Indicates that it may be beneficial to evaluate the first argument in parallel with the second. Returns the value of the second argument.
a `par` b is exactly equivalent semantically to b.
par is generally used when the value of a is likely to be required later, but not immediately. Also it is a good idea to ensure that a is not a trivial computation, otherwise the cost of spawning it in parallel overshadows the benefits obtained by running it in parallel.
Note that actual parallelism is only supported by certain implementations (GHC with the -threaded option, and GPH, for now). On other implementations, par a b = b.
(parens p) parses "P", "(P0)", "((P0))", etc, p parses "P" in the current precedence context and parses "P0" in precedence context zero
A parser for versions in the format produced by showVersion.
The partition function takes a predicate a list and returns the pair of lists of elements which do and do not satisfy the predicate, respectively; i.e.,
> partition p xs == (filter p xs, filter (not . p) xs)
Partitions a list of Either into two lists All the Left elements are extracted, in order, to the first component of the output. Similarly the Right elements are extracted to the second component of the output.
Like evalBuffer but evaluates the list elements in parallel when pushing them into the buffer.
Wrap document in (...)
Lexeme parser parens p parses p enclosed in parenthesis, returning the value of p.
Contains the current window\'s parent. If the current window is a top-level window, Nothing is returned.
Evaluate each element of a list in parallel according to given strategy. Equivalent to parTraversable at the list type.
Divides a list into chunks, and applies the strategy evalList strat to each chunk in parallel.
It is expected that this function will be replaced by a more generic clustering infrastructure in the future.
If the chunk size is 1 or less, parListChunk is equivalent to parList
Like evalListN but evaluates the first n elements in parallel.
Like evalListN but evaluates the nth element in parallel.
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