code: def __init__(
      self,
      checks=None,
      checks_input=None,
      x_shape=None,
      reduce_sizes=None,
      start_positions=None,
      **kw,
  ):
      super().__init__(
          _checks=checks,
          _checks_input=checks_input,
          _x_shape=x_shape,
          _reduce_sizes=reduce_sizes,
          _start_positions=start_positions,
          **kw,
      )
  
imports: import itertools
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.operand import OperandStage
  from ....serialization.serializables import FieldTypes, KeyField, BoolField, TupleField
  from ....config import options
  from ....utils import has_unknown_shape, require_module
  from ...core import TensorOrder
  from ...operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ...datasource import ascontiguousarray, array, zeros
  from ...arithmetic import equal
  from ...utils import decide_chunk_sizes
  from ...array_utils import as_same_device, device, cp
label_desc: Use image node_id 1 to create a new TensorSquareform object from inherited base classes: TensorMapReduceOperand, TensorOperandMixin with example: obj = TensorSquareform(checks, checks_input, x_shape, reduce_sizes, start_positions)