[Python-checkins] peps: PEP 509: reformat to 72 columns
victor.stinner
python-checkins at python.org
Mon Jan 11 10:27:52 EST 2016
https://hg.python.org/peps/rev/37799262bc35
changeset: 6161:37799262bc35
user: Victor Stinner <victor.stinner at gmail.com>
date: Mon Jan 11 16:27:47 2016 +0100
summary:
PEP 509: reformat to 72 columns
files:
pep-0509.txt | 22 ++++++++++++----------
1 files changed, 12 insertions(+), 10 deletions(-)
diff --git a/pep-0509.txt b/pep-0509.txt
--- a/pep-0509.txt
+++ b/pep-0509.txt
@@ -113,24 +113,26 @@
Pyjion
------
-According of Brett Cannon, one of the two main developers of Pyjion, Pyjion can
-also benefit from dictionary version to implement optimizations.
+According of Brett Cannon, one of the two main developers of Pyjion,
+Pyjion can also benefit from dictionary version to implement
+optimizations.
-Pyjion is a JIT compiler for Python based upon CoreCLR (Microsoft .NET Core
-runtime).
+Pyjion is a JIT compiler for Python based upon CoreCLR (Microsoft .NET
+Core runtime).
Unladen Swallow
---------------
-Even if dictionary version was not explicitly mentionned, optimization globals
-and builtins lookup was part of the Unladen Swallow plan: "Implement one of the
-several proposed schemes for speeding lookups of globals and builtins."
-Source: `Unladen Swallow ProjectPlan
+Even if dictionary version was not explicitly mentionned, optimization
+globals and builtins lookup was part of the Unladen Swallow plan:
+"Implement one of the several proposed schemes for speeding lookups of
+globals and builtins." Source: `Unladen Swallow ProjectPlan
<https://code.google.com/p/unladen-swallow/wiki/ProjectPlan>`_.
-Unladen Swallow is a fork of CPython 2.6.1 adding a JIT compiler implemented
-with LLVM. The project stopped in 2011: `Unladen Swallow Retrospective
+Unladen Swallow is a fork of CPython 2.6.1 adding a JIT compiler
+implemented with LLVM. The project stopped in 2011: `Unladen Swallow
+Retrospective
<http://qinsb.blogspot.com.au/2011/03/unladen-swallow-retrospective.html>`_.
--
Repository URL: https://hg.python.org/peps
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