numhask-array: Multi-dimensional arrays.
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
Modules
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Downloads
- numhask-array-0.10.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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For package maintainers and hackage trustees
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Versions [RSS] | 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, 0.9.2, 0.10.0, 0.10.1, 0.10.2, 0.11.0.0, 0.11.0.1, 0.11.1.0 |
---|---|
Change log | ChangeLog.md |
Dependencies | adjunctions (>=4.0 && <5), base (>=4.11 && <5), distributive (>=0.4 && <0.7), numhask (>=0.10 && <0.11), vector (>=0.10 && <0.13) [details] |
Tested with | ghc ==8.8.4 || ==8.10.7 || ==9.2.1 |
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 2022-02-03T04:30:38Z |
Distributions | LTSHaskell:0.11.1.0, NixOS:0.11.1.0, Stackage:0.11.1.0 |
Reverse Dependencies | 6 direct, 5 indirect [details] |
Downloads | 7591 total (10 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2022-02-03 [all 1 reports] |