Overlays are UI elements that are painted onto Connections, such as Labels or Arrows.
jsPlumb comes with five types of Overlays:
PlainArrow
and Diamond
are actually just configured instances of the generic Arrow
overlay (see examples).
A key concept with Overlays is that of their location.
For a Connector, the location of an Overlay refers to some point along the path inscribed by the Connector. It can be specified in one of three ways:
For an Endpoint, the same principles apply, but location is specified as an [x,y] array. For instance, this would specify an Overlay that was positioned in the center of an Endpoint:
location:[ 0.5, 0.5 ]
Whereas this would specify an Overlay that was positioned 5 pixels along the x axis from the top left corner:
location: [ 5, 0 ]
And this would specify an Overlay that was positioned 5 pixels along the x axis from the bottom right corner:
location: [ -5, 0 ]
All Overlays support these two methods for getting/setting their location:
You can specify one or more overlays when making a call to jsPlumb.connect
, jsPlumb.addEndpoint
or jsPlumb.makeSource
(but not jsPlumb.makeTarget
: overlays are always derived from what the source of a Connection defines) The three cases are discussed below:
In this example we'll create an Arrow with the default options for an Arrow, and a label with the text "foo":
jsPlumb.connect({
...
overlays:[
"Arrow",
[ "Label", { label:"foo", location:0.25, id:"myLabel" } ]
],
...
});
This connection will have an arrow located halfway along it, and the label "foo" one quarter of the way along. Notice the id parameter; it can be used later if you wish to remove the Overlay or change its visibility (see below).
Another example, this time with an absolute location of 50 pixels from the source:
jsPlumb.connect({
...
overlays:[
"Arrow",
[ "Label", { label:"foo", location:50, id:"myLabel" } ]
],
...
});
Note in this example that we use the parameter connectorOverlays
and not overlays
as in the last example. This is because overlays
would refer to Endpoint Overlays:
jsPlumb.addEndpoint("someDiv", {
...
overlays:[
[ "Label", { label:"foo", id:"label", location:[-0.5, -0.5] } ]
],
connectorOverlays:[
[ "Arrow", { width:10, length:30, location:1, id:"arrow" } ],
[ "Label", { label:"foo", id:"label" } ]
],
...
});
This connection will have a 10x30 Arrow located right at the head of the connection, and the label "foo" located at the halfway point. The Endpoint itself also has an overlay, located at [ -0.5 * width, -0.5 * height ] relative to the Endpoint's top,left corner.
Note in this example that we again use the parameter connectorOverlays
and not overlays
. The endpoint
parameter to jsPlumb.makeSource
supports everything you might pass to the second argument of a jsPlumb.addEndpoint
call:
jsPlumb.makeSource("someDiv", {
...
endpoint:{
connectorOverlays:[
[ "Arrow", { width:10, length:30, location:1, id:"arrow" } ],
[ "Label", { label:"foo", id:"label" } ]
]
}
...
});
This connection will have a 10x30 Arrow located right at the head of the connection, and the label "foo" located at the halfway point.
addOverlay
method on an Endpoint or ConnectionEndpoints and Connections both have an addOverlay
method that takes as an argument a single Overlay definition. An example:
var e = jsPlumb.addEndpoint("someElement");
e.addOverlay([ "Arrow", { width:10, height:10, id:"arrow" }]);
Draws an arrow, using four points: the head and two tail points, and a foldback
point, which permits the tail of the arrow to be indented. Available constructor arguments for this Overlay are:
This is just a specialized instance of Arrow
in which jsPlumb hardcodes foldback
to 1, meaning the tail of the Arrow is a flat edge. All of the constructor parameters from Arrow apply for PlainArrow.
This is a specialized instance of Arrow
in which jsPlumb hardcodes 'foldback' to 2, meaning the Arrow turns into a Diamond. All of the constructor parameters from Arrow apply for Diamond.
Provides a text label to decorate Connectors with. The available constructor arguments are:
labelStyle
parameter.The Label overlay offers two methods - getLabel
and setLabel
- for accessing/manipulating its content dynamically:
var c = jsPlumb.connect({
source:"d1",
target:"d2",
overlays:[
[ "Label", {label:"FOO", id:"label"}]
]
});
...
var label = c.getOverlay("label");
console.log("Label is currently", label.getLabel());
label.setLabel("BAR");
console.log("Label is now", label.getLabel());
In this example you can see that the Label Overlay is assigned an id of "label" in the connect call, and then retrieved using that id in the call to Connection's getOverlay method.
Both Connections and Endpoints support Label Overlays, and because changing labels is quite a common operation, setLabel and getLabel methods have been added to these objects:
var conn = jsPlumb.connect({
source:"d1",
target:"d2",
label:"FOO"
});
...
console.log("Label is currently", conn.getLabel());
conn.setLabel("BAR");
console.log("Label is now", conn.getLabel());
These methods support passing in a Function instead of a String, and jsPlumb will create a label overlay for you if one does not yet exist when you call setLabel:
var conn = jsPlumb.connect({
source:"d1",
target:"d2"
});
...
conn.setLabel(function(c) {
var s = new Date();
return s.getTime() + "milliseconds have elapsed since 01/01/1970";
});
console.log("Label is now", conn.getLabel());
The Custom Overlay allows you to create your own Overlays, which jsPlumb will position for you. You need to implement one method - create(component)
- which is passed the component on which the Overlay is located as an argument, and which returns either a DOM element or a valid selector from the underlying library:
var conn = jsPlumb.connect({
source:"d1",
target:"d2",
paintStyle:{
stroke:"red",
strokeWidth:3
},
overlays:[
["Custom", {
create:function(component) {
return $("<select id='myDropDown'><option value='foo'>foo</option><option value='bar'>bar</option></select>");
},
location:0.7,
id:"customOverlay"
}]
]
});
Here we have created a select box with a couple of values, assigned to it the id of 'customOverlay' and placed it at location 0.7. Note that the 'id' we assigned is distinct from the element's id. You can use the id you provided to later retrieve this Overlay using the getOverlay(id)
method on a Connection or an Endpoint.
You can control the visibility of Overlays using the setVisible
method of Overlays themselves, or with showOverlay(id)
or hideOverlay(id)
on a Connection.
Remember the id parameter that we specified in the examples above? This can be used to retrieve the Overlay from a Connection:
var connection = jsPlumb.connect({
...
overlays:[
"Arrow",
[ "Label", { label:"foo", location:0.25, id:"myLabel" } ]
],
...
});
// time passes
var overlay = connection.getOverlay("myLabel");
// now you can hide this Overlay:
overlay.setVisible(false);
// there are also hide/show methods:
overlay.show();
overlay.hide();
However, Connection and Endpoint also have two convenience methods you could use instead:
var connection = jsPlumb.connect({
...
overlays:[
"Arrow",
[ "Label", { label:"foo", location:-30 }, id:"myLabel" ]
],
...
});
// time passes
connection.hideOverlay("myLabel");
// more time passes
connection.showOverlay("myLabel");
Connection and Endpoint also have a removeOverlay
method, that does what you might expect:
var connection = jsPlumb.connect({
...
overlays:[
"Arrow",
[ "Label", { label:"foo", location:0.25 }, id:"myLabel" ]
],
...
});
// time passes
connection.removeOverlay("myLabel");


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Arctic Mud documents Josef Bull’s photographic works made onboard and following a Polar Research expedition to the Arctic Ocean. Juxtaposing still lifes of scientific instruments and everyday items, staged portraits of crew members, and images of thousands-of-years-old sedimentary matter gathered from the seabed, the two books form an unexpected account of a climate research expedition in the age of global warming.
Surface Samples looks at primitive mark making and that continued style of mark making across time and space. Mixing archival and contemporary material, Dodd’s collected and personal photographs range from the Ughtasar petroglyphs of the early paleolithic era (12000 BCE) to present day Athens.
Too Sad To Eat Breakfast is an uplifting chain of 70 melancholic youtube stills captioned by their original titles.


10 shot at family gathering in California
Multiple fatalities at mass-shooting at backyard gathering at home in Fresno, California.
by Arutz Sheva StaffTen people were shot in a mass-shooting incident at a backyard party in Fresno, in California's Central Valley, Sunday night.
Authorities say there are multiple fatalities, with others listed in critical condition at area hospitals. CNN reported that four people have been declared dead in the shooting.
Fresno Police Deputy Chief Michael Reid said the four victims killed in the shooting were between the ages of 25 and 30.
Five others are reported to have serious but non-threatening wounds, while a sixth suffered a graze wound.
The shooting took place at approximately 8:00 p.m. at a family gathering in southeast Fresno, while family and friends watched a football game in the backyard of a private residence, KSEE reported. One or more people snuck into the property and opened fire. Some 35 people were present at the family gathering when the shooting began.


Open Angel Arena 4.8.3 Update
General Changes
Summoned units cannot leave the restriction zones anymore.
Bounty Rune initial Team XP bonus reduced from 10 to
9
.
Item Changes
Greater Arcane Boots:
Level 1 Bonus GPM increased from 1800 to
2000
.
Greater Guardian Greaves:
Level 1 Bonus GPM increased from 1800 to
2000
.
Greater Travel Boots:
Assist gold percent increased from 85/100/115/130% to
90
/
105
/
120
/
135
%.
Assist gold radius rescaled from 1300/1400/1500/1600 to
1500
.
Hero Changes
Bounty Hunter:
Jinada gold steal reduced from 75/150/225/300/1200/2400 to
60
/
120
/
180
/
240
/1200/2400.
Spectre:
Dispersion damage reflected increased from 7/12/16/19/22/25% to 7/12/
17
/
20
/
23
/25%.
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David Yates Spearman
728 Knightswood Road
Fort Mill, SC 29708
<EMAIL_ADDRESS>Skills
- Strong communication including written, verbal and presentation skills
- Ability to work with various stakeholders, including government officials, vendors, and customers
- Skilled in multitasking with proven track record of managing multiple projects
- Data Management including sensitivity to the security of confidential information
- Team player with emphasis on sharing knowledge and helping others develop within the team
- Microsoft Word, Excel, PowerPoint, Access and Google Suite
- Proven ability to be a fast learner
Education
Winthrop University Honors College, Rock Hill, SC
2017
Bachelor of Arts and Sciences, Philosophy & Religious Studies Minor in Business Administration, GPA 3.5
Publications and Presentations
- Spearman, D. Yates. Evolution and Ethics. Thesis. Winthrop University, 2015. Rock Hill: Winthrop UP, 2016. Print.
- Spearman, D. Yates. “Evolution and Ethics”. Presented at Winthrop 2016 SOURCE Conference.
Professional Memberships
- Winthrop University ENACTUS Member
- Winthrop University Philosophy Club Member
Professional Experience
Red Ventures, Charlotte, NC
2016-Present
Senior Sales Agent
- Consistent performance within the top percentages of the company
- Experience launching the sales department of a new business within the company
- Opportunities to work with Sales Operations team to develop sales scripting and procedures when launching a new business
Hobo's Bar and Grill, Fort Mill, NC
2015-2016
Line Cook
- Proper set up, break down, and cleaning of restaurant between shifts
- Preparing and plating food orders
- Expediting food between front and back of the house
- Proper maintenance of kitchen equipment


The eﬀective ﬁeld on a marker is deﬁned as the averaged ﬁeld on the group of particles represented by the marker. To get the averaged ﬁeld, we need to reconstruct a continuum electric ﬁeld from the ﬁeld values on the discrete grids.
One of many methods of reconstructing the continuum electric ﬁeld is to assume that the ﬁeld is constant in each cell, i.e., piecewise constant function, i.e.,
|
| (45) |
where Ei,j,k is the ﬁeld value at grid-points (centers of cells) obtained by solving the ﬁeld equation. The electric ﬁeld on a computational marker is the average of the electric ﬁeld over all the physical particles contained in the marker, i.e.,
|
| (46) |
Using fp given in Eq. (22) in the above equation, we obtain
|
| (47) |
where the Jacobian and wp disappear. Use the reconstructed electric ﬁeld [Eq. (45)] in the above equation, giving
|
| (48) |
If we choose the shape function S1D as the b-spline function bl with Δαp = Δα, Δβp = Δβ, and Δγp = Δγ, then the above equation is written as
|
| (49) |
which speciﬁes how the eﬀective ﬁeld on a marker is related to the nearby ﬁeld on the grid-points.
Another way of reconstructing the continuum electric ﬁeld is to assume that the ﬁeld is linear function between grids. In this case, if the spatial shape function of markers is Dirac delta function, then it is obvious that the eﬀective ﬁeld on a marker can be obtained by linearly interpolating the ﬁelds on the nearyby grids. If the spatial shape function of markers is b0, what is the interpolation scheme of obtaining the eﬀective ﬁeld on a marker? To be worked out. The result will be a little complicated than the linear interpolation and thus involves more computational overhead. The beneﬁt can be that the noise can be further reduced, compared with the linear interpolation.


Interface IOptions
Defines options interface.
Inherited Members
Namespace: Core2D.Containers
Assembly: Core2D.dll
Syntax
public interface IOptions : IObservableObject, INotifyPropertyChanged, ICopyable
Properties
| Improve this Doc View SourceDefaultFillRule
Gets or sets value indicating path fill rule during creation.
Declaration
FillRule DefaultFillRule { get; set; }
Property Value
| Type | Description |
|---|---|
| FillRule |
DefaultIsClosed
Gets or sets value indicating whether path is closed during creation.
Declaration
bool DefaultIsClosed { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
DefaultIsFilled
Gets or sets value indicating whether path/shape is filled during creation.
Declaration
bool DefaultIsFilled { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
DefaultIsStroked
Gets or sets value indicating whether path/shape is stroked during creation.
Declaration
bool DefaultIsStroked { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
HitThreshold
Gets or sets hit test threshold radius.
Declaration
double HitThreshold { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Double |
MoveMode
Gets or sets how selected shapes are moved.
Declaration
MoveMode MoveMode { get; set; }
Property Value
| Type | Description |
|---|---|
| MoveMode |
SnapToGrid
Gets or sets how grid snapping is handled.
Declaration
bool SnapToGrid { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
SnapX
Gets or sets how much grid X axis is snapped.
Declaration
double SnapX { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Double |
SnapY
Gets or sets how much grid Y axis is snapped.
Declaration
double SnapY { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Double |
TryToConnect
Gets or sets how point connection is handled.
Declaration
bool TryToConnect { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |


by Kemalkhan Shlembayev, based on materials
from
reactjs.org & Per Harald Borgen(freeCodeCamp)
There are a few ways to set up React.
To try React without installing Node.js, Babel, Webpack and so on, we'll choose the simplest way -
create HTML file which loads three CDNs in the head - React, React DOM, and Babel.
add this script tag in the body:
All our React code wil be written inside that tag. Look at the next slide.
Our index.html:
<!DOCTYPE html>

<meta charset="utf-8" />
<title>React Introduction</title>

We use React to create components.
Components can be class-based or functional. In this example, we will use class-based components.
Let's create a component named "Hello" by extending React's Component class:
class Hello extends React.Component {
render() {
return Hello world!
;
}
}
In this example, we have one method inside class - it's called render().
Inside render() method we return what we want to draw on the page - here we want from React to draw an h1 tag with the text "Hello world!" .
render() {
return Hello world!
;
}
To display component on the screen, we use ReactDOM.render():
ReactDOM.render(
<Hello />,
document.getElementById("root")
);
The HTML-like strings
 and <Hello /> is the JSX code.
It’s not actually HTML, it is closer to JavaScript. JavaScript expressions can be embedded in JSX using curly braces, including variables, functions, and properties.
Look at this two lines of code:
JSX:
const heading = Hello, React!
non-JSX:
const heading = React.createElement('h1', { className: 'heading' }, 'Hello, React!');
JSX is easier to write and understand than creating and appending many elements in vanilla JavaScript.
With React we can write a component once, and then reuse it how we want. To make our component reusable, we’ll add a prop called message and give it value "RSS Student":
ReactDOM.render( <Hello message="RSS Student" />, document.getElementById("root") );
Now we can access this prop inside the Hello component by referencing this.props.message:
class Hello extends React.Component {
render() {
return
Hello {this.props.message}!
;
}
}
If we want to change the data in our app - we need to store data in a component’s state.
To initialize the state, we need to set this.state in the constructor() method of the class. Our state is an object, which in our case has one key called message:
class Hello extends React.Component {
constructor(){
// super() must be called before the first access to the keyword 'this'
super();
this.state = {
message: "RSS Student (from state)!"
};
}
render() {
return
Hello {this.state.message}!
;
}
}
To modify the state, we add a method updateMessage(), inside of which we call this.setState(), and pass the new state object as the argument.
class Hello extends React. Component {
constructor(){
super();
this.state = {
message: "RSS Student (from state)!"
};
/* In the constructor we need to bind the 'this' keyword to the updateMessage method.
(or we can use arrow function). */
this.updateMessage = this.updateMessage.bind(this);
}
updateMessage() {
this.setState({
message: "RSS Student (from CHANGED state)!"
});
}
render() {
return Hello {this.state.message}!
;
}
}
Now we need some user control to call the updateMessage() method. Let’s add a button to our app:
render() {
return (

Hello {this.state.message}!

<button onClick={this.updateMessage}>Click me!</button>

)
}
We attach an event listener for the onClick event of our button.
Now, when button will clicked, component will call the updateMessage() method. In that method we call this.setState() which changes the value of this.state.message.
Important note - properties and methods in JSX are camelCase - onclick will become onClick.
The Hello component:
class Hello extends React.Component {
constructor(){
super();
this.state = {
message: "RSS Student (from state)!"
};
this.updateMessage = this.updateMessage.bind(this);
}
updateMessage() {
this.setState({
message: "RSS Student (from changed state)!"
});
}
render() {
return (

Hello {this.state.message}!

<button onClick={this.updateMessage}>Click me!</button>

)
}
}
Important note - calling this.setState() tells React to re-render the component. That is why we see the changes.
By creating this simplest app, we reviewed basic concepts of React:
Now you have a very basic understanding of what is the React and how it works.


---
layout: project
title: "Google Summer of Code 2020"
image:
path: /assets/images/buttons/gsoc.png
thumbnail: /assets/images/buttons/gsoc.svg
link: /gsoc/2020
permalink: /gsoc/2020
excerpt: "Layer5 - Google Summer of Code 2020"
---
Google Summer of Code 2020 and Layer5
2020 Program Timeline
January 14 - Organization applications open
February 20 - Accepted GSoC Organizations announced
March 16-March 31 - Students submit their proposals
April 27 - Accepted students are announced
April 27-May 18 - Community bonding period with orgs
May 18-Aug 17 - Students code the summer away
August 25 - Successful student projects are announced
Statistics
In 15 years 15,926 students from 109 countries have been accepted into GSoC
Countries with the most students: India (4,065), United States (2,552), and Germany (870 )
Approximately 36+ million lines of code have been produced
Project Ideas
Benchmarks for Network Service Mesh, Istio, Citrix
Description: Network Service Mesh, like other service meshes are plagued by the question of
adopters asking the question: "what's the performance overhead of the service mesh?".
Network Service Mesh, Linkerd, Istio, Envoy and the list of other service meshes don't have a consistent set of
performance benchmarks between them. So, even if Envoy were to publish performance results, users still wouldn't
be able to compare overhead between Linkerd and Envoy. The project idea here is to build a multi-mesh performance
benchmark tool.
Description: Ensure that a service mesh is properly configured and that its behavior
conforms to official SMI specifications. Conformance consists of both capabilities and compliance status as
outlined in the design
specification.
 This limits the amount of traffic that can be generated to output of the single
machine that the benchmark tool runs on in or out of a cluster. Overcoming this limitation would allow for more
flexible and robust testing. Distributed load testing in parallel poses a challenge when merging results without
losing the precision we need to gain insight into the high tail percentiles.
Use Meshery’s interface for supporting different load generators (a point of extensibility) to place support for
Vegeta. Workloads running on service meshes are hit in various ways and generally not from the same source. Use of
a distributed load generator will aid in the testing of service mesh behavior.
Description: A formal specification for capturing the details of a performance test, it’s
results, environment and workload details. Design an algorithm for calculating a MeshDex value - an
easy-to-comprehend number identifying the overhead to value ratio a given service mesh deployment is operating at.
Description: A Kubernetes controller that provides Meshery Custom Resource Definitions
like perf wherein a user could manage scheduled performance jobs like this: kubectl get meshperfand see a list
of scheduled performance tests.
In this, they would have a Kubernetes-native experience for leveraging Meshery’s functionality. Other
functionality like kubectl get meshevents, which should give them a list of outstanding recommendations on best
practice violations in a format similar to kubectl get events.
Example
Recommended Skills:
Mentor(s): Vinayak Shinde, Lee Calcote (@lcalcote)
A Kubernetes Operator for Meshery
Description: Lifecycle management of Meshery as an application. Operators are often
written for this purpose - to care and feed for the application under management. This could be activities that
mesheryctl does today about start/status/stop/update/logs/cleanup.
Recommended Skills:
Mentor(s): Vinayak Shinde, Lee Calcote (@lcalcote)
Meshery Monkey
Description: Bring chaos engineering to the service mesh. Service meshes are quite
capable of facilitating fine-grained network chaos in the form of latency, jitter, packet loss, mangled packets,
and so on.
Provide a tool for defining, executing, scheduling service mesh experiments. Leverage and incorporate Chaos Mesh.
What is Layer5?While small, the Layer5 community represents the largest collection of service mesh projects and their
maintainers in the world. We build projects to provide learning environments, deployment and operational best
practices, performance benchmarks, create documentation, share networking opportunities, and more. Our shared
commitment to the open source spirit pushes Layer5 projects forward. New members are always welcome.
Is it Open Source? Layer5 projects are open source software. Anyone can download, use, work on, and share it with others. It's
built on principles like collaboration, globalism, and innovation. Layer5 projects are distributed under the terms
of Apache v2.
Google Summer of Code Participation? The key component of these projects is our Community. This community, which you will join as an participant in
Google Summer of Code, is improving the world of diverse cloud native systems. Your contributions will affect
people you've never met. The Layer5 community includes software engineers, researchers, students, artists, system
administrators, operators and web designers -- all of whom will be happy to help you get started.
We believe that all contributors should expect and be part of a safe and friendly environment for constructive
contribution. We can more effectively and successfully compare and challenge different ideas to find the best
solutions for advancement, while building the size, diversity, and strength of our community.


{% extends 'helpcentre-detail.html' %} {% block pageTitle %} Contact us {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
Use this form to get help or advice for a problem or issue with NHS login. The NHS login team cannot help with medical problems.
If you think it's a life-threatening emergency:
Non-urgent advice:If you do not think it's an emergency:


Topics
Tests in Jinja are a way of evaluating template expressions and returning True or False. Jinja ships with many of these. See builtin tests in the official Jinja template documentation.
The main difference between tests and filters are that Jinja tests are used for comparisons, whereas filters are used for data manipulation, and have different applications in jinja. Tests can also be used in list processing filters, like map()
and select()
to choose items in the list.
Like all templating, tests always execute on the Ansible controller, not on the target of a task, as they test local data.
In addition to those Jinja2 tests, Ansible supplies a few more and users can easily create their own.
Test syntax varies from filter syntax (variable | filter
). Historically Ansible has registered tests as both jinja tests and jinja filters, allowing for them to be referenced using filter syntax.
As of Ansible 2.5, using a jinja test as a filter will generate a warning.
The syntax for using a jinja test is as follows:
variable is test_name
Such as:
result is failed
To match strings against a substring or a regular expression, use the “match”, “search” or “regex” filters:
vars:
url: "http://example.com/users/foo/resources/bar"
tasks:
- debug:
msg: "matched pattern 1"
when: url is match("http://example.com/users/.*/resources/.*")
- debug:
msg: "matched pattern 2"
when: url is search("/users/.*/resources/.*")
- debug:
msg: "matched pattern 3"
when: url is search("/users/")
- debug:
msg: "matched pattern 4"
when: url is regex("example.com/\w+/foo")
‘match’ requires zero or more characters at the beginning of the string, while ‘search’ only requires matching a subset of the string. By default, ‘regex’ works like search, but regex can be configured to perform other tests as well.
New in version 1.6.
Note
In 2.5 version_compare
was renamed to version
To compare a version number, such as checking if the ansible_facts['distribution_version']
version is greater than or equal to ‘12.04’, you can use the version
test.
The version
test can also be used to evaluate the ansible_facts['distribution_version']
:
{{ ansible_facts['distribution_version'] is version('12.04', '>=') }}
If ansible_facts['distribution_version']
is greater than or equal to 12.04, this test returns True, otherwise False.
The version
test accepts the following operators:
<, lt, <=, le, >, gt, >=, ge, ==, =, eq, !=, <>, ne
This test also accepts a 3rd parameter, strict
which defines if strict version parsing as defined by distutils.version.StrictVersion
should be used. The default is False
(using distutils.version.LooseVersion
), True
enables strict version parsing:
{{ sample_version_var is version('1.0', operator='lt', strict=True) }}
New in version 2.1.
Note
In 2.5 issubset
and issuperset
were renamed to subset
and superset
To see if a list includes or is included by another list, you can use ‘subset’ and ‘superset’:
vars:
a: [1,2,3,4,5]
b: [2,3]
tasks:
- debug:
msg: "A includes B"
when: a is superset(b)
- debug:
msg: "B is included in A"
when: b is subset(a)
New in version 2.8.
Ansible includes a contains
test which operates similarly, but in reverse of the Jinja2 provided in
test.
This is designed with the ability to allow use of contains
with filters such as map
and selectattr
:
vars:
lacp_groups:
- master: lacp0
network: <IP_ADDRESS>/24
gateway: <IP_ADDRESS>
dns4:
- <IP_ADDRESS>
- <IP_ADDRESS>
interfaces:
- em1
- em2
- master: lacp1
network: <IP_ADDRESS>/24
gateway: <IP_ADDRESS>
dns4:
- <IP_ADDRESS>
- <IP_ADDRESS>
interfaces:
- em3
- em4
tasks:
- debug:
msg: "{{ (lacp_groups|selectattr('interfaces', 'contains', 'em1')|first).master }}"
New in version 2.4.
You can use any and all to check if any or all elements in a list are true or not:
vars:
mylist:
- 1
- "{{ 3 == 3 }}"
- True
myotherlist:
- False
- True
tasks:
- debug:
msg: "all are true!"
when: mylist is all
- debug:
msg: "at least one is true"
when: myotherlist is any
Note
In 2.5 the following tests were renamed to remove the is_
prefix
The following tests can provide information about a path on the controller:
- debug:
msg: "path is a directory"
when: mypath is directory
- debug:
msg: "path is a file"
when: mypath is file
- debug:
msg: "path is a symlink"
when: mypath is link
- debug:
msg: "path already exists"
when: mypath is exists
- debug:
msg: "path is {{ (mypath is abs)|ternary('absolute','relative')}}"
- debug:
msg: "path is the same file as path2"
when: mypath is same_file(path2)
- debug:
msg: "path is a mount"
when: mypath is mount
The following tasks are illustrative of the tests meant to check the status of tasks:
tasks:
- shell: /usr/bin/foo
register: result
ignore_errors: True
- debug:
msg: "it failed"
when: result is failed
# in most cases you'll want a handler, but if you want to do something right now, this is nice
- debug:
msg: "it changed"
when: result is changed
- debug:
msg: "it succeeded in Ansible >= 2.1"
when: result is succeeded
- debug:
msg: "it succeeded"
when: result is success
- debug:
msg: "it was skipped"
when: result is skipped
Note
From 2.1, you can also use success, failure, change, and skip so that the grammar matches, for those who need to be strict about it.
See also


Map Generated on {time}
Check out the
stats
for Nick's Minecraft Server.
If you can see this message, there is likely a problem loading the Overviewer javascript components. Check the javascript console for error messages.


Creates a binary image of an ellipse. Creates a binary image of size (mRows x nCols), with all pixels set to 0 outside the ellipse and 1 inside. The ellipse is given by 5 parameters, a semimajor axis of ra, a semminor axis of radius rb, angle phi (in radians), and center (cRow,cCol). An alternative method of specifying the ellipse parameters is in terms of a 2D Gaussian. For more info on how a Gaussian relates to an ellipse see gauss2ellipse. USAGE mask = maskEllipse( mRows, nCols, cRow, cCol, ra, rb, phi ) mask = maskEllipse( mRows, nCols, mu, C, [rad] ) INPUTS [version 1] mRows - number of rows in mask nCols - number of columns in mask cRow - the row location of the center of the ellipse cCol - the column location of the center of the ellipse ra - semi-major axis length (in pixels) of the ellipse rb - semi-minor axis length (in pixels) of the ellipse phi - rotation angle (in radians) of semimajor axis to x-axis INPUTS [version 2] mRows - number of rows in mask nCols - number of columns in mask mu - 1x2 vector representing the center of the ellipse C - 2x2 cov matrix rad - [2] Number of std to create the ellipse to OUTPUTS mask - created image mask EXAMPLE mask = maskEllipse( 200, 200, 40, 100, 20, 15, pi/4 ); figure(1); im(mask); [mu,C] = imMlGauss( mask, 0, 2 ); See also PLOTELLIPSE, GAUSS2ELLIPSE, MASKCIRCLE, MASKGAUSSIANS, IMMLGAUSS Piotr's Computer Vision Matlab Toolbox Version 2.40 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


This intention transforms
from module_name import ...
into
import module_name
and qualifies any names imported from that module by module name.


There is some room for improvement, however. Typically the rules for the group operation on an elliptic curve involve a number of special cases:
In 2007, Dr. Harold Edwards put forth a new form of elliptic curve; despite his paper not focusing on cryptography, his new normal form has very desirable cryptographic properties: the addition law is unified and complete. In other words, Edwards curves do not leak as much side-channel information as curves in typical Weierstrass (or other) forms. Moreover, in many cases the addition laws involve less operations, making for faster computations. While this is not the case over binary fields, the benefits of the law's completeness make the loss of speed seem negligible. In fact, some authors argue that with specialized hardware the speed difference can be greatly reduced, while the completeness of the binary Edwards curve group law actually makes it faster than Weierstrass implementations that must constantly check for special cases. Add to this the reduced code complexity, and binary Edwards curves look much more promising from an implementation point of view.
This code library consists the second version of a C++ proof-of-concept implementation of Edwards Curves (over both binary fields and fields of odd prime characteristic) and both affine and projective points over them, built using Victor Shoup's NTL.


⍝ Conway’s game of life ⍝ This example was inspired by the impressive demo at ⍝ http://www.youtube.com/watch?v=a9xAKttWgP4 ⍝ Create a matrix: ⍝ 0 1 1 ⍝ 1 1 0 ⍝ 0 1 0 creature ← (3 3 ⍴ ⍳ 9) ∈ 1 2 3 4 7 ⍝ Original creature from demo creature ← (3 3 ⍴ ⍳ 9) ∈ 1 3 6 7 8 ⍝ Glider ⍝ Place the creature on a larger board, near the centre board ← ¯1 ⊖ ¯2 ⌽ 5 7 ↑ creature ⍝ A function to move from one generation to the next life ← {∨/ 1 ⍵ ∧ 3 4 = ⊂+/ +⌿ 1 0 ¯1 ∘.⊖ 1 0 ¯1 ⌽¨ ⊂⍵} ⍝ Compute n-th generation and format it as a ⍝ character matrix gen ← {’ #’[(life ⍣ ⍵) board]} ⍝ Show first three generations (gen 1) (gen 2) (gen 3)
Simple mode that tries to handle APL as well as it can.
It attempts to label functions/operators based upon monadic/dyadic usage (but this is far from fully fleshed out). This means there are meaningful classnames so hover states can have popups etc.
MIME types defined: text/apl
(APL code)


--- layout: post title: New line charecter in oracle pl/sql date: type: post published: false status: private categories: [] tags: [] meta: _edit_last: '1' author: login: satyadeep email<EMAIL_ADDRESS>display_name: Satyadeep first_name: Satyadeep last_name: K ---
varies in windows and linux.
chr(10) and chr(13)


public class RiskConnectedGraphTest
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private java.util.ArrayList<Country> |
adjacentCountries0
ArrayList to store adjacent countries
|
private java.util.ArrayList<Country> |
adjacentCountries1 |
private java.util.ArrayList<Country> |
adjacentCountries2 |
private java.util.ArrayList<Country> |
adjacentCountries3 |
private RiskGraphConnected |
connectedGraph1
Object for RiskGraphConnected Class
|
private RiskGraphConnected |
connectedGraph2
Object for RiskGraphConnected Class
|
private Country |
country0
Objects for Country Class
|
private Country |
country1
Objects for Country Class
|
private Country |
country2
Objects for Country Class
|
private Country |
country3
Objects for Country Class
|
private Country |
country4
Objects for Country Class
|
private Country |
country5
Objects for Country Class
|
private Country |
country6
Objects for Country Class
|
private java.util.Set<Country> |
countrySet
Set to store countries
|
private java.util.Set<Country> |
countrySet1
Set to store countries
|
private java.util.Set<Country> |
countrySet2
Set to store countries
|
private Player |
player
Objects for Player Class
|
private java.util.ArrayList<Country> |
playerOwnedCountries
ArrayList for countries owned by player
|
private java.util.HashSet<Country> |
playerOwnedCountriesSet
HashSet for countries owned by player
|
private RiskGraphConnected |
riskGraphConnected
Object for RiskGraphConnected Class
|
| Constructor and Description |
|---|
RiskConnectedGraphTest() |
| Modifier and Type | Method and Description |
|---|---|
void |
ifPathDoesNotExistBetweenCountriesTest()
Test method to check if a path does not exist between countries in fortification phase
|
void |
ifPathExistsBetweenCountriesTest()
Test method to check if a path exists between countries in fortification phase
|
void |
initialize()
Set up the initial objects for RiskGraphConnected
|
void |
isConnectedSubGraphFalseTest()
Test method to check non-connectivity of subGraph
|
void |
isConnectedSubGraphTest()
Test method to check connectivity of subGraph
|
void |
isConnectedTest()
Test method to check if a Graph is connected
|
private Player player
private RiskGraphConnected riskGraphConnected
private RiskGraphConnected connectedGraph1
private RiskGraphConnected connectedGraph2
private Country country0
private Country country1
private Country country2
private Country country3
private Country country4
private Country country5
private Country country6
private java.util.Set<Country> countrySet
private java.util.Set<Country> countrySet1
private java.util.Set<Country> countrySet2
private java.util.ArrayList<Country> adjacentCountries0
private java.util.ArrayList<Country> adjacentCountries1
private java.util.ArrayList<Country> adjacentCountries2
private java.util.ArrayList<Country> adjacentCountries3
private java.util.ArrayList<Country> playerOwnedCountries
private java.util.HashSet<Country> playerOwnedCountriesSet
public void initialize()
public void isConnectedTest()
public void ifPathExistsBetweenCountriesTest()
public void ifPathDoesNotExistBetweenCountriesTest()
public void isConnectedSubGraphTest()
public void isConnectedSubGraphFalseTest()


Veterinarians
Name
Specialties
[firstName lastName]
[specialty name]
View as XML
Subscribe to Atom feed


PVBootstrap is responsible for initializing the system the system by initializing all the classes.
This class will have to be refactored, but it was designed to give base options for creating a secure environment based off of a configuration file that would be passed to it.
The Configuration acts a global registry for system-wide configuration options for the application.
The configuration class is most notably used for setting variables that can be retrieved anywhere in your system with the setters and getters. There is also the option of setting different environment.
Example:
//Init the class
Configuration::init();
//Add An Example Configuration
$data = array(
'host'=>'localhost',
'database' => 'test',
'user'=>'admin',
'password'=>'abc123'
);
Configuration::addConfiguration('mysql', $data);
//Retrieve and use that configuration
$mysql = Configuration::getConfiguration('mysql');
echo $mysql->host;
//Set different configs for different environments
Configuration::addConfiguration('mysql', $data, array('environment' => 'production'));
Database controls the connections to various databases ranging from Mysql to MongoDB.
For future development, the class needs to be written, but it offers a lot of powerful features that including prepared statements, schema manipulation, sanitization, and other features.
Example:
//Initialize the class
Database::init();
//Two Different Configurations
$mysql_options = array(
'dbhost' => 'localhost',
'dbuser' => 'jondoe',
'dbpass'=>'abc123',
'dbtype'=>'mysql',
'dbname'=>'example1',
'dbport'=>3306
);
//Add The Connection
Database::addConnection('connection1', $mysql_options);
$postgres_options = array(
'dbhost' => 'localhost',
'dbuser' => 'janedoe',
'dbpass'=>'doeraeme',
'dbtype'=>'postgresql',
'dbname'=>'example2',
'dbport'=>5432
);
//Add The Connection
Database::addConnection('connection2', $postgres_options);
//Connect To the Mysql Database
Database::setDatabase('connection1');
//Sanitize input
$value = Database::makeSafe('SELECT ItemName, ItemDescription FROM Items WHERE ItemNumber = 999; DROP TABLE USERS ');
//Execute A Query
Database::query("INSERT INTO users(name) VALUES(${value})");
//Change the Database connection
Database::setDatabase('connection2');
Libraries is designed to load external libraries into the system, especially those that are not in a management service like Composer.
While tools like composer make including and accessing libraries easy, not every library is on the service nor does every project want to manage their 3rd parties libraries in the same way. Libraries primary focus is the loading of external libraries to be used in your application.
Example:
//Initialize the class
Libraries::init();
//Add an external library
Libraries::addLibrary('MailLoader', array('path' => '/absolute/path/to/library/1',
'explicit_load' => true));
//Add a library with name spaces
Libraries::addLibrary('Facebook', array('path' => '/absolute/path/to/library/2', 'namespaced' =>
true));
//To your application to load these libraries for use
Libraries::loadLibraries();
Security is a class designed to handle the security of your application ranging from encryption to hashing.
Session is the class for handling the cookie session information related to the system.
The class offers a variety of tools for how to set up basic session control within your application. These features can be used in conjunction with other session handling methodologies.
Example:
//Initialize the class
Session::init();
//Write data to a cookie
Session::writeCookie('foo', 'bar');
echo Session::readCookie('foo');
//Encrypt the value
Session::writeCookie('foo', 'bar', array('hash_cookie' => true));
echo Session::readCookie('foo', array('hash_cookie' => true);
Communicator opens up communication with other services via Curl, SOAP, or Sockets.
With the rise of RESTFUL API and Microservices, this class was designed to allow easy communication with those services without having to rewrite the underlying commands.
Example:
//CURL GET
$url = 'http://api.wunderground.com/api/Your_Key/conditions/q/CA/San_Francisco.json';
$communicator = new Communicator();
$communicator->send('get', $url);
print_r($communicator ->getResponseBody());
//CURL POST
$url = 'http://api.example.com/createuser';
$data = array('name' =>'John Doe', 'email' =><EMAIL_ADDRESS>$communicator = new Communicator();
$communicator->send('POST', $url, );
print_r($communicator ->getResponseBody());
Curl class makes it very easy to send curl commands to other sources.
With the rise of RESTFUL API and Microservices, this class was designed to allow easy communication with those services without having to rewrite the underlying commands.
Example:
//CURL GET
$url = 'http://api.wunderground.com/api/Your_Key/conditions/q/CA/San_Francisco.json';
$curl = new Curl($url);
$curl->send('get');
print_r($curl ->getResponseBody());
//CURL POST
$url = 'http://api.example.com/createuser';
$data = array('name' =>'John Doe', 'email' =><EMAIL_ADDRESS>$curl = new Curl($url);
$curl->send('POST', $data);
print_r($curl ->getResponseBody());
Request is responsible for receiving and parsing income HTTP requests.
Built for receiving communication from other sources, Request has the ability to take a request, parse the headers, get the data, determine what kind of requests, and other features.
Example:
$request = new Request();
if($request -> isAjaxRequest()) {
echo "AJAX REQUEST\n";
}
if(strtolower($request -> getRequestMethod()) =='post') {
echo "A Post Request was send\n";
}
$data = getRequestData();
print_r($data);
Response is responsible for sending HTTP responses back to a client.
The class takes into consideration the many generic responses HTTP has ranging from 200 to 500, and helps make it easy to output the correct response with headers.
Example:
//Init the class
Response::init();
//Successful Response
Response::createResponse(200, 'Hello Word!');
//Page Not Found
Response::createResponse(404, 'The page you are looking for cannot be found');
Router is responsible for parsing the URL setting up the ability for routing within your application.
Applications, especially with Frontend Controller Design Pattern, may require routing to get a user to their destination correctly. This class can take rules, route and correctly navigate the user to their destination.
Cache is a system for caching data and retrieving cached data.
The default system uses a file cache for caching data. But the system through the adapter pattern is extendable to use any caching system attached to the application.
Example:
//Init The Cache
Cache::init();
$data = array('Apples', 'Oranges', 'Bananas');
//Check if cache has expired
if(Cache::hasExpired('mycache')):
//Store The Cache
Cache::writeCache('mycache', $data);
endif;
$data = Cache::readCache('mycache');
print_r($data);
Command Line Interface (CLI) utility class.
This is an adaptation of Patrick Fisher command line parser for PHP. The class has been modified to utilizes adapters, filter and observers natively present in ProdigyView.
The Collection class acts as a repository for data to be stored, retrieved and iterated over.
The collection class is a simple way of storing and getting information with key, value pairs, Any information can be stored and retrieved including strings, array, and objects. Some example use cases:
//Add data and increment over fit
$collection = new Collection();
$collection -> add('Apples');
$collection -> add('Oranges');
foreach($collection as $key => $value) {
echo $value;
}
Conversions is a class used to convert one data type to another.
Often there will be requirements for converting data such as array to objects, json to xml, etc. This class is designed to have built-in functions to make those conversations easy.
Example:
//Create an array
$data = $array('Apple', 'Bananna', 'Orange');
//Convert the array to object
$data = Conversions::arrayToObject($data);
//Will display an stdObject
print_r($data);
FileManager allows easy manipulation of the file system such as making directories or getting mime types.
The class has various functions that make file manipulation reasonably easy.
Examples:
//Count the number of files in a directory
echo FileManager::getFilesInDirectory('/path/to/directry');
//Get Mime Type
echo FileManager::getFileMimeType('image.jpg');
//Write To File
FileManager::getFileMimeType('/path/to/file', 'Hello World!');
Log is used to write information to a log for record keeping.
The logs that can be recorded is up to the developer. The class can be overridden with Adapters to do things like write to syslog or external logging services.
Example:
//Initialize The class
Log::init();
//Write various logs with different priority levels
Log::writeLog('Warning', 'Illegal Access By User');
Log::writeLog('High Alert', 'System Almost Out Of Memory');
Log::writeLog('Low', 'Page Not Found');
//Get the logs with a high priority level
$logs = Log::readLog('High Alert');
Mail is responsible for sending email from the application.
Mail is a basic class for sending emails. The class either uses the default mail() function on the server, or can be configured to send emails via SMTP.
Example:
//Initialize The Class
Mail::init(array(
'smtp_host' => 'external.example.com',
'smtp_username' => 'MyLogin',
'smtp_password' => 'abc123',
'smtp_port' => 582,
'mailer' => 'smtp',
'default_sender' =><EMAIL_ADDRESS>));
//Send An Email
Mail::sendEmail(array(
'receiver' =><EMAIL_ADDRESS><EMAIL_ADDRESS>'subject'=>'Hello World'
'message'=>'Dropping a line, saying hello'
));
Mathematics is a class for doing computations.
The class is relatively incomplete and could use more important functions to ease development.
Tools is a class that has random tools to be utilized in an application.
The tools in this class do not have a direct affiliation with any other class and can be considered more of general tools.
Example:
//Create random string of capital letters A -F that is 10 letters long
$string = Tools::generateRandomString( 10, $chars = 'ABCDEF');
//Search a recursive array
$data = array(
'fruits' => array('Strawberries', 'Oranges')
'vegetables' => array('celery', 'salad'),
'meat' => array(
'white' => array('chicken', 'turkey'),
'red' => array('beef', 'goat')
)
);
$item = Tools::arraySearchRecursive('turkey', $data);
Validator is a dynamically extendable class used to validate inputs.
The class can be used to check for a variety of inputs to validate data from mime types to correct syntax for a URL. The class is also extendable to add more validation rules.
Examples:
//Check if a file is an integer
if(Validator::check('integer', '3.4')) {
echo 'I am an integer';
}
if(Validator::check('url', 'http://www.google.com')) {
echo 'I am a valid url';
}
//Add custom validation rule
Validator::addRule('is_currency', array('function' => function($number) {
return preg_match("/^-?[0-9]+(?:\.[0-9]{1,2})?$/", $number);
}));
//Check against custom rule
if(Validator::check(‘is_currecny’, '$10.00')) {
echo 'I am currency';
}
Object is an extendable class used to enhance an object that can be instantiated.
ProdigyView comes with the ability to implement adapters, intercepting filters and observers. Extending this class to a child class will give the child class the ability to use those design patterns along with a collection that can assign and retrieve values using magic functions.
Example:
//Create the class
class Example extends Object {
public function testMe($string) {
echo $string;
//An observer
$this->_notify(get_class() . '::' . __FUNCTION__, $string);
}
}
//Add to its collection
$example = new Example();
$example->foo='bar';
echo $example-> foo;
//Add a dynamic method
$example -> addMethod('fiz', function($text) {
return 'fiz ' . $text;
});
echo $example -> fizz('Bop');
//Add Observer
Example::addObserver('Example::testMe', 'test_closure', function($string) {
echo "\nLine 2 \n"
echo $string;
}, array('type' => 'closure'));
//Will call the instance and the attached observer
$example->testMe('Testing String ');
Singleton is the parent class for implementing Adapters, Observers, Intercepting Filters and Singletons on instances.
Prodgiyview comes with 4 design patterns that can be extended to any object: Adapters, Observers, Intercepting Filters and Singletons. By extending this class to any object that can be instantiated, they will have the capability of using these design patterns.
StaticInstance is a hybrid class that combines that usage of static design patterns of Adatper, Obsver and Filter in an the instance of object.
StaticObject is an extendable class used to enhance an object with static methods.
ProdigyView comes with the ability to implement adapters, intercepting filters and observers. Extending this class to a child class will give the child class the ability to use those design patterns along with a collection that can assign and retrieve values using magic functions.
Example:
//Create the class
class Example extends Object {
public static function testMe($string) {
echo $string;
//An observer
$this->_notify(get_class() . '::' . __FUNCTION__, $string);
}
}
//Add to its collection
Example::set('foo','bar');
echo Example::get('foo');
//Add a dynamic method
Example::addMethod('fiz', function($text) {
return 'fiz ' . $text;
});
echo Example::fizz('Bop');
//Add Observer
Example::addObserver('Example::testMe', 'test_closure', function($string) {
echo "\nLine 2 \n"
echo $string;
}, array('type' => 'closure'));
//Will call test me and the observer attached
Example::testMe('Testing String ');
Audio is a class designed to manipulate audio files and transcoding to various formats.
Audio works with all kinds of audio files: mp3, wave, real audio, etc. It utilizes command tools like FFMPEG to do the transcoding and will return the results from the command line.
Example:
//Set the file to be converted
$old_file = '/path/to/file/audio.wav';
//Set the path of the new file
$new_file = '/path/to/file/audio.mp3';
//Options to pass to the FFmpeg or other conversion tools
//The following will place a -f infront of the input
$options = array('input_f' => '');
//Run the conversion
Audio::init();
Audio::convertAudioFile($old_file, $new_file , $options );
Image is a class for handling the processing and format of all image files.
Image has various functions built into it such as adding watermarks, resizing, cropping and more. By default, the class will use Imagick but can be set to use other image processing tools.
Video is a class designed to manipulate video files and transcoding to various formats.
Video works with all kinds of audio files: mp4, mov, ogg, etc. It utilizes command tools like FFMPEG to do the transcoding and will return the results from the command line.
Example:
//Set the file to be converted
$old_file = '/path/to/file/video.mov';
//Set the path of the new file
$new_file = '/path/to/file/video.mp4';
//Options to pass to the FFmpeg or other conversion tools
//The following will place a -f infront of the input
$options = array('input_f' => '');
//Run the conversion
Video::init();
Video::convertAudioFile($old_file, $new_file , $options );
Forms is a class that controls the creation and management of HTML form elements.
The class can be tied in with other systems for creating of forms that can be generated by passing in dynamic elements.
Example:
//Create Input Element
echo Forms::creatInput('name', 'text');
//Create An Input with Bootstrap Element
echo Forms::creatInput('name', 'text', array('class' => 'form-control'));
//Complete Form
echo Forms::formBegin('my-form', array('method' => 'post', 'enctype' => 'multipart/form-data'));
echo Forms::creatInput('name', 'text', array('class' => 'form-control', 'value' => 'My Name',
'placeholder' => 'Enter your name'));
echo Forms::button('enter', array('type' => 'submit', 'class' => 'btn btn-success'));
echo formEnd();
HTML is a class designed for generating HTML elements to display to the user.
The class takes in basic HTML forms with options. The functionality can be used with dynamic form generation tools.
Example:
//Create array of links
$links = array('Google', 'http://www.google.com', 'Facebook', 'http://www.facebook.com');
$html = '';
$li = '';
foreach($links as $key => $value):
$li .= Html::li(Html::ahref($key, $value));
endforeach;
$html = Html::ul($li);
$html = Html::div($html, array('class' => 'container'));
echo $html;
//The following will be printed

Google

Facebook


Console - Master System II
Power
Control 1
Control 2
Card input
Control 1
Control 2
Card
Power On
Cartridge
Tv System
Reset
Pause
Cartridge Input
SEGA
MASTER SYSTEM / Power Base
®


--- layout: post title: Leading a Support Career… date: 2006-07-24 00:00:00 category: software-development ---
Leading a Support Career…: "creating a new project is always highly expensive business and such expensive business cannot happen every month/quarter/year, so what usually happens is; a classical software professional gets only dozen opportunities of starting a project from scratch in his/her whole life, otherwise most of the time you find yourself fixing bugs of some old goddamned coders and fulfilling SCRs by bloody clients. "


backtype.storm.topology.base
Classes
BaseBasicBolt
BaseBatchBolt
BaseComponent
BaseOpaquePartitionedTransactionalSpout
BasePartitionedTransactionalSpout
BaseRichBolt
BaseRichSpout
BaseTransactionalBolt
BaseTransactionalSpout


|
Jack ChickVery little is known about who "Jack Chick" actually is, but you can infer an awful lot from his voluminous literature, which you have very likely found lying on a bus seat or trampled beneath the feet of college students at any major campus. By his own account, Chick was born to draw comics, but until his conversion to Christianity, he never quite found his niche. As a child, his schoolmates "all agreed not to witness to him, convinced that he was the last guy on earth who would ever accept Jesus Christ." Uh, OK, whatever. After being delivered from the festering sewer of "bad language" that had apparently constituted his whole life before marriage, Chick decided to turn his talents to pamphleteering, beginning with a tract called "Why No Revival?" which condemned the lethargic lack of enthusiasm of modern churchgoers. Many complaints can be made about Jack Chick, but lethargy and lack of enthusiasm are not among them. Chick founded his own company, "Chick Publications," to disseminate his theological insights. These largely consisted of lurid depictions of sin and sinners, visions of the Apocalypse, foreshadowings of Armageddon and virulent attacks on Roman Catholics. One might think that Chick hates Catholics, but (apparently) nothing could be further from the truth! He just hated the sin, not the sinner. According to his Web site, "After much prayer, (Chick) made the decision that, no matter what it cost him personally, he would publish the truth that Roman Catholicism is not Christian. He did it because he loves Catholics and wants them to be saved through faith in Jesus, not trusting in religious liturgy and sacraments. He paid a price for that decision in many ways, as priests and nuns entered Christian bookstores screaming and making a scene, demanding that the store owner not stock Chick tracts." Chick also believed that Baptists were the first Catholics, but that they had been driven underground by Catholic persecution for 1,900 years. Kind of like the Gnostics, except, you know, Baptists. Chick fueled many of his anti-Catholic diatribes with testimony from a supposed ex-priest named Alberto Rivera (no apparent relation to Geraldo). In response to many, many, many allegations that Rivera was simply the deluded concoction of a sick mind, Chick Publications responded: "Though many have tried over the last 10 years, none has successfully refuted the claims that Dr. Rivera has made against the Roman Catholic church." Among the claims forwarded by "Rivera":
One can only hope that when Jack Chick dies, whatever gods there be have enough of a sense of humor to subject him to one of his florid cartoon "O Henry" twist scenes in which Saint Peter rips off his mask to reveal a laughing Satan: "Ha ha!
|


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Agents
Agents in Akka are inspired by agents in Clojure.
Agents provide asynchronous change of individual locations. Agents are bound to a single storage location for their lifetime, and only allow mutation of that location (to a new state) to occur as a result of an action. Update actions are functions that are asynchronously applied to the Agent's state and whose return value becomes the Agent's new state. The state of an Agent should be immutable.
While updates to Agents are asynchronous, the state of an Agent is always immediately available for reading by any thread (using get or apply) without any messages.
Agents are reactive. The update actions of all Agents get interleaved amongst threads in an ExecutionContext. At any point in time, at most one send action for each Agent is being executed. Actions dispatched to an agent from another thread will occur in the order they were sent, potentially interleaved with actions dispatched to the same agent from other threads.
Note
Agents are local to the node on which they are created. This implies that you should generally not include them in messages that may be passed to remote Actors or as constructor parameters for remote Actors; those remote Actors will not be able to read or update the Agent.
Creating Agents
Agents are created by invoking Agent(value) passing in the Agent's initial value and providing an implicit ExecutionContext to be used for it, for these examples we're going to use the default global one, but YMMV:
import scala.concurrent.ExecutionContext.Implicits.global
import akka.agent.Agent
val agent = Agent(5)
Reading an Agent's value
Agents can be dereferenced (you can get an Agent's value) by invoking the Agent with parentheses like this:
val result = agent()
Or by using the get method:
val result = agent.get
Reading an Agent's current value does not involve any message passing and happens immediately. So while updates to an Agent are asynchronous, reading the state of an Agent is synchronous.
Updating Agents (send & alter)
You update an Agent by sending a function that transforms the current value or by sending just a new value. The Agent will apply the new value or function atomically and asynchronously. The update is done in a fire-forget manner and you are only guaranteed that it will be applied. There is no guarantee of when the update will be applied but dispatches to an Agent from a single thread will occur in order. You apply a value or a function by invoking the send function.
// send a value, enqueues this change
// of the value of the Agent
agent send 7
// send a function, enqueues this change
// to the value of the Agent
agent send (_ + 1)
agent send (_ * 2)
You can also dispatch a function to update the internal state but on its own thread. This does not use the reactive thread pool and can be used for long-running or blocking operations. You do this with the sendOff method. Dispatches using either sendOff or send will still be executed in order.
// the ExecutionContext you want to run the function on
implicit val ec = someExecutionContext()
// sendOff a function
agent sendOff longRunningOrBlockingFunction
All send methods also have a corresponding alter method that returns a Future. See Futures for more information on Futures.
// alter a value
val f1: Future[Int] = agent alter 7
// alter a function
val f2: Future[Int] = agent alter (_ + 1)
val f3: Future[Int] = agent alter (_ * 2)
// the ExecutionContext you want to run the function on
implicit val ec = someExecutionContext()
// alterOff a function
val f4: Future[Int] = agent alterOff longRunningOrBlockingFunction
Awaiting an Agent's value
You can also get a Future to the Agents value, that will be completed after the currently queued updates have completed:
val future = agent.future
See Futures for more information on Futures.
Monadic usage
Agents are also monadic, allowing you to compose operations using for-comprehensions. In monadic usage, new Agents are created leaving the original Agents untouched. So the old values (Agents) are still available as-is. They are so-called 'persistent'.
Example of monadic usage:
import scala.concurrent.ExecutionContext.Implicits.global
val agent1 = Agent(3)
val agent2 = Agent(5)
// uses foreach
for (value <- agent1)
println(value)
// uses map
val agent3 = for (value <- agent1) yield value + 1
// or using map directly
val agent4 = agent1 map (_ + 1)
// uses flatMap
val agent5 = for {
value1 <- agent1
value2 <- agent2
} yield value1 + value2
Configuration
There are several configuration properties for the agents module, please refer to the reference configuration.
Deprecated Transactional Agents
Agents participating in enclosing STM transaction is a deprecated feature in 2.3.
If an Agent is used within an enclosing transaction, then it will participate in that transaction. If you send to an Agent within a transaction then the dispatch to the Agent will be held until that transaction commits, and discarded if the transaction is aborted. Here's an example:
import scala.concurrent.ExecutionContext.Implicits.global
import akka.agent.Agent
import scala.concurrent.duration._
import scala.concurrent.stm._
def transfer(from: Agent[Int], to: Agent[Int], amount: Int): Boolean = {
atomic { txn =>
if (from.get < amount) false
else {
from send (_ - amount)
to send (_ + amount)
true
}
}
}
val from = Agent(100)
val to = Agent(20)
val ok = transfer(from, to, 50)
val fromValue = from.future // -> 50
val toValue = to.future // -> 70
Contents


Works by: Drag and drop, right-click
Hot keys: X
Source requirements: One or more source relationships required
Target requirement: One target required
The move operation removes a parent relationship from a term, and creates a new relationship with a different parent. The move operation is analagous to an of "Add Child" operation and a "Delete" operation from the original parent.
To move one or more relationships, select a collection of source relationships that you would like to move. Then, select a target term to which they will be moved by right-clicking the target term or by drag-and-drop.
The move menu item has a flyout submenu of the relationship type that should be used when creating the new relationships:
Select the relationship type you would like for the new relationship, and it will be created. If you would like the new relationship to use the same relationship type as the original source relationship, use the "Use original type" menu option. This is particularly useful if you are creating several relationships at once by using a number of source relationships. If "Use original type" is used with untyped source relationships (ie one or more of your sources is an ontology root) the is_a relationship is used.
When dragging, you can use the X key to specify the "Move" operation. The title above the terms you are dragging will change from "Dragging" to "Move...":
When the term is dropped, the type selection menu will pop up.
If you are holding down the "X" keys while dragging, you can hold down the "Shift" key to indicate that you wish to use the "Use original type" option when assigning relationship types for the newly created relationships. The phrase "Move (original type)" will appear in the title bar above the dragged terms. When the terms are dropped, no menus will appear at all; the new parents or children will be added immediately.


Class: Aws::CloudWatch::Types::MetricDatum
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb |
Overview
Encapsulates the information sent to either create a metric or add new values to be aggregated into an existing metric.
Constant Summary
Instance Attribute Summary
-
#counts ⇒ Array<Float>
rw
Array of numbers that is used along with the
Values
array. -
#dimensions ⇒ Array<Types::Dimension>
rw
The dimensions associated with the metric.
-
#metric_name ⇒ String
rw
The name of the metric.
-
#statistic_values ⇒ Types::StatisticSet
rw
The statistical values for the metric.
-
#storage_resolution ⇒ Integer
rw
Valid values are 1 and 60.
-
#timestamp ⇒ Time
rw
The time the metric data was received, expressed as the number of milliseconds since Jan 1, 1970 00:00:00 UTC.
-
#unit ⇒ String
rw
When you are using a
Put
operation, this defines what unit you want to use when storing the metric. -
#value ⇒ Float
rw
The value for the metric.
-
#values ⇒ Array<Float>
rw
Array of numbers representing the values for the metric during the period.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#counts ⇒ Array
<Float
> (rw)
Array of numbers that is used along with the Values
array. Each
number in the Count
array is the number of times the corresponding
value in the Values
array occurred during the period.
If you omit the Counts
array, the default of 1 is used as the
value for each count. If you include a Counts
array, it must
include the same amount of values as the Values
array.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#dimensions ⇒ Array
<Types::Dimension> (rw)
The dimensions associated with the metric.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#metric_name ⇒ String
(rw)
The name of the metric.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#statistic_values ⇒ Types::StatisticSet (rw)
The statistical values for the metric.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#storage_resolution ⇒ Integer
(rw)
Valid values are 1 and 60. Setting this to 1 specifies this metric
as a high-resolution metric, so that ::Aws::CloudWatch
stores the metric
with sub-minute resolution down to one second. Setting this to 60
specifies this metric as a regular-resolution metric, which
::Aws::CloudWatch
stores at 1-minute resolution. Currently, high resolution
is available only for custom metrics. For more information about
high-resolution metrics, see High-Resolution Metrics in the
Amazon ::Aws::CloudWatch
User Guide.
This field is optional, if you do not specify it the default of 60 is used.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#timestamp ⇒ Time
(rw)
The time the metric data was received, expressed as the number of milliseconds since Jan 1, 1970 00:00:00 UTC.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#unit ⇒ String
(rw)
When you are using a Put
operation, this defines what unit you
want to use when storing the metric.
In a Get
operation, this displays the unit that is used for the
metric.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#value ⇒ Float
(rw)
The value for the metric.
Although the parameter accepts numbers of type Double, ::Aws::CloudWatch
rejects values that are either too small or too large. Values must
be in the range of -2^360 to 2^360. In addition, special values (for
example, NaN, +Infinity, -Infinity) are not supported.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end
#values ⇒ Array
<Float
> (rw)
Array of numbers representing the values for the metric during the
period. Each unique value is listed just once in this array, and the
corresponding number in the Counts
array specifies the number of
times that value occurred during the period. You can include up to
150 unique values in each PutMetricData
action that specifies a
Values
array.
Although the Values
array accepts numbers of type Double
,
::Aws::CloudWatch
rejects values that are either too small or too large.
Values must be in the range of -2^360 to 2^360. In addition, special
values (for example, NaN, +Infinity, -Infinity) are not supported.
# File 'gems/aws-sdk-cloudwatch/lib/aws-sdk-cloudwatch/types.rb', line 2850
class MetricDatum < Struct.new( :metric_name, :dimensions, :, :value, :statistic_values, :values, :counts, :unit, :storage_resolution) SENSITIVE = [] include Aws::Structure end


The Falcon Heavy is the most powerful operational rocket in the world by a factor of two:
With the ability to lift into orbit nearly 64 metric tons (141,000 lb) The Falcon Heavy can lift more than twice the payload of the next closest operational vehicle - the Delta IV Heavy, at one-third the cost.
Technical Overview
Height 70m(229.6 ft)
Stages 2
Total Width 12.2m(39.9ft)
Boosters 2
Mass 1,420,788 kg
Payload to Leo 63,800
Payload to GTO 26,700
Payload to Mars 16,800
Payload to Pluto 3,500
Three cores make up the first stage of Falcon Heavy.
The side cores, or boosters, are connected at the base and at the top of the center core’s liquid oxygen tank. The three cores, with a total of 27 Merlin engines, generate 5.13 million pounds of thrust at liftoff.
Shortly after liftoff the center core engines are throttled down. After the side cores separate, the center core engines throttle back up to full thrust.


pa-side-nav
component allows to add a side navigation to your app.
The side navigation is always visible on desktop, while it is hidden and displayed only on user action such as clicking on a menu button on mobile and tablet.
By default, the sidenav displays only a close button on mobile/tablet.
You can provide your own header by using
pa-side-nav-header
directive. When doing so, make sure to include a close button if you want one (it's always possible to close the
sidenav by clicking on the overlay though)
All the content of a sidenav must be wrapped into
pa-side-nav-content
directive.
When the content is a list of navigation items, you can use
pa-side-nav-item
wrapped into an `ul`.
h2
tag.
{{customHeaderExample}}
Sidenav content example, including a list of sidenav items:
{{codeExample}}


Migration guide from previous version to v7.0 or ulterior
Luckily, migrating from a previous version to the v7.0 should be pretty straightforward as there are not many breaking changes.
Deprecations
Here's a list of all deprecated methods:
-
Curtains class:
- addPlane(): you should now use the Plane class constructor instead.v7.0
- addRenderTarget(): you should now use the RenderTarget class constructor instead.v7.0
- addShaderPass(): you should now use the ShaderPass class constructor instead.v7.0
- removePlane(): you should now use the Plane class remove() method instead.v7.0
- removeRenderTarget(): you should now use the RenderTarget class remove() method instead.v7.0
- removeShaderPass(): you should now use the ShaderPass class remove() method instead.v7.0
-
Plane class:
- setRelativePosition(): you should use the setRelativeTranslation() method instead.v8.0
- moveToFront(): you should use the setRenderOrder() method instead.v8.0
- planeResize(): you should use the resize() method instead.v7.3
-
Texture class:
- setFromTexture(): you should use the copy() method instead.v7.3
Parameters change
Here's a list of all the instanciation and method parameters that changed:
-
Plane class:
-
Creation:
-
Methods:
- mouseToPlaneCoords(): now uses a Vec2 class object instead of 2 floats.v7.0
- setRelativeTranslation(): now uses a Vec3 class object instead of 3 floats.v7.0
- setRotation(): now uses a Vec3 class object instead of 3 floats.v7.0
- setScale(): now uses a Vec2 class object instead of 2 floats.v7.0
- setTransformOrigin(): now uses a Vec3 class object instead of 3 floats.v7.0
-
-
Texture class:
-
Methods:
- setScale(): now uses a Vec2 class object instead of 2 floats.v7.0
-
-
ShaderPass class:
Properties changed
Here's a list of all the object properties name that changed:
-
Curtains class:
- glCanvas: has been renamed to canvas.v7.0
- productionMode: has been renamed to production.v7.0
-
Texture class:
- type: has been renamed to sourceType.v7.0


Company profile - Canadian Company Capabilities
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Averna
Mailing Address:
510-87 Prince StMONTRÉAL, Quebec
H3C 2M7
Location Address:
510-87 Prince StMONTRÉAL, Quebec
H3C 2M7
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Averna is a premier manufacturing solution provider for communications and electronics device-makers worldwide, helping them deliver a better end-user customer experience. Key clients in the communications, aerospace, defense, automotive, consumer electronics, and medical device industries use Proligent, RF Test Instruments and other Averna test solutions to accelerate product development, reduce manufacturing costs, achieve superior quality throughout the lifecycle, and solve critical supply chain issues. Incorporated in 1999, Averna has won many awards and has offices and partners around the world.
Full profile
Full profile
Contact information
Company description
541510 - Computer Systems Design and Related Services
Product / Service / Licensing
Optimized for real-time signal processing with FPGA technology, the DP-360 analyzes up to four single or bonded upstream channels and up to eight single or bonded downstream channels (4x4 or 8x4), with numerous channel-filtering and display features.
By capturing and filtering DOCSIS MAC layer data in real-time, the DP-360 enables full automation and remote operation so you can quickly troubleshoot network issues and get your products to market faster than the competition.
With the desktop DCE, you can acquire, impair and easily generate up to 24 DOCSIS or EuroDOCSIS downstream (DS) channels in real-time, anywhere in your lab. And the DCEs software-based approach and modular architecture protect your investment, allowing you to easily cover your current and future test needs.
Certification labs, standards bodies, and leading manufacturers use Jupiter to test cable modems, set-top boxes, residential gateways and other customer-premises equipment (CPE) devices. It enables comprehensive, automated PHY layer testing for data-over-cable CPE developers, helping them dramatically reduce DOCSIS test times early in the lifecycle and to speed up time-to-market.
RP-5300 Series:
Our RP-5300 2-Channel, 50 MHz Compact RF Recorder captures real-world RF signals, with impairments, for professional GNSS and similar applications for receiver validation, testing and support. Its perfect for both field and performance testing and, with 50 MHz of bandwidth, it can record multiple GNSS signals in multiple bands (L1, L2, L5), such as GPS or GLONASS.
RP-5100 Series:
Our RP-5100 Multi-Channel, 20 MHz Compact RF Recorder captures real-world RF signals, with impairments, for Broadcast Radio, as well as Navigation and Video receiver validation, testing and support. It is an advanced tool for both field testing and performance testing, featuring support for a broad range of frequencies from 250 kHz up to 2.5 GHz and 20 MHz.
RP-3200:
The RP-3200 Multi-Channel Wideband RF Record and Playback is a state-of-the-art, wideband L1, L2, L5 recorder for capturing real-world and real-time multi-GNSS signals in the field and replaying them in a controlled laboratory environment. The RP-3200 more than meets the needs of the Global Navigation Satellite System (GNSS) market, where precision and robustness demand a wideband, high-dynamic-range multi-channel record-and-playback system.
RF playback of real-world signals captured with Averna Record & Playback technology.
URT-5000:
The state-of-the-art URT-5000 software-defined RF Player and Signal Generator utilizes Averna protocol-specific signal-generation toolkits and signal libraries to generate and impair common Navigation and Broadcast Radio signals for receiver design validation, testing, production and support. The URT-5000 supports RF playback of real-world conditions, often too complex to simulate, captured with an Averna Record & Playback field instrument.
The URT-5000 is the RF test instrument of choice in the automotive, semiconductor, consumer electronics, communications and other industries. It enables you to accurately and consistently play back unique, complex field conditions during the receiver development phase, which reduces costly trips back to the field to validate each engineering change.
URT-4000:
The Averna URT-4000 is a state-of-the-art RF signal source that utilizes Averna protocol-specific signal-generation toolkits and signal libraries to generate and impair common Navigation and Broadcast Radio signals for receiver testing, production and support. The URT-4000 has been optimized for radio manufacturing needs and is an ideal RF signal generator for Functional Test, ATE, End-of-Line and other test stations. The URT-4000 is packed with features important for manufacturing test, such as remote-system health and fan monitoring, an easy-to-use remote API for sequencing signal generation to improve throughput, and fast switching time between protocols and level settings.
URT-2200 - RF Player for GNSS:
The URT-2200 RF Player features 50 MHz of real-time playback bandwidth and is based on a PXI platform. This model supports up to four channels of high-coherent synchronization per chassis (and multi-chassis sync), perfectly suited for professional GNSS L1/L2/L5 applications that require reliable repetition of real-world multi-frequency signals.With an optional 24 TB RAID to stream back many hours of RF recordings, and a high-precision 10 MHz reference clock, the URT-2200 helps accelerate your regression testing of new receiver configurations, develop algorithms, and play back scenarios, including those recorded from a GNSS simulator.
Proligent Analytics is packaged in a test-ready, rack-mountable appliance with full redundancy, right-sized for your data needs. It maximizes your ROI while requiring minimal integration and maintenance. Whether you need higher yields and quality, better traceability, instant asset information or lower labor costs, Proligent Analytics gives you the edge on all your test activities.
Test Engineering is our core business. Our wide experience providing industry-leading test solutions around the world for hundreds of customers, many industries and countless applications means we can offer you the ideal test solution for your product, budget and schedule.
Our services and expertise range from test specification development and custom hardware/software/FPGAs to flexible design-validation systems and numerous automated functional test stations.
Our Test Engineering Services:
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- Software development: NI TestStand, LabVIEW, C++, C#, .NET, Java
and more...
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- Test system engineering, architecture and Design for Test (DFT)
- Software development (NI LabVIEW, TestStand, SQL, C++, C#, .NET, Visual Basic, etc.)
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Systems and Projects:
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Market profile
Industry sector market interests:
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- Automotive
- Electrical Equipment
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541510 - Computer Systems Design and Related Services
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Optimized for real-time signal processing with FPGA technology, the DP-360 analyzes up to four single or bonded upstream channels and up to eight single or bonded downstream channels (4x4 or 8x4), with numerous channel-filtering and display features.
By capturing and filtering DOCSIS MAC layer data in real-time, the DP-360 enables full automation and remote operation so you can quickly troubleshoot network issues and get your products to market faster than the competition.
With the desktop DCE, you can acquire, impair and easily generate up to 24 DOCSIS or EuroDOCSIS downstream (DS) channels in real-time, anywhere in your lab. And the DCEs software-based approach and modular architecture protect your investment, allowing you to easily cover your current and future test needs.
Certification labs, standards bodies, and leading manufacturers use Jupiter to test cable modems, set-top boxes, residential gateways and other customer-premises equipment (CPE) devices. It enables comprehensive, automated PHY layer testing for data-over-cable CPE developers, helping them dramatically reduce DOCSIS test times early in the lifecycle and to speed up time-to-market.
RP-5300 Series:
Our RP-5300 2-Channel, 50 MHz Compact RF Recorder captures real-world RF signals, with impairments, for professional GNSS and similar applications for receiver validation, testing and support. Its perfect for both field and performance testing and, with 50 MHz of bandwidth, it can record multiple GNSS signals in multiple bands (L1, L2, L5), such as GPS or GLONASS.
RP-5100 Series:
Our RP-5100 Multi-Channel, 20 MHz Compact RF Recorder captures real-world RF signals, with impairments, for Broadcast Radio, as well as Navigation and Video receiver validation, testing and support. It is an advanced tool for both field testing and performance testing, featuring support for a broad range of frequencies from 250 kHz up to 2.5 GHz and 20 MHz.
RP-3200:
The RP-3200 Multi-Channel Wideband RF Record and Playback is a state-of-the-art, wideband L1, L2, L5 recorder for capturing real-world and real-time multi-GNSS signals in the field and replaying them in a controlled laboratory environment. The RP-3200 more than meets the needs of the Global Navigation Satellite System (GNSS) market, where precision and robustness demand a wideband, high-dynamic-range multi-channel record-and-playback system.
RF playback of real-world signals captured with Averna Record & Playback technology.
URT-5000:
The state-of-the-art URT-5000 software-defined RF Player and Signal Generator utilizes Averna protocol-specific signal-generation toolkits and signal libraries to generate and impair common Navigation and Broadcast Radio signals for receiver design validation, testing, production and support. The URT-5000 supports RF playback of real-world conditions, often too complex to simulate, captured with an Averna Record & Playback field instrument.
The URT-5000 is the RF test instrument of choice in the automotive, semiconductor, consumer electronics, communications and other industries. It enables you to accurately and consistently play back unique, complex field conditions during the receiver development phase, which reduces costly trips back to the field to validate each engineering change.
URT-4000:
The Averna URT-4000 is a state-of-the-art RF signal source that utilizes Averna protocol-specific signal-generation toolkits and signal libraries to generate and impair common Navigation and Broadcast Radio signals for receiver testing, production and support. The URT-4000 has been optimized for radio manufacturing needs and is an ideal RF signal generator for Functional Test, ATE, End-of-Line and other test stations. The URT-4000 is packed with features important for manufacturing test, such as remote-system health and fan monitoring, an easy-to-use remote API for sequencing signal generation to improve throughput, and fast switching time between protocols and level settings.
URT-2200 - RF Player for GNSS:
The URT-2200 RF Player features 50 MHz of real-time playback bandwidth and is based on a PXI platform. This model supports up to four channels of high-coherent synchronization per chassis (and multi-chassis sync), perfectly suited for professional GNSS L1/L2/L5 applications that require reliable repetition of real-world multi-frequency signals.With an optional 24 TB RAID to stream back many hours of RF recordings, and a high-precision 10 MHz reference clock, the URT-2200 helps accelerate your regression testing of new receiver configurations, develop algorithms, and play back scenarios, including those recorded from a GNSS simulator.
Proligent Analytics is packaged in a test-ready, rack-mountable appliance with full redundancy, right-sized for your data needs. It maximizes your ROI while requiring minimal integration and maintenance. Whether you need higher yields and quality, better traceability, instant asset information or lower labor costs, Proligent Analytics gives you the edge on all your test activities.
Test Engineering is our core business. Our wide experience providing industry-leading test solutions around the world for hundreds of customers, many industries and countless applications means we can offer you the ideal test solution for your product, budget and schedule.
Our services and expertise range from test specification development and custom hardware/software/FPGAs to flexible design-validation systems and numerous automated functional test stations.
Our Test Engineering Services:
- Design for Test (DFT) services and manufacturing test consulting
- Design-validation and lab-style bench-top systems
- Automated Test Equipment (ATE) design and manufacture
- Custom hardware and embedded software/FPGAs
- Build-to-Print service for fast test-station replication
- Power consumption/dissipation analysis
- Software development: NI TestStand, LabVIEW, C++, C#, .NET, Java
and more...
Leverage Avernas Test Engineering expertise and Build-to-Print track record to boost your product quality, improve your throughput and increase your competitive edge.
Our Build-to-Print Service Offering:
Whether you need 2 or 200 test stations, we have the sourcing, engineering, project management, quality control, logistics and support expertise to guarantee success.
Need special onsite technical or consulting expertise? We have the design, system engineering, hardware, software and validation experts you need to guarantee success for a wide range of projects. Whether on a short-, mid- or long-term basis, we place our experts with many organizations from startups and niche product developers to multinational engineering and manufacturing firms.
Skills and Expertise:
- Test system engineering, architecture and Design for Test (DFT)
- Software development (NI LabVIEW, TestStand, SQL, C++, C#, .NET, Visual Basic, etc.)
- Hardware (FPGAs, PCBs, fixtures, high-speed digital, embedded processors, etc.)
- System and software validation, and test automation
- Engineering processes, tools and methodology
Systems and Projects:
- Monitoring and communications systems
- Data Acquisition and Measurement
- High-availability client-server
- Entertainment and Infotainment
- Real-Time and Mobile Embedded Applications
Industries:
- Military and aerospace
- Electronic and Consumer Products
- Telecommunication and optics
- Transportation (trains, ships, automotive, etc.)
- Medical devices and multimedia
- Mining and energy
Sample Averna Test Support Services:
- Calibration: We are test instrument calibration and configuration experts, with thousands of successful projects and systems behind us. Let us set up your test equipment as effectively and efficiently as possible.
- Deployment: With offices, partners and customers around the world, we are ideally positioned to configure, deliver, deploy and manage your test stations and other hardware.
- Refurbishment: Contact Averna when its time to retool a test station with new hardware, updated software or modified fixtures to optimize your test assets.
- Tracking: You invest a lot in your test assets, so take advantage of our services to know exactly where they are, what they contain, how they are being used, and how to make the most of them.
- Logistics: We have extensive experience managing shipping, handling, and customs processes, storing spare parts and equipment, and handling global parts requests and consignments.
- Documentation & Training: We can document your test activities, maintain troubleshooting guides, create operating manuals, provide feedback on existing documentation, and deliver training to EMSs.
Market
Market profile
Industry sector market interests:
- Information Technology and Telecommunications
- Medical/Biotechnology/Chemical
- Service Industry
- Aerospace
- Defence
- Automotive
- Electrical Equipment


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