Transaction
ID: 2ab2ae7bbd...9073
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.9784 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
16.3 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9784 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
16.3 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 803,246
Total coins transferred: 17.28 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000026 ERG
Raw Transaction Data
{
"id": "2ab2ae7bbd03ad0ac6bf117df69bf47e3fd6a4f68f32a20e2d158df730a79073",
"blockId": "3f2052f17761fdb20e5570a14e551d624251c689ec4e0b39731fea5f524fdec9",
"inclusionHeight": 954660,
"timestamp": 1678134771455,
"index": 6,
"globalIndex": 4859957,
"numConfirmations": 803246,
"inputs": [
{
"boxId": "887b523bc85d1d7441f46816164bbd64b2984e8c00f7b3cd85b262312622d1e4",
"value": 978400000,
"index": 0,
"spendingProof": "0c421bd34116a5b31623e1156bd30d30c9334e6bc63a8d890d8e8bf85b92b6218fa6b9ea3181424109e03a6ec16f786bdfb14787fd29f26f",
"outputBlockId": "3f2052f17761fdb20e5570a14e551d624251c689ec4e0b39731fea5f524fdec9",
"outputTransactionId": "5a7d66d015490397ecddb3143a54cc3fb5c2b8b47c128c7284ab3bbcc02f5152",
"outputIndex": 1,
"outputGlobalIndex": 27178644,
"outputCreatedAt": 954658,
"outputSettledAt": 954660,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
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"index": 20,
"amount": 1,
"name": "The Ergo Manifesto",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aeb79fd6d004b6c2a0f7c6219aebe8f943311e716506e14f2c084c8295f98713",
"index": 21,
"amount": 4,
"name": "GNOMECOIN",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "66372b4e66a78306b74b3f37601308b17bea0a56f3770d6209fa490b404e2c5a",
"index": 22,
"amount": 1,
"name": "FruitySaguaro #078",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "84957bd85b04a8f1aed8d83a0ede9b985a67a6557c934ac3a3ce507ee2cb1eb8",
"index": 23,
"amount": 1,
"name": "DUMBeenz #024",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "43522a4b174e3117f133c4065401dffce0565db563ba55f1743f22b164de071b",
"index": 24,
"amount": 1,
"name": "DUMBeenz #111",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9875cb42b26e91a2ae099b5f77f996e55b41a1a9adda03aa064d9cda4aedc9a2",
"index": 25,
"amount": 1,
"name": "DUMBeenz #114",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "819ce7d681ff29a435eafa0b405eed4d285f0d5027c33a279ffe4c3c7a1d74e7",
"index": 26,
"amount": 1,
"name": "DUMBeenz #321",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8afe93adf082cafd65b3c89bb81ea870fdc0690ac12c03dfdd76096b5ef14b13",
"index": 27,
"amount": 1,
"name": "Ergnome #021 Amateur Superergnome",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7e984d68a8318c5d69135e657204ec4384775ec9e8c908df8aae232dec3a045a",
"index": 28,
"amount": 1,
"name": "ERGnomes Loyalty Crypto vs Fiat [26/221]",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "84cf601057b4f180b65a6d2652b95866b6173d36ace824795670d30222dc4e4f",
"index": 29,
"amount": 1,
"name": "Ergnome #395 Claud, the Tripping Chameleon",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0560d9af6b75b80d071814623ac4698246276cbe99f5dd60901a6dd7b430",
"index": 30,
"amount": 1,
"name": "CYTI Blob 5/10",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 31,
"amount": 26000000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "9e7b601a7ff6f8d0c19d3ece84827d320a014dce38cd3e2c813195e14cbda369",
"index": 32,
"amount": 4000000000,
"name": "Paideia Seed Round whitelist token",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "08c6c22658afdd10a6336f1d1a8314e3d660c514a1fc2ec31f46c3dba4fd6cba",
"index": 33,
"amount": 1,
"name": "ErgoGames Staker Round Vesting Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e4b5dca0a82dc5fbf5091805a91a8db153628e99096b580978eaf85a6abd27f4",
"index": 34,
"amount": 50,
"name": "Shiba Kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 35,
"amount": 2,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5a34d53ca483924b9a6aa0c771f11888881b516a8d1a9cdc535d063fe26d065e",
"index": 36,
"amount": 178054979725,
"name": "LunaDog",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "64c8e0866c352d27a3346fa6ab17f947d8cebe6d01e45b8564773e0e64042a2e",
"index": 37,
"amount": 1000000,
"name": "Hopium",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 38,
"amount": 2000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a699d8e6467a9d0bb32d84c135b05dfb0cdddd4fc8e2caa9b9af0aa2666a3a6f",
"index": 39,
"amount": 1500000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "de12d73f494aa5525810ca5e18e257e7195edb3f78788ad0af286d8f150d3aa7",
"index": 40,
"amount": 1,
"name": "Ergo_0001",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "94180232cc0d91447178a0a995e2c14c57fbf03b06d5d87d5f79226094f52ffc",
"index": 41,
"amount": 1000000000,
"name": "eTOSI",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "af0561bf9cff34963c259e685b2f96a901841350d9b01308e174c14f93d3e7e7",
"index": 42,
"amount": 26000000000,
"name": "eVOTE2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
"index": 43,
"amount": 522489,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "97208a959a4acd6865a999eb3f4aa7c2fa50f079e709d2e488c18b445b67e8b7",
"value": 1000000,
"index": 0,
"outputBlockId": "6f0aea799aa2a1cfb8d953b710dc54e347f8d5b513ac2f723bdb931ad7cc128a",
"outputTransactionId": "e390d0937bcd36ae108752f6c5d384cd6b63b7bed3e31ba68b23495438394ab9",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c81a8084af5f3c80a8d6b907040c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,1700,100000000,30,1000000000,2,6]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a07204c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b222074cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8202f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d4720e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3200b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade020340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed9020607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b22,74cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8,2f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d47,e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3,0b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade0,340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed90,607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858]"
}
}
}
],
"outputs": [
{
"boxId": "0071460b23584bbf4ee85e9cea68a5806e205492c846412800c9d35c3699e549",
"transactionId": "2ab2ae7bbd03ad0ac6bf117df69bf47e3fd6a4f68f32a20e2d158df730a79073",
"blockId": "3f2052f17761fdb20e5570a14e551d624251c689ec4e0b39731fea5f524fdec9",
"value": 978400000,
"index": 0,
"globalIndex": 27178653,
"creationHeight": 954658,
"settlementHeight": 954660,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
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