code: def _execute_with_mmap(cls, ctx, op):  # pragma: no cover
      if op.create_mmap_file:
          path = tempfile.mkstemp(prefix=op.file_prefix, suffix=".dat")[
              1
          ]
          np.memmap(
              path, dtype=op.dtype, mode="w+", shape=op.total_shape
          )
          ctx[op.outputs[0].key] = path
      else:
          path = ctx[op.inputs[0].key]
          array = ctx[op.inputs[1].key]
          fp = np.memmap(
              path, dtype=op.dtype, mode="r+", shape=op.total_shape
          )
          fp[op.partition_slice] = array
          ctx[op.outputs[0].key] = path
  
imports: import itertools
  import operator
  import tempfile
  from collections.abc import Iterable
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import AnyField, BoolField, StringField, TupleField, SliceField
  from ..array_utils import device, as_same_device
  from ..utils import validate_axis, unify_chunks
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorOperandMixin
  from ..indexing.slice import TensorSlice
label_desc: Use image node_id 13 for calling the TensorConcatenate obj's underlying member method code with example usage: obj._execute_with_mmap(cls, ctx, op) without return types