Transaction
ID: e3cd474796...4b9a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.201 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.06 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.059 ERG
Transaction Details
Confirmations: 35,923
Total coins transferred: 0.261 ERG
Fees: 0.002 ERG
Fees per byte: 0.000003752 ERG
Raw Transaction Data
{
"id": "e3cd474796d03969ae45661c50a707248605e90b437bef23189f365978eb4b9a",
"blockId": "e2527bfb324cf1a6b7597b9e3edea3abc9e434ed2ca68de87dfbf6940f84e947",
"inclusionHeight": 1733879,
"timestamp": 1772539838148,
"index": 1,
"globalIndex": 10389644,
"numConfirmations": 35923,
"inputs": [
{
"boxId": "11de9ca202bf168aeda7d94d4ece59ad9891b230f14b9ad324666ddbe085d102",
"value": 201000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "55cf552dedd329b39bf758a31e9e0befe1dd61e4cf68f5568aa7d93b25ea453d",
"outputTransactionId": "7c2bdf01a3e9a36e1fba0f0a26bf56b6121daadf0460dcdacebc5e42d4b40152",
"outputIndex": 0,
"outputGlobalIndex": 53922197,
"outputCreatedAt": 1733875,
"outputSettledAt": 1733877,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 40\n7: 48\n8: 1\n9: 40\n10: 48\n11: 0\n12: 1\n13: 0\n14: 0\n15: 0\n16: 0\n17: 1\n18: 50\n19: 86\n20: true\n21: 0\n22: 2200000\n23: 0\n24: 0\n25: 1\n26: 2\n27: 3\n28: 4\n29: 5\n30: 6\n31: 7\n32: 8\n33: 9\n34: 10\n35: 32\n36: 2\n37: 1\n38: 256\n39: 0\n40: 256\n41: 0\n42: 1\n43: 1\n44: 2\n45: 3\n46: 4\n47: 5\n48: 6\n49: 7\n50: 8000\n51: 10\n52: 100\n53: 21\n54: 0\n55: 32\n56: 32\n57: 64\n58: 0\n59: 32\n60: 0\n61: 8\n62: 0\n63: 1\n64: 2\n65: 3\n66: 4\n67: 5\n68: 6\n69: 7\n70: 10000\n71: 8\n72: 50\n73: 100\n74: 8000\n75: 9\n76: 25\n77: 100\n78: 100000000\n79: 10000\n80: 3000\n81: 0\n82: 1\n83: 2\n84: 3\n85: 4\n86: 5\n87: 6\n88: 0\n89: -9223372036854775808\n90: 20001\n91: 10000\n92: 10000\n93: 10000\n94: 32\n95: 40\n96: 50\n97: 86\n98: 4\n99: 12",
"ergoTreeScript": "{\n val l1 = SELF.R6[Long].get\n val coll2 = SELF.R7[Coll[Coll[Byte]]].get\n val coll3 = SELF.R4[Coll[Long]].get\n if (getVar[Int](0.toByte).get == placeholder[Int](0)) {(\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = getVar[Coll[Byte]](2.toByte).get\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = getVar[Coll[Coll[Byte]]](5.toByte).get\n val i8 = getVar[Int](3.toByte).get\n val coll9 = getVar[Coll[Coll[Byte]]](6.toByte).get\n val coll10 = coll7.slice(i8, coll7.size).zip(coll9.slice(i8, coll9.size))\n val avlTree11 = box4.R5[AvlTree].get\n val avlTree12 = if (i8 > placeholder[Int](3)) {\n avlTree11.insert(coll7.slice(placeholder[Int](4), i8).zip(coll9.slice(placeholder[Int](5), i8)), getVar[Coll[Byte]](1.toByte).get).get\n } else { avlTree11 }\n val coll13 = coll2.map({(coll13: Coll[Byte]) => byteArrayToLong(coll13.slice(placeholder[Int](6), placeholder[Int](7))) })\n val box14 = OUTPUTS(\n placeholder[Int](8) + coll2.map(\n {(coll14: Coll[Byte]) =>\n if (byteArrayToLong(coll14.slice(placeholder[Int](9), placeholder[Int](10))) > placeholder[Long](11)) { placeholder[Int](12) } else {\n placeholder[Int](13)\n }\n }\n ).fold(placeholder[Int](14), {(tuple14: (Int, Int)) => tuple14._1 + tuple14._2 })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((HEIGHT.toLong >= l1) && box4.tokens.exists({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll5 })) && (\n box6.propositionBytes == box4.propositionBytes\n )\n ) && (box6.value >= box4.value)\n ) && box6.tokens.exists({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll5 })\n ) && (box6.R4[Coll[Long]].get == box4.R4[Coll[Long]].get)\n ) && (box6.R6[Coll[Coll[Long]]].get == box4.R6[Coll[Coll[Long]]].get)\n ) && (box6.R7[Coll[Coll[Long]]].get == box4.R7[Coll[Coll[Long]]].get)\n ) && (box6.R8[Coll[Coll[Long]]].get == box4.R8[Coll[Coll[Long]]].get)\n ) && (box6.R9[Coll[Long]].get == box4.R9[Coll[Long]].get)\n ) && (\n box6.R5[AvlTree].get.digest == if (coll10.size > placeholder[Int](15)) { avlTree12.update(coll10, getVar[Coll[Byte]](4.toByte).get).get } else {\n avlTree12\n }.digest\n )\n ) && coll2.indices.forall({(i15: Int) =>\n val l17 = coll13(i15)\n if (l17 > placeholder[Long](16)) {(\n val box18 = OUTPUTS(placeholder[Int](17) + i15)\n (box18.propositionBytes == coll2(i15).slice(placeholder[Int](18), placeholder[Int](19))) && (box18.value >= l17)\n )} else { placeholder[Boolean](20) }\n })\n ) && (\n (box14.propositionBytes == SELF.R8[Coll[Byte]].get) && (\n box14.value >= SELF.value - coll13.fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) - placeholder[Long](22)\n )\n )\n )\n )} else {(\n val box4 = CONTEXT.dataInputs(placeholder[Int](23))\n val i5 = getVar[Int](1.toByte).get\n val coll6 = SELF.R5[Coll[Coll[Byte]]].get(i5)\n val coll7 = 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)\n ).map({(i7: Int) =>\n val i9 = placeholder[Int](35) + i7 * placeholder[Int](36)\n val l10 = coll6(i9 + placeholder[Int](37)).toLong\n coll6(i9).toLong * placeholder[Long](38) + if (l10 < placeholder[Long](39)) { l10 + placeholder[Long](40) } else { l10 }\n })\n val l8 = coll7(placeholder[Int](41))\n val coll9 = box4.R8[Coll[Coll[Long]]].get(coll3(placeholder[Int](42)).toInt)\n val l10 = coll7(placeholder[Int](43))\n val l11 = coll7(placeholder[Int](44))\n val l12 = coll7(placeholder[Int](45))\n val l13 = coll7(placeholder[Int](46))\n val l14 = coll7(placeholder[Int](47))\n val l15 = coll7(placeholder[Int](48))\n val l16 = coll7(placeholder[Int](49))\n val l17 = placeholder[Long](50) + coll7(placeholder[Int](51)) * placeholder[Long](52)\n val coll18 = box4.R4[Coll[Long]].get\n val l19 = coll18(placeholder[Int](53))\n val coll20 = SELF.R9[Coll[Byte]].get\n val l21 = byteArrayToLong(\n blake2b256(\n coll20.slice(placeholder[Int](54), placeholder[Int](55)).append(coll20.slice(placeholder[Int](56), placeholder[Int](57))).append(\n coll6.slice(placeholder[Int](58), placeholder[Int](59))\n )\n ).slice(placeholder[Int](60), placeholder[Int](61))\n )\n val box22 = OUTPUTS(coll2.size)\n sigmaProp(\n (\n (\n ((HEIGHT.toLong < l1) && box4.tokens.exists({(tuple23: (Coll[Byte], Long)) => tuple23._1 == getVar[Coll[Byte]](2.toByte).get })) && (\n l8 * coll9(placeholder[Int](62)) + l10 * coll9(placeholder[Int](63)) + l11 * coll9(placeholder[Int](64)) + l12 * coll9(\n placeholder[Int](65)\n ) + l13 * coll9(placeholder[Int](66)) + l14 * coll9(placeholder[Int](67)) + l15 * coll9(placeholder[Int](68)) + l16 * coll9(\n placeholder[Int](69)\n ) * placeholder[Long](70) - coll7(placeholder[Int](71)) * placeholder[Long](72) / placeholder[Long](73) * placeholder[Long](74) + coll7(\n placeholder[Int](75)\n ) * placeholder[Long](76) / placeholder[Long](77) / placeholder[Long](78) * placeholder[Long](79) + placeholder[Long](\n 80\n ) * l17 - if (l19 == placeholder[Long](81)) { l8 } else {\n if (l19 == placeholder[Long](82)) { l10 } else {\n if (l19 == placeholder[Long](83)) { l11 } else {\n if (l19 == placeholder[Long](84)) { l12 } else {\n if (l19 == placeholder[Long](85)) { l13 } else {\n if (l19 == placeholder[Long](86)) { l14 } else { if (l19 == placeholder[Long](87)) { l15 } else { l16 } }\n }\n }\n }\n }\n } / l17 * if (l21 >= placeholder[Long](88)) { l21 } else { l21 - placeholder[Long](89) } % placeholder[Long](90) - placeholder[Long](\n 91\n ) / placeholder[Long](92) / placeholder[Long](93) != byteArrayToLong(coll2(i5).slice(placeholder[Int](94), placeholder[Int](95)))\n )\n ) && coll2.indices.forall({(i23: Int) =>\n val box25 = OUTPUTS(i23)\n (box25.propositionBytes == coll2(i23).slice(placeholder[Int](96), placeholder[Int](97))) && (box25.value >= coll3(placeholder[Int](98)))\n })\n ) && ((box22.propositionBytes == getVar[Coll[Byte]](3.toByte).get) && (box22.value >= coll18(placeholder[Int](99))))\n )\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "05a4d4d301",
"sigmaType": "SLong",
"renderedValue": "1733906"
},
"R8": {
"serializedValue": "0e240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R7": {
"serializedValue": "1a0256deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef000000000001db4b000000000393870000960008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a56cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000b650000000002625a0000640008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef000000000001db4b000000000393870000960008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000b650000000002625a0000640008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
},
"R9": {
"serializedValue": "0e40732af9e01d23a3eba31a01239dee09893f3ca6f055901162a693175817799bea603322bb628f074f297596dfc2e876a46d3865d26257da9316d0419c8fcb5c36",
"sigmaType": "Coll[SByte]",
"renderedValue": "732af9e01d23a3eba31a01239dee09893f3ca6f055901162a693175817799bea603322bb628f074f297596dfc2e876a46d3865d26257da9316d0419c8fcb5c36"
},
"R4": {
"serializedValue": "110787b1e195d2cef7f47d0028e2d3d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-4536513759494810692,0,20,1733873,50000000,0,0]"
}
}
},
{
"boxId": "11810ef7a676162a1c4b9776c96e5412efd171a00aa3c8c03927e09265efe0c1",
"value": 60000000,
"index": 1,
"spendingProof": "85364766e98531e7e9cfb854669c2eb21963216cd25ce2147e89ba9c1c1f8e11d7d95d0d5787952f5b257cca46b3ecc6f5185ee83b4b5f43",
"outputBlockId": "3ebd604b6bbda0f261bbd1ca154a1af2a3d16c53d6b768f7d975b34c0f70a2e1",
"outputTransactionId": "2da2c2ad2c4b62317a202e9759c946651d50d3cd372785a5ad8314af8d69fe93",
"outputIndex": 1,
"outputGlobalIndex": 53921857,
"outputCreatedAt": 1733862,
"outputSettledAt": 1733863,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ee48e0aa8ea11d8b852731982630d298171ecd18bbc79ac3995753690c4ad340",
"value": 10000000,
"index": 0,
"outputBlockId": "3ebd604b6bbda0f261bbd1ca154a1af2a3d16c53d6b768f7d975b34c0f70a2e1",
"outputTransactionId": "2da2c2ad2c4b62317a202e9759c946651d50d3cd372785a5ad8314af8d69fe93",
"outputIndex": 0,
"ergoTree": "18380208cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a0402eb027300d1927ea305b2e4c6a70411730100",
"address": "pA1p4kEjmLdGPJFY3pgPCZpg28tw34QTWCTpDA73oSvK3VLVPttk4ZNBL25dHw1qUwCztiSxhGzpgvhygp1Sz",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "64ba49fbb0640582277fc81dd64de8941c129d25d0d7e220b92c4c1ac5487734bc02072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
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"sigmaType": "Coll[Coll[SLong]]",
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],
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