GRAVESEND
A Film Review by James Berardinelli
RATING (0 TO 10): 5.5 Alternative Scale: ** out of ****
United States, 1997 U.S. Release Date: 9/26/97 (limited) Running Length: 1:26 MPAA Classification: R (Profanity, violence) Theatrical Aspect Ratio: 1.85:1
Cast: Tony Tucci, Michael Parducci, Tom Malloy, Thomas Brandise, Macky Aquilino Director: Salvatore Stabile Producer: Salvatore Stabile Screenplay: Salvatore Stabile Cinematography: Joseph Dell'Olio Music: Bill Laswell U.S. Distributor: Island Digital Media
"The buzz" about GRAVESEND was that it's a startling debut showcasing the promise of a new director, NYU Film School dropout Salvatore Stabile. The reality goes to show how misleading "the buzz" can be, for, while there's no doubt that GRAVESEND hints at Stabile's talent, that potential is (as yet) mostly unrealized. And "startling" isn't the first word that comes to mind when describing this motion picture -- "underwritten" is a better choice.
Admittedly, the manner in which Stabile has filmed GRAVESEND forces the viewer to notice his approach. It's a confrontational, in-your-face style that never rests. Stabile places his handheld 16 mm camera right in the middle of the action and keeps it moving. Unfortunately, his occasional lapses into artsy pretentiousness (black & white scenes, shots that are intentionally overexposed, etc.) distract from his otherwise kinetic and visceral methods. Those who have compared the director to Tarantino or early Scorsese are giving him too much credit.
The aspect that undermines GRAVESEND isn't the camerawork or the director's touch, but Stabile's script, which is uninvolving and repetitive, and features a quartet of ill-developed characters. At eighty-six minutes, GRAVESEND is short, but there are times when it feels interminable, as we seem to be going in circles, covering the same ground and watching the characters have the same arguments more than once. GRAVESEND also features a significant quantity of banal, profane dialogue. In fact, it's this element that points up one of the major differences between Stabile and Tarantino. Tarantino's dialogue is a pleasure to listen to -- there's rhythm and style to the way the words are pieced together. The same cannot be said of the lines Stabile has saddled his four GRAVESEND protagonists with.
GRAVESEND spends one night on the streets of Brooklyn with four bored, disaffected young men. We meet this quartet of friends -- Zane (Tony Tucci), Ray (Michael Parducci), Chicken (Tom Malloy), and Mikey (Thomas Brandise) -- as they sit around in Ray's basement, arguing and trading quips. When Ray's brother comes downstairs to demand quiet, things get out of hand. Zane whips out a gun and, not believing it to be loaded, pulls the trigger. Suddenly, there's blood everywhere, and Ray's brother is lying on the floor, dead. The rest of the film follows the co-conspirators as they attempt to raise the $500 in cash needed to dispose of the body. And, as the night wears on, the level of mistrust (not to mention the body count) escalates.
One of the most serious flaws with GRAVESEND is that none of the characters are credibly developed. I never for a moment believed that any of these individuals were more than creations of a writer's fertile mind. This is partly the fault of Stabile's screenplay and partly the fault of the actors. With the exception of Tony Tucci, whose Zane is consistently well-realized as a fountain of ill-concealed hostility, the performances are lackluster. There are scenes when Parducci, Malloy, and Brandise hit their stride, but it doesn't happen often enough.
Films about nihilistic, unsympathetic protagonists are always more difficult to execute than those featuring likable heroes, so Stabile has at least shown a degree of ambition in his first feature. On those occasions when GRAVESEND works, it has the capability to engage and entertain. Unfortunately, because of script deficiencies and bad choices (such as an ill-advised voiceover narrative), there aren't enough of those moments for this film to climb out of the continuum of "life on the streets" movie mediocrity. After an involving first fifteen minutes, GRAVESEND runs into a dead end.
Copyright 1997 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>The website has moved!! The new address is: http://movie-reviews.colossus.net/
"The cinema is not an art which films life: the cinema is something between art and life. Unlike painting and literature, the cinema both gives to life and takes from it..."
- Jean-Luc Godard
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"The best way to predict the future is to create it"
Peter Drucker
Peter Drucker
Graduated in Systems analysis and development in Brazil, nowadays living in Australia. I am passionate about technology and how it can transform the lives of the people. My main hobby is studying information security.
As an experienced developer, I've worked in an international Bank with many technologies.
I am studying Diploma in Project Manager in Sydney, Australia. I know the main concept about this and I have applied it in all my projects.
It's my hobby, I really love information security and I've done lots of courses on it. I follow the Top 10 OWASP vulnerabilities.
Nelson Rolihlahla Mandela ( – ) was a South African anti-apartheid revolutionary, political leader, and philanthropist, who served as President of South Africa from to . He was the country's first black head of state and the first elected in a fully representative democratic election.
I reserved this part of my website to show the project we will do together...


Andrew Boardman posted the April Foundation update.
Andrew Boardman posted the March Foundation update.
Simon Peyton-Jones announced the appointments of the Executive Director and Chief Technology Officer.
Simon Peyton-Jones announced the Haskell Foundation Board.
The Haskell Foundation is seeking a full-time Executive Director.
Today Simon Peyton-Jones announced the formation of The Haskell Foundation, a non-profit organization focused on increasing adoption of the Haskell programming language. Watch the announcemnt here.
The Haskell Foundation has issued a call for nominations to the Board of Directors. Nominations will remain open until January 11, 2021. New Board members will be selected by the interim members of the Board of Directors.


-- How to configure this module --
extended_statusBefore compile, please apply patch to Nginx core according to the part of "How to patch Nginx core"
./configure --add-module=[nginx_extended_status_module source dirctory]
make
make install
-- How to patch Nginx core --
For Nginx 0.8.54 (or 0.8.55),
patch -p0 < extended_status-0.8.54.patch
For Nginx 1.0.11,
patch -p0 < extended_status-1.0.11.patch
This module borrowed a lot of codes from stub_status module of Nginx. This part of code is copyrighted by Igor Sysoev. This module is licensed under the BSD license. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Youngseok<EMAIL_ADDRESS><EMAIL_ADDRESS>* The original author of this module is Heumgeun Kang(heumgeun.kang@nhn.com).
You can download this project in either zip or tar formats.
You can also clone the project with Git by running:
$ git clone git://github.com/zealot83/ngx_http_extended_status_module


The most important part of the home which is managed by the plumbers is the drainage system. Both the
bathroom and kitchen sinks are essential components of the household drainage systems as they are used
to remove the wastewater and the debris away from the house. If in any case, they malfunction for even a
single day they can pose a health danger for the homeowners and bring all the daily life activities to a
stop. Every professional plumber can repair this with their tools and remove the clogs in the sinks
which will then allow free flow of debris.
Plumbing & Sewer Services Inc.
Atlanta
Now during the freezing winter morning, you don’t have to take a cold shower due to the damage of the
water heater. Since, it is very easy to find a plumber who provides installation and repair of water
heaters. It is recommended that one should use the tankless water heaters for heating the water since
they use high-powered burners. Not only this, but they are more energy-efficient than traditional water
heaters.
La Commode Plumbing
Boston
The toilets are also other important plumbing issues for many households. It can be due to two reasons,
one of which is either they are clogged and have flushing problems. The second is an overflowing toilet
which is a nightmare for all of us. Only the professional plumbers with good experience and expertise in
plumbing will be able to tackle the problem with the tools and equipment.
Amazin’ Plumbers
Dallas
Sewer problems are very unpleasant and hard to deal with. The two main signs that make it necessary for
you to employ a professional plumber in Fernando to repair the sewage lines are abnormal sounds, foul
smells, and slow draining of wastewater. Hiring a plumber to inspect the sewer is advisable for
assessing the problem and estimating the cost.
A-Better Plumbing Company
Chicago
Almost all the plumbers are experienced in fixing leaks as they are trained to tackle various problems
with piping and leakage. Whether you want to fix a single leak in the piping system or the entire home
doesn’t make a difference; plumbers have the training and equipment to handle such problems.
These are some of the services provided by the professional plumbers which can help you in getting rid
of the plumbing-related problems. You can make it a point to hire the best plumbers in your area so that
you do not get troubled in any case.
Plumbing Kings
Indianapolis
The most important part of the home which is managed by the plumbers is the drainage system. Both the
bathroom and kitchen sinks are essential components of the household drainage systems as they are used
to remove the wastewater and the debris away from the house. If in any case, they malfunction for even a
single day they can pose a health danger for the homeowners and bring all the daily life activities to a
stop. Every professional plumber can repair this with their tools and remove the clogs in the sinks
which will then allow free flow of debris.
Plumbing & Sewer Services Inc.
Atlanta, plus 22 additional offices nationwide
Now during the freezing winter morning, you don’t have to take a cold shower due to the damage of the
water heater. Since, it is very easy to find a plumber who provides installation and repair of water
heaters. It is recommended that one should use the tankless water heaters for heating the water since
they use high-powered burners. Not only this, but they are more energy-efficient than traditional water
heaters.
La Commode Plumbing
Boston, with an office in Abu Dhabi, UAE
The toilets are also other important plumbing issues for many households. It can be due to two reasons,
one of which is either they are clogged and have flushing problems. The second is an overflowing toilet
which is a nightmare for all of us. Only the professional plumbers with good experience and expertise in
plumbing will be able to tackle the problem with the tools and equipment.
Amazin’ Plumbers
Dallas, with nine additional U.S. locations, plus offices in Singapore and
London
Sewer problems are very unpleasant and hard to deal with. The two main signs that make it necessary for
you to employ a professional plumber in Fernando to repair the sewage lines are abnormal sounds, foul
smells, and slow draining of wastewater. Hiring a plumber to inspect the sewer is advisable for
assessing the problem and estimating the cost.
A-Better Plumbing Company
Chicago
Almost all the plumbers are experienced in fixing leaks as they are trained to tackle various problems
with piping and leakage. Whether you want to fix a single leak in the piping system or the entire home
doesn’t make a difference; plumbers have the training and equipment to handle such problems.
These are some of the services provided by the professional plumbers which can help you in getting rid
of the plumbing-related problems. You can make it a point to hire the best plumbers in your area so that
you do not get troubled in any case.


PERL582DELTA
Section: Perl Programmers Reference Guide (1)Updated: 2009-02-12
Index Return to Main Contents
NAME
perl582delta - what is new for perl v5.8.2DESCRIPTION
This document describes differences between the 5.8.1 release and the 5.8.2 release.If you are upgrading from an earlier release such as 5.6.1, first read the perl58delta, which describes differences between 5.6.0 and 5.8.0, and the perl581delta, which describes differences between 5.8.0 and 5.8.1.
Incompatible Changes
For threaded builds for modules calling certain re-entrant system calls, binary compatibility was accidentally lost between 5.8.0 and 5.8.1. Binary compatibility with 5.8.0 has been restored in 5.8.2, which necessitates breaking compatibility with 5.8.1. We see this as the lesser of two evils.This will only affect people who have a threaded perl 5.8.1, and compiled modules which use these calls, and now attempt to run the compiled modules with 5.8.2. The fix is to re-compile and re-install the modules using 5.8.2.
Core Enhancements
Hash Randomisation
The hash randomisation introduced with 5.8.1 has been amended. It transpired that although the implementation introduced in 5.8.1 was source compatible with 5.8.0, it was not binary compatible in certain cases. 5.8.2 contains an improved implementation which is both source and binary compatible with both 5.8.0 and 5.8.1, and remains robust against the form of attack which prompted the change for 5.8.1.We are grateful to the Debian project for their input in this area. See ``Algorithmic Complexity Attacks'' in perlsec for the original rationale behind this change.
Threading
Several memory leaks associated with variables shared between threads have been fixed.Modules and Pragmata
Updated Modules And Pragmata
The following modules and pragmata have been updated since Perl 5.8.1:- Devel::PPPort
- Digest::MD5
- I18N::LangTags
- libnet
- MIME::Base64
- Pod::Perldoc
- strict
- Documentation improved
- Tie::Hash
- Documentation improved
- Time::HiRes
- Unicode::Collate
- Unicode::Normalize
- UNIVERSAL
- Documentation improved
Selected Bug Fixes
Some syntax errors involving unrecognized filetest operators are now handled correctly by the parser.Changed Internals
Interpreter initialization is more complete when -DMULTIPLICITY is off. This should resolve problems with initializing and destroying the Perl interpreter more than once in a single process.Platform Specific Problems
Dynamic linker flags have been tweaked for Solaris and OS X, which should solve problems seen while building some XS modules.Bugs in OS/2 sockets and tmpfile have been fixed.
In OS X "setreuid" and friends are troublesome - perl will now work around their problems as best possible.
Future Directions
Starting with 5.8.3 we intend to make more frequent maintenance releases, with a smaller number of changes in each. The intent is to propagate bug fixes out to stable releases more rapidly and make upgrading stable releases less of an upheaval. This should give end users more flexibility in their choice of upgrade timing, and allow them easier assessment of the impact of upgrades. The current plan is for code freezes as follows- *
- 5.8.3 23:59:59 GMT, Wednesday December 31st 2003
- *
- 5.8.4 23:59:59 GMT, Wednesday March 31st 2004
- *
- 5.8.5 23:59:59 GMT, Wednesday June 30th 2004
with the release following soon after, when testing is complete.
See ``Future Directions'' in perl581delta for more soothsaying.
Reporting Bugs
If you find what you think is a bug, you might check the articles recently posted to the comp.lang.perl.misc newsgroup and the perl bug database at http://bugs.perl.org/. There may also be information at http://www.perl.com/, the Perl Home Page.If you believe you have an unreported bug, please run the perlbug program included with your release. Be sure to trim your bug down to a tiny but sufficient test case. Your bug report, along with the output of "perl -V", will be sent off to<EMAIL_ADDRESS>to be analysed by the Perl porting team. You can browse and search the Perl 5 bugs at http://bugs.perl.org/
SEE ALSO
The Changes file for exhaustive details on what changed.The INSTALL file for how to build Perl.
The README file for general stuff.
The Artistic and Copying files for copyright information.
Index
- NAME
- DESCRIPTION
- Incompatible Changes
- Core Enhancements
- Modules and Pragmata
- Selected Bug Fixes
- Changed Internals
- Platform Specific Problems
- Future Directions
- Reporting Bugs
- SEE ALSO
This document was created by man2html, using the manual pages.
Time: 05:29:07 GMT, December 24, 2015


This content has some HTML escaped entities such as & ampersand, " quote, escaped <code> HTML tags, an ümlaut, an @at sign.


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to create a custom image from a VM on Azure Stack Hub using the UKCloud Azure Stack Hub portal
Overview
You can create an image resource from a generalised virtual machine (VM) that is stored as either a managed disk or an unmanaged disk in a storage account. You can then use the image to create multiple VMs.
This article explains how to create a custom image from a VM on Azure Stack Hub, which you can then use to deploy other VMs.
Prerequisites
To complete the steps in this article, you must have appropriate access to a subscription in the Azure Stack Hub portal.
Generalise your VM
Warning
Once you've generalised a VM, you cannot log back into it.
Log in to your Windows VM using Remote Desktop Protocol (RDP).
Open a PowerShell console or command prompt as administrator and run the following command:
C:\Windows\System32\Sysprep\sysprep.exe
In the System Preparation Tool, from the System Cleanup Action list, select Enter System Out-of-Box Experience (OOBE).
Ensure the Generalise check box is selected.
From the Shutdown Options list, select Shutdown.
See the image below for an example:
Click OK and wait for the VM to shutdown. Your RDP session will be closed.
Tip
The generalisation process is complete once your VM is in a stopped state.
Creating the image
Warning
Capturing a VM image will make the VM unusable and cannot be undone.
Log in to the Azure Stack Hub portal.
For more detailed instructions, see Getting Started Guide for UKCloud for Microsoft Azure.
In the favourites panel, select Virtual machines.
In the Virtual machines blade, select the VM that you want to capture.
In the top menu, click Capture.
In the Create image blade, provide a Name for the new image.
From the Resource group list, select an existing resource group, or create a new one by clicking the Create new link and then typing a name for your new resource group in the pop out window.
Select Automatically delete this virtual machine after creating the image.
In the Type the virtual machine name field, enter the VM name.
Click Create.
Wait for the image creation process to finish.
Once complete, your VM image will appear in the resource group you selected in step 6.
Click the VM image.
In the new page, click Create VM.
Enter a Name, Username, Authentication type, Password and Resource group for the new VM, then click OK.
Select a VM size then click Select.
In Configure optional features, under Select public inbound ports, select the ports you want to open.
Click OK.
Review the Summary blade and click OK. The new VM will now begin deployment.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


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About Me
My name is Oluwatoyin Afusa Ademola, I'm light in complextion.I finish my secondary school in year 2015.Am second daughter of my parents,The food i like best is Rice and beans with fish,I do right thing as the right time,I my best attitude is that i loves who loves me.
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| createTable {SparkR} | R Documentation |
Creates a table based on the dataset in a data source. Returns a SparkDataFrame associated with the table.
createTable(tableName, path = NULL, source = NULL, schema = NULL, ...)
tableName |
the qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database. |
path |
(optional) the path of files to load. |
source |
(optional) the name of the data source. |
schema |
(optional) the schema of the data required for some data sources. |
... |
additional named parameters as options for the data source. |
The data source is specified by the source
and a set of options(...).
If source
is not specified, the default data source configured by
"spark.sql.sources.default" will be used. When a path
is specified, an external table is
created from the data at the given path. Otherwise a managed table is created.
A SparkDataFrame.
createTable since 2.2.0
## Not run:
##D sparkR.session()
##D df <- createTable("myjson", path="path/to/json", source="json", schema)
##D
##D createTable("people", source = "json", schema = schema)
##D insertInto(df, "people")
## End(Not run)


Interday heart rate data
Visualize and export your Fitbit resting heart rate for any time period!
Select a date range:
Download resting data to .csv
Pulse Watch
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Interday
(current)
Intraday
Made with love by
Neil


Hello, I am a Masters of Information Systems Candidate, who currently works as a technical account manager for a managed technology service provider.
LinkedInThe internet is one of the greatest technologies ever to be created.The Internet (or internet) is the global system of interconnected computer networks that uses the Internet protocol suite (TCP/IP) to communicate between networks and devices. It is a network of networks that consists of private, public, academic, business, and government networks of local to global scope, linked by a broad array of electronic, wireless, and optical networking technologies. The internet is delivered through multiple different delivery methods which are either dial-up, broadband (DSL, Cable, Fiber), wireless (WiFi) or cellular (3G, 4G, 5G).
In this website you will learn about the many functions of the internet and how it works. We will explore types of internet equipment, the architecture behind it, and how it is all organized for the effective transport of data from network to network. Lets start with a quick video that will explain how the internet is managed through domains, much like mail is managed by the Postal Service.
Learn moreIn 1998 it was responsible for 1/3 total of the US economic growth.
More email is exchanged over the internet than 1st class mail delivered by the post office.
There are approximately 5.6 Billion searches on Google alone per day.
Learn more


Fragments Allocator
Picking random fragments
The random generation of the fragment positions and lengths took some time to figure out, but here is the answer:
For each non-circular chromosome, we want an equal probability of getting any {position,length} fragment,
with 0<position<=chromLength
and minFragmentLength<=length<=maxFragmentLength.
The difficulty is that we obviously also need position+length-1<=chromLength.
Solution: enumerate all valid intervals, and randomly pick a number representing one interval.
The number of valid intervals is (assuming maxFragmentLength<chromLength):
(maxLength-minLength+1)*(chromLength-maxFragmentLength+1) + (maxLength-minLength)*(maxLength-minLength+-1)/2
Then we need to convert the random number R to the interval it represents:
- if R < (maxLength-minLength+1)*(chromLength-maxFragmentLength+1) : a div and modulo give us the position and length
- else: our iterative implementation of random numbers may benefit from an iterative approach to find the position in the triangle
Output file format
Requirements:
- Contains for each fragment/insert:
- Read 1 pos
- Read 2 pos
- Allocated tile
- Sorted by read for BAM output
- Number of bytes as small as possible
- Optimised for sequential read access
We consider 1G fragments.
The sorted positions of reads (1&2) can be sorted efficiently using their deltas.
Idea 1:
1 entry per paired read => 1G entries
- 1 sorted file for read1 deltas: 1B/entry
- 1 sorted file for read2 deltas: 1B/entry
- 1 file for index(paired_read2)-index(read1): 2B/entry
- 1 file for tile allocation : 2B/entry
=> 6GB
Idea 2:
1 entry per paired read => 1G entries
- { read1 deltas, distance(read1,paired_read2) } : 3B/entry
- 1 file for tile allocation : 2B/entry
=> 5GB
Idea 2b:
1 entry per paired read => 1G entries
- read1 deltas: 1B/entry
- fragment length deltas: 2B/entry
- 1 file for tile allocation : 2B/entry
=> 5GB
Idea 3:
1 entry per read => 2G entries
- { read1&2 deltas, index_distance(read1,paired_read2) } : 3B/entry
- 1 file for tile allocation : 2B/entry
=> 8 or 10GB
Idea 4:
We could also only store the reads that differ from the re-generatable ones...
Quality model
We're given a table with, for each cycle, the probability of having different qualities.
What is missing is the dependency from cycle to cycle.
The first implementation implements independent probabilities from 1 cycle to the next.
A better implementation could choose the next cycle "close to" the first cycle.


Contains all the necessary data to call a genetic algorithm function.
struct FitnessTargets{
float heightToBaseRatio;
float occupancy;
};
struct FitnessWeights{
float heightToBaseRatioFactor;
float heightToBaseRatioSigma;
float occupancyFactor;
float occupancySigma;
inline bool operator==(const FitnessWeights &rhs){
return this->heightToBaseRatioFactor==rhs.heightToBaseRatioFactor && this->occupancyFactor==rhs.occupancyFactor && this->heightToBaseRatioSigma==rhs.heightToBaseRatioSigma && this->occupancySigma==rhs.occupancySigma;
}
inline bool operator!=(const FitnessWeights &rhs){
return !(*this==rhs);
}
FitnessWeights& operator+=(const FitnessWeights &rhs){
this->heightToBaseRatioFactor+=rhs.heightToBaseRatioFactor;
this->occupancyFactor+=rhs.occupancyFactor;
this->heightToBaseRatioSigma+=rhs.heightToBaseRatioSigma;
this->occupancySigma+=rhs.occupancySigma;
return *this;
}
friend FitnessWeights operator+(FitnessWeights lhs, const FitnessWeights &rhs){
lhs+=rhs;
return lhs;
}
FitnessWeights& operator*=(const int &rhs){
this->heightToBaseRatioFactor*=rhs;
this->occupancyFactor*=rhs;
this->heightToBaseRatioSigma*=rhs;
this->occupancySigma*=rhs;
return *this;
}
friend FitnessWeights operator*(FitnessWeights lhs, const int &rhs){
lhs*=rhs;
return lhs;
}
};
float fitnessFunction(Body *body, const FitnessTargets &targets, const FitnessWeights &weights){
int minX = 0;
int maxX = 0;
int minY = 0;
int maxY = 0;
int minZ = 0;
int maxZ = 0;
for(uint64_t i=0;i<body->cellsNumber;++i){
minX = body->cells[i].indices[0] < minX ? body->cells[i].indices[0] : minX;
maxX = body->cells[i].indices[0] > maxX ? body->cells[i].indices[0] : maxX;
minY = body->cells[i].indices[1] < minY ? body->cells[i].indices[1] : minY;
maxY = body->cells[i].indices[1] > maxY ? body->cells[i].indices[1] : maxY;
minZ = body->cells[i].indices[2] < minZ ? body->cells[i].indices[2] : minZ;
maxZ = body->cells[i].indices[2] > maxZ ? body->cells[i].indices[2] : maxZ;
}
float occupancy = body->cellsNumber/ float((maxX - minX + 1) * (maxY - minY + 1) * (maxZ - minZ + 1));
float heightToBaseRatio = (maxZ - minZ + 1) / hypotf(maxX - minX + 1, maxY - minY + 1);
float oFitness = weights.occupancyFactor * std::exp(-0.5*std::pow((occupancy - targets.occupancy)/weights.occupancySigma, 2));
float htbrFitness = weights.heightToBaseRatioFactor * std::exp(-0.5*std::pow((heightToBaseRatio - targets.heightToBaseRatio)/weights.heightToBaseRatioSigma, 2));
return oFitness + htbrFitness;
}
int main(){
FitnessWeights weights[2] = {{0.1, 3., 0.1, 1.}, {0.01, -0.02, 0.01, -0.005}};
stages[0].
substages.emplace_back(SelectionSubstage::TOURNAMENT, 10, 96);
stages[0].
substages.emplace_back(SelectionSubstage::TWO_POINTS_CO, 0.1f, 16);
stages[0].
substages.emplace_back(SelectionSubstage::MUTATE, 0.1f, 16);
FitnessTargets targets{1.5, 0.5};
plan.stages = stages;
Body *bodies = new Body [populationSize];
for(int i=0;i<populationSize;++i){
bodies[i].cells = new Cell[256*256*256];
}
float *fitness = new float [populationSize];
Genome_t *genomes = new Genome_t [populationSize];
evolve(genomes, populationSize, developmentalStages, bodies, fitness, plan, fitnessFunction, geneticDistance);
for(int i=0;i<populationSize;++i){
delete[] bodies[i].cells;
}
delete[] bodies;
delete[] fitness;
delete[] genomes;
}
void evolve(Genome_t *genomes, int populationSize, int developmentStages, Body *bodies, float *fitness, SelectionPlan< W, T > plan, float fitnessFunction(Body *body, const T &targets, const W &weights), uint64_t geneticDistance(const Genome_t &first, const Genome_t &second)=geneticDistance)
Executes an entire selection plan on a population The end-user should define quantities they want to ...
Definition: evolution.hpp:175
Defines an entire selection plan.
Definition: evolution.hpp:151
Defines an entire stage of selection, to go from one generation to the next.
Definition: evolution.hpp:139
W weights[2]
weights[0] are the starting weights for each quantity defined in SelectionPlan.targets ,...
Definition: evolution.hpp:144
std::vector< SelectionSubstage > substages
Definition: evolution.hpp:142
int repeats
The number of times to repeat this SelectionStage.
Definition: evolution.hpp:146


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--- layout: default body: portfolio title: Portfolio ---
{{ portfolio.description }}
You'll find some of my latest interesting work to the left, in no particular order.


This summer, I've had the good fortune to be able to participate in the first ever Julia Summer of Code (JSoC), generously sponsored by the Gordon and Betty Moore Foundation. My JSoC project was to explore the use of Julia for automatic differentiation (AD), a topic with a wide array of applications in the field of optimization.
Under the mentorship of Miles Lubin and Theodore Papamarkou, I completed a major overhaul of ForwardDiff.jl, a Julia package for calculating derivatives, gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable Julia type, really).
By the end of this post, you'll hopefully know a little bit about how ForwardDiff.jl works, why it's useful, and why Julia is uniquely well-suited for AD compared to other languages.
In broad terms, automatic differentiation describes a class of algorithms for automatically taking exact derivatives of user-provided functions. In addition to producing more accurate results, AD methods are also often faster than other common differentiation methods (such as finite differencing).
The two main flavors of AD are called forward mode and reverse mode. As you might've guessed, this post only discusses forward mode, which is the kind of AD implemented by ForwardDiff.jl.
Before we get down to the nitty-gritty details, it might be helpful to see a simple example that illustrates various methods from ForwardDiff.jl's API.
The snippet below is a somewhat contrived example, but works well enough as an introduction to the package. First, we define a target function we'd like to differentiate, then use ForwardDiff.jl to calculate some derivatives of the function at a given input:
julia> using ForwardDiff
julia> f(x::Vector) = sum(sin, x) + prod(tan, x) * sum(sqrt, x);
julia> x = rand(5)
5-element Array{Float64,1}:
0.986403
0.140913
0.294963
0.837125
0.650451
julia> g = ForwardDiff.gradient(f); # g = ∇f
julia> g(x)
5-element Array{Float64,1}:
1.01358
2.50014
1.72574
1.10139
1.2445
julia> j = ForwardDiff.jacobian(g); # j = J(∇f)
julia> j(x)
5x5 Array{Float64,2}:
0.585111 3.48083 1.7706 0.994057 1.03257
3.48083 1.06079 5.79299 3.25245 3.37871
1.7706 5.79299 0.423981 1.65416 1.71818
0.994057 3.25245 1.65416 0.251396 0.964566
1.03257 3.37871 1.71818 0.964566 0.140689
julia> ForwardDiff.hessian(f, x) # H(f)(x) == J(∇f)(x), as expected
5x5 Array{Float64,2}:
0.585111 3.48083 1.7706 0.994057 1.03257
3.48083 1.06079 5.79299 3.25245 3.37871
1.7706 5.79299 0.423981 1.65416 1.71818
0.994057 3.25245 1.65416 0.251396 0.964566
1.03257 3.37871 1.71818 0.964566 0.140689
Tada!
Okay, that's not too exciting - I could've just done the same thing with Calculus.jl. Why would I ever want to use ForwardDiff.jl?
The simple answer is that ForwardDiff.jl's AD-based methods are, in many cases, much more performant than the finite differencing methods implemented in other packages.
The key technique leveraged by ForwardDiff.jl is the implementation of several different ForwardDiffNumber
types, each of which allocate storage space for both normal values and derivative values. Elementary numerical functions on a ForwardDiffNumber
are then overloaded to evaluate both the original function and the function's derivative, returning the results in the form of a new ForwardDiffNumber
.
Thus, we can pass these number types into a general function \(f\) (which is assumed to be composed of the overloaded elementary functions), and the derivative information is naturally propagated at each step of the calculation by way of the chain rule. The final result of the evaluation (usually a ForwardDiffNumber
or an array of them) then contains both \(f(x)\) and \(f'(x)\), where \(x\) was the original point of evaluation.
The easiest way to write actual Julia code demonstrating this technique is to implement a simple dual number type. Note that there is already a Julia package dedicated to such an implementation, but we're going to roll our own here for pedagogical purposes.
Here's how we'll define our DualNumber
type:
immutable DualNumber{T} <: Number
value::T
deriv::T
end
value(d::DualNumber) = d.value
deriv(d::DualNumber) = d.deriv
Next, we can start defining functions on DualNumber
. Here are a few examples to give you a feel for the process:
function Base.sqrt(d::DualNumber)
new_value = sqrt(value(d))
new_deriv = 0.5 / new_value
return DualNumber(new_value, new_deriv*deriv(d))
end
function Base.sin(d::DualNumber)
new_value = sin(value(d))
new_deriv = cos(value(d))
return DualNumber(new_value, new_deriv*deriv(d))
end
function Base.(:+)(a::DualNumber, b::DualNumber)
new_value = value(a) + value(b)
new_deriv = deriv(a) + deriv(b)
return DualNumber(new_value, new_deriv)
end
function Base.(:*)(a::DualNumber, b::DualNumber)
val_a, val_b = value(a), value(b)
new_value = val_a * val_b
new_deriv = val_b * deriv(a) + val_a * deriv(b)
return DualNumber(new_value, new_deriv)
end
We can now evaluate the derivative of any scalar function composed of the above elementary functions. To do so, we simply pass an instance of our DualNumber
type into the function, and extract the derivative from the result. For example:
julia> f(x) = sqrt(sin(x * x)) + x
f (generic function with 1 method)
julia> f(1.0)
1.8414709848078965
julia> d = f(DualNumber(1.0, 1.0))
DualNumber{Float64}(1.8414709848078965,1.5403023058681398)
julia> deriv1 = deriv(d)
1.589002649374538
julia> using Calculus; deriv2 = Calculus.derivative(f, 1.0)
1.5890026493377403
julia> deriv1 - deriv2
3.679767601738604e-11
Notice that our dual number result comes close to the result obtained from Calculus.jl, but is actually slightly different. That slight difference is due to the approximation error inherent to the finite differencing method employed by Calculus.jl.
In reality, the number types that ForwardDiff.jl provides are quite a bit more complicated than DualNumber
. Instead of simple dual numbers, the various ForwardDiffNumber
types behave like ensembles of dual numbers and hyper-dual numbers (the higher-order analog of dual numbers). This ensemble-based approach allows for simultaneous calculation of multiple higher-order partial derivatives in a single evaluation of the target function. For an in-depth examination of ForwardDiff.jl's number type implementation, see this section of the developer documentation.
The best way to illustrate the performance gains that can be achieved using ForwardDiff.jl is to do some benchmarking. Let's compare the time to calculate the gradient of a function using ForwardDiff.jl, Calculus.jl, and a Python-based AD tool, AlgoPy.
The function we'll be using in our test is the Ackley function, which is mathematically defined as
\[f(\vec{x}) = -a \exp\left( -b \sqrt{\frac{1}{k} \sum_{i=1}^k x^{2}_{i}} \right) - \exp\left(\frac{1}{k} \sum_{i=1}^k \cos(cx_{i})\right) + a + \exp(1)\]Here's the definition of the function in Julia:
function ackley(x)
a, b, c = 20.0, -0.2, 2.0*π
len_recip = inv(length(x))
sum_sqrs = zero(eltype(x))
sum_cos = sum_sqrs
for i in x
sum_cos += cos(c*i)
sum_sqrs += i^2
end
return (-a * exp(b * sqrt(len_recip*sum_sqrs)) -
exp(len_recip*sum_cos) + a + e)
end
...and here's the corresponding Python definition:
def ackley(x):
a, b, c = 20.0, -0.2, 2.0*numpy.pi
len_recip = 1.0/len(x)
sum_sqrs, sum_cos = 0.0, 0.0
for i in x:
sum_cos += algopy.cos(c*i)
sum_sqrs += i*i
return (-a * algopy.exp(b*algopy.sqrt(len_recip*sum_sqrs)) -
algopy.exp(len_recip*sum_cos) + a + numpy.e)
The benchmarks were performed with input vectors of length 16, 1600, and 16000, taking the best time out of 5 trials for each test. I ran them on a late 2013 MacBook Pro (macOS 10.9.5, 2.6 GHz Intel Core i5, 8 GB 1600 MHz DDR3) with the following versions of the relevant libraries: Julia v0.4.1-pre+15, Python v2.7.9, ForwardDiff.jl v0.1.2, Calculus.jl v0.1.13, and AlgoPy v0.5.1.
Let's start by looking at the evaluation times of ackley(x)
in both Python and Julia:
| length(x) | Python time (s) | Julia time (s) | Speed-Up vs. Python |
|---|---|---|---|
| 16 | 0.00011 | 2.3e-6 | 47.83x |
| 1600 | 0.00477 | 4.0269e-5 | 118.45x |
| 16000 | 0.04747 | 0.00037 | 128.30x |
As you can see, there's already a significant performance difference between the languages. We'll have to keep that in mind when comparing our Julia differentiation tools with AlgoPy, in order to avoid confusing the languages' performance characteristics with those of the libraries (though there is obviously a solid coupling between the two concepts).
The below table shows the evaluation times of ∇ackley(x)
using various libraries (the chunk_size
column denotes a configuration option passed to the ForwardDiff.gradient
method, see the chunk-mode docs for details.):
| length(x) | AlgoPy time (s) | Calculus.jl time (s) | ForwardDiff time (s) | chunk_size |
|---|---|---|---|---|
| 16 | 0.00212 | 2.2e-5 | 3.5891e-5 | 16 |
| 1600 | 0.53439 | 0.10259 | 0.01304 | 10 |
| 16000 | 101.55801 | 11.18762 | 1.35411 | 10 |
From the above tables, we can calculate the speed-up ratio of ForwardDiff.jl over the other libraries:
| length(x) | Speed-Up vs. AlgoPy | Speed-Up vs. Calculus.jl |
|---|---|---|
| 16 | 59.07x | 0.61x |
| 1600 | 40.98x | 7.86x |
| 16000 | 74.99x | 8.26x |
As you can see, Python + AlgoPy falls pretty short of the speeds achieved by Julia + ForwardDiff.jl, or even Julia + Calculus.jl. While Calculus.jl is actually almost twice as fast as ForwardDiff.jl for the lowest input dimension vector, it is ~8 times slower than ForwardDiff.jl for the higher input dimension vectors.
Another metric that might be useful to look at is the "slowdown ratio" between the gradient evaluation time and the function evaluation time, defined as:
\[\text{slowdown ratio} = \frac{\text{gradient time}}{\text{function time}}\]Here are the results (lower is better):
| length(x) | AlgoPy ratio | Calculus.jl ratio | ForwardDiff.jl ratio |
|---|---|---|---|
| 16 | 19.27 | 9.56 | 15.60 |
| 1600 | 112.03 | 2547.61 | 323.82 |
| 16000 | 2139.41 | 30236.81 | 3659.77 |
Both AlgoPy and ForwardDiff.jl beat out Calculus.jl for evaluation at higher input dimensions, which isn't too surprising.  One explanation for this outcome is that AlgoPy falls back to vectorized Numpy methods when calculating the gradient, while the ackley
function itself uses your usual, slow Python scalar arithmetic. Julia's scalar arithmetic performance is much faster than Python's, so ForwardDiff.jl doesn't have as much "room for improvement" as AlgoPy does.
At the beginning of this post, I promised I would give the reader an answer to the question: "Why is Julia uniquely well-suited for AD compared to other languages?"
There are several good answers, but the chief reason for Julia’s superiority is its efficient implementation of multiple dispatch.
Unlike many other languages, Julia’s type-based operator overloading is fast and natural, as it's one of the central design tenets of the language. Since Julia is JIT-compiled, the bytecode representation of a Julia function can be tied directly to the types with which the function is called. This allows the compiler to optimize every Julia method for the specific input type at runtime.
This ability is phenomenally useful for implementing forward mode AD, which relies almost entirely on operator overloading in order to work. In most other scientific computing languages, operator overloading is either very slow (e.g. MATLAB), fraught with weird edge cases (e.g. Python), arduous to implement generally (e.g. C++) or some combination of all three. In addition, very few languages allow operator overloading to naturally extend to native, black-box, user-written code. Julia's multiple dispatch is the secret weapon leveraged by ForwardDiff.jl to overcome these hurdles.
The new version of ForwardDiff.jl has just been released, but development of the package is still ongoing! Here's a list of things I'd like to see ForwardDiff.jl support in the future:
More elementary function definitions on ForwardDiffNumber
types
More optimized versions of existing elementary function definitions on ForwardDiffNumber
types
Methods for evaluating Jacobian-matrix products (highly useful in conjunction with reverse mode AD).
Parallel/shared-memory/distributed-memory versions of current API methods for handling problems with huge input/output dimensions
A more robust benchmarking suite for catching performance regressions
If you have any ideas on how to make ForwardDiff.jl more useful, feel free to open a pull request or issue in the package's GitHub repository.


underspace is a proof of concept demo of a process, which allows for dynamically injecting React components into DOM by writing nothing but pure HTML. In another words, WordPress on React.
For an example, here is a calendar component that was initiated dynamically, on the fly:
demo
(try checking out browser's Elements as well as Network Activity tabs)
What does it solve?
The agenda for underspace is to make it easier for designers to design stuff by just writing plain HTML.
About
Essentially what it does is that underspace.min.js looks for all the data attributes containing 'component' in HTML, then queries back-end for the component. Since component has been exposed as global variable in the window scope by webpack, it can now be accessed from there and initiated. After initiation, the component will be injected into React's state, and then added to the DOM element which contained the initial 'component' attribute.
Further goals
* Implement a process in webpack that splits up files required by component into a single folder by just hash name, so multiple components containing same files would not be included.
* Implement recursion, so components could be injected into components.
* Implement Redux/MobX functionality, so components could communicate between each other.


Ignoring Words
How to manage the words that will be ignored in searches. Note: These words should be equal to or longer than the Minimum Word Length set by your Host.
Adding Ignored Words
- Navigate to Admin > Advanced Settings > Search Admin - OR - Go to a Search Admin module.
- Select the Ignore Words tab.
- Click the Add Word button to words to the ignored words list.
- In the Ignore Words text box, enter each word followed by a comma or by striking the Enter key. Each word can be up to 50 characters long.
- Click the Save button once all words are entered.
Editing Ignored Words List
- Navigate to Admin > Advanced Settings > Search Admin.
- Select the Ignore Words tab.
- Click the Edit button.
- In the Ignore Words text box, add or remove ignored words.
- Click the Save button to save your changes.
Deleting All Ignored Words
How to delete the complete list of ignored words. Warning. The pre-existing list cannot be restored. To remove a single words, edit the list and delete the single word instead.
- Navigate to Admin > Advanced Settings > Search Admin.
- Select the Ignore Words tab.
- Click the Delete button to delete all of the ignored words.


I am on a windows wamp server, and cant find the info on how to install myApps. Where to put it? (path)
https://github.com/emoncms/app
Got it. Had to make an app folder under modules, and dump the files there..
Archived Forum |
|
myApps - [SOLVED]Submitted by Larsjo on Sun, 29/11/2015 - 07:35I am on a windows wamp server, and cant find the info on how to install myApps. Where to put it? (path) https://github.com/emoncms/app
Got it. Had to make an app folder under modules, and dump the files there..
» |
Re: myApps - [SOLVED]
Easiest way is;
Then you can 'pull' updates to the app if they become available.
Paul
Re: myApps - [SOLVED]
not on my windows10 pc, i cant
Re: myApps - [SOLVED]
Why not? I'm on Windows 10, and have installed git, so I can clone and pull/push from the cmd prompt or powershell.
Paul
Re: myApps - [SOLVED]
Nice. never thought that it could be done on windows. Thanks


---
layout: post
title: Server updates
tags:
- ! '*nix'
- comps
- debian
status: private
type: post
published: false
meta:
aktt_notify_twitter: 'no'
_edit_last: '2'
---
Updated server with update and updgrade
Then installed rvm and ruby ruby 1.9.3p194 (2012-04-20 revision 35410) [x86_64-linux] - using these instructions
Next installed node using the following instructions


PSA: 29 Seasons Of The Simpsons Are On Disney+ In Australia
by Sarah BasfordDisney+ has launched in Australia and we now know 29 seasons of The Simpsons will be available on the new streaming service for Australians.
It's an interesting decision because previously, all seasons of The Simpsons have never appeared on a streaming on demand service. But with Disney purchasing 21st Century Fox earlier this year, the iconic animated series became the property of Disney and has been made available on their streaming lineup.
Missing from the Australian service are the most recent seasons, 30 and 31, but given season 30 aired mid this year and season 31 is still airing, they're likely to be added in due course. In the United States, Season 30 is available but season 31 is not yet.
Over the years, The Simpsons was available on some free-to-air channels, like Channel 10, but in 2017, it was pulled from our screens by Fox. Since then, it's only been available for viewing and streaming on Foxtel with physical copies available for purchase. As of the time of writing, The Simpsons is not available for streaming on Foxtel Now but can still be viewed on live through FOX8 (available with Foxtel Now subscriptions).
Most of us probably only enjoy the first 10 but hey, now we can test the waters with those later episodes we've probably not watched 300 times each.


Confirm this is the correct officer
-
Name
-
Role
-
Date of birth
-
Appointed on
-
Nationality
-
Country of residence
-
Occupation
Why can I not see the home address?
We do not make details of an officer's home address publicly available for security reasons.
We will post the authentication code to the most recent home address that the officer has given us.


Loo car boot bodge smashing I up the duff horse play give us a bell, William bugger all mate happy days mush at public school tosser victoria sponge, say lurgy hunky-dory twit hotpot gutted mate.
The full monty burke posh excuse my French Richard cheeky bobby spiffing crikey
Why gormless, pear shaped.!
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Bloke fantastic bubble and squeak do one what a plonker nancy boy burke fanny around.
Cack brolly butty grub chancer smashing brilliant vagabond, chimney pot blower such a fibber ummm I'm telling chinwag he lost his bottle.!
Cack brolly butty grub chancer smashing brilliant vagabond, chimney pot blower such a fibber ummm I'm telling chinwag he lost his bottle.!
Cack brolly butty grub chancer smashing brilliant vagabond, chimney pot blower such a fibber ummm I'm telling chinwag he lost his bottle.!
The full monty burke posh excuse my French Richard cheeky bobby
spiffing crikey Why gormless, pear shaped.!
Quick setup in five simple steps.
Complete purchase history
Signup, No credit card details required.

Loo car boot bodge smashing I up the duff horse play give us a bell, William bugger all mate happy days mush at public school tosser victoria sponge, say lurgy hunky-dory twit hotpot gutted mate.
Officer at Samumed
Loo car boot bodge smashing I up the duff horse play give us a bell, William bugger all mate happy days mush at public school tosser victoria sponge, say lurgy hunky-dory twit hotpot gutted mate.
Officer at Samumed


| 039:006 Khan | : |
He created you (all) from a single person (Adam); then made from him his wife [Hawwa' (Eve)]. And He has sent down for you of cattle eight pairs (of the sheep, two, male and female; of the goats, two, male and female; of the oxen, two, male and female; and of the camels, two, male and female). He creates you in the wombs of your mothers, creation after creation in three veils of darkness, such is Allah your Lord. His is the kingdom, La ilaha illa Huwa (none has the right to be worshipped but He). How then are you turned away? |
| 039:006 Maulana | : |
He created you from a single being, then made its mates of the same (kind). And He sent down for you eight of the cattle in pairs. He creates you in the wombs of your mothers -- creation after creation -- in triple darkness. That is Allah, your Lord; His is the kingdom. There is no God but He. How are you then turned away? |
| 039:006 Pickthal | : |
He created you from one being, then from that (being) He made its mate; and He hath provided for you of cattle eight kinds. He created you in the wombs of your mothers, creation after creation, in a threefold gloom. Such is Allah, your Lord. His is the Sovereignty. There is no Allah save Him. How then are ye turned away? |
| 039:006 Rashad | : |
He created you from one person, then created from him his mate. He sent down to you eight kinds of livestock. He creates you in your mothers' bellies, creation after creation, in trimesters of darkness. Such is GOD your Lord. To Him belongs all sovereignty. There is no other god beside Him. How could you deviate? |
| 039:006 Sarwar | : |
He has created you from a single soul. Out of this He created your spouse. He sent you eight pairs of cattle. He creates you for a second time in the wombs of your mothers behind three curtains of darkness. He is your Lord to whom belongs the Kingdom. He is the only Lord. Where then will you turn away?. |
| 039:006 Shakir | : |
He has created you from a single being, then made its mate of the same (kind), and He has made for you eight of the cattle in pairs. He creates you in the wombs of your mothers-- a creation after a creation-- in triple darkness; that is Allah your Lord, His is the kingdom; there is no god but He; whence are you then turned away? |
| 039:006 Sherali | : |
HE created you from a single being; then from that HE made its mate; and HE has sent down for you of the cattle eight pairs. HE creates you in the wombs of your mothers, creation after creation, through three stages of darkness. This is ALLAH, your Lord. HIS is the Kingdom. There is no god but HE. Wither then are you being turned away? |
| 039:006 Yusufali | : |
He created you (all) from a single person: then created, of like nature, his mate; and he sent down for you eight head of cattle in pairs: He makes you, in the wombs of your mothers, in stages, one after another, in three veils of darkness. such is Allah, your Lord and Cherisher: to Him belongs (all) dominion. There is no god but He: then how are ye turned away (from your true Centre)? |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > ربوبيته جلّ وعلا Pillars of Islam> Islamic> Oneness of Allah> His Divinity, the Great and Almighty أركان الإسلام > التوحيد > توحيد الله تعالي > وحدانيته Pillars of Islam> Islamic> Oneness of Allah> Singularity and Being Unique الإيمان > الغيب > الغيب النفسي > النفس Faith> The Unseen World> The Psychological Secret> The Self الإنسان والعلاقات الاجتماعية > الإنسان > خلقه Man and The Social Relations>Man>Being Created الإنسان والعلاقات الاجتماعية > الإنسان > شرفه ودنوه Man and The Social Relations>Man>When Honourable and When Unhonourable الإنسان والعلاقات الاجتماعية > الرجل والمرأة Man and The Social Relations>Man and Woman الإنسان والعلاقات الاجتماعية > المجتمعات > خلقهم من نفس واحدة Man and The Social Relations>The Societies>Their Creation from One Self العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > الإنسان في الكون Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Man in Universe العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > الإنسان وخلقه Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Man and his Creation
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


{% extends "base/base.html" %} {% load bootstrap3 %} {% block content %}
This concludes the instructions. Happy TimeAligning!


Kodaikanal is a hill station which is located in Dindigul district in the state of Tamil Nadu, India. Its name in the Tamil language means "The Gift of the Forest".
Coorg is a hill town in southern India. Framed by the Western Ghats mountain range, it’s known for the Raja’s Seat, a simple monument overlooking forests and rice paddies. In the center, the 17th-century Madikeri Fort features 2 stone elephants at the entrance


MYSTERY STREET (director: John Sturges; screenwriters: Sydney Boehm/Richard Brooks/from a story by Leonard Spigelgass; cinematographer: John Alton; editor: Ferris Webster; cast: Ricardo Montalban (Lt. Peter Morales), Sally Forrest (Grace Shanway), Bruce Bennett (Dr. McAdoo), Elsa Lanchester (Mrs. Smerrling), Marshall Thompson (Henry Shanway), Jan Sterling (Vivian Heldon), Edmon Ryan (Hartley), Betsy Blair (Jackie), Wally Maher (Tim Sharkey), Brad Hatton (Bartender), Ralph Dumke (Tattooist); Runtime: 93; MGM; 1950)
Reviewed by Dennis Schwartz
An engaging film noir directed by John Sturges, set around the Boston area and making good use of Harvard College, the surrounding dark Boston streets, and the Cape Cod area. The film was superbly shot in B & W by John Alton in a semidocumentary style. The film goes into detail of the murder of a tawdry blonde B girl Vivian Heldon (Jan Sterling) from the time she threatens a married man she's having an affair with to give her money for her pregnancy until her murder. The man, Hartley (Ryan), an architect, is descended from one of Boston's oldest families, and lives on Hyannis Port. She phones him from the hallway of her rooming house, where she writes his number on the wall, as her snooping landlady Mrs. Smerrling (Elsa Lanchester), the one she owes overdue rent to, sees her write the number and overhears that she's in a jam and snickers.
In her workplace bar, "The Grass Skirt," Vivian is agitated that she's been stood up by Hartley and decides to take a drunk at the bar, Henry Shanway (Marshall Thompson), on a ride in his yellow Ford to Cape Cod. When he sobers up after they reach a Cape Cod diner and complains that he has to be at the hospital to see his pregnant wife, she steals the car leaving him stranded on a dirt road late at night. When she meets Hartley to get her money, he instead shoots her and jettison's the car in the nearby bog while he throws her nude body in the ocean. It's not until about three months later that her skeleton is found on the beach by a bird watcher.
Lt. Pete Morales (Montalban), of Portuguese extraction, a local cop who never worked a murder investigation before, becomes suspicious of the death and brings her remains to a forensic expert at the Harvard Department of Legal Medicine, Dr. McAdoo (Bennett). Working only with the skull and photos of all the missing women in the area reported on the date the murder took place, they uncover that the skeleton is Vivian Heldon. They later on learn that she's been shot and was three months pregnant.
When Pete does the leg work of the investigation he finds out from the bartender at her workplace that she met the guy in the yellow Ford, and gets the name of the car owner through the insurance files.  Pete determines that Henry is lying and is probably the killer as he gets reports from witnesses linking him to Vivian. From the bartender and a tattooist outside her workplace, he gets a description of the guy in the yellow Ford he saw her leave with and from the sneaky landlady, he learns that Henry came by the rooming house a day after he reported the car missing. From the one who reported her missing, a tenant in her rooming house, Jackie (Blair), he finds out about the call she made to Cape Cod. This puzzles the detective, who pays Hartley a visit but can't find the gun at his place because the landlady visited Hartley just before him and stole the gun from him. Her plan was to blackmail him.
Warning: spoiler to follow in next paragraph.
With the arrest of Henry on circumstantial evidence, Dr. McAdoo believes he might be innocent and tells Pete that they must find the gun to be absolutely sure. This leads to an exciting climax in search of the gun, as the wrong man gets cleared of the crime by the fervent efforts of Pete Morales. It culminates in a chase through the Boston train yards to apprehend Hartley.
The performance by Ricardo Montalban was subtle and very much a winning one, while Elsa Lanchester stole the film with her portrayal of being a most despicable, uncaring, lying and cheating rat, someone capable of perjury and blackmail all in the name of greed. It's a solid film noir effort, which was also able to get in some comments on social consciousness between the ethnic Montalban and the snobbish bias the elitist Edmon Ryan portrayed.
REVIEWED ON 9/6/2001 GRADE: B +
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
========== X-RAMR-ID: 29407 X-Language: en X-RT-SourceID: 873 X-RT-AuthorID: 1315 X-RT-RatingText: B+
The review above was posted to the
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| No. | Type | Answer | Time | Result | Favorite | Practice | Review | Remarks |
|---|---|---|---|---|---|---|---|---|
| {{question.question_number}} | {{question.question_type}} | {{question.selected_answer}} | {{question.selected_answer == question.correct_answer ? 'Correct' : 'Incorrect'}} | Practice | Review | {{question.remarks | truncate}} |


Equivalent to clicking the Consolidate command on the Data menu. Consolidates data from multiple ranges on multiple worksheets into a single range on a single worksheet.
Syntax
CONSOLIDATE(source_refs, function_num, top_row, left_col, create_links)
CONSOLIDATE?(source_refs, function_num, top_row, left_col, create_links)
Source_refs are references to areas that contain data to be consolidated on the destination worksheet. Source_refs must be in text form and include the full path of the file and the cell reference or named ranges in the workbook to be consolidated. Source_refs are usually external references and must be given as an array, for example: {"SHEET1!IncomeOne", "SHEET2!IncomeTwo"}.
To add or delete source_refs from an existing consolidation on a worksheet, reuse the CONSOLIDATE function, specifying the new source_refs.
Function_num is a number from 1 to 11 that specifies one of the 11 functions you can use to consolidate data. If function_num is omitted, the SUM function, number 9, is used. The functions and their corresponding numbers are listed in the following table.
| Function_num | Function |
| 1 | AVERAGE |
| 2 | COUNT |
| 3 | COUNTA |
| 4 | MAX |
| 5 | MIN |
| 6 | PRODUCT |
| 7 | STDEV |
| 8 | STDEVP |
| 9 | SUM |
| 10 | VAR |
| 11 | VARP |
The following arguments correspond to text boxes and check boxes in the Consolidate dialog box. Arguments that correspond to check boxes are logical values. If an argument is TRUE, Microsoft Excel selects the check box; if FALSE, Microsoft Excel clears the check box.
Top_row corresponds to the Top Row check box. The default is FALSE.
Left_col corresponds to the Left Column check box. The default is FALSE.
If top_row and left_col are both FALSE or omitted, the data is consolidated by position.
Create_links corresponds to the Create Links To Source Data check box.
Remarks
If you use the CONSOLIDATE function with no arguments and there is a consolidation on the active worksheet, Microsoft Excel reconsolidates, using the sources, function, and position attributes used to create the existing consolidation.
If you use the CONSOLIDATE function with no arguments and there is no consolidation on the active worksheet, the function returns the #VALUE! error value.
Related Functions
CHANGE.LINK Changes supporting workbook links
LINKS Returns the names of all linked workbooks
OPEN.LINKS Opens specified supporting workbooks
UPDATE.LINK Updates a link to another workbook
Return to index


name: inverse layout: true class: center, middle, inverse --- # Introduction # to Nipype --- name: content class: left layout: false name: intro
-- ## What is [Nipype](http://nipype.readthedocs.io/en/latest/)? - open-source, community-developed software package written in **Python**. - Provides unified way of **interfacing** with heterogeneous neuroimaging software like [SPM](http://www.fil.ion.ucl.ac.uk/spm/), [FSL](http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/), [FreeSurfer](http://surfer.nmr.mgh.harvard.edu/), [AFNI](https://afni.nimh.nih.gov/afni), [ANTS](http://stnava.github.io/ANTs/), [Camino](http://web4.cs.ucl.ac.uk/research/medic/camino/pmwiki/pmwiki.php), [MRtrix](http://www.brain.org.au/software/mrtrix/index.html), [MNE](https://martinos.org/mne/stable/index.html), [Slicer](https://www.slicer.org/) and many more. - Allows users to create **flexible, complex workflows** consisting of multiple processing steps using any software package above - Efficient and optimized computation through **parallel execution** plugins --- ## I don't need that, I'm happy with SPM12! I mean, there's no problem with SPM's batch system...
ok, ok... it gets tiring to have a separate batch script for each subject and MATLAB license issues are sometimes a pain. But hey, the nice looking GUI makes it so easy to use! --- ## SPM in Nipype Using SPM12 with Nipype is simpler than any `matlabbatch` and it's intuitive to read: ```python from nipype.interfaces.spm import Smooth smooth = Smooth() smooth.inputs.in_files = 'functional.nii' smooth.inputs.fwhm = 6 smooth.run() ``` --- ## I don't need that, I'm happy with FSL! The GUI might look a bit old fashion but the command line interface gives me all the flexibility I need!
I don't care that it might be more difficult to learn than other neuroimaging software. At least it doesn't take me 20 clicks to do simple motion correction. And once you figure out the underlying commands, it's rather simple to script. --- ## FSL in Nipype Nipype makes using FSL even easier: ```python from nipype.interfaces.fsl import MCFLIRT mcflt = MCFLIRT() mcflt.inputs.in_file = 'functional.nii' mcflt.run() ``` And gives you transparency to what's happening under the hood with one additional line: ```python In [1]: mcflt.cmdline Out[1]: 'mcflirt -in functional.nii -out functional_mcf.nii' ``` --- ## I don't need that, I'm happy with FreeSurfer! You and your problems with fMRI data. I'm perfectly happy with FreeSurfer's command line interface. It gives me all I need to do surface-based analyses.
Of course, you can run your sequential FreeSurfer scripts as you want. But wouldn't it be nice to optimize computation time by using parallel computation? --- ## FreeSurfer in Nipype Let's imagine you want to do smoothing on the surface... - with **two different smoothing kernels** values - on **both hemispheres** - on **six subjects** - all in **parallel**? -- With Nipype this is as simple as that: ```python from nipype.interfaces.freesurfer import SurfaceSmooth smoother = SurfaceSmooth() smoother.inputs.in_file = "{hemi}.func.mgz" smoother.iterables = [("hemi", ['lh', 'rh']), ("fwhm", [4, 8]), ("subject_id", ['sub01', 'sub02', 'sub03', 'sub04', 'sub05', 'sub06']), ] smoother.run(mode='parallel') ``` --- ## But I like my neuroimaging toolbox - You can keep it! But instead of being stuck in MATLAB with SPM, or having scripting issues with FreeSurfer, ANTs or FSL,.. - **Nipype** gives you the possibility to select the algorithms that you prefer from many different software packages. - In short, you can have all the advantages without the disadvantage of being stuck with a programming language or software package --- ## A Short Example Let's assume we want to do preprocessing that uses **SPM** for *motion correction*, **FreeSurfer** for *coregistration*, **ANTS** for *normalization* and **FSL** for *smoothing*. Normally this would be a hell of a mess. It would mean switching between multiple scripts in different programming languages with a lot of manual intervention. **Nipype comes to the rescue!**
--- # Code Example The code to create a Nipype workflow like the example before would look something like this: ```python # Import modules from nipype.interfaces.freesurfer import BBRegister from nipype.interfaces.ants import WarpTimeSeriesImageMultiTransform from nipype.interfaces.fsl import SUSAN from nipype.interfaces.spm import Realign ``` ```python # Motion Correction (SPM) realign = Realign(register_to_mean=True) ``` ```python # Coregistration (FreeSurfer) coreg = BBRegister() ``` ```python # Normalization (ANTS) normalize = WarpTimeSeriesImageMultiTransform() ``` ```python # Smoothing (FSL) smooth = SUSAN(fwhm=6.0) ``` --- ```python # Where can the raw data be found? grabber = nipype.DataGrabber() grabber.inputs.base_directory = '~/experiment_folder/data' grabber.inputs.subject_id = ['subject1', 'subject2', 'subject3'] ``` ```python # Where should the output data be stored at? sink = nipype.DataSink() sink.inputs.base_directory = '~/experiment_folder/output_folder' ``` -- ```python # Create a workflow to connect all those nodes preprocflow = nipype.Workflow() ``` ```python # Connect the nodes to each other preprocflow.connect([(grabber -> realign ), (realign -> coreg ), (coreg -> normalize), (normalize -> smooth ), (smooth -> sink ) ]) ``` ```python # Run the workflow in parallel preprocflow.run(mode='parallel') ``` **Important**: This code is a shortened and simplified version of the real Nipype code. But it gives you a good idea of how intuitive it is to use Nipype for your neuroimaging analysis. --- ## So again, what is Nipype? Nipype consists of many parts, but the main ones are [Interfaces](basic_interfaces.ipynb), the [Workflow Engine](basic_workflow.ipynb) and the [Execution Plugins](basic_plugins.ipynb):
* **Interface**: Wraps a program or function * **Node/MapNode**: Wraps an `Interface` for use in a Workflow * **Workflow**: A *graph* or *forest of graphs* whose edges represent data flow * **Plugin**: A component that describes how a `Workflow` should be executed


{% extends "email_messages/layout.html" %} {% block header_content %} Deac Organization Confirmation {% endblock %} {% block content_body %} {% block content %}
Hey {{full_name}},
Thank you so much for being a part of the PythonExpress initiative. We're really sorry to see you go.
If there is anything that we can do to help you or in case you would like to let us know of any grievances, please feel free to drop us a line at<EMAIL_ADDRESS>We would like to hear from you.
Warmly,
The PythonExpress team
{% endblock %} {% endblock %}


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Reports usages of IntelliJ API that were introduced in a version newer than "since" build specified in the plugin.
It may lead to incompatibilities of the plugin with older IDE builds.
To avoid possible issues when running the plugin in older IDEs, it may be necessary to increase "since" constraint of the plugin,
or avoid using the APIs.


Exodus 28:20
And the fourth row a beryl, and an onyx, and a jasper: they shall be set in gold in their inclosings.


-ms-user-select
is a new CSS property that lets web developers control where users are able to
select text within their web pages.
#blog {
-ms-user-select:none;
-webkit-user-select:none;
-moz-user-select:-moz-none;
}
#blog, #blog input, #blog textarea,
#blog *[contenteditable=true] {
-ms-user-select:none;
-webkit-user-select:none;
-moz-user-select: -moz-none;
}
#blogPost {
-ms-user-select:element;
-webkit-user-select:text;
-moz-user-select: text;
}
#blog{
-ms-user-select:none;
-webkit-user-select:none;
-moz-user-select: -moz-none;
}
.comment {
-ms-user-select:element;
-moz-user-select:text;
-webkit-user-select:text;
}
#blog{
-ms-user-select:none;
-moz-user-select:-moz-none;
-webkit-user-select:none;
}
#blogPost, .comment {
-ms-user-select:text;
}
#blog {
-ms-user-select:none;
}
ieblog 31 Oct 2011 3:42 PM
Building fast and functional sites is a challenge with which most Web developers are familiar. Loading a new page every time the user clicks a link is slow. Fetching all content dynamically effectively disables the back button. Working with hashes is better, but still not ideal. Internet Explorer 10 in the Windows Developer Preview eliminates the compromise by adding support for HTML5 History. The pushState, replaceState, and popstate APIs provide fine-grained control over the behavior of the back button and the URL presented to the user for dynamic content. Together these APIs help you improve the performance of your site without sacrificing usability.
...
Will
Thank you!!!
-ms-user-select:none
will block selection from starting on that element. It will not block an
existing selection from entering the element.
This paragraph blocks selection from starting here.
-ms-user-select:element
enables selection to start within the element, however, the selection
will
be contained by the bounds of that element.
This paragraph limits selection to within it's bounds.
-ms-user-select:text
enables selection to start within the element and extend past the element's
bounds.
This paragraph allows unbounded selection.
user-select
is not currently part of any W3C CSS specification. It was originally proposed in
the User Interface for CSS3 module; this module has since been superseded by CSS3 Basic User Interface Module which does not define the
user-select
property. Both Mozilla and Webkit
support their own prefixed versions of this property. There are minor differences between the three
implementations so be sure to test your application across browsers.
Paul
Excellent and much needed feature!


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These release notes cover new developer and user-facing incompatibilities, features, and major improvements.
GenericOptionsParser in branch 0.20 depends on commons-cli2. This jira removes the dependency of branch 0.20 on commons-cli2 completely. The problem is seen after 'ant binary' where all the library files are copied to '$hadoop-home/lib' which already has commons-cli2.
Provide a new option to rm and rmr, -skipTrash, which will immediately delete the files specified, rather than moving them to the trash.
Post HADOOP-4372, empty job history files caused NPE. This issues fixes that by creating new files if no old file is found.
Jobtracker crashes if it fails to create jobtracker.info file (i.e if sufficient datanodes are not up). With this patch it keeps on retrying on IOExceptions assuming IOExceptions in jobtracker.info creation implies that the hdfs is not in *ready *state.
TestJobHistory fails as jobtracker is restarted very fast (within a minute) and history files from earlier testcases were not cleaned up. This patch cleans up the history-dir and mapred-system-dir after every test.
Fixes Capacity scheduler to account more capacity of a queue for a high memory job. Done by considering these jobs to take more slots proportionally with respect to a slot's default memory size.
WARNING: No release note provided for this incompatible change.
If the child (streaming) process returns successfully and the MROutputThread throws an error, there was no way to detect that as all the IOExceptions was ignored. Such issues can occur when DFS clients were closed etc. Now a check for errors (in threads) is made before finishing off the task and an exception is thrown that fails he task.
Removed pre-emption from capacity scheduler. The impact of this change is that capacities for queues can no longer be guaranteed within a given span of time. Also changed configuration variables to remove pre-emption related variables and better reflect the absence of guarantees.
This patch resets the variable totalBytesProcessed before the final merge sothat it will be used for calculating the progress of reducePhase(the 3rd phase of reduce task) correctly.
Add a new, binary file format TFile.
Fixed a bug in the way commit of task outputs happens. The bug was that if commit fails with IOException, the task would be declared as successful.
The tasktracker's startup code was modified to use deprecated memory management configuration variables, when specified, and enable memory monitoring of tasks.
Reduced the frequency of log messages printed when a deprecated memory management variable is found in configuration of a job.
Fixed a bug in the new org.apache.hadoop.mapreduce.Counters.getGroup() method to return an empty group if group name doesn't exist, instead of null, thus making sure that it is in sync with the Javadoc.
The JobTracker tries to delete the mapred.system.dir when it is starting up (with the job recovery disabled). The fix provided by this jira is that JobTracker will fail (bail out) with AccessControlException if it fails to delete files/directories in mapred.system.dir due to access control issues.
Job initialization process was changed to not change (run) states during initialization. The reason is two fold - this can lead to deadlock as state changes require circular locking (i.e JobInProgress requires JobTracker lock) - events were not raised as these state changes were not informed/propogated back to the JobTracker
Now the JobTracker takes care of initializing/failing/killing the job and raising appropriate events. The simple rule that was enforced was that "The JobTracker lock is *must* before changing the run-state of a job".
Multithreaded mapper was modified to create a new Runtime exception (object) from a throwable instead of casting a throwable into a RuntimeException, once the Multithreaded map encounters a fault.
Removes the dependency of hadoop-mapred from commons-cli2 and uses commons-cli1.2 for command-line parsing.
JobTracker was changed to take an identifier as an argument. This helps in testcases where the jobtracker/mapred-cluster is (re)started in a short span of time and the chances of jobtracker identifier clashing are high. Also the RecoveryManager was modified to throw an exception if a job fails in init during the recovery process. The reason being that this event will trigger a job failure in the recovery process and will remove the failed job from further initialization and processing.
CompletedJobStatusStore was hardcored to persist to hdfs. This patch allows to persist to local fs. Just qualify mapred.job.tracker.persist.jobstatus.dir with file://
Various code paths in the framework caught Throwable and tried to do inline cleanup. In case of OOM errors, such inline-cleanups can result into hung jvms. With this fix, the TaskTracker provides a api to report fatal errors (any throwable other than FSErrror and Exceptions). On catching a Throwable, Mapper/Reducer tries to inform the TT.
Fixed a bug in Pipes combiner to reset the spilled bytes count after the spill.
When a job is initialized, it localizes the job conf to the logs dir. Without this patch I never gets deleted. Now when the job retires, the conf is deleted. This local copy is required to display on the webui.
Fixed backwards compatibility by re-introducing and deprecating removed memory monitoring related configuration options.
This patch adds the mapid and reduceid in the http header of mapoutput when being sent to reduce node. Also validates compressed length, decompressed length, mapid and reduceid from http header at reduce node.
KeyFieldBasedPartitioner throws ArrayOutOfIndex when passed an empty key. This patch hashes empty key to 0 hashcode.


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Methods in edu.citadel.cprl that return Expression
Modifier and Type
Method
Description
Expression
Parser. parseExpression ()
Parse the following grammar rules:
expression = relation ( logicalOp relation )* .
logicalOp = "and" | "or" .
Expression
Parser. parseFactor ()
Parse the following grammar rule:
factor = "not" factor | constValue | namedValue | functionCall
| "(" expression ")" .
Expression
Parser. parseRelation ()
Parse the following grammar rule:
relation = simpleExpr ( relationalOp simpleExpr )? .
relationalOp = "=" | "!=" | "<" | "<=" | ">" | ">=" .
Expression
Parser. parseSimpleExpr ()
Parse the following grammar rules:
simpleExpr = ( addingOp )? term ( addingOp term )* .
addingOp = "+" | "-" .
Expression
Parser. parseTerm ()
Parse the following grammar rules:
term = factor ( multiplyingOp factor )* .
multiplyingOp = "*" | "/" | "mod" .
Subclasses of Expression in edu.citadel.cprl.ast
Modifier and Type
Class
Description
class
AddingExpr
The abstract syntax tree node for an adding expression.
class
BinaryExpr
Base class for all binary expressions.
class
ConstValue
The abstract syntax tree node for a constant value expression, which is
either a literal or a declared constant identifier representing a literal.
class
FunctionCall
The abstract syntax tree node for a function call expression.
class
LogicalExpr
The abstract syntax tree node for a logical expression.
class
MultiplyingExpr
The abstract syntax tree node for a multiplying expression.
class
NamedValue
The abstract syntax tree node for a named value.
class
NegationExpr
The abstract syntax tree node for a negation expression.
class
NotExpr
The abstract syntax tree node for a not expression.
class
RelationalExpr
The abstract syntax tree node for a relational expression.
class
UnaryExpr
Base class for all unary expressions.
class
Variable
The abstract syntax tree node for a variable, which is any named variable
that can appear on the left hand side of an assignment statement.
Constructors in edu.citadel.cprl.ast with parameters of type Expression
Constructor
Description
AddingExpr (Expression leftOperand,
Token operator,
Expression rightOperand)
Construct an adding expression with the operator ("+" or "-")
and the two operands.
AssignmentStmt (Variable variable,
Expression expr,
Position assignPosition)
Construct an assignment statement with a variable, an expression,
and the position of the assignment operator.
BinaryExpr (Expression leftOperand,
Token operator,
Expression rightOperand)
Construct a binary expression with its left operand, operator, and right operand.
ElsifPart (Expression booleanExpr,
java.util.List<Statement > thenStmts)
Construct an elsif part with the specified boolean expression
and list of "then" statements.
ExitStmt (Expression whenExpr,
LoopStmt loopStmt)
Construct an exit statement with its optional "when"
expression (which should be null if there is no "when"
expression) and a reference to the enclosing loop statement.
IfStmt (Expression booleanExpr,
java.util.List<Statement > thenStmts,
java.util.List<ElsifPart > elsifParts,
java.util.List<Statement > elseStmts)
Construct an if statement with the specified boolean expression
and list of "then" statements.
LogicalExpr (Expression leftOperand,
Token operator,
Expression rightOperand)
Construct a logical expression with the operator ("and" or "or")
and the two operands.
MultiplyingExpr (Expression leftOperand,
Token operator,
Expression rightOperand)
Construct a multiplying expression with the operator ("*", "/", or "mod")
and the two operands.
NegationExpr (Token operator,
Expression operand)
Construct a negation expression with the specified operator ("-") and operand.
NotExpr (Token operator,
Expression operand)
Construct a not expression with the specified operator ("not") and operand.
RelationalExpr (Expression leftOperand,
Token operator,
Expression rightOperand)
Construct a relational expression with the operator ("=", "<=", etc.)
and the two operands.
ReturnStmt (SubprogramDecl subprogramDecl,
Expression returnExpr,
Position returnPosition)
Construct a return statement with a reference to the enclosing subprogram
and the expression for the value being returned, which may be null.
UnaryExpr (Token operator,
Expression operand)
Construct a unary expression with the specified operator and operand.
Constructor parameters in edu.citadel.cprl.ast with type arguments of type Expression
Constructor
Description
FunctionCall (Token funcId,
java.util.List<Expression > actualParams,
FunctionDecl funcDecl)
Construct a function call with the function identifier (name), the
list of actual parameters, and a reference to the function declaration.
OutputStmt (java.util.List<Expression > expressions)
Construct an output statement with the list of expressions.
ProcedureCallStmt (Token procId,
java.util.List<Expression > actualParams,
ProcedureDecl procDecl)
Variable (NamedDecl decl,
Position position,
java.util.List<Expression > indexExprs)
Construct a variable with a reference to its declaration,
its position, and a list of index expressions.
WritelnStmt (java.util.List<Expression > expressions)
Construct a writeln statement with the list of expressions.
WriteStmt (java.util.List<Expression > expressions)
Construct a write statement with the list of expressions.