tools/fidl/fidlgen_python/goldens/vectors.py.golden

# WARNING: This file is machine generated by fidlgen.

from __future__ import annotations

from dataclasses import dataclass
from fidl_codec import add_ir_path, encode_fidl_object
import sys
import typing
import enum

import fidl
from fidl._ir import get_fidl_ir_map

_ir_path = get_fidl_ir_map()["test.vectors"]
add_ir_path(_ir_path)


@dataclass
class ExampleUseOfVectors:
    vector_of_uint8: typing.Sequence[int]
    vector_of_vector_of_bool: typing.Sequence[typing.Sequence[bool]]

    __fidl_kind__ = "struct"
    __fidl_type__ = "ExampleUseOfVectors"
    __fidl_raw_type__ = "test.vectors/ExampleUseOfVectors"

    # TODO(https://fxbug.dev/394421154): We should probably remove this method when we
    # start making breaking changes.
    def __getitem__(self, item: str):  # type: ignore
        if not isinstance(item, str):
            raise TypeError("Subscripted item must be a string")
        return getattr(self, item)

    # TODO(https://fxbug.dev/394421154): We should probably return a more readable type.
    def encode(self) -> tuple[bytes, list[tuple[int, int, int, int, int]]]:
        return encode_fidl_object(
            self, "test.vectors", "test.vectors/ExampleUseOfVectors"
        )

    # TODO(https://fxbug.dev/394421154): Assigning None (incorrectly) to each type is a consequence
    # of needing to support creation of a "default object" before decoding.
    @classmethod
    def make_default(cls) -> typing.Self:
        return cls(
            **{
                "vector_of_uint8": None,  # type: ignore[arg-type,unused-ignore]
                "vector_of_vector_of_bool": None,  # type: ignore[arg-type,unused-ignore]
            }
        )