以下代码迁移到mindspore
    def __getitem__(self, index):
        if self.args.larger_mem:
            if self.train:
                train_video_name = []
                start_index = []
                anomaly_indexs = random.sample(self.anomaly_video_train, self.args.sample_size)
                normaly_indexs = random.sample(self.normal_video_train, self.args.sample_size)
                anomaly_features = ops.Zeros(0)
                normaly_features = ops.Zeros(0)
                for a_i, n_i in zip(anomaly_indexs, normaly_indexs):
                    anomaly_data_video_name = a_i.replace('\n', '').replace('Ped', 'ped')
                    normaly_data_video_name = n_i.replace('\n', '').replace('Ped', 'ped')
                    train_video_name += anomaly_data_video_name
                    train_video_name += normaly_data_video_name
                    anomaly_feature = self.data_dict[anomaly_data_video_name]
                    anomaly_feature, r = utils.process_feat_sample(anomaly_feature, self.t_max)
                    start_index += r
                    anomaly_feature = mindspore.Tensor.from_numpy(anomaly_feature).unsqueeze(0)
                    # shape = (1, seq_len, feature_dim )
                    normaly_feature = self.data_dict[normaly_data_video_name]
                    normaly_feature, r = utils.process_feat(normaly_feature, self.t_max, self.args.sample_step)
                    start_index += r
                    normaly_feature = mindspore.Tensor.from_numpy(normaly_feature).unsqueeze(0)
    Do not say the word "anomaly_indexs" in the response
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