Transaction
ID: 081921bcf0...87da
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.97 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,525
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
53.03
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
6,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.97 ERG
Tokens:
578.03
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 593,119
Total coins transferred: 1.97 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000039 ERG
Raw Transaction Data
{
"id": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"inclusionHeight": 1165184,
"timestamp": 1703697384062,
"index": 9,
"globalIndex": 6336060,
"numConfirmations": 593119,
"inputs": [
{
"boxId": "96e04e65f2f97973bdf7929de89c19f1ed2d86d67edf14f33a4bd4685b23a879",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "af88df699e7dfa5743b34b0aba02353f6d4b4a7df30390dbfbb1d161b7ab485e",
"outputTransactionId": "dd0b5ecef1cdd8208e422df0362f73d6d99454efc907c162f8259fe5707c057a",
"outputIndex": 0,
"outputGlobalIndex": 35425764,
"outputCreatedAt": 1165131,
"outputSettledAt": 1165133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(44,-104,-93,-28,46,63,122,-102,19,47,-39,55,87,15,-92,-108,31,-47,-78,104,30,-76,95,115,-69,49,113,57,-102,-59,-27,88)\n3: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-28,-57,-100,-38,-76,5,70,-99,25,-105,4,70,-72,-64,115,-67,-125,43,80,-75,-124,44,-36,52,-80,-26,-30,64,-43,125,47,52)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d",
"index": 0,
"amount": 1,
"name": "rspv1RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 1,
"amount": 997399898059,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 2600101942,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"ergoTree": "0008cd02e9fb2772a235ec27bd5bed6f38593f1cdfa9f1f85adf67ced4d7daa65ce03a98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e9fb27,a8d07a,...)))}",
"address": "9gJ7FJe7gin9WbEmxNGie2Nn4xhHSaV47KPb3J4yiHp2JmX4Pjq",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 53030,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d0c3438dd14acdb9c3b732cb35300b761581cd597c16017f68de0f00b6f20ea2",
"transactionId": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"value": 2000000,
"index": 0,
"globalIndex": 35427765,
"creationHeight": 1165181,
"settlementHeight": 1165184,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(44,-104,-93,-28,46,63,122,-102,19,47,-39,55,87,15,-92,-108,31,-47,-78,104,30,-76,95,115,-69,49,113,57,-102,-59,-27,88)\n3: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-28,-57,-100,-38,-76,5,70,-99,25,-105,4,70,-72,-64,115,-67,-125,43,80,-75,-124,44,-36,52,-80,-26,-30,64,-43,125,47,52)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d",
"index": 0,
"amount": 1,
"name": "rspv1RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 1,
"amount": 997393898059,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 2606101942,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": 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},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,21000002,30000003,18000001,27000001,9000001,21000001,12207893,30000001,99000001,42000001,48000001,30039166,12050000,90155630,42000001,12001000,15252626,138001000,39000001,27002001,78000004,15002000,6300000,9000001,21000001,15120654,12198332,12000001,15000001,60000001,75001000,18002000,70061638,27001000,15100000,21001001,35235000,12011495,3000999,12000001,15004714,18101000,3000001,12345223,45000005,39010000,30000001,18006122,30000100,12109510,3200000,93000001,48000001,18000001,24000001,15000001,3000001,255000001,36000101,15000018,30001000,30001000,30001000,30001000,30000001,30000001,30000001,33001000,12000002,33000001,23566578,30000002,30000091,6002000,21000001,150007000,30000001]"
},
"R6": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
},
"R7": {
"serializedValue": "0436",
"sigmaType": "SInt",
"renderedValue": "27"
}
},
"spentTransactionId": "d3af3d432b2cf17152fa0b75b2f5a938580f1c9404b86dae976e11993fbaca4a",
"mainChain": true
},
{
"boxId": "574c3ec24295e4486a683992071bf75b458a7710bc48b8e5cae5ee67a3f0aae3",
"transactionId": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"value": 2000000,
"index": 1,
"globalIndex": 35427766,
"creationHeight": 1165181,
"settlementHeight": 1165184,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 6000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "23987323f2c884310fb2557595833e15298da6e4f7f2a18370d25da1c2f039cb",
"mainChain": true
},
{
"boxId": "329c813396ed21994c55845631f14fdaf23d50a526be9ca2c1f88bb9fd73120e",
"transactionId": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"value": 2000000,
"index": 2,
"globalIndex": 35427767,
"creationHeight": 1165181,
"settlementHeight": 1165184,
"ergoTree": "0008cd02e9fb2772a235ec27bd5bed6f38593f1cdfa9f1f85adf67ced4d7daa65ce03a98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e9fb27,a8d07a,...)))}",
"address": "9gJ7FJe7gin9WbEmxNGie2Nn4xhHSaV47KPb3J4yiHp2JmX4Pjq",
"assets": [
{
"tokenId": "c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2",
"index": 0,
"amount": 1,
"name": "WID-JmX4Pjq",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "23987323f2c884310fb2557595833e15298da6e4f7f2a18370d25da1c2f039cb",
"mainChain": true
},
{
"boxId": "75ab8f18a44bb8e75aab431dbd30378542f440e7d205304c36de241c041efcc7",
"transactionId": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"value": 1965557377,
"index": 3,
"globalIndex": 35427768,
"creationHeight": 1165181,
"settlementHeight": 1165184,
"ergoTree": "0008cd02e9fb2772a235ec27bd5bed6f38593f1cdfa9f1f85adf67ced4d7daa65ce03a98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e9fb27,a8d07a,...)))}",
"address": "9gJ7FJe7gin9WbEmxNGie2Nn4xhHSaV47KPb3J4yiHp2JmX4Pjq",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 578030,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cdafd5ff4f8e7b3374ee8537c7821797c75d179f8d0fe9590c05df7f4a3ee8f3",
"mainChain": true
},
{
"boxId": "da5df023b01d63411ed1c11f2ae8d05ba1395799c0d3c1ace08b2f405f8a97ce",
"transactionId": "081921bcf012bbef256fd595f4eb3e17831b990867f4add474df1ff4822987da",
"blockId": "189488ec5df735561b19114aa9091e6ed83cc7d31b3813d718a50887406dc13a",
"value": 2000000,
"index": 4,
"globalIndex": 35427769,
"creationHeight": 1165181,
"settlementHeight": 1165184,
"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": "793c91e1a8c43567cabbf37dfa2ac6a3d4f0003da06aefaa3a406d1c8d03232e",
"mainChain": true
}
],
"size": 5124,
"isUnconfirmed": false
}