Casting - Cast your data structure to bytes¶

manta_light.utils.dict_to_bytes(d: dict) → bytes¶

Convert a dictionary to bytes

Parameters:: d (dict) – The dictionary to convert
Returns:: The bytes representation of the dictionary
Return type:: bytes

Examples

>>> from manta_light.utils import dict_to_bytes
>>> dictionary = {"key1": ["a", "b"], "key2", 0.2}
>>> dict_to_bytes(dictionary)

Note

You can also find dict_to_bytes in manta.utils.

manta_light.utils.bytes_to_dict(b: bytes) → dict¶

Convert bytes to a dictionary

Parameters:: b (bytes) – The bytes to convert
Returns:: The dictionary representation of the bytes
Return type:: dict

Examples

>>> from manta_light.utils import dict_to_bytes
>>> dictionary = {"key1": ["a", "b"], "key2", 0.2}
>>> dict_bytes = dict_to_bytes(dictionary)
>>> bytes_to_dict(dict_bytes)

Note

You can also find bytes_to_dict in manta.utils.

manta_light.utils.torchmodel_to_bytes(model: torch.nn.Module) → bytes¶

Transform a torch model into bytes

Parameters:: model ("torch.nn.Module") – Torch model
Returns:: Bytes from the torch model
Return type:: bytes

Examples

>>> from torch.nn import Linear, ReLU, Sequential
>>> from manta_light.utils import bytes_to_torchmodel, torchmodel_to_bytes
>>> torch_model = Sequential(
...     Linear(3, 2), ReLU(), Linear(2, 1), ReLU(), Linear(1, 1), ReLU()
... )
>>> torchmodel_to_bytes(torch_model)

manta_light.utils.bytes_to_torchmodel(b: bytes) → torch.nn.Module¶

Transform bytes to torch model

Parameters:: b (bytes) – Bytes from a torch model
Returns:: Torch model
Return type:: “torch.nn.Module”

Examples

>>> from torch.nn import Linear, ReLU, Sequential
>>> from manta_light.utils import bytes_to_torchmodel, torchmodel_to_bytes
>>> torch_model = Sequential(
...     Linear(3, 2), ReLU(), Linear(2, 1), ReLU(), Linear(1, 1), ReLU()
... )
>>> model_bytes = torchmodel_to_bytes(torch_model)
>>> bytes_to_torchmodel(model_bytes)

manta_light.utils.numpy_to_bytes(data: ndarray | list | dict) → bytes | dict¶

Recursive function which converts a numpy array or iterator with numpy arrays to bytes

Parameters:: data (np.array) – The numpy array to convert
Returns:: The bytes representation of the numpy array
Return type:: bytes

Examples

From np.array

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> np_array = np.array([1, 2, 3])
>>> numpy_to_bytes(np_array)

From Dict[str, np.array]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> dict_np_array = {"key1": np.array([1, 2, 3]), "key2": np.array([4, 5, 6])}
>>> numpy_to_bytes(dict_np_array)

From Dict[str, list]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> dict_list = {"key1": [1, 2, 3], "key2": [4, 5, 6]}
>>> numpy_to_bytes(dict_list)

From List[np.array]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> list_np_array = [np.array([1, 2, 3]), np.array([4, 5, 6])]
>>> numpy_to_bytes(list_np_array)

manta_light.utils.bytes_to_numpy(b: bytes | dict) → ndarray | dict¶

Convert bytes to a numpy array

Parameters:: b (bytes) – The bytes to convert
Returns:: The numpy array representation of the bytes
Return type:: np.array

Examples

From np.array

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> np_array = np.array([1, 2, 3])
>>> np_bytes = numpy_to_bytes(np_array)
>>> bytes_to_numpy(np_bytes)

From Dict[str, np.array]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> dict_np_array = {"key1": np.array([1, 2, 3]), "key2": np.array([4, 5, 6])}
>>> np_bytes = numpy_to_bytes(dict_np_array)
>>> bytes_to_numpy(np_bytes)

From Dict[str, list]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> dict_list = {"key1": [1, 2, 3], "key2": [4, 5, 6]}
>>> np_bytes = numpy_to_bytes(dict_list)
>>> bytes_to_numpy(np_bytes)

From List[np.array]

>>> import numpy as np
>>> from manta_light.utils import bytes_to_numpy, numpy_to_bytes
>>> list_np_array = [np.array([1, 2, 3]), np.array([4, 5, 6])]
>>> np_bytes = numpy_to_bytes(list_np_array)
>>> bytes_to_numpy(np_bytes)