Transaction
ID: 2c1d9ceb70...def9
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
191,936.57 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.1 ERG
Tokens:
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
191,937.67 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 703,081
Total coins transferred: 191,937.67 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000866 ERG
Raw Transaction Data
{
"id": "2c1d9ceb702ff3193fcea7011969f5b3fa05523ddd840605ae06bf91cededef9",
"blockId": "92a5726c9449eb3ea7ba4a6d2326c75e9b499fec5f3a884147d08a0fddf34b4f",
"inclusionHeight": 1061813,
"timestamp": 1691156538345,
"index": 6,
"globalIndex": 5619087,
"numConfirmations": 703081,
"inputs": [
{
"boxId": "8b13e8b6c15aaad130476fd28aeb8fc005880704333561593b114e9d16c81043",
"value": 191936570750809,
"index": 0,
"spendingProof": null,
"outputBlockId": "c1dda4947a932d3afddd328a4edf7066cdb1442e0c7da5afdddf4318328709d0",
"outputTransactionId": "9b3efb01a2f6151eb89be73b907770f9bb30710d276125ef0d0770740ae1db04",
"outputIndex": 0,
"outputGlobalIndex": 31515428,
"outputCreatedAt": 1061809,
"outputSettledAt": 1061811,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 9223372036854775807\n6: 9223372036854775807\n7: 0\n8: 1000\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 10000000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val i2 = SELF.R4[Int].get\n val coll3 = box1.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll3(placeholder[Int](1))\n val tuple6 = coll4(placeholder[Int](2))\n val tuple7 = coll3(placeholder[Int](3))\n val tuple8 = coll4(placeholder[Int](4))\n val l9 = placeholder[Long](5) - tuple6._2\n val l10 = placeholder[Long](6) - tuple5._2 - l9\n val l11 = box1.value\n val l12 = SELF.value\n val l13 = l11 - l12\n val bool14 = l13 > placeholder[Long](7)\n val l15 = tuple8._2\n val bi16 = l15.toBigInt\n val bi17 = l13.toBigInt\n val l18 = tuple7._2 - l15\n val bi19 = l12.toBigInt\n val i20 = placeholder[Int](8)\n val bi21 = l18.toBigInt\n val bi22 = l10.toBigInt\n val bi23 = l9.toBigInt\n val bi24 = bi17 * bi23\n val bi25 = bi21 * bi23\n sigmaProp(\n (\n (\n (\n (\n (((box1.propositionBytes == SELF.propositionBytes) && (box1.R4[Int].get == i2)) && (coll3(placeholder[Int](9)) == coll4(placeholder[Int](10)))) && (\n tuple5._1 == tuple6._1\n )\n ) && (tuple7._1 == tuple8._1)\n ) && (coll3.size == placeholder[Int](11))\n ) && if (l10 == placeholder[Long](12)) {\n if (bool14) { bi16 * bi17 * i2.toBigInt >= !l18.toBigInt * bi19 * i20.toBigInt + l13 * i2.toLong.toBigInt } else {\n bi19 * bi21 * i2.toBigInt >= !l13.toBigInt * bi16 * i20.toBigInt + l18 * i2.toLong.toBigInt\n }\n } else { if (bool14 && (l18 > placeholder[Long](13))) { bi22 <= min(bi24 / bi19, bi25 / bi16) } else { (bi24 >= bi22 * bi19) && (bi25 >= bi22 * bi16) } }\n ) && (l11 > placeholder[Long](14))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "303f39026572bcb4060b51fafc93787a236bb243744babaa99fceb833d61e198",
"index": 1,
"amount": 9223371982697639000,
"name": "ERG_SigUSD_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 21826098,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
},
{
"boxId": "612cf0051d41693b1aa4faf19db1457d8c65b8b0f5f04a0ef453bd1c740d3345",
"value": 1098673918,
"index": 1,
"spendingProof": null,
"outputBlockId": "4a28a6bc757313bfa163c4a51998ec399338f6042d4c9b90958bbfa84313cf32",
"outputTransactionId": "1148e70e6ff586fba18576ecfe409fa87f39b1515c5e37d8216bbc06c33a344e",
"outputIndex": 1,
"outputGlobalIndex": 31032187,
"outputCreatedAt": 1049358,
"outputSettledAt": 1049360,
"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(78,57,0,38,-89,-100,109,-48,16,29,-103,33,47,126,-34,-20,121,-106,79,73,-107,-111,110,92,28,-56,-27,-93,2,0,67,-24)\n13: 0\n14: 0\n15: Coll(-115,109,-32,43,-93,-124,-74,88,-63,-12,85,-123,33,-29,15,-82,120,97,108,-106,112,36,68,80,106,51,7,58,-57,119,-32,27)\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: 5000000\n21: 1000\n22: 2\n23: 2\n24: CBigInt(100)\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: Coll(-77,123,-102,94,-112,-120,127,96,-8,46,-4,-42,77,123,-41,-67,-124,11,40,6,47,19,67,-104,-128,-32,-55,10,23,101,-97,31)\n31: 1000000\n32: 1000000\n33: 1\n34: 0\n35: 1000000\n36: 3\n37: 5000000\n38: 1000\n39: 2\n40: 2\n41: CBigInt(100)\n42: CBigInt(1)\n43: 2\n44: 0\n45: 0\n46: false\n47: 1\n48: 3\n49: 0\n50: 3\n51: 5000000\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 bool37 = box35.value >= placeholder[Int](31).toLong + placeholder[Long](32)\n val coll38 = box35.tokens\n val tuple39 = coll38(placeholder[Int](33))\n val bool40 = tuple39._1 == coll30\n val l41 = tuple39._2\n val tuple42 = coll38(placeholder[Int](34))\n val bool43 = tuple42 == tuple5\n val coll44 = box1.tokens\n val coll45 = box32.tokens\n sigmaProp((((((((((((coll33 == coll21) && (l34 >= l29 - placeholder[Long](35))) && bool36) && bool37) && (bool40 && (l41 > l18))) && bool43) && bool25) && bool26) && bool27) && bool28) || if (coll44.size >= placeholder[Int](36)) {(\n val bi46 = l29.toBigInt - placeholder[Int](37).toBigInt\n val bi47 = box1.R4[Int].get.toBigInt\n val bi48 = box1.value.toBigInt\n val i49 = placeholder[Int](38)\n val bi50 = coll44(placeholder[Int](39))._2.toBigInt * bi46 * bi47 / bi48 + bi48 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i49.toBigInt + bi46 * bi47\n val bi51 = l18.toBigInt\n val bi52 = bi50 - bi51\n val bi53 = tuple19._2.toBigInt\n val bi54 = bi52 * i49.toBigInt - bi53 / i49.toBigInt\n (((((((((((bi50 <= bi51 * l20.toBigInt / i49.toBigInt) || (HEIGHT.toLong > l23)) && bool36) && bool40) && bool37) && if (bi54 < placeholder[BigInt](42)) { l41.toBigInt >= bi50 } else {(\n val box55 = OUTPUTS(placeholder[Int](43))\n val tuple56 = box55.tokens(placeholder[Int](44))\n (((l41.toBigInt >= bi51 + bi52 * bi53 / i49.toBigInt) && (tuple56._2.toBigInt >= bi54)) && (box55.propositionBytes == coll21)) && (tuple56._1 == coll30)\n )}) && bool43) && (coll44(placeholder[Int](45))._1 == coll22)) && bool25) && bool26) && bool27) && bool28\n )} else { placeholder[Boolean](46) }) || if ((coll45.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple46 = coll45(placeholder[Int](49))\n val l47 = tuple46._2\n val box48 = coll4(placeholder[Int](50))\n val coll49 = box48.tokens\n val bi50 = l34.toBigInt - placeholder[Int](51).toBigInt\n val bi51 = box48.R4[Int].get.toBigInt\n val bi52 = box48.value.toBigInt\n val i53 = placeholder[Int](52)\n ((((((((((((((coll33 == coll3) && (l34 >= l29)) && (tuple46._1 == coll31)) && (l47.toBigInt >= l6.toBigInt - l41.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) && bool37) && bool40) && ((tuple42._2 == l6 - l47) && (tuple42._1 == coll31))) && bool25) && bool26) && bool27) && bool28) && (coll49(placeholder[Int](54))._2.toBigInt * bi50 * bi51 / bi52 + bi52 * placeholder[Int](55).toBigInt / placeholder[BigInt](56) * i53.toBigInt + bi50 * bi51 >= l47 * l17 / placeholder[Long](57).toBigInt * l20.toBigInt / i53.toBigInt)) && (coll49(placeholder[Int](58))._1 == coll22)\n )} else { placeholder[Boolean](59) })\n )} else { sigmaProp(placeholder[Boolean](60)) } }\n}",
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"serializedValue": "11648084af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5fa887af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212,100000212]"
},
"R5": {
"serializedValue": "05c0cd8101",
"sigmaType": "SLong",
"renderedValue": "1061728"
},
"R6": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
}
}
],
"outputs": [
{
"boxId": "ce2d8a1435203d849d4902d7c014b08864992ff25e18de4b385b6af740d2a2d8",
"transactionId": "2c1d9ceb702ff3193fcea7011969f5b3fa05523ddd840605ae06bf91cededef9",
"blockId": "92a5726c9449eb3ea7ba4a6d2326c75e9b499fec5f3a884147d08a0fddf34b4f",
"value": 191937665424727,
"index": 0,
"globalIndex": 31515489,
"creationHeight": 1061811,
"settlementHeight": 1061813,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 9223372036854775807\n6: 9223372036854775807\n7: 0\n8: 1000\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 10000000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val i2 = SELF.R4[Int].get\n val coll3 = box1.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll3(placeholder[Int](1))\n val tuple6 = coll4(placeholder[Int](2))\n val tuple7 = coll3(placeholder[Int](3))\n val tuple8 = coll4(placeholder[Int](4))\n val l9 = placeholder[Long](5) - tuple6._2\n val l10 = placeholder[Long](6) - tuple5._2 - l9\n val l11 = box1.value\n val l12 = SELF.value\n val l13 = l11 - l12\n val bool14 = l13 > placeholder[Long](7)\n val l15 = tuple8._2\n val bi16 = l15.toBigInt\n val bi17 = l13.toBigInt\n val l18 = tuple7._2 - l15\n val bi19 = l12.toBigInt\n val i20 = placeholder[Int](8)\n val bi21 = l18.toBigInt\n val bi22 = l10.toBigInt\n val bi23 = l9.toBigInt\n val bi24 = bi17 * bi23\n val bi25 = bi21 * bi23\n sigmaProp(\n (\n (\n (\n (\n (((box1.propositionBytes == SELF.propositionBytes) && (box1.R4[Int].get == i2)) && (coll3(placeholder[Int](9)) == coll4(placeholder[Int](10)))) && (\n tuple5._1 == tuple6._1\n )\n ) && (tuple7._1 == tuple8._1)\n ) && (coll3.size == placeholder[Int](11))\n ) && if (l10 == placeholder[Long](12)) {\n if (bool14) { bi16 * bi17 * i2.toBigInt >= !l18.toBigInt * bi19 * i20.toBigInt + l13 * i2.toLong.toBigInt } else {\n bi19 * bi21 * i2.toBigInt >= !l13.toBigInt * bi16 * i20.toBigInt + l18 * i2.toLong.toBigInt\n }\n } else { if (bool14 && (l18 > placeholder[Long](13))) { bi22 <= min(bi24 / bi19, bi25 / bi16) } else { (bi24 >= bi22 * bi19) && (bi25 >= bi22 * bi16) } }\n ) && (l11 > placeholder[Long](14))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "303f39026572bcb4060b51fafc93787a236bb243744babaa99fceb833d61e198",
"index": 1,
"amount": 9223371982697639000,
"name": "ERG_SigUSD_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 21825975,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
},
"spentTransactionId": "7d24c29ce2e7747b8a2312f0282d5b14985e231f6caca58b1f84317bd4358351",
"mainChain": true
},
{
"boxId": "db8aed10021a3fdb21b7b33bd9cd494c4b21877679d2f246b4eb67374ebbea44",
"transactionId": "2c1d9ceb702ff3193fcea7011969f5b3fa05523ddd840605ae06bf91cededef9",
"blockId": "92a5726c9449eb3ea7ba4a6d2326c75e9b499fec5f3a884147d08a0fddf34b4f",
"value": 2000000,
"index": 1,
"globalIndex": 31515490,
"creationHeight": 1061811,
"settlementHeight": 1061813,
"ergoTree": "100f04000e20cbd7dccbd76985c52bacd799e5a561fa6fb121c3b3564bfa9d7324fcb88178c4040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(-53,-41,-36,-53,-41,105,-123,-59,43,-84,-41,-103,-27,-91,97,-6,111,-79,33,-61,-77,86,75,-6,-99,115,36,-4,-72,-127,120,-60)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf5Dsf4MFUjZd7G4cpDXvdPv8hi5hSHEtaZu2s1pZfEhBg4ZUjWndS4Fc6iypeQ14MurnSKAVEa8gajrZ7SnFU8GyJgtA8tkiziMmCAAgFdgFhEd5anEgrh2EnCc4yNEwV37xauCRFCnHpMLTY3DjMsFFVzwdNtm4wx8aeAhKb3fSURQGmkGzv21fWGQUSSEQod3snRjboi4wb8uvYjCXAJGuydKpP6wH9qW1xKTmzWKXSNghbc9vc4GuTPYzcndd8KK6B6CnFpJH1risYcoH8T1D38mXkBHCMmw1cNhnFk9YaSz4xVJgmWBitwegnKPz9czNmURnf161r",
"assets": [
{
"tokenId": "58b0be4265fbfbdce9070bb26c4fa8ca8f79aa365d5c13efb46aa065e3b91306",
"index": 0,
"amount": 100,
"name": "Borrow Token sigUsd 00",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 107,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cb05cd0312e524af2828a5525c3c8dd1aece71df17526bc4239c6b12f352b989",
"mainChain": true
},
{
"boxId": "b147446b135c2d62854827d938df6b70a2d1c9c2a3fe6e708d9de78074bf5392",
"transactionId": "2c1d9ceb702ff3193fcea7011969f5b3fa05523ddd840605ae06bf91cededef9",
"blockId": "92a5726c9449eb3ea7ba4a6d2326c75e9b499fec5f3a884147d08a0fddf34b4f",
"value": 1000000,
"index": 2,
"globalIndex": 31515491,
"creationHeight": 1061811,
"settlementHeight": 1061813,
"ergoTree": "0008cd029e04b6a9d6503b701a3c3dfb5e7b48132750b6858dd19b4921adc15681c19db6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9e04b6,e07274,...)))}",
"address": "9fietBccjHwLwKLS9W11E6AvmVZnNi84pBHxT1z9Fr9x1KkyBJh",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 16,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "3560db1bcaa97e4d4c5f77f7dd0e8bfb30a8d25fa402fa35650314641609bd63",
"mainChain": true
},
{
"boxId": "a32b456d5093503bff891ce2fccf85264c02e3749edad7cee2b68f11c548e469",
"transactionId": "2c1d9ceb702ff3193fcea7011969f5b3fa05523ddd840605ae06bf91cededef9",
"blockId": "92a5726c9449eb3ea7ba4a6d2326c75e9b499fec5f3a884147d08a0fddf34b4f",
"value": 1000000,
"index": 3,
"globalIndex": 31515492,
"creationHeight": 1061811,
"settlementHeight": 1061813,
"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": "036f40b7ba319ae3dc554fce596624d38e270e8714be886f72c4901e93a36b94",
"mainChain": true
}
],
"size": 1155,
"isUnconfirmed": false
}