Transaction
ID: d8e2ea76df...62a0
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
156.17 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.099317079 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
156.07 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 725,832
Total coins transferred: 156.17 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000216 ERG
Raw Transaction Data
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 100000000\n5: 100000000\n6: 2\n7: 1\n8: 0\n9: 100000000\n10: 100000000\n11: 100000000\n12: Coll(104,105,-92,75,-90,26,103,-79,-91,30,-53,-33,2,40,28,-53,91,17,11,-109,-101,67,-34,36,38,-18,-97,7,-12,-25,2,93)\n13: 0\n14: 0\n15: Coll(77,-69,-62,-89,-12,-50,-69,-111,123,6,104,-15,-99,-84,113,-83,-30,-23,-68,-109,-38,-18,-2,-127,100,73,-29,-91,-36,-58,-81,-100)\n16: 0\n17: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n18: 0\n19: 3\n20: 4000000\n21: 1000\n22: 2\n23: 2\n24: CBigInt(100)\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: Coll(95,64,-31,-94,54,-7,-53,-90,8,115,41,-66,-48,90,-44,21,41,-21,-114,-125,-30,1,-79,-22,111,-70,87,-33,-108,-38,-72,-48)\n31: 1\n32: 1000000\n33: 1000000\n34: 0\n35: 1000000\n36: 3\n37: 4000000\n38: 1000\n39: 2\n40: 2\n41: CBigInt(100)\n42: CBigInt(0)\n43: 2\n44: 0\n45: 0\n46: false\n47: 2\n48: 3\n49: 0\n50: 3\n51: 4000000\n52: 1000\n53: 100000000\n54: 2\n55: 2\n56: CBigInt(100)\n57: 100000000\n58: 0\n59: false\n60: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val ge2 = SELF.R8[GroupElement].get\n val coll3 = SELF.propositionBytes\n val coll4 = CONTEXT.dataInputs\n val tuple5 = SELF.tokens(placeholder[Int](1))\n val l6 = tuple5._2\n val box7 = coll4(placeholder[Int](2))\n val coll8 = box7.R4[Coll[Long]].get\n val i9 = coll8.size\n val tuple10 = SELF.R5[(Int, Int)].get\n val i11 = tuple10._1\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val l14 = coll13.slice(tuple10._2, coll13.size).fold(placeholder[Long](4), {(tuple14: (Long, Long)) => tuple14._1 * tuple14._2 / placeholder[Long](5) })\n val box15 = coll4(placeholder[Int](6))\n val coll16 = box15.R4[Coll[Long]].get\n val l17 = if (i9 == i11) { l14 } else {(\n val i17 = i11 + placeholder[Int](7)\n val l18 = coll16.slice(placeholder[Int](8), coll16.size).fold(l14, {(tuple18: (Long, Long)) => tuple18._1 * tuple18._2 / placeholder[Long](9) })\n if (i9 == i17) { l18 } else { coll8.slice(i17, i9).fold(l18, {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](10) }) }\n )}\n val l18 = l6 * l17 / placeholder[Long](11)\n val tuple19 = SELF.R6[(Long, Long)].get\n val l20 = tuple19._1\n val coll21 = SELF.R4[Coll[Byte]].get\n val coll22 = SELF.R7[Coll[Byte]].get\n val l23 = SELF.R9[Long].get\n val coll24 = placeholder[Coll[Byte]](12)\n val bool25 = box12.tokens(placeholder[Int](13))._1 == coll24\n val bool26 = box12.R6[Int].get == i11\n val bool27 = box7.tokens(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15)\n val bool28 = (box15.tokens(placeholder[Int](16))._1 == coll24) && (box15.R6[Int].get == i9)\n val l29 = SELF.value\n val coll30 = placeholder[Coll[Byte]](17)\n val coll31 = tuple5._1\n if (box1 == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val box33 = coll4(placeholder[Int](19))\n val coll34 = box33.tokens\n val bi35 = box32.value.toBigInt - placeholder[Int](20).toBigInt\n val bi36 = box33.R4[Int].get.toBigInt\n val bi37 = box33.value.toBigInt\n val i38 = placeholder[Int](21)\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box32.propositionBytes == coll3) && (\n coll34(placeholder[Int](22))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * placeholder[Int](23).toBigInt / placeholder[BigInt](\n 24\n ) * i38.toBigInt + bi35 * bi36 >= l18.toBigInt * l20.toBigInt / i38.toBigInt\n )\n ) && (box32.tokens(placeholder[Int](25)) == tuple5)\n ) && (\n (\n (\n (((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (\n box32.R7[Coll[Byte]].get == coll22\n )\n ) && (box32.R8[GroupElement].get == ge2)\n ) && (box32.R9[Long].get == l23)\n )\n ) && bool25\n ) && bool26\n ) && bool27\n ) && (coll34(placeholder[Int](26))._1 == coll22)\n ) && bool28\n )\n )} else { if (INPUTS(placeholder[Int](27)) == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](28))\n val coll33 = box32.propositionBytes\n val l34 = box32.value\n val box35 = OUTPUTS(placeholder[Int](29))\n val bool36 = blake2b256(box35.propositionBytes) == placeholder[Coll[Byte]](30)\n val coll37 = box1.tokens\n val coll38 = box35.tokens\n val tuple39 = coll38(placeholder[Int](31))\n val bool40 = tuple39._1 == coll30\n val bool41 = box35.value >= placeholder[Int](32).toLong + placeholder[Long](33)\n val l42 = tuple39._2\n val tuple43 = coll38(placeholder[Int](34))\n val coll44 = box32.tokens\n sigmaProp(((((coll33 == coll21) && (l34 >= l29 - placeholder[Long](35))) && bool36) || if (coll37.size >= placeholder[Int](36)) {(\n val bi45 = l29.toBigInt - placeholder[Int](37).toBigInt\n val bi46 = box1.R4[Int].get.toBigInt\n val bi47 = box1.value.toBigInt\n val i48 = placeholder[Int](38)\n val bi49 = coll37(placeholder[Int](39))._2.toBigInt * bi45 * bi46 / bi47 + bi47 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i48.toBigInt + bi45 * bi46\n val bi50 = l18.toBigInt\n val bi51 = bi49 - bi50\n val bi52 = tuple19._2.toBigInt\n val bi53 = bi51 * i48.toBigInt - bi52 / i48.toBigInt\n (((((((((((bi49 <= bi50 * l20.toBigInt / i48.toBigInt) || (HEIGHT.toLong > l23)) && bool36) && bool40) && bool41) && if (bi53 == placeholder[BigInt](42)) { l42.toBigInt >= bi49 } else {(\n val box54 = OUTPUTS(placeholder[Int](43))\n val tuple55 = box54.tokens(placeholder[Int](44))\n (((l42.toBigInt >= bi50 + bi51 * bi52 / i48.toBigInt) && (tuple55._2.toBigInt >= bi53)) && (box54.propositionBytes == coll21)) && (tuple55._1 == coll30)\n )}) && (tuple43 == tuple5)) && (coll37(placeholder[Int](45))._1 == coll22)) && bool25) && bool26) && bool27) && bool28\n )} else { placeholder[Boolean](46) }) || if ((coll44.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple45 = coll44(placeholder[Int](49))\n val l46 = tuple45._2\n val box47 = coll4(placeholder[Int](50))\n val coll48 = box47.tokens\n val bi49 = l34.toBigInt - placeholder[Int](51).toBigInt\n val bi50 = box47.R4[Int].get.toBigInt\n val bi51 = box47.value.toBigInt\n val i52 = placeholder[Int](52)\n ((((((((((((((coll33 == coll3) && (l34 >= l29)) && (tuple45._1 == coll31)) && (l46.toBigInt >= l6.toBigInt - l42.toBigInt * placeholder[Long](53).toBigInt / l17.toBigInt)) && ((((((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (box32.R7[Coll[Byte]].get == coll22)) && (box32.R8[GroupElement].get == ge2)) && (box32.R9[Long].get == l23))) && bool36) && bool41) && bool40) && ((tuple43._2 == l6 - l46) && (tuple43._1 == coll31))) && bool25) && bool26) && bool27) && bool28) && (coll48(placeholder[Int](54))._2.toBigInt * bi49 * bi50 / bi51 + bi51 * placeholder[Int](55).toBigInt / placeholder[BigInt](56) * i52.toBigInt + bi49 * bi50 >= l46 * l17 / placeholder[Long](57).toBigInt * l20.toBigInt / i52.toBigInt)) && (coll48(placeholder[Int](58))._1 == coll22)\n )} else { placeholder[Boolean](59) })\n )} else { sigmaProp(placeholder[Boolean](60)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "1641a2089d2fb7f30f338fd4d071d459deca014af53634f6cb5caaa8e82dd16c",
"index": 0,
"amount": 8,
"name": "Borrow Tokens",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580200",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,0]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R7": {
"serializedValue": "0e209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec"
},
"R9": {
"serializedValue": "0584a3b001",
"sigmaType": "SLong",
"renderedValue": "1444034"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "8bc8ee88a51263bf067618bd26e4a2c937bded43149f266d17fed86854a43acb",
"mainChain": true
},
{
"boxId": "f5ae638c4bb3d9b07b3ed028ac7510e1609e3920632449cea2d887c1e17d50f2",
"transactionId": "d8e2ea76dfdbac2170b88f5314365e78aaa6fb6112a0a8c2a3cf589a34df62a0",
"blockId": "bb224e320b8f9c9dfc2ec517cf8ab949fada9af626adef8c63318d19d621c7fe",
"value": 1000000,
"index": 1,
"globalIndex": 30856656,
"creationHeight": 1044809,
"settlementHeight": 1044811,
"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": "9ef4d1a64f8b6c456d0f84550e02ff87481886dbf1d0cba8b7e656c13bc835fa",
"mainChain": true
},
{
"boxId": "635305bcc0898813087f9573bf50b2028dcbf8fbfe420daa498040fe93e3c780",
"transactionId": "d8e2ea76dfdbac2170b88f5314365e78aaa6fb6112a0a8c2a3cf589a34df62a0",
"blockId": "bb224e320b8f9c9dfc2ec517cf8ab949fada9af626adef8c63318d19d621c7fe",
"value": 156073787945,
"index": 2,
"globalIndex": 30856657,
"creationHeight": 1044809,
"settlementHeight": 1044811,
"ergoTree": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))}",
"address": "9i9RhfdHQA2bHA8GqWKkYevp3nozASRjJfFkh29utjNL9gqE7Q7",
"assets": [
{
"tokenId": "23e9527bf85fe5b56d1040bb50c7e0bc4678d1295d5100c582ed4e78f287877a",
"index": 0,
"amount": 987,
"name": "Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c316bd15385c8b26bcfa3091c73881ae07fb606703491980215d043c5e26d4e5",
"index": 1,
"amount": 89999999999999980,
"name": "Test",
"decimals": 0,
"type": "EIP-004"
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