I don't see any chain signals in this. Any congestion in one direction should block the junction and quickly cause a grid lock situation.zytukin wrote: Sat Feb 24, 2018 2:26 pm Basic 3 way intersection I have used for several factorys. Currently in use with 2-8 trains in a rail based mega factory containing over 1000 trains that has over 700 hours of play time and has launched over 1500 rockets. I have never had a deadlock unless I forgot to place a signal when doing modifications to make it fit a specific area.
This design is to accommodate higher turning traffic
3way.jpg
3way2.jpg
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3-way intersections: Throughput Compendium [Image heavy]
Smart setups of railway stations, intelligent routing, solutions to complex train-routing problems.
Please provide - only if it makes sense of course - a blueprint of your creation.
Please provide - only if it makes sense of course - a blueprint of your creation.
Re: 3-way intersections: Throughput Compendium [Image heavy]
I don't see any chain signals in this. Any congestion in one direction should block the junction and quickly cause a grid lock situation.zytukin wrote: Sat Feb 24, 2018 2:26 pm Basic 3 way intersection I have used for several factorys. Currently in use with 2-8 trains in a rail based mega factory containing over 1000 trains that has over 700 hours of play time and has launched over 1500 rockets. I have never had a deadlock unless I forgot to place a signal when doing modifications to make it fit a specific area.
This design is to accommodate higher turning traffic
3way.jpg
3way2.jpg
blueprint
Re: 3-way intersections: Throughput Compendium [Image heavy]
Better to switch them to full signals and remove the signal after the merge. That one is redundant. Although it can help trains to start moving sooner to have it. You need a few more at the exits though to make it effective and space them just right. There is no point of having a train leave the first signal following another train if it then has to stop at the next signal. You need to space the signals so that when 2 trains follow each other the first will clear each segment just before the second train wants to reserve it, or at least before it has to stop at the signal. The more speed the followup train can retain the better.RulerOfHeck wrote: Thu May 20, 2021 1:25 pmYou're right, pre-signals for merging switches are redundant, I'll remove themhansjoachim wrote: Thu May 13, 2021 6:03 am Nice:)
The blue ones have no purpose, the only thing they do is forcing larger gaps between trains since trains have to wait longer before they merge. Why do you want to have them there?
I've been working on 100-grid 5u and 150-grid 6u 4way intersections, I'll update this one soon![]()
Re: 3-way intersections: Throughput Compendium [Image heavy]
I am designing a tile-able, hex-shaped, city-block-style rail base. Why? Because hexagons are bestagons. But I'm having some issues with intersection design and am struggling to properly test the ones I come up with. I'm specifically looking for advice on intersection throughput improvements, but any other feedback would be greatly appreciated.
So far each version is scoring between 30 and 45 TPM using testbench, but since it is an odd layout (no clear N/S E/W rails) it doesn't properly auto-connect the output and spawner stations and requires much manual tweaking in order to start testing - even then it frustratingly forces new tracks in wrong places. Furthermore, when multiple hexes are tiled together the trains have many more possible routes to choose from, which is hard to test.
Finally, is 30-45 TPM a good enough throughput for 'normal people'? I have set up some simulated bases with a few of these designs with dozens of trains and blueprinted stations and have weeded out deadlocks (hopefully?), but I just don't know if it will scale since I'm not an experienced mega-baser and don't want to mock up an enormous base if I have a flawed design.
Thanks in advance, I'm pretty sure there are train experts lurking around here somewhere that are either intrigued or triggered...
Here is my main Hex with righthand, 3-way, buffered, bypassed, roundabout-style intersections for 1-4-0 trains.
And here's something similar for 1-2-0 trains (by far the most aesthetic).
Here is another version that is 2-lane, left/right turn only for 1-4-0 trains.
So far each version is scoring between 30 and 45 TPM using testbench, but since it is an odd layout (no clear N/S E/W rails) it doesn't properly auto-connect the output and spawner stations and requires much manual tweaking in order to start testing - even then it frustratingly forces new tracks in wrong places. Furthermore, when multiple hexes are tiled together the trains have many more possible routes to choose from, which is hard to test.
Finally, is 30-45 TPM a good enough throughput for 'normal people'? I have set up some simulated bases with a few of these designs with dozens of trains and blueprinted stations and have weeded out deadlocks (hopefully?), but I just don't know if it will scale since I'm not an experienced mega-baser and don't want to mock up an enormous base if I have a flawed design.
Thanks in advance, I'm pretty sure there are train experts lurking around here somewhere that are either intrigued or triggered...
Here is my main Hex with righthand, 3-way, buffered, bypassed, roundabout-style intersections for 1-4-0 trains.
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
- hex_1-4-0.JPG (1.15 MiB) Viewed 172 times
And here's something similar for 1-2-0 trains (by far the most aesthetic).
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
- hex_1-2-0.JPG (1.24 MiB) Viewed 172 times
Here is another version that is 2-lane, left/right turn only for 1-4-0 trains.
0eNqtfU2THDmO7F8Z07k0j98A57inPexp7d3GxtbU3ZpumWmkXrV63q6N9X9/mZFZjFAlmenuqpMUUpUHAyBIAHQC/3rzw8ff3//65cOnr2/+8q83H378/Om3N3/567/e/Pbh50/vPp7/7dO7f7x/85c3X959+Pjmj6c3Hz799P5/3vwl/vG3pzfvP3398PXD+8tvbA//+1+ffv/HD++/nH7g6fk3f/t6+t2ff/n6doN4evPr599Ov/X50xn8hPQ2mpWnN/97+pUc0ukNP3348v7Hyw+cHm+AEwPcnoHLY+AMA6eQwjNw+xa4TYALM2JfAM9GXAngVgjgNoC/fP7h86+fv3ydS2Fg9hPml/f//fv7377+198/fPz6/stv5x/77fKSywTZZ84fk1caIf04hOSPpe+EkDwsgGdC6oiQjpP7+4UUA6PxRnxMjIT887OYYngs/5gYzTYGOTOqTQvkqTQYk23OIFdmlRnICZDGbrQ/fPj57fuPpx/+8uHHt79+/vh+jh539BkeZZGFGSllkivkqXQ7JYOTcdpdGSTG3iwQI02MvaVhFeWxdBNlb4lBpuxtNeapNKgtMjHIlL2NuQbs6qkxcg4MsjFy9gXyVBqueGUQcmfkPDQI7N85EMjBGeTdBs+Ab68+7xS3/rkO5D9XADuB2NF6uoM9dVQZO+xhIZEpclGcawi5Kt51AryAzNhhaAwyY4c9LZCn0nAlJICQu+JHJ2DXLpQdFgaZiRX7CnkmjZIU5x9CzvDaEW3Ydyov7fu8h92CF8VlTsAWXhgzDIlBbowSV2OeitrgpdTDPVGHGbgrMQQ07K74zwnwD2ogPf1gO/oMj/FFQ2BGythf9wXyNPWRSU9/X59tKoOixCTQSKvijyfAf6mEyfVduggysfP5PiMAP6C6EkNAyF3xxzPgB7TAyLkxyJGRc1ogTzN4SYkhIOSs+OMZ8ANaYeRcGOTKyHmFPJVGU3xxCNkUvzYDW3VzRs6JQe6MnFdjnknDguKLQ8hR8WszsPtZYuQcGOTMyNkXyFNpFMUXh5Al1zMDu5Ux++C+1iHIzD647ynAbmWuuMsQcle8uQLsVs7sg2PvhpDRTMwJNw8XvwQkE+MvMjE//vLuw6c7b/BY7rxhJnFnrHF4eAXYa70o/jOEXBXfsQB7re/W+OPvX/75/qcN9+0PC20+I+eZV+7GzLjCjNLxUXqs+ygfS5bZA+NqzNMDx6B45RByVDzcAngEndkDR3wNIWfWrvtu1xWx614YTa6kMkWuit8PITfFhy6Az9GNi7gPO8A04u6MFzpyc9BIKQv0BfL0fDFwqZfjcm/zA/2oRCbYWJPi5hfALYohT1fPd3PdxR16ClY4Q+52MOT+0pB9+gpmtxv5dkwUjR19uTP6+SuMXen821dMQQnz83EgUxAqSej47PBoDHQMSoCJQUdSkT0OKdcA5fXjgQsD+Eb9GT1ONcjQX/bwsiLEGob/stv3apyU8TVqnI2ZxGkBPZ8OVOhnD0TAeJvhoHdgnB0NnU72cG/Chil3KyiJBkjAKSpRe0X4RSlJ03cagsSUCZu1vIMB60Fit752UGF+qcL5KyocWudAgzd48jWjweFzP8+RBmcsMtWFVufQXVo55rMvByUDVRGuXI5KOqcWhJipGeDcU8mMsznIYfXl+jaXAbPRtb7Ank6DzGx7zSjoRkhk0FMr5KIwpJfeKjVsJuJrmYLuDHRkoAuT9azUFGGIL71SU4RhvvRKqbEwfmel1FgYc6ycGhlzLJwamZxL4dTIWGPh1MhYY+HUyFhjodRYGWvMlBorY42ZUiPDg+mZUmNlrDFTamQ4MT1zamSsMXFqZKwxcWpkrDFxamSsMXFqZKwxUWqkmDGRUiNDjemRUiPDjemRUmNjrDFSaqTYMZFTI2ONgVMjY42BUyNjjYFTI2ONgVMjY42BUiPDkfFOqdGYY4pOqZFhyXin1EjRZDqlRoYn451TI3M46JwamXypc2pk8qXOqZE5qnBOjUyuxik1MmwZN0qNzlijUWp0xhqNUiNFkzFKjQxPxo1TI2ONXIbIGWvkMkQMcca5LI4z1shlcSjqDJfFobgzXBaHIc84l8Vh2DPOZXE6Y41cFofizXBZHIo4w2VxGOaMc1mczlgjl8VhWDTOZXEoGg2VxUmBsUYqi5MoQg2VxUkMocapLE4KjDVSWZwUGGvMnBoZa0ycGokjDh/1SDBoI6BH6YUKMHUSRao5Ji2mYF2hFVekKMKBRoOdO/vOKKo2ZxSlA4EGIIWNj29zsMSOsHw7wsdHXYki0Ax2cUUqOIgEGpvLouoEudoQglyKNIvN77wiT1+xm90v7z7+/e1PH979/PkEf4cLZLtcHpv1gWOD4XuKC/y5SrvON74VUZ1Wbgk60W97xRQ0SmvSfCoyzJqd3F6RAiIpM6zBSEEXsp5Z/f5SXelAvCHrMZ3ePgVsJAF75/wtAKnbFfYAzNkFe7/IUztCx08MseawqM7HeyDWAFTMeJwYj1glKcdXwZ4uc8fCMnfKznV7zbmcydv23R5J/0h8++ndlwVzZZ8hvljdciVHVv3ByFgrSw8M40CouauwV118DlQb7J7Cfhyw+Aqs2qG/6rQr7G2LR9PuQLjBAMuDJbSkx/P4FPl8u9JNgUgL80fTrhRMYa867RiSzcHXWHxBY67o2WIVnS6ixV4DeuomFtevm1aHWNmpUJHhA5uorJGFBytojWoRxhVgIiutvsZUpng1Yw9vcQ5W9PCqxZtJMY2v6ndEibfvmEaJB2oNG8K1CNhONTmEe4k/Nfvqeny1iWgK+h1x4US3cVpqMijr6mIytsgOePfUG3TlPjX2zn3od14xnYstK9mmlpD1laLajMRQQ8q+UlSbfVnJc002hRnfkKspiWLXjHPPBlyQSBS7Zpx7YtBdYcbfSGSqOoZeszPjoWEz9JqdGY9BJ4UZj0FnhRmPQReFGY9BV4UZj0E3hRmPQZvCjMegXWHGY9BdYcZD0FQxmkKpkaHX7Mx4DDopzHgMOivMeAy6KMx4DLoqzHgMuinMeAzaFGY8Bu0KMx6D7gozHoJm6DU7Mx6DjgozHoNOCjMeg84KMx6DLgozHoOuCjMeg24KMx6DNoUZj0G7wozHoLvCjEegM0Ov2ZnxGHRUmPEYdFKY8Rh0VpjxGHRRmPEYdFWY8Rh0U5jxGLQpzHgM2hVmPAbdFWY8BE3VrHFKjTEqzHgMOinMeAw6K8x4DLoozHgMuirMeAy6Kcx4DNoUZjwG7QozHoPuCjMegqYq2lBZnEwxbagsTqZ4N1QWJ6esMOMx6KIw4zHoqjDjMeimMOMxaFOY8Ri0K8x4DLorzHgImipvQ2VxMlPexqksTmbK2ziVxck5K8x4DLoozHgMuirMeAy6Kcx4DNoUZjwG7QozHoPuCjP+JfS031UJCjMeGnWRWKjzc69cJBZqS4gIJBbqS2ifQhel3lZDOhcX7VSxzqXblIJ3Dam3lfFeTsdSd+22l9Mc3ZVadzB6V4rdoeiV5X4fat7B74hK0buGtDusSbLv+QysUkH9VpBxFniKHOq7NoP6Mh4oOER512YAJyFXqclFa8iwTVo9bK476QrUCqwr1Q9bQ7pGBqUk60tdTRd6mmBzKMx6O9Pmo5dayzSkUWfL38Ejc4S7kyl+zagIjI2eZMF5yndGP6XG5CZVHW5IR9r2HaW+24Ijnxm+zc7uxMbblRrzhjQytaD2G7Ap7y1bVIrWvxzrfHWmWDajwDwmh6wUajeov21RCrW/hJ6auFW1UcJKe02p/I6JwZSeGZYQ5blO/LUEscEzRbIZjTSg4VM1bEYnDUMCLZcaX2DQSelmY0ig5VlpbmSQHimWzWiVgw27Kt2ODNnLqSI2cSXsuR5N6ZKDQbvS/soQb9q7fhHSDDN5im4zCMrQ8HtU77/Z3Ic/kGzIS1wrwAzH4Ye7NYYVBchc06eVaKeTjuv6FCjopjT9M8Sjptg1uw8GQbsS5xvimDLsmr1zHgJdCHbNoZGlA75eCVJPDAw6KaG0B0QgWelliUEXpTmrJ0QgVQmhMeimBFyeEIGY0p8Vg3al4bAXRCBSmAhBax2hHHASCsOuseWo59BJaaLtDRFIVqIZDLooPrs3RCBV6aONQTelMbw7IhBTIg0M2hXn15ENjGHX7L3hIejE7I1jR+/IBpYiWU9lGHufZhQK1SVquAjYWLPi6XVkR2Q4NTbcMQwabRV1Ut1+wNUzcjZSEmWFz2tHR7ZbglVzcH4xaFfcyI5stwdWDXZNfnBlT/AzQIZLY16YsWa4P7d5uDMz5uDMXjgyCB1xDgg2zcFVx6CL4vR2xDlg2DTmiYKmrHDMZ8Q5yKa46hi0K05vR5yDTO2FgYEuzF44EvcdcQ5KhFfqUHd77FB2qZSkBALYwOHczcmhvjfwMkUvisPeEceGYdjYOODBoBmbfD5OLAHxQ4oJYQYI7YLDfgM9Fwhjk8/Hwxh0pWyyPEMjrgLRPmoPM0DoJDjsN9BzgTC5GysUNJO7SUONyOZLtI/awwwQugn+9Q30XCBM7sYSBc3kbtKYIcjmW7tYx/IMPwNsQYgEsLEyTaOGC3wDPZVwS2JVq6UYKMsL1FgZy8sDGtnAj/wapJRqCd9fi6u0JkQI4PcYW9nS9g+bAjpXn/N1BNTZKpj5/lfQ5Jv0QCwH8g1UBfNVxGKJK1r5Oi/N4nnnUnSFLVpZHwBWrjTk64ilsQUuH4nFhCj5ZlGYrp/mXMHB1xEQ4/U2Z77HmR03P4sqImGARyGhAEInITS/gZ4LhNl7W6Ogqb33eQJFJAxwuqK47fBTwCZkKMCxmhAv30DPJeysJxYfiIGyvMKMtVOWNyYaEqj0qKQNMOikBOARCVQ6ZXmJgqYsb0w5JK7oVUkbYNBNCcAjEgYwzB1rgYJ2OAFZRh6vRIeOigjuzgl+jBtw9yvF3Rk5CQw6KtF9BPbvynB3rDoFjSdka72jyDk4Y5HlWSQpINKuSsIDg25KYJ4CIhDGImujoJkMUHleR1JCBNKVdAIEzbB3dqc3AVtvpdg7tVDQzAFJGWosiEAyvLDuV1hP0NDJTo1FCQSwgVd4Idlvx84GXqboTXHYU0GUSdlkoqApmxyzuyHiZrOy+/I6ZVVXirkz4hZorExdnN2/ToAfUhOblX2uMnOGnwIy/mkN1FgZ49uhEd8jVSXMwKCb4rAnxPdgquHYbh4QNGN5w6gz4h6kroQZEDTF4BkOe0bcA6Yajo0tC4NmdsOx0WbEPaD4OyMSwKCL4lNnxD2g+DulUNBMxmY4kBnZwCn+zthNMGhXD1lO8FPArh5PLADlTlNLwKimu1eASQkdMuKmFGbPW2p+Dk3tecPKEK+iVCXgwaCbEjpkxAko1J4XKGhmz9t3D8QJKF0JeCDoGhT3OyNOQGX2vH2nhqC5BjcneY+biKUEJAtWK7P3DcerIH4GxcwZjhcGXRX/uSB+BsXMGU4uBg2XpbKc7yhyDu7w5euTIgd4RqTN2OWIrAriH1EsnV2REHRU/P6C+EcHls7Di+72XC3wLOspGLMv5kKNs7DrR9+nXYXWj8bsjyNlUhB/juLjjDUbgzYlTimIL8KUwbGcKGjKDseMRnwRkolz3ArmiR6LSriGjTUpgU9BnBuWVXPYABZiYOK/kdTGxlpZ4/bduBcNYqsxNjdOJQrigpnBZYBOYzUK2pV4FYPuStRSEO/OiTqo9lwY9gw9BSOrwVnq386GhzVYKsWUGYdhmCgyO/pyZ/TzVzDe6Dg4rYg36tQe+Dyza5wrshF+3HOh9DMYME6DT33qqBV4EgF26uOuBOGYgMliN1biveFPz356YHy6fl+JPSrxd0WCCIo1M1aN1TgZ33MQFbBxoiVQU9yv+ZZ6c5lzriz8DrFHGpyxQNvBEWiTVop54NClTExFYieqrs3IaVQgJmlM16jD/J2KoAWi1LA9d227UdV0QWiB7C5ssZEzreG0mLZfeIbBiQ0vlrGgQdCVgTYKujHQlYI2BjpT0M5ARwqaCPpiptRI0GJO0JQaCVrMCZpSI0OLiZlSI1HU5gRNqZHhxMTEqZGxxsSpkbHGxKmRscbEqZGxxsSpkbHGSKmRocbESKkxMdYYKTUmxhojpcbEWGOk1MiQZGLg1MhYY+DUyFhj4NTIWGPg1MhYY+DUyCREO6XGzBxMdEqNmUmNdkqNFEmmU2qkSDKdUmNmUjPOqZFJzTinRiZV6pwamTDROTUyQaNzamSs0Sg1Ei2jTqMOFHQkoMctpAqkHBtV4aYdJt8UTDqor8BpWKMK2owTj1oQEVQp2l+IoBEJ83EXrSJNixrFmOEcO6qGDefYFaJLm417sRVJiDaKMsM5jRRlhnMaqSI2nNNIFbHhnMbKWCDnNFJUGc5ppKgynNNIFbHhnEamdVTjnEamkVTjnEaCKHOCptTIEGUa5zQyDaQa5zQytJnGOY1M46jGOY0EXeYEzamxMdCcGo2B5tTIWCPnNDJdo5pRajTGGo1SozHWaJQaGeJMM0qNTPuo1ig1MhSa1jg1MtbYODUy1tg4NTLW2Dg1MtZYOTUy1lgpNTL9o1ql1Mj0j2qVUiNDp2mVUiNTeKZxR39M+6jGHf0daDS/vPv497c/fXj38+dP7z7eSSIMqRgQix6YNTQb9syH+fYVdfoK0zl52yumoC6lEWwOJnG5K8DLbJ1J0uzrEgTNstvyQa62kGtPDP/O9vFOwVgGWy7fjhCIyHtRmOIVIJO2ruVp5nOsN52LeGtoPn2Fsa/wO6/I01c4txyd3mGL5WiuTfJu/YGjMS1VZwdmzb2imXFUDqrfX0/OAtkv43DeuviKRDLRR9XnFeDRMn9692WRjt6nx4IbbaGQI9tjisXIwCqn9qoKa9JusvgCYy4d2fEzHpiHBX8N6DaF7vq1uuoQG9YYbs1hM5yLObJNaXZ67QIwqTX+VoCZLNj7GlM5FvXC9+orKllV91W+oqm3zFdfYWQR3Ff5CieL4L7KS7t6n34huhTImrWv8RVJvsS/+opEFpZ9la/Iar3M1VeQ1n3g0S8AKR/3gZEl1sc93OitHblaaVThmvxIms5cb4iL7TTOB9pfBXvqBmTMIu1VLTKTFmmPLDKnhz7o+Xz2Wy9jCsRaWXjgCWTSytqjPTRje2h71cUnk3toexRLHRg4bC6qRcC7za4nilpcTY6uJ7g20G/tMc7eQbWbGm55m14/shLZAe+LaIPKIlhhS2jUfucVPn1FVtbplUiKntiY6DBP31H1/MztO+YyaXLy5KX9zNVqyuWWBtzRsuLK5RYMuiuXWyBopuXUfrkFg47K5RYMOimXWzDorFxuwaCLcrkFg67K5RYMuimXWzBoUy63YNCuXG7BoLtyuQWCZsra7JdbMOioXG7BoJNyuQWDzsrlFgy6KJdbMOiqXG7BoJtyuQWDNuVyCwbtyuUWDLorl1sgaAvK5RYMOiqXWzDopFxuwaCzcrkFgy7K5RYMuiqXWzDoplxuwaBNudyCQbtyuQWD7srlFgiaahPllBqpNlFOqdGTcrkFg87K5ZaX0NMw6cDWIS63YKOWit60aR0Ho1pEDVZKS4gITGGlvISeBrnuCoHkJfT8/JDqFpVXEpmma7tUgWOhuR6VOzkNqcBhVKkbzh+lCt9w/mgvyp2cG4nMVVeVOznYsJtyJweDNuVODgbtyp0cDLord3IQaKdq4FC+rlP9oShf16n+UJSv6yErd3Iw6KLcycGgq3InB4Nuyp0cDNqUOzkYtCt3cjDortzJgaCZ7lCN8nWd6Q7VKF/XY1Lu5GDQWbmTg0EX5U4OBl2VOzkYdFPu5GDQptzJwaBduZODQXflTg4EnYJyJweDjsqdHAw6KXdyMOis3MnBoItyJweDrsqdHAy6KXdyMGhT7uRg0K7cycGgu3InB4I+0m/wKp7ttt9emqKz5/+HYp7wO5JSzbMB3AKnSuLsq+CUvOFUEZxR36MVZJxVqe/RgNIhnpuUS1iIwJRqng2bBg733jjU8YQnWVcKeaLoIudmejnHS1SqxjbgEpGXpJSubvY41eYlszSegxINYQp5KfAMOZSXvgWfq7Aq1aVfimaaKnSqj9Qo1tsaMmyJgrqaeSznzQ5sL4euyDnVQmpUeW9AjXqv4Tsoews+p9eoFE3HxpuUGuQNaIrgNX8HgcwRAplTFXFGZXJs9FXpcWEBkXlTely8hJ4LxNQOLRbnU09qmoGJQWqaYUArAG9B7dCyEEOLSheOl2Odr8xN6piBySErvYAMODHzVpTWPRi01LPUEiKQphNnLUGX+pxqGzW6+WDDl9q3GbKUcm2jhrkgkYUFpUUXBi21EjYkaDGpfZtBU8Sy0v4LGzbcUeN4YdWw4gJOsWvGEbwhcQHFrhlN/jBoqbm3Ib6vuX7DayL0+WyRTvmh4VM0m91XQDxLimazCx2CTkpjT0PcPs9KFgSDLkpM7YgrRdFsxjKIQTelJ64j3ombEpJi0FKbKUe8E6o2zvBOIGiKc1NX0FOBaL2mMOikhAiObO89K33gMWi5LIBPm6L7gXVD3tBfATb13voK0NQr5CtAV/rAO+LGdCk4RKB7CErk4oCj0QO15wUKmtrzfAE9F0hW4i0MuiiuvzsiEGbP23cPCJrZ8/ad2hGBSD2FMWhXHOgeEIEwe97wiiBohldjwwPtgBPQI3tBfyxRfZoF6jEpcQQ21qx4yz0hEmYrUo3bmSf4KSBleYUaa4Oj17wfkfWMnN30aPDZTbM74HMFMnthWwllDt2VcAeCZtpJ7YFDBxyszrSTCiPHgUEzdthWo54LJCvhDgZdlMChI85BoiwyUNDUXugL6LlATAl3MGiH15GSdlPvUBasUx2lhnPaEdeD6ig1DgMwaCYEHCdaHXE9coJX1lrviTtM0bMSZmADL4LDXgPi2FBNpZ7PJkFoxiafz69voOcCMSHMAKFdcNhrQNwGqqnUcxEoDLow/qmtoKcCKVEIM0DoJDjsNSCbL9ViKiUKmjnOt9Wo5wKpQpgBQjfBHa4B2XyLiRU4z/BTQMYGU6DGynip5gvoqYRrEKsGrsRAtZZqhRprEtzeGpANvJLlU2v4/qJpnSljE6JT31PFFOz5w6aAjavM+joCMjHvu/wK5yqzvs5XdK4y66u8lKXp+G7Xc9EdaDpQZdbX+YokptWXX8H4ux4WJjddnQ6sHajo6+sIqArhOvg9TQh8a0ScbKZAToiNgmZyRZ4W0HOBdCFcx6BNCU1rRJxsY0uXDxOK8xQlVRYnFmqslHWuoOcSZosZjw1xJYYqhPzgWJsS3kYkDKCK4cREQVOWtxr1XCBdCcohaIqlM/a2iHjtFEsnBgqaydK6L6DnAslKUI5BFyW8jYi/S7F0glPQ+LlJGAm4Gh06N3H83KSnO+BzeTMW2cNCKHPorqQTIOgelDg6Ic5BZywyNAqascieFtBzgWQl+segpQg0IXt5pyyyUNBMjravoOcCMSU+wKDxc5P9Jm9NBTs36V1xqROwscdAsXpC4rCZdFFfjTvNsfGjk/1S6EziYQ6flVADHHpRnOzUIJFXMiJ4rq10xp8jMg5rCNxoGYvsvsBeSNnJoGBfuG0hia5EMNhoqY5Ww3dPjkiZqZPTdylj2MTW6PvscEgmWQk6QOyi+O85QDKpjLwbh90YeacF9kImpgQeILYrPnxOkEw6I+9CYTMFczyssOcySVFx4UHspHjDGdrWGa5PH6sqiF0Yea/GvZBJVdx4ELspHnGGdkmG79P3eYJhOyNvX2AvZNIVVx7DzpLbmqE9jSH89H0dxLCZ/XLfd6A9jeL77PsOhl0UL7BAexpTQaePfR7ERhM8J+Rxw/CEjSR4TujyGWaJcx8zu3q0t0Tk+ladZl25I4f57GDIPj681wJ5DhTbZ3ivIHZSPOMCeQ4l4/eg+3N1ylryXIsMxaeP2AMcKVE+x2PdR4pImPFX42rcC2xTYg8Q2xUfvkA+DsP46SO3gGGTdXROMu+7tVfM2hkWkMeVbBbYSYlvQOysxAkF8qMqey1y38cW2YZK7YqBGy1llb7AXkiZvS257wcrSbgSg4Gj7UosUyBf70DTeVj8pnvcsedoXDnH2O1g2R0pCxUDU1Knj9MIUBqZHX+5M/7FOwq7+vm375ijEpbo49CqQH51w2taRY/GYZsSS4PYZP2O3kdVv1oDdOxxeklnXKj+DL9whAkeziGMrlCYYVTIGB+NlDLDxo00M5M5LbDnk8KY5M2YzEspMG5pOGgfGSkcFp4M497EnZ8emSlZFVDIrmQnKhQJWJem8SJm8UCY73Nh9zMasjY4ux22gx5vrqYu3gGfMfb9Vi2OnuE5uF+rxdHhgqueI4/O2GaqC9UusJu0iqwmoSkJtwoFie5K4qpCgZxrprhwYTrjig6SXUUKKMfA1MjprS/A55OBod70Zhx2JoQyOL8V8106k7BplRs4Exq2zGE3Bjty2MxBRiUnCmOLlZwojC1WSpeR6VbVa+awGcOskcNmDLN0DptJ1BTjsBm7LKQuGbsspC4ZuyykLhm7zKQuGbvMpC4Zu8ycLpn6Oj1zuqQIOZnTJUPI6YnTJUPI2Y+6QGzGLhOpS8YuE6lLxi4TqUvGLiOpS8YuI6lLxi4jp0uGkNMjp0uGkNMjp0um9k4PnC4pQk7gdMkQcnogdcnYZSB1ydhlIHXJxJSd1CVz2NFJXXYGm9NlZigAndMlQ8jxzumSIuQ4p0uGkOPO6TIzuVYndckceDipSya746QuGbs0UpeMXRqpS8YujdMlRc0xTpcMNWcnKoHYjF1ySaVYGLvkkkqRIep4I3XJ2GUjdcnYZSN1ydhlJXXJ2GUldcnYJZn3qYxdknkfiqBD5n0ogg6Z92EIOk7mfZiWV07mfRiqjpN5H4qqQ+Z9KmOXZN6HIu2QeR+GtONk3qcxdknmfRpjl2Teh6HuOJn3acRBiY9qMSB2IbBHPYyK0IEiRdw55jjmaE0hOVeEmhibkafZvhOXqv15NWJnCGjj+9sCrbNjLN+OETg2ixRJZ/CcK8J6jCJJZ85KjJZ0Pt65fyrAx4tGc+b8zjvy/B27Af7y7uPf3/704d3Pn0/4dxhHtosGsPADjwd7wV7o6+ULFnptOuf5Vkp1/g7TmYXbO+aoLi1QqxnZFa59RXiy0QPDU4wcdiTrM9bvL652emtSa2fVvkDMJAd8JxmuEKlbH/YIrbIL+H4jqnbobkBkyDuHNXY1YmMIoPE4PR7SVqL7q4DPFz3vZEnNV5nTPbCVQR9poB9pdj+9+7LgxuzzxFdrXSfLPfZRJXs5tqzevlsiFrKE6OtojaznejhSWH1HI6uSvs53mHp3cfkd7G3I8mhF7f3xfPbUv133ZkgpsEVYH82+FNgqrK+htRSS5IOsviEzdwltsaiWOXZ5Dew2x676LdnqGC08BSqCjI9EzZpb8EeIrtbRXCJ2sm7uq0xpirszdvYWF2hRD8JavJkaef6S74gmb1/i83dkOdJrETGiWORI7+UL5itArHoUtklpjvod8eNEwXH+ElOW2eWcdHbIuyvfsOIGKbKFA0K/8475lExByVC1BC23FJ1n5JIaQv1PFJ1nX2LmlxRSygo9v0E3ZRLF4BknqQ25q5EoBs84SQWxm0LPvxHKQn+m0PPBgbtCzwexu0LPx7BzUOj5IHZU6PkgdlLo+SB2Vuj5IHZR6PkgdlXo+SB2U+j5ILYp9HwQ2xV6PojdFXo+hl2CQs8HsaNCzwexk0LPB7GzQs8HsYtCzwexq0LPB7GbQs8HsU2h54PYrtDzQeyu0PMx7BoUej6IHRV6PoidFHo+iJ0Vej6IXRR6PohdFXo+iN0Uej6IbQo9H8R2hZ4PYneFno9hUxSezumSovB0TpcUhadzumR6Y+30fBC7KPR8ELsq9HwQuyn0fBDbFHo+iO0KPR/E7go9H8O2oNDzQeyo0PNB7KTQ80HsrNDzQeyi0PNB7KrQ80HsptDzQWxT6Pkgtiv0fBC7K/R8DNuDQs8HsaNCzwexk0LPB7GzQs8HsYtCzwexq0LPB7GbQs8HsU2h54PYrtDzQeyu0PMx7B4Uej6IHRV6PoidFHo+iJ0Vej6IXRR6PohdFXo+iN0Uev5L7PkhYDeFng+OW2K/rs7QusR+bUhdvBwk9utLbJ9jR6WIWEOuFeSgnVLOz8kzw+3Z6/k1qIhYDnC9umMlv3bbz2sBX5VSfjh8U2r54fAs+/xQ0g9/iSs1/VqFDKhLpr6YiFFqN9CQunv5JdsHK2nbDKJH5wPNh6ho2wzhO2SqPM+oDNoaNPAirSS2UKB0MWuJ1pQSj61B08GUIrQvFTZf+WkSz6EU7e2EW4y/K0WPG1IDOqfwHZw1hwhCmeLwjFLI4PhJzp2nfGf8c/ZNTlK95YaUVM/pO8qdtxVRPzOcnp1TCo64KeX2LUDqNLUFg8WFJFwp4P9ytIvVmmLyjFr7mCioYjyjYr0hBcTzgclDVKx/iT239pzU3hErFVIleEYNfFASReknYgnSYNVJx5YwPnqmiDyjxQj4Aaa0GDEoHMtSQxAQuyuNfwwKx0pQWkIZpkyKyTO6CoEDT0qHKIN2eKoYT1wJfK5MqhhPSBx2VXqHGeRtl6bf1DQDrZ+i9Ax6NPgBDsfDh4s0BlYJyEXK9Rjk8VOFeUZXMRA7Kl0UDfJmKVbP7vpg2FkJuA1yCRlWz97fD8SuSpdQh3wsitUzom0QW2pa4JDXwrB69i6hIHZXuuA65FA0qX0PiB2VkMchh4Jh9exdcEHsrHR5dmjPb0UJ1UDsqnjlDu3LDKvHluNeYJvSxdyhLbO5Ek2A2F1xmB3a0xhWz97FHMRm9st9HYT2NKrJ1r4OYthZ8Tsd2tMYVo/t+w6GzeyXY5/v0J52YPVg9VaG3fdFbG+meODgaF3xAju0SzJcHhueGobtAXS8T/rbD6J6xo4vnLLH53WkQ3swweY5+MYgdlZ8zA7twU52frXBgD3hzxErMz8KN1r4oNI83JkfC3RmfxyxfId8BoLFc/DlQeyu+MQd8hkYFo954rApexzzGvIZelJ8eRA7Kz5xh3yGTu2PgcNm9seRV++Qz9AbvHKHultmB7M93ZRQARw6nO05Odz3hj7P9vSuePQd8XgK037LxikMiM1Y5/PRXwuIf1JCEiIRFDsLHv0N9kImjHU+n+ei2JR1lmfsBMmkCZEIim2CR3+DvZAJk+2xwmEz2Z40dInsyIWg+OyRCIodBf/7BnsuE6b9llnisJlsTxrzpEEyKWI1zDP+HLEKsQI62iZ4yDfYCymbWARrLQnKBgM32s7VTm3hFQpslRQEP78FxJkoKQr+8g32XFpHxg9SjuyVpMXsp825LypCBNAi5AekKnjSN9iLcTfBk24R2k+Z2j7Dp7vBXozbFf8lQus7wwjap2i8WSf+9vTm/52ez5Pzryfjq081PNW/Pf31tFac/p63v5//6ekUE2x/P/3T07kR7fnh/G9P57I322+c//HpXGzj/HSu9nR6Oqnu8tQOP7n9+XQuO7M/nVPDl6ft9/L19/Ll9/zwdA5kL0++ve/6e+c/n86B6P50LlhyeYrHkZXt7TUcns7JzO1p+9RzQYXz0zamp/Mic3mq21O/PJ1H8VSuo97ee3q6vGH7jadS+/XpLMrSLiPb/vWp+OV927+envz6ZJvQj0+lXVFaP7xv+/P0k9f/O7/3qZZweConnV+eyvbUrk+biq9y2UbxVOMV5TyKp5ou46yXCXB93/avp6frfNgkb7Fcn/r2dHnDNorTU78+nSVhVwluaE8Wrr+3jdPy5f9a31DC5Wn78/SUrk/p8Hvbn6c3xMPT+Tbg9hS334vX34vb//Xr723T+3wX/vLUt6fLqLcRPvl1jlvaRpauv5fKYZzbn6enfHjyFq5Ply+6/l6+/N7lDdsIn/pVZttvPPXrN2wjfDpXm7o81e3Jrk/nUffrG7YRnp4u37f9/uknr8a4fe25htL2VLaftMsb+tWEy/XJNiPO1x/dBnN69KtRx4uJ1+tjuTz6s5XX7bmW52e/PNv1OW/g54LL12e/PD//fy2X5/D8vP18ui4pW6318/97fn7O3/z89penrUT08fnM6Lw+p2/ev/3laSucfH2u34xn+8vTVj74+uzfjGf7y9NWQfX4fKYfXp+v47/+/jaQp+0I4/Kct/GcU7+X580ENyf68uzl8nzGP63GH76+/8fZnfz4+/tfv3z4dPY5Pr774f3H07/927vf3v/p39//z5/e/uk//s9//un//v7l5FQ8vfnnyc+4dCNoqZd+0m6uuVj644//D+7Bm7I=
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