Add more suggestions from coderabbit

tests/conftest.py

@@ -47,7 +47,7 @@ def heps():
     """
     Perturbation/step size for finite difference evaluation of derivative/sensitivity.
 
-    The value 1e-5 is arbitrary, but is a a compromise between:
+    The value 1e-5 is arbitrary, but is a compromise between:
     - Being small enough to ensure the finite difference calculation being accurate
     - Being large enough to avoid round-off error in floating-point arithmetic
     """
@@ -59,7 +59,8 @@ def n_test_points():
     """
     Number of random testing points (in parametric domain)
 
-    The number 10 is arbitrary and should ensure to have good test coverage
+    The number 10 is arbitrary and should ensure to have good test coverage. Increasing
+    this number could yield more thorough tests at the cost of longer runtime.
     """
     return 10
 
@@ -68,7 +69,9 @@ def n_test_points():
 def big_perturbation():
     """Value for perturbation of parameters value
 
-    The number 0.1 is small enough to fit the range of most tile parameters"""
+    The number 0.1 is chosen arbitrarily. This value is for testing out of bounds
+    parameter values. It is designed to add to the maximum or subtract from the
+    minimum bound to delibarately make the values out of the bounds."""
     return 0.1
 
 

tests/test_microtiles.py

@@ -6,6 +6,7 @@
 import splinepy.microstructure as ms
 from splinepy.utils.data import cartesian_product as _cartesian_product
 
+# Tolerance value for checking control points
 EPS = 1e-8
 
 all_tile_classes = list(ms.tiles.everything().values())
@@ -31,14 +32,14 @@
 
 def check_control_points(tile_patches):
     """Helper function. Check if all of tile's control points all lie within unit
-    square/cube"""
+    square/cube. The tolerance is defined by EPS"""
     # Go through all patches
     for tile_patch in tile_patches:
         cps = tile_patch.control_points
-        assert np.all((cps >= 0.0 - EPS) & (cps <= 1.0 + EPS)), (
+        valid_cp_indices = (cps >= 0.0 - EPS) & (cps <= 1.0 + EPS)
+        assert np.all(valid_cp_indices), (
             "Control points of tile must lie inside the unit square/cube. "
-            + "Found points outside bounds: "
-            f"{cps[~((cps >= 0.0 - EPS) & (cps <= 1.0 + EPS))]}"
+            + f"Found points outside bounds: {cps[~(valid_cp_indices)]}"
         )
 
 
@@ -121,8 +122,8 @@ def test_tile_class(tile_class):
         assert isinstance(
             getattr(tile_instance, required_variable), var_type
         ), (
-            f"Variable {required_variable} needs to be of type {var_type} and not"
-            f"{required_variable}"
+            f"Variable {required_variable} must be of type {var_type}, but found type "
+            f"{type(getattr(tile_instance, required_variable))}"
         )
 
     # Check default parameter value if there is one