There was a thread a while back on NLMSA creation memory leaks. What
about when accessing AnnotationDBs? For example, this code:
from pygr import worldbase
all_resources = worldbase.dir("Bio.Test.Annotation")
dbs = filter(lambda x: x.endswith("db"), all_resources)
for x in dbs:
resource = worldbase(x)
resource.close()
This uses ~50-100MB per resource loaded, and it accumulates. In my
case, the AnnotationDB's sliceDB is a MySQL table. Any ideas about
where the memory could be going?
Kenny
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