Repeat function call depending on the previous call result and specified conditions.
retry({
action: axios,
actionParams: [{url: '/api/some/endpoint'}],
retryAttempts: [2000, 5000],
retryTest: (response) => response.data.error,
retryOnError: true
})
.promise.then((response) => console.log(response.data));
action
setting).actionContext
setting) and parameters (actionParams
setting) for function call.retryOnError
setting) and/or
when it returns normal value or fulfilled promise (use retryTest
setting).retryOnError
/retryTest
setting to specify condition when to retry action call.retryAttempts
, retryQty
and/or retryTimeout
settings).timeLimit
setting.npm install povtor
bower install povtor
Use dist/povtor.umd.js
(minified version).
import {retry, getPromiseField} from 'povtor';
const retry = require('povtor').retry;
const getPromiseField = require('povtor').getPromiseField;
define(['path/to/dist/povtor.umd.js'], function(povtor) {
const retry = povtor.retry;
const getPromiseField = povtor.getPromiseField;
});
<!-- Use bower_components/povtor/dist/povtor.umd.js if the library was installed by Bower -->
<script type="text/javascript" src="path/to/dist/povtor.umd.js"></script>
<script type="text/javascript">
// povtor is available via povtor field of window object
const retry = povtor.retry;
const getPromiseField = povtor.getPromiseField;
</script>
// Request data from API endpoint and repeat request after 3, then 5, then 7 seconds
// when request is not successful, response data has error flag or value of state field is not 3.
let control = retry({
action: axios,
actionParams: [{url: '/api/some/endpoint'}],
retryAttempts: [3000, 5000, 7000],
retryTest: (response) => response.data.error || response.data.state !== 3,
retryOnError: true
});
// control.promise will be resolved when a request is completed successfully and retryTest returns false
// or when all repeats will be made.
control.promise.then((response) => console.log(response.data));
getPromiseField(control); // Get value of control.promise
// Read file contents every second until it contains specific value.
control = retry({
action: jsonfile.readFileSync,
actionParams: ['/path/to/data.json', {'throws': false}],
retryTimeout: 1000,
retryTest: (data) => ! data || ! data.result
});
// control.promise will be resolved when the file contains specified value.
control.promise.then((data) => console.log(data.result));
...
control.stop(); // Stop repeating of action
See tests for additional examples.
Call specified function and repeat calls depending on settings.
settings: RetrySettings
- an object that can contain the following fields:
action
- a function that should be called. Can return a promise or a value.actionContext
- an object that should be used as this
when calling the action function.actionParams
- an array of parameters that should be passed into the action function.delay
- an amount of milliseconds before first call of the action function.
When the value is not specified or is negative, the action function will be called immediately first time.retryAttempts
- an array specifying amount and timeouts between repeated calls of the action function.
Each item can be a number or a function (see retryTimeout
setting for details).
Has priority over retryQty
and retryTimeout
settings.retryQty
- maximum number of repeated calls of the action function. A negative value means no restriction.
Default value is -1
.retryTimeout
- a timeout between repeated calls of the action function, or a function that returns such timeout.
A negative or non-number value means the repeat call will be made without delay (this is applied by default).
If specified function returns false
then retry process will be finished and result promise
will be fulfilled or rejected depending on result of the last action's call.retryOnError
- a boolean value or a function returning boolean value that specifies whether the action function
should be called again when the action function throws an error or returned promise is rejected.
When not specified the call of the action function will not be repeated on an error.retryTest
- a boolean value or a function returning boolean value that specifies whether the action function
should be called again after a made call. When not specified the action call will not be repeated.timeLimit
- time in milliseconds specifying how long retry process can last starting from call of retry
function.The only required field is action
.
retry
function returns RetryResult
- an object that can be used to observe and control the process of calls repeating.
RetryResult
contains the following fields:
promise
- promise that can be used to observe the process and to get the final value of the action function
or the last error.attempt
- number of calls of the action function that have already made.error
- last error or value of promise rejection.isError
- whether the last call of the action function is ended with error.result
- contains result of each call of the action function.settings
- settings that were passed to retry
function.startTime
- time in milliseconds when retry
function was called.stop
- function that can be used to stop the process of calls repeating. Returns value of promise
field.stopped
- a boolean value that indicates whether the process of calls repeating is stopped.value
- a value of last successfull call of the action function. When the action function returns a promise,
the value will be result of the promise fulfillment.valueWait
- a boolean value that indicates whether the action function is producing a result.
Useful only when the action function returns a promise. Is set to true
when the promise is pending.wait
- a boolean value that indicates waiting of the next call of the action function.
Is set to true
during a timeout between calls.Return value of promise
field of the passed object.
See doc
folder for details.
In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code.
Copyright (c) 2018-2020 Denis Sikuler Licensed under the MIT license.
Generated using TypeDoc


Last Name
First Name
Address
City
State
Zip/Postal code
Country
Austria
Belgium
Bulgaria
Germany
France
Italy
United Kingdom
Phone (country code,
area code, number)
(+
)
-
E-mail
Birth Date
Gender
Male
Female
Starting date
Spring 2016
Summer 2016
Comments/Questions


@main("Lips") {
Info on Lips
Colour: Deep-tone beige Finish: (Matte) Desription: A lipstick with hundreds of hues. The iconic product that made M·A·C famous. Price: €15.50 Overall Rating: 4.6 / 5


Coverage Testing with Coveralls
Coverage testing of code in OCaml is best handled via the bisect library. It operates by recompiling code via a camlp4 extension to instrument tests , and then check how much of the main library was exercised by the test cases. This can be automated into the existing GitHub workflows by using the [coveralls.io](http://coveralls.io] web service, using the ocveralls OCaml library.
As a reference, two libraries that use it are mirage-block-volume and shared-block-ring. The following procedure works pretty well:
make coverage
, and load result in web-browser- spot a big chunk of obvious red (danger, danger, danger)
- (thinking carefully about what could go wrong) devise an interesting test to stress the red bits (obviously you could cover it with a ‘noddy’ test but there is probably no point)
make coverage
, reload in browser and see the red go green!
To setup this workflow, register with coveralls.io
with this sort of
commit.
It sets up the master branch in development mode, links against bisect, and
doesnt check in the OASIS autogen files. The travis.yml
files runs the
Travis CI skeleton scripts and then calls ocveralls
to upload the results to coveralls.io.
Some miscellaneous notes:
-
The repositories above also have a
make release
step which removes bisect and generates a tarball that is suitable for release. -
The game is made even more addictive when the coveralls badge changes colour; for example see: https://coveralls.io/r/mirage/mirage-block-volume?branch=master
-
Here is an example bisect report of the source code: http://dave.recoil.org/tmp/report/file0000.html
If you can think of a nicer way to integrate this into OASIS then get in touch
on the mailing list, since using sed
on the _oasis
file is a bit of a hack.


Australia
Learn more about what makes Australia Australia!
Australia, the smallest continent and one of the largest countries on Earth, lying between the Pacific and Indian oceans in the Southern Hemisphere. Australia’s capital is Canberra, located in the southeast between the larger and more important economic and cultural centres of Sydney and Melbourne.


{extend name="model"} {block name="body"} Find an Awesome Things Here Find all things you need on Azoiz. We give you a simple way. 小卡卡贴 {$c} 专辑海报 {$p} 明信写真 {$w} 衣服配饰 {$cl} 限量定制 {$l} 其余周边 {$s} Featured {volist name="goods" id="a" length="6"} {$a.goods_name} Today 10.35 am Electronics , Smartphone {$a.goods_quality} {/volist} Quick Signup I Agree with Term and Conditions Sign Up Trends SuperJunior (2,342) EXO (2,342) Bigbang (2,342) TVXQ (2,342) 李易峰 (2,342) 华晨宇 (2,342) 周杰伦 (242) 张杰 (2,342)
Find all things you need on Azoiz. We give you a simple way.


This card has supporting text below as a natural lead-in to additional content.
Last updated 3 mins ago
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In School Days
Source of witness transcribed: The Wheeling Daily Intelligencer (Wheeling, West Virginia)
Date of witness transcribed: 3 January 1870
Notes about this poem: "In School Days" was printed in at least 214 newspapers during the nineteenth century. It can be found using ID 522611 in this table of most widely-reprinted poems.
§
- Still sits the school house by the road,
- A ragged beggar sunning;
- Around it still the sumachs grow,
-
And blackberry vines are running.
- Within, the master’s desk is seen,
- Deep scarred by raps official;
- The warping floor, the battered seats,
-
The jack-knife’s cared initial;
- The charcoal frescoes on its wall;
- Its door’s worn sill, betraying
- The feet that, creeping slow to school
-
Went storming out to playing!
- Long years ago a setting sun
- Shone over it at setting;
- Lit up its western window-panes,
-
And low caves’ icy fretting.

- For near her stood the little boy
- Her childish favor singled,
- His cap pulled low upon a face
-
Where pride and shame were mingled.
- Pushing with restless feet the snow
- To right and left he lingered:—
- As restlessly her tiny hands
-
The blue-checked apron fingered.
- He saw her lift her eyes; he felt
- The soft hand’s light caressing,
- And heard the tremble of her voice,
-
As if a fault confessing.
- “I’m sorry that I spelt the word;
- I hate to go above you,
- Because,”—the brown eyes lower fell,—
-
“Because, you see, I love you.”
- Still memory to a gray haired man
- That sweet child-face is showing,
- Dear girl! the grasses on her grave
-
Have forty years been growing!
- He lives to learn, in life’s hard school,
- How few who pass above him
- Lament their triumph and his loss,
- Like her,—because they love him.


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An independent Scotland could rejoin EU relatively quickly, Sturgeon claims
Scotland would be able to rejoin the EU relatively quickly if it were independent, First Minister Nicola Sturgeon has said.
Ms Sturgeon said that Scotland would be “seeking a way back in” to the EU if Brexit goes ahead.
Scotland voted by 62% to remain in the European Union in 2016, and the SNP is keen to halt Brexit.
Ms Sturgeon has already said she wants a fresh ballot on independence to take place in the second half of 2020.
We understand the conditions we would require to meet and the discussions that would require to take place but if we're in a position of Scotland being taken out of the European Union then we will be seeking a way back in
In a BBC interview with Andrew Neil, Ms Sturgeon said that if Scotland becomes independent she believes the timescale for rejoining the EU would be quite fast.
She said: “I’m not going to give you a specific timescale for that.
“In all of my experience of discussions with different interests in the European Union I think that could be relatively quick but that will depend on the discussions we have.
“We understand the conditions we would require to meet and the discussions that would require to take place but if we’re in a position of Scotland being taken out of the European Union then we will be seeking a way back in.”
Asked whether Scotland could join the EU while using the currency of a non-member state, she told the BBC: “We would be setting up a central bank, we would be setting up the infrastructure that is required for that, that is part of the discussion we would have about the European Union, but it is not true to say we would have had to have established an independent currency before joining the European Union.”
She added: “We would have a discussion with the EU about the journey an independent Scotland was on in terms of currency, and the accession if Scotland was already out of the EU to the point where we rejoined the EU.
“Scotland faces right now the uncertainty of being ripped out of the EU against our own will. It’s not of our making.
“And we need to plot the best way forward for our country where we are in charge of the decision that we make.”
READ MORE
Johnson's ‘diplomatic amateurism’ could cause Brexit chaos, warns ex-EU ambassador


The Course
The course is 5000m (5K) long. This has been accurately measured by us with a professional measuring wheel. This event takes place at Kristiansten Festningen. The course is ran on gravel paths and grass. Some sections of the course may accumulate mud, leaves and puddles after rain. Dependent on availability, marshals will be at key sections of the course, or signs will be in place.
Please remember that the parkrun uses shared paths. For the continued success of the event, please give way to other park users. This won't hurt your time, it won't stop you from getting a PB and it will make sure everyone continues to enjoy the event.
Please, wherever possible walk, jog, cycle or use public transport when attending the event. If you do have to drive, please consider car-sharing to reduce our impact on both the environment and other park users. Please also watch out for other park users when arriving and leaving. Parking may be limited so try to arrive early.
Course Safety
The Festningen parkrun is a fun, free event organised by volunteers for the benefit of everyone. We wish to make the run as safe as possible, so runners, spectators and helpers are asked to take care about the following:
- Please be considerate to the park and other park users at all times.
- Children under the age of eleven must be accompanied (within arm's reach) throughout the run by a parent, guardian or appropriate adult of the parent's choice.
- Please arrive by foot, by pedal-power or by public transport if you can - your efforts help to reduce our impact on the park and the planet.
- Please consider volunteering to help occasionally - this event survives only because of your generosity - please visit the volunteer page for more information.
- Take care near roads and car parks - some vehicles drive very quickly. Please congregate away from the cars and be careful in particular if you have children. If you’re driving to the run, please drive carefully even if you’re late!
- When running, take care on uneven surfaces - whether on grass or on tarmac. Watch out for cyclists, other runners, pedestrians, children, dogs, wildlife, park animals, vehicles, park maintenance work, falling branches, bollards, posts and other obstacles around the course.
- Please ensure that you are fit enough to walk, jog, run 5k (3.1 miles) with us. Health advice about running can be found at the excellent Runners' Medical Resource website (although this external website focuses on preparation for a race and does not describe parkrun events).
- Remember to warm up before the run.
- If you see a runner with a serious problem, please stop to help them out and get help as soon as possible.
- If you’re watching, keep clear of runners on the course, and look after any children and dogs you may have with you.
- Runners wishing to run with a dog are welcome, but please keep the dog on a short lead or harness and under control throughout the event. Please also review the parkrun support page article about running with a dog at parkrun events.
- Runners pushing buggies are also welcome, but please take extreme care of other runners around you. If possible start from the back of the field and try to keep to one side of the main body of runners.
- While rare, Lyme Disease is present in areas where deer live, and occasionally passed to human's through infected ticks. See NHS Choices website for more about Lyme Disease, and how to deal with ticks.
We hope these tips help to ensure that Festningen parkrun is fun and safe for everyone.
Age Grading
All parkrun events use Age Grading to help parkrunners compare results.
Age Grading takes your time and uses the world record time for your sex and age group to produce a score (a percentage). This score allows you to compare your personal performance against other people's performances even though they might be a different age and a different sex to you - the higher the score the better the performance. The scores can also be compared across different race distances - to allow you to, for example, compare a 5km time against a marathon.
For more information, please see our Support page.Course Map
Course Description
The start/finish area lies in the northern end of the park at Festningen, by the junction of Festningsgata and Båhus Gate. Starting with a moderate climb, the course consists of 3 laps within the park. The course is run over a mixture of gravel paths and grass and ends with a nice descent back to the start/finish area.Beskrivelse av løypen
Start og målområdet ligger i den nordlige enden av parken rundt Festningen, ved krysset mellom Festningsgata og Båhus gate. Løypen begynner med en liten stigning mot vest og består av 3 runder i parken ved og rundt selve Festningen. Løypen avsluttes med en nedoverbakke nede til samme området som starten.Facilities
There are public toilets inside Kristiansten Festningen.Fasiliteter
Det er offentlige toaletter inne på Festningen ved Kommandanten.Getting There
Location of start
The event starts in the northern end of the park at Festningen, by the junction of Festningsgata and Båhus Gate.Hvor er starten?
Start i den nordlige enden av parken rundt Festningen, ved krysset mellom Festningsgata og Båhus gate.Getting there by public transport
ATB route #63 stops at Festningsgata. It takes 8 mins to walk up to the start area from Innherredsveien by Solsiden, with all the different buses stopping there.Hvordan komme seg hit med kollektivtransport?
Det ligger en bussholdeplass for ATB rute nr. 63 i Festningsgata rett ved start/målområdet. Ellers tar det bare 8 minutter å gå opp til området fra Innherredsveien ved Solsiden. (Betjent av mange ulike ruter).Getting there on foot
From the carpark at Festningen follow the path around the fort to the north and down to the start/finish area, close to Trondheim International School.Hvordan komme seg hit til fots?
Fra parkeringsplassen ved inngangen til Festningen, følg stien nordover og nedover mot Trondheim International School. Start/målområdet ligger I parkens nordlige ende.Getting there by road
From the city centre, head north along Kjøpmannsgata. Turn right over Bakke Bru. Take a second right at Nonnegata. Follow Nonnegata uphill to the junction with Stading Dahls gate. Turn right at the junction, followed by a quick right into Festningsgata. The park, with the start/finish area lies on the left.Hvordan komme seg hit med bil?
Fra midtbyen, kjør nordover langs Kjøpmannsgata. Ta til høyre over Bakke Bru. Ta til høyre igjen ved Nonnegata og følg denne helt til toppen til krysset med Stading Dahls gate. Her tar man til høyre og så en gang til inne i Festningensgata. Startområdet ligger til venstre i parken.Post Run Coffee
After the run each week, we meet at Dromedar Kaffebar, by Bakke bru (Nedre Bakklandet 77). It is only a short walk straight downhill from the start/finish area.Vi samles for en kopp kaffe på Dromedar Kaffebar ved Bakkebru etter løpet hver uke. Kaféen er bare en kort gåtur nedoverbakken fra mål-området.


Gecode::Int::Element::IdxValMap Class Reference
List of all members.
Detailed Description
Class for index-value map.
Definition at line 174 of file int.icc.
|
Public Member Functions |
| template<class ViewA> |
| void | init (int *, ViewA) |
| template<class ViewA> |
| void | prune_idx (ViewA) |
| | Pruning from variables on data structure.
|
| template<class ViewB> |
| void | prune_val (ViewB) |
| template<class ViewA, class ViewB> |
| ExecStatus | tell (Space *, ViewA, ViewB) |
| | Telling data structure to variables: returns true if at fixpoint.
|
| size_t | size (void) const |
Static Public Member Functions |
| static IdxValMap * | allocate (int) |
| | Allocating and initializing the data structure.
|
| static void | operator delete (void *p, size_t) |
Member Function Documentation
| IdxValMap * Gecode::Int::Element::IdxValMap::allocate |
( |
int |
n |
) |
[inline, static] |
Allocating and initializing the data structure.
Definition at line 208 of file int.icc.
template<class ViewA>
| void Gecode::Int::Element::IdxValMap::init |
( |
int * |
a, |
|
|
ViewA |
ix | |
|
) |
| | [inline] |
template<class ViewA>
| void Gecode::Int::Element::IdxValMap::prune_idx |
( |
ViewA |
x0 |
) |
[inline] |
Pruning from variables on data structure.
Definition at line 256 of file int.icc.
template<class ViewB>
| void Gecode::Int::Element::IdxValMap::prune_val |
( |
ViewB |
x1 |
) |
[inline] |
template<class ViewA, class ViewB>
| ExecStatus Gecode::Int::Element::IdxValMap::tell |
( |
Space * |
home, |
|
|
ViewA |
x0, |
|
|
ViewB |
x1 | |
|
) |
| | [inline] |
Telling data structure to variables: returns true if at fixpoint.
Definition at line 297 of file int.icc.
| size_t Gecode::Int::Element::IdxValMap::size |
( |
void |
|
) |
const [inline] |
| void Gecode::Int::Element::IdxValMap::operator delete |
( |
void * |
p, |
|
|
size_t |
| |
|
) |
| | [inline, static] |
The documentation for this class was generated from the following file:


If you like Form Filler, please rate it on the Chrome Web Store. If you have any suggestions to make this extension better, or find any issues, please let me know here.
Form Filler uses the ID, NAME and CLASS values of an input field to determine its data type. You can adjust the search phrases in the text boxes below to tweak how Form Filler determines the correct data types.
Basically, any partial match in the attributes underlined:<input type="anything" id="match" name="match" class="match" />


Cat Prohibited Zone - forbidden for cats
Collection of Stickers Prohibiting the Keeping and Breeding of Domestic and Stray Cats. Defining a Cat-Free Zone.
Stickers against marijuana and soft drugs.
Marijuana use comes with real risks that can impact a person's health and life. Anti Drug stickers collection.
Age Restriction Stickers - All ages
Self-adhesive high-quality stickers. Prohibition of presence for individuals under eighteen, twenty-one... Age.Interesting designs.
Prohibition signs for extraterrestrial intruders - No Aliens
Red warning signs for unwelcome extraterrestrial intruders. Prohibited for aliens.
Funny and unconventional prohibition signs with animals
Unconventional red prohibition signs with various animals. Snake, pig, unicorn, seahorse, kangaroo...


Colonel Habib Zahir's death certificate circulating on social media is fake: FO
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) – Foreign Office Spokesperson Dr. Muhammad Faisal has said the death certificate of Colonel Habib Zahir – making rounds on social media – is fake.
At his weekly news briefing in Islamabad on Thursday, Dr. Muhammad Faisal said it is obviously campaign of sensationalization being undertaken by hostile agencies against Pakistan and its nationals.
The spokesperson said Pakistan and the family of Colonel Habib Zahir – who was kidnapped more than two years ago from an area in Nepal close to Indian border – are extremely concerned about his whereabouts.


| goog.structs.Queue |
|
clear()
No description.
|
code » | ||
|
contains(obj)
⇒
Returns true if the given value is in the queue.
Arguments:
Returns:
Whether the object is in the queue.
|
code » | ||
|
dequeue()
⇒
*
Retrieves and removes the head of this queue.
Returns:
*
The element at the head of this queue. Returns undefined if the queue is empty.
|
code » | ||
|
enqueue(element)
Puts the specified element on this queue.
Arguments:
|
code » | ||
|
getCount()
⇒
Returns the number of elements in this queue.
Returns:
The number of elements in this queue.
|
code » | ||
|
getValues()
⇒
Returns all the values in the queue.
Returns:
An array of the values in the queue.
|
code » | ||
|
isEmpty()
⇒
Returns true if this queue contains no elements.
Returns:
true if this queue contains no elements.
|
code » | ||
|
peek()
⇒
*
Retrieves but does not remove the head of this queue.
Returns:
*
The element at the head of this queue. Returns undefined if the queue is empty.
|
code » | ||
|
remove(obj)
⇒
Removes the first occurrence of a particular value from the queue.
Arguments:
Returns:
True if an element was removed.
|
code » |


curl_strequal, curl_strnequal - case insensitive string
comparisons
SYNOPSIS
#include <curl/curl.h>
int curl_strequal(char *str1, char *str2);
int curl_strenqual(char *str1, char *str2, size_t len);
DESCRIPTION
The curl_strequal() function compares the two strings str1
and str2, ignoring the case of the characters. It returns
a non-zero (TRUE) integer if the strings are identical.
The curl_strnequal() function is similar, except it only
compares the first len characters of str1.
These functions are provided by libcurl to enable applica-
tions to compare strings in a truly portable manner. There
are no standard portable case insensitive string compari-
son functions. These two works on all platforms.
RETURN VALUE
Non-zero if the strings are identical. Zero if they're
not.
SEE ALSO
strcmp(3), strcasecmp(3)
Man(1) output converted with
man2html


Dragonhound 4096 MB Server - 149.28.xxx.xxx Dallas $0.87 Running
Insightful 8192 MB Server - 149.28.xxx.xxx Seattle $1.73 Running
Staked Pool 4096 MB Server - 45.76.xxx.xxx Sydney $0.87 Running
mail.dragonhound.tech 2048 MB Server - 139.180.xxx.xxx Singapore $0.44 Running
flir2qr 2048 MB Server - 66.42.xxx.xxx Singapore $0.44 Running
beats foxtel/netflicks, but if I had a missus I'd have to hide the bills
(edited)


--- layout: post title: Ready to use Codeigniter Modular Extensions HMVC permalink: ready-to-use-codeigniter-modular-extensions-hmvc/ date: 2012-12-17 04:44:31.000000000 +08:00 categories: - Copy Paste - howto - php tags: - ci hmvc download - hmvc download - modular extensions hmvc download - plug and play ci hmvc - ready to use ci hmvc status: publish type: post published: true meta: review_rating: '' _edit_last: '2' _wpas_done_all: '1' _thumbnail_id: '853' _wpas_skip_1611607: '1' _wpas_skip_2452381: '1' _wpas_skip_2203490: '1' _wpas_skip_2452385: '1' _wpas_skip_2452386: '1' dsq_thread_id: '2955478479' cleaned: true ---
Hierarchical Model-View-Controller (HMVC) breaks down an application into manageable smaller components. The best analogy for this is your PC computer. A PC has smaller parts like power supply, microprocessor, hard disk, mouse, keyboard etc. Each part is doing specific function to make the whole PC run.
The advantage of this is when your hard disk malfunctioned, you just need to troubleshoot or replace the hard disk. Likewise, when other component seems malfunctioning, all you need to do is identify the part that is responsible for that functionality and just replace/fix it. You could even bring your hard disk with you and plug it in other computer and you can use your data right away without any hassle.
Going back to CodeIgniter, when you are developing complex CI application, let's say you have 3 different controllers for each different component of the application. The problem here is, those 3 different controllers shares the same set of models/views/helpers.
So let's say you just want to transfer 1 controller to another CI application, you need to trace all of the models/views/helpers it uses and transfer those as well. Sometimes, when you transfer those files to another complex CI application, it is easy to get conflicts on class/function names to the target application.
With all the controllers sharing the same set of models/libraries/models, it is also very hard to fix errors (specially logic errors) since a fix on one controller could conflict with another controller.
With HMVC, it will break down your CI application into independent, portable, easy to debug parts which enables developers to isolate different parts of the applications.
On the image above, you will see that the application is composed of 6 modules. These modules are like mini-applications tied together in a single application since each has its own set of Controllers/Models/View/Helpers.
Module 4 has no models, helpers or even view files of its own and just calls the Module 1 and 2 for its needs.
Module 5 and 6 has some of the files, but some functionality is also present in Module 2 and 3 (accessing the database for example). Instead of re-implementing the functionality, he just can call the other modules for it's needs w/o needing to know the internal details of the other modules.
This strategy makes the application easy to maintain since the dependency of each part is reduced and you can simply fix the defective modules w/o worrying that the change could possibly conflict with another.
Now, on the implementation part. Everything is the same like an ordinary CI application, except that you will just put the mini-applications in the applications/modules subfolder. Each folder in modules folder is like an isolated application of its own in a sense that each can have their own set of libraries/models/views/helpers completely isolated to each other.
If you had just happened to read the Modular Extensions HMVC stuffs on either via wiredesigns or nettuts+ you might find that it is quite tedious to do all those code changes/moving of files that they are asking for you to do just to get started in using the Hierarchical Model View Controller in CodeIgniter.
This post will not repeat all the tutorial and concepts which is already mentioned in those tutorials. But rather, it focuses on giving you the actual files that is needed to get started with CI-HMVC, so that you can skip ahead the gory details of setting it up by yourself and either start using it right away or have a glimpse on how do a working copy should look like when finished.
Note that this is just an ordinary CodeIgniter 2.1.0 installation with HMVC already setup and ready to be dropped in any folder in your web-server. The only thing you need to do is of course adjust the base_url in the config.php file and maybe some database settings (if you need to).


| Class | Description |
|---|---|
| AbstractLSTM |
LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks
http://www.cs.toronto.edu/~graves/phd.pdf
|
| AbstractLSTM.Builder<T extends AbstractLSTM.Builder<T>> | |
| ActivationLayer |
Activation layer is a simple layer that applies the specified activation function to the input activations
|
| ActivationLayer.Builder | |
| AutoEncoder |
Autoencoder layer.
|
| AutoEncoder.Builder | |
| BaseLayer |
A neural network layer.
|
| BaseLayer.Builder<T extends BaseLayer.Builder<T>> | |
| BaseOutputLayer | |
| BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>> | |
| BasePretrainNetwork | |
| BasePretrainNetwork.Builder<T extends BasePretrainNetwork.Builder<T>> | |
| BaseRecurrentLayer | |
| BaseRecurrentLayer.Builder<T extends BaseRecurrentLayer.Builder<T>> | |
| BaseUpsamplingLayer |
Upsampling base layer
|
| BaseUpsamplingLayer.UpsamplingBuilder<T extends BaseUpsamplingLayer.UpsamplingBuilder<T>> | |
| BatchNormalization |
Batch normalization layer
See: Ioffe and Szegedy, 2014, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift https://arxiv.org/abs/1502.03167 |
| BatchNormalization.Builder | |
| CapsuleLayer |
An implementation of the DigiCaps layer from Dynamic Routing Between Capsules
Input should come from a PrimaryCapsules layer and be of shape [mb, inputCaps, inputCapDims].
|
| CapsuleLayer.Builder | |
| CapsuleStrengthLayer |
An layer to get the "strength" of each capsule, that is, the probability of it being in the input.
|
| CapsuleStrengthLayer.Builder | |
| CenterLossOutputLayer |
Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed
forward of multiple examples.
|
| CenterLossOutputLayer.Builder | |
| Cnn3DLossLayer |
3D Convolutional Neural Network Loss Layer.
|
| Cnn3DLossLayer.Builder | |
| CnnLossLayer |
Convolutional Neural Network Loss Layer.
|
| CnnLossLayer.Builder | |
| Convolution1D |
1D convolution layer.
|
| Convolution1DLayer |
1D (temporal) convolutional layer.
|
| Convolution1DLayer.Builder | |
| Convolution2D |
2D convolution layer
|
| Convolution3D |
3D convolution layer configuration
|
| Convolution3D.Builder | |
| ConvolutionLayer |
2D Convolution layer (for example, spatial convolution over images).
|
| ConvolutionLayer.BaseConvBuilder<T extends ConvolutionLayer.BaseConvBuilder<T>> | |
| ConvolutionLayer.Builder | |
| Deconvolution2D |
2D deconvolution layer configuration
Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. |
| Deconvolution2D.Builder | |
| Deconvolution3D |
3D deconvolution layer configuration
Deconvolutions are also known as transpose convolutions or fractionally strided convolutions. |
| Deconvolution3D.Builder | |
| DenseLayer |
Dense layer: a standard fully connected feed forward layer
|
| DenseLayer.Builder | |
| DepthwiseConvolution2D |
2D depth-wise convolution layer configuration.
|
| DepthwiseConvolution2D.Builder | |
| DropoutLayer |
Dropout layer.
|
| DropoutLayer.Builder | |
| EmbeddingLayer |
Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to
numClass-1) as input.
|
| EmbeddingLayer.Builder | |
| EmbeddingSequenceLayer |
Embedding layer for sequences: feed-forward layer that expects fixed-length number (inputLength) of integers/indices
per example as input, ranged from 0 to numClasses - 1.
|
| EmbeddingSequenceLayer.Builder | |
| FeedForwardLayer |
Created by jeffreytang on 7/21/15.
|
| FeedForwardLayer.Builder<T extends FeedForwardLayer.Builder<T>> | |
| GlobalPoolingLayer |
Global pooling layer - used to do pooling over time for RNNs, and 2d pooling for CNNs.
|
| GlobalPoolingLayer.Builder | |
| GravesBidirectionalLSTM | Deprecated
use
Bidirectional instead. |
| GravesBidirectionalLSTM.Builder | |
| GravesLSTM | Deprecated
Will be eventually removed.
|
| GravesLSTM.Builder | |
| InputTypeUtil |
Utilities for calculating input types
|
| Layer |
A neural network layer.
|
| Layer.Builder<T extends Layer.Builder<T>> | |
| LayerValidation |
Utility methods for validating layer configurations
|
| LearnedSelfAttentionLayer |
Implements Dot Product Self Attention with learned queries
Takes in RNN style input in the shape of [batchSize, features, timesteps]
and applies dot product attention using learned queries.
|
| LearnedSelfAttentionLayer.Builder | |
| LocallyConnected1D |
SameDiff version of a 1D locally connected layer.
|
| LocallyConnected1D.Builder | |
| LocallyConnected2D |
SameDiff version of a 2D locally connected layer.
|
| LocallyConnected2D.Builder | |
| LocalResponseNormalization |
Local response normalization layer
See section 3.3 of http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf |
| LocalResponseNormalization.Builder | |
| LossLayer |
LossLayer is a flexible output layer that performs a loss function on an input without MLP logic.
|
| LossLayer.Builder | |
| LSTM |
LSTM recurrent neural network layer without peephole connections.
|
| LSTM.Builder | |
| NoParamLayer | |
| OutputLayer |
Output layer used for training via backpropagation based on labels and a specified loss function.
|
| OutputLayer.Builder | |
| Pooling1D |
1D Pooling (subsampling) layer.
|
| Pooling2D |
2D Pooling (subsampling) layer.
|
| PReLULayer |
Parametrized Rectified Linear Unit (PReLU)
f(x) = alpha * x for x < 0, f(x) = x for x >= 0
alpha has the same shape as x and is a learned parameter. |
| PReLULayer.Builder | |
| PrimaryCapsules |
An implementation of the PrimaryCaps layer from Dynamic Routing Between Capsules
Is a reshaped 2D convolution, and the input should be 2D convolutional ([mb, c, h, w]).
|
| PrimaryCapsules.Builder | |
| RecurrentAttentionLayer |
Implements Recurrent Dot Product Attention
Takes in RNN style input in the shape of [batchSize, features, timesteps]
and applies dot product attention using the hidden state as the query and
all time steps as keys/values.
|
| RecurrentAttentionLayer.Builder | |
| RnnLossLayer |
Recurrent Neural Network Loss Layer.
|
| RnnLossLayer.Builder | |
| RnnOutputLayer |
A version of
OutputLayer for recurrent neural networks. |
| RnnOutputLayer.Builder | |
| SelfAttentionLayer |
Implements Dot Product Self Attention
Takes in RNN style input in the shape of [batchSize, features, timesteps]
and applies dot product attention using each timestep as the query.
|
| SelfAttentionLayer.Builder | |
| SeparableConvolution2D |
2D Separable convolution layer configuration.
|
| SeparableConvolution2D.Builder | |
| SpaceToBatchLayer |
Space to batch utility layer configuration for convolutional input types.
|
| SpaceToBatchLayer.Builder<T extends SpaceToBatchLayer.Builder<T>> | |
| SpaceToDepthLayer |
Space to channels utility layer configuration for convolutional input types.
|
| SpaceToDepthLayer.Builder<T extends SpaceToDepthLayer.Builder<T>> | |
| Subsampling1DLayer |
1D (temporal) subsampling layer - also known as pooling layer.
|
| Subsampling1DLayer.Builder | |
| Subsampling3DLayer |
3D subsampling / pooling layer for convolutional neural networks
Supports max and average pooling modes
|
| Subsampling3DLayer.BaseSubsamplingBuilder<T extends Subsampling3DLayer.BaseSubsamplingBuilder<T>> | |
| Subsampling3DLayer.Builder | |
| SubsamplingLayer |
Subsampling layer also referred to as pooling in convolution neural nets
Supports the following pooling types: MAX, AVG, SUM, PNORM
|
| SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>> | |
| SubsamplingLayer.Builder | |
| Upsampling1D |
Upsampling 1D layer
Repeats each step size times along the temporal/sequence axis (dimension 2)For input shape [minibatch, channels, sequenceLength] output has shape [minibatch, channels, size *
sequenceLength] Example: If input (for a single example, with channels down page, and sequence from left to right) is: [ A1, A2, A3] [ B1, B2, B3] Then output with size = 2 is: [ A1, A1, A2, A2, A3, A3] [ B1, B1, B2, B2, B3, B2] |
| Upsampling1D.Builder | |
| Upsampling2D |
Upsampling 2D layer
Repeats each value (or rather, set of depth values) in the height and width dimensions by size[0] and size[1] times respectively. |
| Upsampling2D.Builder | |
| Upsampling3D |
Upsampling 3D layer
Repeats each value (all channel values for each x/y/z location) by size[0], size[1] and size[2] If input has shape [minibatch, channels, depth, height, width] then output has shape [minibatch, channels, size[0] * depth, size[1] * height, size[2] * width] |
| Upsampling3D.Builder | |
| ZeroPadding1DLayer |
Zero padding 1D layer for convolutional neural networks.
|
| ZeroPadding1DLayer.Builder | |
| ZeroPadding3DLayer |
Zero padding 3D layer for convolutional neural networks.
|
| ZeroPadding3DLayer.Builder | |
| ZeroPaddingLayer |
Zero padding layer for convolutional neural networks (2D CNNs).
|
| ZeroPaddingLayer.Builder |
| Enum | Description |
|---|---|
| Convolution3D.DataFormat |
An optional dataFormat: "NDHWC" or "NCDHW".
|
| ConvolutionLayer.AlgoMode |
The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the
ConvolutionLayer.FwdAlgo ,
ConvolutionLayer.BwdFilterAlgo , and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors
occur when using cuDNN, please try the "NO_WORKSPACE" mode. |
| ConvolutionLayer.BwdDataAlgo |
The backward data algorithm to use when
ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED". |
| ConvolutionLayer.BwdFilterAlgo |
The backward filter algorithm to use when
ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED". |
| ConvolutionLayer.FwdAlgo |
The forward algorithm to use when
ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED". |
| PoolingType |
Pooling type:
MAX: Max pooling - output is the maximum value of the input values AVG: Average pooling - output is the average value of the input values SUM: Sum pooling - output is the sum of the input values PNORM: P-norm pooling |
| SpaceToDepthLayer.DataFormat | Deprecated
Use
CNN2DFormat instead |
| Subsampling3DLayer.PoolingType | |
| SubsamplingLayer.PoolingType |
Copyright © 2020. All rights reserved.


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Cast Away * * *1/2 out of * * * * Starring: Tom Hanks, Helen Hunt, Nick Searcy, Christopher Noth, Lari White. Directed by: Robert Zemeckis Running Time: 143 minutes Rated PG-13: intense action, some violence/gore.
Robert Zemeckis may as well be the next genius, even with the not so great "Death Becomes Her", Zemeckis gave it a touch to make it enjoyable and entertaining, and it even won an Academy Award for it's astonishing special effects. Earlier in 2000 Zemeckis brought us the clever and scary "What Lies Beneath", and now for the holiday season of 2000 "Cast Away" another pairing of Zemeckis and actor Tom Hanks, and behold we have a new 'great' movie to add to my top 10 of 2000 list.
Tom Hanks plays FedEx executive Chuck Noland, who is in Europe with his "recruits" teaching them how to become faster FedEx employees. He promises the love of his life Kelly Frears (Helen Hunt) that he will return to her, and does but is quickly called back into work. While boarding the plane he mutters the words "I'll be right back" and boards the doomed flight. His plane takes a quick nosedive towards the ocean below, and Chuck survives and is washed along a shore on a nearby island. Not sure what to do, or where he is, he panics but soon starts to adapt to island life. Now he must try to survive on the island, as well as not give up hope to get back to his life...and his love Kelly.
An amazing story of not only survival and love, but also as a character study we get to know who Chuck Noland really is, and what he wants in life. His love for Kelly Frears is so strong that I was hoping, and praying he was going to make it back home. Of course if you have seen the trailer for the movie, you know what happens, and if you haven't then I guess you will have to watch the movie to find out.
Tom Hanks who has starred in several great movies (Saving Private Ryan, Forrest Gump, and even Big) he has come to be possibly my favorite actor of the century if not all time. He won an Oscar for his brilliant work as a man with AIDS fired because he was gay in "Philadelphia"...to his memorable character of the sweet Forrest Gump in "Forrest Gump" Tom Hanks has come to show he can give great performances, "Cast Away" is no let down. Once Tom Hanks graces the screen, he becomes Chuck Noland and becomes a survivor on the island. Spending almost an hour and a half on the screen by himself, it is absolutely mind-blowing how we are so absorbed by him on this island, that the time flies by.
This may be Tom Hanks' best performance of his career, and with an Oscar Nomination on his heels, he certainly deserves it. Helen Hunt who starred in the awful "Dr. T & The Women", the funny "What Women Want", and pain inducing "Pay it Forward" plays Kelly Frears, the love of Chuck's life. Even though she is given maybe twenty minutes of screen time total, what she has is fantastic and what she does with it is amazing. A scene towards the end of the movie is so touching, that a tear came to my eye and my heart started to beat fast. Tom Hanks and Helen Hunt definitely have that screen formula, they make a great couple.
Talking before about Robert Zemeckis and his genius direction "Cast Away" is no exception, with some of the island scenes being beautifully shot, the locations being absolutely marvelous I was quite impressed. While not having the nifty camera shots "What Lies Beneath" had, and you have to admit there was some cool shots, "Cast Away" relies more on the study of Chuck and his survival. The script by William Broyles Jr. is in it's own way mind-blowing because of the fact for almost an hour and half as mentioned before, Tom Hanks is alone in the movie on the island with only a few lines of dialogue said.
"Cast Away" has a place on my top 10 list of 2000, it's a nearly flawless character study of a man who has to rely on himself to survive. Some people may try to compare this to the new phenomena "Survivor", but since that show has several people, and "Cast Away" has one person...it is quite hard to even begin to compare. The ending is something to be questioned, and like most of Zemeckis' endings, it can be taken in anyway the viewer wants. "Cast Away" is not just a great film, but a great example of how Hollywood still has the ability to make good movies.
Reviewed by Brandon Herring 3-11-01.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


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{% endblock %}


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Class: Aws::EMR::Types::ComputeLimits
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb |
Overview
The Amazon ::Aws::EC2
unit limits for a managed scaling policy. The managed
scaling activity of a cluster can not be above or below these limits.
The limit only applies to the core and task nodes. The master node
cannot be scaled after initial configuration.
Constant Summary
Instance Attribute Summary
-
#maximum_capacity_units ⇒ Integer
rw
The upper boundary of Amazon EC2 units.
-
#maximum_core_capacity_units ⇒ Integer
rw
The upper boundary of Amazon EC2 units for core node type in a cluster.
-
#maximum_on_demand_capacity_units ⇒ Integer
rw
The upper boundary of On-Demand Amazon EC2 units.
-
#minimum_capacity_units ⇒ Integer
rw
The lower boundary of Amazon EC2 units.
-
#unit_type ⇒ String
rw
The unit type used for specifying a managed scaling policy.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#maximum_capacity_units ⇒ Integer
(rw)
The upper boundary of Amazon EC2 units. It is measured through vCPU cores or instances for instance groups and measured through units for instance fleets. Managed scaling activities are not allowed beyond this boundary. The limit only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1005
class ComputeLimits < Struct.new( :unit_type, :minimum_capacity_units, :maximum_capacity_units, :maximum_on_demand_capacity_units, :maximum_core_capacity_units) SENSITIVE = [] include Aws::Structure end
#maximum_core_capacity_units ⇒ Integer
(rw)
The upper boundary of Amazon EC2 units for core node type in a cluster. It is measured through vCPU cores or instances for instance groups and measured through units for instance fleets. The core units are not allowed to scale beyond this boundary. The parameter is used to split capacity allocation between core and task nodes.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1005
class ComputeLimits < Struct.new( :unit_type, :minimum_capacity_units, :maximum_capacity_units, :maximum_on_demand_capacity_units, :maximum_core_capacity_units) SENSITIVE = [] include Aws::Structure end
#maximum_on_demand_capacity_units ⇒ Integer
(rw)
The upper boundary of On-Demand Amazon EC2 units. It is measured through vCPU cores or instances for instance groups and measured through units for instance fleets. The On-Demand units are not allowed to scale beyond this boundary. The parameter is used to split capacity allocation between On-Demand and Spot Instances.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1005
class ComputeLimits < Struct.new( :unit_type, :minimum_capacity_units, :maximum_capacity_units, :maximum_on_demand_capacity_units, :maximum_core_capacity_units) SENSITIVE = [] include Aws::Structure end
#minimum_capacity_units ⇒ Integer
(rw)
The lower boundary of Amazon EC2 units. It is measured through vCPU cores or instances for instance groups and measured through units for instance fleets. Managed scaling activities are not allowed beyond this boundary. The limit only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1005
class ComputeLimits < Struct.new( :unit_type, :minimum_capacity_units, :maximum_capacity_units, :maximum_on_demand_capacity_units, :maximum_core_capacity_units) SENSITIVE = [] include Aws::Structure end
#unit_type ⇒ String
(rw)
The unit type used for specifying a managed scaling policy.
# File 'gems/aws-sdk-emr/lib/aws-sdk-emr/types.rb', line 1005
class ComputeLimits < Struct.new( :unit_type, :minimum_capacity_units, :maximum_capacity_units, :maximum_on_demand_capacity_units, :maximum_core_capacity_units) SENSITIVE = [] include Aws::Structure end


Easy Pull Requests
There are many reasons to start contributing to open source:
- to give back to the community
- to fix a bug in software you depend on
- warm fuzzies
But you don’t always have the time or energy to understand a new codebase well enough to make a meaningful change to it. And even if you do, it’s not clear that this is the best use of your time.
Your pull request might linger untouched for months, like the source control equivalent of shouting into the void. Alternatively, the maintainer might be having a bad day and dismiss your pull request or expect you to do some arcane Git voodoo to bring it up to their exacting standards. All this can turn the gift of patches into a boring and unpleasant chore.
For a long time I mistakenly believed the the only real contributions were those that included code to fix bugs or add new features. Eventually I realised there were simpler ways of getting my name in commit logs and my open source contributions vastly increased.
I decided to focus on easy pull requests as a precursor to, or instead of, engaging more fully with a project. What do I mean by this?
Documentation and typo fixes
Lindsey Kuper has a great post on these. They are my favourite because I am a pedant. Witness the absurd number of README updates I have to my name. They’re as easy as noticing a typo, clicking the pencil icon, and fixing it. Editing project documentation is similarly straightforward.
This is the quickest way I know of to contribute and gauge a project’s health at the same time. If your typo fix doesn’t get merged quickly, then a more substantial change probably won’t either and you’ll have found that out quickly.
Linter suggestions
One day I decided to run HLint, a Haskell linter, on a couple of projects and open PRs accordingly. I had mixed results.
This technique isn’t Haskell specific, and I think it is especially well-suited
to Python and Go projects where there is a ‘blessed’ style to work off and
tools like flake8
and gofmt
are available.
If your change gets accepted, then you’ll be improving code quality and paving the way for future contributors. If it doesn’t, then you might have a discussion about good style that might lead to a documentation PR! If the maintainers are hostile, then you’re probably better off elsewhere.
Automated testing
I’m a big fan of automation, and I’d consider it one of the themes of this blog. A large number of projects don’t have good automated test suites, and even those that do sometimes let their CI setup rot over time. If this is the case, setting up Travis or Circle CI is a low-effort (if occasionally high-frustration) way of vastly improving a project. If information about how to test a specific project isn’t readily available, this is also a great opportunity for a README update (see above).
Again: if you don’t get a quick response, or at least a positive one, I think it’s a good sign that this project is not worth your time and at least you won’t have put a ton of effort into finding that out.
Of course, these aren’t the only types of easy contributions you can make: other ideas are documenting the undocumented, adding or refactoring tests, and using the issue tracker to call attention to bugs. Neil Mitchell has a great presentation on ‘Drive-by Haskell Contributions’, although the general approach is applicable to your programming language of choice.
I hope I’ve given you a few ideas about contributing to open source and how you can make effective use of your time, and I’d love to see more easy pull requests by you!
Thanks to Julia Evans, Harold Treen, and Rudi Chen for comments and feedback.


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| Class | RTF::TableCellNode |
| In: |
lib/rtf/node.rb
|
| Parent: | CommandNode |
This class represents a cell within an RTF table. The TableCellNode is a specialised command node that is forbidden from creating tables or having its parent changed.
| DEFAULT_WIDTH | = | 300 | A definition for the default width for the cell. |
| shading_colour | [R] | Attribute accessor. |
| style | [W] | Attribute mutator. |
| style | [R] | Attribute accessor. |
| width | [W] | Attribute mutator. |
| width | [R] | Attribute accessor. |
This is the constructor for the TableCellNode class.
| row: | The row that the cell belongs to. |
| width: | The width to be assigned to the cell. This defaults to TableCellNode::DEFAULT_WIDTH. |
| style: | The style that is applied to the cell. This must be a ParagraphStyle class. Defaults to nil. |
| top: | The border width for the cells top border. Defaults to nil. |
| right: | The border width for the cells right hand border. Defaults to nil. |
| bottom: | The border width for the cells bottom border. Defaults to nil. |
| left: | The border width for the cells left hand border. Defaults to nil. |
| RTFError: | Generated whenever an invalid style setting is specified. |
# File lib/rtf/node.rb, line 759 759: def initialize(row, width=DEFAULT_WIDTH, style=nil, top=nil, right=nil, 760: bottom=nil, left=nil) 761: super(row, nil) 762: if style != nil && style.is_paragraph_style? == false 763: RTFError.fire("Non-paragraph style specified for TableCellNode "\ 764: "constructor.") 765: end 766: 767: @width = (width != nil && width > 0) ? width : DEFAULT_WIDTH 768: @borders = [(top != nil && top > 0) ? top : nil, 769: (right != nil && right > 0) ? right : nil, 770: (bottom != nil && bottom > 0) ? bottom : nil, 771: (left != nil && left > 0) ? left : nil] 772: @shading_colour = nil 773: @style = style 774: end
This method assigns a width, in twips, for the borders on all sides of the cell. Negative widths will be ignored and a width of zero will switch the border off.
| width: | The setting for the width of the border. |
# File lib/rtf/node.rb, line 799 799: def border_width=(width) 800: size = width == nil ? 0 : width 801: if size > 0 802: @borders[0] = @borders[1] = @borders[2] = @borders[3] = size.to_i 803: else 804: @borders = [nil, nil, nil, nil] 805: end 806: end
This method retrieves an array with the cell border width settings. The values are inserted in top, right, bottom, left order.
# File lib/rtf/node.rb, line 877 877: def border_widths 878: widths = [] 879: @borders.each {|entry| widths.push(entry == nil ? 0 : entry)} 880: widths 881: end
This method fetches the width for bottom border of a cell.
# File lib/rtf/node.rb, line 894 894: def bottom_border_width 895: @borders[2] == nil ? 0 : @borders[2] 896: end
This method assigns a border width to the bottom side of a table cell. Negative values are ignored and a value of 0 switches the border off.
| width: | The new border width setting. |
# File lib/rtf/node.rb, line 841 841: def bottom_border_width=(width) 842: size = width == nil ? 0 : width 843: if size > 0 844: @borders[2] = size.to_i 845: else 846: @borders[2] = nil 847: end 848: end
This method fetches the width for left border of a cell.
# File lib/rtf/node.rb, line 899 899: def left_border_width 900: @borders[3] == nil ? 0 : @borders[3] 901: end
This method assigns a border width to the left side of a table cell. Negative values are ignored and a value of 0 switches the border off.
| width: | The new border width setting. |
# File lib/rtf/node.rb, line 855 855: def left_border_width=(width) 856: size = width == nil ? 0 : width 857: if size > 0 858: @borders[3] = size.to_i 859: else 860: @borders[3] = nil 861: end 862: end
This method overloads the paragraph method inherited from the ComamndNode class to forbid the creation of paragraphs.
| justification: | The justification to be applied to the paragraph. |
| before: | The amount of space, in twips, to be inserted before the paragraph. Defaults to nil. |
| after: | The amount of space, in twips, to be inserted after the paragraph. Defaults to nil. |
| left: | The amount of indentation to place on the left of the paragraph. Defaults to nil. |
| right: | The amount of indentation to place on the right of the paragraph. Defaults to nil. |
| first: | The amount of indentation to place on the left of the first line in the paragraph. Defaults to nil. |
# File lib/rtf/node.rb, line 918 918: def paragraph(justification=CommandNode::LEFT_JUSTIFY, before=nil, 919: after=nil, left=nil, right=nil, first=nil) 920: RTFError.fire("TableCellNode#paragraph() called. Table cells cannot "\ 921: "contain paragraphs.") 922: end
This method overloads the parent= method inherited from the Node class to forbid the alteration of the cells parent.
| parent: | A reference to the new node parent. |
# File lib/rtf/node.rb, line 929 929: def parent=(parent) 930: RTFError.fire("Table cell nodes cannot have their parent changed.") 931: end
This method fetches the width for right border of a cell.
# File lib/rtf/node.rb, line 889 889: def right_border_width 890: @borders[1] == nil ? 0 : @borders[1] 891: end
This method assigns a border width to the right side of a table cell. Negative values are ignored and a value of 0 switches the border off.
| width: | The new border width setting. |
# File lib/rtf/node.rb, line 827 827: def right_border_width=(width) 828: size = width == nil ? 0 : width 829: if size > 0 830: @borders[1] = size.to_i 831: else 832: @borders[1] = nil 833: end 834: end
This method alters the shading colour associated with a TableCellNode object.
| colour: | A reference to the Colour object to use in shading the cell. Assign nil to clear cell shading. |
# File lib/rtf/node.rb, line 870 870: def shading_colour=(colour) 871: root.colours << colour 872: @shading_colour = colour 873: end
Attribute mutator.
| style: | A reference to the style object to be applied to the cell. Must be an instance of the ParagraphStyle class. Set to nil to clear style settings. |
| RTFError: | Generated whenever an invalid style setting is specified. |
# File lib/rtf/node.rb, line 785 785: def style=(style) 786: if style != nil && style.is_paragraph_style? == false 787: RTFError.fire("Non-paragraph style specified for TableCellNode "\ 788: "constructor.") 789: end 790: @style = style 791: end
This method overrides the table method inherited from CommandNode to forbid its use in table cells.
| rows: | The number of rows for the table. |
| columns: | The number of columns for the table. |
| *widths: | One or more integers representing the widths for the table columns. |
# File lib/rtf/node.rb, line 941 941: def table(rows, columns, *widths) 942: RTFError.fire("TableCellNode#table() called. Nested tables not allowed.") 943: end
This method generates the RTF document text for a TableCellNode object.
# File lib/rtf/node.rb, line 946 946: def to_rtf 947: text = StringIO.new 948: separator = split? ? "\n" : " " 949: line = (separator == " ") 950: 951: text << "\\pard\\intbl" 952: text << @style.prefix(nil, nil) if @style != nil 953: text << separator 954: self.each do |entry| 955: text << "\n" if line 956: line = true 957: text << entry.to_rtf 958: end 959: text << (split? ? "\n" : " ") 960: text << "\\cell" 961: 962: text.string 963: end
This method fetches the width for top border of a cell.
# File lib/rtf/node.rb, line 884 884: def top_border_width 885: @borders[0] == nil ? 0 : @borders[0] 886: end
This method assigns a border width to the top side of a table cell. Negative values are ignored and a value of 0 switches the border off.
| width: | The new border width setting. |
# File lib/rtf/node.rb, line 813 813: def top_border_width=(width) 814: size = width == nil ? 0 : width 815: if size > 0 816: @borders[0] = size.to_i 817: else 818: @borders[0] = nil 819: end 820: end


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Gunmen kidnap Professor in Yola
by https://www.facebook.com/CheerfulpraiseOnimisi Alao, Yola
Gunmen have kidnapped a Professor in the Department of Urban and Regional Planning of Modibbo Adama University of Technology (MAUTECH), Yola.
Our correspondent gathered that Prof Felix Ilesanmi was abducted on Thursday night from his residence at the Staff Quarters of the university in Girei, headquarters of Girei Local Government Area of Adamawa State.
The professor is the chaplain of Trinity Chapel, a church located on the main campus of the university.
Read Also; Gunmen kill three policemen in Kaduna
The Police Public Relations Officer of the Adamawa State Police Command, DSP Suleiman Nguroje, confirmed the development, saying the Chief Security officer of the university reported it.
He said police officers had been assigned to rescue the professor and arrest the kidnappers.
Ilesanmi is the second professor of MAUTECH to fall into the hands of kidnappers in a little over one month.
Early last month, a professor of Soil Science in the university, Adamu Zata, was kidnapped.
It was the second time Zata was being kidnapped having been abducted in October 2018.


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{Next week|On Saturday}, person(1) is having a party{ and he(1)'s planning to play his(1) randRange(2,30) favorite songs. He(1) also|. He(1)} wants to get some hot dogs for the party. When he(1) goes to the store, he(1) finds that hot dogs come in packages of A and buns come in packages of B.
If person(1) wants to have the same number of hot dogs and buns, what is the minimum number of hot dogs he(1) will have to buy?
LCM
We know that hot dogs come in packages of A
. Write out the first few multiples
of A
to see the possible numbers of hot dogs person(1) can buy:
\qquad dogs:
M,
...
We know that buns come in packages of B
. Write out the first few multiples
of B
to see the possible numbers of buns person(1) can buy:
\qquad buns:
M,
...
Since person(1) wants to have the same number of hot dogs and buns, look for common multiples where it's possible to buy the same number of hot dogs and buns:
\qquad dogs:
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
\qquad buns:
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
The least common multiple is the minimum number of hot dogs person(1) will have to buy to get the same number of hot dogs and buns.
LCM
is the least common multiple of A
and B
.
To get the same number of each, the smallest amount of food person(1) can buy is LCM hot dogs and buns, or plural(LCM/A,"package") of hot dogs and plural(LCM/B,"package") of buns.
person(1) is organizing a {baseball|softball} league, and he(1) needs to purchase jerseys and visors for the players. Jerseys come in sets of A, and visors come in sets of B.
If person(1) wants to buy the same number of jerseys and visors, what is the minimum number of jerseys or visors he(1) will have to purchase?
LCM
We know that jerseys come in packages of A
. Write out the first few multiples
of A
to see the possible numbers of jerseys person(1) can buy:
\qquad jerseys:
M,
...
We know that visors come in packages of B
. Write out the first few multiples
of B
to see the possible numbers of visors person(1) can buy:
\qquad visors:
M,
...
Since person(1) wants to have the same number of jerseys and visors, look for common multiples where it's possible to buy the same number of jerseys and visors:
\qquad jerseys:
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
\qquad visors:
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
The least common multiple is the minimum number of jerseys person(1) will have to buy to get the same number of jerseys and visors.
LCM
is the least common multiple of A
and B
.
To get the same number of each, the smallest number person(1) can buy is LCM jerseys and visors, or plural( LCM / A, "set" ) of jerseys and plural( LCM / B, "set" ) of visors.
person(1) and person(2) are in different course(1) classes at school(1). person(1)'s teacher always gives plural( exam(1) ) with A questions on them while person(2)'s teacher gives more frequent plural( exam(1) ) with only B questions. person(2)'s teacher always gives plural( exam(1) ) with B questions on them while person(1)'s teacher gives more frequent plural( exam(1) ) with only A questions. {person(1) has randRange(15,40) other students in his(1) class. |person(2)'s teacher also assigns randRange(3,10) projects per year.}
Even though the two classes have to take a different number of plural( exam(1) ), their teachers have told them that both classes will get the same total number of exam(1) questions each year.
What is the minimum number of exam(1) questions person(1)'s or person(2)'s class can expect to get in a year?
LCM
We know that in person(1)'s class, all the plural( exam(1) ) have A
questions. Write
out the first few multiples of A
to see the possible numbers of questions
person(1) might have to answer over the whole year:
\qquad
M,
...
We know that in person(2)'s class, all the plural( exam(1) ) have B
questions. Write
out the first few multiples of B
to see the possible numbers of questions
person(2) might have to answer over the whole year:
\qquad
M,
...
Since person(1)'s and person(2)'s teachers have told them that both classes will have the same total number of exam(1) questions over the whole year, look for the common multiples to find the possible numbers of exam(1) questions they will have to answer.
\qquad
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
\qquad
\color{PINK}{M},
\color{BLUE}{M},
\color{GREEN}{M},
M,
...
The least common multiple is the minimum number questions person(1) and person(2) might have to answer over the year.
LCM
is the least common multiple of A
and B
.
If person(1)'s and person(2)'s classes get the same total number of questions, the minimum number of exam(1) questions they can expect to get in a year is LCM questions, or plural( LCM / A, exam(1) ) in person(1)'s class and plural( LCM / B, exam(1) ) in person(2)'s class.
At a track and field competition, there are A sprinters and B long-distance runners{ and randRange(5,100) fans|}. person(1) has to assign all of the athletes to teams. He(1) wants to make sure all of the teams have the same number of sprinters and the same number of long-distance runners.
What is the greatest number of teams person(1) can form?
GCD
Let's start by just thinking about the sprinters. We can think about all the ways to divide the A sprinters into equally sized teams by finding the factors of A.
The factors of A are toSentence( getFactors( A ) ) since those are all the numbers that divide evenly into A. That means we can divide the sprinters into equally sized teams in any of the following ways:
plural( F, "team" ) with plural( A / F, "sprinter" ) plural( "", "each", F )
Now lets think about the long-distance runners. We can also list all the ways to divide the B long-distance runners into equally sized teams by finding the factors of B.
The factors of B are toSentence( getFactors( B ) ) since those are all the numbers that divide evenly into B. That means we can divide the long-distance runners into equally sized teams in any of the following ways:
plural( F, "team" ) with plural( B / F, "long-distance runner" ) plural( "", "each", F )
Since each team will have sprinters and long-distance runners, compare the numbers of teams the sprinters can be divided into and the numbers of teams the runners can be divided into to find the common divisors:
The common divisors of A and B are toSentence( _.intersection( A_FACTORS, B_FACTORS ) ). In other words, with A sprinters and B long-distance runners, person(1) can make the following equal teams:
plural( F, "team" ) with plural( A / F, "sprinter" ) and
plural( B / F, "long-distance runner" )
We want to know the greatest number of equal teams person(1) can make, so from the common divisors above, we want the greatest common divisor.
The greatest number of teams that person(1) can form is GCD teams, with plural( A / GCD, "sprinter" ) and plural( B / GCD, "long-distance runner" ) per team.
At person(1)'s bakery, person(1) bakes one batch of A chocolate chip cookies and one batch of B oatmeal cookies each day. person(1) sells all his(1) cookies the same day in gift baskets.
{Because his(1) customers expect consistency|To keep the price the same}, person(1) wants to make sure each gift basket is identical.
What is the greatest number of gift baskets person(1) can sell each day?
GCD
Let's start by just thinking about the chocolate chip cookies. We can think about all the ways to equally divide the A chocolate chip cookies into gift baskets by finding the factors of A.
The factors of A are toSentence( getFactors( A ) ) since those are all the numbers that divide evenly into A. That means we can equally divide the chocolate chip cookies into gift baskets in any of the following ways:
plural( F, "basket" ) with plural( A / F, "chocolate chip cookie" ) plural( "", "each", F )
Now lets think about the oatmeal cookies. We can also list all the ways to equally divide the B oatmeal cookies into gift baskets by finding the factors of B.
The factors of B are toSentence( getFactors( B ) ) since those are all the numbers that divide evenly into B. That means we can equally divide the oatmeal cookies into gift baskets in any of the following ways:
plural( F, "basket" ) with plural( B / F, "oatmeal cookie" ) plural( "", "each", F )
Since each gift basket will have chocolate chip and oatmeal cookies, compare the ways of dividing the chocolate chip cookies and the ways of dividing the oatmeal cookies to find the common divisors:
The common divisors of A and B are toSentence( _.intersection( A_FACTORS, B_FACTORS ) ). In other words, with A chocolate chip and B oatmeal cookies, person(1) can make any of the following gift baskets:
plural( F, "basket" ) with plural( A / F, "chocolate chip cookie" ) and
plural( B / F, "oatmeal cookie" )
We want to know the greatest number of identical gift baskets person(1) can make, so from the common divisors above, we want the greatest common divisor.
The greatest number of gift baskets that person(1) can make each day is GCD baskets, with plural( A / GCD, "chocolate chip cookie" ) and plural( B / GCD, "oatmeal cookie" ) per basket.
person(1) just bought 1 package of plural( A, deskItem(1) ) and 1 package of plural( B, deskItem(2) ). He(1) wants to use all of the plural( deskItem(1) ) and plural( deskItem(2) ) to create identical sets of office supplies for his(1) {coworkers|friends|classmates}.
What is the greatest number of sets of office supplies person(1) can make?
GCD
Let's start by just thinking about the plural( deskItem(1) ). We can think about all the ways to equally divide the plural( A, deskItem(1) ) into sets by finding the factors of A.
The factors of A are toSentence( getFactors( A ) ) since those are all the numbers that divide evenly into A. That means we can equally divide the plural( deskItem(1) ) into sets in any of the following ways:
plural( F, "set" ) with plural( A / F, deskItem(1) ) plural( "", "each", F )
Now lets think about the plural( deskItem(2) ). We can also list all the ways to equally divide the plural( B, deskItem(2) ) into sets by finding the factors of B.
The factors of B are toSentence( getFactors( B ) ) since those are all the numbers that divide evenly into B. That means we can equally divide the plural( deskItem(2) ) into sets in any of the following ways:
plural( F, "set" ) with plural( B / F, deskItem(2) ) plural( "", "each", F )
Since each set will have plural( deskItem(1) ) and plural( deskItem(2) ), compare the ways of dividing the plural( deskItem(1) ) and the ways of dividing the plural( deskItem(2) ) to find the common divisors:
The common divisors of A and B are toSentence( _.intersection( A_FACTORS, B_FACTORS ) ). In other words, with plural( A, deskItem(1) ) and plural( B, deskItem(2) ), person(1) can make any of the following sets:
plural( F, "set" ) with plural( A / F, deskItem(1) ) and
plural( B / F, deskItem(2) )
We want to know the greatest number of identical sets person(1) can make, so from the common divisors above, we want the greatest common divisor.
The greatest number of sets of office supplies that person(1) can make is GCD sets, with plural( A / GCD, deskItem(1) ) and plural( B / GCD, deskItem(2) ) each.


R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
| Version: | 3.8.5 |
| Suggests: | testthat |
| Published: | 2018-06-11 |
| Author: | Andrew Clausen [aut], Serguei Sokol [aut, cre] |
| Maintainer: | Serguei Sokol <sokol at insa-toulouse.fr> |
| BugReports: | https://github.com/sgsokol/Deriv/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | Deriv citation info |
| Materials: | README NEWS |
| In views: | NumericalMathematics |
| CRAN checks: | Deriv results |
| Reference manual: | Deriv.pdf |
| Package source: | Deriv_3.8.5.tar.gz |
| Windows binaries: | r-devel: Deriv_3.8.5.zip, r-release: Deriv_3.8.5.zip, r-oldrel: Deriv_3.8.5.zip |
| OS X binaries: | r-release: Deriv_3.8.5.tgz, r-oldrel: Deriv_3.8.5.tgz |
| Old sources: | Deriv archive |
| Reverse depends: | ordinalCont |
| Reverse imports: | drugCombo, mirt, nCopula, RGCCA, Sim.DiffProc |
| Reverse suggests: | docopulae, interp, nlsr |
Please use the canonical form https://CRAN.R-project.org/package=Deriv to link to this page.


hrmcalcs module¶
-
hrmcalcs.
hrmaverage
(timebeat, peakvalues, start_min=1, end_min=3)¶ This function is used to calculate the average heart rate over a user-specified time range.
Parameters: timebeat – amount of time between consecutive heart beats. Calculated by taking the difference of consecutive data points in the peak values vector
Parameters: peakvalues – array containing time points at which voltage condition was met to detect a heart beat. All vals are in terms of time(s)
Parameters: - start_min – User inputs start minute of average HR calculation
- end_min – User inputs end minute of average HR calculation
Returns: This calculations returns the average heart rate
over the user-defined range of minutes.
-
hrmcalcs.
hrminstant
(timebeat)¶ This function is used to calculate the instantaneous heart rate at each heartbeat detected from the CSV file.
Parameters: timebeat – amount of time between consecutive heart beats. Calculated by taking the difference of consecutive data points in the peak values vector
Returns: This calculation returns the instantaneous heart rate at each time value.
-
hrmcalcs.
hrmtb
(instant_hr, b_thresh=60, t_thresh=100)¶ - This function is used to detect whether a patient has bradycardia
- or tachycardia
Parameters: - instant_hr – array of instantaneous heart rate values
- b_thresh – The threshold value for heart rate
indicating bradycardia (default 60)
Parameters: t_thresh – The threshold value for heart rate indicating tachycardia (default 100)
Returns: This function returns arrays titled tachy and brady. Both arrays are filled with 0s and 1s with a 1 representing the detection of tachycardia or bradycardia. Note: in order for either diagnosis to be recorded, the heart rate condition must be met for three consecutive heart beats.
-
hrmcalcs.
maincalcs
(file)¶ This function is run when the hrmcalcs.py file is run in the terminal. It takes in the peak values vector and makes the calculations needed to meet the code criteria specified in the assignment.
Returns: This function returns an array with the time values at which heartbeats were recorded, the instant HR at each time point, the average heart rate over a user-specified range of minutes, and arrays indicating when brady or tachycardia was recorded.


Superfly is a lightweight framework with the following features:
- Dependency Injection / Inversion of Control container supporting constructor and setter injection.
- Event support with JMS and CORBA implementations.
- A template based JDBC wrapper which provides simplified transaction support.
- A logging JDBC 4.1 driver.
- Memory and disk based caching.
- A object serialiser that supports encryption and can be used to serialise application or session state.
- An MVC framework for web applications that supports various different views.
- A large number of classes that ease the development of Swing based applications.
Developer documentation:


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