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# -*- coding: utf-8 -*- """ A simple example, have fun! """ __title__ = 'pgrsearch' __author__ = 'Ex_treme' __license__ = 'MIT' __copyright__ = 'Copyright 2018, Ex_treme' from TEDT import TEDT urls = [ 'http://www.cankaoxiaoxi.com/china/20170630/2158196.shtml', # 参考消息 'http://news.ifeng.com/a/20180121/553323...
try: from mushroom_rl.environments.dm_control_env import DMControl import numpy as np def test_dm_control(): np.random.seed(1) mdp = DMControl('hopper', 'hop', 1000, .99, task_kwargs={'random': 1}) mdp.reset() for i in range(10): ns, r, ab, _ = mdp.step( ...
# 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 applicable law or agreed to in writing, software #...
from django.db import models from home.info_holder import get_release_type_id from home.models import WhatTorrent RELEASE_PRIORITIES = [ (get_release_type_id('Album'), 1000), (get_release_type_id('EP'), 990), (get_release_type_id('Soundtrack'), 986), # (get_release_type_id('Single'), 985), (get_r...
from .Bible import Book, Verse from .Bible_Parser_Base import BibleParserBase import xml.etree.ElementTree as ET import os.path class BibleParserXML(BibleParserBase): name = "XML" fileEndings = ["xml"] def __init__(self, file_name): BibleParserBase.__init__(self, file_name) def loadInfo(self)...
num=float(input("Enter a number:")) if num<0: print("\nNumber entered is negative.") elif num>0: print("\nNumber entered is positive.") else: print("\nNumber entered is zero.")
# Copyright (c) 2012 - 2015 Lars Hupfeldt Nielsen, Hupfeldt IT # All rights reserved. This work is under a BSD license, see LICENSE.TXT. import os, random from jenkinsflow import jobload from .framework import api_select here = os.path.abspath(os.path.dirname(__file__)) _context = dict( exec_time=1, params...
from datetime import datetime from app import database as db class ChatroomMessages(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) chatroomID = db.Column(db.Integer) message = db.Column(db.String(10050), nullable = False) sentUserID = db.Column(db.Integer, nullable=False) timestamp = ...
from pathlib import Path import nibabel as nib from skimage.transform import resize from PIL import ImageOps import tensorflow as tf import numpy as np from scipy import ndimage class TensorflowDatasetLoader: def __init__(self, idxs, config): depth = config['depth'] height = config['height'] ...
# Copyright 2020 Xilinx Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
from tartiflette import Directive from tartiflette.types.exceptions.tartiflette import SkipExecution class Skip: async def on_field_execution( self, directive_args, next_resolver, parent_result, args, ctx, info ): if directive_args["if"]: raise SkipExecution() return await...
""" Expect error directives """ from __future__ import ( absolute_import, unicode_literals, ) from pyparsing import ( Literal, Optional, Word, alphanums, restOfLine, ) import six from pysoa.common.types import Error from pysoa.test.plan.grammar.assertions import ( assert_actual_list_no...
# DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER # Copyright (c) 2018 Juniper Networks, Inc. # All rights reserved. # Use is subject to license terms. # # Author: cklewar import argparse from lib.processor import TaskProcessor from lib.processor import ServiceProcessor from lib.pluginfactory import Emitt...
# Smallest Multiple -- Solved # Solution = 232792560 import math from Timer import Timer Stopwatch = Timer() def LCM(n,p): return (n*p) // math.gcd(n,p) Solution = 1 for i in range(2, 21): Solution = LCM(Solution, i) print('The least common multiple of all of the numbers from 1 to 20 is: ', Solution) Stop...
import imghdr import string import random from flask import abort import os from werkzeug.utils import secure_filename from app.config import Config def validate_image(stream): header = stream.read(512) stream.seek(0) format = imghdr.what(None, header) if not format: return None return '.' + (format if f...
from lib.action import BitBucketAction class UpdateServiceAction(BitBucketAction): def run(self, repo, id, url): """ Update a service/hook """ bb = self._get_client(repo=repo) success, result = bb.service.update( service_id=id, URL=url ) ...
#!/usr/bin/env python # -*- encoding: utf-8 -*- import torch import os import sys import numpy as np import argparse from copy import deepcopy from torchvision import transforms from models.vae import ConditionalVAE, ConditionalVAE_conv from utils import * import time def main_LGLvKR_Fine(args): os...
#!/usr/bin/python3 from brownie.test import given, strategy # Does the RewardAdded event fire? @given(_amt=strategy("uint256", max_value=(10 ** 18), exclude=0)) def test_reward_added_fires(multi, reward_token, alice, _amt): multi.stake(10 ** 18, {"from": alice}) reward_token.approve(multi, _amt, {"from": ali...
import json import statistics import time import urllib.request from multiprocessing import Pool with open("payload_performance.json", "r") as json_file: json_list = list(json_file) data_points = [] for json_str in json_list: result = json.loads(json_str) if not result: continue body = {"data...
from __future__ import absolute_import, unicode_literals import pytest from six import string_types from c8.fabric import TransactionFabric from c8.exceptions import ( TransactionStateError, TransactionExecuteError, TransactionJobResultError ) from c8.job import TransactionJob from tests.helpers import cl...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from enum import Enum __all__ = [ 'AdministratorType', 'CatalogCollationType', 'IdentityType', 'InstancePoolLicenseType', 'Managed...
import os base_path = "/workspace/soft-Q-learning-for-text-generation/data/yelp-gpt2" max_source_length = 512 max_decoding_length = 5 source_vocab_file = os.path.join(base_path, "vocab.source") target_vocab_file = os.path.join(base_path, "vocab.target") train = { "batch_size": 12, "allow_smaller_final_batch...
import argparse import os import time import logging from logging import getLogger import urllib import torch import torch.nn as nn import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim import torch.utils.data as data import torchvision.transforms as transforms import torchvision.datasets as...
from django.shortcuts import render,redirect from django.contrib.auth import authenticate, login,logout from django.contrib.auth.forms import AuthenticationForm def login_request(request): if request.method=='POST': username=request.POST['username'] password=request.POST['password'] print(username,password) u...
from topology import topology from json import load,dump def convert(geojson,topojson,object_name=False, *args, **kwargs): if isinstance(geojson,dict): input_dict = geojson elif isinstance(geojson,str) or isinstance(geojson,unicode): inFile = open(geojson) input_dict = load(inFile) ...
# -*- coding: utf-8 -*- import re import lxml import lxml.etree from lxml.html.clean import Cleaner import parsel _clean_html = Cleaner( scripts=True, javascript=False, # onclick attributes are fine comments=True, style=True, links=True, meta=True, page_structure=False, # <title> may be...
class Endpoint: index = 0 latency = 0 caches = {} requests = {} def __init__(self, index, latency): self.index = index self.latency = latency self.caches = {} self.requests = {} def add_cache(self, index, latency): self.caches[index] = latency def a...
from collections import Sequence from tornado.web import RequestHandler from hybrid.util import imports from hybrid.metaclass import CatchExceptionMeta class CastException(Exception): pass class BaseHandler(RequestHandler): __metaclass__ = CatchExceptionMeta def getviewfunc(self, view, module): i...
from app.automata_learning.black_box.pac_learning.smart_teacher.equivalence import equivalence def model_compare(hypothesis_pre, hypothesis_now, upper_guard, system): # Do not compare for the first time if hypothesis_pre is None: return True, [] eq_flag, ctx = equivalence(hypothesis_now, hypothes...
from .user_config import load_data, save_data
import pandas as pd import numpy as np import random import plotly.express as px import pickle class ShapeEstimator: def __init__(self, connections_file_name, duplicate_data=False, point_details_file_name=None, color_definitions_file=None, optimized_points_file=None): self.data = self.load_data(connection...
# -*- coding: utf-8 -*- """ Editor: Zhao Xinlu School: BUPT Date: 2018-02-13 Function: 1~n整数中1出现的次数 """ def numOf1Between1AndN(n): """ 计数,累计1在1~n的总次数,时间效率较低 :param n: :return: """ if n == 0: return 0 if n < 0: return None count = 0 for i in range(1, n+1): co...
# # Marco Panato # PyMusicServer # import logging import globals from time import sleep from database.sqlite3.dbManager import DbManager from database.DataManager import DataManager from music.manager import PyMusicManager from settings.settingsprovider import SettingsProvider from utils.threadingutils import runina...
import logging from aiogram import Bot, Dispatcher, executor from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.utils.executor import start_webhook from app import handlers from app.commands import set_commands from app.settings import (WEBHOOK_IS_ACTIVE, WEBHOOK_URL, WEBHOOK_PATH, ...
#!/usr/bin/env python # Copyright (c) 2014 Miguel Sarabia # Imperial College London # # # 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 limitation the ...
from deco.sources import Dataset import numpy as np def squeeze_rec(item): if isinstance(item, list): new_list = [] for subitem in item: new_list.append(squeeze_rec(subitem)) if len(new_list) == 1: new_list = new_list[0] return new_list else:...
""" Index - all bib files for use with `glottolog refsearch` - all languoid info files for use with `glottolog langsearch` This will take about - about 15 minutes to create an index of about 450 MB for references and - a couple of minutes and create an index of about 60 MB for languoids. """ from pyglottolog import ft...
#!/usr/bin/env python # -*- coding:utf-8 -*- """================================================================= @Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3 @File : LC-0094-Binary-Tree-Inorder-Traversal.py @Author : [YuweiYin](https://github.com/YuweiYin) @Date : 2022-03-06 =====================...
# Copyright 2018 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 required by applicable law or agreed to in writing, s...
#!/usr/bin/env python """ Run the Matplotlib test suite, using the mplcairo backend to patch out Matplotlib's agg backend. .. PYTEST_DONT_REWRITE """ from argparse import ArgumentParser import os from pathlib import Path import sys import warnings os.environ["MPLBACKEND"] = "agg" # Avoid irrelevant framework issues...
import os import numpy as np import pandas as pd data=pd.read_csv("C:/Users/Dell/OneDrive/Desktop/spotify_dataset.csv") print(data.Index) data=pd.read_csv("C:/Users/Dell/OneDrive/Desktop/spotify_dataset.csv", index_col=0) data.head() data.shape data.info() data.isnull() data.isnull().sum() # We don't have ...
# AGC028a def main(): n, m = map(int, input().split()) s = input() t = input() from fractions import gcd def lcm_base(a, b): return a * b // gcd(a, b) l = lcm_base(len(s), len(t)) for i in range(l, l*2, l): x = [-1]*i if __name__ == '__main__': main()
#!/usr/bin/env python # coding: utf-8 # In[ ]: #written by Joshua Shaffer ([email protected]) # See PyCharm help at https://www.jetbrains.com/help/pycharm/ import math def main(): data0 = input("experimental group technical replicate 1 experimental gene Cq/Ct value: ") data1 = input("experimental group tec...
#/usr/bin/env python """Parsers for the Sprinzl tRNA databases. """ from cogent.util.misc import InverseDict from string import strip, maketrans from cogent.core.sequence import RnaSequence from cogent.core.info import Info as InfoClass __author__ = "Rob Knight" __copyright__ = "Copyright 2007-2012, The Cogent Project...
import os from pathlib import Path DEFAULT_ROOT_PATH = Path(os.path.expanduser(os.getenv("CHIA_ROOT", "~/.chia/testnet4"))).resolve()
from __future__ import absolute_import from .accuracy import accuracy from .classification import evaluate_classification, show_confusion_matrix from .distance import compute_distance_matrix from .lfw import evaluate_lfw from .rank import evaluate_rank
# # PySNMP MIB module JUNIPER-V1-TRAPS-MPLS (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/JUNIPER-V1-TRAPS-MPLS # Produced by pysmi-0.3.4 at Wed May 1 14:01:25 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (def...
import json import ssl import asyncio import logging import websockets log = logging.getLogger('mattermostdriver.websocket') log.setLevel(logging.INFO) class Websocket: def __init__(self, options, token): self.options = options if options['debug']: log.setLevel(logging.DEBUG) self._token = token async de...
USE_MMDET = True _base_ = [ '../_base_/models/faster_rcnn_r50_fpn.py', '../_base_/datasets/mot_challenge_det.py', '../_base_/default_runtime.py' ] model = dict( detector=dict( rpn_head=dict(bbox_coder=dict(clip_border=False)), roi_head=dict( bbox_head=dict(bbox_coder=dict(clip_bo...
class ContainerModuleNotFound(Exception): pass # Raised when Container module is not found
import pytest from ..bootstrap import check_dependencies def test_check_dependencies(): check_dependencies([]) check_dependencies(["which", "cd"]) with pytest.raises(AssertionError, match="this-does-not-exist is not installed"): check_dependencies(["this-does-not-exist"])
class Solution: # @param {string} s # @param {string} p # @return {boolean} def isMatch(self, s, p): dp=[[False for i in range(len(p)+1)] for j in range(len(s)+1)] dp[0][0]=True for i in range(1,len(p)+1): if p[i-1]=='*': if i>=2: d...
uci_moves = [] letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'] for n1 in range(1, 9): for l1 in letters: for n2 in range(1, 9): for l2 in letters: uci = l1 + str(n1) + l2 + str(n2) uci_moves.append(uci) promotions_white = ['a7a8', 'b7b8', 'c7c8', 'd7d8', 'e7e...
import os import json import logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger("FMT") src_path = "data/en/manifest_{}_en_cmon_clean.json" tgt_path = "data/en/spk_{}/manifest_{}_en_cmon_clean.json" tgt_txt_path = "data/en/spk_{}/manifest_{}_en_cmon_clean.txt" for env in ["valid", "train"]: ...
########################################################################## # Author: Samuca # # brief: plays a mp3 song # # this is a list exercise available on youtube: # https://www.youtube.com/playlist?list=PLHz_AreHm4dm6wYOIW20Nyg12TAjmMGT- #########################################################################...
#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for the SYSTEMTIME structure implementation.""" from __future__ import unicode_literals import decimal import unittest from dfdatetime import systemtime class SystemtimeTest(unittest.TestCase): """Tests for the SYSTEMTIME structure.""" # pylint: disable=p...
""" REST APIs that are only used in v1 (the legacy API). """
import sqlite3 connection = sqlite3.connect('categories.db') with open('categories.sql') as f: connection.executescript(f.read()) cur = connection.cursor() cur.execute("INSERT INTO categories (name) VALUES (?)", ('Food',) ) connection.commit() connection.close()
import unittest import os from web3 import Web3 from solcx import install_solc # install_solc(version='latest') install_solc(version='0.7.0') from solcx import compile_source EXTRA_GAS = int(os.environ.get("EXTRA_GAS", "0")) proxy_url = os.environ.get('PROXY_URL', 'http://localhost:9090/solana') proxy = Web3(Web3.HTT...
import sys, os, time, serial, logging, threading DEFAULT_TTY = '/dev/ttyUSB0' DEFAULT_BAUD = 9600 TIMEOUT = 3.0 log = logging.getLogger(__name__) class ArduinoSerial(object): def __init__(self,tty=DEFAULT_TTY,baud=DEFAULT_BAUD): self._exit = threading.Event() self.tty = tty self.baud = b...
from pathlib import Path import torch from models.models import TfIdfModel from data.data_preprocessing import TfIdfPreprocessor def main(): preprocessor = TfIdfPreprocessor.load_from_checkpoint( list(Path("test_checkpoints").glob("*.pkl"))[0] ) model_checkpoint = torch.load(list(Path("test_check...
from dataclasses import dataclass from typing import Any import torch @dataclass class EpochData: epoch_id: int duration_train: int duration_test: int loss_train: float accuracy: float loss: float class_precision: Any class_recall: Any client_id: str = None def to_csv_line(se...
def twoNumberSum(array, targetSum): # Write your code here. for i in range (len(array)-1): firstNum = array[i] for j in range (i+1,len(array)): secondNum =array[j] if firstNum +secondNum ==targetSum: return [firstNum,secondNum] return []
""" paper: Memory Fusion Network for Multi-View Sequential Learning From: https://github.com/pliang279/MFN """ import torch import torch.nn as nn import torch.nn.functional as F __all__ = ['MFN'] class MFN(nn.Module): def __init__(self, args): super(MFN, self).__init__() self.d_l,self.d_a,self.d_v = args.feature...
""" Handles incoming motion commands and translates them to actions. Copyright (c) 2013 Sean Watson Licensed under the MIT license """ import threading import logging import time class MotionHandler(threading.Thread): """Translates motion commands to actions. When a new motion command is received over the ...
import numpy as np """ scan_options ={ "l" : length, 'x' : exclude, 'c' : column, 'b' : partitions, 'D' : corrlength, 'V' : verbosity, 'o' : file_out } """ def cond_entropy(bins, t, partitions): """ :param bins: The discrete version fo the times series :type bins: array of ints :param t: the time del...
""" This module contains implementation of REST API views for materials app. """ import json import logging from django.conf import settings from django.core import serializers from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsReturned from django.db.models import Count, F, Q, QuerySet from django...
from conans import ConanFile class TestConan(ConanFile): name = "Test" version = "0.1" settings = "os", "compiler", "build_type", "arch" description = "Package for Test" url = "None" license = "None" def package(self): self.copy("*", dst="lib", src="obj/libs") self.copy("*....
import os import shutil import logging import feedcache import jinja2 import shelve import staticrss.feed def _update_feeds(feed_urls, storage): """Read urls from *feed_urls* and update the *storage*""" cache_storage = shelve.open('.cache') cache = feedcache.Cache(cache_storage) for url in feed_urls:...
import matplotlib.pyplot as plt import numpy as np def qm(x0, n): x = np.empty(n+1) x[0] = x0 for t in range(n): x[t+1] = 4 * x[t] * (1 - x[t]) return x x = qm(0.1, 250) fig, ax = plt.subplots(figsize=(10, 6.5)) ax.plot(x, 'b-', lw=2, alpha=0.8) ax.set_xlabel('time', fontsize=16) plt.show()
from .version import __version__ from .bconfig import BConfig, Identity from .binarize import *
from lan_lex import * from lan_parser import * from lan_ast import *
# fabfile # Fabric command definitions for running lock tests. # # Author: Benjamin Bengfort <[email protected]> # Created: Tue Jun 13 12:47:15 2017 -0400 # # Copyright (C) 2017 Bengfort.com # For license information, see LICENSE.txt # # ID: fabfile.py [] [email protected] $ """ Fabric command definitions f...
from output.models.sun_data.combined.xsd005.xsd005_xsd.xsd005 import ( Base, Ext, Root, Rst, ) __all__ = [ "Base", "Ext", "Root", "Rst", ]
import numpy as np from sklearn.tree import DecisionTreeClassifier as Tree from sklearn.linear_model import LogisticRegression as LR from sklearn.isotonic import IsotonicRegression as Iso from sklearn.base import BaseEstimator, ClassifierMixin from sklearn.utils.validation import check_X_y, check_array, check_is_fitted...
from .file_transfer_direction import FileTransferDirection from .transfer_properties import TransferProperties from .file_transfer_status import FileTransferStatus from .transfer_statistics import TransferStatistics from .file_transfer_exception import FileTransferException from .file_transfer_status import FileTransfe...
# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors # MIT License. See license.txt # For license information, please see license.txt from __future__ import unicode_literals import webnotes from install_erpnext import exec_in_shell from webnotes.model.doc import addchild from webnotes.model.bean im...
from numpy import array import utils.readers as rd from pyrr import matrix44 as mat4 # classe um objeto generico class Object3d: # construtor def __init__(self, name, color, nVet, vao, vbo): self.name = name # nome self.color = color # cor self.model = mat4.create_identity() # m...
import os import logging from flask import Flask from flask_mail import Mail from flask_login import LoginManager from flask_sqlalchemy import SQLAlchemy __version__ = '0.1.dev' app = Flask('databoard') # Load default main config app_stage = os.getenv('DATABOARD_STAGE', 'DEVELOPMENT').upper() if app_stage in ['PRO...
# Load an example mesh. # import pyvista from pyvista import examples mesh = pyvista.read(examples.antfile) mesh.plot(cpos='xz') # # Load a vtk file. # mesh = pyvista.read('my_mesh.vtk') # doctest:+SKIP # # Load a meshio file. # mesh = pyvista.read("mesh.obj") # doctest:+SKIP
import numpy as np import cv2 import math class Image: def __init__(self, name, image): self.original = image self.name = name self.ysize = image.shape[0] self.xsize = image.shape[1] # Convert image to Grayscale def toGrayscale(self, image): return cv2.cvtColor(i...
import pyfmodex, time, yaml import numpy as np import os import random import ctypes from pyfmodex.constants import * import logging, copy from smooth import SmoothVal from sound_global_state import new_channel, from_dB, VelocityFilter import sound_global_state from auto_sounds import AutomationGroup system = None # ...
import numpy as np import math import scipy.stats import estimator class GaussEstimator(estimator.Estimator): def __init__(self,k): super().__init__(k) self.mu = 0 self.std = 1 def solve(self): self.mu = self.moments[1] self.std = math.sqrt(self.moments[2] - self.mu*se...
# -*- coding: utf-8 -*- # Copyright (c) 2013 Spotify AB import re def deserialize(d, **kw): names = re.sub("(?:(?:#|//).*?[\r\n])|/[*](?:.|\n)*?[*]/", " ", d).split() if names[:1] != ['Start']: names.insert(0, 'Start') return ( [('v%d' % i, v_name) for i, v_name in enumerate(nam...
from netapp.netapp_object import NetAppObject class Nfsv4ClientStatsInfo(NetAppObject): """ structure containing statistics for NFSv4 operations """ _rename_ops = None @property def rename_ops(self): """ total 'rename' NFSv4 operations Range : [0..2^64-1]. "...
import numpy as np chislo = input('Загадай число от 0 до 99: ') char_num = input('При делении // на 10 получается число отличное от 0?(да/нет): ') if char_num == 'да': odd_or_not = input('Число, полученное при делении // на 10 делится на 2 без остатка?(да/нет): ') if odd_or_not == 'да': char_num = inpu...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Term based tool to view *colored*, *incremental* diff in a *Git/Mercurial/Svn* workspace or from stdin, with *side by side* and *auto pager* support. Requires python (>= 2.5.0) and ``less``. """ import sys import os import re import signal import subprocess import sel...
# test_ptypes.py # Copyright (c) 2013-2016 Pablo Acosta-Serafini # See LICENSE for details # pylint: disable=C0103,C0111,W0108 # Standard library imports import sys import numpy # Putil imports import putil.ptypes from putil.test import AE, AI ### # Global variables ### emsg = lambda msg: ( '[START CONTRACT MSG:...
#!/usr/bin/python # parseacunetix.py # # By Adrien de Beaupre [email protected] | [email protected] # Copyright 2011 Intru-Shun.ca Inc. # v0.09 # 16 October 2011 # # The current version of these scripts are at: http://dshield.handers.org/adebeaupre/ossams-parser.tgz # # Parses acunetix XML output # http...
import typing from mcpython import shared from mcpython.common.network.package.AbstractPackage import ( AbstractPackage, DefaultPackage, ) async def set_client_var(side, state): shared.is_client = state class NetworkManager: PACKAGE_TYPES: typing.Dict[bytes, typing.Type[AbstractPackage]] = {} ...
import os from lib.fmd.workflow import FileManagementWorkflow from lib.fmd.decorators import GetStage, ListStage from lib.file.tmpfile import TemporaryFile class GetAction(object): def execute(self, context): fadm = FileManagementWorkflow() if context.fid == "all": context.log.status('G...
from tests.utils import W3CTestCase class TestRtlIb(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'rtl-ib'))
import json from datetime import datetime from jnius import autoclass PythonActivity = autoclass('org.kivy.android.PythonActivity') PythonService = autoclass('org.kivy.android.PythonService') TaskScheduler = autoclass('org.atq.atq.TaskScheduler') def _to_millis(time: datetime): return int(time.timestamp() * 10...
from typing import Dict, List, Tuple, Union, Any import torch import numpy as np import os import logging from torch.nn.modules.rnn import LSTMCell from torch.nn.modules.linear import Linear import torch.nn.functional as F from allennlp.data import Vocabulary from allennlp.models.model import Model from allennlp.nn.ut...
from rich import box from ...helper import deprecate_by class PlotMixin: """Provide helper functions for :class:`Document` to plot and visualize itself.""" def _ipython_display_(self): """Displays the object in IPython as a side effect""" self.summary() def __rich_console__(self, consol...
import h5py from whacc import utils import matplotlib.pyplot as plt import numpy as np H5_list = utils.get_h5s('/Users/phil/Dropbox/Autocurator/testing_data/MP4s/') H5_FILE = H5_list[0] with h5py.File(H5_FILE, 'r') as hf: for k in hf.keys(): print(k) print(hf['trial_nums_and_frame_nums'][:]) # with...
# Natural Language Toolkit: Parser Utility Functions # # Author: Ewan Klein <[email protected]> # # URL: <http://nltk.sf.net> # For license information, see LICENSE.TXT """ Utility functions for parsers. """ ###################################################################### #{ Test Suites ##############...
""" Labels display text to users """ from kivy.uix.label import Label from kivy.properties import StringProperty, NumericProperty, BooleanProperty, ColorProperty __all__ = [ 'CupertinoLabel' ] class CupertinoLabel(Label): """ iOS style Label .. image:: ../_static/label/demo.png """ text = ...
# Assemble release folder import os import sys import shutil import glob import pathlib target = "ogm_release" binext = "" libext = ".so" _from = "." if len(sys.argv) >= 2: _from = sys.argv[1] if os.name == 'nt': binext = ".exe" libext = ".dll" dlibext = "d" + libext if os....
''' Renames cTAKES XMI output files (named like doc%d.xmi) to use the original document name. E.g. Plaintext abc.txt -> cTAKES doc0.xmi -> renamed abc.xmi ''' import os from ctakes.format import XMI if __name__ == '__main__': def _cli(): import optparse parser = optparse.OptionParser(usage='Usage...