Transaction
ID: 60680fe2aa...4d1a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
46,754.28 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.006 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
46,619.28 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
135 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00100012 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00099988 ERG
Transaction Details
Confirmations: 227,647
Total coins transferred: 46,754.28 ERG
Fees: 0.00100012 ERG
Fees per byte: 0.000000265 ERG
Raw Transaction Data
{
"id": "60680fe2aa4bb6dff1c2ea09b8d666b63221b77f82ab767973c7397eec214d1a",
"blockId": "774e08e3466f498d00aef44a8869c4c313ed5015e1dc216506b44d548b9ffbea",
"inclusionHeight": 1530043,
"timestamp": 1747863221856,
"index": 3,
"globalIndex": 8992333,
"numConfirmations": 227647,
"inputs": [
{
"boxId": "7a75b1ed771e51f16706d687c70ed773ebc7c597f2b607f7c45ed31be11340ef",
"value": 46754275492689,
"index": 0,
"spendingProof": null,
"outputBlockId": "d3c47676036de04b9cd3289aceb0ce3a0dc30974c7cbb9369b0eaf9514654d54",
"outputTransactionId": "0679d5424749141f251aba07eac048fa73baf99740b80b6f284b4fb7cb45de76",
"outputIndex": 0,
"outputGlobalIndex": 47987570,
"outputCreatedAt": 1530016,
"outputSettledAt": 1530018,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1000000\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 9000000000000000\n9: 9000000000000000\n10: Coll(-57,91,-15,10,-70,64,-108,-16,-52,-89,78,63,-13,-50,-32,-48,22,-62,101,30,-107,84,-55,90,-85,-66,-40,68,-8,72,-1,-28)\n11: CBigInt(1000000000000000)\n12: 0\n13: -1\n14: 1\n15: 1\n16: 1\n17: 0\n18: 2\n19: 0\n20: 3\n21: 0\n22: 0\n23: 1000\n24: 2\n25: 1\n26: -1\n27: 0\n28: Coll(28,-20,-72,40,112,-112,97,78,-64,-3,96,9,-2,42,-27,37,38,102,-117,5,2,-62,-45,19,-1,-79,18,-86,-86,-118,109,56)\n29: 3000000\n30: 2\n31: CBigInt(100)\n32: 4000000\n33: 50000000\n34: 1\n35: 500000\n36: 100000000\n37: 0\n38: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n39: 0\n40: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n41: 0\n42: 0\n43: 9000000001000000\n44: 9000000001000000\n45: 0\n46: 1\n47: 0\n48: 20000000000\n49: 160\n50: 200000000000\n51: 20000000000\n52: 200\n53: 20000000000\n54: 160\n55: 200000000000\n56: 20000000000\n57: 250\n58: 200000000000\n59: 200\n60: 20000000000\n61: 160\n62: 0\n63: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val i2 = coll1.size\n val box3 = OUTPUTS(placeholder[Int](0))\n val l4 = box3.value\n val l5 = SELF.value\n val l6 = l4 - l5\n val bool7 = box3.propositionBytes == SELF.propositionBytes\n val i8 = placeholder[Int](1)\n val bool9 = l4 >= i8.toLong\n val coll10 = box3.tokens\n val coll11 = SELF.tokens\n val bool12 = coll10(placeholder[Int](2)) == coll11(placeholder[Int](3))\n val tuple13 = coll10(placeholder[Int](4))\n val tuple14 = coll11(placeholder[Int](5))\n val bool15 = tuple13 == tuple14\n val tuple16 = coll10(placeholder[Int](6))\n val tuple17 = coll11(placeholder[Int](7))\n val coll18 = tuple17._1\n val bool19 = tuple16._1 == coll18\n val l20 = placeholder[Long](8) - tuple16._2\n val l21 = placeholder[Long](9) - tuple17._2\n val l22 = l20 - l21\n val coll23 = placeholder[Coll[Byte]](10)\n val bi24 = placeholder[BigInt](11)\n val bool25 = l6 > placeholder[Long](12)\n val l26 = if (bool25) { l6 } else { l6 * placeholder[Long](13) }\n if (i2 > placeholder[Int](14)) {(\n val box27 = OUTPUTS(placeholder[Int](15))\n val coll28 = box27.tokens\n val tuple29 = coll28(placeholder[Int](16))\n val l30 = tuple29._2\n val box31 = coll1(placeholder[Int](17))\n val coll32 = box31.tokens\n val tuple33 = coll32(placeholder[Int](18))\n val tuple34 = coll28(placeholder[Int](19))\n val coll35 = tuple34._1\n val box36 = coll1(placeholder[Int](20))\n val coll37 = coll32(placeholder[Int](21))._1\n val i38 = box36.R6[Coll[Coll[Byte]]].get.indexOf(coll37, placeholder[Int](22))\n val bi39 = tuple34._2.toBigInt\n val bi40 = box31.R4[Int].get.toBigInt\n val bi41 = tuple33._2.toBigInt\n val i42 = placeholder[Int](23)\n val l43 = box36.R4[Coll[Long]].get(i38)\n val tuple44 = box27.R5[(Int, Int)].get\n val box45 = coll1(placeholder[Int](24))\n val box46 = coll1(placeholder[Int](25))\n val i47 = box46.R4[Coll[Long]].get.size\n val tuple48 = box27.R9[(Long, Long)].get\n val l49 = tuple48._1\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool7 && (l6 * placeholder[Long](26) == l30)) && (l6 < placeholder[Long](27))) && bool9) && bool12) && bool15\n ) && bool19\n ) && (l22 == l30)\n ) && (blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](28))\n ) && (box27.value >= i8.toLong + placeholder[Long](29))\n ) && (\n ((tuple33._1 == coll35) && (coll35 == box36.R5[Coll[Coll[Byte]]].get(i38))) && (\n box31.value.toBigInt * bi39 * bi40 / bi41 + bi41 * placeholder[Int](30).toBigInt / placeholder[BigInt](\n 31\n ) * i42.toBigInt + bi39 * bi40 - placeholder[Int](32).toBigInt >= l30.toBigInt * l43.toBigInt / i42.toBigInt\n )\n )\n ) && (tuple29._1 == coll18)\n ) && (l30 >= placeholder[Long](33))\n ) && box27.R4[Coll[Byte]].isDefined\n ) && (tuple44._2 == box45.R4[Coll[Long]].get.size - placeholder[Int](34))\n ) && (tuple44._1 == i47)\n ) && (box27.R6[(Long, Long)].get == (l43, box36.R7[Coll[Long]].get(i38)))\n ) && (box27.R7[Coll[Byte]].get == coll37)\n ) && box27.R8[GroupElement].isDefined\n ) && ((l49 > HEIGHT.toLong) && (l49 < HEIGHT + placeholder[Int](35).toLong))\n ) && (tuple48._2 == placeholder[Long](36))\n ) && ((box45.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38)) && (box45.R6[Int].get == i47))\n ) && (box46.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n ) && (box36.tokens(placeholder[Int](41))._1 == coll23)\n )\n )} else {\n sigmaProp(\n (((((bool7 && bool12) && bool15) && bool19) && bool25) && (l22 < placeholder[Long](42))) || (\n (\n ((((bool7 && bool12) && (tuple13._1 == tuple14._1)) && bool9) && (tuple16 == tuple17)) && (\n bi24 * l4.toBigInt + l20.toBigInt / placeholder[Long](43) - tuple13._2.toBigInt > bi24 * l5.toBigInt + l21.toBigInt / placeholder[Long](\n 44\n ) - tuple14._2.toBigInt\n )\n ) && if (i2 > placeholder[Int](45)) {(\n val box27 = OUTPUTS(placeholder[Int](46))\n val box28 = coll1(placeholder[Int](47))\n (\n (box27.propositionBytes == box28.R8[Coll[Byte]].get) && (\n box27.value >= max(\n if (l26 <= placeholder[Long](48)) { l26 / placeholder[Int](49).toLong } else {\n if (l26 <= placeholder[Long](50)) {\n l26 - placeholder[Long](51) / placeholder[Int](52).toLong + placeholder[Long](53) / placeholder[Int](54).toLong\n } else {\n l26 - placeholder[Long](55) - placeholder[Long](56) / placeholder[Int](57).toLong + placeholder[Long](58) / placeholder[Int](\n 59\n ).toLong + placeholder[Long](60) / placeholder[Int](61).toLong\n }\n }, i8.toLong\n )\n )\n ) && (box28.tokens(placeholder[Int](62))._1 == coll23)\n )} else { placeholder[Boolean](63) }\n )\n )\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "90290924d95d699f5852d54dd5c20d01a3c729b11e7ccb5444671f62bec3b4bc",
"index": 0,
"amount": 1,
"name": "Pool NFT ERG-0e",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc888e0eed50a4042324793a7894134d83c7aaf5c99f4bf643e7e2b4e71e0095",
"index": 1,
"amount": 8975892362921083,
"name": "Lend Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d90d4000ed4b826856b93fc3d1e2c10ecb8a08dc0172fe72f58c43d28e681b49",
"index": 2,
"amount": 8996893575893583,
"name": "Borrow Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "85457eaf2db457954321e2b2c33e3254d8636502c5ac6a3d67c1535974f04311",
"value": 6000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "cd15a53533e9731b49c0b8b723fcb1f642e709b3b28452da71a181479d255cd4",
"outputTransactionId": "b991564e831c3440d3f5ee7dea8501005655db5d32a9c8869490dab2504ac3db",
"outputIndex": 0,
"outputGlobalIndex": 47987951,
"outputCreatedAt": 1530039,
"outputSettledAt": 1530041,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 0\n4: 0\n5: 0\n6: false\n7: 1\n8: 2\n9: 1\n10: Coll(28,-20,-72,40,112,-112,97,78,-64,-3,96,9,-2,42,-27,37,38,102,-117,5,2,-62,-45,19,-1,-79,18,-86,-86,-118,109,56)\n11: 0\n12: 0\n13: Coll(-39,13,64,0,-19,75,-126,104,86,-71,63,-61,-47,-30,-63,14,-53,-118,8,-36,1,114,-2,114,-11,-116,67,-46,-114,104,27,73)\n14: 65480\n15: 65520\n16: 0\n17: 0\n18: Coll(-112,41,9,36,-39,93,105,-97,88,82,-43,77,-43,-62,13,1,-93,-57,41,-79,30,124,-53,84,68,103,31,98,-66,-61,-76,-68)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val ge2 = SELF.R9[GroupElement].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = box3.tokens\n ((((box3.propositionBytes == coll1) && (SELF.value - box3.value <= placeholder[Long](2))) && (box3.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)) && if (coll4.size != placeholder[Int](3)) { coll4(placeholder[Int](4)) == SELF.tokens(placeholder[Int](5)) } else { placeholder[Boolean](6) }\n )} else {(\n val box3 = OUTPUTS(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val coll5 = box3.tokens\n val tuple6 = coll5(placeholder[Int](9))\n val l7 = box4.value\n val l8 = box3.R9[(Long, Long)].get._1\n (((((((((((blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](10)) && (box4.propositionBytes == coll1)) && (coll5(placeholder[Int](11)) == SELF.tokens(placeholder[Int](12)))) && ((tuple6._2 == l7) && (tuple6._1 == placeholder[Coll[Byte]](13)))) && (box3.R4[Coll[Byte]].get == coll1)) && (SELF.R7[(Long, Long)].get == box3.R6[(Long, Long)].get)) && (SELF.R8[Coll[Byte]].get == box3.R7[Coll[Byte]].get)) && (ge2 == box3.R8[GroupElement].get)) && ((l8 > HEIGHT + placeholder[Int](14).toLong) && (l8 <= HEIGHT + placeholder[Int](15).toLong))) && (INPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))) && (l7 == SELF.R5[Long].get)) && (box4.R4[Coll[Byte]].get == SELF.id)\n )}) || proveDlog(ge2)\n}",
"address": "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",
"assets": [
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 0,
"amount": 616767,
"name": "SigRSV",
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],
"outputs": [
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"settlementHeight": 1530043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1000000\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 9000000000000000\n9: 9000000000000000\n10: Coll(-57,91,-15,10,-70,64,-108,-16,-52,-89,78,63,-13,-50,-32,-48,22,-62,101,30,-107,84,-55,90,-85,-66,-40,68,-8,72,-1,-28)\n11: CBigInt(1000000000000000)\n12: 0\n13: -1\n14: 1\n15: 1\n16: 1\n17: 0\n18: 2\n19: 0\n20: 3\n21: 0\n22: 0\n23: 1000\n24: 2\n25: 1\n26: -1\n27: 0\n28: Coll(28,-20,-72,40,112,-112,97,78,-64,-3,96,9,-2,42,-27,37,38,102,-117,5,2,-62,-45,19,-1,-79,18,-86,-86,-118,109,56)\n29: 3000000\n30: 2\n31: CBigInt(100)\n32: 4000000\n33: 50000000\n34: 1\n35: 500000\n36: 100000000\n37: 0\n38: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n39: 0\n40: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n41: 0\n42: 0\n43: 9000000001000000\n44: 9000000001000000\n45: 0\n46: 1\n47: 0\n48: 20000000000\n49: 160\n50: 200000000000\n51: 20000000000\n52: 200\n53: 20000000000\n54: 160\n55: 200000000000\n56: 20000000000\n57: 250\n58: 200000000000\n59: 200\n60: 20000000000\n61: 160\n62: 0\n63: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val i2 = coll1.size\n val box3 = OUTPUTS(placeholder[Int](0))\n val l4 = box3.value\n val l5 = SELF.value\n val l6 = l4 - l5\n val bool7 = box3.propositionBytes == SELF.propositionBytes\n val i8 = placeholder[Int](1)\n val bool9 = l4 >= i8.toLong\n val coll10 = box3.tokens\n val coll11 = SELF.tokens\n val bool12 = coll10(placeholder[Int](2)) == coll11(placeholder[Int](3))\n val tuple13 = coll10(placeholder[Int](4))\n val tuple14 = coll11(placeholder[Int](5))\n val bool15 = tuple13 == tuple14\n val tuple16 = coll10(placeholder[Int](6))\n val tuple17 = coll11(placeholder[Int](7))\n val coll18 = tuple17._1\n val bool19 = tuple16._1 == coll18\n val l20 = placeholder[Long](8) - tuple16._2\n val l21 = placeholder[Long](9) - tuple17._2\n val l22 = l20 - l21\n val coll23 = placeholder[Coll[Byte]](10)\n val bi24 = placeholder[BigInt](11)\n val bool25 = l6 > placeholder[Long](12)\n val l26 = if (bool25) { l6 } else { l6 * placeholder[Long](13) }\n if (i2 > placeholder[Int](14)) {(\n val box27 = OUTPUTS(placeholder[Int](15))\n val coll28 = box27.tokens\n val tuple29 = coll28(placeholder[Int](16))\n val l30 = tuple29._2\n val box31 = coll1(placeholder[Int](17))\n val coll32 = box31.tokens\n val tuple33 = coll32(placeholder[Int](18))\n val tuple34 = coll28(placeholder[Int](19))\n val coll35 = tuple34._1\n val box36 = coll1(placeholder[Int](20))\n val coll37 = coll32(placeholder[Int](21))._1\n val i38 = box36.R6[Coll[Coll[Byte]]].get.indexOf(coll37, placeholder[Int](22))\n val bi39 = tuple34._2.toBigInt\n val bi40 = box31.R4[Int].get.toBigInt\n val bi41 = tuple33._2.toBigInt\n val i42 = placeholder[Int](23)\n val l43 = box36.R4[Coll[Long]].get(i38)\n val tuple44 = box27.R5[(Int, Int)].get\n val box45 = coll1(placeholder[Int](24))\n val box46 = coll1(placeholder[Int](25))\n val i47 = box46.R4[Coll[Long]].get.size\n val tuple48 = box27.R9[(Long, Long)].get\n val l49 = tuple48._1\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool7 && (l6 * placeholder[Long](26) == l30)) && (l6 < placeholder[Long](27))) && bool9) && bool12) && bool15\n ) && bool19\n ) && (l22 == l30)\n ) && (blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](28))\n ) && (box27.value >= i8.toLong + placeholder[Long](29))\n ) && (\n ((tuple33._1 == coll35) && (coll35 == box36.R5[Coll[Coll[Byte]]].get(i38))) && (\n box31.value.toBigInt * bi39 * bi40 / bi41 + bi41 * placeholder[Int](30).toBigInt / placeholder[BigInt](\n 31\n ) * i42.toBigInt + bi39 * bi40 - placeholder[Int](32).toBigInt >= l30.toBigInt * l43.toBigInt / i42.toBigInt\n )\n )\n ) && (tuple29._1 == coll18)\n ) && (l30 >= placeholder[Long](33))\n ) && box27.R4[Coll[Byte]].isDefined\n ) && (tuple44._2 == box45.R4[Coll[Long]].get.size - placeholder[Int](34))\n ) && (tuple44._1 == i47)\n ) && (box27.R6[(Long, Long)].get == (l43, box36.R7[Coll[Long]].get(i38)))\n ) && (box27.R7[Coll[Byte]].get == coll37)\n ) && box27.R8[GroupElement].isDefined\n ) && ((l49 > HEIGHT.toLong) && (l49 < HEIGHT + placeholder[Int](35).toLong))\n ) && (tuple48._2 == placeholder[Long](36))\n ) && ((box45.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38)) && (box45.R6[Int].get == i47))\n ) && (box46.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n ) && (box36.tokens(placeholder[Int](41))._1 == coll23)\n )\n )} else {\n sigmaProp(\n (((((bool7 && bool12) && bool15) && bool19) && bool25) && (l22 < placeholder[Long](42))) || (\n (\n ((((bool7 && bool12) && (tuple13._1 == tuple14._1)) && bool9) && (tuple16 == tuple17)) && (\n bi24 * l4.toBigInt + l20.toBigInt / placeholder[Long](43) - tuple13._2.toBigInt > bi24 * l5.toBigInt + l21.toBigInt / placeholder[Long](\n 44\n ) - tuple14._2.toBigInt\n )\n ) && if (i2 > placeholder[Int](45)) {(\n val box27 = OUTPUTS(placeholder[Int](46))\n val box28 = coll1(placeholder[Int](47))\n (\n (box27.propositionBytes == box28.R8[Coll[Byte]].get) && (\n box27.value >= max(\n if (l26 <= placeholder[Long](48)) { l26 / placeholder[Int](49).toLong } else {\n if (l26 <= placeholder[Long](50)) {\n l26 - placeholder[Long](51) / placeholder[Int](52).toLong + placeholder[Long](53) / placeholder[Int](54).toLong\n } else {\n l26 - placeholder[Long](55) - placeholder[Long](56) / placeholder[Int](57).toLong + placeholder[Long](58) / placeholder[Int](\n 59\n ).toLong + placeholder[Long](60) / placeholder[Int](61).toLong\n }\n }, i8.toLong\n )\n )\n ) && (box28.tokens(placeholder[Int](62))._1 == coll23)\n )} else { placeholder[Boolean](63) }\n )\n )\n }\n}",
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{
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"index": 0,
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"name": "Pool NFT ERG-0e",
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"type": "EIP-004"
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"amount": 8975892362921083,
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"type": "EIP-004"
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}
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"additionalRegisters": {},
"spentTransactionId": "c760b9e8917de115b722c2d807388bd76cc14af0f96a2da1ec2d7a41db35c2ca",
"mainChain": true
},
{
"boxId": "babb54f0dedcb61a6e1de6efb743a0a234bbf7d0bf42f543dfa227bb42e440b0",
"transactionId": "60680fe2aa4bb6dff1c2ea09b8d666b63221b77f82ab767973c7397eec214d1a",
"blockId": "774e08e3466f498d00aef44a8869c4c313ed5015e1dc216506b44d548b9ffbea",
"value": 4000000,
"index": 1,
"globalIndex": 47987975,
"creationHeight": 1530041,
"settlementHeight": 1530043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: CBigInt(1)\n3: 1\n4: 1\n5: 0\n6: 100000000\n7: 100000000\n8: 2\n9: 1\n10: 0\n11: 100000000\n12: 100000000\n13: 100000000\n14: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n15: 0\n16: 0\n17: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n18: 0\n19: 0\n20: 0\n21: 3\n22: 2\n23: 1000\n24: 2\n25: CBigInt(100)\n26: 4000000\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 1\n33: Coll(113,37,-28,-114,96,-115,19,-44,101,75,14,44,-51,25,122,64,-90,-46,6,84,-103,104,-61,118,-50,7,-64,48,-12,-79,88,-13)\n34: 1000000\n35: 0\n36: CBigInt(2)\n37: 3\n38: 2\n39: 1000\n40: 2\n41: CBigInt(100)\n42: 4000000\n43: 1000000\n44: 2\n45: 0\n46: false\n47: 2\n48: 3\n49: 1\n50: 3\n51: 2\n52: 1000\n53: 2\n54: CBigInt(100)\n55: 4000000\n56: 0\n57: 100000000\n58: 1000000\n59: 2000000\n60: 50000000\n61: 1000000\n62: 100000000\n63: 5\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 l4 = SELF.value\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val tuple8 = SELF.R6[(Long, Long)].get\n val l9 = tuple8._1\n val bi10 = placeholder[BigInt](2)\n val tuple11 = coll5(placeholder[Int](3))\n val l12 = tuple11._2\n val bi13 = l12.toBigInt\n val box14 = coll7(placeholder[Int](4))\n val coll15 = box14.R4[Coll[Long]].get\n val i16 = coll15.size\n val tuple17 = SELF.R5[(Int, Int)].get\n val i18 = tuple17._1\n val box19 = coll7(placeholder[Int](5))\n val coll20 = box19.R4[Coll[Long]].get\n val l21 = coll20.slice(tuple17._2, coll20.size).fold(placeholder[Long](6), {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](7) })\n val box22 = coll7(placeholder[Int](8))\n val coll23 = box22.R4[Coll[Long]].get\n val bi24 = if (i16 == i18) { l21 } else {(\n val i24 = i18 + placeholder[Int](9)\n val l25 = coll23.slice(placeholder[Int](10), coll23.size).fold(l21, {(tuple25: (Long, Long)) => tuple25._1 * tuple25._2 / placeholder[Long](11) })\n if (i16 == i24) { l25 } else { coll15.slice(i24, i16).fold(l25, {(tuple26: (Long, Long)) => tuple26._1 * tuple26._2 / placeholder[Long](12) }) }\n )}.toBigInt\n val l25 = placeholder[Long](13)\n val bi26 = bi10 + bi13 * bi24 / l25.toBigInt\n val coll27 = SELF.R4[Coll[Byte]].get\n val coll28 = SELF.R7[Coll[Byte]].get\n val tuple29 = SELF.R9[(Long, Long)].get\n val l30 = tuple29._1\n val l31 = tuple29._2\n val coll32 = placeholder[Coll[Byte]](14)\n val bool33 = box19.tokens(placeholder[Int](15))._1 == coll32\n val bool34 = box19.R6[Int].get == i18\n val bool35 = box14.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17)\n val bool36 = (box22.tokens(placeholder[Int](18))._1 == coll32) && (box22.R6[Int].get == i16)\n val coll37 = tuple11._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val coll39 = box38.tokens\n val tuple40 = coll39(placeholder[Int](20))\n val box41 = coll7(placeholder[Int](21))\n val bi42 = tuple40._2.toBigInt\n val bi43 = box41.R4[Int].get.toBigInt\n val coll44 = box41.tokens\n val bi45 = coll44(placeholder[Int](22))._2.toBigInt\n val i46 = placeholder[Int](23)\n val tuple47 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box38.propositionBytes == coll3) && (box38.value >= l4)) && (tuple40._1 == tuple6._1)) && (\n box41.value.toBigInt * bi42 * bi43 / bi45 + bi45 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i46.toBigInt + bi42 * bi43 - placeholder[Int](26).toBigInt > bi26 * l9.toBigInt / i46.toBigInt\n )\n ) && (coll39(placeholder[Int](27)) == tuple11)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (\n box38.R7[Coll[Byte]].get == coll28\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple47._1 == l30)\n ) && (tuple47._2 == l31)\n )\n ) && bool33\n ) && bool34\n ) && bool35\n ) && (coll44(placeholder[Int](28))._1 == coll28)\n ) && bool36\n )\n )} else { if (INPUTS(placeholder[Int](29)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](30))\n val coll39 = box38.propositionBytes\n val coll40 = box38.tokens\n val tuple41 = coll40(placeholder[Int](31))\n val bool42 = tuple41 == tuple6\n val box43 = OUTPUTS(placeholder[Int](32))\n val bool44 = blake2b256(box43.propositionBytes) == placeholder[Coll[Byte]](33)\n val l45 = box43.value\n val bi46 = l45.toBigInt\n val l47 = placeholder[Long](34)\n val tuple48 = box43.tokens(placeholder[Int](35))\n val bool49 = tuple48 == tuple11\n val coll50 = box1.tokens\n val l51 = box38.value\n sigmaProp(((((((((((coll39 == coll27) && bool42) && bool44) && (bi46 >= max(bi26 + l47.toBigInt, placeholder[BigInt](36) * l47.toBigInt))) && bool49) && bool33) && bool34) && bool35) && bool36) || if (coll50.size >= placeholder[Int](37)) {(\n val bi52 = tuple6._2.toBigInt\n val bi53 = box1.R4[Int].get.toBigInt\n val bi54 = coll50(placeholder[Int](38))._2.toBigInt\n val i55 = placeholder[Int](39)\n val bi56 = box1.value.toBigInt * bi52 * bi53 / bi54 + bi54 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i55.toBigInt + bi52 * bi53 - placeholder[Int](42).toBigInt\n val bi57 = bi56 - bi26\n val bi58 = tuple8._2.toBigInt\n val bi59 = bi57 * i55.toBigInt - bi58 / i55.toBigInt\n ((((((((((bi56 <= bi26 * l9.toBigInt / i55.toBigInt) && (HEIGHT.toLong > l31)) || (HEIGHT.toLong > l30)) && bool44) && if (bi59 < placeholder[Int](43).toBigInt) { bi46 >= bi56 } else {(\n val box60 = OUTPUTS(placeholder[Int](44))\n ((bi46 >= bi26 + bi57 * bi58 / i55.toBigInt) && (box60.value.toBigInt >= bi59)) && (box60.propositionBytes == coll27)\n )}) && bool49) && (coll50(placeholder[Int](45))._1 == coll28)) && bool33) && bool34) && bool35) && bool36\n )} else { placeholder[Boolean](46) }) || if ((coll40.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple52 = box38.R9[(Long, Long)].get\n val l53 = tuple52._2\n val bool54 = coll39 == coll3\n val tuple55 = coll40(placeholder[Int](49))\n val l56 = tuple55._2\n val bi57 = l56.toBigInt\n val bool58 = (((((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (box38.R7[Coll[Byte]].get == coll28)) && (box38.R8[GroupElement].get == ge2)) && (tuple52._1 == l30)\n val box59 = coll7(placeholder[Int](50))\n val bi60 = tuple41._2.toBigInt\n val bi61 = box59.R4[Int].get.toBigInt\n val coll62 = box59.tokens\n val bi63 = coll62(placeholder[Int](51))._2.toBigInt\n val i64 = placeholder[Int](52)\n val bi65 = box59.value.toBigInt * bi60 * bi61 / bi63 + bi63 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i64.toBigInt + bi60 * bi61 - placeholder[Int](55).toBigInt\n val bi66 = bi10 + bi57 * bi24 / l25.toBigInt\n val bi67 = bi66 * l9.toBigInt / i64.toBigInt\n val bool68 = coll62(placeholder[Int](56))._1 == coll28\n if (l53 == placeholder[Long](57)) { (((((((((((((((bool54 && (l51 >= l4)) && bool42) && (tuple55._1 == coll37)) && (bi57 >= bi13 - l45 - placeholder[Long](58).toBigInt * l25.toBigInt / bi24)) && bool58) && (l31 == l53)) && bool44) && (l45 >= placeholder[Long](59))) && ((tuple48._2 == l12 - l56) && (tuple48._1 == coll37))) && bool33) && bool34) && bool35) && bool36) && (bi65 >= bi67)) && bool68) && (bi66 >= placeholder[Long](60).toBigInt) } else { (((((((((((bi65 < bi67) && bool54) && (l51 >= l4 - placeholder[Long](61))) && (coll40 == coll5)) && (l31 == placeholder[Long](62))) && bool58) && bool33) && bool34) && bool35) && bool36) && bool68) && ((l53 > HEIGHT.toLong) && (l53 < HEIGHT + placeholder[Int](63).toLong)) }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 0,
"amount": 616767,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 135000000000,
"name": "Borrow Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5812b801",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[9,92]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0702b5699f2e5e5972ef313a6ef739973d7853891d9829f590009b638a68fcfedc96",
"sigmaType": "SGroupElement",
"renderedValue": "02b5699f2e5e5972ef313a6ef739973d7853891d9829f590009b638a68fcfedc96"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f"
},
"R9": {
"serializedValue": "59aae2c2018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1595541,100000000]"
},
"R4": {
"serializedValue": "0e240008cd02b5699f2e5e5972ef313a6ef739973d7853891d9829f590009b638a68fcfedc96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02b5699f2e5e5972ef313a6ef739973d7853891d9829f590009b638a68fcfedc96"
}
},
"spentTransactionId": "12c89ddf5661d5a844d1b28d599f090de15b5be2b61d4ad66b6a3c008e95732d",
"mainChain": true
},
{
"boxId": "2fce9fd5e621d7fc0a1125acb4f0db36cf72ded5793993ed7ebbeccfeb08eabb",
"transactionId": "60680fe2aa4bb6dff1c2ea09b8d666b63221b77f82ab767973c7397eec214d1a",
"blockId": "774e08e3466f498d00aef44a8869c4c313ed5015e1dc216506b44d548b9ffbea",
"value": 135000000000,
"index": 2,
"globalIndex": 47987976,
"creationHeight": 1530041,
"settlementHeight": 1530043,
"ergoTree": "0008cd02b5699f2e5e5972ef313a6ef739973d7853891d9829f590009b638a68fcfedc96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b5699f,ac1de5,...)))}",
"address": "9ftxTQLuBkxfYefg5tBm1koGAdDYYS8vNwwwgjFv4fP2hVhTzhB",
"assets": [],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "85457eaf2db457954321e2b2c33e3254d8636502c5ac6a3d67c1535974f04311"
}
},
"spentTransactionId": "9623928027f1c88dcd527bc95f72ddba6a24f73e262f000143ffad232ac844c8",
"mainChain": true
},
{
"boxId": "bd89e7a8eb845c98fff10975928b64826d0d75acd262d91afede027f4a07b783",
"transactionId": "60680fe2aa4bb6dff1c2ea09b8d666b63221b77f82ab767973c7397eec214d1a",
"blockId": "774e08e3466f498d00aef44a8869c4c313ed5015e1dc216506b44d548b9ffbea",
"value": 1000120,
"index": 3,
"globalIndex": 47987977,
"creationHeight": 1530041,
"settlementHeight": 1530043,
"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": "088a408c48b3348e7e399df5c8c54588ae83614e2bfa85b64e618721445e6fad",
"mainChain": true
},
{
"boxId": "78ccc26f0f06a254c64b991321eb130ed685774e783029cc03812d41af61c671",
"transactionId": "60680fe2aa4bb6dff1c2ea09b8d666b63221b77f82ab767973c7397eec214d1a",
"blockId": "774e08e3466f498d00aef44a8869c4c313ed5015e1dc216506b44d548b9ffbea",
"value": 999880,
"index": 4,
"globalIndex": 47987978,
"creationHeight": 1530041,
"settlementHeight": 1530043,
"ergoTree": "0008cd02cec08d7fff81321b9207fc9ca006784c983c7a0d4b835e4349ba069b0c476afa",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cec08d,1f31ab,...)))}",
"address": "9g67ioB5MGLgmv7zLGQvLV7kCY1XHSe8W969snzccgo95M8Z856",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0fa01ce279ed028d649f5f260c2cfbc3d28c62818e99dd8162c80bb64c2f29ae",
"mainChain": true
}
],
"size": 3771,
"isUnconfirmed": false
}