Transaction
ID: 10cda66ebc...f4fb
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00004176 ERG
Tokens:
19,793,558.15
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00005292 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00013608 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
18.62 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00147456 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
18.51 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00018108 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 170,661
Total coins transferred: 18.62 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000133 ERG
Raw Transaction Data
{
"id": "10cda66ebc91533b65d8888b3e297720b1de07a3159b4a9af5b1e00998a0f4fb",
"blockId": "5aa432e8b18831119a8613f1fd0a947848d135167f5509923c24e1acdbae8a97",
"inclusionHeight": 1598946,
"timestamp": 1756209764192,
"index": 2,
"globalIndex": 9401542,
"numConfirmations": 170661,
"inputs": [
{
"boxId": "ecca479d9ff2ab830cf8dd060b2c096c790e2397d484c24ba2345e44779e157a",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d691aa4c6b7cbb73933dc25283fbd0f9819778a6fb17cf42d5eb1a2e101c98f4",
"outputTransactionId": "b2d1f76505b7da17c693536f74da10bdb72abdf871899e31c702c0b75c29dca5",
"outputIndex": 0,
"outputGlobalIndex": 49656549,
"outputCreatedAt": 1598934,
"outputSettledAt": 1598936,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 0\n9: 1\n10: 0\n11: 0\n12: 4\n13: 1\n14: 1\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n17: 1\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 3\n28: 0\n29: 1\n30: 1474560\n31: 1\n32: 1\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 1\n43: 1\n44: 2\n45: 0\n46: 3\n47: 1\n48: 1\n49: 0\n50: 2\n51: 0\n52: 1000\n53: 1\n54: 2\n55: 0\n56: 3\n57: 0\n58: 1\n59: 4000000\n60: 0\n61: 1\n62: 1\n63: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val l8 = tuple7._2\n val bool9 = l4 == l8\n val tuple10 = coll2(placeholder[Int](4))\n val l11 = tuple10._2\n val tuple12 = coll6(placeholder[Int](5))\n val l13 = tuple12._2\n val bool14 = l11 == l13\n val tuple15 = coll2(placeholder[Int](6))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](7))\n val l18 = tuple17._2\n val bool19 = l16 == l18\n val coll20 = SELF.R5[Coll[Coll[Byte]]].get\n val coll21 = coll20(placeholder[Int](8))\n val coll22 = SELF.R8[Coll[Long]].get\n val l23 = coll22(placeholder[Int](9))\n val opt24 = SELF.R7[Coll[Byte]]\n val coll25 = tuple15._1\n val bool26 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](10))._1 == coll2(\n placeholder[Int](11)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, tuple17._1 == coll25, coll6.size == placeholder[Int](12), box5.value == box1.value, box5.R5[\n Coll[Coll[Byte]]\n ] == box1.R5[Coll[Coll[Byte]]], box5.R6[Coll[Byte]] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool27 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool28 = l4 + placeholder[Long](13) == l8\n val bool29 = allOf(Coll[Boolean](bool28, bool14, bool19))\n val bool30 = allOf(Coll[Boolean](bool9, bool14, l16 - placeholder[Long](14) == l18))\n val bool31 = allOf(Coll[Boolean](bool9, bool14, l16 + placeholder[Long](15) == l18))\n if (allOf(Coll[Boolean](bool9, bool14, bool19))) { placeholder[SigmaProp](16) } else {\n if (allOf(Coll[Boolean](l4 - placeholder[Long](17) == l8, bool14, bool19))) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val coll33 = box32.R4[Coll[Long]].get\n val tuple34 = box32.tokens(placeholder[Int](19))\n val box35 = OUTPUTS(placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n coll33(placeholder[Int](21)) > placeholder[Long](22), coll33(placeholder[Int](23)) - HEIGHT.toLong > placeholder[Long](24), coll33(\n placeholder[Int](25)\n ) >= placeholder[Long](26), coll33(placeholder[Int](27)) > placeholder[Long](28), tuple34._1 == box1.id, tuple34._2 == placeholder[Long](\n 29\n ), box32.value == placeholder[Long](30)\n )\n ), allOf(Coll[Boolean](blake2b256(box32.propositionBytes) == coll21, box35.value >= l23, box35.propositionBytes == opt24.get)), bool26, bool27\n )\n )\n )\n )} else { if (allOf(Coll[Boolean](bool28, l11 - placeholder[Long](31) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](32))\n val coll33 = box32.tokens\n val coll34 = SELF.tokens\n val box35 = OUTPUTS(placeholder[Int](33))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](34))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll33(placeholder[Int](35))._1 == coll34(placeholder[Int](36))._1, blake2b256(box32.propositionBytes) == coll21)), allOf(Coll[Boolean](blake2b256(box35.propositionBytes) == coll20(placeholder[Int](37)), tuple37._1 == coll34(placeholder[Int](38))._1, tuple37._2 == placeholder[Long](39), coll36(placeholder[Int](40)) == coll33(placeholder[Int](41)))), bool26, bool27)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](42) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](43))\n val coll33 = box32.R9[Coll[Long]].get\n if ((box32.R4[Coll[Long]].get(placeholder[Int](44)) == placeholder[Long](45)) || allOf(Coll[Boolean](coll33(placeholder[Int](46)) < HEIGHT.toLong, box32.value < coll33(placeholder[Int](47))))) { sigmaProp(bool26 && bool27) } else {(\n val box34 = OUTPUTS(placeholder[Int](48))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box34.propositionBytes == opt24.get, box34.tokens(placeholder[Int](49))._2 == coll33(placeholder[Int](50)) * coll22(placeholder[Int](51)) / placeholder[Long](52))), bool26, bool27)))\n )}\n )} else { if (bool29) { sigmaProp(allOf(Coll[Boolean](bool26, bool27, bool29))) } else { if (bool30) {(\n val coll32 = INPUTS(placeholder[Int](53)).tokens\n val box33 = OUTPUTS(placeholder[Int](54))\n val coll34 = box33.tokens\n val bool35 = box33.R6[Long].get == placeholder[Long](55)\n val box36 = OUTPUTS(placeholder[Int](56))\n sigmaProp(allOf(Coll[Boolean](coll32(placeholder[Int](57))._1 == SELF.tokens(placeholder[Int](58))._1, allOf(Coll[Boolean](box33.value == placeholder[Long](59), coll34(placeholder[Int](60))._1 == coll25, bool35, box36.value >= l23, box36.propositionBytes == opt24.get, box33.R4[Coll[Byte]].get == coll32(placeholder[Int](61))._1, box33.R5[Coll[Byte]].get == coll34(placeholder[Int](62))._1, bool35)), bool26, bool27, bool30)))\n )} else { if (bool31) { sigmaProp(allOf(Coll[Boolean](bool31, bool26, bool27))) } else { sigmaProp(placeholder[Boolean](63)) } } } } } }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "18dc4c1da4a0a91c08c0b7b85ccd46e0b2ab91396b38c8216406959356805e3b",
"index": 0,
"amount": 1,
"name": "Exle: SLT Config Box V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a624c7e51ffae8f16fe024d8556faf47aac1c7fcaa7f584b95e9784e6426f630",
"index": 1,
"amount": 9999999997,
"name": "Exle: SLT LoanBox Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "302e93e8a379fb7bd750567947d0a396f2b138b51781e743457ee206e5b8ecc0",
"index": 2,
"amount": 9999999962,
"name": "Exle: SLT RepaymentBox Token V1.3",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "52cdac4eaeeade5c52056b1a5e6ccb5d5c04f81988b15afa27b93dd3b56d4cf9",
"index": 3,
"amount": 9999999997,
"name": "Exle: SLT CrowdFund Token V1.3",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a022015133f2f355f4b8564dc88536968363e23377ac95d883f86a522d395f1d9ff37202f918f613dfd33193cbf8cd59f8174ea7cb993fd6b29f02b71f3e58d1f700efd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[15133f2f355f4b8564dc88536968363e23377ac95d883f86a522d395f1d9ff37,2f918f613dfd33193cbf8cd59f8174ea7cb993fd6b29f02b71f3e58d1f700efd]"
},
"R6": {
"serializedValue": "0e6645786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e",
"sigmaType": "Coll[SByte]",
"renderedValue": "45786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e"
},
"R8": {
"serializedValue": "110290038084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[200,100000000]"
},
"R7": {
"serializedValue": "0e240008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c"
},
"R4": {
"serializedValue": "110290887802",
"sigmaType": "Coll[SLong]",
"renderedValue": "[983560,1]"
}
}
},
{
"boxId": "c273d9715ef398026411a8e493c7975a9309c485164b5c242318acdcd981b247",
"value": 41760,
"index": 1,
"spendingProof": "8792265601c09ca41b704248ba26ff8eaee23d092a7b5c4d838a649d31636d9ae82d921c45de1972fe813be03693aa01db35ec3f401fcb1c",
"outputBlockId": "c4500c7c2103ef7a5f5db47050cbece2451cb5bf5eafc64c08e5a859fb9ffa48",
"outputTransactionId": "69372a8bf2726351c61ad2992c08030d83502b84c50d5b42352b0fc8fafaec5c",
"outputIndex": 5,
"outputGlobalIndex": 49655115,
"outputCreatedAt": 1598887,
"outputSettledAt": 1598888,
"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
"assets": [
{
"tokenId": "f0cac602d618081f46db086726d3c4da53006b646b50e382989054dcf3c93bd8",
"index": 0,
"amount": 1979355815,
"name": "FAKU",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "fc6d969bb42da981995331962566846572d266c16c09ec0a2ef0ac3c4c9ff346",
"value": 52920,
"index": 2,
"spendingProof": "b01a71bdeb38dca5c149e5fb90af4782a15176c505ab1520105d5e4f0a8bf9b45e90e0ecaab8aef78fe2aab95df78574379f3405597ae07a",
"outputBlockId": "5e52037aa3276fdb9ea65b38498cfe418a30ffa1495b5432ea43c1b9aa98b458",
"outputTransactionId": "26793845229464d9d4771121a308d7829753baefe14b3af91cdef276e5ef7e81",
"outputIndex": 3,
"outputGlobalIndex": 49655232,
"outputCreatedAt": 1598896,
"outputSettledAt": 1598897,
"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
"assets": [
{
"tokenId": "c0bfa5ebb35e9f12d072ed938349d938cb0fd07cb25da7df1de21c9113cb58db",
"index": 0,
"amount": 40,
"name": "Man-Hour",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d86911596ea960781bdd2e8a5c22081e8cd3751e6fe7540d53d303250d6a1390",
"index": 1,
"amount": 1119090,
"name": "🃏",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8dfab3812e1cdb0a1069a794b3c5e8d1c1578cf8f314c75fea90c00d50a3e270",
"value": 136080,
"index": 3,
"spendingProof": "458c9fa442e7437863e352c6c881c90e5d1de5c2c31b832f640dfcf68788ebd6a2070ba50777be7ff79380e1dee72c23c7b18ec1ebbe6dee",
"outputBlockId": "1487009b80bbc7d8df4e501b64e4d1b945861328d76ffdf568adbf14a9cdc4af",
"outputTransactionId": "a553a972c153f08c31eb0adee08d52432a48ee52d6cff6c82f1c526161e8f483",
"outputIndex": 5,
"outputGlobalIndex": 49655636,
"outputCreatedAt": 1598914,
"outputSettledAt": 1598915,
"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
"assets": [
{
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{
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f65209f6be5eb1f89948cbbf7941725c98a5255e8f24ac6f98ac906ed14b645c",
"transactionId": "10cda66ebc91533b65d8888b3e297720b1de07a3159b4a9af5b1e00998a0f4fb",
"blockId": "5aa432e8b18831119a8613f1fd0a947848d135167f5509923c24e1acdbae8a97",
"value": 1000000,
"index": 0,
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"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 0\n9: 1\n10: 0\n11: 0\n12: 4\n13: 1\n14: 1\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n17: 1\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 3\n28: 0\n29: 1\n30: 1474560\n31: 1\n32: 1\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 1\n43: 1\n44: 2\n45: 0\n46: 3\n47: 1\n48: 1\n49: 0\n50: 2\n51: 0\n52: 1000\n53: 1\n54: 2\n55: 0\n56: 3\n57: 0\n58: 1\n59: 4000000\n60: 0\n61: 1\n62: 1\n63: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val l8 = tuple7._2\n val bool9 = l4 == l8\n val tuple10 = coll2(placeholder[Int](4))\n val l11 = tuple10._2\n val tuple12 = coll6(placeholder[Int](5))\n val l13 = tuple12._2\n val bool14 = l11 == l13\n val tuple15 = coll2(placeholder[Int](6))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](7))\n val l18 = tuple17._2\n val bool19 = l16 == l18\n val coll20 = SELF.R5[Coll[Coll[Byte]]].get\n val coll21 = coll20(placeholder[Int](8))\n val coll22 = SELF.R8[Coll[Long]].get\n val l23 = coll22(placeholder[Int](9))\n val opt24 = SELF.R7[Coll[Byte]]\n val coll25 = tuple15._1\n val bool26 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](10))._1 == coll2(\n placeholder[Int](11)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, tuple17._1 == coll25, coll6.size == placeholder[Int](12), box5.value == box1.value, box5.R5[\n Coll[Coll[Byte]]\n ] == box1.R5[Coll[Coll[Byte]]], box5.R6[Coll[Byte]] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool27 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool28 = l4 + placeholder[Long](13) == l8\n val bool29 = allOf(Coll[Boolean](bool28, bool14, bool19))\n val bool30 = allOf(Coll[Boolean](bool9, bool14, l16 - placeholder[Long](14) == l18))\n val bool31 = allOf(Coll[Boolean](bool9, bool14, l16 + placeholder[Long](15) == l18))\n if (allOf(Coll[Boolean](bool9, bool14, bool19))) { placeholder[SigmaProp](16) } else {\n if (allOf(Coll[Boolean](l4 - placeholder[Long](17) == l8, bool14, bool19))) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val coll33 = box32.R4[Coll[Long]].get\n val tuple34 = box32.tokens(placeholder[Int](19))\n val box35 = OUTPUTS(placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n coll33(placeholder[Int](21)) > placeholder[Long](22), coll33(placeholder[Int](23)) - HEIGHT.toLong > placeholder[Long](24), coll33(\n placeholder[Int](25)\n ) >= placeholder[Long](26), coll33(placeholder[Int](27)) > placeholder[Long](28), tuple34._1 == box1.id, tuple34._2 == placeholder[Long](\n 29\n ), box32.value == placeholder[Long](30)\n )\n ), allOf(Coll[Boolean](blake2b256(box32.propositionBytes) == coll21, box35.value >= l23, box35.propositionBytes == opt24.get)), bool26, bool27\n )\n )\n )\n )} else { if (allOf(Coll[Boolean](bool28, l11 - placeholder[Long](31) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](32))\n val coll33 = box32.tokens\n val coll34 = SELF.tokens\n val box35 = OUTPUTS(placeholder[Int](33))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](34))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll33(placeholder[Int](35))._1 == coll34(placeholder[Int](36))._1, blake2b256(box32.propositionBytes) == coll21)), allOf(Coll[Boolean](blake2b256(box35.propositionBytes) == coll20(placeholder[Int](37)), tuple37._1 == coll34(placeholder[Int](38))._1, tuple37._2 == placeholder[Long](39), coll36(placeholder[Int](40)) == coll33(placeholder[Int](41)))), bool26, bool27)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](42) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](43))\n val coll33 = box32.R9[Coll[Long]].get\n if ((box32.R4[Coll[Long]].get(placeholder[Int](44)) == placeholder[Long](45)) || allOf(Coll[Boolean](coll33(placeholder[Int](46)) < HEIGHT.toLong, box32.value < coll33(placeholder[Int](47))))) { sigmaProp(bool26 && bool27) } else {(\n val box34 = OUTPUTS(placeholder[Int](48))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box34.propositionBytes == opt24.get, box34.tokens(placeholder[Int](49))._2 == coll33(placeholder[Int](50)) * coll22(placeholder[Int](51)) / placeholder[Long](52))), bool26, bool27)))\n )}\n )} else { if (bool29) { sigmaProp(allOf(Coll[Boolean](bool26, bool27, bool29))) } else { if (bool30) {(\n val coll32 = INPUTS(placeholder[Int](53)).tokens\n val box33 = OUTPUTS(placeholder[Int](54))\n val coll34 = box33.tokens\n val bool35 = box33.R6[Long].get == placeholder[Long](55)\n val box36 = OUTPUTS(placeholder[Int](56))\n sigmaProp(allOf(Coll[Boolean](coll32(placeholder[Int](57))._1 == SELF.tokens(placeholder[Int](58))._1, allOf(Coll[Boolean](box33.value == placeholder[Long](59), coll34(placeholder[Int](60))._1 == coll25, bool35, box36.value >= l23, box36.propositionBytes == opt24.get, box33.R4[Coll[Byte]].get == coll32(placeholder[Int](61))._1, box33.R5[Coll[Byte]].get == coll34(placeholder[Int](62))._1, bool35)), bool26, bool27, bool30)))\n )} else { if (bool31) { sigmaProp(allOf(Coll[Boolean](bool31, bool26, bool27))) } else { sigmaProp(placeholder[Boolean](63)) } } } } } }\n }\n}",
"address": "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",
"assets": [
{
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"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27), box23.value == placeholder[Long](28))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](29)) == l7 + l48, coll47(placeholder[Int](30)) == l48, coll47(placeholder[Int](31)) == l27 + coll6(placeholder[Int](32))\n )\n ), bool14, coll24(placeholder[Int](33)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](34))._2 < l7 } else { placeholder[Boolean](35) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](36)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](39)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](40), i42 > placeholder[Int](41)))) { sigmaProp(if (i41 > placeholder[Int](42)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](43)), tuple28 == coll24(placeholder[Int](44)), coll1.getOrElse(placeholder[Int](45), tuple4) == coll24.getOrElse(placeholder[Int](46), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](47) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](48), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](49)))) }\n )} } } }\n }\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.3",
"decimals": 0,
"type": "EIP-004"
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{
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"name": null,
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"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105c80180e9c50114c0d1028084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,1620544,10,21600,100000000]"
},
"R5": {
"serializedValue": "1a020474657374026161",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[74657374,6161]"
},
"R6": {
"serializedValue": "0e240008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5fc9dd8b4bc0ae385e8af2f04d8137faf21017b52bbb4f2c62e9527e42caf9a0"
}
},
"spentTransactionId": "7ca1132728e567c032cd1f95e8a77fa677d35e0d1d80d9026d46eaf3a4238db8",
"mainChain": true
},
{
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"transactionId": "10cda66ebc91533b65d8888b3e297720b1de07a3159b4a9af5b1e00998a0f4fb",
"blockId": "5aa432e8b18831119a8613f1fd0a947848d135167f5509923c24e1acdbae8a97",
"value": 100000000,
"index": 2,
"globalIndex": 49656802,
"creationHeight": 1598944,
"settlementHeight": 1598946,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
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"blockId": "5aa432e8b18831119a8613f1fd0a947848d135167f5509923c24e1acdbae8a97",
"value": 1000000,
"index": 3,
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"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)}",
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{
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"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
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"name": "FAKU",
"decimals": 2,
"type": "EIP-004"
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"name": "Man-Hour",
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"type": "EIP-004"
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