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rank: naive rank property computation and retrieval...
rank: naive rank property computation and retrieval This stores the rank (size of the ancestor set of a revision, including itself) in a changelog field and allows this property to be retrieved. This new property is used as part of stable-range computations, which will be introduced later on. The value is computed in a naive way from the definition of the rank. This will be replaced by a more efficient version subsequently. Differential Revision: https://phab.mercurial-scm.org/D12139

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memorytop.py
44 lines | 1.4 KiB | text/x-python | PythonLexer
# memorytop requires Python 3.4
#
# Usage: set PYTHONTRACEMALLOC=n in the environment of the hg invocation,
# where n>= is the number of frames to show in the backtrace. Put calls to
# memorytop in strategic places to show the current memory use by allocation
# site.
import gc
import tracemalloc
def memorytop(limit=10):
gc.collect()
snapshot = tracemalloc.take_snapshot()
snapshot = snapshot.filter_traces(
(
tracemalloc.Filter(False, "<frozen importlib._bootstrap>"),
tracemalloc.Filter(False, "<frozen importlib._bootstrap_external>"),
tracemalloc.Filter(False, "<unknown>"),
)
)
stats = snapshot.statistics('traceback')
total = sum(stat.size for stat in stats)
print("\nTotal allocated size: %.1f KiB\n" % (total / 1024))
print("Lines with the biggest net allocations")
for index, stat in enumerate(stats[:limit], 1):
print(
"#%d: %d objects using %.1f KiB"
% (index, stat.count, stat.size / 1024)
)
for line in stat.traceback.format(most_recent_first=True):
print(' ', line)
other = stats[limit:]
if other:
size = sum(stat.size for stat in other)
count = sum(stat.count for stat in other)
print(
"%s other: %d objects using %.1f KiB"
% (len(other), count, size / 1024)
)
print()