code: def _combine_chunks(
      cls,
      to_combine: List[ChunkType],
      op_type: Type,
      v: Any,
      stage: OperandStage,
      chunk_index: Tuple[int],
  ):
      from ..merge import TensorStack
  
      dtype = np.dtype(np.intp)
      v_shape = v.shape if hasattr(v, "shape") else ()
      combine_op = TensorStack(axis=0, dtype=dtype)
      combine_chunk = combine_op.new_chunk(to_combine, shape=v_shape)
      chunk_op = op_type(dtype=dtype, axis=(0,), stage=stage)
      return chunk_op.new_chunk(
          [combine_chunk],
          shape=v_shape,
          index=chunk_index,
          order=TensorOrder.C_ORDER,
      )
  
imports: import itertools
  from typing import Any, List, Tuple, Type
  import numpy
  from ...None import opcodes
  from ...core import TILEABLE_TYPE
  from ...core.operand import OperandStage
  from ...serialization.serializables import StringField, AnyField, Int64Field, Int32Field
  from ...typing import TileableType, ChunkType
  from ...config import options
  from ...utils import has_unknown_shape
  from ..operands import TensorOperand, TensorOperandMixin
  from ..core import TENSOR_TYPE, TensorOrder
  from ..datasource.array import tensor
  from ..array_utils import as_same_device, device
label_desc: Use image node_id 4 for calling the TensorSearchsorted obj's underlying member method code with example usage: obj._combine_chunks(cls, to_combine, op_type, v, stage, chunk_index) and returns: chunk_op