feat: add math/base/special/expf

---
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: passed
  - task: lint_javascript_src
    status: na
  - 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: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: passed
  - 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: vivekmaurya001

lib/node_modules/@stdlib/math/base/special/expf/benchmark/benchmark.js

@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
-var Float32Array = require( '@stdlib/array/float32' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var pkg = require( './../package.json' ).name;
 var expf = require( './../lib' );
@@ -37,10 +36,9 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 100.0 ) - 50.0;
-	}
+	x = uniform( len, -50.0, 50.0, {
+		'dtype': 'float32'
+	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
@@ -64,10 +62,9 @@ bench( pkg+'::built-in', function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 100.0 ) - 50.0;
-	}
+	x = uniform( len, -50.0, 50.0, {
+		'dtype': 'float32'
+	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/math/base/special/expf/benchmark/benchmark.native.js

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float32Array = require( '@stdlib/array/float32' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -46,10 +45,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu() * 100.0 ) - 50.0;
-	}
+	x = uniform( len, -50.0, 50.0, {
+		'dtype': 'float32'
+	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/math/base/special/expf/benchmark/c/native/benchmark.c

@@ -122,15 +122,15 @@ int main( void ) {
 	double elapsed;
 	int i;
 
- // Use the current time to seed the random number generator:
+	// Use the current time to seed the random number generator:
 	srand( time( NULL ) );
 
 	print_version();
 	for ( i = 0; i < REPEATS; i++ ) {
 		printf( "# c::native::%s\n", NAME );
 		elapsed = benchmark();
 		print_results( elapsed );
-		printf( "ok %d benchmark finished\n", i + 1 );
+		printf( "ok %d benchmark finished\n", i+1 );
 	}
 	print_summary( REPEATS, REPEATS );
 }

lib/node_modules/@stdlib/math/base/special/expf/docs/repl.txt

@@ -1,6 +1,7 @@
 
 {{alias}}( x )
-    Evaluates the natural exponential function as 
+
+    Evaluates the natural exponential function as
     a single-precision floating-point number.
 
     Parameters

lib/node_modules/@stdlib/math/base/special/expf/examples/c/Makefile

@@ -1,7 +1,7 @@
 #/
 # @license Apache-2.0
 #
-# Copyright (c) 2025 The Stdlib Authors.
+# Copyright (c) 2022 The Stdlib Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -70,7 +70,7 @@ else
 endif
 
 # List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
-INCLUDE ?= 
+INCLUDE ?=
 
 # List of source files:
 SOURCE_FILES ?=

lib/node_modules/@stdlib/math/base/special/expf/examples/index.js

@@ -21,13 +21,11 @@
 var uniform = require( '@stdlib/random/array/uniform' );
 var expf = require( './../lib' );
 
-var opts = {
+var x = uniform( 100, -50.0, 50.0, {
 	'dtype': 'float32'
-};
+});
 
-var x = uniform( 100, -50.0, 50.0, opts );
 var i;
-
 for ( i = 0; i < 100; i++ ) {
 	console.log( 'e^%f = %f', x, expf( x[ i ] ) );
 }

lib/node_modules/@stdlib/math/base/special/expf/src/main.c

@@ -212,7 +212,7 @@ float stdlib_base_expf( const float x ) {
 	if ( x > NEG_NEARZERO && x < NEARZERO ) {
 		return 1.0 + x;
 	}
- // Reduce and compute `r = hi - lo` for extra precision...
+	// Reduce and compute `r = hi - lo` for extra precision...
 	k = stdlib_base_truncf( ( LOG2_E * x ) + half[ xsb ] );
 	hi = x - ( k * LN2_HI );
 	lo = k * LN2_LO;

lib/node_modules/@stdlib/math/base/special/expf/test/fixtures/julia/runner.jl

@@ -19,7 +19,7 @@
 import JSON
 
 """
-    gen( domain, filepath )
+	gen( domain, filepath )
 
 Generate fixture data and write to file.
 

lib/node_modules/@stdlib/math/base/special/expf/test/test.js

@@ -148,18 +148,18 @@ tape( 'the function accurately computes the natural exponential function for ver
 
 tape( 'the function returns `0` if provided a `-infinity`', function test( t ) {
 	var val = expf( NINF );
-	t.equal( val, 0.0, 'returns 0' );
+	t.equal( val, 0.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function returns `+infinity` if provided a `+infinity`', function test( t ) {
 	var val = expf( PINF );
-	t.equal( val, PINF, 'returns +infinity' );
+	t.equal( val, PINF, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function returns `NaN` if provided a `NaN`', function test( t ) {
 	var val = expf( NaN );
-	t.equal( isnan( val ), true, 'returns NaN' );
+	t.equal( isnan( val ), true, 'returns expected value' );
 	t.end();
 });