This also appears to leak memory:
def get_polytope():
q = MixedIntegerLinearProgram( maximization = False, solver = 'Coin' )
w = q.new_variable(real = True, nonnegative = True)
q.add_constraint( w[0] == 0 )
def fill_memory(n):
for i in xrange(n):
P = get_polytope()
best,
saul
On Wednesday, November 2, 2016 at 2:34:44 AM UTC-7, Saul Schleimer wrote:
> Here is a bit of code:
>
> # foo.py
>
> def dot_prod(v, w):
> return sum(x*y for (x, y) in zip(v, w))
>
> def get_polytope(M):
> q = MixedIntegerLinearProgram( maximization = False, solver = 'Coin' )
> w = q.new_variable(real = True, nonnegative = True)
> for v in M.rows():
> q.add_constraint( dot_prod(v, w) == 0 )
> return q.polyhedron()
>
> M = Matrix([[1,0],[0,1]])
>
> def fill_memory(n):
> for i in xrange(n):
> P = get_polytope(M)
>
> Now I can do the following:
>
> [Code]$ sage
> ┌────────────────────────────────────────────────────────────────────┐
> │ SageMath Version 6.8, Release Date: 2015-07-26 │
> │ Type "notebook()" for the browser-based notebook interface. │
> │ Type "help()" for help. │
> └────────────────────────────────────────────────────────────────────┘
> sage: attach('foo.py')
> sage: get_memory_usage()
> 288.58984375
> sage: fill_memory(2000); get_memory_usage()
> 300.5859375
> sage: fill_memory(2000); get_memory_usage()
> 302.5859375
> sage: fill_memory(2000); get_memory_usage()
> 303.5859375
> sage: fill_memory(2000); get_memory_usage()
> 305.5859375
>
> It seems like MixedIntegerLinearProgram is leaking memory. This kills my
> computer during long computations.
>
> Suggestions?
>
> all the best,
>
> saul
>
>
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