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from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.debug = True
app.config.from_object('config')
db = SQLAlchemy(app)
#if not app.debug:
# import logging
# from logging.handlers import RotatingFileHandler
# error = RotatingFileHandler('tmp/error.log', 'a', 1 * 1024 ... |
#!/usr/bin/env python3
""" Python typing annotations """
from typing import Sequence, Union, Any, TypeVar, Mapping
T = TypeVar('T', bound=Any)
def safely_get_value(dct: Mapping,
key: Any,
default: Union[T, None] = None) -> Union[Any, T]:
""" Generics """
if key in... |
class SwaggerDocumentationError(Exception):
"""
Custom exception raised when package tests fail.
"""
pass
class CaseError(Exception):
"""
Custom exception raised when items are not cased correctly.
"""
pass
class OpenAPISchemaError(Exception):
"""
Custom exception raised fo... |
import numpy as np
import glob
import pandas as pd
import os
import time
from tqdm.auto import tqdm
from .misc import dfMirror
########################################################################################################################
# it's best to use asciiToDfMulti() (which exploits this asciiToDf())... |
from datetime import datetime
import os
#reinvertimos la fecha
def inv_fecha(fech):
fechn = datetime.strptime(fech,'%d/%m/%Y')
return datetime.strftime(fechn,'%Y-%m-%d')
#se hace el calculo del Bono1 y Bono2
def pagar(basesueldo,h,v1,v2):
if int(h) <= 5:
SuelNu= float(basesueldo) + float(b... |
import sys
import numpy as np
import cv2
import qnn_utils
from enum import Enum
from termcolor import colored, cprint
np.set_printoptions(threshold=sys.maxsize)
NUMBER_LINE = 'โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค'
# Option
use_ReLU = True
class Inference(Enum):
FP32 = 1
INT8 =... |
from googlesearch import search
from threading import Thread
from bs4 import BeautifulSoup
from clint.textui import progress
import urllib2
import requests
import sys
import os
import time
import itertools
flag = 0
def progess():
global flag
sys.stdout.write("Searching...")
for c in itertools.cycle('/-\... |
import sys
from PyQt5.QtWidgets import QApplication,QMainWindow
from handn import *
class HanyuForm(QMainWindow,Ui_MainWindow):
def __init__(self,parent = None):
super(HanyuForm,self).__init__(parent)
self.setupUi(self)
if __name__ == '__main__':
QtCore.QCoreApplication.setAttribute(... |
# -*- coding: utf-8 -*-
# @PRODUCTION MODULE
__author__ = "radek.augustyn@email.cz"
import time
import psycopg2
import pygeotoolbox.sharedtools.log as log
import pygeotoolbox.sharedtools.config as config
from pygeotoolbox.sharedtools import setParameters, Container
from base import DatabaseTemplate
config.registe... |
from __future__ import unicode_literals
from django.db import models
from django.contrib import admin
# Create your models here.
class Description(models.Model):
name = models.CharField(max_length=50)
description = models.CharField(max_length=100)
def __unicode__(self):
return self.name
class Education(models.M... |
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
import os
path = "/home/feng/darknet/data/cele_A/ac/img_celeba/" #ๆไปถๅคน็ฎๅฝ
files= os.listdir(path) #ๅพๅฐๆไปถๅคนไธ็ๆๆๆไปถๅ็งฐ
s = [[],[],[]]
count = 0
for file in files:
s[0].append(file)
img=Image.open(path + file)
s[1].append(img.size[0])
s[... |
from dec_tree import *
from pre_processor import *
import sys
# Names of the two datasets we are using
bank_attr_names = ['age', 'job', 'marital', 'education', 'default', 'balance', 'housing', 'loan', 'contact', 'day',
'month', 'duration', 'campaign', 'pdays', 'previous', 'poutcome', 'y']
car... |
# import funkcji z innego moduลu
from Zadanie7ocenyfun import drukuj, srednia, mediana, odchylenie
przedmioty = set() #definicja pustego zbioru
oceny = [] #definicja pustej listy ocen
drukuj(przedmioty, "Lista przedmiotรณw: ")
#wprowadzanie przedmiotรณw przez uzytkownika
print("\nWciลniฤcie Enter powoduje przerwanie wp... |
# -*- coding:utf-8 -*-
"""
OKEx Future Trade module.
https://www.okex.me/docs/zh/
NOTE: Only Cross Margin Mode is supported in Trade module currently. Please change Margin Mode to `Cross`, not `Fixed`!
Author: HuangTao
Date: 2019/01/19
Email: huangtao@ifclover.com
"""
import time
import zlib
import json
import c... |
# allows to import own functions
import sys
import os
import re
root_project = re.findall(r'(^\S*TFM)', os.getcwd())[0]
sys.path.append(root_project)
from src.utils.help_func import results_searchcv,plot_predictions,\
errors_distribution, plot_visualizations, get_model_data
from sklearn.model_selection import Grid... |
import FileUtil
import FeatureExtractor
import math
################## Notes #####################
# What is tq_0, t_q, and t_i?
# How do you obtan the desired output vectors?
##############################################
sigma = 3.5 #d_max
numOfFeatureVectors = 0
def getAverageVector(author):
x = []
artic... |
from PIL import Image
import numpy as np
import scipy.misc
"""
AUTHOR: Himanshu Sharma
TITLE: Bit Plane Generator
==========================
"""
def generateGray(bit):
'''
Returns white or black value depending on the bit plane.
'''
bit = str(bit)
if bit == '1':
... |
import numpy as np
def gen():
vals = [100, 50, 30, 20]
results = [1, 5, 3, 2]
x_train = []
y_train = []
cnt = 0
for val in vals:
for addval in vals:
x_set = []
y_set = []
x_set.append(val)
x_set.append(val)
x_set.append(addval... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
import numpy as np
import soft_renderer.cuda.standard_rasterize as standard_rasterize_cuda
def standard_rasterize(face_vertices, image_size=256):
if face_vertices.device == "cpu":
raise TypeError('Raster... |
from ipaddress import ip_network
from random import choice
def genv6(n):
print('generating {} addresses...'.format(n))
current_net = ip_network('1234:1234::/30')
i = 0
output = []
for net in current_net.subnets(new_prefix=56):
if choice(range(30)) > 10:
output.append(net)
... |
## Heap Sort
def heapsort(alist):
# Convert the list into heap:
# each node is lower than each of its parent i.e max-heap
# the tree is pertectly balanced
# all leaves are in the leftmost position available.
length = len(alist) - 1
leastParent = length / 2
for i in range(leastParent, -1, -1):
moveDown(alist... |
from __future__ import generators
import config.package
class Configure(config.package.Package):
def __init__(self, framework):
config.package.Package.__init__(self, framework)
self.includes = ['cusp/version.h']
self.includedir = ['','include']
self.forceLanguage = 'CUDA'
self.cxx ... |
# ๆๆฌ้ข่ฒ่ฎพ็ฝฎ
print('\033[1;31m')
print('*'*10)
print('hello world๏ผ')
print('*'*10)
print('\033[0m')
# ็ปฟ่ฒๅญไฝ
print('\033[1;32m'+'green'+'\033[0m')
# ่่ฒๅญไฝ
print('\033[1;34m'+'blue'+'\033[0m')
# ้ปๅญไธๅ็บฟ
print('\033[4;33m'+'yellow'+'\033[0m')
# ็บขๅบ้ปๅญ
print('\033[1;30;41m'+'black'+'\033[0m')
# ็ฝๅบ้ปๅญ
print('\033[1;30;47m'+'white... |
from django.shortcuts import render
from django.template import Context, loader, Template
from django.http import HttpResponse
from backend import collect
from analyse import analyse,build_markers
from .models import *
import threading,time
from django.db import connection
cursor = connection.cursor()
class collectTh... |
# https://hwwong168.wordpress.com/2019/09/25/esp32-micropython-implementation-of-cryptographic/
import uos
from ucryptolib import aes, MODE_CBC
g_iv1 = b"1234567812345678"
g_iv2 = bytes("1234567812345678", "utf8")
def p_example1_hard_coded1(key, data):
cipher = aes(key, MODE_CBC, b"1234567812345678")
cipher_... |
import csv
def prob_dist(int1, int2, n):
#int1 is a pair or list [a1, b1] of integers
#int2 is a pair or list [a2, b2] of integers
#n is the resolution
#we calculate the probability that randomly
#chosen numbers from int1 and int2 are at least
#distance n apart.
a1 = int1[0]
a2 = int2[... |
S=[]
print("Welcome to the bubble sort algorithm")
i=1
while i<8:
num=input("Please enter a number:")
if num!=int:
print("Invalid entry try again.")
break
else:
S.append(num)
i=i+1
N=len(S)
swapped=True
while swapped==True:
swapped=False
for x in rang... |
#!/usr/bin/python3
import subprocess
import sys
CLIENTS_PROP = "clientsnode"
SERVERS_PROP = "serversnode"
def run_with_log_and_exit(cmd):
print(f"RUNNING | {cmd}")
ret = subprocess.run(cmd, shell=True)
if ret.returncode != 0:
print(f"{cmd} returned {ret.returncode}")
exit(ret.returncode)
... |
'''
่ฃ
้ฅฐๅจ
็ฑไบๅฝๆฐไนๆฏไธไธชๅฏน่ฑก๏ผ่ไธๅฝๆฐๅฏน่ฑกๅฏไปฅ่ขซ่ตๅผ็ปๅ้๏ผๆไปฅ๏ผ้่ฟๅ้ไน่ฝ่ฐ็จ่ฏฅๅฝๆฐใ
ๅฝๆฐๅฏน่ฑกๆไธไธช__name__ๅฑๆง๏ผๅฏไปฅๆฟๅฐๅฝๆฐ็ๅๅญ๏ผ
็ฐๅจ๏ผๅ่ฎพๆไปฌ่ฆๅขๅผบnow()ๅฝๆฐ็ๅ่ฝ๏ผๆฏๅฆ๏ผๅจๅฝๆฐ่ฐ็จๅๅ่ชๅจๆๅฐๆฅๅฟ๏ผไฝๅไธๅธๆไฟฎๆนnow()ๅฝๆฐ็ๅฎไน๏ผ่ฟ็งๅจไปฃ็ ่ฟ่กๆ้ดๅจๆๅขๅ ๅ่ฝ็ๆนๅผ๏ผ็งฐไนไธบโ่ฃ
้ฅฐๅจโ๏ผDecorator๏ผใ
ๆฌ่ดจไธ๏ผdecoratorๅฐฑๆฏไธไธช่ฟๅๅฝๆฐ็้ซ้ถๅฝๆฐใๆไปฅ๏ผๆไปฌ่ฆๅฎไนไธไธช่ฝๆๅฐๆฅๅฟ็decorator๏ผๅฏไปฅๅฎไนๅฆไธ๏ผ
'''
def log(func):
def wrapper(*args, **kw):
print(... |
# Generated by Django 3.1 on 2020-11-28 20:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('classrooms', '0002_classroom_creator'),
('users', '0004_auto_20201128_1628'),
]
operations = [
migrations.RemoveField(
mod... |
import numpy as np
from .Base_Automaton import Base_Automaton
class F3_Fly(object):
def __init__(self, garden, id_no, gender, orientation):
self.G = garden # the F3_Garden object
self.id_no = id_no # a reference number to identify this fly
self.gender ... |
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
from CA import CoordAtt
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50': 'https://download.pytorch.org/models/resnet50-... |
import re
from typing import List, Union, Optional, Generator, TypeVar, Iterable, Iterator
from . import LineInterface, Comment as oldComment, LineError, NoOptionError, UnitBase
class NoSectionError(Exception):
"""ะัะบะปััะตะฝะธะต, ะฒะพะทะฝะธะบะฐััะตะต ะฟัะธ ะพััััััะฒัััะตะน ัะตะบัะธะธ."""
def __init__(self, section: str):
... |
#!/usr/bin/env python
"""
This is a basic example of how to use the swiftradio library to
fetch radio telemetry information from a SWIFT-SDR and print the information
to the console. The SwiftRadioClient class is used to connect to a Swift-SDR
unit, execute the 'sysstat' command and then process and print the received
... |
# -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['test_BatchCompiler_1 1'] = {
'b/c/base': '''head:
base - head
body:
base - body
''',
'b/f2': '''f2 -- BBB
There out her child sir... |
from cascade.input_data.configuration.form import Configuration
from flask import Blueprint, abort, jsonify, request
bp = Blueprint("service", __name__)
@bp.route("/", methods=("POST",))
def validate():
if not request.is_json:
abort(406)
raw_settings = request.get_json()
settings = Configuration(... |
# 5. Lambda Functions - Anonymous function
# simple function
def func(x):
return x + 5
# lambda inside function
def func3(x):
func4 = lambda x: x + 10
return func4(20)
func2 = lambda x: x + 5 # simple lambda
func5 = lambda x, y: x + y # lambda with 2 variables
func6 = lambda x, y=5: x * y # lambda w... |
'''
@author: Necro
'''
import tensorflow as tf
import numpy as np
xdata = np.random.rand(100).astype(np.float32)
ydata=0.3*xdata+0.1
weight=tf.Variable([0.])
bias=tf.Variable([0.])
y=weight*xdata+bias
#loss=tf.reduce_mean(tf.square(y-ydata))
loss=tf.losses.mean_squared_error(y, ydata)
# optimizer=tf.train.GradientD... |
from django.conf.urls import url
from . import views
urlpatterns = [
#login START
url(r'^$', views.index),
url(r'^home$', views.home),
url(r'^login$', views.login),
url(r'^create$', views.create),
url(r'^success$', views.success),
url(r'^logout$', views.logout),
#login END
url(r'^ad... |
#!/usr/bin/env python3
#
# # +type xyc
# # - x are strings correspondig to centers of the violins (as if individual bars in a barplot)
# # - y is the y-axis placement
# # - c is [0-1] value indicating the shade
# cat xyc.txt | mplot sina +type xyc
# snv 10 0.5
# snv 100 1
# sn... |
import utils as u
import QUtils as qu
import numpy as np
import multiprocessing as mp
import scipy.fftpack as sp
import time
import matplotlib.pyplot as plt
import pickle
from numpy import linalg as LA
import scipy.stats as st
import sys
import yt; yt.enable_parallelism()
import sys
simName = "Gr_r2"
decimate = 2... |
count = 0
maxcount = 0
def prime(n):
if n % 2 == 0 and n > 2:
return False
for i in range(3, int(n/2 + 1), 2):
if n % i == 0:
return False
return True
def getFactor(n,factors):
i = 2
while i * i <= n:
if n % i:
i += 1
else:
n //=... |
def isPalindrome(s):
"""
:type s: str
:rtype: bool
"""
abc = 'asdfghjklqwertyuiopzxcvbnm'
t=''
t=t+x for x in s.lower() if x in abc
return t[::-1] == t
st="A man, a plan, a canal: Panama"
print(isPalindrome(st))
|
from rest_framework import serializers
from computerapp.models import Product,Manufacturer,Category,UserProfile,DeliveryAddress,Order
from django.contrib.auth.models import User
class UserProfileSerializer(serializers.ModelSerializer):
class Meta:
model = UserProfile
fields = ('id','user','mobile_phone','n... |
from django.shortcuts import render
from first_app import models,forms
#from django.http import HttpResponse
# Create your views here.
word=""
wordscount={}
def home(request):
#return HttpResponse("hello")
return render(request,"html/home.html")
def wordcounthome(request):
#return HttpResponse("hello")
return rende... |
from django.shortcuts import render
from .models import Pixel
from django.db import models
def home(request):
pixels = Pixel.objects.all()
context = {
'pixels':pixels
}
return render(request, 'pixels/home.html', context)
def search_results(request):
if 'pixel' in request.GET and request.... |
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
SQLALCHEMY_DATABASE_URI = "sqlite:///./DB.db"
engine = create_engine(SQLALCHEMY_DATABASE_URI)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declara... |
f = open('/home/sezim/zadachi/rabota_s_files/users.txt', 'w')
name = input("Vedite login: ")
password = input("Vvedite password: ")
f.write(f"login: {name} \nPassword: {password}")
f.close()
|
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 3 18:49:26 2014
@author: anneubuntu
"""
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 2 00:32:11 2014
@author: anneubuntu
"""
import pygame
import math
from pygame.locals import *
import random
import time
from abc import ABCMeta, abstractmethod
import planes
from p... |
# Generated by Django 3.0.3 on 2020-04-14 09:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('competition_calendar', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='distance',
name='distanc... |
from abc import ABC, abstractmethod
from data.field import Field
import numpy as np
class Predictor(ABC):
@abstractmethod
def train(self, features: [Field], responses: [Field], **kwargs):
pass
@abstractmethod
def predict(self, features: [Field]) -> np.array:
pass
@abstractmethod... |
from ga_init import *
maxgen = 5
npool = 5
pmut = 0.15
ncross = 2
t1 = initialize_GA_calc(npool,ncross,pmut,maxgen)
|
# -*- coding: utf-8 -*-
"""
Created on Wed May 10 10:52:00 2017
@author: kkonudul
"""
from random import randint, random
import matplotlib.pyplot as plt
def individual(length, min, max):
return [randint(min, max) for x in range(length)]
#individual(5, 0,100)
def population(count, length, min, max):
# Creat... |
from django import forms
class FilterForm(forms.Form):
filter = forms.ChoiceField(choices=[(1, "True pairs"), (0, "Not pairs"), (-1, "No Filter")],
widget=forms.RadioSelect(
attrs={'onchange': 'form.submit()',
... |
# ClearML - Fastai example code, automatic logging the model and scalars
#
import argparse
from clearml import Task
import fastai
try:
from fastai.vision import untar_data, URLs, ImageDataBunch, rand_pad, imagenet_stats, cnn_learner, models, accuracy
except ImportError:
raise ImportError("FastAI version %s i... |
'''
Script to get events information from CATALOG obspy
(https://docs.obspy.org/packages/autogen/obspy.clients.fdsn.client.Client.get_events.html)
'''
import numpy as np
from obspy import UTCDateTime
import os
import json
from obspy import read_events
from obspy.clients.fdsn import Client
from parameters_py.config im... |
import cv2
import sys
import os
import sys
sys.path.insert(0, 'Yolo')
from yolo import use_yolo
path = "Annotator/Videos/" # set path for video directory
selection = []
def check_file(vid, class_name):
try:
with open(path+class_name+"_log.txt", "r") as f:
for line in f:
li... |
@cherrypy.expose
def connect(self):
return """<html>
<head><title>Connect Server</title></head>
<body>
<form method="get" action="connecting">
server:<br>
<input type="text" name="_server"><br>
port:<br>
<input type="text" name="_port"><br>
<... |
import pygame
from pygame.locals import (K_DOWN, K_LEFT, K_RIGHT, K_UP)
class Player(pygame.sprite.Sprite):
def __init__(self, x: int,
y: int,
width: int,
height: int,
color: (int, int, int),
vel: int = 3):
super(Player, ... |
# Code for beta-VAE
# Paper: https://openreview.net/forum?id=Sy2fzU9gl
from abc import ABC
import torch
from torch import Tensor
from torch import nn
from torch.nn import functional as F
from . import ConvNet, GaussianLayer, GenerativeAE, UpsampledConvNet, FCBlock, DittadiConvNet, DittadiUpsampledConv
from .utils imp... |
class words_filter():
def __init__(self, str1):
self.lis3 = ""
for i in str1:
if i != '\n' and i != '\t':
self.lis3 = self.lis3 + i
else:
pass
def output(self):
return self.lis3
|
"""Path utilities based on :mod:`posixpath`.
:func:`normpath` has been modified not to allow relative paths.
:mod:`posixpath` is part of the Python standard library, and is licensed under
the `Python Software Foundation License <http://docs.python.org/license.html>`_,
which can be linked with libraries of other licen... |
'''
CS370 Assignment 8
Solves ProjectEuler #82
Taylor He, Jacob Manzelmann, Tommy Osterman
I pledge my honor that I have abided by the Stevens Honor System
'''
import sys
def backtrack(matrix, dp_matrix, row):
'''Backtracks the matrix, starting at the given row'''
col = len(matrix) - 1
path = []
while ... |
from django.db import models
from django.utils.timezone import now
# Create your models here.
class Template(models.Model):
docfile = models.FileField(upload_to='templateuri/%Y/%m/%d/')
filename = models.CharField(max_length=100, null=True, blank=True)
created_on = models.DateTimeField(blank=False, defa... |
class WrongDocumentUpdateStrategy(Exception):
pass
class DocumentNotFound(Exception):
pass
class DocumentAlreadyCreated(Exception):
pass
class DocumentWasNotSaved(Exception):
pass
|
import xml.etree.cElementTree as ET
import codecs
import pprint
import json
import re
import audit #local *.py file
import os
#Set the proper current working directory
os.getcwd()
os.chdir('C:/Users/sheethal/Desktop/DWMDB')
lower = re.compile(r'^([a-z]|_)*$')
lower_colon = re.compile(r'^([a-z]|_)*:([a-z]... |
from gym.envs.registration import register
register(
id='{{cookiecutter.env_name}}-v0',
entry_point='gym_{{cookiecutter.env_name.lower()}}.envs:{{cookiecutter.env_name}}Env',
)
|
#! /usr/bin/python
import naive_bayes_EM
import os,sys,getopt,random,csv
import numpy as np
from data_utilities import countData,readData,random_gen
DATAPATH="/home/wei/data_processing/data/car/car.data"
DATAPATHS=['data/car/car.unacc.data','data/car/car.acc.data','data/car/car.good.data','data/car/car.vgood.data']... |
import mlconf
nested = {'a':{'c': 1, 'd': (2, {'a': 3}), 'e': {'f': 3, 'g': 4}}, 'b': 5}
flat = {'a.c': 1, 'a.d': (2, {'a': 3}), 'a.e.f': 3, 'a.e.g': 4, 'b': 5}
def test_to_flat_dict():
f = mlconf.to_flat_dict(nested)
assert(f == flat)
def test_to_flat_on_flat():
f = mlconf.to_flat_dict(flat)
asser... |
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name๏ผ bullet
Description :
Author : zhengbin
date๏ผ 2019/11/11
-------------------------------------------------
Change Activity:
2019/11/11:
-------------------------------------------... |
import copy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
class Simulator:
def __init__(self, world_map, robots):
"""
Inputs:
map_gt: The map to be explored
robot: the Robot object from RobotClass.py
"""
self.map = copy.deep... |
print("Substraction of two integers!!!\n")
x = int(input("Please enter the first number: "))
y = int(input("please enter the second number: "))
z = x-y
print("Substraction is: ",z)
|
# coding=utf-8
"""
@author: mirrorChen
@license: (C) Copyright 2011-2018, mirror personal Limited.
@contact: chenjingxu3@dafycredit.com
@software: JY_Android_AT
@file: add.py
@time: 2019/6/26 19:34
@desc:
"""
import time, datetime
import pymysql.cursors
import random
from excel_pub import ExcelUtil
mysql_info = {"ho... |
import numpy as np
# constants for strategies
SELL = 0
BUY = 1
# annual average market return (expected)
RISK_FREE_RATE = 0.07
####################################
# Strategies #
####################################
# Contract:
# each strategy function must produce a
# tuple of buys and sells
... |
from rest_framework import serializers
from sale.models import Sale, SaleProduct
from user.models import User
class SaleSerializer(serializers.ModelSerializer):
class Meta:
model = Sale
fields = '__all__'
class SaleProductSerializer(serializers.ModelSerializer):
class Meta:
model = ... |
#-------------------------------------------------------------------------------
# Name: hangman
# Purpose:
#
# Author: D.Kiselevsky
#
# Created: 26.05.2020
# Copyright: (c) D.Kiselevsky 2020
# Licence: GPL
#-------------------------------------------------------------------------------
def main(... |
import json
import os
import numpy
from datetime import datetime
from shutil import rmtree
import keras
import keras_applications
keras_applications.set_keras_submodules(
backend=keras.backend,
engine=keras.engine,
layers=keras.layers,
models=keras.models,
utils=keras.utils)
from keras_applicatio... |
import logging
import re
import ipaddress
import datetime
import broker
import broker.bro
from select import select
from enum import Enum, unique
logger = logging.getLogger(__name__)
def convertRecord(name, m):
if not isinstance(m, list):
logger.error("Got non record element")
rec = m
elements =... |
import pygame
import sys
from settings import Settings
from board import Board
class ChessGame:
def __init__(self):
pygame.init()
self.settings = Settings()
self.screen = pygame.display.set_mode((self.settings.screen_width, self.settings.screen_height))
pygame.display.set_caption... |
from HTTPServer.httpserver import *
from HTTPServer.httpserver_thread import *
from SA.Tree import *
if __name__ == '__main__':
# Iniciando o diretorio raiz e o conteudo do arquivo
snake = Tree('snake', 'rarararororoelatemehumaso')
# Iniciando o server no localhost na porta 8888
# se quiser outra port... |
import re
import os
import json
import socket
from subprocess import Popen, PIPE, check_output, CalledProcessError
import base64
HOST, PORT = '', 8080
#https://docs.python.org/fr/3/howto/sockets.html
#INET:IPV4, STREAM:TCP
#By default, sockets are always created in blocking mode
listen_socket = socket.socket(socket.A... |
from scipy import stats
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
import pickle
import os
import random
from matplotlib import pyplot as plt
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.svm import SVC, LinearSVC
from sklearn.feature_extraction.text impor... |
--- setup.py Mon Oct 4 05:39:34 2004
+++ setup.py.new Tue Oct 5 09:22:31 2004
@@ -29,7 +29,7 @@
],
packages = ['cfgparse'],
data_files = [
- ('share/doc/cfgparse-%s' % VERSION, ['README', 'LICENSE-PSF',
+ ('share/doc/py-cfgparse', ['README', 'LICENSE-PSF',
... |
from django.http import HttpResponse
from django.shortcuts import redirect,render
from django.http import HttpResponseRedirect
from django.shortcuts import render_to_response
from techquiz.models import user
from django.contrib import auth
from django.template.context_processors import csrf
from django.views import gen... |
__author__ = 'Bill'
class Board:
"""
Class for the Connect 5 Game Board. The Board is always a 7 long by
9 high. A board always remembers the last move made.
"""
# Class Constants
BLANK_SPACE = "_" # Blank Space
PLAYER_ONE = "R" # Red Chip
PLAYER_TWO = "B" # Black Chip
BOARD_HE... |
import json
import os
import asyncio
import discord
from discord import Permissions
from discord.ext import commands
from datetime import datetime
import utils
import io
from utils.Utility import clean_code, Pag
import contextlib
from traceback import format_exception
import ast
import importlib
import te... |
from pandas import DataFrame
from typing import Callable, List
from snapshottest.pytest import PyTestSnapshotTest
from tests.model.lib import helper_descriptive_stats_groupby, helper_filesnapshot, helper_descriptive_stats
from saitama_data.datasetup.models.info import ClassIdSchoolId, City, SchoolQestionInfo
from saita... |
def recursive_x(x, caminho):
if caminho > x:
pass
else:
print(caminho)
caminho += 2
recursive_x(x, caminho)
def main():
x = int(input())
recursive_x(x, 1)
main() |
from random import randint
from time import sleep
n = int(input('Digite um valor entre [1 e 5]: '))
s = randint(1, 5)
print('Processando!')
sleep(3)
if n >= 1 and n <= 5:
if n == s:
print('Parabens! Nยบ Sorteado {} / Nยบ Escolhido {}'.format(s, n))
else:
print('Infelizmente nรฃo deu! Nยบ Sorteado... |
#!/usr/bin/env python
__coding__ = "utf-8"
__author__ = " Ng WaiMing "
from pandas import DataFrame, Series
import pandas as pd
import numpy as np
import statsmodels.api as sm
from matplotlib import pyplot as plt
def peak_to_peak(arr):
return arr.max() - arr.min()
def demean(arr):
return arr - arr.mean()
... |
import random
import turtle
import time
lifespan = 200 #This is how long each rocket will live
popSize = 10 #This is how many rockets is there
speed = 10 #This will be how fast the rocket will be, it can move in a 20 pix radius
screen = turtle.Screen... |
#!/usr/bin/env python
# encoding: utf-8
"""
@author: Wayne
@contact: wangye.hope@gmail.com
@software: PyCharm
@file: Find the Smallest Divisor Given a Threshold
@time: 2019/12/9 15:46
"""
class Solution:
def smallestDivisor(self, nums, threshold):
l, r = 1, max(nums)
while l < r:
m = ... |
import socket, sys, time, platform, struct
from PyQt4 import QtGui, QtCore
def ip(self, packet, extractedAttIndex, printKey):
# Header lengths.
ethHeaderLength = 14
ip_hlen = 20
# Get IP header using begin and end.
# Specific Linux and Windows calibration is needed.
if self.os == self.windows:
begin ... |
from aws_parsecf.parser import Parser
import boto3
import json
import yaml
def load_json(stream, default_region=boto3.Session().region_name, parameters={}):
return _load(json.load(stream), default_region, parameters)
def loads_json(string, default_region=boto3.Session().region_name, parameters={}):
return _lo... |
from django.urls import path
from . import views
urlpatterns = [
path("buyerHome", views.buyerHome, name="buyerHome"),
path("bidderHome", views.bidderHome, name="bidderHome"),
path("help", views.help, name="help"),
]
|
import json
from flask import jsonify, request, abort
from marshmallow import ValidationError
from api.db import db
from api.utils.utils import SUBSECTIONS_GAME
from api.views.validate import validate
from api.db.model import PageSchema, FilterSchema
from api.utils.authorizers import require_api_key
def _process_res... |
#This program is to calculate the Area of a Cylinder
from math import pi
radius = float(input("Enter a value for radius: "))
height = float(input("Enter a value for heigh: "))
Area = (2*pi*radius**2)+height*(2*pi*radius)
print("Area of the Cylinder is ", round(Area,4))
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations ... |
import requests
## 2015 - 2016 : https://www.liberty.edu/media/1270/dcps/1516/
## 2016 - 2019 : https://www.liberty.edu/media/1270/
base_url = "https://www.liberty.edu/media/1270/"
pdf = '.pdf'
def download_pdf(my_url, file_name):
r = requests.get(my_url, stream=True)
with open('PDF/DCP 2018 - 2019/' +... |
# Napisz program, ktรณry przyjmie od uลผytkownika dwie liczby (a i b).
# Wypisz informacjฤ ktรณra z nich jest wiฤksza w postaci:
#
# a jest wiฤksze!
print(" w tym cwiczeniu bedziemy porownywac liczby")
a = int(input("prosze podaj liczbe a"))
b = int(input("prosze podaj liczbe b"))
if a > b:
print(" a jest wi... |
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