Less strict test, don't parallelise tests (#4265)

* make test less strict

* no parallel testing

* dont parallelise arviz tests either

.github/workflows/arviz_compat.yml

@@ -42,4 +42,4 @@ jobs:
           conda activate testenv
           conda remove arviz -y
           pip install git+git://github.com/arviz-devs/arviz.git
-          python -m pytest -v --cov=pymc3 --cov-report=xml --cov-report term --durations=50 $TEST_SUBSET -n auto
+          python -m pytest -vv --cov=pymc3 --cov-report=xml --cov-report term --durations=50 $TEST_SUBSET

.github/workflows/pytest.yml

@@ -80,7 +80,7 @@ jobs:
           use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly!
       - run: |
           conda activate testenv
-          python -m pytest -v --cov=pymc3 --cov-report=xml --cov-report term --durations=50 $TEST_SUBSET -n auto
+          python -m pytest -vv --cov=pymc3 --cov-report=xml --cov-report term --durations=50 $TEST_SUBSET
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v1
         with:

environment-dev.yml

@@ -24,7 +24,6 @@ dependencies:
   - pre-commit>=2.8.0
   - pytest-cov>=2.5
   - pytest>=3.0
-  - pytest-xdist
   - recommonmark>=0.4
   - seaborn>=0.8
   - sphinx-autobuild>=0.7

pymc3/tests/test_gp.py

@@ -1143,8 +1143,8 @@ def testMarginalKronvsMarginalpredict(self):
             f = kron_gp.marginal_likelihood("f", self.Xs, self.y, sigma=self.sigma, shape=self.N)
             p = kron_gp.conditional("p", self.Xnew)
             mu, cov = kron_gp.predict(self.Xnew)
-        npt.assert_allclose(mu, self.mu, atol=0, rtol=1e-2)
-        npt.assert_allclose(cov, self.cov, atol=0, rtol=1e-2)
+        npt.assert_allclose(mu, self.mu, atol=1e-5, rtol=1e-2)
+        npt.assert_allclose(cov, self.cov, atol=1e-5, rtol=1e-2)
 
     def testMarginalKronvsMarginal(self):
         with pm.Model() as kron_model: