From 14681bbbf64bdf625f66104c5d76d5ad93157b93 Mon Sep 17 00:00:00 2001
From: gururaj1512 <gururajgurram1512@gmail.com>
Date: Tue, 3 Jun 2025 15:11:12 +0000
Subject: [PATCH 1/4] feat: add C ndarray interface and refactor implementation
 for `stats/base/dnanmskmin`

---
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: missing_dependencies
  - 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: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/stats/base/dnanmskmin/README.md   | 193 ++++++++++++++----
 .../base/dnanmskmin/benchmark/benchmark.js    |  32 +--
 .../dnanmskmin/benchmark/benchmark.native.js  |  32 +--
 .../dnanmskmin/benchmark/benchmark.ndarray.js |  32 +--
 .../benchmark/benchmark.ndarray.native.js     |  32 +--
 .../stats/base/dnanmskmin/docs/repl.txt       |  24 +--
 .../base/dnanmskmin/examples/c/example.c      |  10 +-
 .../stats/base/dnanmskmin/examples/index.js   |  31 +--
 .../include/stdlib/stats/base/dnanmskmin.h    |   9 +-
 .../stats/base/dnanmskmin/lib/dnanmskmin.js   |  52 +----
 .../stats/base/dnanmskmin/lib/index.js        |   4 +-
 .../stats/base/dnanmskmin/lib/ndarray.js      |   4 +-
 .../base/dnanmskmin/lib/ndarray.native.js     |  20 +-
 .../stats/base/dnanmskmin/manifest.json       |  50 +++--
 .../@stdlib/stats/base/dnanmskmin/src/addon.c |  25 ++-
 .../dnanmskmin/src/{dnanmskmin.c => main.c}   |  41 ++--
 .../base/dnanmskmin/test/test.dnanmskmin.js   |  13 +-
 .../dnanmskmin/test/test.dnanmskmin.native.js |  13 +-
 .../base/dnanmskmin/test/test.ndarray.js      |  13 +-
 .../dnanmskmin/test/test.ndarray.native.js    |  15 +-
 20 files changed, 370 insertions(+), 275 deletions(-)
 rename lib/node_modules/@stdlib/stats/base/dnanmskmin/src/{dnanmskmin.c => main.c} (56%)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
index 1b77cb867a41..249ab9ac40f1 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
@@ -18,6 +18,8 @@ limitations under the License.
 
 -->
 
+<!-- lint disable maximum-heading-length -->
+
 # dnanmskmin
 
 > Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
@@ -38,7 +40,7 @@ var dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' );
 
 #### dnanmskmin( N, x, strideX, mask, strideMask )
 
-Computes the minimum value of a double-precision floating-point strided array `x` according to a `mask`, ignoring `NaN` values.
+Computes the minimum value of a double-precision floating-point strided array according to a `mask`, ignoring `NaN` values.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -55,22 +57,20 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **strideX**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 -   **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
--   **strideMask**: index increment for `mask`.
+-   **strideMask**: stride length for `mask`.
 
-The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the minimum value 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 minimum value of every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 var Uint8Array = require( '@stdlib/array/uint8' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 7.0, -2.0, -4.0, 3.0, -5.0, -6.0 ] );
 var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
-var N = floor( x.length / 2 );
 
-var v = dnanmskmin( N, x, 2, mask, 2 );
+var v = dnanmskmin( 4, x, 2, mask, 2 );
 // returns -4.0
 ```
 
@@ -81,7 +81,6 @@ Note that indexing is relative to the first index. To introduce offsets, use [`t
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 var Uint8Array = require( '@stdlib/array/uint8' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, -5.0, -6.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
@@ -89,9 +88,7 @@ var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd
 var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
 var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dnanmskmin( N, x1, 2, mask1, 2 );
+var v = dnanmskmin( 4, x1, 2, mask1, 2 );
 // returns -2.0
 ```
 
@@ -115,18 +112,16 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetMask**: starting index for `mask`.
 
-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 minimum value 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 minimum value for every other elemetn in `x` starting from the second element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 var Uint8Array = require( '@stdlib/array/uint8' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, -5.0, -6.0 ] );
 var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
-var N = floor( x.length / 2 );
 
-var v = dnanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 );
+var v = dnanmskmin.ndarray( 4, x, 2, 1, mask, 2, 1 );
 // returns -2.0
 ```
 
@@ -151,31 +146,22 @@ var v = dnanmskmin.ndarray( N, x, 2, 1, mask, 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 Uint8Array = require( '@stdlib/array/uint8' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' );
 
-var mask;
-var x;
-var i;
-
-x = new Float64Array( 10 );
-mask = new Uint8Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        mask[ i ] = 1;
-    } else {
-        mask[ i ] = 0;
-    }
-    if ( randu() < 0.1 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
     }
+    return uniform( -50.0, 50.0 );
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
+
+var mask = filledarrayBy( x.length, 'uint8', bernoulli.factory( 0.2 ) );
 console.log( mask );
 
 var v = dnanmskmin( x.length, x, 1, mask, 1 );
@@ -186,6 +172,143 @@ 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/dnanmskmin.h"
+```
+
+#### stdlib_strided_dnanmskmin( N, \*X, strideX, \*Mask, strideMask )
+
+Computes the minimum value of a double-precision floating-point strided array according to a `mask`, ignoring `NaN` values.
+
+```c
+#include <stdint.h>
+
+const double x[] = { 1.0, -2.0, 4.0, 2.0, 0.0/0.0 };
+const uint8_t mask[] = { 0, 0, 1, 0, 0 };
+
+double v = stdlib_strided_dnanmskmin( 5, x, 1, mask, 1 );
+// returns -2.0
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.
+-   **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.
+
+```c
+double stdlib_strided_dnanmskmin( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const uint8_t *Mask, const CBLAS_INT strideMask );
+```
+
+#### stdlib_strided_dnanmskmin_ndarray( N, \*X, strideX, offsetX, \*Mask, strideMask, offsetMask )
+
+Computes the minimum value of a double-precision floating-point strided array according to a `mask`, ignoring `NaN` values and using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, -2.0, 4.0, 2.0, 0.0/0.0 };
+const uint8_t mask[] = { 0, 0, 1, 0, 0 };
+
+double v = stdlib_strided_dnanmskmin_ndarray( 5, x, 1, 0, mask, 1, 0 );
+// returns -2.0
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+-   **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.
+-   **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.
+-   **offsetMask**: `[in] CBLAS_INT` starting index for `Mask`.
+
+```c
+double stdlib_strided_dnanmskmin_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const uint8_t *Mask, const CBLAS_INT strideMask, const CBLAS_INT offsetMask );
+```
+
+</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/dnanmskmin.h"
+#include <stdint.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, 0.0/0.0, 0.0/0.0 };
+
+    // Create a mask array:
+    const uint8_t mask[] = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 };
+
+    // Specify the number of elements:
+    const int N = 5;
+
+    // Specify the stride lengths:
+    const int strideX = 2;
+    const int strideMask = 2;
+
+    // Compute the minimum value:
+    double v = stdlib_strided_dnanmskmin( N, x, strideX, mask, strideMask );
+
+    // Print the result:
+    printf( "min: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.js
index ec9b9019e422..1de3eb062e2e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.js
@@ -21,17 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
 var pkg = require( './../package.json' ).name;
 var dnanmskmin = require( './../lib/dnanmskmin.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -42,18 +55,9 @@ var dnanmskmin = require( './../lib/dnanmskmin.js' );
 function createBenchmark( len ) {
 	var mask;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	mask = new Uint8Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			mask[ i ] = 1;
-		} else {
-			mask[ i ] = 0;
-		}
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	x = filledarrayBy( len, 'float64', rand );
+	mask = filledarrayBy( len, 'uint8', bernoulli.factory( 0.2 ) );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.native.js
index 587a0ac67766..b5662dc6ce40 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -41,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -51,18 +64,9 @@ var opts = {
 function createBenchmark( len ) {
 	var mask;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	mask = new Uint8Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			mask[ i ] = 1;
-		} else {
-			mask[ i ] = 0;
-		}
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	x = filledarrayBy( len, 'float64', rand );
+	mask = filledarrayBy( len, 'uint8', bernoulli.factory( 0.2 ) );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.js
index 7119c2478535..7f7a25f41f46 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.js
@@ -21,17 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
 var pkg = require( './../package.json' ).name;
 var dnanmskmin = require( './../lib/ndarray.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -42,18 +55,9 @@ var dnanmskmin = require( './../lib/ndarray.js' );
 function createBenchmark( len ) {
 	var mask;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	mask = new Uint8Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			mask[ i ] = 1;
-		} else {
-			mask[ i ] = 0;
-		}
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	x = filledarrayBy( len, 'float64', rand );
+	mask = filledarrayBy( len, 'uint8', bernoulli.factory( 0.2 ) );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.native.js
index c3679b6809c5..925c4f757a64 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/benchmark/benchmark.ndarray.native.js
@@ -22,11 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -41,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -51,18 +64,9 @@ var opts = {
 function createBenchmark( len ) {
 	var mask;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	mask = new Uint8Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			mask[ i ] = 1;
-		} else {
-			mask[ i ] = 0;
-		}
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	x = filledarrayBy( len, 'float64', rand );
+	mask = filledarrayBy( len, 'uint8', bernoulli.factory( 0.2 ) );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmskmin/docs/repl.txt
index 116586e82775..617a67c56534 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/docs/repl.txt
@@ -3,8 +3,8 @@
     Computes the minimum value of a double-precision floating-point strided
     array according to a mask, ignoring `NaN` values.
 
-    The `N` and `stride` parameters determine which elements 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 offsets, use a typed
     array views.
@@ -26,13 +26,13 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Stride length for `x`.
 
     mask: Uint8Array
         Mask array.
 
     strideMask: integer
-        Index increment for `mask`.
+        Stride length for `mask`.
 
     Returns
     -------
@@ -47,11 +47,10 @@
     > {{alias}}( x.length, x, 1, mask, 1 )
     -2.0
 
-    // 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, -4.0 ] );
     > mask = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0, 0, 0, 1 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2, mask, 2 )
+    > {{alias}}( 3, x, 2, mask, 2 )
     -2.0
 
     // Using view offsets:
@@ -59,10 +58,10 @@
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     > var mask0 = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0, 0, 0, 1 ] );
     > var mask1 = new {{alias:@stdlib/array/uint8}}( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > {{alias}}( N, x1, 2, mask1, 2 )
+    > {{alias}}( 3, x1, 2, mask1, 2 )
     -2.0
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )
     Computes the minimum value of a double-precision floating-point strided
     array according to a mask, ignoring `NaN` values and using alternative
@@ -81,7 +80,7 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Stride length for `x`.
 
     offsetX: integer
         Starting index for `x`.
@@ -90,7 +89,7 @@
         Mask array.
 
     strideMask: integer
-        Index increment for `mask`.
+        Stride length for `mask`.
 
     offsetMask: integer
         Starting index for `mask`.
@@ -111,8 +110,7 @@
     // Using offset parameter:
     > x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, -4.0 ] );
     > mask = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0, 0, 0, 1 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1, mask, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1, mask, 2, 1 )
     -2.0
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/c/example.c
index 96e9a66a3190..c1d93c1247d0 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/c/example.c
@@ -22,17 +22,17 @@
 
 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, 9.0, 10.0 };
+	const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
 
 	// Create a mask array:
-	uint8_t mask[] = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 };
+	const uint8_t mask[] = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 };
 
 	// Specify the number of elements:
-	int64_t N = 5;
+	const int N = 5;
 
 	// Specify the stride lengths:
-	int64_t strideX = 2;
-	int64_t strideMask = 2;
+	const int strideX = 2;
+	const int strideMask = 2;
 
 	// Compute the minimum value:
 	double v = stdlib_strided_dnanmskmin( N, x, strideX, mask, strideMask );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/index.js
index 178f42783f3f..f9d498c44406 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/examples/index.js
@@ -18,31 +18,22 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var dnanmskmin = require( './../lib' );
 
-var mask;
-var x;
-var i;
-
-x = new Float64Array( 10 );
-mask = new Uint8Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		mask[ i ] = 1;
-	} else {
-		mask[ i ] = 0;
-	}
-	if ( randu() < 0.1 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
 	}
+	return uniform( -50.0, 50.0 );
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
+
+var mask = filledarrayBy( x.length, 'uint8', bernoulli.factory( 0.2 ) );
 console.log( mask );
 
 var v = dnanmskmin( x.length, x, 1, mask, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h b/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
index b714f2440e55..4dd643881f47 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DNANMSKMIN_H
 #define STDLIB_STATS_BASE_DNANMSKMIN_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 minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
 */
-double stdlib_strided_dnanmskmin( const int64_t N, const double *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask );
+double API_SUFFIX(stdlib_strided_dnanmskmin)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const uint8_t *Mask, const CBLAS_INT strideMask );
+
+/**
+* Computes the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values and using alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dnanmskmin_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const uint8_t *Mask, const CBLAS_INT strideMask, const CBLAS_INT offsetMask );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/dnanmskmin.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/dnanmskmin.js
index 55baa2cadf39..6805daa6aa1f 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/dnanmskmin.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/dnanmskmin.js
@@ -20,8 +20,8 @@
 
 // MODULES //
 
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -47,53 +47,7 @@ var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 * // returns -2.0
 */
 function dnanmskmin( N, x, strideX, mask, strideMask ) {
-	var min;
-	var ix;
-	var im;
-	var v;
-	var i;
-
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( strideX < 0 ) {
-		ix = (1-N) * strideX;
-	} else {
-		ix = 0;
-	}
-	if ( strideMask < 0 ) {
-		im = (1-N) * strideMask;
-	} else {
-		im = 0;
-	}
-	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v && mask[ im ] === 0 ) {
-			break;
-		}
-		ix += strideX;
-		im += strideMask;
-	}
-	if ( i === N ) {
-		return NaN;
-	}
-	min = v;
-	i += 1;
-	for ( i; i < N; i++ ) {
-		ix += strideX;
-		im += strideMask;
-		if ( mask[ im ] ) {
-			continue;
-		}
-		v = x[ ix ];
-		if ( isnan( v ) ) {
-			continue;
-		}
-		if ( v < min || ( v === min && isNegativeZero( v ) ) ) {
-			min = v;
-		}
-	}
-	return min;
+	return ndarray( N, x, strideX, stride2offset( N, strideX ), mask, strideMask, stride2offset( N, strideMask ) ); // eslint-disable-line max-len
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/index.js
index 61b641a84ffe..dbace754da0f 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/index.js
@@ -37,14 +37,12 @@
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 * var Uint8Array = require( '@stdlib/array/uint8' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, -5.0, -6.0 ] );
 * var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 );
+* var v = dnanmskmin.ndarray( 5, x, 2, 1, mask, 2, 1 );
 * // returns -2.0
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.js
index 4699c5f0665a..169544f464d6 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.js
@@ -41,13 +41,11 @@ var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 * var Uint8Array = require( '@stdlib/array/uint8' );
-* 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, -5.0, -6.0 ] );
 * var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmskmin( N, x, 2, 1, mask, 2, 1 );
+* var v = dnanmskmin( 5, x, 2, 1, mask, 2, 1 );
 * // returns -2.0
 */
 function dnanmskmin( N, x, strideX, offsetX, mask, strideMask, offsetMask ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.native.js
index 904442ce49c0..a155cb065d7e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/lib/ndarray.native.js
@@ -20,9 +20,7 @@
 
 // MODULES //
 
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
-var addon = require( './dnanmskmin.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -42,27 +40,15 @@ var addon = require( './dnanmskmin.native.js' );
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 * var Uint8Array = require( '@stdlib/array/uint8' );
-* 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, -5.0, -6.0 ] );
 * var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmskmin( N, x, 2, 1, mask, 2, 1 );
+* var v = dnanmskmin( 5, x, 2, 1, mask, 2, 1 );
 * // returns -2.0
 */
 function dnanmskmin( N, x, strideX, offsetX, mask, strideMask, offsetMask ) {
-	var viewX;
-	var viewM;
-	if ( strideX < 0 ) {
-		offsetX += (N-1) * strideX;
-	}
-	if ( strideMask < 0 ) {
-		offsetMask += (N-1) * strideMask;
-	}
-	viewX = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offsetX), x.length-offsetX ); // eslint-disable-line max-len
-	viewM = new Uint8Array( mask.buffer, mask.byteOffset+(mask.BYTES_PER_ELEMENT*offsetMask), mask.length-offsetMask ); // eslint-disable-line max-len
-	return addon( N, viewX, strideX, viewM, strideMask );
+	return addon.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask ); // eslint-disable-line max-len
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/manifest.json b/lib/node_modules/@stdlib/stats/base/dnanmskmin/manifest.json
index bd564e3ac6a9..75f8233d4e72 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/manifest.json
@@ -1,6 +1,7 @@
 {
   "options": {
-    "task": "build"
+    "task": "build",
+    "wasm": false
   },
   "fields": [
     {
@@ -27,19 +28,20 @@
   "confs": [
     {
       "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dnanmskmin.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/assert/is-negative-zero",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
@@ -50,36 +52,56 @@
     },
     {
       "task": "benchmark",
+      "wasm": false,
       "src": [
-        "./src/dnanmskmin.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-negative-zero"
+        "@stdlib/math/base/assert/is-negative-zero",
+        "@stdlib/strided/base/stride2offset"
       ]
     },
     {
       "task": "examples",
+      "wasm": false,
       "src": [
-        "./src/dnanmskmin.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/assert/is-negative-zero",
+        "@stdlib/strided/base/stride2offset"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
       ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-negative-zero"
+        "@stdlib/math/base/assert/is-negative-zero",
+        "@stdlib/strided/base/stride2offset"
       ]
     }
   ]
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/addon.c b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/addon.c
index 0352efed4214..f75ef5cdc21b 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/addon.c
@@ -23,6 +23,7 @@
 #include "stdlib/napi/argv_strided_float64array.h"
 #include "stdlib/napi/argv_strided_uint8array.h"
 #include "stdlib/napi/create_double.h"
+#include "stdlib/blas/base/shared.h"
 #include <node_api.h>
 
 /**
@@ -39,8 +40,28 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideMask, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_UINT8ARRAY( env, Mask, N, strideMask, argv, 3 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmskmin( N, X, strideX, Mask, strideMask ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dnanmskmin)( N, X, strideX, Mask, strideMask ), 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, 7 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+	STDLIB_NAPI_ARGV_INT64( env, strideMask, argv, 5 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetMask, argv, 6 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_ARGV_STRIDED_UINT8ARRAY( env, Mask, N, strideMask, argv, 4 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dnanmskmin_ndarray)( N, X, strideX, offsetX, Mask, strideMask, offsetMask ), v );
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/dnanmskmin.c b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
similarity index 56%
rename from lib/node_modules/@stdlib/stats/base/dnanmskmin/src/dnanmskmin.c
rename to lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
index d26ce79253cc..ff6fa600c5cd 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/dnanmskmin.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
@@ -19,7 +19,8 @@
 #include "stdlib/stats/base/dnanmskmin.h"
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/assert/is_negative_zero.h"
-#include <stdint.h>
+#include "stdlib/strided/base/stride2offset.h"
+#include "stdlib/blas/base/shared.h"
 
 /**
 * Computes the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
@@ -31,26 +32,36 @@
 * @param strideMask  Mask stride length
 * @return            output value
 */
-double stdlib_strided_dnanmskmin( const int64_t N, const double *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask ) {
+double API_SUFFIX(stdlib_strided_dnanmskmin)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const uint8_t *Mask, const CBLAS_INT strideMask ) {
+	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+	const CBLAS_INT om = stdlib_strided_stride2offset( N, strideMask );
+	return API_SUFFIX(stdlib_strided_dnanmskmin_ndarray)( N, X, strideX, ox, Mask, strideMask, om );
+}
+
+/**
+* Computes the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values and using alternative indexing semantics.
+*
+* @param N           number of indexed elements
+* @param X           input array
+* @param strideX     X stride length
+* @param offsetX     starting index for X
+* @param Mask        mask array
+* @param strideMask  Mask stride length
+* @param offsetMask  starting index for Mask
+* @return            output value
+*/
+double API_SUFFIX(stdlib_strided_dnanmskmin_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const uint8_t *Mask, const CBLAS_INT strideMask, const CBLAS_INT offsetMask ) {
+	CBLAS_INT ix;
+	CBLAS_INT im;
+	CBLAS_INT i;
 	double min;
-	int64_t ix;
-	int64_t im;
-	int64_t i;
 	double v;
 
 	if ( N <= 0 ) {
 		return 0.0 / 0.0; // NaN
 	}
-	if ( strideX < 0 ) {
-		ix = (1-N) * strideX;
-	} else {
-		ix = 0;
-	}
-	if ( strideMask < 0 ) {
-		im = (1-N) * strideMask;
-	} else {
-		im = 0;
-	}
+	ix = offsetX;
+	im = offsetMask;
 	for ( i = 0; i < N; i++ ) {
 		v = X[ ix ];
 		if ( v == v && Mask[ im ] == 0 ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.js
index 1e00d03ab2c5..9f491d141040 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
@@ -133,7 +132,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 tape( 'the function supports `stride` parameters', function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -166,8 +164,7 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, 2, mask, 2 );
+	v = dnanmskmin( 6, x, 2, mask, 2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -175,7 +172,6 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 
 tape( 'the function supports negative `stride` parameters', function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -208,8 +204,7 @@ tape( 'the function supports negative `stride` parameters', function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, -2, mask, -2 );
+	v = dnanmskmin( 6, x, -2, mask, -2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -220,7 +215,6 @@ tape( 'the function supports view offsets', function test( t ) {
 	var mask1;
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -256,9 +250,8 @@ tape( 'the function supports view offsets', function test( t ) {
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 	mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor( x1.length/2 );
 
-	v = dnanmskmin( N, x1, 2, mask1, 2 );
+	v = dnanmskmin( 6, x1, 2, mask1, 2 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.native.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.native.js
index f1949725ebe1..e54da9f8ef06 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.dnanmskmin.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
@@ -142,7 +141,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 tape( 'the function supports `stride` parameters', opts, function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -175,8 +173,7 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, 2, mask, 2 );
+	v = dnanmskmin( 6, x, 2, mask, 2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -184,7 +181,6 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 
 tape( 'the function supports negative `stride` parameters', opts, function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -217,8 +213,7 @@ tape( 'the function supports negative `stride` parameters', opts, function test(
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, -2, mask, -2 );
+	v = dnanmskmin( 6, x, -2, mask, -2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -229,7 +224,6 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	var mask1;
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -265,9 +259,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 	mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor( x1.length/2 );
 
-	v = dnanmskmin( N, x1, 2, mask1, 2 );
+	v = dnanmskmin( 6, x1, 2, mask1, 2 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.js
index cbcf9a1ea905..b102b7590196 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
@@ -133,7 +132,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 tape( 'the function supports `stride` parameters', function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -166,8 +164,7 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, 2, 0, mask, 2, 0 );
+	v = dnanmskmin( 6, x, 2, 0, mask, 2, 0 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -175,7 +172,6 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 
 tape( 'the function supports negative `stride` parameters', function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -208,8 +204,7 @@ tape( 'the function supports negative `stride` parameters', function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, -2, 10, mask, -2, 10 );
+	v = dnanmskmin( 6, x, -2, 10, mask, -2, 10 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -217,7 +212,6 @@ tape( 'the function supports negative `stride` parameters', function test( t ) {
 
 tape( 'the function supports `offset` parameters', function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -249,9 +243,8 @@ tape( 'the function supports `offset` parameters', function test( t ) {
 		0,
 		0  // 5
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanmskmin( N, x, 2, 1, mask, 2, 1 );
+	v = dnanmskmin( 6, x, 2, 1, mask, 2, 1 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.native.js
index e7323c0a7731..bfc014c636fe 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/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 isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
@@ -120,7 +119,7 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 	v = dnanmskmin( 0, x, 1, 0, mask, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	v = dnanmskmin( -1, x, 1, 0, mask, 1 );
+	v = dnanmskmin( -1, x, 1, 0, mask, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();
@@ -142,7 +141,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 tape( 'the function supports `stride` parameters', opts, function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -175,8 +173,7 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, 2, 0, mask, 2, 0 );
+	v = dnanmskmin( 6, x, 2, 0, mask, 2, 0 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -184,7 +181,6 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 
 tape( 'the function supports negative `stride` parameters', opts, function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -217,8 +213,7 @@ tape( 'the function supports negative `stride` parameters', opts, function test(
 		0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmskmin( N, x, -2, 10, mask, -2, 10 );
+	v = dnanmskmin( 6, x, -2, 10, mask, -2, 10 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -226,7 +221,6 @@ tape( 'the function supports negative `stride` parameters', opts, function test(
 
 tape( 'the function supports `offset` parameters', opts, function test( t ) {
 	var mask;
-	var N;
 	var x;
 	var v;
 
@@ -258,9 +252,8 @@ tape( 'the function supports `offset` parameters', opts, function test( t ) {
 		0,
 		0  // 5
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanmskmin( N, x, 2, 1, mask, 2, 1 );
+	v = dnanmskmin( 6, x, 2, 1, mask, 2, 1 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();

From 0f72729d2d7ed876d79e56ce112f20c138c296b8 Mon Sep 17 00:00:00 2001
From: gururaj1512 <gururajgurram1512@gmail.com>
Date: Wed, 4 Jun 2025 13:31:22 +0000
Subject: [PATCH 2/4] docs: update copy

---
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: 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: 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: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
index 249ab9ac40f1..a1c94ef64a35 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
@@ -112,7 +112,7 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetMask**: starting index for `mask`.
 
-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 minimum value for every other elemetn in `x` starting from the second element
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to calculate the minimum value for every other element in `x` starting from the second element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );

From 9264b7f20ca7c1fa02de604c944bd83aba8a5c4f Mon Sep 17 00:00:00 2001
From: gururaj1512 <gururajgurram1512@gmail.com>
Date: Wed, 4 Jun 2025 13:31:58 +0000
Subject: [PATCH 3/4] fix: add missing header

---
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: na
  - 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: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h | 1 +
 lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c        | 1 +
 2 files changed, 2 insertions(+)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h b/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
index 4dd643881f47..eebfb94e0bb5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/include/stdlib/stats/base/dnanmskmin.h
@@ -20,6 +20,7 @@
 #define STDLIB_STATS_BASE_DNANMSKMIN_H
 
 #include "stdlib/blas/base/shared.h"
+#include <stdint.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.
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
index ff6fa600c5cd..13892dee1f3a 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/src/main.c
@@ -21,6 +21,7 @@
 #include "stdlib/math/base/assert/is_negative_zero.h"
 #include "stdlib/strided/base/stride2offset.h"
 #include "stdlib/blas/base/shared.h"
+#include <stdint.h>
 
 /**
 * Computes the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.

From 7e82101f4bd8a3cc560972e3d75b6c20857945fe Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 5 Jun 2025 01:53:47 -0700
Subject: [PATCH 4/4] docs: fix missing include

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
index a1c94ef64a35..548519394f0f 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmskmin/README.md
@@ -229,6 +229,8 @@ double stdlib_strided_dnanmskmin( const CBLAS_INT N, const double *X, const CBLA
 Computes the minimum value of a double-precision floating-point strided array according to a `mask`, ignoring `NaN` values and using alternative indexing semantics.
 
 ```c
+#include <stdint.h>
+
 const double x[] = { 1.0, -2.0, 4.0, 2.0, 0.0/0.0 };
 const uint8_t mask[] = { 0, 0, 1, 0, 0 };