Transaction
ID: 573c5b9e3d...9dec
Inputs (10)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
104.72
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
6,105.60
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
310.20
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
310.20
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Unspent
Address:
Settlement height:
Value:
0.02015 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 26,238
Total coins transferred: 0.03215 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000107 ERG
Raw Transaction Data
{
"id": "573c5b9e3dcfc195eee576f28fc26ab569723ebd00f432170a23973d2da19dec",
"blockId": "23e5a7cc37221ed95c84e2ac93cff453547fa74283786cc35601d774feb3c2a2",
"inclusionHeight": 1736686,
"timestamp": 1772879094971,
"index": 6,
"globalIndex": 10409603,
"numConfirmations": 26238,
"inputs": [
{
"boxId": "cd622d857105051281ecbc267ef536c203555d9550befc804271ecddaa34ec8a",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "32da91343f79c5058daf7f6da6d0771a35e0e13e5e3a0dca0eb7e70a16950190",
"outputTransactionId": "3a97b2a3a10f70ea9cbe2304a5a05cf2021f748704398d87825ae92f60d26f36",
"outputIndex": 1,
"outputGlobalIndex": 53997117,
"outputCreatedAt": 1736679,
"outputSettledAt": 1736680,
"ergoTree": "102404000e201d42974b8c59c8b159f1a6205925af33d6495393f5a001bbe036d8edf6405665040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20381423206a33068abe7285067d568c3c8bd0f455cf46b634523b97d210587bc704000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(29,66,-105,75,-116,89,-56,-79,89,-15,-90,32,89,37,-81,51,-42,73,83,-109,-11,-96,1,-69,-32,54,-40,-19,-10,64,86,101)\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(56,20,35,32,106,51,6,-118,-66,114,-123,6,125,86,-116,60,-117,-48,-12,85,-49,70,-74,52,82,59,-105,-46,16,88,123,-57)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d"
},
"R5": {
"serializedValue": "0e20c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a"
},
"R6": {
"serializedValue": "0e20890721e2bb5d5474bb78921588222da903558f464b620dd25e29df67f2df1ca4",
"sigmaType": "Coll[SByte]",
"renderedValue": "890721e2bb5d5474bb78921588222da903558f464b620dd25e29df67f2df1ca4"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "8db6b559a7000c04ad559f63fe2a8ee18e46f28001563f8a6586659d4174cf71",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "32da91343f79c5058daf7f6da6d0771a35e0e13e5e3a0dca0eb7e70a16950190",
"outputTransactionId": "68c47fea50599a06ec17e0d00c16c23b405d1195ee3c0778c6dba7813427489d",
"outputIndex": 1,
"outputGlobalIndex": 53997122,
"outputCreatedAt": 1736677,
"outputSettledAt": 1736680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(29,66,-105,75,-116,89,-56,-79,89,-15,-90,32,89,37,-81,51,-42,73,83,-109,-11,-96,1,-69,-32,54,-40,-19,-10,64,86,101)\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(56,20,35,32,106,51,6,-118,-66,114,-123,6,125,86,-116,60,-117,-48,-12,85,-49,70,-74,52,82,59,-105,-46,16,88,123,-57)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202f7bbfdb3f2d3ec6c91972720a0416d749f04f14b5cea24a1494b946afe98ee4",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f7bbfdb3f2d3ec6c91972720a0416d749f04f14b5cea24a1494b946afe98ee4"
},
"R5": {
"serializedValue": "0e20c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a"
},
"R6": {
"serializedValue": "0e20e8f01d41296f184fea12015c18bc967cacc710d08c3e4be1447359fa23a1384d",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8f01d41296f184fea12015c18bc967cacc710d08c3e4be1447359fa23a1384d"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "c1ab7090ca1c4591ccb3a9a52711292d6ab32db6b86c2d8537d99397b9250b84",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "32da91343f79c5058daf7f6da6d0771a35e0e13e5e3a0dca0eb7e70a16950190",
"outputTransactionId": "800b61a7960e5aeb6406a458bec0cbc749391f0e6ee9d377d3a24b557d9538de",
"outputIndex": 1,
"outputGlobalIndex": 53997127,
"outputCreatedAt": 1736676,
"outputSettledAt": 1736680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(29,66,-105,75,-116,89,-56,-79,89,-15,-90,32,89,37,-81,51,-42,73,83,-109,-11,-96,1,-69,-32,54,-40,-19,-10,64,86,101)\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(56,20,35,32,106,51,6,-118,-66,114,-123,6,125,86,-116,60,-117,-48,-12,85,-49,70,-74,52,82,59,-105,-46,16,88,123,-57)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf",
"sigmaType": "Coll[SByte]",
"renderedValue": "1f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf"
},
"R5": {
"serializedValue": "0e20c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a"
},
"R6": {
"serializedValue": "0e2094650402d639bc8a380322070f0985c028d2d2111d8f3116c92ce65d8715ceeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "94650402d639bc8a380322070f0985c028d2d2111d8f3116c92ce65d8715ceeb"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "85aa1c0181b63543747a7b10a13dfc06af871ab23c7a4571494332a58ee8e476",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "32da91343f79c5058daf7f6da6d0771a35e0e13e5e3a0dca0eb7e70a16950190",
"outputTransactionId": "922907b822c5300179fc6233e33e8a56beca690fcf39bbe76af16f446870df47",
"outputIndex": 1,
"outputGlobalIndex": 53997132,
"outputCreatedAt": 1736677,
"outputSettledAt": 1736680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(29,66,-105,75,-116,89,-56,-79,89,-15,-90,32,89,37,-81,51,-42,73,83,-109,-11,-96,1,-69,-32,54,-40,-19,-10,64,86,101)\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(56,20,35,32,106,51,6,-118,-66,114,-123,6,125,86,-116,60,-117,-48,-12,85,-49,70,-74,52,82,59,-105,-46,16,88,123,-57)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4",
"sigmaType": "Coll[SByte]",
"renderedValue": "148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4"
},
"R5": {
"serializedValue": "0e20c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2af57992d5e7adb71671f974eb2b0c3cb5514f35d873ec3a8f6932747bb3b7a"
},
"R6": {
"serializedValue": "0e208652e680689879e0132928905fbcdfeef6da0ccebfb6fa8a5cd65639b560f4ad",
"sigmaType": "Coll[SByte]",
"renderedValue": "8652e680689879e0132928905fbcdfeef6da0ccebfb6fa8a5cd65639b560f4ad"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "0de4e9892cbc39b31986e07000d8e2f5f22fbb32d7d2491fe4807066782cca43",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "32da91343f79c5058daf7f6da6d0771a35e0e13e5e3a0dca0eb7e70a16950190",
"outputTransactionId": "8962321a2d2d6ecb25217d5d21bf1427ec3309e8c877b537e479ba5ad9b42580",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(29,66,-105,75,-116,89,-56,-79,89,-15,-90,32,89,37,-81,51,-42,73,83,-109,-11,-96,1,-69,-32,54,-40,-19,-10,64,86,101)\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(56,20,35,32,106,51,6,-118,-66,114,-123,6,125,86,-116,60,-117,-48,-12,85,-49,70,-74,52,82,59,-105,-46,16,88,123,-57)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": [
{
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"sigmaType": "Coll[SByte]",
"renderedValue": "4bd5613f6e97dde0ed601e69db92304a0315a4f0b3565bf3df0537ee4e56d17f"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ef5a19e1c1e5e90445915b2446f35bc1f0663d0243d57093bb28ccec2321e663"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
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{
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"spendingProof": "0d91a231427cb50293cd8f33a3d37013082107f3c1b4b6e7ed743fe50e18eda63ff866a1c22994b1269cfbd223da9c63738fc7c642a60914",
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"outputGlobalIndex": 49553324,
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"outputSettledAt": 1594554,
"ergoTree": "0008cd0266878fb81010c98db20ec841476b48bb043dda8b89d41263b2ad41520df76a3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66878f,dc4ae6,...)))}",
"address": "9fJDVdXCppBM24CPZ9B56Muj8uTiYXSoTit3YYjBT1SekWZcy1M",
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{
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"index": 0,
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}
],
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{
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"address": "9fJDVdXCppBM24CPZ9B56Muj8uTiYXSoTit3YYjBT1SekWZcy1M",
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{
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{
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{
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{
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"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "e0848da8369f38296fe8217ea0bfe5e98b5a5258d27f896a1c2b21a3c970f483",
"transactionId": "573c5b9e3dcfc195eee576f28fc26ab569723ebd00f432170a23973d2da19dec",
"blockId": "23e5a7cc37221ed95c84e2ac93cff453547fa74283786cc35601d774feb3c2a2",
"value": 10000000,
"index": 0,
"globalIndex": 53997401,
"creationHeight": 1736685,
"settlementHeight": 1736686,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(91,76,28,58,-107,-99,-42,-123,95,-109,52,101,29,69,88,-105,21,38,-38,46,-66,96,52,-14,-27,46,-48,98,-6,64,18,83)\n10: 1\n11: 0\n12: Coll(12,-52,-17,97,33,85,102,67,-97,34,-75,-92,-86,-89,86,113,-125,-44,-7,-34,-106,62,123,-51,-78,124,-100,-19,118,-62,-85,12)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 5000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202fd163eb4fceff2fac0a3a83f242594d390a0fe1756a431391eed56c776f6127",
"sigmaType": "Coll[SByte]",
"renderedValue": "2fd163eb4fceff2fac0a3a83f242594d390a0fe1756a431391eed56c776f6127"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[65323061663961326336386365383863366534356434343536646535323637653735316132346636343539303664663763393639343138653663646338306532,63617264616e6f,657468657265756d,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,00000000003e8fa0,000000000007a120,00000000003567e0,616461,307864633737356333393234373961346136613639646235363462623439356432663064386566333636,39633534356536626663376366376264636635313739643134656564383765653462323065646261353163396561363136323430643233373333303334636431,0000000000c850ef]"
},
"R6": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "8ffa615a1b0afe6845dcbe25b2726ac42c72b752750466a32775464a3a647ea1",
"mainChain": true
},
{
"boxId": "34805b8ee31391a8594d188df46df16adbf5140a6698b227c7d2bb78a6cbd230",
"transactionId": "573c5b9e3dcfc195eee576f28fc26ab569723ebd00f432170a23973d2da19dec",
"blockId": "23e5a7cc37221ed95c84e2ac93cff453547fa74283786cc35601d774feb3c2a2",
"value": 20150000,
"index": 1,
"globalIndex": 53997402,
"creationHeight": 1736685,
"settlementHeight": 1736686,
"ergoTree": "0008cd0266878fb81010c98db20ec841476b48bb043dda8b89d41263b2ad41520df76a3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66878f,dc4ae6,...)))}",
"address": "9fJDVdXCppBM24CPZ9B56Muj8uTiYXSoTit3YYjBT1SekWZcy1M",
"assets": [
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 0,
"amount": 104720,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 1,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 2,
"amount": 3102,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 3,
"amount": 3102,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "fee6475c449f3be20afbec710ac242ee450de924070fc62fdb09a122e321ae5c",
"transactionId": "573c5b9e3dcfc195eee576f28fc26ab569723ebd00f432170a23973d2da19dec",
"blockId": "23e5a7cc37221ed95c84e2ac93cff453547fa74283786cc35601d774feb3c2a2",
"value": 2000000,
"index": 2,
"globalIndex": 53997403,
"creationHeight": 1736685,
"settlementHeight": 1736686,
"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": "42101d02ada9963c48839ba4a0f3746d4f240574ac5f500bcf940b22a6bcda4b",
"mainChain": true
}
],
"size": 1870,
"isUnconfirmed": false
}