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feat: add ndarray/base/rot180
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feat: add ndarray/base/rot180
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| @@ -0,0 +1,143 @@ | ||
| <!-- | ||
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| @license Apache-2.0 | ||
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| Copyright (c) 2026 The Stdlib Authors. | ||
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| 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 | ||
|
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| http://www.apache.org/licenses/LICENSE-2.0 | ||
|
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| 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. | ||
|
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| --> | ||
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| # rot180 | ||
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| > Rotate an ndarray 180 degrees in a specified plane. | ||
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| <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> | ||
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| <section class="intro"> | ||
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| </section> | ||
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| <!-- /.intro --> | ||
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| <!-- Package usage documentation. --> | ||
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| <section class="usage"> | ||
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| ## Usage | ||
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| ```javascript | ||
| var rot180 = require( '@stdlib/ndarray/base/rot180' ); | ||
| ``` | ||
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| #### rot180( x, dims, writable ) | ||
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| Rotates an ndarray 180 degrees in a specified plane. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
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| var x = array( [ [ 1, 2 ], [ 3, 4 ] ] ); | ||
| // returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ] | ||
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| var y = rot180( x, [ 0, 1 ], false ); | ||
| // returns <ndarray>[ [ 4, 3 ], [ 2, 1 ] ] | ||
| ``` | ||
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| The function accepts the following arguments: | ||
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| - **x**: input ndarray. | ||
| - **dims**: dimension indices defining the plane of rotation. Must contain exactly two unique dimension indices. If a dimension index is provided as an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`. | ||
| - **writable**: boolean indicating whether a returned ndarray should be writable. | ||
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| </section> | ||
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| <!-- /.usage --> | ||
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| <!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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| <section class="notes"> | ||
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| ## Notes | ||
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| - Each provided dimension index must reside on the interval `[-ndims, ndims-1]`. | ||
| - The `writable` parameter **only** applies to ndarray constructors supporting **read-only** instances. | ||
| - The returned ndarray is a **view** of the input ndarray. Accordingly, writing to the original ndarray will **mutate** the returned ndarray and vice versa. | ||
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| </section> | ||
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| <!-- /.notes --> | ||
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| <!-- Package usage examples. --> | ||
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| <section class="examples"> | ||
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| ## Examples | ||
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| <!-- eslint no-undef: "error" --> | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var rot180 = require( '@stdlib/ndarray/base/rot180' ); | ||
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| // Create a 2x3 matrix: | ||
| var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] ); | ||
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| // Rotate 180 degrees in the (0,1) plane: | ||
| var y = rot180( x, [ 0, 1 ], false ); | ||
| var arr = ndarray2array( y ); | ||
| // returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ] | ||
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| // Supports negative dimension indices: | ||
| y = rot180( x, [ -2, -1 ], false ); | ||
| arr = ndarray2array( y ); | ||
| // returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ] | ||
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| // Rotating twice returns the original arrangement: | ||
| y = rot180( rot180( x, [ 0, 1 ], false ), [ 0, 1 ], false ); | ||
| arr = ndarray2array( y ); | ||
| // returns [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] | ||
| ``` | ||
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| </section> | ||
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| <!-- /.examples --> | ||
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| <!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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| <section class="references"> | ||
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| </section> | ||
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| <!-- /.references --> | ||
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| <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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| <section class="related"> | ||
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| </section> | ||
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| <!-- /.related --> | ||
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| <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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| <section class="links"> | ||
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| <!-- <related-links> --> | ||
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| <!-- </related-links> --> | ||
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| </section> | ||
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| <!-- /.links --> | ||
204 changes: 204 additions & 0 deletions
204
lib/node_modules/@stdlib/ndarray/base/rot180/benchmark/benchmark.js
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| /** | ||
| * @license Apache-2.0 | ||
| * | ||
| * Copyright (c) 2026 The Stdlib Authors. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| 'use strict'; | ||
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| // MODULES // | ||
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| var bench = require( '@stdlib/bench' ); | ||
| var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); | ||
| var baseEmpty = require( '@stdlib/ndarray/base/empty' ); | ||
| var empty = require( '@stdlib/ndarray/empty' ); | ||
| var format = require( '@stdlib/string/format' ); | ||
| var pkg = require( './../package.json' ).name; | ||
| var rot180 = require( './../lib' ); | ||
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| // MAIN // | ||
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| bench( format( '%s::base:ndims=2', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
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| values = [ | ||
| baseEmpty( 'float64', [ 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'float32', [ 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'int32', [ 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'generic', [ 2, 2 ], 'row-major' ) | ||
| ]; | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 0, 1 ], false ); | ||
| 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(); | ||
| }); | ||
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| bench( format( '%s::non-base:ndims=2', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
|
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| /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ | ||
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| 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' } ) | ||
| ]; | ||
|
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| /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ | ||
|
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 0, 1 ], false ); | ||
| 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(); | ||
| }); | ||
|
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| bench( format( '%s::base:ndims=3,dims=[1,2]', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
|
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| values = [ | ||
| baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' ) | ||
| ]; | ||
|
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 1, 2 ], false ); | ||
| 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(); | ||
| }); | ||
|
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| bench( format( '%s::base:ndims=3,dims=[0,2]', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
|
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| values = [ | ||
| baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' ) | ||
| ]; | ||
|
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 0, 2 ], false ); | ||
| 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(); | ||
| }); | ||
|
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| bench( format( '%s::base:ndims=4', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
|
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| values = [ | ||
| baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' ) | ||
| ]; | ||
|
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 2, 3 ], false ); | ||
| 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(); | ||
| }); | ||
|
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| bench( format( '%s::base:ndims=5', pkg ), function benchmark( b ) { | ||
| var values; | ||
| var v; | ||
| var i; | ||
|
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| values = [ | ||
| baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ), | ||
| baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' ) | ||
| ]; | ||
|
|
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v = rot180( values[ i%values.length ], [ 3, 4 ], false ); | ||
| 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(); | ||
| }); |
40 changes: 40 additions & 0 deletions
40
lib/node_modules/@stdlib/ndarray/base/rot180/docs/repl.txt
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,40 @@ | ||
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| {{alias}}( x, dims, writable ) | ||
| Rotates an ndarray 180 degrees in a specified plane. | ||
|
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| Each provided dimension index must reside on the interval [-ndims, ndims-1]. | ||
|
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| The returned ndarray is always a *view* of the input ndarray. Accordingly, | ||
| writing to the original ndarray will mutate the returned ndarray and vice | ||
| versa. | ||
|
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| Parameters | ||
| ---------- | ||
| x: ndarray | ||
| Input array. | ||
|
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| dims: ArrayLikeObject<integer> | ||
| Dimension indices defining the plane of rotation. Must contain exactly | ||
| two unique dimension indices. If less than zero, an index is resolved | ||
| relative to the last dimension, with the last dimension corresponding to | ||
| the value `-1`. | ||
|
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| writable: boolean | ||
| Boolean indicating whether a returned ndarray should be writable. This | ||
| parameter only applies to ndarray constructors which support read-only | ||
| instances. | ||
|
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| Returns | ||
| ------- | ||
| out: ndarray | ||
| Output array view. | ||
|
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| Examples | ||
| -------- | ||
| > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] ) | ||
| <ndarray>[ [ 1, 2 ], [ 3, 4 ] ] | ||
| > var y = {{alias}}( x, [ 0, 1 ], false ) | ||
| <ndarray>[ [ 4, 3 ], [ 2, 1 ] ] | ||
|
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| See Also | ||
| -------- |
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