Transaction
ID: 10d59358d7...3544
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.315 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.137 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.215 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.037 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.198 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 951,652
Total coins transferred: 0.452 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000331 ERG
Raw Transaction Data
{
"id": "10d59358d71cf765bd2c7f7138ee55c2e0e66ea26d1d9ebd5a9f68429ffd3544",
"blockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"inclusionHeight": 805081,
"timestamp": 1659219379751,
"index": 20,
"globalIndex": 3650669,
"numConfirmations": 951652,
"inputs": [
{
"boxId": "7aea9c3d02d1cd0f489cbc017a391f490d0ef8e0cf0368ce2859120260ac7a4f",
"value": 315000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"outputTransactionId": "74f5de37ae7217423985f481453470ac740ace3b7965effeac139a3d663f86ab",
"outputIndex": 0,
"outputGlobalIndex": 19660774,
"outputCreatedAt": 805078,
"outputSettledAt": 805081,
"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": "110408080404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,4,2,2]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "0ec7014a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a"
}
}
},
{
"boxId": "c24ab800c53fe2eacfd3aed8541456f86eb9fc3c1a774f539aeb4453c41fbbfd",
"value": 137000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"outputTransactionId": "d26c8bdb8587292627c159b343d7ce065444ed47351a24b4787a122496548f0b",
"outputIndex": 0,
"outputGlobalIndex": 19660777,
"outputCreatedAt": 805079,
"outputSettledAt": 805081,
"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": "110404040400",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,2,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
}
],
"dataInputs": [
{
"boxId": "257ca3e82f53d7342b9afc9938ec0788a65e22fd9ed348906bec8c5314aa4bde",
"value": 1000000,
"index": 0,
"outputBlockId": "1a24a4b8596297b99d6747f7e334e15a9109c9788af16c1d3338cc1838b96c66",
"outputTransactionId": "0e2646daed0d12275fa776c7056fd04b2d4a769a73cef09c84fb9905547faee5",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2029dfb3242f990999cb2a986883ee9433bcedd9a1405a0714b5d824ec2fa3c3e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "29dfb3242f990999cb2a986883ee9433bcedd9a1405a0714b5d824ec2fa3c3e3"
},
"R5": {
"serializedValue": "0e20768031d182f63a951f57bf3bb4a4d8b1dcbbf8ed3d0e9bd1687fea98aa506366",
"sigmaType": "Coll[SByte]",
"renderedValue": "768031d182f63a951f57bf3bb4a4d8b1dcbbf8ed3d0e9bd1687fea98aa506366"
},
"R6": {
"serializedValue": "1105148092f4018092f4018092f4018092f401",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,2000000,2000000,2000000]"
}
}
}
],
"outputs": [
{
"boxId": "b6a1ed4a5ab1a4687fa1a7ea2e69269722beaa0a3ed30e881e9e9bda49dddb44",
"transactionId": "10d59358d71cf765bd2c7f7138ee55c2e0e66ea26d1d9ebd5a9f68429ffd3544",
"blockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"value": 215000000,
"index": 0,
"globalIndex": 19660791,
"creationHeight": 805079,
"settlementHeight": 805081,
"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": "110408080404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,4,2,2]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "0ec7014a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f686e3a6337353061373a3035333263353a313a333a4d3139302c3134352e35513138322c3136362c3135382c3135382e35513133342c3135312c3131352c3138322e355139362c3231342c39332c3138325139302c3135302c35382c3133372e355132362c3132352c34312e352c3130305135372c37352c38332e352c37372e35513131302c38302c3133312c36302e35513135322c34312c3136302e352c3637513136392c39332c3138332e352c313039513139382c3132352c3139302c3134352e355a"
}
},
"spentTransactionId": "fc2e99ef67105c292b840a622db8f454954b89de357ba1973b5f54cc6fecd417",
"mainChain": true
},
{
"boxId": "9c87859c02b4d6f47427e870ae538aa0343f7029bda2bb87cc1dea3b3e3da944",
"transactionId": "10d59358d71cf765bd2c7f7138ee55c2e0e66ea26d1d9ebd5a9f68429ffd3544",
"blockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"value": 37000000,
"index": 1,
"globalIndex": 19660792,
"creationHeight": 805079,
"settlementHeight": 805081,
"ergoTree": "107c04000e203aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a0402058092f401040204000502040801000100040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400040004000402040404060400040204040406050205040400050404000500050001000402040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b0404040005d00f0580897a04020400040005040402040201000100050005000404040205d00f0580897a0400050404000402040404060400050005000500010001000100050005000400050404000504050201000504040605d00f0580897a04000404040404040400040005040400050005000100010001000502040804040400050604000502050404000402040404060402050604000502050404000402040404060100010001000506050005000400050405000500040005040100d81dd601b2db6501fe730000d602e4c6a70608d6037301d604e4c672010611d605b27204730200d6069a73037205d607d9010704d801d609b2a57207009593cbc27209e4c67201040ed801d60adb630872099593b1720a7304d801d60bb2720a730500edededededededed938c720b017203928c720b027306e6c67209040e93b1e4c6720905117307e6c672090608e6c672090705e6c672090805e6c67209090592c17209720673087309d608da720701730ad609d0730bd60ac1a7d60bb27204730c00d60ce4c6a70705d60de4c6a70805d60eb2a5730d00d60fdb6308720ed610e4c6a7040ed611e4c6a70511d612b27211730e00d613b27211730f00d614b27211731000d615b27211731100d616e4c6a70905d617c1720ed618d9011804d801d61ae4c6b2a57218000511ededed93b2721a731200721293b2721a731300721393b2721a731400721493b2721a7315007215d619937217720ad61a95ed7208ec93720c731693720c7317ededededededed7219938cb2720f73180002731993e4c6720e040e7210da721801731a93e4c6720e0608720293e4c6720e0705731b93e4c6720e0805731c93e4c6720e09057216731dd61bb1a5d61cb2a5731e00d61dda720701731fea02d1938cb2db63087201732000017321eb02ea027202d1ececec95edef720891b1a57322d802d61eb2a5732300d61fa29d9c720a720b732473259593c2721e7209d801d620db6308721eededededed93b172207326938cb27220732700017203938cb2722073280002732992c1721e721f93c2b2a5732a00d0720292c1b2a5732b009999720a721f7205732c732d95eded720893720c732e93720d732f9591b1a57330d803d61eb2a5733100d61fc1720ed62099720a721f9593c2721e7209ededededededededed92c1721ea29d9ca272207220720b7332733392721f7206938cb2720f73340002733593e4c6720e040e7210dad9012104d801d623e4c6b2a57221000511ededed93b27223733600721293b27223733700721393b27223733800721493b27223733900721501733a93e4c6720e0608720293e4c6720e0705733b93e4c6720e0805733c93e4c6720e0905721693720d733d733e733f734095eded720893720c734193720d7342ededededededed937217720a938cb2720f73430002734493e4c6720e040e7210da721801734593e4c6720e0608720292e4c6720e0805720693e4c6720e09057216d801d61ee4c6720e0705ec93721e7346ed93721e734790e4c6720e080599720a72067348721ad1ecec95eded720893720c7349ef721a9591721b734a9593c2721c7209ededededededededededed92c1721ca29d9c720d720b734b734c93b1db6308721c734d93c2b2a5734e00d0720292c1b2a5734f00720d93b1db6308b2a573500073517219938cb2720f73520002735393e4c6720e040e7210da721801735493e4c6720e0705735593e4c6720e0805735693e4c6720e0905721673577358735995eded7208721d93720c735a9593721b735bd801d61eb2a5735c009593cbc2721ee4c67201050eecededededededededededededed93e4c6720e040e7210da721801735d93e4c6720e0608720293e4c6720e0705735e93e4c6720e0805720d93e4c6720e09057216938cb2720f735f0002736092c1721e999c7361720d720593e4c6721e0408720293e4c6721e0505721693b2e4c6721e0611736200721293b2e4c6721e0611736300721393b2e4c6721e0611736400721493b2e4c6721e06117365007215ededededededededededededed93e4c6721c040e7210da721801736693e4c6721c0608720293e4c6721c0705736793e4c6721c0805720d93e4c6721c09057216938cb2db6308721c73680002736992c1721e999c736a720d720593e4c6721e0708720293e4c6721e0805721693b2e4c6721e0911736b00721293b2e4c6721e0911736c00721393b2e4c6721e0911736d00721493b2e4c6721e0911736e007215736f7370737195eded7208721d93720c7372ecededededed93e4c6720e040e721093e4c6720e0608720293e4c6720e0705737393e4c6720e0805737493e4c6720e09057216938cb2720f737500027376ededededed93e4c6721c040e721093e4c6721c0608720293e4c6721c0705737793e4c6721c0805737893e4c6721c09057216938cb2db6308721c73790002737a737b",
"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": "110404040400",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,2,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"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": "fc2e99ef67105c292b840a622db8f454954b89de357ba1973b5f54cc6fecd417",
"mainChain": true
},
{
"boxId": "0e88b38ff5df9b306fdac060f8fa6e30ec7023e344dbd04dfe630482264a5252",
"transactionId": "10d59358d71cf765bd2c7f7138ee55c2e0e66ea26d1d9ebd5a9f68429ffd3544",
"blockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"value": 198000000,
"index": 2,
"globalIndex": 19660793,
"creationHeight": 805079,
"settlementHeight": 805081,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 1\n5: 2\n6: 10\n7: 10\n8: 4500\n9: 1\n10: 2\n11: 10\n12: 10\n13: 0\n14: 3\n15: 10\n16: 5\n17: 4\n18: 8\n19: 0\n20: 3\n21: 10\n22: 5\n23: 4\n24: 8\n25: 1\n26: 5\n27: 5\n28: 9\n29: 1\n30: 2\n31: 0\n32: 1\n33: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n34: 0\n35: 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)\n36: 0\n37: 0\n38: 0\n39: 0\n40: true\n41: 0\n42: 3\n43: 1\n44: 2\n45: 1\n46: 3\n47: 1\n48: false\n49: 0\n50: 1\n51: 3\n52: 2\n53: 1\n54: 3\n55: 1\n56: true\n57: 0\n58: 1\n59: 1\n60: 2\n61: 1\n62: 3\n63: false\n64: 0\n65: 1\n66: 1\n67: 2\n68: 1\n69: 3\n70: true\n71: 0\n72: 3\n73: 1\n74: 2\n75: 1\n76: 3\n77: 1\n78: false\n79: 0\n80: 1\n81: 3\n82: 2\n83: 1\n84: 3\n85: 1\n86: true\n87: 0\n88: 1\n89: 1\n90: 2\n91: 1\n92: 3\n93: false\n94: 0\n95: 1\n96: 1\n97: 2\n98: 1\n99: 3\n100: 2\n101: 3\n102: 2\n103: 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 coll24 = box2.R5[Coll[Long]].get\n val bool25 = bi21 <= bi22\n val coll26 = box4.R5[Coll[Long]].get\n val l27 = box1.R6[Coll[Long]].get(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 placeholder[SigmaProp](33) || sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](34))._1 == placeholder[Coll[Byte]](35), blake2b256(box2.propositionBytes) == coll3, box2.R6[SigmaProp].get == SELF.R4[\n SigmaProp\n ].get, box2.R7[Long].get == placeholder[Long](36), box2.R8[Long].get == placeholder[Long](37), 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](38), box4.R8[Long].get == placeholder[Long](\n 39\n ), box4.R9[Long].get == SELF.R8[Long].get, anyOf(\n Coll[Boolean](\n (\n (\n ((bool23 && placeholder[Boolean](40)) && (coll24(placeholder[Int](41)) == l18 + placeholder[Long](42))) && (coll24(placeholder[Int](43)) == l12)\n ) && (coll24(placeholder[Int](44)) == l13 + placeholder[Long](45))\n ) && (coll24(placeholder[Int](46)) == l19 + placeholder[Long](47)), (\n (\n ((bool23 && placeholder[Boolean](48)) && (coll24(placeholder[Int](49)) == l18)) && (coll24(placeholder[Int](50)) == l12 + placeholder[Long](51))\n ) && (coll24(placeholder[Int](52)) == l13 + placeholder[Long](53))\n ) && (coll24(placeholder[Int](54)) == l19 + placeholder[Long](55)), (\n (\n ((bool25 && placeholder[Boolean](56)) && (coll24(placeholder[Int](57)) == l18 + placeholder[Long](58))) && (coll24(placeholder[Int](59)) == l12)\n ) && (coll24(placeholder[Int](60)) == l13 + placeholder[Long](61))\n ) && (coll24(placeholder[Int](62)) == l19), (\n (\n ((bool25 && placeholder[Boolean](63)) && (coll24(placeholder[Int](64)) == l18)) && (coll24(placeholder[Int](65)) == l12 + placeholder[Long](66))\n ) && (coll24(placeholder[Int](67)) == l13 + placeholder[Long](68))\n ) && (coll24(placeholder[Int](69)) == l19)\n )\n ), anyOf(\n Coll[Boolean](\n (\n (\n ((bool25 && placeholder[Boolean](70)) && (coll26(placeholder[Int](71)) == l15 + placeholder[Long](72))) && (coll26(placeholder[Int](73)) == l7)\n ) && (coll26(placeholder[Int](74)) == l8 + placeholder[Long](75))\n ) && (coll26(placeholder[Int](76)) == l16 + placeholder[Long](77)), (\n (\n ((bool25 && placeholder[Boolean](78)) && (coll26(placeholder[Int](79)) == l15)) && (coll26(placeholder[Int](80)) == l7 + placeholder[Long](81))\n ) && (coll26(placeholder[Int](82)) == l8 + placeholder[Long](83))\n ) && (coll26(placeholder[Int](84)) == l16 + placeholder[Long](85)), (\n (\n ((bool23 && placeholder[Boolean](86)) && (coll26(placeholder[Int](87)) == l15 + placeholder[Long](88))) && (coll26(placeholder[Int](89)) == l7)\n ) && (coll26(placeholder[Int](90)) == l8 + placeholder[Long](91))\n ) && (coll26(placeholder[Int](92)) == l16), (\n (\n ((bool23 && placeholder[Boolean](93)) && (coll26(placeholder[Int](94)) == l15)) && (coll26(placeholder[Int](95)) == l7 + placeholder[Long](96))\n ) && (coll26(placeholder[Int](97)) == l8 + placeholder[Long](98))\n ) && (coll26(placeholder[Int](99)) == l16)\n )\n ), anyOf(\n Coll[Boolean](\n (bool23 && (box2.value == l29 + placeholder[Long](100) * l28 - placeholder[Long](101) * l27)) && (box4.value == l30), (\n bool25 && (box2.value == l29)\n ) && (box4.value == l30 + placeholder[Long](102) * l28 - placeholder[Long](103) * l27)\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R6": {
"serializedValue": "110408080404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,4,2,2]"
},
"R8": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R7": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R9": {
"serializedValue": "110404040400",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,2,2,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
},
"spentTransactionId": "fc2e99ef67105c292b840a622db8f454954b89de357ba1973b5f54cc6fecd417",
"mainChain": true
},
{
"boxId": "9fda54a8e29b1e80f1c4b08bc89d78429266911e09579c0a9edc4f99df34b141",
"transactionId": "10d59358d71cf765bd2c7f7138ee55c2e0e66ea26d1d9ebd5a9f68429ffd3544",
"blockId": "67b4697eee50142ce9b7b67394b67a0f69a749ce1dcfe9730041c1f8af584b6c",
"value": 2000000,
"index": 3,
"globalIndex": 19660794,
"creationHeight": 805079,
"settlementHeight": 805081,
"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": "eaab3a0ef49bb04f287d3e81062a754fc9f007edd3287c36314b32101bfe0fc0",
"mainChain": true
}
],
"size": 6043,
"isUnconfirmed": false
}