text stringlengths 8 6.05M |
|---|
from setuptools import setup, find_packages
requirements = [
r.strip() for r in open('requirements.txt').readlines() if '#' not in r]
setup(
name='gosuslugi-api',
author='Greg Eremeev',
author_email='gregory.eremeev@gmail.com',
version='0.7.0',
license='BSD-3-Clause',
url='https://github... |
n = int(input())
for x in range(1, n):
n = n * x
print(n) |
deposito = float(input("Deposito inicial: "))
taxa = float(input("Taxa de juros: "))
investimento = float(input("Deposito mensal: "))
mes = int(input("Entre com o numero de meses: "))
render = 1
saldo = deposito
while render <= mes:
saldo = saldo + (saldo * (taxa / 100)) + investimento
print (f"Saldo do mês {re... |
#rotates chunks' bounding box in accordance of coordinate system for active chunk
#bounding box size is kept
#compatibility: Agisoft PhotoScan Professional 1.1.0
import PhotoScan
import math
doc = PhotoScan.app.document
chunk = doc.chunk
T = chunk.transform.matrix
v_t = T * PhotoScan.Vector( [0,0,0,1] )
v_t.size ... |
"""
制作训练集的tfrecord文件
使用COVID19类，获取数据，之后按照将获取到的数据处理成tfrecord的存储格式，写入到tfrecord，保存到磁盘
"""
import os
import numpy as np
import tensorflow as tf
from Utils import COVID19
def serialize_example(x, mask, lung_mask):
"""converts x, mask, lung_mask to tf.train.Example and serialize"""
# 1.构建用于创建Feature对象的 list
# 注... |
#name= (input("enter your name:")
#family = (input("enter your family:"))
n=input('enter your name:')
f=input('enter your name:')
nomre1=int(input('enter score one'))
nomre2=int(input('enter score two'))
nomre3=int(input('enter score three'))
majmoe=nomre1+nomre2+nomre3
miangin=majmoe/3
if miangin >= 17 ... |
import unittest
from katas.beta.which_string_is_worth_more import highest_value
class HighestValueTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(highest_value('AaBbCcXxYyZz0189', 'KkLlMmNnOoPp4567'),
'KkLlMmNnOoPp4567')
def test_equal_2(self):
... |
class Vertex:
def __init__(self, name, weight = 0):
self.name = name
self.weight = weight
def get_name(self):
return self.name
class Graphs:
def __init__(self):
self.adjancy_list = {}
def addVertex(self, vertex):
if(self.adjancy_list.get(vertex) is not None):
... |
tab = int(input('Please type a number to see your table'))
a = tab * 0
b = tab * 1
c = tab * 2
d = tab * 3
e = tab * 4
f = tab * 5
g = tab * 6
h = tab * 7
i = tab * 8
j = tab * 9
l = tab * 10
print(' The table of {} is \n x 0={} \n x 1={} \n x 2={} \n x 3={} \n x 4={} \n x 5={} \n x 6={} \n x 7={} \n x 8={} \n x 9={}... |
from pyspark import SparkContext, SparkConf
import time
import sys
sc = SparkContext(appName="word_counter")
files_to_evaluate = sys.argv[3:]
print("Put the number of workers in the cluster")
machines = sys.argv[1]
print("Put the number of cores in each machines")
cores = sys.argv[2]
for i in files_to_evaluate:
... |
#Given 2 ints, a and b, return True if one if them is 10 or if their sum is 10.
def makes10(a,b):
if ((a == 10) or (b == 10)) or (10 == a + b):
return True
else:
return False
#def makes10(a, b):
#return (a == 10 or b == 10 or a+b == 10)
#self note: dont need all the ( because only one nee... |
# Reading the e960401 file for basic manipulation
import nltk
from nltk.corpus import PlaintextCorpusReader
corpus_root = '../../../Corpus'
excelsior = PlaintextCorpusReader(corpus_root, '.*\.txt')
print("Available articles ", excelsior.fileids())
article_name = 'e960401.txt'
article = excelsior.words(fileids=artic... |
import matplotlib.pyplot as pl
import numpy as np
from matplotlib.colors import LogNorm
import itertools as it
class CorrPlot(object):
"""
Visualize the data and the models
"""
def __init__(self, log=False):
self.fig, self.ax = pl.subplots()
self.xlim = None
self.ylim = None
... |
#!/usr/bin/python3
""" module containts unittests for class State """
import unittest
import json
from models.base_model import BaseModel
from models.state import State
class testState(unittest.TestCase):
""" unittests for State """
def setUp(self):
""" Sets up the class """
self.state = St... |
import xmpp
import redis
from threading import Timer
user = 'k'
password = 'k'
station_no = '1'
def get_local_data():
try:
r = redis.Redis('localhost', port = 6379, db = 0)
except Exception, (e):
print str(e)
macs = r.hkeys('station_'+station_no)
for i in macs:
msg[i] = r.lrange(i+"_"+station_no,0,-1)
resp... |
import argparse
import glob
import os
import re
import wandb
def parse_log_line(line):
split = re.split(" ", line)
loss = float(split[2].replace(",", "")) # Remove ',' right after the loss value
step_index = split.index("step") + 2
step = int(split[step_index])
return loss, step
if __name__ ==... |
# Generated by Django 2.0.6 on 2018-08-24 20:12
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('checkout', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='purchase',
old_name='phone',
ne... |
#!/usr/bin/env python
# encoding: utf-8
"""
Created by 'bens3' on 2013-06-21.
Copyright (c) 2013 'bens3'. All rights reserved.
"""
import os
import unittest
from nose.tools import assert_equal
from nose.tools import assert_not_equal
from nose.tools import assert_raises
from nose.tools import raises
from ke2mongo impor... |
"""
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Valerie Galluzzi, Mark Hays, Amanda Stouder,
their colleagues and Muqing Zheng. September 2015.
""" # DONE: 1. PUT YOUR NAME IN THE ABOVE LINE.
def mai... |
# -*- coding: utf-8 -*-
# Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
from matplotlib.image import imsave
from matplotlib.colors import ListedColormap
from ..fmtxt import Image
from ._colors import ColorBar
class BrainMixin(object):
"Additions to "
# Mixin that adds Eelbrain functionality to the p... |
import socket
import _thread
from stepper import Stepper_28BYJ
import ssd1306
import machine
import time
#pins0 = [25,26,2,14] Conflict with I2C
#pins1 = [16,5,4,0]
pins0 = [25,26,12,13]
pins1 = [16,0,2,14]
def process_command(data,motors):
pass
def display_thread(motors):
i2c = machine.I2C(scl... |
#!/usr/bin/env python
#coding:utf8
from flask import Blueprint
analysis = Blueprint('analysis',__name__)
from analysis import views
|
import django_filters
from django.db import models
from invoices.models import Invoice
class InvoiceFilter(django_filters.FilterSet):
patient_id__first_name = django_filters.CharFilter(lookup_expr='iexact')
patient_id__last_name = django_filters.CharFilter(lookup_expr='iexact')
patient_id__insurance = dja... |
from pathlib import Path
import sys, time
import torch
import torch.optim as optim
import numpy as np
import json
from utils.clevr import load_vocab, ClevrDataLoaderNumpy, ClevrDataLoaderH5
from tbd.module_net_binary import TbDNet
import h5py
from tbd.module_net import load_tbd_net
from utils.generate_programs import l... |
from django.shortcuts import render
# Create your views here.
from rest_framework import viewsets, permissions
from Notes.models import Term, ClassNote
from Notes.serializers import TermSerializer, CourseSerializer
class TermViewSet(viewsets.ModelViewSet):
serializer_class = TermSerializer
permission_classe... |
import time
import sys
from colored import fg, attr
from PyQt5 import QtWidgets, QtGui
from base import Ui_MainWindow
from Logic import SteganoMode, BlatantMode
class Logger:
@staticmethod
def info(msg):
print(f"{fg(225) + attr(1)}[{time.strftime('%Y-%m-%d %H:%M.%S', time.localtime())}]... |
#!/usr/bin/env
# -*- coding: utf-8 -*-
__author__ = 'Vmture'
from selenium import webdriver
import re
import csv
import time
import os
import codecs
from create_folders import create_folders
from download_apk import download_apk
with open('./urls.json', 'r') as urls:
xiaomi_url = eval(urls.read())['xiaomi_url']
x... |
firstname = "Olayinka"
lastname = "Idumu"
Age = "28 year"
Address = "No 8, Aduralere quaters of ijoka road Akure"
State_of_Origin = " Ose L.G"
Year_of_birth = "1990"
Nationality = "Nigeria"
Marital_status = "Single"
Religion = "Christainity"
print("Biodata Form")
print("Firstname:",firstname)
print("Lastname:" ,lastna... |
from fileinput import input
inpt = [i for i in input()]
lst = [{len([x for x in i if x == j]) for j in set(i)} for i in inpt]
flatlist = [item for x in lst for item in x]
print(len([x for x in flatlist if x == 2]) * len([x for x in flatlist if x == 3]))
for first in inpt:
for snd in inpt:
differences ... |
from django.contrib.auth.models import User
from django.db import transaction
@transaction.atomic
def register_user(username: str, password: str) -> User:
"""
Register user
:param username:
:param password:
:return:
"""
user = User(username=username)
user.set_password(password)
use... |
import random as rm
import math as m
import copy
import os, sys
directory = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(directory, "code"))
sys.path.append(os.path.join(directory, "code", "classes"))
sys.path.append(os.path.join(directory, "code", "algoritmes"))
from datastructuur import ... |
num = int(input("Enter a number: "))
temp = num
summation = 0
while num > 0:
i = num%10
summation = summation+1
num = num//10
print("No of digits in",temp,"are",summation)
|
import numpy as np
import cv2
import os
face_cascade = cv2.CascadeClassifier('/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_eye.xml')
#the zero signifies which camera
cap = cv2.VideoCapture(0)
w... |
from boto import ec2
class EC2Launcher():
def __init__(self, image_id, n_instances=1, price=0.01, user_data_file="",
region='aws-east-1', instance_type='m3.large',
is_spot_request=True):
self.image_id = image_id
self.n_instances = n_instances
self.p... |
# hieronder een manier om snel een gitaarneck overzicht te maken me #(kruizen) of b(mollen)
sharps = 'A A# B C C# D D# E F F# G G#'.split() * 3
flats = 'A Bb B C Db D Eb E F Gb G Ab'.split() * 3
def string_builder(notes_type, *args):
""" building the 6 strings with 24 notes each """
temp = []
for arg in... |
from mattermostdriver import Driver
from coffeebot import config, utils
def main():
print("Creating Mattermost Driver...")
driver_options = {
'url': config.URL,
'login_id': config.USERNAME,
'password': config.PASSWORD,
'port': config.PORT
}
driver = Driver(driver_optio... |
# This is a complete example that computes histogram for each region of a volume defined by a segment.
# This script requires installation of SegmentEditorExtraEffects extension, as it uses the Split volume effect,
# which is provided by this extension.
import os
import vtk, qt, ctk, slicer
import logging
from Segme... |
from game import *
from actor import *
#from object import *
class Object(Entity):
#Constructor
nb_cnstrctArg = 1
def __init__(self, args): #name,pos,dim,health
super().__init__(args[:-super().nb_cnstrctArg])
self.vars = args[super().nb_cnstrctArg:] |
from __future__ import annotations
import enum
__all__ = (
"Sentinel",
"Undefined",
"sentinel",
"undefined",
)
class Sentinel(enum.Enum):
"""
A special type to represent a special value to indicate closing/shutdown of queues.
"""
token = 0
class Undefined(enum.Enum):
"""
A ... |
# 冻结和微调
# VGG19模型训练网络
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam,SGD
import numpy as np
from keras.applications import ResNet50,VGG19
import matplotlib.pyplot as plt
# tf.test.gpu_device_name()
model_name = "FrozenAndFinetuning" # 模块命名，用于绘图时
train_epochs0 = 3... |
import cv2 as cv
img = cv.imread('irene.jpg', cv.IMREAD_UNCHANGED)
cv.namedWindow('img') # window를 생성시킴
cv.moveWindow('img', 0, 0) # 표시되는 창의 위치를 옮김
cv.imshow('img', img) # 'img'라는 윈도우가 없으면 새로 만든다. 있으면 윈도우에 img를 표시
cv.waitKey()
cv.moveWindow('img', 400, 400) # 버튼을 한 번 누르면 창을 이동시킴
cv.waitKey()
cv.destroyAllWindows(... |
from flask import Flask, render_template, request, redirect, session, flash, jsonify
from mysqlconnection import connectToMySQL
import re
import base64
import os
#from datetime import datetime
from flask_bcrypt import Bcrypt
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives im... |
from random import random
class City(object):
def __init__(self, x=0, y=0, create_random=False):
self.x = x
self.y = y
if create_random:
self.x = int(round(random() * 200))
self.y = int(round(random() * 200))
def distance_to(self, city):
im... |
import numpy as np
import random
class Bandit:
"""Bandit problem abstract class.
"""
def __init__(self, num_arms, name='bandit'):
"""Initialization.
Args:
num_arms: number of arms for bandit problem
name: custom name for bandit
"""
self.num_arms = nu... |
import pygame
class GameView:
def __init__(self, _window_width, _window_height):
self.display_surf = pygame.display.set_mode((_window_width, _window_height))
def update_display(self):
pygame.display.update()
def draw_background(self, _color):
self.display_surf.fill(_color)
def draw_grid(self, _color, _wid... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2018-09-17 13:10
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.... |
from PIL import Image
def img_show(img):
pil_img = Image.fromarray(np.uint8(img))
pil_img.show()
|
from elements.code_segment import CodeSegment
from elements.datatype_elements import StringElement, NumberElement, ArrayElement
from utils.commands import *
from utils.util import flatten, is_num, is_variable_like
class Line(CodeSegment):
def __init__(self, string: str):
"""Line
Represents singl... |
from datetime import datetime
WEEKDAYS = ('Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday')
def day(date):
return WEEKDAYS[datetime.strptime(date, '%Y%m%d').weekday()]
|
import nltk
from nltk.tokenize import sent_tokenize
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
class TextTokenization:
#sentence tokenization
def sentenceTokenize(self, rawText):
return sent_tokenize(rawText)
#word tokenization
def wordTokenize(self, sentence):
s... |
file = open('commands.txt', 'w')
file.write('This is file.write.')
file = open('commands.txt', 'r')
print('this is file.readline() : ', file.readline())
print('this is file.read(10)', file.read(10))
print('this is file.read()', file.read())
file.close()
file = open('commands.txt', 'a+')
file.write('this is file.... |
import time
from django.test.client import Client
import oauth2 as oauth
from piston.models import Consumer as ConsumerModel
from test_utils import RequestFactory
class TestClient(object):
def __init__(self):
ConsumerModel.objects.create(name='test', key='test',
secret='test', status='accep... |
import tensorflow as tf
from tensorflow import keras as k
from util_tf import instance_norm
def MFNet():
# Model initialization
inputs1 = k.Input(shape=(None, None, 1))
inputs2 = k.Input(shape=(None, None, 1))
concat = k.layers.concatenate([inputs1, inputs2], axis=3)
cnn = mf_module(name='mf_modul... |
'''# First Method
import pygame
pygame.mixer.init()
pygame.mixer.music.load('song.mp3')
pygame.mixer.music.play()
while pygame.mixercontinue.music.get_busy() == True:
#Second Method
import os
os.system('vlc song.mp3 &')'''
# chalo isi tarah sab kar lenege ok ?
#test on mac
import subprocess
import os
#print os.p... |
from telegram import ReplyKeyboardMarkup
from telegram.ext import Updater, CommandHandler, ConversationHandler, MessageHandler, Filters
from bs4 import BeautifulSoup as BS
from telegram.ext import CallbackContext
import requests
keyboard=ReplyKeyboardMarkup([
['Andijon','Buxoro'],
["Farg'ona","Jizzax"... |
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
from sklearn.cluster import AffinityPropagation
from matplotlib import pyplot as plt
from sklearn import metrics
from sklearn.cluster import spectral_clusterin... |
#Faça um programa que leia um ângulo qualquer e mostre na tela o valor do seno, cosseno e tangente desse ângulo.
import math
angulo = float(input('Digite o ângulo que você deseja: '))
seno = math.sin(math.radians(angulo))
cosseno = math.cos(math.radians(angulo))
tangente = math.tan(math.radians(angulo))
print('O ângul... |
import PIL.Image as Image
import torch
from torch.utils.data import Dataset
from torchvision import transforms
class CIFARDataset(Dataset):
def __init__(self, images, labels, training=True):
self.images = images
self.labels = labels
if training:
self.transform = self._train_tran... |
from django.contrib import admin
# Register your models here.
from .models import Found, ProvinceFound
@admin.register(Found)
class FoundAdmin(admin.ModelAdmin):
list_display = ('found_name', 'manager', 'money', 'company', 'category', 'grant_year')
list_filter = ('category', 'grant_year')
search_fields ... |
import unittest
from katas.kyu_6.string_shortener_shrink import shorten
class ShortenTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(shorten(
'The quick brown fox jumps over the lazy dog', 27
), 'The quick br...the lazy dog')
def test_equal_2(self):
... |
import timeit
from pdf2image import convert_from_path
from print import log
def convert_to_jpg(pdf_filename, export_path) -> list:
# Convert to jpg
log('Starting conversion to jpg...')
start = timeit.default_timer()
pages = convert_from_path(pdf_filename, 500)
end = timeit.default_timer()
log(... |
from itertools import cycle
from random import randint
from common.fields import JsonField
from django.contrib.auth.models import AbstractUser
from django.db import models
from django.db.models import F, Q, Sum, FloatField
from django.utils.translation import gettext_lazy as _
from starwars.enums import (
SKILL_D... |
# coding: utf-8
import paho.mqtt.client as mqtt
import os
import re
import RPi.GPIO as GPIO
from os.path import join, dirname
from dotenv import load_dotenv
from modules.re_compiler import ReMatch
from modules.led_flash import Flash
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
... |
import image
import meme
from flask import Flask, jsonify
from flask_restful import Api, Resource, reqparse
app = Flask( __name__ )
api = Api( app )
class Meme(Resource):
def get(self, query, message):
return {'meme': meme.makememe( message, image.downloadimage(query) ) }, 200
api.add_resource(... |
#!/usr/bin/env python
# ----------------------------------------------------------
# Tests - Glass Server
# ----------------------------------------------------------
# Folder where all Tests are held for glass server.
#
# This init.py file
#
# ---------------------------------------------------------------
import os... |
#Functions can return Something
def add(a,b):
print "ADDING %d + %d " %(a,b)
return a+b
def subtract(a,b):
print "SUBTRACTING %d - %d " %(a,b)
return a-b
def multiply(a,b):
print "MULTIPLYING %d*%d " %(a,b)
return a*b
def divide(a,b):
print "DIVIDING %d/%d " %(a,b)
return a/b
print "Let's do some math ... |
#!/usr/bin/python
def palindrone(num):
num = str(num)
l = len(num)
for i in range(l // 2):
if num[i] != num[l - i - 1]:
return False
return True
total = 0
for i in range(10000):
temp = i
for j in range(50):
temp += int(str(temp)[::-1])
if palindrone(temp):
... |
import json
import torch
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from torch.utils.data import Dataset
import torch as pt
from preprocessing import read_split_images
from word2vec import train_w2v, use_w2v
PATH = "input/"
class FLICKR30K(Dataset):
w2v_model = None
coun... |
def solution(n):
answer = [ i for i in range(2, n + 1, 2)]
return sum(answer) |
# Santosh Khadka
# Python collections module
# Specialized container types
from collections import Counter # NOTE: make sure the file you're working on is not called "collections" !!!
from collections import defaultdict # Assigns default value in the instance a KeyError would've occured. - Prevents KEY ERROR
from coll... |
import datetime
import hashlib
import importlib
import os
import sys
import time
from collections import namedtuple
from capturing import Capturing
from status import Status
from virtualenvironment import IsolatedVirtualEnvironment
import database
db = database.getInstance()
Chord = namedtuple('Chord', ['path', 'na... |
from controlpanel import ISEOControlpanel; ISEOControlpanel
|
from pandas import *
from ggplot import *
path = 'c:\\Leah\\udacity\\P1\\turnstile_data_master_with_weather.csv'
df = pandas.read_csv(path)
df['DATEd'] = to_datetime(df['DATEn'], format = '%Y-%m-%d')
df['weekday'] = df['DATEd'].dt.weekday
grouped = df.groupby(['weekday'], as_index = False).mean()
print groupe... |
from marshmallow import Schema, fields, EXCLUDE, post_load
from eddn.journal_v1.model import JournalV1, Header, Message
class BaseSchema(Schema):
class Meta:
unknown = EXCLUDE
class HeaderSchema(BaseSchema):
uploader_id = fields.String(required=True, data_key="uploaderID")
software_name = field... |
# Generated by Django 2.2.4 on 2019-10-13 15:37
from django.db import migrations
import djmoney.models.fields
class Migration(migrations.Migration):
dependencies = [
('billings', '0005_auto_20191013_2215'),
]
operations = [
migrations.AlterField(
model_name='payment',
... |
# Primality test using two optimization methods in comparison with a naive solution that
# iterates through all the positive integers less than the input number, to check if any divides it
# 1-Testing integers only up to the square root of the input number (trial division)
# 2-Testing integers only of the form 6k ± 1 ... |
# test 1
customs = ["lili", "amy", "sam", "fox"]
if customs:
for custom in customs:
if custom == "amy":
print("hello amy, would you like to see some status report")
else:
print("hello " + custom + " , thanks for logging in.")
else:
print("We need to find some users")
pr... |
#!/usr/bin/env python
# coding: utf-8
# In[36]:
import docplex.mp.model as cpx
import networkx as nx
import pandas as pd
import matplotlib.pyplot as plt
from math import sqrt
import networkx as nx
# In[88]:
location = 'C:/Users/dell pc/Desktop/Sem 8/INDR460-OPERATIONS RESEARCH APPLICATIONS/assignments/assignmen... |
# -*- coding: utf-8 -*-
# Import libraries
import os
import sys
import string
import copy
import datetime
import numpy as np
import pandas as pd
import time
from random import randint
from bs4 import BeautifulSoup
from selenium import webdriver
from Scraper import*
#---------------------------------------------------... |
from helper import Helper
from main_loader import Main_loader
from histogram_comparer import Hsv
import os
import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
from sklearn import tree
from sklearn.metrics import accuracy_score
class Trivial_algo(Helper):
def __init__(self, main_folder, init_l... |
# Author Yinsen Miao
import pandas as pd
import numpy as np
import lightgbm
from sklearn.metrics import mean_squared_error
from math import sqrt
import seaborn as sns
from optuna.samplers import TPESampler
from sklearn.model_selection import train_test_split
import optuna
sns.set_context("poster")
dat = pd.read_pickle... |
def cut_fruits(fruits):
output = []
for x in fruits:
if x in FRUIT_NAMES:
di = (len(x)+1)//2
output.append(x[:di])
output.append(x[di:])
else:
output.append(x)
return output
'''
Description
You are a Fruit Ninja, your skill is cutting frui... |
# coding: utf-8
import os
import time
import numpy as np
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class DaycareCenter(db.Model):
__tablename__ = 'daycare_center'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.Integer, nullable=False)
chief_staff_name = db.Column(... |
import logging
import pymc3 as pm
import theano.tensor as tt
from theano.compile.ops import as_op
import numpy as np
from scipy import stats
logger = logging.getLogger('root')
# TODO has to be tested with sample data, to make sure that it works properly.
def add_inv_logit_normal_model(hierarchical_model):
raise Not... |
from django.shortcuts import render,redirect
from django.template.response import TemplateResponse
from shinelaundry.models import slider,image,faq,services_info,index_image,personal_info,whychooseus,socialmediaaccount
from django.core.mail import send_mail
from django.conf import settings
from django.core.mail impor... |
from arago.actors.routers.on_demand.on_demand_router import OnDemandRouter
|
#!/usr/bin/python
import os
import sys
import pickle
import signal
import urllib2
from datetime import datetime
try:
from xml.etree import ElementTree
except ImportError:
from elementtree import ElementTree
cache_dir='/var/lib/bdii/gip/cache/gip/top-urls.conf/'
cache_file = "/var/cache/fcr/exclude.ldif"
sam_url ... |
import os
import glob
import shutil
current_directory = os.path.dirname(os.path.abspath(__file__))
# deletar arquivos
# os.chdir('fakefolder')
# # print(os.getcwd())
# files = glob.glob('*.txt')
# for file in files:
# print(file)
# os.unlink(file)
# deletar pastas
shutil.rmtree(current_directory + '/fakefolder... |
import dash_bootstrap_components as dbc
from dash import html
items = [
dbc.DropdownMenuItem("Item 1"),
dbc.DropdownMenuItem("Item 2"),
dbc.DropdownMenuItem("Item 3"),
]
dropdowns = html.Div(
[
dbc.DropdownMenu(
items, label="Primary", color="primary", className="m-1"
),
... |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_admin import Admin
from flask_admin.contrib.sqla import ModelView
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///admin.sqlite3'
app.config['SECRET_KEY'] = 'myflaskkey'
app.config['FLASK_ADMIN_SWATCH'] = 'flatly'
db =... |
from .GistPagination import *
|
import pandas as pd
"""
Copying and pasting dataframes from stackoverflow is something
that I do a lot, so I made something that makes it easy to convert
into a pandas dataframe.
"""
def from_stack(string):
"""Returns a pd.DataFrame object from string.
string (string): String version of dataframe.
"... |
"""
Copyright (c) Django Software Foundation and individual contributors.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
... |
#!/usr/bin/python3
def print_matrix_integer(matrix=[[]]):
for i in range(0, len(matrix)):
for j in range(0, len(matrix[i])):
print("{:d}".format(matrix[i][j]), end="")
if ((j + 1) != len(matrix[i])):
print("{:s}".format(" "), end="")
print("{:s}".format("\n"),... |
import csv
import heapq
import os
import random
import itertools
from collections import deque
from igraph import *
from utils.graph_jaccard_similarity import graph_jaccard_similarity, bitmask_file_parser, \
jaccard_all_pairs_similarity_file_parser, jaccard_top_k_similar_hashtags, medrank_algorithm
from utils.vecto... |
# class Solution:
# def isValid(self, s: str) -> bool:
# known = {")":"(", "}":"{", "]":"["}
# stack = []
# for i in s:
# if i in known.values():
# stack.append(i)
# else:
# if stack:
# t = stack.pop()
# ... |
"""
Дано семизначное число. Найдите сумму квадратов четных и нечетных цифр.
"""
number = int(input("Введите семизначное число \n"))
num1 = number % 10
num2 = number % 100//10
num3 = number % 1000//100
num4 = number % 10000//1000
num5 = number % 100000//10000
num6 = number % 1000000//100000
num7 = number % 10000000//10... |
shops = input().split()
number_command = int(input())
for _ in range(number_command):
command_input = input().split()
command = command_input[0]
if command == "Include":
shop = command_input[1]
shops.append(shop)
elif command == "Visit":
first_last = command_input[1]
n... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'design.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
def _fromUtf8(s):
... |
# -*- coding: utf-8 -*-
# @Author: Fallen
# @Date: 2020-04-21 21:58:18
# @Last Modified by: Fallen
# @Last Modified time: 2020-04-21 22:22:49
# # 定义一个用户类,用户名和密码是这个类的属性,实例化两个用户,分别有不同的用户名和密码
# # 设计一个方法 修改密码
# # 你得先登录才能修改密码
import time
import os
def auth(f):
def inner(*args,**kwargs):
if login():
ret = f(*a... |
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