Transaction
ID: 1e87f37270...1c57
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
5 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.892821461 ERG
Outputs (12)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
9
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.95 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.95 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 172,822
Total coins transferred: 5.9 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000244 ERG
Raw Transaction Data
{
"id": "1e87f3727048e53436948bd3b1f3ea9d42d336311dac3daf826b3a6e2b821c57",
"blockId": "cb034e812c941dad70cfc2a1dc27f50825c408a0ab20c2fa1e26a4021e672495",
"inclusionHeight": 1599274,
"timestamp": 1756253076485,
"index": 4,
"globalIndex": 9403905,
"numConfirmations": 172822,
"inputs": [
{
"boxId": "785d084b684b84ee63b441811b6617f6aea248283f185c273f8c8be9b69d8da4",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8e4fec28d5af23cc45d40f85b8f1e3144d35a56736533775627001eb9e10cee8",
"outputTransactionId": "2ecae395651dfa5de0b060add24d8a2ec8370959c519a28d0647b5dc9283b883",
"outputIndex": 0,
"outputGlobalIndex": 49665681,
"outputCreatedAt": 1599267,
"outputSettledAt": 1599268,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(91,76,28,58,-107,-99,-42,-123,95,-109,52,101,29,69,88,-105,21,38,-38,46,-66,96,52,-14,-27,46,-48,98,-6,64,18,83)\n10: 1\n11: 0\n12: Coll(12,-52,-17,97,33,85,102,67,-97,34,-75,-92,-86,-89,86,113,-125,-44,-7,-34,-106,62,123,-51,-78,124,-100,-19,118,-62,-85,12)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 5000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205433445709735986d5c66e784d492a0b9e8d39ad3a8a10299438b24e15f65580",
"sigmaType": "Coll[SByte]",
"renderedValue": "5433445709735986d5c66e784d492a0b9e8d39ad3a8a10299438b24e15f65580"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[62363964643734313865373965373066356336393430386530623637356264313665313162613032366530333961653333346633663561353565333634363764,63617264616e6f,6572676f,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,0000000000989680,000000000007a120,0000000000061a80,616461,30383737396466386432326665303936646536623338323236346166306564363835393332366134373231323438346666666666653366623231326437613166,38366463353161323466363136636531633634373566356165353936383262346431396532323863373639373639666133303136623565353832313636643463,0000000000bbd450]"
},
"R6": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
}
},
{
"boxId": "296281c85ba54e4ae1f197fa54201d30afc1e728ea2028600fcd7313a3e04010",
"value": 5000000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "56cb79109b3ec02869c8e283a13671ae66210fedfae49dfb84e8e154c68c080c",
"outputTransactionId": "01dc7c0b131539626fcb80669e3de34eac949cf9114480f1c8724d737695308c",
"outputIndex": 0,
"outputGlobalIndex": 49665306,
"outputCreatedAt": 1599254,
"outputSettledAt": 1599255,
"ergoTree": "100304000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-94,-41,-12,27,121,-7,-117,-54,-17,8,33,75,-98,107,-16,-13,-72,3,-28,70,-87,-17,89,73,-38,121,-105,57,85,81,101,-86)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f6761646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b093530303030303030300932353030303030303033396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,353030303030303030,323530303030303030,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558]"
}
}
},
{
"boxId": "6fe019f0415ef33dbc48c1c4ca64c3de56e77203b54c3f8a0a15ff19c95c263d",
"value": 892821461,
"index": 2,
"spendingProof": "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",
"outputBlockId": "c79a448a04a670e40174456303bd5b164fd9400caf2177f7f0190849050c02be",
"outputTransactionId": "93caa43b06dc5e4e2e350f4a8a7e3cfd93d50bdac5a2ebcbe874838183b1be03",
"outputIndex": 10,
"outputGlobalIndex": 49665251,
"outputCreatedAt": 1599249,
"outputSettledAt": 1599251,
"ergoTree": "100304000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-94,-41,-12,27,121,-7,-117,-54,-17,8,33,75,-98,107,-16,-13,-72,3,-28,70,-87,-17,89,73,-38,121,-105,57,85,81,101,-86)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
"assets": [
{
"tokenId": "36cd0ff2a2e12fd9ede563b07808684dbe6bb4b85ce831b92c23cc8322ca784c",
"index": 0,
"amount": 30450,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "45c1c80de3ca1c0f0d21cb9862032894496671071aa923289c6dee1576478e23",
"index": 1,
"amount": 181596,
"name": "Foxtrot",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "21d2cd3c488d530bb7d2c8f3e9c1f495ee5a4f30ab798b83b481c978ece75f83",
"index": 2,
"amount": 6302250172705,
"name": "rpnDoge",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "01c4809f78c0210e4d1406e025abf27ef8df51639355184e8ac891fa9e6d201b",
"index": 3,
"amount": 48,
"name": "Avicenna",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "d8ed061f2eb0a50ad7db8970e347356247faefe8ec5c3c786b0f7b55a5279465",
"index": 4,
"amount": 31934072918,
"name": "rpnAoS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b2dcea48caf0e73309138d659f6eb69d7ec8793dee989670c72dd4ffde7ebeb3",
"index": 5,
"amount": 31936168484,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "08779df8d22fe096de6b382264af0ed6859326a47212484fffffe3fb212d7a1f",
"index": 6,
"amount": 143711608611,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 7,
"amount": 1150812,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6cf0dd0ebd2c791c2aa8c2a083c16d15fc0e7b609d1dbddb553f319754acfcc1",
"index": 8,
"amount": 383233825350,
"name": "rpnETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "82f7cec6d682e8a0d965e6d93de66ec18933f72181c59a5d85802f0fe2afc98c",
"index": 9,
"amount": 638722965564,
"name": "rpnBNB",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 10,
"amount": 6676,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "14ae6f77e133093b899493bc79a41e09a2f720294349059d9d11a6dd863c0a5c",
"value": 1100000,
"index": 0,
"outputBlockId": "7fe8cc68cce31821ec041885d336e1de47642c1aa1053db4eabd83e0592bd41b",
"outputTransactionId": "c4fce7f3470e36d086d290ae64cdf7f723a095a33df5c8e33ebe06483feaf3d3",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a06210361cddbc4a332f3dfc8b9b8a8850c63d737f6f0782a700aac7f0a9c15c5822d3e2103b04238bbacd33f2200b534b4e64e51e54d41983713786024e4158c7ddcdbc07421025c5cdbfefe114a69d3fc476b0ee0ef337cdd857c0dec0020755510ffa64ce3a721032ad9cb72e098195233335bed22f091018fb83e22c3899b39682365a940eeee8421024e1a4a35b076e0fcc4c72dcf612e710a294d3101325a22a14ee4357e6b8f0cf721026be313e8ec5d06cd07fbee24a2a3d36019bfdb0b4928889aef9314ae74a04c54",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0361cddbc4a332f3dfc8b9b8a8850c63d737f6f0782a700aac7f0a9c15c5822d3e,03b04238bbacd33f2200b534b4e64e51e54d41983713786024e4158c7ddcdbc074,025c5cdbfefe114a69d3fc476b0ee0ef337cdd857c0dec0020755510ffa64ce3a7,032ad9cb72e098195233335bed22f091018fb83e22c3899b39682365a940eeee84,024e1a4a35b076e0fcc4c72dcf612e710a294d3101325a22a14ee4357e6b8f0cf7,026be313e8ec5d06cd07fbee24a2a3d36019bfdb0b4928889aef9314ae74a04c54]"
},
"R5": {
"serializedValue": "1002080a",
"sigmaType": "Coll[SInt]",
"renderedValue": "[4,5]"
}
}
}
],
"outputs": [
{
"boxId": "f94b639eb095eb16b13a1e2d742cfa6774a026fc7617146f6be23a6adf9f721c",
"transactionId": "1e87f3727048e53436948bd3b1f3ea9d42d336311dac3daf826b3a6e2b821c57",
"blockId": "cb034e812c941dad70cfc2a1dc27f50825c408a0ab20c2fa1e26a4021e672495",
"value": 2000000,
"index": 0,
"globalIndex": 49665749,
"creationHeight": 1599273,
"settlementHeight": 1599274,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"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.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202f7bbfdb3f2d3ec6c91972720a0416d749f04f14b5cea24a1494b946afe98ee4",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f7bbfdb3f2d3ec6c91972720a0416d749f04f14b5cea24a1494b946afe98ee4"
}
},
"spentTransactionId": "e8ab431772f35bd955bfbbb6a41950328369cd92c664a884bf7dfa190c79886f",
"mainChain": true
},
{
"boxId": "417f27c0c26300855a6f3d3c8aedd925d56a8497ad829c3b19efad69517e82f1",
"transactionId": "1e87f3727048e53436948bd3b1f3ea9d42d336311dac3daf826b3a6e2b821c57",
"blockId": "cb034e812c941dad70cfc2a1dc27f50825c408a0ab20c2fa1e26a4021e672495",
"value": 2000000,
"index": 1,
"globalIndex": 49665750,
"creationHeight": 1599273,
"settlementHeight": 1599274,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"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.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e1896615e3bb3319269ab6236a74c431786ca198b614ab9549efc535a70c4fbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "e1896615e3bb3319269ab6236a74c431786ca198b614ab9549efc535a70c4fbd"
}
},
"spentTransactionId": "45a32c5007117d5207c3e425d17e40e2ec053b54acc1ad06b283f302a236e8b9",
"mainChain": true
},
{
"boxId": "23187abc9d700ccd37761b2d3432b649e70d33af7ce134ab5be86d67b8dcd474",
"transactionId": "1e87f3727048e53436948bd3b1f3ea9d42d336311dac3daf826b3a6e2b821c57",
"blockId": "cb034e812c941dad70cfc2a1dc27f50825c408a0ab20c2fa1e26a4021e672495",
"value": 2000000,
"index": 2,
"globalIndex": 49665751,
"creationHeight": 1599273,
"settlementHeight": 1599274,
"ergoTree": "101904000400040004000400040005000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3040604000404040204000402050404000400040004000400040204000e209ae3c0401b3d7536b2ae6a5edae903e5d771c4a584df47ca3b967ea37b86d47f04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"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.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d"
}
},
"spentTransactionId": "d4f6427c4ace0e5d03cb97ab19a48629e596c83e1ff70b8129e45806798ae1aa",
"mainChain": true
},
{
"boxId": "56ddc1c52602a0e5df76d3d223f6aa74f2b6469a8aeb88cf1fae914841b05009",
"transactionId": "1e87f3727048e53436948bd3b1f3ea9d42d336311dac3daf826b3a6e2b821c57",
"blockId": "cb034e812c941dad70cfc2a1dc27f50825c408a0ab20c2fa1e26a4021e672495",
"value": 2000000,
"index": 3,
"globalIndex": 49665752,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"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.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4"
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"spentTransactionId": "2d03c3cf86808d43fcfe42cb9e7721c4880ca68819bd3b591c8febc9968a605f",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"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.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[SByte]",
"renderedValue": "1f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf"
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"ergoTree": "0008cd0393538bf114fd9acaee03fc223034f60ed82bfd18a22cdbf5d0b5088c19825417",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(93538b,f59d7f,...)))}",
"address": "9hagwneHKMBJHN7pnR8WLwD2ne5NQpWWECLEdwxbS9Bm3iigmkZ",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d861eb,4059a3,...)))}",
"address": "9gAMiTk6z9TuAfyajDFCTSjPDtYnWh6JGYpJV3q4XpyQ7FcvoHk",
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],
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": null,
"mainChain": true
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(446e53,a19ed9,...)))}",
"address": "9f3CVVDJnms2TdsnVLrRa5ukhKiHLBZXwc1ApVpRaqpoaJFKtHw",
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"decimals": 3,
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"mainChain": true
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{
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"ergoTree": "0008cd03c5fc06d9e75cce2ca0a4f0a9840e6695798306f83fd41a28e290c69de38ea275",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c5fc06,b3e6b2,...)))}",
"address": "9hxzwRsK3cop3mYn6w8EPoBAHZ6J4wKudHXjaJYdiAvSx5hhfB6",
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"index": 0,
"amount": 400000,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
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],
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"mainChain": true
},
{
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
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"type": "EIP-004"
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{
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"type": "EIP-004"
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{
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"name": "Avicenna",
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}
],
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}