test: correcly pass options for native tests

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/test/test.js

@@ -22,10 +22,8 @@
 
 var tape = require( 'tape' );
 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 skewness = require( './../lib' );
 
 
@@ -79,8 +77,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
 
 tape( 'the function returns the skewness of a raised cosine distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var s;
 	var y;
@@ -92,13 +88,7 @@ tape( 'the function returns the skewness of a raised cosine distribution', funct
 	for ( i = 0; i < mu.length; i++ ) {
 		y = skewness( mu[i], s[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();

lib/node_modules/@stdlib/stats/base/dists/cosine/skewness/test/test.native.js

@@ -23,10 +23,8 @@
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 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 tryRequire = require( '@stdlib/utils/try-require' );
 
 
@@ -88,8 +86,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', opts, functio
 
 tape( 'the function returns the stdev of a raised cosine distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var s;
 	var y;
@@ -101,13 +97,7 @@ tape( 'the function returns the stdev of a raised cosine distribution', opts, fu
 	for ( i = 0; i < mu.length; i++ ) {
 		y = stdev( mu[i], s[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();

lib/node_modules/@stdlib/stats/base/dists/frechet/variance/test/test.native.js

@@ -51,7 +51,7 @@ tape( 'main export is a function', opts, function test( t ) {
 	t.end();
 });
 
-tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
 	var y = variance( NaN, 1.0, 0.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	y = variance( 1.0, NaN, 0.0 );

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/logpdf/test/test.native.js

@@ -91,7 +91,7 @@ tape( 'if provided a number less than or equal to zero for `x` and a finite `a`
 	t.end();
 });
 
-tape( 'if provided a nonpositive `a`, the function returns `NaN`', function test( t ) {
+tape( 'if provided a nonpositive `a`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = logpdf( 2.0, 0.0, 2.0 );

lib/node_modules/@stdlib/stats/base/dists/normal/entropy/test/test.native.js

@@ -38,25 +38,28 @@ var data = require( './fixtures/julia/data.json' );
 // VARIABLES //
 
 var entropy = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( entropy instanceof Error )
+};
 
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof entropy, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
 	var y = entropy( NaN, 1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	y = entropy( 1.0, NaN );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function test( t ) {
+tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = entropy( 2.0, 0.0 );
@@ -83,7 +86,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function
 	t.end();
 });
 
-tape( 'the function returns the differential entropy of a normal distribution', function test( t ) {
+tape( 'the function returns the differential entropy of a normal distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var sigma;

lib/node_modules/@stdlib/stats/base/dists/triangular/variance/test/test.native.js

@@ -43,13 +43,13 @@ var data = require( './fixtures/julia/data.json' );
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof variance, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
 	var v = variance( NaN, 1.0, 0.5 );
 	t.equal( isnan( v ), true, 'returns NaN' );
 
@@ -62,7 +62,7 @@ tape( 'if provided `NaN` for any parameter, the function returns `NaN`', functio
 	t.end();
 });
 
-tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns `NaN`', function test( t ) {
+tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = variance( -1.0, -1.1, -1.0 );