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# Copyright (c) 2021 - present / Neuralmagic, Inc. 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 b...
# -*- coding: utf-8 -*- """ Bundle of methods for handling images. Rather than manipulating specialized operations in images methods in this module are used for loading, outputting and format-converting methods, as well as color manipulation. SUPPORTED FORMATS see http://docs.opencv.org/2.4/modules/highgui/doc/readin...
# -*- coding: utf-8 -*- """ Created on Fri Dec 20 09:02:18 2019 @author: Andrea """ def add_frac(zaeler1, nenner1, zaeler2, nenner2): """Dieses Programm addiert 2 Brüche miteinander und kürzt sie mit ihrem größten gemeinsamen Teiler (ggt)""" #Variablen einführen zaeler=0 nennerg=0 ggt = 1 ...
# # Demonstrates that the super-class implementation of an overridden method # can be called in the same way as with normal objects. # from Foundation import * N = 1 class MyObject (NSObject): def init(self): global N if N == 1: print "Calling super.init" N = 0 ...
import jsonobject import jsl def jsl_field_to_jsonobject_property(prop: jsl.BaseField) -> jsonobject.JsonProperty: if isinstance(prop, jsl.DateTimeField): return jsonobject.DateTimeProperty(name=prop.name, required=prop.required) if isinstance(prop, jsl.StringField): return jsonobject.StringPr...
import argparse import pandas as pd parser = argparse.ArgumentParser() parser.add_argument( '--data-train', type=str, default='./data/original/train.csv', help='train data path') parser.add_argument( '--data-test', type=str, default='./data/original/test.csv', help='test data path') parser.add_argumen...
from mlagents.tf_utils.tf import tf as tf # noqa from mlagents.tf_utils.tf import set_warnings_enabled # noqa
# coding=utf-8 from os import path from constantes import * import pickle from random import choice from indexer import Indexer class Zone: def __init__(self, id_: str, creatures_id: list, level_range: tuple): self.id = id_ # c'est l'id d'une subCarte self.creatures_id = creatures_id sel...
from django.shortcuts import render_to_response, get_object_or_404, redirect, render from django.core.paginator import Paginator from django.core.exceptions import ObjectDoesNotExist from django.http import HttpResponse, Http404, FileResponse from django.conf import settings import datetime from . import models import ...
import math import random from ..algorithm_common import AlgorithmCommon as AC from ..algorithm_common import IAlgorithm class Tabu(IAlgorithm): def __init__(self, individual_max, epsilon=0.1, tabu_list_size=100, tabu_range_rate=0.1, ): self.indivi...
# SPDX-License-Identifier: Apache-2.0 import os import sys import unittest import keras2onnx import keras_contrib import numpy as np from keras2onnx import set_converter from keras2onnx.proto import keras from os.path import dirname, abspath sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../tests/')) ...
import audio_dspy as adsp _fs_ = 44100 _num_ = 1000 _dur_ = 1 class SweepsTimeSuite: """ Benchmarkng Suite for sweep functions """ def setup(self): self.sweep = adsp.sweep_log(1, _fs_/2, _dur_, _fs_) self.sweep2 = adsp.sweep_log(1, _fs_/2, _dur_, _fs_) def time_log_sweep(self): ...
import torch import torch.nn as nn from se3cnn.point.radial import CosineBasisModel from e3_layer.persistent_point.data_hub import DataHub from e3_layer.persistent_point.periodic_convolution import PeriodicConvolutionWithKernel from e3_layer.persistent_point.gate import Gate class EQLayer(nn.Module): def __init...
""" HealthDES - A python library to support discrete event simulation in health and social care """ import simpy from .Routing import Activity_ID class DecisionBase: # TODO: Need to return a function which includes list of next activities def set_next_activity(self, activity): return self.get_next_a...
import json import time import graphics DEBUG = True class GShape: """ A parent class that represents a shape. It is named GShape for "Graphical shape" since "shape" is such a generic word. """ def __init__(self, win: object, name: str, channel: int, x: int, y: int, color: str): """ ...
# -*- coding: utf-8 -*- """PSF DECONVOLUTION MODULE This module deconvolves a set of galaxy images with a known object-variant PSF. :Author: Samuel Farrens <[email protected]> """ from __future__ import print_function from builtins import range, zip from scipy.linalg import norm from modopt.math.stats impor...
import os import sys import configparser import matplotlib matplotlib.use('Agg') # Don't try to use X forwarding for plots import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1.inset_locator import inset_axes import pandas as pd import numpy as np from root_pandas import read_root ### Insert path to most rece...
import os import copy import math import numpy as np import basis.robot_math as rm import robot_sim._kinematics.jlchain as jl import robot_sim.manipulators.manipulator_interface as mi class IRB14050(mi.ManipulatorInterface): def __init__(self, pos=np.zeros(3), rotmat=np.eye(3), homeconf=np.zeros(7), name='irb140...
# -*- coding: utf-8 -*- from collections import namedtuple from inspect import isclass attr_type_to_column = { int: "ival", float: "fval", basestring: "tval", str: "tval", # TODO: add other python subtype of basestring. bool: "bval", } _op_val_typecheck = { "==": [basestring, int, float, ...
is_valid = True while is_valid: password = int(input()) if password == 2002: print("Acesso Permitido") is_valid =False else: print("Senha Invalida")
import torch from torch import nn # import torch.nn.functional as F from train.helpers import * # inspired by fastai course class BCE_Loss(nn.Module): def __init__(self, n_classes, device): super().__init__() self.n_classes = n_classes self.device = device self.id2idx = {1: 0, 3: ...
import pytest from django.core.exceptions import ImproperlyConfigured from esteid.constants import Languages @pytest.mark.parametrize( "lang_code, result", [ *[(code.upper(), code) for code in Languages.ALL], *[(code.lower(), code) for code in Languages.ALL], *[(alpha2.upper(), code)...
# https://oj.leetcode.com/problems/spiral-matrix-ii/ class Solution: # @return a list of lists of integer def generateMatrix(self, n): matrix = [[0]*n for i in xrange(n)] next = 1 for k in xrange(n/2): for j in xrange(k, n-1-k): matrix[k][j] = next next += 1 for i in xrange(...
#writing functions to be called from different notebooks, making the code easier to read import os import glob import pandas as pd #TODO creat a nice function that saves a file summarizing the data outputs as graphs from cellprofiler #def DataCheckPlotting(): def ImportData_NUC_CYTO(cp_output_dir): #use glob to p...
# http://flask.pocoo.org/docs/1.0/api/#api # $ export FLASK_APP=flask_demo.py # $ export FLASK_ENV=development # $ flask run # $ flask run -h <ip> -p <port> # $ python -m flask run from flask import Flask, request, jsonify, abort app = Flask(__name__) @app.errorhandler(400) def bad_json(error): return 'Error ...
# -*- coding: utf-8 -*- # # Copyright 2019 Google 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
import pandas as pd import geojson as gj import plotly.express as px import urllib.request import dash # from dash import dcc # from dash import html import dash_core_components as dcc import dash_html_components as html app = dash.Dash(__name__) server = app.server # # # # # DATA # # # # # # # loading dataframe # l...
import numpy as np print('------------------Aufgabe 1-----------------------') # strukturiertes Array mit 2 Spalten ( ID int32) und Produktpreis my_type = [('ID', np.int32), ('Preis', np.float64)] produkte = np.array([(12345, 670.89), (34567, 18.99), (78900, 250.00), ...
import sed_eval import utils import pandas as pd from sklearn.preprocessing import binarize, MultiLabelBinarizer import sklearn.metrics as skmetrics import numpy as np def get_audio_tagging_df(df): return df.groupby('filename')['event_label'].unique().reset_index() def audio_tagging_results(reference, estimated...
""" Support for Meteobridge SmartEmbed This component will read the local weatherstation data and create Binary sensors for each type defined below. For a full description, go here: https://github.com/briis/hass-mbweather Author: Bjarne Riis """ import logging from datetime import timedelta impor...
#! /usr/bin/env python3 # -*- coding: utf-8 -*- import re import time import random from decimal import * getcontext().prec = 30 def addDot(num): """Formats the number into a string and adds a '.' for every thousand (eg. 3000 -> 3.000) Parameters ---------- num : int integer number to format Returns -------...
# Copyright (c) 2020 NVIDIA Corporation. All rights reserved. # This work is licensed under the NVIDIA Source Code License - Non-commercial. Full # text can be found in LICENSE.md import sys, os import numpy as np import cv2 # This function is modeled off of P/R/F measure as described by Dave et al. (arXiv19) def mul...
# -*- coding: utf-8 -*- """Unit test package for talklocal_python."""
"""A wrapper class that will hold the column values and recreate a model instance when needed.""" class ModelWrapper: def __init__(self, model_instance): self._model_instance = model_instance for key in self._model_instance.__table__.columns.keys(): this_val = getattr(self._model_inst...
# -*- coding: utf-8 -*- """ Created on Thu Aug 6 18:29:13 2020 @author: Goutam Dadhich """ import sys INT_MAX = sys.maxsize # print(INT_MAX) # Finding Minimum Coins using Recursio def FindMinCoins_rec(coins, n, amt): if amt == 0: return 0 if amt < 0: return INT_MAX count = INT...
resp = 's' cont = soma = 0 list = [] while resp == 's': num = int(input('digite um número: ')) cont += 1 soma += num list.append(num) resp = input('Deseja continuar? [s/n]').lower().strip() print(f'Você digitou {cont} números\n' f'A média deles é {soma/cont}\n' f'O maior número é o {max...
import streamlit as st from is_even_nn import * st.set_page_config(layout="centered", page_icon="🤖", page_title="Is it even?") st.title("IsEvenNN") st.write("A neural network that predicts if a number is even!") left, right = st.columns(2) form = left.form("input") number_input = form.text_input("Your number:") s...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('estore', '0003_auto_20151029_0013'), ] operations = [ migrations.RenameField( model_name='event', ol...
from __future__ import unicode_literals import frappe from frappe.model.document import Document from frappe.utils import flt, time_diff_in_hours, get_datetime, getdate, today, cint, add_days, get_link_to_form from frappe import _ from frappe.utils.xlsxutils import make_xlsx import json @frappe.whitelist() def send_s...
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class AnttechDataServiceBlockchainAccountQueryModel(object): def __init__(self): self._account_hash = None self._account_status = None self._at_tenant_name = None self._...
def minimum_bribes(q): q = [p - 1 for p in q] bribes = 0 for i, p in enumerate(q): if p - i > 2: return None for j in range(max(p - 1, 0), i): if q[j] > p: bribes += 1 return bribes
import collections import math import logging import torch import copy import numpy as np from naslib.optimizers.core.metaclasses import MetaOptimizer from naslib.search_spaces.core.query_metrics import Metric from naslib.utils.utils import AttrDict, count_parameters_in_MB from naslib.utils.logging import log_every_...
# -*- coding: utf-8 -*- import os import json import unicodedata from sqlalchemy import func from cornice import Service from cornice.resource import resource from .models import AdminZoneFinance, DBSession, AdminZone, Stats as StatsModel, ADMIN_LEVEL_CITY from .maps import timemap_registry, MAPS_CONFIG city_search =...
import argparse import json import logging import os import random import time import uuid from kafka import KafkaProducer CARD_NO= [ "2345796540876432", "7766554433221198", "9856342187654321", "7777744433667790" , "6538764975321765", "086543226688908"] TXN_CTRY = [ 'SG', 'TH', 'PH', ...
# Python Assert def attendance(days): assert len(days) !=0, "Days should not be empty" return 8 * days[0] print("Total number of hours is ",attendance([20])) print("Total number of hours is ",attendance([])) # Output # Traceback (most recent call last): # File "py-assert.py", line 8, in <module> # print...
""" This Python script executes a series of Python scripts and subroutines that prepare input public use census geography and surname data and constructs the surname-only, georgraphy-only, and BISG proxies for race and ethnicity. This file is set up to execute the proxy building code sequence on a set of ficitious dat...
from question_model import Question from data import question_data from quiz_brain import QuizBrain question_bank = [] for x in question_data: next_question = Question(x['question'], x['correct_answer']) question_bank.append(next_question) quiz = QuizBrain(question_bank) while quiz.has_next(): user_input ...
# -*- coding: utf-8 -*- # Program Name: print_cs.py # Anthony Waldsmith # 6/13/2016 # Python Version 2.7 # Description: Program to print "CS" ASCII-PUNK style # Must import print_function because I didn't update to Python 3.x yet. from __future__ import print_function # Imports extra utilities that I used to spice up...
from colorama import init, Fore, Style class Colors: def __init__(self): init() self.GREEN = Fore.LIGHTGREEN_EX self.YELLOW = Fore.LIGHTYELLOW_EX self.RED = Fore.LIGHTRED_EX self.ENDC = Style.RESET_ALL class Action: SCRAPE = 'scrape' GENERATE = 'generate' ...
#!/usr/bin/env python3 import dataclasses import pathlib import typing import unittest from unittest.mock import MagicMock, Mock, patch import numpy import torch import bunkai import bunkai.algorithm.lbd.predict from bunkai.algorithm.bunkai_sbd.annotator import MorphAnnotatorJanome from bunkai.base.annotation import ...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'C:/Users/lukas/PycharmProjects/zd_inventory/ui/zd_mail.ui' # # Created by: PyQt5 UI code generator 5.15.6 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you kno...
# coding=utf-8 # Copyright 2018-2020 EVA # # 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 ...
import pandas as pd import matplotlib.pyplot as plt import numpy as np import re import string from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.linear_model import PassiveAggressiveClassifier from flask import Flask, request, redirect, url_for, flash, jsonify import numpy as np import json impor...
import copy from dataclasses import replace from typing import Callable, Sequence, Tuple import numpy as np import pytest from .._evaluation import Evaluation, Quantity from ..evaluators import SegmentationEvaluator def get_random_prediction_and_mask( image_size: Tuple[int, int, int], num_classes: int ) -> Tupl...
#!/usr/bin/env python # -*- coding: UTF-8 -*- """ .. --------------------------------------------------------------------- ___ __ __ __ ___ / | \ | \ | \ / the automatic \__ |__/ |__/ |___| \__ annotation and \ | | ...
import numpy as np class DataClusterAnalysis: def __init__(self): pass def _getNumberOfPointsInCluster(self, data,clusterWidth): ''' take the first element in the data set and get the next n data points that are within the cluster. returns n ''' count = 1; ...
# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2017-12-09 13:05 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('webui', '0006_dataset_name'), ] operations = [ migrations.AddField( ...
import pytest from JDI.jdi_assert.testing.assertion import Assert from tests.jdi_uitests_webtests.main.enums.preconditions import Preconditions from tests.jdi_uitests_webtests.main.page_objects.epam_jdi_site import EpamJDISite from tests.jdi_uitests_webtests.test.init_tests import InitTests @pytest.mark.web class Sm...
"""A set of classes used to represent Mods in memory.""" # Disable warnings about 'too few class methods' # pylint: disable=R0903 from typing import List, NamedTuple, Type, Union def yaml_serializable(cls: Type[NamedTuple]): """Make a NamedTuple serializable by PyYAML.""" class Wrapper(object): """P...
"""Test the pyscript component.""" from ast import literal_eval import asyncio from datetime import datetime as dt import time import homeassistant.components.pyscript.trigger as trigger from homeassistant.const import EVENT_HOMEASSISTANT_STARTED, EVENT_STATE_CHANGED from homeassistant.setup import async_setup_compone...
from django.urls import path, include from django.contrib.auth import views as auth_views from . import views app_name = "users" urlpatterns = [ path("register", views.register, name="register"), path("update_profile", views.update_profile, name="update_profile") ]
import pandas as pd from pandas.core.frame import DataFrame from typing import Tuple def get_user_secondary_df(name: str, value_column: str) -> DataFrame: """ Args: name (str): value_column (str): Returns: DataFrame: """ df = pd.read_csv("data/user" + name + ".csv", enco...
#!/usr/bin/env python # Parse the options the user provided from the command line def option_parser(): parser = OptionParser() parser.add_option("-v", action="store_true", dest="verbose", default=False) parser.add_option("--inplace", action="store_true", dest="inplace", default=False) parser.add_option(...
import logging from PySide2 import QtWidgets from channel_box_plus import widgets from channel_box_plus import utils log = logging.getLogger(__name__) def execute(): """ Add the search interface and colouring functionality to Maya's main channel box. If channelBoxPlus is already installed a RuntimeErro...
word = "banana" check = "a" print(word.count(check))
import csv from django.core.management.base import BaseCommand from gsr_booking.models import GSR class Command(BaseCommand): def handle(self, *args, **kwargs): with open("gsr_booking/data/gsr_data.csv") as data: reader = csv.reader(data) for i, row in enumerate(reader): ...
import pr2hub import discord import math import re from discord.ext import commands from cogs.utils import exp class PR2(): def __init__(self, bot): self.bot = bot self.quoted = re.compile(r"\"(.+)\"") @commands.command(description="returns player information", aliases=[...
""" Helper functions for parsing python code, as required by ScriptTask """ import ast from itertools import chain import re import sys from typing import Container, Iterator, List, Tuple from ..exceptions import ScriptParseError _BUILTINS_WHITELIST = { "abs", "all", "any", "ascii", "bin", "c...
from flask import Flask, render_template_string from sucuri import rendering app = Flask(__name__) @app.route("/") def index(): template = rendering.template('template.suc',{"text": "Hello! I'm here!", "var":[1, 2, 3, 4]}) return render_template_string(template)
# Author: Qianru Zhou # Email: [email protected] # Magic, do not touch!! """ generate immature detector, a file with random 96 bits binary strings """ from random import randint def reduce_duplicate(inputPath, outputPath): """ delete the duplicate strings in the log for efficiency """ patterns = [] with open(in...
DEEPREACH_DIR = '/'.join(__file__.split('/')[:-2]) environment = f'{DEEPREACH_DIR}/environment.yml' not_installed = f'{DEEPREACH_DIR}/change_env_file/packages_not_found.txt' not_in_osx = f'{DEEPREACH_DIR}/change_env_file/not_in_osx.txt' desired_env = f'{DEEPREACH_DIR}/new_environment.yml' def remove_build(s: str) -> ...
#-*-coding:utf-8-*- import numpy as np import pandas as pd import time from bayes_smoothing import * from sklearn.preprocessing import LabelEncoder import copy def roll_browse_fetch(df, column_list): print("==========================roll_browse_fetch ing==============================") df = df.sort('context_...
#!/usr/bin/env python3 # from: http://sam.aiki.info/b/google-images.py # requires: selenium, chromium-driver, retry # # $ pip install webdriver_manager # $ pip install selenium retry # $ brew install chromedriver # install google.com/chrome from selenium import webdriver from webdriver_manager.chrome import ChromeDr...
import json from asynctest import mock as async_mock, TestCase as AsyncTestCase from .....cache.base import BaseCache from .....cache.in_memory import InMemoryCache from .....connections.models.conn_record import ConnRecord from .....connections.models.connection_target import ConnectionTarget from .....connections.m...
# # 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...
# -*- coding: utf-8 -*- import re import logging import warnings from scrapy import signals from scrapy.http import Request from scrapy.utils.httpobj import urlparse_cached logger = logging.getLogger(__name__) class DisallowDomainMiddleware(object): def __init__(self, stats): # type: ignore self.stats =...
import unittest from onedrive_client import od_stringutils class TestStringUtils(unittest.TestCase): INCREMENTED_FILE_NAMES = (('Folder', 'Folder 1'), ('Folder 1', 'Folder 2'), ('file.txt', 'file 1.txt'), ('file 1.txt', 'file 2.txt'), ('Folder 0', 'Fol...
from tf_bodypix.utils.v4l2 import VideoLoopbackImageSink from .api import T_OutputSink def get_v4l2_output_sink(device_name: str, **__) -> T_OutputSink: return VideoLoopbackImageSink(device_name) OUTPUT_SINK_FACTORY = get_v4l2_output_sink
# Copyright 2015 Google Inc. 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 a...
import numpy as np import pandas as pd import pytest from pandas.testing import assert_frame_equal def test_str_split(): "Test wrapper for Pandas ``.str.split()`` method." df = pd.DataFrame( {"text": ["a_b_c", "c_d_e", np.nan, "f_g_h"], "numbers": range(1, 5)} ) expected = df.copy() expe...
apiAttachAvailable = u'API verf\xfcgbar' apiAttachNotAvailable = u'Nicht verf\xfcgbar' apiAttachPendingAuthorization = u'Ausstehende Genehmigungsanfrage' apiAttachRefused = u'Abgelehnt' apiAttachSuccess = u'Erfolg' apiAttachUnknown = u'Unbekannt' budDeletedFriend = u'Aus Freundesliste gel\xf6scht' budFriend = u'Freund'...
# 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, ...
# Generated by Django 3.0.3 on 2020-10-13 10:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('modelzoo', '0021_auto_20201012_1423'), ] operations = [ migrations.AddField( model_name='model', name='github', ...
""" * Definition for singly-linked list. * function ListNode(val, next) { * this.val = (val===undefined ? 0 : val) * this.next = (next===undefined ? null : next) * } * @param {ListNode} l1 * @param {ListNode} l2 * @return {ListNode} """ def addTwoNumbers(l1, l2): pass
from setuptools import setup setup( name='get-bittrex-tick', version='1.0', description='A useful module', author='Shadowist', author_email='[email protected]', packages=['.'], #same as name install_requires=["requests"], #external packages as dependencies )
import logging import tempfile import time from ocs_ci.ocs.ui.views import locators, osd_sizes from ocs_ci.ocs.ui.base_ui import PageNavigator from ocs_ci.utility.utils import get_ocp_version, TimeoutSampler, run_cmd from ocs_ci.utility import templating from ocs_ci.ocs.exceptions import TimeoutExpiredError from ocs_c...
'''Spark Configuration In this file we define the key configuration parameters for submitting Spark jobs. Spark can be run in a variety of deployment contexts. See the Spark documentation at https://spark.apache.org/docs/latest/submitting-applications.html for a more in-depth summary of Spark deployment contexts and c...
from .models import StreamItem class ManyToManyDatabaseBackend(object): def add_stream_item(self, users, content, created_at): item = StreamItem.objects.create(content=content, created_at=created_at) item.users.add(*[user.pk for user in users]) def get_stream_items(self, user): retur...
# Separa el texto enviado por el usuario en la forma "comando resto" # Ejemplo: # "/comando ASDASd" # regresa ("comando","ASDASd") # # "/comando@MemesBot Test - Test , Red" # regresa ("comando","Test - Test , Red") # # "yao ming" # regresa ("yao ming","") def extraer_comando(text): if not text: return ("","") ...
import traceback import unittest from unittest.mock import Mock, patch from tests import resources from pyfootball.models.team import Team from pyfootball.models.fixture import Fixture from pyfootball.models.player import Player class TestTeam(unittest.TestCase): def test_init(self): try: Tea...
def isStringCharsUnique(incoming_string): for i in range(0, len(incoming_string)): for j in range(0, len(incoming_string)): if (i != j) and (incoming_string[i] == incoming_string[j]): print('Match Found - Positions: ' + str(i + 1) + ' & ' + str(j + 1)) # "+ 1" to avoid 0 position...
# Add parent folder to path import sys, os sys.path.insert(1, os.path.join(sys.path[0], '..')) import unittest import numpy as np from time import perf_counter from src.Equations.TaitEOS import TaitEOS, TaitEOS_B, TaitEOS_co class test_numba_taiteos(unittest.TestCase): def test_vec(self): rhos = np.linspa...
# -*- coding: utf8 -*- import sys # thank_you 関数を作成する def thank_you() -> None: print(""" ありがとう!(∩´∀`)∩ """) q = input("どういたしまして!") if q: sys.exit() def main() -> None: thank_you() if __name__ == '__main__': main()
# Generated by Django 2.2.16 on 2020-10-21 13:38 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('integration', '0004_gaenotpserversettings'), ] operations = [ migrations.AddField( model_name='gaenotpserversettings', ...
from yowsup.structs import ProtocolEntity, ProtocolTreeNode from .iq_result_groups import GroupsResultIqProtocolEntity from ..structs import Group class ListGroupsResultIqProtocolEntity(GroupsResultIqProtocolEntity): ''' <iq type="result" from="g.us" id="{{IQ_ID}}"> <group s_t="{{SUBJECT_TIME}}" creatio...
""" Utils used by hkp module. """ import subprocess import sys import os __all__ = ['cached_property'] class _Missing(object): def __repr__(self): return 'no value' def __reduce__(self): return '_missing' _missing = _Missing() class cached_property(object): """A decorator that conve...
#!/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 errno import io import os import pickle import select import stat import subprocess import sys from contextlib i...
import matplotlib.pyplot as plt import numpy as np def record_losses(input): f=open(input,encoding='utf-8') re_list=[] for line in f: li_str=str(line) if li_str.find("losses")!=-1: id=li_str.find("losses") re_list.append(float(li_str[id+8:-1])) print(re_list) ...
import requests import random import json import hashlib import hmac import urllib import uuid import time import copy import math import sys from datetime import datetime import calendar import os # Turn off InsecureRequestWarning from requests.packages.urllib3.exceptions import InsecureRequestWarni...
# Hello World program in Python print("Example of Python Tuples\n") # Create a Tuple: thistuple = ("apple", "banana", "cherry") print(thistuple) # You can access tuple items by referring to the index number: # Return the item in position 1: print(thistuple[1]) # You can loop through the tuple items by using a for l...