[pre-commit.ci] auto fixes from pre-commit.com hooks

README.md

@@ -135,7 +135,8 @@ To use symbolic quantum simulation, run:
 pip install .[optim]
 ```
 
-Which will enable [qiskit-symb](https://github.com/SimoneGasperini/qiskit-symb) integration.
+Which will enable [qiskit-symb](https://github.com/SimoneGasperini/qiskit-symb)
+integration.
 
 Note, Qiskit only provide binaries for Linux. For other platforms, or if you want to
 enable specific NVIDIA optimization for quantum, you need to build the binary

pyriemann_qiskit/classification.py

@@ -423,7 +423,7 @@ def _init_algo(self, n_features):
                 self.gen_feature_map,
                 self._quantum_instance,
                 self.use_fidelity_state_vector_kernel,
-                not self.pegasos
+                not self.pegasos,
             )
             if self.pegasos:
                 self._log("[Warning] `gamma` is not supported by PegasosQSVC")

pyriemann_qiskit/utils/quantum_provider.py

@@ -15,12 +15,13 @@
     FidelityStatevectorKernel,
     FidelityQuantumKernel,
 )
+
 try:
     from qiskit_symb.quantum_info import Statevector
-    QISKIT_SYMB=True
-except:
-    QISKIT_SYMB=False
 
+    QISKIT_SYMB = True
+except:
+    QISKIT_SYMB = False
 
 
 class SymbFidelityStatevectorKernel:
@@ -218,14 +219,14 @@ def get_quantum_kernel(
     gen_feature_map,
     quantum_instance,
     use_fidelity_state_vector_kernel,
-    use_qiskit_symb
+    use_qiskit_symb,
 ):
     """Get a quantum kernel
 
     Return an instance of FidelityQuantumKernel or
     FidelityStatevectorKernel (in the case of a simulation).
 
-    For simulation with a small number of qubits (< 9), and `use_qiskit_symb` is True, 
+    For simulation with a small number of qubits (< 9), and `use_qiskit_symb` is True,
     qiskit-symb is used.
 
     Parameters

requirements.txt

@@ -14,4 +14,3 @@ docplex>=2.21.207
 firebase_admin==6.5.0
 tqdm
 pandas
-