ÿØÿàJFIFÿþ ÿÛC       ÿÛC ÿÀÿÄÿÄ"#QrÿÄÿÄ&1!A"2qQaáÿÚ ?Øy,æ/3JæݹÈ߲؋5êXw²±ÉyˆR”¾I0ó2—PI¾IÌÚiMö¯–þrìN&"KgX:Šíµ•nTJnLK„…@!‰-ý ùúmë;ºgµŒ&ó±hw’¯Õ@”Ü— 9ñ-ë.²1<yà‚¹ïQÐU„ہ?.’¦èûbß±©Ö«Âw*VŒ) `$‰bØԟ’ëXÖ-ËTÜíGÚ3ð«g Ÿ§¯—Jx„–’U/ÂÅv_s(Hÿ@TñJÑãõçn­‚!ÈgfbÓc­:él[ðQe 9ÀPLbÃãCµm[5¿ç'ªjglå‡Ûí_§Úõl-;"PkÞÞÁQâ¼_Ñ^¢SŸx?"¸¦ùY騐ÒOÈ q’`~~ÚtËU¹CڒêV  I1Áß_ÿÙ 4]c@sdZddlZddlZddlZddlZddlZddlmZddlm Z ddlm Z ddlm Z dd lm Z dd lm Z yddlZWnek rdZnXdZdZd efd YZd dZejd dZdS(sProfiling 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. iNi(tconfig(t gc_collecti(tjython(tpypy(tupdate_wrapper(twin32tProfileStatsFilecBs\eZdZdZedZdZdZdZdZ dZ dZ RS( s"Store per-platform/fn profiling results in a file. 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Run tests with --write-profiles to add statistics to %s for this platform.tstreamsPstats calls: %d Expected %st cumulativesAdjusted function call count %s not within %s%% of expected %s, platform %s. Rerun with --write-profiles to regenerate this callcount.id(tcProfileR Rt_skip_test_exceptiont_profile_statsR9Rt skip_testRRtProfiletenabletdisabletpstatstStatsR)tstdoutt total_callsRBt sort_statst print_statsRLtabsRRCtAssertionErrorR6( RYtprtstatsR>texpectedtexpected_counttline_notdeviancetfailed((sO/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/testing/profiling.pyRZs@           (RWRt contextlibRRjR)R RtutilRRRRRRct ImportErrorR R7RetobjectRR`tcontextmanagerRZ(((sO/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/testing/profiling.pyt s*