def METHOD_NAME(self, date="today", bug_ids=[]):
    # Retrieve the bugs with the fields defined in get_bz_params
    raw_bugs = super().METHOD_NAME(date=date, bug_ids=bug_ids, chunk_size=7000)
    if len(raw_bugs) == 0:
        return {}
    # Extract the bug ids
    bug_ids = list(raw_bugs.keys())
    # Classify those bugs
    bugs = get_bug_ids_classification("defectenhancementtask", bug_ids)
    results = {}
    for bug_id in sorted(bugs.keys()):
        bug_data = bugs[bug_id]
        if not bug_data.get("available", True):
            # The bug was not available, it was either removed or is a
            # security bug
            continue
        if not {"prob", "index", "class", "extra_data"}.issubset(bug_data.keys()):
            raise Exception(f"Invalid bug response {bug_id}: {bug_data!r}")
        bug = raw_bugs[bug_id]
        prob = bug_data["prob"]
        index = bug_data["index"]
        suggestion = bug_data["class"]
        labels_map = bug_data["extra_data"]["labels_map"]
        assert suggestion in {
            "defect",
            "enhancement",
            "task",
        }, f"Suggestion {suggestion} is invalid"
        if bug["type"] == suggestion:
            continue
        defect_prob = prob[labels_map["defect"]]
        enhancement_prob = prob[labels_map["enhancement"]]
        task_prob = prob[labels_map["task"]]
        results[bug_id] = {
            "id": bug_id,
            "summary": bug["summary"],
            "type": bug["type"],
            "bugbug_type": suggestion,
            "confidence": nice_round(prob[index]),
            "confidences": f"defect {nice_round(defect_prob)}, enhancement {nice_round(enhancement_prob)}, task {nice_round(task_prob)}",
            "autofixed": False,
        }
        # Only autofix results for which we are sure enough.
        # And only autofix defect -> task/enhancement for now, unless we're 100% sure.
        """if prob[index] == 1.0 or (
            bug["type"] == "defect"
            and (enhancement_prob + task_prob)
            >= self.get_config("confidence_threshold")
        ):"""
        if prob[index] == 1.0:
            results[bug_id]["autofixed"] = True
            self.autofix_type[bug["id"]] = suggestion
    return results