    def getImgIds(self, quesIds=[], quesTypes=[], ansTypes=[]):
        """
         Get image ids that satisfy given filter conditions. default skips that filter
         :param quesIds   (int array)   : get image ids for given question ids
        quesTypes (str array)   : get image ids for given question types
        ansTypes  (str array)   : get image ids for given answer types
         :return: ids     (int array)   : integer array of image ids
        """
        quesIds = quesIds if type(quesIds) == list else [quesIds]
        quesTypes = quesTypes if type(quesTypes) == list else [quesTypes]
        ansTypes = ansTypes if type(ansTypes) == list else [ansTypes]

        if len(quesIds) == len(quesTypes) == len(ansTypes) == 0:
            anns = self.dataset["annotations"]
        else:
            if not len(quesIds) == 0:
                anns = sum(
                    [self.qa[quesId] for quesId in quesIds if quesId in self.qa], []
                )
            else:
                anns = self.dataset["annotations"]
            anns = (
                anns
                if len(quesTypes) == 0
                else [ann for ann in anns if ann["question_type"] in quesTypes]
            )
            anns = (
                anns
                if len(ansTypes) == 0
                else [ann for ann in anns if ann["answer_type"] in ansTypes]
            )
        ids = [ann["image_id"] for ann in anns]
        return ids
Get image ids that satisfy given filter conditions. default skips that filter
:param quesIds   (int array)   : get image ids for given question ids
quesTypes (str array)   : get image ids for given question types
ansTypes  (str array)   : get image ids for given answer types
:return: ids     (int array)   : integer array of image ids
open_flamingo/eval/vqa_metric.py