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I just printed multiple documents so I could scan it to someone’s email so she could use our telephone system to fax it. 🖨
When I think fondly of 90s tech this is *not* what I’ve got in mind.
5/16/2018, 10:59:32 AM
Favs: 5
Retweets: 0
link--- layout: tweet ---
I just printed multiple documents so I could scan it to someone’s email so she could use our telephone system to fax it. 🖨
When I think fondly of 90s tech this is *not* what I’ve got in mind.
5/16/2018, 10:59:32 AM
Favs: 5
Retweets: 0
link


# Async.js
Async is a utility module which provides straight-forward, powerful functions for working with asynchronous JavaScript. Although originally designed for use with [node.js](http://nodejs.org), it can also be used directly in the browser. Also supports [component](https://github.com/component/component).
Async provides around 20 functions that include the usual ‘functional’ suspects (map, reduce, filter, each…) as well as some common patterns for asynchronous control flow (parallel, series, waterfall…). All these functions assume you follow the node.js convention of providing a single callback as the last argument of your async function.
## Quick Examples
```javascript async.map([‘file1’,’file2’,’file3’], fs.stat, function(err, results){
// results is now an array of stats for each file
});
- async.filter([‘file1’,’file2’,’file3’], fs.exists, function(results){
- // results now equals an array of the existing files
});
- async.parallel([
- function(){ ... }, function(){ ... }
], callback);
- async.series([
- function(){ ... }, function(){ ... }
]);¶
There are many more functions available so take a look at the docs below for a full list. This module aims to be comprehensive, so if you feel anything is missing please create a GitHub issue for it.
## Common Pitfalls
### Binding a context to an iterator
This section is really about bind, not about async. If you are wondering how to make async execute your iterators in a given context, or are confused as to why a method of another library isn’t working as an iterator, study this example:
```js // Here is a simple object with an (unnecessarily roundabout) squaring method var AsyncSquaringLibrary = {
squareExponent: 2, square: function(number, callback){
var result = Math.pow(number, this.squareExponent); setTimeout(function(){
callback(null, result);}, 200);
}
};
- async.map([1, 2, 3], AsyncSquaringLibrary.square, function(err, result){
- // result is [NaN, NaN, NaN] // This fails because the this.squareExponent expression in the square // function is not evaluated in the context of AsyncSquaringLibrary, and is // therefore undefined.
});
- async.map([1, 2, 3], AsyncSquaringLibrary.square.bind(AsyncSquaringLibrary), function(err, result){
- // result is [1, 4, 9] // With the help of bind we can attach a context to the iterator before // passing it to async. Now the square function will be executed in its // ‘home’ AsyncSquaringLibrary context and the value of this.squareExponent // will be as expected.
});¶
## Download
The source is available for download from [GitHub](http://github.com/caolan/async). Alternatively, you can install using Node Package Manager (npm):
npm install async
__Development:__ [async.js](https://github.com/caolan/async/raw/master/lib/async.js) - 29.6kb Uncompressed
## In the Browser
So far it’s been tested in IE6, IE7, IE8, FF3.6 and Chrome 5. Usage:
```html <script type=”text/javascript” src=”async.js”></script> <script type=”text/javascript”>
- async.map(data, asyncProcess, function(err, results){
- alert(results);
});
## Documentation
### Collections
- [each](#each)
- [eachSeries](#eachSeries)
- [eachLimit](#eachLimit)
- [map](#map)
- [mapSeries](#mapSeries)
- [mapLimit](#mapLimit)
- [filter](#filter)
- [filterSeries](#filterSeries)
- [reject](#reject)
- [rejectSeries](#rejectSeries)
- [reduce](#reduce)
- [reduceRight](#reduceRight)
- [detect](#detect)
- [detectSeries](#detectSeries)
- [sortBy](#sortBy)
- [some](#some)
- [every](#every)
- [concat](#concat)
- [concatSeries](#concatSeries)
### Control Flow
- [series](#series)
- [parallel](#parallel)
- [parallelLimit](#parallellimittasks-limit-callback)
- [whilst](#whilst)
- [doWhilst](#doWhilst)
- [until](#until)
- [doUntil](#doUntil)
- [forever](#forever)
- [waterfall](#waterfall)
- [compose](#compose)
- [applyEach](#applyEach)
- [applyEachSeries](#applyEachSeries)
- [queue](#queue)
- [cargo](#cargo)
- [auto](#auto)
- [iterator](#iterator)
- [apply](#apply)
- [nextTick](#nextTick)
- [times](#times)
- [timesSeries](#timesSeries)
### Utils
- [memoize](#memoize)
- [unmemoize](#unmemoize)
- [log](#log)
- [dir](#dir)
- [noConflict](#noConflict)
## Collections
<a name=”forEach” /> <a name=”each” /> ### each(arr, iterator, callback)
Applies an iterator function to each item in an array, in parallel. The iterator is called with an item from the list and a callback for when it has finished. If the iterator passes an error to this callback, the main callback for the each function is immediately called with the error.
Note, that since this function applies the iterator to each item in parallel there is no guarantee that the iterator functions will complete in order.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err) which must be called once it has completed. If no error has occured, the callback should be run without arguments or with an explicit null argument.
- callback(err) - A callback which is called after all the iterator functions have finished, or an error has occurred.
__Example__
```js // assuming openFiles is an array of file names and saveFile is a function // to save the modified contents of that file:
- async.each(openFiles, saveFile, function(err){
- // if any of the saves produced an error, err would equal that error
});¶
  ### eachSeries(arr, iterator, callback)
The same as each only the iterator is applied to each item in the array in series. The next iterator is only called once the current one has completed processing. This means the iterator functions will complete in order.
  ### eachLimit(arr, limit, iterator, callback)
The same as each only no more than “limit” iterators will be simultaneously running at any time.
- Note that the items are not processed in batches, so there is no guarantee that
- the first “limit” iterator functions will complete before any others are
started.
__Arguments__
- arr - An array to iterate over.
- limit - The maximum number of iterators to run at any time.
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err) which must be called once it has completed. If no error has occured, the callback should be run without arguments or with an explicit null argument.
- callback(err) - A callback which is called after all the iterator functions have finished, or an error has occurred.
__Example__
```js // Assume documents is an array of JSON objects and requestApi is a // function that interacts with a rate-limited REST api.
- async.eachLimit(documents, 20, requestApi, function(err){
- // if any of the saves produced an error, err would equal that error
});¶
<a name=”map” /> ### map(arr, iterator, callback)
Produces a new array of values by mapping each value in the given array through the iterator function. The iterator is called with an item from the array and a callback for when it has finished processing. The callback takes 2 arguments, an error and the transformed item from the array. If the iterator passes an error to this callback, the main callback for the map function is immediately called with the error.
Note, that since this function applies the iterator to each item in parallel there is no guarantee that the iterator functions will complete in order, however the results array will be in the same order as the original array.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err, transformed) which must be called once it has completed with an error (which can be null) and a transformed item.
- callback(err, results) - A callback which is called after all the iterator functions have finished, or an error has occurred. Results is an array of the transformed items from the original array.
__Example__
```js async.map([‘file1’,’file2’,’file3’], fs.stat, function(err, results){
// results is now an array of stats for each file
});¶
 ### mapSeries(arr, iterator, callback)
The same as map only the iterator is applied to each item in the array in series. The next iterator is only called once the current one has completed processing. The results array will be in the same order as the original.
 ### mapLimit(arr, limit, iterator, callback)
The same as map only no more than “limit” iterators will be simultaneously running at any time.
- Note that the items are not processed in batches, so there is no guarantee that
- the first “limit” iterator functions will complete before any others are
started.
__Arguments__
- arr - An array to iterate over.
- limit - The maximum number of iterators to run at any time.
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err, transformed) which must be called once it has completed with an error (which can be null) and a transformed item.
- callback(err, results) - A callback which is called after all the iterator functions have finished, or an error has occurred. Results is an array of the transformed items from the original array.
__Example__
```js async.mapLimit([‘file1’,’file2’,’file3’], 1, fs.stat, function(err, results){
// results is now an array of stats for each file
});¶
<a name=”filter” /> ### filter(arr, iterator, callback)
__Alias:__ select
Returns a new array of all the values which pass an async truth test. _The callback for each iterator call only accepts a single argument of true or false, it does not accept an error argument first!_ This is in-line with the way node libraries work with truth tests like fs.exists. This operation is performed in parallel, but the results array will be in the same order as the original.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A truth test to apply to each item in the array. The iterator is passed a callback(truthValue) which must be called with a boolean argument once it has completed.
- callback(results) - A callback which is called after all the iterator functions have finished.
__Example__
```js async.filter([‘file1’,’file2’,’file3’], fs.exists, function(results){
// results now equals an array of the existing files
});¶
 ### filterSeries(arr, iterator, callback)
__alias:__ selectSeries
The same as filter only the iterator is applied to each item in the array in series. The next iterator is only called once the current one has completed processing. The results array will be in the same order as the original.
 ### reject(arr, iterator, callback)
The opposite of filter. Removes values that pass an async truth test.
 ### rejectSeries(arr, iterator, callback)
The same as reject, only the iterator is applied to each item in the array in series.
 ### reduce(arr, memo, iterator, callback)
__aliases:__ inject, foldl
Reduces a list of values into a single value using an async iterator to return each successive step. Memo is the initial state of the reduction. This function only operates in series. For performance reasons, it may make sense to split a call to this function into a parallel map, then use the normal Array.prototype.reduce on the results. This function is for situations where each step in the reduction needs to be async, if you can get the data before reducing it then it’s probably a good idea to do so.
__Arguments__
- arr - An array to iterate over.
- memo - The initial state of the reduction.
- iterator(memo, item, callback) - A function applied to each item in the array to produce the next step in the reduction. The iterator is passed a callback(err, reduction) which accepts an optional error as its first argument, and the state of the reduction as the second. If an error is passed to the callback, the reduction is stopped and the main callback is immediately called with the error.
- callback(err, result) - A callback which is called after all the iterator functions have finished. Result is the reduced value.
__Example__
```js async.reduce([1,2,3], 0, function(memo, item, callback){
// pointless async: process.nextTick(function(){
callback(null, memo + item)});
- }, function(err, result){
- // result is now equal to the last value of memo, which is 6
});¶
<a name=”reduceRight” /> ### reduceRight(arr, memo, iterator, callback)
__Alias:__ foldr
Same as reduce, only operates on the items in the array in reverse order.
<a name=”detect” /> ### detect(arr, iterator, callback)
Returns the first value in a list that passes an async truth test. The iterator is applied in parallel, meaning the first iterator to return true will fire the detect callback with that result. That means the result might not be the first item in the original array (in terms of order) that passes the test.
If order within the original array is important then look at detectSeries.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A truth test to apply to each item in the array. The iterator is passed a callback(truthValue) which must be called with a boolean argument once it has completed.
- callback(result) - A callback which is called as soon as any iterator returns true, or after all the iterator functions have finished. Result will be the first item in the array that passes the truth test (iterator) or the value undefined if none passed.
__Example__
```js async.detect([‘file1’,’file2’,’file3’], fs.exists, function(result){
// result now equals the first file in the list that exists
});¶
 ### detectSeries(arr, iterator, callback)
The same as detect, only the iterator is applied to each item in the array in series. This means the result is always the first in the original array (in terms of array order) that passes the truth test.
 ### sortBy(arr, iterator, callback)
Sorts a list by the results of running each value through an async iterator.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err, sortValue) which must be called once it has completed with an error (which can be null) and a value to use as the sort criteria.
- callback(err, results) - A callback which is called after all the iterator functions have finished, or an error has occurred. Results is the items from the original array sorted by the values returned by the iterator calls.
__Example__
```js async.sortBy([‘file1’,’file2’,’file3’], function(file, callback){
- fs.stat(file, function(err, stats){
- callback(err, stats.mtime);
});
- }, function(err, results){
- // results is now the original array of files sorted by // modified date
});¶
<a name=”some” /> ### some(arr, iterator, callback)
__Alias:__ any
Returns true if at least one element in the array satisfies an async test. _The callback for each iterator call only accepts a single argument of true or false, it does not accept an error argument first!_ This is in-line with the way node libraries work with truth tests like fs.exists. Once any iterator call returns true, the main callback is immediately called.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A truth test to apply to each item in the array. The iterator is passed a callback(truthValue) which must be called with a boolean argument once it has completed.
- callback(result) - A callback which is called as soon as any iterator returns true, or after all the iterator functions have finished. Result will be either true or false depending on the values of the async tests.
__Example__
```js async.some([‘file1’,’file2’,’file3’], fs.exists, function(result){
// if result is true then at least one of the files exists
});¶
 ### every(arr, iterator, callback)
__Alias:__ all
Returns true if every element in the array satisfies an async test. _The callback for each iterator call only accepts a single argument of true or false, it does not accept an error argument first!_ This is in-line with the way node libraries work with truth tests like fs.exists.
__Arguments__
- arr - An array to iterate over.
- iterator(item, callback) - A truth test to apply to each item in the array. The iterator is passed a callback(truthValue) which must be called with a boolean argument once it has completed.
- callback(result) - A callback which is called after all the iterator functions have finished. Result will be either true or false depending on the values of the async tests.
__Example__
```js async.every([‘file1’,’file2’,’file3’], fs.exists, function(result){
// if result is true then every file exists
});¶
<a name=”concat” /> ### concat(arr, iterator, callback)
Applies an iterator to each item in a list, concatenating the results. Returns the concatenated list. The iterators are called in parallel, and the results are concatenated as they return. There is no guarantee that the results array will be returned in the original order of the arguments passed to the iterator function.
__Arguments__
- arr - An array to iterate over
- iterator(item, callback) - A function to apply to each item in the array. The iterator is passed a callback(err, results) which must be called once it has completed with an error (which can be null) and an array of results.
- callback(err, results) - A callback which is called after all the iterator functions have finished, or an error has occurred. Results is an array containing the concatenated results of the iterator function.
__Example__
```js async.concat([‘dir1’,’dir2’,’dir3’], fs.readdir, function(err, files){
// files is now a list of filenames that exist in the 3 directories
});¶
 ### concatSeries(arr, iterator, callback)
Same as async.concat, but executes in series instead of parallel.
## Control Flow
 ### series(tasks, [callback])
Run an array of functions in series, each one running once the previous function has completed. If any functions in the series pass an error to its callback, no more functions are run and the callback for the series is immediately called with the value of the error. Once the tasks have completed, the results are passed to the final callback as an array.
It is also possible to use an object instead of an array. Each property will be run as a function and the results will be passed to the final callback as an object instead of an array. This can be a more readable way of handling results from async.series.
__Arguments__
- tasks - An array or object containing functions to run, each function is passed a callback(err, result) it must call on completion with an error (which can be null) and an optional result value.
- callback(err, results) - An optional callback to run once all the functions have completed. This function gets a results array (or object) containing all the result arguments passed to the task callbacks.
__Example__
- function(callback){
- // do some stuff ... callback(null, ‘one’);
}, function(callback){
// do some more stuff ... callback(null, ‘two’);}
], // optional callback function(err, results){
// results is now equal to [‘one’, ‘two’]
});
// an example using an object instead of an array async.series({
- one: function(callback){
- setTimeout(function(){
- callback(null, 1);
}, 200);
}, two: function(callback){
- setTimeout(function(){
- callback(null, 2);
}, 100);
}
}, function(err, results) {
// results is now equal to: {one: 1, two: 2}
});¶
 ### parallel(tasks, [callback])
Run an array of functions in parallel, without waiting until the previous function has completed. If any of the functions pass an error to its callback, the main callback is immediately called with the value of the error. Once the tasks have completed, the results are passed to the final callback as an array.
It is also possible to use an object instead of an array. Each property will be run as a function and the results will be passed to the final callback as an object instead of an array. This can be a more readable way of handling results from async.parallel.
__Arguments__
- tasks - An array or object containing functions to run, each function is passed a callback(err, result) it must call on completion with an error (which can be null) and an optional result value.
- callback(err, results) - An optional callback to run once all the functions have completed. This function gets a results array (or object) containing all the result arguments passed to the task callbacks.
__Example__
- function(callback){
- setTimeout(function(){
- callback(null, ‘one’);
}, 200);
}, function(callback){
- setTimeout(function(){
- callback(null, ‘two’);
}, 100);
}
], // optional callback function(err, results){
// the results array will equal [‘one’,’two’] even though // the second function had a shorter timeout.
});
// an example using an object instead of an array async.parallel({
- one: function(callback){
- setTimeout(function(){
- callback(null, 1);
}, 200);
}, two: function(callback){
- setTimeout(function(){
- callback(null, 2);
}, 100);
}
}, function(err, results) {
// results is now equals to: {one: 1, two: 2}
});¶
 ### parallelLimit(tasks, limit, [callback])
The same as parallel only the tasks are executed in parallel with a maximum of “limit” tasks executing at any time.
Note that the tasks are not executed in batches, so there is no guarantee that the first “limit” tasks will complete before any others are started.
__Arguments__
- tasks - An array or object containing functions to run, each function is passed a callback(err, result) it must call on completion with an error (which can be null) and an optional result value.
- limit - The maximum number of tasks to run at any time.
- callback(err, results) - An optional callback to run once all the functions have completed. This function gets a results array (or object) containing all the result arguments passed to the task callbacks.
 ### whilst(test, fn, callback)
Repeatedly call fn, while test returns true. Calls the callback when stopped, or an error occurs.
__Arguments__
- test() - synchronous truth test to perform before each execution of fn.
- fn(callback) - A function to call each time the test passes. The function is passed a callback(err) which must be called once it has completed with an optional error argument.
- callback(err) - A callback which is called after the test fails and repeated execution of fn has stopped.
__Example__
- async.whilst(
function () { return count < 5; }, function (callback) {
count++; setTimeout(callback, 1000);}, function (err) {
// 5 seconds have passed}
);¶
 ### doWhilst(fn, test, callback)
The post check version of whilst. To reflect the difference in the order of operations test and fn arguments are switched. doWhilst is to whilst as do while is to while in plain JavaScript.
 ### until(test, fn, callback)
Repeatedly call fn, until test returns true. Calls the callback when stopped, or an error occurs.
The inverse of async.whilst.
 ### doUntil(fn, test, callback)
Like doWhilst except the test is inverted. Note the argument ordering differs from until.
 ### forever(fn, callback)
Calls the asynchronous function ‘fn’ repeatedly, in series, indefinitely. If an error is passed to fn’s callback then ‘callback’ is called with the error, otherwise it will never be called.
 ### waterfall(tasks, [callback])
Runs an array of functions in series, each passing their results to the next in the array. However, if any of the functions pass an error to the callback, the next function is not executed and the main callback is immediately called with the error.
__Arguments__
- tasks - An array of functions to run, each function is passed a callback(err, result1, result2, ...) it must call on completion. The first argument is an error (which can be null) and any further arguments will be passed as arguments in order to the next task.
- callback(err, [results]) - An optional callback to run once all the functions have completed. This will be passed the results of the last task’s callback.
__Example__
- function(callback){
- callback(null, ‘one’, ‘two’);
}, function(arg1, arg2, callback){
callback(null, ‘three’);}, function(arg1, callback){
// arg1 now equals ‘three’ callback(null, ‘done’);}
- ], function (err, result) {
- // result now equals ‘done’
});¶
Creates a function which is a composition of the passed asynchronous functions. Each function consumes the return value of the function that follows. Composing functions f(), g() and h() would produce the result of f(g(h())), only this version uses callbacks to obtain the return values.
Each function is executed with the this binding of the composed function.
__Arguments__
- functions... - the asynchronous functions to compose
__Example__
```js function add1(n, callback) {
- setTimeout(function () {
- callback(null, n + 1);
}, 10);
}
- function mul3(n, callback) {
- setTimeout(function () {
- callback(null, n * 3);
}, 10);
}
var add1mul3 = async.compose(mul3, add1);
- add1mul3(4, function (err, result) {
- // result now equals 15
});¶
Applies the provided arguments to each function in the array, calling the callback after all functions have completed. If you only provide the first argument then it will return a function which lets you pass in the arguments as if it were a single function call.
__Arguments__
- fns - the asynchronous functions to all call with the same arguments
- args... - any number of separate arguments to pass to the function
- callback - the final argument should be the callback, called when all functions have completed processing
__Example__
```js async.applyEach([enableSearch, updateSchema], ‘bucket’, callback);
// partial application example: async.each(
buckets, async.applyEach([enableSearch, updateSchema]), callback
);¶
 ### applyEachSeries(arr, iterator, callback)
The same as applyEach only the functions are applied in series.
 ### queue(worker, concurrency)
Creates a queue object with the specified concurrency. Tasks added to the queue will be processed in parallel (up to the concurrency limit). If all workers are in progress, the task is queued until one is available. Once a worker has completed a task, the task’s callback is called.
__Arguments__
- worker(task, callback) - An asynchronous function for processing a queued task, which must call its callback(err) argument when finished, with an optional error as an argument.
- concurrency - An integer for determining how many worker functions should be run in parallel.
__Queue objects__
The queue object returned by this function has the following properties and methods:
- length() - a function returning the number of items waiting to be processed.
- concurrency - an integer for determining how many worker functions should be run in parallel. This property can be changed after a queue is created to alter the concurrency on-the-fly.
- push(task, [callback]) - add a new task to the queue, the callback is called once the worker has finished processing the task. instead of a single task, an array of tasks can be submitted. the respective callback is used for every task in the list.
- unshift(task, [callback]) - add a new task to the front of the queue.
- saturated - a callback that is called when the queue length hits the concurrency and further tasks will be queued
- empty - a callback that is called when the last item from the queue is given to a worker
- drain - a callback that is called when the last item from the queue has returned from the worker
__Example__
```js // create a queue object with concurrency 2
- var q = async.queue(function (task, callback) {
- console.log(‘hello ‘ + task.name); callback();
}, 2);
// assign a callback q.drain = function() {
console.log(‘all items have been processed’);
}
// add some items to the queue
- q.push({name: ‘foo’}, function (err) {
- console.log(‘finished processing foo’);
}); q.push({name: ‘bar’}, function (err) {
console.log(‘finished processing bar’);
});
// add some items to the queue (batch-wise)
- q.push([{name: ‘baz’},{name: ‘bay’},{name: ‘bax’}], function (err) {
- console.log(‘finished processing bar’);
});
// add some items to the front of the queue
- q.unshift({name: ‘bar’}, function (err) {
- console.log(‘finished processing bar’);
});¶
<a name=”cargo” /> ### cargo(worker, [payload])
Creates a cargo object with the specified payload. Tasks added to the cargo will be processed altogether (up to the payload limit). If the worker is in progress, the task is queued until it is available. Once the worker has completed some tasks, each callback of those tasks is called.
__Arguments__
- worker(tasks, callback) - An asynchronous function for processing an array of queued tasks, which must call its callback(err) argument when finished, with an optional error as an argument.
- payload - An optional integer for determining how many tasks should be processed per round; if omitted, the default is unlimited.
__Cargo objects__
The cargo object returned by this function has the following properties and methods:
- length() - a function returning the number of items waiting to be processed.
- payload - an integer for determining how many tasks should be process per round. This property can be changed after a cargo is created to alter the payload on-the-fly.
- push(task, [callback]) - add a new task to the queue, the callback is called once the worker has finished processing the task. instead of a single task, an array of tasks can be submitted. the respective callback is used for every task in the list.
- saturated - a callback that is called when the queue length hits the concurrency and further tasks will be queued
- empty - a callback that is called when the last item from the queue is given to a worker
- drain - a callback that is called when the last item from the queue has returned from the worker
__Example__
```js // create a cargo object with payload 2
- var cargo = async.cargo(function (tasks, callback) {
- for(var i=0; i<tasks.length; i++){
- console.log(‘hello ‘ + tasks[i].name);
} callback();
}, 2);
// add some items
- cargo.push({name: ‘foo’}, function (err) {
- console.log(‘finished processing foo’);
}); cargo.push({name: ‘bar’}, function (err) {
console.log(‘finished processing bar’);
}); cargo.push({name: ‘baz’}, function (err) {
console.log(‘finished processing baz’);
});¶
 ### auto(tasks, [callback])
Determines the best order for running functions based on their requirements. Each function can optionally depend on other functions being completed first, and each function is run as soon as its requirements are satisfied. If any of the functions pass an error to their callback, that function will not complete (so any other functions depending on it will not run) and the main callback will be called immediately with the error. Functions also receive an object containing the results of functions which have completed so far.
Note, all functions are called with a results object as a second argument, so it is unsafe to pass functions in the tasks object which cannot handle the extra argument. For example, this snippet of code:
readData: async.apply(fs.readFile, ‘data.txt’, ‘utf-8’)
will have the effect of calling readFile with the results object as the last argument, which will fail:
`js
fs.readFile('data.txt', 'utf-8', cb, {});
`
Instead, wrap the call to readFile in a function which does not forward the results object:
- readData: function(cb, results){
- fs.readFile(‘data.txt’, ‘utf-8’, cb);
}
__Arguments__
tasks - An object literal containing named functions or an array of requirements, with the function itself the last item in the array. The key used for each function or array is used when specifying requirements. The function receives two arguments: (1) a callback(err, result) which must be called when finished, passing an error (which can be null) and the result of the function’s execution, and (2) a results object, containing the results of the previously executed functions.
callback(err, results) - An optional callback which is called when all the tasks have been completed. The callback will receive an error as an argument if any tasks pass an error to their callback. Results will always be passed
but if an error occurred, no other tasks will be performed, and the results object will only contain partial results.
__Example__
- get_data: function(callback){
- // async code to get some data
}, make_folder: function(callback){
// async code to create a directory to store a file in // this is run at the same time as getting the data}, write_file: [‘get_data’, ‘make_folder’, function(callback){
// once there is some data and the directory exists, // write the data to a file in the directory callback(null, filename);}], email_link: [‘write_file’, function(callback, results){
// once the file is written let’s email a link to it... // results.write_file contains the filename returned by write_file.}]
});¶
This is a fairly trivial example, but to do this using the basic parallel and series functions would look like this:
- function(callback){
- // async code to get some data
}, function(callback){
// async code to create a directory to store a file in // this is run at the same time as getting the data}
], function(err, results){
- async.series([
- function(callback){
- // once there is some data and the directory exists, // write the data to a file in the directory
}, function(callback){
// once the file is written let’s email a link to it...}
]);
});¶
For a complicated series of async tasks using the auto function makes adding new tasks much easier and makes the code more readable.
 ### iterator(tasks)
Creates an iterator function which calls the next function in the array, returning a continuation to call the next one after that. It’s also possible to ‘peek’ the next iterator by doing iterator.next().
This function is used internally by the async module but can be useful when you want to manually control the flow of functions in series.
__Arguments__
- tasks - An array of functions to run.
__Example__
```js var iterator = async.iterator([
function(){ sys.p(‘one’); }, function(){ sys.p(‘two’); }, function(){ sys.p(‘three’); }
]);
node> var iterator2 = iterator(); ‘one’ node> var iterator3 = iterator2(); ‘two’ node> iterator3(); ‘three’ node> var nextfn = iterator2.next(); node> nextfn(); ‘three’ ```
 ### apply(function, arguments..)
Creates a continuation function with some arguments already applied, a useful shorthand when combined with other control flow functions. Any arguments passed to the returned function are added to the arguments originally passed to apply.
__Arguments__
- function - The function you want to eventually apply all arguments to.
- arguments... - Any number of arguments to automatically apply when the continuation is called.
__Example__
- async.parallel([
- async.apply(fs.writeFile, ‘testfile1’, ‘test1’), async.apply(fs.writeFile, ‘testfile2’, ‘test2’),
]);
// the same process without using apply
- async.parallel([
- function(callback){
- fs.writeFile(‘testfile1’, ‘test1’, callback);
}, function(callback){
fs.writeFile(‘testfile2’, ‘test2’, callback);}
]);¶
It’s possible to pass any number of additional arguments when calling the continuation:
`js
node> var fn = async.apply(sys.puts, 'one');
node> fn('two', 'three');
one
two
three
`
 ### nextTick(callback)
Calls the callback on a later loop around the event loop. In node.js this just calls process.nextTick, in the browser it falls back to setImmediate(callback) if available, otherwise setTimeout(callback, 0), which means other higher priority events may precede the execution of the callback.
This is used internally for browser-compatibility purposes.
__Arguments__
- callback - The function to call on a later loop around the event loop.
__Example__
```js var call_order = []; async.nextTick(function(){
call_order.push(‘two’); // call_order now equals [‘one’,’two’]
}); call_order.push(‘one’) ```
 ### times(n, callback)
Calls the callback n times and accumulates results in the same manner you would use with async.map.
__Arguments__
- n - The number of times to run the function.
- callback - The function to call n times.
__Example__
```js // Pretend this is some complicated async factory var createUser = function(id, callback) {
- callback(null, {
- id: ‘user’ + id
})
} // generate 5 users async.times(5, function(n, next){
- createUser(n, function(err, user) {
- next(err, user)
})
- }, function(err, users) {
- // we should now have 5 users
});¶
<a name=”timesSeries” /> ### timesSeries(n, callback)
The same as times only the iterator is applied to each item in the array in series. The next iterator is only called once the current one has completed processing. The results array will be in the same order as the original.
## Utils
<a name=”memoize” /> ### memoize(fn, [hasher])
Caches the results of an async function. When creating a hash to store function results against, the callback is omitted from the hash and an optional hash function can be used.
The cache of results is exposed as the memo property of the function returned by memoize.
__Arguments__
- fn - the function you to proxy and cache results from.
- hasher - an optional function for generating a custom hash for storing results, it has all the arguments applied to it apart from the callback, and must be synchronous.
__Example__
```js var slow_fn = function (name, callback) {
// do something callback(null, result);
}; var fn = async.memoize(slow_fn);
// fn can now be used as if it were slow_fn fn(‘some name’, function () {
// callback
});¶
 ### unmemoize(fn)
Undoes a memoized function, reverting it to the original, unmemoized form. Comes handy in tests.
__Arguments__
- fn - the memoized function
 ### log(function, arguments)
Logs the result of an async function to the console. Only works in node.js or in browsers that support console.log and console.error (such as FF and Chrome). If multiple arguments are returned from the async function, console.log is called on each argument in order.
__Arguments__
- function - The function you want to eventually apply all arguments to.
- arguments... - Any number of arguments to apply to the function.
__Example__
```js var hello = function(name, callback){
- setTimeout(function(){
- callback(null, ‘hello ‘ + name);
}, 1000);
};¶
`js
node> async.log(hello, 'world');
'hello world'
`
<a name=”dir” /> ### dir(function, arguments)
Logs the result of an async function to the console using console.dir to display the properties of the resulting object. Only works in node.js or in browsers that support console.dir and console.error (such as FF and Chrome). If multiple arguments are returned from the async function, console.dir is called on each argument in order.
__Arguments__
- function - The function you want to eventually apply all arguments to.
- arguments... - Any number of arguments to apply to the function.
__Example__
```js var hello = function(name, callback){
- setTimeout(function(){
- callback(null, {hello: name});
}, 1000);
};¶
`js
node> async.dir(hello, 'world');
{hello: 'world'}
`
 ### noConflict()
Changes the value of async back to its original value, returning a reference to the async object.


1.4:Enumerable#map
This week we'll be diving a little bit more into one of the methods in Ruby from the Enumerable module.I'm going to keep it fairly simple and hopefully you won't require a .map(first and last pun I promise). The method we'll be looking at is the map method (thus the terrible joke I made).So what does the map method do exactly?
The map method takes an enumerable object(an Array or a Range) and iterates through each element passing a block once. It then returns a NEW Array(this means it's a non-destructive method because it returns a new Array). Before looking at an example of how it works exactly we can also apply a destructive method(modify the original array) by adding the ! symbol after map eg:array.map!{|i| p i}
By doing this it doesn't return a new Array it affects the original and returns it. What is the difference between the each method and the map method?
The each method will take a block and iterate through the array and do something with the block, but it still returns the original array. The map method will take a block, iterate through the array and return a new array.Here's an example: y = [1,2,3].each {|x| x + 2}
will still return [1,2,3]
whereas
x=[1,2,3].map {|x| x+2}
will iterate through the array and pass the block returning a new array with as [2, 3, 4]. Another way of wording the map method is using the term collect. They both do the exact same thing. Hopefuly this wasn't too complicated to understand! See you next week!


Realm Pop
Realm Pop shows you population statistics on the players' characters in World of Warcraft.
Click a flag to view the stats for that region!
Project Details
- What - We currently record character names, races, classes, genders, levels, and guild memberships for all characters on every realm in the US and EU regions.
- How - To get the list of characters for a realm, first we record all the characters who posted to the auction house. Then we fetch and record their guild rosters. This should cover the majority of characters on a realm. To avoid getting listed, a character must never post to the auction house, and never belong to a guild where a guild member posts to the auction house.
- Who - It's important to remember that we're simply counting the number of characters seen for each category. This does not mean the number of players, nor the number of actively played characters. We can't efficiently get activity data yet, so some characters may not have been played for a long time.
- When - We constantly update players and guilds as they appear on the auction house. The goal is to find all characters, not necessarily to have up-to-date guild rosters. The reports that come from this data get updated about once a week.
- Where - We use the Battle.net API to get auction house, character, and guild information.
Other Sites
To get informed and amazed about your auction house, pick up
The Undermine Journal.
For gold or game time, keep an eye on
WoW Token Info.
Realm Pop uses names and images from World of Warcraft, and data proprietary to Blizzard Entertainment, Inc.
World of Warcraft, Warcraft and Blizzard Entertainment are trademarks or registered trademarks of Blizzard Entertainment, Inc. in the U.S. and/or other countries.


yourcalculator.org is a Website that publishes useful calculators for everyday use.
This Website was created in August 2015 by Claas Meiners.
If you want to contact me please do so via the Feedback Form or write an Email to claasmeiners@googlemail.com.


To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video


Mind body and index finger, give your fingers the serenity they deserve with this finger yoga kit.
Keep your beers safe when you head to your buddies house for happy hour. Just slap a pair of handcuffs to this beer…
Hear that? It’s me playing the world’s smallest violin… 😉 Just kidding. This 4 inch super-realistic miniature doesn’t make a sound.

No distractions. No headphone jack. No Wifi. NoPhone is the perfect phone for anyone who is addicted to their phone.
Ever been stranded on a desert island without beer? well these sandals would come in handy in your time of need.
Who doesn’t love a classic sweet cocktail.
If your cat spends any time out in the wild it’s time to level them up with this cat battle armor.

Relax with the neck hammock.


This Thing OR
That Thing
Question #2: Are you more of...
This Option
Question #3: Which do you prefer...
Option 1
Option 2
Question #4: Are you more...
Thing 1
Thing 2
Your result is:


One Garena
Meal type
Lunch
Dinner
Gender
Female
Male
Aged
To
Marital status
Single
Married
Nationality
Chinese
Singaporean
Malaysian
Korean
Thailand
Indonesian
Vietnamese
Department
Game Technical Operation
Labs
Shopee
SA
HR
Position
Developer
Operation
Data Analyst
Product Manager
Network Engineer
HR
How many people do you invite?
1 to 1
1 to more
Send


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/termstructures/volatility/optionlet/strippedoptionletbase.hpp>
Public Member Functions | |
| virtual const std::vector< Rate > & | optionletStrikes (Size i) const =0 |
| virtual const std::vector< Volatility > & | optionletVolatilities (Size i) const =0 |
| virtual const std::vector< Date > & | optionletFixingDates () const =0 |
| virtual const std::vector< Time > & | optionletFixingTimes () const =0 |
| virtual Size | optionletMaturities () const =0 |
| virtual const std::vector< Rate > & | atmOptionletRates () const =0 |
| virtual DayCounter | dayCounter () const =0 |
| virtual Calendar | calendar () const =0 |
| virtual Natural | settlementDays () const =0 |
| virtual BusinessDayConvention | businessDayConvention () const =0 |
| virtual VolatilityType | volatilityType () const =0 |
| virtual Real | displacement () const =0 |
| Public Member Functions inherited from LazyObject | |
| ~LazyObject () override=default | |
| void | update () override |
| void | forwardFirstNotificationOnly () |
| void | alwaysForwardNotifications () |
| void | recalculate () |
| void | freeze () |
| void | unfreeze () |
| Public Member Functions inherited from Observable | |
| Observable () | |
| Observable (const Observable &) | |
| Observable & | operator= (const Observable &) |
| virtual | ~Observable ()=default |
| void | notifyObservers () |
| Public Member Functions inherited from Observer | |
| Observer ()=default | |
| Observer (const Observer &) | |
| Observer & | operator= (const Observer &) |
| virtual | ~Observer () |
| std::pair< iterator, bool > | registerWith (const ext::shared_ptr< Observable > &) |
| void | registerWithObservables (const ext::shared_ptr< Observer > &) |
| Size | unregisterWith (const ext::shared_ptr< Observable > &) |
| void | unregisterWithAll () |
| virtual void | update ()=0 |
| virtual void | deepUpdate () |
Additional Inherited Members | |
| Public Types inherited from Observer | |
| typedef set_type::iterator | iterator |
| Protected Member Functions inherited from LazyObject | |
| virtual void | calculate () const |
| virtual void | performCalculations () const =0 |
| Protected Attributes inherited from LazyObject | |
| bool | calculated_ = false |
| bool | frozen_ = false |
| bool | alwaysForward_ = true |
Abstract base class interface for a (time indexed) vector of (strike indexed) optionlet (i.e. caplet/floorlet) volatilities.
Definition at line 45 of file strippedoptionletbase.hpp.
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.
|
pure virtual |
Implemented in OptionletStripper, and StrippedOptionlet.


GPL-Gurukula Premier League
Feculty Of Engineering and Technology |G.K.V Haridwar
Toggle navigation
GPL
Home
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Schedule
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Rules
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Team
1
Squad List
Reg. No.
Name
Branch
Batsman Type
Bowler Type
".$row['regid']."
'.$row['fullname']."
".$row['branch']."
".$row['batsman']."
".$row['bowler']>"
"; } mysql_close($connection); ?>


---
title: "Simple Way to Make Ultimate Chicken Rice Mexicana Tasty"
slug: chicken-rice-mexicana
description: "Chicken Rice Mexicana Recipe - Layers of rice, a creamy mixture of chicken and peppers and a Jack cheese topping make up the masterpiece that is Chicken Rice Mexicana! This is a fast and easy way to get the flavor of fajitas from your oven. It is especially good if you grill the chicken meat. Steps to Make Award-winning Chicken Rice Mexicana Tasty"
date: 2021-05-18T16:51:16Z
image: https://cdn.statically.io/img/images.media-allrecipes.com/userphotos/1923925.jpg
thumbnail: https://cdn.statically.io/img/images.media-allrecipes.com/userphotos/1923925.jpg
cover: https://cdn.statically.io/img/images.media-allrecipes.com/userphotos/1923925.jpg
author: Clara
ratingvalue: 4.6
reviewcount: 504
recipeingredient:
- "1 tablespoon vegetable oil"
- "1 onion, thinly sliced"
- "1 green bell pepper, thinly sliced"
- "1 red bell pepper, thinly sliced"
- "1 (10.75 ounce) can condensed cream of mushroom soup"
- "¼ cup milk"
- "2 cups cooked white rice, divided"
- "1 cup shredded Monterey Jack cheese"
- "6 (10 inch) heated flour tortillas for serving"
- "2 cups cooked, cubed chicken meat"
recipeinstructions:
- "Preheat oven to 375 degrees F (190 degrees C)."
- "Heat oil in a medium skillet over medium heat; saute onion, green bell pepper and red bell pepper until tender. Remove from heat and stir chicken into skillet, then add soup and milk and mix well."
- "Spread 1 cup rice in the bottom of a lightly greased 9x13 inch baking dish, then layer with chicken mixture, remaining 1 cup rice and top with cheese."
- "Bake at 375 degrees F (190 degrees C) for about 30 minutes, or until heated through and cheese is melted. Serve with heated flour tortillas, fajita style."
categories:
- "Meat and Poultry Recipes"
- "Chicken"
- "Chicken Breast Recipes"
- "Creamy"
- "Recipes"
tags:
- "meat and poultry recipes"
- "chicken"
- "chicken breast recipes"
- "creamy"
katakunci: chicken rice mexicana, meat and poultry recipes, chicken, chicken breast recipes, creamy, .
nutrition: 649.6 calories
recipecuisine: Western
preptime: "P0DT0H15M"
cooktime: "P0DT0H30M"
totaltime: "P0DT0H45M"
recipeyield: "4 to 6 servings"
recipecategory:
- Meat and Poultry Recipes
- Chicken
- Chicken Breast Recipes
- Creamy
quotes: If you do not eat well, then you wont be able to think well, love well, and sleep well.
---
Chicken Rice Mexicana - Hey everyone, I hope youre having an incredible day today. Its me again Clara , welcome to our recipe website. Today, we are going to make a special dish, Chicken Rice Mexicana. One of my favorites food recipes. For mine, Im gonna make it a little bit unique. This is gonna smell and look delicious.
Chicken Rice Mexicana is Layers of rice, a creamy mixture of chicken and peppers and a Jack cheese topping make up the masterpiece that is Chicken Rice Mexicana! This is a fast and easy way to get the flavor of fajitas from your oven. It is especially good if you grill the chicken meat.
Chicken Rice Mexicana is one of the most well liked of current trending meals on earth. It is simple, its fast, it tastes delicious. It is enjoyed by millions every day. its easy, its fast, it tastes delicious. Chicken Rice Mexicana is something that I ve loved my whole life. They are nice and they look wonderful. They are nice and they look fantastic. Chicken Rice Mexicana is something that I ve loved my whole life.
Simple Way to Prepare Speedy Chicken Rice Mexicana Delicious
To get started with this particular recipe, we have to first prepare a few ingredients. You can cook Chicken Rice Mexicana using 10 ingredients and 4 steps. Here is how you can achieve that.
The ingredients needed to make Chicken Rice Mexicana:
-
Get 1 tablespoon vegetable oil
-
Prepare 1 onion, thinly sliced
-
Make ready 1 green bell pepper, thinly sliced
-
Make ready 1 red bell pepper, thinly sliced
-
Make ready 1 (10.75 ounce) can condensed cream of mushroom soup
-
Take ¼ cup milk
-
Take 2 cups cooked white rice, divided
-
Make ready 1 cup shredded Monterey Jack cheese
-
Get 6 (10 inch) heated flour tortillas for serving
-
Make ready 2 cups cooked, cubed chicken meat
Instructions to make Chicken Rice Mexicana:
-
Preheat oven to 375 degrees F (190 degrees C).
-
Heat oil in a medium skillet over medium heat; saute onion, green bell pepper and red bell pepper until tender. Remove from heat and stir chicken into skillet, then add soup and milk and mix well.
-
Spread 1 cup rice in the bottom of a lightly greased 9x13 inch baking dish, then layer with chicken mixture, remaining 1 cup rice and top with cheese.
-
Bake at 375 degrees F (190 degrees C) for about 30 minutes, or until heated through and cheese is melted. Serve with heated flour tortillas, fajita style.
So that is going to wrap this up for this special food Chicken Rice Mexicana recipe. Thanks so much for reading. I am sure you can make this at home. There is gonna be more interesting food at home recipes coming up. Remember to bookmark this page in your browser, and share it to your loved ones, friends and colleague. Thanks again for reading. Go on get cooking!
Reviews of Chicken Rice Mexicana:
-
snugglepunkin - I liked this recipe, however I made a few alterations that really helped. First, I grilled strips of chicken breasts instead of cubed chicken using my George Foreman (took 5 min!) and then when layering it, I added spoonfuls of salsa over the rice. I also used cheddar instead of jack, and it worked very well. I ate mine with sour cream and extra salsa. This has a fajita casserole taste to it, which isn't my hubby's favorite thing but he liked it, especially in the times I have made it since, where I chop the peppers and onion up smaller so they're less noticeable. Even my toddler daughter eats it!
-
VALERILYNN - I changed the recipe a little because I read the reviews that said it need something else. I used 1 1/2 lbs. of chicken and 4 cups of rice. Two cups of rice didn't seem to be enough. I still used the same amount of milk and cream of mushroom soup. The thing that made the big difference was that I added a package of taco seasoning to my chicken before I added the soup and milk. I made it a second time and added a can of diced green chilies. Sprinkle some cheddar cheese on top of the monterey jack. Try it this way and you will love it. A good recipe to play with and change around. Thanks.
-
BANGER5 - This was a great recipe!!!!! I did make some major changes. First I used spanish rice from a box. Then I put chilies cuman and cilantro to the chicken mixture. My husband put sourcream on his. This was creamy and really good. I will make this again for sure.
-
Crankybug - I was the original poster of this recipe YEARS ago (before they even registered users) and I see that there is an ingredient that was omitted. It is supposed to have a package of taco seasoning added with the soup and milk. I saw at least one reviewer who suggested that change. :) I love all the ideas and suggestions from others, too. It's just what is great about AllRecipes.
-
Angie Kovacs - This is FANTASTIC! The only thing we did differently was to use pepperjack cheese instead of just regular jack (we like spice) and used more cheese than it called for.  One of my favorite finds ever!
-
Todzwif - Great quick dinner! I used a bagged frozen pepper/onion blend added some corn and used Cream of Chicken instead of mushroom. Also threw in a can of diced tomatoes with green chiles. When it was served I crumbled tortilla chips on top and added a dollup of sour cream. I think I'll try it in the crock pot next time and throw in the rice when I get home after work!
-
MMOH - This was good stuff. I did tweak it a bit though. I sauteed my chicken with the peppers and onions and then sprinkled it all with Taco Seasoning I (from this site). I also used pepper jack cheese and mixed the chicken mixture into the rice rather than layering it. I loved how simple this was to prepare and I'll definitely be making it again.
-
KENDAHLJ - I had some leftover rice and a green pepper I needed to use up so I picked this recipe. It was very easy to make and it tasted pretty good. I used green onions because my wife doesn't like regular onions.  I think it probably needs something else -- maybe corn or peas or some other veggies and definitely more spices. But overall it was quick easy and tasty.
-
Run2Eat - Tried it but used vegetables I had on hand peas carrots and corn. And didn't have white rice had brown rice. Came out good. Added salsa for extra kick. Will make this again.
-
KSUZY - This recipe was just okay. There was way too much rice in it which made it taste a little bland. After you cook the rice and the chicken mixture it's basically finished. You don't need to bake it in layers with the cheese on top IF you are going to put it in tortillas as the recipe suggests-- it just adds cooking time and not much else. You can instead mix some rice in with the chicken mixture (not as much as recipe suggests) put in tortillas and put shredded cheese on top.


When we talk about mining there are two mainstream ways to do it, GPU-mining and ASIC-mining. Not long ago after I attempted the former method to get into the mining world, I learnt a great stuff about this new superstar – FPGA (Field Programmable Gate Array).
While FGPA is not a new technology which in invented in the 1985, it was originally created for use in space, satellites and communication specialized equipment. A company called Zetheron started to customize the FPGA card for cryptocurrency mining purpose.
What is FPGA vs other mining hardware?
I had a great read of the company’s detailed article about the *FPGA Mining Overview and below are some summaries:
- In term of parallelism of every processing element, CPU < GPU < FPGA.
- Unlike CPU and GPU, FPGA can only be programmed at the lowest possible level which is the RTL(register transfer level) via language like Verilog and VHDL.
- Xilinx is the inventor of FPGA and still is the largest seller now.
- The amount of internal memory inside the FPGA is a very important metric for performance.
- Bitstream is the configuration file that specifically written for a FPGA with specific purpose.
- Non-volatile configuration is more robust against power outages which can be loaded every time miner is rebooted.
- The rapid reconfiguration function of FPGA has the ability to allow FPGA to completely reconfigure itself in a fraction of a second, making it unbeatable by competitor like the ASIC.
- FPGA can only mine one algorithm at a time generally.
Verdict
To me, the biggest advantage of FPGA is that it can use the equal or lesser power comsumption but produce 10~100 times the hashrate one GPU could generate, without the deady shortcoming of ASIC at all, which is the inability to mine different algorithm.
The disadvantage, however, is the price and its uncertainty of how this mining game would play out in the near future. A working FPGA card would easily cost 3k USD and I think that is quite steep for a casual miner like me to invest.
I’m certainly interested in this technology as it is a no-brainer winner comparing to the GPU in term of efficiency.
TLDR: FPGA is the new star in mining cryptocurrency. Low power consumption, much higher hashrate and flexibility in switching algorithm.
太长没读： FPGA 是目前的挖矿神器，低电力消耗（和 GPU 一样或少过），几倍甚至百倍的算力，还可以任意切换不同的币种（要是软件支持）。绝对是目前挖矿性价比最高的方式之一。
Did you get your free Byteball yet?
Posted from my blog with SteemPress : https://fr3eze.vornix.blog/can-fgpa-be-the-killer-of-gpu-asic-mining/
This page is synchronized from the post: ‘Can FGPA be the killer of GPU/ASIC mining?’


I'm a computer science student passionate about robotics, deep learning and technology that can save and improve lives.
Education
Brigham Young University
Dec 2019
Bachelor of Science in Computer Science
CGPA: 3.7 / 4.0
Expected Graduation Date: December 2019
Completed Significant Mech. Eng. Coursework Including: Mechatronics, System Dynamics, Elements of Electrical Engineering, Scientific Computing
Experience
AI Research Assistant
BYU Perception, Cognition and Control Lab
Worked in team of four to develop “Holodeck”, an open source robotics simulator for machine learning with over 10,000 lines of code (https://github.com/BYU-PCCL/Holodeck)
Optimized multi camera system in Holodeck increasing performance by 2X
Enabled headless rendering for running on dedicated GPU clusters
Autonomous Driving System Eng. Intern
Autoliv Japan
Worked on development and testing of HIL system for robustly testing automotive camera and radar sensors on petabytes of raw sensor data
Researched 3D computer vision methods and developed and got approved plan for using Lidar ground truth to save over $1 million per year in human labeling costs
Developed software to analyze object detection algorithm performance over thousands of kilometers of vehicle driving data
Robotics Research Assistant
BYU Robotics and Dynamics Laboratory
Researched and tested methods of high precision orientation tracking for estimating joint angles on inflatable robots
Developed software using Python and C++ for sensor communication in ROS
Projects
Holodeck, Robotics Simulator
Holodeck is a simulator based on the Unreal Engine that can be used for research, classes, or fun. It consists of agents (including humanoid robots and UAVs), environments (such as cities, forests, and deserts).


San Diego (b. 1994)
Email<EMAIL_ADDRESS>/<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Education:
Currently Enrolled in Bachelor of Visual Arts (Media/Cinema Emphasis) – University of California, San Diego - 2013
High School Diploma – Mt. Everest Academy, San Diego, CA - 2012
Work History:
Free Lance Videographer, 2012-Present
Devil Pups Inc. – Videographer/Editor, 2012-Present
Balestra Entertainment – Camera Man, 2013-Present
UC San Diego Price Center - Video Net Coordinator, 2013-Present
Skills:
Graphic Design
Filming
Editing
Story Boarding
Digital Effects (VFX’s)
Acting
Photography
Computers (Mac and PC)
Cameras – Canon T3i, Canon 60D, Canon 70D, Canon Mark III 5D, Black Magic Pocket Cinema Camera, Sony HXR-NX100, Sony SF 700, Go Pro Hero 2, and Go Pro Hero 4.
Software – Adobe Premier, Adobe Audition, Adobe After Effects, Davinchi Resolve, Adobe Photoshop, Adobe Indesign, Pro Tools, Final Cut Pro X.
Videos:
UC San Diego Price Center - Video Net Coordinator (Linked Videos):


WITNESS LIST S/C on Emerging Technologies & Economic Dev. Committee February 28, 2005 - 3:00P Emerging Technologies and Economic Development ON: Helms, Dr. Bob Dean (UT Dallas, College of Engineering), Dallas, TX Iscoe, Dr. Neil Director (UT Austin, Office of Technology Commercialization), Austin, TX Mendlesohn, Dr. John President (UT M.D. Anderson), Houston, TX Stone, Dr. Dennis Vice President (UT Southwestern, Technology Development), Dallas, TX SB 593 FOR: Kowalski, Tom (Texas Healthcare and Bioscience Institute), Austin, TX Venable, Sharon (Greater Dallas Chamber), Dallas, TX


2 additional NC health systems join Blue Cross partnership
CHARLOTTE, N.C. (AP) - Two additional North Carolina health care providers are joining five other state health systems and an insurer in a deal designed to help lower medical costs.
The Charlotte Observer reports national insurance company Blue Cross and Blue Shield will soon be working with seven of North Carolina’s largest health systems in a finance-sharing program called Blue Premier. Novant and Atrium health systems will join the deal Jan. 1. The others joined last year.
Mark Gwynne, president of the UNC Health Alliance, previously told the newspaper Blue Premier helps hospital systems compare prices and boost value. Under the deal, systems share cost savings or losses based on if they improve patient health outcomes. Blue Cross says it’s designed to incentivize providers to cut costs and hold them financially accountable for inefficiencies.
Information from: The Charlotte Observer, http://www.charlotteobserver.com
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about total management?
Total Management is a free, tableless, W3C-compliant web design layout by Template World. This template has been tested and proven compatible with all major browser enviornments and operating systems. You are free to modify the design to suit your tastes in any way you like.
We only ask you to not remove "Design by Template World" and the link http//www.templateworld.com from the footer of the template.
If you are interested in seeing more of our free web template designs feel free to visit our website, Template World. We intend to add at least 25 new free templates in the coming month.


"Today, nearly 30 million adults and children in the United States have been diagnosed with
asthma. Asthma sufferers can be severely affected by air pollution. Air pollution can also
aggravate health problems for the elderly and others with heart or respiratory diseases."
"It can irritate your throat and make breathing difficult. In fact, pollutants like tiny
airborne particles and ground level ozone can trigger respiratory problems, especially for people
with asthma. "
At "Unhealthy" AQI levels, everyone may begin to experience some adverse health effects, and
members of the sensitive groups may experience more serious effects.
Previous
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Dave's Epic Wager
For everyone in the office. The winner will receive a £5 book token valid at John Menzies
Invite a friend
Send your friends a link to this page and they'll be able to enter your wager!
http://oscarwager.net/wager-stub
Enter the wager
After entering your name you'll be asked to make your predictions for the winners in the 24 award categories.


Ask questions or make suggestions about marketing, business development, or anything else relevant. This is the channel to discuss topics with Komodo team.
82 messages
Before 05-Dec-19 12:00 AM
LooTz26-Nov-19 03:14 PM
Also instead of agama wallet just call it the komodo wallet
The more times the words komodo is seen and heard the more self marketable the product is
Google rule of 7
Oszy26-Nov-19 03:59 PM
Bagde sounds good, Agama is not a Komodo wallet anymore tho, it's a multi coin wallet for the Komodo ecosystem, nor we have the jurisdiction to change the name i think, maybe Verus team can initiate such name change but I doubt it would beneficial for them.
Komodo Ocean QT is a komodo wallet and it's name reflects that.
LooTz26-Nov-19 04:05 PM
cool you guys did it already, I never use the komodo ocean QT
what the Ocean word for ?
1
1
Why not keep it simple Komodo QT
anyway I thought of the badging for all coins to add to their site to use the dpow tech(edited)
thats really the more important thought here
"Komodo Secured"
and a mean looking komodo in the badge protecting the chain
1
1
2
ComputerGenie 👴👴👴26-Nov-19 04:09 PM
what the Ocean word for ? the guy that did the foundational porting of the qt code
LooTz26-Nov-19 04:17 PM
lol
thank you for clearing that up
I had no idea a guy named ocean was involved in the name(edited)
not very effective
most people will have no clue
as I had no idea
ComputerGenie 👴👴👴26-Nov-19 04:18 PM
when you're the 1st one to make it, you get to be the one to name it ♂
Oszy26-Nov-19 04:19 PM
Speaking of which, Pirate wallet isn't called Pirate wallet either
LooTz26-Nov-19 04:19 PM
I know trust me
be nice to uncomplicate things on all fronts for newbs
but it is what it is
ComputerGenie 👴👴👴26-Nov-19 04:20 PM
bitcoin-qt -> zcash-qt(never worked) -> KomodoOcean (released as "komodo-qt") -> PirateOcean (released as "pirate-qt")(edited)
LooTz26-Nov-19 04:24 PM
Simple, Pirate Wallet, Komodo Wallet(edited)
simultaneously using keywords for SEO
ComputerGenie 👴👴👴26-Nov-19 04:25 PM
PirateOcean will never bePirate Wallet because the guy that works on it knows that komodod -ac_name=PIRATE... is also aPirate Wallet
LooTz26-Nov-19 04:26 PM
I guess was just a thought,
ComputerGenie 👴👴👴26-Nov-19 04:27 PM
On whole, the name being tied to what it is causes more confusion than if it were named zjhndfkjzyseiurhnxdcy7v
#BarterDEX
#atomicDEX
#GUIandProtocolSameName
imo
You can always fork PirateOcean or KomodoOcean and make it your own PirateWallet or KomodoWallet
i mean what more do you want to achieve than being on the 1st place
same for pirate
it's all good now imo(edited)
ComputerGenie 👴👴👴26-Nov-19 04:32 PM
that one makes my soul hurt
LooTz26-Nov-19 04:32 PM
true that Oszy
didnt even realize
I need more coffee and thought for my ideas lol
you can top that article with a similar article with similar title added to komodos homepage blog
Top X Best Komodo Wallets for Komodo | KMD Wallet | 2020
the almost EMD name shouldhelp outrank any articles relative to komodo
Dam I drew a badge and cant post pictures
lol
just had fun over coffee
tty guys later
Offshore Crypto28-Nov-19 03:40 AM
Hello
I’m the host of grin talk. On youtube. I have interviewed quite a few people on financial privacy , most notably Charlie lee of litecoin as of a few weeks ago
I would love to interview someone of the Komodo team that would like to speak about Komodo and the need for financial privacy
PTYX28-Nov-19 04:34 AM
@Offshore Crypto do you charge for the interviews?
Offshore Crypto28-Nov-19 04:36 AM
Jason is available yes?
No . I accept donations though in Grin.
1
polycryptoblog28-Nov-19 05:40 AM
@PTYX I spoke with him already, I will be doing an interview on the 12th
3
CrisF28-Nov-19 10:13 AM
Hi, does anyone know where I can find a visualization of Komodo's Github commits, like this one (https://www.youtube.com/watch?v=PYprfBxki7k) but without the contributors names?
I saved one from you tube a while back, but not able to find it on y outube or locally.
Tom.T28-Nov-19 01:09 PM
Some of community members dm me that some scamers send a link of fake wallet upgrade for stealing money.(edited)
jl777c28-Nov-19 01:11 PM
people need to be very careful, especially with DM coming from stranger!
these scammers even make a fake github repo, with the evil wallet
Tom.T28-Nov-19 01:18 PM
We should make an announcement for reminding.
jl777c28-Nov-19 01:23 PM
ok
Oszy28-Nov-19 01:27 PM
make sure the repo is reported on github. if you can ask the people Tom
Tom.T28-Nov-19 01:59 PM
@Oszy Yes! Will do.
Berg30-Nov-19 05:25 PM
Hey everyone, I have a writer from Venezuela who has worked with HUSH to write some great pieces. Would Komodo be interested in having any spanish articles written or translated? @musicayfarandula would make a great ambassador for Venezuelan adoption
Audo01-Dec-19 07:38 AM
hey @Berg , can you ask him to fill out this form and drop us a message? https://forms.monday.com/forms/a88c2459f9a5b716db778415e11cc18f
That way we get his contact details and can reach out when we expand the ambassador program and translation support
игорь01-Dec-19 08:54 AM
Please tell us about the "Obsidian dragon"
What should I do and for whom is this update?
Stirzy02-Dec-19 05:42 AM
Hello,
Hello i have only recently found out about the Agama incident and wanted assistance recovering my KMD
polycryptoblog02-Dec-19 06:13 AM
@Stirzy#support
Regnar03-Dec-19 04:07 AM
Hey team, it might be a cool idea marketing wise and also to showcase what can be done with Antara, to build an Antara smartchain to put these tweets on a blockchain. We could throw an explorer up that lets people view their deceased friend's and family's twitters and give it over to the Internet Wayback Machine. Make the nodes public so others can contribute to maintaining it, and make the blocks mined on demand (when new people are added)
https://twitter.com/internetarchive/status/1201707491387510784?s=20
After Twitter’s failed declaration that inactive accounts would be permanently deleted, the @internetarchive is making it possible for people to archive deceased loved one’s accounts https://t.co/Ge3OPsKQKQ


A collection of demos to get started with on Saturday
A basic (and useless) demo that displays the server
Realtime data about the national rail network
Geotagged tweets from around the Oxford area
Send and receive messages in pure 90's style.
User stream for @JSOxford
See each other with PeerJS and WebRTC.
See GitHub events from the JSOxford organisation
See the temperature and humidity at #RTHack


| How do I request a new grouping? |
A request form is available here.
|
| Exactly what is a grouping? |
General information about groupings can be found here. A grouping's
components include the Basis, Include, and Exclude lists.
|
| What is the Basis? |
A grouping's Basis is the portion of the grouping membership that is
automatically updated. It may be empty.
|
| What is the Include members list? |
A grouping's Include is the portion of the grouping membership that is
manually updated. It may be empty.
|
| What is the Exclude members list? |
A grouping's Exclude overrides automatic and manual membership by
explicitly not including anyone listed here. It may be empty.
|
| For general help/how-to questions: |
Send email<EMAIL_ADDRESS>|


Earth Energy Budget
This module is a diagram of the Earth's energy budget. Shortwave radiation comes in from the Sun,
some of which is reflected back into space. The absorbed shortwave radiation warms the Earth which in turn radiates infrared
(longwave)radiation back into space. When more energy is absorbed than is radiated out the temperature of the Earth rises.
This module can be used in conjunction with showing the 'reflected shortwave' and 'outgoing longwave' WMS layers.
Parameters
There are several variables to control the appearance and behaviour of this dataset.
- EarthEnergyBudgetShortColor: controls the color of the shortwave radiation
- EarthEnergyBudgetLongColor: controls the color of the longwave radiation
- EarthEnergyBudgetAlbedo: controls the fraction of reflected shortwave radiation
- EarthEnergyBudgetRadius: controls the width of the radiation arrows
- EarthEnergyBudgetAnimationPeriod: controls how fast the animation plays
- EarthEnergyBudgetRadius: controls the width of the radiation arrows
- EarthEnergyBudgetOvershoot: controls how large the incoming cylinder of radiation is (e.g. a value of .1 means that the cylinder has a radius 10 percent larger than the Earth.)
- EarthEnergyBudgetRadStart: controls where the radiation first appears (in EARTHRADIUS units)
- EarthEnergyBudgetRadEnd: controls how far the radiation goes (in EARTHRADIUS units)
- EarthEnergyBudgetShortLength: controls the length of the shortwave radiation arrows (in EARTHRADIUS units)
- EarthEnergyBudgetLongLength: controls the length of the longwave radiation arrows (in EARTHRADIUS units)
The module will appear as "Earth Energy Budget" in the object tree, under Planets/Earth.
Version
1.0
Created
20 April, 2016
Created By
Mark SubbaRao
Adler Planetarium
CC-by


Overview
LCU14, its a wrap. Now that I'm back, the week seems to be a complete blur. The
week started on Sunday with the management team looking at a few challenges
facing Linaro. Topics discussed include growth, scaling, silos, member
engagement and our roadmap process. Though there will likely be only a few
quick changes, the feedback from these sessions will be a topic of ongoing
discussions and changes for the Linaro executives.
Useful Links
Linaro Engineering Calendar
- Toolchain Release 2nd Thursday of each Month
- Linaro Release Last Thursday of each Month
- OPSCOM Cards Last Friday of each Month
- LAVA Release 1st Thursday of each Month
Reports
It's that time again
Every few months, the team at Linaro comes together to hold formal and informal
meetings. These events are often on un-familiar ground, allowing the teams to
hold discussions nearly around the clock. The discussions are non-stop,
starting early in the morning and carrying on throughout the day. At the end
of the day, teams may get together and continue earlier discussions or talk
about other hobbies, and end up returning to our hotel rooms to draft up daily
summaries late into the night only to start the whole thing over for 5-6 days
in a row. All in all, the event is exhausting.
Find out more at: http://www.linaro.org/connect/lcu/lcu14/remote/
The LAVA, Toolchain and LSK teams have a full schedule
LCU14-201: Binary Analysis Tools
This session will be a presentation about currently available binary analysis
tools, including: Sanitizers, perf (a performance counter and tracing profiling
tool), record/replay (a reverse debugging facility in GDB) and prelink rootfs.


API documentation¶
Knead¶
-
class
dataknead.
Knead
(inp, parse_as=None, read_as=None, is_data=False, **kwargs)[source]¶ -
__init__
(inp, parse_as=None, read_as=None, is_data=False, **kwargs)[source]¶ Creates a new
Knead
instance.By default it is assumed that
inp
is a path to a file if it’s a string. The file extension will be used to determine the correct loader (e.g..csv
will get theCsvLoader
).Knead("cities.csv")
If
inp
is not a string it is assumed to be a data structure (e.g. a list or dict).Knead([1, 2, 3])
parse_as
is used when you’re feedingKnead
a string that is not a file path, like the results of a HTTP call. In that case you need to specify the loader yourself as a file extension (e.g.csv
,json
, etc.)json = "[1,2,3]" Knead(json, parse_as = "json")
read_as
is used when you’re giving a path to a file that doesn’t have a valid extension, and doesn’t have an extension at all. The same mechanism asparse_as
is at work here: give it a file extension.Knead("query", read_as = "csv")
is_data
is used if you want to feedKnead
a string as data, and it shouldn’t be parsed at allKnead("a line of text", is_data = True)
Any additional parameters will be passed on to the loader
Knead("cities.csv", has_header = True)
-
add_loader
(loader)[source]¶ Adds a custom loader. See extending dataknead.
-
data
(check_instance=None)[source]¶ Returns the loaded data.
Knead("cities.csv").data() # Will return the parsed contents of cities.csv
To check if the data is in a specific type use
check_instance
, which will raise an exception if it’s not correctKnead([1,2,3]).data(check_instance = dict) # Will raise an error, it's a list
-
filter
(fn)[source]¶ Applies a function on every item and removes it if it returns
False
. This only works when your data is alist
.Knead([1,10,100]).filter(lambda v: v > 9).data() # Returns 10 and 100
-
loader
¶ alias of
dataknead.loaders.xml.XmlLoader
-
map
(iteratee)[source]¶ Applies a function on every item and replaces it with the return value.
Knead([1, 4, 9]).map(lambda x:x * x).data() # [1, 16, 81]
If you have a list with dicts, you can give a string to return the values of a specific key
Knead("cities.csv").map("city").write("city-names.csv") # Is the same as Knead("cities.csv").map(lambda c:c["city"]).write("city-names.csv")
To return multiple keys with values, you can use a tuple:
Knead("cities.csv").map(("city", "country")).write("city-country-names.csv") # Is the same as Knead("cities.csv").map(lambda c:{ "city" : c["city"], "country" : c["country"] }).write("city-country-names.csv") # Or def mapcity(city): return { "city" : city["city"], "country" : city["country"] } Knead("cities.csv").map(mapcity).write("city-country-names.csv")
-
write
(path, write_as=None, **kwargs)[source]¶ Writes the data to a file. Type is implied by file extension.
Knead("cities.csv").write("cities.json")
To force the type to something else, pass the format to write_as.
Knead("cities.csv").map("city").write("cities.txt", write_as="csv")
Any additional parameters will be passed on to the loader:
Knead("cities.csv").write("cities.json", indent = 4) Knead("cities.csv").map("city").write("ciites.csv", fieldnames=["city"])
-
Loaders¶
These loaders are available by default. Note that you never need to access these directly, they are merely documented here for reference purposes and as an example if you want to write your own loader.


Here's your table's order, please select your dishes.
Appetizers
Green Salad
Cream of Mushroom Soup
Main Dishes
Pan-Seared Salmon with Kale and Apple Salad
Greek Meat and Chick Pea
Dessert
Frozen Caramel-Apple Crunch Cake
Red Velvet Brownies with Cream Cheese Frosting
Done


We wanted you to be the first to know that we have two Jam Sessions rooms in our studio. As a thank you for being the badasses that you are, we are offering a special package deal!
We here at Ifwhat production Studio feel honored and blessed to have such a great life doing what we love the most which is producing music. Its such a wonderful experience and an honor when someone comes to us and asks us to help fulfill their dream.
We help you better communicate, tell your story, refine your image and ultimately increase your exposure. Make yourself seen in this media ocean. Your shine is our craft!
Our approach is to meet you where you’re at professionally and provide you with the help and resources you need in the best possible environment for your creative process.
We use high quality microphones in rooms that are acoustically treated to provide a quiet, echo-free space for recording. has a high-definition vision document camera for doing hands-on demonstrations. We also provide editing stations and training on other applications useful in the media production process.
Our Studio is located at Bandar Seri Begawan
For collaborations, partnerships and events –<EMAIL_ADDRESS>For jamming, recording and rentals –<EMAIL_ADDRESS>For general enquiries –<EMAIL_ADDRESS>If you have any questions, call us at +6737139412


Across: 1. Travelling ruled wants? (10) 9. Savagely slain: grand finale for Christmas or Easter perhaps (6) 11. A way to go around and see where fliers distributed (6 5) 12,13. Attraction for 30, mysterious sorcerer to all (6 7) 15. Hey, man, there's no heart in this music (4) 16. What we got is tsars, partly as they promote themselves a lot (8) 17.  Ape told off less developed animal (7) 22. Right in on the subject, not near the polar extremes (8) 23. Extremes thrive on bad news ultimately (4) 25. Circular poetry gets you in the end, but this can be taxing (7) 26. Fools swept off with first of rains (6) 28. Smashed one's pans out without a plan (11) 29. Cryptic clue in hearts (6) 30. The inscriptions hold record of amusing places (5 5) Down: 2. Volkswagen cynically took in bureau (6) 3. City having bad run sadly (6) 4. Let trees be chopped up to make new homes (8) 5. He'd sure broken and herded (7) 6. Last of suit - one queen in the deck (4) 7. Volumes of fluid boost plane's movement (11) 8. There are postings to such horribly sadder spots (10) 10. Groovy, Dot, let's dance! (7) 14. Extreme authority of motion Pence moved (11) 15. Uncertain get this in a mess (10) 18. Age loses head and acquires hobbles - not a great look! (7) 20. Push away from a position near North, toward East (8) 21. Move theatrically on twentieth pint (two 7)? (7) 23. Feud area okay once edges clipped in breakthrough sort of moment (6) 24. Prove inaccuracy of Ben duck, running out century (6) 27. Reverse ends of cooker (4)


Why do we collect this information?
The Civil Service is committed to promoting diversity, irrespective of ethnicity or nationality, gender, transgender, sexuality, disability, age, religion, marital status, working patterns and socio-economic status.
We collect diversity and socio economic information for monitoring purposes only and this data is treated separately from the application process. Your answers in this section don't affect your results in any way and are treated in strict confidence.


A custom dictionary is a file into which you save words that are not in the standard spell checker dictionary. For instance if you find your are using a number of medical terms that are not in the standard dictionary, you can add them to this file. It is possible to have a number of custom dictionaries in use at any one time.


count(s)
Return the number of elements in the sequence s
. Raise an error if s
is not a valid sequence or if s
is an infinite sequence.
Count
is a generic function recognized by the language. A user-defined object can respond to the
'count
message and start behaving like a sequence. (See the documentation on
first
for an example).
count([\a, \e, \i, \o, \u])
// 5


PHP is not warning if a 'compact()' was called referencing non-existent variable. A typo or refactoring might cost long debugging in this case.


I got the satellite blues


You want a website that reflects your taste, your style, your business. I can create that for you.
You want a website that reflects your taste, your style, your business. I can create that for you.
I wanted to learn to code for a long time. I was curious to know what happened on the other side of my screen. I tried games, videos, and online tutorials. But I couldn't find a handhold. The problem of learning how to code felt BIG.
I signed up to receive Skillcrush emails years ago. And every month I would consider them and then delete them. But I never unsubscribed. Sometimes I would look up a Skillcrush video of Adda on UTube. But the idea remained in my back pocket.
Until the day when I made a leap. I watched one of the live video chats and signed up the next day. I bought a pretty, new computer. And I began this journey. Skillcrush made learning how to code feel my-size and sooo much fun.


Press F12 to see browser console
Problem 4. Number of elements
Write a function to count the number of div elements on the web page
DIV 1
DIV 2
DIV 3


{% extends "trax_base.html" %} {% load i18n %} {% block title %}Hi {% if not request.user.is_authenticated %}there{% else %}{{ request.user }}{% endif %}!{% endblock %} {% block content %}
Welcome to gtaracing.net!
Browse through the tracks, marvel at the hottest laps of the users who have signed up here. But if you want more, register or login! (there's a clicky-thing on top of this page)
{% else %}This little website aims to be a resource for all kinds of racing activities in GTA online. At the moment, there is a list of great tracks with the possibility to enter your fastest laps. Registered users can also create new tracks.
There's also a list of all land vehicles where you can see how other racers performed on various tracks.
Furthermore, there is a Random Grid Generator available, so if you host an event with multiple races, you can make sure that every participant has a fair chance with their positions on the starting grid.
NEW! You can host Staggered Start Races! Open the page of any track and click the button "Host a staggered start race". Your drivers can choose any car they like, and I'll try to find out when everyone can start, so everyone has an equal chance for winning a race. It is based on either Broughy1322's laps around Cutting Coroners GP ("Standard Only"), or your own laps that you entered here before ("Photo Finish") or a mixture of both ("Slow Assist"), meaning that drivers who are faster than Broughy on CCGP still use the standard Broughy-time and are not "punished" for being quick, whereas slower drivers may start a bit earlier to make them be able to still participate competitively.
| {% trans "Track" %} | {% trans "Driver" %} | {% trans "Vehicle" %} | {% trans "Time" %} | {% for lap in toplaps %}
|---|---|---|---|
| {% if lap.link %} {% endif %} {{ lap.track }} | {{ lap.player }} | {{ lap.vehicle }} | {{ lap.duration }} |
| {% trans "Title" %} | {% trans "Author" %} | {% trans "Players" %} | {% trans "length km" %} | {% for track in tracks %}|
|---|---|---|---|---|
| {{ track.get_platform_display }} | {{ track.title }} {% if track.video %} {% endif %} {% if track.image %} {% endif %} | {{ track.author }} | {{ track.num_players }} | {{ track.route_length }} |