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chore: minor clean-up
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‎lib/node_modules/@stdlib/blas/ext/base/ndarray/ssum/test/test.native.js‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -43,7 +43,7 @@ var opts = {
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* Returns a one-dimensional ndarray.
4444
*
4545
* @private
46-
* @param {Float64Array} buffer - underlying data buffer
46+
* @param {Float32Array} buffer - underlying data buffer
4747
* @param {NonNegativeInteger} length - number of indexed elements
4848
* @param {integer} stride - stride length
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* @param {NonNegativeInteger} offset - index offset

‎lib/node_modules/@stdlib/math/strided/special/ahavercos-by/test/test.main.js‎

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -74,6 +74,7 @@ tape( 'the function computes the inverse half-value versed cosine via a callback
7474
ahavercosBy( x.length, x, 1, y, 1, accessor );
7575
t.deepEqual( y, expected, 'deep equal' );
7676

77+
// eslint-disable-next-line stdlib/no-new-array
7778
x = new Array( 5 ); // sparse array
7879
y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];
7980

@@ -82,6 +83,7 @@ tape( 'the function computes the inverse half-value versed cosine via a callback
8283
ahavercosBy( x.length, x, 1, y, 1, accessor );
8384
t.deepEqual( y, expected, 'deep equal' );
8485

86+
// eslint-disable-next-line stdlib/no-new-array
8587
x = new Array( 5 ); // sparse array
8688
x[ 2 ] = rand();
8789
y = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];

‎lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/manifest.json‎

Lines changed: 107 additions & 107 deletions
Original file line numberDiff line numberDiff line change
@@ -1,110 +1,110 @@
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{
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"options": {
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"task": "build",
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"wasm": false
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"options": {
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"task": "build",
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"wasm": false
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},
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"fields": [
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{
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"field": "src",
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"resolve": true,
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"relative": true
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},
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"fields": [
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{
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"field": "src",
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"resolve": true,
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"relative": true
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},
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{
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"field": "include",
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"resolve": true,
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"relative": true
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},
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{
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"field": "libraries",
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"resolve": false,
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"relative": false
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},
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{
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"field": "libpath",
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"resolve": true,
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"relative": false
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}
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],
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"confs": [
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{
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"task": "build",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
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"@stdlib/ndarray/ctor",
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"@stdlib/ndarray/base/napi/addon-arguments",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"@stdlib/napi/create-double"
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]
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},
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{
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"task": "benchmark",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
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"@stdlib/ndarray/ctor",
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"@stdlib/ndarray/dtypes",
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"@stdlib/ndarray/index-modes",
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"@stdlib/ndarray/orders",
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"@stdlib/ndarray/base/bytes-per-element"
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]
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},
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{
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"task": "examples",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
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"@stdlib/ndarray/ctor",
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"@stdlib/ndarray/dtypes",
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"@stdlib/ndarray/index-modes",
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"@stdlib/ndarray/orders",
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"@stdlib/ndarray/base/bytes-per-element"
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]
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},
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{
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"task": "",
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"wasm": true,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
106-
"@stdlib/ndarray/ctor"
107-
]
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}
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]
12+
{
13+
"field": "include",
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"resolve": true,
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"relative": true
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},
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{
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"field": "libraries",
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"resolve": false,
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"relative": false
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},
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{
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"field": "libpath",
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"resolve": true,
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"relative": false
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}
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],
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"confs": [
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{
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"task": "build",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
41+
"@stdlib/blas/base/shared",
42+
"@stdlib/stats/strided/smaxabs",
43+
"@stdlib/ndarray/ctor",
44+
"@stdlib/ndarray/base/napi/addon-arguments",
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"@stdlib/napi/export",
46+
"@stdlib/napi/argv",
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"@stdlib/napi/create-double"
48+
]
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},
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{
51+
"task": "benchmark",
52+
"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
60+
"libpath": [],
61+
"dependencies": [
62+
"@stdlib/blas/base/shared",
63+
"@stdlib/stats/strided/smaxabs",
64+
"@stdlib/ndarray/ctor",
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"@stdlib/ndarray/dtypes",
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"@stdlib/ndarray/index-modes",
67+
"@stdlib/ndarray/orders",
68+
"@stdlib/ndarray/base/bytes-per-element"
69+
]
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},
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{
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"task": "examples",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
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"@stdlib/ndarray/ctor",
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"@stdlib/ndarray/dtypes",
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"@stdlib/ndarray/index-modes",
88+
"@stdlib/ndarray/orders",
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"@stdlib/ndarray/base/bytes-per-element"
90+
]
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},
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{
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"task": "",
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"wasm": true,
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"src": [
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"./src/main.c"
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],
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"include": [
99+
"./include"
100+
],
101+
"libraries": [],
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"libpath": [],
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"dependencies": [
104+
"@stdlib/blas/base/shared",
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"@stdlib/stats/strided/smaxabs",
106+
"@stdlib/ndarray/ctor"
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]
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}
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]
110110
}

‎lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/test/test.main.js‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -97,14 +97,14 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', function test(
9797
t.end();
9898
});
9999

100-
tape( 'if provided an ndarray containing a single element, the function returns that element', function test( t ) {
100+
tape( 'if provided an ndarray containing a single element, the function returns its absolute value', function test( t ) {
101101
var x;
102102
var v;
103103

104-
x = new Float32Array( [ 1.0 ] );
104+
x = new Float32Array( [ -3.0 ] );
105105

106106
v = smaxabs( [ vector( x, 1, 1, 0 ) ] );
107-
t.strictEqual( v, 1.0, 'returns expected value' );
107+
t.strictEqual( v, 3.0, 'returns expected value' );
108108

109109
t.end();
110110
});

‎lib/node_modules/@stdlib/stats/base/ndarray/smaxabs/test/test.native.js‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@
2323
var resolve = require( 'path' ).resolve;
2424
var tape = require( 'tape' );
2525
var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
26-
var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
26+
var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
2727
var Float32Array = require( '@stdlib/array/float32' );
2828
var ndarray = require( '@stdlib/ndarray/base/ctor' );
2929
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -81,7 +81,7 @@ tape( 'the function calculates the maximum absolute value of a one-dimensional n
8181

8282
x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
8383
v = smaxabs( [ vector( x, 3, 1, 0 ) ] );
84-
t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
84+
t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
8585

8686
x = new Float32Array( [ NaN ] );
8787
v = smaxabs( [ vector( x, 1, 1, 0 ) ] );
@@ -106,14 +106,14 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', opts, function
106106
t.end();
107107
});
108108

109-
tape( 'if provided an ndarray containing a single element, the function returns that element', opts, function test( t ) {
109+
tape( 'if provided an ndarray containing a single element, the function returns its absolute value', opts, function test( t ) {
110110
var x;
111111
var v;
112112

113-
x = new Float32Array( [ 1.0 ] );
113+
x = new Float32Array( [ -3.0 ] );
114114

115115
v = smaxabs( [ vector( x, 1, 1, 0 ) ] );
116-
t.strictEqual( v, 1.0, 'returns expected value' );
116+
t.strictEqual( v, 3.0, 'returns expected value' );
117117

118118
t.end();
119119
});

‎lib/node_modules/@stdlib/stats/base/ndarray/sminabs/README.md‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -227,7 +227,7 @@ int main( void ) {
227227
float v = stdlib_stats_sminabs( arrays );
228228

229229
// Print the result:
230-
printf( "min: %f\n", v );
230+
printf( "minabs: %f\n", v );
231231

232232
// Free allocated memory:
233233
stdlib_ndarray_free( x );

‎lib/node_modules/@stdlib/stats/base/ndarray/sminabs/examples/c/example.c‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -67,7 +67,7 @@ int main( void ) {
6767
float v = stdlib_stats_sminabs( arrays );
6868

6969
// Print the result:
70-
printf( "min: %f\n", v );
70+
printf( "minabs: %f\n", v );
7171

7272
// Free allocated memory:
7373
stdlib_ndarray_free( x );

‎lib/node_modules/@stdlib/stats/base/ndarray/sminabs/src/main.c‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -25,7 +25,7 @@
2525
* Computes the minimum absolute value of a one-dimensional single-precision floating-point ndarray.
2626
*
2727
* @param arrays list containing an input ndarray
28-
* @return minimum value
28+
* @return minimum absolute value
2929
*/
3030
float stdlib_stats_sminabs( const struct ndarray *arrays[] ) {
3131
const struct ndarray *x = arrays[ 0 ];

‎lib/node_modules/@stdlib/stats/base/ndarray/sminabs/test/test.main.js‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -97,14 +97,14 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', function test(
9797
t.end();
9898
});
9999

100-
tape( 'if provided an ndarray containing a single element, the function returns that element', function test( t ) {
100+
tape( 'if provided an ndarray containing a single element, the function returns its absolute value', function test( t ) {
101101
var x;
102102
var v;
103103

104-
x = new Float32Array( [ 1.0 ] );
104+
x = new Float32Array( [ -3.0 ] );
105105

106106
v = sminabs( [ vector( x, 1, 1, 0 ) ] );
107-
t.strictEqual( v, 1.0, 'returns expected value' );
107+
t.strictEqual( v, 3.0, 'returns expected value' );
108108

109109
t.end();
110110
});

‎lib/node_modules/@stdlib/stats/base/ndarray/sminabs/test/test.native.js‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -106,14 +106,14 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', opts, function
106106
t.end();
107107
});
108108

109-
tape( 'if provided an ndarray containing a single element, the function returns that element', opts, function test( t ) {
109+
tape( 'if provided an ndarray containing a single element, the function returns its absolute value', opts, function test( t ) {
110110
var x;
111111
var v;
112112

113-
x = new Float32Array( [ 1.0 ] );
113+
x = new Float32Array( [ -3.0 ] );
114114

115115
v = sminabs( [ vector( x, 1, 1, 0 ) ] );
116-
t.strictEqual( v, 1.0, 'returns expected value' );
116+
t.strictEqual( v, 3.0, 'returns expected value' );
117117

118118
t.end();
119119
});

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