class_docstr: A test model for the interpreter that uses 'TEST_DATA' as model output.
code: def input_spec(self) -> lit_types.Spec:
      return {"x": lit_types.Scalar()}
  
imports: from typing import NamedTuple
  from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import curves
  from lit_nlp.lib import caching
label_desc: Use image node_id 1 for calling the _StaticTestModel obj's underlying member method code with example usage: obj.input_spec() and returns: dict