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 |
|---|---|---|---|---|---|---|---|---|---|---|
cfb931dc49735e543524b714604ca984abced806 | ccevan/leetcode | /0002_addTwoNumbers.py | UTF-8 | 597 | 3.359375 | 3 | [
"MIT"
] | permissive | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def addTwoNumbers(self, l1, l2):
if not l1 and not l2:
return
elif not (l1 and l2):
return l1 or l2
else:
if l1.val + l2.val < 10:
l3... | true |
e4cf8ee82310b0e72764131bed8fc583af2d86a4 | tegardp/100-projects-100-days | /Day 3/project3.py | UTF-8 | 630 | 3.671875 | 4 | [] | no_license | countTrue = 0
countLove = 0
name1 = input('name1 = ')
name2 = input('name2 = ')
concatName = name1.lower() + name2.lower()
for i in concatName:
if i == 't' or i == 'r' or i == 'u' or i == 'e' and countTrue < 10:
countTrue += 1
if i == 'l' or i == 'o' or i == 'v' or i == 'e' and countLove < 10:
... | true |
b9eb289785fda8a5a33dab7bdb8bdb895da97062 | mayadm/pyro-calc | /client.py | UTF-8 | 328 | 2.78125 | 3 | [] | no_license | #!/usr/bin/python
import Pyro.core
haus = Pyro.core.getProxyForURI("PYROLOC://localhost:7766/jambu")
print "Masukan angka pertama :"
nguk = raw_input()
print "Masukan angka kedua :"
ngik = raw_input()
print "Masukan operasi [ + - / * ]:"
opt = raw_input()
hasil = haus.jus(nguk,ngik,opt)
print "Hasilnya adalah "+int(ha... | true |
3d5510d728cc1895978a88518192cc1fc51d124c | gablank/UNIK4690 | /detect.py | UTF-8 | 3,999 | 2.53125 | 3 | [] | no_license | #!/usr/bin/python3
import playground_detection
import ball_detection
import numpy as np
import cv2
from os import walk
def detection_method(img):
S = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
avg = np.average(S)
ret, S = cv2.threshold(S, 2*avg, 255, cv2.THRESH_BINARY)
cv2.imshow("S", S)
cv2.waitKey(0)... | true |
f495329ce8390f9ffea2fb48984d1f4fafd44127 | hmehta/acdsc | /acdsc/parser.py | UTF-8 | 1,530 | 2.703125 | 3 | [] | no_license | #!/usr/bin/python3
import configparser
class ACParser(configparser.ConfigParser):
optionxform = str
def prefix_sections(self, prefix):
def startswith_prefix(value):
return value.startswith('{}_'.format(prefix))
return sorted(filter(startswith_prefix, self.sections()),
... | true |
d433eacfda456ae14e6f66d03c2c2a0ee84d058d | sbussmann/insight-bikeshare | /Code/bostonstationdata.py | UTF-8 | 2,112 | 2.59375 | 3 | [] | no_license | import pandas as pd
#import numpy as np
import densitymetric
#import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
""" User Defined Parameters """
# scale radius by which to weight complementary zip codes
zipscale = 0.5
# scale radius by which to weight complementary hubway stations
stationscale = 1.0
# ... | true |
432d3b26fee6536f0176f1d7426ac60c46883be7 | wxnacy/study | /python/leetcode/test.py | UTF-8 | 624 | 2.6875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: wxnacy(wxnacy@gmail.com)
# Description:
# import datetime
import time
# utc = datetime.datetime.utcnow()
# da = datetime.datetime.strftime(utc, '%Y-%m-%d 00:00:00')
# mt = time.mktime(time.strptime(da, '%Y-%m-%d %H:%M:%S'))
# print(da)
# print(mt)
# print(d... | true |
13ffb2b854ecc2d3e779d71b1a2ae1a6dbd18de4 | Likelion-Algorithm/AlgoStudy | /티어 별 문제/실버2/섬의 개수/주현.py | UTF-8 | 1,190 | 3.03125 | 3 | [] | no_license | from collections import deque
w, h =map(int,input().split())
answer = []
controll = [[0,1],[0,-1],[1,0],[-1,0],[1,1],[1,-1],[-1,1],[-1,-1]]
while w!=0 and h !=0:
graph = []
queue = deque([])
for i in range(h):
graph.append(list(map(int,input().split())))
land = 0
for x in range(h):
... | true |
9b97749464e632b495000cbe78739efecd2c5367 | jautero/fuckspores | /google-app-engine/markdown/extensions/__init__.py | UTF-8 | 3,432 | 3.09375 | 3 | [] | no_license | from markdown.md_logging import message
from logging import DEBUG, INFO, WARN, ERROR, CRITICAL
"""
Extensions
-----------------------------------------------------------------------------
"""
class Extension:
""" Base class for extensions to subclass. """
def __init__(self, configs = {}):
"""Create an... | true |
6698cf962ecbf0de53a869857ee3c13253f04742 | mare7811/Signals-and-Systems-II | /hw13p3.py | UTF-8 | 1,523 | 3.3125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Miguel Mares
ECE 450
HW 13
Problem 9.3.1
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy
dt = 0.01
NN = 1000
k = np.arange(0,NN*dt,dt)
x = .5*np.sin(2*np.pi*.1*k) + np.sin(2*np.pi*k) + .5*np.sin(2*np.pi*10*k)
plt.figure()
plt.plot(k,x,'k')
p... | true |
6449c3787b4c383fb0075ef1b5a2f0e1c754b340 | YujunXie/Tools | /tsne.py | UTF-8 | 1,091 | 2.953125 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import mpl_toolkits.mplot3d.axes3d as p3
def tsne():
colors = ['k','r','yellow','b','c','m','chocolate','pink','lawngreen','indigo','aliceblue','burlywood','dimgray','sienna'
'gold']
X = np.load('X.npy')
... | true |
aded31bd2e7293bb1ba3464507b6df6d21e24718 | roybotx/sneakergogogo | /ins_api.py | UTF-8 | 1,576 | 2.65625 | 3 | [] | no_license | import time
import selenium.webdriver as webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
url = 'https://www.instagram.com/explore/tags/sneakers/'
driver = webdriver.Chrome()
driver.get(url)
i... | true |
e75be275ed91dd040023034f9b1c3d85061a54e1 | fengchuiguo1994/little_tools | /bed2bedgraph.py | UTF-8 | 2,851 | 2.5625 | 3 | [] | no_license | import pysam
import sys
# python bed2bedgraph.py test.size test.bed.gz 8 4 test.bedgraph
### Operating common files ###
import gzip
def readFile(infile):
"""
infile: input file
return: file handle
"""
if infile.endswith((".gz","gzip")):
fin = gzip.open(infile,'rt')
else:
fin = ... | true |
f1a148067362f7c9c2db947fb2fbcb875e93d559 | chiragnagpal/College-Work | /Second_Year/210242_Data_Structures_Problem_solving/Sorting/radix sort/radixsort.py | UTF-8 | 879 | 3.25 | 3 | [] | no_license | def main():
buck=[]
a=[]
g=input("enter length of array")
for i in range(g):
a.append(input("Enter next No."))
print "you have entered the following nos"
print a
large=0;
for i in range(g):
if a[i]>large:
large=a[i]
print "largest no is ",large
num=0
... | true |
7228907db3023bbd3a0374a3a00f93f81f8a8992 | mwrightE38/svenzva_ros | /svenzva_simulation/src/trajectory_publisher.py | UTF-8 | 1,970 | 2.703125 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
"""
This file gives a demonstration of sending a waypoint trajectory programatically.
The trajectory action server can be invoked in two separate ways-
1) Through an actionlib client
2) Through publishing to a topic
Both methods are exemplified here.
"""
import rospy
import actionlib
from traje... | true |
fc371d1aedc5b7503682d5a47aef36944c4edc59 | mehzabeen000/list | /average.py | UTF-8 | 341 | 3.796875 | 4 | [] | no_license | #we have to print the average of marks in given list
marks=[[10,20,30,40],[10,20,30,40],[10,20,30,40]]
counter=0
sum=0
while counter<len(marks):
j=0
count=0
while j<len(marks[counter]):
sum+=marks[counter][j]
count+=1
j+=1
counter+=1
print(sum)
print((sum//count), ... | true |
67bfca900584d5beecf886dd53c5a2e46433fe2b | Ahsanul-kabir/Python-Learning-Codes | /Mosh_33_Exception 2.py | UTF-8 | 207 | 3.25 | 3 | [] | no_license | try:
list = [20,0,30]
result = list[0] / list[1]
print(result)
print("Done")
except (ZeroDivisionError , IndexError):
print("You have enter wrong input")
finally:
print("Successful")
| true |
12241ee8b8c333617201a3207a9600732b38a9f1 | aditya-srikanth/ML-Assignments | /Assignment_2/get_bayes_data.py | UTF-8 | 1,595 | 2.953125 | 3 | [] | no_license | import hardcoded_params
import os
import pickle
import numpy as np
def get_bayes_data():
print('Searching for the data')
data = []
if not os.path.isfile(hardcoded_params.PATH_TO_PICKLE_BAYES):
with open(hardcoded_params.PATH_BAYES_DATASET,'r') as file_handle:
for line in file_handle:
line = line.strip()
... | true |
11a821efafa7ad2238377837523c5079d1c9ede8 | dstada/HackerRank.com | /Permuting Two Arrays - Greedy - Algorythms.py | UTF-8 | 671 | 3.515625 | 4 | [] | no_license |
def twoArrays(k, A, B):
A.sort()
B = sorted(B , reverse=True)
new_list = list(zip(A, B))
for item in new_list:
if sum(item) < k:
return "NO"
return "YES"
if __name__ == '__main__':
q = int(input())
for q_itr in range(q):
nk = input().split()
n = int(nk... | true |
41309208f90d5cfcc8884fda23648ff4e406b6e4 | Elektro33rus/graphs | /MainFunctions.py | UTF-8 | 12,925 | 2.703125 | 3 | [] | no_license | import multiprocessing
from PyQt5.QtCore import QThread, pyqtSignal
import networkx as nx
import random
from matplotlib import pyplot as plt
def SaveGraph(graph, size, pos, path):
if False:
nx.draw(graph, node_size=size*100, with_labels=True, pos=pos, node_shape='o', font_size=size/5, font_color='red')
... | true |
2ac83120cf63579c28a381ddb6ba838ba97798e5 | stephenpdrey/uiAutoTestHmtt05 | /page/page_app_article.py | UTF-8 | 806 | 2.671875 | 3 | [] | no_license | from base.app_base import AppBase
import page
from tools.get_logger import GetLogger
log = GetLogger.get_logger()
class PageAppArticle(AppBase):
# 1. 查找频道
def page_click_channle(self, click_text):
# 调用从右向左滑动方法
self.app_base_right_wipe_left(page.app_channel_area, click_text)
# 2. 查找文章
de... | true |
d58bf663a696b16e35b1409eeb146466029c8398 | Tofuzhu/Python | /excecise/test9-6.py | UTF-8 | 1,297 | 3.515625 | 4 | [] | no_license | class Restaurant():
def __init__(self,restaurant_name,cuisine_type,number_served=0):
self.name=restaurant_name
self.cuisine=cuisine_type
self.number_served=number_served
def describe_restaurant(self):
print("This is a restaurant named "+self.name+".")
print("It's "+self.... | true |
571ae330b006ecbc156a8635c276e56b221e9839 | dmlc/gluon-cv | /gluoncv/nn/sampler.py | UTF-8 | 16,048 | 2.8125 | 3 | [
"Apache-2.0"
] | permissive | # pylint: disable=arguments-differ, unused-argument
"""Samplers for positive/negative/ignore sample selections.
This module is used to select samples during training.
Based on different strategies, we would like to choose different number of
samples as positive, negative or ignore(don't care). The purpose is to allevia... | true |
cc877c5153b26b5197b78daf0432c1bb0a0e87ed | cocacolabai/ExDark-dataset-to-COCO-format | /file_merged.py | UTF-8 | 1,022 | 2.9375 | 3 | [] | no_license | import os
import shutil
source_path = os.path.abspath(r'/home/shu-usv002/baiyunfer_file/Yolo-to-COCO-format-converter-master/Yolo-to-COCO-format-converter-master/ExDark/ExDark_Annno') # 源文件夹
target_path = os.path.abspath(r'/home/shu-usv002/baiyunfer_file/Yolo-to-COCO-format-converter-master/Yolo-to-COCO-format-conver... | true |
6df6ceab0bc886115d285ae2256d0a17700e9c66 | inyukwo1/CS224n-pytorch | /assignment3/model.py | UTF-8 | 913 | 2.578125 | 3 | [] | no_license | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
def take_loss(self, labels, preds):
raise NotImplementedError
def forward(self, *input):
raise NotImplementedError
d... | true |
5b9ea102a226f9b50a1fe1febc65e54a6b065f7f | kms70847/Advent-of-Code-2019 | /03/main.py | UTF-8 | 922 | 3.21875 | 3 | [] | no_license | import re
def manhattan(a,b=0):
return int(abs(a.real-b.real) + abs(a.imag-b.imag))
def get_points(directions):
p = 0
result = [p]
for segment in directions.split(","):
dirname = segment[0]
dist = int(segment[1:])
delta = 1j ** ("RDLU".index(dirname))
for _ in range(dis... | true |
a0cedf5151c0a1745e7dbd65b119d1e8a3ee81f6 | 0xch25/Human-Facial-Emotion-recognition-with-pulse-detection-using-CNN | /application/lib/emotions.py | UTF-8 | 2,095 | 2.6875 | 3 | [] | no_license | from keras.preprocessing.image import img_to_array
import cv2
from keras.models import load_model
import numpy as np
import os
class Emotions(object):
def __init__(self):
# model paths
self.emotion_model_path = os.path.dirname(os.path.abspath(__file__)) \
+ '/../../training/... | true |
0e369d4b1985992d8edf9f7d4fb7a532f1ae813c | MMourtada/code_questions_and_answers | /Array/image_rotation.py | UTF-8 | 958 | 3.8125 | 4 | [] | no_license | class Solution:
def rotate(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: void Do not return anything, modify matrix in-place instead.
"""
#Input is a list of lists representing rows of an nXn matrix
#Output is the 90-degree clockwise rotation of th... | true |
ec138dfa7c0fc8625479588378d31ccc513c8417 | terrencetjr24/CompSoc | /compSoc/pyLearn/test/test6.py | UTF-8 | 148 | 2.609375 | 3 | [] | no_license | #BEST
from sys import argv
#one, two, three = argv
print(argv)
#print("argument 1:", one)
#print("argyment 2", two)
#print("argument 3:", three)
| true |
b81511a6967c5b2d5930222692856cc8f7cb7d19 | nisckis/tuenti10 | /07/7.py | UTF-8 | 794 | 3.046875 | 3 | [] | no_license | import codecs
m = {} # Letter mapping
m["."] = "E"
m["y"] = "T"
m["d"] = "H"
m["r"] = "O"
m["u"] = "F"
m["a"] = "A"
m["b"] = "N"
m["e"] = "D"
m["c"] = "I"
m["p"] = "R"
m["k"] = "V"
m["n"] = "L"
m["x"] = "B"
m["o"] = "S"
m["m"] = "M"
m["f"] = "Y"
m["l"] = "P"
m["j"] = "C"
m["t"] = "K"
m[","] = "W"
m["i"] = "G"
m["g"] =... | true |
4db7e7d81388ad69624c4805ac19bbfd14576917 | eduardojdiniz/recurrent-whisperer | /Hyperparameters.py | UTF-8 | 20,983 | 3.0625 | 3 | [
"Apache-2.0"
] | permissive | '''
Hyperparameters.py
Version 1.0
Written using Python 2.7.12
@ Matt Golub, August 2018.
Please direct correspondence to mgolub@stanford.edu.
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import pdb
from copy import copy, deepcopy
imp... | true |
78a9d2bab229c84a011f8eb41c23008318e9f450 | andrewdollard/datacruncher | /node_file_scan.py | UTF-8 | 659 | 2.953125 | 3 | [] | no_license | from node import Node
class NodeFileScan(Node):
def __init__(self, filename):
super().__init__()
self.file = None
self.filename = filename
self.reset()
def next(self):
row = self.file.readline()
if row == '':
return None
row = row.strip().spl... | true |
18f7b172c3beae9c71fb0462362d9e7625d0edb7 | gurudarshan266/Perfuse | /Client/hash_utils.py | UTF-8 | 182 | 2.84375 | 3 | [] | no_license | #!/usr/bin/python
import hashlib
def compute_hash(s):
o = hashlib.sha1(s)
return o.hexdigest()
if __name__ == '__main__':
s = "GuruDarshan"
print compute_hash(s)
| true |
671d4d0d62f8605d9d2275b5a8fc614e31f088a9 | gabriellasaro/arquead-py | /arquead/__main__.py | UTF-8 | 675 | 2.796875 | 3 | [
"MIT"
] | permissive | import sys
from arquead.info import Info
from arquead.arquea import Arquea
info = Info()
print(info.get_release() + "\n")
if len(sys.argv) >= 2:
if sys.argv[1] == 'version':
print(info.get_release())
elif sys.argv[1] == 'help':
info.help()
elif sys.argv[1] == 'compatible':
info.sho... | true |
6e028c950689a9bc49d189e9e12c038248fec030 | ruwi/heart_activity_analizer | /plotter.py | UTF-8 | 6,552 | 2.8125 | 3 | [] | no_license | #!/usr/bin/python2
#-*- coding: utf-8 -*-
#
# Author: Wiktor Wolak
#
import sys
import argparse
from itertools import tee
import numpy as np
import pylab as plt
import base_parser
import validator
def get_data_by_time(data, T_min, T_max):
"""
Return data raws with time is between T_min, T_max
"""
... | true |
d110f6be3a1c97ab39c66990c8d5b04edbd6ab89 | AshtonIzmev/dataghobot | /dataghobot/models/SklearnOpt.py | UTF-8 | 2,290 | 2.671875 | 3 | [] | no_license | from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from GenericOpt import GenericOpt as Gopt
class SklearnOpt(Gopt):
@staticmethod
def build_model(... | true |
d401c9254359fe5204b98bbb30f8fcd3be5eea9d | hyoHhh/test | /day10/requestsss/request_all.py | UTF-8 | 1,703 | 2.59375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import requests
response=requests.get("http://www.baidu.com")
print(response.text) #网页文本
print(response.status_code)#状态
print(response.headers)#请求头
print(response.cookies) #cookie
print(response.content) # 网页内容
print(response.url) #链接
print(response.history) #链接
print(response.is_redirect)... | true |
aa2a872b351986a37e07817e56fb1acaba528d3d | siwangapple01/Python005-01 | /week05/redisCoutner.py | UTF-8 | 395 | 2.5625 | 3 | [] | no_license | import redis
import os
from datetime import datetime
client = redis.Redis(host=os.getenv("NASIP"), port=6379, decode_responses=True)
client.flushdb()
def counter(video_id: int):
client.incr(video_id)
return client.get(video_id)
def main():
print(counter(1001))
print(counter(1002))
print(counte... | true |
aa03d98f31c57111db87630aa88c96badd99f31d | shawngong/Euler_Project | /Eulerproject14.py | UTF-8 | 515 | 3.625 | 4 | [] | no_license | #Project Euler Problem 14
#Shawn Gong
def collatz(n):
count = 1
while n > 1:
count += 1
if n % 2 == 0:
n = n/2
else:
n = 3*n + 1
return count
def max():
greatest = 1
for i in xrange(1000000):
length = collatz(i)
if length > greatest:... | true |
261c395f832b445f24ee21f1d65be8a46be96617 | zhaofeng-shu33/pyBHC | /example/iris_clustering.py | UTF-8 | 1,699 | 2.734375 | 3 | [
"BSD-3-Clause"
] | permissive | '''example program to cluster iris data using hbc
pyBHC library not support python 3 currently
use python 2.7 to run this example script
have patience to wait for the results
'''
import numpy as np
from sklearn import datasets
from pyBHC import bhc
from pyBHC.dists import NormalInverseWishart
from scipy.cluste... | true |
39f7edc6b7082db8c628bd40b3997a3dd0fa0df1 | maayanalbert/104oncrack | /sketches/in-progress/emoji-gun/emoji-lib-generator/imgDownloader.py | UTF-8 | 694 | 2.703125 | 3 | [] | no_license | from selenium import webdriver
# import requests
from bs4 import BeautifulSoup
import time
from os import getcwd
link = "https://emojipedia.org/apple/"
driver = webdriver.PhantomJS(getcwd() + "/phantomjs")
driver.get(link)
lastHeight = driver.execute_script("return document.body.scrollHeight")
pause = 0.5
while Tru... | true |
0c8755c85970423a6330afde7db43b2e36b961cd | castodius/adventofcode | /2020/13/hard.py | UTF-8 | 325 | 2.953125 | 3 | [] | no_license | raw_input()
data = raw_input().strip().split(',')
data = [int(element) if element != 'x' else element for element in data]
curr = data[0]
multiplier = curr
for shift, value in enumerate(data[1:],1):
if value == 'x':
continue
while (curr + shift) % value != 0:
curr += multiplier
multiplier*=value
print ... | true |
46cc77f6103b6a154005ddc49ffb9cf7505a0612 | jakebruemmer/gcr-calculator | /gcr_calculator.py | UTF-8 | 946 | 3 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
class GCRCalculator:
def __init__(self):
self.GCR_CALCULATOR_URL = "http://www.gcmap.com/dist?P=%s&DU=%s&DM=&SG=&SU=%s"
self.__values = {
'SU': ['mph', 'kph'],
'DU': ['mi', 'km']
}
def calculate_distance(self, orig,... | true |
b60b6909064d7e81b75a7b7dc9f079bb35c8de1d | tlatimer/partCart | /pcCLI2.py | UTF-8 | 8,238 | 2.640625 | 3 | [] | no_license | import pcDB2
from tabulate import tabulate
import settings as s
from termcolor import colored
import os
os.system('color')
def printYLW(text):
print(colored(text, 'yellow'))
def prompt(text):
return input('{:>20}?'.format(text)).strip().upper()
def printAligned(left, right):
print('{:>20}:{}'.format(... | true |
43d611102e691218650bdaedf8475fc1d62df7b9 | ericf149/Practice_Projects | /Madelung_const.py | UTF-8 | 569 | 3.40625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 13 15:50:08 2021
@author: Eric
"""
from math import sqrt
def oddOrEven(i,j,k):
total = i + k + j
if total % 2 == 0: return 0
if total % 2 != 0: return 1
L=200
V=0
for i in range(-L,L):
for j in range(-L,L):
for k in range(-L,L):
if i... | true |
b2b06bc102795b3878d1600d5f87d882ef12c26e | Oukanina/tron-api-python | /tronapi/base/validation.py | UTF-8 | 1,553 | 2.96875 | 3 | [
"MIT"
] | permissive | # --------------------------------------------------------------------------------------------
# Copyright (c) iEXBase. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ----------------------------------------------------------------------------------... | true |
94f9f64cb8be6944471864e05d32b54d9d5d8232 | pldorini/python-exercises | /desafios/desafio 78.py | UTF-8 | 639 | 3.890625 | 4 | [] | no_license | numero = []
ma = me = 0
for c in range(0, 5):
numero.append(int(input(f'Digite um valor para a posição {c}: ')))
if c == 0:
ma = me = numero[c]
else:
if numero[c] > ma:
ma = numero[c]
elif numero[c] < me:
me = numero[c]
print('=-'*25)
print(f'Voce digitou os v... | true |
01772db62cc340dc1a7f6e19ccf8835d24ffec8f | stevelittlefish/easyforms | /easyforms/validate.py | UTF-8 | 2,215 | 3.296875 | 3 | [
"Apache-2.0"
] | permissive | """
This contains validation functions. Each of these functions takes the form value as a parameter, and returns
either an error message, or None if the value passes validation
"""
import logging
import datetime
from littlefish import validation
__author__ = 'Stephen Brown (Little Fish Solutions LTD)'
log = loggin... | true |
4652c5cf5104eca42e0695e99c88f186cfacc1d4 | jokwuobi/Portfolio-Optimization---Math441TermProject | /Python Files/parse_stock_list.py | UTF-8 | 2,298 | 2.59375 | 3 | [] | no_license | import csv
import sys
import pickle
import argparse
import datetime
import pandas as pd
import pandas_datareader.data as web
import pandas_datareader._utils as web_util
STOREFILENAME = 'stockdb.h5'
store = pd.HDFStore(STOREFILENAME, 'a')
beginning = datetime.datetime(1890, 1, 1)
list_of_symbols = []
def parse_list(fil... | true |
fa44aa920ca64a3462ea352e87190d5082ac695f | Warriorchief/CodeChallenges | /wordpuzzle.py | UTF-8 | 2,505 | 3.421875 | 3 | [] | no_license | def wordBoggle(board, words):
outs=[]
for word in words:
if doesWordAppear(board,word):
outs.append(word)
outs=sorted(outs)
print('the outs from the words',words,'are',outs)
return outs
def doesWordAppear(board,word):
if word=='AXAL':
return True
paths=[(i,j) for i in range(len(board)) fo... | true |
0f7b65c0364f83108776f68375b56c1c0ec0642a | minhvo-dev/Project-Euler-Solutions | /src/0055.py | UTF-8 | 748 | 3.796875 | 4 | [] | no_license | # How many Lychrel numbers are there below ten-thousand?
MAX_ITER = 50
def is_palindrome(n: int):
s = str(n)
return s == s[::-1]
def get_reverse_number(n: int):
s = str(n)
return int(s[::-1])
def no_math_solution(maxN: int):
global MAX_ITER
countLychrelNumber = 0
num = 1
while(num < ... | true |
1868ca765dcc7879933460515dcdc8c2b106ab41 | chenna-g/AlienVsShipgame | /button.py | UTF-8 | 928 | 2.90625 | 3 | [] | no_license | import pygame.font
class Button:
def __init__(self, screen, ai_settings, msg):
self.screen=screen
self.screen_rect=screen.get_rect()
self.width, self.height= 200, 50
self.button_color=(0, 255, 0)
self.text_color=(255, 255, 255)
self.font=pygame.font.SysFont(None,48)
... | true |
c3ef4ba2e239f46ed154d87880ddfa20c3817bf5 | koichiHik/prob_robotics | /stats/box_muller.py | UTF-8 | 2,132 | 3.21875 | 3 | [] | no_license |
import matplotlib.pyplot as plt
import numpy as np
import random
import math
class BoxMuller():
@staticmethod
def sample_norm_dist(avg=0.0, sigma=1.0):
x1 = random.random()
x2 = random.random()
y1 = math.sqrt(-2*math.log(x1)) * math.cos(2 * math.pi * x2)
y2 = math.sqrt(-2*math.log(x1)) * math.sin... | true |
36618c4789fbca9787a7f7e044f815c93e077794 | 8589/codes | /python/leetcode/array/3_Longest_Substring_Without_Repeating_Characters.py | UTF-8 | 1,660 | 3.046875 | 3 | [] | no_license | class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
if len(s) < 1: return 0
longest_set = s[0]
start_i, max_l = 0, 1
s += s[-1]
for i, c in enumerate(s[1:]):
if c in longest_set:
... | true |
25a5a2182440ef65a5c1ac213b599bd2b0708f64 | ErikaAlcantara/gauss_elimination_method | /src/interface.py | UTF-8 | 2,338 | 2.859375 | 3 | [] | no_license | import streamlit as st
import time
import numpy as np
import pandas as pd
from streamlit.server.server import Server
from gauss_p_pivoting import Gauss_partial_pivoting
st.title("Método da Eliminação de Gauss com Pivoteamento")
st.write("#")
st.header("Sistema")
st.write("#")
col1, col2, col3,col4,col5, col6 = st.... | true |
3d10ae10ee67eb29d0308fe14612a83c1e4a22c0 | kirilman/nir | /model.py | UTF-8 | 2,122 | 2.515625 | 3 | [] | no_license | from sequence_generator import Sequence
import numpy as np
import matplotlib.pyplot as plt
from pomegranate import *
import warnings
import time
s = Sequence(round(np.random.uniform(20,67)),['a','c','b','d','e','f','g'],type='period')
s = Sequence(250,['a','b','c','f'],type='period')
sequence = np.array(s.sequence).... | true |
b0760549817a93e6e0057d0da26407e26ded101a | amelialin/tuple-mudder | /Problems/frequent_words.py | UTF-8 | 2,050 | 4.28125 | 4 | [] | no_license | # Find the three most frequently occurring words in an article.
# Computational complexity of O(n), couldn't see anything here that would do
# anything other than scale linearly with the length of the string.
class InputError(Exception):
pass
def frequent_words(string):
"""Takes input as a string, returns set... | true |
5d9b485d3d16175fea4c7cfffd6ff1c243affde5 | abinashsinha330/DeepPhotAstro | /gru_emb_sd_mp/plain_rnn_train.py | UTF-8 | 7,852 | 2.6875 | 3 | [] | no_license | """
Python package to train plain GRU-based RNN model for light curve classification
"""
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import numpy as np
import random
import copy
import math
from keras.layers import *
from keras.models import Model, load_model
from keras.callbacks import Ea... | true |
052ebf218f6f616937abeade7ae6f504384d5c68 | AlexandreL1984/Py4e | /DictUpdateMethod.py | UTF-8 | 919 | 3.34375 | 3 | [] | no_license | #DictionaryUpdateMethod
model1 = {
"first": "Kenzia",
"last": "Fourati",
"hair": "brown",
"eyes": "blue"}
model2 = {
"first": "Kendall",
"last": "Jenner",
"hair": "brown",
"eyes": "brown"}
model3 = {
"first": "Hayley",
"last": "Atwell",
"hair": "blonde",
"eyes": "blue"... | true |
f1c1bc0466f546e329981eacf09fdddaa4f56eda | jorgekast18/Practica-1-OpenGl | /3D/esfera.py | UTF-8 | 3,032 | 3.40625 | 3 | [] | no_license | from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
from random import random
# ====================================================================
# FUNCIONES
#
#
# ====================================================================
# DATOS
# Nombre : Jorge A. Castanio, Seb... | true |
740db7761e00397de541c007147aa7bf53aeef3c | GayatriDPatil/PythonWeek1 | /Week1/List/RemoveDuplicates.py | UTF-8 | 182 | 3.28125 | 3 | [] | no_license | mylist = ["a","b","c","d","a","a"]
mylist = list(dict.fromkeys(mylist))
print(mylist)
#copy list
thislist = ["Gayu","Digu","divya","Yash"]
copylist = thislist.copy()
print(copylist) | true |
2c21c4b669840bd1833c34fbb5f3d0771256e5d0 | pesi1874/unit-test | /test.py | UTF-8 | 1,036 | 3.453125 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# import os
# import time
#
# for i in range(2):
# print('**********%d***********' % i)
# pid = os.fork()
# # print(pid)
# if pid == 0:
# # We are in the child process.
# print("%d (child) just was created by %d." % (os.getpid(), os.getppi... | true |
4b0044c8884213be3983581fdc14945fed856861 | Jeevanantham13/programizprograms | /swappingvariables.py | UTF-8 | 296 | 3.96875 | 4 | [] | no_license | #swapping the varaibles
a = int(input("enter the value of a:"))
b = int(input("enter the value of b:"))
temp = int(input ("enter the temporary variable:"))
print("the values of a and b are:",a,b)
temp = a
a = b
b = temp
print("the swapped varaibles of a and b are:",a,b)
| true |
5336734be27af55d602e15e8de964cc98ba542d3 | JeremyCurmi/ds-mpg | /feature_joiner.py | UTF-8 | 2,860 | 2.765625 | 3 | [] | no_license | import pandas as pd
from sklearn.pipeline import FeatureUnion
from sklearn.compose import ColumnTransformer
from df_transformer import DfTransformer
class FeatureUnioner(DfTransformer):
"""
Joins all dataframes coming from multiple transformers into one dataframe
"""
def __init__(self, transform... | true |
7c996e932038902e90a088026a9322ac63485873 | pelanmar1/ant-colony-optimization | /ants.py | UTF-8 | 6,986 | 2.765625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 16 13:30:57 2018
@author: PLANZAGOM
"""
import random
import numpy as np
import plot_graph
import matplotlib.pyplot as plt
class AntColony:
def __init__(self, graph, phero_mat, alpha, beta, rho):
self.graph = graph
self.phero_mat = phe... | true |
392a076c09533957ee657eafb6e8eea800045a3e | oldmalebird/webscraping | /爬取斗图网图片.py | UTF-8 | 1,175 | 2.65625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import os
import urllib
BASE_PAGE_URL = 'http://www.doutula.com/photo/list/?page='
PAGE_URL_LIST = [] #页面url
for i in range(1, 3):
url = BASE_PAGE_URL + str(i)
PAGE_URL_LIST.append(url)
print(PAGE_URL_LIST)
def download_img(url):
split_list = url.split('/')... | true |
7fa6fa90fbaf7ebffd095f5868c1d2585b0f949f | shijie-wu/crosslingual-nlp | /scripts/ace_align_util.py | UTF-8 | 1,589 | 3.15625 | 3 | [
"MIT"
] | permissive | # Read word alignments in Pharoah format.
# Inputs:
#
# 1. Tokenized src-tgt separated by ' ||| '
# Qld corruption reforms not enough : Greens ||| qld الاصلاحات الفساد ليست كافية : الخ
#
# 2. Word alignments in the Pharaoh format:
# 1-2 0-0 3-3 5-5 6-6 4-4 2-1
#
# Output: a list of "Alignment" objects. The ith item of... | true |
802929a26f343550c6e7096983597b0bee2d1c74 | gechevarria/trazak | /trazak_scan/devices_user_passwords.py | UTF-8 | 1,471 | 2.625 | 3 | [] | no_license | import csv
import database_access_trazak
def process_file_with_users_passwords():
rownum = 0
product = ""
vendor = ""
device_type = ""
user_password = ""
protocol = ""
with open('/home/trazak/Software/ICSecurity/scadapass.csv', 'rb') as csvfile:
csvReader = csv.reader(csvfile)
... | true |
ab759b90704fe04bbd4a3cb824ed4c1c880770e1 | hyang012/leetcode-algorithms-questions | /055. Jump Game/Jump_Game.py | UTF-8 | 1,476 | 3.71875 | 4 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Leetcode 55. Jump Game
Given an array of non-negative integers, you are initially positioned
at the first index of the array.
Each element in the array represents your maximum jump length at that
position.
Determine if you are able to reach the last index.
"""
def ... | true |
b288a9c885e4e0ba68b8d8a6e592c7cd20752595 | ElenaZhelezova/EpamPython2019 | /10-Design_Patterns/5-Abstract_Factory/abstract_factory.py | UTF-8 | 2,541 | 3.609375 | 4 | [] | no_license | """
Представьте, что вы пишите программу по формированию и выдачи комплексных обедов для сети столовых, которая стала
расширяться и теперь предлагает комплексные обеды для вегетарианцев, детей и любителей китайской кухни.
С помощью паттерна "Абстрактная фабрика" вам необходимо реализовать выдачу комплексного обеда, со... | true |
2801f367361d34de2393c4e6a0c30995e24fcdb2 | lordwarlock/kaggle_AI | /irmodule/FileProcess.py | UTF-8 | 5,936 | 2.546875 | 3 | [] | no_license | #encoding:utf8
import xml.etree.ElementTree as et
from itertools import takewhile, chain
from bs4 import BeautifulSoup,BeautifulStoneSoup
import urllib2
import re
import glob
import codecs
import os
import wikipedia
from urllib2 import urlopen
from wiki2plain import Wiki2Plain
def wiki_parser(raw):
wiki2plain = W... | true |
9dbf64d854960f991988a923066d136331ae201c | nobeans/deep-learning-from-scratch | /ch04/numerical_diff.py | UTF-8 | 487 | 3.84375 | 4 | [] | no_license | import numpy as np
import matplotlib.pylab as plt
def numerical_diff(f, x):
h = 1e-4 # 0.0001
return (f(x+h) - f(x-h)) / (2*h)
def function_1(x):
return 0.01*x**2 + 0.1*x
def gradient_function_1(x):
return 0.02*x + 0.1
x = np.arange(0.0, 20.0, 0.1)
y = function_1(x)
print(numerical_diff(function_1,... | true |
4c4fed3413cc04d2a377b79f355ef465f8508089 | ahmedaliyahia86/mahratech-python-basics | /Mahartech20.py | UTF-8 | 1,088 | 4.375 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 19 15:52:23 2020
@author: ahmedali
"""
# Python Collections: 1- Tuples
# 1- Tuples : Defining a Tuple
# * Defined by Parentheses ()
# * Items Separated By Commas ( 1, )
# * Contain any type of object
t=()
print(type(t))
tup = (1, 'C', 3, 'Num')
print... | true |
ae93bbb1999fcecc448f26458f123ed81f447bb8 | irina-nalivayko/Pyspark | /Task 4/Commerce.py | UTF-8 | 2,060 | 2.953125 | 3 | [] | no_license | from pyspark.sql import SparkSession
from pyspark.sql import Row
from pyspark.sql.window import Window
from pyspark.sql.functions import dense_rank
def load_data ():
global df_p
global df_oi
df_p = spark.read.load("sources/product.csv",format="csv", sep=";", inferSchema="true", header="true")
df_o... | true |
68072fce324f7ea63b558103a6c2888f7f27e869 | yxurrbzallkd/luckylab | /tic-tac-toe/btree.py | UTF-8 | 402 | 3.578125 | 4 | [] | no_license | class BinaryTree:
def __init__(self, root):
self.root = root
self.left_child = None
self.right_child = None
def insert_left(self, new_node):
if self.left_child is None:
self.left_child = BinaryTree(new_node)
def insert_right(self, new_node):
i... | true |
13262075751994b97999419f30a2d4342999424b | jw787/traffic-sign-recogize | /Classes_make_anno.py | UTF-8 | 2,117 | 2.875 | 3 | [] | no_license | #! /usr/bin/env python
# coding=utf-8
import os
import pandas as pd
from PIL import Image
class Classes_anno():
def __init__(self, root):
self.root = root
def make_anno(self):
PHASE = ['train', 'test']
KIND = [str(i).zfill(5) for i in range(62)]
DATA_INFO = {'train':{'path': [... | true |
a7cfaf6e4cc6625e466f0b04e59cafb67a7e9404 | green-fox-academy/nandormatyas | /week-03/day-02/write_multiple_lines.py | UTF-8 | 301 | 3.671875 | 4 | [] | no_license | def multiline_writer(path, word, number):
try:
fopen = open(path, 'w')
fopen.write((word + "\n") * number)
except:
print('unable to write file')
path = input('file? ')
word = input('Word? ')
number = int(input('Lines? '))
multiline_writer(path, word, number)
| true |
2735174a467fd6945800ab54814d8a5b61196ab9 | daniel-reich/ubiquitous-fiesta | /vaufKtjX3gKoq9PeS_8.py | UTF-8 | 224 | 2.671875 | 3 | [] | no_license |
def ohms_law(v, r, i):
l = [i for i in (v,r,i)]
if l.count(None) == 1:
if i == None:
return round(v/r,2)
elif r == None:
return v/i
elif v == None:
return r*i
else:
return "Invalid"
| true |
dc554e7ecca24d3cb42e948c2b64b5fedf514347 | gabriellaec/desoft-analise-exercicios | /backup/user_067/ch1_2020_03_26_23_26_19_749921.py | UTF-8 | 154 | 3.1875 | 3 | [] | no_license | def calcula_valor_devido(emprestimo, meses, taxa):
if meses > 0:
devido = float(emprestimo)*(1 + taxa^float(meses))
return devido
| true |
963a1ca91ad18d10f2f8b8181bde0630563c4c40 | yaminikanthch/Python-Work | /oops/random_print | UTF-8 | 119 | 2.84375 | 3 | [] | no_license | #!/usr/bin/python
from random import randint
map = []
for x in range(0,2):
map.append(randint(0, 2))
print map,
| true |
f7b6ddf4ac491727d4bd88b7443c0a2cc4703f01 | Sunil5990/demopygit | /PrimeNumber.py | UTF-8 | 184 | 3.984375 | 4 | [] | no_license | Num = int(input("Enter a number: "))
for i in range(2,Num//2):
if Num % i == 0:
print(Num, " is not a prime number")
break
else:
print(Num," is a prime number") | true |
8fa3f8030f3eb3482bbfe383a0dc94d471117b13 | yinjiayang/spiders | /yichewang/yichewang/spiders/yiche.py | UTF-8 | 1,495 | 2.515625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from yichewang.items import YichewangItem
class YicheSpider(CrawlSpider):
name = 'yiche'
allowed_domains = ['bitauto.com']
start_urls = ['http://car.bitauto.com/xuanyi/koubei/'... | true |
3d24045413d15ab49637217da558370c0846b4c4 | johnfial/pokemon | /pokemon/management/commands/load_pokemon.py | UTF-8 | 1,391 | 2.8125 | 3 | [] | no_license | import json
from django.core.management.base import BaseCommand
from ...models import Pokemon, Type
class Command(BaseCommand):
def handle(self, *args, **options):
# Clear existing Pokemon and Types
# Pokemon.objects.all().delete()
# Type.objects.all().delete()
# Open P... | true |
f73593fad88da17626cb6d7e96c6edf4073415a1 | andreystashev/python_base | /lesson_005/my_burger.py | UTF-8 | 342 | 2.859375 | 3 | [] | no_license | def bread():
print('кладем булочку')
def cutlet():
print('Добавим котлету')
def cucumber():
print('Добавим огурчик')
def tomato():
print('Добавим помидор')
def mayo():
print('Добавим майонез')
def cheese():
print('Добавим сыр')
| true |
8e4a617b96c02ca3aa8355d69c04cbefb2e169b1 | aevens/pytorch_conv_lib | /utils/mnist_downloader.py | UTF-8 | 2,032 | 2.671875 | 3 | [] | no_license | import sys
import requests
import numpy as np
np.random.seed(42)
import pandas as pd
import os
import idx2numpy
import gzip
import torch
torch.manual_seed(42)
def mnist_downloader():
train_features = "http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz"
train_labels = "http:... | true |
354f8ee2dffdcf0c3a151fa645c4d5094e896923 | polymorphm/inst-checker | /lib_inst_checker_2015_03_29/get_useragent_func.py | UTF-8 | 1,642 | 2.765625 | 3 | [] | no_license | # -*- mode: python; coding: utf-8 -*-
assert str is not bytes
from urllib import parse as url_parse
from urllib import request as url_request
import json
import random
USERAGENT_LIST_URL = 'https://getuseragent.blogspot.com/2014/03/getuseragent.html'
REQUEST_TIMEOUT = 60.0
REQUEST_READ_LIMIT = 10000000
def get_user... | true |
0d4bf8146f9a3849937dc1dd06d76fd1e90312da | xchk138/StereoSiamNet | /analyze_training.py | UTF-8 | 433 | 2.5625 | 3 | [
"MIT"
] | permissive | import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
fp = open('train.log', 'rt')
assert fp
lines = fp.read()
lines = lines.split('\n')
lines = list(filter(lambda x: len(x)==37, lines))
loss_ = [float(lines[i][-8:]) for i in range(len(lines))]
loss_ = np... | true |
35c7c6fb5176113009e95e471a0f5cab36c89725 | taejin0527/Algorithm | /BOJ/14226_이모티콘.py | UTF-8 | 1,056 | 3.328125 | 3 | [] | no_license | from collections import deque
def bfs(screen, clip):
queue = deque()
visited[screen][clip] = 0
queue.append((screen, clip))
while queue:
ts, tc = queue.popleft()
# 1 화면에 있는 이모티콘을 모두 복사해서 클립보드에 저장한다.
if ts < MAX and visited[ts][ts] == -1:
visited[ts][ts] = visited[... | true |
308c3fe9493bc79700e87dd5a10e68005a1fef22 | joakaw/PythonAGH | /Python1/python1_ex14.py | UTF-8 | 1,114 | 3.296875 | 3 | [] | no_license | import random
import numpy
def matrix_det(matrix):
matrix = numpy.array(matrix)
matrix_size = get_matrix_size(matrix)
if matrix_size == 2:
return min_matrix_det(matrix)
else:
det = 0
for i in range(matrix_size):
det = det + (pow(-1, i+2)*matrix[i][0]*matrix_det(get_... | true |
294f2e377284406d214fce72c14de65a5722c972 | DongusJr/Verkefni_HR_2019_Haust | /Lokapróf/isbn.py | UTF-8 | 1,333 | 4.40625 | 4 | [] | no_license | ISBN = "X-XXX-XXXXX-X" # The format of the ISBN, X represents digits and - are simply "-"
def check_if_valid(user_input):
''' Function that checks if the user number is a valid ISBN depending on how the constants ISBN is
returns True if the user number has the right format
returns False if the us... | true |
7bb8cef0a03fd337ad49815a6e5ad8abdef382ac | NGL91/datastructure_algorithm | /third_max_number.py | UTF-8 | 1,350 | 3.578125 | 4 | [] | no_license | '''
Given a non-empty array of integers, return the third maximum number in this array. If it does not exist, return the maximum number. The time complexity must be in O(n).
Example 1:
Input: [3, 2, 1]
Output: 1
Explanation: The third maximum is 1.
Example 2:
Input: [1, 2]
Output: 2
Explanation: The third maximum ... | true |
690561ab77156398ed7aba5fad3eddc162420cd9 | amaurirg/Tarefas-Macantes | /argparse/argparse_internet.py | UTF-8 | 605 | 3.59375 | 4 | [] | no_license | import argparse
# Use nargs to specify how many arguments an option should take.
ap = argparse.ArgumentParser()
ap.add_argument('-a', nargs=2)
ap.add_argument('-b', nargs=3)
ap.add_argument('-c', nargs=1)
# An illustration of how access the arguments.
opts = ap.parse_args('-a A1 A2 -b B1 B2 B3 -c C1'.split())
print(... | true |
a4232d9ab888eef9bf761309ab4972f03ecc1637 | cargillj/CTS_Realtime_Adapter | /parserMatt.py | UTF-8 | 332 | 2.625 | 3 | [] | no_license | import urllib2
stops = ['1', '2', '3', '4', '5', '6', '7']
response = urllib2.urlopen('http://www.corvallis-bus.appspot.com/arrivals?stops={stopID}').format(iterator)
apiresponse = response.read()
timesarray = apiresponse.split("Expected")
savefile = open("savefile.txt", "w")
savefile.write(timesarray[4])
print len(... | true |
9d5143178ad54e7edff2aa1da46389850ae1d680 | JayIvhen/StudyRepoPython2014 | /home_work/lesson6/MaxSubst.py | UTF-8 | 1,397 | 3.359375 | 3 | [
"Unlicense"
] | permissive | #!usr/bin/python
"""Max substring"""
# MaxSubst.py
# Home_work l6 UNEEX.ru
# Find MaxSubstring with unic letters
__author__ = "JayIvhen"
class blanck_string(Exception):
def __repr__(self):
return "String is empty"
def u_input():
while True:
try:
str = raw_input()
... | true |
2930cbde9d757e610a9065ae080a5307d0450dc1 | Zarro1008/groupLearning-Python-100-Days | /Day01-15/pratice_code/R_Day_09.py | UTF-8 | 5,746 | 4.21875 | 4 | [
"MIT"
] | permissive | '''
用 @property 封裝，用 getter 和 setter 取得資料和修改資料
'''
from abc import ABCMeta, abstractmethod
from time import time, localtime, sleep
from math import sqrt
class Person(object):
def __init__(self, name, age):
self._name = name
self._age = age
# getter 的作法
@property
def name(self):
... | true |
7d36c607b43d23e6250c4148051585ca87bcdc8b | opler/gsvCreater | /GSVCreator.py | UTF-8 | 825 | 3.140625 | 3 | [] | no_license | import zipfile
import os
import errno
def createDirectory(path):
try:
os.makedirs(path)
return True
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(path):
pass
else:
raise
return False
if __name__ == '__main__':... | true |
715d418763557c616e971ff626b6c7d8bfe520ea | hipala/where-is-my-stuff | /stuff list.py | UTF-8 | 1,896 | 3.015625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import time
import urllib
import requests
from bs4 import BeautifulSoup
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.86 Safari/537.36'
}
print "每頁商品清單"
user_input = raw_input('Search key word:')
item_link = "k={}&t=... | true |
d5d56d4e97599137952b515e48b094d306396eb1 | bappasahabapi/python-series-01 | /H14_Exerice.py | UTF-8 | 141 | 2.640625 | 3 | [] | no_license | # output: this is \\ backslah
print(" this is \\\\ backslah")
# output: this is \\ backslah
print("these are /\\/\\/\\/\\ mountains")
| true |
89292f7704d4e5b380723084184cc924f2cc2c78 | GB071957/Advent-of-Christmas | /Advent of Code problem 24 part 2 - lobby layout.py | UTF-8 | 4,032 | 3.109375 | 3 | [] | no_license | # Advent of Code problem 24 part 2 - Lobby Layout - Program by Greg Brinks
from timeit import default_timer as timeit
start= timeit()
import csv, copy
def flip(tiles):
new_layout = copy.deepcopy(tiles)
for row in range(0,len(tiles)):
for tile in range(0,len(tiles[row])):
black_count... | true |
9e59f8e7f7d8c4c49058651ca62f4461a7f0489a | agitter/OmicsIntegrator | /example/murineFib/build-murine-fib-matrix.py | UTF-8 | 674 | 2.515625 | 3 | [
"MIT",
"BSD-2-Clause"
] | permissive | #!/usr/local/bin/python
'''
This script will build a TF-binding matrix from murine fibroblast data, enabling you to analyze
any type of gene expression data
'''
__author__='Sara JG Gosline'
__email__='sgosline@mit.edu'
import os
from optparse import OptionParser
if __name__=='__main__':
parser=OptionParser()
... | true |