code: def _compute_exact_match_score(
      prediction: str, ground_truth: str
  ) -> Tensor:
      """Compute Exact Match for two sentences."""
      return tensor(
          int(
              _normalize_text(prediction)
              == _normalize_text(ground_truth)
          )
      )
  
file_path: torchmetrics/src/torchmetrics/functional/text/squad.py
imports: import re
  import string
  from collections import Counter
  from typing import Any, Callable, Dict, List, Tuple, Union
  from torch import Tensor, tensor
  from torchmetrics.utilities import rank_zero_warn
label_desc: Use image node_id 4 for calling a global function with example usage: _compute_exact_match_score(prediction, ground_truth) and returns: tensor