FICO Xpress Optimization Examples Repository: Basic embedding tasks

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Basic embedding tasks

Description

ugcomp.py: Compiling a model into a BIM file (requires burglar2.mos, burglar.dat)
ugarray.py: Accessing modeling objects: sparse arrays (requires transportp.mos, transprt.dat)
ugcb.py: Retrieve model output via a callback (requires burglar2.mos, burglar.dat)
ugparam.py: Passing parameters to a Mosel model (requires prime.mos)
ugsol.py: Accessing modeling objects and solution information (requires burglar3p.mos, burglar.dat)

Difficulty rating: 2 (easy-medium)

ugpython.zip

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Source Files

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ugcomp.py	[download]
ugarray.py	[download]
ugcb.py	[download]
ugsol.py	[download]
ugparam.py	[download]
burglar2.mos	[download]
transportp.mos	[download]
prime.mos	[download]
burglar3p.mos	[download]

Data Files

burglar.dat	[download]
transprt.dat	[download]

burglar3p.mos

(!******************************************************
   Mosel User Guide Example Problems
   =================================

   file burglar3p.mos
   ``````````````````
   Same as burglar3.mos but with solution values
   stored in a real array for retrieval from Python.

   (c) 2026 Fair Isaac Corporation
       author: S. Heipcke, 2001, rev. B. Vieira 2026
*******************************************************!)

model Burglar3p
 uses "mmxprs"

 public declarations
  WTMAX = 102                    ! Maximum weight allowed
  ITEMS = {"camera", "necklace", "vase", "picture", "tv", "video",
           "chest", "brick"}     ! Index set for items

  VALUE: array(ITEMS) of real    ! Value of items
  WEIGHT: array(ITEMS) of real   ! Weight of items

  take: array(ITEMS) of mpvar    ! 1 if we take item i; 0 otherwise
  soltake: array(ITEMS) of real  ! Solution values
 end-declarations

 initializations from 'burglar.dat'
  VALUE  WEIGHT
 end-initializations

! Objective: maximize total value
 MaxVal:= sum(i in ITEMS) VALUE(i)*take(i)

! Weight restriction
 sum(i in ITEMS) WEIGHT(i)*take(i) <= WTMAX

! All variables are 0/1
 forall(i in ITEMS) take(i) is_binary

 maximize(MaxVal)                  ! Solve the MIP-problem

! Store solution values for retrieval
 forall(i in ITEMS) soltake(i):= getsol(take(i))

end-model