Transaction
ID: 4b16d2b8b8...3fa3
Inputs (16)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
2.98 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.03 ERG
Tokens:
45,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.98 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 97,094
Total coins transferred: 3.01 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001104 ERG
Raw Transaction Data
{
"id": "4b16d2b8b841016210d44ded1e6375e9a8e2a55b23a5b53759d980e0287c3fa3",
"blockId": "7603af424271d8ee7aa79b87be08e97b70373db643560bee121ccaa374a098d2",
"inclusionHeight": 1662451,
"timestamp": 1763899627281,
"index": 8,
"globalIndex": 9847336,
"numConfirmations": 97094,
"inputs": [
{
"boxId": "227b6235d66bbec3bdb7ea5decac833107ff2d285005338028d6669ae4c64dba",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "1057a4a8c143a869ebee2e34224c51d237ee1fd7edcc6c91ddc0083cc854881e",
"outputIndex": 1,
"outputGlobalIndex": 51770394,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202c9d1d9dc627c3ac8c6365ed77f8f9a19571b8d298c085ee7a65a55e70bdfe2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c9d1d9dc627c3ac8c6365ed77f8f9a19571b8d298c085ee7a65a55e70bdfe2a"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e209e2e07196b63471312445e3342e025a811adfa8a99a3d52c91add2d2c9ba0e87",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e2e07196b63471312445e3342e025a811adfa8a99a3d52c91add2d2c9ba0e87"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "a7b9c207a913b1d10949e04144a68ee738d697eadc7182125efd6a933ac08c9f",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "335c22c6c5af0f614b0997df684eafaf2f2804932aa9134efb08b52af0fc79d3",
"outputIndex": 1,
"outputGlobalIndex": 51770398,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c02b144bee302bf0a457a9a2797c2835d5e7181ed2b1c01be2f06e1279c7eb56",
"sigmaType": "Coll[SByte]",
"renderedValue": "c02b144bee302bf0a457a9a2797c2835d5e7181ed2b1c01be2f06e1279c7eb56"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20e38fab060e56f9353a543a0a305a859922f5241966498a6c633d289318b5c927",
"sigmaType": "Coll[SByte]",
"renderedValue": "e38fab060e56f9353a543a0a305a859922f5241966498a6c633d289318b5c927"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "7d1dd4d2e5b33bf5a3bc3719f46e111c7f013d81f8f7ba19c4aded493eb0ec93",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "3575e46e351f40e142d68a8c3883d09a4d1b8e6b12ffd2ed62366212e93035ce",
"outputIndex": 1,
"outputGlobalIndex": 51770402,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "102404000e20be163b16aab24d413ebb36307d6cddcf8bac265a79c967f3a395308c1feb1fb2040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf72129489115055504000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20aad7391c7f3ee67d07d9ddf1c0419e0fc149c20b373096c81f6a94d5a219ebe2",
"sigmaType": "Coll[SByte]",
"renderedValue": "aad7391c7f3ee67d07d9ddf1c0419e0fc149c20b373096c81f6a94d5a219ebe2"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20dad366927508c37685260eac9470e64bc53cc9728eedf0b0da1b5f6aeb0f2a55",
"sigmaType": "Coll[SByte]",
"renderedValue": "dad366927508c37685260eac9470e64bc53cc9728eedf0b0da1b5f6aeb0f2a55"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "82bc148ea467138812cd1e6f7924d9102375cfd7f84bee67f74c09d6a4761c3f",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "39f6bc32aacad87ad7de957a06311d5892e4f0833ac34840195d0ef192775345",
"outputIndex": 1,
"outputGlobalIndex": 51770406,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20eaae58b9f50009844029335126a42ad0dd93031678e4786d93465f9dffba4f49",
"sigmaType": "Coll[SByte]",
"renderedValue": "eaae58b9f50009844029335126a42ad0dd93031678e4786d93465f9dffba4f49"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20ddd4d4fdc20c8b954520fb0ddae9baeb38121b7284ac42b11bf7876cf618af39",
"sigmaType": "Coll[SByte]",
"renderedValue": "ddd4d4fdc20c8b954520fb0ddae9baeb38121b7284ac42b11bf7876cf618af39"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "37273cb94b0e50be2687d7d8b1920b03abf7ec9ba6db55577bc438ac6f52556b",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "61f8249a51b88d150ef5887d6a914759b5e1969f720897cf4a45d48392e19383",
"outputIndex": 1,
"outputGlobalIndex": 51770410,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2004c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e",
"sigmaType": "Coll[SByte]",
"renderedValue": "04c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e206f0c4111b69fc7c5249c1fe22bf6b97fecd1898033d46788abf6383dca60fbf5",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f0c4111b69fc7c5249c1fe22bf6b97fecd1898033d46788abf6383dca60fbf5"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "a5c6381266c5f1afe97a96ba97661a9928a6e9ec0fc8c3b7b61e6a9ed6966fd7",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "9901fd4588dd8d306769a8730f4698c3abea3922dee15b6e4222c74e60e70d19",
"outputIndex": 1,
"outputGlobalIndex": 51770414,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "102404000e20be163b16aab24d413ebb36307d6cddcf8bac265a79c967f3a395308c1feb1fb2040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf72129489115055504000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209dab61ff5f80d4afb581dcf37d9b9995ff73d88f5239a55c27c78c720849129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dab61ff5f80d4afb581dcf37d9b9995ff73d88f5239a55c27c78c720849129a"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e204cfbee302a9b66072dc4f9543ff2f14368f83007931119eedd647e06064572fe",
"sigmaType": "Coll[SByte]",
"renderedValue": "4cfbee302a9b66072dc4f9543ff2f14368f83007931119eedd647e06064572fe"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "4e7cc9fb1f3f6777d70a49edd9d437491a9607376b63b2fbb93bfb00fc8cf30b",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "9fbb647f0586f570dc7261bae4ce917b81edb3877ea10b8af54a7bc064f62730",
"outputIndex": 1,
"outputGlobalIndex": 51770418,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f",
"sigmaType": "Coll[SByte]",
"renderedValue": "d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e205be796682b1de05088b272cbe1c932caaa8ba54737d5294b0db05fd170df3fe6",
"sigmaType": "Coll[SByte]",
"renderedValue": "5be796682b1de05088b272cbe1c932caaa8ba54737d5294b0db05fd170df3fe6"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "e9bde22f289643272df78cc13936ca63cd84f32f16e30f6a8b635e9e8a4250b1",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "a9394e940e642203836bd3b2fa1da2269b8384aa98eb6f30bd1af90d09c9f29a",
"outputIndex": 1,
"outputGlobalIndex": 51770422,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "102404000e20be163b16aab24d413ebb36307d6cddcf8bac265a79c967f3a395308c1feb1fb2040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf72129489115055504000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936",
"sigmaType": "Coll[SByte]",
"renderedValue": "738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e2046d24dc0699212f406dd0eea3c14d8878029065cc41595f5a417fc1320be0ad4",
"sigmaType": "Coll[SByte]",
"renderedValue": "46d24dc0699212f406dd0eea3c14d8878029065cc41595f5a417fc1320be0ad4"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "555042594d3f1450211abf755e568ee6b4908fd799cb375c7e8ad9552a7af2a2",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "b8d1b69126f83ef602fee4396d3e44c7c2943768d46d63e40eedbc33898718fd",
"outputIndex": 1,
"outputGlobalIndex": 51770426,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "102404000e20be163b16aab24d413ebb36307d6cddcf8bac265a79c967f3a395308c1feb1fb2040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf72129489115055504000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20af10b826b4bcfbd6c024d38adbb9f0831dfd832f0e305728c46083d21de3c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "af10b826b4bcfbd6c024d38adbb9f0831dfd832f0e305728c46083d21de3c411"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20f019e51c21aadd19c031ffa8f49afed5b0317d14fd2dfa353ca8b084774baa5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "f019e51c21aadd19c031ffa8f49afed5b0317d14fd2dfa353ca8b084774baa5d"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "992f25ff206d91c36e3b153fadc46c9cecb2dc31f8ad817956509495999652d3",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "d46d2672c3368c9c306a63027a221540560588f0e6970910b4a6271ccf036577",
"outputIndex": 1,
"outputGlobalIndex": 51770430,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e2095e689b95cab11765fc860a2ff1c56d762a02ae092d61cbae6f1a06c95de5e58",
"sigmaType": "Coll[SByte]",
"renderedValue": "95e689b95cab11765fc860a2ff1c56d762a02ae092d61cbae6f1a06c95de5e58"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "8eb7cdd99f176cdc89992ca5ac8af189c7b2015ca207da3829075824bca4bc07",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "db0a3d3cd1da16b27474ef73a1f3897794d84afdfe85ef668e6a7cff79542712",
"outputIndex": 1,
"outputGlobalIndex": 51770434,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20c63935375aa4b675bc066bf59aaf5611a7df06419c4a97edd35bb42d1de2ea9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "c63935375aa4b675bc066bf59aaf5611a7df06419c4a97edd35bb42d1de2ea9a"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "c0e748c5890e0252323f5e3fcdcf80dc728cc934dad81621e42b041403dbccb7",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "e3610a7ec904556a4e60103cb3d92b4e91bb6acf43310d28412bbd88a4773006",
"outputIndex": 1,
"outputGlobalIndex": 51770438,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e203a7297ac6c347664dbcdb15686920bac1f3b31c66d39fc731133b75e00da3dbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a7297ac6c347664dbcdb15686920bac1f3b31c66d39fc731133b75e00da3dbd"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "eaeb6ad5f5fb8330c6dd4289d82955c18cd4fe7fce7bbe8c7d47bb61ce066ecf",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "5fc2d117141725b9af8e3966f2f31539260a4988daedc8ff3acaec4e05df48b2",
"outputIndex": 1,
"outputGlobalIndex": 51770442,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209b730b00736c3c10e3cb460b5c22c7c9e0b4b55944cf728d2999e030af62a31f",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b730b00736c3c10e3cb460b5c22c7c9e0b4b55944cf728d2999e030af62a31f"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e2062b6fd352b79db20a15b8b4d3d16380dbc07ee4878fc7410dde12d0d3d754281",
"sigmaType": "Coll[SByte]",
"renderedValue": "62b6fd352b79db20a15b8b4d3d16380dbc07ee4878fc7410dde12d0d3d754281"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "f5bb3fe05f1714dc641384700b4dc4cbb1fa6e6b2d9852746b0fa5a59b36e3ed",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "fd0b22267441987b81d871addc3adf5a12a79e66851a5657013578fc0953ac0b",
"outputTransactionId": "8930b6ac48f4be16ac81524f8c3403a619f094397980bce4afe2a97e2d91b75a",
"outputIndex": 1,
"outputGlobalIndex": 51770447,
"outputCreatedAt": 1662440,
"outputSettledAt": 1662442,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b3db30d1ffcc734aa6f28f02f728d2bd9a90b45025d11d2e384f09f0257406c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "b3db30d1ffcc734aa6f28f02f728d2bd9a90b45025d11d2e384f09f0257406c5"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20bff277aaa75f59772c558f364db3e1643442f168227f9b3c5efeea6f2cac8fca",
"sigmaType": "Coll[SByte]",
"renderedValue": "bff277aaa75f59772c558f364db3e1643442f168227f9b3c5efeea6f2cac8fca"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "cbdd2406c4d23927efc959849f6fc7e033bae8d2e824ed55ddc4bf71d288fbad",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "00d8598566a2eed74b79c2b4f94fb2707d808bc184805a7b99839e03c06f8860",
"outputTransactionId": "c8a5cf81e2ab37be69ab721d37b86c398fca70958630a0cbd2b2ea9e6ab46f8a",
"outputIndex": 1,
"outputGlobalIndex": 51770543,
"outputCreatedAt": 1662441,
"outputSettledAt": 1662443,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f77f9f8f2e26e0591fd86bbbe4e9600876bedca51e628e1bff7d8eaca03778b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "f77f9f8f2e26e0591fd86bbbe4e9600876bedca51e628e1bff7d8eaca03778b7"
},
"R5": {
"serializedValue": "0e20b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734",
"sigmaType": "Coll[SByte]",
"renderedValue": "b42ec78ef04756dc89f38348ce6196a924df7086a12bd0c408dc0ff6d3a66734"
},
"R6": {
"serializedValue": "0e20562868072f83e7f60b4f6358cbacb02e5f5c1eb943180743615fcc63ebf41511",
"sigmaType": "Coll[SByte]",
"renderedValue": "562868072f83e7f60b4f6358cbacb02e5f5c1eb943180743615fcc63ebf41511"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "9ad82b7ef053e05a7038d0b90d1e9793a613ca405fca7d11c609e5b26ce8c54a",
"value": 2984000000,
"index": 15,
"spendingProof": "fff9a15fcb9a16fd1f9427b5d095c1db36c513af5deb90d03cb72f7f1f6741052053ab99811d727722f959f39802f40958077a67ec921cbb",
"outputBlockId": "38aacb3d9653cdaa25b8c03ffbe56ab9806ab583b29222f92727bc7bb5ce779e",
"outputTransactionId": "b1de6feb490a8d54aaed140daa1ac2b4d5c73f1c2e4490ee11dfb82d657b8773",
"outputIndex": 2,
"outputGlobalIndex": 51770684,
"outputCreatedAt": 1662442,
"outputSettledAt": 1662444,
"ergoTree": "0008cd022f201fd1b0aeec86da5e0ab780efe1e1c402e9c68efb18b62d58ad94c1331b41",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2f201f,4d7e13,...)))}",
"address": "9espGkHNT8eNndBuoCCMwQp1pV8MS1Y8yXnZdr9T5prPWfMVCSQ",
"assets": [
{
"tokenId": "d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f",
"index": 0,
"amount": 3,
"name": "WID-a107f-WfMVCSQ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "73a7d69f9a83278597a0f789579f4c7c719e22e425a048f2e31ba76c18660f0a",
"value": 1100000,
"index": 0,
"outputBlockId": "1bea5511c7b66f70073277272b5d4b3bdf1ffb8cf3b414007f5fceba7217ce5b",
"outputTransactionId": "b0505f940597d4145eb9c025de4638e561d2a3b2895de598562ddddb2f33b185",
"outputIndex": 0,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018090dfc04a80c2d72f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,10000000000,50000000]"
}
}
},
{
"boxId": "593137f95ea6f4b4597e54a096d2e78eba0732cf7b02c62aa65bd102e116b38c",
"value": 1100000,
"index": 1,
"outputBlockId": "c7ea90031a4591c8da7b14b5835cf66210785ed730039e0ad2412797f838c726",
"outputTransactionId": "101dc0ef63181571df1310ae6bf2e6cbe0768035f0718a625d0862575d5cc14d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0c426974636f696e52756e6573",
"sigmaType": "Coll[SByte]",
"renderedValue": "426974636f696e52756e6573"
},
"R5": {
"serializedValue": "0520",
"sigmaType": "SLong",
"renderedValue": "16"
}
}
}
],
"outputs": [
{
"boxId": "6a31efd4f4ccc31b9a0542175fdbefa65d81b7887a810c13f7a02d2de426fc98",
"transactionId": "4b16d2b8b841016210d44ded1e6375e9a8e2a55b23a5b53759d980e0287c3fa3",
"blockId": "7603af424271d8ee7aa79b87be08e97b70373db643560bee121ccaa374a098d2",
"value": 30000000,
"index": 0,
"globalIndex": 51770866,
"creationHeight": 1662448,
"settlementHeight": 1662451,
"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(111,58,90,63,41,25,-38,-64,-90,-25,-82,79,-44,52,99,24,-115,-81,44,-118,111,58,-66,99,-73,121,-23,69,119,23,-29,91)\n10: 1\n11: 0\n12: Coll(72,12,-93,-102,-83,-49,9,46,-40,-89,71,115,-37,68,46,-27,-45,127,-34,-67,-92,38,66,-65,-37,-29,-67,22,-74,-127,-79,33)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 45000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20acb36d65707f1b2c5f8ce3e6ef53a3470a17f0ae024e8aefe698f46146254203",
"sigmaType": "Coll[SByte]",
"renderedValue": "acb36d65707f1b2c5f8ce3e6ef53a3470a17f0ae024e8aefe698f46146254203"
},
"R5": {
"serializedValue": "1a0c40356235306262646536316632376630376665623037333835393063373664613039656335643935653632633338346637333432353430363330363631323363640d626974636f696e2d72756e65730763617264616e6f46626f783a626265303265633262646363653665316461323062313731313163616439343161613964366165326631616131613263396234663564313061663231326130352e326761646472317179326639657175646136787571746673767039706571327635327a34676d3277786b6e63703472776d3771726c636a70356d7064336564686a703230616e346e7965343675616d396472746a3263366e38793265616c6d3379667137706b306674080000000000041635080000000000004a3c080000000000000eb1093834303030303a34354339343165656539353063383037346132626335353832366465303261386264316465386631646436326361616261633032643337623630312e3732373334643439346440303030303030303030303030303030303030303065346539376163633636393936643238643664663633323463633365313539386361633731323363623661630800000000000e1cac",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35623530626264653631663237663037666562303733383539306337366461303965633564393565363263333834663733343235343036333036363132336364,626974636f696e2d72756e6573,63617264616e6f,626f783a626265303265633262646363653665316461323062313731313163616439343161613964366165326631616131613263396234663564313061663231326130352e32,61646472317179326639657175646136787571746673767039706571327635327a34676d3277786b6e63703472776d3771726c636a70356d7064336564686a703230616e346e7965343675616d396472746a3263366e38793265616c6d3379667137706b306674,0000000000041635,0000000000004a3c,0000000000000eb1,3834303030303a3435,39343165656539353063383037346132626335353832366465303261386264316465386631646436326361616261633032643337623630312e37323733346434393464,30303030303030303030303030303030303030306534653937616363363639393664323864366466363332346363336531353938636163373132336362366163,00000000000e1cac]"
},
"R6": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
},
"R7": {
"serializedValue": "041e",
"sigmaType": "SInt",
"renderedValue": "15"
}
},
"spentTransactionId": "618815444de3937b1d0f8cfe6d9bc8490d41d999c39a5c4edf40a59ee65c5787",
"mainChain": true
},
{
"boxId": "6aefaa6e963c1d066b7d118e5e2e175ba8d2f3a6850eb59e2532aefa7050b2cb",
"transactionId": "4b16d2b8b841016210d44ded1e6375e9a8e2a55b23a5b53759d980e0287c3fa3",
"blockId": "7603af424271d8ee7aa79b87be08e97b70373db643560bee121ccaa374a098d2",
"value": 2982000000,
"index": 1,
"globalIndex": 51770867,
"creationHeight": 1662448,
"settlementHeight": 1662451,
"ergoTree": "0008cd022f201fd1b0aeec86da5e0ab780efe1e1c402e9c68efb18b62d58ad94c1331b41",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2f201f,4d7e13,...)))}",
"address": "9espGkHNT8eNndBuoCCMwQp1pV8MS1Y8yXnZdr9T5prPWfMVCSQ",
"assets": [
{
"tokenId": "d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f",
"index": 0,
"amount": 3,
"name": "WID-a107f-WfMVCSQ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "d45efaabebfeec501916a12f4c5035ee4f5956b61bd061a6f492fa7c7f3d0678",
"mainChain": true
},
{
"boxId": "ab3884f46fa1caca86aed6966968fa46df00af7d0589f9615c6d445cc4ad822d",
"transactionId": "4b16d2b8b841016210d44ded1e6375e9a8e2a55b23a5b53759d980e0287c3fa3",
"blockId": "7603af424271d8ee7aa79b87be08e97b70373db643560bee121ccaa374a098d2",
"value": 2000000,
"index": 2,
"globalIndex": 51770868,
"creationHeight": 1662448,
"settlementHeight": 1662451,
"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": "d4c47b242e588c6242f2c840217e9faa81ca6314b5340f1f95d8d602704be5aa",
"mainChain": true
}
],
"size": 1811,
"isUnconfirmed": false
}