feat: add C ndarray API and refactor blas/ext/base/dnanasumors

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/README.md

@@ -51,7 +51,7 @@ The [_L1_ norm][l1norm] is defined as
 var dnanasumors = require( '@stdlib/blas/ext/base/dnanasumors' );
 ```
 
-#### dnanasumors( N, x, stride )
+#### dnanasumors( N, x, strideX )
 
 Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
 
@@ -69,9 +69,9 @@ The function has the following parameters:
 
 - **N**: number of indexed elements.
 - **x**: input [`Float64Array`][@stdlib/array/float64].
-- **stride**: index increment for `x`.
+- **strideX**: index increment for `x`.
 
-The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of absolute values ([_L1_ norm][l1norm]) 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 sum of absolute values ([_L1_ norm][l1norm]) for every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -96,7 +96,7 @@ var v = dnanasumors( 4, x1, 2 );
 // returns 9.0
 ```
 
-#### dnanasumors.ndarray( N, x, stride, offset )
+#### dnanasumors.ndarray( N, x, strideX, offsetX )
 
 Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics.
 
@@ -112,9 +112,9 @@ var v = dnanasumors.ndarray( N, x, 1, 0 );
 
 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 sum of absolute values ([_L1_ norm][l1norm]) 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 sum of absolute values ([_L1_ norm][l1norm]) for every other value in `x` starting from the second value
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -170,6 +170,123 @@ 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/blas/ext/base/dnanasumors.h"
+```
+
+#### stdlib_strided_dnanasumors( N, \*X, strideX )
+
+Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
+
+```c
+const double x[] = { 1.0, 2.0, 0.0/0.0, 4.0 };
+
+double v = stdlib_strided_dnanasumors( 4, x, 1 );
+// returns 7.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` index increment for `X`.
+
+```c
+double stdlib_strided_dnanasumors( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dnanasumors_ndarray( N, \*X, strideX, offsetX )
+
+Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 0.0/0.0, 4.0 };
+
+double v = stdlib_strided_dnanasumors_ndarray( 4, x, 1, 0 );
+// returns 7.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` index increment for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dnanasumors_ndarray( const CBLAS_INT N, 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/blas/ext/base/dnanasumors.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 };
+
+ // Specify the number of elements:
+ const int N = 5;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the sum:
+ double v = stdlib_strided_dnanasumors( N, x, strideX );
+
+ // Print the result:
+ printf( "sumabs: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <section class="references">
 
 </section>

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/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;
@@ -124,6 +124,43 @@ static double benchmark( int iterations, int len ) {
  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++ ) {
+ if ( rand_double() < 0.2 ) {
+ x[ i ] = 0.0 / 0.0; // NaN
+ } else {
+ x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ }
+ }
+ v = 0.0;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ v = stdlib_strided_dnanasumors_ndarray( len, x, 1, 0 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
 /**
 * Main execution sequence.
 */
@@ -146,7 +183,18 @@ 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 );
  }

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/docs/repl.txt

@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
  Computes the sum of absolute values (L1 norm) of double-precision floating-
  point strided array elements, ignoring `NaN` values and using ordinary
  recursive summation.
 
- The `N` and `stride` parameters determine which elements in `x` are accessed
+ The `N` and stride parameters determine which elements in `x` are accessed
  at runtime.
 
  Indexing is relative to the first index. To introduce an offset, use a typed
@@ -20,7 +20,7 @@
  x: Float64Array
  Input array.
 
- stride: integer
+ strideX: integer
  Index increment.
 
  Returns
@@ -50,14 +50,15 @@
  > {{alias}}( N, x1, stride )
  5.0
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
  Computes the sum of absolute values (L1 norm) of double-precision floating-
  point strided array elements, ignoring `NaN` values and using ordinary
  recursive summation alternative indexing semantics.
 
  While typed array views mandate a view offset based on the underlying
- buffer, the `offset` parameter supports indexing semantics based on a
- starting index.
+ buffer, offset parameter support indexing semantics based on starting
+ index.
 
  Parameters
  ----------
@@ -67,10 +68,10 @@
  x: Float64Array
  Input array.
 
- stride: integer
+ strideX: integer
  Index increment.
 
- offset: integer
+ offsetX: integer
  Starting index.
 
  Returns

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/docs/types/index.d.ts

@@ -27,7 +27,7 @@ interface Routine {
  *
  * @param N - number of indexed elements
  * @param x - input array
- * @param stride - stride length
+ * @param strideX - stride length
  * @returns sum
  *
  * @example
@@ -38,15 +38,15 @@ interface Routine {
  * var v = dnanasumors( x.length, x, 1 );
  * // returns 5.0
  */
- ( N: number, x: Float64Array, stride: number ): number;
+ ( N: number, x: Float64Array, strideX: number ): number;
 
  /**
  * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics.
  *
  * @param N - number of indexed elements
  * @param x - input array
- * @param stride - stride length
- * @param offset - starting index
+ * @param strideX - stride length
+ * @param offsetX - starting index
  * @returns sum
  *
  * @example
@@ -57,15 +57,15 @@ interface Routine {
  * var v = dnanasumors.ndarray( x.length, x, 1, 0 );
  * // returns 5.0
  */
- ndarray( N: number, x: Float64Array, stride: number, offset: number ): number;
+ ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns sum
 *
 * @example

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/examples/c/example.c

@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/blas/ext/base/dnanasumors.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 };
 
  // Specify the number of elements:
- const int64_t N = 5;
+ const int N = 5;
 
  // Specify the stride length:
- const int64_t stride = 2;
+ const int strideX = 2;
 
  // Compute the sum:
- double v = stdlib_strided_dnanasumors( N, x, stride );
+ double v = stdlib_strided_dnanasumors( N, x, strideX );
 
  // Print the result:
  printf( "sumabs: %lf\n", v );

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/include/stdlib/blas/ext/base/dnanasumors.h

@@ -19,7 +19,7 @@
 #ifndef STDLIB_BLAS_EXT_BASE_DNANASUMORS_H
 #define STDLIB_BLAS_EXT_BASE_DNANASUMORS_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 sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
 */
-double stdlib_strided_dnanasumors( const int64_t N, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dnanasumors)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation and alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dnanasumors_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }