Remove all remaining occurences in docstrings for unused c and p argu…

…ments.

#167 (comment)

quantus/metrics/axiomatic/completeness.py

@@ -273,10 +273,6 @@ def evaluate_instance(
             The explanation to be evaluated on an instance-basis.
         s: np.ndarray
             The segmentation to be evaluated on an instance-basis.
-        c: any
-            The custom input to be evaluated on an instance-basis.
-        p: any
-            The custom preprocess input to be evaluated on an instance-basis.
 
         Returns
         -------

quantus/metrics/localisation/focus.py

@@ -249,10 +249,10 @@ def evaluate_instance(
         i: int,
         model: ModelInterface,
         x: np.ndarray,
-        y: np.ndarray,
-        a: np.ndarray,
-        s: np.ndarray,
-        c: np.ndarray,
+        y: np.ndarray = None,
+        a: np.ndarray = None,
+        s: np.ndarray = None,
+        c: np.ndarray = None,
     ) -> float:
         """
         Evaluate instance gets model and data for a single instance as input and returns the evaluation result.

quantus/metrics/randomisation/model_parameter_randomisation.py

@@ -317,10 +317,10 @@ def evaluate_instance(
         self,
         model: ModelInterface,
         x: np.ndarray,
-        y: np.ndarray,
-        a: np.ndarray,
-        s: np.ndarray,
-        a_perturbed: np.ndarray,
+        y: np.ndarray = None,
+        a: np.ndarray = None,
+        s: np.ndarray = None,
+        a_perturbed: np.ndarray = None,
     ) -> float:
         """
         Evaluate instance gets model and data for a single instance as input and returns the evaluation result.
@@ -339,10 +339,8 @@ def evaluate_instance(
             The explanation to be evaluated on an instance-basis.
         s: np.ndarray
             The segmentation to be evaluated on an instance-basis.
-        c: any
-            The custom input to be evaluated on an instance-basis.
-        p: any
-            The custom preprocess input to be evaluated on an instance-basis.
+        a_perturbed: np.ndarray
+            The perturbed attributions.
 
         Returns
         -------

quantus/metrics/randomisation/random_logit.py

@@ -226,9 +226,9 @@ def evaluate_instance(
         i: int,
         model: ModelInterface,
         x: np.ndarray,
-        y: np.ndarray,
-        a: np.ndarray,
-        s: np.ndarray,
+        y: np.ndarray = None,
+        a: np.ndarray = None,
+        s: np.ndarray = None,
     ) -> float:
         """
         Evaluate instance gets model and data for a single instance as input and returns the evaluation result.
@@ -247,10 +247,6 @@ def evaluate_instance(
             The explanation to be evaluated on an instance-basis.
         s: np.ndarray
             The segmentation to be evaluated on an instance-basis.
-        c: any
-            The custom input to be evaluated on an instance-basis.
-        p: any
-            The custom preprocess input to be evaluated on an instance-basis.
 
         Returns
         -------

quantus/metrics/robustness/consistency.py

@@ -233,10 +233,10 @@ def evaluate_instance(
         i: int,
         model: ModelInterface,
         x: np.ndarray,
-        y: np.ndarray,
-        a: np.ndarray,
-        s: np.ndarray,
-        a_label: Any,
+        y: np.ndarray = None,
+        a: np.ndarray = None,
+        s: np.ndarray = None,
+        a_label: np.ndarray = None,
     ) -> float:
         """
         Evaluate instance gets model and data for a single instance as input and returns the evaluation result.
@@ -255,10 +255,8 @@ def evaluate_instance(
             The explanation to be evaluated on an instance-basis.
         s: np.ndarray
             The segmentation to be evaluated on an instance-basis.
-        c: any
-            The custom input to be evaluated on an instance-basis.
-        p: any
-            The custom preprocess input to be evaluated on an instance-basis.
+        a_label: np.ndarray
+            The discretised attribution labels.
 
         Returns
         -------