|
21 | 21 | // MODULES // |
22 | 22 |
|
23 | 23 | var tape = require( 'tape' ); |
24 | | -var floor = require( '@stdlib/math/base/special/floor' ); |
25 | 24 | var isnan = require( '@stdlib/math/base/assert/is-nan' ); |
26 | 25 | var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); |
27 | 26 | var Float64Array = require( '@stdlib/array/float64' ); |
28 | 27 | var nanminabs = require( './../lib/nanminabs.js' ); |
29 | | - |
| 28 | +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); |
30 | 29 |
|
31 | 30 | // TESTS // |
32 | 31 |
|
33 | | -tape( 'main export is a function', function test( t ) { |
34 | | - t.ok( true, __filename ); |
35 | | - t.strictEqual( typeof nanminabs, 'function', 'main export is a function' ); |
| 32 | +tape('main export is a function', function test(t) { |
| 33 | + t.ok(true, __filename); |
| 34 | + t.strictEqual(typeof nanminabs, 'function', 'main export is a function'); |
36 | 35 | t.end(); |
37 | | -}); |
38 | | - |
39 | | -tape( 'the function has an arity of 3', function test( t ) { |
40 | | - t.strictEqual( nanminabs.length, 3, 'has expected arity' ); |
| 36 | + }); |
| 37 | + |
| 38 | + tape('the function calculates the minimum absolute value of a strided array (with accessor support)', function test(t) { |
| 39 | + var x, v; |
| 40 | + |
| 41 | + x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 0.0, 3.0, NaN, NaN]); |
| 42 | + v = nanminabs(x.data.length, x, 1, 0); |
| 43 | + t.strictEqual(v, 0.0, 'returns expected value'); |
| 44 | + |
| 45 | + x = toAccessorArray([-4.0, NaN, -5.0]); |
| 46 | + v = nanminabs(x.data.length, x, 1, 0); |
| 47 | + t.strictEqual(v, 4.0, 'returns expected value'); |
| 48 | + |
| 49 | + x = toAccessorArray([0.0, NaN, -0.0, 0.0]); |
| 50 | + v = nanminabs(x.data.length, x, 1, 0); |
| 51 | + t.strictEqual(isPositiveZero(v), true, 'returns expected value'); |
| 52 | + |
| 53 | + x = toAccessorArray([NaN]); |
| 54 | + v = nanminabs(x.data.length, x, 1, 0); |
| 55 | + t.strictEqual(isnan(v), true, 'returns expected value'); |
| 56 | + |
| 57 | + x = toAccessorArray([NaN, NaN]); |
| 58 | + v = nanminabs(x.data.length, x, 1, 0); |
| 59 | + t.strictEqual(isnan(v), true, 'returns expected value'); |
| 60 | + |
41 | 61 | t.end(); |
42 | | -}); |
43 | | - |
44 | | -tape( 'the function calculates the minimum absolute value of a strided array', function test( t ) { |
45 | | - var x; |
46 | | - var v; |
47 | | - |
48 | | - x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0, NaN, NaN ]; |
49 | | - v = nanminabs( x.length, x, 1 ); |
50 | | - t.strictEqual( v, 0.0, 'returns expected value' ); |
51 | | - |
52 | | - x = [ -4.0, NaN, -5.0 ]; |
53 | | - v = nanminabs( x.length, x, 1 ); |
54 | | - t.strictEqual( v, 4.0, 'returns expected value' ); |
55 | | - |
56 | | - x = [ 0.0, NaN, -0.0, 0.0 ]; |
57 | | - v = nanminabs( x.length, x, 1 ); |
58 | | - t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); |
59 | | - |
60 | | - x = [ NaN ]; |
61 | | - v = nanminabs( x.length, x, 1 ); |
62 | | - t.strictEqual( isnan( v ), true, 'returns expected value' ); |
63 | | - |
64 | | - x = [ NaN, NaN ]; |
65 | | - v = nanminabs( x.length, x, 1 ); |
66 | | - t.strictEqual( isnan( v ), true, 'returns expected value' ); |
67 | | - |
| 62 | + }); |
| 63 | + |
| 64 | + tape('if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test(t) { |
| 65 | + var x, v; |
| 66 | + |
| 67 | + x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]); |
| 68 | + |
| 69 | + v = nanminabs(0, x, 1, 0); |
| 70 | + t.strictEqual(isnan(v), true, 'returns expected value'); |
| 71 | + |
| 72 | + v = nanminabs(-1, x, 1, 0); |
| 73 | + t.strictEqual(isnan(v), true, 'returns expected value'); |
| 74 | + |
68 | 75 | t.end(); |
69 | | -}); |
70 | | - |
71 | | -tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) { |
72 | | - var x; |
73 | | - var v; |
74 | | - |
75 | | - x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ]; |
76 | | - |
77 | | - v = nanminabs( 0, x, 1 ); |
78 | | - t.strictEqual( isnan( v ), true, 'returns expected value' ); |
79 | | - |
80 | | - v = nanminabs( -1, x, 1 ); |
81 | | - t.strictEqual( isnan( v ), true, 'returns expected value' ); |
82 | | - |
83 | | - t.end(); |
84 | | -}); |
85 | | - |
86 | | -tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', function test( t ) { |
87 | | - var x; |
88 | | - var v; |
89 | | - |
90 | | - x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ]; |
91 | | - |
92 | | - v = nanminabs( 1, x, 1 ); |
93 | | - t.strictEqual( v, 1.0, 'returns expected value' ); |
94 | | - |
| 76 | + }); |
| 77 | + |
| 78 | + tape('if provided an `N` parameter equal to `1`, the function returns the first element', function test(t) { |
| 79 | + var x, v; |
| 80 | + |
| 81 | + x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]); |
| 82 | + |
| 83 | + v = nanminabs(1, x, 1, 0); |
| 84 | + t.strictEqual(v, 1.0, 'returns expected value'); |
| 85 | + |
95 | 86 | t.end(); |
96 | | -}); |
97 | | - |
98 | | -tape( 'the function supports a `stride` parameter', function test( t ) { |
99 | | - var N; |
100 | | - var x; |
101 | | - var v; |
102 | | - |
103 | | - x = [ |
104 | | - 1.0, // 0 |
105 | | - 2.0, |
106 | | - 2.0, // 1 |
107 | | - -7.0, |
108 | | - -2.0, // 2 |
109 | | - 3.0, |
110 | | - 4.0, // 3 |
111 | | - 2.0, |
112 | | - NaN, // 4 |
113 | | - NaN |
114 | | - ]; |
115 | | - |
116 | | - N = floor( x.length / 2 ); |
117 | | - v = nanminabs( N, x, 2 ); |
118 | | - |
119 | | - t.strictEqual( v, 1.0, 'returns expected value' ); |
| 87 | + }); |
| 88 | + |
| 89 | + tape('the function supports a `stride` parameter', function test(t) { |
| 90 | + var N, x, v; |
| 91 | + |
| 92 | + x = toAccessorArray([ |
| 93 | + 1.0, |
| 94 | + 2.0, |
| 95 | + 2.0, |
| 96 | + -7.0, |
| 97 | + -2.0, |
| 98 | + 3.0, |
| 99 | + 4.0, |
| 100 | + 2.0, |
| 101 | + NaN, |
| 102 | + NaN |
| 103 | + ]); |
| 104 | + |
| 105 | + N = Math.floor(x.data.length / 2); |
| 106 | + v = nanminabs(N, x, 2, 0); |
| 107 | + |
| 108 | + t.strictEqual(v, 1.0, 'returns expected value'); |
120 | 109 | t.end(); |
121 | | -}); |
122 | | - |
123 | | -tape( 'the function supports a negative `stride` parameter', function test( t ) { |
124 | | - var N; |
125 | | - var x; |
126 | | - var v; |
127 | | - |
128 | | - x = [ |
129 | | - NaN, // 4 |
130 | | - NaN, |
131 | | - 1.0, // 3 |
132 | | - 2.0, |
133 | | - 2.0, // 2 |
134 | | - -7.0, |
135 | | - -2.0, // 1 |
136 | | - 3.0, |
137 | | - 4.0, // 0 |
138 | | - 2.0 |
139 | | - ]; |
140 | | - |
141 | | - N = floor( x.length / 2 ); |
142 | | - v = nanminabs( N, x, -2 ); |
143 | | - |
144 | | - t.strictEqual( v, 1.0, 'returns expected value' ); |
| 110 | + }); |
| 111 | + |
| 112 | + tape('the function supports a negative `stride` parameter', function test(t) { |
| 113 | + var N, x, v; |
| 114 | + |
| 115 | + x = toAccessorArray([ |
| 116 | + NaN, |
| 117 | + NaN, |
| 118 | + 1.0, |
| 119 | + 2.0, |
| 120 | + 2.0, |
| 121 | + -7.0, |
| 122 | + -2.0, |
| 123 | + 3.0, |
| 124 | + 4.0, |
| 125 | + 2.0 |
| 126 | + ]); |
| 127 | + |
| 128 | + N = Math.floor(x.data.length / 2); |
| 129 | + v = nanminabs(N, x, -2, x.data.length - 1); |
| 130 | + |
| 131 | + t.strictEqual(v, 1.0, 'returns expected value'); |
145 | 132 | t.end(); |
146 | | -}); |
147 | | - |
148 | | -tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) { |
149 | | - var x; |
150 | | - var v; |
151 | | - |
152 | | - x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ]; |
153 | | - |
154 | | - v = nanminabs( x.length, x, 0 ); |
155 | | - t.strictEqual( v, 1.0, 'returns expected value' ); |
156 | | - |
| 133 | + }); |
| 134 | + |
| 135 | + tape('if provided a `stride` parameter equal to `0`, the function returns the first element', function test(t) { |
| 136 | + var x, v; |
| 137 | + |
| 138 | + x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]); |
| 139 | + |
| 140 | + v = nanminabs(x.data.length, x, 0, 0); |
| 141 | + t.strictEqual(v, 1.0, 'returns expected value'); |
| 142 | + |
157 | 143 | t.end(); |
158 | | -}); |
159 | | - |
160 | | -tape( 'the function supports view offsets', function test( t ) { |
161 | | - var x0; |
162 | | - var x1; |
163 | | - var N; |
164 | | - var v; |
165 | | - |
| 144 | + }); |
| 145 | + |
| 146 | + tape('the function supports view offsets', function test(t) { |
| 147 | + var x0, x1, N, v; |
| 148 | + |
166 | 149 | x0 = new Float64Array([ |
167 | | - 2.0, |
168 | | - 1.0, // 0 |
169 | | - 2.0, |
170 | | - -2.0, // 1 |
171 | | - -2.0, |
172 | | - 2.0, // 2 |
173 | | - 3.0, |
174 | | - 4.0, // 3 |
175 | | - 6.0, |
176 | | - NaN, // 4 |
177 | | - NaN |
| 150 | + 2.0, |
| 151 | + 1.0, |
| 152 | + 2.0, |
| 153 | + -2.0, |
| 154 | + -2.0, |
| 155 | + 2.0, |
| 156 | + 3.0, |
| 157 | + 4.0, |
| 158 | + 6.0, |
| 159 | + NaN, |
| 160 | + NaN |
178 | 161 | ]); |
179 | | - |
180 | | - x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element |
181 | | - N = floor(x1.length / 2); |
182 | | - |
183 | | - v = nanminabs( N, x1, 2 ); |
184 | | - t.strictEqual( v, 1.0, 'returns expected value' ); |
185 | | - |
| 162 | + |
| 163 | + x1 = new Float64Array(x0.buffer, x0.BYTES_PER_ELEMENT * 1); // start at 2nd element |
| 164 | + N = Math.floor(x1.length / 2); |
| 165 | + |
| 166 | + x1 = toAccessorArray(x1); |
| 167 | + v = nanminabs(N, x1, 2, 0); |
| 168 | + t.strictEqual(v, 1.0, 'returns expected value'); |
| 169 | + |
186 | 170 | t.end(); |
187 | | -}); |
| 171 | + }); |
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