refactor: refactor docs and examples

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Author: aayush0325

lib/node_modules/@stdlib/stats/base/dnanmaxabs/docs/repl.txt

@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the maximum absolute value of a double-precision floating-point
     strided array, ignoring `NaN` values.
 
-    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.
@@ -19,8 +19,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     Returns
     -------
@@ -34,22 +34,19 @@
     > {{alias}}( x.length, x, 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, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     2.0
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > 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, x1, stride )
+    > {{alias}}( 3, x1, 2 )
     2.0
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the maximum absolute value of a double-precision floating-point
     strided array, ignoring `NaN` values and using alternative indexing
     semantics.
@@ -66,10 +63,10 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -86,8 +83,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     2.0
 
     See Also

lib/node_modules/@stdlib/stats/base/dnanmaxabs/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 maximum absolute value
 	*
 	* @example
@@ -38,15 +38,15 @@ interface Routine {
 	* var v = dnanmaxabs( x.length, x, 1 );
 	* // returns 2.0
 	*/
-	( N: number, x: Float64Array, stride: number ): number;
+	( N: number, x: Float64Array, strideX: number ): number;
 
 	/**
 	* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using 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 maximum absolute value
 	*
 	* @example
@@ -57,15 +57,15 @@ interface Routine {
 	* var v = dnanmaxabs.ndarray( x.length, x, 1, 0 );
 	* // returns 2.0
 	*/
-	ndarray( N: number, x: Float64Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns maximum absolute value
 *
 * @example

lib/node_modules/@stdlib/stats/base/dnanmaxabs/examples/c/example.c

@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/dnanmaxabs.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, 0.0/0.0, 0.0/0.0 };
+	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 };
 
 	// Specify the number of elements:
-	int64_t N = 5;
+	const int N = 5;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the maximum absolute value:
-	double v = stdlib_strided_dnanmaxabs( N, x, stride );
+	double v = stdlib_strided_dnanmaxabs( N, x, strideX );
 
 	// Print the result:
 	printf( "maxabs: %lf\n", v );