Page 21 of 24
Re: 3 and 4 way intersections
Posted: Mon Nov 11, 2024 11:18 pm
by coppercoil
Factoriointersection wrote: Mon Nov 11, 2024 7:26 am
Yes, I can rename. Both the intersection you posted deadlock. For intersections with U-turns, they should be tested with the Everything test. Actually so does the first one you posted, so I'll take them off the site untill they don't deadlock.
I fixed my intersections. I updated images and blueprints in my original posts:
Lilac+U
viewtopic.php?p=629757#p629757
Bottle+U, Airplane+U
viewtopic.php?p=636998#p636998
Re: 3 and 4 way intersections
Posted: Tue Nov 12, 2024 4:55 am
by sparr
My attempt at a nice simple one chunk one layer intersection with four way rotational symmetry and LHD. RHD is easier, see the next post in the thread for the simple solution to that.
32x32 tiles
2-rail spacing
Score: 44.24
One (well, four) rail signal block is larger than I'd like, but not in a conflicting way. I think this is the minimum size for an intersection in 2.0? I suspect someone has posted this somewhere already, but I couldn't find it at the top of either thread.
If I have to name it... "Small Askew"
Also, another metric I think we should care about... The shortest exit block section is ~3 rails (higher number is better, it means the exit block on the main rail can be 3 tiles shorter than if there was a rail signal just beyond the edge of this blueprint).
11-11-2024, 23-45-36.png (525.39 KiB) Viewed 2765 times
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Re: 3 and 4 way intersections
Posted: Tue Nov 12, 2024 5:24 pm
by TimEv
Surprised that I haven't seen my chunk aligned 4 way intersection.
11-12-2024, 18-21-43.png (958.41 KiB) Viewed 2707 times
11-12-2024, 18-19-15.png (37.93 KiB) Viewed 2707 times
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Also: first time posting here, hope I'm doing it right!
EDIT: well seems i wasn't doing it right, i looked in the 4 lane in stead of 2 lane for some reason
. The score is still slightly better than Avona's symmetrical cross, using the exact same rail layout, just slightly differently placed signals. Is there some variance in the testing or something?
Re: 3 and 4 way intersections
Posted: Wed Nov 13, 2024 5:17 am
by Avona
TimEv wrote: Tue Nov 12, 2024 5:24 pm
The score is still slightly better than Avona's symmetrical cross, using the exact same rail layout, just slightly differently placed signals. Is there some variance in the testing or something?
It could be a variety of things. Signal placement could have some effect on how the trains interact. I also notice that you used a 30 minute test, which will have more variance. The tests are random, so there is quite a bit of variance, especially with low test times.
From the testbenchcontrols faq:
"Q: What is the margin of errror in testresults?
A: roughly for quick tests 30min, it's about +- 1. For medium tests its +-0,5 for long test its +- 0.1."
Re: 3 and 4 way intersections
Posted: Wed Nov 13, 2024 11:59 pm
by Hovedgade
A buffered turbo roundabout for those who like (and don't like) roundabouts
Small Turbo Roundabout
RHT, 4 tile spacing, 116x116 footprint, made for 6 wagon trains
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JFKwaSz24CmQamsJaN6xOmQym0ebRjWBDFX4hSrehqkPNgIZfbY1f4T2Nf1yvNs/rT7uv3d6/rD8/brbPu6/c39yu73f/9s9PN/f3V88vj7cPV48PL9u7m9uHl/0H/lo/Pn0fOl5i196zatCUd7bl/xun24I=
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Re: 3 and 4 way intersections
Posted: Fri Nov 15, 2024 1:47 pm
by zaanzabar
PiggyWhiskey wrote: Mon Nov 11, 2024 6:30 am
I made a LHD version of the Elevated 2-Lane 4-Way by Zaanza
I eliminated to lane change which isn't needed as trains change earlier, and I shortened the lead in as there are long enough lengths within the intersection to hold any trains for the merge out.
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gpBT+0gCmbuUvDWDAjb80gAF3/tIABjz4SwMY8OQvDWDAi780AAHXxF8awAz5BUGJ672ZgTd6Ws187818RqJsKnRxsIFqpOjdPF2SssqWbTiXaWRb+6FCdwfRKDgww0E0qkjJvlVHu1DFgqiviXQLhdyiRbqFGhbVhGfans8Bw7RtOJXpxLQ9iiSEhDJPxlhVvgvquVEV6jNaoAlqRljlzUViijm+i8RkzImHxBTU3tFKVDEDDbp7O4lmZFFkeEw7saQgwJl/eywjr5q1XkjKCqRujVBWIAktQlmBJHSesgLhjghlBZIwI5QVSMLinwjLBXkirLnYTnuOCFHexXYajHG6+i0NxjhH4Z8Iew2sD3+NUFgg1cEiUM/GMqbusQN/rOZUiwbek2wjVHFVr+60MSOhk4EJ75kr2y5JhU4a3entmlJiptXDdzrVHBBzdDVdorYqX9MlZjXwNV1inNbVdInaUmbnaw4QLnwV9cVWlV/7hW6ckRenMOUjL05BEpbjxakz11WLDSvyABWmu+MBqsOSp4JFGiph6kYaKmESWqSgAUnokYIGJGFEChqQhMkXNCDcRRY0kB2wp8Q/7oSo219wneAXinN+O4TsKeOx6Z6dA56j6i6u0z4mGZFQ6YflMc1bJIhU7wr31OmHLnPWkUYkHDW0m/RDl5Z2i34oPgOPIXcPXWl/QDNnRALea+UUepw9Bss03uiS+WzmiYOFPGPXpeAUqaKPVlFxK/964mtgNRLp0vAFaUMW5HmrjndIavsMC3QlsnuYSrluJ9sELEqhdkii3njtHm7SvgAYmK42SKnrI6GadBYiCDYMRJ3ETGyF28FABrDHZqK32RbECNKsrmeilrpdPJGBjAVxzW27b4IBM6mfrgOrDkJQjfYwQyYC7PG8mhgJkTYsotKleom0YbEwPbnYNPWRUH2beIMtp2x4io5MUI0WY9CeHkayqEEhOEdrMKoTnKMt7MCAiYLmFnZgwATnaDHrHcM5mox51EQAM5NX8ROhzMoAZ2J/NcZYD+0qUQfZLrkJwATptRKH2BOwCuU5/G3XwqQjykYefLG0jhwKLUxX3SPpI6EubC8oQm+TOIZuD/pq31KAJyJAOrk34Wt6gtT4O84H6jsBRTJ0TGkw26+OC9DMGdf1wFrZAr8K+NNZoyM75bDRUKUguCE/Vet+vYX81MAkkjeGIeoW7jodZn3mVAnEg2l7sPfahVRcPJXDelCHqxhTWOjCF3cEyR33Shw/t51MkKUKfRGtGag6aA/cJ8ckDD7nLXrmtDseYcq168qqy1D3uOHGXhckjz4iPFpjXIbQ+W7RM8qh59As7Qqd77a0c3WwNWZHXSSZhkN79AUB45mY03kVSjqP4ThXIo47puNcCQEvx7kSAZ7Jca6EgMVxroSAiQa5k5m8SWRgJjN5k6hFbGwUDLjRBUZJb1+66VrfIPjcuoAVfQ58x98o00+aq1DwzZFTi8qJcEf7hGmpZSeErLO7O8xZZHlOhWUfdxUy0tvWgIxseAYkfO6TYQ61UENdHUMtQzVxdY9ZRJlwO/ZAuN0R0CXD+3UJRPSZdM31bZdpDbR5vZ7oX5GChAo5UuIvVo3IvaqRhL9XNbhrVSNFfNUYKNhX0963ubNqe6LWzRYNtRu+5WxXubuOhD9ktF+DrMiOM4jXyHYHabqOM5AlBpLEI0U8UNdZIhVBA1L4BC6QXB3Mu2L7Y4K6hoWfcgPJs6OVy8o1x16zTXLVIUOvyeuQw3ElNrRyy3TciCWXQHG02Nq9AUhujth7YOpMwM+BZekvx0XFIirtWxN36LML77qia1h51zWQ4DYBp174KXLSGBmne+6purebEowcud5kjM3kiak6UIhMpkKWxNNSdSChjdLQKNM2aQAV/0waiIG3tAxE2G32R4jEWG0Kwfo6tkYBjlKDeVXrOK/6ylr4o5MB5NlWjk1sdNutgey8rmMVv6UYiIRbpItA4P32dHHEKm0VutXWRluFAeSJyo5WYSAGdgIDMXDN1UBctFXoQC3RE6ofUl0vUR3nwUDM/nkwEAOdWgzECjby/Tp0HThJt0bPyNJ163SmeiL6Df9EG4oG+PcGYiBg0hF7ondZpBPlgPkUp4yMJCgj07N/nvTa7uiRyMqAjIRWBmSjs3yHIVWxOp16k4xMDpGoPnYOlILgzsCk63FDx6+dbUB67BDhQhi68VQIS7dAstnSjSZCWLoRDNzjQ2iCXEwfg8grp6IatwEMp5nLvqidpZnV3O0IbD46F3cMvAq70c6khXJwI5CANj5i8iWg4EdMvgR0lEjIiHilMVCFzvPxarv2tHZRbaIke+RLINfnxgycnvSbTGMyW5uuqsqIHDMQJlq6BuJEA3Il3sA60rFvLKIitFkTcCll+EgR7eIgELdRkq6qvrO4HkTarEyP7FegJYEFSUSNeW5IgAusQb/3g1zPHdTLR4XAjfiXOraTaAOSc4JVnUkCXmCoSlx6Ph7AM8INnziPYS+6ZEGI8jMF/EtvgDEjLT8syO43KwsSrsRKI4d0+g3LUpa53KUblqqqi8awzb56CppCNNc5luugdq2T4TEceYZIN6ApgRyHNQaVflcOU7XRz8phuJ3eZTDcQe8yGO6k35TDcAO7l2EKOdEvykGqZqIKK4Qp5EBsaA0B0bFDKqFqZOtquqqRrcuAjGxdBuQIzJEBGUgj6m8MzUgjDgMy0ofDggxEgRZkIA+f9cCyFDYlm6cOVOncV16RtNEsEZcyRoPu/2aNBs/Gi44Gz8Y7SiRkRHYxfcQrTR4yRrzyrDv6+2tkCzO+n0jtt4vfD5aPj15cDBTwqvDGXDFQwHea5TLKoAriFgr/EnPVV1+GKCEXkRimxPHrLCTmTPR15itQmZ8t86OmG3gr/KgZSJXmwlakcD5bo6+4NUGep5qt08PY9HM68fjMTvcxkCZ9y+z8a0VFXtw7MNthuunRfU/84BlIwg+egZTJTzyekBrQymP2wn+wHnT3SocfDbqcM3FGxB5mHJBVrM5Pi4E0+JHTF9Q+eZ0MpEVkl49I+hY2HI6gL6GDfzetLcguBv882gFZxWKO9fvIve1fo/Jz+zSO/76+uvt8+/vTX72//3L78fHu4Tk8u795f3v/9LN/lh/e/fCP377GbH/cPn76eqG851XXarX2NdfTWvJ/rhbK/Q==
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Wow! Impressive results. Both things you changed, I had for my personal reasons. Thanks for making it universal.
Re: 3 and 4 way intersections
Posted: Fri Nov 15, 2024 9:23 pm
by Factoriointersection
Updated it.
There was an issue with the safeoutputs so I had to wait to test until I adjusted them and I have retested the 4 way 2 lane oneplane intersections.
Great new intersections added=) Awesome guys!
Hovedgade, nice to see you back!
Re: 3 and 4 way intersections
Posted: Fri Nov 15, 2024 11:26 pm
by Hovedgade
thanks
I got some additional variations of the small turbo roundabout and It is easily possible to make them more compact but then they wouldn't be as beautiful. (One of them has traffic for the left side of the rails and a zero tile gap, so good luck benchmarking that one
)
0eNqcvUtvXMnRrf1XChxLRt4vHnvQg3dke2YbB5TE04f42KJAUUYbxvvfv6LE2rtaFVl8VgwaaLelVbEzMzIuGbHivzcfHr7dfXm6//z8fz48Pv5/N3/+7/5fvt78+R9n//Pl//t09/Xj0/2X5/vHzzd/vvnrL39/dwiH5/uHu8Ovt1/eHWIKvx//Of7L4fnx0A4fb5++/vPzX+6+3v/6+e7T4cN/Dr88/vvu06+3n+5u3t3cf3z8/OM3Xv7/24eXH/h8+9vdEfnp9v7h5n+Pf+Tzp7vfb/4c//df727uPj/fP9/f/fgb3//Hf/7P52+/fbh7Ov6Bd6e/+fX5+Hd//X/P779DvLv58vj1/oe4/705IuX67uY/N39+X+b83/99d4GTME6/ipPfnX/J+9fvu0QZf9rl+VM9fvCn+6e7jz/+xDBwC8TNO277GTcauHXD/fjt6bhD37/6/e219Rs/oQYDtunb0q3l7Fi8vhDPWsyhb7Yp3dS/slo4Meif2d7+zBj177TlS6Z8H6zzdwLK4JTEjHHnAtf8bqgsJe7Kkn5WlmYBO7QlkXVo+v4nsA5dX94IYAeFTSfYMf8IWyzY+cdd+/j/bu8/ry+6tO3dGOSiSwHeoPMKcLeAI12OkhfLEa31SLvS/b/bh//7/tP97a+PR5EXKpw2qfvba52yrNA/w5oHORX5xP2Ma524VOlFVtK2d2+rc2rSCpe+ENnE7truxRN2Bbs32FFOdT/K9eejnC3gSe+hFxFMeWOynCJu37bj9pN9M2Ejhk0Lca2ty0m6iMqVRa4WPNa9UleLbJ2KTK1eUwWu0lGuUVlrTQXjpoL5bTXJogpmBXsoZyT1fcnzz0tunmzuWYYTcHkbtgTpZIdd6gv3yFqUEiX4+MdFsQA1E5hXp8M6eSXrZjsDNSxFMypTkVnUxKpgi5q4LUoEB0PTxDgVbGoM98h4RGIMCzeGbSGvaQxroLq9G9n0tm5XHOwlZXkrT4xEBTbrHgGJpGrBuGUhrqUctUo3W7ty1CwLW0VHNCqid6eTS7CHdh9lBXtq2FPAboHe/SfUPoFmt6hdc3UBbilMS754AmFnfHVsN114+0ZqxeltdBTQN00n8xV4c1E0ncyrk2KeP1Enq4I9fN46whZ1sgvYHetkywoszs7EbSU60PWefIFLB9mZDh8R0u5B905cmo7TM1swhOStUN6uysvzokHaPJ4YXR4Ky/vo/GFBWl/siea2gLVUYwTtFsoKdvRFQQg7+aIghI2jwhYVWJib2ZPavZA8wcCJ0e1ggLzaaPjO3M4ESQMOZxjYgbkew5ctR9jT5553kACbweeeI+zoc88RNn4SrFOBxa5oW51oE7bgB4RN/97Wk4m1byioXPu2Q5yB9k3ni0QH6dCpv0j0TDyAObHH0gV5YwhODxxk0mKIThccgXPF6xIu17yVjti4WPXakHCh09nDlSNnI+PildOrUgf5uRi6bKsRLPY5Y5BwsebtsQ1Jf8YYfM8yHaQVY/T6nSBrFHkZzO5zIlyueqsTZ+MW3ZgiXGz3epBwseJtsCANFWOXjT+CHbL1R7D46S8mBTfh/MrmdzeS9Iy8/mVzMBtI3MSEXx7a6jjYuA5Dh3Adhg7hcm1LEi72M99v+9bJQeuq+WyDwA7VfDLYKZtPhJvxK18sEi5+5qtjgWuehpxkG8Rw9YCO4RbZBjHcSrWi110rTCSuX6cAoFVyAmRz1hqBlc0Zg9XNGcItXL+ahMv1a4VrnquiWzOGq1szhqtbM4bL9SvvWmEiaQ907zd1zeQY4BeCKMHqRqwQWIcRI7jVYcQQrsOIkZxAdRgxhOswYggXv8f1s2NmImmVYb2/ASfq1qaqkew+f32TYHUDRvIg1WHACG4LukEgQXSLukFAuDj50ea+bSZS1s5qfQNOK7h8fzr6dZJd0vRq8+QYOPYQqwTbdWtAMght6LcrCUQbzjS2s70z+5201OLmYazgtGRin2/AJZ/DUknU3TWlihI2N1MSLHYF29lSmEiauerxDbjuM6YrOO1p+v12jEg02KfPUiNwsUJEw9aUq52tigmX4HPQXgdYC2nvi8NprlaCauZqxDfgqtP6kXBlNKf1Q+CallUJW1O5drYqJtyUg9ZK+pQn7Ente+FcTejQTq/pshdgiqZrq6WsxHOfsN7x/d6aWwMpEY6zOE0uErv6TC7CbmxJ2rUlsU9Gd9pK2/umlR8jyoJqlm3kq4KmgN+/NgNcJml5Fqs9NgtcgC+fQnJZYIad5YjuZ1yzWTsU2RQX1mkf+FNY2w4b6NUOuM549/WCfcq60pTQ55UVsCUd/FFhOwyoc5/Xe2w+BAMW6z02J6KAGCJxipN+JrWJhHOHfWx7BnYs4k63zdU74ppIOAwbdbGGpr5GWEn1Pu59baWS8uTEKzreb9mz0ghw9xn2gqQeLsPOsHVXslTEFoI5FnbgZp6zJLVx93LlUFQTP+k6W21Js/e2LaQFLCWpg62PKythah4v7RhhoR3mnZOg9/j+rCm6JLYknRugbfcyARYsW5WAJ73e9u6LgoqTU+Y+5RYRIZmz16cEwXHipR79DNdEyt6bIiH9yLibe7fJhKMh5aob5UKcnYw9yZEWEpsanbHajaythERkMsoVFTEv+4zt3ZiS4AXmTma6cupMkXkJyPutOLmA4uRUEj0c71OSgDOXOErAhUscJODKHcMpAWMFfL8VBjHg7ku0FpDuSUXSwvd7F01BebDEuUx2l4vQbaQqMQqdJYHKBTHGNPExxdcYiwW3rw9eKjIljeGlIlO6Oyqux5pVwsWWcBZtgZt+i+ZJJO76LZpBwXniBST7Lcoknvplh4Bb0C87tBRNCgHP8vKZcXE2bgk37QMlCqllPQgO5J7TuEzO3mvyRPecWGfSV8fEXpUmX6KZtH4kXmkyJYXhlSZTujoaNoMzSQvRg3w7I4F7lG9nKHCiGYK9fTJfcHZEMyruWU8RZESpKinheTyfGxS96gE9E11wS8MC2LaznZvD/ZIGl0YfGLdJKyHRPL9Pfzx+Jhtu4OZ1l9REir5Sj0yeKkaSQ/hMyGzSgM/nZ8G7oQ+mnR78yaFrMlc5LQCBYepz1mv3mg3NNW2TmbxlDC342x9hXqiH7XOs6diZt1LZUkyucju0KeqM3uugsCudE5XstwN5iZ3ZV0eRySuRWLeyBe0MHL73jXFtsU03eTb9eTrbueWJfcv3m9NayL4N/eguJJxyEPOzhMMkS3dWMWeQ/M8Bd2vvMQbCTfLjNMPF+ZRRFots4xb9Mk9k86r36r1IiNks75ydZPfLQH9H/rlyZe1WXxPZ5I/nRSvbUTZruHKYvprhHMkwgeB0/hA4VrvtwYnhegszkz29KuqlmGmyUxCLHqgEoHGcjeR9WeCaChGbqwpktbBdZQDE6zp8jkia5HxNnyOCwOlInrNng4TSaTlFX+0oEzv5XoKSGXTmRFVuj1hSZ0eDj+PZPJSVkNVVrL9Ca77y/NTJ9nSf+8TAhy9Py8Cnr1EomaFVzsFXRLKCi7KDkCo7p9lX5bwSNPu8hEQGs+Ti8xIYePX1BjFwJ19CyvYqd595XKANtcUwgQabzKtPWl3gmoFuLsFpdEnMU6LT6CJwr/WyXfKSfdXdK7iitkQnMLEwc9aR1he4i3PQnMaGOPdiyclubBD48FmHaPu3ZaoxXgS9JFlgIDk9myTi3HMGkq2XPYEH6Fx1loRIuoxydXahRuLRVmebXLTdu1pV8pzYyVloKsFHHOQodJngg+EOmeAjDrJZUyb4QLh8KE5fbZt9dJvTnEXiMzc9vR9B6XHmM3FOWbbYyLjDIt9nDLfKTE0Mt8lMTZFM7uSVI9v9y3CHzNTEcPW2nUheTDIfe7NbYOL59qiyBEbwepJ7ku9gBJv1OxjhFpklkOFWmSUwkleJ3nSbgXC7bjMQ7pBZAhnulFk4I4rbeK3Ids7I48mIsrVAsEm3Fgg369YC4RaZYzqSYuLMy0U2jukYyRRfh3kD5G55OMwbwnWYN4Q7ZTZdhMvrRDZYEr1N3bghWN24IViHcUO4RZ7QECbRNpHYZCvfD5NI3XwTGgKol82zyxMaGK4jliPpgumI5QKZ8x10u4xwo8xFz3BhOfL+tBAaKpcovH7kJHAAwX0RptpIsFU2+AxXnykVOlpe51Cp0InU4ky3LoFjF7Msl8Q8yxG+apd27TBHE9o5WCqAIZMl6oOlGK4+3SaAfFVxTLdhuPp0G4bbVKclgAxN4dNthgQ75BmQAV3IYkXJFigEUJRbUvBNgWTgmvZto2MZePLNgQyAtKOk7BsEycCLPAmS4VbZNwoglVdSk30jhttlyr5QUVl10WffhELO3JRnYwfCzVDEypM9PAFUGEXkRtmjEwSuqWGaEniW5zjD9camMK8EtnFx2qWsDoipKpwlpSRJXqiCZe+ECom5XrxApayW2HYXM6QnqkGWWSxS2UNistYlypOyGW7S3TqQUi4Fd6Vu+0dSk6Vob+d7fAUmQ5ZSneEVAm/O8AqBa4FhzhK41DGX9z6mEFF/WylSA12JV37Aqk8uNTgDOZDULlWMErsEzgtcsoQrzi94Bc8T5ByLWN9yijkgeHXFHBC8uWIOCC6R1eat/jzPgXovS8U95HksBLcvXV4DU1YrYuLyoTwlS7j8wWIzaiRvynlUTrhQXtiTUMa1M2E6JeK4nqqts9imMCXw5opq8iTpyNZdUQ0Ex85rmhKulsvJVQHvmNwob0KTPFyXOs5L2E94I6SV5WdqFeo7HFeFOSddYt3cYx3jA+x0A6+aKUVa+ep6+rs4LqZ2ijOAapXAfc8ceZLUX4cjFNKZAWbkB4XX0aSuiDwk2r/cZcEHJj4qYSG47TnwkppT6uGoNuBsD5zb2XWGZEFHUV+TrDU2LbE4OqhGSe7m9IpJIm3wCZJ5xzWRhm5kCBFw4SODdmCSOpvB9U5wAW5u2oy6n0DidV5YkzdtTgQXuqk57crBOAvKlLjG8rzyA2YGYPLUal4ste0dcAqWTTeG2dJTJsym5t1FGp1VZcyhC9ltITEJy+Z9DnO8Rg3c3+w70psaWznjynYTjE5wuVJtX17tL8cv9PuXL5CKLlO2kaq+r8VGavrXLWSiCrFHxSOT26AG6ALmvCOHPy32YOp7YDZj1hj0PUg2UtT3YCFT0rX0olL1X+9u7p/vfjtifHj4dvfl6f7z8/HvP9x+uHs4/re//Xb78HB4/vb04fHw9Pjt86fbD4/fng9/Dcc/8++7p68/mONbmsfLp5YSSq4vHuL95093L4WsL1LvsEdZPt19/fh0/+XHj9/8zy9/f3cIh+f7h7vDr7df3h1iTL8f/zn+y+H58dAOH2+fvv7z81/uXs7A3afDh/8cfnk8fuevt5/ujgLcf3z8/PXmz//4783rGTn+wNnJudkFiS+f+X357u9+/I2fJ6zhyrhwuoQXvIkcqF4Fyg6JTCXAVDNnQA24dZXj1gWulTNojgU0v7s7FtC864ZjAYlfPB1fao+kxH1T3wf0/UAiLd2cqen7sDcT2Bz2CUtcU9gjuRyQsxqzvhaJdB1Hjx4RPu3oUSRABhV5nes8bV4CCSDM3hR2XzixbFuk2Z+w2/5L/p9pTtDExyLGxWLYnMNiec+JpDsnMmEK0szEuSc2E8t48MFj38eavu4imajk0D/EpykFoSnsCULIvJOqftklMrlJzP7EugC3KaS143diEM6JjN7ida+zKriT33jbShebBZEjjYWE0SZ7w8CnRqULYLPlR6ypi1MBF+sGxrZppD9QrRuICnh12CqCK+reZrkReNdupLM7OqA7WptH9ocrbxEQZ8HnPFtns2dEk21e+3i7OB6Leur/yYkkSqnvGc98jMhearKo3KujbBd6aeApK+Di+PYT21qOqFhABO8KeHf6XwhcHH47pwLu0EWbcKoKVrAtJDStYBXSIsqn84FjuzeOcHnSZLfaoL248tjvRBJwIa+JK5bLpaiAi7YvdQW8837rDZe0DFZR5UZeoJvnYzq9ZQLe1EiwKuBio8cWWyHw5PUz4mIOTcte1yh25Bq14nU/IqssalV3EyLrw+Y8Ume3CehsbjQxE/s1kS3Ppg1n2BJBdZtYOZdSFcA5p1TKUcGN/ALcFoMcvJ6cQVwECaWenUEcAlcjxK6AC1nSIq1305MREbxj9O5w78hC8OeILS6KIJMklMfFlbzmdTeCM3AhUg/+QpGmgkujxLzXrMaCrn+BcKpvJxl0dQmEU3v4RnJho3rjN5ALFGvjzuI3At698RsBF7Mz+1NWzMgFGZPa83gN2rLnYuXcnpOOIA05ozeqIeCJK3xXcHnomFdaaeJy1sUTTVAmdGKTs+P0puDyV8M99CLFeNP7UkHI6+bwxl4EnOphOPOrWWllDMLT/WpBzMffEL0eO0gXxiBoYZWABTVcqYsNXDhwk4D508WJ5jwHQEQeA5zeGft+/YfJ3tlDd/gggQg9OPCQgDk/x6iLZTbvpcirZ/ZwCCILzmleIJtnLvL86VZETmgUY/RYQQRceBh+piUmFFe4vu0XKCKOnJRqN6mE7SpyWqo4ggTMexm3JnHEZRcjf5xIYyGyeRBS0C94BsyVbauGDWblZRT5p2Lb8MDsocgrZGLPEnDR717C5hQ5+1QcSQLmGjc0ibvzJZbwk0VOQZVSW4htA0/9XkfAWciC1n0pTCjRsdxIB1Z4qrJt5gG0iMUsKFuVgIvjTi8EuDocHSRxc4blhM8r5u4wGIUAcxu39UcFu0w6iw8NeV7HEzmlYtv2CwyliuLkszNnB6En/QGXAWc9NCRER7EU/SUnRHvjVFLv/gaeqFpbG+MKr/sckDRJYKlWtZy8EIg+fQ/4DF0ki9qs2Qu6iee0Zks81ZptX08iFJUY6mQrIbr4fterhF5lA5EmcfzVOpd8tuQmXvdZiSWe+HZe6ht402d10iRBRIOM3XGnbj0CoxaMFuXA/UJmO53Vkq98ES5Jlg3PC7AJVXyGZ4lXfYZniSe+xrXte4kHKvI6nRkehD68psH27tSylBKv43XRdJX+Bh5tDmpl11REyBA7biw+cz3A41IUZpu1IQEXx7UVWbK8V7nUJ03UXtndpsv2G7vbdC3weOy1Wy3yOtXpk9pO5ZMgW0kcPJ9/4rxLA3WAciKmM7+OPG4Is802fbOJSqJQXXLiDIYyUg3rG8HMUUZ03QxnOLZcg8aPbV6cAPPYcq6lVKYELNWSHM3+vsQddtZOfi7KCZu8QfCxZmdn1/ZsZ9RWYVxZBXOZJ7drmwfKFkFPM6ZBeq1ncTo1qyWuTqdmhcdrmctYrKgZ1VHCpWNcuZ8C1vocOeNSrBt2JbvFH6k3z5kAJ87HtFueAYpUUxBMWlpIbD5+pyDYtCqtRXZcOAhYeD872z0TqvKLJkgyNumKPLfFhVyRifI6HT3uHboyygF1htnmnq5WmZcsl9VJsEkd6NyyVMa1VbCx+UN1jZrUvCqrZg1ZGJK7bRphAuCDy+K+GAiYa2ANEjB/s94XGQF3LnGTgEXnMuxHOjPFjtPtvrJS6JSC+xcuBsR08weinvIYBVyoKbmdWih5dv8AXfzizDLa3IEp0d66Mq8shlnYnhJv56lpoUX2HZj4C/fuNRL9FMpJapeAOc/K8kax1yLzKq4q2QOBd6UOTeTkMGGRiJwdlgY8eKfssY1IYsE2Jklij21EEntsI5J40DDz7Nq8SESadFLZ+05ns32mEhzJiwQsVOE6t2feki2j1kmez+73C1YY8yCU7P4Blj5ORessL0n/her+BbhITfuBfuUHTCNbusPIkiahVIbDyJIbRGBb2Y0sAa4eU4iAPaYQLTKfW7bnvzroS0iVp0G3RWbA9PGh7grfL4Yw2dBVz9kxmZuzWKebrxqpUnqHnRjbWANTn6vWyrpPPzvKahOApCqUMvfrH944vdFpdNrFDtmKwEeR7YnwDniIEp9FdpZhD/bX85acLe5iMhY9ewaXlXM1nEaxQZGbnuCCIlPlqumPZ/9t5RLrUvb0QrcJxsW6lL2KZoGnMKScQYFF1aaLnTtrvS2ulZ4cGrv47ux1w/oFaY79+Zw1rOwXti1r1Wsa+mIFeYzWwvbBhImWU4Jtoc5KxuErfV/i0XKTc8t2+ZhoUuQGPXjqhF4/DY9xsr9/CFpTFkKaR3xkvSCiE93B1SYt7jvG8qVDcPi2+85OZA63i7fA684K7BXekNlxXqDA9mCFGle2x4Se+OktX4E2dXUKGpW2a4DInBw3PRkRkWZ2FuR2O4kk1pOcOSMLvOp1RhZ4zVnv0iPZp6675T2hfeJ5ixIWyLbI01k1TBYkB2cH29EJtenYnT1rSzy9S+0F6s2cZw7ZR456gW4va5F70SFw1e/dNsjlmIOzhw0K3p19Uc0ejhSG0/Ku8KbT8i7wYnBWdjfQS5VjdBbSMPTkbFhi6NlpgZrNaB+L0wKt8Krc2J0aiI9ybD6a0xdBwbJ2p+Fk6MNZNsrQvS9lzXR7szqTZ7dCC7zosEIZWKGUZLK1C2DztTsnR8/aBXIwkb0tbA0EFjl5G9oYujdea9E+GF0v+26RHIzho9y8QLdn0EyZl+oC2D4c2ZFLhMhuk0f84Oxk/EnV9luzzvHzAvX2wXDQjqQWyOig6mOGvhDbRm9683cLZOO6TGxzIfHiwHlNXiX+cJ56L3Tt4ICUIJNApQoaMjKfx7ORQEHgJE8Zu1gKG5i/nKWwkNjcvFJk/icIXGX+Jwjc9ID05zW21aR0mf4y1UoO8pDZ+FIlfjivBNmvUARcg8zcdLEUtjdXo8zNfoFsAyfdE2DAWb/wK3hxyLXI/IEQGKdW9pbkWkhKO9cmk19eHgxT+6rO43oUmpzl4TAjCHjqIU9FIY86f2fMBbwpt0BeMs+ATagkD9D9Xnbw9ttWbuoEutUS2ytcfJzSEL3KxGEQuDmsKnj2ya3LbLkQeMik8ccTQk7xdBhVAtyDPHwi1UjUukdnKFxJKKxO25lZQs90fvOZTQmkujx3cQBWvPID9rqLmZgwFytjozuHIkP07qO6hOhDHkEBgafDtwGPiHkEmfweAkeH/0HSEXT+Tuy75pRJCn7zyDqdT5nkqhrFN7rrAt6Wu8o89RAYt8xto+DpgggzsFYi28BDngYGgcXn9iiJLY/d6RJ69A3aguhJryViwNnhRZHc4Cz6s00h7PhZrXrZIplC8lazOQMZhk4JHuYefZSOfJJJm+lmuQJtS611mM+9/KE04u6UIMxQ3nR+2JPRtbLnkK7IOswfEOe15is/YM4xV6tjwkp97KUuziCVoVdnkMrQvY/4DL3rr7YMeDgJUgtQzqIWz2whGkKPvO91lgWweY2XyL3XHbkRkXmv+VythS0x52HZslAMuDg8NbOApkRhUmuSZGzOiJShd2dEytCHMyJl6NNZzYjQ1XKaPawBidWSovPhmaEnh0uSiLdTkqCLp6C6FCJzcfs6mThThc/zOVN2M5ddUnP7Ohn5Oqm7fZ2MfB2x1OY7tZt5/mzdEaYqrw622VxXsjuWJHJndyyJ0JM3wgFZ1yIQsuyKSXLRRai+2TMliYgs2MywENmWuMkT4i7Xwj5/3etnI7mHMy+fJ1nu6Qj2AritijDONe4Sm1DuKDIP8lZYeN3NHt9lUNtUSqZzq/fLOqNe6lKK00nLIBNVipBh3VYE5FxKafTFd/dCciNtG6V0eTjxUWZStlAELpYYtrNHgB1GMZOO81KD40yTtRAqcHbFtl2mip//9ze7nJFK18zvte3CLLaUvHl984hyIStZHVuUCTB/5t8/PtofL7xb1Deghi5Vsi1CnY4tAYny0oL+uQsZBUaV/XO7DZX0w5zsjGzL+solcpO14li54+f+693N/fPdb8e/9uHh292Xp/vPz8e/8nD74e7h+N/+9tvtw8Ph+dvTh8enx2+fP91+ePz2fHgIxz/y77unrz9C0pZmmbMeXY6j9/iSlLr//Onu91crsaMef/3T3dePT/dffghz89df/v7ukA7P9w93h19vv7w7xDh+f5kkfIiH58dDO3y8ffr6z89/uXu5l+4+HT785/DL43HJfr39dHcU4P7j4+evN3/+x39vXu+t4w+c3WY354Icv/L7gt3f/fgbP9Ol07U7tQoUeyIWTradSlsXONBt2VsrjzgohoW4ccdF3BM4ZtjXjxBPNH1bzEQg7rXetwUw1g99s03ppv6V9himoH8moA3mqekd1pYPe/mnF4XCZhfhKopTSWtBk4GgspQzZQkk6RUd2hLQ7Dl9/wOZkCQvLxs0g52vk7RsTIkSq+btYbkMFOQkSAmyE0gZwCYXDPbqT32GF8ux4IoWm9VO4ITdM8sKPUgteSr6iSMDJXCu+US5UgZhm9LegkpfiGwzWYm5pxM2IbgetMtgP8oojy1wfbeFvNFmbsAerrIOnOd7P8WkchrHDDktpLX7F6X7rVzZO7NwBqteqau9s7twoDFtqsCa9tWorLWofZvkpMJWfOuJCrZkA1PdlzyibBzXw3ECBhW8YpZ5D30YFbXIBz7/uChm6l7SxKTKq+WXN5eOcM3z7PLubKBXKdEUTkVmTRlrVbDFJ56TMhKmWHUIfRewKyWo20MUxhQrEH6XhbymCa+c/XFzDUDaUGjxlJa3yA4Hgq26w0HiP551zsoBrjx7sjoLls6Js+hLVLCnzyUn2GJv54n8mWFrpQ51Ktg4+7KtBnnnEts8Y16AWydPbPLcoh+EzQuPtlMN0vCtOZ2YjtIPTSpBOkvjdlR6LvKD59WCm+dP1MkqYIvz7LcgAGGLOtkVbKyTLSuwOC+zbSAZvtaLLxzq4OT1Sosj9yNdiSfThaojRV5M0q/Ky9vJhrR5vNBheSgsp4P3c2ZlfYf+IodgeVKmLWAthRuaESxZwS6+mAphV19MhbCx4rWowELF2xP7jOx74Ne8zR0AScDBKUa2RSCp0BmcQSXIh6q9m1nBTk6nH2TrRH7y0hXs4nT6CTZOxuz+PoHF0WBrixNtwkL9a2euLWoFEGjLN8V+WwEnflxvAmoMnGNkOwqklDmqrOVzgW4+jYYkv/j0SJyWGDjHa5UkLs6gAST9otieuUcNCBybvz1iQLi4HrCVxYm2cbH6tSHhYgUMJ1iQ8IsxyOYawWK3c0iwwpTDV9xG0qkxZt8rUgN5vxidnmcD2agYudWrEi43e2mxhTZu180pwsV614OEiz3P9ycLRTjzYwqqmW6DwEbVTjNY3v0cJFyBuGexurZC89KXuto28zjw2pe2Wggbt8nmiOF22RwxXFx11s/W10TiCrbduiAOjVm2bK0RWNmyMViuYEnCxS96dSWvuf+8bbIlCbfK5oHhYjeyn50yE0l7P3+/Wd1MtgurVZRg5eitgaRMFIjJg4TLSTyKhIuVrK7WwTxcnJW8BQm36EYB4WKfsc39mJlIWqFKr2/Aibq1mZZIdh/rlgY7ZYNAMiN8Bv1uEBBu1A0CiU95RUpLEi72EFvft81E0sKwnt+A07Ie70/SkVkSURw0v3lGDBw3IlQJdujWgAT9fOx8W+GaJ6vh3GM7WwcTSUs29vgGnJbc7/0NuOxzWCoJY9XSEgm7qpU2DLbJxQLVDl2aZq42Y7qCGz5juoLTCkXeb9KR6EqsFNksNQPX9EnD1pRrMyrVjgYoHXjfS4guJ0x0E9lprlaCauaqzzfgmtP6kXBF5PrerR8C17SsStiayrUzcLOzL8hBa82kYzDCQ7sX3bBhFXF4TddiAUTTtT3+V+K504H07/daqUui/WgiV6fJRWI3n8lF2PRVul9ZEvtkDKettL1vOq2+T1VQsSRkxOuCTtyPuhngQobZRbEEZLPAhfjyYg2Ihl3kiK6QPuhZZVNcBjsSODl/mohQyESEyGfX775esE/ZUOqZe7+yArakQpJ+Owxk2FziFSCbDwGBo8+JKCCGSAFnO7adKzbRScC5w9P0nuOegYbngMmeNlfP5j5PAYdhY7X1Zhd5gAxq7+Pey1oqqUFMvLjj/ZY9K40AD59hL0jq6TLsCDvqriQi3E4Rd7jtwM08Z1FqLO3pyqGoJn7WdbbakhbvbVtI90iKVcK/ph6m5vHajv1uWKwEVrTTSMFC2NZThJwK789K7C45nu3FFUzZZnEIDUTilmyrTmLAkV6UZzrBGCb4tPo9tmIyZ6d3CsLslPC7WD8T2kSq3jsnIU3jZR29viEp9xXbYi0XvDa4UeY0OrcQmvbE6zpGlATOQdmzcU0nTDuRccQ2uiY4LBvep/QUxlufeJXH+63NgHA2p4y9yPcpScCVSxwl4MYlDhKw4FNOCRgr4PvYJODpy9EWkClKvPajn+2fiRS93k5Ed3BJeiSUELsWpiAdq32zLwpe9zGkk8Zn0U9J5wq2clO6fQq2eTNpCyylS87yv5c87Ca5XZlcpU+Cg6fwVIOcMCqE8SJVTQfPFuSCBmWa+Ek3UBmwDyROj70bKMLvnjhnyW6gmMRVtyMMuOl2hC2FRJbwfr+gv/Pdm4jc5O2aR/Rj8rXdV8DkIgxyWuNnCW1NU2tF+mKnzO/n/NpjdQKiDZxli4TObMP+5QyawLqpYwI32SRBgbtsQ5nAOJOyRx35Io0UzexBc6RSMmLrlEK887xHLkz0HvXEBxMdq+D23pdJ5rlzQ7eV12WUwe08xmvSSnBDtx888zLuEhnQ+/THg2widt1QLJCGr0yHjChJXc+hZEJikgYkvBtXNcv0fQdPn1RN5iTnZSAwrOGa+doNaUNzL3K7Dez836heJywtdGBoWrW/YlxOrll8fNcvgMXHD+8FkJg5GHoTWiZJULGYpM0FuLm+IsFIrxI4TFaOdm2xTRd4Zr2YwB7FkybXr7FJSfbNYbsWEjY5FfCzhGZWa3ZfzXkmyb3Juzu7hMt7ZdJiMWxC8yCXKBB5c4i6MwcmQWRt2vvZ1Zsu0i02SzivKtl9OlCxlAMtmYzXRDb5x3mZSd6QzZE/4jz3rcgsTXIius/dY+Bc7aaEO51ltPYYrxyDXDibOjsFvJxku3h/nuplahwf3/6+LHBNhRCJQ95aWKheSV/X6nNEEkg75ejsAmXgXa70vVyUaSIPX6UvE9v5+JZMZz3TeTnv95L9VNnRSFH2fVdCJldrxQot+5opUiVDRYrPfWLg1ZfjZeDN19aVsr3KzpbrFdzQHYQMz+l01aQvBBVnre9eAgiesjhqvWcJPPk6uRi4s1k0RXuVfe2hKzS5ITSB+XQ56w2hiczTy9nZH5pIbJKd3aIM3Gm9ou2Sl+CrxV/BRbWBPYIGksynp7cVrn0OSvYZm0ice3G+Te8SePVZh2j7t6WpMV7sZOO6zDwQiXPPp6W3Fa69qlPugIqk5yXX4LM7kXi0NfpMQ7Tdu5pUqqMIqr0yH2FzSghGUJCeeTnI1lDCcKtMxxIb2SydvpHhdpk6KFZ0dJ3mLBKfuerp/QgaqTOfsn7KskXAz5T5xPX9PkO4SebVYrhZ5tWKZPIjH8XegoRbZV4thquTzP18zGzlaF0mIY3E820yWX9M5DzIlFgItuuUWAw3yiSkkZSZZj6Wpq62zcbVSR0jeUbpOqkjw9VJHRluk0lIIwrceHnItg7k9aQP2Vwg2KmbC4LL6Ue2frYwiV6M6GPbDpNInXxs22GSYbNZZttmuA5LBwrG83BYOoTbZFphhttVlvtAAjl9KA2Dle0cgp36UIxARtjn6RyKETqRWtO7bX4FA8/yOO1Aym7zLPI87dBQIVyezrEYoZPJ1PpYDIbbZRcgkJQHn0qzuQAMd8q0/wS3BPjetj9jhIJKM0qIqm8RQCKhcEaSJsFmefBWYMtQfJO3QiVSV9/oLQauPcBtYwAZePcN3wpkErrIXlKzBD7l8VsIl0+o2VyYADJZhY+o2VwYhgsLJ9terxAqKpwsnMFkWwmQvimxqGNOA+l3L2LNyR5EZCJ0c8YQCFzTwm0YOgMf8hxwuN7YFuaVwCYuH1WTp4SL8y5ltXumBibcglOSJC/sE3hh+TnhJuQrFj6upix10F4LSIpXgy5z8w09ZWvd5amnDNfhhxZy5qZamhBICrGIZSp7QAhm4JXsjQcRuDceROAiP2WUwCV6r7wP6AwRNcaULPXylHjlB6aJ35yRJ0g+F7GopXYJfMilOAxXpNZ7XZFjeAnOS/ENEYbgvinCEDy5QhkIntUZ4Re49p3I6VHySmAbFydLS5RwcbK0ZAkX52rKZstAErYU7KCWJskLOZvLdqPmOZgvIha+VGmdxcKXKh26mlxBUp4gbVqqb6wpBMc+a+oSrhY25iyBS02vue8nsTPbXjFn0X45kYRklVpgS9gFb4Qlq9Tp80nwwjSJ02GPoYwPsLMjvGqmFGXlm+9B8eI8muovDuepVQIvLv8+T5KpbFUdgp4nI+covI4mVUlkicgoV11wntoZC8Ftl4dX1OyuCUmu8pKaU6rkqI5AZzpu49t1Ecmb1Oc6a+9MF6JnV9AE5S5OL54kFDvvnI07ronUdONVyN3ccTpnByapPpF9pfQFuL1pU3dwSH5h8NHf2y2RCC7kic5nzkFEvVdlSA3reV75ATNjwetq9hApEq9jFFk3htl0Uga1d3v0Mjp7Eh5NF7LbQnLv87SOY9hI3JT1HeltjeVMK9tNMEB3Qpn8kWL7crMxocyoPqMskZK+G8VGyvrX2Vc8Z0zZv26BBBUinylERrfBhJNB8h6FjPCnxR44NCLZSEPfg2gjTX0PTKQagq6lF5W1/3p3c/9899sR48PDt7svT/efn49//+H2w93D8b/97bfbh4fD87enD4+Hp8dvnz/dfnj89nz4azr+mX/fPX39wUre0jx+Vi0llFxfPMT7z5/ufn/V1R32KMunu68fn+6//Pjxm//55e/vDunwfP9wd/j19su7Q4zl9+M/x385PD8e2uHj7dPXf37+y93LGbj7dPjwn8Mvj8fv/PX2091RgPuPj5+/3vz5H/+9eT0jxx84Ozk3uyDx5TO/L9/93Y+/8fOMI1xT/ePM2XQ/8LXt5J4GEpvzau+5lqyIn2fqfKWn7RWE0Gg38etMwbCSv4IAhqUhLph5/UxxwYgzzQtiXj/WnuAZxd4E0oAYk/hqC7o7I3x1byevljGi8KKX1+9HQ/lUBSGUwbGJhxvw4cQu1huQvhQ6tKee6GtiRJm9CN8N6ilhEwMiJVfnf6Omn6Q9FryWK0c0U0fMfcTMGDu5fflRQkt6c5KqXqgRThvXU09haEzoSkhNvL1Ij2hycUBEQi4p5j5eZSYzsnCM9ppQIaAZu6qvLS6RPCtknGg87VmxeWtwWVDmX4wfwF9rjWIlpASeFn+ELL67vW496SrQ6lFeUzwIWbZjBHR43mQQsvTIVk+Bc2QdJyX4bsfFlAZtLk87PfNEmPRKYlk3oVMoWRxfbays+bDjYguL6EHaw96CkJvnGT2SmgXNpL3m8RDycDlPBHl6XncIMp/J89qMfcEZZNm1yrsTBFGTaixBKMEJVxo/YpxupfEzUNU2dEISxKfuNHv7TdDuIUNByC7OS4TMX8teczDkAadphV25mtDWaRAH8by6zwg5eR4lEXL2lLkh5OLyHVJAxT9Nitu2TI6BbsVtrbkcFSp7F32KFJEDxLlXXi+OBDgbGkyV9LgW1nKAuotYLIHX8B49bJYIOYmDSBBoFp9qE2nTEctDXkOvBJJGvXpCL4TcPGVxCJln85uwxkNMmyNRp+imEVDOu9Ls7TKfM3iipJigljbwkTx9oQ3m92dPTITkLeKcCAQK38HHKT1tEB6by4BfxtKrGoBGtcELsV5XgNjIMTwRYQI5tDE9ESFBFkfzvEaECBnWYe2eSEUHYkpFWO30ypIK8nOmmjtJbErgLJ4EeAIJS5FgpVeO3MS5awgUt+uMYeqzCYqtWnq91kH5Lq9PeS1QJKCRD+k5RXGEwScGXxwHsrUx+AI5BJ1FCuBEGJ5icL0OJJBOjHw+z8lHR6jYyL1OrE2NoPJhqkFAxc2pr41UZDhPDFPso0iDvZrzOpGT/wDqNyOnTclBQMWO5Cn2IUnUKE7nOUU/IJcYo+tJIIFEWoxVnL7GULmmFXPjbFTZqCFUrGlz2zITh+ckf+CQqXAxqfX7ORBUrlhJQE1iuXUmWdmYsPl69boyyK3EVMTxgGRmXUxVNDEMFbuIrwPG7fmQUawPee3RIyM8YxpiGx1DnaIBIBMcY+bl+0VAxTo1bFnNrefFIqMIqFilxnYGTBzNMM16Fax6GsjJbOvIp+68dlcx1K7eooWg8tL/JqBy7sphoprnqAT1EkWoURy+bY9LjyLjyKt5X4FlD/FKBu1EsbgaNhl0FR9KGWpTL1ASs3OKkdMFSgKpMsSXmdzt/deSgydDbIOJFCKzXwVzMWtlEi9WF68Wg1YftxiqmnTPtjMv8oKMeRWsuazkAqx7OFwKiTXEeo1XA8ygp4fkEkGLVRtjgzbBosdkrMBE+zOvgrnsTyFedqOTgE8P+SWRnofYqhgRl4xaVFycyGwlNOV6tRjF9mfb8FiMFdj0WIwFWHcRPRbiE4slFq8Wg0Enz51cbHdOZOCY9SqYyH0T4lU0+MYbT703pSF15IQbry5CIV6bML4mCKhDvZIYcVPsNANetcXldRQn24Z6HMXpNWPDNsFc8dAKDPtvJ7tG+i8HNEUxhPXGmy2Yo4rDBQpqwhxcqV7lJU8UfDRNHAIqziycLgDbBR2uUGgBxgfQnGwaGK8bJx+zFrIAy4cavjZq284cp9iIP3I8leTfp1RXG0+1FTXAztgqHp/Vx0sltCksxbS3CBf0vTqdbGmH6MpW0sM8pRatdKIprJGsRKJjZTZTBw9CEqsgxrXTkMS6h1mvgnG9CsncfbP5NUCrtGkUbIYO4oz5Sjq3QxMnejFUrFav41wrqZNNATM/vRo6JuxUbyozTkox+G4quP28vCHlq2K6/LoVGB/C9BrG1IyoCrBnd6olrAlVKiZewvC9rohLzBUpdAWXO3c/UEkXPR/0kgRQ/vzKQXlFQxVAccX5EEClGti4nVtGAppSFkOHWoDVT5oT2NZCmxe2xoqxw1/U73YT3ekaFuQQpa7et2aCJolkGK9xywps0nsxL9fSrIVOnATje2WkoRX2/ZWFifGTa1vGDcPxdbQwFJf7hFG4cHPh4iZFXB5lReHWzZDmcFOpC2YFG7aLOcXagKJmbMxecwtHVBOH6lbcdKuxa5AXPrwKCMo8U4miDQelmIlzX2RBUmy6iiBpER0DJGkVHQMkaaN39ulYXZRRm5xQItnF6xtfNRNriU9WOVk7QMCQCnYJZ7wmXZVCq7np57T5Y1LFunPKIAwbR/L5Zl9usM36VbMPfqLbuGq+X4hLeNOhqFV2KEjlfKpNdiiI6tcuG34EO2TDz1ZhyoafiNuClmNqoHg6tahNcWWgiVrr12PbLvKgNm4WE2JM2uIplml23rJV8VZd4TTXrdoC0v/GO53qVSm5e9fMDbEVqGEC3NcXyRZM8boQNwVTPlMRe1QTa+yzOfXEKU0FcTN1cpp2jLprUlCz05Ui58RrvckKDPp140SW1y4yvfZSSrOAxonw5qWr2pZziP0gDSXj+/TdHnkhJp89Mq9uy5DIAWfTNmfgAGlePYm8IOLV22iLVcNh0Kt70Qrhb+VJ8n5VuuapVV+BdTHOb4SzPPE6h9O5W4jHY51himeeN17wcCpNaOQYUyKILdXROkrJTm5eTrjmYk7XeMgVWPGUE6/Aqthu0jrZD9mWXHKZmriQImymJa4tL1eaV6esEVSYgdsiXbYKmc8iOV3aDdwcWaxsOMULZooji5UNJz9nAZZdfs4CrHgKOBpowMiBRzI/UoNtENQmZnfaQNvdXXW7bCGGJ5fXo71h02N1F2AxeOrnV2DRUzHfQWNH5jwNr94BQ83i/dkjupFEjobZBZGrp+WnZ3vDmscOr8C6xw6vwIan1rlnsoLTUyGDoFPwNPkwaFdjX6/20AFXK98KTG3e62T0VFKb9zopV8zJ1cvXK9khV2cfg3a9BfVu79dw2Y8FmEq+3EHlf85B7NPtpIEi5+ipVe/Aw885uW58BO0Klrrt7eUitqb0Sfarij3gHZDx5NzEHvBO3Ec+uWPYK7A4W8NlVYj3mKfn6rcHN+YSRG6WEcEBKCqH0Ahk4kwS2S8YahbZLwZoCshFpRBiqFXkZvl5t+zDWlymahD/tHSxOWJkcr6GyP0zEjkJU7y2EGoNIvPVIJXCuUaR+WqA6vhck3jHDkB/lPlojlEE1CLGgIO0kOdaRXbFQfxXXsfwytU2CjlbKssQQx0iCeKo6MRODwniIBPDRJ6Hbm+cPTIsiiSIDDWp5gE8H+SWRYY5hgq7M+apom1UklXOnAJi2kfB1t+m0pWPRk5YVy0OQh0iFfEg7LtZJIR4pSIegCc39yCOZGSoWiTWbGh7MF/yMBEz6CwyETPUohpL8NiSexX5URlqE1m/Bwn0BNqIIaAOceLAmETX+vSMHBiglDiP4Jk5wKCjOMN3oCrlPOjg+bDEteWVamPrqQpwoNrYPMTRAPb5sKGrZ+oAg26esQMMuotzBxjqUN0TksARKjECR50qafkkuQZaiJFOD/8zIPXghRivOfdJRohnsS7jNRqYkUiMg7fXOIChYpeybutg4vBR90FZT2zYqv3RNiofKFUF1CmOEyWoJWgmrVUBOnpiQAadPIOgGHQW37UYahG9vQmyjyWohLGTZLJKaJ7RmhNMxCpiEcdrIMSgIQtZOdUKzEQ8qELHcGye2SWuKa/GV7H5ZzMTD6pEqQy35iV6N9GlxqtaRNk1K9fsQ2JDF09cy6CrJ65l0M0zCpNBd/Ell6EOz4jxidTGFd4h6ITrFEszURfz7PHb2wm2EGFxwrLYS2DLihOWJ38NoRbVzUKoVZwGylCbJ/Rk0N0TejLo4Qk9GfT0DAZH0Dm4whmQwCxiKckppkHQSXUIOnI0OPdFefURG5G2+NyMhpyYzHUwn2Q2caReyFqXK5tN9O5zVzphqiliZcnrEOHZiYLg6q1TYEYmI5biep1DEpfoiswQdHLFDiD7WgSKjGGi2pZfIMmwhbVR8cvBKRcyyBLwDEsRZO3iNMs50QEeLl8bSeyaKxwDyIaVGsTbMoYALiBeebLBmlm2Un1h3XduChA18ikiryHdxaqah6EWcT7xdz5qYDaq66ngQmjzmFXMV1hOsCQJUmHDWR3bWmTSMVEqzK60uAEnUnRQqmriLhbCviIafi94HWt/FBiIy6tPtjNMVqElWYXNeu/SYMfMlvH5zggAlLdhCrW6AdsScpdxbkBgBZu8MZ3AdjGXH8O0P5s/CszrQFOVKNq3fQ+qRCugqO5oJNntnuQPzbZ8WT26xyvFBIKWpm6WJi7oFgov/9jWbPFxTV78i3vuX+9u7p/vfjtCfHj4dvfl6f7z8/GvP9x+uHs4/re//Xb78HB4/vb04fHw9Pjt86fbD4/fng//k45/5t93T19/RLQtzTJnPcYWx6DwRWHvP3+6+/3Vsu6wR1E+3X39+HT/5ceP3/z1l7+/O5TD8/3D3eHrl9uP959/fXeIsf1+/Ofwfx8fn7//veN/Ojw/Htrh4+3T139+/svdy9LffTp8+M/hl8fjR/96++nuKM79x8fPX2/+/I//3rxuzfHnzjbsZhcrvnz097W8v/vxN37me6f78z699vC9j8Mmm+BIr4xZKyR4tx9xTgfwBQkFsRR5I4k9IgfiOeDb/nwdE6grbJ4NMi+wzkXcNyi9vajDs/GmhNPxrXaDUQyejwVRSIyOr13IiJ2h9+m1le4IhUb0ZI4cVsjm12MFCmVToI5ybNGjQb2h4WyOs9ABJyx/VDpfZjIwZHDg12aAI3Am0z2UyPfl2O27mBAVSMAHpF2BNllforDaebEoNr+xlnF7n9ImOSFZyx41J/1TGq36i9rsSx4YeafngINGvSRYtVC2YwI4pbS3p/dxzoXYNmOVelBO6I3QYk6qO2m/XBuiSc2COUxpIXO0aQwEm62sBqdeP1cb0syYBYm7InERJC4LYLsxSlDDuNo9u2MDHrmjnlw5cmZJtqyJVVkSVRPzySI00gsxVT3vAnoJ2rWd0r70iDerCDr5OgDzCA2qk0sSDc7ZoWmoJiqLPzD+uDTmS4fbSEKZq3hYNh+zkWf45vB6GunWKrKCdkXuoaJHBV1V0LzJDna0BhU9KugRm/ndRW6VmPkq2MxUFjKbZr4KRnN3IEBCuxYBWFrm6nFMCHBzOCaI6o93VZ8jE5GHI7GCgKewFmkBbCl4U1UwVAU9eqMEhJ5U9KygZxF9dAW9cHNTNnUkL5VNNZO5LuCtg9iaOzIj6IJi7vcq6HFvw+9QoXxMUxM+7coPWEvTZUXti4W3jqPYn30e/hD05A5RCLqsqFNB54oaR1aAhWAzbxIT9v7e3DEbSLP1jt2qs6AhEreqK+nYrsjMMz5JlHkoGZ+gbOMQ8rBxeUAs/2ckj/8D1nlkj/9DgAXvNSqneSivIavts9R7qEoYsoLujykJuj+mJOhTuFGrADzpm0js84qWm9A4liz7S87lXDBLzaegjGXzeUD+dQrvIVvYjsZViQz8Z3E7mVo1q/eVCKE3b8BDpgNO97MIQh/egAehK3rZBeAYcGXYS23A4ojbyEIG9rUb7kUv31aeGBS1TBKyopfb4SONGDEUb3RWQT49hup4OKuopyYGIf+asiR198Y2tZMjOLzBDYNXtHIqyFHRytUJt5G5VsZXzlWKLJTylG01gBWOMTvMcG0EWfBdS5CQlRAyL1bDvkli877MkYnUMbr910pKnIS6nt13ZchTUJrVMTGRk8dIMmQeSMZe99UwsRQF3PYMDDyIKXsMbiHIggLmISErChgXq2ErYGrCEc4LaPs4dOGgtcVy2MjDY1EQsmAF+9mxM2s21Uxq3XYOtI/FLKRtSpWQk8eQJIIs6F5uEnIRjsRYIJtHgs8gOL+JEbKgen3uO2hiqYau5zcA1YKczQ0qk+zXFE5vVpBL8NzCgSALQWAuEjLXuDjDAtk8Y3wowfkljJCVB4u476CJVdXTW98AVN3Kup2xTvZLDfU2F4XBD8ejLUOejgu4kGxDDY4LuJBYrEbHy1gx20xjVV8Ie38DUH0U7PENwOL1GgoJP6ua9NxcBwbfHI+NDLk7svnFDi6qmkrp8w3A6bW+C0C5XKZun0xiILVe5sy4I3i1/2K38AhefoiPO7wJWPCDzl5OUVCTS2x+07YQVjRtsc03ALvbVpJoog23rUTwauXobjAJvFoOc2aBbL+6R0eEWSJpXkv4FO/FByWgU9z9Zm6xDLKZO61FJkFAxy8IdS8Pz4NUYEW57GWz0Ez07rXQDH7QUzLClZWxT8n02tVsu/EDv7S3oQo71JrR1t8QVkhZbuY6o/bfkb32OpOoYBSvvWbw1REpZtK9PJrDcOfGzoeQvuxlO3sgoBkD1wLtjuIR2cTS6kG/94ku18GUdgbhWG/HjkxYilNIYW5OB4ROXq8jk2hkCmmVfia5iSWkLnvaNo9sHS86273E3GwphWRlq4u1NJV44kLPtvstOf8J7ZPQKFFPWYlMnmTmdHsBIMZJIbi9AATv8UIz6r0PSbjd+r7kJlYWb7d65YBU8xeKR5Ftvpyfy1aUuxjV5qfQxF+IV9bD7OMPitULC4UxW+2D8Gi3X0aLlcZ11m2vwMyMIiEK9q5tJ4LwRkTB3LUoIScc7pz5yajuPCncM3uQhqQubq8WhO4pCg93/UxwE6v5L6KAFC92z0W0kFZxMNNiTe3bXalLafO6mHxuwfvvWSRTTPOuUSpRWpcWIGkt898bfZcKZ5okgV8mLq+JhfA40Vn7lQNsiy30524nIxEalSQ06G7nhCELfYDbOWHIQ5C5ScjCE97miCNkhVSmJQk5elPMCeS0klCwst/0yczipOyJ7FZYxe2upYmsRhZdztblX2jCJb06FPZtlAWTV6UbIwu+ZpX0OvMG+VibtBxC4UqskmKXyBV7y4Mk8OqfikvzzJfvxIcZnLkWP0u54FUTmJy2OD01sgCC1duXttoL0Bx5wdTQAnSPcc7kbA2PcQb1o0mpVdmNM5FZqFU5M6EIOXpMKFmNKlI11T3h/dJrbB64mgW12NBAdixVkaSpJiCtoGq7EtsJhNo8arvA6o6E18+raKutXqgSF2fK3qXpse2krDy14LHtRMVaFCzw0IROHrcBCZ09bgMTunjcBiQ0fkRvZ5fNRZAbzbRSa440WyLBf+vi3bOnxFKAwg9HTowJLxAw7QcFBf9dsHr7QbFTN12wczUpC9CT55ZfSCmyD5bxx2NsYhaP5VjI564NSyQB2psjC5YIZUjC5Czn+S9Du0zKaYGeJS6vhoXc05FbY9C8VqWWa7elDR4duhvtrMRQPcn8px0Ripvd7t8LA6gtdnFcDKslqO6LIQ5mIkZzNDDGSTiru7fKKpJkmkzKsoWiDH7imyNeW3TTX3bVqkQ7HTEVlSuboGADp8fEraTMjtTOz1KaiT+VfGWPbSIoCktTKArrUUJuwhNVWyyJjdwdNTBM5uGIxGMj2zj9t/0FR63NOR4UxzIthDdJwYOHDskQ2+QzD8nRghhN45SDuyUhgjKmHIrXUWTwgi5u2UGG3Lxl3vbYsBy6o7A7ZngihiNNHMvbWpiDkMusYYFsqkh0F4otVjhyncvyCsfk9l1AQivH7PZdEHxxlKNfLs00sau3HJ2J7m6ItYcn5sgV8cyPi/CYDI/zvBDU3SC0AEzulqAIovacotvvQvDJm1Jm8NnbuGiPDc3JXSS2AqwOnyJMdnBT83ZSrKTtXsciTLJdw+tYMPjp7VVE8H6GFXsKcZbrVDZjugJMjn7oAFpfcs6OfuhAuo1yLl4jTUYT51y9RprBuy1dsH377CZ7WAF66B1CJYdiOqgSAkmt5BK8ZokMEs8les0Sg09uK2J7ySU7gsefJ8Cbe1iKg6IjkFChVAdFRyhkeZujw+/n1Vicu+62UMQvVscanZkQ2zss00HLFUB/d64eYqOQyDg6D7ERQ/YQGwVA+JWrh9iIIRcHLVcgfPi5+k0fcb6r481hTnL0uoMRLgRyQIbntkPIU+dMnGzGYtApEyeZN9mi54ImIzKVypaNxI4hZ72T8GKZTWWRRhe96uEkrnOrOgPoBA87uTX9hmbAXSfgnR2d5eHk352dyD2d9LuTDPXsQWffZcBRty0TPCDlnnTiUgacderdiYJBqd7l9eaY5G2nV92mMOCm895P9NAlU7OcaO9nJXLLqpgV9KnPHJ6k2CPzwpd95vAsqBQoyyQtc7Gh5n4KjC0b5z0Dzrq5naDdII+ik3cz4KoPuJgk6BzNYWwRcNfHzkzCYJDHcI6dmZnIPZ1jZxD6VFOip4leDN07Z3NmMqTbO2eToWd97AwDLg6jTrIqs+rsRjOjSqmsFMmcRmcwofG7YNnKIGdghSYKm8vmi5A0xZx6mn6Sousi87hs7jsoli4her13hK4mTU/znBm6ULkWi7TmyhC/hcg2sGAkw1SABSMZugIsGMnTALIJUk1FKZUJRZEYU7uEeOX+sLzJEpWAcbHMpg9ccNHM0UGVpU7OKYlovaPjHZEBe1xVkJ8tyjSi0/PZIIm9IhfJnMLHAeq2S/RGjwzdGz0ydNVpPY1zRegpaDWqYSvMGKwhoaQo/kJZ/8I0f8A7enqAxHBJ3tHTDN0xepoByyPiT6emk1PTnGEaQ+/OMI2hD2eYxtCFJsKYbGD7hsxB94AGSLmWHHUPiAELzRahKsDCLKPTzGUGLJBVhKAAK+7rCRhkn0vGNLxzv7kb837kwUZTWmu1/m1IZ286g78BMrpFrcjZgj+GLpAVnuI+BqxGlacB7gxd7DwMW6H2qMyVULhktpsKpGBLqW4fhYrexF/YYpVRCFlUUWhmQlLWZoiSx7XkZkKsFO9T5QAPAqUGZwzH0KM3sgBJ31KTPo15JNQlW2rWpzEzoQUtjcEGtl0ghYZm0/9MdrE5PBUErGhlOakN0MqqJIGSIvHUnxSNI2c6FC14IzUiuTxZaQsbSM60CeXkWwRu1imW5jeUjLOgKPU7odurYANXhwVOxAjIs5VO71uDZMSUKp6TS9VJ/qQJ7yLpdNkFAoyTsXFz7DtrlSldTfq09S+YKRlh0tIWoP283PbJ7g417GaDSPmZoubKCm83XWd92aUXh5jVFlNQuZO/3psNJbD5nlIInfiIvev3Ta8EWFCv7eOz/fFTz58soEZwbEmyoaLjA22zMpLjAxdQWDX2fHCP6GoYBWvdduu0BTFNGR7dCDZU0zeiTRuqO9QMFPyWMfQdfpHxX+9u7p/vfjv+tQ8P3+6+PN1/fj7+lYfbD3cPx//2t99uHx4Oz9+ePjwenh6/ff50++Hx2/Phr+X4Z/599/T1B+94S7PMWUsJJdeXO+H+86e731/N7Q57/PlPd18/Pt1/+SHNzf/88vd3h3J4vn+4O/x6++XdIcb2+/Gf478cnh8P7fDx9unrPz//5e7lINx9Onz4z+GXx+Oa/Xr76e4owP3Hx89fb/78j//evB6U4w+cHZ+bXZD48pnfV+z+7sff+HluDF68Ux6rTJt2Ep7guUXCZaIRIDytecqFLSTkEdj+qcRLq44lNG8Yboj2L01vL2B3LKAp33AsYAALOPUFHPbIu6B/6gKJ+2qncKwMNDqP6snYcl3FSE1Xc4Y9lnmsZDYHYhXHWqChaFU/UIPQS0eHJo1GRprylZgnXBClRzoDc54divQnNniOQqcdGjGEJF68cmqxLCijJRNOhO1wkCk/eCrtnrMtAzJFcls1x7aPhNXdoYERETpLMe9o+4ow5pTUHHcSaD5VX8N7X4DbjIbqATyhdzL9QOiJPzU+IGBhXMqpWa+g/ELm5Lr7JgabPoQb6Kp8uuAkZgWX+4ynkrFCMmQq5UTPCriaNIzbKUPNaKpyVAV96BYW4YqvaZu/QcCLljkcW+LsiA5LLr3X9PcfMEtyNMTdOeiNJfsEjUwn6EEe1KH57uPaKtuPf6JSrg62nbrWwNtUwFWdjJvo5DlXNodTQZ9eb4+gq+/csyvg3C7OsMA1Da7AUjEkgbNuyDuIi2pxmHUib3WYdYLL05pb6IJwhVRLWKyvpd/Cu3YfC3lNXFH3ehTA1XftVhVwYaBm3K4jMr+kqYXTMS/grRPSsju0IOgqUdoeXxB00T5uoSgCb24XJ6Pnf3EKy1n6rTMu2TbcLhX8gulwfRLy1oRRLPsFA5qiO21D6uWayJa31pM3hALlWl1U09YVcJ7NaVHBFViz4yYwaSfr/ogSZOS6P6Ik6KL3uoeVBJw3NsykrPgQXjIUgYWX9dEVXE9ih+AKbxp5gWt5rENI7Kw2ztLBwXWwr9bBvKGHO34kUvN3jZYVXPqu0cJ+/bPe+yHMfU/bDoJ6AmFkyx5GN5JGlckqtji6gVSlTFaxxdEIPTvjaAROczpnPlMb6JhM8YEj7z/AOjln052yxkY2Te8bRwNJ4jmcoR8C508crQq4UZjsUsdC6W1ggWEtlW0f375OYhAo1k61sBBZ6JTfgtTWwaGO8nyXLUxtIF8eQ/XGqQyePzr2uVoXG7k7g47WySHkjx+tS8DcWLbVETSBhYKb03BQCCzkd9K2FqB4NuICnLh3D5VWWbFFzA6vpDUitsBeEYeErISNcbHU9jWi8lfskV0D2daoElj0Fbp9BAVtnBKwoI2rM2ICJ4d1ZMBcG2vel8KEEigO07ZfgDk9puwxtIUgK7rXJGRB9/ZogKSxo1B5s/t2mRwG/sjRymIxbODhsFIImLuj9ezImSWWarNe2nYNdJLFrJi9LCEnj/1IBFnQu1gkZK53rS2AzQMhEE/sNzAC5kpX+759JpRo3Gp8A099xd/cqjrJXglVbadeQoZcguf2DQRZCPpikpC5trWxADYPmFBWs1++CJg/SpwGFb9snwklRneby7DCU73IvJ2vTvZKfX7Y3BIGPxwv1Qx5Oi7eSjILwmSX7eKtJKyrUX/6qmajaqxivrPWN/DEDGeZb+AVr6dQSRgrT27Z3AUG3xxviQzZ8dZQ7Viiiiat9jfwptPkLvBkZoe8fTAJeFRqhzOLjuDVB4XdrCN4Ud92q2N75mrtS81v4IkKVvobeH4rRvz71nFaay+dqag7ObbhiNlrRI1aavXnbiLJqnS1Bu1szU286DU6C7zkNToLPLW87EQYWwpxxXvxGh0GX533ebEdR7VsZbvPV3iip1jqG3j0efx4F2w6WzrSWaEyZfc8CnEO+XiVs5vmUmr7PhjKO9yQxOZ5/6QutlClslvJgtqFR3GayWK7pcMbnK3wuKO4WchCmo4HNWilXjtlZqP0EAxa3qRmB1jQu83dK+SdZgp5kBwkZEXp5r4cJpY3LFvhcdUqc7FT5vmaPOFRsgQsTLXdT4DtNE6tKvq477suZNgf3gVxT0mwQh43hOkoZ8dqsRBTW4jUryyE2VAcgmAwq7AOKUSH+1xAzXwKLpvGDkYKWVzyvXaqJLbkxevv2Qw0alnJ7u8t8Hib0Gm6z8WJMPvLAw7WyplCQw4CoYoklm0FCHNCEHL8e2BBkKOgfLkskM130BSj5zo2w6sUkyBmkBYge+7KhZTFf1fCMxYFG5fqG+I2r0e6wOMJxrI6pAteEhqvlbOrMKI61RS5bi2V1kYWeFry1JAF1dqc/0woMpKgaKfpjxBZULTteDBkoUpk8ygZchVWI0jIqn+5x1p5sqsidfEn4rWfMK/45HE0s5mTScnvaF6Ka3o9wsiS/e5cSJujM3+4wqMOZdn9ycyq2VPmzefLQ2zfQ0KdSJauocwVLzdNZO5aZukWypxmc3OkoMhcy7J0vWVPyiQPoGoiMcsf7p4LmpNu/kL0KLOZSkuFG726K58NRalq85ked3bbYgaWWM7uxoupF+ZRKNWRtc6NHAWucPviVntxuYptEWZuNpTWM172HqJcGf+aUiSy+2gk+VCDx0cDFaapRo+PhmRW/MoiyZw93h+SuXi8PyQznueczzT5In1knrvqfu7OdjKmdkd+LhdwNdThuBoWQmreYz27fZNN1JWaUNT/xhK26L5tErq+G1ev/a4ptqxa9nGf3W3IarqjrTjcUVJ5n1p1uKPkJmgepxEBe5xGthYepxGJPB1ZzkzIP7vQAL4lTBgyHsqc95fzfJGSs7GTIzfLpM7eMrNsJ+h6cdy3C6jqvm8juiV6c9y+C1kFtzEsNshWMmEeSHlrb3gstvt0JME9gp6VZV8/qFblqe7+SHrqFAqdvdXByc7cDHdp1gqQOod19w3TRSrI/ngt61j3yzDNhZckMJjUHQzt1PBeMWmshJ36pbLYpallOMpU90qoDdnulpWsyVF1k+xcyRTCrS01l0CLQhLqQvaYZSVl9baWrACbniL6+avt136hDKS+9dWCORoLIe2zOPWSnQQ6aXLAJY15jzNSIRnCrFR/bC5wMi+OHJLXFVsBZm+N/wrQ0UaWKtkijzm6HLVrQlMKn5qvQNtS4yLGIUstZC1O7mRqROapB/GJTGXJMXir05OZ0Mgxur2oBWBye1ELwOwscUqghyYLpCA1bceLAFc9xf0z8OIMNGcNPVuQ7s06pmjv33Bb8AWgu+FlAZi8LS4JNNBkhfmjSsDJcekGdDMmbycnE7x4m/ritDeweo36CrB5jfoKsDt7EOIkCzqc9V8MfTrb+BC6nw4kmr5zztFrgFaAydHIG0GDRs5Zb+SNpOclZ29dcCTOfvZWCTN097tXtD3q7KYnWAF6CAkiGdQpcIC0uAC2T0QJzq6SSLz04q2iYujuoC3aPmXxdJvFDDawFAejRAQV77lUnVEiEk+1ND3g/HktFmeue+0S8VTloTq75bD9wDId1FERUGXn6iHgiYlMQfMQ8DBkBwFPBJxUuToIeBhw0amjIumxz9Vt8Ig/rDCFbKYpTHLuuoOyLAZyOobnnkPI00HoF0j9ZW5BJ/QLZMZhi467GbBg5ZZ0mjUGnPWo9GKRTV1pxcE7G4i73KqDnjIMMu6xOe5nhtwd1LCho9M8vNSwoRPJp5MaNqARmEGnhmXAUbcuATyd5J50bk0GTCuN6946EhpKngtzcjbfK6AAs1cHTXMATLm5N4fNYsjdwfYeSO9Z7u55x6ESyT0DjxHyEMPCje09VDKKNjrJ3hl60sneGXDWrW4gD0Oj6PTSDLg6hi8EEnaO5jG6CLk7xsSETNRxuOethkwkdw9cRfATv6WHvdsmoKLyPLUC5rkXDgVUwJwnfZWY/Yrs9rqIrxJjteq24MU5K4ahV+ewGIbe9GkxDLg7nB6SdBIqXLaxFwzYM9UqgIRI4SUuca8RC5Ec7aKUuGxvDIG0mBe54mUPQyKRXEil7gEIQubtBXNoS8JnBsyzxTahuHmcq6+3ZeSaN7MEzDVvRgmYV72MoQCrRS9DElutgOnSNqrlMHuwi9AdD4gM2OOoghxtkUblvK7F8U4nWi2PyjnFeBf45nUkF8acQjwIj5ksw5YGOCITp6/EqTuUBrYpd9LKp3ev7+gCEIeyJNFjLVd+oJs/kLQfyPIXqH5rXRwcG734IniIXn0RPERvviHREL3Lj+kQWA0v47ajnajUdEavDF5hTwlpO+oEOfIG4x2ZJLuLMHxnrlbDBua5ntkl4CJ7hhC4yp4hBOatETNIwN0XuEP04QvcIfr0Be4MXa3KadJJUatyttAvT2L65bKcUCX47PFaCvKIlDKdsJ31RqSubn+oIoerCFpad8lNqO72fAoh6ioiOcsMV34gmz8gaufoixNo6k/lj5RjpTlmS2SpzqATyu0MOiF6dgdCIPtdFLKWXTXJs0CpguUc20EkMjeHE5HJWneHE4GAB79FkgQ85cnRl7tn6ow6C2gPRYjc8iigsMGTZKbA67JvZAJXrFDIswPbucxW3OYgoEi78eTPqIvVtY8G7T/sY5cZERiU1r3eJcmzCXOBtrBmkHRSoymfsTsgY5DmoNLpO8jYUzFjknqVIhTvjO1WCgQ46ZZ8EHKD0rN+pkcnIlOSwLOM16hID3vV74xhtkKULnijpwtz2N6owO6yuXGjkZUcji1Cx3XqkfgwOxLK4EmZ/eMXUNEhlW0RRnJsCXkGECpsduCFjMVxAoMN5cis9GlDUYs0dovUF2wnZXg0g1yLY+jb8PLB/3p3c/9899vxr314+Hb35en+8/Pxrzzcfrh7OP63v/12+/BweP729OHx8PT47fOn2w+P354P/1OOf+bfd09ff4TlLc0yZy0llFxf1Pj+86e731/j9R32+POf7r5+fLr/8kOam7/+8vd3h3Z4vn+4O/x6++XdIcbx+0sl4CEenh+P/8/H26ev//z8l7uXJb/7dPjwn8Mvj8c1+/X2091RgPuPj5+/3vz5H/+9ed2S4w+cbdTNLkh8+czvK3Z/9+Nv/DxShddGnF4k7VuU5za3Kk0bCFeS7nVDlybDdDMhcNu5e0Yi3gTvkt/XkHTJN8femNepQDmWFwJaCzocW27KNx0fak8+DI4vBRGKMD1kx7UlTPprdyc9C8Iz+tbZ00H/TSw6d0kfJAsYHXrTBxonqp+CDojEhZEi+xKjIXd6DXAHWa6o0dC2nWKhI/KZRIOoGq4gm4TqUR8n2NGAleQsYeyEjdRRydJJE2rSkhptt4ydMfZWx8EGncSp6RRgnUzOUiewrlbbBB/OWqpOCDBpSqOfqQxK8mRu+rZW105IKrPgIipLkXlctmsLaaEVGh+yIm/RvRSEK5AsrTbObn7TqVZ7RI1C+vyryzNsVvaLqrexraL1mM4uoUbKaZx5fQauVY+13RFrLGWZ9M7fTkJzjby9lT/Kbb6Vaoh7s2FjZW7Va2ghvnfIXSP58q47TQ1VpYpquRGtI6lFtcxVAK/B2W3TQGmK/P7dFXDagtT3bEXrxFGofABXDwuJTUehFp1so4HmYuHFu0lL3HTHBuF23bFpJK4V+CqadJAd+ReCq8wsmQouL9Hc+q4aqCptyUkAhcCzM2ZB4GL9dO4KuFg+naMCzr3UsQlNypPUN++t4aYBO968MSIC5+q4X9DgDbEHt/OE0kFddFPTFXxrXXpyEhg1kIxUx5uUqoAXZ1yDwFX1zAo4V8/UFdwuP2eXRiqsVBKLPcoDCb6OszdnoUwmTpkwF2UPHYHEeCrKedDIJE56u3Yjyc7B/dMtGkVHQyCuaNIaV4f7RHCbw30iuMKMh67g8nLMWha41l0xvNy9BHwGb2xLwKM3tiXgXAHTVHDpA3zKV64MExlXg50hB5LBmkLRy+YygVyywEmxpw5IUn12b+4AZJTncD5yIfDpDZJAjjaG4I2SEHr0hkkIXRgTFiVg/qKx8SK1RICF9r60KeTbahMD18eNRoEBN7kGtlRSAxtDd4Z0FWTwYxj6u1+dxA+LYeoshEhmlbKirFbEPHsqZUWeErqgi1kCFnSxLU62Dcx1MSUJWC+ULhUUd8fYdKNbBwHmDupoEvCQ+3oulsK+PdR5LlsQV0G+Myavk1pBBi4KxTa5SsD8XTGNxT7awA6DyIAF3t+zA2JCCWq3HQbg6kahqGazrbURYEHtigQsqF1fLIWtdonbvrxCNg+CwC+Rw2ItbOCo2w8GLISDcV8KE0rMhW78YhWMPIiZ69jG3cWAq8NsFALc5I4uCMw1Lq+A7cMwHDcvAuYKt02XqGbNd1RLZmJ/A090KHdnB3RnxiI0300JODtu3USAuUM5ggTM9SyvJDYPV2mOSxcB89eGdHYqTCiVNmm+gSc6jqcO2lLAYLKo1r9snghDj/rbLQNOjguXpA+EsS15BWy3MhT9nayYXXdRndOyWfMVnkopWN/A607voJCgsor6tbkIDH3qz44IWJjKsiXjix04qCQOm51d4SWnnV3hydQp2xaR8EYtZdnMOEMXlWuz5QxdVLV0JruJRyut0541LKjBJjavHVuJqvL95et4PXjtIgkVevTaRYSefIROEF3Uv3SGbuIVPXAsmXTL0VntcSfoLwmd3u62aYs16N5hCIX4+H04hiEUNOY49uk1x0RydbTKbo4ROq1OSeXKspgnZCSvFbX99IGJ/JIsqjpKOr4hanUM2smox3g0p3HOxO0f3WmcGfrQg8BMGqTH1K10RrTOcfKmvt1tM3lB4hSGbI4d6u3QZ2rU07FcWQT7BzzTGTKZABZnkamrKHJ1ehiZhBtTGGjUd2ATShiv2baNI9vGy8E2Z/AIbELxsG21S2Z7Mp+GEvbyyFxJRVIKgr6FU5osN4KcnBY/I7mz0+IzdE50tDmb2aTaSsIAlLSS0eYICE270eaVs1HNH+gO9bVZd4LGThvrFVltHZnu6x1V9acoULmv9MTs4xdIW/YLyF7lmPDYpLMFZtwLMTtmBWdCRxGF1+xtliNDxqFdODsPqK48RWGS9BaGMam713sFcXmKwptb3IFNqOm+gBJS6hQcF5AtaxLmJbTFei6oWpJDfxdCCjoWNSEFpue0QDZvryRysF9RM9MGJa5mVVsRmrSMV06tLbIyr33DJqwsSRi4t581gizQsuwz5hmyYN72Q42QkyBzkpCzwIs+JOTizBdnkKhKQmlJOltqE8oTui2gutv3i8hMCGUk51phQokmLaqyFoH/aLH19n1WuJ5JN4PAuiJpb8E6FrR1wPUkmrhVpr4tGbz1J6GaZNPZZD55p+KI11ZQwsyCDWqQz9V5nEsyU0KpBsfKLaCingRKhAsjVcFIbVnuRPIrVZ+mVZIdNwqUKPumLKCqngr++XMXK9kcblUiAZfAhLI7P4l4x3U4HDYm83S4VQi5BYfzg1ajacwLMexvVCnZTFupCeYpnK2DiaURgc0BxCsOJV1IVx1KuoBqenozESropNKZLBXVvPLakJ2nRFruk8BlImlpD7LzxHC5vUrSQvSkek9MXtnZg+IWnPA8u0suPPVoZvh6dWQ8UyS8sGLm/iw7mQIUvjvSk0z4oU8evUC2fXdhyMfZZW5HciPoI+3R9yszP/obMibnvOUfZ9iEzA4rsZCuOGvvEslVKOUfcXWKbGQ6D2Re0yqTSXxwreqazENOc0JgWPURr12PJvIMDmWNdrg5xcHj+87FCaVNXt8uLkbFpOkIwFbfX7wXQRzMHkxHn2cEneZpNmcFWwTVUEklIIldQqcFj/XaepuOsFALslcDRTM7kUPQJ+geBQVc08Fhy1ZCJj1BFsE0i6xWemwRSwQlSjkIj89VAq5yMRDDFdIgq7NgA3dHpio2soPDfbtfFH/YVO9hytNmL0Q3FSQGnQvKENpkkY9R79WM9iyqmJwdHRFUQ+WYnY4gQxc0MEvA1VstH7O9ys1RHx8zPA1dz7hHMP0qCwUfsy2Abd2YzhK8xfLiOT1jyqubvN1qEeSlcvL2rjF0R03/5bpME9pb088Er87H7hjtA4IDu74vRIQHpDv844WYw9lXtcKbzk6qGMkYmuB1rxB6dOaDGXry9ngGMw7LMqVIfQPPQSUZJjux2dsjupLV2xUaJtmq7vQhGPpwtnUydG/vWrBDpeLtVlvhRb1dPIDGg1wc3K2B9J3kkp32OJAYqRSnPWboXrMWbOddnbaz2Z8VXtf5LkIlx2Ho7BGhouMwnUYokEBApRfZjBBD9xL6BNsNrg4KnwAanbNQMLLRlQQSCAjlI3kFbC9t1XshAyFvzzLbyGqlbbm93CPB9gDr0LnIQiRHYuqsTiGRoX5BZ3ViwFFndQpkHKNQSJKDBJx1LrKfN88+xM1t5ohz3fQXgzxBI3JuTSfAC4Gcje644BCwzgx5sRR24rLpzJAXyPbwy+C4k0G9au5R5+xjwDoz5OUim3rSs0wtnCfxj3uROU7zJO8yvcr3MgRuMrXwxVIspq12H7XwBbwtt3O24wW6LfuUqYUZ8ND5WS/20VSWofOzQuAkUwtfHhBTC5XKlG0tyBuNMDBnNAm4yiz+eaL3KpWgpNcFvC23qIptSuhDHth8uSr22ZvyxOY8C6rcyeoAnbxaE3M/Z5R5/CGwzk1+cbbNtZ46NzkE1od1HP8OmYtdHcYWAevTc47LR9TcOz7nAt6W2zk/B6KLKZlWBfTiHaBzgW5POXcO0IHo+gAdCJwdRh3kUUrQh3ZA4CpzSuWZUQVVCfi17ww7oHqRIjCb7L5IIud6yKn4o/FAIk/fxMgLeFNudYjO7r0jdFEfW5fQeeVZC9KaC1N06kpkG5grZK0SMDeSNUvAwpTHKAHz14qyOtLm3RR5n0IZksTYTa3XLibLTS2JEzSX1TKbznVJlMQyT13q5BsgydZbYEVJUwIuDh8YpHyLMFTn9AJ3DH7IjZSab1z4Bbx5kybncDmIPpxhKUNX/dWsoGdtKHnd6v/yYA0KJWstEGVc+YVp/kByRsAD5JuLWjmTs4Suzy2AwGoRzSZ2J6emOeM/ht6d8R9DH874j6FPPoR5LIDtG7IE3bUaIJdbBIKVmiXgpLtWDJi7r5trxYC54SxdAubuazlZ5AHS2qXwjvcdGElMacTKmUlozK1Sh/hkba1Fg5mls6fW3Gzh6gA56KLW3GzhKkPnCZ4tUmXAopFsUULXmghr2g9kZT6KQO6y31QgaVyq1hBf9hBlFEK7VWp3e1d0bbQmp7PY8PIT7ISYUKxTmrL6zTm39eJYmjeBOigoVwk9eUMWkqZuWZ6HnUdCHbmlFXkgNhRa0NK2ALZ9K6FyZ3eBSOZbqNzZLxYEPBwuEAIWlHFzYElKvXPeitIUiXvUX1eNs2x6Kt0dWyLJszfQIeljYbDQnjMw6zRLr24LzEgXSm8OC5yIdREIY+pqfW2Rh/Opb5AcnlC6s/lqnWR8hNKdtulhIMBUD9uuh531BBWRUKaGK79gJpEGz8WW1XLbJ3s41LCb/TBl0FfJtjthnXWal9EcYlZbTN7xuwUCvdlQ/K1jM8yduIZj6rdCB10TRWCP2T/ebJgo05GYWUElx5YkGyo7PtA2K0JJzf6BCyiqGmcZ7B7R1TDpe33bzV5bcOuU6dGNYEMNfSPatKGmvhE2VA3BobEXZdT/endz/3z32xHkw8O3uy9P95+fjwAPtx/uHo7/7W+/3T48HJ6/PX14PDw9fvv86fbD47fnw1/b8c/8++7p6w8K+5bm8cNqKaHk+nIn3H/+dPf7q/HaYY/CfLr7+vHp/suPH7/5n1/+/u7QDs/3D3eHX2+/vDvEOH4//nP8l8Pz4/H/+Xj79PWfn/9y93IQ7j4dPvzn8Mvj8UN/vf10dxTg/uPj5683f/7Hf29eD8rxB86Oz80uSHz5zO/rd3/342/8PHhJpzybNqUTrTjZ6R0mGk8jdF7VqxI6iHqnedU56KwnYQBtji81BeQXwA4E6DCGYwHNq3Q6FpA44sKcof3D7QmLUW57KAPNV6R6Mvau9jGQBytMGTo9xV3IbE4/LI61QBP0HIo0CHN4bLoCjEHm3eqzBEkmLlIutbmTqcHMJy64mTsBymXadppjw+R2mIvFsKlMo5d7iGREUnIQEcFcTso6lRZJbCWPBmZEDC/FvGPnThyMPCg1x50EGrK91TaFZIHVYpt9shpJu6TpmN1LgIU5RGMscO3mkqibVSQwf7zfDwfB5SOIdtxk80FwCaWt4pavr7bK7rb1ZXsZuEpDszFeddJ1KytdVdCnbrkJrkxHkxXw6L2dv2ckzUo/DbH+EZGU4mk/sI/L7oMlEYtOjoBSyzS509u1NbFfK30FFwXl2ruvPYCBqzq5sb90UucyVY2fArpMXLN5kQg9OllKELhABxwWuKZ2Kiw2ksBFdxAQbtUdBITbdAehg/iwdt1dQPLyzEuXdITnZDc3pAOqBGEMUm8LeU3c6KuCZ+DJVwTPwJXptJvUxOLKRDYbf18HmYlWvaEQQm9eDkqE7p0FjcCH2zdjRXFNm6Z5li7sjEO7B7erxr4AF82cu1QFeYF81NLZBQNoKzquWUvXRLa8wF6coVkH9au9+hoOGLgwRnoquMKYpY1+q5PZVn24I1WQQezTHakC9BGcDJkInM8+OxFMsBUfQipHEtjjsRJcj8dKcD0eK8FtMp3OBa75pCc8FYYFrqXbAtFNX62DefOP6Y13gdSTP2m0qOBSS1j30Uk9IUsokNzEtKk0aMSdise6CU3SybO4436QWp3uyRUIvXnjfgJO+6HOfTHG2jFFd3V/+uqsunZOh7PH5jFGlfCmr45jM9HdQSVCT3LNIwQW+DXaQu9t4CLcKGXbyrdvlBiqgBwk5CZcVqdlbqS2NobujYAbSPHHMLwhMIOfMvvq5bqYyDLrzUpu8xAK9TdbLMOAhYbhsTiCNrCgj0UCFmY8bdTxDZDxx1jxcJw9fdE6qzsRSG92x6QNInYXxrcPCXkI10hcLLV9jUR30NhAIjcmJwfVBbp5BFOUG0UgMNfGE/3UxU7awA7ryICLXNT/shQmlDDFd6Pob6BBIKbmMLStEWRF95qEPBwTwxtxTaNQcdNWyOZhyEIjRloshg0cdSvFgLk7WvO+FCaUOtlwG3PTwByImBWzlyXk6rEfhSALeheLhMz1rq2A7QMxHDcwAha6n+q+fWb9sdpjP9/AUwtMd7cKNG1GYfJT3IbxMOTsuX0TQRaCvpgk5Cr3gl4AmwesNMfli4CFbt6zg2FCidFdjW/gqV7kiXimVDCsLco1M5tbwuCj4xGcISfPxUsyC0LJTFsBm6esFv1VrZr9cLGKKc/Nsq/wxCTnqVt5ide9nkIlYWxVUyibu8Dgp+OZEiE3x3NDtWMJtTJmM7krvOQ0uSs81VnM2x6RgEcugtksOoNX3xQ2s87gRX2rZ8KbeN1pdVZ4KgtFfQPPb8WIf98DTmvtbxEVDX2OPTpi9kpacaLKA3NmItGqiBpYz9BNvOI1Ogu86jU6Czy1tixv20Vc8d7dRgfBD+99bjuOas3Kfp/beMM5g2KJR1/Ij3fBprMF8a7EwcupzzwP4hyO7LhpLqW274OhvMMNSWye90/yYjdH8FtQ57Q6mmkzk8V2S4c3OFvhTXm408WXm13HM8jsY9YpM3vGhelLMW8Lirq7BUKY3d0r5J1G4IeJ28BRhqwo3dyXw8TyhmUrvCbzR13slH2+ujw4AQIPYZ+2r7edxv+/s2vZreuGgb8SdN0Ckki9/qG7rovCRrwI6sRFagfd9N9708BHJ7nU9cxsDWMuj0RRJEUOJ1cPfdn3dRYqZHFLSoS4ryklBx43SsqKWsU8K4nr4buEOjcWIuytTiY4uQ4UzZfkxFVcqRWW7jRUMRq55Cc77NiSd9Hf2ynJEP29HR5B2bk7GWGrfYaDNT8daJCOgagiycuyISQSmcjxH4EFhmzErekb5PAdtBCTk07mOAyvCsHdcrqCoQVoiq3cSNl1W4nqGHHHlfqGuFP1SGM8ZiKS7VQpJlHJNHW/u0GlqqUQMwInJ7XRE8NRZOJoLecMYQspxEF7JTUGkYmDtgIWCJmoElmKByEPYjUShcz6l4sbwTPIDpQU+xsmTAo58ui7tAlW0V2s6D+RIK/HTDH1mwVx3dRnTNqqWPqNtOoT2w4PHqWSbmxSWH5fDD9zNjZHLraahnuVRhkgxxvQlw8FiUxMMjLKsjmeLVmxJyYyfsqOhxZMZCVZYmHyrLhyuHZYjeaHvRyGGAo9V6d0g2FUOcWHkB8zgIai+FQWM8w6lZpo3t4tFN59esSjl+8NoWAWP1923q5i8VCtqwnvBdaAfakurGUckBPUKGstN1DEfK+6PjeE6oIbbEhUWIfgBhtC9keQoCw3GJKZoEHJr5PTMJlbFhxsTOYiONiYzPBjmZ2O7FXMGLNMulpRYHHkTMwBOllQgEO5CHOAtkJ2cWKFW4n54Yow82crHRdQefteurdVlSQwOf+AbT6/4+fqbApCKC568nLj80O3vBvvlhuUJ+zOu+WQcemVd54x4MY7z+BadN55xkQeQm7agM7gQoz1yUcCDUIecLLeToftKsyMsbOQUcekLmpxoMXBNkFKskz4BsplE54hKzEUP3EjK+Enjs0GxYdsdMHsboQc9LDaKyHD88pUdxj19XB5x9kvwnafqO6wzgld1JruEgft09SCuh2go6QrK5Nbrkho448nZ9Wt7umyIeYtRHFHPX04slOyl1jGTljBS9ztEukldnKvjCjq8HpTVktKrVTpMRbRsWLt+GSApZup3jhclp2UrjYE7QArn5oryMgPS03QyY2QnR4WfCVkrIuDL7QqHQGesGN2skVX6bAekv8nQp+OPQsNh2W583IHWNTOjB2g8c1/BbFDWbmOrqklQ2h+MF0AHUuNDqY7Rdeo1J2eAuylITIPPp/5I3BsY2gSjyNQKWGSwEqSvagNYJa9qA1gEQvTCtCUYgxNRzrUCwF2/qmhIDParFSx8wFbkKYmMkuO96/LN/gGcKhtSjvAKTYmFaCRxiwJfjUEnAWjmyDLaEUsDsAEl1sxc+wWm9x8uQOU2y13gGqDZZ7Igqrtlhi62nyJoU/1Asqx7+xJvYB2gFlov85Ad4IRPB1H+3VGOl/MTbw0M+Lsu4u13Rh6VW+gHHvU7PibdQPtALtAI5GRSbM+eE6GXCGNmGIvUEa8dJa347gwMHQ5aMuxT1kVgpwMsFlbNYEHJAN0RkaUbrQdcLy6lQ84M9JQbiyNR90tdSy3TOqRYz+wDoHwK2dEK6ZAm5QLMm4vCbRJGHLmaZMywMdkrfC0SRiw8YRfP25frMhNvvAQf7gpNIwJ6Nu11gSiuZwQ7eiKnYOQFRrGhDAGWxNoGBMy27EnwTYDjfJGlIMc5HgYsEDDmJAmeesmsAUnxF3uLpCKJuTFolfBPmPITSD0/XE1Ym2mCUAOQt/UEcmHSOibOnJiJk/oCwEPgRE1IU8nQ2BExYDRSuK6mnpTg5Lnw3iu4AQFmBQ3yLHOQD+uDYUcFUNWOPoT0jFoQ+boTxWRfAgTuzFkMizsO7njmccqRT+GLlD0Y8ACKXhCHoamQAqOASsjMxISdk5lZAaG3IT5PglphrXZ1QE/yRDJhzrhB4OH39LTyuwnqE7dE1eyPNejaoJqoj2hrxKz35A9nAWdyFeJYw5ZMkRwE2f8YOguzvjB0Cs/4wcDboLTAySdnKhwqU4BD8UxKYj6wccyz6XaGVJtpsTleGNISPOl0xUvKwzJiOREKnUFIBAy3l4wB7ckOPPxPC12CIVfj3P39bGM+MmbRgHjJ29mCnjwEzgx4ImPiGwMMD2zhhKbrYTp1DayZTGtU+jGv0xiwC54wEDy15lZNq9vchdPCzEXdEnMa/B4hR/auaLGjiD8gL3Jo+7vggx5k0XwVAPsUG4jPdW+fmBAnipJYDL9xg/08Ae4Brxp9BeQLuvY6WWM7lpqAESvWmoARG/aOHIQvdOv9CAwXdp2yN2RIzXFsBiDd+ItMpVD1RFknLfhhIxk0d3xXM/crUYMjOd6ZqeAnXY5QeBKu5wgcKNdThCYGB4+KOChpRpA9KmlGjB0thanUWrN1uI0SlNqEYNVm4hPUU18MgPhXXGHHHK1CLqV/8dVf8NuiNRNdrQq5MlV/JQugxXSu3jlpojPcmOZYwWcss8G8ex6I0/n2GlgKH7Dn0T63ACHTZzOzuPpRsltWjQLorscYQH5emeoWtbRRB4ynCjgmccF54jMXfBOkIwxwd+yDjsEPAXvBAHuOEnSTBRwpkefX6tFeBjZST0reILkNvF5yyaS1+0uXAcFMK0dTwEt4Dit25t8DSQoN9DxEHLsVjdWDTTd09uSGeJy8C67rUhmcOBPIEcgNpAEGDzZZ6z81xhIn5TDpTtjOSJjIqU7TpTu9N1yxMaDKN0Zh71LiMiV1+nREeDGH+wRtm74QOk0T+m+UaEjTRC/HBfUiN3cQbx41AX19krOJGwRoq4z87fzCJsznKi+WR+/gTJBqvhGICpsllQbqCrsLvIGMpuggSmWsfMr12cMhd5IY91IfUP84nPy2xDLVVMStuHKDv7+808fnh8+XkDuH18e/vr84dPzBeDx7v7h8fK33z7ePT6+e375fP/07vPTy6f3d/dPL8/vfm2X//ny8Pnvb/F+K/PyYdU9udWvx/jDp/cP/3w1MwH6L/dPT3+++RN/X/7j7iLkl4c/XsFu/OK//wHK0HYj
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Re: 3 and 4 way intersections
Posted: Sat Nov 16, 2024 2:27 pm
by Factoriointersection
coppercoil wrote: Mon Nov 11, 2024 11:18 pm
Factoriointersection wrote: Mon Nov 11, 2024 7:26 am
Yes, I can rename. Both the intersection you posted deadlock. For intersections with U-turns, they should be tested with the Everything test. Actually so does the first one you posted, so I'll take them off the site untill they don't deadlock.
I fixed my intersections. I updated images and blueprints in my original posts:
Lilac+U
viewtopic.php?p=629757#p629757
Bottle+U, Airplane+U
viewtopic.php?p=636998#p636998
Great:) U turns are nice to include, maybe we should also show the score in everything test besides it? Added them.
Re: 3 and 4 way intersections
Posted: Sat Nov 16, 2024 2:28 pm
by Factoriointersection
Hovedgade wrote: Fri Nov 15, 2024 11:26 pm
thanks
I got some additional variations of the small turbo roundabout and It is easily possible to make them more compact but then they wouldn't be as beautiful. (One of them has traffic for the left side of the rails and a zero tile gap, so good luck benchmarking that one
)
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
Copy blueprint
Nice
many prefer design over throughput:)
Re: 3 and 4 way intersections
Posted: Sat Nov 16, 2024 4:21 pm
by coppercoil
Factoriointersection wrote: Sat Nov 16, 2024 2:27 pm
maybe we should also show the score in everything test besides it?
I think, no
. If trains use U-turns frequently, it means there is something wrong with a railway. U-turns should be a rare exception, this is why I didn't try to make them fast. Of course, there should not be any deadlocks anyway.
If players need fast U-turns for a good reason, they may use some specialized node with no intersection, just the turns. Making fast U-turn in a regular intersection is more difficult, it makes the intersection larger and slower.
Re: 3 and 4 way intersections
Posted: Sun Nov 17, 2024 2:04 am
by Robert3D
Ive been trying to design some intersections for my SA playthrough. They use a 2-4-2 spacing because i like the symmetry and look. Ive been trying to balance compactness and throughput so while these arnt the fastest, they are much smaller then other designs. Both are LHT
Compact 3 Way
128 TPM
Size 84 x 58
3way.png (1.11 MiB) Viewed 2235 times
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Compact 4 Way
106 TPM
Size 104 x 92
4way.png (1.38 MiB) Viewed 2235 times
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The 4 Way technically allows for U-turns, but these should remain the exception. Too many trains trying to U-turn and turn right at the same time will dead lock it.
Both of these can probably still be improved but im satisfied with the results.
If you got any advice on how to make them better, let me know.
Re: 3 and 4 way intersections
Posted: Sun Nov 17, 2024 3:11 pm
by Factoriointersection
Robert3D wrote: Sun Nov 17, 2024 2:04 am
Ive been trying to design some intersections for my SA playthrough. They use a 2-4-2 spacing because i like the symmetry and look. Ive been trying to balance compactness and throughput so while these arnt the fastest, they are much smaller then other designs. Both are LHT
Compact 3 Way
128 TPM
Size 84 x 58
3way.png
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Compact 4 Way
106 TPM
Size 104 x 92
4way.png
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The 4 Way technically allows for U-turns, but these should remain the exception. Too many trains trying to U-turn and turn right at the same time will dead lock it.
Both of these can probably still be improved but im satisfied with the results.
If you got any advice on how to make them better, let me know.
Hey, I added the 3 way=)
Since the 4 way deadlock I wont add it.
If the trains on the loop had a bit more space it would be better. If you make the blue areas larger so that the trains can go in the green directions that would help a lot.
11-17-2024, 16-11-28.png (1.16 MiB) Viewed 2167 times
Re: 3 and 4 way intersections
Posted: Sun Nov 17, 2024 3:33 pm
by Robert3D
Thanks, ill test around. The 4 way only deadlocks if a train attempts to U-turn, traffic in any other direction should never deadlock. In order to prevent that deadlock, i would probably need to kill the waiting area in the middle of the crossing, slowing down trains quite a bit but ill check.
Re: 3 and 4 way intersections
Posted: Sun Nov 17, 2024 5:07 pm
by Factoriointersection
Robert3D wrote: Sun Nov 17, 2024 3:33 pm
Thanks, ill test around. The 4 way only deadlocks if a train attempts to U-turn, traffic in any other direction should never deadlock. In order to prevent that deadlock, i would probably need to kill the waiting area in the middle of the crossing, slowing down trains quite a bit but ill check.
Yeah. I have a test that uses the U-turn. Click the green settings button and pick everything test, then you can test U-turns and lane changes
Re: 3 and 4 way intersections
Posted: Wed Nov 20, 2024 6:57 pm
by koelkastdeur16
Rotationally symmetrical 3-chunck 2-lane RHD
Entrances are widely spaced, so i could fit my straight sections around my powerpole and roboport grid.
11-20-2024, 19-54-10.png (633.7 KiB) Viewed 1879 times
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Re: 3 and 4 way intersections
Posted: Wed Nov 20, 2024 10:45 pm
by Factoriointersection
koelkastdeur16 wrote: Wed Nov 20, 2024 6:57 pm
Rotationally symmetrical 3-chunck 2-lane RHD
Entrances are widely spaced, so i could fit my straight sections around my powerpole and roboport grid.
11-20-2024, 19-54-10.png
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I like the shape:) I feel like the ramps destroyed the symmetry, nice to see it return:)
Re: 3 and 4 way intersections
Posted: Thu Nov 21, 2024 4:05 am
by Robert3D
Compact 4 Way v.2
150 TPM
Size 100 x 112
4way.png (1.16 MiB) Viewed 1790 times
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Did an "everything" test for 1000mins and it did not deadlock anymore.
Spamming rail signals really helped the rates too. Did anyone do a test on how much lag rail signals, small logic networks for rail signals and trains trying to path through excessive rail signal spam cause ? It seems beneficial to use as many rail signals as possible to boost rates, but it would be devastating for large builds and mega bases if it caused significant lag.
Re: 3 and 4 way intersections
Posted: Thu Nov 21, 2024 5:50 am
by Factoriointersection
Robert3D wrote: Thu Nov 21, 2024 4:05 am
Compact 4 Way v.2
150 TPM
Size 100 x 112
4way.png
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Did an "everything" test for 1000mins and it did not deadlock anymore.
Spamming rail signals really helped the rates too. Did anyone do a test on how much lag rail signals, small logic networks for rail signals and trains trying to path through excessive rail signal spam cause ? It seems beneficial to use as many rail signals as possible to boost rates, but it would be devastating for large builds and mega bases if it caused significant lag.
Awesome, looks good:)
It looks like the spamming isnt too bad. If you go signals closer than a wagons distance that can start costing a bit.
Re: 3 and 4 way intersections
Posted: Fri Nov 22, 2024 2:32 pm
by hooray
Robert3D wrote: Sun Nov 17, 2024 2:04 am
Ive been trying to design some intersections for my SA playthrough. They use a 2-4-2 spacing because i like the symmetry and look. Ive been trying to balance compactness and throughput so while these arnt the fastest, they are much smaller then other designs. Both are LHT
Compact 3 Way
128 TPM
Size 84 x 58
3way.png
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Compact 4 Way
106 TPM
Size 104 x 92
4way.png
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The 4 Way technically allows for U-turns, but these should remain the exception. Too many trains trying to U-turn and turn right at the same time will dead lock it.
Both of these can probably still be improved but im satisfied with the results.
If you got any advice on how to make them better, let me know.
i need RHT sir
PLZ