| 1 | /* =========================================================== | |
| 2 | * JFreeChart : a free chart library for the Java(tm) platform | |
| 3 | * =========================================================== | |
| 4 | * | |
| 5 | * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors. | |
| 6 | * | |
| 7 | * Project Info: http://www.jfree.org/jfreechart/index.html | |
| 8 | * | |
| 9 | * This library is free software; you can redistribute it and/or modify it | |
| 10 | * under the terms of the GNU Lesser General Public License as published by | |
| 11 | * the Free Software Foundation; either version 2.1 of the License, or | |
| 12 | * (at your option) any later version. | |
| 13 | * | |
| 14 | * This library is distributed in the hope that it will be useful, but | |
| 15 | * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY | |
| 16 | * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public | |
| 17 | * License for more details. | |
| 18 | * | |
| 19 | * You should have received a copy of the GNU Lesser General Public | |
| 20 | * License along with this library; if not, write to the Free Software | |
| 21 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, | |
| 22 | * USA. | |
| 23 | * | |
| 24 | * [Java is a trademark or registered trademark of Sun Microsystems, Inc. | |
| 25 | * in the United States and other countries.] | |
| 26 | * | |
| 27 | * ------------------- | |
| 28 | * CompositeTitle.java | |
| 29 | * ------------------- | |
| 30 | * (C) Copyright 2005-2008, by David Gilbert and Contributors. | |
| 31 | * | |
| 32 | * Original Author: David Gilbert (for Object Refinery Limited); | |
| 33 | * Contributor(s): Eric Penfold (patch 2006826); | |
| 34 | * | |
| 35 | * Changes | |
| 36 | * ------- | |
| 37 | * 19-Nov-2004 : Version 1 (DG); | |
| 38 | * 11-Jan-2005 : Removed deprecated code in preparation for 1.0.0 release (DG); | |
| 39 | * 04-Feb-2005 : Implemented MAXIMUM_WIDTH in calculateSize (DG); | |
| 40 | * 20-Apr-2005 : Added new draw() method (DG); | |
| 41 | * 03-May-2005 : Implemented equals() method (DG); | |
| 42 | * 20-Jun-2007 : Removed JCommon dependencies (DG); | |
| 43 | * 02-Jul-2008 : Applied patch 2006826 by Eric Penfold, to enable chart | |
| 44 | * entities to be generated (DG); | |
| 45 | * 09-Jul-2008 : Added backgroundPaint field (DG); | |
| 46 | * | |
| 47 | */ | |
| 48 | ||
| 49 | package org.jfree.chart.title; | |
| 50 | ||
| 51 | import java.awt.Graphics2D; | |
| 52 | import java.awt.Paint; | |
| 53 | import java.awt.geom.Rectangle2D; | |
| 54 | import java.io.IOException; | |
| 55 | import java.io.ObjectInputStream; | |
| 56 | import java.io.ObjectOutputStream; | |
| 57 | import java.io.Serializable; | |
| 58 | ||
| 59 | import org.jfree.chart.block.BlockContainer; | |
| 60 | import org.jfree.chart.block.BorderArrangement; | |
| 61 | import org.jfree.chart.block.RectangleConstraint; | |
| 62 | import org.jfree.chart.event.TitleChangeEvent; | |
| 63 | import org.jfree.chart.util.PaintUtilities; | |
| 64 | import org.jfree.chart.util.SerialUtilities; | |
| 65 | import org.jfree.chart.util.Size2D; | |
| 66 | ||
| 67 | /** | |
| 68 | * A title that contains multiple titles within a {@link BlockContainer}. | |
| 69 | */ | |
| 70 | public class CompositeTitle extends Title implements Cloneable, Serializable { | |
| 71 | ||
| 72 | /** For serialization. */ | |
| 73 | private static final long serialVersionUID = -6770854036232562290L; | |
| 74 | ||
| 75 | /** | |
| 76 | * The background paint. | |
| 77 | * | |
| 78 | * @since 1.0.11 | |
| 79 | */ | |
| 80 | private transient Paint backgroundPaint; | |
| 81 | ||
| 82 | /** A container for the individual titles. */ | |
| 83 | private BlockContainer container; | |
| 84 | ||
| 85 | /** | |
| 86 | * Creates a new composite title with a default border arrangement. | |
| 87 | */ | |
| 88 | public CompositeTitle() { | |
| 89 | this(new BlockContainer(new BorderArrangement())); | |
| 90 | } | |
| 91 | ||
| 92 | /** | |
| 93 | * Creates a new title using the specified container. | |
| 94 | * | |
| 95 | * @param container the container (null not permitted). | |
| 96 | */ | |
| 97 | public CompositeTitle(BlockContainer container) { | |
| 98 |
1
1. |
if (container == null) { |
| 99 | throw new IllegalArgumentException("Null 'container' argument."); | |
| 100 | } | |
| 101 | this.container = container; | |
| 102 | this.backgroundPaint = null; | |
| 103 | } | |
| 104 | ||
| 105 | /** | |
| 106 | * Returns the background paint. | |
| 107 | * | |
| 108 | * @return The paint (possibly null). | |
| 109 | * | |
| 110 | * @since 1.0.11 | |
| 111 | */ | |
| 112 | public Paint getBackgroundPaint() { | |
| 113 |
1
1. getBackgroundPaint : mutated return of Object value for org/jfree/chart/title/CompositeTitle::getBackgroundPaint to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return this.backgroundPaint; |
| 114 | } | |
| 115 | ||
| 116 | /** | |
| 117 | * Sets the background paint and sends a {@link TitleChangeEvent} to all | |
| 118 | * registered listeners. If you set this attribute to null, | |
| 119 | * no background is painted (which makes the title background transparent). | |
| 120 | * | |
| 121 | * @param paint the background paint (null permitted). | |
| 122 | * | |
| 123 | * @since 1.0.11 | |
| 124 | */ | |
| 125 | public void setBackgroundPaint(Paint paint) { | |
| 126 | this.backgroundPaint = paint; | |
| 127 |
1
1. setBackgroundPaint : removed call to org/jfree/chart/title/CompositeTitle::notifyListeners → SURVIVED |
notifyListeners(new TitleChangeEvent(this)); |
| 128 | } | |
| 129 | ||
| 130 | /** | |
| 131 | * Returns the container holding the titles. | |
| 132 | * | |
| 133 | * @return The title container (never null). | |
| 134 | */ | |
| 135 | public BlockContainer getContainer() { | |
| 136 |
1
1. getContainer : mutated return of Object value for org/jfree/chart/title/CompositeTitle::getContainer to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return this.container; |
| 137 | } | |
| 138 | ||
| 139 | /** | |
| 140 | * Sets the title container. | |
| 141 | * | |
| 142 | * @param container the container (null not permitted). | |
| 143 | */ | |
| 144 | public void setTitleContainer(BlockContainer container) { | |
| 145 |
1
1. setTitleContainer : negated conditional → NO_COVERAGE |
if (container == null) { |
| 146 | throw new IllegalArgumentException("Null 'container' argument."); | |
| 147 | } | |
| 148 | this.container = container; | |
| 149 | } | |
| 150 | ||
| 151 | /** | |
| 152 | * Arranges the contents of the block, within the given constraints, and | |
| 153 | * returns the block size. | |
| 154 | * | |
| 155 | * @param g2 the graphics device. | |
| 156 | * @param constraint the constraint (null not permitted). | |
| 157 | * | |
| 158 | * @return The block size (in Java2D units, never null). | |
| 159 | */ | |
| 160 | public Size2D arrange(Graphics2D g2, RectangleConstraint constraint) { | |
| 161 | RectangleConstraint contentConstraint = toContentConstraint(constraint); | |
| 162 | Size2D contentSize = this.container.arrange(g2, contentConstraint); | |
| 163 |
1
1. arrange : mutated return of Object value for org/jfree/chart/title/CompositeTitle::arrange to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new Size2D(calculateTotalWidth(contentSize.getWidth()), |
| 164 | calculateTotalHeight(contentSize.getHeight())); | |
| 165 | } | |
| 166 | ||
| 167 | /** | |
| 168 | * Draws the title on a Java 2D graphics device (such as the screen or a | |
| 169 | * printer). | |
| 170 | * | |
| 171 | * @param g2 the graphics device. | |
| 172 | * @param area the area allocated for the title. | |
| 173 | */ | |
| 174 | public void draw(Graphics2D g2, Rectangle2D area) { | |
| 175 | draw(g2, area, null); | |
| 176 | } | |
| 177 | ||
| 178 | /** | |
| 179 | * Draws the block within the specified area. | |
| 180 | * | |
| 181 | * @param g2 the graphics device. | |
| 182 | * @param area the area. | |
| 183 | * @param params ignored (null permitted). | |
| 184 | * | |
| 185 | * @return Always null. | |
| 186 | */ | |
| 187 | public Object draw(Graphics2D g2, Rectangle2D area, Object params) { | |
| 188 | area = trimMargin(area); | |
| 189 |
1
1. draw : removed call to org/jfree/chart/title/CompositeTitle::drawBorder → NO_COVERAGE |
drawBorder(g2, area); |
| 190 | area = trimBorder(area); | |
| 191 |
1
1. draw : negated conditional → NO_COVERAGE |
if (this.backgroundPaint != null) { |
| 192 |
1
1. draw : removed call to java/awt/Graphics2D::setPaint → NO_COVERAGE |
g2.setPaint(this.backgroundPaint); |
| 193 |
1
1. draw : removed call to java/awt/Graphics2D::fill → NO_COVERAGE |
g2.fill(area); |
| 194 | } | |
| 195 | area = trimPadding(area); | |
| 196 |
1
1. draw : mutated return of Object value for org/jfree/chart/title/CompositeTitle::draw to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return this.container.draw(g2, area, params); |
| 197 | } | |
| 198 | ||
| 199 | /** | |
| 200 | * Tests this title for equality with an arbitrary object. | |
| 201 | * | |
| 202 | * @param obj the object (null permitted). | |
| 203 | * | |
| 204 | * @return A boolean. | |
| 205 | */ | |
| 206 | public boolean equals(Object obj) { | |
| 207 |
1
1. equals : negated conditional → KILLED |
if (obj == this) { |
| 208 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 209 | } | |
| 210 |
1
1. equals : negated conditional → KILLED |
if (!(obj instanceof CompositeTitle)) { |
| 211 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 212 | } | |
| 213 | CompositeTitle that = (CompositeTitle) obj; | |
| 214 |
1
1. equals : negated conditional → KILLED |
if (!this.container.equals(that.container)) { |
| 215 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 216 | } | |
| 217 |
1
1. equals : negated conditional → KILLED |
if (!PaintUtilities.equal(this.backgroundPaint, that.backgroundPaint)) { |
| 218 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return false; |
| 219 | } | |
| 220 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return super.equals(obj); |
| 221 | } | |
| 222 | ||
| 223 | /** | |
| 224 | * Provides serialization support. | |
| 225 | * | |
| 226 | * @param stream the output stream. | |
| 227 | * | |
| 228 | * @throws IOException if there is an I/O error. | |
| 229 | */ | |
| 230 | private void writeObject(ObjectOutputStream stream) throws IOException { | |
| 231 |
1
1. writeObject : removed call to java/io/ObjectOutputStream::defaultWriteObject → KILLED |
stream.defaultWriteObject(); |
| 232 |
1
1. writeObject : removed call to org/jfree/chart/util/SerialUtilities::writePaint → KILLED |
SerialUtilities.writePaint(this.backgroundPaint, stream); |
| 233 | } | |
| 234 | ||
| 235 | /** | |
| 236 | * Provides serialization support. | |
| 237 | * | |
| 238 | * @param stream the input stream. | |
| 239 | * | |
| 240 | * @throws IOException if there is an I/O error. | |
| 241 | * @throws ClassNotFoundException if there is a classpath problem. | |
| 242 | */ | |
| 243 | private void readObject(ObjectInputStream stream) | |
| 244 | throws IOException, ClassNotFoundException { | |
| 245 |
1
1. readObject : removed call to java/io/ObjectInputStream::defaultReadObject → KILLED |
stream.defaultReadObject(); |
| 246 | this.backgroundPaint = SerialUtilities.readPaint(stream); | |
| 247 | } | |
| 248 | ||
| 249 | } | |
Mutations | ||
| 98 |
1.1 |
|
| 113 |
1.1 |
|
| 127 |
1.1 |
|
| 136 |
1.1 |
|
| 145 |
1.1 |
|
| 163 |
1.1 |
|
| 189 |
1.1 |
|
| 191 |
1.1 |
|
| 192 |
1.1 |
|
| 193 |
1.1 |
|
| 196 |
1.1 |
|
| 207 |
1.1 |
|
| 208 |
1.1 |
|
| 210 |
1.1 |
|
| 211 |
1.1 |
|
| 214 |
1.1 |
|
| 215 |
1.1 |
|
| 217 |
1.1 |
|
| 218 |
1.1 |
|
| 220 |
1.1 |
|
| 231 |
1.1 |
|
| 232 |
1.1 |
|
| 245 |
1.1 |


XML-RPC.NET
Latest News
12th March 2012
A new snapshot of release 3.0.0 now available here.
29th August 2011
A new snapshot of release 3.0.0 now available here.
15th May 2011
The release 3.0.0 development snapshot of XML-RPC.NET is now available on NuGet as two packages:
NuGet doesn't support pre-release packages so the dev snapshot is displayed in the Visual Studio "Add Library Package Reference", not the recommended 2.5.0 release. Charles Cook has blogged about a workaround for this — Installing Current Release of XML-RPC.NET from NuGet .
17th April 2011
Snapshot of release 3.0.0 now available here.
18th March 2011
Charles Cook blogs some sample code for accessing the Internet UPC Database.
12th January 2011
XML-RPC.NET is now available via NuGet. Charles Cook blogs about this here.
1st August 2010
Scott Hanselman blogs about using XML-RPC.NET to implement a local server that exposes the MetaWeblog API: NotABlog: A Local XML-RPC MetaWebLog Endpoint That Lies To Windows Live Writer


Notification service is not added
and enabled. add & enable now
No Record
| Name | Channel | Rule | Type | Status |
|---|---|---|---|---|
| {{instance.name}} | {{instance.channel}} | {{instance.rule}} | {{instance.notificationType}} |


Notification
This is a Cordova application that uses the Notification API.
Beep
One
Two
Three
Vibration
Duration
Vibrate
Alert
One
Two
Confirm
Confirm
Prompt
Prompt


Using Types in Configuration File¶
Many configuration elements reference C# types.
Either the full type name of the element should be specified using a type attribute (the attribute name might be different depending on element), or type alias should be specified, to reference a type declared in element under element /iocConfiguration/typeDefinitions/typeDefinitions (see below for more details).
Some examples are:
<service type=”DynamicallyLoadedAssembly1.Interfaces.IInterface1”>
<service type=”DynamicallyLoadedAssembly1.Interfaces.IInterface2 assembly=”shared_services”>
<service typeRef=”IInterface1”>
- If the element uses the full type name, an optional attribute assembly can be used to specify the assembly, where the type is.
Note
Refer to Assemblies and Probing Paths for more details on assemblies in configuration file.
IoC.Configuration looks up the type in all the assemblies under element /iocConfiguration/assemblies.
Note
Refer to IoCConfiguration_GenericTypesAndTypeReUse.xml for more examples of using types in configuration file.
Generic Types in Configuration File¶
To reference generic types, list the comma separated generic type parameters within opening and closing square brackets (i.e., []) after the type name.
Some examples are:
<!--This type is similar to C# type
SharedServices.Implementations.Generic.Generic1_1<SharedServices.Implementations.Interface1_Impl1> -->
<implementation
type="SharedServices.Implementations.Generic.Generic1_1[SharedServices.Implementations.Interface1_Impl1]"
scope="singleton" />
<!--This type is similar to C# type
SharedServices.Interfaces.Generic.IGeneric2_1<SharedServices.Implementations.Generic.Generic3_1<System.Int32> -->
<service
type="SharedServices.Interfaces.Generic.IGeneric2_1[SharedServices.Implementations.Generic.Generic3_1[System.Int32]]" >
Array Types in Configuration File¶
Array types can be specified by appending character # after the array item type name.
Example is:
<!--The type definition below is similar to C# type SharedServices.Interfaces.IInterface1[]--> <service type="SharedServices.Interfaces.IInterface1#" > <!--Some implementation for service SharedServices.Interfaces.IInterface1[] goes here.--> </service>
Re-Using Types¶
To avoid specifying the full type name in multiple elements in configuration file, we can define the type in /iocConfiguration/typeDefinitions/typeDefinition element, and reference the type using tye type alias in other elements.
Here is an example of declaring a type System.Collections.Generic.IEnumerable<SharedServices.Interfaces.IInterface1> with alias IEnumerableOf_IInterface1 in typeDefinition element:
<typeDefinitions> <typeDefinition alias="IEnumerableOf_IInterface1" type="System.Collections.Generic.IEnumerable[SharedServices.Interfaces.IInterface1]" /> </typeDefinitions>
Here is an example of referencing the type with alias IEnumerableOf_IInterface1 declared in typeDefinition element:
<service typeRef="IEnumerableOf_IInterface1"> <!--Some implementation for service System.Collections.Generic.IEnumerable<SharedServices.Interfaces.IInterface1> goes here.--> </service>


WWD Report Card: Does That Come With a Wand?
Brie Larson went fairy godmother while Billie Eilish and Rosalía battled out oversize looks.
by Leigh Nordstrom, Alex BadiaBest and worst of the week:
Dakota Johnson: B+
She does the sequined tuxedo look very well.  The denim-friendly belt feels out of place, though.
Rosalía: C+
We’re all about a heritage flamenco allover polka dot — but this falls flat. She’s very successfully modernizing flamenco music, but it doesn’t translate well to clothing in this attempt.
Billie Eilish: B-
Eilish is known for favoring the slouch, but the pajama fabric here makes it feel too akin to a Snuggie. We are loving the dramatic sunglasses and green roots, though.
Brie Larson: D+
We hope that this fairy-godmother gown comes with a wand — that way she can turn this dress into something less bippity-boppity-boop.
Nicole Kidman: D
Is she preparing for the sequel of “The Others?” That’s the only thing that would excuse this ghost-like look.
Laura Dern: C-
Between the beehive and the matriarchal dress, the aggressive cleavage feels confusing. We prefer Dern with a bit more edge — and less body oil.
Dua Lipa: B+
She’s unapologetic in this look: the extreme bleached hair pulled back, with the corset and garter, exudes confidence and fierceness. We want to be part of this clique.
Cynthia Erivo: A-
There is a major tension between the punkness and prettiness with the hair spikes and the baby pink formfitting gown. The shade of the dress is complimented by the hot pink stiletto — though we would lose the bracelets.


Loading user organisation...
My organisation (as administrator)
Loading students...
Students of my organisation
0"
[students]="organisationStudents" [canUpdate]="organisation.isActive">
0)">
No students found for my organisation.
Other students
0"
[students]="otherStudents" >
0)">
No
others students found.


You walk around the library going in and out of so many rows of books. From outside this place didn't seem nearly as massive as it does now. You see a sign with an arrow just pointing up the stairs.  More books, and more books, and even more books. OMG you think and then you see the glowing blue screen of a computer.  Next to the montitor you see a sign that says "Dont forget your password is your library card number" ~The Library Staff. Welp, lets go downstairs and ring that bell. You bound down the stairs go back to the desk and ring ring the bell. Nothing happens. You ring it again and look behind you.


How it Works
mkbook generates a completely static, javascript-free website from a series of Markdown files. All of the layout and styling is controlled purely by hand-crafted CSS specific to this book’s purpose.
Assets
mkbook currently bundles two assets which get written into the book directory: favicon.ico
, and icons.svg
. favicon.ico
is the Font Awesome 5 book icon, and icons.svg
contains 3 Font Awesome 5 arrow icons: arrow-left, arrow-right, and arrow-up which are used for navigation. These files are compiled into the mkbook binary using the include_bytes!
macro, and written to the output folder on each build.
Styling
mkbook utilizes Sass to define it’s styles; you can view the sources on github. In mkbook’s build script, the styles are compiled from their native .scss
format into a single, compressed .css
file using sass-rs. The resulting .css
file is then bundled into the binary using the include_str!
macro. When a book is generated, this .css
is written to the output folder as style.css
, where it is included by each generated .html
file.
Templates
mkbook contains two template files: one for the index, and one for each page / chapter, and uses Askama to render the templates. Since the Askama templates are compiled when mkbook is compiled, it is not currently possible to change the templates at run time. You can view the sources for these templates on github.
Markdown Formatting
Markdown is formatted usiing comrak with some specific options, see the Markdown chapter for more information.
Syntax Highlighting
Code is syntax-highlighted using syntect with the default langauges and the base16-eighties
colour scheme. Some additional languages above the base list supported by syntect have been aded:


The Smart Move app is your personal move manager allowing you coordinate all the different activites involved in the buying and / or selling of your property.
The Task List is your personal task list showing the steps involved in completing all individual mile-stones and acheiving your end goals, loaded with an initial set of standard categories and associated tasks, edit remove or add tasks to suit your needs.
Tasks allow you to break down required activities into suitable chunks to manage, you can add documents, photos, locations, notes, dates, moneatry values and much more to each task!
The Quick View is a pin board allowing you to add high priority or favourite tasks for quick access
Contacts allows you to create contact cards of people / companies associated with your tasks, you can link to contact information on your device, store notes and contact via phone/sms/email directly from one place
Services provides useful utilities to aid in your completion of activities all useful services can be accessed from this simple portal!


Conor McGregor's next opponent agreed with the UFC ahead of January 18 fight
Donald 'Cowboy' Cerrone is the favourite to take on 'The Notorious' at the T-Mobile Arena in Las Vegas on January 18
by Alex HarrisConor McGregor’s comeback fight opponent has been agreed with the UFC, according to the Irishman’s manager Audie Attar.
‘The Notorious’ recently announced he will return to the Octagon on January 18 is Las Vegas but has so far failed to reveal who he would be facing.
Attar says details of the match-up are close to being confirmed, however.
"We had very productive talks this weekend with the UFC," he told ESPN.
"I know Conor has announced a date, and in terms of discussions we have agreed on that date and we have agreed on that opponent.
"We're not going to reveal anything tonight but a deal is imminent, I don't see anything getting in the way barring some unforeseen circumstances.
"Both parties want to get it done, it's in the best interests of everyone involved and more importantly the fans are really excited to see him back."
Donald Cerrone is UFC bigwig Dana White’s preferred opponent for McGregor, in what will be his first bout since losing to Khabib Nurmagomedov last year.
Attar believes the fight makes sense but refused to confirm if ‘Cowboy’ is the unnamed opponent.

"From a business standpoint, lets see how this plays out."
McGregor outlined his plan for the season at last month’s press conference in Russia.
After his comeback fight, the 31-year-old fancies a crack at Jorge Masvidal after his win against Nate Diaz at UFC 244, before rounding off 2020 with a rematch against Nurmagomedov.
And Attar said: "Conor is really committed to this 'season' where he will fight three times this year, he really wants to get back into the groove of things.
"He wants to get back to what he really loves aside from the businesses that we love and we should have an announcement in the coming weeks."


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co
Generator based control flow goodness for nodejs and the browser, using promises, letting you write non-blocking code in a nice-ish way.
Co v4
<EMAIL_ADDRESS>has been released, which now relies on promises.
It is a stepping stone towards ES7 async/await.
The primary API change is how co()
is invoked.
Before, co
returned a "thunk", which you then called with a callback and optional arguments.
Now, co()
returns a promise.
co(function* () {
var result = yield Promise.resolve(true);
return result;
}).then(function (value) {
console.log(value);
}, function (err) {
console.error(err.stack);
});
If you want to convert a co
-generator-function into a regular function that returns a promise,
you now use co.wrap(fn*)
.
var fn = co.wrap(function* (val) {
return yield Promise.resolve(val);
});
fn(true).then(function (val) {
});
Platform Compatibility
co@4+
requires a Promise
implementation.
For versions of node < 0.11
and for many older browsers,
you should/must include your own Promise
polyfill.
When using node 0.11.x or greater, you must use the --harmony-generators
flag or just --harmony
to get access to generators.
When using node 0.10.x and lower or browsers without generator support, you must use gnode and/or regenerator.
io.js is supported out of the box, you can use co
without flags or polyfills.
Installation
$ npm install co
Associated libraries
Any library that returns promises work well with co
.
- mz - wrap all of node's code libraries as promises.
View the wiki for more libraries.
Examples
var co = require('co');
co(function *(){
// yield any promise
var result = yield Promise.resolve(true);
}).catch(onerror);
co(function *(){
// resolve multiple promises in parallel
var a = Promise.resolve(1);
var b = Promise.resolve(2);
var c = Promise.resolve(3);
var res = yield [a, b, c];
console.log(res);
// => [1, 2, 3]
}).catch(onerror);
// errors can be try/catched
co(function *(){
try {
yield Promise.reject(new Error('boom'));
} catch (err) {
console.error(err.message); // "boom"
}
}).catch(onerror);
function onerror(err) {
// log any uncaught errors
// co will not throw any errors you do not handle!!!
// HANDLE ALL YOUR ERRORS!!!
console.error(err.stack);
}
Yieldables
The yieldable
objects currently supported are:
- promises
- thunks (functions)
- array (parallel execution)
- objects (parallel execution)
- generators (delegation)
- generator functions (delegation)
Nested yieldable
objects are supported, meaning you can nest
promises within objects within arrays, and so on!
Promises
Thunks
Thunks are functions that only have a single argument, a callback.
Thunk support only remains for backwards compatibility and may
be removed in future versions of co
.
Arrays
yield
ing an array will resolve all the yieldables
in parallel.
co(function* () {
var res = yield [
Promise.resolve(1),
Promise.resolve(2),
Promise.resolve(3),
];
console.log(res); // => [1, 2, 3]
}).catch(onerror);
Objects
Just like arrays, objects resolve all yieldable
s in parallel.
co(function* () {
var res = yield {
1: Promise.resolve(1),
2: Promise.resolve(2),
};
console.log(res); // => { 1: 1, 2: 2 }
}).catch(onerror);
Generators and Generator Functions
Any generator or generator function you can pass into co
can be yielded as well. This should generally be avoided
as we should be moving towards spec-compliant Promise
s instead.
API
co(fn*).then( val => )
Returns a promise that resolves a generator, generator function, or any function that returns a generator.
co(function* () {
return yield Promise.resolve(true);
}).then(function (val) {
console.log(val);
}, function (err) {
console.error(err.stack);
});
var fn = co.wrap(fn*)
Convert a generator into a regular function that returns a Promise
.
var fn = co.wrap(function* (val) {
return yield Promise.resolve(val);
});
fn(true).then(function (val) {
});
License
MIT


Stick to scene with data-scene="stick"
data-scene="stick"
Custom events via animationend
animationend
HTML5 AD Example


Ann Lovefully
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Designer, cat lover, bookworm, apple pie fanatic and nature enthusiast :)
Hungary
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Followers
Following


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We are planning a BLAS Technical Forum meeting on November 7-8. The meeting will be hosted Michael Heroux and the meeting will be held at Cray Research's facility in Eagan, MN:
The Forum has been established to consider expanding the Basic Linear Algebra Subprograms (BLAS) in a number of directions in the light of modern software, language, and hardware developments. The first meeting of the Forum was held in Nashville on February 19-20, 1996 and the next meeting was in Atlanta on May 20-21, 1996.
Working groups have been established to consider the overall functionality, a lightweight interface, and an object based interface, for the BLAS. Other subgroups have also been established, either to advise the current working groups or as placeholders for future working groups on parallel processing issues, sparse operations, data structures, extensions to the existing BLAS and language binding issues.
We strongly urge and encourage attendance at the meeting so that we can make tangible progress towards much needed standards. Wide input is needed to help ensure that emerging proposals are useful and acceptable to the community.
It is appreciated that it is not easy for everyone to attend the meetings of the Forum, but we would nevertheless welcome your input since we wish the discussion to be as open as possible, and the results to reflect consensus from the community at large. for the parallel and sequential settings, as well as standards for basic matrix data structures, both dense and sparse.
| Thursday November 7 | |
|---|---|
| Cray Research's facility in Eagan, MN | |
| 12:00 noon: | Lunch at Cray Research |
| 1:00 pm: | Registration |
| Introduction | |
| Functionality | |
| Lite | |
| Parallel | |
| Sparse | |
| Extensions to existing | |
| Language binding issues | |
| 6:00 pm: | Dinner |
| Friday November 8 | |
| Cray Research's facility in Eagan, MN | |
| 9:00 am: | Vendor comments and requirements |
| Applications comments and requirements | |
| Users comments and requirements | |
| 12:00 noon: | Lunch |
| Continued discussions | |
| Summary and Wrap-up | |
| 4:00 pm: | End of meeting |
If you would like to handout reports or documents during the workshop, please bring the material with you. We will not be able to reproduce large volumes of material.
We estimate an attendance of 40 persons at the maximum.
Here is a working note for the BLAS Functionality BLAS Functionality Proposal
We have reserved blocks of rooms for November 6 and 7 at the following hotels. Shuttle service to Cray Park is available from both hotels.
Rate is $79/night with the option to stay November 8 and 9 at the weekend rate of $129. Reservations must be made by October 21st.
Rate is $62/night with the option to stay November 8 and 9 at the same rate of $62. Reservations must be made by October 15th.
Map of Cray Research Park and surrounding area: Click here
Map of Airport and Directions to Cray Research Park: Click here
Attendees should park near the Software Training Building (see Cray Research Park map) and enter Building A.
Please let me know if you are planning to attend.
Discussion documents and the minutes of the Nashville and Atlanta meetings are available from the BLAST Forum homepage: past information. together with information from a preliminary workshop that was held in Knoxville in November, 95. There are also email discussion lists as follows:
For background information see: background
For a preliminary set of forum rules for discussion see: rules
Jack Dongarra, Sven Hammarling, and Michael Heroux


| Interface | Description |
|---|---|
| HabitTypeListener | |
| OnAddHabitEventListener |
This interface is a Listener for the addHabitEvent dialog, it is used so that when the user
presses the create or cancel button, the calling activity can be informed and take appropriate
action
|
| OnEditHabitEventListener |
This interface is a Listener for the editHabitEvent dialog, it is used so that when the user
presses the create or cancel button, the calling activity can be informed and take appropriate
action
|
| OnFollowRequestListener |
This interface is created so that upon occurence of a follow request appropriate aciton can be taken
|
| OnViewHabitListener |
This interface is created so that appropriate action can be taken when a habit is viewed
|
| Class | Description |
|---|---|
| AddHabitEventDialog |
This dialog facilitates the creation of habit events.
|
| AddHabitEventDialogInformationGetter |
This class is used to facilitate getting information from an addHabitEventDialog.
|
| AddHabitTypeDialog | |
| BuildConfig | |
| EditHabitEventDialog |
This dialog facilitates the editing of habit events.
|
| EditHabitTypeDialog | |
| FeedEvent |
This class creates events comprised of a user account and habit event, these events
are meant to be put into the social feed so that users can see habit events from their friends
|
| FollowRequestDialog | |
| FollowRequestTest | |
| FriendActivity | |
| FriendFilterFragment | |
| FriendHabitEventsFragment | |
| FriendMapFragment | |
| HabitEventEditListAdapter |
This allows a habit event to be displayed in a ListView.
|
| HabitEventListAdapter |
This allows a habit event to be displayed in a ListView.
|
| HabitEventTest | |
| HabitType |
This is the model for habit types.
|
| HabitTypeActivity |
This activity displays the information, statistics and habit events for a specific habit type
|
| HabitTypeActivity.HabitDetailsFragment |
The fragment that displays all of the details of the habit type (excluding stats).
|
| HabitTypeActivity.HabitStatsFragment |
The fragment that allows the user to see the habit type statistics.
|
| HabitTypeActivity.HabitTypeEventsFragment |
A fragment that allows the user to see their habit events.
|
| HabitTypeListAdapter |
This list adapter allows habit types to be displayed in a list view
|
| HabitTypeTest | |
| HistoryActivity | |
| HistoryFilterFragment | |
| HistoryMapFragment | |
| HomeActivity |
The main activity of the app, displays the users habit types that still need to be done
options to add types and events and shows their progress tree
|
| HomePrimaryFragment |
Shows a list of habit types that can be completed today, allows the user to navigate to
another activity using the drawer, allows the user to create a new habit event or habit type
using the FAB (to be implemented).
|
| HomeStatisticsFragment |
Shows the current progression of the user's tree as well as total nutrient level and the level needed for the next rank.
|
| ImageViewSquare |
ImageViewSquare class used for assisting in creating layouts
Created by Ian on 2017-11-06.
|
| InitActivity | |
| LocationHandler |
This handles the location of the user if you need to retrieve it
Created by Oliver on 10/11/2017.
|
| Manifest | |
| Manifest.permission | |
| MapsActivity | |
| MathUtility |
This class is used for smooth transition animations
Created by Ian on 2017-11-08.
|
| Navigation |
Navigation drawer that allows navigation around the application through a globally accessible drawer
Created by Ian on 2017-11-12.
|
| NavigationTest | |
| ProfileActivity |
This activity display the app users profile and their progress tree
|
| R | |
| R.anim | |
| R.animator | |
| R.array | |
| R.attr | |
| R.bool | |
| R.color | |
| R.dimen | |
| R.drawable | |
| R.id | |
| R.integer | |
| R.layout | |
| R.menu | |
| R.mipmap | |
| R.string | |
| R.style | |
| R.styleable | |
| R.xml | |
| ShowUserDialog |
Created by rarog on 12/4/17.
|
| SocialActivity |
This activity handles the social fragments
|
| SocialAddFriendAdapter |
Created by rarog on 12/4/17.
|
| SocialFeedAdapter |
This adapter takes FeedEvents and allows them to be displayed in a listView
|
| SocialFeedFragment |
This fragment shows the user their social feed
|
| SocialFollowerAdapter |
This adapter allows for the app users friend's profiles to be displayed
in a ListView
|
| SocialFollowerFragment |
This fragment show the user a list of their friends and allows them to find new friends
|
| SocialFollowingAdapter |
This adapter allows for the app users friend's profiles to be displayed
in a ListView
|
| SocialFollowingFragment |
This fragment show the user a list of their friends and allows them to find new friends
|
| SplashActivity |
This shows the splash screen of the app while data is being loaded
|
| StatisticsCalculator | |
| TreeGrowth |
Class that is responsible for tree growth to track nutrient level, the last rank up tier as well as the last sync date.
|
| UserAccount |
Class that tracks everything that has to do with the user
|
| UserAccount.syncTask |
Syncs all property data with Elastic Search
|
| UserProfile |
Class that tracks everything that has to do with the user profile.
|
| UserProfileTest | |
| ViewFeedEventActivity |
This activity shows the details of a particular feed event
|
| ViewFriendActivity |
This activity allows the user to see details about one of their friends
|
| ViewHabitDialog | |
| ViewHabitEventActivity |
This activity launches when a user wishes to see more information about a particular
habit event.
|
| ViewHabitTypesActivity |
This activity shows the user a list of all of their habit types
|
| ViewPagerFriendAdapter | |
| ViewPagerHistoryAdapter | |
| ViewPagerHomeAdapter | |
| ViewPagerSocialAdapter |
Created by Oliver on 03/12/2017.
|


Chasers A mini-game where reds chase greens, greens chase blues, and blues chase reds. Built with HTML canvas and JavaScript to make some interesting art. This program is open-source.


college-football-expected-points-model-fundamentals-part-i.Rmd
In this tutorial, we are going to get more familiar with the Expected Points portion of College Football Expected Points Added model.
We will be using these ideas as a tool for valuation of plays with the goal of contextualizing team and player performance relative to the average, given the situational factors at the start of the play.
Let’s dig in.
We will be acquiring data from CollegeFootballData.com, courtesy of @CFB_data, using cfbscrapR
, created by Saiem Gilani, Meyappan Subbaiah, and Parker Fleming.
This model generates probabilities for the possible types of next scoring events within the same half. The 7 scoring possibilities are:
For each play, the multinomial logistic regression model calculates what the probability () of each of those scoring outcomes is and the expected points can be calculated by multiplying each of the scoring event probabilities by their associated point values and summing the products, like so:
The model is fit using the following variables and interactions:
You might be asking at this point, “how are there 96 variables, if there are only 10 bullet points here?” (skip to the next section if you didn’t ask.) The answer is a little technical if answered completely, but to model this appropriately, one next score type is used as the reference target (we chose “No Score” as our reference) and the coefficients are fitted to the predictive variables for each of the remaining 6 target score types. This is why you see each factor comprising at least 6 variables.
The additional complexity is that down must be treated as a categorical factor, meaning 1st down is treated as the reference and there are then 6 variables for 2nd down, 6 variables for 3rd down, and 6 variables for 4th down. The same logic would then also apply to each of the down interactions. The Boolean indicators for goal-to-go and under two-minutes are also factors that give relative coefficients to the ‘False’ case, but since there only two cases, only 6 additional variables are created for each.
Observations are weighted by both score differential and difference in number of drives between play and the next score. The former weighting is intended to accomplish the goal of valuing plays where the score differential is higher less than possessions where the score differential is closer to zero.
Additionally, the latter model weighting places more emphasis on plays on drives that occur closer to the next scoring drive more than plays on prior drives. An example would be if a game begins with 6 scoreless drives to start before one team scores, the plays of the first drive would have a weight of 1/7*, the plays of the second drive a 2/7 weighting, with the plays of the first scoring drive (i.e. the 7th possession) having a full 7/7 weighting.
*Full disclosure: it would be 7 as the denominator if 6 scoreless drives was the largest distance between scoring drives for the entire season across all games (it could be 12 for the games across the entire season, in which case the values would have been 1/12, 2/12, …, 7/12.)
This way the model weighs all games with the same denominator and scales the weight of each scoring drive distance to a value between 0 and 1. This same caveat also applies for score differential. Score difference is scaled by largest score differential across all games in a given season. Both of the score differential and scoring drive distance weightings are combined to create a single scaled weighting for each play across each season.
Field goals and kickoffs are treated separately. The probability that a field goal is made is calculated using a general additive model using the (smoothed) distance of the kick as the predictor, calculated as the yard-line plus an additional 17 yards. Each field goal attempt’s expected points are weighted by the probability it is made (resulting in 3 expected points) and adjusted by the probability of a missed field goal (i.e. Pr(Missed FG) = 1 - Pr(Made FG)) and the resulting change in EPA due to changes in field position, down, etc. that would occur from the missed field goal.
Touch-backs are considered the standard expected outcome for kickoffs and anything returned past the 25 would be a points added situation and vice versa for those not returned to at least the 25. considered
PATs are not currently being treated separately, the extra point is treated as a given, which is less than ideal.
Punts are not treated separately, since their primary effect lies mostly in the change in field position. It is a situation the expected points model is well suited to predict on.
The model was trained on non-overtime data from 2014-2019 using leave-one-season-out cross-validation. This means the model holds one season for test data validation and uses the remaining seasons as the training set, then uses the trained model to make predictions on the season held out. This process is then iterated for each season in the data.
This is the plot of expected points in relation to field position alone, grouped in 10 yard bins and labeled on the plot with the mean expected points for the bin. The point at the bottom left is roughly the expected points from having the ball at the offense’s own 1-yard line, -1.28 expected points. The observed mean expected value for receiving the ball from the offense’s own 21-30-yard line (or 70 to 79 yards from opponent’s end-zone) is 0.29 expected points.
It should be no surprise that as offenses move closer to their opponent’s goal line, the expected points trend upward for the offense. Notice for the point representing the 30-39-yard line grouping, the expected points is right around the value of a field goal. This aligns with one of the common definitions of a scoring opportunity, giving support to the appropriateness of the definition.
The observed average expected points in the red-zone are 4.05 in the 10-19-yard line bin and 5.17 inside the 10, with plays at the 1-yard line averaging 6.06 expected points. Note: There are some plays that were input as yard 0 that I interpreted as an “& inches” situation. There are 66 such plays (compared to 5.3k plays at the 1-yard line) and their observed mean expected points is 4.62.
Recall that down and down interactions were three of the predictors in the model, so here is the field position view of expected points separated by down. The plot below demonstrates that your expected points are higher (on average) on 1st down than 2nd, and 2nd down than 3rd, etc at every point on the field, except possibly near the offense’s own goal line where there is risk of giving up a safety.
This graph should be somewhat intuitive, but to understand what the relative expected points difference for each down at the same field position, we are interested in the vertical distance between each of the lines.
Noting that, we see that difference between 1st and 2nd down is steady across most of the field from left to right, starting wider near the offense’s own goal line and narrowing as the offense progresses toward the opponent’s end-zone.
Examining the difference between the 2nd and 3rd down lines, the distance is much wider, doubling the relative difference between 1st and 2nd for most portions of the middle 60 yards of the field.
Further yet is the 4th down line, which has an interesting track, narrowing closest to the other down lines around the 25 yard line.
Perhaps we should examine the next score probabilities underlying each of these down lines to see what drives these relative differences. More on that in Part 2, coming your way next.


2
1 Therefore, do not act maliciously in any way or deceive others. Do not be hypocrites, and do not envy others. Do not ever speak evil about anyone untruthfully.
2 Just as newborn babies long for their mothers' pure milk, you should desire to learn true things from God, so that by learning it you may become like adults in trusting him. You must do this until the time when God sets you completely free from all the evil in this world.
3 Also, you must do this because you have experienced that the Lord acts very kindly toward you.
4 Come to the Lord Jesus. He is like the most important stone in the foundation of a building, but he is living, not lifeless like a stone. Many people rejected him, but God chose him and considers him to be very valuable.
5 And like men build houses with stones, God is joining you together like a building in which his Spirit lives. He is doing this in order that you—like the priests who offer sacrifices at the altar, might do things that please God because Jesus Christ has died for you.
6 What the Scriptures say show us that this is true: "I am placing in Jerusalem someone who is like a very valuable stone, the most important stone in the building, and those who believe in him will never become ashamed."
7 Therefore, God will honor you who believe in Jesus. But those who refuse to believe in him are like the builders that the Scriptures talk about: "The stone that the builders rejected has become the most important stone in the building."
8 It is also written in the Scriptures:
"He will be like a stone that causes people to stumble,
and like a rock that people trip over.
Just as people are injured when they stumble over a rock,
people who disobey God's message injure themselves;
that is what God determined would happen to them."
9 But you are people whom God has chosen to belong to him.  You are a people group that belongs to God, so that you might proclaim the wonderful things he has done. He has called you from your former ways, when you were ignorant of his truth, and he has made you understand the marvelous true things about him.
10 What the Scriptures say is true about you:
"Formerly, you were no people group at all,
But now you are God's people group.
At one time God had not acted mercifully toward you,
But now he has acted mercifully toward you."
11 You people whom I love, I urge you to think about this: you are like foreigners whose real home is in heaven. So you should not do the sinful things you used to want to do, because if you do them, you will not be able to live well with God.
12 Keep behaving in a good way among those who do not know God. If you do that, although they may say that you do what is evil, they will see that you are doing things, and at the time when God comes to judge everyone, they will honor him.
13 Because you wish to honor the Lord Jesus, obey everyone who has proper authority. This includes the king, who has the greatest power,
14 and governors, whom he sends to punish those who do what is wrong and to praise those who do what is right.
15 What God wants is for you to do good. If you do that, you will cause foolish people who do not know God to be unable to say that you have done wrong.
16 Behave as though you were free from having to obey any master, but do not think that you can do evil because of that. Instead, behave as servants of God should.
17 Act respectfully toward everyone. Love all your fellow believers. Honor God, and honor the king.
18 You slaves who are believers, submit yourselves to your masters and completely respect them. Submit yourselves not only to those who act in a good and kind way toward you, but also submit yourselves to those who act in a harsh way toward you.
19 You should do that because God is pleased with those who, knowing that he is aware of what is happening to them, endure the pain that they suffer because their masters have treated them unjustly.
20 God will certainly not be pleased with you if you do something that is wrong and then they beat you for that. But if you do what is good and still suffer harm, you are suffering for doing what is good. If you endure that, God will praise you.
21 One of the reasons why God chose you is that you might suffer. When Christ suffered for you he became an example for you, in order that you would imitate what he did.
22 Remember how Christ conducted himself,
He never sinned,
And he never said anything to deceive people.
23 When people insulted him, he did not insult them in return.
When people caused him to suffer, he did not threaten to get revenge.
Instead, he decided to let God, who always judges justly, prove that he was innocent.
24 He himself endured the punishment for our sins in his body when he died on the cross, in order that we would stop sinning and start living rightly.


Get the did document authentication sections
Set the did document authentication sections
Get the @context
section of the JSON-ld document
Set the @context
section of the JSON-ld document
Get the creation date of the did document
Set the creation date of the did document
Get the did associated with the did document
Set the did associated with the did document
Get the EcdsaLinkedDataSignature member of the did document instance
Set the EcdsaLinkedDataSignature member of the did document instance
Get the did document public key sections
Set the did document public key sections
Get the did document service endpoint sections
Set the did document service endpoint sections
Get the hex encoded did document signature
Set the hex encoded did document signature
Get aggregated metadata related to the signing public key
Adds a new {@link AuthenticationSection} to the did document instance
Configured {@link AuthenticationSection} instance
Adds a new {@link PublicKeySection} to the did document instance
Configured {@link PublicKeySection} instance
Adds a new {@link ServiceEndpointsSection} to the did document instance
Returns the sha256 hash of the did document, per specification.
Converts the did document to canonical form
Clears all {@link ServiceEndpointSection} members from the instance, usefull when removing all public profile data
Serializes the DidDocument as JSON-LD
Instantiates a DidDocument from it's JSON form
Verifiable Credential in JSON-LD form
Instantiates a barebones DidDocument class based on a public key
A secp256k1 public key that will be listed in the did document
Generated using TypeDoc
Class modelling a Did Document
specification


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USD/INR Technical Analysis: Bearish MACD, 1-week-old falling trendline keep sellers hopeful
by Anil Panchal- USD/INR holds on to recovery gains from 50-bar SMA.
- Short-term resistance line, bearish MACD increase odds for another pullback.
- 200-bar SMA, 61.8% Fibonacci retracement provide key support.
While taking rounds to 71.86 during early Asian morning on Wednesday, USD/INR stays below the immediate resistance line amid a bearish signal from MACD.
As a result, sellers can expect another drop to 50-bar Simple Moving Average (SMA) level of 71.72 ahead of dragging the quote to 50% Fibonacci retracement of the current month upside, around 71.40.
However, a confluence of 200-bar SMA and 61.8% Fibonacci retracement near 71.21/18 could restrict pair’s declines below 71.40, if not then November 07 low close to 70.87 and the monthly bottom surrounding 70.50 could be sellers’ favorites.
Should buyers ignore bearish signals from 12-bar Moving Average Convergence and Divergence (MACD), they need to cross immediate resistance line, at 72.13, in order to challenge the monthly top around 72.40.
If at all prices stay strong beyond 72.40, September month high near 72.65 and December 2018 high of 72.82 will be in the spotlight.
USD/INR 4-hour chart
Trend: Pullback expected
additional important levels
| Overview | |
|---|---|
| Today last price | 71.86 |
| Today Daily Change | -0.0856 |
| Today Daily Change % | -0.12% |
| Today daily open | 71.9456 |
| Trends | |
|---|---|
| Daily SMA20 | 71.1874 |
| Daily SMA50 | 71.1578 |
| Daily SMA100 | 70.6892 |
| Daily SMA200 | 70.2067 |
| Levels | |
|---|---|
| Previous Daily High | 71.958 |
| Previous Daily Low | 71.5715 |
| Previous Weekly High | 72.37 |
| Previous Weekly Low | 70.97 |
| Previous Monthly High | 71.79 |
| Previous Monthly Low | 70.6425 |
| Daily Fibonacci 38.2% | 71.8104 |
| Daily Fibonacci 61.8% | 71.7192 |
| Daily Pivot Point S1 | 71.692 |
| Daily Pivot Point S2 | 71.4385 |
| Daily Pivot Point S3 | 71.3055 |
| Daily Pivot Point R1 | 72.0786 |
| Daily Pivot Point R2 | 72.2116 |
| Daily Pivot Point R3 | 72.4651 |


UI (React) Unit Testing
What should we test in our React components
A proposal by Mihail Gaberov
Render Logic
Tests should test only the render logic, i.e. test what the user will be seeing and interacting with, without caring about the internal implementation.
No lifecycle methods - dīvide et imperā
Tests should not test lifecycle methods, they are supposed to be covered by React itself. If we have some logic that needs to be tested in such methods, we should try to extract it in another testable place and only use it in there.
No outsiders
Tests should not test interaction with outside world - API, DB, etc.
Small, smaller, easier
Tests should be small and easy to read - if we need to test big component with a lot of dependencies we need to consider splitting it to smaller testable pieces.
If we need to use big mocks, we need to extract them out of the test and only use them by importing, in order to avoid polluting the test file.
Example
- Given a simple component containing a button and a text field
- We should test what the user sees - rendering, and what the user can do - user interaction
- If there is visual change after clicking - test for it
- If there is a value returned after clicking - test for it
But we don't care about the internal implementation of the click handler!


import unittest from pygame.tests.test_utils import fixture_path import pygame class CursorsModuleTest(unittest.TestCase): def todo_test_compile(self): # __doc__ (as of 2008-06-25) for pygame.cursors.compile: # pygame.cursors.compile(strings, black, white,xor) -> data, mask # compile cursor strings into cursor data # # This takes a set of strings with equal length and computes # the binary data for that cursor. The string widths must be # divisible by 8. # # The black and white arguments are single letter strings that # tells which characters will represent black pixels, and which # characters represent white pixels. All other characters are # considered clear. # # This returns a tuple containing the cursor data and cursor mask # data. Both these arguments are used when setting a cursor with # pygame.mouse.set_cursor(). self.fail() def test_load_xbm(self): # __doc__ (as of 2008-06-25) for pygame.cursors.load_xbm: # pygame.cursors.load_xbm(cursorfile, maskfile) -> cursor_args # reads a pair of XBM files into set_cursor arguments # # Arguments can either be filenames or filelike objects # with the readlines method. Not largely tested, but # should work with typical XBM files. # Test that load_xbm will take filenames as arguments cursorfile = fixture_path(r"xbm_cursors/white_sizing.xbm") maskfile = fixture_path(r"xbm_cursors/white_sizing_mask.xbm") cursor = pygame.cursors.load_xbm(cursorfile, maskfile) # Test that load_xbm will take file objects as arguments with open(cursorfile) as cursor_f, open(maskfile) as mask_f: cursor = pygame.cursors.load_xbm(cursor_f, mask_f) # Is it in a format that mouse.set_cursor won't blow up on? pygame.display.init() try: pygame.mouse.set_cursor(*cursor) except pygame.error as e: if 'not currently supported' in str(e): unittest.skip('skipping test as set_cursor() is not supported') finally: pygame.display.quit() ################################################################################ if __name__ == '__main__': unittest.main() ################################################################################


Programming by Michał Pawłowski. Idea for this app by Stockholm syndrome. Cover template for Bootstrap, by @mdo.


Magister Martika:
Well met, friend. May the coming darkness be your cloak and shield... I am Magister Martika. Age and gender matter little to a true student of the Dark Arts. Now then, what do you seek?
Learn skills.
Ask about Skill Transfer.
Ask about Skill Enchanting.
Quest


Let us continue our learning of generative classification methods. Recall that generative classification method aims to:
- Estimate joint probability $P(Y,X)$, and then use it to calculate $P(Y|X) = \frac{P(Y,X)}{\sum_i P(X|Y_i)P(Y_i)} = \frac{P(X|Y)P(Y)}{\sum_i P(X|Y_i)P(Y_i)}$
- Estimates not only probability of labels but also the features ($P(X|Y)$)
- Once model is fit, can be used to generate data
Last time, we talked about Naive Bayes Classifier, which gives us some basic understandings of Bayes classifier and generative model. Then This time let us talk about LDA and QDA.
1. Linear Discriminant Analysis (LDA)
1.1 Introduction
LDA assumes the class-conditional densities $P(X|Y=k)$ or $f_k(x)$ are Gaussian with a common covariance matrix so that:
$$P(X|Y=k) = f_k(x) = \frac{1}{(2\pi)^{(p/2)}|\Sigma|^{1/2}} e^{\frac{1}{2}(x-\mu_k)^T\Sigma^{-1}(x-\mu_k)}$$
And still $P(Y=k) = \pi_k= \frac{\# \ of \ observations \ in \ class\ k}{\# \ of\ observations}$
1.2 Parameter Estimation
Then we need to estimate the parameters of $f_k(x)$, we still use MLE here. I will ignore the mathmatical proof here since it basically is the MLE of multivariate normal distribution. Here is the results:
$$\hat \mu_k = \frac{1}{N_k}\sum_{i;Y=k}x_i$$
$$\hat \Sigma = \frac{1}{N-K}\sum_{k=1}^{K}\sum_{i;Y=k}(x_i-\hat \mu_k)(x_i-\hat \mu_k)^T$$
Here the estimated $\hat \Sigma$ is the unbiased estimation, and $N-K$ is the degree of freedom of this variable (Which we have talked during my inference's review).
1.3 Decision Boundary
After performing the first two steps, we could successfully calcualte $P(Y=k|X= x)$, then we can write the decision function as:
$$f(x) = \arg \max_k P(Y = k| X= x) = \arg \max_k \pi_k f_k(x)$$
so the corresponding decision boundaries are:
$$x: \pi_k f_k(x) = \pi_l f_l(x) \ \ k\neq l$$
then based on our estimation, we could simplify the above equation to: (I ignore the middle steps that contain absorbing everything that does not depend on k into a constant and take a logarithm)
$$log\pi_k - \frac{1}{2}\mu_k^{T}\Sigma^{-1}\mu_k + x^T\Sigma \mu_k=log\pi_l - \frac{1}{2}\mu_l^{T}\Sigma^{-1}\mu_l + x^T\Sigma \mu_l$$
And it is obvious that it is a linear equation in $x$. So LDA as its literal meaning is a linear classification method.
2. Quadratic Discriminant Analysis (QDA)
We know for LDA, the assumption that the inputs of every class have the same covariance $\Sigma$ can be quite restrictive; so in QDA, we allow each class has its own covariance matrix $\Sigma_k$
Then this time, we need to estimate the $\Sigma$ in every class, which is:
$$\hat \Sigma_k = \frac{1}{N-1}\sum_{i;Y=k}(x_i-\hat \mu_k)(x_i-\hat \mu_k)^T$$
And also our decision boundary will change since this time some terms related to $\Sigma$ cannot be neutralized. When we look back to our decision boundary, we get:
$$x: \pi_k f_k(x) = \pi_l f_l(x) \ \ k\neq l$$
$$log\pi_k - \frac{1}{2}\mu_k^{T}\Sigma_k^{-1}\mu_k + x^T\Sigma_k \mu_k-\frac{1}{2}x^T\Sigma_k^{-1}x - \frac{1}{2}log|\Sigma_k|= \\ log\pi_l - \frac{1}{2}\mu_l^{T}\Sigma_l^{-1}\mu_l + x^T\Sigma_l \mu_l-\frac{1}{2}x^T\Sigma_l^{-1}x - \frac{1}{2}log|\Sigma_l|$$
And it is obvious that the objective is now quadratic in $x$ and so are the decision boundaries.
3. KNN
3.1 Overview
After talking about using generative and discriminative classification method to approximate Bayes classifier. We then introduce a non-parametric method, called KNN.
KNN follows a very simple idea: Given a positive integer K and a test observation $x_0$, KNN identifies K points that are closest to $x_0$, represented by $N_0$ and then estimates the conditional probability that:
$$p(Y=j|X=x_0)=\frac{1}{K}\sum_{i \in N_0}I(y_i = j)$$
There is no doubt that $K$ has a drastic effect on KNN, actually, it controls the bias-variance trade-off of this model.
3.2 Model Implementation
Then let me construct KNN model from scratch. As normal, I will compare my result with sklearn.neighbors.KNeighborsClassifier
in the end. Here is the plot of my model:
Here is the link of Jupyter Notebook For KNN.
4. Summary
Now I finish the review of generative classification methods. We could easily see the difference between these three models:
- LDA and QDA assume Gaussian density for $P(X|Y)$, but LDA needs the covariance for each class to be the same, and QDA does not.
- Naive Bayes assumes $P(X|Y) = \prod_j P(X_j|Y)$, which means each feature is conditional independent with other features under class y.
- KNN use distance-based learning to directly model $P(Y|X)$, it is effective to non-linear and complicated dataset but the computation is very costly.
Even though these four methods look simple, they do widely use in different fields. For example, Naive Bayes often works well when the data cannot support a more complex classifier such as text data classification and sentiment analysis.


HTML forms are used to collect user input. HTML forms can contain input elements like text fields, checkboxes, radio-buttons, submit buttons and more.
Forms' syntax uses the form
tag to create an HTML form, then
input
element is used to select user information,type
attribute to specify the type of data, andname
attribute stores the user-entered dataA simple example of an input text field would be:
<form>
User name: <input type="text" name="userName">

Artist name: <input type="text" name="artistName">
 </form>
A form can contain different types of elements (e.g., text, password fields, radio buttons, check buttons, ...)
<form> User name: <input type="text" name="name"> <input type="radio" name="sex" value="male">Male <input type="radio" name="sex" value="female">Female
Password: <input type="password" name="pwd">
Artist name: <input type="text" name="artist">
 <input type="checkbox" name="retrieve" value="discography">Retrieve album names
 <input type="checkbox" name="retrieve" value="members">Retrieve member names </form>
HTML forms and input link in W3 Schoold
We usually want to use the data a user entered into a form. In order to accomplish this, we create a form and attach it to the DOM by means of assigning and ID to the form
element:
<form id="userdata"> User name: <input type="text" name="userName"> <input type="radio" name="sex" value="male"> Male <input type="radio" name="sex" value="female"> Female
 Password: <input type="password" name="pwd">
 Artist name: <input type="text" name="artistName">
 <input type="checkbox" name="retrieve" value="discography">Retrieve album names
 <input type="checkbox" name="retrieve" value="members">Retrieve member names
 </form>
Then, we can access the data within the form. For example, we can add a button that, when clicked, calls a function:
<input type="button" onclick="queryData()" value="Retrieve">
Once the function is called, we can retrieve the data from the form that is attached to the DOM:
function queryData() { var x = document.getElementById("userdata"); userName = x.elements["userName"].value; artistName = x.elements["artistName"].value; }
Then, we finally can do something with that data. For example, we use the values entered by the user for userName
and artistName
for creating a request to another server, or we attach these values to the DOM and display them in the page.
Create a form for asking the name of a user and the name of an artist for which the user is interested about, or for which is looking for information.
When the user press a button, the name of the user and artist should be printed on the screen.
Steps


Guidelines and rules for drivers
The following are guidelines and rules for writing areaDetector drivers
- Drivers will generally implement one or more of the writeInt32(),
writeFloat64() or writeOctet() functions if they need to act
immediately on a new value of a parameter. For many parameters it is
normally sufficient to simply have them written to the parameter
library, and not to handle them in the writeXXX() functions. The
parameters are then retrieved from the parameter library with the
getIntParam(), getDoubleParam(), or getStringParam() function calls
when they are needed.
- If the writeInt32(), writeFloat64() or writeOctet() functions are
implemented they must call the base class function for parameters
that they do not handle and whose parameter index value is less than
the first parameter of this class, i.e. parameters that belong to a
base class.
- Drivers will need to call the createParam() function in their
constructor if they have additional parameters beyond those in the
asynPortDriver or ADDriver base classes.
- Drivers will generally need to create a new thread in which they run
the acquisition task. Some vendor libraries create such a thread
themselves, and then the driver must just implement a callback
function that runs in that thread (the Prosilica is an example of
such a driver).
- The acquisition thread will typically monitor the acquisition process
and perform periodic status update callbacks. The details of how to
implement this will vary depending on the specifics of the vendor
API. There are many existing detector drivers that can be used as
examples of how to write a new driver.
- If the detector hardware does not support fixed-period acquisition or
muliple-image acquisition sequence (ADNumImages parameter) then these
should be emulated in the driver. The simDetector, marCCD and other
drivers can be used as examples of how to do this.
- If NDArrayCallbacks is non-zero then drivers should do the following:
- Call asynNDArrayDriver::getAttributes to attach any attributes
defined for this driver to the current array.
- Call doCallbacksGenericPointer() so that registered clients can
get the values of the new arrays. Drivers must release their mutex
by calling this->unlock() before they call
doCallbacksGenericPointer(), or a deadlock can occur if the plugin
makes a call to one of the driver functions.


You’re Welcome: We Figured Out Which Astrology Apps Your Phone Needs RTFN
Warning: If your phone doesn’t have at least one astro app, you risk being unprepared for the next big ~event~ in the universe. (Mercury Retrograde is legit always coming for you. Don’t say we didn’t warn you.) We narrowed down the options to help you figure out which downloads belong on your home screen.


Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder.
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Lorem lean startup ipsum product market fit customer development acquihire technical cofounder.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder.
Lorem ipsum dolor sit amet consectetur adipisicing elit.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement. sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement. sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement. sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement. sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Lorem ipsum dolor sit amet consectetur adipisicing elit.
From $10 per month
From $99 per month
From $150 per month
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Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement A/B testing shrink a market venture capital pitch deck. Social bookmarking group buying crowded market pivot onboarding.
Abz Network
Lorem lean startup ipsum product market fit customer development acquihire technical cofounder. User engagement A/B testing shrink a market venture capital pitch deck. Social bookmarking group buying crowded market pivot onboarding.
Abz Network
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Abz Network
Lorem ipsum dolor sit amet consectetur adipisicing elit.


Loader¶
-
class
package.loader.
BaseDataLoader
(dataset, queue, batch_size, thread_id)[source]¶ Base Data Loader
Parameters: - dataset (package.dataset.BaseDataset) – object of BaseDataset
- queue (Queue.queue) – queue for threading
- batch_size (int) – size of batch
- thread_id (int) – identification of thread
-
run
()[source]¶ Method representing the thread’s activity.
You may override this method in a subclass. The standard run() method invokes the callable object passed to the object’s constructor as the target argument, if any, with sequential and keyword arguments taken from the args and kwargs arguments, respectively.
-
class
package.loader.
MultiLoader
(dataset_list, queue, batch_size, worker_num)[source]¶ Multi Data Loader using Threads.
Parameters:
-
package.loader.
load_data_list
(data_list_path, dataset_path)[source]¶ Provides set of audio path & label path
Parameters: - Returns: audio_paths, label_paths
- audio_paths (list): set of audio path
- label_paths (list): set of label path
-
package.loader.
load_label
(label_path, encoding='utf-8')[source]¶ Provides char2id, id2char
Parameters: - Returns: char2id, id2char
- char2id (dict): char2id[ch] = id
- id2char (dict): id2char[id] = ch


how to fix 'who -r' shows nothing
OS: Solaris 9.
Issue: who -r won’t give you the running level. so the pkgadd won’t work.
myhost1:~ root # who -r # shows no output
Solution:
check the /var/adm/utmpx, maybe the file has been corrupted
myhost1:~ root # cd /var/adm
myhost1:adm root # vi u1.log
# paste the following content.
system boot 0 2 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:03:34 2011
run-level 3 0 1 0063 0123<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:03:59 2011
rc2 s2 1262 8 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:04:45 2011
rc3 s3 3938 8 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:05:15 2011
myhost1:adm root # cat u1.log
system boot 0 2 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:03:34 2011
run-level 3 0 1 0063 0123<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:03:59 2011
rc2 s2 1262 8 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:04:45 2011
rc3 s3 3938 8 0000 0000<PHONE_NUMBER> 0 0 0 Tue Sep 6 20:05:15 2011
myhost1:adm root # /usr/lib/acct/fwtmp -ic < u1.log > /var/adm/utmpx
myhost1:adm root # who -r
. run-level 3 Sep 6 20:03 3 0 S
If paste to the u1.log won’t work properly. you can find another normal server. run
/usr/sbin/acct/fwtmp < /var/adm/utmpx > u1.log
and scp to the broken host.
Details on wtmpx.
fwtmp manipulates connect-time accounting records by reading binary records in wtmp format from standard input, converting them to formatted ASCII records. The ASCII version is useful when it is necessary to edit bad records.
# fwtmp [-ic]
where :
-ic : denotes that input is in ASCII form, and output is to be written in binary form.
Example to convert a binary record in wtmp format to an ASCII record called dummy.file, enter:
#fwtmp < /var/adm/wtmp > dummy.file
Example to convert an ASCII dummy.file to a binary file in wtmp format called /var/adm/wtmp, enter the fwtmp command with the -ic switch:
#fwtmp -ic < ascii.file > /var/adm/wtmp
Note: Depending on your flavour of Unix, the file may be called wtmpx or wtmp.
fwtmp also can be used to modify utmpx or utmp.


{{#if customer.customerName}}
Forgot Password Click to Reset
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Ray Rawlings
Ray Rawlings is a student athlete and an enthusiast of fitness.
He is also a student who wants to know how to learn and be a student of life.
Work experience
- Played at KCB lions
- Played at Emyba Basketball team
- Worked at Remotask Online for annotations.
Hobbies
- Playing Basketball
- Reading Novels
- Coding


| Created: | 4/29/2013 12:00:00 AM |
| Modified: | 4/30/2013 4:12:55 PM |
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| Element | Source Role | Target Role |
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«ABIE» Allowance Charge Class |
Name: |
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A discount or charge that applies to a price component.
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«ABIE» Billing Reference Class |
Name: |
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A reference to a billing document associated with this document.
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«ABIE» Customer Party Class |
Name: |
Name: Accounting Customer Party |
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The accounting customer party.
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«ABIE» Delivery Class |
Name: |
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A delivery associated with this document.
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«ABIE» Invoice Line Class |
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A line describing an Invoice Item.
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«ABIE» Customer Party Class |
Name: |
Name: Buyer Customer Party |
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The buyer.
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«ABIE» Delivery Terms Class |
Name: |
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A set of delivery terms associated with this document.
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«ABIE» Document Reference Class |
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Name: Despatch Document Reference |
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A reference to a Despatch Advice associated with this document.
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«ABIE» Document Reference Class |
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Name: Statement Document Reference |
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A reference to a Statement associated with this document.
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«ABIE» Document Reference Class |
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Name: Receipt Document Reference |
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A reference to a Receipt Advice associated with this document.
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«ABIE» Document Reference Class |
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Name: Originator Document Reference |
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A reference to an originator document associated with this document.
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Name: Additional Document Reference |
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A reference to an additional document associated with this document.
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«ABIE» Document Reference Class |
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Name: Contract Document Reference |
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A reference to a contract associated with this document.
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«ABIE» Exchange Rate Class |
Name: |
Name: Tax Exchange Rate |
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The exchange rate between the document currency and the tax currency.
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Name: |
Name: Pricing Exchange Rate |
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The exchange rate between the document currency and the pricing currency.
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Name: Payment Exchange Rate |
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The exchange rate between the document currency and the payment currency.
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Name: Payment Alternative Exchange Rate |
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The exchange rate between the document currency and the payment alternative currency.
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Name: Invoice Period |
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A period to which the Self Billed Invoice applies.
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«ABIE» Monetary Total Class |
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Name: Legal Monetary Total |
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A set of totals associated with this Invoice that are required for the Invoice to be a legal document.
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«ABIE» Order Reference Class |
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A reference to the Order with which this Invoice is associated.
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«ABIE» Party Class |
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Name: Payee Party |
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The payee.
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Name: Tax Representative Party |
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The tax representative.
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A prepaid payment.
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Expected means of payment.
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«ABIE» Payment Terms Class |
Name: |
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A set of payment terms associated with this document.
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«ABIE» Supplier Party Class |
Name: |
Name: Seller Supplier Party |
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The seller.
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Name: Accounting Supplier Party |
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The accounting supplier party.
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«ABIE» Signature Class |
Name: |
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A signature applied to this document.
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«ABIE» Tax Total Class |
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The total amount of a specific type of tax.
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The Dinner Game (PG-13) *** 1/2 Starring Jacques Villeret, Thierry Lhermitte Directed by Francis Veber A Review by Frankie Paiva
If there has been a better comedy of errors this year than I'd reccomend it be shown with this delightful French import from the director of La Cage aux Folles. It could be a laugh all day film festival, because that's exactly what this movie is. What seems like the French "Bean" turns out to be an even more hilarious romp. This movie will have you laughing for days after, and I'm glad I'm able to share this review with you.
A man is on a train with Francois Pignon (Villeret) when he begins to pull out pictures of different things he has built out of matches. Guess how many matches it took? He asks, 364,422!   Tonight it's his turn, and before now, he was idiotless. Plus, this guy is in a class of his own.
 Then his wife Christine (Alexandra Vandernoot) decides to leave him for his cruelty for others. He thinks he's gone to the man he stole her from, then decides she's at a local love club. But in order get the phone number there they have to call a tax auditor.  A complex plot is soon laid out in the household.
Another film from Veber that is full to the brim with original comic ideas. Name one comedy that takes happens in one place, in a foreign language, and that is incredibly funny. One of the best parts about The Dinner Game (besides that cool looking animation that showcases the titles and credits for the film) is the fact that while it's called The Dinner Game, there is no dinner or no game at all. The film's comedy owes almost everything to Villeret, he's someone you can just look at and laugh. When the film is remade in the US (with Robin Williams as the idiot) it will probably lose all of the charm and the wit that is featured here. The supporting cast is good, but it's obvious who's in the center of attention. So, go see The Dinner Game while you can, this funny, original, and interesting French comedy gets *** 1/2 stars.
A Review by Frankie Paiva The 12 Year-Old Movie Reviewer E-Mail me at<EMAIL_ADDRESS>The review above was posted to the
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panthrMath
basicFunc
C
distributions
beta
binomial
finite
gamma
normal
poisson
t
uniform
Polynomial
Rational
rgen
Author(s): unknown


Humanize your data and your data visualization.
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--- layout: page weight: 0 title: Create and Manage Recipients navigation: show: true --- {% anchor h2 %} Create Recipients {% endanchor %} {% anchor h3 %} Step 1 — Create New List {% endanchor %}
You will need to decide on a name for the list in order to identify it later. To create the list, click on "Continue".
{% anchor h3 %} Step 2 — Add Recipients {% endanchor %}Here you will add recipients to your list. You can choose one of three following methods:
Only CSV files are accepted at this time. A standard file chooser will allow you to select a file on your local machine. After you upload your file, the system will parse it, auto-detect column headers, and display a sample (5 rows) of your list. You can position the "Email" and "Name" columns (required) by dragging and dropping over the suitable column(s). You can also add other columns to the list if needed. You can keep extra columns by simply defining a new column as desired. Any columns with undefined_tag in the column head, will be discarded. An example CSV file might look as follows:
{% codeblock %} name,email "SG<EMAIL_ADDRESS>"Sales<EMAIL_ADDRESS>{% endcodeblock %}Sendgrid supports Unicode (UTF-8), ASCII, and extended ASCII characters. When importing your list into Sendgrid, make sure that the characters are all encoded as UTF-8 in order to prevent syntax errors from occurring.
Manual additions can be done following the same guidelines as the "Upload List" above. You need to fill the "Name" and "Email" columns and define extra columns manually if necessary. You can also click "Add Rows" and "Add Columns" in order to expand your manually generated list as needed. Click "Save" to save the recipients.
You can also retrieve your list from an external URL where a CSV file is hosted. You must specify the URL, and then import the list into the marketing email wizard following the same column-based rules described above. {% info %} You must include a connection protocol in the URL i.e. http:// or ftp:// {% endinfo %} {% info %} Note: you need to click the "Check" link to see the preview of the list and re-arrange columns {% endinfo %} {% anchor h3 %} Step 3 — Verify New List {% endanchor %}
Here you can see email addresses uploaded from the previous step and you can batch-delete the ones you don't need. Verify - will just save the list and redirect to My Recipient Lists.
{% anchor h2 %} Manage Recipients {% endanchor %} {% anchor h3 %} Overview {% endanchor %}Here you can see your previously created recipient lists with the following information:
You can filter the recipient lists by name, using the search form at the top of the page.
{% anchor h3 %} Update List {% endanchor %} This lets you update your list by adding bulk contacts (using the same steps as creating a new list). {% anchor h3 %} Batch Actions {% endanchor %}The available batch actions for a list are:
In order to facilitate these operations, you may search certain emails by using the Search field.
The exact steps to follow in order to take the Copy / Move actions are:
The exact steps to follow in order to take the Delete actions are:
This page shows you delivery stats for this list, by default, this displays stats for all marketing email sent to this list. You can view, print, or download this information to excel. You can also select subsets of stats for this list, i.e. stats for just one marketing emailsent to this list.
{% anchor h3 %} Download to Excel {% endanchor %}Allows you to export the stats into an XLS file which you can save locally.
{% anchor h3 %} Print View {% endanchor %}Displays the marketing email graph and tabular analytics in a convenient printable format.
Export
Allows you to export email addresses from the list based on type. This can be the entire list or a subset of the list. Types include:
In this page you may see various types of recipients:
The default category is "Unsubscribe". In order to view other unsubscribe categories you can use the drop down menu to select other categories.
You can take the following actions depending on which category you want to make changes to:
On the "Manage Recipients Lists" page, you can click on the "Subscription Widget" link under a certain list. This will open a pop-up where you will have to input the domain where the widget will be used. The domain is mandatory because it will be used to validate the request for adding the recipient into the SendGrid database. Once the domain is filled in, you can click on Generate Widget Code button.
{% anchor h3 %} Use the embedded code {% endanchor %}Once the embed code is generated, you may use it on your website. By default the widget displays all fields used by the newsletter at the time of generation, you may modify that, by changing the HTML provided. The widget has a robust API that allows for advanced configuration and styling. The most current documentation for this widget may be found in its repository on Github.


I am a PhD Student at the University of Colorado-Boulder in the Department of Computer Science. My passion is in virtual and augmented reality work, specifically seeking to enable and create useful applications with augmented reality.
I graduated from the University of Alabama in 2016 with a BS in Computer Science and a Minor in Mathematics. I joined the University of Colorado's VisuaLab, advised by Dr. Danielle Szafir in Fall 2016.
I am a PhD Student at the University of Colorado-Boulder in the Department of Computer Science. My passion is in virtual and augmented reality work, specifically seeking to enable and create useful applications with augmented reality.
I graduated from the University of Alabama in 2016 with a BS in Computer Science and a Minor in Mathematics. I joined the University of Colorado's VisuaLab, advised by Dr. Danielle Szafir in Fall 2016.


List of all members.
Public Member Functions |
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(id) | - init |
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(NSComparisonResult) | - compare: |
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(void) | - resetStatus |
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(BOOL) | - hasUpdate |
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(void) | - setProgress: |
Static Public Member Functions |
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(UAProduct *) | + productFromDictionary: |
Properties |
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SKProduct * | skProduct |
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NSString * | productIdentifier |
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NSURL * | previewURL |
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UAAsyncImageView * | preview |
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NSURL * | iconURL |
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UAAsyncImageView * | icon |
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NSURL * | downloadURL |
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int | revision |
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double | fileSize |
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NSString * | price |
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NSDecimalNumber * | priceNumber |
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NSString * | productDescription |
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NSString * | title |
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NSString * | receipt |
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BOOL | isFree |
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UAProductStatus | status |
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float | progress |
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SKPaymentTransaction * | transaction |
The documentation for this class was generated from the following file:


Airdrie benefits cheat in court again after admitting breach of payback order
Wendy Morrissey will be back to face sentencing in January once reports have been gathered.
by Airdrie and Coatbridge Advertiser, https://www.dailyrecord.co.uk/authors/airdrie-and-coatbridge-advertiser/A benefits cheat has admitted breaking the community payback order she was handed down for illegally obtaining nearly £10,000.
Dalwhinnie Place resident Wendy Morrissey, 43, failed to declare to authorities that the landlord of her home was in fact the father of her children.
As a result, she got her hands on £8500 to which she wasn’t entitled.
Morrissey was spared a custodial sentence last September, but will now return to court in January to face punishment after admitting ignoring the alternative.
A criminal justice social work report is necessary but wasn’t prepared on time after social work correspondence was sent to the wrong address.
Sheriff Petra Collins said: “This is Sheriff Shankland’s case so I’ll defer it for reports again since the wrong address was in the system.
”You’ll come back here on January 3.”


Standard ways of implementing decision procedure is bit vector flattening followed by a call to a propositional SAT solver. In this process first step is encoding statements from goto-program into bit vectors. Encoding variables and constants to bit vectors is a straight forward task, for example a variable X of size N, can be encoded into bit vectors b of length N. Bit vector operations have to be handled on individual bases. For example, let X, Y and Z be integer variable and a[n], b[n] and c[n] be the bit vectors for each variable respectively. For addition of two bits, we can use a one bit full adder circuit as in fig:bitadder. The circuit will provide us with following formula.
Bit flattening is a process of transforming bit vector logic into propositional logic [28]. For example above bit vector logic can be converted to a propositional logic for .
Similarly we can build carry chain adder for bit vectors, subtractor for subtract operation, bit wise operations etc. The multiplication, division and modulo operations generate large formulas. To handle large expressions and large operations incremental flattening is used [28].
As we know from sec:sat:solver, a proposition logic can be verified using SAT solvers. The SAT solver can work on propositional logic of program logic to verify expressions and check different properties of the program logic.
ash 2012-09-13


The TSP: An Evolutionary Computation Approach
Run Parameters
Run ID:
Population size:
Number of parents to keep:
Best Results So Far:
Best
routeId
:
Best length:
Best path:
Current threshold:
Evolve Solutions
How many generations to run?
Run evolution
Current generation:
Best Routes From Previous Generation:


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New hope for one of world's most endangered reptiles
by Helen BriggsBaby crocodiles found living in a remote region of Nepal give hope for the future of one of the rarest and strangest reptiles on earth.
With its distinctive long thin snout, the gharial is unique but critically endangered, with fewer than a thousand adults remaining in the wild.
The discovery of 100 hatchlings is a boost for the potential recovery of the species, according to scientists.
The crocodile is clinging to survival in India, Nepal and Bangladesh.
Revealing details of the find, researcher Rikki Gumbs of ZSL (Zoological Society of London) said it was amazing to find the baby crocodiles basking on a sand bank in Bardia National Park.
"Given the species is limited to around five populations across its entire range, this is such a positive discovery, and a critical step for the long-term recovery of the species in Nepal," he said.
"After trekking through the jungle for hours to sit on a ridge and finally catch a glimpse of the hatchlings below us - it was an incredible moment to capture," said Ashish Bashyal, who leads the conservation project in Nepal.
"At around 30cm in size, they look exactly like miniature versions of adult gharials - so incredibly cute," he said.
The 100 baby crocs, together with three adult females and one adult male, were discovered in June, but details are only now being revealed to aid conservation efforts. The crocodile has not been sighted in the area in 30 years.
There is encouraging news in that the hatchlings have recently been spotted again after the monsoon rain.
"They've made it through the first big hurdle," Rikki Gumbs told BBC News. "Especially with the threats that are impacting the species, it's very important that these hatchlings can make it to adulthood."
Once present across much of the Indian subcontinent, the gharial (Gavialis gangeticus) is virtually extinct across much of its former range, with fewer than 100 adult crocodiles remaining in Nepal and several fragmented populations in India. Only one other breeding population is known in Nepal, at Chitwan National Park.
The crocodile poses little danger to humans. Hunting and egg collection are now prohibited, but severe pressures remain, including loss of habitat due to the construction of dams, as well as pollution, fishing, agriculture and predation from another species of crocodile found in Nepal.
Adult gharials are large, with males reaching over 5 metres in length and 250kg in weight. Males develop a lump on the end of their snouts, known as a gharas, which gives the species its name.
The gharial is ranked at number 17 on ZSL's EDGE (Evolutionary Distinct and Globally Endangered) of Existence programme Reptiles list.


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--- layout: page title: Work display_title: true permalink: /work/ main_image_path: main_image_caption: frontpage: false description_markdown: description: "Tidekettle exists to explore the versatility of paper and encourage creativity and imagination in everyone who uses it for writing, artwork, crafts, or teaching" frontpagetitle: images: - image_path: image_title: image_description: _options: layout: hidden: true image_path: uploads_dir: 'assets/images/:year' width: 1200 height: 1200 resize_style: contain mime_type: image/jpeg main_image_path: uploads_dir: 'assets/images/:year' width: 1200 height: 1200 resize_style: contain mime_type: image/jpeg content: uploads_dir: 'assets/:year' _comments: title: Page title description: SEO one paragraph description for web search. This won't appear in your page main_image_path: Image used to represent your page frontpage: Show this page on the homepage homepage_description_markdown: Text used on homepage if shown display_title: Show page title frontpagetitle: Alternative title for home page use images: Add and edit images here ---
Tidekettle exists to explore the versatility of paper and encourage creativity and imagination in everyone who uses it for writing, artwork, crafts, or teaching. Possibilities are unlimited.


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Hello, I am a student at Rutgers University studying Computer Science. Lately, I've been focusing on front-end development and UI. I am passionate about web and application development as well as programming in general.
This is a riddle app/game that I created using HTML, CSS and
Javascript. Each level presents the player with a new challenge
in which they must decrypt the message I have given them in
order to progress in the game.
Code
This app presents user data that has been randomly generated from randomuser.me api. This project was built using React js and is my first project using a framework.
Using python, I built a simple calculator to handle basic math operations such as add, subtract, multiply and divide.
When it comes to developing, I'm currently interested in exploring more with frameworks and shells for app development. In the near future, I would like to learn about neural path networks and deep learning
Other interests include:


The online bidding portion of the silent auction will transfer to a live event on this day. The highest bidder for each item will be transferred to the leading bid. The silent auction will continue throughout the gala and close at 10pm.
Three hundred raffle tickets for $100 each will be sold for a change to wina luxurious five-night getaway at the breathtaking Hacienda Palo Maria in Puerto Vallarta, Mexico. This magnificent oceanfront villa, formerly owned by Red McCombs, will offer up to 10 guests every amenity as you escape to paradise.
We have added one additional Silent Auction Opportunity! A Live Painting Presentation from Bryson Brooks is to be painted at The Argyle of the Black and White Masquerade Ball. His original 4' X 5' painting will be in the Silent Auction! We will also be offering 16X20 Canvas reproductions of his Live Painting for sale at the Gala & After Party!