Transaction
ID: 797a1a2cc6...d7f5
Inputs (4)
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:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
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:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00196004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
0
Transaction Details
Confirmations: 510,100
Total coins transferred: 0.009 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.000000224 ERG
Raw Transaction Data
{
"id": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"inclusionHeight": 1247887,
"timestamp": 1713712696319,
"index": 8,
"globalIndex": 7059510,
"numConfirmations": 510100,
"inputs": [
{
"boxId": "6fb7c93a1a80cafe86e02baf42527617d3a1167ce0c0c3dab6aa08159e3299c3",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"outputTransactionId": "b2bb114750751ae2d3b4a98277a5c45a066dd55678dee5640947ae637e751646",
"outputIndex": 0,
"outputGlobalIndex": 39420033,
"outputCreatedAt": 1247884,
"outputSettledAt": 1247887,
"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(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)\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": "6f1a7c49a4e8cab3e877a46bf4ef7beb5ba1df4ece92c40cd0770b07ccb369ae",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 27,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107bc99bfffe363343222260000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1714228291166,26,25,17,19,0,0]"
},
"R6": {
"serializedValue": "1d05022e2e02322c02322c023232023232",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[23,23],[25,22],[25,22],[25,25],[25,25]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e16090007200062babd3c8635ee7e20e4a8b81a82e5c4bda540845b52b0c3b8fd3fc16ce9ea0f05072000e3ba6d29caa3086238015e9816baf7c0f02b317a41ccff8fe4dee47147c163730507200080bc9ee657bb75c6ebff8a22bbd3a4eaa78a6b765dd6fdec36d324b74b88925f04072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64028641f12f662c1bc3c0e3b67e9bb9f1305df0a240733e4b63f58e3dc065c6412e05072000b8411b09381df73a0926c399957bd96666ce3638b5adf9920bd43a51dbf6610e04072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "ce4534ac635ee78d329a395700c782f62cff192d000da14996aa282de643b535",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"outputTransactionId": "b2bb114750751ae2d3b4a98277a5c45a066dd55678dee5640947ae637e751646",
"outputIndex": 1,
"outputGlobalIndex": 39420034,
"outputCreatedAt": 1247884,
"outputSettledAt": 1247887,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: 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)\n3: 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)\n4: Coll(61,-86,102,-128,-114,105,-62,90,-23,50,-35,102,97,28,95,11,60,-70,-54,-47,18,82,3,-24,125,-115,-60,-111,-122,28,113,-26)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Long]].get == box8.R8[Coll[Long]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "7079e2cc5d03b6aa82f442c9e80467ee160803d073db2021bc3415b1d0e9b0af",
"value": 4000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"outputTransactionId": "b2bb114750751ae2d3b4a98277a5c45a066dd55678dee5640947ae637e751646",
"outputIndex": 2,
"outputGlobalIndex": 39420035,
"outputCreatedAt": 1247884,
"outputSettledAt": 1247887,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: 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)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: 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)\n22: 0\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: 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)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "tzVGDo5ekSiA2Sm4oHuhVrcz5CuUYBgFnhNxSbvvU679LVSrwykpopjCVEXMMWGFYgBGcBXF6VCbA9EuMch7arv4u9A8GejNfkyzijVHvo16qPyx8sNLZXtWV815BqSrzbqmvBm4th2aBWE5Dy3s5Y4t9cXiqXDNtXw1qjAcuU1DfpUAR435Dip7r7MJ1GDmiEq52qUBFhQwP9Chn9gPnqVQno2tDkeD5X6G5Buya9fRA4mHLPnSfQk8FrzWeqnMgxV8e3dd1NLQXNBjtPsvsu6cDG4uQAVxruDYc7c1zj1kM1jM4MtFHeGF1enQ1rxgHjC9Qsrer9F1B4kQXQhMbZccqMKhvNH1TYQfJK9o2m3DvjgEs55EAGPSnjPzqpwvf7QouLqD2LwYdyY6sqCVGvoHJqdBxfVn6QCGqoTWgCr77waDB2qohrQj5zuoKXqJZBbhdPnPYHXihQUEbNfyojYN5eadc3Qh2uWHbMY3p6pGCCeZjw5aduAzx33fWqnUjVPudJgh1YFJ7Gp753apuEzcE8dpRg9LctRzHBooSyUHKXKW5fg9yGmzHB2Apfmdmt4T9mQkJf2A18UFdLNWPW1z7dXimibyjtDvgoqiPpaTxzhqykSSsuVqynBqceFJWgjnUD4rhonZgB1nSKcoBcrv5Cd2V4Z9iQH59DqLNzAZPPH5HJvhkq5nvV2MoxviDNE3Syw1MUGtCbFjQfXYRiJfCSVBqZF5dLa4gni3RaCGzf9Z8Y7xx9t2rPK8gxJxK2nNRuf4oK2gbRKhATTLr4h85yZEDjdcdvdmqjw5ChmbgWBWeVDPsBv9ExdKUi1Zn5EA8NqzFMCu1fMJSbzx1v5sCngbnAb7FFWfu3ytzX1ZyDHNi6K2NYCBT69XrMGBQuqUyUr3Skxt5Mh18iJW4cwSQZpd5ywRfyYb4wtEaLGZMi9KX5zMTCaRY12HBqsVqhBm3FNsguAnQLQ8zXw7GqnisW3VD129yhQhoGW34Tug7xuHkNyx84CpXTi6EmuZCmpBpRrZnSgzC4Y8AbBfxESoWo7VQw3XnYRUN6vHCayAzwfk4ci3jfYe3C2VgeDX54T4JgD4qEJDKq5cvqfZoFEskTZYrZqcXqb484mpRwsEHuYys3Naigy8Jwx43MqLgzqeAG9VE2E8FArQrP5ht69nnGMuUcsyg78gjz1q16VD8yUjYqFRtGk1iJMswV4Lg1QqhmsgYxRFq74SmrZ6SZzxP7zJWJhipLuknyxbLykVXPEGwwQ7nZvJQBvPw11FvDT3qc2QyDya6npd8qKnazwx59YNoNjdCQLGQiDaBxifjSBhJW1ASYZBt8eDdZhiCiNzpD9Los4oyyjQxxuHrm9t4e14ipeEQtLpb2TpN2ZWkKg1o1wgdgQHVYd39ErWPAtzfVVBUpTKCPqWcE1QUCa7MVwmWvDu5X8GUWofQv7PS748TVDCVrDkky1sqJTosT3V3CcWhZDWg8oB2pUbB3rqqHNen8tMSrB3C7aEf2ZGCj2PVXQRZmbFzmZgxe2Vh3xpNfW2WdPtBSK3qCzVLRXkK6KQnwG5ADR9VngBdEn2Vooi3rQKgEoTJN9hc1ciH3v6WzfA9mrmdssWpo7DGVJXrcy1hfi6B9mhNpyvrsNEHkbPubzeuRP1rQz7kJmQEXLKcjMhJnUm3eraktDBBTeSdd5EKYxG2PmyP1goGmDfgCgwjNXohvTDQtYvUBGkM7MPPHJ17V8zSjiTE35qjcqVeMAWXXiGyYpyZCNzPSvrBMDCDVFEpR5CgA61gsqUcauqpXyhPgTRrw2tdjbmARRdnpUGsPyPwu5f8wxMoi9s6Qhmc36AqFmsWDrmx2WA4D8yJkkaRxzv24GLmFjWJWYgLMpDtpU5VBmSiJmHFPQk9Af6HqedqMGhFDPuS14wb3DvqbcDWiyMyhHHJ7SuXRRJi",
"assets": [
{
"tokenId": "5bee44a2a857f84c21573aa0100f09c8435e9afc9da0b89f4b4fdabd86def02d",
"index": 0,
"amount": 1,
"name": "Sigmanauts Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10023201",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,-1]"
},
"R5": {
"serializedValue": "11049ea0d4cce463040004",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1714309203983,2,0,2]"
},
"R6": {
"serializedValue": "647eaee9848e83da25c11ebb7d37b243c22e411a26ca943b9437ff05005c4ac62302072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e2050726f6d6f74652041636f20c5a06d726b617320746f205369676d616e617574",
"sigmaType": "Coll[SByte]",
"renderedValue": "50726f6d6f74652041636f20c5a06d726b617320746f205369676d616e617574"
}
}
},
{
"boxId": "0220131b26f7a38cf78b4c86e82dcd1294211bf3c6d9e27f04e2b5ce6fab3152",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"outputTransactionId": "575e06cd23653998036985cc2ff83cc6407264c4535399d68207dd04525b5fd4",
"outputIndex": 0,
"outputGlobalIndex": 39420043,
"outputCreatedAt": 1247884,
"outputSettledAt": 1247887,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e205bee44a2a857f84c21573aa0100f09c8435e9afc9da0b89f4b4fdabd86def02dd19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(91,-18,68,-94,-88,87,-8,76,33,87,58,-96,16,15,9,-56,67,94,-102,-4,-99,-96,-72,-97,75,79,-38,-67,-122,-34,-16,45)",
"ergoTreeScript": "{sigmaProp(if (INPUTS(placeholder[Int](0)).id == SELF.id) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box1.value >= SELF.value - placeholder[Long](2), box1.tokens == SELF.tokens, box1.propositionBytes == SELF.R6[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box1 = OUTPUTS(placeholder[Int](4))\n val box2 = INPUTS(placeholder[Int](5))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box1.tokens(placeholder[Int](6)) == SELF.tokens(placeholder[Int](7)), box1.propositionBytes == SELF.R6[Coll[Byte]].get)), allOf(Coll[Boolean](box2.R4[Coll[Int]].get(placeholder[Int](8)) == SELF.R4[Int].get, box2.tokens(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10)))))\n )})}",
"address": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3eAEXw2ZseYBdwFr17bNDy4WA728qvrmSe8eHnzRK15fGLVXnoAUU2wzwzGS7D1WhvzhLyJb47KVxgrkYjzVjkiXSbwzSZCDQdchqmsukDB2xFcUv8QuJG2pJkbc6mLvAzMddXGRB576MT4kKNTaBXCYhDL1a53dUvAnQvw7Pb9xrrabH12q3kExG48MAjpGKeWXXWwrvqu5yCA1Vs9juVehyyPGfbg8bKdyaCM8LZt2sf3H2iBzL75TJswK15sfUv",
"assets": [
{
"tokenId": "af695cdc5d49586756f9fd8bcd4b29438074ded19ac853357fe495bf48e90406",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0432",
"sigmaType": "SInt",
"renderedValue": "25"
},
"R5": {
"serializedValue": "0e1000000000000000000000000000000001",
"sigmaType": "Coll[SByte]",
"renderedValue": "00000000000000000000000000000001"
},
"R6": {
"serializedValue": "0e240008cd0342cc3eae917d6e6eed082d47de583de67fc72d23640e95983e85f0588a71cc1c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0342cc3eae917d6e6eed082d47de583de67fc72d23640e95983e85f0588a71cc1c"
}
}
}
],
"dataInputs": [
{
"boxId": "6b0b12bf7250b9665959194961f89327b56dd8fb44436c0a70ca0bf0bae0f50f",
"value": 1000000,
"index": 0,
"outputBlockId": "9175984dfa2ac2b7f35c1d6f8f3b66e6d46a609acd82ca9e9b01d82590e9680c",
"outputTransactionId": "827d951edfdc547162709b7dcdd2f9580a9903df95b59806e081aad2fe369cf0",
"outputIndex": 1,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e205b8b5d70bac147f182950cc352a1aabe79c9c3a66500a9684c1ef182fdb7473f0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfjFnGQtD8YobxJEaqgNzhHkXs7cJLF4fpeG9Rc7e7MhMxf2heSgkXQZo6HXoH9e9V8dPLHnnuBtS4cdn4hm8o6m1ZTJkNea4S7ge2EAn3mVRfGTRehPjp2HWqX613K1LMRmB3k1skpk3X388c6aAcNSxwhtbMbeoCqAA6HP7U2gyANsbdAyp8y56yQqP",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6445d8740d3e0927df4e5d0be8cbf74f01c517dbc91256de18e375c1345f79c81f06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "445a6c8c26311516cba494b541bf1db38d7e295fcac41bcc4a0c05f1f71f2e0a",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 1000000,
"index": 0,
"globalIndex": 39420046,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"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(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)\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": "6f1a7c49a4e8cab3e877a46bf4ef7beb5ba1df4ece92c40cd0770b07ccb369ae",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 27,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107bc99bfffe363343224280000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1714228291166,26,25,18,20,0,0]"
},
"R6": {
"serializedValue": "1d05022e2e02322c02322c023232023232",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[23,23],[25,22],[25,22],[25,25],[25,25]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e16090007200062babd3c8635ee7e20e4a8b81a82e5c4bda540845b52b0c3b8fd3fc16ce9ea0f05072000e3ba6d29caa3086238015e9816baf7c0f02b317a41ccff8fe4dee47147c163730507200080bc9ee657bb75c6ebff8a22bbd3a4eaa78a6b765dd6fdec36d324b74b88925f04072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402f96828c12a7b5bf96b9957d8a29253146e287fb76eddae4bf7d402ae714eb6ab05072000a2594b05c63fcbc16b6f8d3736a998cb84063b12e91c01996283463792ceca2904072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "d6dced5e0f4df96955468d76d47ec70aa0f9b8880d358f401f051096103624c4",
"mainChain": true
},
{
"boxId": "e3322d7759c821be0497220e43fe98fb22aa34c19cdfed6812e375c0107cc2c5",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 1000000,
"index": 1,
"globalIndex": 39420047,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: 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)\n3: 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)\n4: Coll(61,-86,102,-128,-114,105,-62,90,-23,50,-35,102,97,28,95,11,60,-70,-54,-47,18,82,3,-24,125,-115,-60,-111,-122,28,113,-26)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Long]].get == box8.R8[Coll[Long]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "3abf84ddab12a035239456b987cc1e3e69036d24bd8551b8194f2660f4ff2aa0",
"mainChain": true
},
{
"boxId": "fcd20096365f7701ce29299b73a362f1a27cd6a677532368633b089d097b2de2",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 4000000,
"index": 2,
"globalIndex": 39420048,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: 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)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(56,-68,56,81,78,28,46,-125,35,35,15,64,-22,39,-43,43,-118,-49,66,82,8,-17,-118,10,-96,-7,-25,75,-28,27,28,-124)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: 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)\n22: 0\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: 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)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "5bee44a2a857f84c21573aa0100f09c8435e9afc9da0b89f4b4fdabd86def02d",
"index": 0,
"amount": 1,
"name": "Sigmanauts Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10023201",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,-1]"
},
"R5": {
"serializedValue": "11049ea0d4cce463060006",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1714309203983,3,0,3]"
},
"R6": {
"serializedValue": "64d2740b1f0cb1282f8346de8cc4e311e968874b059c1977063c7076cc2e50bf6902072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e2050726f6d6f74652041636f20c5a06d726b617320746f205369676d616e617574",
"sigmaType": "Coll[SByte]",
"renderedValue": "50726f6d6f74652041636f20c5a06d726b617320746f205369676d616e617574"
}
},
"spentTransactionId": "3abf84ddab12a035239456b987cc1e3e69036d24bd8551b8194f2660f4ff2aa0",
"mainChain": true
},
{
"boxId": "22af8565fcb6bae39350df9bbee61f5c9be3d220218a4db6acb0be0c6d0802c4",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 1000000,
"index": 3,
"globalIndex": 39420049,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"ergoTree": "0008cd0342cc3eae917d6e6eed082d47de583de67fc72d23640e95983e85f0588a71cc1c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42cc3e,cc44dc,...)))}",
"address": "9gyDxC6BSye22qHPofuG9bG2DptqQ1F4qnqBJmm4AoYWtH6B5ab",
"assets": [
{
"tokenId": "af695cdc5d49586756f9fd8bcd4b29438074ded19ac853357fe495bf48e90406",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "16b26ae212ef2dd126b4458731ec8003b03066d03aacdfb38c1b6b50e0033d21",
"mainChain": true
},
{
"boxId": "16d3ef5bc7a926891b3f444c036729da223f1926a9e6937bbad23d18bce6ac78",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 1960040,
"index": 4,
"globalIndex": 39420050,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"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": "1a91486192c269fd33652d043bcaca8f9c3f976ecdc250c214eecea3cc71cc5e",
"mainChain": true
},
{
"boxId": "70175701353f57b0933ecdbe25ea2426f3844acf9dd7723859e34609de0e9ea0",
"transactionId": "797a1a2cc67f72af2ffddb1c8e621f5943bbbef82017cf789a0b757a532fd7f5",
"blockId": "2b3d88860ce62a74f0ef5a2f443849482c2c65539a085b7bdfdde0640401b9b7",
"value": 39960,
"index": 5,
"globalIndex": 39420051,
"creationHeight": 1247885,
"settlementHeight": 1247887,
"ergoTree": "0008cd023812ba777e72f8e606cda4d4faa2288d439a16cd7c462dc12d3e10a317b019e7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3812ba,bc1fbe,...)))}",
"address": "9ewkq1bvnTdmEc7zwmVBxN8rKri8cYNQbgJtMLUxLsFu5AcDCWE",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e0bb28c4f4fc0c8a4068edd00eafcb05b2d107225c69e97713b1ccf0fce2df99",
"mainChain": true
}
],
"size": 8753,
"isUnconfirmed": false
}