npm install @stdlib/array-safe-casts

Alternatively,

• To load the package in a website via ascript tag without installation and bundlers, use theES Module available on theesm branch (seeREADME).
• If you are using Deno, visit thedeno branch (seeREADME for usage intructions).
• For use in Observable, or in browser/node environments, use theUniversal Module Definition (UMD) build available on theumd branch (seeREADME).

Thebranches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

varsafeCasts=require('@stdlib/array-safe-casts');

If provided adtype argument, returns a list of arraydata types to which a provided arraydata type can be safely cast.

varout=safeCasts('float32');// e.g., returns [ 'float32', 'float64', 'complex64', 'complex128', 'generic' ]

If not provided adtype argument, the function returns a casting table.

varout=safeCasts();// returns {...}varf32=out['float32'];// returns {...}varv=f32['float64'];// returns 1

If provided an unrecognized or unsupporteddtype, the function returnsnull.

varout=safeCasts('foo');// returns null

• @stdlib/array-convert:convert an array to an array of a different data type.
• @stdlib/array-convert-same:convert an array to the same data type as a second input array.
• @stdlib/array-dtypes:list of array data types.
• @stdlib/array-mostly-safe-casts:return a list of array data types to which a provided array data type can be safely cast and, for floating-point data types, can be downcast.
• @stdlib/array-same-kind-casts:return a list of array data types to which a provided array data type can be safely cast or cast within the same kind.
• @stdlib/ndarray-safe-casts:return a list of ndarray data types to which a provided ndarray data type can be safely cast.

This package is part ofstdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to developstdlib, see the main projectrepository.

SeeLICENSE.

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