def test_convenience_kinetics_correlated_to_reference():
timeseries = test_convenience_kinetics()
flattened = flatten_timeseries(timeseries)
reference_timeseries = load_timeseries(
os.path.join(REFERENCE_DATA_DIR, NAME + '.csv'))
assert_timeseries_close(flattened,
reference_timeseries,
tolerances={
'internal_pyr_c': 9,
'internal_pep_c': 9,
'internal_g6p_c': 9,
})
def test_antibiotics_composite_similar_to_reference():
timeseries = run_antibiotics_composite()
flattened = flatten_timeseries(timeseries)
reference = load_timeseries(
os.path.join(REFERENCE_DATA_DIR, Antibiotics.name + '.csv'))
assert_timeseries_close(flattened,
reference,
tolerances={
'cell_counts_AcrAB-TolC': 99999,
'cell_counts_antibiotic': 999,
'cell_counts_AcrAB-TolC_RNA': 9,
'cell_counts_porin': 9999,
})
def test_antibiotic_transport():
timeseries = run_antibiotic_transport()
flattened = flatten_timeseries(timeseries)
reference = load_timeseries(os.path.join(
REFERENCE_DATA_DIR, AntibioticTransport.name + '.csv'))
assert_timeseries_close(flattened, reference)
def test_convenience_kinetics_correlated_to_reference():
timeseries = test_convenience_kinetics()
flattened = flatten_timeseries(timeseries)
reference_timeseries = load_timeseries(
os.path.join(REFERENCE_DATA_DIR, NAME + '.csv'))
assert_timeseries_close(flattened, reference_timeseries)