docs: update REPL namespace documentation

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

@@ -5105,7 +5105,7 @@ SAVOY_STOPWORDS_SP,"var list = SAVOY_STOPWORDS_SP()\n"
 SAVOY_STOPWORDS_SWE,"var list = SAVOY_STOPWORDS_SWE()\n"
 scalar2array,"var x = scalar2array( 1.0 )\n"
 scalar2ndarray,"var x = scalar2ndarray( 1.0 )\nvar sh = x.shape\nvar dt = x.dtype\nvar v = x.get()\n"
-sdot,"var xbuf = new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );\nvar x = array( xbuf );\nvar ybuf = new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );\nvar y = array( ybuf );\nvar z = sdot( x, y )\nz.get()\n"
+sdot,"var xbuf = new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );\nvar x = array( xbuf );\nvar ybuf = new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );\nvar y = array( ybuf );\nvar z = sdot( x, y )\n"
 SECONDS_IN_DAY,"var days = 3.14;\nvar secs = days * SECONDS_IN_DAY\n"
 SECONDS_IN_HOUR,"var hrs = 3.14;\nvar secs = hrs * SECONDS_IN_HOUR\n"
 SECONDS_IN_MINUTE,"var mins = 3.14;\nvar secs = mins * SECONDS_IN_MINUTE\n"

lib/node_modules/@stdlib/repl/help/data/data.csv

@@ -5107,7 +5107,7 @@ SAVOY_STOPWORDS_SP,"\nSAVOY_STOPWORDS_SP()\n    Returns a list of Spanish stop w
 SAVOY_STOPWORDS_SWE,"\nSAVOY_STOPWORDS_SWE()\n    Returns a list of Swedish stop words.\n\n    Returns\n    -------\n    out: Array<string>\n        List of stop words.\n\n    Examples\n    --------\n    > var list = SAVOY_STOPWORDS_SWE()\n    [ 'aderton', 'adertonde', 'adjö', ... ]\n\n    References\n    ----------\n    - Savoy, Jacques. 2005. \"IR Multilingual Resources at UniNE.\"\n    <http://members.unine.ch/jacques.savoy/clef/>.\n\n"
 scalar2array,"\nscalar2array( value[, dtype] )\n    Returns a single-element array containing a provided scalar value.\n\n    If `value` is a number and `dtype` is a complex number data type, the\n    function returns a complex number array containing a complex number whose\n    real component equals the provided scalar value and whose imaginary\n    component is zero.\n\n    Parameters\n    ----------\n    value: any\n        Scalar value.\n\n    dtype: string (optional)\n        Data type. If not provided and `value`\n\n        - is a number, the default data type is the default real-valued\n          floating-point data type.\n        - is a boolean, the default data type is the default boolean data type.\n        - is a complex number object of a known complex data type, the data type\n          is the same as the provided value.\n        - is a complex number object of an unknown data type, the default data\n          type is the default complex-valued floating-point data type.\n        - is any other value type, the default data type is 'generic'.\n\n    Returns\n    -------\n    out: Array|TypedArray\n        Output array.\n\n    Examples\n    --------\n    > var x = scalar2array( 1.0 )\n    <Float64Array>[ 1.0 ]\n\n    See Also\n    --------\n    iterator2array\n"
 scalar2ndarray,"\nscalar2ndarray( value[, options] )\n    Returns a zero-dimensional ndarray containing a provided scalar value.\n\n    If `value` is a number and `options.dtype` is a complex number data type,\n    the function returns a zero-dimensional ndarray containing a complex number\n    whose real component equals the provided scalar value and whose imaginary\n    component is zero.\n\n    Parameters\n    ----------\n    value: any\n        Scalar value.\n\n    options: Object (optional)\n        Options.\n\n    options.dtype: string (optional)\n        Data type. If not provided and `value`\n\n        - is a number, the default data type is the default real-valued\n          floating-point data type.\n        - is a boolean, the default data type is the default boolean data type.\n        - is a complex number object of a known complex data type, the data type\n          is the same as the provided value.\n        - is a complex number object of an unknown data type, the default data\n          type is the default complex-valued floating-point data type.\n        - is any other value type, the default data type is 'generic'.\n\n    options.order: string (optional)\n        Specifies whether an array is row-major (C-style) or column-major\n        (Fortran-style). Default: 'row-major'.\n\n    options.readonly: boolean (optional)\n        Boolean indicating whether an array should be read-only. Default: false.\n\n    Returns\n    -------\n    out: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var x = scalar2ndarray( 1.0 )\n    <ndarray>\n    > var sh = x.shape\n    []\n    > var dt = x.dtype\n    'float64'\n    > var v = x.get()\n    1.0\n\n    See Also\n    --------\n    array, ndarray\n"
-sdot,"\nsdot( x, y[, dim] )\n    Computes the dot product of two single-precision floating-point vectors.\n\n    If provided at least one input array having more than one dimension, the\n    input arrays are broadcasted to a common shape.\n\n    For multi-dimensional input arrays, the function performs batched\n    computation, such that the function computes the dot product for each pair\n    of vectors in `x` and `y` according to the specified dimension index.\n\n    The size of the contracted dimension must be the same for both input arrays.\n\n    The function resolves the dimension index for which to compute the dot\n    product *before* broadcasting.\n\n    If provided empty vectors, the dot product is `0`.\n\n    Parameters\n    ----------\n    x: ndarray\n        First input array. Must have a 'float32' data type. Must have at least\n        one dimension and be broadcast-compatible with the second input array.\n\n    y: ndarray\n        Second input array. Must have a 'float32' data type. Must have at least\n        one dimension and be broadcast-compatible with the first input array.\n\n    dim: integer (optional)\n        Dimension index for which to compute the dot product. Must be a negative\n        integer. Negative indices are resolved relative to the last array\n        dimension, with the last dimension corresponding to `-1`. Default: -1.\n\n    Returns\n    -------\n    out: ndarray\n        The dot product. The output array has the same data type as the input\n        arrays and has a shape which is determined by broadcasting and excludes\n        the contracted dimension.\n\n    Examples\n    --------\n    > var xbuf = new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );\n    > var x = array( xbuf );\n    > var ybuf = new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );\n    > var y = array( ybuf );\n    > var z = sdot( x, y )\n    <ndarray>\n    > z.get()\n    -5.0\n\n    See Also\n    --------\n    base.strided.sdot, ddot, gdot\n"
+sdot,"\nsdot( x, y[, dim] )\n    Computes the dot product of two single-precision floating-point vectors.\n\n    If provided at least one input array having more than one dimension, the\n    input arrays are broadcasted to a common shape.\n\n    For multi-dimensional input arrays, the function performs batched\n    computation, such that the function computes the dot product for each pair\n    of vectors in `x` and `y` according to the specified dimension index.\n\n    The size of the contracted dimension must be the same for both input arrays.\n\n    The function resolves the dimension index for which to compute the dot\n    product *before* broadcasting.\n\n    If provided empty vectors, the dot product is `0`.\n\n    Parameters\n    ----------\n    x: ndarray\n        First input array. Must have a 'float32' data type. Must have at least\n        one dimension and be broadcast-compatible with the second input array.\n\n    y: ndarray\n        Second input array. Must have a 'float32' data type. Must have at least\n        one dimension and be broadcast-compatible with the first input array.\n\n    dim: integer (optional)\n        Dimension index for which to compute the dot product. Must be a negative\n        integer. Negative indices are resolved relative to the last array\n        dimension, with the last dimension corresponding to `-1`. Default: -1.\n\n    Returns\n    -------\n    out: ndarray\n        The dot product. The output array has the same data type as the input\n        arrays and has a shape which is determined by broadcasting and excludes\n        the contracted dimension.\n\n    Examples\n    --------\n    > var xbuf = new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );\n    > var x = array( xbuf );\n    > var ybuf = new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );\n    > var y = array( ybuf );\n    > var z = sdot( x, y )\n    <ndarray>[ -5.0 ]\n\n    See Also\n    --------\n    base.strided.sdot, ddot, gdot\n"
 SECONDS_IN_DAY,"\nSECONDS_IN_DAY\n    Number of seconds in a day.\n\n    The value is a generalization and does **not** take into account\n    inaccuracies due to daylight savings conventions, crossing timezones, or\n    other complications with time and dates.\n\n    Examples\n    --------\n    > var days = 3.14;\n    > var secs = days * SECONDS_IN_DAY\n    271296\n\n"
 SECONDS_IN_HOUR,"\nSECONDS_IN_HOUR\n    Number of seconds in an hour.\n\n    The value is a generalization and does **not** take into account\n    inaccuracies due to daylight savings conventions, crossing timezones, or\n    other complications with time and dates.\n\n    Examples\n    --------\n    > var hrs = 3.14;\n    > var secs = hrs * SECONDS_IN_HOUR\n    11304\n\n"
 SECONDS_IN_MINUTE,"\nSECONDS_IN_MINUTE\n    Number of seconds in a minute.\n\n    The value is a generalization and does **not** take into account\n    inaccuracies arising due to complications with time and dates.\n\n    Examples\n    --------\n    > var mins = 3.14;\n    > var secs = mins * SECONDS_IN_MINUTE\n    188.4\n\n"