code: def estimate_gaussian_entropy(X: np.ndarray) -> float:
      """Entropy with respect to standardized variables."""
      X = shape_into_2d(X)
  
      if X.shape[1] > 1:
          return 0.5 * np.log(
              (2 * np.pi * np.e) ** X.shape[1] * estimate_variance(X)
          )
      else:
          return 0.5 * np.log(2 * np.pi * np.e * estimate_variance(X))
  
file_path: dowhy/dowhy/gcm/uncertainty.py
imports: import numpy
  from numpy.linalg import det
  from scipy.special import digamma
  from scipy.stats import entropy
  from sklearn.neighbors import NearestNeighbors
  from dowhy.gcm.constant import EPS
  from dowhy.gcm.util.general import shape_into_2d
label_desc: Use image node_id 3 for calling a global function with example usage: estimate_gaussian_entropy(X) and returns: unknown, unknown