Transaction
ID: 79a06c941f...5a7c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.157 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.201 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.037 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.081 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.238 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 962,780
Total coins transferred: 0.358 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000033 ERG
Raw Transaction Data
{
"id": "79a06c941f6b9ff19a4e1fe59200d1c3b247e3f22c6c7288b696bd3d69f85a7c",
"blockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"inclusionHeight": 804928,
"timestamp": 1659198774173,
"index": 23,
"globalIndex": 3649195,
"numConfirmations": 962780,
"inputs": [
{
"boxId": "6623594a10aeb5d3ce8e8f316e3c9c29cad89935d7fbfd08f6689e5231707954",
"value": 157000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"outputTransactionId": "fbed23772dffc28d9c2d481a40b215d274b3d5cc5738c89976eb493adccdbaf9",
"outputIndex": 0,
"outputGlobalIndex": 19650929,
"outputCreatedAt": 804926,
"outputSettledAt": 804928,
"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: 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: 0\n94: 3\n95: 0\n96: 1\n97: 2\n98: 0\n99: 1\n100: 2\n101: 3\n102: 1\n103: 3\n104: 0\n105: 1\n106: 2\n107: 0\n108: 1\n109: 2\n110: 3\n111: false\n112: false\n113: false\n114: 3\n115: 0\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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 i27 = OUTPUTS.size\n val box28 = OUTPUTS(placeholder[Int](30))\n val bool29 = 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 box30 = OUTPUTS(placeholder[Int](35))\n val l31 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box30.propositionBytes == coll9) {(\n val coll32 = box30.tokens\n (((((coll32.size == placeholder[Int](38)) && (coll32(placeholder[Int](39))._1 == coll3)) && (coll32(placeholder[Int](40))._2 == placeholder[Long](41))) && (box30.value >= l31)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l31 - 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 box30 = OUTPUTS(placeholder[Int](49))\n val l31 = box14.value\n val l32 = l10 - l31\n if (box30.propositionBytes == coll9) { (((((((((box30.value >= max(max(l32, l32) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l31 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](54)) == l18) && (coll35(placeholder[Int](55)) == l19)) && (coll35(placeholder[Int](56)) == l20)) && (coll35(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 l30 = box14.R7[Long].get\n (l30 == placeholder[Long](70)) || ((l30 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool26)) {\n if (i27 > placeholder[Int](74)) {\n if (box28.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box28.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box28.tokens.size == placeholder[Int](77))\n ) && (OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool25\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func24(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool29) && (l12 == placeholder[Long](90))) { if (i27 == placeholder[Int](91)) {(\n val box30 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box30.propositionBytes) == box1.R5[Coll[Byte]].get) { ((((((((((((((box14.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](93))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](94))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](95))._2 == placeholder[Long](96))) && (box30.value >= placeholder[Long](97) * l13 - l5)) && (box30.R4[SigmaProp].get == prop2)) && (box30.R5[Long].get == l22)) && (box30.R6[Coll[Long]].get(placeholder[Int](98)) == l18)) && (box30.R6[Coll[Long]].get(placeholder[Int](99)) == l19)) && (box30.R6[Coll[Long]].get(placeholder[Int](100)) == l20)) && (box30.R6[Coll[Long]].get(placeholder[Int](101)) == l21)) || ((((((((((((((box28.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](102))) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](103))) && (box28.R8[Long].get == l13)) && (box28.R9[Long].get == l22)) && (box28.tokens(placeholder[Int](104))._2 == placeholder[Long](105))) && (box30.value >= placeholder[Long](106) * l13 - l5)) && (box30.R7[SigmaProp].get == prop2)) && (box30.R8[Long].get == l22)) && (box30.R9[Coll[Long]].get(placeholder[Int](107)) == l18)) && (box30.R9[Coll[Long]].get(placeholder[Int](108)) == l19)) && (box30.R9[Coll[Long]].get(placeholder[Int](109)) == l20)) && (box30.R9[Coll[Long]].get(placeholder[Int](110)) == l21)) } else { placeholder[Boolean](111) }\n )} else { placeholder[Boolean](112) } } else { placeholder[Boolean](113) }\n ) || if ((bool8 && bool29) && (l12 == placeholder[Long](114))) {\n (\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](115))) && (\n box14.R8[Long].get == placeholder[Long](116)\n )\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](117))._2 == placeholder[Long](118))\n ) || (\n (\n (\n (((box28.R4[Coll[Byte]].get == coll16) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](119))) && (\n box28.R8[Long].get == placeholder[Long](120)\n )\n ) && (box28.R9[Long].get == l22)\n ) && (box28.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110404020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,1,1,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "7469746f753a3037303861373a6539376532663a343a313a4d3139342e352c313430513138322c3135352c3137392e352c3137372e35513137372c3230302c3135362c323035513133352c3231302c3131392e352c3139352e35513130342c3138312c39392c3136362e355139342c3135322c37362e352c3134362e355135392c3134312c33392e352c3132305132302c39392c35342e352c39365138392c39332c38392e352c36332e355139302c33342c3131302c35372e35513133302c38312c3135332c36362e35513137362c35322c3139322c36362e35513230382c38312c3230372e352c313033513230372c3132352c3139342e352c3134305a"
}
}
},
{
"boxId": "de2f1efcab054d6cc20c7280187ae368e46c190d50260b43e381614a20692367",
"value": 201000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"outputTransactionId": "b18b1ec25cf1fa32b9a4762b2bc21a05b740e345dca554756015fb915e1ab710",
"outputIndex": 0,
"outputGlobalIndex": 19650926,
"outputCreatedAt": 804926,
"outputSettledAt": 804928,
"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: 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: 0\n94: 3\n95: 0\n96: 1\n97: 2\n98: 0\n99: 1\n100: 2\n101: 3\n102: 1\n103: 3\n104: 0\n105: 1\n106: 2\n107: 0\n108: 1\n109: 2\n110: 3\n111: false\n112: false\n113: false\n114: 3\n115: 0\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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 i27 = OUTPUTS.size\n val box28 = OUTPUTS(placeholder[Int](30))\n val bool29 = 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 box30 = OUTPUTS(placeholder[Int](35))\n val l31 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box30.propositionBytes == coll9) {(\n val coll32 = box30.tokens\n (((((coll32.size == placeholder[Int](38)) && (coll32(placeholder[Int](39))._1 == coll3)) && (coll32(placeholder[Int](40))._2 == placeholder[Long](41))) && (box30.value >= l31)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l31 - 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 box30 = OUTPUTS(placeholder[Int](49))\n val l31 = box14.value\n val l32 = l10 - l31\n if (box30.propositionBytes == coll9) { (((((((((box30.value >= max(max(l32, l32) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l31 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](54)) == l18) && (coll35(placeholder[Int](55)) == l19)) && (coll35(placeholder[Int](56)) == l20)) && (coll35(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 l30 = box14.R7[Long].get\n (l30 == placeholder[Long](70)) || ((l30 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool26)) {\n if (i27 > placeholder[Int](74)) {\n if (box28.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box28.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box28.tokens.size == placeholder[Int](77))\n ) && (OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool25\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func24(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool29) && (l12 == placeholder[Long](90))) { if (i27 == placeholder[Int](91)) {(\n val box30 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box30.propositionBytes) == box1.R5[Coll[Byte]].get) { ((((((((((((((box14.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](93))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](94))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](95))._2 == placeholder[Long](96))) && (box30.value >= placeholder[Long](97) * l13 - l5)) && (box30.R4[SigmaProp].get == prop2)) && (box30.R5[Long].get == l22)) && (box30.R6[Coll[Long]].get(placeholder[Int](98)) == l18)) && (box30.R6[Coll[Long]].get(placeholder[Int](99)) == l19)) && (box30.R6[Coll[Long]].get(placeholder[Int](100)) == l20)) && (box30.R6[Coll[Long]].get(placeholder[Int](101)) == l21)) || ((((((((((((((box28.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](102))) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](103))) && (box28.R8[Long].get == l13)) && (box28.R9[Long].get == l22)) && (box28.tokens(placeholder[Int](104))._2 == placeholder[Long](105))) && (box30.value >= placeholder[Long](106) * l13 - l5)) && (box30.R7[SigmaProp].get == prop2)) && (box30.R8[Long].get == l22)) && (box30.R9[Coll[Long]].get(placeholder[Int](107)) == l18)) && (box30.R9[Coll[Long]].get(placeholder[Int](108)) == l19)) && (box30.R9[Coll[Long]].get(placeholder[Int](109)) == l20)) && (box30.R9[Coll[Long]].get(placeholder[Int](110)) == l21)) } else { placeholder[Boolean](111) }\n )} else { placeholder[Boolean](112) } } else { placeholder[Boolean](113) }\n ) || if ((bool8 && bool29) && (l12 == placeholder[Long](114))) {\n (\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](115))) && (\n box14.R8[Long].get == placeholder[Long](116)\n )\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](117))._2 == placeholder[Long](118))\n ) || (\n (\n (\n (((box28.R4[Coll[Byte]].get == coll16) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](119))) && (\n box28.R8[Long].get == placeholder[Long](120)\n )\n ) && (box28.R9[Long].get == l22)\n ) && (box28.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110408020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "0ec7014a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a"
}
}
}
],
"dataInputs": [
{
"boxId": "6a3b5aaa2b13d31b53a04cc438eeda9d67e928cee14f0d933515e730e984b99c",
"value": 1000000,
"index": 0,
"outputBlockId": "9f476bfd41f74e42467a48ba57c2b52c6ba87c5eae19c3811ec6b135d1337cef",
"outputTransactionId": "b34f340b2d50f02c8e7a36347b1be5fcf577b9cd976dcce0518976c959f1223f",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2029dfb3242f990999cb2a986883ee9433bcedd9a1405a0714b5d824ec2fa3c3e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "29dfb3242f990999cb2a986883ee9433bcedd9a1405a0714b5d824ec2fa3c3e3"
},
"R5": {
"serializedValue": "0e207995358b678fda1a5ed3b11936935e84475a1c05d3e97725ea0865527c502f78",
"sigmaType": "Coll[SByte]",
"renderedValue": "7995358b678fda1a5ed3b11936935e84475a1c05d3e97725ea0865527c502f78"
},
"R6": {
"serializedValue": "1105148092f4018092f4018092f4018092f401",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,2000000,2000000,2000000]"
}
}
}
],
"outputs": [
{
"boxId": "f761fc4e92e2e2820929c80edf9b7acf334ab97fcadd23001c81fa2398b7ca40",
"transactionId": "79a06c941f6b9ff19a4e1fe59200d1c3b247e3f22c6c7288b696bd3d69f85a7c",
"blockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"value": 37000000,
"index": 0,
"globalIndex": 19650950,
"creationHeight": 804926,
"settlementHeight": 804928,
"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: 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: 0\n94: 3\n95: 0\n96: 1\n97: 2\n98: 0\n99: 1\n100: 2\n101: 3\n102: 1\n103: 3\n104: 0\n105: 1\n106: 2\n107: 0\n108: 1\n109: 2\n110: 3\n111: false\n112: false\n113: false\n114: 3\n115: 0\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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 i27 = OUTPUTS.size\n val box28 = OUTPUTS(placeholder[Int](30))\n val bool29 = 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 box30 = OUTPUTS(placeholder[Int](35))\n val l31 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box30.propositionBytes == coll9) {(\n val coll32 = box30.tokens\n (((((coll32.size == placeholder[Int](38)) && (coll32(placeholder[Int](39))._1 == coll3)) && (coll32(placeholder[Int](40))._2 == placeholder[Long](41))) && (box30.value >= l31)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l31 - 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 box30 = OUTPUTS(placeholder[Int](49))\n val l31 = box14.value\n val l32 = l10 - l31\n if (box30.propositionBytes == coll9) { (((((((((box30.value >= max(max(l32, l32) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l31 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](54)) == l18) && (coll35(placeholder[Int](55)) == l19)) && (coll35(placeholder[Int](56)) == l20)) && (coll35(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 l30 = box14.R7[Long].get\n (l30 == placeholder[Long](70)) || ((l30 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool26)) {\n if (i27 > placeholder[Int](74)) {\n if (box28.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box28.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box28.tokens.size == placeholder[Int](77))\n ) && (OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool25\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func24(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool29) && (l12 == placeholder[Long](90))) { if (i27 == placeholder[Int](91)) {(\n val box30 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box30.propositionBytes) == box1.R5[Coll[Byte]].get) { ((((((((((((((box14.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](93))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](94))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](95))._2 == placeholder[Long](96))) && (box30.value >= placeholder[Long](97) * l13 - l5)) && (box30.R4[SigmaProp].get == prop2)) && (box30.R5[Long].get == l22)) && (box30.R6[Coll[Long]].get(placeholder[Int](98)) == l18)) && (box30.R6[Coll[Long]].get(placeholder[Int](99)) == l19)) && (box30.R6[Coll[Long]].get(placeholder[Int](100)) == l20)) && (box30.R6[Coll[Long]].get(placeholder[Int](101)) == l21)) || ((((((((((((((box28.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](102))) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](103))) && (box28.R8[Long].get == l13)) && (box28.R9[Long].get == l22)) && (box28.tokens(placeholder[Int](104))._2 == placeholder[Long](105))) && (box30.value >= placeholder[Long](106) * l13 - l5)) && (box30.R7[SigmaProp].get == prop2)) && (box30.R8[Long].get == l22)) && (box30.R9[Coll[Long]].get(placeholder[Int](107)) == l18)) && (box30.R9[Coll[Long]].get(placeholder[Int](108)) == l19)) && (box30.R9[Coll[Long]].get(placeholder[Int](109)) == l20)) && (box30.R9[Coll[Long]].get(placeholder[Int](110)) == l21)) } else { placeholder[Boolean](111) }\n )} else { placeholder[Boolean](112) } } else { placeholder[Boolean](113) }\n ) || if ((bool8 && bool29) && (l12 == placeholder[Long](114))) {\n (\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](115))) && (\n box14.R8[Long].get == placeholder[Long](116)\n )\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](117))._2 == placeholder[Long](118))\n ) || (\n (\n (\n (((box28.R4[Coll[Byte]].get == coll16) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](119))) && (\n box28.R8[Long].get == placeholder[Long](120)\n )\n ) && (box28.R9[Long].get == l22)\n ) && (box28.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110404020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,1,1,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "7469746f753a3037303861373a6539376532663a343a313a4d3139342e352c313430513138322c3135352c3137392e352c3137372e35513137372c3230302c3135362c323035513133352c3231302c3131392e352c3139352e35513130342c3138312c39392c3136362e355139342c3135322c37362e352c3134362e355135392c3134312c33392e352c3132305132302c39392c35342e352c39365138392c39332c38392e352c36332e355139302c33342c3131302c35372e35513133302c38312c3135332c36362e35513137362c35322c3139322c36362e35513230382c38312c3230372e352c313033513230372c3132352c3139342e352c3134305a"
}
},
"spentTransactionId": "81e6239638f52b6c6c74f1dfaaa394f7cee97f75f135710e8d99a86e16b35c07",
"mainChain": true
},
{
"boxId": "eeb8df88276fda17babbfc34f478319f729591ad0e7d843608203c192d4e8950",
"transactionId": "79a06c941f6b9ff19a4e1fe59200d1c3b247e3f22c6c7288b696bd3d69f85a7c",
"blockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"value": 81000000,
"index": 1,
"globalIndex": 19650951,
"creationHeight": 804926,
"settlementHeight": 804928,
"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: 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: 0\n94: 3\n95: 0\n96: 1\n97: 2\n98: 0\n99: 1\n100: 2\n101: 3\n102: 1\n103: 3\n104: 0\n105: 1\n106: 2\n107: 0\n108: 1\n109: 2\n110: 3\n111: false\n112: false\n113: false\n114: 3\n115: 0\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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 i27 = OUTPUTS.size\n val box28 = OUTPUTS(placeholder[Int](30))\n val bool29 = 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 box30 = OUTPUTS(placeholder[Int](35))\n val l31 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box30.propositionBytes == coll9) {(\n val coll32 = box30.tokens\n (((((coll32.size == placeholder[Int](38)) && (coll32(placeholder[Int](39))._1 == coll3)) && (coll32(placeholder[Int](40))._2 == placeholder[Long](41))) && (box30.value >= l31)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l31 - 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 box30 = OUTPUTS(placeholder[Int](49))\n val l31 = box14.value\n val l32 = l10 - l31\n if (box30.propositionBytes == coll9) { (((((((((box30.value >= max(max(l32, l32) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l31 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](54)) == l18) && (coll35(placeholder[Int](55)) == l19)) && (coll35(placeholder[Int](56)) == l20)) && (coll35(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 l30 = box14.R7[Long].get\n (l30 == placeholder[Long](70)) || ((l30 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool26)) {\n if (i27 > placeholder[Int](74)) {\n if (box28.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box28.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box28.tokens.size == placeholder[Int](77))\n ) && (OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool25\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func24(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool29) && (l12 == placeholder[Long](90))) { if (i27 == placeholder[Int](91)) {(\n val box30 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box30.propositionBytes) == box1.R5[Coll[Byte]].get) { ((((((((((((((box14.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](93))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](94))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](95))._2 == placeholder[Long](96))) && (box30.value >= placeholder[Long](97) * l13 - l5)) && (box30.R4[SigmaProp].get == prop2)) && (box30.R5[Long].get == l22)) && (box30.R6[Coll[Long]].get(placeholder[Int](98)) == l18)) && (box30.R6[Coll[Long]].get(placeholder[Int](99)) == l19)) && (box30.R6[Coll[Long]].get(placeholder[Int](100)) == l20)) && (box30.R6[Coll[Long]].get(placeholder[Int](101)) == l21)) || ((((((((((((((box28.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](102))) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](103))) && (box28.R8[Long].get == l13)) && (box28.R9[Long].get == l22)) && (box28.tokens(placeholder[Int](104))._2 == placeholder[Long](105))) && (box30.value >= placeholder[Long](106) * l13 - l5)) && (box30.R7[SigmaProp].get == prop2)) && (box30.R8[Long].get == l22)) && (box30.R9[Coll[Long]].get(placeholder[Int](107)) == l18)) && (box30.R9[Coll[Long]].get(placeholder[Int](108)) == l19)) && (box30.R9[Coll[Long]].get(placeholder[Int](109)) == l20)) && (box30.R9[Coll[Long]].get(placeholder[Int](110)) == l21)) } else { placeholder[Boolean](111) }\n )} else { placeholder[Boolean](112) } } else { placeholder[Boolean](113) }\n ) || if ((bool8 && bool29) && (l12 == placeholder[Long](114))) {\n (\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](115))) && (\n box14.R8[Long].get == placeholder[Long](116)\n )\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](117))._2 == placeholder[Long](118))\n ) || (\n (\n (\n (((box28.R4[Coll[Byte]].get == coll16) && (box28.R6[SigmaProp].get == prop2)) && (box28.R7[Long].get == placeholder[Long](119))) && (\n box28.R8[Long].get == placeholder[Long](120)\n )\n ) && (box28.R9[Long].get == l22)\n ) && (box28.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110408020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "0ec7014a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a"
}
},
"spentTransactionId": "81e6239638f52b6c6c74f1dfaaa394f7cee97f75f135710e8d99a86e16b35c07",
"mainChain": true
},
{
"boxId": "dd11590bf8ea458760d1f38d1f2427c9031a4eb8db63347d37ab4a0c8010e842",
"transactionId": "79a06c941f6b9ff19a4e1fe59200d1c3b247e3f22c6c7288b696bd3d69f85a7c",
"blockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"value": 238000000,
"index": 2,
"globalIndex": 19650952,
"creationHeight": 804926,
"settlementHeight": 804928,
"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: 1\n34: 2\n35: 0\n36: 1\n37: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n38: 0\n39: 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)\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 3\n46: 1\n47: 2\n48: 1\n49: 3\n50: 1\n51: 0\n52: 1\n53: 3\n54: 2\n55: 1\n56: 3\n57: 1\n58: 0\n59: 1\n60: 1\n61: 2\n62: 1\n63: 3\n64: 0\n65: 1\n66: 1\n67: 2\n68: 1\n69: 3\n70: 0\n71: 3\n72: 1\n73: 2\n74: 1\n75: 3\n76: 1\n77: 0\n78: 1\n79: 3\n80: 2\n81: 1\n82: 3\n83: 1\n84: 0\n85: 1\n86: 1\n87: 2\n88: 1\n89: 3\n90: 0\n91: 1\n92: 1\n93: 2\n94: 1\n95: 3\n96: 2\n97: 3\n98: 2\n99: 3",
"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 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 = box2.R5[Coll[Long]].get\n val bool26 = bi21 <= bi22\n val coll27 = box4.R5[Coll[Long]].get\n val l28 = box1.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 box1.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39), blake2b256(box2.propositionBytes) == coll3, box2.R6[SigmaProp].get == SELF.R4[\n SigmaProp\n ].get, box2.R7[Long].get == placeholder[Long](40), box2.R8[Long].get == placeholder[Long](41), box2.R9[Long].get == SELF.R5[Long].get, blake2b256(\n box4.propositionBytes\n ) == coll3, box4.R6[SigmaProp].get == SELF.R7[SigmaProp].get, box4.R7[Long].get == placeholder[Long](42), box4.R8[Long].get == placeholder[Long](\n 43\n ), box4.R9[Long].get == SELF.R8[Long].get, anyOf(\n Coll[Boolean](\n (\n (((bool23 && bool24) && (coll25(placeholder[Int](44)) == l18 + placeholder[Long](45))) && (coll25(placeholder[Int](46)) == l12)) && (\n coll25(placeholder[Int](47)) == l13 + placeholder[Long](48)\n )\n ) && (coll25(placeholder[Int](49)) == l19 + placeholder[Long](50)), (\n (((bool23 && (!bool24)) && (coll25(placeholder[Int](51)) == l18)) && (coll25(placeholder[Int](52)) == l12 + placeholder[Long](53))) && (\n coll25(placeholder[Int](54)) == l13 + placeholder[Long](55)\n )\n ) && (coll25(placeholder[Int](56)) == l19 + placeholder[Long](57)), (\n (((bool26 && bool24) && (coll25(placeholder[Int](58)) == l18 + placeholder[Long](59))) && (coll25(placeholder[Int](60)) == l12)) && (\n coll25(placeholder[Int](61)) == l13 + placeholder[Long](62)\n )\n ) && (coll25(placeholder[Int](63)) == l19), (\n (((bool26 && (!bool24)) && (coll25(placeholder[Int](64)) == l18)) && (coll25(placeholder[Int](65)) == l12 + placeholder[Long](66))) && (\n coll25(placeholder[Int](67)) == l13 + placeholder[Long](68)\n )\n ) && (coll25(placeholder[Int](69)) == l19)\n )\n ), anyOf(\n Coll[Boolean](\n (\n (((bool26 && bool24) && (coll27(placeholder[Int](70)) == l15 + placeholder[Long](71))) && (coll27(placeholder[Int](72)) == l7)) && (\n coll27(placeholder[Int](73)) == l8 + placeholder[Long](74)\n )\n ) && (coll27(placeholder[Int](75)) == l16 + placeholder[Long](76)), (\n (((bool26 && (!bool24)) && (coll27(placeholder[Int](77)) == l15)) && (coll27(placeholder[Int](78)) == l7 + placeholder[Long](79))) && (\n coll27(placeholder[Int](80)) == l8 + placeholder[Long](81)\n )\n ) && (coll27(placeholder[Int](82)) == l16 + placeholder[Long](83)), (\n (((bool23 && bool24) && (coll27(placeholder[Int](84)) == l15 + placeholder[Long](85))) && (coll27(placeholder[Int](86)) == l7)) && (\n coll27(placeholder[Int](87)) == l8 + placeholder[Long](88)\n )\n ) && (coll27(placeholder[Int](89)) == l16), (\n (((bool23 && (!bool24)) && (coll27(placeholder[Int](90)) == l15)) && (coll27(placeholder[Int](91)) == l7 + placeholder[Long](92))) && (\n coll27(placeholder[Int](93)) == l8 + placeholder[Long](94)\n )\n ) && (coll27(placeholder[Int](95)) == l16)\n )\n ), anyOf(\n Coll[Boolean](\n (bool23 && (box2.value == l30 + placeholder[Long](96) * l29 - placeholder[Long](97) * l28)) && (box4.value == l31), (\n bool26 && (box2.value == l30)\n ) && (box4.value == l31 + placeholder[Long](98) * l29 - placeholder[Long](99) * l28)\n )\n )\n )\n )\n )\n}",
"address": "DG3X8mV1MrkBBdF76T2HMDG1adbQR8VGKTYBNik7RYBvp71EFSeG7vHc1DgefU1GNhzJCB89ZuPW6faZGSduF8M3dES5H4x3hFaqnExJqtfyB8Us9UpX79CxE6nPoRwGecTFnQoSvJ9JBaVah24KtA9ZRagPNRtqpNWWeLaGoV1AiFFwGuzkV4X25gqn16wTadAxWWFqa4JUcCvT6UNiVpkuABa7GtxTbomHjR1p1gWT3jWtUQMuCSPanQJ3sFAxYq1yPzHoCqfMGVangbHUpH33myifArcYTefkBszo3nwhcXGaPubPJtdjrFtUxyKUeK3d3YNXDtmEtfKYrTDRnesP5bvvmmbHGDtcQSsGPdaPiEiWMsvUuChQ7FEUccstNWXaX2kjRwzych8o6GwicPZoiwn8DsBRHxJC2PqTRnokMvPnGUhpLUQfPBKhwmwverL76hhZgujxk1nuACLYvW8bM484uiMpNGmKtsPJGXPJ1B9quWYAWZpQzPLooWWdMCqi2ZbKBUM1q63zSxVktELeuj6MsVsVHXmx82hMaCNK9jmLQQGrxqCg7QxopNherKdd3aHwLmarWebC8VWYEBikR3jUPtqNdbCsvPzKUrumTqPaEc9jPT74bmwGrGTXEnKwqMa35hPS51GmQV5f4eJ9hWRTvUyCXFkwLbFsevYVwpqUop2cDMqBKm1mwsfTU5bNnSa4wgv5co94B4n4CCrmSfyGE9eD83AEPAvcL2sQncWRx3B234Ve7MH3W2imAxCgsstqSQZ4Lk6RuDXUHxu6dRtyYfjuhtVvPqKGQmwRSvDfpreChGrhaR9jmPdbEhsWZ44aF2rg7yWTpFihYBjrA4K8pqXNUxTTEAQARAn1yp2eMJjcgMCh5dezKDJ9EXTXcTFopKL9GMaa2wA2pzFUxwoTrmZhHeaDM1rCVtJDjRfA5KG5ZqYaPzk8eBx1h8hFKmoDVPwSn48zo1NpKCH811JPDKpDMBFtdU2NTGEWSyoWXaLbsCaNiYCTXfAwBKgQNbnEBtbTZXdbrfKoeHQp7XVo861Q9XiRndHGyGcdBQZgTRMAtMxCBZ5EX2Tu8d4K57dcVe44XWdCiKvVE2HdCzWxT6t9RDGMJ7WsrXYnqvmTfDKfkyXS6sDFazWNQ17waFgWWKwk7Rj2CejrzsZNs4k5ZJswFYEBdf6V1UwWoR1EjARz3JqRzCMjXrphUqoSpPqsVVQwKQs7nDo94676w3LsPR4ydMDzgWJCw6VyhbHftaRyyoSx1L4RAU95xu1XwBy6sGzbo7J1mcfJQy4EyKESRkcVSq5Nxapnfvzuj68EiPKB26ryjcT5k6jJrTbZxhaVVtgZPUCLCMunFPvYSNSB1GWmB73KQezLqKpFVDPy5mvBVG3rqARGKJ2zGihADWpTNRAZBz1EgiiEJLQx9dHwSGZAyGpuQx88tTmVaBCtLMmPE8WtjS5dEeJXKv9RKUFWZDbFtrPt5fi2tzGSpqhEhW7G26UHYRmLA7QH31NQ3XXJXj9V59D65a3hxbuANxhaGpd7XdTFaS9P2LXDWPP168axWGmYSjFuka91VKMVgppy23iGwHKZkHgcvFWXB3Vfn4BccpDYWZ3cbPm5rxuVRFyFD7mUxKnrNXheUNy47frEqcTYaeV6WhFwfmfQhjm8FgRCxprkLW8jjddnshrZ5Bnd49KEKWGgt",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R6": {
"serializedValue": "110404020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,1,1,0]"
},
"R8": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "110408020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,1,1,1]"
},
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
}
},
"spentTransactionId": "81e6239638f52b6c6c74f1dfaaa394f7cee97f75f135710e8d99a86e16b35c07",
"mainChain": true
},
{
"boxId": "ba33950bb94bf199ad442114cd23230e3903871957730e1cb70e99c247c7bb20",
"transactionId": "79a06c941f6b9ff19a4e1fe59200d1c3b247e3f22c6c7288b696bd3d69f85a7c",
"blockId": "c8f772d9219b035d741299b667cef4c4a91d5568206f8a91937d41464a97bc1c",
"value": 2000000,
"index": 3,
"globalIndex": 19650953,
"creationHeight": 804926,
"settlementHeight": 804928,
"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": "3b085dc5ebd2deebfc955ce88fb3970da8cd75fa1e1d6c23350ba85647bc4218",
"mainChain": true
}
],
"size": 6057,
"isUnconfirmed": false
}