Transaction
ID: ba9922e2d3...c2af
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00209296 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.51358768 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00209296 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.51248768 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 47,077
Total coins transferred: 0.51568064 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000204 ERG
Raw Transaction Data
{
"id": "ba9922e2d34cf37b7bf3c16ba9defb91e9edb58699733343704c189a4e87c2af",
"blockId": "5d46fd8b7526b424644d5cebb882e13ab8973af9b56d7d2372a2ca973fc40aca",
"inclusionHeight": 1718190,
"timestamp": 1770639367781,
"index": 5,
"globalIndex": 10275753,
"numConfirmations": 47077,
"inputs": [
{
"boxId": "f07d7c751c9b1872d05aa76aae3406afe35eeed975ee842eb8add1047968de09",
"value": 2092960,
"index": 0,
"spendingProof": null,
"outputBlockId": "3c591f3e8722bd345425178bd8e81b2d20ade352c4fcc922d3bde382ef20c8f9",
"outputTransactionId": "571ac5846d120876d774ffa68c179009e6698c7d83d1855a3d912d63adb92174",
"outputIndex": 0,
"outputGlobalIndex": 53477206,
"outputCreatedAt": 1718183,
"outputSettledAt": 1718187,
"ergoTree": "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",
"ergoTreeConstants": "0: 8\n1: Coll(45,-126,27,3,-30,-34,114,118,-69,-21,-77,-1,65,-20,55,79,-99,110,-38,67,100,97,-111,76,1,38,-126,-49,100,95,-92,-54)\n2: 0\n3: 2\n4: 0\n5: Coll(122,-94,-75,-37,-122,16,-18,-68,-23,35,110,21,-55,109,-47,84,-91,113,115,65,96,4,98,-91,-79,-37,114,2,-73,30,-45,38)\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 4\n12: -1\n13: false\n14: true\n15: 1\n16: 3\n17: 5\n18: 6\n19: 7\n20: 0\n21: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n22: 0\n23: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n24: Coll(-90,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-39)\n25: true\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 0\n35: 1\n36: 0\n37: 8\n38: 30\n39: 0\n40: 1\n41: 0\n42: 1\n43: 2\n44: 3\n45: 4\n46: 5\n47: 0\n48: 6\n49: 0\n50: 7\n51: false\n52: false\n53: false\n54: 1\n55: 1\n56: 1\n57: 1\n58: 0\n59: 5\n60: 1\n61: 10\n62: -1\n63: 1\n64: 0\n65: -1\n66: 1\n67: 1\n68: 0\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 5\n77: 6\n78: 7\n79: 8\n80: 0\n81: 0\n82: 1\n83: 2\n84: 2\n85: 3\n86: 3\n87: 30\n88: 5\n89: 4\n90: false\n91: false\n92: false\n93: false\n94: false\n95: true\n96: false\n97: 0\n98: Coll(-34,-95,53,-55,103,102,9,81,53,114,-127,-84,25,-103,-109,107,-112,126,-39,-83,-33,-115,43,-82,55,114,26,-29,53,126,107,-22)\n99: 1\n100: 0\n101: 0\n102: 1\n103: 0\n104: 1\n105: 2\n106: 3\n107: 4\n108: 5\n109: 6\n110: 7\n111: 8\n112: false\n113: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val coll10 = CONTEXT.dataInputs\n val l11 = coll3(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n val coll15 = coll10.filter({(box15: Box) =>\n val opt17 = box15.R4[Coll[Byte]]\n (opt17.isDefined && (opt17.get == box13.R7[Coll[Byte]].get)) && (blake2b256(box15.propositionBytes) == placeholder[Coll[Byte]](5))\n })\n if (coll15.size > placeholder[Int](6)) {(\n val l16 = coll15.fold(coll15(placeholder[Int](7)), {(tuple16: (Box, Box)) =>\n val box18 = tuple16._2\n val box19 = tuple16._1\n if (box18.creationInfo._1 < box19.creationInfo._1) { box18 } else { box19 }\n }).creationInfo._1.toLong\n val l17 = l12 + placeholder[Long](8)\n if (l16 < l17) { l17 } else { l16 }\n )} else { l11 }\n }\n val coll14 = SELF.R9[Coll[Coll[Byte]]].get\n val coll15 = coll14(placeholder[Int](9))\n val func16 = {(box16: Box) =>\n box16.tokens.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll15 }).fold(\n placeholder[Long](10), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }\n )\n }\n val l17 = coll3(placeholder[Int](11))\n val coll18 = SELF.R5[Coll[Byte]].get\n val coll19 = tuple8._1\n val func20 = {(box20: Box) => box20.R9[Coll[Long]].get.fold((placeholder[Long](12), placeholder[Boolean](13)), {(tuple22: ((Long, Boolean), Long)) =>\n val tuple24 = tuple22._1\n val l25 = tuple22._2\n if (tuple24._2) { tuple24 } else { if (blake2b256(box20.R7[Coll[Byte]].get.append(coll18).append(longToByteArray(l25)).append(box20.R8[Coll[Byte]].get).append(box20.R4[Coll[Byte]].get).append(coll19)) == box20.R5[Coll[Byte]].get) { (l25, placeholder[Boolean](14)) } else { tuple24 } }\n }) }\n val l21 = coll3(placeholder[Int](15))\n val coll22 = SELF.R7[Coll[Coll[Byte]]].get\n val l23 = coll3(placeholder[Int](16))\n val l24 = coll3(placeholder[Int](17))\n val l25 = coll3(placeholder[Int](18))\n val l26 = coll3(placeholder[Int](19))\n val func27 = {(bool27: Boolean) => if (bool5 && (coll10.size > placeholder[Int](20))) {(\n val coll29 = coll10.filter({(box29: Box) => (((((blake2b256(box29.propositionBytes) == placeholder[Coll[Byte]](21)) && (box29.tokens.size > placeholder[Int](22))) && (box29.R4[Coll[Byte]].get == if (bool27) { placeholder[Coll[Byte]](23) } else { placeholder[Coll[Byte]](24) })) && (box29.R5[Coll[Byte]].get == coll9)) && if (bool27) { box29.R6[Boolean].get && (!box29.R8[Boolean].get) } else { placeholder[Boolean](25) }) && coll22.exists({(coll31: Coll[Byte]) => coll31 == box29.tokens(placeholder[Int](26))._1 }) })\n val coll30 = coll29.map({(box30: Box) => box30.tokens(placeholder[Int](27))._1 })\n val i31 = coll29.size\n val i32 = coll22.size\n val coll33 = OUTPUTS.filter({(box33: Box) => box33.propositionBytes == SELF.propositionBytes })\n if ((coll30.indices.forall({(i34: Int) => !coll30.slice(i34 + placeholder[Int](28), i31).exists({(coll36: Coll[Byte]) => coll36 == coll30(i34) }) }) && (i31 >= if (i32 == placeholder[Int](29)) { placeholder[Int](30) } else { i32 / placeholder[Int](31) + placeholder[Int](32) })) && (coll33.size == placeholder[Int](33))) {(\n val box34 = coll33(placeholder[Int](34))\n val coll35 = INPUTS.filter({(box35: Box) => (blake2b256(box35.propositionBytes) == coll6) && (box35.R5[Coll[Byte]].get == coll9) })\n if ((box34.R6[(Coll[Byte], Coll[Byte])].get._2 == Coll[Byte]()) && (coll35.size == placeholder[Int](35))) { ((func16(box34) >= func16(SELF) + func16(coll35(placeholder[Int](36)))) && (box34.R8[Coll[Long]].get(placeholder[Int](37)) >= l2 + placeholder[Long](38))) && ((((((((((((((box34.tokens(placeholder[Int](39))._1 == coll7) && (box34.R4[Int].get == i1)) && (i1 == placeholder[Int](40))) && (box34.R5[Coll[Byte]].get == coll18)) && (box34.R7[Coll[Coll[Byte]]].get == coll22)) && (box34.R8[Coll[Long]].get(placeholder[Int](41)) == l12)) && (box34.R8[Coll[Long]].get(placeholder[Int](42)) == l21)) && (box34.R8[Coll[Long]].get(placeholder[Int](43)) == l11)) && (box34.R8[Coll[Long]].get(placeholder[Int](44)) == l23)) && (box34.R8[Coll[Long]].get(placeholder[Int](45)) == l17)) && (box34.R8[Coll[Long]].get(placeholder[Int](46)) == l24 + if (bool27) { l25 } else { placeholder[Long](47) })) && (box34.R8[Coll[Long]].get(placeholder[Int](48)) == if (bool27) { placeholder[Long](49) } else { l25 })) && (box34.R8[Coll[Long]].get(placeholder[Int](50)) == l26)) && (box34.R9[Coll[Coll[Byte]]].get == coll14)) } else { placeholder[Boolean](51) }\n )} else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) } }\n sigmaProp(i1 == placeholder[Int](54)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](55))) && (OUTPUTS.size > placeholder[Int](56))) {(\n val coll28 = coll10.filter({(box28: Box) => ((blake2b256(box28.propositionBytes) == coll6) && (box28.R6[Coll[Byte]].get == coll7)) && (box28.R5[Coll[Byte]].get != coll9) })\n if (coll28.size == placeholder[Int](57)) {(\n val box29 = coll28(placeholder[Int](58))\n val l30 = func13(box29)\n if ((((((blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7)) && (box29.creationInfo._1.toLong < l11)) && (l30 < l11 - placeholder[Long](59) - placeholder[Long](60))) && (func16(box29) >= l17)) && (box29.R9[Coll[Long]].get.size.toLong <= placeholder[Long](61))) {(\n val l31 = func20(box29)._1\n val bool32 = l31 != placeholder[Long](62)\n if (bool32) {(\n val coll33 = Coll[Byte]()\n val coll34 = if (coll9 == coll33) { box29.R5[Coll[Byte]].get } else {(\n val coll34 = coll10.filter({(box34: Box) => ((blake2b256(box34.propositionBytes) == coll6) && (box34.R5[Coll[Byte]].get == coll9)) && (box34.R6[Coll[Byte]].get == coll7) })\n if (coll34.size == placeholder[Int](63)) {(\n val box35 = coll34(placeholder[Int](64))\n val tuple36 = func20(box35)\n val l37 = tuple36._1\n if (tuple36._2 && (l37 != placeholder[Long](65))) {(\n val l38 = l31 * placeholder[Long](66) + l21 * l11 - l30\n val l39 = func13(box35)\n val l40 = l37 * placeholder[Long](67) + l21 * l11 - l39\n if ((l38 > l40) || ((l38 == l40) && (l30 < l39))) { box29.R5[Coll[Byte]].get } else { coll33 }\n )} else { coll33 }\n )} else { coll33 }\n )}\n if ((coll34 != coll33) && (coll34 != coll9)) {(\n val box35 = OUTPUTS(placeholder[Int](68))\n ((((((((((((((((((((((func16(box35) >= func16(SELF)) && (box35.tokens(placeholder[Int](69))._1 == coll7)) && (box35.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box35.R5[Coll[Byte]].get == coll18)) && (box35.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)) && (box35.R6[(Coll[Byte], Coll[Byte])].get._2 == coll34)) && (box35.R7[Coll[Coll[Byte]]].get == coll22)) && (box35.R8[Coll[Long]].get(placeholder[Int](71)) == l12)) && (box35.R8[Coll[Long]].get(placeholder[Int](72)) == l21)) && (box35.R8[Coll[Long]].get(placeholder[Int](73)) == l11)) && (box35.R8[Coll[Long]].get(placeholder[Int](74)) == l23)) && (box35.R8[Coll[Long]].get(placeholder[Int](75)) == l17)) && (box35.R8[Coll[Long]].get(placeholder[Int](76)) == l24)) && (box35.R8[Coll[Long]].get(placeholder[Int](77)) == l25)) && (box35.R8[Coll[Long]].get(placeholder[Int](78)) == l26)) && (box35.R8[Coll[Long]].get(placeholder[Int](79)) == l4)) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](80)) == coll14(placeholder[Int](81)))) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](82)) == coll15)) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](83)) == coll14(placeholder[Int](84)))) && ((box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](85)) == coll14(placeholder[Int](86))) || (l4 - placeholder[Long](87) + placeholder[Long](88) < l2))) && (box35.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](89))) && bool32\n )} else { placeholder[Boolean](90) }\n )} else { placeholder[Boolean](91) }\n )} else { placeholder[Boolean](92) }\n )} else { placeholder[Boolean](93) }\n )} else { placeholder[Boolean](94) }) || sigmaProp(func27(placeholder[Boolean](95))) || sigmaProp(func27(placeholder[Boolean](96))) || if ((l2 >= l4) && (\n OUTPUTS.size > placeholder[Int](97)\n )) {(\n val coll28 = OUTPUTS.filter({(box28: Box) => blake2b256(box28.propositionBytes) == placeholder[Coll[Byte]](98) })\n if (coll28.size == placeholder[Int](99)) {(\n val box29 = coll28(placeholder[Int](100))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box29.tokens(placeholder[Int](101))._1 == coll7) && (box29.R4[Int].get == i1)) && (i1 == placeholder[Int](102))) && (\n box29.R5[Coll[Byte]].get == coll18\n )\n ) && (box29.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)\n ) && (box29.R6[(Coll[Byte], Coll[Byte])].get._2 == coll9)\n ) && (box29.R7[Coll[Coll[Byte]]].get == coll22)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](103)) == l12)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](104)) == l21)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](105)) == l11)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](106)) == l23)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](107)) == l17)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](108)) == l24)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](109)) == l25)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](110)) == l26)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](111)) == l4)\n ) && (box29.R9[Coll[Coll[Byte]]].get == coll14)\n ) && (func16(box29) >= func16(SELF))\n )\n )} else { sigmaProp(placeholder[Boolean](112)) }\n )} else { sigmaProp(placeholder[Boolean](113)) }\n}",
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"ergoTree": "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",
"ergoTreeConstants": "0: 8\n1: Coll(45,-126,27,3,-30,-34,114,118,-69,-21,-77,-1,65,-20,55,79,-99,110,-38,67,100,97,-111,76,1,38,-126,-49,100,95,-92,-54)\n2: 0\n3: 2\n4: 0\n5: Coll(122,-94,-75,-37,-122,16,-18,-68,-23,35,110,21,-55,109,-47,84,-91,113,115,65,96,4,98,-91,-79,-37,114,2,-73,30,-45,38)\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 4\n12: -1\n13: false\n14: true\n15: 1\n16: 3\n17: 5\n18: 6\n19: 7\n20: 0\n21: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n22: 0\n23: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n24: Coll(-90,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-39)\n25: true\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 0\n35: 1\n36: 0\n37: 8\n38: 30\n39: 0\n40: 1\n41: 0\n42: 1\n43: 2\n44: 3\n45: 4\n46: 5\n47: 0\n48: 6\n49: 0\n50: 7\n51: false\n52: false\n53: false\n54: 1\n55: 1\n56: 1\n57: 1\n58: 0\n59: 5\n60: 1\n61: 10\n62: -1\n63: 1\n64: 0\n65: -1\n66: 1\n67: 1\n68: 0\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 5\n77: 6\n78: 7\n79: 8\n80: 0\n81: 0\n82: 1\n83: 2\n84: 2\n85: 3\n86: 3\n87: 30\n88: 5\n89: 4\n90: false\n91: false\n92: false\n93: false\n94: false\n95: true\n96: false\n97: 0\n98: Coll(-34,-95,53,-55,103,102,9,81,53,114,-127,-84,25,-103,-109,107,-112,126,-39,-83,-33,-115,43,-82,55,114,26,-29,53,126,107,-22)\n99: 1\n100: 0\n101: 0\n102: 1\n103: 0\n104: 1\n105: 2\n106: 3\n107: 4\n108: 5\n109: 6\n110: 7\n111: 8\n112: false\n113: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val coll10 = CONTEXT.dataInputs\n val l11 = coll3(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n val coll15 = coll10.filter({(box15: Box) =>\n val opt17 = box15.R4[Coll[Byte]]\n (opt17.isDefined && (opt17.get == box13.R7[Coll[Byte]].get)) && (blake2b256(box15.propositionBytes) == placeholder[Coll[Byte]](5))\n })\n if (coll15.size > placeholder[Int](6)) {(\n val l16 = coll15.fold(coll15(placeholder[Int](7)), {(tuple16: (Box, Box)) =>\n val box18 = tuple16._2\n val box19 = tuple16._1\n if (box18.creationInfo._1 < box19.creationInfo._1) { box18 } else { box19 }\n }).creationInfo._1.toLong\n val l17 = l12 + placeholder[Long](8)\n if (l16 < l17) { l17 } else { l16 }\n )} else { l11 }\n }\n val coll14 = SELF.R9[Coll[Coll[Byte]]].get\n val coll15 = coll14(placeholder[Int](9))\n val func16 = {(box16: Box) =>\n box16.tokens.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll15 }).fold(\n placeholder[Long](10), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }\n )\n }\n val l17 = coll3(placeholder[Int](11))\n val coll18 = SELF.R5[Coll[Byte]].get\n val coll19 = tuple8._1\n val func20 = {(box20: Box) => box20.R9[Coll[Long]].get.fold((placeholder[Long](12), placeholder[Boolean](13)), {(tuple22: ((Long, Boolean), Long)) =>\n val tuple24 = tuple22._1\n val l25 = tuple22._2\n if (tuple24._2) { tuple24 } else { if (blake2b256(box20.R7[Coll[Byte]].get.append(coll18).append(longToByteArray(l25)).append(box20.R8[Coll[Byte]].get).append(box20.R4[Coll[Byte]].get).append(coll19)) == box20.R5[Coll[Byte]].get) { (l25, placeholder[Boolean](14)) } else { tuple24 } }\n }) }\n val l21 = coll3(placeholder[Int](15))\n val coll22 = SELF.R7[Coll[Coll[Byte]]].get\n val l23 = coll3(placeholder[Int](16))\n val l24 = coll3(placeholder[Int](17))\n val l25 = coll3(placeholder[Int](18))\n val l26 = coll3(placeholder[Int](19))\n val func27 = {(bool27: Boolean) => if (bool5 && (coll10.size > placeholder[Int](20))) {(\n val coll29 = coll10.filter({(box29: Box) => (((((blake2b256(box29.propositionBytes) == placeholder[Coll[Byte]](21)) && (box29.tokens.size > placeholder[Int](22))) && (box29.R4[Coll[Byte]].get == if (bool27) { placeholder[Coll[Byte]](23) } else { placeholder[Coll[Byte]](24) })) && (box29.R5[Coll[Byte]].get == coll9)) && if (bool27) { box29.R6[Boolean].get && (!box29.R8[Boolean].get) } else { placeholder[Boolean](25) }) && coll22.exists({(coll31: Coll[Byte]) => coll31 == box29.tokens(placeholder[Int](26))._1 }) })\n val coll30 = coll29.map({(box30: Box) => box30.tokens(placeholder[Int](27))._1 })\n val i31 = coll29.size\n val i32 = coll22.size\n val coll33 = OUTPUTS.filter({(box33: Box) => box33.propositionBytes == SELF.propositionBytes })\n if ((coll30.indices.forall({(i34: Int) => !coll30.slice(i34 + placeholder[Int](28), i31).exists({(coll36: Coll[Byte]) => coll36 == coll30(i34) }) }) && (i31 >= if (i32 == placeholder[Int](29)) { placeholder[Int](30) } else { i32 / placeholder[Int](31) + placeholder[Int](32) })) && (coll33.size == placeholder[Int](33))) {(\n val box34 = coll33(placeholder[Int](34))\n val coll35 = INPUTS.filter({(box35: Box) => (blake2b256(box35.propositionBytes) == coll6) && (box35.R5[Coll[Byte]].get == coll9) })\n if ((box34.R6[(Coll[Byte], Coll[Byte])].get._2 == Coll[Byte]()) && (coll35.size == placeholder[Int](35))) { ((func16(box34) >= func16(SELF) + func16(coll35(placeholder[Int](36)))) && (box34.R8[Coll[Long]].get(placeholder[Int](37)) >= l2 + placeholder[Long](38))) && ((((((((((((((box34.tokens(placeholder[Int](39))._1 == coll7) && (box34.R4[Int].get == i1)) && (i1 == placeholder[Int](40))) && (box34.R5[Coll[Byte]].get == coll18)) && (box34.R7[Coll[Coll[Byte]]].get == coll22)) && (box34.R8[Coll[Long]].get(placeholder[Int](41)) == l12)) && (box34.R8[Coll[Long]].get(placeholder[Int](42)) == l21)) && (box34.R8[Coll[Long]].get(placeholder[Int](43)) == l11)) && (box34.R8[Coll[Long]].get(placeholder[Int](44)) == l23)) && (box34.R8[Coll[Long]].get(placeholder[Int](45)) == l17)) && (box34.R8[Coll[Long]].get(placeholder[Int](46)) == l24 + if (bool27) { l25 } else { placeholder[Long](47) })) && (box34.R8[Coll[Long]].get(placeholder[Int](48)) == if (bool27) { placeholder[Long](49) } else { l25 })) && (box34.R8[Coll[Long]].get(placeholder[Int](50)) == l26)) && (box34.R9[Coll[Coll[Byte]]].get == coll14)) } else { placeholder[Boolean](51) }\n )} else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) } }\n sigmaProp(i1 == placeholder[Int](54)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](55))) && (OUTPUTS.size > placeholder[Int](56))) {(\n val coll28 = coll10.filter({(box28: Box) => ((blake2b256(box28.propositionBytes) == coll6) && (box28.R6[Coll[Byte]].get == coll7)) && (box28.R5[Coll[Byte]].get != coll9) })\n if (coll28.size == placeholder[Int](57)) {(\n val box29 = coll28(placeholder[Int](58))\n val l30 = func13(box29)\n if ((((((blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7)) && (box29.creationInfo._1.toLong < l11)) && (l30 < l11 - placeholder[Long](59) - placeholder[Long](60))) && (func16(box29) >= l17)) && (box29.R9[Coll[Long]].get.size.toLong <= placeholder[Long](61))) {(\n val l31 = func20(box29)._1\n val bool32 = l31 != placeholder[Long](62)\n if (bool32) {(\n val coll33 = Coll[Byte]()\n val coll34 = if (coll9 == coll33) { box29.R5[Coll[Byte]].get } else {(\n val coll34 = coll10.filter({(box34: Box) => ((blake2b256(box34.propositionBytes) == coll6) && (box34.R5[Coll[Byte]].get == coll9)) && (box34.R6[Coll[Byte]].get == coll7) })\n if (coll34.size == placeholder[Int](63)) {(\n val box35 = coll34(placeholder[Int](64))\n val tuple36 = func20(box35)\n val l37 = tuple36._1\n if (tuple36._2 && (l37 != placeholder[Long](65))) {(\n val l38 = l31 * placeholder[Long](66) + l21 * l11 - l30\n val l39 = func13(box35)\n val l40 = l37 * placeholder[Long](67) + l21 * l11 - l39\n if ((l38 > l40) || ((l38 == l40) && (l30 < l39))) { box29.R5[Coll[Byte]].get } else { coll33 }\n )} else { coll33 }\n )} else { coll33 }\n )}\n if ((coll34 != coll33) && (coll34 != coll9)) {(\n val box35 = OUTPUTS(placeholder[Int](68))\n ((((((((((((((((((((((func16(box35) >= func16(SELF)) && (box35.tokens(placeholder[Int](69))._1 == coll7)) && (box35.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box35.R5[Coll[Byte]].get == coll18)) && (box35.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)) && (box35.R6[(Coll[Byte], Coll[Byte])].get._2 == coll34)) && (box35.R7[Coll[Coll[Byte]]].get == coll22)) && (box35.R8[Coll[Long]].get(placeholder[Int](71)) == l12)) && (box35.R8[Coll[Long]].get(placeholder[Int](72)) == l21)) && (box35.R8[Coll[Long]].get(placeholder[Int](73)) == l11)) && (box35.R8[Coll[Long]].get(placeholder[Int](74)) == l23)) && (box35.R8[Coll[Long]].get(placeholder[Int](75)) == l17)) && (box35.R8[Coll[Long]].get(placeholder[Int](76)) == l24)) && (box35.R8[Coll[Long]].get(placeholder[Int](77)) == l25)) && (box35.R8[Coll[Long]].get(placeholder[Int](78)) == l26)) && (box35.R8[Coll[Long]].get(placeholder[Int](79)) == l4)) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](80)) == coll14(placeholder[Int](81)))) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](82)) == coll15)) && (box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](83)) == coll14(placeholder[Int](84)))) && ((box35.R9[Coll[Coll[Byte]]].get(placeholder[Int](85)) == coll14(placeholder[Int](86))) || (l4 - placeholder[Long](87) + placeholder[Long](88) < l2))) && (box35.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](89))) && bool32\n )} else { placeholder[Boolean](90) }\n )} else { placeholder[Boolean](91) }\n )} else { placeholder[Boolean](92) }\n )} else { placeholder[Boolean](93) }\n )} else { placeholder[Boolean](94) }) || sigmaProp(func27(placeholder[Boolean](95))) || sigmaProp(func27(placeholder[Boolean](96))) || if ((l2 >= l4) && (\n OUTPUTS.size > placeholder[Int](97)\n )) {(\n val coll28 = OUTPUTS.filter({(box28: Box) => blake2b256(box28.propositionBytes) == placeholder[Coll[Byte]](98) })\n if (coll28.size == placeholder[Int](99)) {(\n val box29 = coll28(placeholder[Int](100))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box29.tokens(placeholder[Int](101))._1 == coll7) && (box29.R4[Int].get == i1)) && (i1 == placeholder[Int](102))) && (\n box29.R5[Coll[Byte]].get == coll18\n )\n ) && (box29.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)\n ) && (box29.R6[(Coll[Byte], Coll[Byte])].get._2 == coll9)\n ) && (box29.R7[Coll[Coll[Byte]]].get == coll22)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](103)) == l12)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](104)) == l21)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](105)) == l11)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](106)) == l23)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](107)) == l17)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](108)) == l24)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](109)) == l25)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](110)) == l26)\n ) && (box29.R8[Coll[Long]].get(placeholder[Int](111)) == l4)\n ) && (box29.R9[Coll[Coll[Byte]]].get == coll14)\n ) && (func16(box29) >= func16(SELF))\n )\n )} else { sigmaProp(placeholder[Boolean](112)) }\n )} else { sigmaProp(placeholder[Boolean](113)) }\n}",
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"assets": [
{
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{
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],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "18e23478c54ccb0a693049db151f13e2be9e9f3622d61f63337e7059cb4099a4"
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"renderedValue": "[1718157,0,1718168,10000,2000,210000,0,50000,1718223]"
},
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},
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}
},
"spentTransactionId": "a5926997410ca3d39ce49dc5bd1d9569d42dfd329cba013324d7f7c999015c32",
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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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