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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
e3a049946807aa9e85077660df141dc38d9fa431 | Python | jcmayoral/SEE-Project | /code/parameter_optimization.py | UTF-8 | 3,023 | 2.984375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 5 11:23:37 2016
@author: jose
"""
import numpy as np
from scipy.optimize import minimize
def dF1(alphas, v, omega, v_hat, omega_hat, gamma_hat):
k = (alphas[0] * v**2 + alphas[1] * omega**2)
if k < 1e-100:
k = 1e-100
d = -0.5 * (v**2 / k - ((v - v_h... | true |
8debb0a6a56ac596b24b638bb7df78191441c200 | Python | YuJuncen/auto_sign | /src/SignClient.py | UTF-8 | 4,547 | 2.546875 | 3 | [] | no_license | from requests import post
from json import dumps, loads
from datetime import datetime as D
from sys import exc_info
from random import choice, random
from asyncio import sleep, run
from .Config import static_config as SConf
from .TokenFactory import AbstractTokenFactory
from .SignInfoServer import BaseSignInfoServer
f... | true |
dc2044eaaf53e4d71c1236278eaf9e7daf48b7f2 | Python | buddiman/alda2020 | /sheet07/cocktails/cocktail.py | UTF-8 | 3,720 | 3.609375 | 4 | [] | no_license | '''
Christopher Höllriegl, Marvin Schmitt
Blatt 7 Aufgabe 1
'''
import json
import re
ignore = {'wasser', 'eiswürfel'}
#Aufgabe a)
# Read the recipes file and store the json object
# Finally... forgot to set utf-8 flag
with open('cocktails.json', encoding='utf-8') as data:
recipes = json.load(data)
def normal... | true |
b6705614a45ec82b6afc5c2c8e65c579f796d689 | Python | zlouity/adventofcode2020 | /03/day3b.py | UTF-8 | 530 | 3.296875 | 3 | [] | no_license | with open("day3.txt") as f:
array = []
for line in f.readlines():
array.append(line.strip())
def tree_counter(_array):
counter = 0
x =_array[0]
y =_array[1]
while y < len(array):
if array[y][x] =="#":
counter+=1
x = x+_array[0]
x = x%len(array[y... | true |
1d92a5987221cc2c03d21017397c616ded4f5012 | Python | jehunseo/Algorithm | /Baekjoon/17256.py | UTF-8 | 125 | 2.953125 | 3 | [] | no_license | a,b,c = [int(i) for i in input().split(' ')]
d,e,f = [int(i) for i in input().split(' ')]
print(f'{d - c} {e // b} {f - a}')
| true |
e2fca4ac93a0fae10da3f40b86dee279fbaf43d0 | Python | DustyHatz/CS50projects | /pset6/hello.py | UTF-8 | 185 | 4.03125 | 4 | [] | no_license | # This program takes in a users name and says hello to that person!
from cs50 import get_int, get_float, get_string
name = get_string("What is your name?\n")
print("hello, " + name)
| true |
6dc2566580ad104129d96e9c9a3908537b91dfc8 | Python | daniel-reich/ubiquitous-fiesta | /Y2AzE8m4n6RmqiSZh_21.py | UTF-8 | 67 | 3.109375 | 3 | [] | no_license |
def reverse_list(num):
return [int(i) for i in str(num)][::-1]
| true |
a3243e966545b34a2327f7b603dbcc7413be7a3d | Python | qiudebo/13learn | /code/matplotlib/aqy/aqy_lines_bars3.py | UTF-8 | 1,499 | 2.859375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'qiudebo'
import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
plt.rcdefaults()
fig, ax = plt.subplots()
labels = (u"硕士以上", u"本科", u"大专", u"高中-中专", u"初中", u"小学")
x = (0.13, 0.22, 0.25, 0.18, 0.13, 0.10)
... | true |
67c79a08997fc1040e4f2144e6c6c0e01c80a727 | Python | Deepak-Vengatesan/Skillrack-Daily-Challenge-Sloution | /15-6-2021.py | UTF-8 | 601 | 3.21875 | 3 | [] | no_license | R,C = map(int,input().split())
matrix = [list(map(int,input().split())) for row in range(R)]
N= int(input())
for row in range(0,R):
for col in range(0,C):
if N-col-1>=0 and N+col < C:
print(matrix[row][N-col-1]+matrix[row][N+col],end=" ")
elif N-col-1 >= 0:
print(matrix[row]... | true |
365291e3b1f3a03ffd5062d6ee48fd51dbd234e7 | Python | WangXin93/tianchi-fashionai-challenge | /TRAIN/view_data.py | UTF-8 | 4,453 | 2.53125 | 3 | [] | no_license | import torch
from torchvision import datasets, models, transforms
from torch.utils.data import Dataset, DataLoader
import pandas as pd
import os
from PIL import Image
import matplotlib.pyplot as plt
import torchvision
import numpy as np
# import Augmentor
class FashionAttrsDataset(Dataset):
"""Fashion Attributes ... | true |
1b89b330bac9ecb13eddafb52899601f10ccd5e8 | Python | jhli973/Projects | /filehandling/ReadFileFromSubfolder.py | UTF-8 | 1,678 | 3.453125 | 3 | [] | no_license |
'''
Senario: Imagine we have houdreds of customer specific folders which hold package files.
Our mission is to check if two specific packages were created for each clients
This program is to find the specified files from any folder and return a
ordered dictionary of the foldername(ClientName):filename
'''
#Part one... | true |
744c093b1d6613503f03a4b4277c6803fc144ae9 | Python | jaysurn/Leetcode_dailies | /Add_Two_Num.py | UTF-8 | 3,020 | 4.53125 | 5 | [] | no_license | # Goal : Return the sum of 2 postive integers stored as reverse linked lists
# Given : 2 linked lists of ints stored in reverse ( ex. 123 stored as 3->2->1 in list )
# Assumption : Lists' int value does not begin with 0
class Node: # Class definition for creating a Linkedlist
def __init__( self , ... | true |
7876e99a9af36d7e57ba6fef6f8822595a3c48c2 | Python | me450722457/python_test | /test.py | UTF-8 | 345 | 3.09375 | 3 | [] | no_license | #!/usr/bin/env python3
account = 'admin'
password = '123456'
user_account = input(str('Please input your account\n'))
user_password = input(str('Please input your password\n'))
if user_account == account:
if user_password == password:
print('success')
else:
print('password error')
else:
pr... | true |
d3ca57ef154ba5e774a9d152c4a5fabedb3cd951 | Python | SamVyazemsky/otus | /PythonQA/Lesson16/perser_access_log.py | UTF-8 | 437 | 2.78125 | 3 | [] | no_license | import re
from collections import Counter
import json
def read_log(filename):
with open(filename) as f:
log = f.read()
ip_list = re.findall(r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}', log)
return ip_list
def count_ip(ip_list):
count = Counter(ip_list)
return count
if __name__ == '_... | true |
5aa7119e2387fe2d6d28a0ee62bf50386556a1d6 | Python | henrytan0705/DS-A | /interview questions/twoSum.py | UTF-8 | 1,010 | 4.09375 | 4 | [] | no_license | # O(n log n) Time| O(1) Space
def twoNumberSum(array, targetSum):
# sort array in order
array.sort()
# track left and right elements with indexes
left_idx = 0
right_idx = len(array) - 1
while left_idx != right_idx:
left = array[left_idx]
right = array[right_idx]
# check if sum is equal to targetSu... | true |
2f1b38ce8b3c1d2da522091bfa301516739ebd92 | Python | anurag1212/Search-Algorithms | /Search Algos/DFS/dfs.py | UTF-8 | 1,286 | 2.765625 | 3 | [] | no_license | words = []
#newList=[]
for line in open('i2.txt'):
words.extend(line.split())
algo=words[0]
start=words[1]
goal=words[2]
live_lines=int(words[3])
ll=live_lines*3
graph1={}
#print words
def fill_graph():
for v in range(4,ll+4,3):
if(graph1.has_key(words[v])==False):
graph1[words[v]]=[words[v+1]]
elif(graph1... | true |
fb02f39486aafa860bf8df6c2976cc8db45d0c2c | Python | Serge45/MSVCAutoBuilder | /msbuilder.py | UTF-8 | 2,436 | 2.515625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import os, subprocess
class Msbuilder:
def __init__(self, \
sln_path = r".\\", \
prj_name = "", \
build_config = r"Release", \
devenv_path = ""):
self.possible_msbuild_path = []
self.msbuild_path = None
... | true |
77be83e2bc743cca9ecb8ecb7ba7e3a861f69d0b | Python | Flavio58it/Supervised-Product-Similarity | /test_model.py | UTF-8 | 1,299 | 2.828125 | 3 | [] | no_license | import numpy as np
from src.model import siamese_network
from src.common import Common
# ## Manual Testing ###############################################################
# Converts titles into embeddings arrays and allow the model to make a prediction #
################################################################... | true |
81f4d65a3fefd7bdf5236b0eafea4a1a467dd563 | Python | razmikarm/structures_in_python | /stack.py | UTF-8 | 1,116 | 3.609375 | 4 | [] | no_license | from __future__ import annotations
class Node:
def __init__(self, value):
self.__next = None
self.__value = value
@property
def value(self):
return self.__value
@value.setter
def value(self, value):
self.__value = value
@property
def next(self):
... | true |
e085c8bffb7023ac6a6356cbc059dc3ec3630050 | Python | nizanshami/software_projet | /hw1/kmeans.py | UTF-8 | 4,213 | 3.578125 | 4 | [] | no_license | """
Kmeans implementation in Python
Software Project ex. 1
Amit Elyasi
316291434
Nizan Shemi
206962912
"""
import sys
def Kmeans(k, max_iter=200):
data_points = read_data()
if not good_input(data_points, k):
return
centroids = data_points[:k]
for i in range(max_iter):... | true |
5b8db511d50e8f2b37bc2ede8a107f534394e9eb | Python | zhjohn925/test_python | /TeachKidsPython/p00Spiral1.py | UTF-8 | 539 | 4.09375 | 4 | [] | no_license | import turtle
# https://docs.python.org/3.3/library/turtle.html?highlight=turtle
t1 = turtle.Turtle() # or use alias turtle.Pen()
t2 = turtle.Turtle()
t1.pencolor('blue')
t1.penup()
t1.setpos(100, 100)
t1.pendown()
t2.pencolor('pink')
for x in range(30):
t1.forward(x) # move forward x pixels
#t1.left(90)... | true |
499c334aaaf704c08661536b80f3bb9bfe23147e | Python | davidbrough1/TSP_Algorithms | /plot_points.py | UTF-8 | 1,814 | 2.640625 | 3 | [
"MIT"
] | permissive | # This file contains code used to generate plots from the trace and
# solution plots
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import csv
from os import listdir
from os.path import isfile, join
import sys
mypath = "/home/davinciwin/Algos/Amish_data"
output_path = "/home/davi... | true |
520c09ef12ec0f5b6b81d720df46e0aebeab07b5 | Python | sek788432/Electricity-Forecasting-DSAI-HW-2021 | /code/prophet.py | UTF-8 | 846 | 2.859375 | 3 | [] | no_license | from fbprophet import Prophet
from matplotlib import pyplot as plt
from neuralprophet import NeuralProphet
def prophet(data):
m = Prophet(interval_width=0.95, daily_seasonality=True)
m.fit(data)
future = m.make_future_dataframe(periods=7, freq='D')
forecast = m.predict(future)
forecast.tai... | true |
441a52daeda41951a059a786e4183bd3b99f0d30 | Python | szazyczny/MIS3640 | /Session04/quadratic.py | UTF-8 | 888 | 3.921875 | 4 | [] | no_license | #Define a function quadratic(a, b, c) to solve a quadratic equation: ax^2+bx+c=0
#Discriminant: b^2−4ac
def quadratic(a, b, c):
'''
return the two roots of a quadratic equation.
'''
d = (b ** 2 - 4 * a * c) ** 0.5 #use discriminant, 0.5 is exponent to get square root
x = (-b + d) / (2 * a) #solvi... | true |
18c0c2ccc40270968df3517afaa6157b26919846 | Python | gharib85/toqito | /toqito/state_opt/unambiguous_state_exclusion.py | UTF-8 | 3,444 | 3.671875 | 4 | [
"MIT"
] | permissive | """Unambiguous state exclusion."""
from typing import List
import cvxpy
import numpy as np
from .state_helper import __is_states_valid, __is_probs_valid
def unambiguous_state_exclusion(
states: List[np.ndarray], probs: List[float] = None
) -> float:
r"""
Compute probability of unambiguous state exclusio... | true |
fc5b4e10560be66e6173735da674dbb6cacc5615 | Python | MaxConstruct/ClimateSample | /analysis/netcdf_util.py | UTF-8 | 3,195 | 2.71875 | 3 | [] | no_license | # Import libraries and set configuration
# os used for path and directory management
import os
# xarray, is the most important library, used for manipulate netCDF Dataset operation
from pathlib import Path
import xarray as xr
import numpy as np
# matplotlib for plotting Dataset. cartopy for various map projection
f... | true |
7227c471e01b92533fd45d035fd81bd5d6e98def | Python | Leir-Cruz/ED | /questionario_grafo/q4.py | UTF-8 | 867 | 3.375 | 3 | [] | no_license | class Vertex:
def __init__(self, key):
self.key = key
self.neighboors = {}
def addNeighboor(self, vertex):
self.neighboors[vertex.key] = Vertex(vertex)
class Graph:
def __init__(self):
self.vertList = {}
def addVertex(self, key):
newVextex = Vertex(key... | true |
95a9e6a79e7db1e075d77eb7d51ee305d7809b46 | Python | WANGLU2/WANGLU_CP1404practicals | /prac_03/convert_temps.py | UTF-8 | 369 | 3.875 | 4 | [] | no_license | def main():
out_file = open("temps_output.txt", "w")
in_file = open("temps_input.txt", "r")
for line in in_file:
Fahrenheit = float(line)
print(convert_fahrenheit_to_celsius(Fahrenheit), file=out_file)
in_file.close()
def convert_fahrenheit_to_celsius(Fahrenheit):
celsius = 5 ... | true |
543bcc4c448c10a3f0e0faca19b41bbec3dd24b6 | Python | abhi8893/tensorflow-developer-certificate-deeplearning-ai | /04-sequences-time-series-and-prediction/course-notebooks/utils.py | UTF-8 | 778 | 3.4375 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
def plot_series(time, series, format="-", start=0, end=None, label=None):
plt.plot(time[start:end], series[start:end], format, label=label)
plt.xlabel("Time")
plt.ylabel("Value")
plt.grid(True)
def trend(time, slope=0):
return slope * time
def s... | true |
e3542802a904bc9fa329e32e486080492921d731 | Python | WeichselRiver/database | /sqlalchemy_test.py | UTF-8 | 560 | 3.125 | 3 | [] | no_license | from sqlalchemy import create_engine
db_string = "postgresql://postgres:<pwd>@localhost:5432/postgres"
db = create_engine(db_string)
# Create
db.execute("CREATE TABLE IF NOT EXISTS films (title text, director text, year text)")
db.execute("INSERT INTO films (title, director, year) VALUES ('Doctor Strange', 'Scott... | true |
af50b4006e89d70cff91a58eeac7669638e152c5 | Python | sanxml/Conveyor-belt-grabbing-device | /code/main.py | UTF-8 | 2,073 | 2.515625 | 3 | [] | no_license | import cv2 as cv
import numpy as np
import serial
import time
from binascii import unhexlify
from crcmod import mkCrcFun
import picture_process
import control
camera=cv.VideoCapture(2)
ROI_rect = (150,0,640-150,480)
lower_green = np.array([35, 45, 0])
upper_green = np.array([100, 255, 255])
# control.coordinate_wr... | true |
e8afe0c71f21cc2be8d1b7b146c8b99e33c9c0b8 | Python | Michael-Python/w3_weekend_game_v3 | /w3_homework_v3/app/models/player.py | UTF-8 | 117 | 2.84375 | 3 | [] | no_license | class Player:
def __init__(self, player, choice):
self.player = player
self.choice = choice
| true |
c3886224ef132f059eb058f7398e32663cd7af81 | Python | mohammedlutf/cg | /1.py | UTF-8 | 784 | 3.671875 | 4 | [] | no_license | import csv
print("the most specific hypothesis is :[000000]")
a=[]
print("the given training dataset \n")
with open('ws.csv','r') as csvfile:
reader=csv.reader(csvfile)
for row in reader:
a.append(row)
print(row)
num_attributes=len(a[0])-1
print("the initial value of hypothesis:\n")
hypothesis = ['0']*num_attr... | true |
291a64696ae8595db81eac3fb012874f9b913f08 | Python | tebeco/MyDemos | /Python/Demos/NumPyDemos/4/4-7.py | UTF-8 | 274 | 2.796875 | 3 | [] | no_license | #!/usr/bin/python
#-*-coding:utf-8-*-
import numpy as np
student = np.dtype([('name','S20'), ('age', 'i1'), ('marks', 'f4')])
print student
print '###################################'
a = np.array([('abc', 21, 50),('xyz', 18, 75)], dtype = student)
print a
| true |
b92dc0b13cc7b327f3bbefc891e6be7aec456956 | Python | Bazzzzzinga/Credit-Risk-Assessment | /Implementations/2.KNN/knn.py | UTF-8 | 1,274 | 2.828125 | 3 | [] | no_license | import os,csv,math
import numpy as np
from sklearn.metrics import classification_report
#Reading Data
csv_file_object = csv.reader(open('csvdataset.csv', 'rb'))
data=[]
for row in csv_file_object:
data.append(row)
data=np.array(data)
data=data[2::]
x=data[:,1:24]
y=data[:,24:25]
x=x[:,:].astype(np.float64)
x=(x-np.m... | true |
50a93efcf6e1ef6c5b453ed2b35424f0e3dc5d70 | Python | Ciprianivan2015/2020_PYHTON_SORTING | /PY_numpy_sorting_20200403.py | UTF-8 | 1,955 | 3.078125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 3 19:14:47 2020
@author: Cipriandan
1. define list of sample size
2. for each element in the list_1: create random.normal()
3. for each element in the list_1
4. for each element in the list_of_sorting_algorithms
5. t0 = time.time()
6. sort( s... | true |
e3d2fb72b04aa45fb993fc76ce6c660febf6180e | Python | john-Lyrics/John | /fibonachi.py | UTF-8 | 183 | 3.171875 | 3 | [] | no_license | def fib_rec(n):
if n<= 1 :
return n
else :
return fib_rec(n-1) + fib_rec(n-2)
print(fib_rec(10))
print(list(map(fib_rec, range(1,11)))) | true |
511157a8663341e503408a2a3b88e8809413d8cf | Python | zurk/lookout-sdk-ml | /lookout/core/tests/test_metrics.py | UTF-8 | 6,267 | 2.828125 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | import threading
import unittest
import requests
from lookout.core.metrics import ConfidentCounter, PreciseFloat, record_event
class MetricReader:
def __init__(self, port, addr="localhost"):
self.__is_running = False
self.__port = port
self.__addr = addr
self.__metrics = {}
... | true |
90e9692d11ad2658f2681164d53440f21fcfcc09 | Python | harry671003/coursera-algorithmic-toolbox | /week-2/euclidean-gcd.py | UTF-8 | 563 | 3.734375 | 4 | [] | no_license | def gcd(n1, n2):
# Swap numbers in case n1 < n2
if n1 < n2:
temp = n1
n1 = n2
n2 = temp
print("n1: %d | n2: %d" % (n1, n2))
if n2 == 0:
return n1
return gcd(n2, n1 % n2)
def main():
token = input('Enter 2 number: ')
(n1, n2) = token... | true |
2ac640d2a8cd666eae373aebeb4a2a7e81133dba | Python | andreatrejod/TC101 | /wsq10.py | UTF-8 | 1,035 | 4.21875 | 4 | [] | no_license |
import statistics # Este módulo permite calcular operaciones estadísticas como las que necesitamos en este programa.
lista = [float(input("Please give me the first number: ")), float(input("Please give me the second number: ")),
float(input("Please give me the third number: ")), float(input("Please give me the four... | true |
397292fc6b253c856b13dda39e3531a87fac3da4 | Python | Stargrazer82301/CAAPR | /CAAPR/CAAPR_AstroMagic/PTS/pts/magic/analysis/stars.py | UTF-8 | 5,138 | 2.765625 | 3 | [
"GPL-1.0-or-later",
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-philippe-de-muyter",
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
##... | true |
00317e414b485fd1f926a3681824e30046f76bd3 | Python | rootUJ99/py-programs | /left_right_sum_difference.py | UTF-8 | 681 | 3.859375 | 4 | [] | no_license |
'''
array = [1,2,4,5,1]
Find min difference of left and right sum of the array
e.g.
LS - RS
1 - 12 => 11
3 - 10 => 7
7 - 6 => 1
12 - 1 => 11
'''
def min_diff(sum, index, arr):
try:
print(sum)
if len(arr) > 1:
#if index > 0:
divider = len(arr) // index
le... | true |
7482732b8e3c8e7d646fa81754f0458594d827cf | Python | MatteoLacki/logerman | /logerman/json_ops.py | UTF-8 | 362 | 2.984375 | 3 | [] | no_license | import json
from pathlib import Path
class PathlibFriendlyEncoder(json.JSONEncoder):
"""This helps to store the paths."""
def default(self, z):
if isinstance(z, Path):
return str(z.expanduser().resolve())
else:
return super().default(z)
def dump2json(obj):
return j... | true |
8360c745043095b3aee6168b863ac046c6b1184d | Python | Sumitsahu896/My_LeetCode_Solutions | /fibonacci-number/fibonacci-number.py | UTF-8 | 238 | 3.4375 | 3 | [] | no_license | class Solution:
def __init__(self):
self.dict = {0:0, 1:1}
def fib(self, n: int) -> int:
if n not in self.dict:
self.dict[n] = self.fib(n - 1) + self.fib(n - 2)
return self.dict[n]
| true |
7daa2b63b32f1509dcb3ab8c78c9633fe98bafdc | Python | yopy0817/course-python | /day08/03def_return.py | UTF-8 | 719 | 4.25 | 4 | [] | no_license | # 함수의 반환 return
#매개 변수로 전달 받은 2개의 값의 합을 반환하는 함수.
def add(a, b) :
return a + b
result = add(10, 20)
print("10과 20의 합:", result)
#매개변수 까지의 합을 반환하는 함수.
def calSum(a) :
sum = 0
a = 1
while a <= 10 :
sum += a
a = a + 1
return sum
result = calSum(10)
print("1부터 10까지 합:", result)
#리스트의... | true |
4a2ca9f868a836715206e4e9db32bd178aad31de | Python | mcf-rocha/pyDEA | /pyDEA/core/gui_modules/custom_canvas_gui.py | UTF-8 | 435 | 2.765625 | 3 | [
"MIT",
"LicenseRef-scancode-other-permissive"
] | permissive | ''' This module contains StyledCanvas class.
'''
from tkinter import Canvas
from pyDEA.core.utils.dea_utils import bg_color
class StyledCanvas(Canvas):
''' Implements Canvas object with a custom background colour.
Args:
parent (Tk object): parent of this widget.
'''
def __init__(sel... | true |
ab60e1f5e4e2cffff6e5cad57e486b710ebf4bae | Python | yoshioH/readaloud-workout | /chunks/__init__.py | UTF-8 | 592 | 2.671875 | 3 | [] | no_license | # coding: utf-8
from enum import Enum
from abc import ABC
from abc import abstractmethod
from dataclasses import dataclass
class ChunkType(Enum):
READ_ALOUD = 0
QUESTION = 1
ANSWER = 2
@dataclass(frozen=True)
class Chunk:
type: ChunkType
text: str
class ChunkResource(ABC):
@abstractm... | true |
c6bfcc85d8e36d70b081308d416b0e9c873e1dd4 | Python | VagishM6/JPG_to_PNG_Converter | /JPGtoPNGConverter.py | UTF-8 | 559 | 3.1875 | 3 | [] | no_license | import sys
import os
from PIL import Image, ImageFilter
# grab the first and second args from the user
image_folder = sys.argv[1]
output_folder = sys.argv[2]
# check if (new) folder exist/ if not create it
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# loop through the directory, then conver... | true |
c483144e38c7a9f48f751c0316d3ae1cd248f009 | Python | danierubr/Exercicios-resolvidos | /URI/1548.py | UTF-8 | 299 | 3.6875 | 4 | [] | no_license | quant = int(input())
for v in range(quant):
alunos = int(input())
fila = list(map(int, input().split()))
filaordenada = sorted(fila, reverse=True)
cont = 0
for ind in range(0, len(fila)):
if fila[ind] == filaordenada[ind]:
cont += 1
print(cont)
| true |
4cae91584955eb167a0db4f3f2f6e4a5534470e3 | Python | lusiux/aoc2020 | /11/main.py | UTF-8 | 5,453 | 3.5625 | 4 | [
"MIT"
] | permissive | import sys
sys.path.append('./')
import Helper
import copy
input_for_testing = """L.LL.LL.LL
LLLLLLL.LL
L.L.L..L..
LLLL.LL.LL
L.LL.LL.LL
L.LLLLL.LL
..L.L.....
LLLLLLLLLL
L.LLLLLL.L
L.LLLLL.LL
"""
class Seatmap():
def __init__(self, lines):
self._read_input(lines)
def _read_input(self, lines):
... | true |
0b92001b2e32f67b798c7c7f0f1cf7de4f3ace44 | Python | ZheHanLiang/UAGA_reconstruct | /UAGA/model.py | UTF-8 | 2,454 | 3.234375 | 3 | [] | no_license | ##########################################################################
# @File: model.py
# @Author: Zhehan Liang
# @Date: 1/10/2020
# @Intro: GAN的模型函数，其中Discriminator是鉴别器，mapping是生成器
##########################################################################
import time
import torch
from torch import nn
# from .ut... | true |
0a6cd3ac5c88cde947ddd6b7a4715d4d12b82d36 | Python | MichalRybecky/Informatika | /ulohy/20.1.py | UTF-8 | 965 | 2.953125 | 3 | [] | no_license | import tkinter
c = tkinter.Canvas(height=200, width=1000, bg='black')
c.pack()
with open('stanice.txt', 'r') as file:
data = [x.strip() for x in file.readlines()]
def main():
global current, stanice
c.delete('all')
for stanica in stanice:
c.create_text(stanica[1], 100, anchor='w', text=stanic... | true |
e99c7b6e9c5e8b8562e72467d7877dc5255594c0 | Python | ispastlibrary/Titan | /2015/AST1/vezbovni/anja/treci.py | UTF-8 | 69 | 2.875 | 3 | [] | no_license | S=0
for i in range(101):
S+=i
print("konacno resenje je: ", S)
| true |
dcbe681f2dae5ee7c917f79691e2cd33b70940d2 | Python | VigneshKarthigeyan/DS | /Linked_List/flat_multi_level_ll.py | UTF-8 | 970 | 3.578125 | 4 | [] | no_license | #Flatten a multilevel ll
class Node:
def __init__(self,val):
self.data=val
self.next=None
self.child=None
def printlist(head):
while head:
print(head.data,end=' ')
head=head.next
def flat(head):
tail=head
while tail.next:
tail=tail.next
... | true |
c81a5d5e79032cd7baf9a46d2979a58d34001413 | Python | dansgithubuser/pdf-explorer | /pdf/_objects.py | UTF-8 | 2,955 | 2.921875 | 3 | [] | no_license | '''
This file makes page and section references to ISO 32000-1:2008.
Objects are documented in section 7.3 of ISO 32000-1:2008.
'''
import re
import pprint
import zlib
class Name:
escape_regex = re.compile('#([0-9a-fA-F]{2})')
def __init__(self, literal):
self.value = Name.escape_regex.sub(lambda m:... | true |
f17160c31a9a3eac744b6b549ba49231afed5d7a | Python | batbeerman/hellogit | /qu2.py | UTF-8 | 131 | 3.1875 | 3 | [] | no_license | test_tup = 32,454,56,32,1,9,76
print('Max element of tuple is :',max(test_tup))
print('Min element of tuple is :',min(test_tup))
| true |
e531d0b14eae818c79ff7770b49416d77c5ed4c1 | Python | widelec9/codewars | /kata/python/5kyu/tongues.py | UTF-8 | 347 | 2.90625 | 3 | [] | no_license | def tongues(code):
v = 'aiyeou'
c = 'bkxznhdcwgpvjqtsrlmf'
out = ''
for i, ch in enumerate(code):
if ch.isalpha():
ch = v[(v.index(ch.lower()) + 3) % len(v)] if ch.lower() in v else c[(c.index(ch.lower()) + 10) % len(c)]
ch = ch.upper() if code[i].isupper() else ch
... | true |
b6ec1b528c3614b4a9e8cce5e0292d15dc77ec98 | Python | sp5/c-exercises | /sort/testsort.py | UTF-8 | 157 | 3.140625 | 3 | [] | no_license | import sys
prev = 0
for line in sys.stdin:
cur = int(line)
if cur < prev:
print("EVIL SORT VERY BAD")
sys.exit(0)
prev = cur
| true |
8177a65fddd055c711e994c0725fb27077ca1812 | Python | peterpeng1993/learngit | /script/python/pygame入门9.py | UTF-8 | 1,867 | 3.1875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 29 20:26:31 2018
@author: asus
"""
import sys,pygame
from random import choice
class MyBallClass(pygame.sprite.Sprite):
def __init__(self,image_file,location,speed):
pygame.sprite.Sprite.__init__(self)
self.image=pygame.image.load(image_fi... | true |
0a33a5d574c1d8b6d889f75a4a2f3f001eb35af9 | Python | swarren/advent-of-code-2020 | /python/day20.py | UTF-8 | 1,601 | 2.859375 | 3 | [] | no_license | #!/usr/bin/env python3
import functools
import operator
with open("../input/day20.txt") as f:
data = f.read().splitlines()
def s2i(s):
v = 0
for c in s:
v <<= 1
v |= ((c == '#') and 1 or 0)
return v
tiles = {}
tile = None
ln = 0
ts = 0
ls = 0
rs = 0
for l in data:
ln += 1
#pr... | true |
f667647fe7156078432a23743802c0d629413ad6 | Python | rajui67/learnpython | /python_code_exaples/collections/sets/union.py | UTF-8 | 1,026 | 4.09375 | 4 | [] | no_license | set1 = {1, 2, 3}
set2 = {1, 5}
print(set1 | set2)
print(set1.union(set2))
print(set2 | set1)
print(set2.union(set1))
# up until this point set1 and set2 remain unchanged. The operators and function return a new set
print(set1, set2)
set1 = {1,1,2,2,3}
set2 = {1,5}
# |= a shortcout operator. Essentially, set1 |= set2 ... | true |
c47fc129c20863be802047f9abfef0fc4b38bf8d | Python | shilpakancharla/machine-learning-tutorials | /data_scraping/bing.py | UTF-8 | 1,723 | 2.6875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 24 10:45:31 2018
@author: shilpakancharla
"""
import urllib,urllib2
import re
from bs4 import BeautifulSoup
from datetime import datetime
def bing_grab(query):
t1 = datetime.now()
address = "http://www.bing.com/search?q=%s" % (urllib... | true |
3a4efe163811aeb7c30ddf1e4e8bdde05cccdd1e | Python | weidler/RLaSpa | /src/gym_custom_tasks/envs/simplePathing.py | UTF-8 | 4,772 | 2.671875 | 3 | [
"MIT"
] | permissive | import copy
import numpy
import numpy as np
import gym
import torch
from gym import error, spaces, utils
from gym.utils import seeding
import platform
if 'rwth' in platform.uname().node.lower():
import matplotlib
matplotlib.use('Agg') # Force matplotlib to not use any Xwindows backend.
import matplotlib.pyplot... | true |
7970f33425d471802dcc3751601fc0eb6cdb3925 | Python | srinitude/holbertonschool-higher_level_programming | /0x07-python-test_driven_development/2-matrix_divided.py | UTF-8 | 1,806 | 3.65625 | 4 | [] | no_license | #!/usr/bin/python3
"""Matrix Divided Module"""
def check_for_ints_and_floats(matrix):
"""Bad input"""
bad_input = "matrix must be a matrix (list of lists) of integers/floats"
flat_list = [i for sublist in matrix for i in sublist]
for i in flat_list:
if type(i) is not int and type(i) is not flo... | true |
fddfca3ddbb7e04ea6895479a101537f0fd5b1c8 | Python | Ich1goSan/LeetcodeSolutions | /removeNthFromEnd.py | UTF-8 | 508 | 3.125 | 3 | [
"MIT"
] | permissive | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def removeNthFromEnd(self, head, n):
if not head:
return None
if not head.next and n == 1:
return None
r = []
current = head
while current:
r.append(current)
current = current.ne... | true |
19b8735515f2dabddbd703545e944a816289245a | Python | Addikins/CIS164 | /Unit12/CSVread.txt | UTF-8 | 130 | 2.59375 | 3 | [] | no_license | import csv
csv_file = open('cochise.csv')
csv_reader = csv.reader(csv_file)
csv_contents = list(csv_reader)
print(csv_contents)
| true |
e912546e6bed4325be0adcd54f5761135f97867b | Python | sweec/leetcode-python | /src/NextPermutation.py | UTF-8 | 785 | 2.984375 | 3 | [] | no_license | class Solution:
# @param num, a list of integer
# @return a list of integer
def nextPermutation(self, num):
l = len(num)
for i in range(l-2, -1, -1):
if num[i] < num[i+1]:
index = l-1
for j in range(i+2, l):
if num[j] <... | true |
37e10f39d8819bdd38e13ffe90a7b7bcd6306f40 | Python | antman9914/CitiChatbot | /Aiml模板翻译/TranslateXml.py | UTF-8 | 4,961 | 2.703125 | 3 | [] | no_license | #作者：肖劲宇 李蕴琦
#用途：对aiml模板进行翻译
#时间：2019.7.3
from bs4 import BeautifulSoup
import requests
import string
import time
import hashlib
import json
import os
import random
#百度翻译api的url，以及appid和密钥
api_url = "http://api.fanyi.baidu.com/api/trans/vip/translate"
my_appid = '20151113000005349'
cyber = 'osubCEzlGjzvw8q... | true |
aaea7fe7acc39c1c517311540de8d1fa44cc94c3 | Python | onehours/python-crawler | /xiaoshuo-quanshuwang.com/get_book.py | UTF-8 | 1,447 | 2.84375 | 3 | [] | no_license | import requests
import time
from lxml import etree
from get_headers import getheaders
import sys
if len(sys.argv) == 1:
url = 'http://www.quanshuwang.com/book/174/174135'
else:
url = sys.argv[1]
if not url.startswith('http'):
print('请输入有效的url')
sys.exit(1)
def get_obj(url):
# head... | true |
279c4ba720b08aee015799dcc4db84177a828a4e | Python | mandub/project_2 | /convolution.py | UTF-8 | 2,660 | 3.421875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
def convolve(g, h):
"""
Convolves g with h, returns valid portion
:param g: image
:param h: filter
:return: result of convolution, shape=( max( len(g), len(h) ), max( len(g[0]), len(h[0]) ) )
result of convolution, shape=( max( len(g), len(h)... | true |
4f85b028c59999f4017254ba2d4f5e4c5fa308c4 | Python | ealehman/mpi | /mandelbrot/mandelbrot_masterslave.py | UTF-8 | 2,016 | 2.859375 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from mpi4py import MPI
from P4_serial import *
def slave(comm):
jobs = True
while jobs:
status = MPI.Status()
y = comm.recv(source=0, tag = MPI.ANY_TAG, status = status) #, status=status)
tag = status.Get_tag()
if tag ... | true |
54c0bd639845218533276a39cac3615371227147 | Python | dantepsychedelico/sufproject | /socketServer/router.py | UTF-8 | 2,038 | 2.65625 | 3 | [] | no_license |
import json, time
from Users import users
from mongoCtrl import mongoCtrl as mctrl
class router:
def __init__(self, socket):
""" every online user have one router object and used 'Ctrl' method to control request and response """
self.socket = socket
self.uid = None
self.__route = ... | true |
a0af15dfdd0fbd612a46b33e14408c4b257a88b2 | Python | AaruranLog/Analogies | /analogies/utils/word_entry.py | UTF-8 | 326 | 2.796875 | 3 | [
"MIT"
] | permissive | """
Forms to capture text
"""
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired
class SimpleWordEntry(FlaskForm):
"""Simplest form to capture text"""
text = StringField('Text: ', validators=[DataRequired])
submit = SubmitField('Sub... | true |
25c85237687f297ded228521719eed1d72715d5b | Python | DaHuO/Supergraph | /codes/CodeJamCrawler/16_0_2/rchen8/revenge_of_the_pancakes.py | UTF-8 | 376 | 2.953125 | 3 | [] | no_license | file = open('revenge_of_the_pancakes.txt', 'r')
output = open('revenge_of_the_pancakes_out.txt', 'w')
t = int(file.readline())
for i in xrange(0, t):
s = file.readline()
count = 0
for j in xrange(0, len(s) - 2):
if s[j] != s[j + 1]:
count += 1
if s[-2] == '-':
count += 1
output.write('Case #' + str(i + 1) ... | true |
1a45f311253331631bb052de98bdb1f6e00118ab | Python | vstarman/python_codes | /19day/02.jing_dong.py | UTF-8 | 1,556 | 3.03125 | 3 | [] | no_license | from pymysql import *
class JD(object):
def __init__(self):
# 创建数据库对象 和 数据库操作对象
self.qd_liu = connect(
host='localhost',
port=3306,
database='jd_market',
user='root',
password='mysql',
charset='utf8')
self.cursor = sel... | true |
291fb6c3d36dc89483af428cf73c99c1888f105c | Python | Aggraxis/killer-bot | /utilities.py | UTF-8 | 1,138 | 3.65625 | 4 | [
"MIT"
] | permissive | import csv
from random import randint
def listFiller(fileName):
with open (fileName) as csvfile:
reader = csv.DictReader(csvfile)
return (list(reader))
def compose_response(random_target):
# random_target is a dictionary, and the key names like
# 'CONTRACT_NUMBER' come from ... | true |
0eff68e3d52c755f6cedf473296a21905f03c92f | Python | Ogiwara-CostlierRain464/scikit-learning | /play.py | UTF-8 | 185 | 3.734375 | 4 | [] | no_license | for i in range(1, 101):
if i % 15 == 0:
print("WizzWuzz")
elif i % 3 == 0:
print("Wizz")
elif i % 5 == 0:
print("Wuzz")
else:
print(i)
| true |
6fe2f20c583da091aa3bfd85562d65ab8762105c | Python | aig-upf/automated-programming-framework | /domains/other/blocks/gen-problem.py | UTF-8 | 1,175 | 2.53125 | 3 | [] | no_license | #! /usr/bin/env python
import sys,time,random
#**************************************#
# MAIN
#**************************************#
try:
nblocks = int(sys.argv[1])
except:
print "Usage:"
print sys.argv[0] + " <nblocks>"
sys.exit(-1)
str_problem=""
str_problem=str_problem + "(define (problem p"+str(nblo... | true |
71de6ed5f999d4ec597a8ff5cf4f8a841b70766c | Python | rmorales87atx/cosc1336_fall12 | /lab01/tip_tax_total.py | UTF-8 | 961 | 4.34375 | 4 | [] | no_license | # COSC 1336 Lab 1 Problem 1
# Robert Morales
#
# Test Case:
# The bill amount is $100.00. The tip is $15.00, tax is $7.00,
# total is $122.00.
#
# First probem is that input is not being correctly converted.
# Using 'float()' fixes this problem.
#
# Second problem is in the summation of the total; the bill
# total is b... | true |
6899d0950bea82651195cdea9c2c737af548730a | Python | park8989/python_example | /initial_code/dateExpressChange.py | UTF-8 | 636 | 3.890625 | 4 | [] | no_license | #! python3
# 日付表示方法を変える
import datetime
today1= datetime.date.today()
today2= "{0:%Y:%m:%d}".format(today1)
today3= "{0:%Y.%m.%d}".format(today1)
today4= "{0:%Y年%m月%d日}".format(today1)
today5= "{0:%Y년%m월%d일}".format(today1)
print(today1)
print(today2)
print(today3)
print(today4)
print(today5)
#曜日を付け加える
p = today1.w... | true |
522536cd6e41e5af96eeec8119ede510758b5034 | Python | nocproject/noc | /core/clickhouse/fields.py | UTF-8 | 10,912 | 2.59375 | 3 | [
"BSD-3-Clause"
] | permissive | # ----------------------------------------------------------------------
# ClickHouse field types
# ----------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Pytho... | true |
0cdfd467f31e9f092a60f613b7a4a636ce06790f | Python | qmnguyenw/python_py4e | /geeksforgeeks/python/python_all/80_10.py | UTF-8 | 2,301 | 3.734375 | 4 | [] | no_license | Python | Rear stray character String split
Sometimes, while working with Python Strings, we can have problem in which we
need to split a string. But sometimes, we can have a case in which we have
after splitting a blank space at rear end of list. This is usually not
desired. Lets discussed ways in which this ... | true |
28cc67917715f6c9ede4590b4c3962532693bf83 | Python | andrenasx/FEUP-MNUM | /Segundo Teste/2016T2/4.py | UTF-8 | 250 | 3.140625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 9 21:16:39 2019
@author: fmna
"""
def dyx(x,y):
return -0.25*(y-42)
def euler(T,t,tf,h):
while(t<tf):
T+=h*dyx(t,T)
t+=h
return T
#euler(10,5,5+2*0.4,0.4) | true |
6707e782bcb42b5bc6a72cd8282efdc575e2c2c7 | Python | dcarrillo11/PHaDA | /features.py | UTF-8 | 2,011 | 3.0625 | 3 | [] | no_license | #PHaDA: features v1.0
#Daniel Carrillo Martin
import os
import shutil
from datetime import datetime
from subprocess import Popen,PIPE,call
from time import sleep
from Bio import SeqIO
def directorer(filequery,filesubject):
"""filequery: query fasta file
filesubject: subject fasta file
This functi... | true |
ae189caa08994b60d3490b83a17a690699c69f1e | Python | fedetft/tdmh | /experiments/scripts/old/extract_graph.py | UTF-8 | 704 | 2.859375 | 3 | [] | no_license | #!/usr/bin/python
import re
import sys
from graphviz import Graph
dot = Graph(name='Topology')
dot.graph_attr['rankdir'] = 'LR'
nodes = []
fname = (sys.argv[1][0: sys.argv[1].rindex(".")] if sys.argv[1].index(".") > 0 else sys.argv[1]) + '.pdf'
with open(sys.argv[1], 'r') as fin:
line = fin.readline()
while ... | true |
75d596a1db2dc721cf6706059b6743a10f3827c7 | Python | fherrmannsdoerfer/masterArbeit | /scriptsForPictures/compareSkellamVariance.py | UTF-8 | 2,686 | 2.828125 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plot
def doSkellam(data):
diffs=data[1:]-data[:-1]
meandiff = (diffs[0]-diffs[-1])/np.float(data.shape[0])
sig2 = np.sum((meandiff-diffs)**2)/(data.shape[0]-1)
return (meandiff+sig2)/2.
listvarvar = []
listvarskellam = []
listmeanskellam = []
listmeanvar=... | true |
7655e51aa224f544226172a1c4c7be0f85fdd6ec | Python | paramita2302/algorithms | /iv/Strings/Palindrome.py | UTF-8 | 839 | 3.859375 | 4 | [
"MIT"
] | permissive | class Palindrome():
# @param A : string
# @return an integer
def isPalindrome(self, A):
n = len(A)
if len(A) < 2:
return 1
i = 0
j = n -1
while i < j:
if (A[i]).isalnum() and (A[j]).isalnum():
print((A[i]).lower())
... | true |
fac34e0cbc83b5acaebbbb2346201622afbef9b3 | Python | wulinlw/leetcode_cn | /leetcode-vscode/92.反转链表-ii.py | UTF-8 | 2,076 | 3.828125 | 4 | [] | no_license | #
# @lc app=leetcode.cn id=92 lang=python3
#
# [92] 反转链表 II
#
# https://leetcode-cn.com/problems/reverse-linked-list-ii/description/
#
# algorithms
# Medium (49.23%)
# Likes: 314
# Dislikes: 0
# Total Accepted: 38.3K
# Total Submissions: 77.5K
# Testcase Example: '[1,2,3,4,5]\n2\n4'
#
# 反转从位置 m 到 n 的链表。请使用一趟扫描完成... | true |
b99f0f7eb61850c527bc566cb41233ba9a114e11 | Python | SWHarrison/CS-2.1-Trees-Sorting | /Code/tree_project/B_plus_tree.py | UTF-8 | 11,251 | 3.796875 | 4 | [] | no_license | class B_plus_tree_node:
def __init__(self, is_leaf = True):
self.keys = []
self.children = []
self.is_leaf = is_leaf
self.next_leaf = None
# currently unused and non-functional
def add_node(self, key, new_node):
for i in range(len(self.keys)):
if key <... | true |
b08f4fc892d2727a77ca5945e1e017bcd59c1ac4 | Python | Orbedi/Daily-coding-problem | /Daily_coding_problem_2.py | UTF-8 | 1,519 | 4.59375 | 5 | [] | no_license |
""" Problem:
Given an array of integers, return a new array such that each element at index i
of the new array is the product of all the numbers in the original array except the one at i.
For example, if our input was [1, 2, 3, 4, 5], the expected output would be
[120, 60, 40, 30, 24]. If our input was [3, 2, 1], the... | true |
765fbb9f14447f829cdba2fc8a957a1512507a02 | Python | chrismabdo/airport-python | /apps/weather.py | UTF-8 | 191 | 3.03125 | 3 | [] | no_license | import random
class Weather:
def __init__(self):
self.conditions = ["sunny", "overcast", "stormy"]
def weather_check(self):
return random.choice(self.conditions) | true |
5b5ad3ea5ad60085ceec65e5999aa5c98cf58fd8 | Python | brennan6/DSCI551 | /project_final/mysqlRanksConnector.py | UTF-8 | 868 | 2.640625 | 3 | [] | no_license | from mysql.connector import Error
import mysql.connector
import json
cnx = mysql.connector.connect(host = 'project-dsci551-ranks.c8u9e3pxnupz.us-east-1.rds.amazonaws.com',
user = 'mbrennan6', password = 'songdsci551', database = 'songRanks')
def pull_down_ranks():
""" (2) Pull down all... | true |
07fa944369a136a34c5d1b9b20b56821eed2da03 | Python | mylesmcleroy/planar-data-classifier | /planar_data_classifier.py | UTF-8 | 12,295 | 3.59375 | 4 | [] | no_license |
# coding: utf-8
# Planar data classification with one hidden layer
# Packages
# - [numpy](www.numpy.org) is the fundamental package for scientific computing with Python.
# - [sklearn](http://scikit-learn.org/stable/) provides simple and efficient tools for data mining and data analysis.
# - [matplotlib](http://mat... | true |
cf29797e76a030296d6e52e6cf545063b6b3bf60 | Python | liuhanyu200/pygame | /8/8-9.py | UTF-8 | 174 | 2.859375 | 3 | [
"BSD-3-Clause"
] | permissive | # coding:utf-8
def show_magicians(magicians):
for magician in magicians:
print(magician)
show_magicians(['gekongquwu', 'kongshoutaobailang', 'dianjujinghun'])
| true |
031ed4581c78c49b3b3552a76ab014529852c95e | Python | Bassmann/deepsecurity | /python/computer-status.py | UTF-8 | 7,268 | 2.625 | 3 | [] | no_license | import json
import os
import sys
import warnings
import deepsecurity as api
from deepsecurity.rest import ApiException
from datetime import datetime
def format_for_csv(line_item):
"""Converts a list into a string of comma-separated values, ending with a newline character.
:param line_item: The list of lists t... | true |
584bc2883fc95f60403141f029fab7a1b61ace20 | Python | etmitchell/MTTime | /MTTime.py | UTF-8 | 2,004 | 3.28125 | 3 | [] | no_license | from datetime import datetime
import time
import Tkinter
def DateTimeInMagic(MEDITECH):
MEDITECH = float(long(MEDITECH))
MTTime = MEDITECH
if time.daylight == 1:
#Add the difference between UTC Daylight Savings and MEDITECH time (320734800 seconds)
MTTime += 320731200
else:
#Add... | true |
a92c4d44866769a62a10908e3a1aaa0ae6fdb0c8 | Python | shikha735/Programs | /Competitive Programming/IB_Strings_Reverse_String.py | UTF-8 | 422 | 3.75 | 4 | [] | no_license | # https://www.interviewbit.com/problems/reverse-the-string/
'''
Given an input string, reverse the string word by word.
Example:
Given s = "the sky is blue",
return "blue is sky the".
'''
class Solution:
# @param A : string
# @return string
def reverseWords(self, A):
li = A.split()
li.re... | true |
0c855755ae66b018c20a0d7a2b57769e63a5f89f | Python | roquesrolando/holberton-system_engineering-devops | /0x15-api/3-dictionary_of_list_of_dictionaries.py | UTF-8 | 713 | 2.6875 | 3 | [] | no_license | #!/usr/bin/python3
"""Gather data from API"""
import json
import requests
import sys
if __name__ == "__main__":
info = {}
site = 'https://jsonplaceholder.typicode.com/'
user = requests.get(site + 'users').json()
for x in user:
ID = x.get('id')
dos = requests.get(site + 'todos?userId={}... | true |
1979b6d72815c967bf012d65effed314ceafdf31 | Python | dm-alexi/acmp | /0001_0100/0031/0031.py | UTF-8 | 352 | 3.09375 | 3 | [] | no_license | def derange(n):
return 1 if n == 0 else 0 if n == 1 else n * derange(n - 1) + (-1)**n
def c(n, k):
a = b = 1
while n > k:
a *= n
b *= n - k
n -= 1
return a // b
with open("input.txt", "r") as f, open("output.txt", "w") as q:
n, k = map(int, f.readline().split())
q.write... | true |
4a80871374293318b3ecc2737f15a675731c4bc3 | Python | iamshivamgoswami/Random-DSA-Questions | /task scheduler.py | UTF-8 | 746 | 2.859375 | 3 | [] | no_license | import collections
class Solution:
def leastInterval(self, tasks: List[str], k: int) -> int:
s = "".join(tasks)
c = collections.Counter(s)
stack = sorted(c.items(), key=lambda x: x[1])
char, count = stack.pop()
lst = [[char] for i in range(count)]
while stack and sta... | true |