Current File : //opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/testing/profiling.pyc
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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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d � Z RS( s� "Store per-platform/fn profiling results in a file.
We're still targeting Py2.5, 2.4 on 0.7 with no dependencies,
so no json lib :( need to roll something silly
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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�������?c s � 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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