Transaction
ID: a896e781fe...1345
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.903 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.903 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.85 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.054 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 66,487
Total coins transferred: 1.81 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000508 ERG
Raw Transaction Data
{
"id": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"inclusionHeight": 1703078,
"timestamp": 1768812319612,
"index": 16,
"globalIndex": 10167845,
"numConfirmations": 66487,
"inputs": [
{
"boxId": "794d7f262c5b302b134be68477845ba7a568576a386d73615820b60e847e99a3",
"value": 903000000,
"index": 0,
"spendingProof": "6d6f34a1f01eab92f295b6b4f04bf14e952dc36aa255dae488c27a902937aee6bb00e66b701f78743134a4409614d752e1f717e6ddbeae33",
"outputBlockId": "fa546fb3585934da38fad10e179a30a6936ff9ae7a62294166ad6474b0d61194",
"outputTransactionId": "79df66d1304bda3d1d6beda6163dc5f72a48d8dfb6262fe4c6703371fd258f5b",
"outputIndex": 0,
"outputGlobalIndex": 53041816,
"outputCreatedAt": 1702461,
"outputSettledAt": 1702463,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c261ad5129b124794586383f3a93a534ce5a399fac89d3e2be03947391c84af7",
"sigmaType": "Coll[SByte]",
"renderedValue": "c261ad5129b124794586383f3a93a534ce5a399fac89d3e2be03947391c84af7"
}
}
},
{
"boxId": "b4f4c105cc61cbf663f5a444a3d084210b69c11e69289b19d7e2cd678475bc08",
"value": 903000000,
"index": 1,
"spendingProof": "a202b907b53baebe765953429409da7acfbaf8115ac91f060e0e3d4cbc83c1cac8b6bd6ae9d3a18e089d1ceca61b0135ea75817f516571a9",
"outputBlockId": "acdbbe43789af3a3f4162caa25b99439f4d46047209395bdc4f42e1a83851db4",
"outputTransactionId": "920b6f830cfabfb32a409db62421bf86628b35bf369097ecc3113dcb10f9d14d",
"outputIndex": 1,
"outputGlobalIndex": 53055022,
"outputCreatedAt": 1702931,
"outputSettledAt": 1702933,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(64,-35,-122,102,37,95,112,59,105,78,99,58,-10,18,-104,107,-111,-101,-43,-26,77,19,127,-71,-111,104,21,-36,69,29,59,67)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(78,-67,-28,94,2,-58,-17,-44,46,-120,-75,-23,-38,23,-51,-21,-32,-24,49,109,8,74,-17,111,-98,-21,100,6,110,24,-73,106)\n10: 0\n11: 1\n12: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n13: 0\n14: 0\n15: 0\n16: 1\n17: 5\n18: 7\n19: 2\n20: 0\n21: 32\n22: 32\n23: 40\n24: 1000\n25: 6\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 3\n37: 0\n38: 1\n39: 10000000\n40: 1\n41: 1000000\n42: 1000\n43: 1000\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1000000\n49: 10000000\n50: 5\n51: 1000000\n52: 10000000\n53: 100000000\n54: 100000000\n55: true\n56: 1000\n57: 1\n58: 1\n59: 980000\n60: 1000000\n61: CBigInt(1)\n62: 0\n63: 0\n64: 0\n65: 0\n66: -1\n67: 1\n68: 1\n69: 2000000\n70: 0\n71: 0\n72: 0\n73: true\n74: 0\n75: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n val i6 = coll5.indexOf(SELF, placeholder[Int](3))\n val coll7 = SELF.R9[Coll[Long]].get\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](4))\n val coll10 = tuple9._1\n val coll11 = SELF.R4[Coll[Byte]].get\n val ge12 = SELF.R5[GroupElement].get\n val l13 = SELF.R6[Long].get\n val coll14 = SELF.R8[Coll[Byte]].get\n val l15 = SELF.value\n val func16 = {(box16: Box) =>\n val coll18 = box16.propositionBytes\n val bool19 = coll18 == coll3\n bool19\n }\n val coll17 = OUTPUTS.filter(func16)\n val box18 = coll17.getOrElse(i6, SELF)\n val coll19 = box18.tokens\n val tuple20 = coll19(placeholder[Int](5))\n val l21 = tuple20._2\n val bi22 = placeholder[BigInt](6)\n val bi23 = CONTEXT.dataInputs.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](7)) && (coll25(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l24 = tuple9._2\n val bi25 = l24.toBigInt\n val coll26 = coll8.slice(placeholder[Int](11), coll8.size)\n val coll27 = placeholder[Coll[Byte]](12)\n val func28 = {(box28: Box) =>\n val coll30 = box28.propositionBytes\n val coll31 = blake2b256(coll30)\n val bool32 = coll31 == coll4\n bool32\n }\n val coll29 = OUTPUTS.filter(func28)\n val box30 = coll29.getOrElse(placeholder[Int](13), SELF)\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](14))\n val l33 = coll7(placeholder[Int](15))\n val i34 = coll5.size\n val bool35 = i34 == placeholder[Int](16)\n val l36 = HEIGHT.toLong\n val l37 = coll7(placeholder[Int](17)) + coll7(placeholder[Int](18))\n val l38 = coll7(placeholder[Int](19))\n val coll39 = coll14.slice(placeholder[Int](20), placeholder[Int](21))\n val coll40 = coll14.slice(placeholder[Int](22), placeholder[Int](23))\n val bi41 = bi25 * bi23 / bi22\n val bi42 = if (l36 < l37) {(\n val i42 = placeholder[Int](24)\n bi41 * coll7(placeholder[Int](25)).toBigInt + i42.toBigInt / i42.toBigInt\n )} else { bi41 }\n val box43 = coll29.getOrElse(placeholder[Int](26), SELF)\n val coll44 = box43.tokens\n val tuple45 = coll44(placeholder[Int](27))\n val func46 = {(box46: Box) =>\n val coll48 = box46.propositionBytes\n val coll49 = blake2b256(coll48)\n val bool50 = coll49 == coll4\n bool50\n }\n val coll47 = OUTPUTS.filter(func46)\n val box48 = coll47.getOrElse(placeholder[Int](28), SELF)\n val coll49 = box48.tokens\n val tuple50 = coll49(placeholder[Int](29))\n if (coll2.size > placeholder[Int](30)) {(\n val func51 = func16\n val coll52 = coll17\n val i53 = coll52.size\n val func54 = func28\n val coll55 = coll29\n val box56 = coll2.getOrElse(i6, SELF)\n val l57 = box56.R4[Coll[Long]].get(placeholder[Int](31))\n if (i53 > placeholder[Int](32)) {(\n val box58 = box18\n val bool59 = OUTPUTS.map({(box59: Box) => box59.id }).indexOf(box58.id, placeholder[Int](33)) == box56.R9[Coll[Int]].get(\n placeholder[Int](34)\n ) - placeholder[Int](35)\n val l60 = box58.value\n val coll61 = coll19\n val tuple62 = tuple20\n val coll63 = box58.R4[Coll[Byte]].get\n val ge64 = box58.R5[GroupElement].get\n val coll65 = box58.R7[Coll[Byte]].get\n val bool66 = ((((l60 >= coll7(placeholder[Int](36))) && (tuple62._1 == coll10)) && (coll63 == coll11)) && (ge64 == ge12)) && (coll65 == coll1)\n val coll67 = box58.R8[Coll[Byte]].get\n val l68 = box58.R6[Long].get\n val bool69 = box58.R9[Coll[Long]].get == coll7\n if (coll55.size > placeholder[Int](37)) {(\n val bi70 = l21.toBigInt\n val box71 = box30\n val coll72 = coll31\n val tuple73 = coll72(placeholder[Int](38))\n val tuple74 = tuple32\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15)) && (l60 <= l15 + placeholder[Long](39))) && (\n bi70 >= bi25 - tuple73._2.toBigInt * bi22 / bi23\n )\n ) && (coll61.slice(placeholder[Int](40), coll61.size) == coll26)\n ) && (l68 == l13)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](41)) && (tuple74._1 == coll10)) && (tuple73._1 == coll27))\n ) && (tuple74._2 == l24 - l21)\n ) && (l57.toBigInt >= bi70 * bi23 / bi22 * l33.toBigInt / placeholder[Int](42).toBigInt)\n ) && bool35\n ) && (l36 >= l37)\n )\n )} else {(\n val bi70 = l57.toBigInt\n val bi71 = l21.toBigInt * bi23 / bi22 * l33.toBigInt / placeholder[Int](43).toBigInt\n val prop72 = sigmaProp(INPUTS.filter({(box72: Box) =>\n val coll74 = box72.tokens\n ((coll74.size > placeholder[Int](44)) && (coll74(placeholder[Int](45))._1 == coll39)) && (box72.R9[Coll[Coll[Byte]]].get(INPUTS.indexOf(SELF, placeholder[Int](46))) == coll40)\n }).size > placeholder[Int](47)) || proveDlog(ge12)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15 - placeholder[Long](48))) && (l60 <= l15 + placeholder[Long](49))) && (\n coll61 == coll8\n )\n ) && (l68 > l36 + l38)\n ) && (l68 < l36 + l38 + placeholder[Long](50))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool35\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15 - placeholder[Long](51))) && (l60 <= l15 + placeholder[Long](52))) && (\n coll61 == coll8\n )\n ) && (l13 != placeholder[Long](53))\n ) && (l68 == placeholder[Long](54))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool35\n ) || prop72 && sigmaProp(placeholder[Boolean](55)) || prop72 && sigmaProp(\n ((((((bool66 && (l60 == l15)) && (coll61 == coll8)) && (coll63 == coll11)) && (ge64 == ge12)) && (coll65 == coll1)) && bool69) && (i34 == i53)\n )\n )}\n )} else {(\n val bi58 = l57.toBigInt\n val i59 = placeholder[Int](56)\n val box60 = box43\n val coll61 = coll44\n val tuple62 = tuple45\n val tuple63 = coll61(placeholder[Int](57))\n val coll64 = SELF.id\n val bi65 = bi58 - bi42\n val bi66 = coll7(placeholder[Int](58)).toBigInt\n val bi67 = bi65 * i59.toBigInt - bi66 / i59.toBigInt\n val l68 = tuple63._2\n sigmaProp(\n (\n (\n (\n (\n (((bi58 <= bi42 * l33.toBigInt / i59.toBigInt) && (l36 >= l13)) || (l36 > SELF.creationInfo._1.toLong + placeholder[Long](59))) && (\n (((box60.value >= placeholder[Long](60)) && (tuple62._1 == coll10)) && (tuple63._1 == coll27)) && (box60.id != coll64)\n )\n ) && (tuple62._2 == l24)\n ) && if (bi67 < placeholder[BigInt](61)) { l68.toBigInt >= bi58 } else {(\n val box69 = OUTPUTS.filter({(box69: Box) => box69.propositionBytes == coll11 }).getOrElse(placeholder[Int](62), SELF)\n val tuple70 = box69.tokens(placeholder[Int](63))\n (((l68.toBigInt >= bi42 + bi65 * bi66 / i59.toBigInt) && (tuple70._2.toBigInt >= bi67)) && (tuple70._1 == coll27)) && (box69.id != coll64)\n )}\n ) && (\n INPUTS.map({(box69: Box) => box69.id }).indexOf(coll64, placeholder[Int](64)) == box56.R9[Coll[Int]].get(placeholder[Int](65)) * placeholder[Int](\n 66\n ) - placeholder[Int](67)\n )\n ) && bool35\n )\n )}\n )} else {(\n val func51 = func46\n val coll52 = coll47\n val box53 = box48\n val coll54 = coll49\n val tuple55 = tuple50\n val tuple56 = coll54(placeholder[Int](68))\n sigmaProp(\n (\n (\n (\n ((((box53.value >= placeholder[Long](69)) && (tuple55._1 == coll10)) && (tuple56._1 == coll27)) && (box53.id != SELF.id)) && (tuple55._2 == l24)\n ) && (tuple56._2.toBigInt > bi42)\n ) && if (INPUTS.filter({(box57: Box) =>\n val coll59 = box57.tokens\n ((coll59.size > placeholder[Int](70)) && (coll59(placeholder[Int](71))._1 == coll39)) && (box57.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](72)) { placeholder[Boolean](73) } else {(\n val box57 = OUTPUTS.filter({(box57: Box) => box57.propositionBytes == coll11 }).getOrElse(placeholder[Int](74), SELF)\n ((box57.value >= l15 - placeholder[Long](75)) && (box57.tokens == coll26)) && (box57.id != SELF.id)\n )}\n ) && bool35\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2de309e03de5e07b7bcdddbb3a07b115c837e70909545935a4dedb40a45f2cce",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e2056d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f",
"sigmaType": "Coll[SByte]",
"renderedValue": "56d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f"
},
"R9": {
"serializedValue": "1108fe153c108087a70e00b0f0cf01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1407,30,8,15000000,0,1702936,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "cc2c42d9293c72c8ec84a40ab2d15afe03fa003488b64bb77cf22777e702edc1",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "acdbbe43789af3a3f4162caa25b99439f4d46047209395bdc4f42e1a83851db4",
"outputTransactionId": "920b6f830cfabfb32a409db62421bf86628b35bf369097ecc3113dcb10f9d14d",
"outputIndex": 3,
"outputGlobalIndex": 53055024,
"outputCreatedAt": 1702931,
"outputSettledAt": 1702933,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "56d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020404",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,2]"
},
"R4": {
"serializedValue": "110a80a0b787e905ee97e235fe153c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,56378871,1407,30,15000000,8,0,50,15,20000000]"
}
}
}
],
"dataInputs": [
{
"boxId": "081555a2406bb344e1b1ef17deba459263a42c3ee29a546d5e3b8ce8514e9a5d",
"value": 1000000,
"index": 0,
"outputBlockId": "c1d1fe2f4f0956339116c36a5c05afd441581f6bd80dd974a434b8d16a21c59d",
"outputTransactionId": "85cad50f3426b6c6368dcf36909daa0199d826a459feac1be8ee8c2cfd02b702",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0582e9cf01",
"sigmaType": "SLong",
"renderedValue": "1702465"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "70e7023d5a7e52c9e617fc714180d7f21603b5671e79dec8e2eb39679ec679e6",
"value": 18212416862359,
"index": 1,
"outputBlockId": "a22193c71f3b82bc5bf01cd67e1c430ffbaab904142b3c71a28e623b1d43fa45",
"outputTransactionId": "12ef44d01c154a01d8930a26c603ac2987d33556f04e78a7b391631405fe10e9",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "cc68929554f8004703a1d797258f131e05bf10e70c64715b4bf13418a63154bd",
"transactionId": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"value": 850000000,
"index": 0,
"globalIndex": 53058822,
"creationHeight": 1703077,
"settlementHeight": 1703078,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(64,-35,-122,102,37,95,112,59,105,78,99,58,-10,18,-104,107,-111,-101,-43,-26,77,19,127,-71,-111,104,21,-36,69,29,59,67)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(78,-67,-28,94,2,-58,-17,-44,46,-120,-75,-23,-38,23,-51,-21,-32,-24,49,109,8,74,-17,111,-98,-21,100,6,110,24,-73,106)\n10: 0\n11: 1\n12: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n13: 0\n14: 0\n15: 0\n16: 1\n17: 5\n18: 7\n19: 2\n20: 0\n21: 32\n22: 32\n23: 40\n24: 1000\n25: 6\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 3\n37: 0\n38: 1\n39: 10000000\n40: 1\n41: 1000000\n42: 1000\n43: 1000\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1000000\n49: 10000000\n50: 5\n51: 1000000\n52: 10000000\n53: 100000000\n54: 100000000\n55: true\n56: 1000\n57: 1\n58: 1\n59: 980000\n60: 1000000\n61: CBigInt(1)\n62: 0\n63: 0\n64: 0\n65: 0\n66: -1\n67: 1\n68: 1\n69: 2000000\n70: 0\n71: 0\n72: 0\n73: true\n74: 0\n75: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n val i6 = coll5.indexOf(SELF, placeholder[Int](3))\n val coll7 = SELF.R9[Coll[Long]].get\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](4))\n val coll10 = tuple9._1\n val coll11 = SELF.R4[Coll[Byte]].get\n val ge12 = SELF.R5[GroupElement].get\n val l13 = SELF.R6[Long].get\n val coll14 = SELF.R8[Coll[Byte]].get\n val l15 = SELF.value\n val func16 = {(box16: Box) =>\n val coll18 = box16.propositionBytes\n val bool19 = coll18 == coll3\n bool19\n }\n val coll17 = OUTPUTS.filter(func16)\n val box18 = coll17.getOrElse(i6, SELF)\n val coll19 = box18.tokens\n val tuple20 = coll19(placeholder[Int](5))\n val l21 = tuple20._2\n val bi22 = placeholder[BigInt](6)\n val bi23 = CONTEXT.dataInputs.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](7)) && (coll25(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l24 = tuple9._2\n val bi25 = l24.toBigInt\n val coll26 = coll8.slice(placeholder[Int](11), coll8.size)\n val coll27 = placeholder[Coll[Byte]](12)\n val func28 = {(box28: Box) =>\n val coll30 = box28.propositionBytes\n val coll31 = blake2b256(coll30)\n val bool32 = coll31 == coll4\n bool32\n }\n val coll29 = OUTPUTS.filter(func28)\n val box30 = coll29.getOrElse(placeholder[Int](13), SELF)\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](14))\n val l33 = coll7(placeholder[Int](15))\n val i34 = coll5.size\n val bool35 = i34 == placeholder[Int](16)\n val l36 = HEIGHT.toLong\n val l37 = coll7(placeholder[Int](17)) + coll7(placeholder[Int](18))\n val l38 = coll7(placeholder[Int](19))\n val coll39 = coll14.slice(placeholder[Int](20), placeholder[Int](21))\n val coll40 = coll14.slice(placeholder[Int](22), placeholder[Int](23))\n val bi41 = bi25 * bi23 / bi22\n val bi42 = if (l36 < l37) {(\n val i42 = placeholder[Int](24)\n bi41 * coll7(placeholder[Int](25)).toBigInt + i42.toBigInt / i42.toBigInt\n )} else { bi41 }\n val box43 = coll29.getOrElse(placeholder[Int](26), SELF)\n val coll44 = box43.tokens\n val tuple45 = coll44(placeholder[Int](27))\n val func46 = {(box46: Box) =>\n val coll48 = box46.propositionBytes\n val coll49 = blake2b256(coll48)\n val bool50 = coll49 == coll4\n bool50\n }\n val coll47 = OUTPUTS.filter(func46)\n val box48 = coll47.getOrElse(placeholder[Int](28), SELF)\n val coll49 = box48.tokens\n val tuple50 = coll49(placeholder[Int](29))\n if (coll2.size > placeholder[Int](30)) {(\n val func51 = func16\n val coll52 = coll17\n val i53 = coll52.size\n val func54 = func28\n val coll55 = coll29\n val box56 = coll2.getOrElse(i6, SELF)\n val l57 = box56.R4[Coll[Long]].get(placeholder[Int](31))\n if (i53 > placeholder[Int](32)) {(\n val box58 = box18\n val bool59 = OUTPUTS.map({(box59: Box) => box59.id }).indexOf(box58.id, placeholder[Int](33)) == box56.R9[Coll[Int]].get(\n placeholder[Int](34)\n ) - placeholder[Int](35)\n val l60 = box58.value\n val coll61 = coll19\n val tuple62 = tuple20\n val coll63 = box58.R4[Coll[Byte]].get\n val ge64 = box58.R5[GroupElement].get\n val coll65 = box58.R7[Coll[Byte]].get\n val bool66 = ((((l60 >= coll7(placeholder[Int](36))) && (tuple62._1 == coll10)) && (coll63 == coll11)) && (ge64 == ge12)) && (coll65 == coll1)\n val coll67 = box58.R8[Coll[Byte]].get\n val l68 = box58.R6[Long].get\n val bool69 = box58.R9[Coll[Long]].get == coll7\n if (coll55.size > placeholder[Int](37)) {(\n val bi70 = l21.toBigInt\n val box71 = box30\n val coll72 = coll31\n val tuple73 = coll72(placeholder[Int](38))\n val tuple74 = tuple32\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15)) && (l60 <= l15 + placeholder[Long](39))) && (\n bi70 >= bi25 - tuple73._2.toBigInt * bi22 / bi23\n )\n ) && (coll61.slice(placeholder[Int](40), coll61.size) == coll26)\n ) && (l68 == l13)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](41)) && (tuple74._1 == coll10)) && (tuple73._1 == coll27))\n ) && (tuple74._2 == l24 - l21)\n ) && (l57.toBigInt >= bi70 * bi23 / bi22 * l33.toBigInt / placeholder[Int](42).toBigInt)\n ) && bool35\n ) && (l36 >= l37)\n )\n )} else {(\n val bi70 = l57.toBigInt\n val bi71 = l21.toBigInt * bi23 / bi22 * l33.toBigInt / placeholder[Int](43).toBigInt\n val prop72 = sigmaProp(INPUTS.filter({(box72: Box) =>\n val coll74 = box72.tokens\n ((coll74.size > placeholder[Int](44)) && (coll74(placeholder[Int](45))._1 == coll39)) && (box72.R9[Coll[Coll[Byte]]].get(INPUTS.indexOf(SELF, placeholder[Int](46))) == coll40)\n }).size > placeholder[Int](47)) || proveDlog(ge12)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15 - placeholder[Long](48))) && (l60 <= l15 + placeholder[Long](49))) && (\n coll61 == coll8\n )\n ) && (l68 > l36 + l38)\n ) && (l68 < l36 + l38 + placeholder[Long](50))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool35\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool66 && bool59) && (coll14 == coll67)) && (l60 >= l15 - placeholder[Long](51))) && (l60 <= l15 + placeholder[Long](52))) && (\n coll61 == coll8\n )\n ) && (l13 != placeholder[Long](53))\n ) && (l68 == placeholder[Long](54))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool35\n ) || prop72 && sigmaProp(placeholder[Boolean](55)) || prop72 && sigmaProp(\n ((((((bool66 && (l60 == l15)) && (coll61 == coll8)) && (coll63 == coll11)) && (ge64 == ge12)) && (coll65 == coll1)) && bool69) && (i34 == i53)\n )\n )}\n )} else {(\n val bi58 = l57.toBigInt\n val i59 = placeholder[Int](56)\n val box60 = box43\n val coll61 = coll44\n val tuple62 = tuple45\n val tuple63 = coll61(placeholder[Int](57))\n val coll64 = SELF.id\n val bi65 = bi58 - bi42\n val bi66 = coll7(placeholder[Int](58)).toBigInt\n val bi67 = bi65 * i59.toBigInt - bi66 / i59.toBigInt\n val l68 = tuple63._2\n sigmaProp(\n (\n (\n (\n (\n (((bi58 <= bi42 * l33.toBigInt / i59.toBigInt) && (l36 >= l13)) || (l36 > SELF.creationInfo._1.toLong + placeholder[Long](59))) && (\n (((box60.value >= placeholder[Long](60)) && (tuple62._1 == coll10)) && (tuple63._1 == coll27)) && (box60.id != coll64)\n )\n ) && (tuple62._2 == l24)\n ) && if (bi67 < placeholder[BigInt](61)) { l68.toBigInt >= bi58 } else {(\n val box69 = OUTPUTS.filter({(box69: Box) => box69.propositionBytes == coll11 }).getOrElse(placeholder[Int](62), SELF)\n val tuple70 = box69.tokens(placeholder[Int](63))\n (((l68.toBigInt >= bi42 + bi65 * bi66 / i59.toBigInt) && (tuple70._2.toBigInt >= bi67)) && (tuple70._1 == coll27)) && (box69.id != coll64)\n )}\n ) && (\n INPUTS.map({(box69: Box) => box69.id }).indexOf(coll64, placeholder[Int](64)) == box56.R9[Coll[Int]].get(placeholder[Int](65)) * placeholder[Int](\n 66\n ) - placeholder[Int](67)\n )\n ) && bool35\n )\n )}\n )} else {(\n val func51 = func46\n val coll52 = coll47\n val box53 = box48\n val coll54 = coll49\n val tuple55 = tuple50\n val tuple56 = coll54(placeholder[Int](68))\n sigmaProp(\n (\n (\n (\n ((((box53.value >= placeholder[Long](69)) && (tuple55._1 == coll10)) && (tuple56._1 == coll27)) && (box53.id != SELF.id)) && (tuple55._2 == l24)\n ) && (tuple56._2.toBigInt > bi42)\n ) && if (INPUTS.filter({(box57: Box) =>\n val coll59 = box57.tokens\n ((coll59.size > placeholder[Int](70)) && (coll59(placeholder[Int](71))._1 == coll39)) && (box57.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](72)) { placeholder[Boolean](73) } else {(\n val box57 = OUTPUTS.filter({(box57: Box) => box57.propositionBytes == coll11 }).getOrElse(placeholder[Int](74), SELF)\n ((box57.value >= l15 - placeholder[Long](75)) && (box57.tokens == coll26)) && (box57.id != SELF.id)\n )}\n ) && bool35\n )\n )}\n}",
"address": "JXHS4xr5Bi39muktuZqoMinJNKLgfUmmLSyTDSmrJutcC7e2XK8ehNVH6NQkJPYu7MRMCmMhfEr9CUyT8F6ZZ9wJTz7fCSSzBGyMkC8A1RnangtcaXxLboXbhaTxnnneXJxTk65ZZauoRzZ1jvy7fhpXi6NtaRUgBTqWWSupdByCJwVHBWDsnsUT9iPCzPUQ2oqbByypZVNeKTgTpAGyMxA1jFjkzTzYjCTMJfh58QzNCuMUkaQMHztGtVDXdxk8TMnCPHofevv46TTTutqzbGfNT3USQ3NBeHdMnmgdRHWczimq4twMyxL7w2EHK3vJzdskKbFEGT38iKWvoj1T8aqmvsNGQsyRuPBF3tou8HivMEeBHusRaBB5JiQhUA6GXFp6A71foWxETs8qaexKQydD2728oyPdc2MaEEFxtiRwMXbaBx5AG5fX5KgDNSVVYHJLTyxTcSQZpV5WuPXFFTf9P5yzgkW29eQ7p8eZEupY3x7dx6zT9j2SXQQR7RiYokJE6jjqjS7Batvbi5YacW3Z9WT8wuQrXabtT5aK1LL7Y7mDVgaavDfdhGSLHFQtXJMHZjHM4mzGHfY5zvJrzZE5b4RwtJ6KbLDX34feNSTMvBQCuTPs8mH3a575qCxwrM765fDhz3frgYtMw2XyKiCf5RG1yzG5U58A5BpAkFq2DaUQFujrLfEGw2ypQhxmkiXRRZrETFxPrhwWTFXJ3QVo4XKRqRJRwsFMaZeW9Fpng8AcftE7mTb2wDd9Q3EfNYDWoDne4GKpkY5GCLMoAxxQh4YfrLBCJ6tNmC4rd5oK23G5gi3TPm1VWqvSFwve4o6A48dEi1A5LBX1Zm4EidoHJ45HREZK2GAYQrFMRUEZ6S7cyD4XafSjxxyNU8otmFyKAYrDPxv7r7gfvEEBXPdrXfxDvyNBqwyhyXeeaKahmjmEKMGnEgWrkLUbugsga7VX93ojT1ExX68oowjqtPCCvsCDMXwMhWpHvXSAg6Xs7hvCGRDNzDkzmgZ7czE8r6noxKZ2MtTXiAPJaaxnacK15DRQj8wYgeoWyteeRMTEWyXRdChQoXE6wwD1eAB2n8yH5R2TpAoSo8sR9PKtASCcH24ZmwdgwPohcnsqSc9V1HgP6rTTWLEqygoEPxLSJgFgfTxYCrKVqFh91SzUQRpbfZfK217hoGqEattSnrEE3FR3TSkX2Up8dNvdFc8EPksKiKqn2PgMvj5bDF2VC7qrY7XBFbE5jN9zzU684rhxF5NijTHfyTi8FqhJnx1Fcgh9ryTxge6gUSTC61zKcTPExNrM69ELzAMQr8pr2rgpyV5SGq3nEEZX5ZFTXyWDBJhgmWk3JF2nwZaKq2ofjmYiYKXzSADr7Q4L5En9kUTX87yTswqFJPurYkMbB5iWzat5hMUcVY8DynGGmS9Nfe1iHquKhjTQDKkRw9FX26fcQKKDbVMUpbXsQjpYtdhRVm8w8SaQwQ499HHBDh5fBBWwron1ZbChNvDUNGSwCQpR9hzNSpg8rL2NSUm2KXfKZ1nZ8jsdyGpW3RpX48G9fzXkkU4JyzEGbBWqw8LAqWeUrRNULuHyPWKoexET3EgxKakhhxAApwcqkwszB1EnStRjDwg162fEUPUb9ouZFBNWQPVXaBZVoc5ShRmewVg7YvRu2CgXLz9mzCiXQ8Jx5xsXtGbBDxHjSeqhidrsCvChcugcRYt3rzxHDok4SYJ2QdZyU7QXTJVHrAFhjSozxZHr6FT977PFwgLPurcWcYQacjcUdcgRVcYwPW3QUv72Q2FqXYPqrUSZRachxd7637tKp9k2MXsQLg3ZDJHc25r8QLVfJWRYmFMZBkE9taHgvDjXRaTTtBpvmEjj5HnGxca2vmX643XDXCkMsdspsquwvvcjD2CCZqxYkYWpFCLRBnrbwXheLSyhXM1v8xHm8d4R4MrCorAGaARvq6E33A4QJTyhAUHD3NVnYXc6Hy31YECkYCq5pwBr15qMaJPRY26PJ8YrUPP5bfsvCeJBrPWcUjyhqvN8AVVtcqmN4AQg5Pt6bEsgfEqTtaBoPvdkpaS55qi61p8NQeMyk74ZLSRkKoCNzNH7pEtJDXKUcck99WX3WMFhWvhWmH9w4jf4bAzKQQtFfLDXA1EX2P1JZwKdss3Bzga7Hv4M3Pd8YDhPdUDSowEzctGtMgYhBp4p4rofb8Tx1nQB59GLYCJNkGuHcWuARBNb8zdK9cQmKicki6eYu9CDfXH1rfbxk8m1owuVsf5Cu1YWdeC9YTRSovbk9QpUtPKVVU9GrvQu41EjN52GC7DPPVcZUzAqJ7RtNL56Vp294tRMjpXf6aNYgGyTZW6isqPZAfL4yWUb2TJ5oGKv5CrKNo25tfEVPM5e78Kom3Z4TBXVbBqXquo9KWpKMeFQSvK3k3HboQV8Bt9XwFB12gjveVpqdZQ4yWCkHE7wnSfuMVk7QZ2AHJu3S6wUBWKwfR5udnmKkqJxSNJVXvectzAKA7bXaF1DtjrjSHLRWMg9Mg6JYPkmGUKQQS8DWk6gsApT1ZPv6ajeJigynC8FnU3dPT7cBH3PaT3hwYBkBibM4eAd84NvJMy7y3CoLTvozNXhYkEJRi86jX21",
"assets": [
{
"tokenId": "2de309e03de5e07b7bcdddbb3a07b115c837e70909545935a4dedb40a45f2cce",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e2056d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f",
"sigmaType": "Coll[SByte]",
"renderedValue": "56d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f"
},
"R9": {
"serializedValue": "110880163c108087a70e00b0f0cf01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1408,30,8,15000000,0,1702936,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "a9606e9341e366e05a96ca5c8429fc394953d2d0f2217a4703347a541b5c38d6",
"mainChain": true
},
{
"boxId": "26e3892cdfb111eb6e8830c72fdeca9809062b5153e35f3dccf20135989d0f42",
"transactionId": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"value": 900000000,
"index": 1,
"globalIndex": 53058823,
"creationHeight": 1703077,
"settlementHeight": 1703078,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8bc0d1cd64cf831ec977544789f243ab2736b986a7a34fd3dac080894a2f665a",
"mainChain": true
},
{
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"transactionId": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"value": 1000000,
"index": 2,
"globalIndex": 53058824,
"creationHeight": 1703077,
"settlementHeight": 1703078,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "56d8ebf0fd06cd535e8b28e5e9f114e97b5060b3cd35cd91a99fe1b858f6e03f",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1]"
},
"R4": {
"serializedValue": "110a80a0b787e905a682cc3280163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,53051539,1408,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "8ef2d316ad0a40c52b288ae2296af4f8793abfa8d518c33130e40ecca5a13492",
"mainChain": true
},
{
"boxId": "88c875ecf8485f45b76dda3e8ba9f70f18a19eadb5d41bef81a5b99d04bc840d",
"transactionId": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"value": 54000000,
"index": 3,
"globalIndex": 53058825,
"creationHeight": 1703077,
"settlementHeight": 1703078,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e5cec74b160e06c00e87820052ffbf27a6256b9169129a4bff898af02bb500d4",
"mainChain": true
},
{
"boxId": "cd903256755054618c66d6e1e415bd0125e0e40b2bae333665e4ed93bcff1993",
"transactionId": "a896e781fef03c94707d12ade11406d82e124629e825bb287861a39ead511345",
"blockId": "2e8d2665bb48e153fae51de507b467e1161a0176d9cc2c2893f15793a36334a5",
"value": 2000000,
"index": 4,
"globalIndex": 53058826,
"creationHeight": 1703077,
"settlementHeight": 1703078,
"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": "6bc594b2e4fb72aa0214f066100a5ea5bef9af3041e12a808daa02d4efbd32f1",
"mainChain": true
}
],
"size": 3934,
"isUnconfirmed": false
}