code: def _correa_entropy(X, m):
      """Compute the Correa estimator as described in [6]."""
      # No equation number, but referred to as HC_mn
      n = X.shape[-1]
      X = _pad_along_last_axis(X, m)
  
      i = np.arange(1, n + 1)
      dj = np.arange(-m, m + 1)[:, None]
      j = i + dj
      j0 = j + m - 1  # 0-indexed version of j
  
      Xibar = np.mean(X[..., j0], axis=-2, keepdims=True)
      difference = X[..., j0] - Xibar
      num = np.sum(difference * dj, axis=-2)  # dj is d-i
      den = n * np.sum(difference**2, axis=-2)
      return -np.mean(np.log(num / den), axis=-1)
  
file_path: catboost/contrib/python/scipy/py3/scipy/stats/_entropy.py
imports: from __future__ import annotations
  import math
  import numpy
  from scipy import special
  from typing import Optional, Union
label_desc: Use image node_id 7 for calling a global function with example usage: _correa_entropy(X, m) and returns: unknown