Avoid deeply nested control flow statements.

Open

                    if np.imag(data[m, n]) >= 0.0:
                        f.write("%.10f+%.10fj" % (np.real(data[m, n]),
                                                  np.imag(data[m, n])))
                    else:
                        f.write("%.10f%.10fj" % (np.real(data[m, n]),

Avoid deeply nested control flow statements.

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                    if n != N - 1:
                        f.write(sep)
                f.write("\n")

Function __init__ has 12 arguments (exceeds 10 allowed). Consider refactoring.

Open

    def __init__(

Avoid deeply nested control flow statements.

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                    if m == n:
                        W += real(rho[m, m] * (-1) ** m * genlaguerre(m, 0)(B))

                    elif n > m:
                        W += 2.0 * real(rho[m, n] * (-1) ** m *

Avoid deeply nested control flow statements.

Open

                    if n != N - 1:
                        f.write(sep)
                f.write("\n")

Function nm_mcsolve has 12 arguments (exceeds 10 allowed). Consider refactoring.

Open

def nm_mcsolve(H, state, tlist, ops_and_rates=(), e_ops=None, ntraj=500, *,

Avoid deeply nested control flow statements.

Open

                    if np.imag(data[m, n]) >= 0.0:
                        f.write("%.10e+%.10ej" % (np.real(data[m, n]),
                                                  np.imag(data[m, n])))
                    else:
                        f.write("%.10e%.10ej" % (np.real(data[m, n]),

Avoid deeply nested control flow statements.

Open

                    if n != N - 1:
                        f.write(sep)
                f.write("\n")

Function correlation_2op_2t has 11 arguments (exceeds 10 allowed). Consider refactoring.

Open

def correlation_2op_2t(H, state0, tlist, taulist, c_ops, a_op, b_op,

Function rcsolve has 11 arguments (exceeds 10 allowed). Consider refactoring.

Open

def rcsolve(Hsys, psi0, tlist, e_ops, Q, wc, alpha, N, w_th, sparse=False,

Function correlation_3op_2t has 11 arguments (exceeds 10 allowed). Consider refactoring.

Open

def correlation_3op_2t(H, state0, tlist, taulist, c_ops, a_op, b_op, c_op,

Function steadystate has a Cognitive Complexity of 22 (exceeds 20 allowed). Consider refactoring.

Open

def steadystate(A, c_ops=[], *, method='direct', solver=None, **kwargs):
    """
    Calculates the steady state for quantum evolution subject to the supplied
    Hamiltonian or Liouvillian operator and (if given a Hamiltonian) a list of
    collapse operators.

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Function solve_csr_dense has a Cognitive Complexity of 22 (exceeds 20 allowed). Consider refactoring.

Open

def solve_csr_dense(matrix: Union[CSR, Dia], target: Dense, method=None,
                    options: dict={}) -> Dense:
    """
    Solve ``Ax=b`` for ``x``.

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Function _find_mkl has a Cognitive Complexity of 22 (exceeds 20 allowed). Consider refactoring.

Open

def _find_mkl():
    """
    Finds the MKL runtime library for the Anaconda and Intel Python
    distributions.
    """

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Avoid too many return statements within this function.

Open

        return (fidelity(oper_choi, target_choi)/d)**2

Avoid too many return statements within this function.

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        return Qobj(_data.add(A, A.adjoint()), dims=dims,

Avoid too many return statements within this function.

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            return process_fidelity(target, oper)  # reverse order

Avoid too many return statements within this function.

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    return Qobj(out_data,

Avoid too many return statements within this function.

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        return composite(*(arg.dag() for arg in args)).dag()

Avoid too many return statements within this function.

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        return self._sum_abs.sum_states