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: passed
  - task: lint_repl_help
    status: na
  - 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: na
  - task: lint_python
    status: missing_dependencies
  - 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
---

---
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: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: na
---

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # Cumulative Distribution Function
 
-> Planck distribution [cumulative distribution function][cdf].
+> Planck (discrete exponential) distribution [cumulative distribution function][cdf].
 
 <section class="intro">
 
@@ -34,7 +34,7 @@ F(x;\lambda) = 1 - e^{-\lambda (\lfloor x \rfloor + 1)}
 
 <!-- </equation> -->
 
-where `λ` is the shape parameter. `x` denotes the count of events in a quantized system.
+where `λ` is the shape parameter and `x` denotes the count of events in a quantized system.
 
 </section>
 
@@ -50,7 +50,7 @@ var cdf = require( '@stdlib/stats/base/dists/planck/cdf' );
 
 #### cdf( x, lambda )
 
-Evaluates the [cumulative distribution function][cdf] for a Planck distribution with shape parameter `λ`.
+Evaluates the [cumulative distribution function][cdf] for a Planck (discrete exponential) distribution with shape parameter `lambda`.
 
 ```javascript
 var y = cdf( 2.0, 0.5 );
@@ -70,7 +70,7 @@ y = cdf( 0.0, NaN );
 // returns NaN
 ```
 
-If provided a success probability `λ` which is nonpositive, the function returns `NaN`.
+If provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`.
 
 ```javascript
 var y = cdf( 2.0, -1.0 );
@@ -79,7 +79,7 @@ var y = cdf( 2.0, -1.0 );
 
 #### cdf.factory( lambda )
 
-Returns a function for evaluating the [cumulative distribution function][cdf] of a Planck distribution with shape parameter `λ`.
+Returns a function for evaluating the [cumulative distribution function][cdf] of a Planck (discrete exponential) distribution with shape parameter `lambda`.
 
 ```javascript
 var mycdf = cdf.factory( 1.5 );
@@ -105,8 +105,8 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var cdf = require( '@stdlib/stats/base/dists/planck/cdf' );
 
-var lambda = uniform( 10, 0.1, 5.0 );
 var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
 
 var y;
 var i;

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/examples/index.js

@@ -22,8 +22,8 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var cdf = require( './../lib' );
 
-var lambda = uniform( 10, 0.1, 5.0 );
 var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
 
 var y;
 var i;

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/lib/factory.js

@@ -50,7 +50,7 @@ function factory( lambda ) {
 	return cdf;
 
 	/**
-	* Evaluates the cumulative distribution function (CDF) for a geometric distribution.
+	* Evaluates the cumulative distribution function (CDF) for a Planck distribution.
 	*
 	* @private
 	* @param {number} x - input value
@@ -70,8 +70,7 @@ function factory( lambda ) {
 		if ( x === PINF ) {
 			return 1.0;
 		}
-		x = floor( x );
-		return -expm1( -lambda * (x + 1) );
+		return -expm1( -lambda * ( floor(x)+1.0 ) );
 	}
 }
 

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/lib/main.js

@@ -70,8 +70,7 @@ function cdf( x, lambda ) {
 	if ( x === PINF ) {
 		return 1.0;
 	}
-	x = floor( x );
-	return -expm1( -lambda * (x + 1) );
+	return -expm1( -lambda * ( floor(x)+1.0 ) );
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/base/dists/planck/cdf",
   "version": "0.0.0",
-  "description": "Planck distribution cumulative distribution function (CDF).",
+  "description": "Planck (discrete exponential) distribution cumulative distribution function (CDF).",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/test/fixtures/python/runner.py

@@ -74,7 +74,7 @@ def main():
     """Generate fixture data."""
     # Large shape paramter:
     x = np.round(np.random.rand(1000) * 10.0)
-    lam = (np.random.rand(1000) * 10) + 10
+    lam = (np.random.rand(1000) * 10.0) + 10.0
     gen(x, lam, "large_lambda.json")
 
     # Small shape parameter:

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/test/test.cdf.js

@@ -70,6 +70,9 @@ tape( 'if provided a negative number for `x` and a valid `lambda`, the function
 tape( 'if provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`', function test( t ) {
 	var y;
 
+	y = cdf( 2.0, 0.0 );
+	t.equal( isnan( y ), true, 'returns expected value' );
+
 	y = cdf( 2.0, -1.0 );
 	t.equal( isnan( y ), true, 'returns expected value' );
 
@@ -79,7 +82,7 @@ tape( 'if provided a shape parameter `lambda` which is nonpositive, the function
 	t.end();
 });
 
-tape( 'the function evaluates the cdf for `x` given small parameter `lambda`', function test( t ) {
+tape( 'the function evaluates the CDF for `x` given small parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
 	var delta;
@@ -97,14 +100,14 @@ tape( 'the function evaluates the cdf for `x` given small parameter `lambda`', f
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
 	t.end();
 });
 
-tape( 'the function evaluates the cdf for `x` given large parameter `lambda`', function test( t ) {
+tape( 'the function evaluates the CDF for `x` given large parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
 	var delta;
@@ -122,7 +125,7 @@ tape( 'the function evaluates the cdf for `x` given large parameter `lambda`', f
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/test/test.factory.js

@@ -93,6 +93,12 @@ tape( 'if provided a shape parameter `lambda` which is nonpositive, the created
 	var cdf;
 	var y;
 
+	cdf = factory( 0.0 );
+	y = cdf( 2.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+	y = cdf( 0.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
 	cdf = factory( -1.0 );
 	y = cdf( 2.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
@@ -108,7 +114,7 @@ tape( 'if provided a shape parameter `lambda` which is nonpositive, the created
 	t.end();
 });
 
-tape( 'the created function evaluates the cdf for `x` given small parameter `lambda`', function test( t ) {
+tape( 'the created function evaluates the CDF for `x` given small parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
 	var delta;
@@ -128,14 +134,14 @@ tape( 'the created function evaluates the cdf for `x` given small parameter `lam
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
 	t.end();
 });
 
-tape( 'the created function evaluates the cdf for `x` given large parameter `lambda`', function test( t ) {
+tape( 'the created function evaluates the CDF for `x` given large parameter `lambda`', function test( t ) {
 	var expected;
 	var lambda;
 	var delta;
@@ -155,7 +161,7 @@ tape( 'the created function evaluates the cdf for `x` given large parameter `lam
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 20.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}

lib/node_modules/@stdlib/stats/base/dists/planck/cdf/test/test.js

@@ -32,7 +32,7 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'attached to the main export is a factory method for generating `cdf` functions', function test( t ) {
+tape( 'attached to the main export is a `factory` method for generating CDF functions', function test( t ) {
 	t.equal( typeof cdf.factory, 'function', 'exports a factory method' );
 	t.end();
 });