xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

c915f05bb0ce24d1fe5469fea260ce3e99ceb13c

5,144

py

Python

bot/exts/utilities/twemoji.py

thatbirdguythatuknownot/sir-lancebot

7fd74af261385bdf7d989f459bec4c9b0cb4392a

[ "MIT" ]

77

2018-11-19T18:38:50.000Z

2020-11-16T22:49:59.000Z

bot/exts/utilities/twemoji.py

thatbirdguythatuknownot/sir-lancebot

7fd74af261385bdf7d989f459bec4c9b0cb4392a

[ "MIT" ]

373

2018-11-17T16:06:06.000Z

2020-11-20T22:55:03.000Z

bot/exts/utilities/twemoji.py

thatbirdguythatuknownot/sir-lancebot

7fd74af261385bdf7d989f459bec4c9b0cb4392a

[ "MIT" ]

165

2018-11-19T04:04:44.000Z

2020-11-18T17:53:28.000Z

import logging import re from typing import Literal, Optional import discord from discord.ext import commands from emoji import UNICODE_EMOJI_ENGLISH, is_emoji from bot.bot import Bot from bot.constants import Colours, Roles from bot.utils.decorators import whitelist_override from bot.utils.extensions import invoke_h...

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py

Python

experimentations/20-climate-data/test-perf.py

Kitware/spark-mpi-experimentation

9432b63130059fc54843bc5ca6f2f5510e5a4098

[ "BSD-3-Clause" ]

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2017-06-15T16:36:01.000Z

2021-12-25T09:13:22.000Z

experimentations/20-climate-data/test-perf.py

Kitware/spark-mpi-experimentation

9432b63130059fc54843bc5ca6f2f5510e5a4098

[ "BSD-3-Clause" ]

1

2018-09-28T23:32:42.000Z

experimentations/20-climate-data/test-perf.py

Kitware/spark-mpi-experimentation

9432b63130059fc54843bc5ca6f2f5510e5a4098

[ "BSD-3-Clause" ]

6

2017-07-22T00:10:00.000Z

2021-12-25T09:13:11.000Z

from __future__ import print_function import os import sys import time import gdal import numpy as np # ------------------------------------------------------------------------- # Files to process # ------------------------------------------------------------------------- fileNames = [ 'tasmax_day_BCSD_rcp85_r1i...

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c91fcc058836389aa81c0420f1fedf01f1106ff3

1,699

py

Python

similarity.py

Blair-Johnson/faceswap

79b75f7f112acb3bf6b228116facc4d0812d2099

[ "MIT" ]

null

similarity.py

Blair-Johnson/faceswap

79b75f7f112acb3bf6b228116facc4d0812d2099

[ "MIT" ]

null

similarity.py

Blair-Johnson/faceswap

79b75f7f112acb3bf6b228116facc4d0812d2099

[ "MIT" ]

1

2021-11-04T08:21:07.000Z

# Blair Johnson 2021 from facenet_pytorch import InceptionResnetV1, MTCNN import numpy as np def create_embeddings(images): ''' Take an iterable of image candidates and return an iterable of image embeddings. ''' if type(images) != list: images = [images] extractor = MTCNN() encoder ...

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c920d8ceac18d8c9ff46fde63a7fa287e05e877b

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py

Python

opentamp/domains/robot_manipulation_domain/generate_base_prob.py

Algorithmic-Alignment-Lab/openTAMP

f0642028d551d0436b3a3dbc3bfb2f23a00adc14

[ "MIT" ]

4

2022-02-13T15:52:18.000Z

2022-03-26T17:33:13.000Z

opentamp/domains/robot_manipulation_domain/generate_base_prob.py

Algorithmic-Alignment-Lab/OpenTAMP

eecb950bd273da8cbed4394487630e8453f2c242

[ "MIT" ]

1

2022-02-13T22:48:09.000Z

opentamp/domains/robot_manipulation_domain/generate_base_prob.py

Algorithmic-Alignment-Lab/OpenTAMP

eecb950bd273da8cbed4394487630e8453f2c242

[ "MIT" ]

null

from IPython import embed as shell import itertools import numpy as np import random # SEED = 1234 NUM_PROBS = 1 NUM_CLOTH = 4 filename = "probs/base_prob.prob" GOAL = "(RobotAt baxter robot_end_pose)" # init Baxter pose BAXTER_INIT_POSE = [0, 0, 0] BAXTER_END_POSE = [0, 0, 0] R_ARM_INIT = [0, 0, 0, 0, 0, 0, 0] # [...

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py

Python

tests/views/test_hsva.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

5

2021-06-10T21:12:16.000Z

2022-01-14T05:04:03.000Z

tests/views/test_hsva.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

null

tests/views/test_hsva.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

null

import pytest from colorviews import AlphaColor class TestGetAttr: @pytest.mark.parametrize("attr, expected", [ ("h", 0.75), ("s", 0.47), ("v", 0.29), ("a", 0.79), ]) def test_valid(self, attr, expected): color = AlphaColor.from_hsva(0.75, 0.47, 0.29, 0.79) ...

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py

Python

app/__init__.py

Cinquiom/fifty-cents-frontend

946f564a87127f5820111321cd48441cc414d277

[ "MIT" ]

null

app/__init__.py

Cinquiom/fifty-cents-frontend

946f564a87127f5820111321cd48441cc414d277

[ "MIT" ]

null

app/__init__.py

Cinquiom/fifty-cents-frontend

946f564a87127f5820111321cd48441cc414d277

[ "MIT" ]

null

import random, logging from collections import Counter from flask import Flask, session, request, render_template, jsonify from app.util import unflatten from app.fiftycents import FiftyCentsGame from app.fiftycents import Card log = logging.getLogger('werkzeug') log.setLevel(logging.ERROR) app = Flask(...

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c921d773c35312ecebe3d4b6eaaaef9e999e9c07

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py

Python

bluvo_test.py

JanJaapKo/BlUVO

2a72b06a56069fee5bd118a12b846513096014b1

[ "MIT" ]

null

bluvo_test.py

JanJaapKo/BlUVO

2a72b06a56069fee5bd118a12b846513096014b1

[ "MIT" ]

null

bluvo_test.py

JanJaapKo/BlUVO

2a72b06a56069fee5bd118a12b846513096014b1

[ "MIT" ]

null

import time import logging import pickle import json import consolemenu from generic_lib import georeverse, geolookup from bluvo_main import BlueLink from tools.stamps import postOffice from params import * # p_parameters are read logging.basicConfig(format='%(asctime)s - %(levelname)-8s - %(filename)-18s - %(messag...

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c92214401251c6b4745f3ba05c668f2913227e7f

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py

Python

lda/test3/interpret_topics.py

kaiiam/amazon-continuation

9faaba80235614e6eea3e305c423975f2ec72e3e

[ "MIT" ]

null

lda/test3/interpret_topics.py

kaiiam/amazon-continuation

9faaba80235614e6eea3e305c423975f2ec72e3e

[ "MIT" ]

null

lda/test3/interpret_topics.py

kaiiam/amazon-continuation

9faaba80235614e6eea3e305c423975f2ec72e3e

[ "MIT" ]

1

2019-05-28T21:49:45.000Z

#!/usr/bin/env python3 """ Author : kai Date : 2019-06-26 Purpose: Rock the Casbah """ import argparse import sys import re import csv # -------------------------------------------------- def get_args(): """get command-line arguments""" parser = argparse.ArgumentParser( description='Argparse Python ...

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null

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0

c924841b1d689ef522dd4926df95b7101d1bb341

292

py

Python

app/users/urls.py

ManojKumarMRK/recipe-app-api

f518e91fc335c46eb1034d865256c94bb3e56b32

[ "MIT" ]

null

app/users/urls.py

ManojKumarMRK/recipe-app-api

f518e91fc335c46eb1034d865256c94bb3e56b32

[ "MIT" ]

null

app/users/urls.py

ManojKumarMRK/recipe-app-api

f518e91fc335c46eb1034d865256c94bb3e56b32

[ "MIT" ]

null

from django.urls import path from users import views app_name = 'users' urlpatterns = [ path('create/',views.CreateUserView.as_view(),name='create'), path('token/',views.CreateTokenView.as_view(),name='token'), path('me/', views.ManageUserView.as_view(),name='me'), ]

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c92510f03e8c86ab8acb7443fa38d2785d4a3bca

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py

Python

archive/visualization/network.py

ajrichards/bayesian-examples

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

2

2016-01-27T08:51:23.000Z

2017-04-17T02:21:34.000Z

archive/visualization/network.py

ajrichards/notebook

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

null

archive/visualization/network.py

ajrichards/notebook

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

null

import matplotlib as mpl import matplotlib.pyplot as plt import networkx as nx import pandas as pd def get_a_dict(filepath): df = pd.read_csv(filepath).iloc[:, 1:13] theme_dict = {} interesting_theme_idx = [3, 6, 11, 15, 16] theme_names = ['Horrendous IVR', 'Mobile Disengagement', "Couldn't Find it O...

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c92dbb28d5fa5849ee22ef3b509bd866ce701e9e

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py

Python

scripts/previousScripts-2015-12-25/getVariableInfo.py

mistryrakesh/SMTApproxMC

7c97e10c46c66e52c4e8972259610953c3357695

[ "MIT" ]

null

scripts/previousScripts-2015-12-25/getVariableInfo.py

mistryrakesh/SMTApproxMC

7c97e10c46c66e52c4e8972259610953c3357695

[ "MIT" ]

null

scripts/previousScripts-2015-12-25/getVariableInfo.py

mistryrakesh/SMTApproxMC

7c97e10c46c66e52c4e8972259610953c3357695

[ "MIT" ]

null

#!/home/rakeshmistry/bin/Python-3.4.3/bin/python3 # @author: rakesh mistry - 'inspire' # @date: 2015-08-06 import sys import re import os import math # Function: parseSmt2File def parseSmt2FileVariables(smt2File): compiledVarPattern = re.compile("[ \t]*\(declare-fun") varMap = {} for line in smt2File: ...

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c92faeda80f7623d46a23810d5c128754efcada2

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py

Python

simplified_scrapy/core/spider.py

yiyedata/simplified-scrapy

ccfdc686c53b2da3dac733892d4f184f6293f002

[ "Apache-2.0" ]

7

2019-08-11T10:31:03.000Z

2021-03-08T10:07:52.000Z

simplified_scrapy/core/spider.py

yiyedata/simplified-scrapy

ccfdc686c53b2da3dac733892d4f184f6293f002

[ "Apache-2.0" ]

1

2020-12-29T02:30:18.000Z

2021-01-25T02:49:37.000Z

simplified_scrapy/core/spider.py

yiyedata/simplified-scrapy

ccfdc686c53b2da3dac733892d4f184f6293f002

[ "Apache-2.0" ]

4

2019-10-22T02:14:35.000Z

2021-05-13T07:01:56.000Z

#!/usr/bin/python #coding=utf-8 import json, re, logging, time, io, os import sys from simplified_scrapy.core.config_helper import Configs from simplified_scrapy.core.sqlite_cookiestore import SqliteCookieStore from simplified_scrapy.core.request_helper import requestPost, requestGet, getResponseStr, extractHtml from s...

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py

Python

Bugscan_exploits-master/exp_list/exp－2469.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

11

2020-05-30T13:53:49.000Z

2021-03-17T03:20:59.000Z

Bugscan_exploits-master/exp_list/exp－2469.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

6

2020-05-13T03:25:18.000Z

2020-07-21T06:24:16.000Z

Bugscan_exploits-master/exp_list/exp－2469.py

csadsl/poc_exp

e3146262e7403f19f49ee2db56338fa3f8e119c9

[ "MIT" ]

6

2020-05-30T13:53:51.000Z

2020-12-01T21:44:26.000Z

#!/usr/bin/evn python #--coding:utf-8--*-- #Name:天睿电子图书管理系统系统10处注入打包避免重复 #Refer:http://www.wooyun.org/bugs/wooyun-2015-0120852/ #Author:xq17 def assign(service,arg): if service=="tianrui_lib": return True,arg def audit(arg): urls = [ arg + 'gl_tj_0.asp?id=1', arg + '...

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py

Python

moona/lifespan/handlers.py

katunilya/mona

8f44a9e06910466afbc9b2bcfb42144dcd25ed5a

[ "MIT" ]

2

2022-03-26T15:27:31.000Z

2022-03-28T22:00:32.000Z

moona/lifespan/handlers.py

katunilya/mona

8f44a9e06910466afbc9b2bcfb42144dcd25ed5a

[ "MIT" ]

null

moona/lifespan/handlers.py

katunilya/mona

8f44a9e06910466afbc9b2bcfb42144dcd25ed5a

[ "MIT" ]

null

from __future__ import annotations from copy import deepcopy from dataclasses import dataclass from typing import Callable, TypeVar from pymon import Future, Pipe, cmap, creducel, hof_2, this_async from pymon.core import returns_future from moona.lifespan import LifespanContext LifespanFunc = Callable[[LifespanCont...

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c9340f2d3c1db26d4655357d65aa1d342c92a30f

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py

Python

bot/cogs/birthday/birthday.py

Qtopia-Team/luci

9b7f1966050910d50f04cbd9733d1c77ffbb8cba

[ "MIT" ]

5

2021-04-27T10:50:54.000Z

2021-08-02T09:11:56.000Z

bot/cogs/birthday/birthday.py

Qtopia-Team/luci

9b7f1966050910d50f04cbd9733d1c77ffbb8cba

[ "MIT" ]

2

2021-06-17T14:53:13.000Z

2021-06-19T02:14:36.000Z

bot/cogs/birthday/birthday.py

luciferchase/luci

91e30520cfc60177b9916d3f3d41678f590ecdfc

[ "MIT" ]

4

2021-06-11T12:02:42.000Z

2021-06-30T16:56:46.000Z

import discord from discord.ext import commands import json import os import psycopg2 import pytz class Birthday(commands.Cog): """Never forget birthday of your friends""" def __init__(self): # Set up database DATABASE_URL = os.environ["DATABASE_URL"] self.dbcon = psycopg2.connect(D...

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null

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null

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1

0

c9359b5500958801527c3395149655f6f66f2d7a

1,620

py

Python

ingestion/producer1.py

aspk/ratsadtarget

e93cd3f71000ec409e79e6e0c873578f0e8fa8b3

[ "Apache-2.0" ]

1

2020-03-03T18:46:15.000Z

ingestion/producer1.py

Keyology/ratsadtarget

e93cd3f71000ec409e79e6e0c873578f0e8fa8b3

[ "Apache-2.0" ]

null

ingestion/producer1.py

Keyology/ratsadtarget

e93cd3f71000ec409e79e6e0c873578f0e8fa8b3

[ "Apache-2.0" ]

1

2020-03-03T18:46:18.000Z

# producer to stream data into kafka from boto.s3.connection import S3Connection import datetime import json import bz2 from kafka import KafkaProducer from kafka.errors import KafkaError import time import pytz conn = S3Connection() key = conn.get_bucket('aspk-reddit-posts').get_key('comments/RC_2017-11.bz2') produc...

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null

0

null

0

1

0

c9380c3f618a01051fb6b644e3bcd12fce9edfdc

7,931

py

Python

tests/test_data/test_data_core.py

shaoeric/hyperparameter_hunter

3709d5e97dd23efa0df1b79982ae029789e1af57

[ "MIT" ]

688

2018-06-01T23:43:28.000Z

2022-03-23T06:37:20.000Z

tests/test_data/test_data_core.py

shaoeric/hyperparameter_hunter

3709d5e97dd23efa0df1b79982ae029789e1af57

[ "MIT" ]

188

2018-07-09T23:22:31.000Z

2021-04-01T07:43:46.000Z

tests/test_data/test_data_core.py

shaoeric/hyperparameter_hunter

3709d5e97dd23efa0df1b79982ae029789e1af57

[ "MIT" ]

100

2018-08-28T03:30:47.000Z

2022-01-25T04:37:11.000Z

################################################## # Import Own Assets ################################################## from hyperparameter_hunter.data.data_core import BaseDataChunk, BaseDataset, NullDataChunk ################################################## # Import Miscellaneous Assets #########################...

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null

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c93c9aaedb099246f931a93b0f3660c7f68b5819

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py

Python

src/models/zeroshot.py

mmatena/wise-ft

2630c366d252ad32db82ea886f7ab6a752142792

[ "MIT" ]

79

2021-10-01T22:29:51.000Z

2022-03-30T04:19:58.000Z

src/models/zeroshot.py

mmatena/wise-ft

2630c366d252ad32db82ea886f7ab6a752142792

[ "MIT" ]

2

2021-11-18T19:50:59.000Z

2022-01-08T00:57:24.000Z

src/models/zeroshot.py

mmatena/wise-ft

2630c366d252ad32db82ea886f7ab6a752142792

[ "MIT" ]

10

2021-10-14T18:29:59.000Z

2022-03-27T12:40:18.000Z

import os import torch from tqdm import tqdm import numpy as np import clip.clip as clip import src.templates as templates import src.datasets as datasets from src.args import parse_arguments from src.models.modeling import ClassificationHead, ImageEncoder, ImageClassifier from src.models.eval import evaluate de...

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c93cab934e2e3f25cd7169e11400beb6e6d43570

425

py

Python

app/main/__init__.py

csmcallister/beular

219bcd552c1303eb0557f3ef56d44355a932399e

[ "CNRI-Python" ]

null

app/main/__init__.py

csmcallister/beular

219bcd552c1303eb0557f3ef56d44355a932399e

[ "CNRI-Python" ]

null

app/main/__init__.py

csmcallister/beular

219bcd552c1303eb0557f3ef56d44355a932399e

[ "CNRI-Python" ]

null

from flask import Blueprint bp = Blueprint('main', __name__) @bp.after_app_request def after_request(response): """Cache Bust """ cache_cont = "no-cache, no-store, must-revalidate, public, max-age=0" response.headers["Cache-Control"] = cache_cont response.headers["Expires"] = 0 re...

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0

null

0

null

0

1

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c9418c993a05d0182f414df4de245fd5f5288aa8

1,470

py

Python

setup.py

jmacgrillen/perspective

6e6e833d8921c54c907dd6314d4bc02ba3a3c0b6

[ "MIT" ]

null

setup.py

jmacgrillen/perspective

6e6e833d8921c54c907dd6314d4bc02ba3a3c0b6

[ "MIT" ]

null

setup.py

jmacgrillen/perspective

6e6e833d8921c54c907dd6314d4bc02ba3a3c0b6

[ "MIT" ]

null

#! /usr/bin/env python -*- coding: utf-8 -*- """ Name: setup.py Desscription: Install the maclib package. Version: 1 - Inital release Author: J.MacGrillen <macgrillen@gmail.com> Copyright: Copyright (c) John MacGrillen. All rights reserved. """ from setuptool...

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null

0

null

0

1

0

c943169325309fd0984d9e08fbc50df17f771916

2,159

py

Python

etl/vector/process_all.py

nismod/oi-risk-vis

a5c7460a8060a797dc844be95d5c23689f42cd17

[ "MIT" ]

2

2020-09-29T15:52:48.000Z

2021-03-31T02:58:53.000Z

etl/vector/process_all.py

nismod/oi-risk-vis

a5c7460a8060a797dc844be95d5c23689f42cd17

[ "MIT" ]

41

2021-05-12T17:12:14.000Z

2022-03-17T10:49:20.000Z

etl/vector/process_all.py

nismod/infra-risk-vis

1e5c28cced578d8bd9c78699e9038ecd66f47cf7

[ "MIT" ]

null

#!/bin/env python3 from argparse import ArgumentParser import csv import os from pathlib import Path import subprocess import sys this_directory = Path(__file__).parent.resolve() vector_script_path = this_directory / 'prepare_vector.sh' def run_single_processing(in_file_path: Path, out_file_path: Path, layer_name: ...

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0

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false

0

0.157895

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0.078947

0

null

0

null

0

1

0

c944a392c3c65b876eac48378aa9aaaa59c4cea9

1,688

py

Python

django/week9/main/models.py

yrtby/Alotech-Fullstack-Bootcamp-Patika

e2fd775e2540b8d9698dcb7dc38f84a6d7912e8d

[ "MIT" ]

1

2021-11-05T09:45:25.000Z

django/week9/main/models.py

yrtby/Alotech-Fullstack-Bootcamp-Patika

e2fd775e2540b8d9698dcb7dc38f84a6d7912e8d

[ "MIT" ]

null

django/week9/main/models.py

yrtby/Alotech-Fullstack-Bootcamp-Patika

e2fd775e2540b8d9698dcb7dc38f84a6d7912e8d

[ "MIT" ]

3

2021-11-07T07:16:30.000Z

2021-12-07T20:22:59.000Z

from django.db import models from django.contrib.auth.models import User from django.core.validators import MinLengthValidator # Create your models here. class Post(models.Model): image = models.ImageField(upload_to='uploads/') content = models.TextField(max_length=200, validators=[MinLengthValidator(10)]) ...

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null

0

null

0

1

0

c9463207e60b37b4cf9f338b3635a5669f81cf71

286

py

Python

codewars/6kyu/dinamuh/CountingDuplicates/main.py

dinamuh/Training_one

d18e8fb12608ce1753162c20252ca928c4df97ab

[ "MIT" ]

null

codewars/6kyu/dinamuh/CountingDuplicates/main.py

dinamuh/Training_one

d18e8fb12608ce1753162c20252ca928c4df97ab

[ "MIT" ]

2

2019-01-22T10:53:42.000Z

2019-01-31T08:02:48.000Z

codewars/6kyu/dinamuh/CountingDuplicates/main.py

dinamuh/Training_one

d18e8fb12608ce1753162c20252ca928c4df97ab

[ "MIT" ]

13

2019-01-22T10:37:42.000Z

2019-01-25T13:30:43.000Z

def duplicate_count(text): x = set() y = set() for char in text: char = char.lower() if char in x: y.add(char) x.add(char) return len(y) def duplicate_count2(s): return len([c for c in set(s.lower()) if s.lower().count(c) > 1])

20.428571

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0.363636

0

null

0

null

0

1

0

c947e59db3be68e0dcce4600b6cfeb33b848886c

375

py

Python

tests/test_dir_dataset.py

gimlidc/igre

bf3425e838cca3d1fa8254a2550ecb44774ee0ef

[ "MIT" ]

1

2021-09-24T09:12:06.000Z

tests/test_dir_dataset.py

gimlidc/igre

bf3425e838cca3d1fa8254a2550ecb44774ee0ef

[ "MIT" ]

null

tests/test_dir_dataset.py

gimlidc/igre

bf3425e838cca3d1fa8254a2550ecb44774ee0ef

[ "MIT" ]

null

import stable.modalities.dir_dataset as dataset import os.path def test_load_all_images(): srcdir = os.path.join("tests", "assets") data, metadata = dataset.load_all_images(srcdir) assert metadata["resolutions"] == [(125, 140)] assert data[0].shape[2] == 2 assert metadata["filenames"][0] == ["mari...

34.090909

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0

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375

10

100

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0

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0

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0

0.375

0

null

0

null

0

1

0

c949f74729063705c3b6e636bb65a45813ce66bb

1,118

py

Python

sample/main.py

qjw/flasgger

d43644da1fea6af596ff0e2f11517b578377850f

[ "MIT" ]

5

2018-03-07T03:54:36.000Z

2022-01-01T04:43:48.000Z

sample/main.py

qjw/flasgger

d43644da1fea6af596ff0e2f11517b578377850f

[ "MIT" ]

null

sample/main.py

qjw/flasgger

d43644da1fea6af596ff0e2f11517b578377850f

[ "MIT" ]

2

2021-11-11T08:48:39.000Z

2022-01-01T04:43:49.000Z

import logging import jsonschema from flask import Flask, jsonify from flask import make_response from flasgger import Swagger from sample.config import Config def init_logging(app): handler = logging.StreamHandler() handler.setLevel(logging.INFO) handler.setFormatter(logging.Formatter( '%(ascti...

25.409091

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0

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1,118

44

78

25.409091

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0

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false

0

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0.322581

0.032258

0

null

0

null

0

1

0

c94abc02ec26c5e120241965ee1760edb37aa362

909

py

Python

cuticle_analysis/models/e2e.py

ngngardner/cuticle_analysis

7ef119d9ee407df0faea63705dcea76d9f42614b

[ "MIT" ]

null

cuticle_analysis/models/e2e.py

ngngardner/cuticle_analysis

7ef119d9ee407df0faea63705dcea76d9f42614b

[ "MIT" ]

4

2021-07-02T17:49:44.000Z

2021-09-27T01:06:41.000Z

cuticle_analysis/models/e2e.py

ngngardner/cuticle_analysis

7ef119d9ee407df0faea63705dcea76d9f42614b

[ "MIT" ]

null

import numpy as np from .cnn import CNN from .kviews import KViews from .. import const class EndToEnd(): def __init__( self, bg_model: CNN, rs_model: KViews ) -> None: self.name = 'EndToEnd' self.bg_model = bg_model self.rs_model = rs_model def metadata(...

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909

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0.014587

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67

25.25

0.787682

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0

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0.416667

0

null

0

null

0

1

0

c950e89a11e706b3a1a0ba3575143820351f7247

3,337

py

Python

upandas_test.py

kokes/upandas

f2150e5a74c815b27fd08fc841da01c3b455dadc

[ "MIT" ]

null

upandas_test.py

kokes/upandas

f2150e5a74c815b27fd08fc841da01c3b455dadc

[ "MIT" ]

null

upandas_test.py

kokes/upandas

f2150e5a74c815b27fd08fc841da01c3b455dadc

[ "MIT" ]

null

import sys, os import upandas as upd # Run a single Python script # For many simple, single file projects, you may find it inconvenient # to write a complete Dockerfile. In such cases, you can run a Python # script by using the Python Docker image directly: # versions to consider: 3 (600+ MB), slim (150 MB) alpine (9...

29.530973

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3,337

4.084416

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0.026497

0.020668

0.189719

0.18336

0.165342

0

0.024759

0.285886

3,337

112

133

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0

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false

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0

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0.057971

0

null

0

null

0

1

0

c953f88756774d3e9d070501efa3054134aaa4e2

6,555

py

Python

prettyqt/widgets/lineedit.py

phil65/PrettyQt

26327670c46caa039c9bd15cb17a35ef5ad72e6c

[ "MIT" ]

7

2019-05-01T01:34:36.000Z

2022-03-08T02:24:14.000Z

prettyqt/widgets/lineedit.py

phil65/PrettyQt

26327670c46caa039c9bd15cb17a35ef5ad72e6c

[ "MIT" ]

141

2019-04-16T11:22:01.000Z

2021-04-14T15:12:36.000Z

prettyqt/widgets/lineedit.py

phil65/PrettyQt

26327670c46caa039c9bd15cb17a35ef5ad72e6c

[ "MIT" ]

5

2019-04-17T11:48:19.000Z

2021-11-21T10:30:19.000Z

from __future__ import annotations from typing import Literal from prettyqt import constants, core, gui, widgets from prettyqt.qt import QtCore, QtWidgets from prettyqt.utils import InvalidParamError, bidict ECHO_MODE = bidict( normal=QtWidgets.QLineEdit.EchoMode.Normal, no_echo=QtWidgets.QLineEdit.EchoMode...

31.066351

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6,555

5.673103

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0.023098

0.026258

0

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0.236156

6,555

210

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0

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0

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1

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false

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0.043796

0.350365

0

null

0

null

0

1

0

c95465582eabaa7004deb1d71c383aba26908941

1,086

py

Python

nis_visualizeer/ukf-nis-vis.py

vikram216/unscented-kalman-filter

1619fe365c73f198b39fa1de70fd5e203f8715a0

[ "MIT" ]

null

nis_visualizeer/ukf-nis-vis.py

vikram216/unscented-kalman-filter

1619fe365c73f198b39fa1de70fd5e203f8715a0

[ "MIT" ]

null

nis_visualizeer/ukf-nis-vis.py

vikram216/unscented-kalman-filter

1619fe365c73f198b39fa1de70fd5e203f8715a0

[ "MIT" ]

null

import matplotlib.pyplot as plt """ A chi square (X2) statistic is used to investigate whether distributions of categorical variables differ from one another. Here we consider 3 degrees of freedom for our system. Plotted against 95% line""" lidar_nis = [] with open('NISvals_laser.txt') as f: for line in f: ...

24.681818

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1,086

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0.028609

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0

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0

null

0

null

0

1

0

c95546315e55dfb705f35c46c08aaa6f9bae96a5

695

py

Python

benchmark/OfflineRL/offlinerl/config/algo/crr_config.py

ssimonc/NeoRL

098c58c8e4c3e43e67803f6384619d3bfe7fce5d

[ "Apache-2.0" ]

50

2021-02-07T08:10:28.000Z

2022-03-25T09:10:26.000Z

benchmark/OfflineRL/offlinerl/config/algo/crr_config.py

ssimonc/NeoRL

098c58c8e4c3e43e67803f6384619d3bfe7fce5d

[ "Apache-2.0" ]

7

2021-07-29T14:58:31.000Z

2022-02-01T08:02:54.000Z

benchmark/OfflineRL/offlinerl/config/algo/crr_config.py

ssimonc/NeoRL

098c58c8e4c3e43e67803f6384619d3bfe7fce5d

[ "Apache-2.0" ]

4

2021-04-01T16:30:15.000Z

2022-03-31T17:38:05.000Z

import torch from offlinerl.utils.exp import select_free_cuda task = "Hopper-v3" task_data_type = "low" task_train_num = 99 seed = 42 device = 'cuda'+":"+str(select_free_cuda()) if torch.cuda.is_available() else 'cpu' obs_shape = None act_shape = None max_action = None hidden_features = 256 hidden_layers = 2 atoms ...

16.547619

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695

4.216981

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41

84

16.95122

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0

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0

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0.066667

0

null

0

null

0

1

0

c9555f153510ab57941a2d63dc997b5c2a9d5575

8,325

py

Python

cykel/models/cykel_log_entry.py

mohnbroetchen2/cykel_jenarad

6ed9fa45d8b98e1021bc41a57e1250ac6f0cfcc4

[ "MIT" ]

null

cykel/models/cykel_log_entry.py

mohnbroetchen2/cykel_jenarad

6ed9fa45d8b98e1021bc41a57e1250ac6f0cfcc4

[ "MIT" ]

null

cykel/models/cykel_log_entry.py

mohnbroetchen2/cykel_jenarad

6ed9fa45d8b98e1021bc41a57e1250ac6f0cfcc4

[ "MIT" ]

null

from django.contrib.admin.options import get_content_type_for_model from django.contrib.contenttypes.fields import GenericForeignKey from django.contrib.contenttypes.models import ContentType from django.core.exceptions import ObjectDoesNotExist from django.db import models from django.urls import reverse from django.u...

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8,325

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0.025926

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0.302083

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0.223843

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1

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0

null

0

null

0

1

0

c9565831d1ae75fe2b15d03a39a78761d5e269d5

7,991

py

Python

mlx/od/archive/ssd/test_utils.py

lewfish/mlx

027decf72bf9d96de3b4de13dcac7b352b07fd63

[ "Apache-2.0" ]

null

mlx/od/archive/ssd/test_utils.py

lewfish/mlx

027decf72bf9d96de3b4de13dcac7b352b07fd63

[ "Apache-2.0" ]

null

mlx/od/archive/ssd/test_utils.py

lewfish/mlx

027decf72bf9d96de3b4de13dcac7b352b07fd63

[ "Apache-2.0" ]

null

import unittest import torch from torch.nn.functional import binary_cross_entropy as bce, l1_loss from mlx.od.ssd.utils import ( ObjectDetectionGrid, BoxList, compute_intersection, compute_iou, F1) class TestIOU(unittest.TestCase): def test_compute_intersection(self): a = torch.tensor([[0, 0, 2, 2], ...

36.322727

79

0.511325

1,142

7,991

3.452715

0.119089

0.026883

0.091301

0.023332

0.611463

0.552118

0.501648

0.46665

0.411362

0.33477

0

0.084946

0.320861

7,991

220

80

36.322727

0.641607

0.040045

0

0.441341

0

0.005742

0

0.094972

1

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false

0

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0

0.117318

0

null

0

null

0

1

0

c956809dc40104300810383514543a84d7e16eb4

3,284

py

Python

src/utilsmodule/main.py

jke94/WilliamHill-WebScraping

d570ff7ba8a5c35d7c852327910d39b715ce5125

[ "MIT" ]

null

src/utilsmodule/main.py

jke94/WilliamHill-WebScraping

d570ff7ba8a5c35d7c852327910d39b715ce5125

[ "MIT" ]

1

2020-10-13T15:44:40.000Z

src/utilsmodule/main.py

jke94/WilliamHill-WebScraping

d570ff7ba8a5c35d7c852327910d39b715ce5125

[ "MIT" ]

null

''' AUTOR: Javier Carracedo Date: 08/10/2020 Auxiliar class to test methods from WilliamHillURLs.py ''' import WilliamHillURLs if __name__ == "__main__": myVariable = WilliamHillURLs.WilliamHillURLs() # Print all matches played actually. for item in myVariable.GetAllMatchsPlayedActually(m...

49.014925

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0.039009

0.04681

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0.061496

0

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0.201583

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66

110

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0

0.285714

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0

false

0

0.142857

0

0.142857

0.285714

0

null

0

null

0

1

0

c9570eba69366671540e993ccc63b21a8b23a785

3,185

py

Python

mys/cli/subparsers/install.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

mys/cli/subparsers/install.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

mys/cli/subparsers/install.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

import glob import os import shutil import sys import tarfile from tempfile import TemporaryDirectory from ..utils import ERROR from ..utils import Spinner from ..utils import add_jobs_argument from ..utils import add_no_ccache_argument from ..utils import add_verbose_argument from ..utils import box_print from ..util...

28.4375

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0.674725

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3,185

5.11358

0.293827

0.043457

0.072429

0.026074

0.14872

0.084017

0.051183

0

0.000802

0.216954

3,185

111

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0.829591

0

0.047059

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0

1

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0

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0.305882

0.023529

0

null

0

null

0

1

0

c957b9e1d84b2cf858f2f0ed59b9eda407c2dff9

1,011

py

Python

app/api/v2/models/sale.py

kwanj-k/storemanager-v2

89e9573543e32de2e8503dc1440b4ad907bb10b5

[ "MIT" ]

1

2020-02-29T20:14:32.000Z

app/api/v2/models/sale.py

kwanj-k/storemanager-v2

89e9573543e32de2e8503dc1440b4ad907bb10b5

[ "MIT" ]

5

2018-10-24T17:28:48.000Z

2019-10-22T11:09:19.000Z

app/api/v2/models/sale.py

kwanj-k/storemanager-v2

89e9573543e32de2e8503dc1440b4ad907bb10b5

[ "MIT" ]

null

""" A model class for Sale """ # local imports from app.api.common.utils import dt from app.api.v2.db_config import conn from app.api.v2.models.cart import Cart # cursor to perform database operations cur = conn.cursor() class Sale(Cart): """ Sale object which inherites some of its attributes from cart ...

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0.298714

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0

0.285714

0

null

0

null

0

1

0

c9582e0280978de265a7060549f58e588eceb72b

3,306

py

Python

src/dembones/collector.py

TransactCharlie/dembones

b5540a89d4c6d535b589a1a2b06697569879bc05

[ "MIT" ]

null

src/dembones/collector.py

TransactCharlie/dembones

b5540a89d4c6d535b589a1a2b06697569879bc05

[ "MIT" ]

null

src/dembones/collector.py

TransactCharlie/dembones

b5540a89d4c6d535b589a1a2b06697569879bc05

[ "MIT" ]

null

import aiohttp from bs4 import BeautifulSoup import asyncio from dembones.webpage import WebPage import dembones.urltools as ut import logging log = logging.getLogger(__name__) class Collector: url_hash = {} def __init__(self, max_concurrent_fetches=3, max_depth=3, fetch_timeout=5, target_...

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0.019259

0.02963

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0.002583

0.297338

3,306

84

96

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0.209316

0

0.036416

0

1

0.038462

false

0

0.115385

0

0.269231

0

null

0

null

0

1

0

c959a09cafe37155453fcdb077c647271d246317

710

py

Python

translation/eval_args.py

AkshatSh/BinarizedNMT

7fa15149fdfcad6b1fd0956157c3730f3dcd781f

[ "MIT" ]

10

2019-01-19T08:15:05.000Z

2021-12-02T08:54:50.000Z

translation/eval_args.py

AkshatSh/BinarizedNMT

7fa15149fdfcad6b1fd0956157c3730f3dcd781f

[ "MIT" ]

null

translation/eval_args.py

AkshatSh/BinarizedNMT

7fa15149fdfcad6b1fd0956157c3730f3dcd781f

[ "MIT" ]

2

2019-01-25T21:19:49.000Z

2019-03-21T11:38:13.000Z

import argparse import train_args def get_arg_parser() -> argparse.ArgumentParser: ''' A set of parameters for evaluation ''' parser = train_args.get_arg_parser() parser.add_argument('--load_path', type=str, help='the path of the model to test') parser.add_argument('--eval_train', action='store...

50.714286

126

0.723944

103

710

4.805825

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0.171717

0.127273

0.256566

0.113131

0

0.147887

710

14

127

50.714286

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0.047887

0

0.394856

0

1

0.1

false

0

0.2

0

0.4

0

null

0

null

0

1

0

c959fbbb426057adb9170ca9df4b29dd550126f4

43,792

py

Python

src/fidelity_estimation_pauli_sampling.py

akshayseshadri/minimax-fidelity-estimation

07ff539dc5ea8280bc4f33444da3d6a90c606833

[ "MIT" ]

1

2021-12-16T14:23:46.000Z

src/fidelity_estimation_pauli_sampling.py

akshayseshadri/minimax-fidelity-estimation

07ff539dc5ea8280bc4f33444da3d6a90c606833

[ "MIT" ]

null

src/fidelity_estimation_pauli_sampling.py

akshayseshadri/minimax-fidelity-estimation

07ff539dc5ea8280bc4f33444da3d6a90c606833

[ "MIT" ]

null

""" Creates a fidelity estimator for any pure state, using randomized Pauli measurement strategy. Author: Akshay Seshadri """ import warnings import numpy as np import scipy as sp from scipy import optimize import project_root # noqa from src.optimization.proximal_gradient import minimize_proximal_gradi...

59.258457

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43,792

4.10313

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0.016805

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0.24637

0.240142

0.221678

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43,792

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0

1

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false

0

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0.058333

0

null

0

null

0

1

0

c95c3a9b1e12620c6fdf7ce0fba7e46782237c62

2,054

py

Python

until.py

zlinao/COMP5212-project1

fa6cb10d238de187fbb891499916c6b44a0cd7b7

[ "Apache-2.0" ]

3

2018-09-19T11:46:53.000Z

2018-10-09T04:48:28.000Z

until.py

zlinao/COMP5212-project1

fa6cb10d238de187fbb891499916c6b44a0cd7b7

[ "Apache-2.0" ]

null

until.py

zlinao/COMP5212-project1

fa6cb10d238de187fbb891499916c6b44a0cd7b7

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Feb 28 10:29:52 2018 @author: lin """ import numpy as np import matplotlib.pyplot as plt def accuracy(x,y,model): a = model.predict(x,y) a[a>=0.5]=1 a[a<0.5]=0 return np.sum(a==y)/len(a) data1 = np.load("datasets/breast-cancer.n...

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2,054

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0.168885

0.123128

0

0.034069

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80

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false

0

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0.018182

0

null

0

null

0

1

0

c960f97df84624c96f4c85fc91f46edd0a467d9e

11,996

py

Python

dumpfreeze/main.py

rkcf/dumpfreeze

e9b18e4bc4574ff3b647a075cecd72977dc8f59a

[ "MIT" ]

1

2020-01-30T17:59:50.000Z

dumpfreeze/main.py

rkcf/dumpfreeze

e9b18e4bc4574ff3b647a075cecd72977dc8f59a

[ "MIT" ]

null

dumpfreeze/main.py

rkcf/dumpfreeze

e9b18e4bc4574ff3b647a075cecd72977dc8f59a

[ "MIT" ]

null

# dumpfreeze # Create MySQL dumps and backup to Amazon Glacier import os import logging import datetime import click import uuid import sqlalchemy as sa from dumpfreeze import backup as bak from dumpfreeze import aws from dumpfreeze import inventorydb from dumpfreeze import __version__ logger = logging.getLogger(__na...

29.766749

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11,996

4.906832

0.135266

0.05218

0.031083

0.043038

0.54135

0.501266

0.481013

0.419409

0.407032

0.372855

0

0.002541

0.278343

11,996

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0.818759

0.11879

0

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0

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0.002488

0

1

0.046263

false

0.049822

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0

0.085409

0.007117

0

null

0

null

0

1

0

c96260912cab6b5833f970ad06a26821cebe5439

886

py

Python

01-tapsterbot/click-accuracy/makeTestData.py

AppTestBot/AppTestBot

035e93e662753e50d7dcc38d6fd362933186983b

[ "Apache-2.0" ]

null

01-tapsterbot/click-accuracy/makeTestData.py

AppTestBot/AppTestBot

035e93e662753e50d7dcc38d6fd362933186983b

[ "Apache-2.0" ]

null

01-tapsterbot/click-accuracy/makeTestData.py

AppTestBot/AppTestBot

035e93e662753e50d7dcc38d6fd362933186983b

[ "Apache-2.0" ]

null

import csv FLAGS = None def main(): with open('dataset/test.csv', 'w') as csv_file: writer = csv.writer(csv_file, delimiter=',') #for w in range(-FLAGS.width, FLAGS.width+1i): w = -60 while w <= 60: h = -28 #for h in range(-FLAGS.height, FLAGS.height+1): ...

28.580645

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886

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0.056075

0.093458

0.135514

0

0.026738

0.366817

886

30

81

29.533333

0.736185

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0

0.086957

0

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0

1

0.043478

false

0

0.086957

0

0.130435

0

null

0

null

0

1

0

c96277ac68a88dc09c944967b21d05e1368096d4

3,546

py

Python

CreateBigDataFrame.py

ezsolti/MVA_PWR_data

3e64c5b1bd643d5ba5d6e275b426d601cff7b270

[ "MIT" ]

2

2022-02-04T10:47:37.000Z

2022-03-15T13:03:19.000Z

CreateBigDataFrame.py

ezsolti/MVA_PWR_data

3e64c5b1bd643d5ba5d6e275b426d601cff7b270

[ "MIT" ]

null

CreateBigDataFrame.py

ezsolti/MVA_PWR_data

3e64c5b1bd643d5ba5d6e275b426d601cff7b270

[ "MIT" ]

1

2022-01-13T15:55:17.000Z

""" Script to create dataframe from serpent bumat files including all the nuclides. Zsolt Elter 2019 """ import json import os with open ('nuclides.json') as json_file: nuclidesDict = json.load(json_file) #final name of the file dataFrame='PWR_UOX-MOX_BigDataFrame-SF-GSRC-noReactorType.csv' def readInventory...

35.818182

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3,546

3.981618

0.363971

0.00831

0.029548

0.01108

0.141274

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0.10988

0.048938

0

0.02197

0.229836

3,546

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165

36.183673

0.771146

0.335871

0

0.111111

0

0.156085

0.085538

0

1

0.018519

false

0

0.037037

0

0.074074

0.018519

0

null

0

null

0

1

0

c965792691ce7606e38e36d2ae95ee8c42d4351b

2,953

py

Python

archer_views.py

splunk-soar-connectors/archer

65b9a5e9e250b6407e3aad08b86a483499a6210f

[ "Apache-2.0" ]

null

archer_views.py

splunk-soar-connectors/archer

65b9a5e9e250b6407e3aad08b86a483499a6210f

[ "Apache-2.0" ]

1

2022-02-08T22:54:54.000Z

archer_views.py

splunk-soar-connectors/archer

65b9a5e9e250b6407e3aad08b86a483499a6210f

[ "Apache-2.0" ]

null

# File: archer_views.py # # Copyright (c) 2016-2022 Splunk 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 appli...

38.350649

95

0.562817

343

2,953

4.734694

0.346939

0.036946

0.034483

0.042488

0.142241

0.10899

0

0.006927

0.315611

2,953

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96

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0.196072

0

0.192308

0

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0

1

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false

0

0.076923

0

null

0

null

0

1

0

c96886f093360dec7c0ce79819456ac3947c46e0

12,198

py

Python

napari/plugins/exceptions.py

yinawang28/napari

6ea95a9fa2f9150a4dbb5ec1286b8ff2020c3957

[ "BSD-3-Clause" ]

null

napari/plugins/exceptions.py

yinawang28/napari

6ea95a9fa2f9150a4dbb5ec1286b8ff2020c3957

[ "BSD-3-Clause" ]

null

napari/plugins/exceptions.py

yinawang28/napari

6ea95a9fa2f9150a4dbb5ec1286b8ff2020c3957

[ "BSD-3-Clause" ]

null

import re import sys from collections import defaultdict from types import TracebackType from typing import ( Callable, DefaultDict, Dict, Generator, List, Optional, Tuple, Type, Union, ) # This is a mapping of plugin_name -> PluginError instances # all PluginErrors get added to thi...

33.237057

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0.565175

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4.719038

0.251239

0.026995

0.011698

0.005399

0.128374

0.104979

0.080084

0.072286

0.063887

0

0.009423

0.312674

12,198

366

80

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0.785902

0.251599

0

0.205357

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0

1

0.058036

false

0

0.080357

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0.205357

0

null

0

null

0

1

0

c9693a49a18c1714e3e73fb34025f16a983d9fca

572

py

Python

examples/federation/account.py

syfun/starlette-graphql

1f57b60a9699bc6a6a2b95d5596ffa93ef13c262

[ "MIT" ]

14

2020-04-03T08:18:21.000Z

2021-11-10T04:39:45.000Z

examples/federation/account.py

syfun/starlette-graphql

1f57b60a9699bc6a6a2b95d5596ffa93ef13c262

[ "MIT" ]

2

2021-08-31T20:25:23.000Z

2021-09-21T14:40:56.000Z

examples/federation/account.py

syfun/starlette-graphql

1f57b60a9699bc6a6a2b95d5596ffa93ef13c262

[ "MIT" ]

1

2020-08-27T17:04:29.000Z

import uvicorn from gql import gql, reference_resolver, query from stargql import GraphQL from helper import get_user_by_id, users type_defs = gql(""" type Query { me: User } type User @key(fields: "id") { id: ID! name: String username: String } """) @query('me') def get_me(_, info): r...

16.342857

51

0.687063

79

572

4.683544

0.455696

0.064865

0.048649

0.059459

0

0.010799

0.190559

572

34

52

16.823529

0.788337

0

0.241259

0

1

0.086957

false

0

0.173913

0.086957

0.347826

0

null

0

null

0

1

0

c96af4a490471a665152773f8f3b2a90f985672a

607

py

Python

tests/backtracking/test_path_through_grid.py

davjohnst/fundamentals

f8aff4621432c3187305dd04563425f54ea08495

[ "Apache-2.0" ]

null

tests/backtracking/test_path_through_grid.py

davjohnst/fundamentals

f8aff4621432c3187305dd04563425f54ea08495

[ "Apache-2.0" ]

null

tests/backtracking/test_path_through_grid.py

davjohnst/fundamentals

f8aff4621432c3187305dd04563425f54ea08495

[ "Apache-2.0" ]

null

#!/usr/bin/env python from unittest import TestCase from fundamentals.backtracking.path_through_grid import PathThroughGrid class TestPathThroughGrid(TestCase): def test_no_path(self): grid = [ [0, 1, 0], [1, 0, 1], [0, 0, 1] ] ptg = PathThroughGrid(g...

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c96b923ab99cdd18285399edd12e8dfeb03b5f78

343

py

Python

main.py

yukraven/vitg

27d3d9b73a23e4ff5ff4c769eb1f26b8f57fee72

[ "MIT" ]

null

main.py

yukraven/vitg

27d3d9b73a23e4ff5ff4c769eb1f26b8f57fee72

[ "MIT" ]

63

2019-08-25T07:48:54.000Z

2019-10-18T01:52:29.000Z

main.py

yukraven/vitg

27d3d9b73a23e4ff5ff4c769eb1f26b8f57fee72

[ "MIT" ]

null

import sqlite3 import Sources.Parser conn = sqlite3.connect("Database/vitg.db") cursor = conn.cursor() cursor.execute("SELECT * FROM Locations") results = cursor.fetchall() print(results) conn.close() parser = Sources.Parser.Parser() words = [u"любить", u"бить"] for word in words: command = parser.getCommand(wo...

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0

null

0

1

0

c96d512247f8395a641feee824bc046d0dbdc522

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py

Python

src/gene.score.array.simulator.py

ramachandran-lab/PEGASUS-WINGS

bdd81b58be4c4fb62916e422a854abdcbfbb6fd7

[ "MIT" ]

3

2019-03-31T12:32:25.000Z

2020-01-04T20:57:14.000Z

src/gene.score.array.simulator.py

ramachandran-lab/PEGASUS-WINGS

bdd81b58be4c4fb62916e422a854abdcbfbb6fd7

[ "MIT" ]

null

src/gene.score.array.simulator.py

ramachandran-lab/PEGASUS-WINGS

bdd81b58be4c4fb62916e422a854abdcbfbb6fd7

[ "MIT" ]

1

2020-10-24T23:48:15.000Z

import numpy as np import pandas as pd import sys import string import time import subprocess from collections import Counter import string import random def random_pheno_generator(size=6,chars=string.ascii_lowercase): return ''.join(random.choice(chars) for _ in range(size)) #First argument is the gene score dist...

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null

0

null

0

1

0

c97156d460bdc88e5f228d10d1465d45738af933

8,536

py

Python

other_useful_scripts/join.py

sklasfeld/ChIP_Annotation

9ce9db7a129bfdec91ec23b33d73ff22f37408ad

[ "MIT" ]

1

2020-08-23T23:12:56.000Z

other_useful_scripts/join.py

sklasfeld/ChIP_Annotation

9ce9db7a129bfdec91ec23b33d73ff22f37408ad

[ "MIT" ]

null

other_useful_scripts/join.py

sklasfeld/ChIP_Annotation

9ce9db7a129bfdec91ec23b33d73ff22f37408ad

[ "MIT" ]

1

2020-08-23T23:16:47.000Z

#!/usr/bin/env python3 # -*- coding: iso-8859-15 -*- # 2017, Samantha Klasfeld, the Wagner Lab # the Perelman School of Medicine, the University of Pennsylvania # Samantha Klasfeld, 12-21-2017 import argparse import sys import pandas as pd import numpy as np parser = argparse.ArgumentParser(description="this scrip...

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c971e430652331e744f0b8b0fc1ac07db5704fb9

884

py

Python

6.py

mattclark-net/aoc21

d4dcd78524a8cb27e1445cb6c39e696e64cc4e7a

[ "MIT" ]

null

6.py

mattclark-net/aoc21

d4dcd78524a8cb27e1445cb6c39e696e64cc4e7a

[ "MIT" ]

null

6.py

mattclark-net/aoc21

d4dcd78524a8cb27e1445cb6c39e696e64cc4e7a

[ "MIT" ]

null

# parse the input with open("6-input.txt") as f: fish = [int(n) for n in f.readline().split(",")] startcounts = dict(zip(range(0, 9), [0 for x in range(9)])) for f in fish: startcounts[f] += 1 def updatedcounts(counts): newcounts = {} newcounts[8] = counts[0] newcounts[7] = counts[8] newcount...

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null

0

null

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c97337433ecaa8303091ad4ba921fe29802304f0

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py

Python

packages/mccomponents/tests/mccomponents/sample/samplecomponent_SQkernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

5

2017-01-16T03:59:47.000Z

2020-06-23T02:54:19.000Z

packages/mccomponents/tests/mccomponents/sample/samplecomponent_SQkernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

293

2015-10-29T17:45:52.000Z

2022-01-07T16:31:09.000Z

packages/mccomponents/tests/mccomponents/sample/samplecomponent_SQkernel_TestCase.py

mcvine/mcvine

42232534b0c6af729628009bed165cd7d833789d

[ "BSD-3-Clause" ]

1

2019-05-25T00:53:31.000Z

#!/usr/bin/env python # # standalone = True import os, numpy as np os.environ['MCVINE_MPI_BINDING'] = 'NONE' import unittestX as unittest class TestCase(unittest.TestCase): def test1(self): 'mccomponents.sample.samplecomponent: SQkernel' # The kernel spec is in sampleassemblies/V-sqkernel/V-...

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null

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0

c9743d63b6769b341831d17f36b94f9161097eb4

5,811

py

Python

differannotate/datastructures.py

zyndagj/differannotate

c73d9df5f82f1cf97340235265a368b16da9c89b

[ "BSD-3-Clause" ]

null

differannotate/datastructures.py

zyndagj/differannotate

c73d9df5f82f1cf97340235265a368b16da9c89b

[ "BSD-3-Clause" ]

null

differannotate/datastructures.py

zyndagj/differannotate

c73d9df5f82f1cf97340235265a368b16da9c89b

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # ############################################################################### # Author: Greg Zynda # Last Modified: 12/11/2019 ############################################################################### # BSD 3-Clause License # # Copyright (c) 2019, Greg Zynda # All rights reserved. # # ...

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c9743e069ad8fe0a795c53358dc5e0951de0d7c7

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py

Python

examples/regional_constant_preservation/plotCurve.py

schoonovernumerics/FEOTs

d8bf24d0e0c23a9ee65e2be6a75f5dbc83d3e5ad

[ "BSD-3-Clause" ]

null

examples/regional_constant_preservation/plotCurve.py

schoonovernumerics/FEOTs

d8bf24d0e0c23a9ee65e2be6a75f5dbc83d3e5ad

[ "BSD-3-Clause" ]

13

2017-08-03T22:30:25.000Z

2019-01-23T16:32:28.000Z

examples/regional_constant_preservation/plotCurve.py

schoonovernumerics/FEOTS

d8bf24d0e0c23a9ee65e2be6a75f5dbc83d3e5ad

[ "BSD-3-Clause" ]

null

#!/usr/bin/python3 DOC="""plotCurve plotCurve is used to create vertical profiles of different lateral ylabel statistics of FEOTS output. Usage: plotCurve plot <file> [--out=<out>] [--opts=<opts>] [--scalex=<scalex>] [--xlabel=<xlabel>] [--ylabel=<ylabel>] Commands: plot Create a vertical profile p...

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0

null

0

null

0

1

0

c974860e7717afdaa174abddb3959a9916ac8f90

6,535

py

Python

statefun-examples/statefun-python-walkthrough-example/walkthrough_pb2.py

authuir/flink-statefun

ca16055de31737a8a0073b8f9083268fc24b9828

[ "Apache-2.0" ]

1

2020-05-27T03:38:36.000Z

statefun-examples/statefun-python-walkthrough-example/walkthrough_pb2.py

authuir/flink-statefun

ca16055de31737a8a0073b8f9083268fc24b9828

[ "Apache-2.0" ]

null

statefun-examples/statefun-python-walkthrough-example/walkthrough_pb2.py

authuir/flink-statefun

ca16055de31737a8a0073b8f9083268fc24b9828

[ "Apache-2.0" ]

null

################################################################################ # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this...

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null

0

null

0

1

0

c978b614564b15ad98ff9be9b231eda20bb8f13d

6,405

py

Python

python/dsbox/template/template_files/loaded/SRIClassificationTemplate.py

usc-isi-i2/dsbox-ta2

85e0e8f5bbda052fa77cb98f4eef1f4b50909fd2

[ "MIT" ]

7

2018-05-10T22:19:44.000Z

2020-07-21T07:28:39.000Z

python/dsbox/template/template_files/loaded/SRIClassificationTemplate.py

usc-isi-i2/dsbox-ta2

85e0e8f5bbda052fa77cb98f4eef1f4b50909fd2

[ "MIT" ]

187

2018-04-13T17:19:24.000Z

2020-04-21T00:41:15.000Z

python/dsbox/template/template_files/loaded/SRIClassificationTemplate.py

usc-isi-i2/dsbox-ta2

85e0e8f5bbda052fa77cb98f4eef1f4b50909fd2

[ "MIT" ]

7

2018-07-10T00:14:07.000Z

2019-07-25T17:59:44.000Z

from dsbox.template.template import DSBoxTemplate from d3m.metadata.problem import TaskKeyword from dsbox.template.template_steps import TemplateSteps from dsbox.schema import SpecializedProblem import typing import numpy as np # type: ignore class SRIClassificationTemplate(DSBoxTemplate): def __init__(self...

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0

null

0

null

0

1

0

c978cd7b9db932291bd60fddc562ff295cb80fc4

192

py

Python

beecrowd exercises/beecrowd-1019.py

pachecosamuel/Python-Exercises

de542536dd1a2bc0ad27e81824713cda8ad34054

[ "MIT" ]

null

beecrowd exercises/beecrowd-1019.py

pachecosamuel/Python-Exercises

de542536dd1a2bc0ad27e81824713cda8ad34054

[ "MIT" ]

null

beecrowd exercises/beecrowd-1019.py

pachecosamuel/Python-Exercises

de542536dd1a2bc0ad27e81824713cda8ad34054

[ "MIT" ]

null

time = eval(input()) qtdtime = [3600, 60, 1] result = [] for i in qtdtime: qtd = time // i result.append(str(qtd)) time -= qtd * i print(f'{result[0]}:{result[1]}:{result[2]}')

16

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11

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0

0.183246

0

1

0

false

0

0.125

0

null

0

null

0

1

0

c97a5d77ecd44aba596f1a6d89d78783ed1f6a39

5,458

py

Python

bigorm/database.py

AnthonyPerez/bigorm

67ecdbb1f99cd5c8ec2ca24c7ba5f5dbed7493bb

[ "MIT" ]

null

bigorm/database.py

AnthonyPerez/bigorm

67ecdbb1f99cd5c8ec2ca24c7ba5f5dbed7493bb

[ "MIT" ]

3

2020-04-06T19:13:58.000Z

2020-05-22T22:21:31.000Z

bigorm/database.py

AnthonyPerez/bigorm

67ecdbb1f99cd5c8ec2ca24c7ba5f5dbed7493bb

[ "MIT" ]

null

import threading import functools import sqlalchemy from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class DatabaseContextError(RuntimeError): pass """ Once an engine is created is is not destroyed until the program itself exits. Engines are used to produce a new session when...

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0

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false

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0

0.316456

0

null

0

null

0

1

0

c97aeafdeaa32ce81d91fe53e55f4082c9dd290e

444

py

Python

src/rover/project/code/decision.py

juancruzgassoloncan/Udacity-Robo-nanodegree

7621360ce05faf90660989e9d28f56da083246c9

[ "MIT" ]

1

2020-12-28T13:58:34.000Z

src/rover/project/code/decision.py

juancruzgassoloncan/Udacity-Robo-nanodegree

7621360ce05faf90660989e9d28f56da083246c9

[ "MIT" ]

null

src/rover/project/code/decision.py

juancruzgassoloncan/Udacity-Robo-nanodegree

7621360ce05faf90660989e9d28f56da083246c9

[ "MIT" ]

null

import numpy as np from rover_sates import * from state_machine import * # This is where you can build a decision tree for determining throttle, brake and steer # commands based on the output of the perception_step() function def decision_step(Rover, machine): if Rover.nav_angles is not None: machine.ru...

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0

0.454545

0

null

0

null

0

1

0

c9801e27d75fc448c57278f4f2febd70cf000239

3,203

py

Python

alfred/views/main_widget.py

Sefrwahed/Alfred

0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d

[ "MIT" ]

5

2016-09-06T10:29:24.000Z

2017-02-22T14:07:48.000Z

alfred/views/main_widget.py

Sefrwahed/Alfred

0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d

[ "MIT" ]

66

2016-09-06T06:40:24.000Z

2022-03-11T23:18:05.000Z

alfred/views/main_widget.py

Sefrwahed/Alfred

0b77ec547fb665ef29fe1a3b7e1c4ad30c31170d

[ "MIT" ]

3

2016-10-06T15:17:38.000Z

2016-12-04T13:25:53.000Z

import json # PyQt imports from PyQt5.QtCore import Qt, pyqtSignal, pyqtSlot from PyQt5.QtWidgets import QDialog from PyQt5.QtWebChannel import QWebChannel # Local includes from .ui.widget_ui import Ui_Dialog from alfred import data_rc import alfred.alfred_globals as ag from alfred.modules.api.view_components import ...

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null

0

null

0

1

0

c98046d6e476b2db7f4e9b5014b73851b0a58d74

5,573

py

Python

projects/11/jackTokenizer.py

nadavWeisler/Nand2Tetris

59c2e616c45044c15b99aeb8459d39b59e5e07ba

[ "MIT" ]

null

projects/11/jackTokenizer.py

nadavWeisler/Nand2Tetris

59c2e616c45044c15b99aeb8459d39b59e5e07ba

[ "MIT" ]

null

projects/11/jackTokenizer.py

nadavWeisler/Nand2Tetris

59c2e616c45044c15b99aeb8459d39b59e5e07ba

[ "MIT" ]

null

import re from utils import * class JackTokenizer: def __init__(self, file_name): self._file = open(file_name, 'r') self._data = [] self._types = [] self._tokens = [] self._xml = ['<tokens>'] self._tokens_iterator = iter(self._tokens) self._token_types_iter...

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0.006849

0

null

0

null

0

1

0

c98092ff02eaf3078402f8fe2053638da3880d53

1,115

py

Python

main.py

TimKozak/NearestFilms

991f8b7b1cb9f7f47c6bff818aaae3b91eb80375

[ "MIT" ]

2

2021-02-15T20:38:03.000Z

2021-12-15T12:42:54.000Z

main.py

TimKozak/NearestFilms

991f8b7b1cb9f7f47c6bff818aaae3b91eb80375

[ "MIT" ]

null

main.py

TimKozak/NearestFilms

991f8b7b1cb9f7f47c6bff818aaae3b91eb80375

[ "MIT" ]

null

""" Main module of a program. """ import folium from tools import find_coords, user_input def creating_map(): """ Creates HTML page for a given data. """ year, coords = user_input() locations = find_coords(year, coords) mp = folium.Map(location=coords, zoom_start=10) mp.add_child(folium....

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py

Python

ptCrypt/Symmetric/Modes/ECB.py

0awawa0/aCrypt

7c5d07271d524b9e5b03035d63587b69bff5abc7

[ "MIT" ]

null

ptCrypt/Symmetric/Modes/ECB.py

0awawa0/aCrypt

7c5d07271d524b9e5b03035d63587b69bff5abc7

[ "MIT" ]

25

2021-12-08T07:20:11.000Z

2021-12-10T12:07:05.000Z

ptCrypt/Symmetric/Modes/ECB.py

0awawa0/aCrypt

7c5d07271d524b9e5b03035d63587b69bff5abc7

[ "MIT" ]

null

from ptCrypt.Symmetric.Modes.Mode import Mode from ptCrypt.Symmetric.BlockCipher import BlockCipher from ptCrypt.Symmetric.Paddings.Padding import Padding class ECB(Mode): """Electronic codebook mode of encryption. The simplest encryption mode. Encrypts every block independently from other blocks. More: ...

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py

Python

src/static-vxlan-agent/test/arp_tracer.py

jbemmel/srl-evpn-proxy

240b8180ab03ee06a5043e646781860ba32a3530

[ "Apache-2.0" ]

8

2021-08-25T01:08:09.000Z

2022-01-18T12:44:41.000Z

src/static-vxlan-agent/test/arp_tracer.py

jbemmel/srl-evpn-proxy

240b8180ab03ee06a5043e646781860ba32a3530

[ "Apache-2.0" ]

null

src/static-vxlan-agent/test/arp_tracer.py

jbemmel/srl-evpn-proxy

240b8180ab03ee06a5043e646781860ba32a3530

[ "Apache-2.0" ]

1

2022-03-13T22:36:18.000Z

#!/usr/bin/env python3 # Originally python2 # Sample from https://www.collabora.com/news-and-blog/blog/2019/05/14/an-ebpf-overview-part-5-tracing-user-processes/ # Python program with embedded C eBPF program from bcc import BPF, USDT import sys bpf = """ #include <uapi/linux/ptrace.h> BPF_PERF_OUTPUT(events); struc...

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0

c98644a1740c0b9a2213d68e9dafb7bed9e7032f

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py

Python

src/utils/loaders.py

OE-Heart/span-based-srl

a03b46a5ea4c59e14bea80ea724b0de276df4bc1

[ "MIT" ]

41

2018-10-05T21:48:33.000Z

2022-02-16T10:24:39.000Z

src/utils/loaders.py

OE-Heart/span-based-srl

a03b46a5ea4c59e14bea80ea724b0de276df4bc1

[ "MIT" ]

9

2018-10-21T14:45:01.000Z

2022-02-25T14:25:29.000Z

src/utils/loaders.py

OE-Heart/span-based-srl

a03b46a5ea4c59e14bea80ea724b0de276df4bc1

[ "MIT" ]

9

2018-10-16T07:00:51.000Z

2022-02-17T13:10:47.000Z

import os import gzip import pickle import h5py import numpy as np import theano from utils.misc import get_file_names_in_dir from utils.vocab import UNK class Loader(object): def __init__(self, argv): self.argv = argv def load(self, **kwargs): raise NotImplementedError @staticmethod ...

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py

Python

system_test_progress_tracking/progress_tracking/urls.py

TobKed/system_test_progress_tracking

633792e7057289b6a23db30c6353241123eaa2e4

[ "MIT" ]

null

system_test_progress_tracking/progress_tracking/urls.py

TobKed/system_test_progress_tracking

633792e7057289b6a23db30c6353241123eaa2e4

[ "MIT" ]

3

2020-02-11T23:29:05.000Z

2021-06-10T21:03:42.000Z

system_test_progress_tracking/progress_tracking/urls.py

TobKed/system_test_progress_tracking

633792e7057289b6a23db30c6353241123eaa2e4

[ "MIT" ]

2

2019-01-24T20:39:31.000Z

2019-01-29T07:42:27.000Z

from django.urls import path from .views import ( home, MachineDetailView, MachineListView, DryRunDataDetailView, MachineLastDataView, ) urlpatterns = [ path('', MachineListView.as_view(), name='home-view'), path('', MachineListView.as_view(), name='machine-list-view'), path('machine/<...

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py

Python

main.py

mrroot5/wall-builder

2f0414359080fecdba5312463dd05cd9c11da6c1

[ "MIT" ]

null

main.py

mrroot5/wall-builder

2f0414359080fecdba5312463dd05cd9c11da6c1

[ "MIT" ]

null

main.py

mrroot5/wall-builder

2f0414359080fecdba5312463dd05cd9c11da6c1

[ "MIT" ]

null

""" Python version 3.6.7 OS Linux Ubuntu 18.04.1 LTS Created: 30/11/2018 17:12 Finished: 30/11/2018 19: Author: Adrian Garrido Garcia """ import sys from wall.builder import build_a_wall if __name__ == '__main__': try: build_a_wall(sys.argv[1], sys.argv[2]) except IndexError: rows = input("Ple...

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a30c417b3a747422a1fa92c8a3a68fa2a0ddf883

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py

Python

dataset.py

njoel-ethz/saliency-rl

61cf7acf10569b04c3a59528a4fc511c6e794895

[ "MIT" ]

null

dataset.py

njoel-ethz/saliency-rl

61cf7acf10569b04c3a59528a4fc511c6e794895

[ "MIT" ]

null

dataset.py

njoel-ethz/saliency-rl

61cf7acf10569b04c3a59528a4fc511c6e794895

[ "MIT" ]

null

import os import csv import cv2 import numpy as np import torch from torch.utils.data import Dataset, DataLoader def transform(snippet): ''' stack & noralization ''' snippet = np.concatenate(snippet, axis=-1) snippet = torch.from_numpy(snippet).permute(2, 0, 1).contiguous().float() snippet = snippet.mu...

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py

Python

openprocurement/chronograph/__init__.py

yshalenyk/openprocurement.chronograph

c15a6da519cea8a09b5d9a943752a49dd6f5131f

[ "Apache-2.0" ]

null

openprocurement/chronograph/__init__.py

yshalenyk/openprocurement.chronograph

c15a6da519cea8a09b5d9a943752a49dd6f5131f

[ "Apache-2.0" ]

null

openprocurement/chronograph/__init__.py

yshalenyk/openprocurement.chronograph

c15a6da519cea8a09b5d9a943752a49dd6f5131f

[ "Apache-2.0" ]

null

import gevent.monkey gevent.monkey.patch_all() import os from logging import getLogger #from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor from apscheduler.schedulers.gevent import GeventScheduler as Scheduler from couchdb import Server, Session from couchdb.http import Unauthorized, extract...

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null

0

null

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a30f4fc2ab1f50558de3a730d24cdd2bc794f650

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py

Python

poc/setmanyblocks.py

astro-pi/SpaceCRAFT

b577681b31c0554db9e77ed816cd63900fe195ca

[ "BSD-3-Clause" ]

12

2016-03-05T16:40:16.000Z

2019-10-27T07:48:12.000Z

poc/setmanyblocks.py

astro-pi/SpaceCRAFT

b577681b31c0554db9e77ed816cd63900fe195ca

[ "BSD-3-Clause" ]

1

2016-03-03T16:54:59.000Z

2016-03-09T12:14:33.000Z

poc/setmanyblocks.py

astro-pi/SpaceCRAFT

b577681b31c0554db9e77ed816cd63900fe195ca

[ "BSD-3-Clause" ]

2

2015-12-01T08:01:07.000Z

2019-10-27T07:48:19.000Z

#code which sends many setBlock commands all in one go, to see if there was # a performance improvement.. It sent them a lot quicker, but you still had to wait # for minecraft to catch up import mcpi.minecraft as minecraft import mcpi.block as block import mcpi.util as util from time import time, sleep def setManyBloc...

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py

Python

Chapter08/8_2_save_packets_in_pcap_format.py

shamir456/Python-Network-Programming-Cookbook-Second-Edition

7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b

[ "MIT" ]

125

2017-08-10T18:09:55.000Z

2022-03-29T10:14:31.000Z

Chapter08/8_2_save_packets_in_pcap_format.py

shamir456/Python-Network-Programming-Cookbook-Second-Edition

7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b

[ "MIT" ]

4

2018-01-19T05:42:58.000Z

2019-03-07T06:18:52.000Z

Chapter08/8_2_save_packets_in_pcap_format.py

shamir456/Python-Network-Programming-Cookbook-Second-Edition

7f5ebcbb4ef79c41da677afdf0d8e0fb575dcf0b

[ "MIT" ]

79

2017-08-15T00:40:36.000Z

2022-02-26T10:20:24.000Z

#!/usr/bin/env python # Python Network Programming Cookbook, Second Edition -- Chapter - 8 # This program is optimized for Python 2.7.12 and Python 3.5.2. # It may run on any other version with/without modifications. import os from scapy.all import * pkts = [] count = 0 pcapnum = 0 def write_cap(x): global pkts...

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0

null

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null

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py

Python

Assignments/Sprint2/FinValuePivot.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

1

2021-02-28T07:43:59.000Z

Assignments/Sprint2/FinValuePivot.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

null

Assignments/Sprint2/FinValuePivot.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

1

2021-03-03T03:52:21.000Z

""" You are given a sorted array in ascending order that is rotated at some unknown pivot (i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]) and a target value. Write a function that returns the target value's index. If the target value is not present in the array, return -1. You may assume no duplicate exists in...

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py

Python

utility.py

Forthyse/Forsythe-Bot

c8871b1fde456403d951a9dde13dddaca2d3f67b

[ "MIT" ]

3

2021-01-18T22:10:05.000Z

2022-01-07T21:46:34.000Z

utility.py

Forthyse/Forsythe-Bot

c8871b1fde456403d951a9dde13dddaca2d3f67b

[ "MIT" ]

null

utility.py

Forthyse/Forsythe-Bot

c8871b1fde456403d951a9dde13dddaca2d3f67b

[ "MIT" ]

2

2020-10-21T01:27:34.000Z

2021-01-02T23:51:02.000Z

import discord from discord.ext import commands class utility(commands.Cog): def __init__(self, client): self.client = client @commands.guild_only() @commands.command(name = "avatar", aliases = ["av", "pic"]) async def avatar(self, ctx, user: discord.User=None): if user is No...

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0

null

0

null

0

1

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a31f5b674099dd26d6054dab2dbff6ca679ee640

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py

Python

torch/ao/quantization/fx/fusion_patterns.py

li-ang/pytorch

17f3179d607b9a2eac5efdfc36673e89f70e6628

[ "Intel" ]

1

2022-02-15T07:07:31.000Z

torch/ao/quantization/fx/fusion_patterns.py

xiaozhoushi/pytorch

7dba88dfdb414def252531027658afe60409291d

[ "Intel" ]

null

torch/ao/quantization/fx/fusion_patterns.py

xiaozhoushi/pytorch

7dba88dfdb414def252531027658afe60409291d

[ "Intel" ]

null

import torch from torch.fx.graph import Node from .pattern_utils import ( register_fusion_pattern, ) from .utils import _parent_name from .quantization_types import QuantizerCls, NodePattern, Pattern from ..fuser_method_mappings import get_fuser_method from ..fuser_method_mappings import get_fuser_method_new from a...

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py

Python

sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py

dubiety/azure-sdk-for-python

62ffa839f5d753594cf0fe63668f454a9d87a346

[ "MIT" ]

1

2022-02-01T18:50:12.000Z

sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py

ellhe-blaster/azure-sdk-for-python

82193ba5e81cc5e5e5a5239bba58abe62e86f469

[ "MIT" ]

null

sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/models/_models.py

ellhe-blaster/azure-sdk-for-python

82193ba5e81cc5e5e5a5239bba58abe62e86f469

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...

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407

py

Python

utils.py

AbinavRavi/Federated-learning-MI

06294e5de94bf5b8826dedb469a3430fdae76e37

[ "MIT" ]

3

2021-04-04T19:32:29.000Z

2022-02-10T05:25:27.000Z

utils.py

AbinavRavi/Federated-learning-MI

06294e5de94bf5b8826dedb469a3430fdae76e37

[ "MIT" ]

null

utils.py

AbinavRavi/Federated-learning-MI

06294e5de94bf5b8826dedb469a3430fdae76e37

[ "MIT" ]

null

import nibabel as nib import numpy as np from glob import glob def to_slice(image_path,seg_path): image = nib.load(image_path).get_fdata() seg = nib.load(seg_path).get_fdata() image_list = [] seg_list = [] for i in range(image.shape[2]): if(np.nonzero(image[i])!= 0): image_list....

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null

0

null

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1

0

a3259ed1f24efeaecf755551060f140ed167c93c

576

py

Python

tests/test_ebook.py

plysytsya/doublebook

09dcd5399288c9544df928136a9e2f2e54639cbd

[ "MIT" ]

null

tests/test_ebook.py

plysytsya/doublebook

09dcd5399288c9544df928136a9e2f2e54639cbd

[ "MIT" ]

null

tests/test_ebook.py

plysytsya/doublebook

09dcd5399288c9544df928136a9e2f2e54639cbd

[ "MIT" ]

null

import os import unittest from doublebook.ebook import Ebook THIS_DIR = os.path.dirname(os.path.abspath(__file__)) class EbookTest(unittest.TestCase): def setUp(self): path_to_text = os.path.join(THIS_DIR, "test_data", "zen_en.txt") self.ebook = Ebook(path_to_text) def test_read(self): ...

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0.4375

0

null

0

null

0

1

0

a32ad9de709c3a24f830152b0d7a35e9a5113527

10,061

py

Python

src/panoramic/cli/husky/service/blending/tel_planner.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

5

2020-11-13T17:26:59.000Z

2021-03-19T15:11:26.000Z

src/panoramic/cli/husky/service/blending/tel_planner.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

5

2020-10-28T10:22:35.000Z

2021-01-27T17:33:58.000Z

src/panoramic/cli/husky/service/blending/tel_planner.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

3

2021-01-26T07:58:03.000Z

2021-03-11T13:28:34.000Z

from collections import defaultdict from typing import Dict, Iterable, List, Optional, Set, Tuple, cast from sqlalchemy import column from panoramic.cli.husky.common.enum import EnumHelper from panoramic.cli.husky.core.taxonomy.aggregations import AggregationDefinition from panoramic.cli.husky.core.taxonomy.enums imp...

43.743478

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0.657191

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10,061

5.940075

0.185393

0.044136

0.035309

0.046343

0.337327

0.288304

0.220208

0.124527

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0.094578

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0.27701

10,061

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126

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1

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0

0.22093

0

null

0

null

0

1

0

a32bb9ecf389628aa17fb222486d5eb8bc144dcb

13,836

py

Python

mrcnn/callbacks.py

dtitenko-dev/Mask_RCNN

5167db4174d96e9f2accc0a9f4866fb3a7bf5993

[ "MIT" ]

null

mrcnn/callbacks.py

dtitenko-dev/Mask_RCNN

5167db4174d96e9f2accc0a9f4866fb3a7bf5993

[ "MIT" ]

null

mrcnn/callbacks.py

dtitenko-dev/Mask_RCNN

5167db4174d96e9f2accc0a9f4866fb3a7bf5993

[ "MIT" ]

null

import os import re import six import h5py import json import logging import tensorflow.keras as keras from tensorflow.python.keras import optimizers from tensorflow.python.keras.saving import hdf5_format from tensorflow.python.keras.utils import tf_utils from tensorflow.python.keras.saving import saving_utils from t...

44.632258

92

0.626337

1,702

13,836

4.857814

0.202115

0.019352

0.017296

0.014393

0.269231

0.153362

0.09688

0.062893

0.044267

0

0.006838

0.3024

13,836

309

93

44.776699

0.849772

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0

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0

1

0.06701

false

0

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0.005155

0

null

0

null

0

1

0

a32d410f0fad03a9c0fdccb975ef58812fe45a3f

4,576

py

Python

pca.py

vgp314/Udacity-Arvato-Identify-Customer-Segments

6be1d4f1eeac391c17c70fdf584bdc4813f80fd8

[ "ADSL" ]

1

2020-05-21T23:56:57.000Z

pca.py

vgp314/Udacity-Arvato-Identify-Customer-Segments

6be1d4f1eeac391c17c70fdf584bdc4813f80fd8

[ "ADSL" ]

null

pca.py

vgp314/Udacity-Arvato-Identify-Customer-Segments

6be1d4f1eeac391c17c70fdf584bdc4813f80fd8

[ "ADSL" ]

null

#pca model n componentes from sklearn.decomposition import PCA import numpy as np from pylab import rcParams import matplotlib.pyplot as plt import pandas as pd def pca_model_n_components(df,n_components): ''' Definition: Initialize pca with n_components args: dataframe and number of components returns: ...

29.908497

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4,576

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0.206843

0.047075

0.094149

0.122394

0.327169

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0.079354

0.035642

0

0.030454

0.210664

4,576

152

102

30.105263

0.792913

0.210664

0

0.030303

0

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0

1

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false

0

0.075758

0

0.212121

0

null

0

null

0

1

0

a32ec2ac9f37deceb74746f32c5ce3fa89c08ee8

4,446

py

Python

media_analyzer/core/top_news.py

nyancol/MediaAnalyzer

fe504aa63646d27dfca6ca2c5435b0877d65ab2a

[ "MIT" ]

null

media_analyzer/core/top_news.py

nyancol/MediaAnalyzer

fe504aa63646d27dfca6ca2c5435b0877d65ab2a

[ "MIT" ]

null

media_analyzer/core/top_news.py

nyancol/MediaAnalyzer

fe504aa63646d27dfca6ca2c5435b0877d65ab2a

[ "MIT" ]

null

import datetime import numpy as np import json from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD from sklearn.feature_extraction.text import CountVectorizer from nltk.corpus import stopwords import spacy from media_analyzer import database NUM_TOPICS = 20 def load_data(begin, end, langu...

33.938931

97

0.634278

540

4,446

5.087037

0.285185

0.035675

0.032035

0.034947

0.247179

0.12996

0.112486

0.092829

0

0.007207

0.251012

4,446

130

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0

0.147059

0

0.154196

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0

1

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false

0

0.078431

0

0.264706

0.009804

0

null

0

null

0

1

0

a3325c6fb73e3191f10fa77771bfdc292d1ff768

2,586

py

Python

scraper.py

squash-bit/Automate-Whatsapp-News

9bdbbbb397dc680825b19adcda4da81d1f66270c

[ "MIT" ]

4

2020-11-21T19:08:56.000Z

2021-05-06T13:09:45.000Z

scraper.py

squash-bit/Agent-Wallie

9bdbbbb397dc680825b19adcda4da81d1f66270c

[ "MIT" ]

1

2021-05-06T19:26:06.000Z

scraper.py

squash-bit/Agent-Wallie

9bdbbbb397dc680825b19adcda4da81d1f66270c

[ "MIT" ]

1

2021-05-06T13:25:08.000Z

# import necessary modules import os import re import requests import newspaper from bs4 import BeautifulSoup from newspaper import Article from newspaper import Config from article_summarizer import summarizer from time import sleep # clean data class Cleanser: """Scrape the news site and get the relevant updates...

39.181818

144

0.593968

311

2,586

4.803859

0.421222

0.03012

0.026104

0.03079

0.105756

0.085676

0.045515

0

0.01611

0.32792

2,586

65

145

39.784615

0.843498

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0

0.043478

0

0.021739

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0.065217

false

0

0.195652

0

0.347826

0.043478

0

null

0

null

0

1

0

a3340d73b31131cbb0f369140b3afe55408788f6

1,351

py

Python

soli/aria/forms/species.py

rcdixon/soli

d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab

[ "MIT" ]

null

soli/aria/forms/species.py

rcdixon/soli

d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab

[ "MIT" ]

null

soli/aria/forms/species.py

rcdixon/soli

d29c77c1d391dfcc3c0dd0297ecf93fa9aa046ab

[ "MIT" ]

null

from aria.models import Genus, Species, Subspecies from django import forms from django.forms import inlineformset_factory from .templates.templates import createTextInput, createSelectInput class CreateSpeciesForm(forms.ModelForm): class Meta: model = Species fields = ["name", "common_name"] ...

29.369565

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0.634345

132

1,351

6.356061

0.454545

0.035757

0.061979

0

0.002944

0.245744

1,351

45

68

30.022222

0.820412

0

0.055556

0

0.07846

0

1

0.083333

false

0

0.111111

0

0.277778

0

null

0

null

0

1

0

a3349b6abd791f21baf0e781406ef6802460401f

285

py

Python

hour.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

3

2017-04-30T17:44:53.000Z

2018-02-03T06:02:11.000Z

hour.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

10

2021-03-18T20:17:19.000Z

2022-03-11T23:14:19.000Z

hour.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

null

import math def angle(m): return 5.5 * m/60; print(angle(20)) i = 0 for m in range(0,1440*60): a = angle(m) / 360 d = a - math.floor(a) if (d < 0.00001): print(a, math.floor(a), d, d == 0.0) i += 1 print(i) for m in range(25): print(360*m/5.5)

14.25

44

0.508772

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285

2.5

0.413793

0.082759

0.151724

0

0.165829

0.301754

285

19

45

15

0.562814

0

1

0.071429

false

0

0.071429

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0.285714

0

null

0

null

0

1

0

a33556dfd1ea6c5a377213bf148dae18a67adec5

4,038

py

Python

src/third_party/wiredtiger/test/suite/test_encrypt08.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

src/third_party/wiredtiger/test/suite/test_encrypt08.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

src/third_party/wiredtiger/test/suite/test_encrypt08.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Public Domain 2014-present MongoDB, Inc. # Public Domain 2008-2014 WiredTiger, Inc. # # This is free and unencumbered software released into the public domain. # # Anyone is free to copy, modify, publish, use, compile, sell, or # distribute this software, either in source code form or as a com...

43.419355

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4,038

5.141805

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0.025072

0.01361

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0

0.025584

0.225607

4,038

92

88

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0

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0

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0

0.310345

0

null

0

null

0

1

0

a336bdbfb6767de53ac20167cacab792872e5ecf

1,779

py

Python

{{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py

mabdullahabid/cookiecutter-django-rest

8cab90f115b99f7b700ec38a08cb3647eb0a847b

[ "MIT" ]

null

{{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py

mabdullahabid/cookiecutter-django-rest

8cab90f115b99f7b700ec38a08cb3647eb0a847b

[ "MIT" ]

null

{{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/urls.py

mabdullahabid/cookiecutter-django-rest

8cab90f115b99f7b700ec38a08cb3647eb0a847b

[ "MIT" ]

null

from django.conf import settings from django.conf.urls.static import static from django.contrib import admin from django.urls import path, re_path, include, reverse_lazy from django.views.generic.base import RedirectView from rest_framework import permissions from rest_framework.authtoken import views from rest_framew...

35.58

88

0.754918

231

1,779

5.649351

0.363636

0.045977

0.076628

0.057471

0.045977

0

0.001906

0.115233

1,779

50

89

35.58

0.827192

0.075323

0

0.19805

0.067032

0

1

0

false

0

0.289474

0

0.289474

0

null

0

null

0

1

0

a33868010eb5e7ae344ef9b1e3fe0336947b0c2f

4,260

py

Python

pdk_api.py

audacious-software/Passive-Data-Kit-External-Sensors

c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959

[ "Apache-2.0" ]

null

pdk_api.py

audacious-software/Passive-Data-Kit-External-Sensors

c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959

[ "Apache-2.0" ]

null

pdk_api.py

audacious-software/Passive-Data-Kit-External-Sensors

c4781c04ce3cb485b0c1e50a9e7c6db0c92a9959

[ "Apache-2.0" ]

null

# pylint: disable=line-too-long, no-member from __future__ import print_function import arrow import requests from django.conf import settings from django.contrib.gis.geos import GEOSGeometry from django.utils import timezone from django.utils.text import slugify from passive_data_kit_external_sensors.models import...

38.035714

141

0.603286

456

4,260

5.425439

0.27193

0.076799

0.029103

0.031528

0.135812

0.110752

0.033145

0

0.00335

0.299296

4,260

111

142

38.378378

0.825461

0.033099

0

0.081081

0

0.086048

0.008508

0

1

0.027027

false

0.013514

0.121622

0

0.162162

0.054054

0

null

0

null

0

1

0

a339496b618754603c49253c77c1461b236400c0

37,496

py

Python

fgcm/fgcmConfig.py

erykoff/fgcm

51c39c5c7f904fbac755e775038730b4e6ba11bd

[ "Apache-2.0" ]

5

2018-02-02T15:36:46.000Z

2021-05-11T21:54:49.000Z

fgcm/fgcmConfig.py

erykoff/fgcm

51c39c5c7f904fbac755e775038730b4e6ba11bd

[ "Apache-2.0" ]

1

2021-08-19T19:56:33.000Z

fgcm/fgcmConfig.py

lsst/fgcm

51c39c5c7f904fbac755e775038730b4e6ba11bd

[ "Apache-2.0" ]

10

2019-01-09T22:50:04.000Z

2020-02-12T16:36:27.000Z

import numpy as np import os import sys import yaml from .fgcmUtilities import FocalPlaneProjectorFromOffsets from .fgcmLogger import FgcmLogger class ConfigField(object): """ A validatable field with a default """ def __init__(self, datatype, value=None, default=None, required=False, length=None): ...

46.063882

139

0.618759

3,909

37,496

5.91251

0.168074

0.008437

0.027864

0.026869

0.261552

0.194358

0.17333

0.157061

0.135774

0.1009

0

0.011802

0.285897

37,496

813

140

46.120541

0.851359

0.114839

0

0.153707

0

0.111762

0.002851

0

0.00123

0

1

0.023508

false

0.003617

0.012658

0.001808

0.287523

0.009042

0

null

0

null

0

1

0

a33e4ece404ced51ee4f1506f207476b0d455c63

2,398

py

Python

pymic/layer/activation.py

vincentme/PyMIC

5cbbca7d0a19232be647086d4686ceea523f45ee

[ "Apache-2.0" ]

147

2019-12-23T02:52:04.000Z

2022-03-06T16:30:43.000Z

pymic/layer/activation.py

vincentme/PyMIC

5cbbca7d0a19232be647086d4686ceea523f45ee

[ "Apache-2.0" ]

4

2020-12-18T12:47:21.000Z

2021-05-21T02:18:01.000Z

pymic/layer/activation.py

vincentme/PyMIC

5cbbca7d0a19232be647086d4686ceea523f45ee

[ "Apache-2.0" ]

32

2020-01-08T13:48:50.000Z

2022-03-12T06:31:13.000Z

# -*- coding: utf-8 -*- from __future__ import print_function, division import torch import torch.nn as nn def get_acti_func(acti_func, params): acti_func = acti_func.lower() if(acti_func == 'relu'): inplace = params.get('relu_inplace', False) return nn.ReLU(inplace) elif(acti_func == 'l...

31.552632

67

0.607173

306

2,398

4.568627

0.222222

0.114449

0.120172

0.100143

0.080114

0.032904

0

0.016111

0.249374

2,398

76

67

31.552632

0.760556

0.008757

0

0.1633

0.010101

0

1

0.017544

false

0

0.052632

0

0.333333

0.017544

0

null

0

null

0

1

0

a33eb973d0edc831eea7bb11066042e56e9c2e88

3,359

py

Python

ui/flowlayout.py

amadotejada/self-portal

c508fb120548f3eb65e872d08a823d3942fc650d

[ "Apache-2.0" ]

9

2022-03-15T02:02:30.000Z

2022-03-18T16:16:59.000Z

ui/flowlayout.py

amadotejada/self-portal

c508fb120548f3eb65e872d08a823d3942fc650d

[ "Apache-2.0" ]

null

ui/flowlayout.py

amadotejada/self-portal

c508fb120548f3eb65e872d08a823d3942fc650d

[ "Apache-2.0" ]

null

# Copyright 2021 Amado Tejada # # Licensed under the Apache License, Version 2.0 (the 'License'); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...

31.688679

112

0.575171

370

3,359

5.181081

0.362162

0.056338

0.023474

0.016693

0.18362

0.161711

0.131455

0

0.011101

0.329562

3,359

105

113

31.990476

0.840142

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0

0.215385

0

1

0.2

false

0

0.030769

0.061538

0.415385

0

null

0

null

0

1

0

a340df3cf71eb1be1675fbe29cece65cbcc98d43

3,183

py

Python

methods/smartdumpRJ.py

wdempsey/sense2stop-lvm

ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2

[ "CECILL-B" ]

1

2020-04-18T11:16:02.000Z

methods/smartdumpRJ.py

wdempsey/sense2stop-lvm

ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2

[ "CECILL-B" ]

6

2020-04-13T18:38:04.000Z

2022-03-12T00:55:56.000Z

methods/smartdumpRJ.py

wdempsey/sense2stop-lvm

ea44d5f9199382d30e4c5a5ff4bd524313ceb5b2

[ "CECILL-B" ]

1

2020-07-02T04:47:00.000Z

# -*- coding: utf-8 -*- """ Created on Tue May 26 14:29:26 2020 @author: Walter Dempsey & Jamie Yap """ #%% ############################################################################### # Build a RJMCMC class ############################################################################### from pymc import Stochast...

31.514851

88

0.602576

405

3,183

4.646914

0.330864

0.062168

0.026567

0.038257

0.201913

0.190223

0.158342

0.092455

0

0.005556

0.264844

3,183

100

89

31.83

0.798718

0.401194

0

1

0.097561

false

0.02439

0.097561

0

0.243902

0

null

0

null

0

1

0

a34205264c406b528a6fcfa5ac69debf00a2b02c

2,021

py

Python

tests/test_slack_user.py

tomcooperca/mlb-slack-tracker

bbfd8ed6f0c345d5286813a6cd4b04e0557a762a

[ "MIT" ]

null

tests/test_slack_user.py

tomcooperca/mlb-slack-tracker

bbfd8ed6f0c345d5286813a6cd4b04e0557a762a

[ "MIT" ]

7

2018-09-08T20:07:43.000Z

2021-12-13T19:54:53.000Z

tests/test_slack_user.py

tomcooperca/mlb-slack-tracker

bbfd8ed6f0c345d5286813a6cd4b04e0557a762a

[ "MIT" ]

null

from unittest.mock import MagicMock from slack.user import User from baseball.team import Team reusableUser = User(token='blah', id='UB00123', team=None) testTeam = Team(abbreviation='CN', location='City Name', full_name='City Name Players', record='0W-162L', division='CL Beast', wins=0, losses=162, standing=5...

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null

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null

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0

a342151afcda4ba72f2d257247a2de01de22ba98

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py

Python

tmuxp/testsuite/test_workspacefreezer.py

wrongwaycn/tmuxp

367cca3eb1b3162bb7e4801fe752b520f1f8eefa

[ "BSD-3-Clause" ]

2

2018-02-05T01:27:07.000Z

2018-06-10T02:02:25.000Z

tmuxp/testsuite/test_workspacefreezer.py

wrongwaycn/tmuxp

367cca3eb1b3162bb7e4801fe752b520f1f8eefa

[ "BSD-3-Clause" ]

null

tmuxp/testsuite/test_workspacefreezer.py

wrongwaycn/tmuxp

367cca3eb1b3162bb7e4801fe752b520f1f8eefa

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, with_statement import os import sys import logging import time import kaptan from .. import Window, config, exc from ..workspacebuilder import WorkspaceBuilder, freeze from .helpers import TmuxTestCase logger = logging.getLogger...

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null

0

null

0

1

0

a34438fcd2d05af774f8b7d208037ebd093f49f3

1,488

py

Python

test.py

KyleJeong/ast_calculator

cf65ad76739839ac4b3df36b82862612d6bd4492

[ "MIT" ]

6

2016-07-20T07:37:07.000Z

2022-01-14T06:35:26.000Z

test.py

KyleJeong/ast_calculator

cf65ad76739839ac4b3df36b82862612d6bd4492

[ "MIT" ]

1

2020-03-29T05:13:58.000Z

test.py

KyleJeong/ast_calculator

cf65ad76739839ac4b3df36b82862612d6bd4492

[ "MIT" ]

1

2020-03-29T04:29:36.000Z

""" Test cases for AST calculator """ from unittest import TestCase from calc import evaluate class TestCaclEvaluate(TestCase): """ Test cases for AST calculator - evaluation """ def test_simple_expression(self): """ Test expression without functions or constants """ ...

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null

0

null

0

1

0

a34991845be5613841f0b124224655a27cd95755

1,732

py

Python

app.py

u-aaa/House-_prediction_model

4808b4aefb802520a7ccd878c342699093e6942d

[ "MIT" ]

null

app.py

u-aaa/House-_prediction_model

4808b4aefb802520a7ccd878c342699093e6942d

[ "MIT" ]

null

app.py

u-aaa/House-_prediction_model

4808b4aefb802520a7ccd878c342699093e6942d

[ "MIT" ]

1

2021-09-23T19:42:36.000Z

import pickle import json import numpy as np from flask import Flask, request, jsonify app = Flask(__name__) with open('models/regressor.pkl', 'rb') as f: model = pickle.load(f) def __process_input(posted_data) -> np.array: ''' transforms JSON type data acquired from request and transforms it into 2D ...

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1,732

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0.414414

0.052385

0.042095

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0.130964

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0

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0.384615

0

null

0

null

0

1

0

a34d2a23f38ff576e6a5ef0f805165729d2fc6ef

2,789

py

Python

scalex/metrics.py

jsxlei/SCALEX

021c6d35a0cebeaa1f59ea53b9b9e22015ce6e5f

[ "MIT" ]

11

2021-04-09T02:46:29.000Z

2022-01-04T16:42:44.000Z

scale/metrics.py

QingZhan98/SCALE_v2

69bb02beee40ec085684335f356798d4dcb53fbc

[ "MIT" ]

2

2021-04-18T02:30:18.000Z

2022-03-05T10:40:00.000Z

scale/metrics.py

QingZhan98/SCALE_v2

69bb02beee40ec085684335f356798d4dcb53fbc

[ "MIT" ]

4

2021-03-29T12:34:47.000Z

2022-03-06T12:42:45.000Z

#!/usr/bin/env python """ # Author: Xiong Lei # Created Time : Thu 10 Jan 2019 07:38:10 PM CST # File Name: metrics.py # Description: """ import numpy as np import scipy from sklearn.neighbors import NearestNeighbors, KNeighborsRegressor def batch_entropy_mixing_score(data, batches, n_neighbors=100, n_pools=100, n...

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2,789

4.434783

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0.031719

0.043253

0.284314

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0.107843

0.048443

0

0.028238

0.263535

2,789

80

115

34.8625

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0.38616

0

0.083333

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0

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0

0.222222

0

null

0

null

0

1

0

a34e461868bd92e65252352e4554823a69ea35c7

2,603

py

Python

examples/data/create_data.py

fdabek1/EHR-Functions

e6bd0b6fa213930358c4a19be31c459ac7430ca9

[ "MIT" ]

null

examples/data/create_data.py

fdabek1/EHR-Functions

e6bd0b6fa213930358c4a19be31c459ac7430ca9

[ "MIT" ]

null

examples/data/create_data.py

fdabek1/EHR-Functions

e6bd0b6fa213930358c4a19be31c459ac7430ca9

[ "MIT" ]

null

import pandas as pd import random import time # Source: https://stackoverflow.com/a/553320/556935 def str_time_prop(start, end, date_format, prop): """Get a time at a proportion of a range of two formatted times. start and end should be strings specifying times formated in the given format (strftime-styl...

31.743902

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2,603

4.690852

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0.080699

0.069939

0.075319

0.308003

0.27236

0.268325

0.120377

0

0.032945

0.242028

2,603

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103

32.135802

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0

0.285714

0

0.165596

0

1

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false

0

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0.017857

0.160714

0

null

0

null

0

1

0

a350ecde028977958b337223398f9351c3e4bbec

1,317

py

Python

contests/ccpc20qhd/f超时.py

yofn/pyacm

e573f8fdeea77513711f00c42f128795cbba65a6

[ "Apache-2.0" ]

null

contests/ccpc20qhd/f超时.py

yofn/pyacm

e573f8fdeea77513711f00c42f128795cbba65a6

[ "Apache-2.0" ]

null

contests/ccpc20qhd/f超时.py

yofn/pyacm

e573f8fdeea77513711f00c42f128795cbba65a6

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 ''' #ccpc20qhd-f => 最大联通子图 #如果都是联通的,所有节点都要放进去, #友好值=联通子图中边的个数-点的个数 #应该所有(友好值>0)联通子图加起来? #DFS搜索,或者是并查集? 数一数有多少联通块? #最短路用广搜，全部解用深搜连通图的复杂度是O(V+E).. 为什么会Runtime Error? 分析: 解法1: DFS做联通块解法2: 看不包含哪些人，相当于走个捷径! ''' def f(n,l): el = [[] for _ in range(n)] for x,y in l: if x>y...

23.105263

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0.010619

0.038938

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0.026385

0.42445

1,317

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0

0.055556

0

null

0

null

0

1

0

a3525d2e36b057b387fd2a242a0be1258c2a7481

2,920

py

Python

test/feature_extraction/list_counter_test.py

tmhatton/MLinPractice

759706e13181cec864d6aa8ece9ae7042f083e4c

[ "MIT" ]

null

test/feature_extraction/list_counter_test.py

tmhatton/MLinPractice

759706e13181cec864d6aa8ece9ae7042f083e4c

[ "MIT" ]

1

2021-10-19T08:09:44.000Z

test/feature_extraction/list_counter_test.py

tmhatton/MLinPractice

759706e13181cec864d6aa8ece9ae7042f083e4c

[ "MIT" ]

null

import unittest import pandas as pd from code.feature_extraction.list_counter import PhotosNum, URLsNum, HashtagNum, MentionNum, TokenNum from code.util import COLUMN_PHOTOS, COLUMN_URLS, COLUMN_HASHTAGS, COLUMN_MENTIONS class PhotosNumTest(unittest.TestCase): def setUp(self) -> None: self.INPUT_COLUMN ...

30.736842

161

0.667466

348

2,920

5.344828

0.244253

0.077419

0.08871

0.064516

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0.358065

0.332796

0.307527

0

0.016818

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2,920

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31.06383

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0.029795

0

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0

0.311475

0

null

0

null

0

1

0

a352f55dcd4b6a9dcf2653a39663d590b4d79e27

926

py

Python

tests/test_2_promethee.py

qanastek/EasyMCDM

7fa2e2dfe9397834ca9f50211ea2717a16785394

[ "MIT" ]

4

2022-03-05T20:51:38.000Z

2022-03-15T17:10:22.000Z

tests/test_2_promethee.py

qanastek/EasyMCDM

7fa2e2dfe9397834ca9f50211ea2717a16785394

[ "MIT" ]

null

tests/test_2_promethee.py

qanastek/EasyMCDM

7fa2e2dfe9397834ca9f50211ea2717a16785394

[ "MIT" ]

1

2022-03-08T13:45:22.000Z

import unittest from operator import index from EasyMCDM.models.Promethee import Promethee class TestPrometheeMethods(unittest.TestCase): def test_str_str_str(self): d = "data/partiels_donnees.csv" p = Promethee(data=d, verbose=False) res = p.solve( weights=[0.3, ...

42.090909

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0.086275

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926

22

162

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0

0.1875

0

0.3125

0

null

0

null

0

1

0

a3552615d55b8131f79fc858dd41da8c30cf2d71

6,028

py

Python

Source/game/systems/puzzle/hold.py

LucXyMan/starseeker

b5c3365514c982734da7d95621e6b85af550ce82

[ "BSD-3-Clause" ]

null

Source/game/systems/puzzle/hold.py

LucXyMan/starseeker

b5c3365514c982734da7d95621e6b85af550ce82

[ "BSD-3-Clause" ]

null

Source/game/systems/puzzle/hold.py

LucXyMan/starseeker

b5c3365514c982734da7d95621e6b85af550ce82

[ "BSD-3-Clause" ]

1

2019-11-27T18:00:00.000Z

#!/usr/bin/env python2.7 # -*- coding:UTF-8 -*-2 u"""hold.py Copyright (c) 2019 Yukio Kuro This software is released under BSD license. ホールドピース管理モジュール。 """ import pieces as _pieces import utils.const as _const import utils.layouter as _layouter class Hold(object): u"""ホールドピース管理。 """ __slots__ = ( ...

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0

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