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diff for duplicates of <200702152203.59902.arnd@arndb.de>

diff --git a/a/1.txt b/N1/1.txt
index 7d3d86c..c5dafcb 100644
--- a/a/1.txt
+++ b/N1/1.txt
@@ -1,18 +1,18 @@
 On Thursday 15 February 2007 21:21, Carl Love wrote:
 
-> I have done some quick measurements. =A0The above method limits the loop
-> to at most 2^16 iterations. =A0Based on running the algorithm in user
+> I have done some quick measurements.  The above method limits the loop
+> to at most 2^16 iterations.  Based on running the algorithm in user
 > space, it takes about 3ms of computation time to do the loop 2^16 times.
->=20
+> 
 > At the vary least, we need to put the resched in say every 10,000
-> iterations which would be about every 0.5ms. =A0Should we do a resched
-> more often? =A0
+> iterations which would be about every 0.5ms.  Should we do a resched
+> more often?  
 
 Yes, just to be on the safe side, I'd suggest to do it every 1000
 iterations.
-=20
+ 
 > Additionally we could up the size of the table to 512 which would reduce
-> the maximum time to about 1.5ms. =A0What do people think about increasing
+> the maximum time to about 1.5ms.  What do people think about increasing
 > the table size?
 
 No, that won't help too much. I'd say 256 or 128 entries is the most
@@ -22,11 +22,11 @@ we should have.
 > approach means that the space between the precomputed values at the high
 > end would be much larger then 2^14, assuming 256 precomputed values.
 > That means it could take much longer then 3ms to get the needed LFSR
-> value for a large N. =A0By evenly spacing the precomputed values, we can
+> value for a large N.  By evenly spacing the precomputed values, we can
 > ensure that for all N it will take less then 3ms to get the value.
 > Personally, I am more comfortable with a hard limit on the compute time
 > then a variable time that could get much bigger then the 1ms threshold
-> that Arnd wants for resched. =A0Any thoughts?
+> that Arnd wants for resched.  Any thoughts?
 
 When using precomputed values on a logarithmic scale, I'd recommend
 just rounding to the closest value and accepting the relative inaccuracy,
diff --git a/a/content_digest b/N1/content_digest
index e2145ca..79d1594 100644
--- a/a/content_digest
+++ b/N1/content_digest
@@ -5,27 +5,27 @@
  "Subject\0Re: [Cbe-oss-dev] [RFC, PATCH] CELL Oprofile SPU profiling updated\tpatch\0"
  "Date\0Thu, 15 Feb 2007 22:03:59 +0100\0"
  "To\0Carl Love <cel@us.ibm.com>\0"
- "Cc\0linuxppc-dev@ozlabs.org"
-  cbe-oss-dev@ozlabs.org
-  oprofile-list@lists.sourceforge.net
- " linux-kernel@vger.kernel.org\0"
+ "Cc\0cbe-oss-dev@ozlabs.org"
+  linuxppc-dev@ozlabs.org
+  linux-kernel@vger.kernel.org
+ " oprofile-list@lists.sourceforge.net\0"
  "\00:1\0"
  "b\0"
  "On Thursday 15 February 2007 21:21, Carl Love wrote:\n"
  "\n"
- "> I have done some quick measurements. =A0The above method limits the loop\n"
- "> to at most 2^16 iterations. =A0Based on running the algorithm in user\n"
+ "> I have done some quick measurements. \302\240The above method limits the loop\n"
+ "> to at most 2^16 iterations. \302\240Based on running the algorithm in user\n"
  "> space, it takes about 3ms of computation time to do the loop 2^16 times.\n"
- ">=20\n"
+ "> \n"
  "> At the vary least, we need to put the resched in say every 10,000\n"
- "> iterations which would be about every 0.5ms. =A0Should we do a resched\n"
- "> more often? =A0\n"
+ "> iterations which would be about every 0.5ms. \302\240Should we do a resched\n"
+ "> more often? \302\240\n"
  "\n"
  "Yes, just to be on the safe side, I'd suggest to do it every 1000\n"
  "iterations.\n"
- "=20\n"
+ " \n"
  "> Additionally we could up the size of the table to 512 which would reduce\n"
- "> the maximum time to about 1.5ms. =A0What do people think about increasing\n"
+ "> the maximum time to about 1.5ms. \302\240What do people think about increasing\n"
  "> the table size?\n"
  "\n"
  "No, that won't help too much. I'd say 256 or 128 entries is the most\n"
@@ -35,11 +35,11 @@
  "> approach means that the space between the precomputed values at the high\n"
  "> end would be much larger then 2^14, assuming 256 precomputed values.\n"
  "> That means it could take much longer then 3ms to get the needed LFSR\n"
- "> value for a large N. =A0By evenly spacing the precomputed values, we can\n"
+ "> value for a large N. \302\240By evenly spacing the precomputed values, we can\n"
  "> ensure that for all N it will take less then 3ms to get the value.\n"
  "> Personally, I am more comfortable with a hard limit on the compute time\n"
  "> then a variable time that could get much bigger then the 1ms threshold\n"
- "> that Arnd wants for resched. =A0Any thoughts?\n"
+ "> that Arnd wants for resched. \302\240Any thoughts?\n"
  "\n"
  "When using precomputed values on a logarithmic scale, I'd recommend\n"
  "just rounding to the closest value and accepting the relative inaccuracy,\n"
@@ -48,4 +48,4 @@
  "\n"
  "\tArnd <><"
 
-0bfff9b74380a1ccfee943ac46b7d46278ffb71b4690bc12bfe870fae22e92ad
+788d579856289229ffc753d2182d64879e890ded9b31bcaebac6e85374a587b9

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