Transaction
ID: bf64d3831c...cb74
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
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: 719,311
Total coins transferred: 0.004 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000054 ERG
Raw Transaction Data
{
"id": "bf64d3831cac3dd401ae7141986ba468e095cf41ae367ab8d5178657ba5ccb74",
"blockId": "2a17a4e1a2052a6903791a7d4f13f64da81770efc0e8ed79dd66e8ac2c0b48e2",
"inclusionHeight": 1038287,
"timestamp": 1688291500132,
"index": 3,
"globalIndex": 5463713,
"numConfirmations": 719311,
"inputs": [
{
"boxId": "be2794d5586d283e5c73a036963aa8485313147e662e5f83325d399e33599423",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3f125083a155ece15d048e6eb2f542edf693c9664551aa143deb8acf6dd47ec3",
"outputTransactionId": "882cc4db16e018c5aafbd9fe33b43d1e3541508ee315b127335ca62bb8155ff9",
"outputIndex": 0,
"outputGlobalIndex": 30533311,
"outputCreatedAt": 1037599,
"outputSettledAt": 1037601,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 3\n3: 1000000\n4: 0\n5: 0\n6: 1\n7: 1\n8: 2\n9: 2\n10: 9000000000000000\n11: 9000000000000000\n12: Coll(59,125,65,53,126,62,-46,90,-13,5,-45,7,-34,-13,103,95,-19,65,-12,71,38,-105,-27,72,-122,33,30,-27,-68,75,-81,-62)\n13: CBigInt(1000000000000000)\n14: 0\n15: -1\n16: 1\n17: 1\n18: 1\n19: 0\n20: 3\n21: 2\n22: 0\n23: 3\n24: 0\n25: 0\n26: 2\n27: 1000\n28: 2\n29: 1\n30: -1\n31: 0\n32: Coll(72,-42,-69,70,81,2,-84,113,-105,113,-25,-84,-109,-79,125,115,-70,91,-99,-94,-8,-88,126,-104,54,-19,-98,13,-52,51,96,-61)\n33: 2000000\n34: 1000000\n35: 2\n36: CBigInt(100)\n37: 1\n38: 500000\n39: 0\n40: Coll(49,8,89,-87,-16,110,-27,-91,77,-120,-39,-85,99,-32,-79,-32,-85,64,-3,32,-22,-42,-32,117,14,-29,48,20,-24,90,-126,63)\n41: 0\n42: Coll(55,-68,4,-90,126,65,118,42,78,-55,-4,-56,4,122,17,35,28,-60,-43,59,54,-58,56,-85,-7,-88,-2,108,97,-86,-66,90)\n43: 0\n44: true\n45: 0\n46: 9000000000000010\n47: 9000000000000010\n48: 0\n49: 1\n50: 0\n51: 0\n52: 2000\n53: 160\n54: 200000\n55: 2000\n56: 200\n57: 2000\n58: 160\n59: 200000\n60: 2000\n61: 250\n62: 200000\n63: 200\n64: 2000\n65: 160\n66: 1\n67: 0\n68: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val i2 = coll1.size\n val box3 = OUTPUTS(placeholder[Int](0))\n val coll4 = box3.tokens\n val tuple5 = coll4(placeholder[Int](1))\n val l6 = tuple5._2\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](2))\n val l9 = tuple8._2\n val l10 = l6 - l9\n val bool11 = box3.propositionBytes == SELF.propositionBytes\n val i12 = placeholder[Int](3)\n val bool13 = box3.value >= i12.toLong\n val bool14 = coll4(placeholder[Int](4)) == coll7(placeholder[Int](5))\n val tuple15 = coll4(placeholder[Int](6))\n val tuple16 = coll7(placeholder[Int](7))\n val bool17 = tuple15 == tuple16\n val coll18 = tuple8._1\n val bool19 = tuple5._1 == coll18\n val tuple20 = coll4(placeholder[Int](8))\n val tuple21 = coll7(placeholder[Int](9))\n val coll22 = tuple21._1\n val bool23 = tuple20._1 == coll22\n val l24 = placeholder[Long](10) - tuple20._2\n val l25 = placeholder[Long](11) - tuple21._2\n val l26 = l24 - l25\n val coll27 = placeholder[Coll[Byte]](12)\n val bi28 = placeholder[BigInt](13)\n val bool29 = l10 > placeholder[Long](14)\n val l30 = if (bool29) { l10 } else { l10 * placeholder[Long](15) }\n if (i2 > placeholder[Int](16)) {(\n val box31 = OUTPUTS(placeholder[Int](17))\n val coll32 = box31.tokens\n val tuple33 = coll32(placeholder[Int](18))\n val l34 = tuple33._2\n val box35 = coll1(placeholder[Int](19))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](20))\n val bool38 = tuple37._1 == coll18\n val tuple39 = if (bool38) { coll36(placeholder[Int](21)) } else { tuple37 }\n val tuple40 = coll32(placeholder[Int](22))\n val coll41 = tuple40._1\n val box42 = coll1(placeholder[Int](23))\n val coll43 = coll36(placeholder[Int](24))._1\n val i44 = box42.R6[Coll[Coll[Byte]]].get.indexOf(coll43, placeholder[Int](25))\n val tuple45 = if (bool38) { tuple37 } else { coll36(placeholder[Int](26)) }\n val bi46 = tuple40._2.toBigInt\n val bi47 = box35.R4[Int].get.toBigInt\n val bi48 = tuple39._2.toBigInt\n val i49 = placeholder[Int](27)\n val l50 = box42.R4[Coll[Long]].get(i44)\n val tuple51 = box31.R5[(Int, Int)].get\n val box52 = coll1(placeholder[Int](28))\n val box53 = coll1(placeholder[Int](29))\n val i54 = box53.R4[Coll[Long]].get.size\n val l55 = box31.R9[Long].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool11 && (l10 * placeholder[Long](30) == l34)) && (l10 < placeholder[Long](31))) && bool13) && bool14\n ) && bool17\n ) && bool19\n ) && bool23\n ) && (l26 == l34)\n ) && (blake2b256(box31.propositionBytes) == placeholder[Coll[Byte]](32))\n ) && (box31.value >= placeholder[Int](33).toLong + placeholder[Long](34))\n ) && (\n ((tuple39._1 == coll41) && (coll41 == box42.R5[Coll[Coll[Byte]]].get(i44))) && (\n tuple45._2.toBigInt * bi46 * bi47 / bi48 + bi48 * placeholder[Int](35).toBigInt / placeholder[BigInt](\n 36\n ) * i49.toBigInt + bi46 * bi47 >= l34.toBigInt * l50.toBigInt / i49.toBigInt\n )\n )\n ) && (tuple33._1 == coll22)\n ) && (l34 >= box42.R9[Coll[Long]].get(i44))\n ) && box31.R4[Coll[Byte]].isDefined\n ) && (tuple51._2 == box52.R4[Coll[Long]].get.size - placeholder[Int](37))\n ) && (tuple51._1 == i54)\n ) && (box31.R6[(Long, Long)].get == (l50, box42.R7[Coll[Long]].get(i44)))\n ) && (box31.R7[Coll[Byte]].get == coll43)\n ) && (tuple45._1 == coll18)\n ) && box31.R8[GroupElement].isDefined\n ) && ((l55 > HEIGHT.toLong) && (l55 < HEIGHT + placeholder[Int](38).toLong))\n ) && ((box52.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40)) && (box52.R6[Int].get == i54))\n ) && (box53.tokens(placeholder[Int](41))._1 == placeholder[Coll[Byte]](42))\n ) && (box42.tokens(placeholder[Int](43))._1 == coll27)\n ) && placeholder[Boolean](44)\n )\n )} else {\n sigmaProp(\n (((((((bool11 && bool13) && bool14) && bool17) && bool23) && bool29) && bool19) && (l26 < placeholder[Long](45))) || (\n (\n (\n ((((bool11 && bool14) && (tuple15._1 == tuple16._1)) && bool13) && (tuple20 == tuple21)) && (\n bi28 * l6.toBigInt + l24.toBigInt / placeholder[Long](46) - tuple15._2.toBigInt > bi28 * l9.toBigInt + l25.toBigInt / placeholder[Long](\n 47\n ) - tuple16._2.toBigInt\n )\n ) && bool19\n ) && if (i2 > placeholder[Int](48)) {(\n val box31 = OUTPUTS(placeholder[Int](49))\n val box32 = coll1(placeholder[Int](50))\n val tuple33 = box31.tokens(placeholder[Int](51))\n (\n ((box31.propositionBytes == box32.R8[Coll[Byte]].get) && (box31.value >= i12.toLong)) && (\n (\n tuple33._2 >= max(\n if (l30 <= placeholder[Long](52)) { l30 / placeholder[Int](53).toLong } else {\n if (l30 <= placeholder[Long](54)) {\n l30 - placeholder[Long](55) / placeholder[Int](56).toLong + placeholder[Long](57) / placeholder[Int](58).toLong\n } else {\n l30 - placeholder[Long](59) - placeholder[Long](60) / placeholder[Int](61).toLong + placeholder[Long](62) / placeholder[Int](\n 63\n ).toLong + placeholder[Long](64) / placeholder[Int](65).toLong\n }\n }, placeholder[Long](66)\n )\n ) && (tuple33._1 == coll18)\n )\n ) && (box32.tokens(placeholder[Int](67))._1 == coll27)\n )} else { placeholder[Boolean](68) }\n )\n )\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "0719f308c243d4b8c6c15a8968e8a5f6bcc867aa918baf5508e087b3f55b6347",
"index": 0,
"amount": 1,
"name": "Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1bcf2c8f5f93a1643df4d01e1bc4cfa36e1fffbf604b852c87b976a77dae96c8",
"index": 1,
"amount": 8999999999999979,
"name": "Lender Tokens",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "26c8c9b2115fbfe36c303b87db7af0e8e97247c823ebc7ab6b8d2c17b22f5af6",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Tokens",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 3,
"amount": 34,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "7e73bcdd1d1670c3923356c7e04a8c2dd6bac803db6e2e9e0e7dad8f399109fd",
"value": 3000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f1019fe28d8ba465db4e1e511988fcf89cfc16a54888b20de9a0db603866e3d8",
"outputTransactionId": "114cf8add28849ee1f133706a9f74200266c63e086660a442581faab8df3473b",
"outputIndex": 0,
"outputGlobalIndex": 30558186,
"outputCreatedAt": 1038270,
"outputSettledAt": 1038272,
"ergoTree": "100e040604000580897a01000400040004000100010101010101040404000100d1d801d601e4c6a7040e958fb1a57300d803d602b2a5730100d603c67202040ed604db63087202ededededededed93c2720272019099c1a7c17202730295e6720393e47203c5a77303927ea305e4c6a706059594b17204730493b27204730500b2db6308a7730600730773087309730ad803d602b2a5730b00d603b2db63087202730c00d604c67202070eeded93c272027201ed928c720302e4c6a70505938c720301e4c6a7070e95e6720493e47204c5a7730d",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: false\n4: 0\n5: 0\n6: 0\n7: false\n8: true\n9: true\n10: true\n11: 2\n12: 0\n13: false",
"ergoTreeScript": "{sigmaProp(\n val coll1 = SELF.R4[Coll[Byte]].get\n if (OUTPUTS.size < placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n val opt3 = box2.R4[Coll[Byte]]\n val coll4 = box2.tokens\n (\n (\n (\n (\n (\n ((box2.propositionBytes == coll1) && (SELF.value - box2.value <= placeholder[Long](2))) && if (opt3.isDefined) { opt3.get == SELF.id } else {\n placeholder[Boolean](3)\n }\n ) && (HEIGHT.toLong >= SELF.R6[Long].get)\n ) && if (coll4.size != placeholder[Int](4)) { coll4(placeholder[Int](5)) == SELF.tokens(placeholder[Int](6)) } else { placeholder[Boolean](7) }\n ) && placeholder[Boolean](8)\n ) && placeholder[Boolean](9)\n ) && placeholder[Boolean](10)\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](11))\n val tuple3 = box2.tokens(placeholder[Int](12))\n val opt4 = box2.R7[Coll[Byte]]\n ((box2.propositionBytes == coll1) && ((tuple3._2 >= SELF.R5[Long].get) && (tuple3._1 == SELF.R7[Coll[Byte]].get))) && if (opt4.isDefined) {\n opt4.get == SELF.id\n } else { placeholder[Boolean](13) }\n )}\n)}",
"address": "3rEnDaoVvvfRygpGSe76qKfAi1AHLHH8xH28rWysgHDT1TwUEcY87z8NhN7TPjshdUXCXmSxfqH3U9VTH7PoSnfVp9J9CCKKUWWtb4SQbz4SetmN7qk2JNNrMoBUfaqY2YwyVJyvjx3hszibW8wJhc8eCECpCRGUTTmrjFRvQHUYRhP47DBAVWPVgkQeMDU46rw6jYBR2aooRtyjHZKsbc8WAoNjPpdmNYjv9JtJmrMNDnsX7rWqmWWsGuv953SipQsAsAZhxezGLHGEuPKKAFruJn1Pbus2N6qT3ZkP",
"assets": [
{
"tokenId": "1bcf2c8f5f93a1643df4d01e1bc4cfa36e1fffbf604b852c87b976a77dae96c8",
"index": 0,
"amount": 4,
"name": "Lender Tokens",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R5": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R6": {
"serializedValue": "05b8df7e",
"sigmaType": "SLong",
"renderedValue": "1038300"
},
"R7": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
}
}
}
],
"dataInputs": [
{
"boxId": "69eb5c482d957568b81a13a91498d7db2511ff11eaebfee2ddefe4aa85da2fc1",
"value": 2000000,
"index": 0,
"outputBlockId": "0f7422eeaced9fc8089f208016fdfa67a19befc86cbc37d3e69f0cbf9f115ffd",
"outputTransactionId": "2491f269feaef29a20910d251ac7a63b8eb6f26ab28f446767af8a543aab0fdd",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96049003ea027300d191a37301",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P15jmTY6Q56uxWPvBJbv9BJ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1a022003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf0420003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04,003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0]"
},
"R6": {
"serializedValue": "1a02209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec20080e453271ff4d2f85f97569b09755e67537bf2a1bc1cd09411b459cf901b902",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec,080e453271ff4d2f85f97569b09755e67537bf2a1bc1cd09411b459cf901b902]"
},
"R8": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R7": {
"serializedValue": "11020404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,2]"
},
"R4": {
"serializedValue": "11021a1a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13,13]"
}
}
}
],
"outputs": [
{
"boxId": "fb9e30a6d99b038c27bc6ad82479d803e247a67d8fda1347f3d11b39a7783a92",
"transactionId": "bf64d3831cac3dd401ae7141986ba468e095cf41ae367ab8d5178657ba5ccb74",
"blockId": "2a17a4e1a2052a6903791a7d4f13f64da81770efc0e8ed79dd66e8ac2c0b48e2",
"value": 1000000,
"index": 0,
"globalIndex": 30558435,
"creationHeight": 1038285,
"settlementHeight": 1038287,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 3\n3: 1000000\n4: 0\n5: 0\n6: 1\n7: 1\n8: 2\n9: 2\n10: 9000000000000000\n11: 9000000000000000\n12: Coll(59,125,65,53,126,62,-46,90,-13,5,-45,7,-34,-13,103,95,-19,65,-12,71,38,-105,-27,72,-122,33,30,-27,-68,75,-81,-62)\n13: CBigInt(1000000000000000)\n14: 0\n15: -1\n16: 1\n17: 1\n18: 1\n19: 0\n20: 3\n21: 2\n22: 0\n23: 3\n24: 0\n25: 0\n26: 2\n27: 1000\n28: 2\n29: 1\n30: -1\n31: 0\n32: Coll(72,-42,-69,70,81,2,-84,113,-105,113,-25,-84,-109,-79,125,115,-70,91,-99,-94,-8,-88,126,-104,54,-19,-98,13,-52,51,96,-61)\n33: 2000000\n34: 1000000\n35: 2\n36: CBigInt(100)\n37: 1\n38: 500000\n39: 0\n40: Coll(49,8,89,-87,-16,110,-27,-91,77,-120,-39,-85,99,-32,-79,-32,-85,64,-3,32,-22,-42,-32,117,14,-29,48,20,-24,90,-126,63)\n41: 0\n42: Coll(55,-68,4,-90,126,65,118,42,78,-55,-4,-56,4,122,17,35,28,-60,-43,59,54,-58,56,-85,-7,-88,-2,108,97,-86,-66,90)\n43: 0\n44: true\n45: 0\n46: 9000000000000010\n47: 9000000000000010\n48: 0\n49: 1\n50: 0\n51: 0\n52: 2000\n53: 160\n54: 200000\n55: 2000\n56: 200\n57: 2000\n58: 160\n59: 200000\n60: 2000\n61: 250\n62: 200000\n63: 200\n64: 2000\n65: 160\n66: 1\n67: 0\n68: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val i2 = coll1.size\n val box3 = OUTPUTS(placeholder[Int](0))\n val coll4 = box3.tokens\n val tuple5 = coll4(placeholder[Int](1))\n val l6 = tuple5._2\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](2))\n val l9 = tuple8._2\n val l10 = l6 - l9\n val bool11 = box3.propositionBytes == SELF.propositionBytes\n val i12 = placeholder[Int](3)\n val bool13 = box3.value >= i12.toLong\n val bool14 = coll4(placeholder[Int](4)) == coll7(placeholder[Int](5))\n val tuple15 = coll4(placeholder[Int](6))\n val tuple16 = coll7(placeholder[Int](7))\n val bool17 = tuple15 == tuple16\n val coll18 = tuple8._1\n val bool19 = tuple5._1 == coll18\n val tuple20 = coll4(placeholder[Int](8))\n val tuple21 = coll7(placeholder[Int](9))\n val coll22 = tuple21._1\n val bool23 = tuple20._1 == coll22\n val l24 = placeholder[Long](10) - tuple20._2\n val l25 = placeholder[Long](11) - tuple21._2\n val l26 = l24 - l25\n val coll27 = placeholder[Coll[Byte]](12)\n val bi28 = placeholder[BigInt](13)\n val bool29 = l10 > placeholder[Long](14)\n val l30 = if (bool29) { l10 } else { l10 * placeholder[Long](15) }\n if (i2 > placeholder[Int](16)) {(\n val box31 = OUTPUTS(placeholder[Int](17))\n val coll32 = box31.tokens\n val tuple33 = coll32(placeholder[Int](18))\n val l34 = tuple33._2\n val box35 = coll1(placeholder[Int](19))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](20))\n val bool38 = tuple37._1 == coll18\n val tuple39 = if (bool38) { coll36(placeholder[Int](21)) } else { tuple37 }\n val tuple40 = coll32(placeholder[Int](22))\n val coll41 = tuple40._1\n val box42 = coll1(placeholder[Int](23))\n val coll43 = coll36(placeholder[Int](24))._1\n val i44 = box42.R6[Coll[Coll[Byte]]].get.indexOf(coll43, placeholder[Int](25))\n val tuple45 = if (bool38) { tuple37 } else { coll36(placeholder[Int](26)) }\n val bi46 = tuple40._2.toBigInt\n val bi47 = box35.R4[Int].get.toBigInt\n val bi48 = tuple39._2.toBigInt\n val i49 = placeholder[Int](27)\n val l50 = box42.R4[Coll[Long]].get(i44)\n val tuple51 = box31.R5[(Int, Int)].get\n val box52 = coll1(placeholder[Int](28))\n val box53 = coll1(placeholder[Int](29))\n val i54 = box53.R4[Coll[Long]].get.size\n val l55 = box31.R9[Long].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool11 && (l10 * placeholder[Long](30) == l34)) && (l10 < placeholder[Long](31))) && bool13) && bool14\n ) && bool17\n ) && bool19\n ) && bool23\n ) && (l26 == l34)\n ) && (blake2b256(box31.propositionBytes) == placeholder[Coll[Byte]](32))\n ) && (box31.value >= placeholder[Int](33).toLong + placeholder[Long](34))\n ) && (\n ((tuple39._1 == coll41) && (coll41 == box42.R5[Coll[Coll[Byte]]].get(i44))) && (\n tuple45._2.toBigInt * bi46 * bi47 / bi48 + bi48 * placeholder[Int](35).toBigInt / placeholder[BigInt](\n 36\n ) * i49.toBigInt + bi46 * bi47 >= l34.toBigInt * l50.toBigInt / i49.toBigInt\n )\n )\n ) && (tuple33._1 == coll22)\n ) && (l34 >= box42.R9[Coll[Long]].get(i44))\n ) && box31.R4[Coll[Byte]].isDefined\n ) && (tuple51._2 == box52.R4[Coll[Long]].get.size - placeholder[Int](37))\n ) && (tuple51._1 == i54)\n ) && (box31.R6[(Long, Long)].get == (l50, box42.R7[Coll[Long]].get(i44)))\n ) && (box31.R7[Coll[Byte]].get == coll43)\n ) && (tuple45._1 == coll18)\n ) && box31.R8[GroupElement].isDefined\n ) && ((l55 > HEIGHT.toLong) && (l55 < HEIGHT + placeholder[Int](38).toLong))\n ) && ((box52.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40)) && (box52.R6[Int].get == i54))\n ) && (box53.tokens(placeholder[Int](41))._1 == placeholder[Coll[Byte]](42))\n ) && (box42.tokens(placeholder[Int](43))._1 == coll27)\n ) && placeholder[Boolean](44)\n )\n )} else {\n sigmaProp(\n (((((((bool11 && bool13) && bool14) && bool17) && bool23) && bool29) && bool19) && (l26 < placeholder[Long](45))) || (\n (\n (\n ((((bool11 && bool14) && (tuple15._1 == tuple16._1)) && bool13) && (tuple20 == tuple21)) && (\n bi28 * l6.toBigInt + l24.toBigInt / placeholder[Long](46) - tuple15._2.toBigInt > bi28 * l9.toBigInt + l25.toBigInt / placeholder[Long](\n 47\n ) - tuple16._2.toBigInt\n )\n ) && bool19\n ) && if (i2 > placeholder[Int](48)) {(\n val box31 = OUTPUTS(placeholder[Int](49))\n val box32 = coll1(placeholder[Int](50))\n val tuple33 = box31.tokens(placeholder[Int](51))\n (\n ((box31.propositionBytes == box32.R8[Coll[Byte]].get) && (box31.value >= i12.toLong)) && (\n (\n tuple33._2 >= max(\n if (l30 <= placeholder[Long](52)) { l30 / placeholder[Int](53).toLong } else {\n if (l30 <= placeholder[Long](54)) {\n l30 - placeholder[Long](55) / placeholder[Int](56).toLong + placeholder[Long](57) / placeholder[Int](58).toLong\n } else {\n l30 - placeholder[Long](59) - placeholder[Long](60) / placeholder[Int](61).toLong + placeholder[Long](62) / placeholder[Int](\n 63\n ).toLong + placeholder[Long](64) / placeholder[Int](65).toLong\n }\n }, placeholder[Long](66)\n )\n ) && (tuple33._1 == coll18)\n )\n ) && (box32.tokens(placeholder[Int](67))._1 == coll27)\n )} else { placeholder[Boolean](68) }\n )\n )\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "0719f308c243d4b8c6c15a8968e8a5f6bcc867aa918baf5508e087b3f55b6347",
"index": 0,
"amount": 1,
"name": "Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1bcf2c8f5f93a1643df4d01e1bc4cfa36e1fffbf604b852c87b976a77dae96c8",
"index": 1,
"amount": 8999999999999983,
"name": "Lender Tokens",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "26c8c9b2115fbfe36c303b87db7af0e8e97247c823ebc7ab6b8d2c17b22f5af6",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Tokens",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 3,
"amount": 31,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fe4768d7827c3b0f875b52a682108344109d0223433c7035c68123cf990e73bf",
"mainChain": true
},
{
"boxId": "e55c71493a411c70471689b78b911b6c02061388f5b31906585c087d4cacfc43",
"transactionId": "bf64d3831cac3dd401ae7141986ba468e095cf41ae367ab8d5178657ba5ccb74",
"blockId": "2a17a4e1a2052a6903791a7d4f13f64da81770efc0e8ed79dd66e8ac2c0b48e2",
"value": 1000000,
"index": 1,
"globalIndex": 30558436,
"creationHeight": 1038285,
"settlementHeight": 1038287,
"ergoTree": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))}",
"address": "9i9RhfdHQA2bHA8GqWKkYevp3nozASRjJfFkh29utjNL9gqE7Q7",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 1,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c6f23ef2f2597e419af9fd7d27c67a311c5b2319c90f9fead14df71cdbe49f39",
"mainChain": true
},
{
"boxId": "818c90a9fab8fc3e3949f7aec7c2c5f5216c9a4fb37cbfa0308d6bef9ab0c64f",
"transactionId": "bf64d3831cac3dd401ae7141986ba468e095cf41ae367ab8d5178657ba5ccb74",
"blockId": "2a17a4e1a2052a6903791a7d4f13f64da81770efc0e8ed79dd66e8ac2c0b48e2",
"value": 1000000,
"index": 2,
"globalIndex": 30558437,
"creationHeight": 1038285,
"settlementHeight": 1038287,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 2,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R5": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R6": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0e207e73bcdd1d1670c3923356c7e04a8c2dd6bac803db6e2e9e0e7dad8f399109fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "7e73bcdd1d1670c3923356c7e04a8c2dd6bac803db6e2e9e0e7dad8f399109fd"
}
},
"spentTransactionId": "c294def56356b358ffbc4e6f6b139921908cc4d260e97781b24ea0488b63ec64",
"mainChain": true
},
{
"boxId": "60a6d881cbd40c8b8b2e2283da584bf103221185f9012396081b7e70f3d713f4",
"transactionId": "bf64d3831cac3dd401ae7141986ba468e095cf41ae367ab8d5178657ba5ccb74",
"blockId": "2a17a4e1a2052a6903791a7d4f13f64da81770efc0e8ed79dd66e8ac2c0b48e2",
"value": 1000000,
"index": 3,
"globalIndex": 30558438,
"creationHeight": 1038285,
"settlementHeight": 1038287,
"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": "ef240413144d1382cd2c627bc31bcf30adec3c0edb1cb6ea4340d82eab149c6b",
"mainChain": true
}
],
"size": 1853,
"isUnconfirmed": false
}