def test_kmod_simulation_ip4b1(tmp_path, _kmod_inputs_path): analyse_kmod( betastar_and_waist=[200.0, -100.0], working_directory=str(_kmod_inputs_path), beam="B1", simulation=True, no_sig_digits=True, no_plots=False, circuits=["RQ6.R4B1", "RQ7.R4B1"], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5e-5, outputdir=str(tmp_path), ) results = tfs.read(tmp_path / "MQY.6R4.B1-MQM.7R4.B1" / f"{INSTRUMENTS_FILE_NAME}{EXT}", index="NAME") original = { "BPMCS.7R4.B1": (3.64208332528655e01, 9.46041254954643e01), "BPM.7R4.B1": (3.61317067929723e01, 9.48945562104017e01), "BQSH.7R4.B1": (5.07121388372368e02, 9.07140610660815e01), "BPLH.7R4.B1": (4.79632975072045e02, 8.65331699893341e01), } for inst in results.index: beta_x, beta_y = original[inst] betas = dict(X=beta_x, Y=beta_y) for plane in PLANES: beta_meas = results[f"{BETA}{plane}"].loc[inst] assert (np.abs(beta_meas - betas[plane]) ) / betas[plane] < LIMITS["Meas Accuracy"] beta_err_meas = results[f"{ERR}{BETA}{plane}"].loc[inst] assert (beta_err_meas / beta_meas) < LIMITS["Meas Precision"]
def test_kmod_simulation_ip1b1(tmp_path, _kmod_inputs_path): analyse_kmod( betastar_and_waist=[0.25, 0.0], working_directory=str(_kmod_inputs_path), beam="B1", simulation=True, no_sig_digits=True, no_plots=False, interaction_point="ip1", cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.0e-5, outputdir=str(tmp_path), ) results = tfs.read(tmp_path / "ip1B1" / f"{RESULTS_FILE_NAME}{EXT}") beta_twiss = {"X": 0.25, "Y": 0.25} for plane in PLANES: beta_sim = beta_twiss[plane] beta_meas = results[f"{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_meas - beta_sim)) / beta_sim < LIMITS["Accuracy"] beta_err_meas = results[f"{ERR}{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_err_meas)) < LIMITS["Num Precision"]
def test_kmod_meas_ip1b2(tmp_path, _kmod_inputs_path): analyse_kmod( betastar_and_waist=[0.44, 0.0], working_directory=str(_kmod_inputs_path), beam="B2", simulation=False, no_sig_digits=True, no_plots=False, interaction_point="ip1", cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=2.5e-5, outputdir=str(tmp_path), ) results = tfs.read(tmp_path / "ip1B2" / f"{RESULTS_FILE_NAME}{EXT}") beta_prev = {"X": 0.387, "Y": 0.410} for plane in PLANES: beta_meas = results[f"{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_meas - beta_prev[plane]) ) / beta_prev[plane] < LIMITS["Meas Accuracy"] beta_err_meas = results[f"{ERR}{BETA}{STAR}{plane}"].loc[0] assert (beta_err_meas / beta_meas) < LIMITS["Meas Precision"]
def test_kmod_meas_ip4b2(_workdir_path): analyse_kmod(betastar_and_waist=[200.0, -100.0], working_directory=_workdir_path, beam='B2', simulation=False, no_sig_digits=True, no_plots=False, circuits=['RQ7.L4B2', 'RQ6.L4B2'], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5E-5) results = tfs.read(join(_workdir_path, "MQM.7L4.B2-MQY.6L4.B2", f"{INSTRUMENTS_FILE_NAME}{EXT}"), index='NAME') original = { 'BPMYA.6L4.B2': (456.789268726, 149.073169556), 'BGVCA.B7L4.B2': (119.359634764, 152.116072289), 'BPLH.B7L4.B2': (434.440558008, 148.460642194), 'BPLH.A7L4.B2': (441.781928671, 148.654814221) } for inst in results.index: beta_x, beta_y = original[inst] betas = dict(X=beta_x, Y=beta_y) for plane in PLANES: beta_meas = results[f"{BETA}{plane}"].loc[inst] assert (np.abs(beta_meas - betas[plane])) / betas[plane] < LIMITS['Meas Accuracy'] beta_err_meas = results[f"{ERR}{BETA}{plane}"].loc[inst] assert (beta_err_meas / beta_meas) < LIMITS['Meas Precision']
def test_kmod_meas_ip4b1(_workdir_path): analyse_kmod(betastar_and_waist=[200.0, -100.0], working_directory=_workdir_path, beam='B1', simulation=False, no_sig_digits=True, no_plots=False, circuits=['RQ6.R4B1', 'RQ7.R4B1'], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5E-5) results = tfs.read(join(_workdir_path, "MQY.6R4.B1-MQM.7R4.B1", f"{INSTRUMENTS_FILE_NAME}{EXT}"), index='NAME') original = { 'BPMCS.7R4.B1': (17.5074335336, 157.760070696), 'BPM.7R4.B1': (17.6430538896, 157.972911909), 'BQSH.7R4.B1': (455.457631868, 124.586686684), 'BPLH.7R4.B1': (423.68951095, 123.578577484) } for inst in results.index: beta_x, beta_y = original[inst] betas = dict(X=beta_x, Y=beta_y) for plane in PLANES: beta_meas = results[f"{BETA}{plane}"].loc[inst] assert (np.abs(beta_meas-betas[plane]))/betas[plane] < LIMITS['Meas Accuracy'] beta_err_meas = results[f"{ERR}{BETA}{plane}"].loc[inst] assert (beta_err_meas/beta_meas) < LIMITS['Meas Precision']
def test_kmod_error_default(tmp_path, _kmod_inputs_path): """ Test that default errors work. """ [ shutil.copy(kmod_input, tmp_path) for kmod_input in _kmod_inputs_path.glob("*L4B2*") ] analyse_kmod( betastar_and_waist=[200.0, -100.0], working_directory=tmp_path, beam=2, simulation=False, no_sig_digits=True, no_plots=False, circuits=["RQ7.L4B2", "RQ6.L4B2"], )
def test_kmod_meas_ip1b2(_workdir_path): analyse_kmod(betastar_and_waist=[0.44, 0.0], working_directory=_workdir_path, beam='B2', simulation=False, no_sig_digits=True, no_plots=False, ip='ip1', cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=2.5E-5) results = tfs.read(join(_workdir_path, "ip1B2", f"{RESULTS_FILE_NAME}{EXT}")) beta_prev = {'X': 0.387, 'Y': 0.410} for plane in PLANES: beta_meas = results[f"{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_meas-beta_prev[plane]))/beta_prev[plane] < LIMITS['Meas Accuracy'] beta_err_meas = results[f"{ERR}{BETA}{STAR}{plane}"].loc[0] assert (beta_err_meas/beta_meas) < LIMITS['Meas Precision']
def test_kmod_simulation_ip1b1(_workdir_path): analyse_kmod(betastar_and_waist=[0.25, 0.0], working_directory=_workdir_path, beam='B1', simulation=True, no_sig_digits=True, no_plots=False, ip='ip1', cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.0E-5) results = tfs.read(join(_workdir_path, "ip1B1", f"{RESULTS_FILE_NAME}{EXT}")) beta_twiss = {'X': 0.25, 'Y': 0.25} for plane in PLANES: beta_sim = beta_twiss[plane] beta_meas = results[f"{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_meas-beta_sim))/beta_sim < LIMITS['Accuracy'] beta_err_meas = results[f"{ERR}{BETA}{STAR}{plane}"].loc[0] assert (np.abs(beta_err_meas)) < LIMITS['Num Precision']
def test_kmod_outputdir_default(tmp_path, _kmod_inputs_path): """ Copy input files to tmp_path, use it as working_directory and assert the results go there when no outputdir is specified. """ [ shutil.copy(kmod_input, tmp_path) for kmod_input in _kmod_inputs_path.glob("*L4B2*") ] analyse_kmod( betastar_and_waist=[200.0, -100.0], working_directory=str(tmp_path), beam="B2", simulation=False, no_sig_digits=True, no_plots=False, circuits=["RQ7.L4B2", "RQ6.L4B2"], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5e-5, ) assert (tmp_path / "MQM.7L4.B2-MQY.6L4.B2").exists()
def test_kmod_meas_ip4b2(tmp_path, _kmod_inputs_path): analyse_kmod( betastar_and_waist=[200.0, -100.0], working_directory=str(_kmod_inputs_path), beam="B2", simulation=False, no_sig_digits=True, no_plots=False, circuits=["RQ7.L4B2", "RQ6.L4B2"], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5e-5, outputdir=str(tmp_path), ) results = tfs.read(tmp_path / "MQM.7L4.B2-MQY.6L4.B2" / f"{INSTRUMENTS_FILE_NAME}{EXT}", index="NAME") original = { "BPMYA.6L4.B2": (456.789268726, 149.073169556), "BGVCA.B7L4.B2": (119.359634764, 152.116072289), "BPLH.B7L4.B2": (434.440558008, 148.460642194), "BPLH.A7L4.B2": (441.781928671, 148.654814221), } for inst in results.index: beta_x, beta_y = original[inst] betas = dict(X=beta_x, Y=beta_y) for plane in PLANES: beta_meas = results[f"{BETA}{plane}"].loc[inst] assert (np.abs(beta_meas - betas[plane]) ) / betas[plane] < LIMITS["Meas Accuracy"] beta_err_meas = results[f"{ERR}{BETA}{plane}"].loc[inst] assert (beta_err_meas / beta_meas) < LIMITS["Meas Precision"]
def test_kmod_meas_ip4b1(tmp_path, _kmod_inputs_path): analyse_kmod( betastar_and_waist=[200.0, -100.0], working_directory=str(_kmod_inputs_path), beam="B1", simulation=False, no_sig_digits=True, no_plots=False, circuits=["RQ6.R4B1", "RQ7.R4B1"], cminus=0.0, misalignment=0.0, errorK=0.0, errorL=0.0, tune_uncertainty=0.5e-5, outputdir=str(tmp_path), ) results = tfs.read(tmp_path / "MQY.6R4.B1-MQM.7R4.B1" / f"{INSTRUMENTS_FILE_NAME}{EXT}", index="NAME") original = { "BPMCS.7R4.B1": (17.5074335336, 157.760070696), "BPM.7R4.B1": (17.6430538896, 157.972911909), "BQSH.7R4.B1": (455.457631868, 124.586686684), "BPLH.7R4.B1": (423.68951095, 123.578577484), } for inst in results.index: beta_x, beta_y = original[inst] betas = dict(X=beta_x, Y=beta_y) for plane in PLANES: beta_meas = results[f"{BETA}{plane}"].loc[inst] assert (np.abs(beta_meas - betas[plane]) ) / betas[plane] < LIMITS["Meas Accuracy"] beta_err_meas = results[f"{ERR}{BETA}{plane}"].loc[inst] assert (beta_err_meas / beta_meas) < LIMITS["Meas Precision"]