Formatting

Author: adambom

README.md

@@ -42,6 +42,8 @@ var p = new Parallel([1, 2, 3, 4, 5]);
 console.log(p.data); // prints [1, 2, 3, 4, 5]
 ```
 
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 #### `spawn(fn)`
 This function will spawn a new process on a worker thread. Pass it the function you want to call. Your
 function will receive one argument, which is the current data. The value returned from your spawned function will
@@ -66,6 +68,8 @@ p.spawn(function (data) {
 });
 ```
 
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 #### `map(fn)`
 Map will apply the supplied function to every element in the wrapped data. Parallel will spawn one worker for
 each array element in the data, or the supplied maxWorkers argument. The values returned will be stored for 
@@ -91,6 +95,8 @@ p.map(fib).then(log)
 // Logs the first 7 Fibonnaci numbers, woot!
 ```
 
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 #### `reduce(fn)`
 Reduce applies an operation to every member of the wrapped data, and returns a scalar value produced by the operation.
 Use it for combining the results of a map operation, by summing numbers for example. This takes a reducing function,
@@ -113,6 +119,8 @@ p.require(factorial)
 p.map(function (n) { return Math.pow(10, n); }).reduce(add).then(log);
 ```
 
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 #### `then(success, fail)`
 The functions given to `then` are called after the last requested operation has finished.
 `success` receives the resulting data object, while `fail` will receive an error object.
@@ -135,6 +143,8 @@ p.map(dbl).map(dbl).map(dbl).then(function (data) {
 p.map(function (n) { return Math.pow(10, n); }).reduce(add).then(log);
 ```
 
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 #### `require(state)`
 If you have state that you want to share between your main thread and the worker threads, this is how. Require
 takes either a string or a function. A string should point to a file name.