I don't normally do Python, but...
Needs must, as all the best cool kids are making Constraints Solvers in Python. Shall I rewrite Practical Python AI Projects: Mathematical Models of Optimization Problems in Ruby? Might be funs.
Anyway, Chapter 1 introduced a simple solver, but this is even simpler.
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| #!/usr/local/bin/python3 | |
| from __future__ import print_function | |
| from ortools.linear_solver import pywraplp | |
| t = 'WhatIsX' | |
| s = pywraplp.Solver(t, pywraplp.Solver.GLOP_LINEAR_PROGRAMMING) | |
| x = s.NumVar(0, 1000, 'x') | |
| s.Add(x + 2*x + 3*x + 4*x == 10) # it's almost algebraic syntax | |
| s.Solve() | |
| print(x.SolutionValue()) |