@* * Copyright 2020 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.urls.Link @(langMap : Map[String, Lang], langToCall : (String => Call), customClass: Option[String] = None)(implicit messages: Messages, lang: Lang)


Sample of pinch zoom and panning. Zoom at a point needs to be fixed, feel free to help me with this!


--- layout: post status: publish published: true title: Schema Conformance author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 344 wordpress_url: http://winterdom.com/2003/06/schemaconformance date: '2003-06-05 07:50:44 +0000' date_gmt: '2003-06-05 07:50:44 +0000' categories: - Web Services tags: [] comments: - id: 252 author: Chris Brooks author_email<EMAIL_ADDRESS>author_url: http://www.chrisbrooks.org date: '2003-06-05 22:49:35 +0000' date_gmt: '2003-06-05 22:49:35 +0000' content: |
I saw both Clemens and Dare speak today, and it was very eye-opening. Dare took us half the way, showing a reasonable why to intercept in the WS pipeline to enforce schema validation. Clemens brought us home by showing how we can declaratively (in code, not XML schema) achieve the same effect. Clemens' model will be very appealing for those that prefer code-driven schema and WS design.
- id: 253 author: Dare Obasanjo author_email<EMAIL_ADDRESS>author_url: http://www.kuro5hin.org/user/Carnage4Life/diary date: '2003-06-05 16:01:53 +0000' date_gmt: '2003-06-05 16:01:53 +0000' content: |You should have attended my talk. It was all about enabling ASP.NET web services to validate the incoming message according to the schema in the WSDL document.
---
Yesterday, at the end of Scott's
talk, someone asked whether the ASP.NET Web Services Infrastructure did Schema validation
of incoming SOAP Messages according to the schema defined in the WSDL types section
(or imported schemas in the WSDL). I happen to think this is a pretty interesting
question, actually. My first reaction was to say "No, it doesn't" (ok, I actually
went ahead and said it). But then, Chris
Brooks said something that left me thinking. He agreed it didn't actually do validation,
but some sort of check was done, in the sense that if your WebMethod's code executed,
then something about the incoming message was right: it was enough for the XmlSerializer
to reconstruct the WebMethod arguments and do the call.
I thought this was an interesting idea. Certainly, one could consider
this some sort of very light, very superficial validation. But perhaps "Schema Conformance"
would be a better term: One could say that the incoming message "conforms" to the
specified schema, in the sense that there is a one-way transformation that can be
done from the incoming data to the WebMethod's arguments. That transformation will
possibly include taking advantage of nullable types (in this case, I actually mean
passing null for a reference type-argument), default values for value types, etc.
It's actually much more interesting if you even consider that some
specific types can "conform" to almost any possible schema representing the expected
incoming message schema, such as XmlNode.
PS: I'm writing this as I watch Clemens talk
about his Aspect Oriented Work :)


Sound Bookmarklet Generator
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What is “data cleansing” about?
Data analysis, in practice, consists typically of some different steps which can be subsumed as “preparing data” and “model data” (not considering communication here):
(Inspired by this)
Often, the first major part — “prepare” — is the most time consuming. This can be lamented since many analysts prefer the cool modeling aspects (since I want to show my math!). In practice, one rather has to get his (her) hands dirt…
In this post, I want to put together some kind of checklist of frequent steps in data preparation. More precisely, I would like to detail some typical steps in “cleansing” your data. Such steps include:
- identify missings
- identify outliers
- check for overall plausibility and errors (e.g, typos)
- identify highly correlated variables
- identify variables with (nearly) no variance
- identify variables with strange names or values
- check variable classes (eg. characters vs factors)
- remove/transform some variables (maybe your model does not like categorial variables)
- rename some variables or values (especially interesting if large number)
- check some overall pattern (statistical/ numerical summaries)
- center/scale variables
You can read the full post including source code here (Github). Here is an output file (html).
Example: Analyse missing values


Implemented more efficient message control on Gyrocam system, such as Set/Get Systems, Diagnostic, and Built-In-Test settings in System Controller CSCI. Updated existing Microsoft Visual Studio Test Graphical User Interface (GUI) significantly to implement new messages to validate embedded software. Updated Interface Control Document for new messages.
Worked over the summer in creating efficient movement patterns for modularized robots moving through a granular medium.
Designed and constructed an automated,
roaming turret to recognize and shoot faces,
dubbed The Burglar Buster.
Designed and programmed a single-player RPG using Python,
based on adventuring and fighting through randomly
generated map designs.
Worked as a research assistant to Prof. Howie
Choset by fabricating experimental mechanical
designs in Solidworksfor a multitude of projects.


Changing the strength of forces or number of particles will alter the structures they form with each other.


You could own Ed Sheeran's guitar - as star's personal belongings go up for sale
by Andrew PapworthFans of Ed Sheeran could have the chance to play Thinking Out Loud and Supermarket Flowers on the singer's very own personal guitar - when it goes up for auction in Suffolk next month.
The Castle on the Hill singer donated hundreds of his personal belongings to the St Elizabeth Hospice shop in his hometown of Framlingham ahead of his homecoming gigs in Ipswich this year.
Included in the haul were items of his clothing including shirts, shoes, flip-flops, a denim jacket and trainers, as well as a signed Hoax surfboard.
And now Bishop and Miller Auctioneers has released more details about the items so generously given by Ed, ahead of the big sale at its Stowmarket auction house on Saturday, December 7.
Top of the list is an autographed Lowden guitar, as used by Sheeran to craft his songs and play his very best tunes on tour.
The legend's musical instrument is set to fetch between £3,000 and £5,000 at the sale - which will raise money for St Elizabeth Hospice services such as Zest, designed to help young people.
However people may be able to get a piece of the Suffolk popstar for as little as £20 when the auction gets under way at 10am on the day.
People will be able to view all the items for sale at a special preview party being held at Bishop and Miller's Stowmarket salerooms on Wednesday, December 4.
Oliver Miller, managing director of Bishop and Miller, said: "Excitement is building as we're on the countdown to our second Ed Sheeran Auction with Zest.
"We're really pleased to be able to confirm we have one of Ed's Lowden Guitars to sell, which is also signed.
"For the second time we are offering fans of the superstar the chance to own their very own music memorabilia, and it's great that given the variety of items available there is something for everyone and every budget.
"We have also usefully planned the auction in time for Christmas so we hope to help out with your festive shopping needs too."
Sheeran himself said after donating the items in August that he was "really pleased" to help the hospice, adding: "The care of young adults living with terminal illnesses is vital and I'm so pleased that the auction will raise both awareness and support for this important cause."
Helen Finlinson, young adult care and transition lead for St Elizabeth Hospice, said: "We're immensely grateful to have the support of Bishop and Miller and the Sheeran family with another auction.
"Not only will it generate much-needed funds to support our work, but also highlights the support we provide to young adults with complex palliative care needs."
Lowden Guitars is a world-recognised brand which Sheeran is personally involved with, due to his friendship with the firm's founder George Lowden.
Mr Lowden said: "We have been honoured over the past years that Ed has chosen to play Lowden guitars both on-stage and in the studio.
"We are delighted to have established a close on-going relationship which has borne fruit recently through the birth of Sheeran by Lowden."
For more information, visit Bishop and Miller Auctions' website www.bishopandmillerauctions.co.uk
To be placed on the invite list for the preview party, email enquiries@bm-auctions.co.uk


Generate remainning courses list
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SAVE
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SpaceX sends up 60 mini-satellites with plans for thousands more
CAPE CANAVERAL, Nov 12 — The private SpaceX company yesterday launched a second set of mini-satellites as it builds a huge constellation of the small orbiting devices aimed at greatly expanding internet access around the globe.
A Falcon-9 rocket launched from Cape Canaveral, Florida, placed 60 mini-satellites in orbit, joining 60 others launched in May.
The American company's Starlink network could one day total 42,000 satellites — resulting in far more crowded skies and raising concerns among some scientists.
Scenes of the launch were broadcast live by SpaceX, a company created by the entrepreneurial Elon Musk, who is also chief executive of Tesla Inc.
SpaceX's goal is to control a huge share of the future internet market from space.
But several rivals have the same ambition, including London-based startup OneWeb and giant US retailer Amazon, whose Project Kuiper is far less advanced.
Musk hopes eventually to control 3 to 5 per cent of the global internet market — a share valued at US$30 billion (RM123.8 billion) a year, or 10 times what SpaceX is earning from its space launches.
Musk's ultimate goal is to finance the development of his rockets and space vessels. SpaceX's boss entertains a long-time dream of colonizing Mars.
His California-based company has so far received authorisation from US authorities to launch 12,000 satellites in several different orbits, and it has applied to launch as many as 30,000 more.
Starlink is designed to provide high-speed internet connections on Earth.
Its mini-satellites will orbit at relatively low altitude (550 kilometres for the first ones), allowing quick transmission times.
SpaceX says its satellite constellation will be operational for Canada and the northern US by next year.
It says 24 more launches will be needed to extend coverage to the entire globe.
At present, there are slightly more than 2,100 active satellites in orbit around the Earth.
The idea of adding 42,000 has some scientists worried.
Astronomers say the proliferation of the bright metallic satellites could seriously degrade the night view, interfering with telescopes trained on space.
Others fear that the far more crowded skies will result in expensive collisions between satellites. — AFP-Relaxnews


My name is Jaime Andres Moreno Ramos, I am a Mechanical Engineer currently working at Ladrillera Fenix Tunja as General Manager


|
Ext.NET Mobile
4.1.0
.NET Component Framework for Enterprise Level Apps
|
Public Attributes | |
| const string | ID_PATTERN = @"#\{[\w\.]+?\}" |
| const string | SELECT_PATTERN = @"\${[^{}]+}" |
| const string | MARKERS_PATTERN = @"^<.+?>" |
Properties | |
| bool | Disable [get, set] |
| True to disable any parsing More... | |
| bool | DisableDuringDirectEvent [get, set] |
| True to disable any parsing during ajax requests only More... | |
| bool | IDParsingDisable [get, set] |
| True to disable ID parsing - #{ID} ID parsing transforms ID to ClientID, if widget with required id is not found then we assume that it is select token More... | |
| bool | SelectParsingDisable [get, set] |
| True to disable select parsing - ${ID} Select parsing transforms passed ID to Ext.get(ID) - client side search of DOM element More... | |
| bool | DirectMethodsParsingDisable [get, set] |
| True to disable direct methods parsing This parsing transforms #{DirectMethods} marker to current direct method namespace More... | |
| bool | AlertParsingDisable [get, set] |
| True to disable alert parsing Alert parsing transforms !{title} to alert calling More... | |
| bool | FunctionParsingDisable [get, set] |
| True to disable function parsing Function parsing transforms #(js_code) to function(){js_code} More... | |
| string | IDPatternPrefix [get, set] |
| Regex pattern to search ID tokens By default, ID token is #{ID} and default prefix is # More... | |
| string | SelectPatternPrefix [get, set] |
| Regex pattern to search select tokens By default, ID token is ${ID} and default prefix is $ More... | |
| string | DirectMethodsPattern [get, set] |
| Regex pattern to search direct methods tokens Default pattern is #{DirectMethods} More... | |
| string | RawPrefix [get, set] |
| By default, ={} is raw token = is defualt raw prefix More... | |
| string | RawMarker [get, set] |
| If property values starts with <raw> then such value is rendered as raw More... | |
| string | AlertPrefix [get, set] |
| By default, !{} is alert token ! is defualt alert prefix More... | |
| string | FunctionPrefix [get, set] |
By default, #() is function token is defualt function prefixMore... | |
| const string Ext.Net.Mobile.TokenSettings.ID_PATTERN = @"#\{[\w\.]+?\}" |
| const string Ext.Net.Mobile.TokenSettings.SELECT_PATTERN = @"\${[^{}]+}" |
|
getset |
True to disable alert parsing Alert parsing transforms !{title} to alert calling
|
getset |
By default, !{} is alert token ! is defualt alert prefix
|
getset |
True to disable direct methods parsing This parsing transforms #{DirectMethods} marker to current direct method namespace
|
getset |
Regex pattern to search direct methods tokens Default pattern is #{DirectMethods}
|
getset |
True to disable any parsing
|
getset |
True to disable any parsing during ajax requests only
|
getset |
True to disable function parsing Function parsing transforms #(js_code) to function(){js_code}
|
getset |
By default, #() is function token
|
getset |
True to disable ID parsing - #{ID} ID parsing transforms ID to ClientID, if widget with required id is not found then we assume that it is select token
|
getset |
Regex pattern to search ID tokens By default, ID token is #{ID} and default prefix is #
|
getset |
If property values starts with <raw> then such value is rendered as raw
|
getset |
By default, ={} is raw token = is defualt raw prefix
|
getset |
True to disable select parsing - ${ID} Select parsing transforms passed ID to Ext.get(ID) - client side search of DOM element
|
getset |
Regex pattern to search select tokens By default, ID token is ${ID} and default prefix is $


A Large Heading
A Smaller Heading
The Smallest Heading
A bold word and an italicized word!
View the CS50 Website!
An unordered list:
An ordered list:
- foo
- bar
- baz
An image:
| Ocean |
Average Depth |
Maximum Depth |
| Pacific |
4280 m |
10911 m |
| Atlantic |
3646 m |
8486 m |


Full Stack developer. Software developer with more than 5 years of programming experience
Actualy working with java/javascript/android to build beautiful and complex software solutions.
Good knowledges at Sql and NoSql databases to offer solutions for a well builded database structure.
I do my job with passion so it is easy for me to turn idea into a good software solution.
Confortable in team work and capable to write beautiful code that can be readable from others.
Almost full stack programmer with knowledges in server - desktop - web - mobile applications.
Interested in learnimg new technologies.
With offices in France and in the US, its main innovation, MyEbookFactory, works as a powerful platform and database that enables you to edit and enrich your books from A to Z, and publish them simultaneously on every reading device (printed books, e-readers, tablets, smartphones, websites)
Check it outKreatx is a joint effort to create a unique software company that puts big efforts on discovering new, fast, efficient and cost effective techniques for software development and then applying those techniques to build the best solution for our customers.
Check it outPrius Solution is a Software company focused on providing medium to enterprise level business software solutions. My role at the Prius Solution is to develop new applications as part of a team. My focus is to work in team using latest and appropriate technologies, tools and patterns and assure quality and performance.
Check it outLogical is a dynamic software solutions company, founded upon the principle of providing solutions for Sales, Marketing, Logistics & Distribution. Although our expertise lays in applying Information Technology and Software Development Skills to create our solutions, we are never oblivious to common sense.
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Configure the Windows access control system to comply with the PCI DSS Requirement 7.2.
The access control lists implemented in Windows may be used to satisfy the PCI DSS Requirement 7.2 if properly configured.
Perform the following tasks to configure the Windows access control system in compliance with PCI DSS:
Define data access requirements. Prepare access authorization documents for each employee based on job-related needs for data access. Have management authorize all data access authorization documents.
For more information about configuring the Windows Access Control System, please see "File and Folder Permissions" at http://technet.microsoft.com/en-us/library/bb727008.aspx.


{% extends "office/base_headline.html" %} {% load i18n %} {% load qrcode_inline %} {% block headline %}{% trans "Eternal log" %}{% endblock %} {% block content %}
All changes in byro are recorded in an internal audit log file. Each entry is represented by its hash value and is linked to the previous entry in a hash chain. Proof of the hash value at some point in time carries within its proof of all hash values, and with them all log entries, before it.
This page serves as a publicly visible notary of the current hash value. It can be printed, downloaded, or saved in the web archive.
{% endblocktrans %}


Goldly makes it easy to keep track of all the places you've been and find new ones to explore,letting you store personal ratings, photos, notes, and more. Finally, something that satisfies the obsessive restaurant tracker in you.
Learn MoreBorn out of frustration with the current options for restaurant tracking, Goldly gives users the power to organize their favorite restaurants to their hearts content. While apps like Yelp, Foursquare, Swarm, and Google Maps allow you to keep favorites or lists to some extent, none offer a full-featured solution for those that want complete control in organizing and detailing their food exploits.
In existing apps, photos, reviews, notes and statuses are all built to be in the spotlight. Goldly focuses on private curation of personal content; easily accessible, organizable, and customizable.
By using the Foursquare database as the foundation for your personal food log, Goldly allows you to share content with the world when you see fit. Easily trade food recommendations with your friends, publish reviews, and make check-ins all from one app.
I want thisInterested? Sign up, and we'll let you know when the Goldly app launches.


| fkTransforms reference pages |
t=T2D_SCALE(scale) t=T2D_SCALE(scale,t)
t=T2D_SCALE(scale) returns a transformation matrix t that represent a scaling by factor scale. Scale can be a scalar (unforma scaling along x and y dimensions) or a two-element vector that specifies the scaling factors for x and y dimensions separately.
t=T2D_SCALE(scale,t) applies scaling to existing transformation matrix.
| T2D_identity | Toolbox page | T2D_shear |


Oh snap!
Change a few things up and try submitting again.
[forgot.password.email.successfully.send]
[forgot.password.button]


{% extends "base.html" %} {% import 'bootstrap/wtf.html' as wtf %} {% block app_content %}
Files to be pushed to your own fork have been generated in {{ folder }}
Next steps consist in :
Could not generate the files.
Check on terminal to find out what is wrong. Please relaunch the wizard.
{% endif %} {% endblock %}


Thought i’d make a quick post as part of a reminder for me or for those coming from ActionScript to Android and wondering how to create a Timer. It’s no secret but took me some searching to find (what i think is) the correct way to use timers in Android while i was working on some stuff for MassRoute.
Within the Android SDK there is a Handler class. I won’t go into the specifics of Handler as there is a pretty good explanation within the documentation, but the basics is that you pass a Runnable object that will be invoked at a given time.
To run the timer once:
protected Handler taskHandler = new Handler(); protected void setTimer( long time ) { Runnable t = new Runnable() { public void run() { runNextTask(); } }; taskHandler.postAtTime( t, time ); } protected void runNextTask() { // run my task. }
[UPDATE 10/20/2010: After talking with Jesse Freeman over continuous delayed timers in using Runnable in Android development, we discovered that the previous solution didn't quite go the whole mile. This example has been updated to provide a continuous delayed timer that stops based on a flag]
To run the timer continuously at a given time:
// -- Class Members -- protected Handler taskHandler = new Handler(); protected Boolean isComplete = false; // -- Set Timer -- protected void setTimer( long time ) { final long elapse = 1000; Runnable t = new Runnable() { public void run() { runNextTask(); if( !isComplete ) { _taskHandler.postDelayed( this, elapse ); } } }; _taskHandler.postDelayed( t, elapse ); } protected void runNextTask() { // run my task. // determine isComplete. }


Test your knowledge with amazing and interesting facts, trivia and quizzes.
The quiz contains 20 questions from all levels.
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|
|||||||||||
| PREV NEXT | FRAMES NO FRAMES |
| Packages that use openjava.ptree | |
| openjava.mop | Provides classes that are fundamental to the design of the OpenJava Meta-Object Protocols (MOP). |
| openjava.ptree | |
| openjava.ptree.util | |
| openjava.syntax |
| Classes in openjava.ptree used by openjava.mop | |
| AllocationExpression
The AllocationExpression class represents
an expression which allocates a new object with its constructor. |
|
| ArrayAccess
The ArrayAccess represents
an array access. |
|
| ArrayAllocationExpression
The ArrayAllocationExpression class represents
an expression which allocates a new array object. |
|
| AssignmentExpression
The AssignmentExpression class represents
an assignment expression with an assignment operator. |
|
| CastExpression
The CastExpression class represents
a cast expression of parse tree. |
|
| ClassDeclaration
The ClassDeclaration class presents class declaraton node of parse tree. |
|
| CompilationUnit
The CompilationUnit class presents for the whole parse tree in a file. |
|
| ConstructorDeclaration
The ConstructorDeclaration class represents
constructor declaration node of the parse tree. |
|
| ConstructorInvocation
The ConstructorInvocation class presents expression statement node of parse tree |
|
| Expression
The Expression interface presents common interface to access Expression node of parse tree this interface is implements by |
|
| ExpressionList
The ExpressionList class presents for the node of parse tree of Expression |
|
| FieldAccess
The FieldAccess class represents
a field access like :
|
|
| FieldDeclaration
The FieldDeclaration class presents for node of parse tree. |
|
| MemberDeclarationList
The MemberDeclarationList class presents for the node of parse tree of MemberDeclaration |
|
| MethodCall
The MethodCall class represents
a method call expression. |
|
| MethodDeclaration
The MethodDeclaration class presents method declaration node of parse tree. |
|
| ModifierList
The ModifierList class presents for the node of parse tree of qualified name. |
|
| ParameterList
The ParameterList class presents for the node of parse tree of Parameter |
|
| ParseTree
The ParseTree class presents for the node of parse tree. |
|
| Statement
The Statement class presents common statement interface
of parse tree. |
|
| StatementList
The StatementList class presents for the node of parse tree of Statement |
|
| TypeName
The TypeName class represents a type specifier
node of parse tree. |
|
| VariableDeclaration
The VariableDeclaration class presents local variable declaration statement node of parse tree. |
| Classes in openjava.ptree used by openjava.ptree | |
| ArrayInitializer
The ArrayInitializer class presents initializer list of array elements. |
|
| CaseGroup
|
|
| CaseGroupList
The CaseGroupList class presents for the node of parse tree of CaseGroup |
|
| CaseLabel
The CaseLabel class presents for the ptree-node like "case 1 :" |
|
| CaseLabelList
The CaseLabelList class presents for the node of parse tree of CaseLabel |
|
| CatchBlock
The CatchBlock class presents catch node of parse tree |
|
| CatchList
The CatchList class presents for the node of parse tree of CatchBlock |
|
| ClassDeclaration
The ClassDeclaration class presents class declaraton node of parse tree. |
|
| ClassDeclarationList
The ClassDeclarationList class presents for the node of parse tree of ClassDeclaration |
|
| ConstructorInvocation
The ConstructorInvocation class presents expression statement node of parse tree |
|
| Expression
The Expression interface presents common interface to access Expression node of parse tree this interface is implements by |
|
| ExpressionList
The ExpressionList class presents for the node of parse tree of Expression |
|
| Leaf
The Leaf class is a token-node in the parse tree of OpenJava. |
|
| List
The List class presents for the list of parse trees. |
|
| Literal
The Literal class represents
a literal. |
|
| MemberDeclaration
The MemberDeclaration interface types ptree-node into the member declaration in the body of class. |
|
| MemberDeclarationList
The MemberDeclarationList class presents for the node of parse tree of MemberDeclaration |
|
| ModifierList
The ModifierList class presents for the node of parse tree of qualified name. |
|
| NonLeaf
The NonLeaf class presents for node of parse tree. |
|
| ObjectList
The ObjectList class presents for the node of parse tree
of Objects |
|
| Parameter
The Parameter class represents parameter node of parse tree. |
|
| ParameterList
The ParameterList class presents for the node of parse tree of Parameter |
|
| ParseTree
The ParseTree class presents for the node of parse tree. |
|
| ParseTreeException
|
|
| ParseTreeObject
The ParseTree class presents for the node of parse tree. |
|
| SelfAccess
The class SelfAccess represents an access to
|
|
| Statement
The Statement class presents common statement interface
of parse tree. |
|
| StatementList
The StatementList class presents for the node of parse tree of Statement |
|
| TypeName
The TypeName class represents a type specifier
node of parse tree. |
|
| Variable
The Variable class represents a type specifier
node of parse tree. |
|
| VariableDeclarator
The VariableDeclarator class presents variable declarator node of parse tree |
|
| VariableInitializer
The VariableInitializer class presents common interfaces to several initializer format interface VariableInitializer is implemented by Expression ArrayInitializer |
| Classes in openjava.ptree used by openjava.ptree.util | |
| AllocationExpression
The AllocationExpression class represents
an expression which allocates a new object with its constructor. |
|
| ArrayAccess
The ArrayAccess represents
an array access. |
|
| ArrayAllocationExpression
The ArrayAllocationExpression class represents
an expression which allocates a new array object. |
|
| ArrayInitializer
The ArrayInitializer class presents initializer list of array elements. |
|
| AssignmentExpression
The AssignmentExpression class represents
an assignment expression with an assignment operator. |
|
| BinaryExpression
The BinaryExpression class represents
an expression which consists of an operators and two operands. |
|
| Block
The Block class represents a node of parse tree of block statement like : |
|
| BreakStatement
The BreakStatement class represents
a break statement node of parse tree. |
|
| CaseGroup
|
|
| CaseGroupList
The CaseGroupList class presents for the node of parse tree of CaseGroup |
|
| CaseLabel
The CaseLabel class presents for the ptree-node like "case 1 :" |
|
| CaseLabelList
The CaseLabelList class presents for the node of parse tree of CaseLabel |
|
| CastExpression
The CastExpression class represents
a cast expression of parse tree. |
|
| CatchBlock
The CatchBlock class presents catch node of parse tree |
|
| CatchList
The CatchList class presents for the node of parse tree of CatchBlock |
|
| ClassDeclaration
The ClassDeclaration class presents class declaraton node of parse tree. |
|
| ClassDeclarationList
The ClassDeclarationList class presents for the node of parse tree of ClassDeclaration |
|
| ClassLiteral
The ClassLiteral class represents
an expression as a object of Class class,
which is suppoted since JDK 1.1. |
|
| CompilationUnit
The CompilationUnit class presents for the whole parse tree in a file. |
|
| ConditionalExpression
The ConditionalExpression class represents
a conditional expression like:
|
|
| ConstructorDeclaration
The ConstructorDeclaration class represents
constructor declaration node of the parse tree. |
|
| ConstructorInvocation
The ConstructorInvocation class presents expression statement node of parse tree |
|
| ContinueStatement
The ContinueStatement class represents
a continue statement node of parse tree. |
|
| DoWhileStatement
The DoWhileStatement class represents a do-while
statement node of parse tree. |
|
| EmptyStatement
The EmptyStatement class represents an empty statement node of parse tree. |
|
| Expression
The Expression interface presents common interface to access Expression node of parse tree this interface is implements by |
|
| ExpressionList
The ExpressionList class presents for the node of parse tree of Expression |
|
| ExpressionStatement
The ExpressionStatement class presents expression statement node of parse tree |
|
| FieldAccess
The FieldAccess class represents
a field access like :
|
|
| FieldDeclaration
The FieldDeclaration class presents for node of parse tree. |
|
| ForStatement
The ForStatement class represents a for statement
node of parse tree. |
|
| IfStatement
The IfStatement class represents a if statement node
of parse tree |
|
| InstanceofExpression
The InstanceofExpression represents
the expression like :
|
|
| LabeledStatement
The LabeledStatement class presents labeled statement node of parse tree |
|
| Leaf
The Leaf class is a token-node in the parse tree of OpenJava. |
|
| List
The List class presents for the list of parse trees. |
|
| Literal
The Literal class represents
a literal. |
|
| MemberDeclaration
The MemberDeclaration interface types ptree-node into the member declaration in the body of class. |
|
| MemberDeclarationList
The MemberDeclarationList class presents for the node of parse tree of MemberDeclaration |
|
| MemberInitializer
The InstanceInitilizer class represents instance initializer block of parse tree. |
|
| MethodCall
The MethodCall class represents
a method call expression. |
|
| MethodDeclaration
The MethodDeclaration class presents method declaration node of parse tree. |
|
| ModifierList
The ModifierList class presents for the node of parse tree of qualified name. |
|
| NonLeaf
The NonLeaf class presents for node of parse tree. |
|
| Parameter
The Parameter class represents parameter node of parse tree. |
|
| ParameterList
The ParameterList class presents for the node of parse tree of Parameter |
|
| ParseTree
The ParseTree class presents for the node of parse tree. |
|
| ParseTreeException
|
|
| ParseTreeObject
The ParseTree class presents for the node of parse tree. |
|
| ReturnStatement
The ReturnStatement class represents
a return statement node of parse tree. |
|
| SelfAccess
The class SelfAccess represents an access to
|
|
| Statement
The Statement class presents common statement interface
of parse tree. |
|
| StatementList
The StatementList class presents for the node of parse tree of Statement |
|
| SwitchStatement
The SwitchStatement class represents switch statement node
of parse tree. |
|
| SynchronizedStatement
The SynchronizedStatement class represents
a synchronized statement node of parse tree. |
|
| ThrowStatement
The ThrowStatement class represents
a throw statement node of parse tree. |
|
| TryStatement
The TryStatement class represents
a try statement node of parse tree. |
|
| TypeName
The TypeName class represents a type specifier
node of parse tree. |
|
| UnaryExpression
The UnaryExpression class presents for an expression which
consists of unary operator with one Expression. |
|
| Variable
The Variable class represents a type specifier
node of parse tree. |
|
| VariableDeclaration
The VariableDeclaration class presents local variable declaration statement node of parse tree. |
|
| VariableDeclarator
The VariableDeclarator class presents variable declarator node of parse tree |
|
| VariableInitializer
The VariableInitializer class presents common interfaces to several initializer format interface VariableInitializer is implemented by Expression ArrayInitializer |
|
| WhileStatement
The WhileStatement class presents while statement node of parse tree |
| Classes in openjava.ptree used by openjava.syntax | |
| Block
The Block class represents a node of parse tree of block statement like : |
|
| Expression
The Expression interface presents common interface to access Expression node of parse tree this interface is implements by |
|
| ParseTree
The ParseTree class presents for the node of parse tree. |
|
| Statement
The Statement class presents common statement interface
of parse tree. |
|
| TypeName
The TypeName class represents a type specifier
node of parse tree. |
|
| Variable
The Variable class represents a type specifier
node of parse tree. |
|
|||||||||||
| PREV NEXT | FRAMES NO FRAMES |


---
title: Travis CI User Documentation
layout: en
permalink: /
no_header: true
no_toc: true
short_title: true
---
New around here? Let's get you going.
Learn how to deploy to your hosting provider using Travis CI.
Learn about using Travis CI with your favourite programming language.


Numbers 3:48
And thou shalt give the money, wherewith the odd number of them is to be redeemed, unto Aaron and to his sons.


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To guarantee lossless delivery, a unique (increasing) sequence number (ID) is attached to every message.
The combination of the message's sender address and its ID identifies every message uniquely. To overcome message loss, sender and receiver agree on some start ID, e.g. TCP connection establishment involves the sender
and receiver exchanging their start sequence numbers in the SYN/ACK packets. Now the IDs of messages received from a sender S always have to monotonically increase: if message 56 was received from S, the next message
has to be 57. If a gap is detected, the receiver sends a retransmission request to the sender of the message. Upon receiving a retransmission request, the sender resends the message with the requested ID. Being able to
resend old messages requires the senders to store recently sent messages for some time, usually until it is know that the receiver(s) has/have received all messages below a certain ID. In this case the messages below
this ID may be deleted. When a receiver only sends retransmission requests when a gap is detected, the mechanism is called negative acknowledgment NAK. NAK is used in systems where message loss is infrequent, so NAKs
would only rarely have to be used to retransmit lost messages. When communication links are noisy and loss rate high, ACK schemes are preferred: a sender has to receive an acknowledgment from each receiver
of a message. If ACKs are not received, the message is resent until an ACK has been received. The idea of sliding windows is to keep track of the acknowledgements for each ID. However, a scheme in which a
sender send a single message (e.g. to multiple receivers in a group) and then waits for all ACKs is to slow: a sender should be able to send a number of messages and a separate thread should receive ACKs, and resend
messages with ACKs missing. The senders and receivers each maintain a window of messages for which no ACKs have been received: a window is essentially a sequence of message IDs, starting with a low water
mark and bounded by a high water mark. Whenever an ACK is received, the low and high water marks are advanced by 1, this allows 1 more ACK to be received, therefore sliding the window 1 to the right. When the window is
full, an ACK is either discarded, or some kind of flow control is used to throttle the sender until there is more space available. Sliding windows usually start out with a given size, however, more
sophisticated protocols will dynamically adapt the window size, trying to find an agreed-upon size between sender and receiver. The characteristics of sliding windows used at the sender and receiver
usually involve (but do not have to !)
- error correction (by retransmission),
- flow control and
- message ordering by sender (FIFO).
The latter property can easily be incorporated in a sliding window protocol, but sometimes, it is preferred to be implemented as a separate protocol for easier maintenance / replaceability. |
Sliding window is used by most connection oriented network protocol, among others, the Point-to-Point
protocol (PPP) which many people use to establish their home PC as temporary Internet node via a phone-line connection to an existing node. In fact, TCP also uses sliding window. Sliding Window Protocols assumes
two-way communication (full duplex). It uses two types of frames:
- Data
- Ack (sequence number of last correctly received frame)
The basic idea of sliding window protocol is that both sender and receiver keep a ``window'' of acknowledgment. The sender keeps the value of expected acknowledgment; while the receiver keeps the value
of expected receiving frame. When it receives an acknowledgment from the receiver, the sender advances the window. When it receives the expected frame, the receiver advances the window.
|
One Bit Sliding Window Protocol One bit sliding window protocol is also called
Stop-And-Wait protocol. In this protocol, the sender sends out one frame, waits for acknowledgment before sending next frame, thus the name Stop-And-Wait. Problem with Stop-And-Wait protocol is that it is very
inefficient. At any one moment, only in frame is in transition. The sender will have to wait at least one round trip time before sending next. The waiting can be long for a slow network such as satellite link. |
|
If there is one frame k missing, the receiver simply discard all subsequent frames k+1, k+2, ..., sending no acknowledgments. So the sender will retransmit
frames from k onwards. Figure 3-15(a) on page 208. This effectively sets the receiver window size to be 1. This can be a waste of bandwidth. |
|


--- layout: mapping properties: - name: name description: 'A descriptive name for the dataset' marginality: minimum functional: true operational: false guideline: "" url: "" - name: description description: 'A short summary describing a dataset' marginality: minimum functional: true operational: false guideline: Description url: 'https://docs.google.com/document/d/1ZxkUCLubazoEAslso5dR142oZ_ultvcBCZ5Y8b_Yp-I/edit?usp=sharing' - name: identifier description: 'The identifier property represents any kind of identifier for any kind of dataset' marginality: minimum functional: true operational: false guideline: 'Unique Identifier' url: 'https://docs.google.com/document/d/1KO2HBeQq-BcMgtwKDxFQfRKI1R8V-m4TRkTl_YEW5nw/edit?usp=sharing' - name: url description: 'The location of a page describing the dataset' marginality: minimum functional: true operational: true guideline: 'Location (URL)' url: 'https://docs.google.com/document/d/1wcLJ43G0MMvJCOXyrud5ChgsmvHdG4veWJjJZZt3dSk/edit?usp=sharing' - name: creator description: 'The creator/author of this dataset' marginality: minimum functional: true operational: true guideline: Originator url: 'https://docs.google.com/document/d/1vpvYTt4r4ijprvOx67ejpnJgaOuP-xhIkhhnyxS_nCI/edit?usp=sharing' - name: dateCreated description: 'The date on which the dataset was created' marginality: minimum functional: true operational: true guideline: 'Temporal coordinates' url: 'https://docs.google.com/document/d/1KB-scjM7sik59TEty_NyPjGOtf5gXSecOwXJlijWxF8/edit?usp=sharing' - name: license description: 'A license under which the dataset is distributed' marginality: minimum functional: true operational: true guideline: Availability url: 'https://docs.google.com/document/d/1X40HaojHiF6e928V2nsVDKXcCeNOYIW4Mgvsq_7fD4I/edit?usp=sharing' - name: dataStandard description: 'The standard in which the content of the dataset is represented' marginality: minimum functional: true operational: true guideline: "" url: "" - name: dateModified description: 'The date on which the dataset was most recently modified' marginality: minimum functional: false operational: true guideline: "" url: "" - name: structure description: 'The description of the structure of the dataset' marginality: minimum functional: false operational: true guideline: Schema url: 'https://docs.google.com/document/d/1ewcWDIJQTWglXGySv28ORMgqrurdQsD9_pDzn8ec7uc/edit?usp=sharing' - name: accessUrl description: 'The link to download the dataset' marginality: minimum functional: false operational: true guideline: "" url: "" - name: accessInterface description: 'The type of interface to present the dataset' marginality: minimum functional: false operational: true guideline: "" url: "" - name: includedeIn description: 'A dataset or data catalog which contains the dataset' marginality: recommended functional: true operational: true guideline: "" url: "" - name: measurementTechnique description: 'A technique or technology used in a dataset corresponding to the method used for measuring the corresponding variables' marginality: recommended functional: true operational: false guideline: "" url: "" - name: keywords description: 'Keywords or tags used to describe the dataset' marginality: recommended functional: true operational: false guideline: Keywords url: 'https://docs.google.com/document/d/10Yy-FcUHzDma-2-6gM2lE6f1EMgeW2N8iFL8-jFNttg/edit?usp=sharing' - name: variablesMeasured description: 'The variables that are measured in the dataset' marginality: recommended functional: true operational: false guideline: "" url: "" - name: format description: 'The format in which the content of the dataset is encoded to present the information, typically a MIME format' marginality: recommended functional: false operational: true guideline: 'Medium / Format' url: 'https://docs.google.com/document/d/1cd8cxKKgksdqaftPym24SmwOx7IxQdNebGiHQSCXT0M/edit?usp=sharing' - name: scientificType description: 'Scientific domain or type of the information provided in the datataset' marginality: recommended functional: false operational: true guideline: "" url: "" - name: includes description: 'A dataset or data catalog contained in the dataset' marginality: recommended functional: false operational: true guideline: "" url: "" - name: contentType description: 'Type of content provided in the dataset based on its origin and type of processes (raw, processed, summarised)' marginality: recommended functional: false operational: true guideline: "" url: "" - name: size description: 'Size of the dataset using a digital information multiple unit byte siymbol (MB, GB, PT, ...)' marginality: recommended functional: false operational: true guideline: "" url: "" - name: authentications description: 'Type of authentication required to access the dataset' marginality: recommended functional: false operational: true guideline: "" url: "" - name: version description: 'The version of the dataset' marginality: optional functional: true operational: true guideline: "" url: "" - name: metric description: 'Metric to provide some quantitative or qualitative information about the dataset' marginality: optional functional: true operational: true guideline: "" url: "" - name: sameAs description: 'Other URLs that can be used to access the dataset page' marginality: optional functional: true operational: false guideline: "" url: "" - name: spatialCoverage description: 'The location depicted or described in the content' marginality: optional functional: true operational: false guideline: 'Spatial coordinates' url: 'https://docs.google.com/document/d/124gKNFNvli_iv0UxJ-J8nasMXbwRgTTNoY5afpNXvBM/edit?usp=sharing' - name: temporalCoverage description: 'The property indicates the period that the content applies to' marginality: optional functional: true operational: false guideline: "" url: "" - name: citation description: 'A citation or reference to another work that describes the dataset' marginality: optional functional: true operational: false guideline: Citations url: 'https://docs.google.com/document/d/1P6g-8f8DMmPsm4jCXag9Sa-Utydg8hln6dWUvgCLHGs/edit?usp=sharing' - name: referenceCitation description: 'A citation or reference to that describes the dataset' marginality: optional functional: false operational: true guideline: 'Related publications' url: 'https://docs.google.com/document/d/1r8VMdMY8cHsBdjTHVAz7kK87IFh6auEF-UL6JMHFlEA/edit?usp=sharing' - name: compression description: 'Type of compression used in the dadataset' marginality: optional functional: false operational: true guideline: "" url: "" - name: authorisations description: 'Type of authorisation required to access the dataset' marginality: optional functional: false operational: true guideline: "" url: "" ---
| Property | Description | Functional | Operational | Marginality | RDA Metadata guideline |
|---|---|---|---|---|---|
| {{property.name}} | {{property.description}} | {% if property.functional %} {% else %} {% endif %} | {% if property.operational %} {% else %} {% endif %} | {{property.marginality}} | {% if property.guideline != "" %} {{property.guideline}} {% else %} No guideline yet {% endif %} |


Research indicates that 1 in every 8 infants is sexually abused, 2 in every 6 neglected, 2 in every 7 emotionally abused, 21% physically abused by maids in kenya between 2014 and 2018. Again, Currently the number of cases involving child abuse in terms of battering by maids is over 1200 cases in the media between 2014 to 2018.This shows that there is a growing number of parents who cannot trust to leave their children with their house helps . We predict that by 2020 , this number will have increased by a quarter. In the recent 5 years, two particular nanny incidents in Uganda and Nigeria went viral on the internet and continue to shock Africa and the world. In this section, I’ll share short videos and summaries of these events which have exposed the ugly side of the nanny problem and the urgent need to tackle this issue that is widespread across Africa.
Sometime back (2014), Jolly Tumuhiirwe, a nanny in a Ugandan household was caught on a hidden camera as she viciously beat, kicked and stomped on the 18-month old toddler she was hired to take care of. The video of this brutality (shown below) was shared by the father of the child on social media and it quickly went viral in Uganda and many parts of Africa. This video tells a horrifying story that unfortunately happens everyday in many homes on the continent.
In March 2015, Funmilayo, a newly hired nanny, kidnapped three kids, including an 11-month baby from their home in Lagos, Nigeria. For the next couple of days, the Orekoya household was severely traumatized as the kidnappers demanded a ransom of 13 million Naira (about $80,000) from the parents. The mother, a banker and co-breadwinner of the home, agonises and is visibly broken by the sudden loss of her three children to kidnappers, through the deception of a nanny she barely knew. The video below shows the Nanny confessing the Kidnapping incident.
Get a nanny to your home instantly.
Subscribe Now!Mama-chat room is a platform where the users get commmunicate to us and other users to give feedback as well as socialise as people from the same area and also checkout advertisements.

Subscribe Now!Mom-ager is a community based app established to provide peace of mind for busy mothers who cannot be with their young children while at work so have to leave them with the maids at home.As a partnership, we have managed to thoroughly screen the nannies that we shall use and worked hand in hand with the kenyan police to ensure safety of the children assigned to us by their parents. Unlike other daycare services, Mom-ager has both day and night services, provides transport facilities for the children whose parents will be interested in working with us so they do not have to get caught up in traffic jam dropping off and picking up their children. We also provide mobile nannies and those who work at the day-care centres.
“A united community is a peaceful community.”
To promote peace in our community by reducing on child abuse cases majorly caused by house helps by providing fully qualified personnel to take care of your children to ensure safety of our children under our care. While also working hand in hand with law enforcement. We intend to promote unity through the mother sharing groups on our App.


My name is Dipesh Mohanty, an aspiring Software Engineer
My Projects
arrow_forwardBug/Issue Tracker
Currently designing and developing a web app that allows users to track the progress of their issues/bugs/new
features in their personal projects. It also has a sync with the GitHub repository of the project.
Designed and developed a simplistic chat lobby app that allows users to create and chat in different chat rooms.
APIs developed using Flask in Python. Real-time streaming enabled using the Websockets library in Python. APIs and the websocket server are deployed and hosted on Heroku.


Gateway
BOT
07-Jul-18 04:02 PM
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[dscrdeql] <AndronicusBass-Founder> @DaylightHours
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[dscrdeql] <CombatWombat> i like it in other discord you get people that come in.. collect the rain withdraw then leave
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[dscrdeql] <NWhiskeyTango> Rain cloud surfing
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[dscrdeql] <NWhiskeyTango> ?helprain xp
[dscrdeql] <NWhiskeyTango> Type "?help rain xp"
[dscrdeql] <AndronicusBass-Founder> #bot-commands
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Introductory note: Queries may be addressed to<EMAIL_ADDRESS>This FAQ (which is being continuously updated as queries are raised and answered) may already provide the clarification you seek.
Question: Is current affiliation a consideration for the sponsorship?
Answer: Yes. The sponsorship is open only to regular full-time members of research institutions / universities / colleges in India. Post-doctoral fellows, doctoral students, and faculty on contract are considered regular members for its purposes.
Question: What if I don't have a passport yet?
Answer: You are well advised to apply for it immediately. You may respond with "Applied for" (to the question on the application form that asks for your passport number).
Question: What is meant by the "institutional bank account authorised to receive grant funds"? How do I find the details of that account?
Answer: The NBHM grant money can only be transferred to an account belonging to your institution (and not to any personal account). Typically an institution will have several accounts to receive funds from various grants. Contact the administration of your institution for details of the correct account. Your application will not be complete without them being filled in.


Rooted in Christ To Stop Human Traficking
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We originated at Rochester College and continue to serve the southeastern parts of Michigan.


Developing the Skills to Develop the Skills to Develop the Skills to Develop the Skills to Develop
I'm a recent transplant from the East Coast, now living in California. After spending years as a working musician I'm turning my attention to another highly creative and collaborative realm - web development!
I'm learning Ruby and a range of relevant technologies with the folks at Dev Bootcamp, and am really enjoying soaking all the insights and enthusiasm of its community. Check out my blog for some highlights of my learning experience!


This post sums up some of my work on MySQL resilience and high availability at Booking.com by presenting the current state of automated master and intermediate master recoveries via Pseudo-GTID & Orchestrator.
Booking.com uses many different MySQL topologies, of varying vendors, configurations and workloads: Oracle MySQL, MariaDB, statement based replication, row based replication, hybrid, OLTP, OLAP, GTID (few), no GTID (most), Binlog Servers, filters, hybrid of all the above.
Topologies size varies from a single server to many-many-many.  Something like this, give or take:
However as we are building our third data center (with MySQL deployments mostly completed) the graph turns more complex.
Two high availability questions are:
- What happens when an intermediate master dies? What of all its slaves?
- What happens when the master dies? What of the entire topology?
This is not a technical drill down into the solution, but rather on overview of the state. For more, please refer to recent presentations in September and April.
At this time we have:
- Pseudo-GTID deployed on all chains
- Pseudo-GTID based automated failover for intermediate masters on all chains
- Pseudo-GTID based automated failover for masters on roughly 30% of the chains.
- The rest of 70% of chains are set for manual failover using Pseudo-GTID.
Pseudo-GTID is in particular used for:
- Salvaging slaves of a dead intermediate master
- Correctly grouping and connecting slaves of a dead master
- Routine refactoring of topologies. This includes:
- Manual repointing of slaves for various operations (e.g. offloading slaves from a busy box)
- Automated refactoring (for example, used by our automated upgrading script, which consults with orchestrator, upgrades, shuffles slaves around, updates intermediate master, suffles back…)
- (In the works), failing over binlog reader apps that audit our binary logs.
One of our internal apps at Booking.com audits changes to our tables on various clusters. We used to use tungsten replicator, but have since migrated onto our own solution.
We have a binlog reader (uses open-replicator) running on a slave. It expects Row Based Replication, hence our slave runs with log-slave-updates, binlog-format=‘ROW’, to translate from the master’s Statement Based Replication. The binlog reader reads what it needs to read, audits what it needs to audit, and we’re happy.
However what happens if that slave dies?
In such case we need to be able to point our binlog reader to another slave, and it needs to be able to pick up auditing from the same point.
This sounds an awful lot like slave repointing in case of master/intermediate master failure, and indeed the solutions are similar. However our binlog reader is not a real MySQL server and does not understands replication. It does not really replicate, it just parses binary logs.
We’re also not using GTID. But we are using Pseudo-GTID. As it turns out, the failover solution is already built in by orchestrator, and this is how it goes:
Normal execution
Our binlog app reads entries from the binary log. Some are of interest for auditing purposes, some are not. An occasional Pseudo-GTID entry is found, and is being stored to ZooKeeper tagged as ”last seen and processed Pseudo-GTID”.
Upon slave failure
We recognize the death of a slave; we have other slaves in the pool; we pick another. Now we need to find the coordinates from which to carry on.
We read our “last seen and processed Pseudo-GTID”. Say it reads:
drop view if exists meta
._pseudo_gtid_hint__asc:56373F17:00000000012B1C8B:50EC77A1
. We now issue:
$ orchestrator -c find-binlog-entry -i new.slave.fqdn.com –pattern=‘drop view if exists meta
._pseudo_gtid_hint__asc:56373F17:00000000012B1C8B:50EC77A1
‘
The output of such command are the binlog coordinates of that same entry as found in the new slave’s binlogs:
binlog.000148:43664433
Pseudo-GTID entries are only injected once every few seconds (5 in our case). Either:
Orchestrator is really growing. And the amount of users (DBAs, sys admins) using it is growing. Which gives me a lot of immediate feedback in the form of “Look, there’s just too many options to move slaves around! Which ones should we use?”
TL;DR look at the two visualized commands below
They are enough
The “smart” commands to end all commands
So all relocation commands are important, and give you fine-grained, pin-pointed control of the method of topology refactoring. However, most of the time you just want to move those servers around. Which is why there’s a new “smart” mode which support these two commands, which you should be happy using:
- relocate: move a single slave to another position
- relocate-slaves: move all/some slaves of some server to another position.
What makes these commands Smart? You can move slaves around from anywhere to anywhere. And orchestrator figures out the bast execution path. If possible, it uses GTID. Not possible? Is Pseudo-GTID available? Great, using Pseudo-GTID. Oh, are there binlog servers involved? Really simple, use them. None of the above? Orchestrator will use “standard” binlog file:pos math (with limitations). Orchestrator will even figure out if multiple steps are necessary and will combine any of the above.
So you don’t have to remember all the possible ways and options. The visual cheatsheet now boils down to these two:
Let’s take a slightly deeper look
Orchestrator 1.4.340 is released. Not quite competing with the MySQL latest changelog, and as I haven’t blogged about orchestrator featureset in a while, this is a quick listing of orchestrator features available since my last publication:
- Supports GTID (Oracle & MariaDB)
- GTID still not being used in automated recovery – in progress.
- enable-gtid, disable-gtid, skip-query for GTID commands
- Supports binlog servers (MaxScale)
- Discovery & operations on binlog servers
- Understanding slave repositioning in a binlog-server architecture
- Smart mode: relocate & relocate-below commands (or Web/GUI drag-n-drop) let orchestrator figure out the best way of slave repositioning. Orchestrator picks from GTID, Pseudo GTID, binlog servers, binlog file:pos math (and more) options, or combinations of the above. Fine grained commands still there, but mostly you won’t need them.
- Crash recoveries (did you know orchestrator does that?):
- For intermediate master recovery: improved logic in picking the best recovery plan (prefer in-DC, prefer promoting local slave, supporting binlog server topologies, …)
- For master recovery: even better slave promotion; supports candidate slaves (prefer promoting such slaves); supports binlog server shared topologies
- Better auditing and logging of recovery cases
- Better analysis of crash scenarios, also in the event of lost VIPs, hanging connections; emergent checks in crash suspected scenarios
- recover-lite: do all topology-only recovery steps, without invoking external processes
- Better browser support: used to only work on Firefox and Chrome (and the latter has had issues), the Web UI should now work well on all browsers, at the cost of reduced d3 animation. More work still in progress.
- Faster, more parallel, less blocking operations on all counts; removed a lots of serialized code; less locks.
- Web enhancements
- More verbose drag-n-drop (operation hint; color hints)
- Drag-n-drop for slaves-of-a-server
- Replication/crash analysis dashboard
- Pools: orchestrator can be told about instance-to-pool association (submit-pool-instances command)
- And can then present pool status (web)
- Or pool hints within topologies (web)
- Or queried for all pools (cluster-pool-instances command)
- Other:
- Supports MySQL 5.7 (tested with 5.7.8)
- Configurable graphite path for metrics
- –noop flag; does all the work except for actually changing master on slaves. Shows intentions.
- Web (or cli which-cluster-osc-slaves command) provide list of control slaves to use in pt-osc operation
- hostname-unresolve: force orchestrator to unresolve a fqdn into VIP/CNAME/… when issuing a CHANGE MASTER TO
- 3rd party contributions (hey, thanks!) include:
- More & better SSL support
- Vagrant templates
- For developers:
- Orchestrator now go-gettable. Just go get github.com/outbrain/orchestrator
- Improved build script; supports more architectures
Pseudo GTID is a technique where we inject Globally Unique entries into MySQL, gaining GTID abilities without using GTID. It is supported by orchestrator and described in more detail here, here and here.
Quick recap: we can join two slaves to replicate from one another even if they never were in parent-child relationship, based on our uniquely identifiable entries which can be found in the slaves’ binary logs or relay logs. Having Pseudo-GTID injected and controlled by us allows us to optimize failovers into quick operations, especially where a large number of server is involved.
Ascending Pseudo-GTID further speeds up this process for delayed/lagging slaves.
Recap, visualized
(but do look at the presentation):
- Find last pseudo GTID in slave’s binary log (or last applied one in relay log)
- Search for exact match on new master’s binary logs
- Fast forward both through successive identical statements until end of slave’s applied entries is reached
- Point slave into cursor position on master
What happens if the slave we wish to reconnect is lagging? Or perhaps it is a delayed replica, set to run 24 hours behind its master?
The naive approach would expand bullet #2 into:
- Search for exact match on master’s last binary logs
- Unfound? Move on to previous (older) binary log on master
- Repeat
The last Pseudo-GTID executed by the slave was issued by the master over 24 hours ago. Suppose the master generates one binary log per hour. This means we would need to full-scan 24 binary logs of the master where the entry will not be found; to only be matched in the 25th binary log (it’s an off-by-one problem, don’t hold the exact number against me).
Ascending Pseudo GTID
Since we control the generation of Pseudo-GTID, and since we control the search for Pseudo-GTID, we are free to choose the form of Pseudo-GTID entries. We recently switched into using Ascending Pseudo-GTID entries, and this works like a charm. Consider these Pseudo-GTID entries:
In two weeks time I will be presenting Pseudo GTID and Easy Replication Topology Management at Percona Live. From the time I submitted the proposal a LOT has been developed, experimented, deployed and used with both Pseudo GTID and with orchestrator. In my talk I will:
- Suggest that you skip the “to GTID or not to GTID” question and go for the lightweight Pseudo GTID
- Show how Pseudo GTID is used in production to recover from various replication failures and server crashes
- Do an outrageous demonstration
- Tell you about 50,000 successful experiments and tests done in production
- Show off orchestrator and its support for Pseudo GTID, including automated crash analysis and recovery mechanism.
I will further show how the orchestrator tooling makes for a less restrictive, more performant, less locking, non-intrusive, trusted and lightweight replication topology management solution.
This coming Sunday I'll be presenting Pseudo GTID and easy replication management at FOSDEM, Brussels. There's been a lot of development on Pseudo GTID these last few weeks. In this talk I'll show you how you can use Pseudo GTID instead of "normal" GTID to easily repoint your slaves, recover from intermediate master failure, promote slaves to masters as well as emply crash safe replication without crash safe replication. Moreover, I will show how you can achieve all the above with less constraints than GTID, and for bulk operations -- with less overhead and in shorter time.
Orchestrator release 1.2.7-beta now supports semi-automatic slave promotion to master upon master death, via Pseudo GTID.
When the master is dead, orchestrator automatically picks the most up-to-date slaves and marks them as “Master candidates”. It allows a /api/make-master call on such a slave (S), in which case it uses Pseudo GTID to enslave its siblings, and set S as read-only = 0. All we need to do is click the “Make master” button.
Orchestrator 1.2.1-beta supports Pseudo GTID (read announcement): a means to refactor the replication topology and connect slaves even without direct relationship; even across failed servers. This post illustrates two such scenarios and shows the visual way of mathcing/re-synching slaves.
Of course, orchestrator is not just a GUI tool; anything done with drag-and-drop is also done via web API (in fact, the drag-and-drop invoke the web API) as well as via command line. I’m mentioning this as this is the grounds for failover automation planned for the future.
Scenario 1: the master unexpectedly dies
The master crashes and cannot be contacted. All slaves are stopped as effect, but each in a different position. Some managed to salvage relay logs just before the master dies, some didn’t. In our scenario, all three slaves are at least caught up with the relay log (that is, whatever they managed to pull through the network, they already managed to execute). So they’re otherwise sitting idle waiting for something to happen. Well, something’s about to happen.
Note the green “Safe mode” button to the right. This means operation is through calculation of binary log files & positions with relation to one’s master. But the master is now dead, so let’s switch to adventurous mode; in this mode we can drag and drop slaves onto instances normally forbidden. At this stage the web interface allows us to drop a slave onto its sibling or any of its ancestors (including its very own parent, which is a means of reconnecting a slave with its parent). Anyhow:
We notice that orchestrator is already kind enough to say which slave is best candidate to be the new master (<IP_ADDRESS>:22990): this is the slave (or one of the slaves) with most up-to-date data. So we choose to take another server and make it a slave of <IP_ADDRESS>:22990:
orchestrator 1.2.1 BETA is released. This version supports Pseudo GTID, and provides one with powerful refactoring of one’s replication topologies, even across failed instances.
Depicted: moving a slave up the topology even though its local master is inaccessible
Enabling Pseudo-GTID
You will need to:
- Inject a periodic unique entry onto your binary logs
- Configure orchestrator to recognize said entry.
Pseudo GTID injection example
We will use the event scheduler (must be enabled) to inject an entry every 10 seconds, recognized both in statement-based and row-based replication.
create database if not exists meta;
drop event if exists meta.create_pseudo_gtid_view_event;
delimiter ;;
create event if not exists
meta.create_pseudo_gtid_view_event
on schedule every 10 second starts current_timestamp
on completion preserve
enable
do
begin
set @pseudo_gtid := uuid();
set @_create_statement := concat(‘create or replace view meta.pseudo_gtid_view as select
Make sure to enable event_scheduler in your my.cnf config file.
An entry in the binary logs would look like this:
This post describes in detail the method of using Pseudo GTID to achieve unplanned replication topology changes, i.e. connecting two arbitrary slaves, or recovering from a master failure even as all its slaves are hanging in different positions.
Please read Pseudo GTID and Pseudo GTID, RBR as introduction.
Consider the following case: the master dies unexpectedly, and its three slaves are all hanging, not necessarily at same binary log file/position (network broke down while some slaves managed to salvage more entries into their relay logs than others)
(Did you notice the “Candidate for master” message? To be discussed shortly)
GTID
With GTID each transaction (and entry in the binary log) is associated with a unique mark – the Global Transaction ID. Just pick the slave with the most advanced GTID to be the next master, and just CHANGE MASTER TO MASTER_HOST=‘chosen_slave’ on the other slaves, and everything magically works. A slave knows which GTID it has already processed, and can look that entry on its master’s binary logs, resuming replication on the one that follows.
How does that work? The master’s binary logs are searched for that GTID entry. I’m not sure how brute-force this is, since I’m aware of a subtlety which requires brute-force scan of all binary logs; I don’t actually know if it’s always like that.
Pseudo GTID
We can mimick that above, but our solution can’t be as fine grained. With the injection of Pseudo GTID we mark the binary log for unique entries. But instead of having a unique identifier for every entry, we have a unique identifier for every second, 10 seconds, or what have you, with otherwise normal, non-unique entries in between our Pseudo GTID entries.
Recognizing which slave is more up to date
Given two slaves, which is more up to date?
- If both replicate(d) from same master, a SHOW SLAVE STATUS comparison answers (safe method: wait till SQL thread catches up with broken IO thread, compare relay_master_log_file, exec_master_log_pos on both machines). This is the method by which the above “Candidate for master” message is produced.
- If one is/was descendent of the other, then obviously it is less advanced or equals its ancestor.
- Otherwise we’re unsure - still solvable via bi-directional trial & error, as explained later on.
For now, let’s assume we know which slave is more up to date (has received and executed more relay logs). Let’s call it S1, whereas the less up-to-date will be S2. This will make our discussion simpler.
Pseudo GTID is a method to implement a GTID-like solution where slaves are easily connected to one another. This blog post and the following ones will describe work in progress (some 80% completed), where simulation of GTID makes for a good enough basis for refactoring replication topologies. I’m coding this in orchestrator, which already provides a substantial infrastructure support for this.
The final goal: orchestrator will allow you to move a slave below another, using only the data available by those two slaves. The usage is obvious:
- Easy master failover (master dead? Orchestrator will choose the most advanced slave to promote and make it master of its siblings)
- Slave promotion in complex topologies (with deep nested topologies, be able to move a slave up the hierarchy even if its local master is corrupted).
This can all happen with your normal, non GTID, MySQL replication, using your normal binary log files & positions.
This work in progress is inspired by Sam Lambert at GitHub, who has worked on a similar solution with different implementation. I also recall discussions with other DBAs having similar solution.
Pseudo GTID
First thing’s first, the basis for proposed solution is a pseudo-GTID. A unique entry in the binary logs (not necessarily sequential; not necessarily in ascending order). While in GTID implementations we have a unique identifier for each entry in the binary log, with pseudo-GTID we accept an occasional (or frequent) unique entry in the binary log.
There are many ways to do so. Certainly a client can generate a unique Id and invoke some statement on MySQL involving that ID. That would serve as valid grounds for the proposed solution. But I like things to be contained within MySQL. Consider, for example, the following event, which would be my preferred choice in Statement Based Replication (for RBR solution, see next post):
drop table if exists test.pseudo_gtid;
create table if not exists test.pseudo_gtid (
id int unsigned not null primary key,
ts timestamp,
gtid varchar(64) charset ascii
);
drop event if exists test.update_pseudo_gtid_event;
delimiter ;;
create event if not exists
test.update_pseudo_gtid_event
on schedule every 10 second starts current_timestamp
on completion preserve
enable
do
begin
set @pseudo_gtid := uuid();
insert into test.pseudo_gtid (id, ts, gtid) values (1, NOW(), @pseudo_gtid) on duplicate key update ts=NOW(), gtid=VALUES(gtid);
end
;;
delimiter ;
The above is based on Making UUID() and RAND() replication safe. What do we get? Once in 10 seconds (or what have you), a unique entry is written to the binary log.


Buhari rules out seeking third term
by Timileyin OmilanaNigeria’s President Muhammadu Buhari Friday said he has no intention to seek a third term as the leader of Africa’s largest economy.
Nigerian constitution permits a maximum of two terms for governors and president. But rumours were rife that Buhari, who once led the country as a general, may seek another term.
For him to do that, the constitution will need to be amended. But the president ultimately ruled that out on Friday evening.
“I said you should read the Constitution because I am not going to make a mistake,” Buhari said at the meeting of the National Executive Council of the ruling All Progressives Congress.
“Besides the age, I am not going to contest for third term because I will go by the Constitution. The Constitution says two-terms. I’m going to be frank here because I won’t be needing anybody’s vote.”


Welcome to my page! My name is Maddie Moo and I am 12 years old. I was welcomed into the Bendiner home in 2009 when I was just a puppy. My mom found me on the way to pick up my human siblings from work. My dog siblings and I were being given away for free. I ran right up to my new owner and knew this is the human mom I want to be with. I am a border collie bundle of joy. My favorite snacks are marshmallows, cheese, and chicken. At the start of 2020, I have started a growing a cyst on my stomach that gets bigger and bigger everyday. Later this year, I have a risky surgery scheduled. My family just wants me to know how much I'm loved.
My Favorite Snacks:- Anything that my family is currently eating
- Black Licorice (in moderation!)
- Marshmallows
- Cheese products
- If given the chance, I'd love to try a squirrel


The repository APIs are the means for accessing metadata from any type of repository.
Note: currently, only metadata retrieval is available. As more of the application moves to this base, artifact content may be read using a stream, for example.
A repository request works in the following sequence:
Currently storage only supports obtaining information as well. In the future, the ability to modify the storage will be made available for plugins such as purging, etc.
More information can be found in the storage metadata resolver class.


public class Trigger
extends java.lang.Object
It is very easy to link a button to a command. For instance, you could link the trigger button of a joystick to a "score" command.
It is encouraged that teams write a subclass of Trigger if they want to have something unusual
(for instance, if they want to react to the user holding a button while the robot is reading a
certain sensor input). For this, they only have to write the get()
method to get
the full functionality of the Trigger class.
| Constructor and Description |
|---|
Trigger(BooleanSupplier isActive)
Creates a new trigger with the given condition determining whether it is active.
|
| Modifier and Type | Method and Description |
|---|---|
Trigger |
and(Trigger trigger)
Composes this trigger with another trigger, returning a new trigger that is active when both
triggers are active.
|
Trigger |
cancelWhenActive(CommandBase command)
Cancels a command when the trigger becomes active.
|
boolean |
get()
Returns whether or not the trigger is active.
|
Trigger |
negate()
Creates a new trigger that is active when this trigger is inactive, i.e. that acts as the
negation of this trigger.
|
Trigger |
or(Trigger trigger)
Composes this trigger with another trigger, returning a new trigger that is active when either
trigger is active.
|
Trigger |
toggleWhenActive(CommandBase command)
Toggles a command when the trigger becomes active.
|
Trigger |
toggleWhenActive(CommandBase command,
boolean interruptible)
Toggles a command when the trigger becomes active.
|
Trigger |
whenActive(CommandBase command)
Starts the given command whenever the trigger just becomes active.
|
Trigger |
whenActive(CommandBase command,
boolean interruptible)
Starts the given command whenever the trigger just becomes active.
|
Trigger |
whenActive(Runnable toRun,
SubsystemBase... requirements)
Runs the given runnable whenever the trigger just becomes active.
|
Trigger |
whenInactive(CommandBase command)
Starts the command when the trigger becomes inactive.
|
Trigger |
whenInactive(CommandBase command,
boolean interruptible)
Starts the command when the trigger becomes inactive.
|
Trigger |
whenInactive(Runnable toRun,
SubsystemBase... requirements)
Runs the given runnable when the trigger becomes inactive.
|
Trigger |
whileActiveContinuous(CommandBase command)
Constantly starts the given command while the button is held.
|
Trigger |
whileActiveContinuous(CommandBase command,
boolean interruptible)
Constantly starts the given command while the button is held.
|
Trigger |
whileActiveContinuous(Runnable toRun,
SubsystemBase... requirements)
Constantly runs the given runnable while the button is held.
|
Trigger |
whileActiveOnce(CommandBase command)
Starts the given command when the trigger initially becomes active, and ends it when it becomes
inactive, but does not re-start it in-between.
|
Trigger |
whileActiveOnce(CommandBase command,
boolean interruptible)
Starts the given command when the trigger initially becomes active, and ends it when it becomes
inactive, but does not re-start it in-between.
|
public Trigger(BooleanSupplier isActive)
isActive
- returns whether or not the trigger should be activepublic boolean get()
This method will be called repeatedly a command is linked to the Trigger.
public Trigger whenActive(CommandBase command, boolean interruptible)
command
- the command to startinterruptible
- whether the command is interruptiblepublic Trigger whenActive(CommandBase command)
command
- the command to startpublic Trigger whenActive(Runnable toRun, SubsystemBase... requirements)
toRun
- the runnable to runrequirements
- the required subsystemspublic Trigger whileActiveContinuous(CommandBase command, boolean interruptible)
CommandBase.schedule(boolean)
will be called repeatedly while the trigger is active, and
will be canceled when the trigger becomes inactive.
command
- the command to startinterruptible
- whether the command is interruptiblepublic Trigger whileActiveContinuous(CommandBase command)
CommandBase.schedule(boolean)
will be called repeatedly while the trigger is active, and
will be canceled when the trigger becomes inactive. The command is set to be interruptible.
command
- the command to startpublic Trigger whileActiveContinuous(Runnable toRun, SubsystemBase... requirements)
toRun
- the runnable to runrequirements
- the required subsystemspublic Trigger whileActiveOnce(CommandBase command, boolean interruptible)
command
- the command to startinterruptible
- whether the command is interruptiblepublic Trigger whileActiveOnce(CommandBase command)
command
- the command to startpublic Trigger whenInactive(CommandBase command, boolean interruptible)
command
- the command to startinterruptible
- whether the command is interruptiblepublic Trigger whenInactive(CommandBase command)
command
- the command to startpublic Trigger whenInactive(Runnable toRun, SubsystemBase... requirements)
toRun
- the runnable to runrequirements
- the required subsystemspublic Trigger toggleWhenActive(CommandBase command, boolean interruptible)
command
- the command to toggleinterruptible
- whether the command is interruptiblepublic Trigger toggleWhenActive(CommandBase command)
command
- the command to togglepublic Trigger cancelWhenActive(CommandBase command)
command
- the command to cancelpublic Trigger and(Trigger trigger)
trigger
- the trigger to compose withpublic Trigger or(Trigger trigger)
trigger
- the trigger to compose withpublic Trigger negate()


Consult the documentation in package target.
Consult the documentation in package target.
Consult the documentation in package target.
Consult the documentation in package target.
Consult the documentation in package target.
Consult the documentation in package target.
When defining a field, the Scala compiler creates up to four accessors for it: a getter, a setter, and if the field is annotated with
@BeanProperty
, a bean getter and a bean setter.For instance in the following class definition
there are six entities which can carry the annotation
@myAnnot
: the constructor parameter, the generated field and the four accessors.By default, annotations on (
val
-,var
- or plain) constructor parameters end up on the parameter, not on any other entity. Annotations on fields by default only end up on the field.The meta-annotations in package
scala.annotation.target
are used to control where annotations on fields and class parameters are copied. This is done by annotating either the annotation type or the annotation class with one or several of the meta-annotations in this package.Annotating the annotation type
The target meta-annotations can be put on the annotation type when instantiating the annotation. In the following example, the annotation
@Id
will be added only to the bean gettergetX
.In order to annotate the field as well, the meta-annotation
@field
would need to be added.The syntax can be improved using a type alias:
Annotating the annotation class
For annotations defined in Scala, a default target can be specified in the annotation class itself, for example
This only changes the default target for the annotation
myAnnotation
. When instantiating the annotation, the target can still be specified as described in the last section.


org.jclouds.savvis.vpdc.domain
Classes
Builder
FirewallRule
FirewallService
Link
Network
NetworkConfigSection
NetworkConnectionSection
Org
Resource
ResourceImpl
Status
Task
TaskError
VDC
VM
VMSpec


This is my submission
for the first week of
Web Developer Bootcamp.
Elizabeth Bandy
U6006087
August 21, 2018
Submit to Prof. Rohit


Distribution class
Probability distributions on sets of elements.
Contents
A Distribution object has two attributes:
- num_
el : The number of elements in the set. - prob : A vector containing the probability of each element from the set.
The vector prob is valid when all the elements are in the interval [0,1] and the sum of all numbers in the vector is 1, with margin of error (upper or lower) equals to a constant epsilon, by default set as 10e-6.
Public static functions
- static auto isDistribution(std::vector<long double>& prob) -> bool
- Check if a vector of numbers contains a probability distribution.
Constructors, destructors, conversion operators
- Distribution()
- Default constructor.
- Distribution(std::string file)
- Constructor used when the probability distribution is in a file.
- Distribution(std::vector<long double>& prob)
- Constructor used when there is already a probability distribution in a vector.
- Distribution(int num_el, std::string type)
- Constructor used to generate a uniform or a random probability distribution.
Public functions
- auto toString(int precision) -> std::string
- Generates a string with the probability distribution.
- void printToFile(std::string file, int precision)
- Prints the probability distribution in a file.
Public variables
Function documentation
static bool Distribution:: isDistribution(std::vector<long double>& prob)
Check if a vector of numbers contains a probability distribution.
| Parameters | |
|---|---|
| prob | A vector containing a probability distribution. |
| Returns | It returns true if the vector contains a probability distribution or false otherwise. |
A vector contains a probability distribution if:
- For every probability p in the vector, 0 <= p <= 1;
- The sum of all probabilities in the vector is 1 , with margin of error (upper or lower) equals to a constant epsilon, by default set as 10e-6.
Distribution:: Distribution()
Default constructor.
This constructor creates a Distribution object with num_
Distribution:: Distribution(std::string file)
Constructor used when the probability distribution is in a file.
| Parameters | |
|---|---|
| file | File name that contains a probability distribution. |
The file format must be the following:
n p1 p2 ... pn
where n
is the number of elements in the distribution and pi
is the probability of the ith element occurs.
Distribution:: Distribution(std::vector<long double>& prob)
Constructor used when there is already a probability distribution in a vector.
| Parameters | |
|---|---|
| prob | A vector containing a probability distribution. |
Distribution:: Distribution(int num_el,
std::string type)
Constructor used to generate a uniform or a random probability distribution.
| Parameters | |
|---|---|
| num_el | Number of elements in the set of elements. |
| type | Must be "uniform" for generating a uniform distribution or "random" for a random distribution. |
std::string Distribution:: toString(int precision)
Generates a string with the probability distribution.
| Parameters | |
|---|---|
| precision | Decimal precision for long double numbers. For example, use the value 3 to print 0.322, use 5 to print 0.32197, and so on. |
| Returns | A string in the following format: p1 p2 p3 ... pn |
where pi
is the probability of the ith element occurring. Each two values are separated by a space (" ").
void Distribution:: printToFile(std::string file,
int precision)
Prints the probability distribution in a file.
| Parameters | |
|---|---|
| file | File name to print the distribution. |
| precision | Decimal precision for long double numbers. For example, use the value 3 to print 0.322, use 5 to print 0.32197, and so on. |
The probability distribution is printed in the following format:
n p1 p2 ... pn
where n
is the number of elements in the probability distribution and pi
is the probability _p(i) of the ith element occuring.
Variable documentation
std::vector<long double> Distribution:: prob
A vector of elements' probabilities.
The vector contains the probabilities of all elements from a set. Each value prob[i] is the probability of the ith element occurs. The vector is indexed from the position 0 (1st element) to the position num_


Sokoto Judgement: APC heads to Supreme Court
by The Eagle OnlineThe All Progressives Congress in Sokoto State says it will appeal the Judgment of the Court of Appeal which upheld the election of Governor Aminu Tambuwal, at the Supreme Court.
Addressing newsmen in Sokoto shortly after the Judgment on behalf of the APC Legal Team, Barrister Bashir Jodi said that the party has very strong reasons to appeal the judgement.
News Agency of Nigeria reports that the Court of Appeal on Friday upheld the election of Tambuwal as duly elected Governor of the state.
The four-man panel led by Justice Hussein Mukhtar in an unanimous judgement upheld Tambuwal’s election after dismissing the Appeal filed by the APC and its governorship candidate for lacking in merit.
Jodi said: “Legally, the battle has just begun and there is no cause for alarm. We have very strong reasons to appeal this Judgment to the Supreme Court.
“With the help of the Almighty Allah, we are optimistic that, we will in Sha Allahu succeed at the end,” he said.
Meanwhile, the APC Leader in the state, Senator Aliyu Wamakko, while addressing the party supporters in the state said that the Counsel of the party will study the Judgment and advise appropriately.
“As Muslims, with strong faith in God, we should always be grateful to Him in our struggles to seek redress, as such I urge you all to be peaceful, calm, law abiding and faithful, as well as shun violence,” he said.
Wamakko further lauded the people of the state for their sustained confidence, love and support to the APC.
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CUT (M). (Mushroom Pictures/Beyond/Globe/UIP) Director: Kimble Rendall Stars: Jessica Napier, Molly Ringwald, Simon Bossell, Sarah Kants, Stephen Curry, Kylie Minogue Running time: 78 minutes.
Scream meets The Blair Witch Project?
The first film from Michael Gudinski's newly formed Mushroom Pictures, Cut is a lightweight and terribly cheesy Australian attempt to produce a slick horror/comedy in the same vein as Scream. It works beautifully - up to a point!
A group of film students attempt to complete work on Hot Blooded, a notorious horror film that was never finished after the original director was murdered twelve years earlier. Previous attempts to complete this seemingly cursed horror masterpiece have been quickly abandoned when key players have been brutally murdered. Undeterred by the film's reputation, an eager young aspiring director (Jessica Napier, from Black Rock, etc) assembles her small crew and sets out to complete the film. She even lures the original star (Molly Ringwald) to return to Australia to reprise her role and face up to her fears. But once again a mysterious masked psycho begins his bloody work, butchering the attractive young cast and crew in spectacular and sometimes comical fashion.
Although not as cinema literate nor as clever as Scream and its ilk, Cut is an enjoyable enough parody of the teen slasher genre, and features plenty of grisly deaths. Admittedly, Cut is derivative and formulaic stuff, but it does have a healthy sense of irreverence that allows it to poke fun at its familiar clichés. The influence of everything from Halloween through to more recent slasher flicks is obvious in the staging of the film.
First time director Kimble Rendall (from The Hoodoo Gurus) maintains a reasonably fast pace throughout, and lays on the gore pretty thickly. However, the dialogue is quite trite, and some of the performances leave a lot to be desired.
The casting of Ringwald, '80's cinema icon and veteran of John Hughes' teen comedies, as a has-been starlet anxious to resurrect her stalled career, should have provided first time script writer Dave Warner (from '80's band The Suburbs) with plenty of clever in-jokes, but he has let the opportunity pass. Kylie Minogue plays a small cameo in the film, but, like Drew Barrymore in the original Scream, is despatched within the first ten minutes.
On the positive side, Cut has gone into profit already, even before it has been released, purely on the strength of overseas pre-sales. While this may not mean much to the average film goer, it at least ensures that Mushroom Pictures will continue to produce entertaining and unashamedly commercial films for some time yet. God knows, the local industry needs more purely entertaining films like this rather than the sort of pretentious, well made and earnest art house fare that is critically acclaimed but shunned by paying audiences.
**1/2 greg king http://www.netau.com.au/gregking
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