xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

0587d07321592ddb102cc4ed98640454fd0d67f7

4,589

py

Python

RockPaperScissors.py

andreimaftei28/projects-on-JetBrainAcademy

8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1

[ "MIT" ]

null

RockPaperScissors.py

andreimaftei28/projects-on-JetBrainAcademy

8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1

[ "MIT" ]

null

RockPaperScissors.py

andreimaftei28/projects-on-JetBrainAcademy

8c2b8ab7bab5757db94e9f0b6d55c33852f64ee1

[ "MIT" ]

3

2020-12-19T13:48:06.000Z

2021-08-12T18:36:33.000Z

"""Rock Paper Scisssors game using OOP""" import random from tempfile import mkstemp from shutil import move, copymode from os import fdopen, remove class RockPaperScissors: """initializing the 'global' atributtes""" def __init__(self): self.defeat = {"scissors": "rock", "paper" : "scissors"...

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py

Python

src/cbc_binary_toolkit/schemas.py

carbonblack/cbc-binary-toolkit

92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4

[ "MIT" ]

8

2020-05-12T18:08:52.000Z

2021-12-27T06:11:00.000Z

src/cbc_binary_toolkit/schemas.py

carbonblack/cbc-binary-toolkit

92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4

[ "MIT" ]

4

2020-05-13T16:07:49.000Z

2020-06-30T18:47:14.000Z

src/cbc_binary_toolkit/schemas.py

carbonblack/cbc-binary-toolkit

92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4

[ "MIT" ]

3

2020-05-16T19:57:57.000Z

2020-11-01T08:43:31.000Z

# -*- coding: utf-8 -*- # ******************************************************* # Copyright (c) VMware, Inc. 2020-2021. All Rights Reserved. # SPDX-License-Identifier: MIT # ******************************************************* # * # * DISCLAIMER. THIS PROGRAM IS PROVIDED TO YOU "AS IS" WITHOUT # * WARRANTIES OR C...

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py

Python

src/views/list.py

AllForJan/prizma-backend

fe866e74fa01e900cc7eab624bb5716a4bae056d

[ "MIT" ]

2

2018-04-08T22:18:11.000Z

2018-04-26T08:12:46.000Z

src/views/list.py

AllForJan/prizma-backend

fe866e74fa01e900cc7eab624bb5716a4bae056d

[ "MIT" ]

null

src/views/list.py

AllForJan/prizma-backend

fe866e74fa01e900cc7eab624bb5716a4bae056d

[ "MIT" ]

2

2018-04-08T22:18:13.000Z

2018-04-08T22:18:18.000Z

from elasticsearch import Elasticsearch from flask import request, jsonify from flask_restful import Resource from db.manager import get_conn import settings conn = get_conn() def append_range_filter(f, key, _from, to): d = {} if _from or to: d['range'] = {} d['range'][key] = {} if _fro...

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058f090a9e7707433a3105b87e3e591439fed2ac

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py

Python

code/train/train_model.py

96jhwei/Genetic-U-Net

25116f01afcf8ed4386cd0fc258da15e1c982cb5

[ "MIT" ]

14

2021-09-09T11:22:17.000Z

2022-03-14T10:06:36.000Z

code/train/train_model.py

96jhwei/Genetic-U-Net

25116f01afcf8ed4386cd0fc258da15e1c982cb5

[ "MIT" ]

1

2021-11-24T10:30:36.000Z

code/train/train_model.py

96jhwei/Genetic-U-Net

25116f01afcf8ed4386cd0fc258da15e1c982cb5

[ "MIT" ]

5

2021-11-02T09:29:49.000Z

2022-03-25T09:44:25.000Z

import numpy from torch.utils.data import DataLoader from tqdm import tqdm from loss.FocalLoss import FocalLossForSigmoid import torch from metrics.calculate_metrics import calculate_metrics import shutil from metrics.average_meter import AverageMeter import torch.multiprocessing from torch.nn.utils.clip_gra...

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059016200f557d7398f34c3a96008e7fee9686c3

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py

Python

dataset/check_for_duplicates.py

mathildor/TF-SegNet

dff209c8174b5e8fa77b4c2644298f6903a09445

[ "MIT" ]

98

2017-11-06T15:55:22.000Z

2022-03-22T11:29:47.000Z

dataset/check_for_duplicates.py

yingz9/TF-SegNet

dff209c8174b5e8fa77b4c2644298f6903a09445

[ "MIT" ]

8

2017-11-15T06:05:41.000Z

2019-06-19T06:53:03.000Z

dataset/check_for_duplicates.py

yingz9/TF-SegNet

dff209c8174b5e8fa77b4c2644298f6903a09445

[ "MIT" ]

34

2017-11-06T03:05:54.000Z

2022-01-25T16:00:09.000Z

import os from PIL import Image import numpy from PIL import ImageChops """ TESTED: No duplicates in: - within validation images first part (stopped because of training - took to much time) """ image_path="../../IR_images/combined_dataset/val_images/images" # image_path="../../IR_images/combined_data...

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059038232d1c85e48c2eed487377d93d1ad944f4

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py

Python

_posts/import.py

suepeng/suepeng.github.io

844e0063e0604a77886aad5eaea588c4df2792a9

[ "MIT" ]

null

_posts/import.py

suepeng/suepeng.github.io

844e0063e0604a77886aad5eaea588c4df2792a9

[ "MIT" ]

null

_posts/import.py

suepeng/suepeng.github.io

844e0063e0604a77886aad5eaea588c4df2792a9

[ "MIT" ]

null

import os, glob from dateutil import parser from bs4 import BeautifulSoup ext = lambda line, cap: line.replace("\s", "").replace(cap, "").strip() def write_post(doc): meta = { 'title' : ext(doc[0], "TITLE:"), 'date' : parser.parse(ext(doc[2], "DATE:")).strftime("%Y-%m-%d"), 'tag' : ext...

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059744913f1e643dc9fe5a6332d2aff7847d00ed

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py

Python

Project/checking_test2.py

mihdenis85/psycho_test

51bbe82043427d48e80ff36197815212c5c2a14c

[ "MIT" ]

null

Project/checking_test2.py

mihdenis85/psycho_test

51bbe82043427d48e80ff36197815212c5c2a14c

[ "MIT" ]

null

Project/checking_test2.py

mihdenis85/psycho_test

51bbe82043427d48e80ff36197815212c5c2a14c

[ "MIT" ]

null

def specialization(a, spec, jobs): if a>=0 and a<=2: return(spec + ': интерес к данной профессиональной сфере не выражен') elif a>=3 and a<=6: return(spec + ': профессиональная направленность и интерес выражены в средней степени. ' + 'Возможно вам будут интересны такие профессии будущего, как ' + j...

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null

0

null

0

1

0

05975def902880bc29f1fd9e4b623039913f810f

4,003

py

Python

src/upload/upload.py

alliance-genome/agr_ferret

e2ccef16308b1a8a6f1b2a3dde6e29e0530da721

[ "MIT" ]

2

2020-07-22T14:25:00.000Z

2021-09-20T18:29:08.000Z

src/upload/upload.py

alliance-genome/agr_ferret

e2ccef16308b1a8a6f1b2a3dde6e29e0530da721

[ "MIT" ]

6

2019-09-24T14:09:42.000Z

2021-06-07T15:27:55.000Z

src/upload/upload.py

alliance-genome/agr_ferret

e2ccef16308b1a8a6f1b2a3dde6e29e0530da721

[ "MIT" ]

3

2020-12-19T08:57:51.000Z

2020-12-19T08:58:09.000Z

# Functions for use in downloading files. import logging, os, requests, json, hashlib, urllib from requests_toolbelt.utils import dump from retry import retry logger = logging.getLogger(__name__) def create_md5(worker, filename, save_path): # Generate md5 logger.info('{}: Generating md5 hash for {}.'.format...

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null

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0

05995048419b1dbd1bd29b14c238cf37023f8b47

2,740

py

Python

lib/strider/virt/vagrantbox.py

jcftang/strider

432a68eb1303541b6d955bd6ecf7439d1f9b0d48

[ "Apache-2.0" ]

16

2016-02-10T13:06:50.000Z

2021-02-28T06:21:16.000Z

lib/strider/virt/vagrantbox.py

jcftang/strider

432a68eb1303541b6d955bd6ecf7439d1f9b0d48

[ "Apache-2.0" ]

4

2016-02-20T16:33:40.000Z

2016-05-28T10:46:06.000Z

lib/strider/virt/vagrantbox.py

jcftang/strider

432a68eb1303541b6d955bd6ecf7439d1f9b0d48

[ "Apache-2.0" ]

1

2016-09-01T11:06:56.000Z

import vagrant import os from subprocess import CalledProcessError from strider.common.instance_data import InstanceData, SshData import strider.common.logger class Vagrantbox(object): def __init__(self, name=None, ssh=None, basebox=None, bake_na...

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552672dd092eb5fb84094dd67c6ad2cf6eb3df04

4,739

py

Python

python/aces/lutFormats/tests/UnitTestsLutFormats.py

aforsythe/clf

47ba8bee31bd13e4f23632c7b0a38293be31c019

[ "AMPAS" ]

43

2015-07-09T23:13:41.000Z

2022-02-04T15:45:42.000Z

python/aces/lutFormats/tests/UnitTestsLutFormats.py

aforsythe/clf

47ba8bee31bd13e4f23632c7b0a38293be31c019

[ "AMPAS" ]

1

2019-09-18T14:30:39.000Z

python/aces/lutFormats/tests/UnitTestsLutFormats.py

aforsythe/clf

47ba8bee31bd13e4f23632c7b0a38293be31c019

[ "AMPAS" ]

9

2015-07-10T15:26:55.000Z

2020-08-20T11:52:47.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ The Academy / ASC Common LUT Format Sample Implementations are provided by the Academy under the following terms and conditions: Copyright © 2015 Academy of Motion Picture Arts and Sciences ("A.M.P.A.S."). Portions contributed by others as indicated. All rights reserv...

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552683d69b93369ce9f2b67f499349c272254782

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py

Python

edexOsgi/com.raytheon.edex.plugin.gfe/utility/common_static/base/gfe/textproducts/templates/product/Hazard_CFW_MultiPil.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

null

edexOsgi/com.raytheon.edex.plugin.gfe/utility/common_static/base/gfe/textproducts/templates/product/Hazard_CFW_MultiPil.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

null

edexOsgi/com.raytheon.edex.plugin.gfe/utility/common_static/base/gfe/textproducts/templates/product/Hazard_CFW_MultiPil.py

srcarter3/awips2

37f31f5e88516b9fd576eaa49d43bfb762e1d174

[ "Apache-2.0" ]

1

2021-10-30T00:03:05.000Z

## # This software was developed and / or modified by Raytheon Company, # pursuant to Contract DG133W-05-CQ-1067 with the US Government. # # U.S. EXPORT CONTROLLED TECHNICAL DATA # This software product contains export-restricted data whose # export/transfer/disclosure is restricted by U.S. law. Dissemination # to non...

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552924a7e504599cbe9d1cfc08f6a123e6773a8c

880

py

Python

setup.py

hubmapconsortium/python-sdk

17eaec434f1f65190a6e53d0055fe382841222de

[ "MIT" ]

null

setup.py

hubmapconsortium/python-sdk

17eaec434f1f65190a6e53d0055fe382841222de

[ "MIT" ]

8

2021-11-09T13:35:48.000Z

2022-03-04T15:56:52.000Z

setup.py

hubmapconsortium/python-sdk

17eaec434f1f65190a6e53d0055fe382841222de

[ "MIT" ]

null

from setuptools import setup, find_packages with open("README.md", "r") as fh: long_description = fh.read() setup( name="hubmap-sdk", version="1.0.1", author="Hubmap", author_email="api-developers@hubmapconsortium.org", description="Python Client Libary to use HuBMAP web services", long_de...

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null

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null

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1

0

5529c5dbc7514236bc8611211cfb848e2618a841

2,615

py

Python

bayarea_urbansim/data_regeneration/export_to_h5.py

ual/DOE-repo-deliverable

4bafdd9a702a9a6466dd32ae62f440644d735d3c

[ "BSD-3-Clause" ]

null

bayarea_urbansim/data_regeneration/export_to_h5.py

ual/DOE-repo-deliverable

4bafdd9a702a9a6466dd32ae62f440644d735d3c

[ "BSD-3-Clause" ]

null

bayarea_urbansim/data_regeneration/export_to_h5.py

ual/DOE-repo-deliverable

4bafdd9a702a9a6466dd32ae62f440644d735d3c

[ "BSD-3-Clause" ]

null

import pandas as pd from spandex import TableLoader import pandas.io.sql as sql loader = TableLoader() def db_to_df(query): """Executes SQL query and returns DataFrame.""" conn = loader.database._connection return sql.read_frame(query, conn) ## Export to HDF5- get path to output file h5_path = loader.ge...

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552b355ab9a4608d3f4dc4d7df2c3b24e79e210d

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py

Python

minder_utils/visualisation/feature_engineering.py

alexcapstick/minder_utils

3bb9380b7796b5dd5b995ce1839ea6a94321021d

[ "MIT" ]

null

minder_utils/visualisation/feature_engineering.py

alexcapstick/minder_utils

3bb9380b7796b5dd5b995ce1839ea6a94321021d

[ "MIT" ]

null

minder_utils/visualisation/feature_engineering.py

alexcapstick/minder_utils

3bb9380b7796b5dd5b995ce1839ea6a94321021d

[ "MIT" ]

1

2022-03-16T11:10:43.000Z

import matplotlib.pyplot as plt import matplotlib.dates as mdates import seaborn as sns import pandas as pd from minder_utils.formatting.label import label_by_week, label_dataframe from minder_utils.feature_engineering import Feature_engineer from minder_utils.feature_engineering.calculation import * from minder_utils....

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552c410668701cd1585658195d593e1b5751e350

442

py

Python

code-everyday-challenge/n159_cyclically_rotate.py

ved93/deliberate-practice-challenges

2fccdbb9d2baaa16f888055c081a8d04804c0045

[ "MIT" ]

null

code-everyday-challenge/n159_cyclically_rotate.py

ved93/deliberate-practice-challenges

2fccdbb9d2baaa16f888055c081a8d04804c0045

[ "MIT" ]

null

code-everyday-challenge/n159_cyclically_rotate.py

ved93/deliberate-practice-challenges

2fccdbb9d2baaa16f888055c081a8d04804c0045

[ "MIT" ]

null

# https://practice.geeksforgeeks.org/problems/cyclically-rotate-an-array-by-one2614/1 # Given an array, rotate the array by one position in clock-wise direction. # Input: # N = 5 # A[] = {1, 2, 3, 4, 5} # Output: # 5 1 2 3 4 def rotate_cycle(a): n = len(a) tmp = a[-1] for i in range(1,n): a[-i] ...

17.68

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0.567873

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442

3.050633

0.518987

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0.037344

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25

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0.2

0.1

0

null

0

null

0

1

0

552d7c8af23d30920337cc95fa4d7065705c0c5f

10,800

py

Python

adamw_optimizer.py

pwldj/Bio_XLNet_CRF

536053e9d74abdb2ee56000a8a779ffc1c0dd0fc

[ "Apache-2.0" ]

null

adamw_optimizer.py

pwldj/Bio_XLNet_CRF

536053e9d74abdb2ee56000a8a779ffc1c0dd0fc

[ "Apache-2.0" ]

2

2022-03-07T07:27:13.000Z

2022-03-07T07:27:15.000Z

adamw_optimizer.py

pwldj/MTL-BioNER

3fb336f517346daeec6a716fa6a657a421754bdb

[ "Apache-2.0" ]

1

2021-05-05T08:42:53.000Z

# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

44.444444

85

0.64463

1,542

10,800

4.148508

0.141375

0.055026

0.034391

0.05315

0.518212

0.434579

0.404877

0.39159

0.372049

0

0.017616

0.253611

10,800

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86

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0.775958

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0

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false

0

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0.005747

0

null

0

null

0

1

0

552fdd4ea7856ad8f238ffba4056d7b666e1d19e

1,559

py

Python

backend/breach/helpers/injector.py

Cancelll/rupture

cd87481717b39de2654659b7ff436500e28a0600

[ "MIT" ]

184

2016-03-31T04:19:42.000Z

2021-11-26T21:37:12.000Z

backend/breach/helpers/injector.py

Cancelll/rupture

cd87481717b39de2654659b7ff436500e28a0600

[ "MIT" ]

212

2016-03-31T04:32:06.000Z

2017-02-26T09:34:47.000Z

backend/breach/helpers/injector.py

Cancelll/rupture

cd87481717b39de2654659b7ff436500e28a0600

[ "MIT" ]

38

2016-03-31T09:09:44.000Z

2021-11-26T21:37:13.000Z

from backend.settings import BASE_DIR import os import subprocess import stat rupture_dir = os.path.abspath(os.path.join(BASE_DIR, os.pardir)) client_dir = os.path.join(rupture_dir, 'client') def inject(victim): _create_client(victim) _create_injection(victim) _run_injection(victim) def _create_clien...

25.557377

84

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201

1,559

4.830846

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0.049434

0.072091

0.065911

0.313079

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0.140062

0.088568

0

0.000837

0.233483

1,559

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85

25.983333

0.811715

0

0.25

0

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false

0

0.090909

0

0.204545

0

null

0

null

0

1

0

5530fb74fc5655f0d169fed9774ccb03f4699d79

952

py

Python

wagtail_client/utils.py

girleffect/core-integration-demo

c37a0d5183d16bec6245a41e12dd90691ffa7138

[ "BSD-3-Clause" ]

null

wagtail_client/utils.py

girleffect/core-integration-demo

c37a0d5183d16bec6245a41e12dd90691ffa7138

[ "BSD-3-Clause" ]

19

2018-02-06T08:56:24.000Z

2018-09-11T08:05:24.000Z

wagtail_client/utils.py

girleffect/core-integration-demo

c37a0d5183d16bec6245a41e12dd90691ffa7138

[ "BSD-3-Clause" ]

2

2018-05-25T09:44:03.000Z

2021-08-18T12:07:47.000Z

from urllib.parse import urlencode from django.conf import settings from django.contrib.sites.shortcuts import get_current_site def provider_logout_url(request): """ This function is used to construct a logout URL that can be used to log the user out of the Identity Provider (Authentication Service). ...

34

91

0.722689

133

952

4.984962

0.541353

0.042232

0

0.20063

952

27

92

35.259259

0.871222

0.277311

0

0.174507

0.036419

0

1

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false

0

0.214286

0

0.357143

0

null

0

null

0

1

0

553261313f73826b4fd76c66eae4be0cde9803af

978

py

Python

connectToProteusFromMongo.py

erentts/Ignite-Greenhouse

328730399328936332b5c6f3f8dcd18bf56369b9

[ "MIT" ]

4

2021-02-22T21:19:28.000Z

2021-05-03T14:19:18.000Z

connectToProteusFromMongo.py

erentts/Ignite-Greenhouse

328730399328936332b5c6f3f8dcd18bf56369b9

[ "MIT" ]

null

connectToProteusFromMongo.py

erentts/Ignite-Greenhouse

328730399328936332b5c6f3f8dcd18bf56369b9

[ "MIT" ]

null

import pymongo import dns import serial from pymongo import MongoClient import struct cluster = MongoClient("") serialPort = serial.Serial(port= "COM1", baudrate=9600 ,bytesize =8 , timeout =None, parity='N',stopbits=1) db=cluster["<greenHouse>"] collection = db["greenhouses"] while serialPort.readline(): resul...

31.548387

145

0.702454

105

978

6.47619

0.561905

0.079412

0.083824

0.097059

0.120588

0

0.012225

0.163599

978

30

146

32.6

0.819071

0.07771

0

0.164994

0

1

0

false

0

0.263158

0

0.263158

0

null

0

null

0

1

0

5539d275ebd36d43b5d44642306d4d9d488a83a3

961

py

Python

s3_file_uploads/serializers.py

dabapps/django-s3-file-uploads

17ed6b4e02bd43bc925af987ff5bf971a82da434

[ "BSD-3-Clause" ]

5

2019-05-27T03:51:30.000Z

2021-03-19T11:24:09.000Z

s3_file_uploads/serializers.py

dabapps/django-s3-file-uploads

17ed6b4e02bd43bc925af987ff5bf971a82da434

[ "BSD-3-Clause" ]

7

2019-12-04T22:38:13.000Z

2021-06-10T17:50:06.000Z

s3_file_uploads/serializers.py

dabapps/django-s3-file-uploads

17ed6b4e02bd43bc925af987ff5bf971a82da434

[ "BSD-3-Clause" ]

null

from rest_framework import serializers from s3_file_uploads.constants import ACCESS_CONTROL_TYPES, PRIVATE from s3_file_uploads.models import UploadedFile class UploadedFileSerializer(serializers.ModelSerializer): file_name = serializers.CharField(source='file.name', read_only=True) file = serializers.URLFie...

27.457143

80

0.597294

88

961

6.272727

0.511364

0.057971

0.036232

0.061594

0

0.003017

0.310094

961

34

81

28.264706

0.829563

0

0.275862

0

0.131113

0

1

0

false

0

0.103448

0

0.310345

0

null

0

null

0

1

0

553a35ee3c9965503e444537543d6f056c2747c7

1,873

py

Python

vbts_webadmin/views/subscribers.py

pcarivbts/vbts-webadmin

0616eca6492daa3ebc26b442e8dbebda7ac06d51

[ "BSD-3-Clause" ]

null

vbts_webadmin/views/subscribers.py

pcarivbts/vbts-webadmin

0616eca6492daa3ebc26b442e8dbebda7ac06d51

[ "BSD-3-Clause" ]

3

2020-06-05T18:34:16.000Z

2021-06-10T20:31:18.000Z

vbts_webadmin/views/subscribers.py

pcarivbts/vbts-webadmin

0616eca6492daa3ebc26b442e8dbebda7ac06d51

[ "BSD-3-Clause" ]

2

2018-07-04T00:54:50.000Z

2022-01-28T16:52:10.000Z

""" Copyright (c) 2015-present, Philippine-California Advanced Research Institutes- The Village Base Station Project (PCARI-VBTS). All rights reserved. This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree. """ from django.contrib import messages ...

33.446429

79

0.705286

224

1,873

5.808036

0.441964

0.061491

0.032283

0.053036

0.066872

0

0.005384

0.20662

1,873

55

80

34.054545

0.870121

0.146289

0

0.051282

0

0.070396

0.013199

0

1

0.025641

false

0

0.25641

0

0.307692

0

null

0

null

0

1

0

553e5975ce3bca9dd2037d832b61d89b76e372a6

16,307

py

Python

examples/vq_rnn_fruit_joint/vq_fruit_joint.py

kastnerkyle/tfbldr

58ad1437d500924acd15d1c6eec4a864f57e9c7c

[ "BSD-3-Clause" ]

4

2018-05-15T22:35:00.000Z

2019-02-22T01:40:49.000Z

examples/vq_rnn_fruit_joint/vq_fruit_joint.py

kastnerkyle/tfbldr

58ad1437d500924acd15d1c6eec4a864f57e9c7c

[ "BSD-3-Clause" ]

null

examples/vq_rnn_fruit_joint/vq_fruit_joint.py

kastnerkyle/tfbldr

58ad1437d500924acd15d1c6eec4a864f57e9c7c

[ "BSD-3-Clause" ]

2

2018-06-09T15:08:44.000Z

2018-11-20T10:13:48.000Z

from tfbldr.nodes import Conv2d from tfbldr.nodes import ConvTranspose2d from tfbldr.nodes import VqEmbedding from tfbldr.nodes import BatchNorm2d from tfbldr.nodes import Linear from tfbldr.nodes import ReLU from tfbldr.nodes import Sigmoid from tfbldr.nodes import Tanh from tfbldr.nodes import OneHot from tfbldr.node...

38.189696

124

0.592506

2,493

16,307

3.560369

0.124749

0.048333

0.030644

0.039658

0.458427

0.403673

0.350721

0.319739

0.30836

0.268927

0

0.044752

0.286073

16,307

426

125

38.279343

0.71766

0.050714

0

0.229651

0

0.03218

0

0.005814

1

0.023256

false

0

0.078488

0

0.125

0

null

0

null

0

1

0

553eb4733f79df133de3656ed4a77eb050d859d2

311

py

Python

scripts/poorscrum/poorscrum_tools.py

r09491/poorscrum

cdbbc0db03fde842f546093f46e70d03a105bbbd

[ "MIT" ]

null

scripts/poorscrum/poorscrum_tools.py

r09491/poorscrum

cdbbc0db03fde842f546093f46e70d03a105bbbd

[ "MIT" ]

7

2021-03-18T22:37:46.000Z

2022-03-11T23:41:39.000Z

scripts/poorscrum/poorscrum_tools.py

r09491/poorscrum

cdbbc0db03fde842f546093f46e70d03a105bbbd

[ "MIT" ]

null

# -*- coding: utf-8 -*- def fibonacci(n): if n == 0: return 0 elif n == 1: return 1 else: return fibonacci(n-1) + fibonacci(n-2) def story_points(start): for i in range(10): result = fibonacci(i) if result >= start: break return result

17.277778

46

0.508039

42

311

3.738095

0.547619

0.191083

0

0.045918

0.369775

311

17

47

18.294118

0.755102

0.067524

0

1

0.153846

false

0

0.461538

0

null

0

null

0

1

0

554005d26d7a3413df01a385a87bf09337208562

6,162

py

Python

cata/teachers/ensembles/both_rotation_ensemble.py

seblee97/student_teacher_catastrophic

9baaaf2850025ba9cf33d61c42386bc4c3b2dad2

[ "MIT" ]

2

2021-09-13T01:44:09.000Z

2021-12-11T11:56:49.000Z

cata/teachers/ensembles/both_rotation_ensemble.py

seblee97/student_teacher_catastrophic

9baaaf2850025ba9cf33d61c42386bc4c3b2dad2

[ "MIT" ]

8

2020-11-13T18:37:30.000Z

2022-02-15T15:11:51.000Z

cata/teachers/ensembles/both_rotation_ensemble.py

seblee97/student_teacher_catastrophic

9baaaf2850025ba9cf33d61c42386bc4c3b2dad2

[ "MIT" ]

null

from typing import List from typing import Union import numpy as np import torch from cata.teachers.ensembles import base_teacher_ensemble from cata.utils import custom_functions class BothRotationTeacherEnsemble(base_teacher_ensemble.BaseTeacherEnsemble): """Teacher ensemble (primarily for mean-field limit regi...

35.413793

89

0.636806

676

6,162

5.492604

0.213018

0.038783

0.026932

0.022623

0.244008

0.157824

0.123081

0.110154

0.083221

0.060329

0

0.011935

0.292924

6,162

173

90

35.618497

0.840257

0.140214

0

0.075

0

0.037286

0

0.025

1

0.05

false

0

0.05

0

0.15

0

null

0

null

0

1

0

5542014f27e11156c75907e597b9852418147144

7,176

py

Python

scripts/admin/admin.py

starmarek/organize-me

710e7acd86e887b7e4379fde18e1f375846ea59e

[ "MIT" ]

null

scripts/admin/admin.py

starmarek/organize-me

710e7acd86e887b7e4379fde18e1f375846ea59e

[ "MIT" ]

null

scripts/admin/admin.py

starmarek/organize-me

710e7acd86e887b7e4379fde18e1f375846ea59e

[ "MIT" ]

null

import json import logging import os import shlex import subprocess from pathlib import Path from types import SimpleNamespace import coloredlogs import fire from .adminFiles import ( DockerComposeFile, DotenvFile, GitlabCIFile, JsonFile, PackageJsonFile, Pipfile, RuntimeTxtFile, YarnR...

32.324324

148

0.67879

904

7,176

5.130531

0.202434

0.030185

0.042691

0.034498

0.355326

0.318025

0.256361

0.186934

0.184994

0.154593

0

0.000175

0.20262

7,176

221

149

32.470588

0.810381

0

0.170732

0

0.006098

0.213907

0.01937

0

0.02439

1

0.121951

false

0.006098

0.060976

0

0.189024

0

null

0

null

0

1

0

5543d0392b1a991c4c0bc9b77494d93272ec2802

743

py

Python

tests/components/pages/ts.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

15

2019-12-19T11:57:30.000Z

2021-11-15T23:34:41.000Z

tests/components/pages/ts.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

196

2019-09-21T15:10:14.000Z

2022-03-31T11:07:48.000Z

tests/components/pages/ts.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

7

2019-10-30T19:38:15.000Z

2021-12-01T04:54:16.000Z

from dazzler.system import Page from dazzler.components import core from tests.components import ts_components as tsc page = Page( __name__, core.Container([ tsc.TypedComponent( 'override', children=core.Container('foobar'), num=2, text='foobar', ...

27.518519

64

0.51144

78

743

4.74359

0.628205

0.059459

0

0.026639

0.343203

743

26

65

28.576923

0.731557

0

0.142665

0

1

0

false

0

0.12

0

0.12

0

null

0

null

0

1

0

55454283c60ef0107317118c446ed4395d8f58a5

4,464

py

Python

src/gistsgetter/app.py

pmfrank/gistsgetter

a19f59604ebf1cb13c641d25c4461b4347bba58a

[ "MIT" ]

null

src/gistsgetter/app.py

pmfrank/gistsgetter

a19f59604ebf1cb13c641d25c4461b4347bba58a

[ "MIT" ]

null

src/gistsgetter/app.py

pmfrank/gistsgetter

a19f59604ebf1cb13c641d25c4461b4347bba58a

[ "MIT" ]

null

""" An application dedicated to creating, editing, and deleting Gists in GitHub """ from __future__ import absolute_import import toga import pyperclip from toga.style import Pack from toga.style.pack import COLUMN, ROW from .common.Search import search from functools import partial class GistsGetter(toga.App): d...

38.817391

132

0.622536

573

4,464

4.720768

0.242583

0.053235

0.065065

0.056562

0.24695

0.190018

0.126063

0.088355

0.073937

0

0.010632

0.262545

4,464

114

133

39.157895

0.811057

0.111783

0

0.097561

0

0.054504

0

1

0.060976

false

0.02439

0.085366

0.012195

0.207317

0.02439

0

null

0

null

0

1

0

5549b2fc2c6d6a256c772a1fa6b1cb0ba16583fe

7,401

py

Python

src/qcar/src/qcar/q_essential.py

bchampp/scylla

6ec27877cc03c200a874cd0eb25a36c866471250

[ "MIT" ]

null

src/qcar/src/qcar/q_essential.py

bchampp/scylla

6ec27877cc03c200a874cd0eb25a36c866471250

[ "MIT" ]

null

src/qcar/src/qcar/q_essential.py

bchampp/scylla

6ec27877cc03c200a874cd0eb25a36c866471250

[ "MIT" ]

null

from quanser.hardware import HIL, HILError, PWMMode from quanser.multimedia import Video3D, VideoCapture, Video3DStreamType, MediaError, ImageFormat, ImageDataType from quanser.devices import RPLIDAR, RangingMeasurements, RangingMeasurementMode, DeviceError, RangingDistance from .q_misc import Utilities import numpy as...

37.190955

211

0.740576

1,026

7,401

5.154971

0.190058

0.032142

0.031197

0.030251

0.587068

0.551333

0.485536

0.463036

0.426168

0.418227

0

0.01822

0.154574

7,401

199

212

37.190955

0.827074

0.284961

0

0.616541

0

0.007519

0.03

0.0175

0

1

0.082707

false

0.037594

0.052632

0

0.172932

0.090226

0

null

0

null

0

1

0

554a7b61e03b3173856a7a579bde9d2c36a7f575

1,689

py

Python

ex071.py

cristianoandrad/ExerciciosPythonCursoEmVideo

362603436b71c8ef8386d7a9ab3c5fed0b8d63f7

[ "MIT" ]

null

ex071.py

cristianoandrad/ExerciciosPythonCursoEmVideo

362603436b71c8ef8386d7a9ab3c5fed0b8d63f7

[ "MIT" ]

null

ex071.py

cristianoandrad/ExerciciosPythonCursoEmVideo

362603436b71c8ef8386d7a9ab3c5fed0b8d63f7

[ "MIT" ]

null

'''Crie um programa que simule o funcionamento de um caixa eletrônico. No início, pergunte ao usuário qual será o valor a ser sacado (número inteiro) e o programa vai informar quantas cédulas de cada valor serão entregues. OBS: considere que o caixa possui cédulas de R$50, R$20, R$10 e R$1.''' '''print('--' * 15) pri...

27.241935

227

0.587922

282

1,689

3.521277

0.297872

0.054381

0.04431

0.052367

0.2286

0.151057

0

0.119462

0.251628

1,689

61

228

27.688525

0.666139

0.170515

0

0.181818

0

0.190196

0

1

0

false

0

0.181818

0

null

0

null

0

1

0

554c5ff1d984eee7cf69842945a06a7b43f122ff

919

py

Python

common.py

hoostus/prime-harvesting

6606b94ea7859fbf217dbea4ace856e3fa4d154e

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

23

2016-09-07T06:13:37.000Z

2022-02-17T23:49:03.000Z

common.py

hoostus/prime-harvesting

6606b94ea7859fbf217dbea4ace856e3fa4d154e

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

null

common.py

hoostus/prime-harvesting

6606b94ea7859fbf217dbea4ace856e3fa4d154e

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

12

2016-06-30T17:27:39.000Z

2021-12-12T07:54:27.000Z

import itertools import math import simulate import harvesting import plot from decimal import setcontext, ExtendedContext # Don't raise exception when we divide by zero #setcontext(ExtendedContext) #getcontext().prec = 5 def compare_prime_vs_rebalancing(series, years=30, title=''): (r1, r2) = itertools.tee(serie...

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0.677911

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919

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0

null

0

null

0

1

0

554ef62e12daf1b4dd0a910c08086098d9a39602

769

py

Python

tests/hdx/scraper/test_utils.py

mcarans/hdx-python-scraper

ce17c672591979d4601bd125a38b86ea81a9f3c4

[ "MIT" ]

null

tests/hdx/scraper/test_utils.py

mcarans/hdx-python-scraper

ce17c672591979d4601bd125a38b86ea81a9f3c4

[ "MIT" ]

null

tests/hdx/scraper/test_utils.py

mcarans/hdx-python-scraper

ce17c672591979d4601bd125a38b86ea81a9f3c4

[ "MIT" ]

null

from datetime import datetime from hdx.data.dataset import Dataset from hdx.scraper.utilities import ( get_isodate_from_dataset_date, string_params_to_dict, ) class TestUtils: def test_string_params_to_dict(self): result = string_params_to_dict("a: 123, b: 345") assert result == {"a": "1...

29.576923

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4.436893

0.339806

0.09628

0.122538

0.157549

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0.227571

0

0.113597

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769

25

87

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0.672978

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0

0.3

0

null

0

null

0

1

0

554fb560fa2735d2073c8f53fb708577f43575e0

3,796

py

Python

store/models.py

Dokeey/Buy-Sell

9d70eb8649d79962657cc4be896e437908de537b

[ "MIT" ]

7

2019-03-25T14:43:41.000Z

2021-09-16T01:44:41.000Z

store/models.py

Dokeey/Buy-Sell

9d70eb8649d79962657cc4be896e437908de537b

[ "MIT" ]

80

2019-03-25T09:25:00.000Z

2020-02-09T01:01:09.000Z

store/models.py

Dokeey/Buy-Sell

9d70eb8649d79962657cc4be896e437908de537b

[ "MIT" ]

4

2019-03-25T13:58:07.000Z

2021-11-26T09:12:32.000Z

from random import randrange from django.conf import settings from django.contrib.contenttypes.fields import GenericRelation from django.db import models from hitcount.models import HitCountMixin, HitCount from imagekit.models import ProcessedImageField from pilkit.processors import ResizeToFill from django_cleanup im...

36.5

133

0.692308

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3,796

5.420043

0.30064

0.11251

0.049567

0.425256

0.391424

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0

0.00944

0.190727

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104

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0

0.067989

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false

0

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0.5

0

null

0

null

0

1

0

5555b6c3e07de5a90e04d4e0ebe99f3c40e0594c

1,587

py

Python

experts/siamdw.py

songheony/AAA-journal

4306fac0afe567269b8d2f1cbef2a1c398fdde82

[ "MIT" ]

9

2020-07-07T09:03:07.000Z

2021-04-22T03:38:49.000Z

experts/siamdw.py

songheony/AAA-journal

4306fac0afe567269b8d2f1cbef2a1c398fdde82

[ "MIT" ]

null

experts/siamdw.py

songheony/AAA-journal

4306fac0afe567269b8d2f1cbef2a1c398fdde82

[ "MIT" ]

1

2021-07-31T19:26:52.000Z

import sys import numpy as np import cv2 from easydict import EasyDict as edict from base_tracker import BaseTracker import path_config sys.path.append("external/SiamDW/lib") from tracker.siamrpn import SiamRPN import models.models as models from utils.utils import load_pretrain class SiamDW(BaseTracker): def __...

34.5

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1,587

4.366516

0.325792

0.050777

0.022798

0.039378

0.157513

0

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0.242596

1,587

45

86

35.266667

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0.15

0

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0.225

0

0.35

0

null

0

null

0

1

0

555695e92a72c35957e937841df7b620e7484601

3,346

py

Python

serpent/machine_learning/reinforcement_learning/rainbow_dqn/dqn.py

DylanSpicker/SerpentAI

c48c4b072e0d1084a52eac569ad1c7fa02ac7348

[ "MIT" ]

null

serpent/machine_learning/reinforcement_learning/rainbow_dqn/dqn.py

DylanSpicker/SerpentAI

c48c4b072e0d1084a52eac569ad1c7fa02ac7348

[ "MIT" ]

null

serpent/machine_learning/reinforcement_learning/rainbow_dqn/dqn.py

DylanSpicker/SerpentAI

c48c4b072e0d1084a52eac569ad1c7fa02ac7348

[ "MIT" ]

null

import math import torch class DQN(torch.nn.Module): def __init__(self, action_space, history=4, hidden_size=512, noisy_std=0.1, quantile=True): super().__init__() self.atoms = 200 if quantile else 51 self.action_space = action_space self.quantile = quantile self.conv1 =...

35.978495

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0.661686

495

3,346

4.212121

0.187879

0.057074

0.065228

0.060432

0.42542

0.402878

0.344844

0.251319

0.17554

0.141007

0

0.021723

0.21578

3,346

92

163

36.369565

0.772866

0

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0

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0

1

0.125

false

0

0.03125

0

0.25

0

null

0

null

0

1

0

55572056018bf803954acf22ae96913928e3246d

1,479

py

Python

src/modules/base/url_helper.py

yakii9/artificial-programmer

a6c1a5a47155ee4d24be729a0fa8c86ca40f85d1

[ "MIT" ]

1

2018-10-21T22:46:27.000Z

src/modules/base/url_helper.py

yakii9/artificial-programmer

a6c1a5a47155ee4d24be729a0fa8c86ca40f85d1

[ "MIT" ]

1

2018-10-29T04:34:13.000Z

2018-11-01T14:32:23.000Z

src/modules/base/url_helper.py

yakii9/artificial-programmer

a6c1a5a47155ee4d24be729a0fa8c86ca40f85d1

[ "MIT" ]

1

2018-10-21T22:46:48.000Z

import urllib.request from html.parser import HTMLParser from urllib import parse from modules.base.handle_timeout import timeout class ElementsFinder(HTMLParser): def __init__(self, base_url, page_url): super().__init__() self.base_url = base_url self.page_url = page_url self.lin...

25.067797

98

0.577417

176

1,479

4.676136

0.426136

0.034022

0.040097

0.058323

0.046173

0

0.003027

0.329953

1,479

58

99

25.5

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0.25

0

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1

0.181818

false

0.045455

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0.022727

0.454545

0.022727

0

null

0

null

0

1

0

5557b931f8213b68a545c1e272d7bfa56dc0f55f

7,460

py

Python

trainer/trainer.py

iprapas/dl-continuous-deployment

bcee578a8ae3aa74e4ede00d125cb456f6a3010e

[ "MIT" ]

null

trainer/trainer.py

iprapas/dl-continuous-deployment

bcee578a8ae3aa74e4ede00d125cb456f6a3010e

[ "MIT" ]

null

trainer/trainer.py

iprapas/dl-continuous-deployment

bcee578a8ae3aa74e4ede00d125cb456f6a3010e

[ "MIT" ]

null

import numpy as np import torch from torchvision.utils import make_grid from base import BaseTrainer from utils import inf_loop, MetricTracker, confusion_matrix_image import copy import sys import time from model.metric import Accuracy, TopkAccuracy def get_top_k(x, ratio): """it will sample the top 1-ratio of th...

38.061224

112

0.604826

922

7,460

4.684382

0.199566

0.043992

0.02709

0.026395

0.441769

0.376013

0.318592

0.293355

0.282241

0

0.005999

0.284987

7,460

195

113

38.25641

0.803712

0.187802

0

0.192

0

0.024551

0

1

0.056

false

0

0.072

0

0.184

0

null

0

null

0

1

0

555e8fe1a5ae17b4fbc51d4ad0090a37d1dc68ba

3,520

py

Python

pycba/utils.py

mayermelhem/pycba

8f6a0da12629bac2ad1c6c8e113357f96931ef17

[ "Apache-2.0" ]

10

2022-02-07T01:16:02.000Z

2022-03-12T07:56:43.000Z

pycba/utils.py

mayermelhem/pycba

8f6a0da12629bac2ad1c6c8e113357f96931ef17

[ "Apache-2.0" ]

5

2022-02-08T07:42:53.000Z

2022-03-31T21:33:42.000Z

pycba/utils.py

mayermelhem/pycba

8f6a0da12629bac2ad1c6c8e113357f96931ef17

[ "Apache-2.0" ]

1

2022-02-12T04:33:38.000Z

""" PyCBA - Utility functions for interacting with PyCBA """ import re import numpy as np from typing import Tuple def parse_beam_string( beam_string: str, ) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: """ This function parses a beam descriptor string and returns CBA input vectors. The ...

34.174757

86

0.605682

503

3,520

4.200795

0.353877

0.052059

0.031235

0.051112

0.064363

0.038807

0

0.02253

0.28125

3,520

102

87

34.509804

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0

0.054054

0

0.132343

0

1

0.027027

false

0

0.081081

0

0.135135

0

null

0

null

0

1

0

555f6946d9a27cac92dae44e27d4220ecfaf6269

10,363

py

Python

models/dcase2020_fuss_baseline/evaluate_lib.py

marciopuga/sound-separation

0b23ae22123b041b9538295f32a92151cb77bff9

[ "Apache-2.0" ]

412

2020-03-03T05:55:53.000Z

2022-03-29T20:49:11.000Z

models/dcase2020_fuss_baseline/evaluate_lib.py

marciopuga/sound-separation

0b23ae22123b041b9538295f32a92151cb77bff9

[ "Apache-2.0" ]

12

2020-04-09T17:47:01.000Z

2022-03-22T06:07:04.000Z

models/dcase2020_fuss_baseline/evaluate_lib.py

marciopuga/sound-separation

0b23ae22123b041b9538295f32a92151cb77bff9

[ "Apache-2.0" ]

89

2020-03-06T08:26:44.000Z

2022-03-31T11:36:23.000Z

# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...

41.618474

80

0.666795

1,365

10,363

4.770696

0.212454

0.031787

0.045147

0.030713

0.323864

0.288084

0.24309

0.195485

0.179361

0

0.011509

0.228602

10,363

248

81

41.78629

0.803102

0.154009

0

0.284153

0

0.005464

0.122817

0

1

0.027322

false

0

0.043716

0

0.092896

0.043716

0

null

0

null

0

1

0

55652d01d18ec68adf27b069baae8bf7ed3db2f4

1,705

py

Python

python/domain/compliance/model/measure.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

2

2021-01-09T17:00:51.000Z

2021-02-19T09:35:26.000Z

python/domain/compliance/model/measure.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

null

python/domain/compliance/model/measure.py

ICTU/document-as-code

e65fddb94513e7c2f54f248b4ce69e9e10ce42f5

[ "Apache-2.0" ]

1

2020-02-24T15:50:05.000Z

""" BIO measure - defines and describes a measure for BIO compliance """ from domain.base import Base class Measure(Base): """ Measures that help to in BIO compliance. """ _explain = None _not_applicable = None def __init__(self, identifier, description, identifiers, url=None, done=False): ...

26.640625

112

0.652199

190

1,705

5.510526

0.268421

0.161414

0.045845

0.034384

0

0.262757

1,705

63

113

27.063492

0.832936

0.111437

0

0.175

0

0.097659

0.04214

0

1

0.2

false

0

0.025

0.075

0.425

0

null

0

null

0

1

0

556657f3480d4123e6f0535b01c6ed2f5345122d

615

py

Python

week_06/readibility.py

fentybit/cs50

a6089e8ba47d0a8990cac3e0b5b28c5f2ba9f9c3

[ "CNRI-Python" ]

null

week_06/readibility.py

fentybit/cs50

a6089e8ba47d0a8990cac3e0b5b28c5f2ba9f9c3

[ "CNRI-Python" ]

null

week_06/readibility.py

fentybit/cs50

a6089e8ba47d0a8990cac3e0b5b28c5f2ba9f9c3

[ "CNRI-Python" ]

null

from cs50 import get_string text = get_string("Text: ") text_length = len(text) letters = 0 sentences = 0 words = 1 for i in range(text_length): if text[i].isalpha(): letters += 1 for i in range(text_length): if ord(text[i]) == 46 or ord(text[i]) == 33 or ord(text[i]) == 63: sentences += 1 f...

20.5

70

0.588618

103

615

3.456311

0.38835

0.070225

0.089888

0.058989

0.247191

0.179775

0

0.08658

0.24878

615

30

71

20.5

0.683983

0

0.125

0

0.068182

0

1

0

false

0

0.041667

0

0.041667

0.125

0

null

0

null

0

1

0

55686a8be609e908e7580542f40aa36255c8c155

12,532

py

Python

functions.py

flyingmat/pyfactorizer

6e607408bc21d04b09ecabfc6a579ad4058965f5

[ "MIT" ]

null

functions.py

flyingmat/pyfactorizer

6e607408bc21d04b09ecabfc6a579ad4058965f5

[ "MIT" ]

null

functions.py

flyingmat/pyfactorizer

6e607408bc21d04b09ecabfc6a579ad4058965f5

[ "MIT" ]

null

from math import floor remove_spaces = lambda inlst: [i for i in inlst if i != ' '] def sf2i(inp): if float(inp).is_integer(): return str(int(inp)) else: return str(inp) def fix_signs(inlst): i = 0 while i < len(inlst): if inlst[i] in '+-': # first sign is detected ...

39.040498

151

0.514682

1,866

12,532

3.383708

0.136656

0.009978

0.01663

0.006969

0.207159

0.127336

0.111182

0.071904

0.04878

0.014888

0

0.053719

0.343441

12,532

320

152

39.1625

0.713661

0.129828

0

0.189189

0

0.006349

0

0.003378

0

1

0.077703

false

0

0.003378

0.006757

0.155405

0

null

0

null

0

1

0

556d8216ffbaa6f7a0d0816c6b1ba9baa984c1a1

381

py

Python

Problems/14.py

Maurya232Abhishek/Python-repository-for-basics

3dcec5c529a0847df07c9dcc1424675754ce6376

[ "MIT" ]

2

2021-07-14T11:01:58.000Z

2021-07-14T11:02:01.000Z

Problems/14.py

Maurya232Abhishek/Python-repository-for-basics

3dcec5c529a0847df07c9dcc1424675754ce6376

[ "MIT" ]

null

Problems/14.py

Maurya232Abhishek/Python-repository-for-basics

3dcec5c529a0847df07c9dcc1424675754ce6376

[ "MIT" ]

null

def isPerCube(n): x = n**(1/3) x= x+0.5 x = int(x) if x**3==n: return True return False """ x = 2 while True: y = n / (x * x) if (x == y): print(x) if x == int(x): return True else: return False ...

19.05

28

0.351706

53

381

2.528302

0.339623

0.044776

0.089552

0

0.036458

0.496063

381

20

29

19.05

0.661458

0

1

0.125

false

0

0.375

0.125

0

null

0

null

0

1

0

556f083296f917021fc8c5ac171cde72ce1bed3a

1,690

py

Python

backend/health/health_check.py

threefoldtech/zeroCI

851def4cbaebba681641ecb24c731de56277d6ed

[ "Apache-2.0" ]

null

backend/health/health_check.py

threefoldtech/zeroCI

851def4cbaebba681641ecb24c731de56277d6ed

[ "Apache-2.0" ]

52

2019-11-14T09:39:04.000Z

2021-03-16T10:15:55.000Z

backend/health/health_check.py

AhmedHanafy725/0-CI

ce73044eea2c15bcbb161a1d6f23e75e4f8d53a0

[ "Apache-2.0" ]

1

2019-10-30T09:51:25.000Z

import sys sys.path.append("/sandbox/code/github/threefoldtech/zeroCI/backend") from redis import Redis from health_recover import Recover from utils.utils import Utils recover = Recover() class Health(Utils): def get_process_pid(self, name): cmd = f"ps -aux | grep -v grep | grep '{name}' | awk '{{pri...

25.606061

76

0.562722

205

1,690

4.468293

0.336585

0.065502

0.085153

0.092795

0.151747

0.074236

0

0.006975

0.321302

1,690

65

77

26

0.79163

0.084615

0

0.133333

0

0.13909

0.032301

0

1

0.111111

false

0

0.088889

0

0.244444

0.022222

0

null

0

null

0

1

0

5570f5a350941f5510b456b02cd8353c974ae345

13,284

py

Python

vesper/command/recording_importer.py

RichardLitt/Vesper

5360844f42a06942e7684121c650b08cf8616285

[ "MIT" ]

null

vesper/command/recording_importer.py

RichardLitt/Vesper

5360844f42a06942e7684121c650b08cf8616285

[ "MIT" ]

null

vesper/command/recording_importer.py

RichardLitt/Vesper

5360844f42a06942e7684121c650b08cf8616285

[ "MIT" ]

null

"""Module containing class `RecordingImporter`.""" from pathlib import Path import itertools import logging import os from django.db import transaction from vesper.command.command import CommandExecutionError from vesper.django.app.models import ( DeviceConnection, Job, Recording, RecordingChannel, RecordingFil...

32.479218

77

0.564664

1,410

13,284

5.052482

0.18227

0.042673

0.016844

0.013476

0.165076

0.085345

0.044076

0.036216

0.022179

0

0.001188

0.366531

13,284

408

78

32.558824

0.845395

0.101551

0

0.189076

0

0.074987

0.001773

0

1

0.088235

false

0

0.096639

0

0.273109

0

null

0

null

0

1

0

5576c4dbc04cfe8f5be4007143719bb7a25f5574

2,033

py

Python

Quotebot/utils.py

musawakiliML/Whatsapp-Bots

29fe6c645010ddedac1424b22c842b3e61511644

[ "MIT" ]

null

Quotebot/utils.py

musawakiliML/Whatsapp-Bots

29fe6c645010ddedac1424b22c842b3e61511644

[ "MIT" ]

null

Quotebot/utils.py

musawakiliML/Whatsapp-Bots

29fe6c645010ddedac1424b22c842b3e61511644

[ "MIT" ]

null

import requests def random_quote(type=''): '''A function to get random quotes''' if type == "today": response_quote = requests.get("https://zenquotes.io/api/today/ff5e73b15a05ca51951b758bd7943ce803d71772") if response_quote.status_code == 200: quote_data = response_quote.json() ...

31.765625

113

0.624693

246

2,033

4.963415

0.223577

0.085176

0.078624

0.075348

0.550369

0.529894

0.457002

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0

null

0

null

0

1

0

557a41cb5f2fe81007b03e1796d482334c493ead

3,401

py

Python

src/day16.py

dcbriccetti/advent-of-code-2021-python

65958fb256234cf882714d3c3306cdbf60bcc0ae

[ "Unlicense" ]

4

2021-12-10T22:47:56.000Z

2021-12-26T21:35:58.000Z

src/day16.py

dcbriccetti/advent-of-code-2021-python

65958fb256234cf882714d3c3306cdbf60bcc0ae

[ "Unlicense" ]

null

src/day16.py

dcbriccetti/advent-of-code-2021-python

65958fb256234cf882714d3c3306cdbf60bcc0ae

[ "Unlicense" ]

null

from math import prod from pathlib import Path class BitStream: 'Deliver integers from a stream of bits created from a hexadecimal string' bit_str: str pos: int def __init__(self, hex_nibbles_str: str) -> None: def binary_nibble_str(hex_nibble_str: str) -> str: 'Convert, for examp...

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null

0

null

0

1

0

557ac6c635a14924685b462c2a901a11408e15a1

6,328

py

Python

Santander-spyder.py

Herikc2/Santander-Customer-Satisfaction

c868538ab06c252b2f9e51bac384b0f6e48efd70

[ "MIT" ]

null

Santander-spyder.py

Herikc2/Santander-Customer-Satisfaction

c868538ab06c252b2f9e51bac384b0f6e48efd70

[ "MIT" ]

null

Santander-spyder.py

Herikc2/Santander-Customer-Satisfaction

c868538ab06c252b2f9e51bac384b0f6e48efd70

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Mar 3 17:13:15 2021 Database: https://www.kaggle.com/c/santander-customer-satisfaction @author: Herikc Brecher """ # Import from libraries from sklearn.model_selection import KFold from sklearn.model_selection import cross_val_score from sklearn.model_selection i...

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0

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0

null

0

null

0

1

0

557b0f82fa2e590f23c344cfc48bb3aef2ee423d

4,502

py

Python

Memorization Tool/task/tool.py

soukalli/jetbrain-accademy

fc486d439b4b54a58956e1186eb69c56b85f85f1

[ "MIT" ]

null

Memorization Tool/task/tool.py

soukalli/jetbrain-accademy

fc486d439b4b54a58956e1186eb69c56b85f85f1

[ "MIT" ]

null

Memorization Tool/task/tool.py

soukalli/jetbrain-accademy

fc486d439b4b54a58956e1186eb69c56b85f85f1

[ "MIT" ]

null

# write your code here from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, String, Integer from sqlalchemy.orm import sessionmaker engine = create_engine('sqlite:///flashcard.db?check_same_thread=False') Base = declarative_base() Session = sessio...

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null

0

null

0

1

0

557b20fb22a3ac884a03a5ffa7db1db58d06ea7c

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py

Python

src/compass/utils/geo_metadata.py

vbrancat/COMPASS

285412ac2fc474e789e255dae16eba4485017c07

[ "Apache-2.0" ]

11

2021-11-24T07:24:11.000Z

2022-03-23T16:40:13.000Z

src/compass/utils/geo_metadata.py

vbrancat/COMPASS

285412ac2fc474e789e255dae16eba4485017c07

[ "Apache-2.0" ]

6

2021-12-15T16:45:58.000Z

2022-03-24T23:36:16.000Z

src/compass/utils/geo_metadata.py

LiangJYu/COMPASS

459f5d6cf05c2b7c9013f0d862bfef22af280fa6

[ "Apache-2.0" ]

4

2021-12-07T19:45:26.000Z

2022-02-28T23:05:37.000Z

from dataclasses import dataclass from datetime import datetime import json from types import SimpleNamespace import isce3 from isce3.core import LUT2d, Poly1d, Orbit from isce3.product import GeoGridParameters import numpy as np from ruamel.yaml import YAML from shapely.geometry import Point, Polygon from compass.ut...

37.930769

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9,862

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0.291667

0

null

0

null

0

1

0

557fbf2a8059c9beebbcd0bd1552ded759c8e7f0

2,227

py

Python

tests/test_db.py

andreasgrv/methinks

5c65fdb84e35b8082ee35963431a352e06f4af44

[ "BSD-3-Clause" ]

null

tests/test_db.py

andreasgrv/methinks

5c65fdb84e35b8082ee35963431a352e06f4af44

[ "BSD-3-Clause" ]

null

tests/test_db.py

andreasgrv/methinks

5c65fdb84e35b8082ee35963431a352e06f4af44

[ "BSD-3-Clause" ]

null

import datetime from methinks.db import Entry import pytest from server.app import create_app from server.app import db as _db from sqlalchemy import event from sqlalchemy.orm import sessionmaker @pytest.fixture(scope="session") def app(request): """ Returns session-wide application. """ return create...

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null

0

null

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1

0

5581ae54a36323a4a46f3383645e34f4c26755e1

2,891

py

Python

bin/simple_log_server.py

kr0nt4b/ctrl_my_home

fd86b479d78f94aaa5d6cc92f0f49399aaef0733

[ "Apache-2.0" ]

null

bin/simple_log_server.py

kr0nt4b/ctrl_my_home

fd86b479d78f94aaa5d6cc92f0f49399aaef0733

[ "Apache-2.0" ]

null

bin/simple_log_server.py

kr0nt4b/ctrl_my_home

fd86b479d78f94aaa5d6cc92f0f49399aaef0733

[ "Apache-2.0" ]

null

#!/usr/bin/python2 """ Simple socket server using threads """ import socket import sys from thread import * import os import logging HOST = '' # Symbolic name meaning all available interfaces PORT = 9998 # Arbitrary non-privileged port LOG_FORMAT = '%(asctime)-15s %(message)s' SMART_LOG = '/var/log/smart/smart...

28.91

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null

0

null

0

1

0

5581eb881f3ca5ddfe7fd5be0a7447ea5b604281

1,348

py

Python

utils/calc_drh.py

leogoesger/func-flow

c81f73998df9b02c04c19a6beae463121d5a8898

[ "MIT" ]

11

2018-04-14T00:34:34.000Z

2021-05-04T17:23:50.000Z

utils/calc_drh.py

Yesicaleon/func-flow

c81f73998df9b02c04c19a6beae463121d5a8898

[ "MIT" ]

15

2019-04-02T03:35:22.000Z

2022-02-12T13:17:11.000Z

utils/calc_drh.py

Yesicaleon/func-flow

c81f73998df9b02c04c19a6beae463121d5a8898

[ "MIT" ]

9

2018-12-01T19:46:11.000Z

2022-03-31T17:18:15.000Z

import numpy as np from utils.helpers import * percentiles = [10, 25, 50, 75, 90] percentile_keys = ["ten", "twenty_five", "fifty", "seventy_five", "ninty"] def calc_drh(flow_matrix): """Dimensionless Hydrograph Plotter""" average_annual_flow = calculate_average_each_column(flow_matrix) number_of_rows = ...

39.647059

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null

0

null

0

1

0

558930319f7b3b786028343bb2be22080c9650c4

14,091

py

Python

src/icaltool/icaltool.py

randomchars42/icaltool

acf482f08bb4eb7bc000c0b2591c6d76ec8fcaac

[ "Unlicense" ]

null

src/icaltool/icaltool.py

randomchars42/icaltool

acf482f08bb4eb7bc000c0b2591c6d76ec8fcaac

[ "Unlicense" ]

null

src/icaltool/icaltool.py

randomchars42/icaltool

acf482f08bb4eb7bc000c0b2591c6d76ec8fcaac

[ "Unlicense" ]

null

#!/usr/bin/env python3 import csv import logging import logging.config import re import argparse import json import sys from .log import log from . import datatypes logger = logging.getLogger(__name__) default_column_mapping = { 'DTSTART': 0, 'DTEND': 1, 'DTSTAMP': 2, 'UID': 3, 'CREATED': 4, ...

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null

0

null

0

1

0

558cbd4a7ce3e41aaed8e2b86ecb2cf3f058fd07

20,998

py

Python

script.py

kenneth2001/Virus

e7d0b650d9d7a4eaab9bd87b3695b791e1f105b1

[ "MIT" ]

null

script.py

kenneth2001/Virus

e7d0b650d9d7a4eaab9bd87b3695b791e1f105b1

[ "MIT" ]

null

script.py

kenneth2001/Virus

e7d0b650d9d7a4eaab9bd87b3695b791e1f105b1

[ "MIT" ]

null

import asyncio import requests from bs4 import BeautifulSoup from datetime import date, datetime import discord import numpy as np from urllib.error import HTTPError import yt_dlp as youtube_dl from discord.ext import commands import os from pytz import timezone from yt_dlp.utils import DownloadError, ExtractorError fr...

37.563506

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20,998

4.469023

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0.234364

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0

0.013435

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20,998

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false

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0

null

0

null

0

1

0

558d879413f6f88e3c45e2ca06534a675e1043f9

480

py

Python

solutions/1281-subtract-the-product-and-sum-of-digits-of-an-integer.py

lk-hang/leetcode

4c8735463bdcb9f48666e03a39eb03ee9f625cec

[ "MIT" ]

null

solutions/1281-subtract-the-product-and-sum-of-digits-of-an-integer.py

lk-hang/leetcode

4c8735463bdcb9f48666e03a39eb03ee9f625cec

[ "MIT" ]

null

solutions/1281-subtract-the-product-and-sum-of-digits-of-an-integer.py

lk-hang/leetcode

4c8735463bdcb9f48666e03a39eb03ee9f625cec

[ "MIT" ]

null

""" Given an integer number n, return the difference between the product of its digits and the sum of its digits. """ class Solution: def subtractProductAndSum(self, n: int) -> int: if n < 10: return 0 running_prod = 1 running_sum = 0 while n > 0: re...

25.263158

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480

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0.036735

0.089796

0

0.035336

0.410417

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110

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0.227083

0

1

0.083333

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0

0.333333

0

null

0

null

0

1

0

558e58ba058923b58851710da67bc2d4ad87a57f

1,031

py

Python

VideoIndexerDemo/VideoIndexer/application.py

microsoft/ai4accessibility

4c13d006f285e31f01d1bc71a55c20e9234713a5

[ "MIT" ]

2

2021-07-11T06:03:43.000Z

2021-10-09T23:37:21.000Z

VideoIndexerDemo/VideoIndexer/application.py

microsoft/ai4accessibility

4c13d006f285e31f01d1bc71a55c20e9234713a5

[ "MIT" ]

6

2021-09-08T03:07:13.000Z

2022-03-12T00:57:07.000Z

VideoIndexerDemo/VideoIndexer/application.py

microsoft/ai4accessibility

4c13d006f285e31f01d1bc71a55c20e9234713a5

[ "MIT" ]

3

2021-02-14T18:51:31.000Z

2021-02-14T18:51:41.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from dotenv import load_dotenv load_dotenv() import os import json import requests from concurrent.futures import ThreadPoolExecutor from flask import Flask, flash, request, redirect, url_for, session from video_captioning.main import upload_vid...

29.457143

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0.044655

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0

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0

0.5

0

null

0

null

0

1

0

559154d893c3d43225a58bc587edd3aa01dea828

5,154

py

Python

code/tests/unit/api/test_enrich.py

CiscoSecurity/tr-05-serverless-cybercrime-tracker

28fcfaa220025c9e8523633a4a9a04f319656756

[ "MIT" ]

3

2020-04-28T08:53:14.000Z

2020-12-17T14:25:32.000Z

code/tests/unit/api/test_enrich.py

CiscoSecurity/tr-05-serverless-cybercrime-tracker

28fcfaa220025c9e8523633a4a9a04f319656756

[ "MIT" ]

2

2020-03-06T15:00:22.000Z

2020-06-26T11:21:52.000Z

code/tests/unit/api/test_enrich.py

CiscoSecurity/tr-05-serverless-cybercrime-tracker

28fcfaa220025c9e8523633a4a9a04f319656756

[ "MIT" ]

null

from http import HTTPStatus from requests.exceptions import SSLError from pytest import fixture from unittest import mock from tests.unit.mock_for_tests import ( CYBERCRIME_RESPONSE_MOCK, EXPECTED_DELIBERATE_RESPONSE, EXPECTED_OBSERVE_RESPONSE, EXPECTED_RESPONSE_500_ERROR, EXPECTED_RESPONSE_404_ER...

29.451429

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0.695188

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5,154

5.587171

0.161184

0.065057

0.064763

0.040624

0.669709

0.607006

0.577568

0.554018

0.527524

0

0.013546

0.197905

5,154

174

77

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0

0.408333

0

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0

0.175

1

0.108333

false

0

0.041667

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0.191667

0

null

0

null

0

1

0

5593fe3d21ad82b5382d08854df0a8f99eec0ed9

1,900

py

Python

src/ensae_teaching_cs/tests/american_cities.py

Jerome-maker/ensae_teaching_cs

43ea044361ee60c00c85aea354a7b25c21c0fd07

[ "MIT" ]

73

2015-05-12T13:12:11.000Z

2021-12-21T11:44:29.000Z

src/ensae_teaching_cs/tests/american_cities.py

Jerome-maker/ensae_teaching_cs

43ea044361ee60c00c85aea354a7b25c21c0fd07

[ "MIT" ]

90

2015-06-23T11:11:35.000Z

2021-03-31T22:09:15.000Z

src/ensae_teaching_cs/tests/american_cities.py

Jerome-maker/ensae_teaching_cs

43ea044361ee60c00c85aea354a7b25c21c0fd07

[ "MIT" ]

65

2015-01-13T08:23:55.000Z

2022-02-11T22:42:07.000Z

""" @file @brief Function to test others functionalities """ import os import pandas from pyquickhelper.loghelper import fLOG from ..faq.faq_matplotlib import graph_cities from ..special import tsp_kruskal_algorithm, distance_haversine def american_cities(df_or_filename, nb_cities=-1, img=None, fLOG=fLOG): """ ...

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0.25

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null

0

null

0

1

0

5594b24c92581e7c3ba26f490dea8b770f2cf8fd

2,049

py

Python

tools/ntp_spoofer.py

dschoonwinkel/pypacker

58c833f40207db746b0b2995ca3835a533e0258e

[ "BSD-3-Clause" ]

null

tools/ntp_spoofer.py

dschoonwinkel/pypacker

58c833f40207db746b0b2995ca3835a533e0258e

[ "BSD-3-Clause" ]

null

tools/ntp_spoofer.py

dschoonwinkel/pypacker

58c833f40207db746b0b2995ca3835a533e0258e

[ "BSD-3-Clause" ]

null

"""Simple NTP spoofing tool.""" from pypacker.layer12.ethernet import Ethernet from pypacker.layer3 import ip from pypacker.layer4.udp import UDP from pypacker.layer567 import ntp from pypacker import psocket # interface to listen on IFACE = "wlan0" # source address which commits a NTP request and we send a wrong ans...

32.52381

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0

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0

null

0

null

0

1

0

5594c3feafec578628223eff5ebd91b66138d3a5

7,524

py

Python

motsfinder/exprs/test_basics.py

daniel-dpk/distorted-motsfinder-public

8c2eec174c755c55b26b568243e58c2956a35257

[ "MIT" ]

4

2019-08-26T09:50:26.000Z

2022-03-02T16:11:17.000Z

motsfinder/exprs/test_basics.py

daniel-dpk/distorted-motsfinder-public

8c2eec174c755c55b26b568243e58c2956a35257

[ "MIT" ]

5

2021-03-31T19:55:34.000Z

2021-04-01T08:29:53.000Z

motsfinder/exprs/test_basics.py

daniel-dpk/distorted-motsfinder-public

8c2eec174c755c55b26b568243e58c2956a35257

[ "MIT" ]

1

2019-09-18T14:15:33.000Z

#!/usr/bin/env python3 from __future__ import print_function from builtins import range, map import unittest import sys import pickle import numpy as np from mpmath import mp from testutils import DpkTestCase from .numexpr import NumericExpression from .numexpr import isclose from .basics import OffsetExpression, D...

34.356164

91

0.591042

1,049

7,524

4.102955

0.1449

0.055762

0.03973

0.013941

0.335967

0.293448

0.254647

0.218634

0.165195

0.118727

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34.513761

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0.28022

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0

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0.313187

0.005495

0

null

0

null

0

1

0

559516145d3a91e65f7eba170cf38f3e8329840b

468

py

Python

python/Data Structures and Algorithms in Python Book/oop/fibonacciprogression.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

7

2020-05-10T09:57:23.000Z

2021-03-27T11:55:07.000Z

python/Data Structures and Algorithms in Python Book/oop/fibonacciprogression.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

null

python/Data Structures and Algorithms in Python Book/oop/fibonacciprogression.py

gauravssnl/Data-Structures-and-Algorithms

1c335c72ce514d4f95090241bbd6edf01a1141a8

[ "MIT" ]

3

2021-03-27T03:42:57.000Z

2021-08-09T12:03:41.000Z

from progression import Progression class FibonacciProgression(Progression): def __init__(self, first=0, second=1): super().__init__(start=first) self._previous = second - first def _advance(self): self._previous, self._current = self._current, self._previous + self._current ...

29.25

85

0.713675

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468

6.16

0.5

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0.149351

0

0.015831

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15

86

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0.796834

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0.4

0.1

0

null

0

null

0

1

0

55966e42aa982766be05f8a6dbd86f8df5f992eb

18,587

py

Python

openamundsen/modules/snow/multilayermodel.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

3

2021-05-28T06:46:36.000Z

2021-06-14T13:39:25.000Z

openamundsen/modules/snow/multilayermodel.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

22

2021-04-28T12:31:58.000Z

2022-03-09T18:29:12.000Z

openamundsen/modules/snow/multilayermodel.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

1

2021-06-01T12:48:54.000Z

import numpy as np from numba import njit, prange from openamundsen import constants, constants as c, heatconduction from openamundsen.snowmodel import SnowModel from . import snow class MultilayerSnowModel(SnowModel): def __init__(self, model): self.model = model s = model.state.snow num...

30.470492

161

0.559907

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18,587

4.008042

0.086047

0.019663

0.075843

0.042636

0.632624

0.55327

0.514346

0.45325

0.408106

0.375201

0

0.026072

0.327272

18,587

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162

30.520525

0.770713

0.285845

0

0.431548

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0

0.001642

0

1

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0

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0

0.068452

0

null

0

null

0

1

0

5598bbdfc235215336c94064608a0db8ff763655

3,961

py

Python

bpmn/urls.py

VSSantana/SFDjango-BPMN

e5a3fb8da9282fd88f72a85a4b34d89d38391e36

[ "MIT" ]

1

2021-09-21T00:02:10.000Z

bpmn/urls.py

VSSantana/SFDjango-BPMN

e5a3fb8da9282fd88f72a85a4b34d89d38391e36

[ "MIT" ]

5

2021-09-22T13:54:06.000Z

2021-09-22T14:05:56.000Z

bpmn/urls.py

marcelobbfonseca/SFDjango-BPMN

50565763414f52d9e84004494cf550c6fe2358fa

[ "MIT" ]

1

2021-09-18T01:22:25.000Z

from django.urls import path from django.contrib.auth.views import LoginView from .views.activity_view import * from .views.activity_type_view import * from .views.event_view import * from .views.flow_view import * from .views.lane_view import * from .views.pool_view import * from .views.process_type_view import * from...

73.351852

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519

3,961

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0.083393

0.135424

0.048111

0.122238

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3,961

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128

74.735849

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0

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0

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0

0.211538

0

null

0

null

0

1

0

559adf86675fc57065409a6e9ac6154669c807e5

3,404

py

Python

edwin/__init__.py

AlanSwenson/edwin

94f62a4db6cc5123224607f92a1f552be072c708

[ "MIT" ]

null

edwin/__init__.py

AlanSwenson/edwin

94f62a4db6cc5123224607f92a1f552be072c708

[ "MIT" ]

8

2019-03-13T13:39:00.000Z

2019-04-02T14:58:21.000Z

edwin/__init__.py

AlanSwenson/edwin

94f62a4db6cc5123224607f92a1f552be072c708

[ "MIT" ]

null

import eventlet eventlet.monkey_patch() import time from datetime import datetime, timedelta, timezone import pytz from email.utils import parsedate_tz import json from flask import Flask, request, render_template from threading import Thread from tweepy import OAuthHandler, API, Stream, Cursor from flask_socketio i...

30.392857

84

0.574031

357

3,404

5.268908

0.40056

0.038278

0.042531

0.035088

0.079213

0.026582

0

0.013632

0.331962

3,404

112

85

30.392857

0.813544

0.046122

0

0.047619

0

0.102129

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0

1

0.059524

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0

0.142857

0

0.238095

0.02381

0

null

0

null

0

1

0

559ae7307b62942efd1983a817dbb736879880c0

2,255

py

Python

troop/admin.py

packmas13/registration

bfb42c5479d59494b59e7c656cb04826e110e8d2

[ "MIT" ]

1

2020-08-12T09:51:42.000Z

troop/admin.py

packmas13/registration

bfb42c5479d59494b59e7c656cb04826e110e8d2

[ "MIT" ]

46

2020-01-24T16:51:41.000Z

2022-03-29T16:03:12.000Z

troop/admin.py

packmas13/registration

bfb42c5479d59494b59e7c656cb04826e110e8d2

[ "MIT" ]

1

2020-01-28T21:25:06.000Z

from django import forms from django.contrib import admin from .models import Attendance, Diet, Participant, Troop from payment.admin import DiscountInline, PaymentInline class AttendanceInline(admin.TabularInline): model = Participant.attendance.through readonly_fields = ("participant",) can_delete = F...

21.47619

75

0.632373

217

2,255

6.391705

0.336406

0.039654

0.063446

0.049027

0.261716

0.225667

0.180966

0

0.267849

2,255

104

76

21.682692

0.840097

0

0.365854

0

0.082927

0

1

0.04878

false

0

0.04878

0.036585

0.47561

0

null

0

null

0

1

0

559b8b906411edd79ce8b01d4b0d9cdea4c7292c

829

py

Python

demo_snippets/11_Datenvisualisierung/main.py

fabod/pro2

69b1015fa789ef05bf9b514d94b231f76bdf5e29

[ "MIT" ]

2

2020-03-03T14:57:40.000Z

2020-03-20T10:59:47.000Z

demo_snippets/11_Datenvisualisierung/main.py

fabod/pro2

69b1015fa789ef05bf9b514d94b231f76bdf5e29

[ "MIT" ]

null

demo_snippets/11_Datenvisualisierung/main.py

fabod/pro2

69b1015fa789ef05bf9b514d94b231f76bdf5e29

[ "MIT" ]

null

from flask import Flask from flask import render_template import plotly.express as px from plotly.offline import plot app = Flask("Datenvisualisierung") def data(): data = px.data.gapminder() data_ch = data[data.country == 'Switzerland'] return data_ch def viz(): data_ch = data() fig = px.ba...

18.422222

53

0.587455

105

829

4.47619

0.533333

0.051064

0.06383

0

0.01157

0.270205

829

44

54

18.840909

0.765289

0.043426

0

0.150442

0

1

0.1

false

0

0.133333

0

0.333333

0

null

0

null

0

1

0

559c155e6e0b7efb591c20bbc5e5237149bd61eb

2,940

py

Python

data_analysis/get_model_statistics.py

fluTN/influenza

40cbede52bc4e95d52369eebe4a50ad4b71369d1

[ "MIT" ]

1

2020-10-29T09:56:31.000Z

data_analysis/get_model_statistics.py

fluTN/influenza

40cbede52bc4e95d52369eebe4a50ad4b71369d1

[ "MIT" ]

null

data_analysis/get_model_statistics.py

fluTN/influenza

40cbede52bc4e95d52369eebe4a50ad4b71369d1

[ "MIT" ]

1

2022-01-22T11:34:29.000Z

# -*- coding: utf-8 -*- """Script which can be used to compare the features obtained of two different influenza models Usage: get_model_statistics.py <model> [--country=<country_name>] [--no-future] [--basedir=<directory>] [--start-year=<start_year>] [--end-year=<end_year>] [--save] [--no-graph] <baseline> ...

33.409091

172

0.644558

399

2,940

4.62406

0.358396

0.026558

0.019512

0.017344

0.0271

0

0.013779

0.185374

2,940

87

173

33.793103

0.756576

0.197619

0

0.09434

0

0.196505

0

1

0.018868

false

0

0.169811

0

0.207547

0

null

0

null

0

1

0

559f3ab5a294666e58af2d7a21dc2e34d7f16b41

21,887

py

Python

sisu/summarizer.py

balouf/sisu

07541e6a02e545372452b33f7df056331397001f

[ "BSD-3-Clause" ]

null

sisu/summarizer.py

balouf/sisu

07541e6a02e545372452b33f7df056331397001f

[ "BSD-3-Clause" ]

null

sisu/summarizer.py

balouf/sisu

07541e6a02e545372452b33f7df056331397001f

[ "BSD-3-Clause" ]

null

from scipy.sparse import vstack from sklearn.metrics.pairwise import cosine_similarity import numpy as np from sisu.preprocessing.tokenizer import is_relevant_sentence, make_sentences, sanitize_text from gismo.gismo import Gismo, covering_order from gismo.common import auto_k from gismo.parameters import Parameters fr...

46.077895

161

0.646

2,836

21,887

4.892454

0.184767

0.018739

0.01427

0.016865

0.388685

0.355243

0.333766

0.323387

0.31618

0.308036

0

0.012698

0.255174

21,887

474

162

46.175105

0.838425

0.558596

0

0.067568

0

0.080032

0.010139

0

1

0.074324

false

0

0.067568

0.006757

0.209459

0

null

0

null

0

1

0

559fa91e2cb3fcb7a60d3f0698d9ba9ef4cfe606

4,482

py

Python

automr/bridge.py

hebrewsnabla/pyAutoMR

8e81ed7fd780abd94f8b51e48ee4b980a868c204

[ "Apache-2.0" ]

5

2021-06-03T07:49:02.000Z

2022-02-21T11:35:20.000Z

automr/bridge.py

hebrewsnabla/pyAutoMR

8e81ed7fd780abd94f8b51e48ee4b980a868c204

[ "Apache-2.0" ]

2

2022-01-20T08:33:59.000Z

2022-03-26T12:21:15.000Z

automr/bridge.py

hebrewsnabla/pyAutoMR

8e81ed7fd780abd94f8b51e48ee4b980a868c204

[ "Apache-2.0" ]

1

2022-02-21T11:35:34.000Z

import numpy as np import os from automr import dump_mat from functools import partial, reduce print = partial(print, flush=True) einsum = partial(np.einsum, optimize=True) def print_mol(mol): print(mol._basis) print(mol.atom) print(mol._atom) print(mol.aoslice_by_atom()) print(mol.ao_labels()) #if...

35.015625

86

0.51071

669

4,482

3.312407

0.234679

0.100181

0.088448

0.022563

0.38222

0.259477

0.222473

0.219314

0

0.032612

0.309014

4,482

128

87

35.015625

0.682919

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0

0.065217

0

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0

1

0.043478

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0

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0

0.097826

0.119565

0

null

0

null

0

1

0

55a1b6b516c4d12eb63cdf47d747201063521f8c

487

py

Python

Example/playstore.py

goodop/api-imjustgood.com

6406b531c4393fa8a4ace3c206d23895da915caf

[ "MIT" ]

4

2021-01-01T10:20:13.000Z

2021-11-08T09:32:54.000Z

Example/playstore.py

goodop/api-imjustgood.com

6406b531c4393fa8a4ace3c206d23895da915caf

[ "MIT" ]

null

Example/playstore.py

goodop/api-imjustgood.com

6406b531c4393fa8a4ace3c206d23895da915caf

[ "MIT" ]

25

2021-01-09T18:22:32.000Z

2021-05-29T07:42:06.000Z

from justgood import imjustgood media = imjustgood("YOUR_APIKEY_HERE") query = "gojek" # example query data = media.playstore(query) # Get attributes number = 0 result = "Playstore :" for a in data["result"]: number += 1 result += "\n\n{}. {}".format(number, a["title"]) result += "\nDeveloper : {}".format...

24.35

55

0.63655

59

487

5.220339

0.576271

0.068182

0

0.004938

0.168378

487

19

56

25.631579

0.755556

0.092402

0

0.273973

0

1

0

false

0

0.071429

0

0.071429

0.142857

0

null

0

null

0

1

0

55a63e41c61dfc7f2803753c38bd275ef075fcb4

10,272

py

Python

codes/3_derive_elementary_effects.py

aviolinist/EEE

032e2029815229875048cc92dd7da24ff3f71e93

[ "MIT" ]

6

2019-09-27T15:38:37.000Z

2021-02-03T13:58:01.000Z

codes/3_derive_elementary_effects.py

aviolinist/EEE

032e2029815229875048cc92dd7da24ff3f71e93

[ "MIT" ]

null

codes/3_derive_elementary_effects.py

aviolinist/EEE

032e2029815229875048cc92dd7da24ff3f71e93

[ "MIT" ]

5

2019-09-27T15:38:52.000Z

2022-03-22T17:24:37.000Z

#!/usr/bin/env python from __future__ import print_function # Copyright 2019 Juliane Mai - juliane.mai(at)uwaterloo.ca # # License # This file is part of the EEE code library for "Computationally inexpensive identification # of noninformative model parameters by sequential screening: Efficient Elementary Effects (EEE)...

43.897436

405

0.633178

1,336

10,272

4.760479

0.255988

0.034591

0.031447

0.017925

0.343553

0.30739

0.245283

0.207233

0.198113

0

0.020887

0.207652

10,272

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406

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0.760536

0.292445

0

0.125

0

0.05

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0.045078

0

1

0

false

0

0.066667

0

0.066667

0.016667

0

null

0

null

0

1

0

55a8a143755092a98ad8640901e8dbdb8d58845f

9,439

py

Python

install/app_store/tk-framework-desktopserver/v1.3.1/python/tk_framework_desktopserver/command.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

null

install/app_store/tk-framework-desktopserver/v1.3.1/python/tk_framework_desktopserver/command.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

null

install/app_store/tk-framework-desktopserver/v1.3.1/python/tk_framework_desktopserver/command.py

JoanAzpeitia/lp_sg

e0ee79555e419dd2ae3a5f31e5515b3f40b22a62

[ "MIT" ]

1

2020-02-15T10:42:56.000Z

# Copyright (c) 2013 Shotgun Software Inc. # # CONFIDENTIAL AND PROPRIETARY # # This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit # Source Code License included in this distribution package. See LICENSE. # By accessing, using, copying or modifying this work you indicate your # agreement to the S...

36.727626

123

0.604831

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9,439

4.721754

0.306914

0.025536

0.018214

0.023571

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0.13875

0.133393

0.096071

0

0.005035

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9,439

256

124

36.871094

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0

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1

0.052174

false

0.017391

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0

0.173913

0

null

0

null

0

1

0

55ae9ba4b65519bc33be7de8562a205f27c9a655

745

py

Python

brilws/cli/briltag_insertdata.py

xiezhen/brilws

e3652dd4506dff9d713184ff623b59bc11fbe2c7

[ "MIT" ]

1

2017-03-23T16:26:06.000Z

brilws/cli/briltag_insertdata.py

xiezhen/brilws

e3652dd4506dff9d713184ff623b59bc11fbe2c7

[ "MIT" ]

1

2017-03-24T15:02:20.000Z

2017-10-02T13:43:26.000Z

brilws/cli/briltag_insertdata.py

xiezhen/brilws

e3652dd4506dff9d713184ff623b59bc11fbe2c7

[ "MIT" ]

1

2019-12-06T09:23:01.000Z

""" Usage: briltag insertdata [options] Options: -h --help Show this screen. -c CONNECT Service name [default: onlinew] -p AUTHPATH Authentication file --name TAGNAME Name of the data tag --comments COMMENTS Comments on the t...

25.689655

93

0.625503

88

745

5.147727

0.625

0.07064

0

0.271141

745

28

94

26.607143

0.834254

0.421477

0

0.067308

0

1

0.090909

false

0

0.272727

0

0.454545

0.090909

0

null

0

null

0

1

0

55b3f38a36b36ad5c48a9910aaae79865f7775ae

17,152

py

Python

techniques/volumerec.py

lleonart1984/rendezvous

f8f5e73fa1ede7c33d8cf08548bce1475a0cc8da

[ "MIT" ]

null

techniques/volumerec.py

lleonart1984/rendezvous

f8f5e73fa1ede7c33d8cf08548bce1475a0cc8da

[ "MIT" ]

null

techniques/volumerec.py

lleonart1984/rendezvous

f8f5e73fa1ede7c33d8cf08548bce1475a0cc8da

[ "MIT" ]

null

from rendering.manager import * from rendering.scenes import * from rendering.training import * import random import glm import os import numpy as np import math __VOLUME_RECONSTRUCTION_SHADERS__ = os.path.dirname(__file__)+"/shaders/VR" compile_shader_sources(__VOLUME_RECONSTRUCTION_SHADERS__) class RayGenerator(R...

45.983914

136

0.65007

2,028

17,152

5.193787

0.08925

0.037216

0.061521

0.071774

0.743093

0.670179

0.640748

0.605241

0.564606

0.528719

0

0.017657

0.257055

17,152

373

137

45.983914

0.808915

0.016091

0

0.490741

0

0.009252

0

1

0.089506

false

0

0.024691

0

0.148148

0

null

0

null

0

1

0

55b6264d004418dd7f3a7bb277c12e4c208f7910

868

py

Python

basics/merge_sort.py

zi-NaN/algorithm_exercise

817916a62774145fe6387b715f76c5badbf99197

[ "MIT" ]

null

basics/merge_sort.py

zi-NaN/algorithm_exercise

817916a62774145fe6387b715f76c5badbf99197

[ "MIT" ]

null

basics/merge_sort.py

zi-NaN/algorithm_exercise

817916a62774145fe6387b715f76c5badbf99197

[ "MIT" ]

1

2018-11-21T05:14:07.000Z

def _merge_sort(arr:'list'): if len(arr) <= 1: return arr begin = 0 end = len(arr)-1 middle = (begin+end)//2 first = _merge_sort(arr[begin:middle+1]) second = _merge_sort(arr[middle+1:end+1]) # merge ptr1 = begin ptr2 = middle+1 ptr = 0 while(ptr1<middle...

24.111111

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null

0

null

0

1

0

55b7410f25633189b2b806b878e6eeb2f52c7ecc

679

py

Python

Data_Science/Python-Estatistica/stats-ex8.py

maledicente/cursos

00ace48da7e48b04485e4ca97b3ca9ba5f33a283

[ "MIT" ]

1

2021-05-03T22:59:38.000Z

Data_Science/Python-Estatistica/stats-ex8.py

maledicente/cursos

00ace48da7e48b04485e4ca97b3ca9ba5f33a283

[ "MIT" ]

null

Data_Science/Python-Estatistica/stats-ex8.py

maledicente/cursos

00ace48da7e48b04485e4ca97b3ca9ba5f33a283

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit def cinematica(t,s0,v0,a): s = s0 + v0*t +(a*t*t/2.0) return s t = np.linspace(0, 5, 500) s0 = 0.5 v0 = 2.0 a = 1.5 s_noise = 0.5 * np.random.normal(size=t.size) s = cinematica(t,s0,v0,a) sdata = s + s_noise coefs, pcov = ...

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null

0

null

0

1

0

55b93809c23b2f231b7acf1f7f0608d40af2f69c

1,828

py

Python

run.py

Gandor26/covid-open

50dcb773160edc16b107785a6bb32ae6f82fc9a7

[ "MIT" ]

12

2020-10-29T20:52:26.000Z

2021-11-10T14:11:59.000Z

run.py

Gandor26/covid-open

50dcb773160edc16b107785a6bb32ae6f82fc9a7

[ "MIT" ]

1

2021-02-16T09:48:39.000Z

2021-03-20T04:21:54.000Z

run.py

Gandor26/covid-open

50dcb773160edc16b107785a6bb32ae6f82fc9a7

[ "MIT" ]

1

2020-12-05T15:51:43.000Z

from typing import Optional, Dict from pathlib import Path from copy import deepcopy from tqdm import tqdm import torch as pt from torch import Tensor, nn from torch.optim import Adam def train( train_data: Dict[str, Tensor], valid_data: Dict[str, Tensor], model: nn.Module, optimizer: Adam, model...

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0.175439

0

null

0

null

0

1

0

55bb1301f3cfe948295e5ac6f60a5f73e88c2c17

975

py

Python

python/StatsUtil.py

cbaldassano/Parcellating-connectivity

a98142a6b0dc10e9cb6f6e603cb5334996d018ec

[ "Unlicense" ]

2

2020-08-17T21:06:28.000Z

2021-05-10T14:37:16.000Z

python/StatsUtil.py

cbaldassano/Parcellating-connectivity

a98142a6b0dc10e9cb6f6e603cb5334996d018ec

[ "Unlicense" ]

null

python/StatsUtil.py

cbaldassano/Parcellating-connectivity

a98142a6b0dc10e9cb6f6e603cb5334996d018ec

[ "Unlicense" ]

3

2018-07-06T17:08:47.000Z

2019-10-09T18:58:31.000Z

import numpy as np # Compute normalized mutual information between two parcellations z1 and z2 def NMI(z1, z2): N = len(z1) assert N == len(z2) p1 = np.bincount(z1)/N p1[p1 == 0] = 1 H1 = (-p1*np.log(p1)).sum() p2 = np.bincount(z2)/N p2[p2 == 0] = 1 H2 = (-p2*np.log(p2)).sum() joint = np.histogram2d(z1,z2,...

24.375

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0.185185

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null

0

null

0

1

0

55c01bcc5785d0af3f6437a91b853450fda2bb63

2,531

py

Python

gdesk/panels/imgview/quantiles.py

thocoo/gamma-desk

9cb63a65fe23e30e155b3beca862f369b7fa1b7e

[ "Apache-2.0" ]

null

gdesk/panels/imgview/quantiles.py

thocoo/gamma-desk

9cb63a65fe23e30e155b3beca862f369b7fa1b7e

[ "Apache-2.0" ]

8

2021-04-09T11:31:43.000Z

2021-06-09T09:07:18.000Z

gdesk/panels/imgview/quantiles.py

thocoo/gamma-desk

9cb63a65fe23e30e155b3beca862f369b7fa1b7e

[ "Apache-2.0" ]

null

import numpy as np from .fasthist import hist2d stdquant = np.ndarray(13) stdquant[0] = (0.0000316712418331200) #-4 sdev stdquant[1] = (0.0013498980316301000) #-3 sdev stdquant[2] = (0.0227501319481792000) #-2 sdev stdquant[3] = (0.05) stdquant[4] = (0.1586552539314570000) #-1 sdev or lsdev stdquant[5] = (0.25) ...

34.671233

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null

0

null

0

1

0

e94dc72d516776aab0f1e035f052d60121476db1

1,981

py

Python

create_h5ad.py

xmuyulab/DAISM-XMBD

916e18a1f111789a1c0bd3c1209d5a73813f3d3a

[ "MIT" ]

2

2021-11-05T00:43:16.000Z

2021-12-14T08:39:29.000Z

create_h5ad.py

biosyy/DAISM-XMBD

a76f976db8c33ef33f78533a5a2be50a85148e79

[ "MIT" ]

2

2021-01-14T19:40:46.000Z

2021-01-14T19:41:14.000Z

create_h5ad.py

biosyy/DAISM-XMBD

a76f976db8c33ef33f78533a5a2be50a85148e79

[ "MIT" ]

1

2021-08-30T15:11:45.000Z

############################## ## cread purified h5ad file ## ############################## # input: annotation table and the whole expression profile # output: purified h5ad file import os import pandas as pd import anndata import argparse import gc import numpy as np parser = argparse.ArgumentParser(description='...

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0.052632

0

null

0

null

0

1

0

e94e1af31de28cb3ee32e1feeddbef4991bf43d4

1,424

py

Python

FM_Tuning.py

RomanGutin/GEMSEC

cb2c26d4747cbd3d4c048787ca41665ef0e64155

[ "MIT" ]

null

FM_Tuning.py

RomanGutin/GEMSEC

cb2c26d4747cbd3d4c048787ca41665ef0e64155

[ "MIT" ]

null

FM_Tuning.py

RomanGutin/GEMSEC

cb2c26d4747cbd3d4c048787ca41665ef0e64155

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Nov 29 13:56:44 2018 @author: RomanGutin """ import pandas as pd import numpy as np #Frequency Tuning Loop amino_letter = ['A','R','D','N','C','E','Q','G','H','I','L','K','M','F','P','S','T','W','Y','V'] length_scores =[4,8,6,6,5,7,7,4,7,5,6,8,7,8,5,5,5,9,8,5] FM_df = pd.Dat...

30.297872

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3.472656

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0.053993

0.038245

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0

0.034305

0.18118

1,424

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0

0.074074

0

null

0

null

0

1

0

e94e9483c973c25abe2c71d5816ab7d9b774441e

692

py

Python

unified_api/brokers/kafka/consumer.py

campos537/deep-fashion-system

1de31dd6260cc967e1832cff63ae7e537a3a4e9d

[ "Unlicense" ]

1

2021-04-06T00:43:26.000Z

unified_api/brokers/kafka/consumer.py

campos537/deep-fashion-system

1de31dd6260cc967e1832cff63ae7e537a3a4e9d

[ "Unlicense" ]

null

unified_api/brokers/kafka/consumer.py

campos537/deep-fashion-system

1de31dd6260cc967e1832cff63ae7e537a3a4e9d

[ "Unlicense" ]

null

from kafka import KafkaConsumer class Consumer: def __init__(self, config): bootstrap_server = config.get( "bootstrap_server") + ":" + config.get("port") self.consumer = KafkaConsumer(config.get( "subscription_id_2"), bootstrap_servers=bootstrap_server, api_version=(0, 10), ...

34.6

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0.120301

0

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0.375

0

null

0

null

0

1

0

e94ef8f2fd09f77bca0e59bab465fb16e55c0ca1

2,159

py

Python

utils.py

mino2401200231/File-convertor

6fb438dc5f37bf0efd78e18e4848b4cdb0331343

[ "MIT" ]

null

utils.py

mino2401200231/File-convertor

6fb438dc5f37bf0efd78e18e4848b4cdb0331343

[ "MIT" ]

null

utils.py

mino2401200231/File-convertor

6fb438dc5f37bf0efd78e18e4848b4cdb0331343

[ "MIT" ]

2

2021-08-12T06:37:52.000Z

2021-09-05T13:03:36.000Z

# utilities import os from re import sub import uuid import subprocess # Image To Pdf import img2pdf # PDF To Images from pdf2image import convert_from_path # PDF To Word from pdf2docx import parse _BASE_DIR = os.getcwd() _BASE_DIR_FILE = os.path.join(_BASE_DIR, "files") def process_image_to_pdf(files, pdf_name...

26.329268

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0.09139

0.095166

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0.169184

0.145015

0.090634

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0

0.328125

0

null

0

null

0

1

0

e950fb1913401e7e3634e1210cfe24f9fddcf950

2,026

py

Python

screens/tasks/tasks.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

80

2017-11-13T21:58:55.000Z

2022-01-03T20:10:42.000Z

screens/tasks/tasks.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

null

screens/tasks/tasks.py

athrn/kognitivo

15822338778213c09ea654ec4e06a300129f9478

[ "Apache-2.0" ]

21

2017-11-14T09:47:41.000Z

2021-11-23T06:44:31.000Z

from kivy.uix.screenmanager import Screen from kivy.properties import StringProperty, ObjectProperty, NumericProperty, ListProperty, BooleanProperty from kivy.app import App from kivy.logger import Logger from library_widgets import TrackingScreenMixin from utils import import_kv import_kv(__file__) class TasksScr...

35.54386

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2,026

5.691304

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0.114591

0.036669

0.02903

0

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0.228036

2,026

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0

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false

0

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0

0.444444

0

null

0

null

0

1

0

e954754c8db1dbc45662c97eec7de33aed7d3e19

1,240

py

Python

imclassify/train_model.py

AdamSpannbauer/imclassify

27c24576ef6a2ed344cad7f568f7e4cdfe6ea0bd

[ "MIT" ]

null

imclassify/train_model.py

AdamSpannbauer/imclassify

27c24576ef6a2ed344cad7f568f7e4cdfe6ea0bd

[ "MIT" ]

null

imclassify/train_model.py

AdamSpannbauer/imclassify

27c24576ef6a2ed344cad7f568f7e4cdfe6ea0bd

[ "MIT" ]

null

"""Train logistic regression model on hdf5 features for classification Modified from: https://gurus.pyimagesearch.com/topic/transfer-learning-example-dogs-and-cats/ """ import pickle from sklearn.linear_model import LogisticRegression from sklearn.metrics import classification_report def train_model(h5py_db, mod...

37.575758

90

0.704839

167

1,240

5.08982

0.473054

0.056471

0.042353

0.032941

0

0.016732

0.180645

1,240

32

91

38.75

0.819882

0.43871

0

0.088989

0

1

0.076923

false

0

0.230769

0

0.307692

0.076923

0

null

0

null

0

1

0

e955b53af943d2f078f97e589977586caea5ae03

1,760

py

Python

Test/final/V5_baseline_CC_ref/aggregate.py

WangWenhao0716/ISC-Track1-Submission

3484142c0550262c90fc229e5e0ba719c58c592d

[ "MIT" ]

46

2021-10-31T08:02:51.000Z

2022-03-11T08:42:30.000Z

Test/final/V5_baseline_CC_ref/aggregate.py

WangWenhao0716/ISC-Track1-Submission

3484142c0550262c90fc229e5e0ba719c58c592d

[ "MIT" ]

3

2021-11-18T09:35:45.000Z

2022-03-31T01:20:34.000Z

Test/final/V5_baseline_CC_ref/aggregate.py

WangWenhao0716/ISC-Track1-Submission

3484142c0550262c90fc229e5e0ba719c58c592d

[ "MIT" ]

8

2021-12-01T08:02:08.000Z

2022-02-26T13:29:36.000Z

import pandas as pd v_4 = pd.read_csv('50/predictions_dev_queries_50k_normalized_exp.csv') temp = list(v_4['query_id']) v_4['query_id'] = list(v_4['reference_id']) v_4['reference_id'] = temp v_5 = pd.read_csv('ibn/predictions_dev_queries_50k_normalized_exp.csv') temp = list(v_5['query_id']) v_5['query_id'] = list(v_5...

31.428571

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1,760

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0

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false

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0

0.022222

0

null

0

null

0

1

0

e9569e3a4e8763ed40f2c7965c464907cae6ec57

744

py

Python

tutorial/flask-api-mongo/app/services/mail_service.py

carrenolg/python

7c1f0013d911177ce3bc2c5ea58b8e6e562b7282

[ "Apache-2.0" ]

null

tutorial/flask-api-mongo/app/services/mail_service.py

carrenolg/python

7c1f0013d911177ce3bc2c5ea58b8e6e562b7282

[ "Apache-2.0" ]

null

tutorial/flask-api-mongo/app/services/mail_service.py

carrenolg/python

7c1f0013d911177ce3bc2c5ea58b8e6e562b7282

[ "Apache-2.0" ]

null

from threading import Thread from flask_mail import Mail, Message from resources.errors import InternalServerError mail = Mail(app=None) app = None def initialize_mail_service(appiclation): global mail global app mail = Mail(app=appiclation) app = appiclation def send_async_email(app, msg, mail): ...

25.655172

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0.711022

94

744

5.489362

0.414894

0.089147

0.042636

0

0.201613

744

28

67

26.571429

0.868687

0

0.033602

0

1

0.142857

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

e9570255d9896891bde513fb7630bb22b041b8d0

18,541

py

Python

vxsandbox/resources/tests/test_http.py

praekeltfoundation/vumi-sandbox

1e2dfca8325ce98e52fe32a072749fe4cf7f448d

[ "BSD-3-Clause" ]

1

2021-05-26T08:38:28.000Z

vxsandbox/resources/tests/test_http.py

praekelt/vumi-sandbox

1e2dfca8325ce98e52fe32a072749fe4cf7f448d

[ "BSD-3-Clause" ]

24

2015-03-04T08:33:12.000Z

2016-08-18T07:57:12.000Z

vxsandbox/resources/tests/test_http.py

praekeltfoundation/vumi-sandbox

1e2dfca8325ce98e52fe32a072749fe4cf7f448d

[ "BSD-3-Clause" ]

null

import base64 import json from OpenSSL.SSL import ( VERIFY_PEER, VERIFY_FAIL_IF_NO_PEER_CERT, VERIFY_NONE, SSLv3_METHOD, SSLv23_METHOD, TLSv1_METHOD) from twisted.web.http_headers import Headers from twisted.internet.defer import inlineCallbacks, fail, succeed from vxsandbox.resources.http import ( HttpC...

42.138636

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0.644356

2,092

18,541

5.476577

0.118069

0.085537

0.038579

0.031422

0.680981

0.626167

0.607052

0.585668

0.552675

0.541067

0

0.004762

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80

42.234624

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0

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0

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0.112069

false

0

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0.002874

0.16954

0

null

0

null

0

1

0

e95a4fa6b39694c0762d544398c6a91dc4eb000f

722

py

Python

soundDB/__init__.py

gjoseph92/soundDB2

4d9cc93cc596a5089233f17b0b8be252f73e1224

[ "CC0-1.0" ]

3

2017-05-16T19:37:32.000Z

2020-03-29T21:54:33.000Z

soundDB/__init__.py

gjoseph92/soundDB2

4d9cc93cc596a5089233f17b0b8be252f73e1224

[ "CC0-1.0" ]

19

2016-12-02T20:47:24.000Z

2021-10-05T19:01:01.000Z

soundDB/__init__.py

gjoseph92/soundDB2

4d9cc93cc596a5089233f17b0b8be252f73e1224

[ "CC0-1.0" ]

2

2017-05-10T23:01:06.000Z

2019-12-27T19:49:29.000Z

from .accessor import Accessor from . import parsers import inspect def populateAccessors(): """ Find all filetype-specific Accessor subclasses in the parsers file (i.e. NVSPL, SRCID, etc.) and instantiate them. This way, one instance of each Accessor is added to the soundDB namespace under the name of th...

34.380952

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722

6.134831

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0

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119

36.1

0.914573

0.315789

0

1

0.1

false

0

0.3

0

0.5

0

null

0

null

0

1

0

e95c5e6fc88c9d5b12bafc54c0d0afb1690c36cf

556

py

Python

tests/testLoadMapFromString.py

skowronskij/OGCServer

3fd11438180944ffa43e315c6390e89437a28f4e

[ "BSD-3-Clause" ]

90

2015-04-30T22:13:14.000Z

2022-02-16T17:30:11.000Z

tests/testLoadMapFromString.py

skowronskij/OGCServer

3fd11438180944ffa43e315c6390e89437a28f4e

[ "BSD-3-Clause" ]

6

2019-09-09T06:07:27.000Z

2020-06-17T09:52:49.000Z

tests/testLoadMapFromString.py

skowronskij/OGCServer

3fd11438180944ffa43e315c6390e89437a28f4e

[ "BSD-3-Clause" ]

28

2015-05-12T09:08:17.000Z

2021-07-02T11:53:29.000Z

import nose import os from ogcserver.WMS import BaseWMSFactory def test_wms_capabilities(): base_path, tail = os.path.split(__file__) file_path = os.path.join(base_path, 'mapfile_encoding.xml') wms = BaseWMSFactory() with open(file_path) as f: settings = f.read() wms.loadXML(xmlstring=setti...

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0

0.3125

0

null

0

null

0

1

0

e95f809c079ce79cbabf21b0bd9fca926c8f6149

864

py

Python

setup.py

mikemalinowski/insomnia

ea637e5eba608eacd1731239f7ddf6bb91aacc9e

[ "MIT" ]

2

2019-02-28T09:58:55.000Z

2020-03-06T05:03:34.000Z

setup.py

mikemalinowski/insomnia

ea637e5eba608eacd1731239f7ddf6bb91aacc9e

[ "MIT" ]

null

setup.py

mikemalinowski/insomnia

ea637e5eba608eacd1731239f7ddf6bb91aacc9e

[ "MIT" ]

null

import setuptools try: with open('README.md', 'r') as fh: long_description = fh.read() except: long_description = '' setuptools.setup( name='blackout', version='1.0.4', author='Mike Malinowski', author_email='mike@twisted.space', description='A python package making it...

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99

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864

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0.728261

0.139665

0.070764

0.111732

0

0.004566

0.239583

864

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0

1

0

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0

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0

0.037037

0

null

0

null

0

1

0

e96093e48bfaf833c59e3c55fbafb9b3d90f3407

710

py

Python

src/hypermd/html/html.py

Riib11/HyperMD

d6921b701635356236b00d0a8794ab68d733ad59

[ "MIT" ]

null

src/hypermd/html/html.py

Riib11/HyperMD

d6921b701635356236b00d0a8794ab68d733ad59

[ "MIT" ]

null

src/hypermd/html/html.py

Riib11/HyperMD

d6921b701635356236b00d0a8794ab68d733ad59

[ "MIT" ]

null

class Element: def __init__(self, name, single): self.name = name self.single = single self.attrs = {} self.content = "" def set_attr(self, k, v): self.attrs[k] = v def get_attr(self, v): return self.attrs[k] def tohtml(self): attrs = (" " + " ".join([ "%s=\"%s\...

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0

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710

24

54

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0

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false

0

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0.409091

0

null

0

null

0

1

0

e960b0fabb4246bd94bb826b4cf1e4c34f2696b5

2,590

py

Python

vk_music/__main__.py

w1r2p1/vk_music

066fa623f87a6351846011c477cff2aad2943bc5

[ "MIT" ]

7

2015-01-26T08:46:12.000Z

2020-08-29T13:07:07.000Z

vk_music/__main__.py

w1r2p1/vk_music

066fa623f87a6351846011c477cff2aad2943bc5

[ "MIT" ]

3

2015-04-29T20:34:53.000Z

2015-07-08T08:43:47.000Z

vk_music/__main__.py

sashasimkin/vk_music

3814909ffd914103e80734e51b01dddb458b1bfe

[ "MIT" ]

4

2016-04-24T14:09:48.000Z

2019-11-23T14:50:46.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- from __future__ import print_function import os import argparse from subprocess import call from .vk_music import VkMusic from .exceptions import AlreadyRunningError from .defaults import SafeFsStorage def main(): parser = argparse.ArgumentParser() parser.add_argumen...

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0.163265

0.040816

0

null

0

null

0

1

0

e962ef78829cd251169298d5da18fd8a33cb94ba

950

py

Python

misc/convert.py

Fusion-Goettingen/ExtendedTargetTrackingToolbox

945ede661e9258a8f1ca8abc00e25727fedf3ac7

[ "MIT" ]

40

2018-07-30T13:07:23.000Z

2021-08-30T05:53:29.000Z

misc/convert.py

GitRooky/ExtendedTargetTrackingToolbox

945ede661e9258a8f1ca8abc00e25727fedf3ac7

[ "MIT" ]

null

misc/convert.py

GitRooky/ExtendedTargetTrackingToolbox

945ede661e9258a8f1ca8abc00e25727fedf3ac7

[ "MIT" ]

21

2018-10-03T11:50:00.000Z

2022-01-11T06:41:24.000Z

__author__ = "Jens Honer" __copyright__ = "Copyright 2018, Jens Honer Tracking Toolbox" __email__ = "-" __license__ = "mit" __version__ = "1.0" __status__ = "Prototype" import numpy as np _bbox_sign_factors = np.asarray( [ [1.0, 1.0], [0.0, 1.0], [-1.0, 1.0], [...

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0.548421

138

950

3.391304

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0.055556

0.070513

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0.194444

0.153846

0.068376

0

0.062409

0.274737

950

34

94

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0

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1

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0

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0

0.111111

0

null

0

null

0

1

0

e9667bd424694f5af16378d0dfcd7bc9fa58a7a6

3,356

py

Python

src/base/local_dataset.py

wenyushi451/Deep-SAD-PyTorch

168d31f538a50fb029739206994ea5517d907853

[ "MIT" ]

null

src/base/local_dataset.py

wenyushi451/Deep-SAD-PyTorch

168d31f538a50fb029739206994ea5517d907853

[ "MIT" ]

null

src/base/local_dataset.py

wenyushi451/Deep-SAD-PyTorch

168d31f538a50fb029739206994ea5517d907853

[ "MIT" ]

null

from torch.utils.data import Dataset from torchvision.transforms import transforms from sklearn.model_selection import train_test_split import os import glob import torch import numpy as np from PIL import Image import pdb class LocalDataset(Dataset): def __init__( self, root: str, datase...

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0.015504

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0.183832

0.119601

0.048726

0

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3,356

94

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0

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false

0

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0.223881

0

null

0

null

0

1

0

e96b4f43c95a1b4ce5857c21e88b3785232408aa

9,142

py

Python

main.py

Lmy0217/Flight

faf5045712c4d28e0ca3df408308a5e3b9bf8038

[ "MIT" ]

2

2019-03-31T01:42:29.000Z

2019-05-16T06:31:50.000Z

main.py

Lmy0217/Flight

faf5045712c4d28e0ca3df408308a5e3b9bf8038

[ "MIT" ]

1

2019-03-31T01:45:25.000Z

2019-04-17T05:46:35.000Z

main.py

Lmy0217/Flight

faf5045712c4d28e0ca3df408308a5e3b9bf8038

[ "MIT" ]

1

2019-03-31T01:42:34.000Z

#coding=utf-8 import tkinter as tk from tkinter import ttk from tkinter import scrolledtext from tkinter import messagebox as mBox from tkinter import filedialog import matplotlib matplotlib.use('TkAgg') from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import matplotlib.pyplot as plt import datetime i...

27.371257

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9,142

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0.032711

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9,142

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162

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0

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0

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0

0.121212

0

null

0

null

0

1

0

e96debb65a28b71e00c0a2a49cd0ca34ceacdd69

449

py

Python

api/compat.py

fancystats/api

298ae6d71fa37f649bbd61ad000767242f49a698

[ "MIT" ]

1

2015-03-20T20:35:22.000Z

api/compat.py

fancystats/api

298ae6d71fa37f649bbd61ad000767242f49a698

[ "MIT" ]

null

api/compat.py

fancystats/api

298ae6d71fa37f649bbd61ad000767242f49a698

[ "MIT" ]

null

""" Python 2/3 Compatibility ======================== Not sure we need to support anything but Python 2.7 at this point , but copied this module over from flask-peewee for the time being. """ import sys PY2 = sys.version_info[0] == 2 if PY2: text_type = unicode string_types = (str, unicode) unichr = u...

17.96

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0.639198

64

449

4.40625

0.6875

0.049645

0.099291

0

0.023324

0.23608

449

24

79

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0.798834

0.4098

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

e97022aba46b50c4fc79f34b4e0641ec360d25a6

3,254

bzl

Python

infra-sk/karma_test/index.bzl

bodymovin/skia-buildbot

1570e4e48ecb330750264d4ae6a875b5e49a37fe

[ "BSD-3-Clause" ]

null

infra-sk/karma_test/index.bzl

bodymovin/skia-buildbot

1570e4e48ecb330750264d4ae6a875b5e49a37fe

[ "BSD-3-Clause" ]

null

infra-sk/karma_test/index.bzl

bodymovin/skia-buildbot

1570e4e48ecb330750264d4ae6a875b5e49a37fe

[ "BSD-3-Clause" ]

null

"""This module defines the karma_test rule.""" load("@infra-sk_npm//@bazel/typescript:index.bzl", "ts_library") load("@infra-sk_npm//@bazel/rollup:index.bzl", "rollup_bundle") load("@infra-sk_npm//karma:index.bzl", _generated_karma_test = "karma_test") def karma_test(name, srcs, deps, entry_point = None): """Runs...

36.977273

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3,254

4.388636

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0.082859

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0.027965

0

0.001279

0.279348

3,254

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0.822175

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0

0.092593

0

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0.307849

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false

0

0.018519

0

null

0

null

0

1

0

e970a8957b84490bbe0b79a62e25d6fddc55f490

5,894

py

Python

stats/ClassicAnalyzerStats.py

arndff/fpl-rivals-tracker

311b932ab7c07b03c1676e5a971df13e652a1b7b

[ "Apache-2.0" ]

4

2019-02-06T10:42:50.000Z

2021-02-17T21:09:26.000Z

stats/ClassicAnalyzerStats.py

arndff/fpl-rivals-tracker

311b932ab7c07b03c1676e5a971df13e652a1b7b

[ "Apache-2.0" ]

null

stats/ClassicAnalyzerStats.py

arndff/fpl-rivals-tracker

311b932ab7c07b03c1676e5a971df13e652a1b7b

[ "Apache-2.0" ]

1

2021-02-17T21:09:27.000Z

from fileutils.fileutils import save_output_to_file, select_option_from_menu class ClassicAnalyzerStats: def __init__(self, data, current_event, output_file_name): self.__data = data self.__current_event = current_event self.__output_file_name = output_file_name self.__output = []...

33.68

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4.670073

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0.017505

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0.150376

0

null

0

null

0

1

0

e9736a918f48d6f382688f91eb8391428a99f968

2,893

py

Python

sarpy/io/product/base.py

spacefan/sarpy

2791af86b568c8a8560275aee426a4718d5a4606

[ "MIT" ]

119

2018-07-12T22:08:17.000Z

2022-03-24T12:11:39.000Z

sarpy/io/product/base.py

spacefan/sarpy

2791af86b568c8a8560275aee426a4718d5a4606

[ "MIT" ]

72

2018-03-29T15:57:37.000Z

2022-03-10T01:46:21.000Z

sarpy/io/product/base.py

spacefan/sarpy

2791af86b568c8a8560275aee426a4718d5a4606

[ "MIT" ]

54

2018-03-27T19:57:20.000Z

2022-03-09T20:53:11.000Z

""" Base common features for product readers """ __classification__ = "UNCLASSIFIED" __author__ = "Thomas McCullough" from typing import Sequence, List, Tuple, Union from sarpy.io.general.base import AbstractReader from sarpy.io.product.sidd1_elements.SIDD import SIDDType as SIDDType1 from sarpy.io.product.sidd2_el...

31.445652

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0

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0

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false

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null

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null

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