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import Rhino.Geometry as rg # import ghpythonlib.components as gh import math from generalFunctions import * from simpleStartStop import * from copy import deepcopy as dc # import Rhino.DocObjects as rd class Brick(object): def __init__(self, shell = None, pins = None, patterns = None, l_type = None, p_type = Non...
from UdonPie import UnityEngine from UdonPie.Undefined import * class CharacterValidation: def __new__(cls, arg1=None): ''' :returns: CharacterValidation :rtype: UnityEngine.CharacterValidation ''' pass
from neatrader.trading.engine import TradingEngine from neatrader.trading.stocksplit import StockSplitHandler from neatrader.trading.simulator import Simulator
import os import json import pytest import testinfra.utils.ansible_runner testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner( os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all') metricbeat_modules = ['cpu', 'load', 'diskio', 'files...
# # # Test of convergence diagnostics # # from __future__ import with_statement from numpy.testing import assert_equal, assert_array_equal from numpy.testing import assert_approx_equal, TestCase import unittest import nose import numpy as np import pymc import pymc.examples.weibull_fit as model import os import warnin...
from __future__ import absolute_import from __future__ import division from __future__ import print_function from compas.geometry import bounding_box from compas.geometry import bounding_box_xy __all__ = [ 'mesh_bounding_box', 'mesh_bounding_box_xy', ] def mesh_bounding_box(mesh): """Compute the (axis...
import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="metabu", version="0.0.1", author="Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivon, Michele Sebag, and Marc Schoenauer", author_email="herilalaina.rakotoarison@inria.fr, milijao...
from challenges.data_structure.graph.graph import * import pytest # Node can be successfully added to the graph def test_add_vertex(): g = Graph() zero = Vertex(0) actual = g.add_vertex(zero) expected =[] assert actual == expected # An edge can be successfully added to the graph def test_add_ed...
# -*- coding: utf-8 -*- from datetime import datetime from MOEXBondScrinner import BondsMOEXDataRetriever, BondsMOEXFilter, BondsCustomCalculationAndFilter, BondsCSVWriter # Set personal parameters filter_description_dict = {'max_bond_value': 100000, 'max_expiration_date': datetime(2030, 1, ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Mar 26 09:00:01 2021 @author: mike """ import os import xarray as xr # import cdsapi ###################################### ### Parameters save_path = '/media/sdb1/Data/ecmwf/era5-land' parameter = '2m_temperature' dem = 'geo_1279l4_0.1x0.1.grib2_v4_...
from ants_impl import WorkerAnt, SoldierAnt, NurseAnt from core.ant_queen import AntQueen if __name__ == '__main__': ants = [WorkerAnt(), SoldierAnt(), NurseAnt()] ant_queen = AntQueen(ants) ant_queen.do_morning_routine()
from dataset.data_model import HandDataModel def unpack_data(results, is_eval = False): joint_out = results['joint'] heatmap = None heatmap_true = None if not is_eval: heatmap = results['heatmap'] heatmap_true = results['heatmap_true'] heatmap_reprojected = results['heatmap_repr...
# Standard library import warnings # Third-party import astropy.units as u from astropy.coordinates import (Galactic, CartesianRepresentation, SphericalRepresentation, CartesianDifferential, SphericalDifferential, Spheri...
class QueueException(Exception): pass class QueueWriteException(QueueException): pass class QueueReadException(QueueException): pass class QueueRemoveException(QueueException): pass class DataStoreGetException(QueueException): pass class DataStorePutException(QueueException): pass class DataStoreTimeout(QueueExceptio...
from datetime import datetime, timedelta from enum import Enum from ..bits import Bits # https://www.navcen.uscg.gov/?pageName=AISMessagesA class NavigationStatus(Enum): USING_ENGINE = 0 AT_ANCHOR = 1 NOT_UNDER_COMMAND = 2 RESTRICTED_MANOEUVERABILITY = 3 ...
import pandas as pd import logging from pathlib import Path from quarantine.model.qobject import * from quarantine.model.qlocation import * class QMapFactory(): def __init__(self): pass @staticmethod def load(file_name: str): # Create path for the file that we are going to load ...
# + polarisation import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from IPython.display import clear_output from matplotlib import animation import scipy as sp import mpl_toolkits.mplot3d.axes3d as p3 figure = plt.figure(figsize=(9,9)) axis = p3.Axes3D(figure) plot = list() d...
# py_vsk/py_vsk.py # exec(open('py_vsk/py_vsk.py').read()) # 0.0.5 from scipy.stats import norm, chisquare, ks_2samp, multivariate_normal from scipy.optimize import minimize, minimize_scalar from statsmodels.distributions import empirical_distribution from py_mob import qcut import numpy ########## 01. vsk_mle() ###...
import youtube_dl from pathlib import Path import os def run(): video_url = input("please enter youtube video url:") # make download directory directory Path.cwd().joinpath("download").mkdir(parents=True, exist_ok=True) video_info = youtube_dl.YoutubeDL().extract_info( url=video_url, download=...
# MIT License # # Copyright (C) IBM Corporation 2018 # # 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 # rights to use, copy, modify, merge...
from .url import url,index_url import urllib,json def query_url(obj_type,query): search_url = '_search' return index_url.add_path(obj_type).add_path(search_url).add_query(query) def query(url): return json.loads(urllib.request.urlopen(url.to_url()).read().decode("utf8")) if __name__ == '__main__': ...
import numpy as np import pandas as pd import unittest import io import sys from context import grama as gr from context import data ## Test the built-in datasets ################################################## class TestData(unittest.TestCase): def setUp(self): pass def test_make(self): ...
import unittest from app.models import Articles class ArticlesTest(unittest.TestCase): ''' Test Class to test the behaviour of the Movie class ''' def setUp(self): ''' Set up method that will run before every Test ''' self.new_article = Articles('CNN','Peter Polle','The...
import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="slidingwindow_generator", # Replace with your own username version="1.0.6", author="Jaeyeon Kim", author_email="anencore94@gmail.com", description="Generate Sliding Window from Time Serie...
from functools import reduce from itertools import filterfalse def calculate_max_until_now(endpoint_map, logline): try: if logline[9].strip('-\n') != '': endpoint_map[logline[6]]['count'] += 1.0 endpoint_map[logline[6]]['average'] = float( (endpoint_map[logline[6]][...
from items import Item import random class Consumable(Item): def __init__(self, name, description, value, health): self.health = health super().__init__(name, description, value, health) def __str__(self): return "{}\n=====\n{}\nValue: {}\nDamage: {}\nDamage: {}".format(self.name, self...
from rest_framework import permissions SAFE_METHODS = ('GET', 'HEAD', 'OPTIONS') class ReadOnly(permissions.BasePermission): """ The endpoint is read-only request. """ def has_permission(self, request, view): return ( request.method in SAFE_METHODS )
import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import sys import Swing import uuid import pickle import pandas as pd from Swing.util.Analyzer import Analyzer from datetime import datetime """ This pipeline scans a range of window sizes for a given inference method and generates roller objects ...
""" Implements the maximum marginal relevance (MMR) algorithm and related functionality """ import numpy as np from utils.logger import get_logger from .diversity import load_similarity_func, gaussian_similarity # Global variable for logging logger = get_logger() DEFAULT_SIMILARITY = gaussian_similarity() # Note f...
import os import sys from hashlib import sha256 import json import time import logging from src.bot import Bot from scraper.scraper_config import hashtags, handles logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) formatter = logging.Formatter("[%(asctime)s]: [%(levelname)s]: %(name)s: %(message)s ",...
# Generated by Django 2.0.5 on 2018-10-25 18:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('INT', '0023_auto_20181014_1909'), ] operations = [ migrations.AddField( model_name='notification', name='hide_conten...
from quantsim import Qubit, H, CNOT, D if __name__ == '__main__': q1, q2 = Qubit(), Qubit() q1 - H q1@q2 - CNOT(1, 2) - D
import subprocess from functools import partial from discord.ext import commands class Debug(commands.Cog): def __init__(self, bot): self.bot = bot self.newline = "\n" # f-strings dont allow backslaches, screw that def clean(self, code): # Strip codeblock formatting from the message i...
# Copyright 2017-present Open Networking Foundation # # 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 ag...
from io import BytesIO import mock from twisted.internet import defer from twisted.test import proto_helpers from twisted.trial import unittest from lbrynet.core import Peer from lbrynet.core.server import BlobRequestHandler from lbrynet.core.PaymentRateManager import NegotiatedPaymentRateManager, BasePaymentRateMana...
from pyblake2 import blake2b # type: ignore from typing import ( List ) from pytezos.crypto.encoding import base58_encode, base58_decode def _hash_tuple(left: bytes = b'', right: bytes = b'') -> bytes: return blake2b(left + right, digest_size=32).digest() def _reduce_operation_hashes(hashes: List[bytes]) ...
# encoding: utf-8 from __future__ import division, print_function, unicode_literals ########################################################################################################### # # # Reporter Plugin # # Read the docs: # https://github.com/schriftgestalt/GlyphsSDK/tree/master/Python%20Templates/Reporter ...
"""Bitcoin Object Python Serializations. Copyright (c) 2010 ArtForz -- public domain half-a-node Copyright (c) 2012 Jeff Garzik Copyright (c) 2010-2016 The Bitcoin Core developers Distributed under the MIT software license, see the accompanying file COPYING or http://www.opensource.org/licenses/mit-license.php. Modi...
import pytest from cornflake.exceptions import ValidationError from cornflake.validators import max_ def test_valid(): value = max_(10)(5) assert value == 5 def test_less_than(): max_(10)(9) def test_equal(): max_(10)(10) def test_greater_than(): with pytest.raises(ValidationError): ...
from django.apps import AppConfig class ExerciseConfig(AppConfig): name = 'exercise'
import os, subprocess, tempfile, re from aiohttp import web from homeassistant.components.http import HomeAssistantView from .const import DOMAIN, URL from .shaonianzhentan import delete_file, move_file, github_url, download, mkdir, load_content, save_content, fetch_text class HAView(HomeAssistantView): url = URL...
""" Administrative interface for personal app """ from django.contrib import admin from .models import ( Skill, Image, Event, Technology, Testimonial, Job, Project, Link, OpenSourceContribution, ) class LinkAdmin(admin.ModelAdmin): """ Administrative interface for Link mo...
# -*- coding: utf-8 -*- """ Created on Tue Mar 06 10:48:52 2018 @author: B """ import cv2 import numpy as np import os def zeroone(img): img[img<128]=0 img[img>=128]=1 return img def labels(img): ret, thresh = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU) conn...
""" OWLS data-file handling function """ from __future__ import print_function #----------------------------------------------------------------------------- # Copyright (c) 2014, yt Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, dist...
# coding: utf-8 """ This modules holds methods for generating predictions from a model. """ import os import sys from typing import List, Optional from logging import Logger import numpy as np import torch from torchtext.data import Dataset, Field from joeynmt.helpers import bpe_postprocess, load_config, make_logger,...
# Copyright (C) 2019 Intel Corporation. All rights reserved. # # SPDX-License-Identifier: BSD-3-Clause # import re import sys import common import collections BOARD_NAME = '' BIOS_INFO = ['BIOS Information', 'Vendor:', 'Version:', 'Release Date:', 'BIOS Revision:'] BASE_BOARD = ['Base Board Information', 'Manufacture...
from ply import lex import ast keywords = ( 'AND', 'OR', 'XOR', 'NOT', 'END', 'PRINT', 'MAIN', 'IF', 'THEN', 'ELSE', 'ELSEIF', 'WHILE', 'DO', 'FOR', 'TO', 'DOWNTO', 'FOREACH' ) tokens = keywords + ( 'LPAREN', 'RPAREN', 'LBRACE', 'RBRACE', 'LBRACKET', 'RBRACKET', 'PLUS', 'MINUS', 'TIMES', 'DIV', 'MOD', 'PO...
from __future__ import absolute_import import os import re from ast import parse from pathlib import Path from inspect import getsource from importlib import import_module from pkg_resources import resource_filename from inflect import engine from grpc_tools import protoc from django.apps import apps from django.con...
# -*- coding: utf-8 -*- import traceback import logging import time from confluent_kafka import avro, KafkaException from confluent_kafka.avro import AvroProducer, SerializerError from queue import SimpleQueue class Producer: def __init__(self, *topics, broker, schema_registry, schema, logging_enabled = False): ...
""" Map muncher - Convert property-annotated maps to runnable output. * If the input file is given as .blend, run blend2bam on it. * Pretag * Find all nodes with `linked_collection` tag * If such a node also has a `linked_file` tag, the given file is the authoritative source for the model to use, and the value o...
# -*- coding: utf-8 -*- # # rtk.dao.RTKIncidentDetail.py is part of The RTK Project # # All rights reserved. # Copyright 2007 - 2017 Andrew Rowland andrew.rowland <AT> reliaqual <DOT> com """ =============================================================================== The RTKIncidentDetail Table ==============...
def hows_the_parrot(): print("He's pining for the fjords!") hows_the_parrot() def lumberjack(name, pronoun): print("{}'s a lumberjack and {} OK!".format(name, pronoun)) lumberjack("Kenneth", "he's") lumberjack("Lacey", "she's") lumberjack("Sam", "they're") def average(num1, num2): return (num1+num2)...
from pickle import dump, load import pandas as pd import numpy as np from models import Poly from solver import exact_cover, solve def exact_cover_matrix(board): shapes = board.usable_shapes names = board.usable_names Y = {} X = board.placeable_area | shapes for name in names: ...
# Copyright 2021 Alibaba Group Holding Limited. 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 ...
import pytest import vaex import vaex.webserver import numpy as np import contextlib import sys test_port = 29110 + sys.version_info[0] * 10 + sys.version_info[1] scheme = 'ws' @contextlib.contextmanager def small_buffer(ds, size=3): if ds.is_local(): previous = ds.executor.buffer_size ds.executor...
print("Hi!") name = input("What's your name? ") print("It's nice to meet you,", name) answer = input("Are you enjoying the course? ") if answer == "Yes": print("That's good to hear!") else: print("Oh no! That makes me sad!")
import sys sys.path.insert(1,"../../../") import h2o from tests import pyunit_utils from h2o.estimators.gbm import H2OGradientBoostingEstimator def test_staged_predict_proba(): prostate = h2o.import_file(path=pyunit_utils.locate("smalldata/prostate/prostate.csv")) prostate["CAPSULE"] = prostate["CAPSULE"].asfa...
# -*- coding:utf-8 -*- # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # This program is free software; you can redistribute it and/or modify # it under the terms of the MIT License. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the ...
# we write a function that computes x factorial iteratively def simpleFactorial(x): # we check that x is positive if x < 0: raise Exception("factorials of non-negative numbers only") # we initialize y to 1 y = 1 # we loop through all integers from 1 to x and multiply them onto y for k in range(1, x+1): y ...
import warnings from typing import Iterable, Set, List, Iterator, Union, Tuple, Dict import pyhpo from pyhpo import Ontology from pyhpo.matrix import Matrix class HPOSet(set): def __init__(self, items: Iterable['pyhpo.HPOTerm']) -> None: set.__init__(self, items) self._list: List['pyhpo.HPOTerm']...
import socket # noqa E902 from _thread import * from board import Board import pickle import time s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server = "localhost" port = 5555 server_ip = socket.gethostbyname(server) try: s.bind((server, port)) except socket.error as e: print(str(e)) s.listen() p...
from qiskit import QuantumCircuit from qc_grader.grade import grade_circuit, grade_number, submit_circuit, submit_number criteria: dict = { 'max_qubits': 28, 'min_cost': 30 } def grade_ex1a(circuit: QuantumCircuit) -> None: if grade_circuit(circuit, 'week1', 'exA', **criteria): print('Feel free...
# import necessary libraries import os from flask import ( Flask, render_template, jsonify, request, redirect) ################################################# # Flask Setup ################################################# app = Flask(__name__) ################################################# #...
from django.shortcuts import render from django.urls import include, path from rest_framework.views import APIView from rest_framework.response import Response from rest_framework.decorators import renderer_classes, api_view from rest_framework import authentication, permissions, status from ajax.views import que...
"""Forms for working with Sync and SyncLogEntry models.""" from django import forms from nautobot.utilities.forms import add_blank_choice, BootstrapMixin, BOOLEAN_WITH_BLANK_CHOICES from .choices import SyncLogEntryActionChoices, SyncLogEntryStatusChoices from .models import Sync, SyncLogEntry class SyncFilterForm...
""" A custom matcher plugin example. """ from hamcrest.core.base_matcher import BaseMatcher from hamcrest.core.description import Description from preacher.compilation.verification import MatcherFactoryCompiler from preacher.plugin import hookimpl class IsEven(BaseMatcher[int]): """ A custom matcher example...
import torch import numpy as np import logging log = logging.getLogger() def apply_box_deltas(boxes, deltas): """Applies the given deltas to the given boxes. boxes: [N, 4] where each row is y1, x1, y2, x2 deltas: [N, 4] where each row is [dy, dx, log(dh), log(dw)] """ # Convert to y, x, h, w he...
import streamlit as st import amplitude import utils def main(session_state): user_analytics = amplitude.gen_user(utils.get_server_session()) opening_response = user_analytics.safe_log_event( "opened saude_em_ordem_description", session_state, is_new_page=True ) st.subheader("O que é?") ...
from flask import jsonify from werkzeug.exceptions import default_exceptions from werkzeug.exceptions import HTTPException class JsonExceptionHandler(object): """ This class Handles Http errors :returns: json object """ def __init__(self, app): """ Initialize the app to handle inc...
from abc import abstractmethod import numpy as np from .types_misc import CheckType from ..interface import Contract, ContractNotRespected, RValue, eval_in_context from ..syntax import W, Keyword, add_contract, add_keyword class ArrayElementsTest(Contract): @abstractmethod def test_elements(self, context, ...
# coding: utf-8 """ Given a config file, create a master inference.hdf5 file. """ from __future__ import division, print_function __author__ = "adrn <adrn@astro.columbia.edu>" # Standard library import os, sys import logging import glob # Third-party import acor import h5py import numpy as np import astropy.units ...
# # @lc app=leetcode id=1248 lang=python3 # # [1248] Count Number of Nice Subarrays # # @lc code=start class Solution: def numberOfSubarrays(self, nums: List[int], k: int) -> int: def Most(k): res = 0 l = 0 for r in range(len(nums)): k -= nums[r] % 2 ...
# -*- coding: utf-8 -*- # Copyright 2018 New Vector Ltd # # 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 la...
from app import db class CasesStatus(db.Model): __tablename__ = "casesstatus" id = db.Column(db.Integer, primary_key=True) reported_date = db.Column(db.DateTime, index=True) confirmed_negative = db.Column(db.Integer) presumptive_negative = db.Column(db.Integer) presumptive_positive = ...
import numpy as np from collections import Counter from nar_module.nar.nar_model import get_list_id class RecentlyPopularRecommender(): def __init__(self): pass def get_recent_popular_item_ids(self): # get item recent buffer from google service # recent_items_buffer = self.clicked_it...
""" Implements classical histogram equalization / matching. These function support images as either numpy or cupy arrays. The histeq_trans() function does accept the histogram arguments as cupy arrays but immediately converts to numpy arrays and always returns a numpy array. """ from .util import check_image_mask_sin...
#!/usr/bin/env python # -*- coding: utf-8 -*- ############################################################################### """ This file is a part of the VeRyPy classical vehicle routing problem heuristic library and provides an implementation of the Gillet & Miller (1974) Sweep heuristic. The script is callable an...
from pprint import pprint import networkx as nx import matplotlib.pyplot as plt a, b, c, d, e, f, g, h = range(8) N = { a: [b, c, d, e, f], b: [c, e], c: [d], d: [e], e: [f], f: [c, g, h], g: [f, h], h: [f, g] } G = nx.from_dict_of_lists(N) nx.draw(G) plt.show() print(type...
from __future__ import print_function import sys from proton.handlers import MessagingHandler from proton.reactor import Container class ReceiveHandler(MessagingHandler): def __init__(self, conn_url, address, desired): super(ReceiveHandler, self).__init__() self.conn_url = conn_url self....
from urllib import request, error from socket import timeout from datetime import datetime import json from . import aws_utility from . import logger from . import config graphql_api_key = aws_utility.get_graphql_api_key() graphql_api_url = aws_utility.get_graphql_api_url() def _request_headers() -> dict: retur...
description = 'Setup for the ANDOR CCD camera at BOA using the CCDWWW server' motprefix = 'SQ:BOA:mcu1:DCCDATZ' counterprefix = 'SQ:BOA:counter' excludes = ['embl', 'andor'] devices = dict( dccdatz = device('nicos_ess.devices.epics.motor.EpicsMotor', epicstimeout = 3.0, description = 'Andor focus...
class Solution: def lengthOfLongestSubstring(self, s: str) -> int: c = 0 out = [] for i, j in zip(s, s[1:]): if i != j : out.append(i) out.append(j) print(i,j) return len(out) if __name__ == "__main__": sln =...
from enum import Enum from subprocess import call import logging import time class CameraFactory(object): """description of class""" log = logging.getLogger('SemBrain') def __init__(self): CameraFactory.log.info('CameraFactory.init') def ExecuteCommand(self, filename): CameraFactory.l...
from .covid19 import bp as co_bp from .statistics import bp as st_bp
"""Generate different pathways of the book, as determined by profiles.yml.""" import sys from argparse import ArgumentParser from pathlib import Path from shutil import copytree from subprocess import run from sys import exit as sys_exit from yaml import Loader, load from pathways import landing_page from pathways.ba...
from .base import GnuRecipe class FriBidiRecipe(GnuRecipe): def __init__(self, *args, **kwargs): super(FriBidiRecipe, self).__init__(*args, **kwargs) self.sha256 = '94bdfe553e004d8bd095b109e1826823' \ '11dd511740d5083326d1582f1df237be' self.name = 'fr...
# -*- coding: utf-8 -*- """ Created on Wed Jun 19 15:10:33 2019 @author: LaurencT """ import re import numpy as np def create_target_population(cov_pop_burden_df, param_df, index): """Adds a new column to cov_pop_burden_df which is the target population Inputs: cov_pop_burden_df - a df which mu...
# -*- coding: utf-8 -*- import argparse import inspect import math import numpy as np import os from PIL import Image from pprint import pprint import sys # add parent directory to sys path to import relative modules currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os...
# -*- coding: utf-8 -*- import os import sys import six import json import tccli.options_define as OptionsDefine import tccli.format_output as FormatOutput from tccli import __version__ from tccli.utils import Utils from tccli.exceptions import ConfigurationError, ClientError, ParamError from tencentcloud.common import...
import pygame SWITCH_SCENE = pygame.USEREVENT + 1 CONSOLE_PRINT = pygame.USEREVENT + 2 COMMAND = pygame.USEREVENT + 3
import pyvista import vtk import numpy as np # # Create an empty grid # grid = pyvista.RectilinearGrid() # # Initialize from a vtk.vtkRectilinearGrid object # vtkgrid = vtk.vtkRectilinearGrid() grid = pyvista.RectilinearGrid(vtkgrid) # # Create from NumPy arrays # xrng = np.arange(-10, 10, 2) yrng = np.arange(-10, 10, ...
# -*- coding: utf-8 -*- import time from odoo import api, models, _ from odoo.exceptions import UserError class ReportAgedPartnerBalance(models.AbstractModel): _inherit = 'report.accounting_pdf_reports.report_agedpartnerbalance' @api.model def _get_report_values(self, docids, data=None): if not ...
#!/usr/bin/env python """ The Resource Expert Droid State container. RedState holds all test-related state that's useful for analysis; ephemeral objects (e.g., the HTTP client machinery) are kept elsewhere. """ __author__ = "Mark Nottingham <mnot@mnot.net>" __copyright__ = """\ Copyright (c) 2008-2011 Mark Nottingha...
import multiprocessing import os import time import traceback from typing import List, Any from ipx import Arrow, SharedMemoryArrow def new_arrow() -> SharedMemoryArrow: return SharedMemoryArrow.new(size=96, name='0x00ABCDEF') # return SharedMemoryArrow.new(size=64, name=None) def del_arrow(arrow: SharedM...
P1_CHAR = "1" P2_CHAR = "2" class ChessPiece(object): """ This class is used entirely for inheretence for other chess piece classes. """ def __init__(self, row, col, player): assert 0 <= row < 8 assert 0 <= col < 8 assert player in (P1_CHAR, P2_CHAR), "player: {} error".format(...
import matplotlib.pyplot as plt import numpy as np import umap from scipy import integrate from pacmap import PaCMAP from data_prepare import data_prep cmap_fig = plt.cm.get_cmap("Spectral") cmap = plt.cm.get_cmap("RdYlGn_r") cmap_ = plt.cm.get_cmap("gist_yarg") # If you would like discrete ladders, use ladder_map ...
import asyncio import aiohttp import socket import json from typing import Dict, List, Callable from asyncio_throttle import Throttler #enable nested async calls for use in Jupyter notebooks try: import nest_asyncio nest_asyncio.apply(loop=asyncio.get_event_loop()) except: pass class AsyncHttpMixin: h...
# Copyright 2018 PerfKitBenchmarker 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...
# # Metrix++, Copyright 2009-2019, Metrix++ Project # Link: https://github.com/metrixplusplus/metrixplusplus # # This file is a part of Metrix++ Tool. # from metrixpp.mpp import api # load common utils for post processing tools from metrixpp.mpp import utils class Plugin(api.Plugin, api.IR...
import numpy as np from scipy import signal import streamlit as st import control import matplotlib.pyplot as plt st.title('PID Controller') '''Process Parameters''' # Transfer function - Process K = float(st.text_input("Process gain","3")) T = float(st.text_input("Time constant","4")) num_p = np.array([K]) den_p ...