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# DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_content,
_message,
_property_bag,
)
@dataclasses.dataclass
class Region(object):
"""A region within an artifact where a result was detected."""
byte_length: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "byteLength"}
)
byte_offset: int = dataclasses.field(
default=-1, metadata={"schema_property_name": "byteOffset"}
)
char_length: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "charLength"}
)
char_offset: int = dataclasses.field(
default=-1, metadata={"schema_property_name": "charOffset"}
)
end_column: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "endColumn"}
)
end_line: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "endLine"}
)
message: Optional[_message.Message] = dataclasses.field(
default=None, metadata={"schema_property_name": "message"}
)
properties: Optional[_property_bag.PropertyBag] = dataclasses.field(
default=None, metadata={"schema_property_name": "properties"}
)
snippet: Optional[_artifact_content.ArtifactContent] = dataclasses.field(
default=None, metadata={"schema_property_name": "snippet"}
)
source_language: Optional[str] = dataclasses.field(
default=None, metadata={"schema_property_name": "sourceLanguage"}
)
start_column: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "startColumn"}
)
start_line: Optional[int] = dataclasses.field(
default=None, metadata={"schema_property_name": "startLine"}
)
# flake8: noqa
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