code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      if isinstance(self.a, (TENSOR_TYPE, TENSOR_CHUNK_TYPE)):
          self.a = self._inputs[0]
      if isinstance(self.p, (TENSOR_TYPE, TENSOR_CHUNK_TYPE)):
          self.p = self._inputs[-1]
  
imports: from numbers import Integral
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import recursive_tile
  from ...serialization.serializables import FieldTypes, AnyField, KeyField, BoolField, TupleField
  from ...utils import has_unknown_shape, ceildiv
  from ..operands import TensorOperandMixin
  from ..core import TENSOR_TYPE, TENSOR_CHUNK_TYPE, TensorOrder
  from ..datasource import arange, array
  from ..utils import decide_chunk_sizes, normalize_chunk_sizes, gen_random_seeds
  from ..array_utils import as_same_device, device
  from .core import TensorRandomOperand, RandomState
label_desc: Use image node_id 1 for calling the TensorChoice obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types