From 98eee6fc87cfc62b3b39c14685147ee047a58ad5 Mon Sep 17 00:00:00 2001 From: Josh Holtrop Date: Mon, 16 Nov 2009 03:06:54 +0000 Subject: [PATCH] shifted bowling_pin model to properly set its center-of-mass at the origin git-svn-id: svn://anubis/anaglym/trunk@172 99a6e188-d820-4881-8870-2d33a10e2619 --- lib/bowling_pin.obj | 1456 +++++++++++++++++----------------- lib/bowling_pin.phy | 6 +- libsrc/bowling_pin.blend | Bin 340260 -> 335468 bytes libsrc/bowling_pin_phy.blend | Bin 640540 -> 645188 bytes 4 files changed, 731 insertions(+), 731 deletions(-) diff --git a/lib/bowling_pin.obj b/lib/bowling_pin.obj index bcb77f2..92dd645 100644 --- a/lib/bowling_pin.obj +++ b/lib/bowling_pin.obj @@ -1,728 +1,728 @@ # Blender3D v249 OBJ File: bowling_pin.blend # www.blender3d.org mtllib bowling_pin.mtl -v -0.235706 -0.000000 4.181793 -v -0.278390 -0.000000 4.135764 -v -0.321863 -0.000000 4.073033 -v -0.343617 -0.000000 4.024184 -v -0.355708 -0.000000 3.972302 -v -0.360299 -0.000000 3.918832 -v -0.362946 -0.000000 3.826402 -v -0.359307 -0.000000 3.739264 -v -0.346246 -0.000000 3.633872 -v -0.329500 -0.000000 3.510032 -v -0.300187 -0.000000 3.360459 -v -0.279502 -0.000000 3.230631 -v -0.258554 -0.000000 3.067004 -v -0.058238 -0.000000 4.261900 -v -0.118208 -0.000000 4.244913 -v -0.185705 -0.000000 4.215739 -v -0.535490 -0.000000 0.806825 -v -0.564274 -0.000000 0.913981 -v -0.586758 -0.000000 1.016411 -v -0.606564 -0.000000 1.113911 -v -0.617133 -0.000000 1.201608 -v -0.623574 -0.000000 1.330616 -v -0.618349 -0.000000 1.464567 -v -0.600090 -0.000000 1.591154 -v -0.580605 -0.000000 1.711867 -v -0.546718 -0.000000 1.853926 -v -0.521586 -0.000000 1.966751 -v -0.479616 -0.000000 2.083669 -v -0.441156 -0.000000 2.169900 -v -0.412282 -0.000000 2.253036 -v -0.376102 -0.000000 2.347208 -v -0.327003 -0.000000 2.450085 -v -0.293098 -0.000000 2.554795 -v -0.259360 -0.000000 2.702091 -v -0.249913 -0.000000 2.796793 -v -0.246939 -0.000000 2.903776 -v -0.249705 -0.000000 2.994897 -v -0.200342 -0.000000 0.000048 -v -0.256468 -0.000000 0.083046 -v -0.303006 -0.000000 0.162624 -v -0.342185 -0.000000 0.242451 -v -0.381281 -0.000000 0.336374 -v -0.422807 -0.000000 0.451435 -v -0.464416 -0.000000 0.561152 -v -0.501234 -0.000000 0.683269 -v -0.463080 -0.191814 0.683269 -v -0.429064 -0.177724 0.561152 -v -0.390623 -0.161801 0.451435 -v -0.352258 -0.145910 0.336374 -v -0.316138 -0.130949 0.242451 -v -0.279941 -0.115956 0.162624 -v -0.236946 -0.098146 0.083046 -v -0.185092 -0.076668 0.000048 -v -0.230697 -0.095558 2.994897 -v -0.228142 -0.094500 2.903776 -v -0.230890 -0.095638 2.796793 -v -0.239618 -0.099253 2.702091 -v -0.270787 -0.112164 2.554795 -v -0.302112 -0.125139 2.450085 -v -0.347473 -0.143928 2.347208 -v -0.380899 -0.157774 2.253036 -v -0.407575 -0.168823 2.169900 -v -0.443107 -0.183541 2.083669 -v -0.481883 -0.199602 1.966751 -v -0.505101 -0.209220 1.853926 -v -0.536409 -0.222188 1.711867 -v -0.554411 -0.229645 1.591154 -v -0.571280 -0.236632 1.464567 -v -0.576107 -0.238631 1.330616 -v -0.570156 -0.236167 1.201608 -v -0.560392 -0.232122 1.113911 -v -0.542094 -0.224543 1.016411 -v -0.521321 -0.215938 0.913981 -v -0.494728 -0.204923 0.806825 -v -0.171569 -0.071066 4.215739 -v -0.109210 -0.045236 4.244913 -v -0.053805 -0.022287 4.261900 -v -0.238873 -0.098944 3.067004 -v -0.258226 -0.106961 3.230631 -v -0.277336 -0.114877 3.360459 -v -0.304419 -0.126094 3.510032 -v -0.319889 -0.132503 3.633872 -v -0.331957 -0.137501 3.739264 -v -0.335318 -0.138894 3.826402 -v -0.332873 -0.137881 3.918832 -v -0.328631 -0.136124 3.972302 -v -0.317460 -0.131497 4.024184 -v -0.297363 -0.123172 4.073033 -v -0.257199 -0.106535 4.135764 -v -0.217764 -0.090201 4.181793 -v -0.166669 -0.166669 4.181793 -v -0.196851 -0.196852 4.135764 -v -0.227592 -0.227592 4.073033 -v -0.242974 -0.242974 4.024184 -v -0.251523 -0.251523 3.972302 -v -0.254770 -0.254770 3.918832 -v -0.256641 -0.256642 3.826402 -v -0.254069 -0.254069 3.739264 -v -0.244833 -0.244833 3.633872 -v -0.232992 -0.232992 3.510032 -v -0.212264 -0.212264 3.360459 -v -0.197637 -0.197638 3.230631 -v -0.182825 -0.182825 3.067004 -v -0.041180 -0.041180 4.261900 -v -0.083586 -0.083586 4.244913 -v -0.131313 -0.131313 4.215739 -v -0.378649 -0.378649 0.806825 -v -0.399002 -0.399002 0.913981 -v -0.414901 -0.414901 1.016411 -v -0.428905 -0.428905 1.113911 -v -0.436379 -0.436379 1.201608 -v -0.440933 -0.440933 1.330616 -v -0.437239 -0.437239 1.464567 -v -0.424328 -0.424328 1.591154 -v -0.410550 -0.410550 1.711867 -v -0.386588 -0.386588 1.853926 -v -0.368817 -0.368817 1.966751 -v -0.339140 -0.339140 2.083669 -v -0.311944 -0.311945 2.169900 -v -0.291527 -0.291528 2.253036 -v -0.265944 -0.265944 2.347208 -v -0.231226 -0.231226 2.450085 -v -0.207252 -0.207252 2.554795 -v -0.183395 -0.183396 2.702091 -v -0.176715 -0.176715 2.796793 -v -0.174612 -0.174612 2.903776 -v -0.176568 -0.176568 2.994897 -v -0.141663 -0.141663 0.000048 -v -0.181350 -0.181350 0.083046 -v -0.214258 -0.214258 0.162624 -v -0.241961 -0.241961 0.242451 -v -0.269606 -0.269606 0.336374 -v -0.298970 -0.298970 0.451435 -v -0.328392 -0.328392 0.561152 -v -0.354426 -0.354426 0.683269 -v -0.191814 -0.463080 0.683269 -v -0.177724 -0.429064 0.561152 -v -0.161801 -0.390623 0.451435 -v -0.145910 -0.352258 0.336374 -v -0.130948 -0.316138 0.242451 -v -0.115955 -0.279941 0.162624 -v -0.098146 -0.236946 0.083046 -v -0.076668 -0.185092 0.000048 -v -0.095558 -0.230697 2.994897 -v -0.094499 -0.228142 2.903776 -v -0.095638 -0.230890 2.796793 -v -0.099253 -0.239618 2.702091 -v -0.112164 -0.270787 2.554795 -v -0.125139 -0.302112 2.450085 -v -0.143928 -0.347473 2.347208 -v -0.157773 -0.380899 2.253036 -v -0.168823 -0.407575 2.169900 -v -0.183541 -0.443108 2.083669 -v -0.199602 -0.481883 1.966751 -v -0.209220 -0.505101 1.853926 -v -0.222188 -0.536409 1.711867 -v -0.229644 -0.554411 1.591154 -v -0.236632 -0.571280 1.464567 -v -0.238631 -0.576107 1.330616 -v -0.236166 -0.570156 1.201608 -v -0.232122 -0.560392 1.113911 -v -0.224543 -0.542094 1.016411 -v -0.215938 -0.521321 0.913981 -v -0.204923 -0.494728 0.806825 -v -0.071066 -0.171569 4.215739 -v -0.045236 -0.109210 4.244913 -v -0.022286 -0.053805 4.261900 -v -0.098944 -0.238873 3.067004 -v -0.106961 -0.258226 3.230631 -v -0.114876 -0.277337 3.360459 -v -0.126094 -0.304419 3.510032 -v -0.132502 -0.319889 3.633872 -v -0.137501 -0.331957 3.739264 -v -0.138893 -0.335318 3.826402 -v -0.137880 -0.332873 3.918832 -v -0.136123 -0.328631 3.972302 -v -0.131496 -0.317460 4.024184 -v -0.123172 -0.297363 4.073033 -v -0.106535 -0.257199 4.135764 -v -0.090201 -0.217764 4.181793 -v 0.000000 -0.235706 4.181793 -v 0.000000 -0.278390 4.135764 -v 0.000000 -0.321863 4.073033 -v 0.000000 -0.343617 4.024184 -v 0.000000 -0.355708 3.972302 -v 0.000000 -0.360299 3.918832 -v 0.000000 -0.362946 3.826402 -v 0.000000 -0.359307 3.739264 -v 0.000000 -0.346246 3.633872 -v 0.000000 -0.329500 3.510032 -v 0.000000 -0.300187 3.360459 -v 0.000000 -0.279502 3.230631 -v 0.000000 -0.258554 3.067004 -v 0.000000 -0.058238 4.261900 -v 0.000000 -0.118208 4.244913 -v 0.000000 -0.185705 4.215739 -v 0.000000 -0.535490 0.806825 -v 0.000000 -0.564274 0.913981 -v 0.000000 -0.586758 1.016411 -v 0.000000 -0.606564 1.113911 -v 0.000000 -0.617133 1.201608 -v 0.000000 -0.623574 1.330616 -v 0.000000 -0.618349 1.464567 -v 0.000000 -0.600090 1.591154 -v 0.000000 -0.580605 1.711867 -v 0.000000 -0.546718 1.853926 -v 0.000000 -0.521586 1.966751 -v 0.000000 -0.479616 2.083669 -v 0.000000 -0.441156 2.169900 -v 0.000000 -0.412282 2.253036 -v 0.000000 -0.376102 2.347208 -v 0.000000 -0.327003 2.450085 -v 0.000000 -0.293098 2.554795 -v 0.000000 -0.259361 2.702091 -v 0.000000 -0.249913 2.796793 -v 0.000000 -0.246939 2.903776 -v 0.000000 -0.249705 2.994897 -v 0.000000 -0.200342 0.000048 -v 0.000000 -0.256468 0.083046 -v 0.000000 -0.303006 0.162624 -v 0.000000 -0.342185 0.242451 -v 0.000000 -0.381281 0.336374 -v 0.000000 -0.422807 0.451435 -v 0.000000 -0.464416 0.561152 -v 0.000000 -0.501234 0.683269 -v 0.191814 -0.463080 0.683269 -v 0.177724 -0.429064 0.561152 -v 0.161801 -0.390623 0.451435 -v 0.145910 -0.352258 0.336374 -v 0.130949 -0.316138 0.242451 -v 0.115955 -0.279941 0.162624 -v 0.098146 -0.236945 0.083046 -v 0.076668 -0.185092 0.000048 -v 0.095558 -0.230697 2.994897 -v 0.094500 -0.228142 2.903776 -v 0.095638 -0.230890 2.796793 -v 0.099253 -0.239618 2.702091 -v 0.112164 -0.270787 2.554795 -v 0.125139 -0.302112 2.450085 -v 0.143928 -0.347473 2.347208 -v 0.157774 -0.380899 2.253036 -v 0.168823 -0.407575 2.169900 -v 0.183541 -0.443107 2.083669 -v 0.199602 -0.481883 1.966751 -v 0.209220 -0.505101 1.853926 -v 0.222188 -0.536409 1.711867 -v 0.229645 -0.554411 1.591154 -v 0.236632 -0.571280 1.464567 -v 0.238631 -0.576107 1.330616 -v 0.236166 -0.570156 1.201608 -v 0.232122 -0.560392 1.113911 -v 0.224543 -0.542094 1.016411 -v 0.215938 -0.521321 0.913981 -v 0.204923 -0.494728 0.806825 -v 0.071066 -0.171569 4.215739 -v 0.045236 -0.109210 4.244913 -v 0.022287 -0.053805 4.261900 -v 0.098944 -0.238873 3.067004 -v 0.106961 -0.258226 3.230631 -v 0.114877 -0.277336 3.360459 -v 0.126094 -0.304419 3.510032 -v 0.132503 -0.319889 3.633872 -v 0.137501 -0.331957 3.739264 -v 0.138894 -0.335318 3.826402 -v 0.137881 -0.332873 3.918832 -v 0.136124 -0.328631 3.972302 -v 0.131497 -0.317460 4.024184 -v 0.123172 -0.297363 4.073033 -v 0.106535 -0.257199 4.135764 -v 0.090201 -0.217764 4.181793 -v 0.166669 -0.166669 4.181793 -v 0.196852 -0.196851 4.135764 -v 0.227592 -0.227592 4.073033 -v 0.242974 -0.242974 4.024184 -v 0.251523 -0.251523 3.972302 -v 0.254770 -0.254770 3.918832 -v 0.256642 -0.256641 3.826402 -v 0.254069 -0.254069 3.739264 -v 0.244833 -0.244833 3.633872 -v 0.232992 -0.232992 3.510032 -v 0.212264 -0.212264 3.360459 -v 0.197638 -0.197637 3.230631 -v 0.182825 -0.182825 3.067004 -v 0.041180 -0.041180 4.261900 -v 0.083586 -0.083586 4.244913 -v 0.131313 -0.131313 4.215739 -v 0.378649 -0.378649 0.806825 -v 0.399002 -0.399002 0.913981 -v 0.414901 -0.414900 1.016411 -v 0.428905 -0.428905 1.113911 -v 0.436379 -0.436379 1.201608 -v 0.440933 -0.440933 1.330616 -v 0.437239 -0.437238 1.464567 -v 0.424328 -0.424328 1.591154 -v 0.410550 -0.410550 1.711867 -v 0.386588 -0.386588 1.853926 -v 0.368817 -0.368817 1.966751 -v 0.339140 -0.339140 2.083669 -v 0.311944 -0.311944 2.169900 -v 0.291528 -0.291527 2.253036 -v 0.265944 -0.265944 2.347208 -v 0.231226 -0.231226 2.450085 -v 0.207252 -0.207252 2.554795 -v 0.183396 -0.183396 2.702091 -v 0.176715 -0.176715 2.796793 -v 0.174612 -0.174612 2.903776 -v 0.176568 -0.176568 2.994897 -v 0.141663 -0.141663 0.000048 -v 0.181350 -0.181350 0.083046 -v 0.214258 -0.214258 0.162624 -v 0.241961 -0.241961 0.242451 -v 0.269606 -0.269606 0.336374 -v 0.298970 -0.298970 0.451435 -v 0.328392 -0.328392 0.561152 -v 0.354426 -0.354426 0.683269 -v 0.463080 -0.191814 0.683269 -v 0.429064 -0.177724 0.561152 -v 0.390623 -0.161801 0.451435 -v 0.352257 -0.145910 0.336374 -v 0.316138 -0.130948 0.242451 -v 0.279941 -0.115955 0.162624 -v 0.236945 -0.098146 0.083046 -v 0.185092 -0.076668 0.000048 -v 0.230697 -0.095558 2.994897 -v 0.228142 -0.094499 2.903776 -v 0.230890 -0.095638 2.796793 -v 0.239618 -0.099253 2.702091 -v 0.270787 -0.112164 2.554795 -v 0.302112 -0.125139 2.450085 -v 0.347473 -0.143928 2.347208 -v 0.380899 -0.157773 2.253036 -v 0.407575 -0.168823 2.169900 -v 0.443107 -0.183541 2.083669 -v 0.481883 -0.199602 1.966751 -v 0.505101 -0.209220 1.853926 -v 0.536409 -0.222188 1.711867 -v 0.554411 -0.229644 1.591154 -v 0.571280 -0.236632 1.464567 -v 0.576107 -0.238631 1.330616 -v 0.570156 -0.236166 1.201608 -v 0.560392 -0.232122 1.113911 -v 0.542094 -0.224542 1.016411 -v 0.521321 -0.215938 0.913981 -v 0.494728 -0.204923 0.806825 -v 0.171569 -0.071066 4.215739 -v 0.109210 -0.045236 4.244913 -v 0.053805 -0.022287 4.261900 -v 0.238873 -0.098944 3.067004 -v 0.258226 -0.106961 3.230631 -v 0.277336 -0.114876 3.360459 -v 0.304419 -0.126094 3.510032 -v 0.319889 -0.132502 3.633872 -v 0.331957 -0.137501 3.739264 -v 0.335318 -0.138893 3.826402 -v 0.332873 -0.137880 3.918832 -v 0.328631 -0.136123 3.972302 -v 0.317460 -0.131496 4.024184 -v 0.297363 -0.123172 4.073033 -v 0.257199 -0.106535 4.135764 -v 0.217764 -0.090201 4.181793 -v 0.235706 0.000000 4.181793 -v 0.278390 0.000000 4.135764 -v 0.321863 0.000000 4.073033 -v 0.343617 0.000000 4.024184 -v 0.355708 0.000000 3.972302 -v 0.360299 0.000000 3.918832 -v 0.362946 0.000000 3.826402 -v 0.359307 0.000000 3.739264 -v 0.346246 0.000000 3.633872 -v 0.329500 0.000000 3.510032 -v 0.300187 0.000000 3.360459 -v 0.279502 0.000000 3.230631 -v 0.258554 0.000000 3.067004 -v 0.058238 0.000000 4.261900 -v 0.118208 0.000000 4.244913 -v 0.185705 0.000000 4.215739 -v 0.535490 0.000000 0.806825 -v 0.564274 -0.000000 0.913981 -v 0.586758 0.000000 1.016411 -v 0.606563 -0.000000 1.113911 -v 0.617133 0.000000 1.201608 -v 0.623574 0.000000 1.330616 -v 0.618349 0.000000 1.464567 -v 0.600090 0.000000 1.591154 -v 0.580605 -0.000000 1.711867 -v 0.546718 0.000000 1.853926 -v 0.521586 0.000000 1.966751 -v 0.479616 0.000000 2.083669 -v 0.441156 0.000000 2.169900 -v 0.412282 0.000000 2.253036 -v 0.376102 0.000000 2.347208 -v 0.327003 0.000000 2.450085 -v 0.293098 0.000000 2.554795 -v 0.259360 0.000000 2.702091 -v 0.249913 0.000000 2.796793 -v 0.246939 0.000000 2.903776 -v 0.249705 0.000000 2.994897 -v 0.200342 0.000000 0.000048 -v 0.256468 0.000000 0.083046 -v 0.303006 0.000000 0.162624 -v 0.342185 0.000000 0.242451 -v 0.381281 -0.000000 0.336374 -v 0.422807 -0.000000 0.451435 -v 0.464416 0.000000 0.561152 -v 0.501234 0.000000 0.683269 -v 0.463080 0.191814 0.683269 -v 0.429064 0.177724 0.561152 -v 0.390623 0.161801 0.451435 -v 0.352257 0.145910 0.336374 -v 0.316138 0.130948 0.242451 -v 0.279941 0.115955 0.162624 -v 0.236945 0.098146 0.083046 -v 0.185092 0.076668 0.000048 -v 0.230697 0.095558 2.994897 -v 0.228142 0.094499 2.903776 -v 0.230890 0.095638 2.796793 -v 0.239618 0.099253 2.702091 -v 0.270787 0.112164 2.554795 -v 0.302111 0.125139 2.450085 -v 0.347473 0.143928 2.347208 -v 0.380899 0.157774 2.253036 -v 0.407575 0.168823 2.169900 -v 0.443107 0.183541 2.083669 -v 0.481883 0.199602 1.966751 -v 0.505101 0.209220 1.853926 -v 0.536409 0.222188 1.711867 -v 0.554411 0.229645 1.591154 -v 0.571280 0.236632 1.464567 -v 0.576107 0.238631 1.330616 -v 0.570156 0.236166 1.201608 -v 0.560392 0.232122 1.113911 -v 0.542094 0.224543 1.016411 -v 0.521321 0.215938 0.913981 -v 0.494728 0.204923 0.806825 -v 0.171569 0.071066 4.215739 -v 0.109210 0.045236 4.244913 -v 0.053805 0.022287 4.261900 -v 0.238873 0.098944 3.067004 -v 0.258226 0.106961 3.230631 -v 0.277336 0.114877 3.360459 -v 0.304419 0.126094 3.510032 -v 0.319889 0.132503 3.633872 -v 0.331957 0.137501 3.739264 -v 0.335318 0.138893 3.826402 -v 0.332873 0.137880 3.918832 -v 0.328631 0.136123 3.972302 -v 0.317460 0.131496 4.024184 -v 0.297363 0.123172 4.073033 -v 0.257199 0.106535 4.135764 -v 0.217764 0.090201 4.181793 -v 0.166669 0.166669 4.181793 -v 0.196851 0.196852 4.135764 -v 0.227592 0.227592 4.073033 -v 0.242973 0.242974 4.024184 -v 0.251523 0.251523 3.972302 -v 0.254770 0.254770 3.918832 -v 0.256641 0.256642 3.826402 -v 0.254069 0.254069 3.739264 -v 0.244833 0.244833 3.633872 -v 0.232992 0.232992 3.510032 -v 0.212264 0.212264 3.360459 -v 0.197637 0.197638 3.230631 -v 0.182825 0.182825 3.067004 -v 0.041180 0.041180 4.261900 -v 0.083586 0.083586 4.244913 -v 0.131313 0.131313 4.215739 -v 0.378649 0.378649 0.806825 -v 0.399002 0.399002 0.913981 -v 0.414900 0.414901 1.016411 -v 0.428905 0.428905 1.113911 -v 0.436379 0.436379 1.201608 -v 0.440933 0.440933 1.330616 -v 0.437238 0.437239 1.464567 -v 0.424327 0.424328 1.591154 -v 0.410549 0.410549 1.711867 -v 0.386588 0.386588 1.853926 -v 0.368817 0.368817 1.966751 -v 0.339140 0.339140 2.083669 -v 0.311944 0.311944 2.169900 -v 0.291527 0.291527 2.253036 -v 0.265944 0.265944 2.347208 -v 0.231226 0.231226 2.450085 -v 0.207252 0.207252 2.554795 -v 0.183395 0.183396 2.702091 -v 0.176715 0.176715 2.796793 -v 0.174612 0.174612 2.903776 -v 0.176568 0.176568 2.994897 -v 0.141663 0.141663 0.000048 -v 0.181350 0.181350 0.083046 -v 0.214258 0.214258 0.162624 -v 0.241961 0.241961 0.242451 -v 0.269606 0.269606 0.336374 -v 0.298970 0.298970 0.451435 -v 0.328392 0.328392 0.561152 -v 0.354426 0.354426 0.683269 -v 0.191814 0.463080 0.683269 -v 0.177724 0.429064 0.561152 -v 0.161801 0.390623 0.451435 -v 0.145910 0.352257 0.336374 -v 0.130948 0.316138 0.242451 -v 0.115955 0.279941 0.162624 -v 0.098146 0.236945 0.083046 -v 0.076668 0.185092 0.000048 -v 0.095558 0.230697 2.994897 -v 0.094499 0.228142 2.903776 -v 0.095637 0.230890 2.796793 -v 0.099253 0.239618 2.702091 -v 0.112164 0.270787 2.554795 -v 0.125139 0.302112 2.450085 -v 0.143928 0.347473 2.347208 -v 0.157773 0.380899 2.253036 -v 0.168823 0.407575 2.169900 -v 0.183541 0.443107 2.083669 -v 0.199602 0.481883 1.966751 -v 0.209220 0.505101 1.853926 -v 0.222188 0.536409 1.711867 -v 0.229644 0.554411 1.591154 -v 0.236632 0.571280 1.464567 -v 0.238631 0.576107 1.330616 -v 0.236166 0.570156 1.201608 -v 0.232122 0.560391 1.113911 -v 0.224542 0.542094 1.016411 -v 0.215938 0.521321 0.913981 -v 0.204923 0.494728 0.806825 -v 0.071066 0.171569 4.215739 -v 0.045236 0.109210 4.244913 -v 0.022286 0.053805 4.261900 -v 0.098944 0.238873 3.067004 -v 0.106960 0.258226 3.230631 -v 0.114876 0.277336 3.360459 -v 0.126094 0.304419 3.510032 -v 0.132502 0.319889 3.633872 -v 0.137501 0.331957 3.739264 -v 0.138893 0.335318 3.826402 -v 0.137880 0.332873 3.918832 -v 0.136123 0.328631 3.972302 -v 0.131496 0.317460 4.024184 -v 0.123172 0.297363 4.073033 -v 0.106535 0.257199 4.135764 -v 0.090201 0.217764 4.181793 -v -0.000000 0.235706 4.181793 -v -0.000000 0.278390 4.135764 -v -0.000000 0.321863 4.073033 -v -0.000000 0.343616 4.024184 -v -0.000000 0.355707 3.972302 -v -0.000000 0.360299 3.918832 -v -0.000000 0.362946 3.826402 -v -0.000000 0.359307 3.739264 -v -0.000000 0.346246 3.633872 -v -0.000000 0.329500 3.510032 -v -0.000000 0.300187 3.360459 -v -0.000000 0.279502 3.230631 -v -0.000000 0.258554 3.067004 -v -0.000000 0.058238 4.261900 -v -0.000000 0.118208 4.244913 -v -0.000000 0.185705 4.215739 -v -0.000000 0.535490 0.806825 -v 0.000000 0.564274 0.913981 -v -0.000000 0.586758 1.016411 -v 0.000000 0.606563 1.113911 -v -0.000000 0.617133 1.201608 -v -0.000000 0.623574 1.330616 -v -0.000000 0.618348 1.464567 -v -0.000000 0.600090 1.591154 -v 0.000000 0.580605 1.711867 -v -0.000000 0.546718 1.853926 -v -0.000000 0.521586 1.966751 -v -0.000000 0.479616 2.083669 -v -0.000000 0.441156 2.169900 -v -0.000000 0.412282 2.253036 -v -0.000000 0.376102 2.347208 -v -0.000000 0.327003 2.450085 -v -0.000000 0.293098 2.554795 -v -0.000000 0.259360 2.702091 -v -0.000000 0.249913 2.796793 -v -0.000000 0.246939 2.903776 -v -0.000000 0.249705 2.994897 -v -0.000000 0.200342 0.000048 -v 0.000000 0.256468 0.083046 -v -0.000000 0.303006 0.162624 -v -0.000000 0.342185 0.242451 -v 0.000000 0.381281 0.336374 -v -0.000000 0.422807 0.451435 -v -0.000000 0.464416 0.561152 -v -0.000000 0.501234 0.683269 -v -0.191814 0.463080 0.683269 -v -0.177724 0.429064 0.561152 -v -0.161801 0.390622 0.451435 -v -0.145910 0.352257 0.336374 -v -0.130949 0.316138 0.242451 -v -0.115955 0.279941 0.162624 -v -0.098146 0.236945 0.083046 -v -0.076668 0.185092 0.000048 -v -0.095558 0.230697 2.994897 -v -0.094499 0.228142 2.903776 -v -0.095638 0.230889 2.796793 -v -0.099253 0.239618 2.702091 -v -0.112164 0.270787 2.554795 -v -0.125139 0.302111 2.450085 -v -0.143928 0.347472 2.347208 -v -0.157774 0.380899 2.253036 -v -0.168823 0.407575 2.169900 -v -0.183541 0.443107 2.083669 -v -0.199602 0.481882 1.966751 -v -0.209220 0.505101 1.853926 -v -0.222188 0.536409 1.711867 -v -0.229645 0.554410 1.591154 -v -0.236632 0.571279 1.464567 -v -0.238631 0.576107 1.330616 -v -0.236167 0.570156 1.201608 -v -0.232122 0.560391 1.113911 -v -0.224543 0.542093 1.016411 -v -0.215938 0.521321 0.913981 -v -0.204923 0.494728 0.806825 -v -0.071066 0.171569 4.215739 -v -0.045236 0.109210 4.244913 -v -0.022287 0.053805 4.261900 -v -0.000000 0.000001 4.267636 -v -0.098944 0.238873 3.067004 -v -0.106961 0.258226 3.230631 -v -0.114877 0.277336 3.360459 -v -0.126094 0.304419 3.510032 -v -0.132503 0.319889 3.633872 -v -0.137501 0.331957 3.739264 -v -0.138894 0.335318 3.826402 -v -0.137881 0.332872 3.918832 -v -0.136124 0.328631 3.972302 -v -0.131497 0.317460 4.024184 -v -0.123172 0.297363 4.073033 -v -0.106535 0.257199 4.135764 -v -0.090201 0.217764 4.181793 -v -0.166669 0.166669 4.181793 -v -0.196852 0.196851 4.135764 -v -0.227592 0.227592 4.073033 -v -0.242974 0.242973 4.024184 -v -0.251523 0.251523 3.972302 -v -0.254770 0.254769 3.918832 -v -0.256642 0.256641 3.826402 -v -0.254069 0.254069 3.739264 -v -0.244833 0.244833 3.633872 -v -0.232992 0.232992 3.510032 -v -0.212264 0.212264 3.360459 -v -0.197638 0.197637 3.230631 -v -0.182825 0.182825 3.067004 -v -0.041180 0.041180 4.261900 -v -0.083586 0.083586 4.244913 -v -0.131313 0.131313 4.215739 -v -0.378649 0.378649 0.806825 -v -0.399002 0.399002 0.913981 -v -0.414900 0.414900 1.016411 -v -0.428905 0.428905 1.113911 -v -0.436379 0.436379 1.201608 -v -0.440933 0.440933 1.330616 -v -0.437238 0.437238 1.464567 -v -0.424328 0.424327 1.591154 -v -0.410549 0.410549 1.711867 -v -0.386588 0.386588 1.853926 -v -0.368817 0.368817 1.966751 -v -0.339140 0.339140 2.083669 -v -0.311944 0.311944 2.169900 -v -0.291527 0.291527 2.253036 -v -0.265944 0.265944 2.347208 -v -0.231226 0.231226 2.450085 -v -0.207252 0.207252 2.554795 -v -0.183396 0.183395 2.702091 -v -0.176715 0.176715 2.796793 -v -0.174612 0.174612 2.903776 -v -0.176568 0.176568 2.994897 -v -0.000003 0.000003 0.000008 -v -0.141663 0.141663 0.000048 -v -0.181350 0.181350 0.083046 -v -0.214258 0.214258 0.162624 -v -0.241961 0.241961 0.242451 -v -0.269606 0.269606 0.336374 -v -0.298970 0.298970 0.451435 -v -0.328392 0.328391 0.561152 -v -0.354426 0.354426 0.683269 -v -0.463080 0.191814 0.683269 -v -0.429064 0.177724 0.561152 -v -0.390623 0.161801 0.451435 -v -0.352257 0.145910 0.336374 -v -0.316138 0.130948 0.242451 -v -0.279941 0.115955 0.162624 -v -0.236945 0.098146 0.083046 -v -0.185092 0.076668 0.000048 -v -0.230697 0.095558 2.994897 -v -0.228142 0.094499 2.903776 -v -0.230890 0.095637 2.796793 -v -0.239618 0.099253 2.702091 -v -0.270787 0.112164 2.554795 -v -0.302112 0.125139 2.450085 -v -0.347472 0.143928 2.347208 -v -0.380899 0.157773 2.253036 -v -0.407575 0.168823 2.169900 -v -0.443107 0.183541 2.083669 -v -0.481882 0.199602 1.966751 -v -0.505101 0.209220 1.853926 -v -0.536409 0.222188 1.711867 -v -0.554411 0.229644 1.591154 -v -0.571279 0.236632 1.464567 -v -0.576107 0.238631 1.330616 -v -0.570156 0.236166 1.201608 -v -0.560391 0.232122 1.113911 -v -0.542094 0.224542 1.016411 -v -0.521321 0.215938 0.913981 -v -0.494728 0.204923 0.806825 -v -0.171569 0.071066 4.215739 -v -0.109210 0.045236 4.244913 -v -0.053805 0.022286 4.261900 -v -0.238873 0.098944 3.067004 -v -0.258226 0.106960 3.230631 -v -0.277336 0.114876 3.360459 -v -0.304419 0.126094 3.510032 -v -0.319889 0.132502 3.633872 -v -0.331957 0.137501 3.739264 -v -0.335318 0.138893 3.826402 -v -0.332873 0.137880 3.918832 -v -0.328631 0.136123 3.972302 -v -0.317460 0.131496 4.024184 -v -0.297363 0.123172 4.073033 -v -0.257199 0.106535 4.135764 -v -0.217764 0.090200 4.181793 +v -0.235706 -0.000000 2.431793 +v -0.278390 -0.000000 2.385764 +v -0.321863 -0.000000 2.323033 +v -0.343617 -0.000000 2.274184 +v -0.355708 -0.000000 2.222302 +v -0.360299 -0.000000 2.168832 +v -0.362946 -0.000000 2.076402 +v -0.359307 -0.000000 1.989264 +v -0.346246 -0.000000 1.883872 +v -0.329500 -0.000000 1.760032 +v -0.300187 -0.000000 1.610459 +v -0.279502 -0.000000 1.480631 +v -0.258554 -0.000000 1.317004 +v -0.058238 -0.000000 2.511900 +v -0.118208 -0.000000 2.494913 +v -0.185705 -0.000000 2.465739 +v -0.535490 -0.000000 -0.943175 +v -0.564274 -0.000000 -0.836019 +v -0.586758 -0.000000 -0.733589 +v -0.606564 -0.000000 -0.636089 +v -0.617133 -0.000000 -0.548392 +v -0.623574 -0.000000 -0.419384 +v -0.618349 -0.000000 -0.285433 +v -0.600090 -0.000000 -0.158846 +v -0.580605 -0.000000 -0.038133 +v -0.546718 -0.000000 0.103926 +v -0.521586 -0.000000 0.216751 +v -0.479616 -0.000000 0.333669 +v -0.441156 -0.000000 0.419900 +v -0.412282 -0.000000 0.503036 +v -0.376102 -0.000000 0.597208 +v -0.327003 -0.000000 0.700085 +v -0.293098 -0.000000 0.804795 +v -0.259360 -0.000000 0.952091 +v -0.249913 -0.000000 1.046793 +v -0.246939 -0.000000 1.153776 +v -0.249705 -0.000000 1.244897 +v -0.200342 -0.000000 -1.749952 +v -0.256468 -0.000000 -1.666954 +v -0.303006 -0.000000 -1.587376 +v -0.342185 -0.000000 -1.507549 +v -0.381281 -0.000000 -1.413626 +v -0.422807 -0.000000 -1.298565 +v -0.464416 -0.000000 -1.188848 +v -0.501234 -0.000000 -1.066731 +v -0.463080 -0.191814 -1.066731 +v -0.429064 -0.177724 -1.188848 +v -0.390623 -0.161801 -1.298565 +v -0.352258 -0.145910 -1.413626 +v -0.316138 -0.130949 -1.507549 +v -0.279941 -0.115956 -1.587376 +v -0.236946 -0.098146 -1.666954 +v -0.185092 -0.076668 -1.749952 +v -0.230697 -0.095558 1.244897 +v -0.228142 -0.094500 1.153776 +v -0.230890 -0.095638 1.046793 +v -0.239618 -0.099253 0.952091 +v -0.270787 -0.112164 0.804795 +v -0.302112 -0.125139 0.700085 +v -0.347473 -0.143928 0.597208 +v -0.380899 -0.157774 0.503036 +v -0.407575 -0.168823 0.419900 +v -0.443107 -0.183541 0.333669 +v -0.481883 -0.199602 0.216751 +v -0.505101 -0.209220 0.103926 +v -0.536409 -0.222188 -0.038133 +v -0.554411 -0.229645 -0.158846 +v -0.571280 -0.236632 -0.285433 +v -0.576107 -0.238631 -0.419384 +v -0.570156 -0.236167 -0.548392 +v -0.560392 -0.232122 -0.636089 +v -0.542094 -0.224543 -0.733589 +v -0.521321 -0.215938 -0.836019 +v -0.494728 -0.204923 -0.943175 +v -0.171569 -0.071066 2.465739 +v -0.109210 -0.045236 2.494913 +v -0.053805 -0.022287 2.511900 +v -0.238873 -0.098944 1.317004 +v -0.258226 -0.106961 1.480631 +v -0.277336 -0.114877 1.610459 +v -0.304419 -0.126094 1.760032 +v -0.319889 -0.132503 1.883872 +v -0.331957 -0.137501 1.989264 +v -0.335318 -0.138894 2.076402 +v -0.332873 -0.137881 2.168832 +v -0.328631 -0.136124 2.222302 +v -0.317460 -0.131497 2.274184 +v -0.297363 -0.123172 2.323033 +v -0.257199 -0.106535 2.385764 +v -0.217764 -0.090201 2.431793 +v -0.166669 -0.166669 2.431793 +v -0.196851 -0.196852 2.385764 +v -0.227592 -0.227592 2.323033 +v -0.242974 -0.242974 2.274184 +v -0.251523 -0.251523 2.222302 +v -0.254770 -0.254770 2.168832 +v -0.256641 -0.256642 2.076402 +v -0.254069 -0.254069 1.989264 +v -0.244833 -0.244833 1.883872 +v -0.232992 -0.232992 1.760032 +v -0.212264 -0.212264 1.610459 +v -0.197637 -0.197638 1.480631 +v -0.182825 -0.182825 1.317004 +v -0.041180 -0.041180 2.511900 +v -0.083586 -0.083586 2.494913 +v -0.131313 -0.131313 2.465739 +v -0.378649 -0.378649 -0.943175 +v -0.399002 -0.399002 -0.836019 +v -0.414901 -0.414901 -0.733589 +v -0.428905 -0.428905 -0.636089 +v -0.436379 -0.436379 -0.548392 +v -0.440933 -0.440933 -0.419384 +v -0.437239 -0.437239 -0.285433 +v -0.424328 -0.424328 -0.158846 +v -0.410550 -0.410550 -0.038133 +v -0.386588 -0.386588 0.103926 +v -0.368817 -0.368817 0.216751 +v -0.339140 -0.339140 0.333669 +v -0.311944 -0.311945 0.419900 +v -0.291527 -0.291528 0.503036 +v -0.265944 -0.265944 0.597208 +v -0.231226 -0.231226 0.700085 +v -0.207252 -0.207252 0.804795 +v -0.183395 -0.183396 0.952091 +v -0.176715 -0.176715 1.046793 +v -0.174612 -0.174612 1.153776 +v -0.176568 -0.176568 1.244897 +v -0.141663 -0.141663 -1.749952 +v -0.181350 -0.181350 -1.666954 +v -0.214258 -0.214258 -1.587376 +v -0.241961 -0.241961 -1.507549 +v -0.269606 -0.269606 -1.413626 +v -0.298970 -0.298970 -1.298565 +v -0.328392 -0.328392 -1.188848 +v -0.354426 -0.354426 -1.066731 +v -0.191814 -0.463080 -1.066731 +v -0.177724 -0.429064 -1.188848 +v -0.161801 -0.390623 -1.298565 +v -0.145910 -0.352258 -1.413626 +v -0.130948 -0.316138 -1.507549 +v -0.115955 -0.279941 -1.587376 +v -0.098146 -0.236946 -1.666954 +v -0.076668 -0.185092 -1.749952 +v -0.095558 -0.230697 1.244897 +v -0.094499 -0.228142 1.153776 +v -0.095638 -0.230890 1.046793 +v -0.099253 -0.239618 0.952091 +v -0.112164 -0.270787 0.804795 +v -0.125139 -0.302112 0.700085 +v -0.143928 -0.347473 0.597208 +v -0.157773 -0.380899 0.503036 +v -0.168823 -0.407575 0.419900 +v -0.183541 -0.443108 0.333669 +v -0.199602 -0.481883 0.216751 +v -0.209220 -0.505101 0.103926 +v -0.222188 -0.536409 -0.038133 +v -0.229644 -0.554411 -0.158846 +v -0.236632 -0.571280 -0.285433 +v -0.238631 -0.576107 -0.419384 +v -0.236166 -0.570156 -0.548392 +v -0.232122 -0.560392 -0.636089 +v -0.224543 -0.542094 -0.733589 +v -0.215938 -0.521321 -0.836019 +v -0.204923 -0.494728 -0.943175 +v -0.071066 -0.171569 2.465739 +v -0.045236 -0.109210 2.494913 +v -0.022286 -0.053805 2.511900 +v -0.098944 -0.238873 1.317004 +v -0.106961 -0.258226 1.480631 +v -0.114876 -0.277337 1.610459 +v -0.126094 -0.304419 1.760032 +v -0.132502 -0.319889 1.883872 +v -0.137501 -0.331957 1.989264 +v -0.138893 -0.335318 2.076402 +v -0.137880 -0.332873 2.168832 +v -0.136123 -0.328631 2.222302 +v -0.131496 -0.317460 2.274184 +v -0.123172 -0.297363 2.323033 +v -0.106535 -0.257199 2.385764 +v -0.090201 -0.217764 2.431793 +v 0.000000 -0.235706 2.431793 +v 0.000000 -0.278390 2.385764 +v 0.000000 -0.321863 2.323033 +v 0.000000 -0.343617 2.274184 +v 0.000000 -0.355708 2.222302 +v 0.000000 -0.360299 2.168832 +v 0.000000 -0.362946 2.076402 +v 0.000000 -0.359307 1.989264 +v 0.000000 -0.346246 1.883872 +v 0.000000 -0.329500 1.760032 +v 0.000000 -0.300187 1.610459 +v 0.000000 -0.279502 1.480631 +v 0.000000 -0.258554 1.317004 +v 0.000000 -0.058238 2.511900 +v 0.000000 -0.118208 2.494913 +v 0.000000 -0.185705 2.465739 +v 0.000000 -0.535490 -0.943175 +v 0.000000 -0.564274 -0.836019 +v 0.000000 -0.586758 -0.733589 +v 0.000000 -0.606564 -0.636089 +v 0.000000 -0.617133 -0.548392 +v 0.000000 -0.623574 -0.419384 +v 0.000000 -0.618349 -0.285433 +v 0.000000 -0.600090 -0.158846 +v 0.000000 -0.580605 -0.038133 +v 0.000000 -0.546718 0.103926 +v 0.000000 -0.521586 0.216751 +v 0.000000 -0.479616 0.333669 +v 0.000000 -0.441156 0.419900 +v 0.000000 -0.412282 0.503036 +v 0.000000 -0.376102 0.597208 +v 0.000000 -0.327003 0.700085 +v 0.000000 -0.293098 0.804795 +v 0.000000 -0.259361 0.952091 +v 0.000000 -0.249913 1.046793 +v 0.000000 -0.246939 1.153776 +v 0.000000 -0.249705 1.244897 +v 0.000000 -0.200342 -1.749952 +v 0.000000 -0.256468 -1.666954 +v 0.000000 -0.303006 -1.587376 +v 0.000000 -0.342185 -1.507549 +v 0.000000 -0.381281 -1.413626 +v 0.000000 -0.422807 -1.298565 +v 0.000000 -0.464416 -1.188848 +v 0.000000 -0.501234 -1.066731 +v 0.191814 -0.463080 -1.066731 +v 0.177724 -0.429064 -1.188848 +v 0.161801 -0.390623 -1.298565 +v 0.145910 -0.352258 -1.413626 +v 0.130949 -0.316138 -1.507549 +v 0.115955 -0.279941 -1.587376 +v 0.098146 -0.236945 -1.666954 +v 0.076668 -0.185092 -1.749952 +v 0.095558 -0.230697 1.244897 +v 0.094500 -0.228142 1.153776 +v 0.095638 -0.230890 1.046793 +v 0.099253 -0.239618 0.952091 +v 0.112164 -0.270787 0.804795 +v 0.125139 -0.302112 0.700085 +v 0.143928 -0.347473 0.597208 +v 0.157774 -0.380899 0.503036 +v 0.168823 -0.407575 0.419900 +v 0.183541 -0.443107 0.333669 +v 0.199602 -0.481883 0.216751 +v 0.209220 -0.505101 0.103926 +v 0.222188 -0.536409 -0.038133 +v 0.229645 -0.554411 -0.158846 +v 0.236632 -0.571280 -0.285433 +v 0.238631 -0.576107 -0.419384 +v 0.236166 -0.570156 -0.548392 +v 0.232122 -0.560392 -0.636089 +v 0.224543 -0.542094 -0.733589 +v 0.215938 -0.521321 -0.836019 +v 0.204923 -0.494728 -0.943175 +v 0.071066 -0.171569 2.465739 +v 0.045236 -0.109210 2.494913 +v 0.022287 -0.053805 2.511900 +v 0.098944 -0.238873 1.317004 +v 0.106961 -0.258226 1.480631 +v 0.114877 -0.277336 1.610459 +v 0.126094 -0.304419 1.760032 +v 0.132503 -0.319889 1.883872 +v 0.137501 -0.331957 1.989264 +v 0.138894 -0.335318 2.076402 +v 0.137881 -0.332873 2.168832 +v 0.136124 -0.328631 2.222302 +v 0.131497 -0.317460 2.274184 +v 0.123172 -0.297363 2.323033 +v 0.106535 -0.257199 2.385764 +v 0.090201 -0.217764 2.431793 +v 0.166669 -0.166669 2.431793 +v 0.196852 -0.196851 2.385764 +v 0.227592 -0.227592 2.323033 +v 0.242974 -0.242974 2.274184 +v 0.251523 -0.251523 2.222302 +v 0.254770 -0.254770 2.168832 +v 0.256642 -0.256641 2.076402 +v 0.254069 -0.254069 1.989264 +v 0.244833 -0.244833 1.883872 +v 0.232992 -0.232992 1.760032 +v 0.212264 -0.212264 1.610459 +v 0.197638 -0.197637 1.480631 +v 0.182825 -0.182825 1.317004 +v 0.041180 -0.041180 2.511900 +v 0.083586 -0.083586 2.494913 +v 0.131313 -0.131313 2.465739 +v 0.378649 -0.378649 -0.943175 +v 0.399002 -0.399002 -0.836019 +v 0.414901 -0.414900 -0.733589 +v 0.428905 -0.428905 -0.636089 +v 0.436379 -0.436379 -0.548392 +v 0.440933 -0.440933 -0.419384 +v 0.437239 -0.437238 -0.285433 +v 0.424328 -0.424328 -0.158846 +v 0.410550 -0.410550 -0.038133 +v 0.386588 -0.386588 0.103926 +v 0.368817 -0.368817 0.216751 +v 0.339140 -0.339140 0.333669 +v 0.311944 -0.311944 0.419900 +v 0.291528 -0.291527 0.503036 +v 0.265944 -0.265944 0.597208 +v 0.231226 -0.231226 0.700085 +v 0.207252 -0.207252 0.804795 +v 0.183396 -0.183396 0.952091 +v 0.176715 -0.176715 1.046793 +v 0.174612 -0.174612 1.153776 +v 0.176568 -0.176568 1.244897 +v 0.141663 -0.141663 -1.749952 +v 0.181350 -0.181350 -1.666954 +v 0.214258 -0.214258 -1.587376 +v 0.241961 -0.241961 -1.507549 +v 0.269606 -0.269606 -1.413626 +v 0.298970 -0.298970 -1.298565 +v 0.328392 -0.328392 -1.188848 +v 0.354426 -0.354426 -1.066731 +v 0.463080 -0.191814 -1.066731 +v 0.429064 -0.177724 -1.188848 +v 0.390623 -0.161801 -1.298565 +v 0.352257 -0.145910 -1.413626 +v 0.316138 -0.130948 -1.507549 +v 0.279941 -0.115955 -1.587376 +v 0.236945 -0.098146 -1.666954 +v 0.185092 -0.076668 -1.749952 +v 0.230697 -0.095558 1.244897 +v 0.228142 -0.094499 1.153776 +v 0.230890 -0.095638 1.046793 +v 0.239618 -0.099253 0.952091 +v 0.270787 -0.112164 0.804795 +v 0.302112 -0.125139 0.700085 +v 0.347473 -0.143928 0.597208 +v 0.380899 -0.157773 0.503036 +v 0.407575 -0.168823 0.419900 +v 0.443107 -0.183541 0.333669 +v 0.481883 -0.199602 0.216751 +v 0.505101 -0.209220 0.103926 +v 0.536409 -0.222188 -0.038133 +v 0.554411 -0.229644 -0.158846 +v 0.571280 -0.236632 -0.285433 +v 0.576107 -0.238631 -0.419384 +v 0.570156 -0.236166 -0.548392 +v 0.560392 -0.232122 -0.636089 +v 0.542094 -0.224542 -0.733589 +v 0.521321 -0.215938 -0.836019 +v 0.494728 -0.204923 -0.943175 +v 0.171569 -0.071066 2.465739 +v 0.109210 -0.045236 2.494913 +v 0.053805 -0.022287 2.511900 +v 0.238873 -0.098944 1.317004 +v 0.258226 -0.106961 1.480631 +v 0.277336 -0.114876 1.610459 +v 0.304419 -0.126094 1.760032 +v 0.319889 -0.132502 1.883872 +v 0.331957 -0.137501 1.989264 +v 0.335318 -0.138893 2.076402 +v 0.332873 -0.137880 2.168832 +v 0.328631 -0.136123 2.222302 +v 0.317460 -0.131496 2.274184 +v 0.297363 -0.123172 2.323033 +v 0.257199 -0.106535 2.385764 +v 0.217764 -0.090201 2.431793 +v 0.235706 0.000000 2.431793 +v 0.278390 0.000000 2.385764 +v 0.321863 0.000000 2.323033 +v 0.343617 0.000000 2.274184 +v 0.355708 0.000000 2.222302 +v 0.360299 0.000000 2.168832 +v 0.362946 0.000000 2.076402 +v 0.359307 0.000000 1.989264 +v 0.346246 0.000000 1.883872 +v 0.329500 0.000000 1.760032 +v 0.300187 0.000000 1.610459 +v 0.279502 0.000000 1.480631 +v 0.258554 0.000000 1.317004 +v 0.058238 0.000000 2.511900 +v 0.118208 0.000000 2.494913 +v 0.185705 0.000000 2.465739 +v 0.535490 0.000000 -0.943175 +v 0.564274 -0.000000 -0.836019 +v 0.586758 0.000000 -0.733589 +v 0.606563 -0.000000 -0.636089 +v 0.617133 0.000000 -0.548392 +v 0.623574 0.000000 -0.419384 +v 0.618349 0.000000 -0.285433 +v 0.600090 0.000000 -0.158846 +v 0.580605 -0.000000 -0.038133 +v 0.546718 0.000000 0.103926 +v 0.521586 0.000000 0.216751 +v 0.479616 0.000000 0.333669 +v 0.441156 0.000000 0.419900 +v 0.412282 0.000000 0.503036 +v 0.376102 0.000000 0.597208 +v 0.327003 0.000000 0.700085 +v 0.293098 0.000000 0.804795 +v 0.259360 0.000000 0.952091 +v 0.249913 0.000000 1.046793 +v 0.246939 0.000000 1.153776 +v 0.249705 0.000000 1.244897 +v 0.200342 0.000000 -1.749952 +v 0.256468 0.000000 -1.666954 +v 0.303006 0.000000 -1.587376 +v 0.342185 0.000000 -1.507549 +v 0.381281 -0.000000 -1.413626 +v 0.422807 -0.000000 -1.298565 +v 0.464416 0.000000 -1.188848 +v 0.501234 0.000000 -1.066731 +v 0.463080 0.191814 -1.066731 +v 0.429064 0.177724 -1.188848 +v 0.390623 0.161801 -1.298565 +v 0.352257 0.145910 -1.413626 +v 0.316138 0.130948 -1.507549 +v 0.279941 0.115955 -1.587376 +v 0.236945 0.098146 -1.666954 +v 0.185092 0.076668 -1.749952 +v 0.230697 0.095558 1.244897 +v 0.228142 0.094499 1.153776 +v 0.230890 0.095638 1.046793 +v 0.239618 0.099253 0.952091 +v 0.270787 0.112164 0.804795 +v 0.302111 0.125139 0.700085 +v 0.347473 0.143928 0.597208 +v 0.380899 0.157774 0.503036 +v 0.407575 0.168823 0.419900 +v 0.443107 0.183541 0.333669 +v 0.481883 0.199602 0.216751 +v 0.505101 0.209220 0.103926 +v 0.536409 0.222188 -0.038133 +v 0.554411 0.229645 -0.158846 +v 0.571280 0.236632 -0.285433 +v 0.576107 0.238631 -0.419384 +v 0.570156 0.236166 -0.548392 +v 0.560392 0.232122 -0.636089 +v 0.542094 0.224543 -0.733589 +v 0.521321 0.215938 -0.836019 +v 0.494728 0.204923 -0.943175 +v 0.171569 0.071066 2.465739 +v 0.109210 0.045236 2.494913 +v 0.053805 0.022287 2.511900 +v 0.238873 0.098944 1.317004 +v 0.258226 0.106961 1.480631 +v 0.277336 0.114877 1.610459 +v 0.304419 0.126094 1.760032 +v 0.319889 0.132503 1.883872 +v 0.331957 0.137501 1.989264 +v 0.335318 0.138893 2.076402 +v 0.332873 0.137880 2.168832 +v 0.328631 0.136123 2.222302 +v 0.317460 0.131496 2.274184 +v 0.297363 0.123172 2.323033 +v 0.257199 0.106535 2.385764 +v 0.217764 0.090201 2.431793 +v 0.166669 0.166669 2.431793 +v 0.196851 0.196852 2.385764 +v 0.227592 0.227592 2.323033 +v 0.242973 0.242974 2.274184 +v 0.251523 0.251523 2.222302 +v 0.254770 0.254770 2.168832 +v 0.256641 0.256642 2.076402 +v 0.254069 0.254069 1.989264 +v 0.244833 0.244833 1.883872 +v 0.232992 0.232992 1.760032 +v 0.212264 0.212264 1.610459 +v 0.197637 0.197638 1.480631 +v 0.182825 0.182825 1.317004 +v 0.041180 0.041180 2.511900 +v 0.083586 0.083586 2.494913 +v 0.131313 0.131313 2.465739 +v 0.378649 0.378649 -0.943175 +v 0.399002 0.399002 -0.836019 +v 0.414900 0.414901 -0.733589 +v 0.428905 0.428905 -0.636089 +v 0.436379 0.436379 -0.548392 +v 0.440933 0.440933 -0.419384 +v 0.437238 0.437239 -0.285433 +v 0.424327 0.424328 -0.158846 +v 0.410549 0.410549 -0.038133 +v 0.386588 0.386588 0.103926 +v 0.368817 0.368817 0.216751 +v 0.339140 0.339140 0.333669 +v 0.311944 0.311944 0.419900 +v 0.291527 0.291527 0.503036 +v 0.265944 0.265944 0.597208 +v 0.231226 0.231226 0.700085 +v 0.207252 0.207252 0.804795 +v 0.183395 0.183396 0.952091 +v 0.176715 0.176715 1.046793 +v 0.174612 0.174612 1.153776 +v 0.176568 0.176568 1.244897 +v 0.141663 0.141663 -1.749952 +v 0.181350 0.181350 -1.666954 +v 0.214258 0.214258 -1.587376 +v 0.241961 0.241961 -1.507549 +v 0.269606 0.269606 -1.413626 +v 0.298970 0.298970 -1.298565 +v 0.328392 0.328392 -1.188848 +v 0.354426 0.354426 -1.066731 +v 0.191814 0.463080 -1.066731 +v 0.177724 0.429064 -1.188848 +v 0.161801 0.390623 -1.298565 +v 0.145910 0.352257 -1.413626 +v 0.130948 0.316138 -1.507549 +v 0.115955 0.279941 -1.587376 +v 0.098146 0.236945 -1.666954 +v 0.076668 0.185092 -1.749952 +v 0.095558 0.230697 1.244897 +v 0.094499 0.228142 1.153776 +v 0.095637 0.230890 1.046793 +v 0.099253 0.239618 0.952091 +v 0.112164 0.270787 0.804795 +v 0.125139 0.302112 0.700085 +v 0.143928 0.347473 0.597208 +v 0.157773 0.380899 0.503036 +v 0.168823 0.407575 0.419900 +v 0.183541 0.443107 0.333669 +v 0.199602 0.481883 0.216751 +v 0.209220 0.505101 0.103926 +v 0.222188 0.536409 -0.038133 +v 0.229644 0.554411 -0.158846 +v 0.236632 0.571280 -0.285433 +v 0.238631 0.576107 -0.419384 +v 0.236166 0.570156 -0.548392 +v 0.232122 0.560391 -0.636089 +v 0.224542 0.542094 -0.733589 +v 0.215938 0.521321 -0.836019 +v 0.204923 0.494728 -0.943175 +v 0.071066 0.171569 2.465739 +v 0.045236 0.109210 2.494913 +v 0.022286 0.053805 2.511900 +v 0.098944 0.238873 1.317004 +v 0.106960 0.258226 1.480631 +v 0.114876 0.277336 1.610459 +v 0.126094 0.304419 1.760032 +v 0.132502 0.319889 1.883872 +v 0.137501 0.331957 1.989264 +v 0.138893 0.335318 2.076402 +v 0.137880 0.332873 2.168832 +v 0.136123 0.328631 2.222302 +v 0.131496 0.317460 2.274184 +v 0.123172 0.297363 2.323033 +v 0.106535 0.257199 2.385764 +v 0.090201 0.217764 2.431793 +v -0.000000 0.235706 2.431793 +v -0.000000 0.278390 2.385764 +v -0.000000 0.321863 2.323033 +v -0.000000 0.343616 2.274184 +v -0.000000 0.355707 2.222302 +v -0.000000 0.360299 2.168832 +v -0.000000 0.362946 2.076402 +v -0.000000 0.359307 1.989264 +v -0.000000 0.346246 1.883872 +v -0.000000 0.329500 1.760032 +v -0.000000 0.300187 1.610459 +v -0.000000 0.279502 1.480631 +v -0.000000 0.258554 1.317004 +v -0.000000 0.058238 2.511900 +v -0.000000 0.118208 2.494913 +v -0.000000 0.185705 2.465739 +v -0.000000 0.535490 -0.943175 +v 0.000000 0.564274 -0.836019 +v -0.000000 0.586758 -0.733589 +v 0.000000 0.606563 -0.636089 +v -0.000000 0.617133 -0.548392 +v -0.000000 0.623574 -0.419384 +v -0.000000 0.618348 -0.285433 +v -0.000000 0.600090 -0.158846 +v 0.000000 0.580605 -0.038133 +v -0.000000 0.546718 0.103926 +v -0.000000 0.521586 0.216751 +v -0.000000 0.479616 0.333669 +v -0.000000 0.441156 0.419900 +v -0.000000 0.412282 0.503036 +v -0.000000 0.376102 0.597208 +v -0.000000 0.327003 0.700085 +v -0.000000 0.293098 0.804795 +v -0.000000 0.259360 0.952091 +v -0.000000 0.249913 1.046793 +v -0.000000 0.246939 1.153776 +v -0.000000 0.249705 1.244897 +v -0.000000 0.200342 -1.749952 +v 0.000000 0.256468 -1.666954 +v -0.000000 0.303006 -1.587376 +v -0.000000 0.342185 -1.507549 +v 0.000000 0.381281 -1.413626 +v -0.000000 0.422807 -1.298565 +v -0.000000 0.464416 -1.188848 +v -0.000000 0.501234 -1.066731 +v -0.191814 0.463080 -1.066731 +v -0.177724 0.429064 -1.188848 +v -0.161801 0.390622 -1.298565 +v -0.145910 0.352257 -1.413626 +v -0.130949 0.316138 -1.507549 +v -0.115955 0.279941 -1.587376 +v -0.098146 0.236945 -1.666954 +v -0.076668 0.185092 -1.749952 +v -0.095558 0.230697 1.244897 +v -0.094499 0.228142 1.153776 +v -0.095638 0.230889 1.046793 +v -0.099253 0.239618 0.952091 +v -0.112164 0.270787 0.804795 +v -0.125139 0.302111 0.700085 +v -0.143928 0.347472 0.597208 +v -0.157774 0.380899 0.503036 +v -0.168823 0.407575 0.419900 +v -0.183541 0.443107 0.333669 +v -0.199602 0.481882 0.216751 +v -0.209220 0.505101 0.103926 +v -0.222188 0.536409 -0.038133 +v -0.229645 0.554410 -0.158846 +v -0.236632 0.571279 -0.285433 +v -0.238631 0.576107 -0.419384 +v -0.236167 0.570156 -0.548392 +v -0.232122 0.560391 -0.636089 +v -0.224543 0.542093 -0.733589 +v -0.215938 0.521321 -0.836019 +v -0.204923 0.494728 -0.943175 +v -0.071066 0.171569 2.465739 +v -0.045236 0.109210 2.494913 +v -0.022287 0.053805 2.511900 +v -0.000000 0.000001 2.517636 +v -0.098944 0.238873 1.317004 +v -0.106961 0.258226 1.480631 +v -0.114877 0.277336 1.610459 +v -0.126094 0.304419 1.760032 +v -0.132503 0.319889 1.883872 +v -0.137501 0.331957 1.989264 +v -0.138894 0.335318 2.076402 +v -0.137881 0.332872 2.168832 +v -0.136124 0.328631 2.222302 +v -0.131497 0.317460 2.274184 +v -0.123172 0.297363 2.323033 +v -0.106535 0.257199 2.385764 +v -0.090201 0.217764 2.431793 +v -0.166669 0.166669 2.431793 +v -0.196852 0.196851 2.385764 +v -0.227592 0.227592 2.323033 +v -0.242974 0.242973 2.274184 +v -0.251523 0.251523 2.222302 +v -0.254770 0.254769 2.168832 +v -0.256642 0.256641 2.076402 +v -0.254069 0.254069 1.989264 +v -0.244833 0.244833 1.883872 +v -0.232992 0.232992 1.760032 +v -0.212264 0.212264 1.610459 +v -0.197638 0.197637 1.480631 +v -0.182825 0.182825 1.317004 +v -0.041180 0.041180 2.511900 +v -0.083586 0.083586 2.494913 +v -0.131313 0.131313 2.465739 +v -0.378649 0.378649 -0.943175 +v -0.399002 0.399002 -0.836019 +v -0.414900 0.414900 -0.733589 +v -0.428905 0.428905 -0.636089 +v -0.436379 0.436379 -0.548392 +v -0.440933 0.440933 -0.419384 +v -0.437238 0.437238 -0.285433 +v -0.424328 0.424327 -0.158846 +v -0.410549 0.410549 -0.038133 +v -0.386588 0.386588 0.103926 +v -0.368817 0.368817 0.216751 +v -0.339140 0.339140 0.333669 +v -0.311944 0.311944 0.419900 +v -0.291527 0.291527 0.503036 +v -0.265944 0.265944 0.597208 +v -0.231226 0.231226 0.700085 +v -0.207252 0.207252 0.804795 +v -0.183396 0.183395 0.952091 +v -0.176715 0.176715 1.046793 +v -0.174612 0.174612 1.153776 +v -0.176568 0.176568 1.244897 +v -0.000003 0.000003 -1.749992 +v -0.141663 0.141663 -1.749952 +v -0.181350 0.181350 -1.666954 +v -0.214258 0.214258 -1.587376 +v -0.241961 0.241961 -1.507549 +v -0.269606 0.269606 -1.413626 +v -0.298970 0.298970 -1.298565 +v -0.328392 0.328391 -1.188848 +v -0.354426 0.354426 -1.066731 +v -0.463080 0.191814 -1.066731 +v -0.429064 0.177724 -1.188848 +v -0.390623 0.161801 -1.298565 +v -0.352257 0.145910 -1.413626 +v -0.316138 0.130948 -1.507549 +v -0.279941 0.115955 -1.587376 +v -0.236945 0.098146 -1.666954 +v -0.185092 0.076668 -1.749952 +v -0.230697 0.095558 1.244897 +v -0.228142 0.094499 1.153776 +v -0.230890 0.095637 1.046793 +v -0.239618 0.099253 0.952091 +v -0.270787 0.112164 0.804795 +v -0.302112 0.125139 0.700085 +v -0.347472 0.143928 0.597208 +v -0.380899 0.157773 0.503036 +v -0.407575 0.168823 0.419900 +v -0.443107 0.183541 0.333669 +v -0.481882 0.199602 0.216751 +v -0.505101 0.209220 0.103926 +v -0.536409 0.222188 -0.038133 +v -0.554411 0.229644 -0.158846 +v -0.571279 0.236632 -0.285433 +v -0.576107 0.238631 -0.419384 +v -0.570156 0.236166 -0.548392 +v -0.560391 0.232122 -0.636089 +v -0.542094 0.224542 -0.733589 +v -0.521321 0.215938 -0.836019 +v -0.494728 0.204923 -0.943175 +v -0.171569 0.071066 2.465739 +v -0.109210 0.045236 2.494913 +v -0.053805 0.022286 2.511900 +v -0.238873 0.098944 1.317004 +v -0.258226 0.106960 1.480631 +v -0.277336 0.114876 1.610459 +v -0.304419 0.126094 1.760032 +v -0.319889 0.132502 1.883872 +v -0.331957 0.137501 1.989264 +v -0.335318 0.138893 2.076402 +v -0.332873 0.137880 2.168832 +v -0.328631 0.136123 2.222302 +v -0.317460 0.131496 2.274184 +v -0.297363 0.123172 2.323033 +v -0.257199 0.106535 2.385764 +v -0.217764 0.090200 2.431793 vt 0.382981 0.708826 vt 0.411255 0.708826 vt 0.411255 0.725136 @@ -1624,7 +1624,7 @@ vn -0.697806 -0.697806 0.161596 vn -0.705649 -0.705649 0.063570 vn -0.707083 -0.707083 -0.001251 vn -0.705039 -0.705039 -0.076144 -vn -0.000170 -0.000114 -1.000000 +vn -0.000171 -0.000114 -1.000000 vn -0.329417 -0.329417 -0.884823 vn -0.598376 -0.598376 -0.532792 vn -0.622974 -0.622974 -0.473037 @@ -1644,7 +1644,7 @@ vn -0.348552 -0.841548 -0.412641 vn -0.337138 -0.813959 -0.473037 vn -0.323832 -0.781823 -0.532792 vn -0.178289 -0.430403 -0.884823 -vn -0.000114 -0.000170 -1.000000 +vn -0.000114 -0.000171 -1.000000 vn -0.382672 -0.923856 -0.001251 vn -0.381909 -0.921995 0.063570 vn -0.377636 -0.911710 0.161596 @@ -1992,7 +1992,7 @@ vn 0.697806 0.697806 0.161596 vn 0.705649 0.705649 0.063570 vn 0.707083 0.707083 -0.001251 vn 0.705039 0.705039 -0.076144 -vn 0.000170 0.000114 -1.000000 +vn 0.000171 0.000114 -1.000000 vn 0.329417 0.329417 -0.884823 vn 0.598376 0.598376 -0.532792 vn 0.622974 0.622974 -0.473037 @@ -2012,7 +2012,7 @@ vn 0.348552 0.841548 -0.412641 vn 0.337138 0.813959 -0.473037 vn 0.323832 0.781823 -0.532792 vn 0.178289 0.430403 -0.884823 -vn 0.000114 0.000170 -1.000000 +vn 0.000114 0.000171 -1.000000 vn 0.382672 0.923856 -0.001251 vn 0.381909 0.921995 0.063570 vn 0.377636 0.911710 0.161596 @@ -2176,7 +2176,7 @@ vn -0.697806 0.697806 0.161596 vn -0.705649 0.705649 0.063570 vn -0.707083 0.707083 -0.001251 vn -0.705039 0.705039 -0.076144 -vn -0.000114 0.000170 -1.000000 +vn -0.000114 0.000171 -1.000000 vn -0.329417 0.329417 -0.884823 vn -0.598376 0.598376 -0.532792 vn -0.622974 0.622974 -0.473037 @@ -2196,7 +2196,7 @@ vn -0.841548 0.348582 -0.412641 vn -0.813959 0.337138 -0.473037 vn -0.781823 0.323832 -0.532792 vn -0.430403 0.178289 -0.884823 -vn -0.000170 0.000114 -1.000000 +vn -0.000171 0.000114 -1.000000 vn -0.923856 0.382672 -0.001251 vn -0.921995 0.381909 0.063570 vn -0.911710 0.377636 0.161596 diff --git a/lib/bowling_pin.phy b/lib/bowling_pin.phy index 6abef6c..ebaa4bd 100644 --- a/lib/bowling_pin.phy +++ b/lib/bowling_pin.phy @@ -1,3 +1,3 @@ -capsule "Cylinder.001" 0.355414 1.320762 0.000000 0.000000 3.262342 0.000000 0.000000 0.000000 -cube "Cube" -0.299733 -0.299733 -0.299733 0.000000 0.000000 0.148072 0.000000 0.000000 0.000000 -capsule "Cylinder" 0.565917 1.543359 0.000000 0.000000 1.351788 0.000000 0.000000 0.000000 +capsule "Cylinder.001" 0.355414 1.320762 0.000000 0.000000 1.512342 0.000000 0.000000 0.000000 +cube "Cube" 0.299733 0.299733 0.299733 0.000000 0.000000 -1.601928 0.000000 0.000000 0.000000 +capsule "Cylinder" 0.565917 1.543359 0.000000 0.000000 -0.398212 0.000000 0.000000 0.000000 diff --git a/libsrc/bowling_pin.blend b/libsrc/bowling_pin.blend index 08971a2c8e4a0a4e2d4b147ed8f7e0556822de37..3ba146266ef9a6780767996ccb7649be751b8628 100644 GIT binary patch delta 35581 zcma)_3w#_^y~lTU(g#gx(@vAN**;c>MASMX{KL zy@+0c22NpkH@HA6x7ct8*eZnvmzPp(U=Zk)LUfgPN^~uV0=@q;=X}#-+xz+4d_HBq z=lmb%cOEl4uU+o=)0DS2PU)(5H^2UqYo;90>Jo`ux+byo zq(ow^)VEdckL&LgcI2PZ)QF!kBwtVUbJ+-=K}MRo3OPV6wzl0~ij^~@Ay!rQG~(x`VN z+!itS+OmYH{oPq7RhiT8n(SneVY7c50(;7kN(rz=g1a+;&V2h zHN~1?TC3wb2_V6sO+aEAW}>ST;7@$}`=$frr30*ls`$dZuq={zA&-pjOe6>(L61#9Vj8YqMoaQir>Q!CKC7)-*4l|%i`NZd}q9h z2_Qk+ho&JCqkInu;&}Xt@3rydWeRe;b)eJiMg)+c`6DBM#4N)8-4d91{E6?j@#JOh zcZ=_|`!N9|sM~1-kQn8=CEz$<{fW=nGI<$6j!x_aovdO4NHAyfCrsQP`83`j`?_Gyd2~e->)!^B78EM^~ z>gldO(taxcTmtnT*k5ltXgiXq-pd#;{mE!P{ErNJXUL~?I$5K7#(isrq2AuxJJ|T;0k^ATHlnLW~EFw+o6HC^$bPN^as?$ zS??xgvwCX1D`9H(?Cq0nwyW(BNY-$6`f11Qd+-^ne35!7nx$^~TZ4LI(lpie@wZ*w zbf@2tYSv#bEitPD8kD|8ty_l;Y;Dx7PmuFlC7fmmP4BlcM4+94W6L|Nz4ymf z$d8I@=iH}Llo@>Ke=J<$!q*OZta=iTS8dI2yW$jV8tXJ9e_RYtJw!&I(Ps2}?DYw= z!jYME#UWpggm#7xQ_szBuWh^5wBB)@Sy+QBO*wsy*)j{%v#`W2hrS)I-s+VlcD3@* z0grsQ*xt7)sXy%glx*W(GWxBnOj-QZvcn%rQD(0cJ+Z%zKm3RRSL<6pz1|hSu;o)b z99KFVEI-t#_Zf*^yWZF<*^^`>)ba)Q)VAMjTfANOwBf)TO|khVv!$a6TTe&DE_=`p zS8vzv*O0uiD0|Qws(n$7M@E)h&#gsu(W1Y&-LLQ|v!5EAR-?LG#>aK*Tk03|-Lk8> zZW$xWn}o;7KlA78x}22?M}OGd|BTw%GEB$*_;e)OBREyJq?&n4zj!XaptrwmC(~ESDZ1E>PXXDAsEX#n#6Im7CnIM1!gEj$)Nx)21 zB}m{;eEZ#|A@b6&%*Y-D$n_-wB*1n?)m^}kF*x>_HX_)xo9f+@Q2_Qk2O+aEsfJDO+=rw>p@riqk0P-fR z@I44H*S7?apu;90F#=@O$0JZJ0Dt29Z9I7qE_+2)yuH39fCO#7Fpeaq;oTFMy#RmW zdu=>yq)d`3f zf4MrWpF$plYJZhpFl8a16Pz7&|7+x2RPX2XSnt2;rG3-t*nc~3)K6vaAEW*_DRo@B zV#3?sw`sm-wq2j!98YoIy{0_)SF_bR_4Ok4oJ%A^Ie9o?M@qJF9QDojnX>q+d2It} z%GlfQH+JIG@{10YE45m+;>5Knj5v2aV4Nk1YB^~jMHzc<(by$Ub$;m>b>-3^e?$pRz=)J9TY}N}PHgGENe#mY+6|qKv)&VPls#>Hjfm%*o*5J(hobl!q zsP&Xljn;^B*KdroWLBHLCTq!-vG@Mg*d?iYA~TSpjD7GaW0yF!<*cpq^pT+JB~!;( z<3mjPX=9gMYUdvxQ@4D5ifa2(eWR_$t?hTlO~U0a%9h&rBso6Pj8eB(rZieJ?zt_- zU9!s^6}e^dgDK7^_0=<`G+G0WJ$=Se^2@!IEo#xl3WHa;e#`KBmThXNp?*oL%5; zr;Tc~cKiolHvW=Fo$#Fjc_L@Z*wg){EP2(b-`&68zvNNNE*eNt#-96= zu}hpf=X+b!gr(zTH`U9~8gT3>8%If?mVZBXoF|uQ2@)azKjQlTY~rLLbKknpF0HQ_7s;uvSYalB_Glj;Vme+oF_K=bykx8D znpWRvt8nRl!?;MO3Vyg%)tyw|XsdAPd(*f`HnqBQt7@M-s;TO*feRstw@rx7uGZ#$ zr+)ZVz2nMZGG#4zHV+t2ok8_n`eM+v%xP#eb@;SzH)Wkw4PLrLeQ?<-y+~(Zz_IHc zvEdIwDq$<)ME=JR~~<*QWdY4s^<$Di{Gok#Uu{$kLRaT**M z8oBWzxzr0kiYLdfo*d3wxT(_iciAgmliPrD{$#Fx$Ems>U#V71AG@@**W4i3xidb9 zCcZ6aKcC?GN2+vR^o;_^5udwoqhRnoQ>HB)qHh$~Ho^%%xoyOag7Bs22&aiCZk=#u zMRvW^hiCcWm1CUb`|%wGkJwQoee@H3xmQ*b_FeUubEG}t;{|v zLvomN%Ra|M_Kvq1+I|_g*loA19~tG{31eqXQO_Fb*s1SRJ+1D$_JGEnCIl0q5~AL_ zcEFW#ymWNPPBq{mArPT@`kLJhYUiqkhHnS@L^A6w#ijf6*D-=Q{Q+fbj45YT--3(Ho=nL z)sfNR2e&=xEMxt#9=Sm#j%GF4J0e5t-d-D~?N*wP|L*85FM`>Qd2gfgZ$I6wO^j2W zw;yy|zi0Y8INNN~ncLzv*tXS~`ku*V%ZjC*Wtp3_!LHajDd9K=Hew|vUb0fwOSVS) zsk%Gf_7K5gC^2n=nw_q9Wgz0!v*^x)$JgC|?n7gb-~4dRCC@*o($7wFdy-yooa;>Q z6w6U>ta$#xamR0#?&ezd)a^B6PXEODlk*E0hSBeBT=eEo8rJLb-D9?Fe1CJp!_WWh z4~Ogc+5Hn+@nid+2Rt$V+;a~as&^6>FYfM|SQPu5#KixH06p$Y?>c=%H-e5DXNrGL zoHo~@_XfRBRPRE$sYAPvJjSV0OV-q-FZ`dQ7e2jt^HGV!KNrVg@*h1wudjH1!Co>* z>fhI-7k=23X~D?$|5w+)N%gI{#gmrfc^tW~9@8Y#6W6nc_D(ltrcoR99?J9$?V&ib zhxW`gfh1%PCGh&Ye>A>%hVf|@U)6R?N4izAQ~8Ln9=9IrB$!a=uAAY?9dr)yHEQs` zYEpO*q0?z^$)q-|n`s}G#h(drfGZAa=el}V0@c)eX1a2BdRNB&xiw9Q=g84J%VeaJ z969KWK62p0k%PUCTpT%w;m9F=@e`xTwhay)yZlCnXFc5O#2;y+WklqV5kFAbM?B(w za%{-iV+40&^kQ|SGT_j=x#RK_NSkY6R^$sroMk)v*mz5{m@Ro zk2xTm93GI`$GBo5REMY=!hz(z=6KK}e(~`D4IB@eo6PY*dZp(;ZN9(x_{63)zdEn> z!-rQ5T+^%f+Dp67ZaL(@KP?)}UA<6G?3E|hKYZ!w|FP((i~c>{3#PC8{i1`ne|gio zdxQ9(c<1GBw%mOAg}o1b>5Ue3>;s?t!X@{+54L=5+@{Uf{j^n*ww`q4jvUACZlmp=HkS09?u+_@+_r*V_2*^pj% z>)K!MwoCv2>SUL0-*Ag3t;VxCa+eu+aZRTRw$1jfT-0cUO zKoYWZ+d%X2ixWFh$2=26GIkoD9>_kH=)i%gZL<~ET_~{n{Cfg?1hjzK?edtMf zwrrne-6=hd4=z77n#{|l_3Dh?IrIDGo4TGO%(m`Rw)|A09kFKOLo&ub@Y*~WiH%%#HAGCIfi{CV*jJ@qpD@N=Slkz62Eo1MoWr1m$c=FOP3t?n@r<}Fh01~t=Fb$EIhDi{2f7l4%PkfJ!Codx?D`xi&Nc#x_NRVD= z97)X3%aYnXfyCoae3y+UFAWnvyaVx*F9JxAILb6cVtP)3kwYlytUvJ`woG0|u+Mg2 zm;m$SivSYz+XN&=z#bBqH$$rgv@J3nATPpYr;0~#mjL_ZivR@l+5`xp;oTFMy#RmW zn_EmnoTbJ{(4g0&yFA>8!L$d}pTJAWxWhR*p;G!c?1 zocH^K99IvSe$z`F!;7BRue#X@U_u5@wr$vnV#V+YFzi4c-wGI<6u<2IDRs!!FE1dN zWNqIz$!LTfkY&_ij|ei$>WQuQ)aK4I{&n9n6We-WP>Yd;2NXa%H zaO%5HGiC8tTmB$V25lL8-|5D#aK}99OT1mO~nn-;fLg zvTRvdthA1cOaLpe`ooGNr>sD=?45gRyU#cN&EMgCe}XyRPhUT3vb7<<^+GvKet&9s z{@?>6Z?>=an@AUHER{j%$eOaWpte*7Qk3bMv>5wKT=>G@rE6M(elI$^Aw1_@=^9<3 zYh1F><>7}^ef(x;k}j&?ANSPue$O<})>+lHy4Ocdwl=!fzG6eT^8KoJlaGH>ziim7 zZhCWqs{7!jlsJv(Vb>+5EDfnKAIfuUTc(H7aO|&>Py9%FsFlcl*5oBJnLFj}Qt6R- zyOgeW*^d-cTKt)Y;l}>YWpuU6&*jR>Qnmq8V@6#%Ka#wuj0!|XXJzx->z|F z#>76NKRs8Nvg8R`M$5BiD(H~38V5*V@v~zb>5q^st1P1SE2P$yrwhj^)%-dTWsK6o7Wim)$aE^AM0*7|%Ac4VZ?LY+%z1BejgBP>| z6*#2rBuQW}ae_EdfkVzZNMP_;?LY+%dMWEa2@E>Lp|jscaGKS2t?7kvlmFV8X}8q(0!YxTi~tgoKxQsp`Be!L_!Hl4GzmlIY3NKm)R zIFgu#Nx;Z(o{2y4IU7%2MzDWR0`vtd0VEi-2}sP)%fi}259Ar8^(VglI^#!P8YX^t z2jUA>0!Ywj6Ofn$vT*k(0Dt0JuQz_=9ctLF?_pDDE?5a5L61#9Vj7kmBNi~c2Xmx= zKk@0n_>q@**>9@i?FB0VBbi^J!i;Wx0;I#*~WuO zeeZ3iEdKH9iIlOESI6tCM=8f=(c%|>Wez=@K#Hzl-gIY&s|D(l3~?y7G|EZFf-c*6 z2BZH@(=>y`is$Gz>>xILFjg%fkVNVACJ_x(FFfW?MmJbFQ%=a5*O-9*bqw=_p!G>- zRD�Y(tmBYh_>#YY1+g<*ZJn*P6gp;;0Wvtv@$q2?|b~?fgDP1!r^8LOk3OSp00- z8F}>}4`9t#xU>#ERuWw-`g*MB5?$;lTE%wEs&`Iyc3JYeiysTR<~Xy1Ei;|HgHP_~ zwAXg@SfTgt>aqSUim5M3FEG-pu6s8Guk7b+O9{m4=}q(frYr%)7xv#nZ-S0bI0H#( zL!U6;D_w5Vok2XE89G6<^Tv+O0^o=voiv^4Z8n{m6g+v5b4G3N1|uW=@W{@np8ab) zjGX@Fezl<}Uj@8G&YXWWvNsYQ_f8^;W19ESoA~Q>x{(v!ZAeO*i{?vjTv2b&|LvTx z*V7G|gE+4&J1zf>C-?=YDGfe|wx(Q#PZBxBs1{1Nc^&VCGgkMvjtjo&yyR1oeLc~=l`j0zCM_Hls=>XjmegH+HBkHHW!)l zpxvhbYRdYI{)(gY8NCf0I!F91of>{d|63Dg8fL7j5+v{^KE1^>L|z&uo{pI_VL6p0fCODO0g2OAxr}MtgOLg3m2vA& ze4@|zkrx5X)rfd~Dop?hI&1&kk&?5Kw1^K!p)_JBt^KIA2BapJK~)oryiZm3glM-%wke~|mU^R}xM z#P{Q0+)%vYIQ>yiXXqTC9CVr~q*Ho?^&rZK2gNT)=i2^gD*Cs_olB+rO_?p7lX7wO zzd7>Ve<6>ICN?{jL1qwG*7PQ&JN*!b_~VvMEbs@tihirkons8crHo|6*JH zleBW8+%rp2!?TIz*Nuln2J@CW_l)m()l@XUCTphdsiC;+>~~B(3xRr8d3Qz5 z*J^j9WE&@@zVGj*EdKHhDEZooEn`o-YwS8+|MW`tSq;-iW@vuTlqFKWCnR57v1Kx} z|HIfNll|$HIVtM!>3ZMzNUZ$!%D_I9vG@Md*omw9@s%5zkV*FmAi?0jOae(PzrM1q z36c0?$3Oj{@s~XE^DDdiW5>VkBjYc5;;*|=#-7`0>=GAWPg2I-lQ7dKar$~PMHxHO zD{=bz(v@<2y(xb2SE)SK1s9yMK7!fbc6QVV$VKQ5uuEAl!)sb=KHk4cADGPFNY*>Bez{KFdw?gq z`QC2s&+*%w?qIytZ?PR_f8C)bSaE@~wzm0olU}yPc^5i|x_kB9a9-T76P$RT)1uPz z+THZ4I*X3}j6{!_Idq=_kw1`jb=%$Lr;=kUg*zughgTG$v{Hr$C zWxjbUTb$%Vd+aqYjt}OnaAwr?y=jt3p2RJi62}EAt`=od8?3%s4#=%<39NAHYXp+P z;N4D#sNJCd$;8YpKKesv?1U8GcSuVPEr>r6Ds9$lQ8Sz)w4R1w-c`cG5oV?q&6AU6`Z-Q{E|qqrJ#2m`Rt5Gd`9rG z(3umQeW!CoW6^vID82iZE{*T9ww>~){@ODo{s0`KSEWP+JMVO6)+E0EL^4R<<;*bD zdY3cJV+mg%j(Rv{g$<=V;nT}HzHxry8y9BIJ3DykZs+pkkvC&>+x~##qA9uC%#R95 zy#156RR1`sQ7^QHV8%M3p&{xX#(&)b@Pydb6&ww*=DfgS6bSH9C>% zIcUoD>z%PF7CX||TST&`s1JU8m(%0Qgjh+RDc-Qg8SAESBMeEVXZ67m>m^Jkjj%Px z_BigOFB~HmG%^6vtytG5c#O?uli z$>62OWT<;T{%kV%K*$|D_t_xzxbtnd``{?4Q z;y*>-BO6;ImC54qPdbk-o}|-i0S8KyegW2%@osUggrO*XpJ{CC61h~`=h{iTpafI^{~GiFc_0MJfOjo= zfGkh|BEVJX0WyFBNU10hfbyz9^dWPt(@0q*ta0WyFBNS)c$!fO`vifDE935>NsBThRmL zfeNsBZu9_oAOy;QcRPB3EKmRNsB z0(yWv5CUbuy8}Hy7AOD_;NFQIAOk3%1XKY3F7yC-AOy;Qw+1~x7AOD_;I2gvkO34> z0xE$2bMydtAOy;QcQ<-~EKmR(B$_fe10hfbydLxbS)c$!fO{``fDE935>NsB|3(jx2ST6>cp-X#EKmR< zz`YMWKn74i38(=6{pbPmKnRop?*a4xS)c$!fLlZlkOAaZ0?jAB{LqO3`RN@4{ss$6 zfjkfba)-w_d%v`>7{~$zAOhT9S?Bpc22el=r~v+h=mGLT2$TVDBYJ==PyiypeF!~3 z22el=r~v-M=mGLT2$TVD6MBFwPyiyp?L`le0TfUIDuDk8dVo9-0%gGaHF|(7Pyiyp zEuja<017Ap6~KQKJwP4^fimDdh8`db6o3eDA4d<60TfUIDuDk4dVo9-0%gE^5(F5dx5GVuQ z@6ZEefdUW#?iTa_89)IgpaS@P=mGLT2$TWu8T0^Ipa4XG`z(5Z44{A#Pyzf1JwP4^ zfimDdhaMmc6o3eDe~%s@11O*bQ~>{Z^ZN-0(yWfPyiypeGxrC22el=r~v*} z^ZN-Kj;CnKmmvV_Ydd+GJpa~Kn3t$LJyD!LZA$I+t34KfdUW#?#t)_GJpa~ zKn3t$K@X4zLZA$I{pbO*KmmvV_mAiSGJpa~Kn3vsgdQLdgg_ba%IE>IKmmvV_s{47 zGJpa~Kn3vsf*v3bgg_baUPTX(1qwg}xUZoH$N&l`0TsZ19X&uE2!S%-y@4Je3lx9| zaNk4^kO34>0xE$27J7g@5CUbudmBAK7AOD_;0~Y%$N&l`0TsaCjvgQngg_ba-a!wL z1qwg}xP#~cGJpa~Kn3vsiXI>jgg_ba{)QeP3lx9|a4YBmGJpa~Kn3vsjvgQngg_ba zcAy8y0tFxf+;`CfWB>(}fC}KhhaMmggg_ba{(&AK3lx9|aNkD{kO34>0xE$2PxJtJ zAOy;Q_b>DSS)c$!fcpV@fDE935>NsB577hUfeT;l zo$tn%R@W`H+q~U|c3U>vz;i4t2C_f_hyXWfo#z7?KmjG70{E_tS_<8ClC;=6~ zuSXA%2ST6>cn# zc%MKIkOc}r1i16j17rXNlzi%8 zJP-n9z&ipxKo%$f5#W9bJwOIfKnbV-{*mYb@<0fb0dE0%fGkh|BEVgU9v}lKpafI^ z|0whTc_0MJfVT)eKo%$f5#Y9<2gm>lC;=6~Z$%G~2ST6>ct@iL$N~i*0^Cod2gm>l zC;=6~UyL3g4}?G&@Rpzl$N~i*0^DQJ17rXNlzXD4+yX0RJ@f0C^w; z%7Aw|dVnlY03yKs5_*6Ppnwuk0sJqc2gm~N-E%X3cpa4XGdmeg#44{A#PyzgJqX)R zpa4XG`yKQE89)IgpaS^cMGue%LZA$I7oi8p0tFxf-0z_W$N&l`0TsaiK6-#W5CUbu zyBIw{7AOD_;QjzTKn74i38(=63iJSZAOy;QcL{ocEKmRNsBPV@kI zAOy;QmqQPb1qwg}xR;^_$N&l`0TsZ%3_U;|2!S%-<M$N&l`0TsZ% z96dlD2!S%-{Rllk7AOD_;9h|qAOk3%1XKY3$LIm_KnRop?Hl5JP-n9z*~tPAPW?L2yna5 z17rXNlz0xE!iD|&!D5CUbuyA3@+7AOD_;I2jwkO34>0xE#tjUFHmgg_ba zZbuK01qwg}xIaS=kO34>0xAMSU*jA8*r~l%e%9x~sJNiuey6rZKSmnyB|!c4r0Re2 z#lR&&$9?YDy?8G5dHvl*uj6U+%t@Xk#eY4MpR?c1nh^Be=cf0<;n?7UrOC#kcfY%1 zNsV|Vi{t<4p1h<+Ki<+`wc5BiNMBYnHvU#+aqeX`bDf(0n>HtlXXI<1yyt%bkQDm6 delta 38602 zcmeI5d6*Q{*|)o<8$keqXf&bYl9;zOj7ePEIPD(O zsG~Layuk{xN@i zb}p&=)Omi-`JGdzmaeLvtbe5buD{f`H$->MO}l>V^l;HKZd&ULYilC%>6!D_a2ctM zL^APM#?!wawJuE$ry>3v1Qm_l{Bhqqn*Kk=>^yGp0Img;{pkW#T$h?zGFq zlcp@qs4>p;I&}Bgw8hLo+MxZHPE2K-m?tYkPXxs;F=Y{}+nwM2v- zYwJa)cBmQeQKmj|smU)ob!g3mCR?Ps!V+fud*? zWMZf?1Fncb(Y(~;BomvwcR)b|iVmwFQ_{K`R1krp_8QX$nY0_-k3j_yC^A+-CVH-S zQ!}lIK+$g%WQyB11{Fl0NM37Pkclm*-I+FsK+$6rWTGE~Z4iNivjdqJUEQCsji^MZ zb=x-9+0=SS^w8*(Dn7GehCQwPQr77sP46#Ey^hhJp%Yb?>9$NRd-j?U)Q*$WOuQzh zI=4G+yAGr8xI@=B?s>g!?sl`(2iJa`$FA2WM%`@l4Qtf`_oJp8Oc<+^%9JHsEgrd{ z$rh<@ztL2SI#{{b>GN1YK=CFMAbHf1Q5%|Uk?Q`NO|{5^)!!05D+q|+Vge+OYOCGQ zWQ$a{{M1y7ELeA{^SV#_bdvxCnV%VfJxS=NgB1HaYN1Rl4VR|&26&yW?x;a-L%SX zGrftIyfsEWH+Ef(;EJ6ZYdY3;J-O3I&I~(=m{iSo+jhBzv4><%G4a6@$IwZ2fXa;f z#tf?^SMdRpi;2oU!o=oi5s}mMnDGy6x7?1%eR@7N_?dgGm1SnhNV1-x=v*dOHWNOo zk;Uy}8lqCICQjV2qs?}$9fHh#Yr7`KpLJsK0}qR;H%2d1lV6yi-hIDOy)$~OYX9>3 zs6?o?of~VGuk8wU-ssH4KHX`4%=lo4#P-0sM;ZywrFtm`5B21(_q&M)O?`hM?2lL5 zY050=kCeMs>^97)LvVv6(R*5?OZJs1PGi^WlfL74QVN^9+19rH%9KUbwRn#yj>n1$ z0S}u15vpZ-KI*mF@=tAj;@75LbgIqYHQL$B;<|0z!*Y=}`B5)n%NuQd z%WtfaU$0f0CO_*@X5^*+<~Y{9w(IRFPYiB>?#U-Q2RKnZJ}Y)=h>EUj(cUuf3^W7J zbu=499}uPO$iRFWJbT(Xxu1G*TGH)(+{8tmuoG&fDR&mlk`0it>jx%OQ6J$pMkUV7 zsFku0PVcKD->tUeJ-?Ur`#tQ*GW5g1_x!<>C0;Gw|51-Jd!zUXK_|Z9dky8 z>sHKZnAy2%u(=KyB+4s=x0Cdh>TyjLdLUeSz^dk-Rxjd zd&v5zL52woXv|CDWRS)x<;Po24yNpRr|~Y?0JcroPwKi%wl9^^~bkylnD|PCY60l&SBq z^`cXoq@FVM5j#4fQ~Mt#-z{yK`ov=&hC?AbwM6PE57eLDZ-(j>IsWN-Tc*DCUb7WM zr`Ab5W$M{VqEllIA3u&V^~@}-Q!R&&o6P3qim%5SCQt@4G$aFNzjP6SBJrx-BvvV# zCRE4}S_Kg(I<10CC}dErf(R7xH6|ySbZ+fXhS@5JK+$d$WYW0@6yX;;B2YyBY$C`+ z&-ErYUpI+B(P|ZBirY5yMmGu~Q1n^_nRM=Oq_rY+MFff#yL*v|euS<<1raEEPBT-8 zOnQtqZ-WRFnSIQzOeWgUlhb}%u@NYG5BMO=NhbQCr>pIUjX=?Hwi_NEXp4zG*ai_O zT9%oqPFw6Mdg_`sh(HlP)f{TcM9)z)_%;AR%lf{s8zjP%-fL_VHUb4lJ(^o^deN26mtst=d zEfXkN)#Bs(#!;re__nFn3024ObJcx|mV2xusQ>RKNW^N%3G&6ymZ^`wYwATO!!S=h za^iB2b;Pt(OpIt{C|>u;!7xxyd}h6gmpt<2tk0uNeP^Gk7hU-6j577T8%(|E+SS)n z=5w36er$b{ttPzV0~0PSsP1pAael7O{$_oXT}e>ShbBmJtCgq7%(7+bBOjT1Nv57W zwa=qWee=hrUUX{pX=|pQA%=Q}n_Y?_Ck9RO6Qhw_YQY;%s9V3yq_PzRw*SKfN&S9S<=ewgeTOj+Ir_Qb;oJ-O}2u-{;CO-wCcSxR;y9RZYP09 z*VZ@L3IgMwnLx>`KK^c>N16JT|26fJP;L4zxdC7sqQle^pV?&MC65|@=9;PBmO)}r z&=7;BGhzl&a;Y88+Pa1qG`)_|NG_R+^VG@TTkf%rnA)g`5v`iIMD8}&GWCg=sTZA^ z)Y|7!roMHUsTZA^dUl^jnfi`xOugvT{@-8Y3=e0WT}co#M8s;&56rCLc*KAZgC?@A zNh}ShC2u~VMxLW*jnh)!WGe`4-p&L{0=3|rK94f>N!Qd%Lbd4J*L@PxF!jW@k2LX; zM=d^2ZfDst^~LQ?z39|;&R?w_`>x)9_58CH1on?Ifs#NixgZRjdYeoI5@LWjbj5qk zWrH-N&bx5){a!a?s|oLT%Y;iB)s|+zw<`%sF4!2Jt|Yg*>Y_DMe=a^~7azo+>6mG+ z!r%HpUH79k&bHyEwJQnAj4|g+5v$;0eOfu_g!(4ClAuJb`PL&D)$MI-n$OtEQG*yX z{o9*v=?2vD%yVk5?d|UC*%~6_KQk9JI)m!GagGCUcj{VK`1kI=&ZZzljkyq$uP?v@^eJcBv}toBwNBYJ>gwAD zZ}W6be&Il8PpjZ|0#{gKDx7k9EQe;ec!$)u&PTvYQ#WXRVGdpBc-inpKX7Te8LtSt4ncKzjf*lg(?`N-c{HeU?5 z-qaVQVlTo4D%Y}dy{X=7zh>B{1DBYIz03%A?qP?p=DlzL;&z$v%=-32O$$sV)-y3$ z$E}mQp3kaZ-LOZ~I3uA7sYukvH}plN9Nx#$l1-|w4hw-8)?2P)ysW>mv1X@r;aK#J zAEu_=bjkL;Q_N)5{W>i;yTzHL{(jReU!p_9%!S04Oqs0A1sO6ugk7iI+~L#>y%VGJ zbzZ!|j{9C+C*N{_Qzt9Jtk+1T&d~q#2dZuPJfG|X_e6I#t>Hq8^t>^x>Dy8xyJr0C zV8@TxKqg%4Bx}>!Wx`ou*SWvj#_XEBqF$;a&>i44b#@0d(-zIyR3PYi?~ ze`C!YnB`#$)~KEDI5E0i#8qu~OqriqWe$Mx7tOMBrk$>KnS9x-FTQG)Oi$Ji%)wXW zt6S}aRWd(!AJ;Ag-5`~SwMcz(!}^$Bp^s-V9jR*XT3?S3W?8&PD&q0_s0>Cpb7tSY z*U0nleBhCfmPU&se)MudwLahE)CIX3XQwtn7jVp9Hli%l&A0EGW<)7~?@2~Z1_y6=?1}+l0f7;k*8YRE^IFSnv z>1f}fTS~h}F8IGNphy1LdrsV}6G1WR)bBDTOq-db_XE8*Y`OEa-y)~5H%8Buo07F^ z?y}nWlIwS$_3WxuUx`FMJtWk~KYDDwf6>b`Wekeyhs)yrSwETgFP-=|>w>nava|P( zp0D;t=qSB+Mk1BHFFxp$*-s57k{i?mi6%+_LK3x#T`klNsNdwr#q=%f z0mTGeVo&S#H@SknuOTWz^_~01NA=r9_EZ&9y^~`;!^uIc z|4(Lk8Fmh046i#L(D-SWL&M&X*c?v~6$@GjWa4NBV2JIv@R`6P`$i zJCTS!b_KfkjBKwKKR9K6%a6@%uijJb^0H(&|9b5* zagDhm>%G*}b7*2cN1x71Tyto;>!Ce7VLjT^q177o_lNqTlI!M_(+~|ca$Ld$$ED8Y za`RV?OEKLsyvwJhw&eF}bAKmcS z6(?Rkd&YS`4EM>V`(Bzob;C(3A9ygBt?TzX`nfqZrz|QSJ!?@y-SY6h$4(#jw?}R` zr>?l_rffozCQh8ON1We0%Yu;KM}g)oqWzFy-=t_8ZZWcsBC1x^Ays)zVkC*S^xR?X<^6?X+!CE$oi_hdup3*e~4|KL2Lj z;IU@M-^{4fO=-av$C}A{nDu&&H62M4$L7#8Ngp!oR`_yw4KSG~4m7Q!dc!G4Hl1>a zYNxIXeiwBn6UF{hyVT4pva$czwi=b}K$8h#2V#Rh zaiLl2qsQ>#^g47r+(=9@7lU$}o8BsjK+$0pWYW0@6rn33P}J^cBFLmWJfJXdhS~@e8Cxb3J(mf`!=x<~{kBY7 zv@xh4f;N)-TNhTTd#qi_q_u4jfuhGM$fR>`t{?(M;s6stCi)i#u3hK| z)!x}K)1F26M%p>wj)V@9&(NcQE;9`yGUda^Zf88b)J+_0M6E}JHwygBS4_F~AhYE9 zjrClkb3#m~xZ5$lK7dzufC z_0K)*$uew**L#}hnzF>JsjDCLD0Avh&NKB|KfI^Uqs%2^Vb=vBTTrY>1um%iWAl2rQes5z^*4>lJ}(;eYQsAYqkNqm6#D628SHn>`j>P z#n1!QC9j?|6EVq>-!{o;gx!Qmld*fIY+^NL&HZlsH%xr|G_zG(7FhcynLk1_RHzoPL8wf?o;J=PIZyU@glR!x0f9&gw(^@-z5 zz3Akrr##-UW$IgxH}#^E2cGhH!lyg3!m0h&}$u3`--QP-ovXo zb6r>WM(G$Gp<`TT)8U~9Qr$21BI%%d`{VoFp0iC0$@919Sp4Q#9hLN~^_+EG>pmI! zO6#rf=vP{s)w}PEQpxITo9dErAt)OrS`UPV|DLU;|$qa-Lqoy zqNpd8oAsucF=a^-TsKVK31kar@DPI~ z=#rpTTNZKnt%@@BJ+@wS;kPQv)Hh#c-AKLu#TRAj+ikt*f>&JmTE+?j`fY#+gB?an z04oS+`LSt1gu$UYfE5IE+5iy-Z90Gz1k_$_GKetf)&Z;_pw$M5FnCV~u!4Xd8z919 z()JR-3Idw#MiODLSO>6zfOZ=o!XVHAtRO&7WBn0fuv!8p_ge)QQpv38g$dKY{Tdi~ z`>lZp6g^f!CMJm9hUP075hxN%O-?eQkd0#%M4;%j3NkT2WNTRk5h&u3N6=b64g9;*0^jig)v>WYeP(cKW{X6u8PD} z&^FfD7}fUl#ef8KU$>K-J!f{USaFHTygfl{f-ExgH$>F!Q9qJP!LH4FBJ!{qQFJewx|NSel&yufB7 zFY2%?g6_BX+lpVEUjG=aApM!4?G_(j7c7`1Pom_CHGJN8(JXys`g@b7_P@=t)h^pt znR4V=v+R7=EcKP?E3@>KsTFdqQ~L+HGxW;z4@N~$t1XMzT$yfB-($-)9;i!QvOPnr5oTQ9m`#cVOi3IZ5L z5e9GT09Fv7r?UQtFqk+;E(sZMPA|Q71DG(ml(0i0UAEUCHUL4(lXgt(dIZu3u0d=B zilQykluoUi)1zUoA&EfI{FI5HEuDKn5ni53jENu<{m|~rSP_Au$12Fgj-r*OA4H%? zluR3BLZRo5y}NBAP;}ZdnR?i71{6e~h}->{w&*!+H25|E0S5pQ=|R;)g`hqv5#c>v zQe#4I2G!ZoFvA`?IMTN~XENw4`lE+XFPX4Irs2?YyZ&YH$ukj?toIe0%r>G&cW6@V zNZSg5u++;h9Q*3X$Ei^A zb}v5E8G1A2y_Vf~h6jHSC`VyLVW$m2 z=8(BIVRCUyVLy@mBFrh1i=FM}Z^-3T$3M;bp3n69#y!`YVr$hbnMx76p1q{GPX<)} zrbC|zV|8+aDNA_xHyvz|>h||cwW#$kG2|t9yMlmXzX^~$;oo$yMXLMXH`OAuf78LP zARzvM36MPD-*m7=s#`uZ)sn~lO$XaP-6Q}(W}^{E-tccaSU-eQO?c-=CS20kzv-}r zfB*!&9~*%r3jd~qEmB?k4^u5N^EVxAnfk=1re4y>7qbmbwn#M_QPSw|X;CSMhcuDt zAEeZ=?fKrO=fIM;8iOfkI_sjkppRP;)II4eJ;(H=;KU`)aW1d>=wD&Wi)3}Z74r^s z$5iv`rrSzj&*B>9hgGeu&V6p{TkFHQDa-CjXFJoQ z(f&X82aA8`+*9*)-GY8e_p3qg@y>|g%yXP=>uhsr*=6;CqUTL{^{RbN{WM)DM8-$j z7n`?s^k&-K2FN0UV2ICP^*K(%WPTQofB*zqtUtP?p!Qs+e&CHK6uNi80p~ii!tMp< zpX=U2hn<<7|9f%BaSdUde+eCHcc8GvBw z1YO9Bk*ZsqW`5KmON?S8n01Y_#}2d1CXv2G1}$V}^%@Jw zz*-RKenq_0#`I6`gZ`g8kHqwk^n=dZoLi%{@4Vl=;CAP9N0T1X>B0IACmu`OBR?5E zdS~aEfkAD$`A#Qh){nT;nY^t`)o?&BP?x+gsr$4$ou{1e+&A?u=i5yO8*lM{UE013 zj~*(Ux92Wr*AX_RN%D+|wO=7ycgXK=JyvD`ua<;9L>B$%c zfB&V^8Fp1R+{xXa-0O^pj$`@~&+OEB^d3~R;NalGhn(GlaSu7W$gVLr+CS-iGDhVG z8J1^9lYcU=KKIL;t1{ghgH`u9#{}0-bw;Rbzw|ZL8lRxP_WX|BcP(>%<&2IG-zDrq z<{tC*XE;>)A=!wSTZ z3xAJcH#-!aD+i{_u!Zv$o_@Z1|G6Ga2JzsM%R&+EUo&#R$-(@xvx*3+#UX#4zzdaDMc{r~6) ze6juiqr<=Hi|xPF-QsiGD`fotqXxd%{{PY8k9@KHKet_Nt9#lP=l`t^%jb4b`r`cm zxefJJ4|HD~|F=3UpW8v{i{t<2Hq=`^(Ea~@{Gb2-I{Zh;4UKlWQNW+S*jEzh`v&#_ z!nol4hn$wl$*Ja6O6Q^p;oXJ)6$=OMGDvWwqvPzb-2S(-_05tg2VZUCb*5qR-&h?q zr~uxNZ19ml8ps1>z`YnhKnlnKC7=rUZTJDQKmn)#UIsrv8ps1>z`X=NKnlnK zC7=rUm*NM=0tKJ~c$eV^NCSDG47iu$2S@=qpafI_{|fv7S)c$^0Pjlt0BIl(lmYiD z`~WE+2b6#+;QtsuKo%$f6~Mb1KR_DD17*Pd34VYSkON9U74Wn80kS{=r~uwl`~Ybn z50nA-8vFn$AP1CyD&Sv>A0P`9fC}JUhaVsf?08{|) z2K)eNAP?08{|)Cj04dj6`;NFTKAO+-r5>N&F zpW_F}0tKJ~c(>sPNCSDG47j)B2S@=qpafI_zXLx&7AOD}z`FxKKpMycWx%}?KR^n| z0VSXc_`kppkOc}r1@P{|50D1(KpAlF#t)DJazF{F0{%Vt0kS{=r~uwF`~Ybn50n9S zIevf?kON9U74UzFA0P`9fC}K%tF^2J%1|aDRm#AO+-r5>N&Fhw%esfdWtgykFx7NCSDG47lC+0a8E?C;?T#{|$bC zEKmR{fcIPc0BIl(lmYj5_yJNt4k!Utz%Sqj$N~kR0(g($2S@{XpbWT=;s;0pIiLho z0sk@l09l{_Q~+-!et}GdPzC(g@B?Il0#E_G*YN|Sfjm$K+_m@tQa}zU z0rD5b&3!F@9e#i;AU_N;F%`h;wQG(9(m)<41MV9(cqWhnazF{F0{&m{17v{$PyxKZ z;s;0rd7uoqf5Q)u0&+kJr~>|*_yMv&0jL1pTlfLeKprRq?%VhQQa}zU0ad{NJAQyH zPyi}`_YQu5G>`|%fcq|ffE17eNW2`~Ybn50nA- zANT=MKn^GYRlxrgKR^~J02RQi;s;0rd7uoq|HKcF0&+kJr~>|H_yMv&0jL1p|KbNo z19_kfxSQ|;q<|by0;(2n@}uE7;ii-9GHaIwyR4XH;5inK1kykrCH0s*`{$Pyi}`7mH4r$J^$!!iQdwh<>TQRUTEzQ>^eg(viaY(N!`qe|wc>@r`56 z<1j})>cKtg55^8z6I5c+qhhVsPZ;uS zE4fW{gjsdwHc|8NDYuR7UN&F?eGI+fdWtgJQqJe8ps1>z#WMnAO+-r5>N&F?ePO-fdWtgyixc8(m)<41MUv^ z0a8E?C;?T#uf-3L1qwg~@J8bYNCSDG47fYu2S@=qpafI_zYae@7AOD}z^lg(kOuNV z8E_l$1Ehc)Py(ue--sU|3lx9~;Ell#kOuNV8F0tq2S@=qpafI_e<%C^S)c$^0Ivx@ zKpMycWx)0D1Ehc)Py(ueKMp@Y7AOD}z#ESrAPwY!GT=_Y50C5`Q~+-``~Ybn50n9S5`KUbkON9U74Ub*50C{4Kn3vjzz>iH@<17I_rwp7 z0&+kJr~?08{{PDt>@8kO#_u z+l(I|1>}GdPzC(G@dIRm0#E_GeeeUMfjm$K+-dj$Qa}zU0ad`?7e7E2C;%0}n~onK z4dj6`;O>VXAO+-r5>N&F{qX~2fdWtgyaVt9q=7t82HXSj1Ehc)Py(ueKLbBN7AOD} zz?+F5APwY!GT_d_50Cs`~WE+2b6#+;3x0{ zWPt)u0lb6o1EhgGPzKzC@dKoQ98dzPfPV;nfGkh|Du6c^KR_DD17*OShaVsX?08{|)2>bwPAPN&F1^5B7Kmn)#UJHJJG>`|% zfO|B4fE17eN}GdPzC&N z;Rnb91)u_Wr{D)j19_kfxToR=NC7#Z1XKb4H2eTrpa4_=?{xeCX&?`j0r%VZ0a8E? zC;?T#{|550D1(KpAk) z#1D`HazF{F0{&U}0kS{=r~uyg@B^fQJWvMQCHMhSKn^GYRlsk>50C{4Kn3v5#t)DN z@<17IzmFdv1>}GdPzC%S;0MS81)u_WKg17^2J%1|aL>UHkOFc*38(`8x%dIHKmn)# z-g)=|(m)<41Md0w0a8E?C;?T#zW_f#7AOD}z`GDXKpMycWx!422S@=qpafI_|04VV zS)c$^0Pjcm0n$JoC#_yJNt4k!Ut zz`qnfKo%$f6~Ma;KR_DD17*Oy96vw`$N?pw3iwyx2gm{ipaOVT;s;0rd7uoqSK$Xp z0Xd)qR003T_yMv&0jL1p)%XF@KprRq?oaRoq<|by0;+(Y#Sf4L3P1($mf{CU19_kf zxYytZNC7#Z1XKb4TKoW6pa4_=?>hVdX&?`j0k<7L0+Y7(1S;vu-|3AIj$&&y8 diff --git a/libsrc/bowling_pin_phy.blend b/libsrc/bowling_pin_phy.blend index a012875f0baa392d84f81712505513f11518052d..305b73e32658cb66d7f04722eff5083525e688ca 100644 GIT binary patch delta 38606 zcmb813!Gb3)%J6e({{>~5}7m8I%#QyKnqjoAOVDyHpt;7myQqt6={GVm$%YUqbOE8 zK*U>tzzH0{3L{2ZX-fwuFesExG2G-fNDvU(Mhzgyl;I@^FQR;FpS_=FX4=>9`+dWY zp8wu!J!|i^_dd6rldM`fyV5ti;Mldt|MsJ6rziEcYsNu?|Fbn5lE1%?pCpOfsqVknT+)@rxZI=!vkt+!qGnDVgR zs%E_DRGd<;u$;N@ zfFi!$j1-h+Ce^CZ3V1+KFbYJ%(ou7$74U!}bf<0ukauKqL&6ENqhoJfIjd3Pi$`%ThNActDZr*KHtD$n+K7mUw{3E(17**cm|lFoGao0IUr9^qSkv=+-Kc6<{f%9zs*J?d zF!oE`GoW^5l-C%V>--T{-vLwc(YvLg}*_39+48XmfLtGBrM z-I#2HtWh8OtuBkdw`9t23}x6m@6&eC`J0wl!!cCAA#=ZW5TUnh>TnEY*b5uAU3C7_ zXG;K7z+vzK?I1#LMRYiZGVCLpv|V)mwsWm59q0j4g#!ff%~~LVylZyf(t#eqA9nb6 zJ*fR9j{nwq(!h=aI6%)D;sl2 z#|dZ5X=LmI`;^x+zjL?HUsmlUYzkKO=q6c zTh4%~$AEM_wbk2gk9Q+#s|G@J-mF=}Er@ru8Ho6^Tl;6lpR^*;zMAR%La*;8+v|L` z-FxHhHt(@rr+bAx-;9W(x9GsO@Y7rS{k>$AkO&eRs_PCRVH|0ZkUG^!n;|)>c#rJ8 zzPa|iE*Jh1Bo^!Yqb_5M#H8H6VV?tWn*62&R zEUNw``|fYWQ1N#-ysRBW=&jywV=QXQHyL})ltt&Q=-As%73Dg1O-D8c!;Ns0Q5m~%hvwa_J3%nnHcE&yp^;fYMeHFye+(S zYyas7%J^fvG5)n-9R~AKGsjIXFsxd+sK>m%ComTg*e; z)N_Ho799N|;-?qbtFmVvEDOxUTV>MkeqHJhxjQD?AWe*a_Zzw_{@#*9H^xxL9xD9_ z{FVODPYp*@|2{gZE&RsT{zZqqYeghqe^b(G-3tSeF?$Y9DcGZAAiQPs*Ebj5HVwX~ z6YYFUmop=Ji$qb6M8)neKHB<6ctj^EcG;6&_cGN9yPJ?$bhUT3dY3GGCDM6VzZv6w zypid)*Sly+P`6=G>w?fbqs{fo7@@pLa2Hh${;bj4Gbvm0U;MgS_`1{rZ%Qiq#i7mS z*3HeS9laNNNldeoZ{5%_QIX|;vl z+1fwNebi=&hjuKqJ^X=P4O^igtc=Gbf6-d2RoyhUATaJuqW{DapE!DFDV2c~PTi&~VsF;5 zGh-;jK4k2o^G+8#%CL8SsN;#wyGHCN!(K3U(Rq)E9c9=@j9qlzM`A}A_O5^F_@eU; zJ#J?p%NWbC5zrX4T&n=cHt-EsP|{t>f1ATKoJe;c}FBns~UN&fCm&kMuA9B$e0=hJfIjc z3Pe(|RS#v9jRGD}WGvk)L{hP-2yW=$0mYC}AQCc{nKEs_1Bz5ww}D9ArdKj|Mgb2f z`iugRRBY9&KoRr`9#F(1x(!4^9zm}H1w5cA7zH8~c4`A2P=svV1|p#iS!1|^Fdk5J zn=&G)-l#le)fojmpr{!I+ETH{E8qb|*96@wM1n$Au4w}vPz)LcA|dlp1w5eWG{-PR zQvFxG8e$vpfC5K7L{c+1P7x80;7$li)jB-9-a_kqbG*bAK<6nsPvxWj#_kQOj4afe z_g>yR?j3jX$`ksI*P@ZdMts%_K_j);J;659r0aW*(_5S+QIE4^Ve&R_*5Y?#vJG^o zAKXQk#owFPH5^A7_K{|7ht6Ae$-(kbW3#vXvuk27!a2UHc9tOCqEm)rD8t@0Rog}9 zt@y&x-pW&N>_7~396r$W?4~sm%Uhh5I}cNay)UZmqVpDQd&pbbHYbKU_|!h8eMIXm zIc<0b%CJXUv|Z`E-qT!f-RWy$sDx9>(M}@vmYp#iLmBq&R&5uZB!9Gb|L51lPzRsh zHti!?8GtPvh=Jr`hyTzt?JseH+b)!04}DzQMHk$5p$vOxyS9r?-FC%LhCLJ0cF}oq z8#V)F*b6hXUFrP3FIjKKPy>&_nc72?!Ob+vu#fDa?V|Gr&K{1T40}AT?V|HGog+)e zlwt4sgtm*$d*s~V7|O8s?5XXd^PbLb>4+bs%NSAE;orBHwo4pu@t+^^R()BPi>ZT8 zEunox>uvk;i&oS-`(UTtRKh8`k9HEVdO8)Q?s?BMD^afKt((7 zG^gEE!l`?Xc9N*xdlwGJP=>vCUu~CQ-bWX0=|Jm96L$Cy?Wg@EjyGxPmJSR9{9%WG zXs-5`INokw+1Vd<_;>EF{UweptfRd%FJ2Qv9egqeXdlsfvzE!nB&G~|VV<^&&YRsW zpOTm|?1P=!E;?`CSLIU@Q-*!yKy4SDcj(t-X_+$YSPG)^7JXfEGDi-K0qpSaO6qtL z$6NNwL*A5c%!#26K0OC(AJKY?zad8>Q-;0o5N#KocltNCbU=?bVTXV1Q0*^qyd{?m z$54hndYHD0&O85GFM6q|t?i}?E~&${i%7j?-+s~Sykx?DCMsHm3nbn1wM3$Omt6Xy z*A;DTH&t-yU7%e=>aFNI znbLOAdH(n0NM*{fXO7f%(RsJ7*m*yP9sY$+Yk!I3t?p5K-DPb~yQzfJ;8EI1#NLL> zhG(D*`-rRUDwsENnd^Ocxt#P&C7j~NXeSYSo37Z>i69sW*x}!GtoBD7Z?~d8qfYt$ zni!05#%W!Gcu#+SI3i{Lql@Im?$~YK^H*-!YsX>7YBExKrJ--LJUMc=ULk*DgIFbB1nk=p4Q6`KkU?0NbIo>CowViv@;yteMbh zatz<&Nw0j}oS5*q%e_vc6^-}ab;A)UdmHv?3yb6}p zlS1-AYcOO%QT`d~ea5Vx1H4tQM>{?l7^Zw$b@j<7o;c#r2M6b?Z7B4?QP7w%@|O7j zazr1*yGo3zjluI}-|JbE^7?MHJ7j9vFX=KSVxrWm{m)FmwJF>C;Ks}C?n_mS zo7%nnvu*Ne@PZEL@ZoEGiH?K#s*y2qWY3z?fB4OxwmRU5-L{Z19WWiiZfiQw|IOb{ zv^wB~k5GHh)*=L(vO{YR+;@8id~jsKDn~4P2hGr~E#7bL?~jO|e6HHs0zHlqSd!`( z@!>6xT1&9MV*ka*RN@#6ai_U;<#EE?uHkl5+7JF>2mNIs7~A6(zv%7t^Bb2HP*|`oRnI7Q1N1)MFPdoR3{}-}dvhD@>4zME20_;S1z^H?1u!0=0vp z1K2?eUy=G^TlhS^e=hvx0aGq_Uth55#y>ysujPNdPxjC0EBeAM2U)UMO)@>gn^c`D zi}U^4#POCJ|13%OEc)M)zv=pKfAZqpuaJFH{~f#d#f5MDsBMEPO__P}g2Q_jJ@E8x zFCD7%AG{n*X)pfkhEns^A2jXvZ8TV+OOLv>u-kxgK?i>Jf9Zf4{ZnuM{J6~g!HDJT zrK4iswRYNfySJ%hym~k00Q1mfis!D5#xK5h&Vn8HSv783m;Z6T^yC3AxB7iY#KGi_ z+i^4Zx*am;fdM;P*D_tkvPLICuVvvohKXKXF+4zYUp7XV{zxHi!%B{2a`1;q*op;W%OO{@E z@%c--FTD7GbC#ZWadzI~b1pjX+}ym7_t{$qCaC(5H@x8l^%P*jWQo$@o!xtoESEXK zWx+%lTRDuV=NN5!n#%zkF2;U>q()RO54>%C>raSZs>h@A3cc-KeP_@|YzyDi^&{WX zTO1-#&*Q))I7G~e4PK&sVS`pQ!C73&-jXBQ!Xi-z33LGmiNWvcv$&+9=F*#Scjt+Z zyy+fs`!NS^n)8!$2i1;ydGC3P4%|I$Bubx7yTxF*x>SGw=D8*ygPa7Ne5qe#4$%7v&nkyw3Gx*-Sp~_ixz+I zz{1d)ZV7l}dFuC@9=JFBwT1tHH)6j^1VS-`~4+@PxIGrXu%z ze)EYpOgQqyrry-@>wWL}z4!J`e6iVEe9sX_?bzW{mmat2zdz$Fdi$a9!rC6Gg~$BY zv8mNtu1KlfLH)nuX}mCP^fc}a#N&57d-+bM?FB!bw(*Wv&s@0bu#-1=>4Enh5e1XC z(;+~HG%(;0(6d69G4#r)4gq?|)d9$yZ{dhTz(|i4A|MU{MySuXaKb(px?GD84Er2f zQ~Mlzu+L#VA{O>JXt2+TU$DUv%7GuwDomxGrQn+B6D5aOxE;FbEwC};iAM@Lc_Oa`3dKhR|n z2QMX}4115Ut6=|PhUGUZ-%CHX_yXd@W56+CC414^?CV#On7CXwY_ZYkAydQ`iW!P)R zE;?_M*inWZvnV?6J+Y$#5@PMMnC=f|z zHkfgl0i%Ei6eC7~NKnX}7zI3_$XsP&8l{S@dMLAG6!3sz$S4p=#ik;7WCITUZy&+~ zicmp&pe%bHsAq8*R|RMkyPyQ3V1*TsbKB0QkL=>U;1R8&O7 z!+&dctF6VvR;{aEC=d1a;R2jVa2MElyLM1c>Tm3EK$Wo$dt|=~9=cud*vjU?pK8&_ zFVxwlZ9iWZ3peX6F4;n+9+zdEH*WKnIMzSfZ`6LM&)lTT;_okOwYImLGVF*e`rzd_ zDF?6Yh|XK`DPAAd8hwH9(QuLDb#TU zheKI^-iGb#n>#ma|G`Ia!8%o6u#ODbEifX1p^9ASy+5u0fw%72`P22Gx06;(Jc15m zC_)eGvPAM`y(5oPOc@DEvw^?p`e!#JLDdiW7%d`>{R8hxf=CDn;?f(5k3F)g1hGR& zqTXxot#9snT(?krW`_hbuT9w9*pT1IQ``Ety}!dttgBw%LtbF*^xk-Vs+ala%Q0~p zmtuTKm!%=^^bh69uqh)&X*lp#!I%6?Qj`jR!zbn0$dF9xzvUG~NlCwgh+O05Y=I+= zI%}xhBv*fyWvy@Seoj|}Ufv-oHES>;tLTfttPLCxwsxMjfs`$8g~r5ZTvDk&>9WM~ zubCjPhNA*mNy~vigaiIWOVUz(Q8Oo=1GAefd6^G)SiIwk)dG#&i3Ok4oVbfMC)v5p z1ge`B&9-w`mwU~2WOprAw_N_3UF3^kP~vjFunmJT=AKI`gErwbV#*@cUj*C1-c{57 zDww+GLK*r#W0yF=Jr~NbNB^w#qVu0`mH?=LL$`4dp}*S{aXumR2NC)M$^jK{7%>ha^xskrsDMM)U(G0p!|Ywf0TpoQGY%s3mna8R zz#(d;QG~v)98duVwVu_V2>qwUVQ#lk;3BJL%GynyUzwSbkvDe~@PMN06*DkcLPjBT z5hz+ai~|INri?(HMxZ8D-{!yriq2Qf^ctlKtvV=^Wfbs$qSq)8NyVljxXpnF6w%kT z2O=SHnQzkuJfP??3Pe&vq}q@LU=;9xV#FvANyVlj=oLJm$ox%vAQBX^hD;mqfMUof z5J~k$wNan~9#EuS*B*$ZVp9?H3La4O83iIiF{0WC6!3r|{)Uc;NUArgjZp3_Ic~z4{7~l=Z6+Z_61+zCwil;1Wst<*%4-y&F-m+gH@f z@Y@Ei`M8`w=f_R*7>w@sb<;Q}VkP1TF=oFXI~c|J5F${YrB9}4VC>=vM%5faWpw>* zGvtC}@PBm6-5+6?r~0YqtO;%64I6L!K9GSqq|G0mY26y@`#=ke;;26E9{Q&)i^yNS zhxMGi53eh5wIVG9!!5!Ax!4(hm8>3)neVZvo~X+W(GN`8ON|ziLXx3f%;km|wXyq@ zN^)rQc%+j2gkPI&&GKi>w08CLds~_2P(bbLNu-)y@DMqJ-TcdZS`x1zo)mxjBJPe|lJGolzcecpdgNHw!ez78jW z9{Hr?6OsO#%Um-t*!Pi0!5om}SfCR4oPXlM))~zy#|+@d$9FrJ1{g67nbw;B*1<9j z0^_D3^l@Dl!N6;W{O4YapSNPKws5N?cev_xDpvCsFRGYLvJRD$GDyW3O6wa2hdX5$mhg9qe5*O*3K-u3AkQ zjr5ta#L-u+JJ_RpXuZSv1fUFirx_m6`5P9>)gUV1 zfN>O||C(|@1sv4ER(~S&XDyP;#Ss${XP!)4r=Z>BD#Hws8ajO~2M;KQi~^CMkR*%( z9#Et{q1!+t6b+5?d=buu#MoC^;q3Pypp(1r{Z zu1|~y6rsIz8;GR(uX;7AfCm)aMuE0eZ^kR&0Y%Ly5D9sx-s$;(2NYci9TSl{&FCtn zzS@8X6oW>ANKh1*IXs}~+*`MSNL^+}7*)Unie95YBxF9SfCm&f1|X6eRW(*nw1)SQ zy+pp64k0?Brok`Fuv!l{M-LqNhi2;tDvJ73W2m-Rv18WZ*z>;m=CBbXSmr=2#vy9# z#HgU?t|aQ8?#j8pr$Yl4Gr%K6Z(E3!a^d?+*Jz$6NB{Vd;YU$hM<4@cd`gITFbrIUH{>VrtCCCZ&d0 zm1W5NNhe8iwS#oUNGeD!*7r$W#umv*dEl*+EcN|iqrew@`;roBv9*8j&0hagi>+)- zs)APVwp{cOT^8xUz+!8roK#H>PPapcnr4&IOqYC|5zD^ykJw)lRIK^5&C3Tpt z7?iCSy(%l8KR20=?$+8Zux^%Q)peJ6`I}C)c7F9HB9`Dy8d3PO($@HQZT!y9$*<|4 zZG3>Any;IdKKhrWt&Q^5tFFLznNtgNS%m)L&nX8}fj0xXjxY}MYyRxhtS4irz@m`( z2!>FE1G}C6pU>Cg=kL}e7tKf123CAQov>vI=*tYO4ICA)&}Cral)mtnD)MK6Z9W4Xc{EzmdwHvBy$LO-S%QsH8x0@o&(c`pP)cV&O zPyvV3@!CP+$QL)Zx0@o&-Jj8Bk?9|AKm{CnPtXn$M}E9vd%G#ZJanQqi%kD^1KLNL zaDX6mvKB~O`R#_S`iZ)9Wx$D~AZi+Bt4ke1*gl!L>Dsv()BArrG-(qRO%;T0!t$<~(w)y)n zwYEj1pfAinCl~NvkrieKA3?^K$-O0B-jOd=t3zW;bcyN3QTlbZktJAS6aC6ED;4QJ zH*k#9f~|UHbclMV%kS>C)=i1a8@KA& zU-}KJ$w7PHF?)HBwC@itx2CUnAr!YV8+AN2;&a49Syg;^OYed*qNw9UP$AprL)$}x zw~g1sANov2+Ywjk)q6qmw<7eX&=;)Uwc`UofB-`#00OH3>U|&eR}FnW)Kea>hd=bG zv$Y*@m0rCEq}rDZo(grY9v=V#1n4sX5LgA67z9uqSQhHKWxO8#&==0pcEnZsNlGv6 zhn@@F92&WId;ka#Aat&_Bd`k4qyoq=)DGyk@C|)TA^f4wn1zP8Ntm0bbr@!qA~TJx^j=p|EdqQFKh_P(l@nVtA0!# z*m#u{wRTC}8(8{M_wLvM|HG@TIa9lrkG5Xhq+3^Yy7ii(pmjw9H(p~+iSBj$Nukia z(kxmRe@nrb-JUeJ6|>(RirxVL~Zr^4}RaRYNF+rBK+=NYn7cUNFLFjTUjeW zHTy|_-ECGpGI;IIOQ78!{Do!PVha0@{=%9&S^XS^>cO|Y%buM*kSJM?N*wu#6o2HG zav{}uy|(@@TO?}tijQBo-AYV`SG&ZTW{+I@Te;=F-I_5^k!nNz=>f1pi$5(_x@spg z>-($5CVM<0`>EAdArkuZT2w^3?ta|xLMOglzj7Hw4gRTZ@;2|yt$=}4?@4%)?WRF6*3u8fTJ6q}4jUSpHXuRd#0&}8B+>jGPq z{P=IJ<@UcnT5%8>JX@b1GtE!x2GIZ-#F;}nB5_;&o_i(HBg&F!{80QR%EU~gNL-6GZWgwVN&{m_6m{0+xVrgiIKs#USU(y zTAEWqQ{~@S7loTsYB0a&pLUP+%>kKX*J|$h=!sxFN1pnXP7mSH98PSKX3*TD_gj4t z*}F^=#|*r%(Q1ms;077aCK4`?MK{X=?K|WNBbykBUO77RA2vU!XWo5Kra_hbz6Y&_ z>0;(&z4s5Td_s2-vC$ST9;6RJTfL82yZGlkWL+7F246^1*DezyJ=csjc)?#De_(V5 z3J=RtQ&oBfJ{Di6-!Jdl+bntiu0gA_-CUxeRh;jnH)!?R@ZmpYf?exI+qgKc zG28FfXTqd8Qpi{bVN(xlRp%dYU|#SC%k3C(^%C#8?oWYR^a;I1W3|b;Jap2ZOgn9M z&y0t|{>y)`X4tjk9uNB;{z2}>E_pQU&v@2a8p-_mH$m^@DA8oA=yI5t-gJQ^8pzg_ z?UTZjgIN9X_NkWoc)rP2tqh#_oK-nWhn(x#Cq_(@+D*dQO(|DC4nIj;i|yghxj~z6 zo)tcELeP2tvK#H-&2T@nBpi=OB0-1a?GO8zOt{HbP6JCb;o@PoO47G)4$rmKxy(}iDg-gnjN~9{u{uvZWQkGOCRY(m|;udJrq&%ris*{{s zp>Rn#Qi)V0*}YICNm){nR3SA;iJwE8Cgn+GQk~@728Bz?kxHa0$^HctNm7+D3YWssYt4j8l*%Yv}sbFR3_C)&RtNrq#UV4s*>zqLy;t9 zNkvkH)F37Lp-q$Wq%x^aa>`J+q#UV4s*>!xp-7Ulq#~(8YLF85K$|AzNo7)<bP`=CgYvZNxZLTZo_ z_d}Z|LllPP`IQVsYI%h>Rn#Qi)V0*^fYxBxOlOQiaqYB_4$~P0EwXq&mrY3<|mAG}m=GQi)V0*}sQh zl9VMCNflCqlz1H4G$~IiljWOk}9MIDe)$>X;Pk4Ce=yKFcdB+M=Fu3Bzrp)Nm7~8*!X@QMB~q1SPlh5%%94tt3aLR#>;i3?lqZ!*b&}Hzg-gnjN~9{uo&rUZ zlqD5O6;gwg*cI9|DNibs>Lh0>6fP-8Dv_!rdp9VOq%5gOs*oC_L=@UIDNibs>Lll5 zP`IQVsYI%h?A@VAlCq>CsX}Uy5-rfCNqJJ4R3|wO6fP-8Dv_!ryA_HgDN8DnDx?M} z(FSdrlqZ!*b&@j;3YU~4l}J^RJspZ9DN8DnDx?M}@o{L=q&%ris*{{{C|pvGR3cSL zb_|LnDN8DnDx?M}F$3B(DNibs>Lh0-6fP-8Dv_!rdk-j*q%5gOs*oC_#4Kpjq&%ri zs*{{J6fP-8Dv_!r`x8(kNm){nR3SA;i9MlBlk%i8sZMhCg2E-`NF`ELXaU~6Szulu zQ|~)<%d=W}>KZ)0J;6Nn4ap~M!6RI=?YcsKElij&>BsVp@@X%H{lq>D#@M$MUs>y6-gCRgOu18+B7LoDwFCYXFn)hQjSz2RY`US6iHH+ zR3ueM4N_t*v}sbFR3_C)&i+uiq#UV4s*>yjph%Lkq#~(8YLF81piPtVq%x^aayp@K zNjXx9R3+I5LXjk8NkvkH)F35332mB`CzVNcl5-FgE-6PUk*Xv+2}P2WB^5~(QiGH@ z7}_)`Pb!n@BLh0Y6fP-8Dv_!r`v@qKq%5gOs*oC_#6oD(q&%ri zs*{{WP`IQVsYI%h>=YD9QkGOCRY(m|;z(%Iq&%ris*{{gL*bHgq!Ou0vX6oyNy?In zqzb7)O1RLbNqJJ4R3|w{L*bHgq!Ou0vX6lxNy?Inqzb7)N*oJqnv^G%Np+HQ9271o zM=Fu3B>Q+MlB6uDNUD$;q{L^SO_TDZGO12-PJqHCWOk}9MIDRCOKX;Pk4 zCe=yK=}@?&9H~UAlI$~}NRqOoBB?@ZkP@GVHciTt%A`8U`2rL!DMu=iswDf1P$WrN zQjt_4HAsmwp-q$Wq%x^aa=rwGOUjW-q$V5)NzS=YxTGAZM5>bPEEGvnmQ*BFNDWfr zJZRITJgH2olbkO@;gWKs5~)hE&xayO%94tt3aLR#TmWsFlqZ!*b&_)-6fP-8Dv_!r z`ywckq%5gOs*oC_#D77XCgn+GQk~>1g~BD}NF`F0WPb&UBq>WOk}9MIDRD8hX;Pk4 zCe=yKGALY9j#MI5Np?3BNm7xWl2R+h14J= zz6))dlqZ!*b&~TvC|pvGR3cSL_6jJHq%5gOs*oC_L=UuSQl3;M)k)4}P`IQVsYI%h z?8~7@lCq>CsX}Uy5?4T*Cgn+GQk~@Fp>Rn#Qi)V0+24mENy?Inqzb7)N?ZwTnv^G% zNp+I*11MZlj#MI5N%jw+NRqOoBB?@ZkP<(FHciTt%A`8U`7snODMu=iswDd-P$WrN zQjt_4HAsn-(56XwQkhgIIafj9l5(UHsY>OUjW-q$

bPpFxo%Wl2R+h14J=Zh|a2UBxOlO zQiaqYB}&kyNqJJ4R3|yVgu*4|NF`F0WZw=&l9VMCNflCqlvoXInv^G%Np+I51`3yy zBb7*1lKm?vlB6uDNUD$;q{JQ2rb&5HnN%k^YoTySIZ}yKCE4qsNRqOoBB?@ZkP_>m zO_TDZGO12-?u5c6x4^S_!2 zw-2;D7B4kWWMFQ5??%Svui*2tNEI4;m1PqHQgC@^eUm{H`+7&Ou_EfE>Apbofwe- zqmOpgmu-WeRI*iEKYg8DwSySJ_i|IZ4f7PZXgAqX6ZY2??UIiF=C9 zc1?vn@#hmy3J0Ar83kU_J^4!UTJegZ`$$KA+#pCt(hSn+?3Z*hn}b60&<1TB85qqc zey21Oe5pEhk5DjMeVc@Wi~_4n)JfqDJ7%PUnT!HukdcWzCL^gqMnTwMl5~g0rX)2; z2`L~Y`56Pf0D~{LxB5d*NlKk7)o&ZLHupZEQyT2RZymJRBfnQEO=y}K*{?1cDfqF# zjEPNGMU-jX#HN$NPmIYY-qbWXB7p{;c*b_WWJi@ONXJAq>14taCY>c~siQ961n-35qOBC4b%hB|R}9@pI`UHqK{}FVFhe7?31>ulZdJdZ(Aqq* zP3Ib2gx^zWvr}88kzj^0N4#QYXy|7`_dhLbF0cl>l4vD{8PvgNWHqU1CZ|9ef7>dcHwPFAxNvQ>s6Ch{4Sv&t-unPfIG1RuDQ!OLuB)T2d3FHKnWN)2D<&)8)My^;<+L erG2fC_lb>rukM;Q*|LW|^Do&&r%!%#{r>@VLSx?m delta 39309 zcma)_3wT^r)&A#XrnIHU5=okt&M6(_(n?NYlyZ>{ZGhs9!3IGKI@nQBP)8aNL}W1G zB7zPQIM4$+pN+_+=wKrO0y3q;9burswiIM)gP(xnga)O;=QqlK?aTW%4dMCzd7g59 zd$0Abz1Kc_pUccS!z2CkiiLT-t+B{eUtNC9tc7OV=^fJ9{ajN-{(7c87**Ryvv497 zIqB1p$Qo4~+NABb2s`pm{DTL7IWy>;zS}kB`3sXv@73nYCgYaaY_^p@nr(8M*>-(v zXEVVpXJHG3x7xVbqckES_slwq$}yMzfoCU%rzPyF777kjtZQHH(8+C>*^dvH!1W!Q(UU39^A z(W4A|$3_!hbiusnoRd(7z0caAlcBSJWxZW`^vOpjgy08V#O@r47lhF{ag<@tTD$0i z4Pr+b_KLNOE|?sXaj|9Cb>s3M(FIFlb9_vK+oVp-nO-|7;D_C&c5j$H&uR7H0Y&6F zGZKh|*&=(!D&PS{msKDVrjFW&rVV&NF>DoxgkH(sF^X<@K+(Cy^a_zMKa>Kwsjb=% z^JNQv=qpx_xLG^jWPeYj?~Xu#0LkZ#BLbu0;fVu8;17MD)gvw%o>+g7%p@y7faVuW z2M`z;sE(*np3!X`An37W1j3G#sW?%}5%@ztYV~Ls4PuI8*fHeY5FkMI52hgmj@U7O zuK@6ee#q((7ae~OeRl)`1n79tbO3=d=CYV390B-4-*5GZTd@hqVw*tU9f?4I0EwD$ zL}2Xfi33C;@Q1$F>Jb+mpHMIDM<76e$X3$<1jZ0nCd@zrSbyldY#DJe^b_g3)w+WK z0fub=1jZynCgUd&{Gso(Co{x_Zh{Vc+$?-6KmeQ#5g7XrBQd@M;va0AI-?a0XYEL- z27{ifXB=tIs<(?!9bmKn*mW+9Uu76Enf&S`d+i5~44XYC79`|6+rRtC(?+-3J@kgM z&uH%%Hs#9eW~)}$sI-H6bzz{|?SE-gux#3nxNP-YME&reOj-Pc74AqJW!RhlZ0w>7 z*ROD1pKZ&qcf4%uq6=0|ABm$3d)F(*E^)#QUlhG9!`}C*v5PL~ZXSuF4ExYuj9ub{ z+rI4l@j%-?@`N4!k=KmB#0jq6b89>L1Ao}zpZuHgmpI|}uSk5G5By<=f3|M?B~Gxq zbtH~5?7bt#F1qlYGbCSIh8_D!bivxTk*Jh|)iY;AMHlYzb?5ax?fwnyeoM%HUir$* z;F(!}j4EF8p|+;&n+6`=YlpK4a|v^+|4rMropYGGIKhrNZH}2+M+7}yW)ZZA)$tz_ z3vFN_VSeM#B*(~L=A1jGW#6{r(oplV?ZAK9uDoTo7|w{T$8aRy+7#@u_l~IAu05cw z>7Sc|xpPNa5beiy6e5jH19KBkJF(HnHbjH7=bs$(-xv#$8)pZvz0nq2Iek{p`+<5? zyuu|%I&DpFZyE^ql>tH$NGkhvb7_lYaezlM343yuqfYSn{&!5PL^kWik~mXcNzaJ) zzGJe%7FkJoVC?~uoE8YKwf*jC+8nN5;Is{Fop**4my!;*%34RGrYx#~6(3yS#8L4# zIK+&D2!q=WTo)g;2Vltu#R0{Hi=7sV4lA&j`9v` z?>XJrMHjr|KOILI<1YiCdoH?xR~J0G>wXwap6V=gqH2)3_ibxB{kehVA5yc^4mJiK z_Z8SF>If;#M>w-~p6<=;JS^CBNOoHDS*Gda*?J$e_kY8bhjV6&eSmt*EU~KtUQ}&Y z&unY@#&f~dhmN!$T+wD8St<30-5r;$?hS@M(q+oxAFMchT^wbsOX-g3z32}=VkD}% zw{l%uQ`d6?OFpv0iAuKN`i0JneK8C;fpAgoJW&KI7u_)}alUQvB9mw3TvHxB&uoz= z>XE0|^$L=0_|Dg5@}K*hETO*!*~PII#KeT_y5PCs{KYRvM`zz_hWLPBbXF|rTjJ`f zwM%BCdcU)?xjq>ql-CRIF8|D*v-2iYDjao&xqUs#Twv@f-BZLOUDo4_nb>@hDI+y?Zad_VLzXzFHhF>r_jmke*V(ztQKI?S zdQ>6=YxkNFmB<4#m+o-lxUa^2bIz>+9i7`_7wdsnk+9MJ_gF z5eIWWCU=Rp413m=Rj}n^M;Z2twTmveTI?vpp18!s7hUkU*inYP$J#{~yd!p$VIQ`3 z(FKQpT<)H28TO7#?I?+TrPxu1z0cZ37u+Uxlwpt9(HC8?P3$Pcj=dzhVCE+zf9nrB zCY>0hsWCX1O9#Ax2ZafeP3K>&# zf7WgtAn37W1X7_@2W5~=6FGQ5F=`cPN`;03sj016Yx89bf9SJ6F#d>(Vdz1NK0Kfp zvI<0s*cR0U(6{#8@PMM@3eyH6so1JdN};y+Lm%M}eZSQsE^Jb+mkhwWQ0&>#@0RlvRXdDq3J;$UUmq7&n(05rq;-cXR_3EY%0t6Vg z0T37gWOYoCf$SRV4}Is4j344+1Sit#n?48-pkf0cFnXSSj}E{edK`oici8U23G`F+ zL>EE0eNU&Y#WswdDnXD~)SANK9M>+DExQiI*u|>$4^qy`d=F~-CxVZEs&IVA1|#a( zY_`1vx9d|~^F>eUaUH$N)Hgq4wm8G19%uN()pC?ywj(ZEtwVihuPKXvaB$~H0%h2H zt}%A#f|chVDjx<<3-TwfiNgrz{%ei11PPXWdL)iA?8AYvi!SK?+;KtSq#N21109DC zG|kr=jl>F;ojejp8TO7<#xA;G$+kzs!WW$n&bD>%=?aaHXoD4>9q~|xz3&ENSFwV= z&n^v0%h$wF38$eOjgyFjm8XovQHDM8Q)3sMB!65`K6OnTb?`|RjgM$$0JgRx29k#z z{@MRB{u0OBDB3dYy+1Q{(U}`XTZX-|+SnzIx>1ay4Et!Gu}d6%;~2MP*b_GyyV8aI zr#a6%lY@O;YMpJX;nw*J<0j$c{{IDWdSma_*|ri+JvSRCi5U!jaU_m1?ESYGy95i? ze@P~fEyF&1tFenNc>K%qA%iW$-n_=xMHg&1eQSIFy{3$@g&qDKw;Q{}36{O|Xi)s> z{5b01)AdW^BidlwS6^@z1}A>5b+)a9Q{S(QlZfThi${afnXS&k@Hby}T4!4eJcmlg zQ^E$@&s5<)oA36A9sZR&jlaZ^Id)u-IcrTEb?_M-Fg~IU=B^xxqYQiE zZetf+Ft2MQjxy|>_ZYkAf`iWK zf)(eF#8HO5?*U^MU2w*CWRaOEW^3U!wBC4$I#_wZ3kOeD=V}`nEyD+z$b&{BEd=L( zS1;c`w9dAba7sR8oJ1USUpNv+8TRbM#xB8vALQlGW;=pLVTXV3BgS9i1Xo`)5=R;K z%A>|Ex*+_X9J*{7_R+_TU39_f?sqSD*x{de!uU&^;IGULozR3nGuzX6Lt44r}Eu{<}0p` z-lsnFxnjR|vFqyt-YRc0WyHa)vegevzw&3h-YO3yH!gJAo2?8V8sPE;;ng*ay5mNe z?-h1)qT(bs)opuP?WA3O)K}00)vK;>q8-~$4c^%2P;+aWTohY`D=S=SHNRjwjVmx- z4ci;4F?ST^Ba9=1L~m|d{~M3#+-0lo*-iXP-=q~b9K!d#X2PS{u~&Z5XWn+;f=<<` zzf-?>_F_Xj|C^j~%Hp8)nk$a)+-8Di|6;a1w?D2sgKhQ?w$Yl|Vm6^36QuV=^-<2# z!6P?)aQ2JF6{d=niX@o)i`ScKX6h)#JHbc`dVpO&x>X|G($@5XnJJ%29OSm#|Fy+G z`F!uXdoO-*ebDvn!fvT}Kq`*9@8TDi$oB7s&qjA-TBD77U<-+%E7)rzw-E=?MBo4zjlQ7P+#yV9r?iaub4_WeUH zrxJ27f6Xk>#kU;f9`vDmj%x32uEZ{S?tWRKvz?akr%ldY-BQ19MgF<_{qE)tJ%1<2 z^|r~Ue)z0CFO`*O{&st-y!f>%+t#YmXByLvy7|P1|+nvaFk6qon$Dnx3k1UW5WdDy2sKGwz)>C&$BCJH6)_u>=VX;!3cdgWf42Axx z^C0`JjvFk!tvPYdAC7+43RNQ{Be6(Eq7s~Y+uN<8efKi$x}hVetckVD7;7VzS9XUf zV_#r-VIOdL!4b==^M8yG0kOOwT=mP#-J!RP&(Pa)ebHI$nyH2ol@AK5qe$o5vMheJ ze@uNU9$Y-VRh_3M?QIOYt8i3Nq*?_C_9)FU-+Muz4lm*mEGx~3s)%QZgZjW35o5uy zA8SXavD~x&G9i&1mOGMA%N;&g?pQI1h2;(nmb>`rZ{GH_ZD6_Y^xJLVu5}fM=l!Ux zbMyU(xadr=px^c3k9#*yT0GqIsb2r14hh=vt5=R*vfIBNSp5F}u2iJw z&kO&2*^~#eP3J6r-=!-g;LySY>X8Stt1dr!mF8x7*IW zO}S#X$Hk-1D&6AwA412FFt6*E? zNl%nvAGLOgqaWo&8TQWioA{y&4wpwUQHH(W+C>+v6g$eWH}7fmqSKFhq6~YNwTn(a z>WMP!L)I?3VCF+};wZzOY_a)^eVN!%hP~I?MHl=)>?p%NYVD#6){7lw*gNgs6J79@ z*inXECW8JGU2yQjbA0S=eEOZ3VfqI@>^~WA`_&UXpy;&HwhBa2v7tb2YO4dwTlGmP)E0l}BmAN7vwFl;qoFixu^S#xH1B0R z5DBBw^&Tz4ANn4vM_jb{9{TPG1PCx{10XO`9eR%rz#sbTY?A=uqTz}4-SUK-6(GQn zEh8{SK-SZQV-A1lJL1Lw*tKm12!Jyi0%I4vJAi$hdv7_`%Tt+X7#&sq`U^gsB5~W%)_%a2fjyob_cWOP5HSuHUXLv>5(zcXy=j3H zjmVg(r*On^;PK7sSv|W4ut$26wh?M;KOA2mC6_(Qh$i_I207WLRc&4-vBE8AUmY{x=V7XM)G zi}H}HEkoCJsIe>k+O|i7dTo9jb@1ss%=m~lIC!f(C~M2G4;^moqSIftq6~ZFBgQT| z`Lb2Mo3drtlSdl6=;S*%(+AYSC%ee_h*rLLlZRhz8TQ_kv5PKP{wMijz?NaJ9A)gH z3s(HMd@*3lu#ejD6`g$7^Jw6|JgWtHV9dqGJm+?lTn@fG(t>@3$=i9f)W5PLE?d11 zFlk4ZnzHy0biX=g(hd~=dW1ZBY0bFvkX^6k5@ulgYv(ypH5b&ww@XD{m-&i0g*n!I zk`Z9;jXzD{m??8FSo``N(>gwB{D(Sm4L;pmgJ)lzw5PS9@53j^;q2|10}pJ!XWS?D zLvJi};$qf)#Sk4BYMK>_-P03C5K|Z~2TDE0iaEIiET#y@X zB#`si!>KwtVjW42!K-h{!@wt-21Y+OF1OL4SPP6uE^^A2fo*S(eYUsw*S+Pr-emCF zU#ADz|ED`_A z3p>uVfxc;tcH8l7Q|`ChNYUEmbER<2?(!NSl(;YHI};-@=H^iLN z413nvRWNn)h%)RIYZslqc|;lZ#Me!H(S=*4NdQ#9p~pIiFxLY#2UNfzlCy*GjVENySz@l)Ytd(cl3^zf~ZTiVX#FQ(N4k z!5{iWm+?njj6)Av^x*+TuT>yY#I~p=lD_fG!2^oO*|twssbZ@>DTUhN4}F9`^j%hu zxX`PaX>N7l0mZOYAQDmdFGhkQ+Y;5TN;7jk z7nx6}S2vyzAi$^%fWVl_l?gMDk7mbpAbXxk0CBMkCerI0PYBR~AsYaJu?ui;!92hm zfIsv&sUU8`&hH8I=D|!61RI`cYq9O3qsm|1wk^Whi5Dh4yY9=e2NcygG$@CSF*gbN zZMv}1;+#CKk~aZHFH#O|2Y$yCdoMIwm6&>)E@JC(p_;rvE(V|c=j;oN8>+M4HDz%R zmOb_QY+HmGQI%TVze!o&zlkhZ{e_VhbOzUP(y6d}ma`+OdZ*6y;xKsiUUIHql(dOs zAbKt~En|Q%*>Ut5b4(gD5Z5h&4sj|!G;t7r{FK9{azRr^u})jEK!uwJjq^)|OQ;eN{cqUa@6~W3H;l*%P;! z_!7sw|6|LD-($-XM}OslGVH_FE^+i%E-1s^VTVa{;o8M=wTcQjU>rplzN#Eh0S8%X z`cH)6+$C~3ixJ1Er_1gEILc7y-7hKQ63Kc%F${&>LLo_51w5eW{H2M>w(KxUTK1v} z9#B-Q0+Cc~)kCE~Pt_JDRQN-m{FU)TT-gCyH$1VvI|2a$^w|Iij1FK2pcCi-{Go3y znFbLT9iLc#mK+eR00DYz8G+IBi37;UjMI*6`B@1oK!A>4n+6d$Yj@gv1c<;N`hKfNTnyR7`s3tXe=9%$ z9EA`VV?A*IxoTP~%T_);M;vrm?QDG+hQk@oLc{$gLky+b8H%xlB0Cqxn5z%-;yJX4 z)%9DWMH|>nh>6b2D1^(G$`wfOT}F_+S09kulXseOcED_L4TpMMjfq{qIIFfRj%sVV zQ$8${SI-d+Cu#{hxZ-2ZuAfge2dRzI@$Pvz^a-aPRn6-UwC~z7xaE`TT#ZbS84mu) z7{iZ@)bOfNli?00pCFlymQ6*^lRC3_<$hDf7MV$TaQg|4ynhY_Ul3m>p_Vxd^qb+~ z5z8ETHGG{3f@c>K>rGjtgM-VQIdXQlH8}4NS8TKEq?u0n>?w{Ke7ZmMu<;OO*!^ke z4!83mQ!ymlp!urPhLswVSb+hn&P??#a%W$Dq1y zj!lW9S$wZC^oVIyx)+{*va>FZ3cLnC^r-FD!*UY;jB>CQcmibjG3)S%d=T?l=jk{q zFdJl7=zS!@!9AA0$5n&cU+NO{u`Pq$pHmkNvggf(4yFW-A(-4UnazS(qtE{Gs~@XQ zldH4-Kbq>{ZDwjWKV!;0Tg?^|0QH#K9UJ8SLw@W-wmK~8yM|0z{PmB0pbUH8v&Jqu z^#G97L#p?gM4mv(Fj3=+w`B z$SX3o2S^nT5cF;_0tuvl?*l!8KkV?YJa7CZj{3b1dD+3H1OXf%7=6JAB#?fO3uV|7 zFB-e(^p|!h!`@jlcG0PuzBtOTV_%9+-2_IZte-inZBeffwO|V1o={DNm9Mmg3v$l3 zs4A#qjyMg@`=-n^{TN`FSm~VX@;NPeF<(6x*xLEDdHt}n#k^r(k+K-P@R5~HN30^X z$}N^`6?kKxwEAU$u&c`{xm`1jKy3%-pY1G+MthEWI$UwCb4x5cL%h$Pp9zOQ>r4rA z=Q&f@&V_b)>vnpVw5m@yBF{%&igau;ul%bKpD%UFLD?WkK4Uv->(wzrPh;6CeV@GW zp!}hSKlItKrri-&=|!O1*8zGS+BEh+2M|~3 zC)xIOfaV8w4FCZGMD{czj=(B_Iv%P&)q&*QyXxT&eV5fEuF_97`I`Vk8+Hu<0Rjx$ z00^uCOi``NpXxxRe^)*Hp~oCUT&2%WRcaZ>;e!So{450aAp{7ZT-6@}s{s1vC$#>f z4rVv>YWjw6pYNpf{0)!zjvU*0VJ1xWG9%HrytDC+_P!8UF0IjvJo! zU1x7o*ZW;36H_xh9R047YgLc?tM(J}PqnQd-B*jHaG^6RtljA}hqbGmY2o?{otLLI zSIjS&$W~q6sK@E-?`p)ZdEO0&^Nu&YdA12Cu_Et3Jly>v=L0cS7bY)q_KWo>>bcr! z)il_3k<;3&Ul$1bS4*XS`9MAWTU+hCKRme4nLJp%%5j|C|MHZc>HU9sYJ9`tem{3w z!)6INz2c8=df%v2nU*UzY_KgW8mx$_c`AN{WAEVNjq}3Tolfsm{BFm5UG>PFPFJim zDaV5&2AtC!jbYziGQdM0lE^y;_?f$9fOXyI-HsnqzY;Q-xW{?ZnW}!PMh%9i11`PS zIl^l$nW~Al>PY4GSciAyFL?I4mT;{+K0QSpLzE;OzSr?$9dquBuDZ`cn7GfG)r#4A zwm7Ptsg{pE@|}5~(;Lfv;|5)db#9kx`E8+C;*RT8&4Fr;oEd(h>P!iKyw9h?j?KP;+`zk5m`!U%6h;(FH z-y`q7Ir@DoE}qE_dMYo(c})Fex1&H=%@GFyoVojrg&%o4dO_vQq?JDACnYEAJ#uV zqt;2RXVNCq+*!v=GtKD~RVnOR?|d(Otm=GwOrmb@pRUy{_a0R;Ew9=riP|GN+Qs2P z^#|=v3h#K*`B8Lu;o}_Np;?9FyztQ_feLF4XPk!u=kRwO)L|`Oer*M5^Wu zug=p}jZGiTq8m6-sA16E7=6a+kEzwA&YAZNIa8t@e4xRhS;f+tBR0w;9e(LrRq|qq zwRTD*`erVcnpt80CfPk*o1D|5QWd`Qxbt*)^JZuM*zP9V%;Xqqx^8TD(G;4-iCJ|? zH{G*EnvTd6*G>1{Yn%S+Ha`KQe!)sqIzq8m6jsP3T~yNADj(fL8s8S3pmeSnQ+H{0GE`ef(MeYa|> zOjA`eetmQfoAC zA2DuzsmV9zwG631DwFCY?+z%^q&%ras*&7ZLy;ooNJUbW)FAn5q0NvAq%x^a^7^4j zlk%hzsYY^t14W9IBNa(iQiJ5*32lZ{AeBjVk~aWFnv^G%NHvms7ZfQ{j#MO7Nez;J zH?$d2fm9~dN!~qBq)B;FiBu!GgHWVMIZ}~SB{fL?z0hVz1yY$*CwcclktXFyB~p## z{uYW9DMu=js-yLjlWMVgc+l}I&`yAFyJDMu=js-yLhPH6lqePR3g<#ZUu@IDMu=js-yLl+WDAJ@nsYI%g+=rn^k#eLW zsY+^){70b8kP4(SsZR19g(6MLlS-r-$$bop6e&k4lB%Qz$$uQ$45>gWljR3ueN4U+#Hv>8%? zR3_C)-WDj*Bzfk<_C>zTvLv4pqJPhWQluQINUD+=B>x3yGo%8kOsbQ-KR}Ttq#DWnGZZOO zj#MO7Nez-jCzVJw zlKT%RQluQINUD+=B>zolGo%8kOsbQ-9Z;l6c~Xf~Bf0;CB1OuPili#3LGs^%HbW|q z%A`8UdmD;0DNibqY9#l6ph%H&q#~(GYLNVYL7O2JNM%x;}U%8`nsDyadw-jAA#jO#Oi0-y}2 zTL?V|lqTg#B~p##HbIdh~E>B2CJZN~9XeeLoZ_QjSz4RY?t!zbCXAQh`(^)k$6p6lqePR3g<#ZYvZi zQjSz4RY?t!KLgqfsX!`|>LjlXiZm%tDv@d=cP11mQjSz4RY?t!KMUFnsX!`|>LhP3 zDAJ@nsYI%g+}Tj1NI6oGR3$Y?ejM5isX!`|>LkyDB2CJZN~9XeodZRRlp_^MRZ@fG z?+tB+R3Mc}b&@w1iZm%tDv@d=HvvV8lp_^MRZ@fG?*nayR3Mc}b&~f1DAJ@nsYI%g z+_*q)0hZkyIr$NdAG)W=I86nN%lv?NFpic~Xf~Be^~lDN>G9 zBvnZblD`1j45>gWlj_FCU|Jrl(9{I?&PYJuI4zMUHzGU)6RT5uKvTVfqNG9BvnZblD`bv45>gWlj&UUW=I86nN%lvCqa=Wpv{m9q%x^a@=k>!P0Eu>q#DWn926;1j#MO7NezG9BvnZbl79xY8B&2%Ce=yanNXxjc~Xf~Be`FLB1OuP zili#3LGr&2ZH81Jl}UAy_YEl0q&%ras*&6r6e&`UR3ueN4U+#&Xfvb&sZ6SqytAN4 zlk%hzsYY^FLXjfnNJUbW)FAm?&}K*lQkhgId1phBCgn*bQjO%E14W9IBNa(iQiJ4w z3)&2+Kq`~!B=1}((xg18M5>Y8^PotPa-<@uN@|e&Z$q0Q6-Z@Lo#dSlMVgc+l}I&` z`yD7!q#UV8s*)Nc{{m<;qyni-s*}9$LXjrrNhMN^G9BvnZblHUz&hEyPxNp+If14WvYCzVJwl6x@}DN>G9 zBvnZbl79)b8B&2%Ce=yarBI|vc~Xf~Be|DBks{?tMN*a2Ao<^iHbW|q%A`8UyBvx% zDNibqY9#juP^3sXQjt_8HAwyy&}K*lQkhgIc~?S_Cgn*bQjO&P5Q-EjM=Fx4qz1|V z5wsanfm9~dNnQbpG$~Iik!mFODkxH<9H~gEk{Trc$Ixa-1yY$*CwW&xktXFyB~p## z_Ck>&h6-Z@L zo#b5)MVgc+l}I&`y9$aFDMu=js-yG9BvnZblHUhyhEyPxNp+I8%?R3_C)-fd8%NqJI?AeBjV zl6MCbX;Pk4BGpLluc1hha-<@uN@|e&wa{ir1yY$*Cwcu)q)B;FiBu!Gzkwn}%8`ns zDyc#8?}Ro(Dv-*gI>{S=B2CJZN~9Xey$gyIDMu=js-yNsX!`|>Ll+TDAJ@n zsYI%g+(9T(q#UV8s*)Nc|6XV_qyni-s*}9?ph%PQq!Ot{a(@d&ij*T2NmWvV34h+_Xy=~iWQ7i zzr?GA_O)E~dq*)<4)Zt1HpR3~zq;EgL3h5o8w;}Sv6!k0H{BY$Ii{n^>$~zou=K|I z$?rQ((dDqQCRXs!dt{?ttXA3B_nKS7dvBL)`kuDgG?$Gz`H0OX`&(&Ezp>o&kdS#} z`6(gE#tSRIjCIAdi%vi}QhwG%*WFc$EtOvbP!V)qDm-$(OZuzJ`MYA*O^%JK z;5sSQsj*JFeBC;6@{k3xQa`1jveGZHt9^9JqmotEYc{Ll=Z!h?lFcf)MHV zSylcbv@CY=)NeL{XI;^OHurcE_DC(hJmKh`;UligKaUlr23YWOiB zW~DuJRuK`Sx9S!8q-3S*OjbHTxtW=N2Wu>c3R>%TbsUOx* zS?OQAP+1)@Y4Rzt;TPp6D5T_edM4?v3w4Db>zlpVrd7E>NT-$jgAmiw9y%>0Mt6~x zt}|)r0D1zd=x|hd>9W~dI=0SB^=VvQy2|8*Jdl^lN&V>`(@=SxGIPo)vE+9784;CN z-@zvB%8zx09Q_tNXY*>lN=WC`Ga_X3IydXIPV{#=rm_Kmp6L