xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

ec7e716c12e1ea7abf3037994eb6b405105174c5

3,168

py

Python

templates/scrape_mars.py

eilishlboyd/web-scraping-challenge

9159d1fb3a8b1f2c9cbf6b82827e0eb5c6394992

[ "ADSL" ]

null

templates/scrape_mars.py

eilishlboyd/web-scraping-challenge

9159d1fb3a8b1f2c9cbf6b82827e0eb5c6394992

[ "ADSL" ]

null

templates/scrape_mars.py

eilishlboyd/web-scraping-challenge

9159d1fb3a8b1f2c9cbf6b82827e0eb5c6394992

[ "ADSL" ]

null

#!/usr/bin/env python # coding: utf-8 # In[97]: #Imports & Dependencies get_ipython().system('pip install selenium') get_ipython().system('pip install splinter') from splinter import Browser from bs4 import BeautifulSoup executable_path = {"executable_path": "/usr/local/bin/chromedriver"} browser = Browser("chrome",...

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null

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0

ec863bf797d4f68a78c20b0aaf1e7087f38bcc26

13,679

py

Python

scripts/download-data.py

tamslo/koala

9f8bb0e201bd9a773752f1fd70ecbfc2fe98eb5c

[ "MIT" ]

null

scripts/download-data.py

tamslo/koala

9f8bb0e201bd9a773752f1fd70ecbfc2fe98eb5c

[ "MIT" ]

null

scripts/download-data.py

tamslo/koala

9f8bb0e201bd9a773752f1fd70ecbfc2fe98eb5c

[ "MIT" ]

null

#!/usr/bin/env python3 import sys, os, shutil, json, yaml from time import localtime ONLY_SIMULATED = False ONLY_GIAB = True # Make import from parent directory possible sys.path.append( os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))) import modules.file_utils as file_utils with open(...

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null

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ec87b2a8d66b90a05ef4708e84704798ddc9d79f

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py

Python

src/loadgen/locustfile.py

vlesierse/awsdemo-abshop

a0390e88c0bbb5a9f2da950c9bfed88986826911

[ "MIT-0" ]

null

src/loadgen/locustfile.py

vlesierse/awsdemo-abshop

a0390e88c0bbb5a9f2da950c9bfed88986826911

[ "MIT-0" ]

null

src/loadgen/locustfile.py

vlesierse/awsdemo-abshop

a0390e88c0bbb5a9f2da950c9bfed88986826911

[ "MIT-0" ]

null

# # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy of this # software and associated documentation files (the "Software"), to deal in the Software # without restriction, including without limitation the rights to u...

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null

0

1

0

ec88372c8535e15168d52d6a53fd1a5e9d041265

7,918

py

Python

tests/test_templatetags.py

mixxorz/slippers

af8b8b168653b379efe78654f6801b3af317c44e

[ "MIT" ]

175

2021-07-11T12:12:43.000Z

2022-03-21T16:18:54.000Z

tests/test_templatetags.py

mixxorz/slippers

af8b8b168653b379efe78654f6801b3af317c44e

[ "MIT" ]

6

2021-08-17T19:54:13.000Z

2022-01-25T13:02:29.000Z

tests/test_templatetags.py

mixxorz/slippers

af8b8b168653b379efe78654f6801b3af317c44e

[ "MIT" ]

6

2021-09-14T15:25:57.000Z

2022-01-07T06:35:13.000Z

from django.template import Context, Template, TemplateSyntaxError from django.test import TestCase, override_settings class ComponentTest(TestCase): def test_render_inline_component(self): template = """ {% avatar user="mixxorz" %} """ expected = """ <div>I am ava...

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0

null

0

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0

ec8a2f8960c6c38997c2788b7d41e2a8915b8efa

5,599

py

Python

Application/index.py

mohammadn/Monte_Carlo

d490e5ae82eb134bec59953c697d3fe36ff28d8f

[ "MIT" ]

null

Application/index.py

mohammadn/Monte_Carlo

d490e5ae82eb134bec59953c697d3fe36ff28d8f

[ "MIT" ]

null

Application/index.py

mohammadn/Monte_Carlo

d490e5ae82eb134bec59953c697d3fe36ff28d8f

[ "MIT" ]

null

import os import logging from flask import Flask, request, render_template app = Flask(__name__) def doRender(tname, values={}): if not os.path.isfile( os.path.join(os.getcwd(), 'templates/'+tname) ): return render_template('index.htm') return render_template(tname, **values) @app.route('/', defaults={'path': ...

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null

0

1

0

ec8b6f80bc96cced1d927f6a24327bd17b6dab7b

8,344

py

Python

src/gocept/amqprun/testing.py

NativeInstruments/gocept.amqprun

1f2d959f18617d46d0c3dc8512a910fe302ca384

[ "ZPL-2.1" ]

2

2020-01-29T09:36:50.000Z

2020-02-25T15:07:58.000Z

src/gocept/amqprun/testing.py

NativeInstruments/gocept.amqprun

1f2d959f18617d46d0c3dc8512a910fe302ca384

[ "ZPL-2.1" ]

14

2020-03-20T13:39:31.000Z

2020-10-06T14:03:55.000Z

src/gocept/amqprun/testing.py

gocept/gocept.amqprun

1f2d959f18617d46d0c3dc8512a910fe302ca384

[ "ZPL-2.1" ]

null

import amqp import datetime import email.utils import gocept.amqprun import gocept.amqprun.interfaces import gocept.amqprun.main import gocept.amqprun.worker import logging import os import pkg_resources import plone.testing import plone.testing.zca import signal import string import subprocess import sys import tempfi...

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ec918eada4dea8a6caff0286e38ae25cdcefa19d

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py

Python

examples/timeseries/example_acf.py

Hadrien-Montanelli/learnpy

b9fedb903cfe8c2fff8d7706667f17c51fb3a34f

[ "MIT" ]

1

2020-10-19T21:21:29.000Z

examples/timeseries/example_acf.py

Hadrien-Montanelli/learnpy

b9fedb903cfe8c2fff8d7706667f17c51fb3a34f

[ "MIT" ]

21

2020-10-30T10:15:36.000Z

2020-11-25T09:22:46.000Z

examples/timeseries/example_acf.py

Hadrien-Montanelli/learnpy

b9fedb903cfe8c2fff8d7706667f17c51fb3a34f

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Nov 2 16:17:42 2020 Copyright 2020 by Hadrien Montanelli. """ # %% Imports. # Standard library imports: import matplotlib.pyplot as plt import numpy as np from statsmodels.tsa.stattools import acf as acf2 # Learnpy imports: from learnpy.misc import c...

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null

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null

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0

ec93172931a6512e00485bff696dbae2c5038576

772

py

Python

Python/problem014.py

emergent/ProjectEuler

ec1c92cc47fde80efddeb0346d9b0fa511df1f00

[ "Unlicense" ]

null

Python/problem014.py

emergent/ProjectEuler

ec1c92cc47fde80efddeb0346d9b0fa511df1f00

[ "Unlicense" ]

null

Python/problem014.py

emergent/ProjectEuler

ec1c92cc47fde80efddeb0346d9b0fa511df1f00

[ "Unlicense" ]

null

#! /usr/bin/env python3 ''' Problem 14 - Project Euler http://projecteuler.net/index.php?section=problems&id=014 ''' chains = {} def getCollatzChainLength(n): chain = [] extra = 0 while n != 1: if n in chains: extra = chains[n] break else: chain.append(n)...

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772

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0

null

0

null

0

1

0

ec931bc4df07b3df0aaf9c0ed905fa654356c04b

354

py

Python

buttonStyle.py

rafael-rfzorzi/estiloWidgets

d9e47b9b570b6806ffb334878ee0dd466b391d10

[ "Unlicense" ]

null

buttonStyle.py

rafael-rfzorzi/estiloWidgets

d9e47b9b570b6806ffb334878ee0dd466b391d10

[ "Unlicense" ]

null

buttonStyle.py

rafael-rfzorzi/estiloWidgets

d9e47b9b570b6806ffb334878ee0dd466b391d10

[ "Unlicense" ]

null

from tkinter import * class ButtonGlac(Button): def __init__(self, master=None): super().__init__(master) self.configure( bd=1, bg='#49708D', fg= 'white', font=('Aharoni','10','bold'), activebackground = '#278ab9', activeforeg...

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0

0.25

0

null

0

null

0

1

0

ec93f76feaf219cc796dc101bd2540c75272c895

1,558

py

Python

codewars/7 kyu/growth-of-a-population.py

sirken/coding-practice

9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab

[ "MIT" ]

null

codewars/7 kyu/growth-of-a-population.py

sirken/coding-practice

9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab

[ "MIT" ]

null

codewars/7 kyu/growth-of-a-population.py

sirken/coding-practice

9c5e23b2c24f525a89a5e1d15ce3aec3ad1a01ab

[ "MIT" ]

null

from Test import Test, Test as test ''' In a small town the population is p0 = 1000 at the beginning of a year. The population regularly increases by 2 percent per year and moreover 50 new inhabitants per year come to live in the town. How many years does the town need to see its population greater or equal to p = 120...

38

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null

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null

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1

0

ec96d028c0ae17832cf014fcffe7d77910c0fb12

13,593

py

Python

lib/rabbitdnssec.py

jderuiter/SURFdnssec

5416441a516c689f113684e4e5cb76272c092f9b

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

lib/rabbitdnssec.py

jderuiter/SURFdnssec

5416441a516c689f113684e4e5cb76272c092f9b

[ "BSD-2-Clause", "BSD-3-Clause" ]

1

2021-09-27T11:56:19.000Z

lib/rabbitdnssec.py

jderuiter/SURFdnssec

5416441a516c689f113684e4e5cb76272c092f9b

[ "BSD-2-Clause", "BSD-3-Clause" ]

2

2021-02-03T08:06:26.000Z

2021-09-27T11:48:02.000Z

# rabbitdnssec.py -- DNSSEC management through a RabbitMQ cluster # # These routines can be used somewhat generally within a cluster of # DNSSEC signers as we are using at SURFnet. # # From: Rick van Rein <rick@openfortress.nl> import sys import socket import time import os.path import importlib import ssl import js...

30.963554

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0

null

0

null

0

1

0

eca028126d38ff6361e05ae287f82997405bb260

4,173

py

Python

froide/foirequest/delivery.py

AleksiKnuutila/tietopyynto

4c7438499002e521114daf07f561fd140a21dfbb

[ "MIT" ]

null

froide/foirequest/delivery.py

AleksiKnuutila/tietopyynto

4c7438499002e521114daf07f561fd140a21dfbb

[ "MIT" ]

2

2020-06-05T16:43:43.000Z

2022-02-10T15:47:12.000Z

froide/foirequest/delivery.py

AleksiKnuutila/tietopyynto

4c7438499002e521114daf07f561fd140a21dfbb

[ "MIT" ]

null

from collections import defaultdict, namedtuple from datetime import datetime import importlib import logging import re import os import pytz def get_delivery_report(sender, recipient, timestamp): from django.conf import settings reporter_path = settings.FROIDE_CONFIG.get('delivery_reporter', None) if no...

33.926829

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122

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0.343434

0

null

0

null

0

1

0

eca18d4e3d6f7699e830daef606d6fa6213aa3b2

2,664

py

Python

cogs/admin.py

Mr-Owllers/owll-v2

73ec36b8275166f405224ba0e27e37e7390c104a

[ "MIT" ]

2

2021-12-20T06:25:42.000Z

2022-01-12T17:08:32.000Z

cogs/admin.py

Mr-Owllers/owll-v2

73ec36b8275166f405224ba0e27e37e7390c104a

[ "MIT" ]

null

cogs/admin.py

Mr-Owllers/owll-v2

73ec36b8275166f405224ba0e27e37e7390c104a

[ "MIT" ]

null

import nextcord from nextcord.ext import commands class Admin(commands.Cog): def __init__(self, client): self.client = client @commands.command(help= "delete messages in bulk", aliases=["purge", "c"]) @commands.has_permissions(manage_messages=True) async def clear(self, ctx, amount = 5): await ctx.cha...

36.493151

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null

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null

0

1

0

eca2ad1491618b91b100bae9f35aedb4453e20e3

7,862

py

Python

server/src/dashboard/helpers.py

openml/openml.org

dadc4f79c159058776500b204977a1062b927d4c

[ "BSD-3-Clause" ]

16

2018-10-17T19:35:11.000Z

2022-03-31T23:37:00.000Z

server/src/dashboard/helpers.py

PortML/openml.org

b526fae6c0ba2df0ccebf60f1dd703368ed394ec

[ "BSD-3-Clause" ]

192

2018-10-17T17:31:03.000Z

2022-03-27T23:55:51.000Z

server/src/dashboard/helpers.py

PortML/openml.org

b526fae6c0ba2df0ccebf60f1dd703368ed394ec

[ "BSD-3-Clause" ]

8

2019-04-15T11:47:32.000Z

2021-12-15T13:23:54.000Z

import logging import time from contextlib import contextmanager import numpy as np import pandas as pd import scipy.stats from openml import datasets, runs from sklearn.model_selection import train_test_split logger = logging.getLogger("dashboard") logger.setLevel(logging.DEBUG) def get_run_df(run_id: int): ru...

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0

null

0

null

0

1

0

eca4811c42e1ebee944b531840d43c283210f993

414

py

Python

clinicInformation/serializers.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

null

clinicInformation/serializers.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

1

2020-08-05T22:58:28.000Z

clinicInformation/serializers.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

null

from rest_framework import serializers from .models import DoctorClinic class DoctorClinicSerializer(serializers.ModelSerializer): class Meta: model = DoctorClinic fields = ( 'id', 'user', 'doctor_name', 'specialty', 'clinic_name', 'clinic_street', 'clinic_city', ...

19.714286

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0.222222

0

null

0

null

0

1

0

eca4f5aa27488a24c929f36854a3145b768fa867

3,266

py

Python

benwaonline/auth/core.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

null

benwaonline/auth/core.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

16

2017-09-13T10:21:40.000Z

2020-06-01T04:32:22.000Z

benwaonline/auth/core.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

null

import os import requests from flask import current_app from jose import jwt, exceptions from benwaonline.cache import cache from benwaonline.exceptions import BenwaOnlineAuthError ALGORITHMS = ['RS256'] def verify_token(token): unverified_header = jwt.get_unverified_header(token) rsa_key = match_key_id(unve...

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95

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3,266

5.223919

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28.155172

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0.247312

0

null

0

null

0

1

0

eca718b2290753661c89ffe0f3b12919b0789cc0

3,430

py

Python

scripts/commands/SynthSeg_predict.py

hvgazula/SynthSeg

cd597b080eb11bdd54e4e75b28b79b41b322c0c8

[ "Apache-2.0" ]

98

2020-03-03T20:54:34.000Z

2022-03-28T17:40:30.000Z

scripts/commands/SynthSeg_predict.py

hvgazula/SynthSeg

cd597b080eb11bdd54e4e75b28b79b41b322c0c8

[ "Apache-2.0" ]

29

2020-07-02T10:03:48.000Z

2022-03-31T16:48:24.000Z

scripts/commands/SynthSeg_predict.py

hvgazula/SynthSeg

cd597b080eb11bdd54e4e75b28b79b41b322c0c8

[ "Apache-2.0" ]

21

2020-05-18T14:27:20.000Z

2022-03-31T08:27:43.000Z

""" If you use this code, please cite one of the SynthSeg papers: https://github.com/BBillot/SynthSeg/blob/master/bibtex.bib Copyright 2020 Benjamin Billot 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 Lice...

42.345679

115

0.730904

498

3,430

4.943775

0.409639

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0.025995

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0.1316

0.113323

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0.007529

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116

42.875

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0.05

0

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0.1

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null

0

null

0

1

0

eca7aaf626d3547ce8f5558fdf53e3a5737336a0

6,238

py

Python

src/bitcoin/tx.py

trevormcguire/pybitcoin

32ff859f4e51e5349fb70ca3c8a8782fd8cad25f

[ "MIT" ]

1

2022-02-09T16:06:49.000Z

src/bitcoin/tx.py

trevormcguire/pybitcoin

32ff859f4e51e5349fb70ca3c8a8782fd8cad25f

[ "MIT" ]

2

2022-02-09T17:59:57.000Z

2022-02-09T18:00:27.000Z

src/bitcoin/tx.py

trevormcguire/pybitcoin

32ff859f4e51e5349fb70ca3c8a8782fd8cad25f

[ "MIT" ]

null

from __future__ import annotations from typing import * from .utils import encode_int, encode_varint, decode_int, decode_varint, ensure_stream, base58, hash256 from .script import Script from io import BytesIO from .keys import PublicKey from .ecdsa import Signature, validate_signature def get_tx_idx(wallet, prev_tx):...

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0.012358

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0.219697

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null

0

null

0

1

0

eca7bb7d5f66ac5cb221611f5b01d3bad9a853f9

637

py

Python

src/cogs/utils/sendEmbed.py

kugiyasan/discordBot

647fbcaa8686e99774eddeb57359730196a4f65f

[ "MIT" ]

3

2020-07-05T21:37:07.000Z

2021-09-21T11:11:45.000Z

src/cogs/utils/sendEmbed.py

kugiyasan/discordBot

647fbcaa8686e99774eddeb57359730196a4f65f

[ "MIT" ]

null

src/cogs/utils/sendEmbed.py

kugiyasan/discordBot

647fbcaa8686e99774eddeb57359730196a4f65f

[ "MIT" ]

null

from typing import Any import discord from discord.ext import commands from ..mofupoints import incrementEmbedCounter async def sendEmbed( ctx: commands.Context, url: str, localImageFile: discord.File = None, **kwargs: Any ) -> None: print(url) if hasattr(ctx, "author"): incrementEm...

26.541667

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0.681319

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637

5.623377

0.532468

0.04157

0.055427

0

0.21978

637

23

89

27.695652

0.871227

0.059655

0

0.010453

0

1

0

false

0

0.25

0

0.25

0.0625

0

null

0

null

0

1

0

ecaa497a69908d5f08791b6cdfaef3362767f993

11,449

py

Python

lib/ithor_env.py

XiaoLiSean/Cognitive-Map

6b2019e5b3a46902b06c8d5d1e86b39425042de9

[ "MIT" ]

null

lib/ithor_env.py

XiaoLiSean/Cognitive-Map

6b2019e5b3a46902b06c8d5d1e86b39425042de9

[ "MIT" ]

null

lib/ithor_env.py

XiaoLiSean/Cognitive-Map

6b2019e5b3a46902b06c8d5d1e86b39425042de9

[ "MIT" ]

1

2021-11-04T06:25:31.000Z

# Module for iTHOR env set up and simple navigation from ai2thor.controller import Controller from termcolor import colored from dijkstar import Graph, find_path from lib.params import SIM_WINDOW_HEIGHT, SIM_WINDOW_WIDTH, VISBILITY_DISTANCE, FIELD_OF_VIEW import matplotlib.pyplot as plt import numpy as np import time,...

44.548638

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11,449

4.698621

0.177931

0.029062

0.022897

0.013357

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0.28064

0.199031

0.162777

0.079994

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0

0.017043

0.262032

11,449

256

154

44.722656

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0

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1

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false

0.010101

0.035354

0

0.166667

0.025253

0

null

0

null

0

1

0

ecac3170910e2522fe20eaaf7efb5d1875ecf0af

12,033

py

Python

tests/test_sendgrid_inbound.py

tiltec/django-anymail

508a3a073f1b51c453bade2532627a72e204520b

[ "BSD-3-Clause" ]

null

tests/test_sendgrid_inbound.py

tiltec/django-anymail

508a3a073f1b51c453bade2532627a72e204520b

[ "BSD-3-Clause" ]

null

tests/test_sendgrid_inbound.py

tiltec/django-anymail

508a3a073f1b51c453bade2532627a72e204520b

[ "BSD-3-Clause" ]

null

import json from io import BytesIO from textwrap import dedent from django.test import tag from mock import ANY from anymail.inbound import AnymailInboundMessage from anymail.signals import AnymailInboundEvent from anymail.webhooks.sendgrid import SendGridInboundWebhookView from .utils import dedent_bytes, sample_im...

49.72314

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1,350

12,033

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0.070454

0.032164

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0.350599

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0

0.044272

0.262279

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116

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0.019512

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0.009756

0

null

0

null

0

1

0

ecad91fbf1d2b45d2f19da435e1adb82e6ade7a6

233

py

Python

scripts/randomizer.py

cmuell89/DS-A

a408252e1993423c510c3cbe49501acc6916e91f

[ "MIT" ]

null

scripts/randomizer.py

cmuell89/DS-A

a408252e1993423c510c3cbe49501acc6916e91f

[ "MIT" ]

null

scripts/randomizer.py

cmuell89/DS-A

a408252e1993423c510c3cbe49501acc6916e91f

[ "MIT" ]

null

# coding=utf-8 from random import shuffle with open("../data/words.txt") as f: words = f.read().splitlines() shuffle(words) with open("../data/random_words.txt", "w") as f: for item in words: f.write("%s\n" % item)

21.181818

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0.622318

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3.789474

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0.111111

0.166667

0

0.005291

0.188841

233

11

49

21.181818

0.756614

0.051502

0

0.209091

0.109091

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

ecaf99cf8d95777800b2e98c8ecd1054419889eb

1,839

py

Python

tests/Commands/test_SystemCommands.py

AndroidKitKat/TerminusBrowser

18d358d7d14bea00b538f9b2d8b9cf0f063d8b5e

[ "BSD-3-Clause" ]

null

tests/Commands/test_SystemCommands.py

AndroidKitKat/TerminusBrowser

18d358d7d14bea00b538f9b2d8b9cf0f063d8b5e

[ "BSD-3-Clause" ]

null

tests/Commands/test_SystemCommands.py

AndroidKitKat/TerminusBrowser

18d358d7d14bea00b538f9b2d8b9cf0f063d8b5e

[ "BSD-3-Clause" ]

null

from commandChanVim import urwidView from Commands.SystemCommands import systemCommands from Frames.reddit.indexFrame import RedditIndexFrame from Frames.fchan.indexFrame import IndexFrame from Frames.defaultFrame import DefaultFrame from customeTypes import SITE import pytest @pytest.fixture def view(): view = u...

29.190476

83

0.693855

234

1,839

5.333333

0.269231

0.09375

0.081731

0.080128

0.391827

0.325321

0.224359

0.126603

0

0.010499

0.171289

1,839

62

84

29.66129

0.808399

0

0.12

0

0.156063

0

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false

0

0.14

0

0.26

0

null

0

null

0

1

0

ecb02d026ee6cbb6ddb8ef5430a7f94d901364f7

5,312

py

Python

ABCer.py

xl0418/ABCer

50f8976f00c555c2face1f451a17142e33df7856

[ "MIT" ]

2

2020-03-25T17:07:59.000Z

2020-04-01T12:03:45.000Z

ABCer.py

xl0418/ABCer

50f8976f00c555c2face1f451a17142e33df7856

[ "MIT" ]

null

ABCer.py

xl0418/ABCer

50f8976f00c555c2face1f451a17142e33df7856

[ "MIT" ]

null

#%% import numpy as np from itertools import repeat from itertools import starmap from scipy.stats import norm class ABCer: def __init__(self, iterations, particles, observations): self.iterations = iterations self.particles = particles self.observations = observations def initialize_...

37.146853

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0.609375

667

5,312

4.616192

0.229385

0.042871

0.049691

0.009743

0.239688

0.181877

0.175382

0.096785

0.061708

0

0.034978

0.278803

5,312

142

133

37.408451

0.768729

0.03012

0

0.041237

0

0.02608

0

1

0.072165

false

0

0.051546

0

0.195876

0.020619

0

null

0

null

0

1

0

ecb1f36fb203b8d051edf6d6cfdeae2ca3d1d0e9

1,405

py

Python

seahub/share/urls.py

saukrIppl/newsea

0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603

[ "Apache-2.0" ]

2

2017-06-21T09:46:55.000Z

2018-05-30T10:07:32.000Z

seahub/share/urls.py

saukrIppl/newsea

0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603

[ "Apache-2.0" ]

null

seahub/share/urls.py

saukrIppl/newsea

0fd5ab2ade9a8fb16b1e7b43ba13dac32eb39603

[ "Apache-2.0" ]

1

2020-10-01T04:11:41.000Z

from django.conf.urls import patterns, url from views import * urlpatterns = patterns('', url(r'^$', list_shared_repos, name='share_admin'), url(r'^links/$', list_shared_links, name='list_shared_links'), url(r'^folders/$', list_priv_shared_folders, name='list_priv_shared_folders'), url(r'^add/$', shar...

61.086957

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0.740214

216

1,405

4.407407

0.157407

0.067227

0.058824

0.044118

0.289916

0.048319

0

0.090391

1,405

22

111

63.863636

0.744914

0

0.417082

0.258363

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

ecb94bd0a8608cae96300c0ab8bd777428b90695

3,388

py

Python

plot_movie.py

diogoff/plasma-tomography

8798351beaa9b069128fffd606587e74d30cb0e1

[ "MIT" ]

5

2019-02-08T18:34:45.000Z

2020-05-30T17:42:14.000Z

plot_movie.py

diogoff/plasma-tomography

8798351beaa9b069128fffd606587e74d30cb0e1

[ "MIT" ]

null

plot_movie.py

diogoff/plasma-tomography

8798351beaa9b069128fffd606587e74d30cb0e1

[ "MIT" ]

1

2018-07-18T12:50:03.000Z

import os import sys import h5py import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as ani from cmap import * from tensorflow.keras.models import load_model # ---------------------------------------------------------------------- if len(sys.argv) < 6: print('Usage: %s pulse t0 t1 dt v...

25.666667

90

0.527745

482

3,388

3.628631

0.313278

0.031447

0.027444

0.032018

0.177244

0.140652

0.105203

0.036592

0

0.051957

0.147875

3,388

131

91

25.862595

0.553862

0.146399

0

0.022989

0

0.131113

0

1

0.011494

false

0

0.091954

0

0.103448

0.172414

0

null

0

null

0

1

0

ecba0c87c633e44ca11824d2967de64d71f156ed

2,940

py

Python

main.py

William-Wang1988/gitblog

5d064f69755992fa8e85fd53bc9a8d3589d97971

[ "MIT" ]

null

main.py

William-Wang1988/gitblog

5d064f69755992fa8e85fd53bc9a8d3589d97971

[ "MIT" ]

10

2020-08-31T08:17:26.000Z

2020-09-21T03:39:12.000Z

main.py

William-Wang1988/gitblog

5d064f69755992fa8e85fd53bc9a8d3589d97971

[ "MIT" ]

null

# -*- coding: utf-8 -*- from github import Github from github.Issue import Issue import argparse MD_HEAD = """## Gitblog My personal blog using issues and GitHub Action """ ME_GITHUB_NAME = "gatsby101" ANCHOR_NUMBER = 5 TOP_ISSUES_LABELS = [ "Top", ] def isMe(issue): return issue.user.login == ME_GITHUB_NAM...

25.128205

81

0.591156

408

2,940

4.044118

0.230392

0.049091

0.036364

0.041212

0.271515

0.197576

0.164848

0.115758

0

0.008072

0.283673

2,940

117

82

25.128205

0.775404

0.018707

0

0.156627

0

0.108221

0.026708

0

1

0.156627

false

0

0.036145

0.084337

0.289157

0

null

0

null

0

1

0

ecba4755ffe4747535ec4eeeb0e07ad5f74903d6

2,687

py

Python

week-03/lab_03/lab_03_code.py

andrewn488/OMSBA-5067

ab2f9e9a3c7dcb88f838ce8e40eb3bca142d059a

[ "MIT" ]

null

week-03/lab_03/lab_03_code.py

andrewn488/OMSBA-5067

ab2f9e9a3c7dcb88f838ce8e40eb3bca142d059a

[ "MIT" ]

null

week-03/lab_03/lab_03_code.py

andrewn488/OMSBA-5067

ab2f9e9a3c7dcb88f838ce8e40eb3bca142d059a

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Apr 15 22:15:28 2021 @author: ANalundasan For: OMSBA 5067, Lab 3 """ import numpy as np import matplotlib.pyplot as plt import math #################### STEP 1 - KNN Classifier ################################# data = np.array([ [1, 1,1,1,1, 3], ...

28.284211

79

0.426498

384

2,687

2.958333

0.291667

0.038732

0.029049

0.014085

0.024648

0

0.139466

0.372907

2,687

95

80

28.284211

0.534718

0.333457

0

0.133333

0

0.030565

0

1

0.022222

false

0

0.066667

0

0.088889

0.044444

0

null

0

null

0

1

0

ecbdfa159cc6c94130e99feee6fc9442f8f7112a

4,440

py

Python

nxsdk_modules_ncl/epl/data/gen_wgts_for_inference.py

biagiom/models

79489a3c429b3027dd420840bbccfee5e8c9a879

[ "BSD-3-Clause" ]

54

2020-03-04T17:37:17.000Z

2022-02-22T13:16:10.000Z

nxsdk_modules_ncl/epl/data/gen_wgts_for_inference.py

biagiom/models

79489a3c429b3027dd420840bbccfee5e8c9a879

[ "BSD-3-Clause" ]

9

2020-08-26T13:17:54.000Z

2021-11-09T09:02:00.000Z

nxsdk_modules_ncl/epl/data/gen_wgts_for_inference.py

biagiom/models

79489a3c429b3027dd420840bbccfee5e8c9a879

[ "BSD-3-Clause" ]

26

2020-03-18T17:09:34.000Z

2021-11-22T16:23:14.000Z

# Copyright(c) 2019-2020 Intel Corporation All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of condition...

40.363636

93

0.647973

516

4,440

5.531008

0.387597

0.021023

0.023826

0.024177

0.199019

0.107218

0

0.017985

0.273649

4,440

109

94

40.733945

0.866977

0.357658

0

0.163934

0

0.045712

0

1

0.081967

false

0

0.04918

0.032787

0.180328

0.032787

0

null

0

null

0

1

0

ecc0a2e456508d8dfa56614ecca79ec800ea879d

3,363

py

Python

server/permissions/users.py

dragorhast/server

a5ad238e630c3b575e3bc3c51718e7ebfff1e4d1

[ "MIT" ]

5

2018-11-28T11:33:25.000Z

2022-03-27T12:50:02.000Z

server/permissions/users.py

dragorhast/server

a5ad238e630c3b575e3bc3c51718e7ebfff1e4d1

[ "MIT" ]

124

2018-10-07T21:31:02.000Z

2019-03-26T11:51:00.000Z

server/permissions/users.py

dragorhast/server

a5ad238e630c3b575e3bc3c51718e7ebfff1e4d1

[ "MIT" ]

null

from aiohttp.web_urldispatcher import View from server.models import User, Bike, Reservation from server.models.user import UserType from server.permissions.permission import RoutePermissionError, Permission from server.service.access.users import get_user from server.service.verify_token import verify_token, TokenVer...

36.956044

111

0.680345

412

3,363

5.451456

0.254854

0.100178

0.032057

0.042743

0.459038

0.426981

0.363313

0.319679

0.233304

0.105966

0

0.223907

3,363

90

112

37.366667

0.860536

0.11121

0

0.303571

0

0.179175

0

1

0.071429

false

0

0.107143

0.071429

0.357143

0

null

0

null

0

1

0

ecc3b237f1452c998b773c172662c9bd6ab6636e

315

py

Python

Two-pointer/Move elements in the array/Remove elements #27.py

Awesomeyaya/Leetcode-Two-pointer

15cd0a73f5abc4d0d19d18c231750d31dc839dbe

[ "MIT" ]

null

Two-pointer/Move elements in the array/Remove elements #27.py

Awesomeyaya/Leetcode-Two-pointer

15cd0a73f5abc4d0d19d18c231750d31dc839dbe

[ "MIT" ]

null

Two-pointer/Move elements in the array/Remove elements #27.py

Awesomeyaya/Leetcode-Two-pointer

15cd0a73f5abc4d0d19d18c231750d31dc839dbe

[ "MIT" ]

1

2018-10-29T17:33:52.000Z

def removeElement(self, nums, val): """ :type nums: List[int] :type val: int :rtype: int """ zero = 0 for n in range(len(nums)): if nums[n] != val: nums[zero] = nums[n] zero = zero + 1 return zero

22.5

36

0.396825

35

315

3.571429

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13

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0

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0

null

0

null

0

1

0

ecd274b39828a2cbb60621e83b0c76718302d58c

620

py

Python

visual-option-chain/tasks.py

WillWcchan/Visual-Option-Chain-Graph

f9bfec4a262c2c3c3212e38113af4ad59517c52c

[ "MIT" ]

1

2021-11-13T20:03:17.000Z

visual-option-chain/tasks.py

WillWcchan/Visual-Option-Chain-Graph

f9bfec4a262c2c3c3212e38113af4ad59517c52c

[ "MIT" ]

5

2021-04-08T21:58:58.000Z

2021-10-31T00:55:39.000Z

visual-option-chain/tasks.py

WillWcchan/Visual-Option-Chain-Graph

f9bfec4a262c2c3c3212e38113af4ad59517c52c

[ "MIT" ]

null

from celery import shared_task from django.core.mail import send_mail from datetime import datetime from time import sleep # Start the worker process and be on top of the visual-option-chain directory: celery -A visual-option-chain worker -l info -E @shared_task def send_email_task(subject, message, from_email, recip...

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0

null

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null

0

1

0

ecd534abd7f8a9a4fecc3c6b9c2956ced9c8bbfb

4,631

py

Python

model/predict_from_file.py

elephantum/image-tools

38d704a1ade32ed1f6ae8c652d257c15b7cc2740

[ "MIT" ]

null

model/predict_from_file.py

elephantum/image-tools

38d704a1ade32ed1f6ae8c652d257c15b7cc2740

[ "MIT" ]

null

model/predict_from_file.py

elephantum/image-tools

38d704a1ade32ed1f6ae8c652d257c15b7cc2740

[ "MIT" ]

null

""" Given a csv or txt file and a Tensorflow 1.15 SavedModel file, run image classification on the urls and write the predicted label and confidence back to the file """ import argparse import os from io import BytesIO import requests import pandas as pd from csv import writer as csv_writer from tqdm import tqdm from m...

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4,631

4.605809

0.276625

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0.075075

0.037237

0

0.00386

0.160872

4,631

123

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0.048193

0

null

0

null

0

1

0

ecd5add47e791d4dc866d0ec2a94e998ea16a8cb

2,403

py

Python

line_art/line_art.py

Ravenlocke/PythonArt

30de6117f7639313344c9938087399acfc93ba80

[ "MIT" ]

null

line_art/line_art.py

Ravenlocke/PythonArt

30de6117f7639313344c9938087399acfc93ba80

[ "MIT" ]

null

line_art/line_art.py

Ravenlocke/PythonArt

30de6117f7639313344c9938087399acfc93ba80

[ "MIT" ]

null

import click import matplotlib.pyplot as plt import numpy as np from loguru import logger from matplotlib.collections import LineCollection number_to_degrees = { k: (np.cos(np.pi * 2 / 10 * k), np.sin(np.pi * 2 / 10 * k)) for k in range(10) } @click.command() @click.option( "--seed", "-s", default=0, hel...

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0.21598

2,403

91

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0

0.078947

0

null

0

null

0

1

0

ecd6a85eca2c9043b2128295fe6e487ccb69bc48

1,277

py

Python

src/utils/reddit.py

mzone242/Loth-Bot

830b3659c86f36e84c12e13796f74c607ff2868e

[ "MIT" ]

null

src/utils/reddit.py

mzone242/Loth-Bot

830b3659c86f36e84c12e13796f74c607ff2868e

[ "MIT" ]

null

src/utils/reddit.py

mzone242/Loth-Bot

830b3659c86f36e84c12e13796f74c607ff2868e

[ "MIT" ]

null

import datetime import logging logger = logging.getLogger("utils.reddit") subreddit = None over_threshold = [] def load_subreddit(_subreddit): global subreddit subreddit = _subreddit return def fetch_posts(_limit): try: logger.info(f"Fetching top {_limit} posts from {subreddit.display_name...

28.377778

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151

1,277

4.827815

0.456954

0.071331

0.060357

0

0.019495

0.31715

1,277

44

100

29.022727

0.816514

0

0.1574

0.018794

0

1

0.055556

false

0

0.055556

0

0.194444

0

null

0

null

0

1

0

ecd8a0ddb4c88f7b415905177b5939de99f001aa

1,220

py

Python

mfcc-features.py

gitikadaswani/Audio-Genre-Classification

5702ed067d41982018a3e166dcdcd7b8e8cc6fa9

[ "MIT" ]

20

2017-12-09T02:41:46.000Z

2020-08-29T06:26:57.000Z

mfcc-features.py

debeat/Audio-Genre-Classification

5702ed067d41982018a3e166dcdcd7b8e8cc6fa9

[ "MIT" ]

2

2018-04-20T14:13:05.000Z

2020-01-21T17:14:46.000Z

mfcc-features.py

debeat/Audio-Genre-Classification

5702ed067d41982018a3e166dcdcd7b8e8cc6fa9

[ "MIT" ]

11

2018-05-17T07:32:51.000Z

2021-11-11T23:51:36.000Z

#from scikits.talkbox.features import mfcc import scipy.io.wavfile import numpy as np import sys import os import glob from utils1 import GENRE_DIR, GENRE_LIST from python_speech_features import mfcc #from librosa.feature import mfcc # Given a wavfile, computes mfcc and saves mfcc data def create_ceps(wavfile): sam...

25.416667

66

0.741803

199

1,220

4.396985

0.422111

0.034286

0.044571

0.036571

0.052571

0

0.002899

0.151639

1,220

48

67

25.416667

0.842512

0.196721

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0.018735

0

1

0.103448

false

0

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0

0.344828

0.068966

0

null

0

null

0

1

0

ecdc6ba10786df9e7a33a53fdc2a2e452c9d0c0f

1,551

py

Python

2022/fix_user_varbinaries_T298565.py

wikimedia/operations-software-schema-changes

d5fc0442126c9e4280b90302f675889724b085db

[ "Apache-2.0" ]

1

2022-03-25T06:59:37.000Z

2022/fix_user_varbinaries_T298565.py

wikimedia/operations-software-schema-changes

d5fc0442126c9e4280b90302f675889724b085db

[ "Apache-2.0" ]

null

2022/fix_user_varbinaries_T298565.py

wikimedia/operations-software-schema-changes

d5fc0442126c9e4280b90302f675889724b085db

[ "Apache-2.0" ]

null

from auto_schema.schema_change import SchemaChange # Copy this file and make adjustments # Set to None or 0 to skip downtiming downtime_hours = 6 ticket = 'T298565' fields = { 'user_newpass_time': 'BINARY(14) DEFAULT NULL', 'user_email_authenticated': 'BINARY(14) DEFAULT NULL', 'user_email_token': 'BINAR...

31.653061

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0.03125

0

0.125

0

null

0

null

0

1

0

ecdfc10584ead3508610d287f02bad431a223015

1,069

py

Python

controllers/messagelog.py

uezo/linebot-project-template

294d40f5c50a3bbee346314107b60e98f4e07bf0

[ "MIT" ]

14

2019-08-05T22:54:59.000Z

2021-12-21T00:29:22.000Z

controllers/messagelog.py

whitecat-22/linebot-project-template

294d40f5c50a3bbee346314107b60e98f4e07bf0

[ "MIT" ]

1

2021-06-17T09:30:33.000Z

2021-06-18T07:16:37.000Z

controllers/messagelog.py

whitecat-22/linebot-project-template

294d40f5c50a3bbee346314107b60e98f4e07bf0

[ "MIT" ]

5

2019-09-03T06:51:44.000Z

2021-06-17T09:40:42.000Z

from flask import ( Blueprint, current_app, request, abort, render_template ) from minette.serializer import loads # メインから読み込むBlueprintの定義 bp = Blueprint("messagelog", __name__) # メッセージログのハンドラー @bp.route("/messagelog", methods=["GET"]) def messagelog(): # BOTインスタンスの取得 bot = current_app.l...

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0.541667

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1,069

34

77

31.441176

0.808664

0.108513

0

0.195354

0

1

0.04

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0.04

0.08

0

0.16

0.08

0

null

0

null

0

1

0

ece0d4591ac1dbef0075df8821e6f6390b749839

5,015

py

Python

model/MolecularVAE_TF.py

DexiongYung/molecular-vae

ca0e5a58abfc89e693d06331f93e5a23b948b683

[ "MIT" ]

null

model/MolecularVAE_TF.py

DexiongYung/molecular-vae

ca0e5a58abfc89e693d06331f93e5a23b948b683

[ "MIT" ]

null

model/MolecularVAE_TF.py

DexiongYung/molecular-vae

ca0e5a58abfc89e693d06331f93e5a23b948b683

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from utilities import DEVICE def vae_loss(x_decoded_mean, x, z_mean, z_sd): bce_loss = F.binary_cross_entropy(x_decoded_mean, x, reduction='sum') kl_loss = -0.5 * torch.sum(1 + z_sd - z_mean.pow(2) - z_sd) return bce_loss + kl_loss class...

38.875969

76

0.592223

734

5,015

3.768392

0.192098

0.060738

0.037961

0.014461

0.271511

0.15799

0.116052

0.057845

0.03543

0

0.020011

0.292522

5,015

128

77

39.179688

0.759583

0.00658

0

0.048544

0

0.000605

0

1

0.058252

false

0

0.038835

0

0.15534

0

null

0

null

0

1

0

ece2b7f45bad32bc48fb693a6dbc789112e48513

2,391

py

Python

gdmtl/datasets/sampler.py

binshengliu/gdmtl

fb8bfe0e87bbd6d8535cc8449012fb4119430d4c

[ "MIT" ]

null

gdmtl/datasets/sampler.py

binshengliu/gdmtl

fb8bfe0e87bbd6d8535cc8449012fb4119430d4c

[ "MIT" ]

null

gdmtl/datasets/sampler.py

binshengliu/gdmtl

fb8bfe0e87bbd6d8535cc8449012fb4119430d4c

[ "MIT" ]

1

2022-02-26T00:49:03.000Z

from __future__ import annotations from typing import Iterator, List import numpy as np from more_itertools import chunked from torch.utils.data import Sampler from .rank_dataset import TokenCountDataset class DynamicBatchSampler(Sampler): # type:ignore def __init__( self, dataset: TokenCountD...

30.653846

88

0.608532

294

2,391

4.795918

0.319728

0.085816

0.049645

0.025532

0.324823

0.283688

0.22695

0.163121

0

0.002392

0.300711

2,391

77

89

31.051948

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0.148892

0

0.327273

0

1

0.127273

false

0

0.109091

0.072727

0.363636

0

null

0

null

0

1

0

ece5b98101c0b7084789fda8de5123934565565b

15,973

py

Python

tamarco/core/microservice.py

System73/tamarco

c85bec267d39057a4cd5f1c9854d5e2840cebb1e

[ "MIT" ]

9

2019-09-06T10:57:36.000Z

2019-10-14T07:24:02.000Z

tamarco/core/microservice.py

System73/tamarco

c85bec267d39057a4cd5f1c9854d5e2840cebb1e

[ "MIT" ]

4

2020-04-06T15:52:40.000Z

2021-06-02T00:27:33.000Z

tamarco/core/microservice.py

System73/tamarco

c85bec267d39057a4cd5f1c9854d5e2840cebb1e

[ "MIT" ]

3

2019-09-06T10:52:05.000Z

2019-10-10T07:45:26.000Z

import asyncio import logging import sys import time import uuid from collections import OrderedDict from collections.abc import Callable from functools import partial from threading import Thread from typing import Coroutine, Union from tamarco.core.dependency_resolver import CantSolveDependencies, resolve_dependency...

38.121718

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0.65617

1,984

15,973

5.139113

0.169355

0.026481

0.019223

0.018341

0.298254

0.251177

0.219106

0.203511

0.161044

0.153393

0

0.001856

0.257998

15,973

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121

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0

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0.008065

0

null

0

null

0

1

0

ece6b2f23aba6f4dbaac2a541f07ef48b3ac7e3b

4,990

py

Python

napari/utils/colormaps/_tests/test_categorical_colormap.py

MaksHess/napari

64a144607342c02177fc62fa83a3442ace0a98e7

[ "BSD-3-Clause" ]

1,345

2019-03-03T21:14:14.000Z

2022-03-31T19:46:39.000Z

napari/utils/colormaps/_tests/test_categorical_colormap.py

MaksHess/napari

64a144607342c02177fc62fa83a3442ace0a98e7

[ "BSD-3-Clause" ]

3,904

2019-03-02T01:30:24.000Z

2022-03-31T20:17:27.000Z

napari/utils/colormaps/_tests/test_categorical_colormap.py

MaksHess/napari

64a144607342c02177fc62fa83a3442ace0a98e7

[ "BSD-3-Clause" ]

306

2019-03-29T17:09:10.000Z

2022-03-30T09:54:11.000Z

import json from itertools import cycle import numpy as np import pytest from napari.utils.colormaps.categorical_colormap import CategoricalColormap def test_default_categorical_colormap(): cmap = CategoricalColormap() assert cmap.colormap == {} color_cycle = cmap.fallback_color np.testing.assert_a...

33.716216

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0.690982

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4,990

4.717986

0.130935

0.025008

0.026532

0.020738

0.501067

0.374504

0.269594

0.191522

0.184203

0.128088

0

0.031411

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147

83

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0

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0.078431

false

0

0.04902

0

0.127451

0

null

0

null

0

1

0

ecf1ce20b4fefaf58c8c7d08d20616ef3be895a2

375

py

Python

src/utils/utils.py

andrelopez/cron-parser-cli

35df5d5d8113dde99bee95f834c63248ce459194

[ "MIT" ]

null

src/utils/utils.py

andrelopez/cron-parser-cli

35df5d5d8113dde99bee95f834c63248ce459194

[ "MIT" ]

null

src/utils/utils.py

andrelopez/cron-parser-cli

35df5d5d8113dde99bee95f834c63248ce459194

[ "MIT" ]

null

from columnar import columnar def print_table(minute: str, hour: str, day: str, month: str, week: str, cmd: str) -> str: table = [ ['minute', minute], ['hour', hour], ['day of month', day], ['month', month], ['day of week', week], ['command', cmd] ] table = ...

25

90

0.541333

46

375

4.369565

0.413043

0.109453

0

0.296

375

15

91

25

0.761364

0

0.119681

0

1

0.083333

false

0

0.083333

0

0.25

0.083333

0

null

0

null

0

1

0

ecf35ef4c074dccc46a80355a4787bf3619f13a3

778

py

Python

tests/utils/test_download.py

openghg/gather

0096cfe66b0093cdd294fa2a67c060d7fc28d2fa

[ "Apache-2.0" ]

null

tests/utils/test_download.py

openghg/gather

0096cfe66b0093cdd294fa2a67c060d7fc28d2fa

[ "Apache-2.0" ]

null

tests/utils/test_download.py

openghg/gather

0096cfe66b0093cdd294fa2a67c060d7fc28d2fa

[ "Apache-2.0" ]

null

from gather.utils import download import hashlib from helpers import get_datapath def test_download(requests_mock): beaco2n_data = get_datapath(filename="test_data.csv", network="beaco2n") binary_data = beaco2n_data.read_bytes() mock_url = "https://example.com/some_csv.txt" requests_mock.get( ...

19.948718

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0.667095

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778

5.103093

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0.090909

0.115152

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0.141414

0

0.054237

0.241645

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38

77

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0

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0

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false

0

0.111111

0

0.148148

0

null

0

null

0

1

0

ecf408df66ed468cf11584dcfbbc451fc2a54142

917

py

Python

LeNet/LeNet_pt.py

MuhammedAshraf2020/implementation-of-CNN-Models

52be2b8d27c2340d30b6cab1883fffdb2f656343

[ "MIT" ]

2

2021-02-09T16:14:50.000Z

2021-08-03T13:33:47.000Z

LeNet/LeNet_pt.py

MuhammedAshraf2020/implementation-of-CNN-Models

52be2b8d27c2340d30b6cab1883fffdb2f656343

[ "MIT" ]

null

LeNet/LeNet_pt.py

MuhammedAshraf2020/implementation-of-CNN-Models

52be2b8d27c2340d30b6cab1883fffdb2f656343

[ "MIT" ]

null

import torch import torch.nn as nn import torch.optim as optim # Create Model class LeNet_pt(nn.Module): def __init__(self): super(LeNet_pt , self).__init__() self.ConvModel = nn.Sequential( nn.Conv2d(in_channels = 3 , out_channels = 6 , kernel_size = (5 , 5) , padding = (0 , 0) , stride = (1 , 1)), ...

35.269231

118

0.586696

140

917

3.692857

0.321429

0.096712

0.058027

0.104449

0.381044

0

0.075036

0.244275

917

25

119

36.68

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0.013086

0

0.181818

0

1

0.090909

false

0

0.136364

0

0.318182

0

null

0

null

0

1

0

019e55ec1c50df9500d86cf12839f5b296083659

4,782

py

Python

ELA_Training_Module_Final.py

Sawera557/PhotoChamp-Image-Forensic-Tool

e7550a97d33cdf58a66ea0efcc451178bfd88a8d

[ "MIT" ]

null

ELA_Training_Module_Final.py

Sawera557/PhotoChamp-Image-Forensic-Tool

e7550a97d33cdf58a66ea0efcc451178bfd88a8d

[ "MIT" ]

null

ELA_Training_Module_Final.py

Sawera557/PhotoChamp-Image-Forensic-Tool

e7550a97d33cdf58a66ea0efcc451178bfd88a8d

[ "MIT" ]

null

import itertools import os import random as random1 import matplotlib.pyplot as plt import numpy as np import pandas as pd from PIL import Image, ImageChops, ImageEnhance from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D from keras.models import Sequential from keras.optimizers import RMSpr...

37.952381

123

0.645128

663

4,782

4.481146

0.351433

0.021542

0.024234

0.011444

0.080781

0.023561

0

0.029098

0.216646

4,782

125

124

38.256

0.764015

0.045797

0

0.076067

0.00545

0

1

0.032609

false

0

0.163043

0

0.217391

0

null

0

null

0

1

0

01a154d7d3f987732b81523447ce1b96222a9132

3,140

py

Python

natural/bank.py

Foxlik/natural

0e8b15b200525ee147579b025a787646f7534890

[ "MIT" ]

21

2015-03-02T15:41:25.000Z

2020-05-20T12:46:03.000Z

natural/bank.py

Foxlik/natural

0e8b15b200525ee147579b025a787646f7534890

[ "MIT" ]

12

2015-10-29T18:02:00.000Z

2021-11-10T21:49:40.000Z

natural/bank.py

Foxlik/natural

0e8b15b200525ee147579b025a787646f7534890

[ "MIT" ]

8

2015-10-29T17:50:13.000Z

2020-01-16T09:40:53.000Z

from natural.constant import _, IBAN_ALPHABET from natural.constant import BBAN_RULES, BBAN_PATTERN, BBAN_MAP import re def bban_compact(number): ''' Printable compacted Basic Bank Account Number. Removes all the padding characters. :param number: string >>> bban_compact('1234.56.78.90') '12...

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0

null

0

null

0

1

0

01a26e38bfd6477fceda79c2ab6901ad81a89ddd

6,435

py

Python

menu.py

ThinkDownstairs/coder

7a42a9bac941039b96ccf2430e560cc60e2159df

[ "WTFPL" ]

1

2018-03-20T06:01:17.000Z

menu.py

ThinkDownstairs/coder

7a42a9bac941039b96ccf2430e560cc60e2159df

[ "WTFPL" ]

19

2018-03-20T23:11:38.000Z

2018-04-01T17:39:10.000Z

menu.py

ThinkDownstairs/coder

7a42a9bac941039b96ccf2430e560cc60e2159df

[ "WTFPL" ]

null

from collections import namedtuple import state_manager import background import sound import quit_ import howto import locations import pygame import consts class MenuEntry(object): def __init__(self, name: str, typ) -> None: super().__init__() self._name = name self._typ = typ ...

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null

0

null

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1

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01a35af78a818794456f060908d249837cf70d44

5,576

py

Python

cpepgen/chemical_linkages.py

hjuinj/cpepgen

965f84148f783bd1d19aec4c9b86841a598d4a9b

[ "MIT" ]

null

cpepgen/chemical_linkages.py

hjuinj/cpepgen

965f84148f783bd1d19aec4c9b86841a598d4a9b

[ "MIT" ]

null

cpepgen/chemical_linkages.py

hjuinj/cpepgen

965f84148f783bd1d19aec4c9b86841a598d4a9b

[ "MIT" ]

null

""" This file contains several reactions for RDKIT NOTES: - Check what happens with ASP ASP ester bond formation? need more specifications to do that side targets? - check_reaction_mols, also checking how many of the reaction sites are present in one molecule? - (more specific smart: make_aa_backbone_bond = [N...

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0.013889

0

null

0

null

0

1

0

01a431b7bea5dccade1e08d80166cc10db69bf34

1,105

py

Python

config.py

cclauss/MAX-Object-Detector

4f38f7c1ba65cc39baa4a0f466618b91a65f46a1

[ "Apache-2.0" ]

null

config.py

cclauss/MAX-Object-Detector

4f38f7c1ba65cc39baa4a0f466618b91a65f46a1

[ "Apache-2.0" ]

null

config.py

cclauss/MAX-Object-Detector

4f38f7c1ba65cc39baa4a0f466618b91a65f46a1

[ "Apache-2.0" ]

null

import os # Flask settings DEBUG=True # Flask-restplus settings RESTPLUS_MASK_SWAGGER=False # Application settings # API metadata API_TITLE = 'Model Asset Exchange Server' API_DESC = 'An API for serving models' API_VERSION = '0.1' # default model # name of model to download MODEL_NAME = 'ssd_mobilenet_v1_coco_2017...

29.864865

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1,105

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0.061224

0.056122

0

0.021008

0.138462

1,105

36

98

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0

0.363636

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0.05

0

0.05

0

null

0

null

0

1

0

01a49750a5f79f46de5800bcca67ff60a286ab7c

921

py

Python

check_pharmacist.py

136s/check_pharmacist

02f60355523b5c4890fd314d6d000bfe54226db8

[ "CC0-1.0" ]

null

check_pharmacist.py

136s/check_pharmacist

02f60355523b5c4890fd314d6d000bfe54226db8

[ "CC0-1.0" ]

null

check_pharmacist.py

136s/check_pharmacist

02f60355523b5c4890fd314d6d000bfe54226db8

[ "CC0-1.0" ]

null

import time import pandas as pd from selenium import webdriver SEARCH_URL = "https://licenseif.mhlw.go.jp/search_iyaku/top.jsp" SLEEP_SEC = 3 IN_CSV_NAME = "./list.csv" OUT_CSV_NAME = "./output.csv" # 名前を投げると「登録年」の list が返ってくる def get_years(name) : driver.get(SEARCH_URL) time.sleep(SLEEP_SEC) search_box =...

26.314286

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0.029851

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0.003896

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921

34

82

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0

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0

0.192308

0

null

0

null

0

1

0

01a82caa0086ae5bd27db7ac800143f2aa34c7d3

3,983

py

Python

Lessons/source/search.py

daisukiyo/cs-1.3

e23056c509f429d83cb8be94714205c78a76549f

[ "MIT" ]

null

Lessons/source/search.py

daisukiyo/cs-1.3

e23056c509f429d83cb8be94714205c78a76549f

[ "MIT" ]

2

2019-04-25T00:49:24.000Z

2019-05-15T23:22:36.000Z

Lessons/source/search.py

daisukiyo/cs-1.3

e23056c509f429d83cb8be94714205c78a76549f

[ "MIT" ]

null

#!python def linear_search(array, item): """return the first index of item in array or None if item is not found""" # implement linear_search_iterative and linear_search_recursive below, then # change this to call your implementation to verify it passes all tests # return linear_search_iterative(array,...

37.575472

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3,983

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0.053517

0.06422

0.700688

0.625382

0.535933

0.482416

0.390291

0

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0.277429

3,983

106

100

37.575472

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0

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0.009434

0

1

0.15

false

0

0.425

0

null

0

null

0

1

0

01a966a9092da2d27ed743864a64cbfc07fefe41

2,560

py

Python

tests/generators.py

jlausuch/pcw

df4bf3d071024f894169163e2f0ad756c0c944bd

[ "Apache-2.0" ]

null

tests/generators.py

jlausuch/pcw

df4bf3d071024f894169163e2f0ad756c0c944bd

[ "Apache-2.0" ]

35

2020-11-11T11:14:36.000Z

2022-03-28T17:06:01.000Z

tests/generators.py

jlausuch/pcw

df4bf3d071024f894169163e2f0ad756c0c944bd

[ "Apache-2.0" ]

3

2020-11-12T10:39:07.000Z

2020-12-22T09:51:38.000Z

from faker import Faker from datetime import datetime fake = Faker() min_image_age_hours = 7 max_images_per_flavor = 1 max_image_age_hours = 20 azure_storage_resourcegroup = 'openqa' ec2_max_snapshot_age_days = 1 ec2_max_volumes_age_days = 5 class MockImage: def __init__(self, name, last_modified=None): ...

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2,560

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0

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0.333333

0

null

0

null

0

1

0

01ae25899453c6d21187150fc54bebe1d1afb72a

1,744

py

Python

tests/builders/test_header_builder.py

pershinaM/openapi3-parser

957c86727d6d4119e98a7bc6aa260adc9fa22477

[ "MIT" ]

4

2021-01-12T12:44:20.000Z

2022-03-20T07:38:46.000Z

tests/builders/test_header_builder.py

pershinaM/openapi3-parser

957c86727d6d4119e98a7bc6aa260adc9fa22477

[ "MIT" ]

17

2021-01-08T18:36:34.000Z

2022-02-16T08:21:21.000Z

tests/builders/test_header_builder.py

pershinaM/openapi3-parser

957c86727d6d4119e98a7bc6aa260adc9fa22477

[ "MIT" ]

5

2021-05-27T19:46:49.000Z

2022-03-05T00:14:45.000Z

from unittest.mock import MagicMock import pytest from openapi_parser.builders import HeaderBuilder, SchemaFactory from openapi_parser.enumeration import DataType from openapi_parser.specification import Header, Integer, Schema, String def _get_schema_factory_mock(expected_value: Schema) -> SchemaFactory: mock_...

27.25

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1,744

6.086957

0.322981

0.079592

0.052041

0.061224

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0.325115

1,744

63

91

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0.832625

0

0.153846

0

0.12844

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1

0.038462

false

0

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0

0.153846

0

null

0

null

0

1

0

01ae618867a8af68ce2b3329a0cb4a362b7294f8

808

py

Python

src/model.py

senadkurtisi/Univariate-Time-Series-Forecasting

6eb4bacae6d0fb5708e1b661a6b72cbc3c3d07a6

[ "MIT" ]

null

src/model.py

senadkurtisi/Univariate-Time-Series-Forecasting

6eb4bacae6d0fb5708e1b661a6b72cbc3c3d07a6

[ "MIT" ]

null

src/model.py

senadkurtisi/Univariate-Time-Series-Forecasting

6eb4bacae6d0fb5708e1b661a6b72cbc3c3d07a6

[ "MIT" ]

null

import torch.nn as nn class SeqForecast(nn.Module): def __init__(self, input_dim, hidden_dim, num_layers=2): super().__init__() self.lstm = nn.LSTM(input_dim, hidden_dim, num_layers, batch_first=True) self.fc = nn.Linear(hidden_dim, 1) # Use He(uniform...

31.076923

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0.57797

106

808

4.198113

0.509434

0.060674

0.062921

0.076404

0.116854

0

0.012635

0.314356

808

25

61

32.32

0.790614

0.149752

0

0.014641

0

1

0.125

false

0

0.0625

0

0.3125

0

null

0

null

0

1

0

01af7bcc534be18e709a82c37c35fb57c5674b95

1,025

py

Python

time_tools/countdown2.py

HideKobayashi/python_base

9334b83bcf003978bcfda3dbd35f83fc3a6926aa

[ "MIT" ]

null

time_tools/countdown2.py

HideKobayashi/python_base

9334b83bcf003978bcfda3dbd35f83fc3a6926aa

[ "MIT" ]

null

time_tools/countdown2.py

HideKobayashi/python_base

9334b83bcf003978bcfda3dbd35f83fc3a6926aa

[ "MIT" ]

null

from time import sleep def countdown(when_to_stop: int): while when_to_stop > 0: try: m, s = divmod(when_to_stop, 60) h, m = divmod(m, 60) time_left = str(h).zfill(2) + ":" + str(m).zfill(2) + ":" + str(s).zfill(2) print(time_left, end="\r") sleep...

26.973684

87

0.520976

124

1,025

4.080645

0.443548

0.071146

0.118577

0.075099

0

0.015337

0.363902

1,025

38

88

26.973684

0.760736

0

0.212121

0

0.151072

0

1

0.060606

false

0

0.030303

0

0.090909

0.212121

0

null

0

null

0

1

0

01b034cce020fd91ff4ffe28a880e004894a3959

2,146

py

Python

source/util.py

gilbertHuang/CG-diskusage

be448bb76419b43fb43c790836f9182a7773f8ff

[ "MIT" ]

null

source/util.py

gilbertHuang/CG-diskusage

be448bb76419b43fb43c790836f9182a7773f8ff

[ "MIT" ]

null

source/util.py

gilbertHuang/CG-diskusage

be448bb76419b43fb43c790836f9182a7773f8ff

[ "MIT" ]

null

import os import constant def human_size(number): current_idx = 0 result = float(number) while result > constant.size_diff: if current_idx >= len(constant.size_unit): break result = result / constant.size_diff current_idx += 1 return '{} {}'.format(round(result, con...

35.766667

116

0.651911

286

2,146

4.608392

0.223776

0.048558

0.039454

0.060698

0.256449

0.115326

0

0.008135

0.255359

2,146

59

117

36.372881

0.816646

0

0.043478

0

0.00233

0

1

0.108696

false

0

0.043478

0

0.23913

0

null

0

null

0

1

0

01b0c7510a6ee5fc7d436bfbdd1231f6a49a1e9b

1,639

py

Python

helper/sqlitehelper.py

fidele000/SQLite-Helper

d848197705d0291370cbcc83cc8aadfd2eed884b

[ "MIT" ]

1

2021-08-14T07:41:40.000Z

helper/sqlitehelper.py

fidele000/SQLite-Helper

d848197705d0291370cbcc83cc8aadfd2eed884b

[ "MIT" ]

null

helper/sqlitehelper.py

fidele000/SQLite-Helper

d848197705d0291370cbcc83cc8aadfd2eed884b

[ "MIT" ]

null

import sqlite3 class SQLiteHelper(object): def __init__(self,db_name,): self.db_name = db_name def create_table(self,table_name,columns): name=str(self.db_name) self.conn = sqlite3.connect(name+'.db') self.c=self.conn.cursor() query='(' query+='id INTEG...

29.8

76

0.560098

194

1,639

4.597938

0.298969

0.110987

0.07287

0.063901

0.088565

0

0.003431

0.288591

1,639

55

77

29.8

0.761578

0.035998

0

0.190476

0

0.08941

0

1

0.142857

false

0

0.02381

0

0.261905

0

null

0

null

0

1

0

01b574a3a7d65deeb5fcdead6f4877e21a54e31f

50,116

py

Python

histo_GUI.py

pwilmart/PAW_pipeline

73cf90ac4f316f48131956de3a6d82fdedfd1149

[ "MIT" ]

17

2018-09-06T14:04:27.000Z

2022-03-03T11:13:15.000Z

histo_GUI.py

pwilmart/PAW_pipeline

73cf90ac4f316f48131956de3a6d82fdedfd1149

[ "MIT" ]

3

2019-05-09T10:01:59.000Z

2022-02-28T16:32:59.000Z

histo_GUI.py

pwilmart/PAW_pipeline

73cf90ac4f316f48131956de3a6d82fdedfd1149

[ "MIT" ]

6

2019-03-18T12:35:55.000Z

2022-01-07T13:28:53.000Z

"""histo_GUI.py: Written by Billy Rathje, OHSU, 2014. Also Phil Wilmarth, OHSU. Library of support functions and classes for PAW pipeline programs. The MIT License (MIT) Copyright (c) 2017 Phillip A. Wilmarth and OHSU Permission is hereby granted, free of charge, to any person obtaining a copy of this softw...

49.424063

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0.572412

5,897

50,116

4.826692

0.14075

0.040649

0.023434

0.007378

0.43741

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0.342269

0.308787

0.273548

0.229526

0

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49.472853

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false

0

0.026946

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0.13024

0.007485

0

null

0

null

0

1

0

01b6d2a73e93d2c6c35cc68f44da69c9de7a5da2

851

py

Python

app/email.py

ta4tsering/pyrrha-bo

d5afbe4b37d4d2ad5b5bb4129b1dccaeb50c9b17

[ "MIT" ]

1

2020-08-30T04:36:25.000Z

app/email.py

ta4tsering/pyrrha-bo

d5afbe4b37d4d2ad5b5bb4129b1dccaeb50c9b17

[ "MIT" ]

null

app/email.py

ta4tsering/pyrrha-bo

d5afbe4b37d4d2ad5b5bb4129b1dccaeb50c9b17

[ "MIT" ]

1

2020-08-30T04:33:07.000Z

from flask import render_template from flask_mail import Message from smtplib import SMTPDataError from threading import Thread from app import mail import logging logger = logging.getLogger(__name__) def _async(app, msg): with app.app_context(): try: mail.send(msg) except SMTPData...

26.59375

76

0.673325

104

851

5.355769

0.461538

0.075404

0.050269

0

0.213866

851

31

77

27.451613

0.832586

0

0.049412

0

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0.086957

false

0

0.26087

0

0.347826

0

null

0

null

0

1

0

01b8932f958e37ec8c50e7edf71a0763c83642f8

2,821

py

Python

example/runCtaTrading.py

WongLynn/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

11

2019-10-28T13:01:48.000Z

2021-06-20T03:38:09.000Z

example/runCtaTrading.py

Rayshawn8/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

null

example/runCtaTrading.py

Rayshawn8/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

6

2019-10-28T13:16:13.000Z

2020-09-08T08:03:41.000Z

import multiprocessing import os from time import sleep from datetime import datetime, time from vnpy.event import EventEngine2 from vnpy.trader.vtEvent import EVENT_LOG, EVENT_ERROR from vnpy.trader.vtEngine import MainEngine, LogEngine from vnpy.trader.gateway import okexGateway from vnpy.trader.app import ctaStrate...

25.645455

71

0.561503

293

2,821

5.313993

0.40273

0.038536

0.044958

0.021195

0.106615

0

0.012425

0.286778

2,821

110

72

25.645455

0.761431

0.127969

0

0.138889

0

0.047658

0

1

0.041667

false

0

0.138889

0

0.194444

0.013889

0

null

0

null

0

1

0

01b946264ae1c245632a78a4b8778f16966ec15a

881

py

Python

promesque/lib/exporter_logger.py

croesnick/prometheus_elasticsearch

f7cfc838b5cae5f3cbe2c4df53f3bfa60f0c5373

[ "MIT" ]

1

2019-04-17T20:12:23.000Z

promesque/lib/exporter_logger.py

croesnick/promesque

f7cfc838b5cae5f3cbe2c4df53f3bfa60f0c5373

[ "MIT" ]

null

promesque/lib/exporter_logger.py

croesnick/promesque

f7cfc838b5cae5f3cbe2c4df53f3bfa60f0c5373

[ "MIT" ]

null

import logging import sys LOG_LEVEL_MAP = { 'debug': logging.DEBUG, 'info': logging.INFO, 'warning': logging.WARNING, 'error': logging.ERROR, 'critical': logging.CRITICAL, } class ExporterError(Exception): pass class ExporterLogger(logging.Logger): def __init__(self, name, path=None, l...

23.810811

108

0.664018

99

881

5.69697

0.434343

0.047872

0.039007

0

0.002878

0.211124

881

36

109

24.472222

0.808633

0

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0.346154

0

null

0

null

0

1

0

01ba7e0e7bfae1bd8cee7ccbdab4b4b865b274ba

1,181

py

Python

2_ProcessSRA_hpcc-batch_runcc.py

ShiuLab/RNAseq_pipeline

e5e91fb5a5c257e9df67089bafd55045f6fa5049

[ "MIT" ]

4

2020-03-04T16:51:37.000Z

2021-04-19T15:46:00.000Z

2_ProcessSRA_hpcc-batch_runcc.py

ShiuLab/RNAseq_pipeline

e5e91fb5a5c257e9df67089bafd55045f6fa5049

[ "MIT" ]

null

2_ProcessSRA_hpcc-batch_runcc.py

ShiuLab/RNAseq_pipeline

e5e91fb5a5c257e9df67089bafd55045f6fa5049

[ "MIT" ]

7

2018-06-04T20:58:01.000Z

2021-09-08T00:31:33.000Z

# IMPORT import os,sys # MAIN print(''' inp1 = file with list of SRA files inp2 = bowtie index base (full path) inp3 = SE (0) or PE (1) or paired processed as single (2) inp3 and on: Any additional parameters for ProcessSRA_hpcc2.py These will be appended exactly as they appear ''') files = sys.argv[1] bowtie_ind...

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null

0

null

0

1

0

01bcb1ac1ff2e44f3b34c8c2ddb2306aa7a0a5f8

19,976

py

Python

src/beam/views.py

django-beam/django-beam

cba5874bfef414e65051c2534cf03c772a4da98c

[ "BSD-3-Clause" ]

5

2018-05-27T08:15:06.000Z

2020-11-10T20:38:56.000Z

src/beam/views.py

django-beam/django-beam

cba5874bfef414e65051c2534cf03c772a4da98c

[ "BSD-3-Clause" ]

68

2018-05-26T19:41:57.000Z

2022-01-26T14:46:46.000Z

src/beam/views.py

django-beam/django-beam

cba5874bfef414e65051c2534cf03c772a4da98c

[ "BSD-3-Clause" ]

1

2020-06-24T03:58:47.000Z

from typing import List, Optional, Type from beam.registry import default_registry, register from django.apps import apps from django.contrib import messages from django.contrib.admin.utils import NestedObjects from django.core.exceptions import FieldDoesNotExist, PermissionDenied from django.db import router from dja...

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null

0

null

0

1

0

01bd5639140a6a95c9baa58e324b49f893790914

4,557

py

Python

e3nn/tensor/fourier_tensor.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

e3nn/tensor/fourier_tensor.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

e3nn/tensor/fourier_tensor.py

mister-bailey/e3nn

43d4b12f5ba5947583feb35f4e0662b73aae5618

[ "MIT" ]

null

# pylint: disable=not-callable, no-member, invalid-name, line-too-long, missing-docstring, arguments-differ import numpy as np import torch from e3nn import rs from e3nn.kernel_mod import FrozenKernel from e3nn.tensor.spherical_tensor import projection class FourierTensor: def __init__(self, signal, mul, lmax, p...

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0

null

0

null

0

1

0

01bf2602a5233dc77af2a63254f7948ab7be45bf

1,189

py

Python

utils/validations.py

WycliffeMuchumi/Stream-101-API

9892685c37ff6f3e1e9017bfa5321968a5255c9e

[ "MIT" ]

null

utils/validations.py

WycliffeMuchumi/Stream-101-API

9892685c37ff6f3e1e9017bfa5321968a5255c9e

[ "MIT" ]

1

2021-06-04T09:45:05.000Z

utils/validations.py

muchumi/Stream-101-API

9892685c37ff6f3e1e9017bfa5321968a5255c9e

[ "MIT" ]

1

2021-06-04T09:43:58.000Z

import re from flask import make_response, jsonify """ Validates key-value pairs of request dictionary body. """ def validate_users_key_pair_values(request): keys = ['firstName','lastName','userName','email','phoneNumber','password'] errors = [] for key in keys: if key not in request.json: ...

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0.352941

0

null

0

null

0

1

0

01c21e6d6040d019aab4c4a5d4b11c12c95b4826

3,395

py

Python

agents/guiPlayerAgent.py

Interpause/not-just-gomoku

fc327b2e37f6c0ee8ef4e5e2ee65309c6c9a39be

[ "MIT" ]

1

2018-08-19T14:06:10.000Z

agents/guiPlayerAgent.py

Interpause/not-just-gomoku

fc327b2e37f6c0ee8ef4e5e2ee65309c6c9a39be

[ "MIT" ]

null

agents/guiPlayerAgent.py

Interpause/not-just-gomoku

fc327b2e37f6c0ee8ef4e5e2ee65309c6c9a39be

[ "MIT" ]

null

from tkinter import * from agents.baseAgent import baseAgent class guiPlayerAgent(baseAgent): '''Extends baseAgent to provide a GUI for the player to use to play.''' def __init__(self,*args,**kwargs): super().__init__(*args,**kwargs) #Window initialization self.window = Tk() s...

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0

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0.256757

0

null

0

null

0

1

0

01c28000c41ee4fb2f2523d9f0173a71adcfa81a

1,802

py

Python

airflow/utils/dag_backup_helper.py

harishjami1382/test2

f778cc7290904a84bed06f65fa5dbb49a63639f0

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

null

airflow/utils/dag_backup_helper.py

harishjami1382/test2

f778cc7290904a84bed06f65fa5dbb49a63639f0

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

null

airflow/utils/dag_backup_helper.py

harishjami1382/test2

f778cc7290904a84bed06f65fa5dbb49a63639f0

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

null

import os import subprocess from airflow.exceptions import AirflowException from airflow import configuration as conf def backup_folder_exists(): import commands remote_base_path = conf.get('core', 'REMOTE_BASE_LOG_FOLDER') if not remote_base_path.startswith('s3://'): raise AirflowException("Ther...

36.04

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null

0

null

0

1

0

01c6baf0c32d93767acdfe8d0d19a3e357b410d4

3,223

py

Python

FigureGeneration/makeFigure1.py

federatedcloud/Lake_Problem_DPS

07600c49ed543165ccdc642c1097b3bed87c28f0

[ "BSD-3-Clause" ]

null

FigureGeneration/makeFigure1.py

federatedcloud/Lake_Problem_DPS

07600c49ed543165ccdc642c1097b3bed87c28f0

[ "BSD-3-Clause" ]

3

2018-10-03T21:12:42.000Z

2019-07-08T21:32:43.000Z

FigureGeneration/makeFigure1.py

federatedcloud/Lake_Problem_DPS

07600c49ed543165ccdc642c1097b3bed87c28f0

[ "BSD-3-Clause" ]

2

2020-06-29T17:30:42.000Z

2020-06-30T22:01:49.000Z

import matplotlib.pyplot as plt from scipy.optimize import root import matplotlib import numpy as np def makeFigure1(): def fun(x): return [(x[0]**qq)/(1+x[0]**qq) - bb*x[0]] b = [0.4,0.3,0.2,0.1] q = [2.5,3,3.5,4] x = np.arange(0,2.6,0.1) y = np.zeros(len(x)) ...

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null

0

null

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1

0

01c6c6c8a827d3cf331a524a92625ca459d8fdce

4,882

py

Python

shutdown/start_clouds/gcp_node_scenarios.py

RH-ematysek/svt

3c4f99d453c6956b434f1a90e0658a95f3fda0a4

[ "Apache-2.0" ]

115

2016-07-15T12:24:42.000Z

2022-02-21T20:40:09.000Z

shutdown/start_clouds/gcp_node_scenarios.py

RH-ematysek/svt

3c4f99d453c6956b434f1a90e0658a95f3fda0a4

[ "Apache-2.0" ]

452

2016-05-19T13:55:19.000Z

2022-03-24T11:25:20.000Z

shutdown/start_clouds/gcp_node_scenarios.py

RH-ematysek/svt

3c4f99d453c6956b434f1a90e0658a95f3fda0a4

[ "Apache-2.0" ]

112

2016-05-16T08:48:55.000Z

2022-01-12T13:13:37.000Z

import sys import time from googleapiclient import discovery from oauth2client.client import GoogleCredentials import logging class gcp_node_scenarios(): def __init__(self, project): self.project = project logging.info("project " + str(self.project) + "!") credentials = GoogleCredentials.g...

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null

0

null

0

1

0

01c8616bda4dba690dc0fe4b0df6b2da85332a5b

6,004

py

Python

balanced_treatment_within_subject/__init__.py

UMBEE/modified-otree-snippets

23b5baa28edc04b5a8c8d7607567ef29383b6777

[ "MIT" ]

null

balanced_treatment_within_subject/__init__.py

UMBEE/modified-otree-snippets

23b5baa28edc04b5a8c8d7607567ef29383b6777

[ "MIT" ]

1

2022-02-03T18:27:00.000Z

2022-02-03T20:01:50.000Z

balanced_treatment_within_subject/__init__.py

UMBEE/modified-otree-snippets

23b5baa28edc04b5a8c8d7607567ef29383b6777

[ "MIT" ]

null

from otree.api import * import itertools doc = """ Within-subject design, with three treatment conditions. Orders of the treatment will be balanced as long as the subjects arrive in multiples of 6. """ class C(BaseConstants): NAME_IN_URL = 'balanced_treatment_within_subject' PLAYERS_PER_GROUP = None # On...

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0.027027

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0.027027

0

null

0

null

0

1

0

01cc57f987fa0e55546aee7eb123287a97e6bf0f

2,085

py

Python

math_utils/discretize.py

RaczeQ/naive-bayes-classifier

c8adc960885118a13677e3c5ec4039b976810bee

[ "MIT" ]

null

math_utils/discretize.py

RaczeQ/naive-bayes-classifier

c8adc960885118a13677e3c5ec4039b976810bee

[ "MIT" ]

null

math_utils/discretize.py

RaczeQ/naive-bayes-classifier

c8adc960885118a13677e3c5ec4039b976810bee

[ "MIT" ]

null

import numpy as np from sklearn.cluster import KMeans class DiscretizeParam(object): feature_name = None discretize_function = None buckets_amount = None def __init__(self, feature_name, discretize_function, buckets_amount): self.feature_name = feature_name self.discretize_fu...

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0.431818

0

null

0

null

0

1

0

01cc779657651e4920bdc21cc6224a00f4c92b64

3,652

py

Python

magenta/models/polyamp/instrument_family_mappings.py

Jss7268/magenta

10e0b2c50baaa01a9c942ed3334b5b2cca761bef

[ "Apache-2.0" ]

null

magenta/models/polyamp/instrument_family_mappings.py

Jss7268/magenta

10e0b2c50baaa01a9c942ed3334b5b2cca761bef

[ "Apache-2.0" ]

1

2020-03-01T16:02:10.000Z

magenta/models/polyamp/instrument_family_mappings.py

Jss7268/magenta

10e0b2c50baaa01a9c942ed3334b5b2cca761bef

[ "Apache-2.0" ]

null

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

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75

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0

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0

null

0

null

0

1

0

01cec5edb4d937a0934dcf6391bcc265af95690c

1,123

py

Python

test/group-test.py

Afsio/sd-groupcast

65df8d308280cc2096449a1bc6431eae38c54f5a

[ "MIT" ]

null

test/group-test.py

Afsio/sd-groupcast

65df8d308280cc2096449a1bc6431eae38c54f5a

[ "MIT" ]

null

test/group-test.py

Afsio/sd-groupcast

65df8d308280cc2096449a1bc6431eae38c54f5a

[ "MIT" ]

null

import unittest from project import group_s from project import printer_s from project import member_s from pyactor.context import set_context, create_host, shutdown, sleep class TestGroup(unittest.TestCase): def setUp(self): # Gets executed before every test set_context() self.h = create_...

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36

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0.086957

0

null

0

null

0

1

0

01d2669a411e95e812fc676660fcb5c7124775a0

1,458

py

Python

charlie/Include/filelogger.py

V-Perotto/Projekt-Charlie

da27d28b1194c999d17431aa990706482d7bb1a1

[ "CC0-1.0" ]

1

2021-03-20T02:03:55.000Z

charlie/Include/filelogger.py

V-Perotto/Projekt-Charlie

da27d28b1194c999d17431aa990706482d7bb1a1

[ "CC0-1.0" ]

1

2021-04-06T04:48:01.000Z

charlie/Include/filelogger.py

V-Perotto/Projekt-Charlie

da27d28b1194c999d17431aa990706482d7bb1a1

[ "CC0-1.0" ]

null

from os import getcwd from os.path import isfile from os.path import join from os import listdir from datetime import datetime # Obrigado Fabrício por me mostrar como criar um log em python e por ser um # colega incrível :) def filelog(name, desc): # print("ENTROU") if name == "PY_F": path_way = getc...

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0.275862

0

null

0

null

0

1

0

01d3fee0f84d79a6c7dc8e8254bea86a141e910d

2,631

py

Python

django_project/work_evid/models.py

grumpa/work_evid

4798dc6ffde232981981f40c962a922321fcda3a

[ "BSD-3-Clause" ]

null

django_project/work_evid/models.py

grumpa/work_evid

4798dc6ffde232981981f40c962a922321fcda3a

[ "BSD-3-Clause" ]

1

2015-01-02T07:30:40.000Z

django_project/work_evid/models.py

grumpa/work_evid

4798dc6ffde232981981f40c962a922321fcda3a

[ "BSD-3-Clause" ]

null

# coding: utf-8 from django.utils.translation import ugettext as _ from django.db import models from django.core.urlresolvers import reverse from django.utils import timezone class Firm(models.Model): "Simple firm database." name = models.CharField(max_length=60, verbose_name=_('firm name')) periode = mo...

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0

null

0

null

0

1

0

01d934196d480dae649338a69187b0e002359237

1,638

py

Python

cadence/tests/test_itask.py

simkimsia/temporal-python-sdk

6b35da3eb0d3da87d61c1ce0ff8b33f08e8c3263

[ "MIT" ]

141

2019-05-01T00:19:22.000Z

2022-03-29T13:30:31.000Z

cadence/tests/test_itask.py

simkimsia/temporal-python-sdk

6b35da3eb0d3da87d61c1ce0ff8b33f08e8c3263

[ "MIT" ]

19

2019-08-10T08:19:30.000Z

2021-05-26T01:38:39.000Z

cadence/tests/test_itask.py

simkimsia/temporal-python-sdk

6b35da3eb0d3da87d61c1ce0ff8b33f08e8c3263

[ "MIT" ]

29

2019-05-15T03:44:09.000Z

2022-03-29T21:36:17.000Z

import asyncio from asyncio.events import AbstractEventLoop from unittest import TestCase from unittest.mock import Mock, MagicMock from cadence.decision_loop import ReplayDecider, ITask from cadence.tests.test_decision_context import run_once class TestAwaitTill(TestCase): def setUp(self) -> None: self...

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null

0

1

0

01de93cc01e93ba0250a3e2becff8b0167586038

820

py

Python

utils/decompress_gz_to_json.py

zahidayar/BRON

585b365ec081eae758c7c7e7160ceca3ac9c2f6f

[ "MIT" ]

23

2020-10-02T12:59:19.000Z

2022-03-07T17:53:25.000Z

utils/decompress_gz_to_json.py

zahidayar/BRON

585b365ec081eae758c7c7e7160ceca3ac9c2f6f

[ "MIT" ]

9

2020-09-30T18:47:39.000Z

2022-03-08T17:21:41.000Z

utils/decompress_gz_to_json.py

zahidayar/BRON

585b365ec081eae758c7c7e7160ceca3ac9c2f6f

[ "MIT" ]

11

2020-12-30T19:21:52.000Z

2022-03-25T03:00:42.000Z

import json import gzip import argparse """ Decompresses GZ file to JSON file """ def decompress_gz_to_json(gz_path, save_path): with gzip.open(gz_path, "rt", encoding="utf-8") as f: decompressed = json.load(f) with open(save_path, 'w') as f: f.write(json.dumps(decompressed, indent=4, sort_k...

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null

0

null

0

1

0

01ded03c96a46ab8c9a1fc28b70d091d4b45aa01

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py

Python

tests/tangelo-watch.py

movermeyer/tangelo

470034ee9b3d7a01becc1ce5fddc7adc1d5263ef

[ "Apache-2.0" ]

40

2015-01-09T02:56:33.000Z

2019-03-01T05:34:13.000Z

tests/tangelo-watch.py

movermeyer/tangelo

470034ee9b3d7a01becc1ce5fddc7adc1d5263ef

[ "Apache-2.0" ]

98

2015-01-05T12:51:29.000Z

2019-01-23T20:16:48.000Z

tests/tangelo-watch.py

movermeyer/tangelo

470034ee9b3d7a01becc1ce5fddc7adc1d5263ef

[ "Apache-2.0" ]

21

2015-01-05T19:11:49.000Z

2020-08-19T04:16:16.000Z

import fixture import nose import requests import os import pprint import time def get_times(response): """ Parse a response from a watch script to get the reported times. :param response: the response from a requests.get call. :returns: a dictionary of parsed times. """ times = {} for pa...

31.052083

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0

null

0

null

0

1

0

01e1988dca92df66d159a4de20a9672aa6ee93e3

1,394

py

Python

dfs/path-sum-II.py

windowssocket/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

3

2018-05-29T02:29:40.000Z

2020-02-05T03:28:16.000Z

dfs/path-sum-II.py

xidongc/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

1

2019-03-08T13:22:32.000Z

dfs/path-sum-II.py

xidongc/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

3

2018-05-29T11:50:24.000Z

2018-11-27T12:31:01.000Z

# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def pathSum(self, root, sum): """ :type root: TreeNode :type sum: int :rtype: bool """ ...

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0

null

0

null

0

1

0

01e1c6dfef1b13a42336acc4b9cb04fd28520995

4,405

py

Python

train.py

matt-quant-heads-io/pcgil2

acb32c5766fca5be580f4aa56b1b7c660c39048d

[ "MIT" ]

null

train.py

matt-quant-heads-io/pcgil2

acb32c5766fca5be580f4aa56b1b7c660c39048d

[ "MIT" ]

null

train.py

matt-quant-heads-io/pcgil2

acb32c5766fca5be580f4aa56b1b7c660c39048d

[ "MIT" ]

null

#pip install tensorflow==1.15 #Install stable-baselines as described in the documentation import sys import model from model import FullyConvPolicyBigMap, FullyConvPolicySmallMap, CustomPolicyBigMap, CustomPolicySmallMap from utils import get_exp_name, max_exp_idx, load_model, make_vec_envs from stable_baselines impor...

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null

0

null

0

1

0

01e37e55485ff713b5ef926c51471d0b3aa60ce8

5,752

py

Python

run_scripts/lfd_upper_bound_exp_script.py

yifan-you-37/rl_swiss

8b0ee7caa5c1fa93860916004cf4fd970667764f

[ "MIT" ]

56

2019-10-20T03:09:02.000Z

2022-03-25T09:21:40.000Z

run_scripts/lfd_upper_bound_exp_script.py

yifan-you-37/rl_swiss

8b0ee7caa5c1fa93860916004cf4fd970667764f

[ "MIT" ]

3

2020-10-01T07:33:51.000Z

2021-05-12T03:40:57.000Z

run_scripts/lfd_upper_bound_exp_script.py

yifan-you-37/rl_swiss

8b0ee7caa5c1fa93860916004cf4fd970667764f

[ "MIT" ]

10

2019-11-04T16:56:09.000Z

2022-03-25T09:21:41.000Z

import numpy as np import torch from torch import nn from torch.autograd import Variable from copy import deepcopy from gym.spaces import Dict from rllab.misc.instrument import VariantGenerator import rlkit.torch.pytorch_util as ptu from rlkit.envs.wrappers import NormalizedBoxEnv from rlkit.launchers.launcher_util i...

34.035503

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0.031915

0

null

0

null

0

1

0

01e3a685fc855932c7cffb03a56fb066ee005d8b

2,535

py

Python

tldap/helpers.py

Karaage-Cluster/python-tldap-debian

9d3d7a28df61d9cf97c0c0f62a5eea9d5767c213

[ "BSD-3-Clause" ]

null

tldap/helpers.py

Karaage-Cluster/python-tldap-debian

9d3d7a28df61d9cf97c0c0f62a5eea9d5767c213

[ "BSD-3-Clause" ]

null

tldap/helpers.py

Karaage-Cluster/python-tldap-debian

9d3d7a28df61d9cf97c0c0f62a5eea9d5767c213

[ "BSD-3-Clause" ]

null

# Copyright 2012-2014 Brian May # # This file is part of python-tldap. # # python-tldap is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version....

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null

0

null

0

1

0

01e4a93d122c374bc7b77d38adfb718aea0aeaed

899

py

Python

vmraid/patches/v5_0/bookmarks_to_stars.py

sowrisurya/vmraid

f833e00978019dad87af80b41279c0146c063ed5

[ "MIT" ]

null

vmraid/patches/v5_0/bookmarks_to_stars.py

sowrisurya/vmraid

f833e00978019dad87af80b41279c0146c063ed5

[ "MIT" ]

null

vmraid/patches/v5_0/bookmarks_to_stars.py

sowrisurya/vmraid

f833e00978019dad87af80b41279c0146c063ed5

[ "MIT" ]

null

from __future__ import unicode_literals import json import vmraid import vmraid.defaults from vmraid.desk.like import _toggle_like from six import string_types def execute(): for user in vmraid.get_all("User"): username = user["name"] bookmarks = vmraid.db.get_default("_bookmarks", username) if not bookmarks: ...

26.441176

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5.169492

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0.036066

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0.001357

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899

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71

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0.067853

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false

0

0.222222

0

0.259259

0

null

0

null

0

1

0

01e4d64999a4e0f305613c36fd0071cb9705dd30

4,061

py

Python

data_create.py

Primtee/triplet-loss-train-for-speaker-recognition

8d0f405eddbbb129bd7bf60565390cdaca0a8aa8

[ "MIT" ]

13

2019-04-01T02:38:59.000Z

2022-03-02T20:18:13.000Z

data_create.py

Primtee/triplet-loss-train-for-speaker-recognition

8d0f405eddbbb129bd7bf60565390cdaca0a8aa8

[ "MIT" ]

1

2019-07-22T02:33:57.000Z

data_create.py

Primtee/triplet-loss-train-for-speaker-recognition

8d0f405eddbbb129bd7bf60565390cdaca0a8aa8

[ "MIT" ]

8

2019-04-02T01:49:19.000Z

2021-04-23T09:22:20.000Z

# coding=utf-8 __author__ = 'NXG' import os, wave import contextlib import collections from math import ceil from dataprovider.create.data_management import mik_dir saved_original_voice_path = '/data/validation_clip/' def read_wave(path): with contextlib.closing(wave.open(path, 'rb')) as wf: """ ...

35.008621

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0

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4,061

115

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0.064103

0

null

0

null

0

1

0

01ee6ced64104669ebecf6c3325e44ad9e03b6ac

5,344

py

Python

saving.py

pabilbado/IVanalyzer

4ebb5333508906328c9b7df5311ea0616ba9344f

[ "MIT" ]

null

saving.py

pabilbado/IVanalyzer

4ebb5333508906328c9b7df5311ea0616ba9344f

[ "MIT" ]

null

saving.py

pabilbado/IVanalyzer

4ebb5333508906328c9b7df5311ea0616ba9344f

[ "MIT" ]

null

import pandas as pd import matplotlib.pyplot as plt import os import time intro= """\ \\documentclass[a4paper]{article} %% Language and font encodings \\usepackage[english]{babel} \\usepackage[utf8x]{inputenc} \\usepackage[T1]{fontenc} %% Sets page size and margins \\usepackage[a4paper,top=3cm,bottom=2cm,left=3cm,...

35.865772

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0.096999

0

0.014755

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5,344

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0

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0

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0

1

0.032258

false

0

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0.064516

0

null

0

null

0

1

0

01f0b340264833a77f844be5ad80f6b639b8a21f

1,896

py

Python

connect4_driver.py

YeungJonathan/ConnectFourGame

a9fc8c063a6484fb9a5cbfea788b9db6c99bc43a

[ "MIT" ]

null

connect4_driver.py

YeungJonathan/ConnectFourGame

a9fc8c063a6484fb9a5cbfea788b9db6c99bc43a

[ "MIT" ]

null

connect4_driver.py

YeungJonathan/ConnectFourGame

a9fc8c063a6484fb9a5cbfea788b9db6c99bc43a

[ "MIT" ]

2

2018-10-18T20:55:29.000Z

2019-05-05T22:20:08.000Z

from connect4_board import Board from connect4_board import Player import random class Driver: def __init__(self): playerOne = input('Input Player 1 name: ') playerTwo = input('Input Player 2 name: ') self.p1 = Player(1,'X', playerOne) self.p2 = Player(2,'O', playerTwo) self.board = Board() def prompt(s...

24.947368

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1,896

4.862205

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0.051012

0.036437

0.037247

0.030769

0

0.023873

0.204641

1,896

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63

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0.795093

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0

0.067797

0

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0

1

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false

0

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0

0.254237

0.20339

0

null

0

null

0

1

0

01f46813c24eb72d17e7473237ce843aed94ffa2

13,244

py

Python

main.py

fab-jul/ppfin

f3e51583d42590eceb6d3920a351f8f2639792c1

[ "MIT" ]

null

main.py

fab-jul/ppfin

f3e51583d42590eceb6d3920a351f8f2639792c1

[ "MIT" ]

null

main.py

fab-jul/ppfin

f3e51583d42590eceb6d3920a351f8f2639792c1

[ "MIT" ]

null

import logging logger = logging.getLogger() logger.setLevel(logging.DEBUG) fh = logging.FileHandler('otp.log') fh.setLevel(logging.DEBUG) logger.addHandler(fh) import argparse import urwid import data_controller import symbol_values _BACKGROUND = urwid.SolidFill(u'\N{MEDIUM SHADE}') _BASE_CURRENCY = 'CHF' _main...

30.168565

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13,244

4.828154

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0.028398

0.032185

0.018932

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0.274391

0.190963

0.140098

0.121166

0

0.00227

0.234899

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false

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0.172414

0

null

0

null

0

1

0

01f72bd21f2a381c2c81de43a8ad15b68badbae6

4,917

py

Python

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/module_utils/cloudscale.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/module_utils/cloudscale.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/module_utils/cloudscale.py

tr3ck3r/linklight

5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # (c) 2017, Gaudenz Steinlin <gaudenz.steinlin@cloudscale.ch> # Simplified BSD License (see licenses/simplified_bsd.txt or https://opensource.org/licenses/BSD-2-Clause) from __future__ import absolute_import, division, print_function __metaclass__ = type from copy import deepcopy from ansibl...

36.969925

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4,917

4.563055

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0.021409

0.028026

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0.27551

0.010204

0

null

0

null

0

1

0

01fa9fa16e7ec6eb680b54dc81280b527fab92e8

751

py

Python

lesson-2/task2.py

GintoGloss/GeekUniversity-Python

b30da872bd5c68905ab66485ca06bdf3008b3995

[ "Unlicense" ]

null

lesson-2/task2.py

GintoGloss/GeekUniversity-Python

b30da872bd5c68905ab66485ca06bdf3008b3995

[ "Unlicense" ]

null

lesson-2/task2.py

GintoGloss/GeekUniversity-Python

b30da872bd5c68905ab66485ca06bdf3008b3995

[ "Unlicense" ]

null

# 2. Для списка реализовать обмен значений соседних элементов, т.е. Значениями обмениваются элементы с индексами 0 и # 1, 2 и 3 и т.д. При нечетном количестве элементов последний сохранить на своем месте. Для заполнения списка # элементов необходимо использовать функцию input(). my_list = [] list_len = input("Сколько ...

39.526316

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751

4.411765

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0

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751

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0

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1

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false

0

0.166667

0

null

0

null

0

1

0

01fde946914f4c6f922ba5d95ad8427ac784b8c5

1,759

py

Python

omniinsight/objs.py

omnibuildplatform/omni-insight

8a83ac5742a41c07c7ee3f442c2e104b026aa484

[ "MulanPSL-1.0" ]

null

omniinsight/objs.py

omnibuildplatform/omni-insight

8a83ac5742a41c07c7ee3f442c2e104b026aa484

[ "MulanPSL-1.0" ]

null

omniinsight/objs.py

omnibuildplatform/omni-insight

8a83ac5742a41c07c7ee3f442c2e104b026aa484

[ "MulanPSL-1.0" ]

null

import os import yaml class ProjectData: def __init__(self, name, sig): self.name = name self.sig = sig class RpmData: def __init__(self, name): self.name = name self.id = '' self.short_name = '' self.arch = '' self.group = '' self.description ...

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180

1,759

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0.080447

0.053631

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0

0.351904

1,759

67

68

26.253731

0.785088

0

0.196429

0

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0

1

0.107143

false

0

0.035714

0

0.232143

0

null

0

null

0

1

0

01fe3b13e6d2f50b47795caf8363733e1ca35753

812

py

Python

main/coin-change/coin-change-cache.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

main/coin-change/coin-change-cache.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

main/coin-change/coin-change-cache.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

#!/usr/bin/env python3 import functools def count_ways(coins, total): length = len(coins) @functools.lru_cache(maxsize=None) def _solve(index, subtot): value = coins[index] return sum(solve(index + 1, next_subtot) for next_subtot in range(subtot, -1, -value)) def ...

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0.038462

0

null

0

null

0

1

0

01fe4da65b5536a35e63367696f21e9c251539ba

4,686

py

Python

WebCrawler/WebCrawler.py

chenyz2000/MiniProjects

33182e6b98190cd72aed228ab6c4b64a8ea4ebdb

[ "MIT" ]

null

WebCrawler/WebCrawler.py

chenyz2000/MiniProjects

33182e6b98190cd72aed228ab6c4b64a8ea4ebdb

[ "MIT" ]

null

WebCrawler/WebCrawler.py

chenyz2000/MiniProjects

33182e6b98190cd72aed228ab6c4b64a8ea4ebdb

[ "MIT" ]

null

import math import random import time import re from queue import Queue import urllib.request import urllib.error import jieba from bs4 import BeautifulSoup urlSet = set() urlList = [] doc = 0 que = Queue() user_agents = [ 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835....

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0

null

0

null

0

1

0

01ff0fb86e36d267d898975db026d9e74086232c

7,398

py

Python

dags/dop/airflow_module/operator/dbt_k8_operator.py

bytecodeio/google_data_services_template

08b64972e9899971d5c4f892480aa0c067b53c3b

[ "MIT" ]

63

2021-03-30T12:09:40.000Z

2022-03-04T14:30:11.000Z

dags/dop/airflow_module/operator/dbt_k8_operator.py

bytecodeio/google_data_services_template

08b64972e9899971d5c4f892480aa0c067b53c3b

[ "MIT" ]

null

dags/dop/airflow_module/operator/dbt_k8_operator.py

bytecodeio/google_data_services_template

08b64972e9899971d5c4f892480aa0c067b53c3b

[ "MIT" ]

8

2021-03-30T12:15:55.000Z

2021-08-22T14:25:30.000Z

import logging import os from typing import List, Dict from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator from airflow.sensors.base_sensor_operator import apply_defaults from dop.component.configuration.env import env_config from dop.airflow_module.operator import dbt_operator_helper ...

36.264706

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0

null

0

null

0

1

0

01ff66c7fe5c77fb55b20587a4618914f352a1af

3,471

py

Python

birthday.py

jordanvtskier12/Birthday-quiz

8eb6cfda35ae9e7b3a0b2b7fe9d12d851e778d53

[ "MIT" ]

null

birthday.py

jordanvtskier12/Birthday-quiz

8eb6cfda35ae9e7b3a0b2b7fe9d12d851e778d53

[ "MIT" ]

null

birthday.py

jordanvtskier12/Birthday-quiz

8eb6cfda35ae9e7b3a0b2b7fe9d12d851e778d53

[ "MIT" ]

null

""" birthday.py Author: Jordan Credit: none Assignment: Your program will ask the user the following questions, in this order: 1. Their name. 2. The name of the month they were born in (e.g. "September"). 3. The year they were born in (e.g. "1962"). 4. The day they were born on (e.g. "11"). If the user's birthday fe...

33.057143

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0.071856

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0.102652

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0.590676

0.469204

0.389222

0.355004

0

0.041862

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3,471

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false

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0

0.04

0.36

0

null

0

null

0

1

0

bf00295358fe63143dc1908bc85278216ed3616f

5,093

py

Python

models/dyn_model.py

zhouxian/GNS-PyTorch

c2401e11cfaee06c2108369dc55e15d8a2b52a7c

[ "MIT" ]

1

2022-03-24T14:15:11.000Z

models/dyn_model.py

zhouxian/GNS-PyTorch

c2401e11cfaee06c2108369dc55e15d8a2b52a7c

[ "MIT" ]

null

models/dyn_model.py

zhouxian/GNS-PyTorch

c2401e11cfaee06c2108369dc55e15d8a2b52a7c

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from config import _C as C from models.layers.GNN_dmwater import GraphNet from scipy import spatial import numpy as np import utils class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.node_dim_in = C.NET.NODE...

36.378571

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0.130861

0

0.009744

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5,093

140

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0.785913

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false

0

0.07619

0

0.152381

0

null

0

null

0

1

0

bf02ba4cab7446a1e4a8e195ce66a394e9365faf

1,224

py

Python

reuse_model_layer.py

MorvanZhou/Tensorflow2-Tutorial

871c627786d557f04db2dc5334da664a314d85f7

[ "Apache-2.0" ]

193

2019-10-22T07:15:34.000Z

2022-03-30T12:45:55.000Z

reuse_model_layer.py

LAJsisyphean/Tensorflow2-Tutorial

871c627786d557f04db2dc5334da664a314d85f7

[ "Apache-2.0" ]

null

reuse_model_layer.py

LAJsisyphean/Tensorflow2-Tutorial

871c627786d557f04db2dc5334da664a314d85f7

[ "Apache-2.0" ]

51

2019-11-06T12:52:41.000Z

2022-03-30T07:31:45.000Z

from tensorflow import keras import numpy as np data_x = np.random.normal(size=[1000, 1]) noise = np.random.normal(size=[1000, 1]) * 0.2 data_y = data_x * 3. + 2. + noise train_x, train_y = data_x[:900], data_y[:900] test_x, test_y = data_x[900:], data_y[900:] # define your reusable layers in here l1 = keras.layers...

28.465116

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1,224

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0.055486

0.045397

0.148802

0.100883

0.042875

0

0.065025

0.170752

1,224

43

90

28.465116

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0

0.025316

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false

0

0.068966

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0.206897

0.068966

0

null

0

null

0

1

0

bf0473077d1f391cb46585a278833cc7fc757836

1,932

py

Python

usage/python/tools/source/globus/usage/cwscorev2packet.py

jtfrey/globus-toolkit

ee55e99c6d6a6dd2dbd4246c0537e0b083069a5d

[ "Apache-2.0" ]

44

2015-02-04T22:01:05.000Z

2021-01-27T21:18:47.000Z

usage/python/tools/source/globus/usage/cwscorev2packet.py

jtfrey/globus-toolkit

ee55e99c6d6a6dd2dbd4246c0537e0b083069a5d

[ "Apache-2.0" ]

69

2015-04-07T16:07:26.000Z

2020-06-17T20:00:34.000Z

usage/python/tools/source/globus/usage/cwscorev2packet.py

ellert/globus-toolkit

14761278bf048b0d9bd3d46ab4c3c987b968f2d3

[ "Apache-2.0" ]

51

2015-04-07T14:29:47.000Z

2021-09-23T08:44:18.000Z

# Copyright 1999-2009 University of Chicago # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed t...

32.745763

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0.628882

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1,932

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0.012584

0.013423

0.126678

0.120805

0

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1,932

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79

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0.544513

0

0.047619

0.412467

0

1

0.047619

false

0

0.047619

0

0.238095

0

null

0

null

0

1

0

bf06d9a54893683667a74e4a18de2351b9f5889b

1,101

py

Python

looker_prometheus_exporter/tests/test_metric_fetcher.py

nested-tech/looker-prometheus-exporter

7352ea9ea6e5aab7049b39882c7b3832baafc18b

[ "MIT" ]

null

looker_prometheus_exporter/tests/test_metric_fetcher.py

nested-tech/looker-prometheus-exporter

7352ea9ea6e5aab7049b39882c7b3832baafc18b

[ "MIT" ]

null

looker_prometheus_exporter/tests/test_metric_fetcher.py

nested-tech/looker-prometheus-exporter

7352ea9ea6e5aab7049b39882c7b3832baafc18b

[ "MIT" ]

null

from unittest import TestCase from unittest.mock import patch, MagicMock from requests import Response from looker_prometheus_exporter.looker_metric_fetcher import LookerMetricFetcher from looker_prometheus_exporter.looker_auth import LookerAuthenticationError class TestMetricFetcher(TestCase): @patch("requests....

39.321429

114

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1,101

6.290323

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0.092308

0.115385

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0

0.005482

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0

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0.047619

false

0

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0

0.333333

0

null

0

null

0

1

0

bf07234d71c7b574935a5582101336be79944027

5,801

py

Python

src/baseline/exnn/exnn/xnn.py

fau-is/gam_comparison

c47e8f8ced281e0a71b7959a211cb5b289ac7606

[ "MIT" ]

1

2022-03-24T11:26:56.000Z

src/baseline/exnn/exnn/xnn.py

fau-is/gam_comparison

c47e8f8ced281e0a71b7959a211cb5b289ac7606

[ "MIT" ]

null

src/baseline/exnn/exnn/xnn.py

fau-is/gam_comparison

c47e8f8ced281e0a71b7959a211cb5b289ac7606

[ "MIT" ]

null

import tensorflow as tf from .base import BaseNet class xNN(BaseNet): """ Explainable neural network (xNN). xNN is based on the Explainable neural network (Joel et al. 2018) with the following implementation details: 1. Categorical variables should be first converted by one-hot encoding, and we dire...

44.282443

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0.666264

757

5,801

4.924703

0.326288

0.052307

0.037554

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0.111052

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0

0.025605

0.259438

5,801

130

198

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0

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false

0

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null

0

null

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0