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* @license Apache-2.0
*
* Copyright (c) 2021 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 max-depth, max-len */
'use strict';
// MODULES //
var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
// MAIN //
/**
* Applies a unary callback to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
*
* @private
* @param {Object} x - object containing input ndarray meta data
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} x.accessors - data buffer accessors
* @param {Object} y - object containing output ndarray meta data
* @param {string} y.dtype - data type
* @param {Collection} y.data - data buffer
* @param {NonNegativeIntegerArray} y.shape - dimensions
* @param {IntegerArray} y.strides - stride lengths
* @param {NonNegativeInteger} y.offset - index offset
* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} y.accessors - data buffer accessors
* @param {Callback} fcn - unary callback
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var realf = require( '@stdlib/complex/float32/real' );
* var imagf = require( '@stdlib/complex/float32/imag' );
*
* function scale( z ) {
* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
* }
*
* // Create data buffers:
* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
* var ybuf = new Complex64Array( 4 );
*
* // Define the shape of the input and output arrays:
* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
*
* // Define the array strides:
* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
* var sy = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
*
* // Define getters and setters:
* function getter( buf, idx ) {
* return buf.get( idx );
* }
*
* function setter( buf, idx, value ) {
* buf.set( value, idx );
* }
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'dtype': 'complex64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
* var y = {
* 'dtype': 'complex64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
*
* // Apply the unary function:
* blockedunary10d( x, y, scale );
*
* var v = y.data.get( 0 );
*
* var re = realf( v );
* // returns 10.0
*
* var im = imagf( v );
* // returns 20.0
*/
function blockedunary10d( x, y, fcn ) { // eslint-disable-line max-statements, max-lines-per-function
var bsize;
var xbuf;
var ybuf;
var get;
var set;
var dx0;
var dx1;
var dx2;
var dx3;
var dx4;
var dx5;
var dx6;
var dx7;
var dx8;
var dx9;
var dy0;
var dy1;
var dy2;
var dy3;
var dy4;
var dy5;
var dy6;
var dy7;
var dy8;
var dy9;
var ox1;
var ox2;
var ox3;
var ox4;
var ox5;
var ox6;
var ox7;
var ox8;
var ox9;
var oy1;
var oy2;
var oy3;
var oy4;
var oy5;
var oy6;
var oy7;
var oy8;
var oy9;
var sh;
var s0;
var s1;
var s2;
var s3;
var s4;
var s5;
var s6;
var s7;
var s8;
var s9;
var sx;
var sy;
var ox;
var oy;
var ix;
var iy;
var i0;
var i1;
var i2;
var i3;
var i4;
var i5;
var i6;
var i7;
var i8;
var i9;
var j0;
var j1;
var j2;
var j3;
var j4;
var j5;
var j6;
var j7;
var j8;
var j9;
var o;
// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
// Resolve the loop interchange order:
o = loopOrder( x.shape, x.strides, y.strides );
sh = o.sh;
sx = o.sx;
sy = o.sy;
// Determine the block size:
bsize = blockSize( x.dtype, y.dtype );
// Cache the indices of the first indexed elements in the respective ndarrays...
ox = x.offset;
oy = y.offset;
// Cache references to the input and output ndarray buffers...
xbuf = x.data;
ybuf = y.data;
// Cache offset increments for the innermost loop...
dx0 = sx[0];
dy0 = sy[0];
// Cache accessors:
get = x.accessors[0];
set = y.accessors[1];
// Iterate over blocks...
for ( j9 = sh[9]; j9 > 0; ) {
if ( j9 < bsize ) {
s9 = j9;
j9 = 0;
} else {
s9 = bsize;
j9 -= bsize;
}
ox9 = ox + ( j9*sx[9] );
oy9 = oy + ( j9*sy[9] );
for ( j8 = sh[8]; j8 > 0; ) {
if ( j8 < bsize ) {
s8 = j8;
j8 = 0;
} else {
s8 = bsize;
j8 -= bsize;
}
dx9 = sx[9] - ( s8*sx[8] );
dy9 = sy[9] - ( s8*sy[8] );
ox8 = ox9 + ( j8*sx[8] );
oy8 = oy9 + ( j8*sy[8] );
for ( j7 = sh[7]; j7 > 0; ) {
if ( j7 < bsize ) {
s7 = j7;
j7 = 0;
} else {
s7 = bsize;
j7 -= bsize;
}
dx8 = sx[8] - ( s7*sx[7] );
dy8 = sy[8] - ( s7*sy[7] );
ox7 = ox8 + ( j7*sx[7] );
oy7 = oy8 + ( j7*sy[7] );
for ( j6 = sh[6]; j6 > 0; ) {
if ( j6 < bsize ) {
s6 = j6;
j6 = 0;
} else {
s6 = bsize;
j6 -= bsize;
}
dx7 = sx[7] - ( s6*sx[6] );
dy7 = sy[7] - ( s6*sy[6] );
ox6 = ox7 + ( j6*sx[6] );
oy6 = oy7 + ( j6*sy[6] );
for ( j5 = sh[5]; j5 > 0; ) {
if ( j5 < bsize ) {
s5 = j5;
j5 = 0;
} else {
s5 = bsize;
j5 -= bsize;
}
dx6 = sx[6] - ( s5*sx[5] );
dy6 = sy[6] - ( s5*sy[5] );
ox5 = ox6 + ( j5*sx[5] );
oy5 = oy6 + ( j5*sy[5] );
for ( j4 = sh[4]; j4 > 0; ) {
if ( j4 < bsize ) {
s4 = j4;
j4 = 0;
} else {
s4 = bsize;
j4 -= bsize;
}
dx5 = sx[5] - ( s4*sx[4] );
dy5 = sy[5] - ( s4*sy[4] );
ox4 = ox5 + ( j4*sx[4] );
oy4 = oy5 + ( j4*sy[4] );
for ( j3 = sh[3]; j3 > 0; ) {
if ( j3 < bsize ) {
s3 = j3;
j3 = 0;
} else {
s3 = bsize;
j3 -= bsize;
}
dx4 = sx[4] - ( s3*sx[3] );
dy4 = sy[4] - ( s3*sy[3] );
ox3 = ox4 + ( j3*sx[3] );
oy3 = oy4 + ( j3*sy[3] );
for ( j2 = sh[2]; j2 > 0; ) {
if ( j2 < bsize ) {
s2 = j2;
j2 = 0;
} else {
s2 = bsize;
j2 -= bsize;
}
dx3 = sx[3] - ( s2*sx[2] );
dy3 = sy[3] - ( s2*sy[2] );
ox2 = ox3 + ( j2*sx[2] );
oy2 = oy3 + ( j2*sy[2] );
for ( j1 = sh[1]; j1 > 0; ) {
if ( j1 < bsize ) {
s1 = j1;
j1 = 0;
} else {
s1 = bsize;
j1 -= bsize;
}
dx2 = sx[2] - ( s1*sx[1] );
dy2 = sy[2] - ( s1*sy[1] );
ox1 = ox2 + ( j1*sx[1] );
oy1 = oy2 + ( j1*sy[1] );
for ( j0 = sh[0]; j0 > 0; ) {
if ( j0 < bsize ) {
s0 = j0;
j0 = 0;
} else {
s0 = bsize;
j0 -= bsize;
}
// Compute index offsets for the first input and output ndarray elements in the current block...
ix = ox1 + ( j0*sx[0] );
iy = oy1 + ( j0*sy[0] );
// Compute loop offset increments...
dx1 = sx[1] - ( s0*sx[0] );
dy1 = sy[1] - ( s0*sy[0] );
// Iterate over the ndarray dimensions...
for ( i9 = 0; i9 < s9; i9++ ) {
for ( i8 = 0; i8 < s8; i8++ ) {
for ( i7 = 0; i7 < s7; i7++ ) {
for ( i6 = 0; i6 < s6; i6++ ) {
for ( i5 = 0; i5 < s5; i5++ ) {
for ( i4 = 0; i4 < s4; i4++ ) {
for ( i3 = 0; i3 < s3; i3++ ) {
for ( i2 = 0; i2 < s2; i2++ ) {
for ( i1 = 0; i1 < s1; i1++ ) {
for ( i0 = 0; i0 < s0; i0++ ) {
set( ybuf, iy, fcn( get( xbuf, ix ) ) );
ix += dx0;
iy += dy0;
}
ix += dx1;
iy += dy1;
}
ix += dx2;
iy += dy2;
}
ix += dx3;
iy += dy3;
}
ix += dx4;
iy += dy4;
}
ix += dx5;
iy += dy5;
}
ix += dx6;
iy += dy6;
}
ix += dx7;
iy += dy7;
}
ix += dx8;
iy += dy8;
}
ix += dx9;
iy += dy9;
}
}
}
}
}
}
}
}
}
}
}
}
// EXPORTS //
module.exports = blockedunary10d;
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