Transaction
ID: 034d0d14e1...5f9e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01075 ERG
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 582,151
Total coins transferred: 0.011 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000474 ERG
Raw Transaction Data
{
"id": "034d0d14e14baade5d7b0f7cc112b4be77ad82f079cc6f9bfaabe131e52f5f9e",
"blockId": "0bb04c430886a64fb762c5148023a1122fd67b3f4c641f346bad2de55bc19207",
"inclusionHeight": 1179118,
"timestamp": 1705392296134,
"index": 24,
"globalIndex": 6478147,
"numConfirmations": 582151,
"inputs": [
{
"boxId": "eec1f694f6538f3fc226a22620bc4edbfb43728453bcd04f0241431a1ab107db",
"value": 250000,
"index": 0,
"spendingProof": "08848ddf7d6c50b6e2b1cb8a758b8bcedfca99d7a1b0b64450b2afbdea318ba2d9365ee161b7148fadb6da6da8e98f9ec00b9b8422697d3f",
"outputBlockId": "0bb04c430886a64fb762c5148023a1122fd67b3f4c641f346bad2de55bc19207",
"outputTransactionId": "9989a54b829998b4c3c228414b2880f0383fc71553428f7f05855d0b039efd70",
"outputIndex": 0,
"outputGlobalIndex": 36147433,
"outputCreatedAt": 1179116,
"outputSettledAt": 1179118,
"ergoTree": "0008cd0230ae39e8789f50248979c228f2752f0bc2277c9699e93ac10e133c075c7f7246",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(30ae39,df8f89,...)))}",
"address": "9etVzf2G2FtYsnKT187ZYe8HFKkMmVqrNByAAk3ofhm58BswBc5",
"assets": [
{
"tokenId": "ae0e911b5703698183e06172844c5307a18daa9d7478577116087f8ef1d5a00c",
"index": 0,
"amount": 9223372036854776000,
"name": "SN test vault",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0d534e2074657374207661756c74",
"sigmaType": "Coll[SByte]",
"renderedValue": "534e2074657374207661756c74"
},
"R5": {
"serializedValue": "0e10546f6b656e7320666f72205661756c74",
"sigmaType": "Coll[SByte]",
"renderedValue": "546f6b656e7320666f72205661756c74"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "72ba76d8968db5fa109e0e6e33451209f012a203d84caf12b920ea83639a1778",
"value": 10750000,
"index": 1,
"spendingProof": "6d51b89932a7aee7d3725305d76c134e12c73514a0b24e9c79f3e06fee7311e86a0938ad68ac87b0f584e27f2a621193cd1f7060d3cb13a3",
"outputBlockId": "0bb04c430886a64fb762c5148023a1122fd67b3f4c641f346bad2de55bc19207",
"outputTransactionId": "9989a54b829998b4c3c228414b2880f0383fc71553428f7f05855d0b039efd70",
"outputIndex": 1,
"outputGlobalIndex": 36147434,
"outputCreatedAt": 1179116,
"outputSettledAt": 1179118,
"ergoTree": "0008cd0230ae39e8789f50248979c228f2752f0bc2277c9699e93ac10e133c075c7f7246",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(30ae39,df8f89,...)))}",
"address": "9etVzf2G2FtYsnKT187ZYe8HFKkMmVqrNByAAk3ofhm58BswBc5",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "a82f2be69bdf467955ffd47319d53365ef859799f8a4a206aa6c2c1124dbd891",
"transactionId": "034d0d14e14baade5d7b0f7cc112b4be77ad82f079cc6f9bfaabe131e52f5f9e",
"blockId": "0bb04c430886a64fb762c5148023a1122fd67b3f4c641f346bad2de55bc19207",
"value": 10000000,
"index": 0,
"globalIndex": 36147451,
"creationHeight": 1179116,
"settlementHeight": 1179118,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 1\n3: 2\n4: 0\n5: 0\n6: 1\n7: Coll(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,-84)\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 0\n14: 0\n15: Coll(1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 16\n23: 0\n24: 66\n25: 73\n26: 80\n27: 48\n28: 51\n29: 52\n30: 48\n31: 47\n32: 99\n33: 104\n34: 97\n35: 108\n36: 108\n37: 101\n38: 110\n39: 103\n40: 101\n41: 0\n42: 1\n43: 1\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: 0\n61: 0\n62: 0\n63: 0\n64: 0\n65: 0\n66: 0\n67: 0\n68: 1\n69: 1\n70: 16\n71: 0\n72: 1\n73: 16\n74: 0\n75: 1\n76: 1",
"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 box7 = INPUTS(placeholder[Int](4))\n val l8 = getVar[Long](8.toByte).get\n val box9 = OUTPUTS(placeholder[Int](5))\n val coll10 = box7.tokens\n sigmaProp(\n (\n (\n (\n (\n ((HEIGHT >= i4 + i5 - placeholder[Int](6) * i6) && (HEIGHT < i4 + i5 * i6)) && coll1.zip(box7.R4[Coll[Coll[Byte]]].get).forall(\n {(tuple11: (Box, Coll[Byte])) => tuple11._1.id == tuple11._2 }\n )\n ) && (\n OUTPUTS.map({(box11: Box) => if (box11.propositionBytes == placeholder[Coll[Byte]](7)) { box11.value } else { placeholder[Long](8) } }).fold(\n placeholder[Long](9), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }\n ) <= l8\n )\n ) && (box9.propositionBytes == SELF.propositionBytes)\n ) && (\n ((coll10.size > placeholder[Int](10)) && (coll10(placeholder[Int](11))._1 == getVar[Coll[Byte]](4.toByte).get)) && (\n coll10(placeholder[Int](12))._2 == box9.tokens(placeholder[Int](13))._2\n )\n )\n ) && if (box7.value > box9.value) {(\n val coll11 = getVar[Coll[(Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))]](2.toByte).get\n val coll12 = coll11.zip(coll11.indices)\n val coll13 = getVar[Coll[Byte]](6.toByte).get\n val func14 = {(tuple14: (GroupElement, (Coll[Byte], Int))) =>\n val ge16 = tuple14._1\n val tuple17 = tuple14._2\n val coll18 = tuple17._1\n val i19 = tuple17._2\n ge16.exp(byteArrayToBigInt(coll18.slice(placeholder[Int](14), i19))).exp(byteArrayToBigInt(placeholder[Coll[Byte]](15))).multiply(\n ge16.exp(byteArrayToBigInt(coll18.slice(i19, coll18.size)))\n )\n }\n val ge15 = box2.R7[GroupElement].get\n val ge16 = box2.R8[GroupElement].get\n val coll17 = getVar[Coll[((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))]](0.toByte).get\n val tuple18 = (ge16, placeholder[Int](16))\n val coll19 = coll1.slice(placeholder[Int](17), coll3(placeholder[Int](18))).fold(\n Coll[GroupElement](), {(tuple19: (Coll[GroupElement], Box)) => tuple19._1.append(tuple19._2.R4[Coll[GroupElement]].get) }\n )\n val func20 = {(coll20: Coll[Byte]) =>\n if (coll20(placeholder[Int](19)).toInt < placeholder[Int](20)) { Coll[Byte](placeholder[Byte](21)).append(coll20) } else { coll20 }\n }\n val coll21 = coll19.indices.map({(i21: Int) => {(tuple23: (Coll[GroupElement], Int)) =>\n val coll25 = blake2b256(box2.R9[Coll[Byte]].get.append(tuple23._1(tuple23._2).getEncoded))\n val i26 = coll25.size\n val i27 = i26 - placeholder[Int](22)\n val coll28 = func20(coll25.slice(placeholder[Int](23), i27))\n (coll28.append(func20(coll25.slice(i27, i26))), coll28.size)\n }((coll19, i21)) })\n val ge22 = getVar[GroupElement](1.toByte).get\n val coll23 = sha256(\n Coll[Int](\n placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](27), placeholder[Int](28), placeholder[Int](29), placeholder[Int](\n 30\n ), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](34), placeholder[Int](35), placeholder[Int](36), placeholder[\n Int\n ](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40)\n ).map({(i23: Int) => i23.toByte })\n )\n (\n (\n (\n (\n (coll11.size > placeholder[Int](41)) && (\n blake2b256(\n getVar[AvlTree](7.toByte).get.insert(\n coll12.map(\n {(tuple24: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Int)) =>\n (longToByteArray(tuple24._2 + placeholder[Int](42).toLong), {(tuple26: (Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))) =>\n val tuple28 = tuple26._2\n blake2b256(longToByteArray(tuple26._1).append(tuple28._1).append(tuple28._2.fold(Coll[Byte](), {(tuple29: (Coll[Byte], (Coll[Byte], Long))) =>\n val tuple31 = tuple29._2\n tuple29._1.append(tuple31._1).append(longToByteArray(tuple31._2))\n })))\n }(tuple24._1))\n }\n ).append(\n Coll[(Coll[Byte], Coll[Byte])](\n (\n longToByteArray(coll12.size.toLong + placeholder[Long](43)), longToByteArray(l8).append(\n Coll[Int](\n placeholder[Int](44), placeholder[Int](45), placeholder[Int](46), placeholder[Int](47), placeholder[Int](48), placeholder[Int](\n 49\n ), placeholder[Int](50), placeholder[Int](51), placeholder[Int](52), placeholder[Int](53), placeholder[Int](54), placeholder[Int](\n 55\n ), placeholder[Int](56), placeholder[Int](57), placeholder[Int](58), placeholder[Int](59), placeholder[Int](60), placeholder[Int](\n 61\n ), placeholder[Int](62), placeholder[Int](63), placeholder[Int](64), placeholder[Int](65), placeholder[Int](66), placeholder[Int](\n 67\n )\n ).map({(i24: Int) => i24.toByte })\n )\n )\n )\n ), getVar[Coll[Byte]](3.toByte).get\n ).get.digest\n ) == coll13\n )\n ) && (\n func14((ge15, getVar[(Coll[Byte], Int)](5.toByte).get)).multiply(\n {(coll24: Coll[GroupElement]) => coll24.fold(ge16, {(tuple26: (GroupElement, GroupElement)) => tuple26._1.multiply(tuple26._2) }) }(\n coll17.map({(tuple24: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple24._1._2._1 })\n )\n ) == func14(({(tuple24: ((Coll[GroupElement], Coll[Int]), Coll[(Coll[Byte], Int)])) =>\n val tuple26 = tuple24._1\n tuple26._1.fold(tuple18, {(tuple27: ((GroupElement, Int), GroupElement)) =>\n val tuple29 = tuple27._1\n val i30 = tuple29._2\n val ge31 = tuple29._1\n if (tuple26._2.exists({(i32: Int) => i32 == i30 })) { (ge31, i30 + placeholder[Int](68)) } else { (ge31.multiply(func14((tuple27._2, tuple24._2(i30)))), i30 + placeholder[Int](69)) }\n })._1\n }(((coll19, coll17.map({(tuple24: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple24._1._1 })), coll21)), {(coll24: Coll[Byte]) =>\n val i26 = coll24.size\n val i27 = i26 - placeholder[Int](70)\n val coll28 = func20(coll24.slice(placeholder[Int](71), i27))\n (coll28.append(func20(coll24.slice(i27, i26))), coll28.size)\n }(blake2b256({(tuple24: (Coll[GroupElement], Coll[(Coll[Byte], Int)])) => tuple24._1.fold(tuple18, {(tuple26: ((GroupElement, Int), GroupElement)) =>\n val tuple28 = tuple26._1\n val i29 = tuple28._2\n (tuple28._1.multiply(func14((tuple26._2, tuple24._2(i29)))), i29 + placeholder[Int](72))\n })._1 }((coll19, coll21)).getEncoded.append(ge22.getEncoded).append(coll13))))).multiply(ge22)\n )\n ) && coll17.forall({(tuple24: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) =>\n val tuple26 = tuple24._2\n val tuple27 = tuple24._1._2\n val tuple28 = tuple26._2\n val coll29 = sha256(coll23.append(coll23).append(tuple28._2).append(tuple27._2).append(coll13))\n val i30 = coll29.size\n val i31 = i30 - placeholder[Int](73)\n val coll32 = func20(coll29.slice(placeholder[Int](74), i31))\n func14((ge15, tuple26._1)) == func14((tuple27._1, (coll32.append(func20(coll29.slice(i31, i30))), coll32.size))).multiply(tuple28._1)\n })\n ) && (coll19.size - coll17.size >= getVar[Int](9.toByte).get)\n ) && coll11.zip(OUTPUTS.slice(placeholder[Int](75), OUTPUTS.size - placeholder[Int](76))).forall(\n {(tuple24: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Box)) =>\n val box26 = tuple24._2\n val tuple27 = tuple24._1\n val tuple28 = tuple27._2\n val coll29 = tuple28._2\n (((box26.value == tuple27._1) && (box26.propositionBytes == tuple28._1)) && (box26.tokens.size == coll29.size)) && box26.tokens.zip(coll29).forall(\n {(tuple30: ((Coll[Byte], Long), (Coll[Byte], Long))) => tuple30._1 == tuple30._2 }\n )\n }\n )\n )} else { coll10.zip(box9.tokens).forall({(tuple11: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple13 = tuple11._1\n val tuple14 = tuple11._2\n (tuple13._1 == tuple14._1) && (tuple13._2 <= tuple14._2)\n }) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "ae0e911b5703698183e06172844c5307a18daa9d7478577116087f8ef1d5a00c",
"index": 0,
"amount": 9223372036854776000,
"name": "SN test vault",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120512dc7a13e1ed7b3945503e34b36da600fd5872b7407c79fd572d803b3d0062c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[512dc7a13e1ed7b3945503e34b36da600fd5872b7407c79fd572d803b3d0062c]"
}
},
"spentTransactionId": "4c94549fb3c06c3e28585aabe35f84956b70c477188d4c8e54633f71ba0960fe",
"mainChain": true
},
{
"boxId": "225e4ac93f017b987baa661f7c274dc0776a96945af3522fd95d71155bf2f58d",
"transactionId": "034d0d14e14baade5d7b0f7cc112b4be77ad82f079cc6f9bfaabe131e52f5f9e",
"blockId": "0bb04c430886a64fb762c5148023a1122fd67b3f4c641f346bad2de55bc19207",
"value": 1000000,
"index": 1,
"globalIndex": 36147452,
"creationHeight": 1179116,
"settlementHeight": 1179118,
"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": "2b96de65c1b9dfacf8ce294cbdb0440a424f6700e1a437afe46c00bc7bd476bb",
"mainChain": true
}
],
"size": 2111,
"isUnconfirmed": false
}