
{{alias}}( x, a, b )
    Evaluates the logarithm of the cumulative distribution function (CDF) for a
    uniform distribution with minimum support `a` and maximum support `b` at a
    value `x`.

    If provided `NaN` as any argument, the function returns `NaN`.

    If provided `a >= b`, the function returns `NaN`.

    Parameters
    ----------
    x: number
        Input value.

    a: number
        Minimum support.

    b: number
        Maximum support.

    Returns
    -------
    out: number
        Evaluated logCDF.

    Examples
    --------
    > var y = {{alias}}( 9.0, 0.0, 10.0 )
    ~-0.105
    > y = {{alias}}( 0.5, 0.0, 2.0 )
    ~-1.386
    > y = {{alias}}( {{alias:@stdlib/constants/float64/pinf}}, 2.0, 4.0 )
    0.0
    > y = {{alias}}( {{alias:@stdlib/constants/float64/ninf}}, 2.0, 4.0 )
    -Infinity
    > y = {{alias}}( NaN, 0.0, 1.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0 )
    NaN
    > y = {{alias}}( 0.0, 0.0, NaN )
    NaN
    > y = {{alias}}( 2.0, 1.0, 0.0 )
    NaN


{{alias}}.factory( a, b )
    Returns a function for evaluating the logarithm of the cumulative
    distribution function (CDF) of a uniform distribution with minimum support
    `a` and maximum support `b`.

    Parameters
    ----------
    a: number
        Minimum support.

    b: number
        Maximum support.

    Returns
    -------
    logcdf: Function
        Logarithm of Cumulative distribution function (CDF).

    Examples
    --------
    > var mylogcdf = {{alias}}.factory( 0.0, 10.0 );
    > var y = mylogcdf( 0.5 )
    ~-2.996
    > y = mylogcdf( 8.0 )
    ~-0.223

    See Also
    --------

