docs: update REPL namespace documentation

PR-URL: #10478
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

lib/node_modules/@stdlib/repl/code-blocks/data/data.csv

@@ -1,5 +1,5 @@
-abs,"var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\nvar x = array( arr );\nvar y = abs( x );\nndarray2array( y )\n"
-abs.assign,"var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\nvar x = array( arr );\nvar sh = ndarrayShape( x );\nvar y = ndzeros( sh );\nvar out = abs.assign( x, y );\nvar bool = ( out === y )\nndarray2array( y )\n"
+abs,"var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\nvar x = array( arr );\nvar y = abs( x )\n"
+abs.assign,"var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\nvar x = array( arr );\nvar sh = ndarrayShape( x );\nvar y = ndzeros( sh );\nvar out = abs.assign( x, y )\nvar bool = ( out === y )\n"
 acartesianPower,"var x = [ 1, 2 ];\nvar out = acartesianPower( x, 2 )\n"
 acartesianProduct,"var x1 = [ 1, 2 ];\nvar x2 = [ 3, 4 ];\nvar out = acartesianProduct( x1, x2 )\n"
 acartesianSquare,"var out = acartesianSquare( [ 1, 2 ] )\n"

lib/node_modules/@stdlib/repl/code-blocks/data/data.json

@@ -1,5 +1,5 @@
-abs,"\nabs( x[, options] )\n    Computes the absolute value for each element in an ndarray.\n\n    The function returns an ndarray having the same shape as the input ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    options: Object (optional)\n        Options.\n\n    options.dtype: string|DataType (optional)\n        Output array data type. Must be a real-valued or \"generic\" data type.\n\n    options.order: string (optional)\n        Output array order. Must be either row-major (C-style) or column-major\n        (Fortran-style). By default, the order of the output array is the same\n        as the input array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array containing element-wise results.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var y = abs( x );\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n\n\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y );\n    > var bool = ( out === y )\n    true\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n\n"
-abs.assign,"\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y );\n    > var bool = ( out === y )\n    true\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]"
+abs,"\nabs( x[, options] )\n    Computes the absolute value for each element in an ndarray.\n\n    The function returns an ndarray having the same shape as the input ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    options: Object (optional)\n        Options.\n\n    options.dtype: string|DataType (optional)\n        Output array data type. Must be a real-valued or \"generic\" data type.\n\n    options.order: string (optional)\n        Output array order. Must be either row-major (C-style) or column-major\n        (Fortran-style). By default, the order of the output array is the same\n        as the input array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array containing element-wise results.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var y = abs( x )\n    <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n\n\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y )\n    <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n    > var bool = ( out === y )\n    true\n\n"
+abs.assign,"\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y )\n    <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n    > var bool = ( out === y )\n    true"
 acartesianPower,"\nacartesianPower( x, n )\n    Returns the Cartesian power.\n\n    If provided an empty array, the function returns an empty array.\n\n    If `n` is less than or equal to zero, the function returns an empty array.\n\n    Parameters\n    ----------\n    x: ArrayLikeObject\n        Input array.\n\n    n: integer\n        Power.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var x = [ 1, 2 ];\n    > var out = acartesianPower( x, 2 )\n    [ [ 1, 1 ], [ 1, 2 ], [ 2, 1 ], [ 2, 2 ] ]\n\n    See Also\n    --------\n    acartesianProduct, acartesianSquare\n"
 acartesianProduct,"\nacartesianProduct( x1, x2 )\n    Returns the Cartesian product.\n\n    If provided one or more empty arrays, the function returns an empty array.\n\n    Parameters\n    ----------\n    x1: ArrayLikeObject\n        First input array.\n\n    x2: ArrayLikeObject\n        Second input array.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var x1 = [ 1, 2 ];\n    > var x2 = [ 3, 4 ];\n    > var out = acartesianProduct( x1, x2 )\n    [ [ 1, 3 ], [ 1, 4 ], [ 2, 3 ], [ 2, 4 ] ]\n\n    See Also\n    --------\n    acartesianPower, acartesianSquare\n"
 acartesianSquare,"\nacartesianSquare( x )\n    Returns the Cartesian square.\n\n    If provided an empty array, the function returns an empty array.\n\n    Parameters\n    ----------\n    x: ArrayLikeObject\n        Input array.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var out = acartesianSquare( [ 1, 2 ] )\n    [ [ 1, 1 ], [ 1, 2 ], [ 2, 1 ], [ 2, 2 ] ]\n\n    See Also\n    --------\n    acartesianPower, acartesianProduct\n"