index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
996,000 | 1279209d055bb6083db67eebe18954aab648fa90 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-01 21:13
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('outros', '0005_auto_20170801_13... |
996,001 | 6173362d4f04d3e63df4f709da495559fc2fd72b | import pickle
import six
import warnings
from functools import partial
import paddle.fluid as fluid
def load_dygraph(model_path, keep_name_table=False):
"""
To load python2 saved models in python3.
"""
try:
para_dict, opti_dict = fluid.load_dygraph(model_path, keep_name_table)
return p... |
996,002 | 678e671846b511dd34bcc5e317ada4d89786a572 | from pyrave.base import BaseRaveAPI
from pyrave.encryption import RaveEncryption
class Preauth(BaseRaveAPI):
"""
Preauthorization Class
"""
def __init__(self):
super(Preauth, self).__init__()
self.rave_enc = RaveEncryption()
def preauthorise_card(self, log_url=False, **kwargs):
... |
996,003 | 2328d7a645a6a15b7df2d0bf56fa06631ea2f455 | listone = list(input("Enter a sequence of comma separated values: ").split(","))
listtwo = list(input("Enter a sequence of comma separated values: ").split(","))
print("First List ", listone)
print("Second List ", listtwo)
thirdList = []
for num in listone:
i = int(num)
if (i % 2 != 0):
thirdLis... |
996,004 | 414115bfbf03095646f07e245c24a4976724e117 | import asyncio
import time
import requests
import socket
def ddos(addr):
TCPClient = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
TCPClient.connect(addr) #连接服务器
TCPClient.send('0x00'.encode())
#@asyncio.coroutine
def main():
tasks = []
result = []
for site in sites:
#tasks.append(... |
996,005 | 4f886187559336acf27f9cbc1a0406bd20a6721e | #! python3
# -*- encoding: utf-8 -*-
'''
Current module: tests.test_AppiumJs
Rough version history:
v1.0 Original version to use
********************************************************************
@AUTHOR: Administrator-Bruce Luo(罗科峰)
MAIL: luokefeng@163.com
RCS: tests.test_Appium... |
996,006 | b6f52454683ea74895e241cd3b7a04ceeeffbaef | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# import functions for opencv
from __future__ import print_function
from collections import deque
from imutils.video import VideoStream
import numpy as np
import cv2
import imutils
import time
from dronekit import connect, VehicleMode, LocationGlobal, LocationGlobalRelativ... |
996,007 | fbd0fef9e825f19c23fbd65dd316f8e9b903fe52 | import threading
from smbus2 import SMBusWrapper
import time
import sys
#from clean_print import Cprint
import math
import numpy as np
#from read_magneto_data import readData as read_magnet
import motor
#length = 455 cm
#width = 149 cm
#data :: R, F, L, B
# 1, 2, 4, 3
d_format = {'fwd' : 1, 'bkwd' : 3, 'left'... |
996,008 | 8774f627f22f42d01edebb95fb14ce609dd73ad9 | import os
import sys
import glob
import argparse
import pandas as pd
import numpy as np
import mdtraj as md
import prody
import variables as vrb
def open_structure_from_dataframe(csv_file, path_to_simulations, path_to_clusters=vrb.PATH_PATTER_TO_CLUSTERS_FROM_SIMS,
file_column="file... |
996,009 | 3c3f46273413abfaf293da8d715d1e99d9668b89 | def Simulate_Network_modified( Ni, Npc, v, PFcent, L, IntNoise):
from brian import *
# This function uses slightly different parameters to Simulate_Network.m, and was used for the majority of simulations
# Note: Npc must be an integer multiple of Ni
# Parameters of integrate and fire neuron
tauI = 40 * m... |
996,010 | cf6a26189ed2d8621c3a67bc4c862f7de013d4bf | # Generated by Django 3.2.4 on 2021-06-06 17:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0008_auto_20210606_2246'),
]
operations = [
migrations.AddField(
model_name='product',
name='keywords',
... |
996,011 | 7a6aea46d05ffc224cf1487ee0d61b16f9e1b3f5 | class Animation:
def __init__(self):
self.playList = []
self.loop = False
self.step = 0
def addAction(self, action):
self.playList.append(action)
def play(self):
if len(self.playList) <= self.step:
return;
action = self.playList[self.step]
... |
996,012 | 04ebe8f52cfd4c0332286daf5c10b6c75812f79b | from machine import Pin, I2C
class PCA9685:
"""
16 units PWM output
"""
min_values = [0 for i in range(16)]
max_values = [4095 for i in range(16)]
max_angles = [360 for i in range(16)]
def _writeByte(self, register, value):
self.i2c.writeto_mem(self.address, register, int(value).to_... |
996,013 | 8f1275f062088f3b6f2b113e085ec4b7899f79e3 | #EXTRACT IMPORTANT INFO FROM OSM FILE
import xml.etree.ElementTree as ET
from neo4j.v1 import GraphDatabase
print("Reading XML")
osmFile = ET.parse("wyandotte.osm")
print("Done parsing...")
root = osmFile.getroot()
# Look for all roads in osm file
print("Collecting roads...")
roads = []
for way in... |
996,014 | 83ff18ad213b36ff7b54715f8870eda045967f6f | from orator.migrations import Migration
class CreatePrestamosTable(Migration):
def up(self):
"""
Run the migrations.
"""
with self.schema.create('prestamos') as table:
table.increments('id')
table.integer('user_id').unsigned()
table.foreign('use... |
996,015 | 7d547d3496b09fd9e989e9e1155c6b8db1bc123b | import logging
import os
from utils.file_names_builder import get_model_filename
from utils.database_handler import DatabaseHandler
from utils.logger import create_loggers_helper
from configuration.configuration_constants import limit_date, excluded_values, \
validation_split_value, verbose_value, epochs_value, cu... |
996,016 | ea4571ce1bdaa585ad067c69eb97dc4087edb695 | ## @file EventCount_jobOptions.py
## @brief JobOptions: Defaults.
## @author Jack Cranshaw (Jack.Cranshaw@cern.ch)
## $Id: EventCount_jobOptions.py,v 1.6 2007-10-18 13:46:20 gemmeren Exp $
#--------------------------------------------------------------
# Event related parameters
#---------------------------------------... |
996,017 | 468f2a1b09e40336dfbb2118e7427a17e1da5ea4 | import torch
class AttentionBase(torch.nn.Module):
def __init__(self, attentionName, attentionScope, featuresNumber, cudaFlag):
self.attentionName, self.attentionScope, self.cudaFlag = attentionName, attentionScope, cudaFlag
super(AttentionBase, self).__init__()
if attentionName == 'Standa... |
996,018 | b72d9092c65950318d497000a5610307dbfb9cfc | import django_filters
CHOICES = [
["name", "По алфавиту"],
["cheaper_price", "Дешевые сверху"],
["-cheaper_price", "Дорогие сверху"],
["-sale", "Найбольшая скидка"],
["sale", "Найменьшая скидка"],
]
class ProductFilter(django_filters.FilterSet):
ordering = django_filters.OrderingFilter(choice... |
996,019 | a7415ab2d91f7d1db7bd8df433c96194ac9a0845 | import image_search
import numpy as np
import random
import Image
# btm_file_path = "/home/bkko/ml_study/fddb/FDDB-folds/rectbtm-1.txt"
# btm_file_path = "/home/bkko/ml_study/week7/ofile_12net/o_annot.txt"
btm_file_path = "/home/bkko/ml_study/week7/ofile_12net/o_annot_10.txt"
top_file_path = "/home/bkko/ml_study/w... |
996,020 | 6307e7d2e4d4a563e89744b78cd94f2f29f2f9e1 |
#calss header
class _BRAKING():
def __init__(self,):
self.name = "BRAKING"
self.definitions = brake
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['brake']
|
996,021 | ac3dce3b0e3cc07b57252f2ce92591d67459d4c4 | from django.db import models
# Create your models here.
class AdminProfile(models.Model):
phone = models.BigIntegerField()
photo = models.ImageField()
email = models.EmailField()
name = models.CharField(max_length=30) |
996,022 | d82891ff87724ded88e98f6b1321c56be2164738 | import time
import os
from astropy import wcs
import numpy as np
from astropy.io import fits
import scipy
import argparse
import sys
import jwst
from gwcs import wcstools
from jwst import datamodels
from . import auxiliary_functions as auxfunc
from astropy.visualization import (ImageNormalize, AsinhStretch)
import ma... |
996,023 | 6615dc687e28638fc2365883d4ba7d7781fff4a2 | arr = []
for i in range(0,10):
num = int(input())
arr.append(num%42)
print(len(set(arr))) |
996,024 | 0232555471dc9aaf993f180e6e4139cdca90d9fe | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 11 19:24:59 2017
@author: weilun
"""
import re
import urllib
def getHtml(url):
page=urllib.urlopen(url)
html=page.read()
return html
def getFolder(html):
r=r'href=".*/"'
re_folder=re.compile(r)
folderList=re.findall(re_folder,html)
return f... |
996,025 | 1ab9a69264b05394e7e810d01024c0fdbc2b0b2b | from rest_framework.views import APIView
from rest_framework.generics import GenericAPIView
from rest_framework.response import Response
from rest_framework import permissions
from django.contrib.auth import login, logout, authenticate
from django.http.response import HttpResponseNotAllowed, HttpResponse
from django.c... |
996,026 | 9dea10c491c35d8da2cb5d22e1e57fb5c432e145 | '''
Given an array of strings strs, group the anagrams together. You can return the answer in any order.
An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase,
typically using all the original letters exactly once.
Input: strs = ["eat","tea","tan","ate","nat","bat"]
Ou... |
996,027 | 3e8cab01c3d42f20d926bd76820867796da0d0f6 | import jinja2
import webapp2
import datetime
from utils import time_sec, valid_user, valid_password, valid_verify, valid_email, make_pw_hash, match_pw, front_articles
from handlers import FrontPage, NewPost, Flush, BlogPost, Signup, Welcome, Login, Logout, JsonBlogPost, JsonFront
from db import Blog, User
... |
996,028 | 100c3a755921adaa48d6010dc87bee001d26cc5d | from django.contrib import admin
from .models import LinkedInPost
# Register your models here.
admin.site.register(LinkedInPost)
|
996,029 | 15af0cad8f8b132569cb26a5491ea96ccdb92c46 | import math
import random
class Organism:
fitness = None
data = None
def __init__(self, data):
self.data = data
def mutate(self, mutate_func):
self.data = mutate_func(self.data)
def reproduce(self, reproduce_func, other):
return Organism(reproduce_func(self.data, other.data)... |
996,030 | e0e9247461d3b1c39b0d35cc9963fa9a7fd50c10 | import math
def countValleys(A=[]):
if len(A) < 2:
return 0,0
tree = A.copy()
tree.insert(0, math.inf)
tree.append(math.inf)
oddValleys = 0
evenValleys = 0
even = True
for i in range(1, len(tree) - 1):
if tree[i - 1] > tree[i] and tree[i] < tree[i + 1]:
i... |
996,031 | 8f163fea901e825132012623ad2a3eb94d97dba5 | #!/usr/bin/python3
import unittest
from models.engine.file_storage import FileStorage
class TestFileStorage(unittest.TestCase):
""" test engine: file storage """
def setUp(self):
""" standard setUp() """
self.file_storage = FileStorage()
def test_public_attr(self):
""" test if att... |
996,032 | 9ccb1180b7fb933894cc2bc98cf148862d78cd14 | from collections import defaultdict
count = defaultdict(int)
print(count[8])
|
996,033 | 02ffaf51c723b71cb377cf272342c44e7a2165fb | # -*- coding: UTF-8 -*-
from playwright import sync_playwright
def run(playwright):
browser = playwright.chromium.launch(headless=False)
context = browser.newContext()
# Open new page
page = context.newPage()
# Go to https://mail.qq.com/
page.goto("https://mail.qq.com/")
# Click input[n... |
996,034 | 9e0901e6379bf3268a8dab55955b793051de0491 | import numpy as np
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
class Actor(Model):
def __init__(self, num_observations: int, num_actions: in... |
996,035 | 86b3517b277730e0d53dcd0eebc6bf56625b50de |
class GameController:
"""Maintains the state of the game."""
def __init__(self, WIDTH, HEIGHT):
self.WIDTH = WIDTH
self.HEIGHT = HEIGHT
self.player_wins = False
self.pinky_wins = False
def update(self):
"""Carries out necessary actions if pinky or player wins"""
... |
996,036 | f5d58f11240e193918f4d8ba6398230ef077e765 | a = [int(s) for s in input().split()]
b = []
if len(a) % 2 == 0:
for i in range (0, len(a), 2):
b += a[i+1], a[i]
else:
for i in range (0, len(a)-1, 2):
b += a[i+1], a[i]
b.append(a[-1])
print(' '.join([str(i) for i in b]))
|
996,037 | 4390274faa3d2fc15541ec060e2210ec6a60afcd | #!/usr/bin/env python
"""
Extract Wikipedia article-term count matrix from KOPI plain text dump.
"""
import logging
from reader import KopiReader
from sklearn.feature_extraction.text import CountVectorizer
from writer import Writer
MAX_DF = 1.0
logging.basicConfig(format='%(asctime)s %(message)s')
log = logging.getLo... |
996,038 | d1312a4a5525f0fd7dcc9c6bcce257c043034a60 |
"""
Implementation of a Connect-4 Board class
Author: RR
"""
class Board:
"""A type for representing the state and behavior of a Connect-4 board
Attributes:
width - an integer denoting the number of columns in the board
height - an integer denoting the number of rows in the board
dat... |
996,039 | b0b83f29854b231d0170288538cf64b1d42ba6d3 | import os
from os.path import basename
from gc3libs import Application
from gc3libs.quantity import GB
class GrayscaleApp(Application):
"""Convert an image file to grayscale."""
def __init__(self, img):
inp = basename(img)
out = "gray-" + inp
Application.__init__(
self,
... |
996,040 | a1475fb980a5ac85345c2ec26a1ccaf1e2c549b2 | #!/usr/bin/env python
from herepy import (
MapTileApi,
MapTileApiType,
BaseMapTileResourceType,
TrafficMapTileResourceType,
)
map_tile_api = MapTileApi(api_key="api_key")
# Returns a map tile
map_tile = map_tile_api.get_maptile(latitude=52.525439, longitude=13.38727, zoom=12)
print(map_tile)
# Retur... |
996,041 | be4f47fdea628a8b32eb4986b694549773ed61d6 | import os
import sys
# The config system depends on the `ply` parser generator. On Android, this may
# come as a prebuilt, but may _not_ automatically be added to PYTHONPATH. If
# we're on Android (tested by checking for `envsetup.mk`), then add the `ply`
# prebuilt to `sys.path`:
if os.path.isfile("build/make/core/en... |
996,042 | c40978b9c318b2dbbbf52e2b93a96c4afce04d08 | import pygame
import random
import math
pygame.init()
click ="right"
X=800
Y=600
#print("helo")
screen = pygame.display.set_mode((X,Y))
pygame.display.set_caption("Skier")
img= pygame.image.load("ski.png")
pygame.display.set_icon(img)
#---------------------player------------------->
playerimg=p... |
996,043 | dacc1709f85a62521d42aba4fba09c0c72f83961 | import sys
import nltk
from nltk import word_tokenize,sent_tokenize
import re
import keras
from keras.layers.embeddings import Embedding
from keras.layers import Dense, Dropout, RepeatVector,Merge
from keras.layers import LSTM
from keras.layers import recurrent
from keras.models import Sequential
from keras.preprocessi... |
996,044 | fadfce915292be575cecf3c4f2fafe1fdce15327 | def solve_for_coefficients_natural(n, r):
if n == 2:
return natural_interpolate_2(r)
elif n == 3:
return natural_interpolate_3(r)
elif n == 4:
return natural_interpolate_4(r)
elif n == 5:
return natural_interpolate_5(r)
elif n == 6:
return natural_interpolate_6(r)
elif n == 7:
return natural_inte... |
996,045 | 26238d8310c5deb17528ea600b5bd18b40c8f108 | #! "C:\Program Files (x86)\Python37-32\python.exe"
import openpyxl
from openpyxl import load_workbook
file = "MOCK_DATA.xlsx"
#load the work book
wb_obj = load_workbook(filename = file)
wsheet = wb_obj['MOCK_DATA']
#store data in a dictionary for convenience
dataDict = {}
for key, *values in wsheet.iter_rows(min... |
996,046 | c10fdc2b4961f45864d70246a988fee6c4ca0b19 | # smtplib 发送邮件流程
# 连接到smtp服务器
import smtplib
smtp = smtplib.SMTP('smtp.qq.com', 25)
# 发送SMTP的'hello'信息
# smtp.ehlo()
# Out[24]:
# (250,
# b'smtp.qq.com\nPIPELINING\nSIZE 73400320\nSTARTTLS\nAUTH LOGIN PLAIN\nAUTH=LOGIN\nMAILCOMPRESS\n8BITMIME')
# 将当前会话加密
smtp.starttls()
# Out[25]: (220, b'Ready to start TLS')
# 登陆到... |
996,047 | a10e4a6fa4d3e74083ef00595536b0cb4b473146 | import pandas as pd
import pygal
from pygal.style import DarkStyle
def spirit():
"""start age"""
data = pd.read_csv("never_female.csv")
line_graph = pygal.Pie(fill=True, interpolate='cubic', style=DarkStyle)
line_graph.x_labels = data.AGE
line_graph.y_labels = map(int, range(0, 400001, 20000))
... |
996,048 | 772486d949a13627a8c8540e1531a99ad901843b | continua = True
while continua:
try:
x = int(input('Primeiro valor:'))
y = int(input('Segundo valor:'))
if y == 0:
raise ZeroDivisionError
except ValueError:
print('O valor informado deve ser númerico')
except ZeroDivisionError:
print('Impossivel dividir p... |
996,049 | ab88cb9d42934ab40b600826fd5229359920f6c5 | i=0
while i<=100:
print("中秋节快乐",end='')
i+=1
print("热烈庆祝中华人民共和国成立70周年!")
|
996,050 | d978e77ffb92321720ef54bc9c3d0aba0a8ce0d9 | from django.conf.urls import url
from . import views
urlpatterns = [
url('^$' ,views.index),
url(r'^mycrude/$', views.mycrude_list),
url(r'^mycrude/(?P<id>[0-9]+)$', views.mycrude_detail),
]
|
996,051 | 7742430c8f376f5850ca3cb44b06c4ad0b58fb37 | from prodtest import ProduceTestCase
class PretendUpToDatePatternTest(ProduceTestCase):
def test_pretend_up_to_date(self):
# a1
# |
# b1
# / \
# c1 d1
normal = lambda: self.produce('a1')
pretending = lambda: self.produce('a1', **{'-u': 'b%{i}'}... |
996,052 | 4c61e35b4054669c3219f78abfa548fbbe985258 | import unittest
from contextlib import contextmanager
class MiCustomManager:
def __init__(self, estado):
self.estado = estado
def __enter__(self):
print("Entrando en el contexto")
return self.estado
def __exit__(self, exc_type, exc_val, exc_tb):
print("Salien... |
996,053 | 9fe7729a70e77b4c2980c5d2079e8d2894db0750 | import cv2
import numpy as np
import RPi.GPIO as GPIO
LimiarBinarizacao = 125 #este valor eh empirico. Ajuste-o conforme sua necessidade
AreaContornoLimiteMin = 5000 #este valor eh empirico. Ajuste-o conforme sua necessidade
#GPIOs utilizados:
GPIOMotor1 = 18 #Broadcom pi2067n 18 (P1 pin 12)
GPIOMotor2 = 1... |
996,054 | 46fc04f94749f2dd6759fd7457cba23777f51564 | largura = int(input("digite a largura: "))
altura = int(input("digite a altura: "))
if altura == largura:
cont = largura
while altura > 0:
while cont > 0:
cont = cont - 1
print("#", end= "")
cont = largura
print()
altura = altura - 1
else:
cont = larg... |
996,055 | 92d7a4b90a1c838f70f50d1e121382ef2442cef7 | import unittest
class TestDatLoad(unittest.TestCase):
"""
Data Load lambda tests
"""
def test_data_load(self):
print ('to be implemented')
if __name__ == '__main__':
unittest.main()
|
996,056 | 9d0216e47cd6636915004c12ac12be3adcc3f9e6 | def fun(a):
if len(a)==1:
return 0
dp = [0]*len(a)
dp[0]=a[0]
dp[1]=dp[0]+abs(a[0]-a[1])
for i in range(2,len(a)):
dp[i]=min(dp[i-1]+abs(a[i]-a[i-1]) ,dp[i-2]+abs(a[i]-a[i-2]))
return dp[-1]-a[0]
n = int(input())
a = list(map(int , input().split()))
print(fun(a)) |
996,057 | 4413b3b897d95c91235537e5c415538622476634 | # from optionModelsDEF.blackScholesModel import *
# from optionModelsDEF.commonFuncs import *
from optionModelsDEF.commonFuncs import fillDerivativesArray as f
|
996,058 | 4fafab702d70738229f307b96f3453d7577b5076 | # -*- coding: utf-8 -*-
import sys
import Xerces, XQilla
def main():
# Get the XQilla DOMImplementation object
xqillaImplementation = Xerces.DOMImplementationRegistry.getDOMImplementation('XPath2 3.0')
# Create a DOMDocument
document = xqillaImplementation.createDocument()
# Parse an XPath 2 expression
express... |
996,059 | 1ca587eb7d4b26449dca116350ef3416bbffb432 | # The Best Dictionary in The World
# created in Sleepy Hollow NY on October 28, 2015
# by Aneta Zolkiewicz for Edward Eames
print "You are the best in the world!\n"
world_best_dic = {'you are': "jestes", 'the best': "najlepsza", 'in': "na", 'the world': "swiecie"}
print world_best_dic['you are'], world_best_dic['... |
996,060 | c71156e02198a12a2025d4aae59bd858626e9e65 | import pdfquery
import scraperwiki
from bs4 import BeautifulSoup
import StringIO
#from pdfquery.cache import FileCache
import re
base_url = "http://dpc.sa.gov.au"
html = scraperwiki.scrape("http://www.dpc.sa.gov.au/lobbyist-who-register")
soup = BeautifulSoup(html, "html5lib")
lobbys = []
for tr in soup.tbody:
lob... |
996,061 | ea4147923a64b3b613feb41556d619db8f2f3b47 | # Extract names around each word regex
>>> import re
>>> re.findall(r"([a-zA-Z]+) loves ([a-zA-Z]+)", "Mary loves Mike,Jack loves Lily,Ethan loves Lydia")
[('Mary', 'Mike'), ('Jack', 'Lily'), ('Ethan', 'Lydia')]
|
996,062 | 26b6c7cdd3887e471cfe7b72ae6b0a2cd957e6f9 | from room import Room
from items import Item
# Declare all the rooms
room = {
'outside': Room("Outside Cave Entrance",
"""North of you, the cave mount beckons"""),
'foyer': Room("Foyer",
"""Dim light filters in from the south. Dusty passages run north and east."""... |
996,063 | 6ba5cf5974e59ea5a78a107d14bd98f920e040dc | import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
POBLACION_TOTAL = 1.
INFECTADOS_INICIAL, RECUPERADOS_INICIAL = 0.03, 0
SUSCEPTIBLES_INICIAL = POBLACION_TOTAL - INFECTADOS_INICIAL - RECUPERADOS_INICIAL
ALFA, BETA = 0.27, 0.043
TIEMPO_DIAS = np.linspace(0, 150, 150)
def modelo_sir(... |
996,064 | 81104078d33d89699254099d30d53e4b6910f0ae | import csv
import json
import colorama
from termcolor import cprint
import sys
sys.path.append('../../Code/Algorithms')
sys.path.append('../../Data')
sys.path.append('../../Results')
from read_data import read_data
from smart_grid import SmartGrid, SmartHouse, SmartBattery
def main():
""" fixed, you can now use ... |
996,065 | c3f379a20bd340d9d9827fc87a61f59638543f37 | # 당신은 최근에 코딩 스터지 모임을 새로 만들었습니다.
|
996,066 | 1121eb433f425a5bfde1d68e433a3af98554119c | num = int(input("Number Nakh"))
if (num % 2) == 0:
print("Beki Chhe")
else:
print("Eki Chhe")
if (num % 4) == 0:
print("4 na pada ma aave chhe")
else:
print("4 na pada ma nathi aavto")
num1 = int(input("pelo Number Nakh"))
num2 = int(input("bijo Number Nakh"))
devide = num1 / 2
if devide == num2:
... |
996,067 | 9ec1d0c0da5cc232ff4c44caa7f23dac4ed7c7fd |
import re
pattern =re.compile(r'\d+') #用于匹配至少一个数字
m=pattern.match('one12twothree34four') #查找头部，没有匹配
print(m,'\n')
m=pattern.match('one12twothree34four',2,10) #从脚标为2的‘e’开始匹配，并没有匹配
print(m)
m=pattern.match('one12twothree34four',3,10) #从脚标为3的‘1’开始匹配，正好匹配
print(m) # <re.Match object; span=(3, 5), match='12'>
pr... |
996,068 | 3b2f1798f70c319c3474b87726e9f46a9f0230fa | import ast
import pytest
import re
import shutil
import tarfile
from poetry.io import NullIO
from poetry.masonry.builders.sdist import SdistBuilder
from poetry.packages import Package
from poetry.poetry import Poetry
from poetry.utils._compat import Path
from poetry.utils._compat import to_str
from poetry.utils.venv i... |
996,069 | 64d6c2c9b9bc3bb659579fa496a8d44eb13a2169 | import random
def generate(count):
"""This module will generate values for requests and write them into a file
Alternatively we can read from db or from file here.
If we care about the memory, we can replace this with generator.
:param count: how many values to generate
:return: lst - list of valu... |
996,070 | 4506d703398d64a8bc7347b3905c682f564bcecb | #!/usr/bin/env python
#-*- coding:utf-8 -*-
"""
@author:BanShaoHuan
@file: Python自动生成表情包.py
@time: 2018/05/11
@contact: banshaohuan@163.com
@site:
@software: PyCharm
# code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
┏┓ ┏┓
┏┛┻━━... |
996,071 | 98129813f36a577c04068a1b3002ce27668454ec | from sklearn.decomposition import PCA
from keras.utils import normalize as norm_keras
from sklearn.preprocessing import normalize as norm_skl
from numpy import asarray, concatenate, transpose, column_stack, array, isnan, amin, amax, vstack, ndarray
from random import sample
from numpy.random import shuffle
from itertoo... |
996,072 | cbcfffe4ba4deb756f691ede1405be9d451af490 | from src.environment import Environment
from src.action import Action
from src.q_learning.q_agent import QAgent
from src.q_learning.q_episode import QEpisode
from src.performace import Performance
from src.state import State
from src.q_learning.q_function import QFunction
import pickle
class QLearning:
def __init... |
996,073 | 40d2e354701cb65b18c78beab16be13bd7ab2cbd | # Bomb Rewards Policies
BOMB_NO_REWARD = 0
BOMB_REWARD_PER_STONE_DESTROYED = 1
BOMB_REWARD_PER_STONE_DESTROYED_PROPORTIONAL_TO_EXIT = 2
# Navigation Rewards Policies
NAVIGATION_NO_REWARD = 0
NAVIGATION_REWARD_PROPORTIONAL_TO_EXIT = 1
# Agents
QLEARNING = 0
RMAX = 1
FACTOREDRMAX = 2
SARSA = 4
SARSALAMBDA = 5
DYNA = 6
... |
996,074 | 3373f324d629d4eecd01c706388d13f938a12175 | import os
import glob
import shutil
import json
from pprint import pprint
import numpy as np
def evaluate_check_point_json(checkpoint_json_file):
with open(checkpoint_json_file) as data_file:
data = json.load(data_file)
loss_history = data['val_loss_history']
checkpoint_pointer = data['val_loss_h... |
996,075 | e7390d6311f6e4d56de52698ba6b389df681675c | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
from torch.autograd import Variable
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
resnet = models.resnet50(pretrained=True)
for param in ... |
996,076 | 7087817c88b5df17cb3f50abd57174561c3dfbb4 | import random
from wordlist import *
POINTS = {"A": 1, "C": 3, "B": 3, "E": 1, "D": 2, "G": 2,
"F": 4, "I": 1, "H": 4, "K": 5, "J": 8, "M": 3,
"L": 1, "O": 1, "N": 1, "Q": 10, "P": 3, "S": 1,
"R": 1, "U": 1, "T": 1, "W": 4, "V": 4, "Y": 4,
"X": 8, "Z": 10}
FREQ_DICT = {'A': 9, 'B':... |
996,077 | 954d65e0c0df8353fcdee7b3437622fe32283553 | import discord
from discord.ext import commands
import hashlib
from hashlib import sha256
import json
import os
## Define your TOKEN environment variable for the bot to work!
token = os.environ.get("TOKEN")
## Define your OWNER environment variable for the bot to work and to recognize the bot owner!
owner = ... |
996,078 | 46b0fc4cec8922211a82f58e0ca7072af94f14d3 | from touchworks.api.http import TouchWorks, TouchWorksException
import json
import unittest
import uuid
from touchworks.logger import Logger
import pprint
from nose.tools import raises
import random
logger = Logger.get_logger(__name__)
class TestAPIs(unittest.TestCase):
@classmethod
def setUpClass(cls):
... |
996,079 | 6416530f9c66ac5526ef0e9060fbe8fa6978de53 | from django import template
from django.urls import reverse
register = template.Library()
navbar_options = [
("Home", reverse("Home")),
("Testing Strips", reverse("Testing Strips")),
("Scheduled Tests", reverse("Scheduled Tests")),
("Test Results", reverse("Graph Results")),
]
option_format = '<li cl... |
996,080 | 9e49d3537cae7b0d727fdda29b854a50a19bf864 | import sys, os
here = os.path.dirname(os.path.realpath(__file__))
vendored_dir = os.path.join(here, 'vendored')
sys.path.append(vendored_dir)
import boto3
import json
import datetime
# Create CloudWatch client
cloudwatch = boto3.client('cloudwatch')
ddb = boto3.client('dynamodb')
aas = boto3.client('application-autosc... |
996,081 | e60f92ce944ffa521f0feeba98e12e8f8a7dba71 | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 6 12:13:12 2020
@author: thecr
"""
import pandas
import numpy
import csv
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.pyplot as plt
from sklearn import linear_model
import statsmodels.api as sm
#Read our data from c... |
996,082 | c7a54bbbd5fbaef91c3e479d17b6aad8647d7418 | from app import models
class Queries():
def get_n_comans(self, post):
if type(post) is models.Post:
#returns number of comments on post.
n_answers = models.Post_Comments.query.filter_by(post_id = post.id).count()
return n_answers
elif type(post) is models.Answers:
#returns number of comments on answer... |
996,083 | 12f17e57ce1a7c35ac8f6f949baacd133afcfaa4 | from django.db import models
from web3 import Web3
class ETHAddressField(models.CharField):
def __init__(self, *args, **kwargs):
kwargs['max_length'] = 42
super().__init__(*args, **kwargs)
def pre_save(self, model_instance, add):
value = getattr(model_instance, self.attname, None)
... |
996,084 | dcffd6c15695a265fbb6e40c772ee3171192aa7a | # -*- coding: utf-8 -*-
# -*- author: Jiangtao -*-
"""setup file"""
from setuptools import setup, find_packages
from os import path as os_path
from codecs import open
this_directory = os_path.abspath(os_path.dirname(__file__))
# 读取文件内容
def read_file(filename):
with open(os_path.join(this_directory, filename),... |
996,085 | 8eb98ef6cd83ee9dc6cb66168b1c9ebdf6252c86 | import yaml
import pandas as pd
import re
from argparse import ArgumentParser
def parsed_args():
"""
Parse and returns command-line args
Returns:
argparse.Namespace: the parsed arguments
"""
parser = ArgumentParser()
parser.add_argument(
"--input_csv",
default="bios.csv... |
996,086 | a10562113001e8244e2775ee6a9c8945ebea8f9a | """
给定一个整数类型的数组 nums，请编写一个能够返回数组 “中心索引” 的方法。
我们是这样定义数组 中心索引 的：数组中心索引的左侧所有元素相加的和等于右侧所有元素相加的和。
如果数组不存在中心索引，那么我们应该返回 -1。如果数组有多个中心索引，那么我们应该返回最靠近左边的那一个。
示例 1：
输入：
nums = [1, 7, 3, 6, 5, 6]
输出：3
解释：
索引 3 (nums[3] = 6) 的左侧数之和 (1 + 7 + 3 = 11)，与右侧数之和 (5 + 6 = 11) 相等。
同时, 3 也是第一个符合要求的中心索引。
示例 2：
输入：
nums = [1, 2, 3]
输出：... |
996,087 | 3a0294086761647d9b3ed32e1920646ee3d8e9f1 | #题目：有四个数字：1、2、3、4，能组成多少个互不相同且无重复数字的三位数？各是多少？
number = 0
for i in range(1,5,1):
for j in range(1,5,1):
for k in range(1,5,1):
if (i != j) & (j != k) & (i != k):
number = number + 1
print(i,j,k)
print('一共有%d个互不相同且无重复数字的三位数'%number) |
996,088 | f86a5462d028936695cc18b7add4b21a5382d8d2 | star = int(input('ENter the nu of start do you want to print? \n'))
for i in range(star):
print(f"{'*'*(i+1)}")
|
996,089 | 130ffb6051383d778f9adc5b470bffaa7093a6e9 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 4 12:33:10 2018
@author: danamulligan
"""
def ratio(dna):
counter = 0
total = len(dna)
for k in dna:
if k == 'g' or k == 'c':
counter += 1
return counter/total |
996,090 | a619db60c2d8e906fbfeafa9297b503822ad2b7b | import flask
from flask import request, render_template, redirect, url_for
from network_graph.models.graph import Graph
blueprint = flask.Blueprint('main', __name__)
@blueprint.route('/')
def index():
from networkx.readwrite import json_graph
g = Graph()
return render_template(
'main/index.html',... |
996,091 | 0f6c3c01da9804090ad24f44013b9f5589d89438 | '''
Exercise 1
Start the Python interpreter and use it as a calculator.
1. How many seconds are there in 21 minutes and 15 seconds?
2. How many miles are there in 5 kilometers?
3. If you run a 5 kilometer race in 21 minutes and 15 seconds, what is your average pace (time per mile in minutes and seconds)?
4. What i... |
996,092 | 4f6dc851465c27678d88b677e2324e1700b76c24 | # Generated by Django 2.1.1 on 2018-09-27 10:06
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Database'... |
996,093 | ba24a8d68bf8b7e0b9800efa9c2f4dbed157507e | topics = ["Alaska is the best State because", "The world will end with a Bang and a ", "Cryptocurrencies are a sham", "The Singularity is nigh", "John's Hackathon submission was awarded ", "This years Super Bowl winner will be: ", "Deep Learning has lead to countless jobs being replaced", "The best job in the computer ... |
996,094 | 3159b09f9d33e30b01209e878d553f8f045e4744 | p=[]
expresão=input('Digite a expressão:\n')
correto=False
for i in expresão:
if i=='(':
p.append(i)
elif i==')':
p.append(i)
print(p)
while p!=[]:
if(p[0]=='(' and p[len(p)-1]==')'):
correto=True
del(p[0])
del(p[len(p)-1])
else:
correto = False
... |
996,095 | a7969b2e8a000f523879f3821c3d04ac030960bf | #import numpy as np
#from numpy import *
from numpy import array
x=array([1,2,5,6,3,74],int)
print(x) |
996,096 | 239cc8ce7ca3da8c9523d42d268e1a536fbeffd3 | from django.db import models
"""
MVT 中的 M
"""
# Create your models here.
class BookInfo(models.Model):
title=models.CharField(max_length=20)
pub_date=models.DateTimeField()
class HeroInfo(models.Model):
name=models.CharField(max_length=20)
gender=models.BooleanField(default=True)
content=models.Cha... |
996,097 | 80d9462ccae142e3882ec68ddbf3b796dbaab825 | from math import sqrt
from numpy import concatenate
from pandas import DataFrame
from pandas import concat
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
# Import sklearn.preprocessing.StandardScaler
from sklearn.preprocessing import MinMaxScaler
def series_to_supervised... |
996,098 | 7d54c78dff467eb24613338ec7a0af128040cbfd | """
pyexcel_xlsbr
~~~~~~~~~~~~~~~~~~~
The lower level xlsb file format handler
:copyright: (c) 2019-2020 by Onni Software Ltd & its contributors
:license: New BSD License
"""
# flake8: noqa
from pyexcel_io.io import get_data as read_data
from pyexcel_io.io import isstream
from pyexcel_io.plugins imp... |
996,099 | 20c3f0794ca0131eb04bb44be3fa17822c16785b | import pandas as pd
import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# input parameters
Sigma = np.array([[1, -0.8], [-0.8, 2]]) # Covariance matrix of the Bivariate Normal distribution
c = np.sqrt(Sigma[1, 1] - Sigma[1, 0] * 1/(Sigma[0, 0]) * Sigm... |
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