class_docstr: Performs element-wise logical OR of two lists.
  
  Description:
      Given a list of booleans X and a list of booleans Y,
      determine whether each value in X is `True`, or
      whether its corresponding value in Y is `True`.
  
  Examples:
      >>> _or = Or()
      >>> _or([False, True, False], [True, True, False]).tolist()
      [True, True, False]
code: def get_function(self):
      return np.logical_or
  
file_path: featuretools/featuretools/primitives/standard/transform/binary/or_primitive.py
imports: import numpy
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Boolean, BooleanNullable
  from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
  from featuretools.utils.gen_utils import Library
label_desc: Use image node_id 1 for calling the Or obj's underlying member method code with example usage: obj.get_function() and returns: np