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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 _correct_dims(data):
 """Standardize dimensions to bands, y, and x."""

        if not hasattr(data, 'dims'):
            raise TypeError("Data must have a 'dims' attribute.")

        # doesn't actually copy the data underneath
        # we don't want our operations to change the user's data
        data = data.copy()

        if 'y' not in data.dims or 'x' not in data.dims:
            if data.ndim != 2:
                raise ValueError("Data must have a 'y' and 'x' dimension")

            # rename dimensions so we can use them
            # don't rename 'x' or 'y' if they already exist
            if 'y' not in data.dims:
                # find a dimension that isn't 'x'
                old_dim = [d for d in data.dims if d != 'x'][0]
                data = data.rename({old_dim: 'y'})
            if 'x' not in data.dims:
                # find a dimension that isn't 'y'
                old_dim = [d for d in data.dims if d != 'y'][0]
                data = data.rename({old_dim: 'x'})

        if "bands" not in data.dims:
            if data.ndim <= 2:
                data = data.expand_dims('bands')
                data['bands'] = ['L']
            else:
                raise ValueError("No 'bands' dimension provided.")

        return data