Added pylint disables (backport #205) (#206)

Co-authored-by: Tristan NEMOZ <36485441+tnemoz@users.noreply.github.com>

Author: mergify[bot]

qiskit_algorithms/amplitude_amplifiers/amplification_problem.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2021, 2023.
+# (C) Copyright IBM 2021, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -29,6 +29,7 @@ class AmplificationProblem:
     on the optimal bitstring.
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         oracle: QuantumCircuit | Statevector,

qiskit_algorithms/amplitude_estimators/ae_utils.py

@@ -20,6 +20,7 @@
 # pylint: disable=invalid-name
 
 
+# pylint: disable=too-many-positional-arguments
 def bisect_max(f, a, b, steps=50, minwidth=1e-12, retval=False):
     """Find the maximum of the real-valued function f in the interval [a, b] using bisection.
 

qiskit_algorithms/amplitude_estimators/estimation_problem.py

@@ -31,6 +31,7 @@ class EstimationProblem:
     or a custom Grover operator.
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         state_preparation: QuantumCircuit,

qiskit_algorithms/amplitude_estimators/iae.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -47,6 +47,7 @@ class IterativeAmplitudeEstimation(AmplitudeEstimator):
              `arXiv:quant-ph/0005055 <http://arxiv.org/abs/quant-ph/0005055>`_.
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         epsilon_target: float,

qiskit_algorithms/gradients/spsa/spsa_estimator_gradient.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2022, 2023.
+# (C) Copyright IBM 2022, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -40,6 +40,7 @@ class SPSAEstimatorGradient(BaseEstimatorGradient):
     `doi: 10.1109/TAC.2000.880982 <https://ieeexplore.ieee.org/document/880982>`_
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         estimator: BaseEstimator,

qiskit_algorithms/gradients/spsa/spsa_sampler_gradient.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2022, 2023.
+# (C) Copyright IBM 2022, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -40,6 +40,7 @@ class SPSASamplerGradient(BaseSamplerGradient):
     `doi: 10.1109/TAC.2000.880982 <https://ieeexplore.ieee.org/document/880982>`_.
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         sampler: BaseSampler,

qiskit_algorithms/minimum_eigensolvers/sampling_vqe.py

@@ -335,6 +335,7 @@ def evaluate_energy(parameters: np.ndarray) -> np.ndarray | float:
 
         return evaluate_energy
 
+    # pylint: disable=too-many-positional-arguments
     def _build_sampling_vqe_result(
         self,
         ansatz: QuantumCircuit,

qiskit_algorithms/optimizers/adam_amsgrad.py

@@ -57,6 +57,7 @@ class ADAM(Optimizer):
         "snapshot_dir",
     ]
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 10000,

qiskit_algorithms/optimizers/aqgd.py

@@ -49,6 +49,7 @@ class AQGD(Optimizer):
 
     _OPTIONS = ["maxiter", "eta", "tol", "disp", "momentum", "param_tol", "averaging"]
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         maxiter: int | list[int] = 1000,
@@ -179,6 +180,7 @@ def _compute_objective_fn_and_gradient(
         gradient = 0.5 * (values[1 : num_params + 1] - values[1 + num_params :])
         return obj_value, gradient
 
+    # pylint: disable=too-many-positional-arguments
     def _update(
         self,
         params: np.ndarray,

qiskit_algorithms/optimizers/cg.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -33,7 +33,7 @@ class CG(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "disp", "gtol", "eps"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 20,

qiskit_algorithms/optimizers/cobyla.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -31,7 +31,7 @@ class COBYLA(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "disp", "rhobeg"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 1000,

qiskit_algorithms/optimizers/gradient_descent.py

@@ -174,6 +174,7 @@ def grad(x):
 
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 100,

qiskit_algorithms/optimizers/gsls.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -51,7 +51,7 @@ class GSLS(Optimizer):
         "max_failed_rejection_sampling",
     ]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 10000,
@@ -131,6 +131,7 @@ def minimize(
 
         return result
 
+    # pylint: disable=too-many-positional-arguments
     def ls_optimize(
         self,
         n: int,
@@ -270,6 +271,7 @@ def sample_points(
 
         return points, directions
 
+    # pylint: disable=too-many-positional-arguments
     def sample_set(
         self, n: int, x: np.ndarray, var_lb: np.ndarray, var_ub: np.ndarray, num_points: int
     ) -> tuple[np.ndarray, np.ndarray]:
@@ -342,6 +344,7 @@ def sample_set(
                 x + self._options["sampling_radius"] * accepted[:num_points],
             )
 
+    # pylint: disable=too-many-positional-arguments
     def gradient_approximation(
         self,
         n: int,

qiskit_algorithms/optimizers/l_bfgs_b.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -46,7 +46,7 @@ class L_BFGS_B(SciPyOptimizer):  # pylint: disable=invalid-name
 
     _OPTIONS = ["maxfun", "maxiter", "ftol", "iprint", "eps"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxfun: int = 15000,

qiskit_algorithms/optimizers/nelder_mead.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -40,7 +40,7 @@ class NELDER_MEAD(SciPyOptimizer):  # pylint: disable=invalid-name
 
     _OPTIONS = ["maxiter", "maxfev", "disp", "xatol", "adaptive"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int | None = None,

qiskit_algorithms/optimizers/nft.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2019, 2023.
+# (C) Copyright IBM 2019, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -29,7 +29,7 @@ class NFT(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "maxfev", "disp", "reset_interval"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int | None = None,
@@ -69,7 +69,7 @@ def __init__(
         super().__init__(method=nakanishi_fujii_todo, options=options, **kwargs)
 
 
-# pylint: disable=invalid-name
+# pylint: disable=invalid-name, too-many-positional-arguments
 def nakanishi_fujii_todo(
     fun, x0, args=(), maxiter=None, maxfev=1024, reset_interval=32, eps=1e-32, callback=None, **_
 ):

qiskit_algorithms/optimizers/p_bfgs.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -52,7 +52,7 @@ class P_BFGS(SciPyOptimizer):  # pylint: disable=invalid-name
 
     _OPTIONS = ["maxfun", "ftol", "iprint"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxfun: int = 1000,

qiskit_algorithms/optimizers/powell.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -33,7 +33,7 @@ class POWELL(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "maxfev", "disp", "xtol"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int | None = None,

qiskit_algorithms/optimizers/qnspsa.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2021, 2023.
+# (C) Copyright IBM 2021, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -93,6 +93,7 @@ def loss(x):
 
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         fidelity: FIDELITY,
@@ -184,6 +185,7 @@ def __init__(
 
         self.fidelity = fidelity
 
+    # pylint: disable=too-many-positional-arguments
     def _point_sample(self, loss, x, eps, delta1, delta2):
         loss_points = [x + eps * delta1, x - eps * delta1]
         fidelity_points = [

qiskit_algorithms/optimizers/slsqp.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -36,7 +36,7 @@ class SLSQP(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "disp", "ftol", "eps"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 100,

qiskit_algorithms/optimizers/spsa.py

@@ -161,6 +161,7 @@ def __call__(self, nfev, parameters, value, stepsize, accepted) -> bool:
 
     """
 
+    # pylint: disable=too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 100,
@@ -280,6 +281,7 @@ def __init__(
         self._nfev: int | None = None  # the number of function evaluations
         self._smoothed_hessian: np.ndarray | None = None  # smoothed average of the Hessians
 
+    # pylint: disable=too-many-positional-arguments
     @staticmethod
     def calibrate(
         loss: Callable[[np.ndarray], float],
@@ -413,6 +415,7 @@ def settings(self) -> dict[str, Any]:
             "termination_checker": self.termination_checker,
         }
 
+    # pylint: disable=too-many-positional-arguments
     def _point_sample(self, loss, x, eps, delta1, delta2):
         """A single sample of the gradient at position ``x`` in direction ``delta``."""
         # points to evaluate
@@ -478,6 +481,7 @@ def _point_estimate(self, loss, x, eps, num_samples):
             hessian_estimate / num_samples,
         )
 
+    # pylint: disable=too-many-positional-arguments
     def _compute_update(self, loss, x, k, eps, lse_solver):
         # compute the perturbations
         if isinstance(self.resamplings, dict):

qiskit_algorithms/optimizers/tnc.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -33,7 +33,7 @@ class TNC(SciPyOptimizer):
 
     _OPTIONS = ["maxiter", "disp", "accuracy", "ftol", "xtol", "gtol", "eps"]
 
-    # pylint: disable=unused-argument
+    # pylint: disable=unused-argument, too-many-positional-arguments
     def __init__(
         self,
         maxiter: int = 100,

qiskit_algorithms/phase_estimators/ipe.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2021, 2023.
+# (C) Copyright IBM 2021, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -59,6 +59,7 @@ def __init__(
         self._num_iterations = num_iterations
         self._sampler = sampler
 
+    # pylint: disable=too-many-positional-arguments
     def construct_circuit(
         self,
         unitary: QuantumCircuit,