Transaction
ID: c9a2ef8168...902a
Inputs (7)
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:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
14
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 182,827
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001325 ERG
Raw Transaction Data
{
"id": "c9a2ef8168849aacf3c51e0cc3ac170b78418b030d77a75d20b213e44bc0902a",
"blockId": "937bc97f325e5a1cf3f6df6069521f16c65a12bd23d2c0483b87c881badef8b8",
"inclusionHeight": 1579888,
"timestamp": 1753901331718,
"index": 2,
"globalIndex": 9283292,
"numConfirmations": 182827,
"inputs": [
{
"boxId": "6dc589271a5ae02956a8451a9089f132c2b925f7ab2a942fb7163d5f07324aa5",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "59ad5c691bb19c4c97c2eae4593d42d9f10eb37d8b48dcd1e83dbe2aa935e0bd",
"outputTransactionId": "5dc1101cf60e02545a23f36916ba89bf246cb363a745cd5639d595aec6ce34ab",
"outputIndex": 1,
"outputGlobalIndex": 49184231,
"outputCreatedAt": 1579880,
"outputSettledAt": 1579883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,-23,89,35,95,73,-13,25,116,104,94,-9,117,101,-58,-17,30,101,-119,53,125,50,77,-76,119,58,98,51,-26,38,-2,115)\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(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\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": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 1000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b8401bc86e06e507cc93b311ff85321f4d9430b0942f9956d2ad0509bc02dece",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8401bc86e06e507cc93b311ff85321f4d9430b0942f9956d2ad0509bc02dece"
},
"R5": {
"serializedValue": "0e20b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a"
},
"R6": {
"serializedValue": "0e2031317cd282fd86e1ea5ebf3ffbedfc11b81b64ddb3040adb50d3eabae8d5d5e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "31317cd282fd86e1ea5ebf3ffbedfc11b81b64ddb3040adb50d3eabae8d5d5e2"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "2aaff8a40cab593b7346585c54442a4fe6742ed44ae164be20266cccdb6a28d8",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "59ad5c691bb19c4c97c2eae4593d42d9f10eb37d8b48dcd1e83dbe2aa935e0bd",
"outputTransactionId": "6ad9a5897d04eab164c4724e2b6fd0992b4b43ef3c68d6fbc1ac2fd27a1f8074",
"outputIndex": 1,
"outputGlobalIndex": 49184235,
"outputCreatedAt": 1579880,
"outputSettledAt": 1579883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,-23,89,35,95,73,-13,25,116,104,94,-9,117,101,-58,-17,30,101,-119,53,125,50,77,-76,119,58,98,51,-26,38,-2,115)\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(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\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": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 1000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20de4d99b087f4df95c0b53ed0c0af8b49c556c8996e5449ca7392eb4941792815",
"sigmaType": "Coll[SByte]",
"renderedValue": "de4d99b087f4df95c0b53ed0c0af8b49c556c8996e5449ca7392eb4941792815"
},
"R5": {
"serializedValue": "0e20b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a"
},
"R6": {
"serializedValue": "0e2099a2d82cfef294a6b1703b1cf38fe87b5daedbde13d5a8ab408cb5b2d6d497ea",
"sigmaType": "Coll[SByte]",
"renderedValue": "99a2d82cfef294a6b1703b1cf38fe87b5daedbde13d5a8ab408cb5b2d6d497ea"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "d89b752b11d6a9f38749f8d747b55f91faf88f21c4924fe0be3e1d81ef4c4b29",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "59ad5c691bb19c4c97c2eae4593d42d9f10eb37d8b48dcd1e83dbe2aa935e0bd",
"outputTransactionId": "992c78d0576186328da06a5039d735a838cf981fb929092123e141dd1c12c779",
"outputIndex": 1,
"outputGlobalIndex": 49184239,
"outputCreatedAt": 1579880,
"outputSettledAt": 1579883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,-23,89,35,95,73,-13,25,116,104,94,-9,117,101,-58,-17,30,101,-119,53,125,50,77,-76,119,58,98,51,-26,38,-2,115)\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(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\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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"index": 0,
"amount": 1000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4779ecd9e6ab04111b005e8f03b7a05921a5e094131a369d29eaa803121ab559"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ca49d4b0dec86fd589647deaa30ac22bd55c8306d05cf7fd828cad15c531c1fd"
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"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
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{
"boxId": "1011bb0a66fecec763ba95cf1277a251118237bcfa48ce76ba9ebda17407c453",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "59ad5c691bb19c4c97c2eae4593d42d9f10eb37d8b48dcd1e83dbe2aa935e0bd",
"outputTransactionId": "c4494f642c23b4f8efc197172c609272e5ba4c17dd2ef6626573f024dcd0a46a",
"outputIndex": 1,
"outputGlobalIndex": 49184243,
"outputCreatedAt": 1579880,
"outputSettledAt": 1579883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,-23,89,35,95,73,-13,25,116,104,94,-9,117,101,-58,-17,30,101,-119,53,125,50,77,-76,119,58,98,51,-26,38,-2,115)\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(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\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": [
{
"tokenId": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 1000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "06c057f46b6993cd064eab41ebf79b0174f8ae1cab2f3f5166e570b95ade9d85"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a"
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"sigmaType": "Coll[SByte]",
"renderedValue": "dca5373910c56be135f5e9f59bab1938908a0d02daebbb4f4458401c7c3b2715"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
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{
"boxId": "70d4cfc6b831c58e7fa8d9cc7aef4360c7ab3b0b262958766c476434d41b9d33",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "59ad5c691bb19c4c97c2eae4593d42d9f10eb37d8b48dcd1e83dbe2aa935e0bd",
"outputTransactionId": "c79aa70d206da063439ca51b0c3e1943bb66f592492fd55c9f1edf3dc9e1e08f",
"outputIndex": 1,
"outputGlobalIndex": 49184247,
"outputCreatedAt": 1579880,
"outputSettledAt": 1579883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,-23,89,35,95,73,-13,25,116,104,94,-9,117,101,-58,-17,30,101,-119,53,125,50,77,-76,119,58,98,51,-26,38,-2,115)\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(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\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": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 1000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82",
"sigmaType": "Coll[SByte]",
"renderedValue": "77ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82"
},
"R5": {
"serializedValue": "0e20b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63474929946a8cf0b78a574ac6072ac0f858ca5875dbe3a0b3ee10818d8d21a"
},
"R6": {
"serializedValue": "0e2060737b93a687da4515e4b32beff9a62c71391dbfe88b6c3dadd675c556d4af59",
"sigmaType": "Coll[SByte]",
"renderedValue": "60737b93a687da4515e4b32beff9a62c71391dbfe88b6c3dadd675c556d4af59"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "29c136a72e7be99833b0e870fd692b9b12d4586e7fc549a65a29be08c02eaaac",
"value": 2000000,
"index": 5,
"spendingProof": "69c3dff0696d9581124271bd8c626ae1100df452459ccbe3658a2bb36cbf67d507050a831eccbe358b264d70a8c7ab55338cc42e6f3a8179",
"outputBlockId": "fd092369081055a457b2e24c09a493c2b9236bbd2240ba17c21074f1092e0f70",
"outputTransactionId": "b599cee9d6386fc78eff3dc9625a571aa3aaf2a325ad13847be6a23a725d1c0f",
"outputIndex": 3,
"outputGlobalIndex": 47319466,
"outputCreatedAt": 1501971,
"outputSettledAt": 1501974,
"ergoTree": "0008cd02f4506cf8fcacdb63d8cec83242ecffba533cf209ef22c47efef99fdbfffdf3f1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f4506c,dddde7,...)))}",
"address": "9gNfC7X2GCUskgdSZK7iiw9E2jzosybLT6NrKCJxqudqQ38booy",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8e0b6cfe426e364f0381e0cba01cd65194433f0b21ee3ddbeaebbd86c2134f9c",
"value": 2000000,
"index": 6,
"spendingProof": "5bbd38dec59f09c5dffebd428c91cbdf7dd9e119da1655ced455cd07c91218e1ca6ad2c448c7f1583f8df15fe2633b878fc9b025b8f5d22c",
"outputBlockId": "ac00e264f8c9ca55a656f44183da1d652c6682fa67b649061fe2aaa4eb17fc56",
"outputTransactionId": "889890a0309cc3cc4b2b3efedd0c5c60fa94807eb82da46ed177c52f737ec657",
"outputIndex": 3,
"outputGlobalIndex": 45622036,
"outputCreatedAt": 1440065,
"outputSettledAt": 1440068,
"ergoTree": "0008cd02f4506cf8fcacdb63d8cec83242ecffba533cf209ef22c47efef99fdbfffdf3f1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f4506c,dddde7,...)))}",
"address": "9gNfC7X2GCUskgdSZK7iiw9E2jzosybLT6NrKCJxqudqQ38booy",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 14000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6957360e636a4e633d4452b49f182fdd9085eacf03f3e388c4d69a00390192c6",
"value": 1100000,
"index": 0,
"outputBlockId": "2778384714b045ac25db3e97bee736e75e61d4cfe864f4a953ed94fb4b710d49",
"outputTransactionId": "e9263db5490e619f9b8c30712c8d9f2d1ccc987656c79fdae20051ca2988ace3",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
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"index": 1,
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"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "d4e5d729e28095f18e8b516b827e5d9c21ba5827e78b2181685cbd2de617d7d2",
"transactionId": "c9a2ef8168849aacf3c51e0cc3ac170b78418b030d77a75d20b213e44bc0902a",
"blockId": "937bc97f325e5a1cf3f6df6069521f16c65a12bd23d2c0483b87c881badef8b8",
"value": 10000000,
"index": 0,
"globalIndex": 49184595,
"creationHeight": 1579887,
"settlementHeight": 1579888,
"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(-80,14,-17,-45,-25,-25,-4,-62,78,17,-85,54,-86,-26,-125,-73,70,-62,-26,40,-71,57,90,-36,0,53,98,-45,20,11,44,-87)\n10: 1\n11: 0\n12: Coll(-78,12,95,-2,-58,0,-102,-82,-96,-37,-25,-70,-1,-118,-69,-84,-20,115,-9,-91,-54,25,64,-2,-86,13,90,2,105,-88,-57,44)\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": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 5000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201c9a2615d59c6b65c321a8533899f5648baf64add992cfaf4f17436b2b76c15a",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c9a2615d59c6b65c321a8533899f5648baf64add992cfaf4f17436b2b76c15a"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307831383464396235613761326230616339316533626265383462353632633535323338303730323463663734373336616538653536343862326266613338333639,62696e616e6365,6572676f,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,00000000000186a0,000000000000435a,00000000000035e2,307862646138313538356237366134623532393535653638646137376161643433393863316262326433,33366364306666326132653132666439656465353633623037383038363834646265366262346238356365383331623932633233636338333232636137383463,307831356661663433333533633734306532313431643831613666666331623362336562346632303039373631373138313437356461336138663531653465613035,0000000003547f26]"
},
"R6": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "192b2dd081a6ebeac5bb0b47f1cdce2d34f8bcc396c20c62c3006aa33c5bf6d1",
"mainChain": true
},
{
"boxId": "96e8079ea6ec6b970b0e328c3fe3b54fa7452a45a9d3eaef4edd696db76cb7bf",
"transactionId": "c9a2ef8168849aacf3c51e0cc3ac170b78418b030d77a75d20b213e44bc0902a",
"blockId": "937bc97f325e5a1cf3f6df6069521f16c65a12bd23d2c0483b87c881badef8b8",
"value": 2000000,
"index": 1,
"globalIndex": 49184596,
"creationHeight": 1579887,
"settlementHeight": 1579888,
"ergoTree": "0008cd02f4506cf8fcacdb63d8cec83242ecffba533cf209ef22c47efef99fdbfffdf3f1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f4506c,dddde7,...)))}",
"address": "9gNfC7X2GCUskgdSZK7iiw9E2jzosybLT6NrKCJxqudqQ38booy",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 21000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0fa06ad944e76f6b9a49a26a4e40dd73fc3efaa53d879202d61295f59a97aa08",
"mainChain": true
},
{
"boxId": "75792400f9f9419e0ab2a4f7a923386e5a548df618a0c04c2aeee40cb87a09bc",
"transactionId": "c9a2ef8168849aacf3c51e0cc3ac170b78418b030d77a75d20b213e44bc0902a",
"blockId": "937bc97f325e5a1cf3f6df6069521f16c65a12bd23d2c0483b87c881badef8b8",
"value": 2000000,
"index": 2,
"globalIndex": 49184597,
"creationHeight": 1579887,
"settlementHeight": 1579888,
"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": "c21180ca6bfd643850d70480bd26bc5b1a0078e2ef5b8fecb1d4411bd94c4d4b",
"mainChain": true
}
],
"size": 1510,
"isUnconfirmed": false
}