code: def condition(self):
      return self._condition
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...serialization.serializables import KeyField
  from ...utils import has_unknown_shape
  from ..utils import broadcast_shape, unify_chunks
  from ..array_utils import as_same_device, device
  from ..core import TENSOR_TYPE
  from ..operands import TensorOperand, TensorOperandMixin
  from ..datasource import tensor
  from .broadcast_to import broadcast_to
label_desc: Use image node_id 1 for calling the TensorWhere obj's underlying member method code with example usage: obj.condition() and returns: self