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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>
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@ -182,7 +182,7 @@ mean either that the record step recorded event types that it wasn't
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really interested in, or the script was run against a trace file that
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really interested in, or the script was run against a trace file that
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doesn't correspond to the script.
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doesn't correspond to the script.
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The script generated by -g option option simply prints a line for each
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The script generated by -g option simply prints a line for each
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event found in the trace stream i.e. it basically just dumps the event
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event found in the trace stream i.e. it basically just dumps the event
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and its parameter values to stdout. The print_header() function is
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and its parameter values to stdout. The print_header() function is
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simply a utility function used for that purpose. Let's rename the
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simply a utility function used for that purpose. Let's rename the
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@ -582,7 +582,7 @@ files:
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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
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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
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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
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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
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The *autodict* function returns a special special kind of Python
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The *autodict* function returns a special kind of Python
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dictionary that implements Perl's 'autovivifying' hashes in Python
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dictionary that implements Perl's 'autovivifying' hashes in Python
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i.e. with autovivifying hashes, you can assign nested hash values
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i.e. with autovivifying hashes, you can assign nested hash values
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without having to go to the trouble of creating intermediate levels if
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without having to go to the trouble of creating intermediate levels if
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