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qiskit-community · Feb 8, 2024 · f32f0c6 · f32f0c6
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commit f32f0c6
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Showing 3 changed files with 5 additions and 13 deletions.
diff --git a/qiskit_dynamics/perturbation/array_polynomial.py b/qiskit_dynamics/perturbation/array_polynomial.py
@@ -125,6 +125,7 @@ class ArrayPolynomial:
     is similar to ``ap1 @ ap2``, but will result in an :class:`.ArrayPolynomial` in which all
     terms of degree larger than ``3`` will not be included in the results.
     """
+
     __array_priority__ = 20
 
     def __init__(

diff --git a/test/dynamics/signals/test_signals.py b/test/dynamics/signals/test_signals.py
@@ -136,8 +136,7 @@ def test_complex_value_vectorized(self):
             self.asarray(
                 [
                     (2 * (1.1**2) + 1j * 1.1) * np.exp(1j * 2 * np.pi * 0.1 * 1.1 + 1j * (-0.1)),
-                    (2 * (1.23**2) + 1j * 1.23)
-                    * np.exp(1j * 2 * np.pi * 0.1 * 1.23 + 1j * (-0.1)),
+                    (2 * (1.23**2) + 1j * 1.23) * np.exp(1j * 2 * np.pi * 0.1 * 1.23 + 1j * (-0.1)),
                 ]
             ),
         )
@@ -242,8 +241,7 @@ def test_call_vectorized(self):
             self.asarray(
                 [
                     (2 * (1.1**2) + 1j * 1.1) * np.exp(1j * 2 * np.pi * 0.1 * 1.1 + 1j * (-0.1)),
-                    (2 * (1.23**2) + 1j * 1.23)
-                    * np.exp(1j * 2 * np.pi * 0.1 * 1.23 + 1j * (-0.1)),
+                    (2 * (1.23**2) + 1j * 1.23) * np.exp(1j * 2 * np.pi * 0.1 * 1.23 + 1j * (-0.1)),
                 ]
             ).real,
         )
@@ -1013,9 +1011,7 @@ def test_jit_grad_eval(self):
             + np.real(self.discrete_signal.samples[5])
             * (-2 * np.pi * 2.0)
             * np.sin(2 * np.pi * 2.0 * t),
-            complex_deriv_val=(2.25**2)
-            * (1j * 2 * np.pi * 3.0)
-            * np.exp(1j * 2 * np.pi * 3.0 * t)
+            complex_deriv_val=(2.25**2) * (1j * 2 * np.pi * 3.0) * np.exp(1j * 2 * np.pi * 3.0 * t)
             + self.discrete_signal.samples[5]
             * (1j * 2 * np.pi * 2.0)
             * np.exp(1j * 2 * np.pi * 2.0 * t),

diff --git a/test/dynamics/signals/test_transfer_functions.py b/test/dynamics/signals/test_transfer_functions.py
@@ -33,12 +33,7 @@ def test_convolution(self):
 
         def gaussian(t):
             sigma = 4
-            return (
-                2.0
-                * ts[1]
-                / np.sqrt(2.0 * np.pi * sigma**2)
-                * np.exp(-(t**2) / (2 * sigma**2))
-            )
+            return 2.0 * ts[1] / np.sqrt(2.0 * np.pi * sigma**2) * np.exp(-(t**2) / (2 * sigma**2))
 
         # Test the simple convolution of a signal without a carrier
         convolve = Convolution(gaussian)