Functions
def	get_model_text ()

Variables
	ws = GamsWorkspace(system_directory = sys.argv[1])

	plants = np.array([["Seattle", ""], ["San-Diego", ""]])

	markets = np.array([["New-York", ""], ["Chicago", ""], ["Topeka", ""]])

	capacity = np.array([["Seattle", 350.0], ["San-Diego", 600.0]], dtype=object)

	demand = np.array([["New-York", 325.0], ["Chicago", 300.0], ["Topeka", 275.0]], dtype=object)

	distance

	db = ws.add_database()

	g2np = gams2numpy.Gams2Numpy(ws.system_directory)

	i = db.add_set("i", 1, "canning plants")

	j = db.add_set("j", 1, "markets")

	a = db.add_parameter_dc("a", [i], "capacity of plant i in cases")

	b = db.add_parameter_dc("b", [j], "demand at market j in cases")

	d = db.add_parameter_dc("d", [i,j], "distance in thousands of miles")

	f = db.add_parameter("f", 0, "freight in dollars per case per thousand miles")

	job = ws.add_job_from_string(get_model_text())

	opt = ws.add_options()

	all_model_types

	databases

Function Documentation

◆ get_model_text()

def g2np_example1.get_model_text ( )

Definition at line 14 of file g2np_example1.py.

def get_model_text():
     return '''
   Sets
        i   canning plants
        j   markets
  
   Parameters
        a(i)   capacity of plant i in cases
        b(j)   demand at market j in cases
        d(i,j) distance in thousands of miles
   Scalar f  freight in dollars per case per thousand miles;
  
 $if not set gdxincname $abort 'no include file name for data file provided'
 $gdxin %gdxincname%
 $load i j a b d f
 $gdxin
  
   Parameter c(i,j)  transport cost in thousands of dollars per case ;
  
             c(i,j) = f * d(i,j) / 1000 ;
  
   Variables
        x(i,j)  shipment quantities in cases
        z       total transportation costs in thousands of dollars ;
  
   Positive Variable x ;
  
   Equations
        cost        define objective function
        supply(i)   observe supply limit at plant i
        demand(j)   satisfy demand at market j ;
  
   cost ..        z  =e=  sum((i,j), c(i,j)*x(i,j)) ;
  
   supply(i) ..   sum(j, x(i,j))  =l=  a(i) ;
  
   demand(j) ..   sum(i, x(i,j))  =g=  b(j) ;
  
   Model transport /all/ ;
  
   Solve transport using lp minimizing z ;
  
   Display x.l, x.m ; '''
  
  

Variable Documentation

◆ a

g2np_example1.a = db.add_parameter_dc("a", [i], "capacity of plant i in cases")

Definition at line 85 of file g2np_example1.py.

◆ all_model_types

g2np_example1.all_model_types

Definition at line 101 of file g2np_example1.py.

◆ b

g2np_example1.b = db.add_parameter_dc("b", [j], "demand at market j in cases")

Definition at line 88 of file g2np_example1.py.

◆ capacity

g2np_example1.capacity = np.array([["Seattle", 350.0], ["San-Diego", 600.0]], dtype=object)

Definition at line 67 of file g2np_example1.py.

◆ d

g2np_example1.d = db.add_parameter_dc("d", [i,j], "distance in thousands of miles")

Definition at line 91 of file g2np_example1.py.

◆ databases

g2np_example1.databases

Definition at line 103 of file g2np_example1.py.

◆ db

g2np_example1.db = ws.add_database()

Definition at line 76 of file g2np_example1.py.

◆ demand

g2np_example1.demand = np.array([["New-York", 325.0], ["Chicago", 300.0], ["Topeka", 275.0]], dtype=object)

Definition at line 68 of file g2np_example1.py.

◆ distance

g2np_example1.distance

Initial value:

=  np.array([["Seattle",   "New-York", 2.5],
                          ["Seattle",   "Chicago",  1.7],
                          ["Seattle",   "Topeka",   1.8],
                          ["San-Diego", "New-York", 2.5],
                          ["San-Diego", "Chicago",  1.8],
                          ["San-Diego", "Topeka",   1.4]], dtype=object)

Definition at line 69 of file g2np_example1.py.

◆ f

g2np_example1.f = db.add_parameter("f", 0, "freight in dollars per case per thousand miles")

Definition at line 94 of file g2np_example1.py.

◆ g2np

g2np_example1.g2np = gams2numpy.Gams2Numpy(ws.system_directory)

Definition at line 77 of file g2np_example1.py.

◆ i

g2np_example1.i = db.add_set("i", 1, "canning plants")

Definition at line 79 of file g2np_example1.py.

◆ j

g2np_example1.j = db.add_set("j", 1, "markets")

Definition at line 82 of file g2np_example1.py.

◆ job

g2np_example1.job = ws.add_job_from_string(get_model_text())

Definition at line 97 of file g2np_example1.py.

◆ markets

g2np_example1.markets = np.array([["New-York", ""], ["Chicago", ""], ["Topeka", ""]])

Definition at line 66 of file g2np_example1.py.

◆ opt

g2np_example1.opt = ws.add_options()

Definition at line 98 of file g2np_example1.py.

◆ plants

g2np_example1.plants = np.array([["Seattle", ""], ["San-Diego", ""]])

Definition at line 65 of file g2np_example1.py.

◆ ws

g2np_example1.ws = GamsWorkspace(system_directory = sys.argv[1])

Definition at line 61 of file g2np_example1.py.

Functions

Variables