diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zindex-of-falsy/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zindex-of-falsy/README.md
index ec2a72a899a5..886967558859 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zindex-of-falsy/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zindex-of-falsy/README.md
@@ -47,7 +47,7 @@ var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var x = new Complex128Vector( [ 1.0, 2.0, 0.0, 0.0, 4.0, 5.0 ] );
var fromIndex = scalar2ndarray( 0, {
- 'dtype': 'generic'
+ 'dtype': 'int32'
});
var idx = zindexOfFalsy( [ x, fromIndex ] );
@@ -70,7 +70,7 @@ var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var x = new Complex128Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
var fromIndex = scalar2ndarray( 0, {
- 'dtype': 'generic'
+ 'dtype': 'int32'
});
var idx = zindexOfFalsy( [ x, fromIndex ] );
@@ -113,7 +113,7 @@ var x = new Complex128Vector( buf.buffer );
console.log( ndarray2array( x ) );
var fromIndex = scalar2ndarray( 0, {
- 'dtype': 'generic'
+ 'dtype': 'int32'
});
var idx = zindexOfFalsy( [ x, fromIndex ] );
@@ -124,6 +124,181 @@ console.log( idx );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/blas/ext/base/ndarray/zindex_of_falsy.h"
+```
+
+#### stdlib_blas_ext_zindex_of_falsy( arrays )
+
+Returns the index of the first falsy element in a one-dimensional double-precision complex floating-point ndarray.
+
+```c
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/dtypes.h"
+#include "stdlib/ndarray/index_modes.h"
+#include "stdlib/ndarray/orders.h"
+#include "stdlib/ndarray/base/bytes_per_element.h"
+#include "stdlib/blas/base/shared.h"
+#include
+
+// Create an input ndarray:
+const double data[] = { 1.0, 2.0, 0.0, 0.0, 4.0, 5.0 };
+int64_t shape[] = { 3 };
+int64_t strides[] = { STDLIB_NDARRAY_COMPLEX128_BYTES_PER_ELEMENT };
+int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+
+struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_COMPLEX128, (uint8_t *)data, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+
+// Create a zero-dimensional ndarray containing the index from which to begin searching:
+const int32_t fdata[] = { 0 };
+int64_t sstrides[] = { 0 };
+
+struct ndarray *fromIndex = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT32, (uint8_t *)fdata, 0, NULL, sstrides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+
+// Resolve the index:
+const struct ndarray *arrays[] = { x, fromIndex };
+CBLAS_INT idx = stdlib_blas_ext_zindex_of_falsy( arrays );
+// returns 1
+
+// Free allocated memory:
+stdlib_ndarray_free( x );
+stdlib_ndarray_free( fromIndex );
+```
+
+The function accepts the following arguments:
+
+- **arrays**: `[in] struct ndarray**` list containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a zero-dimensional ndarray containing the index from which to begin searching.
+
+```c
+CBLAS_INT stdlib_blas_ext_zindex_of_falsy( const struct ndarray *arrays[] );
+```
+
+
+
+
+
+
+
+
+
+- The zero-dimensional ndarray containing the index from which to begin searching must have an `int32` data type.
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/blas/ext/base/ndarray/zindex_of_falsy.h"
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/dtypes.h"
+#include "stdlib/ndarray/index_modes.h"
+#include "stdlib/ndarray/orders.h"
+#include "stdlib/ndarray/base/bytes_per_element.h"
+#include "stdlib/blas/base/shared.h"
+#include
+#include
+#include
+
+int main( void ) {
+ // Create a data buffer:
+ const double data[] = { 1.0, -2.0, 0.0, 0.0, 5.0, -6.0, 7.0, -8.0 };
+
+ // Specify the number of array dimensions:
+ const int64_t ndims = 1;
+
+ // Specify the array shape:
+ int64_t shape[] = { 4 };
+
+ // Specify the array strides:
+ int64_t strides[] = { STDLIB_NDARRAY_COMPLEX128_BYTES_PER_ELEMENT };
+
+ // Specify the byte offset:
+ const int64_t offset = 0;
+
+ // Specify the array order:
+ const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;
+
+ // Specify the index mode:
+ const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;
+
+ // Specify the subscript index modes:
+ int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+ const int64_t nsubmodes = 1;
+
+ // Create an input ndarray:
+ struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_COMPLEX128, (uint8_t *)data, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
+ if ( x == NULL ) {
+ fprintf( stderr, "Error allocating memory.\n" );
+ exit( 1 );
+ }
+
+ // Specify the array strides for zero-dimensional ndarrays:
+ int64_t sstrides[] = { 0 };
+
+ // Create a data buffer for an ndarray containing the index from which to begin searching:
+ const int32_t fdata[] = { 0 };
+
+ // Create a zero-dimensional ndarray containing the index from which to begin searching:
+ struct ndarray *fromIndex = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT32, (uint8_t *)fdata, 0, NULL, sstrides, 0, order, imode, nsubmodes, submodes );
+ if ( fromIndex == NULL ) {
+ fprintf( stderr, "Error allocating memory.\n" );
+ exit( 1 );
+ }
+
+ // Define a list of ndarrays:
+ const struct ndarray *arrays[] = { x, fromIndex };
+
+ // Resolve the index:
+ CBLAS_INT idx = stdlib_blas_ext_zindex_of_falsy( arrays );
+
+ // Print the result:
+ printf( "index: %i\n", (int)idx );
+
+ // Free allocated memory:
+ stdlib_ndarray_free( x );
+ stdlib_ndarray_free( fromIndex );
+}
+```
+
+
+
+
+
+
+
+
+