Convert unit/fileformats/cf to pytest

lib/iris/tests/unit/fileformats/cf/test_CFGroup.py

@@ -3,7 +3,6 @@
 # This file is part of Iris and is released under the BSD license.
 # See LICENSE in the root of the repository for full licensing details.
 """Unit tests for the :class:`iris.fileformats.cf.CFGroup` class."""
-
 from unittest.mock import MagicMock
 
 from iris.fileformats.cf import (
@@ -13,14 +12,10 @@
     CFGroup,
 )
 
-# Import iris.tests first so that some things can be initialised before
-# importing anything else.
-import iris.tests as tests
-
 
-class Tests(tests.IrisTest):
+class Tests:
     # TODO: unit tests for existing functionality pre 2021-03-11.
-    def setUp(self):
+    def setup_method(self):
         self.cf_group = CFGroup()
 
     def test_non_data_names(self):
@@ -41,4 +36,4 @@ def test_non_data_names(self):
 
         expected_names = [var.cf_name for var in (aux_var, coord_var, coord_var2)]
         expected = set(expected_names)
-        self.assertEqual(expected, self.cf_group.non_data_variable_names)
+        assert expected == self.cf_group.non_data_variable_names

lib/iris/tests/unit/fileformats/cf/test_CFReader.py

@@ -3,14 +3,10 @@
 # This file is part of Iris and is released under the BSD license.
 # See LICENSE in the root of the repository for full licensing details.
 """Unit tests for the `iris.fileformats.cf.CFReader` class."""
-
-# Import iris.tests first so that some things can be initialised before
-# importing anything else.
-import iris.tests as tests  # isort:skip
-
 from unittest import mock
 
 import numpy as np
+import pytest
 
 from iris.fileformats.cf import CFReader
 
@@ -53,29 +49,31 @@ def netcdf_variable(
     return ncvar
 
 
-class Test_translate__global_attributes(tests.IrisTest):
-    def setUp(self):
+class Test_translate__global_attributes:
+    @pytest.fixture(autouse=True)
+    def _setup(self, mocker):
         ncvar = netcdf_variable("ncvar", "height", np.float64)
         ncattrs = mock.Mock(return_value=["dimensions"])
         getncattr = mock.Mock(return_value="something something_else")
-        self.dataset = mock.Mock(
+        dataset = mock.Mock(
             file_format="NetCDF4",
             variables={"ncvar": ncvar},
             ncattrs=ncattrs,
             getncattr=getncattr,
         )
-
-    def test_create_global_attributes(self):
-        with mock.patch(
+        mocker.patch(
             "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
-            return_value=self.dataset,
-        ):
-            global_attrs = CFReader("dummy").cf_group.global_attributes
-            self.assertEqual(global_attrs["dimensions"], "something something_else")
+            return_value=dataset,
+        )
+
+    def test_create_global_attributes(self, mocker):
+        global_attrs = CFReader("dummy").cf_group.global_attributes
+        assert global_attrs["dimensions"] == "something something_else"
 
 
-class Test_translate__formula_terms(tests.IrisTest):
-    def setUp(self):
+class Test_translate__formula_terms:
+    @pytest.fixture(autouse=True)
+    def _setup(self, mocker):
         self.delta = netcdf_variable("delta", "height", np.float64, bounds="delta_bnds")
         self.delta_bnds = netcdf_variable("delta_bnds", "height bnds", np.float64)
         self.sigma = netcdf_variable("sigma", "height", np.float64, bounds="sigma_bnds")
@@ -124,53 +122,50 @@ def setUp(self):
             file_format="NetCDF4", variables=self.variables, ncattrs=ncattrs
         )
         # Restrict the CFReader functionality to only performing translations.
-        build_patch = mock.patch("iris.fileformats.cf.CFReader._build_cf_groups")
-        reset_patch = mock.patch("iris.fileformats.cf.CFReader._reset")
-        build_patch.start()
-        reset_patch.start()
-        self.addCleanup(build_patch.stop)
-        self.addCleanup(reset_patch.stop)
-
-    def test_create_formula_terms(self):
-        with mock.patch(
+        mocker.patch("iris.fileformats.cf.CFReader._build_cf_groups")
+        mocker.patch("iris.fileformats.cf.CFReader._reset")
+        mocker.patch(
             "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
             return_value=self.dataset,
-        ):
-            cf_group = CFReader("dummy").cf_group
-            self.assertEqual(len(cf_group), len(self.variables))
-            # Check there is a singular data variable.
-            group = cf_group.data_variables
-            self.assertEqual(len(group), 1)
-            self.assertEqual(list(group.keys()), ["temp"])
-            self.assertIs(group["temp"].cf_data, self.temp)
-            # Check there are three coordinates.
-            group = cf_group.coordinates
-            self.assertEqual(len(group), 3)
-            coordinates = ["height", "lat", "lon"]
-            self.assertEqual(set(group.keys()), set(coordinates))
-            for name in coordinates:
-                self.assertIs(group[name].cf_data, getattr(self, name))
-            # Check there are three auxiliary coordinates.
-            group = cf_group.auxiliary_coordinates
-            self.assertEqual(len(group), 3)
-            aux_coordinates = ["delta", "sigma", "orography"]
-            self.assertEqual(set(group.keys()), set(aux_coordinates))
-            for name in aux_coordinates:
-                self.assertIs(group[name].cf_data, getattr(self, name))
-            # Check all the auxiliary coordinates are formula terms.
-            formula_terms = cf_group.formula_terms
-            self.assertEqual(set(group.items()), set(formula_terms.items()))
-            # Check there are three bounds.
-            group = cf_group.bounds
-            self.assertEqual(len(group), 3)
-            bounds = ["height_bnds", "delta_bnds", "sigma_bnds"]
-            self.assertEqual(set(group.keys()), set(bounds))
-            for name in bounds:
-                self.assertEqual(group[name].cf_data, getattr(self, name))
+        )
 
+    def test_create_formula_terms(self, mocker):
+        cf_group = CFReader("dummy").cf_group
+        assert len(cf_group) == len(self.variables)
+        # Check there is a singular data variable.
+        group = cf_group.data_variables
+        assert len(group) == 1
+        assert list(group.keys()) == ["temp"]
+        assert group["temp"].cf_data is self.temp
+        # Check there are three coordinates.
+        group = cf_group.coordinates
+        assert len(group) == 3
+        coordinates = ["height", "lat", "lon"]
+        assert set(group.keys()) == set(coordinates)
+        for name in coordinates:
+            assert group[name].cf_data is getattr(self, name)
+        # Check there are three auxiliary coordinates.
+        group = cf_group.auxiliary_coordinates
+        assert len(group) == 3
+        aux_coordinates = ["delta", "sigma", "orography"]
+        assert set(group.keys()) == set(aux_coordinates)
+        for name in aux_coordinates:
+            assert group[name].cf_data is getattr(self, name)
+        # Check all the auxiliary coordinates are formula terms.
+        formula_terms = cf_group.formula_terms
+        assert set(group.items()) == set(formula_terms.items())
+        # Check there are three bounds.
+        group = cf_group.bounds
+        assert len(group) == 3
+        bounds = ["height_bnds", "delta_bnds", "sigma_bnds"]
+        assert set(group.keys()) == set(bounds)
+        for name in bounds:
+            assert group[name].cf_data == getattr(self, name)
 
-class Test_build_cf_groups__formula_terms(tests.IrisTest):
-    def setUp(self):
+
+class Test_build_cf_groups__formula_terms:
+    @pytest.fixture(autouse=True)
+    def _setup(self, mocker):
         self.delta = netcdf_variable("delta", "height", np.float64, bounds="delta_bnds")
         self.delta_bnds = netcdf_variable("delta_bnds", "height bnds", np.float64)
         self.sigma = netcdf_variable("sigma", "height", np.float64, bounds="sigma_bnds")
@@ -224,122 +219,95 @@ def setUp(self):
         )
         # Restrict the CFReader functionality to only performing translations
         # and building first level cf-groups for variables.
-        patcher = mock.patch("iris.fileformats.cf.CFReader._reset")
-        patcher.start()
-        self.addCleanup(patcher.stop)
-
-    def test_associate_formula_terms_with_data_variable(self):
-        with mock.patch(
+        mocker.patch("iris.fileformats.cf.CFReader._reset")
+        mocker.patch(
             "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
             return_value=self.dataset,
-        ):
-            cf_group = CFReader("dummy").cf_group
-            self.assertEqual(len(cf_group), len(self.variables))
-            # Check the cf-group associated with the data variable.
-            temp_cf_group = cf_group["temp"].cf_group
-            # Check the data variable is associated with eight variables.
-            self.assertEqual(len(temp_cf_group), 8)
-            # Check there are three coordinates.
-            group = temp_cf_group.coordinates
-            self.assertEqual(len(group), 3)
-            coordinates = ["height", "lat", "lon"]
-            self.assertEqual(set(group.keys()), set(coordinates))
-            for name in coordinates:
-                self.assertIs(group[name].cf_data, getattr(self, name))
-            # Check the height coordinate is bounded.
-            group = group["height"].cf_group
-            self.assertEqual(len(group.bounds), 1)
-            self.assertIn("height_bnds", group.bounds)
-            self.assertIs(group["height_bnds"].cf_data, self.height_bnds)
-            # Check there are five auxiliary coordinates.
-            group = temp_cf_group.auxiliary_coordinates
-            self.assertEqual(len(group), 5)
-            aux_coordinates = ["delta", "sigma", "orography", "x", "y"]
-            self.assertEqual(set(group.keys()), set(aux_coordinates))
-            for name in aux_coordinates:
-                self.assertIs(group[name].cf_data, getattr(self, name))
-            # Check all the auxiliary coordinates are formula terms.
-            formula_terms = cf_group.formula_terms
-            self.assertTrue(set(formula_terms.items()).issubset(list(group.items())))
-            # Check the terms by root.
-            for name, term in zip(aux_coordinates, ["a", "b", "orog"]):
-                self.assertEqual(
-                    formula_terms[name].cf_terms_by_root, dict(height=term)
-                )
-            # Check the bounded auxiliary coordinates.
-            for name, name_bnds in zip(
-                ["delta", "sigma"], ["delta_bnds", "sigma_bnds"]
-            ):
-                aux_coord_group = group[name].cf_group
-                self.assertEqual(len(aux_coord_group.bounds), 1)
-                self.assertIn(name_bnds, aux_coord_group.bounds)
-                self.assertIs(
-                    aux_coord_group[name_bnds].cf_data,
-                    getattr(self, name_bnds),
-                )
+        )
+
+    def test_associate_formula_terms_with_data_variable(self, mocker):
+        cf_group = CFReader("dummy").cf_group
+        assert len(cf_group) == len(self.variables)
+        # Check the cf-group associated with the data variable.
+        temp_cf_group = cf_group["temp"].cf_group
+        # Check the data variable is associated with eight variables.
+        assert len(temp_cf_group) == 8
+        # Check there are three coordinates.
+        group = temp_cf_group.coordinates
+        assert len(group) == 3
+        coordinates = ["height", "lat", "lon"]
+        assert set(group.keys()) == set(coordinates)
+        for name in coordinates:
+            assert group[name].cf_data is getattr(self, name)
+        # Check the height coordinate is bounded.
+        group = group["height"].cf_group
+        assert len(group.bounds) == 1
+        assert "height_bnds" in group.bounds
+        assert group["height_bnds"].cf_data is self.height_bnds
+        # Check there are five auxiliary coordinates.
+        group = temp_cf_group.auxiliary_coordinates
+        assert len(group) == 5
+        aux_coordinates = ["delta", "sigma", "orography", "x", "y"]
+        assert set(group.keys()) == set(aux_coordinates)
+        for name in aux_coordinates:
+            assert group[name].cf_data is getattr(self, name)
+        # Check all the auxiliary coordinates are formula terms.
+        formula_terms = cf_group.formula_terms
+        assert set(formula_terms.items()).issubset(list(group.items()))
+        # Check the terms by root.
+        for name, term in zip(aux_coordinates, ["a", "b", "orog"]):
+            assert formula_terms[name].cf_terms_by_root == dict(height=term)
+        # Check the bounded auxiliary coordinates.
+        for name, name_bnds in zip(["delta", "sigma"], ["delta_bnds", "sigma_bnds"]):
+            aux_coord_group = group[name].cf_group
+            assert len(aux_coord_group.bounds) == 1
+            assert name_bnds in aux_coord_group.bounds
+            assert aux_coord_group[name_bnds].cf_data is getattr(self, name_bnds)
 
     def test_promote_reference(self):
-        with mock.patch(
-            "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
-            return_value=self.dataset,
-        ):
-            cf_group = CFReader("dummy").cf_group
-            self.assertEqual(len(cf_group), len(self.variables))
-            # Check the number of data variables.
-            self.assertEqual(len(cf_group.data_variables), 1)
-            self.assertEqual(list(cf_group.data_variables.keys()), ["temp"])
-            # Check the number of promoted variables.
-            self.assertEqual(len(cf_group.promoted), 1)
-            self.assertEqual(list(cf_group.promoted.keys()), ["orography"])
-            # Check the promoted variable dependencies.
-            group = cf_group.promoted["orography"].cf_group.coordinates
-            self.assertEqual(len(group), 2)
-            coordinates = ("lat", "lon")
-            self.assertEqual(set(group.keys()), set(coordinates))
-            for name in coordinates:
-                self.assertIs(group[name].cf_data, getattr(self, name))
+        cf_group = CFReader("dummy").cf_group
+        assert len(cf_group) == len(self.variables)
+        # Check the number of data variables.
+        assert len(cf_group.data_variables) == 1
+        assert list(cf_group.data_variables.keys()) == ["temp"]
+        # Check the number of promoted variables.
+        assert len(cf_group.promoted) == 1
+        assert list(cf_group.promoted.keys()) == ["orography"]
+        # Check the promoted variable dependencies.
+        group = cf_group.promoted["orography"].cf_group.coordinates
+        assert len(group) == 2
+        coordinates = ("lat", "lon")
+        assert set(group.keys()) == set(coordinates)
+        for name in coordinates:
+            assert group[name].cf_data is getattr(self, name)
 
     def test_formula_terms_ignore(self):
         self.orography.dimensions = ["lat", "wibble"]
-        with mock.patch(
-            "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
-            return_value=self.dataset,
-        ), mock.patch("warnings.warn") as warn:
+        with pytest.warns(match="Ignoring formula terms variable"):
             cf_group = CFReader("dummy").cf_group
             group = cf_group.promoted
-            self.assertEqual(list(group.keys()), ["orography"])
-            self.assertIs(group["orography"].cf_data, self.orography)
-            self.assertEqual(warn.call_count, 1)
+            assert list(group.keys()) == ["orography"]
+            assert group["orography"].cf_data is self.orography
 
     def test_auxiliary_ignore(self):
         self.x.dimensions = ["lat", "wibble"]
-        with mock.patch(
-            "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
-            return_value=self.dataset,
-        ), mock.patch("warnings.warn") as warn:
+        with pytest.warns(match="Ignoring variable 'x'"):
             cf_group = CFReader("dummy").cf_group
             promoted = ["x", "orography"]
             group = cf_group.promoted
-            self.assertEqual(set(group.keys()), set(promoted))
+            assert set(group.keys()) == set(promoted)
             for name in promoted:
-                self.assertIs(group[name].cf_data, getattr(self, name))
-            self.assertEqual(warn.call_count, 1)
+                assert group[name].cf_data is getattr(self, name)
 
     def test_promoted_auxiliary_ignore(self):
         self.wibble = netcdf_variable("wibble", "lat wibble", np.float64)
         self.variables["wibble"] = self.wibble
         self.orography.coordinates = "wibble"
-        with mock.patch(
-            "iris.fileformats.netcdf._thread_safe_nc.DatasetWrapper",
-            return_value=self.dataset,
-        ), mock.patch("warnings.warn") as warn:
+        with pytest.warns(match="Ignoring variable 'wibble'") as warns:
             cf_group = CFReader("dummy").cf_group.promoted
             promoted = ["wibble", "orography"]
-            self.assertEqual(set(cf_group.keys()), set(promoted))
+            assert set(cf_group.keys()) == set(promoted)
             for name in promoted:
-                self.assertIs(cf_group[name].cf_data, getattr(self, name))
-            self.assertEqual(warn.call_count, 2)
-
-
-if __name__ == "__main__":
-    tests.main()
+                assert cf_group[name].cf_data is getattr(self, name)
+        # we should have got 2 warnings
+        assert len(warns.list) == 2