feat: add implementation of `stats/base/dists/anglit/entropy` by bhargava-d16 · Pull Request #10620 · stdlib-js/stdlib

bhargava-d16 · 2026-03-01T20:32:50Z

type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes. report:

task: lint_filenames status: passed
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task: lint_r status: na
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task: lint_c_examples status: missing_dependencies
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task: lint_shell status: na
task: lint_typescript_declarations status: passed
task: lint_typescript_tests status: passed
task: lint_license_headers status: passed ---

Progresses #9960

Description

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This pull request:

Adds complete implementation of stats/base/dists/anglit/entropy

Related Issues

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This pull request has the following related issues:

[RFC]: Add anglit distribution implementation #9960

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Read, understood, and followed the contributing guidelines.

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Signed-off-by: Bhargav Dabhade <bhargava2005dabhade@gmail.com> --- 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: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: missing_dependencies - task: lint_r status: na - task: lint_c_src status: missing_dependencies - task: lint_c_examples status: missing_dependencies - task: lint_c_benchmarks status: missing_dependencies - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: passed - task: lint_license_headers status: passed ---

--- 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: na - task: lint_javascript_benchmarks status: na - task: lint_python status: missing_dependencies - task: lint_r status: na - task: lint_c_src status: missing_dependencies - 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 ---

stdlib-bot · 2026-03-01T20:54:18Z

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/anglit/entropy	$\color{green}200/200$ $\color{green}+100.00%$	$\color{green}9/9$ $\color{green}+100.00%$	$\color{green}2/2$ $\color{green}+100.00%$	$\color{green}200/200$ $\color{green}+100.00%$

The above coverage report was generated for the changes in this PR.

Neerajpathak07

@bhargava-d16 Thanks for your PR's so far!! Also might be worth while to take a sneak peak through your other PR's to check if they follow similar changes.

Neerajpathak07 · 2026-03-02T06:51:29Z

+	});
+	sigma = uniform( 100, 0.1, 10.0, {
+		'dtype': 'float64'
+	});


Suggested change

});

arrayOpts = {

'dtype': 'float64'

});

mu = uniform( 100, -5.0, 5.0, arrayOpts );

sigma = uniform( 100, 0.1, 10.0, arrayOpts );

you can represent this a bit better this way.

Neerajpathak07 · 2026-03-02T06:51:47Z

+        Location parameter.
+
+    sigma: number
+        Scale parameter. Must be greater than `0`.


Suggested change

Scale parameter. Must be greater than `0`.

sigma: number

Scale parameter.

Correct me if I am wrong here but we only describe what the particular parameter represents. To state that is must be greater than 0 is stated by L7 where we expect sigma to be greater than 0 else it will return NaN

Neerajpathak07 · 2026-03-02T06:51:53Z

+
+int main( void ) {
+	double mu;
+	double sigma;


Suggested change

double sigma;

int main( void ) {

double sigma;

double mu;

Ordering by length

Neerajpathak07 · 2026-03-02T06:51:56Z

+		mu = random_uniform( -5.0, 5.0 );
+		sigma = random_uniform( 0.5, 5.0 );
+		y = stdlib_base_dists_anglit_entropy( mu, sigma );
+		printf( "mu: %lf, sigma: %lf, h(X;mu,sigma): %lf\n", mu, sigma, y );


Suggested change

printf( "mu: %lf, sigma: %lf, h(X;mu,sigma): %lf\n", mu, sigma, y );

printf( "μ: %lf, σ: %lf, h(X;μ,σ): %lf\n", mu, sigma, y );

Here we expect to represent the variables with their respective symbols.

Neerajpathak07 · 2026-03-02T06:52:08Z

+var mu = uniform( 10, -5.0, 5.0, opts );
+var sigma = uniform( 10, 0.5, 5.0, opts );
+
+logEachMap( 'μ: %lf, σ: %lf, H(μ,σ): %lf', mu, sigma, entropy );


Suggested change

logEachMap( 'μ: %lf, σ: %lf, H(μ,σ): %lf', mu, sigma, entropy );

logEachMap( 'μ: %lf, σ: %lf, H(X;μ,σ): %lf', mu, sigma, entropy );

Let's stay consistent with the symbolization to represent Entropy as per done in the corresponding JS file.

Neerajpathak07 · 2026-03-02T06:52:53Z

+var mu = uniform( 25, -5.0, 5.0, opts );
+var sigma = uniform( mu.length, 0.5, 5.0, opts );
+
+logEachMap( 'mu: %0.4f, sigma: %0.4f, h(X;mu,sigma): %0.4f', mu, sigma, entropy );


Do update the documented version with the changes in the corresponding JS file.

Neerajpathak07 · 2026-03-02T06:52:57Z

+```c
+The function accepts the following arguments:
+
+-   **x**: `[in] double` input value.


Suggested change

- **x**: `[in] double` input value.

Anglit Entropy utilizes only 2 parameters mu and sigma. I think describing x here causes discrepancies in the documentation.

Neerajpathak07 · 2026-03-02T06:53:01Z

+        mu = random_uniform( -5.0, 5.0 );
+        sigma = random_uniform( 0.5, 10.0 );
+        y = stdlib_base_dists_anglit_entropy( mu, sigma );
+        printf( "mu: %lf, sigma: %lf, h(X;mu,sigma): %lf\n", mu, sigma, y );


Same Comment but w.r.t the C examples.

--- 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: passed - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: missing_dependencies - 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 ---

bhargava-d16 · 2026-03-07T04:51:09Z

@Planeshifter I have made the requested changes. Please let me know if there are any further changes to be made

bhargava-d16 · 2026-03-13T19:57:40Z

@Planeshifter Just a follow up on this PR
Thanks!!

stdlib-bot added Statistics Issue or pull request related to statistical functionality. Needs Review A pull request which needs code review. labels Mar 1, 2026

Neerajpathak07 requested changes Mar 2, 2026

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Om-A-osc mentioned this pull request Mar 2, 2026

feat: add stats/base/dists/anglit/mean #10627

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feat: add implementation of `stats/base/dists/anglit/entropy`#10620

feat: add implementation of `stats/base/dists/anglit/entropy`#10620
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-	});
+    arrayOpts = {
+		'dtype': 'float64'
+	});
+	mu = uniform( 100, -5.0, 5.0, arrayOpts );
+	sigma = uniform( 100, 0.1, 10.0, arrayOpts );

	Scale parameter. Must be greater than `0`.
	sigma: number
	Scale parameter.

	printf( "mu: %lf, sigma: %lf, h(X;mu,sigma): %lf\n", mu, sigma, y );
	printf( "μ: %lf, σ: %lf, h(X;μ,σ): %lf\n", mu, sigma, y );

	logEachMap( 'μ: %lf, σ: %lf, H(μ,σ): %lf', mu, sigma, entropy );
	logEachMap( 'μ: %lf, σ: %lf, H(X;μ,σ): %lf', mu, sigma, entropy );

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