remove superfluous chi tests

Author: tvwenger

pymc_experimental/tests/distributions/test_continuous.py

@@ -173,31 +173,3 @@ def test_logcdf(self):
             {"nu": Rplus},
             lambda value, nu: sp.chi.logcdf(value, df=nu),
         )
-
-    """
-    @pytest.mark.parametrize(
-        "nu, size, expected",
-        [
-            (1, None, 1),
-            (1, 5, np.full(5, 1)),
-            (np.arange(1, 6), None, np.arange(1, 6)),
-        ],
-    )
-    def test_chi_moment(self, nu, size, expected):
-        with pm.Model() as model:
-            Chi("x", nu=nu, size=size)
-        assert_moment_is_expected(model, expected)
-    """
-
-
-class TestChi(BaseTestDistributionRandom):
-    pymc_dist = Chi
-    pymc_dist_params = {"nu": 3.0}
-    expected_rv_op_params = {"nu": 3.0}
-    reference_dist_params = {"df": 3.0}
-    reference_dist = seeded_scipy_distribution_builder("chi")
-    tests_to_run = [
-        "check_pymc_params_match_rv_op",
-        "check_pymc_draws_match_reference",
-        "check_rv_size",
-    ]