code: def on_input_modify(self, new_input):
      if self.create_view:
          new_op = self.copy().reset_key()
          new_inputs = [new_input] + self.inputs[1:]
          return new_op.new_tensor(
              new_inputs, shape=self.outputs[0].shape
          )
  
imports: from numbers import Integral
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, ListField, TupleField, Int32Field
  from ..core import TENSOR_TYPE, TensorOrder
  from ..utils import split_indexes_into_chunks, calc_pos, filter_inputs
  from ..operands import TensorHasInput, TensorOperandMixin, TensorMapReduceOperand
  from ..array_utils import get_array_module
  from .core import process_index, calc_shape
  from .index_lib import TensorIndexesHandler
label_desc: Use image node_id 5 for calling the TensorIndex obj's underlying member method code with example usage: obj.on_input_modify(new_input) and returns: new_op