{"FileModelVersion":{"Major":1,"Minor":0},"Name":"ASF-27 Tsurugi II","Version":41,"SavedTotalBlockCount":696,"SavedMaterialCost":58192.3047,"ContainedMaterialCost":775.3333,"ItemDictionary":{"1607":"bdf96eb8-6d43-4b2e-8610-68952484ca04","654":"f1746662-adec-4054-98bd-94b553bc6c6d","661":"b9c6a6bf-a61a-44eb-bf89-ee414711fed2","663":"1ab5006c-9156-4605-a670-68e1c2eb2e9a","662":"58f677fa-2af3-453e-8f63-9b4e0a13c968","660":"73be5bb2-53f2-4cdc-abcd-6264837a44c2","76":"c7d3ffb8-3ceb-40ae-a2b0-69c1f4d59462","83":"a52c86ec-8f2c-4c0e-8487-8aa12ba93dd0","71":"cacc9c8b-9149-4adf-a86c-5cf5f4b035b8","69":"26a852c0-da52-4232-8e04-69913c8edc13","409":"639405b3-d2bf-4eb6-aef3-72f7e62bf151","411":"1b9aa074-9b04-4b5c-b30e-35bdfa0e0835","370":"154e5001-729c-4a9f-983b-342d3092a0f3","371":"310a7a9a-8d4e-4365-a877-1a8e2bac2a81","419":"d30acc39-3742-47bd-82de-f5e1b9af565d","379":"4aa8cfcb-7aeb-430b-9726-f8bb8d8f4124","323":"f1070c58-4f5d-40c2-b5ed-8c08673d71a5","82":"7489ebd4-92d2-4641-9db4-139bb592fc34","372":"86a6eb4b-cb64-4451-9dc5-94efff6b8ed6","279":"9413049d-a4f7-4c1c-8b8a-d2f1f4c18e53","1605":"f5e7ac10-3c0c-4999-8287-07245ee81062","1609":"80a0edf3-97c0-4bf6-bfc3-80dc68525080","1022":"9411e401-27da-4546-b805-3334f200f055","1604":"a6ad7eaa-e826-42d5-b4f5-7358a842623f","277":"4f87eff7-616b-4663-8f11-cd7a7ddd3649","722":"01a87958-93cf-4efa-857f-10913b0573d9","723":"515ee20d-20d8-4195-bea5-213e6f1fd929","727":"f94702c9-cb55-49e3-8cc4-138288fa1f13","730":"33b65ccc-58a0-487d-8b68-a997a71b0bfe","726":"91d167b1-652f-4ac8-adc4-973b548ccd5d","1056":"a6cfd078-bc39-4ad8-a47f-49097913a27b","1060":"2b1b3011-0b81-472e-aa42-26383f453268","1032":"2a3905ff-2030-421d-a2bf-90fba71c1c5e","1036":"8c2aaf82-442e-46a7-9ea5-1b7862cacb87","1039":"2cdbdb66-132e-4202-90c6-e0a2d8022cc6","1013":"83e8ef5c-b943-4896-8a35-0ab346eaeb40","1014":"872ace7e-5f07-4e1f-ac4e-ff8811484ee4","410":"2cf00d3a-02a2-4d77-a432-9b1e7d52aa3a","1037":"ba5c8d03-9093-47a9-a8cd-b721ceeee1dd","1040":"afb33fc2-3071-408a-b312-da22478c0a14","1027":"9af822b3-80d9-46bd-9ce0-e6e5c2e61da4","1028":"b5d46bb7-d49e-42f6-817b-323fbf6d62b0","990":"84cd2d26-9521-450d-8c6b-96101341e865","991":"2d1d0f03-0751-4430-b023-b660749187dd","1020":"8f9dbf41-6c2d-4e7b-855d-b2432c6942a2","1026":"cc968269-d27d-4099-b052-92934999dc7f","1025":"5836b06e-1a7e-4d96-ac14-b62e2dc82370","982":"4929dc91-e2af-42cd-a672-b86571a0b92f","1011":"8cc9f7ee-50ed-4a1d-9fbd-57e1d635bf83","1012":"6debd577-7c5b-4b96-984d-6f830a33c47c","1021":"649f2aec-6f59-4157-ac01-0122ce2e6dad","1029":"911fe222-f9b2-4892-9cd6-8b154d55b2aa","983":"e3921d2a-d812-4c80-a4f6-4360b1af8631","721":"d5016f16-6431-4e8f-b0cc-5f0f400b151a","717":"819ef76e-1023-4f06-bfb1-96cd3e58ba88","624":"3cc75979-18ac-46c4-9a5b-25b327d99410","725":"4c24445d-a29b-446e-b03f-29e570e9d47d","1030":"c6176cb5-0a32-4d68-a749-8ee33b2230c1","246":"8600329a-4b2b-44c7-8e66-634b0d81ce3d","30":"02ea8321-aaff-4d03-8c50-20c241a82632","320":"26a604f0-071c-49ca-8a0e-e1d9c959b1c5","319":"f29b1372-f4f3-4305-aa85-5fe214361fb7","247":"38e9a85a-ac7d-4cb0-bd43-a5ae2099640c","341":"3ed4d2a4-62ce-4807-b516-6da685804e1e","368":"4b334c3f-aafd-440c-9c1f-02a98fd18ab5","316":"edd65760-896f-4f6a-ba8c-eb2b072635f4","369":"a56e0dcf-94e4-48a0-b8b9-5e33e0ab69cf","2":"c4e23d98-fbde-449e-823f-872004cadc7a","0":"75a78e48-0848-45ee-9df2-e2b328c1933d","1608":"020fae5d-c759-4456-87e6-7e423752a427","1611":"91f61454-6e53-4df0-9ced-e4d86a98ab88","367":"e6bb2b09-daee-432d-9aff-45fc63d24fca","329":"c68d0ed7-66d1-42cd-974e-01aa0f36c847","1035":"51b37dbf-2beb-425b-a817-89434838c857","1038":"967f98c3-d708-4602-9c71-0f34562cdfca","345":"a745d992-b62f-4014-a524-9e5953ccffd3","356":"a6edccd7-3ec8-419c-9405-703e8b4bdc8b","346":"1bb2d71d-cd5f-4a23-844b-8005dec7bd5c","331":"62e2b663-c26f-461e-ae26-43068010f993","364":"2c557c38-4136-436a-bae2-c5cd1102690c","769":"d3924bae-be5a-43a0-be19-64fc7c8d6059","276":"5d8870cd-d401-4b52-a3dc-641c02b3b31f","750":"585b5669-d551-4bbe-b9ee-f7e3c1802773","775":"bf0db0d2-8582-41d2-bcfe-5299bec3d06b","1053":"a4b0d100-c480-4697-b606-489d80a6d376","1057":"ad3e7665-cf63-4135-835f-2f743c69bb36","1049":"902446c4-ff32-4118-83ac-1f4bf89c56d1","1045":"f2df1943-1ebf-47c6-9b81-ad613b7c5d5b","34":"2718d6ad-07a2-4d98-bd7e-9cdb2b3f70db","788":"9a564782-3a07-472b-ae06-5a7dfd123e7d","244":"82b2446e-c12e-436a-8340-76d38372ead1","254":"c8fe583a-357b-4fa6-86f1-fc2de639c909","46":"a70f015e-a9fe-45f1-958c-fc501ec7e2ea","754":"f4138d11-e258-4925-9a8e-1b0054e4b82b","664":"b799b159-3bab-45f8-92e4-3107bca46513","74":"a9763554-b190-4861-95fd-f97584923683","78":"2b2d4fdc-8ffa-4399-985a-f9f5ec1263d0","1054":"90c9965a-1dcc-4786-a2d2-6299fed7260f","1058":"27692d7a-c05f-4ac4-ac98-f25e359faebc","985":"559146d5-618d-48a3-811d-5292fee0b112","984":"29251fa7-0963-4206-bb08-a144b767fdea","1024":"cd05c53c-7af8-49be-ae8b-fbcbf41abbd7","1023":"9d1cb184-75e9-4f86-b60a-fac026e7c711","1018":"80277222-e122-44c4-8e8f-83ba7fb370ce","992":"faafca6a-e060-4a5f-97c4-80e89173e004","95":"0fd8c160-7f2e-4921-8eef-ff2bd8785c1a","1006":"4cbd1e09-0cb0-4d91-a488-58725bcff7c3","1005":"1fc1a1b6-bd6d-4907-8e96-f3b6e7b49670","1055":"b2ca635d-350c-4977-b8d4-2b2dd28cd2d7","1059":"8aceae65-2dce-44b7-94b1-b4bd34d287a5","986":"5de2adf7-76fb-42ea-8120-209ee5a42624","987":"c099b76c-f011-4c87-ad8e-20c968c1eb76","1034":"95a626e6-f1b8-491a-aa31-8de5a2beb513","1033":"62f61c31-a453-44ce-87a2-b5ce142fb052","404":"8ba7a591-3923-4344-9f87-0588c6a1aba0","402":"44cdf22f-f4b9-43bc-aaff-2d4ae6c80503","403":"912404d2-30c9-47c5-8430-5e2834b64271","1063":"0d915e65-114c-4945-9585-ac58ad90223f","1610":"47f51fca-7668-45b9-8201-51541110833e","1016":"fdba2b5d-3570-43fb-a9e1-10a0c0bba0ef","1015":"54b18bde-2698-4840-a2aa-a37efba89ff4","85":"95e34566-9234-4559-b601-9a0b9b7c11e5","789":"c125728d-3952-44cd-939e-84f8290fbd9f","1":"275b820d-dd55-49aa-9b09-48b58e8ab5da","751":"a3d914e9-697d-425f-abda-a6b21b4de952","315":"5ef97d26-1196-4b1a-ba1d-fd539c26b684","617":"e63040c9-0027-4fd3-be30-67fe3e950140","605":"cdca5dec-eeee-4849-9b2e-73b23e216465","1031":"a3ea61a8-018c-4277-afd9-ac0a34faa759","604":"788700be-1e74-46d7-9e34-1a5ec2747548"},"Blueprint":{"ContainedMaterialCost":775.3333,"CSI":[0.0,1.0,-1.0,0.0,-1.0,0.0,0.0,6453.128418,0.019835,0.0,0.0,0.0,0.0,15571.896798,36.426277,1.0,1.0,0.0,1.0,160.894196,663.050842,-1.0,0.0,19500.0,1.0,1.0,75000.0,0.0,0.0,0.0,142.307999,0.0,0.1,0.1,1.0,1.0,3.0,-1.0,0.0,-1.0,0.0,-1.0,1.0,17.759501,-1.0,0.0,0.0,762.03186,314999.984861,315000.0,0.0,1560.0,-1.0,828.5,616.406128,2.891073,0.0,0.0,500.0,-1.0,12.0,0.0,0.0,0.0,4.516921,18.666777,0.0,0.0,0.0,0.04319,2342.012207,495.921173,1636.539795,495.921143,1.0,1.0,-1.0,-1.0,-1.0,-1.0],"COL":["0.011764,0.27,0.42,0.99","1,1,0,0.63","0,0,0.09,0.99","0.560784,0.56,0.56,0.94","0.1,0.1,0.1,0.5","0.3,0.3,0.3,0.5","0.5,0.5,0.5,0.5","1,1,1,0.1","1,1,1,0.5","1,1,1,0.99","1,0.921568,0.015686,0.99","0,1,1,0.99","1,0,1,0.99","0.838062,0.141621,0.164626,0.312552","0.668718,0.269176,0.913262,0.094304","0.706396,0.373102,0.213145,0.363325","0.257089,0.849648,0.055604,0.804167","0.613777,0.898942,0.552002,0.859742","0.500186,0.422934,0.984984,0.382855","0.023322,0.096429,0.169358,0.60416","0.895473,0.362165,0.914837,0.769784","0.041382,0.930602,0.145425,0.942102","0.784064,0.263654,0.262237,0.136145","0.371958,0.819965,0.697682,0.882451","0.725473,0.951781,0.497261,0.287237","0.991383,0.740714,0.084243,0.099487","0.70396,0.657428,0.212782,0.41056","0,0,0,0","1,0.1,0.65,0.82","1,0,1,1","0.54,0,0.65,1","1,1,1,1"],"SCs":[{"ContainedMaterialCost":0.0,"CSI":[-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0],"COL":null,"SCs":[],"BLP":["0,0,0","0,1,2","0,3,3","0,5,4","0,1,0","0,1,1","0,0,1","0,2,1","0,3,1","0,3,2","0,4,2","0,4,3","0,5,3","0,2,2","0,5,2","0,5,1","0,4,1"],"BLR":[0,4,4,4,10,7,7,7,7,7,7,7,7,7,7,7,7],"BP1":null,"BP2":null,"BCI":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"BEI":null,"BlockData":"AAAAKgAAAA4AAgAAAAAAAAMAAAAABwABAAAAAAcAJIgAAAAHAF0AAAAABwBdGwEAAAcAZAAEAADwwQAABFQAAAA=","VehicleData":"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","designChanged":false,"blueprintVersion":0,"blueprintName":"NS Tail","SerialisedInfo":{"JsonDictionary":{},"IsEmpty":true},"Name":null,"ItemNumber":604,"LocalPosition":"3,2,-18","LocalRotation":"0.499999,-0.499999,0.499999,-0.499999","ForceId":0,"TotalBlockCount":17,"MaxCords":"0,5,4","MinCords":"0,0,0","BlockIds":[605,1030,1030,1030,1031,0,0,0,0,0,0,0,0,0,0,0,0],"BlockState":"=0,17","AliveCount":17,"BlockStringData":[],"BlockStringDataIds":[],"GameVersion":"3.6.4.5","PersistentSubObjectIndex":3,"PersistentBlockIndex":-1,"AuthorDetails":{"Valid":true,"ForeignBlocks":0,"CreatorId":"7885c4e1-ff75-44d7-a7f4-dfb6ba7fb5e2","ObjectId":"09775b66-bda6-4868-a2d9-c9b526a3c0cc","CreatorReadableName":"EigenFN","HashV1":"1e84b78d9afdb1d689364e932a02cc5a"},"BlockCount":17},{"ContainedMaterialCost":0.0,"CSI":[-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0],"COL":null,"SCs":[],"BLP":["0,0,0","0,1,1","0,0,1","0,2,1","0,3,1","0,3,2","0,2,2","0,4,3","0,4,2","0,1,2","0,3,3","0,5,4","0,5,3","0,1,0","0,4,1","0,5,1","0,5,2"],"BLR":[0,5,5,5,5,5,5,5,5,4,4,4,5,10,5,5,5],"BP1":null,"BP2":null,"BCI":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"BEI":null,"BlockData":"AAAAKgAAAA4AAgAAAAAAAAMAAAAABwABAAAAAAcAJIgAAAAHAF0AAAAABwBdGwEAAAcAZAAEAADwQQAABFQAAAA=","VehicleData":"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","designChanged":false,"blueprintVersion":0,"blueprintName":"NS Tail","SerialisedInfo":{"JsonDictionary":{},"IsEmpty":true},"Name":null,"ItemNumber":604,"LocalPosition":"-3,2,-18","LocalRotation":"-0.499999,-0.499999,0.499999,0.499999","ForceId":0,"TotalBlockCount":17,"MaxCords":"0,5,4","MinCords":"0,0,0","BlockIds":[605,0,0,0,0,0,0,0,0,1030,1030,1030,0,1031,0,0,0],"BlockState":"=0,17","AliveCount":17,"BlockStringData":[],"BlockStringDataIds":[],"GameVersion":"3.6.4.5","PersistentSubObjectIndex":4,"PersistentBlockIndex":-1,"AuthorDetails":{"Valid":true,"ForeignBlocks":0,"CreatorId":"7885c4e1-ff75-44d7-a7f4-dfb6ba7fb5e2","ObjectId":"09775b66-bda6-4868-a2d9-c9b526a3c0cc","CreatorReadableName":"EigenFN","HashV1":"1e84b78d9afdb1d689364e932a02cc5a"},"BlockCount":17},{"ContainedMaterialCost":0.0,"CSI":[-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0],"COL":null,"SCs":[],"BLP":["0,0,0","0,1,2","0,3,3","0,5,4","0,1,0","0,1,1","0,0,1","0,2,1","0,3,1","0,3,2","0,2,2","0,4,2","0,4,3","0,5,3"],"BLR":[0,4,4,4,10,7,7,7,7,7,7,7,7,7],"BP1":null,"BP2":null,"BCI":[0,0,0,0,0,0,0,0,0,0,0,0,0,0],"BEI":null,"BlockData":"AAAAKgAAAA4AAgAAAAAAAAMAAAAABwABAAAAAAcAJIgAAAAHAF0AAAAABwBdGwEAAAcAZAAEAACgQQAABFQAAAA=","VehicleData":"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","designChanged":false,"blueprintVersion":0,"blueprintName":"NS Tail","SerialisedInfo":{"JsonDictionary":{},"IsEmpty":true},"Name":null,"ItemNumber":604,"LocalPosition":"5,-2,-16","LocalRotation":"-0.499999,0.499999,-0.499999,0.499999","ForceId":0,"TotalBlockCount":14,"MaxCords":"0,5,4","MinCords":"0,0,0","BlockIds":[605,1030,1030,1030,1031,0,0,0,0,0,0,0,0,0],"BlockState":"=0,14","AliveCount":14,"BlockStringData":[],"BlockStringDataIds":[],"GameVersion":"3.6.4.5","PersistentSubObjectIndex":10,"PersistentBlockIndex":-1,"AuthorDetails":{"Valid":true,"ForeignBlocks":0,"CreatorId":"7885c4e1-ff75-44d7-a7f4-dfb6ba7fb5e2","ObjectId":"09775b66-bda6-4868-a2d9-c9b526a3c0cc","CreatorReadableName":"EigenFN","HashV1":"1e84b78d9afdb1d689364e932a02cc5a"},"BlockCount":14},{"ContainedMaterialCost":0.0,"CSI":[-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0,-1.0],"COL":null,"SCs":[],"BLP":["0,0,0","0,1,1","0,0,1","0,2,1","0,3,1","0,3,2","0,2,2","0,4,3","0,4,2","0,1,2","0,3,3","0,5,4","0,5,3","0,1,0"],"BLR":[0,5,5,5,5,5,5,5,5,4,4,4,5,10],"BP1":null,"BP2":null,"BCI":[0,0,0,0,0,0,0,0,0,0,0,0,0,0],"BEI":null,"BlockData":"AAAAKgAAAA4AAgAAAAAAAAMAAAAABwABAAAAAAcAJIgAAAAHAF0AAAAABwBdGwEAAAcAZAAEAACgwQAABFQAAAA=","VehicleData":"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","designChanged":false,"blueprintVersion":0,"blueprintName":"NS Tail","SerialisedInfo":{"JsonDictionary":{},"IsEmpty":true},"Name":null,"ItemNumber":604,"LocalPosition":"-5,-2,-16","LocalRotation":"0.499999,0.499999,-0.499999,-0.499999","ForceId":0,"TotalBlockCount":14,"MaxCords":"0,5,4","MinCords":"0,0,0","BlockIds":[605,0,0,0,0,0,0,0,0,1030,1030,1030,0,1031],"BlockState":"=0,14","AliveCount":14,"BlockStringData":[],"BlockStringDataIds":[],"GameVersion":"3.6.4.5","PersistentSubObjectIndex":11,"PersistentBlockIndex":-1,"AuthorDetails":{"Valid":true,"ForeignBlocks":0,"CreatorId":"7885c4e1-ff75-44d7-a7f4-dfb6ba7fb5e2","ObjectId":"09775b66-bda6-4868-a2d9-c9b526a3c0cc","CreatorReadableName":"EigenFN","HashV1":"1e84b78d9afdb1d689364e932a02cc5a"},"BlockCount":14}],"BLP":["-1,0,0","1,0,0","-2,0,0","2,0,0","-2,0,-3","2,0,-3","-2,0,-4","2,0,-4","-2,1,-4","2,1,-4","-2,1,-5","2,1,-5","-2,1,-9","2,1,-9","-2,1,-13","2,1,-13","-2,1,-16","2,1,-16","-2,0,-16","2,0,-16","-2,0,-15","2,0,-15","-2,0,-11","2,0,-11","-2,0,-7","2,0,-7","-2,0,-5","2,0,-5","-2,-1,-5","2,-1,-5","-3,0,-4","3,0,-4","-3,0,-3","3,0,-3","-3,0,-2","3,0,-2","-3,0,-5","3,0,-5","-3,0,-6","3,0,-6","-3,0,-7","3,0,-7","-3,0,-8","3,0,-8","-3,0,-9","3,0,-9","-3,0,-10","3,0,-10","-3,0,-11","3,0,-11","-3,0,-12","3,0,-12","-3,0,-13","3,0,-13","-3,0,-14","3,0,-14","-3,0,-15","3,0,-15","-3,0,-16","3,0,-16","-3,0,-17","3,0,-17","-4,0,-11","4,0,-11","-4,0,-10","4,0,-10","-4,0,-12","4,0,-12","-4,0,-13","4,0,-13","-4,0,-14","4,0,-14","-4,0,-15","4,0,-15","-4,-1,-15","4,-1,-15","-4,-1,-14","4,-1,-14","-4,-1,-13","4,-1,-13","-4,-1,-12","4,-1,-12","-4,-1,-11","4,-1,-11","-4,-1,-10","4,-1,-10","-3,-1,-10","3,-1,-10","-3,-1,-11","3,-1,-11","-3,-1,-12","3,-1,-12","-3,-1,-13","3,-1,-13","-3,-1,-14","3,-1,-14","-3,-1,-15","3,-1,-15","-2,-1,-14","2,-1,-14","-2,-1,-15","2,-1,-15","-2,-1,-13","2,-1,-13","-2,-1,-12","2,-1,-12","-3,1,-5","3,1,-5","-3,1,-6","3,1,-6","-3,1,-7","3,1,-7","-3,1,-8","3,1,-8","-3,1,-9","3,1,-9","-3,1,-10","3,1,-10","-3,1,-11","3,1,-11","-3,1,-12","3,1,-12","-3,1,-13","3,1,-13","-3,1,-14","3,1,-14","-3,1,-15","3,1,-15","-3,1,-16","3,1,-16","-3,1,-17","3,1,-17","-4,0,-17","4,0,-17","-4,0,-16","4,0,-16","-3,-1,-16","3,-1,-16","-3,-1,-17","3,-1,-17","-3,-1,-7","3,-1,-7","-3,-1,-6","3,-1,-6","-3,-1,-5","3,-1,-5","-4,0,-5","4,0,-5","-4,0,-6","4,0,-6","-4,0,-7","4,0,-7","-5,-1,-10","5,-1,-10","-5,-1,-11","5,-1,-11","-5,-1,-12","5,-1,-12","-5,-1,-13","5,-1,-13","-5,-1,-14","5,-1,-14","-5,-1,-15","5,-1,-15","-5,0,-15","5,0,-15","-6,0,-8","6,0,-8","-6,0,-6","6,0,-6","-6,0,-12","6,0,-12","-6,0,-16","6,0,-16","-6,0,-17","6,0,-17","-3,0,-18","3,0,-18","-5,0,-16","5,0,-16","0,0,-13","0,0,-12","0,0,-11","1,0,-13","-1,0,-13","1,0,-11","-1,0,-11","0,0,-10","0,-1,-13","0,-1,-11","1,-1,-13","-1,-1,-13","1,-1,-11","-1,-1,-11","1,0,-10","-1,0,-10","0,-1,-10","0,-2,-10","0,-2,-11","0,-2,-12","0,-2,-13","0,-2,-14","-1,1,0","1,1,0","0,1,0","-1,1,-3","1,1,-3","-2,1,-3","2,1,-3","-4,1,-10","4,1,-10","-4,1,-11","4,1,-11","-4,1,-12","4,1,-12","-4,1,-13","4,1,-13","-4,1,-14","4,1,-14","-4,1,-15","4,1,-15","-2,2,-7","2,2,-7","-3,2,-8","3,2,-8","-3,2,-12","3,2,-12","-5,1,-11","5,1,-11","-1,-1,0","1,-1,0","-1,-1,-4","1,-1,-4","-4,-1,-4","4,-1,-4","-4,-1,-7","4,-1,-7","-5,-1,-7","5,-1,-7","-4,1,-16","4,1,-16","-6,-1,-13","6,-1,-13","4,-2,-17","-3,-2,-8","3,-2,-8","-2,-2,-8","2,-2,-8","-1,-2,-4","1,-2,-4","0,-2,-4","0,-1,0","-1,-2,-8","1,-2,-8","1,-2,-9","0,-2,-17","-2,1,-19","2,1,-19","-2,2,-18","2,2,-18","-2,-1,-19","2,-1,-19","-3,-1,-19","3,-1,-19","3,-2,-18","-1,-2,-17","1,-2,-17","1,0,-12","-1,0,-12","1,1,-13","-1,1,-13","1,1,-11","-1,1,-11","1,1,-10","-1,1,-10","2,2,-11","-2,2,-11","1,-1,-12","-1,-1,-12","0,-1,-12","0,1,-10","0,1,-12","1,1,-12","-1,1,-12","0,1,-9","0,1,-6","0,0,-14","0,0,-15","-1,0,-14","1,0,-14","0,-1,-14","-1,-1,-14","1,-1,-14","0,-2,-15","-1,-2,-16","-2,-2,-17","2,-2,-17","-2,-2,-18","2,-2,-18","-4,-2,-13","4,-2,-13","-4,-2,-14","4,-2,-14","-3,-2,-15","3,-2,-15","-1,0,-16","1,0,-16","-1,-1,-16","1,-1,-16","0,0,-17","-2,1,-18","2,1,-18","0,0,-8","0,0,-7","0,0,-6","0,0,-5","0,0,-4","0,0,-3","4,0,-18","-4,0,-18","3,1,-18","-3,1,-18","3,-1,-18","-3,-1,-18","3,-1,-8","-3,-1,-8","1,-1,-5","-1,-1,-5","1,0,-7","-1,0,-7","1,0,-6","-1,0,-6","1,0,-5","-1,0,-5","1,0,-4","-1,0,-4","1,0,-3","-1,0,-3","0,-1,-8","0,0,-2","1,0,-2","-1,0,-2","0,0,0","-1,0,-8","7,0,-11","-7,0,-11","7,0,-10","-7,0,-10","7,0,-9","-7,0,-9","8,0,-10","-8,0,-10","8,0,-11","-8,0,-11","8,0,-12","-8,0,-12","8,0,-13","-8,0,-13","9,0,-11","-9,0,-11","9,0,-12","-9,0,-12","9,0,-13","-9,0,-13","9,0,-14","-9,0,-14","10,0,-12","-10,0,-12","10,0,-13","-10,0,-13","10,0,-14","-10,0,-14","11,0,-15","-11,0,-15","10,0,-16","-10,0,-16","9,0,-16","-9,0,-16","8,0,-16","-8,0,-16","7,0,-16","-7,0,-16","7,0,-8","-7,0,-8","8,0,-9","-8,0,-9","9,0,-10","-9,0,-10","10,0,-11","-10,0,-11","11,0,-12","-11,0,-12","7,0,-17","-7,0,-17","11,0,-16","-11,0,-16","10,0,-15","-10,0,-15","9,0,-15","-9,0,-15","8,0,-15","-8,0,-15","7,0,-15","-7,0,-15","7,0,-14","-7,0,-14","8,0,-14","-8,0,-14","7,0,-13","-7,0,-13","7,0,-12","-7,0,-12","0,-2,-8","0,-3,-8","0,-2,-7","0,1,-4","0,1,-1","0,2,-1","-3,2,-17","3,2,-17","-3,-2,-18","-4,-2,-17","7,-1,-13","8,-1,-14","-8,-1,-14","-7,-1,-13","-8,1,-14","-7,1,-13","7,1,-13","8,1,-14","0,-1,-2","0,0,-1","0,-1,-6","0,-1,-1","-1,-1,-9","1,-1,-9","-2,-1,-6","2,-1,-6","0,0,1","0,0,-9","3,-1,-3","-3,-1,-3","2,-1,-3","-2,-1,-3","-5,0,-6","5,0,-6","-1,-1,-18","1,-1,-18","-1,1,-18","1,1,-18","5,0,-4","-5,0,-4","3,-1,-4","-3,-1,-4","-4,0,-4","4,0,-4","-4,0,0","4,0,0","-4,-1,-17","4,-1,-17","-2,0,-17","2,0,-17","-2,1,-17","2,1,-17","0,0,-16","-2,0,-19","2,0,-19","-1,0,-18","1,0,-18","4,-1,-16","-4,-1,-16","2,-1,-17","-2,-1,-17","1,0,-1","-1,0,-1","1,1,-7","-1,1,-7","1,1,-4","-1,1,-4","11,0,-14","-11,0,-14","11,0,-13","-11,0,-13","-2,-1,-9","2,-1,-9","-2,-1,-11","2,-1,-11","-1,-1,-10","1,-1,-10","-4,-1,-8","4,-1,-8","-4,0,-8","4,0,-8","3,0,-19","4,0,-19","4,0,-20","-3,0,-19","-4,0,-19","-4,0,-20","-3,0,-20","3,0,-20","-3,1,-19","3,1,-19","-5,0,-18","5,0,-18","-5,0,-20","5,0,-20","-6,0,-18","6,0,-18","-5,-1,-18","5,-1,-18","-4,1,-18","4,1,-18","-4,-1,-18","4,-1,-18","-5,-1,-16","5,-1,-16","-4,-2,-15","4,-2,-15","-6,-1,-14","6,-1,-14","-6,-1,-16","6,-1,-16","-5,1,-17","5,1,-17","-5,1,-18","5,1,-18","0,-1,-9","-3,-1,-9","3,-1,-9","-5,-1,-9","5,-1,-9","-5,0,-10","5,0,-10","-4,1,-9","4,1,-9","-4,0,-9","4,0,-9","-2,-1,-16","2,-1,-16","-5,1,-8","5,1,-8","-5,1,-9","5,1,-9","-3,-2,-12","3,-2,-12","-4,-2,-7","4,-2,-7","-5,0,-9","5,0,-9","-4,-2,-12","4,-2,-12","-4,-2,-11","4,-2,-11","-4,-2,-10","4,-2,-10","-4,-2,-9","4,-2,-9","-6,-1,-8","6,-1,-8","-4,-2,-8","4,-2,-8","-6,-1,-9","6,-1,-9","-2,-2,-15","2,-2,-15","-1,-2,-15","1,-2,-15","-4,-2,-16","4,-2,-16","-1,-2,-10","1,-2,-10","-2,-2,-10","2,-2,-10","-3,-2,-9","3,-2,-9","-3,-2,-10","3,-2,-10","-2,-2,-11","2,-2,-11","-1,-2,-11","1,-2,-11","-3,-3,-12","3,-3,-12","-3,-3,-11","3,-3,-11","-3,-3,-13","3,-3,-13","-3,-3,-10","3,-3,-10","-3,-3,-14","3,-3,-14","-3,-3,-9","3,-3,-9","0,0,4","-1,0,4","1,0,4","-2,2,-12","2,2,-12","-2,2,-17","2,2,-17","-2,2,-15","2,2,-15","-4,1,-7","4,1,-7","-4,1,-4","4,1,-4","-3,1,-4","3,1,-4","-3,2,-7","3,2,-7","-1,1,-14","1,1,-14","0,-1,-16","5,-1,-8","-5,-1,-8","3,0,-1","-3,0,-1","2,-1,-4","-2,-1,-4","5,0,-7","-5,0,-7","0,0,2","-1,0,-15","1,0,-15","-1,1,-15","1,1,-15","0,-1,-15","-1,-1,-15","1,-1,-15","1,1,-16","0,1,-13","0,-1,-7","1,0,-8"],"BLR":[18,16,18,16,0,0,12,12,2,2,2,2,2,2,2,2,6,6,12,12,12,12,12,12,12,12,2,2,8,8,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,16,18,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,9,11,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,3,1,7,5,7,5,13,15,13,15,13,15,13,15,13,15,7,5,7,5,7,5,11,9,11,9,11,9,11,9,11,9,11,9,18,16,18,16,18,16,18,16,18,16,19,17,19,17,19,17,0,0,0,16,18,16,18,21,15,15,15,13,15,13,17,19,22,4,4,4,4,4,18,16,0,18,16,0,0,11,9,11,9,11,9,11,9,11,9,11,9,0,0,2,2,19,17,19,17,12,12,12,12,12,12,12,12,12,12,19,17,18,16,14,12,12,12,12,12,12,12,12,12,12,15,14,2,2,2,2,14,14,19,17,17,14,14,13,15,6,6,6,6,18,16,0,0,9,11,4,4,0,0,0,0,0,0,0,18,16,12,13,15,6,22,15,13,14,14,15,13,15,13,12,12,8,8,8,8,12,5,7,0,0,0,0,0,0,16,18,0,0,12,12,12,12,2,2,3,1,3,1,3,1,3,1,3,1,13,19,21,20,21,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16,18,16,18,16,18,16,18,16,18,22,23,22,23,3,1,3,1,3,1,3,1,0,0,0,0,0,0,20,21,0,12,12,12,12,0,18,16,19,14,12,12,12,12,0,0,0,0,0,0,0,0,10,10,14,14,0,0,12,12,12,12,18,16,17,19,17,19,16,18,9,11,18,16,18,16,7,5,9,11,9,11,10,0,0,16,18,16,18,16,18,16,18,16,18,5,7,9,11,5,7,17,19,17,19,17,19,17,19,19,17,18,17,0,16,19,0,19,17,2,2,19,17,19,17,19,17,19,17,2,2,14,14,19,17,21,20,14,14,19,17,18,16,2,2,2,12,12,13,15,14,14,18,16,18,16,18,16,0,0,2,2,9,11,12,12,2,2,15,13,15,13,15,13,15,13,18,16,15,13,19,17,16,18,12,12,13,15,19,17,14,14,13,15,14,14,17,19,14,14,12,12,12,12,12,12,12,12,12,12,12,12,16,18,16,17,19,0,0,16,18,18,16,18,16,0,0,0,0,6,6,0,10,10,0,0,10,10,12,12,12,10,10,10,10,0,0,0,3,2,0,9],"BP1":null,"BP2":null,"BCI":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"BEI":null,"BlockData":"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","VehicleData":"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","designChanged":false,"blueprintVersion":41,"blueprintName":"ASF-27 Tsurugi II","SerialisedInfo":{"JsonDictionary":{},"IsEmpty":true},"Name":null,"ItemNumber":617,"LocalPosition":"9353.775,268.3644,13482.13","LocalRotation":"0.04114836,-0.6812035,-0.008578886,-0.7308865","ForceId":1691537667,"TotalBlockCount":696,"MaxCords":"11,2,6","MinCords":"-11,-3,-20","BlockIds":[1607,1607,654,654,661,661,663,663,663,663,662,662,662,662,661,661,663,663,663,663,662,662,662,662,660,660,663,663,663,663,76,76,83,83,71,71,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,69,409,409,409,409,409,409,409,409,409,409,409,409,411,411,411,411,411,411,411,411,411,411,411,411,370,370,370,370,370,370,370,370,370,370,370,370,371,371,419,419,379,379,323,323,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,372,372,372,372,372,372,372,372,372,372,372,372,279,279,1605,1605,1609,1609,1022,1022,1022,1022,1604,1604,69,69,277,277,722,722,722,723,723,723,723,723,723,723,727,727,727,727,727,727,730,726,726,726,726,726,1056,1060,1032,1036,1039,1013,1014,410,410,410,410,410,410,410,410,410,410,410,410,1032,1032,1037,1040,1027,1028,1027,1028,1056,1060,1037,1040,1056,1060,1036,1039,990,991,1020,1020,1026,1025,982,1011,1012,1032,1032,1056,1060,1032,1032,1037,1040,1021,1029,983,982,983,982,982,983,982,983,983,982,983,730,730,726,726,726,726,1021,1021,1022,1022,721,721,717,726,1020,624,624,1021,1020,722,725,723,723,723,727,727,726,1021,1020,1020,982,983,1030,1030,1030,1030,1021,1021,246,246,246,246,30,1021,1021,320,319,319,319,319,319,82,82,82,82,82,82,82,82,247,247,341,341,341,341,341,341,341,341,341,341,368,316,341,341,323,369,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,0,0,0,0,0,0,0,1609,1609,1608,1608,1608,1608,1608,1608,1608,1608,1611,1611,1608,1608,0,0,0,0,0,0,0,0,319,319,319,319,319,319,367,367,367,329,1021,1021,367,329,1035,1038,982,983,345,356,346,331,345,356,356,331,364,769,247,276,277,277,661,661,750,775,1014,1013,1013,1014,1605,1605,1053,1057,1049,1045,1609,1609,34,34,1607,1607,1609,1609,788,788,82,82,244,244,254,46,46,754,754,244,244,246,246,246,246,1021,1021,34,34,46,46,46,46,660,660,664,664,276,276,244,244,82,82,74,74,78,74,74,78,1029,1029,982,983,1605,1605,1608,1608,1609,1609,1054,1058,985,984,984,985,1035,1038,1035,1038,1024,1023,1054,1058,1036,1039,1018,992,95,82,82,277,277,277,277,1020,1020,82,82,276,276,1006,1005,1035,1038,370,370,1055,1059,276,276,1030,1030,1030,1030,1030,1030,1030,1030,986,987,986,987,1035,1038,1035,1038,1035,1038,1021,1021,1034,1033,1034,1033,1020,1020,1020,1020,1026,1025,1026,1025,404,404,402,402,402,402,402,402,403,403,403,403,1063,1610,1610,1035,1038,1035,1038,1024,1023,1036,1039,1056,1060,1016,1015,1014,1013,726,726,246,1020,1020,85,85,46,46,244,244,789,721,721,726,726,721,1,1,1021,1021,751,315],"BlockState":"=0,634","AliveCount":634,"BlockStringData":["DebugMode = false\n\nIsAvoidingMissile = \"T\"  \nIsAvoidingMissileUrgent = \"Y\"\nIsAvoidingMissilePanic = \"G\"\nGTFO = \"H\"\nTakeControl = \"U\" \nAntiCollide = \"I\"\nAntiCollideCritical = \"J\"\n\nPanicTti  = 0.55\nUrgentTti = 1.00\t\t\t\t\nWarnedTti = 1.50\t\nLastRunTime = 0\nAvoidanceRadius = 70\nAltMin = 60\nSpeedMin = 20\nMinAltitude = 50\nMaxAltitude = 600\nPredictTime = 0.5\n\nDebugControlOutputs = true\nExampleControlVal = \"K\"\n\n\nAvoidCollisionsFriendly = false\nAvoidCollisionsEnemy = true\nAvoidCollisionsRadius = 30\t\t-- reserved area around ourselves and other craft\nAvoidanceTurnRate = 20 \t\t\t-- how quickly we turn to avoid collisions.  High values may interfere with other behaviors\nAvoidanceTimeThreshold = 0.45 \t\t-- Seconds Ahead to avoid collision\n\n\nfunction CallComplexControl(I, keyRequested)\n\n    --T G Y H U J I K O L up down left right\n\n    if keyRequested == nil then return end\n    if string.len(keyRequested) == 0 then return end\n\n    keyRequested = string.upper(keyRequested)\n\n    stim = 0\n    if     keyRequested == \"T\" then stim = 1 \n    elseif keyRequested == \"G\" then stim = 2 \n    elseif keyRequested == \"Y\" then stim = 3 \n    elseif keyRequested == \"H\" then stim = 4 \n    elseif keyRequested == \"U\" then stim = 5 \n    elseif keyRequested == \"J\" then stim = 6 \n    elseif keyRequested == \"I\" then stim = 7 \n    elseif keyRequested == \"K\" then stim = 8 \n    elseif keyRequested == \"O\" then stim = 9 \n    elseif keyRequested == \"L\" then stim = 10 \n    elseif keyRequested == \"UP\" then stim = 11 \n    elseif keyRequested == \"DOWN\" then stim = 12 \n    elseif keyRequested == \"LEFT\" then stim = 13 \n    elseif keyRequested == \"RIGHT\" then stim = 14 end\n\n    if stim > 0 then \n        I:RequestComplexControllerStimulus(stim) \n        if DebugControlOutputs then\n            I:Log(\"ComplexKey Output: \" .. keyRequested)\n        end\n    else\n        if DebugControlOutputs then\n            I:Log(\"Requested Output '\" .. keyRequested .. \"' not recognized\")\n        end\n    end\n\nend\n\n\nfunction GetNumberOfWarnings(I)      \n\t  if unexpected_condition then error() end   \n\t  return I:GetNumberOfWarnings()       \nend\n\nfunction GetMissileWarnings(I,ii)    \n\t  if unexpected_condition then error() end   \n\t  return I:GetMissileWarning(ii)\nend\n\n\nfunction Jink(I)\n\tI:Log(\"RunningJink\")\nI:Log(I:GetTime())\n\tFrameTime = I:GetTimeSinceSpawn() - LastRunTime\nI:Log(FrameTime)\nif FrameTime == 0 then return false end\n\n\tLastRunTime = I:GetTimeSinceSpawn()\n\n\n\tI:Log(LastRunTime)\nI:Log(\"Check\")\n\n\tif I:GetNumberOfTargets(0) > 0 then\n\n \t\ttargetPosInfoJink = I:GetTargetPositionInfo(0, 0)\n \t\ttargetAltitudeJink = targetPosInfo.AltitudeAboveSeaLevel\n\n\t\t\n\t\t\n\t\tif CurrPos == nil then \n\t\t\tPrevPos = I:GetConstructPosition()\n\t\t\t\n\t\telse \n\t\t\tPrevPos = CurrPos\n\t\t\t \n\t\tend\n\t\tCurrPos = I:GetConstructPosition()\n\n\n\t\t\n\t\tif CurrVel == nil then \n\t\t\tPrevVel = I:GetVelocityVector()\n\t\t\t\n\t\telse\n\t\t\tPrevVel = CurrVel\n\t\t\t\n\t\tend\n\n\t\tCurrVel = I:GetVelocityVector()\n\n\t\tAcc = (CurrVel - PrevVel) / FrameTime\nI:Log(string.format(\"Acc x:%.2f y:%.2f z:%.2f\", Acc.x, Acc.y, Acc.z))\n\n\t \ttargetPosJink = targetPosInfoJink.Position\n \t\ttargetDirJink = targetPosInfoJink.Direction\n\n\n\t\t worldDirection = CurrPos - targetPosJink\n\n\t\tif targetVelJink == nil then \nTargetPrevVel = targetPosInfoJink.Velocity\n\nelse\n\n\t\nTargetPrevVel = targetVelJink\n\t\t\t\nI:Log(string.format(\"TargetPrevVel x:%.2f y:%.2f z:%.2f\", TargetPrevVel.x, TargetPrevVel.y, TargetPrevVel.z))\n\nend\n\ntargetVelJink = targetPosInfoJink.Velocity\nI:Log(string.format(\"targetVel x:%.2f y:%.2f z:%.2f\", targetVel.x, targetVel.y, targetVel.z))\nTargetAcc = (targetVelJink - TargetPrevVel) / FrameTime\nI:Log(string.format(\"TargetAcc x:%.2f y:%.2f z:%.2f\", TargetAcc.x, TargetAcc.y, TargetAcc.z))\nTargetSpeedJink = targetVelJink.magnitude\n\t\t distance = worldDirection.magnitude\n\t\t targetDot = Vector3.Dot(targetVelJink/TargetSpeedJink, worldDirection/distance)\nTargetFuturePosition = targetPosJink + targetVelJink * PredictTime + 0.5 * TargetAcc * PredictTime ^2\nTargetFutureVel = targetVelJink + TargetAcc * PredictTime\n\n\n\t\tTargetFutureSpeed = TargetFutureVel.magnitude\n\n\t\tFuturePos_Euler = CurrPos + CurrVel * PredictTime + (Acc * PredictTime ^ 2 ) / 2\n\t\tFuturePos_Verlet = 2 * CurrPos - PrevPos + Acc * PredictTime ^ 2 \n\t\t\n\n\t\tFutureWorldDir = FuturePos_Verlet - TargetFuturePosition\n\t\tFutureDistance = FutureWorldDir.magnitude\n\n\n\t\tFutureTargetDot = Vector3.Dot(TargetFutureVel/TargetFutureSpeed, FutureWorldDir/FutureDistance)\n\n\n\n\t\t behind = targetDot < 0.25\n\t\t PointAtUs = (targetDot > 0.707) or (FutureTargetDot > 0.707)  \nI:Log(tostring(PointAtUs))\n\n\n\nif PointAtUs == true and TargetSpeedJink > SpeedMin then\n                 \n\t\t\tCallComplexControl(I, GTFO)\n                 \tI:Log(tostring(GTFO))\n                 \tI:Log(\"Jink\")\nI:LogToHud(\"Jinking\")\nend\nend\nend\n\n\nfunction AvoidCollisions(I)\n\n\tif AvoidCollisionsFsiendly == false and AvoidCollisionsEnemy == false then return false end --we do not avoid.\n\n\t--Collect some variables about myself.\n\tmyPos = I:GetConstructPosition()\n\tmyVel = I:GetVelocityVector()\n\tmySpeed = I:GetVelocityMagnitude()\n\tlocalTerrain = I:GetTerrainAltitudeForLocalPosition(0,0,0)\n\trealMinAlt = math.max(localTerrain + MinAltitude, MinAltitude)\n\tmyLowAlt = (MaxAltitude - realMinAlt)/4 + realMinAlt\n\tmyHiAlt =  MaxAltitude - (MaxAltitude - realMinAlt)/4\n\n\t--Create placeholders for craft we are about to inspect.\n\tnearestCollisionPos = Vector3(9999999,9999999,9999999)\n\tnearestTti = 9999999\n\tnearestDotTargetToMe = 0\n\tnearestDotMeToTarget = 0\n\tsource = 0\n\n\t--try and anticipate my future position along this path.\n\tmyFuturePos = I:GetConstructPosition() + (I:GetVelocityVector().normalized + I:GetVelocityVector().forward) * SpeedCurrent\n\n\t--parse a list of all friendlies and determine how likely we are to collide in the near future.\n\t--predictions are TTI based (comparing relative speed * DOT, since we don't know what direction everyone will turn in soon)\n\tif AvoidCollisionsFriendly and I:GetFriendlyCount() > 0 then\n\t\tfor ii=0,I:GetFriendlyCount()-1,1 do\n\t\t\n\t\t\ttargetPosInfo = I:GetFriendlyInfo(ii)\n\t\t\ttargetSizeVector = targetPosInfo.PositiveSize - targetPosInfo.NegativeSize\n\n\t\t\ttargetPos = targetPosInfo.CenterOfMass\n\t\t\ttargetVel = targetPosInfo.Velocity\n\n\t\t\tTargetDirection = myPos - targetPos\n\t\t\tMyDirection = targetPos - myPos\n\n\t\t\tdistance = (MyDirection.magnitude - AvoidCollisionsRadius) - targetSizeVector.magnitude\n\t\t\ttargetSpeed = targetVel.magnitude\n\t\t\t\n\t\t\ttargetDot = Vector3.Dot(targetVel.normalized, TargetDirection.normalized)\n\t\t\tmyDot = Vector3.Dot(myVel.normalized, MyDirection.normalized)\n\t\t\trelativeSpeed = (targetSpeed*targetDot + mySpeed*myDot)\n\t\t\ttti = 99999\n\t\t\t\n\t\t\tif relativeSpeed > 0 then tti = distance / relativeSpeed end\n\t\t\t\n\t\t\tif tti < nearestTti then --We record a new nearest collision threat.\n\t\t\t\tnearestCollisionPos = targetPos\n\t\t\t\tnearestTti = tti\n\t\t\t\tnearestDotTargetToMe = targetDot\n\t\t\t\tnearestDotMeToTarget = myDot\n\t\t\t\tsource = 1\n\t\t\tend\n\n\t\tend\n\tend\n\t\n\t--Do the same, but now for enemies.\n\ttargetCount = I:GetNumberOfTargets(0)\n\tif AvoidCollisionsEnemy and targetCount > 0 then\n\t\tfor ii=0,targetCount-1,1 do\n\t\t\ttargetPosInfo = I:GetTargetPositionInfo(0, ii)\n\n\t\t\ttargetPos = targetPosInfo.Position\n\t\t\ttargetVel = targetPosInfo.Velocity\n\n\t\t\tTargetDirection = myPos - targetPos\n\t\t\tMyDirection = targetPos - myPos\n\n\t\t\tdistance = (MyDirection.magnitude - AvoidCollisionsRadius*2)\n\t\t\ttargetSpeed = targetVel.magnitude\n\t\t\t\n\t\t\ttargetDot = Vector3.Dot(targetVel.normalized, TargetDirection.normalized)\n\t\t\tmyDot = Vector3.Dot(myVel.normalized, MyDirection.normalized)\n\t\t\trelativeSpeed = (targetSpeed*targetDot + mySpeed*myDot)\n\t\t\ttti = 99999\n\n\t\t\tif relativeSpeed > 0 then tti = distance / relativeSpeed end\n\n\t\t\tif tti < nearestTti then --We record a new nearest collision threat.\n\t\t\t\tnearestCollisionPos = targetPos\n\t\t\t\tnearestTti = tti\n\t\t\t\tnearestDotTargetToMe = targetDot\n\t\t\t\tnearestDotMeToTarget = myDot\n\t\t\t\tsource = 2\n\t\t\tend\n\n\t\tend\n\tend\n\n\t--now we know the most likely near future collision...\n\n\tif source == 0 or nearestTti > AvoidanceTimeThreshold or nearestCollisionPos == nil then return false end -- we found no targets worth avoiding\n\tif DebugAIMode == true and source > 0 then I:Log(string.format(\"Collision tti %.2f\", nearestTti)) end\n\n\tAvoidPosInfo = I:GetTargetPositionInfoForPosition(0, nearestCollisionPos.x,nearestCollisionPos.y,nearestCollisionPos.z)\n\n\t--if our imminent collision is less than 1/4 of our TTI threshold away, it's critical, so we will turn harder.\n\tif nearestTti < AvoidanceTimeThreshold/4 then ttiCritical = true end\n\n\tif ttiCritical then \n\t\tCallComplexControl(I, AntiCollideCritical)\n\n\tI:LogToHud(\"AvoidingCollision\")\n\t\t\n\tif DebugAIMode then\n\t\tI:Log(\"Avoiding Collision\")\n\tend\n\tif source == 1 or source == 2 then\n\t\treturn true --We're avoiding\n\telse\n\t\treturn false  --We're safe\n\tend\nend\nend \n\n\nfunction MissileAvoidance(I)\n\t\n\tmissileRan, NumberOfWarnings = pcall(GetNumberOfWarnings, I) \n\t\t\n\tif not missileRan then \n\t\n\t\tI:Log(\"Captured GetMissileWarnings Error: \" .. NumberOfWarnings)\n\t\n\treturn \n\tend\n\t\n\tif UseMissileAvoidance == false or NumberOfWarnings == 0 then return false end -- no dodge needed \n\t\n\tPanicMissilesFound = 0\n\tUrgentMissilesFound = 0\n\tWarnedMissilesFound = 0\n\t\n\tPanicMissilePos = {}\n\tUrgentMissilePos = {}\n\tWarnedMissilePos = {}\n\n\n\tmyPos = I:GetConstructPosition()\n\tmyVel = I:GetVelocityVector()\n\tmySpeed = I:GetVelocityMagnitude()\n\n\t\n\tfor ii=0,NumberOfWarnings-1,1 do\n\n\t\tmissileInfoRan, MissileInfo = pcall(GetMissileWarnings,I, ii) \n\t\t\n\t\tif not missileInfoRan  then\n\t\t\tI:Log(\"Captured GetMissileWarnings Error: \" .. MissileInfo)\n\t\tend\n\t\t\n\t\tif MissileInfo == nil then goto continue end\n\n\tif missileInfoRan then\n\t\t\tif MissileInfo.Valid then\n\t\t\t\t\n\t\t\t\ttargetPos = MissileInfo.Position\n\t\t\t\ttargetVel = MissileInfo.Velocity\n\t\t\t\t\n\t\t\t\tMissileDirection = myPos - targetPos\n\t\t\t\tMyDirection = targetPos - myPos\n\t\t\t\t\n\t\t\t\tdistance = MyDirection.magnitude - AvoidanceRadius\n\t\t\t\ttargetSpeed = targetVel.magnitude\n\t\t\t\t\n\t\t\t\ttargetDot = Vector3.Dot(targetVel.normalized, MissileDirection.normalized)\n\t\t\t\tmyDot = Vector3.Dot(myVel.normalized, MyDirection.normalized)\n\t\t\t\t\n\t\t\t\ttti = 99999\n\t\t\t\trelativeSpeed = (targetSpeed*targetDot + mySpeed*myDot)\n\t\t\t\t\n\t\t\t\tif relativeSpeed > 0 then tti = distance / relativeSpeed end\n\t\t\t\n\n\t\t\t\tif tti < PanicTti then\n\t\t\t\t\tPanicMissilesFound = PanicMissilesFound + 1\n\t\t\t\t\ttable.insert(PanicMissilePos, targetPos)\n\t\t\t\t\t\n\t\t\t\telseif tti < UrgentTti then\n\t\t\t\t\tUrgentMissilesFound = UrgentMissilesFound + 1\n\t\t\t\t\ttable.insert(UrgentMissilePos, targetPos)\n\t\t\t\t\t\n\t\t\t\telseif tti < WarnedTti then\n\t\t\t\t\tWarnedMissilesFound = WarnedMissilesFound + 1\n\t\t\t\t\ttable.insert(WarnedMissilePos, targetPos)\n\t\t\t\tend\n\t\t\t\t\n\t\t\tend\n\t\tend\n\t\t ::continue::\n\tend\n\n\tI:Log(string.format(\"MISSILES! Panic: %.0f  Urgent: %.0f Warned: %.0f Ignored: %.0f\", PanicMissilesFound, UrgentMissilesFound, WarnedMissilesFound, NumberOfWarnings - (UrgentMissilesFound + WarnedMissilesFound)))\n\t\t\t\n\tif PanicMissilesFound + WarnedMissilesFound + UrgentMissilesFound == 0 then return false end --no missiles need avoiding.\n\t\n\tI:LogToHud(string.format(\"MISSILES! Panic: %.0f  Urgent: %.0f Warned: %.0f Ignored: %.0f\", PanicMissilesFound, UrgentMissilesFound, WarnedMissilesFound, NumberOfWarnings - (UrgentMissilesFound + WarnedMissilesFound)))\n\n\t\t\n\tif PanicMissilesFound > 0 then\n\t\tCallComplexControl(I, IsAvoidingMissilePanic)\n\telseif UrgentMissilesFound > 0 then \n\t\tCallComplexControl(I, IsAvoidingMissileUrgent) \n\telseif WarnedMissilesFound > 0 then\n\t\tCallComplexControl(I, IsAvoidingMissile)\n\telse\n\tend\n\tI:Log(\"Avoiding Missile\")\n\t\n\n\n\treturn true -- we are dodging missiles\n\n\n\nend\n\n\nfunction SetCurrentValues(I)\n\t\n\t \n\n\tSpeedCurrent = I:GetVelocityMagnitude()\n\tAltitudeCurrent = math.min(I:GetConstructPosition().y, I:GetConstructPosition().y - I:GetTerrainAltitudeForLocalPosition(0,0,0))\nend\n\n\n\n\nfunction Update(I)\n\n    UpdateRan, UpdateError = pcall(SafeUpdate,I) \n    if not UpdateRan  then\n        I:ClearLogs()\n        I:Log(\"Error In Update(I): \" .. UpdateError)\n    end\nend\n\nfunction SafeUpdate(I)\n\tI:ClearLogs()\n\t\n\t--InitAI(I)\n\tSetCurrentValues(I)\n\t\n\tif MissileAvoidance(I) then return end\n\tif AvoidCollisions(I) then return end\n\tif Jink(I) then return end\n\t\nend\n"],"BlockStringDataIds":[26],"GameVersion":"3.6.4.5","PersistentSubObjectIndex":11,"PersistentBlockIndex":76,"AuthorDetails":{"Valid":true,"ForeignBlocks":1,"CreatorId":"7885c4e1-ff75-44d7-a7f4-dfb6ba7fb5e2","ObjectId":"2f279a5c-b13a-4639-8ef9-06351b391903","CreatorReadableName":"EigenFN","HashV1":"97712a3240f369a80c9f330a92987991"},"BlockCount":634}}