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# Algorithms
from spinup.algos.dqn.dqn import dqn
from spinup.algos.ddpg.ddpg import ddpg
from spinup.algos.ppo.ppo import ppo
from spinup.algos.sac.sac import sac
from spinup.algos.td3.td3 import td3
from spinup.algos.trpo.trpo import trpo
from spinup.algos.vpg.vpg import vpg
# Loggers
from spinup.utils.logx import Logger, EpochLogger
# Version
from spinup.version import __version__ |
import Vue from 'vue'
import {
SIDEBAR_TYPE,
DEFAULT_THEME,
DEFAULT_LAYOUT_MODE,
DEFAULT_COLOR,
DEFAULT_COLOR_WEAK,
DEFAULT_FIXED_HEADER,
DEFAULT_FIXED_SIDEMENU,
DEFAULT_FIXED_HEADER_HIDDEN,
DEFAULT_CONTENT_WIDTH_TYPE,
DEFAULT_MULTI_PAGE
} from "@/store/mutation-types"
const app = {
state: {
sidebar: {
opened: true,
withoutAnimation: false
},
device: 'desktop',
theme: '',
layout: '',
contentWidth: '',
fixedHeader: false,
fixSiderbar: false,
autoHideHeader: false,
color: null,
weak: false,
multipage: true //默认多页签模式
},
mutations: {
SET_SIDEBAR_TYPE: (state, type) => {
state.sidebar.opened = type
Vue.ls.set(SIDEBAR_TYPE, type)
},
CLOSE_SIDEBAR: (state, withoutAnimation) => {
Vue.ls.set(SIDEBAR_TYPE, true)
state.sidebar.opened = false
state.sidebar.withoutAnimation = withoutAnimation
},
TOGGLE_DEVICE: (state, device) => {
state.device = device
},
TOGGLE_THEME: (state, theme) => {
// setStore('_DEFAULT_THEME', theme)
Vue.ls.set(DEFAULT_THEME, theme)
state.theme = theme
},
TOGGLE_LAYOUT_MODE: (state, layout) => {
Vue.ls.set(DEFAULT_LAYOUT_MODE, layout)
state.layout = layout
},
TOGGLE_FIXED_HEADER: (state, fixed) => {
Vue.ls.set(DEFAULT_FIXED_HEADER, fixed)
state.fixedHeader = fixed
},
TOGGLE_FIXED_SIDERBAR: (state, fixed) => {
Vue.ls.set(DEFAULT_FIXED_SIDEMENU, fixed)
state.fixSiderbar = fixed
},
TOGGLE_FIXED_HEADER_HIDDEN: (state, show) => {
Vue.ls.set(DEFAULT_FIXED_HEADER_HIDDEN, show)
state.autoHideHeader = show
},
TOGGLE_CONTENT_WIDTH: (state, type) => {
Vue.ls.set(DEFAULT_CONTENT_WIDTH_TYPE, type)
state.contentWidth = type
},
TOGGLE_COLOR: (state, color) => {
Vue.ls.set(DEFAULT_COLOR, color)
state.color = color
},
TOGGLE_WEAK: (state, flag) => {
Vue.ls.set(DEFAULT_COLOR_WEAK, flag)
state.weak = flag
},
SET_MULTI_PAGE (state, multipageFlag) {
Vue.ls.set(DEFAULT_MULTI_PAGE, multipageFlag)
state.multipage = multipageFlag
}
},
actions: {
setSidebar: ({ commit }, type) => {
commit('SET_SIDEBAR_TYPE', type)
},
CloseSidebar({ commit }, { withoutAnimation }) {
commit('CLOSE_SIDEBAR', withoutAnimation)
},
ToggleDevice({ commit }, device) {
commit('TOGGLE_DEVICE', device)
},
ToggleTheme({ commit }, theme) {
commit('TOGGLE_THEME', theme)
},
ToggleLayoutMode({ commit }, mode) {
commit('TOGGLE_LAYOUT_MODE', mode)
},
ToggleFixedHeader({ commit }, fixedHeader) {
if (!fixedHeader) {
commit('TOGGLE_FIXED_HEADER_HIDDEN', false)
}
commit('TOGGLE_FIXED_HEADER', fixedHeader)
},
ToggleFixSiderbar({ commit }, fixSiderbar) {
commit( 'TOGGLE_FIXED_SIDERBAR', fixSiderbar)
},
ToggleFixedHeaderHidden({ commit }, show) {
commit('TOGGLE_FIXED_HEADER_HIDDEN', show)
},
ToggleContentWidth({ commit }, type) {
commit('TOGGLE_CONTENT_WIDTH', type)
},
ToggleColor({ commit }, color) {
commit('TOGGLE_COLOR', color)
},
ToggleWeak({ commit }, weakFlag) {
commit('TOGGLE_WEAK', weakFlag)
},
ToggleMultipage({ commit }, multipageFlag) {
commit('SET_MULTI_PAGE', multipageFlag)
}
}
}
export default app |
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//# sourceMappingURL=a9a7754c-21b30b1bbd0164a7ef7c.js.map |
# -*- coding: utf-8 -*-
'''
Created on 1983. 08. 09.
@author: Hye-Churn Jang, CMBU Specialist in Korea, VMware [[email protected]]
'''
exportObjects = []
# __ABX_IMPLEMENTATIONS_START__
#===============================================================================
# Rest SDK Implementation #
#===============================================================================
# __ABX_IMPLEMENTATIONS_END__
|
const lernaRun = require('@lerna/run');
runTemplateExplorer();
async function runTemplateExplorer() {
await lernaRun({ script: 'dev:parcel' });
}
|
var originx = 0;
var originy = 0;
var scale = 1;
var dragOffset = new Array();
var mouseIsDown = false;
function MouseWheelHandler(e)
{
// cross-browser wheel delta
var e = window.event || e; // old IE support
var delta = Math.max(-1, Math.min(1, (e.wheelDelta || -e.detail)));
var mousex = e.clientX - canvas.offsetLeft;
var mousey = e.clientY - canvas.offsetTop;
console.log(delta);
var zoom = 1 + delta/4;
context.translate(originx,originy);
context.scale(zoom,zoom);
context.translate(
-( mousex / scale + originx - mousex / ( scale * zoom ) ),
-( mousey / scale + originy - mousey / ( scale * zoom ) )
);
originx = ( mousex / scale + originx - mousex / ( scale * zoom ) );
originy = ( mousey / scale + originy - mousey / ( scale * zoom ) );
scale *= zoom;
return false;
}
window.onload = function()
{
canvas = document.getElementById('myCanvas');
if (canvas.addEventListener)
{
// IE9, Chrome, Safari, Opera
canvas.addEventListener("mousewheel", MouseWheelHandler, false);
// Firefox
canvas.addEventListener("DOMMouseScroll", MouseWheelHandler, false);
}
canvas.onmousedown = function(event)
{
dragOffset.x = event.clientX - canvas.offsetLeft ;
dragOffset.y = event.clientY - canvas.offsetTop;
mouseIsDown = true;
};
canvas.onmouseup = function(event)
{
mouseIsDown = false;
};
canvas.onmousemove = function(event)
{
if(!mouseIsDown) return;
var dx = (event.clientX - canvas.offsetLeft - dragOffset.x)/scale;
var dy = (event.clientY - canvas.offsetTop - dragOffset.y)/scale;
context.translate( dx , dy );
dragOffset.x = event.clientX - canvas.offsetLeft;
dragOffset.y = event.clientY - canvas.offsetTop;
originx -=dx;
originy -=dy;
return true;
};
} |
"use strict";
var test = require("tape")
var map = require("../")
var spigot = require("stream-spigot")
var concat = require("terminus").concat
test("ctor", function (t) {
t.plan(2)
var Map = map.ctor(function (record) {
record.foo.toUpperCase()
return record
})
function combine(records) {
t.equals(records.length, 5, "Correct number of remaining records")
t.notOk(records.filter(function (r) { /^[A-Z]$/.exec(r.foo) }).length, "Everything uppercased")
}
spigot({objectMode: true}, [
{foo: "bar"},
{foo: "baz"},
{foo: "bif"},
{foo: "blah"},
{foo: "buzz"},
])
.pipe(new Map({objectMode: true}))
.pipe(concat({objectMode: true}, combine))
})
test("ctor options", function (t) {
t.plan(7)
var Map = map.ctor({objectMode: true, foo: "bar"}, function (record) {
t.equals(this.options.foo, "bar", "can see options")
record.foo.toUpperCase()
return record
})
function combine(records) {
t.equals(records.length, 5, "Correct number of remaining records")
t.notOk(records.filter(function (r) { /^[A-Z]$/.exec(r.foo) }).length, "Everything uppercased")
}
spigot({objectMode: true}, [
{foo: "bar"},
{foo: "baz"},
{foo: "bif"},
{foo: "blah"},
{foo: "buzz"},
])
.pipe(new Map({objectMode: true}))
.pipe(concat({objectMode: true}, combine))
})
test("objCtor", function (t) {
t.plan(7)
var Map = map.objCtor(function (record) {
t.equals(this.options.objectMode, true, "can see options")
record.foo.toUpperCase()
return record
})
function combine(records) {
t.equals(records.length, 5, "Correct number of remaining records")
t.notOk(records.filter(function (r) { /^[A-Z]$/.exec(r.foo) }).length, "Everything uppercased")
}
spigot({objectMode: true}, [
{foo: "bar"},
{foo: "baz"},
{foo: "bif"},
{foo: "blah"},
{foo: "buzz"},
])
.pipe(new Map({objectMode: true}))
.pipe(concat({objectMode: true}, combine))
})
test("ctor buffer wantStrings index", function (t) {
t.plan(1)
var Map = map.ctor({wantStrings: true}, function (chunk, index) {
return (index % 2 === 0) ? chunk.toUpperCase() : chunk
})
function combine(result) {
t.equals(result.toString(), "AbCdEf", "result is correct")
}
spigot([
"a",
"b",
"c",
"d",
"e",
"f",
]).pipe(new Map())
.pipe(concat(combine))
})
test("simple", function (t) {
t.plan(2)
var m = map({objectMode: true}, function (record) {
record.foo.toUpperCase()
return record
})
function combine(records) {
t.equals(records.length, 5, "Correct number of remaining records")
t.notOk(records.filter(function (r) { /^[A-Z]$/.exec(r.foo) }).length, "Everything uppercased")
}
spigot({objectMode: true}, [
{foo: "bar"},
{foo: "baz"},
{foo: "bif"},
{foo: "blah"},
{foo: "buzz"},
])
.pipe(m)
.pipe(concat({objectMode: true}, combine))
})
test("simple .obj", function (t) {
t.plan(2)
var m = map.obj(function (record) {
record.foo.toUpperCase()
return record
})
function combine(records) {
t.equals(records.length, 5, "Correct number of remaining records")
t.notOk(records.filter(function (r) { /^[A-Z]$/.exec(r.foo) }).length, "Everything uppercased")
}
spigot({objectMode: true}, [
{foo: "bar"},
{foo: "baz"},
{foo: "bif"},
{foo: "blah"},
{foo: "buzz"},
])
.pipe(m)
.pipe(concat({objectMode: true}, combine))
})
test("simple buffer", function (t) {
t.plan(1)
var f = map({objectMode: true}, function (chunk) {
return chunk.slice(0, 5)
})
function combine(result) {
t.equals(result.toString(), "abcdefglmnopuvwxyz", "result is correct")
}
spigot([
"a",
"b",
"cdefghijk",
"lmnopqrst",
"u",
"vwxyz",
]).pipe(f)
.pipe(concat(combine))
})
test("end early", function (t) {
t.plan(1)
var count = 0
var f = map(function (chunk) {
if (++count > 1)
return null
return chunk
})
function combine(result) {
t.equals(result.toString(), "a", "result is correct")
}
spigot([
"a",
"b",
"cdefghijk",
"lmnopqrst",
"u",
"vwxyz",
]).pipe(f)
.pipe(concat({objectMode: true}, combine))
})
|
import React from 'react';
import {Link} from 'react-router';
import NavbarStore from '../stores/NavbarStore';
import NavbarActions from '../actions/NavbarActions';
class Navbar extends React.Component {
constructor(props) {
super(props);
this.state = NavbarStore.getState();
this.onChange = this.onChange.bind(this);
}
componentDidMount() {
NavbarStore.listen(this.onChange);
NavbarActions.getCharacterCount();
let socket = io.connect();
socket.on('onlineUsers', (data) => {
NavbarActions.updateOnlineUsers(data);
});
$(document).ajaxStart(() => {
NavbarActions.updateAjaxAnimation('fadeIn');
});
$(document).ajaxComplete(() => {
setTimeout(() => {
NavbarActions.updateAjaxAnimation('fadeOut');
}, 750);
});
}
componentWillUnmount() {
NavbarStore.unlisten(this.onChange);
}
onChange(state) {
this.setState(state);
}
handleSubmit(event) {
event.preventDefault();
let searchQuery = this.state.searchQuery.trim();
if (searchQuery) {
NavbarActions.findCharacter({
searchQuery: searchQuery,
searchForm: this.refs.searchForm.getDOMNode(),
router: this.context.router
});
}
}
render() {
return (
<nav className='navbar navbar-default navbar-static-top'>
<div className='navbar-header'>
<button type='button' className='navbar-toggle collapsed' data-toggle='collapse' data-target='#navbar'>
<span className='sr-only'>Toggle navigation</span>
<span className='icon-bar'></span>
<span className='icon-bar'></span>
<span className='icon-bar'></span>
</button>
<Link to='/' className='navbar-brand'>
<span ref='triangles' className={'triangles animated ' + this.state.ajaxAnimationClass}>
<div className='tri invert'></div>
<div className='tri invert'></div>
<div className='tri'></div>
<div className='tri invert'></div>
<div className='tri invert'></div>
<div className='tri'></div>
<div className='tri invert'></div>
<div className='tri'></div>
<div className='tri invert'></div>
</span>
NEF
<span className='badge badge-up badge-danger'>{this.state.onlineUsers}</span>
</Link>
</div>
<div id='navbar' className='navbar-collapse collapse'>
<form ref='searchForm' className='navbar-form navbar-left animated' onSubmit={this.handleSubmit.bind(this)}>
<div className='input-group'>
<input type='text' className='form-control' placeholder={this.state.totalCharacters + ' characters'} value={this.state.searchQuery} onChange={NavbarActions.updateSearchQuery} />
<span className='input-group-btn'>
<button className='btn btn-default' onClick={this.handleSubmit.bind(this)}><span className='glyphicon glyphicon-search'></span></button>
</span>
</div>
</form>
<ul className='nav navbar-nav'>
<li><Link to='/'>Home</Link></li>
<li><Link to='/stats'>Stats</Link></li>
<li className='dropdown'>
<a href='#' className='dropdown-toggle' data-toggle='dropdown'>Top 100 <span className='caret'></span></a>
<ul className='dropdown-menu'>
<li><Link to='/top'>Top Overall</Link></li>
<li className='dropdown-submenu'>
<Link to='/top/caldari'>Caldari</Link>
<ul className='dropdown-menu'>
<li><Link to='/top/caldari/achura'>Achura</Link></li>
<li><Link to='/top/caldari/civire'>Civire</Link></li>
<li><Link to='/top/caldari/deteis'>Deteis</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/top/gallente'>Gallente</Link>
<ul className='dropdown-menu'>
<li><Link to='/top/gallente/gallente'>Gallente</Link></li>
<li><Link to='/top/gallente/intaki'>Intaki</Link></li>
<li><Link to='/top/gallente/jin-mei'>Jin-Mei</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/top/minmatar'>Minmatar</Link>
<ul className='dropdown-menu'>
<li><Link to='/top/minmatar/brutor'>Brutor</Link></li>
<li><Link to='/top/minmatar/sebiestor'>Sebiestor</Link></li>
<li><Link to='/top/minmatar/vherokior'>Vherokior</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/top/amarr'>Amarr</Link>
<ul className='dropdown-menu'>
<li><Link to='/top/amarr/amarr'>Amarr</Link></li>
<li><Link to='/top/amarr/ni-kunni'>Ni-Kunni</Link></li>
<li><Link to='/top/amarr/khanid'>Khanid</Link></li>
</ul>
</li>
<li className='divider'></li>
<li><Link to='/shame'>Hall of Shame</Link></li>
</ul>
</li>
<li className='dropdown'>
<a href='#' className='dropdown-toggle' data-toggle='dropdown'>Female <span className='caret'></span></a>
<ul className='dropdown-menu'>
<li><Link to='/female'>All</Link></li>
<li className='dropdown-submenu'>
<Link to='/female/caldari'>Caldari</Link>
<ul className='dropdown-menu'>
<li><Link to='/female/caldari/achura'>Achura</Link></li>
<li><Link to='/female/caldari/civire/'>Civire</Link></li>
<li><Link to='/female/caldari/deteis'>Deteis</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/female/gallente'>Gallente</Link>
<ul className='dropdown-menu'>
<li><Link to='/female/gallente/gallente'>Gallente</Link></li>
<li><Link to='/female/gallente/intaki'>Intaki</Link></li>
<li><Link to='/female/gallente/jin-mei'>Jin-Mei</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/female/minmatar'>Minmatar</Link>
<ul className='dropdown-menu'>
<li><Link to='/female/minmatar/brutor'>Brutor</Link></li>
<li><Link to='/female/minmatar/sebiestor'>Sebiestor</Link></li>
<li><Link to='/female/minmatar/vherokior'>Vherokior</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/female/amarr'>Amarr</Link>
<ul className='dropdown-menu'>
<li><Link to='/female/amarr/amarr'>Amarr</Link></li>
<li><Link to='/female/amarr/ni-kunni'>Ni-Kunni</Link></li>
<li><Link to='/female/amarr/khanid'>Khanid</Link></li>
</ul>
</li>
</ul>
</li>
<li className='dropdown'>
<a href='#' className='dropdown-toggle' data-toggle='dropdown'>Male <span className='caret'></span></a>
<ul className='dropdown-menu'>
<li><Link to='/male'>All</Link></li>
<li className='dropdown-submenu'>
<Link to='/male/caldari'>Caldari</Link>
<ul className='dropdown-menu'>
<li><Link to='/male/caldari/achura'>Achura</Link></li>
<li><Link to='/male/caldari/civire'>Civire</Link></li>
<li><Link to='/male/caldari/deteis'>Deteis</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/male/gallente'>Gallente</Link>
<ul className='dropdown-menu'>
<li><Link to='/male/gallente/gallente'>Gallente</Link></li>
<li><Link to='/male/gallente/intaki'>Intaki</Link></li>
<li><Link to='/male/gallente/jin-mei'>Jin-Mei</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/male/minmatar'>Minmatar</Link>
<ul className='dropdown-menu'>
<li><Link to='/male/minmatar/brutor'>Brutor</Link></li>
<li><Link to='/male/minmatar/sebiestor'>Sebiestor</Link></li>
<li><Link to='/male/minmatar/vherokior'>Vherokior</Link></li>
</ul>
</li>
<li className='dropdown-submenu'>
<Link to='/male/amarr'>Amarr</Link>
<ul className='dropdown-menu'>
<li><Link to='/male/amarr/amarr'>Amarr</Link></li>
<li><Link to='/male/amarr/ni-kunni'>Ni-Kunni</Link></li>
<li><Link to='/male/amarr/khanid'>Khanid</Link></li>
</ul>
</li>
</ul>
</li>
<li><Link to='/add'>Add</Link></li>
</ul>
</div>
</nav>
);
}
}
Navbar.contextTypes = {
router: React.PropTypes.func.isRequired
};
export default Navbar; |
#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ['Click>=7.0', ]
setup_requirements = ['pytest-runner', ]
test_requirements = ['pytest>=3', ]
setup(
author="Maurizio Zucchelli",
author_email='[email protected]',
python_requires='>=3.5',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description="The Tyranny of the Rocket Equation.",
entry_points={
'console_scripts': [
'day_1=day_1.cli:main',
],
},
install_requires=requirements,
license="MIT license",
long_description=readme + '\n\n' + history,
include_package_data=True,
keywords='day_1',
name='day_1',
packages=find_packages(include=['day_1', 'day_1.*']),
setup_requires=setup_requirements,
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/Denaun/day_1',
version='0.1.0',
zip_safe=False,
)
|
import handler from "./libs/handler-lib";
import dbConn from './config/db.config';
export const main = handler(async (event, context) => {
/*dbConn.query('SELECT * FROM notes WHERE id = ? AND user_id = ?', [event.pathParameters.id, 1], function (error, results, fields) {
if (error) throw error;
console.log(results[0].id);
return results[0];
});*/
return new Promise((resolve, reject) => {
dbConn.query('SELECT * FROM notes WHERE id = ? AND user_id = ?', [event.pathParameters.id, event.requestContext.identity.cognitoIdentityId], function (error, results, fields) {
if (results.length === 0) {
reject("Note not found.");
}
dbConn.end();
return error ? reject(error) : resolve(results[0]);
});
});
}); |
# Copyright 2017 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 law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
r"""Simple speech recognition to spot a limited number of keywords.
This is a self-contained example script that will train a very basic audio
recognition model in TensorFlow. It downloads the necessary training data and
runs with reasonable defaults to train within a few hours even only using a CPU.
For more information, please see
https://www.tensorflow.org/tutorials/audio_recognition.
It is intended as an introduction to using neural networks for audio
recognition, and is not a full speech recognition system. For more advanced
speech systems, I recommend looking into Kaldi. This network uses a keyword
detection style to spot discrete words from a small vocabulary, consisting of
"yes", "no", "up", "down", "left", "right", "on", "off", "stop", and "go".
To run the training process, use:
bazel run tensorflow/examples/speech_commands:train
This will write out checkpoints to /tmp/speech_commands_train/, and will
download over 1GB of open source training data, so you'll need enough free space
and a good internet connection. The default data is a collection of thousands of
one-second .wav files, each containing one spoken word. This data set is
collected from https://aiyprojects.withgoogle.com/open_speech_recording, please
consider contributing to help improve this and other models!
As training progresses, it will print out its accuracy metrics, which should
rise above 90% by the end. Once it's complete, you can run the freeze script to
get a binary GraphDef that you can easily deploy on mobile applications.
If you want to train on your own data, you'll need to create .wavs with your
recordings, all at a consistent length, and then arrange them into subfolders
organized by label. For example, here's a possible file structure:
my_wavs >
up >
audio_0.wav
audio_1.wav
down >
audio_2.wav
audio_3.wav
other>
audio_4.wav
audio_5.wav
You'll also need to tell the script what labels to look for, using the
`--wanted_words` argument. In this case, 'up,down' might be what you want, and
the audio in the 'other' folder would be used to train an 'unknown' category.
To pull this all together, you'd run:
bazel run tensorflow/examples/speech_commands:train -- \
--data_dir=my_wavs --wanted_words=up,down
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os.path
import sys
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
import tensorflow.examples.speech_commands.input_data as input_data
import tensorflow.examples.speech_commands.models as models
from tensorflow.python.platform import gfile
FLAGS = None
def main(_):
# Set the verbosity based on flags (default is INFO, so we see all messages)
tf.compat.v1.logging.set_verbosity(FLAGS.verbosity)
# Start a new TensorFlow session.
sess = tf.compat.v1.InteractiveSession()
# Begin by making sure we have the training data we need. If you already have
# training data of your own, use `--data_url= ` on the command line to avoid
# downloading.
model_settings = models.prepare_model_settings(
len(input_data.prepare_words_list(FLAGS.wanted_words.split(','))),
FLAGS.sample_rate, FLAGS.clip_duration_ms, FLAGS.window_size_ms,
FLAGS.window_stride_ms, FLAGS.feature_bin_count, FLAGS.preprocess)
audio_processor = input_data.AudioProcessor(
FLAGS.data_url, FLAGS.data_dir,
FLAGS.silence_percentage, FLAGS.unknown_percentage,
FLAGS.wanted_words.split(','), FLAGS.validation_percentage,
FLAGS.testing_percentage, model_settings, FLAGS.summaries_dir)
fingerprint_size = model_settings['fingerprint_size']
label_count = model_settings['label_count']
time_shift_samples = int((FLAGS.time_shift_ms * FLAGS.sample_rate) / 1000)
# Figure out the learning rates for each training phase. Since it's often
# effective to have high learning rates at the start of training, followed by
# lower levels towards the end, the number of steps and learning rates can be
# specified as comma-separated lists to define the rate at each stage. For
# example --how_many_training_steps=10000,3000 --learning_rate=0.001,0.0001
# will run 13,000 training loops in total, with a rate of 0.001 for the first
# 10,000, and 0.0001 for the final 3,000.
training_steps_list = list(map(int, FLAGS.how_many_training_steps.split(',')))
learning_rates_list = list(map(float, FLAGS.learning_rate.split(',')))
if len(training_steps_list) != len(learning_rates_list):
raise Exception(
'--how_many_training_steps and --learning_rate must be equal length '
'lists, but are %d and %d long instead' % (len(training_steps_list),
len(learning_rates_list)))
input_placeholder = tf.compat.v1.placeholder(
tf.float32, [None, fingerprint_size], name='fingerprint_input')
if FLAGS.quantize:
fingerprint_min, fingerprint_max = input_data.get_features_range(
model_settings)
fingerprint_input = tf.quantization.fake_quant_with_min_max_args(
input_placeholder, fingerprint_min, fingerprint_max)
else:
fingerprint_input = input_placeholder
logits, dropout_prob = models.create_model(
fingerprint_input,
model_settings,
FLAGS.model_architecture,
is_training=True)
# Define loss and optimizer
ground_truth_input = tf.compat.v1.placeholder(
tf.int64, [None], name='groundtruth_input')
# Optionally we can add runtime checks to spot when NaNs or other symptoms of
# numerical errors start occurring during training.
control_dependencies = []
if FLAGS.check_nans:
checks = tf.compat.v1.add_check_numerics_ops()
control_dependencies = [checks]
# Create the back propagation and training evaluation machinery in the graph.
with tf.compat.v1.name_scope('cross_entropy'):
cross_entropy_mean = tf.compat.v1.losses.sparse_softmax_cross_entropy(
labels=ground_truth_input, logits=logits)
if FLAGS.quantize:
try:
tf.contrib.quantize.create_training_graph(quant_delay=0)
except AttributeError as e:
msg = e.args[0]
msg += ('\n\n The --quantize option still requires contrib, which is not '
'part of TensorFlow 2.0. Please install a previous version:'
'\n `pip install tensorflow<=1.15`')
e.args = (msg,)
raise e
with tf.compat.v1.name_scope('train'), tf.control_dependencies(
control_dependencies):
learning_rate_input = tf.compat.v1.placeholder(
tf.float32, [], name='learning_rate_input')
if FLAGS.optimizer == 'gradient_descent':
train_step = tf.compat.v1.train.GradientDescentOptimizer(
learning_rate_input).minimize(cross_entropy_mean)
elif FLAGS.optimizer == 'momentum':
train_step = tf.compat.v1.train.MomentumOptimizer(
learning_rate_input, .9,
use_nesterov=True).minimize(cross_entropy_mean)
else:
raise Exception('Invalid Optimizer')
predicted_indices = tf.argmax(input=logits, axis=1)
correct_prediction = tf.equal(predicted_indices, ground_truth_input)
confusion_matrix = tf.math.confusion_matrix(labels=ground_truth_input,
predictions=predicted_indices,
num_classes=label_count)
evaluation_step = tf.reduce_mean(input_tensor=tf.cast(correct_prediction,
tf.float32))
with tf.compat.v1.get_default_graph().name_scope('eval'):
tf.compat.v1.summary.scalar('cross_entropy', cross_entropy_mean)
tf.compat.v1.summary.scalar('accuracy', evaluation_step)
global_step = tf.compat.v1.train.get_or_create_global_step()
increment_global_step = tf.compat.v1.assign(global_step, global_step + 1)
saver = tf.compat.v1.train.Saver(tf.compat.v1.global_variables())
# Merge all the summaries and write them out to /tmp/retrain_logs (by default)
merged_summaries = tf.compat.v1.summary.merge_all(scope='eval')
train_writer = tf.compat.v1.summary.FileWriter(FLAGS.summaries_dir + '/train',
sess.graph)
validation_writer = tf.compat.v1.summary.FileWriter(
FLAGS.summaries_dir + '/validation')
tf.compat.v1.global_variables_initializer().run()
start_step = 1
if FLAGS.start_checkpoint:
models.load_variables_from_checkpoint(sess, FLAGS.start_checkpoint)
start_step = global_step.eval(session=sess)
tf.compat.v1.logging.info('Training from step: %d ', start_step)
# Save graph.pbtxt.
tf.io.write_graph(sess.graph_def, FLAGS.train_dir,
FLAGS.model_architecture + '.pbtxt')
# Save list of words.
with gfile.GFile(
os.path.join(FLAGS.train_dir, FLAGS.model_architecture + '_labels.txt'),
'w') as f:
f.write('\n'.join(audio_processor.words_list))
# Training loop.
training_steps_max = np.sum(training_steps_list)
for training_step in xrange(start_step, training_steps_max + 1):
# Figure out what the current learning rate is.
training_steps_sum = 0
for i in range(len(training_steps_list)):
training_steps_sum += training_steps_list[i]
if training_step <= training_steps_sum:
learning_rate_value = learning_rates_list[i]
break
# Pull the audio samples we'll use for training.
train_fingerprints, train_ground_truth = audio_processor.get_data(
FLAGS.batch_size, 0, model_settings, FLAGS.background_frequency,
FLAGS.background_volume, time_shift_samples, 'training', sess)
# Run the graph with this batch of training data.
train_summary, train_accuracy, cross_entropy_value, _, _ = sess.run(
[
merged_summaries,
evaluation_step,
cross_entropy_mean,
train_step,
increment_global_step,
],
feed_dict={
fingerprint_input: train_fingerprints,
ground_truth_input: train_ground_truth,
learning_rate_input: learning_rate_value,
dropout_prob: 0.5
})
train_writer.add_summary(train_summary, training_step)
tf.compat.v1.logging.info(
'Step #%d: rate %f, accuracy %.1f%%, cross entropy %f' %
(training_step, learning_rate_value, train_accuracy * 100,
cross_entropy_value))
is_last_step = (training_step == training_steps_max)
if (training_step % FLAGS.eval_step_interval) == 0 or is_last_step:
set_size = audio_processor.set_size('validation')
total_accuracy = 0
total_conf_matrix = None
for i in xrange(0, set_size, FLAGS.batch_size):
validation_fingerprints, validation_ground_truth = (
audio_processor.get_data(FLAGS.batch_size, i, model_settings, 0.0,
0.0, 0, 'validation', sess))
# Run a validation step and capture training summaries for TensorBoard
# with the `merged` op.
validation_summary, validation_accuracy, conf_matrix = sess.run(
[merged_summaries, evaluation_step, confusion_matrix],
feed_dict={
fingerprint_input: validation_fingerprints,
ground_truth_input: validation_ground_truth,
dropout_prob: 1.0
})
validation_writer.add_summary(validation_summary, training_step)
batch_size = min(FLAGS.batch_size, set_size - i)
total_accuracy += (validation_accuracy * batch_size) / set_size
if total_conf_matrix is None:
total_conf_matrix = conf_matrix
else:
total_conf_matrix += conf_matrix
tf.compat.v1.logging.info('Confusion Matrix:\n %s' % (total_conf_matrix))
tf.compat.v1.logging.info('Step %d: Validation accuracy = %.1f%% (N=%d)' %
(training_step, total_accuracy * 100, set_size))
# Save the model checkpoint periodically.
if (training_step % FLAGS.save_step_interval == 0 or
training_step == training_steps_max):
checkpoint_path = os.path.join(FLAGS.train_dir,
FLAGS.model_architecture + '.ckpt')
tf.compat.v1.logging.info('Saving to "%s-%d"', checkpoint_path,
training_step)
saver.save(sess, checkpoint_path, global_step=training_step)
set_size = audio_processor.set_size('testing')
tf.compat.v1.logging.info('set_size=%d', set_size)
total_accuracy = 0
total_conf_matrix = None
for i in xrange(0, set_size, FLAGS.batch_size):
test_fingerprints, test_ground_truth = audio_processor.get_data(
FLAGS.batch_size, i, model_settings, 0.0, 0.0, 0, 'testing', sess)
test_accuracy, conf_matrix = sess.run(
[evaluation_step, confusion_matrix],
feed_dict={
fingerprint_input: test_fingerprints,
ground_truth_input: test_ground_truth,
dropout_prob: 1.0
})
batch_size = min(FLAGS.batch_size, set_size - i)
total_accuracy += (test_accuracy * batch_size) / set_size
if total_conf_matrix is None:
total_conf_matrix = conf_matrix
else:
total_conf_matrix += conf_matrix
tf.compat.v1.logging.warn('Confusion Matrix:\n %s' % (total_conf_matrix))
tf.compat.v1.logging.warn('Final test accuracy = %.1f%% (N=%d)' %
(total_accuracy * 100, set_size))
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'--data_url',
type=str,
# pylint: disable=line-too-long
default='https://storage.googleapis.com/download.tensorflow.org/data/speech_commands_v0.02.tar.gz',
# pylint: enable=line-too-long
help='Location of speech training data archive on the web.')
parser.add_argument(
'--data_dir',
type=str,
default='/tmp/speech_dataset/',
help="""\
Where to download the speech training data to.
""")
parser.add_argument(
'--background_volume',
type=float,
default=0.1,
help="""\
How loud the background noise should be, between 0 and 1.
""")
parser.add_argument(
'--background_frequency',
type=float,
default=0.8,
help="""\
How many of the training samples have background noise mixed in.
""")
parser.add_argument(
'--silence_percentage',
type=float,
default=10.0,
help="""\
How much of the training data should be silence.
""")
parser.add_argument(
'--unknown_percentage',
type=float,
default=10.0,
help="""\
How much of the training data should be unknown words.
""")
parser.add_argument(
'--time_shift_ms',
type=float,
default=100.0,
help="""\
Range to randomly shift the training audio by in time.
""")
parser.add_argument(
'--testing_percentage',
type=int,
default=10,
help='What percentage of wavs to use as a test set.')
parser.add_argument(
'--validation_percentage',
type=int,
default=10,
help='What percentage of wavs to use as a validation set.')
parser.add_argument(
'--sample_rate',
type=int,
default=16000,
help='Expected sample rate of the wavs',)
parser.add_argument(
'--clip_duration_ms',
type=int,
default=1000,
help='Expected duration in milliseconds of the wavs',)
parser.add_argument(
'--window_size_ms',
type=float,
default=30.0,
help='How long each spectrogram timeslice is.',)
parser.add_argument(
'--window_stride_ms',
type=float,
default=10.0,
help='How far to move in time between spectrogram timeslices.',
)
parser.add_argument(
'--feature_bin_count',
type=int,
default=40,
help='How many bins to use for the MFCC fingerprint',
)
parser.add_argument(
'--how_many_training_steps',
type=str,
default='15000,3000',
help='How many training loops to run',)
parser.add_argument(
'--eval_step_interval',
type=int,
default=400,
help='How often to evaluate the training results.')
parser.add_argument(
'--learning_rate',
type=str,
default='0.001,0.0001',
help='How large a learning rate to use when training.')
parser.add_argument(
'--batch_size',
type=int,
default=100,
help='How many items to train with at once',)
parser.add_argument(
'--summaries_dir',
type=str,
default='/tmp/retrain_logs',
help='Where to save summary logs for TensorBoard.')
parser.add_argument(
'--wanted_words',
type=str,
default='yes,no,up,down,left,right,on,off,stop,go',
help='Words to use (others will be added to an unknown label)',)
parser.add_argument(
'--train_dir',
type=str,
default='/tmp/speech_commands_train',
help='Directory to write event logs and checkpoint.')
parser.add_argument(
'--save_step_interval',
type=int,
default=100,
help='Save model checkpoint every save_steps.')
parser.add_argument(
'--start_checkpoint',
type=str,
default='',
help='If specified, restore this pretrained model before any training.')
parser.add_argument(
'--model_architecture',
type=str,
default='conv',
help='What model architecture to use')
parser.add_argument(
'--check_nans',
type=bool,
default=False,
help='Whether to check for invalid numbers during processing')
parser.add_argument(
'--quantize',
type=bool,
default=False,
help='Whether to train the model for eight-bit deployment')
parser.add_argument(
'--preprocess',
type=str,
default='mfcc',
help='Spectrogram processing mode. Can be "mfcc", "average", or "micro"')
# Function used to parse --verbosity argument
def verbosity_arg(value):
"""Parses verbosity argument.
Args:
value: A member of tf.logging.
Raises:
ArgumentTypeError: Not an expected value.
"""
value = value.upper()
if value == 'DEBUG':
return tf.compat.v1.logging.DEBUG
elif value == 'INFO':
return tf.compat.v1.logging.INFO
elif value == 'WARN':
return tf.compat.v1.logging.WARN
elif value == 'ERROR':
return tf.compat.v1.logging.ERROR
elif value == 'FATAL':
return tf.compat.v1.logging.FATAL
else:
raise argparse.ArgumentTypeError('Not an expected value')
parser.add_argument(
'--verbosity',
type=verbosity_arg,
default=tf.compat.v1.logging.INFO,
help='Log verbosity. Can be "DEBUG", "INFO", "WARN", "ERROR", or "FATAL"')
parser.add_argument(
'--optimizer',
type=str,
default='gradient_descent',
help='Optimizer (gradient_descent or momentum)')
FLAGS, unparsed = parser.parse_known_args()
tf.compat.v1.app.run(main=main, argv=[sys.argv[0]] + unparsed)
|
# -*- coding: utf-8 -*-
"""
Copyright (C) 2017 Sebastian Golasch (plugin.video.netflix)
Copyright (C) 2018 Caphm (original implementation module)
Copyright (C) 2020 Stefano Gottardo
Kodi library integration
SPDX-License-Identifier: MIT
See LICENSES/MIT.md for more information.
"""
from __future__ import absolute_import, division, unicode_literals
import os
from datetime import datetime
from future.utils import iteritems
import resources.lib.utils.api_requests as api
import resources.lib.common as common
import resources.lib.kodi.nfo as nfo
import resources.lib.kodi.ui as ui
from resources.lib.database.db_utils import VidLibProp
from resources.lib.globals import G
from resources.lib.kodi.library_tasks import LibraryTasks
from resources.lib.kodi.library_utils import (request_kodi_library_update, get_library_path,
FOLDER_NAME_MOVIES, FOLDER_NAME_SHOWS,
is_auto_update_library_running, request_kodi_library_scan_decorator,
get_library_subfolders, delay_anti_ban)
from resources.lib.utils.logging import LOG, measure_exec_time_decorator
try: # Kodi >= 19
from xbmcvfs import translatePath # pylint: disable=ungrouped-imports
except ImportError: # Kodi 18
from xbmc import translatePath # pylint: disable=ungrouped-imports
try: # Python 2
unicode
except NameError: # Python 3
unicode = str # pylint: disable=redefined-builtin
# Reasons that led to the creation of a class for the library operations:
# - Time-consuming update functionality like "full sync of kodi library", "auto update", "export" (large tv show)
# from context menu or settings, can not be performed within of the service side or will cause IPC timeouts
# and could block IPC access for other actions at same time.
# - The scheduled update operation for the library must be performed within the service, with the goal of:
# - Avoid tons of IPC calls that cause the continuous display of the loading screens while using Kodi
# to do other things at same time
# - Avoid use the IPC can improve the time for completion and so improve a bit the cpu use
# - Allows you to check when Kodi will be closed and avoid the force close of the add-on
# - A class allows you to choice to retrieve the data from Netflix by using IPC or directly nfsession.
# The time needed to initialize the class at each operation (about 30ms) is a small cost compared to the advantages.
def get_library_cls():
"""
Get the library class to do library operations
FUNCTION NOT TO BE USED IN ADD-ON SERVICE INSTANCE
"""
# This build a instance of library class by assigning access to external functions through IPC
return Library(api.get_metadata, api.get_mylist_videoids_profile_switch, None)
class Library(LibraryTasks):
"""Kodi library integration"""
def __init__(self, func_get_metadata, func_get_mylist_videoids_profile_switch, func_req_profiles_info):
LibraryTasks.__init__(self)
# External functions
self.ext_func_get_metadata = func_get_metadata
self.ext_func_get_mylist_videoids_profile_switch = func_get_mylist_videoids_profile_switch
self.ext_func_req_profiles_info = func_req_profiles_info
@request_kodi_library_scan_decorator
def export_to_library(self, videoid, show_prg_dialog=True):
"""
Export an item to the Kodi library
:param videoid: the videoid
:param show_prg_dialog: if True show progress dialog, otherwise, a background progress bar
"""
LOG.info('Start exporting {} to the library', videoid)
nfo_settings = nfo.NFOSettings()
nfo_settings.show_export_dialog(videoid.mediatype)
self.execute_library_task_gui(videoid,
self.export_item,
title=common.get_local_string(30018),
nfo_settings=nfo_settings,
show_prg_dialog=show_prg_dialog)
@request_kodi_library_scan_decorator
def export_to_library_new_episodes(self, videoid, show_prg_dialog=True):
"""
Export new episodes for a tv show by it's videoid
:param videoid: The videoid of the tv show to process
:param show_prg_dialog: if True show progress dialog, otherwise, a background progress bar
"""
LOG.info('Start exporting new episodes for {}', videoid)
if videoid.mediatype != common.VideoId.SHOW:
LOG.warn('{} is not a tv show, the operation is cancelled', videoid)
return
nfo_settings = nfo.NFOSettings()
nfo_settings.show_export_dialog(videoid.mediatype)
self.execute_library_task_gui(videoid,
self.export_new_item,
title=common.get_local_string(30198),
nfo_settings=nfo_settings,
show_prg_dialog=show_prg_dialog)
@request_kodi_library_scan_decorator
def update_library(self, videoid, show_prg_dialog=True):
"""
Update items in the Kodi library
:param videoid: the videoid
:param show_prg_dialog: if True show progress dialog, otherwise, a background progress bar
"""
LOG.info('Start updating {} in the library', videoid)
nfo_settings = nfo.NFOSettings()
nfo_settings.show_export_dialog(videoid.mediatype)
self.execute_library_task_gui(videoid,
self.remove_item,
title=common.get_local_string(30061),
nfo_settings=nfo_settings,
show_prg_dialog=show_prg_dialog)
self.execute_library_task_gui(videoid,
self.export_item,
title=common.get_local_string(30061),
nfo_settings=nfo_settings,
show_prg_dialog=show_prg_dialog)
def remove_from_library(self, videoid, show_prg_dialog=True):
"""
Remove an item from the Kodi library
:param videoid: the videoid
:param show_prg_dialog: if True show progress dialog, otherwise, a background progress bar
"""
LOG.info('Start removing {} from library', videoid)
common.remove_videoid_from_kodi_library(videoid)
self.execute_library_task_gui(videoid,
self.remove_item,
title=common.get_local_string(30030),
show_prg_dialog=show_prg_dialog)
def sync_library_with_mylist(self):
"""
Perform a full sync of Kodi library with Netflix "My List",
by deleting everything that was previously exported
"""
LOG.info('Performing sync of Kodi library with My list')
# Clear all the library
self.clear_library()
# Start the sync
self.auto_update_library(True, show_nfo_dialog=True, clear_on_cancel=True)
@measure_exec_time_decorator(is_immediate=True)
def clear_library(self, show_prg_dialog=True):
"""
Delete all exported items to the library
:param show_prg_dialog: if True, will be show a progress dialog window
"""
LOG.info('Start deleting exported library items')
# This will clear all the add-on library data, to prevents possible inconsistencies when for some reason
# such as improper use of the add-on, unexpected error or other has broken the library database data or files
with ui.ProgressDialog(show_prg_dialog, common.get_local_string(30245), max_value=3) as progress_dlg:
progress_dlg.perform_step()
progress_dlg.set_wait_message()
G.SHARED_DB.purge_library()
for folder_name in [FOLDER_NAME_MOVIES, FOLDER_NAME_SHOWS]:
progress_dlg.perform_step()
progress_dlg.set_wait_message()
section_root_dir = common.join_folders_paths(get_library_path(), folder_name)
common.delete_folder_contents(section_root_dir, delete_subfolders=True)
# Clean the Kodi library database
common.clean_library(show_prg_dialog)
def auto_update_library(self, sync_with_mylist, show_prg_dialog=True, show_nfo_dialog=False, clear_on_cancel=False,
update_profiles=False):
"""
Perform an auto update of the exported items in to Kodi library.
- The main purpose is check if there are new seasons/episodes.
- In the case "Sync Kodi library with My list" feature is enabled, will be also synchronized with My List.
:param sync_with_mylist: if True, sync the Kodi library with Netflix My List
:param show_prg_dialog: if True, will be show a progress dialog window and the errors will be notified to user
:param show_nfo_dialog: if True, ask to user if want export NFO files (override custom NFO actions for videoid)
:param clear_on_cancel: if True, when the user cancel the operations will be cleared the entire library
:param update_profiles: if True, before perform sync_with_mylist will be updated the profiles
"""
if is_auto_update_library_running(show_prg_dialog):
return
LOG.info('Start auto-updating of Kodi library {}', '(with sync of My List)' if sync_with_mylist else '')
G.SHARED_DB.set_value('library_auto_update_is_running', True)
G.SHARED_DB.set_value('library_auto_update_start_time', datetime.now())
try:
# Get the full list of the exported tvshows/movies as id (VideoId.value)
exp_tvshows_videoids_values = G.SHARED_DB.get_tvshows_id_list()
exp_movies_videoids_values = G.SHARED_DB.get_movies_id_list()
# Get the exported tv shows (to be updated) as dict (key=videoid, value=type of task)
videoids_tasks = {
common.VideoId.from_path([common.VideoId.SHOW, videoid_value]): self.export_new_item
for videoid_value in G.SHARED_DB.get_tvshows_id_list(VidLibProp['exclude_update'], False)
}
if sync_with_mylist and update_profiles:
# Before do the sync with My list try to update the profiles in the database,
# to do a sanity check of the features that are linked to the profiles
self.ext_func_req_profiles_info(update_database=True) # pylint: disable=not-callable
sync_with_mylist = G.ADDON.getSettingBool('lib_sync_mylist')
# If enabled sync the Kodi library with Netflix My List
if sync_with_mylist:
self._sync_my_list_ops(videoids_tasks, exp_tvshows_videoids_values, exp_movies_videoids_values)
# Show a warning message when there are more than 100 titles to be updated, making too many metadata
# requests may cause blocking of http communication from the server or temporary ban of the account
if show_prg_dialog:
total_titles_upd = sum(task != self.remove_item for task in videoids_tasks.values())
if total_titles_upd >= 100 and not ui.ask_for_confirmation(
common.get_local_string(30122),
common.get_local_string(30059).format(total_titles_upd)):
return
# Start the update operations
ret = self._update_library(videoids_tasks, exp_tvshows_videoids_values, show_prg_dialog, show_nfo_dialog,
clear_on_cancel)
if not ret:
return
request_kodi_library_update(scan=True, clean=True)
# Save date for completed operation to compute next update schedule (used in library_updater.py)
G.SHARED_DB.set_value('library_auto_update_last_start', datetime.now())
LOG.info('Auto update of the Kodi library completed')
if not G.ADDON.getSettingBool('lib_auto_upd_disable_notification'):
ui.show_notification(common.get_local_string(30220), time=5000)
except Exception as exc: # pylint: disable=broad-except
import traceback
LOG.error('An error has occurred in the library auto update: {}', exc)
LOG.error(G.py2_decode(traceback.format_exc(), 'latin-1'))
finally:
G.SHARED_DB.set_value('library_auto_update_is_running', False)
def _sync_my_list_ops(self, videoids_tasks, exp_tvshows_videoids_values, exp_movies_videoids_values):
# Get videoids from the My list (of the chosen profile)
# pylint: disable=not-callable
mylist_video_id_list, mylist_video_id_list_type = self.ext_func_get_mylist_videoids_profile_switch()
# Check if tv shows have been removed from the My List
for videoid_value in exp_tvshows_videoids_values:
if unicode(videoid_value) in mylist_video_id_list:
continue
# The tv show no more exist in My List so remove it from library
videoid = common.VideoId.from_path([common.VideoId.SHOW, videoid_value])
videoids_tasks.update({videoid: self.remove_item})
# Check if movies have been removed from the My List
for videoid_value in exp_movies_videoids_values:
if unicode(videoid_value) in mylist_video_id_list:
continue
# The movie no more exist in My List so remove it from library
videoid = common.VideoId.from_path([common.VideoId.MOVIE, videoid_value])
videoids_tasks.update({videoid: self.remove_item})
# Add to library the missing tv shows / movies of My List
for index, videoid_value in enumerate(mylist_video_id_list):
if (int(videoid_value) not in exp_tvshows_videoids_values and
int(videoid_value) not in exp_movies_videoids_values):
is_movie = mylist_video_id_list_type[index] == 'movie'
videoid = common.VideoId(**{('movieid' if is_movie else 'tvshowid'): videoid_value})
videoids_tasks.update({videoid: self.export_item if is_movie else self.export_new_item})
def _update_library(self, videoids_tasks, exp_tvshows_videoids_values, show_prg_dialog, show_nfo_dialog,
clear_on_cancel):
# If set ask to user if want to export NFO files (override user custom NFO settings for videoids)
nfo_settings_override = None
if show_nfo_dialog:
nfo_settings_override = nfo.NFOSettings()
nfo_settings_override.show_export_dialog()
# Get the exported tvshows, but to be excluded from the updates
excluded_videoids_values = G.SHARED_DB.get_tvshows_id_list(VidLibProp['exclude_update'], True)
# Start the update operations
with ui.ProgressDialog(show_prg_dialog, max_value=len(videoids_tasks)) as progress_bar:
for videoid, task_handler in iteritems(videoids_tasks):
# Check if current videoid is excluded from updates
if int(videoid.value) in excluded_videoids_values:
continue
# Get the NFO settings for the current videoid
if not nfo_settings_override and int(videoid.value) in exp_tvshows_videoids_values:
# User custom NFO setting
# it is possible that the user has chosen not to export NFO files for a specific tv show
nfo_export = G.SHARED_DB.get_tvshow_property(videoid.value,
VidLibProp['nfo_export'], False)
nfo_settings = nfo.NFOSettings(nfo_export)
else:
nfo_settings = nfo_settings_override or nfo.NFOSettings()
# Execute the task
for index, total_tasks, title in self.execute_library_task(videoid,
task_handler,
nfo_settings=nfo_settings,
notify_errors=show_prg_dialog):
label_partial_op = ' ({}/{})'.format(index + 1, total_tasks) if total_tasks > 1 else ''
progress_bar.set_message(title + label_partial_op)
if progress_bar.is_cancelled():
LOG.warn('Auto update of the Kodi library interrupted by User')
if clear_on_cancel:
self.clear_library(True)
return False
if self.monitor.abortRequested():
LOG.warn('Auto update of the Kodi library interrupted by Kodi')
return False
progress_bar.perform_step()
progress_bar.set_wait_message()
delay_anti_ban()
return True
def import_library(self, path):
"""
Imports an already existing exported STRM library into the add-on library database,
allows you to restore an existing library, by avoiding to recreate it from scratch.
This operations also update the missing tv shows seasons and episodes, and automatically
converts old STRM format type from add-on version 0.13.x or before 1.7.0 to new format.
"""
# If set ask to user if want to export NFO files
nfo_settings = nfo.NFOSettings()
nfo_settings.show_export_dialog()
LOG.info('Start importing Kodi library')
remove_folders = [] # List of failed imports paths to be optionally removed
remove_titles = [] # List of failed imports titles to be optionally removed
# Start importing STRM files
folders = get_library_subfolders(FOLDER_NAME_MOVIES, path) + get_library_subfolders(FOLDER_NAME_SHOWS, path)
with ui.ProgressDialog(True, max_value=len(folders)) as progress_bar:
for folder_path in folders:
folder_name = os.path.basename(G.py2_decode(translatePath(folder_path)))
progress_bar.set_message(folder_name)
try:
videoid = self.import_videoid_from_existing_strm(folder_path, folder_name)
if videoid is None:
# Failed to import, add folder to remove list
remove_folders.append(folder_path)
remove_titles.append(folder_name)
continue
# Successfully imported, Execute the task
for index, total_tasks, title in self.execute_library_task(videoid,
self.export_item,
nfo_settings=nfo_settings,
notify_errors=True):
label_partial_op = ' ({}/{})'.format(index + 1, total_tasks) if total_tasks > 1 else ''
progress_bar.set_message(title + label_partial_op)
if progress_bar.is_cancelled():
LOG.warn('Import library interrupted by User')
return
if self.monitor.abortRequested():
LOG.warn('Import library interrupted by Kodi')
return
except ImportWarning:
# Ignore it, something was wrong in STRM file (see _import_videoid in library_jobs.py)
pass
progress_bar.perform_step()
progress_bar.set_wait_message()
delay_anti_ban()
ret = self._import_library_remove(remove_titles, remove_folders)
request_kodi_library_update(scan=True, clean=ret)
def _import_library_remove(self, remove_titles, remove_folders):
if not remove_folders:
return False
# If there are STRM files that it was not possible to import them,
# we will ask to user if you want to delete them
tot_folders = len(remove_folders)
if tot_folders > 50:
remove_titles = remove_titles[:50] + ['...']
message = common.get_local_string(30246).format(tot_folders) + '[CR][CR]' + ', '.join(remove_titles)
if not ui.ask_for_confirmation(common.get_local_string(30140), message):
return False
# Delete all folders
LOG.info('Start deleting folders')
with ui.ProgressDialog(True, max_value=tot_folders) as progress_bar:
for file_path in remove_folders:
progress_bar.set_message('{}/{}'.format(progress_bar.value, tot_folders))
LOG.debug('Deleting folder: {}', file_path)
common.delete_folder(file_path)
progress_bar.perform_step()
return True
|
const { runCommandSync } = require('./utils');
const commandLineArgs = require('command-line-args');
const ENVIRONMENTS = require('../src/site/constants/environments');
const defaultBuildtype = ENVIRONMENTS.LOCALHOST;
const COMMAND_LINE_OPTIONS_DEFINITIONS = [
{ name: 'buildtype', type: String, defaultValue: defaultBuildtype },
{ name: 'port', type: Number, defaultValue: process.env.PORT || 3002 },
];
const options = commandLineArgs(COMMAND_LINE_OPTIONS_DEFINITIONS);
runCommandSync(
`yarn http-server build/${options.buildtype} -s -c-1 -p ${options.port}`,
);
|
import CCollapse from "./main";
/* istanbul ignore next */
CCollapse.install = function(Vue) {
Vue.component(CCollapse.name, CCollapse);
};
export default CCollapse;
|
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this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group][this.selectorInstance.cursors[o].position.row+1][this.selectorInstance.cursors[o].position.column]!="undefined"){this.selectorInstance.cursors[o].position.row++;n=true}else if(typeof this.selectorInstance.result[o]!="undefined"&&typeof this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group][this.selectorInstance.cursors[o].position.row+1]!="undefined"&&typeof this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group][this.selectorInstance.cursors[o].position.row+1][0]!="undefined"){this.selectorInstance.cursors[o].position.column=0;this.selectorInstance.cursors[o].position.row++;n=true}else if(typeof this.selectorInstance.result[o]!="undefined"&&this.selectorInstance.cursors[o].position.row==this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group].length-1&&typeof this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group+1]!="undefined"&&typeof this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group+1][0]!="undefined"&&typeof this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group+1][0][0]!="undefined"){this.selectorInstance.cursors[o].position.group++;this.selectorInstance.cursors[o].position.row=0;this.selectorInstance.cursors[o].position.column=0;n=true}break;default:}if(n){var r=this.selectorInstance.cursors[o].currentItem;var c=this.selectorInstance.getItemNodeId({entityType:r.entityType,itemId:r.itemCode});if(e(c)){this.selectorInstance.getRenderInstance().unhoverItem({node:e(c)})}r=this.selectorInstance.result[o][this.selectorInstance.cursors[o].position.group][this.selectorInstance.cursors[o].position.row][this.selectorInstance.cursors[o].position.column];this.selectorInstance.cursors[o].currentItem=r;c=this.selectorInstance.getItemNodeId({entityType:r.entityType,itemId:r.itemCode});if(e(c)){var i=0,a=e(c);var u=e.findParent(this.selectorInstance.dialogNodes.contentsContainer,{className:this.selectorInstance.getRenderInstance().class.boxContainer});if(u){var l=e.pos(u),I=e.pos(a);if(I.bottom>l.bottom||I.top<l.top){u.scrollTop+=I.bottom>l.bottom?I.bottom-l.bottom:I.top-l.top}this.selectorInstance.getRenderInstance().hoverItem({node:a})}}}};e.UI.Selector.Navigation.prototype.hoverFirstItem=function(t){var s=t.tab;if(typeof this.selectorInstance.cursors[s]=="undefined"){return}var o=this.selectorInstance.cursors[s].firstItem;if(!o){return}var n=this.selectorInstance.getItemNodeId({entityType:o.entityType,itemId:o.itemCode});if(!e(n)){return}this.selectorInstance.getRenderInstance().hoverItem({node:e(n)})}})();
//# sourceMappingURL=navigation.map.js |
import React from 'react';
export default function Footer({ caption, username }) {
return (
<div className="p-4 pt-2 pb-0">
<span className="mr-1 font-bold">{username}</span>
<span>{caption}</span>
</div>
)
} |
import N8nUsersList from './UsersList.vue';
import { action } from '@storybook/addon-actions';
export default {
title: 'Modules/UsersList',
component: N8nUsersList,
argTypes: {
},
parameters: {
backgrounds: { default: '--color-background-light' },
},
};
const methods = {
onReinvite: action('reinvite'),
onDelete: action('delete'),
};
const Template = (args, { argTypes }) => ({
props: Object.keys(argTypes),
components: {
N8nUsersList,
},
template:
'<n8n-users-list v-bind="$props" @reinvite="onReinvite" @delete="onDelete" />',
methods,
});
export const UsersList = Template.bind({});
UsersList.args = {
users: [
{
id: "1",
firstName: 'Sunny',
lastName: 'Side',
fullName: 'Sunny Side',
email: "[email protected]",
isDefaultUser: false,
isPendingUser: false,
isOwner: true,
globalRole: {
name: 'owner',
id: 1,
},
},
{
id: "2",
firstName: 'Kobi',
lastName: 'Dog',
fullName: 'Kobi Dog',
email: "[email protected]",
isDefaultUser: false,
isPendingUser: false,
isOwner: false,
globalRole: {
name: 'member',
id: "2",
},
},
{
id: "3",
email: "[email protected]",
isDefaultUser: false,
isPendingUser: true,
isOwner: false,
globalRole: {
name: 'member',
id: "2",
},
},
],
currentUserId: "1",
};
|
'use strict';
module.exports = {
up: function (queryInterface, Sequelize) {
return queryInterface.bulkInsert('Stars', [
{
id: 1,
userId: 1,
kommandrId: 7,
createdAt: new Date(),
updatedAt: new Date()
},
{
id: 2,
userId: 1,
kommandrId: 6,
createdAt: new Date(),
updatedAt: new Date()
},
{
id: 3,
userId: 1,
kommandrId: 5,
createdAt: new Date(),
updatedAt: new Date()
},
{
id: 4,
userId: 1,
kommandrId: 4,
createdAt: new Date(),
updatedAt: new Date()
},
]);
},
down: function (queryInterface, Sequelize) {
queryInterface.dropTable('Stars');
}
};
|
const bridge = require('@splinterlands/external-bridge');
const GAME_API_URL = 'https://node.splinterlands.com';
const DEPOSIT_ACCOUNT = 'sl-bsc';
const SUPPORTED_TOKENS = ['DEC', 'SPS'];
start();
async function start() {
bridge.init({
game_api_url: GAME_API_URL,
save_state: (last_block) => { console.log(`Loaded block ${last_block}...`); }, // TODO: Store the last block num processed
load_state: () => null // TODO: Load and return the last block num processed
});
bridge.stream(onGameTx, ['token_transfer']);
}
async function onGameTx(tx) {
const data = JSON.parse(tx.data);
// Check if the tokens were sent to the specified deposit account
if(data.to !== DEPOSIT_ACCOUNT)
return;
// Check if the token transferred is one that is supported by this bridge
if(!SUPPORTED_TOKENS.includes(data.token))
return;
console.log(tx);
} |
"use strict";
var _interopRequireDefault = require("@babel/runtime/helpers/interopRequireDefault");
exports.__esModule = true;
exports.init = init;
exports.shouldUpdateScroll = shouldUpdateScroll;
exports.RouteUpdates = void 0;
var _react = _interopRequireDefault(require("react"));
var _propTypes = _interopRequireDefault(require("prop-types"));
var _loader = _interopRequireDefault(require("./loader"));
var _redirects = _interopRequireDefault(require("./redirects.json"));
var _apiRunnerBrowser = require("./api-runner-browser");
var _emitter = _interopRequireDefault(require("./emitter"));
var _router = require("@reach/router");
var _gatsbyLink = require("gatsby-link");
// Convert to a map for faster lookup in maybeRedirect()
const redirectMap = _redirects.default.reduce((map, redirect) => {
map[redirect.fromPath] = redirect;
return map;
}, {});
function maybeRedirect(pathname) {
const redirect = redirectMap[pathname];
if (redirect != null) {
if (process.env.NODE_ENV !== `production`) {
const pageResources = _loader.default.loadPageSync(pathname);
if (pageResources != null) {
console.error(`The route "${pathname}" matches both a page and a redirect; this is probably not intentional.`);
}
}
window.___replace(redirect.toPath);
return true;
} else {
return false;
}
}
const onPreRouteUpdate = (location, prevLocation) => {
if (!maybeRedirect(location.pathname)) {
(0, _apiRunnerBrowser.apiRunner)(`onPreRouteUpdate`, {
location,
prevLocation
});
}
};
const onRouteUpdate = (location, prevLocation) => {
if (!maybeRedirect(location.pathname)) {
(0, _apiRunnerBrowser.apiRunner)(`onRouteUpdate`, {
location,
prevLocation
}); // Temp hack while awaiting https://github.com/reach/router/issues/119
window.__navigatingToLink = false;
}
};
const navigate = (to, options = {}) => {
// Temp hack while awaiting https://github.com/reach/router/issues/119
if (!options.replace) {
window.__navigatingToLink = true;
}
let {
pathname
} = (0, _gatsbyLink.parsePath)(to);
const redirect = redirectMap[pathname]; // If we're redirecting, just replace the passed in pathname
// to the one we want to redirect to.
if (redirect) {
to = redirect.toPath;
pathname = (0, _gatsbyLink.parsePath)(to).pathname;
} // If we had a service worker update, no matter the path, reload window and
// reset the pathname whitelist
if (window.___swUpdated) {
window.location = pathname;
return;
} // Start a timer to wait for a second before transitioning and showing a
// loader in case resources aren't around yet.
const timeoutId = setTimeout(() => {
_emitter.default.emit(`onDelayedLoadPageResources`, {
pathname
});
(0, _apiRunnerBrowser.apiRunner)(`onRouteUpdateDelayed`, {
location: window.location
});
}, 1000);
_loader.default.loadPage(pathname).then(pageResources => {
// If no page resources, then refresh the page
// Do this, rather than simply `window.location.reload()`, so that
// pressing the back/forward buttons work - otherwise when pressing
// back, the browser will just change the URL and expect JS to handle
// the change, which won't always work since it might not be a Gatsby
// page.
if (!pageResources || pageResources.status === `error`) {
window.history.replaceState({}, ``, location.href);
window.location = pathname;
} // If the loaded page has a different compilation hash to the
// window, then a rebuild has occurred on the server. Reload.
if (process.env.NODE_ENV === `production` && pageResources) {
if (pageResources.page.webpackCompilationHash !== window.___webpackCompilationHash) {
// Purge plugin-offline cache
if (`serviceWorker` in navigator && navigator.serviceWorker.controller !== null && navigator.serviceWorker.controller.state === `activated`) {
navigator.serviceWorker.controller.postMessage({
gatsbyApi: `resetWhitelist`
});
}
console.log(`Site has changed on server. Reloading browser`);
window.location = pathname;
}
}
(0, _router.navigate)(to, options);
clearTimeout(timeoutId);
});
};
function shouldUpdateScroll(prevRouterProps, {
location
}) {
const {
pathname,
hash
} = location;
const results = (0, _apiRunnerBrowser.apiRunner)(`shouldUpdateScroll`, {
prevRouterProps,
// `pathname` for backwards compatibility
pathname,
routerProps: {
location
},
getSavedScrollPosition: args => this._stateStorage.read(args)
});
if (results.length > 0) {
return results[0];
}
if (prevRouterProps) {
const {
location: {
pathname: oldPathname
}
} = prevRouterProps;
if (oldPathname === pathname) {
// Scroll to element if it exists, if it doesn't, or no hash is provided,
// scroll to top.
return hash ? hash.slice(1) : [0, 0];
}
}
return true;
}
function init() {
// Temp hack while awaiting https://github.com/reach/router/issues/119
window.__navigatingToLink = false;
window.___loader = _loader.default;
window.___push = to => navigate(to, {
replace: false
});
window.___replace = to => navigate(to, {
replace: true
});
window.___navigate = (to, options) => navigate(to, options); // Check for initial page-load redirect
maybeRedirect(window.location.pathname);
} // Fire on(Pre)RouteUpdate APIs
class RouteUpdates extends _react.default.Component {
constructor(props) {
super(props);
onPreRouteUpdate(props.location, null);
}
componentDidMount() {
onRouteUpdate(this.props.location, null);
}
componentDidUpdate(prevProps, prevState, shouldFireRouteUpdate) {
if (shouldFireRouteUpdate) {
onRouteUpdate(this.props.location, prevProps.location);
}
}
getSnapshotBeforeUpdate(prevProps) {
if (this.props.location.pathname !== prevProps.location.pathname) {
onPreRouteUpdate(this.props.location, prevProps.location);
return true;
}
return false;
}
render() {
return this.props.children;
}
}
exports.RouteUpdates = RouteUpdates;
RouteUpdates.propTypes = {
location: _propTypes.default.object.isRequired
}; |
module.exports = {
// InstagramBot.js Configs
"debug": true,
"login": true,
"ui": false, // only for social-manager-tools
// Instagram Account
"instagram_username": "khabib.and.tony.ferguson", // without @
"instagram_password": "Ferguson90",
"instagram_hashtag": ["ufc", "mma", "fighter"], // without #, recommended more than 20
"instagram_pin": "sms", // method to receive pin (email or sms)
// BOT Configs
// [WORK] likemode_classic - select random hashtag from config list and like 1 random photo (of last 20) | 400-600 like/day.
// [WORK] likemode_realistic - select random hashtag from config list, like fast 10-12 photo and sleep 15-20min. Sleep at night
// [WORK] likemode_superlike - select random hashtag from config list and like 3 random photo of same user | 400-600 like/day.
// [WORK] likemode_competitor_users - select account, select random followers, like 10-12 photo and sleep 15-20min.
// [WORK] comment_mode - leave a comment under the photo via hashtag.
// [WORK] fdfmode_classic - follow 30 users, and defollow the first followed at 31 follow (in loop). This method is not detected from socialblade. ~1h | 300/300 follow-defollow/day.
"bot_mode": "likemode_realistic",
"bot_likeday_min": 700, // work in all likemode_*
"bot_likeday_max": 800, // work in all likemode_*. In 2018 limit instagram is 1000/day
"bot_sleep_night": false, // if you need stop bot in night
"bot_start_sleep": "7:00", // sleep from 00:00 to 7:00 am, work in likemode_realistic, comment_mode, likemode_superlike and likemode_competitor_users
"bot_superlike_n": 3, // superlike number of likes for user
"bot_followday": 300, // number of follow-defollow user/day, work in fdfmode_classic. In 2018 limit instagram is 500/day
"bot_followrotate": 30, // follow 30 users, and defollow the first followed at 31 follow (in loop), work in fdfmode_classic | If is 0 defollow all followed previously by bot
"bot_userwhitelist": ["user1", "user2", "user3"], // usernames without @ | don't defollow this users on follow-defollow mode, work in fdfmode_classic
"comment_mode": {
"comments": {
"type": "array",
"source": ["comment1", "comment2", "comment3"],
}
},
"likemode_competitor_users": {
"account": "user_nickname" // without @
},
// Puppeteer Configs
"chrome_headless": true,
"chrome_options": ["--disable-gpu", "--no-sandbox", "--window-size=1024x768"],
"executable_path": "/usr/bin/chromium-browser", // example for Mac OS: /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome
// DATABASES
"fdfdatabase_path": "./databases/fdf.db", // databases with username of followed users with follodefollow mode
"logdb_path": "./databases/logs.db", // logs in sqllite database for better report
// LOG
"pin_path": "./loginpin.txt",
"log_path": "./logs/debug.log",
"logerr_path": "./logs/errors.log",
"screenshot_path": "./logs/screenshot/",
"log": {
"drivers": ["console"], // slack or console
"screenshot": false, // disable or enable screenshot in logs folder
"channels": {
"console": "",
"slack": {
"webhook": ""
}
}
}
}; |
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: BaBLE
import flatbuffers
class Service(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsService(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Service()
x.Init(buf, n + offset)
return x
# Service
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Service
def Handle(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint16Flags, o + self._tab.Pos)
return 0
# Service
def GroupEndHandle(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint16Flags, o + self._tab.Pos)
return 0
# Service
def Uuid(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
def ServiceStart(builder): builder.StartObject(3)
def ServiceAddHandle(builder, handle): builder.PrependUint16Slot(0, handle, 0)
def ServiceAddGroupEndHandle(builder, groupEndHandle): builder.PrependUint16Slot(1, groupEndHandle, 0)
def ServiceAddUuid(builder, uuid): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(uuid), 0)
def ServiceEnd(builder): return builder.EndObject()
|
define('crm/Integrations/BOE/Views/QuoteLines/Detail', ['module', 'exports', 'dojo/_base/declare', 'dojo/_base/lang', 'dojo/_base/connect', 'crm/Format', 'argos/Detail', '../../Models/Names', 'argos/I18n', '../../Utility', '../../PricingAvailabilityService'], function (module, exports, _declare, _lang, _connect, _Format, _Detail, _Names, _I18n, _Utility, _PricingAvailabilityService) {
Object.defineProperty(exports, "__esModule", {
value: true
});
var _declare2 = _interopRequireDefault(_declare);
var _lang2 = _interopRequireDefault(_lang);
var _connect2 = _interopRequireDefault(_connect);
var _Format2 = _interopRequireDefault(_Format);
var _Detail2 = _interopRequireDefault(_Detail);
var _Names2 = _interopRequireDefault(_Names);
var _I18n2 = _interopRequireDefault(_I18n);
var _Utility2 = _interopRequireDefault(_Utility);
var _PricingAvailabilityService2 = _interopRequireDefault(_PricingAvailabilityService);
function _interopRequireDefault(obj) {
return obj && obj.__esModule ? obj : {
default: obj
};
}
var _slicedToArray = function () {
function sliceIterator(arr, i) {
var _arr = [];
var _n = true;
var _d = false;
var _e = undefined;
try {
for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) {
_arr.push(_s.value);
if (i && _arr.length === i) break;
}
} catch (err) {
_d = true;
_e = err;
} finally {
try {
if (!_n && _i["return"]) _i["return"]();
} finally {
if (_d) throw _e;
}
}
return _arr;
}
return function (arr, i) {
if (Array.isArray(arr)) {
return arr;
} else if (Symbol.iterator in Object(arr)) {
return sliceIterator(arr, i);
} else {
throw new TypeError("Invalid attempt to destructure non-iterable instance");
}
};
}();
var resource = (0, _I18n2.default)('quoteItemsDetail');
var __class = (0, _declare2.default)('crm.Integrations.BOE.Views.QuoteLines.Detail', [_Detail2.default], /** @lends crm.Integrations.BOE.Views.QuoteLines.Detail# */{
// Localization
titleText: resource.titleText,
lineText: resource.lineText,
quantityText: resource.quantityText,
priceText: resource.priceText,
extendedAmountText: resource.extendedAmountText,
productNameText: resource.productNameText,
descriptionText: resource.descriptionText,
quoteIDText: resource.quoteIDText,
skuText: resource.skuText,
baseExtendedAmountText: resource.baseExtendedAmountText,
baseAdjustedPriceText: resource.baseAdjustedPriceText,
discountText: resource.discountText,
adjustedPriceText: resource.adjustedPriceText,
statusText: resource.statusText,
openQuantityText: resource.openQuantityText,
dropShipText: resource.dropShipText,
fixedPriceText: resource.fixedPriceText,
rushRequestText: resource.rushRequestText,
warehouseText: resource.warehouseText,
detailsText: resource.detailsText,
relatedItemsText: resource.relatedItemsText,
entityText: resource.entityText,
confirmDeleteText: resource.confirmDeleteText,
unitOfMeasureText: resource.unitOfMeasureText,
locationText: resource.locationText,
totalAmountText: resource.totalAmountText,
availableQuantityText: resource.availableQuantityText,
checkWarehouseAvailabilityText: resource.checkWarehouseAvailabilityText,
// View Properties
id: 'quote_line_detail',
editView: 'quote_line_edit',
resourceKind: 'quoteItems',
modelName: _Names2.default.QUOTEITEM,
entityName: 'QuoteItem',
enableOffline: true,
createEntryForDelete: function createEntryForDelete(e) {
var entry = {
$key: e.$key,
$etag: e.$etag,
$name: e.$name
};
return entry;
},
processEntry: function processEntry() {
this.inherited(processEntry, arguments);
if (this.options && this.options.fromContext && this.options.fromContext.readOnly) {
if (App.bars && App.bars.tbar) {
App.bars.tbar.disableTool('removeQuoteLine');
App.bars.tbar.disableTool('edit');
}
}
},
removeQuoteLine: function removeQuoteLine() {
var _this = this;
// TODO: [INFORCRM-7712] Implement this in the model (model needs remove call)
App.modal.createSimpleDialog({
title: 'alert',
content: this.confirmDeleteText,
getContent: function getContent() {}
}).then(function () {
var entry = _this.createEntryForDelete(_this.entry);
var request = _this.store._createEntryRequest(_this.entry.$key, {});
if (request) {
request.delete(entry, {
success: _this.onDeleteSuccess,
failure: _this.onRequestDataFailure,
scope: _this
});
}
});
},
onAvailability: function onAvailability() {
var _this2 = this;
_PricingAvailabilityService2.default.getQuoteItemAvailability(this.entry).then(function (result) {
var _result = _slicedToArray(result, 1),
warehouse = _result[0];
var ErrorCode = warehouse.ErrorCode,
AvailableQuantity = warehouse.AvailableQuantity;
if (ErrorCode) {
App.modal.createSimpleAlert({ title: ErrorCode });
} else if (AvailableQuantity) {
App.modal.createSimpleAlert({ title: _this2.availableQuantityText + AvailableQuantity });
}
});
},
onDeleteSuccess: function onDeleteSuccess() {
var views = [App.getView('quote_lines_related'), App.getView('quote_detail'), App.getView('quote_list')];
views.forEach(function (view) {
if (view) {
view.refreshRequired = true;
}
}, this);
_connect2.default.publish('/app/refresh', [{
resourceKind: this.resourceKind
}]);
ReUI.back();
},
refreshRequiredFor: function refreshRequiredFor(options) {
if (this.options) {
return !!options; // if options provided, then refresh
}
return true;
},
createToolLayout: function createToolLayout() {
if (this.tools) {
return this.tools;
}
var tools = this.inherited(createToolLayout, arguments);
if (tools && tools.tbar) {
tools.tbar.push({
id: 'removeQuoteLine',
svg: 'close',
action: 'removeQuoteLine',
title: this.removeQuoteLineText,
security: 'Entities/Quote/Delete'
});
}
return tools;
},
createLayout: function createLayout() {
var _this3 = this;
var _App$getBaseExchangeR = App.getBaseExchangeRate(),
baseCurrencyCode = _App$getBaseExchangeR.code;
return this.layout || (this.layout = [{
title: this.actionsText,
list: true,
cls: 'action-list',
name: 'QuickActionsSection',
children: [{
name: 'CheckAvailability',
property: 'SlxLocation.Name',
label: this.checkWarehouseAvailabilityText,
iconClass: 'redo', // check for a better icon
action: 'onAvailability',
disabled: function disabled() {
return App.warehouseDiscovery === 'auto';
},
security: 'Entities/SalesOrder/Add'
}]
}, {
title: this.detailsText,
name: 'DetailsSection',
children: [{
name: 'LineNumber',
property: 'ErpLineNumber',
label: this.lineText
}, {
name: 'QuoteNumber',
property: 'Quote.QuoteNumber',
label: this.quoteIDText,
view: 'quote_detail',
key: 'Quote.$key'
}, {
name: 'ProductName',
property: 'ProductName',
label: this.productNameText
}, {
name: 'Description',
property: 'Description',
label: this.descriptionText
}, {
name: 'ActualId',
property: 'ActualId',
label: this.skuText
}, {
name: 'Price',
property: 'Price',
label: this.priceText,
renderer: function renderer(value) {
var code = _this3.entry.Quote.BaseCurrencyCode || baseCurrencyCode;
return _Utility2.default.formatMultiCurrency(value, code);
}
}, {
name: 'Discount',
property: 'Discount',
label: this.discountText,
renderer: function renderer(value) {
var code = _this3.entry.Quote.BaseCurrencyCode || baseCurrencyCode;
return _Utility2.default.formatMultiCurrency(value, code);
}
}, {
name: 'CalculatedPrice',
property: 'CalculatedPrice',
label: this.baseAdjustedPriceText,
renderer: function renderer(value) {
var code = _this3.entry.Quote.BaseCurrencyCode || baseCurrencyCode;
return _Utility2.default.formatMultiCurrency(value, code);
}
}, {
name: 'DocCalculatedPrice',
property: 'DocCalculatedPrice',
label: this.adjustedPriceText,
renderer: function renderer(value) {
return _Utility2.default.formatMultiCurrency(value, _this3.entry.Quote.CurrencyCode);
}
}, {
name: 'Quantity',
property: 'Quantity',
label: this.quantityText,
renderer: function renderer(val) {
return _Format2.default.fixedLocale(val, 2);
}
}, {
name: 'UnitOfMeasure',
property: 'UnitOfMeasure',
label: this.unitOfMeasureText,
renderer: function renderer(val) {
if (val && val.Name) {
return val.Name;
}
return null;
}
}, {
label: this.baseExtendedAmountText,
name: 'ExtendedPrice',
property: 'ExtendedPrice',
renderer: function renderer(value) {
var code = _this3.entry.Quote.BaseCurrencyCode || baseCurrencyCode;
return _Utility2.default.formatMultiCurrency(value, code);
}
}, {
name: 'DocExtendedPrice',
property: 'DocExtendedPrice',
label: this.extendedAmountText,
renderer: function renderer(value) {
return _Utility2.default.formatMultiCurrency(value, _this3.entry.Quote.CurrencyCode);
}
}, {
name: 'DocTotalAmount',
property: 'DocTotalAmount',
label: this.totalAmountText,
renderer: function renderer(value) {
return _Utility2.default.formatMultiCurrency(value, _this3.entry.Quote.CurrencyCode);
}
}, {
name: 'Status',
property: 'Status',
label: this.statusText
}, {
name: 'SlxLocation',
property: 'SlxLocation.Description',
label: this.warehouseText
}, {
name: 'OpenQuantity',
property: 'OpenQuantity',
label: this.openQuantityText,
renderer: function renderer(val) {
return _Format2.default.fixedLocale(val, 2);
}
}, {
name: 'DropShip',
property: 'DropShip',
label: this.dropShipText,
renderer: function renderer(data) {
return _Format2.default.yesNo(data);
}
}, {
name: 'FixedPrice',
property: 'FixedPrice',
label: this.fixedPriceText,
renderer: function renderer(value) {
return _Utility2.default.formatMultiCurrency(value, _this3.entry.Quote.CurrencyCode);
}
}, {
name: 'RushRequest',
property: 'RushRequest',
label: this.rushRequestText,
renderer: function renderer(data) {
return _Format2.default.yesNo(data);
}
}]
}, {
title: this.relatedItemsText,
list: true,
name: 'RelatedItemsSection',
children: []
}]);
}
});
_lang2.default.setObject('icboe.Views.QuoteLines.Detail', __class);
exports.default = __class;
module.exports = exports['default'];
}); |
# -*- coding: utf-8 -*-
# This file is part of beets.
# Copyright 2016, Bruno Cauet
#
# 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,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
from __future__ import division, absolute_import, print_function
import os.path
from mock import Mock, patch, call
from tempfile import mkdtemp
from shutil import rmtree
import unittest
from test.helper import TestHelper
from beets.util import bytestring_path
from beetsplug.thumbnails import (ThumbnailsPlugin, NORMAL_DIR, LARGE_DIR,
write_metadata_im, write_metadata_pil,
PathlibURI, GioURI)
class ThumbnailsTest(unittest.TestCase, TestHelper):
def setUp(self):
self.setup_beets()
def tearDown(self):
self.teardown_beets()
@patch('beetsplug.thumbnails.util')
def test_write_metadata_im(self, mock_util):
metadata = {"a": u"A", "b": u"B"}
write_metadata_im("foo", metadata)
try:
command = u"convert foo -set a A -set b B foo".split(' ')
mock_util.command_output.assert_called_once_with(command)
except AssertionError:
command = u"convert foo -set b B -set a A foo".split(' ')
mock_util.command_output.assert_called_once_with(command)
@patch('beetsplug.thumbnails.ThumbnailsPlugin._check_local_ok')
@patch('beetsplug.thumbnails.os.stat')
def test_add_tags(self, mock_stat, _):
plugin = ThumbnailsPlugin()
plugin.write_metadata = Mock()
plugin.get_uri = Mock(side_effect={b"/path/to/cover":
"COVER_URI"}.__getitem__)
album = Mock(artpath=b"/path/to/cover")
mock_stat.return_value.st_mtime = 12345
plugin.add_tags(album, b"/path/to/thumbnail")
metadata = {"Thumb::URI": "COVER_URI",
"Thumb::MTime": u"12345"}
plugin.write_metadata.assert_called_once_with(b"/path/to/thumbnail",
metadata)
mock_stat.assert_called_once_with(album.artpath)
@patch('beetsplug.thumbnails.os')
@patch('beetsplug.thumbnails.ArtResizer')
@patch('beetsplug.thumbnails.get_im_version')
@patch('beetsplug.thumbnails.get_pil_version')
@patch('beetsplug.thumbnails.GioURI')
def test_check_local_ok(self, mock_giouri, mock_pil, mock_im,
mock_artresizer, mock_os):
# test local resizing capability
mock_artresizer.shared.local = False
plugin = ThumbnailsPlugin()
self.assertFalse(plugin._check_local_ok())
# test dirs creation
mock_artresizer.shared.local = True
def exists(path):
if path == NORMAL_DIR:
return False
if path == LARGE_DIR:
return True
raise ValueError(u"unexpected path {0!r}".format(path))
mock_os.path.exists = exists
plugin = ThumbnailsPlugin()
mock_os.makedirs.assert_called_once_with(NORMAL_DIR)
self.assertTrue(plugin._check_local_ok())
# test metadata writer function
mock_os.path.exists = lambda _: True
mock_pil.return_value = False
mock_im.return_value = False
with self.assertRaises(AssertionError):
ThumbnailsPlugin()
mock_pil.return_value = True
self.assertEqual(ThumbnailsPlugin().write_metadata, write_metadata_pil)
mock_im.return_value = True
self.assertEqual(ThumbnailsPlugin().write_metadata, write_metadata_im)
mock_pil.return_value = False
self.assertEqual(ThumbnailsPlugin().write_metadata, write_metadata_im)
self.assertTrue(ThumbnailsPlugin()._check_local_ok())
# test URI getter function
giouri_inst = mock_giouri.return_value
giouri_inst.available = True
self.assertEqual(ThumbnailsPlugin().get_uri, giouri_inst.uri)
giouri_inst.available = False
self.assertEqual(ThumbnailsPlugin().get_uri.__self__.__class__,
PathlibURI)
@patch('beetsplug.thumbnails.ThumbnailsPlugin._check_local_ok')
@patch('beetsplug.thumbnails.ArtResizer')
@patch('beetsplug.thumbnails.util')
@patch('beetsplug.thumbnails.os')
@patch('beetsplug.thumbnails.shutil')
def test_make_cover_thumbnail(self, mock_shutils, mock_os, mock_util,
mock_artresizer, _):
thumbnail_dir = os.path.normpath(b"/thumbnail/dir")
md5_file = os.path.join(thumbnail_dir, b"md5")
path_to_art = os.path.normpath(b"/path/to/art")
mock_os.path.join = os.path.join # don't mock that function
plugin = ThumbnailsPlugin()
plugin.add_tags = Mock()
album = Mock(artpath=path_to_art)
mock_util.syspath.side_effect = lambda x: x
plugin.thumbnail_file_name = Mock(return_value=b'md5')
mock_os.path.exists.return_value = False
def os_stat(target):
if target == md5_file:
return Mock(st_mtime=1)
elif target == path_to_art:
return Mock(st_mtime=2)
else:
raise ValueError(u"invalid target {0}".format(target))
mock_os.stat.side_effect = os_stat
plugin.make_cover_thumbnail(album, 12345, thumbnail_dir)
mock_os.path.exists.assert_called_once_with(md5_file)
mock_os.stat.has_calls([call(md5_file), call(path_to_art)],
any_order=True)
resize = mock_artresizer.shared.resize
resize.assert_called_once_with(12345, path_to_art, md5_file)
plugin.add_tags.assert_called_once_with(album, resize.return_value)
mock_shutils.move.assert_called_once_with(resize.return_value,
md5_file)
# now test with recent thumbnail & with force
mock_os.path.exists.return_value = True
plugin.force = False
resize.reset_mock()
def os_stat(target):
if target == md5_file:
return Mock(st_mtime=3)
elif target == path_to_art:
return Mock(st_mtime=2)
else:
raise ValueError(u"invalid target {0}".format(target))
mock_os.stat.side_effect = os_stat
plugin.make_cover_thumbnail(album, 12345, thumbnail_dir)
self.assertEqual(resize.call_count, 0)
# and with force
plugin.config['force'] = True
plugin.make_cover_thumbnail(album, 12345, thumbnail_dir)
resize.assert_called_once_with(12345, path_to_art, md5_file)
@patch('beetsplug.thumbnails.ThumbnailsPlugin._check_local_ok')
def test_make_dolphin_cover_thumbnail(self, _):
plugin = ThumbnailsPlugin()
tmp = bytestring_path(mkdtemp())
album = Mock(path=tmp,
artpath=os.path.join(tmp, b"cover.jpg"))
plugin.make_dolphin_cover_thumbnail(album)
with open(os.path.join(tmp, b".directory"), "rb") as f:
self.assertEqual(
f.read().splitlines(),
[b"[Desktop Entry]", b"Icon=./cover.jpg"]
)
# not rewritten when it already exists (yup that's a big limitation)
album.artpath = b"/my/awesome/art.tiff"
plugin.make_dolphin_cover_thumbnail(album)
with open(os.path.join(tmp, b".directory"), "rb") as f:
self.assertEqual(
f.read().splitlines(),
[b"[Desktop Entry]", b"Icon=./cover.jpg"]
)
rmtree(tmp)
@patch('beetsplug.thumbnails.ThumbnailsPlugin._check_local_ok')
@patch('beetsplug.thumbnails.ArtResizer')
def test_process_album(self, mock_artresizer, _):
get_size = mock_artresizer.shared.get_size
plugin = ThumbnailsPlugin()
make_cover = plugin.make_cover_thumbnail = Mock(return_value=True)
make_dolphin = plugin.make_dolphin_cover_thumbnail = Mock()
# no art
album = Mock(artpath=None)
plugin.process_album(album)
self.assertEqual(get_size.call_count, 0)
self.assertEqual(make_dolphin.call_count, 0)
# cannot get art size
album.artpath = b"/path/to/art"
get_size.return_value = None
plugin.process_album(album)
get_size.assert_called_once_with(b"/path/to/art")
self.assertEqual(make_cover.call_count, 0)
# dolphin tests
plugin.config['dolphin'] = False
plugin.process_album(album)
self.assertEqual(make_dolphin.call_count, 0)
plugin.config['dolphin'] = True
plugin.process_album(album)
make_dolphin.assert_called_once_with(album)
# small art
get_size.return_value = 200, 200
plugin.process_album(album)
make_cover.assert_called_once_with(album, 128, NORMAL_DIR)
# big art
make_cover.reset_mock()
get_size.return_value = 500, 500
plugin.process_album(album)
make_cover.has_calls([call(album, 128, NORMAL_DIR),
call(album, 256, LARGE_DIR)], any_order=True)
@patch('beetsplug.thumbnails.ThumbnailsPlugin._check_local_ok')
@patch('beetsplug.thumbnails.decargs')
def test_invokations(self, mock_decargs, _):
plugin = ThumbnailsPlugin()
plugin.process_album = Mock()
album = Mock()
plugin.process_album.reset_mock()
lib = Mock()
album2 = Mock()
lib.albums.return_value = [album, album2]
plugin.process_query(lib, Mock(), None)
lib.albums.assert_called_once_with(mock_decargs.return_value)
plugin.process_album.has_calls([call(album), call(album2)],
any_order=True)
@patch('beetsplug.thumbnails.BaseDirectory')
def test_thumbnail_file_name(self, mock_basedir):
plug = ThumbnailsPlugin()
plug.get_uri = Mock(return_value=u"file:///my/uri")
self.assertEqual(plug.thumbnail_file_name(b'idontcare'),
b"9488f5797fbe12ffb316d607dfd93d04.png")
def test_uri(self):
gio = GioURI()
if not gio.available:
self.skipTest(u"GIO library not found")
self.assertEqual(gio.uri(u"/foo"), b"file:///") # silent fail
self.assertEqual(gio.uri(b"/foo"), b"file:///foo")
self.assertEqual(gio.uri(b"/foo!"), b"file:///foo!")
self.assertEqual(
gio.uri(b'/music/\xec\x8b\xb8\xec\x9d\xb4'),
b'file:///music/%EC%8B%B8%EC%9D%B4')
def suite():
return unittest.TestLoader().loadTestsFromName(__name__)
if __name__ == '__main__':
unittest.main(defaultTest='suite')
|
import React, { Component } from "react";
import axios from "axios";
export default class PortfolioDetail extends Component {
constructor(props) {
super(props);
this.state = {
portfolioItem: {}
};
}
componentWillMount() {
this.getPortfolioItem();
}
getPortfolioItem() {
axios
.get(
`https://brandonanderson12.devcamp.space/portfolio/portfolio_items/${
this.props.match.params.slug
}`,
{ withCredentials: true }
)
.then(response => {
this.setState({
portfolioItem: response.data.portfolio_item
});
})
.catch(error => {
console.log("getportfolioitem error", error);
});
}
render() {
const {
banner_image_url,
category,
description,
logo_url,
name,
thumb_image_url,
url
} = this.state.portfolioItem;
const bannerStyles = {
backgroundImage: "url(" + banner_image_url + ")",
backgroundSize: "cover",
backgroundRepeat: "no-repeat",
backgroundPosition: "center center"
};
const logoStyles = {
width: "200px"
};
return (
<div className="portfolio-detail-wrapper">
<div className="banner" style={bannerStyles}>
<img src={logo_url} style={logoStyles} />
</div>
<div className="portfolio-detail-description-wrapper">
<div className="description">{description}</div>
</div>
<div className="bottom-content-wrapper">
<a href={url} className="site-link" target="_blank">
Visit {name}
</a>
</div>
</div>
);
}
} |
/* eslint-disable */
import "bootstrap";
import "./style.css";
import "./assets/img/rigo-baby.jpg";
import "./assets/img/4geeks.ico";
import { eventListeners } from "@popperjs/core";
window.onload = function() {
//write your code here
document.querySelector("#btn").addEventListener("click", () => {
document.querySelector("#the-excuse").innerHTML = generateExcuse();
});
console.log("Hello Rigo from the console!");
};
let generateExcuse = () => {
let pronoun = ["A", "The"];
let subject = ["car", "baobab", "doctor", "clown", "wolf", "cyclist"];
let action = [
"drove my",
"is growing on my",
"screamed at",
"bit my",
"threw my",
"stole my"
];
let possession = [
"desk",
"foot",
"surf board",
"guitar",
"little finger",
"left shoe"
];
let where = [
"on the street",
"in my house",
"in the parking lot",
"in my garden",
"at the beach",
"in Cape Town"
];
let pronounIndex = Math.floor(Math.random() * pronoun.length);
let subjectIndex = Math.floor(Math.random() * subject.length);
let actionIndex = Math.floor(Math.random() * action.length);
let possessionIndex = Math.floor(Math.random() * possession.length);
let whereIndex = Math.floor(Math.random() * where.length);
return `${pronoun[pronounIndex]} ${subject[subjectIndex]} ${action[actionIndex]} ${possession[possessionIndex]} ${where[whereIndex]}!`;
};
|
#!/usr/bin/env node
"use strict";
let Promise = require("bluebird");
let fs = Promise.promisifyAll(require("fs.extra"));
let shortid = require("shortid");
let cli = require("commander");
let machines = null;
try {
machines = require(__dirname + "/machines.json");
}
catch (e) {
machines = {};
}
/**
* Write the machines file.
*/
function write() {
fs.writeFileSync(__dirname + "/machines.json", JSON.stringify(machines, null, 2));
}
cli
.command("clonevm <machine>")
.description("Clone a virtual machine.")
.option("--name <name>", "The new name to assign the virtual machine")
.option("--mode <mode>", "Ignored.")
.option("--register", "Ignored.")
.option("--snapshot", "Ignored.")
.action(function(machine, opts) {
machines[opts.name] = {
mac: shortid()
};
write();
});
cli
.command("showvminfo <machine>")
.description("Return machine information, including MAC address.")
.option("--machinereadable", "Ignored.")
.action(function(machine, opts) {
console.log('other_value=1.0');
console.log('macaddress1="'+machines[machine].mac+'"');
console.log('another_value="Testing, ignore this"');
});
cli
.command("startvm <machine>")
.description("Start a virtual machine running in the background.")
.option("--type <type>", "Ignored.")
.action(function(machine, opts) {
let stdout = fs.openSync(__dirname + "/" + machine + "-out.log", "a");
let stderr = fs.openSync(__dirname + "/" + machine + "-out.log", "a");
let vm = require("child_process").spawn(__dirname+"/vm.js", [machine, machines[machine].mac], {
detached: true,
stdio: ["ignore", stdout, stderr]
});
vm.unref();
});
cli
.command("controlvm <machine> <command>")
.description("Control a running VM. (empty stub)")
.action(function() {});
cli
.command("unregistervm <machine>")
.description("Delete a VM.")
.option("--delete", "Ignored.")
.action(function(machine, opts) {
delete machines[machine];
write();
fs.rmrfAsync(__dirname + "/" + machine + "-out.log");
});
cli.parse(process.argv);
|
from Bio import AlignIO
import sys
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file) as handle:
records = AlignIO.parse(handle, "fasta")
with open(output_file, "w") as output_handle:
AlignIO.write(records, output_handle, "phylip")
|
export const { format: formatPrice } = new Intl.NumberFormat('pt-BR', {
style: 'currency',
currency: 'CVE',
});
|
"use strict";class PageFilterCultsBoons extends PageFilter{constructor(){super();this._sourceFilter=new SourceFilter;this._typeFilter=new Filter({header:"Type",items:["Boon, Demonic","Cult"]})}static mutateForFilters(it){it._fType=it.__prop==="cult"?"Cult":it.type?`Boon, ${it.type}`:"Boon"}addToFilters(it,isExcluded){if(isExcluded)return;this._sourceFilter.addItem(it.source);this._typeFilter.addItem(it._fType)}async _pPopulateBoxOptions(opts){opts.filters=[this._sourceFilter,this._typeFilter]}toDisplay(values,cb){return this._filterBox.toDisplay(values,cb.source,cb._fType)}} |
from django.contrib import admin
from .models import Post
class PostAdmin(admin.ModelAdmin):
list_display = ('title', 'slug', 'status', 'created_on')
list_filter = ("status")
search_fields = ['title', 'content']
prepopulated_fields = {'slug' : } |
import React, { Component } from 'react';
import { Link } from 'react-router-dom';
import ReactTable from 'react-table-6';
import { DeleteButton } from '../components/buttons';
import api from '../api';
import styled from 'styled-components';
import 'react-table-6/react-table.css';
const Wrapper = styled.div`
padding: 0 40px 40px 40px;
`;
class ItemsList extends Component {
constructor(props) {
super(props);
this.state = {
items: {},
};
}
componentDidMount() {
console.log('ItemsList: props');
console.log(this.props);
// if (((this.props.itemData || {}).items || []).length) return;
this.fetchAllItems();
}
fetchAllItems = () => {
api
.getAllItems()
.then(resp => {
debugger;
const { items } = resp.data;
console.log('getAllItems: resp');
console.log(items);
this.setState({ items });
})
.catch(err => {
console.error(`ERROR in 'getAllItems': ${err}`);
console.error(err);
return err;
});
};
deleteSingleItem = itemId => {
return api
.deleteItemById(itemId)
.then(resp => {
console.log('deleteItemById: resp');
console.log(resp);
return resp;
})
.catch(err => {
console.error(`ERROR in 'deleteSingleItem': ${err}`);
console.error(err);
return err;
});
};
handleRemoveItem = data => {
const itemId = data;
this.deleteSingleItem(itemId).then(resp => {
console.log('handleRemoveItem: resp');
console.log(resp);
this.fetchAllItems();
});
};
render() {
const items = this.state.items || {};
console.log(items);
const columns = [
{
Header: 'ID',
accessor: '_id',
filterable: true,
Cell: props => {
return <span data-item-id={props.original._id}>{props.original._id}</span>;
},
},
{
Header: 'Name',
accessor: 'name',
filterable: true,
Cell: props => {
return <span data-name={props.original.name}>{props.value}</span>;
},
},
{
Header: 'Gender',
accessor: 'gender',
filterable: true,
Cell: props => {
return <span data-gender={props.original.gender}>{props.value}</span>;
},
},
{
Header: 'Age',
accessor: 'age',
filterable: true,
Cell: props => {
return <span data-age={props.original.age}>{props.value}</span>;
},
},
{
Header: 'Zip',
accessor: 'zip',
filterable: true,
Cell: props => {
return <span data-zip={props.original}>{props.value}</span>;
},
},
{
Header: 'Day(s)',
accessor: 'daysOfWeek',
filterable: true,
Cell: props => {
const { daysOfWeek } = props.original;
let daysToDisplay = '';
if (daysOfWeek && typeof daysOfWeek === 'object') {
for (const day in daysOfWeek) {
daysToDisplay =
daysToDisplay === '' ? daysOfWeek[day] : `${daysToDisplay}, ${daysOfWeek[day]}`;
}
}
return (
<span
data-daysofweek={daysOfWeek && JSON.stringify(daysOfWeek)}
data-daysofweek-by-id={props.original._id}>
{daysToDisplay || '-'}
</span>
);
},
},
{
Header: 'Timeframe',
accessor: 'timeframeNote',
Cell: props => {
return <span data-timeframe={props.original.timeframeNote}>{props.value || '-'}</span>;
},
},
{
Header: 'Priority',
accessor: 'priority',
filterable: true,
Cell: props => {
return <span data-priority={props.original.priority}>{props.value}</span>;
},
},
{
Header: 'Patient ID',
accessor: 'patient_id',
filterable: true,
Cell: props => {
return
<span data-patient-id={props.original.patient_id}>
<Link data-patient-id={props.original.patient_id} to={`/item/patient-info/${props.original.patient_id}`}>
Patient Info
</Link>
</span>
);
},
},
{
Header: '',
accessor: '',
Cell: props => {
return (
<Link data-update-id={props.original._id} to={`/item/update/${props.original._id}`}>
Update Item
</Link>
);
},
},
{
Header: '',
accessor: '',
Cell: props => {
return (
<span data-delete-id={props.original._id}>
<DeleteButton id={props.original._id} onDelete={this.handleRemoveItem} />
</span>
);
},
},
];
return (
<Wrapper>
{(items || []).length > 0 ? ( // defeats the purpose of using `isLoading` prop?
<ReactTable
data={items}
columns={columns}
defaultPageSize={10}
showPageSizeOptions={true}
minRows={10}
/>
) : (
`No items to render... :(`
)}
</Wrapper>
);
}
}
export default ItemsList;
|
# ***************************************************************
# Copyright (c) 2020 Jittor. Authors:
# Guoye Yang <[email protected]>
# Dun Liang <[email protected]>.
# All Rights Reserved.
# This file is subject to the terms and conditions defined in
# file 'LICENSE.txt', which is part of this source code package.
# ***************************************************************
import unittest
import jittor as jt
import numpy as np
from .test_grad import ngrad
from .test_cuda import test_cuda
def get_node_info(s):
mem_ptr = s.split(')')[0].split(',')[-1]
name = s.split(')')[0].split(',')[-2]
return name, mem_ptr
def get_info(graph):
bop = [ node for node in graph.nodes_info if node.startswith("Var")]
node_dict = {}
for bop_ in bop:
name, mem_ptr = get_node_info(bop_)
node_dict[name] = mem_ptr
return node_dict
def check_equal(a, b):
eps = 1e-1 # icc error almost reaches 1e-1
return abs(a - b) < eps
class TestReshapeOp(unittest.TestCase):
def test_reshape(self):
a = jt.random([123, 456, 789]).name("a")
b = jt.reshape(a, [123 * 2, int(789 * 456 / 2)]).name("b")
c = jt.reshape(b, [123 * 456 * 789]).name("c")
d = jt.reshape(c, [2, int(123 / 3), 789, int(456 / 2), 3]).name("d")
e = jt.reshape(d, [2, int(123 / 3), 789, -1, 3]).name("e")
assert b.shape == [123 * 2, int(789 * 456 / 2)]
assert c.shape == [123 * 456 * 789]
assert d.shape == [2, int(123 / 3), 789, int(456 / 2), 3]
assert e.shape == [2, int(123 / 3), 789, int(456 / 2), 3]
a_mean = a.mean().data
b_mean = b.mean().data
c_mean = c.mean().data
d_mean = d.mean().data
e_mean = e.mean().data
a = (a + 1).name("new_a")
new_a_mean = a.mean().data
new_b_mean = b.mean().data
node_dict = get_info(jt.dump_all_graphs())
assert check_equal(a_mean, b_mean), f"{a_mean} != {b_mean}"
assert check_equal(a_mean, c_mean), f"{a_mean} != {c_mean}"
assert check_equal(a_mean, d_mean), f"{a_mean} != {d_mean}"
assert check_equal(a_mean, e_mean), f"{a_mean} != {e_mean}"
assert check_equal(b_mean, new_b_mean), f"{b_mean} != {new_b_mean}"
assert not check_equal(a_mean, new_a_mean), f"{a_mean} == {new_a_mean}"
assert node_dict['a'] == node_dict['b']
assert node_dict['a'] == node_dict['c']
assert node_dict['a'] == node_dict['d']
assert node_dict['a'] == node_dict['e']
def test_view(self):
a = jt.ones([2,3,4])
assert a.view(2,-1).shape == [2,12]
def test_flatten(self):
a = jt.ones([2,3,4])
assert a.flatten().shape == [24]
assert a.flatten(1).shape == [2,12]
assert a.flatten(0,-2).shape == [6,4]
def test_reshape_var(self):
a = jt.zeros(10)
b = a.reshape(a.shape)
if __name__ == "__main__":
unittest.main() |
'use strict'
const path = require('path')
const utils = require('./utils')
const config = require('../config')
const vueLoaderConfig = require('./vue-loader.conf')
function resolve (dir) {
return path.join(__dirname, '..', dir)
}
module.exports = {
context: path.resolve(__dirname, '../'),
entry: {
app: './src/main.js'
},
output: {
path: config.build.assetsRoot,
filename: '[name].js',
publicPath: process.env.NODE_ENV === 'production'
? config.build.assetsPublicPath
: config.dev.assetsPublicPath
},
resolve: {
extensions: ['.js', '.vue', '.json'],
alias: {
'vue$': 'vue/dist/vue.esm.js',
'@': resolve('src'),
}
},
module: {
rules: [
...(config.dev.useEslint? [{
test: /\.(js|vue)$/,
loader: 'eslint-loader',
enforce: 'pre',
include: [resolve('src'), resolve('test')],
options: {
formatter: require('eslint-friendly-formatter'),
emitWarning: !config.dev.showEslintErrorsInOverlay
}
}] : []),
{
test: /\.vue$/,
loader: 'vue-loader',
options: vueLoaderConfig
},
{
test: /\.js$/,
loader: 'babel-loader',
include: [resolve('src'), resolve('test')]
},
{
test: /\.scss$/,
loaders: ["style", "css", "sass"]
},
{
test: /\.(png|jpe?g|gif|svg)(\?.*)?$/,
loader: 'url-loader',
options: {
limit: 1,
name: utils.assetsPath('img/[name].[hash:7].[ext]')
}
},
{
test: /\.(mp4|webm|ogg|mp3|wav|flac|aac)(\?.*)?$/,
loader: 'url-loader',
options: {
limit: 10000,
name: utils.assetsPath('media/[name].[hash:7].[ext]')
}
},
{
test: /\.(woff2?|eot|ttf|otf)(\?.*)?$/,
loader: 'url-loader',
options: {
limit: 10000,
name: utils.assetsPath('fonts/[name].[hash:7].[ext]')
}
}
]
}
}
|
/*
Config file for a basic IRC bridge plugin written in GO
Binary will be spawned using child_process.spawn and get input from stdin and text from stdout will be ran as
commands in the factorio server.
*/
var os = require("os");
var binary = "build/clusterioIRCbridge_windows";
if(os.platform == "linux") binary = "build/clusterioIRCbridge_linux";
if(os.platform == "darwin") binary = "build/clusterioIRCbridge_darwin";
module.exports = {
// Name of package. For display somewhere I guess.
name: "clusterioIRCbridge",
version: "1.0.0",
// Binary entrypoint for plugin. Don't let it crash. Stdout is sent to game as server chat (run /c commands from here for interface)
// Make sure its cross platform somehow.
binary: binary,
description: "Clusterio plugin to put #factorio on espernet in your game chat",
// We'll send everything in this file to your stdin. Beware.
scriptOutputFileSubscription: false,
} |
(window.webpackJsonp=window.webpackJsonp||[]).push([[93],{TpdJ:function(t,e,i){"use strict";i.r(e),i.d(e,"ion_tab",(function(){return a})),i.d(e,"ion_tabs",(function(){return o}));var s=i("54nT"),n=(i("AfW+"),i("m9yc"));const a=class{constructor(t){Object(s.k)(this,t),this.loaded=!1,this.active=!1}async componentWillLoad(){this.active&&await this.setActive()}async setActive(){await this.prepareLazyLoaded(),this.active=!0}changeActive(t){t&&this.prepareLazyLoaded()}prepareLazyLoaded(){if(!this.loaded&&null!=this.component){this.loaded=!0;try{return Object(n.a)(this.delegate,this.el,this.component,["ion-page"])}catch(t){console.error(t)}}return Promise.resolve(void 0)}render(){const{tab:t,active:e,component:i}=this;return Object(s.i)(s.a,{role:"tabpanel","aria-hidden":e?null:"true","aria-labelledby":`tab-button-${t}`,class:{"ion-page":void 0===i,"tab-hidden":!e}},Object(s.i)("slot",null))}get el(){return Object(s.f)(this)}static get watchers(){return{active:["changeActive"]}}static get style(){return":host(.tab-hidden){display:none!important}"}},o=class{constructor(t){Object(s.k)(this,t),this.transitioning=!1,this.useRouter=!1,this.onTabClicked=t=>{const{href:e,tab:i}=t.detail;if(this.useRouter&&void 0!==e){const t=document.querySelector("ion-router");t&&t.push(e)}else this.select(i)},this.ionNavWillLoad=Object(s.e)(this,"ionNavWillLoad",7),this.ionTabsWillChange=Object(s.e)(this,"ionTabsWillChange",3),this.ionTabsDidChange=Object(s.e)(this,"ionTabsDidChange",3)}async componentWillLoad(){if(this.useRouter||(this.useRouter=!!document.querySelector("ion-router")&&!this.el.closest("[no-router]")),!this.useRouter){const t=this.tabs;t.length>0&&await this.select(t[0])}this.ionNavWillLoad.emit()}componentWillRender(){const t=this.el.querySelector("ion-tab-bar");t&&(t.selectedTab=this.selectedTab?this.selectedTab.tab:void 0)}async select(t){const e=r(this.tabs,t);return!!this.shouldSwitch(e)&&(await this.setActive(e),await this.notifyRouter(),this.tabSwitch(),!0)}async getTab(t){return r(this.tabs,t)}getSelected(){return Promise.resolve(this.selectedTab?this.selectedTab.tab:void 0)}async setRouteId(t){const e=r(this.tabs,t);return this.shouldSwitch(e)?(await this.setActive(e),{changed:!0,element:this.selectedTab,markVisible:()=>this.tabSwitch()}):{changed:!1,element:this.selectedTab}}async getRouteId(){const t=this.selectedTab&&this.selectedTab.tab;return void 0!==t?{id:t,element:this.selectedTab}:void 0}setActive(t){return this.transitioning?Promise.reject("transitioning already happening"):(this.transitioning=!0,this.leavingTab=this.selectedTab,this.selectedTab=t,this.ionTabsWillChange.emit({tab:t.tab}),t.active=!0,Promise.resolve())}tabSwitch(){const t=this.selectedTab,e=this.leavingTab;this.leavingTab=void 0,this.transitioning=!1,t&&e!==t&&(e&&(e.active=!1),this.ionTabsDidChange.emit({tab:t.tab}))}notifyRouter(){if(this.useRouter){const t=document.querySelector("ion-router");if(t)return t.navChanged("forward")}return Promise.resolve(!1)}shouldSwitch(t){return void 0!==t&&t!==this.selectedTab&&!this.transitioning}get tabs(){return Array.from(this.el.querySelectorAll("ion-tab"))}render(){return Object(s.i)(s.a,{onIonTabButtonClick:this.onTabClicked},Object(s.i)("slot",{name:"top"}),Object(s.i)("div",{class:"tabs-inner"},Object(s.i)("slot",null)),Object(s.i)("slot",{name:"bottom"}))}get el(){return Object(s.f)(this)}static get style(){return":host{left:0;right:0;top:0;bottom:0;display:-ms-flexbox;display:flex;position:absolute;-ms-flex-direction:column;flex-direction:column;width:100%;height:100%;z-index:0}.tabs-inner,:host{contain:layout size style}.tabs-inner{position:relative;-ms-flex:1;flex:1}"}},r=(t,e)=>{const i="string"==typeof e?t.find(t=>t.tab===e):e;return i||console.error(`tab with id: "${i}" does not exist`),i}}}]); |
module.exports = {
rules: {
// 禁止在循环中出现 await
'no-await-in-loop': ['error'],
// 强制 “for” 循环中更新子句的计数器朝着正确的方向移动
'for-direction': ['error'],
// 强制 getter 函数中出现 return 语句
'getter-return': ['error'],
// 禁止使用异步函数作为 Promise executor
'no-async-promise-executor': ['error'],
// 禁止与 -0 进行比较
'no-compare-neg-zero': ['error'],
// 禁止条件表达式中出现赋值操作符
'no-cond-assign': ['error'],
// 允许 console
'no-console': ['off'],
// 禁止在条件中使用常量表达式
'no-constant-condition': ['error', { checkLoops: false }],
// 禁止在正则表达式中使用控制字符
'no-control-regex': ['error'],
// 禁用 debugger
'no-debugger': ['error'],
// 禁止 function 定义中出现重名参数
'no-dupe-args': ['error'],
// 禁止对象字面量中出现重复的 key
'no-dupe-keys': ['error'],
// 禁止出现重复的 case 标签
'no-duplicate-case': ['error'],
// 禁止在正则表达式中使用空字符集
'no-empty-character-class': ['error'],
// 禁止出现空语句块
'no-empty': ['error'],
// 禁止对 catch 子句的参数重新赋值
'no-ex-assign': ['error'],
// 禁止不必要的布尔转换 --fix
'no-extra-boolean-cast': ['error'],
// 禁止不必要的括号 --fix
'no-extra-parens': ['error', 'functions'],
// 禁止不必要的分号 --fix
'no-extra-semi': ['error'],
// 禁止对 function 声明重新赋值
'no-func-assign': ['error'],
// 禁止在嵌套的块中出现变量声明或 function 声明
'no-inner-declarations': ['error', 'functions'],
// 禁止 RegExp 构造函数中存在无效的正则表达式字符串
'no-invalid-regexp': ['error'],
// 禁止不规则的空白
'no-irregular-whitespace': ['error'],
// 不允许在字符类语法中出现由多个代码点组成的字符
'no-misleading-character-class': ['error'],
// 禁止把全局对象作为函数调用
'no-obj-calls': ['error'],
// 禁止直接调用 Object.prototypes 的内置属性
'no-prototype-builtins': ['error'],
// 禁止正则表达式字面量中出现多个空格 --fix
'no-regex-spaces': ['error'],
// 禁用稀疏数组
'no-sparse-arrays': ['error'],
// 禁止在常规字符串中出现模板字面量占位符语法
'no-template-curly-in-string': ['error'],
// 禁止出现令人困惑的多行表达式
'no-unexpected-multiline': ['error'],
// 禁止在 return、throw、continue 和 break 语句之后出现不可达代码
'no-unreachable': ['error'],
// 禁止在 finally 语句块中出现控制流语句
'no-unsafe-finally': ['error'],
// 禁止对关系运算符的左操作数使用否定操作符 --fix
'no-unsafe-negation': ['error'],
// 禁止由于 await 或 yield的使用而可能导致出现竞态条件的赋值
'require-atomic-updates': ['error'],
// 要求使用 isNaN() 检查 NaN
'use-isnan': ['error'],
// 要求 typeof 表达式只与字符串字面量或其它 typeof 表达式 进行比较，禁止与其它值进行比较
'valid-typeof': ['error', { requireStringLiterals: true }],
},
};
|
'use strict';
// ---------------------------------------------------------------------------
const Exchange = require ('./base/Exchange');
// ---------------------------------------------------------------------------
module.exports = class vaultoro extends Exchange {
describe () {
return this.deepExtend (super.describe (), {
'id': 'vaultoro',
'name': 'Vaultoro',
'countries': [ 'CH' ],
'rateLimit': 1000,
'version': '1',
'has': {
'CORS': true,
},
'urls': {
'logo': 'https://user-images.githubusercontent.com/1294454/27766880-f205e870-5ee9-11e7-8fe2-0d5b15880752.jpg',
'api': 'https://api.vaultoro.com',
'www': 'https://www.vaultoro.com',
'doc': 'https://api.vaultoro.com',
},
'commonCurrencies': {
'GLD': 'Gold',
},
'api': {
'public': {
'get': [
'bidandask',
'buyorders',
'latest',
'latesttrades',
'markets',
'orderbook',
'sellorders',
'transactions/day',
'transactions/hour',
'transactions/month',
],
},
'private': {
'get': [
'balance',
'mytrades',
'orders',
],
'post': [
'buy/{symbol}/{type}',
'cancel/{id}',
'sell/{symbol}/{type}',
'withdraw',
],
},
},
});
}
async fetchMarkets () {
let result = [];
let markets = await this.publicGetMarkets ();
let market = markets['data'];
let baseId = market['MarketCurrency'];
let quoteId = market['BaseCurrency'];
let base = this.commonCurrencyCode (baseId);
let quote = this.commonCurrencyCode (quoteId);
let symbol = base + '/' + quote;
let id = market['MarketName'];
result.push ({
'id': id,
'symbol': symbol,
'base': base,
'quote': quote,
'baseId': baseId,
'quoteId': quoteId,
'info': market,
});
return result;
}
async fetchBalance (params = {}) {
await this.loadMarkets ();
let response = await this.privateGetBalance ();
let balances = response['data'];
let result = { 'info': balances };
for (let b = 0; b < balances.length; b++) {
let balance = balances[b];
let currencyId = balance['currency_code'].toUpperCase ();
let code = currencyId;
if (currencyId in this.currencies_by_id[currencyId])
code = this.currencies_by_id[currencyId]['code'];
let free = balance['cash'];
let used = balance['reserved'];
let total = this.sum (free, used);
let account = {
'free': free,
'used': used,
'total': total,
};
result[code] = account;
}
return this.parseBalance (result);
}
async fetchOrderBook (symbol, limit = undefined, params = {}) {
await this.loadMarkets ();
let response = await this.publicGetOrderbook (params);
let orderbook = {
'bids': response['data'][0]['b'],
'asks': response['data'][1]['s'],
};
return this.parseOrderBook (orderbook, undefined, 'bids', 'asks', 'Gold_Price', 'Gold_Amount');
}
async fetchTicker (symbol, params = {}) {
await this.loadMarkets ();
let quote = await this.publicGetBidandask (params);
let bidsLength = quote['bids'].length;
let bid = quote['bids'][bidsLength - 1];
let ask = quote['asks'][0];
let response = await this.publicGetMarkets (params);
let ticker = response['data'];
let timestamp = this.milliseconds ();
let last = this.safeFloat (ticker, 'LastPrice');
return {
'symbol': symbol,
'timestamp': timestamp,
'datetime': this.iso8601 (timestamp),
'high': this.safeFloat (ticker, '24hHigh'),
'low': this.safeFloat (ticker, '24hLow'),
'bid': bid[0],
'bidVolume': undefined,
'ask': ask[0],
'askVolume': undefined,
'vwap': undefined,
'open': undefined,
'close': last,
'last': last,
'previousClose': undefined,
'change': undefined,
'percentage': undefined,
'average': undefined,
'baseVolume': undefined,
'quoteVolume': this.safeFloat (ticker, '24hVolume'),
'info': ticker,
};
}
parseTrade (trade, market) {
let timestamp = this.parse8601 (trade['Time']);
return {
'id': undefined,
'info': trade,
'timestamp': timestamp,
'datetime': this.iso8601 (timestamp),
'symbol': market['symbol'],
'order': undefined,
'type': undefined,
'side': undefined,
'price': trade['Gold_Price'],
'amount': trade['Gold_Amount'],
};
}
async fetchTrades (symbol, since = undefined, limit = undefined, params = {}) {
await this.loadMarkets ();
let market = this.market (symbol);
let response = await this.publicGetTransactionsDay (params);
return this.parseTrades (response, market, since, limit);
}
async createOrder (symbol, type, side, amount, price = undefined, params = {}) {
await this.loadMarkets ();
let market = this.market (symbol);
let method = 'privatePost' + this.capitalize (side) + 'SymbolType';
let response = await this[method] (this.extend ({
'symbol': market['quoteId'].toLowerCase (),
'type': type,
'gld': amount,
'price': price || 1,
}, params));
return {
'info': response,
'id': response['data']['Order_ID'],
};
}
async cancelOrder (id, symbol = undefined, params = {}) {
await this.loadMarkets ();
return await this.privatePostCancelId (this.extend ({
'id': id,
}, params));
}
sign (path, api = 'public', method = 'GET', params = {}, headers = undefined, body = undefined) {
let url = this.urls['api'] + '/';
if (api === 'public') {
url += path;
} else {
this.checkRequiredCredentials ();
let nonce = this.nonce ();
url += this.version + '/' + this.implodeParams (path, params);
let query = this.extend ({
'nonce': nonce,
'apikey': this.apiKey,
}, this.omit (params, this.extractParams (path)));
url += '?' + this.urlencode (query);
headers = {
'Content-Type': 'application/json',
'X-Signature': this.hmac (this.encode (url), this.encode (this.secret)),
};
}
return { 'url': url, 'method': method, 'body': body, 'headers': headers };
}
};
|
// THIS FILE IS AUTO GENERATED
import { GenIcon } from '../lib';
export function IoIosSkipBackward (props) {
return GenIcon({"tag":"svg","attr":{"viewBox":"0 0 512 512"},"child":[{"tag":"path","attr":{"d":"M175 100v137.8L403.9 98.1c5.3-3.1 12.1.7 12.1 6.9v302c0 6.2-6.7 10-12.1 6.9L175 274.2V412c0 2.2-1.8 4-4 4h-71c-2.2 0-4-1.8-4-4V100c0-2.2 1.8-4 4-4h71c2.2 0 4 1.8 4 4z"}}]})(props);
};
|
'use strict';
const { writeFile } = require('fs');
const { promisify } = require('util');
const { copy } = require('fs-extra');
const path = require('path');
const templater = require('./functionTemplates/template');
const { validateName } = require('./nameUtil');
const YMLUtil = require('./binarisYML');
const templateDir = path.join(__dirname, 'functionTemplates');
const writeAsync = promisify(writeFile);
const runtimeToTemplateDir = {
node8: 'js',
node10: 'js',
node12: 'js',
python2: 'py2',
pypy2: 'py2',
java8: 'java8',
python3: 'py2',
};
const experimentalRuntimes = ['java8'];
/**
* Creates a Binaris function with the given name at the
* provided path. If a name is not provided one will be randomly
* generated.
*
* @param {string} functionName - the name of the function to create
* @param {string} functionPath - the path to create the function at
* @param {string} runtime - name of runtime to run the function
* @returns {string} - the final name selected for the function
*/
const create = async function create(functionName, functionPath,
runtime, config) {
const finalName = functionName;
validateName(finalName);
const template = runtimeToTemplateDir[runtime];
if (!template) {
throw new Error(`No template for runtime: ${runtime}`);
}
// parse the templated yml and make the necessary modifications
const templatePath = path.join(templateDir, template);
const binarisConf = await YMLUtil.loadBinarisConf(templatePath);
const templateName = YMLUtil.getFuncName(binarisConf);
const funcConf = {
...YMLUtil.getFuncConf(binarisConf, templateName),
runtime,
...config,
};
if (experimentalRuntimes.includes(runtime) &&
(config.entrypoint !== undefined || config.file !== undefined)) {
throw new Error(`Configurable "entrypoint" and "file" are not supported for ${runtime}`);
}
// replace the generic function name with the actual name
YMLUtil.delFuncConf(binarisConf, templateName);
YMLUtil.addFuncConf(binarisConf, finalName, funcConf);
// now write out all the files that have been modified
await copy(templatePath, functionPath, { overwrite: false, errorOnExist: true });
// currently custom entry points are not supported in Java8
if (!experimentalRuntimes.includes(runtime)) {
const { entrypoint, file } = funcConf;
const codeTemplate = templater(runtime, entrypoint);
await writeAsync(path.join(functionPath, file), codeTemplate);
}
await YMLUtil.saveBinarisConf(functionPath, binarisConf);
return finalName;
};
module.exports = {
create,
experimentalRuntimes,
};
|
// Copyright (c) 2009-2017 SAP SE, All Rights Reserved
/* global sinaDefine */
sinaDefine([], function () {
"use strict";
return function (oContext, gen) {
var res = {};
res.alligatorbook = [oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Quote',
value: 'Robert Daley\'s "The World Beneath The City" (1959), a history of the problems said aware to be involved in developing the network of utilities beneath Manhattan island, aware of reports that sewer inspectors first saw aligators in 1935, and confirms that their average length was about 2 feet. ',
valueFormatted: 'Robert Daley\'s "The World Beneath The City" (1959), a history of the problems said aware to be involved in developing the network of utilities beneath Manhattan island, aware of reports that sewer inspectors first saw aligators in 1935, and confirms that their average length was about 2 feet. ',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Andrew McCain',
valueFormatted: 'Andrew McCain',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
})
];
res.slendermanbook = [
oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Carol Mandelbaum',
valueFormatted: 'Carol Mandelbaum',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Summary',
value: 'Slender Man is a fictional character that originated as an Internet meme created by Something Awful forums user Victor Surge in 2009, depicted as a thin, unnaturally tall man with a blank and usually featureless face and wearing a black suit, commonly said to stalk, abduct, or traumatize people, particularly children.',
valueFormatted: 'Slender Man is a fictional character that originated as an Internet meme created by Something Awful forums user Victor Surge in 2009, depicted as a thin, unnaturally tall man with a blank and usually featureless face and wearing a black suit, commonly said to stalk, abduct, or traumatize people, particularly children.',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
})
];
res.chupacabrabook = [
oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Ryan Anderson',
valueFormatted: 'Ryan Anderson',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Summary',
value: ' The first purported sightings were reported in Puerto Rico. The name comes from the animal\'s reported habit of attacking and drinking the blood of livestock, including goats.',
valueFormatted: ' The first purported sightings were reported in Puerto Rico. The name comes from the animal\'s reported habit of attacking and drinking the blood of livestock, including goats.',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
})
];
res.hitchhikerbook = [oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Cynthia MacDonald',
valueFormatted: 'Cynthia MacDonald',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Summary',
value: 'People traveling by vehicle meet with or are accompanied by a hitchhiker who subsequently vanishes without explanation, often from a moving vehicle. The vanishing hitchhiker can also leave some form of information that encourages the motorist to make subsequent contact.',
valueFormatted: 'People traveling by vehicle meet with or are accompanied by a hitchhiker who subsequently vanishes without explanation, often from a moving vehicle. The vanishing hitchhiker can also leave some form of information that encourages the motorist to make subsequent contact.',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
})
];
res.hitchhiker2book = [oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Simon Kingston',
valueFormatted: 'Simon Kingston',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Summary',
value: 'The general public became widely aware of the legend after the publication of the book "The Vanishing Hitchhiker" (1981) in which the author, Harold Brunvan, suggests that the legend can be traced as far back as the 1870s and has parallels in Korea, Russia, China, and among Mormons and people living in Arkansas mountains.',
valueFormatted: 'The general public became widely aware of the legend after the publication of the book "The Vanishing Hitchhiker" (1981) in which the author, Harold Brunvan, suggests that the legend can be traced as far back as the 1870s and has parallels in Korea, Russia, China, and among Mormons and people living in Arkansas mountains.',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
})
];
res.babytrainbook = [oContext.sina._createSearchResultSetItemAttribute({
id: 'PUBLICATION',
valueHighlighted: '',
isHighlighted: false,
label: 'Publication',
value: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
valueFormatted: '/sap/bc/ui5_ui5/ui2/ushell/resources/sap/ushell/renderers/fiori2/search/sinaNext/providers/sample/images/suv_thumbnail.jpg',
metadata: gen.getMetadataById(gen.metadata3, "PUB")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'FOLKLORIST',
valueHighlighted: '',
isHighlighted: false,
label: 'Folklorist',
value: 'Douglas Milford',
valueFormatted: 'Douglas Milford',
metadata: gen.getMetadataById(gen.metadata3, "FOLKLORIST")
}),
oContext.sina._createSearchResultSetItemAttribute({
id: 'DESC',
valueHighlighted: '',
isHighlighted: false,
label: 'Summary',
value: 'Legend has it there was a small town which had an unusually high birth rate because a train would pass through the center of town at 5 am and blow its whistle, waking up all the townsfolk. Since it was too late to go back to sleep and too early to get up, residents passed the time by cuddling up. This resulted in a mini baby-boom.',
valueFormatted: 'Legend has it there was a small town which had an unusually high birth rate because a train would pass through the center of town at 5 am and blow its whistle, waking up all the townsfolk. Since it was too late to go back to sleep and too early to get up, residents passed the time by cuddling up. This resulted in a mini baby-boom.',
metadata: gen.getMetadataById(gen.metadata3, "DESC")
})
];
return res;
};
});
|
'use strict'
var jss = require('../jss')
var utils = require('../utils')
var styles = require('./styles')
var sheet = jss.createStyleSheet(styles.rules)
/**
* Canvas is a container view events can be added to.
*/
function Canvas() {
this.element = null
this.contentElement = null
}
module.exports = Canvas
/**
* Create canvas elements.
*
* @return {Canvas}
*/
Canvas.prototype.create = function () {
sheet.attach()
this.element = utils.element('div', {
class: sheet.classes.canvas
})
this.contentElement = utils.element('div', {
class: sheet.classes.content
})
this.element.appendChild(this.contentElement)
return this
}
/**
* Add event.
*
* @param {Event} event
* @return {Canvas}
*/
Canvas.prototype.add = function (event) {
this.contentElement.appendChild(event.element)
return this
}
/**
* Get content width.
*
* @return {Number}
*/
Canvas.prototype.getContentWidth = function () {
return styles.contentWidth;
}
|
(function($, undefined){
window.URL = window.webkitURL || window.URL;
window.BlobBuilder = window.BlobBuilder || window.WebKitBlobBuilder || window.MozBlobBuilder;
function build(files) {
var $out = $('#output'),
$progress = $('#prog'),
sources = [],
connections = [],
source;
$out.parent().hide();
$progress.show().prop('value', 1).text('Loading Files');
for (var i = 0, length = files.length; i < length; i++) {
sources.push("");
(function(i, file){
connections.push($.get("src/" + file, function(data) {
sources[i] = data;
}, "text"));
})(i, files[i]);
}
$.when.apply($, connections).done(function() {
$progress.prop('value', 2).text('Compiling Scripts');
$.post('https://closure-compiler.appspot.com/compile', {
js_code: sources.join("\n\n"),
compilation_level: "SIMPLE_OPTIMIZATIONS",
output_format: "text",
output_info: "compiled_code"
}, function(data) {
var code = "/*! URI.js v1.19.7 http://medialize.github.io/URI.js/ */\n/* build contains: " + files.join(', ') + " */\n" + data;
$progress.hide();
$out.val(code).parent().show();
$out.prev().find('a').remove();
$out.prev().prepend(download(code));
}).error(function() {
alert("Your browser is incapable of cross-domain communication.\nPlease see instructions for manual build below.");
});
});
};
function download(code) {
var blob = new Blob([code], {type: 'text\/javascript'});
var a = document.createElement('a');
a.download = 'URI.js';
a.href = window.URL.createObjectURL(blob);
a.textContent = 'Download';
a.dataset.downloadurl = ['text/javascript', a.download, a.href].join(':');
return a;
};
$(function(){
$('#builder').on('submit', function(e) {
var $this = $(this),
$files = $this.find('input:checked'),
files = [];
e.preventDefault();
e.stopImmediatePropagation();
if (!$files.length) {
alert("please choose at least one file!");
return;
}
$files.each(function() {
var val = $(this).val();
val.length && files.push(val);
});
build(files);
});
});
})(jQuery);
|
/*global process, global */
/**
* @file Creates REPL interface with built in Salesforce API objects and automatically resolves promise object
* @author Shinichi Tomita <[email protected]>
* @private
*/
'use strict';
var stream = require('readable-stream'),
Readable = stream.Readable,
Writable = stream.Writable,
Transform = stream.Transform,
_ = require('lodash/core'),
jsforce = require('../jsforce');
/**
* Intercept the evaled value returned from repl evaluator, convert and send back to output.
* @private
*/
function injectBefore(replServer, method, beforeFn) {
var _orig = replServer[method];
replServer[method] = function() {
var args = Array.prototype.slice.call(arguments);
var callback = args.pop();
beforeFn.apply(null, args.concat(function(err, res) {
if (err || res) {
callback(err, res);
} else {
_orig.apply(replServer, args.concat(callback));
}
}));
};
return replServer;
}
/**
* @private
*/
function injectAfter(replServer, method, afterFn) {
var _orig = replServer[method];
replServer[method] = function() {
var args = Array.prototype.slice.call(arguments);
var callback = args.pop();
_orig.apply(replServer, args.concat(function() {
var args = Array.prototype.slice.call(arguments);
try {
afterFn.apply(null, args.concat(callback));
} catch(e) {
callback(e);
}
}));
};
return replServer;
}
/**
* When the result was "promise", resolve its value
* @private
*/
function promisify(err, value, callback) {
if (err) { throw err; }
if (isPromiseLike(value)) {
value.then(function(v) {
callback(null, v);
}, function(err) {
callback(err);
});
} else {
callback(null, value);
}
}
/**
* Detect whether the value has CommonJS Promise/A+ interface or not
* @private
*/
function isPromiseLike(v) {
return _.isObject(v) && _.isFunction(v.then);
}
/**
* Output object to stdout in JSON representation
* @private
*/
function outputToStdout(prettyPrint) {
if (prettyPrint && !_.isNumber(prettyPrint)) {
prettyPrint = 4;
}
return function(err, value, callback) {
if (err) {
console.error(err);
} else {
var str = JSON.stringify(value, null, prettyPrint);
console.log(str);
}
callback(err, value);
};
}
/**
* define get accessor using Object.defineProperty
* @private
*/
function defineProp(obj, prop, getter) {
if (Object.defineProperty) {
Object.defineProperty(obj, prop, { get: getter });
}
}
/**
* @private
*/
var Repl = module.exports = function(cli, replModule) {
this._cli = cli;
this._replModule = replModule;
this._in = new Transform();
this._out = new Transform();
var self = this;
this._in._transform = function(chunk, encoding, callback) {
if (!self._paused) { this.push(chunk); }
callback();
};
this._out._transform = function(chunk, encoding, callback) {
if (!self._paused && self._interactive !== false) { this.push(chunk); }
callback();
};
};
/**
*
*/
Repl.prototype.start = function(options) {
var self = this;
var cli = this._cli;
options = options || {};
process.stdin.resume();
process.stdin.setRawMode(true);
process.stdin.pipe(this._in);
this._interactive = options.interactive;
this._out.pipe(process.stdout);
defineProp(this._out, "columns", function() { return process.stdout.columns; });
var replServer = this._replModule.start({
input: this._in,
output: this._out,
terminal: true
});
this._defineAdditionalCommands(replServer);
replServer = injectBefore(replServer, "complete", function() {
self.complete.apply(self, arguments);
});
replServer = injectAfter(replServer, "eval", promisify);
if (options.interactive === false) {
replServer = injectAfter(replServer, "eval", outputToStdout(options.prettyPrint));
replServer = injectAfter(replServer, "eval", function() { process.exit(); });
}
replServer.on('exit', function() { process.exit(); });
this._defineBuiltinVars(replServer.context);
if (options.evalScript) {
this._in.write(options.evalScript + "\n", "utf-8");
}
return this;
};
/**
* @private
*/
Repl.prototype._defineAdditionalCommands = function(replServer) {
var cli = this._cli;
replServer.defineCommand('connections', {
help: 'List currenty registered Salesforce connections',
action: function(name) {
cli.listConnections();
replServer.displayPrompt();
}
});
replServer.defineCommand('connect', {
help: 'Connect to Salesforce instance',
action: function(name, password) {
var options = null;
if (password) {
options = { username: name, password: password };
}
cli.connect(name, options, function(err, res) {
if (err) { console.error(err.message); }
replServer.displayPrompt();
});
}
});
replServer.defineCommand('disconnect', {
help: 'Disconnect connection and erase it from registry',
action: function(name) {
cli.disconnect(name);
replServer.displayPrompt();
}
});
replServer.defineCommand('use', {
help: 'Specify login server to establish connection',
action: function(loginServer) {
cli.setLoginServer(loginServer);
replServer.displayPrompt();
}
});
replServer.defineCommand('authorize', {
help: 'Connect to Salesforce using OAuth2 authorization flow',
action: function(clientName) {
cli.authorize(clientName, function(err, res) {
if (err) { console.error(err.message); }
replServer.displayPrompt();
});
}
});
replServer.defineCommand('register', {
help: 'Register OAuth2 client information',
action: function(clientName, clientId, clientSecret, redirectUri, loginUrl) {
var config = {
clientId: clientId,
clientSecret: clientSecret,
redirectUri: redirectUri,
loginUrl: loginUrl
};
cli.register(clientName, config, function(err, res) {
if (err) { console.error(err.message); }
replServer.displayPrompt();
});
}
});
replServer.defineCommand('open', {
help: 'Open Salesforce web page using established connection',
action: function(url) {
cli.openUrl(url);
replServer.displayPrompt();
}
});
};
/**
*
*/
Repl.prototype.pause = function() {
this._paused = true;
process.stdin.setRawMode(false);
};
/**
*
*/
Repl.prototype.resume = function() {
this._paused = false;
process.stdin.resume();
process.stdin.setRawMode(true);
};
/**
*
*/
Repl.prototype.complete = function(line, callback) {
var tokens = line.replace(/^\s+/, '').split(/\s+/);
var command = tokens[0];
var keyword = tokens[1] || '';
if (command[0] === '.' && tokens.length === 2) {
var candidates = [];
if (command === '.connect' || command === '.disconnect') {
candidates = this._cli.getConnectionNames();
} else if (command === '.authorize') {
candidates = this._cli.getClientNames();
} else if (command === '.use') {
candidates = [ 'production', 'sandbox' ];
}
candidates = candidates.filter(function(name) {
return name.indexOf(keyword) === 0;
});
callback(null, [ candidates, keyword ]);
} else {
callback();
}
};
/**
* Map all node-salesforce object to REPL context
* @private
*/
Repl.prototype._defineBuiltinVars = function(context) {
var cli = this._cli;
// define salesforce package root objects
for (var key in jsforce) {
if (jsforce.hasOwnProperty(key) && !global[key]) {
context[key] = jsforce[key];
}
}
// expose jsforce package root object in context.
context.jsforce = jsforce;
function createProxyFunc(prop) {
return function() {
var conn = cli.getCurrentConnection();
return conn[prop].apply(conn, arguments);
};
}
function createProxyAccessor(prop) {
return function() {
var conn = cli.getCurrentConnection();
return conn[prop];
};
}
var conn = cli.getCurrentConnection();
// define connection prototype functions as proxy
for (var prop in conn) {
if (prop.indexOf('_') === 0) { // ignore private
continue;
}
if (_.isFunction(conn[prop])) {
context[prop] = createProxyFunc(prop);
} else if (_.isObject(conn[prop])) {
defineProp(context, prop, createProxyAccessor(prop));
}
}
// expose default connection as "$conn"
defineProp(context, "$conn", function(){ return cli.getCurrentConnection(); });
};
|
const getEnvVars = () => {
const { DRINKS_API, GMAPS_KEY, MONGO_URI, MONGO_DB_NAME } = process.env;
return {
DRINKS_API,
GMAPS_KEY,
MONGO_URI,
MONGO_DB_NAME
};
};
const runJob = async function run() {
const axios = require('axios');
const _get = require('lodash/get');
const { MongoClient } = require('mongodb');
const { Client } = require('@googlemaps/google-maps-services-js');
const { DRINKS_API, GMAPS_KEY, MONGO_URI, MONGO_DB_NAME } = this.getEnvVars();
let mongoDbClient, db;
const fetchEvents = async (pageNumber = 1, pageSize = 10) =>
(await axios.get(`${DRINKS_API}/events?page=${pageNumber}&pageSize=${pageSize}`)).data;
const fetchAllEvents = async () => {
const pageSize = 10;
let pageNumber = 0;
let events = [];
do {
const newEvents = await fetchEvents(++pageNumber);
events = [ ...events, ...newEvents];
} while (events.length === (pageSize * pageNumber));
return events;
};
const getAddress = async ({ latitude: lat, longitude: lng, name}) => {
const client = new Client({});
let address;
const respCode = await client
.reverseGeocode({
params: {
latlng: { lat, lng },
key: GMAPS_KEY
}
});
const { compound_code } = _get(respCode, 'data.plus_code', {});
if (compound_code) {
const respAddress = await client.geocode({
params: {
address: compound_code + ' ' + name,
key: GMAPS_KEY
},
});
address = _get(respAddress, 'data.results.0.formatted_address');
}
return address;
};
const fetchLocation = async location => {
let locationDocument = await db.collection('locations')
.findOne({ latitude: location.latitude, longitude: location.longitude });
if (!locationDocument) {
const address = await getAddress(location);
if (address) {
location.address = address;
}
({ ops: [locationDocument] } = await db.collection('locations').insertOne(location));
}
return locationDocument;
};
const fetchUser = async user => {
let userDocument = await db.collection('users')
.findOne({ name: user.name });
if (!userDocument) {
({ ops: [userDocument] } = await db.collection('users').insertOne(user));
}
return userDocument;
};
const fetchComment = async comment => {
comment.user = (await fetchUser(comment.user))._id;
let commentDocument = await db.collection('comments')
.findOne({ timestamp: comment.timestamp, user: comment.user });
if (!commentDocument) {
({ ops: [commentDocument] } = await db.collection('comments').insertOne(comment));
}
return commentDocument;
};
try {
console.log('Job starts');
mongoDbClient = await MongoClient.connect(MONGO_URI, { useNewUrlParser: true });
db = mongoDbClient.db(MONGO_DB_NAME);
const events = await fetchAllEvents();
for (const { location = {}, comments = [], guests = [], ...restEvent } of events) {
const eventDocument = await db.collection('events').findOne({ id: restEvent.id });
if (!eventDocument) {
restEvent.locationId = (await fetchLocation(location))._id;
restEvent.creator = (await fetchUser(restEvent.creator))._id;
restEvent.guests = [];
for (const guest of guests) {
restEvent.guests.push((await fetchUser(guest))._id);
}
restEvent.comments = [];
for (const comment of comments) {
restEvent.comments.push((await fetchComment(comment))._id);
}
await db.collection('events').insertOne(restEvent);
}
}
} catch (error) {
console.log({error});
} finally {
await mongoDbClient.close();
console.log('Job ends');
}
};
module.exports = {
runJob,
getEnvVars
};
|
/**
* @module Tags
*/
import { mxUtils, mxImage } from '../misc/mxExport.js';
import AbstractTag from './AbstractTag.js';
import CONST from '../misc/Constants.js';
/**
* @classdesc The tag indicates if the ui element is dynamic
*
* It maps the collabortive property the front end component model
* The tag is unique that means it is only allowed once for a cell
* @constructor
* @param {UIControl} cell the cell that holds the tag
* @param {mxPoint} offset the offset
* @extends AbstractTag
*/
class DynamicTag extends AbstractTag {
constructor(cell, offset) {
super(cell, new mxImage(DynamicTag.IMAGE, CONST.TAG.SIZE, CONST.TAG.SIZE), 'Shared editing enabled', offset);
this.tagObj.setAttribute('isUnique', true);
this.tagObj.setAttribute('tagType', DynamicTag.Alias);
}
/**
* An alias name for the DynamicTag class
* @default Dynamic
* @static
* @readonly
*/
static Alias = 'Dynamic';
/**
* The URL to the image as defined in the constants-modules
* @default CONST.IMAGES.YJS
* @static
* @readonly
*/
static IMAGE = CONST.IMAGES.DYNAMIC;
}
AbstractTag.registerCodec(DynamicTag);
export default DynamicTag; |
#!/usr/bin/env python
import os
COV = None
if os.environ.get('FLASK_COVERAGE'):
import coverage
COV = coverage.coverage(branch=True, include='app/*')
COV.start()
from app import create_app, db
from app.models import User, Follow, Role, Permission, Post, Comment, Like
from flask_script import Manager, Shell
from flask_migrate import Migrate, MigrateCommand
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
manager = Manager(app)
migrate = Migrate(app, db)
def make_shell_context():
return dict(app=app, db=db, User=User, Follow=Follow, Role=Role,
Permission=Permission, Post=Post, Comment=Comment, Like=Like)
manager.add_command("shell", Shell(make_context=make_shell_context))
manager.add_command('db', MigrateCommand)
@manager.command
def test(coverage=False):
"""Run the unit tests."""
if coverage and not os.environ.get('FLASK_COVERAGE'):
import sys
os.environ['FLASK_COVERAGE'] = '1'
os.execvp(sys.executable, [sys.executable] + sys.argv)
import unittest
tests = unittest.TestLoader().discover('tests')
unittest.TextTestRunner(verbosity=2).run(tests)
if COV:
COV.stop()
COV.save()
print('Coverage Summary:')
COV.report()
basedir = os.path.abspath(os.path.dirname(__file__))
covdir = os.path.join(basedir, 'tmp/coverage')
COV.html_report(directory=covdir)
print('HTML version: file://%s/index.html' % covdir)
COV.erase()
@manager.command
def profile(length=25, profile_dir=None):
"""Start the application under the code profiler."""
from werkzeug.contrib.profiler import ProfilerMiddleware
app.wsgi_app = ProfilerMiddleware(app.wsgi_app, restrictions=[length],
profile_dir=profile_dir)
app.run(threaded=True)
@manager.command
def deploy():
"""Run deployment tasks."""
from flask_migrate import upgrade
from app.models import Role, User
# migrate database to latest revision
upgrade()
# create user roles
Role.insert_roles()
# create self-follows for all users
# User.add_self_follows()
if __name__ == '__main__':
manager.run()
|
# coding=utf-8
import logging
import random
import string
import sys
import unittest
from time import time, sleep
import apiritif
import os
import re
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException, TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support import expected_conditions as econd
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.keys import Keys
from bzt.resources.selenium_extras import dialogs_replace, get_locator, wait_for, add_flow_markers
class TestLocScRemote(unittest.TestCase):
def setUp(self):
self.vars = {}
timeout = 3.5
self.driver = None
options = webdriver.FirefoxOptions()
options.set_preference('network.proxy.type', 4)
self.driver = webdriver.Remote(command_executor='http://user:key@remote_web_driver_host:port/wd/hub',
desired_capabilities={'app': '', 'browserName': 'firefox', 'deviceName': '',
'javascriptEnabled': 'True', 'platformName': 'linux',
'platformVersion': '', 'seleniumVersion': '',
'version': '54.0'},
options=options)
self.driver.implicitly_wait(timeout)
add_flow_markers()
apiritif.put_into_thread_store(driver=self.driver, scenario_name='loc_sc_remote', timeout=timeout, windows={},
func_mode=False)
def _1_(self):
with apiritif.smart_transaction('/'):
self.driver.get('http://blazedemo.com/')
dialogs_replace()
wait_for('present', [{'xpath': "//input[@type='submit']"}], 3.5)
self.assertEqual(self.driver.title, 'BlazeDemo')
body = self.driver.page_source
re_pattern = re.compile('contained_text')
self.assertEqual(0, len(re.findall(re_pattern, body)), "Assertion: 'contained_text' found in BODY")
def _2_empty(self):
with apiritif.smart_transaction('empty'):
pass
def test_locscremote(self):
self._1_()
self._2_empty()
def tearDown(self):
if self.driver:
self.driver.quit()
|
/*
Copyright (c) 2003-2010, CKSource - Frederico Knabben. All rights reserved.
For licensing, see LICENSE.html or http://ckeditor.com/license
*/
CKEDITOR.skins.add('kama',(function(){var a=[],b='cke_ui_color';if(CKEDITOR.env.ie&&CKEDITOR.env.version<7)a.push('icons.png','images/sprites_ie6.png','images/dialog_sides.gif');return{preload:a,editor:{css:['editor.css']},dialog:{css:['dialog.css']},templates:{css:['templates.css']},margins:[0,0,0,0],init:function(c){if(c.config.width&&!isNaN(c.config.width))c.config.width-=12;var d=[],e=/\$color/g,f='/* UI Color Support */.cke_skin_kama .cke_menuitem .cke_icon_wrapper{\tbackground-color: $color !important;\tborder-color: $color !important;}.cke_skin_kama .cke_menuitem a:hover .cke_icon_wrapper,.cke_skin_kama .cke_menuitem a:focus .cke_icon_wrapper,.cke_skin_kama .cke_menuitem a:active .cke_icon_wrapper{\tbackground-color: $color !important;\tborder-color: $color !important;}.cke_skin_kama .cke_menuitem a:hover .cke_label,.cke_skin_kama .cke_menuitem a:focus .cke_label,.cke_skin_kama .cke_menuitem a:active .cke_label{\tbackground-color: $color !important;}.cke_skin_kama .cke_menuitem a.cke_disabled:hover .cke_label,.cke_skin_kama .cke_menuitem a.cke_disabled:focus .cke_label,.cke_skin_kama .cke_menuitem a.cke_disabled:active .cke_label{\tbackground-color: transparent !important;}.cke_skin_kama .cke_menuitem a.cke_disabled:hover .cke_icon_wrapper,.cke_skin_kama .cke_menuitem a.cke_disabled:focus .cke_icon_wrapper,.cke_skin_kama .cke_menuitem a.cke_disabled:active .cke_icon_wrapper{\tbackground-color: $color !important;\tborder-color: $color !important;}.cke_skin_kama .cke_menuitem a.cke_disabled .cke_icon_wrapper{\tbackground-color: $color !important;\tborder-color: $color !important;}.cke_skin_kama .cke_menuseparator{\tbackground-color: $color !important;}.cke_skin_kama .cke_menuitem a:hover,.cke_skin_kama .cke_menuitem a:focus,.cke_skin_kama .cke_menuitem a:active{\tbackground-color: $color !important;}';if(CKEDITOR.env.webkit){f=f.split('}').slice(0,-1);for(var g=0;g<f.length;g++)f[g]=f[g].split('{');}function h(k){var l=k.getById(b);if(!l){l=k.getHead().append('style');l.setAttribute('id',b);l.setAttribute('type','text/css');}return l;};function i(k,l,m){var n,o,p;for(var q=0;q<k.length;q++){if(CKEDITOR.env.webkit)for(o=0;o<l.length;o++){p=l[o][1];for(n=0;n<m.length;n++)p=p.replace(m[n][0],m[n][1]);k[q].$.sheet.addRule(l[o][0],p);}else{p=l;for(n=0;n<m.length;n++)p=p.replace(m[n][0],m[n][1]);if(CKEDITOR.env.ie)k[q].$.styleSheet.cssText+=p;else k[q].$.innerHTML+=p;}}};var j=/\$color/g;CKEDITOR.tools.extend(c,{uiColor:null,getUiColor:function(){return this.uiColor;
},setUiColor:function(k){var l,m=h(CKEDITOR.document),n='.cke_editor_'+CKEDITOR.tools.escapeCssSelector(c.name),o=[n+' .cke_wrapper',n+'_dialog .cke_dialog_contents',n+'_dialog a.cke_dialog_tab',n+'_dialog .cke_dialog_footer'].join(','),p='background-color: $color !important;';if(CKEDITOR.env.webkit)l=[[o,p]];else l=o+'{'+p+'}';return(this.setUiColor=function(q){var r=[[j,q]];c.uiColor=q;i([m],l,r);i(d,f,r);})(k);}});c.on('menuShow',function(k){var l=k.data[0],m=l.element.getElementsByTag('iframe').getItem(0).getFrameDocument();if(!m.getById('cke_ui_color')){var n=h(m);d.push(n);var o=c.getUiColor();if(o)i([n],f,[[j,o]]);}});if(c.config.uiColor)c.setUiColor(c.config.uiColor);}};})());(function(){CKEDITOR.dialog?a():CKEDITOR.on('dialogPluginReady',a);function a(){CKEDITOR.dialog.on('resize',function(b){var c=b.data,d=c.width,e=c.height,f=c.dialog,g=f.parts.contents;if(c.skin!='kama')return;g.setStyles({width:d+'px',height:e+'px'});setTimeout(function(){var h=f.parts.dialog.getChild([0,0,0]),i=h.getChild(0),j=h.getChild(2);j.setStyle('width',i.$.offsetWidth+'px');j=h.getChild(7);j.setStyle('width',i.$.offsetWidth-28+'px');j=h.getChild(4);j.setStyle('height',i.$.offsetHeight-31-14+'px');j=h.getChild(5);j.setStyle('height',i.$.offsetHeight-31-14+'px');},100);});};})();
|
import { Editor } from 'slate-react'
import { Value } from 'slate'
import React from 'react'
import Video from './video'
import initialValueAsJson from './value.json'
/**
* Deserialize the initial editor value.
*
* @type {Object}
*/
const initialValue = Value.fromJSON(initialValueAsJson)
/**
* The images example.
*
* @type {Component}
*/
class Embeds extends React.Component {
/**
* The editor's schema.
*
* @type {Object}
*/
schema = {
blocks: {
video: {
isVoid: true,
},
},
}
/**
* Render the app.
*
* @return {Element} element
*/
render() {
return (
<Editor
placeholder="Enter some text..."
defaultValue={initialValue}
schema={this.schema}
renderNode={this.renderNode}
/>
)
}
/**
* Render a Slate node.
*
* @param {Object} props
* @param {Editor} editor
* @param {Function} next
*/
renderNode = (props, editor, next) => {
switch (props.node.type) {
case 'video':
return <Video {...props} />
default:
return next()
}
}
}
/**
* Export.
*/
export default Embeds
|
import { combineReducers } from 'redux';
import { CONFERENCE_FAILED, CONFERENCE_LEFT } from '../conference/actionTypes';
import { ReducerRegistry } from '../redux';
import { TRACK_REMOVED } from '../tracks/actionTypes';
import {
SET_AUDIO_AVAILABLE,
SET_AUDIO_MUTED,
SET_CAMERA_FACING_MODE,
SET_VIDEO_AVAILABLE,
SET_VIDEO_MUTED,
STORE_VIDEO_TRANSFORM,
TOGGLE_CAMERA_FACING_MODE
} from './actionTypes';
import { CAMERA_FACING_MODE } from './constants';
/**
* Media state object for local audio.
*
* @typedef {Object} AudioMediaState
* @property {boolean} muted=false - Audio muted state.
*/
// FIXME Technically, _AUDIO_INITIAL_MEDIA_STATE is a constant internal to the
// feature base/media and used in multiple files so it should be in
// constants.js. Practically though, AudioMediaState would then be used in
// multiple files as well so I don't know where and how to move it.
/**
* Initial state for local audio.
*
* @type {AudioMediaState}
*/
export const _AUDIO_INITIAL_MEDIA_STATE = {
available: true,
muted: false
};
/**
* Reducer for audio media state.
*
* @param {AudioMediaState} state - Media state of local audio.
* @param {Object} action - Action object.
* @param {string} action.type - Type of action.
* @private
* @returns {AudioMediaState}
*/
function _audio(state = _AUDIO_INITIAL_MEDIA_STATE, action) {
switch (action.type) {
case SET_AUDIO_AVAILABLE:
return {
...state,
available: action.available
};
case SET_AUDIO_MUTED:
return {
...state,
muted: action.muted
};
default:
return state;
}
}
/**
* Media state object for local video.
*
* @typedef {Object} VideoMediaState
* @property {CAMERA_FACING_MODE} facingMode='user' - Camera facing mode.
* @property {boolean} muted=false - Video muted state.
*/
// FIXME Technically, _VIDEO_INITIAL_MEDIA_STATE is a constant internal to the
// feature base/media and used in multiple files so it should be in
// constants.js. Practically though, VideoMediaState would then be used in
// multiple files as well so I don't know where and how to move it.
/**
* Initial state for video.
*
* @type {VideoMediaState}
*/
export const _VIDEO_INITIAL_MEDIA_STATE = {
available: true,
facingMode: CAMERA_FACING_MODE.USER,
muted: 0,
/**
* The video {@link Transform}s applied to {@code MediaStream}s by
* {@code id} i.e. "pinch to zoom".
*/
transforms: {}
};
/**
* Reducer for camera media state.
*
* @param {VideoMediaState} state - Media state of local video.
* @param {Object} action - Action object.
* @param {string} action.type - Type of action.
* @private
* @returns {VideoMediaState}
*/
function _video(state = _VIDEO_INITIAL_MEDIA_STATE, action) {
switch (action.type) {
case CONFERENCE_FAILED:
case CONFERENCE_LEFT:
return _clearAllVideoTransforms(state);
case SET_CAMERA_FACING_MODE:
return {
...state,
facingMode: action.cameraFacingMode
};
case SET_VIDEO_AVAILABLE:
return {
...state,
available: action.available
};
case SET_VIDEO_MUTED:
return {
...state,
muted: action.muted
};
case STORE_VIDEO_TRANSFORM:
return _storeVideoTransform(state, action);
case TOGGLE_CAMERA_FACING_MODE: {
let cameraFacingMode = state.facingMode;
cameraFacingMode
= cameraFacingMode === CAMERA_FACING_MODE.USER
? CAMERA_FACING_MODE.ENVIRONMENT
: CAMERA_FACING_MODE.USER;
return {
...state,
facingMode: cameraFacingMode
};
}
case TRACK_REMOVED:
return _trackRemoved(state, action);
default:
return state;
}
}
/**
* Listen for various actions related to media devices.
*
* @param {Object} state - State of media devices.
* @param {Object} action - Action object.
* @param {string} action.type - Type of action.
* @param {Object} action.media - Information about media devices to be
* modified.
* @returns {Object}
*/
ReducerRegistry.register('features/base/media', combineReducers({
audio: _audio,
video: _video
}));
/**
* Removes all stored video {@link Transform}s.
*
* @param {Object} state - The {@code video} state of the feature base/media.
* @private
* @returns {Object}
*/
function _clearAllVideoTransforms(state) {
return {
...state,
transforms: _VIDEO_INITIAL_MEDIA_STATE.transforms
};
}
/**
* Stores the last applied transform to a stream.
*
* @param {Object} state - The {@code video} state of the feature base/media.
* @param {Object} action - The redux action {@link STORE_VIDEO_TRANSFORM}.
* @private
* @returns {Object}
*/
function _storeVideoTransform(state, { streamId, transform }) {
return {
...state,
transforms: {
...state.transforms,
[streamId]: transform
}
};
}
/**
* Removes the stored video {@link Transform} associated with a
* {@code MediaStream} when its respective track is removed.
*
* @param {Object} state - The {@code video} state of the feature base/media.
* @param {Object} action - The redux action {@link TRACK_REMOVED}.
* @private
* @returns {Object}
*/
function _trackRemoved(state, { track: { jitsiTrack } }) {
if (jitsiTrack) {
const streamId = jitsiTrack.getStreamId();
if (streamId && streamId in state.transforms) {
const nextTransforms = {
...state.transforms
};
delete nextTransforms[streamId];
return {
...state,
transforms: nextTransforms
};
}
}
return state;
}
|
import React, {useState, useEffect} from 'react';
import './LocalWeatherReport.scss';
import { CITIES_API_URL } from '../../utils/constants';
import { CitiesSelect, CurrentWeather, HourlyWeather, WeekWeather } from '../../components';
const LocalWeatherReport = () => {
const [cities, setCities] = useState([]);
const [city, setCity] = useState('');
const [celsius, setCelsius] = useState(true);
const [selectedDate, setSelectedDate] = useState('');
useEffect(() => {
const fetchCities = async () => {
const resp = await fetch(CITIES_API_URL);
const respCities = await resp.json();
setCities(respCities);
}
fetchCities();
}, []);
return (
<div className="container">
<CitiesSelect cities={cities} onCitiesSelect={setCity} />
{city &&
<CurrentWeather city={city} celsius={celsius} setCelsius={setCelsius} />
}
{city && selectedDate && selectedDate.length > 0 &&
<HourlyWeather city={city} date={selectedDate} celsius={celsius} />
}
{city &&
<WeekWeather city={city} celsius={celsius} setDate={setSelectedDate} />
}
</div>
);
}
export default LocalWeatherReport;
|
/*
postcss 配置文件
**/
module.exports = {
plugins: [
require('autoprefixer')
]
}
|
const bahasa = (prefix, sender) => {
return `*LISTA DE CODIGOS DE LINGUA*
*COD LINGUA*
sq Albanian
ar Arabic
hy Armenian
ca Catalan
zh Chinese
zh-cn Chinese (China)
zh-tw Chinese (Taiwan)
zh-yue Chinese (Cantonese)
hr Croatian
cs Czech
da Danish
nl Dutch
en English
en-au English (Australia)
en-uk English (United Kingdom)
en-us English (United States)
eo Esperanto
fi Finnish
fr French
de German
el Greek
ht Haitian Creole
hi Hindi
hu Hungarian
is Icelandic
id Indonesian
it Italian
ja Japanese
ko Korean
la Latin
lv Latvian
mk Macedonian
no Norwegian
pl Polish
pt Portuguese
pt-br Portuguese (Brazil)
ro Romanian
ru Russian
sr Serbian
sk Slovak
es Spanish
es-es Spanish (Spain)
es-us Spanish (United States)
sw Swahili
sv Swedish
ta Tamil
th Thai
tr Turkish
vi Vietnamese
cy Welsh`
}
exports.bahasa = bahasa
|
from pymatgen.symmetry.analyzer import SpacegroupAnalyzer, SpacegroupOperations, PointGroupAnalyzer
from pymatgen.util.coord import coord_list_mapping_pbc, coord_list_mapping
from pymatgen import Lattice, Structure, Composition, Molecule
from bsym import SpaceGroup, SymmetryOperation, ConfigurationSpace, PointGroup
from copy import copy
from functools import partial
import numpy as np
def structure_cartesian_coordinates_mapping( structure, symmop ):
"""
Maps the coordinates of pymatgen ``Structure`` according to a ``SymmOp`` symmetry operation.
Args:
structure (``Structure``): The pymatgen ``Structure``.
symmop (``SymmOp``): The pymatgen symmetry operation object.
Returns
(np.array): The mapped Cartesian coordinates.
"""
return structure.lattice.get_cartesian_coords( symmop.operate_multi( structure.frac_coords ) )
def molecule_cartesian_coordinates_mapping( molecule, symmop ):
"""
Maps the coordinates of pymatgen ``Molecule`` according to a ``SymmOp`` symmetry operation.
Args:
molecule (``Structure``): The pymatgen ``Molecule``.
symmop (``SymmOp``): The pymatgen symmetry operation object.
Returns
(np.array): The mapped Cartesian coordinates.
"""
return symmop.operate_multi( molecule.cart_coords )
def structure_mapping_list( new_structure, mapping_structure, atol ):
"""
Gives the index mapping between two pymatgen ``Structure`` objects.
Args:
new_structure (``Structure``):
mapping_structure (``Structure``):
Returns:
list of indices such that mapping_structure.sites[indices] == new_structure.sites
"""
return coord_list_mapping_pbc( new_structure.frac_coords, mapping_structure.frac_coords, atol=atol )
def molecule_mapping_list( new_molecule, mapping_molecule, atol ):
"""
Gives the index mapping between two pymatgen ``Molecule`` objects.
Args:
new_structure (``Molecule``):
mapping_structure (``Molecule``):
Returns:
list of indices such that mapping_molecule.sites[indices] == new_molecule.sites
"""
return coord_list_mapping( new_molecule.cart_coords, mapping_molecule.cart_coords, atol=atol )
def unique_symmetry_operations_as_vectors_from_structure( structure, verbose=False, subset=None, atol=1e-5 ):
"""
Uses `pymatgen`_ symmetry analysis to find the minimum complete set of symmetry operations for the space group of a structure.
Args:
structure (pymatgen ``Structure``): structure to be analysed.
subset (Optional [list]): list of atom indices to be used for generating the symmetry operations.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation.
Returns:
(list[list]): a list of lists, containing the symmetry operations as vector mappings.
.. _pymatgen:
http://pymatgen.org
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping_pbc
"""
if isinstance( structure, Structure ):
instantiate_structure = partial( Structure, lattice=structure.lattice, coords_are_cartesian=True )
coord_mapping = structure_cartesian_coordinates_mapping
mapping_list = structure_mapping_list
symmetry_analyzer = SpacegroupAnalyzer( structure )
if verbose:
print( "The space group for this structure is {}".format( symmetry_analyzer.get_space_group_symbol()) )
elif isinstance( structure, Molecule ):
instantiate_structure = Molecule
coord_mapping = molecule_cartesian_coordinates_mapping
mapping_list = molecule_mapping_list
symmetry_analyzer = PointGroupAnalyzer( structure, tolerance=atol )
if verbose:
print( "The point group for this structure is {}".format( symmetry_analyzer.get_pointgroup()) )
else:
raise ValueError( 'structure argument should be a Structure or Molecule object' )
symmetry_operations = symmetry_analyzer.get_symmetry_operations()
mappings = []
if subset:
species_subset = [ spec for i,spec in enumerate( structure.species ) if i in subset ]
cart_coords_subset = [ coord for i, coord in enumerate( structure.cart_coords ) if i in subset ]
mapping_structure = instantiate_structure( species=species_subset, coords=cart_coords_subset )
else:
mapping_structure = structure
for symmop in symmetry_operations:
cart_coords = coord_mapping( mapping_structure, symmop )
new_structure = instantiate_structure( species=mapping_structure.species, coords=cart_coords )
new_mapping = [ x+1 for x in list( mapping_list( new_structure, mapping_structure, atol ) ) ]
if new_mapping not in mappings:
mappings.append( new_mapping )
return mappings
def space_group_symbol_from_structure( structure ):
"""
Returns the symbol for the space group defined by this structure.
Args:
structure (pymatgen ``Structure``): The input structure.
Returns:
(str): The space group symbol.
"""
symmetry_analyzer = SpacegroupAnalyzer( structure )
symbol = symmetry_analyzer.get_space_group_symbol()
return symbol
def space_group_from_structure( structure, subset=None, atol=1e-5 ):
"""
Generates a ``SpaceGroup`` object from a `pymatgen` ``Structure``.
Args:
structure (pymatgen ``Structure``): structure to be used to define the :any:`SpaceGroup`.
subset (Optional [list]): list of atom indices to be used for generating the symmetry operations.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation.
Returns:
a new :any:`SpaceGroup` instance
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping_pbc
"""
mappings = unique_symmetry_operations_as_vectors_from_structure( structure, subset=subset, atol=atol )
symmetry_operations = [ SymmetryOperation.from_vector( m ) for m in mappings ]
return SpaceGroup( symmetry_operations=symmetry_operations )
def point_group_from_molecule( molecule, subset=None, atol=1e-5 ):
"""
Generates a ``PointGroup`` object from a `pymatgen` ``Molecule``.
Args:
molecule (pymatgen ``Molecule``): molecule to be used to define the :any:`PointGroup`.
subset (Optional [list]): list of atom indices to be used for generating the symmetry operations.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation.
Returns:
a new :any:`PointGroup` instance
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping
"""
molecule = Molecule( molecule.species, molecule.cart_coords - molecule.center_of_mass )
mappings = unique_symmetry_operations_as_vectors_from_structure( molecule, subset=subset, atol=atol )
symmetry_operations = [ SymmetryOperation.from_vector( m ) for m in mappings ]
return PointGroup( symmetry_operations=symmetry_operations )
def configuration_space_from_structure( structure, subset=None, atol=1e-5 ):
"""
Generate a ``ConfigurationSpace`` object from a `pymatgen` ``Structure``.
Args:
structure (pymatgen ``Structure``): structure to be used to define the :any:`ConfigurationSpace`.
subset (Optional [list]): list of atom indices to be used for generating the configuration space.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation.
Returns:
a new :any:`ConfigurationSpace` instance.
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping_pbc
"""
space_group = space_group_from_structure( structure, subset=subset, atol=atol )
if subset is None:
subset = list( range( 1, len( structure )+1 ) )
config_space = ConfigurationSpace( objects=subset, symmetry_group=space_group )
return config_space
def configuration_space_from_molecule( molecule, subset=None, atol=1e-5 ):
"""
Generate a ``ConfigurationSpace`` object from a `pymatgen` ``Molecule``.
Args:
molecule (pymatgen ``Molecule``): molecule to be used to define the :any:`ConfigurationSpace`.
subset (Optional [list]): list of atom indices to be used for generating the configuration space.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation.
Returns:
a new :any:`ConfigurationSpace` instance.
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping
"""
molecule = Molecule( molecule.species, molecule.cart_coords - molecule.center_of_mass )
point_group = point_group_from_molecule( molecule, subset=subset, atol=atol )
if subset is None:
subset = list( range( 1, len( molecule )+1 ) )
config_space = ConfigurationSpace( objects=subset, symmetry_group=point_group )
return config_space
def unique_structure_substitutions( structure, to_substitute, site_distribution, verbose=False, atol=1e-5, show_progress=False ):
"""
Generate all symmetry-unique structures formed by substituting a set of sites in a `pymatgen` structure.
Args:
structure (pymatgen.Structure): The parent structure.
to_substitute (str): atom label for the sites to be substituted.
site_distribution (dict): A dictionary that defines the number of each substituting element.
verbose (bool): verbose output.
atol (Optional [float]): tolerance factor for the ``pymatgen`` `coordinate mapping`_ under each symmetry operation. Default=1e-5.
show_progress (opt:default=False): Show a progress bar.
Setting to `True` gives a simple progress bar.
Setting to `"notebook"` gives a Jupyter notebook compatible progress bar.
Returns:
(list[Structure]): A list of Structure objects for each unique substitution.
Notes:
The number of symmetry-equivalent configurations for each structure
is stored in the `number_of_equivalent_configurations` attribute.
If the parent structure was previously generated using this function
(as part of a sequence of substitutions) the full configuration
degeneracy of each symmetry inequivalent configuration is stored in
the `full_configuration_degeneracy` attribute. If the parent structure
is a standard Pymatgen Structure object, `number_of_equivalent_configurations`
and `full_configuration_degeneracy` will be equal.
.. _coordinate mapping:
http://pymatgen.org/pymatgen.util.coord_utils.html#pymatgen.util.coord_utils.coord_list_mapping_pbc
"""
site_substitution_index = list( structure.indices_from_symbol( to_substitute ) )
if len( site_substitution_index ) != sum( site_distribution.values() ):
raise ValueError( "Number of sites from index does not match number from site distribution" )
if isinstance( structure, Structure ):
config_space = configuration_space_from_structure( structure, subset=site_substitution_index, atol=atol )
elif isinstance( structure, Molecule ):
structure = Molecule( structure.species, structure.cart_coords - structure.center_of_mass )
config_space = configuration_space_from_molecule( structure, subset=site_substitution_index, atol=atol )
else:
raise ValueError( "pymatgen Structure or Molecule object expected" )
numeric_site_distribution, numeric_site_mapping = parse_site_distribution( site_distribution )
unique_configurations = config_space.unique_configurations( numeric_site_distribution, verbose=verbose, show_progress=show_progress )
new_structures = [ new_structure_from_substitution( structure, site_substitution_index, [ numeric_site_mapping[k] for k in c.tolist() ] ) for c in unique_configurations ]
if hasattr( structure, 'number_of_equivalent_configurations' ):
for s, c in zip( new_structures, unique_configurations ):
s.number_of_equivalent_configurations = c.count
s.full_configuration_degeneracy = c.count * structure.full_configuration_degeneracy
else:
for s, c in zip( new_structures, unique_configurations ):
s.number_of_equivalent_configurations = c.count
s.full_configuration_degeneracy = c.count
return new_structures
def parse_site_distribution( site_distribution ):
"""
Converts a site distribution using species labels into one using integer labels.
Args:
site_distribution (dict): e.g. `{ 'Mg': 1, 'Li': 3 }`
Returns:
numeric_site_distribution ( dict): e.g. `{ 1:1, 0:3 }`
numeric_site_mapping (dict): e.g. `{ 0:'Mg', 1:'Li' }`
"""
numeric_site_distribution = {}
numeric_site_mapping = {}
for i,k in enumerate( site_distribution.keys() ):
numeric_site_distribution[i] = site_distribution[k]
numeric_site_mapping[i] = k
return numeric_site_distribution, numeric_site_mapping
def new_structure_from_substitution( parent_structure, site_substitution_index, new_species_list ):
"""
Generate a new pymatgen ``Structure`` from site substitution parameters.
Args:
parent_structure (Structure): The parent pymatgen ``Struture`` object.
site_substitution_index (list[int]): The list of site indices to be substituted.
new_species_list (list[str]): A list of the replacement atomic species.
Returns:
(``Structure``): The new pymatgen ``Structure``.
Notes:
pymatgen ``Structure`` and ``Molecule`` classes both subclass ``SiteCollection``.
This function will also accept a parent ``Molecule`` object, and return a new
``Molecule``.
"""
if len( site_substitution_index ) != len( new_species_list ):
raise ValueError
if any( i >= len( parent_structure ) for i in site_substitution_index ):
raise ValueError
s = parent_structure.copy()
for i, spec in zip( site_substitution_index, new_species_list ):
s[i] = spec
return s
|
mycallback( {"ELECTION CODE": "G2010", "EXPENDITURE PURPOSE DESCRIP": "Shipping", "BENEFICIARY CANDIDATE OFFICE": "", "PAYEE ZIP": "92626", "MEMO CODE": "", "PAYEE STATE": "CA", "PAYEE LAST NAME": "BURNIAS", "PAYEE CITY": "Costa Mesa", "PAYEE SUFFIX": "", "CONDUIT STREET 2": "", "CONDUIT STREET 1": "", "PAYEE FIRST NAME": "CELESTE", "BACK REFERENCE SCHED NAME": "", "BENEFICIARY COMMITTEE NAME": "", "PAYEE PREFIX": "", "MEMO TEXT/DESCRIPTION": "", "FILER COMMITTEE ID NUMBER": "C00479352", "EXPENDITURE AMOUNT (F3L Bundled)": "90.40", "BENEFICIARY CANDIDATE MIDDLE NAME": "", "BENEFICIARY CANDIDATE LAST NAME": "", "_record_type": "fec.version.v7_0.SB", "PAYEE STREET 2": "", "PAYEE STREET 1": "1086 Mission Drive", "SEMI-ANNUAL REFUNDED BUNDLED AMT": "", "Reference to SI or SL system code that identifies the Account": "", "CONDUIT CITY": "", "ENTITY TYPE": "IND", "BENEFICIARY CANDIDATE FEC ID": "", "BENEFICIARY COMMITTEE FEC ID": "", "BENEFICIARY CANDIDATE STATE": "", "BENEFICIARY CANDIDATE FIRST NAME": "", "PAYEE MIDDLE NAME": "", "ELECTION OTHER DESCRIPTION": "", "_src_file": "2011/20110411/721738.fec_2.yml", "CONDUIT STATE": "", "CATEGORY CODE": "001", "EXPENDITURE PURPOSE CODE": "", "BENEFICIARY CANDIDATE DISTRICT": "", "TRANSACTION ID NUMBER": "EXPB27462", "BACK REFERENCE TRAN ID NUMBER": "", "EXPENDITURE DATE": "20101021", "BENEFICIARY CANDIDATE PREFIX": "", "CONDUIT NAME": "", "PAYEE ORGANIZATION NAME": "", "BENEFICIARY CANDIDATE SUFFIX": "", "CONDUIT ZIP": "", "FORM TYPE": "SB17"});
|
import React from 'react';
import { TextInput } from '@patternfly/react-core';
import PropTypes from 'prop-types';
import { useFieldApi } from '@data-driven-forms/react-form-renderer';
import FormGroup from '../form-group/form-group';
import showError from '../show-error/show-error';
const DatePicker = (props) => {
const {
label,
isRequired,
helperText,
meta,
validateOnMount,
description,
hideLabel,
input,
isReadOnly,
isDisabled,
id,
FormGroupProps,
...rest
} = useFieldApi(props);
return (
<FormGroup
label={label}
isRequired={isRequired}
helperText={helperText}
meta={meta}
validateOnMount={validateOnMount}
description={description}
hideLabel={hideLabel}
id={id || input.name}
FormGroupProps={FormGroupProps}
>
<TextInput
{...input}
{...showError(meta, validateOnMount)}
{...rest}
type="date"
id={id || input.name}
isReadOnly={isReadOnly}
isDisabled={isDisabled}
/>
</FormGroup>
);
};
DatePicker.propTypes = {
label: PropTypes.node,
validateOnMount: PropTypes.bool,
isReadOnly: PropTypes.bool,
isRequired: PropTypes.bool,
helperText: PropTypes.node,
description: PropTypes.node,
hideLabel: PropTypes.bool,
isDisabled: PropTypes.bool,
id: PropTypes.string,
FormGroupProps: PropTypes.object
};
export default DatePicker;
|
const router = require('express').Router();
const { User } = require('../../models');
router.post('/', async (req, res) => {
try {
const userData = await User.create(req.body);
req.session.save(() => {
req.session.user_id = userData.id;
req.session.logged_in = true;
res.status(200).json(userData);
});
} catch (err) {
res.status(400).json(err);
}
});
router.post('/login', async (req, res) => {
try {
const userData = await User.findOne({ where: { username: req.body.username } });
if (!userData) {
res
.status(400)
.json({ message: 'Incorrect user name or password, please try again' });
return;
}
const validPassword = await userData.checkPassword(req.body.password);
if (!validPassword) {
res
.status(400)
.json({ message: 'Incorrect user name or password, please try again' });
return;
}
req.session.save(() => {
req.session.user_id = userData.id;
req.session.logged_in = true;
res.json({ user: userData, message: 'You are now logged in.' });
});
} catch (err) {
res.status(400).json(err);
}
});
router.post('/logout', (req, res) => {
if (req.session.logged_in) {
req.session.destroy(() => {
res.status(204).end();
});
} else {
res.status(404).end();
}
});
module.exports = router; |
'use strict';
// alert('I work');
// console.log('app.js in the house');
document.addEventListener('DOMContentLoaded', () => {
const themeStylesheet = document.getElementById('theme');
const storedTheme = localStorage.getItem('theme');
console.log(storedTheme);
if(storedTheme){
themeStylesheet.href = storedTheme;
}
const themeToggle = document.getElementById('theme-toggle');
themeToggle.addEventListener('click', () => {
if(themeStylesheet.href.includes('light')){
themeStylesheet.href = '/dark-theme.css';
themeToggle.innerText = 'Switch Mode';
} else {
themeStylesheet.href = '/light-theme.css';
themeToggle.innerText = 'Switch Mode';
}
localStorage.setItem('theme', themeStylesheet.href)
})
})
|
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World from Flask in a uWSGI Nginx Docker container with \
Python 2.7 (default)"
if __name__ == "__main__":
app.run(host='0.0.0.0', port=9000)
|
// ----------------------------------------------------------------------------
// markItUp!
// ----------------------------------------------------------------------------
// Copyright (C) 2008 Jay Salvat
// http://markitup.jaysalvat.com/
// ----------------------------------------------------------------------------
// Html tags
// http://en.wikipedia.org/wiki/html
// ----------------------------------------------------------------------------
// Basic set. Feel free to add more tags
// ----------------------------------------------------------------------------
myhtmlSettings = {
nameSpace: "html", // Useful to prevent multi-instances CSS conflict
onShiftEnter: {keepDefault:false, replaceWith:'<br />\n'},
onCtrlEnter: {keepDefault:false, openWith:'\n<p>', closeWith:'</p>\n'},
onTab: {keepDefault:false, openWith:' '},
markupSet: [
{name:'Heading 1', key:'1', openWith:'<h1(!( class="[![Class]!]")!)>', closeWith:'</h1>', placeHolder:'Your title here...' },
{name:'Heading 2', key:'2', openWith:'<h2(!( class="[![Class]!]")!)>', closeWith:'</h2>', placeHolder:'Your title here...' },
{name:'Heading 3', key:'3', openWith:'<h3(!( class="[![Class]!]")!)>', closeWith:'</h3>', placeHolder:'Your title here...' },
{name:'Heading 4', key:'4', openWith:'<h4(!( class="[![Class]!]")!)>', closeWith:'</h4>', placeHolder:'Your title here...' },
{name:'Heading 5', key:'5', openWith:'<h5(!( class="[![Class]!]")!)>', closeWith:'</h5>', placeHolder:'Your title here...' },
{name:'Heading 6', key:'6', openWith:'<h6(!( class="[![Class]!]")!)>', closeWith:'</h6>', placeHolder:'Your title here...' },
{name:'Paragraph', openWith:'<p(!( class="[![Class]!]")!)>', closeWith:'</p>' },
{separator:'---------------' },
{name:'Bold', key:'B', openWith:'(!(<strong>|!|<b>)!)', closeWith:'(!(</strong>|!|</b>)!)' },
{name:'Italic', key:'I', openWith:'(!(<em>|!|<i>)!)', closeWith:'(!(</em>|!|</i>)!)' },
{name:'Stroke through', key:'S', openWith:'<del>', closeWith:'</del>' },
{separator:'---------------' },
{name:'Ul', openWith:'<ul>\n', closeWith:'</ul>\n' },
{name:'Ol', openWith:'<ol>\n', closeWith:'</ol>\n' },
{name:'Li', openWith:'<li>', closeWith:'</li>' },
{separator:'---------------' },
{name:'Picture', key:'P', replaceWith:'<img src="[![Source:!:http://]!]" alt="[![Alternative text]!]" />' },
{name:'Link', key:'L', openWith:'<a href="[![Link:!:http://]!]"(!( title="[![Title]!]")!)>', closeWith:'</a>', placeHolder:'Your text to link...' },
{separator:'---------------' },
{name:'Clean', className:'clean', replaceWith:function(markitup) { return markitup.selection.replace(/<(.*?)>/g, "") } },
{name:'Preview', className:'preview', call:'preview' }
]
} |
module.exports={A:{A:{"2":"K C G E B A WB"},B:{"2":"D u Y I M H"},C:{"1":"0 1 2 3 4 5 6 7 Z a b c d e f L h i j k l m n o p q r s t y v","2":"UB z F J K C G E B A D u Y I M H N O P Q R S T U V W X w SB RB"},D:{"1":"0 1 2 3 4 5 6 7 e f L h i j k l m n o q r s t y v GB g DB VB EB","2":"F J K C G E B A D u Y I M H N O P Q R S T U V W X w Z a b c d","260":"p"},E:{"2":"F J K C FB AB HB IB","132":"G E B A JB KB LB MB"},F:{"1":"R S T U V W X w Z a b d e f L h i j k l m n o p q r s t","2":"8 9 E A D I M H N O P Q NB OB PB QB TB x","260":"c"},G:{"2":"AB CB BB XB YB ZB","132":"G A aB bB cB dB eB"},H:{"2":"fB"},I:{"1":"g","2":"z F gB hB iB jB BB kB lB"},J:{"2":"C B"},K:{"2":"8 9 B A D x","260":"L"},L:{"1":"g"},M:{"1":"v"},N:{"2":"B A"},O:{"1":"mB"},P:{"1":"F J"},Q:{"1":"nB"},R:{"1":"oB"}},B:4,C:"CSS background-blend-mode"};
|
import contextlib
import functools
import itertools
import shutil
import subprocess
import tempfile
import numpy as np
import pytest
from lightgbm import LGBMClassifier
from sklearn import datasets
from sklearn.base import clone
from sklearn.ensemble import forest
from sklearn.utils import shuffle
from sklearn.linear_model.base import LinearClassifierMixin
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC, NuSVC
from xgboost import XGBClassifier
from m2cgen import ast
def cmp_exprs(left, right):
"""Recursively compares two ast expressions."""
if isinstance(left, ast.VectorVal) and isinstance(right, ast.Expr):
left_exprs = left.exprs
right_exprs = right.exprs
assert len(left_exprs) == len(right_exprs)
for l, r in zip(left_exprs, right_exprs):
assert cmp_exprs(l, r)
return True
if not isinstance(left, ast.Expr) and not isinstance(right, ast.Expr):
if _is_float(left) and _is_float(right):
comp_res = np.isclose(left, right)
else:
comp_res = left == right
assert comp_res, str(left) + " != " + str(right)
return True
if isinstance(left, ast.Expr) and isinstance(right, ast.Expr):
assert isinstance(left, type(right)), (
"Expected instance of {}, received {}".format(
type(right), type(left)))
# Only compare attributes which don't start with __
attrs_to_compare = filter(
lambda attr_name: not attr_name.startswith('__'), dir(left))
for attr_name in attrs_to_compare:
assert cmp_exprs(
getattr(left, attr_name), getattr(right, attr_name))
return True
return False
def assert_code_equal(actual, expected):
assert actual.strip() == expected.strip()
def train_model_regression(estimator, test_fraction=0.1):
return _train_model(estimator, datasets.load_boston(), test_fraction)
def train_model_classification(estimator, test_fraction=0.1):
return _train_model(estimator, datasets.load_iris(), test_fraction)
def train_model_classification_binary(estimator, test_fraction=0.1):
return _train_model(estimator, datasets.load_breast_cancer(),
test_fraction)
def train_model_regression_random_data(estimator, test_fraction=0.01):
np.random.seed(seed=7)
N = 1000
data = np.random.random(size=(N, 200))
target = np.random.random(size=(N, 1))
return _train_model(estimator, (data, target), test_fraction)
def train_model_classification_random_data(estimator, test_fraction=0.01):
np.random.seed(seed=7)
N = 1000
data = np.random.random(size=(N, 200))
target = np.random.randint(3, size=(N,))
return _train_model(estimator, (data, target), test_fraction)
def train_model_classification_binary_random_data(estimator,
test_fraction=0.01):
np.random.seed(seed=7)
N = 1000
data = np.random.random(size=(N, 200))
target = np.random.randint(2, size=(N,))
return _train_model(estimator, (data, target), test_fraction)
def _train_model(estimator, dataset, test_fraction):
if isinstance(dataset, tuple):
X, y = dataset
else:
X, y = shuffle(dataset.data, dataset.target, random_state=13)
offset = int(X.shape[0] * (1 - test_fraction))
X_train, y_train = X[:offset], y[:offset]
X_test = X[offset:]
estimator.fit(X_train, y_train)
if isinstance(estimator, (LinearClassifierMixin, SVC, NuSVC)):
y_pred = estimator.decision_function(X_test)
elif isinstance(estimator, DecisionTreeClassifier):
y_pred = estimator.predict_proba(X_test.astype(np.float32))
elif isinstance(
estimator,
(forest.ForestClassifier, XGBClassifier, LGBMClassifier)):
y_pred = estimator.predict_proba(X_test)
else:
y_pred = estimator.predict(X_test)
return X_test, y_pred
@contextlib.contextmanager
def tmp_dir():
dirpath = tempfile.mkdtemp()
try:
yield dirpath
finally:
shutil.rmtree(dirpath)
def verify_python_model_is_expected(model_code, input, expected_output):
input_str = "[" + ", ".join(map(str, input)) + "]"
code = model_code + """
result = score({})""".format(input_str)
context = {}
exec(code, context)
assert np.isclose(context["result"], expected_output)
def predict_from_commandline(exec_args):
result = subprocess.Popen(exec_args, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, stderr = result.communicate()
if result.returncode is not 0:
raise Exception("bad exit code ({}) stderr: {}".format(
result.returncode, stderr.decode("utf-8")))
items = stdout.decode("utf-8").strip().split(" ")
if len(items) == 1:
return float(items[0])
else:
return [float(i) for i in items]
def cartesian_e2e_params(executors_with_marks, models_with_trainers_with_marks,
*additional_params):
result_params = list(additional_params)
# Specifying None for additional parameters makes pytest to generate
# automatic ids. If we don't do this pytest will throw exception that
# number of parameters doesn't match number of provided ids
ids = [None] * len(additional_params)
prod = itertools.product(
executors_with_marks, models_with_trainers_with_marks)
for (executor, executor_mark), (model, trainer, trainer_mark) in prod:
# Since we reuse the same model across multiple tests we want it
# to be clean.
model = clone(model)
# We use custom id since pytest for some reason can't show name of
# the model in the automatic id. Which sucks.
ids.append("{} - {} - {}".format(
type(model).__name__, executor_mark.name, trainer.__name__))
result_params.append(pytest.param(
model, executor, trainer, marks=[executor_mark, trainer_mark],
))
param_names = "estimator,executor_cls,model_trainer"
def wrap(func):
@pytest.mark.parametrize(param_names, result_params, ids=ids)
@functools.wraps(func)
def inner(*args, **kwarg):
return func(*args, **kwarg)
return inner
return wrap
def _is_float(value):
return isinstance(value, (float, np.float16, np.float32, np.float64))
|
import app from 'firebase/app'
import 'firebase/auth'
import 'firebase/firestore'
import { firebaseConfig } from 'Config'
class Firebase {
constructor() {
app.initializeApp(firebaseConfig)
this.auth = app.auth()
}
async login(email, password) {
return await this.auth.signInWithEmailAndPassword(email, password)
}
async logout() {
await this.auth.signOut()
}
async register(name, email, password) {
const newUser = await this.auth.createUserWithEmailAndPassword(
email,
password
)
return await newUser.user.updateProfile({
displayName: name,
})
}
async resetPassword(email) {
await this.auth.sendPasswordResetEmail(email)
}
}
export const firebase = new Firebase()
|
//>>built
define("dojox/form/nls/ja/PasswordValidator",{nomatchMessage:"\u30d1\u30b9\u30ef\u30fc\u30c9\u304c\u4e00\u81f4\u3057\u307e\u305b\u3093\u3002",badPasswordMessage:"\u7121\u52b9\u306a\u30d1\u30b9\u30ef\u30fc\u30c9\u3067\u3059\u3002"});
//# sourceMappingURL=PasswordValidator.js.map |
/*
* Copyright (c) Microsoft Corporation. All rights reserved. Licensed under
* the MIT License. See LICENSE in the project root for license information.
* <autogenerated> This file was generated using AutoRest. </autogenerated>
*/
'use strict';
var util = require('util');
var msRest = require('ms-rest');
var WebResource = msRest.WebResource;
/**
* @class
* UserTopics
* __NOTE__: An instance of this class is automatically created for an
* instance of the SocialPlusClient.
* Initializes a new instance of the UserTopics class.
* @constructor
*
* @param {SocialPlusClient} client Reference to the service client.
*/
function UserTopics(client) {
this.client = client;
}
/**
* @summary Get user topics sorted by creation time
*
* @param {string} userHandle Handle of queried user
*
* @param {string} authorization Format is: "Scheme CredentialsList". Possible
* values are:
*
* - Anon AK=AppKey
*
* - SocialPlus TK=SessionToken
*
* - Facebook AK=AppKey|TK=AccessToken
*
* - Google AK=AppKey|TK=AccessToken
*
* - Twitter AK=AppKey|RT=RequestToken|TK=AccessToken
*
* - Microsoft AK=AppKey|TK=AccessToken
*
* - AADS2S AK=AppKey|[UH=UserHandle]|TK=AADToken
*
* @param {object} [options] Optional Parameters.
*
* @param {string} [options.cursor] Current read cursor
*
* @param {number} [options.limit] Number of items to return
*
* @param {object} [options.customHeaders] Headers that will be added to the
* request
*
* @param {function} callback
*
* @returns {function} callback(err, result, request, response)
*
* {Error} err - The Error object if an error occurred, null otherwise.
*
* {object} [result] - The deserialized result object.
* See {@link FeedResponseTopicView} for more information.
*
* {object} [request] - The HTTP Request object if an error did not occur.
*
* {stream} [response] - The HTTP Response stream if an error did not occur.
*/
UserTopics.prototype.getTopics = function (userHandle, authorization, options, callback) {
var client = this.client;
if(!callback && typeof options === 'function') {
callback = options;
options = null;
}
if (!callback) {
throw new Error('callback cannot be null.');
}
var cursor = (options && options.cursor !== undefined) ? options.cursor : undefined;
var limit = (options && options.limit !== undefined) ? options.limit : undefined;
// Validate
try {
if (userHandle === null || userHandle === undefined || typeof userHandle.valueOf() !== 'string') {
throw new Error('userHandle cannot be null or undefined and it must be of type string.');
}
if (cursor !== null && cursor !== undefined && typeof cursor.valueOf() !== 'string') {
throw new Error('cursor must be of type string.');
}
if (limit !== null && limit !== undefined && typeof limit !== 'number') {
throw new Error('limit must be of type number.');
}
if (authorization === null || authorization === undefined || typeof authorization.valueOf() !== 'string') {
throw new Error('authorization cannot be null or undefined and it must be of type string.');
}
} catch (error) {
return callback(error);
}
// Construct URL
var requestUrl = this.client.baseUri +
'//v0.7/users/{userHandle}/topics';
requestUrl = requestUrl.replace('{userHandle}', encodeURIComponent(userHandle));
var queryParameters = [];
if (cursor !== null && cursor !== undefined) {
queryParameters.push('cursor=' + encodeURIComponent(cursor));
}
if (limit !== null && limit !== undefined) {
queryParameters.push('limit=' + encodeURIComponent(limit.toString()));
}
if (queryParameters.length > 0) {
requestUrl += '?' + queryParameters.join('&');
}
// trim all duplicate forward slashes in the url
var regex = /([^:]\/)\/+/gi;
requestUrl = requestUrl.replace(regex, '$1');
// Create HTTP transport objects
var httpRequest = new WebResource();
httpRequest.method = 'GET';
httpRequest.headers = {};
httpRequest.url = requestUrl;
// Set Headers
if (authorization !== undefined && authorization !== null) {
httpRequest.headers['Authorization'] = authorization;
}
if(options) {
for(var headerName in options['customHeaders']) {
if (options['customHeaders'].hasOwnProperty(headerName)) {
httpRequest.headers[headerName] = options['customHeaders'][headerName];
}
}
}
httpRequest.headers['Content-Type'] = 'application/json; charset=utf-8';
httpRequest.body = null;
// Send Request
return client.pipeline(httpRequest, function (err, response, responseBody) {
if (err) {
return callback(err);
}
var statusCode = response.statusCode;
if (statusCode !== 200 && statusCode !== 400 && statusCode !== 401 && statusCode !== 404 && statusCode !== 500) {
var error = new Error(responseBody);
error.statusCode = response.statusCode;
error.request = msRest.stripRequest(httpRequest);
error.response = msRest.stripResponse(response);
if (responseBody === '') responseBody = null;
var parsedErrorResponse;
try {
parsedErrorResponse = JSON.parse(responseBody);
if (parsedErrorResponse) {
if (parsedErrorResponse.error) parsedErrorResponse = parsedErrorResponse.error;
if (parsedErrorResponse.code) error.code = parsedErrorResponse.code;
if (parsedErrorResponse.message) error.message = parsedErrorResponse.message;
}
} catch (defaultError) {
error.message = util.format('Error "%s" occurred in deserializing the responseBody ' +
'- "%s" for the default response.', defaultError.message, responseBody);
return callback(error);
}
return callback(error);
}
// Create Result
var result = null;
if (responseBody === '') responseBody = null;
// Deserialize Response
if (statusCode === 200) {
var parsedResponse = null;
try {
parsedResponse = JSON.parse(responseBody);
result = JSON.parse(responseBody);
if (parsedResponse !== null && parsedResponse !== undefined) {
var resultMapper = new client.models['FeedResponseTopicView']().mapper();
result = client.deserialize(resultMapper, parsedResponse, 'result');
}
} catch (error) {
var deserializationError = new Error(util.format('Error "%s" occurred in deserializing the responseBody - "%s"', error, responseBody));
deserializationError.request = msRest.stripRequest(httpRequest);
deserializationError.response = msRest.stripResponse(response);
return callback(deserializationError);
}
}
return callback(null, result, httpRequest, response);
});
};
/**
* @summary Get user topics sorted by popularity
*
* @param {string} userHandle Handle of queried user
*
* @param {string} authorization Format is: "Scheme CredentialsList". Possible
* values are:
*
* - Anon AK=AppKey
*
* - SocialPlus TK=SessionToken
*
* - Facebook AK=AppKey|TK=AccessToken
*
* - Google AK=AppKey|TK=AccessToken
*
* - Twitter AK=AppKey|RT=RequestToken|TK=AccessToken
*
* - Microsoft AK=AppKey|TK=AccessToken
*
* - AADS2S AK=AppKey|[UH=UserHandle]|TK=AADToken
*
* @param {object} [options] Optional Parameters.
*
* @param {number} [options.cursor] Current read cursor
*
* @param {number} [options.limit] Number of items to return
*
* @param {object} [options.customHeaders] Headers that will be added to the
* request
*
* @param {function} callback
*
* @returns {function} callback(err, result, request, response)
*
* {Error} err - The Error object if an error occurred, null otherwise.
*
* {object} [result] - The deserialized result object.
* See {@link FeedResponseTopicView} for more information.
*
* {object} [request] - The HTTP Request object if an error did not occur.
*
* {stream} [response] - The HTTP Response stream if an error did not occur.
*/
UserTopics.prototype.getPopularTopics = function (userHandle, authorization, options, callback) {
var client = this.client;
if(!callback && typeof options === 'function') {
callback = options;
options = null;
}
if (!callback) {
throw new Error('callback cannot be null.');
}
var cursor = (options && options.cursor !== undefined) ? options.cursor : undefined;
var limit = (options && options.limit !== undefined) ? options.limit : undefined;
// Validate
try {
if (userHandle === null || userHandle === undefined || typeof userHandle.valueOf() !== 'string') {
throw new Error('userHandle cannot be null or undefined and it must be of type string.');
}
if (cursor !== null && cursor !== undefined && typeof cursor !== 'number') {
throw new Error('cursor must be of type number.');
}
if (limit !== null && limit !== undefined && typeof limit !== 'number') {
throw new Error('limit must be of type number.');
}
if (authorization === null || authorization === undefined || typeof authorization.valueOf() !== 'string') {
throw new Error('authorization cannot be null or undefined and it must be of type string.');
}
} catch (error) {
return callback(error);
}
// Construct URL
var requestUrl = this.client.baseUri +
'//v0.7/users/{userHandle}/topics/popular';
requestUrl = requestUrl.replace('{userHandle}', encodeURIComponent(userHandle));
var queryParameters = [];
if (cursor !== null && cursor !== undefined) {
queryParameters.push('cursor=' + encodeURIComponent(cursor.toString()));
}
if (limit !== null && limit !== undefined) {
queryParameters.push('limit=' + encodeURIComponent(limit.toString()));
}
if (queryParameters.length > 0) {
requestUrl += '?' + queryParameters.join('&');
}
// trim all duplicate forward slashes in the url
var regex = /([^:]\/)\/+/gi;
requestUrl = requestUrl.replace(regex, '$1');
// Create HTTP transport objects
var httpRequest = new WebResource();
httpRequest.method = 'GET';
httpRequest.headers = {};
httpRequest.url = requestUrl;
// Set Headers
if (authorization !== undefined && authorization !== null) {
httpRequest.headers['Authorization'] = authorization;
}
if(options) {
for(var headerName in options['customHeaders']) {
if (options['customHeaders'].hasOwnProperty(headerName)) {
httpRequest.headers[headerName] = options['customHeaders'][headerName];
}
}
}
httpRequest.headers['Content-Type'] = 'application/json; charset=utf-8';
httpRequest.body = null;
// Send Request
return client.pipeline(httpRequest, function (err, response, responseBody) {
if (err) {
return callback(err);
}
var statusCode = response.statusCode;
if (statusCode !== 200 && statusCode !== 400 && statusCode !== 401 && statusCode !== 404 && statusCode !== 500) {
var error = new Error(responseBody);
error.statusCode = response.statusCode;
error.request = msRest.stripRequest(httpRequest);
error.response = msRest.stripResponse(response);
if (responseBody === '') responseBody = null;
var parsedErrorResponse;
try {
parsedErrorResponse = JSON.parse(responseBody);
if (parsedErrorResponse) {
if (parsedErrorResponse.error) parsedErrorResponse = parsedErrorResponse.error;
if (parsedErrorResponse.code) error.code = parsedErrorResponse.code;
if (parsedErrorResponse.message) error.message = parsedErrorResponse.message;
}
} catch (defaultError) {
error.message = util.format('Error "%s" occurred in deserializing the responseBody ' +
'- "%s" for the default response.', defaultError.message, responseBody);
return callback(error);
}
return callback(error);
}
// Create Result
var result = null;
if (responseBody === '') responseBody = null;
// Deserialize Response
if (statusCode === 200) {
var parsedResponse = null;
try {
parsedResponse = JSON.parse(responseBody);
result = JSON.parse(responseBody);
if (parsedResponse !== null && parsedResponse !== undefined) {
var resultMapper = new client.models['FeedResponseTopicView']().mapper();
result = client.deserialize(resultMapper, parsedResponse, 'result');
}
} catch (error) {
var deserializationError = new Error(util.format('Error "%s" occurred in deserializing the responseBody - "%s"', error, responseBody));
deserializationError.request = msRest.stripRequest(httpRequest);
deserializationError.response = msRest.stripResponse(response);
return callback(deserializationError);
}
}
return callback(null, result, httpRequest, response);
});
};
module.exports = UserTopics;
|
#!/usr/bin/env python3
# Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""
This script runs memcheck tests isolated with help of gtest_parallel. It can
upload memory measurment results to database and generate reports.
"""
import argparse
import json
import logging
import os
import subprocess
import sys
from glob import glob
from compare_memcheck_2_runs import compare_memcheck_2_runs, get_memcheck_records, get_db_memcheck_records
# Database arguments
from memcheck_upload import DATABASE, DB_COLLECTIONS
from memcheck_upload import create_memcheck_records, upload_memcheck_records, create_memcheck_report, \
metadata_from_manifest, info_from_test_config
def run(args, log=None, verbose=True):
""" Run command
"""
if log is None:
log = logging.getLogger('run_memcheck')
log_out = log.info if verbose else log.debug
log.info(f'========== cmd: {" ".join(args)}') # pylint: disable=logging-format-interpolation
proc = subprocess.Popen(args,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
encoding='utf-8',
universal_newlines=True)
output = []
for line in iter(proc.stdout.readline, ''):
log_out(line.strip('\n'))
output.append(line)
if line or proc.poll() is None:
continue
break
outs = proc.communicate()[0]
if outs:
log_out(outs.strip('\n'))
output.append(outs)
log.info('========== Completed. Exit code: %d', proc.returncode)
return proc.returncode, ''.join(output)
def json_load(path_or_string):
""" Load json as file or as string
"""
if os.path.isfile(path_or_string):
with open(path_or_string, 'r') as json_fp:
return json.load(json_fp)
else:
return json.loads(path_or_string)
def main():
"""Main entry point.
"""
# remove additional args (arguments after --)
binary_args = []
for idx, arg in enumerate(sys.argv):
if arg == '--':
binary_args = sys.argv[idx + 1:]
sys.argv = sys.argv[:idx]
break
init_parser = argparse.ArgumentParser(add_help=False)
init_parser.add_argument('--timeline_report',
help=f'create timeline HTML report file name')
init_parser.add_argument('--upload', action="store_true",
help=f'upload results to database')
init_parser.add_argument('--compare',
metavar='REFERENCE',
help='compare run with reference.'
' Should contain path to a folder with MemCheckTests logs or'
' query to request data from DB in "key=value[,key=value]" format')
args = init_parser.parse_known_args()[0]
parser = argparse.ArgumentParser(
description='Run memcheck tests',
usage='%(prog)s [options] binary -- [additional args]',
parents=[init_parser])
parser.add_argument('binary',
help='test binary to execute')
parser.add_argument('--gtest_parallel',
help='path to gtest-parallel to use',
default='gtest_parallel')
parser.add_argument('--timeout',
help='timeout for tests run within gtest-parallel',
default='')
parser.add_argument('-d', '--output_dir',
required=args.timeline_report or args.upload or args.compare,
help='output directory for test logs',
default='')
parser.add_argument('-w', '--workers',
help='number of gtest-parallel workers to spawn',
default='')
parser.add_argument('--db_url',
required=args.timeline_report or args.upload or
(args.compare and not os.path.isdir(args.compare)),
help='MongoDB URL in a form "mongodb://server:port"')
parser.add_argument('--db_collection',
required=args.timeline_report or args.upload,
help=f'use collection name in {DATABASE} database',
choices=DB_COLLECTIONS)
parser.add_argument('--manifest',
help=f'extract commit information from build manifest')
parser.add_argument('--metadata',
help=f'add extra commit information, json formated')
parser.add_argument('--strip_log_path',
metavar='REMOVE[,REPLACE]',
default='',
help='remove or replace parts of log path')
parser.add_argument('--ref_db_collection',
required=args.compare and not os.path.isdir(args.compare),
help=f'use collection name in {DATABASE} database to query reference data',
choices=DB_COLLECTIONS)
parser.add_argument('--comparison_report',
required=args.compare,
help='create comparison report file name')
args = parser.parse_args()
logging.basicConfig(format="{file} %(levelname)s: %(message)s".format(
file=os.path.basename(__file__)), level=logging.INFO, stream=sys.stdout)
if args.output_dir:
if not os.path.exists(args.output_dir):
os.makedirs(args.output_dir)
else:
if list(glob(os.path.join(args.output_dir, '**', '*.log'), recursive=True)):
logging.error(
'Output directory %s already has test logs. '
'Please specify an empty directory for output logs',
args.output_dir)
sys.exit(1)
return_code, _ = run([sys.executable, args.gtest_parallel,
'--output_dir', f'{args.output_dir}',
'--workers', f'{args.workers}',
'--timeout', f'{args.timeout}',
args.binary, '--'] + binary_args)
if args.upload or args.timeline_report or args.compare:
# prepare commit information
append = {}
if args.manifest:
append.update(metadata_from_manifest(args.manifest))
if args.metadata:
append.update(json_load(args.metadata))
# prepare memcheck records from logs
logs = list(glob(os.path.join(args.output_dir, '**', '*.log'), recursive=True))
strip = args.strip_log_path.split(',') + ['']
records = create_memcheck_records(logs, strip[1], strip[0], append=append)
logging.info('Prepared %d records', len(records))
if len(records) != len(logs):
logging.warning('Skipped %d logs of %d', len(logs) - len(records), len(logs))
# extend memcheck records with info from test config
test_conf_parser = argparse.ArgumentParser()
test_conf_parser.add_argument('--test_conf')
test_conf = test_conf_parser.parse_known_args(binary_args)[0].test_conf
if test_conf:
info = info_from_test_config(test_conf)
for record in records:
record.update(info.get(record["model_name"], {}))
# upload
if args.upload:
if records:
upload_memcheck_records(records, args.db_url, args.db_collection)
logging.info('Uploaded to %s/%s.%s', args.db_url, DATABASE, args.db_collection)
else:
logging.warning('No records to upload')
# create timeline report
if args.timeline_report:
try:
create_memcheck_report(records, args.db_url, args.db_collection, args.timeline_report)
logging.info('Created memcheck timeline report %s', args.timeline_report)
except Exception as ex:
logging.warning(f'Failed to create timeline report: {ex}')
# compare runs and prepare report
if args.compare:
if os.path.isdir(args.compare):
references = get_memcheck_records(source=args.compare)
else:
query = dict(item.split("=") for item in args.compare.split(","))
references = get_db_memcheck_records(query=query,
db_collection=args.ref_db_collection,
db_name=DATABASE, db_url=args.db_url)
compare_retcode = compare_memcheck_2_runs(cur_values=records, references=references,
output_file=args.comparison_report)
return_code = return_code if return_code else compare_retcode
sys.exit(return_code)
if __name__ == "__main__":
main()
|
# coding=utf-8
import logging
import random
import string
import sys
import unittest
from time import time, sleep
import apiritif
import os
import re
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException, TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support import expected_conditions as econd
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.keys import Keys
from bzt.resources.selenium_extras import add_logging_handlers, get_locator, dialogs_replace
class TestSample(unittest.TestCase):
def setUp(self):
self.vars = {}
timeout = 30.0
self.driver = None
options = webdriver.ChromeOptions()
options.add_argument('--no-sandbox')
options.add_argument('--disable-dev-shm-usage')
self.driver = webdriver.Chrome(service_log_path='/somewhere/webdriver.log', options=options)
self.driver.implicitly_wait(timeout)
add_logging_handlers()
apiritif.put_into_thread_store(timeout=timeout, func_mode=False, driver=self.driver, windows={},
scenario_name='sample')
def _1_Test(self):
with apiritif.smart_transaction('Test'):
apiritif.external_log('start: go(http://blazedemo.com/)')
self.driver.get('http://blazedemo.com/')
dialogs_replace()
apiritif.external_log('end: go(http://blazedemo.com/)')
apiritif.external_log('start: log(leaving blazedemo)')
apiritif.external_log('leaving blazedemo')
apiritif.external_log('end: log(leaving blazedemo)')
def test_sample(self):
self._1_Test()
def tearDown(self):
if self.driver:
self.driver.quit()
|
"use strict";
exports.__esModule = true;
exports.c_data_list_sm_BorderTopWidth = {
"name": "--pf-c-data-list--sm--BorderTopWidth",
"value": "1px",
"var": "var(--pf-c-data-list--sm--BorderTopWidth)"
};
exports["default"] = exports.c_data_list_sm_BorderTopWidth; |
/*
Copyright (c) 2003-2014, CKSource - Frederico Knabben. All rights reserved.
For licensing, see LICENSE.md or http://ckeditor.com/license
*/
(function(){CKEDITOR.plugins.add("placeholder",{requires:"widget,dialog",lang:"ar,bg,ca,cs,cy,da,de,el,en,en-gb,eo,es,et,eu,fa,fi,fr,fr-ca,gl,he,hr,hu,id,it,ja,km,ko,ku,lv,nb,nl,no,pl,pt,pt-br,ru,si,sk,sl,sq,sv,th,tr,ug,uk,vi,zh,zh-cn",icons:"placeholder",hidpi:!0,onLoad:function(){CKEDITOR.addCss(".cke_placeholder{background-color:#ff0}")},init:function(a){var b=a.lang.placeholder;CKEDITOR.dialog.add("placeholder",this.path+"dialogs/placeholder.js");a.widgets.add("placeholder",{dialog:"placeholder",
pathName:b.pathName,template:'<span class="cke_placeholder">[[]]</span>',downcast:function(){return new CKEDITOR.htmlParser.text("[["+this.data.name+"]]")},init:function(){this.setData("name",this.element.getText().slice(2,-2))},data:function(){this.element.setText("[["+this.data.name+"]]")}});a.ui.addButton&&a.ui.addButton("CreatePlaceholder",{label:b.toolbar,command:"placeholder",toolbar:"insert,5",icon:"placeholder"})},afterInit:function(a){var b=/\[\[([^\[\]])+\]\]/g;a.dataProcessor.dataFilter.addRules({text:function(d){return d.replace(b,
function(b){var c=null,c=new CKEDITOR.htmlParser.element("span",{"class":"cke_placeholder"});c.add(new CKEDITOR.htmlParser.text(b));c=a.widgets.wrapElement(c,"placeholder");return c.getOuterHtml()})}})}})})(); |
window.peopleAlsoBoughtJSON = [{"asin":"B00FQRCM9O","authors":"Mary Shelley","cover":"5127OtHzHuL","length":"8 hrs and 35 mins","narrators":"Dan Stevens","title":"Frankenstein"},{"asin":"B076FF3QGP","authors":"Robert Louis Stevenson","cover":"51NTweZY1fL","length":"3 hrs and 7 mins","narrators":"Richard Armitage","title":"The Strange Case of Dr Jekyll and Mr Hyde"},{"asin":"B01ATTZF38","authors":"Henry James","cover":"61k4Sv0VbqL","length":"4 hrs and 40 mins","narrators":"Emma Thompson, Richard Armitage - introduction","title":"The Turn of the Screw"},{"asin":"B0045KX2HY","authors":"Shirley Jackson","cover":"61l5j9SsYnL","length":"7 hrs and 27 mins","narrators":"Bernadette Dunne","title":"The Haunting of Hill House"},{"asin":"B01BNT4PWK","authors":"Jane Austen","cover":"51zMlFVsUfL","length":"14 hrs and 27 mins","narrators":"David Tennant, Benedict Cumberbatch, Julie McKenzie","subHeading":"Six BBC Radio Full-Cast Dramatisations","title":"The Jane Austen BBC Radio Drama Collection"},{"asin":"B0051JGU1S","authors":"Anne Rice","cover":"51qUED9EFhL","length":"14 hrs and 24 mins","narrators":"Simon Vance","title":"Interview with the Vampire"},{"asin":"B01G5UL6WE","authors":"Peter Anghelides, Dan Abnett, David Roden, and others","cover":"61lQB9NqZrL","length":"15 hrs and 11 mins","narrators":"Catherine Tate, David Tennant, Michelle Ryan","subHeading":"10th Doctor Audio Originals","title":"Doctor Who: 10th Doctor Tales"},{"asin":"B07PN7DPVD","authors":"H. G. Wells","cover":"51laMWkzHjL","length":"27 hrs and 15 mins","narrators":"Hugh Bonneville, Jason Isaacs, Sophie Okonedo, and others","title":"H.G. Wells: The Science Fiction Collection"},{"asin":"B016N4B2TO","authors":"Kym Gold, Sharon Soboil","cover":"51MEPjbkyEL","length":"4 hrs and 34 mins","narrators":"Fiona Duval","subHeading":"How to Rock the World and Run an Empire","title":"Gold Standard"},{"asin":"B06WLMWF2S","authors":"Arthur Conan Doyle, Stephen Fry - introductions","cover":"51T1NWIkR4L","length":"62 hrs and 52 mins","narrators":"Stephen Fry","title":"Sherlock Holmes"},{"asin":"B0035GXQPC","authors":"Neil Gaiman","cover":"51Qn6RWT3aL","length":"6 hrs and 23 mins","narrators":"Neil Gaiman","title":"Stardust"},{"asin":"B019WPM4ZM","authors":"Stephen King","cover":"41xThcH7SLL","length":"44 hrs and 55 mins","narrators":"Steven Weber","title":"It"},{"asin":"B0124YEC8U","authors":"Joseph Sheridan Le Fanu","cover":"51MWMU0kI9L","length":"12 hrs and 15 mins","narrators":"Nicholas Boulton, David Horovitch, Jonathan Keeble, and others","title":"In a Glass Darkly"},{"asin":"B004MNLNX4","authors":"Deborah Harkness","cover":"51BneK0KTqL","length":"23 hrs and 59 mins","narrators":"Jennifer Ikeda","subHeading":"A Novel","title":"A Discovery of Witches"},{"asin":"B002V8KYMI","authors":"Jim Butcher","cover":"51Nz4frJQmL","length":"8 hrs and 1 min","narrators":"James Marsters","subHeading":"The Dresden Files, Book 1","title":"Storm Front"},{"asin":"B00WRHY15Y","authors":"Sarah J. Maas","cover":"616QJxKRVLL","length":"16 hrs and 7 mins","narrators":"Jennifer Ikeda","title":"A Court of Thorns and Roses"},{"asin":"B002V1NG16","authors":"Philip Pullman","cover":"51YmKe6vt0S","length":"11 hrs and 42 mins","narrators":"Philip Pullman, Joanna Wyatt, Rupert Degas, and others","subHeading":"His Dark Materials, Book 1","title":"The Golden Compass"},{"asin":"B002VAA6ZQ","authors":"Stephenie Meyer","cover":"51YQvIE4ecL","length":"12 hrs and 51 mins","narrators":"Ilyana Kadushin","subHeading":"The Twilight Saga, Book 1","title":"Twilight"}];
window.bookSummaryJSON = "<p><b>FINALIST: The Audie Awards 2016</b> </p> <p>Audible Originals brings you a brand new audiobook adaptation of J. Sheridan Le Fanu’s classic gothic novella, <i>Carmilla</i> - starring Rose Leslie (<i>Game of Thrones</i> and <i>Downton Abbey</i>), David Tennant (<i>Doctor Who</i> and <i>Broadchurch</i>) and Phoebe Fox (<i>Life in Squares</i> and <i>The Woman in Black 2: Angel of Death</i>) </p> <p>One of the very first vampire thrillers, this audio adaptation follows 18-year-old Laura as she recounts the story of her mysterious, intriguing and beautiful house guest Carmilla, who is stranded in the forest after a carriage accident and taken in by Laura’s widowed father. The girls develop a friendship which turns into a passionate meeting of souls. A relationship of vampire and prey, the story is told through Laura’s eyes as she is drawn further into Carmilla’s terrifying world of pleasure and pain. </p> <p>A masterpiece of erotic Gothic horror, <i>Carmilla</i> encompasses mystery, suspense, forbidden lust, violence...and lots of blood.... </p> <p><i>Carmilla</i> has been dramatised by Robin Brooks, an actor, dramatist and author who has been working as a playwright for over 25 years. <i>Carmilla</i> was directed by Fiona McAlpine of Allegra Productions for Audible Originals. </p> <p>Key cast: </p> <li>Carmilla -Phoebe Fox </li> <li>Laura - Rose Leslie </li> <li>Dr Hesselius - David Tennant </li> <li>Father - James Wilby</li> <p></p>";
|
# Generated by Django 2.0.3 on 2018-03-16 04:19
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('schedules', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Task',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('task_name', models.CharField(max_length=50)),
('description', models.TextField()),
('task_to_day', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='schedules.Days')),
],
),
]
|
//This file is automatically rebuilt by the Speed3DGis build process.
class common{static theWord() {
return "#define PI 3.14159265359\n\
#define PI2 6.28318530718\n\
#define PI_HALF 1.5707963267949\n\
#define RECIPROCAL_PI 0.31830988618\n\
#define RECIPROCAL_PI2 0.15915494\n\
#define LOG2 1.442695\n\
#define EPSILON 1e-6\n\
\n\
#define saturate(a) clamp( a, 0.0, 1.0 )\n\
#define whiteCompliment(a) ( 1.0 - saturate( a ) )\n\
\n\
float pow2( const in float x ) { return x*x; }\n\
float pow3( const in float x ) { return x*x*x; }\n\
float pow4( const in float x ) { float x2 = x*x; return x2*x2; }\n\
float average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\n\
// expects values in the range of [0,1]x[0,1], returns values in the [0,1] range.\n\
// do not collapse into a single function per: http://byteblacksmith.com/improvements-to-the-canonical-one-liner-glsl-rand-for-opengl-es-2-0/\n\
highp float rand( const in vec2 uv ) {\n\
const highp float a = 12.9898, b = 78.233, c = 43758.5453;\n\
highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\n\
return fract(sin(sn) * c);\n\
}\n\
\n\
struct IncidentLight {\n\
vec3 color;\n\
vec3 direction;\n\
bool visible;\n\
};\n\
\n\
struct ReflectedLight {\n\
vec3 directDiffuse;\n\
vec3 directSpecular;\n\
vec3 indirectDiffuse;\n\
vec3 indirectSpecular;\n\
};\n\
\n\
struct GeometricContext {\n\
vec3 position;\n\
vec3 normal;\n\
vec3 viewDir;\n\
};\n\
\n\
vec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\
\n\
return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n\
\n\
}\n\
\n\
// http://en.wikibooks.org/wiki/GLSL_Programming/Applying_Matrix_Transformations\n\
vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\n\
\n\
return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\n\
\n\
}\n\
\n\
vec3 projectOnPlane(in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\
\n\
float distance = dot( planeNormal, point - pointOnPlane );\n\
\n\
return - distance * planeNormal + point;\n\
\n\
}\n\
\n\
float sideOfPlane( in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\
\n\
return sign( dot( point - pointOnPlane, planeNormal ) );\n\
\n\
}\n\
\n\
vec3 linePlaneIntersect( in vec3 pointOnLine, in vec3 lineDirection, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\
\n\
return lineDirection * ( dot( planeNormal, pointOnPlane - pointOnLine ) / dot( planeNormal, lineDirection ) ) + pointOnLine;\n\
\n\
}\n\
\n\
mat3 transposeMat3( const in mat3 m ) {\n\
\n\
mat3 tmp;\n\
\n\
tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\n\
tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\n\
tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\n\
\n\
return tmp;\n\
\n\
}\n\
\n\
// https://en.wikipedia.org/wiki/Relative_luminance\n\
float linearToRelativeLuminance( const in vec3 color ) {\n\
\n\
vec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\n\
\n\
return dot( weights, color.rgb );\n\
\n\
}\n\
";
}} export {common}; |
function calculateArray(ext) {
minElement = ext['min'];
maxElement = ext['max'];
}
function arrayExt(a) {
let tmpMin = 0;
let tmpMax = 0;
for (let i = 1; i < a.length; i++) {
if (a[i] < a[tmpMin])
tmpMin = i;
if (a[i] > a[tmpMax])
tmpMax = i;
}
return {
"min": a[tmpMin],
"max": a[tmpMax]
};
}
function randomArray(n, min, max) {
let a = [];
for (let i = 0; i < n; i++) {
a.push(random(min, max));
}
return a;
}
function orderedArray(n) {
let a = [];
for (let i = 1; i <= n; i++) {
a.push(i);
}
return a;
}
function shuffleArray(a) {
return shuffle(a);
}
|
/**
* Copyright IBM Corp. 2019, 2020
*
* This source code is licensed under the Apache-2.0 license found in the
* LICENSE file in the root directory of this source tree.
*
* Code generated by @carbon/icon-build-helpers. DO NOT EDIT.
*/
import { _ as _objectWithoutProperties, I as Icon, a as _extends } from '../Icon-7c760541.js';
import React from 'react';
import '@carbon/icon-helpers';
import 'prop-types';
var _path;
var TreeViewAlt20 = /*#__PURE__*/React.forwardRef(function TreeViewAlt20(_ref, ref) {
var children = _ref.children,
rest = _objectWithoutProperties(_ref, ["children"]);
return /*#__PURE__*/React.createElement(Icon, _extends({
width: 20,
height: 20,
viewBox: "0 0 32 32",
xmlns: "http://www.w3.org/2000/svg",
fill: "currentColor",
ref: ref
}, rest), _path || (_path = /*#__PURE__*/React.createElement("path", {
d: "M23,9h6a2,2,0,0,0,2-2V3a2,2,0,0,0-2-2H23a2,2,0,0,0-2,2V4H11V3A2,2,0,0,0,9,1H3A2,2,0,0,0,1,3V7A2,2,0,0,0,3,9H9a2,2,0,0,0,2-2V6h4V26a2.0023,2.0023,0,0,0,2,2h4v1a2,2,0,0,0,2,2h6a2,2,0,0,0,2-2V25a2,2,0,0,0-2-2H23a2,2,0,0,0-2,2v1H17V17h4v1a2,2,0,0,0,2,2h6a2,2,0,0,0,2-2V14a2,2,0,0,0-2-2H23a2,2,0,0,0-2,2v1H17V6h4V7A2,2,0,0,0,23,9Zm0-6h6V7H23ZM9,7H3V3H9ZM23,25h6v4H23Zm0-11h6v4H23Z",
transform: "translate(0 .005)"
})), children);
});
export default TreeViewAlt20;
|
"""Base Simulator
====================
This module contains the abstract definition of a simulator.
It has the definition of BaseSimulator, that should be extended,
implementing its abstract methods.
Example:
Creating a simulator::
class NewSimulator(BaseSimulator):
def compute_next_state(self, input):
self._dynamic_system.state_transition(input)
def compute_output(self):
return self._dynamic_system.get_output()
"""
from __future__ import annotations
from abc import abstractmethod
from gsf.core.events import EventBus, static_event_bus
from gsf.dynamic_system.core.base_dynamic_sytem import BaseDynamicSystem
from gsf.reports.core.base_report import BaseReport
class BaseSimulator:
"""Abstract simulator engine.
An simulator engine executes the state transition function of the dynamic
system, computes the output and reports it.
Attributes:
_dynamic_system (BaseDynamicSystem): Dynamic system to be simulated.
_is_output_up_to_update (bool): Indicates if the output was computed for that iteration.
_report_generator (BaseReport): Current report generator where engine saves the outputs.
_event_bus (EventBus): Event bus of the module.
"""
_dynamic_system: BaseDynamicSystem
"""Dynamic system to be simulated."""
_is_output_up_to_update: bool
"""Indicates if the output was computed for that iteration."""
_report_generator: BaseReport
"""Current report generator where engine saves the outputs."""
_event_bus: EventBus
"""Event bus of the module."""
def __init__(
self,
dynamic_system: BaseDynamicSystem,
base_generator: BaseReport,
event_bus: EventBus = None,
):
"""
Args:
dynamic_system (BaseDynamicSystem): Dynamic system to be simulated.
base_generator (BaseReport): Current report generator where engine saves the outputs.
event_bus (EventBus): Event bus for domain events.
"""
self._dynamic_system = dynamic_system
self._is_output_up_to_update = False
self._report_generator = base_generator
self._event_bus = event_bus or static_event_bus
@abstractmethod
def compute_next_state(self, *args, **kwargs):
"""Compute the next state of the dynamic system.
Args:
*args:
**kwargs:
"""
raise NotImplementedError
@abstractmethod
def compute_output(self):
"""Compute the output of the dynamic system if it has not computed
yet
"""
raise NotImplementedError
def init(self):
"""Initializes the simulator properties"""
self._is_output_up_to_update = False
|
DEVICE_ID=
ACCESS_TOKEN=
|
var DynProgr__PPU_8h =
[
[ "swps3_alignmentByteSPE", "DynProgr__PPU_8h.html#aca0438540693690c95f4545dd58baca4", null ],
[ "swps3_alignmentFloatSPE", "DynProgr__PPU_8h.html#a97412bfb0dcce968d991a4450d21516d", null ],
[ "swps3_alignmentProfileSPE", "DynProgr__PPU_8h.html#a13a4e863d8d5d81a91a0be0b02962f2c", null ],
[ "swps3_alignmentShortSPE", "DynProgr__PPU_8h.html#ab0551e4e19ec762c3351d43c05399d4b", null ],
[ "swps3_createProfileBytePPU", "DynProgr__PPU_8h.html#aa91aaf2e886a0c53c670e3981f2c38e2", null ],
[ "swps3_createProfileFloatPPU", "DynProgr__PPU_8h.html#abaecc5418398fd4762d95384bd49fdf9", null ],
[ "swps3_createProfileShortPPU", "DynProgr__PPU_8h.html#ab435a005da13de98198a4a8c03612d52", null ],
[ "swps3_freeProfilePPU", "DynProgr__PPU_8h.html#a8eb1f53e292bbffcf6e32513a02e0ccd", null ],
[ "swps3_loadProfileByte", "DynProgr__PPU_8h.html#a3393847287c648579a526a4afe0627f4", null ],
[ "swps3_loadProfileFloat", "DynProgr__PPU_8h.html#aac27821c465e4d29eba7b1f50a21cf54", null ],
[ "swps3_loadProfileShort", "DynProgr__PPU_8h.html#a9fd35b66ed0b4651a8e95d51513522a1", null ]
]; |
// Copyright 2009 the Sputnik authors. All rights reserved.
// This code is governed by the BSD license found in the LICENSE file.
/*---
info: Operator use ToInteger from start
esid: sec-array.prototype.slice
es5id: 15.4.4.10_A2.1_T2
description: start = NaN
---*/
var x = [0, 1, 2, 3, 4];
var arr = x.slice(NaN, 3);
//CHECK#1
arr.getClass = Object.prototype.toString;
if (arr.getClass() !== "[object " + "Array" + "]") {
$ERROR('#1: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr is Array object. Actual: ' + (arr.getClass()));
}
//CHECK#2
if (arr.length !== 3) {
$ERROR('#2: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr.length === 3. Actual: ' + (arr.length));
}
//CHECK#3
if (arr[0] !== 0) {
$ERROR('#3: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr[0] === 0. Actual: ' + (arr[0]));
}
//CHECK#4
if (arr[1] !== 1) {
$ERROR('#4: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr[1] === 1. Actual: ' + (arr[1]));
}
//CHECK#5
if (arr[2] !== 2) {
$ERROR('#5: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr[2] === 2. Actual: ' + (arr[2]));
}
//CHECK#6
if (arr[3] !== undefined) {
$ERROR('#6: var x = [0,1,2,3,4]; var arr = x.slice(NaN,3); arr[3] === undefined. Actual: ' + (arr[3]));
}
|
import torch
import warnings
from enum import IntEnum
from skimage import io
import numpy as np
from distutils.version import LooseVersion
from .utils import *
class LandmarksType(IntEnum):
"""Enum class defining the type of landmarks to detect.
``_2D`` - the detected points ``(x,y)`` are detected in a 2D space and follow the visible contour of the face
``_2halfD`` - this points represent the projection of the 3D points into 3D
``_3D`` - detect the points ``(x,y,z)``` in a 3D space
"""
_2D = 1
_2halfD = 2
_3D = 3
class NetworkSize(IntEnum):
# TINY = 1
# SMALL = 2
# MEDIUM = 3
LARGE = 4
default_model_urls = {
'2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4-cd938726ad.zip',
'3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4-4a694010b9.zip',
'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth-6c4283c0e0.zip',
}
models_urls = {
'1.6': {
'2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4_1.6-c827573f02.zip',
'3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4_1.6-ec5cf40a1d.zip',
'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth_1.6-2aa3f18772.zip',
},
'1.5': {
'2DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/2DFAN4_1.5-a60332318a.zip',
'3DFAN-4': 'https://www.adrianbulat.com/downloads/python-fan/3DFAN4_1.5-176570af4d.zip',
'depth': 'https://www.adrianbulat.com/downloads/python-fan/depth_1.5-bc10f98e39.zip',
},
}
class FaceAlignment:
def __init__(self, landmarks_type, network_size=NetworkSize.LARGE,
device='cuda', flip_input=False, face_detector='sfd', face_detector_kwargs=None, verbose=False):
self.device = device
self.flip_input = flip_input
self.landmarks_type = landmarks_type
self.verbose = verbose
if LooseVersion(torch.__version__) < LooseVersion('1.5.0'):
raise ImportError(f'Unsupported pytorch version detected. Minimum supported version of pytorch: 1.5.0\
Either upgrade (recommended) your pytorch setup, or downgrade to face-alignment 1.2.0')
network_size = int(network_size)
pytorch_version = torch.__version__
if 'dev' in pytorch_version:
pytorch_version = pytorch_version.rsplit('.', 2)[0]
else:
pytorch_version = pytorch_version.rsplit('.', 1)[0]
if 'cuda' in device:
torch.backends.cudnn.benchmark = True
# Get the face detector
face_detector_module = __import__('face_alignment.detection.' + face_detector,
globals(), locals(), [face_detector], 0)
face_detector_kwargs = face_detector_kwargs or {}
self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose, **face_detector_kwargs)
# Initialise the face alignemnt networks
if landmarks_type == LandmarksType._2D:
network_name = '2DFAN-' + str(network_size)
else:
network_name = '3DFAN-' + str(network_size)
self.face_alignment_net = torch.jit.load(
load_file_from_url(models_urls.get(pytorch_version, default_model_urls)[network_name]))
self.face_alignment_net.to(device)
self.face_alignment_net.eval()
# Initialiase the depth prediciton network
if landmarks_type == LandmarksType._3D:
self.depth_prediciton_net = torch.jit.load(
load_file_from_url(models_urls.get(pytorch_version, default_model_urls)['depth']))
self.depth_prediciton_net.to(device)
self.depth_prediciton_net.eval()
def get_landmarks(self, image_or_path, detected_faces=None, return_bboxes=False, return_landmark_score=False):
"""Deprecated, please use get_landmarks_from_image
Arguments:
image_or_path {string or numpy.array or torch.tensor} -- The input image or path to it
Keyword Arguments:
detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
in the image (default: {None})
return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
"""
return self.get_landmarks_from_image(image_or_path, detected_faces, return_bboxes, return_landmark_score)
@torch.no_grad()
def get_landmarks_from_image(self, image_or_path, detected_faces=None, return_bboxes=False, return_landmark_score=True):
"""Predict the landmarks for each face present in the image.
This function predicts a set of 68 2D or 3D images, one for each image present.
If detect_faces is None the method will also run a face detector.
Arguments:
image_or_path {string or numpy.array or torch.tensor} -- The input image or path to it.
Keyword Arguments:
detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
in the image (default: {None})
return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
Return:
result:
1. if both return_bboxes and return_landmark_score are False, result will be:
landmark
2. Otherwise, result will be one of the following, depending on the actual value of return_* arguments.
(landmark, landmark_score, detected_face)
(landmark, None, detected_face)
(landmark, landmark_score, None )
"""
image = get_image(image_or_path)
if detected_faces is None:
detected_faces = self.face_detector.detect_from_image(image.copy())
if len(detected_faces) == 0:
warnings.warn("No faces were detected.")
if return_bboxes or return_landmark_score:
return None, None, None
else:
return None
landmarks = []
landmarks_scores = []
for i, d in enumerate(detected_faces):
center = torch.tensor(
[d[2] - (d[2] - d[0]) / 2.0, d[3] - (d[3] - d[1]) / 2.0])
center[1] = center[1] - (d[3] - d[1]) * 0.12
scale = (d[2] - d[0] + d[3] - d[1]) / self.face_detector.reference_scale
inp = crop(image, center, scale)
inp = torch.from_numpy(inp.transpose(
(2, 0, 1))).float()
inp = inp.to(self.device)
inp.div_(255.0).unsqueeze_(0)
out = self.face_alignment_net(inp).detach()
if self.flip_input:
out += flip(self.face_alignment_net(flip(inp)).detach(), is_label=True)
out = out.cpu().numpy()
pts, pts_img, scores = get_preds_fromhm(out, center.numpy(), scale)
pts, pts_img = torch.from_numpy(pts), torch.from_numpy(pts_img)
pts, pts_img = pts.view(68, 2) * 4, pts_img.view(68, 2)
scores = scores.squeeze(0)
if self.landmarks_type == LandmarksType._3D:
heatmaps = np.zeros((68, 256, 256), dtype=np.float32)
for i in range(68):
if pts[i, 0] > 0 and pts[i, 1] > 0:
heatmaps[i] = draw_gaussian(
heatmaps[i], pts[i], 2)
heatmaps = torch.from_numpy(
heatmaps).unsqueeze_(0)
heatmaps = heatmaps.to(self.device)
depth_pred = self.depth_prediciton_net(
torch.cat((inp, heatmaps), 1)).data.cpu().view(68, 1)
pts_img = torch.cat(
(pts_img, depth_pred * (1.0 / (256.0 / (200.0 * scale)))), 1)
landmarks.append(pts_img.numpy())
landmarks_scores.append(scores)
if not return_bboxes:
detected_faces = None
if not return_landmark_score:
landmarks_scores = None
if return_bboxes or return_landmark_score:
return landmarks, landmarks_scores, detected_faces
else:
return landmarks
@torch.no_grad()
def get_landmarks_from_batch(self, image_batch, detected_faces=None, return_bboxes=False,
return_landmark_score=False):
"""Predict the landmarks for each face present in the image.
This function predicts a set of 68 2D or 3D images, one for each image in a batch in parallel.
If detect_faces is None the method will also run a face detector.
Arguments:
image_batch {torch.tensor} -- The input images batch
Keyword Arguments:
detected_faces {list of numpy.array} -- list of bounding boxes, one for each face found
in the image (default: {None})
return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
Return:
result:
1. if both return_bboxes and return_landmark_score are False, result will be:
landmarks
2. Otherwise, result will be one of the following, depending on the actual value of return_* arguments.
(landmark, landmark_score, detected_face)
(landmark, None, detected_face)
(landmark, landmark_score, None )
"""
if detected_faces is None:
detected_faces = self.face_detector.detect_from_batch(image_batch)
if len(detected_faces) == 0:
warnings.warn("No faces were detected.")
if return_bboxes or return_landmark_score:
return None, None, None
else:
return None
landmarks = []
landmarks_scores_list = []
# A batch for each frame
for i, faces in enumerate(detected_faces):
res = self.get_landmarks_from_image(
image_batch[i].cpu().numpy().transpose(1, 2, 0),
detected_faces=faces,
return_landmark_score=return_landmark_score,
)
if return_landmark_score:
landmark_set, landmarks_scores, _ = res
landmarks_scores_list.append(landmarks_scores)
else:
landmark_set = res
# Bacward compatibility
if landmark_set is not None:
landmark_set = np.concatenate(landmark_set, axis=0)
else:
landmark_set = []
landmarks.append(landmark_set)
if not return_bboxes:
detected_faces = None
if not return_landmark_score:
landmarks_scores_list = None
if return_bboxes or return_landmark_score:
return landmarks, landmarks_scores_list, detected_faces
else:
return landmarks
def get_landmarks_from_directory(self, path, extensions=['.jpg', '.png'], recursive=True, show_progress_bar=True,
return_bboxes=False, return_landmark_score=False):
"""Scan a directory for images with a given extension type(s) and predict the landmarks for each
face present in the images found.
Arguments:
path {str} -- path to the target directory containing the images
Keyword Arguments:
extensions {list of str} -- list containing the image extensions considered (default: ['.jpg', '.png'])
recursive {boolean} -- If True, scans for images recursively (default: True)
show_progress_bar {boolean} -- If True displays a progress bar (default: True)
return_bboxes {boolean} -- If True, return the face bounding boxes in addition to the keypoints.
return_landmark_score {boolean} -- If True, return the keypoint scores along with the keypoints.
"""
detected_faces = self.face_detector.detect_from_directory(path, extensions, recursive, show_progress_bar)
predictions = {}
for image_path, bounding_boxes in detected_faces.items():
image = io.imread(image_path)
if return_bboxes or return_landmark_score:
preds, bbox, score = self.get_landmarks_from_image(
image, bounding_boxes, return_bboxes=return_bboxes, return_landmark_score=return_landmark_score)
predictions[image_path] = (preds, bbox, score)
else:
preds = self.get_landmarks_from_image(image, bounding_boxes)
predictions[image_path] = preds
return predictions
|
from architecture.crowd_count import CrowdCounter
import architecture.network as network
from manage_data.utils import mkdir_if_missing as mkdir_if_missing
from architecture.utils import save_results as save_results
import numpy as np
import torch
def evaluate_model(trained_model, data_loader, save_test_results = False, plot_save_dir = "/tmp/"):
net = CrowdCounter()
network.load_net(trained_model, net)
net.cuda()
net.eval()
mae = 0.0
mse = 0.0
for blob in data_loader:
im_data = blob['data']
gt_data = blob['gt_density']
idx_data = blob['idx']
im_data_norm = im_data / 255.0
density_map = net(im_data_norm, gt_data)
density_map = density_map.data.cpu().numpy()
gt_count = np.sum(gt_data)
et_count = np.sum(density_map)
mae += abs(gt_count-et_count)
mse += ((gt_count-et_count)*(gt_count-et_count))
if save_test_results:
print("Plotting results")
mkdir_if_missing(plot_save_dir)
save_results(im_data, gt_data, density_map, idx_data, plot_save_dir)
mae = mae/data_loader.get_num_samples()
mse = np.sqrt(mse/data_loader.get_num_samples())
return mae,mse
|
import { testHandler } from '@core/utils/test'
import { expect } from 'chai'
import create from './create'
describe('src/apps/team/admin/api/users/create.js', () => {
})
|
"use strict";
function __export(m) {
for (var p in m) if (!exports.hasOwnProperty(p)) exports[p] = m[p];
}
var __importStar = (this && this.__importStar) || function (mod) {
if (mod && mod.__esModule) return mod;
var result = {};
if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) result[k] = mod[k];
result["default"] = mod;
return result;
};
Object.defineProperty(exports, "__esModule", { value: true });
const codeCell = __importStar(require("./code-cell"));
const markdownCell = __importStar(require("./markdown-cell"));
const rawCell = __importStar(require("./raw-cell"));
__export(require("./code-cell"));
__export(require("./markdown-cell"));
__export(require("./raw-cell"));
/**
* Turn any output that was in nbformat into a record
*/
function cellFromNbformat(cell) {
switch (cell.cell_type) {
case codeCell.CODECELL:
return codeCell.codeCellRecordFromNbformat(cell);
case markdownCell.MARKDOWNCELL:
return markdownCell.markdownCellRecordFromNbformat(cell);
case rawCell.RAWCELL:
return rawCell.rawCellRecordFromNbformat(cell);
default:
throw new TypeError(`Cell type unknown`);
}
}
exports.cellFromNbformat = cellFromNbformat;
|
function products_onselect(args) {
if (args.value != "") {
$('#ProductID').val(args.value)
}
}; |
/**
*
* @param role
* @param url
* @returns {Function}
*/
export default function (role, url) {
return function (req, res, next) {
if (req.user.role() !== role) {
res.redirect(url);
return;
}
next();
};
}
|
"""STIX 2.1 Relationship Objects."""
from collections import OrderedDict
from ..properties import (
BooleanProperty, IDProperty, IntegerProperty, ListProperty,
ReferenceProperty, StringProperty, TimestampProperty, TypeProperty,
)
from ..utils import NOW
from .base import _RelationshipObject
from .common import ExternalReference, GranularMarking
class Relationship(_RelationshipObject):
"""For more detailed information on this object's properties, see
`the STIX 2.1 specification <https://docs.oasis-open.org/cti/stix/v2.1/cs01/stix-v2.1-cs01.html#_al0fb8fcd9e7>`__.
"""
_invalid_source_target_types = ['bundle', 'language-content', 'marking-definition', 'relationship', 'sighting']
_type = 'relationship'
_properties = OrderedDict([
('type', TypeProperty(_type, spec_version='2.1')),
('spec_version', StringProperty(fixed='2.1')),
('id', IDProperty(_type, spec_version='2.1')),
('created_by_ref', ReferenceProperty(valid_types='identity', spec_version='2.1')),
('created', TimestampProperty(default=lambda: NOW, precision='millisecond', precision_constraint='min')),
('modified', TimestampProperty(default=lambda: NOW, precision='millisecond', precision_constraint='min')),
('relationship_type', StringProperty(required=True)),
('description', StringProperty()),
('source_ref', ReferenceProperty(invalid_types=_invalid_source_target_types, spec_version='2.1', required=True)),
('target_ref', ReferenceProperty(invalid_types=_invalid_source_target_types, spec_version='2.1', required=True)),
('start_time', TimestampProperty()),
('stop_time', TimestampProperty()),
('revoked', BooleanProperty(default=lambda: False)),
('labels', ListProperty(StringProperty)),
('confidence', IntegerProperty()),
('lang', StringProperty()),
('external_references', ListProperty(ExternalReference)),
('object_marking_refs', ListProperty(ReferenceProperty(valid_types='marking-definition', spec_version='2.1'))),
('granular_markings', ListProperty(GranularMarking)),
])
# Explicitly define the first three kwargs to make readable Relationship declarations.
def __init__(
self, source_ref=None, relationship_type=None,
target_ref=None, **kwargs
):
# Allow (source_ref, relationship_type, target_ref) as positional args.
if source_ref and not kwargs.get('source_ref'):
kwargs['source_ref'] = source_ref
if relationship_type and not kwargs.get('relationship_type'):
kwargs['relationship_type'] = relationship_type
if target_ref and not kwargs.get('target_ref'):
kwargs['target_ref'] = target_ref
super(Relationship, self).__init__(**kwargs)
def _check_object_constraints(self):
super(self.__class__, self)._check_object_constraints()
start_time = self.get('start_time')
stop_time = self.get('stop_time')
if start_time and stop_time and stop_time <= start_time:
msg = "{0.id} 'stop_time' must be later than 'start_time'"
raise ValueError(msg.format(self))
class Sighting(_RelationshipObject):
"""For more detailed information on this object's properties, see
`the STIX 2.1 specification <https://docs.oasis-open.org/cti/stix/v2.1/cs01/stix-v2.1-cs01.html#_7p0n81ikux8f>`__.
"""
_type = 'sighting'
_properties = OrderedDict([
('type', TypeProperty(_type, spec_version='2.1')),
('spec_version', StringProperty(fixed='2.1')),
('id', IDProperty(_type, spec_version='2.1')),
('created_by_ref', ReferenceProperty(valid_types='identity', spec_version='2.1')),
('created', TimestampProperty(default=lambda: NOW, precision='millisecond', precision_constraint='min')),
('modified', TimestampProperty(default=lambda: NOW, precision='millisecond', precision_constraint='min')),
('description', StringProperty()),
('first_seen', TimestampProperty()),
('last_seen', TimestampProperty()),
('count', IntegerProperty(min=0, max=999999999)),
('sighting_of_ref', ReferenceProperty(valid_types="SDO", spec_version='2.1', required=True)),
('observed_data_refs', ListProperty(ReferenceProperty(valid_types='observed-data', spec_version='2.1'))),
('where_sighted_refs', ListProperty(ReferenceProperty(valid_types='identity', spec_version='2.1'))),
('summary', BooleanProperty()),
('revoked', BooleanProperty(default=lambda: False)),
('labels', ListProperty(StringProperty)),
('confidence', IntegerProperty()),
('lang', StringProperty()),
('external_references', ListProperty(ExternalReference)),
('object_marking_refs', ListProperty(ReferenceProperty(valid_types='marking-definition', spec_version='2.1'))),
('granular_markings', ListProperty(GranularMarking)),
])
# Explicitly define the first kwargs to make readable Sighting declarations.
def __init__(self, sighting_of_ref=None, **kwargs):
# Allow sighting_of_ref as a positional arg.
if sighting_of_ref and not kwargs.get('sighting_of_ref'):
kwargs['sighting_of_ref'] = sighting_of_ref
super(Sighting, self).__init__(**kwargs)
def _check_object_constraints(self):
super(self.__class__, self)._check_object_constraints()
first_seen = self.get('first_seen')
last_seen = self.get('last_seen')
if first_seen and last_seen and last_seen <= first_seen:
msg = "{0.id} 'last_seen' must be later than 'first_seen'"
raise ValueError(msg.format(self))
|
/**
* @license
* Copyright Google LLC All Rights Reserved.
*
* Use of this source code is governed by an MIT-style license that can be
* found in the LICENSE file at https://angular.io/license
*/
import { assertDefined } from '../util/assert';
import { icuContainerIterate } from './i18n/i18n_tree_shaking';
import { CONTAINER_HEADER_OFFSET } from './interfaces/container';
import { isLContainer } from './interfaces/type_checks';
import { DECLARATION_COMPONENT_VIEW, T_HOST, TVIEW } from './interfaces/view';
import { assertTNodeType } from './node_assert';
import { getLViewParent } from './util/view_traversal_utils';
import { unwrapRNode } from './util/view_utils';
export function collectNativeNodes(tView, lView, tNode, result, isProjection = false) {
while (tNode !== null) {
ngDevMode &&
assertTNodeType(tNode, 3 /* AnyRNode */ | 12 /* AnyContainer */ | 16 /* Projection */ | 32 /* Icu */);
const lNode = lView[tNode.index];
if (lNode !== null) {
result.push(unwrapRNode(lNode));
}
// A given lNode can represent either a native node or a LContainer (when it is a host of a
// ViewContainerRef). When we find a LContainer we need to descend into it to collect root nodes
// from the views in this container.
if (isLContainer(lNode)) {
for (let i = CONTAINER_HEADER_OFFSET; i < lNode.length; i++) {
const lViewInAContainer = lNode[i];
const lViewFirstChildTNode = lViewInAContainer[TVIEW].firstChild;
if (lViewFirstChildTNode !== null) {
collectNativeNodes(lViewInAContainer[TVIEW], lViewInAContainer, lViewFirstChildTNode, result);
}
}
}
const tNodeType = tNode.type;
if (tNodeType & 8 /* ElementContainer */) {
collectNativeNodes(tView, lView, tNode.child, result);
}
else if (tNodeType & 32 /* Icu */) {
const nextRNode = icuContainerIterate(tNode, lView);
let rNode;
while (rNode = nextRNode()) {
result.push(rNode);
}
}
else if (tNodeType & 16 /* Projection */) {
const componentView = lView[DECLARATION_COMPONENT_VIEW];
const componentHost = componentView[T_HOST];
const slotIdx = tNode.projection;
ngDevMode &&
assertDefined(componentHost.projection, 'Components with projection nodes (<ng-content>) must have projection slots defined.');
const nodesInSlot = componentHost.projection[slotIdx];
if (Array.isArray(nodesInSlot)) {
result.push(...nodesInSlot);
}
else {
const parentView = getLViewParent(componentView);
ngDevMode &&
assertDefined(parentView, 'Component views should always have a parent view (component\'s host view)');
collectNativeNodes(parentView[TVIEW], parentView, nodesInSlot, result, true);
}
}
tNode = isProjection ? tNode.projectionNext : tNode.next;
}
return result;
}
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sourceMappingURL=data:application/json;base64,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 |
// 2. This code loads the IFrame Player API code asynchronously.
var tag = document.createElement('script');
tag.src = "https://www.youtube.com/iframe_api";
var firstScriptTag = document.getElementsByTagName('script')[0];
firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);
// 3. This function creates an <iframe> (and YouTube player)
// after the API code downloads.
var player;
function onYouTubeIframeAPIReady() {
player = new YT.Player('player', {
width: '100%',
videoId: 'An0Wvvnppco',
playerVars: { 'autoplay': 1, 'playsinline': 1 ,'mute':1, 'controls':0,'playlist':'HBh5CJukaig','loop':1,'showinfo':0},
events: {
'onReady': onPlayerReady
}
});
}
// 4. The API will call this function when the video player is ready.
function onPlayerReady(event) {
event.target.mute();
event.target.playVideo();
}
// =================LOBI ===================
var player1;
function onYouTubeIframeAPIReady1(vidid) {
player1 = new YT.Player('player1', {
width: '100%',
videoId: vidid,
playerVars: { 'autoplay': 1, 'playsinline': 1 ,'mute':1, 'controls':0,'playlist':'HBh5CJukaig','loop':1,'showinfo':0},
events: {
'onReady': onPlayerReady1
}
});
}
// 4. The API will call this function when the video player is ready.
function onPlayerReady1(event) {
event.target.mute();
event.target.playVideo();
}
// ===============RESTAURANT====================
var player2;
function onYouTubeIframeAPIReady2(vidid) {
player2 = new YT.Player('player2', {
width: '100%',
videoId: vidid,
playerVars: { 'autoplay': 1, 'playsinline': 1 ,'mute':1, 'controls':0,'playlist':'ZW3DlXjMyYg','loop':1,'showinfo':0},
events: {
'onReady': onPlayerReady2
}
});
}
// 4. The API will call this function when the video player is ready.
function onPlayerReady2(event) {
event.target.mute();
event.target.playVideo();
}
// =============== KAMAR ===========================
var player3;
function onYouTubeIframeAPIReady3(vidid) {
player3 = new YT.Player('player3', {
width: '100%',
videoId: vidid,
playerVars: { 'autoplay': 1, 'playsinline': 1 ,'mute':1, 'controls':0,'playlist':'HBh5CJukaig','loop':1,'showinfo':0},
events: {
'onReady': onPlayerReady3
}
});
}
// 4. The API will call this function when the video player is ready.
function onPlayerReady3(event) {
event.target.mute();
event.target.playVideo();
}
// =============== LOBI KAMAR ===========================
var player4;
function onYouTubeIframeAPIReady4(vidid) {
player4 = new YT.Player('player4', {
width: '100%',
videoId: vidid,
playerVars: { 'autoplay': 1, 'playsinline': 1 ,'mute':1, 'controls':0,'playlist':'QZYg-cNM3OI','loop':1,'showinfo':0},
events: {
'onReady': onPlayerReady4
}
});
}
// 4. The API will call this function when the video player is ready.
function onPlayerReady4(event) {
event.target.mute();
event.target.playVideo();
}
|
import React, { Component } from 'react';
class Error extends Component{
render(){
return(
<div>
<h1>Pagina não encontrada!</h1>
</div>
);
}
}
export default Error; |
import React from 'react';
import { View } from 'react-native';
import { createBottomTabNavigator } from '@react-navigation/bottom-tabs';
import { TabBar } from './components/Layout/Menu/TabBar';
import HomeScreen from './screens/HomeScreen';
import AlertsScreen from './screens/AlertsScreen';
import StatsScreen from './screens/StatsScreen';
import ProfileScreen from './screens/ProfileScreen';
import { useSafeArea } from 'react-native-safe-area-context';
import EchoButtonGesture from './components/Layout/Buttons/EchoButtonGesture';
import Theme from './constants/Theme';
export default () => {
const Tab = createBottomTabNavigator();
return (
<>
<View
style={{
position: 'absolute',
zIndex: 300,
bottom: 5,
alignSelf: 'center',
}}
>
<EchoButtonGesture />
</View>
<View style={{ flex: 1, position: 'relative' }}>
<Tab.Navigator
tabBar={(props) => (
<TabBar
{...props}
state={{ ...props.state, routes: props.state.routes.slice(0, 5) }}
/>
)}
>
<Tab.Screen name="home" component={HomeScreen} />
<Tab.Screen name="bell" component={AlertsScreen} />
<Tab.Screen name="font" component={ProfileScreen} />
<Tab.Screen name="chart-bar" component={StatsScreen} />
<Tab.Screen name="user-alt" component={ProfileScreen} />
</Tab.Navigator>
{useSafeArea().bottom > 0 && (
<View
style={{
height: useSafeArea().bottom,
backgroundColor: Theme.colors.purpleBlue,
}}
/>
)}
</View>
</>
);
};
|
const got = require('@/utils/got');
const config = require('@/config').value;
function secondsTillTomorrow() {
const d = new Date();
const seconds_today = d.getSeconds() + 60 * (d.getMinutes() + 60 * d.getHours());
return 86400 - seconds_today;
}
module.exports = async (ctx) => {
const resultItems = await ctx.cache.tryGet(
'xiaoyuzhou_items',
async () => {
const device_id = config.xiaoyuzhou.device_id || 'f5d56d9a-8530-49a4-a6d2-cfb4b7a31240';
const refresh_token =
(await ctx.cache.get('XIAOYUZHOU_TOKEN')) ||
config.xiaoyuzhou.refresh_token ||
'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJkYXRhIjoiVzhieXB2dTJtT24xZWNqcEppN2p6R2xhMDBhMHYxellLaHFcL0ZXVWVkdDcxNlh3bnJnOFE0cFpGbVJmVFJQQ29ESWsxMmVuY3RcLzNqQWNjeFU3aTZNbkM4MUtWcUlmWWJJbVBKdXJDTXVYc1dHa2x0SE5TK3llNnJvTldLSWN1M1ZFTGY5WFE0cGhnK2crQld6bFloM2g0VUtONlNKWWlUSGtkaHowd0RJYXIrdTlzOE5PaEJPYXdJXC80NEFZcW41RjJqUXNnU3o1TExDSGtuTENuUFppRXllaTNwcVFwRkgweWFWbk03bmQ2RFhrUmVmUExVMTVpMXcwRnpkXC9wWDEiLCJ2IjozLCJpdiI6IkJiVGFjXC9KTG9BU1NYY0tPMkk3M0JBPT0iLCJpYXQiOjE1OTQ1NzIyOTEuODE2fQ.aQm7A6A1R3P94s88vWBWTbIeek9nJ-q9ztfCB7o1uK0';
const headers = {
applicationid: 'app.podcast.cosmos',
'app-version': '1.6.0',
'x-jike-device-id': device_id,
'user-agent': 'okhttp/4.7.2',
};
const token_updated = await got({
method: 'post',
url: 'https://api.xiaoyuzhoufm.com/app_auth_tokens.refresh',
headers: {
...headers,
'x-jike-refresh-token': refresh_token,
},
});
ctx.cache.set('XIAOYUZHOU_TOKEN', token_updated.data['x-jike-refresh-token']);
const response = await got({
method: 'post',
url: 'https://api.xiaoyuzhoufm.com/v1/editor-pick/list',
headers: {
...headers,
'x-jike-access-token': token_updated.data['x-jike-access-token'],
},
});
const data = response.data.data;
const playList = [];
for (let i = 0; i < data.length; i++) {
for (let j = 0; j < data[i].picks.length; j++) {
data[i].picks[j].episode.pubDate = data[i].date;
playList.push(data[i].picks[j]);
}
}
return await Promise.all(
playList.map(async (item) => {
const title = item.episode.title + ' - ' + item.episode.podcast.title;
const eid = item.episode.eid;
const itunes_item_image = item.episode.image ? item.episode.image.picUrl : item.episode.podcast.image ? item.episode.podcast.image.picUrl : '';
const link = `https://www.xiaoyuzhoufm.com/episode/${eid}`;
const pubDate = new Date(item.episode.pubDate).toUTCString();
const enclosure_length = item.episode.duration;
const enclosure_url = item.episode.enclosure.url;
const desc = item.episode.shownotes;
const author = item.episode.podcast.author;
const resultItem = {
title: title,
description: desc,
link: link,
author: author,
pubDate: pubDate,
enclosure_url: enclosure_url,
enclosure_length: enclosure_length,
itunes_item_image: itunes_item_image,
enclosure_type: 'audio/mpeg',
};
return Promise.resolve(resultItem);
})
);
},
secondsTillTomorrow()
);
ctx.state.data = {
title: '小宇宙 - 发现',
link: 'https://www.xiaoyuzhoufm.com/',
description: '小宇宙的编辑精选',
image: 'https://www.xiaoyuzhoufm.com/apple-touch-icon.png',
itunes_author: '小宇宙',
itunes_category: 'Society & Culture',
item: resultItems,
};
};
|
const mongoose = require('mongoose');
const passport = require('passport');
var User = mongoose.model('User');
const _=require('lodash');
module.exports.register = (req,res,next) =>
{
var user = new User();
user.fullName = req.body.fullName;
user.email = req.body.email;
user.password = req.body.password;
user.save((err,doc)=>
{
if(!err)
res.send(doc);
else
{
if(err.code == 11000)
res.status(422).send('Email is Already Existed');
else
return next(err);
}
});
};
module.exports.authenticate = (req, res ,next)=>
{
passport.authenticate('local',(err,user,info)=>{
if(err)
return res.status(400).json(err);
else if(user)
return res.status(200).json({"token": user.generateJwt()});
else
return res.status(404).json(info);
})(req , res);
}
module.exports.userProfile = (req,res, next)=>
{
User.findOne({_id: req._id},
(err,user)=>
{
if(!user)
return res.status(404).json({status: false,message: 'User record not found.'});
else
return res.status(200).json({status: true, user: _.pick(user,['fullName','email'])});
});
} |
!function(a){a.fn.datetimepicker.dates.ms={days:["Ahad","Isnin","Selasa","Rabu","Khamis","Jumaat","Sabtu","Ahad"],daysShort:["Aha","Isn","Sel","Rab","Kha","Jum","Sab","Aha"],daysMin:["Ah","Is","Se","Ra","Kh","Ju","Sa","Ah"],months:["Januari","Februari","Mac","April","Mei","Jun","Julai","Ogos","September","Oktober","November","Disember"],monthsShort:["Jan","Feb","Mar","Apr","Mei","Jun","Jul","Ogo","Sep","Okt","Nov","Dis"],today:"Hari Ini",suffix:[],meridiem:[]}}(jQuery); |
const Sequelize = require('sequelize');
let sequelize = require('../sequelize');
const Code = sequelize.define('code', {
id: {
type: Sequelize.INTEGER,
autoIncrement: true,
primaryKey: true
},
code : {
type: Sequelize.STRING(1234),
allowNull: false
}
});
if(process.env.ENVIRONMENT == 'development'){
Code.sync({force: true}).then(() => {});
}
module.exports = Code;
|
import sys
CODE = {
'A': '.-', 'B': '-...', 'C': '-.-.',
'D': '-..', 'E': '.', 'F': '..-.',
'G': '--.', 'H': '....', 'I': '..',
'J': '.---', 'K': '-.-', 'L': '.-..',
'M': '--', 'N': '-.', 'O': '---',
'P': '.--.', 'Q': '--.-', 'R': '.-.',
'S': '...', 'T': '-', 'U': '..-',
'V': '...-', 'W': '.--', 'X': '-..-',
'Y': '-.--', 'Z': '--..',
' ': '/',
'0': '-----', '1': '.----', '2': '..---',
'3': '...--', '4': '....-', '5': '.....',
'6': '-....', '7': '--...', '8': '---..',
'9': '----.',
'.': '.-.-.-', ',': '--..--', '?': '..--..',
'\'': '.----.', '!': '-.-.--', '/': '-..-.',
'(': '-.--.', ')': '-.--.-', '&': '.-...',
':': '---...', ';': '-.-.-.', '=': '-...-',
'+': '.-.-.-', '-': '-....-', '_': '..--.-',
'"': '.-..-.', '$': '...-..-', '@': '.--.-.'
}
DOT = '.'
DOT_UNIT_MULTIPLIER = 1.0
DASH = '-'
DASH_UNIT_MULTIPLIER = 3.0
LETTER_SEPARATOR = ' '
LETTER_SEPARATOR_UNIT_MULTIPLIER = 1.0
WORD_SEPARATOR = '/'
WORD_SEPARATOR_UNIT_MULTIPLIER = 7.0
def convertTextToMorseCode( text ):
morseCode = ''
for char in text:
morseCode = morseCode + CODE[char.upper()]
morseCode = morseCode + LETTER_SEPARATOR
return morseCode
def main():
text = sys.argv[1]
print 'Text : ' + text
morseCode = convertTextToMorseCode(text)
print 'MORSE Code: ' + morseCode
if __name__ == "__main__":
main()
|
const dbconfig = {
HOST: "localhost",
USER: "root",
PASSWORD: "rCCeF4N;k",
DB: "faketwitter",
dialect: "mysql",
pool: {
max: 5,
min: 0,
acquire: 30000,
idle: 10000
}
};
module.exports = dbconfig;
|
#!/usr/bin/env python
import json
import os
import subprocess
def normalize_target(target):
if ':' in target: return target
return target + ':' + os.path.basename(target)
def gn_desc(root_out_dir, target, *what_to_show):
# gn desc may fail transiently for an unknown reason; retry loop
for i in xrange(2):
desc = subprocess.check_output([
os.path.join(os.environ['FUCHSIA_DIR'], 'buildtools', 'gn'), 'desc',
root_out_dir, '--format=json', target
] + list(what_to_show))
try:
output = json.loads(desc)
break
except ValueError:
if i >= 1:
print 'Failed to describe target ', target, '; output: ', desc
raise
if target not in output:
target = normalize_target(target)
return output[target]
|
// Given an element this class can go back or forward to that element's history
class History {
constructor(element) {
this.element = element;
this.currentIndex = 0;
this.historyArray = [element.innerHTML]
}
goBack() {
let i = this.currentIndex - 1;
if (i < 0) {
return;
}
else {
this.currentIndex = i;
this.element.innerHTML = this.historyArray[this.currentIndex];
}
}
goForward() {
let i = this.currentIndex + 1;
if (i >= this.historyArray.length) {
return;
}
else {
this.currentIndex = i;
this.element.innerHTML = this.historyArray[this.currentIndex];
}
}
saveState() {
for (let i = this.currentIndex + 1; i < this.historyArray.length; i++) {
this.historyArray.pop();
}
this.historyArray.push(this.element.innerHTML);
this.currentIndex++;
}
}
module.exports.History = History; |
var searchData=
[
['t_5fangle_0',['T_Angle',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a08806eb331bdede66bb3113b1642a6ad',1,'TStageObject']]],
['t_5fpath_1',['T_Path',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439aa0630d9663bbf752a92702f3a1818e58',1,'TStageObject']]],
['t_5fscalex_2',['T_ScaleX',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a078a9701f533b38eb16dfe8914c45958',1,'TStageObject']]],
['t_5fscaley_3',['T_ScaleY',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a9bda4b3de61fbbebf8ce48749d22dd86',1,'TStageObject']]],
['t_5fshearx_4',['T_ShearX',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a92fbb950a2ad460478a6fa7606196a17',1,'TStageObject']]],
['t_5fsheary_5',['T_ShearY',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a0c485ea820893a408d07bab60b9b7a0d',1,'TStageObject']]],
['t_5fso_6',['T_SO',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a426bfbbf201379648fff0257dd067289',1,'TStageObject']]],
['t_5fx_7',['T_X',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a23087217a2f7436152fa0ee4b2362448',1,'TStageObject']]],
['t_5fy_8',['T_Y',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a45e2b29d25f50909ebd06d1bd9c1944a',1,'TStageObject']]],
['t_5fz_9',['T_Z',['../class_t_stage_object.html#ac7a60ddc803173dc7591f784577cb439a6c8e9e0e35cdf4d4a5427a00eaeb255d',1,'TStageObject']]],
['toonz_5fraster_10',['TOONZ_RASTER',['../class_t_image.html#a40e9e1054d038f48639e85b1825094c1a4628781c4add56d9e3f547515561db61',1,'TImage']]],
['toonzimage_11',['ToonzImage',['../class_t_tool.html#adf0ea3a7f9d003f761fe57638dd6eff4a68b7e2c2f25d134cb0debc4548d23ce1',1,'TTool']]],
['triangle_12',['Triangle',['../namespace_t_rop.html#a2780cb0189f5717b67b6aca3f5471168af59a8bad64d2b117020f864efd67b2b5',1,'TRop']]]
];
|
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