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from django.conf.urls import url from . import views urlpatterns = ( url('^$', views.landing, name='landing'), url('^about$', views.about, name='about'), url('^faq$', views.faq, name='faq'), url('^contact$', views.contact, name='contact'), url('^terms-and-conditio...
#!/usr/bin/env python import sys import logging import time import simpleaudio import csv from beepy import beep from tqdm import tqdm from colorama import Fore from typing import List from time import sleep from sylo.models import ( Durations, Database, Config, ConfigFile, ) from sylo.definitions impor...
#!/usr/bin/env python # Copyright (c) Microsoft. All rights reserved. # Licensed under the MIT license. See LICENSE file in the project root for # full license information. import pytest import random import connections import environment from adapters import print_message as log_message from edgehub_control import (...
# -*- coding: utf-8 -*- # Generated by Django 1.9.2 on 2016-09-09 03:41 from __future__ import unicode_literals import datetime from django.db import migrations, models from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('convention', '0001_initial'), ] ...
InfuraProjectId = '1761beb5aae7459b83afd64e8f1003fc' import os os.environ['WEB3_INFURA_PROJECT_ID'] = InfuraProjectId from web3.auto.infura import w3 print(w3.isConnected()) address = '0xDE9d2de48969B86826da4336F389c21e2d1c9812' privateKey = '0x48bd694bbfd4f2816b4355776d3c403449d95298a0cc4835e0372447013e84de' w3.et...
# Exercício Python 066: Crie um programa que leia números inteiros pelo teclado. O programa só vai parar # quando o usuário digitar o valor 999, que é a condição de parada. No final, mostre quantos números foram # digitados e qual foi a soma entre elas (desconsiderando o flag). count = sum = number = 0 while True: ...
#!/usr/bin/env python2 # coding: UTF-8 import rospy, unittest, rostest import rosnode import time class TestRefereeReceiver(unittest.TestCase): def test_node_exist(self): nodes = rosnode.get_node_names() self.assertIn('/referee_receiver', nodes, 'node does not exist') if __name__ == '__main__': ...
import logging import logging.handlers import time from PyTango.server import run, device_property from PyTango.server import Device, DeviceMeta from PyTango.server import attribute, command import PyTango import datetime logger_dict = {} class FileLogger(Device): __metaclass__ = DeviceMeta log_path = dev...
import re from typing import List, Optional, Tuple, Union import attr import pendulum # type: ignore from bs4 import BeautifulSoup # type: ignore from bs4.element import Tag # type: ignore from furl import furl # type: ignore from requests import Response from pyffdl.sites.story import Story from pyffdl.utilities...
class Solution: def findComplement(self, num): """ :type num: int :rtype: int """ flip = lambda x:'1' if x=='0' else '0' data = ''.join([flip(x) for x in bin(num)[2:]]) return int(data, 2)
#! /usr/bin/env python3 # # Florian Streibelt <florian.streibelt@streibelt.net> import sys import argparse import time import irc.client import jaraco.logging import logging from ircbgp import __version__ as libversion __version__ = libversion class BGP: def __init__(self, channels, asn, prefixname): ...
# automatically generated by the FlatBuffers compiler, do not modify # namespace: proto class AuthMode(object): FIRST = 0 MULTIFACTOR = 1
import BLE_CF import time from PyObjCTools import AppHelper # BLE import objc # BLE import struct #send from multiprocessing import Pool objc.loadBundle("CoreBluetooth", globals(), bundle_path=objc.pathForFramework( u'/System/Library/Frameworks/CoreBluetooth.framework/Versions/A/Co...
#!/usr/bin/env python __author__ = "XXX" __email__ = "XXX" import os from pathlib import Path import numpy as np import shutil from tensorflow import keras class EarlyStoppingHandlerTensorFlow: """ TensorFlow Early Stopping Handler Early stopping handler stop training when the watched metric is not imp...
import pyttsx3 #init the TTS TTS = pyttsx3.init() TTS.setProperty('rate', 150) #string to speak text = "pythonexplainedto.me" TTS.save_to_file(text,text+".mp3") #run the TTS TTS.runAndWait()
import matplotlib import pandas as pd import numpy as np import pickle import urllib.request import dateutil.parser import dateutil.rrule import dateutil.tz import datetime import warnings import matplotlib.pyplot as plt import matplotlib.dates as mdates import matplotlib.patheffects as pe import matplotli...
# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # 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 applica...
装饰器 import functools 外层方法(): before 方法 方法() after 方法 1. 函数装饰器无参数 def login_required(method): @functools.wraps(method) def wrapper(*args, **kwargs): # 执行函数前 if not kwargs.get('current_user_id'): return "无权限" print("before:current_user:%s" % kwargs.get('...
r"""Example of using the replace_placeholder method of the SQLContainer class. It demonstrates how to replace multiple placeholders. This example is present in the section "Replace placeholders" in the SQLite part of the documentation. """ # =============================================================== # Imports #...
# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright (c) 2016, Anaconda, Inc. All rights reserved. # # Licensed under the terms of the BSD 3-Clause License. # The full license is in the file LICENSE.txt, distributed with this software. # -------------------...
import os import subprocess fileexisted = os.path.isfile(f"../../results/cache/cache.csv") f = open(f"../../results/cache/cache.csv", "a") def write_csv_results(ds, n, op, num_ops, cache, misses): f.write(f"{ds},{n},{op},{num_ops},{cache},{misses}\n") f.flush() if not fileexisted: write_csv_results(...
""" repl.py - top level read/eval/print loop. INTRO 1 : This is where ActorForth all begins for execution purposes. """ import sys from continuation import Continuation, Stack from interpret import interpret from af_types.af_any import print_words def print_stack_stats(stack): print("") print(stack.contents...
from . import goodsAdminBP from flask import render_template @goodsAdminBP.route('/') def index(): from .main import getAllGoods return render_template("admin/goods.html", goods=getAllGoods())
import adv.adv_test from core.advbase import * from slot.d import * from slot.a import * def module(): return Xainfried class Xainfried(Adv): a1 = ('dc', 4) a3 = ('dt', 0.25) conf = {} conf['slot.a'] = RR()+JotS() conf['slot.d'] = Siren() conf['acl'] = """ `s1 `s2 `...
""" Implement shared pieces of Erlang node negotiation and distribution protocol """ DIST_VSN = 5 DIST_VSN_PAIR = (DIST_VSN, DIST_VSN) " Supported distribution protocol version (MAX,MIN). " def dist_version_check(max_min: tuple) -> bool: """ Check pair of versions against version which is supported by us ...
import os from pyrogram import Client TRIGGERS = os.environ.get("TRIGGERS", "/ !").split(" ") API_HASH = os.environ.get("API_HASH") BOT_TOKEN = os.environ.get("BOT_TOKEN") BOT_NAME = os.environ.get("BOT_NAME") SAUCE_API = os.environ.get("SAUCENAO_API") DB_URL = os.environ.get("DATABASE_URL") ANILIST_CLIENT = ...
from functools import partial from django.contrib.sites.models import Site from django.core.urlresolvers import reverse from django.test import TestCase from opendebates.tests.factories import SiteFactory, DebateFactory # Force the reverse() used here in the tests to always use the full # urlconf, despite whatever ...
""" File: draw_line.py Name: Zach Hsu ------------------------- TODO: This program allows users to create straight lines by clicking the mouse. The first click creates a circle to indicate the origin of the line, whereas the second click indicates the end. As soon as a line is formed, the circle will ...
# -*- coding: utf-8 -*- """Generate the Resilient customizations required for fn_task_utils""" import base64 import os import io try: from resilient import ImportDefinition except ImportError: # Support Apps running on resilient-circuits < v35.0.195 from resilient_circuits.util import ImportDefinition RE...
import pytest from app.api.analytics.service import get_prediction_for_pipeline from ..dataclasses.analytics_service_dataclasses import \ PipelinePredictionTestCase from ..fixtures.analytics_service_fixtures import (input_output_data_fixture, make_chart_dicts_fixt...
import warnings from datetime import datetime from typing import Callable, Dict, NamedTuple, Optional, Tuple import jax from jax import numpy as jnp from tqdm import tqdm from mcx.inference.adaptation import ( StanWarmupState, stan_hmc_warmup, stan_warmup_schedule, ) from mcx.inference.integrators import ...
from django.db import models from django.utils.translation import ugettext_lazy as _ from djangocms_baseplugins.baseplugin.models import AbstractBasePlugin from djangocms_baseplugins.baseplugin.utils import truncate_richtext_content from djangocms_baseplugins.baseplugin.utils import check_migration_modules_needed ch...
import functions from imports import * #------------------------------------------------------------------# # Classe de rede neural para predição de dados espectrais de imagens. Utiliza # bibliotecas Keras, Numpy e Pillow class Model(): # # Initialize the model and set the dataset for trainning and valid...
#!/usr/bin/python # -*- coding: utf-8 -*- # The MIT License (MIT) # Copyright (c) 2018 Bruno Tibério # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without l...
#!/usr/bin/python3 import sys,os logs = open(sys.argv[1], "rt").readlines() logs = [l for l in logs if l.startswith('EVENT_HOST_')] record_num = len(logs) first = logs[0] last = logs[-1] #EVENT_HOST_START 1330 4 HELLO_sta -1 4411277.674832291 first_t = float(first.split()[-1]) last_t = float(last.split()[-1]) dur_t...
import os import sys import uuid import tempfile from .face import Face from .solid import Solid from .assembly import Assembly from .tools import generate_solid_from_faces import FreeCAD import Part as FCPart from FreeCAD import Base App = FreeCAD class ReferenceFace(object): def __init__(se...
# Generated by Django 3.1.1 on 2020-09-30 02:29 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('comments', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='comment', name='profile', ), ]
import sys import os src_path = os.path.split(os.path.split(os.path.abspath(__file__))[0])[0] if src_path not in sys.path: sys.path.insert(0, src_path) from tornado.testing import AsyncHTTPTestCase from tornado.web import Application from tests.tests_new import MyVariantTest from biothings.tests.test_helper impor...
# Copyright 2018 eBay Inc. # Copyright 2012 OpenStack LLC. # All Rights Reserved. # # 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 # # https://www.apache.org/licenses/LICENSE-2.0...
# -*- coding: utf-8 -*- import datetime try: # python 3.x from urllib.parse import urlparse, parse_qs except Exception: # python 2.x from urlparse import urlparse, parse_qs import logging from scrapy.spiders import CrawlSpider from scrapy.http import Request from reserve_america.items import Reservat...
# -*- coding: utf-8 -*- """ Tests for tipfyext.appenginetaskqueue """ import time import unittest from google.appengine.ext import deferred from google.appengine.api import taskqueue from google.appengine.ext import db from tipfy import Rule, Tipfy from tipfy.app import local import test_utils def get_rules()...
# Copyright (C) 2013 Lukas Lalinsky # Distributed under the MIT license, see the LICENSE file for details. import re from sqlalchemy.ext.compiler import compiles from sqlalchemy.types import UserDefinedType from sqlalchemy.sql.expression import ClauseElement, TextClause try: from sqlalchemy.dialects.postgresql imp...
import os import torch import torch.nn as nn import torch.nn.functional as F from torch.optim.lr_scheduler import LambdaLR, MultiStepLR from torch.utils.data import DataLoader from torchvision.datasets.cifar import CIFAR10 import torchvision.transforms as transforms from torchvision.models.resnet import resnet18 from t...
#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import os import subprocess import tempfile import unittest from contextlib import contextmanager from fs_image.btrfs...
import pickle import time from string import punctuation import nltk import numpy as np import sent2vec from absl import app from absl import flags from absl import logging from nltk import sent_tokenize from nltk import word_tokenize from nltk.corpus import stopwords FLAGS = flags.FLAGS flags.DEFINE_string('model_fi...
""" Copyright (C) 2012 STFC. 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 writ...
def get_bins(n, bs = ''): result = [] def genbin(n, bs = ''): if n-1: genbin(n-1, bs + '0') genbin(n-1, bs + '1') else: result.append('1' + bs) genbin(n) return result def compute(input_list): result = 0 all_bin = get_bins(len(input_list)) ...
from __future__ import absolute_import from bluepandas.bluepandas import *
import djclick as click from isic.ingest.models import Accession from isic.ingest.validators import MetadataRow @click.command(help='Revalidate all accession metadata') def revalidate_metadata(): accessions = Accession.objects.values_list('pk', 'metadata') num_accessions = accessions.count() num_errors =...
# Copyright (c) OpenMMLab. All rights reserved. import torch import torch.nn as nn import torch.nn.functional as F from mmcv.cnn import build_norm_layer from mmcv.cnn.utils.weight_init import (constant_init, trunc_normal_, trunc_normal_init) from mmcv.runner import ModuleList fr...
# Copyright (c) 2013 Shotgun Software Inc. # # CONFIDENTIAL AND PROPRIETARY # # This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit # Source Code License included in this distribution package. See LICENSE. # By accessing, using, copying or modifying this work you indicate your # agreement to t...
#!/usr/bin/env python from setuptools import setup, find_packages PROJECT = "origamid" with open('README.md') as readme_file: README = readme_file.read() install_requires = [ 'click==6.7', 'flask==1.0.2 ', 'requests==2.18.4', 'tornado==5.0.2', 'six==1.11.0', 'peewee==3.5.0', 'celery==4.2.0', 'do...
#!/usr/bin/env python # Copyright (c) Microsoft. All rights reserved. # Licensed under the MIT license. See LICENSE file in the project root for # full license information. # # filename: inject_into_junit.py # author: v-greach@microsoft.com # created: 03/11/2019 # Rev: 03/11/2019 D import sys import os import argpa...
import tkinter as tk from tkinter.ttk import Combobox from PIL import Image, ImageTk import numpy as np from tkinter.font import Font from time import sleep import RPi.GPIO as GPIO import board import busio import adafruit_ads1x15.ads1015 as ADS from adafruit_ads1x15.analog_in import AnalogIn from fpdf import FPDF im...
import sounddevice as sd duration = 5.5 # seconds from queue import Queue from threading import Thread import numpy as np from numpy import sin, pi import sounddevice as sd import time import matplotlib.pyplot as plt # Parameters for sine wave fs = 44100 # sampling rate, Hz duration = .5 # in seconds f = 1...
import requests as r from urllib import parse from pprint import pprint from requests.cookies import create_cookie import traceback import os import base64 from typing import Optional, Dict, Tuple, Union, List import urllib3 import json import yaml import re from enum import Enum from src.utils import logger urllib3.d...
# coding: utf-8 import pprint import re import six class BlackEnhance: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is js...
""" Python compatibility functions. """ import sys import os import warnings from typing import Any, Callable # ------------------------------------------------------------------------------ # Python 2/3 compatibility fs_encoding = sys.getfilesystemencoding() or sys.getdefaultencoding() def relpath(path: str, start:...
"""Define battery utilities.""" from typing import Union BATTERY_STATE_OFF = "off" BATTERY_STATE_ON = "on" def calculate_battery(value: Union[float, int]) -> Union[float, str]: """Calculate a battery value. 1. If the value is a float, we assume it represents voltage and return it as-is. 2. If the value ...
from scipy.linalg import solve import numpy as np import pickle import math import eos import glob import os import json from lsfm.eos_utils import Blendshape, MorphableModel, PcaModel def recoverModelFromPca(id, path, pca_model, alpha): alpha_np = np.array(list(map(float,alpha))) eigenvector_linear_sum = np.d...
from os.path import join, dirname DATA_DIR = dirname(__file__) def path_to_file(name): return join(DATA_DIR, name)
import abc import typing import time import asyncio import multiprocessing class OnePlusOneBase(abc.ABC): """ OnePlusOne Abstract Class 'This Class Have Super Cat Power' """ __repl__ = """OnePlusOne Abstract Class""" __str__ = __repl__ @abc.abstractmethod def onePlusOne(self, one: Non...
from typing import List, Dict, Any import albumentations as A import cv2 import numpy as np import streamlit as st import torch from PIL import Image from retinaface.pre_trained_models import get_model as get_detector from facemask_detection.pre_trained_models import get_model as get_classifier st.set_option("deprec...
class Solution(object): def maxProfit(self, prices): """ :type prices: List[int] :rtype: int """ if not prices: return 0 import sys sell1 = sell2 = 0 buy1 = buy2 = -sys.maxint for p in prices: sell2 = max(sell2, p+buy2...
import itertools from numpy import linspace from pylinal import VectorFunc from math import cos, sin, pi # u in [0, 2pi); v in [-1, 1] x = lambda u, v: (1 + v/2 * cos(u/2)) * cos(u) y = lambda u, v: (1 + v/2 * cos(u/2)) * sin(u) z = lambda u, v: v/2 * sin(u/2) mobius_strip = VectorFunc([x, y, z]) us = linspace(0, 2*...
# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator 1.2.2.0 # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # --------------------------------------------------------------------------...
### ### Copyright (C) 2018-2019 Intel Corporation ### ### SPDX-License-Identifier: BSD-3-Clause ### from ....lib import * from ..util import * spec = load_test_spec("vpp", "hue") NOOP = 50 # i.e. 0.0 in msdkvpp range should result in no-op result @slash.requires(have_gst) @slash.requires(*have_gst_element("msdk")) ...
"""Loaders.""" import datetime from pathlib import Path import re from typing import Dict, List, Optional import fsspec import pandas as pd from prefect import Task from ...data.endpoints import BoxScoreTraditional from ...data.endpoints.parameters import SEASONS from ...data.factory import NBADataFactory class Ge...
#this imports numpy import numpy as np #this step creates a function called main def main(): i = 0 #sets a variable i equal to 0 x = 119. # sets a variable x equal to 119 and the decimal makes it a float (do you need the 0?) for i in range(120): #starting at i, add one everytime the program gets to t...
from django.db import models from django.contrib.auth.hashers import ( check_password, make_password, ) from .managers import UserManager class User(models.Model): username = models.CharField(verbose_name='username', db_column='username', max_length=40, unique=True) email = models.EmailField(verbose_...
"""Solution. HackerRank > Algorithms > Implementation > Beautiful Days at the Movies. """ def beautifulDays(i, j, k): """Problem solution.""" def reverse(n): return int(str(n)[::-1]) c = 0 for day in range(i, j + 1): if (day - reverse(day)) % k == 0: c += 1 return c
import os import socket import json import requests import pygeohash as pgh from influxdb import InfluxDBClient HOST = '0.0.0.0' # Standard loopback interface address (localhost) PORT = 7007 # Port to listen on (non-privileged ports are > 1023) apikey = os.getenv("API_KEY") influxHost = os.getenv("INFLUX...
#!/usr/bin/python3 # # MIT License # # Copyright (c) 2017 Arkadiusz Netczuk <dev.arnet@gmail.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limi...
from pyomo.environ import * infinity = float('inf') model = AbstractModel() # Foods model.F = Set() # Nutrients model.N = Set() # Cost of each food model.c = Param(model.F, within=PositiveReals) # Amount of nutrient in each food model.a = Param(model.F, model.N, within=NonNegativeReals) # Lower and upper bound...
from . import BaseGenerator from random import choice, randint class Seed(BaseGenerator): def __init__(self, company): self.nouns = self._load_txt('nouns.txt') self.adjectives = self._load_txt('adjectives.txt') def generate(self): return '-'.join([ choice(self.adje...
import json import time from collections import namedtuple import pytest from click.testing import CliRunner from firebolt_cli.main import main def test_engine_start_running(engine_name: str, cli_runner: CliRunner) -> None: """ Test start engine, which is running should fail """ result = cli_runner....
from ctgan.synthesizers.ctgan import CTGANSynthesizer from reader import get_datasets, read_csv, write_csv import time import warnings #warnings.filterwarnings('ignore') datasets = get_datasets() discriminator_steps = 5 verbose = True for dataset in datasets: data = read_csv(dataset) print('Dataset name: ' +...
import json import pytest def test_dotdict(): from flask_dropin.nameddrops import DotDict d = DotDict({'val': 100}, True) assert d.val == 100 assert hasattr(d, 'val') assert 'val' in d with pytest.raises(ValueError): d.val = 200 with pytest.raises(AttributeError): d.bad_ke...
import torch.nn as nn import torch.nn.functional as F class ShapesClassifier(nn.Module): def __init__(self): super(ShapesClassifier, self).__init__() self.conv1 = nn.Sequential( nn.Conv2d(in_channels=1, out_channels=16, kernel_size=(3, 3), ...
import gc import os import atexit import signal import asyncio import inspect import logging import weakref import contextlib import collections if __debug__: import traceback import synapse.exc as s_exc import synapse.glob as s_glob import synapse.lib.coro as s_coro logger = logging.getLogger(__name__) OMIT_F...
from nltk import word_tokenize from nltk import Text tokens = word_tokenize("Here is my first aprroach with nltk") text = Text(tokens)
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). import os.path import subprocess from textwrap import dedent from colors import crossed, red from pex.common import safe_open from pex.testing import run_pex_command from pex.typing impo...
from starlette.requests import Request from typing import List, Optional from viewmodels.shared.viewmodel import ViewModelBase from services import transcripts_service class TranscriptsViewModel(ViewModelBase): def __init__(self, episode_number, request: Request): super().__init__(request) self....
# Copyright (c) Ingmar Nitze and Konrad Heidler # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import glob import os import shutil import numpy as np import rasterio as rio from .udm import burn_mask from ..utils import get_logger, log_run ...
# -*- coding: utf-8 -*- """ @Time : 2018/3/23 21:53 @Author : Elvis """ import os import numpy as np from utils.data_loader import TestDataset import torch from torch.utils.data import DataLoader from torch.backends import cudnn from torch.autograd import Variable from tqdm import tqdm superclass = "vehicles" NUM_...
FORECAST_MAPPING = { 'Krajowe zapotrzebowanie na moc': 'load_forecast', 'Suma zdolności wytwórczych JWCD': 'capacity_jwcd_forecast', 'Suma zdolności wytwórczych nJWCD': 'capacity_njwcd_forecast', 'Generacja JWCD': 'generation_jwcd_forecast', 'Generacja nJWCD': 'generation_njwcd_forecast', 'Gener...
import os, json, logging, shutil, time, zipfile from io import BytesIO from collections import OrderedDict from .util.descriptor import AddChecksum from .helpers import alias, load_jsons from .rpc import get_default_datadir, RpcError from .specter_error import SpecterError from .wallet import Wallet logger = logging....
import os def get_current(): print("Current Working Directory: ",os.getcwd()) get_current() os.chdir('/home/pablo/Courses') get_current()
""" Wrap 2 A library for wrapping social network wrappers. """ from wrap2.facebook import Facebook from wrap2.twitter import Twitter __all__ = [Facebook.__name__, Twitter.__name__]
import requests import logging class BranchClient(object): base_url = "https://api.branch.io/v1" def __init__(self, branch_key, branch_secret, upside_url='https://upsideappbeta.app.link', # default to alpha session_factory=requests.session...
class Book: def __init__(self, title, author, price): self.title = title self.author = author self.price = price # __str__ => showing info about object (user friendly) def __str__(self): return f'{self.title} by {self.author} costs {self.price}' # __repr__ => deb...
# ============================== WEBHOOKS TABLE ============================== CREATE_WEBHOOK_TABLE = """ CREATE TABLE IF NOT EXISTS webhooks ( id BIGINT PRIMARY KEY, token VARCHAR(100), guild_id BIGINT, ch_id BIGINT UNIQUE, timesta...
from setuptools import setup, find_packages REQUIRED_PACKAGES = ['keras==2.1.2', 'h5py==2.7.1', 'tqdm==4.19.5'] # Setup parameters for GC ML Engine. setup(name='trainer', version='0.1', install_requires=REQUIRED_PACKAGES, packages=find_packages(), include_package_data=True, description='...
from django.contrib import admin from django.db import models from .models.class_ import Class from .models.clase import Clase from .models.domain import Domain from .models.dominio import Dominio from .models.diagnostic_tag import DiagnosticTag from .models.defining_characteristics import DefiningCharacteristic fro...
from django.utils.module_loading import autodiscover_modules from django.db import models class FSMField(models.CharField): pass class TransitionsMixin: pass def autodiscover(): autodiscover_modules('states') autodiscover_modules('triggers') default_app_config = 'bluebottle.fsm.apps.FSMConfig'
import pytest from packaging import version from flask import Flask, json from device_manager import app from unittest import mock def test_get(mocked_get_mini_provider, test_devices): client = app.app.test_client() response = client.get("/") assert response.status_code == 200 devices = json.loads(r...
# -*- coding: utf-8 -*- """Test simple questions thread author Notes: 1. We're a bit more strict with this test case. Consistency is important for the weekly thread, and formatting and patterns should not change easily. 2. There's lot's of implementation details here. we can't depend on p...
# -*- coding: utf-8 -*- """ Spyder Editor This is a temporary script file. """ import numpy as np class Layer_Dense: """ Dokumentasi input : output : """ # Layer initialization def __init__(self, n_inputs, n_neurons): # Initialize weights and biases self.w...
# This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative wo...
import pyfits as pf import numpy as np import matplotlib.pyplot as plt from MuSCADeT import MCA from MuSCADeT import pca_ring_spectrum as pcas import scipy.stats as sc from MuSCADeT import colour_subtraction as cs ## Openning data cube cube = pf.open('./Simu_real/Cube.fits')[0].data num,n,n = np.shape(cube) ## A for ...