diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/README.md
new file mode 100644
index 000000000000..2f8a4627faf7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/README.md
@@ -0,0 +1,196 @@
+
+
+# dlogspace
+
+> Fill a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+
+
+
+
+
+
+
+
+
+## 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 [ 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)`.
+
+
+
+
+
+
+
+## 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,
+
+
+
+ ```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**.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```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 ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/benchmark/benchmark.js
new file mode 100644
index 000000000000..31b441779d88
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/benchmark/benchmark.js
@@ -0,0 +1,119 @@
+/**
+* @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();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/repl.txt
new file mode 100644
index 000000000000..372082327c69
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/repl.txt
@@ -0,0 +1,65 @@
+
+{{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
+ 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 ] )
+ [ 1.0, 10.0, 100.0, 1000.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/index.d.ts
new file mode 100644
index 000000000000..8c7324e84ca5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/index.d.ts
@@ -0,0 +1,71 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { float64ndarray, typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Fills a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+*
+* ## Notes
+*
+* - The function expects 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.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* 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, 0.0, 0.0 ] );
+*
+* var base = scalar2ndarray( 10.0, {
+* 'dtype': 'float64'
+* });
+*
+* var strt = scalar2ndarray( 0.0, {
+* 'dtype': 'float64'
+* });
+*
+* var stp = scalar2ndarray( 5.0, {
+* 'dtype': 'float64'
+* });
+*
+* var endpoint = scalar2ndarray( true, {
+* 'dtype': 'bool'
+* });
+*
+* var out = dlogspace( [ x, base, strt, stp, endpoint ] );
+* // returns [ 1.0, 10.0, 100.0, 1000.0, 10000.0, 100000.0 ]
+*/
+declare function dlogspace( arrays: [ float64ndarray, typedndarray, typedndarray, typedndarray, typedndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dlogspace;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/test.ts
new file mode 100644
index 000000000000..870e0f0c5afa
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/docs/types/test.ts
@@ -0,0 +1,82 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import dlogspace = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const base = scalar2ndarray( 10.0, {
+ 'dtype': 'float64'
+ });
+ const strt = scalar2ndarray( 0.0, {
+ 'dtype': 'float64'
+ });
+ const stp = scalar2ndarray( 9.0, {
+ 'dtype': 'float64'
+ });
+ const endpoint = scalar2ndarray( true, {
+ 'dtype': 'bool'
+ });
+
+ dlogspace( [ x, base, strt, stp, endpoint ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ dlogspace( '10' ); // $ExpectError
+ dlogspace( 10 ); // $ExpectError
+ dlogspace( true ); // $ExpectError
+ dlogspace( false ); // $ExpectError
+ dlogspace( null ); // $ExpectError
+ dlogspace( undefined ); // $ExpectError
+ dlogspace( [] ); // $ExpectError
+ dlogspace( {} ); // $ExpectError
+ dlogspace( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const base = scalar2ndarray( 10.0, {
+ 'dtype': 'float64'
+ });
+ const strt = scalar2ndarray( 0.0, {
+ 'dtype': 'float64'
+ });
+ const stp = scalar2ndarray( 9.0, {
+ 'dtype': 'float64'
+ });
+ const endpoint = scalar2ndarray( true, {
+ 'dtype': 'bool'
+ });
+
+ dlogspace(); // $ExpectError
+ dlogspace( [ x, base, strt, stp, endpoint ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/examples/index.js
new file mode 100644
index 000000000000..287578cde23e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/examples/index.js
@@ -0,0 +1,49 @@
+/**
+* @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';
+
+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( './../lib' );
+
+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 ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/index.js
new file mode 100644
index 000000000000..73ff1bd8b800
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/index.js
@@ -0,0 +1,60 @@
+/**
+* @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';
+
+/**
+* Fill a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+*
+* @module @stdlib/blas/ext/base/ndarray/dlogspace
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var dlogspace = require( '@stdlib/blas/ext/base/ndarray/dlogspace' );
+*
+* var x = new Float64Vector( [ 0.0, 0.0, 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( 5.0, {
+* 'dtype': 'float64'
+* });
+*
+* var endpoint = scalar2ndarray( true, {
+* 'dtype': 'bool'
+* });
+*
+* var out = dlogspace( [ x, base, strt, stp, endpoint ] );
+* // returns [ 1.0, 10.0, 100.0, 1000.0, 10000.0, 100000.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/main.js
new file mode 100644
index 000000000000..565377e7bccc
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dlogspace/lib/main.js
@@ -0,0 +1,95 @@
+/**
+* @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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/dlogspace' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Fills a one-dimensional double-precision floating-point ndarray with logarithmically spaced values over a specified interval.
+*
+* ## Notes
+*
+* - The function expects 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.
+*
+* @param {ArrayLikeObject