code: def test_eq(self, compval):
      class C(Classifier):
          dtype = int64_dtype
          missing_value = -1
          inputs = ()
          window_length = 0
  
      c = C()
  
      # There's no significance to the values here other than that they
      # contain a mix of the comparison value and other values.
      data = np.array(
          [[-1, 1, 0, 2], [3, 0, 1, 0], [-5, 0, -1, 0], [-3, 1, 2, 2]],
          dtype=int64_dtype,
      )
  
      self.check_terms(
          terms={
              "eq": c.eq(compval),
          },
          expected={
              "eq": (data == compval),
          },
          initial_workspace={c: data},
          mask=self.build_mask(self.ones_mask(shape=data.shape)),
      )
  
imports: from functools import reduce
  import operator
  import numpy
  import pandas
  from zipline.lib.labelarray import LabelArray
  from zipline.pipeline import Classifier
  from zipline.pipeline.data.testing import TestingDataSet
  from zipline.pipeline.expression import methods_to_ops
  from zipline.testing import parameter_space
  from zipline.testing.fixtures import ZiplineTestCase
  from zipline.testing.predicates import assert_equal
  from zipline.utils.numpy_utils import categorical_dtype, int64_dtype
  from .base import BaseUSEquityPipelineTestCase
label_desc: Use image node_id 3 for calling the ClassifierTestCase obj's underlying member method code with example usage: obj.test_eq(compval) without return types