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bst.opam

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opam-version: "2.0"
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name: "bst"
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synopsis: "Bisector tree implementation in OCaml"
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description: """
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A bisector tree allows to do fast but exact nearest neighbor searches
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in any space provided that you can measure the
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distance between any two points in that space.
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A bisector tree also allows fast neighbor searches (range queries/
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finding all points within a given tolerance from your query point).
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Cf. this article for details:
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'A Data Structure and an Algorithm for the Nearest Point Problem';
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Iraj Kalaranti and Gerard McDonald.
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ieeexplore.ieee.org/iel5/32/35936/01703102.pdf"""
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maintainer: "[email protected]"
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authors: "Francois Berenger"
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license: "BSD-3"
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authors: ["Francois Berenger"]
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homepage: "https://github.com/UnixJunkie/bisec-tree"
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bug-reports: "https://github.com/UnixJunkie/bisec-tree/issues"
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dev-repo: "git+https://github.com/UnixJunkie/bisec-tree.git"
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license: "BSD-3-Clause"
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build: ["dune" "build" "-p" name "-j" jobs]
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depends: [
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"ocaml"
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"batteries"
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"dune" {build}
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"dune"
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"base-unix" {with-test}
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"dolog" {with-test}
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"minicli" {with-test}
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]
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build: ["dune" "build" "-p" name "-j" jobs]
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synopsis: "Bisector tree implementation in OCaml"
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description: """
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A bisector tree allows to do fast but exact nearest neighbor searches
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in any space provided that you can measure the
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distance between any two points in that space.
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A bisector tree also allows fast neighbor searches (range queries/
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finding all points within a given tolerance from your query point).
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Cf. this article for details:
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'A Data Structure and an Algorithm for the Nearest Point Problem';
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Iraj Kalaranti and Gerard McDonald.
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ieeexplore.ieee.org/iel5/32/35936/01703102.pdf
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"""
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# url {
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# src: "https://github.com/UnixJunkie/bisec-tree/archive/v6.0.0.tar.gz"
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# checksum: "md5=e3bafda0a2b705c5cd24e0710dee9c37"

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