hw-xml: XML parser based on succinct data structures.

[ bsd3, data, data-structures, library, program, succinct-data-structures, xml ] [ Propose Tags ]

XML parser based on succinct data structures. Please see README.md


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Versions [RSS] 0.0.0.1, 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.1.0.4, 0.2.0.0, 0.3.0.0, 0.4.0.0, 0.4.0.1, 0.4.0.2, 0.4.0.3, 0.4.0.4, 0.4.0.5, 0.4.0.6, 0.5.0.0, 0.5.1.0, 0.5.1.1, 0.5.1.2
Dependencies ansi-wl-pprint (>=0.6.9 && <0.7), array (>=0.5.2.0 && <0.6), attoparsec (>=0.13.2.2 && <0.14), base (>=4.10 && <5), bytestring (>=0.10.8.2 && <0.11), cereal (>=0.5.8.1 && <0.6), containers (>=0.6.2.1 && <0.7), deepseq (>=1.4.3.0 && <1.5), generic-lens (>=1.2.0.1 && <1.3), ghc-prim (>=0.5 && <0.6), hw-balancedparens (>=0.3.0.1 && <0.4), hw-bits (>=0.7.0.9 && <0.8), hw-parser (>=0.1.0.1 && <0.2), hw-prim (>=0.6.2.39 && <0.7), hw-rankselect (>=0.13.2.0 && <0.14), hw-rankselect-base (>=0.3.2.1 && <0.4), hw-xml, lens (>=4.17.1 && <5.0), mmap (>=0.5.9 && <0.6), mtl (>=2.2.2 && <3), optparse-applicative (>=0.15.1.0 && <0.16), resourcet (>=1.2.2 && <1.3), text (>=1.2.4.0 && <1.3), transformers (>=0.5.5.0 && <0.6), vector (>=0.12.0.3 && <0.13), word8 (>=0.1.3 && <0.2) [details]
License BSD-3-Clause
Copyright 2016-2019 John Ky , 2016-2019 Alexey Raga
Author John Ky, Alexey Raga
Maintainer alexey.raga@gmail.com
Category Data, XML, Succinct Data Structures, Data Structures
Home page http://github.com/haskell-works/hw-xml#readme
Bug tracker https://github.com/haskell-works/hw-xml/issues
Source repo head: git clone https://github.com/haskell-works/hw-xml
Uploaded by haskellworks at 2019-11-25T01:09:25Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables hw-xml
Downloads 8517 total (50 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2019-11-25 [all 1 reports]

Readme for hw-xml-0.4.0.5

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hw-xml

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hw-xml is a high performance XML parsing library. It uses succinct data-structures to allow traversal of large XML strings with minimal memory overhead.

For an example, see app/Main.hs

Notes