code: def setUp(self):
      self.dates = date_range("2014-01-01", periods=5, freq="D")
      self.assets = Int64Index(range(5))
      self.f = F()
      self.g = G()
      self.h = H()
      self.d = DateFactor()
      self.fake_raw_data = {
          self.f: full((5, 5), 3, float),
          self.g: full((5, 5), 2, float),
          self.h: full((5, 5), 1, float),
          self.d: full((5, 5), 0, dtype="datetime64[ns]"),
      }
      self.mask = DataFrame(True, index=self.dates, columns=self.assets)
  
imports: from itertools import permutations
  from operator import add, ge, gt, le, lt, methodcaller, mul, ne, sub
  from string import ascii_uppercase
  from unittest import TestCase
  import numpy
  from numpy import arange, array, eye, float64, full, isnan, zeros
  from pandas import DataFrame, date_range, Int64Index
  from catalyst.pipeline import Factor, Filter
  from catalyst.pipeline.expression import NumericalExpression, NUMEXPR_MATH_FUNCS
  from catalyst.testing import check_allclose
  from catalyst.utils.numpy_utils import datetime64ns_dtype, float64_dtype
label_desc: Use image node_id 1 for calling the NumericalExpressionTestCase obj's underlying member method code with example usage: obj.setUp() without return types