Method test_run_binary

pandas/tests/test_expressions.py:167–190

tests solely that the result is the same whether or not numexpr is enabled. Need to test whether the function does the correct thing elsewhere.

(self, request, fixture, flex, comparison_op, monkeypatch)

    )
    @pytest.mark.parametrize("flex", [True, False])
    def test_run_binary(self, request, fixture, flex, comparison_op, monkeypatch):
        """
        tests solely that the result is the same whether or not numexpr is
        enabled.  Need to test whether the function does the correct thing
        elsewhere.
        """
        df = request.getfixturevalue(fixture)
        arith = comparison_op.__name__
        with option_context("compute.use_numexpr", False):
            other = df + 1

        with monkeypatch.context() as m:
            m.setattr(expr, "_MIN_ELEMENTS", 0)
            expr.set_test_mode(True)

            result, expected = self.call_op(df, other, flex, arith)

            used_numexpr = expr.get_test_result()
            assert used_numexpr, "Did not use numexpr as expected."
            tm.assert_equal(expected, result)

            for i in range(len(df.columns)):
                binary_comp = other.iloc[:, i] + 1
                self.call_op(df.iloc[:, i], binary_comp, flex, "add")

    def test_invalid(self):
        array = np.random.default_rng(2).standard_normal(1_000_001)