blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 2 333 | src_encoding stringclasses 30
values | length_bytes int64 18 5.47M | score float64 2.52 5.81 | int_score int64 3 5 | detected_licenses listlengths 0 67 | license_type stringclasses 2
values | text stringlengths 12 5.47M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
e6122138c275a7ca084bb1ca0a6f3523a11a7775 | Python | SimonFans/LeetCode | /Design/L716_Max_Stack.py | UTF-8 | 2,019 | 4.3125 | 4 | [] | no_license | Design a max stack that supports push, pop, top, peekMax and popMax.
push(x) -- Push element x onto stack.
pop() -- Remove the element on top of the stack and return it.
top() -- Get the element on the top.
peekMax() -- Retrieve the maximum element in the stack.
popMax() -- Retrieve the maximum element in the stack, a... | true |
65519638472d945e59ebac62d7b48613add96684 | Python | rettenls/ServerlessAggregation | /Generator/.~c9_invoke_HQovSy.py | UTF-8 | 6,527 | 2.703125 | 3 | [] | no_license | # General Imports
import random
import json
import hashlib
import time
import collections
import uuid
import sys
from pprint import pprint
# Multithreading
import logging
import threading
# AWS Imports
import boto3
# Project Imports
sys.path.append("../Common")
from functions import *
from constants import *
# Rand... | true |
fa0d3e13e2afcbefd0906b59cb2a407ef7e53dbf | Python | Birathan/tableBuilder | /listHelper.py | UTF-8 | 837 | 4.6875 | 5 | [] | no_license | def list_to_str(lis):
'''(list of str) -> str
This function returns the string representation of the list, with elements
of list seperated by ','.
>>> list_to_str(['a', 'b', 'c'])
'a, b, c'
>>> list_to_str([' a', 'b ', ' c '])
' a, b , c '
'''
text = ''
for element... | true |
0c0fc170a788fead63ea462920587d794656168a | Python | rchicoli/ispycode-python | /Operating-System-Modules/OS-Module/Get-File-Stat.py | UTF-8 | 407 | 2.625 | 3 | [] | no_license |
import stat
import time
import os
f = "example.py"
st = os.stat(f)
mode, ino, dev, nlink, uid, gid, size, atime, mtime, ctime = st
print("size: %s bytes" % size)
print("owner: %s %s" % (uid,gid) )
print("created: %s" % time.ctime(ctime))
print("last accessed: %s" % time.ctime(atime))
print("last modified: %s" % time... | true |
225a2126114d8ee5c936c8541c3e75a71917402f | Python | afcarl/python-tutorial-1 | /week6/week6-hw-recursive.py | UTF-8 | 221 | 3.484375 | 3 | [] | no_license | def printAll(depth, l):
if depth == 0:
print(' '.join(l))
return
printAll(depth - 1, [] + l)
printAll(depth - 1, [str(depth)] + l)
while 1:
printAll(int(input('How many number? ')), [])
| true |
b9845297700fef069fde6c364f256f91ca4e2311 | Python | rrampage/udacity-code | /cs387/Problem Set 3/5.py | UTF-8 | 5,274 | 3.640625 | 4 | [] | no_license | # cs387 ; Problem Set 3 ; 5
# HW3-5 Version 1
# For this assignment you will be given all of the public information
# of a Diffie-Hellman key exchange plus the number of multiplications
# necessary to calculate (g**b)**a mod p, given g**b where `a` is
# Alice's private key and `b` is Bob's private key
#
# With this i... | true |
7337aaaeb23281d7365154b6592f348c8ac4820b | Python | Lehcs-py/guppe | /Seção_05/Exercício_13.py | UTF-8 | 782 | 4.625 | 5 | [] | no_license | print("""
13. Faça um algoritmo que calcule A média ponderada das notas de 3 provas. A primeira e A segunda têm peso 1 e A terceira tem peso 2. Ao final,
mostrar A média do aluno e indicar se o aluno foi aprovado ou reprovado. A nota para aprovação deve ser igual ou superior A 60 pontos.
""")
print('Intervalo: 0 ... | true |
0a3e8310764a4a302735ebed8af1368ae21253ba | Python | IamUttamKumarRoy/python-start | /python_if_else.py | UTF-8 | 303 | 3.828125 | 4 | [
"Apache-2.0"
] | permissive | amount=int(input("Enter amount: "))
if amount<1000:
discount=amount*0.05
print ("Discount",discount)
elif amount<5000:
discount=amount*0.10
print ("Discount",discount)
else:
discount=amount*0.15
print ("Discount",discount)
print ("Net payable:",amount-discount) | true |
2ac93d40bd2db8f41fb5d920911543c7d37f154c | Python | Mithrilwoodrat/coffesploit | /src/coffesploit/core/helpmanager.py | UTF-8 | 1,109 | 2.875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
class HelpManager(object):
"""class to print help informations help users use coffesploit"""
def __init__(self):
self.help_list = {"show": self.help_show,
"use": self.help_use,
"target": self.help_set_tartget
}
def... | true |
7386438517633f0c8183f8d8648f2e769dfa86e1 | Python | patback66/COEN169 | /projects/project2/recs.py | UTF-8 | 34,745 | 2.8125 | 3 | [] | no_license | #!/usr/bin python
"""
@author Matthew Koken <mkoken@scu.edu>
@file recs.py
This file takes tab delimited txt files for users and their movie ratings.
Based on the users and ratings, recommendations are given.
"""
#pin 3224592822747566
import csv
import math
import sys as Sys
import time
import numpy
# ... | true |
11a47b5b4216a1f3222ce34c077fb91874bdfc1c | Python | kliner/funCode | /algs-py/TwoArraySumAboveQuery.py | UTF-8 | 811 | 3.5625 | 4 | [
"MIT"
] | permissive | # two sorted array, from each choose one num, calc total count which sum >= query
# [3,5,6], [4,9], 9
# return 2
def solve(arr1, arr2, q):
l1, l2 = len(arr1), len(arr2)
i, j = 0, l2
ans = 0
while i < l1 and j > 0:
print i, j
if arr1[i] + arr2[j-1] >= q:
j-=1
else:
... | true |
cd018201800cf336a04575d502de54ee05164db6 | Python | josh-howes/tidymongo | /tidymongo/tools.py | UTF-8 | 3,014 | 2.78125 | 3 | [] | no_license | import pandas as pd
from collections import defaultdict
from copy import deepcopy
class TidyResult(object):
def __init__(self, observational_unit):
self.observational_unit = observational_unit
self.collection_id = '{}_id'.format(self.observational_unit)
self.ref_tables_ = defaultdict(list... | true |
e0cefa79b312d62f73ce5e4e8a6719decabe2c31 | Python | peterhinch/micropython-async | /v2/nec_ir/art.py | UTF-8 | 1,319 | 2.65625 | 3 | [
"MIT"
] | permissive | # art.py Test program for IR remote control decoder aremote.py
# Supports Pyboard and ESP8266
# Author: Peter Hinch
# Copyright Peter Hinch 2017 Released under the MIT license
# Run this to characterise a remote.
from sys import platform
import uasyncio as asyncio
ESP32 = platform == 'esp32' or platform == 'esp32_Lo... | true |
9d67eca4141f72ec5aa2b855a61b7e41c86481bc | Python | Hynus/Python | /AmzOnPageAna/amzpageana.py | UTF-8 | 13,518 | 2.53125 | 3 | [] | no_license | # coding:utf-8
import urllib
import urllib2
import Image
import cStringIO
import os
from pyquery import PyQuery as pq
# 指定并爬取特定页面——————————————————————————————————————————————————————
def get_the_url_page(pdt_asin, filename):
url = "https://www.amazon.com/dp/" + pdt_asin
user_agent = 'Mozilla/4.0 (compatible; ... | true |
16aa58b665e30d66d0ba518f2fc1d0315a78d0b6 | Python | AK-1121/code_extraction | /python/python_24731.py | UTF-8 | 134 | 2.953125 | 3 | [] | no_license | # Numpy array, insert alternate rows of zeros
a=np.zeros((982,5))
b=np.random.randint(0,100,(491,5)) # your 491 row matrix
a[::2] = b
| true |
7609930727c471d1c060fb19b0d73072ef5f4882 | Python | saurabhgangurde/EE677_VLSI_CAD | /Ramanpreet/path_finder.py | UTF-8 | 1,399 | 3 | 3 | [] | no_license | from pyeda.inter import*
#from RothAlgebra import RothVariable
#Or(Xor(And(Not(Or(Or(And(a, b), c), d)), d), c), And(b, d))
Fanin=[None,None,None,None,[And,0,1],[Or,4,2],[And,5,3],[And,6,3]]
Fanout=[[] for i in range(len(Fanin))]
for i in range(len(Fanin)): #i is index of node for which Fanout is to be foun... | true |
79b87f85b10a5a2f5b53b7a1b5af5d0cb498b446 | Python | nnminh98/Routing-with-DeepRL | /Network_environment/env/Old_implenentations/testing.py | UTF-8 | 1,678 | 2.546875 | 3 | [] | no_license | import random
import functools
import simpy
from SimComponents import PacketGenerator, PacketSink, SwitchPort, RandomBrancher, Packet
from Node import NetworkNode
if __name__ == '__main__':
env = simpy.Environment()
mean_pkt_size = 100.0 # in bytes
port_rate = 2.2 * 8 * mean_pkt_size
adist1 = functo... | true |
1a5f4e31abaec6402fb1779fae0ab23afc9c4b7c | Python | arita37/deeplearning | /theano/multi dim grid lstm to python.py | UTF-8 | 47,737 | 2.859375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Torch to Theano Python
grid-lstm-tensorflow
Examples of using GridLSTM (and GridRNN in general) in tensorflow
The GridRNN implementation in tensorflow is generic, in the sense that it supports multiple dimensions with various settings for input/output dimensions, priority dimensions and no... | true |
d63e66101b10e34a045704b620158258beeb3b1f | Python | adrianna-andrzejewska/UMZ_ZALICZENIE | /Zestaw1_3.py | UTF-8 | 628 | 2.84375 | 3 | [] | no_license | import pandas as pd
# loading pandas library
# loading data and changing float settings
df_data = pd.read_csv(
'train.tsv',
sep='\t',
names=[
'price', 'nr_rooms', 'meters', 'floors', 'location', 'description'])
pd.options.display.float_format = '{:.2f}'.format
# add csv file
df_... | true |
80347fc72b5b0ac5517f7ec95bed3bc26784ac81 | Python | dersonf/aulaemvideo | /exercicios/ex089.py | UTF-8 | 733 | 3.796875 | 4 | [] | no_license | #!/usr/bin/python36
ficha = []
cont = 'S'
while cont != 'N':
nome = str(input('Nome: '))
nota1 = float(input('Nota 1: '))
nota2 = float(input('Nota 2: '))
media = (nota1 + nota2) / 2
ficha.append([nome, [nota1, nota2], media])
cont = str(input('Deseja continuar? [S/N]')).upper().strip()[0]
print... | true |
9358597ab334356e6eb964bf484587843fc7e17a | Python | Aasthaengg/IBMdataset | /Python_codes/p03041/s658319623.py | UTF-8 | 96 | 2.5625 | 3 | [] | no_license | n,k=list(map(int,input().split()))
s=list(input())
s[k-1]=chr(ord(s[k-1])+32)
print("".join(s))
| true |
611bf70295049e21a3c92190c323662086534d3d | Python | Seralpa/AdventOfCode2018 | /day10/p1_p2.py | UTF-8 | 1,537 | 3.40625 | 3 | [
"MIT"
] | permissive | import re
import operator
data = re.compile(r"position=< ?(-?[0-9]+), ?(-?[0-9]+)> velocity=< ?(-?[0-9]+), ?(-?[0-9]+)>")
class Point:
def __init__(self, pos: tuple[int, int], vel: tuple[int, int]):
self.pos = pos
self.vel = vel
def move(self):
self.pos = (self.pos[0] + self.vel[0], self.pos[1] + self.vel... | true |
c9e853fbeac886d4b01c6151c9df91730cf2c7cb | Python | namratha-21/5003-assignment12 | /5003-tuplelist.py | UTF-8 | 150 | 3.03125 | 3 | [] | no_license | list =[("abc",93), ("mno",45), ("xyz",65)]
dict1=dict()
for student,score in list:
dict1.setdefault(student, []).append(score)
print(dict1)
| true |
66bcf69005a4000037e069a02613abb34a667b64 | Python | kwon-o/projecteuler | /051-100/055.py | UTF-8 | 841 | 3.4375 | 3 | [] | no_license | def deaching(int1):
str_lst = list(str(int1))
lst = []
for i in str_lst:
lst.append(int(i))
cnt = 0
for i in range(0,int(len(lst)/2)+1):
if lst[i] == lst[len(lst)-1-i]:
cnt += 1
else:
return False
break
if cnt == int(len(lst)/2) + 1... | true |
7902914a3628103ba075487eb6d6429deb161bf2 | Python | 45-Hrishi/Pandas-For-Data-Science | /12_Missing data.py | UTF-8 | 1,166 | 3.03125 | 3 | [] | no_license | '''
1. Real world data will often be misssing data for a variety of reasons.
2. Many machine learning models and statistical methods can not work with missing data points ,in which case we need to decide what to do with the missing data.
3. When reading in missing values.pandas will display them as NaN valueds.
4. T... | true |
5899d788d1d4bfea0b0144f39cf113c1b7853634 | Python | Prismary/python | /bag simulator/bag-simulator.py | UTF-8 | 2,789 | 3.296875 | 3 | [] | no_license | import ctypes
ctypes.windll.kernel32.SetConsoleTitleW("Bag-Simulator by Prismary")
print("---------------------------")
print(" Bag-Simulator by Prismary")
print("---------------------------")
contents = []
try:
readsave = open("bag.txt", "r")
for line in readsave:
contents.append(line.replace("\n", ""))... | true |
478795cb884cdca1159c5956cc85bef7ee673860 | Python | matsulib/cinema3-movies | /database/manage.py | UTF-8 | 551 | 2.5625 | 3 | [] | no_license | import os
import sys
import json
from urllib.parse import urlsplit
from pymongo import MongoClient
def delete_all(col):
col.delete_many({})
def insert_data(col, data):
col.insert_many(data)
if __name__ == '__main__':
url = os.getenv('MONGODB_URI', 'mongodb://localhost:27017/movies')
db_name = urlsp... | true |
4441b1db4f563439056060b0f9f9c23be8b49057 | Python | sakthi/Kingdoms | /kingdoms/websetup.py | UTF-8 | 2,008 | 2.515625 | 3 | [] | no_license | """Setup the endless-insomnia application"""
import logging, os, hashlib, datetime
from sqlalchemy.orm.exc import NoResultFound
from kingdoms.config.environment import load_environment
from kingdoms.model import meta
from kingdoms.model import Player, UnitTypeDescriptor
log = logging.getLogger(__name__)
def setup_a... | true |
2ee9ef013762978955da9adc6b91d675d9b3557d | Python | DwaynesWorld/deeplearning | /basic/linear_regression_excercise.py | UTF-8 | 2,098 | 2.9375 | 3 | [] | no_license | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
from sklearn.metrics import (mean_squared_error, classification_report)
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
# Read Data
housing_data = pd.read_csv('../__tensorf... | true |
fde4188c0a4eb59aae61bc7dfaf3dda5970d3c0e | Python | aCoffeeYin/pyreco | /repoData/vimoutliner-vimoutliner/allPythonContent.py | UTF-8 | 108,049 | 2.859375 | 3 | [] | no_license | __FILENAME__ = otl2html
#!/usr/bin/python2
# otl2html.py
# convert a tab-formatted outline from VIM to HTML
#
# Copyright 2001 Noel Henson All rights reserved
#
# ALPHA VERSION!!!
###########################################################################
# Basic function
#
# This program accepts text o... | true |
85feb2fc630fa3598bfd15a3debf5839b3f87571 | Python | koallen/cz4071-project-1 | /graph_analyzer/plot.py | UTF-8 | 5,477 | 2.671875 | 3 | [] | no_license | import sys
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import networkx as nx
import graph
import pandas as pd
import numpy as np
import os
import pickle
import math
def plot_curve(data, x_label, y_label, title, save_as, log=False, h_line=None, v_line=None):
x = list(data.k... | true |
807fc970073592ee0b15c5a8bb9d350d3c1c3976 | Python | arinanda/huffman-code-implementation-webapps | /storage/compressor/huffman/adaptive_huffman/compress.py | UTF-8 | 1,008 | 2.75 | 3 | [] | no_license | from common import util
from huffman.adaptive_huffman.adaptive_huffman import *
def encode(text):
encoded_text = str()
root = None
null = Node('null', 0)
node_list = dict()
for char in text:
if char in node_list:
encoded_text += get_code(node_list[char])
node_list[c... | true |
9087fc34a07550700b110fb6a52c0b74c3956d2e | Python | icavrak/SmartHomeSim | /PricingProfile_Dual.py | UTF-8 | 797 | 3.0625 | 3 | [] | no_license | import datetime
from PricingProfile import PricingProfile
class PricingProfile_Dual(PricingProfile):
def __init__(self):
self.low_price = 1.0
self.high_price = 2.0
def __init__(self, init_arguments):
arg_list = init_arguments.split(", ")
self.low_price = float(arg_list[0])
... | true |
4a8bb6e21e4ec579a42f10de91942d08bb8509ad | Python | jugal13/Python_Lab | /Python Lab/Programs/Program4a.py | UTF-8 | 146 | 3.625 | 4 | [] | no_license | def Initials(name):
return ''.join(list(map(lambda x:x[0],name.split())))
name=input("Enter full name: ")
print("Initials are: "+Initials(name))
| true |
45a4ea8f7b8b928083cb873e565b513850f9f38b | Python | minhntm/algorithm-in-python | /datastructures/tree/challenge2_find_kth_maximum.py | UTF-8 | 933 | 4.125 | 4 | [
"MIT"
] | permissive | """
Problem Statement:
- Implement a function findKthMax(root,k) which will take a BST and any number
“k” as an input and return kth maximum number from that tree.
Output:
- Returns kth maximum value from the given tree
Sample Input:
bst = {
6 -> 4,9
4 -> 2,5
9 -> 8,12
12 -> 10,... | true |
5e415c04f92fd542da428d890bdf4dcaf70355da | Python | JordanRussell3030/Farm_Simulation | /cow_class.py | UTF-8 | 352 | 3.53125 | 4 | [] | no_license | from animal_class import *
class Cow(Animal):
def __init__(self):
super().__init__(1, 5, 4)
self._type = "Cow"
def grow(self, food, water):
if food >= self._food_need and water >= self._water_need:
self._weight += self._growth_rate
self._days_growing += 1
... | true |
81e9a86ede649ff1a479f6061896b33b07c6a140 | Python | DouglasMartins1999/WorldHunting | /database/Words.py | UTF-8 | 11,848 | 2.875 | 3 | [] | no_license | countries = []
countries.append({
"name": "França",
"categories": {
"easy": [
["Paris", "Capital francesa"],
["Euro", "Moeda em circulação na França"],
["Torre Eiffel", "Popular torre erguida na capital do país"],
["Louvre", "Museu mais popular"],
... | true |
83ad4939afc767f8886bacf66d68e931215e4bed | Python | anandi24/PythonGames | /src/BullsAndCows/BullsAndCows.py | UTF-8 | 1,604 | 3.90625 | 4 | [] | no_license | import pandas as pd
import numpy as np
import random
def main():
print("Firstly, input the length of the sequence to be stored in memory")
print("Secondly, keep guessing the number stored in memory. Note: Every guess should be of the same length sequence as declared in step 1")
print("Keep guessing till yo... | true |
ff09bfde71fa3640bcebf6a19a302bed9d372adf | Python | khanhvu11/make-appointments-skill | /__init__.py | UTF-8 | 10,599 | 2.5625 | 3 | [] | no_license | from mycroft import MycroftSkill, intent_handler
from adapt.intent import IntentBuilder
from mycroft.util.parse import extract_datetime
from mycroft.util.time import now_local, default_timezone
import caldav
from caldav.elements import dav
from datetime import datetime, timedelta
import json
import pytz
from icalendar... | true |
b965e247e6b792e94b6ee0cbd0c3a4257dedede1 | Python | charankk21/KittyBank | /kittyTempWork.py | UTF-8 | 4,713 | 3.109375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 14 06:27:57 2018
@author: Charan
"""
import pandas as pd
transactions = pd.DataFrame()
customerProfile = pd.DataFrame()
def inititalizeTransaction_df():
global transactions
print('Initalizing the Kitty Bank')
dict2 = {'Custid':[101,102,103,10... | true |
b0e67e307f81ab4589084ec4bff6ff1c3dd2477c | Python | olavobacelar/spens-data-completion | /src/dataset.py | UTF-8 | 8,944 | 2.984375 | 3 | [
"MIT"
] | permissive | # Preparar os dados no __init__ para ser mais fácil depois.
#
import pandas as pd
import numpy as np
import numpy.random as rd
import random
from typing import Union
import torch
from dataclasses import dataclass, astuple
from torch.utils.data import Dataset, DataLoader
N_LETTERS = 26 # tirar daqui, prec... | true |
4c8722eeaa5d5cb72991b78f702dac4183d5578c | Python | adityaskarnik/algorithms | /Bubble Sort/bubble_sort.py | UTF-8 | 644 | 4.3125 | 4 | [] | no_license | def bubbleSort(itemList):
moreSwaps = True
counter = 0
while moreSwaps:
counter = counter + 1
print("Iteration number",counter)
moreSwaps = False
for element in range(len(itemList)-1):
if itemList[element] > itemList[element+1]:
moreSwaps = True
... | true |
30e8ee351b8ebf2b38af2ef7a452eee5e8f4581c | Python | EduardoArgenti/Python | /CursoEmVideo/ex039.py | UTF-8 | 634 | 4.125 | 4 | [
"MIT"
] | permissive | # Faça um programa que leia o ano de nascimento de um jovem e informe,
# de acordo com sua idade:
# - Se ele ainda vai se alistar ao serviço militar
# - Se é a hora de se alistar
# - Se já passou do tempo do alistamento
# - Seu programa também deverá mostrar o tempo que falta ou que
# passou do prazo
from datetime impo... | true |
4a4140adeaf59f48cf4dfb0f89ca1423e1f2310a | Python | nbanion/money | /money/category.py | UTF-8 | 8,029 | 3.828125 | 4 | [] | no_license | """Utilities for categorizing transactions.
This module provides functionality for categorizing series__ of transactions
using regex-based categorization schemes and index-specific manual edits. It is
useful for categorizing transactions and for validating categorizations.
__ https://pandas.pydata.org/pandas-docs/sta... | true |
bced7f810bbc828266f8465cf7a4a055db43e450 | Python | msrosenberg/TaxonomyMonographBuilder | /TMB_Create_Graphs.py | UTF-8 | 11,659 | 2.984375 | 3 | [] | no_license | """
Module containing the various graph and chart drawing algorithms (except for those related to maps)
"""
# external dependencies
from typing import Optional
import matplotlib.pyplot as mplpy
import matplotlib.ticker
from wordcloud import WordCloud
__TMP_PATH__ = "temp/"
# my approximation of the pygal color scheme... | true |
9d6a559c94c0f75967057a24a75b2c96fed76a20 | Python | kiran-kotresh/Python-code | /pop_growth.py | UTF-8 | 143 | 2.890625 | 3 | [] | no_license | def nb_year(p0, percent, aug, p):
current=p0
n=0
while(current<p):
current=current+current*(percent*0.01)+aug
n+=1
print(n)
| true |
21f112f9fdd71c727912073487ff0a50ff7d8a22 | Python | quvinh/pythoncb | /baitap3.py | UTF-8 | 296 | 3.03125 | 3 | [] | no_license | n = int(input("Nhap so phan tu:"))
lt = list()
for i in range(n):
x = int(input("Nhap phan tu thu %d :"%(i+1)))
lt.append(x)
s = 0
for i in lt:
s += i
f = open("file.txt","w")
f.write(str(lt))
f.write("tong :%d"%s)
f.close()
f = open("file.txt","r")
print(f.read())
| true |
4866e717ad1c80707aa245618ebc9776758bf6f6 | Python | zzc558/SpectralClusterNetflex | /clustering.py | UTF-8 | 2,226 | 2.921875 | 3 | [] | no_license | #!/usr/bin/env python3
from dataPreprocess import laplacian
import numpy as np
import scipy as sp
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
def clustering(matrix, k, movieIndex):
eValue, eVector = sp.sparse.linalg.eigs(matrix, k, which='SM')
# get rid of the movie nodes
count = 0
... | true |
4f181325c1ac81fb9668a166d3aa1883e34f30b5 | Python | rezo8/LyricClassifier | /song.py | UTF-8 | 7,021 | 2.890625 | 3 | [] | no_license | import spotifyclient
import pickle as pickle
from nltk.tokenize import word_tokenize
import os
import nltk
import numpy as np
import scipy
GENRES = [
'folk',
'rap',
'rock',
'r&b',
'country',
'blues'
]
class Song(object):
"""
Object containing the lyrics to a single song
Attributes:
lyrics: str... | true |
73d91f5c793268e7dc0b6ccb99ce1d68ef20449c | Python | mpreddy960/pythonPROJECTnew | /range.py | UTF-8 | 34 | 2.984375 | 3 | [] | no_license | for i in range(1,23):
print(i) | true |
31ee8b4b28d5fa4bd2db68c4df9465274ab3dbaa | Python | apalevich/PyMentor | /01_reminder_dates.py | UTF-8 | 3,481 | 4.28125 | 4 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This is an exercise maintained with my mentor Zcho05.
The exercise contains function called create_message() that returns a message about some reminder.
For example:
>>> create_message((2, 4, 6, 7,))
'Мы оповестим вас о предстоящих событиях за 2, 4, 6 и 7 дней'
"""
def ... | true |
de5d784f1c98723db35f425782de8236e1c66dc1 | Python | nobita44/CIP2021_tkinterQuiz | /main.py | UTF-8 | 4,927 | 3.71875 | 4 | [] | no_license | # Python program to create a simple GUI
# Simple Quiz using Tkinter
# import everything from tkinter
from tkinter import *
# and import messagebox as mb from tkinter
from tkinter import messagebox as mb
# import json to use json file for data
import json
# class to define the components of the GUI
class Quiz:
... | true |
618e229be5f7a32fc8823218e522f597e4c9e9b0 | Python | peterwilliams97/blank | /make_page_corpus.py | UTF-8 | 10,290 | 2.640625 | 3 | [
"MIT"
] | permissive | """
PDF to text conversion
"""
import os
from glob import glob
from collections import defaultdict, OrderedDict
import hashlib
from subprocess import CalledProcessError, Popen, PIPE
import re
from utils_peter import pdf_dir, summary_dir, save_json
from html_to_text import update_summary
import json
KBYTE = 1024
M... | true |
8a3dd94a7898bc65dd67c3d5912a76be4ed1abd5 | Python | kotaYkw/web_scraping_samples | /javascriptsample.py | UTF-8 | 722 | 2.65625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
url ='http://www.webscrapingfordatascience.com/simplejavascript/'
r = requests.get(url)
html_soup = BeautifulSoup(r.text, 'html.parser')
# ここにタグは含まれていない
ul_tag = html_soup.find('ul')
print(ul_tag)
# JavaScriptのこーどを表示する
script_tag = html_soup.find('script', ... | true |
41133b2b7a4d9cfbd1eae8832a07585cc4f604bc | Python | webclinic017/aqua | /src/aqua/security/stock.py | UTF-8 | 671 | 3.53125 | 4 | [] | no_license | """
Defines a stock contract
"""
from aqua.security.security import Security
class Stock(Security):
"""
A stock represents a share of a company or index.
We assume that it can be uniquely defined by a symbol (ticker).
"""
def __init__(self, symbol: str) -> None:
self.symbol = symbol.uppe... | true |
4980d6a9bda50932dfb6439d0f38e7cfca3bc170 | Python | cse442-at-ub/cse442-semester-project-indra-infared-remote-access | /RaspberryPi/util/pi_lirc.py | UTF-8 | 4,823 | 2.5625 | 3 | [] | no_license | from subprocess import check_output
import shutil
import dbus
import time
import os
from threading import Thread
from queue import Queue
LIRC_CONF_DIR = '/etc/lirc/lircd.conf.d'
def send_ir_signal(remote_name:str, button:str, method:str="ONCE", device:str=None) -> bool:
"""Sends an IR signal with LIRC.
A... | true |
26a055f95853e218e7ad5425bcd71f89848f0d12 | Python | weiiiiweiiii/BreakSpace | /spacebreakerlib/ScrollbarXY.py | UTF-8 | 845 | 3.21875 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Liangze Yu
"""
import tkinter as tk
class ScrollbarXY:
def __init__(self,textArea):
#pack with Window
self.__root = textArea.master
#function aligned to Text
self.__textArea = textArea
self.__xScrollbar()
... | true |
c6424c89aff12786212667ea046e8d8b702716dd | Python | georgetao/comp-programming | /beads.py | UTF-8 | 828 | 3.453125 | 3 | [] | no_license | """
ID: georget2
LANG: PYTHON3
TASK: beads
"""
import sys
with open("beads.in", "r") as fin:
n = int(fin.readline())
beads = fin.readline().replace("\n", "")
def longest_beads(n, beads):
curr_char = ""
prev = 0
curr = 0
longest = 0
tail_whites = 0
newStreak = False
for _ in range(2):
for c in beads:
if ... | true |
0cbe8f5588e8343644fb6af1bcc0b24c180649cd | Python | shkumagai/pyside-sandbox | /sample_ghost.py | UTF-8 | 495 | 2.53125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
import logging
import ghost
def main(url, output_path):
g = ghost.Ghost()
with g.start(display=True, viewport_size=(1366, 800)) as session:
res = session.open(url, timeout=30)
print(res)
if __name__ == '__main__':
url = 'http://www.google.com/'
output_path = 'c... | true |
93db1c4546a65d0ed8fd0476d861886e7f65e689 | Python | perikain/Pruebas | /upd1.py | UTF-8 | 454 | 3.09375 | 3 | [] | no_license | #!/usr/bin/env python
#!-*- coding: utf-8 -*-
import socket
host = "192.168.56.1"
port = 12345
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.bind((host,port))
s.settimeout(5) #añade una espera de 5 segundos, sólo entonces muestra el mensade error.
data, addr = s.recvfrom(1024) #recvfrom devue... | true |
e9c394ec9aaacc947ee2578e1920202417963867 | Python | RahulJain7/Openmodelica-Thermodynamic-Engine | /PythonFiles/UNIQUAC.py | UTF-8 | 921 | 2.640625 | 3 | [] | no_license | import csv
Compound = []
A12 = []
A21 = []
alpha = []
with open("UNIFAC.csv") as csvfile:
csvreader = csv.reader(csvfile,delimiter=',')
for row in csvreader:
Comp1 = row[2]
Comp1 = Comp1.capitalize()
Comp1 = Comp1.strip(" ")
Comp2 = row[3]
Comp2 = Comp2.capitalize()
... | true |
4980500d446bc774f7c00abe2bb0543fdbe1cf66 | Python | wsustcid/Udacity-Self-Driving-Car-Engineer-Nanodegree | /Term1/Scripts/02.[Project] Finding Lane Lines/4_color_selection.py | UTF-8 | 1,736 | 3.28125 | 3 | [] | no_license | '''
@Author: Shuai Wang
@Github: https://github.com/wsustcid
@Version: 1.0.0
@Date: 2020-03-26 11:45:38
@LastEditTime: 2020-04-02 11:26:00
'''
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
# Read in the image
image = mpimg.imread('lane.jpg')
print('This image is: ',... | true |
f0343f86e207f2c0a7e8898faeb52d2d656288af | Python | danyontb/ProgrammingPortfolio | /Classes/pyramid.py | UTF-8 | 302 | 3.25 | 3 | [] | no_license | class pyramid:
import math
l = input('Enter in a length:')
w = input('Enter in a width:')
h = input('Enter in a height:')
L = int(l)
W = int(w)
H= int(h)
print('volume: ', (L*W*H)/3)
print('surface area: ', L*W+L*math.sqrt(((W*W)/4)+H*H)+W*math.sqrt(((L*L)/4)+H*H))
| true |
988ef3f265aa445e72e52a39e1e08bb543e14349 | Python | CXOldStar/lorawanprotocol | /lorawanprotocol/assert_judge.py | UTF-8 | 644 | 2.546875 | 3 | [
"MIT"
] | permissive | from .customer_error import AssertError
class AssertJudge:
@staticmethod
def assert_nwkskey(nwkskey):
if not (isinstance(nwkskey, bytes) and len(nwkskey) == 16):
raise AssertError('NwkSKey', 'NwkSKey must be a 16 bytes data.')
@staticmethod
def assert_appskey(appskey):
if n... | true |
d9611a5577f39f2956102aea79c478f3d27aaa95 | Python | abdallawi/PythonBasic | /python-standard-lib/WorkingWithPaths.py | UTF-8 | 2,802 | 4.09375 | 4 | [] | no_license | from pathlib import Path
# Makes sense:
new_line = '\n'
# When you wanna work with files and directories,
# you will need a Path object that represents where that file or directory lives.
# Here are 2 examples that show the difference between a Unix and a Windows folder hierarchy:
# Unix: /home/elliot/Desk... | true |
df525b01a7037dc73a9e286223ef7e29977b6610 | Python | chakshujain/Python-projects | /Whatsapp_automation.py | UTF-8 | 665 | 2.90625 | 3 | [] | no_license | from selenium import webdriver
driver = webdriver.Chrome()
driver.get('https://web.whatsapp.com/')
nameslist = list(map(str,input("Enter names of users you wanna send message: ").split()))
msg = input("Enter message: ")
count = int(input("How many times you wanna send: "))
input("Enter any key after scanning code")
... | true |
d36258c11914ca73f7e2bb3c99e8c38c053c6fa5 | Python | lolizz00/JESD | /ConsoleApp.py | UTF-8 | 8,571 | 2.953125 | 3 | [] | no_license | from JESDdriver import JESD
import sys
from version import version_logo
class ConsoleApp:
def __init__(self):
self.dev = JESD()
def outError(self):
sys.stdout.write('Wrong args!')
def handleArgs(self, argv):
# вывод помощи, копипаст из README
if argv[0] == '-h' or argv[... | true |
c3b9d8ddd9d30c182aea5ed3735e2d1ba95c7761 | Python | duykienvp/sigspatial-2021-quantify-voi-of-trajectories | /pup/common/information_gain.py | UTF-8 | 506 | 3.671875 | 4 | [
"MIT"
] | permissive | # Calculate Information Gain
import logging
import numpy as np
logger = logging.getLogger(__name__)
def calculate_differential_entropy_norm(sigma, base=2) -> float:
""" Differential entropy of a normal distribution with standard deviation sigma is: 0.5log(2*pi*e*sigma*sigma)
:param sigma: standard deviati... | true |
35a59bbd5bafdd69409557d304a26fe5c3057a1e | Python | yangyu57587720/kindergarten | /apps/users/models.py | UTF-8 | 2,571 | 2.640625 | 3 | [] | no_license | """用户相关的模型表"""
from django.db import models
from django.contrib.auth.models import AbstractUser # 导入auth-user模块
from datetime import datetime
class UserProfile(AbstractUser):
"""继承django模块AbstractBaseUser并扩展"""
nick_name = models.CharField(max_length=32, default="", verbose_name="昵称")
# null针对数据库字段可以为... | true |
801e71f9964f702b756a558ecc2c0c7d57421e66 | Python | singhalsrishty/pythonEthans | /29March_assignment.py | UTF-8 | 6,924 | 4.40625 | 4 | [] | no_license | '''
1. Write a program which can compute the factorial of a give numbers.
The results should be printed in a comma-separated sequence on a single line. Suppose the
following input is supplied to the program:
8
Then, the output should be:
40320
'''
def factorial(num):
fact = 1;
if num == 0:
return fact... | true |
a30b833a2b5ea85ddaa61ccf77832a724af5dd50 | Python | AdamPellot/AutomateTheBoringStuffProjects | /Ch16/autoUnsub.py | UTF-8 | 1,229 | 2.765625 | 3 | [
"MIT"
] | permissive | #! python3
# autoUnsub.py - Scans through your email account, finds all the
# unsubscribe links in all your emails, and automatically
# opens them in a browser.
# Adam Pellot
import bs4
import imapclient
import pyzmail
import webbrowser
print('Enter your email address:')
myEmail = input(... | true |
c8903005a4f320d81e6a51d1806d4043878cd4be | Python | laxmanbudihal/Selenium | /open-close.py | UTF-8 | 544 | 2.9375 | 3 | [] | no_license | from selenium import webdriver
import os
if 'chromedriver.exe' in os.listdir():
# platform independent use os module
x = os.path.join(os.getcwd(), 'chromedriver.exe')
print(x)
driver = webdriver.Chrome(x)
else:
# if chrome driver is not found
print('Warning : chrome binaries missing... | true |
5406cbc623165068791fc63e6ec23b5802616be5 | Python | deenaariff/Weave-Client | /RestClient/helpers/dockerCluster.py | UTF-8 | 3,370 | 2.546875 | 3 | [] | no_license | import dataHelper as dh
import time, sys, os
import docker
import shutil
class Cluster:
def __init__(self, configs, docker_image):
self.docker_ip = "192.168.99.100"
self.docker_image = docker_image;
self.routes = []
self.client = docker.from_env()
self.containers = []
... | true |
614fa8d31eae7b19580fe23e1ac2e748ce8385a3 | Python | HongbinW/learn_python | /learn_python/名片管理/cards_main.py | UTF-8 | 817 | 3.09375 | 3 | [] | no_license |
import cars_tools
while True:
# TODO 显示功能菜单
cars_tools.show_menu()
action_str = input("请选择要执行的操作：")
print("您选择的操作是【%s】" % action_str)
# 1,2,3针对名片的操作
# 0退出新四通
# 其他输入错误，并提示用户
if action_str in ["1","2","3"]:
if action_str =="1":
cars_tools.new_card()
elif action_str =="2":
cars_tools.show_all()
el... | true |
d0092bd2dc93be4e4a040182a46fc8c4114814a1 | Python | xczhang07/Python | /third_party_libs/python_memcached.py | UTF-8 | 2,003 | 2.9375 | 3 | [] | no_license | # concept of memcached: high-performance, distributed memory object caching system.
# official site: https://memcached.org
# how to install: on mac os: brew install memcached
# install python library (client app) to interact with memcached server: pip install pymemcache
''' after install memcached on your device, let u... | true |
22d008471f29f1c1b71643b0382d331500109143 | Python | lautarianoo/LautAvito | /cities/models.py | UTF-8 | 1,120 | 2.578125 | 3 | [
"BSD-3-Clause"
] | permissive | from django.db import models
class City(models.Model):
title = models.CharField(verbose_name='Название города', max_length=100)
def __str__(self):
return self.title
class Meta:
verbose_name = 'Город'
verbose_name_plural = 'Города'
class District(models.Model):
title = model... | true |
1cd2f86e9ce899d12fe48a54287633175e0b027b | Python | luzifi/CREDIT-RISK-2020B | /src/classwork/industry-crawler/models.py | UTF-8 | 4,079 | 2.734375 | 3 | [
"MIT"
] | permissive | import json
from typing import List
import requests
from bs4 import BeautifulSoup
class AbstractIndustry:
def __init__(self, title: str, children: List['AbstractIndustry']):
self.title = title
self.children = children
def __repr__(self):
return f"<{self.level}, {self.title}>"
@... | true |
0a95a75c2c44240a0588a85d1f4451c28a44bf35 | Python | jawhelan/PyCharm | /PyLearn/Exercise Files/Treehouse/split and join.py | UTF-8 | 432 | 3.53125 | 4 | [] | no_license | full_name = "james Whelan"
# split full name "James Whale" into "James", "whelan"
name_list = full_name.split()
greeting_var="hello my name is tim"
#split string "hello my name is tim" to "hello", "my"," name", "is", "tim"
greeting_list = greeting_var.split()
# swap out the name tim with james
greeting_list[4] =... | true |
4644782b7e7d940bec7d266d29d07a532fa79771 | Python | michaeltrimm/python-notes | /memory.py | UTF-8 | 1,298 | 3.234375 | 3 | [] | no_license | #!/usr/local/bin/python3
import resource
import sys
"""
List
Squaring numbers 1 to 10,000,000
Before: 7.312Mb
After: 332.539Mb
Consumed = 325.22Mb memory
Generator
Squaring numbers 1 to 10,000,000
Before: 332.543Mb
After: 332.543Mb
Consumed = 0.0Mb memory
"""
# Size of the sample set
to = 10000000 # 10... | true |
68919dce6728c9371f12037f9b63f1894d9b5ff0 | Python | zuxinlin/leetcode | /leetcode/121.BestTimeToBuyAndSellStock.py | UTF-8 | 996 | 3.96875 | 4 | [] | no_license | #! /usr/bin/env python
# coding: utf-8
'''
题目： 买卖股票的最佳时机 https://leetcode-cn.com/problems/best-time-to-buy-and-sell-stock/
主题： array & dynamic programming
解题思路：
状态转移方程：dp[i] = max(dp[i-1], prices[i] - min)，表示当前到i最大利润
'''
class Solution(object):
def maxProfit(self, prices):
'''
:type prices: List... | true |
7fc24b3261634c344c0218a74b4b0bbbcf1dd395 | Python | nikkureev/bioinformatics | /ДЗ 15/Task 15.3.py | UTF-8 | 279 | 3.078125 | 3 | [] | no_license | mport re
file = 'C:/Python/2430AD.txt'
# This one will help you to obtain all a-containing words
def a_finder(inp):
with open(inp, 'r') as f:
for lines in f:
for i in re.findall('/\b[\w+]*a[\w+]*\b/gi', lines):
print(i)
a_finder(file)
| true |
b3f6c8bb6ea51dc56cee3bd5934b6f114e56cad5 | Python | mudits89/Just_Analytics_Test | /just_analytics__linked_list.py | UTF-8 | 2,668 | 3.875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 30 08:53:28 2018
@author: mudit
"""
class Node:
def __init__(self, data, nextNode=None):
self.data = data
self.nextNode = nextNode
def getData(self):
return self.data
def setData(self, val):
self.data = val
... | true |
63207141aa5149358c23a5d065e344fc1f4d317d | Python | ShivaBasava/Letsupgrade_WeeklyCodeBattle | /Week13/app.py | UTF-8 | 3,807 | 4.40625 | 4 | [
"MIT"
] | permissive | '''
Solution to WEEKLY CODE BATTLE - WEEK 13
NOTE: This 'app.py' file, contains the following-
1] Solution:- To the WEEKLY CODE BATTLE:- WEEK 13, A Language Translator.
2] Code & Explaination:- to the written code, line-by-line as comments.
3] Example Output
1] Solution-
a] We have made us... | true |
979ead30158ba9533187ab8976f364fb2820be3d | Python | nima-m-git/exercism-python | /sieve/sieve.py | UTF-8 | 199 | 3.171875 | 3 | [] | no_license | def primes(limit):
all = list(range(2, limit+1))
for i in all:
for x in range(2, round(limit/i)+1):
if (i*x) in all:
all.remove(i*x)
return all
| true |
9a185a70bed9931e4fd2ed380bbd9aacbad798e5 | Python | rdotlee/hologram-python | /scripts/examples/example-sms-csrpsk.py | UTF-8 | 1,127 | 2.796875 | 3 | [
"MIT"
] | permissive | #
# example-sms-csrpsk.py - Example of sending SMS via CSRPSK Authentication in the Hologram Python SDK
#
# Author: Hologram <support@hologram.io>
#
# Copyright 2016 - Hologram (Konekt, Inc.)
#
# LICENSE: Distributed under the terms of the MIT License
#
import sys
sys.path.append(".")
sys.path.append("..")
sys.path.a... | true |
ca4ee49ef2cb2621ee692e5da8a5d5cf02d63c84 | Python | irisqul/cryptopals-excercise | /set1/base64_hex.py | UTF-8 | 257 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | from binascii import hexlify, unhexlify
from base64 import b64encode, b64decode
hex_string = '49276d206b696c6c696e6720796f757220627261696e206c696b65206120706f69736f6e6f7573206d757368726f6f6d'
b64_string = b64encode(unhexlify(hex_string))
print(b64_string)
| true |
8534a790d4d8178f1fc185c13233fcf1b1eb9fd2 | Python | zyzisyz/LeetCode | /py/0034.py | UTF-8 | 377 | 3.171875 | 3 | [] | no_license | class Solution:
def searchRange(self, nums: List[int], target: int) -> List[int]:
try:
length = len(nums)
first = nums.index(target)
second = first
while second+1 < length and nums[second+1] == target:
second = second + 1
return [fi... | true |
f7d8b61754a08da4f834782553ea3e7557ba09ff | Python | gssgch/gssgML | /com.ch/python/pythonCourse/chapter7/QueneTest.py | UTF-8 | 1,173 | 3.703125 | 4 | [] | no_license | #!/usr/bin/python
# encoding:utf-8
# 利用python实现queue
class queue:
def __init__(self, size=20):
self.size = size
self.queue = []
self.end = -1
def setsize(self, size):
self.size = size
def In(self, n):
if self.end < self.size - 1:
self.queue.append(n)
... | true |
3a9f801a0f05ba1be1d0ebee0f333879694986e1 | Python | giddy123/raspberry-pi-robotics | /servocontrol.py | UTF-8 | 2,544 | 3.109375 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
# Servo Control for Raspberry Pi with Adafruit servo control board
# Created by Dmitriy Buslovich
#-------------------------------------------------------------------------------
#### Imports ####
# Download this file from github: https://github.com/adafruit/Adafruit-Raspberry-Pi-Python-Code/blo... | true |
b55d5f86cdec95574fa521a4bccac3a56774eabe | Python | 8Michelle/edward | /handlers/tasks.py | UTF-8 | 9,189 | 2.5625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""This module contains handlers for tasks.
Task interface supports starting a new task and ending current one,
starting new session, checking today working time, current date and all data.
"""
from aiogram import types
import datetime
import asyncio
from core import dp, States, bot, KEYBOARD... | true |
8362128b5b0b981487a8cceeb829d0f03caa0336 | Python | Hemie143/automatetheboringstuff | /ch17_keeping_time/ex04_convert.py | UTF-8 | 828 | 3.375 | 3 | [] | no_license | import datetime
oct21st = datetime.datetime(2019, 10, 21, 16, 29, 0)
print(oct21st.strftime('%Y/%m/%d %H:%M:%S')) # '2019/10/21 16:29:00'
print(oct21st.strftime('%I:%M %p')) # '04:29 PM'
print(oct21st.strftime("%B of '%y")) # "Octob... | true |
0a7f75292678b205f770287a8e98dfff8553d4b0 | Python | walid-shalaby/knowledge-based-dimensionality-reduction | /code/python/ng20/ng20_vocabulary_builder.py | UTF-8 | 22,250 | 3.015625 | 3 | [] | no_license | ## 20ng Vocabulary Builder
# Build stemmed and lemmatized vocabulary (unigrams + bigrams) from 20ng corpus and store into DB
def build_vocabulary(corpus,tokenizer,stop_words,max_ngram_size,min_df,min_tf):
from sklearn.feature_extraction.text import CountVectorizer
from ng20_globals import max_df
# tok... | true |
dff71182388a15d57244452aebd9657812636943 | Python | NTHU-CS50-2020/week6 | /107062104/readability.py | UTF-8 | 635 | 3.734375 | 4 | [] | no_license | from cs50 import get_string
def main():
text = get_string('Text: ')
print(GradeCal(text))
def GradeCal(text):
letters = 0
words = 1 if text else 0
sentences = 0
for letter in text:
letters += 1 if letter.isalpha() else 0
words += 1 if letter.isspace() else 0
sentences... | true |
a3ab7b94874b2ab2fe04f47b7304eccfb3ce50ae | Python | MrCat9/Python_Note | /55_proxy_ip.py | UTF-8 | 1,031 | 2.9375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# 配合使用 https://github.com/qiyeboy/IPProxyPool
# 需先开启代理IP的服务
import requests
import json
from random import sample
def get_proxy_ip(url_str):
"""
获取代理IP
返回一个 tuple (ip, port)
:param url_str: 代理IP接口
:return: (ip, port) <class 'tuple'>
"""
r = requests.get(url_str)... | true |
66581051b01da95e0f0dcfe1eb4f09388060b07c | Python | qiupinghe/BTH-TE2502-MasterThesis | /normality_tests.py | UTF-8 | 53,562 | 2.546875 | 3 | [] | no_license | from itertools import islice
import statistics
import numpy
import math
import PyGnuplot as gp
from scipy.stats import sem, t
from scipy import mean, median, stats
import sys
from numpy.random import seed
from numpy.random import randn
from numpy import mean
from numpy import std
from matplotlib import pyplot
from sta... | true |
8094beb6206722ad86c33fb9d7ae3b52e07d7ea3 | Python | coffeemakr/python-thr | /thr/utils.py | UTF-8 | 724 | 3.34375 | 3 | [
"Unlicense"
] | permissive | import hmac
EMAIL_HMAC_KEY = b'0\xa5P\x0f\xed\x97\x01\xfam\xef\xdba\x08A\x90\x0f\xeb\xb8\xe40\x88\x1fz\xd8\x16\x82bd\xec\t\xba\xd7'
PHONE_HMAC_KEY = b'\x85\xad\xf8"iS\xf3\xd9l\xfd]\t\xbf)U^\xb9U\xfc\xd8\xaa^\xc4\xf9\xfc\xd8i\xe2X7\x07#'
def _hmac_sha256_hex(key, msg):
h = hmac.new(key=key, digestmod='sha256')
... | true |
028530cb0de539eaf3a874ffb5197351a9e75ea8 | Python | diverse-project/varylatex | /vary/model/files/directory.py | UTF-8 | 1,529 | 2.59375 | 3 | [] | no_license | import os
import shutil
import time
from pathlib import Path
def clear_directory(path):
"""
Removes the content of a directory without removing the directory itself
"""
for root, dirs, files in os.walk(path):
for f in files:
os.unlink(os.path.join(root, f))
for d in dirs:
... | true |
e900ae1c01cde3cc20cd4a387cee03532d04700c | Python | srinivasanprashant/Bachelors-degrees-women-USA | /data-analysis.py | UTF-8 | 7,994 | 3.765625 | 4 | [] | no_license | import pandas as pd
import matplotlib.pyplot as plt
women_degrees = pd.read_csv('percent-bachelors-degrees-women-usa.csv')
# fig, ax = plt.subplots()
# ax.plot(women_degrees['Year'], women_degrees['Biology'], label='Women')
# ax.plot(women_degrees['Year'], 100-women_degrees['Biology'], label='Men')
# # customize the... | true |
58344b304457457eee97093ae4618173cd000088 | Python | Yaskeir/Python | /cartesianToSpherical.py | UTF-8 | 1,358 | 4.59375 | 5 | [] | no_license | import math
# start with the cartesian input
print("Please provide the x, y and z coordinates:")
cartesianX = float(input("x: "))
cartesianY = float(input("y: "))
cartesianZ = float(input("z: "))
# define two separate recalculation functions so that they can be re-used in other code
def cartesianToSpherical(x, y, ... | true |
f1bd97c9a0d37e14c3582e7b143dc215626bb4ce | Python | Dm1triiy/stepik | /512.Python.Advanced/3.3.1.py | UTF-8 | 394 | 2.96875 | 3 | [] | no_license | import requests
import re
source = requests.get(input().strip())
target_url = input().strip()
urls = []
step_status = False
if source.status_code == 200:
urls = re.findall(r'href="(.+?)"', source.text)
for url in urls:
page = requests.get(url)
if page.status_code == 200:
if target_url in page.te... | true |