Transaction
ID: 3ef51bd4bd...b68b
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.027 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.115 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.198 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.027 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.309 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 946,980
Total coins transferred: 0.34 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000364 ERG
Raw Transaction Data
{
"id": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"inclusionHeight": 811060,
"timestamp": 1659944520702,
"index": 14,
"globalIndex": 3707561,
"numConfirmations": 946980,
"inputs": [
{
"boxId": "d53a2480d7a6737cdf99cfc56219244993511c3d7dddbedef0ec5ebef9424bca",
"value": 27000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7fdf807a64027ca707443a26aed71f069b867e7f550273f22e6d20c8251b3496",
"outputTransactionId": "615e35007faad88501c223ea0a773e64f1b8e41478988e735e98983df9cd76e6",
"outputIndex": 0,
"outputGlobalIndex": 19974018,
"outputCreatedAt": 811054,
"outputSettledAt": 811056,
"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: false\n8: false\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 3\n22: 0\n23: 2\n24: 0\n25: 0\n26: 0\n27: false\n28: 1\n29: 1\n30: 0\n31: 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)\n32: 2\n33: 0\n34: 1000\n35: 1000000\n36: 1\n37: 0\n38: 0\n39: 2\n40: 1\n41: 1\n42: false\n43: false\n44: 0\n45: 0\n46: 2\n47: 1\n48: 1000\n49: 1000000\n50: 0\n51: 2\n52: 0\n53: 1\n54: 2\n55: 3\n56: 0\n57: 0\n58: 0\n59: 0\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 0\n66: 2\n67: 0\n68: 2\n69: 1\n70: false\n71: 0\n72: 2\n73: 2\n74: 3\n75: 0\n76: 0\n77: 0\n78: 2\n79: 1\n80: 0\n81: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n82: 0\n83: 1000\n84: 1\n85: 1000\n86: 0\n87: 0\n88: 1\n89: false\n90: false\n91: false\n92: 2\n93: 3\n94: 1000\n95: 1000000\n96: 0\n97: 2\n98: 2\n99: 2\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 0\n113: 3\n114: 0\n115: 1\n116: 2\n117: 0\n118: 1\n119: 2\n120: 3\n121: 1\n122: 3\n123: 0\n124: 1\n125: 2\n126: 0\n127: 1\n128: 2\n129: 3\n130: false\n131: false\n132: false\n133: 3\n134: 0\n135: 0\n136: 0\n137: 2\n138: 0\n139: 0\n140: 0\n141: 2\n142: 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) && box9.R5[Coll[Long]].isDefined\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](7) }\n )} else { placeholder[Boolean](8) }\n }\n val bool8 = func7(placeholder[Int](9))\n val coll9 = placeholder[SigmaProp](10).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](11))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](12))\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](13))\n val l19 = coll17(placeholder[Int](14))\n val l20 = coll17(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\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](17)) == l18) && (coll26(placeholder[Int](18)) == l19)) && (coll26(placeholder[Int](19)) == l20)) && (\n coll26(placeholder[Int](20)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && (l12 != placeholder[Long](21))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](22))._2 == placeholder[Long](23))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](24))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](25))\n ) && (box14.R8[Long].get == placeholder[Long](26))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](27) }\n val bool27 = func7(placeholder[Int](28))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](29))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](30))._1 == placeholder[Coll[Byte]](31)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](32))) {(\n val box32 = OUTPUTS(placeholder[Int](33))\n val l33 = max(l10 * l11 / placeholder[Long](34), placeholder[Long](35))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](36)) && (coll34(placeholder[Int](37))._1 == coll3)) && (coll34(placeholder[Int](38))._2 == placeholder[Long](39))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](40)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](41)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) } || if ((bool8 && (l12 == placeholder[Long](44))) && (l13 == placeholder[Long](45))) { if (OUTPUTS.size > placeholder[Int](46)) {(\n val box32 = OUTPUTS(placeholder[Int](47))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](48), placeholder[Long](49))) && (l33 >= l6)) && (coll15(placeholder[Int](50))._2 == placeholder[Long](51))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](52)) == l18) && (coll37(placeholder[Int](53)) == l19)) && (coll37(placeholder[Int](54)) == l20)) && (coll37(placeholder[Int](55)) == l21)\n }(placeholder[Int](56))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](57))) && (box14.R8[Long].get == placeholder[Long](58))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](59)) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) } } else { placeholder[Boolean](62) }) || if ((bool8 && (l12 == placeholder[Long](63))) && (l13 == placeholder[Long](64))) { (((((((l23 == l10) && (coll15(placeholder[Int](65))._2 == placeholder[Long](66))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](67))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](68)) || ((l32 == placeholder[Long](69)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](70) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](71))) {\n if (i31 > placeholder[Int](72)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](73)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](74)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](75))\n ) && (box14.R8[Long].get == placeholder[Long](76))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](77))._2 == placeholder[Long](78))\n ) && (box29.tokens.size == placeholder[Int](79))\n ) && (box29.tokens(placeholder[Int](80))._1 == placeholder[Coll[Byte]](81))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](82)) <= placeholder[Long](83))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](84)) <= placeholder[Long](85))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](86))._2 >= coll32(placeholder[Int](87)) + coll32(placeholder[Int](88)) - l18 + l19\n \n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](92))) && (!bool26)) {\n if (i31 > placeholder[Int](93)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](94), placeholder[Long](95))) && (box29.tokens.size == placeholder[Int](96))\n ) && (OUTPUTS(placeholder[Int](97)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](98)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](99)).tokens.size == placeholder[Int](100))\n ) && bool25\n ) && (coll15(placeholder[Int](101))._2 == placeholder[Long](102))\n ) && bool28\n ) && func24(placeholder[Int](103))\n ) && (box14.R7[Long].get == placeholder[Long](104))\n ) && (box14.R8[Long].get == placeholder[Long](105))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool8 && bool27) && (l12 == placeholder[Long](109))) { if (i31 >= placeholder[Int](110)) {(\n val box32 = OUTPUTS(placeholder[Int](111))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](112))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](113))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](114))._2 == placeholder[Long](115))) && (box32.value >= placeholder[Long](116) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](119)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](120)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](121))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](122))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](123))._2 == placeholder[Long](124))) && (box32.value >= placeholder[Long](125) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](128)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](129)) == l21)) } else { placeholder[Boolean](130) }\n )} else { placeholder[Boolean](131) } } else { placeholder[Boolean](132) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](133))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](134))) && (box14.R8[Long].get == placeholder[Long](135))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](136))._2 == placeholder[Long](137))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](138))) && (\n box29.R8[Long].get == placeholder[Long](139)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n )\n } else { placeholder[Boolean](142) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0518",
"sigmaType": "SLong",
"renderedValue": "12"
},
"R4": {
"serializedValue": "0ef501546f6e793a3863366565613a6564373364653a353a313a4d3233322c3135322e35513232392c3138302c3231322c3230332e35513139352c3232372c3136352e352c323232513133362c3231372c3131302e352c3232345138352c3233312c37312e352c3230372e355135382c3138342c34312e352c3136375132352c3135302c33312e352c3132375133382c3130342c33382c37365133382c34382c36322e352c33375138372c32362c3131312e352c3332513133362c33382c3135352e352c3435513137352c35322c3139362c36342e35513231372c37372c3232362c313031513233352c3132352c3233322c3135322e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "546f6e793a3863366565613a6564373364653a353a313a4d3233322c3135322e35513232392c3138302c3231322c3230332e35513139352c3232372c3136352e352c323232513133362c3231372c3131302e352c3232345138352c3233312c37312e352c3230372e355135382c3138342c34312e352c3136375132352c3135302c33312e352c3132375133382c3130342c33382c37365133382c34382c36322e352c33375138372c32362c3131312e352c3332513133362c33382c3135352e352c3435513137352c35322c3139362c36342e35513231372c37372c3232362c313031513233352c3132352c3233322c3135322e355a"
}
}
},
{
"boxId": "40bb6e71355b6181acd4586b64677009ad8701f742f9c9fedaac9b5853a1a3da",
"value": 115000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7fdf807a64027ca707443a26aed71f069b867e7f550273f22e6d20c8251b3496",
"outputTransactionId": "615e35007faad88501c223ea0a773e64f1b8e41478988e735e98983df9cd76e6",
"outputIndex": 1,
"outputGlobalIndex": 19974019,
"outputCreatedAt": 811054,
"outputSettledAt": 811056,
"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: false\n8: false\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 3\n22: 0\n23: 2\n24: 0\n25: 0\n26: 0\n27: false\n28: 1\n29: 1\n30: 0\n31: 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)\n32: 2\n33: 0\n34: 1000\n35: 1000000\n36: 1\n37: 0\n38: 0\n39: 2\n40: 1\n41: 1\n42: false\n43: false\n44: 0\n45: 0\n46: 2\n47: 1\n48: 1000\n49: 1000000\n50: 0\n51: 2\n52: 0\n53: 1\n54: 2\n55: 3\n56: 0\n57: 0\n58: 0\n59: 0\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 0\n66: 2\n67: 0\n68: 2\n69: 1\n70: false\n71: 0\n72: 2\n73: 2\n74: 3\n75: 0\n76: 0\n77: 0\n78: 2\n79: 1\n80: 0\n81: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n82: 0\n83: 1000\n84: 1\n85: 1000\n86: 0\n87: 0\n88: 1\n89: false\n90: false\n91: false\n92: 2\n93: 3\n94: 1000\n95: 1000000\n96: 0\n97: 2\n98: 2\n99: 2\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 0\n113: 3\n114: 0\n115: 1\n116: 2\n117: 0\n118: 1\n119: 2\n120: 3\n121: 1\n122: 3\n123: 0\n124: 1\n125: 2\n126: 0\n127: 1\n128: 2\n129: 3\n130: false\n131: false\n132: false\n133: 3\n134: 0\n135: 0\n136: 0\n137: 2\n138: 0\n139: 0\n140: 0\n141: 2\n142: 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) && box9.R5[Coll[Long]].isDefined\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](7) }\n )} else { placeholder[Boolean](8) }\n }\n val bool8 = func7(placeholder[Int](9))\n val coll9 = placeholder[SigmaProp](10).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](11))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](12))\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](13))\n val l19 = coll17(placeholder[Int](14))\n val l20 = coll17(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\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](17)) == l18) && (coll26(placeholder[Int](18)) == l19)) && (coll26(placeholder[Int](19)) == l20)) && (\n coll26(placeholder[Int](20)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && (l12 != placeholder[Long](21))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](22))._2 == placeholder[Long](23))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](24))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](25))\n ) && (box14.R8[Long].get == placeholder[Long](26))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](27) }\n val bool27 = func7(placeholder[Int](28))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](29))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](30))._1 == placeholder[Coll[Byte]](31)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](32))) {(\n val box32 = OUTPUTS(placeholder[Int](33))\n val l33 = max(l10 * l11 / placeholder[Long](34), placeholder[Long](35))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](36)) && (coll34(placeholder[Int](37))._1 == coll3)) && (coll34(placeholder[Int](38))._2 == placeholder[Long](39))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](40)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](41)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) } || if ((bool8 && (l12 == placeholder[Long](44))) && (l13 == placeholder[Long](45))) { if (OUTPUTS.size > placeholder[Int](46)) {(\n val box32 = OUTPUTS(placeholder[Int](47))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](48), placeholder[Long](49))) && (l33 >= l6)) && (coll15(placeholder[Int](50))._2 == placeholder[Long](51))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](52)) == l18) && (coll37(placeholder[Int](53)) == l19)) && (coll37(placeholder[Int](54)) == l20)) && (coll37(placeholder[Int](55)) == l21)\n }(placeholder[Int](56))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](57))) && (box14.R8[Long].get == placeholder[Long](58))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](59)) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) } } else { placeholder[Boolean](62) }) || if ((bool8 && (l12 == placeholder[Long](63))) && (l13 == placeholder[Long](64))) { (((((((l23 == l10) && (coll15(placeholder[Int](65))._2 == placeholder[Long](66))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](67))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](68)) || ((l32 == placeholder[Long](69)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](70) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](71))) {\n if (i31 > placeholder[Int](72)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](73)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](74)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](75))\n ) && (box14.R8[Long].get == placeholder[Long](76))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](77))._2 == placeholder[Long](78))\n ) && (box29.tokens.size == placeholder[Int](79))\n ) && (box29.tokens(placeholder[Int](80))._1 == placeholder[Coll[Byte]](81))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](82)) <= placeholder[Long](83))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](84)) <= placeholder[Long](85))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](86))._2 >= coll32(placeholder[Int](87)) + coll32(placeholder[Int](88)) - l18 + l19\n \n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](92))) && (!bool26)) {\n if (i31 > placeholder[Int](93)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](94), placeholder[Long](95))) && (box29.tokens.size == placeholder[Int](96))\n ) && (OUTPUTS(placeholder[Int](97)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](98)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](99)).tokens.size == placeholder[Int](100))\n ) && bool25\n ) && (coll15(placeholder[Int](101))._2 == placeholder[Long](102))\n ) && bool28\n ) && func24(placeholder[Int](103))\n ) && (box14.R7[Long].get == placeholder[Long](104))\n ) && (box14.R8[Long].get == placeholder[Long](105))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool8 && bool27) && (l12 == placeholder[Long](109))) { if (i31 >= placeholder[Int](110)) {(\n val box32 = OUTPUTS(placeholder[Int](111))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](112))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](113))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](114))._2 == placeholder[Long](115))) && (box32.value >= placeholder[Long](116) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](119)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](120)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](121))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](122))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](123))._2 == placeholder[Long](124))) && (box32.value >= placeholder[Long](125) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](128)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](129)) == l21)) } else { placeholder[Boolean](130) }\n )} else { placeholder[Boolean](131) } } else { placeholder[Boolean](132) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](133))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](134))) && (box14.R8[Long].get == placeholder[Long](135))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](136))._2 == placeholder[Long](137))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](138))) && (\n box29.R8[Long].get == placeholder[Long](139)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n )\n } else { placeholder[Boolean](142) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11041e1c0804",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15,14,4,2]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0510",
"sigmaType": "SLong",
"renderedValue": "8"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d613a6539323862663a3462326133633a333a343a4d3230332e352c313432513230312c3135392c3138332c313634513136352c3136392c3135382c3138372e35513135312c3230362c3133342c323032513131372c3139382c3130372e352c3138355139382c3137322c36392e352c3137395134312c3138362c35322e352c3136325136342c3133382c33352c31313951362c3130302c32382e352c38352e355135312c37312c35382e352c34362e355136362c32322c39322c34312e35513131382c36312c3133352e352c3439513135332c33372c3137312e352c3435513139302c35332c3230372e352c3637513232352c38312c3231352e352c313033513230362c3132352c3230332e352c3134325a"
}
}
},
{
"boxId": "f2a900636f77918c1d236ba8f21b4f474a89973c3cc18a21b0a5af07344b5240",
"value": 198000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7fdf807a64027ca707443a26aed71f069b867e7f550273f22e6d20c8251b3496",
"outputTransactionId": "615e35007faad88501c223ea0a773e64f1b8e41478988e735e98983df9cd76e6",
"outputIndex": 2,
"outputGlobalIndex": 19974020,
"outputCreatedAt": 811054,
"outputSettledAt": 811056,
"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: 3\n28: 5\n29: 1\n30: 2\n31: 0\n32: 1\n33: 3\n34: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n35: 3\n36: 2\n37: 0\n38: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n39: 0\n40: 0\n41: false\n42: 0\n43: 0\n44: false\n45: 2\n46: 2\n47: 2000000\n48: 2\n49: 2\n50: 2000000\n51: 2\n52: 1\n53: 0\n54: 0\n55: 0\n56: false\n57: 3\n58: 1\n59: 0\n60: 0\n61: 0\n62: false\n63: 0\n64: 1\n65: 2\n66: 1\n67: 3\n68: 1\n69: 0\n70: 1\n71: 2\n72: 1\n73: 3\n74: false\n75: 0\n76: 1\n77: 2\n78: 1\n79: 3\n80: 1\n81: 0\n82: 1\n83: 2\n84: 1\n85: 3\n86: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Byte]].get\n val prop4 = SELF.R4[SigmaProp].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val prop6 = SELF.R7[SigmaProp].get\n val coll7 = CONTEXT.headers(placeholder[Int](3)).id\n val coll8 = SELF.R9[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = coll8(placeholder[Int](5))\n val l11 = placeholder[Long](6) * l9 + placeholder[Long](7) * l10\n val i12 = placeholder[Int](8)\n val coll13 = SELF.R6[Coll[Long]].get\n val l14 = coll13(placeholder[Int](9))\n val l15 = coll13(placeholder[Int](10))\n val l16 = placeholder[Long](11) * l14 + placeholder[Long](12) * l15\n val l17 = coll8(placeholder[Int](13))\n val l18 = coll8(placeholder[Int](14))\n val l19 = placeholder[Long](15) * l17 + placeholder[Long](16) * l9 + placeholder[Long](17) * l10 + placeholder[Long](18) * l18\n val l20 = coll13(placeholder[Int](19))\n val l21 = coll13(placeholder[Int](20))\n val l22 = placeholder[Long](21) * l20 + placeholder[Long](22) * l14 + placeholder[Long](23) * l15 + placeholder[Long](24) * l21\n val bi23 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](25), placeholder[Int](26))), min(l11 + i12.toLong, l16).toBigInt) + min(\n l19 + i12.toLong, l22\n ).toBigInt\n val bi24 = max(byteArrayToBigInt(coll7.slice(placeholder[Int](27), placeholder[Int](28))), min(l16 + i12.toLong, l11).toBigInt) + min(\n l22 + i12.toLong, l19\n ).toBigInt\n val bool25 = bi23 > bi24\n val coll26 = box1.R6[Coll[Long]].get\n val l27 = coll26(placeholder[Int](29))\n val l28 = SELF.value + l27 / placeholder[Long](30)\n val l29 = INPUTS(placeholder[Int](31)).value\n val l30 = INPUTS(placeholder[Int](32)).value\n val bool31 = bi23 <= bi24\n val bool32 = OUTPUTS.size > placeholder[Int](33)\n val coll33 = placeholder[Coll[Byte]](34)\n val l34 = coll26(placeholder[Int](35))\n val l35 = coll26(placeholder[Int](36))\n val opt36 = box2.R5[Coll[Long]]\n val opt37 = box5.R5[Coll[Long]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](39))) && (box2.R8[Long].get == placeholder[Long](40))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](41) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](42))) && (box5.R8[Long].get == placeholder[Long](43))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](44) }, anyOf(\n Coll[Boolean](\n (bool25 && (box2.value == l29 + placeholder[Long](45) * l28 - placeholder[Long](46) * l27 - placeholder[Long](47))) && (box5.value == l30), (\n bool31 && (box2.value == l29)\n ) && (box5.value == l30 + placeholder[Long](48) * l28 - placeholder[Long](49) * l27 - placeholder[Long](50))\n )\n ), if (bool32) {(\n val box38 = OUTPUTS(placeholder[Int](51))\n (\n ((box38.propositionBytes == prop4.propBytes) && (box38.tokens.size == placeholder[Int](52))) && (box38.tokens(placeholder[Int](53))._1 == coll33)\n ) && ((bool25 && (box38.tokens(placeholder[Int](54))._2 == l34)) || (bool31 && (box38.tokens(placeholder[Int](55))._2 == l35)))\n )} else { placeholder[Boolean](56) }, if (bool32) {(\n val box38 = OUTPUTS(placeholder[Int](57))\n (\n ((box38.propositionBytes == prop6.propBytes) && (box38.tokens.size == placeholder[Int](58))) && (box38.tokens(placeholder[Int](59))._1 == coll33)\n ) && ((bool25 && (box38.tokens(placeholder[Int](60))._2 == l35)) || (bool31 && (box38.tokens(placeholder[Int](61))._2 == l34)))\n )} else { placeholder[Boolean](62) }, if (opt36.isDefined) {(\n val coll38 = opt36.get\n anyOf(\n Coll[Boolean](\n (\n ((bool25 && (coll38(placeholder[Int](63)) == l20)) && (coll38(placeholder[Int](64)) == l14)) && (\n coll38(placeholder[Int](65)) == l15 + placeholder[Long](66)\n )\n ) && (coll38(placeholder[Int](67)) == l21 + placeholder[Long](68)), (\n ((bool31 && (coll38(placeholder[Int](69)) == l20)) && (coll38(placeholder[Int](70)) == l14)) && (\n coll38(placeholder[Int](71)) == l15 + placeholder[Long](72)\n )\n ) && (coll38(placeholder[Int](73)) == l21)\n )\n )\n )} else { placeholder[Boolean](74) }, if (opt37.isDefined) {(\n val coll38 = opt37.get\n anyOf(\n Coll[Boolean](\n (\n ((bool31 && (coll38(placeholder[Int](75)) == l17)) && (coll38(placeholder[Int](76)) == l9)) && (\n coll38(placeholder[Int](77)) == l10 + placeholder[Long](78)\n )\n ) && (coll38(placeholder[Int](79)) == l18 + placeholder[Long](80)), (\n ((bool25 && (coll38(placeholder[Int](81)) == l17)) && (coll38(placeholder[Int](82)) == l9)) && (\n coll38(placeholder[Int](83)) == l10 + placeholder[Long](84)\n )\n ) && (coll38(placeholder[Int](85)) == l18)\n )\n )\n )} else { placeholder[Boolean](86) }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0518",
"sigmaType": "SLong",
"renderedValue": "12"
},
"R6": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R8": {
"serializedValue": "0510",
"sigmaType": "SLong",
"renderedValue": "8"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "11041e1c0804",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15,14,4,2]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
}
}
],
"dataInputs": [
{
"boxId": "19fd66b4c58c1475ff763ae43d2b9ae4b041fd814c4db021612f30e879311337",
"value": 1000000,
"index": 0,
"outputBlockId": "8b7805c60104acbb2cdb98cfe9ece1c6557d06c0f47a31439ea7eb00ad416508",
"outputTransactionId": "2ade70739b795db2908899ce0e7151f7321f864d9f6b08a5943b25f4bf652c40",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208488d54d02836242f66756dda889b1a0d493db169671b0aee49a601bc4b71983",
"sigmaType": "Coll[SByte]",
"renderedValue": "8488d54d02836242f66756dda889b1a0d493db169671b0aee49a601bc4b71983"
},
"R5": {
"serializedValue": "0e205272bbc8d075266bec108ff9c524b9d2d85c417e7322e34448a4ed9cb2ee238a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5272bbc8d075266bec108ff9c524b9d2d85c417e7322e34448a4ed9cb2ee238a"
},
"R6": {
"serializedValue": "1104148092f4010206",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3]"
}
}
}
],
"outputs": [
{
"boxId": "376d1de348224e3575795bbda6327b32ffa957675c463c82c2ad6b4da7e8325e",
"transactionId": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"value": 27000000,
"index": 0,
"globalIndex": 19974098,
"creationHeight": 811056,
"settlementHeight": 811060,
"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: false\n8: false\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 3\n22: 0\n23: 2\n24: 0\n25: 0\n26: 0\n27: false\n28: 1\n29: 1\n30: 0\n31: 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)\n32: 2\n33: 0\n34: 1000\n35: 1000000\n36: 1\n37: 0\n38: 0\n39: 2\n40: 1\n41: 1\n42: false\n43: false\n44: 0\n45: 0\n46: 2\n47: 1\n48: 1000\n49: 1000000\n50: 0\n51: 2\n52: 0\n53: 1\n54: 2\n55: 3\n56: 0\n57: 0\n58: 0\n59: 0\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 0\n66: 2\n67: 0\n68: 2\n69: 1\n70: false\n71: 0\n72: 2\n73: 2\n74: 3\n75: 0\n76: 0\n77: 0\n78: 2\n79: 1\n80: 0\n81: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n82: 0\n83: 1000\n84: 1\n85: 1000\n86: 0\n87: 0\n88: 1\n89: false\n90: false\n91: false\n92: 2\n93: 3\n94: 1000\n95: 1000000\n96: 0\n97: 2\n98: 2\n99: 2\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 0\n113: 3\n114: 0\n115: 1\n116: 2\n117: 0\n118: 1\n119: 2\n120: 3\n121: 1\n122: 3\n123: 0\n124: 1\n125: 2\n126: 0\n127: 1\n128: 2\n129: 3\n130: false\n131: false\n132: false\n133: 3\n134: 0\n135: 0\n136: 0\n137: 2\n138: 0\n139: 0\n140: 0\n141: 2\n142: 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) && box9.R5[Coll[Long]].isDefined\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](7) }\n )} else { placeholder[Boolean](8) }\n }\n val bool8 = func7(placeholder[Int](9))\n val coll9 = placeholder[SigmaProp](10).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](11))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](12))\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](13))\n val l19 = coll17(placeholder[Int](14))\n val l20 = coll17(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\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](17)) == l18) && (coll26(placeholder[Int](18)) == l19)) && (coll26(placeholder[Int](19)) == l20)) && (\n coll26(placeholder[Int](20)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && (l12 != placeholder[Long](21))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](22))._2 == placeholder[Long](23))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](24))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](25))\n ) && (box14.R8[Long].get == placeholder[Long](26))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](27) }\n val bool27 = func7(placeholder[Int](28))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](29))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](30))._1 == placeholder[Coll[Byte]](31)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](32))) {(\n val box32 = OUTPUTS(placeholder[Int](33))\n val l33 = max(l10 * l11 / placeholder[Long](34), placeholder[Long](35))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](36)) && (coll34(placeholder[Int](37))._1 == coll3)) && (coll34(placeholder[Int](38))._2 == placeholder[Long](39))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](40)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](41)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) } || if ((bool8 && (l12 == placeholder[Long](44))) && (l13 == placeholder[Long](45))) { if (OUTPUTS.size > placeholder[Int](46)) {(\n val box32 = OUTPUTS(placeholder[Int](47))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](48), placeholder[Long](49))) && (l33 >= l6)) && (coll15(placeholder[Int](50))._2 == placeholder[Long](51))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](52)) == l18) && (coll37(placeholder[Int](53)) == l19)) && (coll37(placeholder[Int](54)) == l20)) && (coll37(placeholder[Int](55)) == l21)\n }(placeholder[Int](56))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](57))) && (box14.R8[Long].get == placeholder[Long](58))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](59)) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) } } else { placeholder[Boolean](62) }) || if ((bool8 && (l12 == placeholder[Long](63))) && (l13 == placeholder[Long](64))) { (((((((l23 == l10) && (coll15(placeholder[Int](65))._2 == placeholder[Long](66))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](67))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](68)) || ((l32 == placeholder[Long](69)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](70) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](71))) {\n if (i31 > placeholder[Int](72)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](73)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](74)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](75))\n ) && (box14.R8[Long].get == placeholder[Long](76))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](77))._2 == placeholder[Long](78))\n ) && (box29.tokens.size == placeholder[Int](79))\n ) && (box29.tokens(placeholder[Int](80))._1 == placeholder[Coll[Byte]](81))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](82)) <= placeholder[Long](83))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](84)) <= placeholder[Long](85))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](86))._2 >= coll32(placeholder[Int](87)) + coll32(placeholder[Int](88)) - l18 + l19\n \n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](92))) && (!bool26)) {\n if (i31 > placeholder[Int](93)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](94), placeholder[Long](95))) && (box29.tokens.size == placeholder[Int](96))\n ) && (OUTPUTS(placeholder[Int](97)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](98)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](99)).tokens.size == placeholder[Int](100))\n ) && bool25\n ) && (coll15(placeholder[Int](101))._2 == placeholder[Long](102))\n ) && bool28\n ) && func24(placeholder[Int](103))\n ) && (box14.R7[Long].get == placeholder[Long](104))\n ) && (box14.R8[Long].get == placeholder[Long](105))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool8 && bool27) && (l12 == placeholder[Long](109))) { if (i31 >= placeholder[Int](110)) {(\n val box32 = OUTPUTS(placeholder[Int](111))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](112))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](113))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](114))._2 == placeholder[Long](115))) && (box32.value >= placeholder[Long](116) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](119)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](120)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](121))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](122))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](123))._2 == placeholder[Long](124))) && (box32.value >= placeholder[Long](125) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](128)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](129)) == l21)) } else { placeholder[Boolean](130) }\n )} else { placeholder[Boolean](131) } } else { placeholder[Boolean](132) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](133))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](134))) && (box14.R8[Long].get == placeholder[Long](135))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](136))._2 == placeholder[Long](137))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](138))) && (\n box29.R8[Long].get == placeholder[Long](139)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n )\n } else { placeholder[Boolean](142) }\n )\n}",
"address": "rnMQnWVeF1FttGF2gYhe4c4gkYEu3azcEQpvbCjuwLEFL29q6YEEyQsi1K8FJxRG28EjcsWKnv3f9QgnsYy6p6Qbg18XYzUkUU6jmfQgTLat19XSFyNZUz2WxSabQXkZaRcz3sS2GJQrktqxppQKnwpgL3cnjvrDMp9WghpvSMyZ9M7Z7N7YisCqt7jo7NX83KJ4HHRaDuqn4uQoWpmFWTijvpPwLXiAt9Ky44nPkgMB85L75LUPvQz4s18XTBkf13dvWBSCGMWo4zJY5hixTF4aLeRfaaPoyiedne7KG7dz2HrVvvog71PFH9FbZ7nvH6KGiMNx1YnM8NvkwXxHDBj7gk2jEomnuF6CSnKVmnHfKY3SLquxtLPuTVEwCGhK2pKN7R4V4tXyjAYkraiNakQhTVoLibZY3XDgW7LisVZxYLZjWUe1n1GdhVHnS6zut3Go7Ho8xkCCbWgExBKQnBr7KCy6o417xb297HL2iNpfTdLTM328gTgJ6zNfUE8RAV7DLsWVFvidTEjS6ivd9P2uhoXthMKNRmHogzaSC98WxKQUvZoN6u6iqbYiRmFEzFdu7fZxycqzURDq9NuetSELaJ4qofqTL3GjuunxcxQrnVm3T6sFURUk8ukCgQuDdKCRFqZU6GwMSQz3i1ircfxL76ugyQL8bvJYjhNQKEu8B6PJrRo3uJ88BXCM774AzvSiM5bc266FH9rkxb411V9ugnYR6ZShSSyZNssyqRLixrwMqWE7xJuTDtCU6rXHkLdTv9bV85sw9LdFfLWrzcReGzs3yjn2ftfrNDAjXuk9thbTqVhGkywJPQjboivP5Ka9EkbZ6oD87CKge4Fo9KpYgr5G9EcRAikyu7egmDFuWth7G25EfJRtwRtv6A3kA2EDtPn3KbDUyyh4suXAqR4xgFNxwM2gVmCFDxMbouSCNnhygdpQxXZcTHQU1MFhtFFt4ergofPyymU5cQSJKBqicBvzsN9FXMNioKuRzfi3q1HWVKkEw77H2MRCRtVbijHNaK8ScW5mGP3fJHaNioZrP3iFa3koVt1KFTqExmimuKTUroGZv6irRB4xF1hK1rHY1ZfBs2LX4kSGycE454bSenZPVJwSeFQ8khDhYxkLJhX54bpMueNEvTQPhED8f2FRkqmJ6YS5FRAgX71tCc9C4xwx72KMa3E2TAXvqU9BLvbUSteLwefAPJjivh3Q2jWtrgGMSEDntdMxedewQu1oNkqxrchUNAdUBUYL9d7tmTFhtFVHKgpEGjc7CnKGvcmo2pKyTSHJyyJgfGeiTeSVdzqBuXYmstBPFY43ZkY5wkP8j6CGrKXXqa32vq7yPRPGD86Kp6ud9Zpiu8N7zbWxfj4WihTPMArn1ifYsUyCMkMNS9pAB8C7Mftp54J19T2BwExHZf2WzksG4YVTfEqKNDj8gctj7ZhaoajGVwyey6nDwpJNJNaN5MbrQS7fY5GhsngjGXuJz6y7V78RbUC53FCVc2ycvHiaN9A1kBU4CMLFt4vnH9Lit5YZtcmepPmyHmfxhWKFfqdcLREQ5EtqGdHQP3fjPNECvVnkJ5c3S7ZU6HJ1fBC9mSTxFZKCNbJiYCKQjJcgNEQbSCBke6bSDiNJt9Q1xgKoMcWxMt5cFZWk9hHv6BxRp26zBBTvkvhAQvuPp4t8hFQLV95w62wpZLA8AeiLD4i27hBR2pmMusGKaAYaNtwHFh9VtEjYdatvcFYUVMUiPsYwPYp3bJFEF2T1iGi5YKeiRgvp9cYVhaGoiX1L2dkePvZHshVfUFq8AHozFauWQqo4vtyVjmmoH6B5CX3uMPGDpDcMvJYdjRW2pHRXxnAvTa4nK9iktopvv3axrRZg9PMv2STKbmNsDtx42vZsJxzGQ913dHzk2w6dYnS9QjDJYFzKgDNYDxwWeM8n9gXWbLGXb6e47crjLiq9QC95mMkg9aA3CkNkJ9HGU2vL3xMJUab2eFnyUpFyMm5VAiamywLPQr2gNZAMCLnyqzscbjqFmGvjaAyvMwbTszpn7sgb6LErrv55DLZKoUH8U2sHJpgRvGZDCtpaGwMCLRQWzPZ5N42jqcFaeBkQvwmkaC1ax7sKLFuGopA7TBvNa5sw3sNs2UJw2LiVe44rcAkpm9X5M5JXNVeZ2GNPhfATFF8n2QzNgywPEkLPbUute7exfMSzfSoWJVdckAGnxwsN4ZkQxV9ETMSm79tRvWCr1zNhvy8j82M7TYLzUxLJifcv9RDsHWQhc4cK5FApt7c2hUd1t5WJVN5NdYGX2a4NCU9MsW6cf1cvLfBwFyNMtQhoGS5EJMkCQGPy7JPwwrQmyqPeVTU8AaVzNVKZQQgJAJhKmRTa4GziCTKhzbt8sLnmS16feBgVntzMEX6TjWY5r1CZxfrMhCRzCDJoTFFShYzjEQcfMoNJBmhmjWeRsch7Dg6GShCQkettApFbCh2tDbWgKSqSDuTHtAxdV3Uti2X55zbtj9StnqvuscF98ZeWgBgNzJuwXESThmeEHaGF8BtU8o7bebNhjPRLfkErjBQuRhY6pVXwzWaQZGKAXBsUiEXj4NZxmFzc4GeiHmtQnjjLG7qzsr2xrfz5rpg2NidCYfZdMJrPoGminJUUsPUBx9LQQT7uPcfMUQ3vUu5zSA6bHJqbtHiJrHy2gkC5jcrYS2tmDUzed3sK7JcahBHX8P3BM8omUakRgykv9aisVPgYfcG9zi4VrqvrzBDM4AcUWSD9oRnEFgf83yDdG64jvUqQdrYcVhisCP4KjmQXuVzAPAk5aRNzCRB2Hx2yb88sSZcHNHsSpDApaqfmkRGW3bXzeJcnY8tNHrvBrzvQy7oSJEZhUpBsLZ5NX36ntAHKrAJykKjCC159qhEb4pVnYyRUKJxBTw6rDadmcibVHd2yqcp5cvQ47WCgGkbnuh1PHrhUzVsNjKeKSLhnwGx9MiSnGHBPdhMZPd8zrFayY6t8pJ4fAgBHK3ZJ3nGPuNk14vMq8uCzriRVt1dqs9FiPi8omHuNT7nFsSnnKLFrZr2",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0518",
"sigmaType": "SLong",
"renderedValue": "12"
},
"R4": {
"serializedValue": "0ef501546f6e793a3863366565613a6564373364653a353a313a4d3233322c3135322e35513232392c3138302c3231322c3230332e35513139352c3232372c3136352e352c323232513133362c3231372c3131302e352c3232345138352c3233312c37312e352c3230372e355135382c3138342c34312e352c3136375132352c3135302c33312e352c3132375133382c3130342c33382c37365133382c34382c36322e352c33375138372c32362c3131312e352c3332513133362c33382c3135352e352c3435513137352c35322c3139362c36342e35513231372c37372c3232362c313031513233352c3132352c3233322c3135322e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "546f6e793a3863366565613a6564373364653a353a313a4d3233322c3135322e35513232392c3138302c3231322c3230332e35513139352c3232372c3136352e352c323232513133362c3231372c3131302e352c3232345138352c3233312c37312e352c3230372e355135382c3138342c34312e352c3136375132352c3135302c33312e352c3132375133382c3130342c33382c37365133382c34382c36322e352c33375138372c32362c3131312e352c3332513133362c33382c3135352e352c3435513137352c35322c3139362c36342e35513231372c37372c3232362c313031513233352c3132352c3233322c3135322e355a"
}
},
"spentTransactionId": "888555a2e593dab3892840da802aecbf0e90832ca8f71505f76a91891d02f931",
"mainChain": true
},
{
"boxId": "303eee3a877e9b475ccef7930a1e52682a5a1c2525f6c264da63e9a06da3d119",
"transactionId": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"value": 309000000,
"index": 1,
"globalIndex": 19974099,
"creationHeight": 811056,
"settlementHeight": 811060,
"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: false\n8: false\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 3\n22: 0\n23: 2\n24: 0\n25: 0\n26: 0\n27: false\n28: 1\n29: 1\n30: 0\n31: 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)\n32: 2\n33: 0\n34: 1000\n35: 1000000\n36: 1\n37: 0\n38: 0\n39: 2\n40: 1\n41: 1\n42: false\n43: false\n44: 0\n45: 0\n46: 2\n47: 1\n48: 1000\n49: 1000000\n50: 0\n51: 2\n52: 0\n53: 1\n54: 2\n55: 3\n56: 0\n57: 0\n58: 0\n59: 0\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 0\n66: 2\n67: 0\n68: 2\n69: 1\n70: false\n71: 0\n72: 2\n73: 2\n74: 3\n75: 0\n76: 0\n77: 0\n78: 2\n79: 1\n80: 0\n81: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n82: 0\n83: 1000\n84: 1\n85: 1000\n86: 0\n87: 0\n88: 1\n89: false\n90: false\n91: false\n92: 2\n93: 3\n94: 1000\n95: 1000000\n96: 0\n97: 2\n98: 2\n99: 2\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 0\n113: 3\n114: 0\n115: 1\n116: 2\n117: 0\n118: 1\n119: 2\n120: 3\n121: 1\n122: 3\n123: 0\n124: 1\n125: 2\n126: 0\n127: 1\n128: 2\n129: 3\n130: false\n131: false\n132: false\n133: 3\n134: 0\n135: 0\n136: 0\n137: 2\n138: 0\n139: 0\n140: 0\n141: 2\n142: 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) && box9.R5[Coll[Long]].isDefined\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](7) }\n )} else { placeholder[Boolean](8) }\n }\n val bool8 = func7(placeholder[Int](9))\n val coll9 = placeholder[SigmaProp](10).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](11))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](12))\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](13))\n val l19 = coll17(placeholder[Int](14))\n val l20 = coll17(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\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](17)) == l18) && (coll26(placeholder[Int](18)) == l19)) && (coll26(placeholder[Int](19)) == l20)) && (\n coll26(placeholder[Int](20)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && (l12 != placeholder[Long](21))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](22))._2 == placeholder[Long](23))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](24))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](25))\n ) && (box14.R8[Long].get == placeholder[Long](26))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](27) }\n val bool27 = func7(placeholder[Int](28))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](29))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](30))._1 == placeholder[Coll[Byte]](31)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](32))) {(\n val box32 = OUTPUTS(placeholder[Int](33))\n val l33 = max(l10 * l11 / placeholder[Long](34), placeholder[Long](35))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](36)) && (coll34(placeholder[Int](37))._1 == coll3)) && (coll34(placeholder[Int](38))._2 == placeholder[Long](39))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](40)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](41)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) } || if ((bool8 && (l12 == placeholder[Long](44))) && (l13 == placeholder[Long](45))) { if (OUTPUTS.size > placeholder[Int](46)) {(\n val box32 = OUTPUTS(placeholder[Int](47))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](48), placeholder[Long](49))) && (l33 >= l6)) && (coll15(placeholder[Int](50))._2 == placeholder[Long](51))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](52)) == l18) && (coll37(placeholder[Int](53)) == l19)) && (coll37(placeholder[Int](54)) == l20)) && (coll37(placeholder[Int](55)) == l21)\n }(placeholder[Int](56))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](57))) && (box14.R8[Long].get == placeholder[Long](58))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](59)) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) } } else { placeholder[Boolean](62) }) || if ((bool8 && (l12 == placeholder[Long](63))) && (l13 == placeholder[Long](64))) { (((((((l23 == l10) && (coll15(placeholder[Int](65))._2 == placeholder[Long](66))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](67))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](68)) || ((l32 == placeholder[Long](69)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](70) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](71))) {\n if (i31 > placeholder[Int](72)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](73)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](74)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](75))\n ) && (box14.R8[Long].get == placeholder[Long](76))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](77))._2 == placeholder[Long](78))\n ) && (box29.tokens.size == placeholder[Int](79))\n ) && (box29.tokens(placeholder[Int](80))._1 == placeholder[Coll[Byte]](81))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](82)) <= placeholder[Long](83))\n ) && (box14.R5[Coll[Long]].get(placeholder[Int](84)) <= placeholder[Long](85))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](86))._2 >= coll32(placeholder[Int](87)) + coll32(placeholder[Int](88)) - l18 + l19\n \n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](92))) && (!bool26)) {\n if (i31 > placeholder[Int](93)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](94), placeholder[Long](95))) && (box29.tokens.size == placeholder[Int](96))\n ) && (OUTPUTS(placeholder[Int](97)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](98)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](99)).tokens.size == placeholder[Int](100))\n ) && bool25\n ) && (coll15(placeholder[Int](101))._2 == placeholder[Long](102))\n ) && bool28\n ) && func24(placeholder[Int](103))\n ) && (box14.R7[Long].get == placeholder[Long](104))\n ) && (box14.R8[Long].get == placeholder[Long](105))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool8 && bool27) && (l12 == placeholder[Long](109))) { if (i31 >= placeholder[Int](110)) {(\n val box32 = OUTPUTS(placeholder[Int](111))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](112))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](113))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](114))._2 == placeholder[Long](115))) && (box32.value >= placeholder[Long](116) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](119)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](120)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](121))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](122))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](123))._2 == placeholder[Long](124))) && (box32.value >= placeholder[Long](125) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](128)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](129)) == l21)) } else { placeholder[Boolean](130) }\n )} else { placeholder[Boolean](131) } } else { placeholder[Boolean](132) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](133))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](134))) && (box14.R8[Long].get == placeholder[Long](135))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](136))._2 == placeholder[Long](137))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](138))) && (\n box29.R8[Long].get == placeholder[Long](139)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](140))._2 == placeholder[Long](141))\n )\n } else { placeholder[Boolean](142) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11041e1c0a06",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15,14,5,3]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0510",
"sigmaType": "SLong",
"renderedValue": "8"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "b7aa79c52c30a9ec75dd2678868e359ac135b14283370f10585daa2c53666705",
"mainChain": true
},
{
"boxId": "0aa127d19dca9f84725297aee347945c9d58d56c62f69dfb0f10b5edf24d2778",
"transactionId": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"value": 1000000,
"index": 2,
"globalIndex": 19974100,
"creationHeight": 811056,
"settlementHeight": 811060,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 1,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b7aa79c52c30a9ec75dd2678868e359ac135b14283370f10585daa2c53666705",
"mainChain": true
},
{
"boxId": "1201a5c75a168c305c77bc941b9df5b49b7bd65f1fd59314ad66dc8d68fc780e",
"transactionId": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"value": 1000000,
"index": 3,
"globalIndex": 19974101,
"creationHeight": 811056,
"settlementHeight": 811060,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b7aa79c52c30a9ec75dd2678868e359ac135b14283370f10585daa2c53666705",
"mainChain": true
},
{
"boxId": "a41e190991a328569539dec6d6daff602bbc5fa1e78f5d76ffb28d93f5885c02",
"transactionId": "3ef51bd4bdb4b0d2ad0867f28cb541fa822ff2eca2914d926acfefb0bc19b68b",
"blockId": "f2b5f7e7fb213488140b77c3542629206718d9287331b46692dac088c168f046",
"value": 2000000,
"index": 4,
"globalIndex": 19974102,
"creationHeight": 811056,
"settlementHeight": 811060,
"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": "f75bd3cd8dac2e5d5054b1f2a6611d8b4f366dcf224903afdf5726a7f8b7320b",
"mainChain": true
}
],
"size": 5501,
"isUnconfirmed": false
}