class_docstr: Base class for LIT models.
docstr: Return true if this model is compatible with the dataset spec.
docstr_tok: ["Return","true","if","this","model","is","compatible","with","the","dataset","spec","."]
code: def is_compatible_with_dataset(
      self, dataset: lit_dataset.Dataset
  ) -> bool:
      """Return true if this model is compatible with the dataset spec."""
      dataset_spec = dataset.spec()
      for key, field_spec in self.input_spec().items():
          if key in dataset_spec:
              # If the field is in the dataset, make sure it's compatible.
              if not dataset_spec[key].is_compatible(field_spec):
                  return False
          else:
              # If the field isn't in the dataset, only allow if the model marks as
              # optional.
              if field_spec.required:
                  return False
  
      return True
  
imports: import abc
  from collections.abc import Iterable, Iterator
  import inspect
  import itertools
  import multiprocessing
  from typing import Optional, Union
  from absl import logging
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import utils
  import numpy
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj.is_compatible_with_dataset(dataset) and returns: True, False, False