def test_flux_variability_parallel(self):
mp_view = MultiprocessingView()
fva_solution = flux_variability_analysis(self.model,
remove_cycles=False,
view=mp_view)
mp_view.shutdown()
assert_dataframes_equal(fva_solution,
REFERENCE_FVA_SOLUTION_ECOLI_CORE)
def test_flux_variability_parallel(self, core_model):
original_objective = core_model.objective
mp_view = MultiprocessingView(2)
fva_solution = flux_variability_analysis(core_model, fraction_of_optimum=0.999999419892,
remove_cycles=False, view=mp_view)
pfba_fva = flux_variability_analysis(core_model, fraction_of_optimum=1, pfba_factor=1,
view=mp_view).data_frame
mp_view.shutdown()
assert_data_frames_equal(fva_solution, REFERENCE_FVA_SOLUTION_ECOLI_CORE)
assert original_objective == core_model.objective
assert sum(abs(pfba_fva.lower_bound)) - 518.422 < .001
assert sum(abs(pfba_fva.upper_bound)) - 518.422 < .001
def test_flux_variability_parallel(self, core_model):
original_objective = core_model.objective
mp_view = MultiprocessingView(2)
fva_solution = flux_variability_analysis(core_model, fraction_of_optimum=0.999999419892,
remove_cycles=False, view=mp_view)
pfba_fva = flux_variability_analysis(core_model, fraction_of_optimum=1, pfba_factor=1,
view=mp_view).data_frame
mp_view.shutdown()
assert_data_frames_equal(fva_solution, REFERENCE_FVA_SOLUTION_ECOLI_CORE)
assert original_objective == core_model.objective
assert sum(abs(pfba_fva.lower_bound)) - 518.422 < .001
assert sum(abs(pfba_fva.upper_bound)) - 518.422 < .001
def test_flux_variability_parallel(self):
mp_view = MultiprocessingView()
fva_solution = flux_variability_analysis(self.model, remove_cycles=False, view=mp_view)
mp_view.shutdown()
assert_dataframes_equal(fva_solution, REFERENCE_FVA_SOLUTION_ECOLI_CORE)
