code: def _auto_select_init(
      has_classes, n_features, n_samples, n_components, n_classes
  ):
      if has_classes and n_components <= min(n_features, n_classes - 1):
          init = "lda"
      elif n_components < min(n_features, n_samples):
          init = "pca"
      else:
          init = "identity"
      return init
  
imports: import numpy
  from numpy.linalg import LinAlgError
  from sklearn.datasets import make_spd_matrix
  from sklearn.decomposition import PCA
  from sklearn.utils import check_array
  from sklearn.utils.validation import check_X_y, check_random_state
  from .exceptions import PreprocessorError, NonPSDError
  from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
  from scipy.linalg import pinvh, eigh
  import sys
  import time
  import warnings
label_desc: Use image node_id 16 for calling a global function with example usage: _auto_select_init(has_classes, n_features, n_samples, n_components, n_classes) and returns: init