code: def __call__(self, X, force="no", chunk_size=None):
      s = X.shape
  
      if force.lower() == "tomatrix":
          if len(s) != 1:
              raise ValueError(
                  "Forcing 'tomatrix' but input X is not a distance vector."
              )
      elif force.lower() == "tovector":
          if len(s) != 2:
              raise ValueError(
                  "Forcing 'tovector' but input X is not a distance matrix."
              )
  
      # X = squareform(v)
      if len(s) == 1:
          if s[0] == 0:
              return zeros((1, 1), dtype=X.dtype)
  
          # Grab the closest value to the square root of the number
          # of elements times 2 to see if the number of elements
          # is indeed a binomial coefficient.
          d = int(np.ceil(np.sqrt(s[0] * 2)))
  
          # Check that v is of valid dimensions.
          if d * (d - 1) != s[0] * 2:
              raise ValueError(
                  "Incompatible vector size. It must be a binomial "
                  "coefficient n choose 2 for some integer n >= 2."
              )
  
          shape = (d, d)
      elif len(s) == 2:
          if s[0] != s[1]:
              raise ValueError("The matrix argument must be square.")
  
          # One-side of the dimensions is set here.
          d = s[0]
  
          if d <= 1:
              return array([], dtype=X.dtype)
  
          shape = ((d * (d - 1)) // 2,)
      else:
          raise ValueError(
              (
                  "The first argument must be one or two dimensional "
                  "tensor. A %d-dimensional tensor is not "
                  "permitted"
              )
              % len(s)
          )
  
      return self.new_tensor(
          [X],
          shape=shape,
          order=TensorOrder.C_ORDER,
          raw_chunk_size=chunk_size,
      )
  
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 9 for calling the TensorSquareform obj's underlying member method code with example usage: obj.__call__(X, force, chunk_size) and returns: self, zeros, array