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 |
|---|---|---|---|---|---|---|---|---|---|---|
64d915718b35b9e99bb6d926e96ddc01c17ef4b0 | kamyu104/LeetCode-Solutions | /Python/longest-subsequence-repeated-k-times.py | UTF-8 | 1,373 | 3 | 3 | [
"MIT"
] | permissive | # Time: O(n * (n/k)!)
# Space: O(n)
import collections
class Solution(object):
def longestSubsequenceRepeatedK(self, s, k):
"""
:type s: str
:type k: int
:rtype: str
"""
def check(s, k, curr):
if not curr:
return True
i = 0
... | true |
ad90a6be6af5f11129263eb9c8370c87dc72d9f7 | pylaligand/advent_code_2020 | /02/main.py | UTF-8 | 1,291 | 3.328125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/python
import argparse
from collections import namedtuple
import re
Entry = namedtuple('Entry', ['password', 'char', 'ref_one', 'ref_two'])
def parse_entry(raw_entry):
pattern = '(\d+)-(\d+) (\w): (\w+)'
match = re.match(pattern, raw_entry)
if not match:
raise Exception('Could not pa... | true |
5d721be16da7b74a379df11d427c77c51b1a06ba | Henry-Benito/sudokuB | /unit_test/test_backtracking.py | UTF-8 | 1,743 | 2.890625 | 3 | [] | no_license | import unittest
import sys
sys.path.append("..\src\\algorithms")
from backtracking import Backtracking
class TestBacktracking(unittest.TestCase):
def setUp(self):
self.easy = "003020600900305001001806400008102900700000008006708200" + \
"002609500800203009005010300"
self.normal... | true |
34f739396243781f18277495ce098df151f85909 | YadaYuki/cracking-coding-interview-python | /3/animal-shelter.py | UTF-8 | 1,732 | 3.9375 | 4 | [] | no_license | #3.6
from linked_list import LinkedListUnidirectional,NodeUnidirectional
import random
CAT = 0
DOG = 1
class AnimalShelter:
def __init__(self):
self.data = LinkedListUnidirectional(CAT)
def enqueue(self,animal:int):
self.data.append_node(animal)
return
def dequeue_any(self):
... | true |
2219a67618b784db637800b665c008f98c7603c1 | HimaAppali/Python | /conditions.py | UTF-8 | 152 | 3.828125 | 4 | [] | no_license | n = int(input("Number: "))
print(n, type(n))
if n > 0:
print('n is +ve')
elif n < 0:
print('n is -ve')
else:
print('n is Zero')
| true |
580c6848475f4e3024ebc9e1d8aed69cde0874cb | jonathan-brezin/lit-lib | /libpy/lib/singleton.py | UTF-8 | 1,823 | 2.90625 | 3 | [] | no_license | import sysutils as su
def _copy(self):
msg = "'{}' is a singleton class: no copy allowed!"
raise AssertionError(msg.format(self.__class__.__name__))
def _deepcopy(self, memo):
msg = "'{}' is a singleton class: no deep copy allowed!"
raise AssertionError(msg.format(self.__class__.__name__))
def _i... | true |
610f1173683a649ff118fa60e1254d8e7228a2cc | vaijinath-waghmare/CS50_Python_Lecture01 | /python/functions.py | UTF-8 | 154 | 3.546875 | 4 | [] | no_license |
def square(x):
return x * x;
def main():
for i in range(11):
print("{} square is {}".format(i,square(i)));
if ( __name__ == "__main__"):
main() | true |
8d9e0699d2630a91d38ba58990d4bc8c97d3602b | ehliang/myo-unlock | /Myo_unlock.py | UTF-8 | 5,640 | 2.671875 | 3 | [
"MIT"
] | permissive | #This program takes simple input from the Mio to unlock a complex password string and log in to email
#Further developement would allow it to log into social media accounts/computerss
#A program by Ethan Liang
from __future__ import print_function
import myo as libmyo; libmyo.init()
import time
import sys
import smtp... | true |
9d6f87757cf2e81af5299e41de3d94f6004bcf7e | nguyenchithien/cs224s-accent-conversion | /tf/simple_feedforward.py | UTF-8 | 7,129 | 2.65625 | 3 | [] | no_license | from time import time, gmtime, strftime
import numpy as np
import os
import random
import matlab.engine
import scipy.io.wavfile as wav
from python_speech_features import mfcc
import tensorflow as tf
from utils.general_utils import get_minibatches, batch_multiply_by_matrix
from utils.fast_dtw import get_dtw_series
f... | true |
ffcb18fd01487418d8475e088f4ad38700c9cf30 | ClaudioSiqueira/Exercicios-Python | /Exercicios Python/ex012.py | UTF-8 | 295 | 3.234375 | 3 | [
"MIT"
] | permissive | preço = float(input('Qual é o preço do produto ? R$'))
desconto = float(input('Qual é a porcentagem do desconto ?'))
calculo = preço * desconto/100
final = preço - calculo
print('O produto que custava {} reais, fica por {} reias com o desconto de {}%'.format(preço, final, desconto))
| true |
981f07a20805d145d19b1472cc1560e4c327b36b | alexcatmu/CFGS_DAM | /PRIMERO/python/ejercicio50 aeropuertobien.py | UTF-8 | 711 | 2.65625 | 3 | [] | no_license | import os
#programa aeropuerto
#variables
frase = ""
frase2 = ""
fraseF = ""
i = 0
aux = 0
contador = 0
vuelta = False
#codigo
frase = "hola caracola"
contador = 0
while (True):
if (i ==len(frase)):
i = 0
aux = i
while (contador < len(frase)):
contador += 1
if (aux ... | true |
e551652ed8e37a764ce68a10747e3c29a3fe1e94 | lux182/instagram-scraper | /instagram_scraper/tests/test_instagram.py | UTF-8 | 1,796 | 2.71875 | 3 | [
"Unlicense"
] | permissive | import unittest
import os
import shutil
import tempfile
import requests_mock
from instagram_scraper import InstagramScraper
from instagram_scraper.constants import *
class InstagramTests(unittest.TestCase):
def setUp(self):
fixtures_path = os.path.join(os.path.dirname(__file__), 'fixtures')
self.r... | true |
b827f460a27979d417d1d07adbaebb57735681a4 | Mogg01/tutorials | /ml_containers/neuron_types.py | UTF-8 | 2,037 | 2.53125 | 3 | [] | no_license | # from tensorflow.keras import Model, Sequential
# from tensorflow.keras.layers import Dense, Flatten, InputLayer, Reshape
import numpy as np
from keras import Model, Sequential
from keras.layers import Dense, Flatten, InputLayer, Reshape, Conv2D
class PathNeuron(Model):
def __init__(self):
super(PathNeur... | true |
033c77ea9181e2d21648c092372b7e613bc9e7ce | bettybhzhou/InstaF_Python | /InstaF_Python/laplacian_edge_detecting.py | UTF-8 | 649 | 2.96875 | 3 | [
"MIT"
] | permissive | import numpy as np
import skimage.io
def laplacian_edge_detecting(input_image, output_image):
'''
Perform laplacian filtering on the image to get the secondary derivitive of the image matrix, based on the defined input path
Inputs
-----
input_path: string, path for an image file in .png format
... | true |
c6296b2aeae1bc2c321d0eb3e14bfc9e97127207 | jamesamrundle/Teaching-Code | /testturdle.py | UTF-8 | 5,458 | 3.421875 | 3 | [] | no_license | import turtle
### code for visual teaching tool for introductory coding skills
######### running as is, lets user draw simple rectagles for maps. clicking upper left corner and lower right corner to draw rectangle
###if map is drawn, and user uses original control methods (excluding forward) and created move(turtle,bl... | true |
a1104206bcd27bd31555df5ba6e643cf3bae9dee | akshat1198/keyTrace | /code.py | UTF-8 | 388 | 2.84375 | 3 | [] | no_license | import cv2
import matplotlib.pyplot as plt
image = cv2.imread('key.jpg')
key = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
#the following are filters, change the
#values to allow/block certain colors
min = (0, 0, 0)
max = (255,255,150)
filtered_key = cv2.inRange(key, min, max)
plt.subplot(1, 2, 1)
plt.imshow(key)
pl... | true |
42acac516372e9595c002a0c16c049878ac818f2 | Oloshka/PyLaTeX | /pylatex/table.py | UTF-8 | 1,866 | 3.28125 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
pylatex.table
~~~~~~~
This module implements the class that deals with tables.
:copyright: (c) 2014 by Jelte Fennema.
:license: MIT, see License for more details.
"""
from .utils import dumps_list
from .base_classes import BaseLaTeXContainer
from collections import Co... | true |
cc03d0e4c3875389940b9cfd28e661fdc6e1f627 | KratosMultiphysics/Kratos | /applications/FluidDynamicsApplication/python_scripts/symbolic_generation/compressible_navier_stokes/src/defines.py | UTF-8 | 1,157 | 3.0625 | 3 | [
"BSD-3-Clause"
] | permissive | import sympy
class CompressibleNavierStokesDefines:
matrix_format = None
vector_format = None
@classmethod
def SetFormat(cls, language):
formats = {
'python': ("{name}[{i},{j}]", "{name}[{i}]"),
'c' : ("{name}({i},{j})", "{name}({i})")
}
if language... | true |
171df28127032ea9f3106367920bf28bde0f26b9 | teamzz111/Python-Solutionary | /CHAPTER-1/Python overview - pg 14/5.py | UTF-8 | 251 | 3.578125 | 4 | [
"Unlicense"
] | permissive | # How many years would it take to travel to Andromeda Galaxy
# Var declarations
andromeda_away = 2900000.0
light_year_perMile = 5.878 * 10 ** 12
# Code
away_mile = andromeda_away * light_year_perMile
result = away_mile / 65
# Result
print(result)
| true |
fde0d890c9c76b75a47170f0e0f3e265745d5c91 | fewtrem/NeuralModels | /Core/STDPPlotter.py | UTF-8 | 641 | 3.296875 | 3 | [] | no_license | '''
Created on 18 Feb 2016
@author: s1144899
'''
import numpy as np, math
def STDPDist(x,beta):
#return x/(5*np.power(x,2)+1)
# Old function (too symetrical peak)
#return x*np.power(np.e,-beta*x*x)
return x*np.power(np.e,-beta*np.power(np.abs(x),0.5))
import matplotlib.pyplot as plt
def addToPlot(... | true |
e3752eed4011d883e65e71049582037431a7fba8 | LittleBitApps/WiFi-led-control | /Example_server_Flask/post_request_trial.py | UTF-8 | 151 | 2.5625 | 3 | [] | no_license | import requests
r = requests.post("http://localhost:5000/color", data={'color': "ff45ff"})
print(r.status_code, r.reason)
print(r.text[:300] + '...')
| true |
50ce0085c6fac6e305b889f37211e7fc7107feed | hacktoolkit/code_challenges | /companies/facebook/smallworld/smallworld2.py | UTF-8 | 4,192 | 3.53125 | 4 | [
"MIT"
] | permissive | """
smallworld2.py
author: Jonathan Tsai <hello@jontsai.com>
date: 2009.04.23
Facebook Engineering Puzzle - It's A Small World
Usage: python smallworld2.py FILE
This problem is a k-Nearest Neighbor problem
This file uses a straightforward, O(n^2) approach
"""
import sys
import getopt
class Usage(... | true |
bdec30d3b252e04335e00d0ab2b52d3472ecb402 | zhangjinqiaoSimon/alien_invasion | /coreboard.py | UTF-8 | 2,199 | 3.15625 | 3 | [] | no_license | import pygame.font
from pygame.sprite import Group
from ship import Ship
class Scoreboard():
def __init__(self,ai_settings,screen,stats):
#初始化显示得分涉及的属性
self.screen = screen
self.screen_rect = screen.get_rect()
self.ai_settings = ai_settings
self.stats = stats
#设置显示得分的字体和颜色
self.text_color = (30,30,30... | true |
0aa12786bc85fcda3c1fc43d60aee364d2b7ec90 | seeseeatre/RL_Covering_Path | /gym-master/gym/envs/box2d/test_car_racing.py | UTF-8 | 967 | 2.59375 | 3 | [
"MIT"
] | permissive | import os
import shutil
from gym.envs.box2d.car_racing import CarRacing
def manual_check_of_not_allowing_touching_tracks():
path = './touching_tracks_tests'
# Check if dir exists TODO
if os.path.isdir(path):
# Remove files TODO
shutil.rmtree(path)
# Create dir TODO
os.mkdir(path)
... | true |
e245b98f2439c00a5e2b63d05912f92bf76b9501 | nupurkmr9/compare_gan | /compare_gan/architectures/aux_network.py | UTF-8 | 3,375 | 2.53125 | 3 | [
"Apache-2.0"
] | permissive | """Implementation of auxiliary network."""
from compare_gan.architectures.abstract_arch import _Module
from compare_gan.architectures.arch_ops import linear
import tensorflow as tf
# Non-Linear 2 layer MLP Network
class Aux_Network_v1(_Module):
"""Aux Network architecture"""
def __init__(self, name="aux_network... | true |
ede3108eff662b6a26fca69d02107af58b9e18c4 | zhouyangpkuer/simdbatch-memory | /traffic/latency_batchsize.py | UTF-8 | 678 | 2.59375 | 3 | [] | no_license |
f_raw = open("latency_batchsize_raw.dat", "r")
f_draw = open("latency_batchsize.txt", "w")
# batchsize = [32, 64, 128, 256, 512, 768, 1024, 1280, 1536, 1792, 2048]
for i in xrange(0,7):
a = 0.0
b = 0.0
c = 0.0
d = 0.0
l = f_raw.readline().split()
l = f_raw.readline().split()
l = f_raw.readline().split()
a ... | true |
f87529622dc4d14906cdf6d1e1b4904495dea917 | taowangtu/scrapingDemo | /scrapingDemo/bs_decode_demo.py | UTF-8 | 349 | 2.9375 | 3 | [] | no_license | """
使用BeautifulSoup和python3.x对文档进行utf-8编码
"""
from bs4 import BeautifulSoup
from urllib.request import urlopen
bsObj=BeautifulSoup(urlopen("https://en.wikipedia.org/wiki/Python"),"lxml")
content=bsObj.find("div",{"id":"mw-content-text"}).get_text()
content=bytes(content,"UTF-8")
content=content.decode("utf-8")
print(... | true |
113efe4e2209a2e4070919aaabdb3a4e5e3f42aa | insight-infrastructure/nukikata | /tests/render/test_default_extensions.py | UTF-8 | 2,432 | 2.5625 | 3 | [
"BSD-3-Clause"
] | permissive | """Verify Jinja2 filters/extensions are available from pre-gen/post-gen hooks."""
import os
import freezegun
import pytest
from cookiecutter.main import cookiecutter
@pytest.fixture(autouse=True)
def freeze():
"""Fixture. Make time stating during all tests in this file."""
freezer = freezegun.freeze_time("2... | true |
783dd1efcbaa72bee0b7599e41bad74577b60a63 | etal/cnvkit | /skgenome/tabio/tab.py | UTF-8 | 935 | 3.390625 | 3 | [
"Apache-2.0"
] | permissive | """I/O for tab-delimited format with an initial header row.
Column names match the target class attributes. At least "chromosome", "start",
and "end" are required.
"""
import logging
import pandas as pd
def read_tab(infile):
"""Read tab-separated data with column names in the first row.
The format is BED-l... | true |
ddfc58bdafbb989871712c43003b2ff73d5d1de7 | whisperH/AlgorithmsAndMeachineLearning | /RecursionAndDivision/divideInteger.py | UTF-8 | 2,885 | 3.734375 | 4 | [] | no_license | '''
整数划分问题：
n：需要划分的正数
maxAddFactory：划分因子中数值最大的因子
a.=========================m无限制==============================
1.当 n 或者 maxAddFactory 有一个小于1时，该问题无法划分，0种组合。
2.当 n 或者 maxAddFactory 有一个为1时，就只有一种可能，即全由 1 组成
3.当 n < maxAddFactory 时，此时最大的划分因子为 n 而非 maxAddFactory
4.当 n = maxAddFactory 时，4.1 + 4.2 的结果
4.1... | true |
3f733a267bef50992b04e1e09f2f193ddaaf97d5 | Kauko/kiigameEditorServer | /server.py | UTF-8 | 9,239 | 2.765625 | 3 | [
"BSD-3-Clause"
] | permissive | import os
from flask import (Flask, request, send_from_directory,
abort, jsonify, render_template)
from werkzeug import secure_filename
VERBOSE = True
UPLOAD_FOLDER = 'static/uploads'
# Folder where resources that are shared between all games are stored
COMMONS_FOLDER = 'static/commons'
JAVASCRIPT_F... | true |
27422f1b804997d5463260790f8f79c0a2c79a9b | jjrsoong/warmup_project | /scripts/wall_follower.py | UTF-8 | 4,065 | 3.1875 | 3 | [] | no_license | #!/usr/bin/env python3
import rospy
#msg needed for /scan
from sensor_msgs.msg import LaserScan
# msgs needed for /cmd cmd_vel
from geometry_msgs.msg import Twist
from geometry_msgs.msg import Vector3
from math import radians
# How close we will get to wall.
distance = 0.5
class WallFollower(object):
def __in... | true |
a1c757acbb70adeb368811efec32b5100da2d17a | daigoor/devi | /control.py | UTF-8 | 1,194 | 2.96875 | 3 | [] | no_license | #!/usr/bin/env python
"""control.py: controls all the movements of the vehicle & camera motors."""
__author__ = "DaiGooR"
__copyright__ = "Copyright 2019, DaiGooR"
import constants
import controls.vehicle as vehicle
import controls.camera as camera
class Vehicle():
def move(self, direction, movement):
... | true |
2699363467c427f897df7f8738b8198f55a9e0d0 | bopopescu/Python-13 | /Bibliotecas-Python/tkinter - João ribeiro/015 - definir e alterar propriedades de um label.py | UTF-8 | 1,216 | 3.484375 | 3 | [] | no_license | from tkinter import *
def fun(n):
if n:
label2['text'] = 'Acionei a função'
label2['font'] = 'Cambria 20'
for item in label2.keys():
print(item, ' : ', label2[item])
else:
label2['text'] = 'frase de teste'
label2['font'] = 'Calibri 20'
for item in la... | true |
0fb17c5221e38882f722ccaa3187e2e376673416 | mcclosr5/Python-code | /count_102.py | UTF-8 | 152 | 3.328125 | 3 | [] | no_license | #!/usr/bin/env python3
def count_letters(s):
if len(s) == 0:
return 0
else:
return len(s) + count_letters(s[len(s):])
| true |
7f2c47610942ac2f09195710835114946ac36196 | JadeHendricks/learn-python | /variables-and-datatypes.py | UTF-8 | 301 | 3.734375 | 4 | [] | no_license | character_name = "John"
character_age = 35
is_Male = True
print('There once was a man named' + character_name + ', ')
print('he was ' + character_age + ' years old. ')
character_name = "Mike"
print('He really liked the name ' + character_name + ', ')
print('but didnt like being ' + character_age) | true |
62490e10ec74a64605a26b5be52501e1a186f678 | 13leaf/exercises | /leetcode/python/easy/isomorphic_strings.py | UTF-8 | 561 | 3.390625 | 3 | [] | no_license | #https://leetcode.com/problems/isomorphic-strings/
class Solution(object):
def isIsomorphic(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
def compilePattern(s):
containChars = {}
i = 0
pattern = []
for x in... | true |
e663676d65454d628e84305a240f9a8d42188e33 | missmaelyss/npuzzle | /npuzzle.py | UTF-8 | 14,228 | 3.0625 | 3 | [] | no_license | #!/usr/bin/env python
# -*-coding:Utf-8 -*
import pickle
from tkinter import *
from collections import OrderedDict
import time
class variable:
def __init__(self, val):
self.variable = val
def Change(self, newVal):
self.variable = newVal
def Add(self, add):
self.variable += add
def Int(self):
retu... | true |
4e8fcd9e7e250a20d7d055dd2a13f8fc9ffe1887 | mack/machine-learning | /NN/inputs.py | UTF-8 | 557 | 2.953125 | 3 | [] | no_license | import graph
class placeholder(object):
"""
Represents a placeholder input node
thats provided a value when computing output of a graph
"""
def __init__(self):
self.consumers = []
# add to global var _default_graph
graph._default_graph.placeholders.append(self)
class Varia... | true |
96cfa639ea53aa7f010bba56912e811fc0a11982 | armaanhammer/pseduo-IRC | /scratch/second test/tms.py | UTF-8 | 2,322 | 3.03125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# simple illustration client/server pair; client program sends a string
# to server, which echoes it back to the client (in multiple copies),
# and the latter prints to the screen
# this is the server
import argparse
import socket
import sys
print ('script started')
stored_exception=None
de... | true |
d7ccc4e1884687825bb6a936e902f2697580a157 | JohnVanNote/heap-pqueue | /make_heap.py | UTF-8 | 225 | 2.921875 | 3 | [] | no_license | #!/usr/bin/env python
class Heap:
def __init__( self ):
self.heap = []
def __init__( self, heap ):
if heap == [] or None:
self.heap = []
return
for items in heap:
self.heap.insert( items )
| true |
41dd8df6f59da6709d6ecbfc2eff68cbdc78ce84 | lucasSaavedra123/informaticaGeneral | /Practica/Practica 6/Ejercicio 6.py | UTF-8 | 795 | 3.484375 | 3 | [] | no_license | def validacion(n):
while not n - int(n) == 0:
n = float(input("ERROR!:"))
return int(n)
def ordenarLst(lst):
for i in range(len(lst)):
for ix in range(len(lst)):
if lst[i] < lst[ix]:
memoria = lst[i]
lst[i] = lst[ix]
... | true |
2c36d2e38eff1e28f25d620dfd0edeecf01d37c3 | zjj609/ProjectEulerPractices | /before50/p41.py | UTF-8 | 420 | 3.203125 | 3 | [] | no_license | '''
lis = {}
n = 1000000000
for i in xrange(2,n):
print i
if not i in lis:
lis[i] = 1
k = i*2
while k < n:
lis[k] = 0
k += i
print k
'''
import math
def IsPrime(a):
if a <= 1:
return False
for i in xrange(2,int(math.sqrt(a)) + 1):
if a % i == 0:
return False
return True
for x in xrange(7654... | true |
e88af57f0a07787f5a9cab3ec79e9e0707406ac8 | maoxx241/code | /Sort_Colors/Sort_Colors.py | UTF-8 | 986 | 3.125 | 3 | [] | no_license | class Solution:
def sortColors(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
# count=[0,0,0]
# for num in nums:
# count[num]+=1
# count[1]+=count[0]
# count[2]+=count[1]
# ... | true |
0ebe9aea0ed5c87df0b4ce55fc9a8e6f961515fb | wilsonvetdev/IS211_Assignment9 | /nfl_spreads.py | UTF-8 | 408 | 2.90625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
from pprint import pprint
if __name__ == '__main__':
url = 'http://www.footballlocks.com/nfl_point_spreads.shtml'
page_response = requests.get(url)
page = page_response.content
soup = BeautifulSoup(page, 'html.parser')
table_rows = soup.selec... | true |
f7630c73d45f099a918d4f0b8c3356a17b28f289 | supamunkey/Competitive-Programming | /src/codewars/python/PokemonGoBeta.py | UTF-8 | 1,299 | 3.25 | 3 | [] | no_license | def pidgeyToCandy(pidgey, candy):
pass
def pidgeyCalc(pidgey, candy):
expSum = 0
if candy < 12:
candy_needed = 12 - candy
if pidgey > candy_needed:
candy += candy_needed
pidgey -= candy_needed
print "There was a difficiency from the start"
p... | true |
84a9fe84ca8cca57324509fd71dd7239ca39d62a | gugarosa/opytimizer | /examples/math/general_purpose.py | UTF-8 | 375 | 3.171875 | 3 | [
"Apache-2.0"
] | permissive | import opytimizer.math.general as g
# Creates a list for pairwising
individuals = [1, 2, 3, 4]
# Creates pairwise from list
for pair in g.n_wise(individuals, 2):
# Outputting pairs
print(f"Pair: {pair}")
# Performs a tournmanet selection over list
selected = g.tournament_selection(individuals, 2)
# Outputti... | true |
b695d234851c0b91e89de2a653ac2735c3118718 | seObando19/holbertonschool-higher_level_programming | /0x06-python-classes/1-square.py | UTF-8 | 291 | 3.421875 | 3 | [] | no_license | #!/usr/bin/python3
"""
Write a class Square that defines a square.
"""
class Square:
"""
function inizialited
"""
def __init__(self, size):
self.__size = size
"""
Square that defines a square
"""
def retrieve(self):
return self.__size ** 2
| true |
cbdfa6fd69d38f24e29d83f86daa4403ebbf6fe6 | doesnotcompute10/HexagonTurtleIllusion | /InfiniteHexagonChoice.py | UTF-8 | 813 | 3.515625 | 4 | [] | no_license | import turtle
loop=200
turtle.speed(20000)
turtle.showturtle()
for i in range(0,68):
for j in range(0, 3):
turtle.forward(loop)
turtle.right(60)
turtle.forward(10)
turtle.right(1)
loop = loop-3
turtle.penup()
turtle.home()
turtle.pendown()
loop=200
for i in range(0,68):
... | true |
f6445aa0d4fcd3fbff30f73a3c7bd69cd40180c2 | emkcosta/HRNet-Human-Bird-Pose-Estimation | /lib/core/evaluate.py | UTF-8 | 4,420 | 2.578125 | 3 | [
"MIT"
] | permissive | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (Bin.Xiao@microsoft.com)
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from __futu... | true |
017f8ea18fcbe240ed6f7a93eb330fced9f0efc6 | dmicanzerofox/workshop-koans | /workshopkoans/factories/views.py | UTF-8 | 1,247 | 2.546875 | 3 | [] | no_license | from abc import abstractmethod, ABCMeta
import json
from django.http import HttpResponse
from django.shortcuts import render
def post_retriever(request):
"""
Given a network and a post_id retrieves data using that networks
API for the post_id
:param request:
:return:
"""
network = request... | true |
0e0a449ec56907bb7a654690c0ae35cf46472c56 | TamaWilson/FOTOXOP | /photo/views.py | UTF-8 | 10,836 | 2.703125 | 3 | [] | no_license | from django.core.files.storage import FileSystemStorage
from django.views.decorators.csrf import csrf_exempt
from django.shortcuts import render, redirect, render_to_response
from PIL import Image
import PIL.ImageOps
from PIL import ImageEnhance
#Função chamada ao requisitar a view do index
def index(request):
#... | true |
54a7fe6be50069d3679c851f4c2814df4b843841 | shoriwe/Tools | /Pythonista/KB_shortcuts/functions_eval/crunch.py | UTF-8 | 1,590 | 3.296875 | 3 | [
"MIT"
] | permissive | from string import ascii_letters, digits, punctuation, whitespace
from time import time
class Crunch:
def __init__(self, letras=ascii_letters + digits + punctuation + whitespace, remover=''):
self.letras = letras
for caracter in remover:
self.letras.replace(caracter, '')
self.tam... | true |
0ba5448d52382a684a7fb8eee71695430041ee6a | pharmaDB/dailymed_data_processor | /spl/history.py | UTF-8 | 2,754 | 2.953125 | 3 | [
"Apache-2.0"
] | permissive | import concurrent.futures
import os
import requests
from utils.logging import getLogger
_logger = getLogger(__name__)
class SplHistoryResponse:
"""
Used to retrieve and process a DailyMed setid's history JSON data.
https://dailymed.nlm.nih.gov/dailymed/services/v2/spls/{set_id}/history
"""
BAS... | true |
ea007c8f4b499227c4ca8f23eef7a4903acd0966 | waikato-datamining/wai-bynning | /src/wai/bynning/binners/_Binner.py | UTF-8 | 1,872 | 3.375 | 3 | [
"MIT"
] | permissive | from abc import abstractmethod
from typing import Generic, Iterator, Iterable, Tuple
from .._Bin import Bin
from .._Binning import Binning
from .._typing import KeyType, LabelType, ItemType
class Binner(Generic[KeyType, LabelType]):
"""
Interface for classes which sort binnable items into bins via their
... | true |
128252dfeda046ff68444a4ed97fb05fff43433d | juanengml/Sistema_de_Monitoramento_de_Salas_GPIOT-UTFPR-TD | /mqtt/app.py | UTF-8 | 2,220 | 2.890625 | 3 | [] | no_license |
import numpy as np
import pandas as pd
from random import shuffle
from flask import Flask,render_template,request
import pygal
from pygal.style import DarkStyle
# "bloco/E/lab/302/SENSOR/JANELA/1"
def entrada():
passagem = pd.read_csv('passagem.csv')
tamanho = len(passagem)
atual = (np.array(passagem[tamanho-1:... | true |
a345df9eec51737b3a4244e3f533746d59ee739e | Annihilater/interview | /eight_sorting_algorithms/__init__.py | UTF-8 | 1,899 | 3.5625 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2019/12/18 6:03 下午
# @Author: yanmiexingkong
# @email : yanmiexingkong@gmail.com
# @File : __init__.py
import copy
import random
import time
from typing import List
def bubble_sort(l: List) -> List:
if len(l) == 0 or len(l) == 1:
return l
for i... | true |
094a6dc584afcf6d02419208d63a7c98ccaa20a1 | GabrielVioli/Classifica-o-de-vinhos | /vinhos.py | UTF-8 | 977 | 3.078125 | 3 | [] | no_license | import pandas as pd
from pandas.core.frame import DataFrame
from sklearn.model_selection import train_test_split
from sklearn.ensemble import ExtraTreesClassifier
main_file = pd.read_csv(r'C:\Users\gabri\OneDrive\Área de Trabalho\code\format_files\vinho.csv')
dataframe = DataFrame(main_file)
dataframe['style'] = dat... | true |
47f12865a2e35482002f13660efe9681594c9c54 | yinxingren0219/RaptorQ-Python | /raptorq/tables.py | UTF-8 | 730 | 3.046875 | 3 | [] | no_license | from __future__ import with_statement
import csv
import bisect
#Section 5.6, Table 2
# K' -> (J(K'), S(K'), H(K'), W(K'))
def load_56t2():
table_data = dict()
with open('table_5_6_t2.txt', 'rb') as f:
reader = csv.reader(f, delimiter='|')
for row in reader:
table_data[... | true |
5f29f7f344874aaed6345d96be27e59fdad53062 | Moneystuff55/Sprint-1 | /Robot Upgrade.py | UTF-8 | 6,479 | 3.171875 | 3 | [] | no_license | import sqlite3
conn = sqlite3.connect('RoboData.db')
c = conn.cursor()
def create_table():
c.execute('CREATE TABLE IF NOT EXISTS roboData (Zero REAL, One REAL) ')
def data_entry1():
c.execute("INSERT INTO roboData VALUES(1,9)")
conn.commit()
def data_entry0():
c.execute("INSERT INTO roboData VALUES(... | true |
9f3c5967b59f2a081b08f212d074059d12cf4ff9 | touilleMan/briefcase | /tests/commands/update/test_update_app.py | UTF-8 | 3,006 | 2.78125 | 3 | [
"BSD-3-Clause"
] | permissive |
def test_update_app(update_command, first_app):
"If the app already exists, it will be updated"
update_command.update_app(update_command.apps['first'])
# The right sequence of things will be done
assert update_command.actions == [
('code', update_command.apps['first']),
]
# App conten... | true |
fbe7418d3e0885abf25c1c6ddf8ff56327ca7681 | Nooruz2203/Chapter1-Part2-Task5 | /Task5.py | UTF-8 | 324 | 3.984375 | 4 | [] | no_license | print ("Number of students in first class: ")
a = int(input())
print ("Number of students in second class: ")
b = int(input())
print ("Number of students in third class: ")
c = int(input())
x = a+b+c
y = (x // 2)+(x % 2)
print("Total number of students :", x, "students")
print("The number of desks we need", y, "desks... | true |
6b1d86b4212e69fc06e87474469eb99e01ba6fb1 | ry3s/atcoder | /abc032/a.py | UTF-8 | 350 | 3.390625 | 3 | [] | no_license | import math
def gcd(m, n):
x = max(m, n)
y = min(m, n)
if x % y == 0:
return y
else:
while x % y != 0:
z = x % y
x = y
y = z
else:
return z
a = int(input())
b = int(input())
n = int(input())
lcm = (a * b) // gcd(a, b)
x = math.... | true |
db771a736d2ad6368a2786ea7aa9b0bbff2d8d21 | Harshxz62/CourseMaterials | /SEM 5/Python Application Programming/Unit 2/regex.py | UTF-8 | 1,801 | 3.171875 | 3 | [] | no_license | '''
Metacharacters (Need to be escaped)
.[]{}()^$|?*+\
'''
import re
text_to_search = """
tanishqvyas0692gmail.com
1234567890101
22-2-2--2-2
a222-333-444
111-222-444
000-003-787
abcdefghijklmnoq
"""
# pattern = re.compile( WRITE UR PATTERN HERE)
pattern = re.compile(r"a(\d{3})[-](\d{3})[-](\d{3})")
pattern... | true |
d48f1dce4f905f771b9080ecb47b9f429e384379 | Bhaney44/Math | /Remainders.py | UTF-8 | 197 | 3.71875 | 4 | [] | no_license | #Remainders
#In Python % is a modulus
#Returns the remainder when the first operancd is divided by the second
u = 17 % 6
print(u)
p = 12 % 6
print(p)
r = 18 % 6
print(r)
v = 9 % 6
print(v)
| true |
b8a82744835b40c8ee38f7c0c41aad2f53025d33 | lmasikl/jira-to-gsheets | /google_adapter.py | UTF-8 | 1,128 | 2.5625 | 3 | [] | no_license | # -*- coding:utf-8 -*-
from __future__ import unicode_literals
from googleapiclient import discovery
from httplib2 import Http
from oauth2client.service_account import ServiceAccountCredentials
class Adapter(object):
scope = ['https://www.googleapis.com/auth/drive']
def __init__(self, credentials_json, shee... | true |
1aefe4aada48773a4a8a26410f82a478076a7116 | holdeelocks/Intro-Python-II | /src/adv.py | UTF-8 | 4,444 | 3.46875 | 3 | [] | no_license | from room import Room
from player import Player
from item import Item, Weapon
# Declare all the rooms
room = {
'outside': Room("Outside Cave Entrance",
"North of you, the cave mount beckons"),
'foyer': Room("Foyer", """Dim light filters in from the south. Dusty
passages run north an... | true |
aa4236af96f789d3f3a663a22a8b8d81d4b9f499 | crodriguezmer/DM_examples | /behavior/wmitcbehavior.py | UTF-8 | 8,270 | 2.71875 | 3 | [] | no_license |
# coding: utf-8
## script set up
# import all the necesary modules
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib as mpl
import matplotlib.pyplot as plt
import statsmodels.api as sm, statsmodels.formula.api as smf
from os import chdir, getcwd
from glob import glob
from scipy impo... | true |
d513d1c7a1482e7123463fc44d4efed05af9a196 | oc0de/pyEPI | /9/13.py | UTF-8 | 648 | 3.34375 | 3 | [] | no_license | from binary_tree_node import BinaryTreeNode
def reconstruct_preorder(preorder):
def reconstruct_preorder_helepr(preorder_iter):
subtree_key = next(preorder_iter)
if subtree_key is None: return None
left_subtree = reconstruct_preorder_helepr(preorder_iter)
right_subtree = reconstruc... | true |
5e268295976761ec862293a0b2b28a6a40a6a583 | WKD622/author-identification-rnn | /library/network/output_manager.py | UTF-8 | 4,194 | 2.546875 | 3 | [] | no_license | import datetime
import os
import torch
from library.helpers.files.files_operations import append_to_file, create_directory, create_file
class OutputManager:
EPOCH = 'epoch'
LOSS = 'loss'
ACCURACY = 'accuracy'
MODEL = 'model'
RESULTS_FILENAME = 'results.csv'
NETWORK_INFO_FILENAME = 'network_i... | true |
088209da55e4914c099545739b3d3a37cfcaf204 | Rodrigo-P-Nascimento/Python | /ex113.py | UTF-8 | 863 | 4.3125 | 4 | [] | no_license | def leiaInt(msg):
while True:
try:
n = int(input(msg))
except (ValueError, TypeError):
print("\033[31mERRO! Digite um valor inteiro válido.\033[m")
continue
except KeyboardInterrupt:
print("A entrade de dados foi intenrrompida pelo usuá... | true |
eda1bbba6d915d260309108fa9078d16f8e6b82a | wang8063/Python | /ex3e.py | UTF-8 | 627 | 3.9375 | 4 | [] | no_license | import math
def gcd(a,b):
if a>b:
r=a%b
if r != 0:
a=b
b=r
while a%b!=0:
r=a%b
a=b
b=r
else:
b=a
return(b)
def main():
a=abs(int(input("enter first value: ")))
while a!="":
... | true |
53f8150fa707857f9399ee914a2d6e4e3c157bf6 | joonluvschipotle/baekjoon | /1546.py | UTF-8 | 232 | 3.359375 | 3 | [] | no_license | n = int(input())
dfdf = input().split()
list1 = []
for i in range(0,n):
list1.append(int(dfdf[i]))
maxi = max(list1)
total = 0
for i in range(0,n):
total += (list1[i]/maxi)*100
ans = total/n
print("%.2f" % round(ans,2)) | true |
15160a99b8ddfcb5e960f60d47d76f1dd4609934 | jenniferjadon/Jenni | /natur.py | UTF-8 | 58 | 3.09375 | 3 | [] | no_license | r=int(input())
a=0
for i in range(0,r+1):
a=a+i
print(a)
| true |
514bdf6f7c9216c8f6b32308107e08fe74e161c4 | princebaretto99/Recipe_Scraper | /Scrapers/all_recipes.py | UTF-8 | 4,347 | 3 | 3 | [] | no_license | # Scraping Recipes - All Recipes
import html
from urllib.request import Request,urlopen
from bs4 import BeautifulSoup as soup
import pandas as pd
import numpy as np
import json
base_url = 'https://www.allrecipes.com/recipes/?page='
recipe_titles = []
recipe_img_links = []
recipe_ingredients = []
recipe_intructions =... | true |
b1df2a48662e837a387b4883f28195737038c4fa | therocket290/set_card_finder_EDGETPU | /set_finder_EDGETPU_script.py | UTF-8 | 8,410 | 2.53125 | 3 | [] | no_license | #import stuff
import cv2
import tflite_runtime.interpreter as tflite
import numpy as np
import matplotlib.pyplot as plt
#import IPython.display as display
from PIL import Image
import os
#from keras.preprocessing.image import load_img
from numpy import asarray
import pandas as pd
from itertools import combinations
... | true |
48dc778415f1c58f3f8bc3bb13b23989e2dd19c6 | yoncho/OpenCV-code | /studio_on_video_opencv.py | UHC | 1,106 | 2.578125 | 3 | [] | no_license | import cv2
import numpy as np
capture = cv2.VideoCapture("testvideo.avi")
width = int(capture.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
videoWriter = cv2.VideoWriter()
isWrite = False
while True:
ret, frame = capture.read()
if(capture.get(cv2.CAP_PROP_POS... | true |
ea6528180e0ae9d6a10df6d3aa5813782a9eb44c | iangow/se_features | /fls/fls_functions.py | UTF-8 | 877 | 2.84375 | 3 | [] | no_license | import nltk, re
from collections import Counter
from ling_features import fog, fog_agg, fls, tone_count
# Function to aggregate fog over a list of texts
def tone_agg(texts, prefix=""):
counter = Counter()
for text in texts:
counter.update(tone_count(text))
return { (prefix + key):counter[key... | true |
7d5182dce9492dae69b311952453f2f025b01274 | tusharkailash/GeeksForGeeksProblems | /Sorting_Algorithms/merge_sort.py | UTF-8 | 2,097 | 4.75 | 5 | [] | no_license | ### MergeSort ###
#https://www.youtube.com/watch?v=TzeBrDU-JaY
#Pseudo code:
# MergeSort(arr[], l, r)
# If r > l
# 1. Find the middle point to divide the array into two halves:
# middle m = (l+r)/2
# 2. Call mergeSort for first half:
# Call mergeSort(ar... | true |
a242ecc8e64a237693ef77d82cfc8aa2cb74616e | zhuqiangLu/leetcode | /KMP.py | UTF-8 | 2,077 | 3.1875 | 3 | [] | no_license | class Solution:
def strStr(self, haystack: str, needle: str) -> int:
def findNext(pat):
# nex[i] mean the longgest prefix == suffix before i-th char in pat
patLen = len(pat)
k = -1
j = 0
nex = [0 for _ in range(patLen)]
... | true |
f09d63c0ee37ada7cf6d6b508afcc3b262122a11 | daphshez/codejam | /2020toio/q1.py | UTF-8 | 653 | 3.75 | 4 | [] | no_license | t = int(input())
for i in range(1, t + 1):
s = input()
available_capital_o = 0
available_small_o = 0
count = 0
for c in reversed(s):
if c == 'i':
if available_small_o > 0:
available_small_o -= 1
else:
available_capital_o -= 1
if... | true |
ea681d6deb8bc70b480c3726f7dd692c7716fa63 | tarun201/news | /ml_python/app.py | UTF-8 | 3,940 | 2.65625 | 3 | [] | no_license | from flask import Flask,jsonify
import json
import serpy
from flask_restful import Api, Resource, reqparse
import mysql.connector
import pandas as pd
#news.head();
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from stop_words import get_stop_words
import ... | true |
b9bfcd0ea2d5a8bd1412f73bd5958db9f74ee62b | realnoobie/dirganize | /dirganize/cli.py | UTF-8 | 1,592 | 2.765625 | 3 | [
"MIT"
] | permissive | """Command line interface for dirganize."""
import logging
import os
from typing import Optional
import typer
from rich.logging import RichHandler
from dirganize import __version__
from dirganize.dirganize import dirganize
app = typer.Typer(add_completion=False)
def version_callback(value: bool):
"""Show curr... | true |
420a3932a3e0dcc0eebdae3e8019a5161d630e7f | benmoose/Gatekeeper | /gatekeeper/db/verification/interface/verification_code_layer_test.py | UTF-8 | 2,246 | 2.65625 | 3 | [] | no_license | from datetime import datetime, timedelta
import pytest
import pytz
from django.db import IntegrityError
from ..models.verification_code import VerificationCode
from .verification_code_layer import (
create_verification_code,
get_active_verification_codes_for_phone_number,
invalidate_verification_code,
)
... | true |
163b8579a841a3c3e9a965b16998f0974ee231e5 | yuliachen/Single-blind-test-of-airplane-based-hyperspectral-methane-detection-via-controlled-releases | /github_version/functions/LOESS.py | UTF-8 | 10,535 | 3.015625 | 3 | [] | no_license | import numpy as np
import pandas as pd
import scipy
from github_version.functions.parity import *
from scipy.stats import norm
def loc_eval(x, b):
"""
Evaluate `x` using locally-weighted regression parameters.
Degree of polynomial used in loess is inferred from b. `x`
is assumed to be a scalar.
"""... | true |
dc024ef0c757cbb3b9780e4968ce369fd6a9ff53 | ftrcn/python | /föyler/ardisik_toplam.py | ISO-8859-1 | 278 | 2.96875 | 3 | [] | no_license | # -*- coding: cp1254 -*-
#!/usr/bin/python
def ardisik_toplam(n):
x=0
if n>0 and type(n)==type(int(n)):
while n:
x=x+n
n=n-1
print x
else:
print "Ltfen pozitif bir tamsayi giriniz."
| true |
a12f22d963c1caf7d93e66160877d5ec798de802 | rangelrey/timeSeriesAnalysis | /timesSeriesAnalysis.py | UTF-8 | 150,465 | 3.953125 | 4 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# # Numpy Reminders:
# Let's have a look at some of the most basic numpy concepts that we will use in the more advanced sections
# In[1]:
import numpy as np
import datetime as datetime
from matplotlib import dates
import pandas as pd
# ## Numpy Creating data
# In order to te... | true |
52ad2987aa7a25dfd9dd2de1b6aa3e4a6360f347 | jpolache/codewars | /rdw.py | UTF-8 | 389 | 3.09375 | 3 | [] | no_license | def remove_duplicate_words(s):
op = []
for item in s.split():
if item not in op:
op.append(item)
return " ".join(op)
remove_duplicate_words("alpha beta beta gamma gamma gamma delta alpha beta beta gamma gamma gamma delta")
remove_duplicate_words("my cat is my cat fat")
'''
def remove_... | true |
8bd3aeedcbe0e137d989b6cd9a9d9d04b3a8a549 | ndau/commands | /bin/predict.py | UTF-8 | 8,453 | 2.984375 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/python
# ----- ---- --- -- -
# Copyright 2019 Oneiro NA, Inc. All Rights Reserved.
#
# Licensed under the Apache License 2.0 (the "License"). You may not use
# this file except in compliance with the License. You can obtain a copy
# in the file LICENSE in the source distribution or at
# https://www... | true |
5f7a80507a6e1bd4fa469ede421ee68e979fac69 | npithani/internet-techology | /it_project1/client.py | UTF-8 | 3,319 | 2.8125 | 3 | [] | no_license | import threading
import time
import random
import sys
import socket
# get command line arguments
parameter1 = sys.argv[1]
parameter2 = sys.argv[2]
parameter3 = sys.argv[3]
rsHostname = parameter1
rsListenPort = parameter2
tsListenPort = parameter3
def client():
# Read hostnames into an array, line-by-line from... | true |
26b083f1ee4923cf346c17ac5858a657d5bb4284 | AngeloESFM/All_programs | /Funciones_de_las_ cadenas.py | UTF-8 | 1,417 | 4.5625 | 5 | [] | no_license | #TRABAJAMOS CON CADENAS DE TEXTO
# Las cadenas pueden ser tratadas como listas
cadena = "Hola AcademiaCoder"
# H o l a A c a d e m i a C o d e r
# 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
# ... -3 -2 -1
# Se escoge la posición que queremos mostrar entre corchetes
# nombre... | true |
2c7575fb3492595bb97e9f2cb42d945c955efd28 | algorithm005-class01/algorithm005-class01 | /Week_06/G20190343020242/LeetCode_37_0242.py | UTF-8 | 2,524 | 3.453125 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=37 lang=python3
#
# [37] 解数独
#
# https://leetcode-cn.com/problems/sudoku-solver/description/
#
# algorithms
# Hard (58.24%)
# Likes: 292
# Dislikes: 0
# Total Accepted: 16.9K
# Total Submissions: 28.7K
# Testcase Example: '[["5","3",".",".","7",".",".",".","."],["6",".",".","1","9","5"... | true |
761a32c9b576b7aa5f66bd8e869fe27a771cb200 | DaToo-J/NotesForBookAboutPython | /剑指offer/linkList/25_mergeTwoLists.py | UTF-8 | 986 | 4.125 | 4 | [] | no_license | '''
输入两个递增排序的链表，合并这两个链表并使新链表中的节点仍然是递增排序的。
示例1：
输入：1->2->4, 1->3->4
输出：1->1->2->3->4->4
限制：
'''
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
'''
1. 遇到的问题，一开始想着同时比较`l1,l2`
2. 但是，最后的结果回溯不到头节点，所以利用python复制的特点，让`res`和`cur`在初始化的时候就“绑定”在一起，`cur`作为指针向前移，`res`作为伪头节点，好在最后返回结果的时候... | true |
6fa0d1858186e3fdaa87e22e743b70527855a4d4 | tortoise/tortoise-orm | /tests/test_inheritance.py | UTF-8 | 612 | 2.578125 | 3 | [
"Apache-2.0"
] | permissive | from tests.testmodels import MyAbstractBaseModel, MyDerivedModel
from tortoise.contrib import test
class TestInheritance(test.TestCase):
async def test_basic(self):
model = MyDerivedModel(name="test")
self.assertTrue(hasattr(MyAbstractBaseModel(), "name"))
self.assertTrue(hasattr(model, "c... | true |
39eeebe2f27568c135e9ec8326e1905583e2c5a8 | yongxuUSTC/challenges | /linked-list-split.py | UTF-8 | 1,409 | 4.625 | 5 | [] | no_license | '''
Question:
Split a linked list into two list with odd and even values.
Retain the order of value and solve with no additional space.
'''
class LinkedList:
def __init__(self,data):
self.data = data
self.next = None
def insert(self,node):
current = self
while(current.next is not None):
current = curren... | true |
e2f9fbf4c22e6db61a083ed78b602641b9269145 | heolinyjung/B531_finalProject | /source/decisionTree.py | UTF-8 | 18,289 | 3.265625 | 3 | [] | no_license | import math
import json
import numpy as np
import random
import re
"""
recipes param is a list of dictionaries
each dict in the list is a recipe with keys id, cuisine, and ingredients (strings)
id is assigned to the recipe id (int)
cuisine is assigned to the cuisine type (string)
ingredients is assigned to the list of... | true |
b7ab7a32b918edaf31d23db7d46a966c2581be53 | aragorn1025/mask-rcnn | /src/utilities/tools/file.py | UTF-8 | 638 | 2.859375 | 3 | [] | no_license | import os
def check_directory(key, root):
if root == None:
raise ValueError('The root of the %s directory should be set.' % key)
if not os.path.isdir(root):
raise IOError('The %s directory is not found.' % key)
def check_file(key, root):
if root == None:
raise ValueError('The root ... | true |
0661bf1fa0ac997276938ee764a570d0b3d17cec | Ryzzuh/string_matcher | /main.py | UTF-8 | 1,152 | 2.859375 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
pd.set_option('display.max_columns', 500)
pd.set_option('display.max_colwidth', 1000)
pd.set_option('display.width', 1000)
pd.options.display.max_rows = 100
import os
cwd = os.getcwd()
import jellyfish as jf
import math
import re
def main():
""" Mai... | true |
c34ba6bcf12d428f6bb6ed4c785326e87873846e | vipulshah31120/PythonClassesByCM | /DailyClasses/01-03-2021/json_ex2.py | UTF-8 | 721 | 3.3125 | 3 | [] | no_license | import json
fruits = ["apple","banana"]
person = {"fname":"Vipul", "lname":"Shah", "fruits":fruits}
str = json.dumps(person)
print(str)
cars = ["BMW", "Pagani", "Konigsegg", "LaFerrari"]
Myself = ["I have these cars :",cars]
Mycars = json.dumps(Myself)
print(Mycars)
x = '{"name":"Niklaus", "age":"Immortal"... | true |
a014dcbf97ba91a1ea468021b6e8d4dfcaedad7b | COLA-Laboratory/A-python-package-to-MOEA | /Algorithm/NSGAII/NSGAIISelection.py | UTF-8 | 3,696 | 2.921875 | 3 | [] | no_license | import numpy as np
import random
def tournamentSelection(Pop,N):
tournament = 2
a = round(N/2)
pop_candidate = np.zeros(tournament)
pop_rank = np.zeros(tournament)
pop_cd = np.zeros(tournament)
pop_parent = []
for i in range(a):
for j in range(tournament):
pop_candidate[... | true |