Decorator to register a crypto primitive provider. Args: name (str): Name of the primitive. # noqa: DAR201

Decorator to add primitives to the store. Args: name (str): Name of the primitive. # noqa: DAR201

Decorator to retrieve primitives from the store. Args: name (str): Name of the primitive. # noqa: DAR201

Apply the "rmatmul" operation between "y" and "self". Args: y: self@y Raises: NotImplementedError: Raised wh

Apply the "rmatmul" operation between "y" and "self". Args: y (torch.Tensor): y @ self Returns: ShareTensor.

Apply the "rmatmul" operation between "y" and "self". Args: y (Union["MPCTensor", torch.Tensor, float, int]): y @ self R

Apply the "rshift" operation to "self". Args: y (int): shift value Returns: ReplicatedSharedTensor: Result o

Apply the "sub" operation between "y" and "self". Args: y (Union[int, float, torch.Tensor, "ReplicatedSharedTensor"]): y -self

Apply the "sub" operation between "y" and "self". Args: y (Union[int, float, torch.Tensor, "ShareTensor"]): y - self Ret

Apply the "sub" operation between "y" and "self". Args: y (Union["MPCTensor", torch.Tensor, float, int]): self - y Retur

Apply recriprocal of MPCTensor. Args: y (Union[torch.Tensor, float, int]): Numerator. Returns: MPCTensor: Re

Run the inference on the passed in model. Args: expected: the origin model mpc_model: the Syft model x_mpc: the MPCTensor

Scale for the FixedPrecision Encoder. Returns: int: the scale.

Set the current sessionfor a party. Args: session (Session): session to be set

Share remote state dictionary between the parties of the session. Arguments: session: Session holding different information like the part

Share the parameters of the normal Linear layer. Args: state_dict (Dict[str, Any]): the state dict that would be shared

Spdz mask. Args: x_sh (ShareTensor): X share. y_sh (ShareTensor): Y share. op_str (str): Operator. Returns:

Helper method that performs torch.stack on the shares of the Tensors. Args: session_uuid_str (str): UUID to identify the session on each

Perform one step of gradient descent.

Apply the "sub" operation between "self" and "y". Args: y (Union[int, float, torch.Tensor, "ReplicatedSharedTensor"]): self - y

Apply the "sub" operation between "self" and "y". Args: y (Union[int, float, torch.Tensor, "ShareTensor"]): self - y Ret

Apply the "sub" operation between "self" and "y". Args: y (Union["MPCTensor", torch.Tensor, float, int]): self - y Retur

Computes subtraction(x-y) modulo PRIME_NUMBER constant. Args: x (torch.Tensor): input tensor y (torch.tensor): input

Test __eq__ for Session.

Exception when there exists no key in store.

Exception when there exists a key in store but has no primitive.

Test the base setter for the FixedPointEncoder.

Test correct decoding with FixedPointEncoder.

Test correct FixedPointEncoder initialisation.

Test correct encoding with FixedPointEncoder.

Test the precision setter for the FixedPointEncoder.

Test the string representation of the FixedPointEncoder.