numhask-array: Multi-dimensional arrays.

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This package provides an interface into the numhask API, and both type- and value-level shape manipulation routines.

Usage

>>> {-# LANGUAGE RebindableSyntax #-}
>>> import NumHask.Prelude
>>> import NumHask.Array

In situations where shape is only known at runtime, a clear module configuration is:

>>> import NumHask.Array.Shape
>>> import qualified NumHask.Array.Fixed as F
>>> import qualified NumHask.Array.Dynamic as D

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Properties

Versions 0.0.1, 0.0.2, 0.1.0.0, 0.1.1.0, 0.2.0.0, 0.2.0.1, 0.2.1.0, 0.3, 0.3.0.1, 0.4.0.0, 0.5.0.0, 0.5.1, 0.6.0, 0.7.0, 0.8.0, 0.9.0, 0.9.1, 0.9.1, 0.9.2, 0.10.0, 0.10.1, 0.10.2, 0.11.0.0, 0.11.0.1
Change log None available
Dependencies adjunctions (>=4.0 && <5), base (>=4.11 && <5), distributive (>=0.4 && <0.7), numhask (>=0.8 && <0.9), vector (>=0.10 && <0.13) [details]
License BSD-3-Clause
Copyright Tony Day
Author Tony Day
Maintainer tonyday567@gmail.com
Category project
Home page https://github.com/tonyday567/numhask-array#readme
Bug tracker https://github.com/tonyday567/numhask-array/issues
Source repo head: git clone https://github.com/tonyday567/numhask-array
Uploaded by tonyday567 at 2021-09-05T20:47:50Z

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Readme for numhask-array-0.9.1

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numhask-array

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This package provides an interface into the numhask API, and both type and value level shape manipulation routines.

Usage

{-# LANGUAGE RebindableSyntax #-}
import NumHask.Prelude
import NumHask.Array

In situations where shape is only known at run-time, a clear module configuration is:

import NumHask.Array.Shape
import qualified NumHask.Array.Fixed as F
import qualified NumHask.Array.Dynamic as D