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authorLars Wirzenius <liw@liw.fi>2011-02-09 10:56:09 +0000
committerLars Wirzenius <liw@liw.fi>2011-02-09 10:56:09 +0000
commit2c93c1a206a3e526cc43d5ff9c6eaec09ee4187e (patch)
treed79e841b23c96f5796b6ed5ba473c9d43a86aa5a /README
parentb6639450597a10cefd10d58022530bcf23cdb704 (diff)
downloadlarch-2c93c1a206a3e526cc43d5ff9c6eaec09ee4187e.tar.gz
Update README.
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@@ -22,7 +22,7 @@ for on-disk storage.
Documentation is sparse. Docstrings and reading the code are your best hope.
(Help and feedback welcome!)
-See the file speed-test for an example.
+See the file example.py for an example.
* Homepage: <http://liw.fi/btree/>
* Version control: `bzr get http://code.liw.fi/btree/bzr/trunk/`
@@ -69,8 +69,8 @@ parts of the code.
I have three scripts to run simplistic benchmarks:
-* `codec-speed` tests speed of the NodeCodec class, for encoding tree nodes
- for on-disk storage.
+* `codec-speed 1000 no` tests speed of the NodeCodec class,
+ for encoding tree nodes for on-disk storage.
* `speed-test` tests insert and lookup speeds in trees.
* `bsearch-speed` compares my binary search routine with the one in the
Python standard library module `bisect` (mine is slower, but more