def METHOD_NAME():
    table = Table()
    table["age"] = [100, 1000] * u.yr
    table = add_pulsar_parameters(table, random_state=0)
    assert len(table) == 2
    assert len(table.colnames) == 10
    assert table["age"].unit == "yr"
    assert_allclose(table["age"], [100, 1000])
    assert table["P0"].unit == "s"
    assert_allclose(table["P0"], [0.214478, 0.246349], atol=1e-5)
    assert table["P1"].unit == ""
    assert_allclose(table["P1"], [6.310423e-13, 4.198294e-16], atol=1e-5)
    assert table["P0_birth"].unit == "s"
    assert_allclose(table["P0_birth"], [0.212418, 0.246336], atol=1e-5)
    assert table["P1_birth"].unit == ""
    assert_allclose(table["P1_birth"], [6.558773e-13, 4.199198e-16], atol=1e-5)
    assert table["CharAge"].unit == "yr"
    assert_allclose(table["CharAge"], [2.207394e-21, 1.638930e-24], atol=1e-5)
    assert table["Tau0"].unit == "yr"
    assert_allclose(table["Tau0"], [5.131385e03, 9.294538e06], atol=1e-5)
    assert table["L_PSR"].unit == "erg / s"
    assert_allclose(table["L_PSR"], [2.599229e36, 1.108788e33], rtol=1e-5)
    assert table["L0_PSR"].unit == "erg / s"
    assert_allclose(table["L0_PSR"], [2.701524e36, 1.109026e33], rtol=1e-5)
    assert table["B_PSR"].unit == "G"
    assert_allclose(table["B_PSR"], [1.194420e13, 3.254597e11], rtol=1e-5)