Transaction
ID: 090ec79d15...928b
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.265 ERG
Tokens:
9,999.34
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00015 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00385 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.26 ERG
Tokens:
9,999.32
Transaction Details
Confirmations: 581,610
Total coins transferred: 0.267 ERG
Fees: 0.00385 ERG
Fees per byte: 0.000000419 ERG
Raw Transaction Data
{
"id": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"inclusionHeight": 1174626,
"timestamp": 1704845774934,
"index": 2,
"globalIndex": 6444972,
"numConfirmations": 581610,
"inputs": [
{
"boxId": "fd408f341a19005f6d24f187684f3db621ee0f0065976f34035f78a62e98f225",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6294b76867e07a2998907c304bd2935df3e9b5a66d3b0079d8b3ace9899b09e5",
"outputTransactionId": "574a4766fa459ea92512d8f6d3a7b656bcdb9a131aede9c4ea0e9ba6c0d15722",
"outputIndex": 0,
"outputGlobalIndex": 35973427,
"outputCreatedAt": 1174564,
"outputSettledAt": 1174566,
"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(-81,24,111,-17,71,1,117,-104,-101,-100,-110,29,15,-116,-47,-122,41,-26,46,-107,57,-112,-127,101,-62,-17,-124,28,-126,66,-23,-75)\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": "bc57367811c3158252b29476525930d3deebb03a178e85ae90dd7d8aca938674",
"index": 0,
"amount": 1,
"name": "MyFirstDAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 1,
"amount": 1101000000001,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107eec1aa8b9e63809ac798a43a0200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1704845463671,1001290000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d050280e6bd85a43a80c0828fa43a020000020000023232023232",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1001270000000,1001280000000],[0,0],[0,0],[25,25],[25,25]]"
},
"R8": {
"serializedValue": "110280dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000a468ff7e7f6ca266d7b4686642882f550d69dc6f01002581d4cefb9ff0dc3051010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402fc2216304c9f3b1915798d8310cb5c61f51ece72c309a68e7377bb2a39e37476010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "92a05c7f5ae998b46fc3cf4f5c85b6dc3db1a48a37fbb386bbe86743c50043da",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6294b76867e07a2998907c304bd2935df3e9b5a66d3b0079d8b3ace9899b09e5",
"outputTransactionId": "626b6d5eb912d516865ddabe5825db3bc4d1308b0389e15ad6bf70863faafebf",
"outputIndex": 1,
"outputGlobalIndex": 35973420,
"outputCreatedAt": 1174564,
"outputSettledAt": 1174566,
"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: 5\n65: 6\n66: 37\n67: 5\n68: 6\n69: 37\n70: 1\n71: 3\n72: 0\n73: 0\n74: 3\n75: 1\n76: 9\n77: 1\n78: 5\n79: 0\n80: 1\n81: 1\n82: 33\n83: 0\n84: 0\n85: 6\n86: 38\n87: 1\n88: 2\n89: 2\n90: 3\n91: 0\n92: 4\n93: 0\n94: 0\n95: 1\n96: 3\n97: 4\n98: 1\n99: 0\n100: 100\n101: 1\n102: 0\n103: 1\n104: 0\n105: 2\n106: 1\n107: 9\n108: 1\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: 1\n129: 1\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(-81,24,111,-17,71,1,117,-104,-101,-100,-110,29,15,-116,-47,-122,41,-26,46,-107,57,-112,-127,101,-62,-17,-124,28,-126,66,-23,-75)",
"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[Long]].get\n val i30 = coll8.size\n val coll31 = coll3(placeholder[Int](60)).get\n val coll32 = coll31.slice(placeholder[Int](61), coll31.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll33 = coll8.slice(placeholder[Int](64), i30).append(\n coll32.map(\n {(i33: Int) =>\n coll31.slice(\n placeholder[Int](65) + placeholder[Int](66) * i33 + placeholder[Int](67), placeholder[Int](68) + placeholder[Int](69) * i33 + placeholder[Int](70)\n )\n }\n ).slice(i30 - placeholder[Int](71), coll32.size).map({(coll33: Coll[Byte]) => placeholder[Long](72) })\n )\n val l34 = coll33(placeholder[Int](73))\n val coll35 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i36 = byteArrayToLong(coll3(placeholder[Int](74)).get.slice(placeholder[Int](75), placeholder[Int](76))).toInt\n val i37 = i36 - placeholder[Int](77)\n val coll38 = box4.R6[Coll[Coll[Long]]].get\n val coll39 = coll7.slice(placeholder[Int](78), coll7.size)\n val l40 = coll8(placeholder[Int](79))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](80)).get.slice(placeholder[Int](81), placeholder[Int](82)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](83))._1 == coll3(placeholder[Int](84)).get.slice(placeholder[Int](85), placeholder[Int](86)), box6.tokens == coll5, coll7(\n placeholder[Int](87)\n ) == l9, coll7(placeholder[Int](88)) == coll8(placeholder[Int](89)), coll7(placeholder[Int](90)) == placeholder[Long](91), coll7(\n placeholder[Int](92)\n ) == placeholder[Long](93), coll10(placeholder[Int](94)).digest == coll12, coll10(placeholder[Int](95)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](96)), coll19(i17) == coll8(placeholder[Int](97)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](98)\n ) == max(\n placeholder[Byte](99), min(\n placeholder[Byte](100) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](101)) } else { placeholder[Byte](102) }\n )\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](103)).digest, coll29(placeholder[Int](104)) == min(\n byteArrayToLong(coll3(placeholder[Int](105)).get.slice(placeholder[Int](106), placeholder[Int](107))), coll5(\n placeholder[Int](108)\n )._2 - l9 - l34 - placeholder[Long](109)\n ) + l34\n )\n ), allOf(\n Coll[Boolean](\n coll35(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i37) == coll35.slice(\n placeholder[Int](112), i36\n ), coll18.slice(placeholder[Int](113), i37) == coll38(placeholder[Int](114)).slice(placeholder[Int](115), i36), coll19.slice(\n placeholder[Int](116), i37\n ) == coll38(placeholder[Int](117)).slice(placeholder[Int](118), i36), coll20.slice(placeholder[Int](119), i37) == coll38(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i36), coll23.slice(placeholder[Int](122), i37) == coll38(placeholder[Int](123)).slice(\n placeholder[Int](124), i36\n ), coll15.slice(placeholder[Int](125), i37) == coll38(placeholder[Int](126)).slice(placeholder[Int](127), i36)\n )\n ), coll29.slice(placeholder[Int](128), coll33.size).indices.forall({(i41: Int) =>\n val i43 = i41 + placeholder[Int](129)\n coll29(i43) == coll33(i43)\n }), allOf(Coll[Boolean](i27 == i36, i16 == i36, coll20.size == i36, i24 == i36, coll18.size == i36, coll19.size == i36)), coll39.indices.forall(\n {(i41: Int) => coll39(i41) == coll29(i41) }\n ), coll7(placeholder[Int](130)) == l40 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l40 <= 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": "5112cf7a88d8bc5a1fc26326dc826da774456bb02e2cc60895b2022897e8c0d5",
"value": 265000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6294b76867e07a2998907c304bd2935df3e9b5a66d3b0079d8b3ace9899b09e5",
"outputTransactionId": "574a4766fa459ea92512d8f6d3a7b656bcdb9a131aede9c4ea0e9ba6c0d15722",
"outputIndex": 4,
"outputGlobalIndex": 35973431,
"outputCreatedAt": 1174564,
"outputSettledAt": 1174566,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(70,47,-51,40,84,79,105,33,97,72,49,118,-95,49,53,51,38,-4,105,80,-75,64,-64,-125,107,-100,93,-25,52,-91,-35,-37)\n3: false\n4: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\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": "4MMmFUAxCSARjbEecQiizVuo5bVrsUMXHva9P5AFAJrQqT6WjHStLikMJqAyJJPMZiSAwzEVFd3XaybFjkPpDD7hoYuQevfcx9J4ecQZVgr5HRmEnWo3shiVLxDDKSrE27C6LbyStgPGHY23seQf151ZgJ8w7PET5h2KCkE9o3qDmmafHKW9pXb4R1rE7A4orKmWPS67Xgr7Pk7LTGRb8C7uYgYqwQJdnPg89Dg21iEdo99f6P1ssRW6hHdbjZhqNdQB5VGYTyg5XZLz56kfEzmnFEW1QDEV8GijbSJ5kcigvPv5uNDcrt1J22xUG94ssbjtEeggEyASXwcKZ4o1VA7bhWMuh587FT1iMRkhD4BFxUAq2owPD8tpNoQNNXpa9kYYnCAQ1vdMiikPjctfYMjvVKTubpWd1HBv8XRcECPUq5uYFgSEnsbEAQ74BwfDiNWjdmGHq69fDRzfkx2i6nM9u59W9idv8f34nDJFHZVov6t5Xq3D4wKcNR3141WCKoT4M8yE81q6fLvi7AGPEz4Hjdxs4FiNLTrbWaGeXBWLr7hBoJrEDFMXQUAa4Erqa4CCEVGNpDqbqH4YNcDjbcyvCLruYaFuwJn8xefvmNWoGX5LQRVcJyJmPrR7KG1qEpnLYgtAyftcJoFiuEY84XRgm6MosnoXFAT4t5Je9FdtrpxqUZAopzJnbKDX8GhEEx2pBQa3u753bvVDWJ8fvmKSKhPT4UQdz8gcAtz7ECCjyCiefASFFTruJV3DqvUdWAbhNmTjjt1QnaEVevR7MGev2Uvcfg67pwN3q9pt4JbfmxQVx7by4mKatrx9Lsi58PasCMRLnJd2NdVDomuU4r3q17QFNpkAf9GXAhwLSwhjS45wwtz5rHb3ZAfF6mWtN4oMuL9mnkwJLmdNEtpyJQEgv22j7pnk9eb22Ts86twxV3Lw31VajWQUX9KDpYLXucfKDPLjtFy3GmL8fDFBQoTinfUnpFigcLwc1nNbYBuGWgkCG4e9QNUnA4HpCNBabtm3S2dUbivEF1wahbzBPvyzgR9nhkDPCTkQM3W9F5gb8XEbNEzyiNdP76ZtvYH4f1xsXeaLqyqW7uPXLqgL1dYYmDZicdwcF4QhBrdxyA9Zjgh36oXrm19qTPGrLdCNvf8f7egrFyjdAsQZAHBjcMYekZ9VXtQ121r7FzipZabWngACSrFqadwVAfjjyLDUMNJzPzD2AAGVjh4BoYcPCzgo3y1EHbakBpyUWEP8pKNyvRBBZEDmC8kVsZvPnbC4aHEb7YpPT5CuTjN3bETPx2Yyf9WLFCRwjzn9UQGU3LoPfQjqSKCuDyoJAqzZ8ZLjrksNtcvzx83usjT8vLohsZD1PiZD1cWbwrMr24za7nxDborvA2ZcizLfXVnkmbBR96dg1VzuZgNueeVFv5j6ED4AM2FEgHsRSbTAAuxT2f2HcVG8PyqZyjPpGVcmpFn3oPkSqSBv2WxWFwRznk7dcappVaPCamwfwt1nnv5T6XXNNj7HpRr9dcB9hr1A8BPXWSwoc9SaPHoEad1",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 99993371,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "11ea56b3913738ebe361a6b675a12ea904f7c30d8047017115fb9e60b6799397",
"value": 1000000,
"index": 0,
"outputBlockId": "dd862bbb0b4ab4154612b54ce6d02c75dd99c170c21c7d11fecf2d21f4a8f20d",
"outputTransactionId": "3f83fe02023560e531dec404e610f53878f62355b66c7bb5b7c5dbb4447aadeb",
"outputIndex": 1,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20462fcd28544f692161483176a131353326fc6950b540c0836b9c5de734a5dddb0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfc8iwVgt5EsbRdPHBjuffeoMRFU7cR6YU4M1H9dcq14BX6g9q1pMHmvLZxkxc5LAioog27rMaELFkCyG79nS1ppciYBGHGg6sfBoFEbPEHJ8cZ5YsEVXWGHU5CmrTJJae674GzEsbXQbdrZX2AvcnUg1EKFo59SSbqvfzhnvE1eN95yU6X9nmigA39ux",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6447523471d950c3751e67146da6fba22a49be7c83f13dcc75d9b6cf49fb1a712606072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "4aeec5fc302bbbb1d339687206759a8ab91321fa25ac3454cb95d43f86aa56d3",
"value": 1000000,
"index": 1,
"outputBlockId": "94bc65df5765da1afa3183b16efc7b2e5582ddcdebbe94ea4e071f1826de3ede",
"outputTransactionId": "96c6b65e9366e961a6fbe83662de22f7d978a5d8e0070aced3b60b2573acbef2",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64270150e06772c90f006c9252ef6c18ac683dcb1a7fc085880e394417e685af4708072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "a15f1b35d6ab0f9f7a1b2515712ed2d5fd76a39d3ccf386c7b2b189faa44609d",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 1000000,
"index": 0,
"globalIndex": 35975003,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"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(-81,24,111,-17,71,1,117,-104,-101,-100,-110,29,15,-116,-47,-122,41,-26,46,-107,57,-112,-127,101,-62,-17,-124,28,-126,66,-23,-75)\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": "bc57367811c3158252b29476525930d3deebb03a178e85ae90dd7d8aca938674",
"index": 0,
"amount": 1,
"name": "MyFirstDAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 1,
"amount": 1101000000001,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107eeb599929e63809ac798a43a02000080dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1704852663671,1001290000000,1,0,0,10000000,0]"
},
"R6": {
"serializedValue": "1d050280c0828fa43a809ac798a43a020000020000023232023232",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1001280000000,1001290000000],[0,0],[0,0],[25,25],[25,25]]"
},
"R8": {
"serializedValue": "110280dac40900",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,0]"
},
"R7": {
"serializedValue": "0c3c646402a468ff7e7f6ca266d7b4686642882f550d69dc6f01002581d4cefb9ff0dc3051010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fc2216304c9f3b1915798d8310cb5c61f51ece72c309a68e7377bb2a39e37476010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402fc2216304c9f3b1915798d8310cb5c61f51ece72c309a68e7377bb2a39e37476010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "5bb955f35f392288893cc3d0d3e5620e359b30ed08ab2ee6d52a5631554db5c4",
"mainChain": true
},
{
"boxId": "c84535a6705de4f8151fc3d490a9281f78f6cf1cc0952cb25178af4186c07cbd",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 1000000,
"index": 1,
"globalIndex": 35975004,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"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: 5\n65: 6\n66: 37\n67: 5\n68: 6\n69: 37\n70: 1\n71: 3\n72: 0\n73: 0\n74: 3\n75: 1\n76: 9\n77: 1\n78: 5\n79: 0\n80: 1\n81: 1\n82: 33\n83: 0\n84: 0\n85: 6\n86: 38\n87: 1\n88: 2\n89: 2\n90: 3\n91: 0\n92: 4\n93: 0\n94: 0\n95: 1\n96: 3\n97: 4\n98: 1\n99: 0\n100: 100\n101: 1\n102: 0\n103: 1\n104: 0\n105: 2\n106: 1\n107: 9\n108: 1\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: 1\n129: 1\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(-81,24,111,-17,71,1,117,-104,-101,-100,-110,29,15,-116,-47,-122,41,-26,46,-107,57,-112,-127,101,-62,-17,-124,28,-126,66,-23,-75)",
"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[Long]].get\n val i30 = coll8.size\n val coll31 = coll3(placeholder[Int](60)).get\n val coll32 = coll31.slice(placeholder[Int](61), coll31.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll33 = coll8.slice(placeholder[Int](64), i30).append(\n coll32.map(\n {(i33: Int) =>\n coll31.slice(\n placeholder[Int](65) + placeholder[Int](66) * i33 + placeholder[Int](67), placeholder[Int](68) + placeholder[Int](69) * i33 + placeholder[Int](70)\n )\n }\n ).slice(i30 - placeholder[Int](71), coll32.size).map({(coll33: Coll[Byte]) => placeholder[Long](72) })\n )\n val l34 = coll33(placeholder[Int](73))\n val coll35 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i36 = byteArrayToLong(coll3(placeholder[Int](74)).get.slice(placeholder[Int](75), placeholder[Int](76))).toInt\n val i37 = i36 - placeholder[Int](77)\n val coll38 = box4.R6[Coll[Coll[Long]]].get\n val coll39 = coll7.slice(placeholder[Int](78), coll7.size)\n val l40 = coll8(placeholder[Int](79))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](80)).get.slice(placeholder[Int](81), placeholder[Int](82)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](83))._1 == coll3(placeholder[Int](84)).get.slice(placeholder[Int](85), placeholder[Int](86)), box6.tokens == coll5, coll7(\n placeholder[Int](87)\n ) == l9, coll7(placeholder[Int](88)) == coll8(placeholder[Int](89)), coll7(placeholder[Int](90)) == placeholder[Long](91), coll7(\n placeholder[Int](92)\n ) == placeholder[Long](93), coll10(placeholder[Int](94)).digest == coll12, coll10(placeholder[Int](95)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](96)), coll19(i17) == coll8(placeholder[Int](97)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](98)\n ) == max(\n placeholder[Byte](99), min(\n placeholder[Byte](100) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](101)) } else { placeholder[Byte](102) }\n )\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](103)).digest, coll29(placeholder[Int](104)) == min(\n byteArrayToLong(coll3(placeholder[Int](105)).get.slice(placeholder[Int](106), placeholder[Int](107))), coll5(\n placeholder[Int](108)\n )._2 - l9 - l34 - placeholder[Long](109)\n ) + l34\n )\n ), allOf(\n Coll[Boolean](\n coll35(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i37) == coll35.slice(\n placeholder[Int](112), i36\n ), coll18.slice(placeholder[Int](113), i37) == coll38(placeholder[Int](114)).slice(placeholder[Int](115), i36), coll19.slice(\n placeholder[Int](116), i37\n ) == coll38(placeholder[Int](117)).slice(placeholder[Int](118), i36), coll20.slice(placeholder[Int](119), i37) == coll38(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i36), coll23.slice(placeholder[Int](122), i37) == coll38(placeholder[Int](123)).slice(\n placeholder[Int](124), i36\n ), coll15.slice(placeholder[Int](125), i37) == coll38(placeholder[Int](126)).slice(placeholder[Int](127), i36)\n )\n ), coll29.slice(placeholder[Int](128), coll33.size).indices.forall({(i41: Int) =>\n val i43 = i41 + placeholder[Int](129)\n coll29(i43) == coll33(i43)\n }), allOf(Coll[Boolean](i27 == i36, i16 == i36, coll20.size == i36, i24 == i36, coll18.size == i36, coll19.size == i36)), coll39.indices.forall(\n {(i41: Int) => coll39(i41) == coll29(i41) }\n ), coll7(placeholder[Int](130)) == l40 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l40 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "52hsiC3jD2jAj46cUJwUvXrKgoE56XHnKzDpPyF1GgXSGuM8uAoq6XNTvsf6iWeakvgQh4Hvd5FZQF2kYEJdH1ByFYFLB1Ms7vbNrDKurDmrQDAHdbKQCxBRyZvhk4FMCN5fe7gxzW5PCFN8qPGCAjioLAH1Qzfkjh5zdcJXUaLYt2D1b6F8pLWNfFJH5APo2xT25d6gHApKVpopQTn1BRL9e5axsFVjijxbsbgW5G3eVbuGn9E8uEWLvmgi46zV5F6snsaqQe76Po4mHsFk5g9RcmKZsM5AMfnigNGNk21f9Xz5vcA9gSbVuTpxjApDV7coW79K5WwbrBX1etD4TTEX6thK7y9wYzCvE4Q8k8H8LS9URGfFSP7mCAwZPPWgTQDQhWvjjxzkRSqo1P6iFuhpSgMmhNvRDUufsLmRSsPB73VPxKVuB6nSeyznYi9vzQ48CDcS8F5UzwWhoZEf2v93QWy6ZpQvHxrbwSXfQLzgqFpVvpg5BqUtaQob81XE7dQNu3inBRpwZYHLdjmE5uWFjezECQxfnjBrBsv8tUp18NsHpBweut8vy2FLHeNosDGPhyg61EudBehPbVFFcXSFDdsKxryZtChVDGZ67uoVoSVSRqHLgBLRLZxKQuM5T1tWpQ516FWei3mfNScwiq8jmcvgdGbsteUqNdhjsDsttYUkj25NyTRYWHxZ9AJyuSAfBr5Cgcc5h3USs2o2j5Y4JbJRAw5HUc3fgszXuZVEPaaRipXXDKcAK7rgcmaSUtAZskZoKeGGA2iKBmUFx6xxBJYkYMyb9qgXDWhNsrpJA6WP6Q7DgEDxxCYbbm3kWwoVY3jLhebpk3rvJbqnx3zCYwvmCgNDyVVg64keGA6g2e2LKGymxPRpbzK5mNMJFyBC9StCFE5B5pFju4t9EqXTUMUeeaoDX6KRyVhEEJyeFhnzb2GF2mskDR17pFRYYJsSFqkuYqskcdpctLBB5vBRPG7r56n2CdsMZb7y1C3netwAMWfLb1yNeosS9sca8S9iQG4YFJU6QFA8oz68CRppssFEqhkMMvtdhaFLEx1mru8o3JYeVaBjPAuVcJbyWZdQTRjkdvYkZeivaXWTqJyqNp4k8gGxAJw5wWt4oJepbucweow4QVJ2HJeaD1HaJZvvvG8emom3nUe2tjGHRgjXgx4P8afktfjbvGkbBpRrPQ7qu2juMR8hCjVvoTgGCsdYjyPtoPqPQ9dQGE616Lhz2iXj21eV4rJoKR3wYqRj5JKwLs1pbzgKrGGsQTeujEDx9crMS1MQm2Wi9VExuHRt8QZhPSwwFXYGz1XnQSUwRmYSamU4bRzRnf7JGkEFbHMMvTcoGvtF3hpchbgGRrNU4h9WPeQGfjWo9TwAUDcfG9omyhCkjBAgYsmCMubs3EtCcKHKcf9VBMwrA3CXd5HBasmjXxmHcWjMJEbDNRRAZxY8rUVgs8TpCf5qx2w9Sf2zS2FYMYGuubqByP8sMawH461YehaNkfgAidu5Vsa8CeuBJCoVvxns6LPDEJHYBRP48FychPrTFSs9u35wx6WS1a7491b1i8fwqBsE7KNVVFmYS1bnL9D1rZskHx7XoxgZdVNx56kT4nHxCaSKFatbTLwQiRZX7xUw6bNSxAmMwNWApLkn7k3yzMMFsXHJHm24SVVSTRR6qVrXMKJpjVp365ZuyXU7j4czUhgci1iMqk2CgYwqCJ7s5yS5zbup5fe1xeVQrAH6kML54TM2J5ZdmHCAhqYHRerxGUtshpjaUsCyz11XwfTJJZFfyHRwjWT1Ltanr7U9mARUDoXeLAGCHXu3R54peMZba6hB3vuSE6PPEyxJxDpJpx6AHqDuJfALypJJ2csBzGjaA7uZA3h6z2zJtAL1xRVZ3bEtZX6odRP4w7F1gDbTsXwGzNghZ49QGDoNCxakngtnenWANeXR5L9nPoeBXYUegf3X5zBwRUcydXVqWuqsHL7BV11AG6jSmrqj5nb4WFgdzPD29HR9fGxLAqAXNKnohhhMzQLdT2WR4rpivXxnzTvmMzETqtyCHYrmqHhYGqjhndWLCQUyyofeicrcysnyKVLjqSpnMWCBNoKTgcXsRvZN3EgirWCnxS69gYMHTuAW5Gz2vR3NxHaVDzvMAfbACjMvf6qnCjCayqmRveUJ2vEkzbFpC8DcXuPnV3bCA4QbzoSjCvmn2A8eEQNyoY1Ny9xuZQR2RfnbVCJNrADTs6u8yQa13npGAWCxgxFLEJxtL",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "9d463c2de69732fc0a08594c295ce18961cb0639ba164d3775ea1bca6d3b5a1f",
"mainChain": true
},
{
"boxId": "638c655dbf8912cd67af4f1adfeaf1360b106241d2cffb129722c9080989f846",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 150000,
"index": 2,
"globalIndex": 35975005,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"ergoTree": "0008cd023812ba777e72f8e606cda4d4faa2288d439a16cd7c462dc12d3e10a317b019e7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3812ba,bc1fbe,...)))}",
"address": "9ewkq1bvnTdmEc7zwmVBxN8rKri8cYNQbgJtMLUxLsFu5AcDCWE",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 100,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1bc965dfef50c973cbf337c139dae796a9153d5d89446709ad1bfa60a75d566b",
"mainChain": true
},
{
"boxId": "5a76de0dcb68119c78bb022d89d6c03d2cd44bf985923dae8257c2a064b6abad",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 1000000,
"index": 3,
"globalIndex": 35975006,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"ergoTree": "102c04000e20c7c537e6c635930ecb4ace95a54926b3ab77698d9f4922f0b1c58ea87156483b0e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20fe21b973ccb4d91f288b1c5b3a4f6d9e0c52f6b163c387a2370eb4f9b4001a3e0e20b8c32c0b9e42cc86d030b2618e5a06c0d2eb2ba0641f090685b985edab10956f0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a204040402040004000400040204420400040804000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f90400040404080402040204420580897a05c8010406040c044c0400040c044a040c044a040a040c044a040205000500050005000500050005c801d807d601b2db6501fe730000d602dc640be4c6720104640283050e73017302730373047305e4e3000ed603b2e4b27202730600730700d604b2a5730800d605b2a4730900d606b2b5a5d901066393cbc27206b4e4b27202730a00730b730c730d00d607e4b27202730e00d1ed938cb2db63087201730f0001731095907e720304731193b1a57312d802d60899c17204c17205d6097e7203059683040193b1a5731393cbc27204b4e4b2720273140073157316939d9c9a720899c172067317720973187208afb383010eb4e4b27202731900731a731baddb0c0eb47207731c9d99b17207731d731ed9010a04b472079a9a731f9c7320720a73219a73229c73239a720a7324d9010a0ed801d60c99b0db630872047325d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027326b0db630872057327d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027328939d9c9a720cb0db630872067329d9010d414d0ed801d60f8c720d029a8c720d0195938c720f01720a8c720f02732a7209732b720c",
"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(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\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": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "f5be2abbf541a3b280cba96b5b6982a018831d49822ce968f49cf8b0c73b6be1",
"mainChain": true
},
{
"boxId": "44c658f381edaab4f9966aace1c46245f62ca224678b776340cd87bcafd98990",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 3850000,
"index": 4,
"globalIndex": 35975007,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"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": "60da106ef44b1c7f4cc7e71e254e036c193759148e7abccf87d55a784ba5308b",
"mainChain": true
},
{
"boxId": "44013755791cfe0ed4fb026b34e7f68a8c991f649070b2af656d1597857887a0",
"transactionId": "090ec79d15ecf51f6a5994b0bc2567f720dd4e4b7dd4e035a20f46d56644928b",
"blockId": "6981aed20508d704bf7360158abf126cd64b1355d249851f13fb3d43c882659f",
"value": 260000000,
"index": 5,
"globalIndex": 35975008,
"creationHeight": 1174624,
"settlementHeight": 1174626,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(70,47,-51,40,84,79,105,33,97,72,49,118,-95,49,53,51,38,-4,105,80,-75,64,-64,-125,107,-100,93,-25,52,-91,-35,-37)\n3: false\n4: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\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": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 99993170,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5bb955f35f392288893cc3d0d3e5620e359b30ed08ab2ee6d52a5631554db5c4",
"mainChain": true
}
],
"size": 9188,
"isUnconfirmed": false
}