ÿØÿà JFIF    ÿÛ „  ( %"1!%)+...383,7(-.+  -+++--++++---+-+-----+---------------+---+-++7-----ÿÀ  ß â" ÿÄ     ÿÄ H    !1AQaq"‘¡2B±ÁÑð#R“Ò Tbr‚²á3csƒ’ÂñDS¢³$CÿÄ   ÿÄ %  !1AQa"23‘ÿÚ   ? ôÿ ¨pŸªáÿ —åYõõ\?àÒü©ŠÄï¨pŸªáÿ —åYõõ\?àÓü©ŠÄá 0Ÿªáÿ Ÿå[úƒ ú®ði~TÁbqÐ8OÕpÿ ƒOò¤Oè`–RÂáœá™êi€ßÉ< FtŸI“öÌ8úDf´°å}“¾œ6  öFá°y¥jñÇh†ˆ¢ã/ÃÐ:ªcÈ "Y¡ðÑl>ÿ ”ÏËte:qž\oäŠe÷󲍷˜HT4&ÿ ÓÐü6ö®¿øþßèô Ÿ•7Ñi’•j|“ñì>b…þS?*Óôÿ ÓÐü*h¥£ír¶ü UãSç‚Ÿ[AÐaè[ûª•õ&õj?†Éö+EzP—WeÒírJFt ‘BŒ†Ï‡%#tE Øz ¥OÛ«!1›üä±Í™%ºÍãö]°î(–:@<‹ŒÊö×òÆt¦ãº+‡¦%ÌÁ²h´OƒJŒtMÜ>ÀÜÊw3Y´•牋4ǍýʏTì>œú=Íwhyë,¾Ôò×õ¿ßÊa»«þˆѪQ|%6ž™A õ%:øj<>É—ÿ Å_ˆCbõ¥š±ý¯Ýƒï…¶|RëócÍf溪“t.СøTÿ *Ä¿-{†çàczůŽ_–^XþŒ±miB[X±d 1,é”zEù»& î9gœf™9Ð'.;—™i}!ôšåîqêÛ٤ёý£½ÆA–àôe"A$˝Úsäÿ ÷Û #°xŸëí(l »ý3—¥5m! rt`†0~'j2(]S¦¦kv,ÚÇ l¦øJA£Šƒ J3E8ÙiŽ:cÉžúeZ°€¯\®kÖ(79«Ž:¯X”¾³Š&¡* ….‰Ž(ÜíŸ2¥ª‡×Hi²TF¤ò[¨íÈRëÉ䢍mgÑ.Ÿ<öäS0í„ǹÁU´f#Vß;Õ–…P@3ío<ä-±»Ž.L|kªÀê›fÂ6@»eu‚|ÓaÞÆŸ…¨ááå>åŠ?cKü6ùTÍÆ”†sĤÚ;H2RÚ†õ\Ö·Ÿn'¾ ñ#ºI¤Å´%çÁ­‚â7›‹qT3Iï¨ÖÚ5I7Ë!ÅOóŸ¶øÝñØôת¦$Tcö‘[«Ö³šÒ';Aþ ¸èíg A2Z"i¸vdÄ÷.iõ®§)¿]¤À†–‡É&ä{V¶iŽ”.Ó×Õÿ û?h¬Mt–íª[ÿ Ñÿ ÌV(í}=ibÔ¡›¥¢±b Lô¥‡piη_Z<‡z§èŒ)iÖwiÇ 2hÙ3·=’d÷8éŽ1¦¸c¤µ€7›7Ø ð\á)} ¹fËí›pAÃL%âc2 í§æQz¿;T8sæ°qø)QFMð‰XŒÂ±N¢aF¨…8¯!U  Z©RÊ ÖPVÄÀÍin™Ì-GˆªÅËŠ›•zË}º±ŽÍFò¹}Uw×#ä5B¤{î}Ð<ÙD é©¤&‡ïDbàÁôMÁ." ¤‡ú*õ'VŽ|¼´Úgllº¼klz[Æüï÷Aób‡Eÿ dÑ»Xx9ÃÜ£ÁT/`¼¸vI±Ýµ·Ë‚“G³þ*Ÿû´r|*}<¨îºœ @¦mÄ’M¹”.œ«Y–|6ÏU¤jç¥ÕÞqO ˜kDÆÁ¨5ÿ š;Њ¦¦€GÙk \ –Þ=â¼=SͧµªS°ÚÍpÜãQűÀõ¬?ÃÁ1Ñ•õZà?hóœ€ L¦l{Y*K˜Ù›zc˜–ˆâ ø+¾ ­-Ök¥%ùEÜA'}ˆ><ÊIè“bpÍ/qÞâvoX€w,\úªò6Z[XdÒæ­@Ö—€$òJí#é>'°Ú ôª˜<)4ryÙ£|óAÅn5žêŸyÒäMÝ2{"}‰–¤l÷ûWX\l¾Á¸góÉOÔ /óñB¤f¸çñ[.P˜ZsÊË*ßT܈§QN¢’¡¨§V¼(Üù*eÕ“”5T¨‹Âê¥FŒã½Dü[8'Ò¥a…Ú¶k7a *•›¼'Ò·\8¨ª\@\õ¢¦íq+DÙrmÎ…_ªæ»ŠÓœ¡¯’Ré9MÅ×D™lælffc+ŒÑ,ý™ÿ ¯þǤ=Å’Á7µ÷ÚÛ/“Ü€ñýã¼àí¾ÕÑ+ƒ,uµMâÀÄbm:ÒÎPæ{˜Gz[ƒ¯«® KHà`ßØŠéí¯P8Aq.C‰ à€kòpj´kN¶qô€…Õ,ÜNŠª-­{Zö’æû44‰sŽè‰îVíRœÕm" 6?³D9¡ÇTíÅꋇ`4«¸ÝÁô ï’ýorqКÇZ«x4Žâéþuïf¹µö[P ,Q£éaX±`PÉÍZ ¸äYúg üAx ’6Lê‚xÝÓ*äQ  Ï’¨hÍ =²,6ï#rÃ<¯–£»ƒ‹,–ê•€ aÛsñ'%Æ"®ÛüìBᝠHÚ3ß°©$“XnœÖ’î2ËTeûìxîß ¦å¿çÉ ðK§þ{‘t‚Ϋ¬jéîZ[ ”š7L¥4VÚCE×]m¤Øy”ä4-dz£œ§¸x.*ãÊÊ b÷•h:©‡¦s`BTÁRû¾g⻩‹jø sF¢àJøFl‘È•Xᓁà~*j¯ +(ÚÕ6-£¯÷GŠØy‚<Ç’.F‹Hœw(+)ÜÜâÈzÄäT§FߘãÏ;DmVœ3Àu@mÚüXÝü•3B¨òÌÁÛ<·ÃÜ z,Ì@õÅ·d2]ü8s÷IôÞ¯^Ç9¢u„~ëAŸï4«M? K]­ÅàPl@s_ p:°¬ZR”´›JC[CS.h‹ƒïËœ«Æ]–÷ó‚wR×k7X‰k›‘´ù¦=¡«‰¨¨Â')—71ó’c‡Ðúµ `é.{§p¹ój\Ž{1h{o±Ý=áUÊïGÖŒõ–-BÄm+AZX¶¡ ïHðæ¥JmÙ;…ä¡Ÿˆ¦ ° äšiÉg«$üMk5¤L“’çÊvïâï ,=f“"íἊ5ô¬x6{ɏžID0e¸vçmi'︧ºð9$ò¹÷*£’9ÿ ²TÔ…×>JV¥}Œ}$p[bÔ®*[jzS*8 ”·T›Í–ñUîƒwo$áè=LT™ç—~ô·¤ÈÚ$榍q‰„+´kFm)ž‹©i–ËqÞŠ‰à¶ü( ‚•§ •°ò·‡#5ª•µÊ﯅¡X¨šÁ*F#TXJÊ ušJVÍ&=iÄs1‚3•'fý§5Ñ<=[íÞ­ PÚ;ѱÌ_~Ä££8rÞ ²w;’hDT°>ÈG¬8Á²ÚzŽ®ò®qZcqJêäÞ-ö[ܘbň±çb“Š¶31²n×iƒðÕ;1¶þÉ ªX‰,ßqÏ$>•î íZ¥Z 1{ç൵+ƒÕµ¥°T$§K]á»Ûï*·¤tMI’ÂZbŽÕiÒ˜}bÓ0£ª5›¨ [5Ž^ÝœWøÂÝh° ¢OWun£¤5 a2Z.G2³YL]jåtì”ä ÁÓ‘%"©<ÔúÊ°sº UZvä‡ÄiÆÒM .÷V·™ø#kèýiíÌ–ª)µT[)BˆõÑ xB¾B€ÖT¨.¥~ð@VĶr#¸ü*åZNDŽH;âi ],©£öØpù(šºãö¼T.uCê•4@ÿ GÕÛ)Cx›®0ø#:ÏðFÒbR\(€€Ä®fã4Þ‰Fä¯HXƒÅ,†öEÑÔÜ]Öv²?tLÃvBY£ú6Êu5ÅAQ³1‘’¬x–HŒÐ‡ ^ ¸KwJôÖŽ5×CÚ¨vÜ«/B0$×k°=ðbÇ(Ï)w±A†Á† 11Í=èQšµ626ŒÜ/`G«µ<}—-Ö7KEHÈÉðóȤmݱû±·ø«Snmá=“ä«šmݱŸ¡¶~ó·“äUóJæúòB|E LêŽy´jDÔ$G¢þÐñ7óR8ýÒ…Ç› WVe#·Ÿ p·Fx~•ݤF÷0Èÿ K¯æS<6’¡WШ; ´ÿ ¥Êø\Òuî†åÝ–VNœkÒ7oòX¨Á­Ø÷FÎÑä±g÷ÿ M~Çî=p,X´ ÝÌÚÅ‹’ÃjÖ.ØöÏñ qïQ¤ÓZE†° =6·]܈ s¸>v•Ž^Ý\wq9r‰Î\¸¡kURÒ$­*‹Nq?Þª*!sŠÆ:TU_u±T+øX¡ ®¹¡,ÄâÃBTsÜ$Ø›4m椴zÜK]’’›Pƒ @€#â˜`é¹=I‡fiV•Ôî“nRm+µFPOhÍ0B£ €+¬5c v•:P'ÒyÎ ‰V~‚Ó†ÖuókDoh$å\*ö%Ю=£«…aȼ½÷Û.-½VŒŠ¼'lyî±1¬3ó#ÞE¿ÔS¤gV£m›=§\û"—WU¤ÚǼÿ ÂnÁGŒÃ ‚õN D³õNÚíŒÕ;HôyÄÈ©P¹Ä{:?R‘Ô¨âF÷ø£bÅó® JS|‚R÷ivýáâ€Æé¡è³´IئÑT!§˜•Øª‚¬â@q€wnïCWÄ@JU€ê¯m6]Ï:£âx'+ÒðXvÓ¦Úm=–´7œ $ì“B£~p%ÕŸUþ« N@¼üï~w˜ñø5®—'Ôe»¤5ã//€ž~‰Tþ›Å7•#¤× Íö pÄ$ùeåì*«ÓŠEØWEÈsßg ¦ûvžSsLpºÊW–âµEWöˬH; ™!CYõZ ÃÄf æ#1W. \uWâ\,\Çf j’<qTbên›Î[vxx£ë 'ö¨1›˜ÀM¼Pÿ H)ƒêêŒA7s,|F“ 꺸k³9Ìö*ç®;Ö!Ö$Eiž•¹ÒÚ†ýóéÝû¾ÕS®ó$’NÝäŸz¤5r¦ãÄÃD÷Üø!°ø‡Ô&@m™Ì^Ãä­d q5Lnÿ N;.6½·N|#ä"1Nƒx“ã<3('&ñßt  ~ªu”1Tb㫨9ê–›–bìd$ߣ=#ÕãÒmU¯eí$EFù5ýYô櫨æ왍Ǘ±ssM]·á¿0ÕåJRÓªîiƒ+O58ÖñªŠÒx" \µâá¨i’¤i —Ö ” M+M¤ë9‚‰A¦°Qõ¾ßøK~¼Ã‘g…Ö´~÷Ï[3GUœÒ½#…kàÔ®Ò”‰³·dWV‰IP‰Ú8u¹”E ÖqLj¾êÕCBš{A^Âß;–¨`¯¬ìö ˼ ×tìø.tƐm*n¨y4o&Àx¥n¦×î‡aupáÛj8¿m›è¶ã!o½;ß0y^ý×^EÑ¿ÒjzŒ­)vÚÑnÄL …^ªô× ‡—‚3k Îý­hï]içå–îÏ*÷ñþ»Ô CÒjøjÍznˆ´ ¹#b'Fô‹ ‰v¥'’à'T´ƒHýÍ%M‰ ƒ&ÆÇŒï1 ‘ –Þ ‰i¬s žR-Ÿ kŠ¬á¬7:þ 0ŒÅÒÕ/aÙ¬ÃÝ#Úøœ ©aiVc‰. ¹¦ãµ” ›Yg¦›ÆÎýº°f³7ƒhá·¸­}&D9¡ÂsÉÙÞèŠõØàC™¨ñbFC|´Ü(ŸƒÚÒ-%»'a Ì¿)ËÇn¿úÿ ÞŽX…4ÊÅH^ôΑí@ù¹Eh¶“L8Çjù ¼ÎåVªóR©Ï5uà V4lZß®=€xÖŸ–ÑÈ ÷”¨°¾__yM1tÉ?uÆþIkÄgæ@þ[¢†°XÃJ£j·:nkÅ¢u ‘}âGzö­/IµèŠ¬¼48q¦F°ŽR¼=ûì{´¯RýicS ÕÛ íNtÍÙï£,w4rêì®»~x(©Uñ§#Ñ&œÕ¤>ÎåÍÓ9’Ö{9eV­[Öjâ²ãu]˜å2›qÑšÕJç0€sÄ|Êëè0튔bÁ>“{×_F`Ø©ºê:µä,v¤ðfc1±"«ÔÍän1#=· Âøv~H½ÐßA¾¿Ü€Óš]Õ; I¾÷ç‚Qi†î¹9ywÔKG˜áñ zQY—§ÃÕZ07§X‚ Áh;ÁM)iÌCH-¯T‘ë|A0{Ò½LÚ–TâÖkÜ’dÀ“rmm»”جPF³ÖcbE§T€ÒxKºû’Ó®7±²(\4ŽÃ¸Uu@j™yĵ;³µ!Á¢b.W¤=mõ´êµK k ¸K^ÜÛ#p*Ü14qkZç5ïë †°5Ï%ÍÛ<Õ¤×Ô¥ê†C Õ´¼ú$ƒÖ“”]Ù¬qÞÚ[4©ý!ûÏ—Áb쳐XµA¬â~`›Çr¸8ìùÝ䫦<>ä÷«?xs´ÇÑ /á;¹øüÊÈÙà{"@Žïzâ¬[âß‚ U_<ÇŸ½4èN˜ú61®qŠu ¦þF£»äJ_ˆÙÎ~ ÞAã–Ý„Ï—rŠD;xTž‘ô`É«…suãO`?³à™ô Lý#Íc5öoæØ‚y´´÷«ZR§<&JÇ+éâô´€i!Àˆ0æAoàðLèÖ-2ŸõW.’t^–(KÁmHµV@xÜÇy®Ñø­â^:Ú3w· 7½¹°ñ¸â¹®:',«Mœ—n­Á+Ãbš LÈ‘ÄnRÓÅœ%¦²‰¨ùQ:¤f‚ "PÕtô¸…cæl…&˜Ú˜Ôkv‹ž+vŠ,=¢v­6—Xy*¥t£«<™:“aîϲ=¦6rO]XI¿Œ÷¤zÚ­›¶ 6÷”w\d ü~v®ˆÌk«^m<ÿ ¢‰Õ\)ùºŽ;… lîÙÅEŠ®cѾ@vnMÏ,¼“ñ•ŽBxðÃzãÇç%3ˆ"}Ù•Åî> BÉú;Ò]V+P˜F_´ßé> Øše|ï‡ÄOmFæÇ ãqÞ$/xÐx­z`ï9"œÜij‚!7.\Td…9M‡•iŽ‹¾‘50ÞŽn¥ß4ÉôO ¹*í^QêËÜÇÌ8=Ž§s‰'ÂëÙ«á%Pú[O †ÅP¯VsŽ°.‰,kc¶ ¬A9n˜XÎ-ÞšN["¹QÕ‰ƒMýÁߺXJæÍaLj¾×Ãmã¾ãÚ uñÒþåQô¦¥ /ÄUx:‚ÍÜ’ Đ©ØÝ3V¨‰ÕnÐ6ó*óúK­«…c ¯U òhsý­jóÔj#,ímŒRµ«lbïUTŒÑ8†Ä0œÏr`ð¡¬É Ї ë"À² ™ 6¥ f¶ ¢ÚoܱԷ-<Àî)†a¶ž'Ú»¨TXqØæ¶÷YÄHy˜9ÈIW­YÀuMFë ºÏ’AqÌ4·/Ú †ô'i$øä­=Ä Ý|öK×40è|È6p‘0§)o¥ctî§H+CA-“ xØ|ÐXŠç l8íºð3Ø:³¤¬KX¯UÿÙfrom collections.abc import Sequence, Iterable from functools import total_ordering import fnmatch import linecache import os.path import pickle # Import types and functions implemented in C from _tracemalloc import * from _tracemalloc import _get_object_traceback, _get_traces def _format_size(size, sign): for unit in ('B', 'KiB', 'MiB', 'GiB', 'TiB'): if abs(size) < 100 and unit != 'B': # 3 digits (xx.x UNIT) if sign: return "%+.1f %s" % (size, unit) else: return "%.1f %s" % (size, unit) if abs(size) < 10 * 1024 or unit == 'TiB': # 4 or 5 digits (xxxx UNIT) if sign: return "%+.0f %s" % (size, unit) else: return "%.0f %s" % (size, unit) size /= 1024 class Statistic: """ Statistic difference on memory allocations between two Snapshot instance. """ __slots__ = ('traceback', 'size', 'count') def __init__(self, traceback, size, count): self.traceback = traceback self.size = size self.count = count def __hash__(self): return hash((self.traceback, self.size, self.count)) def __eq__(self, other): return (self.traceback == other.traceback and self.size == other.size and self.count == other.count) def __str__(self): text = ("%s: size=%s, count=%i" % (self.traceback, _format_size(self.size, False), self.count)) if self.count: average = self.size / self.count text += ", average=%s" % _format_size(average, False) return text def __repr__(self): return ('' % (self.traceback, self.size, self.count)) def _sort_key(self): return (self.size, self.count, self.traceback) class StatisticDiff: """ Statistic difference on memory allocations between an old and a new Snapshot instance. """ __slots__ = ('traceback', 'size', 'size_diff', 'count', 'count_diff') def __init__(self, traceback, size, size_diff, count, count_diff): self.traceback = traceback self.size = size self.size_diff = size_diff self.count = count self.count_diff = count_diff def __hash__(self): return hash((self.traceback, self.size, self.size_diff, self.count, self.count_diff)) def __eq__(self, other): return (self.traceback == other.traceback and self.size == other.size and self.size_diff == other.size_diff and self.count == other.count and self.count_diff == other.count_diff) def __str__(self): text = ("%s: size=%s (%s), count=%i (%+i)" % (self.traceback, _format_size(self.size, False), _format_size(self.size_diff, True), self.count, self.count_diff)) if self.count: average = self.size / self.count text += ", average=%s" % _format_size(average, False) return text def __repr__(self): return ('' % (self.traceback, self.size, self.size_diff, self.count, self.count_diff)) def _sort_key(self): return (abs(self.size_diff), self.size, abs(self.count_diff), self.count, self.traceback) def _compare_grouped_stats(old_group, new_group): statistics = [] for traceback, stat in new_group.items(): previous = old_group.pop(traceback, None) if previous is not None: stat = StatisticDiff(traceback, stat.size, stat.size - previous.size, stat.count, stat.count - previous.count) else: stat = StatisticDiff(traceback, stat.size, stat.size, stat.count, stat.count) statistics.append(stat) for traceback, stat in old_group.items(): stat = StatisticDiff(traceback, 0, -stat.size, 0, -stat.count) statistics.append(stat) return statistics @total_ordering class Frame: """ Frame of a traceback. """ __slots__ = ("_frame",) def __init__(self, frame): # frame is a tuple: (filename: str, lineno: int) self._frame = frame @property def filename(self): return self._frame[0] @property def lineno(self): return self._frame[1] def __eq__(self, other): return (self._frame == other._frame) def __lt__(self, other): return (self._frame < other._frame) def __hash__(self): return hash(self._frame) def __str__(self): return "%s:%s" % (self.filename, self.lineno) def __repr__(self): return "" % (self.filename, self.lineno) @total_ordering class Traceback(Sequence): """ Sequence of Frame instances sorted from the oldest frame to the most recent frame. """ __slots__ = ("_frames",) def __init__(self, frames): Sequence.__init__(self) # frames is a tuple of frame tuples: see Frame constructor for the # format of a frame tuple; it is reversed, because _tracemalloc # returns frames sorted from most recent to oldest, but the # Python API expects oldest to most recent self._frames = tuple(reversed(frames)) def __len__(self): return len(self._frames) def __getitem__(self, index): if isinstance(index, slice): return tuple(Frame(trace) for trace in self._frames[index]) else: return Frame(self._frames[index]) def __contains__(self, frame): return frame._frame in self._frames def __hash__(self): return hash(self._frames) def __eq__(self, other): return (self._frames == other._frames) def __lt__(self, other): return (self._frames < other._frames) def __str__(self): return str(self[0]) def __repr__(self): return "" % (tuple(self),) def format(self, limit=None, most_recent_first=False): lines = [] if limit is not None: if limit > 0: frame_slice = self[-limit:] else: frame_slice = self[:limit] else: frame_slice = self if most_recent_first: frame_slice = reversed(frame_slice) for frame in frame_slice: lines.append(' File "%s", line %s' % (frame.filename, frame.lineno)) line = linecache.getline(frame.filename, frame.lineno).strip() if line: lines.append(' %s' % line) return lines def get_object_traceback(obj): """ Get the traceback where the Python object *obj* was allocated. Return a Traceback instance. Return None if the tracemalloc module is not tracing memory allocations or did not trace the allocation of the object. """ frames = _get_object_traceback(obj) if frames is not None: return Traceback(frames) else: return None class Trace: """ Trace of a memory block. """ __slots__ = ("_trace",) def __init__(self, trace): # trace is a tuple: (domain: int, size: int, traceback: tuple). # See Traceback constructor for the format of the traceback tuple. self._trace = trace @property def domain(self): return self._trace[0] @property def size(self): return self._trace[1] @property def traceback(self): return Traceback(self._trace[2]) def __eq__(self, other): return (self._trace == other._trace) def __hash__(self): return hash(self._trace) def __str__(self): return "%s: %s" % (self.traceback, _format_size(self.size, False)) def __repr__(self): return ("" % (self.domain, _format_size(self.size, False), self.traceback)) class _Traces(Sequence): def __init__(self, traces): Sequence.__init__(self) # traces is a tuple of trace tuples: see Trace constructor self._traces = traces def __len__(self): return len(self._traces) def __getitem__(self, index): if isinstance(index, slice): return tuple(Trace(trace) for trace in self._traces[index]) else: return Trace(self._traces[index]) def __contains__(self, trace): return trace._trace in self._traces def __eq__(self, other): return (self._traces == other._traces) def __repr__(self): return "" % len(self) def _normalize_filename(filename): filename = os.path.normcase(filename) if filename.endswith('.pyc'): filename = filename[:-1] return filename class BaseFilter: def __init__(self, inclusive): self.inclusive = inclusive def _match(self, trace): raise NotImplementedError class Filter(BaseFilter): def __init__(self, inclusive, filename_pattern, lineno=None, all_frames=False, domain=None): super().__init__(inclusive) self.inclusive = inclusive self._filename_pattern = _normalize_filename(filename_pattern) self.lineno = lineno self.all_frames = all_frames self.domain = domain @property def filename_pattern(self): return self._filename_pattern def _match_frame_impl(self, filename, lineno): filename = _normalize_filename(filename) if not fnmatch.fnmatch(filename, self._filename_pattern): return False if self.lineno is None: return True else: return (lineno == self.lineno) def _match_frame(self, filename, lineno): return self._match_frame_impl(filename, lineno) ^ (not self.inclusive) def _match_traceback(self, traceback): if self.all_frames: if any(self._match_frame_impl(filename, lineno) for filename, lineno in traceback): return self.inclusive else: return (not self.inclusive) else: filename, lineno = traceback[0] return self._match_frame(filename, lineno) def _match(self, trace): domain, size, traceback = trace res = self._match_traceback(traceback) if self.domain is not None: if self.inclusive: return res and (domain == self.domain) else: return res or (domain != self.domain) return res class DomainFilter(BaseFilter): def __init__(self, inclusive, domain): super().__init__(inclusive) self._domain = domain @property def domain(self): return self._domain def _match(self, trace): domain, size, traceback = trace return (domain == self.domain) ^ (not self.inclusive) class Snapshot: """ Snapshot of traces of memory blocks allocated by Python. """ def __init__(self, traces, traceback_limit): # traces is a tuple of trace tuples: see _Traces constructor for # the exact format self.traces = _Traces(traces) self.traceback_limit = traceback_limit def dump(self, filename): """ Write the snapshot into a file. """ with open(filename, "wb") as fp: pickle.dump(self, fp, pickle.HIGHEST_PROTOCOL) @staticmethod def load(filename): """ Load a snapshot from a file. """ with open(filename, "rb") as fp: return pickle.load(fp) def _filter_trace(self, include_filters, exclude_filters, trace): if include_filters: if not any(trace_filter._match(trace) for trace_filter in include_filters): return False if exclude_filters: if any(not trace_filter._match(trace) for trace_filter in exclude_filters): return False return True def filter_traces(self, filters): """ Create a new Snapshot instance with a filtered traces sequence, filters is a list of Filter or DomainFilter instances. If filters is an empty list, return a new Snapshot instance with a copy of the traces. """ if not isinstance(filters, Iterable): raise TypeError("filters must be a list of filters, not %s" % type(filters).__name__) if filters: include_filters = [] exclude_filters = [] for trace_filter in filters: if trace_filter.inclusive: include_filters.append(trace_filter) else: exclude_filters.append(trace_filter) new_traces = [trace for trace in self.traces._traces if self._filter_trace(include_filters, exclude_filters, trace)] else: new_traces = self.traces._traces.copy() return Snapshot(new_traces, self.traceback_limit) def _group_by(self, key_type, cumulative): if key_type not in ('traceback', 'filename', 'lineno'): raise ValueError("unknown key_type: %r" % (key_type,)) if cumulative and key_type not in ('lineno', 'filename'): raise ValueError("cumulative mode cannot by used " "with key type %r" % key_type) stats = {} tracebacks = {} if not cumulative: for trace in self.traces._traces: domain, size, trace_traceback = trace try: traceback = tracebacks[trace_traceback] except KeyError: if key_type == 'traceback': frames = trace_traceback elif key_type == 'lineno': frames = trace_traceback[:1] else: # key_type == 'filename': frames = ((trace_traceback[0][0], 0),) traceback = Traceback(frames) tracebacks[trace_traceback] = traceback try: stat = stats[traceback] stat.size += size stat.count += 1 except KeyError: stats[traceback] = Statistic(traceback, size, 1) else: # cumulative statistics for trace in self.traces._traces: domain, size, trace_traceback = trace for frame in trace_traceback: try: traceback = tracebacks[frame] except KeyError: if key_type == 'lineno': frames = (frame,) else: # key_type == 'filename': frames = ((frame[0], 0),) traceback = Traceback(frames) tracebacks[frame] = traceback try: stat = stats[traceback] stat.size += size stat.count += 1 except KeyError: stats[traceback] = Statistic(traceback, size, 1) return stats def statistics(self, key_type, cumulative=False): """ Group statistics by key_type. Return a sorted list of Statistic instances. """ grouped = self._group_by(key_type, cumulative) statistics = list(grouped.values()) statistics.sort(reverse=True, key=Statistic._sort_key) return statistics def compare_to(self, old_snapshot, key_type, cumulative=False): """ Compute the differences with an old snapshot old_snapshot. Get statistics as a sorted list of StatisticDiff instances, grouped by group_by. """ new_group = self._group_by(key_type, cumulative) old_group = old_snapshot._group_by(key_type, cumulative) statistics = _compare_grouped_stats(old_group, new_group) statistics.sort(reverse=True, key=StatisticDiff._sort_key) return statistics def take_snapshot(): """ Take a snapshot of traces of memory blocks allocated by Python. """ if not is_tracing(): raise RuntimeError("the tracemalloc module must be tracing memory " "allocations to take a snapshot") traces = _get_traces() traceback_limit = get_traceback_limit() return Snapshot(traces, traceback_limit)