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import sys import pickle import pandas as pd import numpy as np from sqlalchemy import create_engine from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.metrics import confusion_matrix from sklearn.model_selection import train_test_split from sklearn.ensemble import AdaBoostClassifier from sklearn.ensemble...
import requests import zipfile import json import os import sys import pandas as pd from time import sleep from utils.config import qualtrics_sitewide_creds from utils import db, db_utils class QualtricsApi: """Query Qualtrics API for new survey responses and then write to database. Attributes: apiTo...
from .datasets import Datasets from .reshape import Reshape from .reshape_config import ReshapeConfig from .spark_io import SparkIO, SparkIOContext from .spark_io_config import SparkIOConfig from .table_name import TableName __all__ = [ "Datasets", "Reshape", "ReshapeConfig", "SparkIO", "SparkIOCon...
"""Xiaomi aqara button sensor.""" import logging from zigpy.profiles import zha from zigpy.zcl.clusters.general import Basic, Identify, MultistateInput, OnOff from .. import LUMI, BasicCluster, PowerConfigurationCluster, XiaomiCustomDevice from ... import CustomCluster from ...const import ( COMMAND, COMMAND_...
""" Hosts the code for the Exclude window | """ import tkinter as tk import importlib from GUI.languages import en from GUI.widgets import create_label, create_canvas, create_frame, create_scrollbar, \ create_check_button, create_int_var, create_button from app.main import open_export_folder cl...
# This file is part of libigl, a simple c++ geometry processing library. # # Copyright (C) 2017 Sebastian Koch <s.koch@tu-berlin.de> and Daniele Panozzo <daniele.panozzo@gmail.com> # # This Source Code Form is subject to the terms of the Mozilla Public License # v. 2.0. If a copy of the MPL was not distributed with thi...
import torch import torch.nn as nn from .midas.midas_net import MidasNet class DoepdNet(torch.nn.Module): """ There are 3 run modes available for this model. 1. Yolo : Trains/Inferences only yolo layer, while ignoring midas and planeRCNN 2. PlaneRCNN : Trains/Inferences only PlaneRCN...
import os import numpy as np import pandas as pd import torch import tensorflow as tf # Custom Library import sys sys.path.append('../') from proxy_apps import ProxyTSPRD from proxy_apps.utils import file_reader, path_handler class ProcessDataFile(tf.data.Dataset): def _generator(file_name, n_rows, n_cols, n_rep...
import json import getpass import socket import urllib2 import urlparse import platform import eventlet import eventlet.greenpool import requests def join_sockets(a, b): """ socket joining implementation """ def _pipe(from_, to): while True: try: data = from_.recv(64 * 102...
from bs4 import BeautifulSoup from collections import defaultdict import pandas as pd import pickle import requests from unidecode import unidecode # this dictionary will map players to a set containing all the years in which they were selected for an all-star game, either initially or as a replacement all_star_appear...
class Gender: masculine = 0 feminine = 1 neuter = 2 class Case: nominative = 0 # именительный genitive = 1 # родительный dative = 2 #дательный accusative = 3 # винительный instrumental = 4 #творительный prepositional = 5 #предложный # Data structure which holds information a...
import numpy as np class MazeMap: def __init__(self): pass def from_dict(self, mapdict): pass example_mapdict = { "start": (5, 6), "goal": (5, 3), "walls": { "top": [[(0,0), (10,0)], [(2,1), (8,1)], [(4,2), (6,2)]], ...
# Copyright (c) 2015-present, Facebook, Inc. # All rights reserved. import os import json from torchvision import datasets, transforms from torchvision.datasets.folder import ImageFolder, default_loader from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD from timm.data import create_transform ...
import os import molgrid import pytest import torch def pytest_addoption(parser): # Allows user to force tests to run on the CPU (useful to get performance on CI) parser.addoption( "--nogpu", action="store_false", help="Force tests to run on CPU", ) @pytest.fixture(scope="sessio...
# coding=utf-8 """ Tests of the code in uncertainties/__init__.py. These tests can be run through the Nose testing framework. (c) 2010-2016 by Eric O. LEBIGOT (EOL). """ from __future__ import division # Standard modules import copy import weakref import math from math import isnan, isinf import random import sys...
# -*- coding: utf-8 -*- # The MIT License (MIT) # # Copyright (c) 2015 Björn Larsson # # 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 r...
# -*- coding: utf-8 -*- # Global imports import sys,time import numpy as np from scipy.optimize import linear_sum_assignment from scipy.spatial.distance import cdist import itertools import argparse as ap import multiprocessing as mp # Script information __author__ = "Sergi Rodà" __license__ = "MIT" __version__ = "1....
import os, sys import pprint, argparse import boto3 def main(args): rekognition = boto3.client('rekognition') # Configure argument for rekognition.Image if args.s3_bucket and args.filepath: # case: specify API input using image in AWS S3 img_kwarg = { 'S3Object': { ...
import FWCore.ParameterSet.Config as cms process = cms.Process("TEST") # Message logger service process.load("FWCore.MessageService.MessageLogger_cfi") # DT and CSC geometry process.load("Geometry.MuonCommonData.muonIdealGeometryXML_cfi") process.load("Geometry.MuonNumbering.muonNumberingInitialization_cfi") # Read...
""" Variable manager for Jac Representations for all jac runtime variables """ from jaseci.element.element import element from jaseci.graph.node import node from jaseci.graph.edge import edge from jaseci.jac.jac_set import jac_set import uuid NoneType = type(None) class JAC_TYPE: STR = "JAC_TYPE.STR" INT = ...
# DO NOT EDIT! This file is automatically generated import marshmallow from commercetools import helpers, types from commercetools.schemas._common import ( LocalizedStringField, LoggedResourceSchema, ReferenceSchema, ResourceIdentifierSchema, ) from commercetools.schemas._type import FieldContainerFie...
import subprocess import glob import os HOME_SITE="/home/site/wwwroot" DEFAULT_SITE="/opt/defaultsite" STARTUP_COMMAND_FILE="/opt/startup/startupCommand" APPSVC_VIRTUAL_ENV="antenv" # Temp patch. Remove when Kudu script is available. os.environ["PYTHONPATH"] = HOME_SITE + "/antenv/lib/python3.6/site-packages" def su...
"""Convert a path to an image (JPG/JPEG/PNG) to a vector of class probabilities created by a pretrained ImageNet deeplearning model (Keras, TensorFlow).""" import importlib from h2oaicore.transformer_utils import CustomTransformer from h2oaicore.models import TensorFlowModel import datatable as dt import numpy as np fr...
# -*- coding: UTF-8 -*- import sys import os from torch.utils.data import DataLoader,Dataset import torchvision.transforms as transforms from PIL import Image sys.path.append('../') # print(type(sys.path), '\r\n'.join(sys.path)) import torch.nn as nn from end2end_model.training_set_gen import gen_config from end2end_...
"""EnvStore module for TcEx Framework""" # flake8: noqa from .env_store import EnvStore
# 1. data dataset_type = "Thumos14Dataset" data_root = "data/thumos14/" img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True ) num_frames = 480 chunk_size = 32 img_shape = (112, 112) overlap_ratio = 0.25 keep_ratio = 0.4 feat_downsample = 2 expid = "3.a.iii" data = dict( ...
# -*- coding: utf-8 -*- # Generated by Django 1.11.4 on 2017-08-16 17:25 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Bucket...
#!/usr/bin/env python3 # Copyright (c) 2020 6WIND S.A. # SPDX-License-Identifier: BSD-3-Clause """ Minimalist application that subscribes to module changes, operational data requests and RPC calls for the sysrepo-example.yang module. """ import argparse import logging import signal import sys import time import liby...
from copy import copy from typing import Tuple, Union import numpy as np import aesara.tensor.basic from aesara.configdefaults import config from aesara.gradient import DisconnectedType from aesara.graph.basic import Apply from aesara.graph.null_type import NullType from aesara.graph.op import COp, ExternalCOp, OpenM...
# Copyright 2015 Confluent Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, s...
# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2013 Embrane, 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/l...
import logging import os import sys initialized = False def setup_logging(): FORMAT = f"[%(asctime)s] - {os.getpid()} - %(levelname)s | %(name)s | %(funcName)s | %(message)s" logging.basicConfig( level=logging.DEBUG, format=FORMAT, filename="debug.log", filemode="w" ) formatter = logging.Fo...
# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RAffypdnn(RPackage): """The package contains functions to perform the PDNN method desc...
import os.path as osp import shutil import unittest import numpy as np import skrobot import trimesh class TestAxis(unittest.TestCase): def test_init(self): skrobot.model.Axis() def from_coords(self): coords = skrobot.coordinates.Coordinates() skrobot.model.Axis.from_coords(coords)...
import torch import torch.nn as nn from mmcv.cnn import normal_init from mmdet.core import distance2bbox, force_fp32, multi_apply, multiclass_nms, multiclass_nms_with_mask from mmdet.ops import ModulatedDeformConvPack from ..builder import build_loss from ..registry import HEADS from ..utils import ConvModule, Scale,...
import keyboard from player_detector import PlayerDetector from drops_detector import DropsDetector from snapshoter import Snapshoter PIC_INTERVAL_SEC = 0.1 PICKUP_BUTTON = 'z' class DropsSnapshoter(Snapshoter): def __init__(self, pipe_connection): super().__init__(pipe_connection, PIC_INTERVAL_SEC) ...
import numpy as np import itertools import sys import os from qmla.exploration_strategies import connected_lattice import qmla.shared_functionality.probe_set_generation from qmla import model_building_utilities class IsingProbabilistic(connected_lattice.ConnectedLattice): def __init__(self, exploration_rules, **k...
# import pandas as pd # from datetime import date, timedelta # from point import Point # import os # from urllib.error import HTTPError # sdate = date(2020, 3, 22) # start date || this is the first day that JHU posted data for MDC # edate = date.today() # end date || currently set to yesterday's date beca...
import inspect from contextlib import ExitStack from enum import Enum from typing import ( TYPE_CHECKING, Any, Callable, Generator, List, NamedTuple, Optional, Sequence, Union, cast, ) from dagster import check from dagster.core.errors import ( DagsterInvalidDefinitionError,...
import pygatt import retrying import struct TIMEOUT = 1 UUID_DEVICE_NAME = "00002a00-0000-1000-8000-00805f9b34fb" UUID_MODEL_NUMBER = "00002a24-0000-1000-8000-00805f9b34fb" UUID_MANUFACTURER = "00002a29-0000-1000-8000-00805f9b34fb" UUID_READ = "bccb0003-ca66-11e5-88a4-0002a5d5c51b" UUID_WRITE = "bccb0002-ca66-11e5-8...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ """ __version__ = "1.0.0" __author__ = "Qu DoNG" # https://leetcode.com/problems/reverse-string/ class Solution(object): def reverseString_(self, s): """ result status: Time Limit Exceeded... :type s: str :rtype: str """ ...
""" Copyright 2020 The OneFlow 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 applicable law or agr...
#!/usr/bin/env python3 import pytest from helpers.cluster import ClickHouseCluster import random import string import os import time from multiprocessing.dummy import Pool from helpers.network import PartitionManager from helpers.test_tools import assert_eq_with_retry from kazoo.client import KazooClient, KazooState c...
'''Copyright 2018 Province of British Columbia Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing,...
def chess_positions(): return [f"{char}{num + 1}" for num in range(8) for char in "abcdefgh"] def knight_moves(): positions = chess_positions() moves = [] for position in positions: position_alpha_ord = ord(position[0]) position_digit = int(position[1]) moves.append(f"{position}...
# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the...
from datetime import datetime class PathEntity: def __init__(self, enter_time, leave_time, eid): self.enter_time = enter_time self.leave_time = leave_time self.eid = eid class Path: def __init__(self, oid, pid, path_entities): self.oid = oid self.pid = pid self...
# Copyright 2018 The TensorFlow Probability Authors. # # 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 o...
import wx class MyFrame(wx.Frame): def __init__(self): wx.Frame.__init__(self, parent=None, title="CheckBOx Example") self.mainPanel = wx.Panel(self) self.checkBold = wx.CheckBox(self.mainPanel, label="Bold") self.checkBold.SetValue(wx.CHK_CHECKED) self.checkItalic = wx.CheckBox(self.mainPanel, label="It...
#!/usr/bin/env python3 import subprocess import logging import copy import os import time from schema import VMDescriptionSchema, VMNameSchema from expose import ExposedClass, exposed, transformational from exception import VMRunningError, VMNotRunningError from threading import RLock from tap_device import TAPDevice...
import pandas as pd from src.data.fuels.calc_ghgi import calcGHGI from src.data.fuels.calc_cost import calcCost from src.timeit import timeit # calculate fuel data @timeit def calcFuelData(times: list, full_params: pd.DataFrame, fuels: dict, gwp: str = 'gwp100', levelised: bool = False): fuelSpecs = {'names': {}...
#!/usr/bin/env python3 import numpy import scipy.stats import matplotlib matplotlib.use("Agg") import pylab import seaborn seaborn.set(context="paper", style="white", palette="deep") data=numpy.loadtxt("bias_log.csv", delimiter=",") data[:,0]*=1000 linfit=numpy.zeros([4,4]) pylab.close() pylab.figure(figsize=(3,2))...
# First import the library import pyrealsense2 as rs from PIL import Image import numpy as np import cv2 image_no = 100000 # Create a context object. This object owns the handles to all connected realsense devices pipeline = rs.pipeline() config = rs.config() print(config) exit() config.enable_stream(rs.stream.dept...
from builtins import str from builtins import zip from builtins import range from past.builtins import basestring import unittest2 as unittest import numpy as np from vsm.viewer.labeleddata import * class TestLabeleddata(unittest.TestCase): def setUp(self): words = ['row', 'row', 'row', 'your', 'boat'...
# Copyright (c) 2020, 2021, Oracle and/or its affiliates. # # Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/ # import enum import typing from typing import Optional, List, Tuple, cast, overload from kopf.structs.bodies import Body from ..k8sobject import K8sInte...
import inspect import os import re import sys from collections import abc from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Set, Tuple, Union from unittest.mock import MagicMock, patch import yaml from django.http import HttpResponse from jsonschema.exceptions import ValidationError from zerv...
## @ingroup Components-Energy-Networks # Solar.py # # Created: Jun 2014, E. Botero # Modified: Feb 2016, T. MacDonald # Mar 2020, M. Clarke # Jul 2021, E. Botero # Aug 2021, M. Clarke # ---------------------------------------------------------------------- # Imports # ----------------...
# -*- coding: utf-8 -*- """DNACenterAPI pnp API fixtures and tests. Copyright (c) 2019-2020 Cisco and/or its affiliates. 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...
from django.contrib import admin # Register your models here. from apps.user.models import User admin.site.register(User)
""" Example of solving a Kaggle problem using schemaflow's API. This script performs an end-to-end analysis and prediction of the Kaggle exercise https://www.kaggle.com/c/house-prices-advanced-regression-techniques It demonstrates the advantages of explicitly declaring the types in the Pipe (using Schemaflow's API). ...
for a in range(100,1000): ge=a%10 shi=a//10%10 bai=a//100 if a == bai**3+shi**3+ge**3 : print("水仙花数是{}。".format(a))
############################################################################### # # Tests for XlsxWriter. # # Copyright (c), 2013-2020, John McNamara, jmcnamara@cpan.org # from ..excel_comparsion_test import ExcelComparisonTest from ...workbook import Workbook class TestCompareXLSXFiles(ExcelComparisonTest): """...
# -*- coding: utf-8 -*- """SQLite parser.""" from __future__ import unicode_literals import os import tempfile # pylint: disable=wrong-import-order try: from pysqlite2 import dbapi2 as sqlite3 except ImportError: import sqlite3 from dfvfs.path import factory as dfvfs_factory from plaso.lib import specification...
#import module from tkinter for UI from tkinter import * from playsound import playsound import os from datetime import datetime; #creating instance of TK root=Tk() root.configure(background="white") #root.geometry("300x300") def function1(): os.system("py dataset_capture.py") def function2(): ...
from django.db import models from django.contrib.auth.models import AbstractUser # Create your models here. class UserProfile(AbstractUser): email = models.EmailField(unique=True)
""" ASGI config for yemeksepeti project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_S...
import win32gui, win32con, win32api, time, os, glob ## some of these tests will fail for systems prior to XP for pname in( ## Set actions all take an unsigned int in pvParam "SPI_GETMOUSESPEED", "SPI_GETACTIVEWNDTRKTIMEOUT", "SPI_GETCARETWIDTH", "SPI_GETFOREGROUNDFLASHCOUNT", "SPI_GETFOREGROUNDLOCKTI...
# # andre@corp.insite.com.br # 2017-10-10 # Codigo que faz regressao simples e encontra embeddings # # a ideia aqui e a seguinte: # - carregar dados do movielens # - inicializar o embedding de forma aleatoria # - encontrar os embeddings de filmes e de usuarios que gerem o menor erro possivel # t8: retira os bias de...
import cv2 import torch import torchvision.utils import torch.optim as optim import torch.nn.functional as F import numpy as np import glob import pprint import os import time from shutil import copyfile import pdb import random from collections import Counter, namedtuple from models import DnCNN_DS, MulticlassNet fro...
# Unless explicitly stated otherwise all files in this repository are licensed # under the Apache License Version 2.0. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2016-2019 Datadog, Inc. from checks import AgentCheck from common import assert_init_config_init, assert...
# !/usr/bin/python # -*- coding: utf-8 -*- ############################## #### Revision information #### import subprocess major_ver = 2 minor_ver = 1 old_count = 208 try: revision = int(subprocess.check_output(['git', 'rev-list', '--count', '--first-parent', 'HEAD'])) ver_str = '%d.%d.%d' % (major_ver, mino...
""" mlperf inference benchmarking tool """ from __future__ import division from __future__ import print_function from __future__ import unicode_literals import argparse import array import collections import json import logging import os import sys import threading import time from queue import Queue import mlperf_l...
import fnmatch import os import re from enum import IntEnum from . import builtin from ..file_types import File from ..iterutils import iterate from ..backends.make import writer as make from ..backends.ninja import writer as ninja from ..backends.make.syntax import Writer, Syntax from ..build_inputs import build_inpu...
# Copyright (c) 2011-2015 Berkeley Model United Nations. All rights reserved. # Use of this source code is governed by a BSD License (see LICENSE). import csv import uuid import StringIO from huxley.accounts.models import User from huxley.core.constants import ContactGender, ContactType, ProgramTypes from huxley.core...
#coding:utf-8 import numpy as np import pylab as pl from sklearn import svm, datasets """ 線形SVMでirisデータを分類 """ # データをロード iris = datasets.load_iris() X = iris.data[:, :2] Y = iris.target # 分類器を学習 clf = svm.SVC(C=1.0, kernel='linear') clf.fit(X, Y) pl.figure(1) # メッシュの各点の分類結果を描画 h = 0.02 x_min, x_max = X[:, 0].min()...
# GENERATED BY KOMAND SDK - DO NOT EDIT import insightconnect_plugin_runtime import json class Input: CREDENTIALS = "credentials" HOSTNAME = "hostname" PORT = "port" class ConnectionSchema(insightconnect_plugin_runtime.Input): schema = json.loads(""" { "type": "object", "title": "Variable...
import unittest from unittest import mock from unittest.mock import MagicMock from clovars.simulation import analyse_simulation_function from tests import SKIP_TESTS @mock.patch('clovars.simulation.analysis.analyse_simulation.SimulationLoader') # do not actually attempt to load data! class TestAnalyseSimulation(uni...
# -*- coding: utf-8 -*- import collections import itertools as itt import numpy as np from iminuit import Minuit from ._libstat import _vector_apply from .costfunc import BinnedChi2, BinnedLH, UnbinnedLH from .nputil import minmax def fit_uml(f, data, quiet=False, print_level=0, *arg, **kwd): """ perform un...
"""User url routes""" from django.conf.urls import include from django.urls import path from rest_framework import routers from profiles.views import ( UserRetrieveViewSet, CurrentUserRetrieveUpdateViewSet, CountriesStatesViewSet, ChangeEmailRequestViewSet, ) router = routers.DefaultRouter() router.re...
# Copyright 2008-2015 Nokia Networks # Copyright 2016- Robot Framework 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 ...
# -*- coding: utf-8 -*- # Copyright (c) 2021, Mrunmay D and contributors # For license information, please see license.txt from __future__ import unicode_literals # import frappe from frappe.utils.nestedset import NestedSet class Account(NestedSet): nsm_parent_field = "parent_account"
#!/usr/bin/python # -*- coding: utf-8 -*- # This program 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 version 3 of the License, or # (at your option) any later version. # # This progra...
# -*- coding: utf-8 -*- # SimpleNetV1(2016) # Implementation of https://arxiv.org/abs/1608.06037 # Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures import torch import torch.nn as nn import torch.nn.functional as F from collections import OrderedDict import os ...
# -*- coding: utf-8 -*- """ Created on Fri Nov 5 17:04:12 2021 @author: adamkritz """ import matplotlib.gridspec as grd import pandas as pd import sys from PyQt5.QtWidgets import QMainWindow, QAction, QApplication import webbrowser from PyQt5.QtWidgets import QSizePolicy from PyQt5.QtWidgets import QPushButton f...
from __future__ import absolute_import # Copyright (c) 2010-2018 openpyxl import pytest from copy import copy @pytest.fixture def CellRange(): from ..cell_range import CellRange return CellRange class TestCellRange: def test_ctor(self, CellRange): cr = CellRange(min_col=1, min_row=1, max_col=5...
# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2012 Nicira, 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/li...
# 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 use ...
# # 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 us...
# coding: utf-8 """ Kubernetes No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 <<<<<<< HEAD OpenAPI spec version: v1.15.6 Generated by: https://openapi-generator.tech ======= OpenAPI spec version: v1.5.3 Generated b...
import _plotly_utils.basevalidators class ShowticksuffixValidator( _plotly_utils.basevalidators.EnumeratedValidator ): def __init__( self, plotly_name='showticksuffix', parent_name='heatmap.colorbar', **kwargs ): super(ShowticksuffixValidator, self).__init__( ...
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr> # Mathieu Blondel <mathieu@mblondel.org> # Olivier Grisel <olivier.grisel@ensta.org> # Andreas Mueller <amueller@ais.uni-bonn.de> # Eric Martin <eric@ericmart.in> # Giorgio Patrini <giorgio.patrini@anu.edu.au> # ...
from copy import deepcopy from django.test import TestCase from mock import patch, mock from corehq.apps.accounting.tests.utils import DomainSubscriptionMixin from corehq.apps.commtrack.tests.util import make_loc from corehq.apps.domain.models import Domain from corehq.apps.user_importer.importer import ( create...
# coding: utf-8 """ Justap API 欢迎阅读 Justap Api 文档 Justap 是为移动端应用和PC端应用打造的下一代聚合支付SAAS服务平台,通过一个 SDK 即可快速的支持各种形式的应用,并且一次接口完成多个不同支付渠道的接入。平台除了支持服务商子商户模式,同时还对商家自有商户(即自己前往微信、支付宝等机构开户)提供了完整的支持。 感谢您的支持,我们将不断探索,为您提供更优质的服务!如需技术支持可前往商户中心提交工单,支持工程师会尽快与您取得联系! # 文档说明 采用 REST 风格设计。所有接口请求地址都是可预期的以及面向资源的。使用规范的 HTTP 响应代码来表示请...
from django.test import TestCase from django.contrib.auth.models import User from users.models import Profile class UserModelTests(TestCase): def setUp(self): # Create a test user self.test_user = User.objects.create_user( id=1, first_name="Ron", last_name="...
#!/usr/bin/env python from utils import utils def main(): reach = 824501 # reach = 92510 # reach = 59414 # reach = 18 recipes = [3, 7] worker_one = 0 worker_two = 1 idx = -1 look_at_steps = 6 look_at = 1 while True: score_new_recipe = recipes[worker_one] + recipes...
#! /usr/bin/env python3 import os import re import time import json import logging import pickle import threading import requests from argparse import ArgumentParser from configparser import ConfigParser from pathlib import Path from tempfile import NamedTemporaryFile from cs import read_config, CloudStack import cat...
import pandas as pd import subprocess from subprocess import Popen, PIPE, STDOUT import sys import os from distutils.spawn import find_executable import multiprocessing from functools import partial from osgeo import gdal import rasterio import bare.io import bare.geospatial def create_overview(img_file_name, scale=...
a=input() b =-1 while b: n=input() for i in range(1,100): print(i)
import setuptools setuptools.setup( name = 'fancy', packages = setuptools.find_packages(), version = 'v3.0.0', description = 'Framework for the Analysis of Cosmic raYs', author = 'Francesca Capel', author_email = 'capel.francesca@gmail.com', url = 'https://github.com/cescalara/fancy', ...
import torch from torch.autograd import Variable import torch.nn.functional as F import torchvision.transforms as transforms import torch.nn as nn import torch.utils.data import numpy as np from opt import opt from dataloader import VideoLoader, DetectionLoader, DetectionProcessor, DataWriter, Mscoco from ...