Transaction
ID: 5fb84b7e27...b2ed
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.201 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.27911 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.201 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:
0.27611 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 948,263
Total coins transferred: 0.48011 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000656 ERG
Raw Transaction Data
{
"id": "5fb84b7e27c6cc0b0d936cf00312d44e6f2485de1828e6cac7e032eeba0eb2ed",
"blockId": "a538be4c5b5392b1c95a5f6fd9933e660c896eba751a17216e4d5addb30d5b38",
"inclusionHeight": 810082,
"timestamp": 1659824012544,
"index": 11,
"globalIndex": 3699037,
"numConfirmations": 948263,
"inputs": [
{
"boxId": "07cd97d9bd0b6096989a20ba0b303af9256198dbf62d61c71d5d8b8bc2635ab6",
"value": 201000000,
"index": 0,
"spendingProof": "ee47ac6cddf30bf3fd550932faca0fa045d2dcc19b40ccdc40b7ea3d598cfbadbf1cbf22af639a45d7931f2de2f6a8b5624e8a0e14548ae7",
"outputBlockId": "ac8d2a53a64483840e9f34010dbfac4d8ecf49a11ec9190712c152a059926611",
"outputTransactionId": "2d4e17e982ebe762ed9dc90c9b35e1c16b8c501e0ce57a271f3124b64b1ffd5b",
"outputIndex": 0,
"outputGlobalIndex": 19904773,
"outputCreatedAt": 809702,
"outputSettledAt": 809704,
"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": "110404040402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,2,2,1]"
},
"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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"
}
}
},
{
"boxId": "a5566d7ec534005ce18f192fe23454eae0ab841f02dc56720c571e4bdd297921",
"value": 279110000,
"index": 1,
"spendingProof": "300baf76691587558ea5c379390b5fa7aa447c8a2c222c05df1df4152e7f01a9641f109c2479f3ab3d785d05c8dd9ea1be6334f5644da906",
"outputBlockId": "1d901c9a15e46fb5c2679a407875fd04cc85b041185e0067c43e5173469342c7",
"outputTransactionId": "576bf0dd8c3529a3d918cfb998304e865f6a8ae3a7d33707ac0efb9efe4c5458",
"outputIndex": 3,
"outputGlobalIndex": 19914626,
"outputCreatedAt": 809899,
"outputSettledAt": 809901,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 6,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"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": "f3ea454255c51533e32079611cb81763f1e5ad726d0c4975cff55cd009f4d34c",
"transactionId": "5fb84b7e27c6cc0b0d936cf00312d44e6f2485de1828e6cac7e032eeba0eb2ed",
"blockId": "a538be4c5b5392b1c95a5f6fd9933e660c896eba751a17216e4d5addb30d5b38",
"value": 201000000,
"index": 0,
"globalIndex": 19926220,
"creationHeight": 810080,
"settlementHeight": 810082,
"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}",
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"assets": [
{
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"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110408060402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,3,2,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
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"sigmaType": "SLong",
"renderedValue": "8"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "f14a9b64516eb3eac044d6d783d0f073d6f877c2078dc72a7aa5b926e3d89386",
"mainChain": true
},
{
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"transactionId": "5fb84b7e27c6cc0b0d936cf00312d44e6f2485de1828e6cac7e032eeba0eb2ed",
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"value": 1000000,
"index": 1,
"globalIndex": 19926221,
"creationHeight": 810080,
"settlementHeight": 810082,
"ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
"address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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"mainChain": true
},
{
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"transactionId": "5fb84b7e27c6cc0b0d936cf00312d44e6f2485de1828e6cac7e032eeba0eb2ed",
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"value": 276110000,
"index": 2,
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"creationHeight": 810080,
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"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"index": 0,
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"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
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},
{
"boxId": "b7a1e4b330ebcfa996a75b0680d31d5d3b6aa4301b24310496d8b7f4fa387b52",
"transactionId": "5fb84b7e27c6cc0b0d936cf00312d44e6f2485de1828e6cac7e032eeba0eb2ed",
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"assets": [],
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"spentTransactionId": "42f386be47889e82e19b361a3261f97697c681bdd7041ceb867310f414aca3d8",
"mainChain": true
}
],
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}