From 78f50a58839d013d0b3278173072e47163978bae Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 5 Aug 2024 21:27:03 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 compliance_checker/cf/cf_1_9.py     | 24 +++++++++++++++++-------
 compliance_checker/tests/test_cf.py | 10 ++++++----
 2 files changed, 23 insertions(+), 11 deletions(-)

diff --git a/compliance_checker/cf/cf_1_9.py b/compliance_checker/cf/cf_1_9.py
index 73211e44..6e36ebe8 100644
--- a/compliance_checker/cf/cf_1_9.py
+++ b/compliance_checker/cf/cf_1_9.py
@@ -150,7 +150,10 @@ def check_domain_variables(self, ds: Dataset):
                     continue
                 appendix_a_not_recommended_attrs = []
                 for attr_name in domain_var.ncattrs():
-                    if attr_name in self.appendix_a and "D" not in self.appendix_a[attr_name]["attr_loc"]:
+                    if (
+                        attr_name in self.appendix_a
+                        and "D" not in self.appendix_a[attr_name]["attr_loc"]
+                    ):
                         appendix_a_not_recommended_attrs.append(attr_name)
 
                 if appendix_a_not_recommended_attrs:
@@ -163,10 +166,11 @@ def check_domain_variables(self, ds: Dataset):
                 # no errors occurred
                 domain_valid.score += 1
 
-
             # IMPLEMENTATION CONFORMANCE 5.8 REQUIRED 4/4
             if hasattr(domain_var, "cell_measures"):
-                cell_measures_var_names = regex.findall(r"\b(?:area|volume):\s+(\w+)", domain_var.cell_measures)
+                cell_measures_var_names = regex.findall(
+                    r"\b(?:area|volume):\s+(\w+)", domain_var.cell_measures,
+                )
                 # check exist
                 for var_name in cell_measures_var_names:
                     try:
@@ -174,10 +178,16 @@ def check_domain_variables(self, ds: Dataset):
                     except ValueError:
                         # TODO: what to do here?
                         continue
-                    domain_coord_var_names = {var_like.name for var_like in domain_coord_vars}
-                    domain_valid.assert_true(set(cell_measures_variable.dimensions).issubset(domain_coord_var_names),
-                                             "Variables named in the cell_measures attributes must have a dimensions attribute with "
-                                             "values that are a subset of the referring domain variable's dimension attribute")
+                    domain_coord_var_names = {
+                        var_like.name for var_like in domain_coord_vars
+                    }
+                    domain_valid.assert_true(
+                        set(cell_measures_variable.dimensions).issubset(
+                            domain_coord_var_names,
+                        ),
+                        "Variables named in the cell_measures attributes must have a dimensions attribute with "
+                        "values that are a subset of the referring domain variable's dimension attribute",
+                    )
 
             results.append(domain_valid.to_result())
 
diff --git a/compliance_checker/tests/test_cf.py b/compliance_checker/tests/test_cf.py
index f053f837..9738b78e 100644
--- a/compliance_checker/tests/test_cf.py
+++ b/compliance_checker/tests/test_cf.py
@@ -3258,10 +3258,12 @@ def test_domain(self):
         domain_var.cell_measures = "volume: cube_bad"
         dataset.createVariable("cube_bad", "f8", ("lon", "lat", "depth", "time"))
         results = self.cf.check_domain_variables(dataset)
-        self.assertTrue("Variables named in the cell_measures attributes must "
-                        "have a dimensions attribute with values that are a "
-                        "subset of the referring domain variable's dimension "
-                        "attribute" in results[0].msgs)
+        self.assertTrue(
+            "Variables named in the cell_measures attributes must "
+            "have a dimensions attribute with values that are a "
+            "subset of the referring domain variable's dimension "
+            "attribute" in results[0].msgs,
+        )
         del dataset
         dataset = MockTimeSeries()
         # domain should be dimensionless -- currently not an error in