Run ruff on changes

Author: PabloRoque

pytensor/tensor/ssignal.py

@@ -1,14 +1,14 @@
+import scipy.signal as scipy_signal
+
+from pytensor.graph.basic import Apply
 from pytensor.tensor import Op, as_tensor_variable
-from pytensor.graph.basic import Apply 
-import pytensor.tensor as pt
 from pytensor.tensor.type import TensorType
-import scipy.signal as scipy_signal
 
 
 class GaussSpline(Op):
     __props__ = ("n",)
 
-    def __init__(self, n: int = None):
+    def __init__(self, n: int):
         self.n = n
 
     def make_node(self, knots):
@@ -35,4 +35,4 @@ def infer_shape(self, fgraph, node, shapes):
 
 
 def gauss_spline(x, n):
-    return GaussSpline(n)(x)
+    return GaussSpline(n)(x)

tests/tensor/test_ssignal.py

@@ -1,15 +1,14 @@
-from pytensor.tensor.ssignal import GaussSpline, gauss_spline
-from pytensor.tensor.type import matrix
-from pytensor import function
-from pytensor import tensor as pt
 import numpy as np
 import pytest
+import scipy.signal as scipy_signal
+
+from pytensor import function
+from pytensor.tensor.ssignal import GaussSpline, gauss_spline
+from pytensor.tensor.type import matrix
 from tests import unittest_tools as utt
 
-import scipy.signal as scipy_signal
 
 class TestGaussSpline(utt.InferShapeTester):
-    
     def setup_method(self):
         super().setup_method()
         self.op_class = GaussSpline
@@ -20,7 +19,7 @@ def test_make_node_raises(self, n):
         a = matrix()
         with pytest.raises(ValueError, match="n must be a non-negative integer"):
             self.op(a, n=n)
-        
+
     def test_perform(self):
         a = matrix()
         f = function([a], self.op(a, n=10))
@@ -31,4 +30,4 @@ def test_infer_shape(self):
         a = matrix()
         self._compile_and_check(
             [a], [self.op(a, 16)], [np.random.random((12, 4))], self.op_class
-        )
+        )