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# Copyright 2019 Miguel Angel Abella Gonzalez <miguel.abella@udc.es> # # 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 ap...
from .canvas import DefaultCanvas from ...cell_fabric.generators import * from ...cell_fabric.grid import * import logging logger = logging.getLogger(__name__) class MOSGenerator(DefaultCanvas): def __init__(self, pdk, height, fin, gate, gateDummy, shared_diff, stack, bodyswitch): super().__init__(pdk) ...
import torch import torch.nn as nn import math import numpy as np def weights_init(m): if type(m) == nn.Linear: nn.init.xavier_uniform_(m.weight) def pate(data, teachers, lap_scale, device="cpu"): """PATE implementation for GANs. """ num_teachers = len(teachers) labels = torch.Tensor(num...
# -*- coding: utf-8 -*- # Generated by Django 1.11.3 on 2017-08-24 08:44 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('dashboard2', '0004_auto_20170310_1811'), ] operations = [ migrations.DeleteModel( ...
""" Python program to implement Graph @Author: Archibald @Date: Sept. 12 """ class Graph: def __init__(self, vertices): self.V = vertices self.graph = [None] * self.V def add_directed_edge(self, tail, header): node = Node(header) node.next = self.graph[tail] self.graph...
from __future__ import print_function import traceback try: import pbundler pbundler.PBundler.setup() except: print("E: Exception in pbundler activation code.") print("") print("Please report this to the pbundler developers:") print(" http://github.com/zeha/pbundler/issues") print("") ...
""" Expression splitting for chunked computation To evaluate an expression on a large dataset we may need to chunk that dataset into pieces and evaluate on each of the pieces individually. This module contains logic to break up an expression-to-be-evaluated-on-the-entire-array into 1. An expression to be evaluated ...
import webbrowser from tornado import ioloop, web from minotor.api.projection_handler import ProjectionHandler from minotor.api.data_handler import DataHandler from minotor.api.training_data_handler import TrainingDataHandler from minotor.constants import PACKAGE_PATH # Defining constants REACT_BUILD_PATH = PACKAGE...
"""Offer time listening automation rules.""" import logging import voluptuous as vol from homeassistant.core import callback from homeassistant.const import CONF_PLATFORM from homeassistant.helpers import config_validation as cv from homeassistant.helpers.event import async_track_time_change # mypy: allow-untyped-d...
import torch import matplotlib.pyplot as plt from torchvision import datasets, transforms from random import choice BATCH_SIZE=64 # Load the mnist dataset train_loader = torch.utils.data.DataLoader( datasets.MNIST( "./data", train=True, download=True, transform...
######### # Copyright (c) 2015 GigaSpaces Technologies Ltd. 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...
"""converted from ..\fonts\tvga9000i-2__8x8.bin """ WIDTH = 8 HEIGHT = 8 FIRST = 0x20 LAST = 0x7f _FONT =\ b'\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x18\x3c\x3c\x18\x18\x00\x18\x00'\ b'\x6c\x6c\x6c\x00\x00\x00\x00\x00'\ b'\x6c\x6c\xfe\x6c\xfe\x6c\x6c\x00'\ b'\x18\x7e\xc0\x7c\x06\xfc\x18\x00'\ b'\x00\xc6\xcc\x18\x30\x66\x...
import snap7 from snap7.util import * from snap7.snap7types import * import struct s1500=snap7.client.Client() s1500.connect('172.16.6.200',rack=0,slot=1) Real_Value=s1500.read_area(0x84,38,0,1) print(Real_Value) order = '00PP000022' byarray=bytearray(order,encoding='utf-8') print(byarray) productNo = '00A03' produ...
__all__ = ["EvaluatingInferencer"] from dataclasses import dataclass from typing import Sequence import torch import torch.utils.data as td import utils from datasets import BatchData from .inferencer import Inferencer from evaluators import FinegrainedEvaluator @dataclass class EvaluatingInferencer(Inferencer): ...
# SPDX-License-Identifier: Apache-2.0 # # The OpenSearch Contributors require contributions made to # this file be licensed under the Apache-2.0 license or a # compatible open source license. # Modifications Copyright OpenSearch Contributors. See # GitHub history for details. # Licensed to Elasticsearch B.V. under one ...
# -*- coding=gbk -*- #----------------------------------------------------------- # Copyright (c) 2015 by Aixi Wang <aixi.wang@hotmail.com> #----------------------------------------------------------- import random, time import os import sys import thread, threading, subprocess #import mosquitto import leveldb RPC_V...
from .typefire import Switch, Agreement, TypeFire, typefire, composed, typeswitch, likefire
def main(): print('monthly reset') if __name__ == '__main__': main()
import tensorflow as tf tfk = tf.keras from .shaping import move_dim def move_ch2h(maybe_headed_tensor, channels_dim=-1, head_dim=1): if maybe_headed_tensor.shape.rank == 4: return move_dim(maybe_headed_tensor, from_dim=channels_dim, to_dim=he...
from tkinter import * root = Tk() ''' Creating a label widget ''' mylabel = Label(root, text= 'Hello World') mylabel.pack() root.mainloop()
import pandas as pd import numpy as np import matplotlib.pyplot as plt from .ga import GeneticAlgorithm from . import objectives as ga_objectives import deap import warnings class AutoGeneS: PLOT_PARAMS = { 'small': { 'figsize': (10,5), 'all_ms': 8, 'sel_ms': 10 ...
""" This is taken from "Simple Usage" page in the docs: http://sanic-jwt.readthedocs.io/en/latest/pages/simpleusage.html """ from sanic import Sanic, response from sanic_jwt import exceptions from sanic_jwt import Initialize, protected class User: def __init__(self, id, username, password): self.user_id ...
BRAND_A = ["jablka", "hrusky"] BRAND_B = ["jablka", "banany"] BRAND_C = ["banany"] def search_a(item): if item in BRAND_A: return True else: return False def search_b(item): if item in BRAND_B: return True else: return False def search_c(item): if item in BRAND_...
from collections import OrderedDict import six from .base import _cls_init from .parsing import ( _register_marking, _register_object, _register_observable, _register_observable_extension, ) def _get_properties_dict(properties): try: return OrderedDict(properties) except TypeError as e: ...
from pprint import pprint from configparser import ConfigParser from ibc.client import InteractiveBrokersClient # Initialize the Parser. config = ConfigParser() # Read the file. config.read('config/config.ini') # Get the specified credentials. account_number = config.get('interactive_brokers_paper', 'paper_account')...
# for saving files from PyQt5 import QtCore, QtGui, QtWidgets import sys,csv from measurement_gui import Ui_Measurement from PyQt5.QtWidgets import QFileDialog import serial,itertools class Measurement(QtWidgets.QMainWindow, Ui_Measurement): def __init__(self,parent = None): super(Measurement,self).__init_...
# Copyright (c) 2017, Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can be # found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause import pandas as pd import numpy as np import random import tempfile import unittest import pytest from...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
import cfenv env = cfenv.AppEnv() __all__ = ['env']
#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 2019 Google LLC # # 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 # # Unless requir...
""" Django settings for footballnews project. Generated by 'django-admin startproject' using Django 1.11.2. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ impo...
import tensorflow as tf import time from tensorflow.examples.tutorials.mnist import input_data import matplotlib.pyplot as plt beginTime=time.time() mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) learning_rate = 0.01 training_iterations = 30 batch_size = 100 display_step = 2 x = tf.placeholder("float...
# Copyright (c) 2021 PaddlePaddle 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 appli...
from utils.addressing import AddressParser class Disassembler: def __init__(self, mpu, address_parser=None): if address_parser is None: address_parser = AddressParser() self._mpu = mpu self._address_parser = address_parser self.addrWidth = mpu.ADDR_WIDTH self....
#!c:\users\hp\chat\new\scripts\python.exe # -*- coding: utf8 -*- # :Copyright: © 2015 Günter Milde. # :License: Released under the terms of the `2-Clause BSD license`_, in short: # # Copying and distribution of this file, with or without modification, # are permitted in any medium without royalty provided the cop...
# optimizer optimizer = dict(type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) # learning policy lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11]) total_epochs = 12
""" Django settings for paymentsapp_project project. Generated by 'django-admin startproject' using Django 3.0.8. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ ...
from flask import Flask # 플라스크를 import한다 # app = Flask(__name__)# flask객체 생성 # URL /의 GET요청에 대해 뷰 함수를 등록 # @표시는 데코레이터라고 한다 # Flask에서 URL을 처리하는 방법을 URL Dispath라고한다. # 밑의 코드는 클라이언트가 /를 요청하면 helloworld라는 함수를 실행한다는 것 # route 데코레이터에 추가된 함수를 뷰 함수라고 한다 @app.route("/") def helloworld():# 뷰 함수 return "Hello world flask" ...
LOGGER_NAME = "cli" PLUGIN_PREFIX = "BUILDKITE_PLUGIN_GIT_DIFF_CONDITIONAL"
""" Problem Statement: A Pythagorean triplet is a set of three natural numbers, a < b < c, for which, a^2 + b^2 = c^2 For example, 3^2 + 4^2 = 9 + 16 = 25 = 5^2. There exists exactly one Pythagorean triplet for which a + b + c = 1000. Find the product abc. """ from __future__ import print_function def solutio...
import numpy import scipy.signal from generate import * def generate(): def process(factor, x): out = scipy.signal.decimate(x, factor, n=128 - 1, ftype='fir', zero_phase=False) return [out.astype(type(x[0]))] vectors = [] x = random_complex64(256) vectors.append(TestVector([2], [x], ...
# SPDX-FileCopyrightText: 2022 Tim Hawes <me@timhawes.com> # # SPDX-License-Identifier: MIT from django.contrib import admin from .models import ChangeOfAddress, GroupPolicy, MailingList class GroupPolicyInline(admin.TabularInline): model = GroupPolicy fields = ("group", "policy", "prompt") extra = 0 ...
# -*- coding: utf-8 -*- """ This module offers a generic date/time string parser which is able to parse most known formats to represent a date and/or time. This module attempts to be forgiving with regards to unlikely input formats, returning a datetime object even for dates which are ambiguous. If an element of a dat...
from scipy.io import loadmat import numpy as np import pandas as pd import sklearn.preprocessing from sklearn import preprocessing class kamitani_data_handler(): """Generate batches for FMRI prediction frames_back - how many video frames to take before FMRI frame frames_forward - how many video frames to ...
#!/usr/bin/env python # # Helper Functions. # file : Functions.py # author : Tom Regan <noreply.tom.regan@gmail.com> # since : 2011-07-19 # last modified : 2011-08-04 #!/usr/bin/env python def binary(number, size=1, extend=False): """Improved bin function that can return two's compleme...
from tempfile import TemporaryDirectory import numpy as np from numpy.testing import assert_allclose from astropy import units as u from ctapipe.reco.energy_regressor import EnergyRegressor def test_prepare_model(): cam_id_list = ["FlashCam", "ASTRICam"] feature_list = {"FlashCam": [[1, 10], [2, 20], [3, 3...
from django.contrib import admin # Register your models here. from notification_service.models import Message @admin.register(Message) class MessageAdmin(admin.ModelAdmin): pass
# Copyright 2018 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. DEPS = [ 'recipe_engine/cipd', 'recipe_engine/context', 'recipe_engine/json', 'recipe_engine/path', 'recipe_engine/platform', 'recipe...
""" Check lesson files and their contents. """ import os import glob import re from argparse import ArgumentParser from util import (Reporter, read_markdown, load_yaml, check_unwanted_files, require) __version__ = '0.3' # Where to look for source Markdown files. SOURCE_DIRS = ['', '_episodes', '_...
import os import sys from abc import ABC, abstractmethod from collections import namedtuple from dagster import check from dagster.core.definitions.reconstructable import ReconstructableRepository from dagster.core.types.loadable_target_origin import LoadableTargetOrigin from dagster.serdes import create_snapshot_id, ...
from django.db import models class AvailabilityTest(models.Model): primary_key = models.CharField(max_length=20, primary_key=True) last_access = models.DateTimeField(help_text='Datetime of last access to this model from the celery task')
from django.apps import AppConfig class CommentappConfig(AppConfig): name = 'commentapp'
import plotly_study import os import shutil import pytest # Fixtures # -------- @pytest.fixture() def setup(): # Reset orca state plotly_study.io.orca.config.restore_defaults(reset_server=False) here = os.path.dirname(os.path.abspath(__file__)) # Run setup before every test function in this file pytestmar...
import json import logging import storage from defs import DeviceRequest from device.models import Device, DeviceAddress from hint.models import HintAuthentication from hint.procedures.request_library import create_device LOGGER = logging.getLogger(__name__) """ This module specifies the handling of device message...
class TransactionHooksDatabaseWrapperMixin(object): """ A ``DatabaseWrapper`` mixin to implement transaction-committed hooks. To use, create a package for your custom database backend and place a ``base.py`` module within it. Import whatever ``DatabaseWrapper`` you want to subclass (under some othe...
""" Q647 Palindromic Substrings Medium Given a string, your task is to count how many palindromic substrings in this string. The substrings with different start indexes or end indexes are counted as different substrings even they consist of same characters. """ class Solution: def countSubstrings(self, s: str...
# -*- coding: utf-8 -*- # # clan documentation build configuration file, created by # sphinx-quickstart on Fri Apr 15 21:52:09 2011. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All co...
#!/usr/bin/env python """Handles run.""" __author__ = 'pramodg@room77.com (Pramod Gupta)' __copyright__ = 'Copyright 2012 Room77, Inc.' import itertools import json import os import re import sys import time from pylib.base.flags import Flags from pylib.base.exec_utils import ExecUtils from pylib.base.term_color im...
#!/usr/bin/env python3 # Copyright (c) 2019-2020 The YieldStakingWallet developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """ Covers various scenarios of PoS blocks where the coinstake input is already spent (either in a ...
"""Exceptions for pymoney""" class MoneyError(Exception): """Generic Money error""" class InvalidAmount(MoneyError, ValueError): """Raised when the amount of money is invalid""" class CurrencyMismatch(MoneyError, ValueError): """Raised when a operation is performed on money with different currenci...
# -*- encoding: utf-8 -*- from __future__ import division, print_function, unicode_literals import objc from GlyphsApp import * from GlyphsApp.plugins import * if int(Glyphs.versionNumber) == 3: from GlyphsApp import GSMouseOverButton, GSScriptingHandler from AppKit import ( NSButton, NSMiniControlSize, ...
# orm/loading.py # Copyright (C) 2005-2017 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """private module containing functions used to convert database rows into object inst...
""" Module for fetching artifacts from Nexus 3.x .. versionadded:: 2018.3.0 """ import base64 import http.client import logging import os import urllib.request from urllib.error import HTTPError, URLError import salt.utils.files import salt.utils.stringutils from salt.exceptions import CommandExecutionError try: ...
import pandas as pd import numpy as np from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer from modules.utils import plots from modules.utils import firefox_dataset_p2 as fd from modules.utils import tokenizers as tok from modules.utils import aux_functions from modules.models.lda import LDA...
import asyncio from itertools import zip_longest import os import os.path from bs4 import BeautifulSoup from tqdm import tqdm import aiohttp from jinja2 import Environment, PackageLoader from pubmedasync.fetch import Fetcher from geneinfo.make_table import make_table from geneinfo.process import extract_paper_info ...
""" Pruning a pre-trained model by GSP. Author: Ruizhe Zhao Date: 12/02/2019 The work-flow of this script: - load a pre-trained model (suffixed by 'm') - compute the mask based on weights - fine-tune the model """ import os import sys import argparse import copy import time import shutil import json import logging ...
import os import subprocess import csv from operator import itemgetter point = { } with open('scorecard.csv') as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') line_count = 0 for row in csv_reader: total = 0 if line_count == 0: line_count += 1 else: ...
BINARY_DOCKER_COMPOSE_VERSION = '1.29.1' DEFAULT_DIRECTORY_BASE = '/opt/' DEFAULT_DIRECTORY_INSTALLATION = '/opt/mayan-edms/' DEFAULT_DIRECTORY_MEDIA_ROOT = '/opt/mayan-edms/media/' DEFAULT_DATABASE_NAME = 'mayan' DEFAULT_DATABASE_PASSWORD = 'mayanuserpass' DEFAULT_DATABASE_USER = 'mayan' DEFAULT_OS_GROUP = 'mayan' DEF...
from StringIO import StringIO import copy import logging import hashlib import itertools from lxml import etree import os import re import json from collections import defaultdict from xml.dom.minidom import parseString from diff_match_patch import diff_match_patch from django.core.cache import cache from django.templ...
# Copyright (c) 2019 PaddlePaddle 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 appli...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
# -*- coding: utf-8 -*- from ccxt.base.exchange import Exchange import hashlib from ccxt.base.errors import ExchangeError class therock (Exchange): def describe(self): return self.deep_extend(super(therock, self).describe(), { 'id': 'therock', 'name': 'TheRockTrading', ...
""" Check out this website for the entire Unicode characters list: http://unicode-table.com """ import config # *_PATCHED glyphs exist only in patched fonts (available at: # https://github.com/Lokaltog/powerline-fonts). DIVIDER_RIGHT_PATCHED = chr(57520) DIVIDER_RIGHT_SOFT_PATCHED = chr(57521) DIVIDER_LEFT_PATCHED = ...
import datetime import os import re import pandas as pd import pytest from ruamel.yaml import YAML from great_expectations import DataContext from great_expectations.core import ExpectationSuite from great_expectations.core.batch import Batch, RuntimeBatchRequest from great_expectations.data_context import BaseDataCo...
"""The tests for the demo stt component.""" import pytest from homeassistant.components import stt from homeassistant.setup import async_setup_component @pytest.fixture(autouse=True) async def setup_comp(hass): """Set up demo component.""" assert await async_setup_component(hass, stt.DOMAIN, {"stt": {"platfo...
#Perform Edge Detection using Roberts Cross Gradient & Sobel Operators over an Image import cv2 import math import numpy as np def robertCrossGradient(image): #Objective: Performing Robert Cross Gradient Edge Detection over an Image #Input: Original Image #Output: Resultant Image #Robert Cross Operator # x 0 ...
# Model Imports from .models import PollVote, Poll, PollChoice, Post, post_content_types, PostContent # Util Imports from .utils import PollVoteUtil import base64 from django.core.files.base import ContentFile # Library Imports from datetime import datetime, timedelta from django.utils import timezone from django.fo...
import torch import torch.nn as nn import torch.nn.functional as F # pretrained BPE Tokenizer from transformers import BertTokenizer """ tokenizer = Tokenizer() print(tokenizer.get_vocab_size()) print() print(tokenizer.get_vocab()) 50265 """ class Tokenizer(): def __init__(self, language, max_len): self....
#!/usr/bin/env python3 import argparse import json import logging import multiprocessing import shutil import time from conflation import aggregation, util from conflation.map_matching import valhalla from conflation.trace_fetching import mapillary, mapillary_v3, auth_server def main(): arg_parser = argparse.Arg...
import os os.environ['KMP_DUPLICATE_LIB_OK']='True' import math import numpy as np from scipy import linalg from os import path as osp import cv2 import random import matplotlib.pyplot as plt import pdb #0. torch imports import torch from torch.utils.data import DataLoader,Dataset from torch import optim,nn import tor...
#!/usr/bin/env python3 # # linearize-hashes.py: List blocks in a linear, no-fork version of the chain. # # Copyright (c) 2013-2016 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. # from __future__ impo...
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
"""Seasons_Greetings URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') C...
import nonebot from nonebot.adapters.cqhttp.message import Message from nonebot.matcher import Matcher from nonebot.typing import T_State from nonebot.plugin import on_command from nonebot.adapters.cqhttp import Bot, MessageEvent import userlib import os from userlib.wiki import EntryInfoBase, WikiBase from userlib....
import cv2 import mediapipe as mp import os def main(): mp_drawing = mp.solutions.drawing_utils mp_hands = mp.solutions.hands drawing_styles = mp.solutions.drawing_styles # fn = filename; Images in the img folder IMAGE_FILES = ['img/' + str(fn) for fn in next(os.walk('./img'))[2]] with mp_ha...
""" @author: ksanoo @updated_at: 12/4/2020 @description: All parameters that are to be swept (specified in sweep_setup files) must have a class definition in this script. The class name must be the same as the parameter key in loop_param """ import global_vars as swp_gbl from parameter_classes import GenericParam impo...
# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If ex...
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
# -*- encoding: utf-8 -*- __all__ = [ 'NodeInterfaceError' ] class NodeInterfaceError(BaseException) : pass
''' Opening and Reading Files Syntax to open file. f = open("Myfile.txt) # assigned to the variable f. '''
from discord.ext import commands from discord.ext.commands import Bot, Context from models.command import CommandInfo import config from util.discord.channel import ChannelUtil from util.discord.messages import Messages from util.env import Env from db.models.favorite import Favorite from db.models.user import User fr...
import pytorch_lightning as pl from torch.utils.data import DataLoader class plDataModule(pl.LightningDataModule): def __init__( self, train_dataset, val_dataset, test_dataset=None, num_workers=2, train_sampler=None, train_shuffle=True, train_batch_s...
#!/usr/bin/env python # # Electrum - lightweight Bitcoin client # Copyright (C) 2015 Thomas Voegtlin # # 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...
#!/usr/bin/env python2 # coding: utf-8 """Test immutable registers.""" import unittest import random from triton import * class TestImmutableAArch64Registers(unittest.TestCase): def setUp(self): """Define the arch.""" self.ctx = TritonContext() self.ctx.setArchitecture(ARCH.AARCH64) ...
from abc import ABCMeta, abstractmethod from copy import deepcopy class Prototype(metaclass=ABCMeta): @abstractmethod def clone(self): pass class Concrete(Prototype): def clone(self): return deepcopy(self) prototype = Concrete() foo = prototype.clone() bar = prototype.clone() print(...
# coding=utf-8 # Copyright 2020 The Google Research Authors. # # 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 applicab...
# -*- coding: utf-8 -*- """The SleuthKit (TSK) file entry implementation.""" import copy import decimal from dfdatetime import definitions as dfdatetime_definitions from dfdatetime import factory as dfdatetime_factory from dfdatetime import interface as dfdatetime_interface import pytsk3 from dfvfs.lib import defin...
import copy import os import re import json import sys import warnings from collections import namedtuple from datetime import datetime from enum import Enum, unique from json import JSONDecodeError from operator import lt, le, eq, ge, gt from boto3 import Session from collections import OrderedDict from moto.core.ex...
from __future__ import division from __future__ import absolute_import # from __future__ import unicode_literals from sklearn.feature_extraction.text import strip_accents_ascii, \ strip_accents_unicode def clean(s, lowercase=True, replace_by_none=r'[^ \-\_A-Za-z0-9]+', replace_by_whitespace=r'[\-\_]', ...
"""Tools for summarizing lightcurve data into statistics""" import numpy as np import scipy.optimize as spo from tensorflow.contrib.framework import nest from justice import lightcurve from justice import xform def opt_alignment( lca: lightcurve._LC, lcb: lightcurve._LC, ivals=None, constraints=None...