hdf5 2.0 complex types

Author: scivision

README.md

@@ -161,7 +161,7 @@ On HPC, we suggest using the HDF5 library provided by the HPC system for best pe
 ### h5fortran: missing HDF5 features
 
 * arrays of rank > 7: prototyped in reader_nd.f90, writer_nd.f90. Fortran 2008 arrays are up to rank 15, but only recent compilers support.
-* complex64 / complex128: not natively handled in HDF5. There are performance impacts for compound datatypes. Many choose to write two datasets, one each for real and imaginary like `A_real` and `A_imag`
+* complex64 / complex128: enabled by HDF5 ≥ 2.0, but not yet implemented in h5fortran.
 * non-default character kind -- we do pass-through UTF8
 * logical / boolean: not supported natively by HDF5. h5py implements as [enum](https://docs.h5py.org/en/stable/faq.html#what-datatypes-are-supported).
 * variable length dataset writing

ford.md

@@ -171,6 +171,6 @@ python3 scripts/build_hdf5.py
 ### h5fortran: missing Fortran datatypes
 
 * arrays of rank > 7: prototyped in reader_nd.f90, writer_nd.f90. Fortran 2008 arrays are up to rank 15, but only recent compilers support.
-* complex64 / complex128: not natively handled in HDF5. There are performance impacts for compound datatypes. Many choose to write two datasets, one each for real and imaginary like `A_real` and `A_imag`
+* complex64 / complex128: enabled by HDF5 ≥ 2.0, but not yet implemented in h5fortran.
 * non-default character kind
 * logical / boolean: not supported natively by HDF5. h5py implements as [enum](https://docs.h5py.org/en/stable/faq.html#what-datatypes-are-supported).