code: def _execute_map(cls, ctx, op: "KMeansScalablePlusPlusInit"):
      distances = ctx[op.inputs[0].key]
      min_distance_ids = np.argmin(distances, axis=1)
      min_distances = distances[range(len(distances)), min_distance_ids]
      ctx[op.outputs[0].key] = (min_distances, min_distance_ids)
  
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 11 for calling the KMeansScalablePlusPlusInit obj's underlying member method code with example usage: obj._execute_map(cls, ctx, op) without return types