Transaction
ID: a89ddb9afb...1ec0
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:
14
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
14
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
28
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 118,734
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001338 ERG
Raw Transaction Data
{
"id": "a89ddb9afb93acfbf5c0086d5c679b866050ba19be6cb5bb060d6e0e07c61ec0",
"blockId": "2fd1515d590736045bb7f13f819bea1938d8958da9d604767e9c2f5eb0ca0b05",
"inclusionHeight": 1652346,
"timestamp": 1762681870589,
"index": 1,
"globalIndex": 9768940,
"numConfirmations": 118734,
"inputs": [
{
"boxId": "35dc862d6d4653ccbc4974fd189e19de7606b40a50779d64efe24ce216ab127c",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "532cc99c8d4374f3ddf0f67fb281251867dc24b84950b105a76c6486765c0cec",
"outputTransactionId": "286789ea5dc47d6739c528377f0afdb9e3d7a4df78655f2a08b14480661b516f",
"outputIndex": 1,
"outputGlobalIndex": 51451074,
"outputCreatedAt": 1652336,
"outputSettledAt": 1652338,
"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": "0e20c9f6988adc9d70e82343b85e24970a34684c665205663346e4fa6d00e0300725",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9f6988adc9d70e82343b85e24970a34684c665205663346e4fa6d00e0300725"
},
"R5": {
"serializedValue": "0e208d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4"
},
"R6": {
"serializedValue": "0e2034c0f27f6f45c2b781d65cba58aa0759f806360b791e3cdf55fa18160001b7cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "34c0f27f6f45c2b781d65cba58aa0759f806360b791e3cdf55fa18160001b7cc"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "372f5ab3bbf67010c2ef0397dfdc7b12ef36fda896de7521194aba10b5d9f1ae",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "532cc99c8d4374f3ddf0f67fb281251867dc24b84950b105a76c6486765c0cec",
"outputTransactionId": "79a0b70b009a7493203983ca8b7b9575d43476c6f61920ee699d957d757bf274",
"outputIndex": 1,
"outputGlobalIndex": 51451079,
"outputCreatedAt": 1652336,
"outputSettledAt": 1652338,
"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": "0e20eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1"
},
"R5": {
"serializedValue": "0e208d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4"
},
"R6": {
"serializedValue": "0e20174b9940c5371ab4bb0ec2b653a8ddc19d873544bc19302bda9a37e538759406",
"sigmaType": "Coll[SByte]",
"renderedValue": "174b9940c5371ab4bb0ec2b653a8ddc19d873544bc19302bda9a37e538759406"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "f8073629d73fef42b1a96977cf36e60b708b0f86d3f3fcbf4a91e92155e86ebc",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "532cc99c8d4374f3ddf0f67fb281251867dc24b84950b105a76c6486765c0cec",
"outputTransactionId": "c08f53fd6c071fc734683569e9a91b8dbf6292ba8798d66e2ff7963272e90cd8",
"outputIndex": 1,
"outputGlobalIndex": 51451084,
"outputCreatedAt": 1652334,
"outputSettledAt": 1652338,
"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": "0e208d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4"
},
"R6": {
"serializedValue": "0e2046dfb4d7d5527296957fb817a476703159b5bbd084c6c909ea5ee0440e65dafb",
"sigmaType": "Coll[SByte]",
"renderedValue": "46dfb4d7d5527296957fb817a476703159b5bbd084c6c909ea5ee0440e65dafb"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "b18856bfee4241a1de547ff576942fd9505cc5703843353eacfb51faec9dd5f6",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "532cc99c8d4374f3ddf0f67fb281251867dc24b84950b105a76c6486765c0cec",
"outputTransactionId": "de6f6ccb699703dc0213d5c30b0b2a5ea92940729af027d9f408c54da7c55602",
"outputIndex": 1,
"outputGlobalIndex": 51451089,
"outputCreatedAt": 1652336,
"outputSettledAt": 1652338,
"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": "0e208d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4"
},
"R6": {
"serializedValue": "0e2051a44266056ec8b606e4c65f60c04eb6f190fbc1371b44d32aca54c5508e4f24",
"sigmaType": "Coll[SByte]",
"renderedValue": "51a44266056ec8b606e4c65f60c04eb6f190fbc1371b44d32aca54c5508e4f24"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "d11cd3fb8248a7721d823d50643b9f50a0bf9b2d5082932a89e180daf3a96447",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "532cc99c8d4374f3ddf0f67fb281251867dc24b84950b105a76c6486765c0cec",
"outputTransactionId": "e769e29da73c0f9dc319e3bf67385883918454ed117f98dbcfe3fb5c77c02173",
"outputIndex": 1,
"outputGlobalIndex": 51451094,
"outputCreatedAt": 1652336,
"outputSettledAt": 1652338,
"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": "0e208d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d15fd01485103cea6c8dcdae167d0bc09570f0449b9025a385f361face42fd4"
},
"R6": {
"serializedValue": "0e20ba167647ac72099a58e1d48b5074dbfb21bdafa0d968bfbe4c6c382647e0bb66",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba167647ac72099a58e1d48b5074dbfb21bdafa0d968bfbe4c6c382647e0bb66"
},
"R7": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
}
}
},
{
"boxId": "6a2a1a6542663f49a7852367fe510af26b5f65a1102b299e90e45c1fafac366c",
"value": 2000000,
"index": 5,
"spendingProof": "c964e987cc680ccd6a9867026c9b4d632b6d849f9463b8b643d45b80ec21165e41072d2308e903c6784c8ca0da26c9777bb4d06997024824",
"outputBlockId": "e1d530c840d3b232865194ad16193f95be941f32edb65edfaa2103141573ea94",
"outputTransactionId": "4a0f90e4834fc66fdd02b13e8855dfdf3137a0e81388e916e0d7f8dc4f7d9266",
"outputIndex": 3,
"outputGlobalIndex": 47112997,
"outputCreatedAt": 1492767,
"outputSettledAt": 1492770,
"ergoTree": "0008cd022beeb4b3a90ef0da13b0c175f66804bad892457722a439339dbe38f092b45c3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2beeb4,8e239d,...)))}",
"address": "9erQi9v9LWaHbuxoLm9jY3rY7xvkbZPPEjw3FEQ2g5BTwmiyRjx",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 14000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "3aead40cfaaa972a2bb2a67fba8068e47e1cdf02ca5e582ac5f8e69071534b54",
"value": 2000000,
"index": 6,
"spendingProof": "bd352c658a0b886f0f5bdfd1d10d3ea26247d9b0048bb137453cab40ad08e428c00ccfc3b89182a487ebe1951c80805067d312b5b7edae71",
"outputBlockId": "6c3b569d4cf59d5dc8f7df33a9cf543bb6e33f7d9ef08e8b9213af69604ee7a7",
"outputTransactionId": "562402d35eb16c8aa05ea58fe19e8b5fe8bfd62182eff2adfabf6c7f18d9a94a",
"outputIndex": 3,
"outputGlobalIndex": 48060885,
"outputCreatedAt": 1533311,
"outputSettledAt": 1533312,
"ergoTree": "0008cd022beeb4b3a90ef0da13b0c175f66804bad892457722a439339dbe38f092b45c3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2beeb4,8e239d,...)))}",
"address": "9erQi9v9LWaHbuxoLm9jY3rY7xvkbZPPEjw3FEQ2g5BTwmiyRjx",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 14000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ad5659517039fdd14c8dfaab042229aa57184d201ef75ec10dc4e6dec674d68d",
"value": 1100000,
"index": 0,
"outputBlockId": "0957b30e84ae05c0fc8f88334c4ac3a0ecad4faf5f222c4a227382407396ec38",
"outputTransactionId": "a85d5395e7c8b3d4a2de6255e43953299f784f6d16d5809614fbc766b683fef8",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"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": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "e7e6bbfd0a958cd13dcab505a571d6c16e045384243758ce7bd559525d3bd904",
"transactionId": "a89ddb9afb93acfbf5c0086d5c679b866050ba19be6cb5bb060d6e0e07c61ec0",
"blockId": "2fd1515d590736045bb7f13f819bea1938d8958da9d604767e9c2f5eb0ca0b05",
"value": 10000000,
"index": 0,
"globalIndex": 51451320,
"creationHeight": 1652344,
"settlementHeight": 1652346,
"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": "0e20de5fadae6acb7a1f8f27e50c96ea17acef1d7d1f87c36b92c71cf4a96ced47dd",
"sigmaType": "Coll[SByte]",
"renderedValue": "de5fadae6acb7a1f8f27e50c96ea17acef1d7d1f87c36b92c71cf4a96ced47dd"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34303738366664626237613637383538643433383166376565396366363839653963306534333264313034643533373535313861626430343837623964373130,626974636f696e,6572676f,626f783a323033353031646435373363646165336565396336346530373430663665613838323230663561643666633836333462343934316636316262303463363366372e32,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,0000000000000386,00000000000001f5,0000000000000190,627463,62326463656134386361663065373333303931333864363539663665623639643765633837393364656539383936373063373264643466666465376562656233,30303030303030303030303030303030303030306338336563656166653837626131373835633665386663306333633135336630643835313263393431313032,00000000000e14df]"
},
"R6": {
"serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "143e9d5c007af6fc3ee45b6d993dd7e38a12f303879e6c04d7f21e8e82166bb0",
"mainChain": true
},
{
"boxId": "c909407d41efaa32450fc3f58c76b5a448621fa900cbc7c50e2427aec46910f1",
"transactionId": "a89ddb9afb93acfbf5c0086d5c679b866050ba19be6cb5bb060d6e0e07c61ec0",
"blockId": "2fd1515d590736045bb7f13f819bea1938d8958da9d604767e9c2f5eb0ca0b05",
"value": 2000000,
"index": 1,
"globalIndex": 51451321,
"creationHeight": 1652344,
"settlementHeight": 1652346,
"ergoTree": "0008cd022beeb4b3a90ef0da13b0c175f66804bad892457722a439339dbe38f092b45c3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2beeb4,8e239d,...)))}",
"address": "9erQi9v9LWaHbuxoLm9jY3rY7xvkbZPPEjw3FEQ2g5BTwmiyRjx",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 28000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "964acbfef16b10563ee6238ac1ba4081c1d5107ed09da606df02f59150a268a4",
"mainChain": true
},
{
"boxId": "5c07b6fa0de6f302cd4de04df6edee33640e4ee854e68ad8a7923223502b5a48",
"transactionId": "a89ddb9afb93acfbf5c0086d5c679b866050ba19be6cb5bb060d6e0e07c61ec0",
"blockId": "2fd1515d590736045bb7f13f819bea1938d8958da9d604767e9c2f5eb0ca0b05",
"value": 2000000,
"index": 2,
"globalIndex": 51451322,
"creationHeight": 1652344,
"settlementHeight": 1652346,
"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": "e29791f1a580362dd2e9f7453093d58b6803249f87f59116daca2472fb77066c",
"mainChain": true
}
],
"size": 1495,
"isUnconfirmed": false
}