|
21 | 21 | // MODULES // |
22 | 22 |
|
23 | 23 | var bench = require( '@stdlib/bench' ); |
24 | | -var Float64Array = require( '@stdlib/array/float64' ); |
25 | | -var ndarrayBase = require( '@stdlib/ndarray/base/ctor' ); |
26 | | -var ndarray = require( '@stdlib/ndarray/ctor' ); |
27 | 24 | var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); |
| 25 | +var empty = require( '@stdlib/ndarray/empty' ); |
28 | 26 | var format = require( '@stdlib/string/format' ); |
29 | 27 | var pkg = require( './../package.json' ).name; |
30 | 28 | var toReversedDimensions = require( './../lib' ); |
31 | 29 |
|
32 | 30 |
|
33 | 31 | // MAIN // |
34 | 32 |
|
35 | | -bench( format( '%s:ctor=base,ndims=1', pkg ), function benchmark( b ) { |
36 | | - var strides; |
37 | | - var buffer; |
38 | | - var offset; |
39 | | - var dtype; |
40 | | - var order; |
41 | | - var shape; |
42 | | - var dims; |
43 | | - var out; |
| 33 | +bench( format( '%s:ndims=1,dims=[0]', pkg ), function benchmark( b ) { |
| 34 | + var values; |
| 35 | + var v; |
44 | 36 | var i; |
45 | | - var x; |
46 | 37 |
|
47 | | - dtype = 'float64'; |
48 | | - buffer = new Float64Array( 24 ); |
49 | | - shape = [ 24 ]; |
50 | | - strides = [ 1 ]; |
51 | | - offset = 0; |
52 | | - order = 'row-major'; |
53 | | - dims = [ 0 ]; |
| 38 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
54 | 39 |
|
55 | | - x = ndarrayBase( dtype, buffer, shape, strides, offset, order ); |
| 40 | + values = [ |
| 41 | + empty( [ 2 ], { 'dtype': 'float64' } ), |
| 42 | + empty( [ 2 ], { 'dtype': 'float32' } ), |
| 43 | + empty( [ 2 ], { 'dtype': 'int32' } ), |
| 44 | + empty( [ 2 ], { 'dtype': 'complex128' } ), |
| 45 | + empty( [ 2 ], { 'dtype': 'generic' } ) |
| 46 | + ]; |
| 47 | + |
| 48 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 49 | + |
| 50 | + b.tic(); |
| 51 | + for ( i = 0; i < b.iterations; i++ ) { |
| 52 | + v = toReversedDimensions( values[ i%values.length ], [ 0 ] ); |
| 53 | + if ( typeof v !== 'object' ) { |
| 54 | + b.fail( 'should return an ndarray' ); |
| 55 | + } |
| 56 | + } |
| 57 | + b.toc(); |
| 58 | + if ( !isndarrayLike( v ) ) { |
| 59 | + b.fail( 'should return an ndarray' ); |
| 60 | + } |
| 61 | + b.pass( 'benchmark finished' ); |
| 62 | + b.end(); |
| 63 | +}); |
| 64 | + |
| 65 | +bench( format( '%s:ndims=2,dims=[0]', pkg ), function benchmark( b ) { |
| 66 | + var values; |
| 67 | + var v; |
| 68 | + var i; |
| 69 | + |
| 70 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 71 | + |
| 72 | + values = [ |
| 73 | + empty( [ 2, 2 ], { 'dtype': 'float64' } ), |
| 74 | + empty( [ 2, 2 ], { 'dtype': 'float32' } ), |
| 75 | + empty( [ 2, 2 ], { 'dtype': 'int32' } ), |
| 76 | + empty( [ 2, 2 ], { 'dtype': 'complex128' } ), |
| 77 | + empty( [ 2, 2 ], { 'dtype': 'generic' } ) |
| 78 | + ]; |
| 79 | + |
| 80 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 81 | + |
| 82 | + b.tic(); |
| 83 | + for ( i = 0; i < b.iterations; i++ ) { |
| 84 | + v = toReversedDimensions( values[ i%values.length ], [ 0 ] ); |
| 85 | + if ( typeof v !== 'object' ) { |
| 86 | + b.fail( 'should return an ndarray' ); |
| 87 | + } |
| 88 | + } |
| 89 | + b.toc(); |
| 90 | + if ( !isndarrayLike( v ) ) { |
| 91 | + b.fail( 'should return an ndarray' ); |
| 92 | + } |
| 93 | + b.pass( 'benchmark finished' ); |
| 94 | + b.end(); |
| 95 | +}); |
| 96 | + |
| 97 | +bench( format( '%s:ndims=2,dims=[0,1]', pkg ), function benchmark( b ) { |
| 98 | + var values; |
| 99 | + var v; |
| 100 | + var i; |
| 101 | + |
| 102 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 103 | + |
| 104 | + values = [ |
| 105 | + empty( [ 2, 2 ], { 'dtype': 'float64' } ), |
| 106 | + empty( [ 2, 2 ], { 'dtype': 'float32' } ), |
| 107 | + empty( [ 2, 2 ], { 'dtype': 'int32' } ), |
| 108 | + empty( [ 2, 2 ], { 'dtype': 'complex128' } ), |
| 109 | + empty( [ 2, 2 ], { 'dtype': 'generic' } ) |
| 110 | + ]; |
| 111 | + |
| 112 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
56 | 113 |
|
57 | 114 | b.tic(); |
58 | 115 | for ( i = 0; i < b.iterations; i++ ) { |
59 | | - out = toReversedDimensions( x, dims ); |
60 | | - if ( typeof out !== 'object' ) { |
61 | | - b.fail( 'should return an object' ); |
| 116 | + v = toReversedDimensions( values[ i%values.length ], [ 0, 1 ] ); |
| 117 | + if ( typeof v !== 'object' ) { |
| 118 | + b.fail( 'should return an ndarray' ); |
62 | 119 | } |
63 | 120 | } |
64 | 121 | b.toc(); |
65 | | - if ( !isndarrayLike( out ) ) { |
| 122 | + if ( !isndarrayLike( v ) ) { |
66 | 123 | b.fail( 'should return an ndarray' ); |
67 | 124 | } |
68 | 125 | b.pass( 'benchmark finished' ); |
69 | 126 | b.end(); |
70 | 127 | }); |
71 | 128 |
|
72 | | -bench( format( '%s:ctor=ndarray,ndims=1', pkg ), function benchmark( b ) { |
73 | | - var strides; |
74 | | - var buffer; |
75 | | - var offset; |
76 | | - var dtype; |
77 | | - var order; |
78 | | - var shape; |
79 | | - var dims; |
80 | | - var out; |
| 129 | +bench( format( '%s:ndims=3,dims=[0]', pkg ), function benchmark( b ) { |
| 130 | + var values; |
| 131 | + var v; |
81 | 132 | var i; |
82 | | - var x; |
83 | 133 |
|
84 | | - dtype = 'float64'; |
85 | | - buffer = new Float64Array( 24 ); |
86 | | - shape = [ 24 ]; |
87 | | - strides = [ 1 ]; |
88 | | - offset = 0; |
89 | | - order = 'row-major'; |
90 | | - dims = [ 0 ]; |
| 134 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 135 | + |
| 136 | + values = [ |
| 137 | + empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ), |
| 138 | + empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ), |
| 139 | + empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ), |
| 140 | + empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ), |
| 141 | + empty( [ 2, 2, 2 ], { 'dtype': 'generic' } ) |
| 142 | + ]; |
91 | 143 |
|
92 | | - x = ndarray( dtype, buffer, shape, strides, offset, order ); |
| 144 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
93 | 145 |
|
94 | 146 | b.tic(); |
95 | 147 | for ( i = 0; i < b.iterations; i++ ) { |
96 | | - out = toReversedDimensions( x, dims ); |
97 | | - if ( typeof out !== 'object' ) { |
98 | | - b.fail( 'should return an object' ); |
| 148 | + v = toReversedDimensions( values[ i%values.length ], [ 0 ] ); |
| 149 | + if ( typeof v !== 'object' ) { |
| 150 | + b.fail( 'should return an ndarray' ); |
99 | 151 | } |
100 | 152 | } |
101 | 153 | b.toc(); |
102 | | - if ( !isndarrayLike( out ) ) { |
| 154 | + if ( !isndarrayLike( v ) ) { |
103 | 155 | b.fail( 'should return an ndarray' ); |
104 | 156 | } |
105 | 157 | b.pass( 'benchmark finished' ); |
106 | 158 | b.end(); |
107 | 159 | }); |
108 | 160 |
|
109 | | -bench( format( '%s:ctor=base,ndims=2', pkg ), function benchmark( b ) { |
110 | | - var strides; |
111 | | - var buffer; |
112 | | - var offset; |
113 | | - var dtype; |
114 | | - var order; |
115 | | - var shape; |
116 | | - var dims; |
117 | | - var out; |
| 161 | +bench( format( '%s:ndims=3,dims=[0,2]', pkg ), function benchmark( b ) { |
| 162 | + var values; |
| 163 | + var v; |
118 | 164 | var i; |
119 | | - var x; |
120 | 165 |
|
121 | | - dtype = 'float64'; |
122 | | - buffer = new Float64Array( 24 ); |
123 | | - shape = [ 6, 4 ]; |
124 | | - strides = [ 4, 1 ]; |
125 | | - offset = 0; |
126 | | - order = 'row-major'; |
127 | | - dims = [ 0, 1 ]; |
| 166 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
128 | 167 |
|
129 | | - x = ndarrayBase( dtype, buffer, shape, strides, offset, order ); |
| 168 | + values = [ |
| 169 | + empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ), |
| 170 | + empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ), |
| 171 | + empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ), |
| 172 | + empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ), |
| 173 | + empty( [ 2, 2, 2 ], { 'dtype': 'generic' } ) |
| 174 | + ]; |
| 175 | + |
| 176 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
130 | 177 |
|
131 | 178 | b.tic(); |
132 | 179 | for ( i = 0; i < b.iterations; i++ ) { |
133 | | - out = toReversedDimensions( x, dims ); |
134 | | - if ( typeof out !== 'object' ) { |
135 | | - b.fail( 'should return an object' ); |
| 180 | + v = toReversedDimensions( values[ i%values.length ], [ 0, 2 ] ); |
| 181 | + if ( typeof v !== 'object' ) { |
| 182 | + b.fail( 'should return an ndarray' ); |
136 | 183 | } |
137 | 184 | } |
138 | 185 | b.toc(); |
139 | | - if ( !isndarrayLike( out ) ) { |
| 186 | + if ( !isndarrayLike( v ) ) { |
140 | 187 | b.fail( 'should return an ndarray' ); |
141 | 188 | } |
142 | 189 | b.pass( 'benchmark finished' ); |
143 | 190 | b.end(); |
144 | 191 | }); |
145 | 192 |
|
146 | | -bench( format( '%s:ctor=ndarray,ndims=2', pkg ), function benchmark( b ) { |
147 | | - var strides; |
148 | | - var buffer; |
149 | | - var offset; |
150 | | - var dtype; |
151 | | - var order; |
152 | | - var shape; |
153 | | - var dims; |
154 | | - var out; |
| 193 | +bench( format( '%s:ndims=3,dims=[0,1,2]', pkg ), function benchmark( b ) { |
| 194 | + var values; |
| 195 | + var v; |
155 | 196 | var i; |
156 | | - var x; |
157 | 197 |
|
158 | | - dtype = 'float64'; |
159 | | - buffer = new Float64Array( 24 ); |
160 | | - shape = [ 6, 4 ]; |
161 | | - strides = [ 4, 1 ]; |
162 | | - offset = 0; |
163 | | - order = 'row-major'; |
164 | | - dims = [ 0, 1 ]; |
| 198 | + /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
| 199 | + |
| 200 | + values = [ |
| 201 | + empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ), |
| 202 | + empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ), |
| 203 | + empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ), |
| 204 | + empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ), |
| 205 | + empty( [ 2, 2, 2 ], { 'dtype': 'generic' } ) |
| 206 | + ]; |
165 | 207 |
|
166 | | - x = ndarray( dtype, buffer, shape, strides, offset, order ); |
| 208 | + /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */ |
167 | 209 |
|
168 | 210 | b.tic(); |
169 | 211 | for ( i = 0; i < b.iterations; i++ ) { |
170 | | - out = toReversedDimensions( x, dims ); |
171 | | - if ( typeof out !== 'object' ) { |
172 | | - b.fail( 'should return an object' ); |
| 212 | + v = toReversedDimensions( values[ i%values.length ], [ 0, 1, 2 ] ); |
| 213 | + if ( typeof v !== 'object' ) { |
| 214 | + b.fail( 'should return an ndarray' ); |
173 | 215 | } |
174 | 216 | } |
175 | 217 | b.toc(); |
176 | | - if ( !isndarrayLike( out ) ) { |
| 218 | + if ( !isndarrayLike( v ) ) { |
177 | 219 | b.fail( 'should return an ndarray' ); |
178 | 220 | } |
179 | 221 | b.pass( 'benchmark finished' ); |
|
0 commit comments