upstream/mercurial-mirror Files · mercurial/thirdparty/attr/_config.py

persistent-nodemap: properly ignore non-existent `.nd` data file...

persistent-nodemap: properly ignore non-existent `.nd` data file This code was meant to handle the case of a nodemap docket file pointing to a nodemap data file that doesn’t exist (anymore), but most likely caused an `UnboundLocalError` exception instead when `data` was used on the next line without being defined. This case is theoretically possible with a race condition between two hg processes, but is hard to reproduce or test: * Process A reads a docket file and finds a UID in it that points to a given data file name. * Process B decides that this same data file needs compacting. It writes a new one with a different UID, overwrites the docket file, then removes the old data file. * Only then process A tries to a open a file that doesn’t exist anymore. Differential Revision: https://phab.mercurial-scm.org/D9533

Siddharth Agarwal - - Load All Authors

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      from __future__ import absolute_import, division, print_function

      __all__ = ["set_run_validators", "get_run_validators"]

      _run_validators = True

      def set_run_validators(run):

          """

          Set whether or not validators are run.  By default, they are run.

          """

          if not isinstance(run, bool):

              raise TypeError("'run' must be bool.")

          global _run_validators

          _run_validators = run

      def get_run_validators():

          """

          Return whether or not validators are run.

          """

          return _run_validators

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				from __future__ import absolute_import, division, print_function


				__all__ = ["set_run_validators", "get_run_validators"]

				_run_validators = True


				def set_run_validators(run):
				"""
				Set whether or not validators are run. By default, they are run.
				"""
				if not isinstance(run, bool):
				raise TypeError("'run' must be bool.")
				global _run_validators
				_run_validators = run


				def get_run_validators():
				"""
				Return whether or not validators are run.
				"""
				return _run_validators