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 |
|---|---|---|---|---|---|---|---|---|---|---|
25be6f3ff800f12831060e1466c1ee069f1a7aad | xljixieqiu/fluentpython | /demo13_10.py | UTF-8 | 3,105 | 2.890625 | 3 | [] | no_license | import functools
import math
import itertools
from array import array
import reprlib
import numbers
import operator
import itertools
class Vector:
typecode='d'
def __init__(self,components):
self._components=array(self.typecode,components)
def __iter__(self):
return iter(self._components)
def __repr__(self):... | true |
3d69a089ae2493e85a47f98e4315ca9afb2b1f1c | Aasthaengg/IBMdataset | /Python_codes/p02408/s431845137.py | UTF-8 | 677 | 3.109375 | 3 | [] | no_license | n = int(input())
S = [False for i in range(13)]
D = [False for i in range(13)]
C = [False for i in range(13)]
H = [False for i in range(13)]
for i in range(n):
a,b = input().split()
b = int(b)
if a == "S":
S[b-1] = True
elif a == "D":
D[b-1] = True
elif a == "C":
C[b-1] = ... | true |
9fd8ee7f9be4eec26dbf72bc8e61287cb63e4d81 | theoliver7/hslu-pren2-team1 | /stair-climber/camera/video_stream.py | UTF-8 | 1,712 | 3.140625 | 3 | [] | no_license | # Import packages
from threading import Thread
import cv2
# Define VideoStream class to handle streaming of video from webcam in separate processing thread
# Source - Adrian Rosebrock, PyImageSearch: https://www.pyimagesearch.com/2015/12/28/increasing-raspberry-pi-fps-with-python-and-opencv/
class VideoStream:
"... | true |
23ea645f435df7a761e2bf95f18e0efd87fed0ed | ningrulin/PerformanceTest | /public/HttpClient.py | UTF-8 | 10,157 | 2.53125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""__author__ = 'jiazhu'"""
import logging
import re
import time
import requests
from requests import Response, Request
from requests.exceptions import (RequestException, MissingSchema,
InvalidSchema, InvalidURL)
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
from public import Eve... | true |
a8672ff5422389fd2b1bf6b097e6b4be682ddc18 | BreezeDawn/LeetCode | /first/字符串/中等/816. 模糊坐标.py | UTF-8 | 1,521 | 3.078125 | 3 | [
"Apache-2.0"
] | permissive | class Num816(object):
@staticmethod
def leetcode(S):
S = S[1:-1]
ans = []
res = []
for i in range(len(S) - 1):
tmp = []
tmp.append(S[:i + 1])
tmp.append(S[i + 1:])
ans.append(tmp)
for i in ans:
for m in range(len... | true |
2258d1d25b183754a95e4c3a50d14399a4b83b4a | bam6076/PythonEdX | /midterm_part4.py | UTF-8 | 524 | 4.28125 | 4 | [] | no_license | ## Write a function named list_of_primes that accepts a positive integer n
## and returns a sorted list (ascending order) of all the prime numbers
## between 2 and n (including 2 but not including n)
def list_of_primes(n):
plist = []
if n == 2:
plist.append(2)
for i in range (2, n):
... | true |
50b65658186cc3ae29a3cc3ba83b269f6532ff5c | dkm/python-jy901 | /jy901/device.py | UTF-8 | 6,306 | 3.015625 | 3 | [] | no_license | import random
import time
from .frames import *
class DumbDevice:
"""
Same interface, simply returns random data.
"""
def __init__(self, freq):
self.next_frame_idx = 0
self.period = 1 / freq
self.cur_angle = (0,0,0)
self.cur_temp = 25
self.cur_acc = (0,0,-1)
... | true |
e203045424e76e23dbff458a319014b4307ac083 | anhnt2407/DNNs-PINNs | /Func/func.py | UTF-8 | 1,281 | 2.890625 | 3 | [] | no_license | '''
DNNs for regression
@Author: Xuhui Meng
'''
import os
os.environ['CUDA_VISIBLE_DEVICES']='-1'
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from net import DNN
np.random.seed(1234)
tf.set_random_seed(1234)
def main():
layers = [1] + 3*[20] + [1]
x = np.linspace(-1, 1, 21).r... | true |
bedfd38a44e2d2aa02c88e2b1d270be188e883c5 | LingB94/Target-Offer | /24反转链表.py | UTF-8 | 692 | 3.4375 | 3 | [] | no_license | class listNode(object):
def __init__(self, n):
self.val = n
self.next = None
def reversedList(L):
if(L.next == None or not L):
return False
p = L.next
pPrev = None
reversedHead = listNode(0)
while(p):
pPost = p.next
if(pPost == None):
... | true |
892ad81ccd159ec746c1aecae18076a6b1779ed2 | nallamuthu/RedTeam | /RT-APT2EXCEL/main.py | UTF-8 | 1,383 | 2.5625 | 3 | [] | no_license | from custom_parser import *
import xlsxwriter
group_name,group_dict=json_file_load('APT32.json')
excel_file_name=group_name+'.xlsx'
workbook = xlsxwriter.Workbook(excel_file_name)
worksheet = workbook.add_worksheet(group_name)
header_cell_format = workbook.add_format({'bold': True, 'border': True, 'bg_color': 'yello... | true |
1c5a069fd56f2b3f34164ee8896785b2f2025c1b | evelinamorim/wordembedding | /sa/config.py | UTF-8 | 653 | 2.90625 | 3 | [] | no_license |
class Config:
def __init__(self):
self.__fields = {}
def read(self, fileName):
fd = open(fileName, 'r')
for line in fd:
lst = line.replace('\n', '').split('=')
conf_values = lst[1].split(';')
for v in conf_values:
lst_v = v.split(',... | true |
069b44dd2524a1beb9f705bf0c1683b1173ff74e | gumblex/simplify.py | /simplify.py | UTF-8 | 4,640 | 3.78125 | 4 | [] | no_license | """
simplify.py is a simple port of simplify.js by Vladimir Agafonkin
(https://github.com/mourner/simplify-js)
It uses a combination of Douglas-Peucker and Radial Distance algorithms.
"""
try:
rangefunc = xrange
except NameError:
rangefunc = range
def getSquareDistance2d(p1, p2):
"""
Square distance ... | true |
ce9cc701fcda7efac27dd167355f75e64db80349 | shantanuj/DSP | /Lab3Example.py | UTF-8 | 1,661 | 3.421875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 2 13:10:08 2017
@author: Chng Eng Siong
Date: Dec 2017, using python to solve DSP problems
purpose - to remove dependency on Matlab
"""
# using quiver to plot the vectors 'arrow' showing the direction it is pointing to
# we plot for k=1, you can change this va... | true |
caf8a86ae11b242ddb168bbcbbfa6c6ee7a51d82 | michaelbaz6123/sortingVisualizer | /sortingVisualizer.py | UTF-8 | 3,095 | 3.109375 | 3 | [] | no_license | import tkinter as tk
import random as rand
import time
import sys
def init_rect_dict():
for i in range(N):
h = rand.randint(0,550)
height_list.append(h)
global is_sorted
update()
def _shuffle():
global height_list
height_list = []
canvas.delete("all")
for ... | true |
2b60b88dcf4f0b3a6b46ad2fd4b61c987953b592 | GongkunJiang/Github | /Python/test_1119.py | UTF-8 | 2,405 | 3.171875 | 3 | [] | no_license | """
Author: Dell
Time: 2019/11/19 14:18
"""
import random
import matplotlib.pyplot as plt
import math as mt
def xor(s1, s2):
result = ''
for i in range(len(s1)):
if s1[i] == s2[i]:
result += '0'
else:
result += '1'
return result
def inverse(s):
result ... | true |
1b6fa0c1a72d83a3f6b64e5de7f6a6135fc65c8e | 2779857034/qinzhiming | /day01/zuoye1.py | UTF-8 | 189 | 3.703125 | 4 | [] | no_license | num1,num2 = eval(input("请输入两个整型数"))
if num1>num2:
print("{}大于{}".format(num1,num2))
elif num1<num2:
print("{}大于{}".format(num2,num1))
else:
print("两数相等")
| true |
ade710b4e85cf0550578dd80fe1631724da7e92a | abhishekkr/tutorials_as_code | /talks-articles/dataengines/redis/redis-pub-sub.py | UTF-8 | 1,303 | 2.59375 | 3 | [
"MIT"
] | permissive | import redis
import sys
def publish(redcli, channel):
redcli.publish(channel, "this")
redcli.publish(channel, "is")
redcli.publish(channel, "a")
redcli.publish(channel, "stream")
redcli.publish(channel, ".")
print('done.')
def subscribe(redcli, channel):
sub = redcli.pubsub()
sub.sub... | true |
27cef7b9a9202fc704b36376dd708aa836fbddab | Shuravin/python_practice | /Introduction to Computer Science - MITx/Week 1 Python Basics/Ex. 2.5.py | UTF-8 | 381 | 3.40625 | 3 | [] | no_license | s = "dsfailewbafilweafi"
count = 0
index = 0
while index < len(s):
if s[index] == "a":
count += 1
elif s[index] == "e":
count += 1
elif s[index] == "i":
count += 1
elif s[index] == "o":
count += 1
elif s[index] == "u":
count += 1
else:
count = co... | true |
22561539dbf159c5a9300fd617b33be4eff9ecca | Miamiohlibs/worldcat | /python/test-multi.py | UTF-8 | 3,007 | 3.421875 | 3 | [
"Apache-2.0"
] | permissive | import sqlite3
import multiprocessing
'''
This program starts a daemon process that listens on a queue.
It then starts 10 processes that place integers in the queue.
The listening daemon pulls the integers out of the queue and
stores them in the database.
https://gist.github.com/cessor/f8bf530212fbe75263c79564f5fc15ad... | true |
f097f37dc1691271ad151f091c220d33faace42c | Jaehwi01/TIL | /python/module_test/a.py | UTF-8 | 90 | 3.375 | 3 | [] | no_license | def add(a,b):
return a+b
def mul(a,b):
return a*b
print(add(3,4))
print(mul(3,4)) | true |
518f9f6b046b3e6f2a33d580c8fdf09851390ae1 | m-ahmadi/exref | /ml/sklearn/util.py | UTF-8 | 2,335 | 3.125 | 3 | [
"MIT"
] | permissive | # https://scikit-learn.org/stable/modules/classes.html#module-sklearn.utils
# https://scikit-learn.org/stable/modules/classes.html#module-sklearn.preprocessing
#@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# linear algebra two-point transform
from sklearn.preprocessing import minmax_scale
minmax_scale(X, feature_... | true |
22fac02c3a902f76802b15a3335f5d1d0521c47d | kiansweeney11/ca117-programming2 | /words_041.py | UTF-8 | 410 | 2.765625 | 3 | [] | no_license | #!/usr/bin/env python
def main():
import sys
d = {}
a = []
for line in sys.stdin:
sentence = line.lower().split()
for token in sentence:
count = 0
i = 0
while i < len(token) and token[i] is not token.isalnum() and token[i] != " ":
... | true |
e63703064a6fc7b1050a2e43b43eaa06d803a7fd | zero-one-group/zot-internship | /maxine/python/euler/problem2.py | UTF-8 | 572 | 4 | 4 | [] | no_license | """each new term in the Fibonacci sequence is generated by adding the previous two
terms. By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not
exceed four million, find the sum of the even-valued... | true |
2143316a7352cbe56a77a58d106cb7824f754fa0 | nke001/dreamprop | /lib/hidden.py | UTF-8 | 2,910 | 2.546875 | 3 | [] | no_license | import theano
import theano.tensor as T
import numpy as np
#import numpy.random as rng
class HiddenLayer:
def __init__(self, num_in, num_out, activation = 'lrelu', batch_norm = False, layer_norm = False, norm_prop = False):
self.activation = activation
self.batch_norm = batch_norm
self.la... | true |
69e4cc9fa6c49ef80426cf058999b918a778e702 | pedrocambui/exercicios_e_desafios | /python/cursoemvideo/ex024.py | UTF-8 | 104 | 3.25 | 3 | [] | no_license | cidade = str(input('Digite o nome de uma cidade: ')).upper().strip()
print(cidade.split()[0] == 'SANTO') | true |
ea363a759cb1af3b8fbd525dc6625664cc81db94 | heavypanther/MicroBitStuff | /main.py | UTF-8 | 2,058 | 2.8125 | 3 | [] | no_license | def ReadButtons():
global lastButtonNum, buttonVal, buttonNum
lastButtonNum = buttonNum
buttonVal = pins.analog_read_pin(AnalogPin.P2)
if buttonVal < 256:
buttonNum = 1
elif buttonVal < 597:
buttonNum = 2
elif buttonVal < 725:
buttonNum = 3
elif buttonVal < 793:
... | true |
137830ffd98c5a3701cadf3c19e5e2626647c851 | GabrielSilva2y3d/Snake-game-python-igti | /tela.py | UTF-8 | 803 | 2.90625 | 3 | [
"MIT"
] | permissive | import pygame
from pygame.locals import *
from sys import exit
background_image_filename = 'background.jpg'
pygame.init()
screen = pygame.display.set_mode((640,480), 0, 32)
background = pygame.image.load(background_image_filename).convert()
Fullscreen = False
while True:
for event in pygame.event.get():
... | true |
44634bff7f5bb1de1f338f672a306daca612c2d3 | ohmema/interview | /python/language/collections/decorator.py | UTF-8 | 930 | 3.140625 | 3 | [
"Apache-2.0"
] | permissive | # with open("p.py", mode= "rt", encoding="utf-8") as f :
# for line in f.readlines():
# print(line, end="")
s= """
a
b
c
d
"""
def validator(f):
def wrap(*args, **kwargs):
assert args[1] > 0
assert len(args[0]) > 0
return f(*args, **kwargs)
return wrap
def f... | true |
c22d2667a617121cfdd34491ebfb83bb55473888 | zhgmyron/python_ask | /9.2.py | UTF-8 | 1,119 | 3.375 | 3 | [] | no_license | # -*- coding: UTF-8 -*-
class User():
def __init__(self,first_name,last_name):
self.first_name = first_name
self.last_name = last_name
self.login_attempts=0
def describe_user(self):
message= "name is "+ self.first_name + " " + self.last_name
return message
def greet... | true |
5587878128e1fde2f746d08665e8a3f50f419164 | wj1224/algorithm_solve | /programmers/python/programmers_72412.py | UTF-8 | 1,119 | 3.296875 | 3 | [] | no_license | from collections import defaultdict
def bin_search(arr, target):
left, right = 0, len(arr) - 1
while left < right:
mid = (left + right) // 2
if arr[mid] >= target:
right = mid
else:
left = mid + 1
return len(arr) - right
def solution(info, query):
answ... | true |
a10562d3b9ec1de3e7f13dbb7fc5d66da33003d4 | louzhao8712/leet | /concept_implementation/Binary_Search.py | UTF-8 | 1,445 | 4 | 4 | [] | no_license | #!/usr/bin/env python
a = [1,3 ,4 ,5 ,7 ,8 , 10 , 12]
def binary_search_1(a, target):
N = len(a)
l = 0
r = N - 1
while l + 1 < r:
mid = (l + r) / 2
if a[mid] == target:
return mid
elif a[mid] < target:
l = mid
else:
r = mid
print ... | true |
cd121510830c39fea3253d11a759677a0e535f3c | Rithvik070/Questionpaperanalysis | /Code/csv_read.py | UTF-8 | 807 | 2.859375 | 3 | [] | no_license | import csv
import re
no_of_items={}
dataset={}
feature_set={}
fh=open("predictiondata.csv","r")
count=0
for row in fh:
if count==0:
count+=1
continue
else:
a=row
a=re.split('[^a-zA-Z0-9\']',row)
a.pop()
print(a)
print(a[6])
no_of_i... | true |
ddcf8fd119a32838ed37d98fc570b45483f04d58 | orion20041987/exercism | /collatz-conjecture/collatz_conjecture.py | UTF-8 | 559 | 3.859375 | 4 | [] | no_license | def steps(number):
if number <= 0:
raise ValueError('number must be greater than zero')
step_counter = 0
while number != 1:
if number % 2 == 0:
number = if_even(number, step_counter)
step_counter += 1
elif number % 2 == 1:
number = if_odd(number, s... | true |
9cfe95665cbde180ee0ffefebd1c8b06bf130dee | Ragul-SV/Data-Structures-and-Algorithms | /BST/Delete nodes greater than or equal to k.py | UTF-8 | 268 | 3.140625 | 3 | [] | no_license | def deleteNode(root, x):
# Code here
if not root:
return
if root.data==x:
return root.left
elif root.data<x:
root.right = deleteNode(root.right,x)
return root
elif root.data>x:
return deleteNode(root.left,x)
| true |
3b323ccf90be8bc02bbf6100d744cbfdff8c7f14 | Pranav-Srikumar/sample | /leapyr.py | UTF-8 | 126 | 3.203125 | 3 | [] | no_license | yr=int(input())
if((yr%4==0) and (yr%100!=0)) or (yr%400==0):
print("Its a leap year")
else:
print("not a leap year")
| true |
b595e31e04927a699a8cb96b7c38b4feb52f2b91 | guptapankaj831/first | /PythonProgram/dict_example/Convert Key-Value list Dictionary to Lists of List.py | UTF-8 | 514 | 4.59375 | 5 | [] | no_license | # Convert Key-Value list Dictionary to Lists of List
# Input -> {'gfg' : [1, 3, 4], 'is' : [7, 6], 'best' : [4, 5]}
# Output -> [[‘gfg’, 1, 3, 4], [‘is’, 7, 6], [‘best’, 4, 5]]
# Method #1 : Using loop + items()
test_dict = {'gfg': [1, 3, 4], 'is': [7, 6], 'best': [4, 5]}
final_dict = []
for key, val in test_dict.... | true |
84d9c007728ce316268e13689a3f9ba19486a732 | nate-io/python-spark | /scripts/word-count.py | UTF-8 | 691 | 3.109375 | 3 | [] | no_license | from pyspark import SparkConf, SparkContext
from config import DATA_DIR
conf = SparkConf().setMaster("local").setAppName("WordCount")
sc = SparkContext(conf = conf)
input = sc.textFile(f"{DATA_DIR}/book.txt")
# using flatMap here because of the book file structure
# it is essentially a list of lists where each sublis... | true |
97781f33a68bfa690bbc43591df81369ba73f86e | Hugo-Fuente/LearningHTML | /iterar_2_listas_pythonic.py | UTF-8 | 194 | 2.96875 | 3 | [] | no_license | lista = ['Moto', 'Carro', 'Casa']
lista2 = ['Bola', 'Carrinho', 'Peteca']
lista3 = ['Bola', 'Carrinho', 'Peteca']
for auto, brinq, x in zip(lista, lista2, lista3):
print(auto, brinq, x) | true |
040bfc73e458e6cb2aa7de8fb9489d4cedf0ca6b | duerwen/ML | /线性回归/标准方程法-线性回归.py | UTF-8 | 727 | 3.21875 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
data = np.genfromtxt("data.csv",delimiter=",")
x_data = data[:,0,np.newaxis]
y_data = data[:,1,np.newaxis]
# 给x_data增加一列偏置值1,axis=1表示在列的方向进行合并
X_data = np.concatenate((np.ones((100,1)),x_data),axis=1)
# 标准方程法求解权值矩阵
def weights(x_data,y_data) :
xMatrix = np.mat(x_d... | true |
dfa7d1690895f3f154aac7246a62dba0df220d45 | joehiggins/cme307 | /HW3/Q9.py | UTF-8 | 1,859 | 2.953125 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 21 20:43:46 2018
@author: YinYu Ye
Is a cone
"""
import numpy as np
import random as rand
e = np.exp(1)
anchors = np.matrix([
[1, 0],
[-1, 0],
[0, 2]
])
sensors = np.matrix([
[-0.5, 0.5],
[ 0.5, 0.5]
])
#define gradient funct... | true |
de7649a73a2d093b174e90991511830381986ae2 | sullylei/python | /xiaojiayu_rumen/01function.py | UTF-8 | 376 | 3.859375 | 4 | [] | no_license | def discounts(price,rate):
final_price = price * rate
old_price = 50
print('修改后的old_price的值是:',old_price)
return final_price
old_price = float(input('请输入原件：'))
rate = float(input('请输入折扣率：'))
new_price = discounts(old_price,rate)
print('修改后的old_price的值是:',old_price)
print('打折后价格是:',new_price)
| true |
79aef332dda95e169ec36c30a7e5e38b4bf3a828 | SubjectNoi/Futures-Spread-Optiver | /src/stage1-Correlation/corr_cov_example.py | UTF-8 | 3,473 | 2.921875 | 3 | [] | no_license | # zpf
import pandas as pd
import numpy as np
from pandas import Series, DataFrame
# from pandas_datareader import data
import re
import os
data_path = "../../data/dce/2014/"
futures_data = {}
def file_reader(file_dir, year):
for root, dirs, files in os.walk(file_dir):
for file_name in files:
... | true |
9c837c7700b65433ba54d5a68336d12310455463 | TangLeeee/flask_demo | /hello.py | UTF-8 | 4,893 | 2.84375 | 3 | [] | no_license | from flask import Flask, render_template, request, flash
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField
from wtforms.validators import DataRequired, EqualTo
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.secret_key = 'tangle'
# 因为编码问题这里将mysql改为mysql+mysql... | true |
400b1908e9d1a7d6c480a90fe9653a549d1f8224 | chenboshuo/learn_algorithm | /introduction/union_find.py | UTF-8 | 2,386 | 3.3125 | 3 | [] | no_license | import unittest
import logging
from typing import *
logging.root.setLevel(level=logging.INFO)
class UnionFind():
def __init__(self, n: int, text: str):
""" Initialize nodes with integer names(0-n-1)
@param n the number of nodes
@param text the user input
"""
self.id = l... | true |
fdbfd7c1bde9521833b4299ad8ae7cc10e4f6e2f | moon0331/baekjoon_solution | /programmers/고득점 Kit/단속카메라.py | UTF-8 | 357 | 3.0625 | 3 | [] | no_license | def solution(routes):
routes.sort(key=lambda x:x[0])
print(routes)
answer = 0
x, y = routes[0]
for next_x, next_y in routes[1:]:
if y < next_x:
print(x, y, '<', next_x, next_y)
answer += 1
x, y = next_x, next_y
return answer
print(solution([[-20,15],... | true |
77131c9637d92473cc2258cd5d0c5624d3e005c6 | gustavo32/DataEngineeringBootcamp | /MODULE1/Activities/AIRFLOW/example_dag.py | UTF-8 | 955 | 2.765625 | 3 | [] | no_license | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime, timedelta
default_args = {
'owner': 'Luis Gustavo de Souza',
'depends_on_past': False,
'start_date': datetime(2020, 11, 28),
'emai... | true |
96552eda8a3ec2de60b37cda73cd8159788b1211 | wahello/dbas | /tests/test_frontend/test_LanguageSwitch.py | UTF-8 | 3,573 | 2.921875 | 3 | [
"MIT"
] | permissive | """
This tests need a short timeout at the beginning to make sure everything has loaded correctly.
Please visit __init__.py for more details about the parameters.
There may be some problems with the pipeline if it runs the tests.
This may have the cases.
1: PhantomJs has SSL certificate errors -> add service_args
... | true |
c6877d5e248c94540ceb8f754379cb9673289d14 | shivampip/socket-angular | /client.py | UTF-8 | 619 | 2.78125 | 3 | [] | no_license | import socketio
sio = socketio.Client()
@sio.on("connect")
def connect():
print("I'm Connected")
sio.emit("session_request", {"session_id": "shivampip"})
@sio.on("disconnect")
def disconnect():
print("I'm Disconnected")
@sio.on("session_confirm")
def session_confirmed(data):
print("Session is con... | true |
14e30fa460a1f2af5cb480b0d1d5cd13954b69ef | leslie-mayte/CodigoPython | /CodigoDePractica/CodigoPython/list.py | UTF-8 | 374 | 4.5625 | 5 | [] | no_license | #List is a collention which is ordered and changable.Allows duplicate
#Create a list, 1st way to do it
numbers = [1,2,3,4,5]
fruits = ["apple","orange","grapes","pears"]
#Create a list, use a constructor
numbers2 = list((1,2,3,4,5))
print(numbers,fruits)
#Get a value of a list
print(fruits[0])
#Get length
print(len(... | true |
d96415d6f4d1616a51c604fa0c92873e8b6bbe3e | judacribz/python_repo | /csci_3070u/ass/A2/part4.py | UTF-8 | 4,671 | 3.640625 | 4 | [] | no_license | from util import *
# =============================================================================
# Constants
# =============================================================================
FILE = "file.txt"
# =============================================================================
# Node Class
# ============... | true |
710abcd9b87c7fe3b447bf07c9129d79a3e2611b | annali770/Inkfinity | /InkfinityApp.py | UTF-8 | 17,726 | 2.671875 | 3 | [] | no_license | from tkinter import *
from tkinter.colorchooser import askcolor
from tkinter import filedialog
import copy
from PIL import ImageTk, Image, ImageOps
import requests
from io import BytesIO
def __init__(app, root, canvas):
app.board = Board(app)
app.brush = Brush(app)
app.activeButton = None
app.blendingT... | true |
457e999b83907150a70ad0853f4ccbb907650599 | rvalusa2108/PySparkExercises | /sparkSQL.py | UTF-8 | 1,704 | 3.171875 | 3 | [
"Apache-2.0"
] | permissive | from pyspark.sql import SparkSession
from pyspark.sql import Row
from pyspark.sql.types import StructType, StructField, StringType, IntegerType
from pyspark.sql.types import ArrayType, DoubleType, BooleanType
from pyspark.sql.functions import col, array_contains
from pyspark.sql.functions import count, sum, avg, max
#... | true |
12f52ae0f87fa1a543b7a7aa91cc91c626dd09df | srodriguez1850/friendtrend | /preprocess_data.py | UTF-8 | 11,955 | 2.53125 | 3 | [
"MIT"
] | permissive | import json, pprint, os, itertools, datetime, argparse
def main(data_path, username, write_to_file):
pp = pprint.PrettyPrinter(indent = 4)
all_json_data = []
all_json_files = list(
map(
lambda x: os.path.join(data_path, x, "message.json"),
os.listdir(data_path)
)
... | true |
93c9ab54946237123a3b380f520517bad748a83f | molecularsets/moses | /scripts/prepare_dataset.py | UTF-8 | 3,609 | 2.65625 | 3 | [
"MIT"
] | permissive | import argparse
import gzip
import logging
from functools import partial
from multiprocessing import Pool
import pandas as pd
from tqdm.auto import tqdm
from rdkit import Chem
from moses.metrics import mol_passes_filters, compute_scaffold
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("prepare da... | true |
fc83c7f7fdf5782e84099802aeac7ec96e632864 | annmcnamara/sqlalchemy-challenge | /app.py | UTF-8 | 8,060 | 2.703125 | 3 | [] | no_license | import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, desc
# Need _and and _or for queries
from sqlalchemy import and_
from sqlalchemy import or_
from flask import Flask, jsonify
import datetime as dt
from d... | true |
737818347da9eb138d3800be1f3bf80ba6271e4e | barcher1968/lpthw | /circle.py | UTF-8 | 198 | 3.78125 | 4 | [] | no_license | import math
class Circle:
def __init__(self, r):
self.radius = r
def area (self):
return self.radius ** 2 * math.pi
circle = Circle (5)
print (circle.area()) | true |
1e4e669bf3848ba7b229cdabab69d9cbbc04de5a | nlpaueb/SumQE | /src/LM_experiments/BERT_GPT2.py | UTF-8 | 11,778 | 2.640625 | 3 | [
"MIT"
] | permissive | import csv
import json
import os
import math
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import pearsonr, spearmanr, kendalltau
import torch
from pytorch_pretrained_bert import GPT2Tokenizer, GPT2LMHeadModel
from pytorch_pretrained_bert import BertTokenizer, BertForMaskedLM
from configuration ... | true |
4a11046d4571eee72f1642279419f644255675d4 | sybila/eBCSgen | /eBCSgen/Errors/UnspecifiedParsingError.py | UTF-8 | 305 | 3.125 | 3 | [
"MIT"
] | permissive | class UnspecifiedParsingError(Exception):
def __init__(self, message):
self.message = message
def __str__(self):
return 'Unspecified error while parsing the model:\n\n {} \n\n'\
'Please check the model for any ambiguous expressions and typos.'.format(self.message)
| true |
4048d3d0b1b25d0e472d3e546ddef47dcfb79e97 | raflyhmk/EncKey | /enckey.py | UTF-8 | 1,136 | 2.625 | 3 | [] | no_license | from tkinter import *
from fungsi_enkripsi import enkrip, halaman_enkripsi
from fungsi_dekripsi import dekrip, halaman_dekripsi
from halaman_panduan import halaman_panduan
from halaman_visualisasi import halaman_visualisasi, visualisasikan
mainframe = Tk()
mainframe.title('EncKey')
mainframe.geometry("400x300")
tool... | true |
6169b13a0f82d8d069798e48d59a956d481a6e37 | scdev0/euler | /src/p25.py | UTF-8 | 304 | 3.265625 | 3 | [] | no_license | import fib
def thousand_digit_fib():
'''Return the index of the first thousand digit fibonacci number'''
n = 4500
while True:
num = fib.fib_dy(n)
if len(str(num)) == 1000:
return n
n += 1
if __name__ == '__main__':
print(thousand_digit_fib()) | true |
96a1ca939c04b1cd4067640e38249d0945a50275 | screamff/Hello-Python | /pygame-test/pygame_02_rect_intro.py | UTF-8 | 288 | 3.421875 | 3 | [] | no_license | # coding:utf-8
import pygame
# 无需pygame.init()也可直接使用
hero_rect = pygame.Rect(100, 500, 120, 125)
print "英雄的原点 %d %d" % (hero_rect.x, hero_rect.y)
print "英雄的尺寸 %d %d" % (hero_rect.width, hero_rect.height)
print "size:%d %d" % hero_rect.size # 元组
| true |
6529f768cbfe709fffa3c7981394350e84ce63ee | macson777/test_repo | /src/task_10_3.py | UTF-8 | 881 | 3.546875 | 4 | [] | no_license | # Имеется текстовый файл.
# Все четные строки этого файла записать во второй файл,
# а нечетные — в третий файл.
# Порядок следования строк сохраняется.[03-15.29]
def line_func():
my_file_1 = open('task_10_3_1.txt')
my_file_2 = open('task_10_3_2.txt', 'w')
my_file_3 = open('task_10_3_3.txt', 'w')... | true |
7263931b56a21decf31db4c9567c5c9238b76771 | AlleniCode/Zesame | /Carthage/Checkouts/EllipticCurveKit/schnorr.py | UTF-8 | 7,721 | 2.578125 | 3 | [
"Apache-2.0",
"MIT"
] | permissive | import hashlib
import binascii
p = 0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEFFFFFC2F
n = 0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364141
G = (0x79BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798, 0x483ADA7726A3C4655DA4FBFC0E1108A8FD17B448A68554199C47D08FFB10D4B8)
def ... | true |
4710c68a8db904c81a16dc4c00e382f3df8442f2 | testdemo11/test2_pratice | /hogwarts_demo/test_类.py | UTF-8 | 2,081 | 4.5625 | 5 | [] | no_license | # -*- coding:utf-8 -*-
__author__ = 'Tnew'
"""
def 作为函数，放在类的外面；
def 作为方法，放在类的里面；
面向对象
类变量：在类里面声明的变量，不在方法之中，访问是通过手动调用
实例变量：self.变量名的方式访问,实例变量的作用域是整个类中的所有方法
普通变量：在类方法之中，没有self开头，作用域是本方法之中
构造方法：
给创建的对象建立标识符
为对象数据成员开辟内存空间
完成对象数据的初始化
self:
代表类的实例
"""
class Person:
#类变量
name = "default"
age = 0
gender = '... | true |
16766c2bbd560ba2dbb2a2d8089e36815e4d8718 | JosephLevinthal/Research-projects | /5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/223/users/4181/codes/1595_1014.py | UTF-8 | 73 | 3.078125 | 3 | [] | no_license | total=float(input("qual total de vendas?"))
print(round(total/100*30, 2)) | true |
e51c6e549b5b9077455b206212a20238f6cb3fbd | trnielsen/nexus-constructor | /nexus_constructor/kafka/kafka_interface.py | UTF-8 | 851 | 2.6875 | 3 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | from abc import ABC, abstractmethod
from copy import copy
import asyncio
import threading
class KafkaInterface(ABC):
def __init__(self):
self._loop = asyncio.get_event_loop()
self._cancelled = False
self._poll_thread = threading.Thread(target=self._poll_loop)
self._is_connected = F... | true |
2d7f367b4c4b578e2e1de96463979363baadadf2 | Li-Erica/Insight-Challenge | /src/Hash_Tag_Graph.py | UTF-8 | 4,153 | 3.09375 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | import numpy as np
from igraph import Graph, plot
from itertools import combinations
import matplotlib
matplotlib.use('SVG')
import sys
reload(sys) # Reload does the trick!
sys.setdefaultencoding('UTF8')
__author__ = 'Erica-Li'
class hash_tag_graph:
"""
hash tag graph class
"""
def __init__(self,... | true |
552fe42ed5df2d62833b73d962ed2c23fc7cf572 | wanglei742/Programming-for-the-Puzzled----Srini-Devadas | /Puzzle 7/puzzle7_2D_Binary_search.py | UTF-8 | 2,906 | 3.765625 | 4 | [] | no_license | # Programming for the Puzzled -- Srini Devadas
# Ex_1_2
# 2D Binary Search
# (2*n) X (2*n)
# By Caliber_X
# quadrant : 00 (upper left), 01 (upper right),
# 10 (lower left), 11 (lower right)
quadrant = [(0, 0), (0, 1), (1, 0), (1, 1)]
# Quadrant Approach
def ex_1(lst, search_input):
size = len(lst[0])
... | true |
c88e390afcf1b4c88a7984ae9e17dbe5379fbf76 | chlsgong/ethical-hacking-project | /victim/project.py | UTF-8 | 1,205 | 2.90625 | 3 | [] | no_license | import sys
def is_user(s):
lower = s.lower()
if 'user' in lower:
return True
elif 'u' == lower:
return True
elif 'email' in lower:
return True
else:
return False
def is_pass(s):
lower = s.lower()
if 'pass' in lower:
return True
elif 'p' == lower:
return True
else:
return False
def parse_cr... | true |
f36954e982e17dc48b4e2051100c958d11154b31 | tsingroc/1st-city-cognitive-intelligence-challenge | /第1名/code/data-process.py | UTF-8 | 1,272 | 2.984375 | 3 | [] | no_license | # python version:3.6.9
#
# test env: ubuntu 18.04
#
# TODO:
from json.decoder import JSONDecodeError
import json
import time
mapPath = "../data/map.json"
if __name__ == "__main__":
print("start!")
start = time.clock()
with open(mapPath,'r') as f:
mapData = json.load(f)
f.close()
lane... | true |
4ef21b59f4814d15f0facbfc7cd9cc597cc82f9a | Natthapol-PEET/Line-Message-API | /app.py | UTF-8 | 1,644 | 2.578125 | 3 | [] | no_license | from flask import Flask, request
import json
import requests
from firebase import firebase
# Setup Url
Authorization = 'Bearer tVdIAfmI+eV3LfM7LE7RTAQfP6PIcCM/o5/NdkCMV8yUbhcDMnEEX9bGWn8MPbiN8/2gRTAyTemSHxC9YNJYWtaFTliAoVO5vIsxPlnax7FKEpriB8zglavc+0OPPT2AhzLikWe1m7McQxwYoZPUtFGUYhWQfeY8sLGRXgo3xvw='
database_url = 'ht... | true |
f422478f927e5cc4431aed85adcaa065ad0f8921 | dhruvbatta/TwitterSentimentAnalysisOfAVDataHack | /try1.py | UTF-8 | 3,044 | 2.671875 | 3 | [] | no_license | import pandas as pd
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk import word_tokenize
import re
from sklearn.svm import LinearSVC
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn.linear_model import SGDClassifier
from sklearn.model_selectio... | true |
4866b959f32794503da42bac0a97820c8d7f93eb | goldenratio1618/gameoflife | /r_pentomino.py | UTF-8 | 368 | 3.75 | 4 | [] | no_license | # Makes a grid in the shape of an R-pentomino. Not yet functional.
#grid = []
"""
for a in range(size):
row = []
for b in range(size):
row.append(0)
grid.append(row)
# Makes an R-pentomino
grid[size//2 - 1][size//2] = 1
grid[size//2 - 1][size//2 + 1] = 1
grid[size//2][size//2 - 1] = 1
grid[size//2... | true |
bc64ae503e70ac65f58fbaeb7c0226543ad8c399 | s-tajima/learn-deep-learning-from-scratch | /section3/3.3.2.py | UTF-8 | 344 | 3.125 | 3 | [] | no_license | import numpy as np
A = np.array([[1, 2, 3], [4, 5, 6]])
print(A.shape)
B = np.array([[1, 2], [3, 4], [5, 6]])
print(B.shape)
print(np.dot(A, B))
C = np.array([[1, 2], [3, 4]])
print(C.shape)
print(A.shape)
#print(np.dot(A, C))
D = np.array([[1, 2], [3, 4], [5, 6]])
print(D.shape)
E = np.array([7, 8])
print(E.shap... | true |
4f8ae108dddf038eaedc679d6f159ba224931cd8 | chawlamit/mine_sweeper | /agents/base_agent.py | UTF-8 | 3,599 | 3.09375 | 3 | [] | no_license | from environment import Environment
import random
from abc import ABC, abstractmethod
from minesweepermatplot import MineSweeper
import matplotlib.pyplot as plt
from utils import SETTINGS
class BaseAgent(ABC):
FLAG = -2
def __init__(self, env: Environment, debug=False, visualize=False):
self.env = en... | true |
c55c911e28e5c8fdfb7a9af49a69469da10bcd08 | kiminh/HCL | /graph/cortex_DIM/nn_modules/resnet.py | UTF-8 | 9,013 | 2.609375 | 3 | [
"MIT"
] | permissive | '''Module for making resnet encoders.
'''
import torch
import torch.nn as nn
from cortex_DIM.nn_modules.convnet import Convnet
from cortex_DIM.nn_modules.misc import Fold, Unfold, View
_nonlin_idx = 6
class ResBlock(Convnet):
'''Residual block for ResNet
'''
def create_layers(self, shape, conv_args... | true |
b8f270a138698d58fe682d190e14a7910f2afd17 | shahriyar-khan/scrapr-cli | /scrapr_cli/app.py | UTF-8 | 1,529 | 3 | 3 | [] | no_license | from urllib.request import urlopen, Request
import re
import click
@click.command(help=f"{'[Scrapr v0.0.1]':<68}{'Author: @xSplayd':<68}"
f"{'--------------------------------------------------------------------------':<80}"
f"{'This cli tool will automatically scrape email addr... | true |
50691ed4c2e457105a81630c49f7881983031bc6 | Zhenyaair/Praktika-Python | /Taks02/Calculator Full.py | UTF-8 | 5,264 | 3.765625 | 4 | [] | no_license | import tkinter as tk
import math
class Calculator(tk.Frame):
#Створення вікна
def __init__(self, master = None):
tk.Frame.__init__(self, master)
self.master.geometry()
self.master.title('Calculator')
self.entry = tk.Entry(self.master, justify='right')
self.creat_... | true |
4d806a63b74a40e4c2dad66cb6a5d22e908a10ac | HippoCP/module | /src/permissions.py | UTF-8 | 1,447 | 2.828125 | 3 | [] | no_license | import postgresql
from hippocp import database
class Permissions:
"""Class to manage permissions."""
def __init__(self):
"""Initialize the Permissions class"""
self.db = postgresql.open(database.getPgUrl())
def exists(self, permissionid):
"""Check if the permission exists"""
... | true |
235f7d5a4baa88cde7ede6e6b18862cd3e53aad9 | wuyx517/SORT-Multiple-Car-Tracking-using-YOLOv5 | /utils/datasets_final.py | UTF-8 | 3,972 | 2.53125 | 3 | [] | no_license | import glob
import math
import os
import random
import shutil
import time
from pathlib import Path
from threading import Thread
import cv2
import numpy as np
import torch
from PIL import Image
from torch.utils.data import Dataset
from tqdm import tqdm
img_formats = ['.bmp', '.jpg', '.jpeg', '.png', '.tif', '.tiff', ... | true |
de408e1608e85d720b0e201c0cff3c828b6dec1d | fermiPy/fermipy | /fermipy/diffuse/catalog_src_manager.py | UTF-8 | 10,573 | 2.703125 | 3 | [
"BSD-3-Clause"
] | permissive | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Classes and utilities that manage catalog sources
"""
from __future__ import absolute_import, division, print_function
import os
import yaml
import numpy as np
from fermipy.diffuse.name_policy import NameFactory
from fermipy.diffuse.source_factory i... | true |
733c0fece5a2b92b703f63099db7223ca577e67c | balapitchuka/python-utilities | /keyboard/keypress-read.py | UTF-8 | 441 | 2.84375 | 3 | [] | no_license | # keyboard management:
# * input: getch
# * output: click
# windows: msvcrt
import getch
def waiting_for_key()->[]:
"""
blocking read from keyboard
get char from keyboard
get keytype
"""
read_symbol_ord = ord(getch.getch())
if read_symbol_ord == 27:
return [read_symbol_ord, ord(ge... | true |
08e1f4a36a1b5884f470d8364f110c72dc0b2c28 | brennash/RaspberryPiBrewBot | /src/PinOutputTest.py | UTF-8 | 1,281 | 2.765625 | 3 | [
"MIT"
] | permissive | import os
import sys
import time
import board
import busio
import random
from gpiozero import LED
import adafruit_character_lcd.character_lcd_rgb_i2c as character_lcd
from optparse import OptionParser
class PinOutputTest:
def __init__(self, verboseFlag):
self.verbose = verboseFlag
self.sleepTime = 3
lcd... | true |
1ea7c2ba44baec6f40e6bb525544a56c7e8dc1bb | ToshikiShimizu/AOJ | /DSL/3c.py | UTF-8 | 421 | 3.21875 | 3 | [
"MIT"
] | permissive | N, Q = map(int, input().split())
A = list(map(int, input().split()))
X = list(map(int, input().split()))
def two_pointers(x):
left = 0
sm = 0
ans = 0
for right in range(N):
sm += A[right]
while(sm > x):
sm -= A[left]
left += 1
ans += (right-left+1) # left... | true |
a0a6861e8d54526d63c1ed3b7a0e920365001e08 | FChen12/paper | /EmbeddingCreator.py | UTF-8 | 4,492 | 2.84375 | 3 | [] | no_license | import abc, logging, os
from pathlib import Path
from Embedding import Embedding, MockEmbedding
from Preprocessing.Preprocessor import Preprocessor
from Preprocessing.FileRepresentation import FileRepresentation
import FileUtil
log = logging.getLogger(__name__)
WRITE_PREPROCESSED_TOKEN = True # Writes the preprocesse... | true |
03cebbe39d4b026d224a34f6cfd95f8164ecf7e1 | gamertense/indexParallel | /python_script/punTestParallel.py | UTF-8 | 799 | 2.609375 | 3 | [] | no_license | import multiprocessing as mp
import timeit
import functools
import math
def func(x):
return functools.reduce(lambda a, b: math.log(a+b), range(10**5), x)
def multiprocess(number_processes):
pool = mp.Pool(processes=number_processes)
result = [pool.apply_async(func, args=(x,)) for x in range(1, 100)]
... | true |
669e78d987f96d1a298f4a2494bb3845a19dd2c8 | petholaszlo/elte-ik-szh | /gy/szh_hf_hcs/TP75FW_CRC/udp_server.py | UTF-8 | 1,539 | 2.796875 | 3 | [] | no_license | import socket
from time import sleep
from logger import Logger
from haziCRCCalculator import HaziCRCCalculator
class UdpServer(Logger):
""" An UDP server"""
crcCalc = HaziCRCCalculator()
def __init__(self, host = 'localhost', port = 10000, name = "UDP server", debug = False):
Logger.__init__(self... | true |
c6a7c6f1e0588cc5f45a539495e6b05509b15810 | shourya1997/vcfconvertor | /vcfconvert.py | UTF-8 | 1,147 | 2.53125 | 3 | [] | no_license | from datetime import datetime
def convert_to_vcard(input_file, input_file_format):
FN = input_file_format['name']-1 if 'name' in input_file_format else None
TEL = input_file_format['tel']-1 if 'tel' in input_file_format else None
vcf_filename = 'vcard/contacts_' + str(datetime.now().strftime('%Y-... | true |
85812ec593ff6fbc73c95667ac65a9d5c29e8909 | fbgkdn2484/python | /0528/starShape.py | UTF-8 | 214 | 2.921875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri May 28 14:18:32 2021
@author: Mac_1
"""
import turtle as t
i = 0
while i < 5:
t.forward(200)
t.left(144)
i = i + 1
t.done()
t.bye()
| true |
85f5fb011f72a9341daa897041ba81dc2233ac3c | pwinning1991/algoexpert | /branchSums/test_branchSums.py | UTF-8 | 424 | 3.15625 | 3 | [] | no_license | import unittest
from branchSums import branchSums, BinaryTree
class TestBranchSums(unittest.TestCase):
def test1(self):
tree = BinaryTree(1)
self.assertEqual(branchSums(tree), [1])
def test2(self):
tree = BinaryTree(0)
tree.left = BinaryTree(1)
tree.left.left = BinaryTr... | true |
20f5adf2ac8a4f71e5e8d0588128bd182e17defe | amarazad/DSRNet | /extract_conversation.py | UTF-8 | 13,240 | 2.859375 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
def get_key(my_dict, val, doc_id):
for key, value in my_dict.items():
if val in value and key.split('__')[0] == doc_id:
return key
print(my_dict, val, doc_id)
return "key doesn't exist"
tmp = []
with open('resources/bad_words.t... | true |
a657c7b764fb5f6e072ce20282d55a89a6d5dd09 | amitnir29/Traffical | /gui/simulation_graphics/drawables/car.py | UTF-8 | 1,352 | 2.90625 | 3 | [] | no_license | from __future__ import annotations
from copy import deepcopy
from dataclasses import dataclass
from typing import List
import pygame
from gui.simulation_graphics.camera import Camera
from gui.simulation_graphics.drawables.drawable import Drawable
from server.simulation_objects.cars.i_car import ICar
from server.geom... | true |
f715be6e9426287c9a3be2917a10a62721e94181 | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_206/900.py | UTF-8 | 409 | 3.421875 | 3 | [] | no_license | t = int(raw_input())
for i in range(0,t):
d,n = raw_input().split()
d = float(d)
n = float(n)
times = [ ]
for j in range(0,int(n)):
dat = raw_input().split()
dat[0] = float(dat[0])
dat[1] = float(dat[1])
t = (d-dat[0])/dat[1]
times.append(t)
t... | true |
97a4406a6db7c0b33a8ca528837c8c7a6ed717b8 | JorgeStolfi/Projeto-MC857-2019 | /compra.py | UTF-8 | 9,784 | 3.25 | 3 | [] | no_license | # Este módulo define a classe de objetos {ObjCompra}, que
# representa um pedido de compra (em particular, um carrinho de
# compras).
#
# Nas funções abaixo, o parâmetro {prod} é um objeto
# da classe {ObjProduto}, e {qtd} e um {float} que especifica uma
# quantidade desse produto.
# Implementaçao deste módulo:
impor... | true |
daa35ae78121b0025f91ad4e1672f095717f6320 | SaurabhPimpalgaokar/assignments | /Exercise_seventh/newserver.py | UTF-8 | 2,641 | 3.0625 | 3 | [] | no_license | import socket
import sys
from _thread import *
import argparse
thread_number = 0
global output
#first create a server socket
#AF_INET is type and sock_Stream is for tcp mode
server_socket = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
parser = argparse.ArgumentParser()
parser.add_argument("-ip",help="Enter IP addr... | true |
c2ccb6ff5d463ebc43f45568afa4cb8b4e35513c | orenavram/GenomeRearrangements | /genome_numeric_representation.py | UTF-8 | 7,750 | 2.65625 | 3 | [] | no_license | import logging
import datetime
import sys
import os
def get_genes_info_dicts(fasta_path, delimiter=' # ', gene_index=0, orientation_index = 3):
"""
:param fasta_path: a path to a FASTA file.
If the file is no in PRODIGAL's output format, default params should be set accordingly.
:return: two di... | true |
37645569c3083d7d1701138d1e7b5955a6d79e0b | hasinthaK/sentiment_analysis | /alternate/nltk-intensity-analyzer.py | UTF-8 | 1,400 | 2.90625 | 3 | [] | no_license | import string
from collections import Counter
# excel file utils
import xlrd
from xlutils.copy import copy
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.sentiment.vader import SentimentIntensityAnalyzer
xl_file = xlrd.open_workbook('ml.xlsx')
# xl_file_copy = copy(xl_file)
sheet ... | true |
241d81f9daed60e2acd2f3b3faf1dbf2f7a2931d | jardelcarvalho/ufsj_computacao-paralela_tp1 | /util/comp_arq.py | UTF-8 | 624 | 3.171875 | 3 | [] | no_license | import sys
# compara matrizes através da igualdade dos arquivos
mat_n = mat_m = ''
with open(sys.argv[1], 'r') as m:
_str = m.read()
for c in _str:
if c == '\n':
mat_m += ' '
else:
mat_m += c
with open(sys.argv[2], 'r') as n:
_str = n.read()
for c in _str:
... | true |
5e9c24e49cd74e55cb476f5994ad1060991a13ba | Q-Qing/AndroidStepsExploration | /label_exploration/lable_a.py | UTF-8 | 8,964 | 2.96875 | 3 | [] | no_license | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from collections import Counter
from itertools import product
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 10000)
"""
df = pd.read_csv("/Users/Q-Q/data set/step dataset/detailed_steps/902162251.csv")
df['date'] = pd.to_... | true |
71dd3c51b0c0d0bb25596241c9f91013b7309d05 | cauegonzalez/cursoPython | /desafio002.py | UTF-8 | 345 | 4.03125 | 4 | [] | no_license | # Crie um programa que receba o dia, o mês e o ano de nascimento e apresente esta informação na tela
print('====Desafio 02 - Aula 04====')
dia = input('Dia de nascimento: ')
mes = input('Mês de nascimento: ')
ano = input('Ano de nascimento: ')
print('---------------------------')
print('Você nasceu em',dia,'de',mes,'de... | true |