code: def concat_tileable_chunks(cls, tileable):
      from .merge.concatenate import TensorConcatenate
  
      tensor = tileable
      assert not tensor.is_coarse()
  
      op = TensorConcatenate(dtype=tensor.dtype)
      chunk = TensorConcatenate(dtype=tensor.dtype).new_chunk(
          tensor.chunks, shape=tensor.shape, index=(0,) * tileable.ndim
      )
      return op.new_tensor(
          [tensor],
          tensor.shape,
          chunks=[chunk],
          nsplits=tuple((s,) for s in tensor.shape),
      )
  
imports: from ..core import OutputType
  from ..core.operand import Operand, TileableOperandMixin, HasInput, ShuffleProxy, MapReduceOperand, Fuse
  from ..serialization.serializables import DataTypeField
  from ..utils import calc_nsplits
label_desc: Use image node_id 3 for calling the TensorOperandMixin obj's underlying member method code with example usage: obj.concat_tileable_chunks(cls, tileable) and returns: op