diff --git a/lib/node_modules/@stdlib/ndarray/transpose/README.md b/lib/node_modules/@stdlib/ndarray/transpose/README.md new file mode 100644 index 000000000000..5683e4b92b13 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/README.md @@ -0,0 +1,130 @@ + + +# transpose + +> Return a **read-only** view of an input [`ndarray`][@stdlib/ndarray/ctor] in which the last two dimensions are transposed. + + + +
+ +
+ + + + + +
+ +## Usage + +```javascript +var transpose = require( '@stdlib/ndarray/transpose' ); +``` + +#### transpose( x ) + +Returns a read-only view of an input [`ndarray`][@stdlib/ndarray/ctor] in which the last two dimensions are transposed. + +```javascript +var array = require( '@stdlib/ndarray/array' ); + +var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] ); +// returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] + +var y = transpose( x ); +// returns [ [ 1.0, 4.0 ], [ 2.0, 5.0 ], [ 3.0, 6.0 ] ] +``` + +The function accepts the following arguments: + +- **x**: input [`ndarray`][@stdlib/ndarray/ctor]. + +
+ + + + + +
+ +## Notes + +- The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray. +- The input ndarray must have at least two dimensions. + +
+ + + + + +
+ +## Examples + + + +```javascript +var uniform = require( '@stdlib/random/uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var transpose = require( '@stdlib/ndarray/transpose' ); + +var x = uniform( [ 2, 3, 4 ], -10.0, 10.0 ); +console.log( ndarray2array( x ) ); + +var y = transpose( x ); +console.log( ndarray2array( y ) ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +
+ + + + + +
+ +[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor + + + + + +
+ + diff --git a/lib/node_modules/@stdlib/ndarray/transpose/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/transpose/benchmark/benchmark.js new file mode 100644 index 000000000000..0bf9b9fcd288 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/benchmark/benchmark.js @@ -0,0 +1,159 @@ +/** +* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); +var empty = require( '@stdlib/ndarray/empty' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var transpose = require( './../lib' ); + + +// MAIN // + +bench( format( '%s:ndims=2', pkg ), function benchmark( b ) { + var values; + var v; + var i; + + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + values = [ + empty( [ 2, 2 ], { 'dtype': 'float64' } ), + empty( [ 2, 2 ], { 'dtype': 'float32' } ), + empty( [ 2, 2 ], { 'dtype': 'int32' } ), + empty( [ 2, 2 ], { 'dtype': 'complex128' } ), + empty( [ 2, 2 ], { 'dtype': 'generic' } ) + ]; + + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = transpose( values[ i%values.length ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( !isndarrayLike( v ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( format( '%s:ndims=3', pkg ), function benchmark( b ) { + var values; + var v; + var i; + + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + values = [ + empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ), + empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ), + empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ), + empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ), + empty( [ 2, 2, 2 ], { 'dtype': 'generic' } ) + ]; + + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = transpose( values[ i%values.length ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( !isndarrayLike( v ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( format( '%s:ndims=4', pkg ), function benchmark( b ) { + var values; + var v; + var i; + + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + values = [ + empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ), + empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ), + empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ), + empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ), + empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } ) + ]; + + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = transpose( values[ i%values.length ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( !isndarrayLike( v ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( format( '%s:ndims=5', pkg ), function benchmark( b ) { + var values; + var v; + var i; + + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + values = [ + empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ), + empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ), + empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ), + empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ), + empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } ) + ]; + + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = transpose( values[ i%values.length ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( !isndarrayLike( v ) ) { + b.fail( 'should return an ndarray' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/transpose/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/transpose/docs/repl.txt new file mode 100644 index 000000000000..f38c2c89a723 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/docs/repl.txt @@ -0,0 +1,30 @@ + +{{alias}}( x ) + Returns a read-only view of an input ndarray in which the last two + dimensions are transposed. + + The function operates on a stack of matrices, transposing the last two + dimensions of the input ndarray. + + The input ndarray must have at least two dimensions. + + Parameters + ---------- + x: ndarray + Input array. + + Returns + ------- + out: ndarray + Output array view. + + Examples + -------- + > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] ) + [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] + > var y = {{alias}}( x ) + [ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ] + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/ndarray/transpose/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/transpose/docs/types/index.d.ts new file mode 100644 index 000000000000..ea924c23bee9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/docs/types/index.d.ts @@ -0,0 +1,50 @@ +/* +* @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 { ndarray } from '@stdlib/types/ndarray'; + +/** +* Returns a read-only view of an input ndarray in which the last two dimensions are transposed. +* +* ## Notes +* +* - The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray. +* - The input ndarray must have at least two dimensions. +* +* @param x - input array +* @returns output array +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* +* var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] ); +* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] +* +* var y = transpose( x ); +* // returns [ [ 1.0, 4.0 ], [ 2.0, 5.0 ], [ 3.0, 6.0 ] ] +*/ +declare function transpose( x: T ): T; + + +// EXPORTS // + +export = transpose; diff --git a/lib/node_modules/@stdlib/ndarray/transpose/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/transpose/docs/types/test.ts new file mode 100644 index 000000000000..bc161b4b7e6f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/docs/types/test.ts @@ -0,0 +1,52 @@ +/* +* @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 transpose = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + transpose( zeros( [ 2, 2 ] ) ); // $ExpectType float64ndarray + transpose( zeros( [ 2, 2 ], { 'dtype': 'float32' } ) ); // $ExpectType float32ndarray + transpose( zeros( [ 2, 2 ], { 'dtype': 'int32' } ) ); // $ExpectType int32ndarray + transpose( zeros( [ 2, 2 ], { 'dtype': 'complex128' } ) ); // $ExpectType complex128ndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an ndarray... +{ + transpose( '10' ); // $ExpectError + transpose( 10 ); // $ExpectError + transpose( false ); // $ExpectError + transpose( true ); // $ExpectError + transpose( null ); // $ExpectError + transpose( void 0 ); // $ExpectError + transpose( [] ); // $ExpectError + transpose( {} ); // $ExpectError + transpose( ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + transpose(); // $ExpectError + transpose( zeros( [ 2, 2 ] ), {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/ndarray/transpose/examples/index.js b/lib/node_modules/@stdlib/ndarray/transpose/examples/index.js new file mode 100644 index 000000000000..26737e925aeb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/examples/index.js @@ -0,0 +1,29 @@ +/** +* @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 uniform = require( '@stdlib/random/uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var transpose = require( './../lib' ); + +var x = uniform( [ 2, 3, 4 ], -10.0, 10.0 ); +console.log( ndarray2array( x ) ); + +var y = transpose( x ); +console.log( ndarray2array( y ) ); diff --git a/lib/node_modules/@stdlib/ndarray/transpose/lib/index.js b/lib/node_modules/@stdlib/ndarray/transpose/lib/index.js new file mode 100644 index 000000000000..02a8d9cfc8f4 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/lib/index.js @@ -0,0 +1,44 @@ +/** +* @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'; + +/** +* Return a read-only view of an input ndarray in which the last two dimensions are transposed. +* +* @module @stdlib/ndarray/transpose +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* var transpose = require( '@stdlib/ndarray/transpose' ); +* +* var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] ); +* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] +* +* var y = transpose( x ); +* // returns [ [ 1.0, 4.0 ], [ 2.0, 5.0 ], [ 3.0, 6.0 ] ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/ndarray/transpose/lib/main.js b/lib/node_modules/@stdlib/ndarray/transpose/lib/main.js new file mode 100644 index 000000000000..8e4cf665cf9f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/lib/main.js @@ -0,0 +1,66 @@ +/** +* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); +var base = require( '@stdlib/ndarray/base/transpose' ); +var ndims = require( '@stdlib/ndarray/base/ndims' ); +var format = require( '@stdlib/string/format' ); + + +// MAIN // + +/** +* Returns a read-only view of an input ndarray in which the last two dimensions are transposed. +* +* ## Notes +* +* - The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray. +* - The input ndarray must have at least two dimensions. +* +* @param {ndarray} x - input array +* @throws {TypeError} must provide an ndarray +* @throws {RangeError} input ndarray must have at least two dimensions +* @returns {ndarray} ndarray view +* +* @example +* var array = require( '@stdlib/ndarray/array' ); +* +* var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] ); +* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ] +* +* var y = transpose( x ); +* // returns [ [ 1.0, 4.0 ], [ 2.0, 5.0 ], [ 3.0, 6.0 ] ] +*/ +function transpose( x ) { + if ( !isndarrayLike( x ) ) { + throw new TypeError( format( 'invalid argument. Must provide an ndarray. Value: `%s`.', x ) ); + } + if ( ndims( x ) < 2 ) { + throw new RangeError( format( 'invalid argument. Input ndarray must have at least two dimensions. Number of dimensions: `%u`.', ndims( x ) ) ); + } + return base( x, false ); +} + + +// EXPORTS // + +module.exports = transpose; diff --git a/lib/node_modules/@stdlib/ndarray/transpose/package.json b/lib/node_modules/@stdlib/ndarray/transpose/package.json new file mode 100644 index 000000000000..66a431e0c0c5 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/package.json @@ -0,0 +1,66 @@ +{ + "name": "@stdlib/ndarray/transpose", + "version": "0.0.0", + "description": "Return a read-only view of an input ndarray in which the last two dimensions are transposed.", + "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", + "data", + "structure", + "ndarray", + "matrix", + "view", + "transpose", + "stack", + "permute", + "swap", + "swapaxes" + ] +} diff --git a/lib/node_modules/@stdlib/ndarray/transpose/test/test.js b/lib/node_modules/@stdlib/ndarray/transpose/test/test.js new file mode 100644 index 000000000000..f49530a61d80 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/transpose/test/test.js @@ -0,0 +1,328 @@ +/** +* @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 tape = require( 'tape' ); +var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); +var isReadOnly = require( '@stdlib/ndarray/base/assert/is-read-only' ); +var isEqualDataType = require( '@stdlib/ndarray/base/assert/is-equal-data-type' ); +var zeroTo = require( '@stdlib/array/zero-to' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var array = require( '@stdlib/ndarray/array' ); +var getShape = require( '@stdlib/ndarray/shape' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var getDType = require( '@stdlib/ndarray/dtype' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var transpose = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof transpose, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function throws an error if provided a first argument which is not an ndarray', function test( t ) { + var values; + var i; + + values = [ + '5', + 5, + NaN, + true, + false, + null, + void 0, + [], + {}, + function noop() {} + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + transpose( value ); + }; + } +}); + +tape( 'the function throws an error if provided an input ndarray having fewer than two dimensions', function test( t ) { + var values; + var i; + + values = [ + scalar2ndarray( 5.0 ), + array( [ 1.0, 2.0, 3.0 ] ) + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided an ndarray having ' + values[ i ].ndims + ' dimensions' ); + } + t.end(); + + function badValue( x ) { + return function badValue() { + transpose( x ); + }; + } +}); + +tape( 'the function returns a read-only view of an input ndarray in which the last two dimensions are transposed (ndims=2)', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 6, 'float64' ); + sh = [ 2, 3 ]; + st = [ 3, 1 ]; + o = 0; + ord = 'row-major'; + + x = new ndarray( 'float64', buf, sh, st, o, ord ); + + actual = transpose( x ); + expected = [ + [ 0, 3 ], + [ 1, 4 ], + [ 2, 5 ] + ]; + + t.notEqual( actual, x, 'returns expected value' ); + t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' ); + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a read-only view of an input ndarray in which the last two dimensions are transposed (ndims=3)', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 12, 'float64' ); + sh = [ 2, 2, 3 ]; + st = [ 6, 3, 1 ]; + o = 0; + ord = 'row-major'; + + x = new ndarray( 'float64', buf, sh, st, o, ord ); + + actual = transpose( x ); + expected = [ + [ + [ 0, 3 ], + [ 1, 4 ], + [ 2, 5 ] + ], + [ + [ 6, 9 ], + [ 7, 10 ], + [ 8, 11 ] + ] + ]; + + t.notEqual( actual, x, 'returns expected value' ); + t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' ); + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 2, 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a read-only view of an input ndarray in which the last two dimensions are transposed (ndims=4)', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 24, 'float64' ); + sh = [ 2, 2, 2, 3 ]; + st = [ 12, 6, 3, 1 ]; + o = 0; + ord = 'row-major'; + + x = new ndarray( 'float64', buf, sh, st, o, ord ); + + actual = transpose( x ); + expected = [ + [ + [ + [ 0, 3 ], + [ 1, 4 ], + [ 2, 5 ] + ], + [ + [ 6, 9 ], + [ 7, 10 ], + [ 8, 11 ] + ] + ], + [ + [ + [ 12, 15 ], + [ 13, 16 ], + [ 14, 17 ] + ], + [ + [ 18, 21 ], + [ 19, 22 ], + [ 20, 23 ] + ] + ] + ]; + + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 2, 2, 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports column-major input arrays', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 6, 'float64' ); + sh = [ 2, 3 ]; + st = [ 1, 2 ]; + o = 0; + ord = 'column-major'; + + x = new ndarray( 'float64', buf, sh, st, o, ord ); + + // In column-major with strides [ 1, 2 ], x = [ [ 0, 2, 4 ], [ 1, 3, 5 ] ]: + actual = transpose( x ); + expected = [ + [ 0, 1 ], + [ 2, 3 ], + [ 4, 5 ] + ]; + + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function preserves the input data type (dtype=int32)', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 6, 'int32' ); + sh = [ 2, 3 ]; + st = [ 3, 1 ]; + o = 0; + ord = 'row-major'; + + x = new ndarray( 'int32', buf, sh, st, o, ord ); + + actual = transpose( x ); + expected = [ + [ 0, 3 ], + [ 1, 4 ], + [ 2, 5 ] + ]; + + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.strictEqual( isEqualDataType( getDType( actual ), getDType( x ) ), true, 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function preserves the input array offset', function test( t ) { + var expected; + var actual; + var buf; + var ord; + var sh; + var st; + var o; + var x; + + buf = zeroTo( 12, 'float64' ); + sh = [ 2, 3 ]; + st = [ 3, 1 ]; + o = 6; + ord = 'row-major'; + + x = new ndarray( 'float64', buf, sh, st, o, ord ); + + actual = transpose( x ); + expected = [ + [ 6, 9 ], + [ 7, 10 ], + [ 8, 11 ] + ]; + + t.strictEqual( isReadOnly( actual ), true, 'returns expected value' ); + t.strictEqual( getData( actual ), getData( x ), 'returns expected value' ); + t.deepEqual( getShape( actual ), [ 3, 2 ], 'returns expected value' ); + t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' ); + + t.end(); +});