Transaction
ID: c07a681aee...a3c1
Inputs (9)
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:
1.08 ERG
Tokens:
10,002
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.016 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.08 ERG
Tokens:
10,002
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 558,292
Total coins transferred: 1.1 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001316 ERG
Raw Transaction Data
{
"id": "c07a681aeeda3eb2e99bdae7261b9b9b89f7ce8a2415b189c0ed50db9343a3c1",
"blockId": "5d679318904e480be7ed0f39b09ce89aeb804fa0f6e056cc8982b6f9f3f3be5a",
"inclusionHeight": 1208404,
"timestamp": 1708935148218,
"index": 27,
"globalIndex": 6693150,
"numConfirmations": 558292,
"inputs": [
{
"boxId": "13d02cc9ad2b331449ece7fe8265ae75dca3b15ec0b49b6fc1636c454a175d0b",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "318342db8c0042dd7a589ac3c1c86d721010d9885dcf492e3c4cf8045fa19c2f",
"outputIndex": 1,
"outputGlobalIndex": 37195019,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e202f2a1bb6f43757936d43a58fc50d8ec0cac93452727d7b27d7e8eb4077948581",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f2a1bb6f43757936d43a58fc50d8ec0cac93452727d7b27d7e8eb4077948581"
},
"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
},
"R6": {
"serializedValue": "0e209f1a3f86f431283660deac5a14328ed343d4baa3e4911a7319087cf02f248d61",
"sigmaType": "Coll[SByte]",
"renderedValue": "9f1a3f86f431283660deac5a14328ed343d4baa3e4911a7319087cf02f248d61"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
}
}
},
{
"boxId": "b2332594b270b0af377aa86e6c934e892059ec7c76d3168e652a136a97452b7d",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "5fe2c46efb3fc4cc42c066fc2acba2f9f24eb8013716a23ee87f49d462134a18",
"outputIndex": 1,
"outputGlobalIndex": 37195023,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e2060ccaafe74ddf339a60868586586ed51545e7c8ff8cea4a993c3d74e1c089aab",
"sigmaType": "Coll[SByte]",
"renderedValue": "60ccaafe74ddf339a60868586586ed51545e7c8ff8cea4a993c3d74e1c089aab"
},
"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
},
"R6": {
"serializedValue": "0e203d3fa2227f30e37723b24fb204d710a1001188459707b819b2179c4edb55366e",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d3fa2227f30e37723b24fb204d710a1001188459707b819b2179c4edb55366e"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
}
}
},
{
"boxId": "a709d37b50e347ae28cebf0fb53abfd9aad564c00b7c2037d31aab137b7048ed",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "646521b54d2343351c72d2f1d8dcaed81f7080ef8af6899532ee12d9da5e32fc",
"outputIndex": 1,
"outputGlobalIndex": 37195027,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e20c0288035f0b8e155f6df6ec0ef2f5fc409162eb37fe2dbd72a82d3cc10c0ae03",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0288035f0b8e155f6df6ec0ef2f5fc409162eb37fe2dbd72a82d3cc10c0ae03"
},
"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
},
"R6": {
"serializedValue": "0e201cdcc268fd744c50c985213b4bae8257f92529b9a4807cdbf2e9c86d4ea32861",
"sigmaType": "Coll[SByte]",
"renderedValue": "1cdcc268fd744c50c985213b4bae8257f92529b9a4807cdbf2e9c86d4ea32861"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
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},
{
"boxId": "e69aa87a940ab34e78a3b8d843f104198c925b5dbc9389dffe2b9fd253efee72",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "979edc3eb66871be179d3ae7fed4f3269acdcab6cf77223a2beb9de5dd45e11a",
"outputIndex": 1,
"outputGlobalIndex": 37195031,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "5ivrmzxYZbVxtgvXyVRQmjQ6QsX35LrLv3NCn7GucHVXVumFXA7ujZ9LqXaDxxPY7jJerzkxyuuDRQ6daTwwCxvUGfRYZUM7zCNvYVzmSfcavoqWhy4PJPEBvFASBjEC2iNKsBp35SofGvpmThFpbnszaJ2krc9uoyARPdB6N9bRW2H5xsoskidoNBRWLxTcaJHYFmNt7b73Pi2vsZTYEwVK5z7y3TNF6uFEyt8s24jez13sSH6iZVyY3YCAqBSUY6rtycM7M1fiftsEEjw4dfBSK7EKtpkv7NB7CXGFGdnZt3XwLMQztD5d3yEEbtBYqAWGApvGYjruTG427M9Gey3bHHCJYaJwAqKEvBt246WWT88GLHa1FN7zm4pnLVNfjyCBgK2guXZAVohpWzkJYURjP9HQn3cs7Z275x2D7dNGuweo3F22LAR4ASZLr8zK7aSoPXqkbLCMsZRnuGgakH2FSxS4Xy1Lr34hEsEXF58GNUyrGqRSvmArG9CAFwqAk4f1rL9E2b8Py1nQ5cJSk1ZPN9gBizSBqBMRs5xadZoxGjz2R1ukYcYzmRrV6UFs1LRh8LK6HWWkpVwjFkeTdaqKRC5WzoPJpx2nELXXYgiUG3r9U3peWmr46D8y7ckMJdNTzGxqY8XBXv6op6Udp3QKVzGkgBg2SDTGxX5wAZ1Jg6FoCH4B3dZN3gqWpvT6mL3cZQXCzhGo9EWP68aP1Lab69F8hiNcJu5t26KBGvxtmbU8nR6yGtpPvLPJeyMQTycVFSEvkHCgXNDUfXZFcZuCs2R3sEz8n7Xbs7uKNBxKSoHczPXrHKuV6JmmZWXzzBQrd1XQ2SoVrrGSoe9BDs36ayQgEjUw8w6rfr2uRC1bYDCoVrRmnzdcPmWnapeH2xZTNTn8d6Bkb5BCuuG6yBjmdDywjpxLyHeBqzhCj5TnqrGoP5CfAMJmC38Rd5Eaj5iRniu2UFC19sgHhQ1B65if3vSdzjphNEaUgYwxNirB2zbKKX83Qb1qYgfp9Dkggto5qxERgjxBpd4U88wJHAQdJXaovQwBTVzsmFijSKm3ME2rFNuvSWBcBSZbrTexoXJS63Ydexx7XP9HMH4pVu1W4LYHRxcaP4SFemNs2kq2ucm7em1sg2K8grzRCT6WiC6byxE2HL9cdtkwQTbfrwuhgCgCZov3GgWyceApugyKP7FGtFV8MsAHjx4avxSUy2ZFwG8qEAH2Du3Qv7F35fz8oTYMdmbJf4uMjAYtwDDCfhi775EjSWApWx8umULRAgpA3KRYXsNAP2AucSR7Y",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fd9e1e34687fdb307dc310855bfb148361d7949ac22d74023d1afa5ef9e053f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "fd9e1e34687fdb307dc310855bfb148361d7949ac22d74023d1afa5ef9e053f3"
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"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
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"R6": {
"serializedValue": "0e20554f1a1524746d73374d65474a49da0a3cd58f8d9127b498cba1ad1b69bcc7e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "554f1a1524746d73374d65474a49da0a3cd58f8d9127b498cba1ad1b69bcc7e1"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
}
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},
{
"boxId": "ddac8d73e958e3bb66a58e45cc9f78783b5a366fda427fcd7429998b69c9bc0f",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "a3d601a2e95cc795d3ded3536c991bb86090f81bb730e75b879ad2294e029e95",
"outputIndex": 1,
"outputGlobalIndex": 37195035,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e20a1f1881d30a4939aa322821880cccfc4d191578d5a56f09b29d5d3784af48fec",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1f1881d30a4939aa322821880cccfc4d191578d5a56f09b29d5d3784af48fec"
},
"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
},
"R6": {
"serializedValue": "0e206d39e17fcfa941c629e1eee9b2053b3e09735578a123128802aef30eeb0fa427",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d39e17fcfa941c629e1eee9b2053b3e09735578a123128802aef30eeb0fa427"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
}
}
},
{
"boxId": "3505ac25459467604a45c7a5309e5d255132ed678b9f2c5c1c7bf25c2eae7a96",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "c593e48e83d761ff76603206912e8b0a96d0d9f1c6b20fd9933c2f3984b18391",
"outputIndex": 1,
"outputGlobalIndex": 37195039,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207fd24eac898ea5778d396a4beb9826a773961fa1c6180aedbf209a115bb71bc1",
"sigmaType": "Coll[SByte]",
"renderedValue": "7fd24eac898ea5778d396a4beb9826a773961fa1c6180aedbf209a115bb71bc1"
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"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
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"R6": {
"serializedValue": "0e20e0429228dfccba705b99438260f15985e3a9752e28de80cf5fc033c43d02e26c",
"sigmaType": "Coll[SByte]",
"renderedValue": "e0429228dfccba705b99438260f15985e3a9752e28de80cf5fc033c43d02e26c"
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"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
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{
"boxId": "329159c106278fa74346f61334ee185b9c10709496b78ff7eaef4c460c037641",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "d225e271b4998a6d41a7fed9d8aa1d4c9b5a6720d4f44c3140e6d16f342390f0",
"outputIndex": 1,
"outputGlobalIndex": 37195043,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e20371d9f7c4212ae5a22b9c104ab6cc1f7f6dd18116bdfed2f9046655cd13e2213",
"sigmaType": "Coll[SByte]",
"renderedValue": "371d9f7c4212ae5a22b9c104ab6cc1f7f6dd18116bdfed2f9046655cd13e2213"
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"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
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"R6": {
"serializedValue": "0e20dd6ea9dcd7aeaca8e42bdbcdd5062c84bc7cc9516825dce8279d14a0eaddd364",
"sigmaType": "Coll[SByte]",
"renderedValue": "dd6ea9dcd7aeaca8e42bdbcdd5062c84bc7cc9516825dce8279d14a0eaddd364"
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"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
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{
"boxId": "d4b779b0dc5c37623e53b208106eb8ad1d4761e1e11b329bd3ebb0be5562bb58",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "da4903ee379ec38736b3cc45060f004e78f18d28f0640c295abb6f0b0ad3fafd",
"outputTransactionId": "ea712d11a27ef0bebf0be922781cd0b4e3197ce0498a36a7e953bfbe9aafd98f",
"outputIndex": 1,
"outputGlobalIndex": 37195047,
"outputCreatedAt": 1207911,
"outputSettledAt": 1207916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(64,-114,11,-45,-35,-52,-7,-105,-104,57,104,-41,-103,-63,82,55,-70,-31,21,93,120,54,124,13,-103,-37,-41,-128,-18,-69,96,27)\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": "0e2060eba4651dcb404d2d00092f77b4d6c33cfbbe0b905ddd548c98c8887130981a",
"sigmaType": "Coll[SByte]",
"renderedValue": "60eba4651dcb404d2d00092f77b4d6c33cfbbe0b905ddd548c98c8887130981a"
},
"R5": {
"serializedValue": "0e20a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1bac34692459784c261dc7df45bfbff85faddba8402634696712b0c1205d897"
},
"R6": {
"serializedValue": "0e2019b3c2b2bcc54171f55e28c030ecc9d3735fabf64313ea5a00f79523401c225d",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b3c2b2bcc54171f55e28c030ecc9d3735fabf64313ea5a00f79523401c225d"
},
"R7": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
}
}
},
{
"boxId": "1b7bc6c8437d2f822f42d4dd526d613bdc6d127dc0443b1833a7389b0d7d18b4",
"value": 1084000000,
"index": 8,
"spendingProof": "ecf18875f8a6c128cdcf57aad4e5d64c5be66d9d0eef9754972f2b8c1acada284b7692503f0d32fb2bdea7d7e2aa9a063504ad156f92d06c",
"outputBlockId": "fa597f5691a1dd1fa8f126c92a23b7281b8f1c66db9dd092d55e0a057709fdef",
"outputTransactionId": "259e900fca84cccc02ec34507dd87a3f4c3fafeba6518e66e53ac7a9aecec534",
"outputIndex": 4,
"outputGlobalIndex": 37192597,
"outputCreatedAt": 1207874,
"outputSettledAt": 1207877,
"ergoTree": "0008cd030467e8dcb02d687b1f43da1c9dccea7e92affa6024a9bcd66e1ba74763210749",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(467e8d,1dadce,...)))}",
"address": "9gVkEXyFWKGkmJKqTVvy4Qmv3A2BSEhNjTUjYzjBKxorVvELWRu",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 10002000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "1305a7a48703456b1bc8c5191b02637566cae667b34bd9c19aa2f99509560d27",
"value": 1100000,
"index": 0,
"outputBlockId": "23b54a9b1ee8ee79c752cdb7ac47a337109cbfb273d798999b7a1f593bf4e3f6",
"outputTransactionId": "196a9d005aca1fd722613199ba29612e75b64da0972993bad2b64388d40441d5",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f8c01022880dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20,10000000,0]"
}
}
},
{
"boxId": "2395821a022f8b8cb54be4bb5d124ac2c6b7d7fd759c7f21912badc1e940e353",
"value": 2000000,
"index": 1,
"outputBlockId": "cb5b5de0f9c0fbe3c52491ee2e2b942b7bfaeeb05c2b651a6960cf4a5e6d5f39",
"outputTransactionId": "bc2e5df4ee19d275426bba74fc82d311604e7f2e23434ee022464f115c3fc2bf",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "0512",
"sigmaType": "SLong",
"renderedValue": "9"
}
}
}
],
"outputs": [
{
"boxId": "d72a3ca0b70a64740334197cdcd0e19c7f561f56faa3aaee62fba31b188827be",
"transactionId": "c07a681aeeda3eb2e99bdae7261b9b9b89f7ce8a2415b189c0ed50db9343a3c1",
"blockId": "5d679318904e480be7ed0f39b09ce89aeb804fa0f6e056cc8982b6f9f3f3be5a",
"value": 16000000,
"index": 0,
"globalIndex": 37214207,
"creationHeight": 1208401,
"settlementHeight": 1208404,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-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: 7200\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": 8000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a588560196d840472a79c9a8f2d00e931adb22fe51c5036c8e8dac9a483b0f36",
"sigmaType": "Coll[SByte]",
"renderedValue": "a588560196d840472a79c9a8f2d00e931adb22fe51c5036c8e8dac9a483b0f36"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39653862383532633737373730376231366533613861383332353734303766353161323132333365353461616564386630303533343332316135386635636634,6572676f,63617264616e6f,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,00000000012f5e49,00000000000776c9,0000000000029cc7,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,616461,63623065323533376335666264646133633965663361336335666365393130383335323462643861393939663064623730626239396231303038336630313963,0000000000126e61]"
},
"R6": {
"serializedValue": "0e20a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5b7418f7067e2f2d4e02548a0987b97838b740cb546c65e4d8846250e21c411"
},
"R7": {
"serializedValue": "0410",
"sigmaType": "SInt",
"renderedValue": "8"
}
},
"spentTransactionId": "1dac284aeb3c07ce8094a919c6e882ef65ce0c63a6ad0ebdceee40418e58df48",
"mainChain": true
},
{
"boxId": "260833f69d1c24a0950d478749eb34e545859d346af433a5833445efa6e4969e",
"transactionId": "c07a681aeeda3eb2e99bdae7261b9b9b89f7ce8a2415b189c0ed50db9343a3c1",
"blockId": "5d679318904e480be7ed0f39b09ce89aeb804fa0f6e056cc8982b6f9f3f3be5a",
"value": 1082000000,
"index": 1,
"globalIndex": 37214208,
"creationHeight": 1208401,
"settlementHeight": 1208404,
"ergoTree": "0008cd030467e8dcb02d687b1f43da1c9dccea7e92affa6024a9bcd66e1ba74763210749",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(467e8d,1dadce,...)))}",
"address": "9gVkEXyFWKGkmJKqTVvy4Qmv3A2BSEhNjTUjYzjBKxorVvELWRu",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 10002000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a019e593c6c6103167615e147b9f70e23a8a69e7c39425a9f0c89797ad4f6cc1",
"mainChain": true
},
{
"boxId": "64ddb4113461463a640b922d9ea98643e8890a31cabc336e18689453d9992468",
"transactionId": "c07a681aeeda3eb2e99bdae7261b9b9b89f7ce8a2415b189c0ed50db9343a3c1",
"blockId": "5d679318904e480be7ed0f39b09ce89aeb804fa0f6e056cc8982b6f9f3f3be5a",
"value": 2000000,
"index": 2,
"globalIndex": 37214209,
"creationHeight": 1208401,
"settlementHeight": 1208404,
"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": "5cc1879a7f12cf3732dc5ee266fb76ed06fb3b8ac0fcf4752968fb11d7fd580c",
"mainChain": true
}
],
"size": 1520,
"isUnconfirmed": false
}