Transaction
ID: 245a3a2e4d...5747
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
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:
17.22
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
400
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
417.22
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 404,992
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001207 ERG
Raw Transaction Data
{
"id": "245a3a2e4dc7ea362031df2996c8f722774498293786b7c1a682efecc97a5747",
"blockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"inclusionHeight": 1359028,
"timestamp": 1727173067246,
"index": 11,
"globalIndex": 7827815,
"numConfirmations": 404992,
"inputs": [
{
"boxId": "701dd0bb6f1dc86de82a1881b3473c3e8f45a1d1921ddd37c031ea1a28ff71d9",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "1e8b50f75e1e8b45f5f55c7d9f5f5f4517b6ea0b6b6f0dd26e1a178edb347069",
"outputIndex": 1,
"outputGlobalIndex": 42882717,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "102404000e20d2f1041f71c2499e5631e774f9f7e394a3ee1a9236a70c5b9cd5db6cd458d61c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c4c9b9e27b120d4dc92b177f25583064ca123a90ab8a6fbdd9f389c70e427cda04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20baf38a166ccff99b39d6fdb39a9dc1b322b8f2765628066c04bc50ed2cd6138f",
"sigmaType": "Coll[SByte]",
"renderedValue": "baf38a166ccff99b39d6fdb39a9dc1b322b8f2765628066c04bc50ed2cd6138f"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e20375f701ef3f0e8c75a644e0cc62747beb2ac772fd507f4ae6776ac68ee18004d",
"sigmaType": "Coll[SByte]",
"renderedValue": "375f701ef3f0e8c75a644e0cc62747beb2ac772fd507f4ae6776ac68ee18004d"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "20b94ca7f476d3a2d05dcc5c84f9de646948bb03db8e29ea3b2ece92d1d4d2ca",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "4dafc77aa0c477083adf1faf343951723c0bc553c9b948ddb250c91552284b85",
"outputIndex": 1,
"outputGlobalIndex": 42882721,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2040849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "40849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e206b4bb88458071ae724ddfad2fd17d9450d33cb68eefa337369a4478e04562f61",
"sigmaType": "Coll[SByte]",
"renderedValue": "6b4bb88458071ae724ddfad2fd17d9450d33cb68eefa337369a4478e04562f61"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "c2aae71fee0d2b36af4fcc943fa4fcf6c49df85d4c46e09dda92329013db0b0e",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "6fe5b7569f6850a6c43fa7b665bf70703122a7b873b01551eb96411a958d424d",
"outputIndex": 1,
"outputGlobalIndex": 42882725,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20eeec55d3ea5f4450fd97259fa0efbd4408e430f48cd50881aac96f74f84d2548",
"sigmaType": "Coll[SByte]",
"renderedValue": "eeec55d3ea5f4450fd97259fa0efbd4408e430f48cd50881aac96f74f84d2548"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e20c300937f6ef7b575bf62d12b20acbf9e3159608fdf533aeb3bdba55a69d119b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c300937f6ef7b575bf62d12b20acbf9e3159608fdf533aeb3bdba55a69d119b2"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "1647898832f52d8f371eb0c4461664ed77646af05c7966c69eeebdc222c6526b",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "8fdb50a0981531830c5f9c58958e9b7cf67f7c1497e5d815192f3a1e3dddc4d5",
"outputIndex": 1,
"outputGlobalIndex": 42882729,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2057c9fbdb9ea63eed7f535ac9eb3b07e199aad804f86f77c44d674fa47dc79ae3",
"sigmaType": "Coll[SByte]",
"renderedValue": "57c9fbdb9ea63eed7f535ac9eb3b07e199aad804f86f77c44d674fa47dc79ae3"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e20fb7fce98857b8d3f057e21df0d908e0f20a4fd6b3393ca92c492327b179abe64",
"sigmaType": "Coll[SByte]",
"renderedValue": "fb7fce98857b8d3f057e21df0d908e0f20a4fd6b3393ca92c492327b179abe64"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "a06ca114806e13319b56e47b5f1f423bead79dc6c3b1817825a0473a0ecf9214",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "91f98b3ce767e8028cbfcb048bba2d8d58634422d8b21ce504ba63bb92fd74e1",
"outputIndex": 1,
"outputGlobalIndex": 42882733,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e9f94e6648287b9e1c89f2ceb9b15ed158b8544366f6846941fde692dd3d6d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e9f94e6648287b9e1c89f2ceb9b15ed158b8544366f6846941fde692dd3d6d7"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e201b1acef753fb0038eaa2739f612c6ee8e4ade44edd0c0a85202063f11e76ae17",
"sigmaType": "Coll[SByte]",
"renderedValue": "1b1acef753fb0038eaa2739f612c6ee8e4ade44edd0c0a85202063f11e76ae17"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "3147e2b673a570a2c3f1361a488639eb3f8c9f5695c3d4865514039dc4e727a6",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "aa5c28866b9960d0bf23b17e4b363e5a1a40b26008288c6f77533f0f1511bb37",
"outputIndex": 1,
"outputGlobalIndex": 42882737,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2099e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e",
"sigmaType": "Coll[SByte]",
"renderedValue": "99e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e20831d11ef09b07a2b69f446b85aeca9cd0d8e0fe9c75dbe60c71f6bdc759e9127",
"sigmaType": "Coll[SByte]",
"renderedValue": "831d11ef09b07a2b69f446b85aeca9cd0d8e0fe9c75dbe60c71f6bdc759e9127"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "57b8fc7a06c69e0928ec7df39b1ec6de5d53fc0763e5aceb051b6129dc8fefcb",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "b1aa433c189cd8971b3b1d0d8920899f17f7abea77f00d8357665aec8aa3ab50",
"outputIndex": 1,
"outputGlobalIndex": 42882741,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "5ivrmzxYZzmR13d1WWB45BzRjcHjxnYfJ3yZxejSiEREDw5jwgUdmuXfH4RoopXmodDgW4o82TejgXYixn6Y2bUd18G75y8W7VqrsQ5BRqdxZtFgXQWFdnFRB9xxNc9tFxsdtHCLKKTsTq6eNnmFp16UrNdfYkd7sDfWWNwUwweLUMXHhjLZvDdQpKVWyPK8Pw4L1MBNcmzsNgc3TDtdeJPiP4YKVqjFdACMb6iXc9LYkKUReKgbAuedn87B1ppppMX6LFEDFkR8nP8c5dt687TqZFm3UvbXC4eWSzd6AKxL1uc4ejgarikDfn5VAvTTarkL3HFz7m7QVRKBkSrG7fDLwFKVDD8j6nVzqjD6biVzE4xqYtjbedKU5g39XCGhTxnRoSKAH9ZeWunQBdqwexcKZiXtFrYXDrs5Pt3akT2peVydhZwUe5Bnb7eqjQQjTC3xwVcVM8rReJATLz1ouRpXuwRgfY6S6g6TPASJTuaQJ57KbYY9yzQMJ8XmZ6LwepAtbUhGBS4Q9UUVyt13y5WqnkqryuK1X9c5HJS7b6PxCFBxgoKC2pz3yKfepFXhA2r6PPzePJLTJwR2QawRtQrW6GTvia5wu2yjpsYQCM5jqWMDuEhkHxRcShRZkaP7cFmsArVPmfrjKWPh6mgijH8vs9ajjsMCWKRdbKYjtMVvVG29RDW6tt1FuqWeQwZzKa7uPMcKNZJfxsVDzXtzNXRfn1A4HDCZcWwfqjuETcoj8pwHZpqPchWsHJbP2JssiMGrDVpNdG45bS2FsfJt8p1dE9XuW1qxmY2YioDksC7YP2KXfibDVMEg83zAbRJiKtfSRGpm94j4narU2r8fA1nKopfxBpaduQoUZEzVDhACtKzUVtBMoDEgTNAP2xxF1sFuAsdKY46hcoSKVe3h1BRa8j33DW5gSXwk3p4MaR1MrH2S218YivDkQrs8X1z7rYsLbTLL1jqYUHb3uAvy6tsb4AuZ7QLp3WPtERuHaLTNm54vvy9yEjLE6AKyUjzQ3ZN6iCz78kJgd3vgDErF2eESPf36fxHMb5GFUNaP8kzEPmrmmWc6JqMzkAVTx8hQ27656iH5FVS2g7dxZH3y2A9SkFygWJiptfp5wydKPyMBqUj2oK8zE6keR65j2wtnhncPEwy3KGCyc1CKv1Ko6hh6bMuxw9Esg6hGhGxhMwt7oCAPDaBp8PuWRbdJ2wgpRYUgmNDLJNiiCvUxnrePy9nbPgK11a5TH69QWXty6sZTH9i6osfR2beMkpXa7n123ZQYkNWrG7EjmNhcBNukR",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e2031bc9e68a833466c99fc7091b18f03c294bb3136e6771d3b8734aa2565f98d8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "31bc9e68a833466c99fc7091b18f03c294bb3136e6771d3b8734aa2565f98d8f"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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}
},
{
"boxId": "f5e75c390393799b08b6db45b5b36612436b80c61f7283dc2a9a7561933678e1",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "df2dac39e112aa442cb77715c8bae4317d139b4c594e1d6f683218a20d831a17",
"outputIndex": 1,
"outputGlobalIndex": 42882745,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2011fdb2ef35b0e2eeea9e23400148976daae38fac8fb31294cd32682b250dfd72",
"sigmaType": "Coll[SByte]",
"renderedValue": "11fdb2ef35b0e2eeea9e23400148976daae38fac8fb31294cd32682b250dfd72"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
},
"R6": {
"serializedValue": "0e201bd8b84fc23889220aba5ddc7a1b6730645f099653ff473c61d53c62ba38231b",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bd8b84fc23889220aba5ddc7a1b6730645f099653ff473c61d53c62ba38231b"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "fb6a053e6163a6d8747d482c1ba71049bff5cf91c15b064a6f0069d1ec12aa11",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "e3c3c7cfe837ff59963f74e55387d3734e95e26b907f9b6ae649b3d16107d2ab",
"outputIndex": 1,
"outputGlobalIndex": 42882749,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2079e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca",
"sigmaType": "Coll[SByte]",
"renderedValue": "79e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca"
},
"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
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"R6": {
"serializedValue": "0e20534e458c0b9eea8e22c7d772779e895a709e889e299a17aa320871a2d7b7afd5",
"sigmaType": "Coll[SByte]",
"renderedValue": "534e458c0b9eea8e22c7d772779e895a709e889e299a17aa320871a2d7b7afd5"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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},
{
"boxId": "47d583b6763d992887247193b839690938ebcfff81fc057f3d873046b8c93957",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "6136a12164c5f727aa050e15299cfb7a463c05c36709209709ed9630ab0cdaa6",
"outputTransactionId": "f12ab4faaab38a3ace7493feb59ea0b22723a7aed549530df25d453efa842136",
"outputIndex": 1,
"outputGlobalIndex": 42882753,
"outputCreatedAt": 1359019,
"outputSettledAt": 1359021,
"ergoTree": "102404000e20d2f1041f71c2499e5631e774f9f7e394a3ee1a9236a70c5b9cd5db6cd458d61c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c4c9b9e27b120d4dc92b177f25583064ca123a90ab8a6fbdd9f389c70e427cda04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\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(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "cf71bd6c6fb35f4f92abdcb206d965fd203f623b39ca53d18f7064750c958e10"
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"R5": {
"serializedValue": "0e20c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32e2ecd384210377551f884499db62fbfab1ec86168750d50b920ccadd5b046"
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"R6": {
"serializedValue": "0e20e91f4085218181f244b313d94e09eadeaa2ca43bede2153cab3dcf4af1cb4738",
"sigmaType": "Coll[SByte]",
"renderedValue": "e91f4085218181f244b313d94e09eadeaa2ca43bede2153cab3dcf4af1cb4738"
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"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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{
"boxId": "17da49fa5d8e5640cf0c66e59e74a8550f22aeb3b0abb0aefe021b373a7d9222",
"value": 2000000,
"index": 10,
"spendingProof": "30969bbeb6343e2c29157f8b7919249dd708dbedec7e153cc0ef8f6715694b9da31e358cbd47dde67eb2bfb4ea55480b5862ea13a718bb16",
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "6bd27f35bab23eae5c444955b4b1a9337673230008ebe6364d674c936afc636e",
"outputIndex": 1,
"outputGlobalIndex": 42883065,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"ergoTree": "0008cd023760c03f9e1aba48d634b12d122b30e3fd494f2badd908067993400c41dd6d6b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3760c0,442450,...)))}",
"address": "9ewT51mc8RQ6sisX62EC14ToC7qTSd6mHCtGt4jPVfgcApANRKe",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 17216,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "078bbe5012cfea11e7e16f7c87f4949420c39cef26a7dc48349499320be87f5f",
"value": 2000000,
"index": 11,
"spendingProof": "9a94fb74fa1b9915a89f94fe6a10ad150d6b528bf758638dcf31ba8db7b7aa55bbfa085fa3e69cec869ed8dd56d95b9b70786134ce46c54b",
"outputBlockId": "0ec364ed4c80108947d5e1d677a3624d234a994432ccb44510cfe33edecb9dcb",
"outputTransactionId": "56bd58b39166e8326aaa2f9dbd9042fcda86be35b6a5faeaebc647d9b0057006",
"outputIndex": 3,
"outputGlobalIndex": 42749684,
"outputCreatedAt": 1353447,
"outputSettledAt": 1353451,
"ergoTree": "0008cd023760c03f9e1aba48d634b12d122b30e3fd494f2badd908067993400c41dd6d6b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3760c0,442450,...)))}",
"address": "9ewT51mc8RQ6sisX62EC14ToC7qTSd6mHCtGt4jPVfgcApANRKe",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 400000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "705d71a96b1f315eaa913eb0750405d02af43cca1bd193eec410e54409642804",
"value": 1100000,
"index": 0,
"outputBlockId": "b09837b03de0336e7b7c546288e3ec8412d91bfab2b9074214be84348b126cbf",
"outputTransactionId": "94d74e3296f012c91ff852f20e45b54078b54f9d0d628df9d79a9f9268703e02",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "0466909a9dd33a30e1aa8dac8c83187e38d56cb51efbc4859a8efb6d2d039ac1",
"value": 1100000,
"index": 1,
"outputBlockId": "8993c4335193145db66ddc10fa371428dd0eb851374232d6a777ec10cdd8e81b",
"outputTransactionId": "8e39b8ebf789a6c438f589ea10254f8e1820687ee2bed42d34a4ed0180862cc2",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "490c625e0aecb754fae2b201661a71240b0e7a830ca5690693515e84e1392a0a",
"transactionId": "245a3a2e4dc7ea362031df2996c8f722774498293786b7c1a682efecc97a5747",
"blockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"value": 20000000,
"index": 0,
"globalIndex": 42883067,
"creationHeight": 1359026,
"settlementHeight": 1359028,
"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(81,126,-32,-119,117,-77,-71,83,67,-98,49,31,-7,108,57,-105,-66,-52,2,-15,-30,40,57,12,120,-19,-97,-29,89,-5,-56,100)\n10: 1\n11: 0\n12: Coll(37,-30,-84,-96,74,12,31,-34,23,16,102,70,-122,68,-25,16,-33,-2,-100,-33,-50,72,-80,28,64,-115,-43,35,-123,-33,45,20)\n13: 10\n14: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"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": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 10000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207ca951eef689cf37ed2ecd3f5aff3fc470e7bcc9f507ba6ca5a1f4bf205af94a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ca951eef689cf37ed2ecd3f5aff3fc470e7bcc9f507ba6ca5a1f4bf205af94a"
},
"R5": {
"serializedValue": "1a0c4230786139356631643732623736666162636535366633616334316333616665323630336161303536393131396261363562303763623431313339386435393432346408657468657265756d046572676f2a30786437313232613531623664376237613738656461383739313333316661343437653764636264373433396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a7044630800000000000007d208000000000000059508000000000000023c2a3078303334373631386330656563396537613635643837653136313637336437376236313731663331664039386263383133643737623862393338666464623038663735633563363836666665333863663164393961383837663931343033636336663063356337366266423078656439303061333738653939373563383835343038613435376438313939666562633339303964616337623231313134353065393632623830373839636130640800000000013daea3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307861393566316437326237366661626365353666336163343163336166653236303361613035363931313962613635623037636234313133393864353934323464,657468657265756d,6572676f,307864373132326135316236643762376137386564613837393133333166613434376537646362643734,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,00000000000007d2,0000000000000595,000000000000023c,307830333437363138633065656339653761363564383765313631363733643737623631373166333166,39386263383133643737623862393338666464623038663735633563363836666665333863663164393961383837663931343033636336663063356337366266,307865643930306133373865393937356338383534303861343537643831393966656263333930396461633762323131313435306539363262383037383963613064,00000000013daea3]"
},
"R6": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "29f630ee366ca579818cf1d9c436c831f07fdb3cc7ae35bd9eaccfa3bfabaf15",
"mainChain": true
},
{
"boxId": "4efcf86113c6f9104bcf89e8a6e2225cb64d326c7dd1b43a0cc1db6d19c8dceb",
"transactionId": "245a3a2e4dc7ea362031df2996c8f722774498293786b7c1a682efecc97a5747",
"blockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"value": 2000000,
"index": 1,
"globalIndex": 42883068,
"creationHeight": 1359026,
"settlementHeight": 1359028,
"ergoTree": "0008cd023760c03f9e1aba48d634b12d122b30e3fd494f2badd908067993400c41dd6d6b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3760c0,442450,...)))}",
"address": "9ewT51mc8RQ6sisX62EC14ToC7qTSd6mHCtGt4jPVfgcApANRKe",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 417216,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b65916063e3815dd6c3c779b053c95503c89a13e62e7dd27b80e3d32e2823c7f",
"mainChain": true
},
{
"boxId": "0d61209b72f1e0e1c9a8b443ba714325bd720bbd130ed0a49cc46f3897dc1fbb",
"transactionId": "245a3a2e4dc7ea362031df2996c8f722774498293786b7c1a682efecc97a5747",
"blockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"value": 2000000,
"index": 2,
"globalIndex": 42883069,
"creationHeight": 1359026,
"settlementHeight": 1359028,
"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": "cbded78d931c37e04c0e25049a9101b42d3ebdd46c60f4648d741c083b32e9d1",
"mainChain": true
}
],
"size": 1657,
"isUnconfirmed": false
}