Transaction
ID: b4c091759c...2802
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
6
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 406,707
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001211 ERG
Raw Transaction Data
{
"id": "b4c091759cf4b823324374a5054e5d1e3f74ca94ae8ce1ef2b3245e52acf2802",
"blockId": "1f92b5460b8047e7cd239dcc056cb95f3aaddb6042bab9c28897766f477cdab1",
"inclusionHeight": 1360759,
"timestamp": 1727378741866,
"index": 2,
"globalIndex": 7837776,
"numConfirmations": 406707,
"inputs": [
{
"boxId": "0f8d6ddfed9f376ed3d05d649b614dc83cbf9925a0ea85320a277a1ed8366b82",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "235a30f0e666b86c4e50bd3e94007d303435b2a7a6a6b33cb590602a0b503de5",
"outputIndex": 1,
"outputGlobalIndex": 42922806,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "102404000e201b8c4c252882655f70dffd603415e613b84dcc812f33e4c261a88a9325802314040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2099016d570b66c7188957cb72acbf131ab0be7611e011ba47c783a3c3f5773daf04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZVcpZ7DikV7xViLZ7TVNodh9sHncE5gvzdBV4FZ65cVCu6dqx36GciMV9XsQsN6pEPTTPhQZ9uhCD3XnFta5BwqXgrvT23hpryB2rQxDBw8mYXNQM1ypbuBEEoXQ7qUHWUSjhQyzcBK1wAVabiyHLtzGt2TNeg1ijnF2VHT2j1F4xv4Dui4hnazospSPbDtHnkoHJNgmHKpR3pDkgiE4Mcxo4U8yCLcWLL6Ao8z44mWhYisHPnLDNFpjL3VdTMEQzAQHW2rhGM65yNKUSFeUtAZzGTqogEhi3P365EFfMDY3BoDArK9Z4fPET59C4n1G1EEucvQadnYU81LBWyyZxhHc4BibGGQpPK8GP24wyfdUXyAAzVd6Ag14ERsqdAkuU4mbtNJEjsokpyHbsrt1yzirtH1uCTPugFCNsrAzgXMXFPmBUTsiDaWKLuFLqpxNVxaFcWjwN6s4mNmBo1Eg553PNsv5ukEKUDQB4qbD5dLsdtBuEdt3BRzs9yVGDhnxCfoWSDSQfB5TFJpG5QMj1pPTyPaEFGVeJKjCdV6uLDLByzzuAxrJRgzRW59EPKPSEn1sxkSMs9eVFWFa5Vkmt9SV81LMMC4rYuqa1hrEL6wDoJ4ey1cRVYHytz36R4hrNVku7u25aXdNAh9id5vB9XtVx2NDVGdDSEnrCLi1EoY3tTw8WRxodn8aDVhzgyKQpzPLvv9MBunJ3svMF7jG4XpqQiwHsxFRt32QhhR42xsyvk5i8BVZa8MveB8zYK7szDQzUe43CyU99EKawWA9VPKSMjqd7Yhkwd4AcmwmTBeaFF9jBMnpDo9rCbFAXjwiS9iociWsaTr36j2DqxP9LDed6Bo7tY4SxUAxUoBNqDbBr8xV6uwpDH8A4gjHMnJNfP8Kg9sVKzUi7hPfA7u1YG9WxcDyMxuG1pAzdwiRb1GRLg1frDNncsYEAJ6KqLnnkAcD1ejUhWLDV4JE6k5jW86K2Vt6opHVKyUwcq1HLXByneMmMXKgqGCWFseQs1cC2AhrRhbhWsqVR1xwijCX4HvDKSLsNuGdZBoP6zywbwpkTa65Tt9Kcp5DadG4pcQiwoTEgDLWM58H5BDkD7tgg2SEagpP8cKL54S18K7oJBSqmzXpij7EAfv4PBaKCLgMngM6iYZVgPxCvRE4CqCNqQ3SKtyjgLNXdaHFh59qvBVYovn9j32KvvrhKtbpM9EQXAf8PmbQFgVAFu6o4Z5PcGVCWmYGDTY5ufisrgbduKGVUEyyxuBTV24hsEeZJbVb51C9MKdEDT1yt",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5",
"sigmaType": "Coll[SByte]",
"renderedValue": "fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e2042bb81085bbf4b08334511f1bed72fa0455d7b85143ab9c6b5c1989cb389ac16",
"sigmaType": "Coll[SByte]",
"renderedValue": "42bb81085bbf4b08334511f1bed72fa0455d7b85143ab9c6b5c1989cb389ac16"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "41e87177c3225df5ccad92027f647e62f60da41848d15944e5e75b7d06c3b9ec",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "258c349fa815a30844d122808e3b4198a198a90db55af80c5453e0fabc5e4015",
"outputIndex": 1,
"outputGlobalIndex": 42922810,
"outputCreatedAt": 1360747,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203d95a7c12b5632c7bd76740b0bb9c09d2a7c9739a07266213a60c2211cbacc7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d95a7c12b5632c7bd76740b0bb9c09d2a7c9739a07266213a60c2211cbacc7d"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e202945e476da3ccad09b71f6b9b3d3e5dc9f94e59a75428f9471a706e1dcc769d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "2945e476da3ccad09b71f6b9b3d3e5dc9f94e59a75428f9471a706e1dcc769d0"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "1f59d866d890b1753ded5d668c0d41f570163b2d255674c8fe194fe3de6839ae",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "37c5c0b08e3bcb9696673e05be47546e1762d75c82ea726526a73fe11f49d79b",
"outputIndex": 1,
"outputGlobalIndex": 42922814,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e20b415211092392ed44a1fae8241d85aa6e5a5a9fe367d7e30e645f5a1e508b10d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b415211092392ed44a1fae8241d85aa6e5a5a9fe367d7e30e645f5a1e508b10d"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "fba7e8a2404e3f8968b72684736df83dfeb0da7120d1262e3615a70fe5c7efb6",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "3a1263254e55b90982938a0562a9048ce58bbcf1a56e32dc77a65b03c0f393bb",
"outputIndex": 1,
"outputGlobalIndex": 42922818,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ffc46d9a7737fbe13526d3b42d340c7818aaa6a9e49b484f333ae52f1dd382f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ffc46d9a7737fbe13526d3b42d340c7818aaa6a9e49b484f333ae52f1dd382f1"
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"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e20cb20131f25c2754110b8d8bdfc1876815fa7691582921927c0704107d724b94b",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb20131f25c2754110b8d8bdfc1876815fa7691582921927c0704107d724b94b"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "35a1502f8255f4eb4fb258e6a8d27159d51e89ff00cca22024ba584482ed84c3",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "3c67656d8f83b1aa0f1d211d87d9705771c154dc02770d78272b8bc748228f41",
"outputIndex": 1,
"outputGlobalIndex": 42922822,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208421fafc5639ed064eb727bfd55123f7cdd78eb5ea836b3d57aa0d5756f87c2f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8421fafc5639ed064eb727bfd55123f7cdd78eb5ea836b3d57aa0d5756f87c2f"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e209c1ed2f9d6eeab5a2f2ec4f77aa402a7b438076dcb8a6d14e9063388dd630f06",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c1ed2f9d6eeab5a2f2ec4f77aa402a7b438076dcb8a6d14e9063388dd630f06"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "0740ca6898d3c2de005c99553a0149d62dd146f348eda3adb1ff1ce5e1094ae8",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "612f8a95c043f617c5a6c562c74b69a25774178b597a56c295a2149e672300ff",
"outputIndex": 1,
"outputGlobalIndex": 42922826,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e20167bdca6c64711903bcf86a866734d51a921f7058ddc1cc4eda139b491243c27",
"sigmaType": "Coll[SByte]",
"renderedValue": "167bdca6c64711903bcf86a866734d51a921f7058ddc1cc4eda139b491243c27"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "f4a90331684a034e7d93cf61a0a2d729e84642e97a29c9a5b8102ec832f20f71",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "835f386881ed6902a6d90283eb1f1605c506d5f16e7233e7ee0d5278dce67dea",
"outputIndex": 1,
"outputGlobalIndex": 42922830,
"outputCreatedAt": 1360747,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6"
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"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e209a24be645a04120224794fe97ea8de8cb2f527c728925b80e93c405a7dc34cb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "9a24be645a04120224794fe97ea8de8cb2f527c728925b80e93c405a7dc34cb2"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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{
"boxId": "fdf28109b526f48bd9f45c1ea24a87421ab03f30982acf505a9678b28664ba1c",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "ae975426688915d12d36dd2c48e65008153c4ba14e071ab4ed0f77e57c42d2c0",
"outputIndex": 1,
"outputGlobalIndex": 42922834,
"outputCreatedAt": 1360747,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e2029a9bd86f41ede7e0c1498ef3101673449bb4f4789f4b77d1b0f7a3380eee136",
"sigmaType": "Coll[SByte]",
"renderedValue": "29a9bd86f41ede7e0c1498ef3101673449bb4f4789f4b77d1b0f7a3380eee136"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "219f5f595319c23bb8f8f73f0a971bf20805fe6dcc1169d8daa1f9caae2e33ba",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "be84e6a26ad7fab53911be5718a5f7ffdcf7967a611465ac25e6f9dbc8fbebb1",
"outputIndex": 1,
"outputGlobalIndex": 42922838,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "102404000e201b8c4c252882655f70dffd603415e613b84dcc812f33e4c261a88a9325802314040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2099016d570b66c7188957cb72acbf131ab0be7611e011ba47c783a3c3f5773daf04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZVcpZ7DikV7xViLZ7TVNodh9sHncE5gvzdBV4FZ65cVCu6dqx36GciMV9XsQsN6pEPTTPhQZ9uhCD3XnFta5BwqXgrvT23hpryB2rQxDBw8mYXNQM1ypbuBEEoXQ7qUHWUSjhQyzcBK1wAVabiyHLtzGt2TNeg1ijnF2VHT2j1F4xv4Dui4hnazospSPbDtHnkoHJNgmHKpR3pDkgiE4Mcxo4U8yCLcWLL6Ao8z44mWhYisHPnLDNFpjL3VdTMEQzAQHW2rhGM65yNKUSFeUtAZzGTqogEhi3P365EFfMDY3BoDArK9Z4fPET59C4n1G1EEucvQadnYU81LBWyyZxhHc4BibGGQpPK8GP24wyfdUXyAAzVd6Ag14ERsqdAkuU4mbtNJEjsokpyHbsrt1yzirtH1uCTPugFCNsrAzgXMXFPmBUTsiDaWKLuFLqpxNVxaFcWjwN6s4mNmBo1Eg553PNsv5ukEKUDQB4qbD5dLsdtBuEdt3BRzs9yVGDhnxCfoWSDSQfB5TFJpG5QMj1pPTyPaEFGVeJKjCdV6uLDLByzzuAxrJRgzRW59EPKPSEn1sxkSMs9eVFWFa5Vkmt9SV81LMMC4rYuqa1hrEL6wDoJ4ey1cRVYHytz36R4hrNVku7u25aXdNAh9id5vB9XtVx2NDVGdDSEnrCLi1EoY3tTw8WRxodn8aDVhzgyKQpzPLvv9MBunJ3svMF7jG4XpqQiwHsxFRt32QhhR42xsyvk5i8BVZa8MveB8zYK7szDQzUe43CyU99EKawWA9VPKSMjqd7Yhkwd4AcmwmTBeaFF9jBMnpDo9rCbFAXjwiS9iociWsaTr36j2DqxP9LDed6Bo7tY4SxUAxUoBNqDbBr8xV6uwpDH8A4gjHMnJNfP8Kg9sVKzUi7hPfA7u1YG9WxcDyMxuG1pAzdwiRb1GRLg1frDNncsYEAJ6KqLnnkAcD1ejUhWLDV4JE6k5jW86K2Vt6opHVKyUwcq1HLXByneMmMXKgqGCWFseQs1cC2AhrRhbhWsqVR1xwijCX4HvDKSLsNuGdZBoP6zywbwpkTa65Tt9Kcp5DadG4pcQiwoTEgDLWM58H5BDkD7tgg2SEagpP8cKL54S18K7oJBSqmzXpij7EAfv4PBaKCLgMngM6iYZVgPxCvRE4CqCNqQ3SKtyjgLNXdaHFh59qvBVYovn9j32KvvrhKtbpM9EQXAf8PmbQFgVAFu6o4Z5PcGVCWmYGDTY5ufisrgbduKGVUEyyxuBTV24hsEeZJbVb51C9MKdEDT1yt",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600",
"sigmaType": "Coll[SByte]",
"renderedValue": "df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600"
},
"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e20aa801ae83b8aa1ca2b03030792c1c5e07fb4665dc19ab9e8e1136b21b06046a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "aa801ae83b8aa1ca2b03030792c1c5e07fb4665dc19ab9e8e1136b21b06046a7"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "5f1e6fe13d5f595b038c7e71115f287ee61fd457e31f3314d314e3fb0ab6302c",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "4e47cdf3820545d382cfafe3afb637c9c4eb2457e9860e60ef54dfe983e64285",
"outputTransactionId": "bf1ef8c36770846f56e12b54708fc0b2a7b331c777f7dcaa06ee5b31a7b6d4fb",
"outputIndex": 1,
"outputGlobalIndex": 42922842,
"outputCreatedAt": 1360748,
"outputSettledAt": 1360750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\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(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c",
"sigmaType": "Coll[SByte]",
"renderedValue": "2299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c"
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"R5": {
"serializedValue": "0e2019104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86",
"sigmaType": "Coll[SByte]",
"renderedValue": "19104d213bae100ab79c2a8e3f4d9904313ae6466d64cf4403c3d8cae7e4af86"
},
"R6": {
"serializedValue": "0e2097a2da3ad4f361524a8ec0f63557802daa06eda713db0aca559941c34e7e49b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "97a2da3ad4f361524a8ec0f63557802daa06eda713db0aca559941c34e7e49b1"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "f364a40e132167183ad47f50d69a06085a290f8f6d45d6c7e63dfb87243c27d0",
"value": 2000000,
"index": 10,
"spendingProof": "625d43a08b14f2ce73ed30a2f491cd44160f32f9096c119658a2e19bbd45d6db6461626d5037f86ecbab1e8c42e93d85c5e1b4651bb11d75",
"outputBlockId": "3ce03a0f84a67a0a82e86e84e0a81c07796811b0487aa3ec28c72ec9eda26532",
"outputTransactionId": "214dcea13d375f6498f30718f75ae2d8ca0f753afb654d3558eb27e3fe787176",
"outputIndex": 1,
"outputGlobalIndex": 41314305,
"outputCreatedAt": 1303585,
"outputSettledAt": 1303588,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 5407,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "903bf38b3876e0b8bcdf98e7a64e59792dd5094e6f89f112230357300282f14b",
"value": 2000000,
"index": 11,
"spendingProof": "ad1da357e3d161feae9c54376fd3968dc7ecc4155b8d80be390107525ae2064ef1ebe094bfa3d174a4b35bd19c02ef00526b61b947f451d4",
"outputBlockId": "61334dffd289e42e5f472c77b5fdb38aa920494d5604191ed88a6022a3506259",
"outputTransactionId": "982b0b250290b8a816eaa2011cc17645bb7c08ecff84b167a2c0f2d9d35f1b64",
"outputIndex": 1,
"outputGlobalIndex": 41314529,
"outputCreatedAt": 1303594,
"outputSettledAt": 1303596,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 920,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6213522ee552e2e6e1884bc0418afb25957ff8c75e51ed593b8764d2c0bd3eed",
"value": 1100000,
"index": 0,
"outputBlockId": "5e75996c02d072d70a3b4a1e72d78d1f5d6f818486ba8770625a88b27507b439",
"outputTransactionId": "e59aafbe486e4076152f82ad52fe1dc182273619021e738758164d6406248ff3",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,0]"
}
}
},
{
"boxId": "b2e90228d9adc5bb52acd141cc37c07a402b40185d8a54f51946a7b0569a7888",
"value": 2000000,
"index": 1,
"outputBlockId": "40d049ad7c7c9633996b60d15c22e8b059bebec14be6ebdaf4bb9fedc7d8d1b0",
"outputTransactionId": "81831d9cae8610046612a0b9ec8ac05bf6bc91dafb780bce105fcc0d0df8b750",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "fbd49c5b4bca90b648c91c7fd88dbf6096b579ba1bee0ea1cac2c7d405f641e0",
"transactionId": "b4c091759cf4b823324374a5054e5d1e3f74ca94ae8ce1ef2b3245e52acf2802",
"blockId": "1f92b5460b8047e7cd239dcc056cb95f3aaddb6042bab9c28897766f477cdab1",
"value": 20000000,
"index": 0,
"globalIndex": 42923183,
"creationHeight": 1360756,
"settlementHeight": 1360759,
"ergoTree": "100f0400040004000400040004000400040004000e20fc9acd5e03d9d76ddc8a74c289a9aab2f0294948af6c462cb0c10ff365a6921e040204000e20eca2e0240bea93c5340cca325d1f1d7eea760ae44dbcf6bb3c2f35ca3329b33e04140e20c5a029f593a106e1594dda1e5435ae44b347fa4ddf8fa03ccd057afc28b7dd38d804d601e4c6a70704d602b4b5a5d9010263d801d604db63087202ed91b172047300938cb27204730100018cb2db6308a77302000173037201d603c2b2a5730400d604cb7203d19683040193b17202720193e4c6a7040ecbb0ad7202d9010563e4c67205040e830002d901053c0e0eb38c7205018c720502af7202d9010563eded93c272057203938cb2db63087205730500018cb2db6308a773060001938cb2db63087205730700029d8cb2db6308a7730800027e72010595937204730996830201938cb2db6308b2a4730a00730b0001730c9299a3730d8cc7a70196830201aea4d901056393cbc27205730e937204e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-4,-102,-51,94,3,-39,-41,109,-36,-118,116,-62,-119,-87,-86,-78,-16,41,73,72,-81,108,70,44,-80,-63,15,-13,101,-90,-110,30)\n10: 1\n11: 0\n12: Coll(-20,-94,-32,36,11,-22,-109,-59,52,12,-54,50,93,31,29,126,-22,118,10,-28,77,-68,-10,-69,60,47,53,-54,51,41,-77,62)\n13: 10\n14: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 10000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2013c4f2154e745c120c040598b52c2d63104265a05850c8feae60a271920ce2ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "13c4f2154e745c120c040598b52c2d63104265a05850c8feae60a271920ce2ae"
},
"R5": {
"serializedValue": "1a0c4037373264303635343339356566616533326230373865346235623161353664643431643832643439626363363236633135343462396162643834623064623961046572676f08657468657265756d33396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a7044632a307864373132326135316236643762376137386564613837393133333166613434376537646362643734080000000000003a9908000000000000271008000000000000138840376436666332346363366565363463663030373831373431633434636634343932356530316164333165323635663034356164646534616338636632636332312a307834356437396666613437313730393331323965633031613232643663343761333135323364616630403636353431636131643333303462356361623130393433363233613039363639303164313539326537303636663962376633396236306133323734373338373508000000000014c364",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37373264303635343339356566616533326230373865346235623161353664643431643832643439626363363236633135343462396162643834623064623961,6572676f,657468657265756d,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,307864373132326135316236643762376137386564613837393133333166613434376537646362643734,0000000000003a99,0000000000002710,0000000000001388,37643666633234636336656536346366303037383137343163343463663434393235653031616433316532363566303435616464653461633863663263633231,307834356437396666613437313730393331323965633031613232643663343761333135323364616630,36363534316361316433333034623563616231303934333632336130393636393031643135393265373036366639623766333962363061333237343733383735,000000000014c364]"
},
"R6": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "c729f706208c442105168d1ca0e7fcf8fb19bcf92f9290bf6d3dfa495e2a5701",
"mainChain": true
},
{
"boxId": "32db204f53f07201f92f2c4b37c4326a5629e4f5086dda192312b953d4d4ceb4",
"transactionId": "b4c091759cf4b823324374a5054e5d1e3f74ca94ae8ce1ef2b3245e52acf2802",
"blockId": "1f92b5460b8047e7cd239dcc056cb95f3aaddb6042bab9c28897766f477cdab1",
"value": 2000000,
"index": 1,
"globalIndex": 42923184,
"creationHeight": 1360756,
"settlementHeight": 1360759,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 6327,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c3070660e6db40d4731386a8350ff58d8a3590e19803694b532b84d7f8396f60",
"mainChain": true
},
{
"boxId": "1d4d10b6c228b630fb884114a4db21f17a24d824ca50332c450f4dbaf4ea07f5",
"transactionId": "b4c091759cf4b823324374a5054e5d1e3f74ca94ae8ce1ef2b3245e52acf2802",
"blockId": "1f92b5460b8047e7cd239dcc056cb95f3aaddb6042bab9c28897766f477cdab1",
"value": 2000000,
"index": 2,
"globalIndex": 42923185,
"creationHeight": 1360756,
"settlementHeight": 1360759,
"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": "a23432791cd5dedb3e3928adac700fe2c05cdd9b5a0e323111c504de053a94e8",
"mainChain": true
}
],
"size": 1652,
"isUnconfirmed": false
}