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from typing import List, Tuple from sklearn.feature_extraction.text import CountVectorizer from sklearn.decomposition import LatentDirichletAllocation # Auxiliary LDA Functions def print_topics(model, vectorizer, top_n: int=10)-> List: """Print the top n words found by each topic model. Args: mo...
"""MIT License Copyright (c) 2021 Jacopo Schiavon 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, publish...
# # 02_led_wiringpi_softpwm.py # import wiringpi LED_PORT = 18 PWM_RANGE = 100 # Software PWM wiringpi.wiringPiSetupGpio() wiringpi.pinMode(LED_PORT, wiringpi.GPIO.PWM_OUTPUT) wiringpi.softPwmCreate(LED_PORT, 0, PWM_RANGE) # LEDを2秒間点灯する for duty in (5, 20, 50, 80, 100): print(duty) wiringpi.softPwmWrite(LED...
#!/usr/bin/ipython import os, pdb import argparse from data_loader import get_loader from torch.backends import cudnn import config as cfg def main(config): # For fast training cudnn.benchmark = True # Create directories if not exist if not os.path.exists(config.log_path): os.makedirs(config....
# Lint as: python3 """Generate the RSS feeds.""" import sys import json import logging import datetime import os from feedgen.feed import FeedGenerator from compile import augment_post, render_post logging.basicConfig(level=logging.DEBUG) ROOT = os.path.dirname(os.path.realpath(__file__)) RSS_FILENAME = "rss.xml" BL...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'read_excel_main_code.ui' # # Created by: PyQt5 UI code generator 5.11.3 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets import xlrd import xlwt import xlsxwriter from xlutils.c...
import os import sys import time import imp import runpy import traceback import argparse import logging from multiprocessing import Process from watchdog.observers import Observer from watchdog.events import PatternMatchingEventHandler def run_module(module, function=None): if function is not None: # run it as a mo...
# Generated by Django 2.2.1 on 2019-05-19 11:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0006_projectmember'), ] operations = [ migrations.AlterField( model_name='projectmember', name='role', ...
import ssl import socket import asyncio import logging import collections from asyncio import sslproto from email._header_value_parser import get_addr_spec, get_angle_addr from email.errors import HeaderParseError from public import public from warnings import warn __version__ = '1.1' __ident__ = 'Python SMTP {}'.fo...
"""This module manage the default settings for eo_utils module""" import os import sys # Package location EO_PACKAGE_BASE = os.path.abspath(os.path.join(__file__, '..', '..', '..', '..', '..')) DEFAULT_CALIB_FILE = os.path.join(EO_PACKAGE_BASE, 'templates', 'calib_flavor.yaml') # SITE DEPENDENT STUFF SITE = os.en...
import os import cPickle import random import numpy as np import scipy.sparse as sp from w2v import load_word2vec import theano import theano.tensor as T import lasagne class CNN_model(object): def __init__(self, args): # Model Hyperparameters self.sequence_length = args.sequence_length se...
import os import shutil from cStringIO import StringIO import boto.s3.connection import boto.s3.key import config class Storage(object): """ Storage is organized as follow: $ROOT/images/<image_id>/json $ROOT/images/<image_id>/layer $ROOT/repositories/<namespace>/<repository_name>/<tag_name> ""...
import abc from six import with_metaclass class Container(with_metaclass(abc.ABCMeta, object)): @classmethod def type_hierarchy(cls): return cls.__mro__ class Data(Container): @abc.abstractproperty def data(self): ''' The data that is held by this Container ''' ...
import torch import torch.nn as nn from src.config import WrapperConfig class PromptEncoder(nn.Module): def __init__(self, config: WrapperConfig, prompt_length: int, embeddings: nn.Embedding): super(PromptEncoder, self).__init__() self.config = c...
"""df[{}] = df[{}].astype({})""" def run(dfs: dict, settings: dict) -> dict: """df[{}] = df[{}].astype({})""" if 'columns' not in settings: raise Exception('Missing columns param') dfs[settings['df']] = dfs[settings['df']].astype(settings['columns']) return dfs
import unittest from abpytools import ChainCollection from abpytools.features.composition import * class SequenceCompositionTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.chain = ChainCollection.load_from_file(path='./tests/Data/chain_collection_1_light.json') cls.chain.load()...
from django.contrib import admin from rules.models import TypeRule, Rule admin.site.register(TypeRule) admin.site.register(Rule)
import sys input = sys.stdin.readline x, y, z = map(int, input().split()) for i in range(1, x): if y * i + z * (i + 1) > x: print(i - 1) exit()
from mighty.applications.shop.models.items.discount import Discount from mighty.applications.shop.models.items.service import Service from mighty.applications.shop.models.items.item import Item __all__ = ( Discount, Service, Item, )
# -*- coding: utf-8 -*- """ Cryptide NSFW Cog ~~~~~~~~~~~~~~~~~ This Allows NSFW Commands That Need/Use Cog Functions To Be Used As An Extension. :copyright: (c) 2021 Trenton "Kawasaki" G :terms: No Public Use :visibilty: Private Cog """ #Discord import discord from discord.ext import commands #...
from __future__ import annotations from typing import ( TYPE_CHECKING, Any, Callable, Iterable, List, Optional, Union, ) from warnings import warn from sanic.constants import HTTP_METHODS from sanic.exceptions import InvalidUsage if TYPE_CHECKING: from sanic import Sanic from san...
from benchmark import * import oneflow_benchmark from flowvision.models.poolformer import poolformer_s12 from flowvision.models.poolformer import poolformer_s24 from flowvision.models.poolformer import poolformer_s36 from flowvision.models.poolformer import poolformer_m36 from flowvision.models.poolformer import poolfo...
# -*- coding: utf-8 -*- """ Data models for the Drycc Manager API. """ import logging import uuid from django.db import models logger = logging.getLogger(__name__) class AuditedModel(models.Model): """Add created and updated fields to a model.""" created = models.DateTimeField(auto_now_add=True) updat...
from typing import NamedTuple class Material(NamedTuple): temp_coeff: float rho_0: float @property def conductivity_0(self) -> float: """The conductivity of the material. Returns: float: The conductivity of the material. """ return 1 / self.rho_0 ALUMINI...
# This file contains all the global variables that can be shared with different functions written in different files current_tab = 0 progressbar_maximum = 0 progressbar_value = 0 progress_value = 0 progressbarlabel_text = None progress_text = '' trainingDataNumInstances = None trainingDataNumClasses = None trainingDat...
# -*- coding: utf-8 -*- # Part of BrowseInfo. See LICENSE file for full copyright and licensing details. from odoo import api, fields, models, _ # classes under cofigration menu of laboratry class medical_test_type(models.Model): _name = 'medical.test_type' name = fields.Char('Name', required = True) ...
""" Main server file. Contains the HTTP request handlers to access and create shortened URLs. """ # Library imports. from datetime import datetime from flask import abort, Flask, jsonify, make_response, redirect, request from flask_sqlalchemy import SQLAlchemy from sqlalchemy import exc from werkzeug.exceptions import...
# References: # - Original model: https://google.github.io/mediapipe/solutions/face_detection.html # - Pumpkin image: https://pixabay.com/photos/pumpkin-fruit-orange-fall-2805140/ import cv2 import mediapipe as mp import numpy as np from utils.pumpkin_face_utils import read_pumpkin_image, draw_pumpkins show_webcam ...
#coding:utf-8 # # id: bugs.core_6266 # title: Deleting records from MON$ATTACHMENTS using ORDER BY clause doesn't close the corresponding attachments # decription: # Old title: Don't close attach while deleting record from MON$ATTACHMENTS using ORDER BY clause. # ...
from graphql import GraphQLSchema, GraphQLResolveInfo import frappe def bind(schema: GraphQLSchema): schema.mutation_type.fields["deleteDoc"].resolve = delete_doc_resolver def delete_doc_resolver(obj, info: GraphQLResolveInfo, **kwargs): doctype = kwargs.get("doctype") name = kwargs.get("name") doc...
from bson.objectid import ObjectId from marshmallow import Schema, fields, post_load import database from datetime import datetime class Hardware(): def __init__(self, name = "", capacity = 0, unitPrice = 0.0, unitsUsed = 0): self.name = name self.capacity = capacity self.unitPrice = unitP...
# coding: utf-8 from collections import defaultdict import factors as fs class NthNumbersDistribution(object): """ TODO: memoize, persist """ def __init__(self, n): """ ..note:: does not include the number n """ self.ffs = [fs.factor(x) for x in xrange(n)] def max_...
import fastai.optimizer as opt from functools import partial def get_optimizer(run_params): # Scheduling # FixMatch is highly influenced by the Optimizer and its parameters # TODO: Study which parameters are best for this use-case if run_params["SSL"] == run_params["SSL_FIX_MATCH"]: # sched = ...
import math as m import measure as ms Ui = [ [5.864, 5.409, 4.958, 4.528, 4.078, 3.620, 3.206, 2.802, 2.424, 2.081, 1.760, 1.432, 1.172, 0.911, 0.690, 0.488, 0.332, 0.200, 0.095, 0.028], [6.060, 5.630, 5.183, 4.731, 4.273, 3.831, 3.389, 2.974, 2.575, 2.200, 1.869, 1.546, 1.234, 0.976, 0.735, 0.513, 0.329, 0.186...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.Create...
from sqlalchemy.orm import sessionmaker from sqlalchemy import create_engine class DBConnect: ''' A class for managing dbconnection ''' def __init__(self, **data): data.setdefault('dbhost', '') data.setdefault('dbport', '') data.setdefault('dbuser', '') data.setdefault('dbpass', '') data.se...
from loguru import logger import functools def __msg_formatter(error_msg, arg_tuple, arg_name): if (len(arg_tuple) > 0): error_msg += "\n" + arg_name + ":{}".format(arg_tuple) return error_msg def log_wrapper(log_start: bool = True, log_end: bool = True, log_exception: bool = True, throw_exception: ...
import pathlib import torch import numpy as np project_root = pathlib.Path(__file__).resolve().parents[2] __all__ = ['project_root']
# -*- coding: utf-8 -*- """ Created on May 20 2021 @author: Prosenjit A linear slider to graphically enter data TODO: Popup dialog """ from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import Qt, pyqtSignal from typing import Union from math import sqrt from .display_config import ICDisplayConfig from .b...
import asyncio import itertools import sys def countdown(n=1) -> str: print(n) pass async def spin(msg): write, flush = sys.stdout.write, sys.stdout.flush for char in itertools.cycle('|/-\\'): status = char + ' ' + msg write(status) flush() write('\x08' * len(status))...
# Copyright (c) Facebook, Inc. and its affiliates. import colorsys import numpy as np from enum import Enum, unique import cv2 import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.colors as mplc import matplotlib.figure as mplfigure import pycocotools.mask as mask_util from matplotlib.backends.bac...
import sys from time import sleep import random class colors: OKBLUE = '\033[94m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' CBLACK = '\33[30m' CRED = '\33[31m' CGREEN = '\33[32m' CYELLOW = '\33[33m' CBLUE = '\33[34m' ...
########################################################################## # If not stated otherwise in this file or this component's Licenses.txt # file the following copyright and licenses apply: # # Copyright 2020 RDK Management # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use th...
from .category import CategoryViewSet from .supplier import SupplierViewSet from .product import ProductViewSet from .cart_item import CartItemViewSet
from sympy import ( Abs, And, Derivative, Dummy, Eq, Float, Function, Gt, I, Integral, LambertW, Lt, Matrix, Or, Poly, Q, Rational, S, Symbol, Ne, Wild, acos, asin, atan, atanh, cos, cosh, diff, erf, ...
import datetime import sqlalchemy from .db_session import SqlAlchemyBase from sqlalchemy_serializer import SerializerMixin class Group(SqlAlchemyBase, SerializerMixin): __tablename__ = 'groups' id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True) name = sqlalchemy.Column(sqlalchemy.String) sc...
import pandas as pd from pathlib import Path from datetime import datetime as dt from datetime import date as date from collections import defaultdict from utils import patient_default_dict import json import os PATH_PATIENTS = Path("data") # Patient Class is more like a interface between a dataframe storing the pati...
# -*- coding: utf-8 -*- """Class representing a string entry in a bibtex file.""" from bibpy.entry.base import BaseEntry class String(BaseEntry): """Represents a string entry in a bibtex file.""" def __init__(self, variable, value): """Create an entry with a variable name and a value.""" se...
import unittest import numpy as np import tensorflow as tf import GPflow import convgp.svsumgp as sumgp GPflow.settings.numerics.float_type = tf.float64 class TestEquivalence(unittest.TestCase): def test_mf_full_equivalence(self): # Setup dataset X = np.random.rand(100, 1) * 6 Y = 0.6 *...
# Use setuptools if we can try: from setuptools.core import setup except ImportError: from distutils.core import setup PACKAGE = 'django_exceptional_middleware' VERSION = '1.2.1' package_data = { 'exceptional_middleware': [ 'templates/http_responses/*.html' ], } setup( name=PACKAGE, version=VERSI...
try: import unittest2 as unittest except: import unittest import numpy as np from hyperopt import rand, tpe from hpsklearn.estimator import hyperopt_estimator from hpsklearn import components class TestRegression(unittest.TestCase): def setUp(self): np.random.seed(123) self.X_train = np....
from PPlay.sprite import * def barra_de_vida_vi(vida_inimigo, inimigo): barras = [] Vi3= Sprite("images/vi_verde.png") Vi2= Sprite("images/vi_amarelo.png") Vi1= Sprite("images/vi_vermelho.png") if vida_inimigo == 9: barras = [Vi3, Vi3, Vi3] if vida_inimigo == 8: barras = [Vi3, ...
usuario1=input('digite seu usuario') usuario2='123456' qtd=len(usuario1) if (qtd)!=6 or usuario1!=usuario2: print('senha incorreta') else: print('senha correta')
# Random Testing # -------------- # Write a random tester for the Queue class. # The random tester should repeatedly call # the Queue methods on random input in a # semi-random fashion. For instance, if # you wanted to randomly decide between # calling enqueue and dequeue, you would # write something like this: # ...
class CacheHelper: def LoadCache(path="./cache"): pass; def GenerateCache(path="./cache"): pass;
#!/usr/bin/env python # coding: utf-8 # In[1]: get_ipython().system(' pip install folium') # In[2]: # basic imports import matplotlib.pyplot as plt import numpy as np import math as mt import csv import pandas as pd from pandas.tools import plotting import folium import warnings # supprssion des warnings pandas i...
def dist(source, target): """trying to match word source to target word""" dp = [[0 for i in range(len(source)+1)] for i in range(2)] for i in range(len(source)+1): dp[0][i] = i for i in range(len(target)+1): for j in range(len(source)+1): if j==0: dp[i%2][j] = i elif s...
from setuptools import setup setup( name='benchmike', version='1.0', description='Module for measuring time complexity of functions', license='MIT', url='www.github.com/mikegpl', author='Michał Grabowski', author_email='mkg.grabowski@gmail.com', packages=['benchmike'], install_requi...
x, y = input().split(' ') x = float(x) y = float(y) if x == 0: if y == 0: print('Origem') if y != 0: print('Eixo Y') if y == 0: if x != 0: print('Eixo X') if x > 0: if y > 0: print('Q1') if y < 0: print('Q4') if x < 0: if y > 0: print('Q2') if ...
class Solution: def findKthLargest(self, nums: List[int], k: int) -> int: def swap(array, i, j): temp = array[i] array[i] = array[j] array[j] = temp def partition(array, left, right): pivotelement = array[right] partitionidx = left...
# -*- coding: utf-8 -*- """ Created on Tue Feb 9 12:02:08 2021 @author: Mahmu """ import numpy import random import pylab import imp """ Generate random coin flips and return a result list """ def generateCoinFlipData(numberOfCoins, numberOfFlips): flippedCoinResults = [] for i in range(numberOfCoins): ...
Program: # Castle drawing using turtle import turtle def polygon(a_turtle, num_side, side_length): ''' The function draws a regular ploygon with the given number of sides, each side of the given length. a_turtle (turtle) - The turtle that is drawing. num_side (int) - Number of sides of the polygon...
from django.contrib import admin from .models import UserInfo, MyUser # Register your models here. admin.site.register(UserInfo) admin.site.register(MyUser)
months = ['January', # 'JAN' 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] # 1. Lambda function calculating kinetic energy Ke = (m*v**2)/2 kine...
from .core import parse, match, run from .utils import compatible_with __all__ = ('parse', 'run', 'match') # The following variables will be used in PyPI index. __name__ = 'classarg' __author__ = 'Ian Chen' __license__ = 'MIT' __version__ = '0.0.2' __email__ = 'patrickchen1994@gmail.com' # Prototype, Developmen...
# -*- coding: utf-8 -*- import functools import six from .constants import MESSAGES from .logger import logger from .common import StateError def inherit_docstrings(cls): ''' Take a base class and apply it's docstrings to functions that do NOT have docstrings. ''' bases = cls.__bases__ for bas...
from flask import current_app, request from flask_restful import Resource from flask_discoverer import advertise from flask import Response from SIMBAD import get_simbad_data from SIMBAD import simbad_position_query #from SIMBAD import parse_position_string from NED import get_ned_data from NED import get_NED_refcodes ...
"""Config flow for Toshiba AC integration.""" from __future__ import annotations import logging import random from typing import Any import voluptuous as vol from homeassistant import config_entries from homeassistant.core import HomeAssistant from homeassistant.data_entry_flow import FlowResult from homeassistant.ex...
from ._discrete_distribution import DiscreteDistribution from numpy import random class IIDStdGaussian(DiscreteDistribution): """ A wrapper around NumPy's IID Standard Gaussian generator `numpy.random.randn`. >>> dd = IIDStdGaussian(dimension=2,seed=7) >>> dd IIDStdGaussian (DiscreteDistribution...
from rich.console import Console from dataclasses import dataclass from random import choice from sqlite3 import Error, connect from prompt_toolkit import PromptSession import os cons = Console() # Todo @dataclass class Todo: tag: str content: str done: bool # Main class Main: def __init__(self) -> N...
import pytest from selenium import webdriver from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By @pytest.fixture def driver(request): driver = webdriver.Ie() request.addfinalizer(driver.quit) ...
from __future__ import unicode_literals class PrimeRestoreException(Exception): pass class PrimeRestoreUserException(PrimeRestoreException): pass class RestorePermissionDenied(Exception): """ Raised when the user is not permitted to restore """
from typing import Iterable def _is_collection(collection, desired_obj_types): if isinstance(collection, str): return False if isinstance(collection, desired_obj_types): return False return isinstance(collection, Iterable)
from sciencebeam_parser.models.model_impl_factory import ( EngineNames, get_engine_name_for_config ) class TestGetEngineNameForConfig: def test_should_return_wapiti_if_engine_prop_is_wapiti(self): assert get_engine_name_for_config({ 'engine': EngineNames.WAPITI }) == EngineName...
# BEFEHLE: kara. # move() turnRight() turnLeft() # putLeaf() removeLeaf() # # SENSOREN: kara. # treeFront() treeLeft() treeRight() # mushroomFront() onLeaf() # Variablen max_leaf_sum = 3 # Methoden def check_leaf(mls): if kara.onLeaf(): kara.removeLeaf() mls -= 1 return mls else: return mls ...
from .scraper import Scraper def main(): s = Scraper() products = s.get_all_products_from_category("smartklokker", no_pages=1) sellers_and_prices = s.get_sellers_and_prices_of_product_list( products["Product number"] ) print(sellers_and_prices.head())
# Generated by Django 2.0 on 2019-04-02 15:31 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('publications', '0025_publication_is_from_systematic_search'), ] operations = [ migrations.AlterField( model_name='experimentpopula...
""" @author: Nihal & Adi """ from sequence import simpleSequence from Qlearn import Qlearn from minimaxQ import miniMAX import random import time def M_M(player, player2): M1 = miniMAX(player) M2 = miniMAX(player2) s = simpleSequence() s.printTitle("Minimax Q vs Minimax Q") s.print_board() s....
def leiaInt(mgn): print('-' * 30) while True: n = str(input(mgn)) if n.isnumeric(): return n break else: print('\033[31mErro! Digite um número inteiro válido.\033[m') n = leiaInt('Digite um número: ') print(f'Você acabou de digitar o número {n}')
""" Track Map to process XY positions of cones to a map Author: Mahmoud Kamaleldin """ # Pip packages import math import matplotlib.pyplot as plt import seaborn as sns import numpy as np import pickle from scipy.interpolate import splprep, splev # Local packages from fastslam import * def distance(x1...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations def insert_career(apps, schema_editor): # We can't import the Person model directly as it may be a newer # version than this migration expects. We use the historical version. Career = apps.get_model("...
import os from collections import namedtuple import pytest from leapp.exceptions import StopActorExecutionError from leapp.libraries.actor import addupgradebootentry from leapp.libraries.common.config.architecture import ARCH_X86_64, ARCH_S390X from leapp.libraries.common.testutils import CurrentActorMocked from leap...
#! /usr/bin/env python import json import sys # Dependencies can be installed by running: # pip install keras tensorflow h5py pillow # Run script as: # ./extract-features.py images/*.jpg from keras.applications.vgg16 import VGG16 from keras.models import Model from keras.preprocessing import image from keras.appl...
# -*- coding: utf-8 -*- """ Created on Mon Apr 04 12:29:27 2016 @author: kodai """ from sklearn.datasets import load_digits import numpy as np import matplotlib.pyplot as plt if __name__ == "__main__": digits = load_digits(2) img_data, img_label = (digits.data, digits.target) # データとラベルに分ける alpha = 0.5 ...
"""Object-oriented interface to an experiment's data.""" # ----------------------------------------------------------------------------- # Imports # ----------------------------------------------------------------------------- import os import re from itertools import chain from collections import OrderedDict import ...
from .cluster import CharacterCluster from .html_creator import HTMLCreator from .argument_parser import parse_arguments import ntpath import timeit class Main: """Entrypoint to the clustering program """ def __init__(self): self.parsed_arguments = parse_arguments() def execute(self): ...
import Queue from timeit import default_timer as timer import almath import vision_definitions as vd from naoqi import ALProxy, motion import Image from constants import * class NAO: def __init__(self, ip, port): self.ip = ip self.port = port self.motion = ALProxy("ALMotion", ip, port)...
from __future__ import absolute_import, division, print_function, unicode_literals import os import random import signal import sys import time import unittest from common_utils import (TestCase, run_tests, IS_WINDOWS, NO_MULTIPROCESSING_SPAWN) import torch.multiprocessing as mp def test_success_func(i): pass ...
from tkinter import * window = Tk() def km_miles(): miles = float(e1_val.get()) * 1.6 t1.delete("1.0", END) t1.insert(END, miles) print('Successfully converted') l1 = Label(window, text='Enter kilometers: ') l1.grid(row = 0, column = 0) e1_val = StringVar() e1 = Entry(window, textvariable = e1_v...
class Game(): def __init__(self): self.agent_list = [] self.index = 0 def add_agent(self, agent): self.agent_list.append(agent) def index_of_agent(self, agent): for index, a in enumerate(self.agent_list): if a == agent: ...
from file_1 import A class B(A): def target_func(self, p): p.another_func() class C(object): def func1(self, a): a.target_func(A()) def func2(self): a = A() b = B() a.target_func(b) def bar1(a): a.target_func(a) def bar2(a, b): atf, btf = a.target_fun...
# Generated by Django 2.1.5 on 2019-02-20 18:07 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('articles', '0006_article...
OBJECT( 'PARSE_TOKEN_QUOTE', methods = [ MTID_IS( 'TYPE' ), MS( ARG( CW( 'consume' ), CG( 'LIST', 'phrase' ) ), """ JUMP__consume_LIST( $CA(FRAME__PARSE_TOKEN_QUOTE_0_new( CONTEXT )), $CA(PATTERN_new( $LISTNEW( CHARACTER_new( 0x5B ), SHAPE_new( $CA(WORD_new( "content" )), nom_parse_phrase_clau...
#!/usr/bin/env python3 """ Copyright (c) 2019 CIIRC, CTU in Prague All rights reserved. This source code is licensed under the BSD-3-Clause license found in the LICENSE file in the root directory of this source tree. @author: Zdenek Kasner """ from nlp_crow.database.Database import Database, State from nlp_crow.dat...
from keras.models import Sequential from matplotlib import pyplot # To be deleted from sklearn.model_selection import train_test_split # To be deleted from scipy import signal import pandas as pd import tensorflow as tf from keras.layers.merge import concatenate from keras.layers import Input, Dense, Conv1D, MaxPooli...
import argparse import json import logging import os import pathlib import random import sys from typing import Any, Dict, Optional import yaml import neighborly from neighborly.exporter import NeighborlyJsonExporter from neighborly.loaders import UnsupportedFileType from neighborly.simulation import NeighborlyConfig...
import json import re import websocket import servitor_utils try: import thread except ImportError: import _thread as thread import time def check_message(ws, message): try: parsed_message = json.loads(message) print json.dumps(parsed_message['message'], ensure_ascii=False) except: ...
# coding: utf-8 """ OOXML Automation This API helps users convert Excel and Powerpoint documents into rich, live dashboards and stories. # noqa: E501 The version of the OpenAPI document: 0.1.0-no-tags Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import si...
name = "Fastest-0-Baseline" # Testing 20 times the same thing just to see if n=300 is enough to get reliable min values # the 20 tests should not have a huge variance execution_strategy = { "ignore_first_n_results": 0, "sample_size": 2, "type": "step_explorer", "knobs": { "irrelevant": ([1, 40]...
import numpy as np from holoviews.core.data import Dataset from .base import HomogeneousColumnTests, InterfaceTests class ArrayDatasetTest(HomogeneousColumnTests, InterfaceTests): """ Test of the ArrayDataset interface. """ datatype = 'array' data_type = np.ndarray def test_dataset_empty_l...