[Bugfix]Fix the tau2 bench metrics display in pass^k situation

[SJTUyh]

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Fix the tau2 bench metrics display in pass^k situation

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Fix the tau2 bench metrics display in pass^k situation

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[gemini-code-assist]

Code Review

This pull request updates the evaluation result dumping logic to include pass rates for all trial counts and modifies the configuration to use dynamic summary group names. Feedback suggests improving robustness by using .get() when accessing the metrics dictionary to avoid potential KeyError exceptions and ensuring the correct trial count is referenced for each dataset in the configuration list comprehension.

[gemini-code-assist]

The loop assumes that self.captured_metrics.pass_hat_ks contains all keys from 1 to num_trials. If the simulation results are incomplete or if compute_metrics returns a partial set of metrics, this will raise a KeyError. It is safer to use .get() or check for the key's existence before access to ensure robustness against partial evaluation results.

Suggested change

	for k in range(1, self.run_config.num_trials + 1):
	results[f"pass^{k}"] = 100 * self.captured_metrics.pass_hat_ks[k]
	for k in range(1, self.run_config.num_trials + 1):
	val = self.captured_metrics.pass_hat_ks.get(k)
	if val is not None:
	results[f"pass^{k}"] = 100 * val

[gemini-code-assist]

Using datasets[0] inside the list comprehension is fragile and potentially incorrect if different datasets have different trial counts. It is better to use the loop variable ds_config to ensure the correct num_trials is used for each subset, making the configuration more robust and accurate for heterogeneous dataset groups.

Suggested change

	_all_sub_set = [(ds_config["abbr"], f'pass^{datasets[0]["args"]["num_trials"]}') for ds_config in datasets]
	_all_sub_set = [(ds_config["abbr"], f'pass^{ds_config["args"]["num_trials"]}') for ds_config in datasets]