I also found valgrind not very helpful here, but good old
code-dissection leads me to believe that the problem might originate in
the polynomial evaluation in the _richcmp_ routine in
src/sage/rings/number_field/number_field_element.pyx
That's because the following code shows the same leak:
x = polygen(ZZ)
K = NumberField(x**3 - 2, 'cbrt2', embedding=RR(1.2599))
w = K.gen()
wp = w.polynomial()
app = K._get_embedding_approx(3)
import resource
print resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
for _ in range(20000): test = wp(app)
print resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
for _ in range(20000): test = wp(app)
print resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
for _ in range(20000): test = wp(app)
print resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
HTH,
Christian
On 23.03.2016 17:17, Vincent Delecroix wrote:
Hello,
Some friend just sent an e-mail to me mentioning a memory leak. Here
is a minimal example
sage: x = polygen(ZZ)
sage: K = NumberField(x**3 - 2, 'cbrt2', embedding=RR(1.2599))
sage: w = K.gen()
sage: import resource
sage: resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
180720
sage: for _ in range(10000): test = w > 1
sage: resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
183452
sage: for _ in range(10000): test = w > 1
sage: resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
184552
sage: for _ in range(10000): test = w > 1
sage: resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
185832
The memory usage should *not* grow at all but it does very fast. I am
new to valgrind and was not able to get anything from it. Any help
appreciated.
Vincent
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