Source code for openfhe_numpy.tensor.ptarray

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from .tensor import FHETensor  # Use relative import
from .ctarray import CTArray
from openfhe import Plaintext, CryptoContext, PublicKey


# -----------------------------------------------------------
# PTArray - Plaintext Tensor
# -----------------------------------------------------------
[docs] class PTArray(FHETensor[Plaintext]): """Concrete tensor class for OpenFHE plaintexts."""
[docs] def clone(self, data=None): return PTArray( data or self.data, self.original_shape, self.batch_size, self.ncols, self.order, )
[docs] def encrypt(self, crypto_context: CryptoContext, public_key: PublicKey): ciphertext = crypto_context.Encrypt(public_key, self.data) return CTArray( ciphertext, self.original_shape, self.batch_size, self.shape, self.order, )
[docs] def decrypt(self, *args, **kwargs): raise NotImplementedError("Decrypt not implemented for plaintext")
def __repr__(self) -> str: return f"PTArray(meta={self.metadata})"
[docs] def serialize(self) -> dict: raise NotImplementedError("Serialize not implemented for plaintext")
[docs] @classmethod def deserialize(cls, obj: dict) -> "PTArray": raise NotImplementedError("Deserialize not implemented for plaintext")