code: def test_alternative_file_formats(self):
      @Predictor.register("classification-csv")
      class CsvPredictor(TextClassifierPredictor):
          """same as classification predictor but using CSV inputs and outputs"""
  
          def load_line(self, line: str) -> JsonDict:
              reader = csv.reader([line])
              sentence, label = next(reader)
              return {"sentence": sentence, "label": label}
  
          def dump_line(self, outputs: JsonDict) -> str:
              output = io.StringIO()
              writer = csv.writer(output)
              row = [outputs["label"], *outputs["probs"]]
  
              writer.writerow(row)
              return output.getvalue()
  
      with open(self.infile, "w") as f:
          writer = csv.writer(f)
          writer.writerow(
              ["the seahawks won the super bowl in 2016", "pos"]
          )
          writer.writerow(
              ["the mariners won the super bowl in 2037", "neg"]
          )
  
      sys.argv = [
          "__main__.py",  # executable
          "predict",  # command
          str(self.classifier_model_path),
          str(self.infile),  # input_file
          "--output-file",
          str(self.outfile),
          "--predictor",
          "classification-csv",
          "--silent",
      ]
  
      main()
      assert os.path.exists(self.outfile)
  
      with open(self.outfile) as f:
          reader = csv.reader(f)
          results = [row for row in reader]
  
      assert len(results) == 2
      for row in results:
          assert len(row) == 3  # label and 2 class probabilities
          label, *probs = row
          for prob in probs:
              assert 0 <= float(prob) <= 1
          assert label != ""
  
      shutil.rmtree(self.tempdir)
  
imports: import argparse
  import csv
  import io
  import json
  import os
  import pathlib
  import shutil
  import sys
  import tempfile
  import pytest
  from allennlp.commands import main
  from allennlp.commands.predict import Predict
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.util import JsonDict, push_python_path
  from allennlp.data.dataset_readers import DatasetReader, TextClassificationJsonReader
  from allennlp.models import Model
  from allennlp.models.archival import load_archive
  from allennlp.predictors import Predictor, TextClassifierPredictor
label_desc: Use image node_id 12 for calling the TestPredict obj's underlying member method code with example usage: obj.test_alternative_file_formats() and returns: dict, output