Transaction
ID: dd19696417...9dea
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.251 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.72 ERG
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.09 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.06 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.099 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.72 ERG
Transaction Details
Confirmations: 29,788
Total coins transferred: 1.97 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001247 ERG
Raw Transaction Data
{
"id": "dd1969641715eb9fefb244c24cadc0cd05ed44fa81d5530a2086e42bf4429dea",
"blockId": "a01080c32c014daaa4c922d70bf2d158549e83c3dce1beb313e6017cd0d37a45",
"inclusionHeight": 1738002,
"timestamp": 1773039062724,
"index": 1,
"globalIndex": 10419236,
"numConfirmations": 29788,
"inputs": [
{
"boxId": "fb47af6fadfb4e58e0acecd94cc3decbc137e5d7883b3b18bf5936dda78365d1",
"value": 251000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f1387a91c6d7a2e42ab2c142a6c3fde781f8f0c70746e5d83a48c042a3db6087",
"outputTransactionId": "e310250e2dfd0d4427ec363b478bebd764b00c062f15e0b5f1e85f058512cc37",
"outputIndex": 0,
"outputGlobalIndex": 54032879,
"outputCreatedAt": 1737969,
"outputSettledAt": 1737970,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 40\n8: 48\n9: 1\n10: 40\n11: 48\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 0\n18: 0\n19: 1\n20: 50\n21: 86\n22: true\n23: 0\n24: 2200000\n25: 0\n26: 0\n27: 1\n28: 2\n29: 3\n30: 4\n31: 5\n32: 6\n33: 7\n34: 8\n35: 9\n36: 10\n37: 32\n38: 2\n39: 1\n40: 0\n41: 256\n42: 256\n43: 0\n44: 256\n45: 0\n46: 1\n47: 1\n48: 2\n49: 3\n50: 4\n51: 5\n52: 6\n53: 7\n54: 8000\n55: 10\n56: 100\n57: 21\n58: 0\n59: 32\n60: 32\n61: 64\n62: 0\n63: 32\n64: 0\n65: 8\n66: 0\n67: 1\n68: 2\n69: 3\n70: 4\n71: 5\n72: 6\n73: 7\n74: 10000\n75: 8\n76: 50\n77: 100\n78: 8000\n79: 9\n80: 25\n81: 100\n82: 100000000\n83: 10000\n84: 3000\n85: 0\n86: 1\n87: 2\n88: 3\n89: 4\n90: 5\n91: 6\n92: 0\n93: -9223372036854775808\n94: 20001\n95: 10000\n96: 10000\n97: 10000\n98: 32\n99: 40\n100: 50\n101: 86\n102: 4\n103: 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 tuple7 = box6.tokens(placeholder[Int](3))\n val coll8 = getVar[Coll[Coll[Byte]]](5.toByte).get\n val i9 = getVar[Int](3.toByte).get\n val coll10 = getVar[Coll[Coll[Byte]]](6.toByte).get\n val coll11 = coll8.slice(i9, coll8.size).zip(coll10.slice(i9, coll10.size))\n val avlTree12 = box4.R5[AvlTree].get\n val avlTree13 = if (i9 > placeholder[Int](4)) {\n avlTree12.insert(coll8.slice(placeholder[Int](5), i9).zip(coll10.slice(placeholder[Int](6), i9)), getVar[Coll[Byte]](1.toByte).get).get\n } else { avlTree12 }\n val coll14 = coll2.map({(coll14: Coll[Byte]) => byteArrayToLong(coll14.slice(placeholder[Int](7), placeholder[Int](8))) })\n val box15 = OUTPUTS(\n placeholder[Int](9) + coll2.map(\n {(coll15: Coll[Byte]) =>\n if (byteArrayToLong(coll15.slice(placeholder[Int](10), placeholder[Int](11))) > placeholder[Long](12)) { placeholder[Int](13) } else {\n placeholder[Int](14)\n }\n }\n ).fold(placeholder[Int](15), {(tuple15: (Int, Int)) => tuple15._1 + tuple15._2 })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((HEIGHT.toLong >= l1) && box4.tokens.exists({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll5 })) && (\n box6.propositionBytes == box4.propositionBytes\n )\n ) && (box6.value >= box4.value)\n ) && ((tuple7._1 == coll5) && (tuple7._2 == placeholder[Long](16)))\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 (coll11.size > placeholder[Int](17)) { avlTree13.update(coll11, getVar[Coll[Byte]](4.toByte).get).get } else {\n avlTree13\n }.digest\n )\n ) && coll2.indices.forall({(i16: Int) =>\n val l18 = coll14(i16)\n if (l18 > placeholder[Long](18)) {(\n val box19 = OUTPUTS(placeholder[Int](19) + i16)\n (box19.propositionBytes == coll2(i16).slice(placeholder[Int](20), placeholder[Int](21))) && (box19.value >= l18)\n )} else { placeholder[Boolean](22) }\n })\n ) && (\n (box15.propositionBytes == SELF.R8[Coll[Byte]].get) && (\n box15.value >= SELF.value - coll14.fold(placeholder[Long](23), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) - placeholder[Long](24)\n )\n )\n )\n )} else {(\n val box4 = CONTEXT.dataInputs(placeholder[Int](25))\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](26), placeholder[Int](27), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](\n 32\n ), placeholder[Int](33), placeholder[Int](34), placeholder[Int](35), placeholder[Int](36)\n ).map({(i7: Int) =>\n val i9 = placeholder[Int](37) + i7 * placeholder[Int](38)\n val l10 = coll6(i9).toLong\n val l11 = coll6(i9 + placeholder[Int](39)).toLong\n if (l10 < placeholder[Long](40)) { l10 + placeholder[Long](41) } else { l10 } * placeholder[Long](42) + if (l11 < placeholder[Long](43)) { l11 + placeholder[Long](44) } else { l11 }\n })\n val l8 = coll7(placeholder[Int](45))\n val coll9 = box4.R8[Coll[Coll[Long]]].get(coll3(placeholder[Int](46)).toInt)\n val l10 = coll7(placeholder[Int](47))\n val l11 = coll7(placeholder[Int](48))\n val l12 = coll7(placeholder[Int](49))\n val l13 = coll7(placeholder[Int](50))\n val l14 = coll7(placeholder[Int](51))\n val l15 = coll7(placeholder[Int](52))\n val l16 = coll7(placeholder[Int](53))\n val l17 = placeholder[Long](54) + coll7(placeholder[Int](55)) * placeholder[Long](56)\n val coll18 = box4.R4[Coll[Long]].get\n val l19 = coll18(placeholder[Int](57))\n val coll20 = SELF.R9[Coll[Byte]].get\n val l21 = byteArrayToLong(\n blake2b256(\n coll20.slice(placeholder[Int](58), placeholder[Int](59)).append(coll20.slice(placeholder[Int](60), placeholder[Int](61))).append(\n coll6.slice(placeholder[Int](62), placeholder[Int](63))\n )\n ).slice(placeholder[Int](64), placeholder[Int](65))\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](66)) + l10 * coll9(placeholder[Int](67)) + l11 * coll9(placeholder[Int](68)) + l12 * coll9(\n placeholder[Int](69)\n ) + l13 * coll9(placeholder[Int](70)) + l14 * coll9(placeholder[Int](71)) + l15 * coll9(placeholder[Int](72)) + l16 * coll9(\n placeholder[Int](73)\n ) * placeholder[Long](74) - coll7(placeholder[Int](75)) * placeholder[Long](76) / placeholder[Long](77) * placeholder[Long](78) + coll7(\n placeholder[Int](79)\n ) * placeholder[Long](80) / placeholder[Long](81) / placeholder[Long](82) * placeholder[Long](83) + placeholder[Long](\n 84\n ) * l17 - if (l19 == placeholder[Long](85)) { l8 } else {\n if (l19 == placeholder[Long](86)) { l10 } else {\n if (l19 == placeholder[Long](87)) { l11 } else {\n if (l19 == placeholder[Long](88)) { l12 } else {\n if (l19 == placeholder[Long](89)) { l13 } else {\n if (l19 == placeholder[Long](90)) { l14 } else { if (l19 == placeholder[Long](91)) { l15 } else { l16 } }\n }\n }\n }\n }\n } / l17 * if (l21 >= placeholder[Long](92)) { l21 } else { l21 - placeholder[Long](93) } % placeholder[Long](94) - placeholder[Long](\n 95\n ) / placeholder[Long](96) / placeholder[Long](97) != byteArrayToLong(coll2(i5).slice(placeholder[Int](98), placeholder[Int](99)))\n )\n ) && coll2.indices.forall({(i23: Int) =>\n val box25 = OUTPUTS(i23)\n (box25.propositionBytes == coll2(i23).slice(placeholder[Int](100), placeholder[Int](101))) && (box25.value >= coll3(placeholder[Int](102)))\n })\n ) && ((box22.propositionBytes == getVar[Coll[Byte]](3.toByte).get) && (box22.value >= coll18(placeholder[Int](103))))\n )\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1a0336deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a36f00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafe00fa000001f40000000000000000000004b000000058",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a,f00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafe00fa000001f40000000000000000000004b000000058]"
},
"R6": {
"serializedValue": "05a094d401",
"sigmaType": "SLong",
"renderedValue": "1738000"
},
"R8": {
"serializedValue": "0e240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R7": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef000000000000314200000000055d4a8000010008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,f00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafef00dcafe000000000000277f000000000000000000000008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000a9b000000000393870000000008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
},
"R9": {
"serializedValue": "0e40b7ea2b7d64a1b709759d896dda3ebf6519a3042925ae58855ff07f079dc7b1f1c945ebe5284a525010246be47d649614bf2671844c8b1e5ffbb06939f0291357",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7ea2b7d64a1b709759d896dda3ebf6519a3042925ae58855ff07f079dc7b1f1c945ebe5284a525010246be47d649614bf2671844c8b1e5ffbb06939f0291357"
},
"R4": {
"serializedValue": "1107b5d4d0f6c3a6eec1a6010028de93d40180c2d72f0402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-5999318733144331547,0,20,1737967,50000000,2,1]"
}
}
},
{
"boxId": "6ec85c21c45fb7a52786c3fb8d031a2ebb67a2f30a8d65d1f2d698a30fd20f91",
"value": 1000000,
"index": 1,
"spendingProof": "4f356ad349e08303f849c7e78c1ecdd15b86ffd94c9b35e2aa05c9b2fb6d0677e7281e61572ec69bf38cb1c1591f08917465940436a606fe",
"outputBlockId": "7ff10d07ecd5040ddfea3d3978c7ed3aa30993fb8781fe94590df53ea6f7ea28",
"outputTransactionId": "3ed493c7cec800bed9b658af2426765b0f0146f1357cdb6cf43c49815a60f6a6",
"outputIndex": 0,
"outputGlobalIndex": 54032593,
"outputCreatedAt": 1737955,
"outputSettledAt": 1737957,
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
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},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
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"sigmaType": "Coll[SLong]",
"renderedValue": "[60,80,85,95,100,120]"
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"sigmaType": "Coll[SLong]",
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"outputIndex": 1,
"outputGlobalIndex": 54033509,
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"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
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}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "dd1969641715eb9fefb244c24cadc0cd05ed44fa81d5530a2086e42bf4429dea",
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"renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
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"renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
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{
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{
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"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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"mainChain": true
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{
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"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
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"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
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