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authorKirill Smelkov <kirr@mns.spb.ru>2010-05-13 14:39:25 +0400
committerArnaldo Carvalho de Melo <acme@redhat.com>2010-05-13 17:10:40 -0300
commit5d2be7cb198a0a6bc6088d3806fb7261b184ad89 (patch)
treee11dd579411edb020d9ef253e6d33164934aa63b /tools
parent2e6cdf996ba43ce0b090ffbf754f83e17362cd69 (diff)
perf trace scripts: Fix typos in perf-trace-python.txt
option option -> option special special -> special Signed-off-by: Kirill Smelkov <kirr@mns.spb.ru> Cc: Tom Zanussi <tzanussi@gmail.com> LKML-Reference: <1273747165-17242-1-git-send-email-kirr@mns.spb.ru> Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Diffstat (limited to 'tools')
-rw-r--r--tools/perf/Documentation/perf-trace-python.txt4
1 files changed, 2 insertions, 2 deletions
diff --git a/tools/perf/Documentation/perf-trace-python.txt b/tools/perf/Documentation/perf-trace-python.txt
index 864aac283a7b..693be804dd3d 100644
--- a/tools/perf/Documentation/perf-trace-python.txt
+++ b/tools/perf/Documentation/perf-trace-python.txt
@@ -182,7 +182,7 @@ mean either that the record step recorded event types that it wasn't
really interested in, or the script was run against a trace file that
doesn't correspond to the script.
-The script generated by -g option option simply prints a line for each
+The script generated by -g option simply prints a line for each
event found in the trace stream i.e. it basically just dumps the event
and its parameter values to stdout. The print_header() function is
simply a utility function used for that purpose. Let's rename the
@@ -582,7 +582,7 @@ files:
flag_str(event_name, field_name, field_value) - returns the string represention corresponding to field_value for the flag field field_name of event event_name
symbol_str(event_name, field_name, field_value) - returns the string represention corresponding to field_value for the symbolic field field_name of event event_name
-The *autodict* function returns a special special kind of Python
+The *autodict* function returns a special kind of Python
dictionary that implements Perl's 'autovivifying' hashes in Python
i.e. with autovivifying hashes, you can assign nested hash values
without having to go to the trouble of creating intermediate levels if