Transaction
ID: cc7b4a3c38...be0d
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
495.25 ERG
Tokens:
49,000
Spent
Address:
Output transaction:
Settlement height:
Value:
96.89 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
458 ERG
Tokens:
49,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
96.89 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
37.25 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 155,966
Total coins transferred: 592.14 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000445 ERG
Raw Transaction Data
{
"id": "cc7b4a3c38b02a135465f9facd9b036a7d892916e988dd43a1d40c32e0f2be0d",
"blockId": "67eeb25d76db990b5332a42006151eaad5e4ebd64c422ece8158da033d42f6ed",
"inclusionHeight": 1612094,
"timestamp": 1757807169563,
"index": 1,
"globalIndex": 9473292,
"numConfirmations": 155966,
"inputs": [
{
"boxId": "8a6ebfad47e8c2db3d72661076ee3e936691a60d7c68a9e6a45fc765b608e0b9",
"value": 495250382844,
"index": 0,
"spendingProof": "543f6c1eed42db026b4b8de106a7b2c4d1877eb914071b960455dcad6ff8d4d58cc105caf0b49af6707eb3e5d0b63dbb7f067a5f80c48d9a",
"outputBlockId": "4c3d50243d0017b2e3b9b9bee8f41cb511266a53fbe547caf6131a7d669c63e8",
"outputTransactionId": "1d3a91a2b5a48415f23a6a1e2bbe8a90296579489f5d4db5b152c8e4a9431b81",
"outputIndex": 1,
"outputGlobalIndex": 49605939,
"outputCreatedAt": 1596493,
"outputSettledAt": 1596494,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: CBigInt(1)\n2: 0\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-45,70,-111,-19,70,66,79,-101,47,105,17,-38,116,103,-70,-100,11,20,-30,-6,-2,-95,97,-74,-33,48,-21,-98,-95,45,80,-106)\n14: 0\n15: 0\n16: Coll(82,-105,-17,-22,-78,108,35,11,-127,-14,47,-51,-103,-125,101,80,-43,-69,-68,116,4,83,-51,-31,-112,-96,-80,-70,-108,103,-79,-94)\n17: 0\n18: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n19: 0\n20: 3\n21: 5000000\n22: 1000\n23: 2\n24: 2\n25: CBigInt(100)\n26: 3000000\n27: 1000000\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: Coll(88,-35,93,6,65,-14,63,98,78,-22,56,42,18,-8,15,29,8,67,-114,-76,-112,11,-75,-13,-80,-44,-83,96,32,-116,86,-50)\n35: 1000000\n36: 1000000\n37: 1\n38: 0\n39: 3\n40: 5000000\n41: 1000\n42: 2\n43: 2\n44: CBigInt(100)\n45: 2\n46: 0\n47: 0\n48: false\n49: 1\n50: 3\n51: 0\n52: 3\n53: 5000000\n54: 1000\n55: 2\n56: 2\n57: CBigInt(100)\n58: 3000000\n59: 1000000\n60: 0\n61: 100000000\n62: 5\n63: 100000000\n64: false\n65: 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.R6[(Long, Long)].get\n val l6 = tuple5._1\n val bi7 = placeholder[BigInt](1)\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](2))\n val l10 = tuple9._2\n val bi11 = l10.toBigInt\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val i14 = coll13.size\n val tuple15 = SELF.R5[(Int, Int)].get\n val i16 = tuple15._1\n val box17 = coll4(placeholder[Int](4))\n val coll18 = box17.R4[Coll[Long]].get\n val l19 = coll18.slice(tuple15._2, coll18.size).fold(placeholder[Long](5), {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](6) })\n val box20 = coll4(placeholder[Int](7))\n val coll21 = box20.R4[Coll[Long]].get\n val bi22 = if (i14 == i16) { l19 } else {(\n val i22 = i16 + placeholder[Int](8)\n val l23 = coll21.slice(placeholder[Int](9), coll21.size).fold(l19, {(tuple23: (Long, Long)) => tuple23._1 * tuple23._2 / placeholder[Long](10) })\n if (i14 == i22) { l23 } else { coll13.slice(i22, i14).fold(l23, {(tuple24: (Long, Long)) => tuple24._1 * tuple24._2 / placeholder[Long](11) }) }\n )}.toBigInt\n val l23 = placeholder[Long](12)\n val bi24 = bi7 + bi11 * bi22 / l23.toBigInt\n val coll25 = SELF.R4[Coll[Byte]].get\n val coll26 = SELF.R7[Coll[Byte]].get\n val tuple27 = SELF.R9[(Long, Long)].get\n val l28 = tuple27._1\n val l29 = tuple27._2\n val coll30 = placeholder[Coll[Byte]](13)\n val bool31 = box17.tokens(placeholder[Int](14))._1 == coll30\n val bool32 = box17.R6[Int].get == i16\n val bool33 = box12.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool34 = (box20.tokens(placeholder[Int](17))._1 == coll30) && (box20.R6[Int].get == i14)\n val l35 = SELF.value\n val coll36 = placeholder[Coll[Byte]](18)\n val coll37 = tuple9._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val box39 = coll4(placeholder[Int](20))\n val coll40 = box39.tokens\n val l41 = box38.value\n val bi42 = l41.toBigInt - placeholder[Int](21).toBigInt\n val bi43 = box39.R4[Int].get.toBigInt\n val bi44 = box39.value.toBigInt\n val i45 = placeholder[Int](22)\n val tuple46 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box38.propositionBytes == coll3) && (\n (\n coll40(placeholder[Int](23))._2.toBigInt * bi42 * bi43 / bi44 + bi44 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i45.toBigInt + bi42 * bi43 > bi24 * l6.toBigInt / i45.toBigInt\n ) && (l41 >= placeholder[Int](26).toLong + placeholder[Long](27))\n )\n ) && (box38.tokens(placeholder[Int](28)) == tuple9)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (\n box38.R7[Coll[Byte]].get == coll26\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple46._1 == l28)\n ) && (tuple46._2 == l29)\n )\n ) && bool31\n ) && bool32\n ) && bool33\n ) && (coll40(placeholder[Int](29))._1 == coll26)\n ) && bool34\n )\n )} else { if (INPUTS(placeholder[Int](30)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](31))\n val coll39 = box38.propositionBytes\n val l40 = box38.value\n val bool41 = l40 >= l35 - placeholder[Long](32)\n val box42 = OUTPUTS(placeholder[Int](33))\n val bool43 = blake2b256(box42.propositionBytes) == placeholder[Coll[Byte]](34)\n val bool44 = box42.value >= placeholder[Int](35).toLong + placeholder[Long](36)\n val coll45 = box42.tokens\n val tuple46 = coll45(placeholder[Int](37))\n val bool47 = tuple46._1 == coll36\n val l48 = tuple46._2\n val tuple49 = coll45(placeholder[Int](38))\n val bool50 = tuple49 == tuple9\n val coll51 = box1.tokens\n val coll52 = box38.tokens\n sigmaProp((((((((((((coll39 == coll25) && bool41) && bool43) && bool44) && (bool47 && (l48.toBigInt > bi24))) && bool50) && bool31) && bool32) && bool33) && bool34) || if (coll51.size >= placeholder[Int](39)) {(\n val bi53 = l35.toBigInt - placeholder[Int](40).toBigInt\n val bi54 = box1.R4[Int].get.toBigInt\n val bi55 = box1.value.toBigInt\n val i56 = placeholder[Int](41)\n val bi57 = coll51(placeholder[Int](42))._2.toBigInt * bi53 * bi54 / bi55 + bi55 * placeholder[Int](43).toBigInt / placeholder[BigInt](44) * i56.toBigInt + bi53 * bi54\n val bi58 = bi57 - bi24\n val bi59 = tuple5._2.toBigInt\n val bi60 = bi58 * i56.toBigInt - bi59 / i56.toBigInt\n ((((((((((((bi57 <= bi24 * l6.toBigInt / i56.toBigInt) && (HEIGHT.toLong >= l29)) || (HEIGHT.toLong > l28)) && bool43) && bool47) && bool44) && if (bi60 < bi7) { l48.toBigInt >= bi57 } else {(\n val box61 = OUTPUTS(placeholder[Int](45))\n val tuple62 = box61.tokens(placeholder[Int](46))\n (((l48.toBigInt >= bi24 + bi58 * bi59 / i56.toBigInt) && (tuple62._2.toBigInt >= bi60)) && (box61.propositionBytes == coll25)) && (tuple62._1 == coll36)\n )}) && bool50) && (coll51(placeholder[Int](47))._1 == coll26)) && bool31) && bool32) && bool33) && bool34\n )} else { placeholder[Boolean](48) }) || if ((coll52.size >= placeholder[Int](49)) && (box1.tokens.size < placeholder[Int](50))) {(\n val tuple53 = box38.R9[(Long, Long)].get\n val l54 = tuple53._2\n val bool55 = coll39 == coll3\n val tuple56 = coll52(placeholder[Int](51))\n val l57 = tuple56._2\n val bi58 = l57.toBigInt\n val bool59 = (((((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (box38.R7[Coll[Byte]].get == coll26)) && (box38.R8[GroupElement].get == ge2)) && (tuple53._1 == l28)\n val box60 = coll4(placeholder[Int](52))\n val coll61 = box60.tokens\n val bi62 = l40.toBigInt - placeholder[Int](53).toBigInt\n val bi63 = box60.R4[Int].get.toBigInt\n val bi64 = box60.value.toBigInt\n val i65 = placeholder[Int](54)\n val bool66 = (coll61(placeholder[Int](55))._2.toBigInt * bi62 * bi63 / bi64 + bi64 * placeholder[Int](56).toBigInt / placeholder[BigInt](57) * i65.toBigInt + bi62 * bi63 >= bi7 + bi58 * bi22 / l23.toBigInt * l6.toBigInt / i65.toBigInt) && (l40 >= placeholder[Int](58).toLong + placeholder[Long](59))\n val bool67 = coll61(placeholder[Int](60))._1 == coll26\n if (l54 == placeholder[Long](61)) { ((((((((((((((bool55 && (l40 >= l35)) && (tuple56._1 == coll37)) && (bi58 >= bi11 - l48.toBigInt * l23.toBigInt / bi22)) && bool59) && (l29 == l54)) && bool43) && bool44) && bool47) && ((tuple49._2 == l10 - l57) && (tuple49._1 == coll37))) && bool31) && bool32) && bool33) && bool34) && bool66) && bool67 } else { (((((((((((!bool66) && bool55) && bool41) && (coll52 == coll8)) && bool59) && ((l54 > HEIGHT.toLong) && (l54 < HEIGHT + placeholder[Int](62).toLong))) && (l29 == placeholder[Long](63))) && bool31) && bool32) && bool33) && bool67) && bool34 }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "82d818c4d35a4bfca7bc925ba5fa49bbdb859da4225f0f675e5c3fa40ea36ed2",
"index": 0,
"amount": 49000000000,
"name": "Borrow Token SPF-1f",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580c8e01",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[6,71]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "07030ad8e24d840f757d010bfbbc2e83b1c475cf2be3acccd2627439999cc6bdec67",
"sigmaType": "SGroupElement",
"renderedValue": "030ad8e24d840f757d010bfbbc2e83b1c475cf2be3acccd2627439999cc6bdec67"
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"serializedValue": "11c3018084af5ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15ff69fb15fcca4b15fcca4b15fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fecd6b55fd8a3b25f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f8edbb55f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018171,100018470,100018470,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100054454,100026604,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727,100054727]"
}
}
},
{
"boxId": "d29717453ce0426d589d2bc61130a9ea9a580891ba4f68aa5fcd7f111393f5f5",
"value": 1270000000,
"index": 1,
"outputBlockId": "97f678e0d7e45c7ca36aad3a6ca8a8808b5761e3ddd0f0253915b07a517c0e63",
"outputTransactionId": "e5657c2298ef3bb39e3e339f8ba5fc3945d3c305f60e9cfb7845d5dcfbcee62a",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "11068084af5f88d8ae6aa0d28a6094cc916094c8d85ff0e9ea60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,111531524,100750480,100807434,100340234,101538424]"
}
}
},
{
"boxId": "bf34ddc8797018c6e0f68838c427ca08c35827bab1b24179e9a85c9c6a0ec7a4",
"value": 49395658018766,
"index": 3,
"outputBlockId": "28f3c8301a2f8ec7c4d833cd12e2ddfa6cc237b44e37f6f777a5d657df8b2098",
"outputTransactionId": "1e4d3f0a70d4c096d82ee2d2ee709420b7c40d38ffd44cce437358c87f88120b",
"outputIndex": 0,
"ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "036d5a54f962bc5d983048041fe246357ede281904010456efef38cc74ab2ced",
"transactionId": "cc7b4a3c38b02a135465f9facd9b036a7d892916e988dd43a1d40c32e0f2be0d",
"blockId": "67eeb25d76db990b5332a42006151eaad5e4ebd64c422ece8158da033d42f6ed",
"value": 458000000000,
"index": 0,
"globalIndex": 50249121,
"creationHeight": 1612092,
"settlementHeight": 1612094,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: CBigInt(1)\n2: 0\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-45,70,-111,-19,70,66,79,-101,47,105,17,-38,116,103,-70,-100,11,20,-30,-6,-2,-95,97,-74,-33,48,-21,-98,-95,45,80,-106)\n14: 0\n15: 0\n16: Coll(82,-105,-17,-22,-78,108,35,11,-127,-14,47,-51,-103,-125,101,80,-43,-69,-68,116,4,83,-51,-31,-112,-96,-80,-70,-108,103,-79,-94)\n17: 0\n18: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n19: 0\n20: 3\n21: 5000000\n22: 1000\n23: 2\n24: 2\n25: CBigInt(100)\n26: 3000000\n27: 1000000\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: Coll(88,-35,93,6,65,-14,63,98,78,-22,56,42,18,-8,15,29,8,67,-114,-76,-112,11,-75,-13,-80,-44,-83,96,32,-116,86,-50)\n35: 1000000\n36: 1000000\n37: 1\n38: 0\n39: 3\n40: 5000000\n41: 1000\n42: 2\n43: 2\n44: CBigInt(100)\n45: 2\n46: 0\n47: 0\n48: false\n49: 1\n50: 3\n51: 0\n52: 3\n53: 5000000\n54: 1000\n55: 2\n56: 2\n57: CBigInt(100)\n58: 3000000\n59: 1000000\n60: 0\n61: 100000000\n62: 5\n63: 100000000\n64: false\n65: 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.R6[(Long, Long)].get\n val l6 = tuple5._1\n val bi7 = placeholder[BigInt](1)\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](2))\n val l10 = tuple9._2\n val bi11 = l10.toBigInt\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val i14 = coll13.size\n val tuple15 = SELF.R5[(Int, Int)].get\n val i16 = tuple15._1\n val box17 = coll4(placeholder[Int](4))\n val coll18 = box17.R4[Coll[Long]].get\n val l19 = coll18.slice(tuple15._2, coll18.size).fold(placeholder[Long](5), {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](6) })\n val box20 = coll4(placeholder[Int](7))\n val coll21 = box20.R4[Coll[Long]].get\n val bi22 = if (i14 == i16) { l19 } else {(\n val i22 = i16 + placeholder[Int](8)\n val l23 = coll21.slice(placeholder[Int](9), coll21.size).fold(l19, {(tuple23: (Long, Long)) => tuple23._1 * tuple23._2 / placeholder[Long](10) })\n if (i14 == i22) { l23 } else { coll13.slice(i22, i14).fold(l23, {(tuple24: (Long, Long)) => tuple24._1 * tuple24._2 / placeholder[Long](11) }) }\n )}.toBigInt\n val l23 = placeholder[Long](12)\n val bi24 = bi7 + bi11 * bi22 / l23.toBigInt\n val coll25 = SELF.R4[Coll[Byte]].get\n val coll26 = SELF.R7[Coll[Byte]].get\n val tuple27 = SELF.R9[(Long, Long)].get\n val l28 = tuple27._1\n val l29 = tuple27._2\n val coll30 = placeholder[Coll[Byte]](13)\n val bool31 = box17.tokens(placeholder[Int](14))._1 == coll30\n val bool32 = box17.R6[Int].get == i16\n val bool33 = box12.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool34 = (box20.tokens(placeholder[Int](17))._1 == coll30) && (box20.R6[Int].get == i14)\n val l35 = SELF.value\n val coll36 = placeholder[Coll[Byte]](18)\n val coll37 = tuple9._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val box39 = coll4(placeholder[Int](20))\n val coll40 = box39.tokens\n val l41 = box38.value\n val bi42 = l41.toBigInt - placeholder[Int](21).toBigInt\n val bi43 = box39.R4[Int].get.toBigInt\n val bi44 = box39.value.toBigInt\n val i45 = placeholder[Int](22)\n val tuple46 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box38.propositionBytes == coll3) && (\n (\n coll40(placeholder[Int](23))._2.toBigInt * bi42 * bi43 / bi44 + bi44 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i45.toBigInt + bi42 * bi43 > bi24 * l6.toBigInt / i45.toBigInt\n ) && (l41 >= placeholder[Int](26).toLong + placeholder[Long](27))\n )\n ) && (box38.tokens(placeholder[Int](28)) == tuple9)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (\n box38.R7[Coll[Byte]].get == coll26\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple46._1 == l28)\n ) && (tuple46._2 == l29)\n )\n ) && bool31\n ) && bool32\n ) && bool33\n ) && (coll40(placeholder[Int](29))._1 == coll26)\n ) && bool34\n )\n )} else { if (INPUTS(placeholder[Int](30)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](31))\n val coll39 = box38.propositionBytes\n val l40 = box38.value\n val bool41 = l40 >= l35 - placeholder[Long](32)\n val box42 = OUTPUTS(placeholder[Int](33))\n val bool43 = blake2b256(box42.propositionBytes) == placeholder[Coll[Byte]](34)\n val bool44 = box42.value >= placeholder[Int](35).toLong + placeholder[Long](36)\n val coll45 = box42.tokens\n val tuple46 = coll45(placeholder[Int](37))\n val bool47 = tuple46._1 == coll36\n val l48 = tuple46._2\n val tuple49 = coll45(placeholder[Int](38))\n val bool50 = tuple49 == tuple9\n val coll51 = box1.tokens\n val coll52 = box38.tokens\n sigmaProp((((((((((((coll39 == coll25) && bool41) && bool43) && bool44) && (bool47 && (l48.toBigInt > bi24))) && bool50) && bool31) && bool32) && bool33) && bool34) || if (coll51.size >= placeholder[Int](39)) {(\n val bi53 = l35.toBigInt - placeholder[Int](40).toBigInt\n val bi54 = box1.R4[Int].get.toBigInt\n val bi55 = box1.value.toBigInt\n val i56 = placeholder[Int](41)\n val bi57 = coll51(placeholder[Int](42))._2.toBigInt * bi53 * bi54 / bi55 + bi55 * placeholder[Int](43).toBigInt / placeholder[BigInt](44) * i56.toBigInt + bi53 * bi54\n val bi58 = bi57 - bi24\n val bi59 = tuple5._2.toBigInt\n val bi60 = bi58 * i56.toBigInt - bi59 / i56.toBigInt\n ((((((((((((bi57 <= bi24 * l6.toBigInt / i56.toBigInt) && (HEIGHT.toLong >= l29)) || (HEIGHT.toLong > l28)) && bool43) && bool47) && bool44) && if (bi60 < bi7) { l48.toBigInt >= bi57 } else {(\n val box61 = OUTPUTS(placeholder[Int](45))\n val tuple62 = box61.tokens(placeholder[Int](46))\n (((l48.toBigInt >= bi24 + bi58 * bi59 / i56.toBigInt) && (tuple62._2.toBigInt >= bi60)) && (box61.propositionBytes == coll25)) && (tuple62._1 == coll36)\n )}) && bool50) && (coll51(placeholder[Int](47))._1 == coll26)) && bool31) && bool32) && bool33) && bool34\n )} else { placeholder[Boolean](48) }) || if ((coll52.size >= placeholder[Int](49)) && (box1.tokens.size < placeholder[Int](50))) {(\n val tuple53 = box38.R9[(Long, Long)].get\n val l54 = tuple53._2\n val bool55 = coll39 == coll3\n val tuple56 = coll52(placeholder[Int](51))\n val l57 = tuple56._2\n val bi58 = l57.toBigInt\n val bool59 = (((((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (box38.R7[Coll[Byte]].get == coll26)) && (box38.R8[GroupElement].get == ge2)) && (tuple53._1 == l28)\n val box60 = coll4(placeholder[Int](52))\n val coll61 = box60.tokens\n val bi62 = l40.toBigInt - placeholder[Int](53).toBigInt\n val bi63 = box60.R4[Int].get.toBigInt\n val bi64 = box60.value.toBigInt\n val i65 = placeholder[Int](54)\n val bool66 = (coll61(placeholder[Int](55))._2.toBigInt * bi62 * bi63 / bi64 + bi64 * placeholder[Int](56).toBigInt / placeholder[BigInt](57) * i65.toBigInt + bi62 * bi63 >= bi7 + bi58 * bi22 / l23.toBigInt * l6.toBigInt / i65.toBigInt) && (l40 >= placeholder[Int](58).toLong + placeholder[Long](59))\n val bool67 = coll61(placeholder[Int](60))._1 == coll26\n if (l54 == placeholder[Long](61)) { ((((((((((((((bool55 && (l40 >= l35)) && (tuple56._1 == coll37)) && (bi58 >= bi11 - l48.toBigInt * l23.toBigInt / bi22)) && bool59) && (l29 == l54)) && bool43) && bool44) && bool47) && ((tuple49._2 == l10 - l57) && (tuple49._1 == coll37))) && bool31) && bool32) && bool33) && bool34) && bool66) && bool67 } else { (((((((((((!bool66) && bool55) && bool41) && (coll52 == coll8)) && bool59) && ((l54 > HEIGHT.toLong) && (l54 < HEIGHT + placeholder[Int](62).toLong))) && (l29 == placeholder[Long](63))) && bool31) && bool32) && bool33) && bool67) && bool34 }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
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"assets": [
{
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"index": 0,
"amount": 49000000000,
"name": "Borrow Token SPF-1f",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580c8e01",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[6,71]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
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"sigmaType": "SGroupElement",
"renderedValue": "030ad8e24d840f757d010bfbbc2e83b1c475cf2be3acccd2627439999cc6bdec67"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "f40afb6f877c40a30c8637dd5362227285738174151ce66d6684bc1b727ab6cf"
},
"R9": {
"serializedValue": "59d2f0ca018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1661993,100000000]"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd030ad8e24d840f757d010bfbbc2e83b1c475cf2be3acccd2627439999cc6bdec67"
}
},
"spentTransactionId": "2bafecf89dd31c014cb46b6476177bab1e00b6f861adedc28ef27329d7050da0",
"mainChain": true
},
{
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"transactionId": "cc7b4a3c38b02a135465f9facd9b036a7d892916e988dd43a1d40c32e0f2be0d",
"blockId": "67eeb25d76db990b5332a42006151eaad5e4ebd64c422ece8158da033d42f6ed",
"value": 96890982776,
"index": 1,
"globalIndex": 50249122,
"creationHeight": 1612092,
"settlementHeight": 1612094,
"ergoTree": "0008cd030ad8e24d840f757d010bfbbc2e83b1c475cf2be3acccd2627439999cc6bdec67",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ad8e24,f488f2,...)))}",
"address": "9gYamY6g18QRJro4PyWpyvSTxG3SbwQtvG7sQmpyGWp9Tj94HMe",
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"type": "EIP-004"
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{
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"type": "EIP-004"
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{
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"type": "EIP-004"
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{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
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"type": "EIP-004"
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{
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{
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