refactor: updated OpenMLEvaluation to use dataclass decarotor

[rohansen856]

I have Refactored the OpenMLEvaluation class from a traditional Python class to use the @dataclass decorator to reduce boilerplate code and improve code maintainability.

Metadata

• Reference Issue: [ENH] Refactor OpenMLEvaluation to Use Dataclass #1540
• New Tests Added: No
• Documentation Updated: No
• Change Log Entry: Refactored the OpenMLEvaluation class to use the @dataclass

Details

Edited the OpenMLEvaluation class in openml\evaluations\evaluation.py to use @dataclass decorator. This significantly reduces the boilerplate code in the following places:

• Instance Variable Definitions

Before:

def__init__( self, run_id: int, task_id: int, setup_id: int, flow_id: int, flow_name: str, data_id: int, data_name: str, function: str, upload_time: str, uploader: int, uploader_name: str, value: float|None, values: list[float] |None, array_data: str|None=None, ): self.run_id=run_idself.task_id=task_idself.setup_id=setup_idself.flow_id=flow_idself.flow_name=flow_nameself.data_id=data_idself.data_name=data_nameself.function=functionself.upload_time=upload_timeself.uploader=uploaderself.uploader_name=uploader_nameself.value=valueself.values=valuesself.array_data=array_data

After:

run_id: inttask_id: intsetup_id: intflow_id: intflow_name: strdata_id: intdata_name: strfunction: strupload_time: struploader: intuploader_name: strvalue: float|Nonevalues: list[float] |Nonearray_data: str|None=None

• _to_dict Method Simplification

Before:

def_to_dict(self) ->dict: return{"run_id": self.run_id, "task_id": self.task_id, "setup_id": self.setup_id, "flow_id": self.flow_id, "flow_name": self.flow_name, "data_id": self.data_id, "data_name": self.data_name, "function": self.function, "upload_time": self.upload_time, "uploader": self.uploader, "uploader_name": self.uploader_name, "value": self.value, "values": self.values, "array_data": self.array_data, }

After:

def_to_dict(self) ->dict: returnasdict(self)

All tests are passing with accordnce to the changes:

PS C:\Users\ASUS\Documents\work\opensource\openml-python> pytest tests/test_evaluations/ ======================================= test session starts ======================================= platform win32 -- Python 3.14.0, pytest-9.0.2, pluggy-1.6.0 rootdir: C:\Users\ASUS\Documents\work\opensource\openml-python configfile: pyproject.toml plugins: anyio-4.12.0, flaky-3.8.1, asyncio-1.3.0, cov-7.0.0, mock-3.15.1, rerunfailures-16.1, timeout-2.4.0, xdist-3.8.0, requests-mock-1.12.1 asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 13 items tests\test_evaluations\test_evaluation_functions.py ............ [ 92%] tests\test_evaluations\test_evaluations_example.py . [100%] ================================= 13 passed in 274.80s (0:04:34) ================================== 

[geetu040]

In the order list, also fix the first item "Uploader Date" to "Upload Date"

[geetu040]

Suggested change

	"OpenML Task URLFlow ID",
	"OpenML Task URL",
	"Flow ID",