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Within LTS Haskell 24.35 (ghc-9.10.3)

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  1. package tuple-th

    Generate (non-recursive) utility functions for tuples of statically known size Template Haskell functions for generating functions similar to those in Data.List for tuples of statically known size.

  2. package twitter-types-lens

    Twitter JSON types (lens powered) Please see the README on Github at https://github.com/himura/twitter-types#readme

  3. package typography-geometry

    Drawings for printed text documents Drawings for printed text documents

  4. package uncertain

    Manipulating numbers with inherent experimental/measurement uncertainty Provides tools to manipulate numbers with inherent experimental/measurement uncertainty, and propagates them through functions based on principles from statistics.

  5. package unconditional-jump

    Unconditional jumps Unconditional jumps.

  6. package unconstrained

    Null constraint Null constraint

  7. package unexceptionalio-trans

    A wrapper around UnexceptionalIO using monad transformers UnexceptionalIO provides a basic type to witness having caught all exceptions you can safely handle. This library builds on that with transformers like ExceptT to provide a more ergonomic tool for many cases. It is intended that you use qualified imports with this library.

    import UnexceptionalIO.Trans (UIO)
    import qualified UnexceptionalIO.Trans as UIO
    

  8. package unification-fd

    Simple generic unification algorithms. Generic functions for single-sorted first-order structural unification (think of programming in Prolog, or of the metavariables in type inference).

  9. package union-find-array

    union find data structure ST based implementation of Tarjan's disjoint set forests, using mutable arrays storing indices instead of references internally. There is also a pure, immutable version of the data structure, which is useful for querying the result of a union find construction.

  10. package unipatterns

    Helpers which allow safe partial pattern matching in lambdas Please see the README on GitHub at https://github.com/ChrisPenner/unipatterns#readme

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