CrimPapers
Articles published on 8 April 2018
On 8 April 2018, 4 new articles were published in 2 journals.
The Association Between Experiences of Exclusionary Discipline and Justice System Contact: A Systematic Review
The Complex Experience of Child Pornography Survivors
Influence of Childhood Abuse and Neglect Subtypes on Late-Life Suicide Risk Beyond Depression
Common Components of Evidence-Based Parenting Programs For Preventing Maltreatment of School-Age Children


Conference Room Service
Professional Conference Room For Entrepreneurs
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Player Id Status Cards In Hand: Cards In Play: Cards In Graveyard: Cards In Deck:


title: We have now become a 3CX Partner link: http://www.flamelily.co.uk/2013/01/we-have-now-become-a-3cx-partner/ author: admin description: post_id: 435 created: 2013/01/21 13:57:25 created_gmt: 2013/01/21 13:57:25 comment_status: open post_name: we-have-now-become-a-3cx-partner status: publish post_type: post
We have now become a 3CX partner and can offer advice and support on all versions of the software. 3CX Phone System is a software-based IP PBX for Windows which replaces traditional PBX hardware phones. It is based on the SIP standard and supports standard SIP software / hardware phones. It allows calls to be made via a VOIP service provider or via the regular PSTN. Easy to install and configure, it includes a web-based configuration interface, voice mail, auto attendant, call hunting and other features. Both commercial and a free edition are available.


Hi
Designing/Programming Lady (Cat Enthusiast (✿◠‿◠))
Currently a junior, majoring in Digital Design and Minoring in Computer Science, at The City College of New York.
Former President of The Society of Women Engineers, Former Project Manager at the Zahn Innovation Center.
While I do enjoy coding and building iOS apps & simple front end websites, I like management, operations and logistics a little more!
Here are some facts:
I like to play ukulele.
I'm actually Canadian.
I can't swim.
Languages: HTML/CSS, PHP, Java, C++, Python, Objective-C, Japanese, Swift


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Start
Robot Nr. 1 _ Girl
Robot Nr. 2 _ Massive Attack
Random Image Generator
Results Image Generator
Lyrics Animation
Animation Kopf
Animation Fuss


{% load tags %} {% url 'home:index' as home %} {% url 'home:explorer' as explorer %} {% url 'home:preview' as preview %} {% url 'home:full' as full %} {% url 'home:weixin' as weixin %} {% url 'home:weibo' as weibo %} {% url 'home:zhihu' as zhihu %}


---
layout: post
title: Weekend coffee and shopping :)
tags:
- Shopping
status: publish
type: post
published: true
meta:
_edit_last: '2'
_aioseop_title: ! 'Weekend shopping '
_aioseop_keywords: ! 'weekend shopping, lush henna, '
_graphene_slider_img: global
_graphene_slider_imgurl: ''
_graphene_show_addthis: global
_wp_old_slug: weekend-coffee-and-shopping
_yoast_wpseo_linkdex: '0'
_thumbnail_id: '574'
---
Visited Forum mall, after a long time. Did some impulsive shopping got myself a stole, a jute bag and a jute makeup pouch, along with a LUSH visit.
Loved the Yellow bag, found it quite suitable for my office needs :)
Black pouch was an addition, I dont like things floating in my bag, every items has a case or a pouch, comes in quite handy :)
A blue color stole, a must need for drivers in metros :)
Last and most important the LUSH CACA MARRON , heard and read some really good reviews about the product.. I need to get over the highlights I had last year, review coming soon


--- layout: article title: Seminar article_header: type: cover image: src: /assets/images/cover/seminar-cover.png ---


To change your password, please provide your old password for verification and your preferred new password.
Make sure that your new password is at least 8 characters long.


{% extends "layouts/main.html" %} {% block body %}
| Account Number | Visit Date | Chief Complaint | Diagnosis | Procedure | Clinic | Provider | Notes |
|---|---|---|---|---|---|---|---|
| {{ row['medicalRecordNumber'] }} | {{ row['visitDate'] }} | {{ row['chiefComplaint'] }} | {{ row['diagnosisName'] }} | {{ row['procedureName'] }} | {{ row['clinicName'] }} | {{ row['PCP'] }} | {{ row['providerNotes'] }} |
| Account Number | Patient Name | Patient Clinic Name | Delete Relation |
|---|---|---|---|


Here is IRAN-HAMADAN
Hamadan province with 20, 172 kilometers measurement is one
of the western provinces in IRAN. The capital of this province
is Hamadan city with the historical antecedent from 7 century BC.
Laljin district, one of the Hamadan district with the extensive
equal to 508 square kilometers at the 48 degrees longitude and 29
minutes eastern, 24 degrees latitude and 50 minutes northern and
with 990 meters of height from the sea level has been located in 21
kilometers of the northwestern of Hamadan.
There are numerous mines of high quality of clay in Laljin zone
and because of that the production of earthenware (baked clay)
have many flourish and 80 percent of the residents are engaged on
the production and selling of earthenware in Laljin zone of Hamadan.
There are 848 workshops in Laljin that approximately 45000
persons work in these workshops. Each workshop consumes 70
tons of clay in a year on the average and about 6000 tons of clay
is consumed in these workshops yearly.
All of the earthenware productions of this region are made in traditional
method and are entirely by hands by the craftsmen and the workmen.


Data Scientist / Applied Mathematician - Santa Cruz, CA 95060
Fullpower® designs, develops and operates a complete platform for hybrid Edge/Cloud AI, algorithms, big data, predictive analytics, together with end-to-end engineering services. The Company’s platform is backed by a patent portfolio of 125+ patents. The Company’s key areas of expertise are bio-sensing, non-invasive PSG-level sleep technology. The Company’s markets are in Medical Solutions, Clinical Trials, SmartHome and Wearable. Fast growing with endless opportunities, come join the Fullpower world-class team.
Fullpower is looking for a passionate, team-oriented, and self-motivated Data Scientist/Applied Mathematician.
Responsibilities:
Work with health data and time-series sensor data
Design machine learning and statistical models and inference algorithms
-
Develop visualizations and tools for understanding and annotating data
Optimize algorithms for running on embedded devices and in the cloud
Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions
Software skills:
-
Expertise in Python and packages such as Pandas, Scikit-learn, etc.
-
Experience working with databases including familiarity with SQL
-
Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
-
Experience with Amazon Web Services (AWS) or Google Cloud is a plus
Leadership qualities:
-
Self starter
-
Strong interpersonal and communication skills
Education:
-
Bachelor’s degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
Experience:
-
Experience applying data science and machine learning to real-world problems
Other requirements:
- Fullpower does not sponsor work visas - must already be authorized to work in the United States


| Methods in storm.trident that return Stream |
protected Stream |
TridentTopology.addNode(Node n)
|
protected Stream |
TridentTopology.addSourcedNode(List<Stream> sources,
Node newNode)
|
protected Stream |
TridentTopology.addSourcedNode(Stream source,
Node newNode)
|
Stream |
Stream.aggregate(Aggregator agg,
Fields functionFields)
|
Stream |
Stream.aggregate(CombinerAggregator agg,
Fields functionFields)
|
Stream |
Stream.aggregate(Fields inputFields,
Aggregator agg,
Fields functionFields)
|
Stream |
Stream.aggregate(Fields inputFields,
CombinerAggregator agg,
Fields functionFields)
|
Stream |
Stream.aggregate(Fields inputFields,
ReducerAggregator agg,
Fields functionFields)
|
Stream |
Stream.aggregate(ReducerAggregator agg,
Fields functionFields)
|
Stream |
Stream.applyAssembly(Assembly assembly)
|
Stream |
Stream.batchGlobal()
|
Stream |
Stream.broadcast()
|
Stream |
Stream.each(Fields inputFields,
Filter filter)
|
Stream |
Stream.each(Fields inputFields,
Function function,
Fields functionFields)
|
Stream |
Stream.each(Function function,
Fields functionFields)
|
Stream |
Stream.global()
|
Stream |
Stream.identityPartition()
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields)
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields,
JoinType type)
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields,
List<JoinType> mixed)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields,
JoinType type)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields,
List<JoinType> mixed)
|
Stream |
TridentTopology.merge(Fields outputFields,
List<Stream> streams)
|
Stream |
TridentTopology.merge(Fields outputFields,
Stream... streams)
|
Stream |
TridentTopology.merge(List<Stream> streams)
|
Stream |
TridentTopology.merge(Stream... streams)
|
Stream |
TridentTopology.multiReduce(Fields inputFields1,
GroupedStream s1,
Fields inputFields2,
GroupedStream s2,
GroupedMultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(Fields inputFields1,
Stream s1,
Fields inputFields2,
Stream s2,
MultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(GroupedStream s1,
GroupedStream s2,
GroupedMultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(List<Fields> inputFields,
List<GroupedStream> groupedStreams,
GroupedMultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(List<Fields> inputFields,
List<Stream> streams,
MultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(List<GroupedStream> streams,
GroupedMultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(List<Stream> streams,
MultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(Stream s1,
Stream s2,
MultiReducer function,
Fields outputFields)
|
Stream |
Stream.name(String name)
|
Stream |
TridentTopology.newDRPCStream(String function)
|
Stream |
TridentTopology.newDRPCStream(String function,
ILocalDRPC server)
|
Stream |
TridentTopology.newStream(String txId,
IBatchSpout spout)
|
Stream |
TridentTopology.newStream(String txId,
IOpaquePartitionedTridentSpout spout)
|
Stream |
TridentTopology.newStream(String txId,
IPartitionedTridentSpout spout)
|
Stream |
TridentTopology.newStream(String txId,
IRichSpout spout)
|
Stream |
TridentTopology.newStream(String txId,
ITridentSpout spout)
|
Stream |
TridentState.newValuesStream()
|
Stream |
Stream.parallelismHint(int hint)
|
Stream |
Stream.partition(CustomStreamGrouping partitioner)
|
Stream |
Stream.partition(Grouping grouping)
|
Stream |
Stream.partitionAggregate(Aggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionAggregate(CombinerAggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionAggregate(Fields inputFields,
Aggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionAggregate(Fields inputFields,
CombinerAggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionAggregate(Fields inputFields,
ReducerAggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionAggregate(ReducerAggregator agg,
Fields functionFields)
|
Stream |
Stream.partitionBy(Fields fields)
|
Stream |
Stream.project(Fields keepFields)
|
Stream |
Stream.shuffle()
|
Stream |
Stream.stateQuery(TridentState state,
Fields inputFields,
QueryFunction function,
Fields functionFields)
|
Stream |
Stream.stateQuery(TridentState state,
QueryFunction function,
Fields functionFields)
|
Stream |
Stream.toStream()
|
| Methods in storm.trident with parameters of type Stream |
protected Stream |
TridentTopology.addSourcedNode(Stream source,
Node newNode)
|
protected TridentState |
TridentTopology.addSourcedStateNode(Stream source,
Node newNode)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields,
JoinType type)
|
Stream |
TridentTopology.join(Stream s1,
Fields joinFields1,
Stream s2,
Fields joinFields2,
Fields outFields,
List<JoinType> mixed)
|
Stream |
TridentTopology.merge(Fields outputFields,
Stream... streams)
|
Stream |
TridentTopology.merge(Stream... streams)
|
Stream |
TridentTopology.multiReduce(Fields inputFields1,
Stream s1,
Fields inputFields2,
Stream s2,
MultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(Stream s1,
Stream s2,
MultiReducer function,
Fields outputFields)
|
| Method parameters in storm.trident with type arguments of type Stream |
protected Stream |
TridentTopology.addSourcedNode(List<Stream> sources,
Node newNode)
|
protected TridentState |
TridentTopology.addSourcedStateNode(List<Stream> sources,
Node newNode)
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields)
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields,
JoinType type)
|
Stream |
TridentTopology.join(List<Stream> streams,
List<Fields> joinFields,
Fields outFields,
List<JoinType> mixed)
|
Stream |
TridentTopology.merge(Fields outputFields,
List<Stream> streams)
|
Stream |
TridentTopology.merge(List<Stream> streams)
|
Stream |
TridentTopology.multiReduce(List<Fields> inputFields,
List<Stream> streams,
MultiReducer function,
Fields outputFields)
|
Stream |
TridentTopology.multiReduce(List<Stream> streams,
MultiReducer function,
Fields outputFields)
|
protected void |
TridentTopology.registerSourcedNode(List<Stream> sources,
Node newNode)
|
| Methods in storm.trident.fluent that return Stream |
Stream |
GroupedStream.aggregate(Aggregator agg,
Fields functionFields)
|
Stream |
GroupedStream.aggregate(CombinerAggregator agg,
Fields functionFields)
|
Stream |
GroupedStream.aggregate(Fields inputFields,
Aggregator agg,
Fields functionFields)
|
Stream |
GroupedStream.aggregate(Fields inputFields,
CombinerAggregator agg,
Fields functionFields)
|
Stream |
GroupedStream.aggregate(Fields inputFields,
ReducerAggregator agg,
Fields functionFields)
|
Stream |
GroupedStream.aggregate(ReducerAggregator agg,
Fields functionFields)
|
Stream |
IChainedAggregatorDeclarer.chainEnd()
|
Stream |
ChainedAggregatorDeclarer.chainEnd()
|
Stream |
ChainedAggregatorDeclarer.AggregationPartition.partition(Stream input)
|
Stream |
GroupedStream.stateQuery(TridentState state,
Fields inputFields,
QueryFunction function,
Fields functionFields)
|
Stream |
GroupedStream.stateQuery(TridentState state,
QueryFunction function,
Fields functionFields)
|
Stream |
IAggregatableStream.toStream()
|
Stream |
GroupedStream.toStream()
|


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Credits
Find all cited sources here
All Images were labelled for reuse with modification.
Much of DigitAir's design components were borrowed from the following sources
The following two fonts were used in the front-page animation:
This website was designed by a duo of developers from Tekamah, Nebraska, and submitted for competition in the 2020 Nebraska State FBLA Compeition. Lucas Niewohner, Developer, and Isabella Jetensky, Designer, achieved some success in that competition, and despite challenges related to the COVID-19 pandemic, their brainchild will soon be competiting at the national level when the National Leadership Competition (NLC) begins judging. Wish them luck!


How Life Is For Life
Life is for life when
Some help other in danger
That is to serve when
They use their brain for other
And advance in body and mind


Gecode::Search Namespace Reference
Search engines More...
Namespaces | |
| namespace | Par |
| namespace | Seq |
| namespace | Sequential |
Sequential search engine implementations | |
| namespace | Parallel |
Parallel search engine implementations | |
| namespace | Meta |
Meta search engine implementations | |
| namespace | Config |
Search configuration | |
Classes | |
| class | BabBuilder |
| A BAB engine builder. More... | |
| class | DfsBuilder |
| A DFS engine builder. More... | |
| class | UninitializedCutoff |
| Exception: Uninitialized cutoff for restart-based search More... | |
| class | NoAssets |
| Exception: No assets requested for portfolio-based search More... | |
| class | MixedBest |
| Exception: Mixed non-best and best solution search requested More... | |
| class | NoBest |
| Exception: Best solution search is not supported More... | |
| class | LdsBuilder |
| A DFS engine builder. More... | |
| class | NoNGL |
| Class for a sentinel no-good literal. More... | |
| class | NoGoodsProp |
| No-good propagator. More... | |
| class | PbsBuilder |
| A PBS engine builder. More... | |
| class | RbsBuilder |
| A RBS engine builder. More... | |
| class | WorkerToEngine |
| Virtualize a worker to an engine. More... | |
| class | WrapTraceRecorder |
| Recorder for engine events (for access control). More... | |
| class | TraceRecorder |
| Simple recorder for a search tracer. More... | |
| class | EdgeTraceRecorder |
| Recorder for a search tracer with edge information. More... | |
| class | NoTraceRecorder |
| Empty trace recorder. More... | |
| class | Worker |
| Search worker statistics More... | |
| class | Statistics |
| Search engine statistics More... | |
| class | Cutoff |
| Base class for cutoff generators for restart-based meta engine. More... | |
| class | CutoffConstant |
| Cutoff generator for constant sequence. More... | |
| class | CutoffLinear |
| Cutoff generator for linear sequence. More... | |
| class | CutoffLuby |
| Cutoff generator for the Luby sequence. More... | |
| class | CutoffGeometric |
| Cutoff generator for the geometric sequence. More... | |
| class | CutoffRandom |
| Cutoff generator for the random sequence. More... | |
| class | CutoffAppend |
| Cutoff generator appending two cutoff generators. More... | |
| class | CutoffMerge |
| Cutoff generator merging two cutoff generators. More... | |
| class | CutoffRepeat |
| Cutoff generator that repeats a cutoff from another cutoff generator. More... | |
| class | Options |
| Search engine options More... | |
| class | Stop |
| Base-class for Stop-object. More... | |
| class | NodeStop |
| Stop-object based on number of nodes More... | |
| class | FailStop |
| Stop-object based on number of failures More... | |
| class | TimeStop |
| Stop-object based on time More... | |
| class | Engine |
| Search engine implementation interface More... | |
| class | Base |
| Base-class for search engines. More... | |
| class | Builder |
| A class for building search engines. More... | |
Functions | |
| Engine * | babengine (Space *s, const Options &o) |
| Create branch and bound engine. | |
| template<class T , class E > | |
| Engine * | build (Space *s, const Options &opt) |
| Build an engine of type E for a script T. | |
| Engine * | dfsengine (Space *s, const Options &o) |
| Create depth-first engine. | |
| Engine * | ldsengine (Space *s, const Options &o) |
| Create lds engine. | |
| NGL * | disposenext (NGL *ngl, Space &home, Propagator &p, bool c) |
| Help function to cancel and dispose a no-good literal. | |
| template<class T , template< class > class E> | |
| Engine * | pbsseq (T *master, const Search::Statistics &stat, Options &opt) |
| template<class T , template< class > class E> | |
| Engine * | pbsseq (T *master, SEBs &sebs, const Search::Statistics &stat, Options &opt, bool best) |
| template<class T , template< class > class E> | |
| Engine * | pbspar (T *master, const Search::Statistics &stat, Options &opt) |
| template<class T , template< class > class E> | |
| Engine * | pbspar (T *master, SEBs &sebs, const Search::Statistics &stat, Options &opt, bool best) |
| template<class VarArgs , class Post > | |
| void | relax (Home home, const VarArgs &x, const VarArgs &sx, Rnd r, double p, Post &post) |
| Relax variables in x from solution sx with probability p. | |
| Space * | snapshot (Space *s, const Options &o) |
| Clone space s dependening on options o. |
Detailed Description
Search engines
Function Documentation
| Engine * Gecode::Search::babengine | ( | Space * | s, | |
| const Options & | o | |||
| ) |
Create branch and bound engine.
template<class T , class E >
| Engine * Gecode::Search::build | ( | Space * | s, | |
| const Options & | opt | |||
| ) | [inline] |
| Engine * Gecode::Search::dfsengine | ( | Space * | s, | |
| const Options & | o | |||
| ) |
Create depth-first engine.
| Engine * Gecode::Search::ldsengine | ( | Space * | s, | |
| const Options & | o | |||
| ) |
Create lds engine.
| NGL* Gecode::Search::disposenext | ( | NGL * | ngl, | |
| Space & | home, | |||
| Propagator & | p, | |||
| bool | c | |||
| ) | [inline] |
Help function to cancel and dispose a no-good literal.
Definition at line 40 of file nogoods.cpp.
template<class T , template< class > class E>
| Engine* Gecode::Search::pbsseq | ( | T * | master, | |
| const Search::Statistics & | stat, | |||
| Options & | opt | |||
| ) | [inline] |
template<class T , template< class > class E>
| Engine* Gecode::Search::pbsseq | ( | T * | master, | |
| SEBs & | sebs, | |||
| const Search::Statistics & | stat, | |||
| Options & | opt, | |||
| bool | best | |||
| ) | [inline] |
template<class T , template< class > class E>
| Engine* Gecode::Search::pbspar | ( | T * | master, | |
| const Search::Statistics & | stat, | |||
| Options & | opt | |||
| ) | [inline] |
template<class T , template< class > class E>
| Engine* Gecode::Search::pbspar | ( | T * | master, | |
| SEBs & | sebs, | |||
| const Search::Statistics & | stat, | |||
| Options & | opt, | |||
| bool | best | |||
| ) | [inline] |
template<class VarArgs , class Post >
| void Gecode::Search::relax | ( | Home | home, | |
| const VarArgs & | x, | |||
| const VarArgs & | sx, | |||
| Rnd | r, | |||
| double | p, | |||
| Post & | post | |||
| ) | [inline] |
| Space * Gecode::Search::snapshot | ( | Space * | s, | |
| const Options & | o | |||
| ) | [inline] |
Clone space s dependening on options o.
Definition at line 71 of file support.hh.


{% load static %}
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LETTER: The teachers union wants another $1 billion
by Janet Raggi, Las VegasI used to exaggerate when saying you could give teachers union officials $1 billion over and above anything they ask for each year and, before mid-budget cycle, they’d tip their hands for more because it’s “for the children,” don’t you know. Well, well, well, someone has been reading my posts and saying, “Yeah, let’s get a billion” (“Push for school tax,” Wednesday Review-Journal).
Someone, anyone, explain to me why Florida teachers do not have anywhere near the pay scale of Nevada teachers, and yet Florida schools are ranked demonstrably higher than Nevada could ever dream of. It isn’t the money, it’s the unions — and I am sick and tired of unions wagging the dog.
No taxpayer-funded entity should ever be allowed to unionize. It is fraught with fraud. Period. End. Of. Story.


fasper.gm
Interface GMParserTokenTypes
- All Known Implementing Classes:
- GMParser
public interface GMParserTokenTypes
GMParser is used for parsing the test files. The role of a test file is to
keep golden model (expected tree) & activation in one place.
In this case a test file has next format:
dutActivationClass myparser.MyParserActivation
argTypeAndValue java.lang.String #"e_0.e"#
-->
[C_PROGRAM, #"top: a_c.c"#]
|--[C_MODULE, #"module: a_c.c"#]
| | |--[LITERAL_struct, #"struct"#]
| | | |--[ID, #"s_1"#]
| | |--[LITERAL_struct, #"struct"#]
| | | |--[ID, #"s_2"#]
On the short :
- strings are enclosed in #"a_string"#
- dutActivationClass : activates the parser under test. This class must
implement fasper.base.Activation
- argTypeAndValue : pair type-value. The type must be used with
full path eg. java.lang.String.
As you can see the structure of the golden model tree is very similar to
the one displayed by the ASTFrame.
- Author:
-<EMAIL_ADDRESS>EOF
static final int EOF
- See Also:
- Constant Field Values
NULL_TREE_LOOKAHEAD
static final int NULL_TREE_LOOKAHEAD
- See Also:
- Constant Field Values
START
static final int START
- See Also:
- Constant Field Values
TEST_LIST
static final int TEST_LIST
- See Also:
- Constant Field Values
TEST
static final int TEST
- See Also:
- Constant Field Values
OUT
static final int OUT
- See Also:
- Constant Field Values
LITERAL_dutActivationClass
static final int LITERAL_dutActivationClass
- See Also:
- Constant Field Values
ID
static final int ID
- See Also:
- Constant Field Values
LITERAL_argTypeAndValue
static final int LITERAL_argTypeAndValue
- See Also:
- Constant Field Values
STRING
static final int STRING
- See Also:
- Constant Field Values
STARTGM
static final int STARTGM
- See Also:
- Constant Field Values
ENDGM
static final int ENDGM
- See Also:
- Constant Field Values
VLINE
static final int VLINE
- See Also:
- Constant Field Values
LBRACK
static final int LBRACK
- See Also:
- Constant Field Values
COMMA
static final int COMMA
- See Also:
- Constant Field Values
RBRACK
static final int RBRACK
- See Also:
- Constant Field Values


An identity is a collection of attributes about an entity that distinguish it from other entities. Entities are anything with distinct existence, such as people, organizations, concepts, or devices. Some entities, such as people, are multifaceted, having multiple identities that they present to the world. People are often able to establish trust by demonstrating that others have made valuable claims about their identities. One way of doing this is by presenting a credential. A credential is a set of claims made by an entity about an identity. A credential may refer to a qualification, achievement, quality, or other information about an identity such as a name, government ID, home address, or university degree that typically indicates suitability.
This specification describes how to express a digital identity and a collection of digital credentials that assert claims about that identity. It also describes a set of mechanisms for issuing and requesting credentials.
This is an experimental specification that is attempting to unify the work performed in the Credentials Community Group, the Web Payments Community Group, the Linked Data community, the WebID Community Group, and the Mozilla Persona team. As such, the specification borrows a number of concepts from each group. It attempts to synthesize these concepts into a comprehensive solution that can be easily implemented and deployed by Web developers in order to help foster a rich ecosystem of digital identities and credentials on the Web.
This spec hasn't been updated in many months and the work has evolved quite a bit since then. An update will occur as soon as other supporting documents are in order and time permits. -- 9/24/15
Add a section specifying how blank nodes or pseudonyms can be used for self-signed and IdP-asserted credentials.
Add a security/privacy consideration section that clearly marks out that a single key should not be used for authentication at all websites and that specifies how a different CryptographicKeyCredential can be generated and signed by an IdP for every new origin visited. Add a note that this approach is only for presenting identities that contain attributes that are asserted by self-signed or IdP-asserted credentials. This section should also detail best practices for creating a number of separate identities that aggregate credentials asserted by different third parties that are intended to be linked. There should be no doubt that this system is engineered to support many different identities per individual user.
Add a section about revocation that also includes privacy concerns (leakage of credential use at particular consumers to issuers). Specify how credentials may self-describe their revocation rules and how issuers may either publish revocation status credentials that can be aggregated over time or on demand by IdPs or how they can periodically resign previously issued credentials with new revocation validity periods (and these credentials can then be refetched by users, IdPs, or authorized value-add third party services).
Add a section on the conversion of certain credentials, by anonymizer services, to short-lived bearer credentials. These bearer credentials allow information to be asserted with a level of trust that is dependent upon the anonymizer service (which may actually be the same issuer that issued a credential), but can be used to help enhance privacy.
Add a section on the use of ephemeral keys for public terminal use.
Add a section on integration with hardware security devices, FIDO, etc.
Add a section credential revocation. Indicate that credentials can specify revocation policies/validity periods before revocation needs to be checked again and that IdPs can fetch digitally-signed up-to-date credentials and/or revocation information from issuers that can be forwarded to consumers by the user agent (one privacy protecting mechanism for checking revocation).
An identity is a set of information that can be used to identify a particular entity. Entities are anything with distinct existence, such as a person, organization, concept, or device. We typically use credentials, or claims made by others about our identities, to authenticate ourselves and ultimately gain access to various services. For example, we use email addresses to identify ourselves to online services, driver's licenses to prove that we are capable of operating a motor vehicle, university degrees to prove we are well-trained and knowledgeable, and government-issued passports to travel between countries or to access financial services. It is the goal of this specification to provide an easy, standard way to express, issue, and consume identity credentials on the Web.
There are a number of desirable capabilities for credentials that have been identified as requirements for this specification:
In order to store the unbounded variety of attributes that could be claimed in identity credentials, a simple but extensible data model is utilized. The specification uses a data storage and expression approach called Linked Data. It is a way of expressing information on the Web that is both simple and extensible. Specifically, the Linked Data technology used by this specification is JSON-LD [[!JSON-LD]].
Any arbitrary information about an identity can be expressed using JSON-LD. However, in order to express verifiable claims, credentials must be associated with the identity. This section demonstrates how to express identities and credentials.
The following example demonstrates how to express a simple identity that
contains no independently verifiable claims. Each property of the identity,
such as name
or email
, is given context via
the @context
value. Other contexts can be used or combined to
express any arbitrary information about an identity in idiomatic JSON.
{ "@context": "https://w3id.org/identity/v1", "id": "did:ebfeb1f712ebc6f1c276e12ec21", "type": ["Identity", "Person"], "name": "Alice Bobman", "email"<EMAIL_ADDRESS>"birthDate": "1985-12-14", "telephone": "12345678910" }
The following example demonstrates how to express a simple credential that
contains one verifiable claim about a particular identity. In this case, the
claim is that the entity with the identity identified by
did:ebfeb1f712ebc6f1c276e12ec21
is 21 years of age or older. While
a human reading the property ageOver
may be able to guess its
meaning by its name, the context maps it a global identifier (URL) where
a document could be retrieved that provides its semantics in a machine-readable
data format. There is also information about the credential itself, such
as an identifier for the entity that issued it and a date for when it was
issued. The credential contains a signature
that can be used
to verify its entire contents, including the claim.
{ "@context": "https://w3id.org/identity/v1", "id": "http://example.gov/credentials/3732", "type": ["Credential", "ProofOfAgeCredential"], "issuer": "https://dmv.example.gov", "issued": "2010-01-01", "claim": { "id": "did:ebfeb1f712ebc6f1c276e12ec21", "ageOver": 21 }, "signature": { "type": "LinkedDataSignature2015", "creator": "https://dmv.example.gov/keys/6", "signature": "2332f32g43ve23g23g23g/g3223gegvgre212fb488vh" } }
The following example demonstrates how to express a more complex credential that contains some more verifiable claims about a particular identity.
TODO: Show use of another context to demonstrate decentralized extensibility.
{ "@context": "https://w3id.org/identity/v1", "id": "http://example.gov/credentials/3732", "type": ["Credential", "PassportCredential"], "name": "Passport", "issuer": "https://example.gov", "issued": "2010-01-01", "claim": { "id": "did:ebfeb1f712ebc6f1c276e12ec21", "name": "Alice Bobman", "birthDate": "1985-12-14", "gender": "female", "nationality": { "name": "United States" }, "address": { "type": "PostalAddress", "addressStreet": "372 Sumter Lane", "addressLocality": "Blackrock", "addressRegion": "Nevada", "postalCode": "237842", "addressCountry": "US" }, "passport": { "type": "Passport", "name": "United States Passport", "documentId": "123-45-6789", "issuer": "https://example.gov", "issued": "2010-01-07T01:02:03Z", "expires": "2020-01-07T01:02:03Z" } }, "signature": { "type": "LinkedDataSignature2015", "creator": "https://example.gov/keys/27", "signature": "3780eyfh3q0fhhfiq3q9f8ahsidfhf29rhaish" } }
The following example demonstrates how to express one or more credentials along
with an identity. This approach allows one to express an identity and some
credentials that assert certain properties about it without losing data
fidelity. Because Linked Data is a graph-based format and credentials have been
digitally-signed as independent graphs of information, they are expressed using
the @graph
keyword. An application that receives an
identity in this format can be ensured that the credential data won't be
accidentally mixed with data in any other graphs in the
identity document. Once the application has verified the digital
signatures in each credential, it can safely merge all of the claim data into a
single graph of information about the identity.
{ "@context": "https://w3id.org/identity/v1", "id": "did:ebfeb1f712ebc6f1c276e12ec21", "type": ["Identity", "Person"], "name": "Alice Bobman", "email"<EMAIL_ADDRESS>"birthDate": "1985-12-14", "telephone": "12345678910", "credential": [{ "@graph": { "@context": "https://w3id.org/identity/v1", "id": "http://example.gov/credentials/3732", "type": ["Credential", "PassportCredential"], "name": "Passport", "issuer": "https://example.gov", "issued": "2010-01-01", "claim": { "id": "did:ebfeb1f712ebc6f1c276e12ec21", "name": "Alice Bobman", "birthDate": "1985-12-14", "gender": "female", "nationality": { "name": "United States" }, "address": { "type": "PostalAddress", "addressStreet": "372 Sumter Lane", "addressLocality": "Blackrock", "addressRegion": "Nevada", "postalCode": "237842", "addressCountry": "US" }, "passport": { "type": "Passport", "name": "United States Passport", "documentId": "123-45-6789", "issuer": "https://example.gov", "issued": "2010-01-07T01:02:03Z", "expires": "2020-01-07T01:02:03Z" } }, "signature": { "type": "LinkedDataSignature2015", "creator": "https://example.gov/keys/27", "signature": "3780eyfh3q0fhhfiq3q9f8ahsidfhf29rhaish" } } }] }
The term Identity Provider may be too overloaded at this point. In other systems such as SAML and OpenID Connect, identity providers essentially double as issuers and what this spec refers to as identity providers. Because this spec's view of an identity provider is more limited (it is more like a simple identity agent), perhaps another term would be more fitting and reduce confusion when comparing architectures.
An identity provider is a software service that acts as an agent for a credential holder. It helps the credential holder manage one or more of their identities and their associated credentials. It does not typically act as an issuer. For the purpose of this specification, its primary utility is to implement standard APIs to allow the storage and retrieval of credentials.
A credential holder may specify the URL to their identity provider in their identity document. This URL can be retrieved to determine the service endpoints for the identity provider.
Specify the service endpoints that an IdP should/must define. Include that it can optionally provide a credential management URL. Indicate that how an IdP decides to authenticate a user whose user agent visits its credential management URL is out-of-scope.
{ "@context": "https://w3id.org/identity/v1", "id": "did:ebfeb1f712ebc6f1c276e12ec21", "type": "Identity", "idp": "https://idp.example.com" }
Show example of JSON-LD document that is returned when querying IDP url.
There are two mechanisms that allow access an Identity's credentials. The first is mechanism that allows an authorized client to access credentials via an HTTP API. HTTP API clients are granted authorization by authenticating with an HTTP Signature [[!HTTP-SIGNATURES]] or by using a macaroon [[!MACAROONS]]. The second mechanism is to use a browser-based API that extends Credential Management Level 1 [[!CREDENTIAL-MANAGEMENT]] and allows the identity owner to interactively decide which credentials to share.
Consider adding, to the new HTTP API section, a flow with 4xx Credentials Required (if Authorization Required doesn't fit) with a response that includes a location to get a credentials query, which when fulfilled via a POST to an endpoint, will result in a macaroon. The macaroon can then be used to access a resource or be attenuated and given out to delegate access.
The HTTP API can be used to store or get an identity containing credentials. In for a client to be authorized to use the HTTP API it must either be pre-authorized and use HTTP Signatures [[!HTTP-SIGNATURES]] to authenticate or it must possess an appropriate macaroon.
Add section for authenticating to the various endpoints using plain HTTP Signatures [[!HTTP-SIGNATURES]] (no macaroon) for pre-authorized clients.
The only entity that is automatically authorized to store or get an identity with credentials from an identity provider is the entity that is identified by the identity. This entity may directly access the HTTP API by authenticating with an HTTP Signature [[!HTTP-SIGNATURES]] or it may request a macaroon that can be attenuated to delegate authorization to another party. To get a macaroon a client must:
The retrieved macaroon grants full authorization to both the get and store endpoints for the identity. It should be attenuated prior to delegating authorization to a third party. For example, the following caveats could be added to the macaroon: an expiration date, the specific types of credentials that can be retrieved, and a requirement to provide a credential that authenticates the user of the macaroon as being identified by a particular identity.
The following subsections are very high-level, incomplete, and rough. Add details.
New credentials can be stored at an identity provider via its HTTP API. To store credentials using this mechanism, a client must follow this algorithm:
A "view" of an identity can be requested by querying for certain attributes or particular types of credentials from an identity provider via its HTTP API. To get credentials using this mechanism, a client must follow this algorithm:
Add section detailing what a credential query looks like and how to process it.
This section of this specification describes an extension to [[!CREDENTIAL-MANAGEMENT]].
This section needs a lot of detail added to it. It currently only shows a very high level view of the extensions. More details about how this spec extends [[!CREDENTIAL-MANAGEMENT]] are needed, for an implementation, see: https://github.com/digitalbazaar/credentials-polyfill
This specification adds a new type of credential, IdentityCredential
:
[Constructor(dictionary identity), Exposed=Window] interface IdentityCredential : Credential { readonly attribute dictionary identity; static Promise<any> register(dictionary options); };
An identity provider may pass its identifier to the
register
method to ask the user agent to help the
user register the identity provider with one of their identities.
Provide more details about register
. Indicate a new identity
can be created by the user or an existing one can be used. Specify valid
options, return value, and expected behavior for IdP.
When storing an IdentityCredential
, credential, via
navigator.credentials.store, the user agent must follow this algorithm:
Provide steps for dealing with ensuring the user has a public/private key pair on their device that matches credential.identity. If one doesn't yet exist, provide steps for generating one.
id
property of credential to get
the identity document.
store
, its options.store to
credential.identity, and its identity to a
digitally-signed copy of the identity matching credential.identity
along with a CryptographicKeyCredential
containing a self-signed
public key. When this CredentialOperation is completed, the promise
associated with navigator.credentials.store will be resolved.
Spec out an alternative approach where the identity provider elects to have the user agent provide the UI for storing the IdentityCredential; the user agent uses the identity provider's HTTP API to ultimately store the IdentityCredential.
When getting an IdentityCredential
, via
navigator.credentials.get, the user agent must follow this algorithm:
Provide steps for allowing a user to register an existing identity to their user agent.
get
, its options.query to the
query passed in the options for navigator.credentials.get, and its
identity to a digitally-signed copy of the identity selected
along with a CryptographicKeyCredential
containing a self-signed
public key. When this CredentialOperation is completed, the promise
associated with navigator.credentials.get will be resolved.
Spec out an alternative approach where the identity provider elects to have the user agent provide the UI for getting the IdentityCredential; the user agent uses the identity provider's HTTP API to process the query and retrieve any data that must be shown on the UI.
Add section detailing how the browser can synthesize a CryptographicKeyCredential for simple website login.


Hello -
I am very interested in this software but currently the only way I have to monitor my PV array is via a Enphase Envoy ENV-120-01. This unit stores data offsite that is then available to me via an API.
I was hoping to write some php scripts to pull this data and drop it into a MySQL DB for use by EmonCMS but I could not find any documentation on using the system sans hardware sensors.
Please advise.
Many Thanks
Re: Using software by writing data to mysql DB directly
Hello rjsears, If you login to emoncms and navigate to the input page, there's a link to the API helper which lists the emoncms input API to which you could forward the data read in your php script with a http request.
Re: Using software by writing data to mysql DB directly
Thanks! Got it installed and will start playing with it.
Re: Using software by writing data to mysql DB directly
OK, all up and running. Went to the Input section you described, and I see a lot of ways to POST data to the system, but does the system provide any way to (scheduled or otherwise) reach out and grab data from another system?
For example, the manufacturer of my monitoring equuipment provides an API that I have to hit with curl (or a web browser) passing an API key, user_id and system_id and then it send me back whatever report that I requested.
How would I go about getting this information into Emoncms?
Re: Using software by writing data to mysql DB directly
Emoncms doesnt have the ability to make a scheduled request - there would be a lot of problems with this, different equipment api's by monitoring manufacturers etc but this is what you could build into your php script, the first half could make a curl request to the system you want to poll data from and then second part would then send that data in the right format to the emoncms api.
This is a good example of this that we use for creating our ukgrid visualisation:
https://github.com/TrystanLea/ukgrid/blob/master/cron.php
Its not actually sending data to the emoncms api more a very lighweight custom design I put together for that application but the principle is the same.


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| Apache Struts 2 Documentation > Home > FAQs > Cookbook > GroovyResult |
This is an attempt to create a Result type that uses Groovy (http://groovy.codehaus.org) files as a view. It exposes the current ActionContext to a groovy script. This doesn't really have much practical use, but it's fun nonetheless and shows how easy it is to create a Result. There is another Result (JFreeChartResult) in the test:Cookbook
Not much - just make sure you have Groovy in your classpath, and the antlr, asm-* and groovy jars available to your webapp.
<result-types> <result-type name="groovy" class="myapp.action2.extensions.GroovyResult"/> </result-types>
xwork.xml - action definitions
<action name="MyAction" class="myapp.action2.actions.MyAction"> <result name="success" type="groovy"> <param name="file">test.groovy</param> </result> </action>
The result type takes one parameter (for now), namely 'file', which contains the name of the groovy script in our script directory.
Here's the code of the actual GroovyResult. This is a verbose version, with a lot of error checking.
public class GroovyResult implements Result { public final static String GROOVY_DIR_NAME = "groovy"; private final static Logger logger = Logger.getLogger(GroovyResult.class); //our groovy source file name private String file; //a groovy shell private GroovyShell shell; //our parsed script private Script script; //the outputstream that will replace the 'out' in our groovy stream private OutputStream out; //directory containing groovy scripts private String scriptDirectory; /* * (non-Javadoc) * * @see com.opensymphony.xwork.Result#execute(com.opensymphony.xwork.ActionInvocation) */ public void execute(ActionInvocation inv) { //check the scriptDirectory - if it doesn't exists, use the default one //WEBAPP + Groovy files directory if (scriptDirectory == null) { //not pretty, but this allows us to get the app root directory String base = ServletActionContext.getServletContext().getRealPath( "/"); //if for some reason (.war, apache connector, ..) we can't get the // base path if (base == null) { logger .warn("Could not translate the virtual path \"/\" to set the default groovy script directory"); return; } scriptDirectory = base + GROOVY_DIR_NAME; //issue a warning that this directory should NOT be world readable // !! logger .warn("Please make sure your script directory is NOT world readable !"); } // first of all, make sure our groovy file exists, is readable, and is // an actual file File groovyFile = new File(scriptDirectory, file); if (!groovyFile.exists()) { //log an error and return logger.warn("Could not find destination groovy file: " + groovyFile.getAbsolutePath()); return; } if (!groovyFile.isFile()) { //log an error and return logger.warn("Destination is not a file: " + groovyFile.getAbsolutePath()); return; } if (!groovyFile.canRead()) { //log an error and return logger.warn("Can not read file: " + groovyFile.getAbsolutePath()); return; } if (logger.isDebugEnabled()) logger.debug("File " + groovyFile.getPath() + " found, going to parse it .."); /* * Here we create a Binding object which we populate with the webwork * stack */ Binding binding = new Binding(); binding.setVariable("context", ActionContext.getContext()); /* * We replace the standard OutputStream with our own, in this case the * OutputStream from our httpResponse */ try { //the out will be stored in an OutputStream out = ServletActionContext.getResponse().getOutputStream(); } catch (IOException e1) { logger.error("Could not open outputstream", e1); } if (out != null){ binding.setVariable("out", out); } else { logger .warn("OutputStream not available, using default System.out instead"); binding.setVariable("out", System.out); } //create a new shell to parse and run our groovy file shell = new GroovyShell(binding); try { //try to parse the script - the returned script could be cached for //performance improvent script = shell.parse(groovyFile); } catch (CompilationFailedException e) { logger.error("Could not parse groovy script", e); return; } catch (IOException e) { logger.error("Error reading groovy script", e); return; } //the binding is set, now run the script Object result = script.run(); if (logger.isDebugEnabled()) { logger.debug("Script " + groovyFile.getName() + " executed, and returned: " + result); } try { out.flush(); } catch (IOException e2) { logger.error("Could not flush the outputstream", e2); } } /** * @return Returns the script. */ public Script getScript() { return script; } /** * @param file * The file to set. */ public void setFile(String file) { this.file = file; } /** * @param out * The out to set. */ public void setOut(OutputStream out) { this.out = out; }
The first part of the result is little more than:
| Make sure the groovy scripts directory is not world readable ! |
Binding binding = new Binding(); binding.setVariable("context", ActionContext.getContext());
A Binding object allows us to 'bind' objects to a groovy script, so they can be used as variables. In this case, I took the ActionContext and exposed it as 'context'.
out = ServletActionContext.getResponse().getOutputStream();
...
binding.setVariable("out", out);
We also bind an OutputStream to the groovy script (as 'out') - it simply serves as a replacement for the standard System.out, so any printing goes directly to the http response outputstream.
shell = new GroovyShell(binding);
Next step; we create a GroovyShell, and pass our populated Binding to the constructor. Any script ran by this shell will have access to the passed variables (ActionContext and OutputStream).
script = shell.parse(groovyFile);
Before you can run a groovyFile, you need to parse it. Any syntax errors will be reported here - I also suggest adding a better error reporting in this case if you actually want to use this Result.
Upon successful parsing, a Script is returned (which could be cached if you want to increase performance) which will be run by our Shell.
Object result = script.run();
As a test, you might want to create a little 'groovy' script to test our Result.
test.groovy - a simple groovy script
for (item in context.contextMap){ println "item: ${item}" }
Place the test.groovy file in your groovy scripts directory. You should now see the result when you invoke MyAction.action in your browser.
Possible improvements are binding all objects on the stack so they become available to the groovy script, refactoring to an InputStream instead of a File, etc .. Comments welcome !


@import models.users.User
@import helper._
@(addFlightForm: Form[models.FlightSchedule], user: User)
@main("Add Flight", user){
Add a new Flight
@form(action = routes.FlightsController.addFlightSubmit(), 'class -> "form-horizontal", 'role -> "form"){
@inputText(addFlightForm("flight_date"), '_label -> "Flight Date", 'class -> "form-control")
@inputText(addFlightForm("departure_time"), '_label -> "Departure Time", 'class -> "form-control")
@inputText(addFlightForm("arrival_time"), '_label -> "Arrival Time", 'class -> "form-control")
@select(
addFlightForm("aircraft.id"),
options(Aircraft.options),
'_label -> "Aircraft", '_default -> "-- Choose an aircraft --",
'_showConstraints -> false, 'class -> "form-control"
)
@select(
addFlightForm("route.id"),
options(Route.options),
'_label -> "Route", '_default -> "-- Choose a route --",
'_showConstraints -> false, 'class -> "form-control"
)
}
}


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{% extends "_post.html" %} {%hyde title: "I am a moron" created: 2003-07-20 10:25:34 %} {% block article %} {%article%}
I had a pretty nice week in Boston, generally. All the Ximian guys/gals were cool (except Ian :) ). I even managed to get some actual work done. So, things were going well up until Friday. That’s when I missed my plane, because I thought it was leaving on Saturday. Ugh. I called the travel agency, and managed to get another flight out at 6:00 AM. I ended up getting to Indy around 11 or so.  Pretty tired by the time I get home, having not slept for about 30 hours. Slept the rest of the day. Have to deal with the car today, and find out what ran the battery down. I pulled a fuse to what I thought was the culprit yesterday (there is a penny in the cigarette lighter — seems a likely cause), so we’ll see how it goes.
{%endarticle%} {% endblock %}


Hal Burch conducted an analysis over spring break of 1999 and made an amazing discovery: there are only 16 types of programming contest problems! Furthermore, the top several comprise almost 80% of the problems seen at the IOI. Here they are:
The most challenging problems are Combination Problems which involve a loop (combinations, subsets, etc.) around one of the above algorithms - or even a loop of one algorithm with another inside it. These seem extraordinarily tricky to get right, even though conceptually they are ``obvious''.
If you can master solving just 40% of these problem types, you can almost guarantee a silver medal at the IOI. Mastering 80% moves you into the gold range almost for sure. Of course, `mastery' is a tough nut to crack! We'll be supplying a plethora of problems so that you can hone your skills in the quest for international fame.


Notable changes
We have released 42.2.12 to correct regressions in this version: Specifically
- PR 1729 was reverted as this is a breaking change
- PR 1719 has been reverted as it introduced errors in the PgType Cache
We recommend that this version 42.2.11 not be used.
Changed
- Reverted PR 1641. The driver will now wait for EOF when sending cancel signals.
DatabaseMetaData#getProcedures
returns only procedures (not functions) for PostgreSQL 11+ PR 1723
- Convert silent rollbacks into exception if application sends
commit
or xa.prepare
command PR 1729
Added
- Convert silent rollbacks into exception if application sends
commit
or xa.prepare
command PR 1729
- feat: Expose
ByteStreamWriter
in CopyManager PR 1702
- feat: add way to distinguish base and partitioned tables in PgDatabaseMetaData.getTables PR 1708
- refactor: introduce tuple abstraction (rebased) PR 1701
- refactor: make PSQLState enum consts for integrity constraint violations PR 1699
- test: add makefile to create ssl certs PR 1706
Fixed
- fix: Always use
.
as decimal separator in PGInterval PR 1705
- fix: allow DatabaseMetaData.getColumns to describe an unset scale PR 1716
Commits by author
Dave Cramer (4):
Lőrinc Pap (2):
Magnus Reftel (1):
Markus Winand (1):
Mike Goodman (4):
- refactor: make PSQLState enum consts for integrity constraint violations PR 1699 cc31c13f
- feat: add way to distinguish base and partitioned tables in PgDatabaseMetaData.getTables PR 1708 25eb32c8
- fix: add support for full names of data types PR 1719 f554118a
- fix: getProcedures returns only procedures (not functions) for psql11+ PR 1723 5fbe0462
Nick Mancuso (1):
Sehrope Sarkuni (2):
- fix: Correct sort order of PGProperty.ASSUMEMINSERVER_VERSION 3ea08125
- test: Add test to check sort order of PGProperty values aa1b93f1
Toddy69 (1):
Vladimir Sitnikov (11):
- test: skip PKCS12KeyTest when enablessltests is not set 6730f3fe
- test: add makefile for creating test certificates 202f88e1
- Revert "fix: remove receiving EOF from backend after cancel since according to protocol the server closes the connection once cancel is sent (connection reset exception is always thrown) PR 1641" ca1f60ff
- Revert "fix unstable test. Originally this would loop creating many statements, now it should timeout properly PR 1650" 5eabe1ae
- style: compute nanoseconds with TimeUnit.SECONDS.toNanos b004c706
- revert: use simple executor.shutdown() in testFastCloses fc5467c6
- Move CopyBothResponseTest to replication folder 2509b663
- doc: fix HTML5 errors in javadoc 161ea249
- fix: convert silent rollbacks into exception if application sends commit command PR 1729 adcb194e
- chore: add continuationindentsize = 4 to .editorconfig for *.java 45d5831e
- chore: remove endofline = lf from .editorconfig for .java 7ce254d2
adrklos (1):
crwr45 (1):
- fix: allow DatabaseMetaData.getColumns to describe an unset scale PR 1716 30843e45
Contributors to this release
We thank the following people for their contributions to this release.
adrklos
crwr45
Dave Cramer
Lőrinc Pap
Magnus Reftel
Markus Winand
Mike Goodman
Nick Mancuso
Sehrope Sarkuni
Toddy69
Vladimir Sitnikov


How to Use
About
C/C++ to Portugol
×
Note:
This is a beta release, there are many bugs. If you find one of them, contact us trought GitHub issues:
here
Language:
select...
C++(comming soon...)
C
Convert
Code:
Result:


clearEnabled attribute controls the visibility of cleaning button.
clearEnabled
clearButton - descriptor of the button for removing items. Can contain caption and icon attributes.
clearButton
caption
icon


This page requires Javascript. You're seeing this message as you have Javascript disabled.
About
This is a simple web interface to organise and filter /rolls for the videogame The Secret World (TSW), a MMORPG by Funcom.
Instructions
Copy & paste the rolls you wish to sort from your TSW chat window into the Input box. Your rolls will automatically process and appear in the Output box. If your content contains information likely to fool the processor (see Cautions) manually remove the offending lines from the Input box and click the "Process" button.
Features
- Sort rolls.
- Group people with duplicate roll values.
- Filters someone multi-rolling, only takes their first roll.
- Filters irrelevant chat messages, including Tell and Channel messages that mention rolls.
- Provides a count of the number of rolls found.
- Works in Offline mode, save the page and it'll work from a local copy.
Caution
Processor is unable to exclude rolls done with a command such as /emote (e.g. '/emote rolled a 100.') so take care to manually remove that type of content. For this reason it highly recommended to use a chat tab that is only subscribed to Loot Rolls as a source for your roll data.
Examples
AliceOrwell rolled a 12.
KangaRue rolled a 92.
Daigon-Jude rolled a 24.
BigMiz rolled a 29.
Daigon-Jude rolled a 90.
->
4 Rolls: KangaRue (92) -- BigMiz (29) -- Daigon-Jude (24) -- AliceOrwell (12)
[14:25] AWOL rolled a 54.
[14:25] You received [Sacred fire] x 3
[14:26][Raid][*LazyDude]: yay
[14:26] Hlopushka rolled a 76.
[14:26] Akkikins rolled a 54.
->
3 Rolls: Hlopushka (76) -- AWOL + Akkikins (54)
[14:26][#event][*Alice]: RIP. Bob rolled a 99.
[14:26][#event][*Alice]: MT
[14:26][John] I zoned out but I rolled a 100.
->
0 Rolls found.
[*John]: /emote rolled 100.
John rolled a 100.
->
1 Roll: John (100)


At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
At Sarah's Science and This Land is your Land Summer Day Camp, your child will discover just how fun learning can be! In addition to traditional camp activities like swimming, games, nature hikes, and arts and crafts, campers will make and take home a fun science project each day! A take-home science note accompanies each science lesson and is a great way to continue the learning at home. Our goal is for every child to have a summer filled with outrageous fun in a beautiful, natural setting.
With beautiful, outdoor locations in Oakland and Berkeley and weekly sessions from June 13 - September 2, This Land is Your Land Summer Day Camp provides award-winning, hands-on, outdoor science fun all summer long!.
xx/20xx - xx/20xx
100 / day
Oakland
CEO and Founder
Sarah Shaffer, voted “Best Science Teacher for Kids” by the East Bay Express, has offered science and nature programs for children, parents and teachers for 30 years. The co-author of Compost! A Teacher’s Guide to Activities and Resources in the East Bay, Sarah is the founder and CEO of Sarah’s Science. As a teacher, science consultant and naturalist, Sarah continues to develop and shape her unique approach to stimulating children’s curiosity and encouraging their appreciation for science and nature.
Camp Director
Sarah Shaffer, voted “Best Science Teacher for Kids” by the East Bay Express, has offered science and nature programs for children, parents and teachers for 30 years. The co-author of Compost! A Teacher’s Guide to Activities and Resources in the East Bay, Sarah is the founder and CEO of Sarah’s Science. As a teacher, science consultant and naturalist, Sarah continues to develop and shape her unique approach to stimulating children’s curiosity and encouraging their appreciation for science and nature.
Camp Director
Sarah Shaffer, voted “Best Science Teacher for Kids” by the East Bay Express, has offered science and nature programs for children, parents and teachers for 30 years. The co-author of Compost! A Teacher’s Guide to Activities and Resources in the East Bay, Sarah is the founder and CEO of Sarah’s Science. As a teacher, science consultant and naturalist, Sarah continues to develop and shape her unique approach to stimulating children’s curiosity and encouraging their appreciation for science and nature.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut eaque, laboriosam veritatis, quos non quis ad perspiciatis, totam corporis ea, alias ut unde.
Give us a call at<PHONE_NUMBER>
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!


--- layout: default title: Greg Kiar description: Research ---
My research focuses on lowering the barrier to performing and evaluating high-quality science. While this may have many possible meanings depending on context or application, I believe it starts with generating reproducible and stable results. I have developed or contributed to a number of projects which have approached this from several different angles, including:
In addition to contributing to these tools, standards, and techniques, I adopt many of them in my own research as well. A series of my publications is linked below, which shows how researchers can go from comparing methods for evaluating the stability of their analysis pipelines, up to ultimately improving the quality of their data-driven predictive models using these techniques.
While there are many more things that could be said or explored, if you're interested in looking a little bit closer at what I do and how I do it, feel free to check out the links below. Everything I do is and will be open, and will likely be more up-to-date than this website if you go directly to the source.


Home page
Ajax website engine for better-dom
The library helps to solve one of the most important problem for a typical website: improving performance. There is a term called "Full AJAX" that means a library that makes a regular HTTP links or forms to be AJAXified. After including the library on page and simple adaptation on backend each navigation change triggers an partial page reload which is always faster than full page refresh and allows to save a use state on client side as well.


A summary of some new news related to CUNY's and CSI's response to the COVID-19 pandemic. See https://csi-covid19.github.io for the archive.
To add/suggest news, please email John Verzani
link CUNY releases the 10th go-around of Guidance. This time on CR/NCR etc.
link CUNY's review of the current State and City Budget position
no link available The Chancellory wants answers in a "Call to Action"
"Presidents shall inform the Executive Vice President and University Provost of their intent to leverage this training opportunity for their faculty and commitment to contribute to the overall goals of this ambitious initiative. Alternatively, presidents will submit their own plan to provide professional development to their campus faculty. Responses are due by April 20, 2020."
link College Council and Faculty Senate meet Thursday the 22nd. Check your campus email.
link The research committee has a resolution
link ACE's take on the CARES act
link New contract provisions between the PSC and CUNY
Fill out the following survey (so far just 1 member from CSI has):
UFS Spring 2020 Survey of CUNY Online Transition and Faculty Needs now has 630 responses as of this morning from 21 of 25 CUNY units.
The Chancellor has informed the BoT that the University has submitted a proposal to the NYS Division of the Budget for distributing $118,477,183 in CARES Act funding. When approved, the monies will be sent to our students, particularly but not exclusively, Pell Grant recipients.
The Federal government has also released guidelines for the use of the second half of those monies: an additional $118, 477, 183. The Chancellery is reviewing them and will develop a plan for disbursal as well, pending the approval of the NYS Division of the Budget.
The Chancellor has alerted the members of the BoT to "fluid fiscal concerns" which may effect and to "potentially difficult decisions" that may be pending. Specifics about the concerns and the decisions were not provided.


2 Chronicles 11:15
And he ordained him priests for the high places, and for the devils, and for the calves which he had made.


@net-ecs/core
Core of net-ecs including world, entity, component, and system creation.
import {
createEntityAdmin,
createComponentType,
createSystem,
With,
number
} from "@net-ecs/core"
const world = createEntityAdmin()
const Health = createComponentType({
name: "health",
schema: {
value: number,
}
})
const DamageOverTime = createComponentType(
name: "damage_over_time",
schema: {
start: number,
duration: number,
damagePerSecond: number,
},
initialize(component, duration: number, damagePerSecond: number, start: number) {
component.duration = duration
component.damagePerSecond = damagePerSecond
component.start = start
},
)
const damage = createSystem({
name: "damage",
queries: [
[With(Health), With(DamageOverTime)],
],
execute(world, entities) {
for (let i = 0; i < entities.length; i++) {
const entity = entities[i]
const health = world.getMutableComponent(entity, Health)
const { start, duration, damagePerSecond } = world.getComponent(
entity,
DamageOverTime,
)
if (world.clock.time >= start + duration) {
world.removeComponent(entity, DamageOverTime)
} else {
health.value -= damagePerSecond * world.clock.step
}
if (health.value <= 0) {
world.deleteEntity(entity)
}
}
},
})
const entity = world.createEntity()
world.addSystem(damage)
world.addComponent(entity, Health, 100)
world.addComponent(entity, DamageOverTime, 1, 1, world.clock.time)
world.tick(1)
const Brightness = createComponentType(
name: "brightness",
schema: { type: number, defaultValue: 100 }
)
const render = createSystem(
"render",
(world, [entity]) => {
const brightness = world.getComponent(entity, Brightness)
// do something with brightness component
},
[With(Brightness)],
)
world.createSingletonComponent(Brightness)
world.addSystem(render)
Generated using TypeDoc


It is {{recruiterOk}} for recruiters, HR consultants, and other intermediaries to contact this employer.


We all know testing is important
...so why isn’t it happening?
There are plenty of “reasons” not to test:
- “We don’t have time to write tests!”
- “Where do we even start with testing?”
- “Testing slows us down!”
- “Tests are too hard to maintain!”
- “Junior devs don’t know how to write tests...”
- “...and we don’t have bandwidth to train them.”
Hard or not, we need to write tests
If our code isn’t tested, we’re just guessing
Even smaller codebases have lots of edge cases
Manual quality assurance doesn’t catch everything
Testing Doesn’t Have to Be Hard
A battle-tested strategy
- Code changes must be sent as pull requests
- A build pipeline runs tests automatically
- The new code must meet testing requirements
- The new code must meet quality guidelines
- Change must be peer reviewed and approved
What should the testing requirements be?
- The app builds successfully
- All tests pass
- Coverage thresholds must be met for new code
- Coverage thresholds for the whole repo (maybe)
What should the quality guidelines be?
- Limit cyclomatic and cognitive complexity
- Avoid known problematic patterns
- Check for security vulnerabilities
- Eliminate duplicate code
We should not fail a pull request on style
Just use Prettier and forget about it.
Test and quality checks can be automated:
- Linters and IDE plugins to help as code is written
- Husky and Git hooks to check changes pre-push
- TravisCI and Jenkins to build and test PRs
- SonarCloud, Code Climate, Codacy for quality checks
- Prettier to auto-fix code style
Pull requests create a control flow
- No force pushing
- Creates a place for automated tests to run
- Requires team participation
Automated tests catch more edge cases before regressions happen
Quality checks minimize technical debt and maintenance overhead
Automating enforcement removes the need for a human code cop
Peer reviews create opportunities to learn
& share knowledge
Testable code is better code
- Cleaner separation of different functionality
- Fewer side effects (because mocking sucks)
- Better APIs because edge cases are tested for
Make the Right Thing the Easy Thing
Use built-in coaching to improve quality
Source: Codacy
Make the learning curve as shallow as possible
Using 3 packages for testing is confusing
A unified API makes testing approachable
Keeping tested code tested is significantly less hard
Internal training is key
- Hackathons to add tests to older code
- Hands-on workshops to teach testing techniques
- Cross-team code reviews to share knowledge
- Compile best practices into internal docs
- Coach the team on writing more testable code
- Hire external trainers if necessary
Don’t forget: executives also need training
- An untested product is fragile
- Fragile products break in unpredictable ways
- Unpredictability causes delays
- Delays cost money and frustrate customers
Make code quality a point of pride
Visually represent code health in public
Source: SonarQube
Measure code health over time for teams
Source: SonarQube
Make testing a deliverable not a “nice to have”
New features without tests are not safe to launch
What if people fight testing?
Change is hard:
- Old habits are hard to break
- New requirements cause anxiety
Replace old habits with better ones
Try to understand where resistance is coming from
Focus on the bright spots
Reward the right behavior
- Use testing and quality as a metric during reviews
- Publicly recognize team members who improve code
Reorganize resistant teams
Measure management on their team’s code quality
A word of caution:
Don’t add requirements without adjusting expectations. Deadlines will need to shift at first.
Stop rewarding bad behavior
Teams shipping features without tests missed their deadline
This is not okay:
“We just need to get something out there. We’ll add tests later.”
Be reasonable
Start plugging leaks first
Create a ramp-up period
Improving foundational quality will help to:
- Increase the reliability of code
- Decrease the time to find and fix bugs
- Speed up delivery times for new features
- Eliminate existing technical debt...
- ...and help prevent new debt from being created
- Lower the cost of maintenance
To create quality-driven culture in your company:
- Make the Right Thing the Easy Thing
- Provide support and ramp-up time for developers
- Convince management to make time for quality
- Reward the desired behavior...
- ...and stop rewarding bad behavior
- Automate as much of the process as possible
- Take pride in shipping quality, not just shipping
Testing is a supercharger for companies
It’s slow and difficult to get the mindset in place...
but then it’s unstoppable


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Appendix F. Additional Supplied Modules | Next |
The uuid-ossp module provides functions to generate universally unique identifiers (UUIDs) using one of several standard algorithms. There are also functions to produce certain special UUID constants.
This module depends on the OSSP UUID library, which can be found at http://www.ossp.org/pkg/lib/uuid/.
Table F-29 shows the functions available to generate UUIDs. The relevant standards ITU-T Rec. X.667, ISO/IEC 9834-8:2005, and RFC 4122 specify four algorithms for generating UUIDs, identified by the version numbers 1, 3, 4, and 5. (There is no version 2 algorithm.) Each of these algorithms could be suitable for a different set of applications.
Table F-29. Functions for UUID Generation
| Function | Description |
|---|---|
| uuid_generate_v1() | This function generates a version 1 UUID. This involves the MAC address of the computer and a time stamp. Note that UUIDs of this kind reveal the identity of the computer that created the identifier and the time at which it did so, which might make it unsuitable for certain security-sensitive applications. |
| uuid_generate_v1mc() | This function generates a version 1 UUID but uses a random multicast MAC address instead of the real MAC address of the computer. |
| uuid_generate_v3(namespace uuid, name text) | This function generates a version 3 UUID in the given namespace using
the specified input name. The namespace should be one of the special
constants produced by the For example: SELECT uuid_generate_v3(uuid_ns_url(), 'http://www.postgresql.org'); The name parameter will be MD5-hashed, so the cleartext cannot be derived from the generated UUID. The generation of UUIDs by this method has no random or environment-dependent element and is therefore reproducible. |
| uuid_generate_v4() | This function generates a version 4 UUID, which is derived entirely from random numbers. |
| uuid_generate_v5(namespace uuid, name text) | This function generates a version 5 UUID, which works like a version 3 UUID except that SHA-1 is used as a hashing method. Version 5 should be preferred over version 3 because SHA-1 is thought to be more secure than MD5. |
Table F-30. Functions Returning UUID Constants
| uuid_nil() | A "nil" UUID constant, which does not occur as a real UUID. |
| uuid_ns_dns() | Constant designating the DNS namespace for UUIDs. |
| uuid_ns_url() | Constant designating the URL namespace for UUIDs. |
| uuid_ns_oid() | Constant designating the ISO object identifier (OID) namespace for UUIDs. (This pertains to ASN.1 OIDs, which are unrelated to the OIDs used in PostgreSQL.) |
| uuid_ns_x500() | Constant designating the X.500 distinguished name (DN) namespace for UUIDs. |
Peter Eisentraut <peter_e@gmx.net>


Tottenham v Sheffield United: match preview
by Guardian StaffOn the back of a convincing Champions League win in midweek, Tottenham would normally view the visit of a promoted team as a home banker. Spurs might have beaten Red Star Belgrade on Wednesday but they have not won consecutive games since April, their league results have been poor and Sheffield United, unbeaten away from home this season, arrive as the form team. Would something for the Blades even count as a shock?. David Hytner
Saturday 3pm
Venue Tottenham Hotspur Stadium
Last season n/a
Referee Graham Scott
This season G6 Y15 R3 3 cards/game
Odds H 4-7 A 5-1 D 3-1
TOTTENHAM
Subs from Vorm, Walker-Peters, Rose, Sessegnon, Foyth, Dier, Sissoko, Wanyama, Skipp, Lo Celso, Lucas, Parrott
Doubtful None
Injured Lamela (hamstring, 23 Nov), Vertonghen (hamstring, 23 Nov), Lloris (elbow, Feb)
Suspended None
Discipline Y24 R1
Form LWLDLD
Leading scorer Kane 6
SHEFFIELD UNITED
Subs from Moore, Jagielka, Besic, Osborn, Freeman, Sharp, Stearman, McBurnie, Robinson, Verrips
Doubtful Egan (knock)
Injured None
Suspended None
Discipline Y20 R1
Form WLDWDW
Leading scorers Lundstram, Mousset 3


After Trump’s statement, Taliban say 'way too early' to speak of resuming talks with US
"The Taliban wants to make a deal and we're meeting with them and we're saying it has to be a ceasefire," Trump said during his recent visit to Afghanistan.
The Taliban said Friday it was "way too early" to speak of resuming direct talks with Washington, a day after President Donald Trump suggested negotiations to end America's longest war were back on track during a surprise visit to Afghanistan.
"It is way too early to talk about the resumption of talks for now. We will give our official reaction later," the Islamist group's official spokesman, Zabihullah Mujahid, told AFP in a WhatsApp message.
Trump on Thursday had said the Taliban "wants to make a deal".
"We're meeting with them and we're saying it has to be a ceasefire," he told reporters during his unannounced trip to Bagram Airfield, outside the capital Kabul, to celebrate the Thanksgiving holiday with the troops.
His statement suggested progress after his shock decision in September to end negotiations with the insurgents just as Washington appeared on the verge of signing a deal with the Taliban that would have seen the US begin pulling troops out of Afghanistan in return for security guarantees.
The deal was expected to pave a way towards direct talks between the Taliban and the government in Kabul.
But Trump described the year-long effort as "dead" and withdrew an invitation to the insurgents to meet in the United States due to the killing of an American soldier.
Both Washington and the Taliban had left the door open for talks to resume, however, with most observers agreeing that a political settlement is the only way to reach a lasting peace in Afghanistan after 18 years of war.


--- kind: article created_at: 2008/01/07 title: SaveAll with CakePHP excerpt: Part 1 of everything SaveAll for CakePHP. tags: - CakePHP --- SaveAll in Cakephp Since the new beta release for CakePHP there is a nice feature called saveAll and, like the name says, it saves all model data in a form. What this means is that you don't have to do nasty stuff in the controllers (like looping). Lets make a simple todo list to demonstrate. First we need a table named tasks. It has an id, int(11) and a name, varchar(255).
50, 'page' => 1);
function index(){
$this->set('tasks', $this->paginate('Task'));
}
function add() {
if (!empty($this->data)) {
$this->cleanUpFields();
$this->Task->create();
if ($this->Task->saveAll($this->data)) {
$this->Session->setFlash('List saved');
$this->redirect(array('action'=>'index'), null, true);
} else {
$this->Session->setFlash('List could not be saved');
$this->redirect(array('action'=>'index'), null, true);
}
}
}
}
?>
You can see that there is nothing different here except for the $this->Task->saveAll($this->data);
That is where most of the magic happens. The other magic is in the views, lets look at add.ctp
create('Task');?>
end('Submit');?>
Note the task.1.name, this is to let the model know that there could be more tasks.
And that's basically it!
Tomorrow i'll make a post about the other feature of saveAll, saving related models.


Returns the smallest possible subset of a set for which the total results of a numeric evaluation are at least a given percentage. The result set is returned with elements listed from smallest to largest.
Syntax
BottomPercent ( set, percentage, numeric_value_expression )
| Parameter | Description |
|---|---|
|
The set from which to select the bottom-percentile elements. |
|
percentage |
The percentile. This argument must be a value between 0 and 100. |
numeric_value_expression |
The expression that defines the selection criteria (see MDX Grammar Rules). |
Notes
This function ignores negative and missing values.
Example
The following query returns data for products making up the lowest 5th percentile of all product sales in the Sample Basic database.
WITH SET [Lowest 5% products] AS 'BottomPercent ( { [Product].members }, 5, ([Measures].[Sales], [Year].[Qtr2]) )' MEMBER [Product].[Sum of all lowest prods] AS 'Sum ( [Lowest 5% products] )' MEMBER [Product].[Percent that lowest sellers hold of all product sales] AS 'Sum ( [Lowest 5% products] ) / [Product] ' SELECT {[Year].[Qtr2].children} on columns, { [Lowest 5% products], [Product].[Sum of all lowest prods], [Product], [Product].[Percent that lowest sellers hold of all product sales] } on rows FROM Sample.Basic WHERE ([Measures].[Sales])
In the WITH section,
The named set [Lowest 5% products] consists of those products accounting for the lowest 5 percent of sales in the second quarter. This set includes Birch Beer, Caffeine Free Cola, Strawberry, Sasparilla, and Vanilla Cream.
The first calculated member, [Product].[Sum of all lowest prods], is used to show the sum of the sales of the products with sales in the lowest fifth percentile.
The second calculated member, [Product].[Percent that lowest sellers hold of all product sales], is used to show, for each month, how the sales of lowest-selling products compare (as a percentage) to sales of all products in the Product dimension.
This query returns the following grid:
| Apr | May | Jun | |
| Birch Beer | 954 | 917 | 1051 |
| Caffeine Free Cola | 1049 | 1065 | 1068 |
| Strawberry | 1314 | 1332 | 1316 |
| Sasparilla | 1509 | 1552 | 1501 |
| Vanilla Cream | 1493 | 1533 | 1612 |
| Sum of all lowest prods | 6319 | 6399 | 6548 |
| Product | 32917 | 33674 | 35088 |
| Percent that lowest sellers hold of all product sales | 0.192 | 0.194 | 0.187 |


Adding button sets
-
anonymous
I'd like to install new button sets to my Synergy 1.3. I'm not entirely sure how to do this...downloading isn't automatic of course. Where do I put these files to show up in my pref pane? Thanks.
-
pope52
Shove 'em in ~/Library/Application Support/Synergy/Button Sets/
-
Greg Hurrell
Or just double-click them in the Finder. Synergy automatically copies them to "~/Library/Application Support/Synergy/Button Sets/" for you.
Reply
This topic is now closed.


---
layout: post
title: concept sketch for a sculpture
date: '2015-10-02T18:30:25+02:00'
categories:
- Concept Art
- Illustration
picture_url: https://film-Storyboards.tumblr.com/post/130365304317/concept-sketch-for-a-sculpture
---
Concept sketch for a sculpture.


Blogpost5| Reinforcement learning: Policy-based
Bological entities can extract a large amount of information from binary feedback signals. Reinforcement learning (RL) is a general term for an agent that learns to act using reinforce signals (for example reward or punishment). Two important types of RL in machine learning are Deep Q-learning and policy-based RL. This post is focused on the latter.
An agent that does policy-based RL, learns by updating the parameters of its policy π, which is based on the state that the agent is in and its received reward upon performing an action.
In machine learning, the π can be seen as a differentiable function, which can be implemented with a neural network. The π receives a state as an input and in return outputs different probability scores of each action. In this post, I will focus on explaining how we can use this policy network to perform reinforcement learning.
The environment
Imagine an agent running down a continous plateau with the aim to stay on the plateau as long as possible. At every timestep t, he encounters a different surrounding structure and needs to decide whether to shift himself to the right or left in order to stay “alive”. His lifespan is represented as (t1, …, T). The longer he manages to survive during his run, the better his performance.
Some definitions (in our environment)
- Agent: The agent interacts with its environment by performing actions in discrete time steps.
- Actions at : The action that the agent can take at timestep t. At each timestep, the agent can either shift to the left, or to the right.
- State st: The state that the agent is in at timestep t.
- Reward rt: The reward returned at timestep t.
- Episode: Everytime the agent runs on the plateau to learn, it creates an episode that contains all the actions taken at every timestep.
- Policy π : Is the basic neural network that predicts the probability scores of every action at each time step given a state.
The learning concept
Basically, the reinforcement algorithm is represented by the following equation:
Where r(si,t,ai,t) is the reward at (si,t,ai,t).
During each episode, the agent runs on the plateau and performs some actions. After the episode, we make use of the reinforce algorithm to update the parameters of the policy network and then run it again.
In other words, we want to optimize the parameters in such a way that maximizes the gradient of θ. This is done in three steps:
-
Run the policy network πθ(at|st) which outputs various action probability scores (τ) given a state st and sample a probability score τi from the output.
-
Then, we want to calculate the gradient ascent:
- To ultimately update the parameters of the policy network:
Using cost to go to reduce variance
So far I have explained the basic reinforcement algorithm. This explained algorithm learns by using ALL the rewards that it gets during that entire episode. Since the πt’ cannot affect the rewards that occurred before t, it results in a high variance method of learning.
To reduce the variance, we can make use of the future rewards after an action is performed, such that the agent performs based on future rewards only.
This means that the reinforce algorithm becomes:
Where the Q-hat is the ‘cost-to-go’:
which is the collection of all the future rewards, after a performed action at t.
To summarize
For each episode, the agent gets to run on the plateau. For each timestep in the episode, the policy takes in a state, and outputs different probabilities of actions, and one action is then randomly sampled (the actions with higher probability scores have a higher probability to be sampled). This happens until the agent falls off the plateau.
We then look at each timestep of that episode, starting at the first timestep. At the first timestep, we sum all the rewards following that timestep, and then update the policy parameters of that timestep, such that the policy output has a positive effect on the total future reward (this we call gradient ascend).
Then for the next timestep of that same episode, we again sum its future rewards, and again the parameters of the policy network is updated based on that sum. When repeating this with many episodes, the policy output becomes more optimal at each timestep and the episodes become longer.
Reference
I have learned all of this material in the Neural Information Processing Systems course, this year!


| waiterClass {waiter} | R Documentation |
Create a waiter to then show, hide or update its content.
Create an object to show a waiting screen on either the entire application
or just a portion of the app by specifying the id
. Then show
,
then hide
or meanwhile update
the content of the waiter.
new()
Waiter$new( id = NULL, html = NULL, color = NULL, logo = NULL, hide_on_render = !is.null(id), hide_on_error = !is.null(id), hide_on_silent_error = !is.null(id) )
id
Id, or vector of ids, of element on which to overlay the waiter, if NULL
the waiter is
applied to the entire body.
html
HTML content of waiter, generally a spinner, see spinners
or a list of the latter.
color
Background color of loading screen.
logo
Logo to display.
hide_on_render
Set to TRUE
to automatically hide the waiter
when the element in id
is drawn. Note the latter will work with
shiny plots, tables, htmlwidgets, etc. but will not work with arbitrary
elements.
hide_on_error, hide_on_silent_error
Whether to hide the waiter when the underlying element throws an error. Silent error are thrown by req and validate.
Create a waiter.
\dontrun{Waiter$new()}
show()
Waiter$show()
Show the waiter.
hide()
Waiter$hide()
Hide the waiter.
update()
Waiter$update(html = NULL)
html
HTML content of waiter, generally a spinner, see spinners
.
Update the waiter's html content.
print()
Waiter$print()
print the waiter
clone()
The objects of this class are cloneable with this method.
Waiter$clone(deep = FALSE)
deep
Whether to make a deep clone.
## ------------------------------------------------ ## Method `Waiter$new` ## ------------------------------------------------ ## Not run: Waiter$new()


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March 10, 2021
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Female duo leads OC board
by Kirk PentonGloria Morgan is the new chair of the Okanagan College board of governors.
Morgan, who had been serving as the vice-chair, was elected during Tuesday’s board meeting at the college. She replaces Chris Derickson, who had to leave the position after recently getting elected chief of Westbank First Nation.
“I’m looking forward to serving in this role,” Morgan said in a press release. “With a new building and new programs about to come on stream, and work beginning on our next strategic plan, Okanagan College is at an exciting juncture.”
For more on this story, visit Okanagan Edge.