dataframe-core-2.5.0.0: dataframe-core.cabal

cabal-version:      3.4
name:               dataframe-core
version:            2.5.0.0
synopsis:           Core data structures for the dataframe library.
description:
    Minimal interchange-format types for the @dataframe@ ecosystem:
    'Column', 'DataFrame', 'Bitmap', the untyped expression/interpreter,
    and the typed-schema phantom layer. Contains no Template Haskell and
    no file I/O. Lightweight dependency footprint (base, vector,
    containers, time, random, bytestring, text) so other packages can
    exchange dataframes by-value without pulling in the full
    @dataframe@ package.

bug-reports:        https://github.com/mchav/dataframe/issues
license:            MIT
license-file:       LICENSE
author:             Michael Chavinda
maintainer:         mschavinda@gmail.com
copyright:          (c) 2024-2026 Michael Chavinda
category:           Data
tested-with:        GHC ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2

common warnings
    ghc-options:
        -Wincomplete-patterns
        -Wincomplete-uni-patterns
        -Wunused-imports
        -Wunused-local-binds
        -Wunused-packages

library
    import:             warnings
    exposed-modules:
                        DataFrame.Core
                        DataFrame.Errors
                        DataFrame.Expression.Operators
                        DataFrame.Typed.Freeze
                        DataFrame.Typed.Generic
                        DataFrame.Typed.Record
                        DataFrame.Typed.Schema
                        DataFrame.Typed.Types
                        DataFrame.Typed.Util
                        DataFrame.Display.Terminal.Colours
                        DataFrame.Display.Terminal.PrettyPrint
                        -- Concurrency
                        DataFrame.Internal.Control.Concurrent
                        -- Aggregation kernels and planning.
                        DataFrame.Internal.Aggregation.Kernel.Dense
                        DataFrame.Internal.Aggregation.Kernel.Fused
                        DataFrame.Internal.Aggregation.Kernel.Moments
                        DataFrame.Internal.Aggregation.Kernel.Scatter
                        DataFrame.Internal.Aggregation.Plan
                        DataFrame.Internal.Aggregation.Reduction
                        -- Shared algorithms.
                        DataFrame.Internal.Algorithms.Hash
                        DataFrame.Internal.Algorithms.Rank.Radix
                        DataFrame.Internal.Algorithms.Sort.Radix.Parallel
                        -- The column representation.
                        DataFrame.Internal.Column
                        DataFrame.Internal.Column.Base
                        DataFrame.Internal.Column.Bitmap
                        DataFrame.Internal.Column.Builder
                        DataFrame.Internal.Column.Conversion
                        DataFrame.Internal.Column.Encode
                        DataFrame.Internal.Column.Merge
                        DataFrame.Internal.Column.Operations
                        DataFrame.Internal.Column.Properties
                        DataFrame.Internal.Column.Types
                        -- Backing data structures.
                        DataFrame.Internal.Data.HashTable
                        DataFrame.Internal.Data.PackedText
                        DataFrame.Internal.Data.PackedText.Utf8
                        DataFrame.Internal.DataFrame
                        DataFrame.Internal.Display.Pretty
                        -- Expressions: syntax, operators, simplification.
                        DataFrame.Internal.Expression
                        DataFrame.Internal.Expression.Operators
                        DataFrame.Internal.Expression.Operators.Nullable
                        DataFrame.Internal.Expression.Simplify
                        DataFrame.Internal.Grouping
                        DataFrame.Internal.Grouping.Direct
                        DataFrame.Internal.Grouping.Partitioned
                        DataFrame.Internal.Interpreter
                        DataFrame.Internal.Row
                        DataFrame.Internal.Row.RowHash
    build-depends:      base >= 4 && < 5,
                        containers >= 0.6.7 && < 0.10,
                        primitive >= 0.7 && < 0.11,
                        random >= 1 && < 2,
                        text >= 2.1 && < 3,
                        vector >= 0.13 && < 0.15
    hs-source-dirs:     src, src-internal
    default-language:   Haskell2010