Transaction
ID: 5ac0166664...357a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 469,366
Total coins transferred: 0.003 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001144 ERG
Raw Transaction Data
{
"id": "5ac016666499a8bce8be9b2da57664348179d9e044ec94cc2d0e9cd2564f357a",
"blockId": "b1bdf59d6704c7268ea6777f127421b948f9fcae53a2d1a5853853e089ebea43",
"inclusionHeight": 1293951,
"timestamp": 1719284698857,
"index": 2,
"globalIndex": 7397743,
"numConfirmations": 469366,
"inputs": [
{
"boxId": "1c5cf3a2b8917a7c21d227a04fa8a7f0f940bff97ecb04d8a2c9235426a0be88",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2bc19b0f2a90b94ec5c624a2da8c649662e9a34a979b8df59489aec6761fd4a7",
"outputTransactionId": "444cf7988bf8f7b1c7a806fee1ed35c61c8543817981c8e1cecc877d2567f69a",
"outputIndex": 0,
"outputGlobalIndex": 41031080,
"outputCreatedAt": 1293682,
"outputSettledAt": 1293684,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-110,62,116,-58,39,34,96,98,61,100,-38,106,34,126,-43,1,111,75,27,-19,-19,42,21,87,117,-34,71,-35,57,-85,101,17)\n1: 0\n2: Coll(104,19,-9,-36,-43,42,101,47,-80,89,-10,76,96,16,-11,127,-86,123,67,41,-45,8,-49,92,-67,-103,5,90,85,-91,78,-126)\n3: 0\n4: Coll(55,53,35,3,97,121,-77,94,92,-82,-19,-22,76,1,36,-110,40,-84,-6,96,-9,-8,77,-120,-70,85,3,126,46,-50,37,36)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 1000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 30000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 1\n49: 0\n50: 0\n51: 0\n52: 0\n53: 6000\n54: 0\n55: 1000\n56: 500\n57: 1\n58: 0\n59: 1\n60: 1\n61: 1\n62: false\n63: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n val coll33 = coll17.slice(placeholder[Int](18), i32)\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n }))) && coll31.forall({(box34: Box) =>\n val coll36 = box34.tokens\n ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](31))\n val tuple32 = box31.tokens(placeholder[Int](32))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](33))\n val tuple36 = box35.tokens(placeholder[Int](34))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && ((coll12(placeholder[Int](46)) == placeholder[Long](47)) && (coll12(placeholder[Int](48)) == placeholder[Long](49)))) && (l14 == placeholder[Long](50))) && (l16 == placeholder[Long](51))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](52))\n if ((l19 > placeholder[Long](53)) && (coll17(placeholder[Int](54)) * placeholder[Long](55) / l19 > placeholder[Long](56))) {(\n val box32 = OUTPUTS(placeholder[Int](57))\n val tuple33 = box32.tokens(placeholder[Int](58))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](59)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](60), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](61)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](62) && (HEIGHT > placeholder[Int](63)) } } } })\n}",
"address": "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",
"assets": [
{
"tokenId": "0d079cecafb80aaab44eb9e01e36d179e957a11f6ddd6fdfbfe1b5ca2219d2c4",
"index": 0,
"amount": 8999999099999998,
"name": "counter token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R6": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05b6fa9d01",
"sigmaType": "SLong",
"renderedValue": "1293979"
}
}
},
{
"boxId": "25be50d6952f0eb1ce917ef7d05f1c813eb005059130f6333eb8b1be8d8972b2",
"value": 2000000,
"index": 1,
"spendingProof": "1ebe151bfe36a3275654b1c775e41a6b7a8038f8fda4cef991faa0a0474d59fb0eadfe1e4843f3a3970d1238a1811e6493a81047da2b8092",
"outputBlockId": "36ef14baae45d79c67cd3e41c6266ae9972a9c0d117467c8796acf6c334235a0",
"outputTransactionId": "b2194f24a48a076ae2698f751ef26617593048d811bdff34aea2031edb095780",
"outputIndex": 0,
"outputGlobalIndex": 41040520,
"outputCreatedAt": 1293938,
"outputSettledAt": 1293940,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604d904ea027300d192a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n1: -301",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT >= placeholder[Int](1))}",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P17nEApRu7v2mHQt6qNMBm3",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "796518c0e58ccea5a226c1e0ef5fbb983c219c72a4c74f53ef685553a3167fd9",
"value": 1000000,
"index": 0,
"outputBlockId": "36ef14baae45d79c67cd3e41c6266ae9972a9c0d117467c8796acf6c334235a0",
"outputTransactionId": "4ca8a3e30e3282092e1282969d09b3e60d31937bc856a8515efd63de753a880a",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96049103ea027300d192a37301",
"address": "FKdvshkgUUFzdDZEEPVPCDdpRbY7cK99x4sAfJuaqmStCkbwx1P15mPaAcHUTqgpcV5B8uzxA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "11040264e017880e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,50,1520,900]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
}
],
"outputs": [
{
"boxId": "1837b62005e70b74dea5c3611634b33060109aab714e7aa40bccf5fa4bca9590",
"transactionId": "5ac016666499a8bce8be9b2da57664348179d9e044ec94cc2d0e9cd2564f357a",
"blockId": "b1bdf59d6704c7268ea6777f127421b948f9fcae53a2d1a5853853e089ebea43",
"value": 1000000,
"index": 0,
"globalIndex": 41040832,
"creationHeight": 1293938,
"settlementHeight": 1293951,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-110,62,116,-58,39,34,96,98,61,100,-38,106,34,126,-43,1,111,75,27,-19,-19,42,21,87,117,-34,71,-35,57,-85,101,17)\n1: 0\n2: Coll(104,19,-9,-36,-43,42,101,47,-80,89,-10,76,96,16,-11,127,-86,123,67,41,-45,8,-49,92,-67,-103,5,90,85,-91,78,-126)\n3: 0\n4: Coll(55,53,35,3,97,121,-77,94,92,-82,-19,-22,76,1,36,-110,40,-84,-6,96,-9,-8,77,-120,-70,85,3,126,46,-50,37,36)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 1000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 30000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 1\n49: 0\n50: 0\n51: 0\n52: 0\n53: 6000\n54: 0\n55: 1000\n56: 500\n57: 1\n58: 0\n59: 1\n60: 1\n61: 1\n62: false\n63: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n val coll33 = coll17.slice(placeholder[Int](18), i32)\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n }))) && coll31.forall({(box34: Box) =>\n val coll36 = box34.tokens\n ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](31))\n val tuple32 = box31.tokens(placeholder[Int](32))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](33))\n val tuple36 = box35.tokens(placeholder[Int](34))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && ((coll12(placeholder[Int](46)) == placeholder[Long](47)) && (coll12(placeholder[Int](48)) == placeholder[Long](49)))) && (l14 == placeholder[Long](50))) && (l16 == placeholder[Long](51))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](52))\n if ((l19 > placeholder[Long](53)) && (coll17(placeholder[Int](54)) * placeholder[Long](55) / l19 > placeholder[Long](56))) {(\n val box32 = OUTPUTS(placeholder[Int](57))\n val tuple33 = box32.tokens(placeholder[Int](58))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](59)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](60), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](61)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](62) && (HEIGHT > placeholder[Int](63)) } } } })\n}",
"address": "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",
"assets": [
{
"tokenId": "0d079cecafb80aaab44eb9e01e36d179e957a11f6ddd6fdfbfe1b5ca2219d2c4",
"index": 0,
"amount": 8999999099999998,
"name": "counter token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1105000264e017880e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,50,1520,900]"
},
"R6": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R8": {
"serializedValue": "0580cab5ee01",
"sigmaType": "SLong",
"renderedValue": "250000000"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05b6fa9d01",
"sigmaType": "SLong",
"renderedValue": "1293979"
}
},
"spentTransactionId": "cf9c3ccbfc84e3f15ebc2d313dc1aeed2d06e267ee6c0c583324a0b9d8fb6f17",
"mainChain": true
},
{
"boxId": "7ea4dec35e01293d0f0c9fbcaef6d170507bcc9d98b16919b27de8b69cc7794c",
"transactionId": "5ac016666499a8bce8be9b2da57664348179d9e044ec94cc2d0e9cd2564f357a",
"blockId": "b1bdf59d6704c7268ea6777f127421b948f9fcae53a2d1a5853853e089ebea43",
"value": 2000000,
"index": 1,
"globalIndex": 41040833,
"creationHeight": 1293938,
"settlementHeight": 1293951,
"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": "012d6e09525a7bcc7be8908f05788647b32f96b1701da6926846bd88b34f30e0",
"mainChain": true
}
],
"size": 1748,
"isUnconfirmed": false
}