Transaction
ID: 8831d7755d...f2b3
Inputs (20)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
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Value:
0.001 ERG
Tokens:
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Spent
Address:
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Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
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Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
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Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
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Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
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Value:
0.001 ERG
Tokens:
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Spent
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0.001 ERG
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Spent
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Value:
7.93 ERG
Tokens:
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Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.95 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 526,065
Total coins transferred: 7.97 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000898 ERG
Raw Transaction Data
{
"id": "8831d7755db33fdbacbdde97e93baf2059dabae0a7d7332ef27819e40476f2b3",
"blockId": "cb8701b5a4dec79f3bf6ee0e1ca47d2d9d210a9b858b4f079003017e65d9ecee",
"inclusionHeight": 1252189,
"timestamp": 1714231486074,
"index": 27,
"globalIndex": 7099592,
"numConfirmations": 526065,
"inputs": [
{
"boxId": "54c0cad69d5af7a5e1f8d6d7e1cbc1538586161d3f55ac16944ebfe842affc72",
"value": 15000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d2682d3eafeffed52b7aa318207743073ef5175393bf89dadbe94acd6b929114",
"outputTransactionId": "302ebaeca8496e3d1f3c44f2011e3ae2068277cc60d1f1dcc2c0d272139a1c07",
"outputIndex": 1,
"outputGlobalIndex": 39600531,
"outputCreatedAt": 1252094,
"outputSettledAt": 1252096,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "55fd50a84c0e3b7a1e09f9790450cf28f3fe2281d88ab7035a9f3590d5a61f07",
"index": 0,
"amount": 1,
"name": "Shadowwood Sentinel",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59b29bc4f7e363b082dfb7e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714219943641,1714824143000]"
},
"R6": {
"serializedValue": "110380d0acf30e80a8d6b9078090dfc04a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000000000,1000000000,10000000000]"
},
"R8": {
"serializedValue": "0e240008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa"
}
}
},
{
"boxId": "644e89005ea6877eef9786590e5767b66e0623cd0f14b6d0ce494db6d57ba913",
"value": 1000000,
"index": 1,
"spendingProof": "c414a3c52bba99598d0b4b0c4c3e44ccd3b3141d14d64767691ef7bfffb2116a2070524aa52ce0b9bb89cd0dad4b67129bac7777653c0005",
"outputBlockId": "33e4812c3dbdc9958ea70bf697eebdfd5c02cf60a8a85cec72eba33baa99ef3a",
"outputTransactionId": "9d6451bcf3185a0520bfb27ab1d750862ec7789dc8535cd71499a554f1247e5a",
"outputIndex": 0,
"outputGlobalIndex": 39605028,
"outputCreatedAt": 1252169,
"outputSettledAt": 1252171,
"ergoTree": "0008cd03af809c8f85353fd4273898206ba2a2c8ea8453193f7dbeb4a739f8ae93c318c5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(af809c,24f21a,...)))}",
"address": "9ho6fVLZZ9pgabJ3sCyvf2bhQfM5hur1bfiSGWNNgsFMXGcu3A7",
"assets": [
{
"tokenId": "0845f1721d53f115374127cff8fa7f04a79d4814833f1e57ff46fb8e4f12dbee",
"index": 0,
"amount": 1,
"name": "Arms",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "af10189475565dd546e2eacf9b65c53c0150a2b4f3f4c3a7dc0d8734810d8f6e",
"index": 1,
"amount": 1,
"name": "Ethereal Vanguard",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a957436c877af80c296b13e1d787df0c474eaf7cabe96bf73ac4853bc972267d",
"index": 2,
"amount": 1,
"name": "006",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "79c5db5991fe48b98b6678c0845d97f351c27657b47161ffa2df7d252709d485",
"index": 3,
"amount": 1,
"name": "Binary Shot",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "031931bc1ca573910159327469aa48385574106bb7b6397a3b278d3c0232ebe7",
"index": 4,
"amount": 1,
"name": "Orbital Barrage",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "6e20cfc693a37e6d1f0b8bb98e2d55ba10b057ca78f7681b8e78bf4710467266",
"value": 1000000,
"index": 2,
"spendingProof": "653803d5f3cbc87eea37d29d57c07e3fbc0d98a9c479f3f6eacce3d7a204dba67336ba83a49a56dfc83359064a767b72eb4b688d70e25e2e",
"outputBlockId": "33e4812c3dbdc9958ea70bf697eebdfd5c02cf60a8a85cec72eba33baa99ef3a",
"outputTransactionId": "9d6451bcf3185a0520bfb27ab1d750862ec7789dc8535cd71499a554f1247e5a",
"outputIndex": 1,
"outputGlobalIndex": 39605029,
"outputCreatedAt": 1252169,
"outputSettledAt": 1252171,
"ergoTree": "0008cd03af809c8f85353fd4273898206ba2a2c8ea8453193f7dbeb4a739f8ae93c318c5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(af809c,24f21a,...)))}",
"address": "9ho6fVLZZ9pgabJ3sCyvf2bhQfM5hur1bfiSGWNNgsFMXGcu3A7",
"assets": [
{
"tokenId": "5726e25de727b34754f7c50430655e57a5975b566d2a198558d8c5ce508133d9",
"index": 0,
"amount": 1,
"name": "Shadow Stalker",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1c64d4941514cddcd81a4034a15b0d4d8eea932b2e193e60d4552687e952500b",
"index": 1,
"amount": 1,
"name": "Xenosilk Stalker",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "060698e8a92ebf5e5099d17bdc758d041255ea93ed38a18c3fa58bfe0bb3c2b4",
"index": 2,
"amount": 1,
"name": "Mary Making",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9bb2dd6101d165a676e4893ac2321566a2d0776567b7e5698f686646f502868d",
"index": 3,
"amount": 1,
"name": "Flickerflame Forge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ebe8997d6d1a02ea70bc7d141bc4802876ffae9d5bfe0df6560189bc151fd3f",
"index": 4,
"amount": 1,
"name": "Maharaja",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "58cb5fc7f5f0e3867dc1a78d48785a2a2767420196e622b701dcb67f3fdc9377",
"value": 1000000,
"index": 3,
"spendingProof": "c3f34f655a3c23a7f75504e217f7a0c81fa315a014e0a7a578d9e8c780cef30f0e55dab4224813725c73892c20c91e3e57a59ba336444b0c",
"outputBlockId": "33e4812c3dbdc9958ea70bf697eebdfd5c02cf60a8a85cec72eba33baa99ef3a",
"outputTransactionId": "9d6451bcf3185a0520bfb27ab1d750862ec7789dc8535cd71499a554f1247e5a",
"outputIndex": 2,
"outputGlobalIndex": 39605030,
"outputCreatedAt": 1252169,
"outputSettledAt": 1252171,
"ergoTree": "0008cd03af809c8f85353fd4273898206ba2a2c8ea8453193f7dbeb4a739f8ae93c318c5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(af809c,24f21a,...)))}",
"address": "9ho6fVLZZ9pgabJ3sCyvf2bhQfM5hur1bfiSGWNNgsFMXGcu3A7",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Nephilim's Nexus",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "55c76aab474f5c85c2ed80f2f1cb125008c6f41a0a74bb4aba0c259cd9af9a8f",
"index": 1,
"amount": 1,
"name": "Cosmic Veilweaver",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "68ff37b326f54dd374a1a83351d4adb51952c4540f79a53c8353c549d4f9635f",
"index": 2,
"amount": 1,
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"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
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"name": "Shadowwood Sentinel",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714219943641,1714824143000]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[2000000000,1000000000,10000000000]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03af809c8f85353fd4273898206ba2a2c8ea8453193f7dbeb4a739f8ae93c318c5"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa"
}
},
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"mainChain": true
},
{
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"index": 1,
"globalIndex": 39605605,
"creationHeight": 1252187,
"settlementHeight": 1252189,
"ergoTree": "0008cd02252cb003ca867280bcb43a1d9da3d0e01e8a2ed3beb19a68c7699864b18407fa",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(252cb0,e1cb10,...)))}",
"address": "9eoS68cXkPUFHcdW4uarhuz8EngFJJuthYDy1JPKafRhF8c7XyB",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "85785dc95c4f1f18fbe2f744f9d870a3258e3d05054fcf78013e1013c9325f94",
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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)}",
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"spentTransactionId": "e71cbb8d9953a8c152a1990ceb9ae13b221a332d4e30d4c3ae1bee0cd92934b8",
"mainChain": true
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(af809c,24f21a,...)))}",
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