blob_id large_string | language 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
aafc02e8524419241b46dfd9b3f2ccacd0104bf5 | Python | matcom/simspider | /Redist/pyfuzzy/doc/plot/gnuplot/doc.py | UTF-8 | 14,031 | 2.765625 | 3 | [] | no_license | # -*- coding: iso-8859-1 -*-
#
# Copyright (C) 2009 Rene Liebscher
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation; either version 3 of the License, or (at your option) any
# later ver... | true |
f2bdfc0c28f24d343005c2eeee77deddfc91538c | Python | MaksimShumko/scraper | /OtomotoScraper.py | UTF-8 | 1,356 | 2.78125 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import locale
import numpy as np
locale.setlocale(locale.LC_NUMERIC,"pl")
link = ("https://www.otomoto.pl/osobowe/bmw"
"?search%5Bfilter_enum_damaged%5D=0&search%5Bfilter_enum_registered%5D="
"1&search%5Bfilter_enum_no_accident%5D=1&search%5Border%5D=filter_... | true |
9ff4d66f722a253084d1af11e611cbac23f9fb9f | Python | Aasthaengg/IBMdataset | /Python_codes/p02646/s632645984.py | UTF-8 | 134 | 2.75 | 3 | [] | no_license | a,v=map(int,input().split())
b,w=map(int,input().split())
t=int(input())
k=abs(b-a)
s=w-v
print("YES" if s<=0 and k+t*s<=0 else "NO") | true |
74af42fca4b53c73eb3f3dbf30bccd90dbd95928 | Python | fengmingshan/python | /业务感知_提取eob_bob(顺序版).py | UTF-8 | 1,852 | 2.640625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 3 15:34:29 2018
@author: Administrator
"""
import os
import json
import base64
import gzip
from urllib import parse
from io import BytesIO
file_path = r'D:\Packet'+'\\'
out_path = r'D:\eob_bob'+'\\'
file_name = '20180110-1.txt'
file = file_path + file_name
eob_file_o... | true |
7b5c8ee694908e583f73925bdca0ff67566ae3c8 | Python | garysb/skirmish | /server/lib/logger.py | UTF-8 | 7,199 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python3
# vim: set ts=8 sw=8 sts=8 list nu:
import threading
import socket
import time
from queue import Queue
from queue import Empty as QueueEmpty
class Logger(threading.Thread):
""" The Logger class/thread creates a socket server to handle our
connections from a client system. The sockets interact... | true |
00126b97fadb7ff67275c280b2ed75ed5c407e25 | Python | elomedah/iris-2020 | /MapReduce-Python-master/Exemlpe 6/mapper.py | UTF-8 | 606 | 3.53125 | 4 | [
"MIT"
] | permissive | #!/usr/bin/env python
import sys
wordList = dict()
# input comes from STDIN (standard input)
for line in sys.stdin:
# remove leading and trailing whitespace
line = line.strip()
# split the line into words
words = line.split()
# increase counters
for word in words:
charList = list()
... | true |
e91118db94961dbff8c691d2557eb4423f1ef43f | Python | guilhom34/images_recognition | /training_files.py | UTF-8 | 9,097 | 2.609375 | 3 | [] | no_license | import collections
import io
import math
import os
import pathlib
import random
from six.moves import urllib
from IPython.display import clear_output, Image, display, HTML
import tensorflow as tf
import tensorflow_hub as hub
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn.metr... | true |
47815afd7e8f7eac99bc33e5f6efb437b437ec50 | Python | ryubro/Hullpy | /hull.py | UTF-8 | 4,110 | 2.625 | 3 | [] | no_license | import requests
class Hull:
def __init__(self,
platform_id,
org_url,
platform_secret=None,
sentry=None):
self.baseurl = "%s/api/v1" % (org_url,)
self.platform_id = platform_id
self.platform_secret = platform_secret
... | true |
e6695b93aa9e72e9534c7a66d0d6f6aa1f6bf888 | Python | arthur-bryan/shopping-cart | /install.py | UTF-8 | 1,604 | 2.703125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import os
import sys
from time import sleep
import platform
APP_PATH = os.path.join(os.getcwd(), 'app.py')
# ICON_FILE = os.path.join(os.getcwd(), 'imagens/carrinho.png')
# EXECUTABLE_FILE = os.path.join(os.getcwd(), 'compras.sh')
PYTHON_VERSION = float(platform.python_version()[:3])
if PYTH... | true |
7eee2c6939708779f090c91659389b6adb83823b | Python | scipyargentina/sliceplots | /sliceplots/_util.py | UTF-8 | 435 | 3.5 | 4 | [
"BSD-3-Clause"
] | permissive | # -*- coding: utf-8 -*-
"""Utility functions module."""
import numpy as np
def idx_from_val(arr1d, val):
"""Given a 1D array, find index of closest element to given value.
:param arr1d: 1D array of values
:type arr1d: :py:class:`numpy.ndarray`
:param val: element value
:type val: float
:ret... | true |
1c2f27907db7626d48bb596dc79051eb2658fd9b | Python | kaustubhagarwal/Basic-Codes | /Upper and Lower Case.py | UTF-8 | 109 | 4.15625 | 4 | [] | no_license | #To Print strings in upper and lower case
l=input("Enter the string ")
print(l.lower())
print(l.upper()) | true |
fbfc467b05978a9bf2f20c8a9a80bd20982327d3 | Python | chaomenghsuan/leetcode | /1856_MaximumSubarrayMin-Product.py | UTF-8 | 814 | 2.609375 | 3 | [] | no_license | from numpy import cumsum
class Solution:
def maxSumMinProduct(self, nums: List[int]) -> int:
cumm = [0] + list(cumsum(nums))
n = len(nums)
res = 0
l, st = [0], [[nums[0], 0]]
for i in range(1, n):
cur = 0
while st and nums[i] <= st[-1][0]:
... | true |
62995fb78c790c7ff642c758093587d0c23a9816 | Python | ganlanshu/leetcode | /subtree-of-another-tree.py | UTF-8 | 1,813 | 3.71875 | 4 | [] | no_license | #coding=utf-8
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def isSubtree(self, s, t):
"""
判断t是否是s的子树
:type s: TreeNode
:type t: TreeN... | true |
7bc6a1aa6ba183f344fb3eac517c260e8d399f2e | Python | Ravi-Nikam/Machine_learning_programs-or-Algorithems | /Logistic_regression.py | UTF-8 | 3,428 | 3.453125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 17:51:43 2020
@author: Ravi Nikam
"""
# Logistic Regression
# Suv is purchsed or not 0 means not 1 means yes
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data = pd.read_csv('Social_Network_Ads.csv')
data.head()
x=data.iloc[:,[... | true |
b46733b26fe041b6d92d9bc1c43615f05cc861a3 | Python | themagicbean/Machine-Learning-Course-1 | /7 Natural Language Processing/my_natural_language_processing.py | UTF-8 | 2,912 | 3.421875 | 3 | [] | no_license | # Natural Language Processing
# L191
#making model to predict if review positive or negative
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Restaurant_Reviews.tsv', delimiter = '\t', quoting = 3)
# read csv can also read ... | true |
65272fbf46c67f66a469a8ae8c6502737b6fc91a | Python | 19133/rps | /main.py | UTF-8 | 1,913 | 3.609375 | 4 | [] | no_license | import random
# functions go here
def check_rounds():
while True:
response = input ("how many rounds: ")
round_error = "Please type either <enter>" "or an interger that is more than 0\n"
# If infinite mode is not chosen, check response
# is an integer that is more than 0
if response != "":
... | true |
6ada0c03b9697b0e63d6f32c26e235ce9d1991fe | Python | alatiera/Ellinofreneia-crawler | /src/launcher.py | UTF-8 | 1,817 | 2.734375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
import crawler
import renamer
import file_organizer
import argparse
def opts():
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers()
download = subparsers.add_parser('download', help='Downloads the shows',
aliases=['dl', 'cra... | true |
9ce70feae1eec76ec91cb37957e05f4201684e86 | Python | Aasthaengg/IBMdataset | /Python_codes/p03029/s122921010.py | UTF-8 | 55 | 2.9375 | 3 | [] | no_license | a,b= map(int, raw_input().split(' '))
print (3*a + b)/2 | true |
365740495d71b63d5522f0f7895ff981931d6a1e | Python | phodiep/BiomarkerLab_QuantileStatistics | /QuantileApp(v1.4).py | UTF-8 | 14,446 | 2.578125 | 3 | [] | no_license | import time
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats.stats import pearsonr, spearmanr, gmean, ttest_1samp
def clear_terminal():
import os
os.system('cls' if os.name=='nt' else 'clear')
def start_screen():
print '''
===========================================
We... | true |
d867b792d25d99a36150fe48791cc9ebb69d2d4b | Python | Aasthaengg/IBMdataset | /Python_codes/p02852/s908177307.py | UTF-8 | 615 | 2.640625 | 3 | [] | no_license | N,M = map(int,input().split())
S = input()[::-1]
if M >= N:
print(N)
exit()
p = -1
for i in reversed(range(1,M+1)):
if S[i] == "0":
p = i
break
if p == -1:
print(-1)
exit()
ps = [p]
while 1:
tmp = -1
for i in reversed(range(ps[-1]+1,ps[-1]+M+1)):
try:
... | true |
84469a9d92d1baea91affe1249b7fe035daecc3e | Python | metalnick/emu-container-desktop | /emu_container_desktop/emu_container.py | UTF-8 | 4,483 | 2.515625 | 3 | [] | no_license | import configparser as cp
import os
import signal
from socketserver import BaseRequestHandler, TCPServer, ThreadingMixIn
from threading import Thread
import json
import subprocess
import sys
import glob
# TODO: Server should handle requests to start, stop, etc. No need for a "local client". GUI/cmd line will make use ... | true |
d4d81448549f77e337ad3313dbc10078a3cb37c8 | Python | Deeksha-K/dm-assignments | /Assignment 1/DM_ASSN1_20160114_20160809_20160236/apriori.py | UTF-8 | 7,376 | 3.046875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 10 22:58:59 2019
@author: Skanda
"""
import csv
import copy
import itertools
def get_unique_items(data):
"""
This function reads the database and returns the list of unique items
"""
items = {}
for transaction in data:
for item i... | true |
dd04647e1702687da86ba7e0e3c23d80983492a0 | Python | nbiadrytski-zz/python-training | /p_advanced_boiko/oop_demos/decorators/property_via_decorator.py | UTF-8 | 630 | 3.84375 | 4 | [] | no_license | class PropertyViaDecorator:
def __init__(self):
self._x = None
@property
def x(self):
"""I'm the 'x' property"""
print('...getter called...')
return self._x
@x.setter
def x(self, value):
print('...setter called...')
self._x = value
@x.deleter
... | true |
eeb166538e9100fc1bc849334737991f770854a3 | Python | vbaryshev4/faster_python | /homework/2/merger.py | UTF-8 | 652 | 2.671875 | 3 | [] | no_license | from os import listdir
import heapq
from datetime import *
def get_datetime_object(string):
return datetime.strptime(string, '%Y-%m-%d %H:%M')
def key_func(i):
date_time = i.split('\t')[2][:-1]
return get_datetime_object(date_time)
def join_results(lst):
with open('chunks/sort_results.txt', 'a') as f... | true |
1cbc3e635b23c7e1e01ce5d57f85d45437ba5af7 | Python | kmorris0123/reverse_word_order | /reverse_word_order.py | UTF-8 | 569 | 4 | 4 | [] | no_license | import os
def usr_str():
print("Input a string that has multiple words.")
print("Example: My name is Kyle")
return input("--> ")
def reverse_order(usr_str):
usr_str = usr_str.split(" ")
rev = usr_str[::-1]
joined = " ".join(rev)
return joined
def main():
play = True
while play == True:
usr_str_s =... | true |
a8d828d447ad8b929d17b3542f2f59eae783f71f | Python | SakibNoman/Python-Numerical-Analysis | /string.py | UTF-8 | 976 | 4.3125 | 4 | [] | no_license | multilineString = '''Hello, This is Noman Sakib
trying to '''
print(multilineString)
print(multilineString[7])
for x in multilineString:
print(x)
#length of a string
print(len(multilineString))
#Checking a specific word if exist in a string
#in
print("Sakib" in multilineString)
myWord = "Sakib"
if myWord in mu... | true |
1b73fdacfc57a7bc7f2ce0ae4fc602c713d23a27 | Python | 1615961606/-test | /备份/1804爬虫/第二周/第八天/迭代器.py | UTF-8 | 587 | 3.953125 | 4 | [] | no_license | from collections import Iterable
class Booklist(object):
def __init__(self):
self.data = []
self.current = 0
def add_books(self,item):
self.data.append(item)
def __iter__(self):
return self
def __next__(self):
if len(self.data) > self.current:
result ... | true |
616f002eab852e7104cc19e0fc427e2f6bdb4ca3 | Python | bballjo/pythonfun | /commandGenerator.py | UTF-8 | 632 | 3.4375 | 3 | [] | no_license | import commands
import random
import string
def generateCommand():
return random.choice(test.wordsWithSemicolons)
def WriteFile(name):
file = open(name,'w')
file.write(commands.Line('x = ' + str(random.choice([1,2,3,4,5,6,7,8,9]))))
file.write(commands.If('x == ' + str(random.choice([1,2,3,4,5,6,7... | true |
8a44b86aa4a3c767b221054a839fe32b59a222ee | Python | yucheno8/news_python | /LiaoSirWeb/recursive_factorial.py | UTF-8 | 216 | 3.890625 | 4 | [] | no_license | # 利用递归函数计算阶乘
# N! = 1 * 2 * 3 * ... * N
def fact(n):
if n == 1:
return 1
return n * fact(n-1)
print('fact(1) =', fact(1))
print('fact(5) =', fact(5))
print('fact(10) =', fact(10)) | true |
5df4e0217c9cdaf4be35e35dd8c44ec92c1b3bd7 | Python | ashishjsharda/numpyexamples | /argsort.py | UTF-8 | 64 | 2.703125 | 3 | [] | no_license | import numpy as np
a=np.array([5,2,8])
a=np.argsort(a)
print(a)
| true |
66f6869f549434af31b50bcd46096e71338990e7 | Python | JoelBondurant/RandomCodeSamples | /python/bytetool.py | UTF-8 | 1,257 | 3.359375 | 3 | [
"Apache-2.0"
] | permissive | """
Module for byte operations.
"""
import hashlib
import datetime
def sizeof_fmt(num, dec = 3, kibibyte = False):
"""Byte size formatting utility function."""
prefixes = None
factor = None
if kibibyte:
factor = 1024.0
prefix = ['bytes','KiB','MiB','GiB','TiB','PiB','EiB','ZiB','YiB']
else:
factor = 1000.0
... | true |
7017f224e020ac035dfaaa3d8dab635daacf6124 | Python | Bavithakv/PythonLab | /CO1/replaced.py | UTF-8 | 142 | 3.15625 | 3 | [] | no_license | a=input("enter a string")
b=a[0]
s=a[1:len(a)]
for i in range(len(s)):
if s[i]==a[0]:
b=b+"$"
else:
b=b+s[i]
print(b)
| true |
d4b6270429b462f79e25fe0260a0f4711573e5be | Python | HBinhCT/Q-project | /hackerearth/Algorithms/Decode/test.py | UTF-8 | 542 | 2.59375 | 3 | [
"MIT"
] | permissive | import io
import unittest
from contextlib import redirect_stdout
from unittest.mock import patch
class TestQ(unittest.TestCase):
@patch('builtins.input', side_effect=[
'2',
'wrien',
'reen',
])
def test_case_0(self, input_mock=None):
text_trap = io.StringIO()
with re... | true |
fb3c0d8b4296404bba40639192711a50ccee3287 | Python | StephanHeijl/SMH500 | /compare_contribution_lists.py | UTF-8 | 1,099 | 2.546875 | 3 | [] | no_license | import json
import pprint
import pandas
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
with open("volume_contribution.json") as f:
volume_correspondence = json.load(f)
with open("relative_market_caps.json") as f:
relative_market_caps = sorted(json.load(f))
overview = {}
for i, (coin,... | true |
61ae6dbc6166d8fbfcdf146920018e2bb47cc44b | Python | standrewscollege2018/2020-year-11-classwork-EthanAllison | /Movie ticket.py | UTF-8 | 343 | 3.671875 | 4 | [] | no_license | age = int(input("How old are you?\n"))
if age > 13:
student = input("Are you a student? (y/n)\n")
if student == "y":
print("It costs $8")
elif age >= 18:
print("It will cost $12")
else:
print("It will cost $9")
elif age >=5:
print("It will cost $7")
else:
print("It will b... | true |
4d888fb082039bf3648970525e7dc3c592000e8c | Python | lukereding/nsf_awards_analysis | /parse_xml.py | UTF-8 | 2,483 | 2.8125 | 3 | [] | no_license | import os
import bs4
import csv
def e_8(s):
return s.encode('utf-8')
os.chdir('./data')
all_files = [file for file in os.listdir('.') if file.endswith(".xml")]
print("total number of files: {}".format(len(all_files)))
with open('../out.csv', 'w') as csvfile:
writer = csv.writer(csvfile)
writer.writerow... | true |
1f8df0cc10d25c2f27a49385802265d1029d7c8d | Python | Nelson-Gon/urlfix | /urlfix/urlfix.py | UTF-8 | 7,334 | 2.75 | 3 | [
"MIT"
] | permissive | from collections.abc import Sequence
import os
import re
import urllib.request
from urllib.request import Request
import tempfile
from urllib.error import URLError, HTTPError
import logging
log_format = "%(asctime)s %(levelname)s %(message)s"
log_filename = "urlfix_log.log"
log_level = logging.WARNING
logging.basic... | true |
e654d5dc25201845013c994ea9fdda9b650587d9 | Python | sunarditay/tue_robocup | /challenge_eegpsr/test/navigate_in_front_of.py | UTF-8 | 1,922 | 2.609375 | 3 | [] | no_license | #!/usr/bin/env python
import rospy, sys, robot_smach_states, random
if __name__ == "__main__":
rospy.init_node('navigate_in_front_of')
# Create Robot object based on argv[1]
if len(sys.argv) < 2:
print "Usage: ./navigate_in_front_of.py [amigo/sergio] [entityIds]..."
sys.exit()
robot_... | true |
eefc3904060a6ed5358ec5399ee7e8572a8b512e | Python | OtchereDev/yt_omdb_api | /api/models.py | UTF-8 | 945 | 2.625 | 3 | [
"MIT"
] | permissive | from django.db import models
RATINGS=(
('5','5 Star'),
('4', '4 Star'),
('3', '3 Star'),
('2', '2 Star'),
('1', '1 Star'),
)
TYPE=(
('movie','movie'),
('series','series'),
('episode','episode'),
)
class Genre(models.Model):
name=models.CharField(max_length=255)
def __str__(se... | true |
c1f40c62047e0185ecd73181b1aa793983887329 | Python | mikss/pr3 | /test/test_linear.py | UTF-8 | 2,226 | 2.515625 | 3 | [
"MIT"
] | permissive | import numpy as np
import pytest
from sklearn.metrics import r2_score
from pr3.linear import (
LeastAngleRegressionProjection,
LowerUpperRegressionProjection,
ProjectionOptimizerRegistry,
ProjectionSampler,
ProjectionVector,
)
def test_normalize(random_seed, p_dim, q_dim):
np.random.seed(rand... | true |
9677b542de10580a2986dda6ecb588709b030430 | Python | liyi0206/leetcode-python | /87 scramble string.py | UTF-8 | 665 | 3.453125 | 3 | [] | no_license | class Solution(object):
def isScramble(self, s1, s2):
"""
:type s1: str
:type s2: str
:rtype: bool
"""
if s1==s2: return True
if len(s1)!=len(s2) or sorted(s1)!=sorted(s2): return False
if len(s1)==1: return s1==s2
for i in range(1,len(s1)):
... | true |
8b25701a3a88e458c8a9e9f38191f10663b306ab | Python | zhaoqun05/Coding-Interviews | /Python/数组中出现次数超过一半的数字.py | UTF-8 | 789 | 3.546875 | 4 | [] | no_license | '''
数组中有一个数字出现的次数超过数组长度的一半，请找出这个数字。例如输入一个长度为9的数组{1,2,3,2,2,2,5,4,2}。由于数字2在数组中出现了5次，超过数组长度的一半，因此输出2。如果不存在则输出0。
'''
# -*- coding:utf-8 -*-
class Solution:
def MoreThanHalfNum_Solution(self, numbers):
if not numbers: return None
key, num = numbers[0], 1
for i in numbers[1:]:
if ... | true |
e8dbd5ddf8bf4dbbb893e1eb2875efee3c7295ff | Python | qlimaxx/projects-management-api | /manage.py | UTF-8 | 957 | 2.75 | 3 | [] | no_license | import click
from werkzeug.security import generate_password_hash
from app import create_app
from app.enums import Role
from app.models import User, db
app = create_app()
@app.cli.command('create-db')
def create_db():
db.drop_all()
db.create_all()
print('Database is created.')
@app.cli.command('creat... | true |
932af16a0d8c38f4375f5c4b699df1948d8faf1a | Python | Anirban2404/LeetCodePractice | /1135_minimumCost.py | UTF-8 | 1,930 | 3.703125 | 4 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 15 10:40:04 2019
@author: anirban-mac
"""
"""
1135. Connecting Cities With Minimum Cost
There are N cities numbered from 1 to N.
You are given connections, where each connections[i] = [city1, city2, cost]
represents the cost to connect city1 and c... | true |
3de35b9bff11dee3b91dbb36f0672279a7444ade | Python | Jannatul-Ferdousi/PractisePython | /ND2.py | UTF-8 | 563 | 3.203125 | 3 | [] | no_license | # Compute mean and standard deviation: mu, sigma
mu = np.mean(belmont_no_outliers)
sigma = np.std(belmont_no_outliers)
# Sample out of a normal distribution with this mu and sigma: samples
samples = np.random.normal(mu, sigma, size=10000)
# Get the CDF of the samples and of the data
x_theor, y_theor = ecdf(sa... | true |
d15ca6a56956293e69dbfbcb45e69f252163defb | Python | fadeopolis/scripts | /bin/kathex | UTF-8 | 4,332 | 2.578125 | 3 | [] | no_license | #!/usr/bin/python3
##### PARSE OPTIONS ############################################################
import argparse
import glob
import os
import subprocess
DEFAULT_BUILD_COMMAND = 'pdflatex'
RUBBER_COMMAND = 'rubber -q -s --pdf'
PDFLATEX_COMMAND = 'pdflatex'
DEFAULT_PDF_VIEWER = 'evin... | true |
e90969b7f7d9e4198418ffbcc0664074655a16f4 | Python | akdasa/gem | /gem/web/blueprints/session/connections.py | UTF-8 | 3,554 | 2.84375 | 3 | [] | no_license | from collections import namedtuple
from flask_socketio import join_room
from gem.db import users
from gem.event import Event
SessionConnection = namedtuple("SessionConnection", ["user_id", "socket_id", "session_id", "session", "user"])
class Connections:
"""
Handles all the connections to the sessions.
... | true |
91573de6ac79cac1668cf23ae0e01743f2552d9d | Python | LucasGiori/DowloadPdfAutomaticoSpringLink | /scraping_spring_link.py | UTF-8 | 1,799 | 3.3125 | 3 | [] | no_license | import requests,sys,os
from bs4 import BeautifulSoup
from urls import getUrl
#Pasta onde irá salvar o arquivo, pega a pasta raiz do Script Python,em seguida defino em qual pasta será
downloadPath = str(sys.path[0])+'/arquivos/'
urls=getUrl() #Função que faz as leituras dos link no arquivo de texto e retorna uma list... | true |
a744960cfa0166bf507a81dd90a70700e7f22e45 | Python | furas/python-examples | /tkinter/validate/main.py | UTF-8 | 1,145 | 3.109375 | 3 | [
"MIT"
] | permissive |
#
# https://stackoverflow.com/a/47990190/1832058
#
import tkinter as tk
'''
It lets you input only numbers 8.2 digits.
'''
def check(d, i, P, s, S, v, V, W):
print("d='%s'" % d)
print("i='%s'" % i)
print("P='%s'" % P)
print("s='%s'" % s)
print("S='%s'" % S)
print("v='%s'" % v)
print("V='... | true |
bb4b34ef70039150e6ed96a11994a4fe51a8c268 | Python | magisterka-ppp/ppp2d | /player.py | UTF-8 | 3,653 | 2.859375 | 3 | [] | no_license | import pygame
from pygame.math import Vector2
from pygame.rect import Rect
class Player(object):
def __init__(self):
self.grounded = False
self.max_y_vel = 20
self.drag = 0.8
self.gravity = 6
self.bounds = Rect(20, 0, 80, 120)
self.color = (155, 155, 0)
self... | true |
74c18fd7c38197a05c598231d1abe1494745ef7e | Python | google/gfw-deployments | /apps/python/groups/find_groups_where_user_is_owner.py | UTF-8 | 4,482 | 2.78125 | 3 | [] | no_license | #!/usr/bin/python
#
# Copyright 2011 Google Inc. All Rights Reserved.
"""For a specific user, prints groups for which they are owner.
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.apa... | true |
fa34c7188c7008af305831dbda443a4f41a38dc3 | Python | brucesw/skills_progressions | /skills_progression.py | UTF-8 | 1,380 | 2.875 | 3 | [] | no_license | from dictionaries import *
from helpers import *
# this does main portion of the work
# just a modified search algorithm
def expand_prerequisites(skill, prereq_list, depth, ret, abbreviations):
if skill not in prereq_list:
return
for s in prereq_list[skill]:
#print s, depth
if depth not in ret:
ret[depth] =... | true |
949f10a2e6dfff24b211e2252d3369ae07438d42 | Python | salkhan23/contour_integration | /learned_lateral_weights.py | UTF-8 | 7,801 | 2.6875 | 3 | [] | no_license | # ------------------------------------------------------------------------------------------------
# Contour integration layer in an MNIST classifier
#
# In this version of contour integration, a learnable weight matrix is cast on top each pixel in
# the input volume. The weight matrix is shared across a feature map bu... | true |
550efc320225967509e49b681ab9b511ba1314bf | Python | frankieeder/fantasy_movie_league | /week_2018__12_14__12_16.py | UTF-8 | 2,250 | 2.640625 | 3 | [] | no_license | import fml
# 12/14/2018 - 12/16/2018 #
PRICES_RAW = """SPIDER-MAN: INTO THE SPIDER-VERSE
+$571
UNAVAILABLE
SCREENS LOCKED
THE MULE
+$235
UNAVAILABLE
SCREENS LOCKED
MORTAL ENGINES
+$171
UNAVAILABLE
SCREENS LOCKED
THE GRINCH
+$155
UNAVAILABLE
SCREENS LOCKED
RALPH BREAKS THE INTERNET
+$127
UNAVAILABLE
SCREENS L... | true |
79d6bb919f4b2f8b691e7d575309eca55a1a50ad | Python | infinitEnigma/github-upload | /PyTorch/torch_nn/torch_nn-walkthrough.py | UTF-8 | 14,990 | 3.078125 | 3 | [] | no_license | from pathlib import Path
import requests
DATA_PATH = Path("data")
PATH = DATA_PATH / "mnist"
PATH.mkdir(parents=True, exist_ok=True)
URL = "http://deeplearning.net/data/mnist/"
FILENAME = "mnist.pkl.gz"
if not (PATH / FILENAME).exists():
content = requests.get(URL + FILENAME).content
(PATH / FILENAM... | true |
38247e491e5d958d0cc0fd894b6de7af5619770f | Python | Kieran-Williams/Password_manager | /env/Database/create_db.py | UTF-8 | 579 | 2.53125 | 3 | [
"MIT"
] | permissive | import sqlite3
from sqlite3 import Error
from pathlib import Path
from Database import create_tables
def create_connection(db_file):
conn = None
try:
conn = sqlite3.connect(db_file)
print(sqlite3.version)
except Error as e:
print('DB Version' + e)
finally:
if conn:
... | true |
ef3dd7b85fc326223f4c3cb2ade8c980f3048d40 | Python | apalpant/ProjetFilRouge | /python/shared/admin/services/gitService copy.py | UTF-8 | 334 | 2.53125 | 3 | [] | no_license | import subprocess
# The service for git operations
class GitService():
# Constructor
def __init__(self):
print('init GitService')
# Clone repository from a given adress
def clone(self, adresse):
subprocess.Popen(['git', 'clone', str(adresse), '/home/vagrant/tmp/clone'])
return... | true |
bf8835766ab20429d4b4bfa1da420c157a95010a | Python | gluemoment/Exercises | /basic_projects/ZodiacSignApp/zodiacApp.py | UTF-8 | 1,777 | 3.609375 | 4 | [] | no_license | zodiac_signs_assignment = {
0:'Monkey',
1:'Rooster',
2:'Dog',
3:'Pig',
4:'Rat',
5:'Ox',
6:'Tiger',
7:'Rabbit',
8:... | true |
9763ba173e546b3e6905e88558056b87c0fe220a | Python | dbms-class/csc-2020-control-3.1 | /model.py | UTF-8 | 1,956 | 2.578125 | 3 | [] | no_license | # encoding: UTF-8
# В этом файле реализованы Data Access Objects в виде классов Peewee ORM
from peewee import *
from connect import getconn
from connect import LoggingDatabase
from args import *
db = PostgresqlDatabase(args().pg_database, user=args().pg_user, host=args().pg_host, password=args().pg_password)
#db = Lo... | true |
c8a71707d4e9b6792c55f5dfa3a8cdcdefc1cbb4 | Python | afunsten/oil | /opy/_regtest/src/osh/arith_parse.py | UTF-8 | 5,476 | 3.078125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
"""
arith_parse.py - Parse shell arithmetic, which is based on C.
"""
from core import tdop
from core import util
from osh.meta import Id
from core import word
from osh.meta import ast
p_die = util.p_die
def NullIncDec(p, w, bp):
""" ++x or ++x[1] """
right = p.ParseUntil(bp)
child = tdo... | true |
626f6cabfe3c5a095d91f7be4425c0ec910115f7 | Python | kou1127h/atcoder | /ABC/ver3/188/B.py | UTF-8 | 179 | 3.078125 | 3 | [] | no_license | N = int(input())
a = list(map(int, input().split()))
b = list(map(int, input().split()))
ans = 0
for i in range(N):
ans += (a[i] * b[i])
print("Yes" if ans == 0 else "No")
| true |
7d211b2fffb7a2ed5a76ed4d197a6c6732ff3c59 | Python | zannn3/LeetCode-Solutions-Python | /0306. Additive Number.py | UTF-8 | 882 | 3.375 | 3 | [] | no_license | class Solution(object):
def isAdditiveNumber(self, num):
"""
:type num: str
:rtype: bool
"""
n = len(num)
if n < 3:
return False
for i in range(n-2):
for j in range(i+1, n-1):
if self.checkNum(num, i, j):
... | true |
12a88e232676dcc6650d8e8ef0e41461b7b23b6d | Python | alex35469/Flow-Scheduling-for-video-Streaming | /simulator/utils.py | UTF-8 | 989 | 2.8125 | 3 | [] | no_license | import io
import sys
import os
from time import time
PATH = os.path.dirname(os.path.abspath(__file__))
def get_scaled_time(scale):
"Get a scalable time"
def get_time():
return scale * time()
return get_time
def read_network_trace(path):
"Return a generator that outputs the trace"
full_p... | true |
177687297f8e4199eca539d03409ea93b2940d33 | Python | Neniao/fmt-back | /hubspotconnect.py | UTF-8 | 1,045 | 2.75 | 3 | [] | no_license | import requests
import json
import urllib
max_results = 500
hapikey = "2b0cbf32-bc72-40b6-8953-c40aeebeec07"
count = 20
contact_list = []
property_list = []
get_all_contacts_url = "https://api.hubapi.com/contacts/v1/lists/all/contacts/all?"
parameter_dict = {'hapikey': hapikey, 'count': count}
headers = ... | true |
e94fbca7230071051fd52095af6c5cd6233e505b | Python | helios2k6/python3_interview_questions | /stronglyConnectedComponents.py | UTF-8 | 1,857 | 3.625 | 4 | [] | no_license | def visit(adjList, visitedNodes, l, node):
if node in visitedNodes:
return
visitedNodes[node] = True
for neighbor in adjList[node]:
visit(adjList, visitedNodes, l, neighbor)
l.append(node)
def transposeAdjList(adjList):
transposedAdjList = {}
for node, neighbors in adjList.items... | true |
73cbeb02678baf50a5b13b5a10091f289bd70798 | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_75/51.py | UTF-8 | 1,481 | 2.828125 | 3 | [] | no_license | import sys
outf = []
def pout(text):
outf.append("Case #" + str(pout.case) + ": " + text + "\n")
pout.case += 1
pout.case = 1
def get_input(infname):
with open(infname, "r") as f:
return map(lambda a: a.strip(), f.readlines())
def write_output(outfname):
with open(outfname, "w") ... | true |
5c283929af4c908985960fe46c3faf94a7589699 | Python | Abe27342/project-euler | /src/104.py | UTF-8 | 1,144 | 3.515625 | 4 | [] | no_license | from decimal import Decimal
import math
phi = (Decimal(5).sqrt() + Decimal(1))/Decimal(2)
def frac(x):
return(x-math.floor(x))
def is_pandigital(x):
return({i for i in str(x)} == {'1','2','3','4','5','6','7','8','9'} and len(str(x)) == 9)
fl = [0,1,1,2,3,5]
def fibs(n):
while n > len(fl):
fl.app... | true |
f23ceea33b3b36f3b784cf1a5fd4ca84658d2b1d | Python | jamtot/PyProjectEuler | /45 - Triangular, pentagonal, and hexagonal/tph.py | UTF-8 | 1,482 | 4.1875 | 4 | [
"MIT"
] | permissive | # -*- coding: utf8 -*-
#Triangle Tn=n(n+1)/2 1, 3, 6, 10, 15, ...
#Pentagonal Pn=n(3n−1)/2 1, 5, 12, 22, 35, ...
#Hexagonal Hn=n(2n−1) 1, 6, 15, 28, 45, ...
def triangulate(n):
return (n*(n+1))/2
def pentagulate(n):
return (n*((3*n)-1))/2
def hexagulate(n):
return n*((2*n)-1)
def trigen(n=1)... | true |
d53f1d9ed62cc5455aa7e2cb7a24894f591ffa83 | Python | daniel-reich/ubiquitous-fiesta | /kKFuf9hfo2qnu7pBe_22.py | UTF-8 | 355 | 2.515625 | 3 | [] | no_license |
def is_prime(primes, num, left=0, right=None):
mid = primes[int(len(primes)/2)]
if mid == num:
return "yes"
if (len(primes) == 1):
return "no"
if mid < num:
return is_prime(primes[int(len(primes)/2): len(primes)], num, 0, None )
if mid > num:
return is_prime(primes[0:int(... | true |
9003070a9074c8327a860e21d266eee3894d698b | Python | lihao6666/graduation | /parser/爬虫/parse/build/lib/parse/spiders/hot.py | UTF-8 | 2,586 | 2.578125 | 3 | [] | no_license | import scrapy
from parse.items import WeiboTopItem,ZhiHuTopItem,WeiboHots,ZhihuHots
class HotSpider(scrapy.Spider):
name = 'hot'
# allowed_domains = ['https://s.weibo.com/top/summary/']
start_url = 'https://s.weibo.com/top/summary/'
next_url = 'https://www.zhihu.com/hot'
def cookies_dict(self,coo... | true |
b84a916974907120b37b03d4424a94d12ad5a08e | Python | novayo/LeetCode | /For Irene/BFS/0733_Flood_Fill.py | UTF-8 | 926 | 3.1875 | 3 | [] | no_license | class Solution:
def floodFill(self, image: List[List[int]], sr: int, sc: int, newColor: int) -> List[List[int]]:
old_color = image[sr][sc]
if old_color == newColor:
return image
width = len(image[0])
height = len(image)
... | true |
fe719dad32d27bb81dc66228d711c463b0770d52 | Python | Tusharshah2006/feature_selection_project | /q05_forward_selected/build.py | UTF-8 | 1,315 | 2.921875 | 3 | [] | no_license | # %load q05_forward_selected/build.py
# Default imports
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split as tts
from sklearn.metrics import mean_squared_error, r2_score
data = pd.read_csv('data/house_prices_multivariate.csv')
... | true |
70b6529c1901fbddf62d11a618d412422f4a9041 | Python | cwlseu/Algorithm | /cpp/jianzhioffer/power.py | UTF-8 | 505 | 3.875 | 4 | [] | no_license | # -*- coding:utf-8 -*-
class Solution:
def Power(self, base, exponent):
# write code here
if exponent < 0:
return 1.0/(float)(self.Power(base, -exponent))
elif exponent == 0:
return 1
elif exponent % 2 == 0:
return self.Power(base, exponent/2)**2
el... | true |
d1da752545cdc0f2a96af048ee835c000eddcaf2 | Python | stacykutyepov/python-cp-cheatsheet | /leet/strings/wordBreak.py | UTF-8 | 1,004 | 3.46875 | 3 | [
"Apache-2.0"
] | permissive | """
time: n^2
space: n
"""
class Solution:
# go through word and check if slice matches subword, go until the end
def wordBreak(self, s: str, wordDict: List[str]) -> bool:
stk = [0]
visited = set()
while stk:
i = stk.pop()
visited.add(i)
# che... | true |
4a15f3f6d05637fab3b291bbca83696d19d9e102 | Python | Shumpei-Kikuta/ants_book | /python/beginner/src/meiro.py | UTF-8 | 1,215 | 2.78125 | 3 | [] | no_license | import sys
sys.setrecursionlimit(10000000)
from collections import deque
import numpy as np
INF = 10 ** 10
def main():
N, M = map(int, input().split())
meiros = np.ones((N + 2, M + 2)) * (-1)
d = np.ones((N + 2, M + 2)) * INF
for i in range(N):
input_ = input()
for j, v in enumerate(... | true |
a35d1af9de65789a06984d400e1b0bac3200eb00 | Python | Hashfyre/7dom | /prototypes/entity/alt_main.py | UTF-8 | 4,207 | 3.140625 | 3 | [] | no_license | from pandac.PandaModules import *
import direct.directbase.DirectStart
from direct.showbase.DirectObject import DirectObject
from panda3d.bullet import *
class Entity(DirectObject):
def __init__(self, world, parent, taskMgr=None, shape=BulletCapsuleShape(0.5, 1), pos=(0, 0, 2)):
"""Creates a generic Entit... | true |
0a0a4d1940bde46b24604fef43d53d9c140a86a7 | Python | RubenBasentsyan/DataScrapingAUA | /Homework 2/MovieScraping.py | UTF-8 | 2,040 | 3.703125 | 4 | [] | no_license | import requests;
import pandas as pd
import time;
from scrapy.http import TextResponse;
URL = "https://www.imdb.com/chart/moviemeter/"
base_url = "https://www.imdb.com"
#td.titleColumn a - Movie titles
#.secondaryInfo:nth-child(2) - Movie Year
#.velocity - Rank -> doesn't return proper rankings therefore I will use a... | true |
ddaee3330d16afc99d1b2cf00c652728d313661d | Python | IanRivas/python-ejercicios | /tp5-Excepciones/7.py | UTF-8 | 1,103 | 4.65625 | 5 | [] | no_license | '''
7. Escribir un programa que juegue con el usuario a adivinar un número. El programa debe generar un número al azar entre 1 y 500 y el usuario debe adivinarlo.
Para eso, cada vez que se introduce un valor se muestra un mensaje indicando si el nú-mero que tiene que adivinar es mayor o menor que el ingresado.
Cuando c... | true |
4e806189c021916e64a4ae331d80369db0dccd11 | Python | mourkeita/scripts | /urllib_to_server.py | UTF-8 | 197 | 2.515625 | 3 | [
"MIT"
] | permissive | #! /usr/bin/python
# coding: utf8
import httplib2
import urllib
print "Try to connect to site ..."
h = httplib2.Http()
headers, content = h.request("https://www.google.fr", "GET")
print content | true |
a76bc3c3632e0d2c06ec107e325e21fd3029300e | Python | borislavstoychev/Soft_Uni | /soft_uni_fundamentals/Basic Syntax, Conditional Statements and Loops/More Exercises/04_Sum_Of_A_Beach.py | UTF-8 | 192 | 3.34375 | 3 | [] | no_license | word_snake = input()
word_matches = ["water", "sand", "sun", "fish"]
match = 0
for i in range(len(word_matches)):
match += word_snake.lower().count(word_matches[i])
print(match) | true |
a07108132bca4f86ef08d9c08e5bc1940c5fe5f7 | Python | simonchapman1986/ripe | /src/apps/api/helpers/response.py | UTF-8 | 2,346 | 2.5625 | 3 | [] | no_license | import json
import logging
trace = logging.getLogger('trace')
class ResponseGenerator():
def __init__(self, api_name, path, attribute_keys, sub_struct=None, struct_count=0):
self.resp = dict()
self.struct = dict()
self.struct[api_name] = {}
self.struct[api_name]['current_report'] ... | true |
cf3e375792f4df68bc7481a350f008c8f244eebc | Python | NAMHYEONJI/PPS | /NamHyeonJi_20210710/3-4_NamHyeonJi.py | UTF-8 | 291 | 3.625 | 4 | [] | no_license | #이렇게 풀어도 되는 것인가...
n = int(input())
first = int(input())
if first == 0:
second = 1
else:
second = 0
if n > 5:
print("Love is open door")
else:
for i in range(n-1):
if i % 2 == 0:
print(second)
else:
print(first) | true |
234d8b06ebab3bfb3357bf011e6182b0ded53b85 | Python | Nu-Pan/konoumasuki | /parameter_solver/.ipynb_checkpoints/parameter_solver-checkpoint.py | UTF-8 | 6,468 | 3.03125 | 3 | [] | no_license |
from sympy import *
from typing import Dict, List, Any
from sympy.plotting import plot
'''
# sympy ヘルパ
'''
def makesym() -> Symbol:
'''
シンボルを生成する。
シンボル名は後で更新するので適当でいい。
'''
return Symbol('undef')
def Lerp( min_value: Symbol, max_value: Symbol, ratio: Symbol ) -> Symbol:
'''
区間 [min_value,... | true |
6d425069335954ffedb365eb159e0b804331b766 | Python | sjzyjc/leetcode | /200/200-BFS.py | UTF-8 | 1,096 | 3.484375 | 3 | [] | no_license | from collections import deque
class Solution:
"""
@param grid: a boolean 2D matrix
@return: an integer
"""
def numIslands(self, grid):
if not grid or not grid[0]:
return 0
counter = 0
for i in range(len(grid)):
for j in range(len(grid[i]))... | true |
62dee71f74e7210daddaf06a4db7f690944c569c | Python | marcioinfo/reviews | /src/project/middlewares.py | UTF-8 | 566 | 2.625 | 3 | [] | no_license | import json
# DJANGO LIBRARY IMPORT
from django.http import HttpResponse
class ExceptionsMiddleware(object):
""" A middleware for handling exceptions """
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
return self.get_response(request)
... | true |
202a51aeca3c36532ad1309e45ca6b72c692076f | Python | Speclized/cdn | /prj/paper/paperJiangchong.py | UTF-8 | 642 | 2.96875 | 3 | [] | no_license | import pandas as pd
import jieba
import synonyms
# 更改比例 小 中 大 s m l
# 更改程度 小 中 大 s m l
def change(text, rate=1, level=2):
i = 0
while(i < level):
i += 1
seg_list = list(jieba.cut(text, cut_all=False))
for i in range(len(seg_list)):
s = seg_list[i]
try:
... | true |
94c66a8d94da5590c0b797c698ebe0f4364b3c66 | Python | RAVURISREESAIHARIKRISHNA/Python-2.7.12-3.5.2- | /Tempp.py | UTF-8 | 309 | 3.4375 | 3 | [
"MIT"
] | permissive | def replicate(times, data):
value = []
if type(times) is str or data is " ":
raise ValueError ("Invalid Input")
elif times > 0 and data is not " ":
for x in range(times):
value.append(data)
return value
elif times <= 0:
return value
H = replicate(5,"x")
print(str(H))
| true |
d90be73f0ff56e596b7abe33ac40f5f9269c8829 | Python | cale-i/atcoder | /yukicoder/No.236 鴛鴦茶.py | UTF-8 | 168 | 3.21875 | 3 | [] | no_license | # yukicoder No.236 鴛鴦茶 2020/02/03
a,b,x,y=map(int,input().split())
xa=x/a
yb=y/b
if a==b:
ans=2*min(x,y)
else:
ans=(a+b)*min(xa,yb)
print(ans) | true |
7bf907a25f16a8a4e6e7a62a31bd7ce4a42a09b6 | Python | magiccjae/robust_tracking | /src/quaternion_to_euler.py | UTF-8 | 748 | 2.609375 | 3 | [] | no_license | #!/usr/bin/env python
import rospy, tf
from sensor_msgs.msg import Imu
import numpy as np
def quaternion_callback(msg):
quaternion = (
msg.orientation.x,
msg.orientation.y,
msg.orientation.z,
msg.orientation.w)
# Use ROS tf to convert to Euler angles from quaternion
euler ... | true |
24377f76cc0a62ea2e71873e0e27aef36c4048e2 | Python | MendelBak/cdPython | /python_fundamentals_cd/names.py | UTF-8 | 338 | 3.140625 | 3 | [] | no_license | students = [
{'first_name': 'Michael', 'last_name' : 'Jordan'},
{'first_name' : 'John', 'last_name' : 'Rosales'},
{'first_name' : 'Mark', 'last_name' : 'Guillen'},
{'first_name' : 'KB', 'last_name' : 'Tonel'}
]
def names(list):
for obj in list:
print obj["first_name"], obj["last_name"]... | true |
e60a748dab0279bfcec845278e241166afc0d3d5 | Python | Yuhjiang/LeetCode_Jyh | /problems/midium/13_roman_to_integer.py | UTF-8 | 642 | 3.65625 | 4 | [] | no_license | class Solution:
def romanToInt(self, s: str) -> int:
digit = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
ans = 0
length = len(s)
for i in range(length-1, -1, -1):
if i < length-1 and digit[s[i]] < digit[s[i+1]]:
sign = -1
... | true |
233ef342cb61845f6eb5134ee7db22489e66a3fa | Python | bmviniciuss/ufpb-so | /project1/main.py | UTF-8 | 1,101 | 2.78125 | 3 | [] | no_license | import sys
import copy
from Parser import Parser
from FCFS import FCFS
from SJF import SJF
from RR import RR
from OutputHandler import OutputHandler
from Utils import get_stats_str, verbose_mode
def main():
verbose = verbose_mode(sys.argv)
parser = Parser()
output = OutputHandler("results.txt")
proce... | true |
06bac0360a193fa558d07216ddc4744b65653f7b | Python | antonsold/mapreduce | /reducer.py | UTF-8 | 653 | 2.734375 | 3 | [] | no_license | import sys
def print_row(word, files_set):
if word:
print(word + '\t' + str(sum(files_set.values())))
current_word = None
files = dict()
files_banned = set()
for line in sys.stdin:
word, text_id, flag = line.strip().split('\t', 1)
if current_word != word:
print_row(current_word, files)
... | true |
5b5340e8731544da3fbf5a4018883810383470f8 | Python | swethakandakatla/python-project | /listcomprahensioncheck.py | UTF-8 | 77 | 3.140625 | 3 | [] | no_license | n=100
num_list=[i for i in range(0,n) if(i%2==0 and i%5==0)]
print(num_list) | true |
33cbd164a435e9a4545c87bc7709057d5b847aa1 | Python | konriz/KoNotek | /modules/morse/generator.py | UTF-8 | 1,829 | 3.078125 | 3 | [] | no_license | import numpy as np
import struct
class Signal:
def __init__(self, type, length):
self.type = type
self.length = length
SIGNAL_RULES = {
".": Signal(type='signal', length=1),
"-": Signal(type='signal', length=3),
"/": Signal(type='pause', length=2),
"*": Signal(type='pause', leng... | true |
b0fba72b9a49e3ffd119b853e1dbf15cb9349dfc | Python | michaelgbw/leetcode_python | /14.最长公共前缀.py | UTF-8 | 1,543 | 3.484375 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=14 lang=python3
#
# [14] 最长公共前缀
#
# https://leetcode-cn.com/problems/longest-common-prefix/description/
#
# algorithms
# Easy (36.59%)
# Likes: 921
# Dislikes: 0
# Total Accepted: 211.5K
# Total Submissions: 577.2K
# Testcase Example: '["flower","flow","flight"]'
#
# 编写一个函数来查找字符串数组中的最长... | true |
ae6dfe64f882c2aad7482b6f25bff5b66aa8bd5b | Python | childsm/Python-Projects | /helloWorld/scr/mainapp/profiles/models.py | UTF-8 | 839 | 2.625 | 3 | [] | no_license | from django.db import models
# Create your models here.
PREFIX_OPTION = (
('Mr','Mr'),
('Mrs', 'Mrs'),
('Ms', 'Ms'),
)
class Profiles(models.Model):
Prefix = models.CharField(max_length=60, default="", choices=PREFIX_OPTION)
First_Name = models.CharField(max_length=30, default="", blank=False, n... | true |
474a19ef045298b5de26751dd460777bcafaa80f | Python | zuzux3/Projekt-NP | /codes/main.py | UTF-8 | 386 | 3.671875 | 4 | [] | no_license | from Expo_Euler import Euler_Exp
from Impo_Euler import Euler_Imp
from trapez import trapez
string = "Podaj wybor operacji: "
string1 = "1 - Jawny Euler, 2 - Niejawny Euler, 3 - Metoda Trapezowa"
print(string)
print(string1)
w = input()
if w == '1':
Euler_Exp()
elif w == '2':
Euler_Imp()
elif w == '3':
tr... | true |
41c51d1e477b1920837e1ea17f0267553eee3070 | Python | pendragonxi/tec4tensorflow | /Test2.py | UTF-8 | 1,231 | 3.46875 | 3 | [] | no_license | #-*-coding:UTF-8-*-
import numpy as np
import matplotlib.pyplot as plt
# x = np.linspace(0, 10, 1000)
# y = np.sin(x)
# plt.figure(figsize=(8,4))
# plt.plot(x,y,label="$sin(x)$",color="red",linewidth=2)
# plt.xlabel("Time(s)")
# plt.ylabel("Volt")
# plt.title("PyPlot First Example")
# plt.ylim(-1.2,1.2)
# plt.show()
#... | true |
54b0d95955d5164262faa27974f04ccbe081a074 | Python | alintudose/football_match | /football_match.py | UTF-8 | 2,163 | 3.421875 | 3 | [] | no_license | '''
Se va simula un meci de fotbal intre doua echipe.
Vom defini un teren de fotbal, o minge si pozitia mingii pe terenul de fotbal.
Simularea meciului va consta in definirea numerelor de suturi si contabilizarea tuturor golurilor, outurilor si
cornerelor.
La marcarea golurilor mingea va reveni in centrul terenulu... | true |