# This is an automatically generated file.
# DO NOT EDIT or your changes may be overwritten
from __future__ import annotations
import base64
from typing import List
from xdrlib3 import Packer, Unpacker
from .constants import *
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) -> TxDemandVector:
length = unpacker.unpack_uint()
tx_demand_vector = []
for _ in range(length):
tx_demand_vector.append(Hash.unpack(unpacker))
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)
return cls.unpack(unpacker)
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 __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 __str__(self):
return f"<TxDemandVector [tx_demand_vector={self.tx_demand_vector}]>"