refactor(q_function/Pareto): use generic dtype

Author: xImoZA

rework_pysatl_mpest/distributions/beta.py

@@ -1,4 +1,4 @@
-"""Module providing four parametric beta distribution distribution class"""
+"""Module providing four parametric beta distribution class"""
 
 __author__ = "Maksim Pastukhov, Aleksandra Ri"
 __copyright__ = "Copyright (c) 2025 PySATL project"

rework_pysatl_mpest/distributions/cauchy.py

@@ -152,7 +152,12 @@ def lpdf(self, X):
         X = np.asarray(X, dtype=self.dtype)
         dtype = self.dtype
 
-        return np.log(dtype(1.0)) - np.log(dtype(np.pi)) - np.log(self.scale) - np.log(dtype(1.0) + ((X - self.loc) / self.scale) ** 2)
+        return (
+            np.log(dtype(1.0))
+            - np.log(dtype(np.pi))
+            - np.log(self.scale)
+            - np.log(dtype(1.0) + ((X - self.loc) / self.scale) ** 2)
+        )
 
     def _dlog_loc(self, X):
         """Partial derivative of the lpdf w.r.t. the :attr:`loc` parameter.

rework_tests/unit/distributions/test_beta.py

@@ -78,7 +78,7 @@ def test_initialization_successful(self, dtype):
         """Tests that the instance is initialized correctly with valid parameters."""
 
         shape1, shape2, left_border, right_border = 0.5, 2.0, -1.0, 1.0
-        dist = Beta(alpha=shape1, beta=shape2, lower_bound=left_border, upper_bound=right_border, dtype=dtype)
+        dist = Beta(alpha=shape1, beta=shape2, left_border=left_border, right_border=right_border, dtype=dtype)
         assert dist.alpha.dtype == dtype
         assert dist.beta.dtype == dtype
         assert dist.left_border.dtype == dtype
@@ -145,7 +145,7 @@ def test_invariant_bounds_violation(self, dtype):
     def test_repr_method(self, dtype):
         """Tests that the __repr__ method provides a reproducible string."""
 
-        dist = Beta(alpha=1.1, beta=2.1, lower_bound=10.1, upper_bound=20.1, dtype=dtype)
+        dist = Beta(alpha=1.1, beta=2.1, left_border=10.1, right_border=20.1, dtype=dtype)
         repr_str = repr(dist)
         assert (
             repr_str == f"Beta(alpha={dist.alpha}, beta={dist.beta}, left_border={dist.left_border}, "

rework_tests/unit/estimators/iterative/_strategies/q_function/test_generalized_q_function.py

@@ -28,8 +28,8 @@ class DummyDistribution(ContinuousDistribution):
     param1 = Parameter()
     param2 = Parameter()
 
-    def __init__(self, param1: float, param2: float):
-        super().__init__()
+    def __init__(self, param1: float, param2: float, dtype: np.floating = np.float64):
+        super().__init__(dtype=dtype)
         self.param1 = param1
         self.param2 = param2