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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
d848497e2725038e7c5c3c27a5a34c1c10f46a9e | Python | danerlt/leetcode | /Python3/剑指Offer05.替换空格.py | UTF-8 | 780 | 3.53125 | 4 | [] | no_license | # 请实现一个函数，把字符串 s 中的每个空格替换成"%20"。
#
#
#
# 示例 1：
#
# 输入：s = "We are happy."
# 输出："We.are%20happy."
#
#
#
# 限制：
#
# 0 <= s 的长度 <= 10000
#
# Related Topics 字符串 👍 360 👎 0
# leetcode submit region begin(Prohibit modification and deletion)
class Solution:
def replaceSpace(self, s: str) -> str:
... | true |
6358917bdddb2fddd9cecada2b4568692d195e01 | Python | msschambach/pythonbdd | /djangotodo/features/steps/api_create_todolist.py | UTF-8 | 2,634 | 2.859375 | 3 | [] | no_license | import json
from behave import given, when, then
@given(u'an endpoint for creating a list exists')
def step_impl(context):
response = context.test.client.post('/api/lists/', data={})
response_content = response.content.decode('utf-8')
assert response_content == '{"name":["This field is required."],"descri... | true |
a3b0a205b212336c5efd269b34824d6198645d32 | Python | gonzalob24/Learning_Central | /Python_Programming/PythonUhcl/Scripting/babynames.py | UTF-8 | 4,698 | 4.15625 | 4 | [] | no_license | """
In python: Using the TXBabyNames.txt file.
Write code to read it into a list.
How many female records are there? Done
How many male records are there? Done
How many female records are there in 1910? Done
How many male records are there in 1910? Done
How many female records are there in 2012? Done
How many male r... | true |
65d6a24181482ea120d0ab6caa9dc122e1f527f8 | Python | leizhen10000/crawler | /demo/selenium/locate_element/__init__.py | UTF-8 | 2,813 | 3.5 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# @Time : 2018/8/27 10:13
# @Author : Lei Zhen
# @Contract: leizhen8080@gmail.com
# @File : __init__.py.py
# @Software: PyCharm
# code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
┏┓ ┏┓
... | true |
a67af1f0027ef4bcf74805907d60dc1c609d7a64 | Python | vstiern/wsb-hype-alert | /data_collector/src/aux_functions.py | UTF-8 | 810 | 3.359375 | 3 | [] | no_license | """Aux functions"""
from pathlib import Path
from configparser import ConfigParser
# read file
def get_config_section(section, file_name="config.ini"):
"""
Parse config file.
:param section_name: Section header name as string.
:param file_name: File name of config file. Defualt name provided.
:... | true |
9ad79d451ea71a61a26be9ba137208493ba2cbee | Python | narahahn/continuous_measurement | /example/IRs_image_source_model.py | UTF-8 | 3,424 | 2.875 | 3 | [
"MIT"
] | permissive | """ Computes the impulse responses in a rectangular room using the
mirror image sources model
* frequency-independent reflection coefficients
* fractional delay interpolation using the Lagrange polynomial
"""
import numpy as np
import sfs
import matplotlib.pyplot as plt
import sounddevice as sd
import soun... | true |
d15c10073dd452d8f4c7b999bc526f5e85fb4ab4 | Python | chrisleewoo/soundbug | /iter_recurs.py | UTF-8 | 319 | 4.0625 | 4 | [] | no_license | """
n! iterator vs recursively
"""
def factorial_iterative(n):
for x in range(n):
x *= x-n
return x
def factorial_recursive(n):
# Base case: 1! = 1
if n == 1:
return 1
# Recursive case: n! = n * (n-1)!
else:
return n * factorial_recursive(n-1) | true |
714fcef9bda55ea216587cbd75ff696b37d74945 | Python | change1q2/Learn | /pyweb/web_12_framework_v4/common/base_page.py | UTF-8 | 2,130 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python3
#-*- coding:utf-8 -*-
# email: wagyu2016@163.com
# wechat: shoubian01
# author: 王雨泽
import logging
import os
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import ex... | true |
09727b253a93d91c09e2e2d206ff554b1c7c95a6 | Python | kevin-ci/advent-of-code-2020 | /chris/day-3/p2.py | UTF-8 | 383 | 3.21875 | 3 | [
"MIT"
] | permissive | import functools
from p1 import count_trees
slopes = [
{'x': 1, 'y': 1},
{'x': 3, 'y': 1},
{'x': 5, 'y': 1},
{'x': 7, 'y': 1},
{'x': 1, 'y': 2},
]
with open('input.txt') as f:
lines = f.read()
all_trees = []
for slope in slopes:
start = (0, 0)
all_trees.append(count_trees(lines, start, slope))
total ... | true |
144d07d7dce9f1777382b356eafea8ef2d1db955 | Python | yy19970618/apriori | /genindex.py | UTF-8 | 4,677 | 2.59375 | 3 | [] | no_license | import tensorflow.python as tf
from tensorflow.python import keras
from tensorflow.python.keras import layers
from tensorflow.python.keras import models
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
import os
import numpy as np
import sklearn.preprocessing as sp
import matplotlib.pyplot as p... | true |
6e2cd085d423d8062fdcdb3837adfbe2d5524bea | Python | AnnaPopovych/Automation | /lesson_3/DZ_3_1.py | UTF-8 | 149 | 3.25 | 3 | [] | no_license | c = [-1, 2, -1, -1]
def my_new_function(a):
b = []
for i in a:
b.append(abs(i))
b.sort()
return b
print(my_new_function())
| true |
54e60e4cac88c5037c545172ee0cdf3f92b35681 | Python | lookfwd/bottlemem | /1.simple_server.py | UTF-8 | 3,217 | 2.625 | 3 | [] | no_license | #!/usr/bin/env python3
import socket
from time import sleep
APP_PORT = 50000
LISTEN_BACKLOG = 1000000
LOGIN_SERVER = '52.17.32.15'
LOGIN_PORT = 50001
def login():
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((LOGIN_SERVER, LOGIN_PORT))
s.sendall(('login').encode())
data = s.recv(... | true |
3433dbfc4cd79b584c7d56cc199f53ca2f18bca4 | Python | kkristof200/py_dependencies | /kdependencies/models/installed_package.py | UTF-8 | 3,219 | 2.546875 | 3 | [] | no_license | # --------------------------------------------------------------- Imports ---------------------------------------------------------------- #
# System
from typing import Optional, List
# Local
from .package import Package
from .core import Utils
# ----------------------------------------------------------------------... | true |
ae6a37eb234dc865c0599488930334fcdf3eb9ac | Python | dotcs/doimgr | /lib/validator.py | UTF-8 | 4,463 | 2.578125 | 3 | [
"MIT"
] | permissive | import os
import sys
import logging
import re
class Validator(object):
UNKNOWN = 0
BOOLEAN = 1
INTEGER = 2
STRING = 3
DATE = 4
FUNDER_ID = 5
MEMBER_ID = 6
URL = 7
MIME_TYPE = 8
ORCID = 9
ISSN = 10
TYPE = 11
DIRECTORY = 12
DOI ... | true |
44436bb8af3c5ecb6bad5bac4d6028a4fd9bebbf | Python | stijncoelus/python-diematic | /version2/test/read-regs.py | UTF-8 | 146 | 2.546875 | 3 | [] | no_license | import json
with open('reg-dump2.json') as data_file:
data = json.loads(data_file.read())
print data
for idx in data:
print(data[idx])
| true |
b56bd5f33b41da1e0c5a168726191962cf3a49c6 | Python | RiteshBhola/Assignment2_apr20 | /q2.py | UTF-8 | 616 | 3.390625 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
h=0.1
x=np.arange(1,2+h,h)
print(x)
n=np.size(x)
print(n)
y=np.zeros(n)
y[0]=1
def solution(t):
return(t/(1+np.log(t)))
def fun(y):
return((y/t) - (y/t)**2)
for i in range(0,n-1,1):
t=x[i]
y[i+1]=y[i]+h*fun(y[i])
abs_err=np.abs(y-solution(x))
rel_err=a... | true |
dfc77c81543d39ddafcfeb7c7628a5ca237a705f | Python | radRares1/AI | /lab4/UI.py | UTF-8 | 2,920 | 3.078125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 25 22:06:06 2020
@author: Rares2
"""
from Controller import Controller,PSO
from Repo import Repo
from hillClimb import HillController
def main():
print("1.EA")
print("2.Hill")
print("3.PSO")
choice = int(input("Choose a method"))
... | true |
82da346a6f651892c930b722b3826732537ae90e | Python | foobarna/play-gae | /main.py | UTF-8 | 1,292 | 2.65625 | 3 | [] | no_license | from blog import *
class MainPage(webapp2.RequestHandler):
def get(self):
self.response.out.write("Hello ma'friend!")
self.response.out.write("""<br><a href="/blog">Blog</a>""")
self.response.out.write("""<br><a href="/rot13">Rot13</a>""")
class Rot13Handler(BaseHandler):
def render_str2(self, template, **pa... | true |
a973846e7719135ef78bc769e774fef87c66ef20 | Python | ansayyad/Python_scripts | /getthePhoneNumberfromstring.py | UTF-8 | 149 | 2.96875 | 3 | [] | no_license | import re
phonenumregex = re.compile(r'\d\d\d-\d\d\d-\d\d\d\d')
mo = phonenumregex.search("My phone number is 704-048-9515")
print(mo.group())
| true |
46b1d73348f44ff4cb00393c96576aa5b94a4d7d | Python | MaureenZOU/ECS277 | /project1/config.py | UTF-8 | 1,674 | 2.609375 | 3 | [] | no_license | import os
import cv2
import numpy as np
class Config(object):
"""
Holds the configuration for anything you want it to.
To get the currently active config, call get_cfg().
To use, just do cfg.x instead of cfg['x'].
I made this because doing cfg['x'] all the time is dumb.
"""
def __init__(se... | true |
63692876e2ffd9cb2f454f010237571e5dccb5d4 | Python | timvass/pyladies-ntk-praha | /lekce2-prvni-program/prvni-program-promenne.py | UTF-8 | 106 | 3.359375 | 3 | [] | no_license | print(1)
print(1 * 8)
print('*' * 8)
print('Soucet cisel 2 a 3 je', 2 + 3)
print('Mama ma misu.' + ' Rej') | true |
ca30c421ff3e9adc2fce634f06ca4d7b8647b987 | Python | oliverdippel/Codewars | /Skyscraper7x7/Solver/Solution.py | UTF-8 | 5,799 | 3.3125 | 3 | [] | no_license | class Solution:
def __init__(self, boardsize):
"""The pure intent of this class is to sample problems"""
self.boardsize = boardsize
self.__board = self.sample_board(boardsize)
self.clues = self.parse_clues_from_board(self.__board)
def sample_board(self, problemsize):
# T... | true |
82dcb51aa8b8be3839406817919c45a25059c11f | Python | dadatomisin/cam2021 | /mgrid/util_crc.py | UTF-8 | 5,513 | 2.78125 | 3 | [] | no_license | import math
from scipy import special
import numpy as np
from scipy.stats import poisson
from collections.abc import Iterable
# PI controller that takes as input kp, ki, current error and previous integral error
def PI(Kp, Ki, err, prev_i_err):
i_err = prev_i_err + err
u = Kp*err + Ki*i_err
return u, i_err... | true |
8537c53e8ef82e7e5c80b4bfa1e27c7b0ff15e7b | Python | ckloppers/PythonTraining | /exercises/day3/dice.py | UTF-8 | 552 | 4.1875 | 4 | [] | no_license | import random
# stats data structure
stats = {1:0,
2:0,
3:0,
4:0,
5:0,
6:0}
# method to roll dice
def rollDice():
return random.randint(1, 6)
# rolling the dice
print 'Now rolling the die...'
for roll in range(1, 10):
currentRoll = rollDice()
currentRollValueI... | true |
e2479da6c35b2bf981144418f47b73126d946d7a | Python | diego2097/Retos_Programacion_3_CNYT | /src/main/BarPlot.py | UTF-8 | 349 | 3.1875 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
def graficarProba(vector):
print(vector)
x = []
y = []
for i in range(len(vector)):
x.append("Estado " + str(i+1))
for i in range(len(vector)):
y.append(vector[i])
xx = np.array(x)
yy = np.array(y)
plt.bar(xx,yy,ali... | true |
88495c33f3649022f8f4c78f6cbe20b124c08c13 | Python | ymahajan98/CS771-Project | /hf_opt.py | UTF-8 | 28,747 | 2.78125 | 3 | [] | no_license | """
Hessian Free Optimizer.
Original Author: MoonLight, 2018
Modified by: rharish, 2018
"""
import tensorflow as tf
try:
import colored_traceback.auto
except ImportError:
pass
class clr:
"""Used for color debug output to console."""
OKGREEN = "\033[92m"
WARNING = "\033[93m"
FAIL = "\033[91... | true |
c8286647c0781a4c8f8a8b3498f964443db5bb95 | Python | lonesloane/Python-Snippets | /scripts_and_streams/commandline.py | UTF-8 | 472 | 3.03125 | 3 | [] | no_license | __author__ = 'stephane'
import sys
class CommandLine(object):
def __init__(self):
pass
@staticmethod
def test_argv():
print('\n**********************')
print( "sys.argv :")
print('**********************')
for argv in sys.argv:
print(argv)
def main()... | true |
1155c29909a8b37ddc4e9cf6ea7848b0e319fca5 | Python | fonsecguilherme/Exercicios | /Lista_2/10.nPerfeitos.py | UTF-8 | 324 | 4.0625 | 4 | [] | no_license | num = int(input("Digite o número a ser verificado: "))
divisor = 1
lista = []
while num > divisor:
if num % divisor == 0:
lista.append(divisor)
divisor += 1
print("Divisores: " +str(lista))
resultado = sum(lista)
if resultado == num:
print("É n perfeito.")
else:
print("Não é n perfeito. ") | true |
989f867d88442e2bd2018921a63d077e0f090ee3 | Python | amolsawant844/SEM-4 | /Python-basic-programs/Inheritance and polymorphism/use_of_super.py | UTF-8 | 410 | 3.953125 | 4 | [] | no_license | class square:
def __init__(self,x):
self.x=x
def area(self):
print("area of square=",self.x*self.x)
class rectangle(square):
def __init__(self,x,y):
super().__init__(x)
self.y=y
def area(self):
super().area()
print("area of rectangle",self.x*sel... | true |
529036edfadc357e3844ad532b7a172c24c815a0 | Python | mjgpy3/CoopDataManager | /Source/Model/schema.py | UTF-8 | 4,133 | 2.828125 | 3 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | #!/usr/bin/env python
# Created by Michael Gilliland
# Date: Wed Aug 22 10:32:15 EDT 2012
#
#
"""
Represents the database's structure
"""
import model_abstraction as m
def build_model_structure(model_structure):
"""
This is where the model's structure is coded using abstractions from the model_abs... | true |
5122d8ee3230c2b065eb22731d55b0e0616df91e | Python | kmsmith137/ch_frb_l1 | /rpc_server_async.py | UTF-8 | 5,354 | 2.671875 | 3 | [] | no_license | from __future__ import print_function
import sys
import threading
import time
import random
import zmq
import msgpack
'''
A python prototype of how an async version of the RPC server might
work.
One desired property is that the server respond to client requests
quickly, because we don't want requested data to drop o... | true |
de87c0ad3d901c823b69a2734c3940b5c18d25d0 | Python | ScottLiao920/SAUVC2019_MECATRON | /pass_gate.py | UTF-8 | 1,861 | 2.734375 | 3 | [] | no_license | import time
import cv2
import movement
import localizer
from camera_module import camera_thread
import gesture_detection
camera_front = camera_thread(0)
camera_front.start()
camera_down = camera_thread(1)
camera_down.start()
def pass_gate(pos):
fwd_count = 25
find_count = 25
while True:
t1 = time... | true |
0b7e60cf314c6285990cc57201e058920f096b5f | Python | qicst23/Daily | /Others/brute_force_1.py | UTF-8 | 718 | 3.8125 | 4 | [
"MIT"
] | permissive | """
输入正整数n，按照从小到大顺序输出所有形如abcde/fghij=n的表达式，其中a~j恰好是数字0~9的一个排列，2<=n<=79
样例输入：62
样例输出：
79546/01283=62
94736/01528=62
"""
def brute_force_1(n):
a = 01234
while a * n <= 98765:
if validate(a, a * n):
# print result as required
print '%05d' % (a*n) + '/' + '%05d' % a + '=' + str... | true |
a2fffb4e728c3441d3293c1153c1fd7905b3698f | Python | amangour30/BINC | /motiondetect.py | UTF-8 | 5,337 | 2.96875 | 3 | [
"BSD-2-Clause"
] | permissive | # import the necessary packages
import argparse
import datetime
import imutils
import time
import cv2
import RPi.GPIO as GPIO
import pigpio
from PIL import Image
import numpy as np
from activation_functions import sigmoid_function, tanh_function
from cost_functions import sum_squared_error
from neuralnet import NeuralN... | true |
2ff8713bfa650b1ca0c0ee6f6bd67b0bd4b03e03 | Python | SoapClancy/Python_Project_common_package | /Ploting/adjust_Func.py | UTF-8 | 3,107 | 2.65625 | 3 | [] | no_license | from matplotlib import pyplot as plt
from typing import Sequence, Iterable
LINESTYLE_STR = [
('solid', 'solid'), # Same as (0, ()) or '-'
('dotted', 'dotted'), # Same as (0, (1, 1)) or '.'
('dashed', 'dashed'), # Same as '--'
('dashdot', 'dashdot')] # Same as '-.'
LINESTYLE_TUPLE = [
('solid',... | true |
204ec6aed1f3198f7b4cb5fcb10b1f64b958f6d7 | Python | youki-cao/Gomoku-AI | /Code_AI_Gomoku/gomoku.py | UTF-8 | 2,491 | 3.046875 | 3 | [] | no_license | # encoding: utf-8
import os,sys
curPath = os.path.abspath(os.path.dirname(__file__))
sys.path.append(curPath)
import numpy, pygame
import Chessboard
class Gomoku():
def __init__(self):
self.screen = pygame.display.set_mode((800, 600))
pygame.display.set_caption("五子棋")
self.cloc... | true |
657983693374ed1338cab92efc041e937a8a2e32 | Python | Nedgang/adt_project | /analysis.py | UTF-8 | 5,853 | 2.984375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Usage:
Options:
Authors:
MARIJON Pierre, PICARD DRUET David, PIVERT Jérome.
"""
##########
# IMPORT #
##########
# EXISTANT LIBRARY
import glob
import sys
# SPECIFIC LIBRARY
# Our command line analyser/checker
import cli_parser
# Our tool to split text
import... | true |
15e26548f03dae2020a0ec1fdd1174d17ee66eba | Python | deekew33/bogged-again | /polls/boggedagain/tensorclassifier.py | UTF-8 | 3,368 | 2.734375 | 3 | [] | no_license | from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import tensorflow as tf
import os, pickle, random, nltk, math, sqlite3, time
import matplotlib.pyplot as plt
def get_num_words_per_sample(sample_texts):
"""Returns the median number of words per sample given corp... | true |
faea34a9bed62284ec2c8c946b6d34effece9935 | Python | clouds56/binary_reader | /app/sqlite3_file.py | UTF-8 | 5,900 | 2.625 | 3 | [] | no_license | import binary_reader.sqlite3_schema as sqlite3
class SQLiteFile:
def __init__(self, file):
self.file = file
self.pages = {}
self.load()
def load(self):
self.file.seek(0)
self.config = self.readbin("header_schema", self.file.read(100))
self.tables = self.load_btr... | true |
d09eb4876bbbb4b04b05aa2feaddd1ab429b9dda | Python | aliabbas1987/python-practice | /practice/functions/myMath.py | UTF-8 | 105 | 2.671875 | 3 | [] | no_license | '''
Created on Apr 2, 2020
@author: Ali Abbas
'''
def sum(x,y):
return x+y
def sub(x,y):
return x-y | true |
e396ecdd25e23b59be46310bf8220793f6a2f5da | Python | YilinWphysics/Assignments | /Nbody_project/ThirdPart_Periodic.py | UTF-8 | 1,235 | 2.578125 | 3 | [] | no_license | from functions import *
############## Periodic B.C's ##################
summary = open("Summary.txt", "a")
Q3_periodic_E = open("Q3_periodic_E.txt", "w")
n=int(2e5) # now use hundreds of thousands of particles
grid_size = 500
soften = 10
mass = 1/n
v_x = 0 # initial v in x-direction
v_y = 0 # initial v in y-di... | true |
9384bf6881753dc361f7abe62fdde109534d45e8 | Python | StopTheCCP/CCP-Database-Leak | /TranslateCSV.py | UTF-8 | 1,353 | 2.921875 | 3 | [] | no_license | import os
import time
# https://pypi.org/project/google-trans-new/
from google_trans_new import google_translator
def TranslateCnToEn(textCn:str) -> str:
# ref https://github.com/lushan88a/google_trans_new
translator = google_translator(url_suffix='us')
textEn = translator.translate(textCn.strip(), lang_sr... | true |
4d2a5b2449e57a71c6c9b0142d9a38287d50424a | Python | BitKnitting/FitHome_EDA | /test_find_dates.py | UTF-8 | 612 | 2.8125 | 3 | [] | no_license | ###########################################################
# test_find_dates.py
# Simple test that validates we can connect to the mongo db
# and read records. It returns the dates in the mongo db
# where there are power readings in ISODate format.
###########################################################
from error... | true |
fd65ee8237801ecbcf6616866eb9f5fcbc8cabe2 | Python | efaguy27/engg-3130-final | /autonomous-learning-library-master/all/approximation/approximation.py | UTF-8 | 4,822 | 2.84375 | 3 | [
"MIT"
] | permissive | import os
import torch
from torch.nn import utils
from all.logging import DummyWriter
from .target import TrivialTarget
from .checkpointer import PeriodicCheckpointer
DEFAULT_CHECKPOINT_FREQUENCY = 200
class Approximation():
'''
Base function approximation object.
This defines a Pytorch-based function ap... | true |
66c4576055eb6d6cdeb90a47765fa5c9d39c3d32 | Python | springdew84/my-test-py | /zookeeper/main.py | UTF-8 | 1,524 | 2.59375 | 3 | [] | no_license | # -*- coding:utf-8 -*-
import sys
#from kazoo.client import KazooClient
import logging
logging.basicConfig(level=logging.ERROR)
# local service dir
LOCAL_SERVICE = '/services/local-service'
class PyZooConn(object):
# init function include connection method
def __init__(self):
#self.zk = KazooClient... | true |
ab5278dad18421b0282ffa17476bbd8fc0983994 | Python | hzcheng/wikipedia-like-web-search-engine | /hadoop/mapreduce/map1.py | UTF-8 | 805 | 3.390625 | 3 | [] | no_license | #!/usr/bin/python3
'''
Map file to read each document and and get the term frequency of each word.
output: word docid
'''
import sys, re
# get the set of stop words.
stopwords = set()
with open('./stopwords.txt','r') as f:
for line in f:
stopwords.add(line.strip())
line_counter = -1
for line in sys.... | true |
d5511012cba12e11a29148b694d9ace3023be3ff | Python | tatsumanu/Mc_Gyver | /main.py | UTF-8 | 3,245 | 3.234375 | 3 | [] | no_license | import pygame
import os
from pygame.locals import *
from fonctions import load_image, create_a_text_object, message, victory
from classes import Player, Map, Object
pygame.init()
# variables
name = ''
menu = 1
sprite = 32
play_game = True
# creating the screen game window
window = pygame.display.set_mode((480, 480))... | true |
a037e286ed68afa9a83056bd334cf235235d959f | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_199/1798.py | UTF-8 | 1,178 | 2.9375 | 3 | [] | no_license |
class TestCase:
def __init__(self, n, data, f):
self.n = n
self.data = data
self.flip = f
self.result = conv(self.data, self.flip)
def p(self):
return 'Case #{}: {}\n'.format(self.n,self.result)
def map(strarry):
v = strarry.split(' ')
r = []
for u in v:... | true |
6baa9f7403a1e35b71bd96f8d1aaa062e074fffa | Python | guoweiyu/NinaTools | /ninapro_example.py | UTF-8 | 1,232 | 2.546875 | 3 | [] | no_license | from ninaeval.config import config_parser, config_setup
from ninaeval.utils.nina_data import NinaDataParser
DATA_PATH = "all_data/"
MODEL_PATH = "all_models/"
def main():
# Reads JSON file via --json, or command line arguments:
config_param = config_parser.parse_config()
feat_extractor = config_setup.g... | true |
1224da19d1f36dc206f4e34ef17fdf69c93db33a | Python | Aasthaengg/IBMdataset | /Python_codes/p04044/s238246335.py | UTF-8 | 79 | 2.953125 | 3 | [] | no_license | n,l=map(int,input().split());print(*sorted([input() for _ in range(n)]),sep='') | true |
2676c72e15e3bf83670f74d910e48981ad88e4ae | Python | neu-vi/ezflow | /ezflow/functional/criterion/sequence.py | UTF-8 | 1,446 | 2.734375 | 3 | [
"MIT"
] | permissive | import torch
import torch.nn as nn
from ...config import configurable
from ..registry import FUNCTIONAL_REGISTRY
@FUNCTIONAL_REGISTRY.register()
class SequenceLoss(nn.Module):
"""
Sequence loss for optical flow estimation.
Used in **RAFT** (https://arxiv.org/abs/2003.12039)
Parameters
----------... | true |
22cdb807dc1dd63bc932174edb664cad72ea3b26 | Python | guard1000/2018_SKKU_Problem-Solving-Algorithms | /11주차_함수_코드.py | UTF-8 | 2,861 | 4.25 | 4 | [] | no_license | #1
def ormchasun(x,y,z):
if x>y:
x,y = y,x
if y>z:
y,z = z,y
if x>y:
x,y = y,x
print(x,y,z)
a = int(input('첫번째 정수 : '))
b = int(input('두번째 정수 : '))
c = int(input('세번째 정수 : '))
print('입력:',a,b,c)
print('오름차순:', end=' ')
ormchasun(a,b,c)
#2 버블정렬
def bubble_sort(data):
... | true |
5c483e217fdf7695a57918289a605142c247bf92 | Python | mossbanay/Codeeval-solutions | /swap-case.py | UTF-8 | 129 | 3.234375 | 3 | [
"MIT"
] | permissive | import sys
with open(sys.argv[1]) as input_file:
for line in input_file.readlines():
print(line.strip().swapcase())
| true |
c0cb45f081a0dd765b30d3f77aa64a5506fc7db1 | Python | RajanaGoutham/Python | /Natural Language Interface Database/Query.py | UTF-8 | 2,444 | 2.78125 | 3 | [] | no_license | class Query:
import pymysql
f=open("StopWords.txt","r")
list1=[]
for k in f:
k=k.replace('"','')
list1.append(k.strip())
#print(list1)
q=input("Enter Question:\n")
arr=[]
qn=q.split(" ")
for i in qn:
#print(i)
if i not in list1:
arr.appen... | true |
3bff4959e123dacd5922127ff96480f51469ffdd | Python | jakudapi/aoc2016 | /day08-1.py | UTF-8 | 3,792 | 4.1875 | 4 | [] | no_license | """
--- Day 8: Two-Factor Authentication ---
You come across a door implementing what you can only assume is an implementation of two-factor authentication after a long game of requirements telephone.
To get past the door, you first swipe a keycard (no problem; there was one on a nearby desk). Then, it displays a cod... | true |
923ca8285e370c66dbcc7b211f094f2c0589725c | Python | Sayak09/IPL_Powerplay_ScorePrediction | /predictor.py | UTF-8 | 3,474 | 2.546875 | 3 | [] | no_license |
def predictRuns(testInput):
prediction = 0
import tensorflow as tf
import pandas as pd
model = tf.keras.models.load_model("model.h5",compile=False)
df2=pd.read_csv(testInput)
ven=df2.iloc[:,0].values
inn=df2.iloc[:,1].values
bat_team=df2.iloc[:,2].values
bowl_te... | true |
5dc8faa80f3118cb685f25c6b60f573e25f2e9eb | Python | lemonade512/DotFiles | /cli/system_info.py | UTF-8 | 869 | 2.84375 | 3 | [] | no_license | """ Tools for retrieving information about user's system.
The install script in this repository aims to support as many environments as
possible, and each environment has its own tools for package management and
configuration. The tools in this file are meant to detect information about the
current system in a portabl... | true |
5395b967f59fe2531d62f9b55389e19ae8e1f32b | Python | karolmikolajczuk/Hackerrank-Python | /merge_the_tools.py | UTF-8 | 1,491 | 3.765625 | 4 | [] | no_license | #split string into groups
def get_substrings(text, nr_of_substr, k):
#create a list with precised size
list_of_strings = []
#iterate through whole string
for index in range(0, nr_of_substr*k, k):
list_of_strings.append(text[index:index+k])
#return the list
return list_of_strings
#dist... | true |
0ce6b06bcfe644b5eb3ae501121141fda74b8034 | Python | adrianstaniec/advent_of_code | /10/sol.py | UTF-8 | 878 | 3.375 | 3 | [] | no_license | from collections import Counter
adapters = []
while True:
try:
adapters.append(int(input()))
except Exception as e:
break
print(adapters)
adapters.sort()
adapters = [0] + adapters + [adapters[-1] + 3]
print(adapters)
diffs = [adapters[i + 1] - adapters[i] for i in range(len(adapters) - 1)]
# ... | true |
dfbaae8eaa94b21495e8861ffcb641699cc3f194 | Python | gkaframanis/roommates-bill | /reports.py | UTF-8 | 1,686 | 3.375 | 3 | [] | no_license | import webbrowser
from fpdf import FPDF
import os
class PdfReport:
"""
Creates a Pdf file that contains data about the flatmates
such as their names, their due amount and the period of the bill.
"""
def __init__(self, filename):
self.filename = filename
def generate(self, bil... | true |
28b61fe2976dac91882bd5ec26cb8f2f9173abc8 | Python | aletcherhartman/pong.py | /Old Files/paddel.py | UTF-8 | 818 | 3.078125 | 3 | [] | no_license | VIPERimport pygame
import math
class paddel(object):
"""docstring for paddel"""
def __init__(self, arg):
self.X = 30
self.Y = 30
self.change_x = 0
self.change_y = 0
def makePaddel(self):
paddel = paddel()
# Hide the mouse cursor
pygame.mou... | true |
f8923e83f1b39622aa29a578535efbf72f79ba10 | Python | suzySun345/algorithm011-class02 | /Week_02/589.n叉树的前序遍历.py | UTF-8 | 640 | 3.28125 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=589 lang=python
#
# [589] N叉树的前序遍历
#
# @lc code=start
"""
# Definition for a Node.
class Node(object):
def __init__(self, val=None, children=None):
self.val = val
self.children = children
"""
class Solution(object):
def preorder(self, root):
"""
:type... | true |
690875d333af22341eafc7f466fe7a048d383b42 | Python | ritesh-deshmukh/Algorithms-and-Data-Structures | /180Geeks/Arrays/Kadane's Algorithm.py | UTF-8 | 472 | 4.40625 | 4 | [] | no_license | # Given an array containing both negative and positive integers. Find the contiguous sub-array with maximum sum.
# arr = [1,2,3]
arr = [-1,-2,-3,-4]
size = len(arr)
def max_subarray(arr, size):
max_arr = arr[0]
curr_max = arr[0]
for i in range(1,size):
curr_max = max(arr[i], curr_max + arr[i])
... | true |
d184ee8c4a3efedb1f76eb88b3b1eff928a30e0f | Python | pshevade/Udacity_project_2 | /tournament.py | UTF-8 | 19,354 | 3.3125 | 3 | [] | no_license | #!/usr/bin/env python
#
# tournament.py -- implementation of a Swiss-system tournament
#
import psycopg2
import random
import math
import bleach
def connect():
"""Connect to the PostgreSQL database. Returns a database connection."""
DB = psycopg2.connect("dbname=swiss_style")
return DB, DB.cursor()
def... | true |
1fec056289fb0e90174ab903bc40bc546e70bda7 | Python | junyang10734/leetcode-python | /713.py | UTF-8 | 566 | 3.359375 | 3 | [] | no_license | # 713. Subarray Product Less Than K
# Two pointers (sliding window)
# https://blog.csdn.net/fuxuemingzhu/article/details/83047699
# running time: faster than 63.76%
class Solution:
def numSubarrayProductLessThanK(self, nums: List[int], k: int) -> int:
N = len(nums)
prod = 1
l, r = 0, 0
... | true |
f8bbcea5255c7796fa2552f2481dc2df2171b9c3 | Python | adambemski/Python-Snake-Game | /conf.py | UTF-8 | 472 | 2.765625 | 3 | [] | no_license | import configparser
config = configparser.ConfigParser()
config.read('config.ini')
display_horizontal_size_x = int(config['display']['horizontal_size_x'])
display_vertical_size_y = int(config['display']['vertical_size_y'])
x1 = int(config['snake']['start_point_x'])
y1 = int(config['snake']['start_point_y'])
snake_si... | true |
6faaffb98e148510c93f045a379622d7925d62bb | Python | moritzschaefer/unsupervised-text-detection | /src/predict_test_img.py | UTF-8 | 6,902 | 2.875 | 3 | [] | no_license | #!/usr/bin/env python3
'''
This is the central main file combining all the prediction functionality.
It fetches images from config.TEST_IMAGE_PATH and predicts the parts with text
contained and the characters contained.
TODO: integrate better character_recognition from notebook
TODO2: save outputs as: for each input i... | true |
627f206ab368c13e5fe88654fee79007ee5dcc31 | Python | JuneKim/algorithm | /ProblemSolving/LeetCode/1935_Maximum Number of Words You Can Type.py | UTF-8 | 891 | 3.359375 | 3 | [] | no_license | # runtime: 93.91%, memory: 56.52%
class Solution:
def canBeTypedWords(self, text: str, brokenLetters: str) -> int:
li_txt = text.split(" ")
myCnt = 0
for txt in li_txt:
is_found = False
for broken in brokenLetters:
if broken in txt:
... | true |
1e3764a9f3c93441200d68821f85546165e6d58b | Python | CodeTest-StudyGroup/Code-Test-Study | /JangWoojin/[5]백준/2014_소수의 곱.py | UTF-8 | 354 | 2.90625 | 3 | [] | no_license | import sys
from heapq import heappush, heappop, heapify
input = sys.stdin.readline
k, n = map(int, input().split())
primes = list(map(int, input().split()))
hq = primes.copy()
heapify(hq)
num = 0
for _ in range(n):
num = heappop(hq)
for prime in primes:
heappush(hq, prime * num)
if num % prime =... | true |
0916f474067ac371f65f4f46279de8176a141a7e | Python | 2q45/Python-crash-course | /2-12.py | UTF-8 | 277 | 4 | 4 | [] | no_license |
bicycles = [1,2,3,4]
print(f"My first bicycle was a {bicycles[1]}")
print(f"{bicycles}")
print(bicycles[1])
print(bicycles[3])
print(bicycles[0])
names = ["faiz","Akshat","Avi","Dhruv","Krishna"]
print(f"\n{names[0]},\n{names[1]},\n{names[2]},\n{names[3]},\n{names[4]},\n") | true |
c95bd9f3627aa0128458a805c0c085c0b4ad3359 | Python | BoChenGroup/EnsLM | /mATM/losses/LossFunctions.py | UTF-8 | 4,434 | 3.484375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
---------------------------------------------------------------------
-- Author: Jhosimar George Arias Figueroa
---------------------------------------------------------------------
Loss functions used for training our model
"""
import math
import torch
import numpy as np
from torch import... | true |
2309c6c9ad2b06b974aa744de3dae14d93af98be | Python | mkebrahimpour/DataStructures_Python | /thinkpython/functions.py | UTF-8 | 304 | 3.765625 | 4 | [] | no_license | # Math Functions
import math
print math
print math.sqrt(4)
# New Functions
def print_lyrics(bruce):
print "--------------------------------"
print "I'm a lumberjack, and I'm okay."
print "I sleep all night and I work all day."
print "Printing Argument:",bruce
print_lyrics('Spam\t' * 4)
| true |
e1ad8077724054a52c0a4b2c321b202a7b095488 | Python | JMass1/curso_python | /desafios/DESAFIO 70.py | UTF-8 | 904 | 3.921875 | 4 | [] | no_license | #PROGRAMA PARA CADASTRAR PRODUTOS E PREÇOS
preco = soma = count = mpreco = 0
nome = saida = nbarato = ''
while True:
print('-'*20)
print('CADASTRE UM PRODUTO')
print('-'*20)
nome = str(input('Nome do Produto: ')).strip()
preco = int(input('Preço do Produto: '))
print('-'*20)
soma += preco
... | true |
b10684eb18ffd376faa3187343e1632913ec1b8d | Python | Spirent/cf-netsecopen-tests | /cf_common/CfRunTest.py | UTF-8 | 102,933 | 2.703125 | 3 | [
"MIT"
] | permissive | import json
import logging
import time
import sys
import os
import numpy as np
import pandas as pd
import pathlib
import sys
import math
from dataclasses import dataclass
script_version = 1.80
project_dir = pathlib.Path().absolute().parent
sys.path.append(str(project_dir))
from cf_common.CfClient import *
class R... | true |
5ec5a4bc6491d2c8a251413bbd10bf7801777cfd | Python | barcern/python-crash-course | /chapter4/4-12_more_loops.py | UTF-8 | 534 | 4.15625 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed May 6 09:10:41 2020
@author: barbora
"""
# Choose a version of foods.py from the book and print using for loops.
# Using foods.py from the book
my_foods = ['pizza', 'falafel', 'carrot cake']
friend_foods = my_foods[:]
my_foods.append('cannoli')
friend_foods.append('ice-cre... | true |
6742277e91826ea4a7b2be9957a372c18730623d | Python | NathanZorndorf/cheat-sheets | /Modules/Numpy/Numpy Cheat Sheet.py | UTF-8 | 333 | 3.34375 | 3 | [] | no_license | #----------------------- NUMPY CHEAT SHEET -------------------------#
import numpy as np
#--------- 2D ----------#
# Create 2D array
a = np.array([[1,2,3],
[4,5,6]])
# index to reference entire first row
a[0] # output => array([1, 2, 3])
a[1, -2:] # output => index to reference last two column values i... | true |
afed8508ee701b8b414e91d4a6428fbb9eeac579 | Python | tachyon77/flat-resnet | /dataset.py | UTF-8 | 1,564 | 2.75 | 3 | [] | no_license | """Dataset class.
Author:
Mohammad Mahbubuzzaman (tachyon77@gmail.com)
"""
import logging
import torch.nn.functional as F
import torch.utils.data as data
from torch.utils.data import dataset
import torch
import ujson as json
from collections import Counter
class ImageDataset(data.Dataset):
"""Random Dataset.... | true |
44ce1b0e8ce2e634d6bb04690b3d3b4f6d9a36f9 | Python | artificialsoph/py_prac | /tests/test_pymat.py | UTF-8 | 2,101 | 2.78125 | 3 | [] | no_license | from click.testing import CliRunner
from pymatrix import main
def assert_sub_out(command, output):
runner = CliRunner()
result = runner.invoke(main, command)
assert result.exit_code == 0
assert result.output == output
def test_import():
"""
test all the input types using the sample data
... | true |
80f9be7b604809dc0f596b085c578fcf74277755 | Python | Dennysro/Python_DROP | /9.0_List_Comprehension.py | UTF-8 | 1,448 | 4.46875 | 4 | [] | no_license | """
List Comprehension:
- Utilizando list comprehension nós podemos gerar novas listas com dados processados
a partir de outro iterável.
# Sintaxe da List Comprehension
[dado for dado in iterável]
# Exemplos:
# 1
numeros = [1, 2, 3, 4, 5]
res = [numero*10 for numero in numeros]
print(res)
... | true |
abb619392a2595a6398247604ba9aec573884e2c | Python | Erich6917/python_littlespider | /demo/beautiful/youku/YoukuDemo.py | UTF-8 | 2,087 | 2.625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# @Time : 2018/3/26
# @Author : LIYUAN134
# @File : YoukuDemo.py
# @Commment:
#
import urllib, urllib2, sys, os
from bs4 import BeautifulSoup
import itertools, re
url_i = 1
pic_num = 1
# 自己定义的引号格式转换函数
def _en_to_cn(str):
obj = itertools.cycle(['“', '”'])
_obj = la... | true |
0a8d01f90e6011b865ae553be8b3c79c0d8abe51 | Python | sourcepirate/tailow | /tailow/fields/reference.py | UTF-8 | 941 | 2.640625 | 3 | [
"MIT"
] | permissive | """ reference field """
from bson.objectid import ObjectId
from .base import BaseField
class ReferenceField(BaseField):
""" Reference field property """
def __init__(self, kls, *args, **kwargs):
self.kls = kls
self._is_reference = True
self._partialy_loaded = kwargs.pop("_is_partialy... | true |
8dfdebe0945f30602b50053435da8871f5e0fc89 | Python | SoufianLabed/serverUDP-TCP | /tcpclient.py | UTF-8 | 1,266 | 3.09375 | 3 | [] | no_license | import socket
import sys
class tcpclient:
def __init__(self):
self.PORT=int(sys.argv[1]) # initialise le port et l'IP (broadcast)
self.IP = sys.argv[2]
self.sock = socket.socket(socket.AF_INET, # création du s... | true |
dfe7602410da308d1ad8da255c62fd9932d1a00d | Python | wangfin/QAsystem | /QAManagement/question_generalization/similarity_test.py | UTF-8 | 672 | 2.75 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# @Time : 2018/8/15 15:25
# @Author : wb
# @File : similarity_test.py
# 相似度计算的测试
from QAManagement.question_generalization.similarity import Similarity
import time
similarity = Similarity()
question = '入党 积极分子 的 培养 联系人 什么时候 确定 ？'
model_list = ['入党 积极分子 的 培养 联系人 什么时候 确定 ？','护卫队 到底 什么时候... | true |
fddb339d9106262b651186884a85cfe73ddd71ae | Python | Gi1ia/TechNoteBook | /Algorithm/051_N_Queens.py | UTF-8 | 1,754 | 3.5 | 4 | [] | no_license | class Solution:
def solveNQueens(self, n):
"""
:type n: int
:rtype: List[List[str]]
"""
if not n or n < 1:
return [[]]
arrangements = []
self.dfs([], arrangements, n)
summary = []
# draw summary of boards
for arrangement i... | true |
625d2a1e13ae6c7ddadcdb587d55968babdd6a29 | Python | LeoTheMighty/beginner_python_exercises | /ReverseWordOrder.py | UTF-8 | 169 | 3.890625 | 4 | [] | no_license | sentence = input("Give me a cool sentence and I'll reverse it...\n")
sent_list = sentence.split(" ")
reverse_sent = reversed(sent_list)
print(" ".join(reverse_sent))
| true |
15295d523b8ecde68a6293610bc196a03d445e0c | Python | sajidamohammad/hackerearths | /sherlocknnum.py | UTF-8 | 289 | 2.515625 | 3 | [] | no_license | test=int(raw_input())
for i in range(test):
nkp=map(int,raw_input().split(" "))
remove=map(int, raw_input().split(" "))
final=range(1,6)-remove
print sorted(final)[]
''' out.append(int(raw_input()))
for j in range(len(out)):
if out[j] in arr:
print "YES"
else:
print "NO"'''
| true |
056b5583ef5619d9ef8cca646374281f08ee14a3 | Python | gschen/sctu-ds-2020 | /1906101074-王泓苏/Day0303/test07.py | UTF-8 | 315 | 3.28125 | 3 | [] | no_license | class Test01():
def __init__(self):
self.t1='我是父类'
def f(self):
return '爸爸'
class Test02():
def __init__(self):
self.t2='我是子类'
def f(self,object):
print(object.f())
a=Test01()
def main(object):
print(object.f())
return '123'
print(main(a)) | true |
234f9d0be069bd885e1b1e25db82bd2eb4e0e97e | Python | EliasFarhan/CompNet | /rdt/rdt21.py | UTF-8 | 2,839 | 2.765625 | 3 | [] | no_license | from rdt.base import *
from rdt.rdt20 import ChannelRdt20
class SenderRdt21(Sender):
last_packet = ""
sequence_nmb = 1
msg_lock = threading.Lock()
def send_data(self, data, resend=False):
if not resend:
self.msg_lock.acquire()
self.last_packet = data
text_data = da... | true |
9ecc4638f0729aa433de14f071ad253d523109e3 | Python | aydan08/Python-Kursu-15.02.21 | /HAFTA-3/DERS-7/FOR_DÖNGÜSÜ/for_2.py | UTF-8 | 359 | 3.921875 | 4 | [
"MIT"
] | permissive | #1 den 100 e kadar olan tek sayıların toplamı
toplam = 0
for tek_sayi in range(1,100,2): #(1 DAHİLDİR,100 DAHİL DEĞİLDİR,+2 ARTIŞ MİKTARIDIR)
toplam = toplam + tek_sayi
else:
print("...Döngü Bitti...")
print("Tek Sayıların Toplamı: ", toplam) #yerine alttaki de kullanılıyorr
print(f"Tek Sayıların T... | true |
110efd1c0795ca3ac85e696270fb8a487df37694 | Python | skvrd/leetcode.py | /problems/1267/solution.py | UTF-8 | 534 | 2.59375 | 3 | [
"MIT"
] | permissive | from typing import List
class Solution:
def countServers(self, grid: List[List[int]]) -> int:
connected = 0
n = [0] * len(grid)
m = [0] * len(grid[0])
for i in range(len(n)):
for j in range(len(m)):
if grid[i][j] == 1:
n[i] += 1
... | true |
c5c5fdde707822de21042076b397011c51543709 | Python | bioless/Xenocrates | /xenocrates-update-2018.py | UTF-8 | 9,057 | 2.984375 | 3 | [] | no_license | #!/usr/bin/python
import sqlite3 as sql
import sys
import operator
import re
import cgi
import time
import csv
from collections import OrderedDict
#Global Variables
tablename = "SANS575_index"
index = []
#Reads the CVS file into Index List
filename = sys.argv[1]
with open(filename, 'rU') as f:
... | true |
5afaa636bb63cf51d4ccb115808547b30adb6ab2 | Python | wdan/territories | /territories/models/dblp_io.py | UTF-8 | 9,183 | 2.59375 | 3 | [] | no_license | __author__ = 'wenbin'
import igraph as ig
import scipy.io as sio
class DBLP(object):
def __init__(self, venue_id_list, fileName, type='paper', path='territories/data/dblp/'):
venue_id_list.sort()
self.venue_id_list = venue_id_list
self.path = path
self.file_name = fileName+'_'+ty... | true |
27df8c7d87eea29d1cfc381b72c896df1217a0cf | Python | olgashemagina/Milk_Data | /crossval.py | UTF-8 | 1,322 | 2.53125 | 3 | [] | no_license | import os
import random
import sys
import shutil
path = sys.argv[1]
enroll_part = 0.3 #sys.argv[2]
classes_part = 0.5
os.chdir(path)
if os.path.exists(os.path.join(path, 'database')):
shutil.rmtree(os.path.join(path, 'database'))
os.mkdir(os.path.join(path, 'database'))
os.mkdir(os.path.join(path, 'database',... | true |
17acc2ff8cc6b0a7298b9b5af834415597b2e550 | Python | dumbman/epicf | /SpatialMesh.py | UTF-8 | 14,128 | 2.625 | 3 | [
"MIT"
] | permissive | import sys
from math import ceil
import numpy as np
from Vec3d import Vec3d
class SpatialMesh():
def __init__(self):
self.x_volume_size = None
self.y_volume_size = None
self.z_volume_size = None
self.x_cell_size = None
self.y_cell_size = None
self.z_cell_size = None... | true |
e2c51958600316315a9c2fa4990a545931bafe11 | Python | AdrianJohnston/ShapeNetRender | /Emitter.py | UTF-8 | 1,967 | 2.890625 | 3 | [] | no_license | from __future__ import print_function
from mitsuba.core import *
class EmitterType:
SUN_SKY = 'sunsky'
SKY = 'sky'
SUN = 'sun'
DIRECTIONAL = 'directional'
CONSTANT = 'constant'
class Emitter:
def __init__(self, emitter_type, sample_weight=1.0, to_world=Transform()):
self.type = emitt... | true |
e1ac1670fc2847f09106f53b025921bdfc9f96a9 | Python | e185725/atcoder_practice | /180/c.py | UTF-8 | 292 | 3.0625 | 3 | [] | no_license | import math
N = int(input())
d = int(math.sqrt(N)) + 1
ans = []
ans_2 = []
#print(d)
for i in range(1,d):
if (N % i == 0):
ans.append(i)
if(i != int(N/i)):
ans_2.append(int(N/i))
for ans in ans:
print(ans)
for ans_2 in reversed(ans_2):
print(ans_2)
| true |
8ac8b294fc55b931978a8e0a1f901a0f89f03940 | Python | heldersepu/hs-scripts | /Python/pyGTK.py | UTF-8 | 795 | 2.703125 | 3 | [] | no_license | #!/usr/bin/env python
## pyGTK template
import pygtk
pygtk.require('2.0')
import gtk
class MyProgram:
def __init__(self):
# create a new window
app_window = gtk.Window(gtk.WINDOW_TOPLEVEL)
app_window.set_size_request(500, 350)
app_window.set_border_width(10)
... | true |
5105a26484b10537574bb5734e1e91580683ab47 | Python | Shubhamsm/youtube-auto-comments | /youtube.py | UTF-8 | 1,662 | 2.90625 | 3 | [] | no_license | import pyautogui
import time
from bs4 import BeautifulSoup
import requests
Keywords=["Neural Networks","data Science"] # keywords it search to get list of urls
msg="hello" # message to comment Can
def Links_list(keywords):
'''
give a list of urls which bot will commen... | true |
cf4b4566357aa3d036ceec834ee4438b45825c81 | Python | Brain-0ut/Vielit_Python_HW | /Abto_CV_AI_2022_Camp_var_B/test2.py | UTF-8 | 1,324 | 3.375 | 3 | [] | no_license | from typing import List
import random as r
def task1(x: List[int]) -> bool:
###
"""Write your code here"""
###
lenght = len(x)
if lenght < 2:
return False
elif lenght == 2:
if x[0] == x[1]:
return True
else:
return False
x.sort()
print(x)... | true |
bbfde0d9d4b496aaa72d20ff643f6e8fd82fb218 | Python | Debdeep1998/Backtracking_rush | /gray_code.py | UTF-8 | 303 | 2.890625 | 3 | [] | no_license | n=int(input())
a=list()
for i in range(n):
a.append('0')
print (a)
def gray(i):
if(i==n-1):
print("".join(a))
a[i]='1' if(a[i]=='0')else('0')
print("".join(a))
return
c=1
while (c<=2):
gray(i+1)
if(c!=2):
a[i]='1' if(a[i]=='0')else('0')
c+=1
gray(0)
| true |