Builds a boolean option.
Markup Examples:
data-foo="true"
data-foo="false"
The arguments to apply when building the option.
The resulting option value.
Builds a color option.
Normally, this simply builds a string that matches a CSS color.
Note:
In the markup, this offers no advantage over using a plain string. This is mostly useful for the Coveo JavaScript Interface Editor.
Markup Examples:
data-foo="coveo-sprites-user"
data-foo="coveo-sprites-database"
The arguments to apply when building the option.
The resulting option value.
Builds a field condition option.
A field condition option defines a field-based condition that must be dynamically evaluated against, and satisfied by a query result item in order to initialize a result template component.
Markup Example:
data-condition-field-author="Alice Smith, Bob Jones"
data-condition-field-not-filetype="pdf"`
The resulting option value.
Builds a field option.
A field option validates whether the field has a valid name. This means that the string must start with the @
character.
Markup Example:
data-foo="@bar"
The arguments to apply when building the option.
The resulting option value.
Builds an array of fields option.
As with all options that expect an array, you should use commas to delimit the different values.
Markup Example:
data-foo="@bar,@baz"
The arguments to apply when building the option.
The resulting option value.
Builds a helper option.
Normally, this simply builds a string that matches the name of a template helper.
Note:
In the markup, this offers no advantage over using a plain string. This is mostly useful for the Coveo JavaScript Interface Editor.
Markup Examples:
data-foo="date"
data-foo="dateTime"
The arguments to apply when building the option.
The resulting option value.
Builds an icon option.
This takes an SVG icon name, validates it and returns the name of the icon. Markup Examples:
data-foo="search"
data-foo="facet-expand"
The arguments to apply when building the option.
The resulting option value.
Tries to parse a stringified JSON option.
If unsuccessful (because of invalid syntax), the JSON option is ignored altogether, and the console displays a warning message.
Markup Example:
data-foo='{"bar" : "baz"}'
Note:
A JSON option can always be set as a property in the init
call of the framework rather than as a data-
property in the corresponding HTMLElement markup.
Initialization Example:
Coveo.init(root, {
Facet : {
foo : {
"bar" : "baz"
}
}
})
The arguments to apply when building the option.
The resulting option value.
Builds an array of strings option.
As with all options that expect an array, you should use commas to delimit the different values.
Markup Example:
data-foo="bar,baz"
The arguments to apply when building the option.
The resulting option value.
Builds a localized string option.
A localized string option can be any arbitrary string.
When parsing the value, the Coveo JavaScript Search Framework tries to load the localization for that string, if it is available.
If it is not available, it returns the non-localized value.
This should be used for options that will be rendered directly to the end users.
Markup Example:
data-foo="bar"
The arguments to apply when building the option.
The resulting option value.
Builds a number option.
A number option can be an integer or a float in the markup.
Note:
To build a float option, you need to set the
float
property in theIComponentOptionsNumberOptionArgs
totrue
.
Markup Examples:
data-foo="3"
data-foo="1.5"
The arguments to apply when building the option.
The resulting option value.
Builds a query expression option.
The query expression option should follow the Coveo Cloud Query Syntax Reference.
Markup Example:
data-foo="@bar==baz"
The arguments to apply when building the option.
The resulting option value.
Builds an option that allow to select an HTMLElement.
The option accepts a CSS selector matching the required HTMLElement. This selector can either be a class, or an ID selector.
Markup Examples:
data-foo-selector=".bar"
data-foo-selector="#bar"
The arguments to apply when building the option.
The resulting option value.
Builds a string option.
A string option can be any arbitrary string in the markup.
Markup Example:
data-foo="bar"
The arguments to apply when building the option.
The resulting option value.
Loads and parses the options of the current element.
Each component calls this method in its constructor.
The element whose markup options the method should load and parse.
The class of the component whose options the method should load and parse (e.g., Searchbox
,
Facet
, etc.)
The additional options which the method should merge with the specified markup option values.
The
ComponentOptions
static class contains methods allowing the Coveo JavaScript Search Framework to initialize component options.Typically, each
Component
that exposes a set of options contains a staticoptions
property.This property "builds" each option using the
ComponentOptions
method corresponding to its type (e.g.,buildBooleanOption
,buildFieldOption
,buildStringOption
, etc.)


AUTOMOC_DEPEND_FILTERS¶
Filter definitions used by AUTOMOC
to extract file names from a
source file that are registered as additional dependencies for the
moc
file of the source file.
Filters are defined as KEYWORD;REGULAR_EXPRESSION
pairs. First the file
content is searched for KEYWORD
. If it is found at least once, then file
names are extracted by successively searching for REGULAR_EXPRESSION
and
taking the first match group.
The file name found in the first match group is searched for
- first in the vicinity of the source file
- and afterwards in the target’s
INCLUDE_DIRECTORIES
.
If any of the extracted files changes, then the moc
file for the source
file gets rebuilt even when the source file itself doesn’t change.
If any of the extracted files is GENERATED
or if it is not in the
target’s sources, then it might be necessary to add it to the
_autogen
target dependencies.
See AUTOGEN_TARGET_DEPENDS
for reference.
By default AUTOMOC_DEPEND_FILTERS
is initialized from
CMAKE_AUTOMOC_DEPEND_FILTERS
, which is empty by default.
See the cmake-qt(7)
manual for more information on using CMake
with Qt.
Example 1¶
A header file my_class.hpp
uses a custom macro JSON_FILE_MACRO
which
is defined in an other header macros.hpp
.
We want the moc
file of my_class.hpp
to depend on the file name
argument of JSON_FILE_MACRO
:
// my_class.hpp
class My_Class : public QObject
{
Q_OBJECT
JSON_FILE_MACRO ( "info.json" )
...
};
In CMakeLists.txt
we add a filter to
CMAKE_AUTOMOC_DEPEND_FILTERS
like this:
list( APPEND CMAKE_AUTOMOC_DEPEND_FILTERS
"JSON_FILE_MACRO"
"[\n][ \t]*JSON_FILE_MACRO[ \t]*\\([ \t]*\"([^\"]+)\""
)
We assume info.json
is a plain (not GENERATED
) file that is
listed in the target’s source. Therefore we do not need to add it to
AUTOGEN_TARGET_DEPENDS
.
Example 2¶
In the target my_target
a header file complex_class.hpp
uses a
custom macro JSON_BASED_CLASS
which is defined in an other header
macros.hpp
:
// macros.hpp
...
#define JSON_BASED_CLASS(name, json) \
class name : public QObject \
{ \
Q_OBJECT \
Q_PLUGIN_METADATA(IID "demo" FILE json) \
name() {} \
};
...
// complex_class.hpp
#pragma once
JSON_BASED_CLASS(Complex_Class, "meta.json")
// end of file
Since complex_class.hpp
doesn’t contain a Q_OBJECT
macro it would be
ignored by AUTOMOC
. We change this by adding JSON_BASED_CLASS
to CMAKE_AUTOMOC_MACRO_NAMES
:
list(APPEND CMAKE_AUTOMOC_MACRO_NAMES "JSON_BASED_CLASS")
We want the moc
file of complex_class.hpp
to depend on
meta.json
. So we add a filter to
CMAKE_AUTOMOC_DEPEND_FILTERS
:
list(APPEND CMAKE_AUTOMOC_DEPEND_FILTERS
"JSON_BASED_CLASS"
"[\n^][ \t]*JSON_BASED_CLASS[ \t]*\\([^,]*,[ \t]*\"([^\"]+)\""
)
Additionally we assume meta.json
is GENERATED
which is
why we have to add it to AUTOGEN_TARGET_DEPENDS
:
set_property(TARGET my_target APPEND PROPERTY AUTOGEN_TARGET_DEPENDS "meta.json")


{% extends "polls/index.html" %} {% block title %}About Poll App{% endblock %} {% block body %}
created by Vincent Chan 2013.10.26


--- layout: post title: Firefox OS using Utility Components for Appmaker Part 1 date: 2014-07-27 04:21:00.000000000 +05:30 type: post published: true status: publish categories: - Firefox - Firefox OS - Firefox OS Apps - Firefox OS Tutorials tags: [] meta: blogger_blog: www.technoruler.com blogger_author: VISWAPRASATH KS blogger_cb097c283b9bbfde97b4822e7250157d_permalink: '8477519389026760262' author: login: viswaprasath email<EMAIL_ADDRESS>display_name: Vitchu first_name: '' last_name: '' ---
In our application we are first going to use some of Utility components in our next app we can use others. The components are
Button with Conformation
We already knew that Header is very Important for almost all the application. So we have Started with header and named it as We are Good. It is very well know all Mozillians are best and Good in contribution.
Below that we have placed the Image. As of now we have not given the source. So at first it will appear blank. We will get the image in future. Surely it is well know image. Increase the height according to your need.
Below that is Text Input with Button. The input which we give in the text box will go as output.
Placed a simple text box. With the instruction. The instruction is given in the Text area and the colour of the text is red you can change it to any
"Click Start You will get image by clicking Submit"
Below the Text box we have placed with Button with Conformation with the Label Click and Start and Conformation message as Shall We start. As of now didn't change the colour of button. Then the value which will be set is the Image source path.
The flow of the application is also follows. The user is requested first to click on the Button with Conformation. A pop-up will come. If he accepts then the value is sent to the Text Input with Button. When he hits Submit the output will be going to Image, the output is Image source and it will be displayed.
App link to see. Feel free to remix and share with your Friends and make them happy.


Movies
TV Shows
Watchlist
animation
TOP RATED SERIES
Show More...
POPULAR SERIES
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Cloud Vision V1 API - Module Google::Cloud::Vision::V1 (v0.6.4)
Reference documentation and code samples for the Cloud Vision V1 API module Google::Cloud::Vision::V1.
To load this package, including all its services, and instantiate a client:
Example
require "google/cloud/vision/v1" client = ::Google::Cloud::Vision::V1::ProductSearch::Client.new
Constants
VERSION
value: "0.6.4"


Author: Josh Braegger Based on the original nodejs Portify by Sebastian Mauer Licensed under the terms of the Apache 2.0 License Available on GitHub: http://github.com/rckclmbr/pyportify


Basic
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Outline
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Text over Media
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Header
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Header and Thumbnail
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Only Buttons
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Only Icons
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Basic w/ Full Bleed
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.
Horizontal Image and Text
Our Changing Planet
by Kurt Wagner
Custom Card Borders
Our Changing Planet
by Kurt Wagner
Custom Card Media Borders
Our Changing Planet
by Kurt Wagner
Visit ten places on our planet that are undergoing the biggest changes today.


- SBML - Static variable in class org.sbolstandard.core2.Model
-
Systems Biology Markup Language (SBML), the standard XML format for models of biological
processes such as for example metabolism, cell signaling, and gene regulation
(
SBML).
- SBOLDocument - Class in org.sbolstandard.core2
-
- SBOLDocument() - Constructor for class org.sbolstandard.core2.SBOLDocument
-
Creates a new SBOLDocument instance with one empty list for the namespaces and for each top-level instance,
and then adds the following namespaces: Sbol2Terms.sbol2
, Sbol1Terms.rdf
, Sbol2Terms.dc
,
and Sbol2Terms.prov
.
- SBOLFactory - Class in org.sbolstandard.core2
-
- SBOLReader - Class in org.sbolstandard.core2
-
- SBOLReader() - Constructor for class org.sbolstandard.core2.SBOLReader
-
- SBOLValidate - Class in org.sbolstandard.core2
-
- SBOLValidate() - Constructor for class org.sbolstandard.core2.SBOLValidate
-
- SBOLValidationException - Exception in org.sbolstandard.core2
-
- SBOLVersion - Static variable in class org.sbolstandard.core2.SBOLValidate
-
the current SBOL version
- SBOLWriter - Class in org.sbolstandard.core2
-
- SBOLWriter() - Constructor for class org.sbolstandard.core2.SBOLWriter
-
- Sequence - Class in org.sbolstandard.core2
-
- SEQUENCE - Static variable in class org.sbolstandard.core2.TopLevel
-
The abbreviation for the Sequence type in URI
- SequenceAnnotation - Class in org.sbolstandard.core2
-
- SequenceConstraint - Class in org.sbolstandard.core2
-
- SequenceOntology - Class in org.sbolstandard.core2
-
- SequenceOntology() - Constructor for class org.sbolstandard.core2.SequenceOntology
-
- setAccess(AccessType) - Method in class org.sbolstandard.core2.ComponentInstance
-
Sets the access property of this object to the given one.
- setAt(int) - Method in class org.sbolstandard.core2.Cut
-
Sets the at
property of this Cut object to the given one.
- setComplete(boolean) - Method in class org.sbolstandard.core2.SBOLDocument
-
Sets the complete flag which when true indicates this SBOLDocument object is complete
and any URIs that cannot be dereferenced to a valid object cause an exception to be thrown.
- setComponent(String) - Method in class org.sbolstandard.core2.SequenceAnnotation
-
Sets the reference Component URI to the URI of the Component instance matching the
given displayId
.
- setComponent(URI) - Method in class org.sbolstandard.core2.SequenceAnnotation
-
Sets the reference component URI to the given componentURI
.
- setCreateDefaults(boolean) - Method in class org.sbolstandard.core2.SBOLDocument
-
Sets the flag to the given createDefaults
to determine if default component instances
should be created when not present.
- setDefaultURIprefix(String) - Method in class org.sbolstandard.core2.SBOLDocument
-
Sets the default URI prefix to the given defaultURIprefix
.
- setDefinition(URI) - Method in class org.sbolstandard.core2.ComponentInstance
-
Sets the definition property of this object to the given one.
- setDefinition(URI) - Method in class org.sbolstandard.core2.Module
-
Sets the reference definition URI to the given definitionURI
.
- setDescription(String) - Method in class org.sbolstandard.core2.Identified
-
Sets the description property of this object to the specified one.
- setDirection(DirectionType) - Method in class org.sbolstandard.core2.FunctionalComponent
-
Sets the direction property of this FunctionalComponent object to the given one.
- setElements(String) - Method in class org.sbolstandard.core2.Sequence
-
Sets the elements
property to the given argument.
- setEncoding(URI) - Method in class org.sbolstandard.core2.Sequence
-
Sets the encoding
property to the given argument.
- setEnd(int) - Method in class org.sbolstandard.core2.Range
-
Sets the end position of this Range object.
- setFramework(URI) - Method in class org.sbolstandard.core2.Model
-
Sets the framework
property to the given argument.
- setLanguage(URI) - Method in class org.sbolstandard.core2.Model
-
Sets the language
property to the given argument.
- setLocal(URI) - Method in class org.sbolstandard.core2.MapsTo
-
Sets the local property of this MapsTo object to the given one.
- setMembers(Set<URI>) - Method in class org.sbolstandard.core2.Collection
-
Clears the existing set of member references first, then adds the given
set of the member references to this Collection object.
- setModels(Set<URI>) - Method in class org.sbolstandard.core2.ModuleDefinition
-
Clears the existing set of Model references first, then adds the given
set of the Model references to this ModuleDefinition object.
- setName(String) - Method in class org.sbolstandard.core2.Identified
-
Sets the name of this object to the specified one.
- setObject(URI) - Method in class org.sbolstandard.core2.SequenceConstraint
-
Sets the reference object Component URI to the given objectURI
.
- setOrientation(OrientationType) - Method in class org.sbolstandard.core2.Location
-
Sets the orientation property of this object to the given one.
- setParticipant(URI) - Method in class org.sbolstandard.core2.Participation
-
Sets the participant property of this object to the given one.
- setRDFType(QName) - Method in class org.sbolstandard.core2.GenericTopLevel
-
Set the RDF type property of this GenericTopLevel object to the specified one.
- setRefinement(RefinementType) - Method in class org.sbolstandard.core2.MapsTo
-
Sets the refinement property of this MapsTo object to the given one.
- setRemote(URI) - Method in class org.sbolstandard.core2.MapsTo
-
Sets the remote property of this MapsTo object to the given one.
- setRestriction(RestrictionType) - Method in class org.sbolstandard.core2.SequenceConstraint
-
Sets the restriction property to the given restriction
.
- setRestriction(URI) - Method in class org.sbolstandard.core2.SequenceConstraint
-
Sets the restriction property to the given restrictionURI
.
- setRoles(Set<URI>) - Method in class org.sbolstandard.core2.ComponentDefinition
-
Clears the existing set of role references first, then adds the specified
set of the role references to this ComponentDefinition object.
- setRoles(Set<URI>) - Method in class org.sbolstandard.core2.ModuleDefinition
-
Clears the existing set of role references first, then adds the given
set of the role references to this ModuleDefinition object.
- setRoles(Set<URI>) - Method in class org.sbolstandard.core2.Participation
-
Clears the existing set of role references first, then adds the given
set of the role references to this Participation object.
- setSequences(Set<URI>) - Method in class org.sbolstandard.core2.ComponentDefinition
-
Clears the existing set of Sequence references first, then adds the given
set of the Sequence references to this ComponentDefinition object.
- setSource(URI) - Method in class org.sbolstandard.core2.Model
-
Sets the source
property to the given argument.
- setStart(int) - Method in class org.sbolstandard.core2.Range
-
Sets the start position of this Range object.
- setSubject(URI) - Method in class org.sbolstandard.core2.SequenceConstraint
-
Sets the reference subject Component URI to the given subjectURI
.
- setTypes(Set<URI>) - Method in class org.sbolstandard.core2.ComponentDefinition
-
Clears the existing set of role references first, then adds the specified
set of the role references to this ComponentDefinition object.
- setTypes(Set<URI>) - Method in class org.sbolstandard.core2.Interaction
-
Clears the existing set of type references first, then adds the given
set of the type references to this Interaction object.
- setTypesInURI(boolean) - Static method in class org.sbolstandard.core2.SBOLReader
-
Set the specified authority as the prefix to all member's identity
- setTypesInURIs(boolean) - Method in class org.sbolstandard.core2.SBOLDocument
-
Sets the flag to the given typesInURIs
to determine if types are to be inserted into top-level URIs.
- setURIPrefix(String) - Static method in class org.sbolstandard.core2.SBOLReader
-
Set the specified authority as the prefix to all member's identity
- setVersion(String) - Static method in class org.sbolstandard.core2.SBOLReader
-
Set the specified authority as the prefix to all member's identity
- setWasDerivedFrom(URI) - Method in class org.sbolstandard.core2.Identified
-
Sets the wasDerivedFrom
property of this object to the specified one.
- SIDE_PRODUCT - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
A substance that is produced in a chemical reaction but is not itself the primary
product or focus of that reaction (
SBO:0000603).
- SIDE_SUBSTRATE - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
A substance that is consumed in a chemical reaction but is not itself the primary
substrate or focus of that reaction (
SBO:0000604).
- SILENCER - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
A silencer is a modifier which acts in a manner that completely prevents an event or
process from occurring (
SBO:0000597).
- SMALL_MOLECULE - Static variable in class org.sbolstandard.core2.ComponentDefinition
-
- SMILES - Static variable in class org.sbolstandard.core2.Sequence
-
SMILES was originally developed as a proprietary specification by Daylight Chemical
Information Systems Since the introduction of SMILES in the late 1980’s, it has become
widely accepted as a defacto standard for exchange of molecular structures
(
SMILES).
- SPATIAL_CONTINUOUS_FRAMEWORK - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Modelling approach where the quantities of participants are considered continuous, and represented
by real values (
SBO:0000292).
- SPATIAL_DISCRETE_FRAMEWORK - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Modelling approach where the quantities of participants are considered discrete, and represented
by integer values (
SBO:0000294).
- SPECIFIC_ACTIVATOR - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
An essential activator that affects the apparent value of the specificity constant (
SBO:0000533).
- STATE_VARIABLE_ASSIGNMENT - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Assignment of a state or a value to a state variable, characteristic or property, of a
biological entity
(
SBO:0000464).
- STIMULATION - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Positive modulation of the execution of a process
(
SBO:0000170).
- STIMULATOR - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Substance that accelerates the velocity of a chemical reaction without itself being
consumed or transformed
(
SBO:0000459).
- SUBSTRATE - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Molecule which is acted upon by an enzyme (
SBO:0000015).
- SULFATION - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Addition of a sulfate group (SO4--) to a chemical entity
(
SBO:0000220).
- SYNTHETIC_LETHALITY - Static variable in class org.sbolstandard.core2.SystemsBiologyOntology
-
Synthetic lethality is said to have occurred where gene mutations, each of which map to
a separate locus, fail to complement in an offspring to correct a phenotype, as would be
expected
(
SBO:0000502).
- SystemsBiologyOntology - Class in org.sbolstandard.core2
-
- SystemsBiologyOntology() - Constructor for class org.sbolstandard.core2.SystemsBiologyOntology
-


This awesome AngularJS app has no commercial intents.
It is developed just for fun ;)
It uses JSON feeds to gather the live sport game scores and the live-stream links (along with authorization IDs)
then display everything in a mobile-friendly, good looking layout using Google's Material Design Concept.


SIMPATICO A film review by Christopher Null Copyright 1999 filmcritic.com filmcritic.com
I love a good thriller. And no one makes good thrillers any more. Enter SIMPATICO, with a cast boasting both Nick Nolte and Jeff Bridges, not to mention Albert Finney and Sharon Stone -- all set among the intrigue of a scandal involving horse racing, blackmail, and steamy sex. How could this miss?
By being as straightforward as, well, a horse race. It's just a big loop from start to finish. No real surprises along the way, just jockeying for position. SIMPATICO finishes right where it started, with a time of 106 minutes.
Based on the play by Sam Shepard, Nolte, Bridges, and Stone play a trio of friends, long since torn apart by a scam gone awry in their youth. As we quickly learn, Bridges (now a famous horse breeder and racer) is now being blackmailed by his old pal Nolte (now a bum in California).
The plot thickens. Nolte phones out of the blue: Something is amiss. Bridges quickly flies to California, but things don't go as planned.
The problem with SIMPATICO is that no one expects things to go as planned. That Nolte is going to double-cross Bridges is a given. Exactly why is a mystery, and that's one that, sadly, never gets explained. In fact, that can be said for the entire film. Example: Why Bridges decides to send Nolte's girlfriend to Kentucky to work a deal for him is inexplicable and bizarre.
Ditto the behavior of all the characters. SIMPATICO merits barely a "Hmmm" on the surprise-o-meter. Instead of crafting deft plot twists, the film relies on random behavior and a confusing structure designed to dole the story out in tiny bits over the entire running time.
Why? If they told it like it really was, you'd realize there wasn't much of a movie here. SIMPATICO is a very pretty film, and its stars do as much as possible with their roles. It's just that the roles don't do much for them.

The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Interstellar Racing League
About Interstellar Racing League
Interstellar Racing League is a high-speed, racing experience, which supports up to 4 players in local splitscreen. Players race along gravity-defying tracks through alien planets to compete for the title of the Galaxy’s Best Racer.
Interstellar racing league was developed over the course of 4 months on a team of 56 people, using Unreal Engine 4.17. On this project, I worked on the UI team, alongside one artist and one UX lead. Together, we developed all menus and UI in the final game.
My Role
As the only programmer on the UI team, I was in charge of the system design and implementation of all menus and HUD elements in the game. I also had to work closely with the UI artist and my lead to assure that all UI elements were conveying correctly in-game, and met stakeholder standards.
Specs
- Engine: Unreal Engine 4
- Language: Blueprint
- Team size: 56
- Role: UI Programmer
Downloads
Game Features
Main Menu System
This project required a fully fleshed out menu system with multiplayer and singleplayer capabilities, character selection, track selection, resolution options, audio options, and the ability to change control schemes. This system was large and complex, and required constant maintenance to make sure that it was quick and elegant for the players to use.
Developed using blueprint and Unreal's UMG widget sytem, the menu system consists of several sub-menus (options, character select, track select, etc.) which can be navigated easily and seamlessly. To do this, I implemented each individual menu’s functionality into a separate widget blueprint, and consolidated each widget into a single “Main Menu” widget which controls swapping between menus and manages the overall game state. After each menu has been navigated, and players have selected their control schemes, players, and track, the menu loads the correct level, and sends all of this information into the game to make sure players spawn with the correct vehicles and controls. This system allowed developers to work on individual menus independently, while still keeping the overall functionality consolidated into one place.
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Multiplayer Character Select Menu
The character select screen required that multiple players to be able to navigate the menu independently and simultaneously, similar to other couch co-op menu systems such as Mario Kart or Super Smash Brothers. This required some design on the PlayerController blueprint for the main menu, which keeps track of the player’s current character selection, and whether or not that player has made their final selection. This state needs to be clearly conveyed to the player as well, with independent cursors and “hover” states for character images.
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Multiplayer HUD
This project required the HUD to display information about the player’s place, current lap, and powerups, as well as broader race information such as a minimap, indicators for approaching vehicles, and player icons over enemy players. This system had to be designed with split-screen in mind - a single HUD blueprint couldn't be stretched onto the 2-player screen without comprimising the user experience. To address this, we developed 3 different HUDs, which took into account the screen layouts for single player, two player, and three/four player modes. Upon loading into a level, the game instance identifies how many players are in the game, and sets up the hud appropriately.
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Player Icons
In any racing game, the player needs to be able to quickly identify other players and CPUs, and gauge where they were in the race. In order to do this, we chose to implement icons over surrounding players, and proximity indicators which appear when a car is approaching the player from behind.
For the player icons, each human player’s HUD requires up to 7 player icons on screen, which track other car's positions while they are in view, and disappear when the enemy car is not visible or too far away. To implement this, I added a set of 7 icons to the screen, and gave each icon an enemy car to “track”. While the target car was visible and within a set range of the player (determined by designers), the icon updates its screen position to be above the car’s screen position, and hides itself if those conditions are not met.
For the proximity indicators, each car has in-world indicators, which become visible when cars approaching from behind get close. When a car meets this criteria, the indicator rotates to “point” at the approaching car, so that the player can make quick decisions to avoid collisions.
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The Moving Picture Girls Under the Palms or Lost in the Wilds of Florida
by Laura Lee Hope
Chapter 9: In the Dungeon
Additional Information
- Year Published: 1914
- Language: English
- Country of Origin: United States of America
- Source: Hope, L. L. (1914). The Moving Picture Girls Under the Palms or Lost in the Wilds of Florida.New York: Grosset & Dunlap.
-
Readability:
- Flesch–Kincaid Level: 5.4
- Word Count: 2,239
- Genre: Adventure
- Keywords: florida stories, the moving picture girls under the palms
- ✎ Cite This
Downloads
“Oh, if we could only stay here forever!”
“It would be Paradise!”
Thus Ruth and Alice exclaimed as they entered the orange grove, a short distance from the city gates. And indeed the scene that greeted them, and the sweet odors, might well call for this praise and desire from even the most blasé tourist.
Even Russ, grown accustomed by his calling to odd scenes, was impressed by the wonderful sight, and as for Paul, who had something of the romantic nature of Ruth, it was a pure delight to him.
“I wonder if they will take any pictures here?” said Ruth, softly—at first it seemed as if one must talk in whispers so as not to disturb the beauty of the place.
“Oh, I’m going to film you here,” announced Russ. “Stand still a moment and I’ll snap you now. There’s a pretty place.”
Ruth and Alice assumed graceful poses, and soon their likenesses were registered on the film. Russ never tired of taking pictures, and when he was not making moving ones he was using his small hand camera. How many times he had taken the likeness of Ruth it would be hard to estimate.
They wandered about the orange grove, and the young men bought some of the delicious fruit, right from the trees, and fully ripe. It had a flavor all its own.
“Let me show you how to eat an orange,” suggested one of the men of the grove, as he saw the young people going about, “in the way it is usually done when no orange spoons are to be had.”
“Somebody has said,” went on the man, “that you need to lean over a bathtub to eat an orange this way, but it’s worth while. You get a little smeared up doing it; but you can wash in the spring over there,” and he pointed to one amid a pile of stones.
Then with his keen knife he cut the orange in a peculiar spiral manner, with the skin left on so that eventually he had a long yellow strip, with the sections of orange clinging to the yellow rind.
 It takes a little practice; but I’ve got some black boys that can get every drop. Watch!”
Rapidly he ate along the extended strip of skin, to which clung the cut sections of orange. In a moment it was clean.
“It’s an awfully crude way of doing it—but, as long as we’re in an orange grove, let’s do as the orange ‘grovers’ do,” laughed Alice.
“I’m game!” cried Paul.
“Same here!” put in Russ, and they cut their oranges as the man had done. The latter then prepared one each for Ruth and Alice, and amid much laughter—the girls and the young men leaning far over so as not to drip the juice on their clothes—they finished the delicious fruit.
“Now bring on your bathtub!” cried Russ.
“There’s the spring,” the man said. “There’s a basin near it, and it’s clean.”
Laughing over the new way of eating oranges, but voting that it was worth while, even if it was a bit “smeary,” the young folks washed their hands and faces, and kept on through the grove, growing more and more glad at every step that they had come to Florida.
“And now for the Fountain of Youth!” cried Paul.
“I don’t feel that I need it, after that delicious orange,” laughed Ruth.
“Indeed, if you get any younger, you’ll go back to kindergarten days,” remarked Paul.
“Thank you. I don’t want to be quite as young as that.”
The Fountain of Youth, one of the curiosities of St. Augustine, is on Myrtle avenue, two blocks north of the orange grove, and the four laughing young people were soon there.
“Is this really the fountain Ponce de Leon thought would give eternal youth?” asked Ruth, half-seriously, as they stood near the little roofed-over spring.
“That is the legend,” declared Paul. “Of course that’s not saying it’s so. But the spring has one peculiar quality.”
“What’s that?” asked Russ.
“The waters rise and fall without any particular cause. Sometimes they are higher than at others, and none of the other wells, or springs, in this vicinity do that. So you see it may be miraculous after all.”
“Let’s try it,” suggested Alice, who was always ready for anything new.
“Oh, but perhaps it isn’t good water,” objected Ruth, more cautious. “We may get typhoid, or something like that.”
“Nonsense!” laughed Alice, but she looked questioningly at Paul.
“Lots of people drink the water,” he said. “Allow me,” and he lowered a small bucket attached to a rope made fast to the roof of the well.
He drew it up, brimming over, and with a low bow handed some of the water to Alice, pouring it into a small collapsible cup he happened to have with him.
“Drink! And may you never grow old!” he said, and there was more of meaning in his eyes than in his words.
“We’ll all sample it!” cried Russ, and as Ruth was induced, just for the fun of the thing, to try some, they heard the murmur of voices behind them.
“Save some for us!” was the call, and Miss Pennington and Miss Dixon came up.
“We’ll all be young together,” said Alice. Though she and her sister were not very chummy with the two former vaudeville actresses, they were not exactly unfriendly. And who could be unfriendly in that beautiful spot, and on the reputed site of the Fountain of Youth?
“The more you drink the younger you get!” bantered Paul, as Miss Dixon asked him for a second cup.
“Gracious, then I’ll turn into a baby,” exclaimed Miss Pennington. “I’ve been here once before this morning, and I took several glasses.”
“Back to juvenile rôles for yours!” cried Russ. “Mr. Pertell will have to look for another leading lady.”
“I haven’t noticed any effect yet,” she said, as she took out a vanity box, and surreptitiously used her chamois, leaving a more brilliant tint on her face.
“It takes time,” went on Russ, half-seriously. “You will awaken in the morning, crying for a rattle.”
Thus they made merry near the well, with its queer square stones built into pillars to hold up the roof.
“Poor Ponce de Leon,” sighed Ruth. “How disappointed he must have been when he found out that his life was slipping away in spite of the Fountain of Youth. I wonder if he really believed he had found it?”
“He couldn’t have—when he came to die,” remarked Russ, practically.
“But it is a pretty story,” Ruth said, softly. “Poor Ponce de Leon!”
“The Indians told him this was the fountain,” said Paul, who had been reading history. “Near this fountain was found a large coquina cross. The cross was located by the discovery of a silver casque, which contained documents telling of the matter, and one seems to fix the date of the first visit of Ponce de Leon to Florida. That was in 1513, according to the documents found in the casque.
“Am I boring you?” he asked quickly, for he thought the two former vaudeville actresses looked as though they wanted to talk of something else besides dry historical facts.
“No, indeed!” cried Alice. “I just love to hear about this.”
“Do go on,” urged Ruth, and even Miss Pennington condescended to say:
“It sounds interesting.”
“I’ll read you what one of the old documents said,” went on Paul.  In the boat, which I describe in my descriptive image, I went ashore with the Indian. We landed near a spring that they call the Fountain of Youth; there they had a temple built where they worshipped the sun, and there I built a cross out of coquina, which is a natural formation of the sea, and I laid it with the rising and setting sun. In the heart of the cross I placed a descriptive image of myself, and took possession in the name of our beloved Catholic King.’
“That’s in the document,” went on Paul, “and the paper was given to the United States, through courtesy of the Governor of Sevilla, in 1908.”
“How interesting,” murmured Alice. “And to think that we are standing on such historic ground! Think of the ancient Indians worshipping the sun here,” and she looked up at the flaming orb.
“The sun is paying altogether too much attention to me!” complained Miss Pennington, with a laugh. “It will spoil my complexion, in spite of the Fountain of Youth. I must be going.”
“Oh, by the way, Russ,” she called back over her shoulder, “Mr. Pertell was looking for you.”
“Was he?” asked the young operator. “Then I’d better be getting back.”
“I fancy we all had,” spoke Ruth. “It must be near lunch time. Come along, Alice.”
Russ, back at the hotel, found that the manager had decided to make as the first film one showing some of his players at Fort Marion, and he wanted Russ to go out there with him and plan the scenario, which would be undertaken in a day or two.
The time quickly passed, for it was so lovely in St. Augustine, and there were so many things to see, that night seemed to follow quickly on the heels of morning.
Arrangements having been made, the company one morning went to the old fort and there Russ filmed many scenes. The play was to be called “The Spanish Prisoner,” the background of the old fort being most effective.
The players were filmed, going through their various parts on what was once the drawbridge in front of the portcullis, near the old watchtower on the stairway that was originally an inclined way, by which artillery was hauled up to the terre plein.
Ruth and Alice were in many of the scenes, but there came a rest for Alice who, always interested in matters of antiquity, wandered about the old fort by herself, Ruth and Mr. DeVere being engaged.
The girl finally made her way to what had been the old guard room and dungeon. In the guard room was a table and some chairs, for the fort is in charge of a detachment from the United States Army, and accommodations are provided for visitors.
Alice sat down in one of the chairs, and looked at the big open fire-place at one end of the guard rooms. She recalled some of its history that Paul had read to her that morning.
The dungeon was accidently discovered in 1835 and two iron cages, containing the skeletons of a man and woman, were found fastened to the wall.
“Poor creatures! What a horror it must have been!” thought Alice, as she looked toward the narrow opening to the black dungeon.
“Ugh! It’s getting on my nerves, staying here!” she exclaimed, for she was all alone. “I’m going!”
As she rose she heard a noise near the doorway by which she had entered. Turning quickly, expecting to see one of the company, she was horrified to see by the light which entered through a barred window, an aged colored man facing her. He did not approach, but bowing before her exclaimed in quavering tones:
“Den I find yo’, my Missie! Old Jake look eberywhere fo’ you,’ but he find yo’! I knowed I’d find yo’ some day, an’ now I has, but it’s been a pow’ful long time, honey! A long time!” and with outstretched hands, as he took a battered hat from his head, he approached her. Alice screamed and got behind the table.


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Marketing July 12, 2018
Marketing July 20, 2018
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Our project uses Google Cloud Platform for gathering and analysing data to enhance the usability of the system.


1) How likely is it that you would recommend
jquery.glue
to a friend or colleague?
1 (Would NOT reccommend)
2
3 (Indiferent)
4
5 (Would DEFINITELY reccommend)
2) Please select your areas of expertise:
Web design
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Your answer to the first question was:
Your answer to the second question was:


pairtree is a command line program run from a shell like Bash. It allows you to organize encode “Name as Text” documents to provide metadata for a directory.
This is generalized instructions for a release. For deployment suggestions see NOTES.md
Compiled versions are available for Mac OS X (amd64 processor, macosx-amd64), Linux (amd64 process, linux-amd64), Windows (amd64 processor, windows-amd64) and Rapsberry Pi (arm7 processor, raspberry_pi_os-arm7)
VERSION_NUMBER is a symantic version number (e.g. v0.1.2)
For all the released version go to the project page on Github and click latest release
https://github.com/caltechlibrary/pairtree/releases/latest
| Platform | Zip Filename |
|---|---|
| Windows | pairtree-VERSION_NUMBER-windows-amd64.zip |
| Mac OS (Intel) | pairtree-VERSION_NUMBER-macos-amd64.zip |
| Mac OS (M1) | pairtree-VERSION_NUMBER-macos-amd64.zip |
| Linux/Intel | pairtree-VERSION_NUMBER-linux-amd64.zip |
| Raspbery Pi | pairtree-VERSION_NUMBER-raspberry_pi_os-arm7.zip |
export PATH="$HOME/bin:$PATH"
)Here’s an example of the commands run in the Terminal App after downloading the zip file.
cd Downloads/
unzip pairtree-*-macosx-amd64.zip
mkdir -p $HOME/bin
cp -v bin/* $HOME/bin/
export PATH=$HOME/bin:$PATH
pairtree -version
Here’s an example of the commands run in from the Bash shell on Windows 10 after downloading the zip file.
cd Downloads/
unzip pairtree-*-windows-amd64.zip
mkdir -p $HOME/bin
cp -v bin/* $HOME/bin/
export PATH=$HOME/bin:$PATH
pairtree -version
Here’s an example of the commands run in from the Bash shell after downloading the zip file.
cd Downloads/
unzip pairtree-*-linux-amd64.zip
mkdir -p $HOME/bin
cp -v bin/* $HOME/bin/
export PATH=$HOME/bin:$PATH
pairtree -version
Released version is for a Raspberry Pi 2 or later use (i.e. requires ARM 7 support).
Here’s an example of the commands run in from the Bash shell after downloading the zip file.
cd Downloads/
unzip pairtree-*-raspberry_pi_os-arm7.zip
mkdir -p $HOME/bin
cp -v bin/* $HOME/bin/
export PATH=$HOME/bin:$PATH
pairtree -version
pairtree is “go gettable”. Use the “go get” command to download the dependant packages as well as pairtree’s source code.
go get -u github.com/caltechlibrary/pairtree/...
Or clone the repstory and then compile
cd
git clone https://github.com/caltechlibrary/pairtree src/github.com/caltechlibrary/pairtree
cd src/github.com/caltechlibrary/pairtree
make
make test
make install


MDW manual task activities use the task template concept to separate the definition of task characteristics from workflow. The reason for this is to make it possible for folks who aren't workflow designers to own and change aspects of a task's definition (such as SLA, notification options, routing setup, etc).
Starting with MDW 5.5, when you configure a manual task activity in Designer, you'll associate the activity with a task template. The task template is an XML asset with a .task file extension that defines the behavior of task instances created according to that template.
MDW provides two ways to configure the task templates: 1) in Designer, and 2) in MDWHub. The Designer mechanism is useful for workflow developers who want to define the template while they're building up a flow. The MDWHub page is for end-users such as workgroup managers.
TODO: assemble the documentation on Task SLAs, Workgroups, Notices, Indexes, Autoform layout from the scattered HTML sources into this page. Also describe custom pages and link to the Custom Web documentation.


"""
author: Julien Seznec
Restless arm, i.e. arms with mean value which change at each round
"""
try:
from . import Arm, Bernoulli, Binomial, UnboundedExponential, UnboundedGaussian, Constant, UnboundedPoisson
except ImportError:
from Arm import Arm
from Bernoulli import Bernoulli
from Binomial import Binomial
from Exponential import UnboundedExponential
from Gaussian import UnboundedGaussian
from Constant import Constant
from Poisson import UnboundedPoisson
from math import sin
[docs]class RestlessArm(Arm):
[docs] def __init__(self, rewardFunction, staticArm):
self.reward = rewardFunction
# It provides the mean of the arm after n pulls. EXCEPT for truncated distributions where it is the mean of the untrucated distributions
self.arm = staticArm
self.mean = self.arm.mean
[docs] def draw(self, t):
self.arm.set_mean_param(self.reward(t))
self.mean = self.arm.mean
draw = self.arm.draw(t)
return draw
[docs]class RestlessBernoulli(RestlessArm):
[docs] def __init__(self, rewardFunction):
arm = Bernoulli(0)
super(RestlessBernoulli, self).__init__(rewardFunction, arm)
[docs]class RestlessBinomial(RestlessArm):
[docs] def __init__(self, rewardFunction, draws=1):
arm = Binomial(0, draws)
super(RestlessBinomial, self).__init__(rewardFunction, arm)
[docs]class RestlessConstant(RestlessArm):
[docs] def __init__(self, rewardFunction):
arm = Constant(0)
super(RestlessConstant, self).__init__(rewardFunction, arm)
[docs]class RestlessExponential(RestlessArm):
[docs] def __init__(self, rewardFunction):
arm = UnboundedExponential(1)
super(RestlessExponential, self).__init__(rewardFunction, arm)
[docs]class RestlessGaussian(RestlessArm):
[docs] def __init__(self, rewardFunction, sigma=1):
arm = UnboundedGaussian(0, sigma)
super(RestlessGaussian, self).__init__(rewardFunction, arm)
[docs]class RestlessPoisson(RestlessArm):
[docs] def __init__(self, rewardFunction, sigma=1):
arm = UnboundedPoisson(0)
super(RestlessPoisson, self).__init__(rewardFunction, arm)
if __name__ == '__main__':
restless_bernoulli = RestlessBernoulli(lambda x :sin(x)**2)
restless_gaussian = RestlessGaussian(lambda x :sin(x)**2)
restless_binomial = RestlessBinomial(lambda x :sin(x)**2, draws=10)
print([sin(t)**2 for t in range(50)])
print([restless_gaussian.draw(t) for t in range(50)])
print([restless_bernoulli.draw(t) for t in range(50)])
print([restless_binomial.draw(t) for t in range(50)])


Return
Graph Plots
Add exercises that you would like to visualize:
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kdialog
Show KDE dialog boxes from within shell scripts.
More information: home page
- Open a dialog box displaying a specific message:
kdialog --msgbox "message" "optional_detailed_message"
- Open a question dialog with a `yes` and `no` button, returning `0` and `1`, respectively:
kdialog --yesno "message"
- Open a warning dialog with a `yes`, `no`, and `cancel` button, returning `0`, `1`, or `2` respectively:
kdialog --warningyesnocancel "message"
- Open an input dialog box and print the input to `stdout` when `OK` is pressed:
kdialog --inputbox "message" "optional_default_text"
- Open a dialog to prompt for a specific password and print it to `stdout`:
kdialog --password "message"
- Open a dialog containing a specific dropdown menu and print the selected item to `stdout`:
kdialog --combobx "message" "item1" "item2" "home page.."
- Open a file chooser dialog and print the selected file's path to `stdout`:
kdialog --getopenfilename
- Open a progressbar dialog and print a DBUS reference for communication to `stdout`:
kdialog --progressbar "message"


We provide the opportunity to prepare for life
The Path to Success.
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The java Manual says “By convention, classes that implement this interface should override Object.clone (which is protected) with a public method.”
Examples:
public class Foo implements Cloneable { @Override protected Object clone() throws CloneNotSupportedException { // Violation, must be public } } public class Foo implements Cloneable { @Override protected Foo clone() { // Violation, must be public } } public class Foo implements Cloneable { @Override public Object clone() // Ok }


Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block.
| Version: | 0.2.1 |
| Depends: | R (≥ 2.10.0) |
| Imports: | survival, glmnet, utils |
| Suggests: | testthat, knitr, rmarkdown, pROC |
| Published: | 2017-09-25 |
| Author: | Simon Klau, Roman Hornung |
| Maintainer: | Simon Klau <simonklau at ibe.med.uni-muenchen.de> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | prioritylasso results |
| Reference manual: | prioritylasso.pdf |
| Vignettes: |
prioritylasso Vignette |
| Package source: | prioritylasso_0.2.1.tar.gz |
| Windows binaries: | r-devel: prioritylasso_0.2.1.zip, r-release: prioritylasso_0.2.1.zip, r-oldrel: prioritylasso_0.2.1.zip |
| OS X binaries: | r-release: prioritylasso_0.2.1.tgz, r-oldrel: prioritylasso_0.2.1.tgz |
| Old sources: | prioritylasso archive |
Please use the canonical form https://CRAN.R-project.org/package=prioritylasso to link to this page.


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|
Velocity Tools
VelocityStruts
VelocityStruts Tools
Other Subprojects
|
|
ErrorsTool Reference Documentation
|
| |
This tool deals with Struts error messages. Errors may stem from the validation
of a submitted form or from the processing of a request. If there are errors,
they are made available to the view to render. A few important aspects about errors
are:
- Error message strings are looked up in the message resources. Support
for internationalized messages is provided.
- Error messages can have up to five replacement parameters.
- Errors have an attribute
property that describes the category of
error. This allows the view designer to place error messages precisely where an
error occurred. For example, errors that apply to the entire page can be rendered
at the top of the page, errors that apply to a specific input field can be rendered
next to this input field. Several methods of this tool provide a parameter
property that allows to select a specific category of errors to operate
on. Without the property parameter, methods operate on all error messages.
See the Struts User's Guide, section
Building View Components
for more information on this topic.
| Class |
| | org.apache.velocity.tools.struts.ErrorsTool |
| Name |
| | $errors (this is the recommended name of the tool in
the Velocity context) |
| Toolbox Configuration Example |
| | <tool>
<key>errors</key>
<scope>request</scope>
<class>org.apache.velocity.tools.struts.ErrorsTool</class>
</tool> |
| Author(s) |
| | Gabriel Sidler
|
- Method Overview
-
|
exist() |
Returns true if there are errors queued, otherwise false .
|
|
getSize() |
Returns the number of error messages queued.
|
|
getGlobal() |
This a convenience method and the equivalent of
$errors.get($errors.globalName)
|
|
getAll() |
Returns a list of localized error messages for all errors queued.
|
|
get() |
Returns a list of localized error messages for a particular category
of errors.
|
|
getMsgs() |
Renders the queued errors messages.
|
|
|
exist()
|
| |
Returns true if there are errors queued, otherwise false .
boolean exist(String property)
|
- Parameters
-
- property
-
The category of errors to check for.
- Returns
-
true if there are error messages queued. false otherwise.
Calling exist() without the property parameter checks for error messages of
any category. The property parameter can be used to limit the check to
error messages of a specific category.
$errors.exist()
$errors.exist("password")
|
|
|
|
getSize()
|
| |
Returns the number of error messages queued.
int getSize(String property)
|
- Parameters
-
- property
-
The category of errors to operate on.
- Returns
-
The number of error messages.
Calling getSize() without the property parameter returns the total
number of queued error messages. The property parameter can be used to
obtain the number of queued error messages for a specific category.
$errors.getSize()
$errors.size
$errors.getSize("password")
|
|
|
|
getGlobal()
|
| |
This a convenience method and the equivalent of
$errors.get($errors.globalName)
- Returns
-
A list of all errors stored under the "global" property.
See the section on get() for more information.
|
|
getAll()
|
| |
Returns a list of localized error messages for all errors queued.
List getAll(String bundle)
|
- Parameters
-
- bundle
-
The (non-default) message-resources bundle that holds the error messages.
- Returns
-
If the message resources are lacking an error message for a
particular message key, the key itself is used as an error message
and a warning is logged.
The following example shows a macro to render the error messages:
#macro (errorMarkup)
#if ($errors.exist())

#foreach ($e in $errors.all )

$e

#end

#end
#end
|
|
This produces output similar to the following:

The field Expiration Date is required.

The provided number is not a valid credit card number

|
|
|
|
get()
|
| |
Returns a list of localized error messages for a particular category
of errors.
List get(String property)
|
List get(String property, String bundle)
|
- Parameters
-
- property
-
The category of error messages to return.
- bundle
-
The (non-default) message-resources bundle that holds the error messages.
- Returns
-
A
java.util.List of java.lang.String .
If no error messages exist for the specified category,
null is returned.
If the message resources are lacking an error message for a
particular message key, the key itself is used as an error message
and a warning is logged.
The following example shows a macro to render the error messages for a
particular category of errors:
#macro (errorMarkup $property)
#if ($errors.exist($property))

#foreach ($er in $errors.get($property) )

$er

#end

#end
#end
|
|
This produces output similar to the following:

The field Expiration Date is required.

The provided number is not a valid credit card number

|
|
|
|
getMsgs()
|
| |
Renders the queued errors messages.
String getMsgs(String property)
|
String getMsgs(String property, String bundle)
|
- Parameters
-
- property
-
The category of errors messages to render.
- bundle
-
The (non-default) message-resources bundle that holds the error messages.
- Returns
-
The formatted error messages. If no errors are queued, an
empty
String is returned.
This method renders the queued error messages as a list. If the method
is called without a parameter, all queued errors are rendered. With the
parameter property the list of rendered messages can be
limited to a specific category of errors. Error message texts
are looked up in the message resources. If a message text
cannot be found, the message key will be displayed instead.
The method expects a message header, a message footer, a message prefix
and a message suffix to be defined in the message resources. The corresponding
message keys are errors.header , errors.footer ,
errors.prefix and errors.suffix .
Assuming that the message resources contain the following
definitions:
errors.header=Please correct the following errors before proceeding:

errors.footer=

errors.prefix=

errors.suffix=

error01=The field Expiration Date is required.
error02=The input is not a valid credit card number.
...
|
|
an error message would be rendered as follows:
Please correct the following errors before proceeding:

The field Expiration Date is required.

The input is not a valid credit card number.

|
|
|
|


Select your Identity Provider (IdP) Select an IdP that has your authentication data. SSOCircle is used as an public IdP for this sample project. We can either enable users to select an IdP (like what I did in this case) or we can configure and force an automatic means of IdP discovery.
Authenticate against the selected IdP This Authentication Service generates a SAML 2.0 authentication request, which is encoded and embedded into the URL for SSO service. After redirecting, you (user) must provide your credentials to authenticate against the selected IdP. So, please create an account in SSOCircle which is a very simple process or use my account (username: rezakhv - password: reza3004) to test the project.
Get back and see your login data The IdP returns the encoded SAML response to the browser. You will get back to the Authentication Service. If your identity is established by the IdP, you will be provided with app access and your profile data displayed in our Authentication Service.
Logout from your session You can now logout from the app. If enabled, you can also invoke the Single Logout (SLO) that invalidates client application sessions in addition to its own SSO session (IdP-side).


This post can be seen as an introduction to how nonconvex problems arise naturally in practice, and also the relative ease with which they are often solved.
I will talk about word embeddings, a geometric way to capture the “meaning” of a word via a low-dimensional vector. They are useful in many tasks in Information Retrieval (IR) and Natural Language Processing (NLP), such as answering search queries or translating from one language to another.
You may wonder: how can a 300-dimensional vector capture the many nuances of word meaning? And what the heck does it mean to “capture meaning?”
##Properties of Word Embeddings A simple property of embeddings obtained by all the methods I’ll describe is cosine similarity: the similarity between two words (as rated by humans on a $[-1,1]$ scale) correlates with the cosine of the angle between their vectors. To give an example, the cosine for milk and cow may be $0.6$, whereas for milk and stone it may be $0.2$, which is roughly the similarity human subjects assign to them.
A more interesting property of recent embeddings is that they can solve analogy relationships via linear algebra. For example, the word analogy question man : woman ::king : ?? can be solved by looking for the word $w$ such that $v_{king} - v_w$ is most similar to $v_{man} - v_{woman}$; in other words, minimizes
This simple idea can solve $75\%$ of analogy questions on some standard testbed. Note that the method is completely unsupervised: it constructs the embeddings using a big (unannotated) text corpus; and receives no training specific to analogy solving). Here is a rendering of this linear algebraic relationship between masculine-feminine pairs.
Good embeddings have other properties that will be covered in a future post. (Also, I can’t resist mentioning that fMRI-imaging of the brain suggests that word embeddings are related to how the human brain encodes meaning; see the well-known paper of Mitchell et al..)
##Computing Word embeddings (via Firth’s Hypothesis)
In all methods, the word vector is a succinct representation of the distribution of other words around this word. That this suffices to capture meaning is asserted by Firth’s hypothesis from 1957, “You shall know a word by the company it keeps.” To give an example, if I ask you to think of a word that tends to co-occur with cow, drink, babies, calcium, you would immediately answer: milk.
Note that we don’t believe Firth’s hypothesis fully accounts for all aspects of semantics —understanding new metaphors or jokes, for example, seems to require other modes of experiencing the real world than simply reading text.
But Firth’s hypothesis does imply a very simple word embedding, albeit a very high-dimensional one.
Embedding 1: Suppose the dictionary has $N$ distinct words (in practice, $N =100,000$). Take a very large text corpus (e.g., Wikipedia) and let $Count_5(w_1, w_2)$ be the number of times $w_1$ and $w_2$ occur within a distance $5$ of each other in the corpus. Then the word embedding for a word $w$ is a vector of dimension $N$, with one coordinate for each dictionary word. The coordinate corresponding to word $w_2$ is $Count_5(w, w_2)$. (Variants of this method involve considering cooccurence of $w$ with various phrases or $n$-tuples.)
The obvious problem with Embedding 1 is that it uses extremely high-dimensional vectors. How can we compress them?
Embedding 2: Do dimension reduction by taking the rank-300 singular value decomposition (SVD) of the above vectors.
Recall that for an $N \times N$ matrix $M$ this means finding vectors $v_1, v_2, \ldots, v_N \in \mathbb{R}^{300}$ that minimize
Using SVD to do dimension reduction seems an obvious idea these days but it actually is not. After all, it is unclear a priori why the above $N \times N$ matrix of cooccurance counts should be close to a rank-300 matrix. That this is the case was empirically discovered in the paper on Latent Semantic Indexing or LSI.
Empirically, the method can be improved by replacing the counts by their logarithm, as in Latent Semantic Analysis or LSA. Other authors claim square root is even better than logarithm. Another interesting empirical fact in the LSA paper is that dimension reduction via SVD not only compresses the embedding but improves its quality. (Improvement via compression is a familiar phenomenon in machine learning.) In fact they can use word vectors to solve word similarity tasks as well as the average American high schooler.
A research area called Vector Space Models (see survey by Turney and Pantel) studies various modifications of the above idea. Embeddings are also known to improve if we reweight the various terms in the above expression (2): popular reweightings include TF-IDF, PMI, Logarithm, etc.
Let me point out that reweighting the $(i, j)$ term in expression (1) leads to a weighted version of SVD, which is NP-hard. (I always emphasize to my students that a polynomial-time algorithm to compute rank-k SVD is a miracle, since modifying the problem statement in small ways makes it NP-hard.) But in practice, weighted SVD can be solved on a laptop in less than a day —remember, $N$ is rather large, about $10^5$!— by simple gradient descent on the objective (1), possibly also using a regularizer. (Of course, a lot has been proven about such gradient descent methods in context of convex optimization; the surprise is that they work also in such nonconvex settings.) Weighted SVD is a subcase of Matrix Factorization approaches in machine learning, which we will also encounter again in upcoming posts.
But returning to word embeddings, the following question had not been raised or debated, to the best of my knowledge: What property of human language explains the fact that these very high-dimensional matrices derived (in a nonlinear way) from word cooccurences are close to low-rank matrices? (In a future blog post I will describe our new theoretical explanation.)
The third embedding method I wish to describe uses energy-based models, for instance the Word2Vec family of methods from 2013 by the Google team of Mikolov et al., which also created a buzz due to the above-mentioned linear algebraic method to solve word analogy tasks. The word2vec models are inspired by pre-existing neural net models for language (basically, the word embedding corresponds to the neural net’s internal representation of the word; see this blog.). Let me describe the simplest variant, which assumes that the word vectors are related to word probabilities as follows:
Embedding 3 (Word2Vec(CBOW)):
where the left hand side gives the empirical probability that word $w$ occurs in the text conditional on the last five words being $w_1$ through $w_5$.
Assume we can estimate the left hand side using a large text corpus. Then expression (2) for the word vectors—together with a constraint capping the dimension of the vectors to, say, 300 — implicitly defines a nonconvex optimization problem which is solved in practice as follows. Let $S$ be the set of all the $6$-tuples of words that occur in the text. Let $N$ be a set of random $6$-tuples; this set is called the negative sample since presumably these tuples are gibberish. The method consists of finding word embeddings that give high probability to tuples in $S$ and low probability to tuples in $N$. Roughly speaking, they maximise the difference between the following two quantities: (i) sum of $\exp(v_w \cdot (\frac{1}{5} \sum_i v_{w_i}))$ (suitably scaled) over all $6$-tuples in $S$, and (ii) the corresponding sum over tuples in $N$. The word2vec team introduced some other tweaks that allowed them to solve this optimization for very large corpora containing 10 billion words.
The word2vec papers are a bit mysterious, and have motivated much followup work. A paper by Levy and Goldberg (See Omer Levy’s Blog) explains that the word2vec methods are actually modern versions of older vector space methods. After all, if you take logs of both sides of expression (2), you see that the logarithm of some cooccurence probability is being expressed in terms of inner products of some word vectors, which is very much in the spirit of the older work. (Levy and Goldberg have more to say about this, backed up by interesting experiments comparing the vectors obtained by various approaches.)
Another paper by Pennington et al. at Stanford suggests a model called GLOVE that uses an explicit weighted-SVD strategy for finding word embeddings. They also give an intuitive explanation of why these embeddings solve word analogy tasks, though the explanation isn’t quite rigorous.
In a future post I will talk more about our subsequent theoretical work that tries to unify these different approaches, and also explains some cool linear algebraic properties of word embeddings. I note that linear structure also arises in representations of images learnt via deep learning., and it is tantalising to wonder if similar theory applies to that setting.


Item #: SCP-1475-JP
Object Class: Safe
Special Containment Procedures: SCP-1475-JP is to be stored in a Low Threat Level Items Storage Locker located in Site-81██. Personnel performing experiments with SCP-1475-JP must gain permission from two Level 3 or more personnel, and must perform experiments outdoors. Also, experimenters must request Site-██ in North Carolina, United States to have personnel wait at the specified location. It is restricted to use SCP-1475-JP-13 in experiments.
Description: SCP-1475-JP is a wooden chair with the phrase “Welcome to America” carved into the backrest. Sample inspection revealed the material of the object as Cryptomeria japonica originated from Japan. 13 instances of SCP-1475-JP are currently contained by the Foundation.
SCP-1475-JP activates when a human being (Referred to as SCP-1475-JP-A) takes a seat on the object. The SCP-1475-JP-A instance will claim that they are unable to stand up from SCP-1475-JP, and from that time becomes invulnerable to any interference that would cause harm. Objects worn by the instance also share this anomalous durability, to a lesser extent. Experiments to shoot SCP-1475-JP-A down caused the instance's clothing to be scorched, showing durability applied to clothing weaker than that of SCP-1475-JP-A.
Approximately 3 minutes after the SCP-1475-A instance is created, the SCP-1475-JP instance will begin to vibrate1, before launching the instance of SCP-1475-JP-A at a speed of ████ km after approximately five seconds. Interestingly, no sonic boom has ever been observed in this process, despite the rapid acceleration induced on the subject. Upon collision with any obstacles in the path of the instance, SCP-1475-JP-A will instantly decelerate to a complete standstill, although no damage has been recorded to either the obstacle or the SCP-1475-JP-A instance. Observation with high-speed cameras revealed that SCP-1475-JP-A are launched in an upright position with a large flame appearing in front of the instance upon launch. The flame does not generate heat, does not spread to other objects, and ceases in about 5 seconds.
SCP-1475-JP-A retains their consciousness midair, and it is possible to communicate via any means of telecommunication. Also, SCP-1745-JP-A begins to pass through objects 20 seconds after injection, and becomes transparent from sight. SCP-1475-JP-A in this state can be recognized only by GPS device signals and/or means of telecommunication. This state of transparency is canceled 20 seconds ahead of impact.
Approximately 2 hours and 16 minutes after injection, all many of the SCP-1475-JP-As crash in an area of 20 m radius around ██████°N,██████°W, located in North Carolina, United States. After 3 seconds from impact, SCP-1475-JP-A loses its abnormal durability, and its sturdiness returns to that of a normal human. No craters are created at the moment of impact, and investigations are being made about where the vast amount of kinetic energy has gone to. The reason why North Carolina is the major impact site is yet undiscovered.
SCP-1475-JP was discovered after the Foundation became aware of a strange report to the police describing a vagrant that disappeared with an explosion. As agents approached to the scene to find SCP-1475-JP, detailed anomalies of the subject was identified when Agent Asuka mistakenly took a seat on SCP-1475-JP unaware of its anomalies, resulting in Incident 1475-JP-01. Witnesses were administered with class B amnesiacs. Agent Asuka, who crashed into North Carolina, made an interview to the shocked vagrant, revealing facts that SCP-1475-JP was thrown away as oversized trash, and that SCP-1475-JP-A can pass through objects without being discovered. 12 other instances of SCP-1475-JP were found from garbage dumps all over the country. No incidents by SCP-1475-JP were found to occur except for those associated with its initial containment.
Incident Log 1475-JP-02: On ██/██/20██, while performing experiments to confirm the anomaly of the newly contained SCP-1475-JP-13 found in Foundation waste disposal, Incident 1475-JP-02 occurred. The following audio recordings were recorded in Incident 1475-JP-02.
Subject: D-1475-04
Representative: Researcher Komono
Notes: Since the first half of the record is of low importance, the record starts after injection of D-1475-04 that became SCP-1475-JP-A. For convenience, D-1475-04 would be referred to by his D-class number.<Begin Log>
D-1475-04: H-hey! What’s this, I’m f-fl-flying! Fast!Researcher Komono: D-1475-04, report your surroundings.
D-1475-04: What do you mean by report!? I can only see the sea! It’s high! It’s fast! I can’t move!Researcher Komono: Then keep waiting until……
D-1475-04: [Collision sound]Wow, something hit me. A bird or something…?
Researcher Komono: The 20 seconds…… has not passed. Well, did the collision affect you in……. What? The speed of the GPS signal dropped?
D-1475-04: Oh, I got something off in the clash earlier. Was it the GPS device?
Researcher Komono: ……Yes. It is a slightly unexpected situation, but continue with the flight. Foundation personnel are waiting at the impact site.
D-1475-04: Wait, did you say “impact” right now!? Hey, tell me what’s going to happen!
[Conversation of little importance omitted for two hours]
D-1475-04: [Crashing sound]Owwch! That killed me…… not? Where is it here?
Researcher Komono: It’s North Carolina of the United States. Make contact with the Foundation personnel nearby and……
D-1475-04: There’s nobody around.
Researcher Komono: Is it true? But it can’t be……
D-1475-04: No, there’s no one here. Not a sight.
Researcher Komono: ……D-1475-04, explore the vicinity for a while. Agent Asuka, send an emergency telegram to Site-██ immediately!
D-1475-04: H-hey, is anything wrong?
Researcher Komono: No, we will head there to collect you. Is there anything nearby that stands out?
D-1475-04: Um, there’s nothing… wait, I can see some lights over there! Should I go?
Researcher Komono: Yes, definitely.
[Silence for 20 minutes. Emergency telegram sent to Site-██ at this point]D-1475-04: Now I can see the light nearby! It was a streetlamp. I can see a big road around.
Researcher Komono: Is there anything nearby that stands out now?
D-1475-04: Not much, but there’s a sign! With place names written on it!
Researcher Komono: Then approach and confirm your location.
D-1475-04: Okay. [Silence] ……Hey!  You lied to me!
Researcher Komono: What is the matter?
D-1475-04: This isn’t North Carolina at all. It’s South Carolina!
<End Log>
D-1475-04 was then found in ██████, South Carolina, by personnel of Site-██. Additional experiments with SCP-1475-JP-13 affirmed that the object launches persons towards North Carolina 97% of all times, South Carolina 2%, and West Virginia 1%. Since there are possibilities of other impact locations, experiments with SCP-1475-JP-13 are now forbidden.


Security
Authentication
ASP.NET Core has amazing built-in support for authentication. Review the docs for specific implementation details. Falco includes some authentication utilities.
open Falco.Security
// Allow only authenticated access
let secureResourceHandler : HttpHandler =
let handleAuth : HttpHandler =
Response.ofPlainText "hello authenticated user"
let handleInvalid : HttpHandler =
Response.withStatusCode 403
>> Response.ofPlainText "Forbidden"
Request.ifAuthenticated handleAuth handleInvalid
// Allow only non-authenticated access
let anonResourceOnlyHandler : HttpHandler =
let handleAnon : HttpHandler =
Response.ofPlainText "hello anonymous"
let handleInvalid : HttpHandler =
Response.withStatusCode 403
>> Response.ofPlainText "Forbidden"
Request.ifNotAuthenticated handleAnon handleInvalid
// Allow only authenticated access when in certain role(s)
let secureResourceHandler : HttpHandler =
let handleAuthInRole : HttpHandler =
Response.ofPlainText "hello admin"
let handleInvalid : HttpHandler =
Response.withStatusCode 403
>> Response.ofPlainText "Forbidden"
let rolesAllowed = [ "Admin" ]
Request.ifAuthenticatedInRole rolesAllowed handleAuthInRole handleInvalid
// Allow only authenticated acces with a certain scope
let secureResourceHandler : HttpHandler =
let handleAuthHasScope : HttpHandler =
Response.ofPlainText "user1, user2, user3"
let handleInvalid : HttpHandler =
Response.withStatusCode 403
>> Response.ofPlainText "Forbidden"
let issuer = "https://oauth2issuer.com"
let scope = "read:users"
Request.ifAuthenticatedWithScope issuer scope handleAuthHasScope handleInvalid
// Terminate authenticated session
let logOut : HttpHandler =
let authScheme = "..."
let redirectTo = "/login"
Response.signOutAndRedirect authScheme redirectTo
// Host configuration
[<EntryPoint>]
let main args =
webHost args {
// rest omitted
use_authentication
// rest omitted
}
Cross-site Scripting (XSS) Attacks
Cross-site scripting attacks are extremely common since they are quite simple to carry out. Fortunately, protecting against them is as easy as performing them.
The Microsoft.AspNetCore.Antiforgery package provides the required utilities to easily protect yourself against such attacks.
Falco provides a few handlers via Falco.Security.Xss
:
To use the Xss helpers, ensure the service has been registered using
add_antiforgery
in thewebHost {}
expression.
open Falco.Markup
open Falco.Security
let formView token =
Elem.html [] [
Elem.body [] [
Elem.form [ Attr.method "post" ] [
Elem.input [ Attr.name "first_name" ]
Elem.input [ Attr.name "last_name" ]
// using the CSRF HTML helper
Xss.antiforgeryInput token
Elem.input [ Attr.type' "submit"; Attr.value "Submit" ]
]
]
]
// A handler that demonstrates obtaining a
// CSRF token and applying it to a view
let csrfViewHandler : HttpHandler =
formView
|> Response.ofHtmlCsrf
// A handler that demonstrates validating
// the request's CSRF token
let mapFormSecureHandler : HttpHandler =
let mapPerson (form : FormCollectionReader) =
{ FirstName = form.GetString "first_name" "John" // Get value or return default value
LastName = form.GetString "first_name" "Doe" }
let handleInvalid : HttpHandler =
Response.withStatusCode 400
>> Response.ofEmpty
Request.mapFormSecure mapPerson Response.ofJson handleInvalid
// Host configuration
[<EntryPoint>]
let main args =
webHost args {
// rest omitted
add_antiforgery
// rest omitted
}
Cryptography
Many sites have the requirement of a secure log in and sign up (i.e. registering and maintaining a user's database). Thus, generating strong hashes and random salts is important.
open Falco.Security
// Generating salt,
// using System.Security.Cryptography.RandomNumberGenerator,
// create a random 16 byte salt and base 64 encode
let salt = Crypto.createSalt 16
// Generate random int for iterations
let iterations = Crypto.randomInt 10000 50000
// Pbkdf2 Key derivation using HMAC algorithm with SHA256 hashing function
let password = "5upe45ecure"
let hashedPassword = password |> Crypto.sha256 iterations 32 salt


Prostitution Will Decrease The Rate Of Unemployment Amongst The Youth, It Should Be Legalized – Singer Advises (+Video)
by vanessa nordziFast rising Ghanaian songstress, Naf Kassi has backed Fuse ODG on the need for the Government to decriminalize prostitution.
Speaking in an interview with Zionfelix on the ‘Uncut Show’, Naf Kassi revealed how beneficial it will be if Prostitutes are allowed to work without any harassment from the police.
According to Naf Kassi, apart from reducing the unemployment rate in the country, it will decrease the number of men cheating on their partners.
Naf Kassi asserted that men seeking the services of prostitutes would reduce the number of “side chicks” in the system.
However, Naf Kassi believes that adequate health screening tests must be done for these prostitutes to help reduce the spread of sexually transmitted diseases.
Strange assertion right? Well share your thoughts with us
Watch interview below;


{% extends "withoutnav_template.html" %} {% from "components/table.html" import mapping_table, row, text_field, edit_field, field %} {% from "components/sub-navigation.html" import sub_navigation %} {% block per_page_title %} Features {% endblock %} {% block maincolumn_content %}
GOV.UK Notify helps government services to:
You can use Notify if you’re running a service in:
You don’t need any technical knowledge to use Notify.
Create an account for free and try it yourself.
With Notify, you control the content and format of your messages. You can:
You can send messages straight away, or schedule them in advance.
Notify commits to:
Through the Notify dashboard, you can:
With Notify, you can:
Through the Notify dashboard, you can:
You can integrate with our API to automatically send messages through Notify when relevant data changes in your systems.
This means you don’t have to manually download data from your system and upload it to Notify to send a message.
Check our code libraries for more information on how to integrate with Notify.
Notify sends messages through multiple providers. If one provider fails, Notify automatically switches to another so that your messages aren’t affected.
{% endblock %}


A positive fact or inspiring story straight to your inbox every day.
Why
The world is not ending. 2016 was not the worst year of all time. It was the best. 2017 will be even better. In fact, every year the world gets better and better. Life expectancy is increasing, poverty rates are plummeting and famine is becoming a thing of the past.
Almost everybody thinks the world is getting worse. In fact, only 6% of Americans think the world is getting better. Daily Dose of Positivity is here to help people understand that the world really is getting better. Hopefully, by taking 30 seconds out of your day, you can start to appreciate all of the incredible things about life today.


function main (string[] args) {
Time time = currentTime();
int currentTimeMills = time.time;
println("Current system time in milliseconds: " + currentTimeMills);
Time timeCreated = createTime(2017, 3, 28, 23, 42, 45, 554, "America/Panama");
println("Created Time: " + timeCreated.toString());
Time t1 = parse("2017-06-26T09:46:22.444-0500", "yyyy-MM-dd'T'HH:mm:ss.SSSZ");
println("Parsed Time: " + t1.toString());
string standardTimeString = time.toString();
println("Current system time in ISO format: " + standardTimeString);
string customTimeString = time.format("yyyy-MM-dd-E");
println("Current system time in custom format: " + customTimeString);
int year = time.year();
println("Year: " + year);
int month = time.month();
println("Month: " + month);
int day = time.day();
println("Day: " + day);
int hour = time.hour();
println("Hour: " + hour);
int minute = time.minute();
println("Minute: " + minute);
int second = time.second();
println("Second: " + second);
int milliSecond = time.milliSecond();
println("Millisecond: " + milliSecond);
string weekday = time.weekday();
println("Weekday: " + weekday);
year, month, day = time.getDate();
println("Date: " + year + ":" + month + ":" + day);
hour, minute, second, milliSecond = time.getTime();
println("Time:" + hour + ":" + minute + ":" + second + ":" + milliSecond);
Time tmAdd = time.addDuration(1, 1, 0, 0, 0, 1, 0);
println("After add duration: " + tmAdd.toString());
Time tmSub = time.subtractDuration(1, 1, 0, 0, 0, 1, 0);
println("After subtract duration: " + tmSub.toString());
Time t2 = createTime(2017, 3, 28, 23, 42, 45, 554, "America/Panama");
println("Before convert zone: " + t2.toString());
Time t3 = t2.toTimezone("Asia/Colombo");
println("After convert zone:" + t3.toString());
}
|
Ballerina Date time API is used to manipulate date and time related data. |
function main (string[] args) {
|
|
Time struct can be created by currentTime, createTime or parse functions. Get the current time. |
Time time = currentTime();
int currentTimeMills = time.time;
println("Current system time in milliseconds: " + currentTimeMills);
|
|
Create a time with the required year, month ,date, time and zone information. |
Time timeCreated = createTime(2017, 3, 28, 23, 42, 45, 554, "America/Panama");
println("Created Time: " + timeCreated.toString());
|
|
Returns the time for the given string representation based on the given format string. |
Time t1 = parse("2017-06-26T09:46:22.444-0500", "yyyy-MM-dd'T'HH:mm:ss.SSSZ");
println("Parsed Time: " + t1.toString());
|
|
String representation of time can be retrieved via toString or format functions.Get the ISO 8601 formatted string of a given time. |
string standardTimeString = time.toString();
println("Current system time in ISO format: " + standardTimeString);
|
|
Get the formatted string of a given time. |
string customTimeString = time.format("yyyy-MM-dd-E");
println("Current system time in custom format: " + customTimeString);
|
|
Information of time can be retrieved via following functions.Get the year of a given time. |
int year = time.year();
println("Year: " + year);
|
|
Get the month of a given time. |
int month = time.month();
println("Month: " + month);
|
|
Get the day of a given time. |
int day = time.day();
println("Day: " + day);
|
|
Get the hour of a given time. |
int hour = time.hour();
println("Hour: " + hour);
|
|
Get the minute of a given time. |
int minute = time.minute();
println("Minute: " + minute);
|
|
Get the second of a given time. |
int second = time.second();
println("Second: " + second);
|
|
Get the milli second of a given time. |
int milliSecond = time.milliSecond();
println("Millisecond: " + milliSecond);
|
|
Get the week day of a given time. |
string weekday = time.weekday();
println("Weekday: " + weekday);
|
|
Get date components of time using a single function. |
year, month, day = time.getDate();
println("Date: " + year + ":" + month + ":" + day);
|
|
Get time components using a single function. |
hour, minute, second, milliSecond = time.getTime();
println("Time:" + hour + ":" + minute + ":" + second + ":" + milliSecond);
|
|
Add a given duration to the time. Here we are adding one year, one month and one second to the current time. |
Time tmAdd = time.addDuration(1, 1, 0, 0, 0, 1, 0);
println("After add duration: " + tmAdd.toString());
|
|
Subtract a given duration from the time. Here we are subtracting one year, one month and one second from the current time. |
Time tmSub = time.subtractDuration(1, 1, 0, 0, 0, 1, 0);
println("After subtract duration: " + tmSub.toString());
|
|
Convert to a different time zone. |
Time t2 = createTime(2017, 3, 28, 23, 42, 45, 554, "America/Panama");
println("Before convert zone: " + t2.toString());
Time t3 = t2.toTimezone("Asia/Colombo");
println("After convert zone:" + t3.toString());
}
|
$ ballerina run date-time.bal
Current system time in milliseconds:<PHONE_NUMBER>117
Created Time: 2017-03-28T23:42:45.554-05:00
Parsed Time: 2017-06-26T09:46:22.444-05:00
Current system time in ISO format: 2017-10-27T22:10:56.117+05:30
Current system time in custom format: 2017-10-27-Fri
Year: 2017
Month: 10
Day: 27
Hour: 22
Minute: 10
Second: 56
Millisecond: 117
Weekday: FRIDAY
Date: 2017:10:27
Time:22:10:56:117
After add duration: 2018-11-27T22:10:57.117+05:30
After subtract duration: 2016-09-27T22:10:55.117+05:30
Before convert zone: 2017-03-28T23:42:45.554-05:00
After convert zone:2017-03-29T10:12:45.554+05:30
|
Next example: File API.


Mural basic functionality demo.
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Parallel programs have several control flow paths and produce large formulas during model checking. The platform we analysed did not pose threat of state space explosion since processes are scheduled to reduce the concurrent processes accessing same data. Tasks created by a processe are designed to operate on independent data block and process waits until all the task finish their job. Once all the tasks finish their operation, the process collects the results. To handle this kind of parallelism we modified CBMC libraries to treat each task creation as function calls. When multiple tasks are created once, we call the task one by one and order of the call does not affect the result since each task works on independent data blocks.


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