code: def convert_sparse_to_ijv(sparse, validate=True):
      if validate:
          _validate_sparse(sparse)
  
      return np.column_stack(
          [
              sparse[axis]
              for axis in (
                  SPARSE_FIELD.y.value,
                  SPARSE_FIELD.x.value,
                  SPARSE_FIELD.label.value,
              )
          ]
      )
  
imports: from enum import Enum
  import numpy
  from numpy.random.mtrand import RandomState
  import scipy.sparse
  import centrosome.index
label_desc: Use image node_id 18 for calling a global function with example usage: convert_sparse_to_ijv(sparse, validate) and returns: np