Transaction
ID: 4f9200f535...b3a8
Inputs (5)
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:
0.001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00225 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Unspent
Transaction Details
Confirmations: 748,510
Total coins transferred: 0.006 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000164 ERG
Raw Transaction Data
{
"id": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"blockId": "891a5580fb8eee8a39f6c236bd3378e75aec938566e4378395963ac5ebc01d13",
"inclusionHeight": 1011391,
"timestamp": 1685022884535,
"index": 2,
"globalIndex": 5264117,
"numConfirmations": 748510,
"inputs": [
{
"boxId": "bc3c0f26b3b83dd80eb0b09e5630e82aecdc2bea25ff3134b6d19b6e895449dd",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "18d4df2f4ca55d4c4039322af971d54a9f0863cfea226964fd7b6529eb780dc5",
"outputTransactionId": "9b0402700cd07d7b61b88e354e8c8409d8144fd75e5ee7fe915db7c89ea6e8ab",
"outputIndex": 0,
"outputGlobalIndex": 29432365,
"outputCreatedAt": 1011359,
"outputSettledAt": 1011361,
"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": "1107c092c8b78a62c0c29dc40b0200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685027620000,1547940000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501a0f5f9be0901020180a8d6b90701140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1273970000],[1],[1000000000],[10],[10]]"
},
"R8": {
"serializedValue": "1d0102a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004e8b69018ea0f2a4e1e5f0490d87b4d85e8cc7d20cdf9c10ebfa28316f693dc601072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64026d126fbd81096493b4bac71ffecc8e588ffa4557cd2b2708d9a833ecddb4fcb6010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "31e456b2252e0a3df963e1291ceb5caaed9899463b3c7bfdd60c6bd8e5c9e5c3",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9939496017621d1b5c534dc561edf66fe6056fc69bfdcae22daccce394b5899b",
"outputTransactionId": "3df0d8b77acf869c3eab6fb9956d16f5bd3c1f8aa44a999d67959d76c056aed2",
"outputIndex": 9,
"outputGlobalIndex": 29429450,
"outputCreatedAt": 1011266,
"outputSettledAt": 1011269,
"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(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)\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": "930f03d949acebb9a930a8d93952bdd31e86ee723eb9cad45fab4dea72d140eb",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "bd850101baea337db9b445d7d6dbf54e580844931f2d8f9f56a012e934125c7e",
"outputTransactionId": "a0568a54ba83cfc1f530f9b267c32e94333aec06b95ab5014ea9986406c30dd8",
"outputIndex": 3,
"outputGlobalIndex": 29432344,
"outputCreatedAt": 1011358,
"outputSettledAt": 1011360,
"ergoTree": "102c04000e20c7c537e6c635930ecb4ace95a54926b3ab77698d9f4922f0b1c58ea87156483b0e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20fe21b973ccb4d91f288b1c5b3a4f6d9e0c52f6b163c387a2370eb4f9b4001a3e0e20b8c32c0b9e42cc86d030b2618e5a06c0d2eb2ba0641f090685b985edab10956f0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a204040402040004000400040204420400040804000e20150d52705ac807a279e701eb88e0c489f60810d15a3f411b497d45fa3686aacf0400040404080402040204420580897a05c8010406040c044c0400040c044a040c044a040a040c044a040205000500050005000500050005c801d807d601b2db6501fe730000d602dc640be4c6720104640283050e73017302730373047305e4e3000ed603b2e4b27202730600730700d604b2a5730800d605b2a4730900d606b2b5a5d901066393cbc27206b4e4b27202730a00730b730c730d00d607e4b27202730e00d1ed938cb2db63087201730f0001731095907e720304731193b1a57312d802d60899c17204c17205d6097e7203059683040193b1a5731393cbc27204b4e4b2720273140073157316939d9c9a720899c172067317720973187208afb383010eb4e4b27202731900731a731baddb0c0eb47207731c9d99b17207731d731ed9010a04b472079a9a731f9c7320720a73219a73229c73239a720a7324d9010a0ed801d60c99b0db630872047325d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027326b0db630872057327d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027328939d9c9a720cb0db630872067329d9010d414d0ed801d60f8c720d029a8c720d0195938c720f01720a8c720f02732a7209732b720c",
"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": {}
},
{
"boxId": "950e7bf336280e4814d6f743162a82bbfe6bb3404bc3004011824a5770ab072b",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"outputTransactionId": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"outputIndex": 1,
"outputGlobalIndex": 29430438,
"outputCreatedAt": 1011321,
"outputSettledAt": 1011323,
"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": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c746b36c90aac86c9e759de47e1264f5b0fe95b8ba62b3834e7d6a3256986976",
"value": 1000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "a8375a56ea931f4864b5d862d0514aff3be45632a2c590deabf180d7a406abef",
"outputTransactionId": "9031358eae4e4e5b2c1360bc54de68a195db306451daebd277a9bfad4f218687",
"outputIndex": 3,
"outputGlobalIndex": 29429587,
"outputCreatedAt": 1011275,
"outputSettledAt": 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": {}
}
],
"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": "fa6e7d6cfb86da3d23ea95218636029e80589e6a4399ceea88770fce94b26a96",
"transactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"blockId": "891a5580fb8eee8a39f6c236bd3378e75aec938566e4378395963ac5ebc01d13",
"value": 2250000,
"index": 0,
"globalIndex": 29433199,
"creationHeight": 1011389,
"settlementHeight": 1011391,
"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": 1001000005102,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c092c8b78a62c0c29dc40b020000da4fa0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685027620000,1547940000,1,0,0,5101,250000]"
},
"R6": {
"serializedValue": "1d0501a0f5f9be0901020180a8d6b90701140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1273970000],[1],[1000000000],[10],[10]]"
},
"R8": {
"serializedValue": "1d0102a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004e8b69018ea0f2a4e1e5f0490d87b4d85e8cc7d20cdf9c10ebfa28316f693dc601072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64026d126fbd81096493b4bac71ffecc8e588ffa4557cd2b2708d9a833ecddb4fcb6010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "544cc6e6738fc773b20b4a5f52f5c5cab689b35c0d7a54faf09b4a05c2c0f71b",
"mainChain": true
},
{
"boxId": "594934f2576f9dac3d638122790f00c78739c8b9c7febd10eba38e64ed0e0922",
"transactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"blockId": "891a5580fb8eee8a39f6c236bd3378e75aec938566e4378395963ac5ebc01d13",
"value": 1000000,
"index": 1,
"globalIndex": 29433200,
"creationHeight": 1011389,
"settlementHeight": 1011391,
"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(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)\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": null,
"mainChain": true
},
{
"boxId": "39d115f79bab731190f04678279204f33890b3f9f6f1c45623c3ed57a60d891a",
"transactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"blockId": "891a5580fb8eee8a39f6c236bd3378e75aec938566e4378395963ac5ebc01d13",
"value": 1500000,
"index": 2,
"globalIndex": 29433201,
"creationHeight": 1011389,
"settlementHeight": 1011391,
"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": "e5d38f11354f1b4cb7602f31cfbc43158a1d28d5b69635f268ab906f23721d73",
"mainChain": true
},
{
"boxId": "e75ba0f4bea932e2361377cfa484d6688c03d2390eeb3751dc7a472294a395b0",
"transactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"blockId": "891a5580fb8eee8a39f6c236bd3378e75aec938566e4378395963ac5ebc01d13",
"value": 1250000,
"index": 3,
"globalIndex": 29433202,
"creationHeight": 1011389,
"settlementHeight": 1011391,
"ergoTree": "103b040004000e20893c0624108bbf19fdeb7735b283434775040fbfb264f9154509b2674a7e813001000e2040d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e910e205bcff102254366780cd5191257050a6ed33ac5d12eef0e304139ed5d981f4bfa040004000400040205000500050004000e20892e6f47a10d5c90b87ad4863355cead00c3e2983217ee15533253cd9a6025c20e204fd8b0d6d98242726f57b3dfa686126792b8e5056e1d51b6e90d6880cf2dcdc5040004000e20225e3fc5d189f547d9c626bebdc671398b6c007c783dc47f903f24bf7f3484790e20bc4a5ab9e45ab74b79faecbf67496cc2bf8c2b0e55dbe8accfc39d14891174900e20767caa80b98e496ad8a9f689c4410ae453327f0f95e95084c0ae206350793b7704000402041204040502040404020442040004000406040204120500050004020402041204020402040204420e20ecf2d04bae48a00a8a6e49c0567263c9f5d23f26c82358a176abd1f021d8b130040204020412050005000400040204120402040004020442040204020100d803d601aea4d9010163d801d603db630872019591b172037300938cb272037301000173027303d6027304d6037305d197830201720195ef7201d810d604b2a5730600d605e4c672040511d606b2a4730700d607c2a7d608b2b5a5d901086393c272087207730800d609db6501fed60ae4c6b272097309000464d60be4e3000ed60cb5a4d9010c6393c2720c7207d60db0720c730ad9010d41639a8c720d01c18c720d02d60edb63087208d60fd9010f0eb0dc0c0f720c01d9011163db63087211730bd90111414d0ed801d6138c7211029a8c72110195938c721301720f8c721302730cd610da720f017202d611dc640be4c6b27209730d0004640283020e730e730fe4e3010ed612afb5720ed901124d0e948c7212017202d901124d0e938c721202da720f018c721201d613afdc0c0f720c01d9011363db63087213d901134d0ed801d6158c721301ec9372157202aedb63087208d901164d0e938c72160172159591b27205731000b2e4c672060511731100d803d614dc640b720a0283040e7312731373147203720bd6159a9c7cb4e4b2721473150073167317b272057318007319d616b2db6308b2b5a5d901166393cbc27216b4e4b27214731a00731b731c731d00731e009683070192c1720899720d7cb4e4b27214731f007320732192b0720e7322d90117414d0ed801d6198c7217029a8c72170195938c72190172028c72190273239999721072157cb4e4b272147324007325732672127213938c7216017202928c721602721593cbc2b2a4732700b4e4b272117328007329732ad801d614dc640b720a0283020e732b7203720b9683060192c1720899720d7cb4e4b27214732c00732d732e92b0720e732fd90115414d0ed801d6178c7215029a8c72150195938c72170172028c72170273309972107cb4e4b27214733100733273337212721393cbc2b2a4733400b4e4b2721173350073367337938cb2db63087204733800028cb2db6308720673390002733a",
"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": 5101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
}
],
"size": 9149,
"isUnconfirmed": false
}