ytzi/the-stack-dedup-python-scored · Datasets at Hugging Face

042cef1b04899572fbadfca55ccfcbd5ddae72ee

826

py

Python

ghostIm/oneBitGen.py

acyanbird/flappyGhost

28cecd35a1b405e9c1f0b93c97e1a41a82bf0b92

[ "WTFPL" ]

2

2022-02-21T01:11:58.000Z

2022-02-27T15:12:38.000Z

ghostIm/oneBitGen.py

acyanbird/flappyGhost

28cecd35a1b405e9c1f0b93c97e1a41a82bf0b92

[ "WTFPL" ]

null

ghostIm/oneBitGen.py

acyanbird/flappyGhost

28cecd35a1b405e9c1f0b93c97e1a41a82bf0b92

[ "WTFPL" ]

null

from PIL import Image def img2coe(name): img = Image.open(name) img = img.convert("1") width, height = img.size output_file = name.split('.')[0] + ".coe" f = open(output_file, "w") # using the 16, so change radix to 16, can be 2(binary), 10(decimal), 16(hex) f.write("memory_initializat...

25.030303

81

0.547215

0

266

0.322034

042d96c35e9f7f0bf2fb17cb3dd402631cdff742

473

py

Python

cursoEmVideo/Python/Mundo 2/Exercicios/Ex067.py

VictorDG00/Cursos

b1411f3179ef17f128c883b0f5a56c2478de45e8

[ "MIT" ]

2

2021-02-08T13:34:15.000Z

2021-02-08T19:43:42.000Z

cursoEmVideo/Python/Mundo 2/Exercicios/Ex067.py

VictorDG00/Cursos

b1411f3179ef17f128c883b0f5a56c2478de45e8

[ "MIT" ]

null

cursoEmVideo/Python/Mundo 2/Exercicios/Ex067.py

VictorDG00/Cursos

b1411f3179ef17f128c883b0f5a56c2478de45e8

[ "MIT" ]

null

# faça um programa que mostre a tabuada de varios numeros # um de cada vez, para cada valor digitado # o programa sera interrompido quando for solicityado um numero negativo while True: multiplicado = int(input('Digite um numero para ver sua tabuada: ')) for tab in range(1, 11): print(f'{multiplicado}x...

33.785714

72

0.691332

0

303

0.639241

042f01e87ae3c4cbb27a11e0655de18410d4c635

818

py

Python

events/migrations/0002_auto_20210501_1442.py

seanyoung247/TWCoulsdon

870ae7e8ea6a3fc23d24fe21bbb21965cdbab27b

[ "MIT" ]

1

2021-12-28T15:43:39.000Z

events/migrations/0002_auto_20210501_1442.py

seanyoung247/TWCoulsdon

870ae7e8ea6a3fc23d24fe21bbb21965cdbab27b

[ "MIT" ]

5

2021-05-14T22:46:26.000Z

2021-05-26T02:18:46.000Z

events/migrations/0002_auto_20210501_1442.py

seanyoung247/TWCoulsdon

870ae7e8ea6a3fc23d24fe21bbb21965cdbab27b

[ "MIT" ]

1

2021-05-29T18:24:49.000Z

# Generated by Django 3.2 on 2021-05-01 14:42 from django.db import migrations, models import easy_thumbnails.fields import embed_video.fields class Migration(migrations.Migration): dependencies = [ ('events', '0001_initial'), ] operations = [ migrations.AddField( model_name...

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0.601467

671

0.820293

0

116

0.141809

042f5abcee94ea90c313bab39cfcbe9ccffaafb9

6,748

py

Python

python/utils.py

JonathanAMichaels/NeuropixelsRegistration

b2623f0777b12c72ab304f7f2c1477e9954ef54a

[ "MIT" ]

null

python/utils.py

JonathanAMichaels/NeuropixelsRegistration

b2623f0777b12c72ab304f7f2c1477e9954ef54a

[ "MIT" ]

null

python/utils.py

JonathanAMichaels/NeuropixelsRegistration

b2623f0777b12c72ab304f7f2c1477e9954ef54a

[ "MIT" ]

null

import numpy as np from scipy.io import loadmat import os import logging from scipy.signal import butter, filtfilt def mat2npy(mat_chanmap_dir): mat_chanmap = loadmat(mat_chanmap_dir) x = mat_chanmap['xcoords'] y = mat_chanmap['ycoords'] npy_chanmap = np.hstack([x,y]) #np.save('chanmap.npy', n...

27.769547

91

0.621962

0

3,448

0.510966

043096d9c304faa314eb3f6d6324739396959dcd

9,024

py

Python

fairseq/models/wav2vec/wav2vec2_cif_bert.py

eastonYi/fairseq

3cec3773990ddc0487aae7f2f253edbe591f973c

[ "MIT" ]

null

fairseq/models/wav2vec/wav2vec2_cif_bert.py

eastonYi/fairseq

3cec3773990ddc0487aae7f2f253edbe591f973c

[ "MIT" ]

null

fairseq/models/wav2vec/wav2vec2_cif_bert.py

eastonYi/fairseq

3cec3773990ddc0487aae7f2f253edbe591f973c

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import copy import contextlib import torch import torch.nn.functional as F from typing import List, Tuple, Dict, Optional from transformers imp...

34.707692

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0.730053

0

6,813

0.754987

0

1,250

0.13852

0430aa9e29f2dc11a3655c69ef15ad30f7e0af32

3,250

py

Python

2/src/3_2D_ritter.py

dsanmartin/IPM468-PJ

d0cdd030498bdca590cfa907941679db6438b1b9

[ "BSD-3-Clause" ]

null

2/src/3_2D_ritter.py

dsanmartin/IPM468-PJ

d0cdd030498bdca590cfa907941679db6438b1b9

[ "BSD-3-Clause" ]

null

2/src/3_2D_ritter.py

dsanmartin/IPM468-PJ

d0cdd030498bdca590cfa907941679db6438b1b9

[ "BSD-3-Clause" ]

null

import pathlib import numpy as np from dambreak import Experiment2D from plot import plot2D, plot3D, quiver #%% Initial condition def h0_(x, y, x0, y0, h0): H = np.zeros_like(x) idx = np.array((x <= x0) & (y <= y0)) H[idx] = h0 return H #%%Parameters h_0 = 40 x0 = 1000 y0 = 1000 L = 2000 T = 40 Nx = 100 Ny = ...

27.083333

127

0.548923

0

463

0.142462

04317857b939c2cd80e35a253468a62b54df8cd9

1,025

py

Python

realsense/manual/cluster.py

mrzhuzhe/yunru

faa7380a5363f654f1dc8f5d53b077d9f33bff6f

[ "MIT" ]

null

realsense/manual/cluster.py

mrzhuzhe/yunru

faa7380a5363f654f1dc8f5d53b077d9f33bff6f

[ "MIT" ]

null

realsense/manual/cluster.py

mrzhuzhe/yunru

faa7380a5363f654f1dc8f5d53b077d9f33bff6f

[ "MIT" ]

null

# 聚类 # 需要移除远处点 import open3d as o3d import numpy as np import matplotlib.pyplot as plt sourcePath="./zz_test_panda/scene/integrated.ply" tatgetPath="./zz_test_panda/scene/cropped_1.ply" # 加载点云 print("Load a ply point cloud, print it, and render it") pcd = o3d.io.read_point_cloud(sourcePath) with o3d.utility.Verbosi...

35.344828

89

0.736585

0

219

0.208373

0431b86b5fec8a3a6766b7ed7c6bc620c17ad76e

86

py

Python

functionalities.py

Dilkovak/Naggy-Bot

7727a77d1916336d6f3f52efc40437a9d1ae960b

[ "MIT" ]

null

functionalities.py

Dilkovak/Naggy-Bot

7727a77d1916336d6f3f52efc40437a9d1ae960b

[ "MIT" ]

null

functionalities.py

Dilkovak/Naggy-Bot

7727a77d1916336d6f3f52efc40437a9d1ae960b

[ "MIT" ]

null

import random def coinflip(): # print(random.random()) return random.random()

17.2

28

0.674419

0

24

0.27907

0436d3f10986a9986bb88f66529f9631838fc465

295

py

Python

class2/demo3.py

sanderslhc/python-learing

2769f72c9b6de24d768175bed1aa9851d0469d19

[ "MIT" ]

1

2021-07-20T09:52:55.000Z

class2/demo3.py

sanderslhc/python-learning

2769f72c9b6de24d768175bed1aa9851d0469d19

[ "MIT" ]

null

class2/demo3.py

sanderslhc/python-learning

2769f72c9b6de24d768175bed1aa9851d0469d19

[ "MIT" ]

null

#多分支结构 score=int(input('请输入成绩')) #判断 if score>=90 and score<=100: print('A') elif score>=80 and score<=89: print('B') elif score>=70 and score<=79: print('C') elif score>=60 and score<=69: print('D') elif score>=0 and score<=59: print('E') else: print('无效')

19.666667

30

0.572881

0

65

0.201238

0437a3c33994a58eba5b0112b7cbac4e87e6fafd

8,126

py

Python

lib/sdf/sdf_optimizer.py

phschoepf/PoseCNN-PyTorch

e2a67dbb37b695474d5fd93b07e85aa297293d7e

[ "BSD-Source-Code" ]

85

2020-12-13T22:30:11.000Z

2022-03-21T10:30:57.000Z

lib/sdf/sdf_optimizer.py

phschoepf/PoseCNN-PyTorch

e2a67dbb37b695474d5fd93b07e85aa297293d7e

[ "BSD-Source-Code" ]

24

2021-01-08T06:02:40.000Z

2022-03-18T13:01:53.000Z

lib/sdf/sdf_optimizer.py

phschoepf/PoseCNN-PyTorch

e2a67dbb37b695474d5fd93b07e85aa297293d7e

[ "BSD-Source-Code" ]

24

2021-01-03T06:48:17.000Z

2022-02-27T00:27:07.000Z

# Copyright (c) 2020 NVIDIA Corporation. All rights reserved. # This work is licensed under the NVIDIA Source Code License - Non-commercial. Full # text can be found in LICENSE.md import sys import cv2 import time from .sdf_utils import * import _init_paths from fcn.config import cfg from layers.sdf_matching_loss impo...

40.63

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0.563992

7,793

0.95902

0

996

0.12257

043875b930e6d05d2634154e8b1a9777e170c2cc

10,563

py

Python

src/game_elements/Map.py

crazyStewie/ProjetoJojinho

04657ebfcbbf940c250721a8fe00d79af0bd927c

[ "MIT" ]

null

src/game_elements/Map.py

crazyStewie/ProjetoJojinho

04657ebfcbbf940c250721a8fe00d79af0bd927c

[ "MIT" ]

null

src/game_elements/Map.py

crazyStewie/ProjetoJojinho

04657ebfcbbf940c250721a8fe00d79af0bd927c

[ "MIT" ]

null

from pymunk.vec2d import Vec2d from src.utils import AngleHelper import pymunk class Map: def __init__(self): self.crossings = [] self.streets = [] self.STREET_WIDTH = 50 self.SIDEWALK_WIDTH = 60 self.sidewalk_crossings = [] self.sidewalks = [] self.distance...

55.303665

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0.586102

10,481

0.992237

0

113

0.010698

0438c8f80da4005db7ce794a5dd25fc90d51a567

2,110

py

Python

custom_components/magic_lights/setup_tasks/create_living_space.py

justanotherariel/hass_MagicLights

61ac0db1f7c3575e52912b372176d45e647b728e

[ "MIT" ]

null

custom_components/magic_lights/setup_tasks/create_living_space.py

justanotherariel/hass_MagicLights

61ac0db1f7c3575e52912b372176d45e647b728e

[ "MIT" ]

null

custom_components/magic_lights/setup_tasks/create_living_space.py

justanotherariel/hass_MagicLights

61ac0db1f7c3575e52912b372176d45e647b728e

[ "MIT" ]

null

from __future__ import annotations import asyncio import logging from custom_components.magic_lights.setup_tasks.task import SetupTask from custom_components.magic_lights.helpers.service_call import create_async_call from typing import Dict, Tuple from custom_components.magic_lights.magicbase.share import get_magic f...

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0.166351

0

234

0.1109

196

0.092891

043990336053a8c30d65aae2c3797d6e1d5d4f40

2,382

py

Python

layouts/landing_page.py

nikitcha/ceebios-biowser

d416a026d14dc410f5d1e48190f8a6ba74e97998

[ "MIT" ]

null

layouts/landing_page.py

nikitcha/ceebios-biowser

d416a026d14dc410f5d1e48190f8a6ba74e97998

[ "MIT" ]

null

layouts/landing_page.py

nikitcha/ceebios-biowser

d416a026d14dc410f5d1e48190f8a6ba74e97998

[ "MIT" ]

null

import dash_html_components as html import dash app = dash.Dash(__name__) style_div = {'display': 'flex','flex-wrap': 'wrap', 'padding':'20px'} style_text = {'width': '500px', 'padding':'20px'} div_octo = html.Div([ html.Div([html.Img(src=app.get_asset_url('planet1.jpg'), width="500px")]), html.Div([ ...

47.64

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0.626784

0

1,181

0.495802

043b52518e89dcaaaeab64ad5579462c5d5febe7

1,405

py

Python

examples/network_diagram.py

community-fabric/python-ipfabric-diagrams

55de2ff36c853f9ed13a804768ee0f0ca5eeb467

[ "MIT" ]

1

2022-02-14T10:14:25.000Z

examples/network_diagram.py

community-fabric/python-ipfabric-diagrams

55de2ff36c853f9ed13a804768ee0f0ca5eeb467

[ "MIT" ]

9

2022-02-08T19:25:47.000Z

2022-02-16T19:29:41.000Z

examples/network_diagram.py

community-fabric/python-ipfabric-diagrams

55de2ff36c853f9ed13a804768ee0f0ca5eeb467

[ "MIT" ]

2

2022-02-01T18:26:31.000Z

2022-02-02T19:02:36.000Z

""" network_diagram.py """ from ipfabric_diagrams import IPFDiagram, Network, NetworkSettings, VALID_NET_PROTOCOLS, Layout if __name__ == '__main__': ipf = IPFDiagram() net = Network(sites=['MPLS', 'LAB01'], all_network=True) json_data = ipf.diagram_json(net) model_data = ipf.diagram_model(net) w...

32.674419

95

0.687544

0

222

0.158007

043b92e9fc3c08c42abcd8a0ffd5711626dda83e

878

py

Python

msteams/adaptivecard/containers/fact_set.py

HarshadRanganathan/pyteams

d9ced98281e594b454ab7d98dce5b997d1711c8b

[ "MIT" ]

6

2019-08-09T05:29:25.000Z

2021-08-02T10:27:51.000Z

msteams/adaptivecard/containers/fact_set.py

HarshadRanganathan/pyteams

d9ced98281e594b454ab7d98dce5b997d1711c8b

[ "MIT" ]

3

2020-03-24T17:06:42.000Z

2021-02-02T22:11:50.000Z

msteams/adaptivecard/containers/fact_set.py

HarshadRanganathan/pyteams

d9ced98281e594b454ab7d98dce5b997d1711c8b

[ "MIT" ]

3

2019-10-07T21:59:25.000Z

2021-11-18T09:12:56.000Z

from msteams.adaptivecard.containers.layout import Layout class FactSet(Layout): """ FactSet element displays a series of facts (i.e. name/value pairs) in a tabular form """ FACTS = 'facts' def __init__(self, spacing=None, separator=None): """ :param spacing: amount of spacing ...

28.322581

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0.592255

817

0.930524

0

345

0.392938

043caa4a27e42e50eb3c3d0263e33d97780cb0a2

6,057

py

Python

tests/functional/conftest.py

andreakropp/datarobot-user-models

423ab8c703a545491ad6013a0b7efa3119e2c0fc

[ "Apache-2.0" ]

null

tests/functional/conftest.py

andreakropp/datarobot-user-models

423ab8c703a545491ad6013a0b7efa3119e2c0fc

[ "Apache-2.0" ]

null

tests/functional/conftest.py

andreakropp/datarobot-user-models

423ab8c703a545491ad6013a0b7efa3119e2c0fc

[ "Apache-2.0" ]

null

import os import uuid import warnings import datarobot as dr import pytest from dr_usertool.datarobot_user_database import DataRobotUserDatabase from dr_usertool.utils import get_permissions from tests.drum.constants import TESTS_DATA_PATH, PUBLIC_DROPIN_ENVS_PATH ENDPOINT_URL = "http://localhost/api/v2" def dr_us...

35.215116

100

0.746409

0

5,396

0.89087

0

942

0.155523

0441025076cf40e78b85477fb35263fe77deca58

5,464

py

Python

test/units/modules/network/f5/test_bigip_policy.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

37

2017-08-15T15:02:43.000Z

2021-07-23T03:44:31.000Z

test/units/modules/network/f5/test_bigip_policy.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

12

2018-01-10T05:25:25.000Z

2021-11-28T06:55:48.000Z

test/units/modules/network/f5/test_bigip_policy.py

Container-Projects/ansible-provider-docs

100b695b0b0c4d8d08af362069557ffc735d0d7e

[ "PSF-2.0", "BSD-2-Clause", "MIT" ]

49

2017-08-15T09:52:13.000Z

2022-03-21T17:11:54.000Z

# -*- coding: utf-8 -*- # # Copyright (c) 2017 F5 Networks Inc. # GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import (absolute_import, division, print_function) __metaclass__ = type import os import json import sys from nose.plugins.skip import SkipTest i...

32.141176

91

0.64202

3,247

0.594253

0

876

0.160322

04411ddb9c08843c7fce53cffbe76f07e4b16489

58

py

Python

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

null

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

6

2020-07-19T07:33:33.000Z

2022-03-27T04:52:28.000Z

experiments/spooky-mouse.py

Nithanaroy/invisible-pen

d6e69e20866b2992b5c2c5b47d623a693bed3134

[ "MIT" ]

null

import pyautogui pyautogui.moveTo(2317, 425, duration=1)

14.5

39

0.793103

0

04428cad6e41d07f787bb5f233146087def3d4cc

50

py

Python

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

__main__.py

wwakabobik/openweather_pws

bda08b550982b7e3d797a57c23ae97d4d4ececf7

[ "MIT" ]

null

from openweather_pws import Station, Measurements

25

49

0.88

0

044384aad57c8b47c884459c4de588bd7b7bdff9

2,731

py

Python

main.py

JakeSichley/Discord-Bot

4fd968a0e588f8ea3ea5a8e6636b0d1579eb974b

[ "MIT" ]

1

2021-05-13T01:57:16.000Z

main.py

JakeSichley/Discord-Bot

4fd968a0e588f8ea3ea5a8e6636b0d1579eb974b

[ "MIT" ]

null

main.py

JakeSichley/Discord-Bot

4fd968a0e588f8ea3ea5a8e6636b0d1579eb974b

[ "MIT" ]

null

""" MIT License Copyright (c) 2021 Jake Sichley Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, ...

32.129412

114

0.696814

0

1,644

0.601977

04446591d618aa90ff9944a3d3bb5ea29803ace3

415

py

Python

tests/test_lighting.py

HighCWu/neural-renderer-paddle

c5c8375b0400a0b7722ab893e46ca706153b5a43

[ "MIT" ]

14

2021-12-11T10:37:14.000Z

2022-01-04T05:34:59.000Z

tests/test_lighting.py

HighCWu/neural-renderer-paddle

c5c8375b0400a0b7722ab893e46ca706153b5a43

[ "MIT" ]

null

tests/test_lighting.py

HighCWu/neural-renderer-paddle

c5c8375b0400a0b7722ab893e46ca706153b5a43

[ "MIT" ]

1

2021-12-17T05:30:24.000Z

import unittest import paddle import neural_renderer_paddle as nr class TestLighting(unittest.TestCase): def test_case1(self): """Test whether it is executable.""" faces = paddle.randn([64, 16, 3, 3], dtype=paddle.float32) textures = paddle.randn([64, 16, 8, 8, 8, 3], dtype=paddle.fl...

20.75

75

0.653012

294

0.708434

0

46

0.110843

044584bfb16a9cd74a91b6362bd86d9a6c685e01

4,709

py

Python

InterpretationTechniques/featureExamination/iceForPredictor.py

HelenaMaria112/PredictionInterpreter

d87f0386114da76df8c84025d4a23ea04dd142d4

[ "MIT" ]

1

2020-04-17T08:42:05.000Z

InterpretationTechniques/featureExamination/iceForPredictor.py

HelenaMaria112/PredictionInterpreter

d87f0386114da76df8c84025d4a23ea04dd142d4

[ "MIT" ]

null

InterpretationTechniques/featureExamination/iceForPredictor.py

HelenaMaria112/PredictionInterpreter

d87f0386114da76df8c84025d4a23ea04dd142d4

[ "MIT" ]

null

''' Created on 04.10.2019 @author: areb ''' import pycebox.ice as pIce from Connections.predictor import * import matplotlib.pyplot as plt from InterpretationTechniques.PlotAndShow import * # https://github.com/AustinRochford/PyCEbox/blob/master/pycebox/ice.py def plotIce(data, pr): ''' :param data: pandas da...

39.241667

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0.556806

0

736

0.156296

0447af988a6ba77384680fe4e01e6a7e24dba0af

2,253

py

Python

src/ch3/generatefeedvector.py

amolnayak311/Programming-Collective-Intelligence

eaa55c3989a8d36e7b766fbaba267b4cbaedf5be

[ "Apache-2.0" ]

null

src/ch3/generatefeedvector.py

amolnayak311/Programming-Collective-Intelligence

eaa55c3989a8d36e7b766fbaba267b4cbaedf5be

[ "Apache-2.0" ]

null

src/ch3/generatefeedvector.py

amolnayak311/Programming-Collective-Intelligence

eaa55c3989a8d36e7b766fbaba267b4cbaedf5be

[ "Apache-2.0" ]

null

''' Created on Sep 4, 2015 @author: Amol ''' from feedparser import parse import re from itertools import groupby #Remove HTML and get the remaining words def getwords(html): txt = re.compile(r'<[^>]+>').sub('', html) words = re.compile(r'[^A-Z^a-z]+').split(txt) return [word.lower() for word in words if...

31.732394

127

0.637816

0

842

0.373724

0447f89b16924c658675e5b392cea181645339b7

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py

Python

examples/withRaycing/01_SynchrotronSources/U32TaperedScan.py

adinatan/xrt

75b884c0cba7e1aac15b30f2d0d803597328a208

[ "MIT" ]

null

examples/withRaycing/01_SynchrotronSources/U32TaperedScan.py

adinatan/xrt

75b884c0cba7e1aac15b30f2d0d803597328a208

[ "MIT" ]

null

examples/withRaycing/01_SynchrotronSources/U32TaperedScan.py

adinatan/xrt

75b884c0cba7e1aac15b30f2d0d803597328a208

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = "Roman Chernikov" __date__ = "08 Mar 2016" #import pickle import numpy as np #import matplotlib.pyplot as plt import os, sys; sys.path.append(os.path.join('..', '..', '..')) # analysis:ignore import xrt.backends.raycing as raycing import xrt.backends.raycing.sources as rs import ...

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0

316

0.108815

0

365

0.125689

044827b9d07d435e78e2b33c9bff2fa4f98ef026

1,277

py

Python

Python_10_Plot_Bokeh_Candlestick.py

rogerolowski/SimpleStockAnalysisPython

758e04b28eda4b8eb4124f4b1e0ed493b0f93106

[ "MIT" ]

195

2019-04-19T16:52:22.000Z

2022-03-28T12:16:12.000Z

Python_10_Plot_Bokeh_Candlestick.py

rogerolowski/SimpleStockAnalysisPython

758e04b28eda4b8eb4124f4b1e0ed493b0f93106

[ "MIT" ]

null

Python_10_Plot_Bokeh_Candlestick.py

rogerolowski/SimpleStockAnalysisPython

758e04b28eda4b8eb4124f4b1e0ed493b0f93106

[ "MIT" ]

72

2019-05-02T12:30:30.000Z

2022-03-25T07:11:09.000Z

# -*- coding: utf-8 -*- """ Created on Fri Nov 27 08:09:11 2020 @author: Tin """ # Plot Candlestick in bokeh import pandas as pd # Dataframe Library from math import pi from bokeh.plotting import figure, show, output_file pd.set_option('max_columns', None) # To show all columns import yfinance as yf yf...

26.604167

102

0.660141

0

478

0.374315

044b50d8db56607e7050551dc8a60c8b30177833

7,124

py

Python

elephant.py

polewskm/lvl1-elephant

511c9248762e108342f6cc0e8b48a1118c182538

[ "Apache-2.0" ]

null

elephant.py

polewskm/lvl1-elephant

511c9248762e108342f6cc0e8b48a1118c182538

[ "Apache-2.0" ]

null

elephant.py

polewskm/lvl1-elephant

511c9248762e108342f6cc0e8b48a1118c182538

[ "Apache-2.0" ]

null

# # elephant.py # from threading import Thread from adafruit_servokit import ServoKit from gpiozero import LED,Button,Servo import time import random import board import neopixel import subprocess import os.path print("Initializing...") # pin definitions PIN_LEFT_EYE = 17 PIN_LEFT_BROW = 23 PIN_RIGHT_EYE = 27 PIN_RI...

29.683333

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0.711538

276

0.038742

0

3,071

0.431078

044bb9506b68dc9263b143fd71b62d2aa484539b

10,954

py

Python

0.17/_downloads/8c453dbbabf4b225611c41642ea9b1d5/plot_morph_stc.py

drammock/mne-tools.github.io

5d3a104d174255644d8d5335f58036e32695e85d

[ "BSD-3-Clause" ]

null

0.17/_downloads/8c453dbbabf4b225611c41642ea9b1d5/plot_morph_stc.py

drammock/mne-tools.github.io

5d3a104d174255644d8d5335f58036e32695e85d

[ "BSD-3-Clause" ]

null

0.17/_downloads/8c453dbbabf4b225611c41642ea9b1d5/plot_morph_stc.py

drammock/mne-tools.github.io

5d3a104d174255644d8d5335f58036e32695e85d

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- r""" ================================================================ Morphing source estimates: Moving data from one brain to another ================================================================ Morphing refers to the operation of transferring :ref:`source estimates <sphx_glr_auto_tutorial...

43.125984

80

0.726675

0

10,953

0.999635

044c425f4547c6aed3f6f7f9c9c78fa729ba7b06

680

py

Python

jasper.py

ramosmy/acoustic_model

3c721b15830dcaeb71f3b828cacb999c14e9651c

[ "MIT" ]

6

2019-07-18T07:33:51.000Z

2021-11-27T12:48:02.000Z

jasper.py

ramosmy/acoustic_model

3c721b15830dcaeb71f3b828cacb999c14e9651c

[ "MIT" ]

2

2019-11-08T07:25:39.000Z

2019-12-03T16:38:37.000Z

jasper.py

ramosmy/acoustic_model

3c721b15830dcaeb71f3b828cacb999c14e9651c

[ "MIT" ]

7

2019-09-23T05:30:48.000Z

2021-01-19T08:34:18.000Z

""" Citing from jasper from Nvidia """ import torch import torch.nn as nn import torch.functional as F class SubBlock(nn.Module): def __init__(self, dropout): super(SubBlock, self).__init__() self.conv = nn.Conv1d(in_channels=256, out_channels=256, kernel_size=11...

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66

0.607353

568

0.835294

0

42

0.061765

044cb4af3a6867d40b90f56d954b5919ff9ca98a

513

py

Python

charts/create_datasets.py

Smelly-London/datavisualisation

feaf0e8e3f48b0f70640149ce37d149ae4219c0d

[ "Apache-2.0" ]

1

2016-09-28T13:42:29.000Z

charts/create_datasets.py

Smelly-London/datavisualisation

feaf0e8e3f48b0f70640149ce37d149ae4219c0d

[ "Apache-2.0" ]

null

charts/create_datasets.py

Smelly-London/datavisualisation

feaf0e8e3f48b0f70640149ce37d149ae4219c0d

[ "Apache-2.0" ]

null

import pandas as pd # Load the original csv df = pd.read_csv('data/carto.csv') # Group by name of borough # The output is a list of tuples with ('name of borough', dataframe of that borough) grouped = list(df.groupby('location_name')) for x in grouped: # Get the name of the borough name_of_borough = x[0] ...

25.65

85

0.680312

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284

0.553606

044cd6d55aaaa85ed616104d85f7411196227c7a

91

py

Python

pm4pymdl/algo/mvp/gen_framework/rel_activities/__init__.py

dorian1000/pm4py-mdl

71e0c2425abb183da293a58d31e25e50137c774f

[ "MIT" ]

5

2021-01-31T22:45:29.000Z

2022-02-22T14:26:06.000Z

pm4pymdl/algo/mvp/gen_framework/rel_activities/__init__.py

Javert899/pm4py-mdl

4cc875999100f3f1ad60b925a20e40cf52337757

[ "MIT" ]

3

2021-07-07T15:32:55.000Z

2021-07-07T16:15:36.000Z

pm4pymdl/algo/mvp/gen_framework/rel_activities/__init__.py

dorian1000/pm4py-mdl

71e0c2425abb183da293a58d31e25e50137c774f

[ "MIT" ]

9

2020-09-23T15:34:11.000Z

2022-03-17T09:15:40.000Z

from pm4pymdl.algo.mvp.gen_framework.rel_activities import classic, rel_activities_builder

45.5

90

0.89011

0

044e54d26f4864c1f8e33c9bd102edca09c831c3

5,047

py

Python

batched_flattened_indices_pseudo_random_permutation.py

eladn/tensors_data_class

78dd3182d5d070f3ae87bb7141cb38e778d0740a

[ "MIT" ]

null

batched_flattened_indices_pseudo_random_permutation.py

eladn/tensors_data_class

78dd3182d5d070f3ae87bb7141cb38e778d0740a

[ "MIT" ]

null

batched_flattened_indices_pseudo_random_permutation.py

eladn/tensors_data_class

78dd3182d5d070f3ae87bb7141cb38e778d0740a

[ "MIT" ]

null

import torch import hashlib import dataclasses import numpy as np from typing import List, Tuple, final from .misc import collate_tensors_with_variable_shapes, CollateData, inverse_permutation from .tensors_data_class_base import TensorsDataClass from .mixins import HasTargetIndexingGroupMixin __all__ = ['BatchedFla...

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0.92233

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4,685

0.928274

0

685

0.135724

044fa9bc2b971a59a7630fd706352bd033dc7523

2,761

py

Python

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

4

2021-07-27T14:39:02.000Z

2022-03-07T10:57:13.000Z

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

2

2021-07-03T07:07:32.000Z

2022-03-10T16:07:20.000Z

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

1

2021-02-16T00:47:46.000Z

# Copyright The PyTorch Lightning team. # # 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 i...

29.063158

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0.688156

1,673

0.60594

0

750

0.271641

045138c95caf400b1764962f762f8235e32b7a22

1,404

py

Python

lab02/lab02/operaciones/views.py

josepilco7501/TECSUP-DAE-2021-2

f6e433193edd2b9547a7385f0e03b0aacdb4dcd0

[ "MIT" ]

null

lab02/lab02/operaciones/views.py

josepilco7501/TECSUP-DAE-2021-2

f6e433193edd2b9547a7385f0e03b0aacdb4dcd0

[ "MIT" ]

null

lab02/lab02/operaciones/views.py

josepilco7501/TECSUP-DAE-2021-2

f6e433193edd2b9547a7385f0e03b0aacdb4dcd0

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def calculadora(request): context = { 'titulo' : "Ingrese los numeros", } return render(request,'operaciones/formulario.html',context) def resultado(request): a=request.POST['numeroa'] b=req...

28.653061

67

0.64245

0

463

0.329303

0451439c3c8986ca671570c793596df3e6737f99

40,552

py

Python

sim/turn.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

8

2019-02-02T01:15:57.000Z

2021-12-23T04:43:46.000Z

sim/turn.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

null

sim/turn.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

6

2020-09-11T13:15:05.000Z

2022-03-18T15:46:35.000Z

''' Nicolas Lindbloom-Airey turn.py This file is entirely devoted to the do_turn(Battle) method. One call of do_turn does all the logic for a single turn. Functions defined in this file are: * functions are are only called in the do_turn method. Functions called by run_move are called only once per run_move call...

32.782538

186

0.592301

0

12,824

0.316236

04522f05b28efbf881a74b37b11db3f8da797911

8,936

py

Python

opencamlib-read-only/scripts/voronoi/voronoi_bisectors.py

play113/swer

78764c67885dfacb1fa24e494a20681265f5254c

[ "MIT" ]

null

opencamlib-read-only/scripts/voronoi/voronoi_bisectors.py

play113/swer

78764c67885dfacb1fa24e494a20681265f5254c

[ "MIT" ]

null

opencamlib-read-only/scripts/voronoi/voronoi_bisectors.py

play113/swer

78764c67885dfacb1fa24e494a20681265f5254c

[ "MIT" ]

1

2020-07-04T13:58:00.000Z

import ocl import camvtk import time import vtk import datetime import math import random def drawVertex(myscreen, p, vertexColor, rad=1): myscreen.addActor( camvtk.Sphere( center=(p.x,p.y,p.z), radius=rad, color=vertexColor ) ) def drawEdge(myscreen, e, edgeColor=camvtk.yellow): p1 = e[0] p2 = e[1] ...

30.189189

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0.513653

3,871

0.433192

0

3,088

0.345568

045237c527cde898e9b9472e8d4dba096a190def

760

py

Python

wheel5/scheduler.py

xdralex/pytorch-wheel5

336529e354a45908cf3f8f12cd401a95fb2a5351

[ "MIT" ]

2

2020-06-08T13:10:06.000Z

2020-07-07T05:34:18.000Z

wheel5/scheduler.py

xdralex/pytorch-wheel5

336529e354a45908cf3f8f12cd401a95fb2a5351

[ "MIT" ]

1

2020-04-29T08:46:14.000Z

wheel5/scheduler.py

xdralex/pytorch-wheel5

336529e354a45908cf3f8f12cd401a95fb2a5351

[ "MIT" ]

null

from torch.optim.lr_scheduler import _LRScheduler class WarmupScheduler(_LRScheduler): def __init__(self, optimizer, epochs, next_scheduler): self.epochs = epochs self.next_scheduler = next_scheduler super(WarmupScheduler, self).__init__(optimizer) def get_lr(self): if self.la...

34.545455

86

0.659211

707

0.930263

0

0453131e08ad9df3feb4129ffbeb4612445ebb21

763

py

Python

analysis/dbase/tracking/train.py

BrancoLab/FC_analysis

7124a7d998275bce6f7a18c264399c7dabfd430b

[ "MIT" ]

1

2018-08-20T14:47:09.000Z

analysis/dbase/tracking/train.py

BrancoLab/FC_analysis

7124a7d998275bce6f7a18c264399c7dabfd430b

[ "MIT" ]

null

analysis/dbase/tracking/train.py

BrancoLab/FC_analysis

7124a7d998275bce6f7a18c264399c7dabfd430b

[ "MIT" ]

1

2018-09-24T15:58:57.000Z

import deeplabcut as dlc import os from fcutils.file_io.utils import listdir # from fcutils.video.utils import trim_clip config_file = 'D:\\Dropbox (UCL - SWC)\\Rotation_vte\\Locomotion\\dlc\\locomotion-Federico\\config.yaml' dlc.train_network(config_file) # fld = 'D:\\Dropbox (UCL - SWC)\\Rotation_vte\\Locomotion...

34.681818

162

0.728702

0

624

0.817824

04538ee88a4559bebed7924c46e1d13c7c263e79

5,290

py

Python

rmApp.py

LREN-CHUV/mip-apps-manager

989d4a9fa5bf398ba71b5e4622e3f1deed0ac055

[ "MIT" ]

null

rmApp.py

LREN-CHUV/mip-apps-manager

989d4a9fa5bf398ba71b5e4622e3f1deed0ac055

[ "MIT" ]

null

rmApp.py

LREN-CHUV/mip-apps-manager

989d4a9fa5bf398ba71b5e4622e3f1deed0ac055

[ "MIT" ]

null

#!/usr/bin/env python import argparse, shutil, os, sys def getArgs(): parser = argparse.ArgumentParser() parser.add_argument('app', help='Application identifier (used by the app developer)') parser.add_argument('mipDir', help='Directory containing the mip application (<path>/app/)') return parser.parse_args() ...

28.138298

98

0.656333

0

1,830

0.345936

04548c65b3a29cd8c065d7a21cdd9addeb849019

1,846

py

Python

setup.py

aparafita/flow-torch

4b94a444d05f75334c91bfd697087b393c49d3c3

[ "MIT" ]

22

2020-01-20T02:32:45.000Z

2021-12-14T17:22:40.000Z

setup.py

aparafita/flow-torch

4b94a444d05f75334c91bfd697087b393c49d3c3

[ "MIT" ]

null

setup.py

aparafita/flow-torch

4b94a444d05f75334c91bfd697087b393c49d3c3

[ "MIT" ]

2

2020-08-19T03:03:29.000Z

2021-06-10T05:49:26.000Z

#!/usr/bin/env python from setuptools import setup version = '0.1.2' long_description = """ # flow This project implements basic Normalizing Flows in PyTorch and provides functionality for defining your own easily, following the conditioner-transformer architecture. This is specially useful for lower-dimensional...

32.385965

80

0.712351

0

1,254

0.678939

0454da70bf56318261f39eb6d452f26d17c27244

430

py

Python

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

null

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

4

2022-03-03T12:47:02.000Z

2022-03-08T18:10:34.000Z

app/routes/__init__.py

Poketnans/capstone-q3

38d550a54ff41387534241df85eb8aa8c9b6ba7e

[ "MIT" ]

1

2022-03-17T14:21:30.000Z

from flask import Flask from .storage_blueprint import bp_storage from .tattooists_blueprint import bp_tattooists from .tattoos_blueprint import bp_tattoos from .clients_blueprint import bp_clients def init_app(app: Flask) -> None: ''' Registra as blueprints ''' app.register_blueprint(bp_storage) app.re...

26.875

47

0.8

0

30

0.069767

0455b199d187f2d50b426f8cc0174c4016c20c0b

692

py

Python

PDF-Tools/makepdf/make-pdf-helloworld.py

maysam-h/pdf-toolz

dc182242b11dd1737ee787f19395569382af510f

[ "BSD-2-Clause" ]

null

PDF-Tools/makepdf/make-pdf-helloworld.py

maysam-h/pdf-toolz

dc182242b11dd1737ee787f19395569382af510f

[ "BSD-2-Clause" ]

null

PDF-Tools/makepdf/make-pdf-helloworld.py

maysam-h/pdf-toolz

dc182242b11dd1737ee787f19395569382af510f

[ "BSD-2-Clause" ]

1

2020-09-17T23:17:16.000Z

#20080518 #20080519 import mPDF import time import zlib import sys if len(sys.argv) != 2: print "Usage: make-pdf-helloworld pdf-file" print " " print " Source code put in the public domain by Didier Stevens, no Copyright" print " Use at your own risk" print " https://DidierStevens...

20.352941

83

0.605491

0

376

0.543353

0455f230ec9eb1646bbd8b355eef81e8a026f547

5,969

py

Python

tests/test_adapters.py

bernt-matthias/cutadapt

9ba5b705ba0e6cc5e32d4ce3810788b05b16a306

[ "MIT" ]

null

tests/test_adapters.py

bernt-matthias/cutadapt

9ba5b705ba0e6cc5e32d4ce3810788b05b16a306

[ "MIT" ]

null

tests/test_adapters.py

bernt-matthias/cutadapt

9ba5b705ba0e6cc5e32d4ce3810788b05b16a306

[ "MIT" ]

null

import pytest from dnaio import Sequence from cutadapt.adapters import Adapter, Match, Where, LinkedAdapter def test_issue_52(): adapter = Adapter( sequence='GAACTCCAGTCACNNNNN', where=Where.BACK, remove='suffix', max_error_rate=0.12, min_overlap=5, read_wildcards=...

33.346369

107

0.640978

0

236

0.039538

0

1,140

0.190987

04562a0ab45671a8901e0ae58163340c6b6aee32

160

py

Python

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

19

2021-07-06T16:35:27.000Z

2022-02-08T04:59:21.000Z

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

30

2021-07-14T04:13:11.000Z

2021-11-22T20:45:15.000Z

oaff/app/oaff/app/data/sources/common/provider.py

JBurkinshaw/ogc-api-fast-features

4fc6ba3cc4df1600450fe4c9f35320b00c69f158

[ "MIT" ]

6

2021-07-06T16:35:28.000Z

2021-09-17T19:24:49.000Z

from typing import List, Optional from pydantic import BaseModel class Provider(BaseModel): url: str name: str roles: Optional[List[str]] = None

16

37

0.7125

91

0.56875

0

0456a960cd6f7a8fb4aa5ca64de8acbb20393184

1,909

py

Python

hackerrank/Data Structures/Super Maximum Cost Queries/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

4

2020-07-24T01:59:50.000Z

2021-07-24T15:14:08.000Z

hackerrank/Data Structures/Super Maximum Cost Queries/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

hackerrank/Data Structures/Super Maximum Cost Queries/solution.py

ATrain951/01.python-com_Qproject

c164dd093954d006538020bdf2e59e716b24d67c

[ "MIT" ]

null

#!/bin/python3 import os # # Complete the 'solve' function below. # # The function is expected to return an INTEGER_ARRAY. # The function accepts following parameters: # 1. 2D_INTEGER_ARRAY tree # 2. 2D_INTEGER_ARRAY queries # def solve(tree, queries): # Write your code here from bisect import bisect_righ...

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64

0.510739

0

1,138

0.596124

0

266

0.13934

0457bad8f142fab99c1a60023685415f8bbe17c7

2,598

py

Python

tests/test.py

bitlang/kabob

fe5c428df2723979183bb72a7435ffd34e404199

[ "MIT" ]

null

tests/test.py

bitlang/kabob

fe5c428df2723979183bb72a7435ffd34e404199

[ "MIT" ]

null

tests/test.py

bitlang/kabob

fe5c428df2723979183bb72a7435ffd34e404199

[ "MIT" ]

null

from unittest import TestCase from kabob import _ class KabobTestCase(TestCase): def _T(self, obj, kbb): from kabob.wand import Kabob self.assertIsInstance(kbb, Kabob) return [x for x in kbb(obj)] class TestKabob(KabobTestCase): def test_contains(self): fixture = [dict(bar=1...

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0.550038

2,541

0.97806

0

67

0.025789

0459c4c4ec84836ab5b740797c06885228f4e2e7

1,336

bzl

Python

flatbuffers/internal/run_flatc.bzl

kgreenek/rules_flatbuffers

057e887e81749e64f405381a3471eb9e9674b9b5

[ "Apache-2.0" ]

2

2021-09-27T05:43:14.000Z

2021-10-04T09:31:55.000Z

flatbuffers/internal/run_flatc.bzl

kgreenek/rules_flatbuffers

057e887e81749e64f405381a3471eb9e9674b9b5

[ "Apache-2.0" ]

null

flatbuffers/internal/run_flatc.bzl

kgreenek/rules_flatbuffers

057e887e81749e64f405381a3471eb9e9674b9b5

[ "Apache-2.0" ]

null

load("//flatbuffers/internal:string_utils.bzl", "capitalize_first_char") def _include_args_from_depset(includes_depset): # Always include the workspace root. include_args = ["-I", "."] for include in includes_depset.to_list(): include_args.append("-I") include_args.append(include) retur...

32.585366

98

0.656437

0

176

0.131737

045a80d7f686a5ac42ed1b41490dca313e15dfed

2,412

py

Python

src/search_name.py

MansurS404/MS403

77f582dfdbc8918c9ea160c4f1af3cf14f9ea691

[ "Apache-2.0" ]

1

2020-10-09T18:36:58.000Z

src/search_name.py

MansurS404/MS403

77f582dfdbc8918c9ea160c4f1af3cf14f9ea691

[ "Apache-2.0" ]

1

2020-10-09T18:38:48.000Z

src/search_name.py

MansurS404/MS403

77f582dfdbc8918c9ea160c4f1af3cf14f9ea691

[ "Apache-2.0" ]

null

#!usr/bin/python2.7 # coding=utf-8 ####################################################### # Name : Multi BF (MBF) <cookie method> # # File : search_name.py # # Author : DulLah # # Github : https://github.com/dz-id # # Fa...

32.16

144

0.532338

0

1,087

0.450663

045ab6d7b2818c3906b03b2e9bb0ddef41f82336

26,619

py

Python

vistrails/gui/modules/constant_configuration.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

83

2015-01-05T14:50:50.000Z

2021-09-17T19:45:26.000Z

vistrails/gui/modules/constant_configuration.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

254

2015-01-02T20:39:19.000Z

2018-11-28T17:16:44.000Z

vistrails/gui/modules/constant_configuration.py

remram44/VisTrails-mybinder

ee7477b471920d738f3ac430932f01901b56ed44

[ "BSD-3-Clause" ]

40

2015-04-17T16:46:36.000Z

2021-09-28T22:43:24.000Z

############################################################################### ## ## Copyright (C) 2014-2016, New York University. ## Copyright (C) 2011-2014, NYU-Poly. ## Copyright (C) 2006-2011, University of Utah. ## All rights reserved. ## Contact: [email protected] ## ## This file is part of VisTrails. ## ## ...

37.125523

122

0.626845

23,016

0.864646

0

5,328

0.200158

045aff75c614e75b486992543a832ede496de5f2

1,324

py

Python

setup.py

davidrpugh/solowPy

91577e04481cec80679ae571ec2bdaa5788151b4

[ "MIT" ]

31

2016-02-29T00:20:53.000Z

2022-01-26T17:40:38.000Z

setup.py

rfonsek/solowPy

91577e04481cec80679ae571ec2bdaa5788151b4

[ "MIT" ]

11

2015-04-04T20:01:35.000Z

2017-02-20T05:42:49.000Z

setup.py

rfonsek/solowPy

91577e04481cec80679ae571ec2bdaa5788151b4

[ "MIT" ]

20

2015-08-23T23:42:09.000Z

2022-02-23T08:00:53.000Z

import os from distutils.core import setup def read(*paths): """Build a file path from *paths* and return the contents.""" with open(os.path.join(*paths), 'r') as f: return f.read() DESCRIPTION = ("Library for solving, simulating, and estimating the " + "Solow (1956) model of economic...

33.1

71

0.561934

0

707

0.533988

045b9a5f27ab07d95821029cdcec623c2884d66a

3,236

py

Python

seaport/pull_request/portfile.py

fossabot/seaport

e4a5c5ada7f21529912f688e36c75cecd3a2c53c

[ "BSD-3-Clause" ]

null

seaport/pull_request/portfile.py

fossabot/seaport

e4a5c5ada7f21529912f688e36c75cecd3a2c53c

[ "BSD-3-Clause" ]

null

seaport/pull_request/portfile.py

fossabot/seaport

e4a5c5ada7f21529912f688e36c75cecd3a2c53c

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # Copyright (c) 2021, harens # # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this...

36.772727

82

0.717553

0

2,471

0.763597

045e78652d194f324a318fa3d010fd1ce3d5d4e7

12,020

py

Python

CRYSTAL/crystal_raman.py

permanentchange/raman-sc

909c8d879dd97f118860e2a3a4edae2aa03f02b5

[ "MIT" ]

1

2021-01-30T12:38:07.000Z

CRYSTAL/crystal_raman.py

permanentchange/raman-sc

909c8d879dd97f118860e2a3a4edae2aa03f02b5

[ "MIT" ]

null

CRYSTAL/crystal_raman.py

permanentchange/raman-sc

909c8d879dd97f118860e2a3a4edae2aa03f02b5

[ "MIT" ]

1

2021-05-10T01:38:30.000Z

#!/usr/bin/env python # # Raman off-resonant activity calculator # using CRYSTAL as a back-end. # # Contributors: Alexandr Fonari (Georgia Tech) # MIT license, 2013 # # def parse_fort34_header(fort34_fh): import sys from math import sqrt # fort34_fh.seek(0) # just in case # header = [fort34_fh.n...

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0.045175

126

0.010483

0

3,709

0.308569

045eb6a2ba55cf3cf66628da3f1e015463d0468c

2,281

py

Python

src/eval/novel_bigrams.py

HenryDashwood/sentence-planner

0bf9b88d7af36a936febe90672eeb5aed0022c63

[ "MIT" ]

3

2021-09-30T15:11:50.000Z

2022-02-15T09:25:57.000Z

src/eval/novel_bigrams.py

HenryDashwood/sentence-planner

0bf9b88d7af36a936febe90672eeb5aed0022c63

[ "MIT" ]

null

src/eval/novel_bigrams.py

HenryDashwood/sentence-planner

0bf9b88d7af36a936febe90672eeb5aed0022c63

[ "MIT" ]

2

2022-02-23T14:34:11.000Z

2022-03-11T08:21:34.000Z

# # Copyright (c) 2021 Idiap Research Institute, https://www.idiap.ch/ # Written by Andreas Marfurt <[email protected]> # """ Computes the proportion of novel bigrams in the summary. """ import numpy as np import pandas as pd from interface import Evaluation from eval_utils import preprocess_article, preproce...

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0.718106

0

589

0.25822

0

509

0.223148

f086f739861192cb28069ef1a4ac8f79101a91b4

2,003

py

Python

examples/caget.py

delta-accelerator/channel_access.client

531a35634845a6b009210b9537c3acf42c86f76f

[ "MIT" ]

null

examples/caget.py

delta-accelerator/channel_access.client

531a35634845a6b009210b9537c3acf42c86f76f

[ "MIT" ]

null

examples/caget.py

delta-accelerator/channel_access.client

531a35634845a6b009210b9537c3acf42c86f76f

[ "MIT" ]

null

import argparse import channel_access.common as ca import channel_access.client as cac if __name__ == '__main__': parser = argparse.ArgumentParser(description='Read process values') parser.add_argument('pvs', metavar='PV', type=str, nargs='+', help='list of process values') args ...

43.543478

105

0.591113

0

969

0.483774

f087078a59a53f53c94da1a5511f5c19ca713f04

6,975

py

Python

utils/hamiltonian.py

fhoeb/fh-thesis-scripts

8894296ee2ca64bc208cc28803ac888b33bb4a94

[ "BSD-3-Clause" ]

2

2020-09-27T16:17:06.000Z

2022-02-01T15:25:40.000Z

utils/hamiltonian.py

fhoeb/fh-thesis-scripts

8894296ee2ca64bc208cc28803ac888b33bb4a94

[ "BSD-3-Clause" ]

null

utils/hamiltonian.py

fhoeb/fh-thesis-scripts

8894296ee2ca64bc208cc28803ac888b33bb4a94

[ "BSD-3-Clause" ]

1

2021-01-18T00:13:01.000Z

from scipy.special import factorial from itertools import count import numpy as np from tmps.utils import pauli, fock def get_boson_boson_dim(alpha, cutoff_coh): """ Find the cutoff for the local dimension (identical everywhere) from the chosen accuracy alpha for the impurity coherent state. "...

42.791411

118

0.677993

0

2,927

0.419642

f08884e338e058e8d57f6ec08eecc817c73c4a4f

2,564

py

Python

zpgc_2016/include/logbook.py

mpatacchiola/naogui

2c71c82362edcf66b1a24a5f2af23e9719011146

[ "MIT" ]

2

2017-12-22T14:33:07.000Z

2020-07-23T09:35:59.000Z

zpgc_2016/include/logbook.py

mpatacchiola/naogui

2c71c82362edcf66b1a24a5f2af23e9719011146

[ "MIT" ]

null

zpgc_2016/include/logbook.py

mpatacchiola/naogui

2c71c82362edcf66b1a24a5f2af23e9719011146

[ "MIT" ]

4

2016-04-01T10:02:39.000Z

2018-04-14T08:05:20.000Z

#!/usr/bin/env python import os import time class Logbook(object): def __init__(self): """ Class initialization """ self._id = time.strftime("%d%m%Y_%H%M%S", time.gmtime()) #id of the log, it's the timestamp self._trial = 0 self._pinv = 0.0 self._rinv = 0.0...

32.871795

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0.49454

2,516

0.981279

0

630

0.24571

f08b09f830197b622c222148be38b3159d8bff5d

6,346

py

Python

src/experimental_results/outdoor test/path_planning_analysis.py

NASLab/GroundROS

6673db009ffcff59500eb1e3d5873111282e7749

[ "MIT" ]

1

2017-12-17T11:11:55.000Z

src/experimental_results/outdoor test/path_planning_analysis.py

NASLab/GroundROS

6673db009ffcff59500eb1e3d5873111282e7749

[ "MIT" ]

2

2015-10-02T19:02:06.000Z

2015-10-02T19:02:36.000Z

src/experimental_results/outdoor test/path_planning_analysis.py

NASLab/GroundROS

6673db009ffcff59500eb1e3d5873111282e7749

[ "MIT" ]

null

# python experimental tests for Husky from numpy import sin, cos, pi, load import matplotlib.pyplot as plt from time import sleep yaw_bound = 2 * pi / 180 yaw_calibrate = pi / 180 * (0) x_offset_calibrate = 0 y_offset_calibrate = -.08 f0 = plt.figure() ax0 = f0.add_subplot(111) ax1 = f0.add_subplot(111) env_data = ...

30.956098

129

0.560668

0

4,359

0.686889

f08b140b4aa6ed14ab345d4ef1509b7d92f9f433

1,770

py

Python

source/study/score.py

mverleg/WW

b58a9bbfc91d19541840f490ed59997d85389c0a

[ "MIT" ]

null

source/study/score.py

mverleg/WW

b58a9bbfc91d19541840f490ed59997d85389c0a

[ "MIT" ]

1

2016-03-18T09:29:42.000Z

source/study/score.py

mverleg/WW

b58a9bbfc91d19541840f490ed59997d85389c0a

[ "MIT" ]

null

from sys import stderr from study.models import Result, ActiveTranslation def update_score(learner, result, verified=False): """ Update the score after a phrase has been judged. :param result: Result.CORRECT, Result.CLOSE or Result.INCORRECT :return: Result instance """ if result == Result.CORRECT: base =...

39.333333

292

0.766102

0

1,138

0.642938

f08ba58aa1ee5462b9589a7cefae921b8d9e4b35

477

py

Python

titan/react_pkg/prettier/__init__.py

mnieber/moonleap

2c951565c32f2e733a063b4a4f7b3d917ef1ec07

[ "MIT" ]

null

titan/react_pkg/prettier/__init__.py

mnieber/moonleap

2c951565c32f2e733a063b4a4f7b3d917ef1ec07

[ "MIT" ]

null

titan/react_pkg/prettier/__init__.py

mnieber/moonleap

2c951565c32f2e733a063b4a4f7b3d917ef1ec07

[ "MIT" ]

null

from pathlib import Path from moonleap import add, create from titan.project_pkg.service import Tool from titan.react_pkg.nodepackage import load_node_package_config class Prettier(Tool): pass base_tags = [("prettier", ["tool"])] @create("prettier") def create_prettier(term, block): prettier = Prettier(n...

22.714286

66

0.761006

30

0.062893

0

235

0.492662

0

47

0.098532

f08c68a65e967b9aa34c701a06cb12906d568f55

787

py

Python

docs/make_readme.py

thombashi/tabledata

4e93930f89ae27c4ed852b4b61082a0457183019

[ "MIT" ]

4

2018-09-15T14:57:57.000Z

2022-01-05T20:27:37.000Z

docs/make_readme.py

thombashi/tabledata

4e93930f89ae27c4ed852b4b61082a0457183019

[ "MIT" ]

null

docs/make_readme.py

thombashi/tabledata

4e93930f89ae27c4ed852b4b61082a0457183019

[ "MIT" ]

null

#!/usr/bin/env python """ .. codeauthor:: Tsuyoshi Hombashi <[email protected]> """ import sys from readmemaker import ReadmeMaker PROJECT_NAME = "tabledata" OUTPUT_DIR = ".." def main(): maker = ReadmeMaker( PROJECT_NAME, OUTPUT_DIR, is_make_toc=True, project_url=f"...

19.675

67

0.683609

0

266

0.337992

f08e63b84393000dc066899772d576a46b3ce28c

1,860

py

Python

expired_cert_finder/scanner.py

alphagov/expired-cert-finder

c77843dab36a12f82cba9cdf18d85dfc5dd5e7c5

[ "MIT" ]

1

2021-01-30T18:45:02.000Z

expired_cert_finder/scanner.py

alphagov/expired-cert-finder

c77843dab36a12f82cba9cdf18d85dfc5dd5e7c5

[ "MIT" ]

null

expired_cert_finder/scanner.py

alphagov/expired-cert-finder

c77843dab36a12f82cba9cdf18d85dfc5dd5e7c5

[ "MIT" ]

2

2021-01-31T00:07:09.000Z

2021-04-10T20:17:57.000Z

#! /usr/bin/env python from expired_cert_finder.plugins.raw import RawParser from expired_cert_finder.plugins.yaml import YamlParser from expired_cert_finder.allowed_certs import AllowedCerts rawParser = RawParser yamlParser = YamlParser # handle dynamic loading. def scan_file_for_certificate(path, expired_only, d...

31

127

0.56828

0

265

0.142473

f08fc0d043f30f7b77fc0be9f310cc14919727ea

153

py

Python

pywi/processing/__init__.py

jeremiedecock/mrif

094b0dd81ff2be0e24bf3871caab48da1b5d138b

[ "MIT" ]

1

2021-07-06T06:02:45.000Z

pywi/processing/__init__.py

jeremiedecock/mrif

094b0dd81ff2be0e24bf3871caab48da1b5d138b

[ "MIT" ]

null

pywi/processing/__init__.py

jeremiedecock/mrif

094b0dd81ff2be0e24bf3871caab48da1b5d138b

[ "MIT" ]

1

2019-01-07T10:50:38.000Z

"""Processing modules This package contains image processing algorithms. """ from . import compositing from . import filtering from . import transform

17

50

0.784314

0

77

0.503268

f08fde25b780c828cb41e9681045e08d41cd14d7

3,128

py

Python

atlas/foundations_contrib/src/test/test_lazy_bucket.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

296

2020-03-16T19:55:00.000Z

2022-01-10T19:46:05.000Z

atlas/foundations_contrib/src/test/test_lazy_bucket.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

57

2020-03-17T11:15:57.000Z

2021-07-10T14:42:27.000Z

atlas/foundations_contrib/src/test/test_lazy_bucket.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

38

2020-03-17T21:06:05.000Z

2022-02-08T03:19:34.000Z

import unittest from mock import Mock from foundations_spec.helpers.spec import Spec from foundations_spec.helpers import let, let_mock, set_up class TestLazyBucket(Spec): @let def lazy_bucket(self): from foundations_contrib.lazy_bucket import LazyBucket return LazyBucket(self.bucket_constru...

38.146341

84

0.728581

2,979

0.952366

0

233

0.074488

0

f0924e750052f6e9608fdfdf58fe2cfd7f5812d2

1,557

py

Python

Hw/H3_CNN/model.py

zhigangjiang/DLAndML-Experiment

162fb9c2a0865b6adf16f9a9e9a3f6a9b3e7f9b6

[ "MIT" ]

2

2021-11-09T14:28:19.000Z

2022-03-03T17:49:23.000Z

Hw/H3_CNN/model.py

zhigangjiang/DLAndML-Experiment

162fb9c2a0865b6adf16f9a9e9a3f6a9b3e7f9b6

[ "MIT" ]

null

Hw/H3_CNN/model.py

zhigangjiang/DLAndML-Experiment

162fb9c2a0865b6adf16f9a9e9a3f6a9b3e7f9b6

[ "MIT" ]

null

from abc import ABC import torch.nn as nn class CNN5(nn.Module, ABC): def __init__(self): super(CNN5, self).__init__() # torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding) # torch.nn.MaxPool2d(kernel_size, stride, padding) # input 維度 [3, 128, 128] self...

30.529412

82

0.451509

1,516

0.971172

0

296

0.189622

f0935e4564c845dcf620246319af92237bea563f

167

py

Python

calvestbr/__init__.py

IsaacHiguchi/calvestbr

ebf702e9e67299c822a6cc21cad60b247446fcfa

[ "MIT" ]

null

calvestbr/__init__.py

IsaacHiguchi/calvestbr

ebf702e9e67299c822a6cc21cad60b247446fcfa

[ "MIT" ]

null

calvestbr/__init__.py

IsaacHiguchi/calvestbr

ebf702e9e67299c822a6cc21cad60b247446fcfa

[ "MIT" ]

null

"""Top-level package for Calendário dos Vestibulares do Brasil.""" __author__ = """Ana_Isaac_Marina""" __email__ = '[email protected]' __version__ = '0.0.1'

27.833333

66

0.742515

0

124

0.738095

f095a7bbf05cec0014035a747e47610d7205956c

776

py

Python

controllers/utils_faq.py

haoyuchen1992/CourseBuilder

ba8f0e05c53cc74bb4e46235a7855fdfbd63dff7

[ "Apache-2.0" ]

null

controllers/utils_faq.py

haoyuchen1992/CourseBuilder

ba8f0e05c53cc74bb4e46235a7855fdfbd63dff7

[ "Apache-2.0" ]

null

controllers/utils_faq.py

haoyuchen1992/CourseBuilder

ba8f0e05c53cc74bb4e46235a7855fdfbd63dff7

[ "Apache-2.0" ]

null

from utils import BaseHandler class FaqHandler(BaseHandler): """Handler for FAQ page.""" def get(self): """Handler GET requests.""" # print "Get current get_user" # print self.get_user() # if not self.get_user(): # self.transient_student = True #This if statement will let the non-student un...

32.333333

71

0.675258

740

0.953608

0

409

0.527062

f095d3380b5ebd2361d49e633805f48a1b42caba

2,866

py

Python

tests/knowledge/rules/aws/context_aware/test_ec2_role_share_rule.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

tests/knowledge/rules/aws/context_aware/test_ec2_role_share_rule.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

tests/knowledge/rules/aws/context_aware/test_ec2_role_share_rule.py

my-devops-info/cloudrail-knowledge

b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e

[ "MIT" ]

null

import unittest from cloudrail.knowledge.context.aws.aws_connection import PublicConnectionDetail, PolicyConnectionProperty, ConnectionDirectionType from cloudrail.knowledge.context.aws.ec2.ec2_instance import Ec2Instance from cloudrail.knowledge.context.aws.ec2.network_interface import NetworkInterface from cloudrail...

40.942857

132

0.759944

2,185

0.762387

0

130

0.045359

f097797de16f7deb2c318c5dc0e0e9f9d0347528

1,967

py

Python

python/setup.py

rpiotrow/lolo

54c9b065daccb1f617639dc8f5ff262eb572f626

[ "Apache-2.0" ]

34

2017-01-30T18:57:10.000Z

2022-02-24T22:34:59.000Z

python/setup.py

rpiotrow/lolo

54c9b065daccb1f617639dc8f5ff262eb572f626

[ "Apache-2.0" ]

121

2017-01-10T16:47:39.000Z

2022-02-15T03:23:20.000Z

python/setup.py

rpiotrow/lolo

54c9b065daccb1f617639dc8f5ff262eb572f626

[ "Apache-2.0" ]

14

2017-02-15T18:40:51.000Z

2021-10-20T05:47:41.000Z

from setuptools import setup from glob import glob import shutil import sys import os # single source of truth for package version version_ns = {} with open(os.path.join("lolopy", "version.py")) as f: exec(f.read(), version_ns) version = version_ns['__version__'] # Find the lolo jar JAR_FILE = glob(os.path.join('...

34.508772

102

0.708185

0

1,024

0.52059

f0994ccd4067e97928229e99678562d13da50032

5,254

py

Python

src/zebrafish_ec_migration/pipelines/cell_trajectory_analysis_pipeline/compute_trajectory_features.py

wgiese/zebrafish_ec_migration

6c0e83716f4b9dcf8ca67528ae1efba031c75117

[ "Apache-2.0" ]

null

src/zebrafish_ec_migration/pipelines/cell_trajectory_analysis_pipeline/compute_trajectory_features.py

wgiese/zebrafish_ec_migration

6c0e83716f4b9dcf8ca67528ae1efba031c75117

[ "Apache-2.0" ]

null

src/zebrafish_ec_migration/pipelines/cell_trajectory_analysis_pipeline/compute_trajectory_features.py

wgiese/zebrafish_ec_migration

6c0e83716f4b9dcf8ca67528ae1efba031c75117

[ "Apache-2.0" ]

null

import pandas as pd from typing import Dict, List import numpy as np import pylab as plt def compute_trajectory_features_set1(aligned_trajector_key_file: pd.DataFrame, parameters: Dict, start_time, end_time): features_df = pd.DataFrame() data_statistics_df = pd.DataFrame() counter = 0 frame_interval =...

47.763636

120

0.611153

0

802

0.152646

f09aa0a3772d06c65a4b92ef0f3b86114c850ba5

22,421

py

Python

scripts/beck/st/error_injection.py

papan-singh/cortx-motr-1

79351a56dffcb3968db9a6d4fee685a5443ed2f7

[ "Apache-2.0" ]

null

scripts/beck/st/error_injection.py

papan-singh/cortx-motr-1

79351a56dffcb3968db9a6d4fee685a5443ed2f7

[ "Apache-2.0" ]

1

2022-02-03T09:51:48.000Z

scripts/beck/st/error_injection.py

papan-singh/cortx-motr-1

79351a56dffcb3968db9a6d4fee685a5443ed2f7

[ "Apache-2.0" ]

null

#!/usr/bin/python3 # # Copyright (c) 2020 Seagate Technology LLC and/or its Affiliates # # 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 # # Un...

41.908411

134

0.611659

0

8,411

0.375139

f09b0ac82d16a4658253e26c01ef5ddc01555542

703

py

Python

vaksinasi/migrations/0003_auto_20211029_0123.py

harmonica-pacil/invid19

b4986f3375721deb02c9b9b8c982cd4e426c423c

[ "Unlicense" ]

1

2021-12-27T12:50:05.000Z

vaksinasi/migrations/0003_auto_20211029_0123.py

harmonica-pacil/invid19

b4986f3375721deb02c9b9b8c982cd4e426c423c

[ "Unlicense" ]

null

vaksinasi/migrations/0003_auto_20211029_0123.py

harmonica-pacil/invid19

b4986f3375721deb02c9b9b8c982cd4e426c423c

[ "Unlicense" ]

null

# Generated by Django 3.2.8 on 2021-10-28 18:23 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('vaksinasi', '0002_alter_pendaftar_nik'), ] operations = [ migrations.AlterField( model_name='pendaftar', name='NIK',...

29.291667

132

0.618777

610

0.86771

0

210

0.29872

f09c5c08205d285d8d7e7dce3b7328bf5dab9194

1,991

py

Python

classes/stack.py

EashanKaushik/Data-Structures

e5bd391e029cb47e650d5665647ff57590b9b343

[ "MIT" ]

null

classes/stack.py

EashanKaushik/Data-Structures

e5bd391e029cb47e650d5665647ff57590b9b343

[ "MIT" ]

null

classes/stack.py

EashanKaushik/Data-Structures

e5bd391e029cb47e650d5665647ff57590b9b343

[ "MIT" ]

null

# node class for develping linked list class Node: def __init__(self, data=None, pointer=None): self.data = data self.pointer = pointer def set_data(self, data): self.data = data def get_data(self): return self.data def set_pointer(self, pointer): ...

21.641304

64

0.547464

1,710

0.858865

0

311

0.156203

f09cb2a4e4c26044201ef4e090ad7fb351584737

2,562

py

Python

demo.py

jjegg01/abp.spherical2d.pairdistribution

0bf26cda1190239e66050a747aed0a7999e12fa5

[ "MIT" ]

null

demo.py

jjegg01/abp.spherical2d.pairdistribution

0bf26cda1190239e66050a747aed0a7999e12fa5

[ "MIT" ]

null

demo.py

jjegg01/abp.spherical2d.pairdistribution

0bf26cda1190239e66050a747aed0a7999e12fa5

[ "MIT" ]

null

#!/usb/bin/env python3 """Demo script for abp.spherical2d.pairdistribution module.""" __author__ = "Julian Jeggle, Raphael Wittkowski" __copyright__ = "Copyright (C) 2019 Julian Jeggle, Raphael Wittkowski" __license__ = "MIT" __version__ = "1.0" import argparse import numpy as np import matplotlib.pyplot as plt fro...

29.790698

79

0.704528

0

1,084

0.423107

f09cd4790660d9a86da869eaae87a9f25e67fb79

12,481

py

Python

pdfMerge/pdf_merge.py

R3CEPT0R/pdfuse

beeb4f9ef42d49728653752094563d3e0bcef68f

[ "MIT" ]

null

pdfMerge/pdf_merge.py

R3CEPT0R/pdfuse

beeb4f9ef42d49728653752094563d3e0bcef68f

[ "MIT" ]

null

pdfMerge/pdf_merge.py

R3CEPT0R/pdfuse

beeb4f9ef42d49728653752094563d3e0bcef68f

[ "MIT" ]

null

import PyPDF2 import fitz import io from PIL import Image import os import random import string import pikepdf from tqdm import tqdm from zipfile import ZipFile from reportlab.pdfgen import canvas from reportlab.lib.pagesizes import letter from pathlib import Path """ Converts entire PDF to set of disjoint PNG images...

31.438287

86

0.60548

0

3,687

0.295409

f09d6bc79182104f7a69ace2308580f3f628dc90

1,902

py

Python

grAdapt/sampling/equidistributed/Mitchell.py

mkduong-ai/grAdapt

94c2659b0f6ff9a2984a9dc58e3c83213313bf90

[ "Apache-2.0" ]

25

2020-11-13T05:57:01.000Z

2021-06-18T11:16:03.000Z

grAdapt/sampling/equidistributed/Mitchell.py

mkduong-ai/grAdapt

94c2659b0f6ff9a2984a9dc58e3c83213313bf90

[ "Apache-2.0" ]

null

grAdapt/sampling/equidistributed/Mitchell.py

mkduong-ai/grAdapt

94c2659b0f6ff9a2984a9dc58e3c83213313bf90

[ "Apache-2.0" ]

null

# Python Standard Libraries import warnings # grAdapt # from .base import Equidistributed from .MaximalMinDistance import MaximalMinDistance class Mitchell(MaximalMinDistance): """ [Mitchell et al., 1991], Spectrally optimal sampling for distribution ray tracing """ def __init__(self, m=3): ...

35.886792

84

0.605152

1,757

0.923764

0

1,303

0.685068

f09dd989151cb3043faf87d4533e594413a8d5d4

1,141

py

Python

poly_py_tools/payload.py

mjmunger/PolyPyTools

116014a47479f360ee73006d6ba3ddc7f362c7a1

[ "MIT" ]

7

2017-11-15T19:25:37.000Z

2022-01-20T01:30:56.000Z

poly_py_tools/payload.py

DrDamnit/PolyPyTools

116014a47479f360ee73006d6ba3ddc7f362c7a1

[ "MIT" ]

40

2020-05-19T19:46:20.000Z

2020-11-12T16:13:55.000Z

poly_py_tools/payload.py

mjmunger/PolyPyTools

116014a47479f360ee73006d6ba3ddc7f362c7a1

[ "MIT" ]

null

import os from poly_py_tools.dialplan_entry import Entry from poly_py_tools.polypy_config import PolypyConfig class Payload: dialplan_entry = None provisioned_directory = None config = None sources = None def __init__(self, config:PolypyConfig, dialplan_entry: Entry): self.dialplan_entr...

32.6

129

0.660824

1,028

0.900964

0

91

0.079755

f09e721d7a2aea6a6da9968525dbcc1b80b3e3d5

549

py

Python

tests/test_cosine_estimator.py

lefnire/lefnire_ml_utils

65b84bb59faa41268aa14405daa58f6ba0b2509b

[ "MIT" ]

3

2020-10-27T04:03:16.000Z

2021-03-06T01:26:06.000Z

tests/test_cosine_estimator.py

lefnire/lefnire_ml_utils

65b84bb59faa41268aa14405daa58f6ba0b2509b

[ "MIT" ]

3

2020-10-08T22:47:55.000Z

2020-10-29T18:43:36.000Z

tests/test_cosine_estimator.py

lefnire/lefnire_ml_utils

65b84bb59faa41268aa14405daa58f6ba0b2509b

[ "MIT" ]

null

from ml_tools import CosineEstimator, Similars from ml_tools.fixtures import articles import numpy as np corpus = articles() split_ = len(corpus)//3 x, y = corpus[split_:], corpus[:split_] # note reversal; x should be smaller x, y = Similars(x, y).embed().value() def test_cosine_estimator(): dnn = CosineEstimat...

28.894737

77

0.712204

0

107

0.1949

f0a252d3651a304580c3dce4edc0080b4ebde52d

402

py

Python

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

from application.euclidean_distance import euclidean_distance def test_euclidean_distance(): point_a = (0, 0) point_b = (3, 4) distance_between_a_and_b = euclidean_distance(point_a, point_b) assert distance_between_a_and_b == 5 point_c = (-2, 3) point_d = (2, 3) distance_between_c_and_...

23.647059

67

0.728856

0

f0a3ad494e78ea0104d2f74ce9643e9fed92e18a

423

py

Python

Material.py

YuvalAriel/Path_Tracing

105ff37b94943eb3d9e0ebf13077547a5767b639

[ "Unlicense" ]

null

Material.py

YuvalAriel/Path_Tracing

105ff37b94943eb3d9e0ebf13077547a5767b639

[ "Unlicense" ]

null

Material.py

YuvalAriel/Path_Tracing

105ff37b94943eb3d9e0ebf13077547a5767b639

[ "Unlicense" ]

null

import numpy as np class Material: """send color as list of 3 floats in range of 0-1""" def __init__(self, color, reflection=0, transparency=0, emission=np.array((0, 0, 0)), refraction_ind=1): self.color = np.array(color) self.emission = emission # only for light sources self.reflect...

32.538462

108

0.671395

401

0.947991

0

76

0.179669

f0a3b174092260f45b2b53d775a1f36bc4ab8698

4,599

py

Python

MTVulnerability/models/DRNSegDepth.py

yamizi/taskaugment

8393e15d7ae16f267592edf1d67e20368aeeb1b5

[ "MIT" ]

null

MTVulnerability/models/DRNSegDepth.py

yamizi/taskaugment

8393e15d7ae16f267592edf1d67e20368aeeb1b5

[ "MIT" ]

null

MTVulnerability/models/DRNSegDepth.py

yamizi/taskaugment

8393e15d7ae16f267592edf1d67e20368aeeb1b5

[ "MIT" ]

null

import math import sys import torch from torch import nn import models.drn as drn # class Decoder(nn.Module): # # def __init__(self, # output_channels = 3, # ): # # self.output_channels = 3 # # # DEFINING MODEL AS COMPLEMENT OF BASE CHOSEN FOR DRN # # self...

32.387324

152

0.56621

3,761

0.817786

0

1,622

0.352685

f0a3f15b303ced78faaebde15a58c43f37452c94

5,686

py

Python

src/web/modules/post/controllers/post/create.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

2

2017-04-30T07:29:23.000Z

2017-04-30T07:36:27.000Z

src/web/modules/post/controllers/post/create.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

null

src/web/modules/post/controllers/post/create.py

unkyulee/elastic-cms

3ccf4476c3523d4fefc0d8d9dee0196815b81489

[ "MIT" ]

null

from flask import request, render_template import json import traceback import lib.es as es import web.util.tools as tools import web.modules.post.services.workflow as workflow import web.modules.post.services.upload as upload import web.util.jinja as jinja import web.modules.admin.services.notification as notification...

34.047904

109

0.470805

0

2,038

0.358424

f0a5756f3c51f204fd2707019d372fb6aa8f9179

7,096

py

Python

stibium/bot.py

szymonszl/stibium

bf9a7756edd8dcaeb65f1afdacbf8f4780827d00

[ "BSD-3-Clause" ]

null

stibium/bot.py

szymonszl/stibium

bf9a7756edd8dcaeb65f1afdacbf8f4780827d00

[ "BSD-3-Clause" ]

null

stibium/bot.py

szymonszl/stibium

bf9a7756edd8dcaeb65f1afdacbf8f4780827d00

[ "BSD-3-Clause" ]

null

"""This module provies the main Bot class""" import time import traceback import json import threading import sched from fbchat import models from ._fbclient import Client from ._logs import log from .dataclasses import Thread from .handlers import BaseHandler from ._i18n import _ class Bot(object): """Main St...

33.471698

98

0.52748

6,808

0.959414

0

1,337

0.188416

f0a6aad82c1650cdcb381029fba97553f6a8cf60

5,296

py

Python

train.py

SwatiSharda/Solar-forecasting

455b3573bd827bda5b00aea643cf29fea38958b2

[ "BSD-3-Clause" ]

3

2021-04-03T01:40:48.000Z

2021-11-21T11:52:53.000Z

train.py

SwatiSharda/Solar-forecasting

455b3573bd827bda5b00aea643cf29fea38958b2

[ "BSD-3-Clause" ]

null

train.py

SwatiSharda/Solar-forecasting

455b3573bd827bda5b00aea643cf29fea38958b2

[ "BSD-3-Clause" ]

null

import pandas as pd from torch.utils.data import DataLoader import multiprocessing as mp import argparse from DataSet import Dataset import torch import torch.nn as nn from os import path import Infer device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu') cpu = torch.device('cpu') parser = argparse.A...

42.368

126

0.719033

0

918

0.173338

f0a82aad993bf49b4180b264ae6f6a38e0fa4607

1,842

py

Python

txtpp/src/txtpp.py

Cc618/dotmgt

7c34ca1971e20a50ebdb4731ae43620e1296cc80

[ "MIT" ]

2

2022-01-08T10:11:58.000Z

2022-01-09T10:25:16.000Z

txtpp/src/txtpp.py

Cc618/dotmgt

7c34ca1971e20a50ebdb4731ae43620e1296cc80

[ "MIT" ]

null

txtpp/src/txtpp.py

Cc618/dotmgt

7c34ca1971e20a50ebdb4731ae43620e1296cc80

[ "MIT" ]

null

#!/usr/bin/env python3 import re import sys import io import os import traceback class TextPreprocessorError(Exception): def __init__(self, file_id, line, msg): super().__init__(f"{file_id}:{line}: {msg}") def debug_print(*args, **kwargs): print(*args, file=sys.stderr, **kwargs) def preprocess( ...

23.615385

135

0.623779

136

0.073833

0

361

0.195983

f0a9b76e7527fc4562f1dffa72d9bb26c30f1073

30

py

Python

vggface/resnet50/__init__.py

claudiourbina/VGGFace

362cc8f805c1fd4135fddf8d602026735bcfdf5a

[ "MIT" ]

null

vggface/resnet50/__init__.py

claudiourbina/VGGFace

362cc8f805c1fd4135fddf8d602026735bcfdf5a

[ "MIT" ]

null

vggface/resnet50/__init__.py

claudiourbina/VGGFace

362cc8f805c1fd4135fddf8d602026735bcfdf5a

[ "MIT" ]

null

from .resnet50 import ResNet50

30

0.866667

0

f0a9ef787da7675bb95305830e5a4f6a73cec7a5

14,354

py

Python

supportal/tests/app/management/commands/test_email_users_with_expiring_assignments.py

Elizabeth-Warren/supportal-backend

e55b0e8fd154730bab1708f27386b2adcb18cfbc

[ "MIT" ]

34

2020-03-27T14:59:04.000Z

2021-11-15T10:24:12.000Z

supportal/tests/app/management/commands/test_email_users_with_expiring_assignments.py

Elizabeth-Warren/supportal-backend

e55b0e8fd154730bab1708f27386b2adcb18cfbc

[ "MIT" ]

5

2021-03-18T22:51:05.000Z

2022-02-10T15:03:33.000Z

supportal/tests/app/management/commands/test_email_users_with_expiring_assignments.py

Elizabeth-Warren/supportal-backend

e55b0e8fd154730bab1708f27386b2adcb18cfbc

[ "MIT" ]

14

2020-03-27T17:36:39.000Z

2020-06-18T21:47:43.000Z

from datetime import datetime, timezone from io import StringIO from unittest import mock import freezegun import pytest from django.conf import settings from django.core.management import call_command from django.utils import timezone from model_bakery import baker from supportal.app.common.enums import CanvassResul...

33.933806

88

0.725442

0

11,489

0.800404

0

1,716

0.119549

f0aa0b1b2287e2d9b265d630907c744aa79a38c2

9,128

py

Python

reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/data_center_env.py

jpmarques19/tensorflwo-test

0ff8b06e0415075c7269820d080284a42595bb2e

[ "Apache-2.0" ]

5

2019-01-19T23:53:35.000Z

2022-01-29T14:04:31.000Z

reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/data_center_env.py

jpmarques19/tensorflwo-test

0ff8b06e0415075c7269820d080284a42595bb2e

[ "Apache-2.0" ]

6

2020-01-28T23:08:49.000Z

2022-02-10T00:27:19.000Z

reinforcement_learning/rl_hvac_coach_energyplus/src/eplus/envs/data_center_env.py

jpmarques19/tensorflwo-test

0ff8b06e0415075c7269820d080284a42595bb2e

[ "Apache-2.0" ]

8

2020-12-14T15:49:24.000Z

2022-03-23T18:38:36.000Z

import gym from gym import error, spaces, utils from gym.utils import seeding from eplus.envs import pyEp import socket from eplus.envs.socket_builder import socket_builder import numpy as np import os class DataCenterEnv(gym.Env): def __init__(self, config): #timestep=12, days=1, eplus_path=None, ...

41.490909

120

0.60528

8,923

0.977542

0

3,918

0.429229

f0ab28142605e757508c738f9eafe63973378e0d

55

py

Python

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

2

2018-11-08T09:20:42.000Z

2021-07-15T18:12:06.000Z

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

null

test1.py

ktbyers/pyneta

1690ce5a6ddb640198ccf3bca26f32a65d772b92

[ "Apache-2.0" ]

null

print("hello") while True: print("Infinite loop")

11

26

0.654545

0

22

0.4

f0ad10d1d55fd2bdc2c491c48aba252ed553fa31

3,568

py

Python

srblib/__init__.py

srbcheema1/srblib

26146cb0d5586548da5f97a9fe3af355cd97f3ca

[ "MIT" ]

2

2019-04-03T00:51:54.000Z

2019-05-16T10:33:44.000Z

srblib/__init__.py

srbcheema1/srblib

26146cb0d5586548da5f97a9fe3af355cd97f3ca

[ "MIT" ]

null

srblib/__init__.py

srbcheema1/srblib

26146cb0d5586548da5f97a9fe3af355cd97f3ca

[ "MIT" ]

null

__version__ = '0.1.6' __mod_name__ = 'srblib' from .colour import Colour # A class with color names and a static print function which prints coloured output to stderr from .debugger import debug # a boolean whose value can be changed in ~/.config/srblib/debug.json from .debugger import on_appveyor # a boolean value ...

60.474576

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0.7912

0

2,189

0.613509

f0ae594509e7de16319dd68dba06754107fabb34

2,880

py

Python

src/msfbe/handlers/CountiesHandler.py

Noella-W/MethaneSourceFinder-BackEndDocker-1

e935a4bbbcdf2f9bf11814a96ebbe1d8b59eed2b

[ "Apache-2.0" ]

null

src/msfbe/handlers/CountiesHandler.py

Noella-W/MethaneSourceFinder-BackEndDocker-1

e935a4bbbcdf2f9bf11814a96ebbe1d8b59eed2b

[ "Apache-2.0" ]

4

2021-06-08T23:39:15.000Z

2022-03-12T00:49:52.000Z

src/msfbe/handlers/CountiesHandler.py

Noella-W/MethaneSourceFinder-BackEndDocker-1

e935a4bbbcdf2f9bf11814a96ebbe1d8b59eed2b

[ "Apache-2.0" ]

1

2021-09-11T05:30:07.000Z

""" Copyright (c) 2018 Jet Propulsion Laboratory, California Institute of Technology. All rights reserved """ import json from msfbe.webmodel import BaseHandler, service_handler import requests import psycopg2 class CountiesColumns: COUNTY_ID = 0 NAME = 1 AREA = 2 PERIMETER = 3 CACOA = 4 CACO...

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0.918056

0

2,368

0.822222

0

624

0.216667

f0aee58dff262da24995b34a28866e048d9466ad

347

py

Python

ai for simple games/connect 4/tictoc.py

gustasvs/AI

23360a8865e8211568594c2b2ced11dcdc9b0006

[ "MIT" ]

1

2022-02-03T18:21:28.000Z

ai for simple games/connect 4/tictoc.py

gustasvs/AI

23360a8865e8211568594c2b2ced11dcdc9b0006

[ "MIT" ]

null

ai for simple games/connect 4/tictoc.py

gustasvs/AI

23360a8865e8211568594c2b2ced11dcdc9b0006

[ "MIT" ]

null

import time def tic(): #Homemade version of matlab tic and toc functions global startTime_for_tictoc startTime_for_tictoc = time.time() def toc(): if 'startTime_for_tictoc' in globals(): print("Elapsed time is " + str(time.time() - startTime_for_tictoc) + " seconds.") else: print...

24.785714

89

0.665706

0

125

0.360231

f0b1d2bc676f5219d5c50eeed54f3ef0c2068b76

243

py

Python

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

mjfwest/OpenMDAO-Framework

a5521f47ad7686c25b203de74e1c7dff5fd7a52b

[ "Apache-2.0" ]

69

2015-01-02T19:10:08.000Z

2021-11-14T04:42:28.000Z

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

3

2015-01-15T23:08:18.000Z

2015-03-11T16:57:35.000Z

contrib/enginedesign/openmdao.examples.enginedesign/openmdao/examples/enginedesign/releaseinfo.py

jcchin/OpenMDAO-Framework

038e89b06da1c74f00918f4c6fbd8bd365e25657

[ "Apache-2.0" ]

31

2015-09-16T00:37:35.000Z

2022-01-10T06:27:55.000Z

# This file is automatically generated __version__ = '0.10.3.2' __comments__ = """too many spaces :/ Merge pull request #1848 from swryan/work""" __date__ = '2014-11-15 09:50:34 -0500' __commit__ = '97c66aaecfad3451bc6a0b1cae1fce4c0595037a'

27

55

0.753086

0

183

0.753086

f0b1f9e76ce0827997c1af6729dbd897a8b9fe82

779

py

Python

Utils/get_skeleton.py

Kohulan/DECIMER-Image-Segmentation

68ee9a9693e5bad5c41826d28e2d6558a20fe21f

[ "MIT" ]

29

2021-01-08T13:48:18.000Z

2022-01-17T08:29:00.000Z

Utils/get_skeleton.py

Kohulan/DECIMER-Image-Segmentation

68ee9a9693e5bad5c41826d28e2d6558a20fe21f

[ "MIT" ]

23

2021-01-07T21:43:21.000Z

2022-03-14T21:52:17.000Z

Utils/get_skeleton.py

Kohulan/DECIMER-Image-Segmentation

68ee9a9693e5bad5c41826d28e2d6558a20fe21f

[ "MIT" ]

8

2021-01-08T05:39:21.000Z

2022-02-14T10:06:38.000Z

''' * This Software is under the MIT License * Refer to LICENSE or https://opensource.org/licenses/MIT for more information * Written by ©Kohulan Rajan 2020 ''' from skimage import img_as_float from skimage import io, color, morphology import matplotlib.pyplot as plt def get_skeleton_and_thin(input_image): image =...

32.458333

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0.770218

0

271

0.347436

f0b23ace85262a4a9788725f73969adf1044950b

1,328

py

Python

Task/CSV-to-HTML-translation/Python/csv-to-html-translation-5.py

mullikine/RosettaCodeData

4f0027c6ce83daa36118ee8b67915a13cd23ab67

[ "Info-ZIP" ]

1

2021-05-05T13:42:20.000Z

Task/CSV-to-HTML-translation/Python/csv-to-html-translation-5.py

seanwallawalla-forks/RosettaCodeData

9ad63ea473a958506c041077f1d810c0c7c8c18d

[ "Info-ZIP" ]

null

Task/CSV-to-HTML-translation/Python/csv-to-html-translation-5.py

seanwallawalla-forks/RosettaCodeData

9ad63ea473a958506c041077f1d810c0c7c8c18d

[ "Info-ZIP" ]

null

from csv import DictReader from xml.etree import ElementTree as ET def csv2html_robust(txt, header=True, attr=None): # Use DictReader because, despite what the docs say, reader() doesn't # return an object with .fieldnames # (DictReader expects an iterable that returns lines, so split on \n) reader = D...

34.947368

73

0.618223

0

471

0.354669

f0b260ad5df3102bf13fd8cb7dbdddf25e662251

2,763

py

Python

src/gausskernel/dbmind/tools/sqldiag/load_sql_from_wdr.py

opengauss-mirror/openGauss-graph

6beb138fd00abdbfddc999919f90371522118008

[ "MulanPSL-1.0" ]

null

src/gausskernel/dbmind/tools/sqldiag/load_sql_from_wdr.py

opengauss-mirror/openGauss-graph

6beb138fd00abdbfddc999919f90371522118008

[ "MulanPSL-1.0" ]

null

src/gausskernel/dbmind/tools/sqldiag/load_sql_from_wdr.py

opengauss-mirror/openGauss-graph

6beb138fd00abdbfddc999919f90371522118008

[ "MulanPSL-1.0" ]

null

import os import re import sys import argparse from preprocessing import templatize_sql from utils import DBAgent, check_time_legality __description__ = "Get sql information based on wdr." def parse_args(): parser = argparse.ArgumentParser(formatter_class=argparse.RawDescriptionHelpFormatter, ...

40.043478

113

0.641694

0

565

0.204488

f0b3c832cf8e1ee83bee7a2645bdcc49172d3621

344

py

Python

program_train/hachina1.py

zhujisheng/HAComponent

29c44a5ea3090d748738830a50e2d25c07e1bac8

[ "Apache-2.0" ]

39

2017-12-17T13:51:13.000Z

2022-02-25T02:57:39.000Z

program_train/hachina1.py

vitc-123/HAComponent

29c44a5ea3090d748738830a50e2d25c07e1bac8

[ "Apache-2.0" ]

5

2019-05-30T07:09:49.000Z

2021-07-15T02:53:49.000Z

program_train/hachina1.py

vitc-123/HAComponent

29c44a5ea3090d748738830a50e2d25c07e1bac8

[ "Apache-2.0" ]

28

2018-01-05T10:48:28.000Z

2021-12-07T13:59:22.000Z

""" 文件名：hachina.py. 演示程序，三行代码创建一个新设备. """ def setup(hass, config): """HomeAssistant在配置文件中发现hachina域的配置后，会自动调用hachina.py文件中的setup函数.""" # 设置实体hachina.Hello_World的状态。 # 注意1：实体并不需要被创建，只要设置了实体的状态，实体就自然存在了 # 注意2：实体的状态可以是任何字符串 hass.states.set("hachina.hello_world", "太棒了！") # 返回True代表...

20.235294

72

0.671512

0

470

0.821678

f0b5d4652c83e4ec1fe94bf488284b069e276dc7

4,263

py

Python

simple_ddl_parser/dialects/hql.py

swiatek25/simple-ddl-parser

b46f99b4e1838718bc4024cd281a66cd1b78b165

[ "MIT" ]

null

simple_ddl_parser/dialects/hql.py

swiatek25/simple-ddl-parser

b46f99b4e1838718bc4024cd281a66cd1b78b165

[ "MIT" ]

null

simple_ddl_parser/dialects/hql.py

swiatek25/simple-ddl-parser

b46f99b4e1838718bc4024cd281a66cd1b78b165

[ "MIT" ]

null

from simple_ddl_parser.utils import check_spec, remove_par class HQL: def p_expression_location(self, p): """expr : expr LOCATION STRING""" p[0] = p[1] p_list = list(p) p[0]["location"] = p_list[-1] def p_row_format(self, p): """row_format : ROW FORMAT SERDE | ...

31.345588

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0.524513

4,201

0.985456

0

1,498

0.351396

f0b7d59823b393f5c64dfa9a82c8f3f19e0a14bc

5,627

py

Python

pydaemon/tx_sms_service_.py

tmkasun/pysmsgate

42c06f1e8e3598697844fd9b098f314a24709777

[ "Apache-2.0" ]

null

pydaemon/tx_sms_service_.py

tmkasun/pysmsgate

42c06f1e8e3598697844fd9b098f314a24709777

[ "Apache-2.0" ]

null

pydaemon/tx_sms_service_.py

tmkasun/pysmsgate

42c06f1e8e3598697844fd9b098f314a24709777

[ "Apache-2.0" ]

null

import json import sys import time from twisted.internet.task import deferLater from twisted.web import http from twisted.web.resource import Resource from twisted.web.server import Site from twisted.internet import reactor from gsmmodem.modem import GsmModem, SentSms from gsmmodem.exceptions import TimeoutException,...

30.917582

103

0.602808

3,839

0.682246

0

1,268

0.225342

f0b7dafc2a4cbe01ebdeb4efbbb1605f26910088

391

py

Python

plugins/vad/snr_vad/test_snr_vad.py

kowo-zahl/Naomi

476cfc42036a1ac88e33451431fc64d5ea1aa49a

[ "MIT" ]

194

2018-07-28T14:54:35.000Z

2022-03-18T12:40:10.000Z

plugins/vad/snr_vad/test_snr_vad.py

HoltTechnologyCorporation/Naomi

16d5f6ba03ea96c3fa13ed4e2c1f082041d9de31

[ "MIT" ]

239

2018-07-13T16:15:25.000Z

2022-03-31T17:55:01.000Z

plugins/vad/snr_vad/test_snr_vad.py

Longshotpro2/Naomi

9330c63fe24606dc45194d297c665f37a4ec10f7

[ "MIT" ]

64

2018-07-26T02:18:33.000Z

2022-01-07T06:53:01.000Z

# -*- coding: utf-8 -*- from naomi import testutils from . import snr_vad class TestSNR_VADPlugin(testutils.Test_VADPlugin): def setUp(self): super(TestSNR_VADPlugin, self).setUp() self.plugin = testutils.get_plugin_instance( snr_vad.SNRPlugin, self._test_input ) ...

24.4375

52

0.641944

314

0.803069

0

62

0.158568

f0b832955eefe7451229c65ceb69048f96000730

13,243

py

Python

dali/test/python/test_operator_rotate.py

L-Net-1992/DALI

982224d8b53e1156ae092f73f5a7d600982a1eb9

[ "ECL-2.0", "Apache-2.0" ]

null

dali/test/python/test_operator_rotate.py

L-Net-1992/DALI

982224d8b53e1156ae092f73f5a7d600982a1eb9

[ "ECL-2.0", "Apache-2.0" ]

null

dali/test/python/test_operator_rotate.py

L-Net-1992/DALI

982224d8b53e1156ae092f73f5a7d600982a1eb9

[ "ECL-2.0", "Apache-2.0" ]

null

# Copyright (c) 2019-2022, NVIDIA CORPORATION & 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 # # Unless ...

37.945559

131

0.671751

3,515

0.265423

3,848

0.290569

0

1,145

0.086461

f0b8a938a5d0cde1b5aa321a0fcf6ce1d6ace0f2

524

py

Python

graph/templatetags/helpers.py

Soaring-Outliers/news_graph

ae7cde461e49b6ee8fe932fcf6c581f3a5574da4

[ "MIT" ]

1

2015-04-19T08:26:34.000Z

graph/templatetags/helpers.py

Soaring-Outliers/news_graph

ae7cde461e49b6ee8fe932fcf6c581f3a5574da4

[ "MIT" ]

5

2015-04-28T07:31:22.000Z

2015-05-11T12:47:57.000Z

graph/templatetags/helpers.py

Soaring-Outliers/news_graph

ae7cde461e49b6ee8fe932fcf6c581f3a5574da4

[ "MIT" ]

null

from django import template import bleach # import the logging library import logging # Get an instance of a logger logger = logging.getLogger(__name__) register = template.Library() @register.filter def sanitize(text): ALLOWED_TAGS = ['p', 'span', 'h5', 'h6'] ALLOWED_ATTRIBUTES = [] ALLOWED_STYLES ...

23.818182

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0.725191

0

331

0.631679

0

74

0.141221