Go to the source code of this file.
Functions | |
| def | g2np_example1.get_model_text () |
Variables | |
| g2np_example1.ws = GamsWorkspace(system_directory = sys.argv[1]) | |
| g2np_example1.plants = np.array([["Seattle", ""], ["San-Diego", ""]]) | |
| g2np_example1.markets = np.array([["New-York", ""], ["Chicago", ""], ["Topeka", ""]]) | |
| g2np_example1.capacity = np.array([["Seattle", 350.0], ["San-Diego", 600.0]], dtype=object) | |
| g2np_example1.demand = np.array([["New-York", 325.0], ["Chicago", 300.0], ["Topeka", 275.0]], dtype=object) | |
| g2np_example1.distance | |
| g2np_example1.db = ws.add_database() | |
| g2np_example1.g2np = gams2numpy.Gams2Numpy(ws.system_directory) | |
| g2np_example1.i = db.add_set("i", 1, "canning plants") | |
| g2np_example1.j = db.add_set("j", 1, "markets") | |
| g2np_example1.a = db.add_parameter_dc("a", [i], "capacity of plant i in cases") | |
| g2np_example1.b = db.add_parameter_dc("b", [j], "demand at market j in cases") | |
| g2np_example1.d = db.add_parameter_dc("d", [i,j], "distance in thousands of miles") | |
| g2np_example1.f = db.add_parameter("f", 0, "freight in dollars per case per thousand miles") | |
| g2np_example1.job = ws.add_job_from_string(get_model_text()) | |
| g2np_example1.opt = ws.add_options() | |
| g2np_example1.all_model_types | |
| g2np_example1.databases | |
Detailed Description
This example is derived from transport4.py and uses the gams2numpy API. The example demonstrates...
- How to prepare a GamsDatabase from numpy arrays
- How to retrieve the results of a GamsJob as numpy array
Definition in file g2np_example1.py.