Transaction
ID: ffad00a0e1...f2e1
Inputs (16)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.47
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
42,000
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 156,157
Total coins transferred: 0.032 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001068 ERG
Raw Transaction Data
{
"id": "ffad00a0e1ca41f15d6646c5a263e12c4ac2f45731523fd0c67a31ef6e35f2e1",
"blockId": "311c25ea57f424986d511e8228f16376f3b710630cf584d691bb93c8a2ef43e0",
"inclusionHeight": 1601913,
"timestamp": 1756577069933,
"index": 6,
"globalIndex": 9417265,
"numConfirmations": 156157,
"inputs": [
{
"boxId": "14883f4937a45f5f9fe6225031c02605865119cb1080e01330f9db47c6e35581",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d0002edb7fa366577cd343e98d447257285a9f0fd636ebb03d0b62ee70730cae",
"outputTransactionId": "ab486481065c405253e1c9a6c75409343277bba8deebc79c4941f5ac65336d9f",
"outputIndex": 1,
"outputGlobalIndex": 49718110,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a20ac2199b2be8e60263280247961e3f48b30e626b39db38d4847002db533649",
"sigmaType": "Coll[SByte]",
"renderedValue": "a20ac2199b2be8e60263280247961e3f48b30e626b39db38d4847002db533649"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e20ac9bd7a7331c6496c8a34cb7d465ea6e53ad776e39a34c2df91810a91f2ee61d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac9bd7a7331c6496c8a34cb7d465ea6e53ad776e39a34c2df91810a91f2ee61d"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "e7b3eba1e78aef4219b7a6b10783aef8630dce354e96c53812f017e899521e00",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d06ff968610aa41b35b73ce09ecaa44adcd604795eb76074636e0954d93ea306",
"outputTransactionId": "7575c74c2077edef3161c6d556c8e869cd248298c766aa8d2eab72638679c10a",
"outputIndex": 1,
"outputGlobalIndex": 49718120,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601907,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20929464d70cc80777bd79cb5d456dd0ab38788ce226630016c7c67a37aee8d2c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "929464d70cc80777bd79cb5d456dd0ab38788ce226630016c7c67a37aee8d2c1"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2058f88613acd72bbee0fd1542bc303f9b1570a2776997eb0b0adaeaf8a537d04c",
"sigmaType": "Coll[SByte]",
"renderedValue": "58f88613acd72bbee0fd1542bc303f9b1570a2776997eb0b0adaeaf8a537d04c"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "2b5d33f1e43739fe8f4fdb26371aa110f55c3d530a3df56d6d6b53fddb0a88b0",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d06ff968610aa41b35b73ce09ecaa44adcd604795eb76074636e0954d93ea306",
"outputTransactionId": "955fafe8460960fefc91050e8cb67ca09b20218779e585be19eb3469d16c723c",
"outputIndex": 1,
"outputGlobalIndex": 49718125,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601907,
"ergoTree": "102404000e20e639e7599ae284153699886f27d5c338f65e08b30ab12941ff088c436db86486040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2017f3ca9e372d7d5cb7f0670d06f1fea67041ff7aa5ee1dd04989a28532bc053804000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2086d0c6e8a79fa5a838af7570e35562ef0feedfd4604edd452de8332db9b873ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "86d0c6e8a79fa5a838af7570e35562ef0feedfd4604edd452de8332db9b873ae"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e200632c926d2212dab653080e6e6ade31ca75244a9c33e6cbb910ce2b166c0eeb0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0632c926d2212dab653080e6e6ade31ca75244a9c33e6cbb910ce2b166c0eeb0"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "4731f755e4c3267a7c3dfc3e99a4e7a06f01f5963a557c25db2a61d2fd463448",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "d06ff968610aa41b35b73ce09ecaa44adcd604795eb76074636e0954d93ea306",
"outputTransactionId": "9db1925a199facfe4e109ff74f2aae1a08d82d02a285d86706d0c99c3e6e65d8",
"outputIndex": 1,
"outputGlobalIndex": 49718130,
"outputCreatedAt": 1601905,
"outputSettledAt": 1601907,
"ergoTree": "102404000e20e639e7599ae284153699886f27d5c338f65e08b30ab12941ff088c436db86486040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2017f3ca9e372d7d5cb7f0670d06f1fea67041ff7aa5ee1dd04989a28532bc053804000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2012ac6a1ead0d72ff092918062effaff0afb745c331dd14be6d26391498fe2cb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "12ac6a1ead0d72ff092918062effaff0afb745c331dd14be6d26391498fe2cb5"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2084866fbdf60608407f8ecdff4202c3a20aeaaa9f36884620d6a79daff9949b99",
"sigmaType": "Coll[SByte]",
"renderedValue": "84866fbdf60608407f8ecdff4202c3a20aeaaa9f36884620d6a79daff9949b99"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "ca1a72088e57d3b5ea65093a3fb78989b9a46f711a561c447d725ee8678eed9e",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "7e34c9012a7688f8d09290cf3c77afe3e2c9d5635cd0c15c091ed0a977df711b",
"outputTransactionId": "2fd9951b1e9f14408863fe93b150064edaa7377082ced6dad1f58a7a419a1ff9",
"outputIndex": 1,
"outputGlobalIndex": 49718140,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601908,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20499477a90ce7e9149296ddb37c9783a949aaf8380d920012d1ed7a41e8737050",
"sigmaType": "Coll[SByte]",
"renderedValue": "499477a90ce7e9149296ddb37c9783a949aaf8380d920012d1ed7a41e8737050"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2031d4ab0b5e6c4a7865aee4beb0ff70c18465d8680806773400b814b04ed47f8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "31d4ab0b5e6c4a7865aee4beb0ff70c18465d8680806773400b814b04ed47f8a"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "001c3e5e7a73e9fa156c1dbce96019f143f097eb2cd8a961aa8881fea55a5966",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "7e34c9012a7688f8d09290cf3c77afe3e2c9d5635cd0c15c091ed0a977df711b",
"outputTransactionId": "379271d8276c4000f33ca7ee2edb97defe3a20fc7b5caa563bde8b3959150e1e",
"outputIndex": 1,
"outputGlobalIndex": 49718145,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601908,
"ergoTree": "102404000e20e639e7599ae284153699886f27d5c338f65e08b30ab12941ff088c436db86486040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2017f3ca9e372d7d5cb7f0670d06f1fea67041ff7aa5ee1dd04989a28532bc053804000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20943075734465f214f6297168bdbac2c844d1d22d6f928bab0affb271c220c980",
"sigmaType": "Coll[SByte]",
"renderedValue": "943075734465f214f6297168bdbac2c844d1d22d6f928bab0affb271c220c980"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e20bc4cb496e689ab47f9e3c40a5ec34809ed03c93b5ec9d11f9cddc6c11441470f",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc4cb496e689ab47f9e3c40a5ec34809ed03c93b5ec9d11f9cddc6c11441470f"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "c79976091edae1d6e2faa071fce8c4c976dfee812dd8b6131bb1ce59102eddd5",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "6ec9cda42d29c7b9f5ebcbedbcc256e0c52797acab684932129c448c65cde42c",
"outputTransactionId": "522114292407dd979dc71652300855d68fa56ffd69822f2b73a985eebac7820e",
"outputIndex": 1,
"outputGlobalIndex": 49718168,
"outputCreatedAt": 1601904,
"outputSettledAt": 1601909,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYa3qBuYZ3teFTEJP1ziojbVZAYdZF528CNfT5tiycZoiqXfZEqgud81sBrXGyGoanY95RS1xwRSzc4nSGhvhg9Awr23q8vde4k7PWrErq42DeCwborsxAwKm1YrWJEwD8KZiKmSMR9jCD3pTxfsvoq4yMJeh4bscJKRj9iuy79tzWT3NU4L1vrVNjQd9ksz8V2mUeU7EXouDTHxAM5Vci3HgeC2CBqY23J3mpXryfb3UPha7a4zf2eF7Tv5viA7ayrGgu582W2ZttnLFHQTRn3gnTU715qzjk7NMer98y528FxXNZsjSFs72tZm4kL6zMthigXX1yNBtr5vXmYKcHUyAeRWuX2CK8jAFWYF4cJeceCN5E2KjoTK47Ge7q8B9MNZBVU83HPGzjVkqjvFDQsDZyt7hyCRhguwKibwyw1Y76ceNXrhzwPgukP6PsCWyipqSMVTAxB3QNR46mGi1v2S3MNKR9bThJU98yQntABweyLuqHVmALaU5s971p9SPi25gVnLsFD2FQnczLpHR2g8iJ2PcUZageyVyCxKbX3EvUoyQTymeaQuSwNgySKAs67YgUPFGcmXD33Fbs7vQvkrDbqUVprE2igGNZvCmStypiqZA6ijDzbaTX1XwFAehFT39WyGQ9NXzCtYn35fj95NLkDWugvEmqL5to8JFbCcHbV13WCJaVgvcerLKU922nuM54QXYNoSQHYdCypp3PXwaWBbsemt1cbH9mGM5JnYuhAm2gKctu7rUwCQ9P6qx7k4nC6ycUWLPsYeaYt23RXxF9cx31A9nUqSW4n4j46j3fVTkBX47C7X2TFF2VgHFJky4d3etKp5EQodYs2caNLgmmACErMCtJ1GuamHCfSEg3iLyLaPAmtRM9HFUVCsMEL3GwLzqEasH3fy9dpUrAh8FqAHPT16gAx7ePEPU8k9obwUyYqkxMBuyaMonoy37GejLXzpzM9DTacEuNCBKw9hVHnDCB5Zxkhuj5kkaH3794qur5GCF3XKFnWNuKf35DBwVeEq3SMMsWmcBB6ZqfJJxa4vCLS6aEhtDxnSxw1TS8T9bvu91dXLH6HoAfK5vnoGHKP387yTuJmcbacFtvBoT6EWDS6DvXQx9FptRgojeF9T1ZjCChE6igPL9WhWPvvCEm6BMR2Jtsxw16JJzqMW33W5CBJstoi8oSKE2yrw7i2hxsyY6UPDWZUe4Cex2tSfWSzSS3tXo5ahVMfoVHxUmmKJoE6St16U58ETVipwqU6WLJT6BGYboueetYfbzL37FPgQEruWWNT",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2056c1ac12468c51c674148fb884b90c7388879bd3014377eb71db4e9e06702093",
"sigmaType": "Coll[SByte]",
"renderedValue": "56c1ac12468c51c674148fb884b90c7388879bd3014377eb71db4e9e06702093"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e20da065c4df32915cca4623bc54f0a2ac609847f5b18090d6e69ed0823547c4775",
"sigmaType": "Coll[SByte]",
"renderedValue": "da065c4df32915cca4623bc54f0a2ac609847f5b18090d6e69ed0823547c4775"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "1b299a77e9e6486141bde40537ac53fdf58a3937bf45663df0d0370b52834b2c",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "c58a57c7edda777b8c0c5db45f97cb4f2e0f21c3dbfd036c5c23025b88d32be3",
"outputTransactionId": "acfa477c5429e2d5719b9a940cea5fea822490599326f66362e087e7a11ba0b7",
"outputIndex": 1,
"outputGlobalIndex": 49718176,
"outputCreatedAt": 1601907,
"outputSettledAt": 1601910,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e66a56f163c8b26ac00e0e988ba7ead3078e15867a939bf6b8b997147c37697b",
"sigmaType": "Coll[SByte]",
"renderedValue": "e66a56f163c8b26ac00e0e988ba7ead3078e15867a939bf6b8b997147c37697b"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2086c42609e06a6cdbc6dea3a412a6a52225cfd8472b89b8537b89b6b0347cd4a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "86c42609e06a6cdbc6dea3a412a6a52225cfd8472b89b8537b89b6b0347cd4a3"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "fd973636cf3d8e70b329d5fcb67a0b037ffaad41be763970bcae92e1709002a8",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "c58a57c7edda777b8c0c5db45f97cb4f2e0f21c3dbfd036c5c23025b88d32be3",
"outputTransactionId": "882a4047e167079d541db9d35cc10f87519cd0519b647ee6221979a97af3c3ef",
"outputIndex": 1,
"outputGlobalIndex": 49718180,
"outputCreatedAt": 1601906,
"outputSettledAt": 1601910,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206b4724495023f564569f86d69310a4568f0d4db560076391dd63321513bfac1b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6b4724495023f564569f86d69310a4568f0d4db560076391dd63321513bfac1b"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2019b5040ad3304900f5b0275a0dd9615ae69446fddb92c7b6282561698461541c",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b5040ad3304900f5b0275a0dd9615ae69446fddb92c7b6282561698461541c"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "a082986e3e9fc5953406106b98dbc822a5b8b77219499552a5278e5e380fa059",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "c58a57c7edda777b8c0c5db45f97cb4f2e0f21c3dbfd036c5c23025b88d32be3",
"outputTransactionId": "7782234febee88bfa3d83f6140abe26a55a2a97d2c2fb34d893804d981debd80",
"outputIndex": 1,
"outputGlobalIndex": 49718185,
"outputCreatedAt": 1601907,
"outputSettledAt": 1601910,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0e20418d54ded69652f137f5b98b7abdccad7f8214c8ecaef7ba5d2b438e6ebee156",
"sigmaType": "Coll[SByte]",
"renderedValue": "418d54ded69652f137f5b98b7abdccad7f8214c8ecaef7ba5d2b438e6ebee156"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d827936a055445cbe9b178cc00a6ffe0f54f5949431b05f85c30d21fe931a5fe"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
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},
{
"boxId": "876873121b52d53b99e2d80615864afadf90f116adbecd4b38db03f853b9aa63",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "c58a57c7edda777b8c0c5db45f97cb4f2e0f21c3dbfd036c5c23025b88d32be3",
"outputTransactionId": "a20a5a16a94656d9f0fa6da375e4e4b4e322e3ee5ff5cdc9b57adc9b99513ffe",
"outputIndex": 1,
"outputGlobalIndex": 49718190,
"outputCreatedAt": 1601906,
"outputSettledAt": 1601910,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYa3qBuYZ3teFTEJP1ziojbVZAYdZF528CNfT5tiycZoiqXfZEqgud81sBrXGyGoanY95RS1xwRSzc4nSGhvhg9Awr23q8vde4k7PWrErq42DeCwborsxAwKm1YrWJEwD8KZiKmSMR9jCD3pTxfsvoq4yMJeh4bscJKRj9iuy79tzWT3NU4L1vrVNjQd9ksz8V2mUeU7EXouDTHxAM5Vci3HgeC2CBqY23J3mpXryfb3UPha7a4zf2eF7Tv5viA7ayrGgu582W2ZttnLFHQTRn3gnTU715qzjk7NMer98y528FxXNZsjSFs72tZm4kL6zMthigXX1yNBtr5vXmYKcHUyAeRWuX2CK8jAFWYF4cJeceCN5E2KjoTK47Ge7q8B9MNZBVU83HPGzjVkqjvFDQsDZyt7hyCRhguwKibwyw1Y76ceNXrhzwPgukP6PsCWyipqSMVTAxB3QNR46mGi1v2S3MNKR9bThJU98yQntABweyLuqHVmALaU5s971p9SPi25gVnLsFD2FQnczLpHR2g8iJ2PcUZageyVyCxKbX3EvUoyQTymeaQuSwNgySKAs67YgUPFGcmXD33Fbs7vQvkrDbqUVprE2igGNZvCmStypiqZA6ijDzbaTX1XwFAehFT39WyGQ9NXzCtYn35fj95NLkDWugvEmqL5to8JFbCcHbV13WCJaVgvcerLKU922nuM54QXYNoSQHYdCypp3PXwaWBbsemt1cbH9mGM5JnYuhAm2gKctu7rUwCQ9P6qx7k4nC6ycUWLPsYeaYt23RXxF9cx31A9nUqSW4n4j46j3fVTkBX47C7X2TFF2VgHFJky4d3etKp5EQodYs2caNLgmmACErMCtJ1GuamHCfSEg3iLyLaPAmtRM9HFUVCsMEL3GwLzqEasH3fy9dpUrAh8FqAHPT16gAx7ePEPU8k9obwUyYqkxMBuyaMonoy37GejLXzpzM9DTacEuNCBKw9hVHnDCB5Zxkhuj5kkaH3794qur5GCF3XKFnWNuKf35DBwVeEq3SMMsWmcBB6ZqfJJxa4vCLS6aEhtDxnSxw1TS8T9bvu91dXLH6HoAfK5vnoGHKP387yTuJmcbacFtvBoT6EWDS6DvXQx9FptRgojeF9T1ZjCChE6igPL9WhWPvvCEm6BMR2Jtsxw16JJzqMW33W5CBJstoi8oSKE2yrw7i2hxsyY6UPDWZUe4Cex2tSfWSzSS3tXo5ahVMfoVHxUmmKJoE6St16U58ETVipwqU6WLJT6BGYboueetYfbzL37FPgQEruWWNT",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2093067205b01c7244aa6f96283b896a254cb974e25fb7e3999c7a63b88593b6a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "93067205b01c7244aa6f96283b896a254cb974e25fb7e3999c7a63b88593b6a2"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e20856cfeb862491d58c2cd56e65fd5f558a60579d68a63ebbcd3d4ad9acca0a0cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "856cfeb862491d58c2cd56e65fd5f558a60579d68a63ebbcd3d4ad9acca0a0cc"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "1463bfab47c1f35fe67b310c39dcf80cd97f1b9bbd65778938692ebd0abdc092",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "4d4f74a80cc508b8fd5e53789308dea4131a60ddcfa009fdb54685c1ec30f840",
"outputTransactionId": "5333d425c73b1527f0b8e6880ba0871a0db6d57a9c27d0bad6543ed051162070",
"outputIndex": 1,
"outputGlobalIndex": 49718213,
"outputCreatedAt": 1601908,
"outputSettledAt": 1601911,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYa3qBuYZ3teFTEJP1ziojbVZAYdZF528CNfT5tiycZoiqXfZEqgud81sBrXGyGoanY95RS1xwRSzc4nSGhvhg9Awr23q8vde4k7PWrErq42DeCwborsxAwKm1YrWJEwD8KZiKmSMR9jCD3pTxfsvoq4yMJeh4bscJKRj9iuy79tzWT3NU4L1vrVNjQd9ksz8V2mUeU7EXouDTHxAM5Vci3HgeC2CBqY23J3mpXryfb3UPha7a4zf2eF7Tv5viA7ayrGgu582W2ZttnLFHQTRn3gnTU715qzjk7NMer98y528FxXNZsjSFs72tZm4kL6zMthigXX1yNBtr5vXmYKcHUyAeRWuX2CK8jAFWYF4cJeceCN5E2KjoTK47Ge7q8B9MNZBVU83HPGzjVkqjvFDQsDZyt7hyCRhguwKibwyw1Y76ceNXrhzwPgukP6PsCWyipqSMVTAxB3QNR46mGi1v2S3MNKR9bThJU98yQntABweyLuqHVmALaU5s971p9SPi25gVnLsFD2FQnczLpHR2g8iJ2PcUZageyVyCxKbX3EvUoyQTymeaQuSwNgySKAs67YgUPFGcmXD33Fbs7vQvkrDbqUVprE2igGNZvCmStypiqZA6ijDzbaTX1XwFAehFT39WyGQ9NXzCtYn35fj95NLkDWugvEmqL5to8JFbCcHbV13WCJaVgvcerLKU922nuM54QXYNoSQHYdCypp3PXwaWBbsemt1cbH9mGM5JnYuhAm2gKctu7rUwCQ9P6qx7k4nC6ycUWLPsYeaYt23RXxF9cx31A9nUqSW4n4j46j3fVTkBX47C7X2TFF2VgHFJky4d3etKp5EQodYs2caNLgmmACErMCtJ1GuamHCfSEg3iLyLaPAmtRM9HFUVCsMEL3GwLzqEasH3fy9dpUrAh8FqAHPT16gAx7ePEPU8k9obwUyYqkxMBuyaMonoy37GejLXzpzM9DTacEuNCBKw9hVHnDCB5Zxkhuj5kkaH3794qur5GCF3XKFnWNuKf35DBwVeEq3SMMsWmcBB6ZqfJJxa4vCLS6aEhtDxnSxw1TS8T9bvu91dXLH6HoAfK5vnoGHKP387yTuJmcbacFtvBoT6EWDS6DvXQx9FptRgojeF9T1ZjCChE6igPL9WhWPvvCEm6BMR2Jtsxw16JJzqMW33W5CBJstoi8oSKE2yrw7i2hxsyY6UPDWZUe4Cex2tSfWSzSS3tXo5ahVMfoVHxUmmKJoE6St16U58ETVipwqU6WLJT6BGYboueetYfbzL37FPgQEruWWNT",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ebbf5281d086c001b207c34ac2765b974ad343a8e9fe1f7eac174a98ddd7207d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ebbf5281d086c001b207c34ac2765b974ad343a8e9fe1f7eac174a98ddd7207d"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e209fe78e683e51a5911ca18f842f177514b9f4f42656336e3e4ab98574b2dd5d16",
"sigmaType": "Coll[SByte]",
"renderedValue": "9fe78e683e51a5911ca18f842f177514b9f4f42656336e3e4ab98574b2dd5d16"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "04ac34aeed21d5b8855f93050adf35a00897ede0841a77e44901f7d002e90221",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "4d4f74a80cc508b8fd5e53789308dea4131a60ddcfa009fdb54685c1ec30f840",
"outputTransactionId": "e78e0b13cab0b0c5ecf98b7bd75c2f9618bdbff88a68545c0c8845fda8926e5f",
"outputIndex": 1,
"outputGlobalIndex": 49718218,
"outputCreatedAt": 1601906,
"outputSettledAt": 1601911,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20adb61d1738ac8dfd9c8969cfcb79fc5c3aa27f69252d9135bddd045871ca587c",
"sigmaType": "Coll[SByte]",
"renderedValue": "adb61d1738ac8dfd9c8969cfcb79fc5c3aa27f69252d9135bddd045871ca587c"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e2051a1bf5f6c040c6da4260915c799f2cafb677e2925a55eca5dce7f88647d8e53",
"sigmaType": "Coll[SByte]",
"renderedValue": "51a1bf5f6c040c6da4260915c799f2cafb677e2925a55eca5dce7f88647d8e53"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "6e4fdca57eea35f0003bd822c2ff19edc9dda3fa0f6ac4045c897d7bc63c1879",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "4d4f74a80cc508b8fd5e53789308dea4131a60ddcfa009fdb54685c1ec30f840",
"outputTransactionId": "467a3bec026f295a56fabd5e392eb128466a3c29788a44d11e4524ca8e6ae346",
"outputIndex": 1,
"outputGlobalIndex": 49718223,
"outputCreatedAt": 1601907,
"outputSettledAt": 1601911,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-26,57,-25,89,-102,-30,-124,21,54,-103,-120,111,39,-43,-61,56,-10,94,8,-77,10,-79,41,65,-1,8,-116,67,109,-72,100,-122)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(23,-13,-54,-98,55,45,125,92,-73,-16,103,13,6,-15,-2,-90,112,65,-1,122,-91,-18,29,-48,73,-119,-94,-123,50,-68,5,56)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 3000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201c0bd68d4d277ad5a419c8e03f0fe8173c9ea28edd94b03d6482aea916aee41b",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c0bd68d4d277ad5a419c8e03f0fe8173c9ea28edd94b03d6482aea916aee41b"
},
"R5": {
"serializedValue": "0e205cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cd86facfd77d63e4268986c15bfc4666d52dc7ccfac967a3148f16d9551bca3"
},
"R6": {
"serializedValue": "0e200ea5536ade176d55bd25fa40408e5f0a8331e475041637e91c46035a0bcf21be",
"sigmaType": "Coll[SByte]",
"renderedValue": "0ea5536ade176d55bd25fa40408e5f0a8331e475041637e91c46035a0bcf21be"
},
"R7": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
}
}
},
{
"boxId": "6e3123e05fcccdc614a6c86263d5a4cf29918a762724879648bf5a3aef1aaaf1",
"value": 2000000,
"index": 14,
"spendingProof": "09a62b8f3d3f7876424487ed3bd7282423427412ac00c688deeb8589925477a2d8263c01e4af2cf18fe451e936b1651160cd0e021d40de7f",
"outputBlockId": "26319e332baef9a2c42384a38e35457fe14f83ac7829ad3d5d04f05040bb8513",
"outputTransactionId": "5bbadfee41fc135a66ff0667c203150a117b56bc84a909970cc71dc1a6feb0cf",
"outputIndex": 3,
"outputGlobalIndex": 48837960,
"outputCreatedAt": 1566879,
"outputSettledAt": 1566882,
"ergoTree": "0008cd03a380ef693a5d593dd551ddd27e5104eaf3b6bfcd2357edea8750986ddf17e1f6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a380ef,ef89bf,...)))}",
"address": "9hhpAyb6bf9EUjeHke3K3d6udaa7pBdW8zFr5W4s9QaPz9X7SZ6",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 99,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "e98e88ea210b7b078abbc374f67994e056dd0baf687edfb65270618e4497901c",
"value": 2000000,
"index": 15,
"spendingProof": "9d05f6fcd6c3331509fbaa51c04bef6b3aa2c2580d1c020602a8c09423c0a9a071ac8b13aaabab8d2efb3dda4e0ba3b021558e8b4d965f75",
"outputBlockId": "f76dd439270b81237adf9e7909aaa15523c2340144638f13cd49d1c47174b0df",
"outputTransactionId": "86c74b71cc196542c3f8bb808c4f500c3cccaf02fcf5fe28c1b59215852c2291",
"outputIndex": 3,
"outputGlobalIndex": 48958025,
"outputCreatedAt": 1571212,
"outputSettledAt": 1571215,
"ergoTree": "0008cd03a380ef693a5d593dd551ddd27e5104eaf3b6bfcd2357edea8750986ddf17e1f6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a380ef,ef89bf,...)))}",
"address": "9hhpAyb6bf9EUjeHke3K3d6udaa7pBdW8zFr5W4s9QaPz9X7SZ6",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 11472,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "1cbd46e9a1b4475807628f81a1a0932a44b62d06bd678f059059e82e1d75c526",
"value": 1100000,
"index": 0,
"outputBlockId": "908cce681ebf72e349f9c838fac2c78ffbb9ad30ac4e6101ea28f6d4d12995f7",
"outputTransactionId": "531bc46482afc9fcd42b0a57cfb006fde37fcf8b6b15aea2d2ccc9df0619bf4f",
"outputIndex": 1,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
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"additionalRegisters": {
"R4": {
"serializedValue": "0e04646f6765",
"sigmaType": "Coll[SByte]",
"renderedValue": "646f6765"
},
"R5": {
"serializedValue": "0520",
"sigmaType": "SLong",
"renderedValue": "16"
}
}
}
],
"outputs": [
{
"boxId": "5006d5d0448856fc9af3e88679c363129a3295039909395c2f4c47f7238ce561",
"transactionId": "ffad00a0e1ca41f15d6646c5a263e12c4ac2f45731523fd0c67a31ef6e35f2e1",
"blockId": "311c25ea57f424986d511e8228f16376f3b710630cf584d691bb93c8a2ef43e0",
"value": 28000000,
"index": 0,
"globalIndex": 49718300,
"creationHeight": 1601912,
"settlementHeight": 1601913,
"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(-119,30,110,-53,73,76,86,68,-48,-118,-115,-77,-42,-49,-77,-119,-79,84,-59,95,-102,-121,-10,-32,90,-100,-82,-7,112,-78,-42,18)\n10: 1\n11: 0\n12: Coll(-107,-81,89,79,100,84,69,-60,14,8,72,-89,-52,125,99,108,-114,35,22,-43,112,-94,97,-70,-117,121,-79,-87,-85,-66,-125,49)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"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": "5d727b722fb72aa02257d987970c68aeda41614518bab9f0d8a21bbc75b7a3b0",
"index": 0,
"amount": 42000000,
"name": "rspv2DogeRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2042c352e837aa729df4e3edd6bbe61311bd9c88d3b4fd6326950aa10a81c76afd",
"sigmaType": "Coll[SByte]",
"renderedValue": "42c352e837aa729df4e3edd6bbe61311bd9c88d3b4fd6326950aa10a81c76afd"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64643261643231386136623033313866633739633730333530313038646534366231343866343936663738626635383739313037643738313937306635393333,646f6765,63617264616e6f,626f783a366534623264336265383237333537316138313464303361306464333935363135636665336433633565393038396566336232646436633263663634663465632e30,6164647231713870777833716c7966673733377336657936786b306e7678637072373737633678307039326e747278386e6b63673076383676766432356432643736727935727073716e30613970383064736d776b3538676d6a3578773570377332617a6b6b78,0000000031a69240,0000000002804cb7,0000000000eeb07b,646f6765,31346538313536376535363530333534616437633065613661373035623533643466643361363164613837336238633230333739636136652e373237333434346634373435,64666665633439626365356566663466613966323837313263393733313435616233666561333564613830633831623830383533343036646435303232653762,0000000000595c26]"
},
"R6": {
"serializedValue": "0e20467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29",
"sigmaType": "Coll[SByte]",
"renderedValue": "467e09462c589e291cb7a5b81bc51cff61f866ad7da09fbebe3388529b694f29"
},
"R7": {
"serializedValue": "041c",
"sigmaType": "SInt",
"renderedValue": "14"
}
},
"spentTransactionId": "24ba257a4256c02dba0ba7d1bb73c8d172d40fa29bdf312d8d86870af74f43c2",
"mainChain": true
},
{
"boxId": "44d42ec8eafc71cb019ba5153cc7bc795bcc942d9de43a67956bb05554d6bf8b",
"transactionId": "ffad00a0e1ca41f15d6646c5a263e12c4ac2f45731523fd0c67a31ef6e35f2e1",
"blockId": "311c25ea57f424986d511e8228f16376f3b710630cf584d691bb93c8a2ef43e0",
"value": 2000000,
"index": 1,
"globalIndex": 49718301,
"creationHeight": 1601912,
"settlementHeight": 1601913,
"ergoTree": "0008cd03a380ef693a5d593dd551ddd27e5104eaf3b6bfcd2357edea8750986ddf17e1f6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a380ef,ef89bf,...)))}",
"address": "9hhpAyb6bf9EUjeHke3K3d6udaa7pBdW8zFr5W4s9QaPz9X7SZ6",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 99,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 11472,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3122e231881199b18a8af671c9ef19fd86bde076aaa0f617ecd74f373af7837b",
"transactionId": "ffad00a0e1ca41f15d6646c5a263e12c4ac2f45731523fd0c67a31ef6e35f2e1",
"blockId": "311c25ea57f424986d511e8228f16376f3b710630cf584d691bb93c8a2ef43e0",
"value": 2000000,
"index": 2,
"globalIndex": 49718302,
"creationHeight": 1601912,
"settlementHeight": 1601913,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e2f47adab9f528244459f164a1a42f5c6b7e211d11e3e192b910f9b614edb7ab",
"mainChain": true
}
],
"size": 1872,
"isUnconfirmed": false
}