test: use exact equality check against fixtures

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/logistic/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' );
 
 
@@ -77,10 +75,8 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
 	t.end();
 });
 
-tape( 'the function returns the skewness of a logistic distribution', function test( t ) {
+tape( 'the function returns the skewness of a logistic distribution (always 0)', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var s;
 	var y;
@@ -91,15 +87,7 @@ tape( 'the function returns the skewness of a logistic distribution', function t
 	s = data.s;
 	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/logistic/skewness/test/test.native.js

@@ -93,9 +93,7 @@ tape( 'the function returns the skewness of a logistic distribution (always 0)',
 	s = data.s;
 	for ( i = 0; i < mu.length; i++ ) {
 		y = skewness( mu[i], s[i] );
-		if ( expected[i] !== null ) {
-			t.equal( y, 0.0, 'mu: '+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
-		}
+		t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });