[pypy-svn] r27934 - pypy/extradoc/talk/dls2006

pedronis at codespeak.net pedronis at codespeak.net
Tue May 30 18:58:22 CEST 2006

Author: pedronis
Date: Tue May 30 18:58:21 2006
New Revision: 27934

insert XXX as needed

Modified: pypy/extradoc/talk/dls2006/paper.tex
--- pypy/extradoc/talk/dls2006/paper.tex	(original)
+++ pypy/extradoc/talk/dls2006/paper.tex	Tue May 30 18:58:21 2006
@@ -37,7 +37,7 @@
 such area.  Building implementations of general programming languages,
 in particular highly dynamic ones, using a classic direct coding
 approach, is typically a long-winded effort and produces a result that
-is quite [quite could be removed here?] tailored to a specific
+is quite [XXX quite could be removed here?] tailored to a specific
 platform and where architectural decisions (e.g. about GC) are spread
 across the code in a pervasive and invasive way.
@@ -211,10 +211,10 @@
 We have implemented other transformations as well, e.g. performing
 various optimizations, or turning the whole code into a
-continuation-passing style (CPS) [I'm not sure our transformation
+continuation-passing style (CPS) [XXX I'm not sure our transformation
 can be classified as classical CPS, although there are known similar techniques but the terminology is quite confused] that allows us to use coroutines
 without giving up the ability to generate fully ANSI C code.  (This will
-be the subject of another paper.)  [mention exception transformer too]
+be the subject of another paper.)  [XXX mention exception transformer too]
 Finally, currently under development is a variant of the very first
 transformation step, for use when targeting higher-level,
@@ -296,7 +296,7 @@
 written in plain Python, and it manipulates "objects" that are still at
 a lower level: pointer and address objects.  Even with the restriction
 of having to use pointer-like and address-like objects, Python remains
-more expressive than, say, C to write a GC.  [see also Jikes]
+more expressive than, say, C to write a GC.  [XXX see also Jikes]
 In the sequel, we will call \textit{system code} functions written in
 Python that are meant to be analysed by the front-end.  For the

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