diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/lib/main.js index 325afeec0c95..1f27966e8ace 100644 --- a/lib/node_modules/@stdlib/ndarray/base/count-falsy/lib/main.js +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/lib/main.js @@ -274,7 +274,7 @@ function countFalsy( arrays ) { } // Check whether we were provided an empty ndarray... if ( len === 0 ) { - return true; + return 0; } // Determine whether the ndarray is one-dimensional and thus readily translates to a one-dimensional strided array... if ( ndims === 1 ) { diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.10d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.10d.js new file mode 100644 index 000000000000..938e5b375b4e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.10d.js @@ -0,0 +1,2927 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -8, 8, 4, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 16, -16, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -8, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, bsize*16, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, 4, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*16, -bsize*8, bsize*8, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ -bsize*16, -8, 8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, -8, 8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, -bsize*8, -4, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*16, bsize*8, -bsize*8, 4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*4, bsize*4, 2, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, -2, 2, -2, 4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -bsize*4, + bsize*4, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 2, 1, 1, 1, 1 ]; + st = [ + 2, + -4, + bsize*8, + -bsize*8, + bsize*16, + -bsize*16, + bsize*32, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + -4, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + -4, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -2, -2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + bsize*4, + bsize*4, + -bsize*8, + bsize*8, + -bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + 4, + -bsize*8, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + 4, + -bsize*8, + bsize*8, + -bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -16, -16, -16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -bsize*4, + -bsize*4, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + -bsize*8, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + -4, + bsize*8, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1, 1, 1 ]; + st = [ + 2, + -4, + -4, + 4, + bsize*8, + bsize*8, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 10-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.1d.js new file mode 100644 index 000000000000..c45be6d8b5d9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.1d.js @@ -0,0 +1,88 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 1-dimensional ndarray', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( 'float64', ones( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 1-dimensional ndarray (accessors)', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', toAccessorArray( zeros( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( 'float64', toAccessorArray( ones( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 1-dimensional ndarray (complex)', function test( t ) { + var actual; + var x; + + x = ndarray( 'complex128', zeros( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( 'complex128', ones( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.2d.js new file mode 100644 index 000000000000..8450445df392 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.2d.js @@ -0,0 +1,1197 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ 2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -2, bsize*2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ 2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -2, bsize*2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 2-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ 2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.3d.js new file mode 100644 index 000000000000..0a6470bf4895 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.3d.js @@ -0,0 +1,1383 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ bsize*8, bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2, 2 ]; + st = [ -4, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ -bsize*8, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 2 ]; + st = [ -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -3, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ bsize*8, bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ -1, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ 2, -2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2, 2 ]; + st = [ -1, -2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ 2, -2, bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 2 ]; + st = [ -1, -2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 1, -2, -3 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -2, -2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 3-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.4d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.4d.js new file mode 100644 index 000000000000..4fdcda45e054 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.4d.js @@ -0,0 +1,1569 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ bsize*8, bsize*4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ bsize*8, bsize*4, -bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ -bsize*4, -bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2 ]; + st = [ -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1 ]; + st = [ bsize*4, bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2 ]; + st = [ bsize*4, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ 2, 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ 2, -2, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 1, 2 ]; + st = [ 2, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1 ]; + st = [ 1, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1 ]; + st = [ 2, 4, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2 ]; + st = [ 2, 4, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ 2, 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ 2, 2, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 1, 2 ]; + st = [ 2, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 4-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.5d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.5d.js new file mode 100644 index 000000000000..d08c575d6b49 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.5d.js @@ -0,0 +1,1755 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2, 2 ]; + st = [ -8, -4, -4, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1 ]; + st = [ bsize*8, bsize*8, -bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2, 2 ]; + st = [ -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -2, 4, -bsize*8, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, 4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ -2, 4, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1 ]; + st = [ -2, 4, -bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, -4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ 2, 4, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1 ]; + st = [ -2, 4, -bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, -4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 5-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ 2, 4, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.6d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.6d.js new file mode 100644 index 000000000000..d3605a19b161 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.6d.js @@ -0,0 +1,1941 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ bsize*8, -4, -4, 4, 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ -bsize*8, -4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ -bsize*8, -4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, -2, 2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 6-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.7d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.7d.js new file mode 100644 index 000000000000..5935e6181e5e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.7d.js @@ -0,0 +1,2127 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 1, 2 ]; + st = [ bsize*16, -8, 8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, -bsize*16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -8, -8, -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -16, 16, -16, -8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ bsize*16, -8, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, bsize*16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*16, -bsize*8, bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -8, -8, -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ -bsize*16, -8, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, -bsize*16, -8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, -bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, bsize*16, bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, -2, 2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, bsize*8, -bsize*8, bsize*16, -bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 1, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, 4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, 4, -bsize*8, bsize*8, -bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, -bsize*4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 7-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.8d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.8d.js new file mode 100644 index 000000000000..bf092a01e434 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.8d.js @@ -0,0 +1,2349 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 1, 2, 1 ]; + st = [ bsize*16, -8, 8, 4, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 16, -16, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1 ]; + st = [ bsize*16, -8, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ bsize*16, bsize*16, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, 4, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*16, -bsize*8, bsize*8, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, bsize*4, bsize*4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1 ]; + st = [ -bsize*16, -8, 8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, -8, 8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, -bsize*8, -4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*16, bsize*8, -bsize*8, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*4, bsize*4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, -2, 2, -2, 4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 2, -bsize*4, bsize*4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, bsize*8, -bsize*8, bsize*16, -bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 1, 2, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -2, -2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1 ]; + st = [ 2, 4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, 4, -bsize*8, bsize*8, -bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 8-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.9d.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.9d.js new file mode 100644 index 000000000000..e8784e923791 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.9d.js @@ -0,0 +1,2569 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 1, 2, 1, 1 ]; + st = [ bsize*16, -8, 8, 4, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, -16, 16, -16, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1 ]; + st = [ bsize*16, -8, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ bsize*16, bsize*16, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, 4, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*16, -bsize*8, bsize*8, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, bsize*4, bsize*4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 16, -16, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1 ]; + st = [ -bsize*16, -8, 8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, -8, 8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, -bsize*8, -bsize*8, -4, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*16, bsize*8, -bsize*8, 4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*4, bsize*4, 2, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, bsize*2, 1 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + 2, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, 2, 1, 2, 1, 1, bsize*2 ]; + st = [ + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*4, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -2, 2, -2, 4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -bsize*4, bsize*4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 2, 1, 1, 1 ]; + st = [ 2, -4, bsize*8, -bsize*8, bsize*16, -bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, -2, -2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, 4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, 4, -bsize*8, bsize*8, -bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -16, -16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -bsize*4, -bsize*4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2, 1, 1 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2, 1, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, bsize*2, 1 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a 9-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, bsize*16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.js index 959d9e74dbea..8b2c4a41bb4e 100644 --- a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.js +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.js @@ -21,6 +21,8 @@ // MODULES // var tape = require( 'tape' ); +var zeros = require( '@stdlib/array/zeros' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); var countFalsy = require( './../lib' ); @@ -31,3 +33,14 @@ tape( 'main export is a function', function test( t ) { t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); t.end(); }); + +tape( 'the function returns `0` if the input is an empty ndarray', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', zeros( 8, 'float64' ), [ 0 ], [ 1 ], 0, 'row-major' ); + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.nd.js b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.nd.js new file mode 100644 index 000000000000..ba6aad1bc785 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/count-falsy/test/test.nd.js @@ -0,0 +1,824 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var countFalsy = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof countFalsy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 16, -16, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1 ]; + st = [ -8, -8, -8, -8, -8, -4, -4, -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -2, 2, -2, 4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, -2, -2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 1 ]; + st = [ -1, -2, -2, -4, -4, -8, -8, -16, -16, -16, -16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 16, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 4, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function counts the number of falsy elements in a n-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 8, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = countFalsy( [ x ] ); + t.strictEqual( actual, 0, 'returns expected value' ); + + t.end(); +});