class_docstr: Implements lit.Model interface for testing.
  
  This class reflects the input in the prediction for simple testing.
class_docstr_tok: ["Implements","lit.Model","interface","for","testing",".","This","class","reflects","the","input","in","the","prediction","for","simple","testing","."]
code: def input_spec(self):
      return {"val": lit_types.Scalar()}
  
imports: from collections.abc import Iterable, Iterator
  from lit_nlp.api import model
  from lit_nlp.api import types
  import numpy
  import numpy.testing
label_desc: Use image node_id 2 for calling the IdentityRegressionModelForTesting obj's underlying member method code with example usage: obj.input_spec() and returns: dict