Transaction
ID: 354b0cd3b2...b537
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.006 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 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: 1,169,389
Total coins transferred: 0.0075 ERG
Fees: 0.0015 ERG
Fees per byte: 0.00000092 ERG
Raw Transaction Data
{
"id": "354b0cd3b2e93a3ba38bb238320ff9b054f46c95e26bb3a3be773a7c066db537",
"blockId": "0bb6b3b752d7ed46d07b7d4afa67ba2a5f29d3bf3b7d2f3fa479faa972649918",
"inclusionHeight": 596533,
"timestamp": 1634137847242,
"index": 2,
"globalIndex": 1936306,
"numConfirmations": 1169389,
"inputs": [
{
"boxId": "3e23aea2332af12dc175ef9580956af8889e02d15c1fbbb730f5936e41d71da2",
"value": 1500000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ac2fe53af2d510ca4d402c143c607f8b052c0eab4fd10a5d975905b66ef46e6c",
"outputTransactionId": "b85e08637cf99c34b62e32cd7c146e30a331fca9cbaac2b47508d81996228adc",
"outputIndex": 0,
"outputGlobalIndex": 8332660,
"outputCreatedAt": 596522,
"outputSettledAt": 596524,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n8: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 4\n19: 0\n20: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n21: 1\n22: Coll(100,-7,107,2,-76,-126,50,12,109,93,27,33,8,49,1,-49,-120,118,-121,104,8,-10,55,-125,41,5,102,74,104,-29,-32,121)\n23: 6\n24: 0\n25: 100\n26: 5\n27: 0\n28: 2\n29: 0\n30: Coll(-96,-14,30,71,61,36,-85,65,95,-1,29,24,-85,-109,27,94,-72,-101,124,-127,-28,-4,-34,49,17,-64,-17,20,-74,87,-3,-85)\n31: 0\n32: 3\n33: 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), i8 >= placeholder[Int](18), box1.propositionBytes == SELF.propositionBytes, coll2(\n placeholder[Int](19)\n )._1 == placeholder[Coll[Byte]](20), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[Long].get == l9, box1.R5[\n Coll[Byte]\n ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](22), coll12.size == placeholder[Int](\n 23\n ), l13 == l9, l14 > placeholder[Long](24), l14 + l13 < placeholder[Long](25), coll12(placeholder[Int](26)) == placeholder[Long](27), box11.R5[\n Coll[Byte]\n ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n Coll[Byte]\n ].get == coll15, box11.tokens(placeholder[Int](29))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](30), box16.tokens(\n placeholder[Int](31)\n )._1 == coll15, OUTPUTS(placeholder[Int](32)).tokens.size == placeholder[Int](33)\n )\n )\n )\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "00ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef",
"index": 0,
"amount": 1,
"name": "ErgoRaffle NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 1,
"amount": 1000000000000000000,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
}
},
{
"boxId": "4e9e2d34e48095c13de4bb7cc5836745ece0d3e072789225455dfaffbc1390e9",
"value": 6000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3258999408ce04cc860cc0a9d345e329463a566bf071a5833edc86df9c5a9483",
"outputTransactionId": "b7bfe43cb2baa7f3de238cc7a94a6cbbeef3aa6e3904a25f2302ff86d39bc967",
"outputIndex": 0,
"outputGlobalIndex": 8333302,
"outputCreatedAt": 596528,
"outputSettledAt": 596530,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n5: 0\n6: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n7: 0\n8: 50\n9: 2\n10: 500000000\n11: 3\n12: 50000000000\n13: 4\n14: 596538\n15: Coll(0,8,-51,3,32,-26,85,-125,29,-95,27,1,28,-48,-74,126,34,36,-44,-102,13,117,57,98,63,-67,-127,-30,68,114,43,49,109,100,68,-81)\n16: 0\n17: 0\n18: 1500000\n19: Coll(0,8,-51,3,38,61,-90,7,114,121,89,0,-44,51,43,-106,115,-71,76,104,30,87,-53,-125,0,60,55,-113,-125,68,78,-23,87,-61,90,-96)\n20: 596536\n21: 2",
"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 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)\n )\n )\n )\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](16))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.value >= INPUTS(placeholder[Int](17)).value - placeholder[Long](18), box2.propositionBytes == placeholder[Coll[Byte]](\n 19\n ), HEIGHT.toLong > placeholder[Long](20), i1 == placeholder[Int](21)\n )\n )\n )\n )}\n}",
"address": "7DZLMXCiWGE9bowWXAqnDHxu3RgvhgpLEVjsmMmy5bfLAMZppk8ioYRyHLcAEaEsEusi1gdT3xHfKbLBbhTbDGUFm4pMuCa1NmhQDWyfjuZnBnYRxedcbw4tXEGgNAFC3w5unkcyQ1qg5SEscmRfRvEHicnUHcZGzCpKxni95AMndngoiRNyiZDGAEDXXYvuLiz8SrWPpAgvf6uTC9jUa7LhK7VreqqtKdHkpHvnU6kcsjWLKuN9mZQ5SrtciiKnY9QUaaBDVdki1kh6zWBvWfZs7ScmR1Ry4TZ1r3nB1MEKYZgkMQgdw5deF3nhxtrumsumqpiMXXUhZcLJFLDo8NgCMnT7py6Q4r3Q4a5C5qng6gspdH8ytdLAJFfLjVNinwCeBvS9XH7A3aaUnTXtUw9zGAMSsHQsnKqmYq7PwtRa8LDSERzFmQWMzYrP15y5vyc2Zm2ccBoaWpesJ77cskQshHjs9sWeheE9dg5",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "75fa6e61cb012ace3c23fb91595fbab220fb0b5e09f828d5dae40a57215ab434",
"transactionId": "354b0cd3b2e93a3ba38bb238320ff9b054f46c95e26bb3a3be773a7c066db537",
"blockId": "0bb6b3b752d7ed46d07b7d4afa67ba2a5f29d3bf3b7d2f3fa479faa972649918",
"value": 1500000,
"index": 0,
"globalIndex": 8333344,
"creationHeight": 596531,
"settlementHeight": 596533,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n8: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 4\n19: 0\n20: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n21: 1\n22: Coll(100,-7,107,2,-76,-126,50,12,109,93,27,33,8,49,1,-49,-120,118,-121,104,8,-10,55,-125,41,5,102,74,104,-29,-32,121)\n23: 6\n24: 0\n25: 100\n26: 5\n27: 0\n28: 2\n29: 0\n30: Coll(-96,-14,30,71,61,36,-85,65,95,-1,29,24,-85,-109,27,94,-72,-101,124,-127,-28,-4,-34,49,17,-64,-17,20,-74,87,-3,-85)\n31: 0\n32: 3\n33: 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), i8 >= placeholder[Int](18), box1.propositionBytes == SELF.propositionBytes, coll2(\n placeholder[Int](19)\n )._1 == placeholder[Coll[Byte]](20), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[Long].get == l9, box1.R5[\n Coll[Byte]\n ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](22), coll12.size == placeholder[Int](\n 23\n ), l13 == l9, l14 > placeholder[Long](24), l14 + l13 < placeholder[Long](25), coll12(placeholder[Int](26)) == placeholder[Long](27), box11.R5[\n Coll[Byte]\n ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n Coll[Byte]\n ].get == coll15, box11.tokens(placeholder[Int](29))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](30), box16.tokens(\n placeholder[Int](31)\n )._1 == coll15, OUTPUTS(placeholder[Int](32)).tokens.size == placeholder[Int](33)\n )\n )\n )\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "00ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef",
"index": 0,
"amount": 1,
"name": "ErgoRaffle NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 1,
"amount": 1000000000000000000,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R5": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "ddeaaa374e41d20bd749038b0881e7910c750360c442ba7e5d78bbffe901daf7",
"mainChain": true
},
{
"boxId": "504028e1013a88331d05fb1e435f76c0d54728f0838304cf5f37f832d842df72",
"transactionId": "354b0cd3b2e93a3ba38bb238320ff9b054f46c95e26bb3a3be773a7c066db537",
"blockId": "0bb6b3b752d7ed46d07b7d4afa67ba2a5f29d3bf3b7d2f3fa479faa972649918",
"value": 3000000,
"index": 1,
"globalIndex": 8333345,
"creationHeight": 596531,
"settlementHeight": 596533,
"ergoTree": "1003040004000e205e8abfece953833ea977ce92e9959d6061d604365a9e7e1c04fd0bae829d37cad801d601b2a5730000d19683070193c5a7c5b2a473010093c17201c1a793cbc27201730293e4c672010411e4c6a7041193e4c67201050ee4c6a7050e93e4c67201061ae4c6a7061a93e4c67201070ee4c6a7070e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(94,-118,-65,-20,-23,83,-125,62,-87,119,-50,-110,-23,-107,-99,96,97,-42,4,54,90,-98,126,28,4,-3,11,-82,-126,-99,55,-54)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](1)).id, box1.value == SELF.value, blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](2), box1.R4[\n Coll[Long]\n ].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": "2PEEpimfhHpaMvX7wcSY4zmaoGhenstsapiQqe3BRhfDdfUevhERYbETJLpQVxSL62KRrh48SfeeLnR6cYA3Z9bEixa21S4165yoQrwMREvySdQGLP3xDGhKeeCxzrACsTA3ppx1DcHQBEfJNrx3zfh8DpJ6QxjBGpPF934UnRMiq28z",
"assets": [
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd0320e655831da11b011cd0b67e2224d49a0d7539623fbd81e244722b316d6444af",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0320e655831da11b011cd0b67e2224d49a0d7539623fbd81e244722b316d6444af"
},
"R6": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4572676f205475746f7269616c73204578616d706c65,4578616d706c65206f66206372656174696e67206120726166666c6520666f72204572676f5475746f7269616c732e636f6d,3e23aea2332af12dc175ef9580956af8889e02d15c1fbbb730f5936e41d71da2]"
},
"R8": {
"serializedValue": "0e203e23aea2332af12dc175ef9580956af8889e02d15c1fbbb730f5936e41d71da2",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e23aea2332af12dc175ef9580956af8889e02d15c1fbbb730f5936e41d71da2"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
},
"R4": {
"serializedValue": "1106640a8094ebdc0380d0dbc3f402f4e84800",
"sigmaType": "Coll[SLong]",
"renderedValue": "[50,5,500000000,50000000000,596538,0]"
}
},
"spentTransactionId": "049fb0b42f8790cee5b6e56b9b5872c22dcca72f947465ee4d12238038197c3a",
"mainChain": true
},
{
"boxId": "9c928ba826f228381223c877fce67b4bb875fad5a45b6534ccf7fbf739f1a92c",
"transactionId": "354b0cd3b2e93a3ba38bb238320ff9b054f46c95e26bb3a3be773a7c066db537",
"blockId": "0bb6b3b752d7ed46d07b7d4afa67ba2a5f29d3bf3b7d2f3fa479faa972649918",
"value": 1500000,
"index": 2,
"globalIndex": 8333346,
"creationHeight": 596531,
"settlementHeight": 596533,
"ergoTree": "100604000402040004000e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b10400d804d601db6308b2a5730000d602b27201730100d603b2db6308a7730200d6048c720301d196830401938cb27201730300017304938c7202017204938c7202028c720302937204e4c6b2a4730500080e",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n5: 0",
"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}",
"address": "TwzjyySddUnYsBxgPrBqMMsCSVAyfv84TSLxMVPC5W4AXQWhxPEkbJiv1qEXv4BTmwGLBMPuRXTzgn48HENYVEKB4wmbEpiGAFCFHo6FiwurRfNwcqLJGVmtALoCmibQHchhruQLWmoH1GkojXvttzAszDLTENGfdEBCUQHhjGq9tWzRcq",
"assets": [
{
"tokenId": "3e23aea2332af12dc175ef9580956af8889e02d15c1fbbb730f5936e41d71da2",
"index": 0,
"amount": 1000000000,
"name": "Raffle_token: Ergo Tutorials Example",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e24526166666c655f746f6b656e3a204572676f205475746f7269616c73204578616d706c65",
"sigmaType": "Coll[SByte]",
"renderedValue": "526166666c655f746f6b656e3a204572676f205475746f7269616c73204578616d706c65"
},
"R5": {
"serializedValue": "0e24526166666c655f746f6b656e3a204572676f205475746f7269616c73204578616d706c65",
"sigmaType": "Coll[SByte]",
"renderedValue": "526166666c655f746f6b656e3a204572676f205475746f7269616c73204578616d706c65"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "049fb0b42f8790cee5b6e56b9b5872c22dcca72f947465ee4d12238038197c3a",
"mainChain": true
},
{
"boxId": "666c789982c2edc4b585d145a273d7bb8765bda60c45958a589f31213b125cc9",
"transactionId": "354b0cd3b2e93a3ba38bb238320ff9b054f46c95e26bb3a3be773a7c066db537",
"blockId": "0bb6b3b752d7ed46d07b7d4afa67ba2a5f29d3bf3b7d2f3fa479faa972649918",
"value": 1500000,
"index": 3,
"globalIndex": 8333347,
"creationHeight": 596531,
"settlementHeight": 596533,
"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": "b0da7f3b6e293ff2910c8860dd5b9b3b0f3bd198d4aee6c63b80f12d91988553",
"mainChain": true
}
],
"size": 1631,
"isUnconfirmed": false
}