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Base ndarray assertion utilities.
To use in Observable,
ns = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-assert@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var ns = require( 'path/to/vendor/umd/ndarray-base-assert/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-assert@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.ns;
})();
</script>Base ndarray assertion utilities.
var o = ns;
// returns {...}hasEqualShape( x, y ): test if two ndarrays have the same shape.isAllowedDataTypeCast( from, to, casting ): determine whether an ndarray data type can be cast to another ndarray data type according to a specified casting mode.isBooleanDataType( value ): test if an input value is a supported ndarray boolean data type.isBooleanIndexDataType( value ): test if an input value is a supported ndarray boolean index data type.isBufferLengthCompatibleShape( len, shape ): determine if a buffer length is compatible with an array shape.isBufferLengthCompatible( len, shape, strides, offset ): determine if a buffer length is compatible with ndarray meta data.isCastingMode( value ): test if an input value is a supported ndarray casting mode.isColumnMajorContiguous( shape, strides, offset ): determine if an array is column-major contiguous.isColumnMajorString( value ): test whether an input value is the string representing column-major order.isColumnMajor( strides ): given a stride array, determine whether an array is column-major.isComplexFloatingPointDataType( value ): test if an input value is a supported ndarray complex-valued floating-point data type.isContiguous( shape, strides, offset ): determine if an array is contiguous.isDataType( value ): test if an input value is a supported ndarray data type.isFloatingPointDataType( value ): test if an input value is a supported ndarray floating-point data type.isIndexDataType( value ): test if an input value is a supported ndarray index data type.isIndexMode( value ): test if an input value is a supported ndarray index mode.isInputCastingPolicy( value ): test if an input value is a supported input ndarray casting policy.isIntegerDataType( value ): test if an input value is a supported ndarray integer data type.isIntegerIndexDataType( value ): test if an input value is a supported ndarray integer index data type.isMaskIndexDataType( value ): test if an input value is a supported ndarray mask index data type.isMostlySafeDataTypeCast( from, to ): determine whether an ndarray data type can be safely cast or, for floating-point data types, downcast to another ndarray data type.isNumericDataType( value ): test if an input value is a supported ndarray numeric data type.isOrder( value ): test if an input value is an ndarray order.isOutputDataTypePolicy( value ): test if an input value is a supported ndarray output data type policy.isReadOnly( arr ): test if an ndarray is read-only.isRealDataType( value ): test if an input value is a supported ndarray real-valued data type.isRealFloatingPointDataType( value ): test if an input value is a supported ndarray real-valued floating-point data type.isRowMajorContiguous( shape, strides, offset ): determine if an array is row-major contiguous.isRowMajorString( value ): test whether an input value is the string representing row-major order.isRowMajor( strides ): given a stride array, determine whether an array is row-major.isSafeDataTypeCast( from, to ): determine whether an ndarray data type can be safely cast to another ndarray data type.isSameKindDataTypeCast( from, to ): determine whether an ndarray data type can be safely cast to, or is of the same "kind" as, another ndarray data type.isScalarMostlySafeCompatible( value, dtype ): determine whether a scalar value can be safely cast or, for floating-point data types, downcast to specified ndarray data type.isSignedIntegerDataType( value ): test if an input value is a supported ndarray signed integer data type.isSingleSegmentCompatible( shape, strides, offset ): determine if an array is compatible with a single memory segment.isUnsignedIntegerDataType( value ): test if an input value is a supported ndarray unsigned integer data type.
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<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/utils-keys@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-assert@umd/browser.js"></script>
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(function () {
console.log( objectKeys( ns ) );
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</html>This package is part of stdlib, 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 develop stdlib, see the main project repository.
See LICENSE.
Copyright © 2016-2025. The Stdlib Authors.
