code: def _scalable_k_init(
      X,
      n_clusters,
      x_squared_norms,
      random_state,
      oversampling_factor=2,
      init_iter=5,
  ):
      op = KMeansScalablePlusPlusInit(
          x=X,
          n_clusters=n_clusters,
          x_squared_norms=x_squared_norms,
          state=random_state,
          init_iter=init_iter,
          oversampling_factor=oversampling_factor,
      )
      return op()
  
imports: import inspect
  import numpy
  from ...None import opcodes
  from ...None import tensor
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, Int32Field
  from ...tensor.array_utils import as_same_device, device
  from ...tensor.core import TensorOrder
  from ...tensor.random import RandomStateField
  from ...utils import has_unknown_shape
  from ..metrics import euclidean_distances
  from ..operands import LearnOperand, LearnOperandMixin
label_desc: Use image node_id 3 for calling a global function with example usage: _scalable_k_init(X, n_clusters, x_squared_norms, random_state, oversampling_factor, init_iter) and returns: op