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      "description": "This package provides the Haskell pretty library.",
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      "description": "This package provides the Haskell os-string library.",
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      "description": "\"Data.Scientific\" provides the number type 'Scientific'. Scientific numbers are\narbitrary precision and space efficient. They are represented using\n<http://en.wikipedia.org/wiki/Scientific_notation scientific notation>.\nThe implementation uses a coefficient 'c :: 'Integer'' and a base-10 exponent\n'e :: 'Int''. A scientific number corresponds to the 'Fractional' number:\n''fromInteger' c * 10 '^^' e'.\n\nNote that since we're using an 'Int' to represent the exponent these numbers\naren't truly arbitrary precision. I intend to change the type of the exponent\nto 'Integer' in a future release.\n\nThe main application of 'Scientific' is to be used as the target of parsing\narbitrary precision numbers coming from an untrusted source. The advantages\nover using 'Rational' for this are that:\n\n* A 'Scientific' is more efficient to construct. Rational numbers need to be\nconstructed using '%' which has to compute the 'gcd' of the 'numerator' and\n'denominator'.\n\n* 'Scientific' is safe against numbers with huge exponents. For example:\n'1e1000000000 :: 'Rational'' will fill up all space and crash your program.\nScientific works as expected:\n\n>>> read \"1e1000000000\" :: Scientific 1.0e1000000000\n\n* Also, the space usage of converting scientific numbers with huge exponents to\n''Integral's' (like: 'Int') or ''RealFloat's' (like: 'Double' or 'Float') will\nalways be bounded by the target type.",
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      "description": "This package provides the Haskell deepseq library.",
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      "description": "This package provides the Haskell text library.",
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      "description": "'cassava' is a library for parsing and encoding [RFC\n4180](https://tools.ietf.org/html/rfc4180) compliant [comma-separated values\n(CSV)](https://en.wikipedia.org/wiki/Comma-separated_values) data, which is a\ntextual line-oriented format commonly used for exchanging tabular data.\n\n'cassava''s API includes support for\n\n- Index-based record-conversion - Name-based record-conversion - Typeclass\ndirected conversion of fields and records - Built-in field-conversion instances\nfor standard types - Customizable record-conversion instance derivation via GHC\ngenerics - Low-level\n[bytestring](https://hackage.haskell.org/package/bytestring) builders (see\n\"Data.Csv.Builder\") - Incremental decoding and encoding API (see\n\"Data.Csv.Incremental\") - Streaming API for constant-space decoding (see\n\"Data.Csv.Streaming\")\n\nMoreover, this library is designed to be easy to use; for instance, here's a\nvery simple example of encoding CSV data:\n\n>>> Data.Csv.encode [(\"John\",27),(\"Jane\",28)] \"John,27rnJane,28rn\"\n\nPlease refer to the documentation in \"Data.Csv\" and the included\n[README](#readme) for more usage examples.",
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