class_docstr: Performs element-wise multiplication of a numeric list with a boolean list.
  
  Description:
      Given a list of numeric values X and a list of
      boolean values Y, return the values in X where
      the corresponding value in Y is True.
  
  Examples:
      >>> import pandas as pd
      >>> multiply_numeric_boolean = MultiplyNumericBoolean()
      >>> multiply_numeric_boolean([2, 1, 2], [True, True, False]).tolist()
      [2, 1, 0]
      >>> multiply_numeric_boolean([2, None, None], [True, True, False]).astype("float64").tolist()
      [2.0, nan, nan]
      >>> multiply_numeric_boolean([2, 1, 2], pd.Series([True, True, pd.NA], dtype="boolean")).tolist()
      [2, 1, <NA>]
code: def get_function(self):
      def multiply_numeric_boolean(ser1, ser2):
          if pdtypes.is_bool_dtype(ser1):
              bools = ser1
              vals = ser2
          else:
              bools = ser2
              vals = ser1
          result = vals * bools.astype("Int64")
          return result
  
      return multiply_numeric_boolean
  
file_path: featuretools/featuretools/primitives/standard/transform/binary/multiply_numeric_boolean.py
imports: import pandas.api.types
  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 MultiplyNumericBoolean obj's underlying member method code with example usage: obj.get_function() and returns: multiply_numeric_boolean, result