stage_duration_minutes, repair_fct, lines)
cb_data["epath"] = egret_path_to_data
cb_data["acstream"] = acstream
creator_options = {"cb_data": cb_data}
scenario_names=["Scenario_"+str(i)\
for i in range(1,len(cb_data["etree"].rootnode.ScenarioList)+1)]
# end options
ef = sputils.create_EF(scenario_names, pysp2_callback, creator_options)
###solver.options["BarHomogeneous"] = 1
if "gurobi" in solvername:
solver.options["BarHomogeneous"] = 1
results = solver.solve(ef, tee=True)
pyo.assert_optimal_termination(results)
print('EF objective value:', pyo.value(ef.EF_Obj))
sputils.ef_nonants_csv(ef, "vardump.csv")
for (sname, smodel) in sputils.ef_scenarios(ef):
print(sname)
for stage in smodel.stage_models:
print(" Stage {}".format(stage))
for gen in smodel.stage_models[stage].pg:
print (" gen={} pg={}, qg={}"\
.format(gen,
pyo.value(smodel.stage_models[stage].pg[gen]),
pyo.value(smodel.stage_models[stage].qg[gen])))
print(" obj={}".format(pyo.value(smodel.objective)))
print("EF objective value for case {}={}".\
format(pyo.value(casename), pyo.value(ef.EF_Obj)))
def nonants_to_csv(self, filename):
""" Dump the nonant vars from an ef to a csv file; truly a dump...
Args:
filename (str): the full name of the csv output file
"""
sputils.ef_nonants_csv(self.ef, filename)