Transaction
ID: fc463664f9...d1eb
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.28 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.288994576 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.32 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.247994576 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 469,193
Total coins transferred: 0.569994576 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000747 ERG
Raw Transaction Data
{
"id": "fc463664f98e0963536b2531fb85a28db7290c470dd67aa9cf8287571a76d1eb",
"blockId": "02953f5b1624fc5ce6b4e9cd830b0883c69494b0486eedcf681674a677bfdcde",
"inclusionHeight": 1288897,
"timestamp": 1718673593944,
"index": 31,
"globalIndex": 7367569,
"numConfirmations": 469193,
"inputs": [
{
"boxId": "f6005c4c94d5ba36be07a883f109f112c62e7ee105df5f53d7db6460448cf708",
"value": 280000000,
"index": 0,
"spendingProof": "546efad8697a588b1e7df0ff7d972fdef59191cd667f6ab90b00b32e89ff94c726af92e74b6a5bcd7794438d767ad424d2c2326a6dabbc71",
"outputBlockId": "d20baff19e0ec5f6cc8ddff8dffe25bf3535fff6720eb9986de83d6a2abf5591",
"outputTransactionId": "c35fdfa72d5266cb777fc2eefa5a5edffef4eb7de412dee728e09a427c695c65",
"outputIndex": 0,
"outputGlobalIndex": 40878692,
"outputCreatedAt": 1288572,
"outputSettledAt": 1288574,
"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(53,-8,38,73,127,-114,-83,-11,-76,111,118,-124,-123,-50,-63,117,-61,92,17,54,11,72,33,-22,-110,-69,-66,-123,87,119,-75,92)\n14: 0\n15: 0\n16: Coll(94,-12,-68,-98,7,95,-127,19,65,111,-11,68,-17,-20,-89,-45,-105,-68,3,-31,66,-89,-61,-127,111,-64,11,-60,-108,96,59,-123)\n17: 0\n18: Coll(-32,35,-59,-13,-126,-74,-23,111,-67,-121,-113,104,17,-86,-57,51,69,72,-112,50,21,122,-43,-81,-5,-124,-82,-3,73,86,-62,-105)\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(121,-110,23,55,-72,2,9,-70,-104,-79,-28,97,19,-112,60,-121,-52,-76,-4,-55,-99,42,80,-110,-21,-2,59,-10,-112,-49,-49,82)\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": "4EQTxw3MSn9fDbvzUN4qmbe6zFBp6MGrtmoeoVWU54Vv9hVr3kBhVd23e9tdtMLXb6spDwxGXqr1vubnRTpaZQW3xefiAmTYB78c7JFPZeUQ9zwxj6YejeJnWQC1GAGsJgn3BkiwFViu1bHDjtWD55sWKsV4t7Ny4Ejangwjjsm8ULLK4p26eZ6A1e2ytP5b8oAeA497MGG33PCuXyRwBLTddyEpTeLRXcbTf4jyawMqa6deCz2RfftDHAvGUE87MhJhridwmo7aDNTqnqFdvaR5hMDg1VQW3dPrGFovzUSmqqZBqQTiHLzFpToKMQNwieCWpWy53AmDFQ69sMJwztBV1gygZfQ9SsadL6WCNPBXrLguERxZGLEYSizNppLWmpWrocU7SKxLFF9xxLWe3EQ2NukMXUoj84afdGVje8ojNWaP6YMmgvCxQGFDDYAaRzPFtwWzGsRTELPTL7ugdNMunYWuFde6HXXDf147R39hpMGpeDEN29Y6Xe8UpXBT3nFKahWYhmfzhwK36rQQZLL4Zh4YPWp1iXsEttcrMkybs1LYf6nBi78nBBeVPTNn6uWN3gxRvkw4yUFqPzXqBiMvoWHyGy9Npg8azjyEgeAnSf7873zh6CAEFChdzXGoQ7yKpBHKYJTR7tB8r8Qq1qCEcEaHkxMAQS3q6muUR8g9AbnrYJn15rwtijks8smipmrS53kcCsXxEsfhm5eFeKGKBRuYxcKbx1cTDPuo2MkGYuZGmzM6hiMaw4pnt7T1W7TYPpf8qUSxaVWZLJMsYKhruMMU4uQkXa49eiyrKgV1CNQBGuVbZuqwHWD1jEZnbK4Aen9F8GJE6qHi7RBSzBFecSMmGhGYKzPJyVPVx9YPSoc6D2x61FPnzq164eBBif3GeoyX8oHDjFZ2FjzqESaM9P9NxjQSF5nqFGfMgateoFib6T17wSwwGkykoGxjyDGMeijmiqoVxJWNS92cDbRzbFZhxkKFNbHN7iUgWgDQTwLiN92j99NQ7cjWntdQjwKLQJGoxmrUbaHBhuKie6FDdiByhf8sTfUKWRH1jge76DCcyrL24Airbw1Se8wg8oYsKmpsJFrfmohzoRaQTu4UpHezBFHXmNoDauPoVBeVN5LpbyquBMSxSk6MJ3EPr3DjTx212GHKaXGUfQLpjGJSVgrAvHShLRExD2vb5xSDWNdryuT7WvCkqKq4ZYgUq8Sx7UVrAN9tTQZG2w17zhE1uRxN7sBibM5txDNbVuuNRU6Pvnk1v82MMAo9823dh9uTWKapPPYoFSxrcDdAyQyhRAbvP3oJV4LwC3bdc4REoEzWN9yg1XUDeUDDef5oVkmwHaypu7poPezUJmvLuyVC6sfZsUFfchQdYEuzewEmBENhJbMeetNXwUFbAFp5fg85WzoqsvRsWA7ez1y2MxVQxk5DSQRk9pPQ3WStYxcxhZtWQYLP59GDL6djwufWfL8zup8aM9tS6oj6UPB9Jisz6EXypmjwmm9WCAf3VYUN3WwbjeKDkoDRvhgMx58kedfTYr8uPe8Gy8c4kcLGUhxA8AZ5qzfvpcPwMikVFvVGGkKxSrmzVyZ7RrTkoy2QW3p8T2HLUBqnd3JEvXfm6sG4RAoqmu4JZGefieTNebWYCj7qW1BNvkHjQcuaJzn1LLFWER5dM6Te3QknaDcJeoQaU6gZnePV5keD7mRQzemo8rKUTHuPj3sZMq99D3Pho82ykmAAHGxaPhN1tBEXXmDQ8aZUPgTNB6XG891oBeBAs5KRtCGqPHcx62QsHjgB4EVVLVEnNfYxKZPqKJKobKPk4JK6mARVUXT2D1MzLepZPA9v3mAsPYxwwkh1o59iNVgVPHTJheKNaWDrFqZVkJCNjWVCs8hGwyH6FLfj1uSP8n8BmfQbL4e8Wfw5RtBwytHGJCuejnTZXPZ3dTA29LCmSNajXnXg544CRQS8Ggpg5G4UV5rCWhCmtdSnCuqsj9sicZZB9YAFhBTgWndby4cXBV7manFJgmXtAGBJSKzPKp2R1kC4YGHP5aPbBHJoo14kaX1hYX2HPjWEVZv29iqDeXzyJ1JFyJ8RDhpbqP3cPDDa4LewavDToQFYRcEBmC2svFndB8Ln3TY43cv3c4axoqJ9rcBi4E5a6fmYkpcEhrazL8Lpx5W1G7G77rBcE2NEnF8HYr473kymTUmQefqPu33XW2HESwJ5krJJ2qXq9THyubwSyDtV47SXxZofBnRn1XY6UDySjJqGofafjMZaqfYdAaw4xPosGdFVAk44RktMYTtLS5VZHndsBSN3ZTEwFZ4Mo3xBCtws9Q5dkidWqMmUXvmmNeysuag9fjFE9QD1nPNyuz8Vxnp1Kdgrd7rnUuDX1VJfY2Xt1eW7U81xQY7EJ7LeASwCZL27bX7f5KUTbeppAckGfYMsL1bhDCbGjRCjfEzfhvdyHhiFFgqzwU6AwXS753",
"assets": [
{
"tokenId": "b948c4aac0cc282da2c7ad8d66b90461da76b1d5747d2d9aa01fe6a73f889b3b",
"index": 0,
"amount": 500000,
"name": "Borrow Token rsADA-1f",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5804da06",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[2,429]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0703b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865",
"sigmaType": "SGroupElement",
"renderedValue": "03b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865"
},
"R7": {
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"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": "11028084af5f8eca8c61",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,101814919]"
}
}
},
{
"boxId": "f70b115910e520d47bdc0589598ea6fbfcf281cbd4ebc9b59e390d5c4635edef",
"value": 33884980209644,
"index": 3,
"outputBlockId": "9ef47067054be48e901c584d9f0347e166e76f5bdf606b7f8bf4d7c4da20ab04",
"outputTransactionId": "38bf380287e5d116f665d22a885ae1866c5fa91f5c62af0790e7b3dd1cea8e43",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "474d9dd239c35943cfe253c6d9ee7be5199b6bdd76c2aca94ea2f6a671f4506b",
"transactionId": "fc463664f98e0963536b2531fb85a28db7290c470dd67aa9cf8287571a76d1eb",
"blockId": "02953f5b1624fc5ce6b4e9cd830b0883c69494b0486eedcf681674a677bfdcde",
"value": 320000000,
"index": 0,
"globalIndex": 40889603,
"creationHeight": 1288893,
"settlementHeight": 1288897,
"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(53,-8,38,73,127,-114,-83,-11,-76,111,118,-124,-123,-50,-63,117,-61,92,17,54,11,72,33,-22,-110,-69,-66,-123,87,119,-75,92)\n14: 0\n15: 0\n16: Coll(94,-12,-68,-98,7,95,-127,19,65,111,-11,68,-17,-20,-89,-45,-105,-68,3,-31,66,-89,-61,-127,111,-64,11,-60,-108,96,59,-123)\n17: 0\n18: Coll(-32,35,-59,-13,-126,-74,-23,111,-67,-121,-113,104,17,-86,-57,51,69,72,-112,50,21,122,-43,-81,-5,-124,-82,-3,73,86,-62,-105)\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(121,-110,23,55,-72,2,9,-70,-104,-79,-28,97,19,-112,60,-121,-52,-76,-4,-55,-99,42,80,-110,-21,-2,59,-10,-112,-49,-49,82)\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": "4EQTxw3MSn9fDbvzUN4qmbe6zFBp6MGrtmoeoVWU54Vv9hVr3kBhVd23e9tdtMLXb6spDwxGXqr1vubnRTpaZQW3xefiAmTYB78c7JFPZeUQ9zwxj6YejeJnWQC1GAGsJgn3BkiwFViu1bHDjtWD55sWKsV4t7Ny4Ejangwjjsm8ULLK4p26eZ6A1e2ytP5b8oAeA497MGG33PCuXyRwBLTddyEpTeLRXcbTf4jyawMqa6deCz2RfftDHAvGUE87MhJhridwmo7aDNTqnqFdvaR5hMDg1VQW3dPrGFovzUSmqqZBqQTiHLzFpToKMQNwieCWpWy53AmDFQ69sMJwztBV1gygZfQ9SsadL6WCNPBXrLguERxZGLEYSizNppLWmpWrocU7SKxLFF9xxLWe3EQ2NukMXUoj84afdGVje8ojNWaP6YMmgvCxQGFDDYAaRzPFtwWzGsRTELPTL7ugdNMunYWuFde6HXXDf147R39hpMGpeDEN29Y6Xe8UpXBT3nFKahWYhmfzhwK36rQQZLL4Zh4YPWp1iXsEttcrMkybs1LYf6nBi78nBBeVPTNn6uWN3gxRvkw4yUFqPzXqBiMvoWHyGy9Npg8azjyEgeAnSf7873zh6CAEFChdzXGoQ7yKpBHKYJTR7tB8r8Qq1qCEcEaHkxMAQS3q6muUR8g9AbnrYJn15rwtijks8smipmrS53kcCsXxEsfhm5eFeKGKBRuYxcKbx1cTDPuo2MkGYuZGmzM6hiMaw4pnt7T1W7TYPpf8qUSxaVWZLJMsYKhruMMU4uQkXa49eiyrKgV1CNQBGuVbZuqwHWD1jEZnbK4Aen9F8GJE6qHi7RBSzBFecSMmGhGYKzPJyVPVx9YPSoc6D2x61FPnzq164eBBif3GeoyX8oHDjFZ2FjzqESaM9P9NxjQSF5nqFGfMgateoFib6T17wSwwGkykoGxjyDGMeijmiqoVxJWNS92cDbRzbFZhxkKFNbHN7iUgWgDQTwLiN92j99NQ7cjWntdQjwKLQJGoxmrUbaHBhuKie6FDdiByhf8sTfUKWRH1jge76DCcyrL24Airbw1Se8wg8oYsKmpsJFrfmohzoRaQTu4UpHezBFHXmNoDauPoVBeVN5LpbyquBMSxSk6MJ3EPr3DjTx212GHKaXGUfQLpjGJSVgrAvHShLRExD2vb5xSDWNdryuT7WvCkqKq4ZYgUq8Sx7UVrAN9tTQZG2w17zhE1uRxN7sBibM5txDNbVuuNRU6Pvnk1v82MMAo9823dh9uTWKapPPYoFSxrcDdAyQyhRAbvP3oJV4LwC3bdc4REoEzWN9yg1XUDeUDDef5oVkmwHaypu7poPezUJmvLuyVC6sfZsUFfchQdYEuzewEmBENhJbMeetNXwUFbAFp5fg85WzoqsvRsWA7ez1y2MxVQxk5DSQRk9pPQ3WStYxcxhZtWQYLP59GDL6djwufWfL8zup8aM9tS6oj6UPB9Jisz6EXypmjwmm9WCAf3VYUN3WwbjeKDkoDRvhgMx58kedfTYr8uPe8Gy8c4kcLGUhxA8AZ5qzfvpcPwMikVFvVGGkKxSrmzVyZ7RrTkoy2QW3p8T2HLUBqnd3JEvXfm6sG4RAoqmu4JZGefieTNebWYCj7qW1BNvkHjQcuaJzn1LLFWER5dM6Te3QknaDcJeoQaU6gZnePV5keD7mRQzemo8rKUTHuPj3sZMq99D3Pho82ykmAAHGxaPhN1tBEXXmDQ8aZUPgTNB6XG891oBeBAs5KRtCGqPHcx62QsHjgB4EVVLVEnNfYxKZPqKJKobKPk4JK6mARVUXT2D1MzLepZPA9v3mAsPYxwwkh1o59iNVgVPHTJheKNaWDrFqZVkJCNjWVCs8hGwyH6FLfj1uSP8n8BmfQbL4e8Wfw5RtBwytHGJCuejnTZXPZ3dTA29LCmSNajXnXg544CRQS8Ggpg5G4UV5rCWhCmtdSnCuqsj9sicZZB9YAFhBTgWndby4cXBV7manFJgmXtAGBJSKzPKp2R1kC4YGHP5aPbBHJoo14kaX1hYX2HPjWEVZv29iqDeXzyJ1JFyJ8RDhpbqP3cPDDa4LewavDToQFYRcEBmC2svFndB8Ln3TY43cv3c4axoqJ9rcBi4E5a6fmYkpcEhrazL8Lpx5W1G7G77rBcE2NEnF8HYr473kymTUmQefqPu33XW2HESwJ5krJJ2qXq9THyubwSyDtV47SXxZofBnRn1XY6UDySjJqGofafjMZaqfYdAaw4xPosGdFVAk44RktMYTtLS5VZHndsBSN3ZTEwFZ4Mo3xBCtws9Q5dkidWqMmUXvmmNeysuag9fjFE9QD1nPNyuz8Vxnp1Kdgrd7rnUuDX1VJfY2Xt1eW7U81xQY7EJ7LeASwCZL27bX7f5KUTbeppAckGfYMsL1bhDCbGjRCjfEzfhvdyHhiFFgqzwU6AwXS753",
"assets": [
{
"tokenId": "b948c4aac0cc282da2c7ad8d66b90461da76b1d5747d2d9aa01fe6a73f889b3b",
"index": 0,
"amount": 500000,
"name": "Borrow Token rsADA-1f",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5804da06",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[2,429]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0703b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865",
"sigmaType": "SGroupElement",
"renderedValue": "03b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865"
},
"R7": {
"serializedValue": "0e20ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b"
},
"R9": {
"serializedValue": "59eca4a5018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1354038,100000000]"
},
"R4": {
"serializedValue": "0e240008cd03b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865"
}
},
"spentTransactionId": "b6f3d7ee99afe264eb362afd27b396594ba5c0b3066e07738e184428f70d345b",
"mainChain": true
},
{
"boxId": "d580ecf2301c04d4dc783302f71b56fd9119b95ae1bf4e7b8a2c3a4433e1f937",
"transactionId": "fc463664f98e0963536b2531fb85a28db7290c470dd67aa9cf8287571a76d1eb",
"blockId": "02953f5b1624fc5ce6b4e9cd830b0883c69494b0486eedcf681674a677bfdcde",
"value": 247994576,
"index": 1,
"globalIndex": 40889604,
"creationHeight": 1288893,
"settlementHeight": 1288897,
"ergoTree": "0008cd03b4cd9192bc073e8ce0d54e69d408024ff80bf6dc865cda6d46f4c87e9716a865",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b4cd91,73915b,...)))}",
"address": "9hqS4X3keu6fS5z1wnbAkdzTzkSdYVcPp4M3aDnRmaA2Sid7XwZ",
"assets": [
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 0,
"amount": 500000,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 1,
"amount": 1623,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 99599190,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "af1a2e8005f6ffc9e291e121d1fb08795c5a079409b8ca56e20eb2f4f6f8553b",
"index": 3,
"amount": 4200000000,
"name": "🐶",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "07448d4e6e120fe42ecee89de160a7e8df493b43aaaf013a4e2a9ec923e88be7",
"mainChain": true
},
{
"boxId": "3cfd727c9839bf14ca819a0434565b72f9d8823fa621e58663edbbc6f5329c3b",
"transactionId": "fc463664f98e0963536b2531fb85a28db7290c470dd67aa9cf8287571a76d1eb",
"blockId": "02953f5b1624fc5ce6b4e9cd830b0883c69494b0486eedcf681674a677bfdcde",
"value": 2000000,
"index": 2,
"globalIndex": 40889605,
"creationHeight": 1288893,
"settlementHeight": 1288897,
"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": "5d162d837d8b855ebccc60e33a862c991b8a617bd0c447a9d18fe2f89d41e36a",
"mainChain": true
}
],
"size": 2677,
"isUnconfirmed": false
}