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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d61aa5765b26435fc40482349503a6ec73792b3f | 3,345 | py | Python | src/onegov/core/static.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/static.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/static.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Static files in OneGov applications are served under ``/static``.
By default the ``/static`` folder of the application is used, relative to
the path of the application class. Files in that folder are available to
everyone if enabled::
from onegov.core.framework import Framework
class App(Framework):
... | 28.589744 | 79 | 0.676831 |
61888c90c6c1e171d821b17ece09b4d0f16be36a | 8,290 | py | Python | api/models/measures.py | healthIMIS/aha-kompass | 7b7cae24502c0c0e5635c587cfef797a93ae02b5 | [
"MIT"
] | 2 | 2021-03-23T20:32:38.000Z | 2021-04-21T11:20:12.000Z | api/models/measures.py | healthIMIS/aha-kompass | 7b7cae24502c0c0e5635c587cfef797a93ae02b5 | [
"MIT"
] | 4 | 2021-04-19T11:00:55.000Z | 2021-04-20T08:21:48.000Z | api/models/measures.py | healthIMIS/aha-kompass | 7b7cae24502c0c0e5635c587cfef797a93ae02b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Corona-Info-App
# Measures
# © 2020 Tobias Höpp und Johannes Kreutz.
# Include dependencies
import enum
from main import db
import json
from models.association_tables import *
class sources(db.Model):
#Datenquellen für Maßnahmen
__tablename__ = "sources"
id = db.Column(db.Integer, p... | 50.242424 | 269 | 0.732207 |
9cf8899c7cf72bdd7a824e92c186458afa27722d | 6,386 | py | Python | app-backend/app/stakeholder.py | MarlonSchultz/SHM | f9082afb34d41ba20de564939c2e7de0caed907e | [
"MIT"
] | null | null | null | app-backend/app/stakeholder.py | MarlonSchultz/SHM | f9082afb34d41ba20de564939c2e7de0caed907e | [
"MIT"
] | 1 | 2019-03-12T13:35:46.000Z | 2019-03-12T13:35:46.000Z | app-backend/app/stakeholder.py | MarlonSchultz/SHM | f9082afb34d41ba20de564939c2e7de0caed907e | [
"MIT"
] | 1 | 2019-03-15T13:29:57.000Z | 2019-03-15T13:29:57.000Z | from flask import Blueprint, request, jsonify
from sqlalchemy.exc import OperationalError, ProgrammingError
from werkzeug.wrappers import Response
from app import db
class Stakeholder(db.Model):
"""
Stakeholder class.
"""
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(300... | 40.935897 | 133 | 0.684153 |
14995c6d74f4a25158e7d5a0f44192755bf49f39 | 893 | py | Python | SleekSecurity/layers/plugins/audit/xst.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/audit/xst.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/audit/xst.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# @name: Wascan - Web Application Scanner
# @repo: https://github.com/m4ll0k/Wascan
# @author: Momo Outaadi (M4ll0k)
# @license: See the file 'LICENSE.txt'
from re import search,I
from lib.utils.printer import *
from lib.request.request import *
class xst(Request... | 24.805556 | 81 | 0.652856 |
1ae68e80de440caf13693da1319291aab6cf7fa9 | 48 | py | Python | dtdocker/constants.py | oxsoftdev/dt-docker | 8ba30bf5ca2a7b89f3c7658a7768b16dbf8514a5 | [
"MIT"
] | null | null | null | dtdocker/constants.py | oxsoftdev/dt-docker | 8ba30bf5ca2a7b89f3c7658a7768b16dbf8514a5 | [
"MIT"
] | null | null | null | dtdocker/constants.py | oxsoftdev/dt-docker | 8ba30bf5ca2a7b89f3c7658a7768b16dbf8514a5 | [
"MIT"
] | null | null | null | import os
BASEPATH = os.path.dirname(__file__)
| 12 | 36 | 0.770833 |
25cad67025247d4c8f181a05badaca24abe53e67 | 416 | py | Python | Fastir_Collector/evt/windows2003ServerEvt.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | Fastir_Collector/evt/windows2003ServerEvt.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | Fastir_Collector/evt/windows2003ServerEvt.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from logs import _EventLogs
class Windows2003ServerEvt(_EventLogs):
def __init__(self, params):
super(Windows2003ServerEvt, self).__init__(params)
def csv_event_logs(self):
super(Windows2003ServerEvt, self)._csv_event_logs(True)
... | 29.714286 | 64 | 0.742788 |
9fb1b304bb6d6064ccfd3fe171d532955eaf8d26 | 2,083 | py | Python | test/test_npu/test_zeroslike.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_zeroslike.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_zeroslike.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# 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/lice... | 37.196429 | 74 | 0.675948 |
e2729e475b9f1c57f373c4b91cf146a805dc7357 | 15,203 | py | Python | Packs/CarbonBlackEnterpriseEDR/Integrations/CarbonBlackEnterpriseEDR/test_data/raw_data.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CarbonBlackEnterpriseEDR/Integrations/CarbonBlackEnterpriseEDR/test_data/raw_data.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CarbonBlackEnterpriseEDR/Integrations/CarbonBlackEnterpriseEDR/test_data/raw_data.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | # guid: "7DESJ9GN-0034d5f2-00001f78-00000000-1d68709f411ee43"
EVENT_BY_PROCESS = {
"results": [{"backend_timestamp": "2020-10-07T01:15:43.141Z", "created_timestamp": "2020-10-14T06:53:22.029Z",
"event_guid": "h9XCWYcZSviJ1Kj0bdYnsg", "event_hash": "OFrgVLsGT-WuhsTxibiRyQ",
"event_... | 93.845679 | 117 | 0.630468 |
b3b631930c4b9f8629bfcaf96185494b92ea0b6e | 365 | py | Python | 75-sort-colors/75-sort-colors.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 75-sort-colors/75-sort-colors.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 75-sort-colors/75-sort-colors.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def sortColors(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
numdict={i: nums.count(i) for i in range(3)}
cur=0
for i in range(len(nums)):
while(numdict[cur]==0):
cur+=1
... | 30.416667 | 61 | 0.490411 |
377dd206d4670868db4dfc807f0f21801e79ddc6 | 680 | py | Python | back-end/src/analysis/cdf.py | akshah/iodb | 80fbad1cb639e2cad304d6565cf4918ee5b4e4c0 | [
"Apache-2.0"
] | null | null | null | back-end/src/analysis/cdf.py | akshah/iodb | 80fbad1cb639e2cad304d6565cf4918ee5b4e4c0 | [
"Apache-2.0"
] | null | null | null | back-end/src/analysis/cdf.py | akshah/iodb | 80fbad1cb639e2cad304d6565cf4918ee5b4e4c0 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import statsmodels.api as sm # recommended import according to the docs
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
with open("/raid/akshah/BGP-Ping-Data/raw_data/demo_data/iodb2_durations", "r") as ins:
sample = []
for line in ins:
line=line.rstrip()
if not line.isdi... | 25.185185 | 87 | 0.695588 |
807357244e746079480b7a371f27ec04e0e9d3b4 | 1,554 | py | Python | marsyas-vamp/marsyas/src/marsyas_python/resynthesis.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/resynthesis.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/resynthesis.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null |
import marsyas
import marsyas_util
source = ["Series/source", ["SoundFileSource/src", "ShiftInput/sft", "Windowing/win", "Spectrum/spk", "Whitening/wtn", "Transposer/tp1"]]
filter = ["Series/filter", ["SoundFileSource/src2", "ShiftInput/sft2", "Windowing/win2", "Spectrum/sinspk", "PowerSpectrum/pwrsin", "Transposer/s... | 47.090909 | 170 | 0.721364 |
80a1da0a11f18748d7eb3d3c9d07157d36584ff2 | 692 | py | Python | setup.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | null | null | null | setup.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | null | null | null | setup.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | null | null | null | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="samt",
version=0.4,
author="neunzehnhundert97",
packages=["samt"],
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Programming Language :: Python :: 3 :: Only",
... | 26.615385 | 60 | 0.622832 |
80c009038480c1d448ea0f96d100e7b4adfc68af | 2,609 | py | Python | Packs/CommonWidgets/Scripts/FeedIntegrationErrorWidget/FeedIntegrationErrorWidget_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CommonWidgets/Scripts/FeedIntegrationErrorWidget/FeedIntegrationErrorWidget_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CommonWidgets/Scripts/FeedIntegrationErrorWidget/FeedIntegrationErrorWidget_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import demistomock as demisto
from FeedIntegrationErrorWidget import get_feed_integration_errors
def test_get_feed_integration_errors(mocker):
'''
Given:
- Integration search result which contains the following:
- Enabled feed integration instance with error
- Feed... | 31.059524 | 66 | 0.522039 |
03e5faaa5bbf6ab19dec221fd50248b663bd652d | 2,433 | py | Python | feedcrawler/sites/content_shows_dj.py | rix1337/RSScrawler | 5a1c067148310c03321329d3fa409a4e4144fce7 | [
"MIT"
] | 63 | 2016-03-21T21:35:07.000Z | 2021-03-20T22:50:34.000Z | feedcrawler/sites/content_shows_dj.py | rix1337/RSScrawler | 5a1c067148310c03321329d3fa409a4e4144fce7 | [
"MIT"
] | 200 | 2016-03-15T21:45:26.000Z | 2021-04-03T10:47:45.000Z | feedcrawler/sites/content_shows_dj.py | rix1337/RSScrawler | 5a1c067148310c03321329d3fa409a4e4144fce7 | [
"MIT"
] | 25 | 2016-03-15T20:44:33.000Z | 2020-10-25T09:43:48.000Z | # -*- coding: utf-8 -*-
# FeedCrawler
# Projekt von https://github.com/rix1337
import feedcrawler.sites.shared.content_shows as shared_shows
from feedcrawler.config import CrawlerConfig
from feedcrawler.db import FeedDb
from feedcrawler.sites.shared.internal_feed import j_parse_download
from feedcrawler.sites.shared.i... | 38.619048 | 118 | 0.670366 |
20d744165096d4c7780d5933c83ed17b2fdeadea | 1,963 | py | Python | simple-tensorflow-demo/4.demos/4.nnTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-07-05T03:42:17.000Z | 2019-07-05T03:42:17.000Z | simple-tensorflow-demo/4.demos/4.nnTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | null | null | null | simple-tensorflow-demo/4.demos/4.nnTest.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-06-24T05:56:55.000Z | 2019-06-24T05:56:55.000Z | """
x1 --w1--> |
x2 --w2--> |
x3 --w3--> | --> x_new
... |
b ------> |
x_new = f(sigma(x * w) + b)
f activation function 激活函数, 引入激活函数, 是为了引入非线性, 提高模型表达力.
w weight 权重
b bias 偏置
relu: f(x) = max(x, 0)
sigmoid: f(x) = 1 / (1+e^(-x))
tanh: f(x) = (1-e^(-2x)) / (1+e^(-2x))
NN的层数: 因为输入层没有计算, 所以层数 = 隐藏层 + 输出层
NN的复杂... | 22.825581 | 71 | 0.481915 |
ff8d6e725ab316f686ffa4ca27b663d196095b49 | 3,053 | py | Python | create_markdown.py | jonek/klimawatch | 1dbacdbb9926995b2364bd3f1a6f7427b6e37b33 | [
"Apache-2.0"
] | 22 | 2019-11-09T16:54:50.000Z | 2022-01-04T10:23:04.000Z | create_markdown.py | jonek/klimawatch | 1dbacdbb9926995b2364bd3f1a6f7427b6e37b33 | [
"Apache-2.0"
] | 106 | 2019-11-06T17:38:34.000Z | 2022-03-19T09:58:54.000Z | create_markdown.py | jonek/klimawatch | 1dbacdbb9926995b2364bd3f1a6f7427b6e37b33 | [
"Apache-2.0"
] | 17 | 2019-11-26T11:34:29.000Z | 2022-03-18T12:18:20.000Z | # coding=utf-8
import sys # reading command line arguments
import csv
from datetime import date
import locale
from distutils.util import strtobool
import os
from pathlib import Path
if len(sys.argv) <= 1:
print("No city given, Stopping script.")
quit()
else:
city = sys.argv[1]
# FIXME: not nice but it works... | 41.256757 | 189 | 0.716017 |
84b58b7a984a27869694adbee5211ff889066716 | 237 | py | Python | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Additon_of_Two_Matrices.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Additon_of_Two_Matrices.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Additon_of_Two_Matrices.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | X=[[12,7,3],
[4,5,6],
[7,8,9]]
Y=[[5,8,1],
[6,7,3],
[4,5,9]]
result=[[0,0,0],
[0,0,0],
[0,0,0]]
for i in range(len(X)):
for j in range(len(X[0])):
result[i][j]=X[i][j]+Y[i][j]
for r in result:
print(r) | 13.166667 | 30 | 0.417722 |
84c86ebbd7d52f1a0251de7f3c881b9ef36dc6f0 | 2,706 | py | Python | Tutorials/30_days_of_code/2DArrays.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/30_days_of_code/2DArrays.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/30_days_of_code/2DArrays.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | import numpy as np
# https://www.hackerrank.com/challenges/2d-array/problem?h_r=internal-search
arr = []
for _ in range(6):
arr.append(list(map(int, input().strip().split())))
pass
arr = np.array(arr)
print(arr)
"""
hour glass are 16 in 6x6 matrix
[
1 1 1
1
1 1 1
]
"""
# print(arr.size) # no... | 17.346154 | 95 | 0.486696 |
84ff0f5c06b6d01d821406db4011cd894029c44b | 854 | py | Python | python/click/complex_applications.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/click/complex_applications.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/click/complex_applications.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import os
import click
class Repo(object):
def __init__(self, home=None, debug=False):
self.home = os.path.abspath(home or ".")
self.debug = debug
def __repr__(self):
return f"Repo: {self.home}, debug: {self.debug}"
pass_repo = click.make_pass_decorator(Repo, ensure=True)
@click.gr... | 22.473684 | 71 | 0.648712 |
04ddb47b65024377666a0192e2631bbf50416b08 | 18,687 | py | Python | Packs/NutanixHypervisor/Integrations/NutanixHypervisor/NutanixHypervisor_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/NutanixHypervisor/Integrations/NutanixHypervisor/NutanixHypervisor_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/NutanixHypervisor/Integrations/NutanixHypervisor/NutanixHypervisor_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """Nutanix Integration for Cortex XSOAR - Unit Tests file"""
import io
import json
from datetime import datetime
from typing import *
import pytest
from CommonServerPython import DemistoException, CommandResults
from NutanixHypervisor import Client
from NutanixHypervisor import USECS_ENTRIES_MAPPING
from NutanixHype... | 43.057604 | 117 | 0.647509 |
edb843e4c45c01823838d540e462ab5bf84cd8f6 | 508 | py | Python | Algorithms/Sort_Algorithms/Bubble_Sort/bubble-sort.py | hussamEL-Hwary/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 18 | 2016-11-01T04:00:36.000Z | 2021-09-13T14:26:35.000Z | Algorithms/Sort_Algorithms/Bubble_Sort/bubble-sort.py | JEERU/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 60 | 2016-10-11T14:50:47.000Z | 2016-10-31T11:05:01.000Z | Algorithms/Sort_Algorithms/Bubble_Sort/bubble-sort.py | JEERU/DS-Algo-Handbook | 86a97d586a4ca8b17168c0a9f5a9f43f856eba58 | [
"MIT"
] | 87 | 2016-09-08T05:04:50.000Z | 2016-10-30T19:19:53.000Z | #!/usr/bin/env python3
# Written by @daydreamer at Oct 12, 2016. Trying to do same behaviour as the C code
# Except for the input part
sz = int(input('enter the number of elements to input:\n'))
ar = list(map(int, input('enter the elements:\n').split(' ')))
print("array before sorting:")
for item in ar:
print(item... | 26.736842 | 83 | 0.625984 |
edd87d55d1dd07868d88f97ac2438db53a208b30 | 471 | gyp | Python | source/pkgsrc/devel/gyp/patches/patch-test_module_src_module.gyp | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/devel/gyp/patches/patch-test_module_src_module.gyp | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/devel/gyp/patches/patch-test_module_src_module.gyp | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-test_module_src_module.gyp,v 1.1 2014/08/21 14:49:43 he Exp $
Treat NetBSD mostly like Linux.
--- test/module/src/module.gyp.orig 2014-08-12 13:43:00.000000000 +0000
+++ test/module/src/module.gyp
@@ -17,6 +17,10 @@
'cflags': ['-fPIC'],
'libraries': ['-ldl'],
}],
+ ['OS=="... | 26.166667 | 76 | 0.543524 |
1e5cacdbe97aeb7d8ad1013e89c0b9bc952077df | 253 | py | Python | Algorithms/Warmup/simple_array_sum.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Warmup/simple_array_sum.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Warmup/simple_array_sum.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
from functools import reduce
def simpleArraySum(n, ar):
return reduce(lambda x, y: x + y, ar)
n = int(input().strip())
ar = list(map(int, input().strip().split(' ')))
result = simpleArraySum(n, ar)
print(result)
| 19.461538 | 47 | 0.667984 |
785bcd6b2d2f9b2b45e029226471454e16e78f64 | 953 | py | Python | graphs/models.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | graphs/models.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | graphs/models.py | m-atisa/Standard-Answer-App | 28ad940925f794b1ca0cfd66f850f780aa43b4f8 | [
"Apache-2.0"
] | null | null | null | # %%
import pandas as pd
from plotly.offline import plot
import plotly.graph_objects as go
# %%
from django.db import models
from django.views.generic.base import TemplateView
# %%
def AmericanStates(csv_file_path, name):
states = pd.read_csv(csv_file_path)
fig = go.Figure(
data=go.Choropleth(
... | 26.472222 | 98 | 0.588667 |
bf381cbd387b2dd5cbfe35f675426ae8586b6709 | 2,275 | py | Python | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_smoothing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_smoothing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_smoothing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 31 21:52:17 2019
@author: imdff
"""
#%% Image Filtering
import cv2
import numpy as np
def nothing(x):
pass
img = cv2.imread('img/squirrel.jpg')
# 사이즈 조정
h, w = img.shape[:2]
r = 900/w
dim = (int(r*w), int(r*h))
img = cv2.resize(img, dim)
cv2.namedWindow('image')
... | 19.444444 | 84 | 0.594725 |
1787a5eb06827b5230b303c21dfdc3c37846b6a0 | 858 | py | Python | python/en/archive/dropbox/udacity-ds_and_algos/02-data-string.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/02-data-string.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/02-data-string.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 1 23:46:47 2019
@author: aimldl
"""
# Code
def anagram_checker(str1, str2):
"""
Check if the input strings are anagrams of each other
Args:
str1(string),str2(string): Strings to be checked
Returns:
bool: Indicates whethe... | 26.8125 | 107 | 0.636364 |
bd9f0a0a12e39fa29255293ee518a30525cd6795 | 3,608 | py | Python | repo/service.vpn.manager/libs/logbox.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 1 | 2017-11-26T18:18:46.000Z | 2017-11-26T18:18:46.000Z | repo/service.vpn.manager/libs/logbox.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | null | null | null | repo/service.vpn.manager/libs/logbox.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 3 | 2019-09-30T19:52:05.000Z | 2020-04-12T21:20:56.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Zomboided
#
# This program 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... | 38.795699 | 153 | 0.659922 |
e536a367f7045bbe91615d5789cdb65bd0fb02f1 | 9,190 | py | Python | research/cv/RefineDet/src/refinedet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/RefineDet/src/refinedet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/RefineDet/src/refinedet.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... | 40.844444 | 116 | 0.638955 |
005972d1e0364b4a78be0da31c91dc43bb4adc7b | 92,815 | py | Python | Packs/SophosCentral/Integrations/SophosCentral/SophosCentral_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/SophosCentral/Integrations/SophosCentral/SophosCentral_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/SophosCentral/Integrations/SophosCentral/SophosCentral_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
from datetime import datetime
import pytest
import requests
from pytest import raises
import demistomock as demisto
from CommonServerPython import (
DemistoException,
EntryType,
set_integration_context,
get_integration_context,
)
from SophosCentral import Client
from unittest im... | 35.933024 | 116 | 0.672262 |
006ebba40c32588c629a5d451d1cb37772a91871 | 7,258 | py | Python | src/onegov/core/templates.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/templates.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/templates.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Integrates the Chameleon template language.
This is basically a copy of more.chameleon, with the additional inclusion of a
gettext translation function defined by :mod:`onegov.core.i18n`.
To use a chameleon template, applications have to specify the templates
directory, in addition to inheriting from
:class:`oneg... | 30.754237 | 79 | 0.682557 |
c19fe03368264697077a2df6bd0eaa1018ecae07 | 676 | py | Python | MA/TestImageAnalysis.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | MA/TestImageAnalysis.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | MA/TestImageAnalysis.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import matplotlib.pyplot as plt
import time
from ImageAnalysis import ImageAnalysis
cap = cv2.VideoCapture(0)
IA = ImageAnalysis()
# Previous
_, frame = cap.read()
previous = frame
hsv = np.zeros_like(previous)
hsv[...,1] = 255
while True:
# Current
_, frame = cap.read()
... | 16.487805 | 47 | 0.652367 |
e7211c45c7a845e0095366a9b32a4819fabf72c7 | 700 | py | Python | ___Python/Angela/PyKurs/p11_excel/m01_excel_lesen.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Angela/PyKurs/p11_excel/m01_excel_lesen.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Angela/PyKurs/p11_excel/m01_excel_lesen.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime, date
import xlrd
from xlrd import xldate_as_tuple
def open_file(path):
book = xlrd.open_workbook(path)
print(book.nsheets)
print(book.sheet_names())
sheet = book.sheet_by_index(0)
for i in range(sheet.nrows):
values = []
for k in range(she... | 25 | 90 | 0.641429 |
99d02fedda73c75583ab30c8b495600d1511fa82 | 38,098 | py | Python | Packs/ThreatExchange/Integrations/ThreatExchangeV2/ThreatExchangeV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ThreatExchange/Integrations/ThreatExchangeV2/ThreatExchangeV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ThreatExchange/Integrations/ThreatExchangeV2/ThreatExchangeV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """
An integration module for the ThreatExchange V2 API.
API Documentation:
https://developers.facebook.com/docs/threat-exchange/reference/apis
"""
import collections
from typing import Tuple
import urllib3
from CommonServerUserPython import * # noqa
from CommonServerPython import * # noqa # pylint: disable=unus... | 39.034836 | 120 | 0.624311 |
99e22311116678a30a7db30379feaa03359e0f73 | 378 | py | Python | pacman-arch/test/pacman/tests/upgrade081.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/upgrade081.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/upgrade081.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Install a package (wrong architecture)"
p = pmpkg("dummy")
p.files = ["bin/dummy",
"usr/man/man1/dummy.1"]
p.arch = 'testarch'
self.addpkg(p)
self.option["Architecture"] = ['nottestarch']
self.args = "-U %s" % p.filename()
self.addrule("PACMAN_RETCODE=1")
self.addrule("!PKG_EXIST=dumm... | 22.235294 | 59 | 0.661376 |
4130663fb3b719866294c382b52441331ee5227d | 2,732 | py | Python | spider/master_online_nd.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | spider/master_online_nd.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | 2 | 2021-03-31T18:54:16.000Z | 2021-12-13T19:49:08.000Z | spider/master_online_nd.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | import re
import json
import fire
import time
from tqdm import tqdm
from datetime import datetime, timedelta
from collections import Counter
from Config import get_noau_config
_, db, r = get_noau_config()
# users = [i['tweet']['user']['screen_name'] for i in db.dataset_korea_m_1.find({}, {"tweet.user.screen_name": 1}... | 44.064516 | 151 | 0.554905 |
41705c132537328d1fd4d14302ee03bfb31612ff | 4,789 | py | Python | scripts/express_diff/__main__.py | jdehotin/IFC4.3.x-development | 5652a25dac27242af8c60f1a33206d1697948ffa | [
"FSFAP"
] | 1 | 2021-08-31T16:12:09.000Z | 2021-08-31T16:12:09.000Z | scripts/express_diff/__main__.py | Moult/IFC4.3.x-development | 5dfacdc91f04b446f9d7386b950099fc14e6587e | [
"FSFAP"
] | null | null | null | scripts/express_diff/__main__.py | Moult/IFC4.3.x-development | 5dfacdc91f04b446f9d7386b950099fc14e6587e | [
"FSFAP"
] | null | null | null | import os
import sys
import operator
import itertools
import tabulate
sys.path.append(os.path.abspath(os.path.dirname(__file__)))
import express_parser
import nodes
fn1, fn2, output = sys.argv[1:]
print("Running difference", *sys.argv[1:])
def eq(a, b):
if (type(a) != type(b)):
return False
elif i... | 42.758929 | 156 | 0.55001 |
6bf710eb8e2dd077de2f3b3c58ca8f5a1a1d14e5 | 29 | py | Python | Python/zzz_training_challenge/UdemyPythonPro/Chapter10_Cython/1_VectorND/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | 4 | 2020-12-28T23:43:35.000Z | 2022-01-01T18:34:18.000Z | Python/zzz_training_challenge/UdemyPythonPro/Chapter10_Cython/1_VectorND/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/UdemyPythonPro/Chapter10_Cython/1_VectorND/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | 9 | 2020-09-26T19:29:28.000Z | 2022-02-07T06:41:00.000Z | from .vector import VectorND
| 14.5 | 28 | 0.827586 |
2e7899dca03361da805eb1493d2c8251b26db84a | 1,303 | py | Python | year_2/prog_base_sem1/lab3/jsonreader.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | year_2/prog_base_sem1/lab3/jsonreader.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | 21 | 2020-03-24T16:26:04.000Z | 2022-02-18T15:56:16.000Z | year_2/prog_base_sem1/lab3/jsonreader.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | from os import getcwd
import json
class JsonReader:
"""Class for reading and writing posts from/to .json file."""
# TODO: setPost, delPost, addPost
def __init__(self):
self.json_path = getcwd() + '/data/data.json'
# Get posts from JSON and save them as a dictionary.
self._posts_d... | 31.780488 | 90 | 0.608596 |
cf2886baf4918413897ad8e831ce5c8eab607214 | 27,793 | py | Python | myems-aggregation/space_energy_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 82 | 2021-02-19T10:24:31.000Z | 2022-03-28T06:30:18.000Z | myems-aggregation/space_energy_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 188 | 2021-02-22T07:08:30.000Z | 2022-03-02T04:11:03.000Z | myems-aggregation/space_energy_output_category.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 54 | 2021-02-19T08:48:46.000Z | 2022-03-30T06:21:34.000Z | import time
from datetime import datetime, timedelta
from decimal import Decimal
import mysql.connector
from multiprocessing import Pool
import random
import config
########################################################################################################################
# PROCEDURES
# Step 1: get all s... | 51.949533 | 120 | 0.529774 |
51ab1e4e1a238c16a43d67e2e14c0b8f9c90021c | 6,126 | py | Python | official_examples/Reinforcement_Learning_GameSolution_Examples/vizdoom/async_multi/game_interface.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/async_multi/game_interface.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/async_multi/game_interface.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | import os
import time
from multiprocessing import Process, Queue
from random import random
from time import sleep
import numpy as np
import skimage.color
import skimage.transform
from vizdoom import *
class GameInterface():
def __init__(self, *args):
# Create Doom instance
print("Initializing doo... | 35.616279 | 115 | 0.572641 |
5c5e8d4a00a1a455e12ff2b9e4760a46e9e50642 | 18,922 | py | Python | tests/onegov/search/test_indexer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/search/test_indexer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/search/test_indexer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import logging
import pytest
from datetime import datetime
from onegov.search import Searchable, SearchOfflineError, utils
from onegov.search.indexer import parse_index_name
from onegov.search.indexer import (
Indexer,
IndexManager,
ORMEventTranslator,
TypeMapping,
TypeMappingRegistry
)
from queue ... | 26.280556 | 77 | 0.538685 |
8f97afbee3a15100838e284bd0047ee5b056180b | 560 | py | Python | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingLinReg.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingLinReg.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter9_AdvancedDL/Chapter9_5_RegressionProblems/taxiRoutingLinReg.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | import os
from sklearn.linear_model import LinearRegression
from tf_utils.taxiRoutingData import TAXIROUTING
EXCEL_FILE_PATH = os.path.abspath("C:/Users/Jan/Dropbox/_Programmieren/UdemyTF/data/taxiDataset.xlsx")
if __name__ == "__main__":
data = TAXIROUTING(excel_file_path=EXCEL_FILE_PATH)
x_train, y_tra... | 24.347826 | 102 | 0.757143 |
85a5673910258f144222fe87fa7be3f19cdfa705 | 2,329 | py | Python | bp-revok/python/lib/python2.7/site-packages/netlib/test.py | fkolacek/FIT-VUT | bb6f7f6eb1fea1f13952e0ab463e5aa69a84084c | [
"Apache-2.0"
] | null | null | null | bp-revok/python/lib/python2.7/site-packages/netlib/test.py | fkolacek/FIT-VUT | bb6f7f6eb1fea1f13952e0ab463e5aa69a84084c | [
"Apache-2.0"
] | null | null | null | bp-revok/python/lib/python2.7/site-packages/netlib/test.py | fkolacek/FIT-VUT | bb6f7f6eb1fea1f13952e0ab463e5aa69a84084c | [
"Apache-2.0"
] | 3 | 2017-04-07T12:02:22.000Z | 2020-03-23T12:11:55.000Z | import threading, Queue, cStringIO
import tcp, certutils
class ServerThread(threading.Thread):
def __init__(self, server):
self.server = server
threading.Thread.__init__(self)
def run(self):
self.server.serve_forever()
def shutdown(self):
self.server.shutdown()
class Ser... | 28.402439 | 75 | 0.574066 |
74fe4bf214f87aa40334741cb9924e9eba9870d2 | 375 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/29. return the letter added to string.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/29. return the letter added to string.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/29. return the letter added to string.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Given two strings s and t. String t is generated by shuffling string s and then adding one more letter at a random position.
Return the letter that was added to t.
Example:
s = 'Python'
t = 'thnobPy'
Expected output = 'b'
"""
def new_letter(s,t):
new = ""
for i in t:
if i in s:
pas... | 17.045455 | 125 | 0.589333 |
24eb06d4a6e1139d0e572a794154d48f364c5e50 | 10,413 | py | Python | Woche 5/utils.py | manfred-l-stark/AMALEA | c4ea976d7e4a42520ef92e8a394ce60a48b681f9 | [
"CC0-1.0",
"CC-BY-4.0"
] | 1 | 2021-09-30T19:53:52.000Z | 2021-09-30T19:53:52.000Z | Woche 5/utils.py | manfred-l-stark/AMALEA | c4ea976d7e4a42520ef92e8a394ce60a48b681f9 | [
"CC0-1.0",
"CC-BY-4.0"
] | null | null | null | Woche 5/utils.py | manfred-l-stark/AMALEA | c4ea976d7e4a42520ef92e8a394ce60a48b681f9 | [
"CC0-1.0",
"CC-BY-4.0"
] | 3 | 2021-09-29T13:03:07.000Z | 2022-03-02T12:21:05.000Z | import glob
import os
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
import keras
from keras import backend as K
from keras.layers import UpSampling2D
from keras.layers import Conv2DTranspose
from keras.layers import Input, BatchNormalization
from keras.models import Model
rgb_array = np.l... | 30.008646 | 87 | 0.592817 |
560d016248fc460fc8c23fb0638162a9ba09be3a | 2,013 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/solutions/ex01_number_conversions.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/solutions/ex01_number_conversions.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/solutions/ex01_number_conversions.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def is_binary_number(number):
is_binary = True
i = 0
while i < len(number) and is_binary:
current_char = number[i]
is_binary = (current_char == "0" or current_char == "1")
i += 1
return is... | 20.333333 | 64 | 0.631396 |
562bf19e595983f32c6ce2e6b23819920f835b35 | 4,855 | py | Python | 3rdparty/webkit/Source/ThirdParty/ANGLE/src/libANGLE/gen_packed_gl_enums.py | mchiasson/PhaserNative | f867454602c395484bf730a7c43b9c586c102ac2 | [
"MIT"
] | null | null | null | 3rdparty/webkit/Source/ThirdParty/ANGLE/src/libANGLE/gen_packed_gl_enums.py | mchiasson/PhaserNative | f867454602c395484bf730a7c43b9c586c102ac2 | [
"MIT"
] | null | null | null | 3rdparty/webkit/Source/ThirdParty/ANGLE/src/libANGLE/gen_packed_gl_enums.py | mchiasson/PhaserNative | f867454602c395484bf730a7c43b9c586c102ac2 | [
"MIT"
] | 1 | 2019-01-25T13:55:25.000Z | 2019-01-25T13:55:25.000Z | # Copyright 2016 The ANGLE Project Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# gen_packed_gl_enums.py:
# Code generation for the packed GL enums.
import datetime, json, os, sys
from collections import namedtuple
Enum = namedt... | 27.429379 | 106 | 0.66035 |
5644f072a7fe658ef5909e6b344106b0f878d8a5 | 913 | py | Python | v302/python/fehler.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | v308_1/python/fehler.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | v308_1/python/fehler.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import sympy
import numpy as np
def error(f, err_vars=None):
from sympy import Symbol, latex
s = 0
latex_names = dict()
if err_vars is None:
err_vars = f.free_symbols
for v in err_vars:
err = Symbol('latex_std_' + v.name)
s += f.diff(v)**2 * err**2
latex_names[err... | 17.557692 | 57 | 0.600219 |
3b63a418f916f818ca8d22a4415307831114faff | 1,835 | py | Python | Versuch3/task1.3.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch3/task1.3.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch3/task1.3.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | 1 | 2022-01-06T12:47:53.000Z | 2022-01-06T12:47:53.000Z | import matplotlib.pyplot as plt
import numpy as np
# Einlesen der .csv Datei
data = np.genfromtxt('data/eins.csv', delimiter=',', skip_header=0, skip_footer=0)
# 2 Zeilen aus der linken Spalte in time schreiben
time = data[:2, 0]
# Der zweite Wert wird absolut minus den ersten absoluten wert gerechnet um später den We... | 37.44898 | 103 | 0.73951 |
3b68e22269aad6365e23c3a268d7b1f4c6f46642 | 601 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_1/set_prefered_contact_email.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v7_1/set_prefered_contact_email.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_1/set_prefered_contact_email.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import frappe
def execute():
frappe.reload_doctype('User')
for d in frappe.get_all("Employee"):
employee = frappe.get_doc("Employee", d.name)
if employee.company_email:
employee.prefered_contact_email = "Company Email"
employee.prefered_email = employee.company_email... | 33.388889 | 53 | 0.787022 |
8edc6cb8713f68d4079f0e7a892f4c967b1e2732 | 7,416 | py | Python | backend/apps/iamstudent/filters.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 2 | 2020-03-28T13:56:39.000Z | 2020-03-29T10:16:12.000Z | backend/apps/iamstudent/filters.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 76 | 2020-03-27T21:53:04.000Z | 2020-03-30T20:27:43.000Z | backend/apps/iamstudent/filters.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | null | null | null | import django.forms as forms
from django.utils.translation import gettext_lazy as _
import django_filters as filters
from .forms import get_form_helper_filter
from .models import AUSBILDUNGS_TYPEN_COLUMNS, BEZAHLUNG_CHOICES_Filter, Student
class StudentJobRequirementsFilter(filters.FilterSet):
ausbildung_typ_me... | 39.870968 | 99 | 0.671656 |
c65736ef97768f54a6b65b1b01f4af638c8fb4d9 | 409 | py | Python | etl/data_extraction/scrapers/gutetat_hamburg.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 7 | 2020-04-23T20:16:11.000Z | 2022-01-04T14:57:16.000Z | etl/data_extraction/scrapers/gutetat_hamburg.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 361 | 2020-04-23T17:20:14.000Z | 2022-03-02T11:29:45.000Z | etl/data_extraction/scrapers/gutetat_hamburg.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 1 | 2021-11-29T06:02:52.000Z | 2021-11-29T06:02:52.000Z | from data_extraction.scraper import Scraper
from scrapers.gutetat_berlin import GuteTatBerlinScraper
class GuteTatHamburgScraper(GuteTatBerlinScraper, Scraper):
"""Scrapes the website gute-tat.de for the region hamburg."""
def __init__(self, name):
"""Constructor of GuteTatHamburgScraper."""
... | 27.266667 | 65 | 0.718826 |
034d67efdfd697eccd3d09a6485476763a252375 | 573 | py | Python | leetcode/064-Minimum-Path-Sum/MinPathSum_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/064-Minimum-Path-Sum/MinPathSum_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/064-Minimum-Path-Sum/MinPathSum_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param grid, a list of lists of integers
# @return an integer
def minPathSum(self, grid):
m = len(grid)
n = len(grid[0])
M = [[0 for x in range(n)] for x in range(m)]
M[0][0] = grid[0][0]
for i in range(1, m):
M[i][0] = grid[i][0] + M[i... | 26.045455 | 68 | 0.420593 |
065553622e20ecb30d788c2e9b1740aa18fd53d8 | 1,154 | py | Python | loesungen/IT-Handbuch-Prog-Loesungen/kapitel_09/measures.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | null | null | null | loesungen/IT-Handbuch-Prog-Loesungen/kapitel_09/measures.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | null | null | null | loesungen/IT-Handbuch-Prog-Loesungen/kapitel_09/measures.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | null | null | null | import re
"""
measure_map ist ein Dictionary, das den Umrechnungsfaktor
der jeweiligen Maßeinheit in mm enthält.
Indem der Wert zunächst mit dem Umrechnungsfaktor der
Quelleinheit multipliziert und dann durch den Faktor der
Zieleinheit dividiert wird, wird jeder Wert zunächst in mm
und anschließend in die gewünschte E... | 31.189189 | 76 | 0.640381 |
cc42ab66f72851202480f4024b5789dfbad77234 | 2,004 | py | Python | etl/transforms/primitives/df/derive.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/transforms/primitives/df/derive.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/transforms/primitives/df/derive.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import logging
import etl.transforms.primitives.row.transform as transform
def combine(df, new_fid, list_of_fids, keep_originals=True):
to_change = df['fid'].isin(list_of_fids)
if keep_originals:
new_features = df[to_change].assign(fid = new_fid)
df = df.append(new_features)
else:
d... | 33.4 | 96 | 0.592814 |
9d6eb89fb6d117beb0809c55810b62c916fafeba | 681 | py | Python | hello/hello_cv.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2017-10-23T14:58:47.000Z | 2017-10-23T14:58:47.000Z | hello/hello_cv.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | null | null | null | hello/hello_cv.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2018-04-06T07:49:18.000Z | 2018-04-06T07:49:18.000Z |
import cv2
print((cv2.__file__))
from SimpleCV import Image, Color, time
img = cv2.imread('watch.jpg', cv2.COLOR_GRAY2RGB)
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
car_in_lot = Image("parking-car.png")
car_not_in_lot = Image("parking-no-car.png")
car = car_in_lot.crop(470, 200, 200, 200)
ca... | 18.916667 | 49 | 0.745962 |
31f6ca70bf305a8376211aa564fb4b674133bfa5 | 5,548 | py | Python | evaluation/face_recognition/model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null | evaluation/face_recognition/model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | 5 | 2021-03-19T14:21:08.000Z | 2022-03-12T00:42:00.000Z | evaluation/face_recognition/model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null |
from __future__ import print_function, division
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
import matplotlib.pyplot as plt
import time
import os
import copy
from PIL impo... | 38.262069 | 132 | 0.613915 |
ee91affa6f5021413722006645f5b5f7e28205bd | 5,689 | py | Python | pyntcloud/geometry/coord_systems.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/geometry/coord_systems.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/geometry/coord_systems.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | import numpy as np
def spherical_to_cartesian(r, theta, phi, degrees=True):
"""
Convert spherical coordinates (r, theta, phi) to cartesian (x, y, z).
Parameters
----------
r: (N,) ndarray
Radial distance.
theta: (N,) ndarray
Azimuthal angle.
phi: (N,) ndarray
Polar... | 23.126016 | 94 | 0.590789 |
ee91ccc2f1c0c990468fc5e47f9a37da15f88d50 | 392 | py | Python | SiteGadget-main/modules/PortScan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | SiteGadget-main/modules/PortScan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | SiteGadget-main/modules/PortScan.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import requests
from bs4 import BeautifulSoup
from insides.Colors import Colors
def PortScan(getip, _verbose=None):
if _verbose != None:
try:
u = ("https://api.hackertarget.com/nmap/?q="+getip)
response = requests.get(u)
report = response.content
soup = BeautifulSoup(report, 'html.parser')
print(str(... | 28 | 55 | 0.711735 |
4e5af4ba55f101878efc6f73857334e7cf7b7bd4 | 50 | py | Python | code/motor/stop.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/motor/stop.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/motor/stop.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | import brickpi3
from movement import stop
stop()
| 10 | 25 | 0.8 |
0951e94a96107a296d1168b45e8a8af9aa30099c | 727 | py | Python | nz_crawl_demo/day1/python2/demo3.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day1/python2/demo3.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day1/python2/demo3.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | #encoding:utf-8
# import sys
# print sys.version 打印python的版本
import urllib2
import urllib
def baidu(params):
url = "https://www.baidu.com/s?" + params
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.132 Safari/537.36",
}... | 22.71875 | 140 | 0.651994 |
11764d5ce27e8f7d016533ff2f93e3840c41f783 | 11,208 | py | Python | Buchstabenraetsel_Summen.py | UlrichBerntien/Uebungen-Python | 67e6d885dd2319e999979410448364ec4d59dc51 | [
"Apache-2.0"
] | null | null | null | Buchstabenraetsel_Summen.py | UlrichBerntien/Uebungen-Python | 67e6d885dd2319e999979410448364ec4d59dc51 | [
"Apache-2.0"
] | null | null | null | Buchstabenraetsel_Summen.py | UlrichBerntien/Uebungen-Python | 67e6d885dd2319e999979410448364ec4d59dc51 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Buchstabenrätsel Summen
https://www.programmieraufgaben.ch/aufgabe/buchstabenraetsel-summen/mtt2cuwo
"""
# Programmieraufgabe:
# Schreiben Sie ein Programm, das Symbolrätsel der folgenden Art (Summen)
# löst:
# aab + bbc = dde.
# Dabei bedeuten gl... | 36.990099 | 115 | 0.657566 |
6de09ae5cc02fafe468c202b636eed35317690eb | 2,391 | py | Python | uniprot_xml_pull_parser.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | uniprot_xml_pull_parser.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | uniprot_xml_pull_parser.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#Parse uniprot xml, find all entries with tax id.
import sys
from xml.etree.ElementTree import iterparse, XMLParser
def main():
# file = 'uniprot_test.xml'
file = sys.argv[1]
taxid = sys.argv[2] # NCBI taxonomy id Stentor coeruleus 5963
parser = XMLParser()
context = iterparse(file, ev... | 29.518519 | 69 | 0.584693 |
110d394e686996ad620d43bec1255874cdc8fc10 | 6,509 | py | Python | lib/tika-import.py | docfetcher/DocFetcher | 42f2accd840edc5059060447ed3536aa4d54b5d3 | [
"Apache-2.0"
] | 24 | 2018-07-22T13:02:53.000Z | 2022-02-02T16:45:29.000Z | lib/tika-import.py | docfetcher/DocFetcher | 42f2accd840edc5059060447ed3536aa4d54b5d3 | [
"Apache-2.0"
] | null | null | null | lib/tika-import.py | docfetcher/DocFetcher | 42f2accd840edc5059060447ed3536aa4d54b5d3 | [
"Apache-2.0"
] | 5 | 2018-12-29T10:38:03.000Z | 2021-02-06T15:29:03.000Z | #!/usr/bin/python
import sys, os.path as osp, shutil, os
"""
This script copies some of Tika's source files into the DocFetcher source
directory, with some minor processing along the way. Tested with Tika 1.13;
newer Tika versions may require updating this script.
How to use: Run this script with source and destinat... | 32.708543 | 90 | 0.69811 |
112f1ea490a2b23e19fd81dfd36e766fd93813e6 | 336 | py | Python | blog/meta.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2019-01-29T15:57:20.000Z | 2019-01-29T15:57:20.000Z | blog/meta.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2018-05-05T19:43:28.000Z | 2018-05-05T19:43:28.000Z | blog/meta.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2018-04-24T09:36:57.000Z | 2018-04-24T09:36:57.000Z | site_author = "Lucas Hild"
site_title = "Lucas Blog"
site_subtitle = "Softwareentwicklung"
site_full_title = site_title + " - " + site_subtitle
site_url = "https://blog.lucas-hild.de"
site_description = (
"Auf dem Blog von Lucas Hild findest Du Artikel über Softwareentwicklung mit Python, "
"JavaScript und dem ... | 33.6 | 90 | 0.744048 |
aaebd6d05f813d14acd538707824f95d797a84db | 2,905 | py | Python | _scripts/zotero_to_yml.py | GCCR/GCCR.github.io | 9400e64ee1eb618bfaeaf7a1c927a04165db191b | [
"MIT"
] | 5 | 2020-03-27T20:01:18.000Z | 2021-06-06T12:41:20.000Z | _scripts/zotero_to_yml.py | GCCR/GCCR.github.io | 9400e64ee1eb618bfaeaf7a1c927a04165db191b | [
"MIT"
] | 39 | 2020-04-01T23:55:10.000Z | 2022-02-26T07:09:57.000Z | _scripts/zotero_to_yml.py | GCCR/GCCR.github.io | 9400e64ee1eb618bfaeaf7a1c927a04165db191b | [
"MIT"
] | 3 | 2020-03-29T16:06:02.000Z | 2020-04-07T19:23:37.000Z | #!/usr/bin/env python
from pyzotero import zotero
import yaml
import re
import os
from datetime import datetime
COVID = re.compile(r'\bcovid|\bcoronavirus\b|\bsars\b')
SMELL = re.compile(r'\bolfact|\bsmell\b|osmia\b')
TASTE = re.compile(r'\bgustat|\btaste\b|geusia\b')
CASE_REPORT = re.compile(r'\bcase\-?report\b')
V... | 31.923077 | 107 | 0.6 |
c9338520749d7188d93ebb1cb9f007a07a6ee247 | 425 | py | Python | Chapter2_Python/Classes.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter2_Python/Classes.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | Chapter2_Python/Classes.py | derfabs/UdemyGAN_Template | 1c7d263d22ccf1ba580c71befe71e3bf6e2facb6 | [
"MIT"
] | null | null | null | class Game:
def __init__(self):
self.bin_ich_pleite = False
self.kontostand = 10
def play_game(self):
while self.bin_ich_pleite is False:
print("Ich bin nicht pleite!", self.kontostand)
self.kontostand -= 1
if self.kontostand <= 0:
sel... | 22.368421 | 59 | 0.604706 |
a3315241e9f69c1efd1ee14c1bb0b7526d99cdae | 370 | py | Python | presentations/django/code/quotemanager/quotes/serializers.py | ErikMayrhofer/presentations | a2a8786061167778d8c46ddf06799877a2552e28 | [
"MIT"
] | null | null | null | presentations/django/code/quotemanager/quotes/serializers.py | ErikMayrhofer/presentations | a2a8786061167778d8c46ddf06799877a2552e28 | [
"MIT"
] | null | null | null | presentations/django/code/quotemanager/quotes/serializers.py | ErikMayrhofer/presentations | a2a8786061167778d8c46ddf06799877a2552e28 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from .models import Quote, Person
class QuoteSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Quote
fields = ('id', 'url', 'text', 'person')
class PersonSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
mode... | 23.125 | 63 | 0.681081 |
42d6b02a5f297c71200a4088aabdd0cc577f0669 | 27,098 | py | Python | tests/test_effect.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | tests/test_effect.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | tests/test_effect.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | import asyncio
import datetime
from contextlib import ExitStack
from datetime import timedelta
from subprocess import CalledProcessError
from unittest import mock
import aiohttp
import asynctest
import pytest
from hypothesis import assume, given, settings
from pfun import (DefaultModules, Dict, Immutable, List, clock... | 33.086691 | 79 | 0.578235 |
6e0087d528a572ff40b44a6aaf4fc9bfe7125476 | 15,437 | py | Python | skil/models.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 23 | 2018-09-19T13:34:27.000Z | 2022-02-14T09:49:35.000Z | skil/models.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 33 | 2018-10-18T07:58:05.000Z | 2019-05-16T08:24:12.000Z | skil/models.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 11 | 2018-10-21T18:58:57.000Z | 2022-02-14T09:49:36.000Z | import skil
from skil.services import *
from skil import Skil
from skil.workspaces import get_workspace_by_id
from skil.experiments import get_experiment_by_id
from skil.utils.io import serialize_config, deserialize_config
import skil_client
from skil_client.rest import ApiException as api_exception
import time
import... | 40.305483 | 104 | 0.593639 |
66976ecb441c5f2e261e967923931a5c18bad63c | 405 | py | Python | etl/data_extraction/scrapers/gutetat_munich.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 7 | 2020-04-23T20:16:11.000Z | 2022-01-04T14:57:16.000Z | etl/data_extraction/scrapers/gutetat_munich.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 361 | 2020-04-23T17:20:14.000Z | 2022-03-02T11:29:45.000Z | etl/data_extraction/scrapers/gutetat_munich.py | Betadinho/einander-helfen | 272f11397d80ab5267f39a7b36734495f1c00b0c | [
"MIT"
] | 1 | 2021-11-29T06:02:52.000Z | 2021-11-29T06:02:52.000Z | from data_extraction.scraper import Scraper
from scrapers.gutetat_berlin import GuteTatBerlinScraper
class GuteTatMunichScraper(GuteTatBerlinScraper, Scraper):
"""Scrapes the website gute-tat.de for the region munich."""
def __init__(self, name):
"""Constructor of GuteTatMunichScraper."""
su... | 27 | 64 | 0.716049 |
66d190caf58947e63d0e5772ccd018bbab615c20 | 1,112 | py | Python | LIT/2021/crypto/Filter_Collector/filter_collector.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | LIT/2021/crypto/Filter_Collector/filter_collector.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | LIT/2021/crypto/Filter_Collector/filter_collector.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from Crypto.Util.number import getPrime
import random
import math
import cmath
Welcome = "Instagram filters are fun, aren't they?"
print(Welcome);
flag = int(open('flag.txt','rb').read().hex(),16);
k = 7
p = int(input("Input your favorite mod: "));
assert(p * p < flag);
# Divides tot randomly into... | 23.166667 | 68 | 0.647482 |
dd8d6abc6fb88dbd32bdefc1b38a1fcdbfc173d0 | 4,340 | py | Python | python_experiments/paper_figures/tkde/tkde_draw_varying_delta_e.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/paper_figures/tkde/tkde_draw_varying_delta_e.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/paper_figures/tkde/tkde_draw_varying_delta_e.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | import os
import matplotlib
import numpy as np
matplotlib.use("pdf")
import matplotlib.pyplot as plt
from paper_figures.legacy.experimental_config import *
from paper_figures.tkde.data_legacy.static_data_loader import *
from paper_figures.tkde.tkde_get_static_reads_time import *
insert_tag = 'ins'
delete_tag = 'del... | 40.943396 | 108 | 0.652995 |
b0c8d610cca537818212416ff9b4e2e416a36321 | 1,798 | py | Python | indl/data/helper.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | 1 | 2021-02-22T01:39:50.000Z | 2021-02-22T01:39:50.000Z | indl/data/helper.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | indl/data/helper.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | __all__ = ['get_tf_dataset']
import tensorflow as tf
from functools import partial
from .augmentations import *
def get_tf_dataset(X, Y, training=True, batch_size=8, max_offset=0, slice_ax=1):
"""
Convert a pair of tf tensors into a tf.data.Dataset with some augmentations.
The added augmentations are:
... | 34.576923 | 115 | 0.684093 |
c69d8b8e2a8174d55b2b6cf49913e1a449da292e | 7,381 | py | Python | notebooks_and_scripts/graph_miner/repositories/models/parse_string.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | notebooks_and_scripts/graph_miner/repositories/models/parse_string.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | notebooks_and_scripts/graph_miner/repositories/models/parse_string.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | """Submodule with methods to parse and standardize STRING graphs."""
import pandas as pd
import os
def parse_string_fasta(path: str) -> pd.DataFrame:
"""Return dataframe with aminoacid fasta sequences from given path.
Parameters
-----------------------
path: str
Path to the fasta file to load... | 30.626556 | 112 | 0.633383 |
c6c9c38da7bb9268b8a6168849bd86f4d05f1957 | 6,115 | py | Python | src/onegov/election_day/utils/election/connections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/utils/election/connections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/utils/election/connections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from collections import OrderedDict
from itertools import groupby
from sqlalchemy import select
from onegov.ballot import List
from onegov.ballot import ListConnection
from onegov.core.orm import as_selectable_from_path
from onegov.core.utils import groupbylist, module_path
from onegov.election_day.utils.common impor... | 32.700535 | 78 | 0.592968 |
c6f6b31ef03b7757ea6d14a20dc36a3c06fd2cbd | 3,323 | py | Python | Striker-master/core/photon.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | Striker-master/core/photon.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | Striker-master/core/photon.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import re
import concurrent.futures
from urllib.parse import urlparse
from core.colors import run
from core.utils import getUrl, getParams, js_extractor, script_extractor, handle_anchor
from core.requester import requester
from core.zetanize import zetanize
from modules.retirejs import retirejs
from modules.wappalyze... | 40.036145 | 94 | 0.620825 |
af520a11b24ca55315a43c6fa421965f2ad61b1a | 2,988 | py | Python | src/data_science/data_science/plot/color.py | viclule/api_models_deployment_framework | 7595cf0b4f3e277925b968014102d7561547bcd4 | [
"MIT"
] | null | null | null | src/data_science/data_science/plot/color.py | viclule/api_models_deployment_framework | 7595cf0b4f3e277925b968014102d7561547bcd4 | [
"MIT"
] | null | null | null | src/data_science/data_science/plot/color.py | viclule/api_models_deployment_framework | 7595cf0b4f3e277925b968014102d7561547bcd4 | [
"MIT"
] | null | null | null | """
Generates colors in a sequenced manner.
"""
import matplotlib.pyplot as plt
from cycler import cycler
import warnings
color_cycle = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black',
'brown', 'aqua', 'olive']
def set_color_cycle(sequence, ax):
if sequence == 0:
ax.set_pro... | 27.163636 | 77 | 0.549197 |
3cab477720574a8e1f25f6caa22344253d0e2792 | 5,292 | py | Python | hisim/postprocessing/chart_singleday.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 12 | 2021-10-05T11:38:24.000Z | 2022-03-25T09:56:08.000Z | hisim/postprocessing/chart_singleday.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 6 | 2021-10-06T13:27:55.000Z | 2022-03-10T12:55:15.000Z | hisim/postprocessing/chart_singleday.py | sdickler/HiSim | 09a11d99f220f7cadb3cb7b09a6fce8f147243c8 | [
"MIT"
] | 4 | 2022-02-21T19:00:50.000Z | 2022-03-22T11:01:38.000Z | import os
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter
from hisim.postprocessing.chartbase import Chart
class ChartSingleDay(Chart):
def __init__(self, output, data, units, directorypath, time_correction_factor, day=None, month=None, output2=None):
if output2 is not None:
... | 47.675676 | 119 | 0.533447 |
597335074052799b54f3b8ea5b595ab57d095147 | 1,562 | py | Python | Interview Preparation Kits/Interview Preparation Kit/Miscellaneous/Maximum XOR/max_xor2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/Miscellaneous/Maximum XOR/max_xor2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/Miscellaneous/Maximum XOR/max_xor2.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the maxXor function below.
class Node():
def __init__(self):
self.left = None
self.right = None
def insert(x, head):
current = head
for i in reversed(range(31)):
value = (x >> i) & 1
if val... | 20.826667 | 50 | 0.464789 |
aba8cdd32c0148eae4ebc8390f6bc3460fe63241 | 301 | py | Python | bolt/utils/colors.py | ph7vc/CL4M-B0T | e992cf63b1215ea7c241cab94edc251653dbaed7 | [
"MIT"
] | 9 | 2019-02-17T06:33:14.000Z | 2021-10-05T02:19:00.000Z | bolt/utils/colors.py | ns-phennessy/Bolt | e992cf63b1215ea7c241cab94edc251653dbaed7 | [
"MIT"
] | 28 | 2019-02-10T07:48:05.000Z | 2021-12-20T00:15:37.000Z | bolt/utils/colors.py | ph7vc/CL4M-B0T | e992cf63b1215ea7c241cab94edc251653dbaed7 | [
"MIT"
] | 4 | 2015-03-13T03:58:55.000Z | 2015-05-27T08:29:46.000Z | class Colors():
INFO = int("7289da", 16)
WARNING = int("fdff5d", 16)
ERROR = int("faa61a", 16)
CRITICAL = int("f04747", 16)
GREEN = int("43b581", 16)
BLUE = int("7289da", 16)
YELLOW = int("fdff5d", 16)
ORANGE = int("faa61a", 16)
RED = int("f04747", 16)
| 25.083333 | 33 | 0.524917 |
e6008815f1c90e0ce71e2cc93c53ee5a9c4c3c6b | 6,892 | py | Python | Webpage/arbeitsstunden/management/commands/utils/csv.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | Webpage/arbeitsstunden/management/commands/utils/csv.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | 46 | 2022-01-08T12:03:24.000Z | 2022-03-30T08:51:05.000Z | Webpage/arbeitsstunden/management/commands/utils/csv.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
from typing import Match
from arbeitsstunden.management.commands.utils.data import reduction
from arbeitsstunden.management.commands.utils.data import member, project, project_item, project_item_hour, season, user, Nutzer
from arbeitsstunden.management.commands.utils.import_functions import Ar... | 33.134615 | 151 | 0.564858 |
05086b81671809bb02a671138b4ce952e206c730 | 4,817 | py | Python | src/config_db/tests/test_deploy.py | rtobar/sdp-prototype | 9f1527b884bf80daa509a7fe3722160c77260f4f | [
"BSD-3-Clause"
] | 2 | 2019-07-15T09:49:34.000Z | 2019-10-14T16:04:17.000Z | src/config_db/tests/test_deploy.py | rtobar/sdp-prototype | 9f1527b884bf80daa509a7fe3722160c77260f4f | [
"BSD-3-Clause"
] | 17 | 2019-07-15T14:51:50.000Z | 2021-06-02T00:29:43.000Z | src/config_db/tests/test_deploy.py | ska-telescope/sdp-configuration-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 1 | 2019-10-10T08:16:48.000Z | 2019-10-10T08:16:48.000Z | """High-level API tests for deployments."""
import os
import time
import yaml
import pytest
import kubernetes
from ska_sdp_config import config, entity
# pylint: disable=missing-docstring,redefined-outer-name
PREFIX = "/__test_deploy"
# pylint: disable=W0212
@pytest.fixture(scope="session")
def cfg():
host = o... | 28.672619 | 78 | 0.631929 |
e973bdf444cc4cd622998f2063918b10a0d073bc | 1,191 | py | Python | myems-modbus-tcp/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 82 | 2021-02-19T10:24:31.000Z | 2022-03-28T06:30:18.000Z | myems-modbus-tcp/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 188 | 2021-02-22T07:08:30.000Z | 2022-03-02T04:11:03.000Z | myems-modbus-tcp/config.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 54 | 2021-02-19T08:48:46.000Z | 2022-03-30T06:21:34.000Z | from decouple import config
myems_system_db = {
'host': config('MYEMS_SYSTEM_DB_HOST', default='127.0.0.1'),
'port': config('MYEMS_SYSTEM_DB_PORT', default=3306, cast=int),
'database': config('MYEMS_SYSTEM_DB_DATABASE', default='myems_system_db'),
'user': config('MYEMS_SYSTEM_DB_USER', default='root')... | 39.7 | 86 | 0.730479 |
e9a99b08f935009a7748630c36a8cb674c0a3c2a | 1,795 | py | Python | stutensee-corona.py | weisserd/CoronaStutensee | c39f8e3bab69d3a96cce51a83b5f80ed8a317805 | [
"MIT"
] | 2 | 2021-06-17T13:23:58.000Z | 2021-06-17T14:48:21.000Z | stutensee-corona.py | weisserd/CoronaStutensee | c39f8e3bab69d3a96cce51a83b5f80ed8a317805 | [
"MIT"
] | 5 | 2021-06-14T22:08:36.000Z | 2021-07-07T15:41:48.000Z | stutensee-corona.py | weisserd/corona-stutensee | c44a06c63fe19390f606f90e5b7067bc1e0cf1e8 | [
"MIT"
] | null | null | null | import pandas as pd
import requests
import tabula
from bs4 import BeautifulSoup
from datetime import datetime
from pathlib import Path
# Load CSV
df = pd.read_csv('daten.csv')
df['Datum'] = df['Datum'].apply(pd.to_datetime)
# Get new data
soup = BeautifulSoup(requests.get('https://corona.karlsruhe.de/aktuelle-fallzah... | 35.9 | 108 | 0.664067 |
75cb49b7123c7151e25550d28fd7de8c6ed0d226 | 278 | py | Python | 1877-minimize-maximum-pair-sum-in-array/1877-minimize-maximum-pair-sum-in-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 1877-minimize-maximum-pair-sum-in-array/1877-minimize-maximum-pair-sum-in-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 1877-minimize-maximum-pair-sum-in-array/1877-minimize-maximum-pair-sum-in-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def minPairSum(self, nums: List[int]) -> int:
snum = sorted(nums)
_max = snum.pop(0)+snum.pop(-1)
while(snum):
cur = snum.pop(0)+snum.pop(-1)
if cur>_max:
_max = cur
return _max
| 27.8 | 49 | 0.47482 |
9b88a065b39b271d95841f987dd77b8f861297f9 | 4,215 | py | Python | src/onegov/core/browser_session.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/browser_session.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/browser_session.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from contextlib import suppress
from dogpile.cache.api import NO_VALUE
from hashlib import blake2b
class Prefixed(object):
def __init__(self, prefix, cache):
assert len(prefix) >= 24
self.prefix = prefix
self.cache = cache
def mangle(self, key):
assert key
return f'{... | 28.1 | 78 | 0.616607 |
1fdc97292e34c3f5ea88e1e506d2ce920ee10bd8 | 17,165 | py | Python | webinterface/forms.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 2 | 2021-11-28T23:04:00.000Z | 2022-01-13T19:47:45.000Z | webinterface/forms.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 25 | 2020-03-29T14:40:46.000Z | 2021-09-22T17:37:15.000Z | webinterface/forms.py | monoclecat/cleaning-schedule-management-system | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 1 | 2020-07-04T11:42:17.000Z | 2020-07-04T11:42:17.000Z | from django import forms
from .models import *
from crispy_forms.helper import FormHelper
from crispy_forms.layout import *
from django.contrib.auth.forms import AuthenticationForm
def html_alert_banner(content: str, alert_level='info'):
return HTML("<div class=\"alert alert-{}\" role=\"alert\">{}</div>".format(... | 45.052493 | 120 | 0.620682 |
2f30b4ff3df5989c06a92dd9810526df16039bc5 | 1,557 | py | Python | geol/feature_extraction/embeddings.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 8 | 2018-03-09T16:44:38.000Z | 2021-04-07T11:33:30.000Z | geol/feature_extraction/embeddings.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 4 | 2020-03-24T15:34:54.000Z | 2021-06-01T21:54:33.000Z | geol/feature_extraction/embeddings.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>
from geol.feature_extraction.base import FeatureGenerator
from geol.utils import utils
import pandas as pd
import gensim
class Embeddings(FeatureGenerator):
def __init__(self, pois):
FeatureGenerator.__init__(pois)
... | 27.803571 | 67 | 0.524085 |
7b41dad960f8ff92ded46bb4eb6a31cce28631b0 | 2,179 | py | Python | top/clearlight/base/bilibili/mooc/re_test_01.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | 1 | 2020-01-16T09:23:43.000Z | 2020-01-16T09:23:43.000Z | top/clearlight/base/bilibili/mooc/re_test_01.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | null | null | null | top/clearlight/base/bilibili/mooc/re_test_01.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | null | null | null | import re
# re.search: 在一个字符串中搜索匹配正则表达式的第一个位置
match = re.search(r'[1-9]\d{5}', 'BIT 100032 132103 12043')
if match:
print(match.group(0))
print(match)
# re.match: 从一个字符串的开始位置起匹配正则表达式
match = re.match(r'[1-9]\d{5}', '123042BIT 100032 132103 12043')
if match:
print(match.group(0))
# re.findall: 搜索字符串, 以列表类型返回... | 27.2375 | 169 | 0.655346 |
c8c0a490fb4c47f88f42427f98ea39381777265a | 3,317 | py | Python | tests/unit/providers/common/inbound_filter_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | tests/unit/providers/common/inbound_filter_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | tests/unit/providers/common/inbound_filter_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 36.855556 | 86 | 0.674103 |
a82b5b625bbaeaa72632456013c2a221bf894a94 | 4,606 | py | Python | scripts/building_repository.py | pratikkumar-jain/Twitter-Mining | 228a852f38b8ff8b8c9b86f270d4b530840696f7 | [
"MIT"
] | 1 | 2020-10-04T13:46:21.000Z | 2020-10-04T13:46:21.000Z | scripts/building_repository.py | pratikkumar-jain/Twitter-Mining | 228a852f38b8ff8b8c9b86f270d4b530840696f7 | [
"MIT"
] | null | null | null | scripts/building_repository.py | pratikkumar-jain/Twitter-Mining | 228a852f38b8ff8b8c9b86f270d4b530840696f7 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3
"""Script to build the repository from the extracted tweets."""
import json
import os
import shutil
import sys
from cassandra.cluster import Cluster
from cassandra.query import BatchStatement
from zipfile import ZipFile
def unzipTweets():
"""Unzip the compressed tweets."""
if not os... | 37.754098 | 78 | 0.477638 |
8d62613bad21a626874d679a8f7839a28204da00 | 159 | py | Python | sam_app/setup.py | csjy309450/SAM-Backend | a23569ea372f718ca4a167e21e8046336db00561 | [
"MIT"
] | null | null | null | sam_app/setup.py | csjy309450/SAM-Backend | a23569ea372f718ca4a167e21e8046336db00561 | [
"MIT"
] | null | null | null | sam_app/setup.py | csjy309450/SAM-Backend | a23569ea372f718ca4a167e21e8046336db00561 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(name='sam_app',
version='1.0.0',
py_modules=['sam_app'],
packages=find_packages()
)
| 19.875 | 43 | 0.641509 |
f58d93970c16a72031ace6344cd2ad149d65b836 | 1,251 | py | Python | autojail/utils/save_config.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/utils/save_config.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/utils/save_config.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | from ipaddress import IPv4Interface, IPv4Network, IPv6Interface, IPv6Network
from pathlib import Path
from typing import Optional
import ruamel.yaml
from ..model.datatypes import (
ByteSize,
ExpressionInt,
HexInt,
IntegerList,
JailhouseFlagList,
)
from ..model.jailhouse import JailhouseConfig
de... | 31.275 | 79 | 0.704237 |
8b8f56edf23f9a9ad8c99718e38da0b42b91a3c2 | 7,141 | py | Python | official/cv/openpose/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/openpose/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/openpose/train.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 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 in... | 43.278788 | 113 | 0.65327 |
473bf4dd60a16cc4717e71b2701614735f295ced | 1,170 | py | Python | python/p012.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 4 | 2018-11-14T12:03:05.000Z | 2019-09-03T14:33:28.000Z | python/p012.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | null | null | null | python/p012.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 1 | 2018-11-17T14:39:22.000Z | 2018-11-17T14:39:22.000Z | #!/usr/bin/python3
#-*- coding:utf-8 -*-
# author: mathm
# email: tlming16@fudan.edu.cn
from factor_pair import factor_pair
from is_prime import is_prime
class solution:
__slots__=('num')
def __init__(self,n:int):
self.num=n
def factor_num(self,num:int):
n=num
pair_n = fac... | 22.5 | 42 | 0.486325 |
47aa1471258820b18976da34a6ede0e41e2017ee | 6,513 | py | Python | frds/measures/func_dip.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 31 | 2020-06-17T13:19:12.000Z | 2022-03-27T08:56:38.000Z | frds/measures/func_dip.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | null | null | null | frds/measures/func_dip.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 8 | 2020-06-14T15:21:51.000Z | 2021-09-29T06:28:53.000Z | import math
from statistics import NormalDist
import numpy as np
from numpy.random import RandomState
def distress_insurance_premium(
default_prob: np.ndarray,
correlations: np.ndarray,
default_threshold: float = 0.15,
random_seed: int = 0,
n_simulated_returns: int = 500_000,
n_simulations: in... | 47.889706 | 144 | 0.684938 |
47b57f8d35d6ac25504a37f18c7009d4c8fd5a1b | 293 | py | Python | fizzbuzz/fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | fizzbuzz/fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | fizzbuzz/fizzbuzz.py | tijeff/py-fizzbuzz | 1a42704fcdc190fd423291d8c76f7dcce9c5f884 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
__author__ = "JF Marronnier"
__project__ = "FizzBuzz"
class FizzBuzz:
def __init__(self):
pass
@classmethod
def say(cls, param):
return "FizzBuzz" if not param % 15 else "Fizz" if not param % 3 else "Buzz" if not param % 10 else str(param)
| 22.538462 | 118 | 0.648464 |
9a557e0d6e5900d9c775ba3b94c020ef7a26353a | 357 | py | Python | Online-Judges/DimikOJ/Python/27-armstrong-numbers.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/27-armstrong-numbers.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/27-armstrong-numbers.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | for _ in range(int(input())):
n = input()
main_n = int(n)
calculated_n = 0
n_of_len = len(n)
for i in range(n_of_len):
ok = int(n[i])
calculated_n = calculated_n + (ok ** 3)
if calculated_n == main_n:
print(main_n, "is an armstrong number!")
else:
print(m... | 27.461538 | 52 | 0.560224 |
d02d1c79b5e15fb59e6f4fa6c241167ecd8bcecf | 291 | py | Python | wetterstation/__main__.py | SvenPfiffner/Kinderuni2021 | 97e6f1148177c51951a95d88515b3b3008164759 | [
"MIT"
] | null | null | null | wetterstation/__main__.py | SvenPfiffner/Kinderuni2021 | 97e6f1148177c51951a95d88515b3b3008164759 | [
"MIT"
] | null | null | null | wetterstation/__main__.py | SvenPfiffner/Kinderuni2021 | 97e6f1148177c51951a95d88515b3b3008164759 | [
"MIT"
] | null | null | null | """
Author: Sven Pfiffner
Date: 06.07.2021
Einstiegspunkt des Programms. Wird "wetterstation"
über die Konsole ausgeführt, wird dieses script automatisch auf
den Code in lib/programm.py verweisen. Dadurch wird das explizite ausführen
abstrahiert.
"""
from lib.programm import start
start() | 24.25 | 75 | 0.797251 |
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