The Docker Book: Containerization is the new virtualization
Written by James Turnbull
Review by Dave Vallance
The Quick and Dirty Summary
There is a lot of good documentation about docker on the official site and through out the web, so this book is NOT a must read, however it does present the information in a nice flow and I found it an enjoyable read. I walked away feeling I had a great overall understanding of Docker itself, and a better focus on how I wanted to start using it!
Introduction
I didn't know much about Docker, other then the basic idea of what it tries to accomplish. That being the ability to build an application, possibly of high complexity and with lots of moving parts, and then package it up in a standardized container (akin to a shipping container). Once in a shipping container it therefore should be extreamly easy (in therory) to move this tested and working application around without worrying about any inconsistentcies amoungst the different running environments. Whether on another developers laptop, in a QA environment, or out to production servers; you application should function consistently.
This concept of building an application and then shipping it off, knowing it will "just work", is what got me excited about Docker and brought me to read this book.
How does it read? What does it cover?
I found the book reads very well. Theres your standard into information, such as who the book is written for, acknoledgments, and blurbs on numerous individuals that helped develop it. Then after giving some quick info on what container virtualization is and how its different then hypervisor virtualization, the book gets into Docker itself.
It gives some good detail on what Docker is, what it does, and how you can make use of it. At this point, if your like me, you'll be jazzed up to start trying it out and the book flows nicely right into installation. It lets you know the requirements requirements and gives step by step examples of installation on 4 different systems Ubuntu, Red Hat, OS X and Microsot Windows.
I always go to the source(https://docs.docker.com/installation/#installation) to make sure I have the most recent installation information (An this book was spot on for an Ubuntu install).
See my installation notes if your on Archlinux or Ubuntu (There are some snags I encountered). I had an issue installing on Ubuntu 14.04 see [My Installation Notes]. Now that you are up and running its basically following along learning the following:
class Test
#This is an example
def initialize()
puts 'hello'
end
end


Add .single-input
class to span/div for basic Selectivity
Add .without-search-box
class for without a search field
Add .single-input-with-labels
class to set select with labels
Add .single-input-with-submenus
class to get input with submenu
Add .multiple-input
class to select multiple options
Add .tags-input
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Add .emails-input
class to set multiple email addresses
Add .repository-input
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--- layout: page title: Notes subtitle: This is where I post the notes I've made image: /img/notes.jpg ---
Spring 2019


The software I use is secure since it was designed with security in mind
People who hold this misconception put too much faith in software producers, assuming that those producers thought
about security and did a good job building it into their product. Unfortunately, software is not always designed
with security in mind, due to developers’ lack of security awareness, ability, economic constraints, or other
reasons. Additionally, developers might have carefully considered security, but simply made mistakes in the design
or implementation phase. Or, they might have done a good job, but other conditions change resulting in security
vulnerabilities (e.g., Meltdown). Novice software developers might even have this misconception about their own
software, because they tried to create it to be secure. Whatever the reason, it is always a mistake to assume that
software is secure.


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Cricket: England collapse to give New Zealand T20 series lead
NELSON, New Zealand: A dramatic England collapse which saw five wickets fall for only 10 runs allowed New Zealand to snatch a 14-run victory in their Twenty20 international in Nelson Tuesday (Nov 5).
It also put New Zealand 2-1 ahead in the series with two games to play.
England were on track to overhaul New Zealand's 180 when they reached 139 for two in the 15th over, with captain Eoin Morgan in full flight as he cracked sixes off consecutive Mitchell Santner deliveries.
But with England needing 42 off the remaining 31 deliveries Santner turned the match when he had Morgan caught by Colin Munro off the final ball of the over.
Dawid Malan (55) and James Vince (49) had laid a solid foundation for England at the top of the innings.
But Morgan's dismissal started a collapse which saw Munro run out Sam Billings for one in the following over before Blair Tickner removed Vince.
In the space of two deliveries Lockie Ferguson bowled Lewis Gregory without scoring and had Sam Curran caught for two leaving Tom Curran and Saqib Mahmood to struggle through to the end.
"That's one that got away," England captain Morgan said, pointing to the lack of experience in his squad.
"We were in control for the whole chase until we were three or four down, probably that's a lack of experience. The guys need to get more games into them at this level."
Ferguson and Tickner both finished with two for 25 while spinner Santner and Ish Sodhi took a wicket apiece.
"It could have gone either way at the halfway mark. But we knew if we could keep taking wickets it would be touch for them," New Zealand captain Tim Southee said.
A sound middle-order partnership by Colin de Grandhomme and Ross Taylor laid the basis for New Zealand after Martin Guptill had given them a flying start with 33 off 17 deliveries.
Man-of-the-match de Grandhomme smacked 55 off 35 while Taylor produced a more sedate 27 from 24 in a 66-run stand after New Zealand were three down in the eighth over.
It was a better performance by England in the field with a much-improved catching effort which accounted for four of the seven wickets. But the bowling discipline dropped as New Zealand benefited from eight wides and two no balls.


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{% extends "base.html" %}
{% load i18n %}
{% block title %}{% trans "Александр Мокрышев - ИТ-менеджер" %}{% endblock %}
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Release History¶
Release Notes¶
Qiskit Aqua 0.4.0¶
In the Qiskit ecosystem, Aqua is the element that encompasses cross-domain quantum algorithms and applications running on Noisy Intermediate-Scale Quantum (NISQ) computers. Aqua is an open-source library completely written in Python and specifically designed to be modular and extensible at multiple levels. Currently, Aqua supports four applications, in domains that have long been identified as potential areas for quantum computing: Chemistry, Artificial Intelligence (AI), Optimization, and Finance. In this release, we have added the following new features :
- Compatibility with Terra 0.7
- Compatibility with Aer 0.1
- Programmatic APIs for algorithms and components – each component can now be instantiated and
initialized via a single (non-empty) constructor call -
QuantumInstance
API for algorithm/backend decoupling –QuantumInstance
encapsulates a backend and its settings - Updated documentation and Jupyter Notebooks illustrating the new programmatic APIs
- Transparent parallelization for gradient-based optimizers
- Multiple-Controlled-NOT (cnx) operation
- Pluggable algorithmic component
RandomDistribution
- Concrete implementations of
RandomDistribution
:BernoulliDistribution
,LogNormalDistribution
,MultivariateDistribution
,MultivariateNormalDistribution
,MultivariateUniformDistribution
,NormalDistribution
,UniformDistribution
, andUnivariateDistribution
- Pluggable algorithmic component:
- Concrete implementations of
UncertaintyProblem
:FixedIncomeExpectedValue
,EuropeanCallExpectedValue
, andEuropeanCallDelta
- Amplitude Estimation algorithm
- Qiskit Optimization: New Ising models for optimization problems exact cover, set packing, vertex cover, clique, and graph partition
- Qiskit AI:
- New feature maps extending the
FeatureMap
pluggable interface:PauliExpansion
andPauliZExpansion
- New feature maps extending the
- Training model serialization/deserialization mechanism
- Qiskit Finance:
- Amplitude estimation for Bernoulli random variable: illustration of amplitude estimation on a single qubit problem
- Loading of multiple univariate and multivariate random distributions
- European call option: expected value and delta (using univariate distributions)
- Fixed income asset pricing: expected value (using multivariate distributions)
In this release, we have also removed the following new features:
HartreeFock
component of pluggable typeInitialState
moved to Qiskit ChemistryUCCSD
component of pluggable typeVariationalForm
moved to Qiskit Chemistry
New Features in the Aqua Library of Algorithms¶
In this section, we describe the new features made available in Qiskit Aqua 0.4 at the level of the library of algorithms.
Compatibility with Terra 0.7 and Aer 0.1¶
Aqua 0.4 is fully compatible with the latest version of Qiskit Terra, 0.7, and with the newly released Qiskit Aer 0.1. This allows you to install and execute Aqua in the same Python environment as all the other Qiskit elements and components.
API-based Programmatic Interface¶
The Aqua wizard allows you to use Aqua as a tool; you can configure and execute quantum experiments without writing a line of code. However, Aqua has a more powerful use case. In fact, Aqua is an extensible library of quantum algorithms; users can extend it with new components and program experiments by calling the Aqua APIs. In Aqua 0.4, we have simplified the Aqua programmatic interface.
In previous versions of Aqua, in order to instantiate one of the
algorithmic components — such as algorithms, optimizers, variational
forms, oracles, feature maps and AI classifiers — you had to call either
the empty constructor or factory method of that component’s class,
followed by a call to init_args containing the parameters needed for
that component to be initialized. That somewhat convoluted API structure
was implemented in order to reconcile a pure programmatic approach with
the declarative approach allowed by the Aqua wizard, which has the
ability to automatically discover and dynamically load new components at
run time. In order to simplify the programmatic approach, we have
deprecated the init_args
API. Component classes no longer have empty
constructors. Rather, we now allow the constructor of each component to
take as parameters all the objects needed for that component to be fully
initialized. For example, this one line constructs and initializes an
instance of Grover’s search algorithm:
algorithm = Grover(oracle)
where oracle
is an instance of the Aqua Oracle interface.
It is also worth noting that, in previous versions of Aqua, a backend was made available to an algorithm in the form of a string, and it was the algorithm’s responsibility to create an instance of the backend by interpreting that string. Starting with this release, the Qiskit ecosystem includes a new element: Qiskit Aer, consisting of a collection of high-quality, high-performance and highly scalable simulators. Aer will help us understand the limits of classical processors by demonstrating to what extent they can mimic quantum computation. Furthermore, we can use Aer to verify that current and near-future quantum computers function correctly. Being fully integrated with the newly released Aer 0.1, Aqua 0.4 allows for an experiment’s backend to be constructed programmatically from the Aer APIs.
Furthermore, we have decoupled the Aqua algorithms from the Terra
backends. An Aqua algorithm is now a pure implementation of a quantum
algorithm, and as such it is orthogonal to the notion of the backend on
which the algorithm-generated circuits will be executed. This decoupling
is reflected by the fact that the construction of a QuantumAlgorithm
object no longer requires setting up the backend. Rather, the backend is
passed as a parameter to the run
method of the QuantumAlgorithm
object
as is, or wrapped in a QuantumInstance
object along with
backend-configuration parameters.
The following program shows how to conduct a quantum programming experiment using Aqua’s improved programmatic interface:
from qiskit import Aer
from qiskit_aqua.components.oracles import SAT
from qiskit_aqua.algorithms import Grover
sat_cnf = """
c Example DIMACS 3-sat
p cnf 3 5
-1 -2 -3 0
1 -2 3 0
1 2 -3 0
1 -2 -3 0
-1 2 3 0
"""
backend = Aer.get_backend('qasm_simulator')
oracle = SAT(sat_cnf)
algorithm = Grover(oracle)
result = algorithm.run(backend)
print(result["result"])
This program demonstrates how Grover’s search algorithm can be used in conjunction with the Satisfiability (SAT) oracle to compute one of the many possible solutions of a Conjunctive Normal Form (CNF).
This example emphasizes the use of Aqua’s improved programmatic
interface by illustrating how the Grover QuantumAlgorithm
and its
supporting component—-consisting of the SAT oracle
, can both be instantiated and
initialized via simple constructor calls. The Aer QASM simulator
backend is passed as a parameter to the run
method of the Grover
QuantumAlgorithm
object, which means that the backend will be executed with default
parameters.
To customize the backend, you can wrap it into a QuantumInstance
object,
and then pass that object to the run method of the QuantumAlgorithm
, as
explained above. The QuantumInstance
API allows you to customize
run-time properties of the backend, such as the number of shots, the
maximum number of credits to use, a dictionary with the configuration
settings for the simulator, a dictionary with the initial layout of
qubits in the mapping, and the Terra PassManager
that will handle the
compilation of the circuits. For the full set of options, please refer
to the documentation of the Aqua QuantumInstance
API.
Numerous new notebooks in the qiskit/aqua and community/aqua folders of the Qiskit Tutorials repository illustrate how to conduct a quantum-computing experiment programmatically using the new Aqua APIs.
Transparent Parallelization of Gradient-based Optimizers¶
Aqua comes with a large collection of adaptive algorithms, such as the Variational Quantum Eigensolver (VQE) algorithm, Quantum Approximate Optimization Algorithm (QAOA), the Quantum Support Vector Machine (SVM) Variational Algorithm for AI. All these algorithms interleave quantum and classical computations, making use of classical optimizers. Aqua includes nine local and five global optimizers to choose from. By profiling the execution of the adaptive algorithms, we have detected that a large portion of the execution time is taken by the optimization phase, which runs classically. Among the most widely used optimizers are the gradient-based ones; these optimizers attempt to compute the absolute minimum (or maximum) of a function \(f\) through its gradient.
Five local optimizers among those integrated into Aqua are gradient-based: the four local optimizers Limited-memory Broyden-Fletcher-Goldfarb-Shanno Bound (L-BFGS-B), Sequential Least SQuares Programming (SLSQP), Conjugate Gradient (CG), and Truncated Newton (TNC) from SciPy, as well as Simultaneous Perturbation Stochastic Approximation (SPSA). Aqua 0.4 contains a methodology that parallelizes the classical computation of the partial derivatives in the gradient-based local optimizers listed above. This parallelization takes place transparently, in the sense that Aqua intercepts the computation of the partial derivatives and parallelizes it without making any change to the actual source code of the optimizers.
In order to activate the parallelization mechanism for an adaptive
algorithm included in Aqua, it is sufficient to construct it with
parameter batch_mode
set to True
. Our experiments have proven
empirically that parallelizing the process of a gradient-based local
optimizer achieves a 30% speedup in the execution time of an adaptive algorithms on
a simulator.
Multiple-Controlled-NOT Operation¶
The Multiple-Controlled-NOT (cnx) operation, as the name suggests, is a generalization of the quantum operation where one target qubit is controlled by a number n of control qubits for a NOT (x) operation. The multiple-controlled-NOT operation can be used as the building block for implementing various different quantum algorithms, such as Grover’s search algorithm.
For the different numbers 0, 1, 2, … of controls, we have corresponding
quantum gates x
, cx
, ccx
, … The first three are basic/well-known
quantum gates. In Aqua, the cnx operation provides support for arbitrary
numbers of controls, in particular, 3 or above.
Currently two different implementation strategies are included: basic
and advanced. The basic mode employs a textbook implementation, where
a series of ccx
Toffoli gates are linked together in a V
shape to
achieve the desired multiple-controlled-NOT operation. This mode
requires \(n-2\) ancillary qubits, where \(n\) is the number of controls. For
the advanced mode, the cccx
and ccccx
operations are achieved without
needing ancillary qubits. Multiple-controlled-NOT operations for higher
number of controls (5 and above) are implemented recursively using these
lower-number-of-control cases.
Aqua’s cnx operation can be invoked from a QuantumCircuit
object
using the cnx
API, which expects a list q_controls
of control qubits,
a target qubit q_target
, and a list q_ancilla
of ancillary qubits.
An optional keyword
argument mode
can also be passed in to indicate whether the 'basic'
or
'advanced'
mode is chosen. If omitted, this argument defaults to 'basic'
.
Random Distributions¶
A random distribution is an implementation of a circuit factory. It
provides a way to construct a quantum circuit to prepare a state
corresponding to a random distribution. More precisely, the resulting
state, together with an affine map, can be used to sample from the
considered distribution. The qubits are measured and then mapped to
the desired range using the affine map. Aqua 0.4 introduces random
distributions in the form of the RandomDistribution
pluggable
component, and provides numerous concrete implementations, such as
BernoulliDistribution
, LogNormalDistribution
,
MultivariateDistribution
, MultivariateNormalDistribution
,
MultivariateUniformDistribution
, NormalDistribution
,
UniformDistribution
, and UnivariateDistribution
.
Uncertainty Problems¶
Uncertainty is present in most realistic applications, and often it is
necessary to evaluate the behavior of a system under uncertain data. For
instance, in finance, it is of interest to evaluate expected value or
risk metrics of financial products that depend on underlying stock
prices, economic factors, or changing interest rates. Classically, such
problems are often evaluated using Monte Carlo simulation. However,
Monte Carlo simulation does not converge very fast, which implies that
large numbers of samples are required to achieve estimations of
reasonable accuracy and confidence. Uncertainty problems can be solved
by the amplitude estimation algorithm, discussed below. Aqua 0.4
introduces the UncertaintyProblem
pluggable component and provides
implementations for several concrete uncertainty problems used in Aqua
Finance, such as FixedIncomeExpectedValue
, EuropeanCallExpectedValue
and
EuropeanCallDelta
.
The Amplitude Estimation Algorithm¶
The Aqua library of algorithms is fully extensible; new algorithms can easily be plugged in. Aqua 0.4 includes a new algorithm: Amplitude Estimation, which is a derivative of Quantum Phase Estimation applied to a particular operator \(A\), assumed to operate on \(n + 1\) + 1 qubits (plus possible ancillary qubits). Here, the first n qubits encode the uncertainty (in the form of a random distribution), and the last qubit, called the objective qubit, is used to represent the normalized objective value as its amplitude. In other words, \(A\) is constructed such that the probability of measuring a 1 in the objective qubit is equal to the value of interest. Amplitude estimation leads to a quadratic speedup compared to the classical Monte Carlo approach when solving an uncertainty problem. Thus, millions of classical samples could be replaced by a few thousand quantum samples.
Qiskit Finance¶
The Amplitude Estimation algorithm, along with the RandomDistribution
and UncertaintyProblem
components introduced in Aqua 0.4, enriches the
portfolio of Finance problems that can be solved on a quantum computer.
These now include European Call Option Pricing (expected value and
delta, using univariate distributions) and Fixed Income Asset Pricing
(expected value, using multivariate distributions). New Jupyter
Notebooks illustrating the use of the Amplitude Estimation algorithm to
deal with these new problems are available in the Qiskit Finance
tutorials
repository.
Qiskit AI¶
Aqua 0.4 introduces two new implementations of the FeatureMap pluggable
component, PauliZExpansion
and PauliExpansion
.
The PauliZExpansion
feature map is a generalization of the already
existing FirstOrderExpansion
and SecondOrderExpansion
feature maps,
allowing for the order of expansion k to be greater than 2.
The PauliExpansion
feature map generalizes the existing feature maps
even more. Not only does this feature map allows for the order of
expansion k to be greater than 2, but it also supports Paulis I, X
and Y, in addition to Z.
Furthermore, we have improved both the Support Vector Machine Quantum Kernel (QSVM Kernel) and Support Vector Machine Quantum Variational (QSVM Variational) algorithms by allowing a training model to be serialized to disk and dynamically retrieved in subsequent experiments.
Qiskit Optimization¶
In Aqua 0.4, we introduce new Ising models for the following optimization problems: exact cover, set packing, vertex cover, clique, and graph partition. All this problems are solved with VQE. Jupyter Notebooks illustrating how to use a quantum computer to solve these problems are available in the Qiskit community Optimization tutorials repository.


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def forward_gpu(self, inputs):
x0, x1 = inputs
self.diff = x0 - x1
diff = self.diff.ravel()
return abs(diff).sum() / diff.dtype.type(diff.size),
def backward(self, indexes, grad_outputs):
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And it was so, that when they that bare the ark of the LORD had gone six paces, he sacrificed oxen and fatlings.


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Correspondence
Letters between the chairs of workload review groups and the Secretary of State for Education about the groups' reports and recommendations.
The first letter is from the chairs of the 3 teacher workload review groups. It presents the groups’ reports to Nicky Morgan, Secretary of State for Education.
The second letter is Nicky Morgan’s response.
See the review groups’ reports about reducing teacher workload:


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@exmg-lit-router is based on:
vaadin/router @vaadin/router
Most important role play vaadin router. Above documentation is also valid for this repository and is recommended to read it. This library add some features on top on vaadin router but not changing behaviour. Here is the list of added features 1 router is manged by redux and is placed in object state.router
2 component connected with router have hook methods stateChanged and routeChanged
3 supported queryParams - can obtained from state.router
4 supported params - can obtained from state.router
5 possible to add title to route with placeholder for params
6 possible to add breadcrumbs to route
pwa-helpers pwa-helpers
redux - Redux
npm i @exmg/exmg-lit-router -S
import {createStore, Store} from 'redux';
import {LazyStore} from 'pwa-helpers/lazy-reducer-enhancer';
import {
connectStore,
StateWithRouter,
RouterAction,
routerReducer as router,
RouterState,
} from '@exmg/exmg-lit-router'
export interface RootState extends StateWithRouter {
// define more states
router: RouterState;
}
export type RootAction = RouterAction;
// createStore goes here
const store: LazyStore & Store<RootState, any> = createStore();
// Initially loaded reducers.
store.addReducers({
router,
});
// and finally connect store with router
connectStore(store);
Inside index.html in head section setup
<base href="/">
or prefixed
<base href="/demo/">
You have to define route where user will be redirected once page not found.
Then set route name to not-found
. Base on this name we can later on programmatically redirect user to this page
const routeItems = [
// this path may be used explicitly to redirect user
{path: '404-not-found', component: 'my-view404', name: 'not-found'},
// pattern for any path - should be defined as te last entry
{path: '(.*)', component: 'my-view404'},
];
import {RouteItem} from '@vaadin/router';
// import my-component and user-list here
export const appRoutes: RouteItem[] = [
{
path: '', name: 'home', component: 'my-component',
},
{
path: 'users', name: 'user-list', component: 'user-list'
},
];
or you can also import dynamically
import {RouteItem} from '@vaadin/router';
export const appRoutes: RouteItem[] = [
{
// just import component dynamically
path: '',
component: 'my-component',
action: () => import('./pages/my-component.js') as Promise<any>,
},
{
// load children dynamically
path: 'users',
children: () => import('./shared_pages/user/routes.js').then(module => {
return module.routes;
}),
},
{
// load module dynamically and define children config manually
path: 'users2',
action: () => import('./shared_pages/user/routes.js') as Promise<any>,
children: [
{
path: '',
component: 'user-list'
},
{
path: 'details/:id',
component: 'user-detail'
}
],
},
];
!!NOTE: Leveraging bundle.module import is not working
{path: 'view2/:color?', component: 'my-view2', bundle: {module: './pages/my-view2.js'}},
This is not working in chrome mobile mode when <base href="/demo/" \/> then dependencies are imported
without prefix which end up with 404 - not found network response
Recommended to use dynamic import('package.js')
Once you have defined routes you have to install them in app
import {LitElement, html} from 'lit-element';
import {installRouter} from '@exmg/exmg-lit-router';
import {store} from './store';
import {appRoutes} from './app-routes';
export class MyApp extends LitElement {
private unsubscribe: Function[] = [];
protected firstUpdated() {
const outlet = this.shadowRoot!.querySelector<HTMLElement>('#outlet')!;
const installationResult = installRouter(
store,
outlet,
appRoutes,
() => {/*This callback will be called whenever router changed*/},
);
// store unsubscribe function to release resources
this.unsubscribe.push(installationResult.unsubscribe);
}
disconnectedCallback(): void {
super.disconnectedCallback();
this.unsubscribe.forEach(fn => fn());
}
render() {
return html`<div id="outlet"></div>`;
}
}
const routerItem = {
path: 'details/:name',
title: 'User detail {name}',
};
entering route /details/john
you should have value of state.router.title equal to User detail john
const routerItem = {
path: 'details/:name',
component: 'exmg-user-detail',
breadcrumb: {label: 'User {name}'},
};
entering route /details/john
you should have value of state.router.breadcrumbs equal to
[
{
"path": "/detail/:name",
"href": "/detail/john",
"label": "User john",
"disabled": false
}
]
You can also pass custom href
const routerItem = {
path: 'details/:name',
component: 'exmg-user-detail',
breadcrumb: {label: 'User {name}', href: '/custom/path/to/'},
};
You can pass anything (what is serializable) to the route which will be accessible in element
const routerItem = {
path: 'details/:name',
data: {
showAge: true,
supervisorId: 123,
},
};
Generally classes which are designed to be a pages in application should inherit form PageLitElement
.
That base class PageLitElement
is already connected with store and provide some hook methods.
You can override hook methods:
It is triggered whenever reducer router is updated.
It is triggered whenever any reducer update state
There is one exception when both hooks will be omitted: Generally transition from one route to another cause connecting to new page component and disconnect from old page component. At some point in time we have instantiated 2 pages components. Depending on lifecycle callback one of them will be mounted second one will be disconnected. After resolving navigation transition there will be notified component which will be newly rendered if any.
If you will update class property decorated by @property
then automatically
element will be rerender.
import {property} from 'lit-element';
import {PageLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
export class ExternalPage extends PageLitElement<StateWithRouter> {
@property({type: Object}) private router: Partial<RouterState> = {};
routeChanged(state: StateWithRouter, prevState: StateWithRouter) {
this.router = state.router;
}
}
You can pass broader state type or your rootState
import {property} from 'lit-element';
import {PageLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
interface ExtendedState extends StateWithRouter {
myReducer: object,
}
export class Page extends PageLitElement<ExtendedState> {
@property({type: Object}) private router: Partial<RouterState> = {};
@property({type: Object}) private app: any;
routeChanged(state: ExtendedState, prevState: ExtendedState) {
this.router = state.router;
this.app = state.myReducer;
}
}
Next to the Pages we can distinguish components/elements which are not coupled with router directly but needs to be
connected with store. In that case you should inherit from ConnectedLitElement
.
This component is base class for PageLitElement
. There is only small difference perhaps hooks routerChanged, stateChanged
should be triggered or not.
It is triggered whenever any reducer update state. It is also triggered when routerChanged
It is triggered whenever reducer router is updated in state
import {property} from 'lit-element';
import {ConnectedLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
interface RootState extends StateWithRouter {
myReducer: object,
}
export class MyElement extends ConnectedLitElement<RootState> {
@property({type: Object}) private router: Partial<RouterState> = {};
@property({type: Object}) private app: any;
routeChanged(state: RootState, prevState: RootState) {
this.router = state.router;
}
stateChanged(state: RootState) {
this.app = state.myReducer;
}
}
Is support exactly the same callback like defined in vaadin/router you can read here
Lifecycle callbacks may be used as guards, redirection or preventing leave router
import {BeforeEnterCommand, Location, Router} from '@exmg/exmg-lit-router/index-router';
import {property} from 'lit-element';
import {PageLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
export class Page extends PageLitElement<StateWithRouter> {
@property({type: Object}) private router: Partial<RouterState> = {};
users = new Map();
routeChanged(state: StateWithRouter, prevState: StateWithRouter) {
this.router = state.router;
this.app = state.myReducer;
}
onBeforeEnter(location: Location, command: BeforeEnterCommand, router: Router): any {
const {params} = location;
const {name = ''} = params || {};
if (!this.users.has(name) || !this.users.get(name)!.active) {
return command.redirect(router.urlForName('not-found', {}));
}
}
}
import {BeforeEnterCommand, Location, Router} from '@exmg/exmg-lit-router/index-router';
import {property} from 'lit-element';
import {PageLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
export class Page extends PageLitElement<StateWithRouter> {
@property({type: Object}) private router: Partial<RouterState> = {};
app: any;
routeChanged(state: StateWithRouter, prevState: StateWithRouter) {
this.router = state.router;
this.app = state.app;
}
onBeforeEnter(location: Location, command: BeforeEnterCommand, router: Router): any {
if (!this.app.authenticated) {
// here i redirect to named router "forbidden"
return command.redirect(router.urlForName('forbidden', {}));
}
}
}
Please note that even we prevent page leave next history entry is added. In that case you should back history right before prevent command
window.history.back();
// then return command.prevent();
import {BeforeLeaveCommand, Location, Router} from '@exmg/exmg-lit-router/index-router';
import {property} from 'lit-element';
import {PageLitElement, StateWithRouter, RouterState} from '@exmg/exmg-lit-router';
export class Page extends PageLitElement<StateWithRouter> {
@property({type: Object}) private router: Partial<RouterState> = {};
users = new Map();
haveTaskInProgress: boolean = true;
routeChanged(state: StateWithRouter) {
this.router = state.router;
}
onBeforeLeave(location: Location, command: BeforeLeaveCommand, router: Router): PreventResult | void {
if (this.haveTaskInProgress) {
alert('You should finish yor job before leave!');
window.history.back();
return command.prevent();
}
}
}
Let say we have setup <base href="/my-app"
and our route is
const routes = [
{
pathname: 'view1',
children: [
{
path: 'detail',
name: 'detail-route',
component: 'detail-component'
}
],
}
];
Then url to detail-component
might be:
To navigate you can use:
anchor Details
redux action
You can also programmatically navigate to url.
import {navigateToPath} from '@exmg/exmg-lit-router';
store.dispatch(navigateToPath({path: '/my-app/view1'}));
You can also programmatically change queryParams
import {updateQueryParams} from '@exmg/exmg-lit-router';
store.dispatch(updateQueryParams({queryParams: '?page=1&limit=10'}));
Router state reflect current page. Typing for RouterState looks:
interface RouterState {
baseUrl: string;
pathname: string;
component: string;
params: Record<string, string>;
title?: string;
data: Record<string, any>;
breadcrumbs: {
href: string;
path: string;
label: string;
disabled?: boolean;
}[];
queryParams: Record<string, string[]>;
}
Here is example of router state:
{
"router": {
"baseUrl": "/demo/",
"pathname": "/demo/users/details/allan",
"params": {
"name": "allan"
},
"data": {
"showHistory": false
},
"breadcrumbs": [
{
"path": "",
"disabled": false,
"href": "home",
"label": "HOME"
},
{
"path": "users-lazy",
"disabled": false,
"href": "/demo/users",
"label": "Users"
},
{
"path": "users/details/:name",
"disabled": false,
"href": "/demo/users/details/allan",
"label": "User allan"
}
],
"queryParams": {
"mode": [
"simplified"
],
"purchaseFilters[][status]": [
"pending",
"accepted",
"open"
]
},
"title": "User detail allan"
}
}
baseUrl - this is value which is set as <base href="/" />
pathname - this is absolute pathname of resolved route.
It also includes baseUrl
params - object with parameters which was defined in route path
config.
It will also includes parent routes parameters if any
data - plain object defined in router item config which can be serialized. This allow pass static context of certain route which will be accessible to read from router state.
breadcrumbs - it is just collection of items defined in router config which will allow to build breadcrumb component. The order of items is from root to the leaf
queryParams - object with parsed url search phrase. All keys are associated with an array of values
even search phrase contains unique key=value
entries.
Example ?a=x&a=x1&a[]=y&a[]=y1&a[key]=z&a[key]=z2
, available keys are a, a[], a[key]
and object looks like
{"a": ["x", "x1"], "a[]": ["y", "y1"], "a[key]": ["z", "z1"]}
title - title from router config with replaced params placeholders
Sometimes we need to generate urls for navigation or programmatically navigation or redirection.
For this use case you can use helpers src/router/url-generator
which are build on top of
vaadin url generation. Inside lifecycle callback it is also possible to use directly vaadin helpers
which are passed as parameters.
We can distinguish helpers:
Route name is optional configuration options which must be unique across all routers.
import {generateUrlByNameOrComponentName} from '@exmg/exmg-lit-router'
const url = generateUrlByNameOrComponentName('home-page-name');
const urlWithParameters = generateUrlByNameOrComponentName('home-page-name', {paramName: 'param-value'});
You can also generate url by component name but remember that component must be used in routes configuration only once. When same component is reused for more routes then you should stick to route name.
import {generateUrlByNameOrComponentName} from '@exmg/exmg-lit-router'
const url = generateUrlByNameOrComponentName('home-page-component');
const urlWithParameters = generateUrlByNameOrComponentName('home-page-component', {paramName: 'param-value'});
In lifecycle callback you can directly generate url
import {generateUrlByNameOrComponentName} from '@exmg/exmg-lit-router'
class ExmplePage {
onBeforeEnter(location: Location, command: BeforeEnterCommand, router: Router): any {
const url = router.urlForName('not-found', {});
}
}
Note that generating urls by name or components may failed when you are trying generate url
for children components which are not loaded yet.
Here is example of lazy loaded children routes
{
path: 'some-path',
children: () => import('./path/to/routes.js').then(module => {
return module.routes;
}),
},
if you really need lazy loading and have access to routs by name or component name
you can configure route:
{
path: 'some-path',
action: () => import('./path/to/routes.js') as Promise<any>,
children: (): RouteItem[] => (
[
{
path: '',
component: 'some-list-component',
name: 'some-list',
},
{
path: 'show/:id',
component: 'some-detail-component',
name: 'some-detail',
},
]
),
},
import {generateUrlByPath} from '@exmg/exmg-lit-router'
const url = generateUrlByPath('relative-path-to-base/domain');
const urlWithParameters = generateUrlByPath('relative-path-to-base/domain/:id', {id: '123'});
In lifecycle callback you can directly generate url
import {generateUrlByNameOrComponentName} from '@exmg/exmg-lit-router'
class ExmplePage {
onBeforeEnter(location: Location, command: BeforeEnterCommand, router: Router): any {
const url = router.urlForPath('relative-path-to-base/domain', {});
const urlWithParametrs = router.urlForPath('relative-path-to-base/domain/:id', {id: '123'});
}
}
It is also useful to generate current page url
import {generateUrl} from '@exmg/exmg-lit-router'
const url = generateUrl();
const generateUrl = generateUrl({id: '123'});
In lifecycle callback you can directly generate url
import {generateUrlByNameOrComponentName} from '@exmg/exmg-lit-router'
class ExmplePage {
onBeforeEnter(location: Location, command: BeforeEnterCommand, router: Router): any {
const url = location.getUrl({});
const urlWithParametrs = location.getUrl({id: '123'});
}
}
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Algorithm | Weighted | Shortest path guaranteed
Heuristic | Weighted | Shortest path not guaranteed


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I have always been interested in motorcycles. But not these modern models straight from the factory. They are missing something. They don't have what I call a soul. The 80s and 90s were the best for motorcycles. Those were times where safety or common sense didn't matter. The most important thing was how many horsepower a motorcycle has and at what speeds they will allow it to accelerate.
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Level: 55
- Psychic
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This analysis is a placeholder with a sample set. If you want to contribute new analyses for the site, contact Disaster Area on Discord.
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This analysis is a placeholder with a sample set. If you want to contribute new analyses for the site, contact Disaster Area on Discord.
Dig, Mimic, Psybeam, Rest. Substitute in Poke Cup.
This analysis is a placeholder with a sample set. If you want to contribute new analyses for the site, contact Disaster Area on Discord.
Author: zalarye
Quality Checked by: Plague von Karma
HTML by: Plague von Karma
Publish Date: 13th November 2020


Seaborn is a data visualization library based on matplotlib. It makes it easier to create more complicated plots. It also allows us to create much more visually appealing charts than offered by matplotlib.
It is a well-known phenomenon that the price of stocks in the same sector may sometimes be correlated over periods of time. A good example of this is Coca-Cola and Pepsi, which not only operate in the same industry but also sell similar products. We can determine if two stocks are correlated over a period of time by calculating the correlation coefficient of their prices. Let's examine a set of stocks in the banking industry and check whether any pair of stocks are correlated.
import seaborn as sns qb = QuantBook() tickers = [ "BAC", # Bank of America Corporation "COF", # Capital One Financial Corporation "C", # Citigroup Inc. "JPM", # J P Morgan Chase & Co "STI", # SunTrust Banks, Inc. "WFC", # Wells Fargo & Company ] symbols = [qb.AddEquity(ticker, Resolution.Daily).Symbol for ticker in tickers]
Let's make a history call for the close values over a period of a few months for our banking stocks. Then we can use the pandas method dataframe.corr()
to calculate the correlation matrix.
history = qb.History(symbols, datetime(2020, 2, 1), datetime(2020, 7, 1), Resolution.Daily).close.unstack(level=0) correlation_matrix = history.corr()
Then using seaborn we can chart our correlation matrix as a heatmap, revealing to us which stocks were correlated over that period of time. Correlation values close to 1 correspond to closely correlated stocks.
sns.heatmap(correlation_matrix)


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nips nips2010 nips2010-166 nips2010-166-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata
Abstract: A number of objective functions in clustering problems can be described with submodular functions. In this paper, we introduce the minimum average cost criterion, and show that the theory of intersecting submodular functions can be used for clustering with submodular objective functions. The proposed algorithm does not require the number of clusters in advance, and it will be determined by the property of a given set of data points. The minimum average cost clustering problem is parameterized with a real variable, and surprisingly, we show that all information about optimal clusterings for all parameters can be computed in polynomial time in total. Additionally, we evaluate the performance of the proposed algorithm through computational experiments. 1
[1] W. H. Cunningham: Optimal attack and reinforcement of a network. Journal of the ACM 32 (1985), pp. 549–561.
[2] R. P. Dilworth: Dependence relations in a semimodular lattice. Duke Mathematical Journal, 11 (1944), pp. 575–587.
[3] J. Edmonds: Submodular functions, matroids, and certain polyhedra. Combinatorial Structures o and Their Applications, R. Guy, H. Hanani, N. Sauer, and J. Sch¨ nheim, eds., Gordon and Breach, 1970, pp. 69–87.
[4] S. Fujishige: Submodular Functions and Optimization (Second Edition). Elsevier, Amsterdam, 2005.
[5] O. Goldschmidt and D. S. Hochbaum: A polynomial algorithm for the k-cut problem for ﬁxed k, Mathematics of Operations Research, 19 (1994), pp. 24–37.
[6] S. Iwata: Submodular function minimization. Mathematical Programming, 112 (2008), pp. 45–64.
[7] V. Kolmogorov: A faster algorithm for computing the principal sequence of partitions of a graph. Algorithmica 56, pp. 394-412.
[8] Y. Kawahara, K. Nagano, and Y. Okamoto: Submodular fractional programming for balanced clustering. Pattern Recognition Letters, to appear.
[9] M. Narasimhan and J. Bilmes: Local search for balanced submodular clusterings. In Proceedings of the 12th International Joint Conference on Artiﬁcial Intelligence (IJCAI 2007), pp. 981–986.
[10] M. Narasimhan, N. Jojic, and J. Bilmes: Q-clustering. In Advances in Neural Information Processing Systems, 18 (2006), pp. 979–986. Cambridge, MA: MIT Press.
[11] A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. Advances in neural information processing systems, 2:849–856, 2002.
[12] K. Okumoto, T. Fukunaga, and H. Nagamochi: Divide-and-conquer algorithms for partitioning hypergraphs and submodular systems. In Proceedings of the 20th International Symposium on Algorithms and Computation (ISAAC 2009), LNCS 5878, 2009, pp. 55–64.
[13] M. Queyranne: Minimizing symmetric submodular functions, Mathematical Programming, 82 (1998), pp. 3–12.
[14] A. Schrijver: Combinatorial Optimization — Polyhedra and Efﬁciency. Springer-Verlag, 2003.
[15] U. von Luxburg: Tutorial on spectral clustering. Statistics and Computing 17 (2007), pp. 395– 416.
[16] L. Xu, J. Neufeld, B. Larson, and D. Schuurmans. Maximum margin clustering. Advances in neural information processing systems, 17:1537–1544, 2005.
[17] L. Zhao, H. Nagamochi, and T. Ibaraki: Approximating the minimum k-way cut in a graph via minimum 3-way cuts. Journal of Combinatorial Optimization, 5 (2001), pp. 397–410.
[18] L. Zhao, H. Nagamochi, and T. Ibaraki: A uniﬁed framework for approximating multiway partition problems. In Proceedings of the 12th International Symposium on Algorithms and Computation (ISAAC 2001), LNCS 2223, 2001, pp. 682–694. 9


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{{application.organizationName}} - {{application.name}} {{application.approvalState | enum:'approval.state.'}}
Application Date: {{application.submittedAt | date: 'yyyy-MM-dd'}}


Social networking, identity and privacy have been at the center of how we interact with the Web in the last decade. The explosion of social networking sites has brought the world closer together as well as created new points of pain regarding ease of use and the Web. Remembering login details, passwords, and sharing private information across the many websites and social groups that we are a part of has become more difficult and complicated than necessary. The Social Web is designed to ensure that control of identity and privacy settings is always simple and under one's control. WebID is a key enabler of the Social Web. This specification outlines a simple universal identification mechanism that is distributed, openly extensible, improves privacy, security and control over how one can identify themselves and control access to their information on the Web.
There are a number of concepts that are covered in this document that the reader may want to be aware of before continuing. General knowledge of public key cryptography and RDF [[!RDF-PRIMER]] and RDFa [[!RDFA-CORE]] is necessary to understand how to implement this specification. WebID uses a number of specific technologies like HTTP over TLS [[!HTTP-TLS]], X.509 certificates [[!X509V3]], RDF/XML [[!RDF-SYNTAX-GRAMMAR]] and XHTML+RDFa [[!XHTML-RDFA]].
A general Introduction is provided for all that would like to understand why this specification is necessary to simplify usage of the Web.
The terms used throughout this specification are listed in the section titled Terminology.
Developers that are interested in implementing this specification will be most interested in the sections titled Authentication Sequence and Authentication Sequence Details.
The WebID specification is designed to help alleviate the difficultly that remembering different logins, passwords and settings for websites has created. It is also designed to provide a universal and extensible mechanism to express public and private information about yourself. This section outlines the motivation behind the specification and the relationship to other similar specifications that are in active use today.
TODO
This section needs to be re-written. The flow and grammar leaves much to be desired. -- manu
WebID is compatible with OpenID. Both protocols use a URI that dereferences to a Personal Profile Document. This Personal Profile Document is where further information about an identity can be discovered. This mechanism is compatible with both WebID and OpenID. Therefore, WebID does not intend to replace OpenID, but can work beside OpenID by sharing the content in the Personal Profile Document.
That said, there are a number of benefits that WebID achieves over OpenID:
WebID gives people and other agents a WebID URI for identification. OpenID also provides a URI to a Personal Profile Document. However, in the case of WebID, one does not need to remember the URI since the User Agent remembers the URI on behalf of the person browsing. To log in on a WebID web site there is no need to enter any identifier like one has to do for OpenID. Just one click tells the browser to send the WebID URI. The person that is browsing does not need to remember either their WebID URI or the website password, and because no password or other secret credential is exchanged with the website, WebID is immune from phishing attacks.
While WebID works well in a browser environment, it is also very useful outside of the browser environment. WebID can also operate without requiring the use of any passwords. This is useful to developers that may want to use WebID to perform server-to-server or peer-to-peer verification of identity. WebID works for automated agents such as Search Agents, API Agents, and other automated mechanisms that are often found outside of the browser environment.
The WebID protocol requires just one direct network connection to establish identity via the client. The server requires one connection to the client and one connection to retrieve the WebID Profile if it does not have the credential information cached. Compare this to the much more complex OpenID sequence, which requires six connections by the client to establish a login. In a world of distributed data where each site can point to data on any other site, multiple connections become costly to manage.
WebID builds on a number of well established Internet and Web standards; REST, RDF [[RDF-PRIMER]], RDFa [[!RDFA-CORE]], RDF/XML [[!RDF-SYNTAX-GRAMMAR]], TLS [[!HTTP-TLS]], and X.509 [[!X509V3]]. By building on proven technologies which have been integrated into Web browsers for many years, it makes both explaining and implementing WebID easier on developers. As a matter of fact, there were already three interoperable implementations of WebID before this specification was written.
Since WebID is RESTful, you can perform basic HTTP operations to
GET
your WebID, and if you needed update it, you can use
HTTP PUT
semantics. You can also create a WebID via
POST
. This is improved from the OpenID specification, which
requires a new set of operations described in the OpenID Attribute Exchange
specification.
WebID is built on RDF and thus enables all of the advanced semantic web concepts that RDF enables. For example, a developer may perform machine reasoning with a WebID. One can construct machine-executable statements like "If this WebID claims to be a friend of one of our partner WebIDs that is trusted and the relationship is bi-directional, trust the WebID." While OpenID attempts to support this use case by mapping OpenID to RDF, it's far easier to do with WebID because WebID is natively built on RDF. This also allows to include WebID profiles into HTML documents with RDFa.
It is easy to extend a WebID with new attributes via RDF. The power of RDF allows developers to add extensions to WebID by defining new vocabularies that they publish. There is no authorization process necessary and thus WebID allows for distributed innovation. Every WebID property is a URI, which when clicked, can give you yet more information about what the property means. A developer can create new usage classes by extending their vocabulary at will. A developer can add relationships to a WebID by simply adding more HTML to the developer's page. OpenID does not provide any type of distributed innovation akin to RDF.
WebID is truly decentralized - with WebID you get a web of trust. OpenID only supports the Web of Trust model if you indirectly trust the OpenID provider. In other words - OpenID is not truly decentralized. In OpenID you must trust OpenID providers. With WebID you only have to trust the people and the organizations with which you are communicating. In other words, you don't have to ask anyone whether or not you can trust your friends. You can query people that you trust directly to see if someone is trustworthy or not. There is no need for a central WebID authority.
WebID is fully distributed. Anyone can setup a WebID by placing a single file on a web server of their choosing, for example on their own domain name. There is no need for a special OpenID-like provider service. You can also use a WebID hosting provider, but it's not necessary for WebID to work. While it is possible to run an OpenID server, other OpenID applications may not trust you and thus you won't be able to fully utilize your private OpenID credentials. The reason that there are a few large OpenID providers and very few small OpenID providers is because of this trust design issue related to OpenID.
WebID does not require HTTP redirects. Redirects are problematic on many cell phones because telecommunication companies rely heavily on proxy servers which may selectively block redirects.
A WebID provider is 100% compatible with an OpenID provider and thus can inter-operate with OpenID-powered networks.
This last claim needs to be backed up by some bug reports or documentation on the actual problems.
OAuth and WebID are mutually beneficial when used together. WebID can be used to provide RSA parameters to the RSA-SHA1 signature method required by OAuth 1.0. WebID can also be used to establish the consumer_key and HTTPS connection that will be used to transmit OAuth Tokens in OAuth 2.0.
2010-07-31 Initial version split from the core WebID specification.
The following people have been instrumental in providing thoughts, feedback, reviews, criticism and input in the creation of this specification:


Generators
The generate module contains various methods for generating new appliances
and appliance traces.
Methods
-
disaggregator.generate.generate_instance(starts, periods, freq)[source]
Returns a randomly generated appliance instance for a particular time
period.
-
disaggregator.generate.generate_refrigerator_trace(start, periods, freq)[source]
Uses hmm parameters learned from Pecan Street data to generate samples
for a fairly normal cycling refrigerator.
Uses a three state HMM.
-
disaggregator.generate.generate_trace(start, periods, freq)[source]
Returns a randomly generated appliance trace for a particular time period.
Ex) generate_trace(datetime.datetime(2013,1,1),96,‘15T’))


Actress Damilola Shares VIDEO Of Her Car With The Message 'I Hate You' Scribbled On It By An Unknown Person
by Peace FM OnlineNollywood actress Damilola Adegbite has addressed her haters after someone mysteriously left a spiteful message on her car.

 I must be doing something right'.
See the video below...
Featured Video


DAS TRIO
Reviewed by Harvey Karten, Ph.D. Attitude Films Director: Hermine Huntgeburth Writer: Hermine Huntgeburth, Horst Sczerba, Volker Einrauch Cast: Gotz George, Christian Redl, Jeanette Hain, Felix Eitner
It's easy to see why Gotz George is one of Germany's most popular actors, though he is not well known in the U.S. With his blazing eyes and ruggedly handsome face, this sixty- year-old might be equated with America's Robert Redford or Warren Beatty, his expressions somehow reminding one of Peter O'Toole. In "The Trio," or "Das Trio" as the film is called in the country of its production, George plays Zobel, a homosexual pickpocket with the free-and-easy life style that such a profession would evoke, except for one thing. He is envious of one younger man, Rodolf (Felix Eitner), whom he has taken in as a partner in both trade and bed, but who has eyes for Lizzie (Jeanette Hain)--who happens to be Zobel's daughter. If this sounds like a movie with the makings of a farce, a comedy, and a buddy movie, you'd be on the money. For a potential audience who may still not be aware that the Germans can produce light and airy romps, this film could set them straight (so to speak).
The story opens on a carnival visited by Zobel, his daughter by a heterosexual union, Lizzie, and Zobel's lover, Karl (Christian Redl). When a young thief, Rodolf, runs off with Karl's purse, he is caught by the victims and humiliated by being forced to strip to the waist. Later, when the aging Karl is hit by a car and near death, Lizzie finds out where Rodolf lives and persuades him to join their merry group by taking Karl's place. After a crash course in pickpocketing, the bisexual Rodolf proves to have a light hand and also an eye for both of his partners. The trio travel through parts of Germany first via their mobile home, ultimately by transcontinental train, successfully plying their trade until both Lizzie and Zobel discover that they are being two-timed and plot a course of action that alters their lives forever.
Given the elements of farce, camaraderie, sentimental drama and some basic looks at the new, prosperous and fun- loving Germany, "The Trio" should prove to be an easy crossover that could charm viewers of various carnal choices. One riotous scene takes place in the trailer as Zobel showers with Rodolf, and Lizzie, about to catch them in the act, must be persuaded to leave the quarters. The scene quickly reverses course: Lizzie and Rodolf then have to pretend to Zobel that nothing is going on between them. The film is peppered with various incidents, giving the audience tips on how to lift wallets and purses.
The screenwriters, who include director Hermine Huntgeburth, seem to have an obsession about age. Twice during the comedy, the performers refer to bystanders as "the old lady." The balding Karl, who wears a silly rug, is fearful of being replaced by a younger man. And the aging Zobel is accused by his daughter Lizzie of harboring jealous and vindictive thoughts because he fears he will no longer be able to attract sexual partners. "The Trio" has a cute coda, which promises that the art of pickpocketing will be passed on to future generations.
Not Rated. Running Time: 97 minutes. (C) 1998 Harvey Karten
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Students encounter problems with formatting headings according to the APA Style surprisingly often. 9% of manuscripts of submitted to the Journal of European Psychology Students manifested a problem in that area (Vainre, 2011). Even though compared to the previous version of the manual, the APA has simplified its standards considerably, much confusion still seems to be there. Hopefully this post will clarify a thing or two.
Main principles
APA recognises 5 levels of headings which should be used in the order, beginning with level 1. This is how the levels are formatted:
Some restrictions
There are some things to note as things are not that plain and simple. To begin with, even though we talk about levels of headings, the headings themselves do not have seriation (i.e., in your paper don't write 2. Method and 2.1. Participants under it, it's wrong). Secondly, Method, Results and Discussion are level 1 headings (if it's otherwise in your paper, make sure you have followed the structure of your paper according to the APA Style).
In principle, you can use as many levels of headings as the structure of your paper requires, however, when adding subheadings (level 2 and further) make sure the subheadings have their same-level counterpart under a common higher level. This means that should you be using one 2nd level heading under Method (e.g., Participants), you should also have another 2nd level heading under Method (e.g., Procedure; see example below), otherwise dividing the section into subheadings is considered unjustified (and hence false). Should there be no need for a second subheading, rearrange your text so that it fits all under the higher level of heading.
Special cases
Not all headings should be formatted according to this system. For example, although headings do not call for a page break, Abstract, Introduction and References require an exception of beginning a new page. Here are some more things to pay attention when formatting these three:
- Abstract, as said, should begin from a new page. It's the second page of the manuscript/paper. The title "Abstract" should be centered, not bold and should begin after the line under the running head.
- Introduction starts on the 3rd page. In fact, its start on 3rd page is so fixed APA style regards writing the word "Introduction" unnecessary, also do not repeat the title of your paper (it's shown in the running head!). Simply begin the page with the first sentence of your introduction. In fact, if you don't use any subheadings in your introduction, your first first-level heading after abstract might be "Method".
- References also begin a new page and should not be bold.
An example
The following example (modified from Lee, 2011) should further illustrate how to apply the above-mentioned information, so that your headings are surely as they should be. Note how every level of heading has their counterpart under the higher level of heading.
| Anxiety Made Visible: Multiple Reports of Anxiety and Rejection Sensitivity | This is the running head | |
| Our study investigated anxiety and rejection sensitivity. In particular, we examined how participant self-ratings of state and trait anxiety and rejection sensitivity would differ from the ratings of others, namely, the close friends of participants. | This is the introduction. Note, that it has no title. | |
| Method | Level 1 | |
| Participants | Level 2 | |
| Participants were 80 university students (35 men, 45 women) whose mean age was 20.25 years (SD = 1.68). Approximately 70% of participants were European American, 15% were African American, 9% were Hispanic American, and 6% were Asian American. They received course credit for their participation. | ||
| Procedure | Level 2 | |
| Recruitment. We placed flyers about the study on bulletin boards around campus, and the study was included on the list of open studies on the Psychology Department website. To reduce bias in the sample, we described the study as a “personality study” rather than specifically mentioning our target traits of anxiety and rejection sensitivity. | Level 3 | |
| Session 1: Psychiatric diagnoses. During the initial interview session, doctoral level psychology students assessed participants for psychiatric diagnoses. Eighteen percent of the sample met the criteria for generalized anxiety disorder according to the Structured Clinical Interview for DSM–IV Axis I Disorders (First, Gibbon, Spitzer, & Williams, 1996). | Level 3 | |
| Session 2: Assessments. All participants attended a follow-up session to complete assessments. Participants were instructed to bring a friend with them who would complete the other-report measures. | Level 3 | |
| Self-report measures. We first administered several self-report measures, as follows. | Level 4 | |
| State and trait anxiety. Participants took the State–Trait Anxiety Inventory for Adults (STAI–A; Spielberger, Gorsuch, Lushene, Vagg, & Jacobs, 1983), a 40-item self-report measure to assess anxiety. | Level 5 | |
| Rejection sensitivity. Participants took the Rejection Sensitivity Questionnaire (RSQ; Downey & Feldman, 1996), an 18-item self-report measure that assesses rejection sensitivity. | Level 5 | |
| Other-report measures. We also included other-report measures to obtain independent sources of information about participants’ levels of anxiety and rejection sensitivity. | Level 4 | |
| State and trait anxiety. We adapted the STAI–A so that questions referred to the target participant rather than the self. | Level 5 | |
| Rejection sensitivity. We adapted the RSQ so that questions referred to the target participant rather than the self. | Level 5 | |
| Results | Level 1 |
References
American Psychological Association. (2009). Publication manual of the American Psychological Association (6th Ed.). Washington, DC: American Psychological Association.
Lee, C. (2011, April 14). How to use five levels of heading in an APA Style paper. APA Style Blog. Retrieved from: http://blog.apastyle.org/apastyle/2011/04/how-to-use-five-levels-of-heading-in-an-apa-style-paper.html
Lee, C. (2009, July 09). Five essential tips for APA Style headings. APA Style Blog. Retrieved from: http://blog.apastyle.org/apastyle/2009/07/five-essential-tips-for-apa-style-headings.html
Vainre, M. (2011, Nov 20). Common mistakes made in APA Style. Journal of European Psychology Students Bulletin. Retrieved from: http://blog.efpsa.org/2011/11/20/common-mistakes-made-in-apa-style
Edited by: Sina Scherer


Weather Data Visualization and Prediction with TensorFlow.js
Weather Data Visualization and Prediction with TensorFlow.js
Description
This demo showcases
visualization of temporal sequential data with
the tfjs-vis
library
predicting future values based on sequential input data using
various model types including linear regressors, multilayer
perceptrons (MLPs) and recurrent neural networks (RNNs).
To visualize and explore the data that goes into the model,
select various columns of the dataset in the
"Data series 1" and "Data series 2" dropdown menus. Experiment with normalization
and no-normalization options. Try showing the data at different time spans.
At time spans narrower than "full", you can use the left and right arrow
buttons to navigate along the time axis. Finally, try plotting two data series
against each other as a scatter plot by checking the "Plot against each other"
checkbox.
To train a linear-regression model or a multilayer perceptron (MLP),
specify the number of training epochs
and click "Train model". Wait patiently for the training to finish.
Loss values from the training and validation dataset will be refreshed in the
tfjs-vis visor surface on the right-hand side of the page at the end of
every training epoch. Experiment with regularization and dropout and observe
their effects on overfitting.


{% extends "clustering.html" %} {% block title %}State Estimation{% endblock %} {% block head %} {{ super() }} {% endblock %} {% block instructions %} Upload a file containing single-cell RNASeq data, where each row is a gene and each column is a cell. {% endblock %} {% block method %}
This runs UNCURL state estimation on the given dataset, and returns an interactive visualization of the identified cell types. For details on the method, see https://doi.org/10.1101/2<IP_ADDRESS>737
For help on how to use UNCURL-App, see the Help page.
{% endblock %} {% block input %} {% endblock %}


Twitter exempts some 'cause-based' messages from political ad ban
Twitter said Friday its ban on political ads will exempt "caused-based" messages on topics related to social or environmental issues.
The San Francisco-based messaging platform unveiled details of its move to bar all paid political messages, starting November 22, while easing concerns expressed by activists for social causes.
"Ads that educate, raise awareness, and/or call for people to take action in connection with civic engagement, economic growth, environmental stewardship, or social equity causes are allowed," Twitter said in its new policy.
"However, they may not reference prohibited political advertisers or political content."
Twitter announced the political ad ban on October 30, saying the move was aimed at countering the spread of misinformation by politicians.
Chief executive Jack Dorsey said at the time the company wants to head off potential problems from "machine learning-based optimization of messaging and microtargeting, unchecked misleading information, and deep fakes."
Under Twitter's new policy, even exempted cause-based ads would face restrictions on how the messages are targeted—advertisers may use some geographic targeting "at the state, province or regional level and above," but not by specific locality.
These ads could also be targeted by "keyword" searches on the platform or by "interests" previously indicated by users, but may not be based on political leanings or affiliations or other more refined techniques.
The political ban has drawn mixed reactions: some argue it puts pressure on Facebook to follow suit or take other steps to curb the spread of misinformation from politicians; others say a ban will be difficult to enforce.
Social media platforms have been challenged by President Donald Trump's campaign and its use of ads that contain claims critics say have been debunked by independent fact-checkers.
But Trump 2020 campaign manager Brad Parscale mocked the ban, saying last month, "Twitter just walked away from hundreds of millions of dollars of potential revenue, a very dumb decision for their stockholders."
Some analysts point out that the ban will not affect "organic" content, or messages from politicians that are shared or retweeted by supporters, and that it could encourage the use of "bots" or paid users to amplify the tweets.


About Us
How Do We Work?
We, At SARDAR JI Building Solutions, Operates primarily in the fields of Supplying Building Materials and painting contracting with a talented team painter.
We are leading Building Material suppliers stationed at Bilaspur, Chhattisgarh doing business in CHATTISGARH, MADHYA PRADESH, MAHARASHTRA, JHARKHAND, ORISSA. We at SARDAR JI Building Solutions, provide Architects, Interior Designers, civil contractors, Painters, Plumbers, Vaastu Facilities, etc. as a part of the service. We deal with very famous and Indian Railways approved brands such as TATA, GK, JINDAL PANTHER, MSP, and others like KAMDHENU, GOEL, etc. We are distributors and suppliers of TATA PRAVESH DOORS, GK TMT, ULTRATECH CEMENT, ECOREX AAC BLOCKS, ASIAN PAINTS, INDIGO PAINTS, BIRLA WALL CARE AND WHITE CEMENT, SINTEX WATER TANKS, ICA WOOD COATINGS & LAMINATIONS, SUPREME PVC PIPES, SAND, AGGREGATE, STAINLESS STEEL DOORS & WATER TANKS & MANY MORE...
We also have the concept of Buildmart of Building Materials such as Reti (Sand), Gitti( Aggregate), TMT Bars, Cement, AAC Blocks, Bricks, Paint, Putty, Water-Tank, PVC Pipes, Wood Polish, Pest Control, Rain Water Harvesting, Waterproofing, Generator Set, ACP, Venetian Plaster, Tiles & Granite, Plywood, Sanitaryware, uPVC Windows, Electrical, Automation, GI Sheet, Power Backups & Inverter, Veneers and lots more. Also, specialize in all kinds of residential and commercial Painting work.
We are an authorized dealer of Asian Paint, Indigo Paint, Birla Wall Care, Sirca Wood Coating, ICA, Blue dip Thinner, and lots of more materials which are required for Painting of your Building, Commercial spaces, and houses. We have a large team of Painter who are expert in painting. We take With Material Labour Contract for painting.
We have set ourselves apart from other painting contractors in the market. We take pride in our craftsmanship, our quality assurance, and our track record of our ever-lasting relationships with our esteemed customers.
WorkFlow
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Services
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Construction Materials
We Provide Construction Materials like Cements, Iron, Steel & TMT Rebars, AAC Blocks, Wallcare Putty, Construction Chemicals And Adhesives, Water Tanks and PVC Pipes etc...
Our Achievements Till Date
Happy Clients Happy And Satisfied Customers.
Projects Successfully Completed Within The Deadline.
Years of experience In The Field Of Construction Materials.
Awards & Recognition
Avijeet Singh
Customer
Excellent service and efficient pricing. Go for it.
Mukesh Yadav
Customer
Super building material supplier. Everything’s available for construction products and home decorations.
Mark Harris
Customer
The way of explaining things is excellent and worth buying from them for materials related to construction and building materials. They have A to Z materials for any type of construction.
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Customer
Will definitely recommend and buy from them again for materials related to construction or decoration of home, shop or anything regarding construction materials.
Team
Our Owner
Er. Tavinder Singh Arora
OwnerSr. Navdeep Singh Arora
Co-OwnerEr. Satdeep Singh Arora
Co-OwnerContact
Contact Us
Location:
Main Road, Dayalband, Bilaspur (C.G) 495001
Email:
<EMAIL_ADDRESS>Call:
+91 9669 812000
+91 9669 512000


ROAD TRAFFIC STATUS
directions_car
ROAD 1
2 CARS
directions_car
ROAD 2
4 CARS
directions_car
ROAD 3
11 CARS
directions_car
ROAD 4
13 CARS
AVERAGE TRAFFIC (ROAD 1)
12,10,9,6,5,6,10,5,7,5,12,13,7,12,11
- TODAY 1 200 CARS
- YESTERDAY 3 872 CARS
- LAST WEEK 26 582 CARS


Instead of pagination, it is possible to get a streaming response
by adding stream=true
to the URL query parameters.
This is more efficient than pagination because the server does not
generate the whole response before sending it to the client, so
memory consumption remains low even when the response is very large.
To take full advantage of the streaming response on the client side, it is recommended to use an iterative JSON parser such as ijson.
Notes:


Hello, World
* Simple Ajax
* Canvas: Spinning Box
Basic DOM Manipulation
Event Handling
Calling Haste from JavaScript
Integration w/LocalStorage
Client-side "Routing" w/HashChange


Evenly distributes child elements within a parent element. - Use `display: flex` to use the flexbox layout. - Use `justify-content: space-between` to evenly distributes child elements horizontally. The first item is positioned at the left edge, while the last item is positioned at the right edge. - Alternatively, you can use `justify-content: space-around` to distribute the children with space around them, rather than between them.
Item1
Item2
Item3
Item4


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Analysis of greenhouse gas (GHG) emissions under elevated atmospheric CO2 concentrations.
Table of contents
Background
Greenhouse gas (GHG) emissions associated with human activities are well known to be the major contributors to climate change worldwide as reported by the Intergovernmental Panel on Climate Change (IPCC, 2013). These include:
- carbon dioxide (CO2)
- methane (CH4)
- nitrous oxide (N2O)
The Figure 1 shows the huge increase in GHG concentration in the atmosphere since the beginning of the so-called « industrial revolution » which started onwards the middle of the 19th century.
Figure 1: Atmospheric concentrations of important greenhouse gases over the last 2,000 years. Increases since about year 1750 are attributed to human activities in the industrial era. Concentration units are parts per million (ppm) or parts per billion (ppb). Source: Intergovernmental Panel on Climate Change (IPCC, 2007).
While the concentration of these gases continue to rise, forest ecosystems have been recently proposed as a natural solution to climate change (Griscom et al., 2017 [1]; Fargione et al., 2018 [2]) because of their significant capacity to sequestrate atmospheric carbon (C) within the soil profile and aboveground vegetation (Le Quéré et al., 2018 [3]).
Past research has also revealed that current atmospheric CO2 levels could increase by about 150 ppm before the year 2100 (Stocker et al., 2013 [4]). The increase of CO2 level in the atmosphere is largely expected to promote a greening effect (i.e. plant growth) in forests globally, however, given the concomitant expected global increase in droughts and aridity levels, such CO2 fertilisation effect is under debate due to increased water limitation feedback effects (Brodribb et al., 2020 [5]).
The EucFACE Experiment
The Eucalyptus Free-Air CO2 Enrichment (EucFACE) experiment at Western Sydney University, near Richmond, New South Wales, Australia (33°37’S, 150°44’E, 23 m altitude) represents a unique facility for studying the effect of elevated atmospheric CO2 concentration on a remnant Cumberland Plain Woodland. A detailed description of the site, including vegetation and soil characteristics, can be found elsewhere (Crous et al., 2015 [6]; Drake et al., 2016 [7]; Gimeno et al., 2016 [8]).
The EucFACE is composed of six circular plots (henceforth called “rings”), 25 m in diameter and 28 m high. Mature old-growth (> 75-year-old) Eucalyptus tereticornis is the dominant species; however, the understorey vegetation varies significantly between rings (Hasegawa et al., 2018 [9]). Three rings are used as control and are fumigated with ambient air (aCO2) while the other three rings are fumigated with elevated CO2 concentrations (eCO2). Fumigation with CO2 is set to 150 ppm above that of the control rings (ambient + 150 ppm) in order to simulate the climate prediction for the year 2100 (Stocker et al., 2013 [4]). Fumigation started in September 2012 with +30 ppm CO2 and was ramped periodically for six months (+30 ppm every 4-5 weeks) until February 2013 (540 ppm).
Video 1: Moving up a ring at the EucFACE site.
Picture 1: Bird’s eye view of the 6 rings at EucFACE Site.
Aims & Hypotheses
Here, we conducted monthly measurements of (in situ) net CH4, N2O and CO2 fluxes from May 2013 to June 2016 to investigate the effects of elevated atmospheric CO2 (ambient vs. +150 ppm) concentrations on soil net CH4, N2O and CO2 fluxes from a mature Eucalypt woodland in New South Wales, Australia. The Eucalyptus Free-Air CO2 Enrichment (EucFACE) experiment is a unique research station established in 2012 in an Australian endangered woodland ecosystem (the Cumberland Plain).
The main aims of the present study were to:
-
Quantify the net CH4, N2O and CO2 fluxes under predicted elevated CO2 (eCO2) concentrations
-
Identify which climo-edaphic factors could best predict soil GHG emissions
We considered three different alternative hypotheses:
-
In mature forest, the feedback response of GHG fluxes to eCO2 will be minimal. The reason is that in old forests, trees are not expected to absorb large amount of CO2 (vs. plant growing phase), leading to reduced responses for ecosystem processes such as gas emissions
-
The response (sink or production) of each GHG investigated to eCO2 treatment will differ, with an expected increase of CO2 and N2O emissions while CH4 flux rates will be reduced
-
The magnitude of the GHG emissions will be strongly linked to climo-edaphic properties, such as rainfall events and soil water availability as it is responsible for regulating soil biological processes, particularly in water-limited environments.
Experimental Setup
Greenhouse gas measurements
The collection of air samples for GHG analysis was conducted monthly, from seven collars permanently inserted into the ground, within each ring. The GHG sampling campaigns occurred over three years, between May 2013 to June 2016 (no sampling took place in May 2015), in a total of 37 monthly collections. More details related to the sampling strategy can be found in the supporting information section.
The measurement of the net GHG fluxes between soil and atmosphere was estimated using a “static chamber method”, or non-flow-through non-steady-state (Rochette & Eriksen-Hamel, 2008 [10]. Throughout the course of the experiment (chamber design, sample collection and analysis, data processing), guidelines from de Klein et al. (2012) [11] were followed. Briefly, a 25 ml air sample was collected from the chamber headspace (chamber characteristics: diameter ≈ 20 cm; height above ground ≈ 11 cm; headspace volume ≈ 5 L; soil insertion depth ≈ 7 cm) during a 45-minute deployment time and at four time points (tamb, t15, t30 and t45), see supporting information section for further details. The concentrations of CH4, N2O and CO2 were detected on a gas chromatography system against a seven-point serial dilution of a GHG standard mixture (5 ppm CH4, 600 ppm CO2 and 1 ppm N2O). Detailed gas chromatography system characteristics and chamber design are in supporting information.
The GHG concentrations were converted from ppm values to mass-based concentrations using a conversion factor derived from the ideal gas law (PV = nRT), where an air pressure P of 1 atm was assumed and an universal gas constant R of 0.082057 L atm K-1 h-1 mol-1 h-1. After including the chamber dimensions (headspace volume V, chamber’s base area A) and the corresponding molecular masses, the final flux units were μg-C(N) m-2 h-1 for CH4 and N2O, and mg-C m-2 h-1 for CO2. Greenhouse gas fluxes reported as negative represent net sinks (flux from atmosphere to soil).
Illustration of the headspace volume sampling method
| Air Sampling Chamber | Sampling Headspace Volume through a Sampling Port |
|---|---|
References
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