Transaction
ID: 1808c7716b...1fd6
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:
42
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21
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:
63
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 182,764
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001268 ERG
Raw Transaction Data
{
"id": "1808c7716b4c2a9aa4b4e709d06c24f44938d6f4470cae65ca68bf0d107e1fd6",
"blockId": "362c4d642cd93dfa700b613d94a4de90d0c12477142b1682bb12fb6d38a60645",
"inclusionHeight": 1579890,
"timestamp": 1753901735264,
"index": 2,
"globalIndex": 9283332,
"numConfirmations": 182764,
"inputs": [
{
"boxId": "a6c587789954dede1d3e5002d9a20e9e0b797e35a25cc1151e7e494803bf31ee",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fc1d63e73924b8bf730170b2eedee548d7576f3bc71a796e5410e7b4e9fc0012",
"outputTransactionId": "07e578a951f276bd9c9dc2f6d754c4d27ae23c1601936eb55bedf738add0dee5",
"outputIndex": 1,
"outputGlobalIndex": 49184386,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579884,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20118342badfb3831436a9e67db0d80c0444068a07ca15174629d806c41bce5f44",
"sigmaType": "Coll[SByte]",
"renderedValue": "118342badfb3831436a9e67db0d80c0444068a07ca15174629d806c41bce5f44"
},
"R5": {
"serializedValue": "0e2089e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15",
"sigmaType": "Coll[SByte]",
"renderedValue": "89e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15"
},
"R6": {
"serializedValue": "0e208ed71bf15dc5f53d856aa8cacd747b6d37a7591daf35faabf9c3a5aba3dcb20b",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ed71bf15dc5f53d856aa8cacd747b6d37a7591daf35faabf9c3a5aba3dcb20b"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "4f9750c8c03f54401ed10ada6e4e240e78ae95bdf6aee93b36bed4b0ca3e297f",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "97ce1a4c0d3eecf0867c3b663ac1071062ad2e7a771d2dbf4d50edd155b3aaa1",
"outputTransactionId": "258735ffdb8a84bf0757124a83702056be5f150a13969df1d82726777f9af18d",
"outputIndex": 1,
"outputGlobalIndex": 49184401,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579885,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
},
"R5": {
"serializedValue": "0e2089e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15",
"sigmaType": "Coll[SByte]",
"renderedValue": "89e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15"
},
"R6": {
"serializedValue": "0e20e01333dd8eb08a656cb16abc22caa35717f3e7645560d4071ec033e083d324d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "e01333dd8eb08a656cb16abc22caa35717f3e7645560d4071ec033e083d324d0"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "03baf10408afa47c8b3cbcf58afc73a0e4a0fe72027460d97036714cc5c44131",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "97ce1a4c0d3eecf0867c3b663ac1071062ad2e7a771d2dbf4d50edd155b3aaa1",
"outputTransactionId": "079b652bbd72eb5027b08affaa6bc4f5241485049b7e12d1dcd2d27b67c97e95",
"outputIndex": 1,
"outputGlobalIndex": 49184472,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579885,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2098068413376abaefdc212a7721986ab7d450c1977a5e853f496302ea5b398fa7",
"sigmaType": "Coll[SByte]",
"renderedValue": "98068413376abaefdc212a7721986ab7d450c1977a5e853f496302ea5b398fa7"
},
"R5": {
"serializedValue": "0e2089e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15",
"sigmaType": "Coll[SByte]",
"renderedValue": "89e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15"
},
"R6": {
"serializedValue": "0e20d6274d39e5b61589ff00d3354c3f16b3f0061a8c53acaa8316ff26f66a8967f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6274d39e5b61589ff00d3354c3f16b3f0061a8c53acaa8316ff26f66a8967f4"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "0ed906152aefc5318cb9e0e0b36161ec5ead35330e51f2b7bcd372b55757968a",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "97ce1a4c0d3eecf0867c3b663ac1071062ad2e7a771d2dbf4d50edd155b3aaa1",
"outputTransactionId": "59f026fc799997931c9fb2c4aeb12f57c98a90949347940379a6ecb14376b401",
"outputIndex": 1,
"outputGlobalIndex": 49184477,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579885,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e8b5e3f451fc9430fd2c05404e9b4180aa7b755302e723af0cafb15e6dcdceb",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e8b5e3f451fc9430fd2c05404e9b4180aa7b755302e723af0cafb15e6dcdceb"
},
"R5": {
"serializedValue": "0e2089e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15",
"sigmaType": "Coll[SByte]",
"renderedValue": "89e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15"
},
"R6": {
"serializedValue": "0e20b61675357cc547e606bae37d01697ec5040367cd748a18ab6f9596acfb2f7c46",
"sigmaType": "Coll[SByte]",
"renderedValue": "b61675357cc547e606bae37d01697ec5040367cd748a18ab6f9596acfb2f7c46"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "90a7873414f16a42282b187474073fb38bf8f7221d3616da41a6670cf63878ea",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "97ce1a4c0d3eecf0867c3b663ac1071062ad2e7a771d2dbf4d50edd155b3aaa1",
"outputTransactionId": "67e76d66647262e86478081df59fd3a0b29c42976ddc161d73fa04398300d75f",
"outputIndex": 1,
"outputGlobalIndex": 49184482,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579885,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200c5f8b7e4703c7c7eb9cf0da01ea900b409eb328f1c1dd5af8af6ea7a027e3e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c5f8b7e4703c7c7eb9cf0da01ea900b409eb328f1c1dd5af8af6ea7a027e3e6"
},
"R5": {
"serializedValue": "0e2089e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15",
"sigmaType": "Coll[SByte]",
"renderedValue": "89e91ca9cc306fad0079a1386dd7e8c71531409e90e84c445f4a94409de57b15"
},
"R6": {
"serializedValue": "0e2044675c9b2cf8260fbefca45c9a627acb6761a8028b78c36052e72ed12a44649a",
"sigmaType": "Coll[SByte]",
"renderedValue": "44675c9b2cf8260fbefca45c9a627acb6761a8028b78c36052e72ed12a44649a"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "af8a84f6ca59e8a9e1d7d6d8a8ce1ff9503664d75e9d90dc0827b023fa3f57ac",
"value": 2000000,
"index": 5,
"spendingProof": "4c41f3b5106c1aa36ef438446ca3cb3d625647445cb63914fd70fc3c0265d75f1434934cf219619357209791a43e5ac265242524e0a16e36",
"outputBlockId": "a04a8aac4b46f23240d9a41f8b00518df9576d230798c80cf1bba2f83cca7b6b",
"outputTransactionId": "c62eafe79936054573fc69fa26f641bdcbf2cca6b4a0eac94a1b2ad9389325d0",
"outputIndex": 1,
"outputGlobalIndex": 49184692,
"outputCreatedAt": 1579888,
"outputSettledAt": 1579889,
"ergoTree": "0008cd039353a6685780e3a4318ffd7aab95c4e39138072aa02b8fe5947fbaaab7dfaaa5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9353a6,ab79bc,...)))}",
"address": "9hagxPLxKsC72fwJ7dF566WKp9k5zXzfSrz3Vbuk6qG6CnbAz4c",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 42000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0e2fd9c92d39a7f75fdeb2ab09a442f388efb396646137058142d65b92b2e56a",
"value": 2000000,
"index": 6,
"spendingProof": "31cedf77308dcea5feac44a656f4231d82fa6fdd19cfa731a8823a668f2d02b0bd70df88dc9c4d61dced32ecff5232cc3003f9894c257329",
"outputBlockId": "fc1d63e73924b8bf730170b2eedee548d7576f3bc71a796e5410e7b4e9fc0012",
"outputTransactionId": "6d0e680e90124b8bceec565cee91b7ea58807ad758f61aa8eeaeb022a45ca58d",
"outputIndex": 3,
"outputGlobalIndex": 49184276,
"outputCreatedAt": 1579883,
"outputSettledAt": 1579884,
"ergoTree": "0008cd039353a6685780e3a4318ffd7aab95c4e39138072aa02b8fe5947fbaaab7dfaaa5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9353a6,ab79bc,...)))}",
"address": "9hagxPLxKsC72fwJ7dF566WKp9k5zXzfSrz3Vbuk6qG6CnbAz4c",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 21000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "79033fa1651c85c527bc49fb4dfa00b46e3745e1b318b15e7d09513011ce4856",
"value": 1100000,
"index": 0,
"outputBlockId": "10c528e4df4101e1b1abe98ebf98390f452e2bd7e07fd1ba9c1634fd7d52f452",
"outputTransactionId": "cf5dc6aaecdb2215408315feaef8a35a2173d832a64f93bec87f8bae53831a07",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "1c14844d5716ea1220fc6d387915a54e8d2385ebcaa7caecd4d4f424a63d412a",
"value": 1100000,
"index": 1,
"outputBlockId": "28dcd0e4f9c3ce0949b488aab8129381b8acba9e325d34ab8a1f8c15d4498d7a",
"outputTransactionId": "67e1e1b8584b3d73cc823adca2d97485f525bd472de47ca12ee2477779ad51da",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "1cb615d9674e23cc27935ac2c1b902f61ae366111210c8783d2e412cb40d3162",
"transactionId": "1808c7716b4c2a9aa4b4e709d06c24f44938d6f4470cae65ca68bf0d107e1fd6",
"blockId": "362c4d642cd93dfa700b613d94a4de90d0c12477142b1682bb12fb6d38a60645",
"value": 10000000,
"index": 0,
"globalIndex": 49184768,
"creationHeight": 1579888,
"settlementHeight": 1579890,
"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(-44,-58,-15,-70,95,88,88,126,-60,-126,-96,-84,106,-67,76,-19,-119,47,120,-100,-128,-123,67,-4,-36,-39,113,-88,70,-78,66,-62)\n10: 1\n11: 0\n12: Coll(-40,-34,-115,55,67,125,13,-55,105,27,-33,40,-113,115,82,69,24,-3,118,123,44,66,72,118,-15,-63,22,-23,-39,-33,-65,107)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 5000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200325fecaace489450191c0a70bdb883ef84628da0d69665da0cbd2eb89127d4e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0325fecaace489450191c0a70bdb883ef84628da0d69665da0cbd2eb89127d4e"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307839326461343765383339376662363230623635353335313962383131303566383765336538666234663365636161386166313435656562333533373437356361,657468657265756d,63617264616e6f,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,00000000000186a0,000000000000435a,00000000000086b3,307831623333393735346631666630396566393864656166366561316231633261383665336466343061,35376162653432663534393738346338386631346537383837323132376436326663306137626662656430616437643431653565623266622e373237303665343537353633366336393634,307861643736356464613436626334613063363338356164323136356163383431363164353032376332386336653537363462643332333537376564633234663532,00000000015f7787]"
},
"R6": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "752b2728f6d98cf23e89c80bada53a871b0cc05ab0edac8b8afa26d2507cab83",
"mainChain": true
},
{
"boxId": "e878c99313fc2ab5d393b73f02e5735cea46473c77ef533e3aa404b3e0eb88c3",
"transactionId": "1808c7716b4c2a9aa4b4e709d06c24f44938d6f4470cae65ca68bf0d107e1fd6",
"blockId": "362c4d642cd93dfa700b613d94a4de90d0c12477142b1682bb12fb6d38a60645",
"value": 2000000,
"index": 1,
"globalIndex": 49184769,
"creationHeight": 1579888,
"settlementHeight": 1579890,
"ergoTree": "0008cd039353a6685780e3a4318ffd7aab95c4e39138072aa02b8fe5947fbaaab7dfaaa5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9353a6,ab79bc,...)))}",
"address": "9hagxPLxKsC72fwJ7dF566WKp9k5zXzfSrz3Vbuk6qG6CnbAz4c",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 63000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "d89fbd1a1b1f73024b39d208db425e6b14528ab47af286899232edf5314c5e76",
"mainChain": true
},
{
"boxId": "e4970079d92bdf3901f0f11e0d42d67b1e4991b2f148386dadca2d27ca945ade",
"transactionId": "1808c7716b4c2a9aa4b4e709d06c24f44938d6f4470cae65ca68bf0d107e1fd6",
"blockId": "362c4d642cd93dfa700b613d94a4de90d0c12477142b1682bb12fb6d38a60645",
"value": 2000000,
"index": 2,
"globalIndex": 49184770,
"creationHeight": 1579888,
"settlementHeight": 1579890,
"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": "ec05372becc7e773d28ad803d0d6b52ac6efbe20879be0c860c3645257bc3b48",
"mainChain": true
}
],
"size": 1577,
"isUnconfirmed": false
}