Transaction
ID: bab97cb365...049f
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
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
Transaction Details
Confirmations: 700,366
Total coins transferred: 0.005 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000394 ERG
Raw Transaction Data
{
"id": "bab97cb365f592393551d76d401a695f9e72838e222762ad88df377223e3049f",
"blockId": "2ee9233d7abbc03910e8097dbd1e19dc0458d5700f0fb7b043c0a3085f234d2b",
"inclusionHeight": 1069516,
"timestamp": 1692089750587,
"index": 32,
"globalIndex": 5676422,
"numConfirmations": 700366,
"inputs": [
{
"boxId": "2ef24113d8a508d8020a798e4961eea5be19248da33cc8f2e57b9a2204432c1a",
"value": 1000000,
"index": 0,
"spendingProof": "a5047aa255a8243de2b05f8b3a8473ca1c305ec1ae2343f5424a03e10ae2ed55c394d4152ed653ccd5512c3a0d78ae702c8b7c86de30d635",
"outputBlockId": "7502796f183a06a8f756fe3d221476cae8a5c73b94f5fb60fa8bc8cff4b439eb",
"outputTransactionId": "e0031857c47b0e6815d45bc773ac8ea078ae7a89c2d39acfda5a22f53ea9417d",
"outputIndex": 1,
"outputGlobalIndex": 31755172,
"outputCreatedAt": 1068129,
"outputSettledAt": 1068131,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96048301ea027300d191a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -66",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT > placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P15NfEhxGYTszpKJfYFx9vX",
"assets": [
{
"tokenId": "418ebd1dddc732d27e70a80a5372bdfad98f066e0769e70975ccc1e081bf798e",
"index": 0,
"amount": 10,
"name": "Interest Param Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "021e68e4d8a66d27ee0a74084d9e0f0fd49c443acba46d0d2d6da924f1a90c72",
"index": 1,
"amount": 10,
"name": "Lend Token ERG-0b",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "13dfcf0736339ca05fdb66df65b9c6514c83e173971dd06607456616e608e34f",
"value": 4000000,
"index": 1,
"spendingProof": "bd50cd2961b0fb1a03bf52c8e08e53f41ce26025db8799378ab58e7ffa8b724e57e8aa7eab175082106c7775a7d265168ad61967e3c307c3",
"outputBlockId": "9d9a97a16d75494df4310974d9c41e400c1871e5adefad02ec24f8a7613f4ea9",
"outputTransactionId": "773f034cd17de1d8b3544048a0b40e66cc002f3d778284cdd6895053f951ae8c",
"outputIndex": 0,
"outputGlobalIndex": 31809524,
"outputCreatedAt": 1069501,
"outputSettledAt": 1069503,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-116,-126,101,9,-92,-91,-111,-10,-89,-57,89,53,-22,-99,65,31,-33,-18,-17,20,45,-119,65,-37,92,54,-124,86,23,-100,50,72)\n14: 0\n15: 0\n16: Coll(55,32,49,73,5,36,-72,100,75,-53,-20,-126,118,58,-26,-48,-73,68,61,-67,-3,-76,84,-120,118,66,2,25,6,117,-72,-34)\n17: 0\n18: 0\n19: 0\n20: 3\n21: 2\n22: 1000\n23: 2\n24: CBigInt(100)\n25: 4000000\n26: 1\n27: 0\n28: 1\n29: 0\n30: 0\n31: 1\n32: Coll(-112,-25,39,58,-41,6,66,-6,59,41,-101,-113,44,-5,10,-126,39,13,-114,57,-7,17,91,-120,47,-115,-45,5,-127,48,-97,-116)\n33: 0\n34: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n35: 1000000\n36: 2000000\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: 100000000\n57: 0\n58: 100000000\n59: 1000000\n60: 100000000\n61: 2000000\n62: 50000000\n63: 1000000\n64: 100000000\n65: 5\n66: false\n67: 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 = coll5(placeholder[Int](2))\n val l9 = tuple8._2\n val box10 = coll7(placeholder[Int](3))\n val coll11 = box10.R4[Coll[Long]].get\n val i12 = coll11.size\n val tuple13 = SELF.R5[(Int, Int)].get\n val i14 = tuple13._1\n val box15 = coll7(placeholder[Int](4))\n val coll16 = box15.R4[Coll[Long]].get\n val l17 = coll16.slice(tuple13._2, coll16.size).fold(placeholder[Long](5), {(tuple17: (Long, Long)) => tuple17._1 * tuple17._2 / placeholder[Long](6) })\n val box18 = coll7(placeholder[Int](7))\n val coll19 = box18.R4[Coll[Long]].get\n val l20 = if (i12 == i14) { l17 } else {(\n val i20 = i14 + placeholder[Int](8)\n val l21 = coll19.slice(placeholder[Int](9), coll19.size).fold(l17, {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](10) })\n if (i12 == i20) { l21 } else { coll11.slice(i20, i12).fold(l21, {(tuple22: (Long, Long)) => tuple22._1 * tuple22._2 / placeholder[Long](11) }) }\n )}\n val l21 = l9 * l20 / placeholder[Long](12)\n val tuple22 = SELF.R6[(Long, Long)].get\n val l23 = tuple22._1\n val coll24 = SELF.R4[Coll[Byte]].get\n val coll25 = SELF.R7[Coll[Byte]].get\n val tuple26 = SELF.R9[(Long, Long)].get\n val l27 = tuple26._1\n val l28 = tuple26._2\n val coll29 = placeholder[Coll[Byte]](13)\n val bool30 = box15.tokens(placeholder[Int](14))._1 == coll29\n val bool31 = box15.R6[Int].get == i14\n val bool32 = box10.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool33 = (box18.tokens(placeholder[Int](17))._1 == coll29) && (box18.R6[Int].get == i12)\n val coll34 = tuple8._1\n if (box1 == SELF) {(\n val box35 = OUTPUTS(placeholder[Int](18))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](19))\n val box38 = coll7(placeholder[Int](20))\n val bi39 = tuple37._2.toBigInt\n val bi40 = box38.R4[Int].get.toBigInt\n val coll41 = box38.tokens\n val bi42 = coll41(placeholder[Int](21))._2.toBigInt\n val i43 = placeholder[Int](22)\n val tuple44 = box35.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box35.propositionBytes == coll3) && (box35.value >= l4)) && (tuple37._1 == tuple6._1)) && (\n box38.value.toBigInt * bi39 * bi40 / bi42 + bi42 * placeholder[Int](23).toBigInt / placeholder[BigInt](\n 24\n ) * i43.toBigInt + bi39 * bi40 - placeholder[Int](25).toBigInt >= l21.toBigInt * l23.toBigInt / i43.toBigInt\n )\n ) && (coll36(placeholder[Int](26)) == tuple8)\n ) && (\n (\n (\n (\n (((box35.R4[Coll[Byte]].get == coll24) && (box35.R5[(Int, Int)].get == tuple13)) && (box35.R6[(Long, Long)].get == tuple22)) && (\n box35.R7[Coll[Byte]].get == coll25\n )\n ) && (box35.R8[GroupElement].get == ge2)\n ) && (tuple44._1 == l27)\n ) && (tuple44._2 == l28)\n )\n ) && bool30\n ) && bool31\n ) && bool32\n ) && (coll41(placeholder[Int](27))._1 == coll25)\n ) && bool33\n )\n )} else { if (INPUTS(placeholder[Int](28)) == SELF) {(\n val box35 = OUTPUTS(placeholder[Int](29))\n val coll36 = box35.propositionBytes\n val coll37 = box35.tokens\n val tuple38 = coll37(placeholder[Int](30))\n val bool39 = tuple38 == tuple6\n val box40 = OUTPUTS(placeholder[Int](31))\n val bool41 = blake2b256(box40.propositionBytes) == placeholder[Coll[Byte]](32)\n val l42 = box40.value\n val tuple43 = box40.tokens(placeholder[Int](33))\n val bool44 = tuple43 == tuple8\n val coll45 = box1.tokens\n val l46 = box35.value\n placeholder[SigmaProp](34) && sigmaProp(((((((((((coll36 == coll24) && bool39) && bool41) && (l42 >= max(l21 + placeholder[Long](35), placeholder[Long](36)))) && bool44) && bool30) && bool31) && bool32) && bool33) || if (coll45.size >= placeholder[Int](37)) {(\n val bi47 = tuple6._2.toBigInt\n val bi48 = box1.R4[Int].get.toBigInt\n val bi49 = coll45(placeholder[Int](38))._2.toBigInt\n val i50 = placeholder[Int](39)\n val bi51 = box1.value.toBigInt * bi47 * bi48 / bi49 + bi49 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i50.toBigInt + bi47 * bi48 - placeholder[Int](42).toBigInt\n val bi52 = l21.toBigInt\n val bi53 = bi51 - bi52\n val bi54 = tuple22._2.toBigInt\n val bi55 = bi53 * i50.toBigInt - bi54 / i50.toBigInt\n (((((((((bi51 <= bi52 * l23.toBigInt / i50.toBigInt) && (HEIGHT.toLong > l28)) || (HEIGHT.toLong > l27)) && if (bi55 < placeholder[Int](43).toBigInt) { l42.toBigInt >= bi51 } else {(\n val box56 = OUTPUTS(placeholder[Int](44))\n ((l42.toBigInt >= bi52 + bi53 * bi54 / i50.toBigInt) && (box56.value.toBigInt >= bi55)) && (box56.propositionBytes == coll24)\n )}) && bool44) && (coll45(placeholder[Int](45))._1 == coll25)) && bool30) && bool31) && bool32) && bool33\n )} else { placeholder[Boolean](46) }) || if ((coll37.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple47 = box35.R9[(Long, Long)].get\n val l48 = tuple47._2\n val bool49 = coll36 == coll3\n val tuple50 = coll37(placeholder[Int](49))\n val l51 = tuple50._2\n val bool52 = (((((box35.R4[Coll[Byte]].get == coll24) && (box35.R5[(Int, Int)].get == tuple13)) && (box35.R6[(Long, Long)].get == tuple22)) && (box35.R7[Coll[Byte]].get == coll25)) && (box35.R8[GroupElement].get == ge2)) && (tuple47._1 == l27)\n val box53 = coll7(placeholder[Int](50))\n val bi54 = tuple38._2.toBigInt\n val bi55 = box53.R4[Int].get.toBigInt\n val coll56 = box53.tokens\n val bi57 = coll56(placeholder[Int](51))._2.toBigInt\n val i58 = placeholder[Int](52)\n val bi59 = box53.value.toBigInt * bi54 * bi55 / bi57 + bi57 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i58.toBigInt + bi54 * bi55 - placeholder[Int](55).toBigInt\n val l60 = l51 * l20 / placeholder[Long](56)\n val bi61 = l60.toBigInt * l23.toBigInt / i58.toBigInt\n val bool62 = coll56(placeholder[Int](57))._1 == coll25\n if (l48 == placeholder[Long](58)) { (((((((((((((((bool49 && (l46 >= l4)) && bool39) && (tuple50._1 == coll34)) && (l51.toBigInt >= l9.toBigInt - l42 - placeholder[Long](59).toBigInt * placeholder[Long](60).toBigInt / l20.toBigInt)) && bool52) && (l28 == l48)) && bool41) && (l42 >= placeholder[Long](61))) && ((tuple43._2 == l9 - l51) && (tuple43._1 == coll34))) && bool30) && bool31) && bool32) && bool33) && (bi59 >= bi61)) && bool62) && (l60 >= placeholder[Long](62)) } else { (((((((((((bi59 < bi61) && bool49) && (l46 >= l4 - placeholder[Long](63))) && (coll37 == coll5)) && (l28 == placeholder[Long](64))) && bool52) && bool30) && bool31) && bool32) && bool33) && bool62) && ((l48 > HEIGHT.toLong) && (l48 < HEIGHT + placeholder[Int](65).toLong)) }\n )} else { placeholder[Boolean](66) })\n )} else { sigmaProp(placeholder[Boolean](67)) } }\n}",
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"assets": [
{
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"index": 0,
"amount": 22440,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "019177c19a288c50ab25f013859aea325ce82847afc8a431ac722958e8255d0d",
"index": 1,
"amount": 8100000000,
"name": "Dummy tokens 2",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "58020e",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,7]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
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"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f"
},
"R9": {
"serializedValue": "59daa4b3018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1468717,100000000]"
},
"R4": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
}
}
}
],
"dataInputs": [
{
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"index": 0,
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"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "SLong",
"renderedValue": "1068837"
},
"R6": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R8": {
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"sigmaType": "SBoolean",
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},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
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"sigmaType": "SBoolean",
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},
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,100000070,100000070,100000070,100000070,100000490,100000514,100000514,100000647,100000508]"
}
}
},
{
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},
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},
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}
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{
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"additionalRegisters": {
"R4": {
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"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
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"transactionId": "bab97cb365f592393551d76d401a695f9e72838e222762ad88df377223e3049f",
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"creationHeight": 1069514,
"settlementHeight": 1069516,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-116,-126,101,9,-92,-91,-111,-10,-89,-57,89,53,-22,-99,65,31,-33,-18,-17,20,45,-119,65,-37,92,54,-124,86,23,-100,50,72)\n14: 0\n15: 0\n16: Coll(55,32,49,73,5,36,-72,100,75,-53,-20,-126,118,58,-26,-48,-73,68,61,-67,-3,-76,84,-120,118,66,2,25,6,117,-72,-34)\n17: 0\n18: 0\n19: 0\n20: 3\n21: 2\n22: 1000\n23: 2\n24: CBigInt(100)\n25: 4000000\n26: 1\n27: 0\n28: 1\n29: 0\n30: 0\n31: 1\n32: Coll(-112,-25,39,58,-41,6,66,-6,59,41,-101,-113,44,-5,10,-126,39,13,-114,57,-7,17,91,-120,47,-115,-45,5,-127,48,-97,-116)\n33: 0\n34: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n35: 1000000\n36: 2000000\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: 100000000\n57: 0\n58: 100000000\n59: 1000000\n60: 100000000\n61: 2000000\n62: 50000000\n63: 1000000\n64: 100000000\n65: 5\n66: false\n67: 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 = coll5(placeholder[Int](2))\n val l9 = tuple8._2\n val box10 = coll7(placeholder[Int](3))\n val coll11 = box10.R4[Coll[Long]].get\n val i12 = coll11.size\n val tuple13 = SELF.R5[(Int, Int)].get\n val i14 = tuple13._1\n val box15 = coll7(placeholder[Int](4))\n val coll16 = box15.R4[Coll[Long]].get\n val l17 = coll16.slice(tuple13._2, coll16.size).fold(placeholder[Long](5), {(tuple17: (Long, Long)) => tuple17._1 * tuple17._2 / placeholder[Long](6) })\n val box18 = coll7(placeholder[Int](7))\n val coll19 = box18.R4[Coll[Long]].get\n val l20 = if (i12 == i14) { l17 } else {(\n val i20 = i14 + placeholder[Int](8)\n val l21 = coll19.slice(placeholder[Int](9), coll19.size).fold(l17, {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](10) })\n if (i12 == i20) { l21 } else { coll11.slice(i20, i12).fold(l21, {(tuple22: (Long, Long)) => tuple22._1 * tuple22._2 / placeholder[Long](11) }) }\n )}\n val l21 = l9 * l20 / placeholder[Long](12)\n val tuple22 = SELF.R6[(Long, Long)].get\n val l23 = tuple22._1\n val coll24 = SELF.R4[Coll[Byte]].get\n val coll25 = SELF.R7[Coll[Byte]].get\n val tuple26 = SELF.R9[(Long, Long)].get\n val l27 = tuple26._1\n val l28 = tuple26._2\n val coll29 = placeholder[Coll[Byte]](13)\n val bool30 = box15.tokens(placeholder[Int](14))._1 == coll29\n val bool31 = box15.R6[Int].get == i14\n val bool32 = box10.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool33 = (box18.tokens(placeholder[Int](17))._1 == coll29) && (box18.R6[Int].get == i12)\n val coll34 = tuple8._1\n if (box1 == SELF) {(\n val box35 = OUTPUTS(placeholder[Int](18))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](19))\n val box38 = coll7(placeholder[Int](20))\n val bi39 = tuple37._2.toBigInt\n val bi40 = box38.R4[Int].get.toBigInt\n val coll41 = box38.tokens\n val bi42 = coll41(placeholder[Int](21))._2.toBigInt\n val i43 = placeholder[Int](22)\n val tuple44 = box35.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box35.propositionBytes == coll3) && (box35.value >= l4)) && (tuple37._1 == tuple6._1)) && (\n box38.value.toBigInt * bi39 * bi40 / bi42 + bi42 * placeholder[Int](23).toBigInt / placeholder[BigInt](\n 24\n ) * i43.toBigInt + bi39 * bi40 - placeholder[Int](25).toBigInt >= l21.toBigInt * l23.toBigInt / i43.toBigInt\n )\n ) && (coll36(placeholder[Int](26)) == tuple8)\n ) && (\n (\n (\n (\n (((box35.R4[Coll[Byte]].get == coll24) && (box35.R5[(Int, Int)].get == tuple13)) && (box35.R6[(Long, Long)].get == tuple22)) && (\n box35.R7[Coll[Byte]].get == coll25\n )\n ) && (box35.R8[GroupElement].get == ge2)\n ) && (tuple44._1 == l27)\n ) && (tuple44._2 == l28)\n )\n ) && bool30\n ) && bool31\n ) && bool32\n ) && (coll41(placeholder[Int](27))._1 == coll25)\n ) && bool33\n )\n )} else { if (INPUTS(placeholder[Int](28)) == SELF) {(\n val box35 = OUTPUTS(placeholder[Int](29))\n val coll36 = box35.propositionBytes\n val coll37 = box35.tokens\n val tuple38 = coll37(placeholder[Int](30))\n val bool39 = tuple38 == tuple6\n val box40 = OUTPUTS(placeholder[Int](31))\n val bool41 = blake2b256(box40.propositionBytes) == placeholder[Coll[Byte]](32)\n val l42 = box40.value\n val tuple43 = box40.tokens(placeholder[Int](33))\n val bool44 = tuple43 == tuple8\n val coll45 = box1.tokens\n val l46 = box35.value\n placeholder[SigmaProp](34) && sigmaProp(((((((((((coll36 == coll24) && bool39) && bool41) && (l42 >= max(l21 + placeholder[Long](35), placeholder[Long](36)))) && bool44) && bool30) && bool31) && bool32) && bool33) || if (coll45.size >= placeholder[Int](37)) {(\n val bi47 = tuple6._2.toBigInt\n val bi48 = box1.R4[Int].get.toBigInt\n val bi49 = coll45(placeholder[Int](38))._2.toBigInt\n val i50 = placeholder[Int](39)\n val bi51 = box1.value.toBigInt * bi47 * bi48 / bi49 + bi49 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i50.toBigInt + bi47 * bi48 - placeholder[Int](42).toBigInt\n val bi52 = l21.toBigInt\n val bi53 = bi51 - bi52\n val bi54 = tuple22._2.toBigInt\n val bi55 = bi53 * i50.toBigInt - bi54 / i50.toBigInt\n (((((((((bi51 <= bi52 * l23.toBigInt / i50.toBigInt) && (HEIGHT.toLong > l28)) || (HEIGHT.toLong > l27)) && if (bi55 < placeholder[Int](43).toBigInt) { l42.toBigInt >= bi51 } else {(\n val box56 = OUTPUTS(placeholder[Int](44))\n ((l42.toBigInt >= bi52 + bi53 * bi54 / i50.toBigInt) && (box56.value.toBigInt >= bi55)) && (box56.propositionBytes == coll24)\n )}) && bool44) && (coll45(placeholder[Int](45))._1 == coll25)) && bool30) && bool31) && bool32) && bool33\n )} else { placeholder[Boolean](46) }) || if ((coll37.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple47 = box35.R9[(Long, Long)].get\n val l48 = tuple47._2\n val bool49 = coll36 == coll3\n val tuple50 = coll37(placeholder[Int](49))\n val l51 = tuple50._2\n val bool52 = (((((box35.R4[Coll[Byte]].get == coll24) && (box35.R5[(Int, Int)].get == tuple13)) && (box35.R6[(Long, Long)].get == tuple22)) && (box35.R7[Coll[Byte]].get == coll25)) && (box35.R8[GroupElement].get == ge2)) && (tuple47._1 == l27)\n val box53 = coll7(placeholder[Int](50))\n val bi54 = tuple38._2.toBigInt\n val bi55 = box53.R4[Int].get.toBigInt\n val coll56 = box53.tokens\n val bi57 = coll56(placeholder[Int](51))._2.toBigInt\n val i58 = placeholder[Int](52)\n val bi59 = box53.value.toBigInt * bi54 * bi55 / bi57 + bi57 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i58.toBigInt + bi54 * bi55 - placeholder[Int](55).toBigInt\n val l60 = l51 * l20 / placeholder[Long](56)\n val bi61 = l60.toBigInt * l23.toBigInt / i58.toBigInt\n val bool62 = coll56(placeholder[Int](57))._1 == coll25\n if (l48 == placeholder[Long](58)) { (((((((((((((((bool49 && (l46 >= l4)) && bool39) && (tuple50._1 == coll34)) && (l51.toBigInt >= l9.toBigInt - l42 - placeholder[Long](59).toBigInt * placeholder[Long](60).toBigInt / l20.toBigInt)) && bool52) && (l28 == l48)) && bool41) && (l42 >= placeholder[Long](61))) && ((tuple43._2 == l9 - l51) && (tuple43._1 == coll34))) && bool30) && bool31) && bool32) && bool33) && (bi59 >= bi61)) && bool62) && (l60 >= placeholder[Long](62)) } else { (((((((((((bi59 < bi61) && bool49) && (l46 >= l4 - placeholder[Long](63))) && (coll37 == coll5)) && (l28 == placeholder[Long](64))) && bool52) && bool30) && bool31) && bool32) && bool33) && bool62) && ((l48 > HEIGHT.toLong) && (l48 < HEIGHT + placeholder[Int](65).toLong)) }\n )} else { placeholder[Boolean](66) })\n )} else { sigmaProp(placeholder[Boolean](67)) } }\n}",
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"index": 0,
"amount": 22440,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
"amount": 8100000000,
"name": "Dummy tokens 2",
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"type": "EIP-004"
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],
"additionalRegisters": {
"R5": {
"serializedValue": "58020e",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,7]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
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"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f"
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"R9": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1468717,1069518]"
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"R4": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
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},
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"mainChain": true
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{
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"transactionId": "bab97cb365f592393551d76d401a695f9e72838e222762ad88df377223e3049f",
"blockId": "2ee9233d7abbc03910e8097dbd1e19dc0458d5700f0fb7b043c0a3085f234d2b",
"value": 1000000,
"index": 1,
"globalIndex": 31809911,
"creationHeight": 1069514,
"settlementHeight": 1069516,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96048301ea027300d191a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -66",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT > placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P15NfEhxGYTszpKJfYFx9vX",
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{
"tokenId": "021e68e4d8a66d27ee0a74084d9e0f0fd49c443acba46d0d2d6da924f1a90c72",
"index": 1,
"amount": 10,
"name": "Lend Token ERG-0b",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "6a6cde79851d37fcb4f1a0dea859c652febec8c668503b9571794047e27e09e1",
"mainChain": true
},
{
"boxId": "e666f31cb6f098222da95076e2a1e6ebf912d6c5aec6461a43cf369c5b3f75f1",
"transactionId": "bab97cb365f592393551d76d401a695f9e72838e222762ad88df377223e3049f",
"blockId": "2ee9233d7abbc03910e8097dbd1e19dc0458d5700f0fb7b043c0a3085f234d2b",
"value": 1000000,
"index": 2,
"globalIndex": 31809912,
"creationHeight": 1069514,
"settlementHeight": 1069516,
"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": "798192cde4520ee122ffd95ce0ee62885784b5159d573462ad8d9ec231f67c2c",
"mainChain": true
}
],
"size": 2537,
"isUnconfirmed": false
}