Transaction
ID: 3a84a31116...d51e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.101 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.198 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.295 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 958,214
Total coins transferred: 0.306 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000366 ERG
Raw Transaction Data
{
"id": "3a84a311163fb891d19e8a54351d697838e264e8b440d1da2dedf522d0ddd51e",
"blockId": "a9db301c5de11de4c0a18454b75ecc55bc838a8e4644c287c8735fbc0c6f51b8",
"inclusionHeight": 808267,
"timestamp": 1659606938877,
"index": 6,
"globalIndex": 3682340,
"numConfirmations": 958214,
"inputs": [
{
"boxId": "87bb5b8dc75414f42f5c08877876f2fa83fdc58ba6888db0d7289f15619d4b29",
"value": 7000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "adead430e8c7fd487fa090983032933a1fe7567abf1fb92ab45de92ad64c66d9",
"outputTransactionId": "a24bef361e651dc63b46f974a64f24b9ec905fd67fa5e8885da99b941dac4fbd",
"outputIndex": 0,
"outputGlobalIndex": 19831234,
"outputCreatedAt": 808256,
"outputSettledAt": 808258,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "4858f2aff39f77a2ece8f320a61f0f393ba45aa197f1c2cef860a8df8e4d8c60",
"value": 101000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "adead430e8c7fd487fa090983032933a1fe7567abf1fb92ab45de92ad64c66d9",
"outputTransactionId": "a24bef361e651dc63b46f974a64f24b9ec905fd67fa5e8885da99b941dac4fbd",
"outputIndex": 1,
"outputGlobalIndex": 19831235,
"outputCreatedAt": 808256,
"outputSettledAt": 808258,
"ergoTree": "108d0104000e203aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a0402058092f401040204000502040801000100040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400040004000402040404060400040204040406050205040400050404000500050001000402040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b0404040005d00f0580897a04020400040005040402040201000100050005000404040205d00f0580897a04000504040004020404040604000500050005000100010001000500050004000504040005040502010005000404040404060500050004000504040204000e2025ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d19010400040004020100010001000504040605d00f0580897a04000404040404040400040005040400050005000100010001000502040804040400050604000502050404000402040404060402050604000502050404000402040404060100010001000506050005000400050405000500040005040100d81fd601b2db6501fe730000d602e4c6a70608d6037301d604e4c672010611d605b27204730200d6069a73037205d607d9010704d801d609b2a57207009593cbc27209e4c67201040ed801d60adb630872099593b1720a7304d801d60bb2720a730500edededededededed938c720b017203928c720b027306e6c67209040e93b1e4c6720905117307e6c672090608e6c672090705e6c672090805e6c67209090592c17209720673087309d608da720701730ad609d0730bd60ac1a7d60bb27204730c00d60ce4c6a70705d60de4c6a70805d60eb2a5730d00d60fdb6308720ed610e4c6a7040ed611e4c6a70511d612b27211730e00d613b27211730f00d614b27211731000d615b27211731100d616e4c6a70905d617c1720ed618d9011804d801d61ae4c6b2a57218000511ededed93b2721a731200721293b2721a731300721393b2721a731400721493b2721a7315007215d619937217720ad61a95ed7208ec93720c731693720c7317ededededededed7219938cb2720f73180002731993e4c6720e040e7210da721801731a93e4c6720e0608720293e4c6720e0705731b93e4c6720e0805731c93e4c6720e09057216731dd61bda720701731ed61c93e4c6720e040e7210d61db2a5731f00d61e93c2721d7209d61fb1a5ea02d1938cb2db63087201732000017321eb02ea027202d1ecececec95edef720891b1a57322d802d620b2a5732300d621a29d9c720a720b732473259593c272207209d801d622db63087220ededededed93b172227326938cb27222732700017203938cb2722273280002732992c17220722193c2b2a5732a00d0720292c1b2a5732b009999720a72217205732c732d95eded720893720c732e93720d732f9591b1a57330d803d620b2a5733100d621c1720ed62299720a72219593c272207209ededededededededed92c17220a29d9ca272227222720b733273339272217206938cb2720f73340002733593e4c6720e040e7210dad9012304d801d625e4c6b2a57223000511ededed93b27225733600721293b27225733700721393b27225733800721493b27225733900721501733a93e4c6720e0608720293e4c6720e0705733b93e4c6720e0805733c93e4c6720e0905721693720d733d733e733f734095eded720893720c734193720d7342ededededededed937217720a938cb2720f73430002734493e4c6720e040e7210da721801734593e4c6720e0608720292e4c6720e0805720693e4c6720e09057216d801d620e4c6720e0705ec9372207346ed937220734790e4c6720e080599720a72067348721a95eded7208ef721b93720c73499591721f734a95721eededededededededededed7219721c93b2e4c6720e0511734b00721493b2e4c6720e0511734c00721593e4c6720e0608720293e4c6720e0705734d93e4c6720e0805734e93e4c6720e09057216938cb2720f734f0002735093b1db6308721d7351938cb2db6308721d735200017353d801d620e4c6720e0511928cb2db6308721d73540002999ab27220735500b272207356009a72127213735773587359d1ecec95eded720893720c735aef721a9591721f735b95721eededededededededededed92c1721da29d9c720d720b735c735d93b1db6308721d735e93c2b2a5735f00d0720292c1b2a5736000720d93b1db6308b2a573610073627219938cb2720f736300027364721cda721801736593e4c6720e0705736693e4c6720e0805736793e4c6720e0905721673687369736a95eded7208721b93720c736b9592721f736cd801d620b2a5736d009593cbc27220e4c67201050eecededededededededededededed721cda721801736e93e4c6720e0608720293e4c6720e0705736f93e4c6720e0805720d93e4c6720e09057216938cb2720f73700002737192c17220999c7372720d720593e4c672200408720293e4c672200505721693b2e4c672200611737300721293b2e4c672200611737400721393b2e4c672200611737500721493b2e4c6722006117376007215ededededededededededededed93e4c6721d040e7210da721801737793e4c6721d0608720293e4c6721d0705737893e4c6721d0805720d93e4c6721d09057216938cb2db6308721d73790002737a92c17220999c737b720d720593e4c672200708720293e4c672200805721693b2e4c672200911737c00721293b2e4c672200911737d00721393b2e4c672200911737e00721493b2e4c672200911737f00721573800173810173820195eded7208721b93720c738301ecededededed721c93e4c6720e0608720293e4c6720e070573840193e4c6720e080573850193e4c6720e09057216938cb2720f7386010002738701ededededed93e4c6721d040e721093e4c6721d0608720293e4c6721d070573880193e4c6721d080573890193e4c6721d09057216938cb2db6308721d738a010002738b01738c01",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "050c",
"sigmaType": "SLong",
"renderedValue": "6"
},
"R4": {
"serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
}
}
},
{
"boxId": "6a9054917835c6cd0b17daee2c480b60617bf252d40b4d59e78eb47d5e1f0fc1",
"value": 198000000,
"index": 2,
"spendingProof": "e5ffa5f60775003314cb9b609f827d37b3dbce0861999c99bffb0f03d2bc86120310a08c4756c4f6613dd494ee0b4b782300ee5b78af6307",
"outputBlockId": "adead430e8c7fd487fa090983032933a1fe7567abf1fb92ab45de92ad64c66d9",
"outputTransactionId": "a24bef361e651dc63b46f974a64f24b9ec905fd67fa5e8885da99b941dac4fbd",
"outputIndex": 2,
"outputGlobalIndex": 19831236,
"outputCreatedAt": 808256,
"outputSettledAt": 808258,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 1\n5: 2\n6: 10\n7: 10\n8: 4500\n9: 1\n10: 2\n11: 10\n12: 10\n13: 0\n14: 3\n15: 10\n16: 5\n17: 4\n18: 8\n19: 0\n20: 3\n21: 10\n22: 5\n23: 4\n24: 8\n25: 1\n26: 5\n27: 5\n28: 9\n29: 1\n30: 2\n31: 0\n32: 1\n33: 3\n34: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n35: 3\n36: 2\n37: 0\n38: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n39: 0\n40: 0\n41: false\n42: 0\n43: 0\n44: false\n45: 2\n46: 2\n47: 2\n48: 2\n49: 2\n50: 1\n51: 0\n52: 0\n53: 0\n54: false\n55: 3\n56: 1\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 1\n63: 2\n64: 1\n65: 3\n66: 1\n67: 0\n68: 1\n69: 2\n70: 1\n71: 3\n72: false\n73: 0\n74: 1\n75: 2\n76: 1\n77: 3\n78: 1\n79: 0\n80: 1\n81: 2\n82: 1\n83: 3\n84: false\n85: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Byte]].get\n val prop4 = SELF.R4[SigmaProp].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val prop6 = SELF.R7[SigmaProp].get\n val coll7 = CONTEXT.headers(placeholder[Int](3)).id\n val coll8 = SELF.R9[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = coll8(placeholder[Int](5))\n val l11 = placeholder[Long](6) * l9 + placeholder[Long](7) * l10\n val i12 = placeholder[Int](8)\n val coll13 = SELF.R6[Coll[Long]].get\n val l14 = coll13(placeholder[Int](9))\n val l15 = coll13(placeholder[Int](10))\n val l16 = placeholder[Long](11) * l14 + placeholder[Long](12) * l15\n val l17 = coll8(placeholder[Int](13))\n val l18 = coll8(placeholder[Int](14))\n val l19 = placeholder[Long](15) * l17 + placeholder[Long](16) * l9 + placeholder[Long](17) * l10 + placeholder[Long](18) * l18\n val l20 = coll13(placeholder[Int](19))\n val l21 = coll13(placeholder[Int](20))\n val l22 = placeholder[Long](21) * l20 + placeholder[Long](22) * l14 + placeholder[Long](23) * l15 + placeholder[Long](24) * l21\n val bi23 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](25), placeholder[Int](26))), min(l11 + i12.toLong, l16).toBigInt) + min(\n l19 + i12.toLong, l22\n ).toBigInt\n val bi24 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](27), placeholder[Int](28))), min(l16 + i12.toLong, l11).toBigInt) + min(\n l22 + i12.toLong, l19\n ).toBigInt\n val bool25 = bi23 > bi24\n val coll26 = box1.R6[Coll[Long]].get\n val l27 = coll26(placeholder[Int](29))\n val l28 = SELF.value + l27 / placeholder[Long](30)\n val l29 = INPUTS(placeholder[Int](31)).value\n val l30 = INPUTS(placeholder[Int](32)).value\n val bool31 = bi23 <= bi24\n val bool32 = OUTPUTS.size > placeholder[Int](33)\n val coll33 = placeholder[Coll[Byte]](34)\n val l34 = coll26(placeholder[Int](35))\n val l35 = coll26(placeholder[Int](36))\n val opt36 = box2.R5[Coll[Long]]\n val opt37 = box5.R5[Coll[Long]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](39))) && (box2.R8[Long].get == placeholder[Long](40))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](41) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](42))) && (box5.R8[Long].get == placeholder[Long](43))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](44) }, anyOf(\n Coll[Boolean](\n (bool25 && (box2.value == l29 + placeholder[Long](45) * l28 - placeholder[Long](46) * l27)) && (box5.value == l30), (\n bool31 && (box2.value == l29)\n ) && (box5.value == l30 + placeholder[Long](47) * l28 - placeholder[Long](48) * l27)\n )\n ), if (bool32) {(\n val box38 = OUTPUTS(placeholder[Int](49))\n (\n ((box38.propositionBytes == prop4.propBytes) && (box38.tokens.size == placeholder[Int](50))) && (box38.tokens(placeholder[Int](51))._1 == coll33)\n ) && ((bool25 && (box38.tokens(placeholder[Int](52))._2 == l34)) || (bool31 && (box38.tokens(placeholder[Int](53))._2 == l35)))\n )} else { placeholder[Boolean](54) }, if (bool32) {(\n val box38 = OUTPUTS(placeholder[Int](55))\n (\n ((box38.propositionBytes == prop6.propBytes) && (box38.tokens.size == placeholder[Int](56))) && (box38.tokens(placeholder[Int](57))._1 == coll33)\n ) && ((bool25 && (box38.tokens(placeholder[Int](58))._2 == l35)) || (bool31 && (box38.tokens(placeholder[Int](59))._2 == l34)))\n )} else { placeholder[Boolean](60) }, if (opt36.isDefined) {(\n val coll38 = opt36.get\n anyOf(\n Coll[Boolean](\n (\n ((bool25 && (coll38(placeholder[Int](61)) == l20)) && (coll38(placeholder[Int](62)) == l14)) && (\n coll38(placeholder[Int](63)) == l15 + placeholder[Long](64)\n )\n ) && (coll38(placeholder[Int](65)) == l21 + placeholder[Long](66)), (\n ((bool31 && (coll38(placeholder[Int](67)) == l20)) && (coll38(placeholder[Int](68)) == l14)) && (\n coll38(placeholder[Int](69)) == l15 + placeholder[Long](70)\n )\n ) && (coll38(placeholder[Int](71)) == l21)\n )\n )\n )} else { placeholder[Boolean](72) }, if (opt37.isDefined) {(\n val coll38 = opt37.get\n anyOf(\n Coll[Boolean](\n (\n ((bool31 && (coll38(placeholder[Int](73)) == l17)) && (coll38(placeholder[Int](74)) == l9)) && (\n coll38(placeholder[Int](75)) == l10 + placeholder[Long](76)\n )\n ) && (coll38(placeholder[Int](77)) == l18 + placeholder[Long](78)), (\n ((bool25 && (coll38(placeholder[Int](79)) == l17)) && (coll38(placeholder[Int](80)) == l9)) && (\n coll38(placeholder[Int](81)) == l10 + placeholder[Long](82)\n )\n ) && (coll38(placeholder[Int](83)) == l18)\n )\n )\n )} else { placeholder[Boolean](84) }\n )\n )\n ) || placeholder[SigmaProp](85)\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R6": {
"serializedValue": "110402020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,0]"
},
"R8": {
"serializedValue": "050c",
"sigmaType": "SLong",
"renderedValue": "6"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "110402020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,1]"
},
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
}
}
}
],
"dataInputs": [
{
"boxId": "ba677c0dfa5058b47f58776fb8b5a8497a625e3fe73b0edd08bc1695d59522c2",
"value": 1000000,
"index": 0,
"outputBlockId": "3c942199ffb3c800c44b57d7e7df24181e79f0887f17d311f6fba050b6803974",
"outputTransactionId": "23a5e0ed1b9113861d329096892797d7462e11b279e95b11a3181eb089e6bb77",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a",
"sigmaType": "Coll[SByte]",
"renderedValue": "77e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a"
},
"R5": {
"serializedValue": "0e208f8f54fbee2fe54702d760d1786e1a51c00be9580e7a7a9ce15a5cbe9797c0e8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8f8f54fbee2fe54702d760d1786e1a51c00be9580e7a7a9ce15a5cbe9797c0e8"
},
"R6": {
"serializedValue": "1104148092f4010206",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3]"
}
}
}
],
"outputs": [
{
"boxId": "bdb615b5c5734c27cd3cec71c117fd69b3c04932dabcb9cceb38f643e2f8297c",
"transactionId": "3a84a311163fb891d19e8a54351d697838e264e8b440d1da2dedf522d0ddd51e",
"blockId": "a9db301c5de11de4c0a18454b75ecc55bc838a8e4644c287c8735fbc0c6f51b8",
"value": 7000000,
"index": 0,
"globalIndex": 19831825,
"creationHeight": 808264,
"settlementHeight": 808267,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020400",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "f53ac122fe915813c3ef04e5e4b419628dc2610cf32ae42ee1cd211a006fbc61",
"mainChain": true
},
{
"boxId": "a5673b12c92f47e21a27ab85dafef53857f2101c92fffde66ec98f57ca648c4a",
"transactionId": "3a84a311163fb891d19e8a54351d697838e264e8b440d1da2dedf522d0ddd51e",
"blockId": "a9db301c5de11de4c0a18454b75ecc55bc838a8e4644c287c8735fbc0c6f51b8",
"value": 295000000,
"index": 1,
"globalIndex": 19831826,
"creationHeight": 808264,
"settlementHeight": 808267,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
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"assets": [
{
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"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,2,1]"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
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"sigmaType": "SLong",
"renderedValue": "6"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
}
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},
{
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"value": 1000000,
"index": 2,
"globalIndex": 19831827,
"creationHeight": 808264,
"settlementHeight": 808267,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
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{
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"index": 0,
"amount": 1,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
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"additionalRegisters": {},
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{
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"value": 1000000,
"index": 3,
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"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
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{
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"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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{
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"spentTransactionId": "14b3f99c17d76c2fdc66e6661695cbfaccd94f1de8a08ee49cd77dbc247d99ca",
"mainChain": true
}
],
"size": 5466,
"isUnconfirmed": false
}