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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a7b849290f7861eab83199145c1d9c325f1b35b8 | 1,230 | py | Python | src/onegov/election_day/views/manage/cache.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/views/manage/cache.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/views/manage/cache.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from morepath import redirect
from onegov.core.security import Secret
from onegov.election_day import _
from onegov.election_day import ElectionDayApp
from onegov.election_day.forms import EmptyForm
from onegov.election_day.layouts import DefaultLayout
from onegov.election_day.models import Principal
@ElectionDayApp.... | 30 | 76 | 0.673171 |
0227bf126889ca284b860e8149fc6b0d85145869 | 3,557 | py | Python | netease/form_data.py | FelixLukk/netease_music_cat | 97f4487e74e09661a1dd46b7b00c01845311436b | [
"MIT"
] | 2 | 2020-02-20T18:05:45.000Z | 2020-02-22T06:40:52.000Z | netease/form_data.py | FelixLukk/netease_music_cat | 97f4487e74e09661a1dd46b7b00c01845311436b | [
"MIT"
] | 1 | 2021-06-01T23:45:58.000Z | 2021-06-01T23:45:58.000Z | data_acquire_store/netease/form_data.py | PatrickNgZh/RecommenderSystem | 0dbd3ac05ca8c1b5948a2605f1a9407f1ec59d39 | [
"Apache-2.0"
] | 1 | 2020-03-17T09:17:18.000Z | 2020-03-17T09:17:18.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# author: humingk
# ----------------------
import hashlib
from binascii import b2a_hex
import config
import base64
from Crypto.Cipher import AES
from my_tools.logger_tool import loggler_tool
logger = loggler_tool()
class form_data:
"""
AES加密请求参数类
利用fidd... | 31.758929 | 120 | 0.580264 |
025ba3253ae75088f3197a7cbb348cca3e722146 | 5,885 | py | Python | WebHostLib/autolauncher.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | null | null | null | WebHostLib/autolauncher.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 5 | 2020-01-18T21:10:46.000Z | 2020-01-25T20:58:19.000Z | WebHostLib/autolauncher.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 2 | 2020-01-18T17:36:50.000Z | 2020-01-22T16:52:08.000Z | from __future__ import annotations
import logging
import multiprocessing
from datetime import timedelta, datetime
import concurrent.futures
import sys
import typing
import time
from pony.orm import db_session, select, commit
from Utils import restricted_loads
class CommonLocker():
"""Uses a file lock to signal t... | 33.821839 | 119 | 0.57842 |
5a32f05025f974ad6e024526afc7349526ed96fb | 3,942 | py | Python | web/controllers/api/Member.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | 1 | 2020-03-24T04:26:34.000Z | 2020-03-24T04:26:34.000Z | web/controllers/api/Member.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | web/controllers/api/Member.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from web.controllers.api import route_api
from flask import request, jsonify, g
from application import app, db
import requests, json
from common.models.member.Member import Member
from common.models.member.OauthMemberBind import OauthMemberBind
from common.models.food.WxShareHistory import WxSh... | 32.578512 | 85 | 0.638508 |
0ca8b0b32cd09564e690e01a8726571f382328c5 | 935 | py | Python | SoSe-21/Uebung-7/A2-Produktionsliste.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | SoSe-21/Uebung-7/A2-Produktionsliste.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | SoSe-21/Uebung-7/A2-Produktionsliste.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Initialisierung der stueckliste
stueckliste = []
def teilhinzufuegen(bestandteil):
stueckliste.append(bestandteil)
def trenner(anzahl):
for i in range(anzahl):
print("*", end="")
print()
trenner(125)
print("Programm zur Erfassung der Stückliste für das SpaceX Starship")
korrekte_eingabe = False... | 29.21875 | 84 | 0.670588 |
0bc988f1396ac1838176dcf803864433c73a22ab | 1,156 | py | Python | research/cv/ssd_resnet34/src/config.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/ssd_resnet34/src/config.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/ssd_resnet34/src/config.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 34 | 86 | 0.679066 |
f08ab13b13adafa2685c3743243a66ebd007fec6 | 2,090 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex04_palindrome_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex04_palindrome_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex04_palindrome_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import pytest
from ch04_strings.solutions.ex04_palindrome import is_palindrome_rec, is_palindrome_special, is_palindrome, \
is_palindrome_with_reverse, is_palindrome_special_with_reg_ex
def palindrome_inputs_and_expecteds():
... | 35.423729 | 109 | 0.679426 |
f09caa2bbf63eb57249c3fb418461a53251fb2c5 | 9,451 | py | Python | indl/model/tfp/devae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | 1 | 2021-02-22T01:39:50.000Z | 2021-02-22T01:39:50.000Z | indl/model/tfp/devae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | indl/model/tfp/devae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | import numpy as np
import tensorflow as tf
import tensorflow.keras.layers as tfkl
from tensorflow.keras import backend as K
import tensorflow_probability as tfp
from indl.model.tfp import LearnableMultivariateNormalDiagCell, LearnableMultivariateNormalDiag
tfd = tfp.distributions
tfpl = tfp.layers
tfb = tfp.bijectors
s... | 41.818584 | 108 | 0.642789 |
4a163ae1135a7594307b5a8d3fa3c8d961198b4c | 520 | py | Python | Python/Exercícios_Python/034_maior_e_menor_valor.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/034_maior_e_menor_valor.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | Python/Exercícios_Python/034_maior_e_menor_valor.py | vdonoladev/aprendendo-programacao | 83abbcd6701b2105903b28fd549738863418cfb8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""034 - Maior e menor valor
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1tR5I-76SVFX8tPZ8l2JrakHqZregyIRU
"""
primeiro = int(input('Digite o primeiro número: '))
segundo = int(input('Digite o segundo número: '))
terceiro = ... | 34.666667 | 77 | 0.725 |
c5bb67860009b8004c58ed01e73affa8a5febd09 | 1,234 | py | Python | pages/report.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | pages/report.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | pages/report.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import smtplib
from datetime import datetime
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def sendReportEmail(subject, message):
mailContent = message
#The mail addresses and password
senderAddress = 'gso.nguyenkhai@gmail.com'
senderPass ... | 33.351351 | 90 | 0.679903 |
c5d5029e4a966999dc654088343b8dc6c1d7248c | 4,533 | py | Python | research/cv/StackedHourglass/src/dataset/MPIIDataLoader.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/StackedHourglass/src/dataset/MPIIDataLoader.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/StackedHourglass/src/dataset/MPIIDataLoader.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 27.640244 | 113 | 0.550408 |
76940c2065767f57e9656df7e5810fb0e51193a1 | 3,161 | py | Python | get_data.py | gshikhri/nse-fund-analysis | c9a51047aad8772148c8b8a5b8c94fe3a3b78901 | [
"MIT"
] | null | null | null | get_data.py | gshikhri/nse-fund-analysis | c9a51047aad8772148c8b8a5b8c94fe3a3b78901 | [
"MIT"
] | null | null | null | get_data.py | gshikhri/nse-fund-analysis | c9a51047aad8772148c8b8a5b8c94fe3a3b78901 | [
"MIT"
] | null | null | null | import pandas as pd
import json
import requests
import datetime as dt
import yfinance as yf
import numpy as np
def get_fund_nav_df(mf_dict, start_date, end_date):
fund_nav_df = pd.DataFrame()
for fund_name in mf_dict.keys():
api_url = mf_dict[fund_name]
response = requests.get(api_url)
... | 40.012658 | 104 | 0.687757 |
8c2a75c7429eb3eaee25bcbc428a10a22bc9bc8d | 1,002 | py | Python | project/flaskr/tests/test_templates.py | Hackathon2020/CoronaHackathon2020 | 1f27ad7406c9da50a3acfb48f970a0b0b51c47da | [
"MIT"
] | 5 | 2020-03-21T12:58:10.000Z | 2020-03-23T13:02:18.000Z | project/flaskr/tests/test_templates.py | Hackathon2020/CoronaHackathon2020 | 1f27ad7406c9da50a3acfb48f970a0b0b51c47da | [
"MIT"
] | 26 | 2020-03-20T21:04:20.000Z | 2020-04-30T19:38:02.000Z | project/flaskr/tests/test_templates.py | Hackathon2020/CoronaHackathon2020 | 1f27ad7406c9da50a3acfb48f970a0b0b51c47da | [
"MIT"
] | 1 | 2020-05-08T20:45:20.000Z | 2020-05-08T20:45:20.000Z | import unittest
import pathlib
import json
from jinja2 import Template
from project.questionaire import Question, Questionaire
from project.questions_from_json import read
class Jinja2TemplatesTest(unittest.TestCase):
def test_get_result_questionair(self):
path_context = pathlib.Path(pathlib.Path(__file_... | 45.545455 | 129 | 0.714571 |
4ff6f824af5bed84b5b519bac2f8d0d12ef9ed88 | 7,028 | py | Python | model_zoo/ernie-health/preprocess.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | model_zoo/ernie-health/preprocess.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | model_zoo/ernie-health/preprocess.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 32.238532 | 80 | 0.591064 |
e86461578a5060bed992ce37a20090fe4fafd288 | 2,824 | py | Python | s-mbf-master/src/Delmsg.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 50 | 2019-03-07T16:33:01.000Z | 2022-01-05T11:13:47.000Z | s-mbf-master/src/Delmsg.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 3 | 2019-03-11T08:26:38.000Z | 2019-08-08T17:39:42.000Z | s-mbf-master/src/Delmsg.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 38 | 2019-03-28T16:03:38.000Z | 2021-04-01T10:40:26.000Z | #Python 3.7.X
#Author: KANG-NEWBIE ©2019
#Special thanks to LOoLzeC (Deray)
import requests,time,os,click,sys
from bs4 import BeautifulSoup as BS
from getpass import getpass
from multiprocessing.pool import ThreadPool
from src import Genkuki
class Del:
def __init__(self):
self.rl=[]
self.req=request... | 32.45977 | 258 | 0.60517 |
0f1c4238b844a79936145b2477b8553b5d05117b | 1,620 | py | Python | CodeChef_problems/Laddu Accural System/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 165 | 2020-10-03T08:01:11.000Z | 2022-03-31T02:42:08.000Z | CodeChef_problems/Laddu Accural System/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 383 | 2020-10-03T07:39:11.000Z | 2021-11-20T07:06:35.000Z | CodeChef_problems/Laddu Accural System/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 380 | 2020-10-03T08:05:04.000Z | 2022-03-19T06:56:59.000Z | # Sample Input:
# 2
# 4 INDIAN
# CONTEST_WON 1
# TOP_CONTRIBUTOR
# BUG_FOUND 100
# CONTEST_HOSTED
# 4 NON_INDIAN
# CONTEST_WON 1
# TOP_CONTRIBUTOR
# BUG_FOUND 100
# CONTEST_HOSTED
# Sample Output:
# 3
# 1
# Explanation
# In the first example,
# For winning contest with rank 1, user gets 300 + 20 - 1 = 319 laddus.
# F... | 33.061224 | 316 | 0.627778 |
bc2885e2c4096e369f35a3ce27c18ce8b7cb5829 | 3,275 | py | Python | V46 Faraday/plots/plot.py | Ninilini/FP-Bachelor | 0ca4d45efb211278793d1667731b09d35cfc94aa | [
"MIT"
] | 1 | 2019-11-27T07:01:08.000Z | 2019-11-27T07:01:08.000Z | V46 Faraday/plots/plot.py | Ninilini/FP-Bachelor | 0ca4d45efb211278793d1667731b09d35cfc94aa | [
"MIT"
] | null | null | null | V46 Faraday/plots/plot.py | Ninilini/FP-Bachelor | 0ca4d45efb211278793d1667731b09d35cfc94aa | [
"MIT"
] | 1 | 2022-02-20T09:24:16.000Z | 2022-02-20T09:24:16.000Z | # coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import uncertainties.unumpy as unp
from uncertainties import ufloat
z, B = np.genfromtxt('data/B.txt', unpack=True)
l, th1, th2, th3 = np.genfromtxt('data/GaAs.txt', unpack=True)
d1 = 0.00511
d2 = 0.00136
d3 = 0.0012... | 32.107843 | 94 | 0.583817 |
3873424b140875cf1465e3d7ca047411d8cd7237 | 528 | py | Python | exercises/fr/test_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/test_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/test_03_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert "len(doc)" in __solution__, "Obtiens-tu la longueur du doc ?"
assert "return doc" in __solution__, "Retournes-tu le doc ?"
assert "nlp.add_pipe" in __solution__, "As-tu ajouté le composant ?"
assert (
"first=True" in __solution__
), "As-tu ajouté le composant en premier da... | 48 | 104 | 0.689394 |
2ab94cd69dffd043347d3da56a04c5dfb5e5541a | 3,783 | py | Python | test/test_npu/test_network_ops/test_layer_norm_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_layer_norm_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_layer_norm_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 40.244681 | 105 | 0.642347 |
2d4f34b2d9a50bbb22fbaac3a831bcd2a2317382 | 561 | py | Python | PINp/2015/DENISENKO_A_N/task_6_27.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2015/DENISENKO_A_N/task_6_27.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PINp/2015/DENISENKO_A_N/task_6_27.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 6. Вариант 27.
# Создайте игру, в которой компьютер загадывает имя одного из двух братьев,
#создателей старославянской азбуки, а игрок должен его угадать
# Denisenko A. N.
# 02.06.2016
import random
avtori = ("Кирилл", "Мефодий")
zagadka = random.choice(avtori)
predpologenie = input("Программа загадала одно... | 29.526316 | 106 | 0.750446 |
4f01f58691e75a2020a675f412947f00fa8a96ae | 442 | py | Python | frappe-bench/apps/erpnext/erpnext/buying/doctype/supplier/supplier_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/buying/doctype/supplier/supplier_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/buying/doctype/supplier/supplier_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | from frappe import _
def get_data():
return {
'heatmap': True,
'heatmap_message': _('This is based on transactions against this Supplier. See timeline below for details'),
'fieldname': 'supplier',
'transactions': [
{
'label': _('Procurement'),
'items': ['Request for Quotation', 'Supplier Quotation'... | 24.555556 | 110 | 0.628959 |
35541747d092f87edc477422d225cec9dfe91ce8 | 3,528 | py | Python | verto/processors/ScratchTreeprocessor.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 4 | 2017-04-10T06:09:54.000Z | 2019-05-04T02:07:40.000Z | verto/processors/ScratchTreeprocessor.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 268 | 2017-04-03T20:40:46.000Z | 2022-02-04T20:10:08.000Z | verto/processors/ScratchTreeprocessor.py | uccser/kordac | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 1 | 2019-01-07T15:46:31.000Z | 2019-01-07T15:46:31.000Z | from markdown.treeprocessors import Treeprocessor
from verto.processors.utils import etree
from verto.utils.HtmlParser import HtmlParser
from verto.utils.HtmlSerializer import HtmlSerializer
from collections import namedtuple
import re
class ScratchImageMetaData(namedtuple('ScratchImageMetaData', 'hash, text')):
... | 36.75 | 98 | 0.602324 |
35be88e2b9de3f5352d44deeb0aba03df26d414a | 6,265 | py | Python | kicker_pong/HumanKeeper_Model.py | GeorgJohn/kicker_pong_git | 2263737cab1f74f324772855028f8a4c3b23c4de | [
"MIT"
] | null | null | null | kicker_pong/HumanKeeper_Model.py | GeorgJohn/kicker_pong_git | 2263737cab1f74f324772855028f8a4c3b23c4de | [
"MIT"
] | null | null | null | kicker_pong/HumanKeeper_Model.py | GeorgJohn/kicker_pong_git | 2263737cab1f74f324772855028f8a4c3b23c4de | [
"MIT"
] | null | null | null | from kicker_pong.GameBar_Model import GameBar
from kicker_pong.Constant import *
class HumanKeeper(GameBar):
"""Konstanten"""
NUMBER_OF_FIGURES = 1
DISTANCE_FIGURES = 0
# MAX_POS_KEEPER = 242
POSITION_ON_BAR = FIGURE_HEIGHT / 2
ABS_X_POSITION = COURT_WIDTH - X_POSITION_KEEPER
X_REFLECTION_... | 56.441441 | 116 | 0.577654 |
ea8cb6a6b25a76bc0266e769ac12e5bf3df7824d | 19 | py | Python | src/utils/__init__.py | Yoann-Renard/Dimension-Y-DesktopApp | f2c6d4834338e88fb536cdd57d9c95e07079aed1 | [
"MIT"
] | null | null | null | src/utils/__init__.py | Yoann-Renard/Dimension-Y-DesktopApp | f2c6d4834338e88fb536cdd57d9c95e07079aed1 | [
"MIT"
] | null | null | null | src/utils/__init__.py | Yoann-Renard/Dimension-Y-DesktopApp | f2c6d4834338e88fb536cdd57d9c95e07079aed1 | [
"MIT"
] | null | null | null | # utils module init | 19 | 19 | 0.789474 |
f49cbe2a6df3739edb628ab72d97801be6278938 | 834 | py | Python | fixture/application.py | AlexStroke/OKB | b4b25c2912a7fd735218323d980aa2b60eaa46e2 | [
"Apache-2.0"
] | null | null | null | fixture/application.py | AlexStroke/OKB | b4b25c2912a7fd735218323d980aa2b60eaa46e2 | [
"Apache-2.0"
] | null | null | null | fixture/application.py | AlexStroke/OKB | b4b25c2912a7fd735218323d980aa2b60eaa46e2 | [
"Apache-2.0"
] | null | null | null | from selenium import webdriver
from fixture.session import SessionHelper
from fixture.profile import ProfileHelper
class Application:
def __init__(self):
self.driver = webdriver.Chrome("/Users/User/Downloads/chromedriver")
self.driver.implicitly_wait(1)
self.session = SessionHelper(self)... | 26.0625 | 76 | 0.642686 |
3376c710f1f240a1898d6d2b8f7c02a6ea0232b6 | 1,510 | py | Python | quant/api/binance_validation.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/api/binance_validation.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/api/binance_validation.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | #!/usr/bin/env python
# coding=utf-8
from .binance_exceptions import BinanceOrderUnknownSymbolException, \
BinanceOrderInactiveSymbolException, \
BinanceOrderMinPriceException, \
BinanceOrderMinAmountException, \
BinanceOrderMinTotalException
"""
Use details from
https://www.binance.com/exchange/publi... | 27.454545 | 79 | 0.710596 |
d56225166695b77fba722f65a752cb80d2bcb7ed | 292 | py | Python | rndIpsErzeugen.py | haenno/FOM-BSc-WI-Semster3-Skriptsprachen-Python | bb34b6b1ba7e8fe7b22ce598a80d5011122c2d4a | [
"MIT"
] | null | null | null | rndIpsErzeugen.py | haenno/FOM-BSc-WI-Semster3-Skriptsprachen-Python | bb34b6b1ba7e8fe7b22ce598a80d5011122c2d4a | [
"MIT"
] | null | null | null | rndIpsErzeugen.py | haenno/FOM-BSc-WI-Semster3-Skriptsprachen-Python | bb34b6b1ba7e8fe7b22ce598a80d5011122c2d4a | [
"MIT"
] | null | null | null | import random
def rndIP():
min = 0
max = 255
seperator = '.'
return str(str(int(random.uniform(min,max)))+seperator+str(int(random.uniform(min,max)))+seperator+str(int(random.uniform(min,max)))+seperator+str(int(random.uniform(min,max))))
while True:
print (rndIP())
| 22.461538 | 181 | 0.664384 |
638b9f17cee94a04acd7e9ec7821b665870dc01e | 1,682 | py | Python | research/cv/dem/src/kNN.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/dem/src/kNN.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/dem/src/kNN.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 37.377778 | 78 | 0.651011 |
f6de5ac60268caa69dcde83565fe1b2d2ece52a5 | 1,599 | py | Python | src/visitpy/visit_flow/flow/tests/test_filters_cmd.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/visitpy/visit_flow/flow/tests/test_filters_cmd.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/visitpy/visit_flow/flow/tests/test_filters_cmd.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
file: test_filters_cmd.py
author: Cyrus Harrison <cyrush@llnl.gov>
created: 3/24/2012
descr... | 29.611111 | 73 | 0.641651 |
1231613b95f9103f17fd17b9dd572c0dfafd3696 | 237 | py | Python | ProjectEuler/#20_FactorialDigitSum_sol1.py | Tudor67/Competitive-Programming | ae4dc6ed8bf76451775bf4f740c16394913f3ff1 | [
"MIT"
] | 1 | 2022-01-26T14:50:07.000Z | 2022-01-26T14:50:07.000Z | ProjectEuler/#20_FactorialDigitSum_sol1.py | Tudor67/Competitive-Programming | ae4dc6ed8bf76451775bf4f740c16394913f3ff1 | [
"MIT"
] | null | null | null | ProjectEuler/#20_FactorialDigitSum_sol1.py | Tudor67/Competitive-Programming | ae4dc6ed8bf76451775bf4f740c16394913f3ff1 | [
"MIT"
] | null | null | null | def factorial(n):
p = 1
for i in range(2, n + 1):
p *= i
return p
N = 100
N_FACTORIAL = factorial(N)
digits = [int(digit) for digit in str(N_FACTORIAL)]
digits_sum = sum(digits)
# 648
print(digits_sum) | 16.928571 | 52 | 0.582278 |
c3f5cf0eefde0b8761cb56421dbbae611ff4eb5e | 8,319 | py | Python | Packs/QRadar/Scripts/QRadarCreateAQLQuery/QRadarCreateAQLQuery_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/QRadar/Scripts/QRadarCreateAQLQuery/QRadarCreateAQLQuery_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/QRadar/Scripts/QRadarCreateAQLQuery/QRadarCreateAQLQuery_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
from CommonServerPython import *
from QRadarCreateAQLQuery import *
class TestFieldsSection:
def test_sanity(self):
assert fields_section(['field'], ['value']) == "(field = 'value')"
def test_with_space(self):
assert fields_section(['field name'], ['value']) == "('field name' = ... | 37.642534 | 116 | 0.630484 |
7f015e990e9ed916d4127e344c4aa7d7b3f02353 | 64 | py | Python | testpatchs/start.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | testpatchs/start.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | testpatchs/start.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
from scrapy.cmdline import execute
execute()
| 12.8 | 34 | 0.765625 |
7f0eab18b7da90a6ca9d87fa18fe1deaba0131e1 | 6,769 | py | Python | 20-fs-ias-lec/groups/11-sensUI/sensui/NodeConfigTab.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-fs-ias-lec/groups/11-sensUI/sensui/NodeConfigTab.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-fs-ias-lec/groups/11-sensUI/sensui/NodeConfigTab.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import os
# PyQt5
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import QLabel, QLineEdit, QDoubleSpinBox, QCheckBox, QComboBox, QPushButton
from PyQt5.QtWidgets import QListWidget, QListWidgetItem, QAbstractItemView, QHBoxLayout, QFrame, QGridLayout
from PyQt5.QtCore import QVariant, Qt
from PyQt5 import ui... | 32.233333 | 112 | 0.649431 |
b49f029824b8fb13bc78a8e82d504f0873d0565b | 1,186 | py | Python | Machine Learning/machine_learning_serializing_example.py | pe-aga/misc | fc59ae5c11685b7444a199fea349b0bee17eb4d6 | [
"MIT"
] | null | null | null | Machine Learning/machine_learning_serializing_example.py | pe-aga/misc | fc59ae5c11685b7444a199fea349b0bee17eb4d6 | [
"MIT"
] | null | null | null | Machine Learning/machine_learning_serializing_example.py | pe-aga/misc | fc59ae5c11685b7444a199fea349b0bee17eb4d6 | [
"MIT"
] | null | null | null | '''A sample application showing how can we (de)serialize ML models to/from the disk.'''
from sklearn.neural_network import MLPClassifier
import pickle
SERIALIZED_FILE_PATH = "/Users/neo/Documents/workspace/serialized_model"
def generate_and_train_model():
'''Generate and train a MPLClassifier model with dummy data.... | 32.944444 | 87 | 0.709106 |
37066bc38cd50cb834eb7748a71cf3b65073b562 | 79 | py | Python | Python/mycode.py | travis-deshotels/LambdaStartup | e059f8612f49cbc1826a9ebac72c808f8bbc484d | [
"MIT"
] | null | null | null | Python/mycode.py | travis-deshotels/LambdaStartup | e059f8612f49cbc1826a9ebac72c808f8bbc484d | [
"MIT"
] | null | null | null | Python/mycode.py | travis-deshotels/LambdaStartup | e059f8612f49cbc1826a9ebac72c808f8bbc484d | [
"MIT"
] | null | null | null | import requests
def main(event, context):
return {"message": "hi there!"}
| 15.8 | 35 | 0.670886 |
3715b03199b8ffa1812a6b5b6384be50f31a2909 | 1,406 | py | Python | ___Python/Marco/PythonProj/p03_lambda/m06_anwendung.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Marco/PythonProj/p03_lambda/m06_anwendung.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Marco/PythonProj/p03_lambda/m06_anwendung.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | from datetime import date
from p01 import meinebib
from p01.meinebib import alter
torsten = ["Torsten", "Aachen", date(1967, 1, 1), ["C"]]
michael = ["Michael", "Moormerland", date(1981, 10, 1), ["Javascript"]]
karpoo = ["Karpoo", "Düsseldorf", date(1969, 1, 1), ["ABAP"]]
carsten = ["Carsten", "Aachen", date(... | 26.528302 | 110 | 0.634424 |
2590b04d598263f32eebfa38d0c18a560ad37367 | 2,195 | py | Python | ciaoutil/kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | ciaoutil/kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | ciaoutil/kazoeciao.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | """
かぞえチャオ ユーティリティ
"""
import subprocess
from time import sleep
import pathlib
from .kazoeciao_config import config as kazoeciao_config
from .util.singleton import Singleton
class kazoeciao(Singleton):
def __init__(self):
self._config = None
self._result_dir_files = {}
self._result_file = None
def init(self, ... | 23.105263 | 77 | 0.722551 |
9fb040bff328e2a4538c01c784a1cd694ac81450 | 2,560 | py | Python | challenge17/exp-challenge17-advanced.py | dobin/yookiterm-challenges-files | 81daab38d83bdc083bd9a66e90eea1397c5e30ed | [
"MIT"
] | 17 | 2017-05-03T22:00:30.000Z | 2021-12-07T10:15:41.000Z | challenge/17/src/exp-challenge17-advanced.py | roo7vijos1/exploit-courses | a13c95726d330081ca4db77aa8391dcd4c6fcb00 | [
"MIT"
] | 2 | 2017-06-16T02:09:05.000Z | 2018-03-01T08:58:24.000Z | challenge/17/src/exp-challenge17-advanced.py | roo7vijos1/exploit-courses | a13c95726d330081ca4db77aa8391dcd4c6fcb00 | [
"MIT"
] | 11 | 2017-05-04T13:04:21.000Z | 2020-12-15T23:00:02.000Z | #!/usr/bin/python
import struct
from pwn import *
e = ELF("./challenge17")
tube = connect("localhost", 5002)
# offset to SIP
offset = 152
# writeable data addr
sh_addr = 0x602100
# gadgets
# 0x0000000000400c91: pop rax; ret;
pop_rax = 0x0000000000400c91
# 0x0000000000400eb3: pop rdi; ret;
pop_rdi = 0x00000000... | 19.24812 | 66 | 0.65625 |
2c790b02fbf1d04ce70fb63505c8674721f508f4 | 8,516 | py | Python | run/train.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | run/train.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | run/train.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
from torch.utils.data.dataset import random_split
import torch.utils.data.distributed
import torch.utils.data.dataset
import torchvision
from torchvision.transforms import transforms
import torchvision.transforms.functio... | 33.660079 | 126 | 0.587248 |
2c94ebae521fe491a6bdc6267c3b3240715d7ea8 | 7,498 | py | Python | verto/tests/HtmlParserTest.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 4 | 2017-04-10T06:09:54.000Z | 2019-05-04T02:07:40.000Z | verto/tests/HtmlParserTest.py | uccser/verto | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 268 | 2017-04-03T20:40:46.000Z | 2022-02-04T20:10:08.000Z | verto/tests/HtmlParserTest.py | uccser/kordac | d36aa88b208f1700fafc033679bd1e9775496d25 | [
"MIT"
] | 1 | 2019-01-07T15:46:31.000Z | 2019-01-07T15:46:31.000Z | from verto.tests.BaseTest import BaseTest
from verto.utils.HtmlParser import HtmlParser
from verto.utils.HtmlSerializer import HtmlSerializer
from verto.errors.HtmlParseError import HtmlParseError
from markdown.util import etree
class HtmlParserTest(BaseTest):
'''Tests that the HtmlParser and HtmlSerializer can b... | 35.704762 | 87 | 0.646572 |
1aadf544d3f1443b088c34b5b12cce7f8085229f | 4,026 | py | Python | Liquid-agent/test.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | 2 | 2021-08-30T14:12:09.000Z | 2022-01-20T02:14:22.000Z | Liquid-agent/test.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | Liquid-agent/test.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | import subprocess
import docker
def run():
client = docker.from_env()
try:
print(client.containers.run(image="alpine", command="pwd", environment={"KEY": "value"}))
except Exception as e:
print(e.__class__.__name__, e)
def run_in_background():
client = docker.from_env()
container = client.con... | 25.006211 | 97 | 0.652509 |
b3812505a0a1b0c799349bcc84cff07871eb92b6 | 19,721 | py | Python | testpatchs/testdeeps.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | testpatchs/testdeeps.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | testpatchs/testdeeps.py | zhuweiDark/fangzi | 2011dff33d40b43889b5784e509b876380ab3ed3 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import urllib
import urllib2
import re
import requests
from lxml import etree
#from bs4 import BeautifulSoup
import chardet
import xlwt
#from xlwt import *
import sys
import os
import traceback
reload(sys)
sys.setdefaultencoding( "utf-8" )
import requests
imageDir = "/Use... | 40.914938 | 141 | 0.564322 |
375124b4539d23015bcae39aa8fd0668caf40010 | 6,986 | py | Python | hrsdb/db/models.py | sirboldilox/hrsdb | 1f8373081e4cceb77892581fb5a3fe1f53bf984d | [
"MIT"
] | null | null | null | hrsdb/db/models.py | sirboldilox/hrsdb | 1f8373081e4cceb77892581fb5a3fe1f53bf984d | [
"MIT"
] | null | null | null | hrsdb/db/models.py | sirboldilox/hrsdb | 1f8373081e4cceb77892581fb5a3fe1f53bf984d | [
"MIT"
] | null | null | null | """
Database implementation
"""
import pickle
from sqlalchemy import BLOB, Column, DateTime, Float, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy.orm.exc import NoResultFound
Base = declarative_base()
class Patient(Base):
... | 30.77533 | 81 | 0.611795 |
20ba1e268273e4a80e997bb464e200bf719bc957 | 5,357 | py | Python | isj_proj06.py | SnasiCze/ISJ | 2284cb0d53aad5dd0bfc6230224700628be9e454 | [
"MIT"
] | null | null | null | isj_proj06.py | SnasiCze/ISJ | 2284cb0d53aad5dd0bfc6230224700628be9e454 | [
"MIT"
] | null | null | null | isj_proj06.py | SnasiCze/ISJ | 2284cb0d53aad5dd0bfc6230224700628be9e454 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# DEKLARACE ZÁSTUPNÝCH PROMNĚNÝCH
NULA=0
JEDNA=1
DVA=2
TRI=3
CTYRI=4
# Konec deklarace
# import knihoven
import copy
import itertools
# konec importu
def first_nonrepeating(text):
''' Funkce vrací první písmeno které se v řetězci neopakuje '''
tmp = {} #Deklarace dict
if type(text) == st... | 56.989362 | 154 | 0.640844 |
20ce69e7633298be78d0c764d98371ce8c20ecd2 | 341 | py | Python | frappe-bench/apps/erpnext/erpnext/hr/doctype/employee_loan/employee_loan_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/employee_loan/employee_loan_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/employee_loan/employee_loan_dashboard.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | from frappe import _
def get_data():
return {
'fieldname': 'employee',
'non_standard_fieldnames': {
'Journal Entry': 'reference_name',
},
'transactions': [
{
'label': _('Employee'),
'items': ['Employee Loan Application', 'Salary Slip']
},
{
'label': _('Account'),
'items': ['Journa... | 17.947368 | 57 | 0.568915 |
45e4bb2de5e351cae8d6b44d158269e4109d6e93 | 1,975 | py | Python | tools/datasets_convert/dataset_count_classFrequency.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | tools/datasets_convert/dataset_count_classFrequency.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | tools/datasets_convert/dataset_count_classFrequency.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@description:
@author: LiuXin
@contact: xinliu1996@163.com
@Created on: 2020/11/12 下午7:07
"""
import numpy as np
from PIL import Image
import os
import matplotlib.pyplot as plt
import cv2
from dataloader.skmt import SkmtDataSet
dataset_root = '../../data/SKMT/Seg'
images_path = os.path.join... | 30.859375 | 113 | 0.640506 |
b313c1b0c8597e4a4ee2321751a62030a27c722c | 1,987 | py | Python | official/nlp/pangu_alpha/serving_increment/flask/client.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/pangu_alpha/serving_increment/flask/client.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/pangu_alpha/serving_increment/flask/client.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 29.656716 | 109 | 0.64469 |
b34a5753451c24afeddcfa5c6393d6a2d03f91af | 477 | py | Python | Python-BlueEdTech-main/projeto-exemplo/relogio.py | Gitdu-edu/TrabalhoFinalBlue | 9152264b79b3dfdf01253706e437ee7713f6c3e7 | [
"MIT"
] | 3 | 2021-05-30T20:01:06.000Z | 2021-07-07T00:46:37.000Z | Python-BlueEdTech-main/projeto-exemplo/relogio.py | Gitdu-edu/TrabalhoFinalBlue | 9152264b79b3dfdf01253706e437ee7713f6c3e7 | [
"MIT"
] | null | null | null | Python-BlueEdTech-main/projeto-exemplo/relogio.py | Gitdu-edu/TrabalhoFinalBlue | 9152264b79b3dfdf01253706e437ee7713f6c3e7 | [
"MIT"
] | null | null | null | class Relogio:
def __init__(self):
self.horas = 6
self.minutos = 0
def __str__(self): # Pesquisar significado dessa função especifica.
return f"{self.horas:02d}:{self.minutos:02d}"
def avancaTempo(self, minutos):
self.minutos += minutos
while(self.minutos >= 60):
... | 28.058824 | 73 | 0.584906 |
2fb2e32ecc6d8cc080c75f6e6bc647af427048d4 | 299 | py | Python | rasa/shared/exceptions.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | null | null | null | rasa/shared/exceptions.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 46 | 2020-09-26T11:36:38.000Z | 2022-03-01T13:38:02.000Z | rasa/shared/exceptions.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | null | null | null | class RasaException(Exception):
"""Base exception class for all errors raised by Rasa."""
class RasaCoreException(RasaException):
"""Basic exception for errors raised by Rasa Core."""
class RasaXTermsError(RasaException):
"""Error in case the user didn't accept the Rasa X terms."""
| 27.181818 | 64 | 0.729097 |
6442096f2bc69b95c18fe4ae76d148754043ef9a | 1,072 | py | Python | geol/geometry/grid.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 8 | 2018-03-09T16:44:38.000Z | 2021-04-07T11:33:30.000Z | geol/geometry/grid.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 4 | 2020-03-24T15:34:54.000Z | 2021-06-01T21:54:33.000Z | geol/geometry/grid.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 1 | 2020-05-13T14:30:55.000Z | 2020-05-13T14:30:55.000Z | """
File description
"""
# Authors: Gianni Barlacchi <gianni.barlacchi@gmail.com>
import geopandas as gpd
from geol.utils import constants, utils
import six
import abc
import os
@six.add_metaclass(abc.ABCMeta)
class Grid:
def __init__(self, grid=None):
self._grid = grid
@classmethod
def from_fi... | 26.146341 | 77 | 0.642724 |
ff2cfb7fed92baaed3ef382ee1a5c9ba4c7c6e08 | 1,973 | py | Python | sys/2/common.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | sys/2/common.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | sys/2/common.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import os.path
def is_non_zero_file(fpath):
return os.path.isfile(fpath) and os.path.getsize(fpath) > 0
def jsloifex(filename, default={}): # JSON load if exists
return json.load(open(filename, encoding='utf-8')) if is_non_zero_file(filename) else ... | 34.614035 | 98 | 0.563102 |
2b96b2332654dccb01c845b9bba4abe7d64a2900 | 240 | py | Python | Crashkurs Python/09_List Slicing.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | 2 | 2020-03-23T14:57:50.000Z | 2021-03-24T18:12:07.000Z | Crashkurs Python/09_List Slicing.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | Crashkurs Python/09_List Slicing.py | slogslog/Coding-Kurzgeschichten | 9b08237038147c6c348d4cf4c69567178e07dd1d | [
"Unlicense"
] | null | null | null | # 0 1 2 3 4 5 6 Index von vorne
a = [3, 5, -2, 8, 12, 0, -1]
# -7 -6 -5 -4 -3 -2 -1 Index von hinten
print(a[2])
print(a[-5])
b = a[2:5]
print(b)
c = a[:5]
print(c)
print(a[3:])
d = a[-5:-2]
print(d)
print(a[-4:]) | 12.631579 | 46 | 0.445833 |
2ba63b621ed5b00df6bf2626fbf4bca75b34874e | 728 | py | Python | SHELL/2021/crypto/Vuln-AES/encrypt.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | SHELL/2021/crypto/Vuln-AES/encrypt.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | SHELL/2021/crypto/Vuln-AES/encrypt.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import base64
from Crypto.Cipher import AES
secret_code = "<flag>"
def pad(message):
if len(message) % 16 != 0:
message = message + '0'*(16 - len(message)%16 ) #block-size = 16
return message
def encrypt(key, plain):
cipher = AES.new( key, AES.MODE_ECB )
return ciph... | 28 | 152 | 0.686813 |
a6ef7aa32273bf60855b1ce91c8703c4c830ce88 | 80 | py | Python | Curso-Em-Video-Python/2Exercicios/047_Contagem_de_pares.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/047_Contagem_de_pares.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/047_Contagem_de_pares.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | for contador in range(2, 50+1, 2):
print(contador, end=' ')
print('fim') | 26.666667 | 34 | 0.5875 |
752bdbecc4f419dad8707acec8c454791b269c67 | 389 | py | Python | simple-redis-queue-demo/publisher/publisher.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-07-05T03:42:17.000Z | 2019-07-05T03:42:17.000Z | simple-redis-queue-demo/publisher/publisher.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | null | null | null | simple-redis-queue-demo/publisher/publisher.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-06-24T05:56:55.000Z | 2019-06-24T05:56:55.000Z | import redis
class Publisher(object):
def __init__(self, host, port=6379, auth=None):
self.__r = redis.Redis(host=host, port=port, password=auth)
def publish(self, list_name):
while True:
s = input("input: ")
self.__r.rpush(list_name, s)
if __name__ == '__main__':
... | 21.611111 | 67 | 0.609254 |
45e81dbc26448c915ff37976d09d10d796d91fa5 | 193 | py | Python | 10.3.py | RonaldZhao/NowCoder | 935af39835a98efc14157e20df1e3458e02b9803 | [
"MIT"
] | null | null | null | 10.3.py | RonaldZhao/NowCoder | 935af39835a98efc14157e20df1e3458e02b9803 | [
"MIT"
] | null | null | null | 10.3.py | RonaldZhao/NowCoder | 935af39835a98efc14157e20df1e3458e02b9803 | [
"MIT"
] | null | null | null | class Ants:
def collision(self, n):
def gcd(a, b):
return gcd(b, a % b) if a % b else b
x = gcd(2 ** n - 2, 2 ** n)
return [(2 ** n - 2) / x, 2 ** n / x] | 32.166667 | 48 | 0.398964 |
1b582a8c4efadfd65439fe5fa83682922c2e6e3d | 2,092 | py | Python | src/onegov/feriennet/views/attendee.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/views/attendee.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/views/attendee.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.activity import Attendee, BookingCollection
from onegov.core.security import Personal
from onegov.feriennet import FeriennetApp, _
from onegov.feriennet.forms import AttendeeForm, AttendeeLimitForm
from onegov.feriennet.layout import BookingCollectionLayout
from onegov.org.elements import Link
@FeriennetA... | 27.893333 | 72 | 0.697419 |
1bbc710d61e3ad58ba8d79ac82ff66e9b3207701 | 890 | py | Python | data/citiesdb.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | data/citiesdb.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | data/citiesdb.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | import csv
from types import SimpleNamespace
class CitiesDB:
def __init__(self, cache):
cities_csv = cache.resolve_entry("cities.csv", CitiesDB.download_cities)
with open(cities_csv) as f:
reader = csv.reader(f)
next(reader, None) # Skip CSV header
self.cities... | 31.785714 | 118 | 0.620225 |
946b23e95ae382e6d9797d844f8f711f7e41e290 | 164 | py | Python | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/pve/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/pve/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/pve/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | import numpy as np
from gym.spaces import Discrete, Box
action_space = Discrete(8)
observation_space = Box(-np.inf, np.inf, shape=(240, 320, 1), dtype=np.float32)
| 27.333333 | 79 | 0.743902 |
ca2646aca8c076ad25fbbbc3e818dd2d451217b7 | 2,574 | py | Python | PythonPro/demo/operator.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | PythonPro/demo/operator.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | 68 | 2020-09-05T04:22:49.000Z | 2022-03-25T18:47:08.000Z | PythonPro/demo/operator.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | #coding=utf-8
#运算符
a = 10
b = 20
list = [1, 2, 3, 4, 5 ];
if ( a in list ):
print "1 - 变量 a 在给定的列表中 list 中"
else:
print "1 - 变量 a 不在给定的列表中 list 中"
if ( b not in list ):
print "2 - 变量 b 不在给定的列表中 list 中"
else:
print "2 - 变量 b 在给定的列表中 list 中"
# 修改变量 a 的值
a = 2
if ( a in list ):
print "3 - 变量 a 在给定的列表中 l... | 14.793103 | 49 | 0.412199 |
ca631c224f65e80cd35325358d80c178f42588e3 | 6,094 | py | Python | Mongols/movies.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | Mongols/movies.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | Mongols/movies.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | """
Team Mongols: Anish Shenoy and Khyber Sen
SoftDev2 pd07
K05 -- Import/Export Bank
2018-02-25
Name of Dataset: American movies scraped from Wikipedia
Description: A List of American Movies scraped from the popular online encyclopedia known as Wikipedia
Download: https://raw.githubusercontent.com/prust/wikipedia-mov... | 27.084444 | 102 | 0.559403 |
ca8fbbe68848d8d5240d22b14f252e1a777599af | 9,437 | py | Python | Packs/VirusTotal/Integrations/FeedLivehunt/FeedLivehunt_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/VirusTotal/Integrations/FeedLivehunt/FeedLivehunt_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/VirusTotal/Integrations/FeedLivehunt/FeedLivehunt_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import demistomock as demisto
from FeedLivehunt import Client, fetch_indicators_command, get_indicators_command, main
from unittest.mock import call
MOCK_VT_RESPONSE = {
"data": [
{
"attributes": {
"type_description": "Win32 EXE",
"tlsh": "T155069E15A6D82B64E7F35... | 37.153543 | 128 | 0.491788 |
0472ffe4bae8d158bb8383f1af34a08ca56bccc8 | 19 | py | Python | comp/zenefits/skype/ZeroApproachingGrid.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | comp/zenefits/skype/ZeroApproachingGrid.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | comp/zenefits/skype/ZeroApproachingGrid.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | def maxcost(grid):
| 9.5 | 18 | 0.736842 |
047461ee4a4a7ee30186f60e2867675d56814ea2 | 665 | py | Python | connect_bq.py | raiever/abtest | ff14f20ad23d2a0710e95d23e3d1124a44298a62 | [
"Apache-2.0"
] | null | null | null | connect_bq.py | raiever/abtest | ff14f20ad23d2a0710e95d23e3d1124a44298a62 | [
"Apache-2.0"
] | null | null | null | connect_bq.py | raiever/abtest | ff14f20ad23d2a0710e95d23e3d1124a44298a62 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from google.cloud import bigquery
from db_utils import connet_mysql
from sqlalchemy import create_engine
client = bigquery.Client(project=)
engine = create_engine("mysql+mysqldb://root:"+"password"+"@localhost/abtest", encoding='utf-8')
conn = engine.connect()
sql = """
SELECT
*
FROM `.abtest.jo... | 26.6 | 96 | 0.76391 |
6d5a33c1af66581eadb530a5bea760021bd328b6 | 244 | py | Python | NeuralNet/Alex/evaluate.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | 6 | 2017-04-12T14:05:19.000Z | 2021-01-29T11:23:50.000Z | NeuralNet/Alex/evaluate.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | NeuralNet/Alex/evaluate.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | from modelpipe import pipe
datapipe = pipe.Pipe(data_path = "../../images/Dataset_1", train_size=0.6)
datapipe.load_data(flatten=0, print_out=1)
for i in range(10):
result = datapipe.eval(model_name = "models/model_0"+str(i), batch_size = 100) | 48.8 | 79 | 0.741803 |
1e6e8b1199099445221eaba9479a9fb1c4b0cb70 | 8,919 | py | Python | paddlenlp/taskflow/models/dependency_parsing_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/models/dependency_parsing_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | paddlenlp/taskflow/models/dependency_parsing_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 34.569767 | 91 | 0.561946 |
1ebc068b5744caa9b8266c26c2a09da6e37f0187 | 1,304 | py | Python | cbm/foi/__init__.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 17 | 2021-01-18T07:27:01.000Z | 2022-03-10T12:26:21.000Z | cbm/foi/__init__.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 4 | 2021-04-29T11:20:44.000Z | 2021-12-06T10:19:17.000Z | cbm/foi/__init__.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 47 | 2021-01-21T08:25:22.000Z | 2022-03-21T14:28:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Gilbert Voican, Konstantinos Anastasakis
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import os
def v1(*args):
os.makedirs(... | 31.804878 | 77 | 0.661043 |
94ce6e778bfe4977634e59c967dce9f4d9afa0fb | 299 | py | Python | rfvision/components/__init__.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 6 | 2021-09-25T03:53:06.000Z | 2022-02-19T03:25:11.000Z | rfvision/components/__init__.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 1 | 2021-07-21T13:14:54.000Z | 2021-07-21T13:14:54.000Z | rfvision/components/__init__.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 2 | 2021-07-16T03:25:04.000Z | 2021-11-22T06:04:01.000Z | from .backbones import * # noqa: F401,F403
from .dense_heads import * # noqa: F401,F403
from .losses import * # noqa: F401,F403
from .losses_pose import *
from .necks import * # noqa: F401,F403
from .roi_heads import * # noqa: F401,F403
from .fusion_layers import *
from .keypoint_head import * | 37.375 | 45 | 0.725753 |
44f5b2ba26efaa5ff76518024a2e98b859f60388 | 271 | py | Python | utest/curve2_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | utest/curve2_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | utest/curve2_test.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | import unittest
import zencad
import numpy
import math
class Curve2(unittest.TestCase):
def setUp(self):
zencad.lazy.encache = False
zencad.lazy.decache = False
zencad.lazy.fastdo = True
def test_api(self):
print("TODO Curve2")
| 18.066667 | 35 | 0.664207 |
44fe4756a72559a9c5a2610b3df22eed62f0f90a | 835 | py | Python | utils/compute_cost.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 1,329 | 2021-01-13T07:06:30.000Z | 2022-03-31T07:23:39.000Z | utils/compute_cost.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 115 | 2021-01-13T10:42:57.000Z | 2022-03-28T03:57:52.000Z | utils/compute_cost.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 351 | 2021-01-13T07:21:00.000Z | 2022-03-29T14:11:39.000Z | """
@author: Jun Wang
@date: 20201012
@contact: jun21wangustc@gmail.com
"""
import sys
import torch
from thop import profile
from thop import clever_format
sys.path.append('..')
from backbone.backbone_def import BackboneFactory
#backbone_type = 'MobileFaceNet'
#backbone_type = 'ResNet'
#backbone_type = 'EfficientN... | 26.09375 | 69 | 0.755689 |
783e6d26b6b475e167aac40e0f659fbb0608d727 | 2,720 | py | Python | research/nlp/hypertext/src/data_preprocessing.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/hypertext/src/data_preprocessing.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/hypertext/src/data_preprocessing.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 38.309859 | 99 | 0.568382 |
ecbb189108b2c5bba0a3e02d2c409f2c25703ac8 | 1,111 | py | Python | Packs/ExpanseV2/Scripts/ExpanseAggregateAttributionIP/ExpanseAggregateAttributionIP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ExpanseV2/Scripts/ExpanseAggregateAttributionIP/ExpanseAggregateAttributionIP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ExpanseV2/Scripts/ExpanseAggregateAttributionIP/ExpanseAggregateAttributionIP_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa
import ExpanseAggregateAttributionIP
INPUT = [
{"src": "1.1.1.1", "count": 2},
{"src_ip": "8.8.8.8"},
{"src": "8.8.8.8", "count": 10}
]
CURRENT = [
{"ip": "1.1.1.1", "sightings": 1, "internal": False}
]
RESULT = [
{"ip": "1.1.1.1", "sightings": 3, "internal... | 25.25 | 69 | 0.60216 |
da913cff35b7f8cea59331d2ea65b018c518aca2 | 464 | py | Python | leetcode/047-Permutations-II/Perm2_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/047-Permutations-II/Perm2_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/047-Permutations-II/Perm2_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param {integer[]} nums
# @return {integer[][]}
def permuteUnique(self, nums):
if len(nums) == 1:
return [nums]
res, bag = [], set()
for i in range(len(nums)):
if nums[i] not in bag:
bag.add(nums[i])
tmp = num... | 27.294118 | 56 | 0.450431 |
e5b14cb230e06bba662b7d037ba20c628223189a | 1,370 | py | Python | Problems/Dynamic Programming/Medium/BestTimeBuySellStockTransactionFee/best _time_buy_sell_stock_transaction_fee.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/Medium/BestTimeBuySellStockTransactionFee/best _time_buy_sell_stock_transaction_fee.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/Medium/BestTimeBuySellStockTransactionFee/best _time_buy_sell_stock_transaction_fee.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from functools import lru_cache
from typing import List
# Top-down (Memoization)
# TC: O(N * 2) = O(N); SC: (N)
def maxProfit(self, prices: List[int], fee: int) -> int:
@lru_cache(None)
def dp(i: int, hold: int) -> int:
if i == len(prices):
return 0
if hold:
return max... | 27.959184 | 78 | 0.488321 |
e5f5290797e828ab9405940431c88133839e6272 | 153 | py | Python | tests/resources/docker/docker-project/docker_project/api/__init__.py | Kludex/fastapi-template | 47256eb8f8c7439a4d669172d94ce84c62cdb25a | [
"MIT"
] | 14 | 2021-03-27T22:18:56.000Z | 2022-03-21T19:04:48.000Z | tests/resources/docker/docker-project/docker_project/api/__init__.py | Kludex/fastapi-template | 47256eb8f8c7439a4d669172d94ce84c62cdb25a | [
"MIT"
] | 33 | 2021-03-28T21:06:22.000Z | 2022-03-07T14:18:26.000Z | tests/resources/docker/docker-project/docker_project/api/__init__.py | Kludex/fastapi-template | 47256eb8f8c7439a4d669172d94ce84c62cdb25a | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from docker_project.api.v1 import router as v1_router
router = APIRouter(prefix="/api")
router.include_router(v1_router)
| 21.857143 | 53 | 0.816993 |
005c520d10e3d4661ccd25e778f08eff3788ef0c | 27 | py | Python | KnowledgeQuizTool/MillionHeroes/baiduSearch/__init__.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | 26 | 2018-01-11T03:57:40.000Z | 2021-12-22T07:12:59.000Z | baiduSearch/__init__.py | wenxuefeng3930/MillionHeroesAssistant | c382e2685275d6b5d92d5b68fa9c515360e61f9e | [
"MIT"
] | 68 | 2020-09-05T04:22:49.000Z | 2022-03-25T18:47:08.000Z | baiduSearch/__init__.py | wenxuefeng3930/MillionHeroesAssistant | c382e2685275d6b5d92d5b68fa9c515360e61f9e | [
"MIT"
] | 10 | 2018-01-11T03:59:05.000Z | 2021-12-22T07:13:00.000Z | from .search import search
| 13.5 | 26 | 0.814815 |
c161f31eeb779c7b8548829de43a4c03e447a935 | 301 | py | Python | exercises/zh/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/exc_03_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
# 定义定制化组件
def length_component(doc):
# 获取doc的长度
doc_length = ____
print(f"This document is {doc_length} tokens long.")
# 返回这个doc
____
# 读取小规模的中文模型
nlp = spacy.load("zh_core_web_sm")
# 将组件加入到流程的最前面，打印流程组件名
____.____(____)
print(nlp.pipe_names)
# 处理一段文本
doc = ____
| 14.333333 | 56 | 0.700997 |
c16a85cc6885ea21882ac83388d22766e02a7daf | 491 | py | Python | source/pkgsrc/devel/py-cursespanel/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/devel/py-cursespanel/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/devel/py-cursespanel/files/setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | # $NetBSD: setup.py,v 1.1.1.1 2003/06/04 19:32:13 drochner Exp $
import distutils
from distutils.core import setup, Extension
ncursesprefix = '@NCURSESPREFIX@'
ncincl = ncursesprefix + '/include'
nclib = ncursesprefix + '/lib'
setup(
ext_modules = [
Extension(
'_curses_panel',
['Modules/_curses_panel.c'],
... | 21.347826 | 64 | 0.690428 |
a9b984944d8e96d17cccfb6cd03f20586c3d41ea | 12,621 | py | Python | agents/dqn.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | agents/dqn.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | agents/dqn.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | # DeepQ network implementation
import tensorflow as tf
from tensorflow.keras import Model
import random
import numpy as np
from envs.base import StateFormat
from matplotlib import pyplot as plt
class DeepQNet(Model):
"""基于神经网络的强化学习"""
def __init__(self,
state_shape,
actions,
... | 42.928571 | 128 | 0.587988 |
68e8a107abddb01774d91a56a94fc98bff0359a6 | 682 | py | Python | leetcode/216-Combination-Sum-III/CombinationSumIII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-04-07T15:08:53.000Z | 2016-04-07T15:08:53.000Z | leetcode/216-Combination-Sum-III/CombinationSumIII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/216-Combination-Sum-III/CombinationSumIII_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def combinationSum3(self, k, n):
"""
:type k: int
:type n: int
:rtype: List[List[int]]
"""
res = []
for i in range(1, 10):
tmp = self.comb(i, k, n)
res += tmp
return res
def comb(self, init, k, n):
... | 26.230769 | 72 | 0.403226 |
6b5dee83910e8518a87c3a636b4c2125bd90738e | 3,442 | py | Python | python/pygame/game_of_life.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/pygame/game_of_life.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/pygame/game_of_life.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | import sys, math
import numpy as np
from random import randint
from PyQt5.QtCore import Qt, QBasicTimer
from PyQt5.QtGui import QColor, QPainter
from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, QMessageBox
class GameOfLife(QMainWindow):
def __init__(self):
super().__init__()
self.m... | 31.290909 | 98 | 0.562464 |
6bf0a59907ac3d9d772658f32c7c045ebe52060e | 10,020 | py | Python | 20-hs-redez-sem/groups/07-decentTCP/src/proxy.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-hs-redez-sem/groups/07-decentTCP/src/proxy.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-hs-redez-sem/groups/07-decentTCP/src/proxy.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import json
import select
import socket
import sys, os
import getopt
import time
from threading import Thread
import queue
from nacl.bindings import crypto_sign_ed25519_pk_to_curve25519
from nacl.public import PublicKey
from lib import crypto
from lib.feed import FEED
CONFIG_DIR = ".bacnet-proxy/"
DATA_DIR = CONFIG_... | 40.403226 | 118 | 0.509681 |
2e864815603d1dbe399d8bad79fa7084204cfd4c | 997 | py | Python | train.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | train.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | train.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | import torch
import torch.optim as O
import os.path
from model import BIDAF
from torchtext import data, datasets
def train_batch(config, model, opt, batch):
model.train(); opt.zero_grad()
n_correct, n_total = 0, 0
print(batch)
ls, s, le, e = model(batch)
def train_epoch(config, model, opt, iter):
... | 22.659091 | 67 | 0.674022 |
5cfaa60e71fa83564271f4c5066d97a037b5d30d | 1,806 | py | Python | migrations/versions/eba21922b9b7_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | migrations/versions/eba21922b9b7_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | migrations/versions/eba21922b9b7_.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | """empty message
Revision ID: eba21922b9b7
Revises: 12aac790ed5e
Create Date: 2021-12-05 14:32:12.165882
"""
import sqlalchemy as sa
import sqlalchemy_utils
from alembic import op
from project import dbtypes
# revision identifiers, used by Alembic.
revision = "eba21922b9b7"
down_revision = "12aac790ed5e"
branch_lab... | 27.363636 | 65 | 0.594684 |
5ce261f30360290aa48a3d542670943d750aa036 | 4,420 | py | Python | elements/python/8/7/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/8/7/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/8/7/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | class Node(object):
def __init__(self, x, nxt):
self.x = x
self.next = nxt
# From problem 8.5.
def find_cycle(n):
# fast and slow pointers will collide if there is a cycle
slow = n
fast = n.next
while slow != fast:
slow = slow.next
fast = fast.next
if fast is... | 21.666667 | 77 | 0.549548 |
56f5fe0bc8e1856970e072c5d8b8a3420bb6b732 | 2,143 | py | Python | matrix approach.py | Fatiepie/CircuitSim | d46b6a85f4be30ac997c4440beab62434a5af2fc | [
"MIT"
] | null | null | null | matrix approach.py | Fatiepie/CircuitSim | d46b6a85f4be30ac997c4440beab62434a5af2fc | [
"MIT"
] | null | null | null | matrix approach.py | Fatiepie/CircuitSim | d46b6a85f4be30ac997c4440beab62434a5af2fc | [
"MIT"
] | 1 | 2021-05-26T13:24:40.000Z | 2021-05-26T13:24:40.000Z | import random,numpy
resistorList=[]
class Component():
def location(self,x1,y1,x2,y2):
self.location1=(x1,y1)
self.location2=(x2,y2)
class VoltageSource(Component):
def __init__(self, name, voltage):
self.name=name
self.voltage=voltage
class Resistor(Component):
def __ini... | 30.614286 | 128 | 0.730285 |
85a978de7f896e75a9471dfe7b356de13a892c6a | 271 | py | Python | Klassifikation/knn_iris.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Klassifikation/knn_iris.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Klassifikation/knn_iris.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | import pandas as pd
column_names = ["sepal-length", "sepal-width", "petal-length", "petal-width", "class"]
iris_data_set = pd.read_csv("iris.csv", names=column_names, header=None)
print(iris_data_set.head())
print(iris_data_set.tail())
print(iris_data_set.describe()) | 27.1 | 86 | 0.745387 |
7441374996d6adcdeb6105248f07429a9c15cb8d | 4,503 | py | Python | tools/legacy/darkstar-vol-extractor/nuvol.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 2 | 2020-03-18T18:23:27.000Z | 2020-08-02T15:59:16.000Z | tools/legacy/darkstar-vol-extractor/nuvol.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 5 | 2019-07-07T16:47:47.000Z | 2020-08-10T16:20:00.000Z | tools/legacy/darkstar-vol-extractor/nuvol.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 1 | 2020-03-18T18:23:30.000Z | 2020-03-18T18:23:30.000Z | import sys
import struct
import json
import glob
import binascii
from os import listdir, rename
from os.path import isfile, join, exists, split
importFolders = []
for importFolder in sys.argv[1:]:
files = glob.glob(importFolder)
importFolders.extend(files)
for importFolder in importFolders:
importFolderV... | 38.161017 | 114 | 0.650677 |
748e00fa398c6e025f11cfb43c2b5aa34620b60e | 4,024 | py | Python | postprocessing/corpus_reading.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | postprocessing/corpus_reading.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | postprocessing/corpus_reading.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import annotations
import bs4
class DocumentLine:
def __init__(self, doc: Document, line: str, previous: DocumentLine = None):
self.doc = doc
self.line = line
self.idx = previous.idx + 1 if previous else 0
self._xml_... | 28.338028 | 85 | 0.62674 |
77dcdd83804bae9cdffac5b42918e60c3de23056 | 1,124 | py | Python | src/onegov/feriennet/converters.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/converters.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/converters.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import morepath
import re
from datetime import date
AGE_RANGE_RE = re.compile(r'[0-9]+-[0-9]+')
def age_range_decode(s):
if not isinstance(s, str):
return None
if not AGE_RANGE_RE.match(s):
return None
age_range = tuple(int(a) for a in s.split('-'))
if age_range[0] < age_range[1]... | 18.42623 | 75 | 0.607651 |
708d1a4ab435b4bf9a5c3fe5ccb90bcf31108fec | 5,016 | py | Python | Metadataextraction/test_mastersim.py | corneliazy/Geosoftware2 | 8604c79c58a61b84c602f16b5f1e74e30dfcbd0e | [
"MIT"
] | null | null | null | Metadataextraction/test_mastersim.py | corneliazy/Geosoftware2 | 8604c79c58a61b84c602f16b5f1e74e30dfcbd0e | [
"MIT"
] | 47 | 2018-11-13T13:55:01.000Z | 2019-09-16T13:38:11.000Z | Metadataextraction/test_mastersim.py | corneliazy/Geosoftware2 | 8604c79c58a61b84c602f16b5f1e74e30dfcbd0e | [
"MIT"
] | 4 | 2018-11-27T12:36:51.000Z | 2020-10-14T18:07:04.000Z | import click # used to print something
import mastersim #similar # used to invoke the master function
import os # used to get the location of the testdata
__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
#--detail
click.echo(__location__+'/... | 47.320755 | 111 | 0.786085 |
562c1580ce7ad64a5fdcbe218ed4ea74532ef598 | 4,549 | py | Python | OxoCard/RoomConditionMonitor.py | ckuehnel/MicroPython | c57d0df744fe5301e755bd139b6cc56d69c442fd | [
"MIT"
] | 1 | 2021-03-22T18:38:43.000Z | 2021-03-22T18:38:43.000Z | OxoCard/RoomConditionMonitor.py | ckuehnel/MicroPython | c57d0df744fe5301e755bd139b6cc56d69c442fd | [
"MIT"
] | null | null | null | OxoCard/RoomConditionMonitor.py | ckuehnel/MicroPython | c57d0df744fe5301e755bd139b6cc56d69c442fd | [
"MIT"
] | 1 | 2021-02-06T10:07:36.000Z | 2021-02-06T10:07:36.000Z | '''
File: RoomConditionMonitor.py
needs: adafruit_sgp30.py
This Room Condition Monitor running on OxoCard is using
SHT30 to measure temperature and humidity and
SGP30 to measure TVOC and eCO2.
Measured values are displayed on 0.96" OLED and air quality
is display as pattern on OxoCard matrix display.
2021-03-27 Clau... | 28.254658 | 131 | 0.621675 |
79b049a13dbab9b11a8d4aa3088b3a5b57b2b2b5 | 403 | py | Python | ufmt/__init__.py | thatch/ufmt | a9129c918dee0861c13b917d0bf144cb66e4f44b | [
"MIT"
] | null | null | null | ufmt/__init__.py | thatch/ufmt | a9129c918dee0861c13b917d0bf144cb66e4f44b | [
"MIT"
] | null | null | null | ufmt/__init__.py | thatch/ufmt | a9129c918dee0861c13b917d0bf144cb66e4f44b | [
"MIT"
] | null | null | null | """
usort + black, in that order
"""
__author__ = "John Reese"
import sys
from pathlib import Path
from typing import List
import click
from black import decode_bytes, format_file_contents, Mode, NothingChanged
from usort.config import Config
from usort.sorting import usort_string
from usort.util import walk
from ._... | 22.388889 | 74 | 0.808933 |
79c3e20e4dbb62a04f374f72b5c515bc05eabbfe | 32 | py | Python | lib/python3.5/stat.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 1 | 2020-08-16T04:04:23.000Z | 2020-08-16T04:04:23.000Z | lib/python3.5/stat.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 5 | 2020-06-05T18:53:24.000Z | 2021-12-13T19:49:15.000Z | lib/python3.5/stat.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | null | null | null | /usr/local/lib/python3.5/stat.py | 32 | 32 | 0.78125 |
79c6dae7644e3290cd6d482b22b36d7d265ca221 | 9,589 | py | Python | cbm/extract/pgS1bsExtract.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 17 | 2021-01-18T07:27:01.000Z | 2022-03-10T12:26:21.000Z | cbm/extract/pgS1bsExtract.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 4 | 2021-04-29T11:20:44.000Z | 2021-12-06T10:19:17.000Z | cbm/extract/pgS1bsExtract.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 47 | 2021-01-21T08:25:22.000Z | 2022-03-21T14:28:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Guido Lemoine
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import time
import sys
import os
import io
import json
import psycop... | 33.065517 | 202 | 0.581708 |
d6c165160502c41a0097922ff2264f059fe7e418 | 1,893 | py | Python | BeautifulData/BeautifulData/views/backend.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | BeautifulData/BeautifulData/views/backend.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | BeautifulData/BeautifulData/views/backend.py | zhangyafeii/Flask | 9c9a5ea282f77aabcda838796dad2411af9b519f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Datetime: 2019/1/1
@Author: Zhang Yafei
"""
from flask import Blueprint, render_template, request, Markup, url_for
from BeautifulData.utils.pagination import Pagination
from Admin.file_reader import reader
main = Blueprint('main', __name__, static_folder='static')
@main.app_template_glo... | 34.418182 | 103 | 0.698891 |
bac53e4254374ffdd5163e38516181f642f8cc05 | 3,677 | py | Python | LoPy/LoAirRohr01/main.py | OffenesJena/JenLoRa | 332114edc8927b577f9c4775d7c721ba63daa77b | [
"Apache-2.0"
] | 1 | 2017-08-23T20:45:35.000Z | 2017-08-23T20:45:35.000Z | LoPy/LoAirRohr01/main.py | OffenesJena/JenLoRa | 332114edc8927b577f9c4775d7c721ba63daa77b | [
"Apache-2.0"
] | null | null | null | LoPy/LoAirRohr01/main.py | OffenesJena/JenLoRa | 332114edc8927b577f9c4775d7c721ba63daa77b | [
"Apache-2.0"
] | null | null | null | import pycom
import machine
import math
import network
import os
import time
import utime
import socket
import binascii
import gc
from machine import RTC
from machine import SD
from machine import Timer
from network import LoRa
from machine import Pin
from machine import I2C
import bme280
print(os.uname())
# https://... | 24.190789 | 76 | 0.618711 |
0373bd1a65e60bb87a07d3ddc664d7bc725562a4 | 1,072 | py | Python | src/server/app/endpoints/location_tracker/controllers.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 6 | 2020-12-15T18:57:53.000Z | 2022-02-06T18:54:35.000Z | src/server/app/endpoints/location_tracker/controllers.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 186 | 2020-11-17T10:18:17.000Z | 2022-03-02T07:19:22.000Z | src/server/app/endpoints/location_tracker/controllers.py | MatthiasRiener/DigiPen | 9b4aff4a1c431e06d73733dc3dd3f3f3d4631704 | [
"MIT"
] | 1 | 2020-12-14T19:37:30.000Z | 2020-12-14T19:37:30.000Z | from ...db.settings import db, oidc, socketio
from flask import Flask, Blueprint, render_template, abort, g, request
from oauth2client.client import OAuth2Credentials
from flask_socketio import emit, join_room, leave_room, send
from flask_jwt_extended import (create_access_token, create_refresh_token, jwt_required, jw... | 34.580645 | 176 | 0.760261 |
0692a88dad7f64d4ef1c8809a519054cea65fce5 | 5,283 | py | Python | main.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | 1 | 2021-12-29T10:20:48.000Z | 2021-12-29T10:20:48.000Z | main.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | null | null | null | main.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | null | null | null | """
MemoTrans
Vasco Berl, Veronika Sahlbach
Audiodateien aus Telegrammgruppen automatisch transkribieren und zuordnen
"""
import sys
import os
import io
from pydub import AudioSegment
import math
import threading
from PyQt5 import QtWidgets as qtw
from PyQt5 import QtGui as qtg
from PyQt5 import QtCore as qtc
from path... | 34.986755 | 107 | 0.586977 |
0004dace4f33bee731c9163bf4d2b876413eb952 | 6,006 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/utils/multigrid/short_sampler.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 883 | 2020-11-12T11:46:46.000Z | 2022-03-31T18:27:10.000Z | paddlevideo/utils/multigrid/short_sampler.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 233 | 2020-12-09T06:04:59.000Z | 2022-03-28T08:16:51.000Z | paddlevideo/utils/multigrid/short_sampler.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 225 | 2020-11-13T06:21:55.000Z | 2022-03-31T05:36:11.000Z | from __future__ import print_function
from __future__ import division
import numpy as np
import math
from paddle.io import BatchSampler
__all__ = ["DistributedShortSampler"]
class DistributedShortSampler(BatchSampler):
"""Sampler that restricts data loading to a subset of the dataset.
In such case, each pr... | 40.581081 | 99 | 0.612055 |
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