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Merge pull request #18215 from UnixJunkie/parany_1202
new file: packages/parany/parany.12.0.2/opam
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packages/parany/parany.12.0.2/opam
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packages/parany/parany.12.0.2/opam
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opam-version: "2.0"
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maintainer: "unixjunkie@sdf.org"
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authors: "Francois Berenger"
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license: "LGPL-2.0-or-later"
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homepage: "https://github.com/UnixJunkie/parany"
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bug-reports: "https://github.com/UnixJunkie/parany/issues"
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dev-repo: "git+https://github.com/UnixJunkie/parany.git"
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depends: [
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"base-unix"
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"cpu"
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"dune" {>= "1.6.0"}
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"ocaml" {>= "4.03.0"}
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]
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build: [
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["dune" "build" "-p" name "-j" jobs]
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["dune" "build" "-p" name "-j" jobs "src/test.exe"] {with-test}
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["./test.sh"] {with-test}
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]
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synopsis: "Parallelize any computation"
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description: """
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Generalized map reduce for parallel computers (not distributed computing).
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Can process in parallel an infinite stream of elements.
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Can process a very large file in parallel on a multicore computer;
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provided there is a way to cut your file into independent blocks
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(the 'demux' function).
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The processing function is called 'work'.
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The function gathering the results is called 'mux'.
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The number of processors running your computation in parallel is called
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'nprocs'.
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The chunk size (number of items) processed by one call to the 'work' function
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is called 'csize'.
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There is a minimalist Parmap module, if you want to switch
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to/from Parmap easily.
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Read the corresponding ocamldoc before using.
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USING THIS LIBRARY IN A MISSION CRITICAL, LONG-RUNNING SOFTWARE
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THAT IS NEVER SUPPOSED TO CRASH IS NOT ADVIZED.
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WHILE THIS LIBRARY IS HIGH PERFORMANCE, IT IS ALSO DANGEROUS.
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USE AT YOUR OWN RISKS.
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"""
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url {
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src: "https://github.com/UnixJunkie/parany/archive/v12.0.2.tar.gz"
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checksum: "md5=152ce95487d98b8546757c6e31a455aa"
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}