diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.factory.js index a45ffcf98603..fa386f1eae37 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.factory.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 factory = require( './../lib/factory.js' ); @@ -155,9 +154,7 @@ tape( 'if `sigma` equals `0`, the created function evaluates a degenerate distri tape( 'the created function evaluates the logcdf for `x` given parameters `mu` and `sigma`', function test( t ) { var expected; var logcdf; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -170,13 +167,7 @@ tape( 'the created function evaluates the logcdf for `x` given parameters `mu` a for ( i = 0; i < x.length; i++ ) { logcdf = factory( mu[i], sigma[i] ); y = logcdf( x[i] ); - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1500.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 49 ), true, 'returns expected value' ); } t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.logcdf.js index 2485d17a087e..cd2524167d48 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.logcdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.logcdf.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 logcdf = require( './../lib' ); @@ -128,9 +127,7 @@ tape( 'if provided `sigma` equals `0`, the function evaluates a degenerate distr tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `sigma`', function test( t ) { var expected; - var delta; var sigma; - var tol; var mu; var x; var y; @@ -142,13 +139,7 @@ tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `sigm sigma = data.sigma; for ( i = 0; i < x.length; i++ ) { y = logcdf( x[i], mu[i], sigma[i] ); - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 1500.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 49 ), true, 'returns expected value' ); } t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.native.js index 860daf215248..d3fbaf59dafe 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/test/test.native.js @@ -148,11 +148,7 @@ tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `sigm sigma = data.sigma; for ( i = 0; i < x.length; i++ ) { y = logcdf( x[i], mu[i], sigma[i] ); - if ( y === expected[i] ) { - t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] ); - } else { - t.ok( isAlmostSameValue( y, expected[i], 1500 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'.' ); - } + t.strictEqual( isAlmostSameValue( y, expected[ i ], 49 ), true, 'returns expected value' ); } t.end(); });