chore: add index.d.ts

Signed-off-by: Shabareesh Shetty <[email protected]>

Author: ShabiShett07

lib/node_modules/@stdlib/blas/ext/base/dnancusumkbn2/docs/types/index.d.ts

@@ -0,0 +1,106 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2020 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Interface describing `dnancusumkbn2`.
+*/
+interface Routine {
+	/**
+	* Computes the cumulative sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
+	*
+	* @param N - number of indexed elements
+	* @param sum - initial sum
+	* @param x - input array
+	* @param strideX - stride length for `x`
+	* @param y - output array
+	* @param strideY - stride length for `y`
+	* @returns output array
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 1.0, -2.0, NaN ] );
+	* var y = new Float64Array( x.length );
+	*
+	* dnancusumkbn2( x.length, 0.0, x, 1, y, 1 );
+	* // y => <Float64Array>[ 1.0, -1.0, -1.0 ]
+	*/
+	( N: number, sum: number, x: Float64Array, strideX: number, y: Float64Array, strideY: number ): Float64Array;
+
+	/**
+	* Computes the cumulative sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm and alternative indexing semantics.
+	*
+	* @param N - number of indexed elements
+	* @param sum - initial sum
+	* @param x - input array
+	* @param strideX - stride length for `x`
+	* @param offsetX - starting index for `x`
+	* @param y - output array
+	* @param strideY - stride length for `y`
+	* @param offsetY - starting index for `y`
+	* @returns output array
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* var x = new Float64Array( [ 1.0, -2.0, NaN ] );
+	* var y = new Float64Array( x.length );
+	*
+	* dnancusumkbn2.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
+	* // y => <Float64Array>[ 1.0, -1.0, -1.0 ]
+	*/
+	ndarray( N: number, sum: number, x: Float64Array, strideX: number, offsetX: number, y: Float64Array, strideY: number, offsetY: number ): Float64Array;
+}
+
+/**
+* Computes the cumulative sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
+*
+* @param N - number of indexed elements
+* @param sum - initial sum
+* @param x - input array
+* @param strideX - stride length for `x`
+* @param y - output array
+* @param strideY - stride length for `y`
+* @returns output array
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = new Float64Array( [ 1.0, -2.0, NaN ] );
+* var y = new Float64Array( x.length );
+*
+* dnancusumkbn2( x.length, 0.0, x, 1, y, 1 );
+* // y => <Float64Array>[ 1.0, -1.0, -1.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = new Float64Array( [ 1.0, -2.0, NaN ] );
+* var y = new Float64Array( x.length );
+*
+* dnancusumkbn2.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
+* // y => <Float64Array>[ 1.0, -1.0, -1.0 ]
+*/
+declare var dnancusumkbn2: Routine;
+
+
+// EXPORTS //
+
+export = dnancusumkbn2;