Distribute test_posteriors into step_methods

Author: Armavica

.github/workflows/tests.yml

@@ -150,7 +150,7 @@ jobs:
           - pymc/tests/test_variational_inference.py pymc/tests/test_initial_point.py
           - pymc/tests/test_model.py pymc/tests/test_step.py
           - pymc/tests/gp/test_cov.py pymc/tests/gp/test_gp.py pymc/tests/gp/test_mean.py pymc/tests/gp/test_util.py pymc/tests/ode/test_ode.py pymc/tests/ode/test_utils.py pymc/tests/test_smc.py pymc/tests/test_parallel_sampling.py
-          - pymc/tests/test_sampling.py pymc/tests/test_posteriors.py
+          - pymc/tests/test_sampling.py pymc/tests/step_methods/test_metropolis.py pymc/tests/step_methods/test_slicer.py pymc/tests/step_methods/hmc/test_nuts.py
 
       fail-fast: false
     runs-on: ${{ matrix.os }}

pymc/tests/test_posteriors.py renamed to pymc/tests/step_methods/hmc/test_nuts.py

@@ -27,26 +27,6 @@ class TestNUTSUniform(sf.NutsFixture, sf.UniformFixture):
     atol = 0.05
 
 
-class TestMetropolisUniform(sf.MetropolisFixture, sf.UniformFixture):
-    n_samples = 50000
-    tune = 10000
-    burn = 0
-    chains = 4
-    min_n_eff = 10000
-    rtol = 0.1
-    atol = 0.05
-
-
-class TestSliceUniform(sf.SliceFixture, sf.UniformFixture):
-    n_samples = 10000
-    tune = 1000
-    burn = 0
-    chains = 4
-    min_n_eff = 5000
-    rtol = 0.1
-    atol = 0.05
-
-
 class TestNUTSUniform2(TestNUTSUniform):
     step_args = {"target_accept": 0.95}
 

pymc/tests/step_methods/test_metropolis.py

@@ -0,0 +1,25 @@
+#   Copyright 2020 The PyMC Developers
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+from pymc.tests import sampler_fixtures as sf
+
+
+class TestMetropolisUniform(sf.MetropolisFixture, sf.UniformFixture):
+    n_samples = 50000
+    tune = 10000
+    burn = 0
+    chains = 4
+    min_n_eff = 10000
+    rtol = 0.1
+    atol = 0.05

pymc/tests/step_methods/test_slicer.py

@@ -0,0 +1,25 @@
+#   Copyright 2020 The PyMC Developers
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+from pymc.tests import sampler_fixtures as sf
+
+
+class TestSliceUniform(sf.SliceFixture, sf.UniformFixture):
+    n_samples = 10000
+    tune = 1000
+    burn = 0
+    chains = 4
+    min_n_eff = 5000
+    rtol = 0.1
+    atol = 0.05