code: def test_compare_to_str_array(self, missing_value):
      strs = self.strs
      shape = strs.shape
      arr = LabelArray(strs, missing_value=missing_value)
  
      if missing_value is None:
          # As of numpy 1.9.2, object array != None returns just False
          # instead of an array, with a deprecation warning saying the
          # behavior will change in the future.  Work around that by just
          # using the ufunc.
          notmissing = np.not_equal(strs, missing_value)
      else:
          notmissing = strs != missing_value
  
      check_arrays(arr.not_missing(), notmissing)
      check_arrays(arr.is_missing(), ~notmissing)
  
      # The arrays are equal everywhere, but comparisons against the
      # missing_value should always produce False
      check_arrays(strs == arr, notmissing)
      check_arrays(strs != arr, np.zeros_like(strs, dtype=bool))
  
      def broadcastable_row(value, dtype):
          return np.full((shape[0], 1), value, dtype=strs.dtype)
  
      def broadcastable_col(value, dtype):
          return np.full((1, shape[1]), value, dtype=strs.dtype)
  
      # Test comparison between arr and a like-shap 2D array, a column
      # vector, and a row vector.
      for comparator, dtype, value in product(
          (eq, ne), (bytes, unicode, object), set(self.rowvalues)
      ):
          check_arrays(
              comparator(arr, np.full_like(strs, value)),
              comparator(strs, value) & notmissing,
          )
          check_arrays(
              comparator(arr, broadcastable_row(value, dtype=dtype)),
              comparator(strs, value) & notmissing,
          )
          check_arrays(
              comparator(arr, broadcastable_col(value, dtype=dtype)),
              comparator(strs, value) & notmissing,
          )
  
imports: from itertools import product
  from operator import eq, ne
  import warnings
  import numpy
  from toolz import take
  from zipline.lib.labelarray import LabelArray
  from zipline.testing import check_arrays, parameter_space, ZiplineTestCase
  from zipline.testing.predicates import assert_equal
  from zipline.utils.compat import unicode
label_desc: Use image node_id 8 for calling the LabelArrayTestCase obj's underlying member method code with example usage: obj.test_compare_to_str_array(missing_value) and returns: np, np