time-to-botec/js/node_modules/@stdlib/strided/base/smskmap/docs/repl.txt

{{alias}}( N, x, sx, m, sm, y, sy, 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 according to a corresponding element in a strided mask 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 the strided arrays
    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.

    sx: integer
        Index increment for `x`.

    m: Uint8Array
        Mask array.

    sm: integer
        Index increment for `m`.

    y: Float32Array
        Destination array.

    sy: 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 m = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 0 ] );
    > var y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > {{alias}}( x.length, x, 1, m, 1, y, 1, {{alias:@stdlib/math/base/special/identity}} )
    <Float32Array>[ 1.0, 2.0, 0.0, 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, m, 2, y, -1, {{alias:@stdlib/math/base/special/identity}} )
    <Float32Array>[ 0.0, 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 m0 = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 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 m1 = new {{alias:@stdlib/array/uint8}}( m0.buffer, m0.BYTES_PER_ELEMENT*2 );
    > 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, m1, 1, y1, 1, {{alias:@stdlib/math/base/special/identity}} )
    <Float32Array>[ 0.0, 2.0 ]
    > y0
    <Float32Array>[ 0.0, 0.0, 0.0, 2.0 ]


{{alias}}.ndarray( N, x, sx, ox, m, sm, om, y, sy, oy, 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 according to a corresponding element in a strided mask 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 offset parameters support indexing semantics based on starting
    indices.

    Parameters
    ----------
    N: integer
        Number of indexed elements.

    x: Float32Array
        Input array.

    sx: integer
        Index increment for `x`.

    ox: integer
        Starting index for `x`.

    m: Uint8Array
        Mask array.

    sm: integer
        Index increment for `m`.

    om: integer
        Starting index for `m`.

    y: Float32Array
        Destination array.

    sy: integer
        Index increment for `y`.

    oy: 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 m = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 0 ] );
    > var y = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > {{alias}}.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0, {{alias:@stdlib/math/base/special/identity}} )
    <Float32Array>[ 1.0, 2.0, 0.0, 4.0 ]

    // Advanced indexing:
    > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > m = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 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, m, 1, 2, y, -1, y.length-1, {{alias:@stdlib/math/base/special/identity}} )
    <Float32Array>[ 0.0, 0.0, 4.0, 0.0 ]

    See Also
    --------