Transaction
ID: 17eb11d653...c58a
Inputs (4)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1268 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1258 ERG
Transaction Details
Confirmations: 1,083,676
Total coins transferred: 0.1298 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000327 ERG
Raw Transaction Data
{
"id": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"inclusionHeight": 690693,
"timestamp": 1645434451377,
"index": 12,
"globalIndex": 2684112,
"numConfirmations": 1083676,
"inputs": [
{
"boxId": "2cb67975504f7ead023fcdec5e5a3ec95d08d81e60411aa8c02d3f642cc78ad5",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8e526e830cb956b57583bfa902418c9655bdf22314af859b181f942b96697e43",
"outputTransactionId": "3c6620b781f787007c35ac9945231d108acbdabc1bfbbf776e7b0abaf0e245f4",
"outputIndex": 0,
"outputGlobalIndex": 13468563,
"outputCreatedAt": 690681,
"outputSettledAt": 690684,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(0,-13,119,56,32,-59,0,-73,-34,-85,88,54,2,-59,40,85,94,60,34,67,26,-107,-64,1,-9,-20,69,66,1,38,-124,53)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-39,-34,121,-115,54,-47,89,22,-34,104,-55,-63,-10,54,99,-55,-1,111,67,-3,37,110,102,80,-14,-78,5,-116,-114,66,117,57)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(21,-2,-78,-27,35,-12,30,112,-11,96,-91,19,-83,-41,-34,-35,-22,-88,55,23,16,-18,59,-125,-36,-67,6,36,121,-15,-32,-46)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(21,-27,-27,-5,97,61,-62,-64,25,76,-118,-6,-8,0,123,-78,-17,79,120,-74,-1,4,-95,-19,99,-90,3,-15,-65,-33,35,-114)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 1\n76: 0\n77: 0\n78: 0\n79: 1\n80: 1\n81: 2\n82: 2\n83: 1\n84: 0\n85: 3\n86: 3\n87: 1\n88: 0\n89: 0\n90: 2\n91: 0\n92: 1\n93: 1000\n94: 0\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val tuple38 = coll24(placeholder[Int](75))\n val l39 = tuple38._2 - l35\n val bool40 = l39 == placeholder[Long](76)\n val coll41 = tuple38._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](77), l31 > placeholder[Long](78), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple42: (Coll[Byte], Long)) => tuple42._1 == box23.R5[Coll[Byte]].get }\n ), l28 == l27 - l35, coll10(placeholder[Int](79)) == coll11(placeholder[Int](80)), coll10(placeholder[Int](81)) == coll11(\n placeholder[Int](82)\n ) - if (bool40) { placeholder[Long](83) } else { placeholder[Long](84) }, coll10(placeholder[Int](85)) == coll11(\n placeholder[Int](86)\n ), l15 == l12 + if (bool40) { placeholder[Long](87) } else {\n placeholder[Long](88)\n }, box1.propositionBytes == box37.propositionBytes, coll4 == coll41, l17 == l35 - l36, if (l39 > placeholder[Long](89)) {(\n val box42 = OUTPUTS(placeholder[Int](90))\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](91))\n val tuple45 = coll43(placeholder[Int](92))\n val coll46 = box42.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box42.value == box23.value, tuple44._1 == coll26, tuple44._2 == tuple25._2, tuple45._1 == coll41, tuple45._2 == l39, l39 >= placeholder[\n Long\n ](93), coll46(placeholder[Int](94)) == coll32(placeholder[Int](95)), coll46(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "15e22abf710ae825719bb86ce7ae51217900a340c6980f6931a4b97012ab3cde",
"index": 0,
"amount": 1,
"name": "StakeTest2 Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1611264009b8db2c64b4a7f33beb215d5046e4b799bd651d4881e2412994ea69",
"index": 1,
"amount": 999999999,
"name": "StakeTest2 Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105a09c010002daeeadb6e35f80dddb01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,0,1,1645432126381,1800000]"
}
}
},
{
"boxId": "c474c2f3e12917153d29ce6e2f1f574e22cd406c386db6aa0e0be910f8a4707f",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "2f562dec54bc6e8f06302b60e02877cdea4dcbcdd99bbb0bbfa229b3fe6f950a",
"outputTransactionId": "6c0b724b2d03f8b1b66479b442d5322c080544dde74c30f98462730bf8c11af0",
"outputIndex": 2,
"outputGlobalIndex": 13468149,
"outputCreatedAt": 690670,
"outputSettledAt": 690672,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(21,-30,42,-65,113,10,-24,37,113,-101,-72,108,-25,-82,81,33,121,0,-93,64,-58,-104,15,105,49,-92,-71,112,18,-85,60,-34)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtaksT1w3JgEAnanNkMc4ovYmywYoUB5GH23mjoRmQoL7J8F2y7ZpEvx3ucr4pHbuQXWVXp4WRHVE3haZsVjaA7mfJZGmByD6Qrx9cMSiorV6xWJtR7WJfMqN1bqWRXMM3ADUsirkm6GUx2fhEXEmuyPW55v246hr2JHAG8xrzHuH3dvrmche36a2kjGtw7EEhUUNRJFcTz2SZsqUkEBXpsU7EnzREDmecqPHKqc6sD4B1ybVCa98sqikpRBVVgC1pxD9uMKHbyYWSZSeJCZJxdzEV7suadtmq6YnEEWck7a2CT92W3Tzk8xx2d2JiibMTRd35UAmB2SiLn5Yqx35LrCCZW6afQm696XXLUCq9nwGD5Ssrzz1hvnS9AJDRJCjf7qJmp3BmCW5hTM9QjXZmCBw7ib",
"assets": [
{
"tokenId": "15feb2e523f41e70f560a513add7deddeaa8371710ee3b83dcbd062479f1e0d2",
"index": 0,
"amount": 1,
"name": "StakeTest2 Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00f3773820c500b7deab583602c528555e3c22431a95c001f7ec454201268435",
"index": 1,
"amount": 32100000000,
"name": "StakeTest2",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[29300000]"
}
}
},
{
"boxId": "d29faed772d913d3061f38542335c26393e61efeda0159c2d4dbbfea9399900e",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2f562dec54bc6e8f06302b60e02877cdea4dcbcdd99bbb0bbfa229b3fe6f950a",
"outputTransactionId": "6c0b724b2d03f8b1b66479b442d5322c080544dde74c30f98462730bf8c11af0",
"outputIndex": 1,
"outputGlobalIndex": 13468148,
"outputCreatedAt": 690670,
"outputSettledAt": 690672,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,-13,119,56,32,-59,0,-73,-34,-85,88,54,2,-59,40,85,94,60,34,67,26,-107,-64,1,-9,-20,69,66,1,38,-124,53)\n2: 0\n3: Coll(21,-30,42,-65,113,10,-24,37,113,-101,-72,108,-25,-82,81,33,121,0,-93,64,-58,-104,15,105,49,-92,-71,112,18,-85,60,-34)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(22,17,38,64,9,-72,-37,44,100,-76,-89,-13,59,-21,33,93,80,70,-28,-73,-103,-67,101,29,72,-127,-30,65,41,-108,-22,105)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "15e5e5fb613dc2c0194c8afaf8007bb2ef4f78b6ff04a1ed63a603f1bfdf238e",
"index": 0,
"amount": 1,
"name": "StakeTest2 Emission",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104000100c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,-1,0,29300000]"
}
}
},
{
"boxId": "e88844fc9ed68a7cf4e85fb50603b77074373745da2800d6bf1a1684de623934",
"value": 126800000,
"index": 3,
"spendingProof": "254d6d53bfc02dfcd80fe5dfa1824070c9743e0eaca77842e1b025224bb9ec961305fa5ddfc6905bd94e502a21572037b7ff052d9ec6472e",
"outputBlockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"outputTransactionId": "09238cde38646b4c109b9f2a92bfc9ccb68b03e88949b68acaa90feb5f5bcab7",
"outputIndex": 2,
"outputGlobalIndex": 13469510,
"outputCreatedAt": 690691,
"outputSettledAt": 690693,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "ad2b89004b45542bf9acf0e7062393107297d573e7edee23049022e3dc85615f",
"transactionId": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"value": 1000000,
"index": 0,
"globalIndex": 13469534,
"creationHeight": 690691,
"settlementHeight": 690693,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(0,-13,119,56,32,-59,0,-73,-34,-85,88,54,2,-59,40,85,94,60,34,67,26,-107,-64,1,-9,-20,69,66,1,38,-124,53)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-39,-34,121,-115,54,-47,89,22,-34,104,-55,-63,-10,54,99,-55,-1,111,67,-3,37,110,102,80,-14,-78,5,-116,-114,66,117,57)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(21,-2,-78,-27,35,-12,30,112,-11,96,-91,19,-83,-41,-34,-35,-22,-88,55,23,16,-18,59,-125,-36,-67,6,36,121,-15,-32,-46)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(21,-27,-27,-5,97,61,-62,-64,25,76,-118,-6,-8,0,123,-78,-17,79,120,-74,-1,4,-95,-19,99,-90,3,-15,-65,-33,35,-114)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 1\n76: 0\n77: 0\n78: 0\n79: 1\n80: 1\n81: 2\n82: 2\n83: 1\n84: 0\n85: 3\n86: 3\n87: 1\n88: 0\n89: 0\n90: 2\n91: 0\n92: 1\n93: 1000\n94: 0\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val tuple38 = coll24(placeholder[Int](75))\n val l39 = tuple38._2 - l35\n val bool40 = l39 == placeholder[Long](76)\n val coll41 = tuple38._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](77), l31 > placeholder[Long](78), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple42: (Coll[Byte], Long)) => tuple42._1 == box23.R5[Coll[Byte]].get }\n ), l28 == l27 - l35, coll10(placeholder[Int](79)) == coll11(placeholder[Int](80)), coll10(placeholder[Int](81)) == coll11(\n placeholder[Int](82)\n ) - if (bool40) { placeholder[Long](83) } else { placeholder[Long](84) }, coll10(placeholder[Int](85)) == coll11(\n placeholder[Int](86)\n ), l15 == l12 + if (bool40) { placeholder[Long](87) } else {\n placeholder[Long](88)\n }, box1.propositionBytes == box37.propositionBytes, coll4 == coll41, l17 == l35 - l36, if (l39 > placeholder[Long](89)) {(\n val box42 = OUTPUTS(placeholder[Int](90))\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](91))\n val tuple45 = coll43(placeholder[Int](92))\n val coll46 = box42.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box42.value == box23.value, tuple44._1 == coll26, tuple44._2 == tuple25._2, tuple45._1 == coll41, tuple45._2 == l39, l39 >= placeholder[\n Long\n ](93), coll46(placeholder[Int](94)) == coll32(placeholder[Int](95)), coll46(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "15e22abf710ae825719bb86ce7ae51217900a340c6980f6931a4b97012ab3cde",
"index": 0,
"amount": 1,
"name": "StakeTest2 Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1611264009b8db2c64b4a7f33beb215d5046e4b799bd651d4881e2412994ea69",
"index": 1,
"amount": 999999999,
"name": "StakeTest2 Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105e0f0f91b0202dacb89b8e35f80dddb01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[29310000,1,1,1645433926381,1800000]"
}
},
"spentTransactionId": "7ca4f33b24806480fd41cfacb3a4058cff72d1cedb0a5bad5640b53bb6c6f43c",
"mainChain": true
},
{
"boxId": "116585f6202f47c03ecc00ecac35930be516d28568e9b27badfbb46cb613692c",
"transactionId": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"value": 1000000,
"index": 1,
"globalIndex": 13469535,
"creationHeight": 690691,
"settlementHeight": 690693,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(21,-30,42,-65,113,10,-24,37,113,-101,-72,108,-25,-82,81,33,121,0,-93,64,-58,-104,15,105,49,-92,-71,112,18,-85,60,-34)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtaksT1w3JgEAnanNkMc4ovYmywYoUB5GH23mjoRmQoL7J8F2y7ZpEvx3ucr4pHbuQXWVXp4WRHVE3haZsVjaA7mfJZGmByD6Qrx9cMSiorV6xWJtR7WJfMqN1bqWRXMM3ADUsirkm6GUx2fhEXEmuyPW55v246hr2JHAG8xrzHuH3dvrmche36a2kjGtw7EEhUUNRJFcTz2SZsqUkEBXpsU7EnzREDmecqPHKqc6sD4B1ybVCa98sqikpRBVVgC1pxD9uMKHbyYWSZSeJCZJxdzEV7suadtmq6YnEEWck7a2CT92W3Tzk8xx2d2JiibMTRd35UAmB2SiLn5Yqx35LrCCZW6afQm696XXLUCq9nwGD5Ssrzz1hvnS9AJDRJCjf7qJmp3BmCW5hTM9QjXZmCBw7ib",
"assets": [
{
"tokenId": "15feb2e523f41e70f560a513add7deddeaa8371710ee3b83dcbd062479f1e0d2",
"index": 0,
"amount": 1,
"name": "StakeTest2 Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00f3773820c500b7deab583602c528555e3c22431a95c001f7ec454201268435",
"index": 1,
"amount": 32070700000,
"name": "StakeTest2",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[29300000]"
}
},
"spentTransactionId": "b04e1ff67ef646f4bad4b04507cfb323be2f80af214475fe8bb0e5058e3b59a2",
"mainChain": true
},
{
"boxId": "b311553496a9ceea78f5b5877622f91d478646b89265040ccdbe607844eef67d",
"transactionId": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"value": 1000000,
"index": 2,
"globalIndex": 13469536,
"creationHeight": 690691,
"settlementHeight": 690693,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,-13,119,56,32,-59,0,-73,-34,-85,88,54,2,-59,40,85,94,60,34,67,26,-107,-64,1,-9,-20,69,66,1,38,-124,53)\n2: 0\n3: Coll(21,-30,42,-65,113,10,-24,37,113,-101,-72,108,-25,-82,81,33,121,0,-93,64,-58,-104,15,105,49,-92,-71,112,18,-85,60,-34)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(22,17,38,64,9,-72,-37,44,100,-76,-89,-13,59,-21,33,93,80,70,-28,-73,-103,-67,101,29,72,-127,-30,65,41,-108,-22,105)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "xhRNa2Wo13BS8x8Sju6h39EgwQp9vs4S8t1NcSM9u2K5koWsG3zP3fxoWoYZtA35ybStvoDaviLzMfpnHNr6oTgwVkH4scwvsKFFp9ALWZr1NtD1iUGux75SnHAVRRejA2Kh9ERfPxQwsJdUfmZftBRE2A7J9NxVB9pcPcUo2B1B6KZyyVtH9Atiw8PHBogAhG8Mrx4e4XtHXzTpjV8EmiHHPWq7GnZ1m1NLuQaJgcvAgujUn2AYtgjwGEd1P4Ygq4tFtmeScAUFeZAwJwRHVtidWAnbr3YvAQGPpQDhKmHRx7smcuCpGabG6VCx7ihinVBqn65d8G7W3ew8Hf5ssciWnPQfVj37WWVAUBxkQCkhcpHhbwbuPrCH5mSj74u1HWZhsRkYmb7RuncwkrGDPiBFSipeJwDnCAQRe4fhp6CZ45hxnB5dQvjUASv9yCcSfkyatckLF6qkdbpNGT5mTsTw83FEvSMdfsrz7FSjBQCd3iaxhgsKENFjaSNz5LPo6h5SjdMCYa3uuhjsDkBnaeLrLNxgLKWUdxYTvSbRgdD2szuAdTequohktBrzeHTFKeegDtuSr5ALWRKmpn3VBQz3f9msazx5xEGQeCtm2Ru3aYcP4hcyEYFnYW3KP1RdniC4W1CPaTruWoBf3BtiDf7LwPM7rjRfAjKW132b3QCGmbZc67aHh5SqzmALibXY5Ln2m2XvAUsXrESbsfzav1r3Uw5rLwhkZ3wfe2hVG7Q7K5ZyvbXpA36mL4G9ASPRmHFkQTC3gqJhv5n2mZEe2S2x4RuYAGyTRpYHWBo4hVputpSQtxBgK5QF1cfnLTY9SbELX4u8yK14iizgUuodYfFwYTFt54Lky4h5AHzfB7zVAR1dHkFBWGtUvZsERtspdaUhCbZ9dhEbGbkCuYKpXbtu73853rC3GKm3q4WUGShooJP841xKhw9KFEMc97wSGC4co3oHmnS8Qz",
"assets": [
{
"tokenId": "15e5e5fb613dc2c0194c8afaf8007bb2ef4f78b6ff04a1ed63a603f1bfdf238e",
"index": 0,
"amount": 1,
"name": "StakeTest2 Emission",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00f3773820c500b7deab583602c528555e3c22431a95c001f7ec454201268435",
"index": 1,
"amount": 29300000,
"name": "StakeTest2",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104a09c010002c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,0,1,29300000]"
}
},
"spentTransactionId": "b04e1ff67ef646f4bad4b04507cfb323be2f80af214475fe8bb0e5058e3b59a2",
"mainChain": true
},
{
"boxId": "cca49f9e3c0293a97e6f6506c3411913e74a99ebdfd52db66f21557782665d6d",
"transactionId": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"value": 1000000,
"index": 3,
"globalIndex": 13469537,
"creationHeight": 690691,
"settlementHeight": 690693,
"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": "d6f903d7d5fe93b7b0bdd7c0a6eec17d10a1805bd03cb4f322db10ef88e6f0eb",
"mainChain": true
},
{
"boxId": "d4865f57f291f7f8d57636e185ecb04c3369c32e8e60f5f3716c9950d9d99876",
"transactionId": "17eb11d653cab4c8c6f5dafb5f9d7437d98e9333a4302c340e86c65e792fc58a",
"blockId": "b98e22ef06f1410f2f2f8995041d3d9ef83d9db189c469a82426d9ee9e6a7c72",
"value": 125800000,
"index": 4,
"globalIndex": 13469538,
"creationHeight": 690691,
"settlementHeight": 690693,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a2eb5681929dab821e5c7d181c266c09759c9f7ec4839a925cd0ad79ecf6c705",
"mainChain": true
}
],
"size": 3058,
"isUnconfirmed": false
}