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� Z e j d d � � Z d S( s� Profiling support for unit and performance tests.
These are special purpose profiling methods which operate
in a more fine-grained way than nose's profiling plugin.
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There was no json module available when this was written, but now
the file format which is very deterministically line oriented is kind of
handy in any case for diffs and merges.
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# %s
# This file is written out on a per-environment basis.
# For each test in aaa_profiling, the corresponding function and
# environment is located within this file. If it doesn't exist,
# the test is skipped.
# If a callcount does exist, it is compared to what we received.
# assertions are raised if the counts do not match.
#
# To add a new callcount test, apply the function_call_count
# decorator and re-run the tests using the --write-profiles
# option - this file will be rewritten including the new count.
#
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g�������?i c sh d d l m } d d l m � d d l m � d d l m � | � � � � � � f d � � } | S( s� Assert a target for a test case's function call count.
The main purpose of this assertion is to detect changes in
callcounts for various functions - the actual number is not as important.
Callcounts are stored in a file keyed to Python version and OS platform
information. This file is generated automatically for new tests,
and versioned so that unexpected changes in callcounts will be detected.
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