Transaction
ID: be1c3bc908...e8d0
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:
0.03 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 194,318
Total coins transferred: 0.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001449 ERG
Raw Transaction Data
{
"id": "be1c3bc908cb464dc57ba0868606a9d2e32388076e449366f449d4ad8eb6e8d0",
"blockId": "31ff7c3609d29b3a04bd583676b9bebff13e3979e29c696274c50d3658d2cbdb",
"inclusionHeight": 1580296,
"timestamp": 1753945282241,
"index": 2,
"globalIndex": 9286664,
"numConfirmations": 194318,
"inputs": [
{
"boxId": "30691cd57757b3facc07763b9bd52620743b8bcbb900095096e4f1c1a0d86187",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "321136b7404f4a958e706fcf97668f8d93524c1efff5b5d52d04efc3bb40688a",
"outputTransactionId": "8ca38b8f9193f8fbe54f7238179cb7331ccb537092d4f3e608d0a56a4a45a847",
"outputIndex": 1,
"outputGlobalIndex": 49196870,
"outputCreatedAt": 1580287,
"outputSettledAt": 1580290,
"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": "0e20212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46",
"sigmaType": "Coll[SByte]",
"renderedValue": "212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46"
},
"R6": {
"serializedValue": "0e20e9a5928446650335cc6eb4a39d4aa2bd19247d8c2d09052d5adb6d2d5417b909",
"sigmaType": "Coll[SByte]",
"renderedValue": "e9a5928446650335cc6eb4a39d4aa2bd19247d8c2d09052d5adb6d2d5417b909"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "7c028310b98eb19b80356ad43a7b0f5225723f771ddb4683c233ce4a1197438c",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "321136b7404f4a958e706fcf97668f8d93524c1efff5b5d52d04efc3bb40688a",
"outputTransactionId": "13a2b46fddbfe5b59a6285a7d27b51cae9deb8d32c421708edb22b8b264364f1",
"outputIndex": 1,
"outputGlobalIndex": 49196889,
"outputCreatedAt": 1580287,
"outputSettledAt": 1580290,
"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": "0e20212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46",
"sigmaType": "Coll[SByte]",
"renderedValue": "212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46"
},
"R6": {
"serializedValue": "0e20590a49b341111497d8ca816c430c3a2c576cad5bc2a8e0a50867bb86bbc17335",
"sigmaType": "Coll[SByte]",
"renderedValue": "590a49b341111497d8ca816c430c3a2c576cad5bc2a8e0a50867bb86bbc17335"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "f4b3c351a29473748a9c595f0404e4a9dd2c652fb4bebe4004b527ae393a5673",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2aaf696981e0120d7416b7aa6b609780b8502337e9154e05bcae0475b351349f",
"outputTransactionId": "14fd25357cb767bd5b6c6961cf381908c2869631e760054468503bdc0952a830",
"outputIndex": 1,
"outputGlobalIndex": 49196897,
"outputCreatedAt": 1580288,
"outputSettledAt": 1580291,
"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": "06c057f46b6993cd064eab41ebf79b0174f8ae1cab2f3f5166e570b95ade9d85"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e412dfa46908177172fae29082edd3eba64561534ea6f3d7aeb110094007bc13"
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"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
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{
"boxId": "009684566a62f16c8653e6ca32e5b892fb432bc47872ee45635e201ebbe0ca62",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "2aaf696981e0120d7416b7aa6b609780b8502337e9154e05bcae0475b351349f",
"outputTransactionId": "a8ecf6ccb5ee5dd5c02dabc006fb7826cdbcd59464f537c2eeaac0da761e48f5",
"outputIndex": 1,
"outputGlobalIndex": 49196902,
"outputCreatedAt": 1580288,
"outputSettledAt": 1580291,
"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": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4779ecd9e6ab04111b005e8f03b7a05921a5e094131a369d29eaa803121ab559"
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"R5": {
"serializedValue": "0e20212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46",
"sigmaType": "Coll[SByte]",
"renderedValue": "212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46"
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"sigmaType": "Coll[SByte]",
"renderedValue": "821e102ce7805989e645134cc581936972c9169bdac3a79aabdcdb17f208ba68"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
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{
"boxId": "3bae0ebb5cd2cbef51fafc758d371afd7ad0b3f9cff18c1edc885ca1a8c29a63",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "c6ccd682fa59a78501f50b8701d0129aa3caa564801ed77cd6713ba3446eebca",
"outputTransactionId": "685bdfe0a3b2027c55d7fe361c3508bdf37913d84a0ddd7119ebbdf36d760ba0",
"outputIndex": 1,
"outputGlobalIndex": 49196958,
"outputCreatedAt": 1580288,
"outputSettledAt": 1580294,
"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": "0e20212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46",
"sigmaType": "Coll[SByte]",
"renderedValue": "212cc4977faac45368a88f5c471ce5b94b7de0a91f2b098fd758cecea2050e46"
},
"R6": {
"serializedValue": "0e2066f6348c9e8de7133118f5cb09c9c41639b6a2a10691ae3bb9942743789b15a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "66f6348c9e8de7133118f5cb09c9c41639b6a2a10691ae3bb9942743789b15a7"
},
"R7": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
}
}
},
{
"boxId": "7f70f358dfd55508aa4b52b5b3f3f7790fe49f8d0989f1f02d58d848ce128f33",
"value": 30000000,
"index": 5,
"spendingProof": "39c93cf9365508f164f4411a047194f42087653d7b9f528a766fda33f7845bc54f2d3b17f00a0a20d1cda93b157c394ce950e0fc7f3af497",
"outputBlockId": "321136b7404f4a958e706fcf97668f8d93524c1efff5b5d52d04efc3bb40688a",
"outputTransactionId": "66e770873ab7785c3740d241712c7f12dccd6ed79f7550d9e455802b1e5d3ac2",
"outputIndex": 2,
"outputGlobalIndex": 49196876,
"outputCreatedAt": 1580287,
"outputSettledAt": 1580290,
"ergoTree": "0008cd036e53e7cda251177c0996146df54d235bda132a1235d1c020400e279ad4a26497",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e53e7,fda547,...)))}",
"address": "9hJPsB5nxuFzuZtWMF5p5SjCcNzrZ34MiKDTuHgcEbbYdzMi4LQ",
"assets": [
{
"tokenId": "de4d99b087f4df95c0b53ed0c0af8b49c556c8996e5449ca7392eb4941792815",
"index": 0,
"amount": 3,
"name": "WID-92815-dzMi4LQ",
"decimals": 0,
"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]"
}
}
},
{
"boxId": "c5529295363dff19bcc630a3adc7d8ec17af7f7ad0cb931fb3ffdb4ec9989deb",
"value": 1100000,
"index": 1,
"outputBlockId": "278b9b45af63f3af37dde2e8025b392d40a1fc43a163fc1aa692d0728ca2d2ec",
"outputTransactionId": "b646522c2a6edcd8340ee66b8d6c3412124f0ae5dd335ab74554cdfcf9e234d4",
"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": "18c0a6903c8cd650ccad14e1ec61f8f7a142074b5be906ee1ee37ee882c68b21",
"transactionId": "be1c3bc908cb464dc57ba0868606a9d2e32388076e449366f449d4ad8eb6e8d0",
"blockId": "31ff7c3609d29b3a04bd583676b9bebff13e3979e29c696274c50d3658d2cbdb",
"value": 10000000,
"index": 0,
"globalIndex": 49197487,
"creationHeight": 1580295,
"settlementHeight": 1580296,
"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": "0e20b53ef7acc24a63d695c13f61fbf3d4c28155ae57407b11482d2ab757c73da3a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "b53ef7acc24a63d695c13f61fbf3d4c28155ae57407b11482d2ab757c73da3a9"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307863333863396136323266653532383432326537663935646334323266346363323033396138303034393332633137333165316465383930616636346561633235,62696e616e6365,6572676f,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,0000000000139e54,00000000000ae62e,000000000008b825,626e62,38326637636563366436383265386130643936356536643933646536366563313839333366373231383163353961356438353830326630666532616663393863,307833313765363337363939666436393366373432356137343133613635663566303263663534616238633937623432373036633839363831306663626435626134,00000000035566f5]"
},
"R6": {
"serializedValue": "0e200f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f8f5b933bef08b4ae2b4155045fc50a3eb08a35c30aa76f05377840bf0041ca"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "75cbb8a5c856025f973a8d2c890f18bc2fe559307c4914357e561ab91560a865",
"mainChain": true
},
{
"boxId": "aa3c5bb594743bcc4280b27e763494a4ece0b77f5125fa862393d777fc57c904",
"transactionId": "be1c3bc908cb464dc57ba0868606a9d2e32388076e449366f449d4ad8eb6e8d0",
"blockId": "31ff7c3609d29b3a04bd583676b9bebff13e3979e29c696274c50d3658d2cbdb",
"value": 28000000,
"index": 1,
"globalIndex": 49197488,
"creationHeight": 1580295,
"settlementHeight": 1580296,
"ergoTree": "0008cd036e53e7cda251177c0996146df54d235bda132a1235d1c020400e279ad4a26497",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e53e7,fda547,...)))}",
"address": "9hJPsB5nxuFzuZtWMF5p5SjCcNzrZ34MiKDTuHgcEbbYdzMi4LQ",
"assets": [
{
"tokenId": "de4d99b087f4df95c0b53ed0c0af8b49c556c8996e5449ca7392eb4941792815",
"index": 0,
"amount": 3,
"name": "WID-92815-dzMi4LQ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "88edfdd635d9420888d86b087b55f0760cb1f338eb256a8408bea3c65b1cd9b2",
"mainChain": true
},
{
"boxId": "0870cd1540a66fb60a63eb50e45aff8f59840c61cefca56c430ec0403eb2a3bd",
"transactionId": "be1c3bc908cb464dc57ba0868606a9d2e32388076e449366f449d4ad8eb6e8d0",
"blockId": "31ff7c3609d29b3a04bd583676b9bebff13e3979e29c696274c50d3658d2cbdb",
"value": 2000000,
"index": 2,
"globalIndex": 49197489,
"creationHeight": 1580295,
"settlementHeight": 1580296,
"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": "97fbb1a3afe2bca8b67ce0676c2bf27693bdeaa66444df91d58a769f6736b4a8",
"mainChain": true
}
],
"size": 1380,
"isUnconfirmed": false
}