Transaction
ID: 243b5b36e4...449c
Inputs (13)
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:
0.024 ERG
Tokens:
36,000
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 75,309
Total coins transferred: 3 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001232 ERG
Raw Transaction Data
{
"id": "243b5b36e45d1326fb1dd7d080873ab60a319b20650fe12b973fac050f63449c",
"blockId": "249ba5f36a671d57b30d50cac2e331541a6c7a90a44c657ab2cf3800f4b33687",
"inclusionHeight": 1693456,
"timestamp": 1767647439337,
"index": 22,
"globalIndex": 10096196,
"numConfirmations": 75309,
"inputs": [
{
"boxId": "a201a74de8de8071e070c0cc3dca87fb998b1d471d8cb8fa829cf2a013d00755",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "26e9fc366ee49a26b22b2e436ccff017f806775117b0312cb6db943177ab49ec",
"outputTransactionId": "d0d4c473357b7b79fefe83ffee2da6cb4a79a8c0eee8fe9600a93d0c8d3a4080",
"outputIndex": 1,
"outputGlobalIndex": 52774361,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693451,
"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": "0e20738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936",
"sigmaType": "Coll[SByte]",
"renderedValue": "738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936"
},
"R5": {
"serializedValue": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20f1263f45f669b7efe0b0c20e773717144e192313868094ad19bdae847d6182bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f1263f45f669b7efe0b0c20e773717144e192313868094ad19bdae847d6182bb"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "656f248d55bfc2ba5c5f834c248e253b6e8dcb6c563fd65ff25b6b87ab7c9568",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "1e355f0b0cc435099fac73d1783ea313e315b715bb6ee5313285d592bfce997a",
"outputIndex": 1,
"outputGlobalIndex": 52774381,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20a3a4894aaf0f6c48fcbf2e884431a4d3ebc908e0d6ad9c556ce5bf0369d8f3ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3a4894aaf0f6c48fcbf2e884431a4d3ebc908e0d6ad9c556ce5bf0369d8f3ec"
},
"R5": {
"serializedValue": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e201c6182076a706c117359095f9292f538d7e765c7961dd854952dec73262f5a89",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c6182076a706c117359095f9292f538d7e765c7961dd854952dec73262f5a89"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "4fed572b7ad8df42ca6578c055db08afc7da4a3ddae20e90df1259a60075e358",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "5cef68699ca90a35cb3f00ac315e2dc303544105748dc0418da9f2de29ddb133",
"outputIndex": 1,
"outputGlobalIndex": 52774386,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "5ivrmzxYZwTAiTX9sPndhvFogPtijgcySCRKTQBJwcgHkKVsM9Chqog7YhdVDbf7AH9Z2PgYmjMrWbPgDDCHLDANY9RyY22DvgyS3P4XmuD1YptEBLveRbcQGJjeLmxF5HzmQePE9MtFC2foD2e7gWBqqSuhcSQMWtWZXrsWzEgbtvvQP1UYsW3DHaXa89oQzxiLq7bGPrVqvxEK3fHS7onA6MZo7bf2UxJE7zqnbvq91CLZCAcp33VM48vTmwq5X27URUV81iJdpqES3JSVdAdDqrMXGiqCh8rB8mJsVqfmUy66nYmK5QVSu11N23pELKWotBnoN5WxZuHugeytjkFRtFMpwuowE2tmrkJ6NXF4BBe3hAh162o6b4zVUpbkhsjg59HkaSeFAhQScYYQdcJf6uZoA8cF7JHya1QEuVzeG5esubZjDx7MSPrEL42Gehvbt6QZ6R1QYK6gZSFB7twXHWWgcX2VzjofWtbAJkN69JbaWh2W54PQ4x8JZdUTWQcUQUTbPd6T8Wj8xuuXWfGLsadY8CJ9y1Nojctupz9MxzkZZQZnqtuwnNU6w15CP5MGskSbpF4U6Ha6mSnjQzWRGTjZTS73nof3Rr3QcJzpMbT18GQCoZnkUXJ19ch5Ub62pBhSc7gUaed1vxMfyfHBpnviCMwyTA91MWCjajbMzZyEzbrGz47xFW3VuPkTqtyNTFbue8pgouvoDC7vu7haTQWyjQXQ4UmVN6cWNzxKW81JhUSUWPXy9spJcH1ESXwtgJPGPfGwdmCPkJogdrZvPZcrPpDEE3U2UWVKHwHPVgGj1iDdXDxCaht4AdHus2sJhtC2P3N4gsP2RFbkecSMZii6ZB5R3n58qzq3xnCeHbvCu22Xdkao7jFPkEjDqdsbLVkwK85dTVHcybB1xV2Cgvv4YDjaHemfAwUrWEfELi2MgJeRxrA3bPPT8PsAh1uSMMEL598EijK2Psn8YwmwZFTMoigWEAfr1PzvisDZjYAH6ofrt95jFHuT1XKFy3wT5uhveGWjqFjhJpV4XvvRf9qLBiv6XRTqimK3AQUR1URog9fkfVd6u9spDUTkX1tWMTXRTPnrCPkWmkjY9K8PdSsY9YsbTv6YQ8HzeeiHTa18uPhy99bd4k3bubL1zuAmPMoNDUKm2m9d3xmMB6soNS849xt1LS7EeXRzvkqEY2kU75QSDSrqhaMPr4iGYkd2JBjyQohbCMsWNdsjWqxQjgCc7cyTWQngrtLaFRXdLbVNKCzHvTzCnWqpa8xNZB9ecsrcbno13jrAKzHhx",
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e207dadb5adc2ae72e97a56d9aae79e8eef6906e748cb3f4118ac11a1984bb2074f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7dadb5adc2ae72e97a56d9aae79e8eef6906e748cb3f4118ac11a1984bb2074f"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "b8e23ae01a43b1b1052ab82a6bc20fefc851523fd0877e95885f981255a97919",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "863865136742e91859c6b93116487a43d20eb16ed3224c7d8dfa14c8cf2e4158",
"outputIndex": 1,
"outputGlobalIndex": 52774391,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20235444b40a5bb1a88c1a3a879f212b197367c3b592af2f98578ea8b24bd862e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "235444b40a5bb1a88c1a3a879f212b197367c3b592af2f98578ea8b24bd862e6"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "b5dd6835a14709ca8490978e5e222f195700b7050afc119d205d3435434ff981",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "8d6f4b7984eb7bb2e3497d34782b03eef4cccdb7df6d2bc7e70ceaa7cca37fc1",
"outputIndex": 1,
"outputGlobalIndex": 52774396,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e2060892728fdbc41bb105d764ffa8d2e9b5159ea44e47be6976ad49394e430c253",
"sigmaType": "Coll[SByte]",
"renderedValue": "60892728fdbc41bb105d764ffa8d2e9b5159ea44e47be6976ad49394e430c253"
},
"R5": {
"serializedValue": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20ee58555cee8121a5bf0798df73be1f7caf2705691e1468d43b5aa83b54c9453b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee58555cee8121a5bf0798df73be1f7caf2705691e1468d43b5aa83b54c9453b"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "aa2178887667833d6e22c7eaa9de983c67cd09c0cd87ee5f8aa941c519d0f029",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "97308b7e7be5fdab2e2c3928b8e780154efa941d991d5073a1d694f614c3db79",
"outputIndex": 1,
"outputGlobalIndex": 52774401,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20af9be4b54c10b4151f47236c60bdef99301b741f0e67e58c39551eb49ad5b260",
"sigmaType": "Coll[SByte]",
"renderedValue": "af9be4b54c10b4151f47236c60bdef99301b741f0e67e58c39551eb49ad5b260"
},
"R5": {
"serializedValue": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e206060d6bca546cbfe17a697b9126bf46cc3710887d7022476f8d94feee8f3da64",
"sigmaType": "Coll[SByte]",
"renderedValue": "6060d6bca546cbfe17a697b9126bf46cc3710887d7022476f8d94feee8f3da64"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "d562ae9a1bb5ce24dc52bc98395370197b3430a45f37fae6b8935ca10741b699",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "aac02fd6931d76aa2088f76387e895109ca2708164cfd6cace990180b163af3b",
"outputIndex": 1,
"outputGlobalIndex": 52774406,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e206570060bc65854e12327338c7c5d1311bbc5826a1831531226fb9c24e4c3131c",
"sigmaType": "Coll[SByte]",
"renderedValue": "6570060bc65854e12327338c7c5d1311bbc5826a1831531226fb9c24e4c3131c"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "9fe54b0dbc703a0e77e8343ea95873275066e75c51841be110e1819d681402f0",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "c6c6e4e296518270695e67f2283dfd05b931062cb4ec854507083ce10e12957e",
"outputIndex": 1,
"outputGlobalIndex": 52774411,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e2082231c5b27b19477cfe0b57ec323acfe7e022adf6311e759f4bf8e6e833656a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "82231c5b27b19477cfe0b57ec323acfe7e022adf6311e759f4bf8e6e833656a4"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "48ffd7beae44c3553fdf3aade1d77883b9e1bf7c130449e3b577de614c75dec3",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "df61c551471ed7e99596c8d7ebf623997939d1c9f2384afe4ce1acbf0ca3e3ee",
"outputIndex": 1,
"outputGlobalIndex": 52774416,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20714a72be20a3a4edc1d6485dca41b3901d3d48e2525ebaccaca7c75422f19c92",
"sigmaType": "Coll[SByte]",
"renderedValue": "714a72be20a3a4edc1d6485dca41b3901d3d48e2525ebaccaca7c75422f19c92"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "83afb2e81271820a79f90df1a115c801089f1288c400f78ad72d206f7296081f",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "f59ee84a83fd6a0e53372c219c0d3853ea58f3fabc8bdc90ede98e5026a8fd31",
"outputIndex": 1,
"outputGlobalIndex": 52774421,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20d8145e5fe023b3cb84be9a072e575ee244505e7461e5c636dd500fa96ea4715b",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8145e5fe023b3cb84be9a072e575ee244505e7461e5c636dd500fa96ea4715b"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "e798a7cba421376793345f1130a15c8141dd76285c9441a4882079bb7b88f347",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "03ee6a52fa232472a93695912f8f0bf2e10fb024d74397f54a7161adcc21697a",
"outputTransactionId": "16fc23e93625f8ea962ae481172027a4f6fdb684576ac72bbb679e7787d20cd0",
"outputIndex": 1,
"outputGlobalIndex": 52774426,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693452,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20d8aaa5f64cf6dc88ff5f12a6eddea4a88b088798677694f3f22e7d47f48695fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8aaa5f64cf6dc88ff5f12a6eddea4a88b088798677694f3f22e7d47f48695fa"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "8a37d2d430ca82c716bc0110b142ce0e305a9baed7fbe1e506589d2da89f1b4a",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "aff9be6e3cf5e895a1944140df0290d8b43686dfd24a1426ba53ae3f1a6f7c86",
"outputTransactionId": "b6991665cc2948c6eafddcc6f3649fe5950451d96eaef35c986e9c01bcafb115",
"outputIndex": 1,
"outputGlobalIndex": 52774516,
"outputCreatedAt": 1693453,
"outputSettledAt": 1693454,
"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": "0e20aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231",
"sigmaType": "Coll[SByte]",
"renderedValue": "aae8613e140f9094952317bd8d54b7893dc0a860565fa235f94f40be28fcb231"
},
"R6": {
"serializedValue": "0e20afed6346fa81efc864b55a24befb4c6615b5769b30e138950e9134f7c62a8cdd",
"sigmaType": "Coll[SByte]",
"renderedValue": "afed6346fa81efc864b55a24befb4c6615b5769b30e138950e9134f7c62a8cdd"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "2079f8433b762ec4995768575ea8c0b6297b55d6380b878b89ea5cef5980f895",
"value": 2980000000,
"index": 12,
"spendingProof": "369945eada31c74ac0ae037516d5035c82c8adcfa1140840b7f48a39c3e0982fc3ac72aec399e94e7a4123f2b9b26345c5a0ae8387834988",
"outputBlockId": "26e9fc366ee49a26b22b2e436ccff017f806775117b0312cb6db943177ab49ec",
"outputTransactionId": "d0d4c473357b7b79fefe83ffee2da6cb4a79a8c0eee8fe9600a93d0c8d3a4080",
"outputIndex": 2,
"outputGlobalIndex": 52774362,
"outputCreatedAt": 1693450,
"outputSettledAt": 1693451,
"ergoTree": "0008cd0362a54d8b30d1dc2040ff312afa2303b03cdb143e706af4b23662aeae7dc4144f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(62a54d,f13835,...)))}",
"address": "9hDFTrXp777AxnBb7akNGLS7RFuCm8CpTmPETNv8xPCimQw3kWc",
"assets": [
{
"tokenId": "738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936",
"index": 0,
"amount": 1,
"name": "WID-5a936-mQw3kWc",
"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": "2167b6af9c66f53d49bdaffbb1b009c92a29ecf5d2c6aac07365ba57fba3dddd",
"value": 1100000,
"index": 1,
"outputBlockId": "d63057d945aa6fe463bc444c1affdf7798a978faca2c02afacd758f450372792",
"outputTransactionId": "11a691647f1b352df80d26c9cad0f0e0485758ed1d6ccff0d69b13f85d4b0a44",
"outputIndex": 0,
"ergoTree": "1026040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf721294891150555010104020402040604060404040404000404040204000e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d8730502040604000400040a0502050604000e20b725b697b441266d9a1e29b2291d6d1373041adb7d4f8b0eb6b2f614eb33557904080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0c426974636f696e52756e6573",
"sigmaType": "Coll[SByte]",
"renderedValue": "426974636f696e52756e6573"
},
"R5": {
"serializedValue": "051e",
"sigmaType": "SLong",
"renderedValue": "15"
}
}
}
],
"outputs": [
{
"boxId": "50978e0e86b2fa4908020cf88da93cb7950636530c38477eec29f64515d7258c",
"transactionId": "243b5b36e45d1326fb1dd7d080873ab60a319b20650fe12b973fac050f63449c",
"blockId": "249ba5f36a671d57b30d50cac2e331541a6c7a90a44c657ab2cf3800f4b33687",
"value": 24000000,
"index": 0,
"globalIndex": 52774699,
"creationHeight": 1693455,
"settlementHeight": 1693456,
"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": 36000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207f33d7a18e8cb64e611705aa2a7b2ad5382b67162086a37e005eaf3c4cebe40d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f33d7a18e8cb64e611705aa2a7b2ad5382b67162086a37e005eaf3c4cebe40d"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[32653030393665393434333063313465306565343939653631373839373732353034653437626335353561616238663336386131376339326635636166636636,626974636f696e2d72756e6573,657468657265756d,626f783a386636373630376139623565616562623262316536663430653931643266343139393432643232306363323130663930616233656631333165633564646134662e31,307830343238373766396463396432313732383232366333663836343363346538363731656562323363,000003d1e3821000,000002e17467eb31,000000e963303755,3834303030303a3431,307830643735303062613432613534386563366335386330353933383835313539363731323034306661,30303030303030303030303030303030303030313231373732356533363432663031616631323633326630303633633933356632326432363163333238383033,00000000000e34e3]"
},
"R6": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
},
"R7": {
"serializedValue": "0418",
"sigmaType": "SInt",
"renderedValue": "12"
}
},
"spentTransactionId": "1799bf31bf87669606422d68b90538441d1989942a639d0fca02ddf9982eface",
"mainChain": true
},
{
"boxId": "b73be836f134b756dfacb25722fd7ea925af31527a2302702f70b70faa8ad6a2",
"transactionId": "243b5b36e45d1326fb1dd7d080873ab60a319b20650fe12b973fac050f63449c",
"blockId": "249ba5f36a671d57b30d50cac2e331541a6c7a90a44c657ab2cf3800f4b33687",
"value": 2978000000,
"index": 1,
"globalIndex": 52774700,
"creationHeight": 1693455,
"settlementHeight": 1693456,
"ergoTree": "0008cd0362a54d8b30d1dc2040ff312afa2303b03cdb143e706af4b23662aeae7dc4144f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(62a54d,f13835,...)))}",
"address": "9hDFTrXp777AxnBb7akNGLS7RFuCm8CpTmPETNv8xPCimQw3kWc",
"assets": [
{
"tokenId": "738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936",
"index": 0,
"amount": 1,
"name": "WID-5a936-mQw3kWc",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "489d838fe06eaac8180c26ab46ada943b4c1b1d87bcccde2d5a0ae07cbef5c7d",
"transactionId": "243b5b36e45d1326fb1dd7d080873ab60a319b20650fe12b973fac050f63449c",
"blockId": "249ba5f36a671d57b30d50cac2e331541a6c7a90a44c657ab2cf3800f4b33687",
"value": 2000000,
"index": 2,
"globalIndex": 52774701,
"creationHeight": 1693455,
"settlementHeight": 1693456,
"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": "836abb6a69e4ac26603f5630af9cabb86c0f627f9e46b58ecfbcde22153cb352",
"mainChain": true
}
],
"size": 1624,
"isUnconfirmed": false
}