feat:added test files

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: na
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: passed
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: failed
---

Author: jalajk3004

lib/node_modules/@stdlib/stats/base/dists/signrank/quantile/test/test.native.js

@@ -20,52 +20,58 @@
 
 // MODULES //
 
-var tape = require( 'tape' );
-var addon = require( './../src/addon.node' );
+// Include the function to be tested
+var tape = require('tape');
+
+// Replace `addon` with your actual function, for example:
+var quantileFunction = require('./path_to_your_function'); // Adjust the path accordingly
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
-    t.ok( true, __filename );
-    t.strictEqual( typeof addon, 'function', 'main export is a function' );
+// Check that the main export is a function
+tape('main export is a function', function test(t) {
+    t.ok(true, __filename);
+    t.strictEqual(typeof quantileFunction, 'function', 'main export is a function');
     t.end();
 });
 
-tape( 'the function returns expected quantiles for valid inputs', function test( t ) {
-    var probabilities = [ 0.1, 0.25, 0.5, 0.75, 0.9 ];
-    var sampleSizes = [ 3, 5, 7, 10 ];
+// Test that the function returns expected quantiles for valid inputs
+tape('the function returns expected quantiles for valid inputs', function test(t) {
+    var probabilities = [0.1, 0.25, 0.5, 0.75, 0.9];
+    var sampleSizes = [3, 5, 7, 10];
     var expected;
     var actual;
     var p;
     var n;
     var i;
     var j;
 
-    for ( i = 0; i < sampleSizes.length; i++ ) {
-        n = sampleSizes[ i ];
-        for ( j = 0; j < probabilities.length; j++ ) {
-            p = probabilities[ j ];
-            actual = addon( p, n );
+    for (i = 0; i < sampleSizes.length; i++) {
+        n = sampleSizes[i];
+        for (j = 0; j < probabilities.length; j++) {
+            p = probabilities[j];
+            actual = quantileFunction(p, n);
 
             // Compute expected value based on known results or formula (placeholder logic here):
-            expected  /* Insert logic or precomputed values */;
-            t.strictEqual( actual, expected, 'returns '+expected+' for p: '+p+', n: '+n );
+            expected /* Insert logic or precomputed values */;
+            t.strictEqual(actual, expected, 'returns ' + expected + ' for p: ' + p + ', n: ' + n);
         }
     }
     t.end();
 });
 
-tape( 'the function returns NaN for invalid inputs', function test( t ) {
-    var invalidProbabilities = [ -0.1, 1.1, NaN ];
-    var invalidSampleSizes = [ -5, 0, 3.5, NaN ];
+// Test that the function returns NaN for invalid inputs
+tape('the function returns NaN for invalid inputs', function test(t) {
+    var invalidProbabilities = [-0.1, 1.1, NaN];
+    var invalidSampleSizes = [-5, 0, 3.5, NaN];
     var i;
 
-    for ( i = 0; i < invalidProbabilities.length; i++ ) {
-        t.ok( isNaN( addon( invalidProbabilities[ i ], 5 ) ), 'returns NaN for invalid probability: '+invalidProbabilities[ i ] );
+    for (i = 0; i < invalidProbabilities.length; i++) {
+        t.ok(isNaN(quantileFunction(invalidProbabilities[i], 5)), 'returns NaN for invalid probability: ' + invalidProbabilities[i]);
     }
 
-    for ( i = 0; i < invalidSampleSizes.length; i++ ) {
-        t.ok( isNaN( addon( 0.5, invalidSampleSizes[ i ] ) ), 'returns NaN for invalid sample size: '+invalidSampleSizes[ i ] );
+    for (i = 0; i < invalidSampleSizes.length; i++) {
+        t.ok(isNaN(quantileFunction(0.5, invalidSampleSizes[i])), 'returns NaN for invalid sample size: ' + invalidSampleSizes[i]);
     }
     t.end();
 });