[tor-commits] [stem/master] Adjusting benchmark for parsing with compression

[atagar@xxxxxxxxxxxxxx]

commit af08b679715d8046aafcea89494d5bc4e0e96407
Author: Damian Johnson <atagar@xxxxxxxxxxxxxx>
Date:   Fri Jan 22 08:46:56 2016 -0800

    Adjusting benchmark for parsing with compression
    
    Earlier I adjusted Stem's benchmarks for when calling parse_file() rather than
    the DescriptorReader. This was a ~5% improvement but I didn't have a number for
    compression so I left it as-is. This, however, made it look like the
    compression delta for python is particularly bad. Subtracting the flat overhead
    for the DescriptorReader from that benchmark...
    
      uncompressed consensus: 876.09 -> 865.72 (-10.37ms)
      compressed consensus: 913.12 -> 902.75
---
 docs/tutorials/mirror_mirror_on_the_wall.rst |    2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/tutorials/mirror_mirror_on_the_wall.rst b/docs/tutorials/mirror_mirror_on_the_wall.rst
index e5b423e..3f80db0 100644
--- a/docs/tutorials/mirror_mirror_on_the_wall.rst
+++ b/docs/tutorials/mirror_mirror_on_the_wall.rst
@@ -310,7 +310,7 @@ Few things to note about these benchmarks...
 * Metrics-lib and Stem can both read from compressed tarballs at a small
   performance cost. For instance, Metrics-lib can read an `lzma compressed
   <../faq.html#how-do-i-read-tar-xz-descriptor-archives>`_ consensus in
-  **255.76 ms** and Stem can do it in **913.12 ms**.
+  **255.76 ms** and Stem can do it in **902.75 ms**.
 
 So what does code with each of these look like?
 

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