Transaction
ID: 0162a10920...2ffe
Inputs (11)
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:
0.00006 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
4,104.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
410.30
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
410.30
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
119.13
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Unspent
Address:
Settlement height:
Value:
0.01021 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 31,187
Total coins transferred: 0.02221 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001024 ERG
Raw Transaction Data
{
"id": "0162a1092079b92691610799653f80e73bb0a7af446256e293d227b9c2f42ffe",
"blockId": "3d55963179c4933ca48e564e378763c2067c2c86834c8a98eb193f295b5ffea7",
"inclusionHeight": 1738265,
"timestamp": 1773069590388,
"index": 1,
"globalIndex": 10421219,
"numConfirmations": 31187,
"inputs": [
{
"boxId": "be1292b71c5a3e556ab603f3fcdfe38c586910ac1e6e712362cbeff988ec0d5c",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1499e33e0d63d33c5c716368ae5c443a7cbe3d5b7c89b275197c983e5b1bae43",
"outputTransactionId": "2026b3efda7d421a402fe9348e4df3099082fb4d4e484cdb977ba87770ce376d",
"outputIndex": 1,
"outputGlobalIndex": 54041169,
"outputCreatedAt": 1738257,
"outputSettledAt": 1738258,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\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(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\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": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205f0666c8476e83b67d50bb4142c45b51487583507c07428acb4770837af5cee9",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f0666c8476e83b67d50bb4142c45b51487583507c07428acb4770837af5cee9"
},
"R5": {
"serializedValue": "0e20ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b"
},
"R6": {
"serializedValue": "0e20fcd5cbe13b2bef5ccc7fd674aaca7ef14574c2011a112ff96d30919e46a23554",
"sigmaType": "Coll[SByte]",
"renderedValue": "fcd5cbe13b2bef5ccc7fd674aaca7ef14574c2011a112ff96d30919e46a23554"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "055b4211a23f2c78c041f06782411a307fee6d8fd1b5a85e1421c5fd86ff62f1",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "2d87a6a77027d519c0b7ba118f8afd2d10bd11369f3be7fb0ecb15a5d2c49a1f",
"outputTransactionId": "cae552e37a6027786907b1c0f0b2377e2bf6e5e17b869455573bb29717905db6",
"outputIndex": 1,
"outputGlobalIndex": 54041184,
"outputCreatedAt": 1738257,
"outputSettledAt": 1738259,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\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(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\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": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207f07a7703690dd8960280c966a3a72bb30390d13f4dc125af66152d0156afa50",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f07a7703690dd8960280c966a3a72bb30390d13f4dc125af66152d0156afa50"
},
"R5": {
"serializedValue": "0e20ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b"
},
"R6": {
"serializedValue": "0e20c06c9b3533f0fe52c91303538477825c6cf62159c244be3d8caa8cb4ab6eb81b",
"sigmaType": "Coll[SByte]",
"renderedValue": "c06c9b3533f0fe52c91303538477825c6cf62159c244be3d8caa8cb4ab6eb81b"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "b6d82158d84b42c92616c33ff48772e4709f18f2f1617cd6a02c9d32177d8d57",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "da2a0b0840dca3c3ccc84b770abbe97a66db25b5ba35bbef8915ef686dbe3204",
"outputTransactionId": "633c4af8667b18f88225b5ff322fd30ca7dd50b770d2364398b924e0bbe180ec",
"outputIndex": 1,
"outputGlobalIndex": 54041194,
"outputCreatedAt": 1738257,
"outputSettledAt": 1738261,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\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(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\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": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2085e66111430a2211b5417bb9de464d0197744067ca2b9cd219b5c6270c217707",
"sigmaType": "Coll[SByte]",
"renderedValue": "85e66111430a2211b5417bb9de464d0197744067ca2b9cd219b5c6270c217707"
},
"R5": {
"serializedValue": "0e20ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b"
},
"R6": {
"serializedValue": "0e204df094e56dc22617db451962a869e2d24755680491d5aa5d2ce31ce140662aec",
"sigmaType": "Coll[SByte]",
"renderedValue": "4df094e56dc22617db451962a869e2d24755680491d5aa5d2ce31ce140662aec"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "8d79e328a8032bfca5aa89c6cd243dcd91a5843f5a623bc6bbea34bd6a752099",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "da2a0b0840dca3c3ccc84b770abbe97a66db25b5ba35bbef8915ef686dbe3204",
"outputTransactionId": "bd0f98d908786a57300b012141da4021232d3c7cd90eb230784c8166ac4a0861",
"outputIndex": 1,
"outputGlobalIndex": 54041199,
"outputCreatedAt": 1738257,
"outputSettledAt": 1738261,
"ergoTree": "102404000e20b5374a75e619c4fe61cb140c53893abd5e6f4b323c516c9522f5747d02e4d0ab040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2084970c2c0ec7b3bf9844647e3a57930356dc798e101b628931d2a01f689b8b6e04000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\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(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\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": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1"
},
"R5": {
"serializedValue": "0e20ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b"
},
"R6": {
"serializedValue": "0e20550c6264fe776b8b6ff67031ce4bf06069c0a72a664afbd1055d10891d7991d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "550c6264fe776b8b6ff67031ce4bf06069c0a72a664afbd1055d10891d7991d7"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "b6b9512f0e7093526addc45e44ad95746570a9fb4e46fb4b6a34c742280fcdb0",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "da2a0b0840dca3c3ccc84b770abbe97a66db25b5ba35bbef8915ef686dbe3204",
"outputTransactionId": "c8368fbb9c052dfcb64f7e94b27d57cf3ad2dea734ce1bfce911dd78678f9815",
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"outputGlobalIndex": 54041229,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\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(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\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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"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "c9f6988adc9d70e82343b85e24970a34684c665205663346e4fa6d00e0300725"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "ebbb539bbf92588df8a9f7714e3032b1311b6b11e34e38aed234410f6601426b"
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"sigmaType": "Coll[SByte]",
"renderedValue": "c834292117c108f0196bf90ac25942e3267737e6db728fbaa8edaf3f33a81515"
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"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
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{
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"outputGlobalIndex": 49950209,
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"ergoTree": "0008cd022beeb4b3a90ef0da13b0c175f66804bad892457722a439339dbe38f092b45c3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2beeb4,8e239d,...)))}",
"address": "9erQi9v9LWaHbuxoLm9jY3rY7xvkbZPPEjw3FEQ2g5BTwmiyRjx",
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}
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{
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{
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{
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{
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"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "5da36349656adb66c2cffe79a58a5ef46c4886456d86e2689a0162aa5f110f5b",
"value": 1100000,
"index": 1,
"outputBlockId": "7cc6db9c887c17f99575272cc04dce21f9c8d2132e4fdbc2e6d0bc22f36e4187",
"outputTransactionId": "61b69a3389b3692af383e5023b902c647b48e95e516b5f4a305d0a02868ca8b4",
"outputIndex": 0,
"ergoTree": "1026040004000e2084970c2c0ec7b3bf9844647e3a57930356dc798e101b628931d2a01f689b8b6e010104020402040604060404040404000404040204000e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e0502040604000400040a0502050604000e20abe839d0c874376d8317381ea98a0b9f21a6f3e0fdeb12aa69236ea43c48fbba04080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "abb214dbf4f93ec82968225611dea9eb7cf329c767007d838077572e1d69c2bd",
"transactionId": "0162a1092079b92691610799653f80e73bb0a7af446256e293d227b9c2f42ffe",
"blockId": "3d55963179c4933ca48e564e378763c2067c2c86834c8a98eb193f295b5ffea7",
"value": 10000000,
"index": 0,
"globalIndex": 54041565,
"creationHeight": 1738263,
"settlementHeight": 1738265,
"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(-25,124,104,-103,-125,126,-52,109,-110,-11,-30,-44,-126,-26,70,53,67,-76,116,-1,35,-50,13,-32,45,120,-33,-46,26,43,17,-67)\n10: 1\n11: 0\n12: Coll(102,114,-19,84,-126,-43,-95,-78,69,74,27,110,87,-101,-128,-127,-18,112,-10,-47,53,52,-117,16,-33,87,65,-113,43,-92,118,80)\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": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
"index": 0,
"amount": 5000,
"name": "RosenBitcoinRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20265b2c53c7b2e011b152bd49e34dc0e5d05ea57403385381132f0b3080a9177e",
"sigmaType": "Coll[SByte]",
"renderedValue": "265b2c53c7b2e011b152bd49e34dc0e5d05ea57403385381132f0b3080a9177e"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34666439306433383166643465326236306537343235613039356433646465393666333833303730393563306162393833333337656663383661393330313765,626974636f696e,6572676f,626f783a323238666438623934363534633163313033623031383262383963306334653435646131313261633462633434383137383034613163383565613831383966362e32,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,0000000000000386,00000000000001f5,0000000000000190,627463,62326463656134386361663065373333303931333864363539663665623639643765633837393364656539383936373063373264643466666465376562656233,30303030303030303030303030303030303030303036353336323230343333613337336232363338366233663165386237346561353134326635636336643030,00000000000e57e6]"
},
"R6": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "230b77b1df4ed20d041eaefadaf75ca0eb1651c1461e7d85c598bf35d80ac47f",
"mainChain": true
},
{
"boxId": "322c6f2141a0803df840388afa0fef38f55d5af75690391770fa9fe3b290f562",
"transactionId": "0162a1092079b92691610799653f80e73bb0a7af446256e293d227b9c2f42ffe",
"blockId": "3d55963179c4933ca48e564e378763c2067c2c86834c8a98eb193f295b5ffea7",
"value": 10210000,
"index": 1,
"globalIndex": 54041566,
"creationHeight": 1738263,
"settlementHeight": 1738265,
"ergoTree": "0008cd022beeb4b3a90ef0da13b0c175f66804bad892457722a439339dbe38f092b45c3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2beeb4,8e239d,...)))}",
"address": "9erQi9v9LWaHbuxoLm9jY3rY7xvkbZPPEjw3FEQ2g5BTwmiyRjx",
"assets": [
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 0,
"amount": 41145,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 1,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 2,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 3,
"amount": 119126,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f86424e7cfe59410da1c35d214d87b28775de229bdfa8dffbec293b35bc58328",
"transactionId": "0162a1092079b92691610799653f80e73bb0a7af446256e293d227b9c2f42ffe",
"blockId": "3d55963179c4933ca48e564e378763c2067c2c86834c8a98eb193f295b5ffea7",
"value": 2000000,
"index": 2,
"globalIndex": 54041567,
"creationHeight": 1738263,
"settlementHeight": 1738265,
"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": "6c812d3a1c41d4b00847f28fd0b42137916d1925e804569dd7654e25b7c6f3c5",
"mainChain": true
}
],
"size": 1954,
"isUnconfirmed": false
}