Transaction
ID: 4e30ce857b...3b2c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.006 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Confirmations: 940,292
Total coins transferred: 1 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000564 ERG
Raw Transaction Data
{
"id": "4e30ce857bbb04276a44c881c4afbf43e7369e8bc694e4a1d1606f73c8e43b2c",
"blockId": "05ea04813a1e88b3b6b04106673005550eb2b67b75d4ad92cd39febf0e0332d8",
"inclusionHeight": 838378,
"timestamp": 1663175583193,
"index": 10,
"globalIndex": 4012766,
"numConfirmations": 940292,
"inputs": [
{
"boxId": "0cf19cb4cbe4eab381cea247210e2ea4633ca3e3dc8a204c7df2682a35132989",
"value": 998900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3391cb6abd309845f2af3c2422414ba615100592d1625847b364c67e5ab75226",
"outputTransactionId": "85fb2f395b877c8c3077a130a911d684c69b8638fe03ec285751516d24157d12",
"outputIndex": 0,
"outputGlobalIndex": 21595170,
"outputCreatedAt": 837623,
"outputSettledAt": 837625,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val l5 = SELF.tokens(placeholder[Int](2))._2\n val coll6 = tuple3._1\n val coll7 = placeholder[Coll[Byte]](3)\n if (l4 == l5) { placeholder[SigmaProp](4) } else {\n if (l4 == l5 + placeholder[Long](5)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n placeholder[Int](6)\n )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n )\n )\n )\n } else {(\n val i8 = OUTPUTS.size\n if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n val l9 = SELF.R4[Long].get\n val coll10 = SELF.R5[Coll[Byte]].get\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = box11.R4[Coll[Long]].get\n val l13 = coll12(placeholder[Int](14))\n val l14 = coll12(placeholder[Int](15))\n val coll15 = SELF.id\n val box16 = OUTPUTS(placeholder[Int](16))\n sigmaProp(\n allOf(\n Coll[Boolean](\n i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n 19\n ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n Coll[Byte]\n ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n 22\n ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n Coll[Byte]\n ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n Coll[Byte]\n ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n placeholder[Int](30)\n )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n )\n )\n )\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
"index": 0,
"amount": 1,
"name": "ErgoRaffle NFT V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
"index": 1,
"amount": 999999999999988,
"name": "ErgoRaffle Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
}
},
{
"boxId": "d0072cbcf0a58aa02eb210780febb908a7aec8c0ce75813ff86033a630acf2db",
"value": 6000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "05ea04813a1e88b3b6b04106673005550eb2b67b75d4ad92cd39febf0e0332d8",
"outputTransactionId": "c018d8ae8eee62003308d7faeee6dd63623e0e9c602c9e030bd058f1b35baaf0",
"outputIndex": 0,
"outputGlobalIndex": 21641753,
"outputCreatedAt": 838375,
"outputSettledAt": 838378,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n5: 0\n6: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n7: 0\n8: 80\n9: 2\n10: 1000000000\n11: 3\n12: 120000000000\n13: 4\n14: 844375\n15: Coll(0,8,-51,2,66,-23,-50,-33,-15,-52,81,-33,-90,-85,108,23,118,6,-55,67,-41,102,47,30,-114,-54,98,-105,-91,69,-2,38,107,-123,-103,-11)\n16: 0\n17: Coll(72,101,108,112,32,66,117,121,105,110,103,32,83,116,117,100,101,110,116,115,39,32,83,99,104,111,111,108,32,83,117,112,112,108,105,101,115)\n18: 1\n19: Coll(60,112,62,72,105,46,60,98,114,62,76,97,115,116,32,121,101,97,114,44,32,73,39,118,101,32,98,101,101,110,32,115,101,97,114,99,104,105,110,103,32,102,111,114,32,97,32,119,97,121,32,116,111,32,104,101,108,112,32,115,111,109,101,32,112,111,111,114,32,115,116,117,100,101,110,116,115,32,119,104,111,32,114,101,97,108,108,121,32,110,101,101,100,101,100,32,104,101,108,112)\n20: 2\n21: Coll(105,112,102,115,58,47,47,98,97,102,107,114,101,105,100,116,107,119,55,120,106,101,108,54,110,109,55,117,103,51,114,51,107,102,112,107,105,120,101,114,110,105,107,106,114,105,53,51,101,51,120,54,115,99,119,121,102,122,112,55,105,117,100,112,116,105)\n22: 3\n23: Coll(105,112,102,115,58,47,47,98,97,102,107,114,101,105,98,108,106,115,100,114,99,105,55,101,103,51,52,106,117,122,114,122,104,103,104,102,122,115,105,109,99,52,111,117,108,54,53,122,108,99,109,105,120,120,107,107,117,107,98,103,104,98,54,119,50,105)\n24: 4\n25: Coll(105,112,102,115,58,47,47,98,97,102,107,114,101,105,102,118,99,111,114,110,109,99,119,52,108,118,116,118,119,53,118,103,99,122,103,99,109,107,99,103,104,103,114,52,108,114,55,122,103,116,106,99,104,106,118,52,50,103,113,105,101,122,117,114,99,97)\n26: 5\n27: Coll(105,112,102,115,58,47,47,98,97,102,107,114,101,105,103,52,115,105,113,51,120,110,108,54,100,122,103,117,114,101,119,55,105,118,121,54,110,113,118,116,112,103,115,113,109,103,109,51,109,110,104,113,111,50,111,118,116,97,120,101,109,112,51,55,114,121)\n28: 0\n29: Coll(0,8,-51,3,59,-9,-58,27,-47,72,-72,111,-90,-35,-119,-95,-47,-103,-93,65,115,101,58,-66,32,-22,-12,104,-81,-55,48,44,33,-39,6,-32)\n30: 838395\n31: 2\n32: 1\n33: 1500000",
"ergoTreeScript": "{\n val i1 = OUTPUTS.size\n if (i1 > placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box2.R4[Coll[Long]].get\n val coll4 = box2.R6[Coll[Coll[Byte]]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n OUTPUTS(placeholder[Int](2)).tokens(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), box2.tokens(placeholder[Int](5))._1 == placeholder[\n Coll[Byte]\n ](6), coll3(placeholder[Int](7)) == placeholder[Long](8), coll3(placeholder[Int](9)) == placeholder[Long](10), coll3(\n placeholder[Int](11)\n ) == placeholder[Long](12), coll3(placeholder[Int](13)) == placeholder[Long](14), box2.R5[Coll[Byte]].get == placeholder[Coll[Byte]](15), coll4(\n placeholder[Int](16)\n ) == placeholder[Coll[Byte]](17), coll4(placeholder[Int](18)) == placeholder[Coll[Byte]](19), coll4(placeholder[Int](20)) == placeholder[Coll[Byte]](\n 21\n ), coll4(placeholder[Int](22)) == placeholder[Coll[Byte]](23), coll4(placeholder[Int](24)) == placeholder[Coll[Byte]](25), coll4(\n placeholder[Int](26)\n ) == placeholder[Coll[Byte]](27)\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n OUTPUTS(placeholder[Int](28)).propositionBytes == placeholder[Coll[Byte]](29), HEIGHT > placeholder[Int](30), i1 == placeholder[Int](31), OUTPUTS(\n placeholder[Int](32)\n ).value <= placeholder[Long](33)\n )\n )\n )\n }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "63be7d5d1752d026bbc38643361be21d99e67330855212e51f11365016797a47",
"transactionId": "4e30ce857bbb04276a44c881c4afbf43e7369e8bc694e4a1d1606f73c8e43b2c",
"blockId": "05ea04813a1e88b3b6b04106673005550eb2b67b75d4ad92cd39febf0e0332d8",
"value": 998900000,
"index": 0,
"globalIndex": 21641762,
"creationHeight": 838376,
"settlementHeight": 838378,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val l5 = SELF.tokens(placeholder[Int](2))._2\n val coll6 = tuple3._1\n val coll7 = placeholder[Coll[Byte]](3)\n if (l4 == l5) { placeholder[SigmaProp](4) } else {\n if (l4 == l5 + placeholder[Long](5)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n placeholder[Int](6)\n )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n )\n )\n )\n } else {(\n val i8 = OUTPUTS.size\n if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n val l9 = SELF.R4[Long].get\n val coll10 = SELF.R5[Coll[Byte]].get\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = box11.R4[Coll[Long]].get\n val l13 = coll12(placeholder[Int](14))\n val l14 = coll12(placeholder[Int](15))\n val coll15 = SELF.id\n val box16 = OUTPUTS(placeholder[Int](16))\n sigmaProp(\n allOf(\n Coll[Boolean](\n i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n 19\n ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n Coll[Byte]\n ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n 22\n ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n Coll[Byte]\n ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n Coll[Byte]\n ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n placeholder[Int](30)\n )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n )\n )\n )\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
"index": 0,
"amount": 1,
"name": "ErgoRaffle NFT V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
"index": 1,
"amount": 999999999999987,
"name": "ErgoRaffle Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "5b9b4af059f238576f3d95d1cd2fe75f4b633c96f554d93eef83377429476720",
"mainChain": true
},
{
"boxId": "b103601b0a0b4e904f8ea8b123e7e0f58335de155c773b514bb46132e3a1dc4c",
"transactionId": "4e30ce857bbb04276a44c881c4afbf43e7369e8bc694e4a1d1606f73c8e43b2c",
"blockId": "05ea04813a1e88b3b6b04106673005550eb2b67b75d4ad92cd39febf0e0332d8",
"value": 3000000,
"index": 1,
"globalIndex": 21641763,
"creationHeight": 838376,
"settlementHeight": 838378,
"ergoTree": "1003040004020e202fefce4da2d4d278e63e92bd257543210c6b7cd01b5bfa098cfc40ec6db36d33d801d601b2a5730000d196830701938cb2db6308720173010001e4c6a7080e93c17201c1a793cbc27201730293e4c672010411e4c6a7041193e4c67201050ee4c6a7050e93e4c67201061ae4c6a7061a93e4c67201070ee4c6a7070e",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(47,-17,-50,77,-94,-44,-46,120,-26,62,-110,-67,37,117,67,33,12,107,124,-48,27,91,-6,9,-116,-4,64,-20,109,-77,109,51)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](1))._1 == SELF.R8[Coll[Byte]].get, box1.value == SELF.value, blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](\n 2\n ), box1.R4[Coll[Long]].get == SELF.R4[Coll[Long]].get, box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R6[Coll[Coll[Byte]]].get == SELF.R6[\n Coll[Coll[Byte]]\n ].get, box1.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get\n )\n )\n )\n}",
"address": "22EKWbjr7teRPrjVnuekabytw2LEXfEGvJbZU6pHn19YydXG3pqSH7gUe3t4aFC3vFnTZzGcY6W5iJB5vCH22bRfdzqXrd9faZ2rQTsSHBWLm19mTSxHoxSxkRZ2793RXiKPVwWuewk4GtavKNZMKCxsp5H4jDbmjSyidcPqEUNGGwz1GkpqxhwRrZM",
"assets": [
{
"tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd0242e9cedff1cc51dfa6ab6c177606c943d7662f1e8eca6297a545fe266b8599f5",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0242e9cedff1cc51dfa6ab6c177606c943d7662f1e8eca6297a545fe266b8599f5"
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"ergoTreeScript": "{\n val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n val tuple2 = coll1(placeholder[Int](1))\n val tuple3 = SELF.tokens(placeholder[Int](2))\n val coll4 = tuple3._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == coll4, tuple2._2 == tuple3._2, coll4 == INPUTS(placeholder[Int](5)).R8[\n Coll[Byte]\n ].get\n )\n )\n )\n}",
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"index": 0,
"amount": 1000000000,
"name": "Raffle_token: Help Buying Students' School Supplies",
"decimals": 0,
"type": "EIP-004"
}
],
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{
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"index": 3,
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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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}
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"isUnconfirmed": false
}