Transaction
ID: b50cf82ab5...6e60
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.231 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.187 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.131 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.087 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.198 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 961,310
Total coins transferred: 0.418 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000329 ERG
Raw Transaction Data
{
"id": "b50cf82ab51e8ba719ba1cdcc3d3f911edead2d71f00dbc11faffa73e3b66e60",
"blockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"inclusionHeight": 803423,
"timestamp": 1659010971135,
"index": 9,
"globalIndex": 3635622,
"numConfirmations": 961310,
"inputs": [
{
"boxId": "1c5c3cfd9c01cf54cfba57044e0e74e5012655d42b2fe4faa6c0b13dc0dcd96d",
"value": 231000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"outputTransactionId": "7ceb3b7abe6897cdad0a37103d8706869d0025136adf38faa760e01d0352f98a",
"outputIndex": 0,
"outputGlobalIndex": 19575195,
"outputCreatedAt": 803421,
"outputSettledAt": 803423,
"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: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\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: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: 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 (((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.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 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - 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 box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(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))) && (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))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11041a0e0c0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13,7,6,6]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "0edc0174c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a",
"sigmaType": "Coll[SByte]",
"renderedValue": "74c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a"
}
}
},
{
"boxId": "2f44fe868836246b441c694d76ce6398c93bed46c6c90ae0534a2995efda92d0",
"value": 187000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"outputTransactionId": "c3bcfed89160478cbb671d81e2238810ea491972c4e678a880c613e5d0327b62",
"outputIndex": 0,
"outputGlobalIndex": 19575192,
"outputCreatedAt": 803421,
"outputSettledAt": 803423,
"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: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\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: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: 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 (((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.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 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - 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 box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(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))) && (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))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11040a060c00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,3,6,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "0ec6014a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a"
}
}
}
],
"dataInputs": [
{
"boxId": "d784a4695155744971ca98cf728f2dba2bf7449d8578550d236d7095203a779e",
"value": 1000000,
"index": 0,
"outputBlockId": "3ba42a4ca08e1382d7edcbb3caf32b0ff3b51b4b1815bb4059fc5c0a52d41369",
"outputTransactionId": "de674f60d0ac59f7d0d7aa95f595f04da83158996b7d1ddb2727275f0ec228d5",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204058150dbcba239e57f385ed8c8dd2c5074147ad314ff3e6f03bf0a5359a7b5c",
"sigmaType": "Coll[SByte]",
"renderedValue": "4058150dbcba239e57f385ed8c8dd2c5074147ad314ff3e6f03bf0a5359a7b5c"
},
"R5": {
"serializedValue": "0e20d0c53392ba569edc913afff864e6ac03e7869c05456ea7a37803a2d2653db983",
"sigmaType": "Coll[SByte]",
"renderedValue": "d0c53392ba569edc913afff864e6ac03e7869c05456ea7a37803a2d2653db983"
},
"R6": {
"serializedValue": "110580dac40980897a1480897a8092f401",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,1000000,10,1000000,2000000]"
},
"R7": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
}
}
}
],
"outputs": [
{
"boxId": "bda33da121f673923cadaac3aebbac955f909ce2cf9e4f3ba1ecb9184da7e4ed",
"transactionId": "b50cf82ab51e8ba719ba1cdcc3d3f911edead2d71f00dbc11faffa73e3b66e60",
"blockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"value": 131000000,
"index": 0,
"globalIndex": 19575207,
"creationHeight": 803421,
"settlementHeight": 803423,
"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: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\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: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: 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 (((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.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 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - 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 box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(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))) && (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))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
"address": "7VSAm3noASKDju4JU9avWrigXDpbABPRh6K5wQpbyHtAd6xpp8BjkmtztxoHvyUL7S9a5NpPpkxJq41zCmrwsfCkbpiVbGV2ZnJTCUu2ZDNPDsg2eKMnizzgeQBw8QMqTE2A55ZW39tU1qav9eZy7mtbMMhio1SC6D1zMw9qEygZinFHEHn5edcKcehUcbtGjuow7Cm4C2YM2U5z8dxvr8qF1qBSVP6P9cuPput2DMJj15CPPHybMkzMAhZdsntZx2X79KrLx6gNPA7da5y1qbadT2NtMaHt9koL6SqLiak5cVVHnem2r23ttt7Jwz5bF8Yj3QcYpuCfqapQH7nBeJhteDocEVEUSHKAY3ZjCSkPxqJ4k29YVvddA9S8sHogAdLrDD9y2MYD8sfijxnDS5rHSNdBTuS5wUobzqHWBouzseNEQSUhWPt1Titm9WNj93QCXjSQS4LmPwbQ2zc5pkzApGPcAtqwcZzj2DoM4yonPiYuTdaWs63jnGXUQRsADN4MCcUEkenBVw2zK73cZMQMpz7uPDCQksMNQWQDV91dET2jSdyKcyQcCkim9WoZHX3AHzpvPnguBF8s7cuoQYSiRv969du3Gj5N3CwSYqvLrfpErW98HwJkQm9up59TnRQLnWAj137PKsTpGAdUxwPTmg1DDDHnzCSaLAZkKD8q793FAwR74uKpWA4YfsWSgxff8vQ317t2WGwicSJo7m8mPoE6FtbgZGhBKotTCiBre3zfVWVddssZphvXjEpnXQcT8XYTdRGfk9uNoiKKwySrTGmyA4h1bcXwwcb9M7oLKk8VmSBUanyJ6JDL3TsfBgbVuoAiRd4NeMgGBMXPZs6EHbMzVac55rfMaKQkoxWa5BTfa13rnvPfZ6Ne9gCz7Tqj5Bj6SMudEBQghN6Q2AhUC21XmY2d3vMf2QDgQ7rWhsiM2kHguL3SMQ3vw1XKKksjMc9CRHDewBrs8skRGLWQaHuPkVsPQimnjHAmuS4xFyGtTy3qBNJqN3BrzHqZVE8C7N6kja6HJYPGGzdwxnCHtYXBkktRQQCgMHBbZBr5u8UR5i5DhcwUkerXmz1xk7X2fcPqKwogGNhszrv4WoiHAjJJvfkB7HMz3u6Q1T475VHehyEY6wD2QjYZSBW1sJnSVzoGmt3Xn1wmiDgXJN9HF2cVtWkkfhxRPJmjsZPNZYHDKS5qViiJwNiXtxuYNju6f2Nosntj72Hba5KqgWXLVpiFgoZsZX2iDfbkcaid7D5v9hoxahyQWjxEbCMXGfThXLCCvgFG5KvZN9wt5HNNV2ng6nRjPQ3iEzzkc9thDJVrc7DLYvfAnJGCjgrvHs6VEUdDVQj4EhxrjLJFQL6UCP6cxaVrQBaGGsq4pH1ktdTpwpHCnhrTWAXw7uBmjimTd8Nzu8Y3eq9iKfmB6jbGwAWVjbUijNgwsPS1dobsNPkvxBMuFF4FCJCQN8zYsz33yFXFvUxS5HzNEmppmvgw8s5th3KD67vxKs13PM5LJwqNkgXXGUnfkVmNqNyPVR5NQEMqFbnPc55E1dmFb6K5spBACFKAceWvVXYMv3hnk1ocCYw9WsES2Ei711EhjuZHeFUfK2y6DZtU8iyof8KeejXyAuaGHheoLhEsMSah8B9GR2hvQV77iTBWRkxRBk7avHRSau8puRvv2XTaXGj8E3LfQ7tuYxDaN9Nrp1yXSUjRRxorurxNfFSjBpxMmfC5svgDRKnsR5e9pbrgAfsTWrN9GVYnZ2Ryu8BA67SiYG7i2CUaabJAHJ8RT7FQXVPsqu9VF47q65LMazKQ9Df1tW8q8v9FRjVLWd9TNeXBNYyEZTp3h61Pc2wVGLUPskL4r1WjqQqFsAoGo4vMfPTAjMunAiUQreoRxVaEufypyg6yzkbPBwecNZ56XcMfe8QohrP19buR34zomXkeqPUmmwUQPQT2ce6qSUg4de3K21mJgX1c4kE7W2wf2DC32cdq6AipBV8UURRSGVispXhYAKhEbS4CPMhiQ2LigLPigWjY2PivuupHbs1hFLeU1oCu1qcD4GjY2PuGAygNofrKTyYDqHqpg3bEgnYncJmZyMX9WaeCy76iAR3vNJLxU41iPgJTaeKNJyq65ygZmW2Rx8SUwm85M76M4E7CWiKZoxsfH1Dx8K8FAcMegZMGPHuSESoHJAK6auhLwwTwPD18CpxDoqG9K1tRiNRfW2g2ywjrep9ZDeEtrvtbvpV7m5QTWiyyvbRJc8jVy2tumwvwSUmJpyp95KsYohG4mXVmw3vN41fn6y9toEmyoqvVwFyrW3GkX9prix7BhqJ87CpexjTEwKptB1wznnFuAJTTR4c6f1vqqFTgkwa8y193wgdHwdwP8jaqFUHqhMeygvQhLhzshxFit3vrgk3PXdtJpXXJe2KW1ofKYWSt6Y5Mg6FiM229MAh7GLJCsTYKTARXG4o",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11041a0e0c0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13,7,6,6]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "0edc0174c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a",
"sigmaType": "Coll[SByte]",
"renderedValue": "74c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a"
}
},
"spentTransactionId": "562e47a26d67832423f4fa42793b1ce1f708ac2fa4ee75d8ad1d0b09d22974a0",
"mainChain": true
},
{
"boxId": "e8620b085562e9075330cc5a05d857ae86929638656e0d27fa9bc1032d6c6ff2",
"transactionId": "b50cf82ab51e8ba719ba1cdcc3d3f911edead2d71f00dbc11faffa73e3b66e60",
"blockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"value": 87000000,
"index": 1,
"globalIndex": 19575208,
"creationHeight": 803421,
"settlementHeight": 803423,
"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: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\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: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: 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 (((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.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 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - 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 box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(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))) && (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))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11040a060c00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,3,6,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "0ec6014a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a"
}
},
"spentTransactionId": "562e47a26d67832423f4fa42793b1ce1f708ac2fa4ee75d8ad1d0b09d22974a0",
"mainChain": true
},
{
"boxId": "dc2dd41272ff740fba71655c27a5536a8273946a1ee72e2d7389b53ee9c83318",
"transactionId": "b50cf82ab51e8ba719ba1cdcc3d3f911edead2d71f00dbc11faffa73e3b66e60",
"blockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"value": 198000000,
"index": 2,
"globalIndex": 19575209,
"creationHeight": 803421,
"settlementHeight": 803423,
"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: 3\n27: 5\n28: 7\n29: 7\n30: 9\n31: CBigInt(2)\n32: CBigInt(1)\n33: 4\n34: 2\n35: 0\n36: 1\n37: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3\n44: 1\n45: 2\n46: 1\n47: 3\n48: 1\n49: 0\n50: 1\n51: 3\n52: 2\n53: 1\n54: 3\n55: 1\n56: 0\n57: 1\n58: 1\n59: 2\n60: 1\n61: 3\n62: 0\n63: 1\n64: 1\n65: 2\n66: 1\n67: 3\n68: 0\n69: 3\n70: 1\n71: 2\n72: 1\n73: 3\n74: 1\n75: 0\n76: 1\n77: 3\n78: 2\n79: 1\n80: 3\n81: 1\n82: 0\n83: 1\n84: 1\n85: 2\n86: 1\n87: 3\n88: 0\n89: 1\n90: 1\n91: 2\n92: 1\n93: 3\n94: 2\n95: 3\n96: 2\n97: 3",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[Coll[Byte]].get\n val box4 = OUTPUTS(placeholder[Int](2))\n val coll5 = CONTEXT.headers(placeholder[Int](3)).id\n val coll6 = SELF.R9[Coll[Long]].get\n val l7 = coll6(placeholder[Int](4))\n val l8 = coll6(placeholder[Int](5))\n val l9 = placeholder[Long](6) * l7 + placeholder[Long](7) * l8\n val i10 = placeholder[Int](8)\n val coll11 = SELF.R6[Coll[Long]].get\n val l12 = coll11(placeholder[Int](9))\n val l13 = coll11(placeholder[Int](10))\n val l14 = placeholder[Long](11) * l12 + placeholder[Long](12) * l13\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll6(placeholder[Int](14))\n val l17 = placeholder[Long](15) * l15 + placeholder[Long](16) * l7 + placeholder[Long](17) * l8 + placeholder[Long](18) * l16\n val l18 = coll11(placeholder[Int](19))\n val l19 = coll11(placeholder[Int](20))\n val l20 = placeholder[Long](21) * l18 + placeholder[Long](22) * l12 + placeholder[Long](23) * l13 + placeholder[Long](24) * l19\n val bi21 = max(byteArrayToBigInt(coll5.slice(placeholder[Int](25), placeholder[Int](26))), min(l9 + i10.toLong, l14).toBigInt) + min(\n l17 + i10.toLong, l20\n ).toBigInt\n val bi22 = max(byteArrayToBigInt(coll5.slice(placeholder[Int](27), placeholder[Int](28))), min(l14 + i10.toLong, l9).toBigInt) + min(\n l20 + i10.toLong, l17\n ).toBigInt\n val bool23 = bi21 > bi22\n val bool24 = byteArrayToBigInt(coll5.slice(placeholder[Int](29), placeholder[Int](30))) % placeholder[BigInt](31) == placeholder[BigInt](32)\n val coll25 = box1.R5[Coll[Long]].get\n val bool26 = bi21 <= bi22\n val coll27 = box4.R5[Coll[Long]].get\n val l28 = box2.R6[Coll[Long]].get(placeholder[Int](33))\n val l29 = SELF.value + l28 / placeholder[Long](34)\n val l30 = INPUTS(placeholder[Int](35)).value\n val l31 = INPUTS(placeholder[Int](36)).value\n placeholder[SigmaProp](37) || sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3, box1.R6[SigmaProp].get == SELF.R4[SigmaProp].get, box1.R7[Long].get == placeholder[Long](38), box1.R8[\n Long\n ].get == placeholder[Long](39), blake2b256(box4.propositionBytes) == coll3, box4.R6[SigmaProp].get == SELF.R7[SigmaProp].get, box4.R7[\n Long\n ].get == placeholder[Long](40), box4.R8[Long].get == placeholder[Long](41), anyOf(\n Coll[Boolean](\n (\n (((bool23 && bool24) && (coll25(placeholder[Int](42)) == l18 + placeholder[Long](43))) && (coll25(placeholder[Int](44)) == l12)) && (\n coll25(placeholder[Int](45)) == l13 + placeholder[Long](46)\n )\n ) && (coll25(placeholder[Int](47)) == l19 + placeholder[Long](48)), (\n (((bool23 && (!bool24)) && (coll25(placeholder[Int](49)) == l18)) && (coll25(placeholder[Int](50)) == l12 + placeholder[Long](51))) && (\n coll25(placeholder[Int](52)) == l13 + placeholder[Long](53)\n )\n ) && (coll25(placeholder[Int](54)) == l19 + placeholder[Long](55)), (\n (((bool26 && bool24) && (coll25(placeholder[Int](56)) == l18 + placeholder[Long](57))) && (coll25(placeholder[Int](58)) == l12)) && (\n coll25(placeholder[Int](59)) == l13 + placeholder[Long](60)\n )\n ) && (coll25(placeholder[Int](61)) == l19), (\n (((bool26 && (!bool24)) && (coll25(placeholder[Int](62)) == l18)) && (coll25(placeholder[Int](63)) == l12 + placeholder[Long](64))) && (\n coll25(placeholder[Int](65)) == l13 + placeholder[Long](66)\n )\n ) && (coll25(placeholder[Int](67)) == l19)\n )\n ), anyOf(\n Coll[Boolean](\n (\n (((bool26 && bool24) && (coll27(placeholder[Int](68)) == l15 + placeholder[Long](69))) && (coll27(placeholder[Int](70)) == l7)) && (\n coll27(placeholder[Int](71)) == l8 + placeholder[Long](72)\n )\n ) && (coll27(placeholder[Int](73)) == l16 + placeholder[Long](74)), (\n (((bool26 && (!bool24)) && (coll27(placeholder[Int](75)) == l15)) && (coll27(placeholder[Int](76)) == l7 + placeholder[Long](77))) && (\n coll27(placeholder[Int](78)) == l8 + placeholder[Long](79)\n )\n ) && (coll27(placeholder[Int](80)) == l16 + placeholder[Long](81)), (\n (((bool23 && bool24) && (coll27(placeholder[Int](82)) == l15 + placeholder[Long](83))) && (coll27(placeholder[Int](84)) == l7)) && (\n coll27(placeholder[Int](85)) == l8 + placeholder[Long](86)\n )\n ) && (coll27(placeholder[Int](87)) == l16), (\n (((bool23 && (!bool24)) && (coll27(placeholder[Int](88)) == l15)) && (coll27(placeholder[Int](89)) == l7 + placeholder[Long](90))) && (\n coll27(placeholder[Int](91)) == l8 + placeholder[Long](92)\n )\n ) && (coll27(placeholder[Int](93)) == l16)\n )\n ), anyOf(\n Coll[Boolean](\n (bool23 && (box1.value == l30 + placeholder[Long](94) * l29 - placeholder[Long](95) * l28)) && (box4.value == l31), (\n bool26 && (box1.value == l30)\n ) && (box4.value == l31 + placeholder[Long](96) * l29 - placeholder[Long](97) * l28)\n )\n )\n )\n )\n )\n}",
"address": "AfDzbzABu5gKNtGzoyu54fVpgsVFugdCMJLywKyf4LxNVPREifahoxEcnjizdBog37xQw6emWhjM4fpPkka57wjEgmDYvW31MtCP8CpCGm4NBBkfVQNLjhRwqb8GNbC7D5pMkg1BYNWf8n8DENZmiNNTDSY6ib9E6wr1bxLsKWkKVxGKc73yy68PGNGw2aGk14V44AdjexsEUnY2HrudE4qT7Avj2u34ErCW98MCrfjiBwkxfqy1aY9bMz4JWoskAF9ELqn5PESQvyHDnqsXNMUzmWCsZ79Tf6kRmPscw2EA4h2umt52JTrXPdvG57c5NhhYAJRSe3GaT4LSsbM6k7QWtXwmEStN9fi5qPg24PF6wMnsa4iq3xyPdwqX36Ce56ULP7qxqBm8Xq3pALWhC5hikxbKWXsf6b2q9XWrtonX8azxtNPmX6uBGTpyDjUM5nzmy2YVYRxuFjSM1Hh76ytd4EWp2kLBPLLfweth67H3h5meYgNH3CWH6skNaysuwRZyiFjvLP9jPLVXXq7qzd5onPN66Y7vkNpYuvYW23ZaGNnV5eyPXWHBjuRiUb79CgveT3hQ6KvktR3ggwPP9U4DJEtmHK1sz83KcCkYGU44dqHnNNLHgVt1FgoG3Hio8cm66NbM1CdhyKaSiWmiV4fKuSbJ4bVyMWsnofnpYg67nEDL7mzEhyoVqKFjdTw1nwVCNrvCKAWBpqyPNXhjw8SguHMYH1WYgeRmKG26m5XJ3AFvZGduGH6TkXCjTQ9vZZioEAnr7kjW3BCZwitv92eKHjHbmTYzC4bzkgp2ppV5gX3R2aFNmDU6MfULjGUxKUjjtuGKvqRbW9exEpgd64GBWNJABVCxrwVcoz5UvzSiKmGN7gf9Lr1kaxRdbjeLyWwMyJ9rNFeKxdPuFcXz33pZRduh5jGucvxAwPmwDLNsdo2tF62UFWHR8UJLNbY7ofkPcQRChTfnTNJGrPgSbKE1XyETgCeRgibfRr5xv76vbhoKc2hDgccsdpa8wsur29rxE8WS2DmritLRn5hqb6iBKsfzt5R1E1dcJNL7cKqaq3NtXfS2mm7ZpmQbNSJeHn9nFHiynaLJw2YpiJ5B5Ux5m5v9vfTwfX6m4xTb1HyTLR43LsyrxTTNGTY3toDmhjZREDtGJSeZ1iZtqcbsfY7Lm9zvgZToNmXuz775cEPw9yNib4gqn13pKZVrL5aKH3eRgmBwRW3Z111Gx2Rbsvr7iUYvpV5DRQ1cFT3eNhyjNYojchzApvd4ER6VHgR2g8q6UDDYQLsAybQ8DtTb8ASud6zVaZswLLrYwxvPGga86mj2UU9GXCh5h4hePiM8HXSM2mJWJz1M6rHBgxQfz7Hc7iRh5fEXGmvwVvSZZWnr2kcrS58ifmsdHK9NMzR6Ay1HzsVtoBuSHs8ZLEULSyzBsW6owAZSTdqxZPmaEoekurvGN8m3vUwm2jWLS9unqzM2fzsUTUTdZdRhMwQRoWMxYjPCLdmBELeiUYdqJByFrukhxDUQAiik6vZ5g618VPFfqetC3daFfVmnKujX5ZqycVjwGEgTpVLXZqTAyVN2SC6DVZxTjsH65seDSFxDhNpe",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0edc0174c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a",
"sigmaType": "Coll[SByte]",
"renderedValue": "74c3ae70693a3532386166383a3863666139323a353a313a4d3230372e352c313531513230352c3137372c3138322e352c313839513136302c3230312c3133332e352c323235513130372c3234392c37382c3233315134392c3231332c34372e352c3138302e355134362c3134382c33362e352c3132325132372c39362c33392c36372e355135312c33392c38312e352c33362e35513131322c33342c3133362e352c34302e35513136312c34372c3138372e352c35372e35513231342c36382c3231322c39362e35513231302c3132352c3230372e352c3135315a"
},
"R6": {
"serializedValue": "11041a0e0c0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13,7,6,6]"
},
"R8": {
"serializedValue": "0ec6014a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a"
},
"R7": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R9": {
"serializedValue": "11040a060c00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,3,6,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
},
"spentTransactionId": "562e47a26d67832423f4fa42793b1ce1f708ac2fa4ee75d8ad1d0b09d22974a0",
"mainChain": true
},
{
"boxId": "a72137398d4ba75c9702790af6f5c00673097b4b3d4e1c575819b5cc2201b5e1",
"transactionId": "b50cf82ab51e8ba719ba1cdcc3d3f911edead2d71f00dbc11faffa73e3b66e60",
"blockId": "6a6c955a74513149c507b5cc690a89a035a5dd11ec05297688621beeb37bd417",
"value": 2000000,
"index": 3,
"globalIndex": 19575210,
"creationHeight": 803421,
"settlementHeight": 803423,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1a66acde09fd019ffbc469cca64efa260be8f591eda5962d9f9eeaf8a7680363",
"mainChain": true
}
],
"size": 6070,
"isUnconfirmed": false
}