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      "description": "Efficient hashing-based container types. The containers have been optimized for\nperformance critical use, both in terms of large data quantities and high\nspeed.\n\nThe declared cost of each operation is either worst-case or amortized, but\nremains valid even if structures are shared.\n\n/Security/\n\nThis package currently provides no defenses against hash collision attacks such\nas HashDoS. Users who need to store input from untrusted sources are advised to\nuse 'Data.Map' or 'Data.Set' from the 'containers' package instead.",
      "name": "ghc-unordered-containers",
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      "summary": "Strict data types and String IO",
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      "description": "This package provides strict versions of some standard Haskell data types\n(pairs, Maybe and Either). It also contains strict IO operations.\n\nIt is common knowledge that lazy datastructures can lead to space-leaks.\nThis problem is particularly prominent, when using lazy datastructures to store\nthe state of a long-running application in memory. One common solution to this\nproblem is to use 'seq' and its variants in every piece of code that updates\nyour state. However a much easier solution is to use fully strict types to\nstore such state values. By \"fully strict types\" we mean types for whose values\nit holds that, if they are in weak-head normal form, then they are also in\nnormal form. Intuitively, this means that values of fully strict types cannot\ncontain unevaluated thunks.\n\nTo define a fully strict datatype, one typically uses the following recipe.\n\n1. Make all fields of every constructor strict; i.e., add a bang to all fields.\n\n2. Use only strict types for the fields of the constructors.\n\nThe second requirement is problematic as it rules out the use of the standard\nHaskell 'Maybe', 'Either', and pair types. This library solves this problem by\nproviding strict variants of these types and their corresponding standard\nsupport functions and type-class instances.\n\nNote that this library does currently not provide fully strict lists.\nThey can be added if they are really required. However, in many cases one\nprobably wants to use unboxed or strict boxed vectors from the 'vector' library\n(<http://hackage.haskell.org/package/vector>) instead of strict lists.\nMoreover, instead of 'String's one probably wants to use strict 'Text' values\nfrom the 'text' library (<http://hackage.haskell.org/package/text>).\n\nThis library comes with batteries included; i.e., mirror functions and\ninstances of the lazy versions in 'base'. It also includes instances for\ntype-classes from the 'deepseq', 'binary', and 'hashable' packages.",
      "name": "ghc-strict",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/0fcb923e8b0ce983cca762c2475c2677e850abc500e11ded759f15f9e00dabcc-primary.sqlite.bz2",
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      "software_downloadLocation": "NOASSERTION",
      "summary": "Efficient Arrays",
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      "description": "An efficient implementation of 'Int'-indexed arrays (both mutable and\nimmutable), with a powerful loop optimisation framework .\n\nIt is structured as follows:\n\n[\"Data.Vector\"] Boxed vectors of arbitrary types.\n\n[\"Data.Vector.Unboxed\"] Unboxed vectors with an adaptive representation based\non data type families.\n\n[\"Data.Vector.Storable\"] Unboxed vectors of 'Storable' types.\n\n[\"Data.Vector.Primitive\"] Unboxed vectors of primitive types as defined by the\n'primitive' package. \"Data.Vector.Unboxed\" is more flexible at no performance\ncost.\n\n[\"Data.Vector.Generic\"] Generic interface to the vector types.\n\nThere is also a (draft) tutorial on common uses of vector.\n\n* <http://haskell.org/haskellwiki/Numeric_Haskell:_A_Vector_Tutorial>.",
      "name": "ghc-vector",
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      "summary": "Handle per-operating-system X.509 accessors and storage",
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      "description": "System X.509 handling for accessing operating system dependents store and other\nstorage methods.",
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      "description": "This package provides the old time library.\n\nFor new projects, the newer <http://hackage.haskell.org/package/time time\nlibrary> is recommended.",
      "name": "ghc-old-time",
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      "description": "ASN.1 standard types.",
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      "description": "This package provides the Haskell transformers library.",
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      "software_packageUrl": "pkg:rpm/ghc-transformers@0.6.1.1-3.oe2609?arch=aarch64&epoch=0&upstream=ghc-9.10.1-3.oe2609.src.rpm",
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      "summary": "Haskell directory library",
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      "software_homePage": "https://hackage.haskell.org/package/directory",
      "description": "This package provides the Haskell directory library.",
      "name": "ghc-directory",
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      "summary": "X509 reader and writer",
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      "description": "X509 reader and writer. please see README.",
      "name": "ghc-crypton-x509",
      "software_sourceInfo": "acquired package info from repodata DB: repodata/0fcb923e8b0ce983cca762c2475c2677e850abc500e11ded759f15f9e00dabcc-primary.sqlite.bz2",
      "software_packageUrl": "pkg:rpm/ghc-crypton-x509@1.7.7-1.oe2609?arch=aarch64&epoch=0&upstream=ghc-crypton-x509-1.7.7-1.oe2609.src.rpm",
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      "summary": "Low-level networking interface",
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      "software_homePage": "https://hackage.haskell.org/package/network",
      "description": "This package provides a low-level networking interface.\n\n=== High-Level Packages Other packages provide higher level interfaces:\n\n* connection * hookup * network-simple\n\n=== Extended Packages 'network' seeks to provide a cross-platform core for\nnetworking. As such some APIs live in extended libraries. Packages in the\n'network' ecosystem are often prefixed with 'network-'.\n\n==== 'network-bsd' In 'network-3.0.0.0' the 'Network.BSD' module was split off\ninto its own package, 'network-bsd-3.0.0.0'.\n\n==== 'network-uri' In 'network-2.6' the 'Network.URI' module was split off into\nits own package, 'network-uri-2.6'. If you're using the 'Network.URI' module\nyou can automatically get it from the right package by adding this to your\n'.cabal' file:\n\n> library > build-depends: network-uri-flag.",
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      "description": "This package provides a pure interface for compressing and decompressing\nstreams of data represented as lazy 'ByteString's. It uses the\n<https://en.wikipedia.org/wiki/Zlib zlib C library> so it has high performance.\nIt supports the \"zlib\", \"gzip\" and \"raw\" compression formats.\n\nIt provides a convenient high level API suitable for most tasks and for the few\ncases where more control is needed it provides access to the full zlib feature\nset.",
      "name": "ghc-zlib",
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      "description": "This library allows to efficiently serialize Haskell values to lazy bytestrings\nwith a large average chunk size. The large average chunk size allows to make\ngood use of cache prefetching in later processing steps (e.g.\ncompression) and reduces the system call overhead when writing the resulting\nlazy bytestring to a file or sending it over the network.\n\nThis library was inspired by the module Data.Binary.Builder provided by the\nbinary package. It was originally developed with the specific needs of the\nblaze-html package in mind. Since then it has been restructured to serve as a\ndrop-in replacement for Data.Binary.Builder, which it improves upon both in\nspeed as well as expressivity.",
      "name": "ghc-blaze-builder",
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      "description": "This package provides basic pseudo-random number generation, including the\nability to split random number generators.\n\n== \"System.Random\": pure pseudo-random number interface\n\nIn pure code, use 'System.Random.uniform' and 'System.Random.uniformR' from\n\"System.Random\" to generate pseudo-random numbers with a pure pseudo-random\nnumber generator like 'System.Random.StdGen'.\n\nAs an example, here is how you can simulate rolls of a six-sided die using\n'System.Random.uniformR':\n\n>>> let roll = uniformR (1, 6) :: RandomGen g => g -> (Word, g) >>> let rolls =\nunfoldr (Just . roll) :: RandomGen g => g -> [Word] >>> let pureGen = mkStdGen\n42 >>> take 10 (rolls pureGen) :: [Word] [1,1,3,2,4,5,3,4,6,2]\n\nSee \"System.Random\" for more details.\n\n== \"System.Random.Stateful\": monadic pseudo-random number interface\n\nIn monadic code, use 'System.Random.Stateful.uniformM' and\n'System.Random.Stateful.uniformRM' from \"System.Random.Stateful\" to generate\npseudo-random numbers with a monadic pseudo-random number generator, or using a\nmonadic adapter.\n\nAs an example, here is how you can simulate rolls of a six-sided die using\n'System.Random.Stateful.uniformRM':\n\n>>> let rollM = uniformRM (1, 6) :: StatefulGen g m => g -> m Word >>> let\npureGen = mkStdGen 42 >>> runStateGen_ pureGen (replicateM 10 . rollM) ::\n[Word] [1,1,3,2,4,5,3,4,6,2]\n\nThe monadic adapter 'System.Random.Stateful.runStateGen_' is used here to lift\nthe pure pseudo-random number generator 'pureGen' into the\n'System.Random.Stateful.StatefulGen' context.\n\nThe monadic interface can also be used with existing monadic pseudo-random\nnumber generators. In this example, we use the one provided in the\n<https://hackage.haskell.org/package/mwc-random mwc-random> package:\n\n>>> import System.Random.MWC as MWC >>> let rollM = uniformRM (1, 6) ::\nStatefulGen g m => g -> m Word >>> monadicGen <- MWC.create >>> replicateM 10\n(rollM monadicGen) :: IO [Word] [2,3,6,6,4,4,3,1,5,4]\n\nSee \"System.Random.Stateful\" for more details.",
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