code: def _precision_at_recall(
      precision: Tensor,
      recall: Tensor,
      thresholds: Tensor,
      min_recall: float,
  ) -> Tuple[Tensor, Tensor]:
      try:
          max_precision, _, best_threshold = max(
              (p, r, t)
              for p, r, t in zip(precision, recall, thresholds)
              if r >= min_recall
          )
  
      except ValueError:
          max_precision = torch.tensor(
              0.0, device=precision.device, dtype=precision.dtype
          )
          best_threshold = torch.tensor(0)
  
      if max_precision == 0.0:
          best_threshold = torch.tensor(
              1e6, device=thresholds.device, dtype=thresholds.dtype
          )
  
      return max_precision, best_threshold
  
file_path: torchmetrics/src/torchmetrics/functional/classification/precision_fixed_recall.py
imports: from typing import List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from typing_extensions import Literal
  from torchmetrics.functional.classification.precision_recall_curve import _binary_precision_recall_curve_format, _binary_precision_recall_curve_tensor_validation, _binary_precision_recall_curve_update, _multiclass_precision_recall_curve_format, _multiclass_precision_recall_curve_tensor_validation, _multiclass_precision_recall_curve_update, _multilabel_precision_recall_curve_format, _multilabel_precision_recall_curve_tensor_validation, _multilabel_precision_recall_curve_update
  from torchmetrics.functional.classification.recall_fixed_precision import _binary_recall_at_fixed_precision_arg_validation, _binary_recall_at_fixed_precision_compute, _multiclass_recall_at_fixed_precision_arg_compute, _multiclass_recall_at_fixed_precision_arg_validation, _multilabel_recall_at_fixed_precision_arg_compute, _multilabel_recall_at_fixed_precision_arg_validation
  from torchmetrics.utilities.enums import ClassificationTask
label_desc: Use image node_id 1 for calling a global function with example usage: _precision_at_recall(precision, recall, thresholds, min_recall) and returns: max_precision,  best_threshold