time-to-botec/squiggle/node_modules/@stdlib/strided/base/smap/docs/repl.txt
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

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{{alias}}( N, x, strideX, y, strideY, fcn )
Applies a unary function accepting and returning single-precision floating-
point numbers to each element in a single-precision floating-point strided
input array and assigns each result to an element in a single-precision
floating-point strided output array.
The `N` and `stride` parameters determine which elements in `x` and `y` are
accessed at runtime.
Indexing is relative to the first index. To introduce an offset, use typed
array views.
Parameters
----------
N: integer
Number of indexed elements.
x: Float32Array
Input array.
strideX: integer
Index increment for `x`.
y: Float32Array
Destination array.
strideY: integer
Index increment for `y`.
fcn: Function
Unary function to apply.
Returns
-------
y: Float32Array
Input array `y`.
Examples
--------
// Standard usage:
> var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> var y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> {{alias}}( x.length, x, 1, y, 1, {{alias:@stdlib/math/base/special/identityf}} )
<Float32Array>[ 1.0, 2.0, 3.0, 4.0 ]
// Using `N` and `stride` parameters:
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> {{alias}}( N, x, 2, y, -1, {{alias:@stdlib/math/base/special/identityf}} )
<Float32Array>[ 3.0, 1.0, 0.0, 0.0 ]
// Using view offsets:
> var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> var y0 = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
> var y1 = new {{alias:@stdlib/array/float32}}( y0.buffer, y0.BYTES_PER_ELEMENT*2 );
> N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
> {{alias}}( N, x1, -2, y1, 1, {{alias:@stdlib/math/base/special/identityf}} )
<Float32Array>[ 4.0, 2.0 ]
> y0
<Float32Array>[ 0.0, 0.0, 4.0, 2.0 ]
{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, fcn )
Applies a unary function accepting and returning single-precision floating-
point numbers to each element in a single-precision floating-point strided
input array and assigns each result to an element in a single-precision
floating-point strided output array using alternative indexing semantics.
While typed array views mandate a view offset based on the underlying
buffer, the `offsetX` and `offsetY` parameters support indexing semantics
based on starting indices.
Parameters
----------
N: integer
Number of indexed elements.
x: Float32Array
Input array.
strideX: integer
Index increment for `x`.
offsetX: integer
Starting index for `x`.
y: Float32Array
Destination array.
strideY: integer
Index increment for `y`.
offsetY: integer
Starting index for `y`.
fcn: Function
Unary function to apply.
Returns
-------
y: Float32Array
Input array `y`.
Examples
--------
// Standard usage:
> var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> var y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> {{alias}}.ndarray( x.length, x, 1, 0, y, 1, 0, {{alias:@stdlib/math/base/special/identityf}} )
<Float32Array>[ 1.0, 2.0, 3.0, 4.0 ]
// Advanced indexing:
> x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> {{alias}}.ndarray( N, x, 2, 1, y, -1, y.length-1, {{alias:@stdlib/math/base/special/identityf}} )
<Float32Array>[ 0.0, 0.0, 4.0, 2.0 ]
See Also
--------