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

interfaces: add the optional `bdiff.xdiffblocks()` method...

interfaces: add the optional `bdiff.xdiffblocks()` method PyCharm flagged where this was called on the protocol class in `mdiff.py` in the previous commit, but pytype completely missed it. PyCharm is correct here, but I'm committing this separately to highlight this potential problem- some of the implementations don't implement _all_ of the methods the others do, and there's not a great way to indicate on a protocol class that a method or attribute is optional- that's kinda the opposite of what static typing is about. Making the method an `Optional[Callable]` attribute works here, and keeps both PyCharm and pytype happy, and the generated `mdiff.pyi` and `modules.pyi` look reasonable. We might be getting a little lucky, because the method isn't invoked directly- it is returned from another method that selects which block function to use. Except since it is declared on the protocol class, every module needs this attribute (in theory, but in practice this doesn't seem to be checked), so the check for it on the module has to change from `hasattr()` to `getattr(..., None)`. We defer defining the optional attrs to the type checking phase as an extra precaution- that way it isn't an attr with a `None` value at runtime if someone is still using `hasattr()`. As to why pytype missed this, I have no clue. The generated `mdiff.pyi` even has the global variable typed as `bdiff: intmod.BDiff`, so uses of it really should comply with what is on the class, protocol class or not.

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()