Transaction
ID: 2c4066fb56...20a5
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.91478964 ERG
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.86378964 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 607,016
Total coins transferred: 0.91478964 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000507 ERG
Raw Transaction Data
{
"id": "2c4066fb56e154db4ff60771bf7bd20fabb69cf0fbba79a051e73720796220a5",
"blockId": "9845a0a4cda5372e9c27180d67e2b2af9399219f6ea7e04d317b17e49d9160b5",
"inclusionHeight": 1159772,
"timestamp": 1703041907843,
"index": 2,
"globalIndex": 6294192,
"numConfirmations": 607016,
"inputs": [
{
"boxId": "9753d6bab26028c7d90d750f62282692f1d7b73e81e74ca91ccc378a67a1eb23",
"value": 914789640,
"index": 0,
"spendingProof": "489eead2fd731d1f428b92493d9511e8f75cc27e70b2bdae0e8b31a927e01f3987585e1f5fac1b64b01b6d3b2e69e5964a8a6af9614cd722",
"outputBlockId": "6afe6f555d8fc5013cc3d7edf7e332631d084a8eca45a41f9e9e1766fafba53c",
"outputTransactionId": "5e86886780b1be70fe0d3f426acb2eb7aa86746b8afe77aa51fa1b51848b366e",
"outputIndex": 1,
"outputGlobalIndex": 35181411,
"outputCreatedAt": 1159134,
"outputSettledAt": 1159136,
"ergoTree": "0008cd0230ae39e8789f50248979c228f2752f0bc2277c9699e93ac10e133c075c7f7246",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(30ae39,df8f89,...)))}",
"address": "9etVzf2G2FtYsnKT187ZYe8HFKkMmVqrNByAAk3ofhm58BswBc5",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "dabd922f8a45cf54926cd7c4dc4b901c4dc622f441d3f37e0a9c6176ac99b0a7",
"transactionId": "2c4066fb56e154db4ff60771bf7bd20fabb69cf0fbba79a051e73720796220a5",
"blockId": "9845a0a4cda5372e9c27180d67e2b2af9399219f6ea7e04d317b17e49d9160b5",
"value": 50000000,
"index": 0,
"globalIndex": 35205385,
"creationHeight": 1159770,
"settlementHeight": 1159772,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 1\n3: 2\n4: 0\n5: Coll(1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 16\n13: 0\n14: 66\n15: 73\n16: 80\n17: 48\n18: 51\n19: 52\n20: 48\n21: 47\n22: 99\n23: 104\n24: 97\n25: 108\n26: 108\n27: 101\n28: 110\n29: 103\n30: 101\n31: 0\n32: 1\n33: 0\n34: 1\n35: 1\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: 1\n61: 1\n62: 16\n63: 0\n64: 1\n65: 16\n66: 0\n67: 1\n68: 1\n69: Coll(3,16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18)\n70: 0\n71: 0\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.R6[Coll[Int]].get\n val i4 = coll3(placeholder[Int](1))\n val i5 = coll3(placeholder[Int](2))\n val i6 = coll3(placeholder[Int](3))\n val coll7 = getVar[Coll[(Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))]](2.toByte).get\n val coll8 = coll7.zip(coll7.indices)\n val l9 = getVar[Long](8.toByte).get\n val coll10 = getVar[Coll[Byte]](6.toByte).get\n val func11 = {(tuple11: (GroupElement, (Coll[Byte], Int))) =>\n val ge13 = tuple11._1\n val tuple14 = tuple11._2\n val coll15 = tuple14._1\n val i16 = tuple14._2\n ge13.exp(byteArrayToBigInt(coll15.slice(placeholder[Int](4), i16))).exp(byteArrayToBigInt(placeholder[Coll[Byte]](5))).multiply(\n ge13.exp(byteArrayToBigInt(coll15.slice(i16, coll15.size)))\n )\n }\n val ge12 = box2.R7[GroupElement].get\n val ge13 = box2.R8[GroupElement].get\n val coll14 = getVar[Coll[((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))]](0.toByte).get\n val tuple15 = (ge13, placeholder[Int](6))\n val coll16 = coll1.slice(placeholder[Int](7), coll3(placeholder[Int](8))).fold(\n Coll[GroupElement](), {(tuple16: (Coll[GroupElement], Box)) => tuple16._1.append(tuple16._2.R4[Coll[GroupElement]].get) }\n )\n val func17 = {(coll17: Coll[Byte]) =>\n if (coll17(placeholder[Int](9)).toInt < placeholder[Int](10)) { Coll[Byte](placeholder[Byte](11)).append(coll17) } else { coll17 }\n }\n val coll18 = coll16.indices.map({(i18: Int) => {(tuple20: (Coll[GroupElement], Int)) =>\n val coll22 = blake2b256(box2.R9[Coll[Byte]].get.append(tuple20._1(tuple20._2).getEncoded))\n val i23 = coll22.size\n val i24 = i23 - placeholder[Int](12)\n val coll25 = func17(coll22.slice(placeholder[Int](13), i24))\n (coll25.append(func17(coll22.slice(i24, i23))), coll25.size)\n }((coll16, i18)) })\n val ge19 = getVar[GroupElement](1.toByte).get\n val coll20 = sha256(\n Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30)\n ).map({(i20: Int) => i20.toByte })\n )\n val box21 = INPUTS(placeholder[Int](31))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (((HEIGHT >= i4 + i5 - placeholder[Int](32) * i6) && (HEIGHT < i4 + i5 * i6)) && (coll7.size > placeholder[Int](33))) && (\n blake2b256(\n getVar[AvlTree](7.toByte).get.insert(\n coll8.map(\n {(tuple22: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Int)) =>\n (longToByteArray(tuple22._2 + placeholder[Int](34).toLong), {(tuple24: (Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))) =>\n val tuple26 = tuple24._2\n blake2b256(longToByteArray(tuple24._1).append(tuple26._1).append(tuple26._2.fold(Coll[Byte](), {(tuple27: (Coll[Byte], (Coll[Byte], Long))) =>\n val tuple29 = tuple27._2\n tuple27._1.append(tuple29._1).append(longToByteArray(tuple29._2))\n })))\n }(tuple22._1))\n }\n ).append(\n Coll[(Coll[Byte], Coll[Byte])](\n (\n longToByteArray(coll8.size.toLong + placeholder[Long](35)), longToByteArray(l9).append(\n Coll[Int](\n placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[\n Int\n ](41), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](\n 46\n ), placeholder[Int](47), placeholder[Int](48), placeholder[Int](49), placeholder[Int](50), placeholder[Int](\n 51\n ), placeholder[Int](52), placeholder[Int](53), placeholder[Int](54), placeholder[Int](55), placeholder[Int](\n 56\n ), placeholder[Int](57), placeholder[Int](58), placeholder[Int](59)\n ).map({(i22: Int) => i22.toByte })\n )\n )\n )\n ), getVar[Coll[Byte]](3.toByte).get\n ).get.digest\n ) == coll10\n )\n ) && (\n func11((ge12, getVar[(Coll[Byte], Int)](5.toByte).get)).multiply(\n {(coll22: Coll[GroupElement]) => coll22.fold(ge13, {(tuple24: (GroupElement, GroupElement)) => tuple24._1.multiply(tuple24._2) }) }(\n coll14.map({(tuple22: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple22._1._2._1 })\n )\n ) == func11(({(tuple22: ((Coll[GroupElement], Coll[Int]), Coll[(Coll[Byte], Int)])) =>\n val tuple24 = tuple22._1\n tuple24._1.fold(tuple15, {(tuple25: ((GroupElement, Int), GroupElement)) =>\n val tuple27 = tuple25._1\n val i28 = tuple27._2\n val ge29 = tuple27._1\n if (tuple24._2.exists({(i30: Int) => i30 == i28 })) { (ge29, i28 + placeholder[Int](60)) } else { (ge29.multiply(func11((tuple25._2, tuple22._2(i28)))), i28 + placeholder[Int](61)) }\n })._1\n }(((coll16, coll14.map({(tuple22: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple22._1._1 })), coll18)), {(coll22: Coll[Byte]) =>\n val i24 = coll22.size\n val i25 = i24 - placeholder[Int](62)\n val coll26 = func17(coll22.slice(placeholder[Int](63), i25))\n (coll26.append(func17(coll22.slice(i25, i24))), coll26.size)\n }(blake2b256({(tuple22: (Coll[GroupElement], Coll[(Coll[Byte], Int)])) => tuple22._1.fold(tuple15, {(tuple24: ((GroupElement, Int), GroupElement)) =>\n val tuple26 = tuple24._1\n val i27 = tuple26._2\n (tuple26._1.multiply(func11((tuple24._2, tuple22._2(i27)))), i27 + placeholder[Int](64))\n })._1 }((coll16, coll18)).getEncoded.append(ge19.getEncoded).append(coll10))))).multiply(ge19)\n )\n ) && coll14.forall({(tuple22: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) =>\n val tuple24 = tuple22._2\n val tuple25 = tuple22._1._2\n val tuple26 = tuple24._2\n val coll27 = sha256(coll20.append(coll20).append(tuple26._2).append(tuple25._2).append(coll10))\n val i28 = coll27.size\n val i29 = i28 - placeholder[Int](65)\n val coll30 = func17(coll27.slice(placeholder[Int](66), i29))\n func11((ge12, tuple24._1)) == func11((tuple25._1, (coll30.append(func17(coll27.slice(i29, i28))), coll30.size))).multiply(tuple26._1)\n })\n ) && (coll16.size - coll14.size >= getVar[Int](9.toByte).get)\n ) && coll7.zip(OUTPUTS.slice(placeholder[Int](67), OUTPUTS.size - placeholder[Int](68))).forall(\n {(tuple22: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Box)) =>\n val box24 = tuple22._2\n val tuple25 = tuple22._1\n val tuple26 = tuple25._2\n val coll27 = tuple26._2\n (((box24.value == tuple25._1) && (box24.propositionBytes == tuple26._1)) && (box24.tokens.size == coll27.size)) && box24.tokens.zip(\n coll27\n ).forall({(tuple28: ((Coll[Byte], Long), (Coll[Byte], Long))) => tuple28._1 == tuple28._2 })\n }\n )\n ) && coll1.zip(box21.R7[Coll[Coll[Byte]]].get).forall({(tuple22: (Box, Coll[Byte])) => tuple22._1.id == tuple22._2 })\n ) && (\n OUTPUTS.map({(box22: Box) => if (box22.propositionBytes == placeholder[Coll[Byte]](69)) { box22.value } else { placeholder[Long](70) } }).fold(\n placeholder[Long](71), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ) <= l9\n )\n ) && (OUTPUTS(placeholder[Int](72)).propositionBytes == SELF.propositionBytes)\n ) && (box21.tokens(placeholder[Int](73))._1 == getVar[Coll[Byte]](4.toByte).get)\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9753d6bab26028c7d90d750f62282692f1d7b73e81e74ca91ccc378a67a1eb23",
"index": 0,
"amount": 9223372036854776000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0200",
"sigmaType": "SByte",
"renderedValue": "0"
},
"R5": {
"serializedValue": "0200",
"sigmaType": "SByte",
"renderedValue": "0"
},
"R6": {
"serializedValue": "0200",
"sigmaType": "SByte",
"renderedValue": "0"
},
"R7": {
"serializedValue": "1a012101512dc7a13e1ed7b3945503e34b36da600fd5872b7407c79fd572d803b3d0062c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[01512dc7a13e1ed7b3945503e34b36da600fd5872b7407c79fd572d803b3d0062c]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "888f0ffe559d98c68dfdf222d7c6531aae43206814fdff4e3d64e45c3ac525fc",
"transactionId": "2c4066fb56e154db4ff60771bf7bd20fabb69cf0fbba79a051e73720796220a5",
"blockId": "9845a0a4cda5372e9c27180d67e2b2af9399219f6ea7e04d317b17e49d9160b5",
"value": 863789640,
"index": 1,
"globalIndex": 35205386,
"creationHeight": 1159770,
"settlementHeight": 1159772,
"ergoTree": "0008cd0230ae39e8789f50248979c228f2752f0bc2277c9699e93ac10e133c075c7f7246",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(30ae39,df8f89,...)))}",
"address": "9etVzf2G2FtYsnKT187ZYe8HFKkMmVqrNByAAk3ofhm58BswBc5",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ca14568db9c1f2e73ad0afb528cbae93933f86c1f938065e1939632253c7f845",
"mainChain": true
},
{
"boxId": "67a81e7835892303965f9f44ec81ade00c0d517d77037c962e6e15510e491de7",
"transactionId": "2c4066fb56e154db4ff60771bf7bd20fabb69cf0fbba79a051e73720796220a5",
"blockId": "9845a0a4cda5372e9c27180d67e2b2af9399219f6ea7e04d317b17e49d9160b5",
"value": 1000000,
"index": 2,
"globalIndex": 35205387,
"creationHeight": 1159770,
"settlementHeight": 1159772,
"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",
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"spentTransactionId": "abc86bcb0bc68cbdc836f8bf926f2b74aa3d3ef6dfe15ebdceb7ffce9f9251e4",
"mainChain": true
}
],
"size": 1974,
"isUnconfirmed": false
}