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 |
|---|---|---|---|---|---|---|---|---|---|---|
302feb5b3451a319bb046e4182632bb4420504e1 | SPTime19/data-scraper | /scraper/utils/util.py | UTF-8 | 972 | 2.921875 | 3 | [] | no_license | import os
import json
from pathlib import Path
def check_folder(base) -> str:
base_path = base if base is str else str(base)
if not os.path.isdir(base_path):
print("{} not found! Creating folder...".format(base_path))
try:
if len(base_path.split("/")) == 1:
os.mkdir... | true |
23159a415f418d603e8a9a001ee4cbafe883bb73 | FabioFernandesCosta/HanoiTowerCommandLine | /JogadoresAutomatizados/dfs.py | UTF-8 | 5,411 | 3.03125 | 3 | [] | no_license | from Jogo.torre import torre
from Jogo.game import game
from JogadoresAutomatizados.node import node
from Jogo.regras import regras
from copy import deepcopy
class dfs:
#espacos_ja_visitados = None
estado_atual, pilha_de_decisoes, caminho_da_vitoria, jogo = None, None, None, None
# espacos_ja_visitad... | true |
b6f70802ac1e20946f7cd36f48eb4121fbc24ba9 | yangzongwu/mynote | /04 Django/教程二/006 Models-Templates-Views.py | UTF-8 | 1,804 | 2.796875 | 3 | [] | no_license | '''
how to connect Models-Templates-Views we call "MTV"
1.In the views.py file we import any models that we will need to use
2.Use the view to query the model for data that we will need
3.Pass results from the model to the template
4.Edit the template so that it is ready to accept and display the data from the model
5.... | true |
870f950b4ea090eb70f16986c066d44bab2a215d | ufv-ciencia-da-computacao/CCF110 | /lista1/ex15.py | UTF-8 | 112 | 3.875 | 4 | [] | no_license | num = int(input())
if num > 0:
print("Positivo")
elif num < 0:
print("Negativo")
else:
print("Nulo") | true |
95201f951a060064ba67a2669743f28728ca2408 | MariusR96/SaaS-Flask-App | /lib/money.py | UTF-8 | 219 | 3.703125 | 4 | [] | no_license | def cents_to_dollars(cents):
"""
Convert cents to dollars
"""
return round(cents/100.0, 2)
def dollars_to_cents(dollars):
"""
Convert dollars to cents.
"""
return int(dollars * 100)
| true |
a48e6c1e386b8dd58f336e32b90703bd16e43a4c | NREL/Industry-energy-data-book | /code/Get_GHGRP_data_IEDB.py | UTF-8 | 4,289 | 2.5625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Last updated 7/27/2017 by Colin McMillan, colin.mcmillan@nrel.gov
"""
#
import pandas as pd
import requests
import xml.etree.ElementTree as et
import sys
def xml_to_df(xml_root, table_name, df_columns):
"""
Converts elements of xml string obtained from EPA envirofact (GHGRP)
to ... | true |
9460fab1c53e565fe9534687f08e6277b93abcf8 | sabsolle/U3-Data-Analysis | /DataPreparationFunS1/main.py | UTF-8 | 4,454 | 3.6875 | 4 | [] | no_license | import math
import numpy as np
# warmup task
def get_column(table, header, col_name):
col_index = header.index(col_name)
col = []
for row in table:
# ignore missing values ("NA")
if row[col_index] != "NA":
col.append(row[col_index])
return col
def get_min_max(values):
... | true |
b27f983f3a7cb363b219b3e764a6ca1695f4baaa | CS-Capstone-Fall-2020-AU/Grapevine | /backend/api/model/data/dataset_building.py | UTF-8 | 1,277 | 2.65625 | 3 | [] | no_license | import pandas as pd
from os import listdir, path
def build_positive(p):
p = p + 'positive_polarity/'
t = p + 'truthful/'
pos_true = listdir(t)
f = p + 'deceptive/'
pos_false = listdir(f)
tru = []
dec = []
for x in pos_true:
n = open(path.join(t, x), 'r')
tru.append((n... | true |
ccb7bd9339ba612ea814e2ce95c995c8cd8e5fcd | vonalan/Deep-Encoder-Decoder-Networks | /keras-dcgan/extractor.py | UTF-8 | 2,817 | 2.515625 | 3 | [] | no_license | import os
import sys
import numpy as np
import cv2
import tensorflow as tf
# import tensorflow.gfile as gfile
def create_video_lists(video_dir):
if not tf.gfile.Exists(video_dir):
tf.logging.error("Video directory '" + video_dir + "' not found. ")
return None
results = dict()
sub_dirs = ... | true |
69277a28f1475b6f9251aa368065ea302fd81395 | tungsteen/minimal-django-site | /todo/tests.py | UTF-8 | 1,581 | 2.6875 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | from django.test import TestCase
from django.test import Client
from .models import Todo
class TodoModelTests(TestCase):
def setUp(self):
Todo.objects.create(text='First Todo', done=False)
Todo.objects.create(text='Second Todo', done=True)
def test_full_todo(self):
todo1 = Todo.obje... | true |
f85028b667172a9b56f0c6f0ad42c4f2982664fd | SiGae/DnF_searchbot | /app/AuctionSearch.py | UTF-8 | 2,389 | 2.875 | 3 | [] | no_license | import json
import urllib.request
import urllib.parse
import ssl
import app.bot_private as code
def NumberSlice(number) -> str:
return format(number, ",")
def SearchAuction(itemName, search_type) -> str:
item_name = itemName
if search_type == 'full' and " " in item_name:
item_name = "\'" + item_na... | true |
a33c46fdcab0b9f48894147b1d9f7161286a1d44 | mboker/HackerrankProblems | /HR_Bit_Manip/TheGreatXOR.py | UTF-8 | 347 | 3.40625 | 3 | [] | no_license | def theGreatXor(x):
values = 0
index = 0
while x > 0:
if not x & 1:
values += 2**index
x = x >> 1
index += 1
return values
file = open('TheGreatXOR.txt', 'r')
q = int(file.readline().strip())
for a0 in range(q):
x = int(file.readline().strip())
result = theGr... | true |
3d31922c31e38ec893651f160f0f724e43399450 | cruizperez/Bioinformatic_Tools | /02.Scripts/table_dereplication.py | UTF-8 | 2,948 | 2.921875 | 3 | [] | no_license | #!/usr/bin/env python
"""
# ==============================================================================
# Author: Carlos A. Ruiz-Perez
# Email: cruizperez3@gatech.edu
# Institution: Georgia Institute of Technology
# Version: 0.1
# Date: April 30, 2021
# Description:
# =============================... | true |
fbed42fe5f737566528c87b5bb87b46949df78b7 | mskoko/Voice-assistant | /services/speech/stt_service.py | UTF-8 | 2,681 | 2.96875 | 3 | [] | no_license | import speech_recognition as sr
from config.config import *
from services.common.action_result import ActionResult
class SpeechRecognizer:
def __init__(self, recognition_api="google", language="en-us"):
self._recognizer = sr.Recognizer()
# below energy_threshold is considered silence, above speec... | true |
54ecfa382f889e30ea5b514568043b27e450d6c3 | fugufisch/hu_bp_python_course | /Project/model.py | UTF-8 | 4,026 | 2.640625 | 3 | [
"MIT"
] | permissive | import processes as proc
import molecules as mol
import logger as loggy
import visualization as vis
import replication as rep
import random
import Input.KnowledgeBase as know
class Model(object):
"""
Initializes the states and processes for the model and lets the processes update their corresponding states.
... | true |
4465f6ded8bbb4fb42474e7d5a87500feba0f9e4 | aaaaaachen/PY1901_0114WORK | /days06/demo05.py | UTF-8 | 1,720 | 3.4375 | 3 | [] | no_license | '''
'''
import random
cards = []
while True:
print("********************************")
print(" 1.註冊")
print(" 2.登錄")
print(" 3.退出")
print("********************************")
choice = input("請輸入選項")
if choice == "1":
while True:
... | true |
ea5ac4c9502226bdddf4e0c29af5cc92fab5ebb4 | alvaro-root/pa2_2021 | /tk_temp_converter.py | UTF-8 | 3,367 | 3.28125 | 3 | [
"MIT"
] | permissive | from tkinter import *
from tkinter import ttk
from tkinter import messagebox
class GUI:
def __init__(self, parent):
self.parent = parent
self.parent.title("Temperature Converter")
self.parent.protocol("WM_DELETE_WINDOW", self.catch_destroy)
self.main_frame = Frame(self.parent, pad... | true |
12466779cbe7054936545829c1f5d83ca54e905b | sethgraceb/ML-Week-4-Assignment | /as4q2c1.py | UTF-8 | 1,872 | 3.203125 | 3 | [] | no_license | #Q(ii)(c) - logistic regression final
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rc('font', size=18); plt.rcParams['figure.constrained_layout.use'] = True
plt.rcParams['figure.figsize'] = (10.0, 5.0)
df = pd.read_csv("week4.csv", comment = '#')
#feature values
X1 = np.array(df.il... | true |
4de4df3b91dc0db32b8f13ffd0e4e4d5c444baf9 | yoonkh2000/ncaacheck | /Test.py | UTF-8 | 1,525 | 2.796875 | 3 | [] | no_license | import pandas as pd
from os import listdir
from os.path import isfile, join
import scipy as sp
import operator
import csv
mypath = "./Data/pred"
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
def llfun(act, pred):
epsilon = 1e-15
pred = sp.maximum(epsilon, pred)
pred = sp.minimum(1-e... | true |
19ad5e99e482d995c7b7dd1068eb5d16461b9484 | TechnionYearlyProject/SummitBTW | /statistics/statistic_printer.py | UTF-8 | 604 | 3.359375 | 3 | [] | no_license |
from prettytable import PrettyTable
class StatisticsPrinter(object):
def print(self, *args):
pass
class NormalPrinter(StatisticsPrinter):
def __init__(self, statistics):
self._stats = statistics
def print(self):
for s_key, s_val in self._stats.items():
print(s_ke... | true |
3dfa7e211fdd1a4f7ee0602448b9ab9841d38500 | goranobad1407/python_learn | /4_2048.py | UTF-8 | 2,514 | 3.421875 | 3 | [] | no_license |
#Felix Bittmann, 2020
import random
import itertools
def combine(numbers):
numbers = [z for z in numbers if z != 0]
for z in range(0, len(numbers) - 1):
if numbers[z] == numbers[z + 1]:
numbers[z] = numbers[z] * 2
numbers[z + 1] = 0
numbers = [z for z in numbers if z != 0]
return numbers + [0 for z i... | true |
e69b7eeea70b399803eeb403863bc502449ebc37 | santoscaj/CSEC-Final-Project- | /Python/myGUI.py | UTF-8 | 736 | 2.78125 | 3 | [] | no_license | import sys
from tkinter import *
from PyQt4 import QtGui
class myGUI():
#myAttributes
def __init__(self, master):
buttonsize = 16
self.master = master
master.title('Password Generator: Select your character')
header = StringVar()
#Frame
self.topframe = Frame(maste... | true |
a4d7cf082a8bb31a403af6287e23ae0e5e8f0a5a | Min-Hae/django_test6 | /myguest/models.py | UTF-8 | 753 | 2.625 | 3 | [] | no_license | from django.db import models
# Create your models here.
class Guest(models.Model):
# myno = models.AutoField(auto_created = True, primary_key = True) ==> 해당 컬럼때문에 id가 생성되지않는다.
title = models.CharField(max_length=50)
content = models.TextField()
regdate = models.DateTimeField()
de... | true |
6e9a07f38a8a7a0de08aca8aa25625500564ad1d | glkclass/scrpt | /log_util.py | UTF-8 | 1,707 | 3.015625 | 3 | [] | no_license | import logging
"""Logging util"""
# create formatter
formatter = logging.Formatter('%(asctime)s %(levelname)s : %(name)s - %(message)s : %(filename)s, %(lineno)d', datefmt='%Y/%m/%d %H:%M:%S')
loggers = {}
def get_logger(logger_name='root', file_name=None, level=None):
if logger_name not in loggers:
logg... | true |
f14493a15082a1ee760c25761a41d87df2f50dfa | pyj4104/LeetCode-Practice | /Python/files/IntToRoman.py | UTF-8 | 915 | 3.28125 | 3 | [] | no_license | class Solution:
ROSSETTA_STONE = {\
1: ["I", "X", "C", "M"],\
2: ["II", "XX", "CC", "MM"],\
3: ["III", "XXX", "CCC", "MMM"],\
4: ["IV", "XL", "CD"],\
5: ["V", "L", "D"],\
6: ["V... | true |
106b7442f76cc2a36c63d62ed48874dcf467b4bd | paultorre/Daily_Coding_Problem | /85.py | UTF-8 | 700 | 4.09375 | 4 | [] | no_license | # This was a tricky problem that relied on a flash of insight. In this case, I was more or less thinking heuristaclly
# about solving this problem. I thought a lot about bitwise operations and eventually realized
# that somehow I should be adding the two numbers together, and that one of them should be 0 and one shou... | true |
d53de36742df5ce037dd46920e057aaf5aa35b44 | halimahbukirwa/Http-Requests-python- | /post.py | UTF-8 | 689 | 3.265625 | 3 | [] | no_license |
# HTTP POST REQUEST
# used when submitting data from an html form or uploading files
# A post request is designed for creating or updating resources
# And allows larger amounts of resources to be sent in a single request compared to a get request
import requests
payload = {"First Name": "John", "Last Name": "Smith... | true |
07be2b3a9d0d67321dc68890efe424619c3f6095 | JerrySmithLu/Missing-value-processing | /Missing_value_processing.py | UTF-8 | 1,213 | 3.4375 | 3 | [] | no_license | #Missing value processing
import pandas as pd
import numpy as np
from sklearn.preprocessing import Imputer
# Generate missing data
out_dir = 'data/'
df = pd.read_csv(out_dir + 'StackOverFlow_2017.csv', skiprows=1, low_memory=False)
# Check which values are missing
nan_all = df.isnull() # Get the Null value in... | true |
49d5998e54bb96e1115b2a0ae79c1cd2c92ef9a6 | rkane22/routeSchedulingSimulator | /Graph.py | UTF-8 | 3,993 | 3.328125 | 3 | [] | no_license | import numpy
import copy
DEFAULT = 0
CUMULATIVE = 1
MAX_REWARD = 100
def gen_random_aisle_graph(aisles=1, rows=5, cols=5, theta=2):
# use Zipf distribution
new_graph = AisleGraph()
aisle = []
for row in range(rows):
r = []
for col in range(cols):
if col == 0:
... | true |
17f757a3dc87cb8f5428e9197d610738529d2ff4 | mahesh1271457/IntroML | /Code/Version1.2/functions_loss.py | UTF-8 | 250 | 2.609375 | 3 | [] | no_license | # functions_loss.py
import numpy as np
def loss(loss_fun,A,Y):
m = A.shape[1]
if loss_fun == "meansquarederror":
return np.sum(np.square(A-Y))/m
def loss_der(loss_fun,A,Y):
m = A.shape[1]
if loss_fun == "meansquarederror":
return 2*(A-Y)/m | true |
3134278eccdd7d89bef5548a594f28f253fe7a15 | mcs356/ece5745-tut3-pymtl | /sim/tut3_pymtl/regincr/RegIncr2stage.py | UTF-8 | 1,125 | 2.859375 | 3 | [] | no_license | #=========================================================================
# RegIncr2stage
#=========================================================================
# Two-stage registered incrementer that uses structural composition to
# instantitate and connect two instances of the single-stage registered
# increment... | true |
0d70be037804c3dbf84fdb66c600cc66cb66dff9 | weichen-liao/HackerRank | /arrays/New_Year_Chaos.py | UTF-8 | 629 | 3.484375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# Author: Weichen Liao
# https://www.hackerrank.com/challenges/new-year-chaos/problem?h_l=interview&playlist_slugs%5B%5D=interview-preparation-kit&playlist_slugs%5B%5D=arrays
# Complete the minimumBribes function below.
def minimumBribes(q):
move = 0
for i, item in enumerate(q):
... | true |
3137e9c31a66d12bc08dc8fd148c48a3231fcbab | imerfanahmed/TopH | /icpc comming hot.py | UTF-8 | 58 | 3.0625 | 3 | [] | no_license | x=input()
m=0
for i in x:
m=max(x.count(i))
print(m) | true |
8edb9e09689119e82b5e127eb09dc76e2e987ffe | AlexanderGrigoryev/webtesting | /bi-zone-test/bizone/app_pages/controls/base_control.py | UTF-8 | 622 | 2.546875 | 3 | [] | no_license | from selenium.webdriver.remote.webelement import WebElement
from webium.base_page import is_element_present
class BaseControl(WebElement):
""" общая логика для элементов управления web-приложения """
@property
def drv(self):
return self.parent
@property
def text(self):
return sel... | true |
3f22565605f162e1255c85099b5f333205ffecdd | jiaxionglee/Python | /base/str/strUse.py | UTF-8 | 725 | 3.703125 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2019-01-02 22:52
# @Author: jiaxiong
# @File : strUse.py
s = 'I Love Python'
s1 = " , and you ?"
# 串联多个字符串
print(s + s1)
# 快速复制字符串
print(s * 2)
# 分割字符串
s2 = s.split(' ', 2)
print(s2)
# 替换字符串
s_replace = s.replace('Python', 'Java')
print(s_replace)
# 转大写
s_upper... | true |
d505f60df42552c366efd459a05caa3f9b398688 | tf-encrypted/federated | /tensorflow_federated/python/research/utils/adapters.py | UTF-8 | 1,646 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | # Copyright 2020, The TensorFlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | true |
497416a7015695bd56a5ed4c00ab919301983a03 | UltraStars3000/ProjetPython | /gamedata/afficheur.py | UTF-8 | 2,875 | 2.859375 | 3 | [] | no_license | #! usr/bin/python
from tkinter import *
class Afficheur(Frame):
code={1:(2,3),2:(1,2,7,5,4),3:(1,2,7,3,4),4:(6,7,2,3),5:(1,6,7,3,4),6:(1,6,5,4,3,7),
7:(1,2,3),8:(1,2,3,4,5,6,7),9:(6,1,2,3,4,7),0:(1,2,3,4,5,6)}
def __init__(self, tk, column, size=1, nCadrans=3, visible=False):
... | true |
0cd2e4bb1ea8caefe52294bc3e3bcae5120f14c5 | Sujjzit/Codefights | /sumUpNumbers.py | UTF-8 | 334 | 3.90625 | 4 | [] | no_license | """
Example
For inputString = "2 apples, 12 oranges", the output should be
sumUpNumbers(inputString) = 14.
"""
def sumUpNumbers(inputString):
s=0
z=0
for i in inputString:
if '0'<=i and i<='9':
s = s*10 + (ord(i)-ord('0'))
else:
z+=s
s=0
z+=s ... | true |
8747bc3c8638c7d053aa917ecdf0e513005b2ad9 | breakanalysis/graph-tycoon | /src/domain/world.py | UTF-8 | 4,590 | 3.296875 | 3 | [] | no_license | from .car import *
from .node import *
from .edge import *
from collections import deque
import random
from typing import Dict, Tuple
CAR_LENGTH = 0.1
CROSSING_MARGIN = 0.75
class World:
"""Abstract graph world with Nodes, Edges and Cars.
Attributes:
nodes (dict): dict from node name to node
c... | true |
9839706404995328d22234396ca0b484ec5af719 | TunaHG/TIL | /Python/Python_Chatbot/Basic/02_Strings.py | UTF-8 | 573 | 5.25 | 5 | [] | no_license | '''
String 조작하기
1. 글자 합체
2. 글자 삽입(수술)
3. 글자 자르기
'''
# 1. 글자 합체
hphk = "happy" + " " + "hacking"
print(hphk)
# 2. 글자 삽입
name = "Tuna"
age = 26
text = "제 이름은 {}입니다. 나이는 {}살 입니다.".format(name, age)
print(text)
f_text = f"제 이름은 {name}입니다. 나이는 {age}살 입니다."
print(f_text)
# 3. 글자 자르기
# String > "어떠한 글자들"[start : end]
... | true |
6f1b8b7b0f73f735c932c96bb8e3f7fccd7b338e | lydia0423/Machine_Learning | /Python/Python Basic/w3resources/basic_practice_part1/Q29.py | UTF-8 | 413 | 3.75 | 4 | [] | no_license |
#?29. Write a Python program to print out a set containing all the colors from color_list_1 which are
#?not present in color_list_2. Go to the editor
#?Test Data :
#?color_list_1 = set(["White", "Black", "Red"])
#?color_list_2 = set(["Red", "Green"])
#?Expected Output :
#?{'Black', 'White'}
color_list_1 = set(["Whit... | true |
3febd5fcbdbf57c3d339e604a1f54d95b7a19df9 | Vaidehithakur/Hackerrank | /StrongPassword.py | UTF-8 | 1,289 | 3.234375 | 3 | [] | no_license | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the minimumNumber function below.
def minimumNumber(n, password):
# Return the minimum number of characters to make the password strong
# pass = set(password)
count=0
flag=0
special_characters = "!@#$%^&*()-+"
... | true |
c3534209584e4a4c8303e8bb74d4c14b46c1dde3 | masun/SpamDetection | /addReTweetAndFav.py | UTF-8 | 1,049 | 2.6875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import csv
# Input file donde está la data.
ifile1 = open("datasets/dumpCaraotaDigitalCNNELaPatilla.csv", "rb")
reader1 = csv.reader(ifile1)
ifile2 = open("datasets/datos_separados/featureVectorsEntrenamientoWithTopic.csv", "rb")
reader2 = csv.reader(ifile2)
# Output fi... | true |
960e6d8695a7f3d03ebef023e00ebc0d61a83306 | SoloTodo/storescraper | /storescraper/stores/motorola_shop.py | UTF-8 | 3,209 | 2.53125 | 3 | [] | no_license | import json
import re
from decimal import Decimal
from storescraper.categories import CELL
from storescraper.product import Product
from storescraper.store import Store
from storescraper.utils import session_with_proxy
class MotorolaShop(Store):
@classmethod
def categories(cls):
return [
... | true |
9486a63f3e32309c372c9f621084bac740a1c8ed | mishutka200101/Python-Practice-3-4 | /task_18.3.py | UTF-8 | 203 | 3.015625 | 3 | [] | no_license | def golden_ratio(i):
a, b = 0, 1
n = 1
while n <= i:
a, b = b, a + b
n += 1
if n == i - 1:
b1 = b
return(b1 / b)
print(golden_ratio(int(input())))
| true |
b3fc34e58ec618b0a2750999d13fbcd8c4e40d6c | Z3a1ot/PanPal | /core/unittests/test_nutritionAPI.py | UTF-8 | 732 | 2.765625 | 3 | [
"MIT"
] | permissive | from unittest import TestCase
from core.recipe_sources.NutritionAPI import NutritionAPI
class TestNutritionAPI(TestCase):
def test_search_recipe(self):
napi = NutritionAPI()
result = napi.search_recipe("burger", 1)
self.assertEqual(len(result), 1)
self.assertIs(type(result[0].... | true |
55dbace86b2f247ed865971d02489011857f5453 | Acrelion/various-files | /Python Files/se63.py | UTF-8 | 1,055 | 3.9375 | 4 | [] | no_license | class Animal(object):
is_alive = True
def __init__(self, name, age):
self.name = name
self.age = age
# Add your method here!
def description(self):
print self.name
print self.age
hippo = Animal("Sam", 3)
hippo.description()
print hippo.is_alive
class Car(obj... | true |
152cbfaf2f0a86606533dea606ec1a3ae836844d | templeblock/pytoolkit | /pytoolkit/ml.py | UTF-8 | 9,479 | 2.84375 | 3 | [
"MIT"
] | permissive | """機械学習関連。"""
import pathlib
import typing
import joblib
import numpy as np
import sklearn.base
import sklearn.metrics
import sklearn.model_selection
import sklearn.utils
import tensorflow as tf
import pytoolkit as tk
def listup_classification(
dirpath,
class_names: typing.Sequence[str] = None,
use_tqdm... | true |
5d12f5a1c76734d347d309eff2098af9a257e062 | adrianmfi/ProjectEuler | /python/P57.py | UTF-8 | 127 | 2.9375 | 3 | [] | no_license | ##Get number as a fraction
1/(2+.5) = 2/5
def P57():
fractions = []
for i in range(1,1000):
fractions.append(
| true |
f2b33985f07202002be277f3b78a3b46b0bb54dd | SandaoTu/myday100 | /day1-15/day9_object/01_property.py | UTF-8 | 921 | 4.15625 | 4 | [] | no_license | #使用@property装饰器#
# @property装饰器将一个方法变为属性调用
#@property装饰器，同时会产生一个@ .setter装饰器
class Student(object):
def __init__(self,name,age):
self._name = name
self._age = age
#访问器getter方法
@property
def name(self):
return self._name
#访问器 getter方法
@property
def age(self):
... | true |
63816e2de15b4c448e890595136c98bb89b8e362 | kibo35/AtCoder | /ABC043/Unbalanced.py | UTF-8 | 221 | 3.140625 | 3 | [] | no_license | s = list(raw_input())
unbalanced = False
for c in set(s):
if s.count(c) >= len(s) / 2 + len(s) % 2:
print s.index(c) + 1, len(s) - s[::-1].index(c)
unbalanced = True
if not unbalanced:
print -1, -1 | true |
996dd6bb77a483d652b331b70832355502b9efbb | cmkwong/EntNet | /MemeryNet/lib/criterions.py | UTF-8 | 1,572 | 3.25 | 3 | [] | no_license | import torch
import torch.nn as nn
class CosineLoss(nn.Module):
def __init__(self):
super().__init__()
def forward(self, predict, ans):
"""
:param predict: torch.tensor(size=(n,1))
:param ans: torch.tensor(size=(n,1))
:return: torch.tensor(scalar)
"""
# ... | true |
5fa134486e0069188f85c1025e19a36cee666668 | ShawnKenley/StockSentimentCapstone | /Scraping/Scraping Investagrams/Scraping Each News Sites Using Newspaper3k/Article_Body_Scraper_4.py | UTF-8 | 1,046 | 2.78125 | 3 | [] | no_license | import pandas as pd
import numpy as np
from newspaper import Article
from newspaper import Config
import time
user_agent = 'Mozilla/5.0 (X11; Linux x86_64)'
config = Config()
config.browser_user_agent = user_agent
config.request_timeout = 10
def getArticle_Body(dataframe, filename):
total = len(datafr... | true |
f2c1dec84e641c7371e5b06b28a0426e4909f867 | augustogoulart/iws-feature-request | /tests/test_models.py | UTF-8 | 1,188 | 2.515625 | 3 | [
"MIT"
] | permissive | from unittest import TestCase
from feature_request.app import create_app
from feature_request.models import FeatureRequest, Client
from feature_request.models import db, Manager
class TestFeatureRequestResource(TestCase):
"""
Manager.add() is a wrapper for db.session.add() and db.session.commit()
db.sess... | true |
b546f2e6881fa9330cfbc651b4b8c802c8adf922 | mariamnaqvi/predicting_property_values | /acquire.py | UTF-8 | 3,298 | 3.171875 | 3 | [] | no_license | import pandas as pd
import numpy as np
import os
# use get_db_url function to connect to the codeup db
from env import get_db_url
import matplotlib.pyplot as plt
def get_zillow_data(cached=False):
'''
This function returns the zillow database as a pandas dataframe.
If the data is cached or the file exist... | true |
f3deda62caf65e1116e43cf8b2f745e97ee34b5a | erikbrorson/one_odd_out_game | /word_game.py | UTF-8 | 1,008 | 4.125 | 4 | [] | no_license | class Word_game:
"""
An instance of the odd one out game
"""
def __init__(self, file_path):
with open(file_path, 'r') as file:
self.words = file.readline().rstrip().split(' ')
self.odd_one_out = file.readline().rstrip()
def print_words(self):
print('The words... | true |
b48cd381f3e03e6febb49a89b8178dd4e30b298c | bakunobu/exercise | /1400_basic_tasks/chap_7/7_67.py | UTF-8 | 225 | 2.90625 | 3 | [] | no_license | from main_funcs import get_input
def before_zero() -> int:
counter = 0
while True:
a = get_input('Введите число: ')
if a == 0.0:
break
counter += 1
return(counter) | true |
e987a5031518981ea85aed7c2187f3ef159218e9 | duanwandao/PythonBaseExercise | /Day08(文件)/Test05.py | UTF-8 | 864 | 3.5 | 4 | [] | no_license | """
统计所有的代码
1.统计单个文件中的代码
a.单行注释的排除
b.多行注释的排除
2.找出某文件夹中所有的文件(.py文件)
"""
#统计指定文件中代码的行数
def irisCodeCounter(filePath):
#记录代码的总行数
lines = 0
#打开文件
file = open(filePath,'r',encoding='utf-8')
#读取内容
content = file.readline()
#用来记录多行注释的开关
add = True
while content != "... | true |
1da065ff763fb56fdab3370892c5b9cb47487f00 | raymondhehe/Georgia-Tech-course-work | /CS3600/project5/question6_car.py | UTF-8 | 648 | 2.75 | 3 | [] | no_license | import Testing
import NeuralNetUtil
import NeuralNet
n = 0
print "~~~~~~~~~~~~~~~~~~~~~~~TestCarData~~~~~~~~~~~~~~~~~~~~~~~"
while n <= 40:
c = 0
carList = []
print "------- #", n, "neurons per hidden layer -------"
while c < 5:
print "Iteration #", c + 1
car_Net, car_test = Testing.bui... | true |
27f947e29c704d2991208d22419f1a667622bc56 | kaio358/Python | /Mundo3/Tuplas/Desafio#72.py | MacCentralEurope | 350 | 3.484375 | 3 | [
"MIT"
] | permissive | numero = ('zero','um','dois','trs','quatro','cinco','seis','sete',
'oito','nove','dez','onze','treze','catorze','quinze','dezesseis',
'dezessete','dezoito','dezenove','vinte')
valor = -1
while True:
valor = int(input('Insira o numero : '))
if 0 <= valor <=20:
break
print(f'O valor di... | true |
5de07b1eab0777cfeb2d1638a1031f258ec40b50 | SeanUnland/Python | /Python Day 6/main.py | UTF-8 | 85 | 2.546875 | 3 | [] | no_license | # FUNCTIONS
def my_function():
print("Hello")
print("Bye")
my_function()
| true |
fad3cf1b6c3d55f81b3e31291c422544f8f29c37 | Kalliojumala/School-Work | /Week 8/8.4.py | UTF-8 | 382 | 3.796875 | 4 | [] | no_license | from functools import reduce
#join and casting prac
#long str
string = "01234567890123456789"
#cast as list
string_list = list(string)
#one liner to get list sum instead of for loop
list_sum = reduce(lambda x, y: int(x) + int(y), string_list)
#join it with '+' and print it with list_sum
print(f"\n{'+'.join(string_... | true |
8ed480a3b1013786b300b3090660592fdef8069f | Aasthaengg/IBMdataset | /Python_codes/p02572/s886591328.py | UTF-8 | 130 | 2.78125 | 3 | [] | no_license | N = int(input())
A = list(map(int, input().split()))
M = 10 ** 9 + 7
T = sum(map(lambda x: x**2, A))
print (((sum(A)**2-T)//2)%M) | true |
5d73f57329db497f97ed5be8c479adb4f99218d0 | dotgourav/Competitive-Programming | /test_file.py | UTF-8 | 836 | 3.203125 | 3 | [] | no_license | # URL: http://www.spoj.com/problems/CPTTRN4/
from __future__ import print_function
from datetime import datetime as dt
t = input()
while t:
t1 = dt.now()
inputVar = [eval(x) for x in raw_input().split()]
dict_prime = {}
for i in xrange(2, inputVar[0]+1):
dict_prime[i] = True
print("Origi... | true |
4e2398fc0604b08e6ec955d13dd26671defcec56 | Satya191/blackjack_project | /blackjack_package/deck_class.py | UTF-8 | 789 | 3.453125 | 3 | [] | no_license | from blackjack_package.card_class import Card
from random import randint
class Deck:
suits = ['heart', 'diamonds', 'spades', 'clubs']
values = ['ace', 2, 3, 4, 5, 6, 7, 8, 9, 10, 'jack', 'queen', 'king']
deck_list = []
def __init__(self):
for suit in Deck.suits:
for value in Deck.values:
Deck.deck_list... | true |
3dcfa159a306535276bc1541c4333b0bde03c00b | asharron/BlogChain | /blockchain/oldblockchain.py | UTF-8 | 536 | 3.4375 | 3 | [] | no_license | from block import Block
from genesis import create_genesis_block
from new_block import next_block
#Create the blockchain
blockchain = [create_genesis_block()]
previous_block = blockchain[0]
num_of_blocks_to_add = 20
#Add blocks to the chain
for i in range(0, num_of_blocks_to_add):
block_to_add = next_block(previo... | true |
4158fb3f3a7c18d49b0897130acb1dce6068231c | Shivani2006/C125 | /projectpred.py | UTF-8 | 1,548 | 2.6875 | 3 | [] | no_license | import cv2
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from PIL import I... | true |
dee7f25322ef5285c43c69a69679871397af2da0 | rogerrendons/holbertonschool-higher_level_programming | /0x0B-python-input_output/9-add_item.py | UTF-8 | 518 | 3.203125 | 3 | [] | no_license | #!/usr/bin/python3
"""
Write a script that adds all arguments to a Python
list, and then save them to a file
"""
save_json = __import__('7-save_to_json_file').save_to_json_file
load_json = __import__('8-load_from_json_file').load_from_json_file
if __name__ == "__main__":
from sys import argv
json_file... | true |
3a4e0cd06fd668d32686c0b21b9c95d0bd717b0d | pydevjason/Python-VS-code | /intro_to_functions.py | UTF-8 | 347 | 4.0625 | 4 | [] | no_license | # a function is a collection of 1 or more statements, a set of instructions that performs a single task which can be reused. A function is an object which takes inputs as parameters and returns outputs
def output_text():
print("Welcome to the program!")
print("It's nice to meet you.")
print("Have a ... | true |
96b83e15e64f1fac57c27e1a5337762f95eda9c2 | Salmonpro/class_v1 | /Button.py | UTF-8 | 170 | 2.78125 | 3 | [] | no_license | class Button:
def __init__(self):
self.click_count = 0
def click(self):
self.click_count += 1
def reset(self):
self.click_count = 0
| true |
1b950bd668e5a4bec675c4b2222848b1d46f5d22 | atulsingh0/Python | /Learn/python02_data-type_Strings.py | UTF-8 | 2,262 | 4.46875 | 4 | [] | no_license |
print "www.datagenx.net"
print "Hello! Welcome to Python 2 tutorial Script"
print "We will see how to determine data type and Strings"
### DATA TYPES ###
##################
# determine the type of an object
print type(5) # print 'int'
print type(5.0) # print 'float'
print type('two') # print 'str'... | true |
4b0f46924700e8e0879d2ec06adc828621f34f66 | skely/Sign-Language | /lib/BVH.py | UTF-8 | 8,371 | 2.625 | 3 | [] | no_license | import numpy as np
def load_raw(_in_file):
"""
Loads bvh file as text.
:param _in_file: path
:return: list of lines
"""
with open(_in_file, 'r') as f:
content = f.readlines()
headder = -1
for i, line in enumerate(content):
if 'MOTION' in line:
headder =... | true |
c56d101b86cca71a6436589dcbd670047b253723 | eleans412/dreams-backend | /tests/auth_passwordreset_email_test.py | UTF-8 | 1,461 | 2.734375 | 3 | [] | no_license | from tests.fixture import channel_set_up, auth_set_up
from src.auth import auth_passwordreset_request_v1
from src.error import AccessError, InputError
from src.data import getData
import pytest
"""
Will check that the email sent is a valid email and send a reset code to the user to change their password
Arguments:
... | true |
afa9ef7d77c6b23e4f52aec8553fd3778b157776 | asaboveasbelow/task1 | /py exercise3.py | UTF-8 | 245 | 4.03125 | 4 | [] | no_license | print('What is your favourite number?')
favNum = int(input())
if favNum > 0 and favNum % 2 == 0:
print('Your favourite number '+str(favNum)+' is an even number.')
else:
print('You favourite number '+str(favNum)+' is an odd number.')
| true |
d58b3062935b258e02a73704a1e048b3e09ee19e | 759796385/pythonDemo | /main/configParse/ConfigParseDemo.py | UTF-8 | 632 | 2.859375 | 3 | [] | no_license | # coding: utf-8
import ConfigParser
import os
import numpy as np
import pandas as pd
# 2.x语法
def get_conf(section, key):
conf_file = ConfigParser.ConfigParser()
conf_file.read(os.path.join(os.getcwd(), 'config.ini'))
return conf_file.get(section, key)
print get_conf('local', 'name')
print get_conf('loca... | true |
d8fc55109e9c1d26e9c6bf1c2b90d6679b438386 | theoboraud/Perceptron | /PPT.py | UTF-8 | 4,212 | 3.765625 | 4 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
# ------------------------------------------- #
# ---------------- VARIABLES ---------------- #
# ------------------------------------------- #
# Numpy seed
np.random.seed(0)
# Training loop
learning_rate = 0.1
costs = []
# Number of trainings
train_time = 100000
... | true |
ba310c72892a4b2cb251eb9e775c363669e39764 | BrianUribe6/Google-Foobar-Challenge-2019 | /Google Foobar/Lovely Lucky Lambs/test.py | UTF-8 | 339 | 3.453125 | 3 | [] | no_license | from math import sqrt, log
def fib(n):
a, b = 1, 1
i = 1
n -= a
while b <= n:
n -= b
a,b = b, a + b
i += 1
return i
def solution(total_lambs):
generous = fib(total_lambs)
stingy = int(log(total_lambs + 1, 2))
return abs(generous - stingy)
prin... | true |
883051fe7032f52b7e74ea708f0d0b4c56f85bf1 | fab-bar/SpellvarDetection | /spellvardetection/test/generator/test_levenshtein_generator.py | UTF-8 | 1,611 | 2.859375 | 3 | [
"MIT"
] | permissive | import unittest
from spellvardetection.generator import LevenshteinGenerator
class TestLevenshteinGenerator(unittest.TestCase):
def test_without_dictionary(self):
generator = LevenshteinGenerator()
with self.assertRaises(RuntimeError):
generator.getCandidatesForWords(['rat', 'dog'])
... | true |
f955fe4d16613bce468f25c24a2fea9f20d5b972 | infinitespace/LeetCode-2 | /Python/tmp.py | UTF-8 | 2,556 | 3.1875 | 3 | [] | no_license | # THRESHOLD between journey, if trip2.starttime - trip1.endtime < THRESHOLD,
# trip1 and trip2 are in the same journey
THRESHOLD = 1 day
def find_journeys(trips):
# Input: an iterator of trip records, not null
# Output: an iterator of journey records
journeys = []
journeys.append({starttime: trips[... | true |
2665a1e6be71fbeed54a026aaf64b153845ec335 | peterCcw/alien_invasion | /alien_bullet.py | UTF-8 | 1,233 | 3.484375 | 3 | [] | no_license | import random
import pygame
from pygame.sprite import Sprite
class AlienBullet(Sprite):
"""Manages bullets shot by the aliens"""
def __init__(self, ai_game):
"""Create the bullet obj in the random alien's location"""
super().__init__()
self.ai_game = ai_game
self.screen = ai_g... | true |
f65cb7fbcaaba3d0d603ec972f29d04208775ef5 | xinghuaman/OpenMV_Camera | /Software/Black Box/automatic_quality_test.py | UTF-8 | 2,225 | 3.671875 | 4 | [] | no_license | '''
### Automatic Quality Test
## Allan Shtofenmakher
# Spacecraft Design Lab
# Uses the camera to take several photos in sequence, rendering
# a different level of JPEG compression each time. Saves all
# photos to the SD card.
# The blue LED is used to signal camera activation;
# the green LED signals successful co... | true |
274a7213777b252eb7a1814e5a61510bf919e0a6 | timichal/advent2017 | /day02.py | UTF-8 | 362 | 3.203125 | 3 | [] | no_license | numbers = []
with open("day02") as file:
for line in file:
numbers.append([int(x) for x in line.strip().split()])
# part 1
print(sum([max(row) - min(row) for row in numbers]))
# part 2
result = 0
for row in numbers:
for number in row:
for number2 in row:
if number % number2 == 0 and number/number2 > 1:
r... | true |
2c46758d72477821c6e6d1c9130dc5b4d887f5f1 | ellynhan/challenge100-codingtest-study | /hall_of_fame/seunggil/python/소수 찾기.py | UTF-8 | 1,018 | 3.125 | 3 | [] | no_license | 1
2
3
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28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
import math
visited = []
nums = set()
def isprime(num : int):
prime = True;
for i in range(2,int(math.sqrt(num))+1):
if num % i == 0:
prime = False
brea... | true |
e99a6f31b244480a4d0a441ba6b4a93748daf346 | Vesanys/UniProjects | /Python/New Rover & AStar/Astar.py | UTF-8 | 23,797 | 3.546875 | 4 | [] | no_license | # A* Shortest Path Algorithm
# http://en.wikipedia.org/wiki/A*
# FB - 201012256
from heapq import heappush, heappop # for priority queue
import math
import time
import random
import serial
class node:
xPos = 0 # x position
yPos = 0 # y position
distance = 0 # total distance already travelled to reach the n... | true |
0ac40cf91f3cacf4a95653f4707e3ce3e55c6f1e | mangalaman93/pstickle | /proxy.py | UTF-8 | 830 | 2.640625 | 3 | [
"MIT"
] | permissive | import zmq
class Proxy(object):
"""Centralized proxy (Hub) for relaying pub-sub messages"""
def __init__(self, host="127.0.0.1", subport=8000, pubport=8001):
super(Proxy, self).__init__()
# zmq context
self.ctx = zmq.Context()
# proxy socket for subscribers to connect
... | true |
d680c941c08b0efea4ee768d1ffabea10f0ac3b8 | khushboo1510/leetcode-solutions | /30-Day LeetCoding Challenge/September/Medium/152. Maximum Product Subarray.py | UTF-8 | 673 | 3.328125 | 3 | [] | no_license | # https://leetcode.com/problems/maximum-product-subarray/
# Given an integer array nums, find the contiguous subarray within an array (containing at least one number) which has the largest product.
class Solution:
def maxProduct(self, nums: List[int]) -> int:
if not nums:
return 0... | true |
87c405728ce43715549e0fca03b8374c72ea5ad8 | environmentalomics/eos-agents | /eos_agents/db_client.py | UTF-8 | 4,616 | 2.84375 | 3 | [] | no_license | """
db_api_client: Routines to call to the DB API, normally on port 6543
The most recent HTTP result code is held in the variable "last_status", which
is initially set to -1.
"""
import sys
import requests
import logging
#Clients can import and trap this without caring that it belongs to requests under
#the hood.
Co... | true |
214edc7c3419a6906533b392e67593833e29aa13 | biinggala/lunarchive-backend | /2021-python/bmi.py | UTF-8 | 416 | 4.21875 | 4 | [] | no_license | # 과제 1
import random#주사위 랜덤 숫자
for i in range(7):#7번 반복
machine = random.randint(1,6)#random class 사용
human = random.randint(1,6)
result = print(f"machine:{machine}, human:{human}")
if (machine>human):
print("You Lose")
result
elif (machine == human):
print("Draw")
... | true |
799e731bcd8ed09f8c75f674eab46f2f3d6e60d1 | nttssv/daily_run | /daily_close_price_change.py | UTF-8 | 1,814 | 2.625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 12 14:22:22 2020
@author: Tung
"""
# lấy data từ YF
import time
start_time = time.time()
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from pandas_datareader import data #https://pandas-datareader.readthedocs.io/en/lates... | true |
543013f8963e6ecd0203db530fb6262284f747c9 | tmdenddl/Algorithm | /Python/Data Strucutre Related Questions/Backtracking & Recursion/Word Search - Medium #79.py | UTF-8 | 4,236 | 4.6875 | 5 | [] | no_license | """
Word Search - Medium #079
Given a 2D board and a word, find if the word exists in the grid.
- The word can be constructed from letters of sequentially adjacent cells.
- "Adjacent" cells are those horizontally or vertically neighbouring.
- The same letter cell may not be used more than once.
How to solve the probl... | true |
963ff35fb067ed41c5c46faa019b787b06dd0984 | amitesh98/GaanaScraper | /Gaana_Scraper.py | UTF-8 | 8,183 | 2.953125 | 3 | [] | no_license | from selenium import webdriver
import requests
import bs4
import os
from pandas.core.dtypes.missing import isnull
# radio, top, track, artist scraper from Gaana.com
radio_mirchi = "https://gaana.com/radiomirchi"
gaana_radio= "https://gaana.com/gaanaradio"
top_album= "https://gaana.com/browse/albums"
top_songs="https:/... | true |
350361cebf23002146a5134f69f680b78573be53 | axelFrias1998/Using-Python-with-Linux | /Fifth_week/Unit_tests/from.py | UTF-8 | 76 | 2.59375 | 3 | [] | no_license | from unitTests import rearrange_name
print(rearrange_name("Lovelace, Ada")) | true |
31ffbd7566b1c7547664250b5eb634e0f320154d | sj26/spoj | /PRIME1.py | UTF-8 | 1,000 | 3.578125 | 4 | [] | no_license | import sys, collections
cases = int(sys.stdin.readline().strip())
for case in range(1, cases + 1):
candidate_min, candidate_max = map(int, sys.stdin.readline().strip().split())
# Python is good at sparse dictionaries, so we'll use a bubbling
# Sieve of Erastothenes to be memory efficient and fairly
# computatio... | true |
8859c1511db63e972d36e57f9547cf692754b0e6 | ChungHaLee/BaekJoon-Problems | /BOJ 10814- Age Ain't Nothing But A Number.py | UTF-8 | 449 | 3.484375 | 3 | [] | no_license | n = int(input())
import sys
data = sys.stdin.readlines()
data_lst = []
for idx, line in enumerate(data): # enumerate 함수의 기능
age, name = line.split()
age = int(age)
data_lst.append([age, name, idx])
sorted_data_lst = sorted(data_lst, key=lambda x: x[2])
real_sorted_data_lst = sorted(sorted_data_lst, key=... | true |
5acd1700d13473783f748cd4f3c591cf94c15680 | hsharma267/python_programs-with-w3school | /test.py | UTF-8 | 140 | 3.296875 | 3 | [] | no_license | import re
txt = "The rain in spain"
x = re.findall("^The.*spain$", txt)
if x:
print("Yes,We have a match.")
else:
print("No match")
| true |
88f2aefb76e76d6ab5ea5cc784d67b2219928875 | bencuben/Learning-Machine-Learning | /Lab 4.py | UTF-8 | 7,301 | 3.234375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 29 16:27:19 2020
@author: user
"""
# import keras
# keras.__version__
#Importando la base de datos de numeros escritos a mano
from keras.datasets import mnist
#Carga a la base de datos de entrenamiento y testeo
(train_images, train_labels), (test... | true |
c0e5f6c80947e557ce43e4eb1e4b7e28019f350c | jmarq76/Learning_Programming | /AulasPython/Parte1/Semana4/soma_digitos.py | UTF-8 | 195 | 3.8125 | 4 | [] | no_license | n = int(input("Digite um número inteiro: "))
tamanho = len(str(n))
i = 0
total = 0
while i < tamanho:
singleNum = n % 10
total += singleNum
n = n // 10
i += 1
print(total) | true |
0b8a0f5d5a54a6c38d7d5c80c122bd9729024e75 | harsh8088/py_web_socket | /websocket.py | UTF-8 | 1,878 | 2.75 | 3 | [] | no_license | import asyncio
import logging
import websockets
logging.basicConfig(level=logging.INFO)
class Server:
clients = set()
async def register(self, ws: websockets.WebSocketServerProtocol) -> None:
self.clients.add(ws)
logging.info(f"{ws.remote_address} connected.")
async def unregister(self,... | true |
48797b90bf87c2fa0a46f5f1892939d7b33ca134 | campjordan/Python-Projects | /Numbers/flip.py | UTF-8 | 731 | 4.28125 | 4 | [] | no_license | '''
Coin Flip Simulation
Write some code that simulates flipping
a single coin however many times the user decides.
The code should record the outcomes and count the
number of tails and heads.
'''
from random import randint
def flip():
result = randint(0, 2)
if result == 1:
return True
else:
... | true |
325a9d435346c0f820d46296c362f2e740db1261 | Sam-the-Unwise/Bot_Detector | /analyze_outputs.py | UTF-8 | 1,749 | 3.328125 | 3 | [] | no_license | import csv
dict_of_outputs = {}
with open('top_50.csv', 'rt') as csv_file:
csv_reader = csv.reader(x.replace('\0', '') for x in csv_file)
line_count = 0
for row in csv_reader:
if line_count > 0:
author = row[1]
percent = row[0]
dict_of_outputs[autho... | true |