Source: haskell-bytestring-trie Priority: optional Section: misc Maintainer: Clifford Beshers Build-Depends: debhelper (>= 7.0), haskell-devscripts (>= 0.6.15+nmu7), hscolour, cdbs, ghc (>= 6.8), ghc-prof, libghc-binary-prof Build-Depends-Indep: ghc-doc, haddock, libghc-binary-doc Standards-Version: 3.8.1 Homepage: http://code.haskell.org/~wren/ Package: libghc-bytestring-trie-dev Architecture: any Section: haskell Depends: ${haskell:Depends}, ${misc:Depends} Description: An efficient finite map from (byte)strings to values. An efficient finite map from (byte)strings to values. . The implementation is based on big-endian patricia trees, like "Data.IntMap". We first trie on the elements of "Data.ByteString" and then trie on the big-endian bit representation of those elements. Patricia trees have efficient algorithms for union and other merging operations, but they're also quick for lookups and insertions. . Author: wren ng thornton Upstream-Maintainer: wren@community.haskell.org . This package contains the normal library files. Package: libghc-bytestring-trie-prof Architecture: any Section: haskell Depends: ${haskell:Depends}, ${misc:Depends}, libghc-bytestring-trie-dev Description: An efficient finite map from (byte)strings to values. An efficient finite map from (byte)strings to values. . The implementation is based on big-endian patricia trees, like "Data.IntMap". We first trie on the elements of "Data.ByteString" and then trie on the big-endian bit representation of those elements. Patricia trees have efficient algorithms for union and other merging operations, but they're also quick for lookups and insertions. . Author: wren ng thornton Upstream-Maintainer: wren@community.haskell.org . This package contains the libraries compiled with profiling enabled. Package: libghc-bytestring-trie-doc Architecture: all Section: doc Depends: ${haskell:Depends}, ${misc:Depends}, ghc-doc Description: An efficient finite map from (byte)strings to values. An efficient finite map from (byte)strings to values. . The implementation is based on big-endian patricia trees, like "Data.IntMap". We first trie on the elements of "Data.ByteString" and then trie on the big-endian bit representation of those elements. Patricia trees have efficient algorithms for union and other merging operations, but they're also quick for lookups and insertions. . Author: wren ng thornton Upstream-Maintainer: wren@community.haskell.org . This package contains the documentation files.