Transaction
ID: a6a7b66940...becb
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.750000001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
4.84 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:
0
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.79 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.79 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 182,202
Total coins transferred: 5.6 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000244 ERG
Raw Transaction Data
{
"id": "a6a7b6694057fe0a21677d1d75468658e15ab0e453350485653098355dd5becb",
"blockId": "210c26a87fe4d51af5fc22f5ee03353d6ad29b638a422cd193d108d0e731d444",
"inclusionHeight": 1587533,
"timestamp": 1754825608738,
"index": 13,
"globalIndex": 9330589,
"numConfirmations": 182202,
"inputs": [
{
"boxId": "d1745c1276c08ae173a5a919a09a1b551dfb3b9e073c5bd45e120a433a35d95d",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3cd175e55359e0228e20d90cad72afb3c4d2f69a55f7c912417e64640bfe103e",
"outputTransactionId": "b3e8247dfd7e0cee2b03a46bd9c1efda0cb00a2b978c98be76de829637d5f257",
"outputIndex": 0,
"outputGlobalIndex": 49373657,
"outputCreatedAt": 1587521,
"outputSettledAt": 1587522,
"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": "0e20556d98c1881fb27562091adbeb4b64e71d5c7f1d5e263fcdcb58fef4448832f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "556d98c1881fb27562091adbeb4b64e71d5c7f1d5e263fcdcb58fef4448832f4"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[33643630323039623233333664623764646532336137343864373335316531653037616165346436363938323166636162363262653863376463313837316461,63617264616e6f,6572676f,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558,00000000000dbba1,000000000007a120,0000000000061a80,616461,30383737396466386432326665303936646536623338323236346166306564363835393332366134373231323438346666666666653366623231326437613166,61313634346165613064306132326332373434333334333965643261663439336633343634323436623566393163373666376261643135306331636337653831,0000000000bac00f]"
},
"R6": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
}
},
{
"boxId": "0f4b506bd216ba96272b687c653cd28d2f382052e81dec90223b2d85f55afb90",
"value": 750000001,
"index": 1,
"spendingProof": "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",
"outputBlockId": "58fb3220463bbf76a85799a9762862f63f722ce36ab48fd6d9f3b9512795100f",
"outputTransactionId": "e01b89d6488a35929ed4aa0a0a9c6accbd86e0d9935cf47bf578042589b9da8a",
"outputIndex": 0,
"outputGlobalIndex": 49373438,
"outputCreatedAt": 1587512,
"outputSettledAt": 1587514,
"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": "1a050763617264616e6f6761646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c093530303030303030300932353030303030303033396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,353030303030303030,323530303030303030,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558]"
}
}
},
{
"boxId": "256c61f3cec4ad31910d8ec632cf49fa9d681b251ff841f5acd0a8693f525f30",
"value": 4840159009,
"index": 2,
"spendingProof": "fceeb1fcfc59a15b5824e47631989f6edc08cc57a93ee994a21d76126b05e92fe89def1e067223403719781e538c7dc07842fb6744c1270e61cbf896ea36955306496d1c7d4d2c047a50969be82543a92a6efaca0c7894b248339bffffc46fe03a4377b6fa80116d753dfb7112ec64c1c2d5f1dc9d2e96e54cdcf289dc1195d1faed78de38f7638cd09539b25c69162beed1f373a26abe1b85627ce57d74a8045db4fd25e4311c55857924fae617982ed08fd68880bf871888d7058503e6a7b6c85c3dca7fd37dff43b6d73e9b1fad8247a29fe72c954c0895e5efee1bb7585833cf10e62a27ec471e653e9518547b75711d38a53f0c9933de711192ccc3e4c0351f5b0c1ce3bf73",
"outputBlockId": "5bec060e6d7f3355a502d329c3ba1ecdbd311e2a30e972144a1cfd6d33af148f",
"outputTransactionId": "273f133ba939fac12b790f78d52c3532dfaebf2666c75b31012a25712bc7c4e8",
"outputIndex": 9,
"outputGlobalIndex": 49313840,
"outputCreatedAt": 1585265,
"outputSettledAt": 1585266,
"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": 6833,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "45c1c80de3ca1c0f0d21cb9862032894496671071aa923289c6dee1576478e23",
"index": 1,
"amount": 247280,
"name": "Foxtrot",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "21d2cd3c488d530bb7d2c8f3e9c1f495ee5a4f30ab798b83b481c978ece75f83",
"index": 2,
"amount": 8581787469216,
"name": "rpnDoge",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "01c4809f78c0210e4d1406e025abf27ef8df51639355184e8ac891fa9e6d201b",
"index": 3,
"amount": 65,
"name": "Avicenna",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "d8ed061f2eb0a50ad7db8970e347356247faefe8ec5c3c786b0f7b55a5279465",
"index": 4,
"amount": 43485035463,
"name": "rpnAoS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b2dcea48caf0e73309138d659f6eb69d7ec8793dee989670c72dd4ffde7ebeb3",
"index": 5,
"amount": 43487548574,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "08779df8d22fe096de6b382264af0ed6859326a47212484fffffe3fb212d7a1f",
"index": 6,
"amount": 195692879386,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 7,
"amount": 1665998,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6cf0dd0ebd2c791c2aa8c2a083c16d15fc0e7b609d1dbddb553f319754acfcc1",
"index": 8,
"amount": 521850278895,
"name": "rpnETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "82f7cec6d682e8a0d965e6d93de66ec18933f72181c59a5d85802f0fe2afc98c",
"index": 9,
"amount": 869750311771,
"name": "rpnBNB",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 10,
"amount": 580,
"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": "079121468a73b8240aaa158df6ab2447a9dad9ba22e390a6edbdb7cc1fdb8314",
"transactionId": "a6a7b6694057fe0a21677d1d75468658e15ab0e453350485653098355dd5becb",
"blockId": "210c26a87fe4d51af5fc22f5ee03353d6ad29b638a422cd193d108d0e731d444",
"value": 2000000,
"index": 0,
"globalIndex": 49373982,
"creationHeight": 1587529,
"settlementHeight": 1587533,
"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": "0e20b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d"
}
},
"spentTransactionId": "e0d67099ff939ffc9912548edfc3ed2e63f046099006146154f5ad81ffdda480",
"mainChain": true
},
{
"boxId": "878be1e1d9e1d2ec9a5798735265fe9913cde505bc919c96f97371e28df68fae",
"transactionId": "a6a7b6694057fe0a21677d1d75468658e15ab0e453350485653098355dd5becb",
"blockId": "210c26a87fe4d51af5fc22f5ee03353d6ad29b638a422cd193d108d0e731d444",
"value": 2000000,
"index": 1,
"globalIndex": 49373983,
"creationHeight": 1587529,
"settlementHeight": 1587533,
"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": "0e201f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf",
"sigmaType": "Coll[SByte]",
"renderedValue": "1f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf"
}
},
"spentTransactionId": "1b4f382151f1d6a6c95f525485d0dcebbad50f3b78236ea5d4c74d7c850ecf9d",
"mainChain": true
},
{
"boxId": "a33bf4290db2d88b8f4b52bae13778f260b6eaddd2976986b60f4d70c465a31a",
"transactionId": "a6a7b6694057fe0a21677d1d75468658e15ab0e453350485653098355dd5becb",
"blockId": "210c26a87fe4d51af5fc22f5ee03353d6ad29b638a422cd193d108d0e731d444",
"value": 2000000,
"index": 2,
"globalIndex": 49373984,
"creationHeight": 1587529,
"settlementHeight": 1587533,
"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": "0e20148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4",
"sigmaType": "Coll[SByte]",
"renderedValue": "148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4"
}
},
"spentTransactionId": "fc1d48c8c6767e82bbb5d10d472124867f70a7f22b429e9344788cd5be424096",
"mainChain": true
},
{
"boxId": "d24681dec2399bd976ae2fd3cc6592cff3413222ba9d37d8a6a2b6ae006f3328",
"transactionId": "a6a7b6694057fe0a21677d1d75468658e15ab0e453350485653098355dd5becb",
"blockId": "210c26a87fe4d51af5fc22f5ee03353d6ad29b638a422cd193d108d0e731d444",
"value": 2000000,
"index": 3,
"globalIndex": 49373985,
"creationHeight": 1587529,
"settlementHeight": 1587533,
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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": "e1896615e3bb3319269ab6236a74c431786ca198b614ab9549efc535a70c4fbd"
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"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": "2f7bbfdb3f2d3ec6c91972720a0416d749f04f14b5cea24a1494b946afe98ee4"
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"ergoTree": "0008cd026374c29b4c2c7c633e1094de15578dc0b940dd88e94aa1efe4f7eb67413d959c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6374c2,7e7f67,...)))}",
"address": "9fGrzE7g5SzYr8uRGCVxv2UjbEsMdW6PrfVTKBY5ZwCyVx1U3UX",
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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": ""
}
},
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"mainChain": true
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(446e53,a19ed9,...)))}",
"address": "9f3CVVDJnms2TdsnVLrRa5ukhKiHLBZXwc1ApVpRaqpoaJFKtHw",
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"type": "EIP-004"
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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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{
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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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"type": "EIP-004"
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{
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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}
],
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}