Transaction
ID: a278a4daf4...1feb
Inputs (13)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Outputs (15)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00575 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00215 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Transaction Details
Confirmations: 922,576
Total coins transferred: 0.022 ERG
Fees: 0.0021 ERG
Fees per byte: 0.000000249 ERG
Raw Transaction Data
{
"id": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"inclusionHeight": 836905,
"timestamp": 1662985724963,
"index": 7,
"globalIndex": 3993753,
"numConfirmations": 922576,
"inputs": [
{
"boxId": "535caf23ffef4f84633c39b44bf6170adc486ba21c862361a75a9de6b8204f22",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"outputTransactionId": "e64de4b6aa283edf7c0d628df787a00ce430a8116b244d5461f10d8334221254",
"outputIndex": 0,
"outputGlobalIndex": 21534140,
"outputCreatedAt": 836898,
"outputSettledAt": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n4: 0\n5: 0\n6: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "12bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f",
"index": 0,
"amount": 1,
"name": "Paideia Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 6763006,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110494aac5efa41bc80116b895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[468805266058,100,11,271230300]"
}
}
},
{
"boxId": "2025a0d5bce8c840fd756f66a492bd46e2a34c951beb8b6c094645e71a777461",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "a08d2334a8d7fb417585a07a090dd1e3c3501c812291d14cb918200c19e103d7",
"outputTransactionId": "e5c836a3a210d57bcb6219aee123c1721dbd2c34471a7816b4f8854549f89c36",
"outputIndex": 7,
"outputGlobalIndex": 21488580,
"outputCreatedAt": 836259,
"outputSettledAt": 836272,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 136197752,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c8019a8c85e4a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1654338396941]"
},
"R5": {
"serializedValue": "0e209a5dd1f7345d867afa68e8dbac6cf3a2e9ae57f3cd2d138d248c93adca45181e",
"sigmaType": "Coll[SByte]",
"renderedValue": "9a5dd1f7345d867afa68e8dbac6cf3a2e9ae57f3cd2d138d248c93adca45181e"
}
}
},
{
"boxId": "1594415da29873682615ebb87ae738664fa03ad0dcb1f48a45d01611655e8f04",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "0873d8dc922e1e7b8c802bee599cdfa13e010fe7f96dfb473383548ac68b6189",
"outputTransactionId": "06956e015067ee365eac75056103387c2dcba34182283ee02e2b5c484ab4592f",
"outputIndex": 1,
"outputGlobalIndex": 21514890,
"outputCreatedAt": 836603,
"outputSettledAt": 836605,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1903021689,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801d281d2e2b660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1656618631273]"
},
"R5": {
"serializedValue": "0e20475cc397c2f37c3c562c0aa92b1a446386c75365508b15e10e7f9110a611a6d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "475cc397c2f37c3c562c0aa92b1a446386c75365508b15e10e7f9110a611a6d5"
}
}
},
{
"boxId": "ce81e8a519725eb9964bf3e39bf8d11b6e0bc087eff731cdc3cb8a3138c494f4",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "e5b7308f07d6c45cf94cd3721b1150335e7977389280b2ac5a012d787d110203",
"outputTransactionId": "b2cbaadfcab639fa675d61d5edaa44acb515085523dac8c514a5dcee6cb83682",
"outputIndex": 1,
"outputGlobalIndex": 21519132,
"outputCreatedAt": 836667,
"outputSettledAt": 836669,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "BxjSQHD1hqQFUXbXatkn46YUxM6wVsLkT5HNXJe1N1n3dM2c7X8BtgnLqszJuxoRTnzXzrCrmEjPyLxqstcnW7YkQJ9m7QTmhChBYt1hAFcTWiyVMdaiYYFtxr7qfXKcjsadtfusNhS63ZddciC3wogjrfSE3U2Fy9dhrrKStUVzWhTP22ZuwdDPv8F88WVtdLsu24bbHsv2ntXZJGhvdKnvJL83kJWs9XV582sqUBqX7kL2A5qp6T2Jxgt3gLxcZ99JhUG99YtRsmpuwb94TE5KVTESWA6cD8EdReTbP1kwW77rnJyNfj8KUsy1j7AZuNBUsVBc3oLV4GxYFDvaTNEyNBmGY3dEe8k7UKjUSnqCmYH2QM2cmhtPEdT6UBR9sS4h4YFiGsRHiybjuTSaBUPrzhJ12ESKf8jcaNna9rYprzm8ZnfwNEQFtPJyKfCoJjbwkfsAEirsMcyU3VjPAvKJ2mtu7A3WwXViBSfwUgdCnWkEhdPCRPueAXfN38JXG8HjJeZTPi3VtgcnFobg8Zjp1XtRkTaoj6i4BgyfwCft3sCYgBgmNjXhtFuuozpCiAXWyGMMs5rhJL6FzXsJWiTSML96LdshFnhoPRPi8FXVooURKztnqJowFcpLApL2ou2jfeC4iaxKgtd6zDR6ikFVXMsipVHmBrhan9dheUPnfjeXz9WVPmGLmVkrxnVv",
"assets": [
{
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"index": 0,
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"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c80198aabffbe560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1662952925836]"
},
"R5": {
"serializedValue": "0e2095e2029a6c748b338c6b5d17d80a60a95c2895cd97fe4af0d5b17b4e61af2b83",
"sigmaType": "Coll[SByte]",
"renderedValue": "95e2029a6c748b338c6b5d17d80a60a95c2895cd97fe4af0d5b17b4e61af2b83"
}
}
},
{
"boxId": "e22f7abf75df6c34f2824ed952d4da122044df43f1855916b5ccaf94639f64b1",
"value": 1000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "19d66e4c24f9ceac35cb99a0ebc23162184f2f389092d35b06af7aadc9cad6c1",
"outputTransactionId": "5fde92a61f0a81fd93a368ca2e50963f7a68f0be565d2beefa7b573c7dc0c8ed",
"outputIndex": 1,
"outputGlobalIndex": 21521432,
"outputCreatedAt": 836706,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801f8f9fc81e660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1662959722108]"
},
"R5": {
"serializedValue": "0e208a68e7b0073608c4db1030080ca51f993b7c41faecc9a5cb6c54ddb0cb66ab68",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a68e7b0073608c4db1030080ca51f993b7c41faecc9a5cb6c54ddb0cb66ab68"
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{
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"spendingProof": null,
"outputBlockId": "46da1611268902b8473133f76a808c2951aa7c754f3afd269cac619a1b1bb0b5",
"outputTransactionId": "11cb0021c5881d7697d8c3fe9f3f4d4b4eef4cbecba80148791df4bde36c4f70",
"outputIndex": 1,
"outputGlobalIndex": 21523332,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 165818074,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801ded5eea7cc60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1659509790063]"
},
"R5": {
"serializedValue": "0e202c85bd5507e41c91f2e428d46ae1f67966c2156ad683df44a16c8810ed3ce951",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c85bd5507e41c91f2e428d46ae1f67966c2156ad683df44a16c8810ed3ce951"
}
}
},
{
"boxId": "72771c6e00da073a83f367447603123dd41e45890b2cfea666f9519f4d30cf56",
"value": 1000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "e609bf03687be23ac9be2779ee13711eb905d32471fed33c1a1ef8f3e4a6df8f",
"outputTransactionId": "8c1130f348cdd31603c362c8d00b141ceb709f856999f9b2f6fe84d91ce55236",
"outputIndex": 1,
"outputGlobalIndex": 21525559,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801fe9e84bab160",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1655904962495]"
},
"R5": {
"serializedValue": "0e20eddcad354a6d846b9b3ba6e249c77124d7a80c2d0789023ae5b624c56c38481e",
"sigmaType": "Coll[SByte]",
"renderedValue": "eddcad354a6d846b9b3ba6e249c77124d7a80c2d0789023ae5b624c56c38481e"
}
}
},
{
"boxId": "a423e34b4f79861bf297a3120fd00ab85e12c280c3750b368da4bd665918acd2",
"value": 1000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "8d8172eaa5e40e8a24f5be9611748bb5b734caab534a79ab4f60927931780db2",
"outputTransactionId": "024b312feb708d2387e4eaf3464bb08533b04f10b465e3852ec2cc19d2bd8918",
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"outputGlobalIndex": 21525670,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "Paideia Stake Token",
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"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c8018ee18cc7b660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1656589752391]"
},
"R5": {
"serializedValue": "0e20719649e3f171fe8ae078c46f8eae45c8e906e632bd4e6778271f19884fe948a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "719649e3f171fe8ae078c46f8eae45c8e906e632bd4e6778271f19884fe948a8"
}
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{
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"spendingProof": null,
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"outputTransactionId": "61056f590992f287c7c6ac29ddbc2eb7986fb25170d0a5791e13bbcf0e5914d7",
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"outputGlobalIndex": 21526251,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1055602894,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801a492e28ce660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1662971036818]"
},
"R5": {
"serializedValue": "0e2040a64ae4351363d4161b98081a4b3e4ae8376737fe0e5c7dd7710b303c8aa33d",
"sigmaType": "Coll[SByte]",
"renderedValue": "40a64ae4351363d4161b98081a4b3e4ae8376737fe0e5c7dd7710b303c8aa33d"
}
}
},
{
"boxId": "baabc08c7e9193b924628a808d1685829b141db69836b31af156fb71f0ddbffd",
"value": 1000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "c754efc2efff34b38554335aa07d2ad044cedfc83ccfbb4a5085f8cd42379dad",
"outputTransactionId": "719c64f2f95918351c0e10631dae85d6a88f1d52cb6a482ea2c4d39933fb6cbd",
"outputIndex": 1,
"outputGlobalIndex": 21527218,
"outputCreatedAt": 836795,
"outputSettledAt": 836797,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801868cfce1a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1654336226051]"
},
"R5": {
"serializedValue": "0e20a5a572f2629be413b76568dcb78092ccff865fbfcb2a36a05bc3ccc52095fa10",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5a572f2629be413b76568dcb78092ccff865fbfcb2a36a05bc3ccc52095fa10"
}
}
},
{
"boxId": "f178741cd374d547b06e2474529eacc57c6fca72c103ce278e87f8338de4b087",
"value": 1000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "1ee8379369cef8a46330960cc1729a1ae1d9485a3bb9e12c9f57b1836448cb57",
"outputTransactionId": "31093ec6d3a3f56faea4723ee476413567f440a546b1a8814feec74cf4c81ff0",
"outputIndex": 1,
"outputGlobalIndex": 21528054,
"outputCreatedAt": 836800,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
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"type": "EIP-004"
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801cae98a8da660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1654381435493]"
},
"R5": {
"serializedValue": "0e2010993e8056067cc26d3c9d8b4647a283a1d10aa5d1d24f84ff43a9f4ede1f629",
"sigmaType": "Coll[SByte]",
"renderedValue": "10993e8056067cc26d3c9d8b4647a283a1d10aa5d1d24f84ff43a9f4ede1f629"
}
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},
{
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"spendingProof": null,
"outputBlockId": "e8cfa88233ab74b1672e510f3905f8f8533007e90b442f0e9f3191baa3429833",
"outputTransactionId": "742246b45d66dcfbb0f1e84bc2f18816a8cfd36482568a9c02de474048ca1edb",
"outputIndex": 1,
"outputGlobalIndex": 21530017,
"outputCreatedAt": 836830,
"outputSettledAt": 836832,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 88797814,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102c801f6e9df93e660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1662978357883]"
},
"R5": {
"serializedValue": "0e200f179c4b660bd373f703cc7718c3e82ccd3c770b0f87aec685bf821900f361ce",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f179c4b660bd373f703cc7718c3e82ccd3c770b0f87aec685bf821900f361ce"
}
}
},
{
"boxId": "d8e4f2dcddf29f62a1e0930b21b255d5920fa8107c8307a00876cd2f479c470b",
"value": 10000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "9be8d6e68a4e8dc3b060d0e80927e06342097e57ba308082cfa341996381ba94",
"outputTransactionId": "f72f8b911c646992eec59a6a156807962568da92efb5d162a972bd7d3fcc9828",
"outputIndex": 3,
"outputGlobalIndex": 20960599,
"outputCreatedAt": 828299,
"outputSettledAt": 828301,
"ergoTree": "102f040605000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f09104040400010004000400010004020400058084af5f040205c0843d04040580897a01000408040205809bee020580897a0580897a040a05809bee02040c0580897a0100040004000e20245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab04000402010005c0843d05e0a7120580897a05c09a0c040204040100040004000e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef0100d80ad60193b1a57300d60286028300027301d6037302d60495ef7201ed938cb2db6308b2a47303007304017202017305938cb2db6308b2a473060073070172020172037308d605c2a7d606c1a7d607b2a4730900d60895efec72017204938cb2db63087207730a017202017203730bd609b1a4d60a997209730cd1ececec957201d803d60bb2a5730d00d60cc2a7d60dc1a79683050193c2720b720c91c1720b720d90720d730e93c1b2a5730f009c73107eb1b5a4d9010e6393c2720e720c0593c1b2a573110073127313957204d801d60bb2a57314009683050193c5b2a499b1a4731500c5a793c2720b720592c1720b999999720673167317731893c1b2a5731900731a93c1b2a5731b00731c731d957208d805d60bb2a5720a00d60cb1b5a4d9010c63d801d60edb6308720c9591b1720e731eed938cb2720e731f0001732093b2e4c6720c0411732100b2e4c6720704117322007323d60d7e720c05d60e9a73249c7325720dd60f9a73269c7327720d9683060193c5b2a4720a00c5a793c2720b720592c1720b99997206720e720f93c1b2a5720900720e93c1b2a59a7209732800720f9372099a720c7329732a95efecec720172047208938cb2db6308b2a5732b00732c01720201732d732e",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f1bd23b92bf430ffae1fd1195deacd217f83d7fa0698007ef1faf26820d75f47",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 0,
"globalIndex": 21534194,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n4: 0\n5: 0\n6: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "12bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f",
"index": 0,
"amount": 1,
"name": "Paideia Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 343,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110494aac5efa41bc80100b895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[468805266058,100,0,271230300]"
}
},
"spentTransactionId": "6e49e7aa2f55d3fee66f39bbe9bf0c1294f67676fbfdf99e316e5d446adae8c4",
"mainChain": true
},
{
"boxId": "d99a458a777f8b9ba98e69ad3dc4fb5ff1b240d6c62362b0255c17ecc2082246",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 1,
"globalIndex": 21534195,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 136276550,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca019a8c85e4a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1654338396941]"
},
"R5": {
"serializedValue": "0e209a5dd1f7345d867afa68e8dbac6cf3a2e9ae57f3cd2d138d248c93adca45181e",
"sigmaType": "Coll[SByte]",
"renderedValue": "9a5dd1f7345d867afa68e8dbac6cf3a2e9ae57f3cd2d138d248c93adca45181e"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "7b80c9165ff2b4e108c0bb0c2dd2a2668cf97aa06f5abc394515c0500586a5a8",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 2,
"globalIndex": 21534196,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 1904122694,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01d281d2e2b660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1656618631273]"
},
"R5": {
"serializedValue": "0e20475cc397c2f37c3c562c0aa92b1a446386c75365508b15e10e7f9110a611a6d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "475cc397c2f37c3c562c0aa92b1a446386c75365508b15e10e7f9110a611a6d5"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "9b8c0e2b9009f6af03d6ab5e10b406ec31e21bc5217aafebf80771dbf39d7f3a",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 3,
"globalIndex": 21534197,
"creationHeight": 836899,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 18449264,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca0198aabffbe560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1662952925836]"
},
"R5": {
"serializedValue": "0e2095e2029a6c748b338c6b5d17d80a60a95c2895cd97fe4af0d5b17b4e61af2b83",
"sigmaType": "Coll[SByte]",
"renderedValue": "95e2029a6c748b338c6b5d17d80a60a95c2895cd97fe4af0d5b17b4e61af2b83"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "889f3af46c2f3b1087752086f04dbb82c30e613f0ce5b4d71fd546a1fbe19294",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 4,
"globalIndex": 21534198,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 20011571,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01f8f9fc81e660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1662959722108]"
},
"R5": {
"serializedValue": "0e208a68e7b0073608c4db1030080ca51f993b7c41faecc9a5cb6c54ddb0cb66ab68",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a68e7b0073608c4db1030080ca51f993b7c41faecc9a5cb6c54ddb0cb66ab68"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
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"value": 1000000,
"index": 5,
"globalIndex": 21534199,
"creationHeight": 836899,
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"ergoTree": "101f040004000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040204000400040001000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040004000402040204000400050204020402040604000100040404020402010001010100040201000100d807d601b2a4730000d6028cb2db6308720173010001d6039372027302d604e4c6a70411d605e4c6a7050ed60695ef7203ed93c5b2a4730300c5a78fb2e4c6b2a57304000411730500b2e4c6720104117306007307d6079372027308d1ecec957203d80ad608b2a5dc0c1aa402a7730900d609e4c672080411d60adb63087208d60bb2720a730a00d60cdb6308a7d60db2720c730b00d60eb2720a730c00d60fb2720c730d00d6107e8c720f0206d611e4c6720104119683090193c17208c1a793c27208c2a793b27209730e009ab27204730f00731093e4c67208050e720593b27209731100b27204731200938c720b018c720d01938c720b028c720d02938c720e018c720f01937e8c720e02069a72109d9c7eb272117313000672107eb27211731400067315957206d801d608b2a5731600ed72079593c27208c2a7d801d609c67208050e95e67209ed93e472097205938cb2db6308b2a57317007318000172057319731a731b9595efec7206720393c5b2a4731c00c5a7731d7207731e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "BxjSQHD1hqQFUXbXatkn46YUxM6wVsLkT5HNXJe1N1n3dM2c7X8BtgnLqszJuxoRTnzXzrCrmEjPyLxqstcnW7YkQJ9m7QTmhChBYt1hAFcTWiyVMdaiYYFtxr7qfXKcjsadtfusNhS63ZddciC3wogjrfSE3U2Fy9dhrrKStUVzWhTP22ZuwdDPv8F88WVtdLsu24bbHsv2ntXZJGhvdKnvJL83kJWs9XV582sqUBqX7kL2A5qp6T2Jxgt3gLxcZ99JhUG99YtRsmpuwb94TE5KVTESWA6cD8EdReTbP1kwW77rnJyNfj8KUsy1j7AZuNBUsVBc3oLV4GxYFDvaTNEyNBmGY3dEe8k7UKjUSnqCmYH2QM2cmhtPEdT6UBR9sS4h4YFiGsRHiybjuTSaBUPrzhJ12ESKf8jcaNna9rYprzm8ZnfwNEQFtPJyKfCoJjbwkfsAEirsMcyU3VjPAvKJ2mtu7A3WwXViBSfwUgdCnWkEhdPCRPueAXfN38JXG8HjJeZTPi3VtgcnFobg8Zjp1XtRkTaoj6i4BgyfwCft3sCYgBgmNjXhtFuuozpCiAXWyGMMs5rhJL6FzXsJWiTSML96LdshFnhoPRPi8FXVooURKztnqJowFcpLApL2ou2jfeC4iaxKgtd6zDR6ikFVXMsipVHmBrhan9dheUPnfjeXz9WVPmGLmVkrxnVv",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 165914009,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01ded5eea7cc60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1659509790063]"
},
"R5": {
"serializedValue": "0e202c85bd5507e41c91f2e428d46ae1f67966c2156ad683df44a16c8810ed3ce951",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c85bd5507e41c91f2e428d46ae1f67966c2156ad683df44a16c8810ed3ce951"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2683050700,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1655904962495]"
},
"R5": {
"serializedValue": "0e20eddcad354a6d846b9b3ba6e249c77124d7a80c2d0789023ae5b624c56c38481e",
"sigmaType": "Coll[SByte]",
"renderedValue": "eddcad354a6d846b9b3ba6e249c77124d7a80c2d0789023ae5b624c56c38481e"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
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"index": 7,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 1118143936,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca018ee18cc7b660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1656589752391]"
},
"R5": {
"serializedValue": "0e20719649e3f171fe8ae078c46f8eae45c8e906e632bd4e6778271f19884fe948a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "719649e3f171fe8ae078c46f8eae45c8e906e632bd4e6778271f19884fe948a8"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "27d282c75191a1d9c2a7df2dbf76a3116a96c0594632481839ce7c602242fc66",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
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"value": 1000000,
"index": 8,
"globalIndex": 21534202,
"creationHeight": 836899,
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"ergoTree": "101f040004000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040204000400040001000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040004000402040204000400050204020402040604000100040404020402010001010100040201000100d807d601b2a4730000d6028cb2db6308720173010001d6039372027302d604e4c6a70411d605e4c6a7050ed60695ef7203ed93c5b2a4730300c5a78fb2e4c6b2a57304000411730500b2e4c6720104117306007307d6079372027308d1ecec957203d80ad608b2a5dc0c1aa402a7730900d609e4c672080411d60adb63087208d60bb2720a730a00d60cdb6308a7d60db2720c730b00d60eb2720a730c00d60fb2720c730d00d6107e8c720f0206d611e4c6720104119683090193c17208c1a793c27208c2a793b27209730e009ab27204730f00731093e4c67208050e720593b27209731100b27204731200938c720b018c720d01938c720b028c720d02938c720e018c720f01937e8c720e02069a72109d9c7eb272117313000672107eb27211731400067315957206d801d608b2a5731600ed72079593c27208c2a7d801d609c67208050e95e67209ed93e472097205938cb2db6308b2a57317007318000172057319731a731b9595efec7206720393c5b2a4731c00c5a7731d7207731e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1056213619,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01a492e28ce660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1662971036818]"
},
"R5": {
"serializedValue": "0e2040a64ae4351363d4161b98081a4b3e4ae8376737fe0e5c7dd7710b303c8aa33d",
"sigmaType": "Coll[SByte]",
"renderedValue": "40a64ae4351363d4161b98081a4b3e4ae8376737fe0e5c7dd7710b303c8aa33d"
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},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
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"index": 9,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2170628177,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01868cfce1a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1654336226051]"
},
"R5": {
"serializedValue": "0e20a5a572f2629be413b76568dcb78092ccff865fbfcb2a36a05bc3ccc52095fa10",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5a572f2629be413b76568dcb78092ccff865fbfcb2a36a05bc3ccc52095fa10"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "5f7aa89fd59490924f7d16ee119e893eecc8552335623b197acbedaa719c1060",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
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"value": 1000000,
"index": 10,
"globalIndex": 21534204,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2333968329,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01cae98a8da660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1654381435493]"
},
"R5": {
"serializedValue": "0e2010993e8056067cc26d3c9d8b4647a283a1d10aa5d1d24f84ff43a9f4ede1f629",
"sigmaType": "Coll[SByte]",
"renderedValue": "10993e8056067cc26d3c9d8b4647a283a1d10aa5d1d24f84ff43a9f4ede1f629"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "3aa1b72fd35bc02cc9e708f0c85de0b833a2abe5a152b5fd2f28e43cdcaff033",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 1000000,
"index": 11,
"globalIndex": 21534205,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 88849188,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102ca01f6e9df93e660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[101,1662978357883]"
},
"R5": {
"serializedValue": "0e200f179c4b660bd373f703cc7718c3e82ccd3c770b0f87aec685bf821900f361ce",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f179c4b660bd373f703cc7718c3e82ccd3c770b0f87aec685bf821900f361ce"
}
},
"spentTransactionId": "5daecec6f8758125b22955c18859df91acd19d6b76c7a7fa2fb5f7b881c4bd56",
"mainChain": true
},
{
"boxId": "81f9da647dc922b373f5ad85dd0a939edf06b4c001d97eb6dd73e177f4a0e189",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 5750000,
"index": 12,
"globalIndex": 21534206,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cb69ce059c82742bb03011e5472d22afc2e54032986e068b166d45d8f793c4c2",
"mainChain": true
},
{
"boxId": "fd98349c6b47f345d24d3336a44bbfa430663e935a95e859311d62695dfd1745",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 2150000,
"index": 13,
"globalIndex": 21534207,
"creationHeight": 836899,
"settlementHeight": 836905,
"ergoTree": "0008cd03e605bd2d03dc22205f706a24abc0cec5a1c5b43019bcc90758a846f2dfb30f16",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e605bd,918466,...)))}",
"address": "9iD7JfYYemJgVz7nTGg9gaHuWg7hBbHo2kxrrJawyz4BD1r9fLS",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2120c05f6f699ead570d3136ad0264eb0ffd0f74ebcbc6d258b9ff9554a6993a",
"mainChain": true
},
{
"boxId": "f60fe0e9ec5847e7775338eb229e752733ac4801a651a39a55e2c3b017894cb4",
"transactionId": "a278a4daf4f87ca56ec2183f11485b1eeeb2ecf0a135fc02771748aaf6951feb",
"blockId": "5a89eb41160099dadb06644a2e1ef0430f2f086b56e3c4bad9ff894c1513b637",
"value": 2100000,
"index": 14,
"globalIndex": 21534208,
"creationHeight": 836899,
"settlementHeight": 836905,
"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": "511d3b89d8c60aba36790431c0a6c4ed878377dd8d010b1597d3947a7086033d",
"mainChain": true
}
],
"size": 8435,
"isUnconfirmed": false
}