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Modified Tue Oct 30 15:11:18 2007 UTC (16 years, 5 months ago) by pje
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Packaging cleanups for Cheeseshop registration.

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Modified Fri Oct 26 02:24:37 2007 UTC (16 years, 5 months ago) by pje
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Trim obsolete docs, add 2.3/2.4 compat docs to dev guide.

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Modified Sat Feb 24 05:37:44 2007 UTC (17 years, 1 month ago) by pje
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Major API overhaul.  Service classes now act like peak.binding.Singletons,
in that the class itself is a proxy for the current instance.  This
eliminates the need for two names to refer to the "same" object.  Settings
are now created with decorators, the module is peak.context instead of
peak.util.context, and many many other changes.  And there are still more
to come, but mostly additions and some tweaks to how the App context works.

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Modified Thu Jul 20 02:31:46 2006 UTC (17 years, 8 months ago) by pje
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Use ProxyTypes' proxy types instead of defining local ones.

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Modified Thu Jul 20 02:26:24 2006 UTC (17 years, 8 months ago) by pje
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Begin re-org of tests/doc

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Modified Wed Jul 19 01:30:06 2006 UTC (17 years, 8 months ago) by pje
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Updated for PEP 343 changes in Python 2.5.  If you want to have a 
working __context__ method, you now have to use the 
context.delegated_enter and context.delegated_exit functions as your 
__enter__ and __exit__ methods.  This is due to Python 2.5 dropping 
support for the __context__ method.  :(

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Modified Tue Mar 28 15:43:37 2006 UTC (18 years ago) by pje
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Update to reflect the latest PEP 343 semantics, as implemented for 
Python 2.5 alpha 1.

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Modified Mon Nov 21 04:08:02 2005 UTC (18 years, 4 months ago) by pje
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Rough draft of context.Namespace, which is somewhat similar
to a PEAK property namespace.

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Added Sun Nov 13 01:17:01 2005 UTC (18 years, 4 months ago) by pje
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Initial draft of the "Contextual" library, peak.util.context.  This
library offers a variety of tools for dynamic context management,
roughly equivalent to a subset of peak.config and peak.binding, but
with far less code, complexity, and coupling.  The contextual tools
can be used without interfaces, components, or component hierarchies,
and provide a more dynamic concept of operations than ServiceArea.
In addition, the Context tools are thread-safe, even for generator-based
pseudothreads.  Python 2.4 is required.

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