code: def check_output(self, expr, expected):
      result = expr._compute(
          [self.fake_raw_data[input_] for input_ in expr.inputs],
          self.mask.index,
          self.mask.columns,
          self.mask.values,
      )
      check_allclose(result, expected)
  
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 2 for calling the NumericalExpressionTestCase obj's underlying member method code with example usage: obj.check_output(expr, expected) without return types