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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _check_log_scale(base, sides, scales, coord):
 """ Check the log transforms Parameters base : float or None Base of the logarithm in which the ticks will be calculated. If ``None``, the base of the log transform the scale will be used. sides : str (default: bl) Sides onto which to draw the marks. Any combination chosen from the characters ``btlr``, for *bottom*, *top*, *left* or *right* side marks. If ``coord_flip()`` is used, these are the sides *after* the flip. scales : SimpleNamespace ``x`` and ``y`` scales. coord : coord Coordinate (e.g. coord_cartesian) system of the geom. Returns ------- out : tuple The bases (base_x, base_y) to use when generating the ticks. """

        def is_log(trans):
            return (trans.__class__.__name__.startswith('log') and
                    hasattr(trans, 'base'))

        base_x, base_y = base, base
        x_is_log = is_log(scales.x.trans)
        y_is_log = is_log(scales.y.trans)
        if isinstance(coord, coord_flip):
            x_is_log, y_is_log = y_is_log, x_is_log

        if 't' in sides or 'b' in sides:
            if base_x is None:
                base_x = scales.x.trans.base

            if not x_is_log:
                warnings.warn(
                    "annotation_logticks for x-axis which does not have "
                    "a log scale. The logticks may not make sense.",
                    PlotnineWarning)
            elif x_is_log and base_x != scales.x.trans.base:
                warnings.warn(
                    "The x-axis is log transformed in base {} ,"
                    "but the annotation_logticks are computed in base {}"
                    "".format(base_x, scales.x.trans.base),
                    PlotnineWarning)

        if 'l' in sides or 'r' in sides:
            if base_y is None:
                base_y = scales.y.trans.base

            if not y_is_log:
                warnings.warn(
                    "annotation_logticks for y-axis which does not have "
                    "a log scale. The logticks may not make sense.",
                    PlotnineWarning)
            elif y_is_log and base_y != scales.x.trans.base:
                warnings.warn(
                    "The y-axis is log transformed in base {} ,"
                    "but the annotation_logticks are computed in base {}"
                    "".format(base_y, scales.x.trans.base),
                    PlotnineWarning)
        return base_x, base_y