code: def test_rerank_hypotheses_isometric(
      source, hypotheses, scores, reference, expected_output, metric
  ):
      reranker = rerank.Reranker(
          metric=metric, isometric_alpha=0.5, return_score=False
      )
      hypotheses = {
          "sentence_id": 0,
          "text": source,
          "translation": "",
          "scores": scores,
          "translations": hypotheses,
      }
      reranked_hypotheses = reranker.rerank(hypotheses, reference)
      assert reranked_hypotheses["translations"] == expected_output
  
imports: import numpy
  import pytest
  import sockeye.rerank
label_desc: Use image node_id 2 for calling a global function with example usage: test_rerank_hypotheses_isometric(source, hypotheses, scores, reference, expected_output, metric) without return types