Transaction
ID: f99c2dfd26...f30f
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.114 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 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:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 622,237
Total coins transferred: 0.116 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000617 ERG
Raw Transaction Data
{
"id": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"inclusionHeight": 1134001,
"timestamp": 1699916657404,
"index": 33,
"globalIndex": 6115410,
"numConfirmations": 622237,
"inputs": [
{
"boxId": "e70e502e36a6754d7bd830089832575ae5317003d3dc30386fd1e7815425cc46",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d40f68aeae05036846880bd13d3c096d98d17b4a9965700564c3da5cca4f45ec",
"outputTransactionId": "1acba72c3b865d104ce863457c07037ece515d2eaa3a2e60aa9e3856987a6c73",
"outputIndex": 0,
"outputGlobalIndex": 34247880,
"outputCreatedAt": 1133657,
"outputSettledAt": 1133659,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(70,-27,82,-90,62,69,108,-62,13,-22,-90,69,-38,-22,113,43,86,-16,76,25,107,-80,31,-82,-75,52,62,-12,22,45,-115,-55)\n19: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-109,-51,-87,11,79,-30,79,7,93,121,97,-6,13,29,102,47,-36,126,19,73,-45,19,5,-101,-106,24,-18,-53,22,-59,-22,-34)\n50: 2\n51: 1\n52: 0\n53: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f091",
"index": 0,
"amount": 1,
"name": "Paideia Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 1,
"amount": 999999999125,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105e6b7cbb79e3fa008d60d8098ec88f96280f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1086416580083,528,875,1699876800000,86400000]"
}
}
},
{
"boxId": "419339349f69e2a7d57ebde1324cf564a75eef6f2745a6b62082e370f0d4d85b",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d40f68aeae05036846880bd13d3c096d98d17b4a9965700564c3da5cca4f45ec",
"outputTransactionId": "806a7aac248a8bc3f8a75806bee82a5e322d50ce39483834d1d1dd20bbe9b452",
"outputIndex": 31,
"outputGlobalIndex": 34248350,
"outputCreatedAt": 1133657,
"outputSettledAt": 1133659,
"ergoTree": "101f040004000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040204000400040001000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040004000402040204000400050204020402040604000100040404020402010001010100040201000100d807d601b2a4730000d6028cb2db6308720173010001d6039372027302d604e4c6a70411d605e4c6a7050ed60695ef7203ed93c5b2a4730300c5a78fb2e4c6b2a57304000411730500b2e4c6720104117306007307d6079372027308d1ecec957203d80ad608b2a5dc0c1aa402a7730900d609e4c672080411d60adb63087208d60bb2720a730a00d60cdb6308a7d60db2720c730b00d60eb2720a730c00d60fb2720c730d00d6107e8c720f0206d611e4c6720104119683090193c17208c1a793c27208c2a793b27209730e009ab27204730f00731093e4c67208050e720593b27209731100b27204731200938c720b018c720d01938c720b028c720d02938c720e018c720f01937e8c720e02069a72109d9c7eb272117313000672107eb27211731400067315957206d801d608b2a5731600ed72079593c27208c2a7d801d609c67208050e95e67209ed93e472097205938cb2db6308b2a57317007318000172057319731a731b9595efec7206720393c5b2a4731c00c5a7731d7207731e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 1425903317,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102a008e4a4a2e6a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[528,1654340733234]"
},
"R5": {
"serializedValue": "0e2025fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890",
"sigmaType": "Coll[SByte]",
"renderedValue": "25fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890"
}
}
},
{
"boxId": "50ab4c870afb27c86f5259b15f63e379e31c65e8345eac24a14f556518cd0ea0",
"value": 114000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"outputTransactionId": "7481b995e18485ec848a058c90257759542406dc51cf9bbc956a259a2c11dc9f",
"outputIndex": 0,
"outputGlobalIndex": 34260554,
"outputCreatedAt": 1133999,
"outputSettledAt": 1134001,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n3: 1\n4: 0\n5: 1\n6: 1\n7: 1\n8: 0\n9: 2\n10: 1\n11: 1\n12: 0\n13: true\n14: 0\n15: Coll(-12,60,-23,-122,-83,-30,10,-16,-75,-53,-57,-17,-83,-16,-37,-7,-46,116,-62,76,-48,64,48,101,-13,-49,-24,101,-128,-61,-62,-20)\n16: 100000000\n17: 3\n18: 2000000\n19: 4\n20: 2000000\n21: 5\n22: false\n23: 0\n24: 1000000\n25: 2\n26: false",
"ergoTreeScript": "{\n val coll1 = SELF.R5[Coll[Byte]].get\n val bool2 = if (INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val box2 = OUTPUTS(placeholder[Int](3))\n val l3 = SELF.R4[Coll[Long]].get(placeholder[Int](4))\n val i4 = if (INPUTS(placeholder[Int](5)).tokens(placeholder[Int](6))._2 > l3) { placeholder[Int](7) } else { placeholder[Int](8) }\n val box5 = OUTPUTS(placeholder[Int](9) + i4)\n allOf(\n Coll[Boolean](\n box2.propositionBytes == coll1, if (i4 == placeholder[Int](10)) { box2.tokens(placeholder[Int](11)) == SELF.tokens(placeholder[Int](12)) } else {\n placeholder[Boolean](13)\n }, box2.tokens(placeholder[Int](14))._2 == l3, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](15), box5.value == placeholder[Long](\n 16\n ), OUTPUTS(placeholder[Int](17) + i4).value == placeholder[Long](18), OUTPUTS(placeholder[Int](19) + i4).value == placeholder[Long](\n 20\n ), OUTPUTS.size == placeholder[Int](21) + i4\n )\n )\n )} else { placeholder[Boolean](22) }\n sigmaProp(bool2 || if (!bool2) {(\n val box3 = OUTPUTS(placeholder[Int](23))\n allOf(Coll[Boolean](box3.propositionBytes == coll1, box3.value == SELF.value - placeholder[Long](24), box3.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](25)))\n )} else { placeholder[Boolean](26) })\n}",
"address": "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",
"assets": [
{
"tokenId": "25fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101809e8a9a03",
"sigmaType": "Coll[SLong]",
"renderedValue": "[430000000]"
},
"R5": {
"serializedValue": "0e240008cd0289f13c70a77f3e8e8df5a712f99a19cf9e2b781b25d6f486addc20672b0dc7e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0289f13c70a77f3e8e8df5a712f99a19cf9e2b781b25d6f486addc20672b0dc7e0"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "4f388fa6a4ab291326e3a080767cd7885857f9ca2a0b9a7536294860e6f64112",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 1000000,
"index": 0,
"globalIndex": 34260570,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(70,-27,82,-90,62,69,108,-62,13,-22,-90,69,-38,-22,113,43,86,-16,76,25,107,-80,31,-82,-75,52,62,-12,22,45,-115,-55)\n19: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-109,-51,-87,11,79,-30,79,7,93,121,97,-6,13,29,102,47,-36,126,19,73,-45,19,5,-101,-106,24,-18,-53,22,-59,-22,-34)\n50: 2\n51: 1\n52: 0\n53: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f091",
"index": 0,
"amount": 1,
"name": "Paideia Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 1,
"amount": 999999999125,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105e699c19d9b3fa008d60d8098ec88f96280f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1085986580083,528,875,1699876800000,86400000]"
}
},
"spentTransactionId": "4292ba3eb023d6431c4ffca5b0673e831f9d653d502e55ca14bd9cecd1e14827",
"mainChain": true
},
{
"boxId": "20e667da336e9eecd2e4cf7c665c99a507e15051164b182df5f0de759892f0cd",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 10000000,
"index": 1,
"globalIndex": 34260571,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"ergoTree": "0008cd0289f13c70a77f3e8e8df5a712f99a19cf9e2b781b25d6f486addc20672b0dc7e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(89f13c,56c736,...)))}",
"address": "9fZp4pXSHnsqoKKnNg1Kby8C6x2v2BJEK7U71rK9fJ2Gv7ARw5G",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 430000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "25fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890",
"index": 1,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5993182ddc0f78cce0fe32d74637ac9fe920a4d59f04287eda41c3ff91f02b8d",
"mainChain": true
},
{
"boxId": "eefbfa4fe716397ba64e62e16c40b1e5eb8b353bb8ff1107fc4a9682cef9d1b0",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 1000000,
"index": 2,
"globalIndex": 34260572,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 995903317,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102a008e4a4a2e6a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[528,1654340733234]"
},
"R5": {
"serializedValue": "0e2025fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890",
"sigmaType": "Coll[SByte]",
"renderedValue": "25fe729c1fefbcf8ad535806877f8c1c225780ae2705fe2a9b75deeb4cfc7890"
}
},
"spentTransactionId": "2846cbd6cc551eac807fe1a2993ec8574ae44a2dec955f52e3b1b1a45d3927f0",
"mainChain": true
},
{
"boxId": "b8a015b1bfa6fe5e005ae69ec19d2ab96840161241e33045a95ef6d333f20a88",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 100000000,
"index": 3,
"globalIndex": 34260573,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "940a5e4c06d73755b0519ea47918d47cf1005c8156e6dbd99b5e7d9af02885d3",
"mainChain": true
},
{
"boxId": "81389c5fe3bae69023cf565039ae10f7b53030aa4da1ca8a71915945d7b72a46",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 2000000,
"index": 4,
"globalIndex": 34260574,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "4dd21e4832605cf286aaeec6a75c834fa404fbb8781dc41444faa8a6d51d6a9a",
"mainChain": true
},
{
"boxId": "88fa766ce79f6d343a61d5e4b289d84ce50582a55f329f54a1711643328a50ca",
"transactionId": "f99c2dfd26ee5aa066366b7e3be7a79e6f94ddb77a53dc93d5be59dfc68af30f",
"blockId": "39534639ab5555ff43df6d0d1000015a2a3afad8eaf23fae519df303ebc29178",
"value": 2000000,
"index": 5,
"globalIndex": 34260575,
"creationHeight": 1133999,
"settlementHeight": 1134001,
"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": "77693e9496d19dba3267353e8850006532723a2b6fd56f98bda9240fa01fdaa6",
"mainChain": true
}
],
"size": 3243,
"isUnconfirmed": false
}