Transaction
ID: 89d7a36de4...2ba1
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.178 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.176 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 159,427
Total coins transferred: 0.188 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000135 ERG
Raw Transaction Data
{
"id": "89d7a36de4e0a9ca7fc444005e3937c0e52492b54fdda71a8b58287445082ba1",
"blockId": "d87fd18e451af115680df2947bbbafb11a03312893c0b7d61c17750abda60d6f",
"inclusionHeight": 1616742,
"timestamp": 1758368127358,
"index": 1,
"globalIndex": 9501677,
"numConfirmations": 159427,
"inputs": [
{
"boxId": "f343e06b15f1f8260dc60b31a400bf34a14966dab4668b4c9444cd0822215c9e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8dab8784513790e97646fb7ca8e153983ed521f81a43aaafe4ad71ddb2665531",
"outputTransactionId": "c6617720c8a9a47102d94a61dfee4418630931ba4f838f5611b320f7dd5ff1dc",
"outputIndex": 1,
"outputGlobalIndex": 50364980,
"outputCreatedAt": 1616734,
"outputSettledAt": 1616737,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-29,50,-88,-41,62,101,47,-94,55,90,8,-18,81,102,117,88,-124,-89,-70,-59,-75,-77,-51,45,-12,116,116,119,-80,72,-43,-17)\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(106,84,50,97,69,-49,-19,-13,112,121,84,-56,-29,-67,93,-125,-11,74,81,-17,84,46,59,-3,90,-55,47,-76,-58,124,-113,50)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d32b3ab76f7ea61f1c4b50c425a4bcf2bbd34f61ed41a1b4ae368690402c627b",
"sigmaType": "Coll[SByte]",
"renderedValue": "d32b3ab76f7ea61f1c4b50c425a4bcf2bbd34f61ed41a1b4ae368690402c627b"
},
"R5": {
"serializedValue": "0e20b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83"
},
"R6": {
"serializedValue": "0e20a65f06e3c268c91ea7da482b0516e73c01748757937e33cac83916d50efe23d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "a65f06e3c268c91ea7da482b0516e73c01748757937e33cac83916d50efe23d0"
},
"R7": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
}
}
},
{
"boxId": "91232d3811516dd0ece71b59844ab7ac0ad3714c60de70f94f55c466d73801d1",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b6a7f1fc5d6e02933efc7a120ec110aa48547ab3e1c94c6b365f76b1356dec19",
"outputTransactionId": "154eb0d5e416c2a585f5b98256e8f94cfe5a3dad432686e11df8b3594c1a7f2c",
"outputIndex": 1,
"outputGlobalIndex": 50364990,
"outputCreatedAt": 1616734,
"outputSettledAt": 1616738,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-29,50,-88,-41,62,101,47,-94,55,90,8,-18,81,102,117,88,-124,-89,-70,-59,-75,-77,-51,45,-12,116,116,119,-80,72,-43,-17)\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(106,84,50,97,69,-49,-19,-13,112,121,84,-56,-29,-67,93,-125,-11,74,81,-17,84,46,59,-3,90,-55,47,-76,-58,124,-113,50)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2009bb05052f4517376cd7774fcb68ebc873cb4e709f9288dbb167f66240f8a132",
"sigmaType": "Coll[SByte]",
"renderedValue": "09bb05052f4517376cd7774fcb68ebc873cb4e709f9288dbb167f66240f8a132"
},
"R5": {
"serializedValue": "0e20b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83"
},
"R6": {
"serializedValue": "0e209350cf37572c9ded4ef5d1aad32717934caea209710840c30645d5d0cf898dbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "9350cf37572c9ded4ef5d1aad32717934caea209710840c30645d5d0cf898dbd"
},
"R7": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
}
}
},
{
"boxId": "de85e9d14e12f76ac3b00a1cfaf8112a4f50eb4c136f0a961e9155133f6d38c0",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "b6a7f1fc5d6e02933efc7a120ec110aa48547ab3e1c94c6b365f76b1356dec19",
"outputTransactionId": "f68523789a5b10b44085ce4fd1ca01c906b05e5bff6e98a3440b2bf0d0a51e85",
"outputIndex": 1,
"outputGlobalIndex": 50364994,
"outputCreatedAt": 1616734,
"outputSettledAt": 1616738,
"ergoTree": "102404000e20e332a8d73e652fa2375a08ee5166755884a7bac5b5b3cd2df4747477b048d5ef040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e206a54326145cfedf3707954c8e3bd5d83f54a51ef542e3bfd5ac92fb4c67c8f3204000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-29,50,-88,-41,62,101,47,-94,55,90,8,-18,81,102,117,88,-124,-89,-70,-59,-75,-77,-51,45,-12,116,116,119,-80,72,-43,-17)\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(106,84,50,97,69,-49,-19,-13,112,121,84,-56,-29,-67,93,-125,-11,74,81,-17,84,46,59,-3,90,-55,47,-76,-58,124,-113,50)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d90272e46af72a2d084f804a50b1e727dcc5f695615f6df2eb54348d9564e862",
"sigmaType": "Coll[SByte]",
"renderedValue": "d90272e46af72a2d084f804a50b1e727dcc5f695615f6df2eb54348d9564e862"
},
"R5": {
"serializedValue": "0e20b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83"
},
"R6": {
"serializedValue": "0e2026c604b10a83e1393103529fb5829adc894eea463161fd721601d5c12e7624d9",
"sigmaType": "Coll[SByte]",
"renderedValue": "26c604b10a83e1393103529fb5829adc894eea463161fd721601d5c12e7624d9"
},
"R7": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
}
}
},
{
"boxId": "eccd8f568796bf14dc10d1eca7eb404305e5e20095257a6eee64923d9e5c4456",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "1a2a4af2f64dffe698d81e898aca84b58b01d7ef3d83fb59f4444255ee0dbb1b",
"outputTransactionId": "65d3bbf08762aeb6103244c31ec3b9420704de8e5be27bb4bdeada4251e442aa",
"outputIndex": 1,
"outputGlobalIndex": 50365062,
"outputCreatedAt": 1616736,
"outputSettledAt": 1616739,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-29,50,-88,-41,62,101,47,-94,55,90,8,-18,81,102,117,88,-124,-89,-70,-59,-75,-77,-51,45,-12,116,116,119,-80,72,-43,-17)\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(106,84,50,97,69,-49,-19,-13,112,121,84,-56,-29,-67,93,-125,-11,74,81,-17,84,46,59,-3,90,-55,47,-76,-58,124,-113,50)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f6c9d684884b2c0f8cb169b1839fab2a8c9ddea601c36ced1e1b3559a6099aaf",
"sigmaType": "Coll[SByte]",
"renderedValue": "f6c9d684884b2c0f8cb169b1839fab2a8c9ddea601c36ced1e1b3559a6099aaf"
},
"R5": {
"serializedValue": "0e20b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83"
},
"R6": {
"serializedValue": "0e2045d3b3c06143fce5e15c6997bd47ec41449a27862b38ccf06ca59d59ab502c47",
"sigmaType": "Coll[SByte]",
"renderedValue": "45d3b3c06143fce5e15c6997bd47ec41449a27862b38ccf06ca59d59ab502c47"
},
"R7": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
}
}
},
{
"boxId": "0906034bf1a5155750c14a356229a5750d37f164dd553afc7919c638c88ab24b",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "1a2a4af2f64dffe698d81e898aca84b58b01d7ef3d83fb59f4444255ee0dbb1b",
"outputTransactionId": "b7bc7a96ada56370cfeac1fff05b00e998374e6379871106c9893493a41e8b81",
"outputIndex": 1,
"outputGlobalIndex": 50365066,
"outputCreatedAt": 1616736,
"outputSettledAt": 1616739,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-29,50,-88,-41,62,101,47,-94,55,90,8,-18,81,102,117,88,-124,-89,-70,-59,-75,-77,-51,45,-12,116,116,119,-80,72,-43,-17)\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(106,84,50,97,69,-49,-19,-13,112,121,84,-56,-29,-67,93,-125,-11,74,81,-17,84,46,59,-3,90,-55,47,-76,-58,124,-113,50)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 1000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2034d54b94b19cc2aa7dc8ab9f1a628b06f1794a1f1ae49bf3159b439f08cb7ab0",
"sigmaType": "Coll[SByte]",
"renderedValue": "34d54b94b19cc2aa7dc8ab9f1a628b06f1794a1f1ae49bf3159b439f08cb7ab0"
},
"R5": {
"serializedValue": "0e20b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0a6c8453b5bea3020e0bb39e37232bfef7ae0815f70b33ad08da31c29e84f83"
},
"R6": {
"serializedValue": "0e20d6e21ab51c3d9237233635d7108f3b2266149382f60adac6b97d7dae654c8a34",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6e21ab51c3d9237233635d7108f3b2266149382f60adac6b97d7dae654c8a34"
},
"R7": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
}
}
},
{
"boxId": "e027eb3e98a3a811820f129bff23b3d4e93c3ab414ccc28d72274b4153158153",
"value": 178000000,
"index": 5,
"spendingProof": "cbc07553d3e9d6ba0166cfac56e20bcc758ab120bb7d52f84987a79b3a88f08572c4cadcefeb1492e9298016d32311ce3993c51ae8586c57",
"outputBlockId": "8dab8784513790e97646fb7ca8e153983ed521f81a43aaafe4ad71ddb2665531",
"outputTransactionId": "c6617720c8a9a47102d94a61dfee4418630931ba4f838f5611b320f7dd5ff1dc",
"outputIndex": 2,
"outputGlobalIndex": 50364981,
"outputCreatedAt": 1616734,
"outputSettledAt": 1616737,
"ergoTree": "0008cd02db3a876f58abe47b943a38dfc261cf7a41d356f88d0a4a665eb8618a325166ad",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(db3a87,39b410,...)))}",
"address": "9gBcR65SXnZ4urqa6ZcJ6QuiFqQy7M9oQqLjUhtRVYkVSYskhD8",
"assets": [
{
"tokenId": "d32b3ab76f7ea61f1c4b50c425a4bcf2bbd34f61ed41a1b4ae368690402c627b",
"index": 0,
"amount": 3,
"name": "WID-c627b-SYskhD8",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "22b2597de352566a2de2d2029f080d1f9ca67509bca81316b91ba7555df51fd9",
"value": 1100000,
"index": 0,
"outputBlockId": "4e7ec4301670d9465a1276703be97ad86b6c79ef025081b6ea3ce1861caba66c",
"outputTransactionId": "cc3b1fa089c1f632ff833298debc1f7618385e3f9bfb0339987963c339fa3076",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "33a2a3b73caa2b2c509d6a9eb4acef86e2a359aae4cd3b9865d3fb9c84d45533",
"value": 1100000,
"index": 1,
"outputBlockId": "4efd0972ce1406f769a1f5dec821af02c85202e1109ba33bbcb3404283806824",
"outputTransactionId": "8bab2b47120804610f27e268aaf248b3b53221ea40cf53e75b0fa8a5ebceb711",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0d626974636f696e5f72756e6573",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e5f72756e6573"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "a327e1b25d26d4b2b2fc9b41b5fec26ad158bc08088d3f32a322dea74f44da6b",
"transactionId": "89d7a36de4e0a9ca7fc444005e3937c0e52492b54fdda71a8b58287445082ba1",
"blockId": "d87fd18e451af115680df2947bbbafb11a03312893c0b7d61c17750abda60d6f",
"value": 10000000,
"index": 0,
"globalIndex": 50365141,
"creationHeight": 1616741,
"settlementHeight": 1616742,
"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(103,-30,106,-109,112,22,74,3,-38,-84,44,-111,67,126,116,97,112,98,-101,120,-20,-54,23,1,-23,-49,110,92,-56,123,50,95)\n10: 1\n11: 0\n12: Coll(-77,123,-109,-31,11,-34,-20,94,-4,22,55,29,2,108,26,28,37,-115,-75,-8,74,38,108,-61,108,-12,48,-39,113,95,73,7)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e696c5bdb88536d6ab5fed1d501d82920971ed221af7e0ae09848dd1491683e5",
"index": 0,
"amount": 5000,
"name": "RosenBitcoinRunesRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2096cdcd3c02147b843ca7964d9b047f6b1ab6fb7028d79b3c3ec6e79d9cb95ebf",
"sigmaType": "Coll[SByte]",
"renderedValue": "96cdcd3c02147b843ca7964d9b047f6b1ab6fb7028d79b3c3ec6e79d9cb95ebf"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[62613962643065396338346232373433333133643362376633343737376539646162303638386663383566613963636538636262333430663864303666666362,626974636f696e2d72756e6573,63617264616e6f,626f783a626533636665383937303735373964623531663030366233336464633534396439346130623264326164616637333461623532633861376162613235626132632e32,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,0000000000002710,00000000000003e8,00000000000007d0,3838303838373a33303532,65383639396630396639393333363633363365323335346137353230373730646564353964323366356165616164363731376537333631342e37323730366535323530346634333532,30303030303030303030303030303030303030313063633431323330656237613833386636613664653230376563336437383865656562346165363363363139,00000000000df87c]"
},
"R6": {
"serializedValue": "0e201e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38",
"sigmaType": "Coll[SByte]",
"renderedValue": "1e6e0ee2aa686d62ffa04d1dc14c68d01256cbbebe76433ddd3599e5857bed38"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "b92290844d7a53c8c7ca11fe82fd239c40a5d685d3065423ea1ecbee0ccf475c",
"mainChain": true
},
{
"boxId": "489a4b70b1792eaecace54e668d3f1d2655d42f22870e1627811051d3a258368",
"transactionId": "89d7a36de4e0a9ca7fc444005e3937c0e52492b54fdda71a8b58287445082ba1",
"blockId": "d87fd18e451af115680df2947bbbafb11a03312893c0b7d61c17750abda60d6f",
"value": 176000000,
"index": 1,
"globalIndex": 50365142,
"creationHeight": 1616741,
"settlementHeight": 1616742,
"ergoTree": "0008cd02db3a876f58abe47b943a38dfc261cf7a41d356f88d0a4a665eb8618a325166ad",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(db3a87,39b410,...)))}",
"address": "9gBcR65SXnZ4urqa6ZcJ6QuiFqQy7M9oQqLjUhtRVYkVSYskhD8",
"assets": [
{
"tokenId": "d32b3ab76f7ea61f1c4b50c425a4bcf2bbd34f61ed41a1b4ae368690402c627b",
"index": 0,
"amount": 3,
"name": "WID-c627b-SYskhD8",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1fcef44e6477985789b16edab9b6cc1992d6de7f69889f8570ed166ae0057a7f",
"mainChain": true
},
{
"boxId": "e476fd7fa0f244938be46b509f22d77771664e455e4f4e06f468e96817315c63",
"transactionId": "89d7a36de4e0a9ca7fc444005e3937c0e52492b54fdda71a8b58287445082ba1",
"blockId": "d87fd18e451af115680df2947bbbafb11a03312893c0b7d61c17750abda60d6f",
"value": 2000000,
"index": 2,
"globalIndex": 50365143,
"creationHeight": 1616741,
"settlementHeight": 1616742,
"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": "d4526b23ba57463e2f750bf240497bdc54ffc7167234de9ab2b84800fd38b943",
"mainChain": true
}
],
"size": 1482,
"isUnconfirmed": false
}