etjE(dZddlmZddlZddlZddlZddlZddlZddlZddl Z ddl m Z ddl m Z ddl mZdd l mZ ddlZn #e$rdZYnwxYwdZ da d ZGd d ZddZejddZdS)zProfiling 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. ) annotationsN)config) gc_collect) freethreading)has_compiled_extcX|atjrtdSdSN) _current_test_profile_stats force_write reset_count)id_s Z/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/sqlalchemy/testing/profiling.py_start_current_testr6s4M!%""$$$$$%%cZeZdZdZd dZedZdZdZdZ d Z d Z d Z d Z dS)ProfileStatsFilezStore per-platform/fn profiling results in a file. 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. cumulativeNctjduotjj|_|jptjduotjj|_t j||_ t j |j d|_ tj d|_||_||_||jr|dSdS)Nc4tjtSr ) collections defaultdictdictrrz+ProfileStatsFile.__init__..QsK+D11r)roptionsforce_write_profilesrwrite_profileswriteospathabspathfnamesplit short_fnamerrdatadumpsort_read_write)selffilenamer+r*s r__init__zProfileStatsFile.__init__Gs N$ & N6>+N % N$ & H6>+H W__X.. 7==44R8+ 1 1      :  KKMMMMM  rctjjdztjjz}tjjjr|dz }tjjdkr8tjjtjjr|dz }ddtj ddD}tr|d z }tj tjtj||g}|d t%}||rd pd d|S) N__asyncsqlite_file.c,g|]}t|Srstr).0vs r z1ProfileStatsFile.platform_key..gsEEE!s1vvEEErrrt dbapiunicode cextensions nocextensions)rdbnamedriverdialectis_async_is_url_file_dburljoinsys version_inforplatformmachinesystemlowerpython_implementationappendr )r. dbapi_key py_versionplatform_tokens _has_cexts r platform_keyzProfileStatsFile.platform_key[sKINS(69+;; 9  % "  !I 9>X % %&)*;*K*K IM+ + %  IXXEEs/?!/DEEEFF   # J     O   # # % %  * , , 2 2 4 4     ~...$&& y:]MoNNNxx(((rcJt}||jvo|j|j|vSr r r)rU)r.test_keys r has_statszProfileStatsFile.has_statsxs*   ! Nd&749X;N&N rcht}|j|}||j}d|vrgx|d<}n|d}d|vrdx|d<}n|d}t||k}|s3|||jr|d}n|d||f}|dxxdz cc<|S)Ncounts current_countrlinenor)r r)rUlenrPr"r-) r. callcountrXper_fn per_platformr[r\ has_countresults rrczProfileStatsFile.result~s 8$d/0 < ' '.0 0L "VV!(+F , . .<= =L )MM(9MKK-/  C MM) $ $ $z  FF!(+VM-BBF_%%%*%%% rct}||jvrdS|j|}|j|vrdS||j}d|vrg|ddd<dSdS)Nr[rW)r.rXr`ras rrzProfileStatsFile.reset_countss  49 $ $ F8$  F * * Fd/0 | # #(*L "111 % % % $ #rct}|j|}||j}|d}|d}|t|kr |||dz <n||d<|jr|dSdS)Nr[r\rr)r r)rUr^r"r-)r.r_rXr`rar[r\s rreplacezProfileStatsFile.replaces 8$d/0 h'$_5 3v;; & &(1F=1$ % %"F2J :  KKMMMMM  rcd|jzS)Na # %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. # )r&)r.s r_headerzProfileStatsFile._headers Z! rc t|j}n#t$rYdSwxYwt|D]\}}|}|r|dr1|\}}}|j|}||}d|dD} | |d<|dz|d<d|d<|dS) N#c,g|]}t|Sr)intr:counts rr<z*ProfileStatsFile._read..s;;;U;;;r,r[rr]rr\) openr&OSError enumeratestrip startswithr'r)close) r. profile_fr]linerXrUr[r`racs rr,zProfileStatsFile._reads TZ((II    FF %i00 . .LFD::<z*ProfileStatsFile._write..s(LLESZZLLLLLLrr[  ) printr&rpr"rhsortedr)rHru)r.rvrXr`rUrarxs rr-zProfileStatsFile._writes '$*4555S))  '''ty)) L LHYx(F OO.9 : : : &v L L %l3 HHLL\(5KLLLLL,,, JKKKK L r)rN)__name__ __module__ __qualname____doc__r0propertyrUrYrcrrfrhr,r-rrrrr>s())X)8   6 + + +   &&     rr皙?c6ddlm}|fd}|S)aAssert 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. r) decoratorct D] }||i| t}t5|D] }||i|} |cdddS#1swxYwYdS)N)variance)rangecount_functions) fnargskwwarm timerangetimervtimesrwarmups rwrapz!function_call_count..wraps&MM  D BOOOOO%LL h / / /  ! % %R___                  sAAA)sqlalchemy.utilr)rrrrrs``` rfunction_call_countrsM*)))))Y Krc #Kttjdts-tjs!tjdtjzttj }| dV| tj |tj}|j}t|}|d}n|\}}t%d||fz|jt)jdtj|tjr~t2jtj\}}t8dd} |d| |pd } || t%d | ztjrt|dS|r{tA||z} tC||z | k} | rStjrt|dStEd |d |d zd|dtj#d dSdS)NzcProfile is not installedzNo profiling stats available on this platform for this function. Run tests with --write-profiles to add statistics to %s for this platform.)streamzPstats calls: %d Expected %sz[, ]r6rr2z.profilezDumped stats to file %szAdjusted function call count z not within dz% of expected z , platform z;. Rerun with --write-profiles to regenerate this callcount.)$cProfiler_skip_test_exceptionr rYr" skip_testr(rProfileenabledisablepstatsStatsrIstdout total_callsrcr sort_statsrer'r+ print_statsr*r#r$splitextr dump_statsrrfrlabsAssertionErrorrU) rprstatsr_expectedexpected_countline_nobaseext test_namedumpfiledeviancefaileds rrrs)*EFFF  # # % % n.B   .9 :   LLL    BIIKKK EEEJJLLL LCJ / / /E!I$$Y//H"* (I~+F FGGGEbhw(;<<== 4G$$^%899 c!'',,R0 $ii1B 1BC """ '(2333!y))))) y8+,,Y/008;  # &&y11111$n " !C&&333      r)rrr)r)r __future__rr contextlibr#rKrrrIrutilrrr r ImportErrorr r rrrcontextmanagerrrrrrs#"""""   ######OOOOHHH %%%ffffffffR> AAAAAAsAA  A