# This is an automatically generated file.
# DO NOT EDIT or your changes may be overwritten
from __future__ import annotations
import base64
import json
from xdrlib3 import Packer, Unpacker
from .base import DEFAULT_XDR_MAX_DEPTH
from .constants import TX_DEMAND_VECTOR_MAX_SIZE
from .hash import Hash
__all__ = ["TxDemandVector"]
[docs]
class TxDemandVector:
"""
XDR Source Code::
typedef Hash TxDemandVector<TX_DEMAND_VECTOR_MAX_SIZE>;
"""
def __init__(self, tx_demand_vector: list[Hash]) -> None:
_expect_max_length = TX_DEMAND_VECTOR_MAX_SIZE
if tx_demand_vector and len(tx_demand_vector) > _expect_max_length:
raise ValueError(
f"The maximum length of `tx_demand_vector` should be {_expect_max_length}, but got {len(tx_demand_vector)}."
)
self.tx_demand_vector = tx_demand_vector
def pack(self, packer: Packer) -> None:
packer.pack_uint(len(self.tx_demand_vector))
for tx_demand_vector_item in self.tx_demand_vector:
tx_demand_vector_item.pack(packer)
@classmethod
def unpack(
cls, unpacker: Unpacker, depth_limit: int = DEFAULT_XDR_MAX_DEPTH
) -> TxDemandVector:
if depth_limit <= 0:
raise ValueError("Maximum decoding depth reached")
length = unpacker.unpack_uint()
_remaining = len(unpacker.get_buffer()) - unpacker.get_position()
if _remaining < length:
raise ValueError(
f"tx_demand_vector length {length} exceeds remaining input length {_remaining}"
)
tx_demand_vector = []
for _ in range(length):
tx_demand_vector.append(Hash.unpack(unpacker, depth_limit - 1))
return cls(tx_demand_vector)
def to_xdr_bytes(self) -> bytes:
packer = Packer()
self.pack(packer)
return packer.get_buffer()
@classmethod
def from_xdr_bytes(cls, xdr: bytes) -> TxDemandVector:
unpacker = Unpacker(xdr)
result = cls.unpack(unpacker)
remaining = len(xdr) - unpacker.get_position()
if remaining != 0:
raise ValueError(f"Unexpected trailing {remaining} bytes in XDR data")
return result
def to_xdr(self) -> str:
xdr_bytes = self.to_xdr_bytes()
return base64.b64encode(xdr_bytes).decode()
@classmethod
def from_xdr(cls, xdr: str) -> TxDemandVector:
xdr_bytes = base64.b64decode(xdr.encode())
return cls.from_xdr_bytes(xdr_bytes)
def to_json(self) -> str:
return json.dumps(self.to_json_dict())
@classmethod
def from_json(cls, json_str: str) -> TxDemandVector:
return cls.from_json_dict(json.loads(json_str))
def to_json_dict(self):
return [item.to_json_dict() for item in self.tx_demand_vector]
@classmethod
def from_json_dict(cls, json_value: list) -> TxDemandVector:
return cls([Hash.from_json_dict(item) for item in json_value])
def __hash__(self):
return hash((self.tx_demand_vector,))
def __eq__(self, other: object):
if not isinstance(other, self.__class__):
return NotImplemented
return self.tx_demand_vector == other.tx_demand_vector
def __repr__(self):
return f"<TxDemandVector [tx_demand_vector={self.tx_demand_vector}]>"