grthtrhthjhtyjytjytkergtrhtrjytjerhrfh4:24 29/09/2026+ ôOã2A±ãóœ€Rt^RIt^RIt^RIt^RIt^RIt.R Ot!RR4tR Rlt R Rlt !RR4t Rt ] R 8Xd ] !4R#R#) z Class for profiling Python code.NÚProfilecó<a€]tRt^*toRtRtRtRtRtRt Vt R#)Ú_Utilsz~Support class for utility functions which are shared by profile.py and cProfile.py modules. Not supposed to be used directly. có€WnR#©N©Úprofiler)Úselfrs&&Ú./opt/alt/python314/lib64/python3.14/profile.pyÚ__init__Ú_Utils.__init__0s€Ø Ž ócó¾€VP4pVPV4VPWBV4R# \dL!i;i TPYBT4i;ir)rÚrunÚ SystemExitÚ_show)r Ú statementÚfilenameÚsortÚprofs&&&& r rÚ _Utils.run3sS€Ø�}‰}‹ˆð -Ø �H‰H�YÔ ð �J‰J�t tÖ ,øôô Ù ð ûð �J‰J�t tÕ ,ús!’7· AÁAÁAÁAÁAcóÀ€VP4pVPWV4VPWdV4R# \dL!i;i TPYdT4i;ir)rÚrunctxrr)r rÚglobalsÚlocalsrrrs&&&&&& r rÚ _Utils.runctx<sU€Ø�}‰}‹ˆð -Ø �K‰K˜ ¨FÔ 3ð �J‰J�t tÖ ,øôô Ù ð ûð �J‰J�t tÕ ,ús!’8¸ AÁA ÁAÁA Á AcóV€VeVPV4R#VPV4R#r)Ú dump_statsÚ print_stats)r rrrs&&&&r rÚ _Utils._showEs"€Ø Ò Ø �O‰O˜HÖ %à × Ñ ˜TÖ "r rN) Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__Ú__doc__r rrrÚ__static_attributes__Ú__classdictcell__©Ú __classdict__s@r rr*s#ø‡€ñò !ò-ò-÷#ð#r rcó@€\\4PWV4#)aâRun statement under profiler optionally saving results in filename This function takes a single argument that can be passed to the "exec" statement, and an optional file name. In all cases this routine attempts to "exec" its first argument and gather profiling statistics from the execution. If no file name is present, then this function automatically prints a simple profiling report, sorted by the standard name string (file/line/function-name) that is presented in each line. )rrr)rrrs&&&r rrQs€ô ”'‹?× Ñ ˜y°DÓ 9Ð9r cóB€\\4PWW#V4#)z«Run statement under profiler, supplying your own globals and locals, optionally saving results in filename. statement and filename have the same semantics as profile.run )rrr)rrrrrs&&&&&r rr^s€ô ”'‹?× !Ñ ! )°fÈÓ MÐMr c óöa€]tRt^gtoRt^tR#RltRtRtRt Rt Rt R t R t R tR ] R ] R]R] R]R]/tRt!RR4t!RR4tRtRtR$RltRtRtRtRtRtRtR%R ltR!tR"tVtR#)&ra�Profiler class. self.cur is always a tuple. Each such tuple corresponds to a stack frame that is currently active (self.cur[-2]). The following are the definitions of its members. We use this external "parallel stack" to avoid contaminating the program that we are profiling. (old profiler used to write into the frames local dictionary!!) Derived classes can change the definition of some entries, as long as they leave [-2:] intact (frame and previous tuple). In case an internal error is detected, the -3 element is used as the function name. [ 0] = Time that needs to be charged to the parent frame's function. It is used so that a function call will not have to access the timing data for the parent frame. [ 1] = Total time spent in this frame's function, excluding time in subfunctions (this latter is tallied in cur[2]). [ 2] = Total time spent in subfunctions, excluding time executing the frame's function (this latter is tallied in cur[1]). [-3] = Name of the function that corresponds to this frame. [-2] = Actual frame that we correspond to (used to sync exception handling). [-1] = Our parent 6-tuple (corresponds to frame.f_back). Timing data for each function is stored as a 5-tuple in the dictionary self.timings[]. The index is always the name stored in self.cur[-3]. The following are the definitions of the members: [0] = The number of times this function was called, not counting direct or indirect recursion, [1] = Number of times this function appears on the stack, minus one [2] = Total time spent internal to this function [3] = Cumulative time that this function was present on the stack. In non-recursive functions, this is the total execution time from start to finish of each invocation of a function, including time spent in all subfunctions. [4] = A dictionary indicating for each function name, the number of times it was called by us. Ncó,€/VnRVnRVnRVnVf VPpW nV'g/\ P ;VnVnVPVn M]WnVP4p\V4pV^8XdVPVn MVPVn V\3RlpWPnVP4VnVP#R4R# \dYnTPTn LLi;i)NÚcó€V!V!44#r©)ÚtimerÚsums&&r Úget_time_timerÚ(Profile.__init__..get_time_timer¯s€Ù™u›w›<Ð'r r)ÚtimingsÚcurÚcmdÚ c_func_nameÚbiasÚtimeÚ process_timer0Úget_timeÚtrace_dispatch_iÚ dispatcherÚlenÚtrace_dispatchÚtrace_dispatch_lr1Ú TypeErrorÚtÚ simulate_call)r r0r8rBÚlengthr2s&&& r r ÚProfile.__init__�sæ€ØˆŒ ؈ŒØˆŒØˆÔà Š<Ø—9‘9ˆDØŒ çÜ)-×):Ñ):Ð :ˆDŒJ˜œØ"×3Ñ3ˆD�OàŒJØ— ‘ “ ˆAð /ܘQ›�ð ˜Q”;Ø&*×&9Ñ&9�D•Oà&*×&;Ñ&;�D”Oð */´Cô(à .” Ø—‘“ˆŒØ ×ј:Ö&øô#ô 8Ø %” Ø"&×"7Ñ"7�–ð 8ús C.Ã."DÄDcó¬€VPpV!4pV^,V^,,VP, VP, pVR8XdVPVnVP V,!WV4'd&V!4pV^,V^,,VnR#V!4pV^,V^,,V, VnR#)éÚc_callN©r0rBr8r r7Údispatch)r ÚframeÚeventÚargr0rBÚrs&&&& r r?ÚProfile.trace_dispatch·s—€Ø— ‘ ˆÙ ‹GˆØ ˆa�D�1�Q•4�K˜$Ÿ&™&Õ  4§9¡9Õ ,ˆà �HÔ Ø"Ÿ|™|ˆDÔ à �=‰=˜Ö  ¨A× .Ò .Ù“ˆAØ�q•T˜A˜a�D•[ˆDŽFᓈAØ�q•T˜A˜a�D•[ 1•_ˆDŽFr có"€VPpV!4VP, VP, pVR8XdVPVnVP V,!WV4'dV!4VnR#V!4V, VnR#©rHNrI©r rKrLrMr0rBs&&&& r r<ÚProfile.trace_dispatch_iÉsd€Ø— ‘ ˆÙ ‹G�d—f‘fÕ ˜tŸy™yÕ (ˆà �HÔ Ø"Ÿ|™|ˆDÔ à �=‰=˜Ö  ¨Q× /Ò /Ù“WˆDŽFá“W˜q•[ˆDŽFr cóL€VPpV!4R, VP, VP, pVR8XdVPVnVP V,!WV4'dV!4R, VnR#V!4R, V, VnR#)gN@rHNrIrRs&&&& r Útrace_dispatch_macÚProfile.trace_dispatch_macØsq€Ø— ‘ ˆÙ ‹G�D�L˜4Ÿ6™6Õ ! D§I¡IÕ -ˆà �HÔ Ø"Ÿ|™|ˆDÔ à �=‰=˜Ö  ¨Q× /Ò /Ù“W˜T•\ˆDŽFá“W˜T•\ AÕ%ˆDŽFr có"€VPpV!4VP, VP, pVR8XdVPVnVP V,!WV4'dV!4VnR#V!4V, VnR#rQ)r;rBr8r r7rJ)r rKrLrMr;rBs&&&& r r@ÚProfile.trace_dispatch_læsd€Ø—=‘=ˆÙ ‹J˜Ÿ™Õ  $§)¡)Õ +ˆà �HÔ Ø"Ÿ|™|ˆDÔ à �=‰=˜Ö  ¨Q× /Ò /Ù“ZˆDŽFá“Z !•^ˆDŽFr có„€VPwr4rVrxWqJdV'dVPWr4#W4V,WVWx3Vn^#)é)r5Útrace_dispatch_return) r rKrBÚrptÚritÚretÚrfnÚrframeÚrcurs &&& r Útrace_dispatch_exceptionÚ Profile.trace_dispatch_exceptionùs@€Ø+/¯8©8Ñ(ˆ�#˜FØ Ó §TØ×-Ñ-¨fÓ8Ð 8ؘA�˜s¨Ð5ˆŒÙr cóì€VP'dæVPVPR,JdÅVPwr4rVrx\V\P4'g•VPVPJg QRVWwPWP34hVP V^4VPe<VPVPR,JgQRVPR,34hVP p V PV PV P3p V^^W¡VP3VnVPp W«9dWº,wrÍrïpWÍ^,WïV3Wº&^#^^^^/3Wº&^#)ézBad calléþÿÿÿéýÿÿÿ) r5Úf_backÚ isinstancerÚ fake_framer[Úf_codeÚ co_filenameÚco_firstlinenoÚco_namer4)r 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r¿ÚargsÚkws""*,r ÚruncallÚProfile.runcall®sM€Ø � ‰ ”T˜$“ZÔ Ü �Š�t—‘Ô'ð !Ù˜Ð$ Ñ$ä �NŠN˜4Õ øŒC�NŠN˜4Õ ús ¼AÁA2có¬€VP\Jd \R4hVPp^VnVP W4W0n# Y0ni;i)z&Subclasses must override .calibrate().)Ú __class__rrAr8Ú_calibrate_inner)r ÚmÚverboseÚ saved_biass&&& r Ú calibrateÚProfile.calibrateßsH€Ø �>‰>¤Ó (ÜÐDÓEÐ Eà—Y‘Yˆ ؈Œ ð #Ø×(Ñ(¨Ó4à"�Iø˜ �Iús ´A Á Acó¼€VPpRpV3RlpV!V4V!4pV!V4V!4pWv, pV'd \RV4\4p V!4pV PR\ 4\ 44V!4pWv, p V'd \RV 4Rp Rp V P P4F*wwrÞpwpppppVR 9gKV V, p V V, p K, V'd\RV 4\RV 4W±^,8wd\RV ,4hWÈ, R , V , pV'd \R V4V#) có.€\V4Fp^pK R#)rZN©Úrange)ÚnÚiÚxs& r Úf1Ú$Profile._calibrate_inner..f1ós€Ü˜1–X�Ø’ór có:€\V4F pV!^d4K R#)édNrÜ)rÕrárßs&& r r¶Ú#Profile._calibrate_inner..f÷s€Ü˜1–X�Ù�3–ór z elapsed time without profiling =zf(m)zelapsed time with profiling =gz!'CPU seconds' profiler reported =ztotal # calls =z internal error: total calls = %dg@z+mean stopwatch overhead per profile event =)r¶rá) r;Úprintrrrrr4r¼Ú ValueError)r rÕrÖr;rár¶Út0Út1Úelapsed_noprofileÚpÚelapsed_profileÚ total_callsÚ 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