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test.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2023 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 object-curly-newline, max-len */
'use strict';
// MODULES //
var tape = require( 'tape' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var isComplexDataType = require( '@stdlib/ndarray/base/assert/is-complex-floating-point-data-type' );
var MultiSlice = require( '@stdlib/slice/multi' );
var Slice = require( '@stdlib/slice/ctor' );
var Complex64 = require( '@stdlib/complex/float32' );
var Complex128 = require( '@stdlib/complex/float64' );
var real = require( '@stdlib/complex/real' );
var imag = require( '@stdlib/complex/imag' );
var zeroTo = require( '@stdlib/array/base/zero-to' );
var azeros = require( '@stdlib/array/zeros' );
var typedarray = require( '@stdlib/array/typed' );
var array = require( '@stdlib/ndarray/array' );
var zeros = require( '@stdlib/ndarray/zeros' );
var numel = require( '@stdlib/ndarray/base/numel' );
var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var baseCtor = require( '@stdlib/ndarray/base/ctor' );
var ctor = require( '@stdlib/ndarray/ctor' );
var sliceAssign = require( './../lib' );
// TESTS //
tape( 'main export is a function', function test( t ) {
t.ok( true, __filename );
t.strictEqual( typeof sliceAssign, 'function', 'main export is a function' );
t.end();
});
tape( 'the function throws an error if the number of slice dimensions does not match the number of output array dimensions (strict=false)', function test( t ) {
var values;
var slices;
var x;
var i;
x = zeros( [] );
values = [
zeros( [] ),
zeros( [ 1 ] ),
zeros( [ 1, 1 ] ),
zeros( [ 1, 1, 1 ] ),
zeros( [ 1, 1, 1, 1 ] )
];
slices = [
new MultiSlice( null ),
new MultiSlice( null, null, null ),
new MultiSlice( null ),
new MultiSlice( null, null ),
new MultiSlice( null, null, null )
];
for ( i = 0; i < values.length; i++ ) {
t.throws( badValues( values[ i ], slices[ i ] ), RangeError, 'throws an error when provided ' + slices[ i ].toString() );
}
t.end();
function badValues( y, s ) {
return function badValues() {
sliceAssign( x, y, s, false );
};
}
});
tape( 'the function throws an error if the number of slice dimensions does not match the number of output array dimensions (strict=true)', function test( t ) {
var values;
var slices;
var x;
var i;
x = zeros( [] );
values = [
zeros( [] ),
zeros( [ 1 ] ),
zeros( [ 1, 1 ] ),
zeros( [ 1, 1, 1 ] ),
zeros( [ 1, 1, 1, 1 ] )
];
slices = [
new MultiSlice( null ),
new MultiSlice( null, null, null ),
new MultiSlice( null ),
new MultiSlice( null, null ),
new MultiSlice( null, null, null )
];
for ( i = 0; i < values.length; i++ ) {
t.throws( badValues( values[ i ], slices[ i ] ), RangeError, 'throws an error when provided ' + slices[ i ].toString() );
}
t.end();
function badValues( y, s ) {
return function badValues() {
sliceAssign( x, y, s, true );
};
}
});
tape( 'in strict mode, the function throws an error when a slice exceeds output array bounds', function test( t ) {
var values;
var slices;
var x;
var s;
var i;
x = zeros( [] );
values = [
zeros( [ 1 ] ),
zeros( [ 1, 1 ] ),
zeros( [ 1, 1, 1 ] ),
zeros( [ 1, 1, 1, 1 ] )
];
s = new Slice( 10, 20, 1 );
slices = [
new MultiSlice( 10 ),
new MultiSlice( null, s ),
new MultiSlice( s, null, null ),
new MultiSlice( s, s, null, null )
];
for ( i = 0; i < values.length; i++ ) {
t.throws( badValues( values[ i ], slices[ i ] ), RangeError, 'throws an error when provided ' + slices[ i ].toString() );
}
t.end();
function badValues( y, s ) {
return function badValues() {
sliceAssign( x, y, s, true );
};
}
});
tape( 'in non-strict mode, the function does not set element values when a slice exceeds output array bounds', function test( t ) {
var actual;
var values;
var slices;
var z;
var x;
var s;
var v;
var i;
x = scalar2ndarray( 3, 'uint8', 'row-major' );
values = [
zeros( [ 1 ], { 'dtype': 'float64' } ),
zeros( [ 1, 1 ], { 'dtype': 'float32' } ),
zeros( [ 1, 1, 1 ], { 'dtype': 'int32' } ),
zeros( [ 1, 1, 1, 1 ], { 'dtype': 'uint32' } ),
zeros( [ 1, 1, 1, 1, 1 ], { 'dtype': 'complex128' } )
];
s = new Slice( 10, 20, 1 );
slices = [
new MultiSlice( 10 ),
new MultiSlice( null, s ),
new MultiSlice( s, null, null ),
new MultiSlice( s, s, null, null ),
new MultiSlice( 0, null, null, null, 10 )
];
for ( i = 0; i < values.length; i++ ) {
v = values[ i ];
actual = sliceAssign( x, v, slices[ i ], false );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( numel( actual.shape ), numel( v.shape ), 'returns expected value' );
t.strictEqual( actual.dtype, v.dtype, 'returns expected value' );
z = actual.iget( 0 );
if ( v.dtype === 'complex128' ) {
t.strictEqual( real( z ), 0, 'returns expected value' );
t.strictEqual( imag( z ), 0, 'returns expected value' );
} else {
t.strictEqual( z, 0, 'returns expected value' );
}
}
t.end();
});
tape( 'the function throws an error if provided an input array which is not broadcast compatible with an output array view', function test( t ) {
var values;
var slices;
var x;
var i;
x = [
zeros( [ 10 ] ),
zeros( [ 10, 10 ] ),
zeros( [ 10, 10, 10 ] ),
zeros( [ 10, 10 ] )
];
values = [
zeros( [ 2 ] ),
zeros( [ 2, 2 ] ),
zeros( [ 2, 2, 2 ] ),
zeros( [ 2, 2, 2, 2 ] )
];
slices = [
new MultiSlice( null ),
new MultiSlice( null, null ),
new MultiSlice( null, null, null ),
new MultiSlice( 0, 0, null, null )
];
for ( i = 0; i < values.length; i++ ) {
t.throws( badValues( x[ i ], values[ i ], slices[ i ] ), Error, 'throws an error when provided ' + slices[ i ].toString() );
}
t.end();
function badValues( x, y, s ) {
return function badValues() {
sliceAssign( x, y, s, true );
};
}
});
tape( 'the function throws an error if provided an input array having a data type which cannot be safely cast to the data type of the output array', function test( t ) {
var values;
var slices;
var x;
var i;
x = [
zeros( [ 2 ], { 'dtype': 'complex128' } ),
zeros( [ 2, 2 ], { 'dtype': 'int32' } ),
zeros( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
zeros( [ 2, 2, 2, 2 ], { 'dtype': 'uint8' } )
];
values = [
zeros( [ 2 ], { 'dtype': 'float64' } ),
zeros( [ 2, 2 ], { 'dtype': 'float32' } ),
zeros( [ 2, 2, 2 ], { 'dtype': 'uint32' } ),
zeros( [ 2, 2, 2, 2 ], { 'dtype': 'int8' } )
];
slices = [
new MultiSlice( null ),
new MultiSlice( null, null ),
new MultiSlice( null, null, null ),
new MultiSlice( null, null, null, null )
];
for ( i = 0; i < values.length; i++ ) {
t.throws( badValues( x[ i ], values[ i ], slices[ i ] ), TypeError, 'throws an error when provided ' + slices[ i ].toString() );
}
t.end();
function badValues( x, y, s ) {
return function badValues() {
sliceAssign( x, y, s, true );
};
}
});
tape( 'the function supports assigning to a zero-dimensional array view (base)', function test( t ) {
var actual;
var x;
var y;
var s;
x = scalar2ndarray( 3.14, 'float64', 'row-major' );
y = scalar2ndarray( 0.0, x.dtype, x.order );
s = new MultiSlice();
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get(), 3.14, 'returns expected value' );
t.end();
});
tape( 'the function supports assigning to a zero-dimensional array view (base, offset)', function test( t ) {
var actual;
var x;
var y;
var s;
x = new baseCtor( 'float64', typedarray( zeroTo( 4 ), 'float64' ), [], [ 0 ], 3, 'row-major' );
y = new baseCtor( x.dtype, typedarray( zeroTo( 10 ), x.dtype ), [], [ 0 ], 7, x.order );
s = new MultiSlice();
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get(), 3, 'returns expected value' );
t.end();
});
tape( 'the function supports assigning to a zero-dimensional array view (non-base, offset)', function test( t ) {
var actual;
var x;
var y;
var s;
x = new ctor( 'float64', typedarray( zeroTo( 4 ), 'float64' ), [], [ 0 ], 3, 'row-major' );
y = new ctor( x.dtype, typedarray( zeroTo( 10 ), x.dtype ), [], [ 0 ], 7, x.order );
s = new MultiSlice();
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get(), 3, 'returns expected value' );
t.end();
});
tape( 'if all output array dimensions are reduced, the function supports assigning to a zero-dimensional array view (non-base)', function test( t ) {
var expected;
var actual;
var values;
var slices;
var idx;
var x;
var y;
var s;
var i;
x = [
scalar2ndarray( 100, 'float64', 'row-major' ),
scalar2ndarray( 50, 'float32', 'row-major' ),
scalar2ndarray( 200, 'int32', 'row-major' ),
scalar2ndarray( 300, 'uint32', 'row-major' )
];
values = [
array( typedarray( zeroTo( 4 ), 'float64' ), {
'shape': [ 2, 2 ],
'dtype': 'float64'
}),
array( typedarray( zeroTo( 8 ), 'float32' ), {
'shape': [ 2, 2, 2 ],
'dtype': 'float32'
}),
array( typedarray( zeroTo( 2 ), 'int32' ), {
'shape': [ 2 ],
'dtype': 'int32'
}),
array( typedarray( zeroTo( 16 ), 'uint32' ), {
'shape': [ 2, 2, 2, 2 ],
'dtype': 'uint32'
})
];
idx = [
[ 0, 1 ],
[ 0, 1, 0 ],
[ 0 ],
[ 0, 1, 0, 1 ]
];
slices = [
MultiSlice.apply( null, idx[ 0 ] ),
MultiSlice.apply( null, idx[ 1 ] ),
MultiSlice.apply( null, idx[ 2 ] ),
MultiSlice.apply( null, idx[ 3 ] )
];
expected = [
100,
50,
200,
300
];
for ( i = 0; i < values.length; i++ ) {
y = values[ i ];
s = slices[ i ];
actual = sliceAssign( x[ i ], y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get.apply( actual, idx[ i ] ), expected[ i ], 'returns expected value' );
}
t.end();
});
tape( 'if all output array dimensions are reduced, the function supports assigning to a zero-dimensional array view (non-base, offset)', function test( t ) {
var actual;
var buf;
var ord;
var sh;
var st;
var dt;
var o;
var x;
var y;
var s;
ord = 'row-major';
dt = 'float64';
buf = typedarray( zeroTo( 30 ), dt );
sh = [ 6 ];
st = [ 2 ];
o = 5;
y = new ctor( dt, buf, sh, st, o, ord );
s = new MultiSlice( 1 );
x = scalar2ndarray( 3.14, dt, ord );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get( 1 ), 3.14, 'returns expected value' );
sh = [ 3, 3 ];
st = [ 6, 2 ];
o = 10;
y = new ctor( dt, buf, sh, st, o, ord );
s = new MultiSlice( 0, 1 );
x = scalar2ndarray( 6.28, dt, ord );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get( 0, 1 ), 6.28, 'returns expected value' );
sh = [ 2, 2, 3 ];
st = [ 12, 6, 2 ];
o = 3;
y = new ctor( dt, buf, sh, st, o, ord );
s = new MultiSlice( 1, 1, 2 );
x = scalar2ndarray( 9.52, dt, ord );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get( 1, 1, 2 ), 9.52, 'returns expected value' );
sh = [ 2, 2, 3 ];
st = [ -12, -6, -2 ];
o = 25;
y = new ctor( dt, buf, sh, st, o, ord );
s = new MultiSlice( 1, 1, 2 );
x = scalar2ndarray( -1.0, dt, ord );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
t.strictEqual( actual.get( 1, 1, 2 ), -1.0, 'returns expected value' );
t.end();
});
tape( 'the function assigns input array element values to corresponding elements in an output array view (ndims=1)', function test( t ) {
var expected;
var actual;
var xbuf;
var ybuf;
var x;
var y;
var s;
xbuf = typedarray( zeroTo( 30 ), 'float64' );
// Full slice:
x = new ctor( 'float64', xbuf, [ 6 ], [ 2 ], 4, 'row-major' ); // [ 4, 6, 8, 10, 12, 14 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 6 ], [ 2 ], 4, 'row-major' );
s = new MultiSlice( null );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [ 4, 6, 8, 10, 12, 14 ];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element:
x = new ctor( 'float64', xbuf, [ 3 ], [ 4 ], 6, 'row-major' ); // [ 6, 10, 14 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 6 ], [ 2 ], 4, 'row-major' );
s = new MultiSlice( new Slice( null, null, -2 ) );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [ 0, 14, 0, 10, 0, 6 ];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element, starting from second-to-last element:
x = new ctor( 'float64', xbuf, [ 3 ], [ 4 ], 4, 'row-major' ); // [ 4, 8, 12 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 6 ], [ 2 ], 4, 'row-major' );
s = new MultiSlice( new Slice( 4, null, -2 ) );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [ 12, 0, 8, 0, 4, 0 ];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Skip every three elements, starting from second element:
x = new ctor( 'float64', xbuf, [ 2 ], [ 6 ], 6, 'row-major' ); // [ 6, 12 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 6 ], [ 2 ], 4, 'row-major' );
s = new MultiSlice( new Slice( 1, null, 3 ) );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [ 0, 6, 0, 0, 12, 0 ];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Set a sub-array:
x = new ctor( 'float64', xbuf, [ 3 ], [ 2 ], 8, 'row-major' ); // [ 8, 10, 12 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 6 ], [ 2 ], 4, 'row-major' );
s = new MultiSlice( new Slice( 4, 1, -1 ) );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [ 0, 0, 12, 10, 8, 0 ];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
t.end();
});
tape( 'the function assigns input array element values to corresponding elements in an output array view (ndims=2)', function test( t ) {
var expected;
var actual;
var xbuf;
var ybuf;
var s0;
var s1;
var x;
var y;
var s;
xbuf = typedarray( zeroTo( 30 ), 'float64' );
// Full slice:
x = new ctor( 'float64', xbuf, [ 4, 3 ], [ 6, 2 ], 4, 'row-major' ); // [ [ 4, 6, 8 ], [ 10, 12, 14 ], [ 16, 18, 20 ], [ 22, 24, 26 ] ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 4, 'row-major' );
s = new MultiSlice( null, null );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 4, 6, 8 ],
[ 10, 12, 14 ],
[ 16, 18, 20 ],
[ 22, 24, 26 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element:
x = new ctor( 'float64', xbuf, [ 2, 2 ], [ 12, 4 ], 10, 'row-major' ); // [ [ 10, 14 ], [ 22, 26 ] ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 4, 'row-major' );
s0 = new Slice( null, null, -2 );
s1 = new Slice( null, null, -2 );
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 0, 0 ],
[ 26, 0, 22 ],
[ 0, 0, 0 ],
[ 14, 0, 10 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other row, starting from second-to-last row:
x = new ctor( 'float64', xbuf, [ 2, 2 ], [ 12, 2 ], 4, 'row-major' ); // [ [ 4, 6 ], [ 16, 18 ] ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 4, 'row-major' );
s0 = new Slice( 2, null, -2 );
s1 = new Slice( 1, null, -1 );
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 18, 16, 0 ],
[ 0, 0, 0 ],
[ 6, 4, 0 ],
[ 0, 0, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Set a sub-array:
x = new ctor( 'float64', xbuf, [ 2, 2 ], [ 6, 2 ], 10, 'row-major' ); // [ [ 10, 12 ], [ 16, 18 ] ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 4, 'row-major' );
s0 = new Slice( 2, 0, -1 );
s1 = new Slice( 0, 2, 1 );
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 0, 0 ],
[ 16, 18, 0 ],
[ 10, 12, 0 ],
[ 0, 0, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
t.end();
});
tape( 'the function assigns input array element values to corresponding elements in an output array view (ndims=2, partial reduction)', function test( t ) {
var expected;
var actual;
var xbuf;
var ybuf;
var s0;
var s1;
var x;
var y;
var s;
xbuf = typedarray( zeroTo( 30 ), 'float64' );
// Second column:
x = new ctor( 'float64', xbuf, [ 4 ], [ 6 ], 7, 'row-major' ); // [ 7, 13, 19, 25 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 5, 'row-major' );
s = new MultiSlice( null, 1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 7, 0 ],
[ 0, 13, 0 ],
[ 0, 19, 0 ],
[ 0, 25, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element:
x = new ctor( 'float64', xbuf, [ 2 ], [ 4 ], 11, 'row-major' ); // [ 11, 15 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 5, 'row-major' );
s0 = 1;
s1 = new Slice( null, null, -2 );
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 0, 0 ],
[ 15, 0, 11 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element, starting from second-to-last element:
x = new ctor( 'float64', xbuf, [ 2 ], [ 12 ], 9, 'row-major' ); // [ 9, 21 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 5, 'row-major' );
s0 = new Slice( 2, null, -2 );
s1 = 2;
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 0, 21 ],
[ 0, 0, 0 ],
[ 0, 0, 9 ],
[ 0, 0, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Set part of a row:
x = new ctor( 'float64', xbuf, [ 2 ], [ 2 ], 11, 'row-major' ); // [ 11, 13 ]
ybuf = azeros( 30, x.dtype );
y = new ctor( x.dtype, ybuf, [ 4, 3 ], [ 6, 2 ], 5, 'row-major' );
s0 = 1;
s1 = new Slice( 0, 2, 1 );
s = new MultiSlice( s0, s1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[ 0, 0, 0 ],
[ 11, 13, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
t.end();
});
tape( 'the function assigns input array element values to corresponding elements in an output array view (ndims=3)', function test( t ) {
var expected;
var actual;
var xbuf;
var ybuf;
var s0;
var s1;
var s2;
var x;
var y;
var s;
xbuf = typedarray( zeroTo( 100 ), 'float64' );
// Full slice:
x = new ctor( 'float64', xbuf, [ 2, 4, 3 ], [ 24, 6, 2 ], 10, 'row-major' ); // [ [ [ 10, 12, 14 ], [ 16, 18, 20 ], [ 22, 24, 26 ], [ 28, 30, 32 ] ], [ [ 34, 36, 38 ], [ 40, 42, 44 ], [ 46, 48, 50 ], [ 52, 54, 56 ] ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ 24, 6, 2 ], 4, 'row-major' );
s = new MultiSlice( null, null, null );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 10, 12, 14 ],
[ 16, 18, 20 ],
[ 22, 24, 26 ],
[ 28, 30, 32 ]
],
[
[ 34, 36, 38 ],
[ 40, 42, 44 ],
[ 46, 48, 50 ],
[ 52, 54, 56 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip every other element:
x = new ctor( 'float64', xbuf, [ 2, 2, 2 ], [ 24, 12, 4 ], 16, 'row-major' ); // [ [ [ 16, 20 ], [ 28, 32 ] ], [ [ 40, 44 ], [ 52, 56 ] ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ 24, 6, 2 ], 4, 'row-major' );
s0 = new Slice( null, null, -1 );
s1 = new Slice( null, null, -2 );
s2 = new Slice( null, null, -2 );
s = new MultiSlice( s0, s1, s2 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 0, 0, 0 ],
[ 56, 0, 52 ],
[ 0, 0, 0 ],
[ 44, 0, 40 ]
],
[
[ 0, 0, 0 ],
[ 32, 0, 28 ],
[ 0, 0, 0 ],
[ 20, 0, 16 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip elements, starting from specified elements:
x = new ctor( 'float64', xbuf, [ 2, 2, 2 ], [ 24, 12, 2 ], 10, 'row-major' ); // [ [ [ 10, 12 ], [ 22, 24 ] ], [ [ 34, 36 ], [ 46, 48 ] ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ 24, 6, 2 ], 4, 'row-major' );
s0 = new Slice( null, null, 1 );
s1 = new Slice( 2, null, -2 );
s2 = new Slice( 1, null, -1 );
s = new MultiSlice( s0, s1, s2 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 24, 22, 0 ],
[ 0, 0, 0 ],
[ 12, 10, 0 ],
[ 0, 0, 0 ]
],
[
[ 48, 46, 0 ],
[ 0, 0, 0 ],
[ 36, 34, 0 ],
[ 0, 0, 0 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Set a sub-array:
x = new ctor( 'float64', xbuf, [ 1, 2, 2 ], [ 24, 6, 2 ], 16, 'row-major' ); // [ [ [ 16, 118 ], [ 22, 24 ] ] ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ 24, 6, 2 ], 4, 'row-major' );
s0 = new Slice( 0, 1, 1 );
s1 = new Slice( 2, 0, -1 );
s2 = new Slice( 0, 2, 1 );
s = new MultiSlice( s0, s1, s2 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 0, 0, 0 ],
[ 22, 24, 0 ],
[ 16, 18, 0 ],
[ 0, 0, 0 ]
],
[
[ 0, 0, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
t.end();
});
tape( 'the function assigns input array element values to corresponding elements in an output array view (ndims=3, partial reduction)', function test( t ) {
var expected;
var actual;
var xbuf;
var ybuf;
var s0;
var s1;
var s2;
var x;
var y;
var s;
xbuf = typedarray( zeroTo( 100 ), 'float64' );
// Second row and second column:
x = new ctor( 'float64', xbuf, [ 2 ], [ 24 ], 67, 'row-major' ); // [ 67, 91 ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ -24, -6, -2 ], 99, 'row-major' );
s = new MultiSlice( null, 1, 1 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 0, 0, 0 ],
[ 0, 67, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
],
[
[ 0, 0, 0 ],
[ 0, 91, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip elements:
x = new ctor( 'float64', xbuf, [ 2, 3 ], [ 12, 2 ], 53, 'row-major' ); // [ [ 53, 55, 57 ], [ 65, 67, 69 ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ -24, -6, -2 ], 99, 'row-major' );
s0 = 1;
s1 = new Slice( null, null, -2 );
s2 = new Slice( null, null, -1 );
s = new MultiSlice( s0, s1, s2 );
actual = sliceAssign( x, y, s, true );
t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
t.strictEqual( actual, y, 'returns expected value' );
expected = [
[
[ 0, 0, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 0 ]
],
[
[ 0, 0, 0 ],
[ 69, 67, 65 ],
[ 0, 0, 0 ],
[ 57, 55, 53 ]
]
];
actual = ndarray2array( actual );
t.deepEqual( actual, expected, 'returns expected value' );
// Reverse order and skip elements:
x = new ctor( 'float64', xbuf, [ 2, 2 ], [ 24, 4 ], 59, 'row-major' ); // [ [ 59, 63 ], [ 83, 87 ] ]
ybuf = azeros( 100, x.dtype );
y = new ctor( x.dtype, ybuf, [ 2, 4, 3 ], [ -24, -6, -2 ], 99, 'row-major' );
s0 = new Slice( 1, null, -1 );
s1 = 2;
s2 = new Slice( null, null, 2 );
s = new MultiSlice( s0, s1, s2 );
actual = sliceAssign( x, y, s, true );