Source code for yggdrasil.serialize.MatSerialize

import io as sio
import numpy as np
from scipy.io import savemat, loadmat
from yggdrasil import platform
from yggdrasil.serialize.SerializeBase import SerializeBase


[docs]class MatSerialize(SerializeBase): r"""Class for serializing a python object into a bytes message using the Matlab .mat format.""" _seritype = 'mat' _schema_subtype_description = ('Serializes objects using the Matlab .mat ' 'format.') default_datatype = {'type': 'object'} file_extensions = ['.mat'] concats_as_str = False
[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 = sio.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 = sio.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 concatenate(cls, objects, **kwargs): r"""Concatenate objects to get object that would be recieved if the concatenated serialization were deserialized. Args: objects (list): Objects to be concatenated. **kwargs: Additional keyword arguments are ignored. Returns: list: Set of objects that results from concatenating those provided. """ total = {} for x in objects: total.update(x) return [total]
[docs] @classmethod def get_testing_options(cls, **kwargs): 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)]])} msg1 = {'a': np.array([[int(1)]]), 'b': np.array([[float(1)]])} msg2 = {'c': np.array([[int(1)]]), 'd': np.array([[float(1)]])} out = super(MatSerialize, cls).get_testing_options() out['objects'] = [msg1, msg2] out['empty'] = dict() out['contents'] = cls().func_serialize(cls.concatenate(out['objects'])[0]) out['contents'] = out['contents'].replace(b'\n', platform._newline) out['exact_contents'] = False # Contains a time stamp return out