From 702cfe4a3c3881dafaed4eaa34c9b0e0052de148 Mon Sep 17 00:00:00 2001
From: aayush0325 <ayush25khanna@gmail.com>
Date: Wed, 8 Jan 2025 20:10:18 +0000
Subject: [PATCH 1/3] feat: add C ndarray interface and refactor implementation

---
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: 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: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: passed
  - 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/stats/base/dsemch/README.md       | 164 ++++++++++++++----
 .../stats/base/dsemch/benchmark/benchmark.js  |  18 +-
 .../base/dsemch/benchmark/benchmark.native.js |  14 +-
 .../dsemch/benchmark/benchmark.ndarray.js     |  18 +-
 .../benchmark/benchmark.ndarray.native.js     |  14 +-
 .../dsemch/benchmark/c/benchmark.length.c     |  52 +++++-
 .../@stdlib/stats/base/dsemch/docs/repl.txt   |  32 ++--
 .../stats/base/dsemch/docs/types/index.d.ts   |  12 +-
 .../stats/base/dsemch/examples/c/example.c    |   9 +-
 .../stats/base/dsemch/examples/index.js       |  14 +-
 .../dsemch/include/stdlib/stats/base/dsemch.h |   9 +-
 .../@stdlib/stats/base/dsemch/lib/dsemch.js   |  13 +-
 .../stats/base/dsemch/lib/dsemch.native.js    |   9 +-
 .../@stdlib/stats/base/dsemch/lib/index.js    |   7 +-
 .../@stdlib/stats/base/dsemch/lib/ndarray.js  |  12 +-
 .../stats/base/dsemch/lib/ndarray.native.js   |  20 +--
 .../@stdlib/stats/base/dsemch/manifest.json   |  51 ++++--
 .../@stdlib/stats/base/dsemch/src/addon.c     |  27 ++-
 .../@stdlib/stats/base/dsemch/src/dsemch.c    |  35 ----
 .../@stdlib/stats/base/dsemch/src/main.c      |  51 ++++++
 .../stats/base/dsemch/test/test.dsemch.js     |  13 +-
 .../base/dsemch/test/test.dsemch.native.js    |  13 +-
 .../stats/base/dsemch/test/test.ndarray.js    |  13 +-
 .../base/dsemch/test/test.ndarray.native.js   |  13 +-
 24 files changed, 394 insertions(+), 239 deletions(-)
 delete mode 100644 lib/node_modules/@stdlib/stats/base/dsemch/src/dsemch.c
 create mode 100644 lib/node_modules/@stdlib/stats/base/dsemch/src/main.c

diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/README.md b/lib/node_modules/@stdlib/stats/base/dsemch/README.md
index 041f4cca147b..a3aeb5ee759a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/README.md
@@ -70,7 +70,7 @@ where `s` is the sample [standard deviation][standard-deviation].
 var dsemch = require( '@stdlib/stats/base/dsemch' );
 ```
 
-#### dsemch( N, correction, x, stride )
+#### dsemch( N, correction, x, strideX )
 
 Computes the [standard error of the mean][standard-error] of a double-precision floating-point strided array `x` using a one-pass trial mean algorithm.
 
@@ -78,9 +78,8 @@ Computes the [standard error of the mean][standard-error] of a double-precision
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
 
-var v = dsemch( N, 1, x, 1 );
+var v = dsemch( x.length, 1, x, 1 );
 // returns ~1.20185
 ```
 
@@ -89,18 +88,16 @@ The function has the following parameters:
 -   **N**: number of indexed elements.
 -   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the corrected sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [standard error of the mean][standard-error] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [standard error of the mean][standard-error] of every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsemch( N, 1, x, 2 );
+var v = dsemch( 4, 1, x, 2 );
 // returns 1.25
 ```
 
@@ -110,18 +107,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dsemch( N, 1, x1, 2 );
+var v = dsemch( 4, 1, x1, 2 );
 // returns 1.25
 ```
 
-#### dsemch.ndarray( N, correction, x, stride, offset )
+#### dsemch.ndarray( N, correction, x, strideX, offsetX )
 
 Computes the [standard error of the mean][standard-error] of a double-precision floating-point strided array using a one-pass trial mean algorithm and alternative indexing semantics.
 
@@ -129,26 +123,23 @@ Computes the [standard error of the mean][standard-error] of a double-precision
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
 
-var v = dsemch.ndarray( N, 1, x, 1, 0 );
+var v = dsemch.ndarray( x.length, 1, x, 1, 0 );
 // returns ~1.20185
 ```
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [standard error of the mean][standard-error] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [standard error of the mean][standard-error] for every other element in `x` starting from the second element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsemch.ndarray( N, 1, x, 2, 1 );
+var v = dsemch.ndarray( 4, 1, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -175,18 +166,12 @@ var v = dsemch.ndarray( N, 1, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var dsemch = require( '@stdlib/stats/base/dsemch' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+    'dtype': 'float64'
+});
 console.log( x );
 
 var v = dsemch( x.length, 1, x, 1 );
@@ -197,6 +182,125 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dsemch.h"
+```
+
+#### stdlib_strided_dsemch( N, correction, \*X, strideX )
+
+Computes the [standard error of the mean][standard-error] of a double-precision floating-point strided array using a one-pass trial mean algorithm.
+
+```c
+const double x[] = { 1.0, -2.0, 2.0 };
+
+double v = stdlib_strided_dsemch( 3, 1.0, x, 1 );
+// returns ~1.20185
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the corrected sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dsemch( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dsemch_ndarray( N, correction, \*X, strideX, offsetX )
+
+Computes the [standard error of the mean][standard-error] of a double-precision floating-point strided array using a one-pass trial mean algorithm and alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, -2.0, 2.0 };
+
+double v = stdlib_strided_dsemch_ndarray( 3, 1.0, x, 1, 0 );
+// returns ~1.20185
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the corrected sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dsemch_ndarray( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dsemch.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+
+    // Specify the number of elements:
+    const int N = 4;
+
+    // Specify the stride length:
+    const int strideX = 2;
+
+    // Compute the standard error of the mean:
+    double v = stdlib_strided_dsemch( N, 1.0, x, strideX );
+
+    // Print the result:
+    printf( "standard error of the mean: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 * * *
 
 <section class="references">
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.js
index bdda08b18894..731a607e2a5a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dsemch = require( './../lib/dsemch.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var dsemch = require( './../lib/dsemch.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.native.js
index cbdf2e52a2ae..e3bc32fa8efc 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var dsemch = tryRequire( resolve( __dirname, './../lib/dsemch.native.js' ) );
 var opts = {
 	'skip': ( dsemch instanceof Error )
 };
+var options = {
+	'dtype': 'float64'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.js
index 25dfc554f7f5..b473ccdb0a31 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dsemch = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var dsemch = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.native.js
index 5f38ff7b8a6b..f00b8c81df76 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var dsemch = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsemch instanceof Error )
 };
+var options = {
+	'dtype': 'float64'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/c/benchmark.length.c
index 56179cd0aef0..bc1fc6a63c72 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/benchmark/c/benchmark.length.c
@@ -94,7 +94,7 @@ static double rand_double( void ) {
 * @param len          array length
 * @return             elapsed time in seconds
 */
-static double benchmark( int iterations, int len ) {
+static double benchmark1( int iterations, int len ) {
 	double elapsed;
 	double x[ len ];
 	double v;
@@ -107,7 +107,42 @@ static double benchmark( int iterations, int len ) {
 	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
-		v = stdlib_strided_dsemch( len, 1, x, 1 );
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_dsemch( len, 1.0, x, 1 );
+		if ( v != v ) {
+			printf( "should not return NaN\n" );
+			break;
+		}
+	}
+	elapsed = tic() - t;
+	if ( v != v ) {
+		printf( "should not return NaN\n" );
+	}
+	return elapsed;
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations   number of iterations
+* @param len          array length
+* @return             elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+	double elapsed;
+	double x[ len ];
+	double v;
+	double t;
+	int i;
+
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+	}
+	v = 0.0;
+	t = tic();
+	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_dsemch_ndarray( len, 1.0, x, 1, 0 );
 		if ( v != v ) {
 			printf( "should not return NaN\n" );
 			break;
@@ -142,7 +177,18 @@ int main( void ) {
 		for ( j = 0; j < REPEATS; j++ ) {
 			count += 1;
 			printf( "# c::%s:len=%d\n", NAME, len );
-			elapsed = benchmark( iter, len );
+			elapsed = benchmark1( iter, len );
+			print_results( iter, elapsed );
+			printf( "ok %d benchmark finished\n", count );
+		}
+	}
+	for ( i = MIN; i <= MAX; i++ ) {
+		len = pow( 10, i );
+		iter = ITERATIONS / pow( 10, i-1 );
+		for ( j = 0; j < REPEATS; j++ ) {
+			count += 1;
+			printf( "# c::%s:ndarray:len=%d\n", NAME, len );
+			elapsed = benchmark2( iter, len );
 			print_results( iter, elapsed );
 			printf( "ok %d benchmark finished\n", count );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
index 2b814a441db2..3819875d6003 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
@@ -1,10 +1,10 @@
 
-{{alias}}( N, correction, x, stride )
+{{alias}}( N, correction, x, strideX )
     Computes the standard error of the mean for a double-precision floating-
     point strided array using a one-pass trial mean algorithm.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -31,8 +31,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     Returns
     -------
@@ -46,22 +46,19 @@
     > {{alias}}( x.length, 1, x, 1 )
     ~1.20185
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, 1, x, stride )
+    > {{alias}}( 3, 1, x, 2 )
     ~1.20185
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, 1, x1, stride )
+    > {{alias}}( 3, 1, x1, 2 )
     ~1.20185
 
-{{alias}}.ndarray( N, correction, x, stride, offset )
+
+{{alias}}.ndarray( N, correction, x, strideX, offsetX )
     Computes the standard error of the mean for a double-precision floating-
     point strided array using a one-pass trial mean algorithm and alternative
     indexing semantics.
@@ -90,10 +87,10 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -110,8 +107,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, 1, x, 2, 1 )
+    > {{alias}}.ndarray( 3, 1, x, 2, 1 )
     ~1.20185
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dsemch/docs/types/index.d.ts
index 7d03bbd84042..df8eb72cdd06 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/docs/types/index.d.ts
@@ -28,7 +28,7 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns standard error of the mean
 	*
 	* @example
@@ -39,7 +39,7 @@ interface Routine {
 	* var v = dsemch( x.length, 1, x, 1 );
 	* // returns ~1.20185
 	*/
-	( N: number, correction: number, x: Float64Array, stride: number ): number;
+	( N: number, correction: number, x: Float64Array, strideX: number ): number;
 
 	/**
 	* Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm and alternative indexing semantics.
@@ -47,8 +47,8 @@ interface Routine {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns standard error of the mean
 	*
 	* @example
@@ -59,7 +59,7 @@ interface Routine {
 	* var v = dsemch.ndarray( x.length, 1, x, 1, 0 );
 	* // returns ~1.20185
 	*/
-	ndarray( N: number, correction: number, x: Float64Array, stride: number, offset: number ): number;
+	ndarray( N: number, correction: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -68,7 +68,7 @@ interface Routine {
 * @param N - number of indexed elements
 * @param correction - degrees of freedom adjustment
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns standard error of the mean
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dsemch/examples/c/example.c
index bb5d65f6a8f7..3fc66e0a5536 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/dsemch.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+	const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
 
 	// Specify the number of elements:
-	int64_t N = 4;
+	const int N = 4;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the standard error of the mean:
-	double v = stdlib_strided_dsemch( N, 1, x, stride );
+	double v = stdlib_strided_dsemch( N, 1.0, x, strideX );
 
 	// Print the result:
 	printf( "standard error of the mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/examples/index.js b/lib/node_modules/@stdlib/stats/base/dsemch/examples/index.js
index 95e35a1ca45c..dced37dc3536 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/examples/index.js
@@ -18,18 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var dsemch = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+	'dtype': 'float64'
+});
 console.log( x );
 
 var v = dsemch( x.length, 1, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/include/stdlib/stats/base/dsemch.h b/lib/node_modules/@stdlib/stats/base/dsemch/include/stdlib/stats/base/dsemch.h
index 191e1c1c58b7..c0b72ef3bab2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/include/stdlib/stats/base/dsemch.h
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/include/stdlib/stats/base/dsemch.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DSEMCH_H
 #define STDLIB_STATS_BASE_DSEMCH_H
 
-#include <stdint.h>
+#include "stdlib/blas/base/shared.h"
 
 /*
 * If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
@@ -31,7 +31,12 @@ extern "C" {
 /**
 * Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
 */
-double stdlib_strided_dsemch( const int64_t N, const double correction, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dsemch)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm and alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dsemch_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.js b/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.js
index 673ebbde16c7..23ac8a3d1d6c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.js
@@ -20,8 +20,8 @@
 
 // MODULES //
 
-var dvariancech = require( '@stdlib/stats/base/dvariancech' );
-var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -32,20 +32,19 @@ var sqrt = require( '@stdlib/math/base/special/sqrt' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} standard error of the mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsemch( N, 1, x, 1 );
+* var v = dsemch( x.length, 1, x, 1 );
 * // returns ~1.20185
 */
-function dsemch( N, correction, x, stride ) {
-	return sqrt( dvariancech( N, correction, x, stride ) / N );
+function dsemch( N, correction, x, strideX ) {
+	return ndarray( N, correction, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.native.js
index 3d8e63ab74e6..5a830f600dcf 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/lib/dsemch.native.js
@@ -31,20 +31,19 @@ var addon = require( './../src/addon.node' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} standard error of the mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsemch( N, 1, x, 1 );
+* var v = dsemch( x.length, 1, x, 1 );
 * // returns ~1.20185
 */
-function dsemch( N, correction, x, stride ) {
-	return addon( N, correction, x, stride );
+function dsemch( N, correction, x, strideX ) {
+	return addon( N, correction, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/lib/index.js b/lib/node_modules/@stdlib/stats/base/dsemch/lib/index.js
index d98bffc4793e..dc6a93fa23f6 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/lib/index.js
@@ -28,20 +28,17 @@
 * var dsemch = require( '@stdlib/stats/base/dsemch' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsemch( N, 1, x, 1 );
+* var v = dsemch( x.length, 1, x, 1 );
 * // returns ~1.20185
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dsemch = require( '@stdlib/stats/base/dsemch' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsemch.ndarray( N, 1, x, 2, 1 );
+* var v = dsemch.ndarray( 4, 1, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.js
index a89d54ef3f02..fae0331d9ae7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.js
@@ -32,22 +32,20 @@ var sqrt = require( '@stdlib/math/base/special/sqrt' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} standard error of the mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsemch( N, 1, x, 2, 1 );
+* var v = dsemch( 4, 1, x, 2, 1 );
 * // returns 1.25
 */
-function dsemch( N, correction, x, stride, offset ) {
-	return sqrt( dvariancech( N, correction, x, stride, offset ) / N );
+function dsemch( N, correction, x, strideX, offsetX ) {
+	return sqrt( dvariancech( N, correction, x, strideX, offsetX ) / N );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.native.js
index 96f9ba396999..f011bf242bb5 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dsemch.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -32,27 +31,20 @@ var addon = require( './dsemch.native.js' );
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} standard error of the mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsemch( N, 1, x, 2, 1 );
+* var v = dsemch( 4, 1, x, 2, 1 );
 * // returns 1.25
 */
-function dsemch( N, correction, x, stride, offset ) {
-	var view;
-	if ( stride < 0 ) {
-		offset += (N-1) * stride;
-	}
-	view = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
-	return addon( N, correction, view, stride );
+function dsemch( N, correction, x, strideX, offsetX ) {
+	return addon.ndarray( N, correction, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/manifest.json b/lib/node_modules/@stdlib/stats/base/dsemch/manifest.json
index 078490afb8b9..a12f1212f754 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/manifest.json
@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -25,17 +28,19 @@
   "confs": [
     {
       "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dsemch.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/special/sqrt",
         "@stdlib/stats/base/dvariancech",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
@@ -47,33 +52,55 @@
     },
     {
       "task": "benchmark",
+      "wasm": false,
       "src": [
-        "./src/dsemch.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/special/sqrt",
         "@stdlib/stats/base/dvariancech"
       ]
     },
     {
       "task": "examples",
+      "wasm": false,
       "src": [
-        "./src/dsemch.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/stats/base/dvariancech"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
       ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/special/sqrt",
         "@stdlib/stats/base/dvariancech"
       ]
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsemch/src/addon.c
index 6b093b249499..827e53212235 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/src/addon.c
@@ -17,6 +17,7 @@
 */
 
 #include "stdlib/stats/base/dsemch.h"
+#include "stdlib/blas/base/shared.h"
 #include "stdlib/napi/export.h"
 #include "stdlib/napi/argv.h"
 #include "stdlib/napi/argv_int64.h"
@@ -35,11 +36,29 @@
 static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
-	STDLIB_NAPI_ARGV_INT64( env, stride, argv, 3 );
 	STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
-	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, stride, argv, 2 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsemch( N, correction, X, stride ), v );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 )
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsemch)( N, correction, X, strideX ), v );
 	return v;
 }
 
-STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @return       Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 4 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsemch_ndarray)( N, correction, X, strideX, offsetX ), v );
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/src/dsemch.c b/lib/node_modules/@stdlib/stats/base/dsemch/src/dsemch.c
deleted file mode 100644
index de4ceb9e44c7..000000000000
--- a/lib/node_modules/@stdlib/stats/base/dsemch/src/dsemch.c
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2020 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.
-* You may obtain a copy of the License at
-*
-*    http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-#include "stdlib/stats/base/dsemch.h"
-#include "stdlib/stats/base/dvariancech.h"
-#include <stdint.h>
-#include <math.h>
-
-/**
-* Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
-*
-* @param N           number of indexed elements
-* @param correction  degrees of freedom adjustment
-* @param X           input array
-* @param stride      stride length
-* @return            output value
-*/
-double stdlib_strided_dsemch( const int64_t N, const double correction, const double *X, const int64_t stride ) {
-	return sqrt( stdlib_strided_dvariancech( N, correction, X, stride ) / (double)N );
-}
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c b/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c
new file mode 100644
index 000000000000..20f02faba5ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c
@@ -0,0 +1,51 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2020 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.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dsemch.h"
+#include "stdlib/stats/base/dvariancech.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
+#include "stdlib/math/base/special/sqrt.h"
+
+/**
+* Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
+*
+* @param N            number of indexed elements
+* @param correction   degrees of freedom adjustment
+* @param X            input array
+* @param strideX      stride length
+* @return             output value
+*/
+double API_SUFFIX(stdlib_strided_dsemch)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX ) {
+	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+	return API_SUFFIX(stdlib_strided_dsemch_ndarray)( N, correction, X, strideX, ox );
+}
+
+/**
+* Computes the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm and alternative indexing semantics.
+*
+* @param N            number of indexed elements
+* @param correction   degrees of freedom adjustment
+* @param X            input array
+* @param strideX      stride length
+* @param offsetX      starting index for X
+* @return             output value
+*/
+double API_SUFFIX(stdlib_strided_dsemch_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	return stdlib_base_sqrt( API_SUFFIX(stdlib_strided_dvariancech_ndarray)( N, correction, X, strideX, offsetX ) / (double)N );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.js b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.js
index ca5d41e7941c..126c1f78d7ff 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
@@ -138,7 +137,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -153,15 +151,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, 2 );
+	v = dsemch( 4, 1, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -176,8 +172,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, -2 );
+	v = dsemch( 4, 1, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -198,7 +193,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -214,9 +208,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsemch( N, 1, x1, 2 );
+	v = dsemch( 4, 1, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.native.js
index cffa92e5d31f..281aa6036d43 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.dsemch.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
@@ -147,7 +146,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -162,15 +160,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, 2 );
+	v = dsemch( 4, 1, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -185,8 +181,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, -2 );
+	v = dsemch( 4, 1, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -207,7 +202,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -223,9 +217,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsemch( N, 1, x1, 2 );
+	v = dsemch( 4, 1, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.js
index d1e4497a4e9a..797b67660671 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
@@ -138,7 +137,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -153,15 +151,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, 2, 0 );
+	v = dsemch( 4, 1, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -176,8 +172,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, -2, 6 );
+	v = dsemch( 4, 1, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -196,7 +191,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -210,9 +204,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsemch( N, 1, x, 2, 1 );
+	v = dsemch( 4, 1, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.native.js
index a4acef5ae318..f687d666e2ef 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
@@ -147,7 +146,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -162,15 +160,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, 2, 0 );
+	v = dsemch( 4, 1, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -185,8 +181,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsemch( N, 1, x, -2, 6 );
+	v = dsemch( 4, 1, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -205,7 +200,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -219,9 +213,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsemch( N, 1, x, 2, 1 );
+	v = dsemch( 4, 1, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();

From e6a7545bdf5ae49ecfa1c8902f009ad95c7f38f6 Mon Sep 17 00:00:00 2001
From: Aayush Khanna <96649223+aayush0325@users.noreply.github.com>
Date: Thu, 9 Jan 2025 13:44:09 +0530
Subject: [PATCH 2/3] chore: lint copyright years

---
 lib/node_modules/@stdlib/stats/base/dsemch/src/main.c | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c b/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c
index 20f02faba5ff..30381ec7f28a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/src/main.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 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.

From b7c7de47f8aec9b98f78f182b0f8ebaf101d26dc Mon Sep 17 00:00:00 2001
From: Aayush Khanna <96649223+aayush0325@users.noreply.github.com>
Date: Fri, 17 Jan 2025 01:22:16 +0530
Subject: [PATCH 3/3] chore: fix grammar

---
 lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
index 3819875d6003..054f5eb74eb7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsemch/docs/repl.txt
@@ -32,7 +32,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     Returns
     -------
@@ -88,7 +88,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     offsetX: integer
         Starting index.