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from math import * from NodeGeneratorBase import * from Spheral import Vector3d from Spheral import Tensor3d from Spheral import SymTensor3d from Spheral import pair_double_double from Spheral import vector_of_int, vector_of_double, vector_of_SymTensor3d, vector_of_vector_of_double from SpheralTestUtilities import *...
import matplotlib matplotlib.use('PS') matplotlib.rc('text', usetex=True) matplotlib.rcParams['font.size'] = 17 matplotlib.rc('xtick', labelsize=14) matplotlib.rc('axes', linewidth=1.2) matplotlib.rcParams['legend.fontsize'] = 12 matplotlib.rcParams['legend.handlelength'] = 5 matplotlib.rcParams['xtick.major.size'] = 5...
#-*- coding:utf-8 -*- import os import sys import time import random import math import pickle import numpy as np import pandas as pd import matplotlib import matplotlib.pyplot as plt from matplotlib import ticker import scipy.stats as st from scipy.stats import norm from scipy.optimize import curve_fit from datetim...
#coding: utf-8 #----------------------------------------------------------- # Um programa que recebe em um dicionário o nome, média e # situação de um aluno retornando o conteúdo da estrutura. #----------------------------------------------------------- # Dicionário em Python - Exercício #090 #---------------------...
#!/usr/bin/env python3 import ast def parse_module(f, filename, **kwargs): contents = f.read() tree = ast.parse(contents, filename) dump = ast.dump(tree, indent=4).replace('\n', '\n ') print(f'AST for {filename!r}:\n {dump}\n') return tree
import libg3n from libg3n.model.libg3n_class import Libg3nClass from libg3n.model.libg3n_config_parser_g3n import Libg3nConfigParserG3n from libg3n.model.libg3n_function import Libg3nFunction from libg3n.modules.java.java_function import JavaFunction from libg3n.modules.java.java_class import JavaClass from libg3n.modu...
#!/usr/bin/env python # encoding: utf-8 # Copyright 2013 Herve BREDIN (bredin@limsi.fr) # This file is part of PyAnnote. # # PyAnnote is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either versio...
from urllib.request import urlopen import cv2 import numpy as np def request_image( url: str = "http://camerapi3.local:8000/image_frame/last_image"): resp = urlopen(url) image = np.asarray(bytearray(resp.read()), dtype="uint8") image = cv2.imdecode(image, cv2.IMREAD_COLOR) # width, height = i...
class Solution: def twoSumLessThanK(self, A: List[int], K: int) -> int: A.sort() res, l, r = -1, 0, len(A) - 1 while l < r: if A[l] + A[r] >= K: r -= 1 else: res = max(res, A[l] + A[r]) l += 1 return res
#!/usr/bin/python3 import os import re import argparse import os.path import configparser import xml.etree.ElementTree as etree standard_icons_dir = [ '/usr/share/icons', '/usr/local/share/icons', '%s/.icons' % os.path.expanduser('~'), '%s/.local/share/icons' % os.path.expanduser('~'), ] def collect...
from app.tasks.recommender import get_item_similarity from app.sql_models import Rating, User from app.extensions import cache from app.utils.redis_utils import get_task_id_from_redis @cache.cached(60, "recommend-movies-for-user", query_string=True) def item_cf_recommendation(user_id, k): w = get_item_similarity....
#!/usr/bin/env nix-shell #!nix-shell -p python3Packages.ipython python3Packages.requests -i python3 import requests import os import binascii import json api_url_base = os.environ.get("JORMUNGANDR_RESTAPI_URL", "http://localhost:3001/api") api_url = f"{api_url_base}/v0" def get_api(path): resp = requests.get(url...
""" Django settings for ecoway project. Generated by 'django-admin startproject' using Django 3.0.2. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os # Bu...
"""Advent of Code 2019 Day 14 - Space Stoichiometry""" from collections import defaultdict import math def create_fuel(reactions, fuel_wanted): """Create wanted amount of fuel from reactions, return material dict.""" needed = defaultdict(int) needed['FUEL'] = fuel_wanted queue = ['FUEL'] while qu...
"""Db schema definitions and setup routines.""" import sqlalchemy as sa from sqlalchemy.sql import text as sql_text from sqlalchemy.types import SMALLINT from sqlalchemy.types import CHAR from sqlalchemy.types import VARCHAR from sqlalchemy.types import TEXT from sqlalchemy.types import BOOLEAN #pylint: disable=line-...
# -*- coding: utf-8 -*- """ This module manage interaction between application and OpenStack cloud infrastructure """ import math from datetime import date from dateutil.relativedelta import relativedelta from django.core.cache import cache from django.utils.dateparse import parse_datetime from keystoneauth1.identi...
"""Tests for :mod:`nanoutils.testing_utils`.""" import os from pathlib import Path from assertionlib import assertion from nanoutils import FileNotFoundWarning, delete_finally PATH = Path('tests') / 'test_files' DIR1 = PATH / 'tmp_dir' FILE1 = PATH / 'tmp_file.txt' def test_warning() -> None: """Test :exc:`na...
# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/ads/googleads/v6/services/remarketing_action_service.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf ...
import pickle import time from typing import Optional from contextualized_topic_models.models.ctm import ZeroShotTM from contextualized_topic_models.utils.data_preparation import TopicModelDataPreparation from contextualized_topic_models.utils.preprocessing import WhiteSpacePreprocessingStopwords from nltk.corpus impo...
# -*- coding: utf-8 -*- # Generated by Django 1.10.2 on 2018-08-11 16:52 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('polls', '0004_poll_open'), ] operations = [ migrations.AddField( ...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from typing import Union from .. import utilities, tables class GetDir...
print(2|7) def comparator(a, b): ab = str(a) + str(b) ba = str(b) + str(a) return ((int(ba) > int(ab)) - (int(ba) < int(ab))) >= 0 def myCompare(mycmp): class K(object): def __init__(self, obj): super().__init__() self.obj = obj def __lt__(self, valu...
from .. import exceptions, native from .base import Storage from ..vobject import Item from functools import partial import json class RustStorage(Storage): _native_storage = None def _native(self, name): return partial( getattr(native.lib, 'vdirsyncer_storage_{}'.format(name)), ...
def load(h): return ({'abbr': 'pres', 'code': 1, 'title': 'PRES Pressure Pa'}, {'abbr': 't', 'code': 11, 'title': 'T Temperature K'}, {'abbr': 'q', 'code': 51, 'title': 'Q Specific humidity kg/kg'}, {'abbr': 'pwat', 'code': 54, 'title': 'PWAT Precipitable water kg/m2'}, ...
import requests from threading import Thread import queue import uuid import time from os import getcwd print("\n"*3) down=[] stat_time=time.time() global error error="" global img_dimension img_dimension="1920/1080" ## width/height #width/ for square image q = queue.Queue() def urlgen(): global ...
# ============LICENSE_START======================================================= # org.onap.dcae # ================================================================================ # Copyright (c) 2019-2020 AT&T Intellectual Property. All rights reserved. # Copyright (c) 2020 Pantheon.tech. All rights reserved. # ====...
image_width = 256 image_height = 256 image_channels = 3 cnum = 32
def issue_new(): import sqlite3 from tabulate import tabulate import datetime conn=sqlite3.connect('library.sqlite') cur=conn.cursor() cur.executescript(''' DROP TABLE IF EXISTS Issue; CREATE TABLE Issue ( Issue_id VARCHAR(128) NOT NULL PRIMARY KEY UNIQUE, Bo...
def test_success(): assert True def test_not_failure(): assert not False
from cnn_finetune import make_model from torch import nn from src.models.head import Head from src.utils import to_Mish class MultiHeadNet(nn.Module): def __init__(self, encoder, pretrained, num_classes, activation): super().__init__() self.net = make_model( model_name=encoder, pretra...
from setuptools import setup from torch.utils.cpp_extension import BuildExtension, CppExtension setup( name='gesvd', version="0.1", ext_modules=[ CppExtension('gesvd_cpp', ['gesvd.cpp']), ], scripts=['gesvd.py', '__init__.py'], cmdclass={ 'build_ext': BuildExtension })
import json from django.utils.http import is_safe_url from django.utils.translation import gettext as _ from django.shortcuts import redirect, render from wagtail.core.models import Site, Page from wagtail.core import hooks from wagtail.admin import messages from wagtail.admin.views.pages import delete from .models imp...
# FinMag - a thin layer on top of FEniCS to enable micromagnetic multi-physics simulations # Copyright (C) 2012 University of Southampton # Do not distribute # # CONTACT: h.fangohr@soton.ac.uk # # AUTHOR(S) OF THIS FILE: Dmitri Chernyshenko (d.chernyshenko@soton.ac.uk) import numpy as np __all__ = ["Mesh", "MeshField...
from django.db import models from django.contrib.auth.models import User class Profile(models.Model): user_types = ( ('Admin', 'Admin'), ('Operator','Operator'), ('Customer', 'Customer'), ) user = models.OneToOneField(User, on_delete= models.CASCADE) user_type = models.CharFiel...
""" HypermediaHttpSClient uses the HTTPConnection class in httplib to create a dictionary driven interface to http requesters and response handlers to be used by clients for the HttpHypermediaServer Requests and their associated responses are exposed in a dictionary interface for processing by proxies and resources in...
''' Created on Jan 9, 2017 @author: User ''' text = str(input("Enter text: \n")) def word_counter(text): # removes starting or trailing spaces also converts all to lower case. text = text.strip().lower() #creates a new list with a diff variable text2 = text.split(' ') words = 0 ...
import unittest import dooray class TestMessengerHookAttachments(unittest.TestCase): def testCreateAttachment(self): self.assertEqual(dooray.MessengerHookAttachments._create_attachment(None, None, None, None), None) self.assertEqual( dooray.MessengerHookAttachments._create_attachment(...
from __future__ import absolute_import from exkaldi.decode import graph from exkaldi.decode import graph from exkaldi.decode import score from exkaldi.decode import e2e from exkaldi.decode.graph import load_lex from exkaldi.decode.wfst import load_lat
# ntrip client launch file import os from ament_index_python.packages import get_package_share_directory from launch import LaunchDescription from launch_ros.actions import Node def generate_launch_description(): config = os.path.join( get_package_share_directory('ntrip_client'), # 'config', ...
import FWCore.ParameterSet.Config as cms # rechit producer ecalTBSimRecHit = cms.EDProducer("EcalRecHitProducer", EErechitCollection = cms.string('EcalRecHitsEE'), EEuncalibRecHitCollection = cms.InputTag("ecalTBSimWeightUncalibRecHit","EcalUncalibRecHitsEE"), EBuncalibRecHitCollection = cms.InputTag("ecal...
from ..utils import gen_user_breadcrumb from ..compatpatch import ClientCompatPatch class LiveEndpointsMixin(object): """For endpoints in ``/live/``.""" def user_broadcast(self, user_id): """ Helper method to get a user's broadcast if there is one currently live. Returns none otherwise. ...
# # PySNMP MIB module JUNIPER-IPv6-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/JUNIPER-IPv6-MIB # Produced by pysmi-0.3.4 at Wed May 1 13:59:26 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar ...
__author__ = "etseng@pacb.com" """ To be used to evaluate phase switching by assuming the genome is already fully "phased". For example, in Falcon-Unzip, which is pseudo-phased, there could be switching errors. Since IsoPhase only uses the primary contig (or one of the haplotypes), a switching error shows up by seein...
import abc from lms.lmsdb import models class BaseNotification(abc.ABC): def __init__(self, notification: models.Notification): self.notification = notification @classmethod def notification_type(cls) -> str: return cls.__name__ @staticmethod @abc.abstractmethod def build_pa...
import ardustatlibrary as ard import time the_socket = 7777 connresult = ard.connecttosocket(the_socket) print connresult socketinstance = connresult["socket"] print ard.ocv(the_socket) print ard.socketread(socketinstance) time.sleep(3) print ard.potentiostat(2,the_socket) print ard.socketread(socketinstance) print...
#!/usr/bin/python import os import sqlite3 class SensorDB(): def __init__(self, path): path = os.path.join("", path) self.ClassName = "SensorDB" self.DB = sqlite3.connect(path, check_same_thread=False) self.CURS = self.DB.cursor() self.BuildSchema() def BuildSchema(self): self.CURS.execute('''CREAT...
from .sample import sample from .params import n, transformers
import quantities as pq def unit(name): return getattr(pq, name)
import operator import ipaddr import re from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsReturned from django.core.exceptions import ValidationError from django.db.models import Q from cyder.core.system.models import System from cyder.cydhcp.interface.static_intr.models import StaticInterface fro...
import numpy as np import pandas as pd import tifffile import pickle import sys import seaborn import matplotlib.pyplot as plt import os from tqdm import tqdm from geo.analysis.data_paths import heatmaps_dir from geo.data_paths import patch_train from geo.data_paths import occurrences_train count_channels = 33 image_...
''' def textLines(txt, box): """Answers a list of (x,y) positions of all line starts in the box. This function may become part of standard DrawBot in the near future.""" x, y, w, h = box attrString = txt.getNSObject() setter = CoreText.CTFramesetterCreateWithAttributedString(attrString) path = ...
import uuid import requests from bs4 import BeautifulSoup import re import src.models.items.constants as ItemConstants from src.common.database import Database as db from src.models.stores.store import Store class Item(object): def __init__(self,name,url,price=None,_id=None): self.name = name sel...
from convertme import WriterInterface, Dataset from mat4py import savemat from bitarray import bitarray class MatlabWriter(WriterInterface): def write(self, dataset, output): data = {'M': list(map(bitarray.tolist, dataset.bools))} savemat(output, data)
# encoding: utf-8 from __future__ import unicode_literals, division import math from Pass.colors import Color from Pass.units import Pr, unitdispatcher ######################## # Color initialization # ######################## def rgb(r, g, b): """Converts an Rgb(r, g, b) triplet into a color.""" return C...
import numpy as np import matplotlib.pyplot as plt import seaborn as sns plt.figure() sns.set_style("darkgrid") sns.set_palette("muted") err_scf = [0.0136, 0.0193, 0.0334] err_shci = [0, 1e-4, 1e-4] plt.plot(err_scf, "o-", label="MCSCF") plt.plot(err_shci, "o-", label="Final SHCI") plt.title("Energy Error") plt.yl...
# VERSION 2 # Add user id as feature # # # import tensorflow as tf import tensorflow.contrib as tc import numpy as np import tensorflow.contrib.keras as keras # import tensorflow.contrib as slim VERSION = "v3" IS_TRAINING = True NUM_EPOCHS = 1000000 # IS_TRAINING = False # NUM_EPOCHS = 1 LEARNING_RATE = 0.01 def re...
"""Describe group states.""" from homeassistant.components.group import GroupIntegrationRegistry from homeassistant.const import STATE_OFF, STATE_ON from homeassistant.core import callback from homeassistant.helpers.typing import HomeAssistantType from . import STATE_CLEANING, STATE_ERROR, STATE_RETURNING @callbac...
from django.urls import path from django.contrib.auth.views import LoginView from django.contrib.auth import views as auth_views from core.views import lista_pacientes,home,fomPaciente,cargaPacientes,Editarpaciente,Borrar,Listaestudios,Editaestudio,Borrarestudio #aca genero las urls que va a tener la app core de n...
import os def fix_data_path(): root="/content/ED-MTT/data/OpenFace_features/" for case in ["Train","validation"]: for face_feature in os.listdir(root + case): if "txt" not in face_feature: os.rename(os.path.join(root + case,face_feature),os.path.join(root + case,face_feature+".txt")) if __name__ ...
import workers from checks import health_task from polyaxon.settings import HPCeleryTasks @workers.app.task(name=HPCeleryTasks.HP_HEALTH, ignore_result=False) def hp_health(x, y): return health_task.health_task(x, y)
import logging import logging.handlers import os import math import sys import cv2 import numpy as np logging.disable(logging.DEBUG) DISABLE_LOGGING = True # ============================================================================ CAR_COLOURS = [(0, 0, 255), (0, 106, 255), (0, 216, 255), (0, 255, 182), (0, 255,...
from model import Net from tqdm import tqdm from dataset import train_data, val_data from dataset import train_data_loader, val_data_loader import torch import torch.nn as nn import torch.optim as optim import matplotlib.pyplot as plt import matplotlib import numpy as np matplotlib.style.use('ggplot') # learning pa...
#!/local/data/idsbc/idstaff/gladier/miniconda3/envs/gladier/bin/python import pathlib import time, argparse, os, re import numpy as np #from watchdog.observers import Observer from watchdog.observers.polling import PollingObserver as Observer from watchdog.events import FileSystemEventHandler class KanzusTriggers: ...
# coding=utf-8 # Copyright (c) 2015 EMC Corporation. # 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 # #...
import sys import os sys.path.append('/home/td-user/.local/lib/python3.7/site-packages') os.system(f"{sys.executable} -m pip install requests") # utilize the pytd to load the data into TD os.system(f"{sys.executable} -m pip install pytd==0.7.0") import pytd import requests import pandas as pd import json print(pytd....
# Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html from emmdx import models as emmdxmodels from extoon import models as exmodels from core import models from core.extractor import ( safe_kana, sa...
# -*- coding: utf-8 -*- ''' Preprocessing object for missing data imputation (mean) @author: Angel Navia Vázquez ''' __author__ = "Angel Navia Vázquez, UC3M." import random, string import time import numpy as np class imputation_model_V(): def __init__(self, input_data_description=None): "...
import inspect import sys import json import os import pprint import runpy from .log import conf_log from .registry import PluginBase, reg from .utils import dict_generator def print_registry(): # monkey patch sorting pprint._safe_key.__lt__ = lambda x, y: True preg = pprint.pformat(reg) conf_log()....
import pandas as pd import numpy as np import h5py, os, json, sys, shutil from uuid import uuid4 from pythologist_image_utilities import map_image_ids from pythologist_reader.qc import QC from pythologist import CellDataFrame """ These are classes to help deal with cell-level image data """ class CellFrameGeneric(obj...
from matplotlib import use import matplotlib.pyplot as plt use('Agg') class ImageMixin(object): def __init__(self, x, size=(640, 480), color_depth=3): self.x = x self.size = size self.color_depth = color_depth def transform(self): raise NotImplementedError() def save(se...
# This sample tests the case where a generic type Type[T] is # instantiated. from typing import Generic, TypeVar T = TypeVar("T") class Foo(Generic[T]): def __init__(self) -> None: message_t = self.message_type() reveal_type(message_t(), expected_text="T@Foo") def message_type(self) -> type...
import numpy as np import scipy as sp import scipy.ndimage as nd import keras.models as km import keras.layers as kl import keras.regularizers as kr import keras.utils as ku import sklearn.model_selection as sm import sklearn.linear_model as sl import sklearn.svm as sv import sklearn.feature_extraction.image as sf ...
import re class PlayerParser: @staticmethod def parse_player_list(players_properties): regex = re.compile(r"\(player \"(.+?)\"\)") player_properties_list = regex.findall(players_properties) player_list = [] for player_property in player_properties_list: player_l...
""" test_yieldcalculations.py Note that sone tests are in doctests. Do not replicate them within unitt tests, as we then have to maintain the same test twice. """ from unittest import TestCase import doctest import simplepricers.yieldcalculations as yieldcalculations from simplepricers.bonds_curves import ZeroCurve ...
""" @Author:lichunhui @Time: @Description: 百度百科爬虫 """ import re import copy from urllib.parse import unquote from scrapy.spiders import Rule from scrapy.selector import Selector from baikeSpider.items import BaiduSpiderItem from scrapy.linkextractors import LinkExtractor from .redis_spider import RedisCrawlSpider f...
import helper object=helper.Helper() object.plot_original() object.change_basis() object.show_changed() object.full_reconstruction() object.show_full_reconstructed()
# -*- coding: utf-8 -*- # The MIT License (MIT) # # Copyright (c) 2015 Alex Headley <aheadley@waysaboutstuff.com> # # 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, inclu...
"""added symbol Revision ID: a52770687d22 Revises: 7e2a9aed0504 Create Date: 2018-04-04 22:23:11.306246 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'a52770687d22' down_revision = '7e2a9aed0504' branch_labels = None depends_on = None def upgrade(): # #...
# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # Invokes gperf for the GN build. # Usage: gperf.py [--developer_dir PATH_TO_XCODE] gperf ... # TODO(brettw) this can be removed once the run_executable rule...
#!/bin/python3 class Request: def __init__(self, title, description, is_private=False): self.title = title self.description = description self.is_private = is_private def get_request(): request_data = { 'title': self.title, 'description': self.description, 'is_private': self.is_p...
from question_generation.pipelines import pipeline def make_quiz(text_input): qg = pipeline("question-generation") return qg(text_input)
import psycopg2 import pandas as pd from sklearn.cross_validation import train_test_split from sklearn import metrics from sklearn.naive_bayes import MultinomialNB from sklearn.feature_extraction.text import CountVectorizer import bills.wrangle.create_corpus from bills.ingest.setup_database import Subject_Score from sq...
import numpy as np from scipy.optimize import minimize from functools import reduce import pandas as pd from .utils import fn_varml_sandwich_Npsi_NKbeta_Nsgmsq, format_output, fn_mg_est, fn_significance_stars class RegressionResultsWrapper: """ Class that wraps the regression results of the HSAR model. """...
#! /usr/bin/env python # -*- coding: utf-8 -*- #====================================================================== # # cannon.py # # 服务主程序,启动transmod,再根据配置文件启停连接 Channel 0的服务。 # #====================================================================== import sys, time, struct import os, errno, socket, mmap import da...
#!/usr/bin/env python # -*- coding: utf-8 -*- ################################################################################ import numpy as np import copy import random import platform import subprocess import sys import statistics from UDFManager import UDFManager import os import pickle from multiprocessing import...
from CanvasAPI.util import callhelper from CanvasAPI.courses import settings, users from CanvasAPI import instance __all__ = ["get_history", "get_student_history", "get_grader_history"] def get_course(course_id): '''Gets a course''' url_str = "audit/grade_change/courses/{}?include[]=current_grade".f...
from behave import given, when, then @given('we have behave installed') def given_test(context): pass @when('we implement a test') def when_test(context): context.hello = 'YES' assert True is not False @then('behave will test it for us!') def then_test(context): assert context.failed is False
from nni.assessor import Assessor, AssessResult import logging _logger = logging.getLogger(__name__) class MemoryAssessor(Assessor): '''评估模型内存是否满足要求 Args: flash_mem: 闪存可用大小 ram_mem: 运行内存可用大小 ''' def __init__(self, flash_mem, ram_mem, **kwargs): self.flash_m...
"""Test sample sync.""" from typing import Optional from samples.sample_tap_gitlab.gitlab_tap import SampleTapGitlab from singer_sdk.helpers import _catalog from singer_sdk.helpers._singer import Catalog COUNTER = 0 SAMPLE_CONFIG_BAD = {"not": "correct"} def test_gitlab_sync_all(gitlab_config: Optional[dict]): ...
from wideryolo.data_utils.data_preprocessing import ( train_file, val_file, yolo_image_file, yolo_label_file, ) import shutil train_path = train_file() val_path = val_file() image_path = yolo_image_file() label_path = yolo_label_file() shutil.rmtree("./wider_data/wider_face_split/")
import sys sys.path.insert(1,"../../../") import h2o from tests import pyunit_utils def fiftycatGBM(): # Training set has only 45 categories cat1 through cat45 #Log.info("Importing 50_cattest_train.csv data...\n") train = h2o.import_file(path=pyunit_utils.locate("smalldata/gbm_test/50_cattest_train.csv...
from TopCompiler import FuncParser from TopCompiler import Error from TopCompiler import Parser from TopCompiler import Scope from TopCompiler import Types import AST as Tree def parseJson(parser): parse = Tree.Decoder(parser) parser.currentNode.addNode(parse) parser.currentNode = parse parser.nextTok...
#!/usr/bin/env python # Import the library import matplotlib.pyplot as plt # %matplotlib inline # Create a class Circle class Circle(object): # Constructor def __init__(self, radius=3, color='blue'): self.radius = radius self.color = color # Method def add_radius(self, r): ...
# Copyright (C) 2019 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> """Modals for create objects.""" from lib import base class SetValueForAsmtDropdown(base.Modal): """Modal for set value for assessment custom attribute.""" def __init__(self, driver): super(SetVal...
print("Let's play with some variables!") food = "myFood" print(food) fo0d = "my bad food" foOd = "another food" f_00d = "something completely different" # there is full Unicode support for variables, but lets use English for variable names ēdiens = "my food" # not a good idea myFood = "mans ēdiens" # this is completel...
# coding: utf-8 """ Licensed to Cloudera, Inc. under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. Cloudera, Inc. licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use thi...
# Copyright (c) 2013, Frappe and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe import _ from frappe.model.document import Document from frappe import utils from frappe.utils import flt from datetime import datetime,timedelta,date from f...
# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function import copy import sys import threading import warnings from typing import Any, Optional, Tuple import numpy as np from .. import _core from .axestuple import AxesTuple from .axis import Axis from .deprecated import deprecated f...
""" Setup for different kinds of Tuya climate devices """ import logging from . import DOMAIN from .const import ( CONF_CLIMATE, CONF_DEVICE_ID, CONF_TYPE, ) from .generic.climate import TuyaLocalClimate from .helpers.device_config import config_for_legacy_use _LOGGER = logging.getLogger(__name__) async...
from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Convolution2D, MaxPooling2D from keras.utils import np_utils import os from PIL import ImageFont from PIL import Image from PIL import ImageDraw import random import numpy as np import cv2 letter_...