Transaction
ID: 1c6c3acd2e...15ac
Inputs (6)
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:
0.519835898 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.517835898 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 167,167
Total coins transferred: 0.529835898 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001425 ERG
Raw Transaction Data
{
"id": "1c6c3acd2e43572d49519dfef0dbfad53486d80fbb75a368b79d4f0db19f15ac",
"blockId": "6f7161c862d5935e03ea42d9ff4064c2f5894b84eb7ca6cd73ba7046440cd591",
"inclusionHeight": 1594475,
"timestamp": 1755675262316,
"index": 7,
"globalIndex": 9374745,
"numConfirmations": 167167,
"inputs": [
{
"boxId": "f9b34070a4290b61edc47b30561bc069821e11e1d4e9544e2a05f2edcf091b0e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "aca4205c756400fd0ba2a0170214c5d1f0ab1b89dd47964f22a617a249f7b16d",
"outputTransactionId": "2cd93791e1a84e79d3f39f58367cb15cb9b27f577f83687d6201c68a1658ffcd",
"outputIndex": 1,
"outputGlobalIndex": 49551141,
"outputCreatedAt": 1594465,
"outputSettledAt": 1594467,
"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": "0e20c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334",
"sigmaType": "Coll[SByte]",
"renderedValue": "c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334"
},
"R6": {
"serializedValue": "0e203a1c534fa05603356f5fd739d9ac1d876b35fff0da43b14a6814bd8f9911d213",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a1c534fa05603356f5fd739d9ac1d876b35fff0da43b14a6814bd8f9911d213"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "9f0b561fd38a4f9ac149400bcdc4b295fe4b7d0cf89fdcb289d32c87985810d8",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "aca4205c756400fd0ba2a0170214c5d1f0ab1b89dd47964f22a617a249f7b16d",
"outputTransactionId": "a0213c36d491b1a2aad22b44daf23ce3c2650a2efa99c77b94898c2409f5593f",
"outputIndex": 1,
"outputGlobalIndex": 49551146,
"outputCreatedAt": 1594465,
"outputSettledAt": 1594467,
"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": "0e20c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334",
"sigmaType": "Coll[SByte]",
"renderedValue": "c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334"
},
"R6": {
"serializedValue": "0e20b61984cdbf80090211a96496b17dc92c55ca604965ac5bafc5066acdf136a3eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "b61984cdbf80090211a96496b17dc92c55ca604965ac5bafc5066acdf136a3eb"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "ceb79a18de1d63a9f126b9dfdfd2bb4d224f879100b17fcd6abc96d5fb2e11bf",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "aca4205c756400fd0ba2a0170214c5d1f0ab1b89dd47964f22a617a249f7b16d",
"outputTransactionId": "30bebfedf47d691fed68a4b757b64398d9252978a0bfdc8dda38f0b99a2a9fb2",
"outputIndex": 1,
"outputGlobalIndex": 49551151,
"outputCreatedAt": 1594465,
"outputSettledAt": 1594467,
"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": "0e20c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334",
"sigmaType": "Coll[SByte]",
"renderedValue": "c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334"
},
"R6": {
"serializedValue": "0e2000893e5641d436a989614289079e3ff515f8b1c7b8f06bc5e0a58316431eecf6",
"sigmaType": "Coll[SByte]",
"renderedValue": "00893e5641d436a989614289079e3ff515f8b1c7b8f06bc5e0a58316431eecf6"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "f758b8efee9fdd08d9e93edd6b37db99ac98fb097e2d9614d55a350db128c1b3",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "aca4205c756400fd0ba2a0170214c5d1f0ab1b89dd47964f22a617a249f7b16d",
"outputTransactionId": "78881b8eea97898320c34469a8657fea28286f18d6c95b4296096a86a55c3f49",
"outputIndex": 1,
"outputGlobalIndex": 49551156,
"outputCreatedAt": 1594465,
"outputSettledAt": 1594467,
"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": "0e20e1896615e3bb3319269ab6236a74c431786ca198b614ab9549efc535a70c4fbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "e1896615e3bb3319269ab6236a74c431786ca198b614ab9549efc535a70c4fbd"
},
"R5": {
"serializedValue": "0e20c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334",
"sigmaType": "Coll[SByte]",
"renderedValue": "c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334"
},
"R6": {
"serializedValue": "0e20d26587caffff5e1520ad7db4bdf28258c1b519be3b9324b66edc5aeba81127ab",
"sigmaType": "Coll[SByte]",
"renderedValue": "d26587caffff5e1520ad7db4bdf28258c1b519be3b9324b66edc5aeba81127ab"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "f79980f89afef1a26754f31cb281960f65544c7303404be36c6431546322609c",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "aca4205c756400fd0ba2a0170214c5d1f0ab1b89dd47964f22a617a249f7b16d",
"outputTransactionId": "842e20aac26dcc2d361b09a87dd64a0640b4e2af639a2485792b06921f4fce44",
"outputIndex": 1,
"outputGlobalIndex": 49551161,
"outputCreatedAt": 1594465,
"outputSettledAt": 1594467,
"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": "0e20c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334",
"sigmaType": "Coll[SByte]",
"renderedValue": "c24eb0ce85300403b3e2b8a4a52525e69bdf445c43a1ac90a6b8063e5bb6d334"
},
"R6": {
"serializedValue": "0e20b96fac1943b3d560db46c919fc377fedbe088f3d6aed49e2d9f758b88c00f6a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b96fac1943b3d560db46c919fc377fedbe088f3d6aed49e2d9f758b88c00f6a3"
},
"R7": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
}
}
},
{
"boxId": "d606d59af7e11869be169c1422ade3c5a4f53a6f1df2c82e52ab5231bcbcccda",
"value": 519835898,
"index": 5,
"spendingProof": "462dc952141c3c3694b59f33240f115d91884c3d76f4583791e09ea0648361641c40a090e9e691ffdc1f57f1f3e16e06bad76b9a83633334",
"outputBlockId": "a2747b07a4495ab5a5eb4ba5a04211a76c43eaf37e712182bfab95997a17cc7f",
"outputTransactionId": "81120a4e66c5d1663db05ada314264d3cb5f989404f78e81685fa2af29a1ff2d",
"outputIndex": 0,
"outputGlobalIndex": 49374308,
"outputCreatedAt": 1587547,
"outputSettledAt": 1587548,
"ergoTree": "0008cd0367c37aeb0a87668b5d14f4ed59afebfeeb6754bb75855e63861e0cbe5ece7e25",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67c37a,8a005f,...)))}",
"address": "9hFWCA94C78MVPbud3SpX3ywecfyiZBtvziF3HMXx6b75uyyES7",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "95caa7301b0536c6052fd1c1eebfc1b1fa1bcd58d716a5683afde3a6e8167893",
"value": 1100000,
"index": 0,
"outputBlockId": "28a5fa24ca6caae3ddb9b54376af766edc420cd8b4be6e963b022b6b8a7ee9af",
"outputTransactionId": "8892a0efc7cdfd6d1faf60686c0ad954a1b07308f6d045735ab49f899a4de6d8",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "722a5bc0b0c9a3f11bd4a36740b5a38ee7f659d0d0eaaa9185598c41940781f6",
"value": 1100000,
"index": 1,
"outputBlockId": "ce95373687aa5c1e8e28e5d47896076a500812f42267e34cac4b006b1f1c0a8f",
"outputTransactionId": "9abe20b0981a1c647fb345f704c839c220ad72f99714b464d0f87f232c4a68ad",
"outputIndex": 0,
"ergoTree": "1026040004000e20381423206a33068abe7285067d568c3c8bd0f455cf46b634523b97d210587bc7010104020402040604060404040404000404040204000e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae0502040604000400040a0502050604000e20abe839d0c874376d8317381ea98a0b9f21a6f3e0fdeb12aa69236ea43c48fbba04080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "ea4eb54cfef4f2734db2a5c4dc186b041efa615f9aafe045b927f35cb1664ef8",
"transactionId": "1c6c3acd2e43572d49519dfef0dbfad53486d80fbb75a368b79d4f0db19f15ac",
"blockId": "6f7161c862d5935e03ea42d9ff4064c2f5894b84eb7ca6cd73ba7046440cd591",
"value": 10000000,
"index": 0,
"globalIndex": 49551835,
"creationHeight": 1594473,
"settlementHeight": 1594475,
"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": "2gre6iiK4peqnxWfh9wyaVsuWs5wC6fzzSoyGNWTUWyJVvAFbMQPSJ98AMhfBKpZgmMfyWKyBrrxsZasMpt5riaNDB47ywnjQ5iebfvFdSugRCx2rNEqLGCXjNSJLbVaQRLntRuTeeV14saDqiRA3khvbbaX3AM6YsGgUXAhfEBTKm7REbSzKDfC7pGUqYntRRb8YQ8qSa59HfDwu2SucSPk28Zd9oqGj2Z1CGJRinfSvSxTXn8xdDzAv7huQjPBL8wTMNJwig3XbWUZBACmZT8UszK29Tg8hov2H7yBAGXkJV3Kj5rthbg9J6E6tqTxJGAnQXzszxvVFijGRotph9YvjScLx9mH4MeAZXm5Nie7CTdEkL8dRZaqBuhvZeCjes8NU7zDEHDePqy9YtyV3fEL1oe6dR8qCuMQNNDnDWdDhdz1PC9oM4xv7QtPFE4ZvtLoHjrCf4AJYU9XYCVJkH1v5AU4NzVFwaGhi6nTZzwxeFTt624QhMZC2C1sGp1rBVqa",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 5000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201841b4fa53142dcf0cbb5d5aa7d74f3eadaf6a13bc7862285a4197435cc97f7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "1841b4fa53142dcf0cbb5d5aa7d74f3eadaf6a13bc7862285a4197435cc97f7d"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[38666661663366363233326261653066366163353636346136653766333837623439646632363038353434343065303332366536623162346263393335613332,63617264616e6f,6572676f,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558,00000000000dbba1,000000000007a120,0000000000061a80,616461,30383737396466386432326665303936646536623338323236346166306564363835393332366134373231323438346666666666653366623231326437613166,31336430323738353661613233386665323834373133386436363432313033323366386663373063636337363232353761323064303764373733666235313835,0000000000bb655d]"
},
"R6": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "fcb5753ebfdae05c335ba220b3dc7629c54afe2028eb99f23e5ca98d88901a60",
"mainChain": true
},
{
"boxId": "2d915d189102164229b84425ee75848ea92e7360a3f382843aab16404f4ff87e",
"transactionId": "1c6c3acd2e43572d49519dfef0dbfad53486d80fbb75a368b79d4f0db19f15ac",
"blockId": "6f7161c862d5935e03ea42d9ff4064c2f5894b84eb7ca6cd73ba7046440cd591",
"value": 517835898,
"index": 1,
"globalIndex": 49551836,
"creationHeight": 1594473,
"settlementHeight": 1594475,
"ergoTree": "0008cd0367c37aeb0a87668b5d14f4ed59afebfeeb6754bb75855e63861e0cbe5ece7e25",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67c37a,8a005f,...)))}",
"address": "9hFWCA94C78MVPbud3SpX3ywecfyiZBtvziF3HMXx6b75uyyES7",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "577f09bab0ded399dd0c48684b96e75e514e6796a08d5901ded5019f823a7ce9",
"mainChain": true
},
{
"boxId": "6cea6b480dcb33ddd551d5cf5a1d2b84cbd57c4fddd3db10cbf44c03c224c63d",
"transactionId": "1c6c3acd2e43572d49519dfef0dbfad53486d80fbb75a368b79d4f0db19f15ac",
"blockId": "6f7161c862d5935e03ea42d9ff4064c2f5894b84eb7ca6cd73ba7046440cd591",
"value": 2000000,
"index": 2,
"globalIndex": 49551837,
"creationHeight": 1594473,
"settlementHeight": 1594475,
"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": "f122051aa2e7271448152d04aabeda5e8d804f502470fb5463630616578254ff",
"mainChain": true
}
],
"size": 1404,
"isUnconfirmed": false
}