lint: reformatted code with Black

tests/conftest.py

@@ -2,33 +2,39 @@
 import json
 import requests
 import numpy as np
+
 # The conftest.py file serves as a means of providing fixtures for an entire directory.
-# Fixtures defined in a conftest.py can be used by any test in that package 
+# Fixtures defined in a conftest.py can be used by any test in that package
 # without needing to import them (pytest will automatically discover them).
 
+
 unit_test_data_prefix = "https://raw.githubusercontent.com/TwinGan/validation-data-comfort-models/release_v1.0/"
 test_adaptive_en_url = unit_test_data_prefix + "ts_adaptive_en.json"
 
+
 def retrieve_data(url):
     try:
-      resp = requests.get(url)
-      reference_tables = json.loads(resp.text)
-      return reference_tables
+        resp = requests.get(url)
+        reference_tables = json.loads(resp.text)
+        return reference_tables
     except requests.RequestException as e:
         print(f"Error fetching data from {url}: {e}")
         return None
 
+
 # Custom equal method
-## Json null equal to np.nan
+# Json null equal to np.nan
 @pytest.fixture
 def is_equal():
     def compare(a, b):
         if (a is None and np.isnan(b)) or (b is None and np.isnan(a)):
             return True
         return a == b
+
     return compare
 
+
 # get test data for adaptove_en()
 @pytest.fixture
 def get_adaptive_en_test_data():
-    return retrieve_data(test_adaptive_en_url)
+    return retrieve_data(test_adaptive_en_url)

tests/test_adaptive_en.py

@@ -1,23 +1,24 @@
 import numpy as np
 from pythermalcomfort.models import adaptive_en
 
+
 def test_adaptive_en(get_adaptive_en_test_data, is_equal):
     for entry in get_adaptive_en_test_data["data"]:
         inputs = entry["inputs"]
         outputs = entry["outputs"]
         result = adaptive_en(
-            inputs["tdb"],
-            inputs["tr"],
-            inputs["t_running_mean"],
-            inputs["v"]
+            inputs["tdb"], inputs["tr"], inputs["t_running_mean"], inputs["v"]
+        )
+
+        assert is_equal(result["tmp_cmf"], outputs["tmp_cmf"])
+        assert is_equal(result["acceptability_cat_i"], outputs["acceptability_cat_i"])
+        assert is_equal(result["acceptability_cat_ii"], outputs["acceptability_cat_ii"])
+        assert is_equal(
+            result["acceptability_cat_iii"], outputs["acceptability_cat_iii"]
         )
-        assert is_equal(result["tmp_cmf"] , outputs["tmp_cmf"])
-        assert is_equal(result["acceptability_cat_i"] , outputs["acceptability_cat_i"])
-        assert is_equal(result["acceptability_cat_ii"] , outputs["acceptability_cat_ii"])
-        assert is_equal(result["acceptability_cat_iii"] , outputs["acceptability_cat_iii"])
-        assert is_equal(result["tmp_cmf_cat_i_up"] , outputs["tmp_cmf_cat_i_up"])
-        assert is_equal(result["tmp_cmf_cat_ii_up"] , outputs["tmp_cmf_cat_ii_up"])
-        assert is_equal(result["tmp_cmf_cat_iii_up"] , outputs["tmp_cmf_cat_iii_up"])
-        assert is_equal(result["tmp_cmf_cat_i_low"] , outputs["tmp_cmf_cat_i_low"])
-        assert is_equal(result["tmp_cmf_cat_ii_low"] , outputs["tmp_cmf_cat_ii_low"])
-        assert is_equal(result["tmp_cmf_cat_iii_low"] , outputs["tmp_cmf_cat_iii_low"])
+        assert is_equal(result["tmp_cmf_cat_i_up"], outputs["tmp_cmf_cat_i_up"])
+        assert is_equal(result["tmp_cmf_cat_ii_up"], outputs["tmp_cmf_cat_ii_up"])
+        assert is_equal(result["tmp_cmf_cat_iii_up"], outputs["tmp_cmf_cat_iii_up"])
+        assert is_equal(result["tmp_cmf_cat_i_low"], outputs["tmp_cmf_cat_i_low"])
+        assert is_equal(result["tmp_cmf_cat_ii_low"], outputs["tmp_cmf_cat_ii_low"])
+        assert is_equal(result["tmp_cmf_cat_iii_low"], outputs["tmp_cmf_cat_iii_low"])