From c9f11537601f43454446a6b67a0ae7555efe7ff3 Mon Sep 17 00:00:00 2001 From: headlessNode Date: Tue, 25 Aug 2026 10:12:32 +0500 Subject: [PATCH 1/2] feat: add ndarray/base/insert-dimension --- .../ndarray/base/insert-dimension/README.md | 146 ++++++ .../insert-dimension/benchmark/benchmark.js | 115 +++++ .../benchmark/benchmark.ndims.js | 95 ++++ .../base/insert-dimension/docs/repl.txt | 42 ++ .../insert-dimension/docs/types/index.d.ts | 51 ++ .../base/insert-dimension/docs/types/test.ts | 84 +++ .../base/insert-dimension/examples/index.js | 29 ++ .../base/insert-dimension/lib/index.js | 44 ++ .../ndarray/base/insert-dimension/lib/main.js | 144 ++++++ .../base/insert-dimension/package.json | 70 +++ .../base/insert-dimension/test/test.js | 483 ++++++++++++++++++ 11 files changed, 1303 insertions(+) create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/package.json create mode 100644 lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md new file mode 100644 index 000000000000..75c17d287ad2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md @@ -0,0 +1,146 @@ + + +# insertDimension + +> Insert a new dimension of size one at a specified dimension index of an input ndarray. + + + +
+ +
+ + + + + +
+ +## Usage + +```javascript +var insertDimension = require( '@stdlib/ndarray/base/insert-dimension' ); +``` + +#### insertDimension( x, dim, writable ) + +Inserts a new dimension of size one at a specified dimension index of an input ndarray. + +```javascript +var getShape = require( '@stdlib/ndarray/shape' ); +var array = require( '@stdlib/ndarray/array' ); + +// Create a 2x2 ndarray: +var x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); +// returns [ [ 1, 2 ], [ 3, 4 ] ] + +// Prepend a singleton dimension: +var y = insertDimension( x, 0, false ); +// returns [ [ [ 1, 2 ], [ 3, 4 ] ] ] + +var sh = getShape( y ); +// returns [ 1, 2, 2 ] + +// Append a singleton dimension: +y = insertDimension( x, 2, false ); +// returns [ [ [ 1 ], [ 2 ] ], [ [ 3 ], [ 4 ] ] ] + +sh = getShape( y ); +// returns [ 2, 2, 1 ] + +// Insert a singleton dimension: +y = insertDimension( x, 1, false ); +// returns [ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ] + +sh = getShape( y ); +// returns [ 2, 1, 2 ] +``` + +The function accepts the following arguments: + +- **x**: input ndarray. +- **dim**: dimension index at which to insert a singleton dimension. +- **writable**: boolean indicating whether a returned ndarray should be writable. + +
+ + + + + +
+ +## Notes + +- A provided dimension index must reside on the interval `[-N-1, N]`, where `N` is the rank (i.e., number of dimensions) of the provided input array. If provided a negative dimension index, the position at which to insert a singleton dimension is computed as `N + dim + 1`. Hence, if provided `-1`, the resolved position is `N` (i.e., a singleton dimension is appended to the input array). +- The `writable` parameter **only** applies to ndarray constructors supporting **read-only** instances. + +
+ + + + + +
+ +## Examples + + + +```javascript +var uniform = require( '@stdlib/random/uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var insertDimension = require( '@stdlib/ndarray/base/insert-dimension' ); + +var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 ); +console.log( ndarray2array( x ) ); + +var y = insertDimension( x, 1, false ); +console.log( ndarray2array( y ) ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +
+ + + + + +
+ +
+ + diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js new file mode 100644 index 000000000000..20c769918e91 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js @@ -0,0 +1,115 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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 Float64Array = require( '@stdlib/array/float64' ); +var ndarrayBase = require( '@stdlib/ndarray/base/ctor' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var insertDimension = require( './../lib' ); + + +// MAIN // + +bench( format( '%s::base_ndarray,2d', pkg ), function benchmark( b ) { + var strides; + var values; + var buffer; + var offset; + var dtype; + var shape; + var order; + var out; + var i; + + dtype = 'float64'; + buffer = new Float64Array( 2 ); + shape = [ 2 ]; + strides = [ 1 ]; + offset = 0; + order = 'row-major'; + + values = [ + ndarrayBase( dtype, buffer, shape, strides, offset, order ), + ndarrayBase( dtype, buffer, shape, strides, offset, order ), + ndarrayBase( dtype, buffer, shape, strides, offset, order ), + ndarrayBase( dtype, buffer, shape, strides, offset, order ), + ndarrayBase( dtype, buffer, shape, strides, offset, order ) + ]; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + out = insertDimension( values[ i%values.length ], 1, false ); + if ( typeof out !== 'object' ) { + b.fail( 'should return an object' ); + } + } + b.toc(); + if ( !isndarrayLike( out ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( format( '%s::ndarray,2d', pkg ), function benchmark( b ) { + var strides; + var values; + var buffer; + var offset; + var dtype; + var shape; + var order; + var out; + var i; + + dtype = 'float64'; + buffer = new Float64Array( 2 ); + shape = [ 2 ]; + strides = [ 1 ]; + offset = 0; + order = 'row-major'; + + values = [ + ndarray( dtype, buffer, shape, strides, offset, order ), + ndarray( dtype, buffer, shape, strides, offset, order ), + ndarray( dtype, buffer, shape, strides, offset, order ), + ndarray( dtype, buffer, shape, strides, offset, order ), + ndarray( dtype, buffer, shape, strides, offset, order ) + ]; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + out = insertDimension( values[ i%values.length ], 1, false ); + if ( typeof out !== 'object' ) { + b.fail( 'should return an object' ); + } + } + b.toc(); + if ( !isndarrayLike( out ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js new file mode 100644 index 000000000000..1b9f85148381 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js @@ -0,0 +1,95 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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 array = require( '@stdlib/ndarray/array' ); +var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var insertDimension = require( './../lib' ); + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} ndims - number of dimensions +* @returns {Function} benchmark function +*/ +function createBenchmark( ndims ) { + var x = array( [ 1, 2, 3, 4 ], { + 'ndmin': ndims - 1 + }); + 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 = insertDimension( x, i%(ndims-1), false ); + if ( typeof out !== 'object' ) { + b.fail( 'should return an object' ); + } + } + b.toc(); + if ( !isndarrayLike( out ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var min; + var max; + var f; + var i; + + min = 2; + max = 10; + + for ( i = min; i <= max; i++ ) { + f = createBenchmark( i ); + bench( format( '%s::ndarray:ndims=%d', pkg, i ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/repl.txt new file mode 100644 index 000000000000..bbe917dcd974 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/repl.txt @@ -0,0 +1,42 @@ + +{{alias}}( x, dim, writable ) + Inserts a new dimension of size one at a specified dimension index of an + input ndarray. + + A provided dimension index must reside on the interval `[-N-1, N]`, where + `N` is the rank (i.e., number of dimensions) of the provided input array. + + If provided a negative dimension index, the position at which to insert a + singleton dimension is computed as `N + dim + 1`. Hence, if provided `-1`, + the resolved position is `N` (i.e., a singleton dimension is appended to the + input array). + + The `writable` parameter only applies to ndarray constructors supporting + read-only instances. + + Parameters + ---------- + x: ndarray + Input array. + + dim: integer + Dimension index at which to insert a singleton dimension. + + writable: boolean + Boolean indicating whether the returned ndarray should be writable. + + Returns + ------- + out: ndarray + Output array. + + Examples + -------- + > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] ) + [ [ 1, 2 ], [ 3, 4 ] ] + > var y = {{alias}}( x, 1, false ) + [ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ] + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts new file mode 100644 index 000000000000..971db873ed2b --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts @@ -0,0 +1,51 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2022 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 { typedndarray } from '@stdlib/types/ndarray'; + +/** +* Inserts a new dimension of size one at a specified dimension index of an input ndarray. +* +* ## Notes +* +* - A provided dimension index must reside on the interval `[-N-1, N]`, where `N` is the rank (i.e., number of dimensions) of the provided input array. If provided a negative dimension index, the position at which to insert a singleton dimension is computed as `N + dim + 1`. Hence, if provided `-1`, the resolved position is `N` (i.e., a singleton dimension is appended to the input array). +* +* @param x - input array +* @param dim - dimension index at which to insert a singleton dimension +* @param writable - boolean indicating whether the returned ndarray should be writable +* @returns output array +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* +* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); +* // returns [ [ 1, 2 ], [ 3, 4 ] ] +* +* var y = insertDimension( x, 1, false ); +* // returns [ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ] +*/ +declare function insertDimension = typedndarray>( x: U, dim: number, writable: boolean ): U; + + +// EXPORTS // + +export = insertDimension; diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts new file mode 100644 index 000000000000..a179eeb043aa --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts @@ -0,0 +1,84 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2022 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 insertDimension = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 2, 2 ], { + 'dtype': 'float64' + }); + + insertDimension( x, 1, false ); // $ExpectType float64ndarray +} + +// The compiler throws an error if the function is not provided a first argument which is an ndarray... +{ + insertDimension( '5', 1, false ); // $ExpectError + insertDimension( 5, 1, false ); // $ExpectError + insertDimension( true, 1, false ); // $ExpectError + insertDimension( false, 1, false ); // $ExpectError + insertDimension( void 0, 1, false ); // $ExpectError + insertDimension( null, 1, false ); // $ExpectError + insertDimension( {}, 1, false ); // $ExpectError + insertDimension( [ '5' ], 1, false ); // $ExpectError + insertDimension( ( x: number ): number => x, 1, false ); // $ExpectError +} + +// The compiler throws an error if the function is not provided a second argument which is a number... +{ + const x = zeros( [ 2, 2 ] ); + + insertDimension( x, '5', false ); // $ExpectError + insertDimension( x, true, false ); // $ExpectError + insertDimension( x, false, false ); // $ExpectError + insertDimension( x, void 0, false ); // $ExpectError + insertDimension( x, null, false ); // $ExpectError + insertDimension( x, {}, false ); // $ExpectError + insertDimension( x, [ '5' ], false ); // $ExpectError + insertDimension( x, ( x: number ): number => x, false ); // $ExpectError +} + +// The compiler throws an error if the function is not provided a third argument which is a boolean... +{ + const x = zeros( [ 2, 2 ] ); + + insertDimension( x, 1, '5' ); // $ExpectError + insertDimension( x, 1, 5 ); // $ExpectError + insertDimension( x, 1, void 0 ); // $ExpectError + insertDimension( x, 1, null ); // $ExpectError + insertDimension( x, 1, {} ); // $ExpectError + insertDimension( x, 1, [ '5' ] ); // $ExpectError + insertDimension( x, 1, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = zeros( [ 2, 2 ] ); + + insertDimension(); // $ExpectError + insertDimension( x ); // $ExpectError + insertDimension( x, 1 ); // $ExpectError + insertDimension( x, 1, false, [ 1, 2, 3 ] ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js new file mode 100644 index 000000000000..de266d605383 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js @@ -0,0 +1,29 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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 uniform = require( '@stdlib/random/uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var insertDimension = require( './../lib' ); + +var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 ); +console.log( ndarray2array( x ) ); + +var y = insertDimension( x, 1, false ); +console.log( ndarray2array( y ) ); diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js new file mode 100644 index 000000000000..58fc5c032e52 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js @@ -0,0 +1,44 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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'; + +/** +* Insert a new dimension of size one at a specified dimension index of an input ndarray. +* +* @module @stdlib/ndarray/base/insert-dimension +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* var insertDimension = require( '@stdlib/ndarray/base/insert-dimension' ); +* +* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); +* // returns [ [ 1, 2 ], [ 3, 4 ] ] +* +* var y = insertDimension( x, 1, false ); +* // returns [ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js new file mode 100644 index 000000000000..392b6adbbd50 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js @@ -0,0 +1,144 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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 isRowMajorString = require( '@stdlib/ndarray/base/assert/is-row-major-string' ); +var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' ); +var strides2order = require( '@stdlib/ndarray/base/strides2order' ); +var getDType = require( '@stdlib/ndarray/base/dtype' ); +var getShape = require( '@stdlib/ndarray/base/shape' ); +var getStrides = require( '@stdlib/ndarray/base/strides' ); +var getOffset = require( '@stdlib/ndarray/base/offset' ); +var getOrder = require( '@stdlib/ndarray/base/order' ); +var getData = require( '@stdlib/ndarray/base/data-buffer' ); +var format = require( '@stdlib/string/format' ); + + +// MAIN // + +/** +* Inserts a new dimension of size one at a specified dimension index of an input ndarray. +* +* ## Notes +* +* - A provided dimension index must reside on the interval `[-N-1, N]`, where `N` is the rank (i.e., number of dimensions) of the provided input array. If provided a negative dimension index, the position at which to insert a singleton dimension is computed as `N + dim + 1`. Hence, if provided `-1`, the resolved position is `N` (i.e., a singleton dimension is appended to the input array). +* +* @param {ndarray} x - input array +* @param {integer} dim - dimension index at which to insert a singleton dimension +* @param {boolean} writable - boolean indicating whether the returned ndarray should be writable +* @throws {RangeError} must provide a valid dimension index +* @returns {ndarray} output array +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* +* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); +* // returns [ [ 1, 2 ], [ 3, 4 ] ] +* +* var y = insertDimension( x, 1, false ); +* // returns [ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ] +*/ +function insertDimension( x, dim, writable ) { + var strides; + var shape; + var isrm; + var ord; + var sh; + var st; + var d; + var o; + var N; + var i; + + sh = getShape( x, false ); + st = getStrides( x, false ); + ord = getOrder( x ); + + o = strides2order( st ); + if ( o === 0 || o === 3 ) { + // Fallback to stated layout when unable to infer the underlying physical layout: + isrm = isRowMajorString( ord ); + } else { + isrm = ( o === 1 ); + } + N = sh.length; + + strides = []; + shape = []; + + d = normalizeIndex( dim, N ); + if ( d === -1 ) { + throw new RangeError( format( 'invalid argument. Specified dimension index is out-of-bounds. Must be on the interval: [-%u, %u]. Value: `%d`.', N+1, N, dim ) ); + } + if ( d === 0 ) { + // Prepend singleton dimension... + shape.push( 1 ); + if ( isrm ) { + strides.push( sh[ 0 ] * st[ 0 ] ); + } else { + strides.push( st[ 0 ] ); + } + // Copy remaining dimensions... + for ( i = 0; i < N; i++ ) { + shape.push( sh[ i ] ); + strides.push( st[ i ] ); + } + } else if ( d === N ) { + // Copy dimensions... + for ( i = 0; i < N; i++ ) { + shape.push( sh[ i ] ); + strides.push( st[ i ] ); + } + // Append singleton dimension... + shape.push( 1 ); + if ( isrm ) { + strides.push( st[ N-1 ] ); + } else { + strides.push( sh[ N-1 ] * st[ N-1 ] ); + } + } else { + // Insert a singleton dimension... + for ( i = 0; i < N+1; i++ ) { + if ( i === d ) { + shape.push( 1 ); + if ( isrm ) { + strides.push( st[ i-1 ] ); + } else { // ord === 'column-major' + strides.push( st[ i ] ); + } + } else if ( i < d ) { + shape.push( sh[ i ] ); + strides.push( st[ i ] ); + } else { // i > d + shape.push( sh[ i-1 ] ); + strides.push( st[ i-1 ] ); + } + } + } + return new x.constructor( getDType( x ), getData( x ), shape, strides, getOffset( x ), ord, { // eslint-disable-line max-len + 'readonly': !writable + }); +} + + +// EXPORTS // + +module.exports = insertDimension; diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/package.json b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/package.json new file mode 100644 index 000000000000..7f4897a9b09e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/package.json @@ -0,0 +1,70 @@ +{ + "name": "@stdlib/ndarray/base/insert-dimension", + "version": "0.0.0", + "description": "Insert a new dimension of size one at a specified dimension index of an input ndarray.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdtypes", + "types", + "base", + "ndarray", + "insert", + "expand", + "broadcast", + "reshape", + "singleton", + "multidimensional", + "array", + "utilities", + "utility", + "utils", + "util" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js new file mode 100644 index 000000000000..d033e33297ac --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js @@ -0,0 +1,483 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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 tape = require( 'tape' ); +var array = require( '@stdlib/ndarray/array' ); +var getShape = require( '@stdlib/ndarray/shape' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var getStrides = require( '@stdlib/ndarray/strides' ); +var ndims = require( '@stdlib/ndarray/ndims' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var isReadOnly = require( '@stdlib/ndarray/base/assert/is-read-only' ); +var insertDimension = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof insertDimension, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function throws an error if provided an invalid second argument', function test( t ) { + var values; + var x; + var i; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + values = [ + 10, + -10, + 99, + -99 + ]; + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + insertDimension( x, value, false ); + }; + } +}); + +tape( 'the function prepends singleton dimensions (1d)', function test( t ) { + var x; + var y; + + x = array( [ 1, 2, 3, 4 ] ); + + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 4 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, 0, true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 4 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (2d)', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, 0, true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (negative index)', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, -ndims( x )-1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, -ndims( x )-1, true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (1d)', function test( t ) { + var x; + var y; + + x = array( [ 1, 2, 3, 4 ] ); + + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 4, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, ndims( x ), true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 4, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (2d)', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, ndims( x ), true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (negative index)', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, -1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, ndims( x ), true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, 1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, 1, true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions (negative index)', function test( t ) { + var x; + var y; + + x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); + + y = insertDimension( x, -2, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), true, 'returns expected value' ); + + y = insertDimension( x, -2, true ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + t.strictEqual( isReadOnly( y ), false, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (base; row-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 4, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'row-major' ); + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (base; row-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, -ndims( x )-1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 4, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (base; column-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'column-major' ); + y = insertDimension( x, 0, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 4, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function prepends singleton dimensions (base; column-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, -ndims( x )-1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 1, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (base; row-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 1, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'row-major' ); + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 4 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (base; row-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, -1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 1, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (base; column-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 4 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'column-major' ); + y = insertDimension( x, ndims( x ), false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 1, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function appends singleton dimensions (base; column-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, -1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 4 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions (base; row-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, 1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'row-major' ); + y = insertDimension( x, 1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions (base; row-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); + y = insertDimension( x, -2, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions (base; column-major)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, 1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + // Transposed: + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 2, 1 ], 0, 'column-major' ); + y = insertDimension( x, 1, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 2, 2, 1 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); + +tape( 'the function inserts singleton dimensions (base; column-major; negative index)', function test( t ) { + var x; + var y; + + x = ndarray( 'generic', [ 1, 2, 3, 4 ], [ 2, 2 ], [ 1, 2 ], 0, 'column-major' ); + y = insertDimension( x, -2, false ); + + t.notEqual( y, x, 'returns expected value' ); + t.deepEqual( getShape( y ), [ 2, 1, 2 ], 'returns expected value' ); + t.deepEqual( getStrides( y ), [ 1, 2, 2 ], 'returns expected value' ); + t.strictEqual( getData( y ), getData( x ), 'returns expected value' ); + + t.end(); +}); From 7e154b57c4c947598506aedd9b037c2a6ebd57da Mon Sep 17 00:00:00 2001 From: headlessNode Date: Tue, 25 Aug 2026 10:16:13 +0500 Subject: [PATCH 2/2] fix: lint err --- .../@stdlib/ndarray/base/insert-dimension/README.md | 2 +- .../ndarray/base/insert-dimension/benchmark/benchmark.js | 2 +- .../ndarray/base/insert-dimension/benchmark/benchmark.ndims.js | 2 +- .../@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts | 2 +- .../@stdlib/ndarray/base/insert-dimension/docs/types/test.ts | 2 +- .../@stdlib/ndarray/base/insert-dimension/examples/index.js | 2 +- .../@stdlib/ndarray/base/insert-dimension/lib/index.js | 2 +- .../@stdlib/ndarray/base/insert-dimension/lib/main.js | 2 +- .../@stdlib/ndarray/base/insert-dimension/test/test.js | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md index 75c17d287ad2..85526fab375c 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/README.md @@ -2,7 +2,7 @@ @license Apache-2.0 -Copyright (c) 2022 The Stdlib Authors. +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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js index 20c769918e91..48bc45a57a84 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js index 1b9f85148381..90583ba910cb 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/benchmark/benchmark.ndims.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts index 971db873ed2b..ff652d5ae1e1 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/index.d.ts @@ -1,7 +1,7 @@ /* * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts index a179eeb043aa..b6a3294a18b2 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/docs/types/test.ts @@ -1,7 +1,7 @@ /* * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js index de266d605383..8de82ab09d32 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/examples/index.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js index 58fc5c032e52..3ff938cece4b 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/index.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js index 392b6adbbd50..88cf652c0534 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/lib/main.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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. diff --git a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js index d033e33297ac..6892a729ca98 100644 --- a/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js +++ b/lib/node_modules/@stdlib/ndarray/base/insert-dimension/test/test.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2022 The Stdlib Authors. +* 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.