code: def test_span_f1_can_build_from_params(self, device: str):
      params = Params(
          {
              "type": "span_f1",
              "tag_namespace": "tags",
              "ignore_classes": ["V"],
          }
      )
      metric = Metric.from_params(params=params, vocabulary=self.vocab)
      assert metric._ignore_classes == ["V"]  # type: ignore
      assert (
          metric._label_vocabulary
          == self.vocab.get_index_to_token_vocabulary(  # type: ignore
              "tags"
          )
      )
  
file_path: allennlp/tests/training/metrics/span_based_f1_measure_test.py
imports: import torch
  from torch.testing import assert_allclose
  import pytest
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.testing import AllenNlpTestCase, multi_device
  from allennlp.data import Vocabulary
  from allennlp.training.metrics import SpanBasedF1Measure, Metric
label_desc: Use image node_id 5 for calling the SpanBasedF1Test obj's underlying member method code with example usage: obj.test_span_f1_can_build_from_params(device) without return types