hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
46e95a4fab42ebc395965efaf8279f40ea157d0b | 321 | py | Python | CheckMate/log.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | CheckMate/log.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | CheckMate/log.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
# Print to stdout
ch = logging.StreamHandler()
# ch.setLevel(logging.INFO)
ch.setLevel(logging.DEBUG)
ch.setFormatter(formatter)
logger.addHandler(ch)
... | 16.05 | 85 | 0.735202 |
375c076aafa4dff0e3bf0b9547a83cbeac3c320e | 389 | py | Python | talks/2021-01-19_auto_docs/black_example.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | talks/2021-01-19_auto_docs/black_example.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | talks/2021-01-19_auto_docs/black_example.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | import pandas as pd
def process(x
:
pd.DataFrame
) -> pd.DataFrame:
y = pd.concat([x, x])
return y
def process2(x : pd.DataFrame,
y : int
, z: bool
= False) -> pd.DataFrame :
print('line_1')
x_grouped = x.groupby(["col1"]). loc[["col2", "col3"]].apply({'agg1':'mean','agg2':'median'})
... | 16.913043 | 98 | 0.55527 |
379d1ac0363734661c9e74ec972f171aea591495 | 342 | py | Python | telegrambot/src/corona_assistent_bot/web/api.py | LittleKita/CoronaAssistent | 1e0862d94bdc509aa468921ee7b056ec59e6f472 | [
"MIT"
] | 1 | 2020-03-20T22:05:14.000Z | 2020-03-20T22:05:14.000Z | telegrambot/src/corona_assistent_bot/web/api.py | LittleKita/CoronaAssistent | 1e0862d94bdc509aa468921ee7b056ec59e6f472 | [
"MIT"
] | 6 | 2020-03-21T12:22:36.000Z | 2022-02-27T01:33:33.000Z | telegrambot/src/corona_assistent_bot/web/api.py | LittleKita/CoronaAssistent | 1e0862d94bdc509aa468921ee7b056ec59e6f472 | [
"MIT"
] | null | null | null | from http import HTTPStatus
from flask import Blueprint, request
from ..model import ReceivedMessage
from . import db
bp = Blueprint('api', __name__)
@bp.route('/message', methods=['POST'])
def receive_message():
db.session.add(ReceivedMessage(text=request.json['text']))
db.session.commit()
return '', ... | 21.375 | 62 | 0.72807 |
2096175db5649ef55725a09e610ae9847c465a36 | 2,071 | py | Python | MLP.py | tmdt-buw/Vorhersage-Projektilbewegung | 181b6bc22deedfcdc7dba66358de61ef95d986b4 | [
"BSD-3-Clause"
] | null | null | null | MLP.py | tmdt-buw/Vorhersage-Projektilbewegung | 181b6bc22deedfcdc7dba66358de61ef95d986b4 | [
"BSD-3-Clause"
] | null | null | null | MLP.py | tmdt-buw/Vorhersage-Projektilbewegung | 181b6bc22deedfcdc7dba66358de61ef95d986b4 | [
"BSD-3-Clause"
] | null | null | null | import joblib
import numpy as np
from sklearn.neural_network import MLPRegressor
if __name__ == "__main__":
flag_train = False
X = np.load("input.npy")
Y = np.load("target.npy")
# normalize data
norm_params = np.zeros((6, 2))
for i_feature in range(X.shape[1]):
feature_mean = np.mea... | 30.455882 | 68 | 0.507484 |
2fd7f3ad140d54a69205a63818deaff5c7dadcc9 | 260 | py | Python | website/apps/projects/urls.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | 1 | 2017-03-14T08:08:31.000Z | 2017-03-14T08:08:31.000Z | website/apps/projects/urls.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | website/apps/projects/urls.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | from django.conf.urls import url
from projects.views import ProjectListView, ProjectDetailView
urlpatterns = [
url(r'^$', ProjectListView.as_view(), name='projects'),
url(r'^(?P<slug>[-_\w]+)/$', ProjectDetailView.as_view(), name='project_detail'),
] | 32.5 | 85 | 0.707692 |
ffb3e76edb94e369a94f449ab882e77f3be03756 | 729 | py | Python | BITs/2014/KOSTAREV_A_I/task_4_13.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/KOSTAREV_A_I/task_4_13.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/KOSTAREV_A_I/task_4_13.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №4 , Вариант 13
#Напишите программу, которая выводит имя, под которым скрывается Жан Батист Поклен. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти).
#Костарев А. И.
#14.... | 42.882353 | 271 | 0.743484 |
44881d96418ab53306493f1b1c5c0167d1a072dc | 1,775 | py | Python | rdlcompiler/systemrdl/test/parse.py | MegabytePhreak/rdl | b97912751738da9fddb42a9155f5823716809fc0 | [
"MIT"
] | 4 | 2016-05-10T20:40:34.000Z | 2020-04-09T13:23:33.000Z | rdlcompiler/systemrdl/test/parse.py | MegabytePhreak/rdl | b97912751738da9fddb42a9155f5823716809fc0 | [
"MIT"
] | null | null | null | rdlcompiler/systemrdl/test/parse.py | MegabytePhreak/rdl | b97912751738da9fddb42a9155f5823716809fc0 | [
"MIT"
] | null | null | null | __author__ = 'megabytephreak'
import rdlcompiler.systemrdl.grammar as grammar
from codetalker import testing
import os
def readall(path):
path = os.path.join(os.path.dirname(__file__), path)
with open(path, 'rb') as f:
return f.read()
parse_rule = testing.parse_rule(__name__,grammar.grammar)
parse... | 29.583333 | 134 | 0.564507 |
9227b116f796fcab6a484791e89f9a1afcac9bc6 | 751 | py | Python | src/unittest/python/erweitert/test_zusatz.py | dlangheiter-tgm/test-mirror | 9878da44953c40abc1df0311f275c3eebc2e876b | [
"MIT"
] | null | null | null | src/unittest/python/erweitert/test_zusatz.py | dlangheiter-tgm/test-mirror | 9878da44953c40abc1df0311f275c3eebc2e876b | [
"MIT"
] | null | null | null | src/unittest/python/erweitert/test_zusatz.py | dlangheiter-tgm/test-mirror | 9878da44953c40abc1df0311f275c3eebc2e876b | [
"MIT"
] | null | null | null | """
Created on 27.12.2013
@author: Walter Rafeiner-Magor <wrafeiner-magor@tgm.ac.at>
"""
import unittest
from bruch.Bruch import *
class TestAllgemein(unittest.TestCase):
def setUp(self):
self.b = Bruch(3, 2)
self.b2 = Bruch(self.b)
self.b3 = Bruch(4, 2)
pass
def tearDown(sel... | 20.861111 | 59 | 0.581891 |
2b8f84ac545f1f82d5cf062d18506a6169888fb1 | 407 | py | Python | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-classes-examples.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-classes-examples.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/udacity-ds_and_algos/udacity-ds_and_algos-lesson2-python_refresher-classes-examples.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # udacity-ds_and_algos-lesson2-python_refresher-classes-examples.py
class Person:
def __init__(self, name, age):
self.person_name = name
self.person_age = age
def birthday(self):
self.person_age += 1
def getName(self):
return self.person_name
... | 22.611111 | 68 | 0.616708 |
a6e6ba2c2dfc1140d7b285ae0526c49ae9455340 | 322 | py | Python | exercises/zh/test_01_03_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/zh/test_01_03_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/zh/test_01_03_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert (
doc.text == "我喜欢老虎和狮子。"
), "你确定你正确处理文本了吗？"
assert (
laohu == doc[2:3]
), "你确定你选择了老虎的正确跨度吗？"
assert (
laohu_he_shizi == doc[2:5]
), "你确定你选择了老虎和狮子的正确跨度吗？"
assert 'spacy.blank("zh")' in __solution__, '你将spacy.blank设置为正确的语言了吗？'
__msg__.good("好样的！"... | 24.769231 | 74 | 0.565217 |
5b52aec2392f00ae362eb9cfcccc1a5e466472cb | 4,203 | py | Python | Licence 1/I21/TP2/matplot.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I21/TP2/matplot.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I21/TP2/matplot.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | import matplotlib.pyplot as plt
import math as math
from time import time
from random import randrange, randint
def intervalle(a, b, inc):
values = []
values += [a]
while values[len(values)-1] + inc <= b:
last = values[len(values)-1]
values += [last + inc]
return values
"""
PREMIÈ... | 17.155102 | 70 | 0.569117 |
343bce59b7b1ccd86c8fc999b73b86c22fbed8bc | 1,016 | py | Python | backend/app/crud/crud_task_hint.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2022-02-20T12:45:04.000Z | 2022-02-20T12:45:04.000Z | backend/app/crud/crud_task_hint.py | JamesNeumann/learning-by-annotations | c2b5e4b653eeb1c973aa5a7dad35ac8be18cb1ad | [
"MIT"
] | 21 | 2021-11-01T10:13:56.000Z | 2021-12-02T10:02:13.000Z | backend/app/crud/crud_task_hint.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-12-16T18:20:55.000Z | 2021-12-16T18:20:55.000Z | from typing import List
from sqlalchemy import asc
from sqlalchemy.orm import Session
from app.crud.base import CRUDBase
from app.models.task_hint import TaskHint
from app.schemas.task_hint import TaskHintCreate, TaskHintUpdate
class CRUDTaskHint(CRUDBase[TaskHint, TaskHintCreate, TaskHintUpdate]):
p... | 27.459459 | 76 | 0.63189 |
1b3ade220bd14241965565c24f60d9332f240f48 | 957 | py | Python | weibo/testMySQL/test_iud.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/testMySQL/test_iud.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/testMySQL/test_iud.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | #coding:utf8
'''
Created on 2016年4月20日
@author: wb-zhaohaibo
'''
import MySQLdb
print MySQLdb
conn = MySQLdb.Connect(
host="127.0.0.1",
port=3306,
user="root",
passwd="admin",
db="testsql... | 21.266667 | 69 | 0.546499 |
1b610041b8b000eac8cce26634c5eb0bb651765f | 1,067 | py | Python | Reverse a tree.py | aertoria/MiscCode | a2e94d0fe0890e6620972f84adcb7976ca9f1408 | [
"Apache-2.0"
] | null | null | null | Reverse a tree.py | aertoria/MiscCode | a2e94d0fe0890e6620972f84adcb7976ca9f1408 | [
"Apache-2.0"
] | null | null | null | Reverse a tree.py | aertoria/MiscCode | a2e94d0fe0890e6620972f84adcb7976ca9f1408 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param {TreeNode} root
# @return {TreeNode}
def invertTree(self, root):
self.DFS(root)
if root <>None:
self... | 14.226667 | 36 | 0.663543 |
84c0c111a8ff8d25b780c3f6c574d3158f0e4800 | 1,763 | py | Python | src/Pepper/Pepper.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/Pepper/Pepper.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/Pepper/Pepper.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Choregraphe bezier export in Python.
import qi
import sys
from src.Settings import *
session = qi.Session()
def init(ip, port):
session.connect("tcp://" + ip + ":" + port)
service = session.service("ALMotion")
life_service = session.service("ALAutonomousLife")
life_service.s... | 27.123077 | 102 | 0.611458 |
84c3d4ead06d6e750ea4287e60a2c9261a8d9020 | 4,619 | py | Python | research/cv/dem/src/demnet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/dem/src/demnet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/dem/src/demnet.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... | 35.530769 | 108 | 0.645161 |
8e49e2ebeb7888bef274a808c1c2919c494b415b | 431 | pyde | Python | sketches/paletten3/paletten3.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/paletten3/paletten3.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/paletten3/paletten3.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | """
Männerpaletten
"""
w = 64
h = 16
def setup():
size(480, 530)
noLoop()
def draw():
background("#2b3e50")
fill(255, 0, 0)
rect(10, 10, w, h)
fill(255)
text("Schraubendrehergriffrot", w + 20, 22)
fill(250, 128, 114)
rect(10, 10 + h, w, h)
fill(255)
text("Pflaster... | 15.962963 | 47 | 0.5058 |
1e402dd69045f47d4f52755677ab05e1aba0e3f1 | 2,786 | py | Python | packages/watchmen-model/src/watchmen_model/dqc/dqc_topics.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/dqc/dqc_topics.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/dqc/dqc_topics.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from datetime import date
from typing import List, Optional
from watchmen_model.admin import Factor, FactorIndexGroup, FactorType, Topic, TopicKind, TopicType
from watchmen_model.common import DataModel, FactorId, TopicId
from .monitor_rule import MonitorRuleCode, MonitorRuleSeverity
class MonitorRuleDetected(DataMo... | 39.8 | 107 | 0.727566 |
1e52ee076ba8abc6aa3f7b4454e29849a0be2f8a | 347 | py | Python | Online-Judges/DimikOJ/Python/25-lcm.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/25-lcm.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/25-lcm.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | t = int(input())
for i in range(t):
a, b = input().split()
a, b = int(a), int(b)
mul = a * b
if b > a:
a, b = b, a
while a != b:
if b == 0:
break
if a > b:
a = a - b
else:
b = b - a
gcd = a
lcm = mul / gcd
lcm = int(l... | 16.52381 | 26 | 0.342939 |
1e7e13c6a8d56df26d93db2c77988b4a010ccec1 | 188 | py | Python | Online-Judges/CodingBat/Python/Logic-02/Logic_2-01-make_bricks.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/CodingBat/Python/Logic-02/Logic_2-01-make_bricks.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/CodingBat/Python/Logic-02/Logic_2-01-make_bricks.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def make_bricks(small, big, goal):
bricks = goal // 5
if bricks > big:
bricks = big
goal = goal - (bricks*5)
if goal <= small:
return True
return False
| 20.888889 | 34 | 0.553191 |
44e9a575b3cfd7e3ad849ca41cf481ca58c5a77e | 92 | py | Python | 2014/06/mooc-students/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/06/mooc-enrollment/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/06/mooc-enrollment/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1VOuxAMUp_8I0jCQb1Q0CN7NCoBj2LRq2Kn5_5Xs5UfY'
| 23 | 68 | 0.847826 |
78621a8e86299831efb7f131bdc74604edf548df | 1,297 | py | Python | source/pkgsrc/graphics/py-pycha/patches/patch-chavier_gui.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/graphics/py-pycha/patches/patch-chavier_gui.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/graphics/py-pycha/patches/patch-chavier_gui.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-chavier_gui.py,v 1.1 2020/03/11 20:17:12 wiz Exp $
Convert to python3 syntax.
--- chavier/gui.py.orig 2011-08-08 19:23:18.000000000 +0000
+++ chavier/gui.py
@@ -523,18 +523,18 @@ class GUI(object):
alloc = self.drawing_area.get_allocation()
- print 'CHART STATE'
- print '-' *... | 34.131579 | 65 | 0.573631 |
15b94a827b70457cbc2b870d0e90cfff8b93ec76 | 663 | py | Python | Curso-Em-Video-Python/2Exercicios/070_estatisticas_em_um_produto.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/070_estatisticas_em_um_produto.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/070_estatisticas_em_um_produto.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | produto = barato = n = 'e'
preco = total = maior = 0
menor = 9999
titulo = 'SUPERMERCADOS BH'
print('-' * 45)
print(titulo.center(45))
print('-' * 45)
while True:
produto = str(input('Nome do produto: '))
preco = float(input('Preco do produto: R$ '))
total += preco
if preco > 1000:
maior += 1
... | 27.625 | 121 | 0.591252 |
1744b463cc0e2d6bd25310c89fb0c44ee829689a | 2,832 | py | Python | magenta_docker/task_test.py | googleinterns/step258-2020 | 49e7af1a381e076ee884f55857a7af2f72add74d | [
"Apache-2.0"
] | 2 | 2020-08-28T15:17:40.000Z | 2022-01-21T14:03:21.000Z | magenta_docker/task_test.py | googleinterns/step258-2020 | 49e7af1a381e076ee884f55857a7af2f72add74d | [
"Apache-2.0"
] | 1 | 2021-01-27T18:22:46.000Z | 2021-01-27T20:58:55.000Z | magenta_docker/task_test.py | googleinterns/step258-2020 | 49e7af1a381e076ee884f55857a7af2f72add74d | [
"Apache-2.0"
] | 4 | 2020-07-28T12:13:11.000Z | 2021-01-27T16:29:29.000Z | """Tests for task.py."""
import os
from unittest import mock
import task
import tensorflow.compat.v2 as tf
class GetWorkerBehaviorInfoTest(tf.test.TestCase):
def test_no_tf_config(self):
"""Tests behavior when there is no TF_CONFIG set."""
cluster_config, save_dir = task.get_worker_behavior_info('some/dir... | 39.333333 | 80 | 0.622175 |
bd70214191dc3b401728019a2ff8c040050e19db | 1,207 | py | Python | 3kCTF/2021/crypto/crypto_warmup/challenge.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | 3kCTF/2021/crypto/crypto_warmup/challenge.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | 3kCTF/2021/crypto/crypto_warmup/challenge.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | import random
import math
n = 24
def make_stuff():
A = []; b = [1, 10]
for i in range(n):
A.append(random.randint(*b))
b[False] = sum(A) + 1
b[True] = int(b[False] << 1)
c = random.randint(sum(A), sum(A) << 1)
while True:
d = random.randint(sum(A), sum(A) <... | 25.145833 | 289 | 0.608119 |
e5dbdc572c802e2755aab531a68bc9754fcac340 | 1,167 | py | Python | loesung/blatt1b_4c.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | 1 | 2019-09-27T13:47:20.000Z | 2019-09-27T13:47:20.000Z | loesung/blatt1b_4c.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | null | null | null | loesung/blatt1b_4c.py | dotKuro/vorsemesterWISE19-20 | 436c6d1846b6c1bfb087652e8ca179bd1b12c28e | [
"CC0-1.0"
] | null | null | null | # Hier soll der User belibig viele Zahlen eingeben können und dann soll der
# Mittelwert ermittelt werden.
correct_input = False
while not correct_input:
# Hier soll der User seine Zahlen Komma seperiert eingeben.
# Die split Funktion wird den String automatisch an den Kommas teilen
# und diese in eine Li... | 40.241379 | 80 | 0.742074 |
dad171365e9cbbb84888e976babf4f0f2e4b6152 | 1,794 | py | Python | plugins/tff_backend/plugin_consts.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | null | null | null | plugins/tff_backend/plugin_consts.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 178 | 2017-08-02T12:58:06.000Z | 2017-12-20T15:01:12.000Z | plugins/tff_backend/plugin_consts.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 2 | 2018-01-10T10:43:12.000Z | 2018-03-18T10:42:23.000Z | # -*- coding: utf-8 -*-
# Copyright 2017 GIG Technology NV
#
# 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... | 33.849057 | 74 | 0.804348 |
c11ae03d87db3fae39d48b90d02f9d1638be204f | 173 | py | Python | data-structures/week3_hash_tables/6_matching_with_mismatches/matching_with_mismatches.py | yiping-wang/data-structures-and-algorithms-coursera | fc0ba34399c27b358ce52a323a52ab2eb095f156 | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Data Structures & Algorithms/Algorithm Toolbox/week3_hash_tables/6_matching_with_mismatches/matching_with_mismatches.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Data Structures & Algorithms/Algorithm Toolbox/week3_hash_tables/6_matching_with_mismatches/matching_with_mismatches.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | # python3
import sys
def solve(k, text, pattern):
return []
for line in sys.stdin.readlines():
k, t, p = line.split()
ans = solve(int(k), t, p)
print(len(ans), *ans)
| 14.416667 | 34 | 0.624277 |
ec2c582421cc20cbedb8fe858a8deeb54fee7a2c | 642 | py | Python | ArtificialIntelligence/BotBuilding/botclean.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | ArtificialIntelligence/BotBuilding/botclean.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | ArtificialIntelligence/BotBuilding/botclean.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Head ends here
def next_move(posr, posc, board):
dr, dc = get_next_dirt(board)
if(posc != dc):
move = (posc < dc) and 'RIGHT' or 'LEFT'
elif(posr != dr):
move = (posr < dr) and 'DOWN' or 'UP'
else:
move = 'CLEAN'
print(move)
def get_next_dirt(bo... | 24.692308 | 60 | 0.521807 |
ec33ab17eb68963cc6fcecdfcb676337da10a1bc | 15,499 | py | Python | bindings/python/ensmallen/datasets/linqs.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | bindings/python/ensmallen/datasets/linqs.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | bindings/python/ensmallen/datasets/linqs.py | LucaCappelletti94/EnsmallenGraph | 572532b6d3f4352bf58f9ccca955376acd95fd89 | [
"MIT"
] | null | null | null | """Module providing graphs available from LINQS."""
from ensmallen import Graph # pylint: disable=import-error
from .automatic_graph_retrieval import AutomaticallyRetrievedGraph
def PubMedDiabetes(
directed = False, preprocess = "auto", load_nodes = True, load_node_types = True,
load_edge_weights = True, auto... | 33.914661 | 133 | 0.642816 |
6be520f636da37a65f4aeaa8f7cbce6cb1fda2ba | 3,799 | py | Python | _Dist/NeuralNetworks/h_RNN/Cell.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | _Dist/NeuralNetworks/h_RNN/Cell.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | _Dist/NeuralNetworks/h_RNN/Cell.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import os
import sys
root_path = os.path.abspath("../../../")
if root_path not in sys.path:
sys.path.append(root_path)
import tensorflow as tf
from tensorflow.contrib.rnn import LSTMStateTuple
from _Dist.NeuralNetworks.NNUtil import DNDF
class LSTMCell(tf.contrib.rnn.LSTMCell):
def __str__(self):
re... | 33.034783 | 91 | 0.576731 |
6bef2bc9e616bcd290d504fa4148901305ce33fe | 771 | py | Python | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 2,177 | 2017-08-28T15:07:01.000Z | 2022-03-30T11:06:01.000Z | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 1,079 | 2017-08-30T07:25:06.000Z | 2022-03-31T17:49:07.000Z | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/__init__.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 489 | 2017-08-28T16:17:03.000Z | 2022-03-31T15:52:18.000Z | # Flatten the imports so that packages above just need:
# from CCParameter import {SomeConcreteParameterClass}
from cruisecontrolclient.client.CCParameter.BooleanParameter import * # noqa
from cruisecontrolclient.client.CCParameter.CommaSeparatedParameter import * # noqa
from cruisecontrolclient.client.CCParameter.No... | 70.090909 | 88 | 0.849546 |
2e732dda3ef622bef7fa74a1553e88a0534dd8cf | 10,035 | py | Python | Adjuster.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | null | null | null | Adjuster.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 5 | 2020-01-18T21:10:46.000Z | 2020-01-25T20:58:19.000Z | Adjuster.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 2 | 2020-01-18T17:36:50.000Z | 2020-01-22T16:52:08.000Z | #!/usr/bin/env python3
import argparse
import os
import logging
import textwrap
import sys
import time
from Rom import Sprite, LocalRom, apply_rom_settings
from Utils import output_path
class AdjusterWorld(object):
def __init__(self, sprite_pool):
import random
self.sprite_pool = {1: sprite_pool}... | 49.678218 | 180 | 0.648132 |
2e8be30dc0a6c69888d004a19c55e19a687d75e1 | 656 | py | Python | Chapter2_ExecutePython/IDE/test_example_for_vscode2.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | Chapter2_ExecutePython/IDE/test_example_for_vscode2.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | Chapter2_ExecutePython/IDE/test_example_for_vscode2.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | def f(a):
return a**2
# Lists
# 0 1 2 3 4 5
noten = [1, 1, 3, 4, 2, 9]
noten.append(6)
noten.append(1)
print(noten)
noten.pop()
noten.pop()
print(noten)
noten.insert(0, 12)
print(noten)
noten.pop(2)
print(noten)
# List Comprehensions
my_list2 = []
for i in range(10):
my_list2.append(i)
p... | 12.377358 | 56 | 0.623476 |
cf3645017c7b455b85a31e038998d58121a7a917 | 349 | py | Python | basics/sleep.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | 1 | 2019-04-07T23:14:29.000Z | 2019-04-07T23:14:29.000Z | basics/sleep.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | basics/sleep.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | def commit_to_github():
print("COMMITED!!! PUSHED to master branch..")
def eat():
print("Ate Slatinska pizza...")
def sleep():
graduated = False
if not graduated:
print("Ugh, Kiko Mitov is waiting :( ")
else:
print("Sleep like a baby")
if __name__ == '__main__':
commit_to_g... | 20.529412 | 50 | 0.593123 |
d8d169e8b5e58f332eaf230b7ca0085d9e703e51 | 2,179 | py | Python | model/test.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | model/test.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | model/test.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | 2 | 2021-02-03T04:34:26.000Z | 2021-02-03T06:32:48.000Z | import cv2
import numpy as np
from model.inference import gaussian_blur, get_max_preds, taylor
from model.unet import get_pose_net
import torch
def convert_img(img):
"""
pytorch 的训练方式是通道优先
将 HWC 转为 CWH
"""
# H W C ---> C H W ----> C W H
img = torch.from_numpy(img).float()
if len(img.s... | 24.483146 | 86 | 0.621386 |
991b426064d653970c28a1e439ed4d60fd7a4a8f | 4,862 | py | Python | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/monitor_log/monitor_log_data_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/monitor_log/monitor_log_data_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-kernel/src/watchmen_pipeline_kernel/monitor_log/monitor_log_data_service.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Optional
from watchmen_auth import PrincipalService
from watchmen_data_kernel.common import ask_datetime_formats
from watchmen_data_kernel.meta import TopicService
from watchmen_data_kernel.service import ask_topic_data_service
from watchmen_data_kernel.topic_schema import TopicSchema
from watchmen_... | 43.801802 | 117 | 0.814685 |
999c0d3697b7ffe19b1dfe6330c07d5229d27352 | 763 | py | Python | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/NonNegativeIntegerParameter.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 2,177 | 2017-08-28T15:07:01.000Z | 2022-03-30T11:06:01.000Z | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/NonNegativeIntegerParameter.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 1,079 | 2017-08-30T07:25:06.000Z | 2022-03-31T17:49:07.000Z | kafka/cruise-control/cruise-control-client/cruisecontrolclient/client/CCParameter/NonNegativeIntegerParameter.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 489 | 2017-08-28T16:17:03.000Z | 2022-03-31T15:52:18.000Z | from cruisecontrolclient.client.CCParameter.Parameter import AbstractParameter
class AbstractNonNegativeIntegerParameter(AbstractParameter):
def __init__(self, value: int):
AbstractParameter.__init__(self, value)
def validate_value(self):
if type(self.value) != int:
raise ValueErr... | 34.681818 | 78 | 0.68152 |
5ae095d3c79cf50f9df36ceed3475f163e6d7131 | 1,151 | py | Python | other/calculae_mean_value_in_csv.py | yujungcheng/algorithm_and_data_structure | 3742238227067217b82bf35ca3a968db4375f3c9 | [
"Apache-2.0"
] | null | null | null | other/calculae_mean_value_in_csv.py | yujungcheng/algorithm_and_data_structure | 3742238227067217b82bf35ca3a968db4375f3c9 | [
"Apache-2.0"
] | null | null | null | other/calculae_mean_value_in_csv.py | yujungcheng/algorithm_and_data_structure | 3742238227067217b82bf35ca3a968db4375f3c9 | [
"Apache-2.0"
] | 1 | 2020-04-16T01:17:04.000Z | 2020-04-16T01:17:04.000Z | #!/usr/bin/env python
""" get arithemtic mean of field X in csv file """
import sys
# write csv data file
csv_data = """1,2,3,4,5
10,"a,b",10,20,30,40,50
6,7,8,9,10
"""
csv_file = "./data.csv"
with open(csv_file, "w") as f:
f.write(csv_data)
def main(argv):
count = mean = sum = 0
target_field = int(ar... | 25.021739 | 67 | 0.527368 |
5c79043eb5e834cbcf47a54bd5b3f3c4bc2d6f68 | 168 | py | Python | algorithms/dynamic_programming/fibonacci_modified.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/dynamic_programming/fibonacci_modified.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/dynamic_programming/fibonacci_modified.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | import sys
if __name__ == '__main__':
A, B, N = list(map(int, sys.stdin.readline().split()))
for _ in range(N - 2):
A, B = B, A + B * B
print(B) | 16.8 | 58 | 0.511905 |
5cdc72357aa4c15c039f94945353eba7b78202c8 | 3,317 | py | Python | tests/test_vertragsteil.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | tests/test_vertragsteil.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | tests/test_vertragsteil.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | from datetime import datetime, timezone
from decimal import Decimal
import pytest # type:ignore[import]
from bo4e.com.menge import Menge
from bo4e.com.vertragsteil import Vertragsteil, VertragsteilSchema
from bo4e.enum.mengeneinheit import Mengeneinheit
class TestVertragsteil:
def test_vertragsteil_only_requir... | 46.069444 | 118 | 0.723545 |
a41eb63b2aaf2bfff2156860f8d27b86390d1e90 | 3,191 | py | Python | reverse-ip-master/rev.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | reverse-ip-master/rev.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | reverse-ip-master/rev.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# -- import Modules --
import os
import sys
import json
import random
import requests
import platform
import threading
py_version = platform.python_version()
if int(py_version[0]) == 2:
from Queue import Queue
if int(py_version[0]) == 3:
from queue import Queue
# -- Co... | 26.591667 | 90 | 0.498276 |
776c6738db6dde5dcb377c2b0db156cce05b9a65 | 419 | py | Python | scripts/OOP/oop01a.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | scripts/OOP/oop01a.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | scripts/OOP/oop01a.py | ProfJust/Ruhr-TurtleBot-Competition-RTC- | 5c2425bee331b4d5033757a9425676932d111775 | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python3
# oop01.py Version vpm 20.11.20
# -------------------------
class Person:
_name = " leer "
_alter = 17
def reden(self):
print("RTC ist super!")
def reden2(self, text):
print(str(text))
class nochKeineLust:
pass
if __name__ == '__main__':
# Instanzzie... | 16.76 | 32 | 0.551313 |
249a3fbab472633b967200dd7ee060eb66d3b642 | 96 | py | Python | apps/password/apps.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 2 | 2017-12-17T21:28:22.000Z | 2018-02-02T14:44:58.000Z | apps/password/apps.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 118 | 2017-10-31T13:45:09.000Z | 2018-02-24T20:51:42.000Z | apps/password/apps.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class PasswordConfig(AppConfig):
name = 'apps.password'
| 16 | 33 | 0.760417 |
24e07a9030fd2273db1ffd76c92bd326c9cdfe1d | 262 | pyde | Python | sketches/svgshapes/svgshapes.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/svgshapes/svgshapes.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/svgshapes/svgshapes.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | def setup():
global penguin
size(400, 400)
penguin = loadShape("1f427.svg")
shapeMode(CENTER)
def draw():
background(155)
shape(penguin, width/2, height/2,
map(mouseX, 0, width, 0, 800),
map(mouseX, 0, width, 0, 800)) | 23.818182 | 40 | 0.583969 |
24f1ce869490b56c3affdcd202a3c52e7c31cbb7 | 3,241 | py | Python | src/onegov/file/sign/generic.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/sign/generic.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/sign/generic.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os.path
from contextlib import contextmanager, suppress
from tempfile import mkstemp
from io import UnsupportedOperation
class SigningService(object):
""" A generic interface for various file signing services. """
registry = {}
def __init_subclass__(cls, service_name, **kwargs):
SigningS... | 28.9375 | 79 | 0.61154 |
700ee1da90478356a9d6616f4c7b1215d2d29d41 | 173 | py | Python | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/25.01-Socket-Programming-Client.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/25.01-Socket-Programming-Client.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/25.01-Socket-Programming-Client.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | import socket
client = socket.socket()
client.connect(("127.0.0.1", 9999))
name = input("Enter your name: ")
client.send(bytes(name, "utf-8"))
print(client.recv(1024))
| 14.416667 | 35 | 0.676301 |
562dd8b0ea0bdb36a965557f50f7ab6709d59f02 | 1,623 | py | Python | BCACTF/2021/crypto/Rainbow_Passage/rp.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | BCACTF/2021/crypto/Rainbow_Passage/rp.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | BCACTF/2021/crypto/Rainbow_Passage/rp.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import math
import binascii
from Crypto.Util.Padding import pad, unpad
print("""
Welcome to the official communication encryption system for rainbow bridges.
Input the encryption password given to you by your sponsor diety to encode messages,
and use the decryption password given to you to deco... | 28.473684 | 84 | 0.547135 |
d968c358955767596680fecedb0d8e2fd7a88445 | 1,730 | py | Python | docs/labs/lab9/solutions/sol2_bagging.py | tteenathankachan/2021-CS109A | 9349749539f439deff280ceb25621fc61a337253 | [
"MIT"
] | 19 | 2021-08-29T21:23:48.000Z | 2022-03-16T14:38:25.000Z | docs/labs/lab9/solutions/sol2_bagging.py | SBalas/2021-CS109A | 0f57c3d80b7cef99d660f6a77c0166cffc1253e8 | [
"MIT"
] | null | null | null | docs/labs/lab9/solutions/sol2_bagging.py | SBalas/2021-CS109A | 0f57c3d80b7cef99d660f6a77c0166cffc1253e8 | [
"MIT"
] | 22 | 2021-09-01T13:03:05.000Z | 2022-03-31T14:34:36.000Z | #1
def get_bagging_df(x_train, y_train, model, bootstrap_range, cv_samples = 5):
"""
This function will take a model and a range of values and return a dataframe with columns: ["depth", "cross_val_acc"]
Arguments:
model: the model to be run. Specifically this should be a class instance such as
... | 39.318182 | 121 | 0.652601 |
5c133e48e480de457e739be7d2367633d28699bf | 12,746 | py | Python | webinterface/tests/unit_tests/test_model_Affiliation.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 2 | 2021-11-28T23:04:00.000Z | 2022-01-13T19:47:45.000Z | webinterface/tests/unit_tests/test_model_Affiliation.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 25 | 2020-03-29T14:40:46.000Z | 2021-09-22T17:37:15.000Z | webinterface/tests/unit_tests/test_model_Affiliation.py | monoclecat/cleaning-schedule-management-system | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 1 | 2020-07-04T11:42:17.000Z | 2020-07-04T11:42:17.000Z | from django.test import TestCase
from webinterface.models import *
from django.core.exceptions import ValidationError
import logging
from unittest.mock import *
class AffiliationTest(TestCase):
@classmethod
def setUpTestData(cls):
# Config
cls.start_week = 2500
cls.end_week = 2510
... | 53.108333 | 109 | 0.678723 |
a518fc9c2dba5dea61246b0d567c7de2a1f2bae2 | 533 | py | Python | ZbjDjChannels/utils/const.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/utils/const.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/utils/const.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null |
# -*- coding: UTF-8 -*-
# Filename: const.py
# 定义一个常量类实现常量的功能
#
# 该类定义了一个方法__setattr()__，和一个异常ConstError, ConstError类继承
# 自类TypeError. 通过调用类自带的字典__dict__, 判断定义的常量是否包含在字典
# 中。如果字典中包含此变量，将抛出异常，否则，给新创建的常量赋值
# 最后两行代码的作用是把const类注册到sys.modules这个全局字典中
import sys
class _const:
class ConstError(TypeError):
... | 20.5 | 56 | 0.682927 |
ebcc43192102fc60c3aeb2a4100216de8c4784bb | 189 | py | Python | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/22.00-Linear Search.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/22.00-Linear Search.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/22.00-Linear Search.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | lst = [1, 2, 5, 6, 7, 8, 0]
def linear_search(nums, target):
for i in range(len(nums)):
if lst[i] == target:
return i
return -1
print(linear_search(lst, 8))
| 15.75 | 32 | 0.539683 |
d6a6e8414c2eb829a8a52e06912aa5e56be65a00 | 1,921 | py | Python | x2paddle/project_convertor/pytorch/torch2paddle/layer.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 559 | 2019-01-14T06:01:55.000Z | 2022-03-31T02:52:43.000Z | x2paddle/project_convertor/pytorch/torch2paddle/layer.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 353 | 2019-05-07T13:20:03.000Z | 2022-03-31T05:30:12.000Z | x2paddle/project_convertor/pytorch/torch2paddle/layer.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 241 | 2018-12-25T02:13:51.000Z | 2022-03-27T23:21:43.000Z | # 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 required by appl... | 22.08046 | 74 | 0.706403 |
d6d4314a7be351e3b1f4bc786717db8572d21aae | 643 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_2_String/28. longest common prefix.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/28. longest common prefix.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/28. longest common prefix.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Write a function to find the longest common prefix string between a given set of strings.
If there is no common prefix, return an empty string.
Example:
Input Data:
s1 = 'floor'
s2 = 'float'
s3 = 'floral'
s4 = 'flow'
Expected output = 'flo'
"""
def longest_prefix(s1,s2,s3,s4):
arr = [s1... | 17.861111 | 90 | 0.506998 |
305735c0f84991315b015ba8b1f656b08c1b5b90 | 1,051 | py | Python | task_manager/task_manager/tasks/views.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | task_manager/task_manager/tasks/views.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | task_manager/task_manager/tasks/views.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from task_manager.tasks.forms import TaskForm
from task_manager.tasks.models import Task
def show_home(request):
if request.method == 'POST':
form = TaskForm(request.POST)
if form.is_valid():
form.save()
return redirect('index'... | 23.886364 | 72 | 0.641294 |
23297f8ab566deee67ad6925c503ceab08cdcf2f | 1,603 | py | Python | wechat_xiaowei/api/wechatapi.py | jiangyx3915/wechat-xiaowei | cc81264431f5f771e3eb3506260ea68ee882d1fe | [
"MIT"
] | 1 | 2020-07-13T16:08:48.000Z | 2020-07-13T16:08:48.000Z | wechat_xiaowei/api/wechatapi.py | jiangyx3915/wechat-xiaowei | cc81264431f5f771e3eb3506260ea68ee882d1fe | [
"MIT"
] | null | null | null | wechat_xiaowei/api/wechatapi.py | jiangyx3915/wechat-xiaowei | cc81264431f5f771e3eb3506260ea68ee882d1fe | [
"MIT"
] | null | null | null | class WeChatApiMixin:
def apply_enter(self, params: dict):
"""
申请入驻小微商户
:param params:
:return:
"""
raise NotImplementedError()
def retrieve_apply_status(self, params: dict):
"""
入驻申请状态查询
:param params:
:return:
"""
... | 21.958904 | 53 | 0.530256 |
2363d209b4a4a8b5a9eccd02e68c7b04a4f282a6 | 932 | py | Python | coco2yolov5-converter/tests/converter/test_txt_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | coco2yolov5-converter/tests/converter/test_txt_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | coco2yolov5-converter/tests/converter/test_txt_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | # disabling PyLint docstring, no self using
# pylint: disable=C0114,C0115,C0116,R0201
import tempfile
from pathlib import Path
from src.converter.txt_util import TxtUtil
class TestTxtUtil:
def write_labels_to_temp_dir_and_return_content(self, labels):
with tempfile.TemporaryDirectory() as tmp_dir:
... | 34.518519 | 106 | 0.657725 |
ccbd1e9583536ae99d6eb650c096c8a1792d82f1 | 5,474 | py | Python | rbac/common/user/user_address.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | rbac/common/user/user_address.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | rbac/common/user/user_address.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 ... | 31.825581 | 79 | 0.695287 |
9dbd14c8b7773c1daaccd5ffc59f9191c328ab76 | 5,954 | py | Python | benwaonline/gallery/views.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | benwaonline/gallery/views.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | 16 | 2017-09-13T10:21:40.000Z | 2020-06-01T04:32:22.000Z | benwaonline/gallery/views.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | import os
import uuid
from pathlib import PurePath
import requests
from flask import (current_app, flash, jsonify, redirect, render_template,
request, session, url_for)
from flask_login import current_user, login_required
from werkzeug.utils import secure_filename
from benwaonline.gateways import (... | 32.010753 | 126 | 0.69701 |
8864c3929e835d0290a3af4cf9feed045d9567d3 | 2,460 | py | Python | research/cv/ssd_resnet50/src/resnet_extra.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/ssd_resnet50/src/resnet_extra.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/ssd_resnet50/src/resnet_extra.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... | 35.652174 | 100 | 0.639431 |
c9d9df885c13bbe298c72499f9d4dadcfe46f8f7 | 2,740 | py | Python | src/pfun/subprocess.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | src/pfun/subprocess.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | src/pfun/subprocess.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | from __future__ import annotations
import asyncio
from subprocess import PIPE, CalledProcessError
from typing import IO, Tuple, Union
from typing_extensions import Protocol
from .effect import Effect, Try, add_repr, depend, from_callable
from .either import Left, Right
from .functions import curry
from .immutable im... | 28.247423 | 75 | 0.590146 |
a01a348ee1d78fb783217d18c13ff94410e197ad | 1,828 | py | Python | logya/util.py | yaph/logya | 9647f58a0b8653b56ad64332e235a76cab3acda9 | [
"MIT"
] | 12 | 2015-03-04T03:23:56.000Z | 2020-11-17T08:09:17.000Z | logya/util.py | elaOnMars/logya | a9f256ac8840e21b348ac842b35683224e25b613 | [
"MIT"
] | 78 | 2015-01-05T11:40:41.000Z | 2022-01-23T21:05:39.000Z | logya/util.py | elaOnMars/logya | a9f256ac8840e21b348ac842b35683224e25b613 | [
"MIT"
] | 6 | 2015-04-20T06:58:42.000Z | 2022-01-31T00:36:29.000Z | # -*- coding: utf-8 -*-
import re
from collections import namedtuple
from pathlib import Path
from string import punctuation, whitespace
from yaml import dump, load
try:
from yaml import CDumper as Dumper, CLoader as Loader
except ImportError: # pragma: no cover
from yaml import Dumper, Loader # type: ignor... | 27.69697 | 81 | 0.658096 |
4e44247cf72b6ecfa9ff4298f3415b1179f283bb | 1,144 | py | Python | data/episode5/levenshtein.py | AkademieOlympia/nlp-mit-python | 39b36c65bf7e0fc9e3bc0388e0250732b909c689 | [
"CC-BY-4.0"
] | 2 | 2020-03-03T09:40:24.000Z | 2020-04-09T07:23:59.000Z | data/episode5/levenshtein.py | AkademieOlympia/nlp-mit-python | 39b36c65bf7e0fc9e3bc0388e0250732b909c689 | [
"CC-BY-4.0"
] | null | null | null | data/episode5/levenshtein.py | AkademieOlympia/nlp-mit-python | 39b36c65bf7e0fc9e3bc0388e0250732b909c689 | [
"CC-BY-4.0"
] | 1 | 2022-01-31T13:07:09.000Z | 2022-01-31T13:07:09.000Z | def levenshtein_distance_add(a, b):
# Basisfall: leere Zeichenketten bei einem der beiden Strings
# --> man muss die Zeichen des anderen Strings hinzufügen
if len(a) == 0:
return len(b)
if len(b) == 0:
return len(a)
# Basisfall ist nicht eingetreten
return None
def levenshtein_... | 30.105263 | 66 | 0.657343 |
4e712a5391dbdf453375d60bb0f1e5404aed4831 | 3,890 | py | Python | blog/routes.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2019-01-29T15:57:20.000Z | 2019-01-29T15:57:20.000Z | blog/routes.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2018-05-05T19:43:28.000Z | 2018-05-05T19:43:28.000Z | blog/routes.py | Lanseuo/lucas-blog | fd6932952aac3a3055026551700bc86adef279f4 | [
"MIT"
] | 1 | 2018-04-24T09:36:57.000Z | 2018-04-24T09:36:57.000Z | from flask import render_template, url_for, redirect, jsonify
from werkzeug.contrib.atom import AtomFeed
from . import app, meta
from .errors import PostNotFound
from .posts import Posts
from .post import Post
@app.route("/")
def index():
return render_template(
"index.html",
site_title=meta.site... | 28.188406 | 93 | 0.617995 |
01328434e37edfec8e0b7144da3f6a83c8d70bb9 | 1,798 | py | Python | Challenge_1/members/nico.py | joeherold/weekly_coding_challenge_fwkwkw_python | 5c2795fdf38970a387540141ad95408c527a7779 | [
"MIT"
] | 1 | 2020-05-15T13:43:16.000Z | 2020-05-15T13:43:16.000Z | Challenge_1/members/nico.py | joeherold/weekly_coding_challenge_fwkwkw_python | 5c2795fdf38970a387540141ad95408c527a7779 | [
"MIT"
] | 4 | 2020-05-15T17:46:52.000Z | 2020-07-06T11:48:37.000Z | Challenge_1/members/nico.py | joeherold/weekly_coding_challenge_fwkwkw_python | 5c2795fdf38970a387540141ad95408c527a7779 | [
"MIT"
] | null | null | null | #Schreibe eine Schleife (z.B. while, oder for...) mit der du die unten angegebene Liste aufsteigende sortierst.
#Es ist keine eingebaute Sortierfunktion erlaubt, sondern muss mit einfachen Rechenoperatoren wie <, > if, elif, ... gelöst werden.
# gegebene Liste
myNumberList = [25, 45, 25, 78, 21, 14, 87, 32, 57, 54]
emp... | 43.853659 | 262 | 0.588988 |
6d75456a0e0cc3362e8244b5596ea21a37af67af | 701 | py | Python | tools/lib/lastvaluestorage.py | FloEdelmann/vaterstetten-in-zahlen | 4c76170d5123eaa091a8d01a51d746659bed7203 | [
"MIT"
] | 10 | 2021-01-28T21:43:22.000Z | 2022-01-15T16:50:34.000Z | tools/lib/lastvaluestorage.py | FloEdelmann/vaterstetten-in-zahlen | 4c76170d5123eaa091a8d01a51d746659bed7203 | [
"MIT"
] | 7 | 2021-06-10T07:19:21.000Z | 2022-03-22T15:11:17.000Z | tools/lib/lastvaluestorage.py | FloEdelmann/vaterstetten-in-zahlen | 4c76170d5123eaa091a8d01a51d746659bed7203 | [
"MIT"
] | 5 | 2021-01-29T14:14:45.000Z | 2022-01-09T15:37:36.000Z | import json
import os
from typing import TypeVar, Generic
dirname = os.path.dirname(__file__)
storage_dir = os.path.join(dirname, '..', 'lastvaluestorage')
os.makedirs(storage_dir, exist_ok = True)
T = TypeVar('T')
class LastValueStorage(Generic[T]):
def __init__(self, name):
self.storage_file = os.path.join(s... | 26.961538 | 65 | 0.687589 |
11036bd56e69034f37ed3189ebcd0ad2801a590e | 1,522 | py | Python | scripts/count_features.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 8 | 2018-03-09T16:44:38.000Z | 2021-04-07T11:33:30.000Z | scripts/poi_number.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 4 | 2020-03-24T15:34:54.000Z | 2021-06-01T21:54:33.000Z | scripts/poi_number.py | PyGeoL/GeoL | 67a5bd2f63091e19041094c14d419055fa5ce6f0 | [
"MIT"
] | 1 | 2020-05-13T14:30:55.000Z | 2020-05-13T14:30:55.000Z |
# coding: utf-8
# Load FourSquare MAPPED dataset and assign to each square in the grid the
# number of POI of each FS category.
import pandas as pd
from geol.feature_extraction.various import BOC
import sys
import argparse
import os
def category(df, level):
tmp = df['categories'].split(":")
if len(tmp) >... | 25.366667 | 74 | 0.494744 |
42d39826dd6dafb3dd8dfc4a90b7bc9afc307a9b | 865 | py | Python | 30 Days of Code/30DoC-day-18/30DoC_day_18.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | 30 Days of Code/30DoC-day-18/30DoC_day_18.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | 30 Days of Code/30DoC-day-18/30DoC_day_18.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | import sys
from collections import deque
class Solution(deque):
enqueueCharacter = deque.append
dequeueCharacter = deque.popleft
pushCharacter = deque.append
popCharacter = deque.pop
# read the string s
s = input()
# Create the Solution class object
obj = Solution()
l = len(s)
# push/enqueue all th... | 22.763158 | 54 | 0.690173 |
42f28c86e0eb5bd9af5f826229f9378bb1625b98 | 472 | py | Python | SQL_python/DataBasePython/connection2.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | SQL_python/DataBasePython/connection2.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | SQL_python/DataBasePython/connection2.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | import psycopg2
import time
start = time.time()
try:
conn = psycopg2.connect("dbname='postgres' user='postgres' host='localhost' password='dbpass'")
except:
print("I am unable to connect to the database")
#cur.execute("""SELECT datname from pg_database""")
cur = conn.cursor()
print('PostgreSQL database vers... | 19.666667 | 99 | 0.71822 |
28a2953ef856819d8b11cf6c35be93d87e35e11f | 3,135 | py | Python | src/building_cost_analysis/parser.py | mike199011/building_cost_analysis | 897fe3fddf882099c279a4fe855da0f5f3dff56a | [
"MIT"
] | null | null | null | src/building_cost_analysis/parser.py | mike199011/building_cost_analysis | 897fe3fddf882099c279a4fe855da0f5f3dff56a | [
"MIT"
] | null | null | null | src/building_cost_analysis/parser.py | mike199011/building_cost_analysis | 897fe3fddf882099c279a4fe855da0f5f3dff56a | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import os
import glob
# TODO plausibility checks ID == np.nan
# TODO plausibility check ascending ids!
# TODO check if all ids < level remain constant inside the group ( for example 10.10, 10.20 10.30 ok, 10.10, 20.10, 10.20 wrong!)
# maybe this makes no sense!..
def get_df_with... | 42.364865 | 137 | 0.683573 |
dd89b1ca7be5f28b422a78590adc5898bd2e27af | 307 | py | Python | MazeSolving/Solver/PathFinder.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 5 | 2018-02-06T22:48:34.000Z | 2020-01-07T20:19:05.000Z | MazeSolving/Solver/PathFinder.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 11 | 2018-01-31T21:47:49.000Z | 2018-04-21T16:42:52.000Z | MazeSolving/Solver/PathFinder.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 2 | 2020-06-18T05:40:03.000Z | 2022-02-02T03:46:30.000Z | class PathFinder:
#Instantiate for Strategy Pattern: Context -> Path Finding
def __init__(self, strategy):
self.strategy = strategy
def find_shortest_path(self, G,start, end, heuristic = None):
if heuristic:
return self.strategy(G, start, end, heuristic)
return self.strategy(G, start, end)
| 27.909091 | 62 | 0.736156 |
9ff2a4bc2f029e132306eb92a180a315430349f6 | 2,769 | py | Python | Packs/CommonScripts/Scripts/AddKeyToList/AddKeyToList.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CommonScripts/Scripts/AddKeyToList/AddKeyToList.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CommonScripts/Scripts/AddKeyToList/AddKeyToList.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | """AddKeyToList
Adds/Updates a Key to a JSON-backed List
"""
import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
from typing import Dict, Any
import traceback
''' STANDALONE FUNCTION '''
def add_key_to_list(li... | 28.255102 | 118 | 0.653666 |
05b527fcbd371bc5f199439a6ac9addb8d5e1ed7 | 754 | py | Python | pi/pi.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 4 | 2018-11-14T12:03:05.000Z | 2019-09-03T14:33:28.000Z | pi/pi.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | null | null | null | pi/pi.py | tlming16/Projec_Euler | 797824c5159fae67493de9eba24c22cc7512d95d | [
"MIT"
] | 1 | 2018-11-17T14:39:22.000Z | 2018-11-17T14:39:22.000Z | import sys
from ctypes import cdll
from ctypes import c_char_p, c_int, c_char
pilib = None
pi = None
def load_pi():
global pilib, pi
if pilib is None:
pilib = cdll.LoadLibrary("pi_lib")
if pi is None:
pi = pilib.pi
pi.argtypes = [c_int, c_char_p]
pi.restype = c_char_p
... | 20.944444 | 44 | 0.587533 |
af203f6fc3bb8489b4a068628d5078f6e64d033e | 1,833 | py | Python | app.py | javeed3157/Flask | d1c633bbe15046f7a9b2c35e3de8b01b8dc0f539 | [
"MIT"
] | 2 | 2021-07-01T16:43:48.000Z | 2021-07-01T16:43:50.000Z | app.py | javeed3157/Flask | d1c633bbe15046f7a9b2c35e3de8b01b8dc0f539 | [
"MIT"
] | null | null | null | app.py | javeed3157/Flask | d1c633bbe15046f7a9b2c35e3de8b01b8dc0f539 | [
"MIT"
] | null | null | null | from flask import Flask,render_template,request,redirect
from flask.wrappers import Request
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI']="sqlite:///todo.db"
app.config['SQLALCHEMY_TRACK_MODIFICATIONS']=False
db=SQLAlchemy(app)
class ... | 29.095238 | 63 | 0.66994 |
a58997e7607abdd94ad2c112a742fa5d0df93f39 | 890 | py | Python | tools/pythonpkg/tests/fast/api/test_dbapi09.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/tests/fast/api/test_dbapi09.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/tests/fast/api/test_dbapi09.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | # date type
import numpy
import datetime
import pandas
class TestNumpyDate(object):
def test_fetchall_date(self, duckdb_cursor):
res = duckdb_cursor.execute("SELECT DATE '2020-01-10' as test_date").fetchall()
assert res == [(datetime.date(2020, 1, 10),)]
def test_fetchnumpy_date(self, duckdb_... | 40.454545 | 98 | 0.685393 |
e99f89c87eb8d8c27f754d7e91db2bd9089ca767 | 3,401 | py | Python | menucard/tests/test_kundenansicht.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | 1 | 2021-01-23T21:42:10.000Z | 2021-01-23T21:42:10.000Z | menucard/tests/test_kundenansicht.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | menucard/tests/test_kundenansicht.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | from django.contrib.staticfiles.testing import StaticLiveServerTestCase, LiveServerTestCase
from selenium.webdriver.chrome.webdriver import WebDriver
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
import time
from crm.models import *
from django.test import Client
from django.co... | 55.754098 | 122 | 0.708615 |
75b0a5d8a828e386d7a355bf04a839c142bed273 | 6,801 | py | Python | src/onegov/wtfs/models/scan_job.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/models/scan_job.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/wtfs/models/scan_job.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.orm import Base
from onegov.core.orm.mixins import ContentMixin
from onegov.core.orm.mixins import TimestampMixin
from onegov.core.orm.types import UUID
from onegov.wtfs import _
from onegov.wtfs.models.municipality import Municipality
from sqlalchemy import Column
from sqlalchemy import Date
from sqla... | 33.502463 | 79 | 0.68931 |
f9cb3c4aaf87f25df77119ed0c2b62b233dc10b9 | 4,789 | py | Python | notebooks/utils/plots.py | data-science-workshops/machine-learning-workflow | b7880ccc6c573ee2e8d5d4353e22a2f3a1f45d13 | [
"MIT"
] | null | null | null | notebooks/utils/plots.py | data-science-workshops/machine-learning-workflow | b7880ccc6c573ee2e8d5d4353e22a2f3a1f45d13 | [
"MIT"
] | null | null | null | notebooks/utils/plots.py | data-science-workshops/machine-learning-workflow | b7880ccc6c573ee2e8d5d4353e22a2f3a1f45d13 | [
"MIT"
] | null | null | null | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import itertools
from sklearn.model_selection import learning_curve
def plot_confusion_matrix(cm, classes,
normalize=False,
title='Confusion matrix',
cmap=plt.cm.Blues... | 37.708661 | 103 | 0.636876 |
9bba2104200ce8ef8fa10ca5a338d9b8ed263ce8 | 2,856 | py | Python | Game.AI/driver.py | Golfyrs/ML.Experiments | 362d94357c2ca84a6a4cb127aec6d00c8b1756d4 | [
"Apache-2.0"
] | null | null | null | Game.AI/driver.py | Golfyrs/ML.Experiments | 362d94357c2ca84a6a4cb127aec6d00c8b1756d4 | [
"Apache-2.0"
] | null | null | null | Game.AI/driver.py | Golfyrs/ML.Experiments | 362d94357c2ca84a6a4cb127aec6d00c8b1756d4 | [
"Apache-2.0"
] | null | null | null | import ctypes
LONG = ctypes.c_long
DWORD = ctypes.c_ulong
ULONG_PTR = ctypes.POINTER(DWORD)
WORD = ctypes.c_ushort
INPUT_MOUSE = 0
INPUT_KEYBOARD = 1
INPUT_HARDWARE = 2
class MOUSEINPUT(ctypes.Structure):
_fields_ = (('dx', LONG),
('dy', LONG),
('mouseData', DWORD),
... | 21.636364 | 92 | 0.646008 |
b5d40ad66636bf86f3132cd25113603dfd080de2 | 358 | py | Python | staircase.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | staircase.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | staircase.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# https://www.hackerrank.com/challenges/staircase/
space = " "
stair = "#"
def staircase(n):
j = 1
l = 1
for i in range(n):
print(((n - j) * space) + (l * stair))
j += 1
l += 1
if __name__ == '__main__':
... | 12.785714 | 50 | 0.544693 |
f1c75921c39888eb53f362372a8fa7e6e8e9cc9c | 526 | py | Python | row_column_list_sort.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | row_column_list_sort.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | row_column_list_sort.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | #!/bin/python3
# https://www.hackerrank.com/challenges/python-sort-sort/
import math
import os
import random
import re
import sys
# n = no. of rows
# m = no. of columns (attributes)
# k = sort by K'th attribute. k is zero-indexed
if __name__ == '__main__':
nm = input().split()
n = int(nm[0])
m = int(nm[1]... | 20.230769 | 60 | 0.593156 |
b53cf55c5ccbd8591d5e1352f352c019c0b8e8ef | 368 | py | Python | nz_crawl_demo/day1/python3/demo3.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day1/python3/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/python3/demo3.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from urllib import request
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",
}
# req = request.Request(url="https://www.baidu.com",headers=headers)
# request.urlretrieve("http://www.renren.com","1.html")
url = 'https://... | 36.8 | 136 | 0.703804 |
a97ec373e15a4d4ee2559e64ee3ada83f9936678 | 2,169 | py | Python | python_lessons/MtMk_Test_Files/portfolio_allocation.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/portfolio_allocation.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/portfolio_allocation.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | import pandas_datareader as pdr
import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')
start = dt.datetime(2020,1,1)
end = dt.datetime.today()
share_aapl = pdr.get_data_yahoo('AAPL', start = start, end = end)
share_atvi = pdr.get_data_ya... | 41.711538 | 187 | 0.52651 |
9e058916cc2376da3e8473ec53bf0a27a5139e42 | 18,563 | py | Python | rfvision/datasets/arti.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 6 | 2021-09-25T03:53:06.000Z | 2022-02-19T03:25:11.000Z | rfvision/datasets/arti.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 1 | 2021-07-21T13:14:54.000Z | 2021-07-21T13:14:54.000Z | rfvision/datasets/arti.py | mvig-robotflow/rfvision | cc662f213dfe5a3e8864a6b5685a668a4436e397 | [
"Apache-2.0"
] | 2 | 2021-07-16T03:25:04.000Z | 2021-11-22T06:04:01.000Z | '''
ARTI is a dataset created by Liu Liu (@liuliu66)
'''
import os
import numpy as np
import open3d as o3d
import rflib
import json
from torch.utils.data import Dataset
import copy
from .pipelines import Compose
from .builder import DATASETS
INSTANCE_CLASSES = ('BG', 'box', 'stapler', 'cutter', 'drawer', 'scissor')
PA... | 39.92043 | 120 | 0.562463 |
9e07cf733d06837c5a79c65f1037a6160c37e2bd | 1,710 | py | Python | Scheduling/Python Implementation/roundrobin.py | G-M-C/S5-SSLAB | d56a968ffdf56c845cde7aa0cf047c88870ed011 | [
"MIT"
] | null | null | null | Scheduling/Python Implementation/roundrobin.py | G-M-C/S5-SSLAB | d56a968ffdf56c845cde7aa0cf047c88870ed011 | [
"MIT"
] | null | null | null | Scheduling/Python Implementation/roundrobin.py | G-M-C/S5-SSLAB | d56a968ffdf56c845cde7aa0cf047c88870ed011 | [
"MIT"
] | null | null | null | import pandas as pd
import operator
class Process:
def __init__(self):
self.pid=input("Enter Process ID : ")
self.bt=int(input("Enter Burst time : "))
def get_wt(self,x):
self.wt=x
def get_tat(self,x):
self.tat=x
def wait_time(p,qtm,n):
rbt=[]
t=0
for i... | 21.375 | 76 | 0.495322 |
9e0c60e3c97952949cfeacd99eec760ab50b5c89 | 1,310 | py | Python | 02.Sort/NY/B2578.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 02.Sort/NY/B2578.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 02.Sort/NY/B2578.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | # 백준 2578 - 빙고
import sys
line = 0
chulsuArr = []
for i in range (5) :
N = list(map(int, sys.stdin.readline().split()))
chulsuArr.append(N)
mcArr = ""
for i in range (5) :
M = input()
mcArr += (M + " ")
mcArr = mcArr.split()
def drawLine (arr, line) :
for i in range (len(arr)) :
if arr... | 18.985507 | 52 | 0.414504 |
1916674c6784afeada8100620ac7a477e66a1263 | 459 | py | Python | books/PythonAutomate/gui_automate/gui_screen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/gui_automate/gui_screen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/gui_automate/gui_screen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """gui_screen.py
화면 관련 작업 진행하기
"""
import pyautogui
# 스크린샷 찍기 (이미지 객체 불러오기)
im = pyautogui.screenshot()
# 픽셀 RGB 값 가져오기
print(pyautogui.pixel(0, 0))
try:
# 이미지 인식
loc = pyautogui.locateOnScreen("help_icon.png") # 좌표 얻기, 없으면 Error
print(f"loc: {loc}, left: {loc.left}")
# 이미지 인식 - 리스트 반환 (2개 이상 매칭이 필... | 19.956522 | 71 | 0.651416 |
193409473f6fe5280bf60849a6a940ed2203f14d | 5,968 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2geojson.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2geojson.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/net/net2geojson.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2007-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 41.158621 | 119 | 0.623157 |
27f4b287bcdaf90ff79c675f3dbfe98fc86ce17a | 5,732 | py | Python | python/data_sutram/pypath/PyPath/json_sqlite/7_get_vehicles_by_rec_boundary.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/data_sutram/pypath/PyPath/json_sqlite/7_get_vehicles_by_rec_boundary.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/data_sutram/pypath/PyPath/json_sqlite/7_get_vehicles_by_rec_boundary.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | """
Values obtained :
Minimum latitude of a stoppage : -6.786582
Maximum latitude of a stoppage : 25.40523
Minimum longitude of a stoppage : 22.382959
Maximum longitude of a stoppage : 88.963
Expected output :
{
"angle": 5,
"crowd": "null",
"dataSource": "Chemito-VTU",
... | 27.960976 | 210 | 0.553733 |
fd6e17d2e4aa49bac22ab97c94861d9891c44ca2 | 2,504 | py | Python | noc/e_6_2_arriving_behavior/viehicle.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | noc/e_6_2_arriving_behavior/viehicle.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | noc/e_6_2_arriving_behavior/viehicle.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | class Viehicle():
def __init__(self, x, y):
self.acceleration = PVector(0, 0)
self.velocity = PVector(0, 0)
self.location = PVector(x, y)
self.r = 8.0
self.maxspeed = 5
self.maxforce = 0.1
self.d = 25
def update(self):
self.velocity.add(s... | 34.30137 | 62 | 0.5627 |
474c85adc4f1039fdc14769c2a3ca91c46d1069f | 1,593 | py | Python | hello/hello_turtle.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2017-10-23T14:58:47.000Z | 2017-10-23T14:58:47.000Z | hello/hello_turtle.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | null | null | null | hello/hello_turtle.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2018-04-06T07:49:18.000Z | 2018-04-06T07:49:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import turtle
turtle.hideturtle()
turtle.shape("turtle")
turtle.color("red")
turtle.begin_fill()
turtle.pencolor("red")
turtle.circle(100)
turtle.end_fill()
turtle.color("orange")
turtle.begin_fill()
turtle.pencolor("orange")
turtle.left(90)
turtle.forward(10)
turtle.ri... | 15.93 | 25 | 0.753923 |
d0413f5631e54ddf878bdbe86fd1896e496c39b3 | 2,143 | py | Python | imwievaluation/student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/student.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | 1 | 2019-10-19T10:11:17.000Z | 2019-10-19T10:11:17.000Z | import sqlalchemy as db
from base import Base, UniqueMixin
from sqlalchemy.orm import relationship
class Student(Base):
"""
WARNING: To be sure to have no duplicates in the database,
class should be not instantiated via __init__, call
Student.get_unique(...) instead.
TODO: Maybe just catch duplic... | 36.948276 | 96 | 0.678955 |
d0fbae31a42f8c15f4d8c800b3f965567de6afac | 4,989 | py | Python | deprecated/examples/word2vec/network.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/examples/word2vec/network.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/examples/word2vec/network.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | import paddle
import paddle.fluid as fluid
def word2vec_net(dict_size, embedding_size, neg_num):
with fluid.unique_name.guard():
input_word = fluid.layers.data(name="input_word", shape=[
1], dtype='int64', lod_level=1)
true_word = fluid.layers.data(name='true_label', shape=[
... | 43.008621 | 82 | 0.607336 |
32a5c69c8bbcee9d4509ff9210e0847463559695 | 3,127 | py | Python | shinrl/solvers/discrete_vi/solver.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 34 | 2021-12-09T07:12:57.000Z | 2022-03-11T08:17:20.000Z | shinrl/solvers/discrete_vi/solver.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | null | null | null | shinrl/solvers/discrete_vi/solver.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 4 | 2021-12-11T07:48:01.000Z | 2022-03-01T23:50:33.000Z | """
Author: Toshinori Kitamura
Affiliation: NAIST & OSX
"""
from typing import List, Type
import gym
import shinrl as srl
from ._build_calc_params_mixin import BuildCalcParamsDpMixIn, BuildCalcParamsRlMixIn
from ._build_net_act_mixin import BuildNetActMixIn
from ._build_net_mixin import BuildNetMixIn
from ._build_ta... | 36.360465 | 93 | 0.679245 |
3efc631f53d312ad29b5c6b16ba9934612f1a14e | 550 | py | Python | Hackerrank_problems/Jumping on the Clouds/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 165 | 2020-10-03T08:01:11.000Z | 2022-03-31T02:42:08.000Z | Hackerrank_problems/Jumping on the Clouds/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 383 | 2020-10-03T07:39:11.000Z | 2021-11-20T07:06:35.000Z | Hackerrank_problems/Jumping on the Clouds/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 380 | 2020-10-03T08:05:04.000Z | 2022-03-19T06:56:59.000Z |
def jumpingOnClouds(c):
count = -1 # initialize
i = 0
while i < len(c): # iterate till the end of cloud
count += 1
if i < len(c) - 2 and c[i + 2] == 0: # will check next jump on cloud
i += 1
i += 1 # increment
return count # returns output
if __name__ == '__main... | 30.555556 | 102 | 0.587273 |
722271c187e10a593290b6ef8f713dc156a299c4 | 1,671 | py | Python | python/en/archive/dropbox/miscellaneous_python_files/input_dataframe.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/miscellaneous_python_files/input_dataframe.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/miscellaneous_python_files/input_dataframe.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
input_dataframe.py
# Sentiment Indentification for Roman Urdu
"""
import pandas as pd
#%%
def dummy_input( verbose=False ):
'''
returns a dummy dataframe 'df_preproc' used as a dummy input for debugging.
dummy vocabulary:
aa is only in 0.
... | 31.528302 | 79 | 0.535607 |
26350d2603426b467fb7409c55d17bb793c4f8ad | 5,809 | py | Python | zyannken.py | TOSKT/myripo89L | 70656cdf3694485e510b5bb5d6368fe061052e3e | [
"MIT"
] | null | null | null | zyannken.py | TOSKT/myripo89L | 70656cdf3694485e510b5bb5d6368fe061052e3e | [
"MIT"
] | null | null | null | zyannken.py | TOSKT/myripo89L | 70656cdf3694485e510b5bb5d6368fe061052e3e | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2018 TOSKT
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distrib... | 36.080745 | 94 | 0.53813 |
268274c068c5e28bbe3ea95dad31b0475db64e0e | 8,668 | py | Python | classification/train2.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | null | null | null | classification/train2.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | null | null | null | classification/train2.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | 2 | 2019-05-16T05:48:26.000Z | 2021-01-27T01:26:22.000Z | #Model using a focal loss function
import os
import cv2
import glob
import imgaug as aug
import numpy as np
import pandas as pd
import imgaug.augmenters as iaa
from skimage.io import imread
from skimage.transform import resize
from sklearn.model_selection import train_test_split
from tensorflow.python.keras.models ... | 34.396825 | 123 | 0.701892 |
cd94429622d8f93baadf55096510a31ca24e003a | 893 | py | Python | 10-HTTP Request Methods/10-a-GET/app.py | dikyindrah/Flask | 96f3f2b0db12b362d439d0c064dfa392ee14ad12 | [
"MIT"
] | null | null | null | 10-HTTP Request Methods/10-a-GET/app.py | dikyindrah/Flask | 96f3f2b0db12b362d439d0c064dfa392ee14ad12 | [
"MIT"
] | null | null | null | 10-HTTP Request Methods/10-a-GET/app.py | dikyindrah/Flask | 96f3f2b0db12b362d439d0c064dfa392ee14ad12 | [
"MIT"
] | null | null | null | from flask import Flask, request, redirect, url_for
app = Flask(__name__)
@app.route('/index')
def index():
return 'Ini adalah halaman index'
@app.route('/search', methods=['GET','POST'])
def search():
if request.method == 'GET':
# Pernyataan untuk satu query
buah = request.args.get('buah')
... | 30.793103 | 82 | 0.610302 |
26c079947030e60e646b24beed554b1a093ec2b6 | 903 | py | Python | SBTK_League_Helper/src/tools/msg_logging.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/src/tools/msg_logging.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/src/tools/msg_logging.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | from src.tools.strings import make_printable
from time import perf_counter, sleep
"""
This module should be accomodated to use the logging built-in module.
Calls to log_entry should be replaced by logging calls on later versions
"""
log_entries = 0
def log_entry(*args):
# For now, just printing (and dumbed do... | 25.083333 | 80 | 0.631229 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.