Transaction
ID: 9d19cad2e8...46db
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
0
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 473,184
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001171 ERG
Raw Transaction Data
{
"id": "9d19cad2e8f52600bcdbd3638cd2922090dd9d3e8023b3c4ea0d3fda3d2746db",
"blockId": "b04d0b6476e26ce52f2910c45b33e1412a652b8d03616485a4f1cb8f41909f7e",
"inclusionHeight": 1297001,
"timestamp": 1719655577513,
"index": 4,
"globalIndex": 7414926,
"numConfirmations": 473184,
"inputs": [
{
"boxId": "2f62b1991918b7eefa642059237e47fc5f1c7310fa4e35d0bb659a275610f8e6",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "35e1fca649cf1438518061342be7184fff9cc2eaedc8afbe42de14c9bd4fd4b5",
"outputIndex": 1,
"outputGlobalIndex": 41127744,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206d775cf49a79e862a605e8ec644fcd44a56e5c5f8333e732c7184f89aba796b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d775cf49a79e862a605e8ec644fcd44a56e5c5f8333e732c7184f89aba796b1"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e20078c0ce302b5905c9cc21dafd00d2e6c155afd4c0bca85c3005697cecbc1a527",
"sigmaType": "Coll[SByte]",
"renderedValue": "078c0ce302b5905c9cc21dafd00d2e6c155afd4c0bca85c3005697cecbc1a527"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "32e604c7a36934b0c3ba2c097e42859f8e335e862164c0c00eba89b9372cb43f",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "494f437e0832de40316e418e7fd07b1a72e03c7d63d85b1068386284e7de7cfe",
"outputIndex": 1,
"outputGlobalIndex": 41127749,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2008fead7bee80a7c8230a906d6ca8a878626989c8a6e1922fec4588c3b7ba8e91",
"sigmaType": "Coll[SByte]",
"renderedValue": "08fead7bee80a7c8230a906d6ca8a878626989c8a6e1922fec4588c3b7ba8e91"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e20c7ee70a94b99dca81950f7b91669675985968e43d0f65677be8a8f8cd2aedd27",
"sigmaType": "Coll[SByte]",
"renderedValue": "c7ee70a94b99dca81950f7b91669675985968e43d0f65677be8a8f8cd2aedd27"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "5d087a0ddbf15a035212f209a757d60aee7415d9a1597d24d7526e9203046530",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "5df42f1c1b5669902251848376893ae83a1b5763821a8672bf58634cf7265e1b",
"outputIndex": 1,
"outputGlobalIndex": 41127754,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f5c1469d6a11c67cb0cb3a62761a720cf0b94361751ce38bc2b8c8f592ee5571",
"sigmaType": "Coll[SByte]",
"renderedValue": "f5c1469d6a11c67cb0cb3a62761a720cf0b94361751ce38bc2b8c8f592ee5571"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e20a43e82fe4392fd2edf4c570483784a8b4793e8549fdff4c411352b3d2e599bd7",
"sigmaType": "Coll[SByte]",
"renderedValue": "a43e82fe4392fd2edf4c570483784a8b4793e8549fdff4c411352b3d2e599bd7"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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},
{
"boxId": "e6f91ffc7cd3cff692ff621f248cbb8fbf6521fbdb73ad4064aaa904f6b49f15",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "659731b3a8e070cec564c85f6a158ca2a8bd43c174295aa5bab9b8b2d936862c",
"outputIndex": 1,
"outputGlobalIndex": 41127759,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ba77b4351bcd232bd2bff9ec101db1212896bb2d28bf09f3b9da1fec4515de57",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba77b4351bcd232bd2bff9ec101db1212896bb2d28bf09f3b9da1fec4515de57"
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"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e2020033f238d256e79a81c0855e93b9b6158f34ebfcc1421efbf156eaadcdf142d",
"sigmaType": "Coll[SByte]",
"renderedValue": "20033f238d256e79a81c0855e93b9b6158f34ebfcc1421efbf156eaadcdf142d"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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},
{
"boxId": "ae5086bbbb5ad736795d644c81dec8de63067d2934cbed019ff4f99df9f2ccfe",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "68c8d9e71b76c73a3b3571364fc71e936565fd301e16b3c304056a43571ae16d",
"outputIndex": 1,
"outputGlobalIndex": 41127764,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208c3f3005deffd60b1c554794bf37bdc9c57f9e96b6050413ee21c2d10ac978f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c3f3005deffd60b1c554794bf37bdc9c57f9e96b6050413ee21c2d10ac978f1"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e209cf0a7b81200cd566b04daaf34d81980593b9b71028dd41b71655d3224836add",
"sigmaType": "Coll[SByte]",
"renderedValue": "9cf0a7b81200cd566b04daaf34d81980593b9b71028dd41b71655d3224836add"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "696b384a47b51e24ace03130a96d4f9ad727d94eaa4fa571466b1eb3e517842a",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "afd924ddb918b4efe2137c07df8f8b87758d5b2a2378e8ec74e1c3f7bc900c93",
"outputIndex": 1,
"outputGlobalIndex": 41127769,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dc64db4364785b4653bf3c636958749c5c3970e36247b51ec6b0dc629e700494",
"sigmaType": "Coll[SByte]",
"renderedValue": "dc64db4364785b4653bf3c636958749c5c3970e36247b51ec6b0dc629e700494"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e208333299a7207f1043df31a76a5b4376d6e1fa6be884ba9ba2119bf2d4d5bf033",
"sigmaType": "Coll[SByte]",
"renderedValue": "8333299a7207f1043df31a76a5b4376d6e1fa6be884ba9ba2119bf2d4d5bf033"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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}
},
{
"boxId": "d8600c226337d8e080910987be646a1699898295cf0b5f065c66f9b6182ebe0f",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "bf6951875a39d514fbebddff1c9b4c14491e2264c60d7ab4df4796664c16fdcc",
"outputIndex": 1,
"outputGlobalIndex": 41127774,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e226eef85d2239163b303451e520f1f6a325d108097c5228e85c8ee3d2693bbb",
"sigmaType": "Coll[SByte]",
"renderedValue": "e226eef85d2239163b303451e520f1f6a325d108097c5228e85c8ee3d2693bbb"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e2061a1b9d76e6d55b8e68ef66b089597577e83bcd5140c0e5bb60f5368bf5b4d51",
"sigmaType": "Coll[SByte]",
"renderedValue": "61a1b9d76e6d55b8e68ef66b089597577e83bcd5140c0e5bb60f5368bf5b4d51"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "a25dc06a62fafcc6d6be4df971c6a8a28650d9ac97a56e04db750b3349ab3aaf",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "c6b6507b469ad6a7391a903a1e545bfa0f8845ab118a8e1ac7a54b40d860f41e",
"outputIndex": 1,
"outputGlobalIndex": 41127779,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bb0a853565964b6ae8a3b39516e89a7727a799e116bfd121c8690adf86706d39",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb0a853565964b6ae8a3b39516e89a7727a799e116bfd121c8690adf86706d39"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e2021a20eb865b700cfc6a6874f14720ea046bc9de9fc424efc9d90e2cdf512cc4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "21a20eb865b700cfc6a6874f14720ea046bc9de9fc424efc9d90e2cdf512cc4d"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "2f705712e5142cbfaf407f02af771b1a683b9a777c78a4b8d9281f2926f24b7e",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "9f1d18ece6952d0b340ba90aae1032e4f63b2397bf4a5a2027af8c224cf6f1fd",
"outputTransactionId": "cb64288a8b0d14a8cd8887bdb41a8c6c725f4cfc63faebb34f19db3fc48658a1",
"outputIndex": 1,
"outputGlobalIndex": 41127784,
"outputCreatedAt": 1296990,
"outputSettledAt": 1296993,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2007498968a2108132eb0d870434d31ba899e1dd6860ca21e21003073f07e0cc8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "07498968a2108132eb0d870434d31ba899e1dd6860ca21e21003073f07e0cc8f"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e207c717710459c2c68cff0959582fcbb071a300f36ef600f030270c1fa5b7eff0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7c717710459c2c68cff0959582fcbb071a300f36ef600f030270c1fa5b7eff0a"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "af28c024ab53e823a782967bc163e6fa7a771ac82a18648479793290cff3eda1",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "a63286735ed4f065c8cbefeb080ab109965dfda55bd1fb34313710f883fa5bf8",
"outputTransactionId": "94099fd4066e966ba1ca98feafa231b9913b58d1ea773a2000957c12880cd581",
"outputIndex": 1,
"outputGlobalIndex": 41127977,
"outputCreatedAt": 1296995,
"outputSettledAt": 1296997,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "9700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4"
},
"R5": {
"serializedValue": "0e20d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e",
"sigmaType": "Coll[SByte]",
"renderedValue": "d281669f4f3978397c0be51723b43f3554fd4c58136aa8045af78d591ce7155e"
},
"R6": {
"serializedValue": "0e203e9fde3e14ee51ebe0f2002211bb8aec1cd26e6474d162405986760319729bbe",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e9fde3e14ee51ebe0f2002211bb8aec1cd26e6474d162405986760319729bbe"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "8f44d8e349b66e573a4da232cf15493662d7f281e5e93b147ec89ae695eabd44",
"value": 2000000,
"index": 10,
"spendingProof": "627119436d57621b26109fecf2bf2968845debb6ed396a5f0f129d63bbc68650b0a4dbd9064cedc4df7f040538adcbbe0c0d9f3b5adf1035",
"outputBlockId": "58fd0596157bb14c4a9637eaf660a5bbd377023d0d62dd62b5d6fc7333bce053",
"outputTransactionId": "a5a3eb74d26110ffe6a9665eae730dc32a374d0def0b7cf97364c0f819ec1895",
"outputIndex": 1,
"outputGlobalIndex": 40828333,
"outputCreatedAt": 1286966,
"outputSettledAt": 1286968,
"ergoTree": "0008cd02204c33f524735735331eef9c096c8968a24a42fe4c14d7847d16eeaa86925825",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(204c33,d53cd6,...)))}",
"address": "9emHWrjeqXMqhJG8HVkZokeHJhYCY4z5cY5Uqtwir3hKq6EsMws",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2332,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "d3ad8b849f9fcce3a854acee9191ac5a6537b456a32f1f5afc803e01decca383",
"value": 2000000,
"index": 11,
"spendingProof": "872667d491de74724296ea2d5b29e8ecd77151e1e252b40783fd33c5bb4acbb94f12930adc125dea4d9aacd0445d0c4dd4d3a66975c8af56",
"outputBlockId": "f45457859cd4dcab8314fa922ca01ab50ef817a6b5dd16a5857767a9572a0be9",
"outputTransactionId": "e872afb6a4876004e69a40f468314225120e6def07e04b381af4f9642b757bbe",
"outputIndex": 3,
"outputGlobalIndex": 40828209,
"outputCreatedAt": 1286957,
"outputSettledAt": 1286961,
"ergoTree": "0008cd02204c33f524735735331eef9c096c8968a24a42fe4c14d7847d16eeaa86925825",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(204c33,d53cd6,...)))}",
"address": "9emHWrjeqXMqhJG8HVkZokeHJhYCY4z5cY5Uqtwir3hKq6EsMws",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 444,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "4cdfe8f96addae21d2840076bcb37a689a8bf79b46b76eba0818381ebfd73eb5",
"value": 1100000,
"index": 0,
"outputBlockId": "e286f62bbddcf8c83784eef6003054f78e3729d79357314d65a98e922502c452",
"outputTransactionId": "92d6af1fddecdfbe77b774a00078a19e8332edf3744f584351383c0aeb1324c7",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "fd3882ecdcb22bf3c511c5a7e78d978add8d3a2ddcd811671778e382e8f1c616",
"value": 1100000,
"index": 1,
"outputBlockId": "bbfac1ffa39e04531c6fe0c2b3291a5da5488089c6159ead1d954caa682454a8",
"outputTransactionId": "c9ddddc64de94a065e60b779635a473177f78c855714f4ac97bae5b202f71f7c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "104b61c6311a3e300c2b4816809e0bd9c40406faef50e0b816151574dca0bc98",
"transactionId": "9d19cad2e8f52600bcdbd3638cd2922090dd9d3e8023b3c4ea0d3fda3d2746db",
"blockId": "b04d0b6476e26ce52f2910c45b33e1412a652b8d03616485a4f1cb8f41909f7e",
"value": 20000000,
"index": 0,
"globalIndex": 41128017,
"creationHeight": 1296999,
"settlementHeight": 1297001,
"ergoTree": "100f0400040004000400040004000400040004000e209cec21799d6191184543ee2cecd427df2b3fc587139460c75510e39de1f6cc47040204000e202708cc15be42eff988c7194c86912d305361c8c12cf9dae2b750dbf5c1519bd004140e20c5a029f593a106e1594dda1e5435ae44b347fa4ddf8fa03ccd057afc28b7dd38d804d601e4c6a70704d602b4b5a5d9010263d801d604db63087202ed91b172047300938cb27204730100018cb2db6308a77302000173037201d603c2b2a5730400d604cb7203d19683040193b17202720193e4c6a7040ecbb0ad7202d9010563e4c67205040e830002d901053c0e0eb38c7205018c720502af7202d9010563eded93c272057203938cb2db63087205730500018cb2db6308a773060001938cb2db63087205730700029d8cb2db6308a7730800027e72010595937204730996830201938cb2db6308b2a4730a00730b0001730c9299a3730d8cc7a70196830201aea4d901056393cbc27205730e937204e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-100,-20,33,121,-99,97,-111,24,69,67,-18,44,-20,-44,39,-33,43,63,-59,-121,19,-108,96,-57,85,16,-29,-99,-31,-10,-52,71)\n10: 1\n11: 0\n12: Coll(39,8,-52,21,-66,66,-17,-7,-120,-57,25,76,-122,-111,45,48,83,97,-56,-63,44,-7,-38,-30,-73,80,-37,-11,-63,81,-101,-48)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 10000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20828744dd946d2845e92a43a36de75b94d06079b5c3e48d6fed54b6a5d58ea039",
"sigmaType": "Coll[SByte]",
"renderedValue": "828744dd946d2845e92a43a36de75b94d06079b5c3e48d6fed54b6a5d58ea039"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34643933326539383439393562353935666263623532616531613063333061316664316631666566363665333338626266653332666136663438616630356431,626974636f696e,63617264616e6f,626f783a333733346661333665653365303031393437303162343330646233336261306232366531363764376565633163373634653130323564626561323537303264632e30,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,0000000000000906,0000000000000603,0000000000000302,627463,33313232353431343836633938336436333765376564393333306339346534393065316665346131373538373235666162376636643965302e3732373334323534343332643663366636353665,30303030303030303030303030303030303030303863663833663636393163623839653734656363373561326230323036333566343562386563303733663766,00000000000cf80b]"
},
"R6": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "27983573773d582e3a4728ecb5469ab0a77b54fbd01009ea24e7e75130bfe451",
"mainChain": true
},
{
"boxId": "79a7cca564e1e193419654fcc150e605486b116b6ca06455071278c934a70442",
"transactionId": "9d19cad2e8f52600bcdbd3638cd2922090dd9d3e8023b3c4ea0d3fda3d2746db",
"blockId": "b04d0b6476e26ce52f2910c45b33e1412a652b8d03616485a4f1cb8f41909f7e",
"value": 2000000,
"index": 1,
"globalIndex": 41128018,
"creationHeight": 1296999,
"settlementHeight": 1297001,
"ergoTree": "0008cd02204c33f524735735331eef9c096c8968a24a42fe4c14d7847d16eeaa86925825",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(204c33,d53cd6,...)))}",
"address": "9emHWrjeqXMqhJG8HVkZokeHJhYCY4z5cY5Uqtwir3hKq6EsMws",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2776,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0349e71fcf27f55bfea34c5977335fb8cb445dd05c0111acd0864cfa18a29d0e",
"mainChain": true
},
{
"boxId": "45d8d3c0a5dbbc9c703d6306e487924f4617f3983e437532d3b83158a31e260c",
"transactionId": "9d19cad2e8f52600bcdbd3638cd2922090dd9d3e8023b3c4ea0d3fda3d2746db",
"blockId": "b04d0b6476e26ce52f2910c45b33e1412a652b8d03616485a4f1cb8f41909f7e",
"value": 2000000,
"index": 2,
"globalIndex": 41128019,
"creationHeight": 1296999,
"settlementHeight": 1297001,
"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": "ca543b47d5b8a6ff7b393a0d5c06f755242c43007f34fa89de403343ac70d788",
"mainChain": true
}
],
"size": 1708,
"isUnconfirmed": false
}