[Python] Is it possible to create numpy array in shared_memory using custom dtypes?

I can succesfully create numpy arrays with simple dtypes (int32 etc). But when i try to use something like :

b_shared_memory = shared_memory.SharedMemory(create=True, name = "test235", size = 100_000)
my_dtype = [('name', 'U10'), ('age', 'i4'), ('weight', 'f4')]
x = np.array([('Rex', 9, 81.0), ('Fido', 3, 27.0)], dtype=my_dtype, buffer=b_shared_memory.buf)


it returns an error:

TypeError: array() got an unexpected keyword argument 'buffer'
​

I have tried different dtypes combinations, but when its heterogeneous it always fails

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