class_docstr: Dummy-valued seq2seq salience, for testing.
class_docstr_tok: ["Dummy-valued","seq2seq","salience",",","for","testing","."]
code: def find_fields(self, model: lit_model.Model) -> dict[str, list[str]]:
      src_fields = utils.find_spec_keys(
          model.input_spec(), types.TextSegment
      )
      gen_fields = utils.find_spec_keys(
          model.output_spec(), _SUPPORTED_OUTPUTS
      )
      return {f: src_fields for f in gen_fields}
  
file_path: lit/lit_nlp/components/sequence_salience.py
imports: from typing import Optional
  import Levenshtein
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import dtypes
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import utils
  import numpy
label_desc: Use image node_id 1 for calling the DummySequenceSalience obj's underlying member method code with example usage: obj.find_fields(model) and returns: unknown