index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
985,500 | 07a02959748eed5b3a8f8ecb2ce6fbe5a4e4688f | import os
import numpy as np
def processData(datawithmissing,windowSize):
train_roadList=[]
for i in range(datawithmissing.shape[0]):
tempdata=datawithmissing[i]
if i==0:
trainLabel=tempdata[tempdata>0]
else:
trainLabel=np.hstack((trainLabel,tempdata[tempdata>0])... |
985,501 | 7b53eaa67a065a32a12d3b9f172a2e61b2c21160 | # coding: utf-8
# octal decimal
# raquel ambrozio
numero_octal = raw_input()
expoente = len(numero_octal)
decimal = 0
for i in range(len(numero_octal)):
expoente -= 1
decimal0 = int(numero_octal[i]) * (8 ** expoente)
decimal += decimal0
print "%d * 8^ %d = %d" % (int(numero_octal[i]),... |
985,502 | 5f0215c7c3ea9b07f1cd07517b1dcca0c18ca8dc | class Persona:
def __init__(self,nombre,apellido,edad,sexo,nombreUsuario,contra,tele,tipo):
self.nombre=nombre
self.apellido=apellido
self.edad=edad
self.sexo=sexo
self.nombreUsuario=nombreUsuario
self.contra=contra
self.tele=tele
self.tipo=tipo
# MET... |
985,503 | d29976adef476c2e38c80ab07607b17d366db8b2 | # flake8: noqa
import unittest
import repour.server.endpoint.validation as validation
import voluptuous
class TestPrimitives(unittest.TestCase):
def test_nonempty_str(self):
self.assertEqual("asd", validation.nonempty_str("asd"))
self.assertEqual("asd qwe", validation.nonempty_str("asd qwe"))
... |
985,504 | 9aa2abc222c3737dcd50de134250340a79ba0ea7 | ##-------------------------- Example 4. Tune Activation Function ---------------------------------
#The activation function controls the non-linearity of individual neurons and when to fire.
#Generally, the rectifier activation function is the most popular, but it used to be the sigmoid
#and the tanh functions and th... |
985,505 | f0dcb015c6590200b6ad909342ec31341c665f6e | #!/usr/bin/env python
# -*- coding: utf-8 -*-
########################################################################
#
# Copyright (c) 2018 Wan Li. All Rights Reserved
#
########################################################################
"""
File: pysaver.py
Author: Wan Li
Date: 2018/07/22 14:47:52
"""
import ... |
985,506 | b24b284344cba95c0f31c54733d0d51b5b2f0dff | """ business days module """
import datetime
import holidays
def business_days() -> list[datetime.date]:
start_date = datetime.date(2021, 5, 1)
end_date = datetime.date(2021, 6, 1)
us_holidays = holidays.US()
delta = end_date - start_date
print("For start date", start_date, "and end date", end... |
985,507 | 3ac429e5f30ad111368531820df96c4114b22e71 | import networkx as nx
import numpy as np
def sbm(sizes, prob_matrix):
def get_comm_label(node):
print("test")
g = nx.Graph()
N = np.sum(sizes)
last_node_labels = np.cumsum(sizes)
for source in range(N):
for target in range(source+1, N):
pass
tst()
p_matrix = n... |
985,508 | b74cfd1fdc81a973281dc119097ae4660410b1f9 | import FWCore.ParameterSet.Config as cms
from RecoEgamma.EgammaIsolationAlgos.eleTrackExtractorBlocks_cff import *
eleIsoDepositTk = cms.EDProducer("CandIsoDepositProducer",
src = cms.InputTag("gedGsfElectrons"),
trackType = cms.string('candidate'),
MultipleDepositsFlag = cms.bool(False),
ExtractorPSe... |
985,509 | c1f3ff16569ab776a2dc62d6826db6f385e8e8e9 |
import unittest
import numpy as np
from recursive import split_matrix
class TestSplitMatrix(unittest.TestCase):
def test_triangular(self):
a = np.array([
[1, 2, 3],
[0, 4, 5],
[0, 0, 6]
])
self.assertEqual(split_matrix(a), 0)
a = np.array([
... |
985,510 | f23a00f25f81cc6f16a881f43715db6aac90607e | import matplotlib
import matplotlib.pyplot as plt
from matplotlib import gridspec
import numpy as np
matplotlib.rc('text', usetex = True)
import pylab
import sys
import os
import pandas as pd
inputfilename = sys.argv[1]
outputfilename = sys.argv[2]
#inputfilename = "D:/results/sampled/SampledRegression_average_0.txt... |
985,511 | c64993424b13e222ea226e209bef608f7a571cad | # -*- coding: utf-8 -*-
# @Time : 2019-08-26 22:50
# @Author : Wei Peng
# @FileName: __init__.py
from flask import Flask
from config import Config
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config.from_object(Config)
# print(app.config["SECRET_KEY"])
db = SQLAlchemy(app)
db.create_all()
db... |
985,512 | d167ba11cba2fa3ccb595289bca9fb671a6594e5 | from aws_cdk import (
aws_ec2 as ec2,
aws_iam as iam,
aws_eks as eks,
core
)
class VpcStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, props, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
self.vpc =... |
985,513 | 69e6da22b4d79b23de17b0fd05cc05c503376c4c | '''
directorPython demoPointCloud.py --interactive
Listens to a point cloud topics and draws it in a UI
'''
from director import segmentation
from director.consoleapp import ConsoleApp
from director import drcargs
from director import vtkAll as vtk
import vtkRosPython as vtkRos
from director import applogic
from dire... |
985,514 | 8f287ea0f91f8bf411f17e717dab91a0f5dfae1c | class Person:
def say_hi( self) :
print( ' Hello, how are you?' )
p = Person( )
p. say_hi( )
# 前面两 行同 样可以写 作
# Person( ) . say_hi( )
|
985,515 | 4fed0034328f7259d3c4e2db3789c01e903ed7a4 | import pickle
import segmentation_models_pytorch as smp
from tqdm import tqdm
class Validator:
def __init__(self, model, optimizer, loader, imgsize):
self.loader = loader
self.model = model
self.optimizer = optimizer
self.imgsize = imgsize
self.results = {"thresholds": [], ... |
985,516 | e6b029737a1987b71aa540d682a59ffd2d312578 | import glob
import time
import math
import tkinter
from tkinter import *
from tkinter.messagebox import showinfo
# Funktionen definieren-------------------------------------------------------------------------------------------------
def save():
if not glob.glob("Drehen.csv"):
ergebnisliste = open("Dreh... |
985,517 | a6726fe7b447fb2e6aef170fd32f5b277a1981b6 | import pandas as pd
list_uninsured = ["Abilene, TX Metro Area <br \/> Percent Uninsured: 13.7% <br \/> Number Uninsured: 21,000",
"Akron, OH Metro Area <br \/> Percent Uninsured: 5.0% <br \/> Number Uninsured: 35,000",
"Albany, GA Metro Area <br \/> Percent Uninsured: 15.2% <br... |
985,518 | 5804e6dd9cf1dfd4c49520575639362b4eba97bc | import pygame
pygame.init()
class Display():
displayWidth = 800
displayHeight = 600
black = (0, 0, 0)
white = (255, 255, 255)
red = (255, 0, 0)
gameDisplay = pygame.display.set_mode((displayWidth, displayHeight)) #Init display
def text_objects(self, text, font):
... |
985,519 | 2d27c65ac49c63f61621a0a227e0237df76d46ca | ''' Read input from STDIN. Print your output to STDOUT '''
#Use input() to read input from STDIN and use print to write your output to STDOUT
def main():
t = int(input())
for _ in range(t):
n = int(input())
integerList = list(map(int,input().split()))
maxsum = 0
for i in r... |
985,520 | 191cfb38c8a7490729741e10da938f54f4cc6aae | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import librosa
import sklearn
import warnings
import data_reading
import noisereduce as nr
import preprocessing
# A function that prevents warnings when loading in files with librosa
warnings.simplefilter("ignore")
# A function for calculating aut... |
985,521 | d6a1593b170d710ef9726610f5c824a46e9a3be0 | from random import randint
print("{:=^40}" .format(" JOGO DE DADOS "))
dado = randint(1, 7)
opcao = 1
print('''VOCÊ GOSTARIA DE JOGAR O DADO?
[ 1 ] SIM
[ 2 ] NÃO''')
opcao = int(input("Escolha sua opção: "))
while opcao != 1 and opcao != 2:
print("OPÇÃO INVÁLIDA! Escolha uma nova opção!")
opca... |
985,522 | 53b8b16cd8940c03f2ee686c5d6978f0a7a7758a | #!/usr/bin/env python
import roslib
import rospy
import tf
import time
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
import math
#class Kinect:
def turn(y_pos, lr_lim):
if y_pos < -lr_lim or y_pos > lr_lim:
result = math.copysign(angle,y_pos)
else:
result = ... |
985,523 | a5a954792967370f1d03543bb272372468d85f36 | """
{{cookiecutter.project_label}} Setup
"""
import os
import re
from setuptools import setup, find_packages
VERSION = os.getenv('VERSION', '0.0.0')
# Read in the package names from requirements.txt,
# all of which should be required for the package to function
package_deps = None
with open('requirements.txt') as ... |
985,524 | 09537a9daf20b1d1447890012209ededc69c614b | ###imports
import sklearn
from SVM import SVMprocess
from KNN import KNNprocess
from NaiveBayes import NBprocess
from RandomForest import RFprocess
SVMtime,SVM_kfold_acc, SVM_loo_acc = SVMprocess()
KNNtime, KNN_kfold_acc, KNN_loo_acc = KNNprocess()
NBtime, NB_kfold_acc, NB_loo_acc = NBprocess()
RFtime, RF_kfold_acc, ... |
985,525 | 05341b5df1ba4f1473ce8181bc29625d0a7c3beb | # Tested
# Verified
def bidirectional(adjList, source, target):
fronts = [[source], [target]]
visited = [set([source]), set([target])]
cnt = [0, 0]
prev = [{source: None}, {target: None}]
border = []
if source == target:
border.append(source)
while all(fronts) and not border:
... |
985,526 | 3f1cfdbd832c0cb0bff9b3cce7c297b1514d8bb4 | #_*_coding:utf-8_*_
#统计模板
import stat_base
import sconf
import mysqlwrap
from httpwrap import HttpWrap
from sphinxwrap import sphinx
import rediswrap
import utils,json
#-------参数配置文件-----#
def get_cnf_val(k,dist):
"""递归取出joson配置信息值
"""
if '.' not in k :
return dist[k] if k in dis... |
985,527 | 8e5df3a0943c012c7029b31cbb17caf05e426e4f | # 这是第一个注释
print("hello hello")
"""
这是一个多行注释
。。。。
。。。。
。。。。
注释结束了
"""
# 这是第二个注释 为了保证代码的可读性，注释和代码之间 至少要有 两个空格
print("hello world") # 输出欢迎信息
|
985,528 | 3473f3434e9abbc63f7acd4b0c1b91432e042a62 | /Users/Storm/Documents/Python/anaconda2/lib/python2.7/stat.py |
985,529 | dd2b3773a1793938a26e60af34afeedf72aa6bb1 | #coding:utf-8
import wx
app = wx.App()
win = wx.Frame(None,title="simple Editor",size=(410,335))
bkg = wx.Panel(win)
LoadButton = wx.Button(bkg,label='Open')
SaveButton = wx.Button(bkg,label='Save')
filename = wx.TextCtrl(bkg)
contents =wx.TextCtrl(bkg,style=wx.TE_MULTILINE|wx.HSCROLL)
hbox = wx.BoxSizer()
hbox.Add... |
985,530 | 0c465968d76ba78a96830c730424dfbd17cb70bc | import os
import sys
import time
from gooey import Gooey
from gooey import GooeyParser
import pafy
from pytube import Playlist
running = True
pListUrl = []
pathToSave = None
@Gooey(optional_cols=2,
program_name="Youtube Downloader",
dump_build_config=True,
show_success_modal=False)
def main():
... |
985,531 | b14edc051eabf7c7cf7e69dd174009de56cfd3d1 | import unittest, time
from HTMLTestRunner import HTMLTestRunner
import smtplib
from email.mime.text import MIMEText
from email.header import Header
from email.mime.multipart import MIMEMultipart
import os
#指定测试用例为当前文件夹下的test_case
test_dir='./'
discover=unittest.defaultTestLoader.discover(test_dir,pattern='te... |
985,532 | daf3346ee9f34eb5f9abe6b0ab4ffed9368cd9a8 | '''
1) Modifique o programa abaixo para exibir o que se pede:
x=1
while x<=3:
print(x)
x=x+1
'''
# a) Exibir os números de 1 a 100.
x = 1
print('Numeros de 1 a 100:\n')
while x <= 100:
print(x, end=' ')
x += 1
print('\n')
# b) Exibir os números de 50 a 100.
... |
985,533 | 1a3052b51a4ec24437b72262c218210e5d6a4236 | from kivy.app import App
from kivy.core.window import Window
from kivy.uix.widget import Widget
from kivy.graphics import Color, Rectangle
from kivy.config import Config
from kivy.clock import Clock
from kivy.utils import get_random_color
from kivy.properties import ObjectProperty
from random import *
'''
obtener toda... |
985,534 | 9472c9ba456ff7a9f4714c8d316c1fc6e23bea7e | from sys import exit,argv
from os import getcwd,system
from PyQt5.QtWidgets import QApplication,QMainWindow,QLabel,QLineEdit,QPushButton,QMessageBox
from urllib.request import urlretrieve
class Window(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle('Download İmage')
self.s... |
985,535 | 1093805058f3bf8ab3284a60fc65ce1c3d341af7 |
# Iterative approach
def reverseList(arr, start, end):
while start < end:
arr[start], arr[end] = arr[end], arr[start]
start += 1
end -= 1
# recursive approach
def recursiveReverseList(arr, start, end):
if start >= end:
return
temp = arr[start]
arr[start] = arr[end]... |
985,536 | 95c12f6c727e54246d40ca3a0f1b207d8dbae4fe | from django.db import models
import datetime as dt
from django.contrib.auth.models import User
from tinymce.models import HTMLField
from cloudinary.models import CloudinaryField
class Tag(models.Model):
name = models.CharField(max_length = 30)
def __str__(self):
return self.name
cl... |
985,537 | 67727abea626f8164024e5be005b50f68b7504d2 | # Generated by Django 3.2.9 on 2021-12-07 21:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("courses", "0032_auto_20211004_1733"),
]
operations = [
migrations.AddField(
model_name="courserun",
name="catalog_vis... |
985,538 | 59d46db18edbaac50618dfdbf5a1d9ec05760086 | def conta_bigramas(s):
i = 0
a = dict()
while(i < len(s)-1):
bi=s[i] + s [i+1]
if bi in a:
a[bi]+=1
else:
a[bi]=1
i+=1
return a
|
985,539 | 1c5a0ea7c0a9cbf16ac7c0c5d5660c6bfda2563b | import mathpack.MymathFunctions
addres=mathpack.MymathFunctions.add(10,20)
print(addres)
#from mathpack.MymathFunctions import *
#data=add(10,20)
#print(data)
#data1=sub(20,10)
#print(data1) |
985,540 | 41a3dd1a12ed1099ed054a10e6647a5dbd1718db | # -*- coding: utf-8 -*-
import math
f= float(input('digite f:'))
l= float(input('digite l:'))
q= float(input('digite q:'))
delta= float(input('digite delta:'))
v= float(input('digite v:'))
d=(8*f*l*q**2/math.pi**2*9.81*delta)/(1/5)
rey=(4*q/math.pi*d*v)
k=0.25/(math.log10(0.000002/3.7*d+5.74/rey**0.9))**2
print(d)
prin... |
985,541 | 610ecf2b8e695e21164c8697898f1737b2353303 | from rest_framework import generics, status, permissions
from rest_framework.response import Response
from rest_framework.reverse import reverse
from rest_framework.throttling import ScopedRateThrottle
from .models import Usuario, Conta, Cartao, Fatura, Lancamento
from .serializers import UsuarioSerializer, ContaSeria... |
985,542 | 53e1889f94c354e5dcee49dd247f60386a07a2b5 | """
Add the Prime Numbers that are Anagram in the Range of 0 1000 in a Queue using
the Linked List and Print the Anagrams from the Queue. Note no Collection Library
can be used
"""
from Data_Structure_Programs.queue import Queue, Node
from Data_Structure_Programs.Prime_Number import Prime
obj = Queue()
# creating o... |
985,543 | 18e8d588bc49792ec2d6fd9c89c547f35608c015 | import subprocess
import os
import shutil
import unittest
import shlex
# testdirectory = '/Users/jibrankalia/tmp/ls-test'
# testdirectory = '/tmp/ls-test'
testdirectory = '~/tmp/ls-test'
def buildEnv(directory=testdirectory):
if not os.path.exists(directory):
os.makedirs(directory)
def cleanEnv(directory... |
985,544 | abebd29206cc59c14d8d51917a5f8c2ff95bfa7b | from PIL import Image
import os
import numpy as np
import torch
import torch.utils.data as Data
from torchvision import transforms
import json
import aConfigration
from tqdm import tqdm
dataRootPath = '../datas'
trainPath = '/AgriculturalDisease_trainingset'
validPath = '/AgriculturalDisease_validationset'
testPath =... |
985,545 | 6542678c25c7b3cc1096e689ad476ee141aaa40a | import time
import inspect
from functools import partial
import torch
import pandas as pd
from loguru import logger
from sklearn.metrics import precision_recall_fscore_support
def to_device(x, device):
if not isinstance(x, dict):
return x
new_x = {}
for k, v in x.items():
if isinstance(... |
985,546 | 3ede7c9d2081e88199c5008edd784e2d8676f96b | class Config(object):
DEBUG = True
secret_key = 'secret'
|
985,547 | 0a03806dae46dc915bffe3d712b19c4705f693d7 | #
# This file is part of VIRL 2
# Copyright (c) 2019-2023, Cisco Systems, Inc.
# All rights reserved.
#
# Python bindings for the Cisco VIRL 2 Network Simulation Platform
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obta... |
985,548 | c235d9533272429b5f21a13b29f23b54c137e5de | from random import randrange
from tkinter import *
class MainWindow():
def __init__(self, root, W=10, H=16):
self.W, self.H = W, H
self.root = root
self.root.title = "Game"
self.canvas = Canvas(root, width=self.W*30, height=self.H*30, bg="white")
self.canvas.grid(column = 0,... |
985,549 | 3f144c999c53b9796954ce04f699114dcd5ceff2 | # import libraries
import pandas as pd
import numpy as np
from sqlalchemy import create_engine
import nltk
from nltk.tokenize import word_tokenize, sent_tokenize
nltk.download('stopwords')
nltk.download('wordnet')
nltk.download('punkt')
from nltk.stem import WordNetLemmatizer
from nltk.stem.porter import PorterStem... |
985,550 | fe9226da9357391b50f552e66b15a88f54f29df4 | from django.contrib import admin
from .models import Chapter, Recipe
admin.site.register([Chapter, Recipe])
|
985,551 | 60022294439eb413e2a828ce6c4e6953133d6912 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 08 17:16:36 2017
@author: nitin.kotcherlakota
"""
import pygame
pygame.init()
#To set a resolution.
surface = pygame.display.set_mode((800,400))
pygame.display.set_caption('Helicopter')
#All computer games has frames per second
clock = pygame.time.Clock()
game_over = F... |
985,552 | a4b0f9ac34dc2c544385e08e6d3b6c435c224cfd | def alphabet_position(text):
import string
alphanumeric_filter = filter(str.isalnum, text)
tt = "".join(alphanumeric_filter)
m = tt.lower()
k = list(m)
lst = list()
for char in k:
k = string.ascii_lowercase.index(char) + 1
lst.append(k)
stringList = ' '.join([st... |
985,553 | 66842081a9070fa2a0ec18537c0780ba6af98f61 | import pandas as pd
csv = pd.read_csv("seeds_dataset.csv")
data = csv.values.tolist()
import numpy as np
def normalize_data(data_list):
data = np.asarray(data_list)
col_maxes = data.max(axis=0)
return (data / col_maxes[np.newaxis, :]).tolist()
splitted = []
for value in data:
tmp = value[0].split("... |
985,554 | 405806dbde04b8c55748cd8be55342344e887d72 | # -*- coding: utf-8 -*-
# Rodrigo - Prova 2, Correção de Texto, 3088
while True: #Repetirá o código até todos os casos forem testados.
try: #Serve para evitar o erro de EOF.
Frase=str(input()) #Entrada da frase a ser corrigida.
i=0 #Será usado abaixo.
while True:
if Frase[... |
985,555 | 696a8390c8056eb6260750d4e8f51d59e2847267 | import urllib
import urllib2
#python debug file ,test at python27
class Log:
serverURL = "http://17ky.xyt:8080"
token = 'xytschool'
forbidden = False
error = ''
def setServer(self ,url):
self.serverURL = url
def setToken(self, token):
self.token= token
def send(self ,... |
985,556 | d6c3fd99692d9eeb4f68b01113811be0ee0798de | # -*- coding: utf-8 -*-
"""RunMain.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1kCQxSaqlZvUz19ZfPYekVR6uZCFHbtF6
"""
from google.colab import drive
drive.mount('/content/gdrive')
import numpy as np
import cv2
import matplotlib.pyplot as plt... |
985,557 | f25bfb8d98bd61524dfb849e2ce2ce0973208f12 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
from contextlib import contextmanager
from typing import Any, Callable, Iterable, List, Optional, TYPE_CHECKING, Iterator
from numpy.random import RandomState
from nni.mutable import (
LabeledMutable, Mut... |
985,558 | c3e6b8ce467969e0755005ca97bb68efec756db6 | #28. Факторизация натурального числа
from collections import Counter
n = int(input("Integer: "))
factors = []
d = 2
m = n
while d * d <= n:
if n % d == 0:
factors.append(d)
n//=d
else:
d += 1
factors.append(n)
f_factors = Counter(factors)
str = str(f_factors)
str = s... |
985,559 | 7e056a431af3d8f2bc67c4d161c7a6b92ae8700e | # 连接数据库和爬虫
from sqlalchemy import create_engine
engine = create_engine('mysql+pymysql://tim:87654321@localhost:3306/douban')
conn = engine.connect()
a = conn.execute('select 1').scalar()
print(a) |
985,560 | 36ed0f31d1281f2648a0e3bd70e706ecf37d53bb | # select.py
# select instances that are not consistent with the condition
import sys
data = []
n = int(sys.argv[1]) # get the number of instances
for i in range(n):
d = input()
data.append(d)
pos = 0
nn = 0
np = 0
j = 0
while j < n:
a = data[j]
cond = (a[4] == 't')
if a[0] == 'p':
pos = pos + 1
i... |
985,561 | 2fab4304672cf5ae7920f00978059808e495d949 | #!/usr/bin/env python3
# This program 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, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in ... |
985,562 | 9d7f60bc0b0ee686f818dfa74cac0aad955e5d07 | import arrow
import os
from datetime import datetime, timedelta
from django.db import models
from django.utils.timesince import timesince
from django.utils.translation import ugettext_lazy as _
from django.core.validators import RegexValidator
from django.dispatch import receiver
from django.db.models import Sum
from d... |
985,563 | 114b45f83d3cfbc4d40cb798dd3d74cda1f2e74e | from typing import TYPE_CHECKING, Optional, Sequence
import dagster._check as check
from ..execution.context.hook import BoundHookContext, UnboundHookContext
from .resource_requirement import ensure_requirements_satisfied
if TYPE_CHECKING:
from ..events import DagsterEvent
from .hook_definition import HookDe... |
985,564 | 0a884ffe71efccb84c3b68b8ebff9b7a99dc0630 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# https://www.youtube.com/watch?v=NYJoyZHEW04
# Python 3 #2: переменные, оператор присваивания, типы данных
# = - связывания объекта """ "Helo World!!" """ или """ 5 """ с переменной Х
x = "Helo World!!"
print(x)
print(id(x))
print(type(x))
x = 5
print(x)
print(id(x))
... |
985,565 | d0fc2dcf2388e727557870029ad1145e41a7970c | # Copyright (c) 2017, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
# external
from mixbox import fields
# internal
import stix
import stix.bindings.stix_common as common_binding
# relative
from .vocabs import VocabField
class Names(stix.EntityList):
_namespac... |
985,566 | 215dfed8b4d8040f02d201eb7bf02f9b280d25d1 | # encoding=utf8
# coding=UTF-8
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def enviarEmail(destinatario, titulo, conteudo):
#print destinatario
me = "alertai@serpro.gov.br"
you = destinatario
msg = MIMEMultipart('alternative')
... |
985,567 | 91b63dcb3e7d9ce687dd720a477a290434798dd3 | #!/usr/bin/env python
import numpy as np
from myplot.basemap import Basemap
import matplotlib.pyplot as plt
import matplotlib.cm
lon_0 = -116.0
lat_0 = 33.4
llcrnrlon = -118.0
urcrnrlon = -114.0
llcrnrlat = 31.0
urcrnrlat = 35.0
bm = Basemap(lon_0=lon_0,lat_0=lat_0,
llcrnrlon=llcrnrlon,
llc... |
985,568 | f67cca62dc4c153677db20d9cebd2817ec91cdf5 | dictionary = dict(
theta13 = r'$\sin^2 2\theta_13$',
theta13_unit = '',
dmee = r'$\Delta m^2_{\text{ee}}$',
dmee_unit = r'$\text{eV}^2$',
dm21 = r'$\Delta m^2_{21}$',
dm21_unit = r'$\text{eV}^2$',
dm32 = r'$\Delta m^2_{32}$',
dm32_unit = r'$\text{eV}^2$',
psur = r'$P_\mathrm{sur}$',
... |
985,569 | 15a8f4f1ff842cb0087e76ee3949e35ef75e9c1d | # -*- coding: utf-8 -*-
from django.shortcuts import render, redirect
from .viewmodels import ContactViewModel
from .forms import ContactForm
Contact = ContactViewModel()
# Create your views here.
def view(request):
contact_list = Contact.contact_list()
return render(request, 'contact/index.html',
... |
985,570 | 0ea060b1abbfc62f9ec1fa2f4c5c3caa14605607 | import numpy
"""
欧几里得度量
"""
def EDD(l1, l2):
return numpy.sqrt(numpy.sum(numpy.square(numpy.array(l1) - numpy.array(l2))))
if __name__ == '__main__':
print(EDD(
[1, 2, 3, 4, 5, 6],
[1, 2, 3, 4, 5, 6],
))
|
985,571 | 67be688cd594f0a405046bad52c8a15105bfa685 | #!/usr/bin/env python3
# HashTable
# 衝突回避 チェイン法
# 時間計算量 挿入 O(1) 検索 O(1) 削除 O(1)
# 空間計算量 O(n+m) n=テーブルの大きさ m=エントリリストの数
class HashTable(object):
class Cell(object):
def __init__(self, key, value, next=None):
self.key = key
self.value = value
self.next = next
... |
985,572 | 82978c33dc0f9d621c44b5823f6e3d0f225b8859 | from sys import stdin
N = int(input())
arr = []
for i in range(N):
arr.append(int(stdin.readline()))
arr.sort(reverse=True) # 가격이 큰 것부터 처리해야 이득이다.
total = 0
ct = 0
for i in arr:
ct += 1
if ct % 3 == 0: # 세 번째 요소인 경우 넘어감.
ct = 0
continue
total += i
print(tota... |
985,573 | 363570690d68568e375e5779da8f614fe4edec4b | #!/usr/bin/env python
"""
pytorch_lifted_loss.py
"""
import torch
import torch.nn as nn
from torch.autograd import Variable
def lifted_loss(score, target, margin=1):
"""
Lifted loss, per "Deep Metric Learning via Lifted Structured Feature Embedding" by Song et al
Implemented in `pytorch`
"""
... |
985,574 | 61da755c9b7e936aff82abe93f2563e8be64983e | from flask import Flask
from flask import jsonify, make_response
from flask import request
app = Flask ('the-box-library')
books = [{
'name': 'Jurassic Park',
'author': 'Michael Crichton',
'id': '554',
'category': 'Thriller'
},
{
'name': 'Halo The Fall of Reach',
'author': 'Eric Nylund',
'id': '574',
... |
985,575 | f2545d666be324fb6fece70952b0fdb5b0cba13e | __author__ = 'aldnav'
from core import admin
import models
admin.register(models.Person)
admin.register(models.Mosquito) |
985,576 | eed65640954c000771eb91f1113e13a1134fd367 | from kivy.app import App
from kivy.uix.screenmanager import ScreenManager
from Screens.CaptchaScreen import CaptchaScreen, captcha_screen
from Screens.ProxyScreen import ProxyScreen
from Screens.AccountsScreen import AccountsScreen
from Screens.TasksScreen import TasksScreen
from Screens.LogScreen import LogScreen
###... |
985,577 | 7674b271c621e97886cbbbbee8751d26753ecb03 | from imutils import paths
import face_recognition
import argparse
import pickle
import cv2
import os
print("[INFO] quantifying faces...")
imagePaths = list(paths.list_images('/media/nk/Work/smartglass_cloud/facedeeplearning/dataset'))
knownEncodings = []
knownNames = []
# loop over the image paths
for (i, imagePath) i... |
985,578 | 35150251da81aaf7d004ca8da851da7661303d8a | """
This module generates feasible parameter settings, the settings
are in a form of an ordered list
"""
from itertools import combinations, product
from ops import *
from constraints import *
from core import *
import copy
class ParameterSampler(object):
def __init__(self, df, qfn, operationList, substrThresh=... |
985,579 | 099c1f73e539e9fae485e18bf5cd0f2d1d695e15 | ## FLip files
rule get_flip_plus_to_forward:
input:
manifest = lambda wc: config["manifest"][wc.dataset]
output:
flipfile = "run_folder/flip/{dataset}_FORWARD.flip"
shell:
"""
Rscript bin/format_input/update_reference.R {input.manifest} {output.flipfile} 2
"""
rule g... |
985,580 | da2ad8c301da9e0a338676fecb72e72cf62274f6 | # -*- coding: utf-8 -*-
from Pages.PageObject import PageObject
import time
class ITProPage(PageObject):
firstHandle = ""
secondHandle = ""
def __init__(self, driver):
PageObject.__init__(self, driver)
def click_picture(self):
self.firstHandle = self.driver.wi... |
985,581 | aa2f67bcb2d532e5195adf15c6bc6fd908cf951b | from Utility.actionKeys import MakeAction
from .otpForm import Otp
import time
class Login(object):
findBy = 'xpath'
findByTag = 'tag_name'
fld_username = "//input[@name='email']"
fld_password = "//input[@name='password']"
fld_btnLogin = "//span[contains(text(), 'Log In')]"
tag_for_scroll = 'b... |
985,582 | e6356884ee97cb896102cb0c5b3751d8a0906917 | import numpy as np
from keras import backend as K
import warnings
class ReduceLROnPlateau():
def __init__(self, model, curmonitor=np.Inf, factor=0.1, patience=10, mode='min',
min_delta=1e-4, cooldown=0, min_lr=0, verbose=1,
**kwargs):
self.curmonitor = curmonitor
... |
985,583 | 4bd02844f348d3aa4439f719b628eae2026ec790 | # -*- coding: utf-8 -*-
import os,sys
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import datetime
from prms_par import prms_par
import subprocess
from subprocess import PIPE, STDOUT
class Prms_base(prms_par):
def __init__(self, gsflow_control = None):
self.exe_prms = None # To... |
985,584 | a806aec976813bd873964170a36dad845b1564e9 | #!/usr/bin/python3
# Copyright (C) 2006-2021 Istituto Italiano di Tecnologia (IIT)
# Copyright (C) 2006-2010 RobotCub Consortium
# All rights reserved.
#
# This software may be modified and distributed under the terms of the
# BSD-3-Clause license. See the accompanying LICENSE file for details.
import yarp
# create ... |
985,585 | f983c25b8b4b7e02147f56b86808bf18cb15ab7e | import bitmex_basic
|
985,586 | 79522e40b92e401f714da0ebb986547aa247a380 | # A game where users attempt to guess a random number between 0 and 20
import random
correctNumber = random.randint(0,20)
numberOfAttempts = 1 #Takes at least 1 try
print('I am thinking of a number between 1 and 20.')
while True:
print('Take a guess.')
guess = int(input())
if guess == correctNumber:
... |
985,587 | b5059341c5e542c7af8cea3243bdf869e56a2fdb | # Generated by Django 2.2.2 on 2019-08-03 04:15
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Kanji',
fields=[
('id', models.AutoField(au... |
985,588 | 5bfe08dd1f2824c2207501f47b10cdfb7a91a882 | from django.core.management.base import BaseCommand
from optparse import make_option
from workspace.exceptions import *
from microsites.exceptions import *
from workspace.middlewares.catch import ExceptionManager as WorkspaceExceptionManagerMiddleWare
from microsites.middlewares.catch import ExceptionManager as Microsi... |
985,589 | 48368f574b6d1523fac82801c905955bac884ddc | # -*- coding: utf-8 -*-
from keras.layers import Add, Dense, Concatenate, concatenate, multiply, Reshape, RepeatVector, Permute, add, Flatten, Lambda
from keras.engine.topology import Layer
from keras import backend as K
import numpy as np
import tensorflow as tf
# from attention_layer_old import AttentionWithContext
f... |
985,590 | a1010fcaba45f13ca3adae5bd87bf88e9c3e56fc | #!/usr/bin/env python3
# -*- coding: utf-8 -*-z
import time
import urllib.request
import json
import Adafruit_MCP9808.MCP9808 as MCP9808
sensor = MCP9808.MCP9808()
sensor.begin()
timestamp = lambda: int(round(time.time() * 1000))
while True:
temp = sensor.readTempC()
curTimeStamp = str(timestamp())
# REST API u... |
985,591 | 9ceea996c158b3f915661d2895e87c8339c8fb03 | #
# 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
# LAB 12-2 판다스로 울릉도의 바람 세기 분석하기, 322쪽
#
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
weather = pd.read_csv('d:/data/weather.csv', encoding='CP949')
monthly = [ None for x in range(12) ] # 달별로 구분된 12개의 데이터프레임
monthly_wind = [ 0 for x in range(12) ] # ... |
985,592 | 2b1265692173ece37e704fddbaf75faef233c0fc | class Solution:
def dayOfYear(self, date: str):
_DAYS_IN_MONTH = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
def is_leapyear(year):
return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
def days_in_month(year, month):
if month == 1 and is_leapyear(year):
... |
985,593 | 978cc1dd82be1453655bb39ce2f5b8441d44de79 | # coding=gbk
'''
Created on 2011-8-5
测试最少时间是否为最少,最短路径是否为最短
@author: Administrator
'''
import fixture
from fixture import utility
from navapp import navitool
from navapp import autotest
from navapp import xxtool
import time
import os
def dotest(*args, **kwargs):
its = True
fixture.setup(its)
... |
985,594 | 501d376eefe0c84b459f5657a1b5fe14d805f9b9 | import multiprocessing as mp
# from multiprocessing import Process as Process
from peakME_functions_2018 import *
from map_build_functions import *
from sys import argv
import os
import pandas as pd
if __name__ == '__main__':
threads = mp.cpu_count()
cmf_dir = argv[1] # close match files
mir... |
985,595 | da104f315d72e99cf23c165013d3dc9b1835facb | # %%
import dateutil.parser as dp
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
ds = pd.read_csv("../data/output/long_int_id.csv")
# %%
# only extract 3 columns that I'll use in training
ds = ds[['id', 'reviews.date', 'product_id']]
ds.info()
# %%
# convert date type to epoche time stamp
... |
985,596 | c900518cbc2580996b50c8c3528af0b08aba17fc | class Humano:
i = 0
def __init__(self):
self.edad = 23
def hablar(self,mensaje):
print("Nombre %s edad %d" % (mensaje ,self.edad))
pedro = Humano()
jaime = Humano()
jaime.hablar("Jaime") |
985,597 | f1c5280c928f110e4cdc732ab606ac4650d6f27a | #import math
import numpy as np
size = 10
x = np.arange(size+1)
print(x, x.shape)
print(x[0])
print(x[2])
print(x[size])
print(x[1:size-1])
x.shape = (2,5)
print(x)
print(x[0:2,1]) |
985,598 | aa03846b99c1491b6d449f9f58f0942bf25a6fe4 | from datetime import datetime
from django.utils.timezone import utc
from django.core.management.base import BaseCommand
from django.conf import settings
from ui.models import Location
from pysnmp.entity.rfc3413.oneliner import cmdgen
class Command(BaseCommand):
help = 'Record current SNMP state of all the VDI ... |
985,599 | 103fb469e6ef93ffcacdba09e93bb53b6f132f3d | import math
def calcula_distancia_do_projetil(v, an, y):
return (v**2/9.807)*(1+(1+(2*9.807*y)/(v**2*math.sin(an)**2))**(1/2))*math.sin(2*an)
|
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