Transaction
ID: 9b40253cf6...65cd
Inputs (4)
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 (7)
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:
273.97
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 881,567
Total coins transferred: 0.013 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000248 ERG
Raw Transaction Data
{
"id": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"inclusionHeight": 876047,
"timestamp": 1668600124054,
"index": 2,
"globalIndex": 4330541,
"numConfirmations": 881567,
"inputs": [
{
"boxId": "06d2a045924cf310040062c80bea04ce3047be996cc503b7a71b4c870659e29c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "394dc6038a4583dad0285db0418bc779f07478e952effa41400ad4a00a08e3f8",
"outputTransactionId": "d2babe373b787eea6ceebc0cf15f873007ecd25ef2ffe39a79c6eb638c0accb1",
"outputIndex": 0,
"outputGlobalIndex": 23663281,
"outputCreatedAt": 875882,
"outputSettledAt": 875884,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(70,-27,82,-90,62,69,108,-62,13,-22,-90,69,-38,-22,113,43,86,-16,76,25,107,-80,31,-82,-75,52,62,-12,22,45,-115,-55)\n19: 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)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-109,-51,-87,11,79,-30,79,7,93,121,97,-6,13,29,102,47,-36,126,19,73,-45,19,5,-101,-106,24,-18,-53,22,-59,-22,-34)\n50: 2\n51: 1\n52: 0\n53: 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)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f091",
"index": 0,
"amount": 1,
"name": "Paideia Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 1,
"amount": 999999999183,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11058a8dc296a426ca02e20c80c8c8b28f6180f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[657690477381,165,817,1668513600000,86400000]"
}
}
},
{
"boxId": "72329c27aa3b706a7c3f7f856c12fe464c4df3bdea2342c143e9207cf66f3307",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b4a93b30f4405cf07c362db1af390850ed4a37f1662f20bf80b5b2d385c016f6",
"outputTransactionId": "136cd191cfeafcffc15b9ca0cb20a2404eeac79af259e9b44765a0d11885873f",
"outputIndex": 1,
"outputGlobalIndex": 23637878,
"outputCreatedAt": 875308,
"outputSettledAt": 875310,
"ergoTree": "101d040004000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040204020404040404020500040005c80104060400040004020402040004000400040204000e240008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec0580897a01010100040004000100d802d601b2a4730000d602c5a7d1ec9596830201938cb2db6308720173010001730293c5b2a47303007202d80cd603b2a5730400d604db63087203d605db6308a7d606b27205730500d607db6308b2a4730600d6089592b1720773078cb27207730800027309d6099a8c7206027208d60ae4c6a70411d60bb2720a730a00d60c8c720601d60d9d720b730bd60eb2a5730c00968302019683070193c17203c1a793c27203c2a7938cb27204730d00018cb27205730e000195917209720bd801d60fb27204730f0096830201938c720f01720c938c720f02997209720b93b17204731093e4c672030411720a93e4c67203050ee4c6a7050e93b2e4c6b2a57311000411731200999ab2e4c67201041173130099720b720d72089591b172047314d801d60fb2db6308720e7315009683040193c2720e731693c1720e7317938c720f01720c938c720f02720d731873199593c572017202938cb2db6308b2a5731a00731b0001e4c6a7050e731c",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "93cda90b4fe24f075d7961fa0d1d662fdc7e1349d313059b9618eecb16c5eade",
"index": 0,
"amount": 1,
"name": "Paideia Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 4794998758,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101a0cda38502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273970000]"
},
"R5": {
"serializedValue": "0e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef",
"sigmaType": "Coll[SByte]",
"renderedValue": "b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef"
}
}
},
{
"boxId": "4f7ac6559f83a314a3bc26de3f3cf5617ed9d242c8df6a81e83d8931361261ce",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "79af1eef79a7aaefea3a1b180e5e49b06926137dea8d10426f43bb56125fa4f7",
"outputTransactionId": "d93232f20df292cf6d7033aebc16875a92cdd815dae010aa491615258ea4e68f",
"outputIndex": 0,
"outputGlobalIndex": 23638971,
"outputCreatedAt": 875321,
"outputSettledAt": 875324,
"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": "eZyDUDr8H4GxiHEaHgd1bwhPsiztWzzyj3RDCRcVMZUjinBkHfjLcRfXNak464hMit7rWxg5YpcebmeNbVnhhberBmG5GUsP3UGsMiHisb8qja3HmMqEd6k9UHun5KQiThZQdYoGNgg3pBTU8ZsYVJUx1miNA2XN4X8TTrLaru1YiDeZr6RaTfgMNcvm9JwTfJopvMybyg9Ta9nbMiU4Td625GNafAvsTEYEccMivBnHTEEVqksRsc2phzuiKuxSzo8sCZLGPYw6RunttctZvPpvR9kpP7ndSxp5CwRZoVKeX1j75exx9oC2GYeYRVZPUgye8ZbSpMF5BSkXyD3Jwn6tfxV6d2HWYgCLNthU1cYoRuZ7yKbv4ZpustfLn7LKauUU6dZGErvuuqJRLPALz6BJu8K6zMFY8TtsxEmZTzdKgTswQXVJPqV8BbJPa7xbtXZLJuhghKzbX8CM9XsRssfm5Ji13DxzvHQtJpanTFVbDGN9wKD8B99nmBFsQMkjPyT8NnHHWvMVKqYPC2zvNBNNBG2pvRXw1pcqpti58JGrtCzY9R1vZZMFkh3cKLJkQd9M4ADcagrcKxqscVGzwGRWGLk4goVf81UDKgXCA3kksYYoVYiqAFPAUF9d9EizGDEXg5CgsqN7KKpMefYL4S82WwsSVMP4KA4cgqrJGbKLFNrK79JXU6Vmeq8qVTZMAyF8mNhDWYz3vXMivRDy5A9uYArjDNLPYRqc6srDz18eKVrpsHWaAcaojTrN1ARBfzdq4uDt8eEPtaTB73LDqigZen5fewVmh3XS728WEzqeq7Cb2FjQ9ybZi5yHBh7EtYtSKtdcUjXHRY2PKVUEsdJTvFfK1BVQ2iK2zT21kbjoxCdCc4bvLVDoKNQPxqgGNwMimRcsqaHPQ9VkTdGrYT2iSh3o3PyNhGsfohhzqFmzdrneoFqHW9PT9roR7z6AuTMTvptsWu",
"assets": [
{
"tokenId": "12bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f",
"index": 0,
"amount": 1,
"name": "Paideia Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 407,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104cc9784c6a226c80200b895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[657471866342,164,0,271230300]"
}
}
},
{
"boxId": "d4fc4f617658909c5b765667cfbe95af14496a72a57c50e9202d1bd5b2559964",
"value": 10000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6ef6af83e77364a377e8f62cd1012540b36f802f0015e6acc2d5c09acbe9990a",
"outputTransactionId": "6ce2b348833c54f26e2e6178428ebfa7a4bb2ca8e2e3f9ba7e03f13fd9e00d1f",
"outputIndex": 3,
"outputGlobalIndex": 23608157,
"outputCreatedAt": 874732,
"outputSettledAt": 874734,
"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": "6a93576d06d58a042762f95196af675a77f8831651518093ee7003986298f5c2",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 1000000,
"index": 0,
"globalIndex": 23670027,
"creationHeight": 876045,
"settlementHeight": 876047,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(70,-27,82,-90,62,69,108,-62,13,-22,-90,69,-38,-22,113,43,86,-16,76,25,107,-80,31,-82,-75,52,62,-12,22,45,-115,-55)\n19: 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)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-109,-51,-87,11,79,-30,79,7,93,121,97,-6,13,29,102,47,-36,126,19,73,-45,19,5,-101,-106,24,-18,-53,22,-59,-22,-34)\n50: 2\n51: 1\n52: 0\n53: 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)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 1,
"amount": 999999999183,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105949c9799a626cc02e20c80b8fb84906180f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[657961707274,166,817,1668600000000,86400000]"
}
},
"spentTransactionId": "a71054b4a3bf7504aad281c636d04c0b92c23a75106577f2cfe171b8ffd7f4eb",
"mainChain": true
},
{
"boxId": "c0d23ed5568b3d61fe36f39e73d83419418d4e29aab8205093713e617dad1afc",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 1000000,
"index": 1,
"globalIndex": 23670028,
"creationHeight": 876045,
"settlementHeight": 876047,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "93cda90b4fe24f075d7961fa0d1d662fdc7e1349d313059b9618eecb16c5eade",
"index": 0,
"amount": 1,
"name": "Paideia Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 4521029165,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101a0cda38502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273970000]"
},
"R5": {
"serializedValue": "0e20b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef",
"sigmaType": "Coll[SByte]",
"renderedValue": "b311425409ff2e8f5901d230788c6628b5846be0b9c66621e4880b086dd5eaef"
}
},
"spentTransactionId": "8a6d20d0bb335f34edde5b4498ed1881ea6a42cfb414631aa374ef0eae5a9166",
"mainChain": true
},
{
"boxId": "81a71eabf8401c116b698b7306d31490bab1f39e99bde26e27a8bab84707c114",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 1000000,
"index": 2,
"globalIndex": 23670029,
"creationHeight": 876045,
"settlementHeight": 876047,
"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": 271230300,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11048a8dc296a426ca02e20cb895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[657690477381,165,817,271230300]"
}
},
"spentTransactionId": "03e7b3d1b90452cc279abdc3cc4bc8552d97fae60b243b2ebd0152f1bc27652d",
"mainChain": true
},
{
"boxId": "18718bc4ded150b648fc568dd50a470bd59aeea10c469ea76306e132be6d1d12",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 1000000,
"index": 3,
"globalIndex": 23670030,
"creationHeight": 876045,
"settlementHeight": 876047,
"ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
"address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
"assets": [
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 0,
"amount": 2739700,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fb5ac3f9f9f347bb570b502181fc5c364f3e7fc8e50e31a57a03d180af85cac9",
"mainChain": true
},
{
"boxId": "100432ea5d2dca68a1558fe672ab97c8ec1e8cb6d16470285ee0d61fdefc60de",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 5000000,
"index": 4,
"globalIndex": 23670031,
"creationHeight": 876045,
"settlementHeight": 876047,
"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": {},
"spentTransactionId": "73503c70430a0c590c78f036a585bc835b3b817f02685f815eeae384731d250b",
"mainChain": true
},
{
"boxId": "3974c1b4caac62969fd6e1314675529c8db09cc7bfa9aaec60ca364fb016f4d6",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 3000000,
"index": 5,
"globalIndex": 23670032,
"creationHeight": 876045,
"settlementHeight": 876047,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0c875726f0c89c0153d5641cbd23c5bfadd5cdf4d8fc91ebc6bce581be03be65",
"mainChain": true
},
{
"boxId": "ef8cb97d33c32adcf35c73d09e263ecdc64ed4518f849ff508b1dd28b0bfd7dd",
"transactionId": "9b40253cf6677cbd02a55d84fca16d989236a0bfb7005f35f62520da948d65cd",
"blockId": "afede4287a21d90e38f3919b27fe97583a3d5127905859ee5b18470db128ff65",
"value": 1000000,
"index": 6,
"globalIndex": 23670033,
"creationHeight": 876045,
"settlementHeight": 876047,
"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": "6e148d4cc8f0f26ec9da39bd028dfdea4c8285952969d71d6a8c14cec1fb276e",
"mainChain": true
}
],
"size": 4025,
"isUnconfirmed": false
}