test: fix addon tests

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

Author: kgryte

Diff for: lib/node_modules/@stdlib/stats/base/dists/logistic/logpdf/test/test.native.js

@@ -20,13 +20,14 @@
 
 // MODULES //
 
+var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
 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 logpdf = require( './../lib' );
 
 
 // FIXTURES //
@@ -36,15 +37,23 @@ var negativeMean = require( './fixtures/julia/negative_mean.json' );
 var largeVariance = require( './fixtures/julia/large_variance.json' );
 
 
+// VARIABLES //
+
+var logpdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logpdf 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 logpdf, '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 = logpdf( NaN, 0.0, 1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	y = logpdf( 0.0, NaN, 1.0 );
@@ -54,19 +63,19 @@ tape( 'if provided `NaN` for any parameter, the function returns `NaN`', functio
 	t.end();
 });
 
-tape( 'if provided `+infinity` for `x` and a finite `mu` and `s`, the function returns `-infinity`', function test( t ) {
+tape( 'if provided `+infinity` for `x` and a finite `mu` and `s`, the function returns `-infinity`', opts, function test( t ) {
 	var y = logpdf( PINF, 0.0, 1.0 );
 	t.equal( y, NINF, 'returns -infinity' );
 	t.end();
 });
 
-tape( 'if provided `-infinity` for `x` and a finite `mu` and `s`, the function returns `-infinity`', function test( t ) {
+tape( 'if provided `-infinity` for `x` and a finite `mu` and `s`, the function returns `-infinity`', opts, function test( t ) {
 	var y = logpdf( NINF, 0.0, 1.0 );
 	t.equal( y, NINF, 'returns -infinity' );
 	t.end();
 });
 
-tape( 'if provided a negative `s`, the function returns `NaN`', function test( t ) {
+tape( 'if provided a negative `s`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = logpdf( 2.0, 2.0, -1.0 );
@@ -90,7 +99,7 @@ tape( 'if provided a negative `s`, the function returns `NaN`', function test( t
 	t.end();
 });
 
-tape( 'if provided `s` equal to `0`, the function evaluates a degenerate distribution centered at `mu`', function test( t ) {
+tape( 'if provided `s` equal to `0`, the function evaluates a degenerate distribution centered at `mu`', opts, function test( t ) {
 	var y;
 
 	y = logpdf( 2.0, 2.0, 0.0 );
@@ -111,7 +120,7 @@ tape( 'if provided `s` equal to `0`, the function evaluates a degenerate distrib
 	t.end();
 });
 
-tape( 'the function evaluates the logpdf for `x` given positive `mu`', function test( t ) {
+tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
@@ -140,7 +149,7 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', function
 	t.end();
 });
 
-tape( 'the function evaluates the logpdf for `x` given negative `mu`', function test( t ) {
+tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
@@ -169,7 +178,7 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', function
 	t.end();
 });
 
-tape( 'the function evaluates the logpdf for `x` given large variance ( = large `s` )', function test( t ) {
+tape( 'the function evaluates the logpdf for `x` given large variance ( = large `s` )', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;