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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 _validate_num_clusters(num_clusters, initial_centers, num_rows):
 """ Validate the combination of the `num_clusters` and `initial_centers` parameters in the Kmeans model create function. If the combination is valid, determine and return the correct number of clusters. Parameters num_clusters : int Specified number of clusters. initial_centers : SFrame Specified initial cluster center locations, in SFrame form. If the number of rows in this SFrame does not match `num_clusters`, there is a problem. num_rows : int Number of rows in the input dataset. Returns ------- _num_clusters : int The correct number of clusters to use going forward """


    ## Basic validation
    if num_clusters is not None and not isinstance(num_clusters, int):
        raise _ToolkitError("Parameter 'num_clusters' must be an integer.")

    ## Determine the correct number of clusters.
    if initial_centers is None:
        if num_clusters is None:
            raise ValueError("Number of clusters cannot be determined from " +
                             "'num_clusters' or 'initial_centers'. You must " +
                             "specify one of these arguments.")
        else:
            _num_clusters = num_clusters

    else:
        num_centers = initial_centers.num_rows()

        if num_clusters is None:
            _num_clusters = num_centers
        else:
            if num_clusters != num_centers:
                raise ValueError("The value of 'num_clusters' does not match " +
                                 "the number of provided initial centers. " +
                                 "Please provide only one of these arguments " +
                                 "or ensure the values match.")
            else:
                _num_clusters = num_clusters

    if _num_clusters > num_rows:
        raise ValueError("The desired number of clusters exceeds the number " +
                         "of data points. Please set 'num_clusters' to be " +
                         "smaller than the number of data points.")

    return _num_clusters