Transaction
ID: 78ffb7bfd2...b3df
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0025 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.4735 ERG
Tokens:
99,999.85
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0025 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.4705 ERG
Tokens:
99,999.83
Transaction Details
Confirmations: 751,935
Total coins transferred: 0.477 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000164 ERG
Raw Transaction Data
{
"id": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"inclusionHeight": 1006918,
"timestamp": 1684482026054,
"index": 4,
"globalIndex": 5228531,
"numConfirmations": 751935,
"inputs": [
{
"boxId": "ff48e91053ef08768b2b7dd48631ae67faeb7128b9d7a74a5ef49c9a4843f5ef",
"value": 2500000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d94e433c67d5b5b84ef45f91720d3458346f76d651abe58f992e721887f13ef8",
"outputTransactionId": "b9f92d7f853d859d172ad8cd9df1784fbef8abdbd5efdbcd03d1372586c09795",
"outputIndex": 0,
"outputGlobalIndex": 29246942,
"outputCreatedAt": 1006915,
"outputSettledAt": 1006917,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "MUeEFF9n6rMZGwhMHSCUToqgZV77SPd7enUFfdMSt9BwbM2eVwCQ44yZjJRqxpgU8bJijkTjNhB7AH2wUM9UkZjHnyPDKFRDMozra8a3ptKsKvQXN3wBzXAwBaTFpdS2WuYqQTP4VzokiUjFsoesobW74Nh51uAqDTXKK4SZ4QnphLpCAVPBu9rEca48RLrMViEzYQKchqzyX2oA7cSzY8do7poc4Y6jPiNYuRbLyjifcNBqBVjRruuZr9N2KzVJWC8eNphZVuYkBay9tHp6qC6BMyN5Pr1YGnWDNMX8ivyrogza6wiJga8rvBSN2brt6tU5pWHpkBRRZYySTP69G5utxvkLKuk26xvvMuXJbW5TuTttKEDCLewsejh5yyijfiEkkB38HGcht57fr8V1AtTrAzMek1Rj1RvwvpXWA5gZSq7yACAxNVefkTYZgPKY3kuJEE6XTk4iaZWwJdDF5tnsqTbPknGxsoXe3BRk2aWBiwQLYdzwc8L1EgyaSGxR3PPC5GRx7Teqqqb7VfXAimmwt1DmcCMSpxfjRzWamRG3GkUdsdQ8MgBRkWBvN3wV54gfNoPMjaibJDgKonAo4VwLFGNPFVMCaKPXyEbrQdADa21UCM5VswaF3uwR8K6QepUQXVvRLizqCYoMoQ1Hvo1HoLaF5ckvwEChoiBtWktPexNSWv7W52Rpn3Gzo7jtBpTEAB1vzxLfRT9x8GN9JipwXZVAeFsdS5BjUce14scEtiBTDydmdMV3bfxvFca18dWfNgkZWfMqd14fnmdycrHUEtnzcunJbSNbTq7Y7p3HLpni1zkJJ2yCFX1MhknUzzzwm58oiWCd9DitpHNiqoU8zx3a1a8uwsXcLScFwqk94eH7yffZn8xGPexJNiyizPqK4a7ixmZkXaMf8nMEVYGnb5wAE2vEZQPVRmmbJGXhjWd5UskmB1vAhjNXjapwKS9EqRg2nifJkn5XsyHqi4XUzrLg7cbo",
"assets": [
{
"tokenId": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 1,
"amount": 1001400000303,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0acc8ad8662dcf1a0cc120200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684480265000,2495880302,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d050480a8d6b907cef7f9be09eec49dc40b8e92c1c90d0400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1000000000,1273970151,1547940151,1821910151],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402cecfa38502a0c21e02a0cda385020002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970151,250000],[273970000,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402c89625416192a404ad9ecf211f83462c101f23d79a0c36b185f149ba8bf55b2b010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "3293460e5147a330b41385fb131226e7f3bd8f6f390b34cd91c1774fcc7cf085",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "39568310725053a7cd0eb7bbb2cf9ea178440d812169774ca16cf86f533b54a0",
"outputTransactionId": "7445a2cb8f5c682f696b131f90d4c4e1c80a5682390337fac6a5b7a3b5d3c6d0",
"outputIndex": 1,
"outputGlobalIndex": 29244274,
"outputCreatedAt": 1006856,
"outputSettledAt": 1006858,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n3: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n4: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n5: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n6: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n7: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n8: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n9: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n10: 0\n11: 0\n12: 1\n13: 0\n14: 78\n15: -58\n16: 31\n17: 72\n18: 91\n19: -104\n20: -21\n21: -121\n22: 21\n23: 63\n24: 124\n25: 87\n26: -37\n27: 79\n28: 94\n29: -51\n30: 117\n31: 85\n32: 111\n33: -35\n34: -68\n35: 64\n36: 59\n37: 65\n38: -84\n39: -8\n40: 68\n41: 31\n42: -34\n43: -114\n44: 22\n45: 9\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 3\n52: 6\n53: 0\n54: 100\n55: 1\n56: 0\n57: 4\n58: 7\n59: 1\n60: 5\n61: 0\n62: 6\n63: 37\n64: 3\n65: 1\n66: 9\n67: 1\n68: 0\n69: 1\n70: 1\n71: 33\n72: 0\n73: 0\n74: 6\n75: 38\n76: 1\n77: 2\n78: 2\n79: 3\n80: 0\n81: 4\n82: 0\n83: 0\n84: 1\n85: 3\n86: 4\n87: 1\n88: 0\n89: 100\n90: 1\n91: 0\n92: 1\n93: 1\n94: 0\n95: 2\n96: 1\n97: 9\n98: 1\n99: 4\n100: 6\n101: 37\n102: 5\n103: 6\n104: 37\n105: 1\n106: 3\n107: 0\n108: 0\n109: 1\n110: 0\n111: 0\n112: 1\n113: 0\n114: 1\n115: 1\n116: 0\n117: 2\n118: 1\n119: 0\n120: 3\n121: 1\n122: 0\n123: 4\n124: 1\n125: 0\n126: 0\n127: 1\n128: 4\n129: 0\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = INPUTS(placeholder[Int](10))\n val coll5 = box4.tokens\n val box6 = OUTPUTS(placeholder[Int](11))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = box4.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](12))\n val coll10 = box6.R4[Coll[AvlTree]].get\n val coll11 = box4.R4[Coll[AvlTree]].get\n val coll12 = coll11(placeholder[Int](13)).digest\n val coll13 = Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](\n 34\n ), placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[Int](\n 41\n ), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](46)\n ).map({(i13: Int) => i13.toByte })\n val coll14 = box6.R6[Coll[Coll[Long]]].get\n val coll15 = coll14(placeholder[Int](47))\n val i16 = coll15.size\n val i17 = i16 - placeholder[Int](48)\n val coll18 = coll14(placeholder[Int](49))\n val coll19 = coll14(placeholder[Int](50))\n val coll20 = coll14(placeholder[Int](51))\n val opt21 = coll3(placeholder[Int](52))\n val b22 = max(placeholder[Byte](53), min(placeholder[Byte](54), if (opt21.isDefined) { opt21.get(placeholder[Int](55)) } else { placeholder[Byte](56) }))\n val coll23 = coll14(placeholder[Int](57))\n val i24 = coll23.size\n val opt25 = coll3(placeholder[Int](58))\n val coll26 = box6.R7[Coll[(AvlTree, AvlTree)]].get\n val i27 = coll26.size\n val tuple28 = coll26(i27 - placeholder[Int](59))\n val coll29 = box6.R8[Coll[Coll[Long]]].get\n val i30 = coll29.size\n val i31 = coll8.size\n val coll32 = coll3(placeholder[Int](60)).get\n val coll33 = coll32.slice(placeholder[Int](61), coll32.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll34 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i35 = byteArrayToLong(coll3(placeholder[Int](64)).get.slice(placeholder[Int](65), placeholder[Int](66))).toInt\n val i36 = i35 - placeholder[Int](67)\n val coll37 = box4.R6[Coll[Coll[Long]]].get\n val l38 = coll8(placeholder[Int](68))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](69)).get.slice(placeholder[Int](70), placeholder[Int](71)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](72))._1 == coll3(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), box6.tokens == coll5, coll7(\n placeholder[Int](76)\n ) == l9, coll7(placeholder[Int](77)) == coll8(placeholder[Int](78)), coll7(placeholder[Int](79)) == placeholder[Long](80), coll7(\n placeholder[Int](81)\n ) == placeholder[Long](82), coll10(placeholder[Int](83)).digest == coll12, coll10(placeholder[Int](84)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](85)), coll19(i17) == coll8(placeholder[Int](86)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](87)\n ) == max(\n placeholder[Byte](88), min(placeholder[Byte](89) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](90)) } else { placeholder[Byte](91) })\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](92)).digest, coll29(i30 - placeholder[Int](93))(\n placeholder[Int](94)\n ) == min(\n byteArrayToLong(coll3(placeholder[Int](95)).get.slice(placeholder[Int](96), placeholder[Int](97))), coll5(\n placeholder[Int](98)\n )._2 - l9 - coll8.slice(placeholder[Int](99), i31).append(\n coll33.map(\n {(i39: Int) =>\n coll32.slice(\n placeholder[Int](100) + placeholder[Int](101) * i39 + placeholder[Int](102), placeholder[Int](103) + placeholder[Int](\n 104\n ) * i39 + placeholder[Int](105)\n )\n }\n ).slice(i31 - placeholder[Int](106), coll33.size).map({(coll39: Coll[Byte]) => placeholder[Long](107) })\n )(placeholder[Int](108)) - placeholder[Long](109)\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i36) == coll34.slice(\n placeholder[Int](112), i35\n ), coll18.slice(placeholder[Int](113), i36) == coll37(placeholder[Int](114)).slice(placeholder[Int](115), i35), coll19.slice(\n placeholder[Int](116), i36\n ) == coll37(placeholder[Int](117)).slice(placeholder[Int](118), i35), coll20.slice(placeholder[Int](119), i36) == coll37(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i35), coll23.slice(placeholder[Int](122), i36) == coll37(placeholder[Int](123)).slice(\n placeholder[Int](124), i35\n ), coll15.slice(placeholder[Int](125), i36) == coll37(placeholder[Int](126)).slice(placeholder[Int](127), i35)\n )\n ), allOf(Coll[Boolean](i27 == i35, i16 == i35, i30 == i35, coll20.size == i35, i24 == i35, coll18.size == i35, coll19.size == i35)), coll7.slice(\n placeholder[Int](128), coll7.size\n ).forall({(l39: Long) => l39 == placeholder[Long](129) }), coll7(placeholder[Int](130)) == l38 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l38 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "2224c776a317dbb81cef0ab61084d839b378c54c758fc7f78fb9ed0ac73a86c9",
"value": 473500000,
"index": 2,
"spendingProof": null,
"outputBlockId": "39568310725053a7cd0eb7bbb2cf9ea178440d812169774ca16cf86f533b54a0",
"outputTransactionId": "590693c327bca698d3c0272140f74dcb03c9b06e0b2ad058793cd5f1c8419fc8",
"outputIndex": 4,
"outputGlobalIndex": 29244285,
"outputCreatedAt": 1006856,
"outputSettledAt": 1006858,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(48,113,-22,97,57,-57,-89,109,-51,123,-51,-34,7,91,-126,11,-105,-114,54,-75,-61,-57,89,-13,21,-42,68,-44,102,84,67,5)\n3: false\n4: Coll(44,-67,27,10,-103,-1,-93,73,-38,115,91,117,-30,-41,126,-60,31,76,106,-104,25,58,-116,121,-111,-128,54,-66,-97,-126,66,-96)\n5: Coll(91,-49,-15,2,37,67,102,120,12,-43,25,18,87,5,10,110,-45,58,-59,-47,46,-17,14,48,65,57,-19,93,-104,31,75,-6)\n6: 0\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 0\n15: Coll(34,94,63,-59,-47,-119,-11,71,-39,-58,38,-66,-67,-58,113,57,-117,108,0,124,120,61,-60,127,-112,63,36,-65,127,52,-124,121)\n16: Coll(-68,74,90,-71,-28,90,-73,75,121,-6,-20,-65,103,73,108,-62,-65,-116,43,14,85,-37,-24,-84,-49,-61,-99,20,-119,17,116,-112)\n17: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n18: 0\n19: 1\n20: 9\n21: 2\n22: 1\n23: 2\n24: 1\n25: 33\n26: 0\n27: 0\n28: 3\n29: 1\n30: 9\n31: 0\n32: 0\n33: 1\n34: 1\n35: 9\n36: Coll(-20,-14,-48,75,-82,72,-96,10,-118,110,73,-64,86,114,99,-55,-11,-46,63,38,-56,35,88,-95,118,-85,-47,-16,33,-40,-79,48)\n37: 1\n38: 1\n39: 9\n40: 0\n41: 0\n42: 0\n43: 1\n44: 9\n45: 1\n46: 1\n47: 1\n48: 1\n49: false",
"ergoTreeScript": "{\n val bool1 = INPUTS.exists({(box1: Box) =>\n val coll3 = box1.tokens\n if (coll3.size > placeholder[Int](0)) { coll3(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2) } else { placeholder[Boolean](3) }\n })\n val coll2 = placeholder[Coll[Byte]](4)\n val coll3 = placeholder[Coll[Byte]](5)\n sigmaProp(anyOf(Coll[Boolean](bool1, if (!bool1) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n val coll5 = box4.R5[Coll[Long]].get\n val box6 = INPUTS(placeholder[Int](7))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = SELF.propositionBytes\n val box9 = OUTPUTS.filter({(box9: Box) => box9.propositionBytes == coll8 })(placeholder[Int](8))\n val avlTree10 = CONTEXT.dataInputs(placeholder[Int](9)).R4[AvlTree].get\n val coll11 = getVar[Coll[Byte]](0.toByte).get\n val coll12 = INPUTS.filter({(box12: Box) => box12.propositionBytes == coll8 })\n val l13 = coll12.fold(placeholder[Long](10), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value })\n val coll14 = box9.tokens\n val func15 = {(coll15: Coll[Byte]) => coll12.flatMap({(box17: Box) => box17.tokens }).fold(placeholder[Long](11), {(tuple17: (Long, (Coll[Byte], Long))) =>\n val tuple19 = tuple17._2\n tuple17._1 + if (tuple19._1 == coll15) { tuple19._2 } else { placeholder[Long](12) }\n }) }\n val l16 = func15(coll2)\n val bool17 = coll14.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 != coll2 }).forall({(tuple17: (Coll[Byte], Long)) => tuple17._2 == func15(tuple17._1) })\n val bool18 = coll12.flatMap({(box18: Box) => box18.tokens }).forall({(tuple18: (Coll[Byte], Long)) =>\n val coll20 = tuple18._1\n (coll20 == coll2) || box9.tokens.exists({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 })\n })\n if (coll5(placeholder[Int](13)) > coll7(placeholder[Int](14))) {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](15), placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17), coll3), coll11)\n val l20 = byteArrayToLong(coll19(placeholder[Int](18)).get.slice(placeholder[Int](19), placeholder[Int](20))) * coll5(placeholder[Int](21)) + placeholder[Long](22)\n val tuple21 = OUTPUTS.filter({(box21: Box) => blake2b256(box21.propositionBytes) == coll19(placeholder[Int](23)).get.slice(placeholder[Int](24), placeholder[Int](25)) })(placeholder[Int](26)).tokens(placeholder[Int](27))\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))), coll14.fold(placeholder[Long](31), {(tuple22: (Long, (Coll[Byte], Long))) =>\n val tuple24 = tuple22._2\n tuple22._1 + if (tuple24._1 == coll2) { tuple24._2 } else { placeholder[Long](32) }\n }) >= l16 - l20 - byteArrayToLong(coll19(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))), bool17, bool18, tuple21._1 == coll2, tuple21._2 >= l20))\n )} else {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](36), coll3), coll11)\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))), coll14.fold(placeholder[Long](40), {(tuple20: (Long, (Coll[Byte], Long))) =>\n val tuple22 = tuple20._2\n tuple20._1 + if (tuple22._1 == coll2) { tuple22._2 } else { placeholder[Long](41) }\n }) >= l16 - byteArrayToLong(coll19(placeholder[Int](42)).get.slice(placeholder[Int](43), placeholder[Int](44))), bool17, bool18, coll5(placeholder[Int](45)) > coll7(placeholder[Int](46)), box4.tokens(placeholder[Int](47))._2 == box6.tokens(placeholder[Int](48))._2))\n )}\n )} else { placeholder[Boolean](49) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 999998497,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "44230de89d5b333d36b2ed960fcbfbd4d5b8b47b0a0f7c529b2270235f0ee4e1",
"value": 1000000,
"index": 0,
"outputBlockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"outputTransactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e203071ea6139c7a76dcd7bcdde075b820b978e36b5c3c759f315d644d4665443050100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfUtEnzZVfYMoFo8REtotZo5A93TgULLHjkvSC7oEAELzqkU61A5HrFVhvT96bTET9cNcZ925f4ewrLdEycp1SULEpRDKdEFZcTsTuUHhvHYggg2R2GWNZE2wTb7FG7Gp6jzNrNrhAZKhEHqr42WN5Aw6Xq9JtvigcVAgJKZ5E2d5FuYLfzKdK5cUzn2p",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "642e25ffa44ec9e804fb6b78ca6530dd504939f4c8e6b794c85c3935f164fd598407072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "c64fdc6965ec21549ebf5acfca999351ec8467e5d3278db572bb4203be1a1f94",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 2500000,
"index": 0,
"globalIndex": 29246979,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 1,
"amount": 1001400000303,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d084e7b58662dcf1a0cc120200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684488905000,2495880302,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0504cef7f9be09eec49dc40b8e92c1c90ddcf1a0cc120400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1273970151,1547940151,1821910151,2495880302],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402a0cda385020002a0cda385020002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0],[273970000,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402c89625416192a404ad9ecf211f83462c101f23d79a0c36b185f149ba8bf55b2b010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "80ddda00d9c489abede4fc0dccf5bdcd77a1063cbe8c25187d384b1abce4c541",
"mainChain": true
},
{
"boxId": "3c6be54133020c9063fbf229b175966f1177fbdb399a5ec80a9dba7abeedbfdc",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 1000000,
"index": 1,
"globalIndex": 29246980,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n3: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n4: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n5: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n6: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n7: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n8: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n9: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n10: 0\n11: 0\n12: 1\n13: 0\n14: 78\n15: -58\n16: 31\n17: 72\n18: 91\n19: -104\n20: -21\n21: -121\n22: 21\n23: 63\n24: 124\n25: 87\n26: -37\n27: 79\n28: 94\n29: -51\n30: 117\n31: 85\n32: 111\n33: -35\n34: -68\n35: 64\n36: 59\n37: 65\n38: -84\n39: -8\n40: 68\n41: 31\n42: -34\n43: -114\n44: 22\n45: 9\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 3\n52: 6\n53: 0\n54: 100\n55: 1\n56: 0\n57: 4\n58: 7\n59: 1\n60: 5\n61: 0\n62: 6\n63: 37\n64: 3\n65: 1\n66: 9\n67: 1\n68: 0\n69: 1\n70: 1\n71: 33\n72: 0\n73: 0\n74: 6\n75: 38\n76: 1\n77: 2\n78: 2\n79: 3\n80: 0\n81: 4\n82: 0\n83: 0\n84: 1\n85: 3\n86: 4\n87: 1\n88: 0\n89: 100\n90: 1\n91: 0\n92: 1\n93: 1\n94: 0\n95: 2\n96: 1\n97: 9\n98: 1\n99: 4\n100: 6\n101: 37\n102: 5\n103: 6\n104: 37\n105: 1\n106: 3\n107: 0\n108: 0\n109: 1\n110: 0\n111: 0\n112: 1\n113: 0\n114: 1\n115: 1\n116: 0\n117: 2\n118: 1\n119: 0\n120: 3\n121: 1\n122: 0\n123: 4\n124: 1\n125: 0\n126: 0\n127: 1\n128: 4\n129: 0\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = INPUTS(placeholder[Int](10))\n val coll5 = box4.tokens\n val box6 = OUTPUTS(placeholder[Int](11))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = box4.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](12))\n val coll10 = box6.R4[Coll[AvlTree]].get\n val coll11 = box4.R4[Coll[AvlTree]].get\n val coll12 = coll11(placeholder[Int](13)).digest\n val coll13 = Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](\n 34\n ), placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[Int](\n 41\n ), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](46)\n ).map({(i13: Int) => i13.toByte })\n val coll14 = box6.R6[Coll[Coll[Long]]].get\n val coll15 = coll14(placeholder[Int](47))\n val i16 = coll15.size\n val i17 = i16 - placeholder[Int](48)\n val coll18 = coll14(placeholder[Int](49))\n val coll19 = coll14(placeholder[Int](50))\n val coll20 = coll14(placeholder[Int](51))\n val opt21 = coll3(placeholder[Int](52))\n val b22 = max(placeholder[Byte](53), min(placeholder[Byte](54), if (opt21.isDefined) { opt21.get(placeholder[Int](55)) } else { placeholder[Byte](56) }))\n val coll23 = coll14(placeholder[Int](57))\n val i24 = coll23.size\n val opt25 = coll3(placeholder[Int](58))\n val coll26 = box6.R7[Coll[(AvlTree, AvlTree)]].get\n val i27 = coll26.size\n val tuple28 = coll26(i27 - placeholder[Int](59))\n val coll29 = box6.R8[Coll[Coll[Long]]].get\n val i30 = coll29.size\n val i31 = coll8.size\n val coll32 = coll3(placeholder[Int](60)).get\n val coll33 = coll32.slice(placeholder[Int](61), coll32.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll34 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i35 = byteArrayToLong(coll3(placeholder[Int](64)).get.slice(placeholder[Int](65), placeholder[Int](66))).toInt\n val i36 = i35 - placeholder[Int](67)\n val coll37 = box4.R6[Coll[Coll[Long]]].get\n val l38 = coll8(placeholder[Int](68))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](69)).get.slice(placeholder[Int](70), placeholder[Int](71)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](72))._1 == coll3(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), box6.tokens == coll5, coll7(\n placeholder[Int](76)\n ) == l9, coll7(placeholder[Int](77)) == coll8(placeholder[Int](78)), coll7(placeholder[Int](79)) == placeholder[Long](80), coll7(\n placeholder[Int](81)\n ) == placeholder[Long](82), coll10(placeholder[Int](83)).digest == coll12, coll10(placeholder[Int](84)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](85)), coll19(i17) == coll8(placeholder[Int](86)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](87)\n ) == max(\n placeholder[Byte](88), min(placeholder[Byte](89) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](90)) } else { placeholder[Byte](91) })\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](92)).digest, coll29(i30 - placeholder[Int](93))(\n placeholder[Int](94)\n ) == min(\n byteArrayToLong(coll3(placeholder[Int](95)).get.slice(placeholder[Int](96), placeholder[Int](97))), coll5(\n placeholder[Int](98)\n )._2 - l9 - coll8.slice(placeholder[Int](99), i31).append(\n coll33.map(\n {(i39: Int) =>\n coll32.slice(\n placeholder[Int](100) + placeholder[Int](101) * i39 + placeholder[Int](102), placeholder[Int](103) + placeholder[Int](\n 104\n ) * i39 + placeholder[Int](105)\n )\n }\n ).slice(i31 - placeholder[Int](106), coll33.size).map({(coll39: Coll[Byte]) => placeholder[Long](107) })\n )(placeholder[Int](108)) - placeholder[Long](109)\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i36) == coll34.slice(\n placeholder[Int](112), i35\n ), coll18.slice(placeholder[Int](113), i36) == coll37(placeholder[Int](114)).slice(placeholder[Int](115), i35), coll19.slice(\n placeholder[Int](116), i36\n ) == coll37(placeholder[Int](117)).slice(placeholder[Int](118), i35), coll20.slice(placeholder[Int](119), i36) == coll37(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i35), coll23.slice(placeholder[Int](122), i36) == coll37(placeholder[Int](123)).slice(\n placeholder[Int](124), i35\n ), coll15.slice(placeholder[Int](125), i36) == coll37(placeholder[Int](126)).slice(placeholder[Int](127), i35)\n )\n ), allOf(Coll[Boolean](i27 == i35, i16 == i35, i30 == i35, coll20.size == i35, i24 == i35, coll18.size == i35, coll19.size == i35)), coll7.slice(\n placeholder[Int](128), coll7.size\n ).forall({(l39: Long) => l39 == placeholder[Long](129) }), coll7(placeholder[Int](130)) == l38 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l38 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "070779a9ce21970a2f01b925347011115f8c3b53cda2e71a3ea9bb1776ea6a41",
"mainChain": true
},
{
"boxId": "340f995ee07378356a40f50f4088c4761296e479d6fba06fc62719921e0a7896",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 500000,
"index": 2,
"globalIndex": 29246981,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 100,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e3cb89011738127f98fbe72ce0751d2dcd35f039b4a8a35c4952a6cfbe70067f",
"mainChain": true
},
{
"boxId": "47a2855a84f498a712372fe71c0f077c0b0394c9f15bbe625b0239b75672fae8",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 1000000,
"index": 3,
"globalIndex": 29246982,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"ergoTree": "102c04000e20c7c537e6c635930ecb4ace95a54926b3ab77698d9f4922f0b1c58ea87156483b0e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20fe21b973ccb4d91f288b1c5b3a4f6d9e0c52f6b163c387a2370eb4f9b4001a3e0e20b8c32c0b9e42cc86d030b2618e5a06c0d2eb2ba0641f090685b985edab10956f0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a204040402040004000400040204420400040804000e203150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e0400040404080402040204420580897a05c8010406040c044c0400040c044a040c044a040a040c044a040205000500050005000500050005c801d807d601b2db6501fe730000d602dc640be4c6720104640283050e73017302730373047305e4e3000ed603b2e4b27202730600730700d604b2a5730800d605b2a4730900d606b2b5a5d901066393cbc27206b4e4b27202730a00730b730c730d00d607e4b27202730e00d1ed938cb2db63087201730f0001731095907e720304731193b1a57312d802d60899c17204c17205d6097e7203059683040193b1a5731393cbc27204b4e4b2720273140073157316939d9c9a720899c172067317720973187208afb383010eb4e4b27202731900731a731baddb0c0eb47207731c9d99b17207731d731ed9010a04b472079a9a731f9c7320720a73219a73229c73239a720a7324d9010a0ed801d60c99b0db630872047325d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027326b0db630872057327d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027328939d9c9a720cb0db630872067329d9010d414d0ed801d60f8c720d029a8c720d0195938c720f01720a8c720f02732a7209732b720c",
"ergoTreeConstants": "0: 0\n1: Coll(-57,-59,55,-26,-58,53,-109,14,-53,74,-50,-107,-91,73,38,-77,-85,119,105,-115,-97,73,34,-16,-79,-59,-114,-88,113,86,72,59)\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n4: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n5: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n6: 2\n7: 1\n8: 0\n9: 0\n10: 0\n11: 1\n12: 33\n13: 0\n14: 4\n15: 0\n16: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n17: 0\n18: 2\n19: 4\n20: 1\n21: 1\n22: 33\n23: 1000000\n24: 100\n25: 3\n26: 6\n27: 38\n28: 0\n29: 6\n30: 37\n31: 6\n32: 37\n33: 5\n34: 6\n35: 37\n36: 1\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 100",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll2 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val b3 = coll2(placeholder[Int](6)).get(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val box5 = INPUTS(placeholder[Int](9))\n val box6 = OUTPUTS.filter(\n {(box6: Box) => blake2b256(box6.propositionBytes) == coll2(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)) }\n )(placeholder[Int](13))\n val coll7 = coll2(placeholder[Int](14)).get\n sigmaProp(\n (box1.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)) && if (b3.toInt <= placeholder[Int](17)) {\n OUTPUTS.size == placeholder[Int](18)\n } else {(\n val l8 = box4.value - box5.value\n val l9 = b3.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == placeholder[Int](19), blake2b256(box4.propositionBytes) == coll2(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), l8 + box6.value - placeholder[Long](23) * l9 / placeholder[Long](24) == l8, Coll[Coll[Byte]](\n coll2(placeholder[Int](25)).get.slice(placeholder[Int](26), placeholder[Int](27))\n ).append(\n coll7.slice(placeholder[Int](28), coll7.size - placeholder[Int](29) / placeholder[Int](30)).indices.map(\n {(i10: Int) =>\n coll7.slice(\n placeholder[Int](31) + placeholder[Int](32) * i10 + placeholder[Int](33), placeholder[Int](34) + placeholder[Int](35) * i10 + placeholder[\n Int\n ](36)\n )\n }\n )\n ).forall({(coll10: Coll[Byte]) =>\n val l12 = box4.tokens.fold(placeholder[Long](37), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](38) }\n }) - box5.tokens.fold(placeholder[Long](39), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](40) }\n })\n l12 + box6.tokens.fold(placeholder[Long](41), {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == coll10) { tuple15._2 } else { placeholder[Long](42) }\n }) * l9 / placeholder[Long](43) == l12\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "001dba4751762f4cba8309292e5473301f08d69be5c901115c9b80525e4404f5",
"mainChain": true
},
{
"boxId": "da182cf58c3206993fa1de1e7676bcd899bffe7ec98fa6b5f8a651b2bbb8bdab",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 1500000,
"index": 4,
"globalIndex": 29246983,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"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": "af87f0da4884d5e86a5d5288a7e2761868f9c829903d43685c9ee59d8613461d",
"mainChain": true
},
{
"boxId": "8fdb503a1ab0149ae2f2a57f5f936f61a413b599c47b085bb6eaca1cb3d82b69",
"transactionId": "78ffb7bfd2f3dc978281974728044d508e2efe27ad480a193af7b61be040b3df",
"blockId": "4164c4cd1e0e53d342e5c0df4fc7e9903143ac2d90ae7352e4dbaef4effba6e8",
"value": 470500000,
"index": 5,
"globalIndex": 29246984,
"creationHeight": 1006916,
"settlementHeight": 1006918,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(48,113,-22,97,57,-57,-89,109,-51,123,-51,-34,7,91,-126,11,-105,-114,54,-75,-61,-57,89,-13,21,-42,68,-44,102,84,67,5)\n3: false\n4: Coll(44,-67,27,10,-103,-1,-93,73,-38,115,91,117,-30,-41,126,-60,31,76,106,-104,25,58,-116,121,-111,-128,54,-66,-97,-126,66,-96)\n5: Coll(91,-49,-15,2,37,67,102,120,12,-43,25,18,87,5,10,110,-45,58,-59,-47,46,-17,14,48,65,57,-19,93,-104,31,75,-6)\n6: 0\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 0\n15: Coll(34,94,63,-59,-47,-119,-11,71,-39,-58,38,-66,-67,-58,113,57,-117,108,0,124,120,61,-60,127,-112,63,36,-65,127,52,-124,121)\n16: Coll(-68,74,90,-71,-28,90,-73,75,121,-6,-20,-65,103,73,108,-62,-65,-116,43,14,85,-37,-24,-84,-49,-61,-99,20,-119,17,116,-112)\n17: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n18: 0\n19: 1\n20: 9\n21: 2\n22: 1\n23: 2\n24: 1\n25: 33\n26: 0\n27: 0\n28: 3\n29: 1\n30: 9\n31: 0\n32: 0\n33: 1\n34: 1\n35: 9\n36: Coll(-20,-14,-48,75,-82,72,-96,10,-118,110,73,-64,86,114,99,-55,-11,-46,63,38,-56,35,88,-95,118,-85,-47,-16,33,-40,-79,48)\n37: 1\n38: 1\n39: 9\n40: 0\n41: 0\n42: 0\n43: 1\n44: 9\n45: 1\n46: 1\n47: 1\n48: 1\n49: false",
"ergoTreeScript": "{\n val bool1 = INPUTS.exists({(box1: Box) =>\n val coll3 = box1.tokens\n if (coll3.size > placeholder[Int](0)) { coll3(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2) } else { placeholder[Boolean](3) }\n })\n val coll2 = placeholder[Coll[Byte]](4)\n val coll3 = placeholder[Coll[Byte]](5)\n sigmaProp(anyOf(Coll[Boolean](bool1, if (!bool1) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n val coll5 = box4.R5[Coll[Long]].get\n val box6 = INPUTS(placeholder[Int](7))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = SELF.propositionBytes\n val box9 = OUTPUTS.filter({(box9: Box) => box9.propositionBytes == coll8 })(placeholder[Int](8))\n val avlTree10 = CONTEXT.dataInputs(placeholder[Int](9)).R4[AvlTree].get\n val coll11 = getVar[Coll[Byte]](0.toByte).get\n val coll12 = INPUTS.filter({(box12: Box) => box12.propositionBytes == coll8 })\n val l13 = coll12.fold(placeholder[Long](10), {(tuple13: (Long, Box)) => tuple13._1 + tuple13._2.value })\n val coll14 = box9.tokens\n val func15 = {(coll15: Coll[Byte]) => coll12.flatMap({(box17: Box) => box17.tokens }).fold(placeholder[Long](11), {(tuple17: (Long, (Coll[Byte], Long))) =>\n val tuple19 = tuple17._2\n tuple17._1 + if (tuple19._1 == coll15) { tuple19._2 } else { placeholder[Long](12) }\n }) }\n val l16 = func15(coll2)\n val bool17 = coll14.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 != coll2 }).forall({(tuple17: (Coll[Byte], Long)) => tuple17._2 == func15(tuple17._1) })\n val bool18 = coll12.flatMap({(box18: Box) => box18.tokens }).forall({(tuple18: (Coll[Byte], Long)) =>\n val coll20 = tuple18._1\n (coll20 == coll2) || box9.tokens.exists({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 })\n })\n if (coll5(placeholder[Int](13)) > coll7(placeholder[Int](14))) {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](15), placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17), coll3), coll11)\n val l20 = byteArrayToLong(coll19(placeholder[Int](18)).get.slice(placeholder[Int](19), placeholder[Int](20))) * coll5(placeholder[Int](21)) + placeholder[Long](22)\n val tuple21 = OUTPUTS.filter({(box21: Box) => blake2b256(box21.propositionBytes) == coll19(placeholder[Int](23)).get.slice(placeholder[Int](24), placeholder[Int](25)) })(placeholder[Int](26)).tokens(placeholder[Int](27))\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))), coll14.fold(placeholder[Long](31), {(tuple22: (Long, (Coll[Byte], Long))) =>\n val tuple24 = tuple22._2\n tuple22._1 + if (tuple24._1 == coll2) { tuple24._2 } else { placeholder[Long](32) }\n }) >= l16 - l20 - byteArrayToLong(coll19(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))), bool17, bool18, tuple21._1 == coll2, tuple21._2 >= l20))\n )} else {(\n val coll19 = avlTree10.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](36), coll3), coll11)\n allOf(Coll[Boolean](box9.value >= l13 - byteArrayToLong(coll19(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))), coll14.fold(placeholder[Long](40), {(tuple20: (Long, (Coll[Byte], Long))) =>\n val tuple22 = tuple20._2\n tuple20._1 + if (tuple22._1 == coll2) { tuple22._2 } else { placeholder[Long](41) }\n }) >= l16 - byteArrayToLong(coll19(placeholder[Int](42)).get.slice(placeholder[Int](43), placeholder[Int](44))), bool17, bool18, coll5(placeholder[Int](45)) > coll7(placeholder[Int](46)), box4.tokens(placeholder[Int](47))._2 == box6.tokens(placeholder[Int](48))._2))\n )}\n )} else { placeholder[Boolean](49) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 999998296,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "80ddda00d9c489abede4fc0dccf5bdcd77a1063cbe8c25187d384b1abce4c541",
"mainChain": true
}
],
"size": 9163,
"isUnconfirmed": false
}