import numpy as np
from scipy.io import savemat, loadmat
from cis_interface import backwards, platform
from cis_interface.serialize import register_serializer
from cis_interface.serialize.DefaultSerialize import DefaultSerialize
[docs]@register_serializer
class MatSerialize(DefaultSerialize):
r"""Class for serializing a python object into a bytes message using the
Matlab .mat format."""
_seritype = 'mat'
_schema_properties = {}
_default_type = {'type': 'object'}
[docs] def func_serialize(self, args):
r"""Serialize a message.
Args:
args (obj): Python object to be serialized.
Returns:
bytes, str: Serialized message.
Raises:
TypeError: If args is not a dictionary.
"""
if not isinstance(args, dict):
raise TypeError('Object (type %s) is not a dictionary' %
type(args))
fd = backwards.BytesIO()
savemat(fd, args)
out = fd.getvalue()
fd.close()
return out
[docs] def func_deserialize(self, msg):
r"""Deserialize a message.
Args:
msg (str, bytes): Message to be deserialized.
Returns:
obj: Deserialized Python object.
"""
fd = backwards.BytesIO(msg)
out = loadmat(fd, matlab_compatible=True)
mat_keys = ['__header__', '__globals__', '__version__']
for k in mat_keys:
del out[k]
fd.close()
return out
[docs] @classmethod
def get_testing_options(cls):
r"""Method to return a dictionary of testing options for this class.
Returns:
dict: Dictionary of variables to use for testing.
"""
msg = {'a': np.array([[int(1)]]), 'b': np.array([[float(1)]])}
out = super(MatSerialize, cls).get_testing_options()
out['objects'] = [msg, msg]
out['empty'] = dict()
out['contents'] = cls().func_serialize(msg)
out['contents'] = out['contents'].replace(b'\n', platform._newline)
return out