def METHOD_NAME(self):
    """
    A general test for a PDep job in Arkane
    """
    self.tst1 = Arkane()
    self.tst1.input_file = self.input_file
    self.tst1.output_directory = self.directory
    self.tst1.verbose = logging.WARN
    self.tst1.plot = False
    self.tst1.job_list = []
    self.tst1.job_list = self.tst1.load_input_file(self.tst1.input_file)
    self.tst1.execute()
    job = self.tst1.job_list[0]
    assert job.Tmin.value_si == 300.0
    assert job.minimum_grain_count == 100
    assert not job.rmgmode
    assert job.active_j_rotor
    assert job.network.path_reactions[0].label == "acetylperoxy <=> hydroperoxylvinoxy"
    assert round(abs(job.network.path_reactions[0].transition_state.tunneling.E0_TS.value_si - -24267.2), 7) == 0
    assert round(abs(job.network.path_reactions[0].transition_state.tunneling.frequency.value_si - -1679.04), 7) == 0
    assert len(job.network.net_reactions[0].reactants[0].conformer.modes) == 6
    # test that a network pdf was generated
    files = [f for f in os.listdir(self.directory) if os.path.isfile(os.path.join(self.directory, f))]
    assert any(f == "network.pdf" for f in files)
    # Test the generated network reaction
    dictionary = {
        "hydroperoxylvinoxy": Species().from_smiles("[CH2]C(=O)OO"),
        "acetylperoxy": Species().from_smiles("CC(=O)O[O]"),
    }
    with open(os.path.join(self.directory, "chem.inp"), "r") as chem:
        reaction_list = read_reactions_block(chem, dictionary)
    rxn = reaction_list[0]
    assert isinstance(rxn.kinetics, Chebyshev)
    # Accept a delta of 0.2, which could result from numerical discrepancies
    # See RMG-Py #1682 on GitHub for discussion
    assert abs(rxn.kinetics.get_rate_coefficient(1000.0, 1.0) - 88.88253229631246) < 0.2
    files = [
        f for f in os.listdir(os.path.join(self.directory, "sensitivity", "")) if os.path.isfile(os.path.join(self.directory, "sensitivity", f))
    ]
    assert any("hydroperoxylvinoxy.pdf" in f for f in files)
    with open(os.path.join(self.directory, "sensitivity", "network1.txt"), "r") as f:
        lines = f.readlines()
        for line in lines:
            if "1000.0" in line:
                break
    sa_coeff = line.split()[-2]
    assert abs(float(sa_coeff) - -7.02e-07) < 0.02e-6