[rt.cpan.org #147034] use of DateTime module results in endless loop in pp
[email protected] ("Torsten.Werner via RT") Wed, 08 Mar 2023 12:56:09 -0500
| Newsgroups | perl.par |
|---|---|
| Message-ID | <[email protected]> |
------------=_1678298169-2795-0 Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: quoted-printable Wed Mar 08 12:56:08 2023: Request 147034 was acted upon. Transaction: Ticket created by [email protected] Queue: PAR-Packer Subject: use of DateTime module results in endless loop in pp=20 Broken in: (no value) Severity: (no value) Owner: Nobody Requestors: [email protected] Status: new Ticket <URL: https://rt.cpan.org/Ticket/Display.html?id=3D147034 > Hi Roderich, I use Strawberry Perl 5.32.1 with PAR Packager, version 1.056 (PAR version= =20 1.017).=20 The following 2 lines resulting in an endless loop: use strict; use DateTime; Let's say that the 2 line script is timetest.pl and I call=20 pp timetest.pl --output timetest.exe It will never end A message appears: # Use of runtime loader module Module::Runtime detected. Results of=20 static scanning may be incomplete. When I've a look with procmon I see a loop scanning modules for time=20 zones. You packer is a very valuable tool. Thanks a lot for your work. Bye Torsten ---------------------------------------------------------------------------= ------------------------------------------------ Dr. Ing. Torsten Werner | Product Manager plan.assyst E-Mail: [email protected] P +49 89 905050 | F +49 89 90505-271 =20 Assyst GmbH | Max-Planck-Str. 3 | 85609 Aschheim-Dornach Registration / Eintragung beim Amtsgericht M=C3=BCnchen: HRB 180174 Managing Director / Gesch=C3=A4ftsf=C3=BChrer: Hans Peter Hiemer www.assyst.de=20=20 ------------=_1678298169-2795-0 Content-Type: image/png Content-Disposition: attachment Content-Transfer-Encoding: base64 Content-ID: <_4_00B0191000B016D000628256C125896C> RT-Attachment: 147034/2459833/1098384 iVBORw0KGgoAAAANSUhEUgAAAIAAAAAbCAYAAAC0n4dLAAAS63pUWHRSYXcg cHJvZmlsZSB0eXBlIGV4aWYAAHjarZpXkuS4FUX/sQotAd4sBzZCO9DydS7I rK42kmYi1DlVmcUkQeCZa8Ax+1//POYf/IslZRNTqbnlbPkXW2y+86Ha51+7 v52N9/f99/mKv386btx4v/AcCryH58/S3/M7x9PvA3HdT8dNfb/x9R3o/eIz YNCdPR/W90ly3D/HXXwHavv5kFst36c6/PM+3xPvVN6fM/0dL72r0d/m+4FY iNJK3Ch4v4ML9v6uzwyCfnzovJf7u3KeC5HPnGnuofbOhID8tLzPu7XfA/RT kD+fzK/RD/nPwff9PSP8Esv3fMOHP37h0p+Df0P8/cZfM/I/f5GWc78t5xPk s+o5+1ldj5mI5reirPlE50b/LMIew70s8yr8JD6X+2q8qu12kvJlpx28pmvO E+tjXHTLdXfcvu/TTaYY/faFd++nD/dYDcU3P8OTJ17u+BJaWKGSyem3CYHD /msu7t633ftNV7nzcpzqHYO5m/7/8DL/7cu/8zLnTIXIKZgh31gxL6+6ZhrK nH5zFglx581bugH+vN7022+FRamSwXTDXFlgt+MZYiT3o7bCzXPgvMT700LO lPUOQIi4d2IyLpABm11ILjtbvC/OEcdKgjoz9yH6QQZcSn4xSR9DyN4UT8tw b64p7p7rk89eh8EmEpFCprcqGeokK8ZE/ZRYqaGeQooppZxKqia11HPIMaec c8kCuV5CAfRKLqXU0kqvocaaaq6l1tpqb74FMDC13EqrrbXevencqDNW5/zO keFHGHGkkUcZdbTRJ+Uz40wzzzLrbLMvv8ICJlZeZdXVVt/ObJBix5123mXX 3XY/1NoJJ5508imnnnb6V9berP72+htZc2/W/M2UzitfWeOoKeUzhBOcJOWM jPnoyHhRBihor5zZ6mL0ypxyZpunKZJnkkm5McspY6QwbufTcV+5+5G5v5Q3 k+pfypv/X5kzSt3/I3OG1P2etz9kbYnn5s3Y04WKqQ10H+d0Xw0/1va+ek2c vFvJySdGjWOnNGapax9ml4OP1tHfjO99n4svTt2klGlvb4fZo1QdL2kwzl6N 2dUTArmdZ/ZooSGacJ/oZqpnEmc7Yptjs7RWTlp15366OXufFMZsngX1fELf OU7WtLorl9K2LW5p1icmF+ch1gzUBvC42l5jC2Wacb7Eo5WO3PQO2/URymTC IZ0961q95Db13W5nltZ8DmfFslZ2M8C5a1QXDCslAxrpzEqlFKHuHRqMXWn7 xEo7cyRKPdMkJXYXT6TI+iojsZKjriHYRIgCIY+9lOFowRbJ4JqxtVXbqH5T /C2weAaxefS1ytlEjQGy27UV1+sxh+vbIf3rLP5rhyLw0xUCH/bYjaAgMLLL I6Uae48+lOSIzlybBZxN8bnTluHaVchUaWuUORmtj1xcm2URZUquDI8UG2+e 4/AMSy956i8ckmZzHBS/aZDYYXGEEjajFI5tXblwffd1cqB0T1yHiRC84c6Y hJUMZz9GiRNym4eGMJai6syAMCeQtUfmVHoax4+SF1G1x/lTG50wQ+Hufvbx hJBlZTtboupsNHmfNsCPafM8Ie1QWNo4ve3R9s1ermueG8bNRE7JfdS5QziE njJNo4AZXgXZd5gJzqBc/abSR2JlsecF0e0NBi2uA1TKykNiNTWhRU+JuukZ oPX0EMA2Stmnb6RBnd3VzG0oYij7UBNgicvJTcXzHFZW89ynUgzO58Usw+YC sMrA7KcuweQGrxL4ufL0FJXtfiNdBBKHkFlkNPUzgITNJCoYTPGGnWarCoBJ rJqPtBKCkZZieuR6ccHyXGcZZNRFMx6gZVIjSlsbJCvZtVgxdyJqyQg9Fiin ot4KE+gxVVUV9ABjvWUdTjrV57EAF0CmhZMnggwqZvTMnEswZ4xFLxx+q5xL pRIRM1TAXGHmTUu2PHznzkNroajODIOibT6VcXalycvJZmdqhIo6zT3lPQ6z I8nBzsTIDMmgpRKj3gqKirWRf9B4jdByYjmHkk/mgOIDKTcEzvQZpQm2cQSF mMAcJ/DAopyZKK+W5giq0JTPoGFro9ObY2KG9jtrZ6CPPhH6IPXAbmqDdh8c pwS4Ze90j7CP7FPKyjwhJ4UMvRErULa0JjIhgXtutlbpRerRo0l2HQAKiZ6n BOJA6/boiCkQCDOGkS1UWSh4aMxM4KDvAQLMHDakFj7guASOFA2Jp05YDg0w WeshTDSA3Y5bp8XYtOsyJQ5AhYSSw2MHKBS3Koa+KvnwMdOgGz/3FE3Wimvo w6Fyt91VXOAWld2S1kxAK+TDhQN8BDiEQAEBJQTC2MS4HnZiOr3Q4EQLfZZO Q0XDBGkaGAKwPXUglukmS0gk71co8M2h8+/C/BzMjNSWpVScAnQ6QSnNVCL5 2LQIZQOlO+Ii+AmHIZ0CPGyF+k8P2SXBV6NoYTSwNRwqq9tSxyaUJcVTQUja uuXiQSXmSw10WoMKd77f3qDZAHxKfCz/ThohE0v1/YQZaNPhgethMveEo2g4 cssfg4uCG6y4jNspkLjPfYExx84FgTuSgL4A+7PaIcObpUejO0zf7526gAJI u4SZi0hJkciwNlXOISgHMqPblhWteaBPiLvmotfowptvCP9CHPneM7soZK/S JFAB3solOGNF2uTQrLrVCGAWSOhmzB4vMgFEqGoQBUTA8twKeVRAF+CMaURQ EYLWjV48GmAF0aeuAUThEXrwmBJISEbx8Q0Sio6kiCAkkH0g/dzwIHhx3GmQ iWbLRLUkFtQiSn9HR0d1CsxQRBvdcSCjnva8SVQKSRvKEfFiR5PtuZpVomTg oKkiySByQFxc4IpsKDMKey1a3wMjjTyIpivJI1vgNI1I4hajb7DqSGrhRQgv syT6gAvjzGSURygIWDqoE4qAW4i3cKunr5T7FQt0CjrjEXSYFYTGTE/PUOcz Lg3kaMJ4fEQ3RWJDXoWNi2HGSrQ0mpQOpFQPLSj1Q7m8+gfpIwV09Y8RtT6q RgSgm+2YHgJAPqJqLgHgRKsXAYCwAA0i9Hgfd3sqjqY8WIiYA4rlMnwWw8dG dGCbAcnXS9ophG3HTUMopK09iiM09QTL1maHAYpJQqgF1kaKNHAYksMeiHVo TOTMQX2IxxkenClkdIwBeVJbfUikCqaQNZAVDrqzjpShGBKIxoSjmeRANK4Y UOjKv6u0PmgFjtG+cP9wAZNBBuooeBGKQX22d4HzSOqF+kSlfEcF6GkvT0k5 b4/cEV2IaAUTx7oca/4yyaLngrQp1IH7aSEOotrQGIjjviu+n6gCxHTszpRw 8XTLTB70xS60NoNLaBuMT5KXoOAoHdQT2WcgWgV6Q1l3I6sBK1x6W3teekNr iFVkTfyg8fAaIWkrJK2EYItYnlmlNAqkMkBlB2Zv+e+GS9goKKIi4WgXHg1G lRzBOHEbK7xGqpIPv1oVcx08nCaG1kLEwyJEJ+EXIHTmj78oEeI5MPrYlWay 2Je9xeFUt9ge9lxFmLOxfZi3Q2wpPQMANmRdFDFQR8kji8gCdYSkHJrRLlCk SK4RhJHxbHgUVBI47LryTVOB2bZB4XmGnmwDpV3SZNSmEIgi7uAqjkBsBCaW DhD2yPo5KVca9egGLh+TWclINOrGdChalEkeYt2r9cBMQY+GSZQYPbp6CMNH 4TxtlNKVe4NgF8sK1B2xqnWijDVM5YKuYRzSCnVsKaMoUebF5v5R/tgxIATX 3fD99cJld7hu4PUF6iRO/QHU6wuok/8CagAGUE7YG+oNl91lg9G5UDSYT0A3 KEZ80BXIYqFbAcXo/6BZZqIw1X1Ea9zyxI5MBjUZ8GgyDjTOM4trkb50DwQl LYENQNBEcimbc5UjCHNdFsKRtkT5M2yQcmwjXIuVRs8RY90h2oiLqCDzSorU gn5pbVYLjVJjoPb1eW27Ymg0ivgWPACaswBYZrYkD45FFJBKMiooTIdMYpmJ aRII0s5ATVaLJRxkERbgSIj6gD+1cQnu0jIwNjoW9QBPh0XX5ouS5QIsq6Un hDqFGlzHADvjwo4AYV/YsVKlF3YcTNbecr9KnVFUqZlgK5RD9Q72UhfmyLgt XHBQfK9wwGcRS0C3yGehtZiI7sELLZIIBF2ygRlp35AbIdrOELFacUakGMdE 26vP1BmQoP9gGS0FxowHy4SYRVgWgK45oRRBmVHkLHchjnDls6/RUfQf0KTb Z3tAk/a18Yf6QjkkaREYevttsEQ9NsIPBwiCMWjKjz7YT2BBiiEPWQvK7+47 uHdv4GvbwRsissY10Q/thferh/ZgPRpTc701hfqGAgBZNY66usnrpevXrtxq gs52QoeXYClGkrF0LYmcLmUU/A2h8Fh3sE2Ay9iy7RSxj4Ad8lg+2RebpBoz eijA+wA+2MGgDTurBiStaC46uguAJB2qo7KApmukUbW3LApweDOMxAny0aiN XNwplYDSqeJc7XdtuEo7DiiY21h3x2GDKCGYu+WgWUhFnOlt2B7040Lp0nL9 6qldCO9iluWJvSEWcVrSoZQmRQigGEQ60xFfxPyic5GjBm2EzmDp6Hr+01Hg yNgkb3d1/XMJxfGoWKNrqEVCca+J2p7gGju1AQBKAVOYNpZCZ/qCQnitp2P2 5xv6me/wd2lkEhaE7ryKAKfjbotacjzbVeCgrgwhqFpu8R57gF8zSYN/LeF5 WZOuyN9Z02KUtWFHeKMLPU98NLUxK10HrGSwHlnDSiKTJrkETnFcQv8Fw+QT YrkdfJwdmvOFcrGd/ybwwbsxHL7f06r50fiBFJIv1Q2Uj2fDaOVHyWqbCi2J OOANQxOJapdHI9qzareGvO/cHX2nPcQ4/EM455tIQDew3kckdDWsBGsl9V20 yvf0s8F5UJCIXlrMoxQaDAOMVYmpTehgZ5hQOyGetmxDzmQ7zmaykuxRedsL 8P8Qxv6ZMCqwVIseuFyy5HRQCXiC/NrdJ0fAz8Bqrgne04wfeye3wLD1MaBI +t09gem4fxawRneVtZc/GtRn0M7mI/+3r810XFMFJsbSZhrtLAofuXub6aDm atgj0de24NtG8DMneUdEaMKBaMHwZGRGVCw9ut0BZ9LE4S0K4HurcOUa7UFp Jwk3ta/8256Q0Vbyf9wWQgYifVF8y+8JR+ul5K+NMGRAjJosCLgZTX88CBm0 UKWd4NVMWMJNDUZkHFwAVACNHekUwUNqoyPKRGfo03jJxR2kXxC2d0wHfWrd N3pFdUftWFdPiSWIH+xFjGQ91HmlOEIcdCkiFiN714FLaXEktbQ14NpF9UOs BP306rH62AU6UQiN/UA5gnT9kA+RcM3ROGHiF8gXATrVeEHthX9ohj/JLO1N A+0+tVsBW5F2LJbTTukImJr2bmRoo8WOnzYykK/vRkZ9NzLSAy/Tr/oYfDgF 3CjaPXa3JZb2OUUpcDK3pPPpqUoY6dqlLdWcMBtoFHgJ8qQIusRs0E63h4hN QjTgDzzThoDlEVIJMh6SDXdfvYLQNBOrSxp1hM3hliWp8pZboKGAWm0QIIO9 k3DIuUplfJhCBmfT1EwpBJI8dAmkmIJqXfQ+8VikFw1m/rspkpdfz+43VBSk jUt4Nd5UyLuoCJRcZsGj8poVj5MD6dYCSkpJ9g2hBUXR+0GPB5HzdHDoFFnn TtodjNclwZrBXLy/+3D4nwi96QmYBxzIlHj52Q3cr11Cm0fpSsBlgMi66tr5 gl3XU5F06+5HATLxcAtAM1JV7NdaUxKPytA+t8rsozGK+aX+fq2+9lRfV/Vp l4EAwWVe237A8rqPZa6UMGiJX57LgAfdupRgSg8N+KEHYMxxzUNKnx0jsNH5 z4bRhRxTPjuEwFuJk9yeu3Pu5UwoHcooYy/AejRnoK6pLhIwZd0pN8Zsd8PK PI+DqGhWID6HscCvzxOhPz0QgrGJx7TUZKfCurYutA19t98vLWujb7adCyFF iFeMvoQm7eXidcu9Lttpf3K2XaK16BoplsUJ74wq7huZ4T98SuCFYBipLW0g 8Bzu4VIv4KCmlh4D0tZobM+6zYbpf4Dnwom82IlBBT31JAxmg0w7zn3B6J2E D1V76q4NiSmrPUfS72fL/t1T0Z6oZuiXHvox5+N31P8OMqoeBeQ/wf6D+ubP sE/mBYuzu7hoUT38AlCfjUWfybJ7Hto1EL9qV3cb6yEJq8dHgHLRU4FBt4FF inzZKUdnF7iqbTv7WHEwWCVGi6FgudWuMTTjW+eMpzNkvKd79q83jodPURsI n32sW/Y/9rGQydSJpuYWYlTeGeKBzanQeHUxyuRY/26pFe6U2rq7EMdtwgCm WT0mTXhoFbI2g5rZba9nUJTfLZNccTgLp5pADmCgaovgdoujy6nUALLS5hW8 7rI8cOHKFCTYXqZD/Mx5rffR//NQr3UZekyXnnKchXootApmviFv8fCnjK+g GHRg+JuQ4fSI6VdnAq8Rt4Yp+TdBkUiFqEO1xwAAAYRpQ0NQSUNDIHByb2Zp bGUAAHicfZE9SMNQFIVPU6VFKg52EHHIUJ0siIo4aisUoUKoFVp1MHnpHzRp SFJcHAXXgoM/i1UHF2ddHVwFQfAHxNHJSdFFSrwvKbSI8cHlfZz3zuG++wCh WWWa1TMBaLptZlIJMZdfFUOvCCGMCJUgM8uYl6Q0fNfXPQJ8v4vzLP97f65+ tWAxICASzzHDtIk3iGc2bYPzPnGUlWWV+Jx43KQGiR+5rnj8xrnkssAzo2Y2 kySOEoulLla6mJVNjXiaOKZqOuULOY9VzluctWqdtfvkL4wU9JVlrlONIIVF LEGCCAV1VFCFjTjtOikWMnSe8PEPu36JXAq5KmDkWEANGmTXD/4Hv2drFacm vaRIAuh9cZyPUSC0C7QajvN97DitEyD4DFzpHX+tCcx+kt7oaLEjYGAbuLju aMoecLkDDD0Zsim7UpBKKBaB9zP6pjwweAv0rXlza5/j9AHI0qzSN8DBITBW oux1n3eHu+f27532/H4Ay9dyZDieMuwAABEjaVRYdFhNTDpjb20uYWRvYmUu eG1wAAAAAAA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlI enJlU3pOVGN6a2M5ZCI/Pgo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5z Om1ldGEvIiB4OnhtcHRrPSJYTVAgQ29yZSA0LjQuMC1FeGl2MiI+CiA8cmRm OlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjIt cmRmLXN5bnRheC1ucyMiPgogIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0 PSIiCiAgICB4bWxuczppcHRjRXh0PSJodHRwOi8vaXB0Yy5vcmcvc3RkL0lw dGM0eG1wRXh0LzIwMDgtMDItMjkvIgogICAgeG1sbnM6eG1wTU09Imh0dHA6 Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iCiAgICB4bWxuczpzdEV2dD0i aHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZl bnQjIgogICAgeG1sbnM6cGx1cz0iaHR0cDovL25zLnVzZXBsdXMub3JnL2xk Zi94bXAvMS4wLyIKICAgIHhtbG5zOkdJTVA9Imh0dHA6Ly93d3cuZ2ltcC5v cmcveG1wLyIKICAgIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxl bWVudHMvMS4xLyIKICAgIHhtbG5zOnBob3Rvc2hvcD0iaHR0cDovL25zLmFk b2JlLmNvbS9waG90b3Nob3AvMS4wLyIKICAgIHhtbG5zOnhtcD0iaHR0cDov L25zLmFkb2JlLmNvbS94YXAvMS4wLyIKICAgeG1wTU06RG9jdW1lbnRJRD0i eG1wLmRpZDoxOTE2Y2YyZi1lOTEzLTQ1ZWQtODdjNS1mYjBiODJkYjY3Yzci CiAgIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6NjdjNWZkYzQtZDBlZC00 NGM0LWFkMjctZDBmZGQzNjZmYzhhIgogICB4bXBNTTpPcmlnaW5hbERvY3Vt ZW50SUQ9InhtcC5kaWQ6MTkxNmNmMmYtZTkxMy00NWVkLTg3YzUtZmIwYjgy ZGI2N2M3IgogICBHSU1QOkFQST0iMi4wIgogICBHSU1QOlBsYXRmb3JtPSJM aW51eCIKICAgR0lNUDpUaW1lU3RhbXA9IjE2NTcyODIyMTE2NDAwMDQiCiAg IEdJTVA6VmVyc2lvbj0iMi4xMC4xOCIKICAgZGM6Rm9ybWF0PSJpbWFnZS9w bmciCiAgIHBob3Rvc2hvcDpDb2xvck1vZGU9IjMiCiAgIHBob3Rvc2hvcDpJ Q0NQcm9maWxlPSJBZG9iZSBSR0IgKDE5OTgpIgogICB4bXA6Q3JlYXRlRGF0 ZT0iMjAyMi0wMy0wOFQxMTozNToxNSswMTowMCIKICAgeG1wOkNyZWF0b3JU b29sPSJHSU1QIDIuMTAiCiAgIHhtcDpNZXRhZGF0YURhdGU9IjIwMjItMDMt MDhUMTI6NTQ6MTIrMDE6MDAiCiAgIHhtcDpNb2RpZnlEYXRlPSIyMDIyLTAz LTA4VDEyOjU0OjEyKzAxOjAwIj4KICAgPGlwdGNFeHQ6TG9jYXRpb25DcmVh dGVkPgogICAgPHJkZjpCYWcvPgogICA8L2lwdGNFeHQ6TG9jYXRpb25DcmVh dGVkPgogICA8aXB0Y0V4dDpMb2NhdGlvblNob3duPgogICAgPHJkZjpCYWcv PgogICA8L2lwdGNFeHQ6TG9jYXRpb25TaG93bj4KICAgPGlwdGNFeHQ6QXJ0 d29ya09yT2JqZWN0PgogICAgPHJkZjpCYWcvPgogICA8L2lwdGNFeHQ6QXJ0 d29ya09yT2JqZWN0PgogICA8aXB0Y0V4dDpSZWdpc3RyeUlkPgogICAgPHJk ZjpCYWcvPgogICA8L2lwdGNFeHQ6UmVnaXN0cnlJZD4KICAgPHhtcE1NOkhp c3Rvcnk+CiAgICA8cmRmOlNlcT4KICAgICA8cmRmOmxpCiAgICAgIHN0RXZ0 OmFjdGlvbj0iY3JlYXRlZCIKICAgICAgc3RFdnQ6aW5zdGFuY2VJRD0ieG1w LmlpZDoxOTE2Y2YyZi1lOTEzLTQ1ZWQtODdjNS1mYjBiODJkYjY3YzciCiAg ICAgIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIFBob3Rvc2hvcCAyMi41 IChNYWNpbnRvc2gpIgogICAgICBzdEV2dDp3aGVuPSIyMDIyLTAzLTA4VDEx OjM1OjE1KzAxOjAwIi8+CiAgICAgPHJkZjpsaQogICAgICBzdEV2dDphY3Rp b249InNhdmVkIgogICAgICBzdEV2dDpjaGFuZ2VkPSIvIgogICAgICBzdEV2 dDppbnN0YW5jZUlEPSJ4bXAuaWlkOjRkNmJmOWY4LTVjYjAtNDg0MC05OTVi LWQyMmNlNzU4MjAyYyIKICAgICAgc3RFdnQ6c29mdHdhcmVBZ2VudD0iR2lt cCAyLjEwIChMaW51eCkiCiAgICAgIHN0RXZ0OndoZW49IiswMjowMCIvPgog ICAgPC9yZGY6U2VxPgogICA8L3htcE1NOkhpc3Rvcnk+CiAgIDxwbHVzOklt YWdlU3VwcGxpZXI+CiAgICA8cmRmOlNlcS8+CiAgIDwvcGx1czpJbWFnZVN1 cHBsaWVyPgogICA8cGx1czpJbWFnZUNyZWF0b3I+CiAgICA8cmRmOlNlcS8+ CiAgIDwvcGx1czpJbWFnZUNyZWF0b3I+CiAgIDxwbHVzOkNvcHlyaWdodE93 bmVyPgogICAgPHJkZjpTZXEvPgogICA8L3BsdXM6Q29weXJpZ2h0T3duZXI+ CiAgIDxwbHVzOkxpY2Vuc29yPgogICAgPHJkZjpTZXEvPgogICA8L3BsdXM6 TGljZW5zb3I+CiAgPC9yZGY6RGVzY3JpcHRpb24+CiA8L3JkZjpSREY+Cjwv eDp4bXBtZXRhPgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAog ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgCjw/eHBhY2tldCBl bmQ9InciPz5YaqYlAAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAC4jAAAu IwF4pT92AAAAB3RJTUUH5gcIDAoLH3pupgAACSZJREFUaN7Nm3uQVMUVh7+e 2WVZVhZQMEgUMBIQUmpSKVkUhUQTFIHSBLDkCuy6UKg8DE2Mj1RFgzxceXjl VUiA5d2UMQIhBRUiCgpJZMVAqQQKk5JHUCPC8hIWdnc6f9w7OnvpnrkzO4M5 VVtbt/v0uffX5/Tpc073CK01jaWIkldoeMDS/QftuP+1jRUrxkI0vwfwc+B2 4LtAM+Az4F/Am8CSZDKMcpW8GigFegOdgG8B54D9wDbgVaoP7tRj1gTHdQN+ bBG7Rjvup0neeaOP4eI+WB5z3NMW7AOBnkBnA/al2nE/s7zvXuDqxuhONNYA xOx+0LrzGuBnFpYe2nF3WAB0BRbYJi2BaoG5An4Tc9wvUxhjCw3TgJFAJIXc TcA47bgfJYxvo+EgUGjgf0477rNJDGAj0NfQVUWsrkQPnZNV7ELJN4A7GrV4 G738W3cemkT5yVboQOC9EBMAkA9IDVX+yrbJ7KhhNzAqJLa7gF1CyV7xhpjj HgWWWPjLxMrHbO++ypdnooqA8jPBvkMo+W2yTI0yAKHkNcC8DMbdCqy2rLJk 1A1Yl69k1LDyWwJbgI5pyiwCNgolv5PQ9gJQb+BtTyR6p0XOMMt87msbia5N wN4zQ+zfA9aasH8jBuCvhCVAcTrjCtSECLDUt+xM6Id1MDzYqGFqBspPNIJJ X8ly3EPAiiSKbjgXy8cAlFv4p336wAwAmnrYlzQC+811hvd/Mx4gEpXAnekO u4Du7wd6JloCdBLQyg/gzlr4hgRWf3ESBewAegpoDvTygysTDYoqWZDwPN3G F1HysgYteU1uAboYeI9EYWX84Tx6QEjsZSGx7wOqAn8HLOPOGHir8jJ0/V3x VlwmZIuwN3PuZLkeURl/Xi6UbAc8b+DtLpY+jC5bEF/9PYACA98JAXfHHPeE /7xNKDkY2GXgbRKDG4Cdvhf4p1ByHXBf0FtoGOR7sTiVWjDNqHPc2hDYX6e2 plyXzo8/L/NjChP2ElE5Al2+GO24Ywy6GW3Zlt/Xjtsz2Ji2AUSVbOLvYU0z NIBmlvatCcqP0yrgWmNWld9gC+1gkfnvBOV7VHNqN02LZ1i2rguB56kGA4gr fKnvfZpiToGPC1gUaGtqxf618lNjL7gsa1tA2gYQg98CNxm66oFoOBFG6i2W jpqiy35Hwl58GHg4hMyjlvbrIkoWxxz31FcyyxcD/CoU2AdfepdV47cYVu6P hJIdteMe0F4G1MIwenbMcc+EnNbeYtkjU3Xpy5lgv3QxgFDyNuApQ9da4GRI Me9Y2n9Kk6KZeUpmEiBVWdpbavhTRMkrM5kcv0Yy2ZYSBv4n0pcC5hja/26R 1Yf8wunRzLBfGgOIKFnkuz0R6DoHjA9tRJ6xnLB0T6iHD4SSw/KUDO2dtON+ Aqy3dPfSsF8o+UxEyVZpz1Cs7k2LgZX5NYk+hr7FMcc9nib2x2MZYL80BnCm Fg0zgesMvZP9tCncfHruOJlr6wIsr4eDQsmn0lDaeKDa0tcCmKjhP0LJBULJ LqGNyyvgvGDo6hAIBBMrd9OyhL3l/4UBiPVP9LV8+P6IZxhp0SFn6u/9al1t ErZ2wPPam4wpESWbp/ACH/ur8UiKAHQUsFco+YpQslOoD/58zxpgr6HHlAav 1I5r/YY6x00H+6Ew2HNqABElrwAqLd2P1Tvu+XRfeg2FaMddCNySZP+OU3Pg 1xr2CSXvSWEEO4UXoC73ssNkOxH3A3uEks8UegUau9zxfwGoCAlvetIsyvvO OPZ3s4U9JwYgVoxDe6lMW1Pgp/tWbGrMy7XjvndTk8ISoB/wegr2dsAGP89N tsUc045bipfTLwaSHR41ASbWoNf56W0yxSkg1Va3Vjvu3rDYSwqKugP9s4U9 +x4gmldqyYPPAr+gVUGjP2D3oKlox92oB87o4+e9FcDxJEPmCSX7h5jgPdpx Rwpv8kZbXHicBsQs+3aC666zxAKJVJEO9ncGTkY77gY9eGZWsWfFAISS1wJz Ld2T/Dw1e1QQRTvuAe24TwsvwHopCfdUsbA0dNCpHXc+5052A0YApy2s41Kd tglvK7TVHN7eMXh8VUbY8yOJ2DumwD5FzOqb20JQ8eoJwo9wTSWnw8BqoWTb xtQUUijtDCCFkocxB5k3UHR5+xAu+WuP4FUZK4WSHwLbufhAJgLcAyxM8l01 Qsm38ErBQVrXPb9DNrCfToH9Rtpcnxb2tA3gtNaP4x2cmGM4+4FDqoCyUHuX IEyra3SwcpYPs2q9ymNzy754yPdWkzCXgyu1424NbA1VQsk/WpTYPmfRtpJF GuZbsD8avOzhY38Wc8n6qpwZgH8l6rkcRZy19ZbjTO1F7psbJNQ6Vo+I1FgM INqgigglBp4jwFZD+7l0FkQ2KAo1deljv5Dr72zgtv1IeBWZH/Qkpfq6C3XA F5busWJRWcAaI3cBbSz8iaXnjyw85RElWwRWYis/6zDRJ7kygLramnrgmKV7 jFj2SBD73UDrENiz5wFinsv5fq4mQQ+fh1ByG+YrZPfSrFWlUHKygGMaBmCu pwOcaiUiexKe3wKGGviu1LBJKCkF7NJwsx9gXW5LSnKGvXR+HLspq7qP/MIg dlsAfvL6vIIPs24A/kHP0xa+j0PkqqWYz+SDtAj7HcKHgIdCXFN99fiQmTph D31Ng2sJWkuAv4WQebBYiO3klhZZDCAt7HvvryCrBuDfcFnBxQc9cRqmHfev SVMkJQeFMYC5P/jJxrG7Nr9BBreJfDoDTAxEztVCyYmpqnAp6MmTQ17UudS+ dtwN/k3eTLGfznZ8FvGDkDnY79NVplJ+OjSmaz+Ed63pgwyG1wCDjTUIHZvh V/4yoRc5cegVLgHlBHtjDMD/cUGZpb9awJPZnoSY4x4VcCteWhQLOewfQE/t uH82rq4HZ0GsfiTwKPZTwSB9DpRxtvqXevRrl0L/Qez1IYft8rFvyvb35OHV w8fagqKY434RUtYTluzhQJJiz2ih5GQ/gLsN7xc87f0U74Qfe+wA1lN/YYse lvwGuh46G+DliJIr/Js6ffDOBDrgXcM+78t8H9gkYG3Mcc+lOWeLLanl9jSM IIj9dryj9jj2an/ePOx1F7bo4aFv379t0afx10X/AwobUYhmZinFAAAAAElF TkSuQmCC ------------=_1678298169-2795-0--