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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 shape(cls, dataset):
 """ Returns the shape of all subpaths, making it appear like a single array of concatenated subpaths separated by NaN values. """

        if not dataset.data:
            return (0, len(dataset.dimensions()))

        rows, cols = 0, 0
        ds = cls._inner_dataset_template(dataset)
        for d in dataset.data:
            ds.data = d
            r, cols = ds.interface.shape(ds)
            rows += r
        return rows+len(dataset.data)-1, cols