code: def get_input_spec_for_pretraining(
      dataset_meta_data: Mapping[str, Any],
      dataset_configs: ml_collections.ConfigDict,
      train_: bool,
      text_dataset_meta_data: Mapping[str, Any],
  ) -> tuple[
      ArgSpec, ArgSpec, ArgSpec, ArgSpec, ArgSpec, ArgSpec, ArgSpec
  ]:
      """Returns the input spec."""
      input_spec = get_input_spec(
          dataset_meta_data=dataset_meta_data,
          dataset_configs=dataset_configs,
          train=train_,
      )
      text_input_spec = text_dataset_meta_data["input_spec"]
      return input_spec + (
          text_input_spec["input_word_ids"],
          text_input_spec["input_type_ids"],
          text_input_spec["input_mask"],
          text_input_spec["masked_lm_positions"],
      )
  
imports: from collections.abc import Callable
  from collections.abc import Mapping
  from collections.abc import MutableMapping
  import functools
  from typing import Any
  from typing import Optional
  from absl import logging
  from clu import metric_writers
  from clu import periodic_actions
  from clu import platform
  from flax import jax_utils
  from flax.training import checkpoints
  import jax
  import jax.numpy
  import ml_collections
  import optax
  from scenic.dataset_lib import dataset_utils
  from scenic.projects.baselines.bert import bert_base_model
  from scenic.projects.lang4video import util
  from scenic.projects.lang4video.model.image_text_model import ImageTextModel
  from scenic.projects.lang4video.trainer import optimizers
  from scenic.projects.lang4video.trainer.train_utils import ArgSpec
  from scenic.projects.lang4video.trainer.train_utils import axis_name_exists
  from scenic.projects.lang4video.trainer.train_utils import clip_grads
  from scenic.projects.lang4video.trainer.train_utils import compute_mask
  from scenic.projects.lang4video.trainer.train_utils import get_epoch_steps
  from scenic.projects.lang4video.trainer.train_utils import get_input_spec
  from scenic.projects.lang4video.trainer.train_utils import init_encoder
  from scenic.projects.lang4video.trainer.train_utils import is_video_input
  from scenic.projects.lang4video.trainer.train_utils import NUM_DEVICES_AXIS_NAME
  from scenic.train_lib import lr_schedules
  from scenic.train_lib import pretrain_utils
  from scenic.train_lib import train_utils
label_desc: Use image node_id 4 for calling a global function with example usage: get_input_spec_for_pretraining(dataset_meta_data, dataset_configs, train_, text_dataset_meta_data) and returns: unknown