Go to the source code of this file.
Functions | |
def | transport4.get_model_text () |
Variables | |
transport4.ws = GamsWorkspace(system_directory = sys.argv[1]) | |
list | transport4.plants = [ "Seattle", "San-Diego" ] |
list | transport4.markets = [ "New-York", "Chicago", "Topeka" ] |
dictionary | transport4.capacity = { "Seattle": 350.0, "San-Diego": 600.0 } |
dictionary | transport4.demand = { "New-York": 325.0, "Chicago": 300.0, "Topeka": 275.0 } |
dictionary | transport4.distance |
transport4.db = ws.add_database() | |
transport4.i = db.add_set("i", 1, "canning plants") | |
transport4.j = db.add_set("j", 1, "markets") | |
transport4.a = db.add_parameter_dc("a", [i], "capacity of plant i in cases") | |
transport4.value | |
transport4.b = db.add_parameter_dc("b", [j], "demand at market j in cases") | |
transport4.d = db.add_parameter_dc("d", [i,j], "distance in thousands of miles") | |
transport4.f = db.add_parameter("f", 0, "freight in dollars per case per thousand miles") | |
transport4.t4 = ws.add_job_from_string(get_model_text()) | |
transport4.opt = ws.add_options() | |
transport4.all_model_types | |
transport4.databases | |
Detailed Description
This is the 4th model in a series of tutorial examples. Here we show:
- How to define data using Python data structures
- How to prepare a GamsDatabase from Python data structures
Definition in file transport4.py.