xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

097c50a96728dff3d3f2f66802f6917cbcd87b74

20,517

py

Python

scripts/all_to_all_analyzer.py

jweckstr/westmetro_scripts

a16385b00ac8d80f0068f348226ed89e2d0425a9

[ "MIT" ]

null

scripts/all_to_all_analyzer.py

jweckstr/westmetro_scripts

a16385b00ac8d80f0068f348226ed89e2d0425a9

[ "MIT" ]

null

scripts/all_to_all_analyzer.py

jweckstr/westmetro_scripts

a16385b00ac8d80f0068f348226ed89e2d0425a9

[ "MIT" ]

null

import sqlite3 import pandas import itertools import networkx as nx from gtfspy.gtfs import GTFS from gtfspy.util import timeit from scripts.all_to_all_settings import * def attach_database(conn, other_db_path, name="other"): cur = conn.cursor() cur.execute("ATTACH '%s' AS '%s'" % (str(other_db_path), name)...

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097cf870cfdf8eb690e3cbf5e80ead9f28adc1b0

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py

Python

tests/test_flow/test_snakemake_tutorial.py

flowsaber/flowsaber

7d68d085bbd9165d2bc0e0acd7826e70569c5fa3

[ "MIT" ]

31

2021-05-08T06:35:07.000Z

2022-03-05T05:58:24.000Z

tests/test_flow/test_snakemake_tutorial.py

flowsaber/flowsaber

7d68d085bbd9165d2bc0e0acd7826e70569c5fa3

[ "MIT" ]

3

2021-05-10T12:36:57.000Z

2021-05-15T14:01:15.000Z

tests/test_flow/test_snakemake_tutorial.py

zhqu1148980644/flowsaber

7d68d085bbd9165d2bc0e0acd7826e70569c5fa3

[ "MIT" ]

1

2021-03-09T06:18:17.000Z

from flowsaber.api import * def test_snakemake_workflow(): # EnvTask is the real dependent task when using conda/image option @shell def bwa(self, fa: File, fastq: File): # input will be automatically converted if has type annotation """bwa mem -t {self.config.cpu} {fa} {fastq} | samtools view -...

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null

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098125b6bdbfea383598e527bbb70b034cf26260

1,324

py

Python

py_ad_1_4.py

aisolab/con-par-python

e74cb9c30acfdd78c12c9f7aba039d16ed1f7e78

[ "MIT" ]

1

2022-02-20T03:14:50.000Z

py_ad_1_4.py

aisolab/con-par-python

e74cb9c30acfdd78c12c9f7aba039d16ed1f7e78

[ "MIT" ]

null

py_ad_1_4.py

aisolab/con-par-python

e74cb9c30acfdd78c12c9f7aba039d16ed1f7e78

[ "MIT" ]

null

""" Section 1 Multithreading - Thread (2) - Daemon, Join Keyword - DaemonThread, Join """ """ DaemonThread(데몬스레드) (1). 백그라운드에서 실행 (2). 메인스레드 종료시 즉시 종료 (서브 스레드의 경우는 메인 스레드와 상관없이 자기 작업을 끝까지 수행함.) (3). 주로 백그라운드 무한 대기 이벤트 발생 실행하는 부분 담당 -> JVM(가비지 컬렉션), 자동 저장 (4). 일반 스레드는 작업 종료시까지 실행 """ import logging import threading # 스...

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09821682a814779b24686f7214f05d5600259f1a

287

py

Python

listTest.py

diallog/GCPpy

dabd55ece1c12c1a390a228cd04cb7eb110e564b

[ "Unlicense" ]

null

listTest.py

diallog/GCPpy

dabd55ece1c12c1a390a228cd04cb7eb110e564b

[ "Unlicense" ]

null

listTest.py

diallog/GCPpy

dabd55ece1c12c1a390a228cd04cb7eb110e564b

[ "Unlicense" ]

null

#!/usr/bin/env python3 # PURPOSE: studying function side effects import os os.system('clear') orgList = [5, 3, 2, 1, 4] def sumList(myList): for i in range(1, len(myList)): myList[i] += myList[i-1] return myList[len(myList)-1] print(sumList(orgList)) print(orgList)

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09828a4b8ceea5e0df2ba0674a51b0b2f6523586

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py

Python

class/pandas_class.py

Danigore25/python2

de6d582fcc35107aa21a1bd73fdf04a0d4209d31

[ "MIT" ]

null

class/pandas_class.py

Danigore25/python2

de6d582fcc35107aa21a1bd73fdf04a0d4209d31

[ "MIT" ]

null

class/pandas_class.py

Danigore25/python2

de6d582fcc35107aa21a1bd73fdf04a0d4209d31

[ "MIT" ]

2

2021-09-07T00:30:49.000Z

2021-10-19T15:14:54.000Z

import pandas as pd import numpy as np serie = pd.Series(['a', 'b', 'c', 'd', 'e'], index=['a', 'b', 'c', 'd', 'e'], name="Ejemplo Serie") print(serie) ecoli_matraz = pd.Series([0.1, 0.15, 0.19, 0.5, 0.9, 1.4, 1.8, 2.1, 2.3], ...

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null

0

1

0

0986c2b4d466c529bcf1de02d35647e1f00797b3

6,209

py

Python

scripts/datasets/mit67_install.py

cclauss/archai

a5fb8f937f7f1319e3204120803b2a045e9f768b

[ "MIT" ]

344

2020-06-12T22:12:56.000Z

2022-03-29T06:48:20.000Z

scripts/datasets/mit67_install.py

cclauss/archai

a5fb8f937f7f1319e3204120803b2a045e9f768b

[ "MIT" ]

29

2020-06-13T19:56:49.000Z

2022-03-30T20:26:48.000Z

scripts/datasets/mit67_install.py

cclauss/archai

a5fb8f937f7f1319e3204120803b2a045e9f768b

[ "MIT" ]

68

2020-06-12T19:32:43.000Z

2022-03-05T06:58:40.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Script to prepare mit67 dataset for pytorch dataloader. """ from typing import List, Dict, Tuple, Union, Optional import os import pdb import time import argparse import os import tempfile import requests from torchvision.datasets.utils imp...

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713

py

Python

src/python/T0/WMBS/Oracle/RunConfig/InsertRecoReleaseConfig.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

6

2016-03-09T14:36:19.000Z

2021-07-27T01:28:00.000Z

src/python/T0/WMBS/Oracle/RunConfig/InsertRecoReleaseConfig.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

193

2015-01-07T21:03:43.000Z

2022-03-31T12:22:18.000Z

src/python/T0/WMBS/Oracle/RunConfig/InsertRecoReleaseConfig.py

silviodonato/T0

a093729d08b31175ed35cd20e889bd7094ce152a

[ "Apache-2.0" ]

36

2015-01-28T19:01:54.000Z

2021-12-15T17:18:20.000Z

""" _InsertRecoReleaseConfig_ Oracle implementation of InsertRecoReleaseConfig """ from WMCore.Database.DBFormatter import DBFormatter class InsertRecoReleaseConfig(DBFormatter): def execute(self, binds, conn = None, transaction = False): sql = """INSERT INTO reco_release_config (RUN_I...

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null

0

null

0

1

0

0988ffb2a91dd9ac6ea127ee5939338c9d7b530e

1,652

py

Python

split_wav.py

tanacchi/sound-dataset-generator

a74363c35652dbb7e7cb2dfd390cf89302f3827e

[ "MIT" ]

1

2020-12-02T02:31:33.000Z

split_wav.py

tanacchi/sound_dataset_generator

a74363c35652dbb7e7cb2dfd390cf89302f3827e

[ "MIT" ]

null

split_wav.py

tanacchi/sound_dataset_generator

a74363c35652dbb7e7cb2dfd390cf89302f3827e

[ "MIT" ]

null

import wave import os import sys from glob import glob import argparse parser = argparse.ArgumentParser() parser.add_argument("--length", type=int, default=30) parser.add_argument("--offset", type=int, default=15) args = parser.parse_args() unit_time_length = args.length start_time_offset = args.offset output_dir =...

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null

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098a8775723a6e3a315440de72e96cd1befcdb31

2,454

py

Python

ex075A.py

gabrieleliasdev/python-cev

45390963b5112a982e673f6a6866da422bf9ae6d

[ "MIT" ]

null

ex075A.py

gabrieleliasdev/python-cev

45390963b5112a982e673f6a6866da422bf9ae6d

[ "MIT" ]

null

ex075A.py

gabrieleliasdev/python-cev

45390963b5112a982e673f6a6866da422bf9ae6d

[ "MIT" ]

null

from tkinter import * janela = Tk() lista = [] texto1 = StringVar() texto2 = StringVar() texto3 = StringVar() texto4 = StringVar() #--------------------- PROCESSAMENTO DO COMANDO ------ def click_bt1(): lista.append(int(et1.get())) lista.append(int(et2.get())) lista.append(int(et3.get())) lista.appe...

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0

null

0

null

0

1

0

098d7c6c55f7415535fddaa88a483e5bc3bc96a3

650

py

Python

Python/[4 kyu] Sum of Intervals.py

KonstantinosAng/CodeWars

9ec9da9ed95b47b9656a5ecf77f486230fd15e3a

[ "MIT" ]

null

Python/[4 kyu] Sum of Intervals.py

KonstantinosAng/CodeWars

9ec9da9ed95b47b9656a5ecf77f486230fd15e3a

[ "MIT" ]

null

Python/[4 kyu] Sum of Intervals.py

KonstantinosAng/CodeWars

9ec9da9ed95b47b9656a5ecf77f486230fd15e3a

[ "MIT" ]

null

# More details on this kata # https://www.codewars.com/kata/52b7ed099cdc285c300001cd def sum_of_intervals(intervals): s, ret = [list(x) for x in sorted(intervals)], 0 if len(s) == 1: return abs(s[0][0] - s[0][1]) for i in range(len(s)): if i + 1 > len(s) - 1: break if s[i][0] <= s[i + 1][0]...

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0

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0

null

0

null

0

1

0

0990bfe14e23c72b11bf2defe5e3302294dbdd91

11,197

py

Python

unit_list.py

guliverza/AdditionalPylons

37336dcd1678c6cdfa22d881c2178ba65cb1fd61

[ "MIT" ]

null

unit_list.py

guliverza/AdditionalPylons

37336dcd1678c6cdfa22d881c2178ba65cb1fd61

[ "MIT" ]

null

unit_list.py

guliverza/AdditionalPylons

37336dcd1678c6cdfa22d881c2178ba65cb1fd61

[ "MIT" ]

null

import sc2 from sc2.constants import * #our own classes from unit_counters import UnitCounter from warpprism import WarpPrism as wpControl from immortal import Immortal as imControl from stalker import Stalker as skControl from zealot import Zealot as zlControl from sentry import Sentry as snControl from ade...

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null

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null

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1

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09912f75595653975287507558557321b7720adb

619

py

Python

src/lib/bver/Versioned/Addon.py

backboneHQ/bver

c3c929442fadb28a3f39d0ddec19fb2dfc7a4732

[ "MIT" ]

1

2021-09-09T01:22:37.000Z

src/lib/bver/Versioned/Addon.py

backboneHQ/bver

c3c929442fadb28a3f39d0ddec19fb2dfc7a4732

[ "MIT" ]

null

src/lib/bver/Versioned/Addon.py

backboneHQ/bver

c3c929442fadb28a3f39d0ddec19fb2dfc7a4732

[ "MIT" ]

1

2021-09-03T18:45:15.000Z

from .Versioned import Versioned class Addon(Versioned): """ Implements the addon support to the versioned. """ def __init__(self, *args, **kwargs): """ Create an addon object. """ super(Addon, self).__init__(*args, **kwargs) # setting default options s...

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09928e74c332f7b48d51ab003cf566958a601031

5,988

py

Python

backend/filing/admin.py

bhardwajRahul/sec-filings-app

8cf7f5956717db8fee1f9a20445986ad9cb831ca

[ "MIT" ]

36

2020-12-04T08:16:38.000Z

2022-03-22T02:30:49.000Z

backend/filing/admin.py

bhardwajRahul/sec-filings-app

8cf7f5956717db8fee1f9a20445986ad9cb831ca

[ "MIT" ]

1

2021-10-14T22:20:40.000Z

2021-10-17T17:29:50.000Z

backend/filing/admin.py

briancaffey/sec-filings-app

8cf7f5956717db8fee1f9a20445986ad9cb831ca

[ "MIT" ]

16

2020-11-30T18:46:51.000Z

2022-01-20T23:01:58.000Z

from datetime import date from django.contrib import admin, messages from django.core.management import call_command from django.utils.html import format_html from django.http import HttpResponseRedirect from django.urls import path # Register your models here. from .models import ( FilingList, Filing, H...

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null

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0996f3d1f1ac8a9ea6f99a214f2486805b79d23f

3,742

py

Python

__init__.py

FabienBasset/evolucare-skill

4ecce1615cb11d72196ea745d2753fec19117b12

[ "Apache-2.0" ]

null

__init__.py

FabienBasset/evolucare-skill

4ecce1615cb11d72196ea745d2753fec19117b12

[ "Apache-2.0" ]

null

__init__.py

FabienBasset/evolucare-skill

4ecce1615cb11d72196ea745d2753fec19117b12

[ "Apache-2.0" ]

null

# TODO: Add an appropriate license to your skill before publishing. See # the LICENSE file for more information. # Below is the list of outside modules you'll be using in your skill. # They might be built-in to Python, from mycroft-core or from external # libraries. If you use an external library, be sure to include...

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null

0

null

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0997cd0a89022a9406ffd19fb23a90e8f3cec543

300

py

Python

web/searching.py

Kabanosk/JAVRIS

f3fac115eb537e689c59bd093da34e7f0b34a035

[ "MIT" ]

null

web/searching.py

Kabanosk/JAVRIS

f3fac115eb537e689c59bd093da34e7f0b34a035

[ "MIT" ]

null

web/searching.py

Kabanosk/JAVRIS

f3fac115eb537e689c59bd093da34e7f0b34a035

[ "MIT" ]

null

import webbrowser as web from bs4 import BeautifulSoup STARTING_URL = 'https://www.google.com/search?q=' def get_first_website(phrase): phrase_split = phrase.split() phrase_url = '+'.join(phrase_split) search_url = STARTING_URL + phrase_url web.open_new_tab(search_url)

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null

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0

099c6d4626feec61b7b00c6c857042abd77c6c2a

2,039

py

Python

ai_script_writer.py

FLWL/aoc-ai-parser

2e08fc7b0909579aced5a84bda3645dbe8834d39

[ "MIT" ]

10

2019-03-17T00:48:35.000Z

2022-02-06T18:15:48.000Z

ai_script_writer.py

FLWL/aoc-ai-parser

2e08fc7b0909579aced5a84bda3645dbe8834d39

[ "MIT" ]

null

ai_script_writer.py

FLWL/aoc-ai-parser

2e08fc7b0909579aced5a84bda3645dbe8834d39

[ "MIT" ]

1

2022-01-16T12:38:52.000Z

from ai_constants import * import ai_generator def get_tab_string(tabment): return '\t' * tabment def express_node(cur_node, tabment = 0): child_nodes = cur_node.children if cur_node.type == 'DEFRULE': return "(defrule\n" \ + express_node(child_nodes[0], tabment + 1) \ ...

30.432836

91

0.650809

262

2,039

4.698473

0.221374

0.062551

0.178716

0.061738

0.415922

0.3355

0.243704

0.207961

0

0.003901

0.245709

2,039

66

92

30.893939

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0.026974

0

0.130435

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0.047451

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false

0

0.043478

0.021739

0.282609

0.021739

0

null

0

null

0

1

0

099d1dd35cd095ae208ec87e7df60676dd935b0a

1,316

py

Python

euler-148.py

simonolander/euler

4d7c4cd9333201cd0065419a511f111b6d75d90c

[ "MIT" ]

null

euler-148.py

simonolander/euler

4d7c4cd9333201cd0065419a511f111b6d75d90c

[ "MIT" ]

null

euler-148.py

simonolander/euler

4d7c4cd9333201cd0065419a511f111b6d75d90c

[ "MIT" ]

null

import numpy as np from tabulate import tabulate np.set_printoptions(linewidth=400, threshold=100000) def product(gen): ans = 1 for g in gen: ans *= g + 1 return ans def count_divs_pow(p): if p == 0 or p == 1: return 0 else: full_size = 7**(p-1) * (7**(p-1) - 1) // 2 ...

19.939394

70

0.506839

215

1,316

3.046512

0.293023

0.042748

0.036641

0.039695

0.036641

0

0.076923

0.338146

1,316

65

71

20.246154

0.675086

0

0.104167

0

0.015198

0

1

0.145833

false

0

0.041667

0.020833

0.333333

0.083333

0

null

0

null

0

1

0

099e3f2b24bd01bfd5b7e1350533a5d17bf7ffdd

1,695

py

Python

abandoned-ideas/yml-generator.py

HenryZheng1/sengrep-cli-py

89d2ffad813706a534290f248220f0d32aeb4c3c

[ "Apache-2.0" ]

null

abandoned-ideas/yml-generator.py

HenryZheng1/sengrep-cli-py

89d2ffad813706a534290f248220f0d32aeb4c3c

[ "Apache-2.0" ]

null

abandoned-ideas/yml-generator.py

HenryZheng1/sengrep-cli-py

89d2ffad813706a534290f248220f0d32aeb4c3c

[ "Apache-2.0" ]

2

2021-07-23T16:46:16.000Z

2021-07-30T02:59:43.000Z

from csv import reader import yaml import json def splitrow(row, DELIMETER): x = row.split(DELIMETER) return ([] if row == '' else x) def get_data_from_csv(settings, DELIMETER = '|'): rules = [] with open(settings['CSV_FILENAME'], 'r') as csv_file: csv_reader = reader(csv_file) for r...

35.3125

150

0.60118

207

1,695

4.724638

0.323672

0.056237

0.04908

0.055215

0.205521

0.160532

0.132924

0

0.005752

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1,695

47

151

36.06383

0.797864

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0.100945

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0

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0

0.257143

0

null

0

null

0

1

0

099e6785d5350ed75115c74f1a4e9bf333839d99

4,018

py

Python

linearizer/utils.py

Max1993Liu/Linearizer

739c47c0d98d262a0bc962a450729bcf83c61212

[ "MIT" ]

null

linearizer/utils.py

Max1993Liu/Linearizer

739c47c0d98d262a0bc962a450729bcf83c61212

[ "MIT" ]

null

linearizer/utils.py

Max1993Liu/Linearizer

739c47c0d98d262a0bc962a450729bcf83c61212

[ "MIT" ]

null

import numpy as np import pandas as pd from types import FunctionType import warnings from .transform import BaseTransformer def drop_na(x, y, according='both'): """ Drop the values in both x and y if the element in `according` is missing ex. drop_na([1, 2, np.nan], [1, 2, 3], 'x') => [1, 2], [1, 2] ...

31.637795

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0.612245

561

4,018

4.26025

0.253119

0.007531

0.020084

0.021339

0.250209

0.220084

0.153975

0.127197

0.099582

0

0.009174

0.267546

4,018

126

107

31.888889

0.802922

0.245893

0

0.078947

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1

0.105263

false

0

0.065789

0.013158

0.236842

0

null

0

null

0

1

0

09a082c5b766d52ac4bd284843a07b1bfbf38eba

325

py

Python

testings.py

GYosifov88/Python-Fundamentals

b46ba2822bd2dac6ff46830c6a520e559b448442

[ "MIT" ]

null

testings.py

GYosifov88/Python-Fundamentals

b46ba2822bd2dac6ff46830c6a520e559b448442

[ "MIT" ]

null

testings.py

GYosifov88/Python-Fundamentals

b46ba2822bd2dac6ff46830c6a520e559b448442

[ "MIT" ]

null

class Object: def __init__(self, type): self.type = type def square(self, a, b): if self.type == 'square': return a * b if self.type == 'triangle': return (a * b) / 2 vid = input() object = Object(vid) a = int(input()) b = int(input()) print(f'{object.square(a,b...

18.055556

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0.52

46

325

3.586957

0.391304

0.193939

0.048485

0.09697

0.145455

0

0.004464

0.310769

325

17

36

19.117647

0.732143

0

0.104615

0

1

0.153846

false

0

0.384615

0.076923

0

null

0

null

0

1

0

09a0e0698bb4f209bcf75379d2f58d655b33426a

809

py

Python

argdeco/__main__.py

klorenz/python-argdeco

eb614d63430c5da68a972bdc40f8a1541070089d

[ "MIT" ]

null

argdeco/__main__.py

klorenz/python-argdeco

eb614d63430c5da68a972bdc40f8a1541070089d

[ "MIT" ]

null

argdeco/__main__.py

klorenz/python-argdeco

eb614d63430c5da68a972bdc40f8a1541070089d

[ "MIT" ]

null

from .main import Main from .arguments import arg from textwrap import dedent main = Main() command = main.command @command('install-bash-completions', arg('--dest', help="destination file. Typically ~/.bashrc or ~/.profile", default="~/.bashrc"), arg('script_name'), ) def install_bash_completions(dest, scr...

28.892857

100

0.700865

100

809

5.5

0.31

0.163636

0.101818

0.08

0.614545

0.494545

0.341818

0

0.15204

809

27

101

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0.801749

0

0.181818

0

0.352287

0.061805

0

1

0.090909

false

0

0.136364

0

0.227273

0.045455

0

null

0

null

0

1

0

09a25fafbbc8341875cf49512a6963ebb67af9a9

1,092

py

Python

working-with-data/part1/reading-and-writing-text-files.py

LucasHelal/data-science

9b243be1dea23a521e6ebb49dc358708a9b17dbd

[ "MIT" ]

null

working-with-data/part1/reading-and-writing-text-files.py

LucasHelal/data-science

9b243be1dea23a521e6ebb49dc358708a9b17dbd

[ "MIT" ]

null

working-with-data/part1/reading-and-writing-text-files.py

LucasHelal/data-science

9b243be1dea23a521e6ebb49dc358708a9b17dbd

[ "MIT" ]

null

import sys import pandas as pd # Can open csv files as a dataframe dframe = pd.read_csv('lec25.csv') # Can also use read_table with ',' as a delimiter dframe = pd.read_table('lec25.csv', sep=',') # If we dont want the header to be the first row dframe = pd.read_csv('lec25.csv', header=None) # We can also indicate a...

28.736842

79

0.739011

199

1,092

4

0.492462

0.030151

0.055276

0.052764

0.187186

0.16206

0.067839

0

0.014254

0.164835

1,092

37

80

29.513514

0.858553

0.636447

0

0.149215

0

1

0

false

0

0.2

0

0.2

0

null

0

null

0

1

0

09a2b27d6e9143175c3eaab5d912857ca2f60085

1,428

py

Python

comments/urls.py

ggetzie/greaterdebater

fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5

[ "MIT" ]

null

comments/urls.py

ggetzie/greaterdebater

fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5

[ "MIT" ]

1

2020-05-02T02:03:08.000Z

comments/urls.py

ggetzie/greaterdebater

fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5

[ "MIT" ]

null

from django.conf.urls import patterns from comments.views import CommentDebateList # This url file is included from items.urls with the prefix /comments/ urlpatterns = patterns('', # Add a comment to a topic (r'^(?P<topic_id>\d+)/add/$', 'comments.views.add'), ...

42

93

0.464286

142

1,428

4.577465

0.450704

0.14

0.041538

0.027692

0.067692

0

0.00241

0.418768

1,428

33

94

43.272727

0.780723

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0

0.293852

0.203436

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

09a4876d8faaee60c05b563c48e7b9207133b300

2,022

py

Python

src/engine/app.py

vxlk/stoinks

afea92824a21d203098dd41137957f2343ec363d

[ "MIT" ]

1

2020-12-30T23:54:58.000Z

src/engine/app.py

vxlk/stoinks

afea92824a21d203098dd41137957f2343ec363d

[ "MIT" ]

null

src/engine/app.py

vxlk/stoinks

afea92824a21d203098dd41137957f2343ec363d

[ "MIT" ]

null

import sys from threading import Thread from PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * from pyqtconsole.console import PythonConsole from view.console import Console from view.gui_dock import * from util.logger import * from model.engine import * # clear logs logge...

27.69863

67

0.787834

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2,022

7.275229

0.481651

0.031526

0.039723

0

0.008479

0.125124

2,022

73

68

27.69863

0.888072

0.137488

0

0.022864

0

1

0

false

0

0.217391

0

0.217391

0

null

0

null

0

1

0

09a65708ef251f13b9781f1e9b250a16f7eb5521

8,710

py

Python

Agents/agent.py

TylerJamesMalloy/bullet3

e357853815c1e0297683218273de79e586b574c8

[ "Zlib" ]

null

Agents/agent.py

TylerJamesMalloy/bullet3

e357853815c1e0297683218273de79e586b574c8

[ "Zlib" ]

null

Agents/agent.py

TylerJamesMalloy/bullet3

e357853815c1e0297683218273de79e586b574c8

[ "Zlib" ]

null

import logging, os, time, multiprocessing, sys, signal logging.disable(logging.WARNING) os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" import tensorflow as tf import gym import pybullet, pybullet_envs, pybullet_data import numpy as np import pandas as pd from stable_baselines.sac.policies import MlpPolicy from stable_ba...

46.57754

186

0.666475

1,083

8,710

5.036934

0.171745

0.054445

0.026398

0.032997

0.520257

0.492759

0.474427

0.458845

0.426581

0

0.010124

0.2062

8,710

186

187

46.827957

0.778855

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0

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0

1

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false

0

0.075188

0

0.105263

0.052632

0

null

0

null

0

1

0

09a9810fc20f0e86e48fafc4f5dbb9adb6c5702a

1,274

py

Python

ToDoApp/todo/urls.py

akmcinto/ToDoApp

2176294c1cfc33a2e651f613f23922a2c8879a84

[ "Apache-2.0" ]

null

ToDoApp/todo/urls.py

akmcinto/ToDoApp

2176294c1cfc33a2e651f613f23922a2c8879a84

[ "Apache-2.0" ]

null

ToDoApp/todo/urls.py

akmcinto/ToDoApp

2176294c1cfc33a2e651f613f23922a2c8879a84

[ "Apache-2.0" ]

null

""" Copyright 2016 Andrea McIntosh Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to i...

39.8125

79

0.689953

188

1,274

4.62766

0.515957

0.041379

0.055172

0.036782

0.02069

0

0.011194

0.158556

1,274

31

80

41.096774

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0.360294

0.148529

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

09a9fcdb559137e2907018a24bc26f28eb5ecd69

81,886

py

Python

froi/main.py

sunshineDrizzle/FreeROI

e2bae1a19835667988e9dbe4a1a88e5b2778d819

[ "BSD-3-Clause" ]

13

2016-02-12T05:10:23.000Z

2021-01-13T01:40:12.000Z

froi/main.py

sunshineDrizzle/FreeROI

e2bae1a19835667988e9dbe4a1a88e5b2778d819

[ "BSD-3-Clause" ]

14

2015-05-04T05:56:45.000Z

2021-01-24T11:49:13.000Z

froi/main.py

sunshineDrizzle/FreeROI

e2bae1a19835667988e9dbe4a1a88e5b2778d819

[ "BSD-3-Clause" ]

8

2016-03-07T06:29:51.000Z

2017-10-30T13:59:27.000Z

# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: """Graphic User Interface.""" import sys import os import glob import ConfigParser from PyQt4.QtCore import * from PyQt4.QtGui import * from version import __version__ from algorithm.imtool import label...

46.97992

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0.591078

8,508

81,886

5.415609

0.084391

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0.030602

0.013369

0.546532

0.449822

0.367198

0.31218

0.251519

0.219919

0

0.003673

0.301737

81,886

1,742

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0.802162

0.07624

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0.087442

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0

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false

0

0.037462

0

0.120031

0

null

0

null

0

1

0

09abc457e5bd1caa1d8046d6ee92bbfdae5edefe

1,475

py

Python

backend/naki/naki/model/digital_item.py

iimcz/emod

432094c020247597a94e95f76cc524c20b68b685

[ "MIT" ]

null

backend/naki/naki/model/digital_item.py

iimcz/emod

432094c020247597a94e95f76cc524c20b68b685

[ "MIT" ]

6

2021-03-08T23:32:15.000Z

2022-02-26T08:11:38.000Z

backend/naki/naki/model/digital_item.py

iimcz/emod

432094c020247597a94e95f76cc524c20b68b685

[ "MIT" ]

null

import colander from sqlalchemy import Column, ForeignKey from sqlalchemy.types import DateTime, Integer, Unicode, UnicodeText from naki.model.meta import Base class DigitalItem(Base): __tablename__ = "tDigitalItem" id_item = Column('sID_Item', Unicode(64), primary_key = True, info={'colanderalchemy': {'m...

34.302326

110

0.602034

165

1,475

5.206061

0.30303

0.055879

0.046566

0.032596

0

0.006452

0.264407

1,475

42

111

35.119048

0.785253

0.03661

0

0.137518

0

1

0.090909

false

0

0.121212

0.030303

0.484848

0

null

0

null

0

1

0

09ae724cdc803309af6a236723605a5ad5b9d098

4,389

py

Python

z3/labeled_dice.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

279

2015-01-10T09:55:35.000Z

2022-03-28T02:34:03.000Z

z3/labeled_dice.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

10

2017-10-05T15:48:50.000Z

2021-09-20T12:06:52.000Z

z3/labeled_dice.py

Wikunia/hakank

030bc928d2efe8dcbc5118bda3f8ae9575d0fd13

[ "MIT" ]

83

2015-01-20T03:44:00.000Z

2022-03-13T23:53:06.000Z

#!/usr/bin/python -u # -*- coding: latin-1 -*- # # Labeled dice and Building block problems in Z3 # # * Labeled dice # # From Jim Orlin 'Colored letters, labeled dice: a logic puzzle' # http://jimorlin.wordpress.com/2009/02/17/colored-letters-labeled-dice-a-logic-puzzle/ # ''' # My daughter Jenn bough a puzzle...

26.281437

99

0.549784

790

4,389

3.003797

0.275949

0.029499

0.007585

0.010114

0.245259

0.212811

0.196797

0.170249

0.13485

0

0.015077

0.259512

4,389

166

100

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false

0

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0.156627

0

null

0

null

0

1

0

09b071406342703275a6a5f8df9c8ce73299146c

1,602

py

Python

scripts/ai/mle/test_ai.py

AlexGustafsson/word-frequencies

21a73dc1e56770f5563f928b7e3943874c995bd9

[ "Unlicense" ]

null

scripts/ai/mle/test_ai.py

AlexGustafsson/word-frequencies

21a73dc1e56770f5563f928b7e3943874c995bd9

[ "Unlicense" ]

null

scripts/ai/mle/test_ai.py

AlexGustafsson/word-frequencies

21a73dc1e56770f5563f928b7e3943874c995bd9

[ "Unlicense" ]

null

import pickle import random from argparse import ArgumentParser # Requires NLTK to be installed: # python3 -m pip install nltk # python3 -c 'import nltk;nltk.download("punkt")' # May be slow at first start due to NLTK preparing its dependencies from nltk.tokenize.treebank import TreebankWordDetokenizer from nltk.lm im...

32.693878

115

0.692884

210

1,602

5.214286

0.495238

0.024658

0.046575

0.052055

0.071233

0

0.006197

0.194132

1,602

48

116

33.375

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0

0.177156

0

1

0.071429

false

0

0.178571

0

0.285714

0.071429

0

null

0

null

0

1

0

09b38cadc8a5b66d765f9f62596709fa7325c773

7,529

py

Python

lib/common/render_utils.py

YuliangXiu/ICON

ece5a09aa2d56aec28017430e65a0352622a0f30

[ "Intel" ]

486

2021-12-16T03:13:31.000Z

2022-03-30T04:26:48.000Z

lib/common/render_utils.py

YuliangXiu/ICON

ece5a09aa2d56aec28017430e65a0352622a0f30

[ "Intel" ]

33

2021-12-30T07:28:10.000Z

2022-03-30T08:04:06.000Z

lib/common/render_utils.py

YuliangXiu/ICON

ece5a09aa2d56aec28017430e65a0352622a0f30

[ "Intel" ]

38

2021-12-17T10:55:01.000Z

2022-03-30T23:25:39.000Z

# -*- coding: utf-8 -*- # Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is # holder of all proprietary rights on this computer program. # You can only use this computer program if you have closed # a license agreement with MPG or you get the right to use the computer # program from someone who i...

33.914414

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0.592376

919

7,529

4.723613

0.311208

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0.014513

0.003686

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0.10182

0.096752

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0

0.023652

0.298048

7,529

221

80

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null

0

null

0

1

0

09b41443c1ba334ee6ad9dc77418ea29db20354e

456

py

Python

merge_string.py

mrillusi0n/compete

ac798e2b1ff27abddd8bebf113d079228f038e56

[ "MIT" ]

null

merge_string.py

mrillusi0n/compete

ac798e2b1ff27abddd8bebf113d079228f038e56

[ "MIT" ]

null

merge_string.py

mrillusi0n/compete

ac798e2b1ff27abddd8bebf113d079228f038e56

[ "MIT" ]

null

######################### AABCAAADA from collections import OrderedDict def remove_duplicates(block): """ >>> remove_duplicates('AAB') >>> 'AB' """ freq = OrderedDict() for c in block: freq[c] = freq.get(c, 0) + 1 return ''.join(freq.keys()) def solve(text, block_size): re...

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null

0

null

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1

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09b5d250f780316cd9c06c021e66be29bc76a8ed

884

py

Python

tests/views/test_is_component_field_model_or_unicorn_field.py

nerdoc/django-unicorn

e512b8f64f5c276a78127db9a05d9d5c042232d5

[ "MIT" ]

1

2021-12-21T16:20:49.000Z

tests/views/test_is_component_field_model_or_unicorn_field.py

teury/django-unicorn

5e9142b8a7e13b862ece419d567e805cc783b517

[ "MIT" ]

null

tests/views/test_is_component_field_model_or_unicorn_field.py

teury/django-unicorn

5e9142b8a7e13b862ece419d567e805cc783b517

[ "MIT" ]

1

2022-02-10T07:47:01.000Z

from django_unicorn.components import UnicornView from django_unicorn.views.utils import _is_component_field_model_or_unicorn_field from example.coffee.models import Flavor class TypeHintView(UnicornView): model: Flavor = None class ModelInstanceView(UnicornView): model = Flavor() def test_type_hint(): ...

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0

09bb144937911126f0899a4f90a8ca7646246b73

431

py

Python

data_wrangling/data_manipulation/check_if_even.py

dkedar7/Notes

08a9e710a774fd46ec525e0041c1cbd67fbe6c20

[ "MIT" ]

3

2021-05-28T09:00:56.000Z

2021-12-21T01:12:20.000Z

data_wrangling/data_manipulation/check_if_even.py

dkedar7/Notes

08a9e710a774fd46ec525e0041c1cbd67fbe6c20

[ "MIT" ]

null

data_wrangling/data_manipulation/check_if_even.py

dkedar7/Notes

08a9e710a774fd46ec525e0041c1cbd67fbe6c20

[ "MIT" ]

null

import pytest testdata = [ (2, True), (3, False), (4, True), (5, True) # We expect this test to fail ] def check_if_even(a): """ Returns True if 'a' is an even number """ return a % 2 == 0 @pytest.mark.parametrize('sample, expected_output', testdata) def test_check_if_even(sample...

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0

null

0

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0

09c0c79a0b5cfaa45266d9d9675a6a0f9435dae8

6,234

py

Python

orwell/agent/main.py

dchilot/agent-server-game-python

ce8db9560047a06960343cc66a9eddb11e77f5a1

[ "BSD-3-Clause" ]

null

orwell/agent/main.py

dchilot/agent-server-game-python

ce8db9560047a06960343cc66a9eddb11e77f5a1

[ "BSD-3-Clause" ]

null

orwell/agent/main.py

dchilot/agent-server-game-python

ce8db9560047a06960343cc66a9eddb11e77f5a1

[ "BSD-3-Clause" ]

null

import logging import sys import socket from cliff.app import App from cliff.command import Command from cliff.commandmanager import CommandManager class RegisteredCommand(Command): def __init__(self, app, app_args): super(RegisteredCommand, self).__init__(app, app_args) @classmethod def registe...

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0

null

0

1

0

09c267a3cb1cc17f6f5bb5ef69492d09f87a64fa

1,475

py

Python

tests/test_models.py

jimimvp/CausalProb

900527725ad43eac258df2b16ef93fd1643deb3a

[ "MIT" ]

3

2021-11-04T16:37:45.000Z

2022-03-08T10:24:19.000Z

tests/test_models.py

jimimvp/CausalProb

900527725ad43eac258df2b16ef93fd1643deb3a

[ "MIT" ]

13

2021-11-07T11:11:54.000Z

2021-11-20T10:40:39.000Z

tests/test_models.py

jimimvp/CausalProb

900527725ad43eac258df2b16ef93fd1643deb3a

[ "MIT" ]

1

2021-11-17T21:40:49.000Z

from causalprob import CausalProb import unittest import jax.numpy as jnp import numpy as np class TestNFConfounderModel(unittest.TestCase): def test_is_inverse_function(self): from models.nf_confounder_model import define_model dim = 2 model = define_model(dim=dim) cp = CausalPr...

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0

null

0

1

0

09c9a15d0f7a17f53680be679c2a6066d5b21c97

1,335

py

Python

tools/prepare_data.py

xrick/CTC_DySpeechCommands

d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e

[ "MIT" ]

74

2018-05-05T18:43:28.000Z

2022-03-21T13:00:14.000Z

tools/prepare_data.py

xrick/CTC_DySpeechCommands

d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e

[ "MIT" ]

5

2018-07-20T16:18:57.000Z

2021-01-26T11:52:31.000Z

tools/prepare_data.py

xrick/CTC_DySpeechCommands

d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e

[ "MIT" ]

21

2018-06-18T07:21:19.000Z

2021-04-11T06:49:03.000Z

"""Downloads the training dataset and removes bad samples. """ import csv import os import urllib.request import tarfile import glob DATA_URL = 'http://download.tensorflow.org/data/speech_commands_v0.01.tar.gz' TRAIN_DIR = '../dataset/train/audio/' FILE_BAD = 'bad_samples.txt' def maybe_download(data_url, dest_di...

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0

null

0

null

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1

0

09caab87d8b63d185ae16695cb5079d8b60078ed

4,232

py

Python

Dashboard_Relay/tests/unit/api/test_authorization.py

weiwa6/SecValidation

e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5

[ "BSD-3-Clause" ]

null

Dashboard_Relay/tests/unit/api/test_authorization.py

weiwa6/SecValidation

e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5

[ "BSD-3-Clause" ]

null

Dashboard_Relay/tests/unit/api/test_authorization.py

weiwa6/SecValidation

e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5

[ "BSD-3-Clause" ]

null

from http import HTTPStatus from authlib.jose import jwt from pytest import fixture from .utils import get_headers from api.errors import AUTH_ERROR def routes(): yield '/health' yield '/deliberate/observables' yield '/observe/observables' yield '/refer/observables' yield '/respond/observables' ...

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py

Python

ops-implementations/ads-ml-service/app/gunicorn.init.py

IBM/open-prediction-service-hub

8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a

[ "Apache-2.0" ]

1

2021-09-14T18:40:33.000Z

ops-implementations/ads-ml-service/app/gunicorn.init.py

IBM/open-prediction-service-hub

8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a

[ "Apache-2.0" ]

7

2021-04-23T13:41:39.000Z

2021-08-12T09:33:10.000Z

ops-implementations/ads-ml-service/app/gunicorn.init.py

IBM/open-prediction-service-hub

8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a

[ "Apache-2.0" ]

5

2020-12-10T14:27:23.000Z

2022-03-29T08:44:22.000Z

#!/usr/bin/env python3 # # Copyright 2020 IBM # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed t...

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null

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09ce6912201c289c5c7f36b054105384590d7dc8

2,143

py

Python

graphics/place_camera.py

bdemin/M113_Visualization

bf863af9dfc2902ae9123afeae8d5bd413a4bedb

[ "MIT" ]

null

graphics/place_camera.py

bdemin/M113_Visualization

bf863af9dfc2902ae9123afeae8d5bd413a4bedb

[ "MIT" ]

null

graphics/place_camera.py

bdemin/M113_Visualization

bf863af9dfc2902ae9123afeae8d5bd413a4bedb

[ "MIT" ]

null

import numpy as np def place_camera(time, data, camera, camera_distance, view): # Define camera parameters camera.SetViewUp([0,0,1]) if view == 1: # General view chs_pos = data[0][0].path_loc[time] # Chassis CG @ time cam_d = 12 # [m] cam_h = 4.5 # [m] chs2cam...

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null

0

null

0

1

0

09cf011d62fddefba9f4507356da24e66db71898

16,405

py

Python

src/tools/api_compiler/compiler.py

facade-technologies-inc/facile

4c9134dced71734641fed605e152880cd9ddefe3

[ "MIT" ]

2

2020-09-17T20:51:18.000Z

2020-11-03T15:58:10.000Z

src/tools/api_compiler/compiler.py

facade-technologies-inc/facile

4c9134dced71734641fed605e152880cd9ddefe3

[ "MIT" ]

97

2020-08-26T05:07:08.000Z

2022-03-28T16:01:49.000Z

src/tools/api_compiler/compiler.py

facade-technologies-inc/facile

4c9134dced71734641fed605e152880cd9ddefe3

[ "MIT" ]

null

""" .. /------------------------------------------------------------------------------\ | -- FACADE TECHNOLOGIES INC. CONFIDENTIAL -- | |------------------------------------------------------------------------------| | ...

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py

Python

src/testing/functionaltests/webtest.py

pgecsenyi/piepy

37bf6cb5bc8c4f9da3f695216beda7353d79fb29

[ "MIT" ]

1

2018-03-26T22:39:36.000Z

src/testing/functionaltests/webtest.py

pgecsenyi/piepy

37bf6cb5bc8c4f9da3f695216beda7353d79fb29

[ "MIT" ]

null

src/testing/functionaltests/webtest.py

pgecsenyi/piepy

37bf6cb5bc8c4f9da3f695216beda7353d79fb29

[ "MIT" ]

null

""" Web unit tests """ # pylint: disable=too-many-public-methods import time import unittest import requests from testing.communicationhelper import get_json, put_json from testing.functions import are_expected_items_in_list, are_expected_kv_pairs_in_list, \ get_item_from_embedded_dict...

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09d79f0d227847749db1ddb7eb6acbb60326e8b8

862

py

Python

10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py

ZeroWeight/Pattern-Recognize

ce18ab7d218840978f546a94d02d4183c9dc1aac

[ "MIT" ]

4

2018-07-30T01:46:22.000Z

2019-04-09T12:23:52.000Z

10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py

ZeroWeight/Pattern-Recognize

ce18ab7d218840978f546a94d02d4183c9dc1aac

[ "MIT" ]

null

10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py

ZeroWeight/Pattern-Recognize

ce18ab7d218840978f546a94d02d4183c9dc1aac

[ "MIT" ]

1

2020-02-25T05:09:06.000Z

# -------------------------------------------------------- # Fast R-CNN # Copyright (c) 2015 Microsoft # Licensed under The MIT License [see LICENSE for details] # Written by Ross Girshick # -------------------------------------------------------- """Factory method for easily getting imdbs by name.""" __sets = {} fro...

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0

0.461538

0

null

0

null

0

1

0

09dbc482da6f2620a0ec95d44dab6ffbe0c052f9

4,439

py

Python

monopoly.py

michaelhutton/monopoly

d3adcf524dfb015dbdaaadf905ca8cc4396fde3e

[ "MIT" ]

null

monopoly.py

michaelhutton/monopoly

d3adcf524dfb015dbdaaadf905ca8cc4396fde3e

[ "MIT" ]

null

monopoly.py

michaelhutton/monopoly

d3adcf524dfb015dbdaaadf905ca8cc4396fde3e

[ "MIT" ]

null

import random squares = [ "Go", "Mediterranean Ave.", "Community Chest", "Baltic Ave.", "Income Tax", "Reading Railroad", "Oriental Ave.", "Chance", "Vermont Ave.", "Connecticut Ave.", "Jail", "St. Charles Place", "Electric Company", "States Ave.", "Virginia ...

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0

null

0

null

0

1

0

09ddae526c3cd9bcfe820b2b4ae3706b5e1e7c32

7,769

py

Python

coinzdense/app.py

pibara/coinzdense-python

f051770b71fa0afe935eb0d2079dab21eea9432d

[ "BSD-3-Clause" ]

null

coinzdense/app.py

pibara/coinzdense-python

f051770b71fa0afe935eb0d2079dab21eea9432d

[ "BSD-3-Clause" ]

null

coinzdense/app.py

pibara/coinzdense-python

f051770b71fa0afe935eb0d2079dab21eea9432d

[ "BSD-3-Clause" ]

null

#!/usr/bin/python3 from coinzdense.signing import SigningKey as _SigningKey from coinzdense.validation import ValidationEnv as _ValidationEnv from coinzdense.wallet import create_wallet as _create_wallet from coinzdense.wallet import open_wallet as _open_wallet def _keys_per_signature(hashlen, otsbits): return 2*(...

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0

null

0

null

0

1

0

09de00e54d3860203b7729e1854754335ac141d7

1,296

py

Python

src/asyncdataflow/inspector.py

tomaszkingukrol/async-data-flow

1572ef101cb0e6a0f27a77401538a4620ee9939f

[ "Apache-2.0" ]

null

src/asyncdataflow/inspector.py

tomaszkingukrol/async-data-flow

1572ef101cb0e6a0f27a77401538a4620ee9939f

[ "Apache-2.0" ]

null

src/asyncdataflow/inspector.py

tomaszkingukrol/async-data-flow

1572ef101cb0e6a0f27a77401538a4620ee9939f

[ "Apache-2.0" ]

null

from collections.abc import Iterable from typing import Callable, Tuple import inspect from .definition import DataFlowInspector from .exceptions import DataFlowFunctionArgsError, DataFlowNotCallableError, DataFlowEmptyError, DataFlowNotTupleError class DataFlowInspect(DataFlowInspector): ''' Function inspectio...

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0

0.2

0

0.32

0

null

0

null

0

1

0

09e5ab892fd8685aedec11f8378615ed2931fa1c

891

py

Python

processing_pipeline/extractionless_registration.py

SijRa/Brain-Image-Analysis-using-Deep-Learning

a35411bda6e39eff57f715a695b7fb6a30997706

[ "MIT" ]

2

2022-01-04T16:54:20.000Z

2022-01-24T03:01:14.000Z

processing_pipeline/extractionless_registration.py

SijRa/Brain-Image-Analysis-using-Deep-Learning

a35411bda6e39eff57f715a695b7fb6a30997706

[ "MIT" ]

null

processing_pipeline/extractionless_registration.py

SijRa/Brain-Image-Analysis-using-Deep-Learning

a35411bda6e39eff57f715a695b7fb6a30997706

[ "MIT" ]

1

2020-07-05T09:30:11.000Z

from ants import registration, image_read, image_write, resample_image, crop_image from os import listdir mri_directory = "ADNI_baseline_raw/" template_loc = "MNI152_2009/mni_icbm152_t1_tal_nlin_sym_09a.nii" template = image_read(template_loc) template = resample_image(template, (192, 192, 160), True, 4) #template = ...

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null

0

null

0

1

0

09e7e9329ecb594a1ce5f26cf6f1dcdac3d78aef

15,237

py

Python

sp_api/api/finances/models/shipment_item.py

lionsdigitalsolutions/python-amazon-sp-api

7374523ebc65e2e01e37d03fc4009a44fabf2c3b

[ "MIT" ]

null

sp_api/api/finances/models/shipment_item.py

lionsdigitalsolutions/python-amazon-sp-api

7374523ebc65e2e01e37d03fc4009a44fabf2c3b

[ "MIT" ]

null

sp_api/api/finances/models/shipment_item.py

lionsdigitalsolutions/python-amazon-sp-api

7374523ebc65e2e01e37d03fc4009a44fabf2c3b

[ "MIT" ]

null

# coding: utf-8 """ Selling Partner API for Finances The Selling Partner API for Finances helps you obtain financial information relevant to a seller's business. You can obtain financial events for a given order, financial event group, or date range without having to wait until a statement period closes. You ...

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15,237

5.1042

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0.505156

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0.369441

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15,237

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378

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0

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0.010753

0

null

0

null

0

1

0

09e89b2450d77d8cea8acdf70dfa8deb4095af90

3,370

py

Python

my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

[ "MIT" ]

null

my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

[ "MIT" ]

null

my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py

VirtualLG/vimrc

33f961b0e465b852753479bc4aa0a32a6ff017cf

[ "MIT" ]

null

# Copyright (C) 2015-2018 YouCompleteMe contributors # # This file is part of YouCompleteMe. # # YouCompleteMe is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your opt...

32.403846

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0.625223

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3,370

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0.011696

0.02924

0.23538

0.22271

0.195419

0.119396

0.103314

0.068226

0

0.025809

0.275668

3,370

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0

0.051948

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0.12987

0.012987

0

null

0

null

0

1

0

09edfb321e8839956c0dd18d657713402150647f

2,043

py

Python

examples/design_studies/ihm_fingergait/check_progress.py

cbteeple/somo

53a1a94f7d9d624bc4c43e582c80f24a0e98df24

[ "MIT" ]

null

examples/design_studies/ihm_fingergait/check_progress.py

cbteeple/somo

53a1a94f7d9d624bc4c43e582c80f24a0e98df24

[ "MIT" ]

null

examples/design_studies/ihm_fingergait/check_progress.py

cbteeple/somo

53a1a94f7d9d624bc4c43e582c80f24a0e98df24

[ "MIT" ]

null

# Be sure to run this file from the "palm_sweeps" folder # cd examples/palm_sweeps import os import sys from datetime import datetime path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) sys.path.insert(0, path) from somo.sweep import iter_utils config_file = "sweeps/grid_diam_height.yam...

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2,043

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95

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0.083333

0.208333

0

null

0

null

0

1

0

09f226a5810e82fde46ce6d76eb7db7321ca355b

3,998

py

Python

Projects/Project 1/Handin/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

Projects/Project 1/Handin/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

Projects/Project 1/Handin/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

from collections import deque as LL class Process: def __init__(self, parent, priority): self.state = 1 # State: 1=ready / 0=blocked self.parent = parent self.children = LL() self.resources = LL() self.priority = priority self.blocked_on = None class Resource: d...

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3,998

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0.171908

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0.041008

0.034173

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0.053823

0

0.009369

0.305903

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0.106383

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false

0

0.010638

0

0.234043

0

null

0

null

0

1

0

09f240acbe9b8fa80d51945cdcc670845719d41c

2,394

py

Python

pg_methods/interfaces/state_processors.py

zafarali/policy-gradient-methods

f0d83a80ddc772dcad0c851aac9bfd41d436c274

[ "MIT" ]

28

2018-06-12T21:37:20.000Z

2021-12-27T15:13:14.000Z

pg_methods/interfaces/state_processors.py

zafarali/policy-gradient-methods

f0d83a80ddc772dcad0c851aac9bfd41d436c274

[ "MIT" ]

3

2018-05-10T16:33:05.000Z

2018-06-19T18:17:37.000Z

pg_methods/interfaces/state_processors.py

zafarali/policy-gradient-methods

f0d83a80ddc772dcad0c851aac9bfd41d436c274

[ "MIT" ]

7

2018-05-08T04:13:21.000Z

2021-04-02T12:31:55.000Z

import gym import torch import numpy as np from pg_methods.interfaces import common_interfaces as common class SimpleStateProcessor(common.Interface): """ Allows one to interface states between a single instance of gym """ def __init__(self, environment_observation_space, one_hot=False, use_cuda=False...

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0

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103

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0

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0.267857

0

null

0

null

0

1

0

09f69dea9d9541fb1a471fe9f8d7ffca1d756933

3,935

py

Python

tests/test_emlib.py

mjpekala/faster-membranes

f203fc8608603bc7b16a1abeac324d52e9dfe96a

[ "Apache-2.0" ]

null

tests/test_emlib.py

mjpekala/faster-membranes

f203fc8608603bc7b16a1abeac324d52e9dfe96a

[ "Apache-2.0" ]

null

tests/test_emlib.py

mjpekala/faster-membranes

f203fc8608603bc7b16a1abeac324d52e9dfe96a

[ "Apache-2.0" ]

null

"""Unit test for emlib.py To run: PYTHONPATH=../src python test_emlib.py """ __author__ = "Mike Pekala" __copyright__ = "Copyright 2015, JHU/APL" __license__ = "Apache 2.0" import unittest import numpy as np from sklearn.metrics import precision_recall_fscore_support as smetrics import emlib class TestEmlib...

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3,935

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0.26

0.015008

0.066533

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0.330665

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0.252126

0.235118

0.145073

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3,935

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0

0.132353

0

null

0

null

0

1

0

09f91afeaca4a61947c025a6985fde971a2433a0

727

py

Python

app/core/bluetooth/models.py

FHellmann/MLWTF

582c3505d638907a848d5a6c739ee99981300f17

[ "Apache-2.0" ]

null

app/core/bluetooth/models.py

FHellmann/MLWTF

582c3505d638907a848d5a6c739ee99981300f17

[ "Apache-2.0" ]

null

app/core/bluetooth/models.py

FHellmann/MLWTF

582c3505d638907a848d5a6c739ee99981300f17

[ "Apache-2.0" ]

null

#!/usr/bin/python """ Author: Fabio Hellmann <info@fabio-hellmann.de> """ from attr import s, ib from attr.validators import instance_of @s(frozen=True) class BLEDevice(object): """ Device MAC address (as a hex string separated by colons). """ addr = ib(validator=instance_of(str), type=str) "...

27.961538

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103

727

4.76699

0.640777

0.081466

0.11609

0.12831

0.126273

0

0.001748

0.213205

727

25

115

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0.856643

0.167813

0

1

0

false

0

0.285714

0

0.857143

0

null

0

null

0

1

0

09f949d20672656308f4b25b2fb52c7d29555163

1,511

py

Python

Algorithms_medium/1102. Path With Maximum Minimum Value.py

VinceW0/Leetcode_Python_solutions

09e9720afce21632372431606ebec4129eb79734

[ "Xnet", "X11" ]

4

2020-08-11T20:45:15.000Z

2021-03-12T00:33:34.000Z

Algorithms_medium/1102. Path With Maximum Minimum Value.py

VinceW0/Leetcode_Python_solutions

09e9720afce21632372431606ebec4129eb79734

[ "Xnet", "X11" ]

null

Algorithms_medium/1102. Path With Maximum Minimum Value.py

VinceW0/Leetcode_Python_solutions

09e9720afce21632372431606ebec4129eb79734

[ "Xnet", "X11" ]

null

""" 1102. Path With Maximum Minimum Value Medium Given a matrix of integers A with R rows and C columns, find the maximum score of a path starting at [0,0] and ending at [R-1,C-1]. The score of a path is the minimum value in that path. For example, the value of the path 8 → 4 → 5 → 9 is 4. A path moves some numb...

26.982143

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0.536069

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1,511

2.825784

0.337979

0.014797

0.011097

0.014797

0

0.093809

0.294507

1,511

56

155

26.982143

0.664165

0.547981

0

1

0.066667

false

0

0.2

0

null

0

null

0

1

0

09f9da8e8fb3a2cb6c40b0627a6fdbf5844460e0

1,436

py

Python

tests/extractor/test_factory.py

albertteoh/data_pipeline

a99f1c7412375b3e9f4115108fcdde517b2e71a6

[ "Apache-2.0" ]

null

tests/extractor/test_factory.py

albertteoh/data_pipeline

a99f1c7412375b3e9f4115108fcdde517b2e71a6

[ "Apache-2.0" ]

null

tests/extractor/test_factory.py

albertteoh/data_pipeline

a99f1c7412375b3e9f4115108fcdde517b2e71a6

[ "Apache-2.0" ]

null

import pytest import data_pipeline.db.factory as db_factory import data_pipeline.extractor.factory as extractor_factory import tests.unittest_utils as utils import data_pipeline.constants.const as const from pytest_mock import mocker from data_pipeline.db.exceptions import UnsupportedDbTypeError @pytest.fixture() def...

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1,436

41

80

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0

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0

0.34375

0

null

0

null

0

1

0

09fa1379267ff36d7eaf0c8f04ba9a7c23bd124b

3,424

py

Python

suremco/tracker.py

modsim/SurEmCo

71fc0cfc62f8733de93ee2736421574a154e3db3

[ "BSD-2-Clause" ]

null

suremco/tracker.py

modsim/SurEmCo

71fc0cfc62f8733de93ee2736421574a154e3db3

[ "BSD-2-Clause" ]

null

suremco/tracker.py

modsim/SurEmCo

71fc0cfc62f8733de93ee2736421574a154e3db3

[ "BSD-2-Clause" ]

null

# SurEmCo - C++ tracker wrapper import ctypes from enum import IntEnum import sys import os import numpy import numpy.ctypeslib class Tracker(object): class Mode(IntEnum): MOVING = 0 STATIC = 1 class Strategy(IntEnum): BRUTE_FORCE = 0 KD_TREE = 1 track_input_type = {'dty...

29.517241

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3,424

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0.323232

0.051824

0.037017

0.015865

0.231095

0.209942

0.194606

0.143839

0.101534

0

0.013036

0.305491

3,424

115

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0.061916

0

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0

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0.059524

false

0

0.083333

0.011905

0.25

0.02381

0

null

0

null

0

1

0

09fb1d9a7c357f2bc49fb2f43274b073bfff333e

4,026

py

Python

foreign_languages/anderson.py

ds-modules/NESTUD-190A

54ca1cd9a8f369f48946147f72377f874738f7d5

[ "MIT" ]

6

2017-11-06T03:18:12.000Z

2019-10-02T19:41:06.000Z

foreign_languages/anderson.py

admndrsn/NESTUD-190A

54ca1cd9a8f369f48946147f72377f874738f7d5

[ "MIT" ]

null

foreign_languages/anderson.py

admndrsn/NESTUD-190A

54ca1cd9a8f369f48946147f72377f874738f7d5

[ "MIT" ]

2

2018-02-09T01:04:58.000Z

2019-06-19T17:45:34.000Z

from IPython.core.display import display, HTML import translation class translate(object): id_start = 0 def __init__(self, column_types, language_to='en'): self.num_of_columns = len(column_types) + 1 column_types.insert(0, 'original text') self.column_types = column_types self.language_to = language_to...

31.209302

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0.721063

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4,026

4.607201

0.327332

0.025577

0.02238

0.039787

0.13357

0.120071

0.10373

0

0.00507

0.167163

4,026

128

133

31.453125

0.834477

0.23696

0

0.03125

0

0.15498

0.024902

0

1

0.171875

false

0

0.078125

0.03125

0.40625

0

null

0

null

0

1

0

61cb92b7eff849f550f556cfcf71f302f039dac7

1,315

py

Python

landdox/core.py

natefduncan/landdox

58908554034577cc20c6f89ee6056da90cbfbd4e

[ "MIT" ]

1

2019-12-13T16:19:56.000Z

landdox/core.py

natefduncan/landdox

58908554034577cc20c6f89ee6056da90cbfbd4e

[ "MIT" ]

null

landdox/core.py

natefduncan/landdox

58908554034577cc20c6f89ee6056da90cbfbd4e

[ "MIT" ]

null

import requests import json import pandas as pd import os from .endpoints import * class Client: endpoints = { "contacts" : contacts, "leases" : leases, "units" : units, "wells" : wells, "custom" : custom, "tracts" : tracts, "payments" : payments } ...

26.3

62

0.580989

137

1,315

5.364964

0.416058

0.068027

0.04898

0.073469

0.157823

0.092517

0

0.004415

0.311027

1,315

49

63

26.836735

0.806843

0

0.14688

0

1

0.076923

false

0

0.128205

0

0.282051

0

null

0

null

0

1

0

61cd1b7623e09e8563a60f3d87a7caf270f2faa2

589

py

Python

src/signalplotter/qt/makePyUI.py

jowanpittevils/Databasemanager_Signalplotter

993152ad15793054df2acf386eb1c9a76610b789

[ "BSD-3-Clause" ]

null

src/signalplotter/qt/makePyUI.py

jowanpittevils/Databasemanager_Signalplotter

993152ad15793054df2acf386eb1c9a76610b789

[ "BSD-3-Clause" ]

null

src/signalplotter/qt/makePyUI.py

jowanpittevils/Databasemanager_Signalplotter

993152ad15793054df2acf386eb1c9a76610b789

[ "BSD-3-Clause" ]

null

#%% def makeUI(uiNames): import sys, os print('Check the pwd first, It must be at .../SignalPlotter/qt.') print(os.getcwd()) p0 = os.path.dirname(sys.executable) for uiName in (uiNames): print('===== for: ',uiName,' ======') p1 = '"'+p0+'\Scripts\pyuic5.exe'+'" ' p1 += ' -x...

21.035714

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0.50764

68

589

4.382353

0.647059

0.087248

0

0.02148

0.288625

589

27

70

21.814815

0.689737

0.008489

0

0.266323

0.036082

0.058824

0

1

0.058824

false

0

0.117647

0

0.176471

0.352941

0

null

0

null

0

1

0

61cea84c27bf7df9b0289ed47ffee2781ddbdc17

3,148

py

Python

mpcontribs-users/mpcontribs/users/swf/pre_submission.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

1

2019-07-03T04:38:58.000Z

mpcontribs-users/mpcontribs/users/swf/pre_submission.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

null

mpcontribs-users/mpcontribs/users/swf/pre_submission.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

1

2019-07-03T04:39:04.000Z

from mpcontribs.config import mp_level01_titles from mpcontribs.io.core.recdict import RecursiveDict from mpcontribs.io.core.utils import clean_value, get_composition_from_string from mpcontribs.users.utils import duplicate_check def round_to_100_percent(number_set, digit_after_decimal=1): unround_numbers = [ ...

43.123288

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0.656607

422

3,148

4.699052

0.303318

0.027736

0.034291

0.036309

0.228946

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0.195159

0.169945

0.140696

0

0.019013

0.21474

3,148

72

92

43.722222

0.783172

0.025095

0

0.098361

0

0.086162

0

1

0.032787

false

0

0.114754

0

0.163934

0

null

0

null

0

1

0

61cf7342efb940a3f5d7c9b44e90c3d3f4d12610

21,205

py

Python

src/trails/flow_model.py

BenDickens/trails

a89a1a901c7be38cdcb7a59339587e518ab8f14d

[ "MIT" ]

4

2020-09-14T07:20:19.000Z

2021-04-22T14:23:04.000Z

src/trails/flow_model.py

BenDickens/trails

a89a1a901c7be38cdcb7a59339587e518ab8f14d

[ "MIT" ]

5

2021-03-17T17:02:27.000Z

2021-08-31T10:09:38.000Z

src/trails/flow_model.py

BenDickens/trails

a89a1a901c7be38cdcb7a59339587e518ab8f14d

[ "MIT" ]

3

2020-09-07T07:35:28.000Z

2021-04-22T14:23:39.000Z

import os,sys import numpy as np import pandas as pd import geopandas as gpd import matplotlib.pyplot as plt import pygeos from osgeo import gdal from tqdm import tqdm import igraph as ig import contextily as ctx from rasterstats import zonal_stats import time import pylab as pl from IPython import display import seabo...

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0.012618

0

null

0

null

0

1

0

61cffba0eebf31780c12f21faf032f94e065f6a5

1,238

py

Python

offsite/core/utils.py

wh1te909/backup-offsite

694f773583eb825b44ff20c51598ac9e1106cd32

[ "MIT" ]

4

2021-01-20T15:45:35.000Z

2021-07-09T02:15:31.000Z

offsite/core/utils.py

wh1te909/backup-offsite

694f773583eb825b44ff20c51598ac9e1106cd32

[ "MIT" ]

6

2020-08-02T23:31:07.000Z

2021-09-22T19:19:50.000Z

offsite/core/utils.py

wh1te909/backup-offsite

694f773583eb825b44ff20c51598ac9e1106cd32

[ "MIT" ]

null

from channels.auth import AuthMiddlewareStack from knox.auth import TokenAuthentication from django.contrib.auth.models import AnonymousUser from channels.db import database_sync_to_async @database_sync_to_async def get_user(access_token): try: auth = TokenAuthentication() token = access_token.de...

25.265306

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1,238

6.132353

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0.466667

0

null

0

null

0

1

0

61d14e7bc92cdd86e7f3f92f3039ee396ac2a457

6,841

py

Python

unik/indexing.py

balbasty/unik

7b8b2a0989495eec7bc0db6c672ce904cbcb1063

[ "MIT" ]

null

unik/indexing.py

balbasty/unik

7b8b2a0989495eec7bc0db6c672ce904cbcb1063

[ "MIT" ]

null

unik/indexing.py

balbasty/unik

7b8b2a0989495eec7bc0db6c672ce904cbcb1063

[ "MIT" ]

null

"""Access / change tensor shape.""" import tensorflow as tf import numpy as np from .magik import tensor_compat from .alloc import zeros_like from .types import has_tensor, as_tensor, cast, dtype from .shapes import shape, reshape, flatten, transpose, unstack from ._math_for_indexing import cumprod, minimum, maximum f...

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874

6,841

4.45881

0.217391

0.04311

0.029253

0.021812

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0.185014

0.126508

0.089556

0

0.005427

0.299664

6,841

193

78

35.445596

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0.2887

0

0.357143

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0

0.071429

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0.232143

0.008929

0

null

0

null

0

1

0

61d192d69ecdae0462072ff12464ac90f01f69d0

1,478

py

Python

aleph/views/alerts_api.py

adikadashrieq/aleph

acc03197c10e511a279ae3a05120187223f173d2

[ "MIT" ]

1

2019-06-18T21:35:59.000Z

aleph/views/alerts_api.py

heartofstone/aleph

d66b6615d2bfa10c291c63754f53b468de8bebde

[ "MIT" ]

null

aleph/views/alerts_api.py

heartofstone/aleph

d66b6615d2bfa10c291c63754f53b468de8bebde

[ "MIT" ]

null

from flask import Blueprint, request from aleph.core import db from aleph.model import Alert from aleph.search import DatabaseQueryResult from aleph.views.forms import AlertSchema from aleph.views.serializers import AlertSerializer from aleph.views.util import require, obj_or_404 from aleph.views.util import parse_req...

31.446809

71

0.750338

207

1,478

5.198068

0.2657

0.066915

0.065056

0.066915

0.472119

0.288104

0.230483

0

0.012327

0.121786

1,478

46

72

32.130435

0.816641

0

0.277778

0

0.075101

0.037889

0

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0.111111

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0

0.25

0

0.472222

0.166667

0

null

0

null

0

1

0

61d210a06894e407303586520efa2e44fe445461

11,283

py

Python

run.py

Acforest/LogPrompt

199766cea9988bc6e8b1c71352b090da68bbb71d

[ "Apache-2.0" ]

null

run.py

Acforest/LogPrompt

199766cea9988bc6e8b1c71352b090da68bbb71d

[ "Apache-2.0" ]

null

run.py

Acforest/LogPrompt

199766cea9988bc6e8b1c71352b090da68bbb71d

[ "Apache-2.0" ]

null

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

58.46114

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11,283

4.781709

0.215621

0.056541

0.106799

0.02122

0.226721

0.17744

0.160128

0.107078

0.074131

0

0.006516

0.238323

11,283

192

120

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0.826972

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0

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0.006667

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0

0.066667

0

null

0

null

0

1

0

61d24122d7792980c0b72c95b9dc3ec6c9efd631

2,282

py

Python

data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

1

2019-12-04T08:23:33.000Z

from keras.models import Sequential from keras.layers.convolutional import Convolution2D, MaxPooling2D, ZeroPadding2D from keras.layers.core import Activation, Dense, Flatten, Dropout from keras.optimizers import Adam from keras.regularizers import l2 from keras import backend as K def center_normalize(x)...

34.575758

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0.133244

0.148048

0.631225

0.611036

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0

0.064293

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2,282

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false

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0

0.204082

0

null

0

null

0

1

0

61d29e48cb817ece86e476bffbf91b00d5532c33

8,685

py

Python

BuildDeb.py

KOLANICH/GraalVM_deb_packages_CI

f41786b4daa11efebe24402f5000111137365b4f

[ "Apache-2.0", "Unlicense" ]

null

BuildDeb.py

KOLANICH/GraalVM_deb_packages_CI

f41786b4daa11efebe24402f5000111137365b4f

[ "Apache-2.0", "Unlicense" ]

null

BuildDeb.py

KOLANICH/GraalVM_deb_packages_CI

f41786b4daa11efebe24402f5000111137365b4f

[ "Apache-2.0", "Unlicense" ]

null

#!/usr/bin/env python3 import sys import struct import re import os from itertools import chain import warnings import tarfile import sh from tqdm import tqdm from pydebhelper import * from getLatestVersionAndURLWithGitHubAPI import getTargets def genGraalProvides(start=6, end=8): # java 12 still not supported ye...

32.773585

691

0.687737

1,041

8,685

5.705091

0.331412

0.021889

0.027277

0.034854

0.146658

0.134534

0.103553

0.097491

0.086378

0

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0.137018

8,685

264

692

32.897727

0.788659

0.006102

0

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0.338355

0.045423

0

1

0.043269

false

0.004808

0.052885

0

0.125

0.009615

0

null

0

null

0

1

0

61d2ae9ec01343c7273afc66fcb5912f5895801a

6,267

py

Python

mergify_engine/utils.py

Madhu-1/mergify-engine

9ca4f4697cc825230b1584f5587f10393cabc971

[ "Apache-2.0" ]

null

mergify_engine/utils.py

Madhu-1/mergify-engine

9ca4f4697cc825230b1584f5587f10393cabc971

[ "Apache-2.0" ]

null

mergify_engine/utils.py

Madhu-1/mergify-engine

9ca4f4697cc825230b1584f5587f10393cabc971

[ "Apache-2.0" ]

null

# -*- encoding: utf-8 -*- # # Copyright © 2017 Red Hat, Inc. # # 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...

27.977679

88

0.6322

749

6,267

5.142857

0.368491

0.054517

0.036345

0.043614

0.126947

0.095535

0.031153

0

0.006811

0.250359

6,267

223

89

28.103139

0.812686

0.1251

0

0.107595

0

0.129677

0.035583

0

1

0.094937

false

0.018987

0.094937

0.012658

0.272152

0

null

0

null

0

1

0

61d440e6d71c032e6b0102e0319c9ad174f35ff4

1,750

py

Python

milefrienddb/models/vehicles.py

jcrjaci/mil_test

ed54f55c5aacd8ffd110b7c173422dbd0cac631f

[ "MIT" ]

null

milefrienddb/models/vehicles.py

jcrjaci/mil_test

ed54f55c5aacd8ffd110b7c173422dbd0cac631f

[ "MIT" ]

null

milefrienddb/models/vehicles.py

jcrjaci/mil_test

ed54f55c5aacd8ffd110b7c173422dbd0cac631f

[ "MIT" ]

null

"""Vehicle's app models.""" import uuid from django.db import models from .clients import Client class Vehicle(models.Model): """Model representing a vehicle.""" road_worthiness_path = 'vehicles/certs/road_worthiness' ownership_path = 'vehicles/certs/ownership' photo_path = 'vehicles/photos' id...

38.043478

87

0.737714

222

1,750

5.594595

0.418919

0.057971

0.072464

0.096618

0.136876

0

0.011494

0.154857

1,750

45

88

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0.828262

0.050286

0

0.066829

0.032807

0

1

0.029412

false

0

0.088235

0

0.941176

0

null

0

null

0

1

0

61d6182a3cde9be8c7c4791931417d4e0d9e7b55

187

py

Python

ejercicio_4.py

Laurardila440/taller-de-secuencias

9db216d2431661e0777273fc5b8360a316d7dbd2

[ "Apache-2.0" ]

null

ejercicio_4.py

Laurardila440/taller-de-secuencias

9db216d2431661e0777273fc5b8360a316d7dbd2

[ "Apache-2.0" ]

null

ejercicio_4.py

Laurardila440/taller-de-secuencias

9db216d2431661e0777273fc5b8360a316d7dbd2

[ "Apache-2.0" ]

null

""" Entradas compra-->int-->c salidas Descuento-->flot-->d """ c=float(input("digite compra")) #caja negra d=(c*0.15) total=(c-d) #Salidas print("el total a pagar es de :"+str(total))

14.384615

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0.641711

32

187

3.75

0.71875

0.033333

0

0.018293

0.122995

187

12

45

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0.713415

0.395722

0

0.359223

0

1

0

false

0

0.25

0

null

0

null

0

1

0

61d6aa3833e84422d5bd54157900ea1d35ffca0b

878

py

Python

429.py

geethakamath18/Leetcode

8e55e0a47ee35ed100b30dda6682c7ce1033d4b2

[ "MIT" ]

null

429.py

geethakamath18/Leetcode

8e55e0a47ee35ed100b30dda6682c7ce1033d4b2

[ "MIT" ]

null

429.py

geethakamath18/Leetcode

8e55e0a47ee35ed100b30dda6682c7ce1033d4b2

[ "MIT" ]

null

#LeetCode problem 429: N-ary Tree Level Order Traversal """ # Definition for a Node. class Node: def __init__(self, val=None, children=None): self.val = val self.children = children """ class Solution: def levelOrder(self, root: 'Node') -> List[List[int]]: res=[] h=self.getHeig...

26.606061

61

0.544419

116

878

4.086207

0.362069

0.050633

0.075949

0.059072

0.092827

0

0.017094

0.333713

878

32

62

27.4375

0.793162

0.223235

0

0.095238

0

0.017831

0

1

0.142857

false

0

0.333333

0

null

0

null

0

1

0

61d7cc4850de782acf97ce8fd6bae60d5d5eb06f

544

py

Python

PyhonServer/app-client.py

sixfourtwo/auhack19

65b94c6cbdbfbd50e355c12b8ca2792b3b086321

[ "Apache-2.0" ]

null

PyhonServer/app-client.py

sixfourtwo/auhack19

65b94c6cbdbfbd50e355c12b8ca2792b3b086321

[ "Apache-2.0" ]

null

PyhonServer/app-client.py

sixfourtwo/auhack19

65b94c6cbdbfbd50e355c12b8ca2792b3b086321

[ "Apache-2.0" ]

null

# importing the requests library import requests import json # api-endpoint URL = "http://127.0.0.1:80/water_mark" # defining a params dict for the parameters to be sent to the API # data is picture data # tagString is the text to embed into picture. data = { "data":"This is the original text", "tagStri...

22.666667

66

0.6875

83

544

4.493976

0.554217

0.058981

0.075067

0

0.022624

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544

23

67

23.652174

0.821267

0.430147

0

0.298013

0

1

0

false

0

0.181818

0

0.181818

0.090909

0

null

0

null

0

1

0

61d90f523acdcf1af2ba8df7242ffe2e2fdeac93

9,827

py

Python

memnet.py

404akhan/memnet

a8cf9e0a480575d9d36de6fa3357f667d64e0b05

[ "BSD-3-Clause" ]

1

2018-02-01T05:17:13.000Z

memnet.py

404akhan/memnet

a8cf9e0a480575d9d36de6fa3357f667d64e0b05

[ "BSD-3-Clause" ]

null

memnet.py

404akhan/memnet

a8cf9e0a480575d9d36de6fa3357f667d64e0b05

[ "BSD-3-Clause" ]

null

import torch import torch.nn.functional as F import torch.nn.init as init from torch import nn, autograd from torch.utils.data import DataLoader from babi import BabiDataset, pad_collate from torch.nn.utils import clip_grad_norm torch.backends.cudnn.benchmark = True torch.backends.cudnn.fastest = True class MemoryC...

37.083019

110

0.623792

1,189

9,827

4.936081

0.176619

0.021469

0.020617

0.025558

0.427671

0.381496

0.335492

0.313341

0.292213

0.279605

0

0.01646

0.270479

9,827

265

111

37.083019

0.802204

0.035413

0

0.302703

0

0.005405

0.02893

0

1

0.021622

false

0

0.037838

0

0.081081

0.021622

0

null

0

null

0

1

0

61d93349709f00bb603d8566d8afdb83080026fb

3,444

py

Python

tests/test_tba.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

11

2019-10-14T02:05:38.000Z

2022-03-10T14:10:22.000Z

tests/test_tba.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

29

2019-09-02T05:49:40.000Z

2022-02-26T00:57:54.000Z

tests/test_tba.py

StanfordAHA/Lake

34df001db107e1a0824b7fdb05b9f2145bf49a3e

[ "BSD-3-Clause" ]

1

2021-04-16T20:26:13.000Z

from lake.models.tba_model import TBAModel from lake.modules.transpose_buffer_aggregation import TransposeBufferAggregation from lake.passes.passes import lift_config_reg import magma as m from magma import * import fault import tempfile import kratos as k import random as rand import pytest def test_tba(word_width=1...

29.947826

94

0.594948

440

3,444

4.313636

0.259091

0.143836

0.094837

0.075869

0.310327

0.114858

0.092729

0.055848

0

0.026237

0.324913

3,444

114

95

30.210526

0.790108

0.006678

0

0.170455

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1

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false

0.011364

0.113636

0

0.125

0

null

0

null

0

1

0

61da398102287561106f2583dbf3dd6a0d400ea3

1,442

py

Python

2018/02/py/run.py

Bigsby/aoc

409fefbb0467628fa298288064acb622bb53ee58

[ "CC0-1.0" ]

1

2021-06-11T17:24:05.000Z

2018/02/py/run.py

Bigsby/aoc

409fefbb0467628fa298288064acb622bb53ee58

[ "CC0-1.0" ]

null

2018/02/py/run.py

Bigsby/aoc

409fefbb0467628fa298288064acb622bb53ee58

[ "CC0-1.0" ]

null

#! /usr/bin/python3 import sys, os, time from typing import List, Tuple from itertools import combinations def part1(ids: List[str]) -> int: twice_count = 0 thrice_count = 0 for id in ids: id_counts = { id.count(c) for c in id } twice_count += 2 in id_counts thrice_count += 3 in i...

25.75

72

0.615811

207

1,442

4.135266

0.36715

0.046729

0.035047

0

0.027959

0.255895

1,442

56

73

25.75

0.769804

0.012483

0

0.074438

0

1

0.125

false

0

0.075

0.025

0.3

0.1

0

null

0

null

0

1

0

61df694948c2ba5c7d34c79e97268eab5f090a30

3,272

py

Python

palette/core/color_transfer.py

SuziKim/PaletteSelection

cfc0052996b5c8dc1da2d6e30798dd1fed138ebe

[ "MIT" ]

23

2015-08-25T12:31:44.000Z

2021-12-15T03:18:12.000Z

palette/core/color_transfer.py

SuziKim/PaletteSelection

cfc0052996b5c8dc1da2d6e30798dd1fed138ebe

[ "MIT" ]

null

palette/core/color_transfer.py

SuziKim/PaletteSelection

cfc0052996b5c8dc1da2d6e30798dd1fed138ebe

[ "MIT" ]

7

2017-07-27T10:57:36.000Z

2022-02-22T06:51:44.000Z

# -*- coding: utf-8 -*- ## @package palette.core.color_transfer # # Color transfer. # @author tody # @date 2015/09/16 import numpy as np from scipy.interpolate import Rbf import matplotlib.pyplot as plt from palette.core.lab_slices import LabSlice, LabSlicePlot, Lab2rgb_py ## Color transfer for ab co...

37.181818

93

0.652812

457

3,272

4.38512

0.201313

0.071856

0.063872

0.062874

0.365269

0.336327

0.191617

0.160679

0.132735

0.096806

0

0.022673

0.231663

3,272

87

94

37.609195

0.774463

0.17665

0

0.113208

0

0.00075

0

1

0.150943

false

0

0.075472

0

0.339623

0

null

0

null

0

1

0

61dfafddb5a99f013e5962a29c6779ac49a5f150

1,447

py

Python

CursoEmVideoPython/desafio95.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

null

CursoEmVideoPython/desafio95.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

1

2020-07-04T16:27:25.000Z

CursoEmVideoPython/desafio95.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

null

scoult = dict() gols = list() time = list() temp = 0 while True: scoult['Jogador'] = str(input('Qual o nome do jogador: ')) scoult['Número partidas'] = int(input('Quantas partidas foram jogadas? ')) for i in range(0,scoult['Número partidas']): gols.append(int(input(f'Quantos gols foram marcados na p...

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0

0.27027

0

null

0

null

0

1

0

61e1ff665914cfb40790ee569edb6f9cb201dad5

3,668

py

Python

Algorithms/On-Policy/A2C/DISCOVER_A2C.py

baturaysaglam/DISCOVER

423158c84a5935ca5755ccad06ea5fe20fb57d76

[ "MIT" ]

null

Algorithms/On-Policy/A2C/DISCOVER_A2C.py

baturaysaglam/DISCOVER

423158c84a5935ca5755ccad06ea5fe20fb57d76

[ "MIT" ]

null

Algorithms/On-Policy/A2C/DISCOVER_A2C.py

baturaysaglam/DISCOVER

423158c84a5935ca5755ccad06ea5fe20fb57d76

[ "MIT" ]

null

import numpy as np import torch import torch.nn as nn import torch.optim as optim from utils import init class Explorer(nn.Module): def __init__(self, state_dim, max_action, exp_regularization): super(Explorer, self).__init__() init_ = lambda m: init(m, nn.init.orthogonal_, lambda x: nn.init.con...

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3,668

4.771552

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0.022584

0.029359

0.036134

0.503162

0.45122

0.409666

0.370822

0.291328

0

0.016619

0.245365

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105

37.428571

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0.006816

0

0.222222

0

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0

0.069444

0.013889

0.194444

0

null

0

null

0

1

0

61e3abea3e991562a75549fe727c93817d1999de

3,400

py

Python

user/beaninfo_Global.py

dvdrm/gd

c004724344577bb608fa0611d10c16b211995f72

[ "Apache-2.0" ]

null

user/beaninfo_Global.py

dvdrm/gd

c004724344577bb608fa0611d10c16b211995f72

[ "Apache-2.0" ]

null

user/beaninfo_Global.py

dvdrm/gd

c004724344577bb608fa0611d10c16b211995f72

[ "Apache-2.0" ]

null

from telethon import events, Button from .login import user from .. import jdbot from ..bot.utils import cmd, TASK_CMD,split_list, press_event from ..diy.utils import read, write import asyncio import re @user.on(events.NewMessage(pattern=r'^setbd', outgoing=True)) async def SetBeanDetailInfo(event): try: ...

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1

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0

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0.101124

0

null

0

null

0

1

0

61e6fadc19dca2b7aaa1c0e67b41806d94ed6219

12,263

py

Python

pyemits/core/ml/regression/trainer.py

thompson0012/PyEmits

9cb6fbf27ca7e8952ed5aca26118055e04492c23

[ "Apache-2.0" ]

6

2021-10-21T14:13:25.000Z

2021-12-26T12:22:51.000Z

pyemits/core/ml/regression/trainer.py

thompson0012/PyEmits

9cb6fbf27ca7e8952ed5aca26118055e04492c23

[ "Apache-2.0" ]

null

pyemits/core/ml/regression/trainer.py

thompson0012/PyEmits

9cb6fbf27ca7e8952ed5aca26118055e04492c23

[ "Apache-2.0" ]

null

from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor from sklearn.neural_network import MLPRegressor from sklearn.linear_model import ElasticNet, Ridge, Lasso, BayesianRidge, HuberRegressor from xgboost import XGBRegressor from lightgbm import LGBMRegressor from pyemits.core....

40.471947

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0.038354

0.031163

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0.352777

0.306299

0.28619

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0

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1

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0

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0.308458

0

null

0

null

0

1

0

61e7231e5da397e138846e32322894665e310b28

7,092

py

Python

network_core/network_graph.py

markusgl/SocialCompanion

e816af21c600b33dbcac25d088d4d75957d0349a

[ "MIT" ]

2

2018-12-21T12:55:21.000Z

2019-05-29T06:35:58.000Z

network_core/network_graph.py

markusgl/SocialCompanion

e816af21c600b33dbcac25d088d4d75957d0349a

[ "MIT" ]

8

2019-12-16T21:08:36.000Z

2021-03-31T18:58:35.000Z

network_core/network_graph.py

markusgl/SocialCompanion

e816af21c600b33dbcac25d088d4d75957d0349a

[ "MIT" ]

null

""" knowledge graph representation using neo4j this class uses py2neo with will be the final version """ import os import json from py2neo import Graph, Relationship, NodeMatcher, Node from network_core.ogm.node_objects import Me, Contact, Misc USERTYPE = "User" CONTACTTYPE = "Contact" ROOT_DIR = os.path.dirname(os.p...

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7,092

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0.017949

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0.223846

0

0.006321

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0

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0

0.212766

0

null

0

null

0

1

0

61ea28b84ee81d7761635919c06d71cde4b781c4

2,355

py

Python

src/train_and_evaluate.py

rajeevteejwal/mlops_wine_quality

970ce27712932ca535309230da69fc5c29d82c38

[ "MIT" ]

null

src/train_and_evaluate.py

rajeevteejwal/mlops_wine_quality

970ce27712932ca535309230da69fc5c29d82c38

[ "MIT" ]

null

src/train_and_evaluate.py

rajeevteejwal/mlops_wine_quality

970ce27712932ca535309230da69fc5c29d82c38

[ "MIT" ]

null

import os import pandas as pd from sklearn.linear_model import ElasticNet from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error import argparse import numpy as np import json import joblib from get_data import read_config def evaluate_metrics(actual, pred): r2 = r2_score(actual,pred) ma...

31.824324

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2,355

4.52568

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0.037383

0.032043

0.034045

0.17757

0.11215

0

0.011992

0.185563

2,355

73

78

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0.76903

0

0.143161

0

1

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0

0.15

0

0.2

0.066667

0

null

0

null

0

1

0

61ebdb6920b4b4c3e3a8b0b2f9c1a74ed61083fb

961

py

Python

examples/plot_magnitudes.py

zsiciarz/pygcvs

ed5522ab9cf9237592a6af7a0bc8cad079afeb67

[ "MIT" ]

null

examples/plot_magnitudes.py

zsiciarz/pygcvs

ed5522ab9cf9237592a6af7a0bc8cad079afeb67

[ "MIT" ]

null

examples/plot_magnitudes.py

zsiciarz/pygcvs

ed5522ab9cf9237592a6af7a0bc8cad079afeb67

[ "MIT" ]

null

""" Visualisation of maximum/minimum magnitude for GCVS stars. """ import sys import matplotlib.pyplot as plot from pygcvs import read_gcvs if __name__ == '__main__': try: gcvs_file = sys.argv[1] except IndexError: print('Usage: python plot_magnitudes.py <path to iii.dat>') else: ...

30.03125

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0.054054

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0

0.001389

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961

31

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0.820833

0.127992

0

0.218072

0

1

0

false

0

0.136364

0

0.136364

0.045455

0

null

0

null

0

1

0

61ed3298ce258d1708cb601b97ca2bb3d32448c9

18,023

py

Python

netor/tinydb/scripts/netorconf.py

aegiacometti/neto

4169a93a4d789facfe9a41d214b1a6c15e8f2fb9

[ "Apache-2.0" ]

1

2020-01-02T04:31:11.000Z

netor/tinydb/scripts/netorconf.py

aegiacometti/neto

4169a93a4d789facfe9a41d214b1a6c15e8f2fb9

[ "Apache-2.0" ]

null

netor/tinydb/scripts/netorconf.py

aegiacometti/neto

4169a93a4d789facfe9a41d214b1a6c15e8f2fb9

[ "Apache-2.0" ]

1

2021-02-23T04:34:48.000Z

#!/usr/bin/env python3 import os import sys import configparser import fileinput import netorlogging import datetime from shutil import copyfile def _netor_config(): """ It is used for updating the Neto home directory in the configuration files and scripts. This is useful, if you want to have 2 working ...

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0.123583

0.648897

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0.525314

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0

0.000983

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18,023

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0

1

0.060241

false

0

0.028112

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0.092369

0.128514

0

null

0

null

0

1

0

61edb2c25c99c318b707a55fcdfcaaf007b47999

4,780

py

Python

test/api/mutations/test_check_repository_by_commit.py

uliana291/the-zoo

a15a4162c39553abe91224f4feff5d3b66f9413e

[ "MIT" ]

null

test/api/mutations/test_check_repository_by_commit.py

uliana291/the-zoo

a15a4162c39553abe91224f4feff5d3b66f9413e

[ "MIT" ]

null

test/api/mutations/test_check_repository_by_commit.py

uliana291/the-zoo

a15a4162c39553abe91224f4feff5d3b66f9413e

[ "MIT" ]

null

import pytest from zoo.auditing.models import Issue from zoo.auditing.check_discovery import Effort, Kind, Severity pytestmark = pytest.mark.django_db @pytest.fixture def scenario(mocker, repository_factory, issue_factory, check_factory, fake_path): owner, name, sha = "games", "lemmings", "GINLNNIIJL" repo...

34.142857

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4,780

5.385932

0.19962

0.039534

0.022944

0.028239

0.43911

0.326509

0.310272

0.222379

0.163784

0

0.000826

0.240167

4,780

139

89

34.388489

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0.011297

0

0.192661

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0.042567

0

0.045872

1

0.045872

false

0

0.027523

0

0.073395

0

null

0

null

0

1

0

61f65e88bb74b76264401d01893c2004742b5044

1,919

py

Python

build.py

micklenguyen/hw2-scripting

3603a2c4d7518890eacc4f071f347f90dd295ee6

[ "MIT" ]

null

build.py

micklenguyen/hw2-scripting

3603a2c4d7518890eacc4f071f347f90dd295ee6

[ "MIT" ]

null

build.py

micklenguyen/hw2-scripting

3603a2c4d7518890eacc4f071f347f90dd295ee6

[ "MIT" ]

null

def main(): content_pages = auto_populate_content_files() for page in content_pages: filepath = page['filepath'] output = page['output'] title = page['title'] # Read content of html pages content = open(filepath).read() # Invoke function to return finished_page (base.html with filled in content) fi...

24.922078

97

0.730589

281

1,919

4.790036

0.266904

0.053492

0.035661

0.042348

0.181278

0.142645

0

0.000628

0.16988

1,919

77

98

24.922078

0.844319

0.364773

0

0.05

0

0.077944

0

1

0.1

false

0

0.075

0

0.225

0

null

0

null

0

1

0

61f94a0bece7deb448882a08f6a458e64ef93c8e

35,113

py

Python

src/jote/jote.py

InformaticsMatters/data-manager-job-tester

f8915e005f16685d159535a2455628eb1d7ac518

[ "MIT" ]

null

src/jote/jote.py

InformaticsMatters/data-manager-job-tester

f8915e005f16685d159535a2455628eb1d7ac518

[ "MIT" ]

1

2022-01-28T10:06:28.000Z

2022-01-31T14:51:52.000Z

src/jote/jote.py

InformaticsMatters/data-manager-job-tester

f8915e005f16685d159535a2455628eb1d7ac518

[ "MIT" ]

null

#!/usr/bin/env python """Informatics Matters Job Tester (JOTE). Get help running this utility with 'jote --help' """ import argparse import os import shutil import stat from stat import S_IRGRP, S_IRUSR, S_IWGRP, S_IWUSR import subprocess import sys from typing import Any, Dict, List, Optional, Tuple from munch impo...

35.183367

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0.584741

4,265

35,113

4.637749

0.124033

0.034176

0.012235

0.016987

0.277199

0.207634

0.14909

0.108443

0.088827

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0

0.003386

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35,113

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0

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0.196027

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0

0.023634

1

0.023634

false

0.013294

0.022157

0

0.100443

0.134417

0

null

0

null

0

1

0

61f9d61ddf16dfe982de5cd443717f5e39b05a82

7,027

py

Python

transforms/waveform.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

6

2021-02-18T05:18:17.000Z

2022-02-19T02:49:32.000Z

transforms/waveform.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

null

transforms/waveform.py

koukyo1994/kaggle-rfcx

c3573d014d99312b58882e7b939de6c1055129b1

[ "MIT" ]

2

2021-02-18T11:31:50.000Z

2022-02-19T02:49:07.000Z

import colorednoise as cn import librosa import numpy as np def get_waveform_transforms(config: dict, phase: str): transforms = config.get("transforms") if transforms is None: return None else: if transforms[phase] is None: return None trns_list = [] for trns_co...

31.231111

104

0.605237

974

7,027

4.106776

0.13347

0.06875

0.028

0.056

0.56375

0.53925

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0.45725

0.414

0

0.019654

0.268678

7,027

224

105

31.370536

0.758708

0

0.479042

0

0.028889

0

0.011976

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0.173653

false

0

0.017964

0.011976

0.407186

0

null

0

null

0

1

0

61fa91668b7e930a4d4c6429b8910bfdb88b86e5

1,095

py

Python

plyplus/test/test_trees.py

rubycandy/test-plyplus

ced9377e6c26dcf308dd9f480411af9c8dbe9c56

[ "MIT" ]

169

2015-01-16T12:48:23.000Z

2021-12-09T16:00:13.000Z

plyplus/test/test_trees.py

rubycandy/test-plyplus

ced9377e6c26dcf308dd9f480411af9c8dbe9c56

[ "MIT" ]

26

2015-01-23T16:30:28.000Z

2018-07-07T09:14:18.000Z

plyplus/test/test_trees.py

rubycandy/test-plyplus

ced9377e6c26dcf308dd9f480411af9c8dbe9c56

[ "MIT" ]

53

2015-01-22T20:20:10.000Z

2021-12-05T13:39:57.000Z

from __future__ import absolute_import import unittest import logging import copy import pickle from plyplus.plyplus import STree logging.basicConfig(level=logging.INFO) class TestSTrees(unittest.TestCase): def setUp(self): self.tree1 = STree('a', [STree(x, y) for x, y in zip('bcd', 'xyz')]) def te...

24.886364

76

0.613699

149

1,095

4.342282

0.315436

0.083462

0.098918

0.12983

0.293663

0.244204

0.139104

0

0.012531

0.271233

1,095

43

77

25.465116

0.798246

0

0.272727

0

0.013699

0

0.212121

1

0.151515

false

0

0.181818

0

0.363636

0

null

0

null

0

1

0

61fae1b5b671ac52f912549b4f9c186cb38b0495

1,563

py

Python

misaligned.py

clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya

1861f2db11a508e9c1e2f7ce351d11d87c0c734c

[ "MIT" ]

null

misaligned.py

clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya

1861f2db11a508e9c1e2f7ce351d11d87c0c734c

[ "MIT" ]

null

misaligned.py

clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya

1861f2db11a508e9c1e2f7ce351d11d87c0c734c

[ "MIT" ]

null

MAJOR_COLORS = ["White", "Red", "Black", "Yellow", "Violet"] MINOR_COLORS = ["Blue", "Orange", "Green", "Brown", "Slate"] def get_color_from_pair_number(pair_number): zero_based_pair_number = pair_number - 1 major_index = zero_based_pair_number // len(MINOR_COLORS) minor_index = zero_based_pair_number % ...

36.348837

129

0.685861

237

1,563

4.122363

0.303797

0.139202

0.171955

0.065507

0.325486

0.28045

0.18219

0.104401

0

0.021622

0.171465

1,563

42

130

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0.732819

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0

0.064516

0

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0

0.032258

1

0.096774

false

0

0.129032

0.16129

0

null

0

null

0

1

0

61fe5553a131ad8494dec157c4505511e27beecb

611

py

Python

examples/embed_cmd.py

bentettmar/discord.py-self_embed

4253ea7977b17972de2e15de3606a183f70b22b0

[ "MIT" ]

2

2022-03-31T04:06:05.000Z

2022-03-31T16:39:40.000Z

examples/embed_cmd.py

bentettmar/discord.py-self_embed

4253ea7977b17972de2e15de3606a183f70b22b0

[ "MIT" ]

3

2022-03-29T11:58:16.000Z

2022-03-31T16:41:13.000Z

examples/embed_cmd.py

bentettmar/discord.py-self_embed

4253ea7977b17972de2e15de3606a183f70b22b0

[ "MIT" ]

null

import discord_self_embed from discord.ext import commands bot = commands.Bot(command_prefix=".", self_bot=True) @bot.event async def on_ready(): print("ready") @bot.command(name="embed") async def embed_cmd(ctx): embed = discord_self_embed.Embed("discord.py-self_embed", description="A way for selfbots to se...

33.944444

193

0.749591

97

611

4.57732

0.57732

0.081081

0.072072

0.081081

0

0.007463

0.12275

611

17

194

35.941176

0.820896

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0

0.283019

0.039623

0

1

0

false

0

0.166667

0

0.166667

0.083333

0

null

0

null

0

1

0

1101b9ca063e23e2fd57ae664425f377c0723f09

8,823

py

Python

analysis.py

liunx/lmms

ea54f64934d90887a38446ef02ed2baed91548db

[ "MIT" ]

null

analysis.py

liunx/lmms

ea54f64934d90887a38446ef02ed2baed91548db

[ "MIT" ]

null

analysis.py

liunx/lmms

ea54f64934d90887a38446ef02ed2baed91548db

[ "MIT" ]

null

import re import copy from operator import itemgetter import music21 as m21 class Core: meter_len = 192 notes = {'C': 60, 'D': 62, 'E': 64, 'F': 65, 'G': 67, 'A': 69, 'B': 71} percussion = { 35: 'AcousticBassDrum', 36: 'BassDrum1', 37: 'SideStick', 38: 'AcousticSnare', 39: 'HandClap', 40: ...

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null

0

null

0

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11025303e524cbae387748d4c806d2a09276590a

6,302

py

Python

tests/server/utils.py

csadorf/aiida-optimade

99ee1113cfc109a40a83bb43af8d07ce7e1601e6

[ "MIT" ]

null

tests/server/utils.py

csadorf/aiida-optimade

99ee1113cfc109a40a83bb43af8d07ce7e1601e6

[ "MIT" ]

null

tests/server/utils.py

csadorf/aiida-optimade

99ee1113cfc109a40a83bb43af8d07ce7e1601e6

[ "MIT" ]

null

# pylint: disable=no-name-in-module,too-many-arguments import json import re import typing from urllib.parse import urlparse import warnings from requests import Response from fastapi.testclient import TestClient from pydantic import BaseModel import pytest from starlette import testclient from optimade import __api...

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null

0

null

0

1

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11026c0c5eee347310533201a00163d72346ee00

3,673

py

Python

super_topic/main.py

susmote/WeiboTools

659232b4525bcbedf350da1127d382ff6c6e9e71

[ "MIT" ]

3

2018-11-11T22:07:23.000Z

2019-03-08T08:20:31.000Z

super_topic/main.py

susmote/WeiboTools

659232b4525bcbedf350da1127d382ff6c6e9e71

[ "MIT" ]

null

super_topic/main.py

susmote/WeiboTools

659232b4525bcbedf350da1127d382ff6c6e9e71

[ "MIT" ]

1

2021-08-31T06:44:54.000Z

# -*- coding: utf-8 -*- """ Created on 2018/11/5 @author: susmote """ import time import requests import json # 查看自己关注的超话 if __name__ == '__main__': username = input("请输入用户名: ") password = input("请输入密码: ") login_url = "https://passport.weibo.cn/sso/login" headers = { "Referer": "https://...

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null

0

null

0

1

0

11028d4ec017320409e77b44e5459cd4e2c1cd81

1,163

py

Python

websupportsk_ddns/notifiers.py

JozefGalbicka/websupportsk-ddns

8fe1408121dc5f14f42e6603d9a50bcaa5afabee

[ "MIT" ]

2

2021-07-28T09:09:58.000Z

2021-07-28T10:28:45.000Z

websupportsk_ddns/notifiers.py

JozefGalbicka/websupportsk-ddns

8fe1408121dc5f14f42e6603d9a50bcaa5afabee

[ "MIT" ]

1

2021-11-14T11:31:38.000Z

2021-11-19T22:38:44.000Z

websupportsk_ddns/notifiers.py

JozefGalbicka/websupportsk-ddns

8fe1408121dc5f14f42e6603d9a50bcaa5afabee

[ "MIT" ]

null

import requests import logging logger = logging.getLogger(__name__) def send_notifications(notifiers, message): for notifier in notifiers: notifier.send_notification(message) class Pushover: def __init__(self, api_token, user_key): self.api_token = api_token self.user_key = user_key...

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0

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null

0

null

0

1

0

11070c63ba36e05b385352144090c398a2ed7415

15,806

py

Python

code/plotting/plot_lsst.py

modichirag/21cm_cleaning

1615fea4e2d617bb6ef00770a49698901227daa8

[ "MIT" ]

1

2019-08-27T10:05:41.000Z

code/plotting/plot_lsst.py

modichirag/21cm_cleaning

1615fea4e2d617bb6ef00770a49698901227daa8

[ "MIT" ]

null

code/plotting/plot_lsst.py

modichirag/21cm_cleaning

1615fea4e2d617bb6ef00770a49698901227daa8

[ "MIT" ]

null

#!/usr/bin/env python3 # # Plots the power spectra and Fourier-space biases for the HI. # import warnings from mpi4py import MPI rank = MPI.COMM_WORLD.rank #warnings.filterwarnings("ignore") if rank!=0: warnings.filterwarnings("ignore") import numpy as np import os, sys import matplotlib.pyplot as plt fro...

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null

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null

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1

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1107964a13a8c587e9dedd0f0fb6a2581ecb0887

3,999

py

Python

ndfinance/strategies/basic/__init__.py

gomtinQQ/NDFinance

522bf0486e5f5337c522d0e34b088f386c7c3290

[ "MIT" ]

35

2020-09-26T16:31:45.000Z

2022-01-01T12:12:21.000Z

ndfinance/strategies/basic/__init__.py

gomtinQQ/NDFinance

522bf0486e5f5337c522d0e34b088f386c7c3290

[ "MIT" ]

1

2020-09-27T08:54:23.000Z

ndfinance/strategies/basic/__init__.py

gomtinQQ/NDFinance

522bf0486e5f5337c522d0e34b088f386c7c3290

[ "MIT" ]

8

2020-10-06T23:51:22.000Z

2022-02-16T12:11:10.000Z

from ndfinance.strategies import Strategy, PeriodicRebalancingStrategy from ndfinance.brokers.base import order from ndfinance.brokers.base.order import * from ndfinance.strategies.utils import * class SameWeightBuyHold(Strategy): def __init__(self): super(SameWeightBuyHold, self).__init__() self....

44.932584

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0.363496

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0.182518

0

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3,999

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0.25

0

null

0

null

0

1

0

110af0aa9cc468fbee2f90b29540e3ee61251308

1,975

py

Python

daemon.py

hletrd/TRIPOL_polarizer

124d202bf876635bd402306fb5d7572fd45ce599

[ "MIT" ]

null

daemon.py

hletrd/TRIPOL_polarizer

124d202bf876635bd402306fb5d7572fd45ce599

[ "MIT" ]

null

daemon.py

hletrd/TRIPOL_polarizer

124d202bf876635bd402306fb5d7572fd45ce599

[ "MIT" ]

null

from flask import Flask, render_template, send_from_directory import serial import serial.tools.list_ports import threading app = Flask(__name__) def run_server(): app.run(host=bind_ip, debug=True, port=bind_port) @app.route('/') def index(): return render_template('_basic.html', ports=serialhandler.get_port_list(...

23.511905

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0

0.025088

0.132152

1,975

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false

0

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0.384615

0

null

0

null

0

1

0

110ec99e58e5ce9d328a5556af8ee117cc5ebd9a

3,304

py

Python

src/utils.py

senadkurtisi/neural-style-transfer

0048d8b184959de095f0821f63205c8ce3ff2dff

[ "MIT" ]

null

src/utils.py

senadkurtisi/neural-style-transfer

0048d8b184959de095f0821f63205c8ce3ff2dff

[ "MIT" ]

null

src/utils.py

senadkurtisi/neural-style-transfer

0048d8b184959de095f0821f63205c8ce3ff2dff

[ "MIT" ]

null

from PIL import Image import numpy as np import torch import torchvision.transforms.transforms as transforms import os from config import cfg def preprocess_img(img_path): """ Loads the desired image and prepares it for VGG19 model. Parameters: img_path: path to the image Returns: ...

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0

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0.339891

3,304

110

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1

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false

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0

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null

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1

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