bug fixing : AttributeError: 'LifelongLearning' object has no attribute 'my_evaluate' #284

[katara-Jayprakash]

Fixes #284

[gemini-code-assist]

Summary of Changes

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This pull request addresses a critical AttributeError by correcting a method invocation within the lifelong learning paradigm's evaluation process. The change ensures that the correct evaluate method is called and that its return values are handled appropriately, thereby restoring the intended functionality of the evaluation step.

Highlights

• Bug Fix: Resolved an AttributeError that occurred when attempting to call a non-existent method my_evaluate on a LifelongLearning object.
• Method Call Correction: The incorrect method call job.my_evaluate was updated to the correct job.evaluate within the my_eval function.
• Return Value Adjustment: Modified the assignment of the method's return value to correctly handle the output of job.evaluate, removing the unpacking of edge_task_index and tasks_detail which are not returned by the evaluate method.

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[gemini-code-assist]

Code Review

This pull request aims to fix an AttributeError by renaming a method call from my_evaluate to evaluate. While this addresses the original error, the change introduces a critical NameError because the function now attempts to return variables that are no longer defined. My review includes a comment with a suggested fix to correctly handle the return values and prevent the new error, ensuring the function's contract with its callers is maintained.

[gemini-code-assist]

This change fixes the AttributeError by replacing job.my_evaluate with job.evaluate. However, it introduces a new critical bug. The my_eval function's return statement on line 423 (return edge_task_index, tasks_detail, res) will now fail with a NameError because the variables edge_task_index and tasks_detail are no longer defined within this function. Callers of my_eval (e.g., on line 108) expect all three return values.

If job.evaluate returns three values, the fix should be to unpack all of them. This would be a direct fix for the AttributeError while preserving the function's contract. If job.evaluate only returns a single value (as its usage in _eval suggests), then this function and its callers need a more significant refactoring to handle the missing values.

Suggested change

	res = job.evaluate(eval_dataset, metrics=metric_func)
	edge_task_index, tasks_detail, res = job.evaluate(eval_dataset, metrics=metric_func)

[katara-Jayprakash]

@abhishek-8081

[MooreZheng]

@abhishek-8081 is this pull request solved your issue？

[AryanNanda17]

CI check is failing, please check.
Please test this out. @katara-Jayprakash