chore: clean-up

---
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: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - 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: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # Mode
 
-> [half-normal][half-normal-distribution] distribution [mode][mode].
+> [Half-normal][half-normal-distribution] distribution [mode][mode].
 
 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
 
@@ -67,7 +67,7 @@ y = mode( 2.0 );
 // returns 0.0
 ```
 
-If provided `NaN` as any argument, the function returns `NaN`.
+If provided `NaN`, the function returns `NaN`.
 
 ```javascript
 var y = mode( NaN );

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/repl.txt

@@ -2,7 +2,7 @@
 {{alias}}( σ )
     Returns the mode of a half-normal distribution with scale parameter `σ`.
 
-    If provided `NaN` as any argument, the function returns `NaN`.
+    If provided `NaN`, the function returns `NaN`.
 
     If provided `σ <= 0`, the function returns `NaN`.
 

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/REQUIRE

@@ -23,14 +23,10 @@
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var mode = require( './../lib' );
 
 
-// FIXTURES //
-
-var data = require( './fixtures/julia/data.json' );
-
-
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
@@ -61,17 +57,14 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function
 });
 
 tape( 'the function returns the mode of a half-normal distribution', function test( t ) {
-	var expected;
 	var sigma;
 	var y;
 	var i;
 
-	expected = data.expected;
-	sigma = data.sigma;
-
+	sigma = uniform( 100, 0.1, 100.0 );
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = mode( sigma[i] );
-		t.strictEqual( y, expected[i], 'sigma: '+sigma[i] );
+		t.strictEqual( y, 0.0, 'returns expected value' );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/data.json

@@ -22,14 +22,10 @@
 
 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 NINF = require( '@stdlib/constants/float64/ninf' );
-
-
-// FIXTURES //
-
-var data = require( './fixtures/julia/data.json' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var tryRequire = require( '@stdlib/utils/try-require' );
 
 
 // VARIABLES //
@@ -70,16 +66,14 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun
 });
 
 tape( 'the function returns the mode of a half-normal distribution', opts, function test( t ) {
-	var expected;
 	var sigma;
 	var y;
 	var i;
 
-	expected = data.expected;
-	sigma = data.sigma;
+	sigma = uniform( 100, 0.1, 100.0 );
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = mode( sigma[i] );
-		t.strictEqual( y, expected[i], 'sigma: '+sigma[i] );
+		t.strictEqual( y, 0.0, 'returns expected value' );
 	}
 	t.end();
 });