code: def check_axes(axes):
      axes = np.array(axes)
      all_unique = np.all(np.unique(axes, return_counts=True)[1] == 1)
      return all_unique and np.all((axes >= 0) * (axes < 7))
  
file_path: neoml/NeoML/Python/neoml/Utils.py
imports: import numpy
  from scipy.sparse import csr_matrix, issparse
  from neoml.Dnn.Dnn import Layer
label_desc: Use image node_id 5 for calling a global function with example usage: check_axes(axes) and returns: unknown