index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
989,900 | 09c9bb2d3f9f6ca33e240337992f37fe3d9ee088 | import sys
filepath = sys.argv[1]
filepath_out = sys.argv[2]
preranked_file = sys.argv[3]
preranked = [] # (topic, doc id, score) score is 0,1 if qrel
with open(preranked_file, 'r') as inputFile:
for line in inputFile:
parts = line.split()
preranked.append((int(parts[0]), parts[2].strip(), parts[... |
989,901 | 73f10ac155c1717dfdf19e8e10c3ef14b00e3ccb | def bubble_sort(array):
n = len(array)
for i in range(n - 1):
for j in range(n - 1 - i):
if array[j + 1] < array[j]:
array[j + 1], array[j] = array[j], array[j + 1]
return array
a = [1, 2, 1, 3]
print(bubble_sort(a))
def quicksort(array):
n = len(array)
if n <= ... |
989,902 | abaad1060835d3edbf82ae8aeeefa94fd4541efe | import os.path
from pathlib import Path
import googlephotos_helper
import settings
def upload_to_google_photos(pics):
print(f'Uploading to google photos...')
if len(pics) > 0:
session = googlephotos_helper.get_session()
# 古い画像からアップロードしたほうが並び順的にいい感じだと思うのでreversedにしておく
googlephotos_help... |
989,903 | dab0a91a19e2a4b42deea6b066724286f6112c4a | #선택정렬
from random import randint
array =[]
for j in range(0, 100):
array_num = randint(1, 100)
array.append(array_num)
for i in range(len(array)):
min_index = i
for j in range(i+1, len(array)):
if array[min_index] > array[j]:
min_index = j
array[min_index], array[i] = array[i], array[min_index] #스와... |
989,904 | 9d60c2ae1c08f144030d959d354735ef285fd61f | name = 'Da Woon CHAE'
age = 23 # not a lie
height_cm = 176 # centimeter
cm_to_inch = 1.0 / 2.54
height_inch = height_cm * cm_to_inch
weight_kg = 72 # kilogram
eyes = 'Black'
teeth = 'White'
hair = 'Black'
print "Let's talk about %s." % name
print "He's %g inches tall." % height_cm
print "He's %g inches tall." % height... |
989,905 | c15c30a4fca05a2887beba2a4efa325bfce4d151 | # -*- coding: utf-8 -*-
"""
This is a skeleton file that can serve as a starting point for a Python
console script. To run this script uncomment the following lines in the
[options.entry_points] section in setup.cfg:
console_scripts =
fibonacci = ideuy.skeleton:run
Then run `python setup.py install` whic... |
989,906 | 598badfa716e489f2a6877b4c1450f7ca6b0a335 | with open("day-08.txt") as f:
notes = [line.split(" | ") for line in f.read().rstrip().splitlines()]
patterns = []
outputs = []
for p, o in notes:
patterns.append([tuple(sorted(s)) for s in p.split(maxsplit=9)])
outputs.append([tuple(sorted(s)) for s in o.split(maxsplit=3)])
def make_mask(digit):
mas... |
989,907 | c0d8fa17087bd12ee9bd1fb9cf58dd0cc3d5bf6c | from scipy.io.wavfile import read
import matplotlib.pyplot as plt
# read audio samples
print("Enter the digit for the different Sound wave")
i=input('Enter your choice')
input_data = read("Sound/leftByAnkur1.wav")
if i== '1':
input_data = read("Sound/leftByAnkur1.wav")
elif i== '2':
input_data = read("Sound/le... |
989,908 | 20eae8ab1bc6a1242d548efb8a9ed509ea8398ef | from math import pi
from math import sqrt
import sys
r = float(sys.argv[1])
d = 2 * r
p = 2 * pi * r
a = pi * r **2
soluciones = input ("Elige una de las siguientes soluciones (diámetro(d), perímetro(p), área(a) o salir(s): ")
if soluciones == "diámetro" or soluciones == "diametro" or soluciones == "d":
print(d)... |
989,909 | fc110134e48dcaa8bbc5d8284108f8d3e397c762 | import time
import beeper
seconds = input("how many seconds? [q for quit] ")
while seconds != "q":
seconds = int(seconds)
while seconds > 0:
print(seconds, "remaining")
time.sleep(1)
seconds -= 1
print("beep beep beep")
beeper.beep(3)
seconds = input("how man... |
989,910 | b79d749f3dcb893303f9148c6cec8540b49c0ce2 | from typing import Callable, List, Union
import random
import cv2
import numpy as np
from vcap.caching import cache
class DetectionPrediction:
def __init__(self, class_name: str,
class_id: int,
rect: List[Union[int, float]],
confidence: float):
"""An ob... |
989,911 | f813a1f39db7fc32ad0b33967f6bbaad5c163877 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from __future__ import print_function
import os
import numpy as np
import cv2
import os
import sys
stderr = sys.stderr
sys.stderr = open(os.devnull, 'w')
import keras
sys.stderr = stderr
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from keras.models... |
989,912 | b9e3d8d0e066b309d91acfcb997ec093c8b6ed32 | dicci={"Alemania":"Berlín", "Francia":"París", "Colombia":"Bogotá", "España":"Madrid"}
print(dicci["Francia"])
#Agregar mas elemnetos
dicci["Italia"]="Lisboa"
print(dicci)
#MOdificar
dicci["Italia"]="Roma"
print(dicci)
#Eliminar
del dicci["Italia"]
print(dicci)
#Diccionario con distintos tipos de datos
dicci2={"Nombre"... |
989,913 | 82a820be663fa7fc7726b6f259aee4db2e7c727f | #!/usr/bin/env python3
# -*- encoding: utf-8; py-indent-offset: 4 -*-
# (c) Andreas Doehler <andreas.doehler@bechtle.com/andreas.doehler@gmail.com>
# This is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation i... |
989,914 | 08d4ac34068d405f1edc0c39216cfb3db7e06cf7 | # -*- coding: utf-8 -*-
#PYTHON SCRIPT #X X SCRIPT NEEDED FOR VOLTAGE TEMPERATURE CALCULATION OF THE IPG LEAD
#THE MODEL SHOULD BE ACTIVE AND SIMULATION RESULTS OF THE MODEL SHOULD HAVE BEEN COMPLETED BEFORE THE SCRIPT IS RUN
# original code modified by cfawole
#owning U of H code
#extract human body electric fields... |
989,915 | b7acda9f0bf4d912e1e62f7f08a734d2320df779 | # -*- coding: utf-8 -*-
from formencode import validators
from tw2.forms import (
TableForm,
TextField,
TextArea,
LabelField,
)
from tw2.tinymce import TinyMCEWidget
from pylonsprojectjp.apps.admin import (
admin_config,
ListColumn,
)
from .models import BlogEntryModel
class BlogEnt... |
989,916 | ecc8050a55cc3113e34809d0d49e27a701c91c73 | import random
def random_move():
direct = ("up", "down", "left", "right")
if random.randint(0, 1):
return random.choice(direct)
else:
None |
989,917 | 1decbe4ef0566adaba5bd736f2c16c0a84a83ef0 | import datetime
import glob
import os
import time
from django.conf import settings
from django.template.loader import render_to_string
from ietf.message.models import Message, SendQueue
from ietf.message.utils import send_scheduled_message_from_send_queue
from ietf.doc.models import DocumentAuthor
from ietf.person.mo... |
989,918 | 823122629e28be046da527979da2b30fab51a378 | from .__core import *
__all__ = ["routine"] |
989,919 | 069933f4e265a70a118a9584e9b1daa79922d925 | from config import Config
from subprocess import Popen, PIPE
class Set():
def __init__(self) -> None:
config = Config()
self.config = config.read()
def command(self, label: str) -> None:
monitors = self.config[label]
command = ['xrandr']
for monitor in monitors:
... |
989,920 | 9246472296156ed6e754fc6d5ca540a47c30f439 | import random
# stolen from https://github.com/arizonatribe/word-generator
class Words:
words = {
"nouns": [
"aardvark",
"aardwolf",
"ability",
"abroad",
"abuse",
"accentor",
"access",
"accident",
"account",
... |
989,921 | 4aab0f7ea5f48d28b25a456fb24a9830fa9a434f | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2018-03-27 09:01
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project', '0019_auto_20180327_1614'),
]
operations = [
migrations.AlterFiel... |
989,922 | 7a940f3b1404b976dae70ab9c3bfb0ac4ab1147e | import numpy as np
import torch
from tqdm.auto import tqdm
import torch.optim as optim
from pathlib import Path
import utils
import os
from dataloader_cache_allitem import DataLoaderTrain, DataLoaderTest
from infer_embedding import news_feature, infer_news_embedding
from preprocess import read_news_bert, get_doc_input... |
989,923 | 2fff0ca5417b2c52037dac5abee7849a65d9469c | import turtle as t
import random
tort = t.Turtle()
t.colormode(255)
tort.shape("turtle")
def random_color():
red = random.randint(0, 255)
green = random.randint(0, 255)
blue = random.randint(0, 255)
random_colour = (red, green, blue)
return random_colour
tort.speed('fastest')
def draw_spirog... |
989,924 | 7d81651e37330abf932263d3ba4f5f4544d3f355 | import random, time, sys
#import numpy as np
#from pygame.locals import *
import pyjsdl as pygame
#import pygame
from textdata import txtFile
#pyjsdl.display.setup(runGame)
WINDOWWIDTH = 500
WINDOWHEIGHT = 700
boardArrHeight = 200
boardArr = []
posX = 5 #chracter position
posY = 0
direction = "down"
score = 0
stomach... |
989,925 | 28bdbc25d691bed614bf2d9e8256dd342de60c9e | from django import forms
from django.conf import settings
from django.core.mail import send_mail
from django.template import loader
from django.template import RequestContext
from django.contrib.sites.models import Site
from apps.captcha.fields import CaptchaField
from django.utils.translation import ugettext_lazy as _... |
989,926 | 5cd3d855f4b90bda54964365387e39186c00844a | """
Taken from and somewhat expanded upon:
https://towardsdatascience.com/streamlit-101-an-in-depth-introduction-fc8aad9492f2
The examples in the article don't jibe with the actual output in a number of cases.
I've added some of my own workarounds, but the original code is here
https://github.com/shaildeliwala/experim... |
989,927 | 374de701f733b4b76fe5df5b5e0aa090b93650bd | """Helper module to compute for the Shapley values of each feature
Authors: Leodegario Lorenzo II, Alva Presbitero
Date: 13 October 2021
"""
from math import factorial
def compute_shapley_value(model_outcomes, feature_name):
"""Return the Shapley value of the feature given model outcomes
dictionary
Par... |
989,928 | d55347bf34909f2329b599c6795d15ce90c2ecfb | """
Author : Kusmakhar Pathak
Created: 30 July 2020
(c) Copyright by Kusmakhar Pathak.
"""
# Programme to get hostname and host IP address
import socket
# function to access host computer IP address
def get_ipAddress():
host_pc = socket.gethostname()
IPAddress = socket.gethostbyname(host_pc)
return ho... |
989,929 | 37e741f68de5ce3e13e591d8439263ae063a7026 | def webapp_add_wsgi_middleware(app):
#from google.appengine.ext.appstats import recording
#app = recording.appstats_wsgi_middleware(app)
return app
remoteapi_CUSTOM_ENVIRONMENT_AUTHENTICATION = (
'HTTP_X_APPENGINE_INBOUND_APPID', ['literumble'])
|
989,930 | 138edf31e63fa233586a6395fd733e0b415c2554 | ##A palindromic number or numeral
##palindrome is a number that remains the same when its digits are reversed.
x = int(input("enter the first number. "))
y = x
sum = 0
while y > 0:
i = y % 10
sum = sum * 10 + i
y = y // 10
if x == sum:
print (x, "is an palindrome number")
el... |
989,931 | e221114c95418f03dd2f426c3ec6746ecc763f0b | # Julita Osman 314323
# http://pep8online.com/
def is_palindrom(text):
text = text.lower()
length = len(text)
lista = [' ', '.', ',', ':', ';', '-', '\"', '?', '!', '\'']
for i in range(length):
k = length - i - 1
if text[k] in lista and length-1 != k:
text = text[0:k:]+tex... |
989,932 | 5615a7f29fb34b8bf40dc9c2f5afabe914313089 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-19 14:26
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('wf', '0002_auto_20170919_1343'),
]
operations = [
migrations.RenameField(
... |
989,933 | 33b24f5a26b1493385f91feaa29c59653bd00a96 | f = open("C:/Users/escroc/Documents/projectBioInformatique/Supp-B.txt", 'r')
#
# while(f.read()):
# print(text)
data =""
for line in f:
if not line[0].isdigit():
data+=line
print(data)
save = f = open("C:/Users/escroc/Documents/projectBioInformatique/Supp-B-prunned.txt", 'w')
save.write(data)
|
989,934 | 1988c4a636e7ce828cb28320f569025f8270b98c | '''
Take in the following three values from the user:
- investment amount
- interest rate in percentage
- number of years to invest
Print the future values to the console.
'''
investment_amount = int(input("Amount of investment: "))
interest_rate_in_percentage = int(input("interest rate (%): "))
number_o... |
989,935 | beb1be5397da229a4e90f891efa3c8dfefa53153 | from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.ensemble import GradientBoostingClassifier
from xgboost import XGBClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import pandas as pd... |
989,936 | d14c054329c2ce1b80d367af715e98b61604c65e | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'D:\Codes\PyQt5Projects\blogui\RightSearchWidget.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_RightSearchWidget(object):
... |
989,937 | 38b0dd6836f1e97476f1e8cb2950165cc39e4924 | # Generated by Django 4.1.7 on 2023-02-21 09:05
import ckeditor.fields
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Player',
fields=[
('... |
989,938 | 50d8db2038a018a20fb3a5c535d2cd303816d31d | def gallery_creator(img_list):
for image in img_list:
print('\'<a href="http://plonsker.github.io/imgs/' + image + '" target="_blank"><img src="imgs/' + image + '"/></a>\',')
img_list = ['00(1).tiff','000008190022.jpg','000012590002.jpg','000012590035.jpg','000012700008.jpg','000012700019.jpg','000012700021.jpg'... |
989,939 | e26e8276882ddb37695bdc81c7968fdb5346b7cb | import numpy as np
import pyautogui
import imutils
import cv2
template = cv2.imread('Alive.png')
img_original = pyautogui.screenshot(region=(18,400, 772, 194))
img_original = cv2.cvtColor(np.array(img_original), cv2.COLOR_RGB2BGR)
img_rgb = cv2.cvtColor(np.array(img_original), cv2.COLOR_RGB2BGR)
w, h = temp... |
989,940 | 134cfaa5150df3331864c5c8dc9ce7f0d9a6d13e | class DB_Abstract:
# DB Connection constructor
# INPUT: database information per db implementation (connection info / file path / windows registry / whatever
# OUTPUT: N/A
# DESC: constructs the db connection instance and prepares everything necessary to start actively working against the db. if db stru... |
989,941 | fe87c56d64011db1b61a65c3f1fea1fb80d5a821 | my_str=input("What do you want to get displayed:")
print(my_str)
|
989,942 | 0a4ca657a1fec0527e286fa3dbed80a67a04c3b8 | #!/usr/local/anaconda/bin/python
'''
A tool to calculate the fluxes from DSMACC
D.Ellis 2016
'''
#functions
global specs,reactants
xlen = lambda x: xrange(len(x))
import numpy as np
import pandas as pd
import sys,os,re,multiprocessing,netCDF4
from netCDF4 import Dataset
import matplotlib.pyplot as plt
#netcdf fil... |
989,943 | 1c230da8800c7a69127915ebd0c5d50afa4f8579 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Array elements swap helper.
'''
import random
import logging
log = logging.getLogger(__name__)
def swap(a, b, ind):
'''
The function swaps elements of a and b
on the indices stored in ind.
Args:
a: list of elements
b: list of elemen... |
989,944 | 82c5f9f34f493044a6e06672935e87dabeae4aa1 | from flask import Flask, render_template
from flask import request as req
import requests
app = Flask(__name__)
# Root path (static)
@app.route("/")
@app.route("/index")
def index():
return render_template('index.html')
# Render a table of chemicals reachable from a start chemical by querying the
# biochem4j.... |
989,945 | 70529800b7b1672ee90bbb4b45bc9e8e1b21b55b | # !/usr/bin/env python
# coding=utf-8
"""
Demo to integrate an ODE for ChE 344; A <--> 3B + C, membrane reactor with pressure drop, B diffusing out the membrane
references:
https://docs.scipy.org/doc/scipy/reference/generated/scipy.integrate.odeint.html
https://scipy.github.io/old-wiki/pages/Cookbook/CoupledS... |
989,946 | 6ab24ecb6bd5c51275ef2c2a8ca922bca82cc9e5 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report,confusion_matrix,accuracy_score
import pickle
wine = pd.read_csv('wine.data', names = ["Cultivator... |
989,947 | 63f24182cf510d5b4f12d8f8dfa4eb46835fe096 | #%%
# 所有的数据分为一下几类：
# 诊断复杂，中有数字，形容描述 如 0013
#
import jieba
import matplotlib.pyplot as plt
import numpy as np
from gensim import corpora, models, similarities
from sklearn.cluster import KMeans
from sklearn.externals import joblib
import cla
def getsample( filename , featurestr,loopnumber):
fo = open(filenam... |
989,948 | af7dee274e05f33cb108ce4e042a4d656b2f12ba | # This is our super (parent) class. All other characers, will be subclasses of this class
class Character(object):
def __init__(self,name,health,power):
self.name = name
self.health = health
self.power = power
def take_damage(self,amount_of_damage):
self.health -= amount_of_damage
def get_health(self):
ret... |
989,949 | 8b62c09ec372d608c27dc367cd8b8597af832581 | # Easy
#
# In a array A of size 2N, there are N+1 unique elements, and exactly one of
# these elements is repeated N times.
#
# Return the element repeated N times.
#
# Example 1:
#
# Input: [1,2,3,3]
# Output: 3
#
# Example 2:
#
# Input: [2,1,2,5,3,2]
# Output: 2
#
# Example 3:
#
# Input: [5,1,5,2,5,3,5,4]
# Output: 5... |
989,950 | 51bafe5ea779cf950cee6d8ba08399a8345ad1aa | import cv2
from ..utils.utils import intdetector, str2bool, stringdetector
def resize(img, ratio=100, size=None, interpolation=None):
"""
This function retrieves the image sent by the user resized with the ratio or the size inputted by the user.
The ratio has priority over the size in case that it... |
989,951 | 1f199b3c41c0a29e59a7207bb35ef9c1fff13830 | # Created by [Yuexiong Ding] at 2018/2/12
# 归一化数据
#
import pandas as pd
import numpy as np
# 原始数据集索引文件地址
INDEX_FILE_PATH = r'D:\MyProjects\TianChi\Astronomy\DataSet\RawData\train_index.csv'
# 原始数据集文件存放地址
DATA_FILE_PATH = r'D:\MyProjects\TianChi\Astronomy\DataSet\RawData\TrainingData'
# 采样数据文件存放根目录
SAMPLE_ROOT_PATH = ... |
989,952 | ee21f80715923909b6219b8681c73938587eb032 | """
python的参数转换器
"""
from flask import Flask
from werkzeug.routing import BaseConverter
app = Flask(__name__)
# 1. 定义自定义的转换器
class RegexConverter(BaseConverter):
"""自定义转换器，用于处理参数和接收参数"""
def __init__(self, url_map, regex): # 第二个参数，是flask初始化此转换器传递的，第三个是自定义的路由规则传递进来的
# 调用父类的初始化方法
super(Regex... |
989,953 | cadb3f74103c4285ff20edfe4c210e47fc51d4d7 | # window parameters
icon_name = 'car.ico'
size = (1050, 600)
title = 'Car Shop App'
path_img = 'images/'
# toolbar icons
file_img = 'file.png'
save_img = 'save.png'
home_img = 'home.png'
search_img = 'search.png'
print_img = 'print.png'
ID_BUTTON = 100
# database connection
host = 'localhost'
user ='nadya'
passwor... |
989,954 | a4fbee525c647514a93c7cf53dfadf02693ee192 | from lxml import etree
import sys
import re
if(len(sys.argv) > 2):
input_filename = sys.argv[1]
output_name = sys.argv[2]
else:
print "Usage: python remove_unwanted_spaces.py <input harem> <output file>"
sys.exit()
tree = etree.parse(input_filename)
for ps in tree.iterfind('//P'):
inside_ps = etree.tostring... |
989,955 | e9ff762ce44e23422a102b4d4bbff9a6940b80e1 | from pathlib import Path
from mock import ANY, Mock, patch
from ruamel.yaml import YAML
from dwalk.cli import CLI
def test_args() -> None:
assert not CLI().args.include_meta
assert not CLI().args.version
def test_args__version() -> None:
assert CLI(["--version"]).args.version
@patch("dwalk.cli.CLI.p... |
989,956 | 2d18fca1b2379676fd96c9f980d7287e90b5b3ec | #!/usr/bin/python
import numpy as np
import itertools as it
from typing import Iterable
from collections import Counter
from sage.arith.functions import LCM_list
import warnings
import re
import matplotlib.pyplot as plt
import inspect
# 9.11 (9.8)
# 9.15 (9.9)
PLOTS_DIR = "plots"
class CableSummand():
def __init... |
989,957 | fb5b69d6bd1699377d65ce0b0b8c241373abd612 | import os
from colander import SchemaNode, MappingSchema
from deform import FileData, Form, ValidationFailure
from deform.widget import FileUploadWidget
from pyramid.httpexceptions import HTTPFound
from pyramid.i18n import TranslationStringFactory
from pyramid.security import remember, forget
from pyramid.view import ... |
989,958 | b8d9a96f3a3c15e81486e3d370ef16a746d964b3 | # we use break to stop a loop
for item in ["balloons", "flowers", "sugar", "watermelons"]:
if item != "sugar":
print("We want sugar not " + item)
else:
print("Found the sugar")
break
# Output:
"""
We want sugar not balloons
We want sugar not flowers
Found the sugar
""" |
989,959 | bbb5b3625278ee3020c439cf6ca49761a724b9e5 | import sqlite3
from sqlite3 import Error
import os
import pandas as pd
import json
from flask import jsonify
db_path = os.path.abspath('../data/testdb.db')
sql = " INSERT INTO frequent_browsers \
SELECT personID, COUNT(personID) AS num_sites_visited FROM visits \
LEFT JOIN sites ON sites.id=visits.... |
989,960 | 1e8ed3f02def00383d3aae174426823f35c5847f | #strftime method is used to convert datetime as string format
from datetime import datetime
timestamp=1528797322
date_time=datetime.fromtimestamp(timestamp)
print("date and time: ", date_time)
d=date_time.strftime("%m/%d/%Y, %H:%M:%S")
print("Output 2:", d)
d=date_time.strftime("%d %b, %Y")
print("Output 3:", d)
d=da... |
989,961 | 2c94d2c2ed45b6180c1831397686be0b0a071ea0 | #!/usr/bin/python
import os
import requests
import bitly_api
import blower
import tweet
import twilio_sms
from log import log_job
from rq import Queue
from worker import conn
from datetime import datetime
from pytz import timezone
tz = timezone('US/Pacific')
price_target = 35
earliest = 8
latest = 23
_blower = False
... |
989,962 | 4c1ee3275d87bc28538e0c810e0aa2fe85cb3457 | print("Bitoperatoren")
a = 6
b = 7
print("a = {:04b}".format(a))
print("b = {:04b}".format(b))
print()
print("a & b = {:04b}".format(a & b)) # AND
print("a | b = {:04b}".format(a | b)) # OR
print("a ^ b = {:04b}".format(a ^ b)) # XOR
print()
# NOT
print("~a = {:04b} (Ausgabe mit Vorzeichen!)".format(~a)) # gi... |
989,963 | 2b433b97e0f52db77b44bba37a1f10f3d57e72af | # Copyright 2018 DeepMind Technologies Limited.
#
# 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 or ag... |
989,964 | ac8c6bb318ef8c37f3a5ccf6f3e150ae862237f3 | # Critter Caretaker
# Virtual pet to care for
class Critter(object):
"""A virtual pet"""
def __init__(self,name,hunger=0,boredom=0):
self.name = name
self.hunger = hunger
self.boredom = boredom
def __pass_time(self):
self.hunger+=1
self.boredom+=1
... |
989,965 | 3b10841758f98f911670fe11abf80d86ab204f12 | from sklearn import datasets
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_samples, silhouette_score
random_state = 100
blobs = datasets.make_blobs(
n_samples = 500,
n_features = 1... |
989,966 | 07ab8719677ee2597ba4a27977bdbcc72aafbef8 | """Extension of app JSON capabilities."""
import flask
import pytest
from flask_mongoengine import MongoEngine
from flask_mongoengine.json import use_json_provider
@pytest.fixture()
def extended_db(app):
"""Provider config fixture."""
if use_json_provider():
app.json_provider_class = DummyProvider
... |
989,967 | 72fedf1334ecd62c78b8f32b35a22421cf06b69a | from PyQt5.QtGui import QIntValidator, QDoubleValidator
from PyQt5.QtWidgets import QLineEdit
def set_validator(edit: QLineEdit, type: str):
validator = None
if type == 'int':
validator = QIntValidator()
elif type == 'float':
validator = QDoubleValidator()
edit.setValidator(validator)
|
989,968 | 6447f591bed4cc660a8d12eaa32dfb4202b4e11a | import twitter
import json
from collections import Counter
from prettytable import PrettyTable
from bs4 import BeautifulSoup
import requests
seen = {}
### https://github.com/edsu/shortpipe/blob/master/shortpipe
def unshorten(url):
url = url.strip()
if url in seen:
return seen[url]
new_url = url
... |
989,969 | de9a6532c93f86a3a38b0411cb18e3c1e4b758ed | from django.apps import AppConfig
class Practica1Config(AppConfig):
name = 'Practica'
|
989,970 | 5e35f7e3ce871d63864976b17b149d20f4afde78 | from flask import Blueprint,render_template,request,url_for,redirect
from app.trade_form import REGIONBForm
trade_bp = Blueprint('trade_bp',__name__, template_folder='templates', url_prefix='/trade')
from run import application
from app import trade_util
from app.trade_util import TradeUtil
logger=application.config['l... |
989,971 | 28dc1d1fb626cc1265e618e036c8ea34863a993b | # Generated by Django 3.1.7 on 2021-04-30 12:07
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('case_app', '0004_auto_20210424_0508'),
]
operations = [
migrations.AlterField(
model_name='case',
name='contribute_c... |
989,972 | e2beb5e069669024dc51cc4852d4c049fc3307a4 | # Generated by Django 3.1.2 on 2020-11-21 14:09
from django.db import migrations, models
import django_cryptography.fields
class Migration(migrations.Migration):
dependencies = [
('shop', '0005_auto_20201121_1528'),
]
operations = [
migrations.AlterField(
model_name='card',
... |
989,973 | a2135f2a95fc657cd8cde78ced3b321670746665 | import io #stdio
archivo = open("arch.txt","r")
archivo.seek(5)#se situa en el caracter de una linea
lineas = archivo.read()
print (lineas)
import pickle
lista = [1,2,"hola",["holanda"]]
fichero = open("archivo.pckl","wb")
pickle.dump(lista,fichero)
fichero.close()
fichero = open("archivo.pckl","rb")
data = pickle.loa... |
989,974 | 0a9f30f0b2c886e0fcec5b7117c06ff44b8c507d | import numpy as np
import cv2
image =cv2.imread("/../images/plant.jpg",-1)
image.shape
#getTickCount() returns number of clock count
#getTickFrequency() return number of clock-cycles per second.
start_time = cv2.getTickCount()
for i in range(1,50,2):
cv2.medianBlur(image,i)
print((cv2.getTickCount()-start_time)... |
989,975 | ba6e7d5ba2a0182661dc26f06c51af5b4d2df1db | import pyeccodes.accessors as _
def load(h):
h.add(_.Constant('GRIBEXSection1Problem', (52 - _.Get('section1Length'))))
_.Template('grib1/mars_labeling.def').load(h)
h.add(_.Constant('operStream', "oper"))
h.alias('mars.stream', 'operStream')
h.add(_.Unsigned('band', 1))
h.alias('mars.obstype... |
989,976 | c9dcba07b5d79de8c5321375607714c08bf17f8d | import numpy as np
import unittest
from flare.common.error_handling import LastExpError
from flare.common.replay_buffer import Experience
from flare.common.replay_buffer import ReplayBuffer, NoReplacementQueue, Sample
class TestNoReplacementQueue(unittest.TestCase):
@classmethod
def is_episode_end(cls, t):
... |
989,977 | cf4d8e3043fdc1040bbb3a3baa9c8fda7b829f2d | def main():
qtd_testes = int(input())
for i in range(qtd_testes):
#input só para atender o formato da entrada
input()
#Recebe a linha, faz split e converte cada itens do split em Int()
alunos = [int(i) for i in input().split(' ')]
#Atribue a alunos_desc os alunos ordenados descrecente.
alunos_desc = so... |
989,978 | 4bc18daa0b696bbb46993aa65a4944c1f8b6df1b | from bs4 import BeautifulSoup
import urllib3
import socket, threading
from HtmlParse import *
from Server import *
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
s.bind(('', 1911))
s.listen(10)
lock = threading.Lock()
while True:
(client_sock, clien... |
989,979 | 4a956c80d5a18918cd3d0564eeabfc71a6447074 | """
Neural networks
"""
from pathlib import Path
import pytorch_lightning as pl
import torch
import torchvision.transforms as transforms
from torch.utils.data import DataLoader, Subset
from torchvision.datasets import MNIST
from .nopeek_loss import NoPeekLoss
class SplitNN(pl.LightningModule):
def __init__(self... |
989,980 | c75b47c5bb9a7717580a87b8d634824ba768abfb | from deuces.deuces import Card, Evaluator, Deck
evaluator = Evaluator()
def str2cards(s):
"""Parse a string like 'as8sqdtc3d3c' to a simple (flat) list of
deuces card objects (in reality integers).
"""
assert len(s) % 2 == 0
str_list = []
cards = []
for cardnum in range(len(s) / 2):
... |
989,981 | c4b754d4d4f2c5bb83878c136b240072f2144989 | import pytest
class TransportPacket:
def __init__(self, data):
self.raw = data
def display(self):
readable = ''
for byte in self.raw:
print(hex(byte), end=' ')
print()
def is_sync(self):
return self.raw[0] == 0x47
|
989,982 | 7d30405de22dd3aef980b9252207216895ca209e | S = input()
N = len(S)
flag = [0,0,0]
if S=="".join(reversed(list(S))):
flag[0]=1
if S[:int((N-1)/2)]=="".join(reversed(list(S[:int((N-1)/2)]))):
flag[1]=1
if S[int((N+3)/2)-1:]=="".join(reversed(list(S[int((N+3)/2)-1:]))):
flag[2]=1
print("Yes" if flag==[1,1,1] else "No")
|
989,983 | 6692ad9a42422bcf12a9a85b932e58f48d55680f | import micropython
import xbee
import uio
import uos
from umqtt.simple import MQTTClient
from sys import stdin, stdout
import network
import machine
import json
import time
import utime
import sys
import gc
from sites.siteFile import pubTopic
SERVER = pubTopic.server_Address
msg_Topic = pubTopic.MESS... |
989,984 | 9299db17621431e56bd0a40cace8702a8bd4dfa8 | def remove_dups(lst):
result=[]
for x in lst:
if x not in result:
result.append(x)
return(result)
|
989,985 | b9bf8ea7a871d7380860f6f661c42ffe2f338303 | import random
import sys
from host import GO
def readInput(n, path="input.txt"):
with open(path, 'r') as f:
lines = f.readlines()
piece_type = int(lines[0])
previous_board = [[int(x) for x in line.rstrip('\n')] for line in lines[1:n+1]]
board = [[int(x) for x in line.rstrip('\n')]... |
989,986 | 86a6b7bc2d3bc5a8de16f7060627cef33e3dfa6f | class Shout(object):
def __init__(self, text):
self.text = text
def _repr_html_(self):
return "<h1>" + self.text + "</h1>"
|
989,987 | 2b4e9d6953b6a3dd1e085b509434ca1fccfb7726 | N = int(input())
a = [int(i) for i in input().split()]
x = int(input())
ans = "NO"
for i in range(N):
if a[i] == x:
ans = "YES"
print(ans) |
989,988 | 8338974335408fcd90d697841117c838d6a58fb2 | #!/usr/bin/env python
#3.6
import argparse
import random
import struct
import sys
import Queue
print(sys.version)
import rospy
import subprocess
import baxter_interface
from baxter_interface import CHECK_VERSION
import ikpy
import numpy as np
from ikpy import plot_utils
from ikpy.chain import Chain
from ikpy.li... |
989,989 | c75e8da258728bd432a040895ad0ed62b6b1e7bc | import sqlite3
conn = sqlite3.connect('meeting.db')
c = conn.cursor()
#search by project_name or meeting_date
while 1:
n = int(input('\n1.Search by project name\n2.Search by meeting date\n3.Quit searching\n\nYour choice : '))
if n==1:
name = input('\nEnter project name : ')
c.execute("select * from meet... |
989,990 | efc31df5a8f55a7d2d6a67d47bde5326e500abba | """AD5272 - device access class for the AD5272 I2C potentiometer
Provides access to control the wiper positions for the AD5272 device with
helper methods to set potential differences and resistances in potential
divider and rheostat mode respectively.
Adam Davis, STFC Application Engineering Group.
"""
from i2c_devi... |
989,991 | a508362865a1a4268d17eda17be176ebf3dce5ad | from django import forms
from .models import GrievanceForm, ApplicationStatus
class StudentHomeViewForm(forms.ModelForm):
class Meta:
model = GrievanceForm
fields = ('document1', 'document2', 'document3', 'document4', 'document5', 'preferedStation1',
'preferedStation2', 'preferedStatio... |
989,992 | 387b0ed278b0fef3c0a5953227cf6d16534ddbf0 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""NowcastingPlus is a basic model for short-term forecasting.
This modules contains class NowcastingParams, which is the class parameter
a... |
989,993 | 1b9910e3702965de1588a604022ba1064cd00bc3 | _ = input().split(' ')
my_list = ([int(i) for i in input().split(' ')])
first_set = set([int(i) for i in input().split(' ')])
second_set = set([int(i) for i in input().split(' ')])
p = 0
for i in my_list:
if i in first_set:
p += 1
if i in second_set:
p -= 1
print(p)
|
989,994 | 52d67cc8967c1e37ed4d4a5a12401e55132c04ce | # Generated by Django 3.1.1 on 2021-01-04 09:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('overview', '0004_auto_20210104_1707'),
]
operations = [
migrations.CreateModel(
name='host_notmonitor',
fields=[
... |
989,995 | 7308465ba85622d1a362a13ed986bade61705c17 | import reversion
from django.utils.timezone import now
from rest_framework import status
from rest_framework.reverse import reverse
from reversion.models import Version
from datahub.company.constants import BusinessTypeConstant
from datahub.company.models import Company
from datahub.company.test.factories import Compa... |
989,996 | 0b910a2daaa7b40f477c2c00a0756ce18305e2b2 | import secrets
import string
import typing
import jwt
class InvalidToken(Exception):
pass
def generate_jwt_token(secret: str) -> str:
encoded_jwt = jwt.encode({"usage": "authentication"}, secret, algorithm="HS256")
return encoded_jwt.decode("utf-8")
def validate_jwt_token(token: str, secret: str) -> ... |
989,997 | 4d05fe08e21c2ce181eca2efd2ad5bec0fc2aaba | from django.conf.urls import include, url
from django.contrib import admin
import pollsapi.views
urlpatterns = [
url(r'^admin/', include(admin.site.urls)),
url(r'^polls/$', pollsapi.views.PollList.as_view()),
url(r'polls/(?P<pk>[0-9]+)/$', pollsapi.views.PollDetail.as_view()),
url(r'^create_user/$', ... |
989,998 | 448711ec340d75176fea03ea2cb39132fd373ec3 | print("안녕하세요?")
print("programming에 입문하신 것을 축하드립니다.") |
989,999 | 39f8928e22c9ceb08719a3fdbb7353a776c2acac | import pytest
from plotboss.plotlog import PlotLogParser
from datetime import datetime
import pendulum
def test_log_parser():
p = PlotLogParser()
p.buffer = 0
p.size = 0
p.buckets = 0
p.num_threads = 0
assert p.size == 0
assert p.buffer == 0
assert p.buckets == 0
assert p.num_thread... |
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