Transaction
ID: 4a9f741c9f...4df6
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00225 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0025 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00125 ERG
Tokens:
0
Transaction Details
Confirmations: 759,333
Total coins transferred: 0.00625 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000162 ERG
Raw Transaction Data
{
"id": "4a9f741c9f130fec5f01af2668f2fc3d5d8e13249ed32fc4839fdc3cea084df6",
"blockId": "ce8a8c92d12c58b88759e6f6e2fc1cc5bbe460c63f5c96c8986447a6686c8a80",
"inclusionHeight": 1006814,
"timestamp": 1684469115400,
"index": 17,
"globalIndex": 5227582,
"numConfirmations": 759333,
"inputs": [
{
"boxId": "0a5b9ff1aa22bed5f4036fd7c3ca34cfb5da9da11050f07eb4377d643e021e58",
"value": 2250000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a2a1ac3064a219ebaefc59c1f9a7f2ecd6b6a7a697f547052a87240fb287fbd0",
"outputTransactionId": "d7b67719b514170956d1d661cfbc97c4ad6f77576077fdf92340f9f078c09345",
"outputIndex": 0,
"outputGlobalIndex": 29240115,
"outputCreatedAt": 1006787,
"outputSettledAt": 1006791,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 1,
"amount": 1001000000152,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0d4a9a586628e92c1c90d0200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684471625000,1821910151,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d050480a8d6b90780a8d6b907cef7f9be09eec49dc40b0400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1000000000,1000000000,1273970151,1547940151],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402a0cda385020002a0cda385020002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0],[273970000,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64027833e7d2b9513409fdee7c88f69fa6c550d90bda9608faff1f8c3c6c93b2dc3c010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "5a493177182f5826119dba778f4b49464cc986d1a721188f5d6d30bacd291da6",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bdb68b278157aa700d0852b3e03e2689bbeaa11c6142209643ec9342baa25129",
"outputTransactionId": "7f79b938866e1f31ca2b125734ad2474af4b58bbad2102352b97f9820a2bcc2c",
"outputIndex": 1,
"outputGlobalIndex": 29234424,
"outputCreatedAt": 1006595,
"outputSettledAt": 1006597,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\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(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)\n4: 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)\n5: 0\n6: 5\n7: 2\n8: 0\n9: 6\n10: 37\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 1\n17: 5\n18: 4\n19: 0\n20: 1\n21: 1\n22: 1\n23: 0\n24: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n25: 0\n26: 0\n27: 6\n28: 38\n29: 0\n30: 5\n31: 0\n32: 5\n33: 0\n34: 1\n35: 1\n36: 0\n37: 0\n38: 0\n39: 2\n40: 2\n41: -1\n42: 2\n43: 0\n44: 0\n45: -3\n46: 0\n47: 2\n48: 0\n49: 1\n50: 1\n51: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box5 = OUTPUTS(placeholder[Int](5))\n val coll6 = box5.R5[Coll[Long]].get\n val coll7 = box2.R5[Coll[Long]].get\n val l8 = box5.value - box2.value\n val coll9 = coll6.slice(placeholder[Int](6), coll6.size)\n val i10 = coll7.size\n val coll11 = coll4(placeholder[Int](7)).get\n val coll12 = coll11.slice(placeholder[Int](8), coll11.size - placeholder[Int](9) / placeholder[Int](10)).indices\n val coll13 = coll12.map(\n {(i13: Int) =>\n coll11.slice(\n placeholder[Int](11) + placeholder[Int](12) * i13 + placeholder[Int](13), placeholder[Int](14) + placeholder[Int](15) * i13 + placeholder[Int](16)\n )\n }\n )\n val coll14 = coll7.slice(placeholder[Int](17), i10).append(\n coll13.slice(i10 - placeholder[Int](18), coll12.size).map({(coll14: Coll[Byte]) => placeholder[Long](19) })\n )\n val coll15 = box5.tokens\n val l16 = coll15(placeholder[Int](20))._2 - coll3(placeholder[Int](21))._2\n val i17 = coll3.size\n val i18 = coll15.size\n val box19 = OUTPUTS(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](25))._1 == coll4(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)), box5.R4[\n Coll[AvlTree]\n ].get == box2.R4[Coll[AvlTree]].get, coll6.slice(placeholder[Int](29), placeholder[Int](30)) == coll7.slice(\n placeholder[Int](31), placeholder[Int](32)\n ), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[Coll[(AvlTree, AvlTree)]].get == box2.R7[\n Coll[(AvlTree, AvlTree)]\n ].get, box5.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n ), (l8 >= placeholder[Long](33)) && (coll9(placeholder[Int](34)) - coll14(placeholder[Int](35)) == l8), (l16 >= placeholder[Long](36)) && (\n coll9(placeholder[Int](37)) - coll14(placeholder[Int](38)) == l16\n ), coll3.slice(placeholder[Int](39), i17).zip(coll15.slice(placeholder[Int](40), i17)).forall({(tuple20: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple22 = tuple20._1\n val coll23 = tuple22._1\n val tuple24 = tuple20._2\n val i25 = coll13.indexOf(coll23, placeholder[Int](41))\n val l26 = tuple24._2 - tuple22._2\n val i27 = i25 + placeholder[Int](42)\n allOf(Coll[Boolean](coll23 == tuple24._1, i25 >= placeholder[Int](43), l26 == coll9(i27) - coll14(i27), l26 >= placeholder[Long](44)))\n }), coll15.slice(i17, i18).forall({(tuple20: (Coll[Byte], Long)) =>\n val i22 = coll13.indexOf(tuple20._1, placeholder[Int](45))\n val l23 = tuple20._2\n allOf(Coll[Boolean](i22 >= placeholder[Int](46), l23 == coll9(i22 + placeholder[Int](47)), l23 >= placeholder[Long](48)))\n }), i18 >= i17, allOf(\n Coll[Boolean](\n blake2b256(box19.propositionBytes) == coll4(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)), box19.value >= SELF.value\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "9106c2f54e84689b9291bd10f75ea80a889791e965a0b29d4de54f8dd98461c3",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "086944e04058b781c0430f7f078b21e37303a5e9e24da71584a19d6068026d15",
"outputTransactionId": "c29c4413668e521e408c2fa675cd91b970bea5cbe4a072cd7f5e33f6c003fde5",
"outputIndex": 3,
"outputGlobalIndex": 29235594,
"outputCreatedAt": 1006644,
"outputSettledAt": 1006646,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "cac5a079a7f57bee97736eab33fd6d3d6b30483f66824f2618ffa03a1d872f78",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "a2a1ac3064a219ebaefc59c1f9a7f2ecd6b6a7a697f547052a87240fb287fbd0",
"outputTransactionId": "7f87fcd8da74db2f58e7ad51219af612dad2b79b879a20b57c9cd2d6e97f5199",
"outputIndex": 3,
"outputGlobalIndex": 29240105,
"outputCreatedAt": 1006787,
"outputSettledAt": 1006791,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "2BvqgpV8gp1v9BynmbDh2RorVvr7ohXnfB5aSiCDA9pSVGaRMVsSkvi7Fc94kvZ531A4WHvhU3ar5zD9SrqXWnNvQSWEnVqLUzpCCZUsNSSEyZwzahHRsacB933LF8TFDEoTBSmNgvZb6cp1K8pz9L8yphy1aVM24aWbNjcRBsdGyQZK58AjzXuDEUtgxTG8z5YWXHBu859VwqdRgsRCVqtsdAoqKKNRBLGKR8tef77HN2TWXzt5J1H84tb3K2JYffdUkGFHtBMZvu8y2f7r1CgBQXmc4GFsrXQtWcKighdC5pmgzZiXAtFUTZanUfgWTAJyEWsYf1oxeJKjPQTudX3eeEnAfv1Q34QjiCu5uSmB4cukMzk1EA4xptvAFWviAH1ihnDBjdr2tEyTRWd3QjfXQh3hutFJ9UNd7wLdVSXjTQKTDzrdrZrd8BEGyMKD4eJWxAFr8fmMuG5P7YfdgW4dTjWDsEnxYRHJemKyb96zALfrJBXWjWM34vU8TfuLrMTenwmv4RbThH1Fn6FWnDYHyrFbjwhNp9y8PCVPqqCstArTHhMaj8xmhMV173nYpfJ6D1tk62wkmYfsbNB1nwdZnwzwMiwU9uop1gaT39wrjB8fv6sdH6mHvuAeTKRjmAhGNb9TsBkWQjhJo4BgMsyTPh69gwGCwqRJBT93gS27fGqyu6xT4Z1pTe3CC9N7TZsarheaXZmMAhoWUzhqrPw9bqC5GDtN9ynGmYJQn57uVvw35h9gqCyGiZt4fER75rtUnYXJR9QKMrM55q82PvptjxFnnaVtqx1arJKdEPWXbyq1ev4uMvndRcu51eBUrkGre3mywzBTcaEuZZVrii9yczf9kRVUQZPGsNP6E8v8D81B3yeoJUvfb7m6Xi9Ty62Z8bjwCtV4jQtWExvNb4H3PQm7nJ1Tk37HEZcAHgTWzqHxyYTSZ",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "b30e307f6291784c6d93a430718f9ecb9c5af9685ddf17d19d3162553b0a1b0c",
"value": 1000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "bd3f38190abdb97f9912708da0668de2a7ed9f20f90a83b847dbf7ca16813cd0",
"outputTransactionId": "69c165632f1711a83d58277f945c575061c604caa70ba72df73f3d8cf6cfac6e",
"outputIndex": 3,
"outputGlobalIndex": 29237634,
"outputCreatedAt": 1006713,
"outputSettledAt": 1006715,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "44230de89d5b333d36b2ed960fcbfbd4d5b8b47b0a0f7c529b2270235f0ee4e1",
"value": 1000000,
"index": 0,
"outputBlockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"outputTransactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e203071ea6139c7a76dcd7bcdde075b820b978e36b5c3c759f315d644d4665443050100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfUtEnzZVfYMoFo8REtotZo5A93TgULLHjkvSC7oEAELzqkU61A5HrFVhvT96bTET9cNcZ925f4ewrLdEycp1SULEpRDKdEFZcTsTuUHhvHYggg2R2GWNZE2wTb7FG7Gp6jzNrNrhAZKhEHqr42WN5Aw6Xq9JtvigcVAgJKZ5E2d5FuYLfzKdK5cUzn2p",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "642e25ffa44ec9e804fb6b78ca6530dd504939f4c8e6b794c85c3935f164fd598407072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "190ac73acb919cf1206cd69ded1a3a9bfef3552af79fc9aefbbb5882ad64cf6d",
"transactionId": "4a9f741c9f130fec5f01af2668f2fc3d5d8e13249ed32fc4839fdc3cea084df6",
"blockId": "ce8a8c92d12c58b88759e6f6e2fc1cc5bbe460c63f5c96c8986447a6686c8a80",
"value": 2500000,
"index": 0,
"globalIndex": 29243156,
"creationHeight": 1006812,
"settlementHeight": 1006814,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 1,
"amount": 1001000000303,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0d4a9a586628e92c1c90d020000ae02a0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684471625000,1821910151,1,0,0,151,250000]"
},
"R6": {
"serializedValue": "1d050480a8d6b90780a8d6b907cef7f9be09eec49dc40b0400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1000000000,1000000000,1273970151,1547940151],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402a0cda385020002a0cda385020002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0],[273970000,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64027833e7d2b9513409fdee7c88f69fa6c550d90bda9608faff1f8c3c6c93b2dc3c010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "7445a2cb8f5c682f696b131f90d4c4e1c80a5682390337fac6a5b7a3b5d3c6d0",
"mainChain": true
},
{
"boxId": "bcc722f0ccb18fbbc62ab8dd756f82f630a36dd846e3fb07c705222fe64dddf4",
"transactionId": "4a9f741c9f130fec5f01af2668f2fc3d5d8e13249ed32fc4839fdc3cea084df6",
"blockId": "ce8a8c92d12c58b88759e6f6e2fc1cc5bbe460c63f5c96c8986447a6686c8a80",
"value": 1000000,
"index": 1,
"globalIndex": 29243157,
"creationHeight": 1006812,
"settlementHeight": 1006814,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\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(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)\n4: 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)\n5: 0\n6: 5\n7: 2\n8: 0\n9: 6\n10: 37\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 1\n17: 5\n18: 4\n19: 0\n20: 1\n21: 1\n22: 1\n23: 0\n24: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n25: 0\n26: 0\n27: 6\n28: 38\n29: 0\n30: 5\n31: 0\n32: 5\n33: 0\n34: 1\n35: 1\n36: 0\n37: 0\n38: 0\n39: 2\n40: 2\n41: -1\n42: 2\n43: 0\n44: 0\n45: -3\n46: 0\n47: 2\n48: 0\n49: 1\n50: 1\n51: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box5 = OUTPUTS(placeholder[Int](5))\n val coll6 = box5.R5[Coll[Long]].get\n val coll7 = box2.R5[Coll[Long]].get\n val l8 = box5.value - box2.value\n val coll9 = coll6.slice(placeholder[Int](6), coll6.size)\n val i10 = coll7.size\n val coll11 = coll4(placeholder[Int](7)).get\n val coll12 = coll11.slice(placeholder[Int](8), coll11.size - placeholder[Int](9) / placeholder[Int](10)).indices\n val coll13 = coll12.map(\n {(i13: Int) =>\n coll11.slice(\n placeholder[Int](11) + placeholder[Int](12) * i13 + placeholder[Int](13), placeholder[Int](14) + placeholder[Int](15) * i13 + placeholder[Int](16)\n )\n }\n )\n val coll14 = coll7.slice(placeholder[Int](17), i10).append(\n coll13.slice(i10 - placeholder[Int](18), coll12.size).map({(coll14: Coll[Byte]) => placeholder[Long](19) })\n )\n val coll15 = box5.tokens\n val l16 = coll15(placeholder[Int](20))._2 - coll3(placeholder[Int](21))._2\n val i17 = coll3.size\n val i18 = coll15.size\n val box19 = OUTPUTS(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](25))._1 == coll4(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)), box5.R4[\n Coll[AvlTree]\n ].get == box2.R4[Coll[AvlTree]].get, coll6.slice(placeholder[Int](29), placeholder[Int](30)) == coll7.slice(\n placeholder[Int](31), placeholder[Int](32)\n ), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[Coll[(AvlTree, AvlTree)]].get == box2.R7[\n Coll[(AvlTree, AvlTree)]\n ].get, box5.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n ), (l8 >= placeholder[Long](33)) && (coll9(placeholder[Int](34)) - coll14(placeholder[Int](35)) == l8), (l16 >= placeholder[Long](36)) && (\n coll9(placeholder[Int](37)) - coll14(placeholder[Int](38)) == l16\n ), coll3.slice(placeholder[Int](39), i17).zip(coll15.slice(placeholder[Int](40), i17)).forall({(tuple20: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple22 = tuple20._1\n val coll23 = tuple22._1\n val tuple24 = tuple20._2\n val i25 = coll13.indexOf(coll23, placeholder[Int](41))\n val l26 = tuple24._2 - tuple22._2\n val i27 = i25 + placeholder[Int](42)\n allOf(Coll[Boolean](coll23 == tuple24._1, i25 >= placeholder[Int](43), l26 == coll9(i27) - coll14(i27), l26 >= placeholder[Long](44)))\n }), coll15.slice(i17, i18).forall({(tuple20: (Coll[Byte], Long)) =>\n val i22 = coll13.indexOf(tuple20._1, placeholder[Int](45))\n val l23 = tuple20._2\n allOf(Coll[Boolean](i22 >= placeholder[Int](46), l23 == coll9(i22 + placeholder[Int](47)), l23 >= placeholder[Long](48)))\n }), i18 >= i17, allOf(\n Coll[Boolean](\n blake2b256(box19.propositionBytes) == coll4(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)), box19.value >= SELF.value\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "001dba4751762f4cba8309292e5473301f08d69be5c901115c9b80525e4404f5",
"mainChain": true
},
{
"boxId": "504d2a42a58d0781799b3c434e17acdad01798162d30a4c569fbc12c4a321a55",
"transactionId": "4a9f741c9f130fec5f01af2668f2fc3d5d8e13249ed32fc4839fdc3cea084df6",
"blockId": "ce8a8c92d12c58b88759e6f6e2fc1cc5bbe460c63f5c96c8986447a6686c8a80",
"value": 1500000,
"index": 2,
"globalIndex": 29243158,
"creationHeight": 1006812,
"settlementHeight": 1006814,
"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": "a9dffa522100d3bd89cc4297d0a93a8ae1b318615a9f59d475771f0fe7924e3b",
"mainChain": true
},
{
"boxId": "819da2f202c236ec7452868941cb7d18eded4d5365742677129c234259e5062c",
"transactionId": "4a9f741c9f130fec5f01af2668f2fc3d5d8e13249ed32fc4839fdc3cea084df6",
"blockId": "ce8a8c92d12c58b88759e6f6e2fc1cc5bbe460c63f5c96c8986447a6686c8a80",
"value": 1250000,
"index": 3,
"globalIndex": 29243159,
"creationHeight": 1006812,
"settlementHeight": 1006814,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(48,113,-22,97,57,-57,-89,109,-51,123,-51,-34,7,91,-126,11,-105,-114,54,-75,-61,-57,89,-13,21,-42,68,-44,102,84,67,5)\n3: false\n4: Coll(44,-67,27,10,-103,-1,-93,73,-38,115,91,117,-30,-41,126,-60,31,76,106,-104,25,58,-116,121,-111,-128,54,-66,-97,-126,66,-96)\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: 0\n15: 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)\n16: 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)\n17: 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)\n18: 0\n19: 1\n20: 9\n21: 2\n22: 1\n23: 2\n24: 1\n25: 33\n26: 0\n27: 0\n28: 3\n29: 1\n30: 9\n31: 0\n32: 0\n33: 1\n34: 1\n35: 9\n36: 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)\n37: 1\n38: 1\n39: 9\n40: 0\n41: 0\n42: 0\n43: 1\n44: 9\n45: 1\n46: 1\n47: 1\n48: 1\n49: 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 = box6.R5[Coll[Long]].get\n val coll8 = SELF.propositionBytes\n val box9 = OUTPUTS.filter({(box9: Box) => box9.propositionBytes == coll8 })(placeholder[Int](8))\n val avlTree10 = CONTEXT.dataInputs(placeholder[Int](9)).R4[AvlTree].get\n val coll11 = getVar[Coll[Byte]](0.toByte).get\n val coll12 = INPUTS.filter({(box12: Box) => box12.propositionBytes == coll8 })\n val l13 = coll12.fold(placeholder[Long](10), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value })\n val coll14 = box9.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 bool17 = coll14.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 != coll2 }).forall({(tuple17: (Coll[Byte], Long)) => tuple17._2 == func15(tuple17._1) })\n val bool18 = coll12.flatMap({(box18: Box) => box18.tokens }).forall({(tuple18: (Coll[Byte], Long)) =>\n val coll20 = tuple18._1\n (coll20 == coll2) || box9.tokens.exists({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 })\n })\n if (coll5(placeholder[Int](13)) > coll7(placeholder[Int](14))) {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](15), placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17), coll3), coll11)\n val l20 = byteArrayToLong(coll19(placeholder[Int](18)).get.slice(placeholder[Int](19), placeholder[Int](20))) * coll5(placeholder[Int](21)) + placeholder[Long](22)\n val tuple21 = OUTPUTS.filter({(box21: Box) => blake2b256(box21.propositionBytes) == coll19(placeholder[Int](23)).get.slice(placeholder[Int](24), placeholder[Int](25)) })(placeholder[Int](26)).tokens(placeholder[Int](27))\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))), coll14.fold(placeholder[Long](31), {(tuple22: (Long, (Coll[Byte], Long))) =>\n val tuple24 = tuple22._2\n tuple22._1 + if (tuple24._1 == coll2) { tuple24._2 } else { placeholder[Long](32) }\n }) >= l16 - l20 - byteArrayToLong(coll19(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))), bool17, bool18, tuple21._1 == coll2, tuple21._2 >= l20))\n )} else {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](36), coll3), coll11)\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))), coll14.fold(placeholder[Long](40), {(tuple20: (Long, (Coll[Byte], Long))) =>\n val tuple22 = tuple20._2\n tuple20._1 + if (tuple22._1 == coll2) { tuple22._2 } else { placeholder[Long](41) }\n }) >= l16 - byteArrayToLong(coll19(placeholder[Int](42)).get.slice(placeholder[Int](43), placeholder[Int](44))), bool17, bool18, coll5(placeholder[Int](45)) > coll7(placeholder[Int](46)), box4.tokens(placeholder[Int](47))._2 == box6.tokens(placeholder[Int](48))._2))\n )}\n )} else { placeholder[Boolean](49) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 152,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7445a2cb8f5c682f696b131f90d4c4e1c80a5682390337fac6a5b7a3b5d3c6d0",
"mainChain": true
}
],
"size": 9239,
"isUnconfirmed": false
}