Transaction
ID: 9950df5a39...5e62
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
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:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 458,643
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001145 ERG
Raw Transaction Data
{
"id": "9950df5a39a1973607d5dc8e815fc2354b376a2ff99eb2ef91c1f95f6d1d5e62",
"blockId": "d264df4a579890bda740797fe6d20aaa53684cf309fa1ccaa32162640c2e998a",
"inclusionHeight": 1302760,
"timestamp": 1720348368363,
"index": 5,
"globalIndex": 7447479,
"numConfirmations": 458643,
"inputs": [
{
"boxId": "74802a26152e4c69f9c906d4f1f044b849bfe6b3c354d8e96d216260cbec0169",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "20ca0daefa2242128c29878e0e45e8687b5c52ffc9b96e8b19e1537385fe86f1",
"outputIndex": 1,
"outputGlobalIndex": 41292214,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c",
"sigmaType": "Coll[SByte]",
"renderedValue": "2299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c"
},
"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e203794df707f693613ead49b18578a7cec6bcab551b626445b9388d1e2300ad522",
"sigmaType": "Coll[SByte]",
"renderedValue": "3794df707f693613ead49b18578a7cec6bcab551b626445b9388d1e2300ad522"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "af6f0e413d79cfd24d0767875d2484f5663a91ef48fdf2911eaaed1bcd27dcd0",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "16d18b3140a49777ab58a58bccd8236a20f459123404449b62236f355d0e0a55",
"outputIndex": 1,
"outputGlobalIndex": 41292219,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20edc785ca126da0a55f0f94b599e27b712bdfcbefb69055102c05067f67c42fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "edc785ca126da0a55f0f94b599e27b712bdfcbefb69055102c05067f67c42fa2"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "4d2770d0472f7a00bf1bdaeff3083b73bf13d91a566231763eb9e1a1bf69a6bc",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "301f1f9c6d282ad192d426229a7bfee16c8be45a640345eaff5127628c1ea577",
"outputIndex": 1,
"outputGlobalIndex": 41292224,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20f963b48449512d83dcfed2a04479bf9fa4d0b7e64fcc82a4b12b4767097e5156",
"sigmaType": "Coll[SByte]",
"renderedValue": "f963b48449512d83dcfed2a04479bf9fa4d0b7e64fcc82a4b12b4767097e5156"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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}
},
{
"boxId": "a93ec76a9f9feb4c00a656139a6547cbac5fd0d14bef1152b1d623ab36fd264e",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "6eb227144a2b2971ba9100fe8f207137f58f50d3a8ffe3b8221779a3c9e1d772",
"outputIndex": 1,
"outputGlobalIndex": 41292229,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5",
"sigmaType": "Coll[SByte]",
"renderedValue": "fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5"
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"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20079d51d7239a96ec94741a78833526e29da677b828f6157eabb722af2071ead4",
"sigmaType": "Coll[SByte]",
"renderedValue": "079d51d7239a96ec94741a78833526e29da677b828f6157eabb722af2071ead4"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "b318050d873bcf581dff9d1d51f6f1ba094425a4c326c4a41db40904cdf482a5",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "8e7c9ae03f0c3ac7b9402f9693737638a8f35b6f9bb5b7ad2cb2b5ce0b5a061b",
"outputIndex": 1,
"outputGlobalIndex": 41292234,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20029ed869a6b79bff1c755c0b6ad945ad92af76e406de58cb98575f1e0eb3e4d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "029ed869a6b79bff1c755c0b6ad945ad92af76e406de58cb98575f1e0eb3e4d8"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "3c2a66b143ca645e159e8a609acadd666ae42a541dd367081715deae9f1bc424",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "c7d5d75fa2759f8edd9baf7296b000a6c662e687fdd2177754f44aec4141f8f8",
"outputIndex": 1,
"outputGlobalIndex": 41292239,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e2031f0c216d0b0ec6b633e18c3c0e5129fc3db9152bb0b7b2fda7a5b96f75f0555",
"sigmaType": "Coll[SByte]",
"renderedValue": "31f0c216d0b0ec6b633e18c3c0e5129fc3db9152bb0b7b2fda7a5b96f75f0555"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "8bd69247750f8e2cd6fe4c688ecf0a24c02bbac671ed1263a27bf884e4d5fcb0",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "c8ee3df370da0932269ca67381fe566692a74df2e0136a30c7a34e5040eeb36d",
"outputIndex": 1,
"outputGlobalIndex": 41292244,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e2041f1e67e970897e0070c5c0beb8f79be775f4a3adb84237b5cafbe58dc1d9450",
"sigmaType": "Coll[SByte]",
"renderedValue": "41f1e67e970897e0070c5c0beb8f79be775f4a3adb84237b5cafbe58dc1d9450"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "fd9823c112881836975100d637b8a3be0001cf9d7c72662654d4b14784327772",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "ca4528cbd80a8a2024c3e9a3378392f44f2efe3d5fe81d83f213151c3ab0c9f3",
"outputIndex": 1,
"outputGlobalIndex": 41292249,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6"
},
"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e208c1b5a98d45059b6da60659fd8b8fc7b52ac85477da662c0922b5afda4db5134",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c1b5a98d45059b6da60659fd8b8fc7b52ac85477da662c0922b5afda4db5134"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
}
},
{
"boxId": "3efdee74bcc8c09d50d4d67484d6cd015cf59a568388729798676af4ce22a9c9",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "d8643a70fa723520988e41248158b70c214cfbfb6ea193d8f1a8007ca8d453d1",
"outputIndex": 1,
"outputGlobalIndex": 41292254,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e209dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9"
},
"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20176001dd75255204ee97d32c69c675fdce9c55ac8eeeff74b3de4c86b0fc72f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "176001dd75255204ee97d32c69c675fdce9c55ac8eeeff74b3de4c86b0fc72f2"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
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},
{
"boxId": "a6deba95da91880446627fcdb6234639b6719c7ead04e302d8be185c3662d4a9",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "1b9f9c99de3508318f908c26dea2ac7c19d33346567d409026238c2e3d8a1b85",
"outputTransactionId": "ef3b0eeb9716e571d4b7d303dfdc3fbeadc70d27e4e740cb435f975ed8426e08",
"outputIndex": 1,
"outputGlobalIndex": 41292259,
"outputCreatedAt": 1302750,
"outputSettledAt": 1302752,
"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": "0e20df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600",
"sigmaType": "Coll[SByte]",
"renderedValue": "df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600"
},
"R5": {
"serializedValue": "0e20c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c9422990d6889b83057710a56e0b9440bae3f06c88b8448ce0426be01cf276c2"
},
"R6": {
"serializedValue": "0e20b3926828a0c94b020efe7ba46a17cb2b5263a3023fa043ad69ffdc02018f0bbf",
"sigmaType": "Coll[SByte]",
"renderedValue": "b3926828a0c94b020efe7ba46a17cb2b5263a3023fa043ad69ffdc02018f0bbf"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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},
{
"boxId": "c1876674ed01231d36504f6fa7927ed37581dacc86fc2f810d6f17efa6f187c8",
"value": 2000000,
"index": 10,
"spendingProof": "e22abb830716083ad872609d9a43c1ac2bc925b4645e957c28bae563855a986839f68f02bbecf72cd2aa5c17de360b95fead3830a63025d2",
"outputBlockId": "19ae3dd11e274c79913efd11569ec610c0a3d4fd6c2efec60f0cfb1dcef25659",
"outputTransactionId": "45653df7d0ee8ce6cd7c39ea367944850082bfe93badf0a798af26852e084bca",
"outputIndex": 3,
"outputGlobalIndex": 40706781,
"outputCreatedAt": 1283380,
"outputSettledAt": 1283383,
"ergoTree": "0008cd0376075f6a0b0f882d99bbac68dc948c3af9255d23d72f019ba435edc1be970e30",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(76075f,44c359,...)))}",
"address": "9hMnaX3RkNLyeEhGn6G3kQThQkveHfAk5WmATkVxbdDprY8eMkY",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 5000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8e4d75ec438b5f7818fe30de8eb4c38c6252a74f8faa047d971fd01b5121dbbe",
"value": 2000000,
"index": 11,
"spendingProof": "e7e38e5b147d1253e40da8f31114cdd7575030fe9bd7d6a3b85cf802ad573d4d89f1b849f92e4fbdbf7446aef236408fe1ff8ca051621712",
"outputBlockId": "91bd20c6f075a9ed5242d5f3df213bd18dd99125717d81a9632c9e3e9a82114f",
"outputTransactionId": "429fefe0df917879bddd40a9fbf8cf6f4a49ed9704333b48f3dcf60860216568",
"outputIndex": 3,
"outputGlobalIndex": 40370786,
"outputCreatedAt": 1273590,
"outputSettledAt": 1273592,
"ergoTree": "0008cd0376075f6a0b0f882d99bbac68dc948c3af9255d23d72f019ba435edc1be970e30",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(76075f,44c359,...)))}",
"address": "9hMnaX3RkNLyeEhGn6G3kQThQkveHfAk5WmATkVxbdDprY8eMkY",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 4607,
"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": "bb1bf7767503e310d1385e6b0daf568cb6ed19c887eaad046835e131825b02b6",
"value": 2000000,
"index": 1,
"outputBlockId": "97b4ec2010a059cb43316e0ae4545fd28cb002a305116c034de0709777860d35",
"outputTransactionId": "f69d82b9a586aad7d8fa5eb50654280101f0e17e2d43c4fa4281ab7234d5f5f1",
"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": "cfd3ff20b37f64cf78f593996cde70f18667398647e39cf21cdd42e8b84537e1",
"transactionId": "9950df5a39a1973607d5dc8e815fc2354b376a2ff99eb2ef91c1f95f6d1d5e62",
"blockId": "d264df4a579890bda740797fe6d20aaa53684cf309fa1ccaa32162640c2e998a",
"value": 20000000,
"index": 0,
"globalIndex": 41292389,
"creationHeight": 1302758,
"settlementHeight": 1302760,
"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": "0e2028913227be3273b9d004eb9a4195a65f4d2ebf69e3943c578839d7fce017c2f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "28913227be3273b9d004eb9a4195a65f4d2ebf69e3943c578839d7fce017c2f3"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61353965306563373734643166303161613761356562313030646139633765646264356433366138346534353064383531363632646531316634386464313763,6572676f,63617264616e6f,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,00000000004c4b40,00000000000186a0,0000000000001388,63646635343966636362623039616238663338656362663961356564333763393236373037373533616466386665643139623033393638346130373732626665,66636135386566386261396566313936316531333262363131646532663861626364326633343833316536313561366638306335626234382e3737373235323533346532643663366636353665,33613437316163656664636637663432656461376462336630633231303766393832343665653930376332313563343066326532326333626338633238333435,000000000013e0d5]"
},
"R6": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "8172d70ee6b87e0c575a87bc389defc6031274d8ba5979ba0e045cb4fcf28092",
"mainChain": true
},
{
"boxId": "8e1d4a9c3669fa0e1c3da824993b0473eaa4fe51942463c1c6fbb122f99e1c62",
"transactionId": "9950df5a39a1973607d5dc8e815fc2354b376a2ff99eb2ef91c1f95f6d1d5e62",
"blockId": "d264df4a579890bda740797fe6d20aaa53684cf309fa1ccaa32162640c2e998a",
"value": 2000000,
"index": 1,
"globalIndex": 41292390,
"creationHeight": 1302758,
"settlementHeight": 1302760,
"ergoTree": "0008cd0376075f6a0b0f882d99bbac68dc948c3af9255d23d72f019ba435edc1be970e30",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(76075f,44c359,...)))}",
"address": "9hMnaX3RkNLyeEhGn6G3kQThQkveHfAk5WmATkVxbdDprY8eMkY",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 9607,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "bd9e6b83dc840cfc5bb90db3aa93df29a477eb813d0d943d77010a9b9c682542",
"mainChain": true
},
{
"boxId": "1d613ec4a07b8a55596ea0dd339b8cdf34142daa862a3feb4bbbf1ed49249b62",
"transactionId": "9950df5a39a1973607d5dc8e815fc2354b376a2ff99eb2ef91c1f95f6d1d5e62",
"blockId": "d264df4a579890bda740797fe6d20aaa53684cf309fa1ccaa32162640c2e998a",
"value": 2000000,
"index": 2,
"globalIndex": 41292391,
"creationHeight": 1302758,
"settlementHeight": 1302760,
"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": "385fa8011af5c0d26c862cf10e6d7c1a6b7ff582a49669f7e9cd67953acafd25",
"mainChain": true
}
],
"size": 1747,
"isUnconfirmed": false
}