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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
1fd63ac653e827651f90ec864e2499acff8b18dd | Python | Skrilltrax/DS | /grokking-python/two_pointer/three_sum.py | UTF-8 | 1,033 | 3.515625 | 4 | [] | no_license | from typing import List
def three_sum(self, nums: List[int]) -> List[List[int]]:
length: int = len(nums)
triplets: List[List[int]] = []
# sort the array
nums.sort()
for i in range(length):
if i > 0 and nums[i] == nums[i - 1]:
continue
else:
find_triplets_f... | true |
4449cb49e7785146f2b0f42d1f85ffa36e6760dc | Python | Hermes777/sparse_class_rbm | /ClassRBMPy/loading_model.py | UTF-8 | 1,674 | 2.6875 | 3 | [] | no_license | import os
import pdb
import rbm
import numpy
def matrix_load(path):
fobj = open(path, 'r')
line = fobj.readline()
line = line.strip()
row = int(line.split("\t")[0])
col = int(line.split("\t")[1])
matrix = []
for i in range(0, row):
line = fobj.readline()
line = line.strip()... | true |
e2932240f611b70d20b0c549717eba4d3109352b | Python | Twangist/prelogging | /examples/use_library.py | UTF-8 | 2,493 | 2.796875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
__author__ = 'brianoneill'
import library
import logging
try:
import prelogging
except ImportError:
import sys
sys.path[0:0] = ['..'] # , '../..'
from prelogging import LCDict
def logging_config():
d = LCDict(attach_handlers_to_root=True) # LCDict default: =False
... | true |
db8c0ee56196a5d3de5f1aa70a30ab9c1afad660 | Python | qq851185223/IDDLncLoc | /lncloc/feature_extracting/CTD/feamodule/fickett.py | UTF-8 | 3,862 | 3.046875 | 3 | [] | no_license | #!/usr/bin/env python
'''the python script is downloaded from https://sourceforge.net/projects/rna-cpat/files/v1.2.2/'''
'''calculate coding potential'''
# Fickett TESTCODE data
# NAR 10(17) 5303-531
position_prob = {
'A': [0.94, 0.68, 0.84, 0.93, 0.58, 0.68, 0.45, 0.34, 0.20, 0.22],
'C': [0.80, 0.70, 0.70, 0.... | true |
a8b60a0f27843a84dcd5a3d54c6033a4e38dc8fe | Python | tradermichael/Python_Based | /project-2c-tradermichael/change.py | UTF-8 | 388 | 3.625 | 4 | [] | no_license | cents = int(input("Please enter an amount in cents less than a dollar.\n"))
quarters=cents//25
leftover=cents
leftover=(cents%25)
dimes = leftover//10
leftover=(leftover%10)
nickels = leftover//5
leftover = (leftover%5)
pennies = leftover
print("Your change will be:")
print("Q: "+str(quarters))
print("D: "+s... | true |
afea459e0ba5590c1bc49daa582c10fcdb6a9b18 | Python | erjan/coding_exercises | /bold_words_in_string.py | UTF-8 | 1,092 | 3.484375 | 3 | [
"Apache-2.0"
] | permissive | '''
Given an array of keywords words and a string s, make all appearances of all keywords words[i] in s bold. Any letters between <b> and </b> tags become bold.
Return s after adding the bold tags. The returned string should use the least number of tags possible, and the tags should form a valid combination.
'''
... | true |
a15ac89f6e744bea7bea79c3e165325239d3e15b | Python | Molo-M/Polygon-Area-Calculator | /Polygon Area Calculator.py | UTF-8 | 2,113 | 3.703125 | 4 | [] | no_license | class Rectangle:
def __init__(self, width, height):
self.width = width
self.height = height
self.area = 0
def set_width(self, width):
self.width = width
def set_height(self, height):
self.height = height
def get_area(self):
self.area = self.width * self... | true |
41a66a3f39416f186426126c00ba816d8ab6202b | Python | adeak/AoC2018 | /day09.py | UTF-8 | 1,073 | 3.484375 | 3 | [] | no_license | from itertools import cycle
from collections import deque
class Marbles(deque):
def moveclock(self, n=1):
self.rotate(-n)
def movecounter(self, n=1):
self.rotate(n)
def insertright(self, val):
self.moveclock()
self.appendleft(val)
def remove(self):
sel... | true |
3092a3d2c738c60acb8193d4ab4ccf8b82278a63 | Python | Rudya93/Python1 | /10.py | UTF-8 | 690 | 3.203125 | 3 | [] | no_license | # a = list()
# c =[]
a = input("Please input string: ")
# for i in (len(a)):
# b = input()
# b = (int(b))
# c.append(b)
b = a.count('a')
c = a.count('b')
d = a.count('c')
e = a.count('d')
f = a.count('e')
g = a.count('f')
l = a.count('g')
h = a.count('h')
m = a.count('l')
n = a.count('m')
o = a.count('n')
... | true |
f47bf4a9c0302bb8638ced921e6006a4241d2226 | Python | ttppggnnss/CodingNote | /2004/0410/boj 2661-2.py | UTF-8 | 482 | 2.796875 | 3 | [] | no_license | import sys
sys.stdin=open('../input.txt','r')
L=['1','2','3']
def f(n,c='',k=0):
global p
if p:
return
if k==n:
p=c
print(p)
return
else:
for i in L:
d=c+i
if g(d):
f(n,d,k+1)
else:
continue
def ... | true |
bfa629bcaf747f22f6d301080912d8ffae1ecc22 | Python | bsammor/machine-learning | /preprocess.py | UTF-8 | 7,256 | 3.234375 | 3 | [] | no_license | #-------------------------------------------------------------------------------
# This code is to preprocess the dataset from the below link:
# https://archive.ics.uci.edu/ml/datasets/Beijing+Multi-Site+Air-Quality+Data
#
# Before running this code, keep the downloaded dataset in a zip file
# in the same directo... | true |
f6d59a9d7bdef00ee744d5792e07163bbbd9b234 | Python | butteredcorn/agile-assignment-1 | /database.py | UTF-8 | 6,186 | 3.015625 | 3 | [] | no_license | import pickle
import importlib
import itertools
from operator import itemgetter
reminders = importlib.import_module('reminders')
constant = {
'empty_string': 0,
'first_id': 0,
'offset': 1,
'none': 0,
'increment': 1
}
# print(constant['empty_string'])
# print(constant['first_id'])
# print(constant... | true |
d56cdf365e00f1c2cd94d996fd155f22f6a94476 | Python | itomi/algorithms | /graphs/connected_components/connected.py | UTF-8 | 1,334 | 3.140625 | 3 | [] | no_license | import sys
class Graph:
def __init__(self):
self.nodes = set()
self.edges = set()
self.properties = []
def __repr__(self):
str = "nodes: "+repr(self.nodes)+"\n"
str += "edges: "+repr(self.edges)+"\n"
str += repr(self.properties)
return str
def connected_components_set(graph):
collections = set()
mar... | true |
4d21a80ca730c9db13c15559fb94d2101d9ca1ea | Python | ovbystrova/Infosearch | /Final project/preprocess.py | UTF-8 | 731 | 2.90625 | 3 | [] | no_license | import re
import pymorphy2 as pm
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
stopWords = set(stopwords.words('russian'))
morph = pm.MorphAnalyzer()
def preprocess(text):
"""Функция на вход получает текст и возвращает список нормализованных слов, без знаков пунктуации, без ... | true |
9814b0233d0960f9f4796e0ba2681a26ebc4460b | Python | ds-ga-1007/assignment7 | /hz1411/functions.py | UTF-8 | 2,719 | 3.6875 | 4 | [] | no_license | from exceptions import *
from interval import *
def isOverlapping(int1, int2):
''' check if 2 intervals are overlapping/adjacent so they can be merged '''
if int1.upper+1 == int2.lower and int1.bound_upper==']' and int2.bound_lower=='[':
return True
elif int2.upper+1 == int2.lower and int2.bound_u... | true |
fc031552672fe0d163a5272b5df1744f29b8cd89 | Python | masinogns/boj | /algorithm/2.Data_Structure_1/BOJ_basic_19.py | UTF-8 | 2,155 | 4.125 | 4 | [] | no_license | """
BOJ_basic_19 : 에디터 : BOJ 1406
https://www.acmicpc.net/board/view/11623
참고 자료.
스택을 2개로 구현하여 커서를 기준으로 왼쪽은 왼쪽 스택, 오른쪽은 오른쪽 스택으로 칭하여 푼다.
커서의 이동 시, 삭제 시 그리고 추가 시 행위는 각 스택의 pop과 push로 이루어진다.
이 때, 각 pop된 요소들은 push 요소로 들어갈 수도 있음을 명심하자.
print("".join(stackL.stack) + "".join(stackR.stack))
http://mwultong.blogspo... | true |
a3c1ea99c8fd6dc1d89b165a8e84df1a07536004 | Python | andva/advent | /2020/3/a.py | UTF-8 | 401 | 2.734375 | 3 | [] | no_license | import math
import numpy as np
def main():
f = open("input.txt")
i = 0
nHit = 0
for line in f:
nCols = len(line)
modL = list(line)
if line[i] == '#':
nHit += 1
modL[i] = "X"
else:
modL[i] = "0"
print("".join(modL))
i = ... | true |
3a0f042c06ef181633b962807331c4cad4a6a146 | Python | vral-parmar/Basic-Python-Programming | /Configuration_using_python/test.py | UTF-8 | 473 | 2.75 | 3 | [] | no_license | #import class
from configparser import ConfigParser
# create an instance of ConfigParser class.
parser = ConfigParser()
# read and parse the configuration file.
parser.read('Configuration_using_python/conf.ini')
['Configuration_using_python/conf.ini']
# get option value in specified section.
mysql_conn_host = parser.ge... | true |
8c2ca5692c6f57ea6822fda857c18b5ff1616cc3 | Python | jpinedaa/Box-Office-Prediction | /KNN_model.py | UTF-8 | 2,306 | 2.84375 | 3 | [] | no_license | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import itertools
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import mean_squared_error, r2_score
from sklearn import decomposition
from sklearn.model_selection i... | true |
6ec27a508c449122976f0b6eb6620ff92e527223 | Python | StephenWasntAvailable/CompSim18_19 | /Ising Project/Ising2018Alternate.py | UTF-8 | 1,557 | 2.859375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 31 21:22:36 2018
@author: Stephen
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy
import random
class IsingPointSimple:
"""Class representing each individual lattice point for the case of nearest neighbour interactions
and colinear spins, i... | true |
6887b0ef8101db348540c1a9afd1bbdbae83341d | Python | rgtjf/Semantic-Texual-Similarity-Toolkits | /stst/libs/kernel/tree.py | UTF-8 | 18,695 | 3.40625 | 3 | [
"MIT"
] | permissive | # coding: utf8
"""
A set of Classes to handle trees and compute kernel functions on them
"""
from __future__ import print_function
import random
import bisect
class TreeNode:
# A simple class for handling tree nodes
def __init__(self, val=None, chs=[]):
self.val = val # node label
self.chs = ... | true |
0d6764e7f042d4c24df7201cf03d613ca76f0c33 | Python | AfiqAmmar/Operating-System-Lab | /Lab 7/Sequential.py | UTF-8 | 1,483 | 3.59375 | 4 | [] | no_license | filelength = 50
files = [0]*filelength
for x in range(files.__len__()):
files[x] = 0
flag = 1
while flag == 1:
start = int(input("Please enter the starting block:"))
while (start<=0 or start>filelength):
if start<=0:
print("Please enter a positive number!")
if start>50:
... | true |
0ad25aad0dec558adc06f80596d2304f6cdd71e9 | Python | uni51/python_tutorial | /pyq/25_container/fast_data_dict/py3.py | UTF-8 | 471 | 4.1875 | 4 | [] | no_license | # イテラブルを返すメソッド
d = {'art': 1, 'box': 2, 'cup': 3}
# keys() : キーを要素とするイテラブルを返します。
print('keys:')
for k in d.keys():
print(k)
print()
# values() : 値を要素とするイテラブルを返します。
print('values:')
for v in d.values():
print(v)
print()
# itms() : キーと値のタプルを要素とするイテラブルを返します。
print('items:')
for k, v in d.items():
print(k, ... | true |
4e1d3034629934d1dd4d477ed81f342465db6bf7 | Python | KJSui/leetcode-2020 | /expressionAddOperations.py | UTF-8 | 1,055 | 3 | 3 | [] | no_license | class Solution:
def addOperators(self, num, target):
self.res = []
self.dfs(0, 0, 0, 0, [])
return self.res
def dfs(self, num, target, idx, prev, curr, value, string):
if idx == len(num):
if value == target and curr == 0:
self.res.append("".join(string... | true |
d052cbb994497d25f90d44df289a24b5777ac972 | Python | pulakanamnikitha/nikki | /37.py | UTF-8 | 77 | 2.6875 | 3 | [] | no_license | x,y=map(int,raw_input().split())
n1=int(x)
n2=int(y)
n1,n2=n2,n1
print n1,n2
| true |
8499c977f689e781c9716c2edcd965a684378c70 | Python | AlimiG/Euler | /609_pi_sequence.py | UTF-8 | 494 | 3.3125 | 3 | [] | no_license | def sieve(n):
is_prime = [True]*n
is_prime[0] = False
is_prime[1] = False
for i in range(2,int(n**0.5) +1):
index = i*2
while index < n:
is_prime[index] = False
index = index + i
prime = []
for i in range(n):
if is_prime[i] == True:
pri... | true |
894c3cff96caa1612132bd10913b31d5cdd3b3f9 | Python | hisyatokaku/Competition | /ABC/110/C.py | UTF-8 | 504 | 3.0625 | 3 | [] | no_license | S = input()
T = input()
c2pos=dict()
s_c2pos = dict()
for ix, c in enumerate(S):
if s_c2pos.get(c) == None:
s_c2pos[c] = [ix]
else:
s_c2pos[c].append(ix)
for ix, c in enumerate(T):
if c2pos.get(c) == None:
c2pos[c] = [ix]
else:
c2pos[c].append(ix)
res = "Yes"
for k, v... | true |
2c74253f08f6f1c1af1bbb46bf5c87991b2856a6 | Python | kimgs20/PyTorch | /torch_expand.py | UTF-8 | 748 | 3.625 | 4 | [] | no_license | '''
torch.repeat(*sizes)
copy tensor
torch.expand(*sizes)
same as repeat but can use only 1-dimension
'''
import torch
'''
# torch.repeat(*sizes)
x = torch.tensor([1, 2, 3])
x_42 = x.repeat(4, 2) # 4row 2column
print(x_42)
print(x_42.size()) # [4, 6]
x_421 = x.repeat(4, 2, 1)
print(x_421)
print(x_421.size()) # [4... | true |
bccc63db7d06a54bc5efb30cf4f4ccc3ae6301a8 | Python | NIU-Data-Science/CNN-exercise | /CNN_trainer.py | UTF-8 | 3,279 | 3.25 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 30 10:30:02 2018
@author: Dr. Mark M. Bailey | National Intelligence University
"""
"""
Usage notes:
This training script requires a file hierarchy as follows, which exists in the SAME directory as this script:
training_set
La... | true |
d11826f08424d9e45609674452a36426bb5eaa8a | Python | Kwangwoo94/pythonsource-vscode- | /beautifulsoup/clien2.py | UTF-8 | 834 | 3.03125 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import xlsx_write as excel
# clien 사이트의 팁과 강좌 게시판의 1 페이지 타이틀 크롤링
# https://www.clien.net/service/board/lecture
response = requests.get("https://www.clien.net/service/board/lecture")
soup = BeautifulSoup(response.content,'html.parser')
# 타이틀 찾기
titles = soup.select("spa... | true |
f32836b6e401c3ae84fb17e37bb925e82d382cfc | Python | AlexGumash/Big-Data-and-IKhiIAS | /lab2/stripes/formatOutput.py | UTF-8 | 746 | 2.890625 | 3 | [] | no_license | #!/usr/bin/python2
import pyhdfs
import ast, json
word = str(input("Your word: "))
count = int(input("Count: "))
fs = pyhdfs.HdfsClient(hosts='localhost:50070', user_name='bsbo228')
output = fs.open('/user/bsbo228/lab2/output/part-00000')
for line in output:
striped = line.strip().split("\t")
key = striped[0... | true |
b41e6282657cf98a17b8a2938b53f872cb2f88b9 | Python | diego-go/taller_python_PROTECO | /1er semana/paquetes/ConwayCPU-0.5/bin/ConwayCPU.py | UTF-8 | 7,505 | 3.234375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
"""Conway's Game of Life, drawn to the terminal care of the Blessings lib
A board is represented like this::
{(x, y): state,
...}
...where ``state`` is an int from 0..2 representing a color.
"""
from contextlib import nested
from itertools import chain
from random import randint
from ... | true |
f15483ab74e3c6abc5dab5787f532b9addf5a139 | Python | CyberAmiAsaf/Control-Conquer | /controlled/Conquested.py | UTF-8 | 5,708 | 2.921875 | 3 | [] | no_license | __author__ = 'Cyber-01'
import socket
import time
from PIL import ImageGrab
import multiprocessing
import win32api,win32con
import sys
SCREEN_PORT = 2346
MOUSE_PORT = 3456
KEYBOARD_PORT = 5678
SCREEN_DELAY_TIME = 0.05
SCREENSHOT_NAME = "scrn.png"
def screen():
"""
A function that takes screenshots through... | true |
261360b0c34e8b35583efb61e742c2c0415bb50e | Python | BrutalWinter/TF_tutorial | /2 Text generation with an RNN.py | UTF-8 | 6,226 | 3.71875 | 4 | [] | no_license | import tensorflow as tf
import numpy as np
import os
import time
path_to_file = tf.keras.utils.get_file('shakespeare.txt', 'https://storage.googleapis.com/download.tensorflow.org/data/shakespeare.txt')
# First, look in the text: Read, then decode for py2 compat.
text = open(path_to_file, 'rb').read().decode(encoding... | true |
3f77bb134a0b7c9fa8c02eac1254afab089a0e93 | Python | nrkn/SimpleRL | /python/SimpleRL.py | UTF-8 | 1,370 | 3.296875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import curses
MAP = [
'#### ####',
'# #### #',
'# #',
'## ##',
' # # ',
' # # ',
'## ##',
'# #',
'# #### #',
'#### ####',
]
KEY_QUIT = ord('q')
DIRECTIONS = {
curses.KEY_UP: (0, -1),
... | true |
c14dedc7a122dfed2206bf21ada4b16c14ff6ce3 | Python | Caatu/RASP-SERVER | /main.py | UTF-8 | 3,815 | 2.640625 | 3 | [] | no_license | #!/usr/bin/python3
import json, time, os, sys
import paho.mqtt.client as mqtt
import getpass
from dotenv import load_dotenv
from callbacks import *
from getsensors import *
from alerts import *
from time import sleep
def initializeConnection(username, password, client_id, broker, port):
"""
Create client ... | true |
5f2c258d6410016ffd1ed4092a9e99ef77b09db7 | Python | williamd4112/simple-svm | /plot.py | UTF-8 | 1,038 | 3.078125 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
def plot_decision_boundary(func, x_, t_, xo_, to_, xt_, tt_, h):
x_min = x_[:, 0].min()
x_max = x_[:, 0].max()
y_min = x_[:, 1].min()
y_max = x_[:, 1].max()
xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))
#Z = fun... | true |
c2515e376f5dec51ac5e3e80a65dbea30ffb81ef | Python | hotoku/samples | /python/asyncio/9.py | UTF-8 | 404 | 3.4375 | 3 | [] | no_license | """
asyncではない関数を並列実行するには、loop.run_in_executorを使う。
https://docs.python.org/ja/3/library/asyncio-eventloop.html
"""
import asyncio
from time import sleep
def f(n):
print(n)
sleep(1)
async def main():
loop = asyncio.get_event_loop()
await asyncio.gather(*[
loop.run_in_executor(None, f, i) for ... | true |
f6b19c8c329cd11f96082aabc0470bb4c2af2be2 | Python | Sandy4321/DigitalCircuits | /LogicExpression.py | UTF-8 | 8,734 | 3.390625 | 3 | [] | no_license | __author__ = 'multiangle'
class LogicExpression():
def __init__(self,expression):
"""
:param expression:
:return:
规定几种运算符号: 或运算 +
与运算 *或者没有
非运算 []
异或运算 #
ATTENTION:不区分大小写，统一按大... | true |
8137eae40cade66d01b751000dd8a4f4c87d3303 | Python | wsanchez/sample-klein-app | /src/sample_klein_app/application/test/unittest.py | UTF-8 | 1,385 | 2.71875 | 3 | [] | no_license | """
Extensions to :mod:`twisted.trial.unittest`
"""
from twisted.internet.defer import Deferred, ensureDeferred
from twisted.trial import unittest
__all__ = (
"TestCase",
)
class TestCase(unittest.SynchronousTestCase):
"""
A unit test. The atom of the unit testing universe.
This class extends :cla... | true |
248bbe17a6ed4ec00b97c83db17c1d4b5986bc9c | Python | somyungsub/kosta-pythonbasic | /day01/day01_6_1.py | UTF-8 | 223 | 3.8125 | 4 | [] | no_license |
# split
a = 'a-b-c-d-e-f-g'
print(a.split("-")) # 리스트로
print(",".join(a.split("-"))) # 리스트 -> 문자열로 합치기
print("".join(a.split("-"))) # 리스트 -> 문자열로 합치기
print(a) | true |
1cb94fe022a06b11504abe6c7d16151c2c2687d6 | Python | M-Bentley/Lab8 | /lab8.py | UTF-8 | 1,968 | 3.953125 | 4 | [] | no_license | import random
damageByMonster = random.randint(1,35)
personHealth = 100
monsterHealth = 100
punchDmg = 5
swordDmg = 10
fireball = 30
print 'A monster approaches! Prepare to fight!'
print '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~'
print 'You have 100 health'
print 'The monster has 100 health'
print '~~~~~~~~~~~~~~~~~~... | true |
cc9dbf8c013a092e6fe1b9c9bb481b576c5441df | Python | bguest/house-of-enlightenment | /python/effects/debugging_effects.py | UTF-8 | 1,833 | 2.515625 | 3 | [] | no_license | from hoe import color_utils
from hoe.animation_framework import Scene
from hoe.animation_framework import Effect
from hoe.state import STATE
class PrintOSC(Effect):
"""A effect layer that just prints OSC info when it changes"""
def next_frame(self, pixels, t, collaboration_state, osc_data):
if osc_da... | true |
2e29009d27298db662ab1143772b0e7371274863 | Python | akhilgeorge005/thesis | /lig_input_data.py | UTF-8 | 6,220 | 2.84375 | 3 | [] | no_license |
from sklearn.ensemble import RandomForestRegressor
def input_data():
# DEFINE CUSTOM MODEL TO INSERT INTO MODEL SELECTION LIST
#########################################################
# rfr = RandomForestRegressor(n_estimators = 750, verbose = 2)
#################################... | true |
35f370f03ed2d29aafb460a23c101b5ab02c52b0 | Python | sainihimanshu1999/Leetcode---Top-100-Liked-Questions | /mergeIntervals.py | UTF-8 | 326 | 2.75 | 3 | [] | no_license | def mergeintervals(self,intervals):
intervals = sorted(intervals, key= lambda x : x[0])
while i<len(intervals)-1:
if intervals[i][-1]>=intervals[i+1][0]:
intervals[i][-1] = max(intervals[i][-1],intervals[i+1][-1])
del intervals[i+1]
else:
i+=1
return int... | true |
c0386b438bfd84e69a9d3ede759ed42cf6464df8 | Python | paulinho-16/MIEIC-FPRO | /REs/RE11/OrdenarPorFunção/sort_by_f.py | UTF-8 | 82 | 3.078125 | 3 | [] | no_license | def sort_by_f(l):
l = sorted(l,key = lambda x: x if x<5 else 5-x)
return l | true |
998fff57bd5514a5db242896d7c32919db328bcb | Python | pjm0/slopefield | /slopefield.py | UTF-8 | 5,360 | 2.78125 | 3 | [] | no_license | #import pygame
from math import *
from random import choice
from time import sleep
import colors
##from screen import *
##screen_x, screen_y = screen.get_width(), screen.get_height()
from geometry import *
from agent import Agent
from avoid_border import avoid_border
SCALE = 15
opponent = choice(range(150, 774)), c... | true |
0a8b083a895514289a7142ea06ac1098f6237224 | Python | pjcv89/Python | /Notas/05-Módulos y paquetes/archivo1.py | UTF-8 | 102 | 3.015625 | 3 | [] | no_license | def mi_funcion(x):
return [numero for numero in range(x) if numero%2==0]
lista_1 = mi_funcion(11) | true |
a9b5780b5ceb7073ddbe6f32ee5f7590740a8ef3 | Python | BartoszSlesar/Python_Morsles_Exercises | /is_perfect_square/perfect_square.py | UTF-8 | 348 | 2.828125 | 3 | [] | no_license | import cmath
from decimal import *
def check_complex(val):
comp = cmath.sqrt(val)
return comp.real.is_integer() and comp.imag.is_integer()
def is_perfect_square(val,*,complex=False):
if complex:
return check_complex(val)
if val<0:
return False
b = Decimal(val).sqrt()
return Decim... | true |
b1468fb32de29471fafed8ac44effaf42f27ee7b | Python | artykbayevk/AdvancedAI | /train/train_LSTM_Twitter.py | UTF-8 | 1,922 | 2.75 | 3 | [] | no_license | # In[1]
import numpy as np
import pandas as pd
import pickle as pkl
from keras.models import Model
from keras.layers.embeddings import Embedding
from keras.preprocessing import sequence, text
from sklearn.preprocessing import OneHotEncoder
from keras.layers import Dense, Input, Dropout, LSTM, Bidirectional
# In[2]
tr... | true |
3e1238f02b6a9c90d1e0cb0cc16cf0043e320433 | Python | Kittyuzu1207/Leecode | /LCCI/0925M堆盘子.py | UTF-8 | 1,690 | 4.375 | 4 | [] | no_license | #堆盘子。设想有一堆盘子，堆太高可能会倒下来。因此，在现实生活中，盘子堆到一定高度时，我们就会另外堆一堆盘子。
#请实现数据结构SetOfStacks，模拟这种行为。SetOfStacks应该由多个栈组成，并且在前一个栈填满时新建一个栈。
#此外，SetOfStacks.push()和SetOfStacks.pop()应该与普通栈的操作方法相同（也就是说，pop()返回的值，应该跟只有一个栈时的情况一样）。
#进阶：实现一个popAt(int index)方法，根据指定的子栈，执行pop操作。
#当某个栈为空时，应当删除该栈。当栈中没有元素或不存在该栈时，pop，popAt 应返回 -1.
#用二维数组解决
class St... | true |
191f7a686dd6db458a4c02e6c2b63df0c0c81ff0 | Python | avflorea/openfda | /openfda-3/programa-server.py | UTF-8 | 3,821 | 2.890625 | 3 | [] | no_license | import socket
import http.client
import json
# Configuramos el servidor: IP, Puerto
IP = "127.0.0.1"
PORT = 8088
# Determinamos el maximo de peticiones que puede realizar el cliente
MAX_OPEN_REQUESTS = 5
headers = {'User-Agent': 'http-client'}
# Hacemos que el cliente se conecte con el servidor
conn = http.client.HTTP... | true |
64c706a212b431281af1c1a81cd04433adf8c340 | Python | AbdurRafay01/OS-Programming | /rough.py | UTF-8 | 631 | 3.078125 | 3 | [] | no_license |
list2 = [2,5, 11 , 15] # target = 6
target = 17
prev_value = dict()
index = 0
for i in range(len(list2)):
num = list2[i]
needval = target - num
if needval in prev_value:
print(prev_value[needval] , i)
prev_value[num] = i
#just checking git from atom
def twoSumHashing(num_arr, pair_sum):
h... | true |
8990725cf86a231af03fb774fac4e4ac0d88abfe | Python | ashjambhulkar/objectoriented | /LeetCodePremium/1031.maximum-sum-of-two-non-overlapping-subarrays.py | UTF-8 | 278 | 2.546875 | 3 | [] | no_license | #
# @lc app=leetcode id=1031 lang=python3
#
# [1031] Maximum Sum of Two Non-Overlapping Subarrays
#
# @lc code=start
class Solution:
def maxSumTwoNoOverlap(self, A, L, M):
# Solution().maxSumTwoNoOverlap([0, 6, 5, 2, 2, 5, 1, 9, 4],1,2)
# @lc code=end
| true |
204a0e5720dfc79884d4414647ebabfe64d77156 | Python | vishwesh5/HackerRank_Python | /Numpy_Challenges/mean_var_std.py | UTF-8 | 311 | 3.25 | 3 | [] | no_license | # mean_var_std.py
# Link: https://www.hackerrank.com/challenges/np-mean-var-and-std/problem
import numpy as np
A=[]
for i in range([int(i) for i in (input()).split(' ')][0]):
A.append([int(i) for i in (input()).split(' ')])
A = np.array(A)
print(np.mean(A,axis=1))
print(np.var(A,axis=0))
print(np.std(A))
| true |
bee0faabbe3ec0320a9f2d7616937e4fd6acff68 | Python | dzambranob/Proyecto-Discretas | /Generador_de_claves.py | UTF-8 | 1,505 | 4.28125 | 4 | [] | no_license | #Generador de claves
#Función para saber si el número es primo
def es_primo(n):
if (n==1):
return False
elif (n==2):
return True
else:
tope = int(n/2)+1
for i in range(2,tope):
if n%i == 0:
return False
return True
#Función para hallar M.C.D.
def mcd(a, b):
residuo = 0
while(... | true |
8b8001e2d1c7c3bb2d215a7569337a564e48b363 | Python | Guedelho/snake-ai | /constants.py | UTF-8 | 157 | 2.625 | 3 | [
"MIT"
] | permissive | # Directions
UP = 'UP'
DOWN = 'DOWN'
LEFT = 'LEFT'
RIGHT = 'RIGHT'
# Colors
RED = (255, 0, 0)
BLACK = (0, 0, 0)
GREEN = (0, 255, 0)
WHITE = (255, 255, 255)
| true |
a994e1d1b356eab9dd7cabb0af9821fdb0435dc0 | Python | mitchelloliveira/python-pdti | /Aula04_06082020/aula04_exe10.py | UTF-8 | 570 | 4.0625 | 4 | [] | no_license | # Curso de Python - PDTI-SENAC/RN
# Profº Weskley Bezerra
# Mitchell Oliveira
# 06/08/2020
# --------------------------------------------------------------
# Faça um Programa que leia dois vetores com 10 elementos cada. Gere um terceiro vetor de 20 elementos,
# cujos valores deverão ser compostos pelos elementos interc... | true |
09a3e61d0b170f31542f74cd2d5e50658028f309 | Python | wizDaia/backendschool2021 | /tests/orders_validator_tests.py | UTF-8 | 4,843 | 2.53125 | 3 | [
"MIT"
] | permissive | import unittest
from datetime import datetime
from unittest.mock import MagicMock
from jsonschema import ValidationError
from parameterized import parameterized
from application.data_validator import DataValidator
from tests.test_utils import read_data
class OrdersValidatorTests(unittest.TestCase):
@classmethod... | true |
5d58b47f708d132af358b6abfd0b121e506f4cfb | Python | rgrishigajra/Competitive-Problems | /Coding interview course/Two Pointers/Minimum Window Sort (medium).py | UTF-8 | 794 | 3.359375 | 3 | [] | no_license | import math as math
def shortest_window_sort(arr):
low = 0
print(arr)
while low < len(arr)-1 and arr[low+1] > arr[low]:
low += 1
if low == len(arr)-1:
return 0
high = len(arr)-1
while high > 0 and arr[high] > arr[high-1]:
high -= 1
mini = math.inf
maxi = -math.inf... | true |
63bc38d850ccfc4c017f4fe41ce8ae081df56989 | Python | mathvfx/Notebooks | /Python/data_structures/stack_and_queue/ADT_PriorityQueue.py | UTF-8 | 5,826 | 3.640625 | 4 | [] | no_license | #!env python3
#
# Alex Lim. 2020. https://mathvfx.github.io
# This Python code is intended as my own learning and programming exercises.
#
# REFERENCES and CREDITS:
# Goodrich et al, DATA STRUCTURES AND ALGORITHMS IN PYTHON (2013), Wiley
from abstract_base.PriorityQueue import PQBase
from ADT_ArrayBinaryTree impo... | true |
e68d8821329b22bbf54ae16c3206bddd17ac8c7b | Python | pyboost/poost-containers | /tests/test_turbolist.py | UTF-8 | 2,050 | 3.171875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# CONTRIBUTORS (sorted by surname)
# LUO, Pengkui <pengkui.luo@gmail.com>
#
#
# UPDATED ON
# 2013: 04/20, 04/21, 06/11
#
"""
Unit tests
"""
print('Executing %s' % __file__)
import unittest
from containers import TurboList
class Test_TurboList (unittest.TestCase):
... | true |
3afa36e597e1f0024ac3b7ee0c8fcefe67c9dd10 | Python | Hagai-Mozes/University-Python | /ex2.py | UTF-8 | 2,935 | 4.0625 | 4 | [] | no_license | """ Exercise #2. Python for Engineers."""
#########################################
# Question 1 - do not delete this comment
#########################################
a = 8 # Replace the assignment with a positive integer to test your code.
A = [12,4,0,8] # Replace the assignment with other lists to test your code... | true |
d1c955ed6dfd6926c64ef662062986d7603578b4 | Python | stevenhorsman/advent-of-code-2019 | /day-05/sunny_with_asteroids.py | UTF-8 | 617 | 3.515625 | 4 | [] | no_license | import sys
from ship_computer import ShipComputer
input_file = 'day-05/input.txt'
def part1(memory, input = 1):
memory = memory.split(",").copy()
ship_computer = ShipComputer(memory, input)
ship_computer.execute()
return ship_computer.get_output()
def part2(input):
pass
for noun in range(1, 1... | true |
e959db41a5647bdf3ec5d130be5896f61581f396 | Python | vaioco/sys2syz | /core/utils.py | UTF-8 | 3,418 | 2.703125 | 3 | [
"MIT",
"Apache-2.0"
] | permissive | # Module : Utils.py
# Description : Contains basic utility functions required for all modules
import os
import subprocess
import logging
import shutil
class Utils(object):
ENV_NONE = 0
def __init__(self, cwd):
self.cwd = cwd
@staticmethod
def file_exists(path, exit=False):
if os.path.... | true |
837f52eeeaf098923d406bc43cb783dc47236099 | Python | VladislavBannikov/py-adv_1.4.Decorators | /main.py | UTF-8 | 135 | 2.546875 | 3 | [] | no_license | from time_logger import logger_decorator_factory
@logger_decorator_factory('log.txt')
def add(a,b):
return a+b
print(add(4,5))
| true |
90568aa6d149e2e691f6ee7070bdc0d4ef6c47e9 | Python | regbrown99/PackingListGenerator | /PackingListGenerator/getWeather.py | UTF-8 | 5,827 | 3.4375 | 3 | [] | no_license | #! /usr/bin/python3
# getWeather.py - Prints the weather for a location from the command line.
def getWeather(zip_code, city, country):
"""This function retrieves weather from OpenWeatherMap.org's API for a given city or zip code.
This can be set up to retrieve current weather and/or a weather forecast."""
... | true |
4f574b66e9310fe514cd554f1c3c7db444808249 | Python | py1-10-2017/rgero215_PY1-10-2017 | /Store/store.py | UTF-8 | 3,127 | 3.328125 | 3 | [
"MIT-0"
] | permissive | class Store(object):
"""docstring for Store."""
def __init__(self, location, owner):
super(Store, self).__init__()
self.Product = []
self.location = location
self.owner = owner
def inventory(self):
count = 0
for product in self.Product:
count += ... | true |
f093853b72e1566842b6a1935b4b91aa09560e59 | Python | JARS29/RST_psychopy | /RST.py | UTF-8 | 2,823 | 3.03125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
from trials import *
experiment_session = 2
text_instructions = "Bem-vindo ao experimento\nA seguir, você vai encontar uma série de frases apresentadas em sequências de 2, 3, 4, 5, 6 sentenças (em ordem aleatória).\n" \
"Sua tarefa vai ser... | true |
54c98511504bebcd81766a448d2afbe7a2a9080a | Python | stehrenberg/HomeAutomation | /python_examples/python/demo_function.py | UTF-8 | 2,632 | 4.59375 | 5 | [] | no_license | # python function
# see also http://www.tutorialspoint.com/python/python_functions.htm
from __future__ import print_function, division
def SayHello(p_name):
"""This is the documentation string of the function.
The function prints 'Hello p_name!'
There is no return value."""
print("Hello ", p_na... | true |
2d9050a02ec16a8ef1066e5ac46424a881196c6c | Python | vais-ral/CCPi-Framework | /Wrappers/Python/cil/optimisation/algorithms/FISTA.py | UTF-8 | 4,048 | 2.90625 | 3 | [
"GPL-3.0-only",
"Apache-2.0"
] | permissive | # -*- coding: utf-8 -*-
# This work is part of the Core Imaging Library (CIL) developed by CCPi
# (Collaborative Computational Project in Tomographic Imaging), with
# substantial contributions by UKRI-STFC and University of Manchester.
# Licensed under the Apache License, Version 2.0 (the "License");
# you... | true |
254ada402b28d66fa13cde3e59209e464232714e | Python | Mulan-94/pyrewind | /pyrewind/pyrewind.py | UTF-8 | 5,764 | 2.828125 | 3 | [
"MIT"
] | permissive | #/usr/bin/python3
# Author: L. A. L. Andati
# Find infos at: https://wiki.python.org/moin/PyPIJSON
import logging
import requests
import sys
from argparse import ArgumentParser
from datetime import datetime
def get_release_dates(package):
# the pypi url including the dates
url = f"https://pypi.org/pypi/{pa... | true |
8e21b2511268c967bded8bfb81270be38a290556 | Python | kiraplenkin/Stepik_python | /1.5-Введение в классы-9.py | UTF-8 | 461 | 3.515625 | 4 | [] | no_license | class Buffer:
def __init__(self):
self.buf = []
def add(self, *a):
i = 0
while i < len(a):
self.buf.append(a[i])
if len(self.buf) >= 5:
self.sum = 0
for n in range(len(self.buf)):
self.sum += self.buf[n]
... | true |
6905a454932f60a0a1ba54a2c58c813a785ca1e5 | Python | Anmol6/DNGO-BO | /models/model_basis.py | UTF-8 | 2,618 | 2.671875 | 3 | [] | no_license | import tensorflow as tf
import numpy as np
'''
Specifies model used as basis function
for linear input-output mapping
'''
class BasisModel():
'''
initializes model specified here
'''
def __init__(self,dim_in,train_mode = True ):
self._dim_input = dim_in
dim_output = 1
... | true |
6da6d17b173138a4143282fc90b852d25972990b | Python | PavlovStanislav/Pytnon | /Lab_5.py | UTF-8 | 1,087 | 3.859375 | 4 | [] | no_license | from random import randint
import time
def dice_throw():
plr1_pts=0
plr2_pts=0
a = str(input("Input player 1 name: "))
b = str(input("Input player 2 name: "))
plr1=a[:]
plr2=b[:]
print(a)
print(b)
for i in range(1,6):
print("Next run, number: ", i)
... | true |
b22b59a28a68a7a78d5b8f42bccf12d75b3692d1 | Python | BNUCNL/FreeROI | /froi/widgets/clusterstatsdialog.py | UTF-8 | 4,118 | 2.53125 | 3 | [
"BSD-3-Clause"
] | permissive | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from ..interface import csv
class ClusterStatsDialog(QDialog):
"""A dialog for reporting cluster stats."""
def __init__(self, cluster_info, p... | true |
860abafbb77f08350559386668cf69827ac1f6ff | Python | K4liber/Parralel | /lab1/problem5.py | UTF-8 | 1,216 | 2.828125 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from mpl_toolkits.mplot3d import Axes3D
# Run: python3 problem5.py
df = pd.read_csv('problem5.csv',
names = [
"size", "time"
]
)
df2 = pd.read_csv('problem4.csv',
names = [
"size", "time"
]
)
df3 = pd.read_csv('pr... | true |
e21720bcbaa2eafc4da36d4ab789cbe38ca40122 | Python | itaditya/Python | /Practise/p1.py | UTF-8 | 213 | 3.40625 | 3 | [] | no_license | #!/usr/bin/env python3.4
def post_name(name):
name+=' Ghada'
return name
print('This program will assign some cool name to you')
name=input('\nEnter Your First Name\n')
name=post_name(name)
print('\n',name)
| true |
f6146e1988b9074a2d84fc6d2a83aa9187efabef | Python | JonathanSpiller/simpleajax | /home/views.py | UTF-8 | 364 | 2.515625 | 3 | [] | no_license | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from time import sleep
@login_required
def home(request):
return render(request, 'home/home.html')
def get_data(request):
sleep(1)
#fetch something from the database
car ... | true |
fb5c74851bfc4ef41f067823b8d31aafc6a4e1a5 | Python | anacampesan/typoglycemia_py | /typoglycemia.py | UTF-8 | 641 | 3.78125 | 4 | [] | no_license | import random
# in case you want the user to be able to enter his/her own text
# test = input()
text = "The mind's ability to decipher a mis-spelled word if the first and last letters of the word are correct."
def typoglycemia(text):
words = text.split()
result = []
for word in words:
if len(word... | true |
ae6ff8d73a4b517a425097454ec7cc9256c188a5 | Python | mattkim8/CSI | /Lab11.py | UTF-8 | 548 | 2.953125 | 3 | [] | no_license | #Lab 5
def read_file(x):
restaurants = dict()
try:
file_handle = open('restaurant.txt','r')
for line in file_handle:
stripped_line = line.rstrip()
split_line = stripped_line.split(',')
restaurants[split_line[2]] = (split_line[0],split_line[1],spli... | true |
0eaafaa406c08f0cc8a0f6435a6dfb0dbdd28608 | Python | 22pilarskil/ImageRecognition | /vectorizedNetwork.py | UTF-8 | 9,298 | 2.84375 | 3 | [] | no_license | import numpy as np
import random
import codecs
import matplotlib.pyplot as plt
import json
def displayImage(pixels, label = None):
figure = plt.gcf()
figure.canvas.set_window_title("Number display")
if label != None: plt.title("Label: \"{label}\"".format(label = label))
else: plt.title("No label")
plt.ims... | true |
7a00393af784af624b25405468c18d4d8bc57ccb | Python | sheric98/minimax_player | /chessWeb/util.py | UTF-8 | 2,007 | 2.671875 | 3 | [] | no_license | import math
import random
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
def sleep_random(start, end):
sleep_ti... | true |
96c20f030fabe6b36699c5d266b0a85a1752431f | Python | gugi200/project2021-UoB-ad20781 | /finding_resitance.py | UTF-8 | 936 | 3.296875 | 3 | [] | no_license | import math
res_value_1 = [100, 180, 270, 390, 680, 1000]
res_value_2 = res_value_1
res = []
res1 = []
ind = []
'''
((1/res_value_1)+1/res_value_2))**-1
resistance for all combinations in parallel
'''
r=0
for X in res_value_1:
c=0
for Y in res_value_2:
res.append(((1/X)+(1/Y))**-1)
index = (r, ... | true |
309e1b47612cd93678c9815352340f002ed0bcf0 | Python | amirgraily7/PDFMetadataExtractor | /py/box_phrase_candidate_finder.py | UTF-8 | 4,064 | 2.890625 | 3 | [] | no_license | from candidate import CandidateFinder, Candidate
import re
MAX_LENGTH = 10000
class BoxPhraseCandidateFinder(CandidateFinder):
"""Find candidates by presence of certain phrases in their box."""
def __init__(self, field, fid, phrases, candidate_lines,
bbox=None, min_height=0, max_height=MAX_LE... | true |
00e933ca78733095c4667986c19defe47fef890e | Python | anyeljm/ml_framework | /src/categorical_features.py | UTF-8 | 1,208 | 3.359375 | 3 | [] | no_license | import pandas as pd
from sklearn import preprocessing
class CategoricalFeatures():
"""
df: pandas DataFrame
categorical_features: list of columns to encode
encoding_type: str -> 'label' or 'ohe'
"""
def __init__(self, df, categorical_features, encoding_type):
self.df = df
self.... | true |
3c03c1d7ab2693f3cdc9b4cb2c17c0bfeaf0a2ba | Python | skang6283/algorithm_daily | /Programmers/이중우선순위큐.py | UTF-8 | 1,364 | 2.875 | 3 | [] | no_license | from heapq import *
def solution(operations):
deleted = set()
maxheap = []
minheap = []
for op in operations:
cmd, num = op.split(' ')
num = int(num)
if cmd == 'D':
if num == 1:
while True:
if maxheap:
a =... | true |
041c7cecb4f11bafd6833dc6f57185974d29b522 | Python | Aradhya910/numberguesser | /numberguesser.py | UTF-8 | 868 | 4.4375 | 4 | [] | no_license | import random
number = random.randint(1, 10)
player_name = input('What is your name? ')
number_of_guesses = 0
print('''Hello! ''' + player_name + " Let's start the game, Press W for instructions. " )
instructions = input('')
if instructions.upper() == 'W':
print(''' You have to guess a random number be... | true |
3c2853dbdcb212742d5e19304b6ff909a70a3507 | Python | guoshan45/guoshan-pyschool | /For Loops/03.py | UTF-8 | 137 | 3.03125 | 3 | [] | no_license | def generateNumber(start,end,step):
if step>0:
return range(start,end+1,step)
else:
return range(start,end,step) | true |
b582cac348c496d522347c9389bb77a8e735cb20 | Python | thesubquery/advent_of_code | /aoc.py | UTF-8 | 3,685 | 3.21875 | 3 | [
"Apache-2.0"
] | permissive | # Python Standard Library
import argparse
import os
import sys
from collections import Counter
# pypi
# local modules
def get_input(file):
with open(file, 'r') as f:
data = f.readlines()
data = [d.strip() for d in data]
return data
if __name__ == "__main__":
# Command line options
... | true |
b622cc6ebe4ae25eeb062ce015b711cea2d62871 | Python | zkatemor/thesaurus | /total_statistic.py | UTF-8 | 1,770 | 3.125 | 3 | [] | no_license | import json
def get_union(dict_first, dict_second):
union = []
for words_first in dict_first:
for words_second in dict_second:
if words_first == words_second:
if words_second not in union:
union.append(words_second)
elif words_first not ... | true |
6a0e2624aa02bf97922a7a1448c0665661affa95 | Python | tildesarecool/ReallyHadtoPython | /automate boring stuff/lesson 30 chapter 8 filenames and paths.py | UTF-8 | 6,923 | 3.4375 | 3 | [] | no_license | # filenames and absolute/relative file paths
# lesson 30 / chapter 8
# pages ??
#
# summmary
# ? = says group matches zero or one times
# * = zero or more times
# + = one or more times
# { } = match specific number of times
# { } w/ some number matches minimum and max number of times
# leaving out first or seond nu... | true |
879110f3e0fc99a0b3ed0f2c52621efe1bf0560f | Python | javenonly/stock | /src/old/GetTodayAll_N4.py | UTF-8 | 5,918 | 2.890625 | 3 | [] | no_license | #!/usr/bin/python
#coding:utf-8
import socket
import urllib
import tushare as ts
import pandas as pd
from time import sleep
import datetime
import tkinter
import tkinter.messagebox #这个是消息框，对话框的关键
#日期作为文件夹名字
var_date = '20180627'
#成交量的上涨比率
volume_up_rate = 1
#成交量的上涨比率开关
# volume_up_rate_lock = False
#最... | true |
f782ba01781cd158c663990d7e2a70f4e57affa9 | Python | Aasthaengg/IBMdataset | /Python_codes/p02682/s024029716.py | UTF-8 | 188 | 2.984375 | 3 | [] | no_license | import sys
readline = sys.stdin.buffer.readline
a,b,c,k =list(map(int,readline().rstrip().split()))
if k <= a:
print(k)
elif k > a and k <= a + b:
print(a)
else:
print(a -(k-(a+b)))
| true |
47419c023908c84574eef3512fed0cead95ff0ac | Python | rvrsh3ll/X-Commander | /x-commander.py | UTF-8 | 3,146 | 2.71875 | 3 | [
"BSD-3-Clause"
] | permissive | import mysqlx
import argparse
def Brute(target,targetport,user,password,passwordfile,stop,verbose):
with open(passwordfile, "r") as f:
# Set passwords variable
passwords = f.readlines()
# For each password, try to connect with these settings
for pwd in passwords:
try:
... | true |
5c64a4abfbd216eb89c925c392e4f7534b4487b3 | Python | 207772389/my_tp_shop | /page/page_add_pd.py | UTF-8 | 7,613 | 2.640625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
@Time ： 2021/8/5 16:31
@Auth ： cainiao
@File ：page_add_pd.py
@IDE ：PyCharm
@Motto：ABC(Always Be Coding)
"""
import page
from base.web_base import WebBase
from time import sleep
from tools.get_log import GetLog
log = GetLog.get_logger()
class PageAddPd(WebBase):
# 点击 新建
def addp... | true |
8f1faad7bde758452ef4d2a9d41f7ca9f9c97b66 | Python | uzzal71/python-fundamentals | /HelloWorld3.py | UTF-8 | 79 | 2.65625 | 3 | [
"MIT"
] | permissive | print('Hello World!')
print('Hello Human, What is your name?')
name = input()
| true |
ba84820b6fff6ab739a4482f03f2f7168e5b2b43 | Python | tamasCsontos/poker-player-game-on | /tests/test_game.py | UTF-8 | 2,138 | 2.53125 | 3 | [
"MIT"
] | permissive | import game
GAME_STATE_JSON = {
'tournament_id':'550d1d68cd7bd10003000003',
'game_id':'550da1cb2d909006e90004b1',
'round': 0,
'bet_index': 0,
'small_blind': 10,
'current_buy_in': 320,
'pot': 400,
'minimum_raise': 240,
'dealer': 1,
'orbits': 7,
'in_action': 1,
'players': [
{
... | true |
fb9d9e291dafd71cf2d08844016ed6956e9d36f1 | Python | ofekashery/Ovl-Python | /ovl/helpers/get_defined_functions.py | UTF-8 | 739 | 3.09375 | 3 | [
"Apache-2.0"
] | permissive | from inspect import getmembers, isfunction
def get_defined_methods():
"""
Returns a list of all available functions within the current_vision scope
:return: list of function object that are callable
"""
function_list = []
for module, module_object in globals().items():
for sub_object_... | true |
bffcd38ecdb78f19f9bce41c68f514358a200e5d | Python | jclarke100/PythonMapping | /ImportGPX.py | UTF-8 | 1,925 | 2.984375 | 3 | [] | no_license | """
Script to import all GPX tracks from a folder into a line feature class
in a file geodatabase. New line feature for each GPX file.
Generate linear density map of those lines to show where most tracks go.
Parameters:
1 - Path to source folder of GPX files
2 - Target feature class to which data is appended
... | true |