diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.js index 169a011f0954..eddff1ee831b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.js @@ -21,11 +21,10 @@ // MODULES // var tape = require( 'tape' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var abs = require( '@stdlib/math/base/special/abs' ); var PINF = require( '@stdlib/constants/float64/pinf' ); var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); var variance = require( './../lib' ); @@ -76,9 +75,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function tape( 'the function returns the variance of a lognormal distribution', function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var y; var i; @@ -89,13 +86,7 @@ tape( 'the function returns the variance of a lognormal distribution', function for ( i = 0; i < mu.length; i++ ) { y = variance( mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.native.js index 4dcd889a7d99..f0435a75d155 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/test/test.native.js @@ -23,11 +23,10 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); var tryRequire = require( '@stdlib/utils/try-require' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var abs = require( '@stdlib/math/base/special/abs' ); var PINF = require( '@stdlib/constants/float64/pinf' ); var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); // VARIABLES // @@ -88,9 +87,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun tape( 'the function returns the variance of a lognormal distribution', opts, function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var y; var i; @@ -101,13 +98,7 @@ tape( 'the function returns the variance of a lognormal distribution', opts, fun for ( i = 0; i < mu.length; i++ ) { y = variance( mu[i], sigma[i] ); if ( expected[i] !== null ) { - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); } } t.end();