blob_id large_string | repo_name large_string | path large_string | src_encoding large_string | length_bytes int64 | score float64 | int_score int64 | detected_licenses large list | license_type large_string | text string | download_success bool |
|---|---|---|---|---|---|---|---|---|---|---|
04b6a7275193d314a8cd8296a20421257d5dc4b8 | Yurik-xie/mytest | /dropout.py | UTF-8 | 2,535 | 2.703125 | 3 | [] | no_license | import tensorflow as tf
from sklearn.datasets import load_digits
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import LabelBinarizer
# load data
digits = load_digits()
X = digits.data
y = digits.target
y = LabelBinarizer().fit_transform(y)
X_train, X_test, y_train, y_test = train_te... | true |
26d48b3a53077968c089e0c6e3c2a13f71a38f73 | all1m-algorithm-study/2021-1-Algorithm-Study | /week7/Group4/boj1987_ljwljw8541.py | UTF-8 | 683 | 2.875 | 3 | [] | no_license | #boj1987_ljwljw8541
import sys
input = sys.stdin.readline
R,C = map(int, input().split())
matrix = [list(map(lambda x: ord(x)-65,input())) for _ in range(R)]
alphabet = [True]*26
#오,아래,왼,위
kx = [0,1,0,-1]
ky = [1,0,-1,0]
answer = 0
def dfs(x,y,depth):
global answer
answer = answer if answer>depth e... | true |
e45b31cc096f291aede7c095d4ce862599c00646 | jifrankford/PLL | /PLL_src/Red Pitaya/file_server.py | UTF-8 | 784 | 2.9375 | 3 | [] | no_license | #file_server.py
#from time import sleep
import sys
import socket # Import socket module
port = int(sys.argv[2]) # Reserve a port for your service.
s = socket.socket() # Create a socket object
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
host = '10.84.241.80' ... | true |
177e469899b4510c68902252b2546d33f39fa620 | claytonkristiansen/ENGR217HW_6 | /plotdata.py | UTF-8 | 2,766 | 3.390625 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from math import sqrt
from statistics import mean
def OpenFile(file_name):
file = open(file_name)
# Check to see if the file is empty
row = file.readline() # read the first line that has column headers
if row == '':
quit('The file is empty.')... | true |
5c876e4d7604cb00085d4b2d131e66d5cdc12e54 | joyceho/afib | /afib/risk_scores/tests/test_npoaf.py | UTF-8 | 1,707 | 2.53125 | 3 | [
"MIT"
] | permissive | import numpy.testing as npt
from afib.risk_scores import npoaf, NPoafC
def test_npoaf():
tmp = npoaf(64, "None", False)
npt.assert_equal(tmp, 0)
tmp = npoaf(65, "None", False)
npt.assert_equal(tmp, 2)
tmp = npoaf(75, "None", False)
npt.assert_equal(tmp, 3)
tmp = npoaf(75, "Mild", False)
... | true |
9764c11f200f6c54afa9b3cd3e345fc57842bd23 | mari756h/The_unemployed_cells | /model/cbow.py | UTF-8 | 1,227 | 2.890625 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.nn.functional as F
class cbow(nn.Module):
def __init__(self, vocab_size, embedding_dim=20, padding=True):
super(cbow, self).__init__()
# num_embeddings is the number of words in your train, val and test set
# embedding_dim is the dim... | true |
44444baa6643bfe746214c656c5dc5e05e56cc72 | IIITSERC/SSAD_2015_A3_Group2_7 | /201402087/SpriteObject.py | UTF-8 | 903 | 3.34375 | 3 | [] | no_license | #! /usr/bin/env python
#######################################
# Author : Dhruv Khattar #
#####################################
import pygame
import os
class SpriteObject(pygame.sprite.Sprite):
""" The Basic Sprite Object Class """
""" Constructor Function """
def __init__(self,image_location)... | true |
646a05bf3402e31f75e444b5493df273af1cbcdd | laltin/pdf-tools | /overlay.py | UTF-8 | 1,732 | 3.171875 | 3 | [] | no_license | #!/usr/bin/python
import pyPdf
import sys
def single_overlay (input_file):
"""
returns a page object that is overlay of pages of a single pdf file
"""
input = pyPdf.PdfFileReader( open(input_file, "rb") )
page = input.getPage(0)
for i in range(1, input.getNumPages()):
page.m... | true |
fe200ac4d1b0128d1057efe6857fc8ebf4b2c47f | bghojogh/Fisher-Discriminant-Analysis | /FDA_kernelFDA/my_kernel_PCA.py | UTF-8 | 10,404 | 2.78125 | 3 | [] | no_license | import numpy as np
from numpy import linalg as LA
from numpy.linalg import inv
from sklearn.metrics.pairwise import pairwise_kernels
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import kneighbors_graph as KNN # https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighb... | true |
c9dfb93e25cb971e164646cfd844f5093c2450e0 | Roooooobin/Leetcode-Problems | /python/Odd Even Linked List.py | UTF-8 | 662 | 3.265625 | 3 | [] | no_license | """
# -*- coding: utf-8 -*-
# @FileName: Odd Even Linked List.py
# @Author : Robin
# @Time : 2019/6/10 22:23
"""
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def oddEvenList(self, head):
if head is None or head.next is None:
... | true |
d31b105c1ae2d831825af6fcdb8d93010f59bc9e | dpfried/rnng-bert | /scripts/evaluate.py | UTF-8 | 1,223 | 2.6875 | 3 | [] | no_license | import subprocess
from collections import namedtuple
ParseMetrics = namedtuple("ParseMetrics", ["recall", "precision", "f1", "complete_match"])
def eval_b(ref_file, out_file):
command = ["EVALB/evalb", "-p", "EVALB/COLLINS.prm", ref_file, out_file]
proc = subprocess.Popen(command, stdout=subprocess.PIPE)
... | true |
3a6d3dd57620d194dfa9b1c6516a23c52b45b39d | dheidenr/practices | /probabilities/task1.py | UTF-8 | 641 | 2.859375 | 3 | [] | no_license |
"""Из какого количества элементарных событий состоит пространство элементарных
событий для следующего испытания: производится выстрел по мишени, представляющей
собой 1010 концентрических кругов, занумерованных числами от 11 до 1010,
а затем столько раз кидается игральная кость, сколько очков выбито на мишени."""
if ... | true |
eb9fa1bf7d2e018441d72e8a578d25979e1f3121 | anits-prudhvi/leetcode | /linked_list.py | UTF-8 | 716 | 3.734375 | 4 | [] | no_license | # Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def convert_list(l:list)->ListNode:
h = None
t = None
for i in l:
if t == None:
t = ListNode(int(i),None)
h = t
else:
... | true |
4ba2e3743bcbc0a43eb31950037c6ba94919fe6a | nicholaskarlsen/FYS2150 | /lab9resist/prelab9.py | UTF-8 | 949 | 2.71875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
import FYS2150lib as fy
from PIL import Image
def ex_4():
# Ex 4
Fg = []
vt_2 = []
vt_3 = []
vt_4= []
file = open('terminal_hastighet.dat', 'r')
for line in file:
cols = line.split()
Fg.append( float(cols[0]) )
vt_2.... | true |
946ff3276dfff01ea00144e6b6274dde31472aae | Wang-Shuo/Data-Structure-and-Algorithm-Practice | /剑指offer/005.py | UTF-8 | 1,337 | 3.609375 | 4 | [] | no_license | # -*- coding: utf-8 -*-
class Solution:
def replaceSpace1(self, s):
if not isinstance(s, str):
return
temp = ''
for c in s:
if c == ' ':
temp += '%20'
else:
temp += c
return temp
def replaceSpace2(self, s):
... | true |
7d1fa31c5115fc11e8ae1b818d3ee006b5e79c45 | not-an-anagram-lover/Python-Hello-World | /Classes and objects/class_3.py | UTF-8 | 1,551 | 3.296875 | 3 | [] | no_license | x=0
y=0
z=0
m=[None]*100
w=[None]*100
c=[None]*100
class Ppp:
x=0
def tp(m,w,c):
sum1=0
for i in range(0,x):
sum1=sum1+m[i]+w[i]+c[i]
print(sum1,'is the total population overall')
def tmp(m):
sum2=0
for i in range(0,x):
sum2=sum2+m[i]
print(sum2,'is the total populatio... | true |
efff9068b26b3c3b2919d058dfba68e35e0867fc | ashleyjr/MLH | /Implementation/Python/test2.py | UTF-8 | 618 | 2.90625 | 3 | [] | no_license | import serial, time, sys
port = serial.Serial("/dev/ttyUSB0", baudrate=115200, timeout=0.1)
test=[ 100,0,1,1,1,1,
100,1,1,0,0,0,
100,5,
100,6,
100,2]
port.flushInput()
while(1):
for i in range(0,18):
sys.stdout.write( "Send " + str(i) + " " + str(test[i]) + " \n\r")... | true |
3bec9297bc46ced09602ced55d554e859567b3b2 | dcloud/thatsfantastic | /scraper/tests/test_tasks.py | UTF-8 | 3,942 | 2.671875 | 3 | [] | no_license | import unittest
import requests
import cachecontrol
import betamax
import os
import json
from unittest.mock import mock_open, patch
from scraper.tasks import *
from scraper.scrape import (HTMLScraper,)
from scraper.tests import (CASSETTES_DIR,)
BASE_TEST_URL = "http://httpbin.org/"
class TestScraperTasks(unittest.T... | true |
9b582f33d159ca595fe50029455016dda0586dee | jasontbradshaw/iron-tools | /playback.py | UTF-8 | 8,462 | 2.921875 | 3 | [] | no_license | import os
import logging
import threading
import time
import util
import rtp
import config
from it_exceptions import *
class Playback:
def __init__(self):
self.__lock = threading.Lock()
self.rtpplay = rtp.RTPPlay()
self.rtpplay_live = rtp.RTPPlay()
self.play_address =... | true |
b848dc1b6e8f3295ed6b45c555c2e7ab30cb7bb1 | Shivani-01/Python-Assignment | /Python-Asignment/Module 1/exercise4/math_eq_a.py | UTF-8 | 51 | 3.234375 | 3 | [] | no_license | x,y=2,5
Z=((x+3)*(x**2))/((y-4)*(y+5))
print(Z)
| true |
3ba71e4c1caa40f472d73f3e26ade942c2191fbb | htmlprogrammist/kege-2021 | /tasks_25/solutions/25-97.py | UTF-8 | 347 | 2.90625 | 3 | [] | no_license | start, end = 135790, 163228
def allDivs( x ):
divs = [1, x]
d = 2
while d*d <= x:
if x % d == 0:
divs.append( d )
if x // d > d:
divs.append( x//d )
d += 1
return sorted(divs)
for x in range( start, end+1 ):
divs = allDivs(x)[1:-1]
s = sum(divs)
if s > 460000:... | true |
7b9d14fe7917f5c3c641885e8fd85d82486016b8 | KalasJan/Project-Euler | /PE 48.py | UTF-8 | 117 | 3 | 3 | [] | no_license | # Problem 48
# last 10 digits of 1^1 + ... + 1000^1000?
print (sum(i**i for i in range (1, 1001)) % 10**10)
| true |
8c46c864f4a280092c97bcdba7e1435fb6f3b5d2 | Vardinghus/Studie | /5. semester/Statistisk inferens for lineære modeller/Scripts/Scripts/likelihood_function.py | UTF-8 | 425 | 3.140625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 05 14:49:56 2017
@author: Frederik Vardinghus
"""
import numpy as np
import math as m
import matplotlib.pyplot as plt
rep = 10
success = 3
def L(theta):
return m.factorial(rep)/(m.factorial(success)*m.factorial((rep-success)))*(theta**success)*(1-theta)**(rep-succe... | true |
04626e85a5ab6051a7baad5d155ebc47ef028eb7 | Stomach-ache/Codeforces | /416B.py | UTF-8 | 404 | 2.515625 | 3 | [] | no_license | m, n = map(int, raw_input().split())
s = []
for i in xrange(m):
a = map(int, raw_input().split())
tmp = [0] * n;
if i == 0:
for j in xrange(n):
tmp[j] = (0 if j == 0 else tmp[j-1]) + a[j];
s.append(tmp);
continue;
for j in xrange(n):
if j == 0:
tmp[j] = s[i-1][0] + a[0];
continue;
tmp[j] = a[j] ... | true |
33ec5869c2348281856817bd96f995eba77c5c7b | krlong014/PyNonlin | /NewtonBratu.py | UTF-8 | 1,232 | 3.296875 | 3 | [] | no_license | # Newton iteration for solution of the Bratu equation
# u''=exp(-u), u(-1)=u(1)=0
import numpy.linalg as npla
import scipy.sparse.linalg as spla
import numpy as np
import scipy.sparse as sp
from FDLaplacian1D import FDLaplacian1D
alpha = 0.5
# Set up an m by m matrix for FD discretization of the Laplacian
m = 5
K = ... | true |
feafac7be148074d3013150f869109c4a19285d8 | ylgh2011/nlp-hw12 | /hw1_segmentation/hexiangh/baseline_method/data_struct.py | UTF-8 | 1,357 | 2.859375 | 3 | [] | no_license | import sys, codecs, optparse, os
import operator
class Pdist(dict):
"The distribution function over given algorithm"
def __init__(self, filename, sep = '\t', N = None, missingfn = None):
self.maxlen = 0
for line in file(filename):
(key, freq) = line.split(sep)
try:
... | true |
05166c38e23b6303e226815091ace883882b288e | CaptainDasheng/PDielec | /Python/UnitCell.py | UTF-8 | 23,095 | 2.75 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python
#
# Copyright 2015 John Kendrick
#
# This file is part of PDielec
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied wa... | true |
8de13a9340bde21f3630d217eccd6eadadf18bc0 | Ale1120/Learn-Python | /Fase2-Manejo-de-datos-y-optimizacion/tema6-Funciones/argumentos-referencia.py | UTF-8 | 387 | 3.546875 | 4 | [] | no_license | #argumentos por referencia (lista,coleciones tuplas, diccionarios)
# su valor general
def doble_valor(numeros):
for i,n in enumerate(numeros):
numeros[i] *= 2
ns =[50,100,200]
doble_valor(ns)
ns
# truco para referencia lista[:] hacemso una copia
def doble_valor(numeros):
for i,n in enumerate(numeros... | true |
fa54671ef561532ef86552698a1cb8588d4ca088 | AmanMulani/python_web_crawling | /rank_reset.py | UTF-8 | 227 | 2.703125 | 3 | [
"MIT"
] | permissive | import sqlite3
conn = sqlite3.connect('spider.sqlite')
cur = conn.cursor()
cur.execute('''
UPDATE Pages SET new_rank = 1.0, old_rank = 0.0
''')
conn.commit()
cur.close()
print('The rank of all pages has been set to 1.0') | true |
59e98cdb40d052c171cb4cab65ba5ac02503fd35 | shaaker-ma/Operation-Research | /Assignment3/graphColoring.py | UTF-8 | 1,215 | 2.9375 | 3 | [] | no_license | import pulp as p
Lp_prob = p.LpProblem('Problem', p.LpMinimize)
numberOfVertex, numberOfEdges= input().split()
variable = []
constrains= []
lpMax = p.LpVariable("lpMax", lowBound = 0)
for i in range(int(numberOfVertex)):
temp = "x" + str(i)
variable.append(p.LpVariable(temp, lowBound = 0))
fo... | true |
03704f426cb0ea8e2a76d0a8b9d8d1b25464ef49 | oargudo/orometry-terrains | /analysis/peaksdata.py | UTF-8 | 8,435 | 2.671875 | 3 | [] | no_license | from utils.distributions import *
from utils.coords import *
# add extra columns with the metrics to the dataframe
def addExtraColumns(df):
# add extra columns to the dataframe
elevation = feet2m(df['elevation in feet'].values)
prominence = feet2m(df['prominence in feet'].values)
saddleElev = elevati... | true |
b06cb2eae7d9dd6d839fb49ee91079f9fcd8aebd | DanNixon/GettingStartedWithPythonAndRaspberryPi | /Chapter08/weather_xml_sax.py | UTF-8 | 2,345 | 2.921875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
#!/usr/bin/env python
from datetime import datetime
import urllib2
import xml.sax
from string import Template
import sys
class WeatherHandler(xml.sax.ContentHandler):
def __init__(self):
self._tag_buffer = list()
self._location_name = '?'
self._location_country =... | true |
990f2afa9048f46650761a3399b37cb8fda8fd53 | icyfig/Backend | /GCJ_20201_Qual_mural.py | UTF-8 | 4,833 | 3 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 26 23:49:21 2021
@author: icy
"""
stateg = ''
def main():
global stateg
test_cases = int(input())
for iii in range(test_cases):
full_inp_list=(input().strip()).split()
#x=cj
#y=jc
X = int(full_inp_list[0])
Y =... | true |
4d4efac15bac664866843f4a07ec6acc12d389ed | vieiraeduardos/easy-management | /CoordenacaoFacil/models/University.py | UTF-8 | 639 | 2.6875 | 3 | [
"MIT"
] | permissive | from CoordenacaoFacil import db
from bson.objectid import ObjectId
class University():
def __init__(self, id=0, name="", code=""):
self.id = id
self.name = name
self.code = code
def createUniversity(self, university=None):
db.universities.insert({
"name": universit... | true |
0e219fd9a64d45cb0cb89bf9229ba44f68686ed4 | mathFonseca/DB20182 | /06 - Extração de Informação/movie.py | UTF-8 | 3,532 | 2.9375 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-#
from imdb import IMDb
import psycopg2;
import psycopg2.extras;
import psycopg2.extensions
psycopg2.extensions.register_type(psycopg2.extensions.UNICODE)
psycopg2.extensions.register_type(psycopg2.extensions.UNICODEARRAY)
#Conecta ao banco de dados
try:
connection = psyc... | true |
7415a8ab7b4c3cc68aba5a4729d1cf2550dbd596 | Songbird0/unicode_printer | /unicode_zsclass_spaces.py | UTF-8 | 915 | 2.65625 | 3 | [] | no_license | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from pest_rule_builder import build_to_pest_rule
# See also: http://www.fileformat.info/info/unicode/category/Zs/list.htm
unicode_zclass_characters = [
0x0020, # SPACE
0x00A0, # NO-BREAK SPACE
0x1680, # OGHAM SPACE MARK (dash)
0x2000, # EN QUAD
0x2001, # ... | true |
82e62fe60286a9fd133d690d7714ed9eaf28549c | SagarSikchi/Math-Interpreter-using-Python | /project/tokens.py | UTF-8 | 665 | 2.921875 | 3 | [
"MIT"
] | permissive | # Creates tokens
from nodes import *
from dataclasses import dataclass
from enum import Enum
# class for tokentypes
class TokenType(Enum):
NUMBER = 0
PLUS = 1
MINUS = 2
MULTIPLY = 3
DIVIDE = 4
L_PARENTHESIS = 5
R_PARENTHESIS = 6
MODULO ... | true |
669467bfe435999d62ff73b76353064e6a588656 | JakubPac/Metody-Numeryczne | /Laboratorium 1/main.py | UTF-8 | 2,532 | 3.46875 | 3 | [] | no_license | import math
import numpy as np
import scipy
import numpy.linalg as nl
def cylinder_area(r:float,h:float):
"""Obliczenie pola powierzchni walca.
Szczegółowy opis w zadaniu 1.
Parameters:
r (float): promień podstawy walca
h (float): wysokosć walca
Returns:
float: pole powierzchni... | true |
b8b9f471d450884c1743b0ccd7616221c112d7f3 | RyanMcDonald/csc485c | /Assignment2/src/asymmetric_friendships.py | UTF-8 | 652 | 3.15625 | 3 | [] | no_license | '''
Created on Oct 3, 2013
@author: Ryan
'''
import sys
import MapReduce
mr = MapReduce.MapReduce()
def mapper(record):
person = record[0]
friend = record[1]
# If a person is friends with someone, emit a 1. Emit for the reverse as well, so that way if that person is also friends
# with this pe... | true |
ba6e08d861fba18a1d9a826a3795de8fa59935e6 | SWShin02/gas-cloud-simultation | /base code/bounce.py | UTF-8 | 923 | 3.140625 | 3 | [
"MIT"
] | permissive | import numpy as np
import matplotlib.pyplot as plt
# 상수 정의
G = 6.67384e-11; M = 5.972e24; R = 6.3781e+6
# 시뮬레이션 조건
r = R
v = 5800
angle_i = 0.25*np.pi
v_r = v*np.sin(angle_i)
r2w = v*np.cos(angle_i) * r
w1 = r2w/r**2
theta = 0
dt = 0.1
x = [r*np.cos(theta)]
y = [r*np.sin(theta)]
while -2 * np.pi ... | true |
3a86c4e49199abfc7d19b19902eaa8098269bbf4 | jasonwee/asus-rt-n14uhp-mrtg | /src/lesson_application_building_blocks/sched_overlap.py | UTF-8 | 389 | 3 | 3 | [
"Apache-2.0"
] | permissive | import sched
import time
scheduler = sched.scheduler(time.time, time.sleep)
def long_event(name):
print('BEGIN EVENT :', time.ctime(time.time()), name)
time.sleep(2)
print('FINISH EVENT:', time.ctime(time.time()), name)
print('START:', time.ctime(time.time()))
scheduler.enter(2, 1, long_event, ('first'... | true |
4305a7ead0d32950bf10809016dd767366080e2e | fulQuan/ift6266h15 | /liblearn/sandbox/preprocess_.py | UTF-8 | 5,647 | 2.578125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 22:43:26 2013
@author: francis
"""
import numpy as np
import theano as th
import theano.tensor as T
from os.path import join
from learn.utils import shared_x
from learn.utils import cast_x
from learn.layer ... | true |
a1989258b0570dd9c3fbe6ca66c4efccda1c0dda | DaHuO/Supergraph | /codes/CodeJamCrawler/16_0_1/Lilipoho/counting_sheep2.py | UTF-8 | 697 | 2.890625 | 3 | [] | no_license | import sys
def f(path):
with open(path) as fil:
lis=fil.readlines()
out= open("out.txt","a")
i=1
for j in range(int(lis[0])):
dic={}
num=int(lis[j+1])
n=0
if num ==0:
out.write ("Case #%d: INSOMNIA\n" %(i))
i+=1
con... | true |
25a9313e82da8c5f9849bab83446d50adc0f8ba6 | leejongcheal/algorithm_python | /python_book(이것이 코딩테스트다)/07 이진탐색/7-2 떡볶이 떡 만들기.py | UTF-8 | 931 | 3.1875 | 3 | [] | no_license | # 주어진 높이의 합값이 target보다 큰지 비교
# 같으면 0 작으면 -1 크면 1
def l_sum(L, mid, target):
sum = 0
for i in L[::-1]:
if i > mid:
sum += i - mid
else:
break
if sum == target:
return 0
elif sum > target:
return 1
else:
return -1
def binary_serach(L, t... | true |
9da1c244d7ef18c6e4566fe3d29093d215542ee9 | TangliziGit/dataquest | /Data Analysis with Pandas/Working with Missing Data/WwMD_template.py | UTF-8 | 13,194 | 4.15625 | 4 | [] | no_license |
# coding: utf-8
# In[1]:
from __future__ import print_function
# #Data Analysis with Pandas
# ##Working with Missing Data
# ###1: Finding the missing data
# Missing data can be presented a few different ways.
#
# In python, we have the None keyword and type, which indicates no value.
#
# pan... | true |
320700eac461fef02b6ad9793c4f4851dd9720a3 | mychristopher/test | /pyfirstweek/面向对象编程.py | UTF-8 | 3,137 | 3.6875 | 4 | [
"Apache-2.0"
] | permissive | #！/usr/bin/python
# -*- coding: utf-8 -*-
# class Student(object):
#
# def __init__(self, name, score):
# self.__name = name
# self.__score = score
#
# def get_name(self):
# return self.__name
#
# def get_score(self):
# return self.__score
#
# def set_score(self, score):... | true |
4c0c7211078f83a2528c1d9a679eef2e1cb8b50b | Saint-Venant/optimisation_cocktails | /Version0/TestPremierRecuit.py | UTF-8 | 5,574 | 2.671875 | 3 | [] | no_license | from Version0 import *
from PremierRecuit import *
import matplotlib.pyplot as plt
import numpy as np
#nombre de commandes à optimiser
nbCommandes = 20
## création des commandes
listeCommandes = []
temps = 0
for i in range(0, nbCommandes):
c = commande(i, temps)
temps += random.randint(0, 36)
#tire u... | true |
6790d808801e944269f4063dcaa36d651757595c | Insper/robot21.1 | /aula02/webcam.py | UTF-8 | 1,541 | 2.90625 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Este NÃO é um programa ROS
import cv2
import os,sys, os.path
import numpy as np
import fotogrametria
# ->>> !!!! FECHE A JANELA COM A TECLA ESC !!!! <<<<-
def calcular_angulo_e_distancia_na_image_da_webcam(img, f):
"""Não mude ou renomeie esta função
->>> !!!!... | true |
1e0aa1d8a68fc2ffe3e6c206b7abe12bd31ad9ea | akhilakr06/pythonluminar | /Basic_test/q6.py | UTF-8 | 480 | 3.15625 | 3 | [] | no_license | n=int(input("enter the limit"))
def sum_prime(n):
sum=0
for i in range(2,n+1):
j=2
for j in range(2,i):
if (i%j)==0:
j=i
break
if j is not i:
sum+=i
print("sum of prime numbers up to 50:",sum)
sum_prime(n)
# l=1
# u=50
# for n... | true |
066c61ef2b14a67ad5879045962e16c70006a5c4 | ruoilegends/NGUYENTANLOC_43807_CA18A1A | /NguyenTanLoc_43807_CH07/Exercises/Page218_Exercise_06.py | UTF-8 | 269 | 2.734375 | 3 | [] | no_license | """
Author: Nguyen Tan Loc
Date: 15/10/2021
Problem:
The Turtle class includes a method named circle. Import the Turtle class, run
help(Turtle.circle), and study the documentation. Then use this method to
draw a filled circle and a half moon.
Solution:
....
""" | true |
cc068004a9143abdadd4c111ab0609828106ca2f | rhdedgar/toolsets | /python/interview/reverse_e.py | UTF-8 | 302 | 3.609375 | 4 | [] | no_license | """ Find the numbers not included in the provided list, within its range. """
from __future__ import print_function
# using extended slice sequence method
ITEM_0 = 'wasitacatisaw'
#ITEM_1 = ''
print(ITEM_0)
ITEM_REV = ITEM_0[::-1]
if ITEM_0 == ITEM_REV:
print('yep!')
else:
print('nope!')
| true |
71b6dd1dc2091d0523053a6b3581533875c9d825 | Mirela22/Formation-Mars---Mai-2017 | /1-Exercices Programmation en python/Tableaux/exo3tab.py | UTF-8 | 296 | 3.46875 | 3 | [] | no_license | import random
tab=[]
nbrepositif=0
nbrenegatif=0
for i in range (0,10):
b=random.randint (0,100)
tab.append(b)
if b>0:
nbrepositif+=1
else:
nbrenegatif+=1
print (tab)
print("total de nombre positif: ", nbrepositif)
print("total de nombre negatif: ", nbrenegatif)
| true |
b2e543a13104b90318d24854ff29ee2a9bda50cf | NarayanAdithya/Flask_Works | /selfclientserver/plot.py | UTF-8 | 695 | 2.78125 | 3 | [] | no_license | import plotly
import plotly.graph_objs as go
import plotly.express as px
import pandas as pd
import numpy as np
import json
def create_plot(x):
new_content=[]
for i in range(len(list(x.keys()))//3):
Task=x['Task'+str(i)+str(1)]
Start=x['Start'+str(i)+str(2)]
Finish=x['Finish'+str(i)+st... | true |
7946097b84e287e05ec1866fa302f10b3fa9ddfc | alwaysra/PythonDev | /ra_3y_abcj.py | UTF-8 | 181 | 3.203125 | 3 | [] | no_license | a=0
b=0
c=0
for a in range(0,10):
for b in range(0,10):
for c in range(0,10):
if((a*100+b*10+c)+(a*100+a*10+c)==(b*100+c*10+c)):
print(a,b,c) | true |
20c314ea969c63f77cfac572d900ab5a43880e6b | tinglucomputer/RGMTS | /getWords/wordtodocument.py | UTF-8 | 2,234 | 2.640625 | 3 | [] | no_license | __author__ = 'liupeng'
import os
import re
import optparse
import sys
from Porter import PorterStemmer
LEN=2665
dicts={}
p = PorterStemmer()
start=1
def getword(filename):
global start
print start,filename
start+=1
r=open(rfc_path+filename,'r')
string=r.read()
s=re.findall("[a-z]{2,}",str.l... | true |
a327b26f0ecef07e61d51e365fc09bfd2ff71275 | S-C-U-B-E/CodeChef-Practise-Beginner-Python | /snake procession.py | UTF-8 | 184 | 2.984375 | 3 | [] | no_license | for _ in range(int(input())):
l=int(input())
s=input().upper()
s=s.replace('.','')
print("Valid"*bool(2*s.count("HT")==len(s))+"Invalid"*bool(2*s.count("HT")!=len(s)))
| true |
14c3a656a52f0d72bcb928c23e88e53f2d39e2d5 | TrendingTechnology/pyrustic | /pyrustic/manager/handler/add_handler.py | UTF-8 | 9,581 | 3.078125 | 3 | [
"MIT",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | from pyrustic.manager.misc import funcs
import os
import os.path
import pkgutil
class AddHandler:
"""
Description
-----------
Use this command to add a file, a package or a regular folder
to the Target.
Pyrustic Manager will assume that files with extension ".py"
are modules.
Some conv... | true |
ed1550a8b2b0191e5203759b7734fee69c6dfbde | florianhartig/pyecology | /src/analysis/latin_hypercube.py | UTF-8 | 463 | 3.171875 | 3 | [] | no_license | '''
Created on 23.09.2010
@author: Florian Hartig http://florianhartig.wordpress.com/
'''
import numpy as np
def get_hypercube_indices(dimensions, times):
out = np.empty((times, dimensions))
for i in xrange(dimensions):
arr = np.arange(times)
np.random.shuffle(arr)
... | true |
1cbaf3a2c972f48a3fafe555d1fa6088eceb6032 | pvacey/CTA | /cta.py | UTF-8 | 5,140 | 2.84375 | 3 | [
"MIT"
] | permissive | #!venv/bin/python
"""An efficient way to check your train schedule."""
import json
from datetime import datetime
import sys
import yaml
import requests
def get_raw_stations():
"""Gets the raw station information"""
return requests.get('https://data.cityofchicago.org/resource/8mj8-j3c4.json').json()
def get_li... | true |
8110e095d24e3f6542fc791d5cc00dad699028d3 | nikeftekhar/compas_assembly | /examples/stack_interfaces.py | UTF-8 | 1,053 | 2.796875 | 3 | [
"MIT"
] | permissive | """Identify the interfaces of a stack.
1. Load a stack from a json file
2. Identify the interfaces
3. Export to json
4. Visualise
"""
from math import pi
import compas_assembly
from compas.geometry import Rotation
from compas_assembly.datastructures import Assembly
from compas_assembly.datastructures import assemb... | true |
fb4729b426211f08e562a064afe504f342b16885 | Easyty123/SEEX30 | /GRB/HC_plotSweepW.py | UTF-8 | 735 | 2.515625 | 3 | [] | no_license | import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import Load
def main():
nStrategies = 7
results = Load.loadFloatMatrix('HC_sweepW', nStrategies, nStrategies)
plt.figure()
plot = plt.imshow(results, cmap = mpl.cm.Greys, norm = mpl.colors.Normalize(vmin = 0, vm... | true |
b81345502129d87ad97dfb1facb5db245cec3254 | FireinDark/leetcode_practice | /13_roman_to_int.py | UTF-8 | 450 | 3.4375 | 3 | [
"MIT"
] | permissive | class Solution:
def romanToInt(self, s: str) -> int:
roman_dict = {'I':1, 'V':5, 'X':10, 'L':50, 'C':100, 'D':500, 'M':1000}
num = 0
for i in range(len(s)):
if i<len(s)-1 and roman_dict[s[i]] < roman_dict[s[i+1]]:
num -= roman_dict[s[i]]
else:
... | true |
fa61f7d7f708821fead172354deafd41ac5f5a90 | hoyeoness9837/Algorithm-Sources | /python_essentials/non_iterable_types/set/Set.py | UTF-8 | 723 | 3.734375 | 4 | [] | no_license | ####Set####
# No Overlap, Non-iterable, not subscriptable
# useful for checking if any data have been appeared
data = set([1, 1, 2, 3, 4, 4, 4, 5])
print(data)
#result = {1, 2, 3, 4, 5} the overlapping numbers are removed.
data = {1, 1, 2, 2, 3, 4, 5, 6, 7, 7, 7}
print(data)
#result = {1, 2, 3, 4, 5, 6, 7} the overl... | true |
b0bbcf73ed832ac6f667dda54a4b8b098080d6fc | Schwusch/conky_advent | /advent.py | UTF-8 | 2,537 | 2.703125 | 3 | [] | no_license | #!/usr/bin/python3
# coding: utf-8
from concurrent.futures import ThreadPoolExecutor
import requests
import bs4
ADVENTOFCODE = 'http://adventofcode.com/2016/leaderboard/private/view/YOUR_PRIVATE_LEADERBOARD_NR.json'
ADVENT_COOKIE = {'session': 'PUT_COOKIE_HERE'}
DJUL = 'https://djul.datasektionen.se/toplist'
DJUL_COOK... | true |
477760c3358cc91771cd7897bcb31198f07bfbeb | nightwiz/Learn-Python | /面向对象/隐藏对象的属性.py | UTF-8 | 533 | 4.4375 | 4 | [] | no_license | class Dog:
def set_age(self, new_age):
if new_age>0 and new_age<=100:
self.age = new_age
else:
self.age = 0
def get_age(self):
return self.age
dog = Dog()
# dog.age = -10
# dog.name = "小白"
# print(dog.age)
# 用方法来替代 直接获取属性的值
# 定义属性的时候不要让外部直接调用，而是通过方法去获取，例如get_... | true |
caf44d6a419915418e35d7db61f1515c51f4f12b | ztzztztt/Py2CByCython | /utils/utils.py | UTF-8 | 3,996 | 2.5625 | 3 | [] | no_license | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@Author : zhoutao
@License : (C) Copyright 2013-2017, China University of Petroleum
@Contact : zhoutao@s.upc.edu.cn
@Software: PyCharm
@File : utils.py
@Time : 2020/3/21 12:43
@Desc : 编译项目的工具文件
"""
import os
from shutil import rmtree
from config import c... | true |
5045def73466e511e034564b119ba4b9915633c3 | mehadi-trackrep/StockMarketDataManagementApp | /main.py | UTF-8 | 6,844 | 2.6875 | 3 | [] | no_license | from tkinter import *
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox, filedialog
import csv
import os
import json
# from database_utils import *
import mysql.connector
##TODO - Database
mydb = mysql.connector.connect(host="localhost", user="root", passwd=None, port=3306, database="tkinter... | true |
5bfa5e40b1a12318c48f989ee9fe6dee6070b632 | kchammas/DD2434-assignment-1 | /problem7/problem_7.py | UTF-8 | 15,492 | 3.203125 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from sklearn import decomposition
from sklearn import manifold
import argparse
# Function that loads the dataset and returns dataset, annotations for the points as well as color indexes for the points
#
# Input:
# path-string to the dataset fi... | true |
a0bc0abf1dfadf2b103354a83b052c0d8853548e | sbalanovich/cs182finalproject | /project.py | UTF-8 | 1,956 | 2.53125 | 3 | [] | no_license | import sys
import worker
import task
import local
import csv
from constraints import print_cost_summary
if __name__ == '__main__':
# initialize workers
with open("csv/small/worker_skill_increasing_difficulty/task_skill_increasing_rareness/workers.csv", "rb") as workersFile:
reader = csv.reader(workersF... | true |
2249ee1362579aca258a431de2cc9466fc419225 | lijianying10/chart4old_PIC | /src/graph_maker.py | UTF-8 | 3,313 | 2.984375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 17 10:40:58 2013
@author: jianyingli
"""
from pylab import *
import matplotlib.axes as ax
import matplotlib.pyplot as plt
import numpy as np
class graph_maker(object):
title = ''
xtitle = ''
ytitle = ''
filename = ''
color=['b','g','r','c','m','y']
... | true |
d1221ae36ed239517cbd7780bb9e26345de465b2 | TrendingTechnology/libacbf | /tests/test_editor/test_edit_book.py | UTF-8 | 2,624 | 2.609375 | 3 | [
"BSD-3-Clause"
] | permissive | import pytest
from libacbf import ACBFBook
def test_references(results_edit):
with ACBFBook(results_edit / "test_references.acbf", 'w', archive_type=None) as book:
book.book_info.book_title['_'] = "Test Edit references"
book.references["test_ref"] = {'_': "This is a new test reference."}
... | true |
29cac77719084215b4420ea7a7b57fc588bac1c4 | fainle/data_structure | /python/basic/single_linked_list_by_list.py | UTF-8 | 2,554 | 3.96875 | 4 | [] | no_license | class Node:
"""
基础节点
"""
def __init__(self, val):
self.val = val
self.next = None
class SingleLinkedList:
"""
单链表
"""
def __init__(self):
self.head = None
self.length = 0
def add(self, val):
"""
增加一个节点
:param val:
:... | true |
39aacffb8d7a77588cb06c559d6261b2efd8fc14 | DevelopperIA/Scraping_data_weather | /parallel_scraping_meteo_France.py | UTF-8 | 3,200 | 2.921875 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
import threading
import math
import time
start_time = time.time()
dates = []
temperature = []
list_code = []
list_all_src = []
year = input('add the year: ')
def parallel_scraping(start, end):
for w in n... | true |
9999f39402124771f4cc13fd377a7a724616126a | amanpanda/flex-your-sighs | /lexicon_generator.py | UTF-8 | 11,043 | 3.375 | 3 | [] | no_license | from random import sample
from numpy.random import choice
from numpy.random import random
import math
from enum import Enum
import pandas as pd
import os
MAX_CHOICE_SIZE = 100000000
# Approaches for homophones
class HomophoneStrat(Enum):
# max probability between homophones
maxprob = 0
# add probabilitie... | true |
cca16836c3561d7560205a8d6bacc7228714bd43 | bsgreenb/py-chess | /check.py | UTF-8 | 1,463 | 3.625 | 4 | [] | no_license | import moves
# Gets the square of the current turn's king
def get_king_square(board, current_turn):
for row in range(8):
for col in range(8):
piece = board[row][col]
if piece and piece.piece_type == "K" and piece.team == current_turn:
return [row, col]
def is_square... | true |
909bf46d3bb5092663e934c5451229d095a7582a | Jaggar2018/financial_in_lab | /extract_report.py | UTF-8 | 3,323 | 2.609375 | 3 | [] | no_license | import requests
import pandas as pd
import tushare as ts
import re
def get_html_text(url):
hd = {'user-agent': 'Chrome/10'}
r = requests.get(url,headers=hd)
r.encoding = r.apparent_encoding
try:
r.raise_for_status()
return r.text
except: # 网页请求错误
return -1
de... | true |
79fdd2ea174bd01490897ad95e5fe2777b4de9bd | gineer01/programming-challenges | /python/UVA/299_train_swapping.py | UTF-8 | 501 | 3.328125 | 3 | [
"MIT"
] | permissive | import fileinput
def solve(l, train):
swap = 0
for i in range(l):
carriage = l - i
position = train.index(carriage)
expected = carriage - 1
swap += expected - position
train.remove(carriage)
return swap
def main():
f = fileinput.input()
t = int(next(f))
... | true |
1e4388ad6e89a20c6b98f3e98344e929b09efcf3 | darkost12/CounterReworked | /config.py | UTF-8 | 2,144 | 2.671875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
import json
import sys
import os
from web3 import Web3
from eth_account import Account
def getenv_or_exit(name):
""" Gets the required variable from the environment. Closes the application
with error if it's not set.
Args:
name (string) - The name of required environment vari... | true |
4b8fdcf735e4c1c18202d6e7438e5373c0d369e0 | ISS-Kerui/EAST | /box.py | UTF-8 | 904 | 2.71875 | 3 | [] | no_license | import cv2
import numpy as np
def get_sub_imgs(img_path, text_path, index):
img = cv2.imread(img_path)
points = []
with open(text_path) as f:
for line in f.readlines():
line = line.strip().split(',')
for i in range(0,8,2):
points.append((int(line[i]),int(line[i+1])))
points = np.array(points)
for i in... | true |
1f93c875ef7293215378fadf5cbb6bad03eab451 | vbonifaci/westeros-crawler | /crawl-links.py | UTF-8 | 1,229 | 2.6875 | 3 | [] | no_license | #!/usr/bin/python2.7
# Requires Python 2.7+
import sys, string, urllib2, os, argparse
from bs4 import BeautifulSoup
import networkx as nx
BASE = 'http://awoiaf.westeros.org/index.php/'
opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')]
def read_dic(fname, side):
dic = {}
file = open... | true |
25940c636843f1be46e621c4176c88b5cf1469a8 | KeerthipriyaJawahar/Python-Programming | /Beginner Level/Greatestof3.py | UTF-8 | 278 | 4.09375 | 4 | [] | no_license | a = input("Enter the 1st number: ")
b = input("Enter the 2nd number: ")
c = input("Enter the 3rd number: ")
if(a<0 or a>=0 or b>0 or b<=0 or c>0 or c<=0):
if(a<b>c):
print b
elif(b<c>a):
print c
else:
print a
else:
print("Invalid Input")
| true |
d92efb742e25d5296e0521ccb8b3ce9ef28640af | lion963/Python-Advance-Repo | /Exercise Multidimensional Lists/Matrix Shuffling.py | UTF-8 | 760 | 3.140625 | 3 | [] | no_license | rows, columns = map(int, input().split())
matrix = []
for i in range(rows):
matrix.append([])
matrix[i] += input().split()
while True:
line = input()
if line == 'END':
break
command_list = line.split()
if command_list[0] == 'swap' and len(command_list) == 5:
row1 = int(comma... | true |
1ab9920840e9cdfac48b73e42d39637a78e327d4 | abhilashkollipara/GUVI | /play_28.py | UTF-8 | 41 | 3.140625 | 3 | [] | no_license | n=input()
n=n.split()
print(''.join(n)) | true |
c31e6baf1382428927d8dc4e094075d6f884a713 | Hermotimos/Learning | /comprehensions.py | UTF-8 | 1,080 | 4.5 | 4 | [] | no_license | """
This file is for learning and exercise purposes.
Topics:
- comprehensions
Sources:
https://dbader.org/blog/list-dict-set-comprehensions-in-python
"""
print('LIST COMPREHENSION')
x = [x * 2 for x in range(10)]
print(x)
# simpler:
x = list(range(0, 19, 2))
print(x)
print('SET COMPREHE... | true |
276a20bbb7f2ba310ab48c9a0377080aa9fdf1f5 | alopes-sts/Python-Machine_Learning | /Modulo2/4.1._exercicio_extratrees.py | UTF-8 | 1,547 | 3.203125 | 3 | [] | no_license | import pandas as pd
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_score
pd.set_option('display.max_columns', 23)
arquivo = pd.read_csv('C:/Onedrive/Curso_Machine_Learning/Modulo 2/mushroom_dataset.csv')
arquivo... | true |
a99afe7abbeb433825921df42bfec2f6484fc631 | gracejhan/MapReduce | /MapReduce/task5/reduce.py | UTF-8 | 1,856 | 3.109375 | 3 | [] | no_license | #!/usr/bin/env python
# Big Data Assignment 1 - Task5
# Jungwoo Han (jh5990@nyu.edu)
from operator import itemgetter
import sys
current_registration_state = None
registration_state = None
current_plate_id = None
plate_id = None
count = 0
max_count = 0
max_reg_state = None
max_plate_id = None
# input comes from STDI... | true |
7bec721ab1571806c0cad5a96646d57a4d7d260e | kuldeepthesavior/Learning-ML-Begining | /tcs_fresco_oops_python_14_assessment.py | UTF-8 | 178 | 2.90625 | 3 | [] | no_license | import cProfile
def f1():
f= [i**2 for i in range(1,21)]
return f
def f2():
g = (x**2 for x in range(1,21))
return g
cProfile.run('f1()')
cProfile.run('f2()')
| true |
da4daf44f3bf97b7e4a655246ecb3c0315a58df6 | ajaypy/web | /trees_and_graphs/merge_intervals.py | UTF-8 | 2,748 | 3.828125 | 4 | [] | no_license | """
Given a list of intervals, merge them
"""
# Connected Components
"""
1.iterate over all the components and collect all that overlap
2.merge the overlapping
The merge is recursive
3.use hashmap to keep trace of the overlapping components
Space:
O(N ** 2)
Time:
O(N ** 2)
"""
import collections
class mer... | true |
1da3f915b46b797298920a1a694bc5753e1a10d2 | 6igsm0ke/Introduction-to-Programming-Using-Python-Liang-1st-edtion | /CH11/EX11.37.py | UTF-8 | 1,737 | 3.9375 | 4 | [] | no_license | # 11.37 (Simulation: self-avoiding random walk) Write a simulation program to show that
# the chance of getting dead-end paths increases as the grid size increases. Your program
# simulates lattices with sizes from 10 to 80. For each lattice size, simulate a
# self-avoiding random walk 10,000 times and display the prob... | true |
fc15c59f3cefd8fe487f39cabc850ec694d11e86 | nekoTheShadow/algorithm-and-data-structure | /ch11/q_11_01.py | UTF-8 | 1,110 | 3.046875 | 3 | [] | no_license | class UnionFind(object):
def __init__(self, n):
self.parent = list(range(n))
self.size = [1]*n
def find(self, x):
if self.parent[x] == x:
return x
self.parent[x] = self.find(self.parent[x])
return self.parent[x]
def union(self, x, y):
... | true |
e9a470905b1b08371abc4c376aec3f01371aa1b0 | xingyuchen515/Tech-savy | /if demo.py | UTF-8 | 2,165 | 3.796875 | 4 | [] | no_license | import math
# weight = input('What is your weight in lbs?')
# height = input('What is your height in inches?')**2
# weight = float(weight)
# height = float(height)
#
# BMI = 703 * weight / (height * height)
#
# if BMI >= 30:
# print('You are in obesity.')
# elif 25 <= BMI <= 29.9:
# print('You are overweight.... | true |
661867f0aa6dcc6ca88b8c2f9b2c9f709f7246b2 | ilkhem/market-report | /analysis/analysis.py | UTF-8 | 8,465 | 2.828125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 30 14:47:35 2016
@author: ilkhem
"""
__author__ = 'ilkhem'
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import datetime as dt
def get_closest_minute(t):
"""
returns a datetime.datetime object giving the closest minute to a g... | true |
f27efc3160bfb501a14ad4ea40de273535592675 | alexboyd92/TestLabScripts | /python_scripts/host_scripts/getGVMreadyForUpdate.py | UTF-8 | 608 | 2.640625 | 3 | [] | no_license | '''Quick script to disconnect the internal network and reconnect to a NAT network with internet '''
import subprocess
from time import sleep
def runCommand(bashCommand):
process = subprocess.Popen(bashCommand.split(), stdout=subprocess.PIPE)
output, error = process.communicate()
return 0
def main():
#t... | true |
cd3267da5d9d5bd8833e4592a72511d177d32887 | 987Frogh/Makehuman | /gaphor/storage/storage.py | UTF-8 | 14,713 | 2.609375 | 3 | [
"Apache-2.0"
] | permissive | """
Load and save Gaphor models to Gaphors own XML format.
Three functions are exported:
load(filename)
load a model from a file
save(filename)
store the current model in a file
"""
__all__ = ["load", "save"]
import gc
import io
import logging
import os.path
import uuid
import gaphas
from gaphor import UML... | true |
8fe7307b512e4247e3654381ebb6ac5b13dc4527 | frogbootz/Python_Diary | /Diary_menu.py | UTF-8 | 592 | 3.234375 | 3 | [] | no_license | from tkinter import *
import sqlite3
#defining database paramters
conec = sqlite3.connect('name.db')
cur = conec.cursor()
cur.execute("""CREATE TABLE name (
first_name text
)""")
#creating the first text box for name
name_var=Tk()
label_1=Label (name_var, text="Please ... | true |
eac25d34d9e33f8621dd22126f16797a31a0e3c2 | IrinaNizova/json-compare | /load_images/load_images.py | UTF-8 | 785 | 2.71875 | 3 | [] | no_license | import argparse
import os
import requests
import io
import builtins
ip = 'http://localhost'
parser = argparse.ArgumentParser(description='Image loader')
parser.add_argument('path', help='Path to folder')
parser.add_argument('--ip', help='Server ip')
args = parser.parse_args()
if args.ip:
ip = args.ip
if not os.path.i... | true |
644d168a4dc97fc4e5a0bc58874ca1ff8eb55c92 | sykesjd/echonest-research | /gradualswitch/aqplayer.py | UTF-8 | 2,431 | 2.765625 | 3 | [] | no_license | __author__ = 'lukestack'
import pyaudio
import wave
import tempfile
from echonest.remix.support.ffmpeg import ffmpeg
class Player:
"""
Plays an echonest.remix.audio.AudioQuantum given an echonest.remix.audio.LocalAudioFile.
It opens a pyaudio stream and feeds it the wave frames to be played.
"""
d... | true |
855a3e2e55561f8ad1085584fb630d3911756f92 | TaurusOlson/Infiniworld | /src/world/__init__.py | UTF-8 | 18,732 | 3.25 | 3 | [] | no_license | """World model."""
# Standard library.
import logging
import math
from operator import attrgetter
import weakref
# My stuff.
import events
import evtman
import geometry
import materials
import physics
import tile
LOGGER = logging.getLogger('world')
class WorldError(RuntimeError):
"""Base exception class for the w... | true |
3cb0a6a7f0be04e925802f76490a63a0acf30bbf | HenriqueSaKi/Database-Covid-Test | /Database-Covid-Test.py | UTF-8 | 1,462 | 3.0625 | 3 | [] | no_license | import sqlite3
class sqlite_database():
def __init__ (self):
pass
def createTable(self,con):
con.execute('''CREATE TABLE IF NOT EXISTS register_covid_patient (ID INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, occupation TEXT, age INTEGER, test TEXT)''')
def insertValues(s... | true |
fb593e319568f46e5054067648c47441655d14e8 | sohailos/PuzzleSolver | /word_ladder_puzzle.py | UTF-8 | 5,220 | 3.578125 | 4 | [] | no_license | from puzzle import Puzzle
seen_words = set()
class WordLadderPuzzle(Puzzle):
"""
A word-ladder puzzle that may be solved, unsolved, or even unsolvable.
"""
def __init__(self, from_word, to_word, ws):
"""
Create a new word-ladder puzzle with the aim of stepping
from from_word t... | true |