Update typing and close assertions in tests as suggested by @LiamPatt…

…inson.

archeryutils/classifications/agb_outdoor_classifications.py

@@ -7,7 +7,7 @@
 agb_outdoor_classification_scores
 """
 
-from typing import Any, Literal, Optional, TypedDict, cast
+from typing import Any, Literal, TypedDict, cast
 
 import numpy as np
 import numpy.typing as npt
@@ -575,7 +575,7 @@ def agb_outdoor_classification_fraction(  # noqa: PLR0913 Too many arguments
     bowstyle: str,
     gender: str,
     age_group: str,
-    restrict: Optional[bool] = True,
+    restrict: bool | None = True,
 ) -> float:
     """
     Calculate the fraction towards the next classification an archer is.

archeryutils/classifications/tests/test_agb_indoor.py

@@ -87,7 +87,7 @@ def test_agb_indoor_classification_scores_ages(
             age_group=age_group,
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "age_group,scores_expected",
@@ -128,7 +128,7 @@ def test_agb_indoor_classification_scores_genders(
             age_group=age_group,
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "bowstyle,scores_expected",
@@ -160,7 +160,7 @@ def test_agb_indoor_classification_scores_bowstyles(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "bowstyle,scores_expected",
@@ -192,7 +192,7 @@ def test_agb_indoor_classification_scores_nonbowstyles(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,scores_expected",
@@ -228,7 +228,7 @@ def test_agb_indoor_classification_scores_triple_faces(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,bowstyle,gender,age_group",
@@ -469,7 +469,7 @@ def test_agb_indoor_classification_fraction(  # noqa: PLR0913 Too many arguments
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)
 
     @pytest.mark.parametrize(
         "roundname,score,age_group,bowstyle,frac_expected",
@@ -521,7 +521,7 @@ def test_agb_indoor_classification_fraction_low(  # noqa: PLR0913 many args
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)
 
     @pytest.mark.parametrize(
         "roundname,score,age_group,bowstyle,frac_expected",
@@ -573,4 +573,4 @@ def test_agb_indoor_classification_fraction_high(  # noqa: PLR0913 Too many args
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)

archeryutils/classifications/tests/test_agb_outdoor.py

@@ -97,7 +97,7 @@ def test_agb_outdoor_classification_scores_ages(
             age_group=age_group,
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,age_group,scores_expected",
@@ -143,7 +143,7 @@ def test_agb_outdoor_classification_scores_genders(
             age_group=age_group,
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,bowstyle,gender,scores_expected",
@@ -201,7 +201,7 @@ def test_agb_outdoor_classification_scores_bowstyles(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,bowstyle,gender,scores_expected",
@@ -241,7 +241,7 @@ def test_agb_outdoor_classification_scores_nonbowstyles(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,scores_expected",
@@ -269,7 +269,7 @@ def test_agb_outdoor_classification_scores_triple_faces(
             age_group="adult",
         )
 
-        assert scores == scores_expected[::-1]
+        assert scores == pytest.approx(scores_expected[::-1])
 
     @pytest.mark.parametrize(
         "roundname,bowstyle,gender,age_group",
@@ -621,7 +621,7 @@ def test_agb_outdoor_classification_fraction(  # noqa: PLR0913 many args
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)
 
     @pytest.mark.parametrize(
         "roundname,score,age_group,bowstyle,frac_expected",
@@ -673,7 +673,7 @@ def test_agb_outdoor_classification_fraction_low(  # noqa: PLR0913 many args
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)
 
     @pytest.mark.parametrize(
         "roundname,score,age_group,bowstyle,frac_expected",
@@ -725,7 +725,7 @@ def test_agb_outdoor_classification_fraction_high(  # noqa: PLR0913 many args
             age_group=age_group,
         )
 
-        assert frac_returned == frac_expected
+        assert frac_returned == pytest.approx(frac_expected)
 
     def test_agb_outdoor_classification_fraction_restrict(
         self,
@@ -749,4 +749,4 @@ def test_agb_outdoor_classification_fraction_restrict(
             restrict=False,
         )
 
-        assert frac_unrestricted == 0.4541258975704667
+        assert frac_unrestricted == pytest.approx(0.4541258975704667)