text stringlengths 2 999k |
|---|
"""Support for WLED."""
from __future__ import annotations
from datetime import timedelta
import logging
from wled import WLED, Device as WLEDDevice, WLEDConnectionError, WLEDError
from homeassistant.components.light import DOMAIN as LIGHT_DOMAIN
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
fr... |
#######################################################################
import leiap
import pandas as pd
#######################################################################
def test_clean_datetimes_return_df():
pts = leiap.get_points_simple()
df = leiap.clean_datetimes(pts)
assert isinstance(df, pd.D... |
from ..config import pg, username, debug, reddit, donotreply
from ..RedditPoller.RedditPoller import RedditPoller, CommentWrapper
from ..RedditPoller.Retry import retry
from geopy.point import Point
from geopy.distance import distance
from sty import fg
from random import randrange
from halo import Halo
import re
impor... |
"""Muscle modeling and simulation."""
from __future__ import division, print_function
import numpy as np
from scipy.integrate import ode
import warnings
import configparser
__author__ = 'Marcos Duarte, https://github.com/demotu/BMC'
__version__ = 'muscles.py v.1 2015/03/01'
class Thelen2003():
""" Thelen (2003... |
"""Unit test for node harvest.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import shutil
import sys
import tempfile
import unittest
import tarfile
import mock
from treadmill import postmortem
from ... |
# Copyright 2014
# The Cloudscaling Group, 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 ... |
#!/usr/bin/env python3
##############################################################################
# Project: arrayfunc
# Purpose: Generate the unit tests for compress.
# Language: Python 3.5
# Date: 11-Jun-2014
#
###############################################################################
#
# Copyright 2... |
import numpy as np
import tensorflow as tf
class Critic:
def __init__(self, sess, state_size, action_size, param_size, num_outputs):
#TODO : add batch normalization
self.l1_size = 256
self.l2_size = 128
self.l3_size = 64
self.l4_size = 32
self.learning_rate = 0... |
from . import resource
from botocore.exceptions import ClientError
class Elb(resource.Resource):
METRICS = {
"Latency": "レイテンシー",
"RequestCount": "リクエストカウント",
"HealthyHostCount": "正常EC2数",
"UnHealthyHostCount": "危険EC2数",
"HTTPCode_ELB_4XX": "HTTPレスポンスコード(4xx)",
... |
# coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: v1.13.5
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import kube... |
class Reader:
def __init__(self, checker, size: int):
self.checker = checker
self.size = size
def read(self, path: str):
f = open(path, 'rb')
data = [0] * self.size
for i in range(self.size):
data[i] = [0] * self.size
col = 0
row = 0
... |
"""
WSGI config for phleeb project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTIN... |
"""config utilities for yml file."""
import logging
import os
import yaml
class LoaderMeta(type):
"""Constructor for supporting `!include`."""
def __new__(mcs, __name__, __bases__, __dict__):
"""Add include constructer to class."""
# register the include constructor on the class
cls =... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright [2017] Tatarnikov Viktor [viktor@tatarnikov.org]
#
# 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/licen... |
"""
Tests lightgbm->onnxmltools->hb conversion for lightgbm models.
"""
import unittest
import warnings
import sys
import os
import pickle
import numpy as np
from onnxconverter_common.data_types import FloatTensorType
from hummingbird.ml import convert
from hummingbird.ml import constants
from hummingbird.ml._utils i... |
#导入模块
import socket
import random
#创建实例
sk=socket.socket()
#定义绑定的IP和port
ip_port=("127.0.0.1"3334,)
#绑定监听
sk.bind(ip_port)
#最大连接数
sk.listen(5)
#不断循环，不断接受数据
while True:
#提升信息
print("正在进行等待接受数据......")
#接受数据
conn, address=sk.accept()
#定义信息
msg="连接成功!"
#返回信息
#python3.x以上，网络数据的发送和接受都是byte类型
#如果发送的数据是str型则需要进行编码
... |
import sockets.routing
from channels.auth import AuthMiddlewareStack
from channels.routing import ProtocolTypeRouter, URLRouter
application = ProtocolTypeRouter({
'websocket': AuthMiddlewareStack(
URLRouter(
sockets.routing.websocket_urlpatterns
)
)
})
|
from .schema import *
from .api import *
from ...datasets import (
list_datasets,
load_dataset
)
from .. import expr
from .display import VegaLite, renderers
from .data import (
pipe, curry, limit_rows,
sample, to_json, to_csv, to_values,
default_data_transformer,
data_transformers
)
|
"""Very simple example using a pair of Lennard-Jones particles.
Requires the package `openmmtools` which can be installed from
anaconda: `conda install -c omnia openmmtools`
Openmmtools just provides a ready-made system for the lennard jones
particles.
This script is broken up into several parts:
1. Importing the p... |
#!/usr/bin/env python
# vim:et:ts=2:sw=2
import cgi, datetime, email.utils, json, re, time, urllib2
CONFIG_FILE = 'rssplus.config.json'
URL = 'https://www.googleapis.com/plus/v1/people/%s/activities/public?key=%s'
def error(msg):
print('')
print(msg + '.')
exit(0)
def convertUtf8(data):
if isinstance(data, ... |
from itertools import combinations_with_replacement as comb, product, combinations
def must_consistent(part):
must = []
for i in range(len(part)):
must += list(comb(part[i], 2))
must += [(j, i) for i, j in must if i != j]
return must
def cannot_consistent(part):
cannot = []
for i, ... |
# Copyright 2019-2022 Huawei Technologies Co., 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 law or agre... |
# A helper file to remove checkpoints until we figure out a solution
from glob import glob
from shutil import rmtree
chkpoints = glob('./**/.ipynb_checkpoints', recursive=True)
for ichk in chkpoints:
rmtree(ichk) |
#!/usr/bin/env python3
from distutils.core import setup
setup(name='torsocks',
version='1.0',
description='a tool for using Tor hidden services.',
author='kralverde',
author_email='electrum.raven@gmail.com',
url='https://github.com/kralverde/torsocks',
packages=['torsocks'],
)
|
from enum import unique
from os import WEXITED
from re import T
from threading import current_thread
try:
import gstgva
from gstgva.util import libgst, gst_buffer_data
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
from db_query import DBQuery
from db_common import... |
import re
from maya import cmds
import pyblish.api
import pype.api
import pype.hosts.maya.action
def len_flattened(components):
"""Return the length of the list as if it was flattened.
Maya will return consecutive components as a single entry
when requesting with `maya.cmds.ls` without the `flatten`
... |
#!/usr/bin/env python
import urllib2
import sys, os
PDB_PATH = "http://www.rcsb.org/pdb/files/%s"
def help():
''' Print help and exit. '''
print('Usage: %s <directory>' % sys.argv[0])
print('Parameters:')
print('\t<directory> pointing to a path with \'list\' file of PDB structure names')
print('Ex... |
import inspect
from sanic import Sanic
from sanic.blueprints import Blueprint
from sanic.response import json, text
from sanic.utils import sanic_endpoint_test
from sanic.exceptions import NotFound, ServerError, InvalidUsage
# ------------------------------------------------------------ #
# GET
# ------------------... |
# Generated by Django 2.0.6 on 2018-06-23 12:32
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UserModel',
fields=[
('id', models.AutoFiel... |
import numpy as np
import pandas as pd
from math import isclose
div_series = pd.read_csv("data/divisions.csv",index_col=0,squeeze=True)
div_series.name = None
teams = sorted(list(div_series.index))
tol = .0001
reverse_dict = {'Win':'Loss','Loss':'Win', 'Tie':'Tie'}
def get_outcome(row):
s = row["Points_scored"... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__a... |
>>> import random
>>> random.random() # Returns a floating-point number in
0.8545672259166788 # the range (0,1)
>>> random.randrange(1,6) # Returns an integer in the
4 # range [1, 6)
>>> random.uniform(1, 3) # Returns a floating-point number
1.290486289287417 # in the range [1, 3... |
import torch
import torchvision
import torch.nn.functional as F
from torch import nn, optim
from torchvision import transforms, datasets
import matplotlib.pyplot as plt
import numpy as np
import copy
from scipy.special import expit
# Training Options
#=================================================================... |
# Copyright (c) 2021 PaddlePaddle 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... |
# -*- coding: utf-8 -*-
import inspect
from numbers import Number
import numpy as np
from ..constants import neutron_mass, hbar
from ..crystal import Sample
from ..energy import Energy
from .exceptions import AnalyzerError, MonochromatorError, ScatteringTriangleError
class _Dummy(object):
r"""Empty class for co... |
import os
import pickle
import random
from datetime import datetime
from app import db
import numpy as np
from random import randint
from matplotlib import pyplot as plt
from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn.multioutput import MultiOutputClassifier
from sklearn.... |
import time
import numpy as np
from ._helper_functions import estimate_error, get_observation_mask, update_log_prob_mask
def iteration(con, obs_mask, obs_data_mask, obs_data, likelihood, resol_ctrl, acq,
log_posterior, recon, log_weight_samples, num_obs, options):
prob = np.exp(log_posterior)
... |
#!/usr/bin/env python3
# encoding: utf-8
#
# Copyright (c) 2010 Doug Hellmann. All rights reserved.
#
"""Blank lines in the input cause mis-matches.
"""
#end_pymotw_header
def double_space(lines):
"""Prints a list of lines double-spaced.
>>> double_space(['Line one.', 'Line two.'])
Line one.
Line two... |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
try:
from django.contrib.auth import get_user_model
except ImportError: # django < 1.5
from django.contrib.auth.models import User
else:
User = get_user_model()
user_orm_label = ... |
# -*- coding: utf-8 -*-
from .filter_chat_id import FilterChatId
|
# Generated by Django 2.1.5 on 2020-04-29 20:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0004_auto_20200429_2208'),
]
operations = [
migrations.AddField(
model_name='spectatedcoordinates',
name='gam... |
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
import logging
import unittest
from collections import OrderedDict
from copy import deepcopy
import mxnet as mx
import numpy as np
from hypothesis import given, strategies as st
from hypothesis.extra import numpy as hpnp
from mxnet import nd
fr... |
# Code Listing #3
"""
Maximum subarray problem - version #3
"""
def max_subarray(sequence):
""" Find sub-sequence in sequence having maximum sum """
# Trackers for max sum and max sub-array
max_sum, max_sub = 0, []
for i in range(len(sequence)):
for j in range(i+1, len(sequence)):
... |
from __future__ import absolute_import
import logging
from django.shortcuts import render_to_response, render, get_object_or_404, redirect
from django.template import RequestContext
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirec... |
# Copyright 2018 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
from cocoa.web.main.utils import Messages as BaseMessages
class Messages(BaseMessages):
ChatCompleted = "Congratulations, you successfully completed the task!"
ChatIncomplete = "Sorry, you weren't able to complete the task."
Redirect = "Sorry, that chat did not meet our acceptance criteria."
|
import onnx
from onnx import helper
from onnx import TensorProto
from enum import Enum
def GenerateModel3(model_name, has_cast):
nodes = [ # LayerNorm subgraph
helper.make_node("Shape", ["input_ids"], ["shape1_out"], "shape1"),
helper.make_node("Gather", ["shape1_out", "indices_0"], ["gather0_out... |
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
import logging
import time
import traceback
import stopit
from .errors import TimeoutError
logger = logging.getLogger(__name__)
def jsonify_error(error):
error_type = error.__class__.__name__
message = str(error)
return {'error': {'type': error_type, 'message': message}}
def timeout(func, *args, sec... |
from keras.preprocessing import image
from tqdm import tqdm
def path_to_tensor(img_path):
img = image.load_img(img_path, target_size=(224, 224))
x = image.img_to_array(img)
return np.expand_dims(x, axis=0)
def paths_to_tensor(img_paths):
list_of_tensors = [path_to_tensor(img_path) for img_path in tqd... |
#!/usr/bin/env python3
# Copyright (c) 2014-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Run regression test suite.
This module calls down into individual test cases via subprocess. It will
f... |
from .constants import Constants
version = Constants.MLOPS_CURRENT_VERSION
__version__ = Constants.MLOPS_CURRENT_VERSION
# TODO: switch to following
#project_name = Constants.OFFICIAL_NAME
# For now until name change
project_name = Constants.OFFICIAL_NAME
symlink_name = "mlops"
from .versions import Versions
from ... |
from django.shortcuts import render
from rest_framework import viewsets
from rest_framework import (generics,permissions,renderers,)
from commoninfo.permissions import IsOwnerOrReadOnly,CustomDjangoModelPermissions
from facilities.models import StgHealthFacility
from indicators.models import FactDataIndicator
from hea... |
# -*- coding: utf-8 -*-
from functools import partial
import torch
from torchtext.data import Field, RawField
from onmt.inputters.dataset_base import DatasetBase
class TextDataset(DatasetBase):
"""
Build `Example` objects, `Field` objects, and filter_pred function
from text corpus.
Args:
fi... |
# coding: utf-8
"""
Thola
REST API for Thola. For more information look at our Github : https://github.com/inexio/thola # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
impor... |
"""
:author: Maikel Punie <maikel.punie@gmail.com>
"""
import json
import velbus
COMMAND_CODE = 0xbe
class CounterStatusMessage(velbus.Message):
"""
send by: VMB7IN
received by:
"""
def __init__(self, address=None):
velbus.Message.__init__(self)
self.channel = 0
self.puls... |
from selenium.webdriver.common.by import By
import time
class ContactHelper:
def __init__(self, app):
self.app = app
def open_contact_form(self):
wd = self.app.wd
wd.find_element(By.LINK_TEXT, "add new").click()
def create_contact(self, contact):
wd = self.app.wd
... |
'''
app.forms
~~~~~~~~~
Forms we need to use when posting datas in our website.
flask_wtf.Form is still useable, but FlaskForm is suggested.
'''
from flask_wtf import FlaskForm
from wtforms import StringField, BooleanField, TextAreaField
from wtforms.validators import DataRequired, Length
from flask_babel import get... |
from __future__ import print_function
import numpy as np
import time
import pickle
from pprint import pprint
import openmdao.api as om
from N3ref import N3, viewer
prob = om.Problem()
des_vars = prob.model.add_subsystem('des_vars', om.IndepVarComp(), promotes=["*"])
des_vars.add_output('inlet:ram_recovery', 0.99... |
"""
Given n nodes labeled from 0 to n - 1 and a list of undirected edges (each edge is a pair of nodes), write a function to check whether these edges make up a valid tree.
For example:
Given n = 5 and edges = [[0, 1], [0, 2], [0, 3], [1, 4]], return true.
Given n = 5 and edges = [[0, 1], [1, 2], [2, 3], [1, 3], [1,... |
# 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
# d... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
############################################################################
#
# Copyright (C) 2016 The Qt Company Ltd.
# Contact: https://www.qt.io/licensing/
#
# This file is part of Qt Creator.
#
# Commercial License Usage
# Licensees holding valid commercial Qt licenses may use this file in
# accordance with the co... |
#!/usr/bin/env python
import imp
import os
import setuptools
requirements = {
'stylecheck': [
'hacking',
'autopep8',
],
'test': [
'numpy',
'pytest',
],
'travis': [
'-r stylecheck',
'-r test',
'pytest-timeout',
'pytest-cov',
],
... |
import numpy as np
from time import time
from collections import deque, namedtuple
'''
frame_blobs() defines blobs: contiguous areas of positive or negative deviation of gradient. Gradient is estimated
as |dx| + |dy|, then selectively and more precisely as hypot(dx, dy), from cross-comparison among adjacen... |
# tests.cloud.core.__init__ is python-3.6 source file
# MIT License
#
# Copyright (c) 2021 Handle.
#
# 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 ... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2009-2015 Ben Kurtovic <ben.kurtovic@gmail.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, including without limitation ... |
# -*- coding: utf-8 -*-
"""
Root system data for type F
"""
# ****************************************************************************
# Copyright (C) 2008-2009 Daniel Bump
# Copyright (C) 2008-2009 Justin Walker
# Copyright (C) 2008-2009 Nicolas M. Thiery <nthiery at users.sf.net>,
#
# Distribut... |
from http import HTTPStatus
from typing import Optional, Type
from marshmallow import Schema
from {{cookiecutter.project_slug}}.lib.schemas.response import (
CreatedSchema, ForbiddenSchema, InternalServerErrorSchema,
NotFoundSchema, OKSchema, UnauthorizedSchema
)
class OperationSpec:
def __init__(
... |
"""An AdaNet estimator implementation which can run on TPU.
Copyright 2018 The AdaNet 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
https://www.apache.org/licen... |
# -*- coding: utf-8 -*-
import time
def test_minimum(app):
app.group.open_group_editor()
time.sleep(1)
app.group.close_group_editor()
|
#!/usr/bin/env python
import json
import networkx as nx
import matplotlib.pyplot as plt
from graphviz import Source, render
import sys
if len(sys.argv) == 2:
f = open(sys.argv[1])
json_data = "".join(f.readlines())
else:
# Read from stdin
json_data = "".join(sys.stdin.readlines())
python_data = json.l... |
import imaplib
from imbox.imap import ImapTransport
from imbox.messages import Messages
import logging
from imbox.vendors import GmailMessages, hostname_vendorname_dict, name_authentication_string_dict
logger = logging.getLogger(__name__)
class Imbox:
authentication_error_message = None
def __init__(sel... |
# coding=utf-8
"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import deserialize
from twilio.base import serialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import ... |
from typing import Optional, Union
import numpy as np
from scipy import ndimage
from reconstruction.data.chunks import ChunkGrid, Chunk
from reconstruction.data.faces import ChunkFace
bool_t = Union[bool, np.bool8]
def dilate(image: ChunkGrid[bool_t], steps=1, structure: Optional[np.ndarray] = None, mask: ChunkGri... |
from functools import lru_cache
from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.orm.properties import ColumnProperty
from .db import db
class CRUDable(object):
@classmethod
def create(cls, fields):
instance = db.add(cls())
instance.set_fields(fields)
return... |
"""
When a PipelineExecuteResult (in JSON format) contains a result_uri list,
read each of the files in that list and embed its results into the JSON
Example:
- If you see a file uri:
{
...
"progressInfo": "COMPLETED",
"pipelineId": "pipeline_1",
"pipelineInfo": {
"predictResul... |
#----------------------------------------------
#--- Author : Ahmet Ozlu
#--- Mail : ahmetozlu93@gmail.com
#--- Date : 27th January 2018
#----------------------------------------------
"""A set of functions that are used for visualization.
These functions often receive an image, perform so... |
"""Exceptions for WordCounter"""
class AccessLocalURI(PermissionError):
"""
User requested Local URI
* Local file (file:///etc/resolv.conf.d/resolv.conf)
* Intranet URI (https://cluster.local/dashboard)
"""
class NotAllowedScheme(AccessLocalURI):
"""
User requested not expected proto... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
##########################################################################
#
# Note: this file is mostly copied from ... |
import tkinter as tk
from Bia import *
from datetime import datetime
def render(page: Page):
FPS = 15
buffer = Queue()
handle = HandleEvent(buffer)
camera = Vision()
camera.start()
t = Timer(1/FPS, handle.timer)
t.start()
parent = page.parent()
WIDTH, HEIGHT = parent.shape()
... |
"""
LFW dataloading
"""
import argparse
import time
import numpy as np
import torch
from PIL import Image
from torch.utils.data import DataLoader, Dataset
from torchvision import transforms
import glob
import os
import pandas as pd
from torchvision.utils import make_grid
import matplotlib.pyplot as plt
import torchvi... |
"""Start the clustering."""
# pylint: disable=C0103
from time import time
import numpy as np
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_samples
from clustering.kmedoids import pam_npass
from clustering.metrics import (dissimilarity_matrix, _dissimilarity_matrix,
... |
import os
import argparse
from azureml.core import Workspace
from azureml.core.environment import Environment
from azureml.core.model import Model, InferenceConfig
import shutil
from ml_service.util.env_variables import Env
e = Env()
# Get Azure machine learning workspace
ws = Workspace.get(
name=e.workspace_name... |
from selenium import webdriver
class Scrap:
def __init__(self, driver):
self.driver = driver
self.url = 'https://minecraft.gamepedia.com/Java_Edition_version_history'
self.tables = 'wikitable' #class
def navigate(self):
self.driver.get(self.url)
def get_tables(self):
... |
import datetime
from unittest import TestCase
from module.analysis_util import the_closest_sprint_start_date, compose_search_jql_uri, get_last_sprint_duration
class AnalysisUtilTest(TestCase):
def setUp(self):
pass
@staticmethod
def test_write_down():
# rows = ["testA1|testA2", "testB1|t... |
import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "LinearTrend", cycle_length = 30, transform = "Logit", sigma = 0.0, exog_count = 100, ar_order = 12); |
from __future__ import unicode_literals
import frappe
def execute():
if frappe.db.count("File", filters={"attached_to_doctype": "Prepared Report", "is_private": 0}) > 10000:
frappe.db.auto_commit_on_many_writes = True
files = frappe.get_all("File", fields=["name", "attached_to_name"], filters={"attached_to_docty... |
import time
import math
from algosdk.logic import get_application_address
from algosdk.future.transaction import LogicSigAccount, LogicSigTransaction, OnComplete, StateSchema, ApplicationCreateTxn, \
ApplicationOptInTxn, ApplicationNoOpTxn, OnComplete
from .config import PoolStatus, Network, get_validator_index, g... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
import numpy as np
import h5py
import os
import torch
import pdb
from torch.utils.data import Dataset
class TorchDataLoader(Dataset):
"""Class minibatches from data on disk in HDF5 format"""
def __init__(self, args, region_dim, phrase_dim, plh, split):
"""Constructor
Arguments:
... |
import os
import sys
import tensorflow as tf
import configparser
FLAGS = tf.app.flags.FLAGS
## Configuration File Parse
CONFIG_DIR = './config.ini'
if len(sys.argv)>1 and sys.argv[1][-4:]=='.ini':
CONFIG_DIR = sys.argv[1]
CFP = configparser.ConfigParser()
CFP.read(CONFIG_DIR)
ARGS = CFP['Default']
'''
[Default]
... |
# Copyright 2016 The TensorFlow 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 ... |
import json
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import patch
import pytest
import numpy as np
from metaspace.sm_annotation_utils import (
IsotopeImages,
SMDataset,
GraphQLClient,
SMInstance,
MolecularDB,
)
from metaspace.tests.utils import sm, my_ds_... |
"""
GoalFunctionResult class
====================================
"""
from abc import ABC, abstractmethod
import torch
class GoalFunctionResultStatus:
SUCCEEDED = 0
SEARCHING = 1 # In process of searching for a success
MAXIMIZING = 2
SKIPPED = 3
class GoalFunctionResult(ABC):
"""Represents ... |
# Copyright (c) 2012 OpenStack Foundation.
# 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... |
# Copyright The PyTorch Lightning team.
#
# 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 i... |
import keras
import gin
@gin.configurable
def ResNet50(input_shape=None, pooling=None, classes=3):
"""Instantiates the ResNet50 architecture."""
img_input = keras.layers.Input(shape=input_shape)
x = keras.layers.ZeroPadding2D(padding=(3, 3), name='conv1_pad')(img_input)
x = keras.layers.Conv2D(... |
from __future__ import annotations
import pytest
from httpx import BasicAuth, Headers
from pgrest import Client
@pytest.fixture
async def postgrest_client():
async with Client("https://example.com") as client:
yield client
class TestConstructor:
@pytest.mark.asyncio
def test_simple(self, postg... |
#
# PySNMP MIB module ROOMALERT24E-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ROOMALERT24E-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:49:58 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... |
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