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Description
I'm creating a backend to use transparently pytables, h5py and h5pyd. I ran my test suite on h5pyd and am confronted with the issue of the variable length array. In h5py, they manage to do it using a "special" dtype: h5py.string_dtype or h5py.vlen_dtype . After some digging in I found in h5pyd, the function special_dtype where the docstring seems promising:
vlen = basetype
Base type for HDF5 variable-length datatype. This can be Python
str type or instance of np.dtype.
Example: special_dtype( vlen=str )
however after trying it out it seems its working only in the case where vlen=str and not any numpy dtype. Using a special dtype of np.uint32s I could create a dataset but when trying to access a given element I got this traceback:
File "<ipython-input-114-66578725db5f>", line 1, in <module> dset[0] File "C:\Miniconda3\envs\pymodaq_dev\lib\site-packages\h5pyd\_hl\dataset.py", line 802, in __getitem__ arr1d = bytesToArray(rsp, mtype, page_mshape) File "C:\Miniconda3\envs\pymodaq_dev\lib\site-packages\h5pyd\_hl\base.py", line 503, in bytesToArray offset = readElement(data, offset, arr, index, dt) File "C:\Miniconda3\envs\pymodaq_dev\lib\site-packages\h5pyd\_hl\base.py", line 467, in readElement arr[index] = vlen(0) TypeError: 'numpy.dtype' object is not callable
Then a bit further in the code I found :
def check_dtype(**kwds):
""" Check a dtype for h5py special type "hint" information. Only one
keyword may be given.vlen = dtype If the dtype represents an HDF5 vlen, returns the Python base class. Currently only builting string vlens (str) are supported. Returns None if the dtype does not represent an HDF5 vlen.
So the question is: is it or will it be possible to use any numpy dtype for variable length arrays in h5pyd?
Thx