HDF5-based serialization library for Python datatypes
Project description
RWA-python serializes Python datatypes and stores them in HDF5 files.
Code example:
from rwa import HDF5Store
class CustomClass(object):
__slots__ = 'my_slot'
def __init__(self, slot=None):
self.my_slot = slot
# make any complex construct
any_object = CustomClass((CustomClass(5), dict(a=1)))
# serialize
hdf5 = HDF5Store('my_file.h5', 'w')
hdf5.poke('my object', any_object)
hdf5.close()
# deserialize
hdf5 = HDF5Store('my_file.h5', 'r')
reloaded_object = hdf5.peek('my object')
hdf5.close()
With Python3, RWA-python serialization is fully automatic. The library generates serialization schemes for most custom types. When deserializing objects, it also looks for and loads the modules where the corresponding types are defined.
If RWA-python complains about a type that cannot be serialized, a partial fix consists of ignoring this datatype:
hdf5_not_storable(type(unserializable_object))
With Python2, the library requires explicit definitions in most cases.
Installation
You will need Python >= 2.7 or >= 3.5.
pip install --user rwa-python
pip install will install some Python dependencies if missing, but you may still need to install the HDF5 reference library.
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