Transaction
ID: 977aa6355c...72bf
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 387,595
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000114 ERG
Raw Transaction Data
{
"id": "977aa6355ce72355ffaed7b80e618052adee79d33ef88dcf7b6938b2bfe172bf",
"blockId": "d5aaa75232e1b00d7fc731627d5bf4ef6fb1164a5f745ce78f5eee0d7b0d4e49",
"inclusionHeight": 1370714,
"timestamp": 1728586051996,
"index": 4,
"globalIndex": 7892264,
"numConfirmations": 387595,
"inputs": [
{
"boxId": "31786a2492f3548a7168e869f2f8539306d4b6cd286b3f02f8b38242d2ee4b03",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a1467f30e4e7dcbf6324af22f87bab08e7cc0799e2b2abc4984271276db93157",
"outputTransactionId": "c6c9ea31689e6abf00f72db4e75481b058050029d5ef040577b0536e36fe2ff0",
"outputIndex": 1,
"outputGlobalIndex": 43165404,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370706,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203d95a7c12b5632c7bd76740b0bb9c09d2a7c9739a07266213a60c2211cbacc7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d95a7c12b5632c7bd76740b0bb9c09d2a7c9739a07266213a60c2211cbacc7d"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e203e8a0890b18ca249391472fd66978dc3a957899f09e779348bf1c5827e355278",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e8a0890b18ca249391472fd66978dc3a957899f09e779348bf1c5827e355278"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "2452540a411bf0740fb460e2c0ed4807b1765964db86c46f81674affad11c9da",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "a1467f30e4e7dcbf6324af22f87bab08e7cc0799e2b2abc4984271276db93157",
"outputTransactionId": "efd1973c59a7fdbf790dd38eb87da5f4f684877f87e64257cc40c7a9663862f7",
"outputIndex": 1,
"outputGlobalIndex": 43165408,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370706,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600",
"sigmaType": "Coll[SByte]",
"renderedValue": "df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e20d87bf0943406ce95797a28c63f1e0aa7b9e0af4e1598996a9b050de73735796f",
"sigmaType": "Coll[SByte]",
"renderedValue": "d87bf0943406ce95797a28c63f1e0aa7b9e0af4e1598996a9b050de73735796f"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "25fe3bdb0c5e7b72794bdfe49734b7afbd9e760a1557a1dd3d513d18f95ecb1c",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "a1467f30e4e7dcbf6324af22f87bab08e7cc0799e2b2abc4984271276db93157",
"outputTransactionId": "393992b2131e5a1fee3a9a90bbe1c0f257b147e14d0bf2ce863c502ed7676da6",
"outputIndex": 1,
"outputGlobalIndex": 43165415,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370706,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZVcpZ7DikV7xViLZ7TVNodh9sHncE5gvzdBV4FZ65cVCu6dqx36GciMV9XsQsN6pEPTTPhQZ9uhCD3XnFta5BwqXgrvT23hpryB2rQxDBw8mYXNQM1ypbuBEEoXQ7qUHWUSjhQyzcBK1wAVabiyHLtzGt2TNeg1ijnF2VHT2j1F4xv4Dui4hnazospSPbDtHnkoHJNgmHKpR3pDkgiE4Mcxo4U8yCLcWLL6Ao8z44mWhYisHPnLDNFpjL3VdTMEQzAQHW2rhGM65yNKUSFeUtAZzGTqogEhi3P365EFfMDY3BoDArK9Z4fPET59C4n1G1EEucvQadnYU81LBWyyZxhHc4BibGGQpPK8GP24wyfdUXyAAzVd6Ag14ERsqdAkuU4mbtNJEjsokpyHbsrt1yzirtH1uCTPugFCNsrAzgXMXFPmBUTsiDaWKLuFLqpxNVxaFcWjwN6s4mNmBo1Eg553PNsv5ukEKUDQB4qbD5dLsdtBuEdt3BRzs9yVGDhnxCfoWSDSQfB5TFJpG5QMj1pPTyPaEFGVeJKjCdV6uLDLByzzuAxrJRgzRW59EPKPSEn1sxkSMs9eVFWFa5Vkmt9SV81LMMC4rYuqa1hrEL6wDoJ4ey1cRVYHytz36R4hrNVku7u25aXdNAh9id5vB9XtVx2NDVGdDSEnrCLi1EoY3tTw8WRxodn8aDVhzgyKQpzPLvv9MBunJ3svMF7jG4XpqQiwHsxFRt32QhhR42xsyvk5i8BVZa8MveB8zYK7szDQzUe43CyU99EKawWA9VPKSMjqd7Yhkwd4AcmwmTBeaFF9jBMnpDo9rCbFAXjwiS9iociWsaTr36j2DqxP9LDed6Bo7tY4SxUAxUoBNqDbBr8xV6uwpDH8A4gjHMnJNfP8Kg9sVKzUi7hPfA7u1YG9WxcDyMxuG1pAzdwiRb1GRLg1frDNncsYEAJ6KqLnnkAcD1ejUhWLDV4JE6k5jW86K2Vt6opHVKyUwcq1HLXByneMmMXKgqGCWFseQs1cC2AhrRhbhWsqVR1xwijCX4HvDKSLsNuGdZBoP6zywbwpkTa65Tt9Kcp5DadG4pcQiwoTEgDLWM58H5BDkD7tgg2SEagpP8cKL54S18K7oJBSqmzXpij7EAfv4PBaKCLgMngM6iYZVgPxCvRE4CqCNqQ3SKtyjgLNXdaHFh59qvBVYovn9j32KvvrhKtbpM9EQXAf8PmbQFgVAFu6o4Z5PcGVCWmYGDTY5ufisrgbduKGVUEyyxuBTV24hsEeZJbVb51C9MKdEDT1yt",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c",
"sigmaType": "Coll[SByte]",
"renderedValue": "2299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e20f276aae8a5d81b951bfd962e9b373b7a73f157da0cfa5522815ac0cc3d6860c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "f276aae8a5d81b951bfd962e9b373b7a73f157da0cfa5522815ac0cc3d6860c0"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "d3456ed09d906178e4ea1f568a1c5502b1b464b3de8ff3b42dc0cc81b00aa96a",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "c4872452042a02f4462a6c1137b559d015b5695ac2a2c072d5cebb34249b1f24",
"outputTransactionId": "452d0fa1b899a3c0853049f680394ce68489127dd0c7f5fafc83600c3c143130",
"outputIndex": 1,
"outputGlobalIndex": 43165433,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370707,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5",
"sigmaType": "Coll[SByte]",
"renderedValue": "fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5"
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"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e20a41c0fa628b54033427c3a6cec81000903a87a29e8667bf08031d225987c4a88",
"sigmaType": "Coll[SByte]",
"renderedValue": "a41c0fa628b54033427c3a6cec81000903a87a29e8667bf08031d225987c4a88"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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{
"boxId": "1db1eac4d297aa90bc7c9d13c149a3cd01d88ca3ef02cb19166a9eefe88085cb",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "c4872452042a02f4462a6c1137b559d015b5695ac2a2c072d5cebb34249b1f24",
"outputTransactionId": "48ca17fc5667258467888914ab06b559385234745599035d29ea33a2a0a6a9fc",
"outputIndex": 1,
"outputGlobalIndex": 43165437,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370707,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e20ab5e4ed1dac65d48d6dfc84b9f5fb7467a626b801832121515b643dd1335bf7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ab5e4ed1dac65d48d6dfc84b9f5fb7467a626b801832121515b643dd1335bf7d"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "57baa0025f40212b545aae5fd2331a06a7b0fe1e231a9ac3d2bc2dfe00e3fa6c",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "c4872452042a02f4462a6c1137b559d015b5695ac2a2c072d5cebb34249b1f24",
"outputTransactionId": "7014442570ff7326f857e913b67eec5e1b87fac80a614b38e38fc5dbaaaaf2d8",
"outputIndex": 1,
"outputGlobalIndex": 43165441,
"outputCreatedAt": 1370704,
"outputSettledAt": 1370707,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208421fafc5639ed064eb727bfd55123f7cdd78eb5ea836b3d57aa0d5756f87c2f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8421fafc5639ed064eb727bfd55123f7cdd78eb5ea836b3d57aa0d5756f87c2f"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e2080025c741449a34597f314ff91b1b37b968a2d0b9d395114f2d21e7701d57cad",
"sigmaType": "Coll[SByte]",
"renderedValue": "80025c741449a34597f314ff91b1b37b968a2d0b9d395114f2d21e7701d57cad"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "7ad896dfc618721c066d63a74f1006c1c8c444154f7c2ac4412abc5fa92a5b74",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "c4872452042a02f4462a6c1137b559d015b5695ac2a2c072d5cebb34249b1f24",
"outputTransactionId": "d0081f06b307ef745f90b78f5c1475cef17b3cd10635096dfa1c24f62baf893c",
"outputIndex": 1,
"outputGlobalIndex": 43165445,
"outputCreatedAt": 1370705,
"outputSettledAt": 1370707,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ffc46d9a7737fbe13526d3b42d340c7818aaa6a9e49b484f333ae52f1dd382f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ffc46d9a7737fbe13526d3b42d340c7818aaa6a9e49b484f333ae52f1dd382f1"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e2061007fd5f9a41f4c81e9f55956c85f780d4ed82a7f2c5e3fbc6b649489617d43",
"sigmaType": "Coll[SByte]",
"renderedValue": "61007fd5f9a41f4c81e9f55956c85f780d4ed82a7f2c5e3fbc6b649489617d43"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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}
},
{
"boxId": "f1afe2192f89353be9f50c3fcb35276b184b41065c13ed14250925299c45269c",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "5d80b1c8c17919a2102bdafa90d18cb0f6421fc1d02ca958c42146f71dc893d8",
"outputTransactionId": "aece7f9dac6a343004d25ab37a5d6d7e2fa67dbf8ce677f1d567abbfe0dc2583",
"outputIndex": 1,
"outputGlobalIndex": 43165456,
"outputCreatedAt": 1370705,
"outputSettledAt": 1370708,
"ergoTree": "102404000e201b8c4c252882655f70dffd603415e613b84dcc812f33e4c261a88a9325802314040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2099016d570b66c7188957cb72acbf131ab0be7611e011ba47c783a3c3f5773daf04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e20dfe87519639d376061042f6bd9bec9bfbb03fc4b92aa41a5ece480d4b18dcbb8",
"sigmaType": "Coll[SByte]",
"renderedValue": "dfe87519639d376061042f6bd9bec9bfbb03fc4b92aa41a5ece480d4b18dcbb8"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "7dfcd67d5fca09b4762f13b9db2d6db0cb325f299c76a7491b87d495607f4b84",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "21f98d4660a0edc5053349c7831609acb34dcd451641d3201721e61155093be8",
"outputTransactionId": "b447f745a337ec38e084aab64d39c190e94bdaba92a8d4958ffbbf6264d7b78e",
"outputIndex": 1,
"outputGlobalIndex": 43165478,
"outputCreatedAt": 1370705,
"outputSettledAt": 1370709,
"ergoTree": "102404000e201b8c4c252882655f70dffd603415e613b84dcc812f33e4c261a88a9325802314040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2099016d570b66c7188957cb72acbf131ab0be7611e011ba47c783a3c3f5773daf04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e2014d5901610afe9bd03c14849caa8aef2174d9206e608ad0d1cb116d1ef67f4fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "14d5901610afe9bd03c14849caa8aef2174d9206e608ad0d1cb116d1ef67f4fb"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "49cc8400a93dd181b9624d1adfd1a40cf58a5752aedad26a5adc70d4c9c5d88d",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "21f98d4660a0edc5053349c7831609acb34dcd451641d3201721e61155093be8",
"outputTransactionId": "e0a85bea39a84ff00710b8b6df5e3a91b9d1fbcecfea0fa4fffd3e836eee0826",
"outputIndex": 1,
"outputGlobalIndex": 43165482,
"outputCreatedAt": 1370705,
"outputSettledAt": 1370709,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
},
"R5": {
"serializedValue": "0e20639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17",
"sigmaType": "Coll[SByte]",
"renderedValue": "639975f5e66905de57f78a3ba40e9ac4bbe08ad8398c6538fb453111d6a85a17"
},
"R6": {
"serializedValue": "0e2060f7c9afd9a443235c4639d06f9da83ded4fe6525793c9a84eb9ccf0aedd2de8",
"sigmaType": "Coll[SByte]",
"renderedValue": "60f7c9afd9a443235c4639d06f9da83ded4fe6525793c9a84eb9ccf0aedd2de8"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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}
},
{
"boxId": "cafe5a6a9289ee4cacdaef76b2a4f2c87017d3ce992a1eb56bc82a86eb217867",
"value": 2000000,
"index": 10,
"spendingProof": "36e2d61961460e9083ed6be0b4fc2b18c8ea793909653f892b666b6c1c5f05d8d8e2bb447fb72f56c1dd7cd5f35db543dd3dc7ddfff847dc",
"outputBlockId": "d7fbb9b9610848ae337941378ada52b65b4609dd4a82351d6bb47469a75a0191",
"outputTransactionId": "1707e317f15aa9b35ffe2b0de22ccdbbbdf6a6cc5d6ce9f17199bca29c9b347d",
"outputIndex": 3,
"outputGlobalIndex": 41615297,
"outputCreatedAt": 1313489,
"outputSettledAt": 1313491,
"ergoTree": "0008cd02c00bb11a37fa3af48914e6344a2bdef3f19dbe06b90f4125273d859651ee2083",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c00bb1,fc6b20,...)))}",
"address": "9fye4fMNUw9F3fC4tBwPWFFTeje2kiaqC66QihG9sr1qeiF5BPN",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 400,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "04683a4f1b402d5326b073d93e5d532b39c589bde3909726d3a38888e514ed32",
"value": 2000000,
"index": 11,
"spendingProof": "8e70bfc6e5f62637df42a5f4f2c6798cec20680c8d4c901ddc82b0d53df782933051453ce01f5153282b6455f6172a08ad9c2c2b047ab3e2",
"outputBlockId": "d667343cd06b013978db89d5d9c880697e34b8aa74df9839d854347ac704af5c",
"outputTransactionId": "1f5cc4e82f02a23b057bda6361efe94836d7531530cdfca8761352f0b8dfa52c",
"outputIndex": 3,
"outputGlobalIndex": 41651875,
"outputCreatedAt": 1314225,
"outputSettledAt": 1314227,
"ergoTree": "0008cd02c00bb11a37fa3af48914e6344a2bdef3f19dbe06b90f4125273d859651ee2083",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c00bb1,fc6b20,...)))}",
"address": "9fye4fMNUw9F3fC4tBwPWFFTeje2kiaqC66QihG9sr1qeiF5BPN",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6213522ee552e2e6e1884bc0418afb25957ff8c75e51ed593b8764d2c0bd3eed",
"value": 1100000,
"index": 0,
"outputBlockId": "5e75996c02d072d70a3b4a1e72d78d1f5d6f818486ba8770625a88b27507b439",
"outputTransactionId": "e59aafbe486e4076152f82ad52fe1dc182273619021e738758164d6406248ff3",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,0]"
}
}
},
{
"boxId": "a5f53ffcb5a1f8038deecc0726dd53b6d2b4a497a001d43f9d537ca801772ea1",
"value": 2000000,
"index": 1,
"outputBlockId": "a42d99473229cd89bc6a6db98551fc56769dce4c5692e33b50d93276ca94c449",
"outputTransactionId": "d44fcc20c5bf7d411c6c86c507c5fa28044bcb2527eb0e1492902d0c28c55c5a",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "6f872e2ff01d2482ef3b69748fbe1fa4887fc61ae1d244db4a637416d901db81",
"transactionId": "977aa6355ce72355ffaed7b80e618052adee79d33ef88dcf7b6938b2bfe172bf",
"blockId": "d5aaa75232e1b00d7fc731627d5bf4ef6fb1164a5f745ce78f5eee0d7b0d4e49",
"value": 20000000,
"index": 0,
"globalIndex": 43165589,
"creationHeight": 1370712,
"settlementHeight": 1370714,
"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: 10\n14: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 10000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201621639ef8da5990c188dca95eb5f45239e0b26cb15f6b0c7f23059636fed130",
"sigmaType": "Coll[SByte]",
"renderedValue": "1621639ef8da5990c188dca95eb5f45239e0b26cb15f6b0c7f23059636fed130"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35376663363164653866633336353032363766656462373337343965663464633439383665646135333138336463353364366165366233633438343734366438,6572676f,63617264616e6f,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,0000000003938700,00000000000927c0,0000000000000001,37323039393164373966643638306132623132356130373036343533613033656633343034623462666638613539633161343565386261363964316638366138,33313232353431343836633938336436333765376564393333306339346534393065316665346131373538373235666162376636643965302e37323733343436313534366636623635366532643663366636353665,64613438353336323633396334356466353961666539653033343562663537656266373334366134336439396433636262306239336331653664636366333432,000000000014ea4a]"
},
"R6": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "9af7b0a905f65b092fd8d9c278bdf8f4ffc1117eb6659d66a1b8ac76312946fc",
"mainChain": true
},
{
"boxId": "b1b68af8cb3d68ad6f10e5aead99e2d8ce98cdce92cab8cd3a98a9136e53398f",
"transactionId": "977aa6355ce72355ffaed7b80e618052adee79d33ef88dcf7b6938b2bfe172bf",
"blockId": "d5aaa75232e1b00d7fc731627d5bf4ef6fb1164a5f745ce78f5eee0d7b0d4e49",
"value": 2000000,
"index": 1,
"globalIndex": 43165590,
"creationHeight": 1370712,
"settlementHeight": 1370714,
"ergoTree": "0008cd02c00bb11a37fa3af48914e6344a2bdef3f19dbe06b90f4125273d859651ee2083",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c00bb1,fc6b20,...)))}",
"address": "9fye4fMNUw9F3fC4tBwPWFFTeje2kiaqC66QihG9sr1qeiF5BPN",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 4400,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "d9dc8a4165bff91c35388f1b3ded56df6aea132ff9e40b76e9d8c83a4eaa0678",
"mainChain": true
},
{
"boxId": "5b7dfc8566ecf77e6f8b2ea891bc997024bc4c203717716f1028b780ff015c80",
"transactionId": "977aa6355ce72355ffaed7b80e618052adee79d33ef88dcf7b6938b2bfe172bf",
"blockId": "d5aaa75232e1b00d7fc731627d5bf4ef6fb1164a5f745ce78f5eee0d7b0d4e49",
"value": 2000000,
"index": 2,
"globalIndex": 43165591,
"creationHeight": 1370712,
"settlementHeight": 1370714,
"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": "0ddf68895c5d6db7186a40882e2ea7c53cc7d3c9a01144db5652e62d1b44ef85",
"mainChain": true
}
],
"size": 1755,
"isUnconfirmed": false
}