class_docstr: Performs element-wise division of two lists.
  
  Description:
      Given a list of values X and a list of values
      Y, determine the quotient of each value in X
      divided by its corresponding value in Y.
  
  Args:
      commutative (bool): determines if Deep Feature Synthesis should
          generate both x / y and y / x, or just one. If True, there is
          no guarantee which of the two will be generated. Defaults to False.
  
  Examples:
      >>> divide_numeric = DivideNumeric()
      >>> divide_numeric([2.0, 1.0, 2.0], [1.0, 2.0, 2.0]).tolist()
      [2.0, 0.5, 1.0]
code: def generate_name(self, base_feature_names):
      return "%s / %s" % (base_feature_names[0], base_feature_names[1])
  
imports: from woodwork.column_schema import ColumnSchema
  from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
  from featuretools.utils.gen_utils import Library
label_desc: Use image node_id 3 for calling the DivideNumeric obj's underlying member method code with example usage: obj.generate_name(base_feature_names) and returns: unknown