- updated code base with flake8 and black

- updated `_assert_pairing_dict_equal()` docstring

tests/cases_compare.py

@@ -13,7 +13,9 @@
 from tests.conftest import _load_xarray
 from gval.utils.schemas import Crosstab_df
 from gval.comparison.pairing_functions import (
-    szudzik_pair_signed, cantor_pair_signed, PairingDict
+    szudzik_pair_signed,
+    cantor_pair_signed,
+    PairingDict,
 )
 
 
@@ -127,11 +129,13 @@ def case_szudzik_pair_signed(c, b, a):
 
 expected_dict_data = [
     (
-        PairingDict({
-            (np.finfo(float).max, 1): 1,
-            (2, np.finfo(float).max): 2,
-            (np.finfo(float).max, 5): 3,
-        })
+        PairingDict(
+            {
+                (np.finfo(float).max, 1): 1,
+                (2, np.finfo(float).max): 2,
+                (np.finfo(float).max, 5): 3,
+            }
+        )
     )
 ]
 

tests/conftest.py

@@ -9,7 +9,6 @@
 
 import os
 
-import numpy as np
 import xarray as xr
 import rioxarray as rxr
 import geopandas as gpd
@@ -95,18 +94,16 @@ def _load_xarray(
 
 
 def _assert_pairing_dict_equal(
-        computed_dict: Union[dict, PairingDict], expected_dict: Union[dict, PairingDict]
+    computed_dict: Union[dict, PairingDict], expected_dict: Union[dict, PairingDict]
 ) -> None:
     """
     Testing function used to test if two pairing dictionaries are equal.
 
-    This is necessary because np.nans can be of float or np.float64 kind which makes operator (==) comparisons false.
-
     Parameters
     ----------
-    computed_dict : dict
+    computed_dict : dict or PairingDict
         Pairing dict computed to test.
-    expected_dict : dict
+    expected_dict : dict or PairingDict
         Expected pairing dict to compare to.
 
     Returns
@@ -125,9 +122,8 @@ def _assert_pairing_dict_equal(
     diff = DeepDiff(expected_dict, computed_dict)
 
     if diff:
-        raise AssertionError(
-            f"Dictionaries are not equal. {diff}"
-        )
+        raise AssertionError(f"Dictionaries are not equal. {diff}")
+
 
 def _attributes_to_string(
     obj: Union[xr.DataArray, xr.Dataset]

tests/test_attributes.py

@@ -51,6 +51,7 @@ def test_attribute_tracking(
         pd.testing.assert_frame_equal(results[0], expected_df)
         _assert_pairing_dict_equal(results[1].attrs, expected_attr)
 
+
 @parametrize_with_cases(
     "candidate_map, benchmark_map, candidate_include, candidate_exclude, benchmark_include, benchmark_exclude, exception",
     glob="attribute_tracking_fail",