Transaction
ID: c2ba9cfc86...1690
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.012 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
4.69 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:
0.002 ERG
Tokens:
Unspent
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
15.00
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.47 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.47 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 187,416
Total coins transferred: 5.7 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000217 ERG
Raw Transaction Data
{
"id": "c2ba9cfc8666bdc19d423c7bde419f5aa23e9cb871ed36798d58e92b23611690",
"blockId": "69ad6d647d94ecd39fdb2e5c006b025f962273b1941e9a5f42946b1b61fece67",
"inclusionHeight": 1582628,
"timestamp": 1754238537218,
"index": 5,
"globalIndex": 9300855,
"numConfirmations": 187416,
"inputs": [
{
"boxId": "6c517bd586fe56b2905a589fc19e894b6d38c83d5c60d036e36af9cfbd322d5c",
"value": 12000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5656c39ac3aa44f9961c9f29f9dfd507023707fc9eb371435e27075d17901c10",
"outputTransactionId": "c50ed0e9239cd1774d2d0d101b549f1bc56f70f7608fd604e1581ab960355987",
"outputIndex": 0,
"outputGlobalIndex": 49251344,
"outputCreatedAt": 1582532,
"outputSettledAt": 1582533,
"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(102,106,3,-81,2,114,104,-27,91,-80,-88,89,15,85,-107,-57,-56,-58,125,-28,-97,-91,126,-103,-76,126,-65,57,105,-103,-118,41)\n10: 1\n11: 0\n12: Coll(-113,-66,-52,-97,79,105,104,-79,-127,-41,13,51,127,51,114,-98,-101,60,-75,-111,-1,-49,-113,-54,22,40,44,-53,-60,-121,-91,-121)\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": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 6000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c76cadbfe799ab07061fc25a7d90df8818dc96202f7afa0c8d36f07deb556210",
"sigmaType": "Coll[SByte]",
"renderedValue": "c76cadbfe799ab07061fc25a7d90df8818dc96202f7afa0c8d36f07deb556210"
},
"R5": {
"serializedValue": "1a0c4064663438613466383366656537306338616266343539643838613531333435663562623937373965316666626633386262626538666531653731616561356639046572676f0763617264616e6f33396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a774379567831553355586761646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c08000000003b9aca0008000000000ee6b28008000000001dcd6500036572674535376162653432663534393738346338386631346537383837323132376436326663306137626662656430616437643431653565623266622e37323730366534353532343740393835663738333037306165656638343463633137353832336161626132343635663062333837626435356263643539336361363365666432313937393437340800000000001825b9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64663438613466383366656537306338616266343539643838613531333435663562623937373965316666626633386262626538666531653731616561356639,6572676f,63617264616e6f,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,000000003b9aca00,000000000ee6b280,000000001dcd6500,657267,35376162653432663534393738346338386631346537383837323132376436326663306137626662656430616437643431653565623266622e373237303665343535323437,39383566373833303730616565663834346363313735383233616162613234363566306233383762643535626364353933636136336566643231393739343734,00000000001825b9]"
},
"R6": {
"serializedValue": "0e20eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94",
"sigmaType": "Coll[SByte]",
"renderedValue": "eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94"
},
"R7": {
"serializedValue": "040c",
"sigmaType": "SInt",
"renderedValue": "6"
}
}
},
{
"boxId": "6314fb072918a406bf32f60bfc22a05d5e844d7c61d533f3bea8f911568439b5",
"value": 1000000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "985f783070aeef844cc175823aaba2465f0b387bd55bcd593ca63efd21979474",
"outputTransactionId": "df48a4f83fee70c8abf459d88a51345f5bb9779e1ffbf38bbbe8fe1e71aea5f9",
"outputIndex": 0,
"outputGlobalIndex": 49251035,
"outputCreatedAt": 1582520,
"outputSettledAt": 1582521,
"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": "9ccf96ee21e02b487fac04d831d123e7a29df1200615422588f9deb4d9f00eeb",
"value": 4691159009,
"index": 2,
"spendingProof": "69485f3fda66401b8352377a767f5c550ca2d9dcb0225f7b75f67aba1b975aeb72615e45c5c16ad63f27d2e4a12cbcb9e346c4110653daae9769a5b8e9a41eea964fa110b83c9936d0a33f50e774ea108e554bc6115afb3e4eb283de00007cbcb9b24d5508e7df0e262ad71e3e456582aec5373bf66e0c83ee12b975752032d2031a2ef3921f569a448024440064da59ec0db7c6ad985c4c476e1ee2949894d8c7ccbd8e1c36ffddd10d36f39d30429365c9821e3cef8c5b9a888d4da32da6b0eb93f1deee0ae25f43a43f8f9b7fd1ed364e4d52fbf13895cd598bd440bd1b5481c72fe10214d61d6a0382c0b25a0fc17e9290c59abd8f9b360b2fa7eb234c34babd2bf33e7d96a0",
"outputBlockId": "cdfeb6af86590a7a12b6b6ef8070f982221e786b28f34d1128760fd934918bc7",
"outputTransactionId": "1591126f3a0619db0899b70a7dd450ead89f46cc471833aebc50a6c2c03b9dfa",
"outputIndex": 10,
"outputGlobalIndex": 49223684,
"outputCreatedAt": 1581267,
"outputSettledAt": 1581269,
"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": 5971,
"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": 195693164386,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 7,
"amount": 1690998,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6cf0dd0ebd2c791c2aa8c2a083c16d15fc0e7b609d1dbddb553f319754acfcc1",
"index": 8,
"amount": 521850214609,
"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": "a303a6ba24ba2847988fb421e255e2047417efd61b23e477e78ccc885c03c089",
"transactionId": "c2ba9cfc8666bdc19d423c7bde419f5aa23e9cb871ed36798d58e92b23611690",
"blockId": "69ad6d647d94ecd39fdb2e5c006b025f962273b1941e9a5f42946b1b61fece67",
"value": 2000000,
"index": 0,
"globalIndex": 49254159,
"creationHeight": 1582624,
"settlementHeight": 1582628,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 5833,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20195bd457085e48b0e1467da99f011fc67827480c8a991b9a1ba53a6d2bb135d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "195bd457085e48b0e1467da99f011fc67827480c8a991b9a1ba53a6d2bb135d4"
}
},
"spentTransactionId": "ce9a2c167ed41e75ae9e5551ff4a788321827c7ed9e9d498588af201e0f3affb",
"mainChain": true
},
{
"boxId": "49b14d14bf89307718ad17eba02c8c83dfdb5e5f2b5cf683170c7763dde27deb",
"transactionId": "c2ba9cfc8666bdc19d423c7bde419f5aa23e9cb871ed36798d58e92b23611690",
"blockId": "69ad6d647d94ecd39fdb2e5c006b025f962273b1941e9a5f42946b1b61fece67",
"value": 2000000,
"index": 1,
"globalIndex": 49254160,
"creationHeight": 1582624,
"settlementHeight": 1582628,
"ergoTree": "101904000400040004000400040005000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3040604000404040204000402050404000400040004000400040204000e201e40b01911a4e0db35439e3f25bd34d27d1bad11e2769976d06143c0f40cc50a04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 5833,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20163dd94c65197844769bc5cffbe329a6ca1fef23dcbd2dd0694de846c2094b4b",
"sigmaType": "Coll[SByte]",
"renderedValue": "163dd94c65197844769bc5cffbe329a6ca1fef23dcbd2dd0694de846c2094b4b"
}
},
"spentTransactionId": "a817d1fff557e98cb72cb8711438238e13567939e7f37b5fe2726280a9948f1c",
"mainChain": true
},
{
"boxId": "6ca4b99bcaa4f345c57f99f02f4dbcbec3334d7c04c7626858436979359e7da7",
"transactionId": "c2ba9cfc8666bdc19d423c7bde419f5aa23e9cb871ed36798d58e92b23611690",
"blockId": "69ad6d647d94ecd39fdb2e5c006b025f962273b1941e9a5f42946b1b61fece67",
"value": 2000000,
"index": 2,
"globalIndex": 49254161,
"creationHeight": 1582624,
"settlementHeight": 1582628,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 5833,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2076b4eda1bb0e30d47ad77d0da8889b7dafc3410a430426228abb1230fa1a5f30",
"sigmaType": "Coll[SByte]",
"renderedValue": "76b4eda1bb0e30d47ad77d0da8889b7dafc3410a430426228abb1230fa1a5f30"
}
},
"spentTransactionId": "691f136cfd291388e33636b1098b2a24ef9a20f274021aa631a9d39c0e80f608",
"mainChain": true
},
{
"boxId": "55d216f32270379917762574d992371d699b7f737a0bed12444fe8e9d7c0f304",
"transactionId": "c2ba9cfc8666bdc19d423c7bde419f5aa23e9cb871ed36798d58e92b23611690",
"blockId": "69ad6d647d94ecd39fdb2e5c006b025f962273b1941e9a5f42946b1b61fece67",
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"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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"index": 0,
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"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 5833,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20700577946f4334199916bacf1ce3286404acd4f9476876e6ec7d5bf5a2184d3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "700577946f4334199916bacf1ce3286404acd4f9476876e6ec7d5bf5a2184d3f"
}
},
"spentTransactionId": "6e586ea83c97370cdec88db9eb6cd10ccb6d04196ce4867b55d64524d2016674",
"mainChain": true
},
{
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"index": 4,
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"settlementHeight": 1582628,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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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{
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"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
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"name": "eRSN-Pandora",
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208"
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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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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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",
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{
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"index": 0,
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"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
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"name": "eRSN-Pandora",
"decimals": 3,
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],
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"sigmaType": "Coll[SByte]",
"renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
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"spentTransactionId": "570e863ac8aa4046e21180709f4aa59bd8738820462082356bac3b067937ec1a",
"mainChain": true
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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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"mainChain": true
}
],
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}