Transaction
ID: 76e9cc31d4...1117
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
1
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
900
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
6
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 622,676
Total coins transferred: 0.0121 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000603 ERG
Raw Transaction Data
{
"id": "76e9cc31d47ce97d76092cc9d6d0f7d05bb34f1e2ae071b01753f8774e291117",
"blockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"inclusionHeight": 1136510,
"timestamp": 1700221268688,
"index": 10,
"globalIndex": 6131800,
"numConfirmations": 622676,
"inputs": [
{
"boxId": "e58dce68b3628b33887d1a6436b0281d000410b6c30d54e0a8d009a770501df3",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "efea2052fd219ef8f9467545a215da5d31ae8886629c0cf3b889f6e4b82fea9d",
"outputTransactionId": "23c6aa9f5336336bde33c1e76b2f8a4c0030373ca33f367fcd2efd7c0c0cb172",
"outputIndex": 1,
"outputGlobalIndex": 34344367,
"outputCreatedAt": 1136498,
"outputSettledAt": 1136500,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376]"
},
"R5": {
"serializedValue": "1a0120e4111a2d0f28a42e0dc44e444668bd810a52cd814235f4ef978b56488f89cea9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e4111a2d0f28a42e0dc44e444668bd810a52cd814235f4ef978b56488f89cea9]"
},
"R6": {
"serializedValue": "0e20974622ae9718fce2e3f95f6bb81f3ef2f2c66456d5082897881fd46a60e918be",
"sigmaType": "Coll[SByte]",
"renderedValue": "974622ae9718fce2e3f95f6bb81f3ef2f2c66456d5082897881fd46a60e918be"
},
"R7": {
"serializedValue": "0e20df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5"
}
}
},
{
"boxId": "cbf202816a1d2adaa951796fa982feb2d0129a75834fa49fd6d8bc3ff042b18f",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "efea2052fd219ef8f9467545a215da5d31ae8886629c0cf3b889f6e4b82fea9d",
"outputTransactionId": "0103c23d60f22bb8807e7d0dba603b0c5cd95fd9fe0791cec96c44140a3d59b6",
"outputIndex": 1,
"outputGlobalIndex": 34344371,
"outputCreatedAt": 1136496,
"outputSettledAt": 1136500,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[SByte]",
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"index": 2,
"spendingProof": null,
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"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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e4111a2d0f28a42e0dc44e444668bd810a52cd814235f4ef978b56488f89cea9]"
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"R6": {
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
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"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "efea2052fd219ef8f9467545a215da5d31ae8886629c0cf3b889f6e4b82fea9d",
"outputTransactionId": "8ea872b04ebb41279110a5666c5584694391d94563bc8dd10594b3d615b5c822",
"outputIndex": 1,
"outputGlobalIndex": 34344379,
"outputCreatedAt": 1136496,
"outputSettledAt": 1136500,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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],
"additionalRegisters": {
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"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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
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"index": 0,
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
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"value": 1100000,
"index": 5,
"spendingProof": null,
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"outputTransactionId": "d7dbdfd3a714379b5ed85eb3182672d8b1c0e327fd0a421966e81b26ad4f6b0a",
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"ergoTree": "101f04000e208822e07cf3335e42f40e1cdbfbc02e3b1ef62fa85b13c982282acadb5265020a0400020004020400040004000400040004000400040604040402050205c8010400040004000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e30402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
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"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"name": "eRWT-loen",
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"index": 7,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-120,34,-32,124,-13,51,94,66,-12,14,28,-37,-5,-64,46,59,30,-10,47,-88,91,19,-55,-126,40,42,-54,-37,82,101,2,10)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: 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)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120648e596f85eff17ac596e8949c077351d0191a0ce8af91546f2f742c57fed862",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[648e596f85eff17ac596e8949c077351d0191a0ce8af91546f2f742c57fed862]"
},
"R5": {
"serializedValue": "1a0120e4111a2d0f28a42e0dc44e444668bd810a52cd814235f4ef978b56488f89cea9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e4111a2d0f28a42e0dc44e444668bd810a52cd814235f4ef978b56488f89cea9]"
},
"R6": {
"serializedValue": "0e206bfa43bb8d5f4cab73c76f6d4659566f626ea9d61482dc1537bf380a09d4a755",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bfa43bb8d5f4cab73c76f6d4659566f626ea9d61482dc1537bf380a09d4a755"
},
"R7": {
"serializedValue": "0e20df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5"
}
}
},
{
"boxId": "427425f16ace94b29c1b87a7c7f2291aca69b00b4efa25e9384dcd2466a5c9e9",
"value": 1100000,
"index": 9,
"spendingProof": "8d38b634d90cfa991d5ce09307ee0bb49998d2f23b779cdc37881fb54fa320ea0dbe9866f5dbcaaec4e9944e74849b815d347f52d2c22809",
"outputBlockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"outputTransactionId": "4d167991fc2a1e43ffd0c70cefe9cb0efc3ee5594fca0c2f6fc95148778c4eb6",
"outputIndex": 1,
"outputGlobalIndex": 34345220,
"outputCreatedAt": 1136508,
"outputSettledAt": 1136510,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 5328,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "19908da4193d1dc023453cfb0276b08251392578387e840f476745544d64864a",
"value": 1100000,
"index": 10,
"spendingProof": "501fad7d7ea5d922b01108c6c55716f3fdebb9d7710be9ba5ccf0900b4b0a772b486b6ef8f7d91281f7c5c3e5763d91ac1726a58819d3212",
"outputBlockId": "d98f46ff9cae7959b22997bad96e6b5339b059078abdc7e7498dbd44c76f5d1d",
"outputTransactionId": "b40491950c3a5b6fabc1e16db2487463fea4886b9251e2889d4875f9466c9522",
"outputIndex": 3,
"outputGlobalIndex": 34344058,
"outputCreatedAt": 1136493,
"outputSettledAt": 1136495,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 888,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "f5e36658655f5770313dd69ae3c3a3f5fa569030fb1cf9774420fc6adb9727c7",
"value": 1100000,
"index": 0,
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"outputTransactionId": "927c47e96909d619542ebdb4557699a026757889e26bcab8fc048290d473eaf7",
"outputIndex": 0,
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},
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"R6": {
"serializedValue": "1106c09a0c8c01020a80d0dbc3f4028084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000,70,1,5,50000000000,100000000]"
},
"R7": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
}
}
],
"outputs": [
{
"boxId": "0ad648f1d33e310c1b14318c374900b838cfd828fba7fee8bc36f41c126de7d2",
"transactionId": "76e9cc31d47ce97d76092cc9d6d0f7d05bb34f1e2ae071b01753f8774e291117",
"blockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"value": 9900000,
"index": 0,
"globalIndex": 34345222,
"creationHeight": 1136508,
"settlementHeight": 1136510,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-89,-76,32,59,120,-40,78,-124,-88,-57,48,-26,96,19,103,-29,-35,-7,58,24,66,91,-44,53,-58,71,-114,-5,-28,79,-20,84)\n7: 1\n8: 0\n9: 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)\n10: 7200\n11: 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 coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVcHoh4iza7Gw8rnoBFVjvMNAdCgaTCqewApGRZCcvzwPSN4kj8myhb2TVcbGP9jd3yyTaetsDdnqvUwXxdnywZSxFSC4uKgy4EhHGesWquZiSbN6LSLcrXQNL8dJxNGDQpaNXzEtvMTckytebfQwvDs8G3kSV8N36NF7YzJeTvSBgg4ruGkmtosNNZ8BPgf56xRgBgZ7hUXEYKM8K6egcVjwGL8ab26sFnXGtWgQgNuULhMD6K8nxPFfVxqiCBAyQHRUDfV6u8o36YEkAQm6czJVFjkVojj47DXL5qL3Af6msFPNWQWvSDF1T8pyok3YLS31t14LpEX97CtEZTYDUzZ3Tfvmjbk94HDrN5dSNRzHZLzuZgBCi5GpxBppZN6TvorRgtiBW4GZn75wCX4mYsY4so91sSTgge17TzJzjuDX9",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 900000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376,f862fac848a53ec304cce627333413c80c63018c9728689ae63784ff133ad522,129a7d756ebb65945d7543ef9291c0ac141476adb766c1a966d3d66e180a23ce,39b4e1000a80e27d901b680c04d39be2a89febafdf47749bf0d8e2fc548c28cb,d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251,7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2,c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b83977720,4dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a7,648e596f85eff17ac596e8949c077351d0191a0ce8af91546f2f742c57fed862]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30626530303565346666376662313632396666386634313936393063616430626136316565363330376531623932383061663264626532663265303534656436,6572676f,63617264616e6f,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,0000000000d83921,000000000067c475,0000000000245190,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,616461,34313333653033326663306635396365316139656237373935653732636462626261663333343563623762623534383561626164656338343339303665323335,000000000011576a]"
},
"R6": {
"serializedValue": "0e20df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5"
}
},
"spentTransactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
"mainChain": true
},
{
"boxId": "d64b800d61bde83a40a33cf92f230f9ba693eb256fb8b833ef70b0fd934b94b1",
"transactionId": "76e9cc31d47ce97d76092cc9d6d0f7d05bb34f1e2ae071b01753f8774e291117",
"blockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"value": 1100000,
"index": 1,
"globalIndex": 34345223,
"creationHeight": 1136508,
"settlementHeight": 1136510,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 6216,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "aa528efae59d42a9d21f7741288851a68a7f9e9ee6af7669bac8ad0c778b4841",
"mainChain": true
},
{
"boxId": "ee44e99a3df264e7ff7d56f1c8bc346f545793081e27294081e9bda7e601dea4",
"transactionId": "76e9cc31d47ce97d76092cc9d6d0f7d05bb34f1e2ae071b01753f8774e291117",
"blockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"value": 1100000,
"index": 2,
"globalIndex": 34345224,
"creationHeight": 1136508,
"settlementHeight": 1136510,
"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": "64eee6188f8c672e627caf1d9c08539ed5c6bacd09cd02e9214307a3cfb2df12",
"mainChain": true
}
],
"size": 1823,
"isUnconfirmed": false
}