upstream/mercurial-mirror Files · mercurial/utils/memorytop.py

run-tests: introduce a --pyoxidized option...

run-tests: introduce a --pyoxidized option This options make it possible to use the pyoxidizer version to run the tests. This is a first basic version that is windows only. The test needs a working python, with Mercurial installed. However the pyoxidizer product is "self contains" without a "usable" Python. There have been discussion to have a fully functional `hg admin::python` command providing a fully functional python interpreter, but nothing is of the sort is ready yet. In In the meantime we use an hybrid approach, similar to what we do for testing `rhg`. We install a full "normal" Mercurial, but also the pyxodizer product as the official `hg binary`. That way, we use the pyoxidizer version or everything, but test that needs to run python have it available, with a fully functional Mercurial package. This first version is pretty basic (Windows only, no --local, not --with-pyoxidized), but it runs, various bug that we will have to fix. Differential Revision: https://phab.mercurial-scm.org/D11277

Joerg Sonnenberger - - Load All Authors

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             memorytop.py
        
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      # 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()

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				# 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()