Cell array of arrays of doubles cannot be fetched in python, only in matlab about datajoint-python HOT 3 OPEN

For now I've managed to fetch with the temporary fix below. I don't think it's very robust, but I'm copying it here in case it's informative.

def read_cell_array(self):
        """deserialize MATLAB cell array"""
        n_dims = self.read_value()
        shape = self.read_value(count=n_dims)
        n_elem = int(np.prod(shape))
        result = [self.read_blob(n_bytes=self.read_value()) for _ in range(n_elem)]
        if n_elem != len(np.ravel(result, order="F")): # if not all elements are scalars. shouldn't work for ragged arrays
            shape = (-1,) + tuple(shape[1:n_dims])
        return (
            self.squeeze(
                np.array(result).reshape(shape, order="F"), convert_to_scalar=False
            )
        ).view(MatCell)

from datajoint-python.

Thanks for the report, @renanmcosta. Typically the MATLAB cell array gets properly packed and unpacked. We have not encountered the error that you reported. We will investigate further and get back to you.

from datajoint-python.

Greetings,

I have just encountered the same problem, and temp fix seems to work (Thanks a lot @renanmcosta)

Temporary fix returns an array but with shape = (537000, 2).
In matlab its an 1×2 cell array {10×5370×10 single} {10×5370×10 single}.

type(temp_fixed) --> datajoint.blob.MatCell

Am I able to retrieve the original dimensions or this is a robustness problem of the temporary fix?

Thanks in advance

from datajoint-python.