text stringlengths 38 1.54M |
|---|
from pyspark import SparkConf
from pyspark.sql import SparkSession, Window
from pyspark.sql.types import ArrayType, StructField, StructType, StringType, IntegerType, DecimalType, FloatType
from pyspark.sql.functions import udf, collect_list, struct, explode, pandas_udf, PandasUDFType, col
from decimal import Decimal
im... |
class Human:
def __init__(self, id, speed, origin):
self.id = id
self.speed = speed
self.origin = origin
self.isCompute = 1
self.finish = 0
self.start = origin
self.end = origin
self.arrive = 0
self.time = 0
self.length = 0
self... |
def solution(new_id):
#STEP 1 전부 소문자로 바꾸기
new_id = new_id.lower()
#2단계 알파벳 소문자, 숫자, 빼기(-), 밑줄(_), 마침표(.)를 제외한 모든 문자를 제거합니다.
import re
new_id = re.sub(r'[^a-z0-9-._]','',new_id)
#3단계 new_id에서 마침표(.)가 2번 이상 연속된 부분을 하나의 마침표(.)로 치환합니다.
while '..' in new_id:
new_id = new_id.replace('..'... |
import random,time,mcpi.minecraft as minecraft #imports necessary modules and renames one as minecraft for easy of use
mc=minecraft.Minecraft.create() # Creates game and connects to it.
time.sleep(3) #Waits for 3 seconds.
gravel=13 #Saves minecraft's gravel block ID as 'gravel' for easy of use.
while True: #Loo... |
"""
What are you doing here? GET OUT OF HERE. >:P
"""
import random # imports random library
for _ in range(10): #repeats 10 times
print(random.randint(0, 200) # prints a random int between 0 and 200
print("done") # prints "done" once the for loop is done
|
import numpy as np
import matplotlib.pyplot as plt
import sys
def liner_regression_gradient_descent(x, y, alpha=0.0005, initial_theta=None, iter_num=1000, stream=sys.stdout):
if x.ndim is 1:
x = x.reshape(1, -1).transpose()
assert len(x) is len(y)
data_num = len(x)
new_x = np.hstack((np.ones(d... |
fruits = {'apple': 'manzana', 'orange': 'naranja', 'grape': 'uva'}
for fruit in fruits:
print(fruit + ' is ' + fruits[fruit] + ' in Spanish') |
import tensorflow as tf
import numpy as np
from tokenizers import Tokenizer
import random
from train import config, model_str
INPUT_LEN = config["input_len"]
DIM = config["dim"]
DIM = config["dim"]
OUTPUT_LEN = 40
model_filename = model_str(config)
model = tf.keras.models.load_model('./saved_models/' + model_filename... |
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("-c", "--company", help="Help text")
parser.add_argument("-i", "--hirer", default="whom it may concern", help="Help text")
parser.add_argument("-p", action="store_true")
a = parser.parse_args()
if a.p:
filePath = "./templates/gener... |
from flask import Flask, redirect, url_for, render_template, flash
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, UserMixin, login_user, logout_user,\
current_user
from oauth import OAuthSignIn |
# Generated by Django 3.0.8 on 2021-05-14 17:42
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('covid19', '0003_auto_20210511_2302'),
]
operations = [
migrations.DeleteModel(
name='Covid_image',
),
]
|
import csv
import json
import unittest
from io import BytesIO, StringIO
from unittest import mock
import requests
from bonobo.util.testing import BufferingNodeExecutionContext
from django.contrib.gis.geos import GEOSGeometry
from django.test import override_settings
from geostore.models import Feature, Layer
from ter... |
import sys
import socket
import cv2
import imagezmq
camSet = "nvarguscamerasrc sensor-id=0 ! video/x-raw(memory:NVMM), width=1640, height=1232, framerate=30/1, format=NV12 ! nvvidconv flip-method=0 ! video/x-raw, width=640, height=480, format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink"
cap = cv2.VideoCap... |
import unittest
from typing import List, Tuple
import pathlib
from dffml.base import (
BaseDataFlowFacilitatorObject,
config,
field,
list_action,
BaseDataFlowFacilitatorObjectContext,
)
from dffml.feature.feature import Feature, Features
from dffml.source.source import BaseSource
from dffml.source.... |
qtdg=float(input("quantidade de acai em gramas:"))
qtds=int(input("quantidade de salgados:"))
valor=float(input("valor pago:"))
qtdg1= 24
sal= 3
x= qtdg/1000
tot= sal * qtds + x * qtdg1
print(round(tot, 2))
if valor>tot:
print("Sim")
else:
print("Nao") |
#guess the number game
import random #random module
import time #time module
print("Hello! What is your name?")
name = input()
print("Hello there, " + name + "! " + "I am thinking of a number")
print("berween 1 and 22. Think you can guess it!?")
time.sleep(1) #wait one second before moving onto the for loop (inside w... |
import os
from .quantlabapp import QuantLabApp
try:
from jupyterhub.singleuser import SingleUserNotebookApp
except ImportError:
SingleUserQuantLabApp = None
raise ImportError('You must have jupyterhub installed for this to work.')
else:
class SingleUserQuantLabApp(SingleUserNotebookApp, QuantLabApp):
... |
import sys
# Abrindo arquivo kdmer
def abrirArquivo():
try:
caminho = sys.argv[1]
except:
print("Passe o arquivo como arguemento na chamada do programa!" )
exit()
try:
f = open(caminho, 'r')
except:
print("Arquivo não encontrado!!")
exit()
k, d= cam... |
# %%
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LinearRegression, Ridge, Lasso
from sklearn.datasets import load_boston
from sklearn.metrics import mean_absolute_error
from sklearn.model_selection import train_test_split
# %%
boston = l... |
import cv2
import sys
import boardcv
import vidio
import game_tree as gt
BOARD_SIZE = 19
def main():
video_source = sys.argv[1]
video_cap = vidio.get_video_cap(video_source)
num_frames = 0 # frame counter
frame_debug = None
tracker = boardcv.BoardTracker()
game_tree = gt.GameTree(BOARD_SIZ... |
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn import metrics
import joblib
df = pd.read_csv ('transaction_dataset.csv')
df = df[['Avg min between sent tnx', 'Avg min between received tnx', 'avg val received', 'avg val sent... |
# 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 agreed to in writing, software
# distributed under t... |
from jira import JIRA
from MongoCRUD import MongoCRUD
from FastTraveler import FastTraveler
from dotenv import load_dotenv
import os, urllib3
try:
load_dotenv() # setup use for getting environment variables
# ignore warning from invalid certificate, allan needs to fix
urllib3.disable_warnings(urllib3.exc... |
# You need to install pyaudio to run this example
# pip install pyaudio
# In this example, the websocket connection is opened with a text
# passed in the request. When the service responds with the synthesized
# audio, the pyaudio would play it in a blocking mode
from __future__ import print_function
from ibm_watson ... |
# cite: https://classes.engineering.wustl.edu/ese205/core/index.php?title=Serial_Communication_between_Raspberry_Pi_%26_Arduino
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import serial
ser = serial.Serial('/dev/ttyUSB0', 9600)
while 1:
if(ser.in_waiting >100):
line = ser.readline()
print(li... |
# Library imports
import webapp2
import jinja2
import os
import time
import datetime
import calendar
import unittest
from google.appengine.ext import ndb
from google.appengine.ext import testbed
# Project imports
from user import *
from util import *
class InstructorCenter(webapp2.RequestHandler):
... |
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
# This is the target that all Cobalt modules should depend on if they
# wish to use Skia. It augments skia_library (S... |
from Tkinter import *
from ttk import *
from Tkinter import Tk, Text, BOTH, W, N, E, S
from PIL import Image, ImageTk
class UI:
"""docstring for UI"""
def __init__(self, original_image_path, processed_image_path, verified_plate_image_path, ip):
self.ip = ip
self.root = Tk()
self.fram... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/5/22 17:51
# @Author : leyton
# @Site :
# @File : zhihu__login_requests.py
# @Software: PyCharm
import requests
try:
import cookielib
except:
import http.cookiejar as cookielib
import re
agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64... |
###########################################
# Let's Have Some Fun
# File Name: 659.py
# Author: Weilin Liu
# Mail: liuweilin17@qq.com
# Created Time: Sun Dec 1 11:23:51 2019
###########################################
#coding=utf-8
#!/usr/bin/python
class Solution:
def isPossible(self, nums: List[int]) -> bool:
... |
from random_word import RandomWords
import random
from sklearn.model_selection import train_test_split
import nltk
r = RandomWords()
def generate_dataset():
output = []
for x in range(10):
label = random.randint(0, 1)
text = r.get_random_words(
minLength=3, maxLength=15, limit=rand... |
from rest_framework import serializers
import pytz
class DriverSerializer(serializers.Serializer):
"""
Структура, содержащая данные по водителю.
"""
id = serializers.IntegerField(label="id",
help_text="Идентификатор водителя")
fname = serializers.CharField(label... |
from optparse import OptionParser
flags_parser = OptionParser()
flags_parser.add_option('-f', '--snakefile', dest='filename', metavar='FILE',
help="Use FILE as the Snakefile")
flags_parser.add_option('-t', '--trace', dest='trace', action='store_true',
help="Turn on verbo... |
#!/bin/python
import picamera
import argparse
from datetime import datetime, date
import socket
import time
import os
def get_default_filename():
now = datetime.now()
date_str = now.strftime("%Y%m%d")
time_str = now.strftime("%H%M%S")
return "_".join(["Atmos", date_str, time_str])
def get_default_vid... |
listagem = ("lápis", 1.10, 'borracha', 0.50, 'caderno', 15, 'mochila', 150, 'caneta', 1)
print("-="* 15)
print('{}'.format("LOJÃO DO PABLO"))
print("-="* 15)
for pos in range(0, len(listagem)):
if pos % 2 == 0:
print(f"{listagem[pos]:.<30}", end="")
else:
print(f'R${listagem[pos]:< 7.2f}')
#prin... |
# -*- coding: utf-8 -*-
"""Tests related to drawing new points from the pool."""
import numpy as np
import pytest
from unittest.mock import MagicMock
from nessai.proposal import FlowProposal
def test_draw_populated(proposal):
"""Test the draw method if the proposal is already populated"""
proposal.populated ... |
#! /usr/bin/python2.7
#----------------------------------------------------------------------------------------
# Name:
# pltWaterIsot.py
#
# Purpose:
# Plot time series of multiple species retrieved with FTIR columns/VMRs
# Note: See below for inputs
#
# Notes:
#
#
# Version History:
# ... |
import os
import sys
import json
import shutil
import ase.io
import logging
import argparse
import numpy as np
import logging
from pprint import pprint
from cStringIO import StringIO
from ase.optimize.sciopt import SciPyFminCG
from ase.optimize import BFGS, FIRE, LBFGS, MDMin, QuasiNewton
from ase.constraints import U... |
import datetime
import logging
import sqlite3
import time
import schedule
from current_ministry_of_finance import (
get_current_articles_from_legislacja, get_current_articles_from_projects,
get_current_articles_on_ministry_of_finance,
get_current_articles_on_website_podatki_gov_pl)
from shorten_url import ... |
from bot import BotObtainer
from web import HandlerApi
from aiohttp import web
import settings
import logging
import asyncio
import pathlib
import json
import jwt
from aiohttp import web
from loguru import logger
def decode_token(jwt_token, user_token):
logger.debug(jwt_token)
logger.debug(user_token)
d... |
# -*- coding: utf-8
from django.contrib import admin
from whipturk.models import WhipReport
class WhipReportAdmin(admin.ModelAdmin):
raw_id_fields = ('bill', 'target', 'user')
admin.site.register(WhipReport, WhipReportAdmin)
|
#!/usr/bin/python3
"""[summary]
"""
from api.v1.views import app_views
from models import storage
from models.engine.file_storage import classes
@app_views.route('/status')
def status():
"""Return the status of the page
"""
return {'status': 'OK'}
@app_views.route('/stats')
def countdown():
"""Retur... |
from django.shortcuts import render
from .models import Book, Review
# Create your views here.
def book_list(request):
books = Book.objects.all()
book_list = []
for book in books:
reviews = book.review_set.all()
print(reviews)
total_books = Book.objects.count()
return render(requ... |
"""
Acl roles
=========
"""
_schema = {'name': {'type': 'string',
'required': 'true',
},
'description': {'type': 'string'},
'ref': {'type': 'string',
'unique': True},
'group': {
'type': 'obj... |
from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth.hashers import make_password
from activity.models import Activity, ActivityStatistics
# Scraping tools
import random
import json
from django.contrib.auth.models import User
from faker import Factory
fake = Factory.create()
act... |
import cv2
import numpy as np
import tensorflow as tf
import h5py
import os
from keras.backend.tensorflow_backend import set_session
from keras.models import Sequential
from keras.layers import Convolution2D, Flatten, Dense, MaxPooling2D, Dropout
from keras.utils.np_utils import to_categorical
from keras import losses,... |
import os
import nibabel as nib
## ######### ART PARAMETERS (edit to desired values) ############
global_mean=1 # global mean type (1: Standard 2: User-defined Mask)
motion_file_type=0 # motion file type (0: SPM .txt file 1: FSL .par file 2:Siemens .txt file)
use_diff_motion=1 # 1: uses scan-to-scan motion to de... |
#Imports for MailChimpETL
import json
import datetime
import pandas as pd
from dateutil.relativedelta import relativedelta
from sqlalchemy import create_engine
import flat_table
from mailchimp3 import MailChimp
#Create the class for MailChimp scrapper
class MailChimp_ETL():
"""An instance of this class sets up the ... |
# -*- coding: utf-8 -*-
import itertools
import warnings
from typing import List, Optional, NamedTuple
import numpy as np
import skfmm as fmm
from scipy.interpolate import RegularGridInterpolator
from scipy.spatial.distance import euclidean
from ._base import mpe_module, PointType, InitialInfo, PathInfo, PathInfoRe... |
#!/usr/bin/env python
# coding: utf-8
# In[155]:
import pandas as pd
import numpy as np
# In[156]:
df = pd.read_csv('../data/compas.data',
parse_dates = ['DateOfBirth'])
# In[157]:
removed_columns = [
'Person_ID',
'AssessmentID',
'Case_ID',
'LastName',
'FirstName',
'... |
import sys
n, big = map(int, raw_input().split())
total = [str(big)]
temp = big
while big > n:
if big % 2 == 0:
big = big / 2
total.append(str(big))
else:
temp = (big - 1) // 10
if temp * 10 + 1 == big:
total.append(str(temp))
big = temp
else:... |
import sys
from fractions import gcd
import numpy as np
def primesfrom3to(n):
# http://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python/3035188#3035188
""" Returns a array of primes, p < n """
assert n>=2
sieve = np.ones(n/2, dtype=np.bool)
for i in xrange(3,int(... |
from django.contrib.auth.forms import AuthenticationForm
class LoginForm(AuthenticationForm):
username=forms.CharField(widget=forms.TextInput(attrs = {'class':'form-control'}))
password=forms.CharField(widget=forms.PasswordInput(attrs = {'class':'form-control'})) |
import random
lower_letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k',
'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
upper_letters = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K',
'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V... |
import logging
import json
import patcherex.patches
l = logging.getLogger("patcherex.techniques.ManualPatcher")
class ManualPatcher:
def __init__(self, binary_fname, backend, patch_file):
with open(patch_file, "rb") as patch_file_obj:
self.patches = json.load(patch_file_obj)
self.bina... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import pandas as pd
# pandas索引类型常用方法
dl = {'城市':['北京', '上海', '广州', '深圳', '沈阳'], \
'环比':['101.5', '101.2', '101.3', '102.0', '100.1'], \
'同比':['120.7', '127.3', '119.4', '140.9', '101.4'], \
'定基':['121.4', '127.8', '120.0', '145.5', '101.6']}
d = pd.Dat... |
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
import os
from glob import glob
import numpy as np
from matplotlib.mlab import csv2rec
from mpl_toolkits.mplot3d.axes3d import Axes3D
# <codecell>
directory = '/Users/alex/Documents/PTV/test/res/'
# <codecell>
list_ptv_is_files = glob(os.path.join(di... |
from sklearn import datasets
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split, validation_curve
def get_data():
# 导入数据集
iris = datasets.load_iris()
data = iris.data
target = iris.target
x_train, x_test, y_train, y_test = train_test_split(dat... |
# -*- coding: utf-8 -*-
''' 曲别针换钢琴(使用dict实现)
'''
CLIP, POSTER, CD, GUITAR, DRUM, PIANO = ('clip', 'poster', 'cd', 'guitar',
'drum', 'piano')
infinity = float('inf')
graph = {CLIP: {POSTER: 0, CD: 5},
POSTER: {GUITAR: 30, DRUM: 35},
CD: {GUITAR: 15, DRUM: 20... |
"""
ボタン機能追加
"""
import pygame
from pygame.locals import *
import sys
import Helper
from Helper import BattleHelper
import Base2 as Base
class ObjectClass(Base.ObjectClass):
def __init__(self, MainClass, kwargs):
self.MainClass = MainClass
self.BattleHelper = MainClass.BattleHelper
self.H... |
#Abrir y trabajar un archivo de texto
archivo = open('frutas.txt', 'r', encoding= 'utf-8')
for linea in archivo:
linea = linea.replace('\n', '')
print(linea)
archivo.close()
|
import pytorch_wrapper as pw
import torch
import os
import uuid
from torch import nn
from torch.utils.data import DataLoader, SequentialSampler, RandomSampler
from torch.optim import AdamW
from itertools import product
from ...utils.loss_wrappers import PassThroughLossWrapper
from .model import UDRNNModel
from .datas... |
from scoring_engine.db import session, delete_db, init_db
from scoring_engine.models.setting import Setting
class UnitTest(object):
def setup(self):
self.session = session
delete_db(self.session)
init_db(self.session)
self.create_default_settings()
def teardown(self):
... |
import json
import csv
fileName = 'document.json'
with open(fileName, 'rb') as fin:
content = json.load(fin)
count = 0
data = ''
for k, v in content.items():
if k=='TimeStamp':
date = v
if k=='Categories':
for k1, v1 in v.items():
for p, cost in ... |
from django.db import migrations
from django.conf import settings
def create_data(apps, schema_editor):
Product = apps.get_model('catalog', 'Product')
Product(sku='sku1',name='Product 1', description='Product 1', buyPrice=100 , sellPrice=100,unit='kilogram', quantity=100).save()
Product(sku='sku2',name='Pr... |
from source.domain.student import Student
class DataProviderStudent:
studentList = None
def __init__(self):
global studentList
studentList = dict()
def insert(self, student):
global studentList
studentList[student.getStudentId()] = student
retur... |
import os, os.path
from hsc.integration.test import CommandsTest
from hsc.integration.camera import getCameraInfo
class SolveTansipTest(CommandsTest):
def __init__(self, name, camera, visit, rerun=None, **kwargs):
self.camera = camera
self.visit = visit
self.rerun = rerun
cameraInf... |
from twitter import *
from pushbullet import PushBullet
import config
CONSUMER_KEY = config.twitter_consumer_key
CONSUMER_SECRET = config.twitter_consumer_secret
OAUTH_TOKEN = config.twitter_oauth_token
OAUTH_SECRET = config.twitter_oauth_secret
pb_api_key = config.pb_api_key
twitter = Twitter(auth=OAuth(
OAUTH_TOKE... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
s1 = 72
s2 = 85
r = (s2-s1)/s1*100
print("小明，成绩提升了%.1f%%。" % r)
print("小明，成绩提升了{0:.1f}%。".format(r)) |
H, W, N = map(int, input().split())
point = [tuple(map(int, input().split())) for _ in range(N)]
a = {j:i for i, j in enumerate(sorted(set(map(lambda x:x[0], point))), start=1)}
b = {j:i for i, j in enumerate(sorted(set(map(lambda x:x[1], point))), start=1)}
for i in point:
print(a[i[0]], b[i[1]])
|
# This shows the use of generators, and use of iter() and next() methods - scratch sheet
# simple use of generators
# def generate_nums():
# for i in range(10):
# yield i
#
# for k in generate_nums():
# print(k)
# Use of Generators to not allocate everything in memory
# the usual way to allocate everything in... |
# First as a comparison: design an unwarped filter with 4 coefficients/taps with these specifications:
import scipy.signal as sp
cunw = sp.remez(4, [0, 0.025, 0.025+0.025, 0.5], [1,0], [1, 100])
print 'cunw = ', cunw
#impulse response:
import matplotlib.pyplot as plt
plt.plot(cunw)
plt.xlabel('Sample')
plt.ylabel('va... |
# -*- coding: utf-8 -*-
class ValidationException(Exception):
def __init__(self, message, fields):
super(ValidationException, self).__init__(message)
self.message = message
self.fields = fields
|
#coding=utf-8
class Person(object):
sex = 'man'
age = 18
def fun(self):
print 'fdhsfhsd'
class Metel(object):
height = 21
def fun(self):
print 'hello'
a = Person()
a.name = 'zhangsan'#添加私有变量
a.age = 20
b = Person()
print b.sex
print a.sex
print a.name
print a.age
pri... |
from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class AddressBookConfig(AppConfig):
name = "packman.address_book"
verbose_name = _("Address Book")
|
#!/usr/bin/python/
import numpy as np
from math import *
from pprint import pprint
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
identityMatrix_44 = np.matrix([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]])
max_thetaX = 90
min_thetaX = -90
max_thetaY = 90
min_the... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('clientes', '0005_auto_20151017_2118'),
]
operations = [
migrations.AlterField(
model_name='cliente',
... |
import tkinter as tk
from Utilities import BGLogger, Graph
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import os
class GraphPage(tk.Frame):
def __init__(self, master, controller):
tk.Frame.__init__(self, master)
self.controller = controller
self.Logger = BGLogger.Keyb... |
from pwn import *
io = remote('oucs.cry.wanictf.org','50010')
plaintext = ""
ciphertext = ""
n = 0
# Get n
io.recvuntil('> ')
io.sendline('4')
exec(io.recvline().decode('utf-8')) # n
# Get c1
io.recvuntil('> ')
io.sendline('1')
exec(io.recvline().decode('utf-8'))
flag_encrypt = ciphertext
# Get c2
io.recvuntil('> ... |
import re
import subprocess
from math import log
from pathlib import Path
from nltk import FreqDist, TweetTokenizer
from nltk.corpus import stopwords
from sqlalchemy.orm import sessionmaker
from tqdm import tqdm
import settings
from db import events
from db.engines import engine_lmartine as engine
from db.models_new ... |
from django.db import models
from django.contrib.auth.models import User
class Pessoa(models.Model):
usuario = models.OneToOneField(User,
on_delete = models.CASCADE,
verbose_name ='Usuário')
nome = models.CharField('Nome',
... |
from django.views.generic import DetailView
from braces.views import LoginRequiredMixin
from .models import User
class ProfileDetailView(LoginRequiredMixin, DetailView):
'''
Displays the user profile information
'''
model = User
def get_object(self):
# Get the currently logged in user
... |
from django.contrib.auth import authenticate
from rest_framework import serializers
from account.models import MyUser
from account.utils import send_activation_code
class RegisterSerializer(serializers.ModelSerializer):
password = serializers.CharField(min_length=6, write_only=True)
password_confirm = serial... |
# Generated by Django 3.0.7 on 2020-07-05 15:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('english', '0011_auto_20200705_1949'),
]
operations = [
migrations.RemoveField(
model_name='testtest',
name='correct_... |
import tkinter as tk
from tkinter import font as tkfont
from tkinter import *
from tkinter import ttk
import tkinter.messagebox
import sqlite3
class SSIS:
def __init__(self,root):
self.root = root
self.root.title("Student Information System")
self.root.geometry("1300x700+0+0")
... |
import logging
from typing import Any, Dict, Tuple
class NullHandler(logging.Handler):
def emit(self, record: Any) -> None: ...
ScalarTypes: Tuple[str, ...]
BOTOCORE_ROOT: str
class UNSIGNED:
def __copy__(self) -> UNSIGNED: ...
def __deepcopy__(self, memodict: object) -> UNSIGNED: ...
def xform_name(
... |
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-04-04 14:57
from __future__ import unicode_literals
from django.db import migrations
def load_articles(apps, schema_editor):
Article = apps.get_model('articles', 'Article')
OldArticle = apps.get_model('aldryn_newsblog', 'Article')
Tag = apps.ge... |
#!/usr/bin/env python
import optparse
import time
def check_time(input):
try:
time.strptime(input, '%H:%M')
return True
except ValueError:
return False
def set_commands_for_sssr():
print 'setting commands for sssr', options.sssr
def set_commands_for_time():
print 'setting ... |
import sys
f = open('teams.txt')
n = int(f.readline().strip())
#n = int(input().strip())
n = 1
if n == 0:
print("0")
sys.exit(0)
for student_group in range(0, n):
# line = [int(x) for x in input().strip().split(' ')]
# line = [int(x) for x in f.readline().strip().split(' ')]
line = [int(x) for x in... |
"""This module is part of Swampy, a suite of programs available from
allendowney.com/swampy.
Copyright 2011 Allen B. Downey
Distributed under the GNU General Public License at gnu.org/licenses/gpl.html.
"""
from __future__ import print_function, division
import optparse
import os
import copy
import random
import sys... |
def recursion(m, n):
# Базовый случай
if m == 0:
return n + 1
# Шаг рекурсии / рекурсивное условие
elif n == 0 and m > 0:
return recursion(m - 1, 1)
# Шаг рекурсии / рекурсивное условие
else:
return recursion(m - 1, recursion(m, n - 1))
print(recursion(0, 15))
|
'''
Level: Easy
Given an integer array nums, return the third distinct maximum number in this array.
If the third maximum does not exist, return the maximum number.
Example 1:
Input: nums = [3,2,1]
Output: 1
Explanation:
The first distinct maximum is 3.
The second distinct maximum is 2.
The third distinct maximum i... |
class Quadruplets2:
# Returns the number of quadruplets that sum to zero.
# a - [int]
# b - [int]
# c - [int]
# d - [int]
@staticmethod
def zero_quadruplets_count(a, b, c, d):
left_sums = {}
right_sums = {}
result = 0
for element1 in a:
for elem... |
import smtplib
sender = 'ayushgoel2004@gmail.com'
receivers = ['goel.monica1@gmail.com']
message = """From: From Person <from@fromdomain.com>
To: To Person <goel.monica1@gmail.com>
Subject: Python email number 1
This is awesome.
"""
smtpObj = smtplib.SMTP('localhost')
smtpObj.sendmail(sender, receivers, message)
p... |
#!/usr/bin/env python
# coding: utf-8
import math
import sys
pempty = lambda x: math.e ** (-x)
pone = lambda x: x * math.e ** (-x)
pcollision = lambda x: 1 - (1+x) * math.e ** (-x)
perc = lambda x: '%02.0f%%' % (x*100)
if __name__ == "__main__":
loadfactors = [float(x) for x in sys.argv[1:]]
for lf in loadfa... |
import pytest
# FIXME This test is too flaky
# https://github.com/ClickHouse/ClickHouse/issues/42561
pytestmark = pytest.mark.skip
import logging
from string import Template
import time
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import assert_eq_with_retry
from pyhdfs import HdfsClient
... |
from random import randint
# Specify weapons
weapons = ("rock", "paper", "scissors")
# Initialize global variables
game_continue = ""
computer_score = 0
player_score = 0
while game_continue != "N":
# Generate opponent weapon
number = randint(1,3)
if number == 1:
computer_weapon = weapons[0]
elif number ==... |
"""Dump JSON data from Postgres to local storage."""
import json
from typing import Optional
from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from psycopg2.extras import RealDictCursor
class PostgresToLocalOperator(BaseO... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import scipy.io
import cPickle
import configuration
def main(unused_argv):
# load data disk
x = cPickle.load(open("./data/mscoco/data.p","rb"))
train, va... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.