

2,218

63

74

35.206349

0.792914

0.038774

0

0.48

0

0.166273

0.113368

0

0.06

1

0.12

false

0

0.1

0.02

0.34

0

null

0

null

0

1

0

91b2c92f668693110e6ccdfb6fa82e177d314e5d

8,510

py

Python

z2/part2/interactive/jm/random_fuzzy_arrows_1/554539540.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/554539540.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/554539540.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 554539540 """ """ random actions, total chaos """ board = gamma_new(6, 8, 3, 17) assert board i...

30.722022

46

0.653114

1,575

8,510

3.388571

0.041905

0.344201

0.379427

0.505902

0.824433

0.818999

0.767285

0.634814

0.539254

0.493536

0

0.155384

0.177203

8,510

276

47

30.833333

0.606827

0

0.436508

0

0.045595

0

0.714286

1

0

false

0

0.003968

0

0.003968

0

null

1

0

null

0

1

0

7

91b37c8672721c9195859e7e71caa5db1a857b4d

25,928

py

Python

examples/run_chemistry_parser.py

ZhuoyuWei/transformers

16d0ebd55d17dd5095231566a0544ecebd56bc9c

[ "Apache-2.0" ]

null

examples/run_chemistry_parser.py

ZhuoyuWei/transformers

16d0ebd55d17dd5095231566a0544ecebd56bc9c

[ "Apache-2.0" ]

null

examples/run_chemistry_parser.py

ZhuoyuWei/transformers

16d0ebd55d17dd5095231566a0544ecebd56bc9c

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2019 The HuggingFace Inc. team. # Copyright (c) 2019 The HuggingFace Inc. 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.a...

34.432935

127

0.612234

3,024

25,928

5.005622

0.146825

0.016384

0.028077

0.007994

0.373258

0.300522

0.261214

0.209355

0.185704

0.154258

0

0.007957

0.277808

25,928

752

128

34.478723

0.800427

0.144747

0

0.294798

0

0.001927

0.115507

0.013172

0

1

0.021195

false

0.001927

0.026975

0.001927

0.063584

0.017341

0

null

0

null

0

1

0

91b41dc55c2835ad843b049f4f5251bad3abf07e

676

py

Python

envergo/geodata/management/commands/import_shapefiles.py

MTES-MCT/envergo

8bb6e4ffa15a39edda51b39401db6cc12e73ad0a

[ "MIT" ]

null

envergo/geodata/management/commands/import_shapefiles.py

MTES-MCT/envergo

8bb6e4ffa15a39edda51b39401db6cc12e73ad0a

[ "MIT" ]

6

2021-07-12T14:33:18.000Z

2022-02-14T10:36:09.000Z

envergo/geodata/management/commands/import_shapefiles.py

MTES-MCT/envergo

8bb6e4ffa15a39edda51b39401db6cc12e73ad0a

[ "MIT" ]

null

from django.contrib.gis.gdal import DataSource from django.contrib.gis.utils import LayerMapping from django.core.management.base import BaseCommand from envergo.geodata.models import Zone class Command(BaseCommand): help = "Importe des zones à partir de shapefiles." def add_arguments(self, parser): ...

32.190476

60

0.695266

81

676

5.777778

0.654321

0.064103

0.07265

0.08547

0

0.189349

676

20

61

33.8

0.854015

0

0.139053

0

1

0.133333

false

0

0.4

0

0.666667

0

null

0

null

0

1

0

1

0

2

91b47f9da5c47dfa6628ace04164ad0d1bc8a057

1,710

py

Python

vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py

duanqiaobb/vim-for-java

01b60e4494e65a73c9a9de00f50259d8a7c8d0bb

[ "MIT" ]

null

vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py

duanqiaobb/vim-for-java

01b60e4494e65a73c9a9de00f50259d8a7c8d0bb

[ "MIT" ]

null

vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py

duanqiaobb/vim-for-java

01b60e4494e65a73c9a9de00f50259d8a7c8d0bb

[ "MIT" ]

null

from test.vim_test_case import VimTestCase as _VimTest from test.constant import * # Anonymous Expansion {{{# class _AnonBase(_VimTest): args = '' def _extra_options_pre_init(self, vim_config): vim_config.append('inoremap <silent> %s <C-R>=UltiSnips#Anon(%s)<cr>' % (EA, se...

25.147059

77

0.615789

214

1,710

4.742991

0.271028

0.079803

0.124138

0.118227

0.539901

0.461084

0.423645

0.362562

0.151724

0

0.034928

0.229825

1,710

67

78

25.522388

0.735763

0.031579

0

0.348837

0

0.300424

0.016959

0

1

0.023256

false

0

0.046512

0

0.953488

0

null

0

null

0

1

0

91b495763107bc2ceb225b3984a8b4ffae309299

2,914

py

Python

data_converter/data_converter.py

jkchen2/JshBot-plugins

b5999fecf0df067e34673ff193dcfbf8c7e2fde2

[ "MIT" ]

1

2021-08-09T19:28:49.000Z

data_converter/data_converter.py

jkchen2/JshBot-plugins

b5999fecf0df067e34673ff193dcfbf8c7e2fde2

[ "MIT" ]

null

data_converter/data_converter.py

jkchen2/JshBot-plugins

b5999fecf0df067e34673ff193dcfbf8c7e2fde2

[ "MIT" ]

2

2017-07-14T00:15:54.000Z

2019-03-02T09:46:21.000Z

import discord from jshbot import utilities, data, configurations, plugins, logger from jshbot.exceptions import BotException, ConfiguredBotException from jshbot.commands import ( Command, SubCommand, Shortcut, ArgTypes, Attachment, Arg, Opt, MessageTypes, Response) __version__ = '0.1.0' CBException = ConfiguredB...

38.853333

96

0.576527

351

2,914

4.652422

0.273504

0.072872

0.051439

0.060012

0.363748

0.256583

0.1782

0.147581

0.131047

0.083282

0

0.003923

0.300275

2,914

74

97

39.378378

0.796959

0.075841

0

0.095238

0

0.122899

0

0.013514

0

1

0.047619

false

0.015873

0.063492

0.015873

0.174603

0

null

0

null

0

1

0

1

91b5d5a9da8d21cc54215371e88cbf75203f4ad6

374

py

Python

tut2.py

ankit98040/TKINTER-JIS

8b650138bf8ab2449da83e910ee33c0caee69a8d

[ "Apache-2.0" ]

null

tut2.py

ankit98040/TKINTER-JIS

8b650138bf8ab2449da83e910ee33c0caee69a8d

[ "Apache-2.0" ]

null

tut2.py

ankit98040/TKINTER-JIS

8b650138bf8ab2449da83e910ee33c0caee69a8d

[ "Apache-2.0" ]

null

from tkinter import * from PIL import Image, ImageTk #python image library #imagetk supports jpg image a1 = Tk() a1.geometry("455x244") #for png image #photo = PhotoImage(file="filename.png") #a2 = Label(image = photo) #a2.pack() image = Image.open("PJXlVd.jpg") photo = ImageTk.PhotoImage(image) ...

17

41

0.671123

51

374

4.921569

0.509804

0.119522

0.095618

0.135458

0.183267

0

0.043046

0.192513

374

22

42

17

0.788079

0.352941

0

0.078704

0

1

0

false

0

0.222222

0

0.222222

0

null

0

null

0

1

0

91b62cc1816352d2c7a0ead7b1bf1eabb9a68df6

8,113

py

Python

dataset.py

mintanwei/IPCLs-Net

04937df683216a090c0749cc90ab7e517dbab0fd

[ "MIT" ]

null

dataset.py

mintanwei/IPCLs-Net

04937df683216a090c0749cc90ab7e517dbab0fd

[ "MIT" ]

null

dataset.py

mintanwei/IPCLs-Net

04937df683216a090c0749cc90ab7e517dbab0fd

[ "MIT" ]

null

import os import torch from PIL import Image from read_csv import csv_to_label_and_bbx import numpy as np from torch.utils.data import Subset, random_split, ConcatDataset class NBIDataset(object): def __init__(self, root, transforms, nob3=False): self.root = root self.transforms = transforms ...

32.322709

110

0.598053

1,065

8,113

4.384038

0.134272

0.039409

0.038552

0.029985

0.773185

0.750482

0.715357

0.709574

0.70272

0

0.014833

0.260446

8,113

250

111

32.452

0.763333

0.163688

0

0.608974

0

0.044922

0

1

0.121795

false

0

0.038462

0.275641

0.012821

0

null

0

1

0

null

0

5

91b7b2d421c1a0795b99655b4fa4a8c0503e4114

1,056

py

Python

design_patterns/chapter5/mymath.py

FeliciaMJ/PythonLearningJourney

ae1bfac872ee29256e69df6e0e8e507321404cba

[ "Apache-2.0" ]

null

design_patterns/chapter5/mymath.py

FeliciaMJ/PythonLearningJourney

ae1bfac872ee29256e69df6e0e8e507321404cba

[ "Apache-2.0" ]

null

design_patterns/chapter5/mymath.py

FeliciaMJ/PythonLearningJourney

ae1bfac872ee29256e69df6e0e8e507321404cba

[ "Apache-2.0" ]

2

2021-04-04T00:27:29.000Z

2021-06-05T03:26:53.000Z

# coding: utf-8 import functools def memoize(fn): known = dict() @functools.wraps(fn) def memoizer(*args): if args not in known: known[args] = fn(*args) return known[args] return memoizer @memoize def nsum(n): '''返回前n个数字的和''' assert(n >= 0), 'n must be >= 0' ...

25.142857

75

0.507576

131

1,056

3.938931

0.358779

0.011628

0.031008

0.034884

0.085271

0

0.024523

0.304924

1,056

41

76

25.756098

0.678474

0.035985

0

0.142857

0

0.142999

0

0.071429

1

0.142857

false

0

0.214286

0

0.5

0.035714

0

null

0

null

0

1

0

91b7d7d61842cf27c4aaa82c80b40afa5304b3b0

27

py

Python

transforms/__init__.py

yangyuke001/emotion-expression.shufflenetv2

d70fd17871fb758eb4fc7d2f9df430cc7e44ad64

[ "Apache-2.0" ]

3

2019-11-29T01:29:58.000Z

2020-09-16T12:48:49.000Z

transforms/__init__.py

yangyuke001/emotion-expression.shufflenetv2

d70fd17871fb758eb4fc7d2f9df430cc7e44ad64

[ "Apache-2.0" ]

null

transforms/__init__.py

yangyuke001/emotion-expression.shufflenetv2

d70fd17871fb758eb4fc7d2f9df430cc7e44ad64

[ "Apache-2.0" ]

null

from .transforms import *

9

25

0.740741

3

27

6.666667

1

0

0.185185

27

2

26

13.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

91b880c2b2d9577a02c8519251133c3cee61564c

14,894

py

Python

codes/elastoplasticity_spectralAnalysis/planeStress/slowWavePlaneStressSigDriven.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

1

2021-06-18T14:52:03.000Z

codes/elastoplasticity_spectralAnalysis/planeStress/slowWavePlaneStressSigDriven.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

1

2019-01-07T13:11:11.000Z

codes/elastoplasticity_spectralAnalysis/planeStress/slowWavePlaneStressSigDriven.py

adRenaud/research

2f0062a1800d7a17577bbfc2393b084253d567f4

[ "MIT" ]

null

# !\usr\bin\python import numpy as np from mpl_toolkits import mplot3d import matplotlib.pyplot as plt import scipy.optimize from matplotlib import animation from scipy.integrate import ode import pdb # Material parameters rho = 7800. E = 2.e11 nu = 0.3 mu = 0.5*E/(1.+nu) kappa = E/(3.*(1.-2.*nu)) lamb = kappa-2.*mu/3...

37.422111

216

0.589701

2,644

14,894

3.294629

0.131619

0.013776

0.007577

0.008725

0.362645

0.316841

0.239353

0.170474

0.1443

0.122259

0

0.127085

0.178998

14,894

397

217

37.516373

0.585296

0.110044

0

0.09894

0

0.022156

0

null

0

0.028269

null

0.007067

0

null

0

null

0

1

0

1

91b88e3d926b20d74b8739d087b18e11fc2bf047

343

py

Python

pyhsms/core/connectionstate.py

cherish-web/pyhsms

83a88b8b45bf1aba30cb7572f44a02478009052b

[ "MIT" ]

2

2021-05-01T12:02:12.000Z

2021-05-03T14:37:27.000Z

pyhsms/core/connectionstate.py

cherish-web/pyhsms

83a88b8b45bf1aba30cb7572f44a02478009052b

[ "MIT" ]

null

pyhsms/core/connectionstate.py

cherish-web/pyhsms

83a88b8b45bf1aba30cb7572f44a02478009052b

[ "MIT" ]

null

# _*_ coding: utf-8 _*_ #@Time : 2020/7/29 上午 09:49 #@Author : cherish_peng #@Email : 1058386071@qq.com #@File : connectionstate.py #@Software : PyCharm from enum import Enum class ConnectionState(Enum): ''' ConnectionState enum ''' DisConnected = 0 Connecting=1 Connected=2 ...

21.4375

32

0.626822

41

343

5.121951

0.878049

0.180952

0

0.105882

0.25656

343

16

33

21.4375

0.717647

0.524781

0

1

0

false

0

0.142857

0

1

0

null

0

null

0

1

0

91b96455218c552cfb88f8804f7f9440605930b5

84,787

py

Python

lifelines/fitters/coxph_fitter.py

msanpe/lifelines

a73d441f6347332ca870bf2ec32eeeca410dc6de

[ "MIT" ]

null

lifelines/fitters/coxph_fitter.py

msanpe/lifelines

a73d441f6347332ca870bf2ec32eeeca410dc6de

[ "MIT" ]

null

lifelines/fitters/coxph_fitter.py

msanpe/lifelines

a73d441f6347332ca870bf2ec32eeeca410dc6de

[ "MIT" ]

null

# -*- coding: utf-8 -*- import time from datetime import datetime import warnings from textwrap import dedent, fill import numpy as np import pandas as pd from numpy.linalg import norm, inv from scipy.linalg import solve as spsolve, LinAlgError from scipy.integrate import trapz from scipy import stats from lifelines....

40.374762

354

0.585868

10,644

84,787

4.496054

0.114619

0.006018

0.001943

0.005642

0.421556

0.36591

0.322551

0.295909

0.265568

0.256833

0

0.015482

0.320485

84,787

2,099

355

40.393997

0.815149

0.319188

0

0.331088

0

0.005775

0.048757

0.0005

0

0.001906

0.00385

1

0.042348

false

0

0.018287

0.000962

0.106833

0.018287

0

null

0

null

0

1

0

91ba64e37706ae1e4223523b060a3928b5d8e678

393

py

Python

nlp_server/config/test/test_config.py

asevans48/NLPServer

6feb1d89748165f9efea40d0777d355044c48176

[ "Apache-2.0" ]

null

nlp_server/config/test/test_config.py

asevans48/NLPServer

6feb1d89748165f9efea40d0777d355044c48176

[ "Apache-2.0" ]

null

nlp_server/config/test/test_config.py

asevans48/NLPServer

6feb1d89748165f9efea40d0777d355044c48176

[ "Apache-2.0" ]

null

""" Test configuration loading @author aevans """ import os from nlp_server.config import load_config def test_load_config(): """ Test loading a configuration """ current_dir = os.path.curdir test_path = os.path.sep.join([current_dir, 'data', 'test_config.json']) cfg = load_config.load_conf...

18.714286

75

0.699746

57

393

4.614035

0.526316

0.152091

0.106464

0

0.198473

393

20

76

19.65

0.834921

0.180662

0

0.06689

0

0.25

1

0.125

false

0

0.25

0

0.375

0

null

0

null

0

1

0

91bc729480a0e69ec82630c25580e01aa1aa5937

4,469

py

Python

frappe/utils/safe_exec.py

ektai/frappe3

44aa948b4d5a0d729eacfb3dabdc9c8894ae1799

[ "MIT" ]

null

frappe/utils/safe_exec.py

ektai/frappe3

44aa948b4d5a0d729eacfb3dabdc9c8894ae1799

[ "MIT" ]

null

frappe/utils/safe_exec.py

ektai/frappe3

44aa948b4d5a0d729eacfb3dabdc9c8894ae1799

[ "MIT" ]

null

import os, json, inspect import mimetypes from html2text import html2text from RestrictedPython import compile_restricted, safe_globals import RestrictedPython.Guards import frappe import frappe.utils import frappe.utils.data from frappe.website.utils import (get_shade, get_toc, get_next_link) from frappe.modules impo...

29.401316

118

0.762587

634

4,469

5.11041

0.291798

0.033951

0.033333

0.016667

0.129321

0.046914

0.025309

0

0.002075

0.137167

4,469

152

119

29.401316

0.838174

0.101141

0

0.095652

0

0.046965

0

1

0.043478

false

0.008696

0.104348

0.008696

0.182609

0.026087

0

null

0

null

0

1

0

91bccefcfa09a20e9fc27c2975179329c5876dd6

2,461

py

Python

simplejson/ordered_dict.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

simplejson/ordered_dict.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

simplejson/ordered_dict.py

BarracudaPff/code-golf-data-pythpn

42e8858c2ebc6a061012bcadb167d29cebb85c5e

[ "MIT" ]

null

"""Drop-in replacement for collections.OrderedDict by Raymond Hettinger http://code.activestate.com/recipes/576693/ """ try: all except NameError: def all(seq): for elem in seq: if not elem: return False return True class OrderedDict(dict, DictMixin): def __init__(self, *args, **kwds): if len(args) > 1:...

26.180851

94

0.670053

363

2,461

4.247934

0.280992

0.049935

0.021401

0.027237

0.123865

0.07393

0.045396

0

0.009548

0.191386

2,461

94

95

26.180851

0.765327

0.04551

0

0.142857

0

0.027742

0

1

0.164835

false

0

0.032967

0.406593

0

null

0

null

0

1

0

91be6d919cdb079a9a7700432f62e3627d2ca47d

286

py

Python

Water.py

KRHS-GameProgramming-2015/Adlez

8912da1ee4b3c7b105851dbcc00579ff0c3cf33e

[ "BSD-2-Clause" ]

null

Water.py

KRHS-GameProgramming-2015/Adlez

8912da1ee4b3c7b105851dbcc00579ff0c3cf33e

[ "BSD-2-Clause" ]

4

2016-04-01T15:12:31.000Z

2016-04-18T15:05:29.000Z

Water.py

KRHS-GameProgramming-2015/Adlez

8912da1ee4b3c7b105851dbcc00579ff0c3cf33e

[ "BSD-2-Clause" ]

null

from HardBlock import * class Water(HardBlock): def __init__(self, pos=[0,0], blockSize = 25): image = "Block/Block Images/water.png" HardBlock.__init__(self, image, pos, blockSize) def update(*args): pass

17.875

55

0.534965

30

286

4.833333

0.633333

0.110345

0

0.021858

0.36014

286

15

56

19.066667

0.770492

0

0.098246

0

1

0.285714

false

0.142857

0

0.571429

0

null

0

null

0

1

0

1

0

2

91be89ca5480384018cb3e20d95ea9abdcb4c1bb

4,136

py

Python

baselines/bc.py

bgalbraith/minerl-haiku-baselines

c33b14699af14c904394d9c4e30dee680a8718d6

[ "Apache-2.0" ]

2

2020-07-11T07:56:46.000Z

2020-08-20T07:59:53.000Z

baselines/bc.py

bgalbraith/minerl-haiku-baselines

c33b14699af14c904394d9c4e30dee680a8718d6

[ "Apache-2.0" ]

null

baselines/bc.py

bgalbraith/minerl-haiku-baselines

c33b14699af14c904394d9c4e30dee680a8718d6

[ "Apache-2.0" ]

null

import dill import haiku as hk import jax from jax.experimental import optix import jax.numpy as jnp from dataset import load_data MINERL_ENV = 'MineRLTreechopVectorObf-v0' PARAMS_FILENAME = 'bc_params_treechop.pkl' class PovStack(hk.Module): """ PovStack is a module for processing the point-of-view image data...

30.411765

105

0.579787

549

4,136

4.1949

0.306011

0.024316

0.023448

0.028658

0.261832

0.240122

0.208424

0.156318

0.125054

0

0.032247

0.310203

4,136

135

106

30.637037

0.774974

0.173114

0

0.306818

0

0.036782

0.014354

0

1

0.113636

false

0

0.068182

0

0.284091

0.011364

0

null

0

null

0

1

0

91c15e0720d4970bd1fb3bf3b4458b92fb250bec

3,236

py

Python

qiskit/circuit/library/templates/__init__.py

ajavadia/qiskit-sdk-py

a59e8e6be1793197e19998c1f7dcfc45e6f2f3af

[ "Apache-2.0" ]

15

2020-06-29T08:33:39.000Z

2022-02-12T00:28:51.000Z

qiskit/circuit/library/templates/__init__.py

ajavadia/qiskit-sdk-py

a59e8e6be1793197e19998c1f7dcfc45e6f2f3af

[ "Apache-2.0" ]

6

2021-01-17T17:56:08.000Z

2021-04-01T12:40:21.000Z

qiskit/circuit/library/templates/__init__.py

ajavadia/qiskit-sdk-py

a59e8e6be1793197e19998c1f7dcfc45e6f2f3af

[ "Apache-2.0" ]

11

2020-06-29T08:40:24.000Z

2022-02-24T17:39:16.000Z

# This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative wo...

48.298507

79

0.860939

639

3,236

3.918623

0.164319

0.412939

0.28155

0.337859

0.386981

0.033546

0

0.069863

0.097651

3,236

66

80

49.030303

0.787671

0.218171

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

6

91c2124933101c4997c3e85497e979cf423b2846

10,418

py

Python

Tests/test_ironmath.py

btddg28/ironpython

8006238c19d08db5db9bada39d765143e631059e

[ "Apache-2.0" ]

null

Tests/test_ironmath.py

btddg28/ironpython

8006238c19d08db5db9bada39d765143e631059e

[ "Apache-2.0" ]

null

Tests/test_ironmath.py

btddg28/ironpython

8006238c19d08db5db9bada39d765143e631059e

[ "Apache-2.0" ]

null

##################################################################################### # # Copyright (c) Microsoft Corporation. All rights reserved. # # This source code is subject to terms and conditions of the Apache License, Version 2.0. A # copy of the license can be found in the License.html file at the root of th...

41.015748

241

0.656748

1,016

10,418

6.690945

0.25689

0.090026

0.023683

0.011474

0.31877

0.230656

0.192262

0.150044

0.10915

0

0.203911

0.209637

10,418

253

242

41.177866

0.621691

0.062584

0

0.333333

0

0.010129

0

0.053154

0

0.095238

1

0.068783

false

0.005291

0.037037

0.010582

0.121693

0

null

0

1

0

null

0

1

91c2c2561ea4fef57e7b95890c99ab69daf79a23

6,939

py

Python

python/lib/viewer/gener_q_vs_w_for_df.py

timtyree/bgmc

891e003a9594be9e40c53822879421c2b8c44eed

[ "MIT" ]

null

python/lib/viewer/gener_q_vs_w_for_df.py

timtyree/bgmc

891e003a9594be9e40c53822879421c2b8c44eed

[ "MIT" ]

null

python/lib/viewer/gener_q_vs_w_for_df.py

timtyree/bgmc

891e003a9594be9e40c53822879421c2b8c44eed

[ "MIT" ]

null

import matplotlib.pyplot as plt, numpy as np, pandas as pd,os from ..model import recall_powerlaw_fits_to_full_models from .. import compute_power_rmse from .bluf import * from ..measure.powerlaw import * from .gener_q_vs_w_for_result_folder import * def q_vs_w_plotter_function_from_df(ax,df): # npartitions=os.cp...

39.651429

130

0.678484

1,149

6,939

3.889469

0.140992

0.034907

0.069814

0.102036

0.764601

0.743791

0.726785

0.699485

0.672634

0.644887

0

0.021555

0.150886

6,939

174

131

39.87931

0.736931

0.17553

0

0.728682

0

0.007752

0.187125

0.100353

0

0.005747

0

1

0.015504

false

0

0.046512

0

0.077519

0.232558

0

null

0

1

0

1

0

1

0

null

0

4

91c49a7dc1b6f619c4919335c93fb67b97477b88

7,917

py

Python

decatt/model.py

achyudh/castor

d7a02ce03f2b71ef1fa490122dd4bbc8214b8b19

[ "Apache-2.0" ]

132

2017-04-02T12:31:55.000Z

2019-03-09T07:53:29.000Z

decatt/model.py

sudipta90/castor

fa2f59535c71a0fb4586afbe543b81ba812c8630

[ "Apache-2.0" ]

111

2017-04-01T23:00:24.000Z

2019-03-10T08:29:20.000Z

decatt/model.py

sudipta90/castor

fa2f59535c71a0fb4586afbe543b81ba812c8630

[ "Apache-2.0" ]

53

2017-04-06T01:17:18.000Z

2019-02-27T03:10:35.000Z

import sys import math import numpy as np from datetime import datetime import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable class DecAtt(nn.Module): def __init__(self, num_units, num_classes, embedding_size, dropout, device=0, training=True, p...

46.298246

136

0.653909

1,057

7,917

4.661306

0.177862

0.047087

0.073067

0.029227

0.310331

0.275624

0.244368

0.236858

0.168865

0.151411

0

0.024464

0.246179

7,917

170

137

46.570588

0.801106

0.240369

0

0.038462

0

0.001395

0

1

0.076923

false

0

0.076923

0

0.221154

0

null

0

null

0

1

0