feat: add blas/ext/base/ndarray/dlogspace

lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/README.md

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+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 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.
+
+-->
+
+# dlogspace
+
+> Fill a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dlogspace = require( '@stdlib/blas/ext/base/ndarray/dlogspace' );
+```
+
+#### dlogspace( arrays )
+
+Fills a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Float64Vector( [ 0.0, 0.0, 0.0, 0.0 ] );
+
+var base = scalar2ndarray( 10.0, {
+    'dtype': 'float64'
+});
+
+var strt = scalar2ndarray( 0.0, {
+    'dtype': 'float64'
+});
+
+var stp = scalar2ndarray( 3.0, {
+    'dtype': 'float64'
+});
+
+var endpoint = scalar2ndarray( true, {
+    'dtype': 'bool'
+});
+
+var out = dlogspace( [ x, base, strt, stp, endpoint ] );
+// returns <ndarray>[ 1.0, 10.0, 100.0, 1000.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray specifying the base of the logarithmic scale.
+    -   a zero-dimensional ndarray specifying the exponent of the starting value, where the starting value is given by `base^start`.
+    -   a zero-dimensional ndarray specifying the exponent of the final value, where the final value is given by `base^stop`.
+    -   a zero-dimensional ndarray specifying whether to include the `base^stop` value when writing values to the input ndarray. If `true`, the input ndarray is filled with logarithmically spaced values over the closed interval `[base^start, base^stop]`. If `false`, the input ndarray is filled with logarithmically spaced values over the half-open interval `[base^start, base^stop)`.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   Let `M` be the number of generated values (which is either `N` or `N+1` depending on whether `endpoint` is `true` or `false`, respectively). The spacing between the exponents is thus given by
+
+    ```text
+    Δ = (stop-start)/(M-1)
+    ```
+
+    and the generated values are equal to `base^(start+Δ*i)` for `i = 0, 1, ..., M-1`.
+
+-   When the number of generated values is greater than `1` and `endpoint` is `true`, the set of values written to a provided input ndarray is guaranteed to include the `base^start` and `base^stop` values. Beware, however, that values between `base^start` and `base^stop` are subject to floating-point rounding errors. Hence,
+
+    <!-- eslint-disable max-len -->
+
+    ```javascript
+    var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+    var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+    var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+    var x = new Float64Vector( [ 0.0, 0.0, 0.0 ] );
+
+    var base = scalar2ndarray( 10.0, {
+        'dtype': 'float64'
+    });
+
+    var strt = scalar2ndarray( 0.0, {
+        'dtype': 'float64'
+    });
+
+    var stp = scalar2ndarray( 1.0, {
+        'dtype': 'float64'
+    });
+
+    var endpoint = scalar2ndarray( true, {
+        'dtype': 'bool'
+    });
+
+    dlogspace( [ x, base, strt, stp, endpoint ] );
+
+    var arr = ndarray2array( x );
+    // returns [ 1.0, ~3.16, 10.0 ]
+    ```
+
+    where `arr[1]` is only guaranteed to be approximately equal to the square root of `10`.
+
+-   When `N = 1` and `endpoint` is `false`, only the `base^start` value is written to a provided input ndarray. When `N = 1` and `endpoint` is `true`, only the `base^stop` value is written to a provided input ndarray.
+
+-   If `start < stop`, the exponents are written to a provided input ndarray in ascending order; otherwise, they are written in descending order.
+
+-   The input ndarray is **mutated**.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var dlogspace = require( '@stdlib/blas/ext/base/ndarray/dlogspace' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var base = scalar2ndarray( 10.0, opts );
+console.log( 'Base: %d', ndarraylike2scalar( base ) );
+
+var strt = scalar2ndarray( 0.0, opts );
+console.log( 'Start: %d', ndarraylike2scalar( strt ) );
+
+var stp = scalar2ndarray( 9.0, opts );
+console.log( 'Stop: %d', ndarraylike2scalar( stp ) );
+
+var endpoint = scalar2ndarray( true, {
+    'dtype': 'bool'
+});
+console.log( 'Endpoint: %s', ndarraylike2scalar( endpoint ) );
+
+dlogspace( [ x, base, strt, stp, endpoint ] );
+console.log( ndarray2array( x ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/benchmark/benchmark.js

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+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlogspace = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var endpoint;
+	var base;
+	var strt;
+	var stp;
+	var x;
+
+	x = uniform( [ len ], 0.0, 100.0, options );
+	base = scalar2ndarray( 10.0, options );
+	strt = scalar2ndarray( 0.0, options );
+	stp = [
+		scalar2ndarray( 9.0, options ),
+		scalar2ndarray( 5.0, options )
+	];
+	endpoint = scalar2ndarray( true, {
+		'dtype': 'bool'
+	});
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = dlogspace( [ x, base, strt, stp[ i%2 ], endpoint ] );
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.get( i%len ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/repl.txt

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+
+{{alias}}( arrays )
+    Fills a one-dimensional double-precision floating-point ndarray with
+    logarithmically spaced values over a specified interval.
+
+    Let `N` be the number of elements in the input ndarray. If `N = 1` and
+    `endpoint` is `true`, the set of values written to an input ndarray only
+    includes `base^stop`, but not `base^start`; otherwise, when `N = 1` and
+    `endpoint` is `false`, the set of values written to an input ndarray only
+    includes `base^start`, but not `base^stop`.
+
+    If `start` is less than `stop`, the set of values written to an input
+    ndarray will be written in ascending order, and, if `start` is greater than
+    `stop`, the set of written values will be in descending order.
+
+    When `N >= 2` and `endpoint` is `true`, the set of values written to an
+    input ndarray is guaranteed to include the `base^start` and `base^stop`
+    values. Beware, however, that values between `base^start` and `base^stop`
+    are subject to floating-point rounding errors.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray specifying the base of the logarithmic
+        scale.
+        - a zero-dimensional ndarray specifying the exponent of the starting
+        value.
+        - a zero-dimensional ndarray specifying the exponent of the final
+        value.
+        - a zero-dimensional ndarray specifying whether to include the
+        `base^stop` value when writing values to the input ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    // Create the input ndarray:
+    > var opts = { 'dtype': 'float64' };
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+
+    // Specify the base:
+    > var base = {{alias:@stdlib/ndarray/from-scalar}}( 10.0, opts );
+
+    // Specify the exponent of the starting value:
+    > var strt = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, opts );
+
+    // Specify the exponent of the final value:
+    > var stp = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, opts );
+
+    // Specify whether to include the endpoint:
+    > opts = { 'dtype': 'bool' };
+    > var endpoint = {{alias:@stdlib/ndarray/from-scalar}}( true, opts );
+
+    // Fill the input ndarray:
+    > {{alias}}( [ x, base, strt, stp, endpoint ] )
+    <ndarray>[ 1.0, 10.0, 100.0, 1000.0 ]
+
+    See Also
+    --------