Transaction
ID: 9031358eae...8687
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.2 ERG
Tokens:
1,000,000
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.197 ERG
Tokens:
999,999.98
Transaction Details
Confirmations: 748,485
Total coins transferred: 0.203 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000154 ERG
Raw Transaction Data
{
"id": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"inclusionHeight": 1011279,
"timestamp": 1685011435791,
"index": 2,
"globalIndex": 5263477,
"numConfirmations": 748485,
"inputs": [
{
"boxId": "e6e8f77635aa791c27e8bcfee1bb058677181b24dd444df61b1318961d1164aa",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9939496017621d1b5c534dc561edf66fe6056fc69bfdcae22daccce394b5899b",
"outputTransactionId": "2b663cdce262c5fa4bf013bce30eb20bf3146c0fda228185db9386b4c1438928",
"outputIndex": 0,
"outputGlobalIndex": 29429454,
"outputCreatedAt": 1011267,
"outputSettledAt": 1011269,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9fce5c3e505eb5b42c16dc694c76f1aebfb8c59150afe07ad666998237def81e",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 1,
"amount": 1001000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c0e28aa78a6280a8d6b9070200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685010340000,1000000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "1d01020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0]]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402fdde1f10c7633177e96ddb43582c30b27b76daf1ffe4b5b7a76d51a543d4d500010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "3a5d79ffdfeb15a836993a7025a99053eaea1633a9e15e151e0a7ca1d43cbc32",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9939496017621d1b5c534dc561edf66fe6056fc69bfdcae22daccce394b5899b",
"outputTransactionId": "3df0d8b77acf869c3eab6fb9956d16f5bd3c1f8aa44a999d67959d76c056aed2",
"outputIndex": 6,
"outputGlobalIndex": 29429447,
"outputCreatedAt": 1011266,
"outputSettledAt": 1011269,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n3: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n4: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n5: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n6: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n7: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n8: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n9: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n10: 0\n11: 0\n12: 1\n13: 0\n14: 78\n15: -58\n16: 31\n17: 72\n18: 91\n19: -104\n20: -21\n21: -121\n22: 21\n23: 63\n24: 124\n25: 87\n26: -37\n27: 79\n28: 94\n29: -51\n30: 117\n31: 85\n32: 111\n33: -35\n34: -68\n35: 64\n36: 59\n37: 65\n38: -84\n39: -8\n40: 68\n41: 31\n42: -34\n43: -114\n44: 22\n45: 9\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 3\n52: 6\n53: 0\n54: 100\n55: 1\n56: 0\n57: 4\n58: 7\n59: 1\n60: 5\n61: 0\n62: 6\n63: 37\n64: 3\n65: 1\n66: 9\n67: 1\n68: 0\n69: 1\n70: 1\n71: 33\n72: 0\n73: 0\n74: 6\n75: 38\n76: 1\n77: 2\n78: 2\n79: 3\n80: 0\n81: 4\n82: 0\n83: 0\n84: 1\n85: 3\n86: 4\n87: 1\n88: 0\n89: 100\n90: 1\n91: 0\n92: 1\n93: 1\n94: 0\n95: 2\n96: 1\n97: 9\n98: 1\n99: 4\n100: 6\n101: 37\n102: 5\n103: 6\n104: 37\n105: 1\n106: 3\n107: 0\n108: 0\n109: 1\n110: 0\n111: 0\n112: 1\n113: 0\n114: 1\n115: 1\n116: 0\n117: 2\n118: 1\n119: 0\n120: 3\n121: 1\n122: 0\n123: 4\n124: 1\n125: 0\n126: 0\n127: 1\n128: 4\n129: 0\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = INPUTS(placeholder[Int](10))\n val coll5 = box4.tokens\n val box6 = OUTPUTS(placeholder[Int](11))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = box4.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](12))\n val coll10 = box6.R4[Coll[AvlTree]].get\n val coll11 = box4.R4[Coll[AvlTree]].get\n val coll12 = coll11(placeholder[Int](13)).digest\n val coll13 = Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](\n 34\n ), placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[Int](\n 41\n ), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](46)\n ).map({(i13: Int) => i13.toByte })\n val coll14 = box6.R6[Coll[Coll[Long]]].get\n val coll15 = coll14(placeholder[Int](47))\n val i16 = coll15.size\n val i17 = i16 - placeholder[Int](48)\n val coll18 = coll14(placeholder[Int](49))\n val coll19 = coll14(placeholder[Int](50))\n val coll20 = coll14(placeholder[Int](51))\n val opt21 = coll3(placeholder[Int](52))\n val b22 = max(placeholder[Byte](53), min(placeholder[Byte](54), if (opt21.isDefined) { opt21.get(placeholder[Int](55)) } else { placeholder[Byte](56) }))\n val coll23 = coll14(placeholder[Int](57))\n val i24 = coll23.size\n val opt25 = coll3(placeholder[Int](58))\n val coll26 = box6.R7[Coll[(AvlTree, AvlTree)]].get\n val i27 = coll26.size\n val tuple28 = coll26(i27 - placeholder[Int](59))\n val coll29 = box6.R8[Coll[Coll[Long]]].get\n val i30 = coll29.size\n val i31 = coll8.size\n val coll32 = coll3(placeholder[Int](60)).get\n val coll33 = coll32.slice(placeholder[Int](61), coll32.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll34 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i35 = byteArrayToLong(coll3(placeholder[Int](64)).get.slice(placeholder[Int](65), placeholder[Int](66))).toInt\n val i36 = i35 - placeholder[Int](67)\n val coll37 = box4.R6[Coll[Coll[Long]]].get\n val l38 = coll8(placeholder[Int](68))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](69)).get.slice(placeholder[Int](70), placeholder[Int](71)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](72))._1 == coll3(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), box6.tokens == coll5, coll7(\n placeholder[Int](76)\n ) == l9, coll7(placeholder[Int](77)) == coll8(placeholder[Int](78)), coll7(placeholder[Int](79)) == placeholder[Long](80), coll7(\n placeholder[Int](81)\n ) == placeholder[Long](82), coll10(placeholder[Int](83)).digest == coll12, coll10(placeholder[Int](84)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](85)), coll19(i17) == coll8(placeholder[Int](86)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](87)\n ) == max(\n placeholder[Byte](88), min(placeholder[Byte](89) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](90)) } else { placeholder[Byte](91) })\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](92)).digest, coll29(i30 - placeholder[Int](93))(\n placeholder[Int](94)\n ) == min(\n byteArrayToLong(coll3(placeholder[Int](95)).get.slice(placeholder[Int](96), placeholder[Int](97))), coll5(\n placeholder[Int](98)\n )._2 - l9 - coll8.slice(placeholder[Int](99), i31).append(\n coll33.map(\n {(i39: Int) =>\n coll32.slice(\n placeholder[Int](100) + placeholder[Int](101) * i39 + placeholder[Int](102), placeholder[Int](103) + placeholder[Int](\n 104\n ) * i39 + placeholder[Int](105)\n )\n }\n ).slice(i31 - placeholder[Int](106), coll33.size).map({(coll39: Coll[Byte]) => placeholder[Long](107) })\n )(placeholder[Int](108)) - placeholder[Long](109)\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i36) == coll34.slice(\n placeholder[Int](112), i35\n ), coll18.slice(placeholder[Int](113), i36) == coll37(placeholder[Int](114)).slice(placeholder[Int](115), i35), coll19.slice(\n placeholder[Int](116), i36\n ) == coll37(placeholder[Int](117)).slice(placeholder[Int](118), i35), coll20.slice(placeholder[Int](119), i36) == coll37(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i35), coll23.slice(placeholder[Int](122), i36) == coll37(placeholder[Int](123)).slice(\n placeholder[Int](124), i35\n ), coll15.slice(placeholder[Int](125), i36) == coll37(placeholder[Int](126)).slice(placeholder[Int](127), i35)\n )\n ), allOf(Coll[Boolean](i27 == i35, i16 == i35, i30 == i35, coll20.size == i35, i24 == i35, coll18.size == i35, coll19.size == i35)), coll7.slice(\n placeholder[Int](128), coll7.size\n ).forall({(l39: Long) => l39 == placeholder[Long](129) }), coll7(placeholder[Int](130)) == l38 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l38 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "439a723e8d50f3e2b1674f68334ec231a6c3a6babca97e5fb0b4cac707c01ff7",
"value": 200000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "957b7cbf9973c58abb4f4af87268b7b5154e41b0d3ece14d68a5f437863ebd83",
"outputTransactionId": "50ad3028f1f123672f51b5797404ca6d5427b01746d8038de377f703f4921dca",
"outputIndex": 0,
"outputGlobalIndex": 29429200,
"outputCreatedAt": 1011264,
"outputSettledAt": 1011266,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-119,60,6,36,16,-117,-65,25,-3,-21,119,53,-78,-125,67,71,117,4,15,-65,-78,100,-7,21,69,9,-78,103,74,126,-127,48)\n3: false\n4: Coll(64,-47,-23,2,-118,83,-63,101,-1,-33,-3,10,8,11,5,-1,12,-115,-10,-39,90,-91,-108,86,-95,126,-23,-42,-103,51,46,-111)\n5: Coll(91,-49,-15,2,37,67,102,120,12,-43,25,18,87,5,10,110,-45,58,-59,-47,46,-17,14,48,65,57,-19,93,-104,31,75,-6)\n6: 0\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n15: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n16: 0\n17: 0\n18: Coll(34,94,63,-59,-47,-119,-11,71,-39,-58,38,-66,-67,-58,113,57,-117,108,0,124,120,61,-60,127,-112,63,36,-65,127,52,-124,121)\n19: Coll(-68,74,90,-71,-28,90,-73,75,121,-6,-20,-65,103,73,108,-62,-65,-116,43,14,85,-37,-24,-84,-49,-61,-99,20,-119,17,116,-112)\n20: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n21: 0\n22: 1\n23: 9\n24: 2\n25: 1\n26: 2\n27: 1\n28: 33\n29: 0\n30: 0\n31: 3\n32: 1\n33: 9\n34: 0\n35: 0\n36: 1\n37: 1\n38: 9\n39: 1\n40: 1\n41: 1\n42: 33\n43: Coll(-20,-14,-48,75,-82,72,-96,10,-118,110,73,-64,86,114,99,-55,-11,-46,63,38,-56,35,88,-95,118,-85,-47,-16,33,-40,-79,48)\n44: 1\n45: 1\n46: 9\n47: 0\n48: 0\n49: 0\n50: 1\n51: 9\n52: 1\n53: 0\n54: 1\n55: 33\n56: 1\n57: 1\n58: false",
"ergoTreeScript": "{\n val bool1 = INPUTS.exists({(box1: Box) =>\n val coll3 = box1.tokens\n if (coll3.size > placeholder[Int](0)) { coll3(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2) } else { placeholder[Boolean](3) }\n })\n val coll2 = placeholder[Coll[Byte]](4)\n val coll3 = placeholder[Coll[Byte]](5)\n sigmaProp(anyOf(Coll[Boolean](bool1, if (!bool1) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n val coll5 = box4.R5[Coll[Long]].get\n val box6 = INPUTS(placeholder[Int](7))\n val coll7 = SELF.propositionBytes\n val box8 = OUTPUTS.filter({(box8: Box) => box8.propositionBytes == coll7 })(placeholder[Int](8))\n val coll9 = CONTEXT.dataInputs\n val avlTree10 = coll9(placeholder[Int](9)).R4[AvlTree].get\n val coll11 = getVar[Coll[Byte]](0.toByte).get\n val coll12 = INPUTS.filter({(box12: Box) => box12.propositionBytes == coll7 })\n val l13 = coll12.fold(placeholder[Long](10), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value })\n val coll14 = box8.tokens\n val func15 = {(coll15: Coll[Byte]) => coll12.flatMap({(box17: Box) => box17.tokens }).fold(placeholder[Long](11), {(tuple17: (Long, (Coll[Byte], Long))) =>\n val tuple19 = tuple17._2\n tuple17._1 + if (tuple19._1 == coll15) { tuple19._2 } else { placeholder[Long](12) }\n }) }\n val l16 = func15(coll2)\n val coll17 = coll9(placeholder[Int](13)).R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](14), placeholder[Coll[Byte]](15)), getVar[Coll[Byte]](1.toByte).get)\n val bool18 = coll14.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 != coll2 }).forall({(tuple18: (Coll[Byte], Long)) => tuple18._2 == func15(tuple18._1) })\n val bool19 = coll12.flatMap({(box19: Box) => box19.tokens }).forall({(tuple19: (Coll[Byte], Long)) =>\n val coll21 = tuple19._1\n (coll21 == coll2) || box8.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 })\n })\n if (coll5(placeholder[Int](16)) > box6.R5[Coll[Long]].get(placeholder[Int](17))) {(\n val coll20 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](18), placeholder[Coll[Byte]](19), placeholder[Coll[Byte]](20), coll3), coll11)\n val l21 = byteArrayToLong(coll20(placeholder[Int](21)).get.slice(placeholder[Int](22), placeholder[Int](23))) * coll5(placeholder[Int](24)) + placeholder[Long](25)\n val tuple22 = OUTPUTS.filter({(box22: Box) => blake2b256(box22.propositionBytes) == coll20(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)) })(placeholder[Int](29)).tokens(placeholder[Int](30))\n allOf(Coll[Boolean](box8.value >= l13 - byteArrayToLong(coll20(placeholder[Int](31)).get.slice(placeholder[Int](32), placeholder[Int](33))), coll14.fold(placeholder[Long](34), {(tuple23: (Long, (Coll[Byte], Long))) =>\n val tuple25 = tuple23._2\n tuple23._1 + if (tuple25._1 == coll2) { tuple25._2 } else { placeholder[Long](35) }\n }) >= l16 - l21 - byteArrayToLong(coll20(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))), bool18, bool19, tuple22._1 == coll2, tuple22._2 >= l21, blake2b256(INPUTS(placeholder[Int](39)).propositionBytes) == coll17(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))))\n )} else {(\n val coll20 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](43), coll3), coll11)\n allOf(Coll[Boolean](box8.value >= l13 - byteArrayToLong(coll20(placeholder[Int](44)).get.slice(placeholder[Int](45), placeholder[Int](46))), coll14.fold(placeholder[Long](47), {(tuple21: (Long, (Coll[Byte], Long))) =>\n val tuple23 = tuple21._2\n tuple21._1 + if (tuple23._1 == coll2) { tuple23._2 } else { placeholder[Long](48) }\n }) >= l16 - byteArrayToLong(coll20(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51))), bool18, bool19, blake2b256(INPUTS(placeholder[Int](52)).propositionBytes) == coll17(placeholder[Int](53)).get.slice(placeholder[Int](54), placeholder[Int](55)), box4.tokens(placeholder[Int](56))._2 == box6.tokens(placeholder[Int](57))._2))\n )}\n )} else { placeholder[Boolean](58) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 0,
"amount": 10000000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "3809c3722a4170052e5f95ca905aa4461c99f5958509d3f010e84e6d61ce4889",
"value": 1000000,
"index": 0,
"outputBlockId": "9939496017621d1b5c534dc561edf66fe6056fc69bfdcae22daccce394b5899b",
"outputTransactionId": "3df0d8b77acf869c3eab6fb9956d16f5bd3c1f8aa44a999d67959d76c056aed2",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20893c0624108bbf19fdeb7735b283434775040fbfb264f9154509b2674a7e81300100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfzVRjhLbzhNJkNjcCyiJdRBkRhXf9a9bAL4Q2tuEqk3fB3Y1d3g4VZGpFsXJCZC3tDePdrtYwRwL3aLdmoSPAFeKKq5BqdvutQeZTxZJhNWqYUdz2pJciKgZua1nw3qz8emhBxDsJrRZ1zPe3qnrCYPE3W4h8ddg9FipqcxxwaHSFAcmiZipvJqUyTDt",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "648fa10e15162ba719c2e9ce801f6549a0429ffa57e6b5be0ec15a6410e8f3715107072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "4cd7ab16cfdecf409ee50f57b2aef177af7a5d38054ec37d555a003b9398368f",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 2000000,
"index": 0,
"globalIndex": 29429584,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9fce5c3e505eb5b42c16dc694c76f1aebfb8c59150afe07ad666998237def81e",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 1,
"amount": 1001000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c0baa9af8a6280a8d6b9070200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685018980000,1000000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d050180a8d6b9070100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1000000000],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "1d0102a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c646401fdde1f10c7633177e96ddb43582c30b27b76daf1ffe4b5b7a76d51a543d4d500010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402fdde1f10c7633177e96ddb43582c30b27b76daf1ffe4b5b7a76d51a543d4d500010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "2fa50cdaf3eba4dadf4fb5cb1b65429fb41dc35fecb6860f5b7d6b01f8aa71bc",
"mainChain": true
},
{
"boxId": "353840626d1c38c246904c84827f861abe3aa87ec19efe6d4d126f46c0a16173",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 1000000,
"index": 1,
"globalIndex": 29429585,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"ergoTree": "108801040204000e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e204fd8b0d6d98242726f57b3dfa686126792b8e5056e1d51b6e90d6880cf2dcdc50e20b0b907abafad8dffce2f9f1dfa1535c022dda05366f4fbd27f581d132f4b23f60e209b16b18081274dc22f18e8591996a266d3b921b771810cca0cb8e7124ad808be0e2041f398806552845e52009032105f59e5cb2cb141de63cc737b6d995753c36e810e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a20e2028c684593e114e7a522ca6e6909877ad0a79ae99db6d6cd43819a34d505b37e80e203b0839c7f77efc86dba0a45faacd64a638b68e0ac26aa80a158c8ebe57ae15830400040004020400049c010473043e04900104b60104cf01042904f101042a047e04f80104ae010449049e0104bc01046504ea0104aa0104de010445048701048001047604820104a701040f048801043e044304e301042c0412040004000402040204040406040c02000264040202000408040e0402040a0400040c044a0406040204120402040004020402044204000400040c044c040204040404040605000408050004000402040604080402020002640402020004020402040004040402041204020408040c044a040a040c044a0402040605000400050204000400040204000402040204000404040204000406040204000408040204000400040204080500040004080402041204000e20150d52705ac807a279e701eb88e0c489f60810d15a3f411b497d45fa3686aacfd826d601b2a5730000d602b2db6501fe730100d603dc640be4c6720204640283080e73027303730473057306730773087309e4e3000ed604b2a4730a00d605db63087204d606b2a5730b00d607e4c672060511d608e4c672040511d609b27208730c00d60ae4c67206040c64d60be4c67204040c64d60cdb6401b2720b730d00d60dad832104730e730f7310731173127313731473157316731773187319731a731b731c731d731e731f7320732173227323732473257326732773287329732a732b732c732d732ed9010d047d720d02d60ee4c67206061dd60fb2720e732f00d610b1720fd6119972107330d612b2720e733100d613b2720e733200d614b2720e733300d615b27203733400d616a27335a1733695e67215b2e472157337007338d617b2720e733900d618b17217d619b27203733a00d61ae4c67206070c3c6464d61bb1721ad61cb2721a99721b733b00d61de4c67206081dd61eb1721dd61fb17208d620e4b27203733c00d621db0c0eb47220733d9d99b17220733e733fd622e4c67204070c3c6464d6237d7cb4e4b272037340007341734204d6249972237343d625e4c67204061dd626b27208734400d1968309019683020193cbc27201b4e4b272037345007346734792c17201c1a796830801938cb2720573480001b4e4b27203734900734a734b93db63087206720593b27207734c00720993b27207734d00b27208734e0093b27207734f00735093b27207735100735293db6401b2720a735300720c93db6401b2720a735400720d9683080193b2720f721100720993b27212721100b2720873550093b27213721100b2720873560093b272147211007e72160593b272179972187357007ea27358a1997359721695e67219b2e47219735a00735b0593db64018c721c01720c93db64018c721c02db6401b2720b735c0093b2b2721d99721e735d00735e00a17cb4e4b27203735f00736073619999998cb27205736200027209b2b3b472087363721fadb4ad7221d9012704b472209a9a73649c7365722773669a73679c73689a7227736999721f736ab17221d901270e736b736c00736d9683070193db64018cb27222736e0001720d93b4721a736f7224b472227370722393b4721273717224b4b272257372007373722393b4721373747224b4b272257375007376722393b4721473777224b4b272257378007379722393b47217737a7224b4b27225737b00737c722393b4720f737d7224b4b27225737e00737f72239683070193721b7223937210722393721e722393b172147223937218722393b17212722393b172137223afb47207738001b17207d901270593722773810193b27207738201009a72267cb4e4b2720373830100738401738501907226db6903db6503fe938cb2db630872027386010001738701",
"ergoTreeConstants": "0: 1\n1: 0\n2: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n3: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n4: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n5: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n6: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n7: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n8: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n9: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n10: 0\n11: 0\n12: 1\n13: 0\n14: 78\n15: -58\n16: 31\n17: 72\n18: 91\n19: -104\n20: -21\n21: -121\n22: 21\n23: 63\n24: 124\n25: 87\n26: -37\n27: 79\n28: 94\n29: -51\n30: 117\n31: 85\n32: 111\n33: -35\n34: -68\n35: 64\n36: 59\n37: 65\n38: -84\n39: -8\n40: 68\n41: 31\n42: -34\n43: -114\n44: 22\n45: 9\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 3\n52: 6\n53: 0\n54: 100\n55: 1\n56: 0\n57: 4\n58: 7\n59: 1\n60: 5\n61: 0\n62: 6\n63: 37\n64: 3\n65: 1\n66: 9\n67: 1\n68: 0\n69: 1\n70: 1\n71: 33\n72: 0\n73: 0\n74: 6\n75: 38\n76: 1\n77: 2\n78: 2\n79: 3\n80: 0\n81: 4\n82: 0\n83: 0\n84: 1\n85: 3\n86: 4\n87: 1\n88: 0\n89: 100\n90: 1\n91: 0\n92: 1\n93: 1\n94: 0\n95: 2\n96: 1\n97: 9\n98: 1\n99: 4\n100: 6\n101: 37\n102: 5\n103: 6\n104: 37\n105: 1\n106: 3\n107: 0\n108: 0\n109: 1\n110: 0\n111: 0\n112: 1\n113: 0\n114: 1\n115: 1\n116: 0\n117: 2\n118: 1\n119: 0\n120: 3\n121: 1\n122: 0\n123: 4\n124: 1\n125: 0\n126: 0\n127: 1\n128: 4\n129: 0\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = INPUTS(placeholder[Int](10))\n val coll5 = box4.tokens\n val box6 = OUTPUTS(placeholder[Int](11))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = box4.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](12))\n val coll10 = box6.R4[Coll[AvlTree]].get\n val coll11 = box4.R4[Coll[AvlTree]].get\n val coll12 = coll11(placeholder[Int](13)).digest\n val coll13 = Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](\n 34\n ), placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[Int](\n 41\n ), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](46)\n ).map({(i13: Int) => i13.toByte })\n val coll14 = box6.R6[Coll[Coll[Long]]].get\n val coll15 = coll14(placeholder[Int](47))\n val i16 = coll15.size\n val i17 = i16 - placeholder[Int](48)\n val coll18 = coll14(placeholder[Int](49))\n val coll19 = coll14(placeholder[Int](50))\n val coll20 = coll14(placeholder[Int](51))\n val opt21 = coll3(placeholder[Int](52))\n val b22 = max(placeholder[Byte](53), min(placeholder[Byte](54), if (opt21.isDefined) { opt21.get(placeholder[Int](55)) } else { placeholder[Byte](56) }))\n val coll23 = coll14(placeholder[Int](57))\n val i24 = coll23.size\n val opt25 = coll3(placeholder[Int](58))\n val coll26 = box6.R7[Coll[(AvlTree, AvlTree)]].get\n val i27 = coll26.size\n val tuple28 = coll26(i27 - placeholder[Int](59))\n val coll29 = box6.R8[Coll[Coll[Long]]].get\n val i30 = coll29.size\n val i31 = coll8.size\n val coll32 = coll3(placeholder[Int](60)).get\n val coll33 = coll32.slice(placeholder[Int](61), coll32.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll34 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i35 = byteArrayToLong(coll3(placeholder[Int](64)).get.slice(placeholder[Int](65), placeholder[Int](66))).toInt\n val i36 = i35 - placeholder[Int](67)\n val coll37 = box4.R6[Coll[Coll[Long]]].get\n val l38 = coll8(placeholder[Int](68))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](69)).get.slice(placeholder[Int](70), placeholder[Int](71)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](72))._1 == coll3(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), box6.tokens == coll5, coll7(\n placeholder[Int](76)\n ) == l9, coll7(placeholder[Int](77)) == coll8(placeholder[Int](78)), coll7(placeholder[Int](79)) == placeholder[Long](80), coll7(\n placeholder[Int](81)\n ) == placeholder[Long](82), coll10(placeholder[Int](83)).digest == coll12, coll10(placeholder[Int](84)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](85)), coll19(i17) == coll8(placeholder[Int](86)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](87)\n ) == max(\n placeholder[Byte](88), min(placeholder[Byte](89) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](90)) } else { placeholder[Byte](91) })\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](92)).digest, coll29(i30 - placeholder[Int](93))(\n placeholder[Int](94)\n ) == min(\n byteArrayToLong(coll3(placeholder[Int](95)).get.slice(placeholder[Int](96), placeholder[Int](97))), coll5(\n placeholder[Int](98)\n )._2 - l9 - coll8.slice(placeholder[Int](99), i31).append(\n coll33.map(\n {(i39: Int) =>\n coll32.slice(\n placeholder[Int](100) + placeholder[Int](101) * i39 + placeholder[Int](102), placeholder[Int](103) + placeholder[Int](\n 104\n ) * i39 + placeholder[Int](105)\n )\n }\n ).slice(i31 - placeholder[Int](106), coll33.size).map({(coll39: Coll[Byte]) => placeholder[Long](107) })\n )(placeholder[Int](108)) - placeholder[Long](109)\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i36) == coll34.slice(\n placeholder[Int](112), i35\n ), coll18.slice(placeholder[Int](113), i36) == coll37(placeholder[Int](114)).slice(placeholder[Int](115), i35), coll19.slice(\n placeholder[Int](116), i36\n ) == coll37(placeholder[Int](117)).slice(placeholder[Int](118), i35), coll20.slice(placeholder[Int](119), i36) == coll37(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i35), coll23.slice(placeholder[Int](122), i36) == coll37(placeholder[Int](123)).slice(\n placeholder[Int](124), i35\n ), coll15.slice(placeholder[Int](125), i36) == coll37(placeholder[Int](126)).slice(placeholder[Int](127), i35)\n )\n ), allOf(Coll[Boolean](i27 == i35, i16 == i35, i30 == i35, coll20.size == i35, i24 == i35, coll18.size == i35, coll19.size == i35)), coll7.slice(\n placeholder[Int](128), coll7.size\n ).forall({(l39: Long) => l39 == placeholder[Long](129) }), coll7(placeholder[Int](130)) == l38 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l38 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a0568a54ba83cfc1f530f9b267c32e94333aec06b95ab5014ea9986406c30dd8",
"mainChain": true
},
{
"boxId": "6f1867035c7d499f3885154bdab52d4c66d9d8e477849898a90be1bbf15c3b35",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 500000,
"index": 2,
"globalIndex": 29429586,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 0,
"amount": 100,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e3cb89011738127f98fbe72ce0751d2dcd35f039b4a8a35c4952a6cfbe70067f",
"mainChain": true
},
{
"boxId": "c746b36c90aac86c9e759de47e1264f5b0fe95b8ba62b3834e7d6a3256986976",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 1000000,
"index": 3,
"globalIndex": 29429587,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-57,-59,55,-26,-58,53,-109,14,-53,74,-50,-107,-91,73,38,-77,-85,119,105,-115,-97,73,34,-16,-79,-59,-114,-88,113,86,72,59)\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n4: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n5: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n6: 2\n7: 1\n8: 0\n9: 0\n10: 0\n11: 1\n12: 33\n13: 0\n14: 4\n15: 0\n16: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\n17: 0\n18: 2\n19: 4\n20: 1\n21: 1\n22: 33\n23: 1000000\n24: 100\n25: 3\n26: 6\n27: 38\n28: 0\n29: 6\n30: 37\n31: 6\n32: 37\n33: 5\n34: 6\n35: 37\n36: 1\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 100",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll2 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val b3 = coll2(placeholder[Int](6)).get(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val box5 = INPUTS(placeholder[Int](9))\n val box6 = OUTPUTS.filter(\n {(box6: Box) => blake2b256(box6.propositionBytes) == coll2(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)) }\n )(placeholder[Int](13))\n val coll7 = coll2(placeholder[Int](14)).get\n sigmaProp(\n (box1.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)) && if (b3.toInt <= placeholder[Int](17)) {\n OUTPUTS.size == placeholder[Int](18)\n } else {(\n val l8 = box4.value - box5.value\n val l9 = b3.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == placeholder[Int](19), blake2b256(box4.propositionBytes) == coll2(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), l8 + box6.value - placeholder[Long](23) * l9 / placeholder[Long](24) == l8, Coll[Coll[Byte]](\n coll2(placeholder[Int](25)).get.slice(placeholder[Int](26), placeholder[Int](27))\n ).append(\n coll7.slice(placeholder[Int](28), coll7.size - placeholder[Int](29) / placeholder[Int](30)).indices.map(\n {(i10: Int) =>\n coll7.slice(\n placeholder[Int](31) + placeholder[Int](32) * i10 + placeholder[Int](33), placeholder[Int](34) + placeholder[Int](35) * i10 + placeholder[\n Int\n ](36)\n )\n }\n )\n ).forall({(coll10: Coll[Byte]) =>\n val l12 = box4.tokens.fold(placeholder[Long](37), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](38) }\n }) - box5.tokens.fold(placeholder[Long](39), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](40) }\n })\n l12 + box6.tokens.fold(placeholder[Long](41), {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == coll10) { tuple15._2 } else { placeholder[Long](42) }\n }) * l9 / placeholder[Long](43) == l12\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"mainChain": true
},
{
"boxId": "52cee17020dd4559f98853e8fba8e4b268454bd6cf09ba65525154a4a6cb3357",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 1500000,
"index": 4,
"globalIndex": 29429588,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"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": "7b79c8503088ad2a93d8a2086520d2b51d521f40f928990c8dbcbf67d952ffac",
"mainChain": true
},
{
"boxId": "2ce5ac1cd4938b6181061c9360618003b20fe47ed11524b2c346ff2727653b2e",
"transactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"blockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"value": 197000000,
"index": 5,
"globalIndex": 29429589,
"creationHeight": 1011275,
"settlementHeight": 1011279,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-119,60,6,36,16,-117,-65,25,-3,-21,119,53,-78,-125,67,71,117,4,15,-65,-78,100,-7,21,69,9,-78,103,74,126,-127,48)\n3: false\n4: Coll(64,-47,-23,2,-118,83,-63,101,-1,-33,-3,10,8,11,5,-1,12,-115,-10,-39,90,-91,-108,86,-95,126,-23,-42,-103,51,46,-111)\n5: Coll(91,-49,-15,2,37,67,102,120,12,-43,25,18,87,5,10,110,-45,58,-59,-47,46,-17,14,48,65,57,-19,93,-104,31,75,-6)\n6: 0\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n15: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n16: 0\n17: 0\n18: Coll(34,94,63,-59,-47,-119,-11,71,-39,-58,38,-66,-67,-58,113,57,-117,108,0,124,120,61,-60,127,-112,63,36,-65,127,52,-124,121)\n19: Coll(-68,74,90,-71,-28,90,-73,75,121,-6,-20,-65,103,73,108,-62,-65,-116,43,14,85,-37,-24,-84,-49,-61,-99,20,-119,17,116,-112)\n20: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n21: 0\n22: 1\n23: 9\n24: 2\n25: 1\n26: 2\n27: 1\n28: 33\n29: 0\n30: 0\n31: 3\n32: 1\n33: 9\n34: 0\n35: 0\n36: 1\n37: 1\n38: 9\n39: 1\n40: 1\n41: 1\n42: 33\n43: Coll(-20,-14,-48,75,-82,72,-96,10,-118,110,73,-64,86,114,99,-55,-11,-46,63,38,-56,35,88,-95,118,-85,-47,-16,33,-40,-79,48)\n44: 1\n45: 1\n46: 9\n47: 0\n48: 0\n49: 0\n50: 1\n51: 9\n52: 1\n53: 0\n54: 1\n55: 33\n56: 1\n57: 1\n58: false",
"ergoTreeScript": "{\n val bool1 = INPUTS.exists({(box1: Box) =>\n val coll3 = box1.tokens\n if (coll3.size > placeholder[Int](0)) { coll3(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2) } else { placeholder[Boolean](3) }\n })\n val coll2 = placeholder[Coll[Byte]](4)\n val coll3 = placeholder[Coll[Byte]](5)\n sigmaProp(anyOf(Coll[Boolean](bool1, if (!bool1) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n val coll5 = box4.R5[Coll[Long]].get\n val box6 = INPUTS(placeholder[Int](7))\n val coll7 = SELF.propositionBytes\n val box8 = OUTPUTS.filter({(box8: Box) => box8.propositionBytes == coll7 })(placeholder[Int](8))\n val coll9 = CONTEXT.dataInputs\n val avlTree10 = coll9(placeholder[Int](9)).R4[AvlTree].get\n val coll11 = getVar[Coll[Byte]](0.toByte).get\n val coll12 = INPUTS.filter({(box12: Box) => box12.propositionBytes == coll7 })\n val l13 = coll12.fold(placeholder[Long](10), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value })\n val coll14 = box8.tokens\n val func15 = {(coll15: Coll[Byte]) => coll12.flatMap({(box17: Box) => box17.tokens }).fold(placeholder[Long](11), {(tuple17: (Long, (Coll[Byte], Long))) =>\n val tuple19 = tuple17._2\n tuple17._1 + if (tuple19._1 == coll15) { tuple19._2 } else { placeholder[Long](12) }\n }) }\n val l16 = func15(coll2)\n val coll17 = coll9(placeholder[Int](13)).R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](14), placeholder[Coll[Byte]](15)), getVar[Coll[Byte]](1.toByte).get)\n val bool18 = coll14.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 != coll2 }).forall({(tuple18: (Coll[Byte], Long)) => tuple18._2 == func15(tuple18._1) })\n val bool19 = coll12.flatMap({(box19: Box) => box19.tokens }).forall({(tuple19: (Coll[Byte], Long)) =>\n val coll21 = tuple19._1\n (coll21 == coll2) || box8.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 })\n })\n if (coll5(placeholder[Int](16)) > box6.R5[Coll[Long]].get(placeholder[Int](17))) {(\n val coll20 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](18), placeholder[Coll[Byte]](19), placeholder[Coll[Byte]](20), coll3), coll11)\n val l21 = byteArrayToLong(coll20(placeholder[Int](21)).get.slice(placeholder[Int](22), placeholder[Int](23))) * coll5(placeholder[Int](24)) + placeholder[Long](25)\n val tuple22 = OUTPUTS.filter({(box22: Box) => blake2b256(box22.propositionBytes) == coll20(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)) })(placeholder[Int](29)).tokens(placeholder[Int](30))\n allOf(Coll[Boolean](box8.value >= l13 - byteArrayToLong(coll20(placeholder[Int](31)).get.slice(placeholder[Int](32), placeholder[Int](33))), coll14.fold(placeholder[Long](34), {(tuple23: (Long, (Coll[Byte], Long))) =>\n val tuple25 = tuple23._2\n tuple23._1 + if (tuple25._1 == coll2) { tuple25._2 } else { placeholder[Long](35) }\n }) >= l16 - l21 - byteArrayToLong(coll20(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))), bool18, bool19, tuple22._1 == coll2, tuple22._2 >= l21, blake2b256(INPUTS(placeholder[Int](39)).propositionBytes) == coll17(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))))\n )} else {(\n val coll20 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](43), coll3), coll11)\n allOf(Coll[Boolean](box8.value >= l13 - byteArrayToLong(coll20(placeholder[Int](44)).get.slice(placeholder[Int](45), placeholder[Int](46))), coll14.fold(placeholder[Long](47), {(tuple21: (Long, (Coll[Byte], Long))) =>\n val tuple23 = tuple21._2\n tuple21._1 + if (tuple23._1 == coll2) { tuple23._2 } else { placeholder[Long](48) }\n }) >= l16 - byteArrayToLong(coll20(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51))), bool18, bool19, blake2b256(INPUTS(placeholder[Int](52)).propositionBytes) == coll17(placeholder[Int](53)).get.slice(placeholder[Int](54), placeholder[Int](55)), box4.tokens(placeholder[Int](56))._2 == box6.tokens(placeholder[Int](57))._2))\n )}\n )} else { placeholder[Boolean](58) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 0,
"amount": 9999999799,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2fa50cdaf3eba4dadf4fb5cb1b65429fb41dc35fecb6860f5b7d6b01f8aa71bc",
"mainChain": true
}
],
"size": 9768,
"isUnconfirmed": false
}