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

typing: lock in new pytype gains from making revlog related classes typeable...

typing: lock in new pytype gains from making revlog related classes typeable These were pretty clean changes in the pyi files from earlier in this series, so add them to the code to make it more understandable. There's one more trivial hint that can be added to the return of `mercurial.revlogutils.rewrite._filelog_from_filename()`, however it needs to be imported from '..' under the conditional of `typing.TYPE_CHECKING`, and that seems to confuse the import checker- possibly because there's already an import block from that level. (I would have expected a message about multiple import statements in this case, but got one about higher level imports should come first, no matter where I put the import statement.)

Joerg Sonnenberger - - Load All Authors

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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()