Transaction
ID: 090a5ccdc9...9a71
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.4262 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.3069 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.4241 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.3069 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:
0.0011 ERG
Transaction Details
Confirmations: 888,681
Total coins transferred: 0.7331 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000298 ERG
Raw Transaction Data
{
"id": "090a5ccdc9af4fa7fc0166bb8fd022d9e347f5523db18e92f782b84776bf9a71",
"blockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"inclusionHeight": 871942,
"timestamp": 1668097985261,
"index": 12,
"globalIndex": 4301971,
"numConfirmations": 888681,
"inputs": [
{
"boxId": "0c18ed1b84d8cf6eec20979a9b1ac4d27a52ec7302bb16ef5b026ad82566a8b6",
"value": 426200000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"outputTransactionId": "99ac0716a30ae1a23c75537b31d80d3832534f91e37719362f66e42cac2c5fc1",
"outputIndex": 0,
"outputGlobalIndex": 23478865,
"outputCreatedAt": 871940,
"outputSettledAt": 871942,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\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(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\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(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: 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)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\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](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n )\n )\n } else { placeholder[Boolean](136) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020202000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,1,0,0,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R9": {
"serializedValue": "058001",
"sigmaType": "SLong",
"renderedValue": "64"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "3eed48de91c652a6f1485ddd023c91b236f9eb4c847bd91daf47b0dea8160d40",
"value": 306900000,
"index": 1,
"spendingProof": null,
"outputBlockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"outputTransactionId": "2d7190322cfce88571e78fb69da65755dead259f6dd448860448784e2577a861",
"outputIndex": 0,
"outputGlobalIndex": 23478868,
"outputCreatedAt": 871940,
"outputSettledAt": 871942,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: Coll(15,-16,-46,56,7,-50,-57,1,-128,29,11,-33,34,42,60,-42,-36,47,63,-72,-84,-2,70,-47,-97,31,59,118,44,-120,8,-50)\n5: 3\n6: 0\n7: 0\n8: 4\n9: CBigInt(-1)\n10: 9\n11: CBigInt(0)\n12: 1\n13: 0\n14: 1\n15: 0\n16: 2\n17: 3\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 1\n25: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n26: 1\n27: 1\n28: 0\n29: 2\n30: 2\n31: 1000000\n32: 2\n33: 0\n34: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n35: 2\n36: 0\n37: 8\n38: 2\n39: 1\n40: false\n41: 0\n42: 2\n43: 3\n44: 1000000\n45: 1000000\n46: 1\n47: 0\n48: 0\n49: 1\n50: false\n51: 0\n52: 2\n53: 3\n54: 1\n55: 0\n56: 0\n57: 1\n58: 0\n59: 1\n60: false",
"ergoTreeScript": "{\n val l1 = SELF.R9[Long].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll4 = box3.R4[Coll[Coll[Byte]]].get\n val coll5 = coll4(placeholder[Int](2))\n val bool6 = (blake2b256(box2.propositionBytes) == coll5) && (blake2b256(OUTPUTS(placeholder[Int](3)).propositionBytes) == coll5)\n val coll7 = placeholder[Coll[Byte]](4)\n val coll8 = coll4(placeholder[Int](5))\n val coll9 = box3.R5[Coll[Long]].get\n val bi10 = byteArrayToBigInt(CONTEXT.headers(placeholder[Int](6)).id.slice(placeholder[Int](7), placeholder[Int](8)))\n val bool11 = max(bi10, placeholder[BigInt](9) * bi10) + l1.toBigInt % coll9(placeholder[Int](10)).toBigInt == placeholder[BigInt](11)\n val box12 = OUTPUTS(placeholder[Int](12))\n val box13 = OUTPUTS(placeholder[Int](13))\n val bool14 = SELF.creationInfo._1 == box13.creationInfo._1\n val l15 = coll9(placeholder[Int](14))\n val coll16 = box12.tokens\n val i17 = coll16.size\n sigmaProp(\n (\n if (((((l1 == placeholder[Long](15)) && (INPUTS.size == placeholder[Int](16))) && (OUTPUTS.size > placeholder[Int](17))) && bool6) && (\n OUTPUTS(placeholder[Int](18)).propositionBytes == SELF.propositionBytes\n )) {(\n val box18 = OUTPUTS(placeholder[Int](19))\n val coll19 = box18.tokens\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((coll19.size == placeholder[Int](20)) && (box18.value == SELF.value)) && (coll19(placeholder[Int](21))._1 == coll7)) && (\n coll19(placeholder[Int](22))._2 == placeholder[Long](23)\n )\n ) && (coll19(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25))\n ) && (coll19(placeholder[Int](26))._2 == placeholder[Long](27))\n ) && (box18.R8[Long].get == SELF.R8[Long].get)\n ) && (box18.R9[Long].get == OUTPUTS(placeholder[Int](28)).R9[Long].get)\n ) && (blake2b256(OUTPUTS(placeholder[Int](29)).propositionBytes) == coll8)\n ) && (OUTPUTS(placeholder[Int](30)).value == placeholder[Long](31))\n ) && (OUTPUTS(placeholder[Int](32)).tokens(placeholder[Int](33))._1 == placeholder[Coll[Byte]](34))\n ) && (OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._2 == coll9(placeholder[Int](37)))\n ) && (OUTPUTS(placeholder[Int](38)).tokens.size == placeholder[Int](39))\n )} else { placeholder[Boolean](40) } || if ((\n ((((bool11 && (l1 > placeholder[Long](41))) && (INPUTS.size == placeholder[Int](42))) && (OUTPUTS.size == placeholder[Int](43))) && bool6) && (\n blake2b256(box12.propositionBytes) == coll8\n )\n ) && (!bool14)) {\n (\n (\n (\n ((box13.value >= box2.value - l15 + SELF.value - placeholder[Long](44)) && (box13.R9[Long].get == l1)) && (box12.value == placeholder[Long](45))\n ) && (i17 == placeholder[Int](46))\n ) && (coll16(placeholder[Int](47))._1 == coll7)\n ) && (coll16(placeholder[Int](48))._2 == placeholder[Long](49))\n } else { placeholder[Boolean](50) }\n ) || if ((\n (((((!bool11) && (l1 > placeholder[Long](51))) && (INPUTS.size == placeholder[Int](52))) && (OUTPUTS.size == placeholder[Int](53))) && bool6) && (\n box12.propositionBytes == SELF.propositionBytes\n )\n ) && (!bool14)) {\n (\n (\n (\n ((((box13.value >= box2.value - l15) && (box13.R9[Long].get == l1)) && (box12.value == SELF.value)) && (i17 == placeholder[Int](54))) && (\n coll16(placeholder[Int](55))._1 == coll7\n )\n ) && (coll16(placeholder[Int](56))._2 == placeholder[Long](57))\n ) && (box12.R9[Long].get == placeholder[Long](58))\n ) && (box12.R8[Long].get == SELF.R8[Long].get + placeholder[Long](59))\n } else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0ff0d23807cec701801d0bdf222a3cd6dc2f3fb8acfe46d19f1f3b762c8808ce",
"index": 0,
"amount": 1,
"name": "Blobinator",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100100",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0]"
},
"R6": {
"serializedValue": "08cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"sigmaType": "SSigmaProp",
"renderedValue": "0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0e0f5b6f626a656374204f626a6563745d",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b6f626a656374204f626a6563745d"
}
}
}
],
"dataInputs": [
{
"boxId": "f9b13f108718b19aafa90d41e27ebd4b80b86e9f6b1f506fbaa7de3739ef0a51",
"value": 1000000,
"index": 0,
"outputBlockId": "e487b8ea1d74c1dc93642c0288211922e53483fc414bdccf88fdebf4d434374b",
"outputTransactionId": "e1ad60c13fe27392e4c59eb644332772515b0e6e1fdfba30e151fc005709c63d",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c8338084af5f3c8084af5f0402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,100000000,30,100000000,2,1]"
},
"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": "1a0720596ef46911906fb2de515da11db417eacb44e335b89f9c026d8869e41e56eef3203a8df4db1fb74a3eaaf0f29553148600ae46cdaaf9f16db2ca7b4862c86d724020e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f202587c4dcc441bdda22e7d3ff7b6d1557835853d17cffa7d21d4de1009ce63cd920845667968c7037cc14851c27a7fe7deb08b5051e17a9625915a824ecc8f3a593202da002614898cb775565c83b537dc2a18d9d639402be15db0fa846907751ffdb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[596ef46911906fb2de515da11db417eacb44e335b89f9c026d8869e41e56eef3,3a8df4db1fb74a3eaaf0f29553148600ae46cdaaf9f16db2ca7b4862c86d7240,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,2587c4dcc441bdda22e7d3ff7b6d1557835853d17cffa7d21d4de1009ce63cd9,845667968c7037cc14851c27a7fe7deb08b5051e17a9625915a824ecc8f3a593,2da002614898cb775565c83b537dc2a18d9d639402be15db0fa846907751ffdb]"
}
}
}
],
"outputs": [
{
"boxId": "e98bde9d55b7db18205841efb8202e2f2d2ad81b16124a401b9e19be0daee439",
"transactionId": "090a5ccdc9af4fa7fc0166bb8fd022d9e347f5523db18e92f782b84776bf9a71",
"blockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"value": 424100000,
"index": 0,
"globalIndex": 23478871,
"creationHeight": 871940,
"settlementHeight": 871942,
"ergoTree": "1089010400040004000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f40104020400010004060400040208cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400050401000402040001000408040a040c04000402040004000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec705d00f0580897a0400050401000100050005d00f0580897a05000100010005000508040204020e20ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8041005040502058084af5f010001000506050a0402050001000500040404040404040604060500040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f0408040a040c04000402040204080402040a040c04000406040204020408040a0400040c040004000400040c04020400040201000100010005040406050405d00f0580897a04040404050405000100010001000502040804040402040404040100010001000506050005000400050401000508050a04040402040a05020508050a0502050a050005040100d828d601b2db6501fe730000d602e4c6a70608d603b2a5730100d604cbc27203d605e4c67201041ad606b27205730200d6077303d608e4c672010511d609b27208730400d60a9a73057209d60b959372047206d801d60bdb63087203eded92b1720b7306938cb2720b73070001720792c17203720a7308d60cb27205730900d60dc1a7d60eb27208730a00d60fdb63087203d610b2a5730b00d611c27210d612e4c6a70705d613d0730cd614e4c6a70905d615e4c6a7040ed61695720bededed93e4c6720309057214938cb2720f730d0002730e93e4c67203040e721593e4c6720306087202730fd617e4c6a70510d618c17203d619b1720fd61a937218720dd61be4c672030705d61ccb7211d61d9593721c7206d801d61ddb63087210eded92b1721d7310938cb2721d73110001720792c17210720a7312d61eb1a5d61fdb63087210d620b27217731300d621b27217731400d622b27217731500d623b27217731600d624b27217731700d625e4c672010711d626e4c6a70805d6278cb2720f73180002d62893e4c6720309057214ea02d1938cb2db6308720173190001731aeb02ea027202d1ecececec95ef720bd801d629a29d9c720d720e731b731c95937204720cd801d62ab2720f731d00edededed938c722a017207938c722a02731e92c172037229937211d0720292c172109999720d72297209731f732095ed720b9372127321d801d62999720dc17203959372117213ededed92c17210a29d9ca272297229720e73227323721693e4c672030510721793e4c67203070573247325732695ed720b937212732795eded937218720d721693e4c6720305107217d801d629e4c67203070595ed93722973289172197329d801d62ab2720f732a00ed938c722a01732b938c722a02b27208732c00ec937229732deded937229732e90e4c67203080599720d720a92e4c672030805732f7330733195eded720b94721273329472127333edededed721a721693e4c6720305107217937219733493721b7335733695eded720bef721d93721273379591721e73389593721c720cededededededed721a721693b2e4c672030510733900b27217733a0093b2e4c672030510733b00b27217733c0093721b733d93b1721f733e938cb2721f733f00017340d802d629e4c672030510d62ab27229734100ececededededed90722a734290b27229734300734493b27229734500722093b27229734600722193b272297347007222928cb2721f734800027e999a722ab272297349009a7223722405ededededed93722a722393b27229734a00722493b27229734b009a7220734c93b27229734d00722193b27229734e007222928cb2721f734f0002b2e4c6720106119c73509a7220735100ededed93722a722393b27229735200722493b272297353007220d801d62bb27229735400ecededed91722b735594722b722193b272297356007357928cb2721f73580002b27225735900eded93722b722193b27229735a009a7222735b928cb2721f735c0002b272259a7222735d00735e735f7360d1ececec95ed720b93721273619591721e7362959372117213edededededededed92c17210a29d9c9c72267363720e7364736593c2b2a5736600d0720292c1b2a57367007226721a937227736893e4c67203040e721593e4c672030510721793721b73697228736a736b736c95eded720b721d937212736d9592721e736e9593cbc2b2a5736f00b2720573700093cbc2b2a4737100b2720573720073737374737595eded720b721d9372127376eced721693721b7377edededed93e4c67210040e721593e4c672100608720293e4c672100705737893e4c6721009057214938cb2721f73790002737a737b95eded720bec937212737c937212737d93b1a4737eedededededed93cbc2b2a4737f00b2720573800100722892722773810193e4c67203040e721593e4c672030510721793e4c6720306087202eceded93721273820193721b738301937227738401eded93721273850193721b738601937227738701738801",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\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(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\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(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: 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)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if ((bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) && (INPUTS.size == placeholder[Int](126))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\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](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n )\n )\n } else { placeholder[Boolean](136) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020202000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,1,0,0,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R9": {
"serializedValue": "058001",
"sigmaType": "SLong",
"renderedValue": "64"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "89faa9482eaefcfc4ac95f68f69694378764af5230297eff73d6d1677b9dc655",
"mainChain": true
},
{
"boxId": "f06e917cdf8488ef093b18b2376a79ddb87ec089f1726f04ddee31aa4450a4e8",
"transactionId": "090a5ccdc9af4fa7fc0166bb8fd022d9e347f5523db18e92f782b84776bf9a71",
"blockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"value": 306900000,
"index": 1,
"globalIndex": 23478872,
"creationHeight": 871940,
"settlementHeight": 871942,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: Coll(15,-16,-46,56,7,-50,-57,1,-128,29,11,-33,34,42,60,-42,-36,47,63,-72,-84,-2,70,-47,-97,31,59,118,44,-120,8,-50)\n5: 3\n6: 0\n7: 0\n8: 4\n9: CBigInt(-1)\n10: 9\n11: CBigInt(0)\n12: 1\n13: 0\n14: 1\n15: 0\n16: 2\n17: 3\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 1\n25: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n26: 1\n27: 1\n28: 0\n29: 2\n30: 2\n31: 1000000\n32: 2\n33: 0\n34: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n35: 2\n36: 0\n37: 8\n38: 2\n39: 1\n40: false\n41: 0\n42: 2\n43: 3\n44: 1000000\n45: 1000000\n46: 1\n47: 0\n48: 0\n49: 1\n50: false\n51: 0\n52: 2\n53: 3\n54: 1\n55: 0\n56: 0\n57: 1\n58: 0\n59: 1\n60: false",
"ergoTreeScript": "{\n val l1 = SELF.R9[Long].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll4 = box3.R4[Coll[Coll[Byte]]].get\n val coll5 = coll4(placeholder[Int](2))\n val bool6 = (blake2b256(box2.propositionBytes) == coll5) && (blake2b256(OUTPUTS(placeholder[Int](3)).propositionBytes) == coll5)\n val coll7 = placeholder[Coll[Byte]](4)\n val coll8 = coll4(placeholder[Int](5))\n val coll9 = box3.R5[Coll[Long]].get\n val bi10 = byteArrayToBigInt(CONTEXT.headers(placeholder[Int](6)).id.slice(placeholder[Int](7), placeholder[Int](8)))\n val bool11 = max(bi10, placeholder[BigInt](9) * bi10) + l1.toBigInt % coll9(placeholder[Int](10)).toBigInt == placeholder[BigInt](11)\n val box12 = OUTPUTS(placeholder[Int](12))\n val box13 = OUTPUTS(placeholder[Int](13))\n val bool14 = SELF.creationInfo._1 == box13.creationInfo._1\n val l15 = coll9(placeholder[Int](14))\n val coll16 = box12.tokens\n val i17 = coll16.size\n sigmaProp(\n (\n if (((((l1 == placeholder[Long](15)) && (INPUTS.size == placeholder[Int](16))) && (OUTPUTS.size > placeholder[Int](17))) && bool6) && (\n OUTPUTS(placeholder[Int](18)).propositionBytes == SELF.propositionBytes\n )) {(\n val box18 = OUTPUTS(placeholder[Int](19))\n val coll19 = box18.tokens\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((coll19.size == placeholder[Int](20)) && (box18.value == SELF.value)) && (coll19(placeholder[Int](21))._1 == coll7)) && (\n coll19(placeholder[Int](22))._2 == placeholder[Long](23)\n )\n ) && (coll19(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25))\n ) && (coll19(placeholder[Int](26))._2 == placeholder[Long](27))\n ) && (box18.R8[Long].get == SELF.R8[Long].get)\n ) && (box18.R9[Long].get == OUTPUTS(placeholder[Int](28)).R9[Long].get)\n ) && (blake2b256(OUTPUTS(placeholder[Int](29)).propositionBytes) == coll8)\n ) && (OUTPUTS(placeholder[Int](30)).value == placeholder[Long](31))\n ) && (OUTPUTS(placeholder[Int](32)).tokens(placeholder[Int](33))._1 == placeholder[Coll[Byte]](34))\n ) && (OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._2 == coll9(placeholder[Int](37)))\n ) && (OUTPUTS(placeholder[Int](38)).tokens.size == placeholder[Int](39))\n )} else { placeholder[Boolean](40) } || if ((\n ((((bool11 && (l1 > placeholder[Long](41))) && (INPUTS.size == placeholder[Int](42))) && (OUTPUTS.size == placeholder[Int](43))) && bool6) && (\n blake2b256(box12.propositionBytes) == coll8\n )\n ) && (!bool14)) {\n (\n (\n (\n ((box13.value >= box2.value - l15 + SELF.value - placeholder[Long](44)) && (box13.R9[Long].get == l1)) && (box12.value == placeholder[Long](45))\n ) && (i17 == placeholder[Int](46))\n ) && (coll16(placeholder[Int](47))._1 == coll7)\n ) && (coll16(placeholder[Int](48))._2 == placeholder[Long](49))\n } else { placeholder[Boolean](50) }\n ) || if ((\n (((((!bool11) && (l1 > placeholder[Long](51))) && (INPUTS.size == placeholder[Int](52))) && (OUTPUTS.size == placeholder[Int](53))) && bool6) && (\n box12.propositionBytes == SELF.propositionBytes\n )\n ) && (!bool14)) {\n (\n (\n (\n ((((box13.value >= box2.value - l15) && (box13.R9[Long].get == l1)) && (box12.value == SELF.value)) && (i17 == placeholder[Int](54))) && (\n coll16(placeholder[Int](55))._1 == coll7\n )\n ) && (coll16(placeholder[Int](56))._2 == placeholder[Long](57))\n ) && (box12.R9[Long].get == placeholder[Long](58))\n ) && (box12.R8[Long].get == SELF.R8[Long].get + placeholder[Long](59))\n } else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0ff0d23807cec701801d0bdf222a3cd6dc2f3fb8acfe46d19f1f3b762c8808ce",
"index": 0,
"amount": 1,
"name": "Blobinator",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 1,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100100",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0]"
},
"R6": {
"serializedValue": "08cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"sigmaType": "SSigmaProp",
"renderedValue": "0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "058001",
"sigmaType": "SLong",
"renderedValue": "64"
},
"R4": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "89faa9482eaefcfc4ac95f68f69694378764af5230297eff73d6d1677b9dc655",
"mainChain": true
},
{
"boxId": "bc4d42c8383d1a0019d55d6c90c9135319915bb54fe70cbd0ccf6b268ee84faf",
"transactionId": "090a5ccdc9af4fa7fc0166bb8fd022d9e347f5523db18e92f782b84776bf9a71",
"blockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"value": 1000000,
"index": 2,
"globalIndex": 23478873,
"creationHeight": 871940,
"settlementHeight": 871942,
"ergoTree": "100f040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004040400040004020400010004000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec7058084af5f040204020100d803d601b2db6501fe730000d6027301d603b2a5730200ea02d1ed9593b1a57303ed93b1db6308b2a5730400730593b1db6308b2a573060073077308938cb2db6308720173090001730aeb027202d19593c27203d07202ed92c17203730b93c1b2a5730c00b2e4c672010511730d00730e",
"ergoTreeConstants": "0: 0\n1: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n2: 0\n3: 2\n4: 0\n5: 0\n6: 1\n7: 0\n8: false\n9: 0\n10: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n11: 100000000\n12: 1\n13: 1\n14: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = placeholder[SigmaProp](1)\n val box3 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n if (OUTPUTS.size == placeholder[Int](3)) {\n (OUTPUTS(placeholder[Int](4)).tokens.size == placeholder[Int](5)) && (OUTPUTS(placeholder[Int](6)).tokens.size == placeholder[Int](7))\n } else { placeholder[Boolean](8) } && (box1.tokens(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n ) && prop2 || sigmaProp(\n if (box3.propositionBytes == prop2.propBytes) {\n (box3.value >= placeholder[Long](11)) && (OUTPUTS(placeholder[Int](12)).value == box1.R5[Coll[Long]].get(placeholder[Int](13)))\n } else { placeholder[Boolean](14) }\n )\n}",
"address": "DaL2oRoq8FPfFKpZPsWqiv6qHkyiGUFdNVDVdNUmQMVV29iZTvds1XU8w9RJRChcSwCKhmqkpK8AiAqDQiuheZHb63iw23M6FMqRxFrdF4vXD4HzYRiRihYibMFXt4rR6XyWi8wVmgfojv27cQ4RAfYtuZdjJU4fWtKUj4aeB1iLNbi3axAg9MjCBF8PSDs69VcKmBB5vTpJDi1Pd9G2ZVxwUV15dDYDZZdmUaxxAD6Sutgov3Lf7wTUAKcdze5RqZvJ9TzBruLrbsNj65fQmPswngiVzAeGHh4PVok3D",
"assets": [
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 0,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5c0227615c3cfb0930a910a19961f7acc2f735315d714fd6fd95a22694595657",
"mainChain": true
},
{
"boxId": "cf043f5fe8bfe84a924f820a8f0fdd9addbaab88efa5a3c0ec8bde0661fbad35",
"transactionId": "090a5ccdc9af4fa7fc0166bb8fd022d9e347f5523db18e92f782b84776bf9a71",
"blockId": "ab19f4f95bcdaa6ce498d2d434e98fbc31a6540421eadccdd3471286a3d9d2a1",
"value": 1100000,
"index": 3,
"globalIndex": 23478874,
"creationHeight": 871940,
"settlementHeight": 871942,
"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": "82fd9f477756a9bdc6bc52fdd0c06a150ce8b3df013d33dc85dd9b799dca34c7",
"mainChain": true
}
],
"size": 3694,
"isUnconfirmed": false
}