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Determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.
import minDataType from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-min-dtype@deno/mod.js';Returns the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.
var dt = minDataType( 3.141592653589793 );
// returns 'float32'
dt = minDataType( -3 );
// returns 'int8'
dt = minDataType( 3 );
// returns 'uint8'
dt = minDataType( '3' );
// returns 'generic'- The function does not provide precision guarantees for non-integer-valued numbers. In other words, the function returns the smallest possible floating-point (i.e., inexact) data type for storing numbers having decimals.
import roundn from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-roundn@deno/mod.js';
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@deno/mod.js';
import pow from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-pow@deno/mod.js';
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@deno/mod.js';
import minDataType from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-min-dtype@deno/mod.js';
var dt;
var v;
var i;
// Generate numbers of varying magnitudes and determine the minimum data type for each value...
for ( i = 0; i < 100; i++ ) {
v = randu() * pow( 2.0, discreteUniform( 0, 40 ) );
if ( randu() < 0.5 ) {
v *= -1;
}
v = roundn( v, discreteUniform( -1, 0 ) );
dt = minDataType( v );
console.log( 'min(%d) => %s', v, dt );
}@stdlib/ndarray-dtypes: list of ndarray data types.@stdlib/ndarray-promotion-rules: return the ndarray data type with the smallest size and closest kind to which ndarray data types can be safely cast.@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 of stdlib, a standard library 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 develop stdlib, see the main project repository.
See LICENSE.
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