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

interfaces: move peer `capabilities()` to the `ipeercapabilities` interface...

interfaces: move peer `capabilities()` to the `ipeercapabilities` interface I'm not sure why this was on the `ipeercommands` interface. It appears to be because these interfaces started out as `_basewirecommands` to hold wire commands, back in 558f5b2ee10e. The capabilities interface wasn't split out until 98861a2298b5, when it pulled the capability related methods off of the `ipeerbase` interface. Perhaps it was an oversight to not look at the commands interface because, while this is a wire command, both `sshpeer` and `httppeer` now perform a handshake while instantiating the peer object, and cache a fixed list of capabilities in that object. Likewise, `localpeer` is given a fixed set of capabilities when instantiated. Back in 558f5b2ee10e, `httppeer` looks like it issued a wire command when this method was called, but `sshpeer` obtained and cached the capabilities when instantiated, and this method always returned a fixed value. There's a perfectly good interface with other capability related methods, and having it here makes it easier to implement the base `peer` mixin class.

Matt Harbison - - 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.

      from __future__ import annotations

      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.

				from __future__ import annotations

				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()