code: def _get_default_configs_for_testing() -> ml_collections.ConfigDict:
      return ml_collections.ConfigDict(
          dict(
              in_dim=3,
              feature_dim=128,
              kernel_size=1,
              sequence_length=2048,
          )
      )
  
imports: import functools
  from typing import Any, Dict, Optional, Tuple
  import flax.linen
  from flax.training import common_utils
  from immutabledict import immutabledict
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import base_model
  from scenic.model_lib.base_models import model_utils
  from scenic.model_lib.base_models.segmentation_model import SegmentationModel
  from scenic.projects.pointcloud.models import PointCloudTransformerEncoder
label_desc: Use image node_id 3 for calling a global function with example usage: _get_default_configs_for_testing() and returns: ml_collections