Transaction
ID: 40ccae341f...c17c
Inputs (1)
Spent
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Output transaction:
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Value:
0.0476 ERG
Tokens:
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Outputs (21)
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.001 ERG
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0.0276 ERG
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Transaction Details
Confirmations: 1,020,649
Total coins transferred: 0.0476 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000102 ERG
Raw Transaction Data
{
"id": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"inclusionHeight": 740190,
"timestamp": 1651413117275,
"index": 2,
"globalIndex": 3092121,
"numConfirmations": 1020649,
"inputs": [
{
"boxId": "cfd637cfa089af6b674139bf831be895f3ba44346dfa56fa469ca6c277231563",
"value": 47600000,
"index": 0,
"spendingProof": "66c7f55259fcf74dbe944d5bdfd5643722290d3793b52f1f38486bc87d21734bfecedfb08e1fd5745346d669c2b3ee6c57f964a59529c3c7",
"outputBlockId": "e46003d9e68f30c1323fec91b7a6606e545c18c77b6bc8009f7ff7542c13384e",
"outputTransactionId": "65606dc0adfa179a17f24dfb095e3a9daea9b5277233afa323ff71b22172e93b",
"outputIndex": 2,
"outputGlobalIndex": 16175631,
"outputCreatedAt": 740186,
"outputSettledAt": 740188,
"ergoTree": "0008cd037d50d2b3261be9e8db947f2518b74129b9a83b721f542d8cd256f777e5addd9a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7d50d2,d33450,...)))}",
"address": "9hQziKQiyXYNcR4PUioFzkeTPxjaT8Ghu54do4k6no8yB6xpx3d",
"assets": [
{
"tokenId": "cf517f232c7c9e456bf9d79aa7332402213da8a16ca57b68a8cc1e515ed6e2c9",
"index": 0,
"amount": 200000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a699d8e6467a9d0bb32d84c135b05dfb0cdddd4fc8e2caa9b9af0aa2666a3a6f",
"index": 1,
"amount": 190000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 2,
"amount": 999839,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9964d772bf117742c02679f2d715c8ec130aa87015fe2688ab2dd3f22878d351",
"index": 3,
"amount": 190000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7ebc13c71e6eb112e6437fbe5817b31d9e65fe8ae82db61b4df2bcade32beb0f",
"transactionId": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"value": 1000000,
"index": 0,
"globalIndex": 16175696,
"creationHeight": 740188,
"settlementHeight": 740190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
"address": "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",
"assets": [
{
"tokenId": "a699d8e6467a9d0bb32d84c135b05dfb0cdddd4fc8e2caa9b9af0aa2666a3a6f",
"index": 0,
"amount": 10000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 1,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "f02d75242c53681965b1d59f47d2622571690d2634ed4dc27d4fbd4371e20d7b",
"mainChain": true
},
{
"boxId": "1880646d6f5da2ff057bf9feb36ed7de241a4a986e816b6542176d86dbb84158",
"transactionId": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"value": 1000000,
"index": 1,
"globalIndex": 16175697,
"creationHeight": 740188,
"settlementHeight": 740190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
"address": "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",
"assets": [
{
"tokenId": "a699d8e6467a9d0bb32d84c135b05dfb0cdddd4fc8e2caa9b9af0aa2666a3a6f",
"index": 0,
"amount": 10000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 1,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "889649eb2a8f65ffc8a242b0b290b02417f741d79ad5a70267011fe285ee28b6",
"mainChain": true
},
{
"boxId": "f03e2d7d217f814d4d499a9d59e60bfa93e9515ea163b5447a8322202210264d",
"transactionId": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"value": 1000000,
"index": 2,
"globalIndex": 16175698,
"creationHeight": 740188,
"settlementHeight": 740190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"index": 5,
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"ergoTree": "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",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"index": 9,
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"creationHeight": 740188,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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{
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"index": 11,
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"creationHeight": 740188,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"name": "$COMET Refund Ticket",
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"type": "EIP-004"
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{
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"value": 1000000,
"index": 12,
"globalIndex": 16175708,
"creationHeight": 740188,
"settlementHeight": 740190,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"type": "EIP-004"
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{
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"index": 14,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"name": "$COMET Refund Ticket",
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"type": "EIP-004"
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{
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"index": 15,
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"creationHeight": 740188,
"settlementHeight": 740190,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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{
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"index": 17,
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"creationHeight": 740188,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
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"name": "$COMET Refund Ticket",
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"type": "EIP-004"
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{
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"value": 1000000,
"index": 18,
"globalIndex": 16175714,
"creationHeight": 740188,
"settlementHeight": 740190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-90,-103,-40,-26,70,122,-99,11,-77,45,-124,-63,53,-80,93,-5,12,-35,-35,79,-56,-30,-54,-87,-71,-81,10,-94,102,106,58,111)\n3: 0\n4: 15\n5: 100000\n6: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n7: 1\n8: 15\n9: 100000\n10: 1\n11: 1\n12: 1\n13: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n14: 1550468\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))\n17: 2",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val bool4 = allOf(Coll[Boolean](box1.propositionBytes == SELF.propositionBytes, box1.R4[Coll[Byte]].get == SELF.id, tuple3._1 == placeholder[Coll[Byte]](2)))\n val l5 = box1.value\n val l6 = SELF.value\n val coll7 = SELF.tokens\n val l8 = coll7(placeholder[Int](3))._2\n val l9 = placeholder[Long](4) * l5 - l6 / placeholder[Long](5)\n val l10 = tuple3._2\n val coll11 = placeholder[Coll[Byte]](6)\n val l12 = coll7(placeholder[Int](7))._2\n val l13 = placeholder[Long](8) * l6 - l5 / placeholder[Long](9)\n val bool14 = l10 == l8\n val tuple15 = coll2(placeholder[Int](10))\n val bool16 = tuple15._1 == coll11\n val l17 = tuple15._2\n sigmaProp(bool4 && if (l5 > l6) {(\n val tuple18 = coll2(placeholder[Int](11))\n allOf(Coll[Boolean](l10 >= l8 - l9, tuple18._1 == coll11, tuple18._2 >= l12 - l9))\n )} else {(\n val tuple18 = coll2(placeholder[Int](12))\n allOf(Coll[Boolean](l10 >= l8 + l13, tuple18._1 == coll11, tuple18._2 >= l12 + l13))\n )}) || placeholder[SigmaProp](13) && sigmaProp(HEIGHT > placeholder[Int](14)) || sigmaProp(\n bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= placeholder[Long](15)))\n ) && placeholder[SigmaProp](16) || sigmaProp(bool4 && allOf(Coll[Boolean](bool14, bool16, l17 >= l12, OUTPUTS.size == placeholder[Int](17))))\n}",
"address": "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",
"assets": [
{
"tokenId": "a699d8e6467a9d0bb32d84c135b05dfb0cdddd4fc8e2caa9b9af0aa2666a3a6f",
"index": 0,
"amount": 10000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 15000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4b8c603aafab198fe0526b4e0d945ee8835c6db6e00d87961d30b3a4297f3854",
"mainChain": true
},
{
"boxId": "804e9bd6c812522feaade146a237ebfcd69aecfcb931eac0b5d724b9dda774f1",
"transactionId": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"value": 1000000,
"index": 19,
"globalIndex": 16175715,
"creationHeight": 740188,
"settlementHeight": 740190,
"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": "cddd942fe50edd8d849a0a156aa0351423b671a112e8bfd84b08a708557f3ebb",
"mainChain": true
},
{
"boxId": "77e7208c78dae87038a19eed7dd1f3b620c853ca8f9d5372b32685ed5c44d95a",
"transactionId": "40ccae341fe54586eed2da6ea1df2b6fbf757d4e68a5e575592443627bf3c17c",
"blockId": "c8012c4fa1cc45009fd1bb52e8d6b3978ec4ddffa856794e4c9daa897a39e447",
"value": 27600000,
"index": 20,
"globalIndex": 16175716,
"creationHeight": 740188,
"settlementHeight": 740190,
"ergoTree": "0008cd037d50d2b3261be9e8db947f2518b74129b9a83b721f542d8cd256f777e5addd9a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7d50d2,d33450,...)))}",
"address": "9hQziKQiyXYNcR4PUioFzkeTPxjaT8Ghu54do4k6no8yB6xpx3d",
"assets": [
{
"tokenId": "cf517f232c7c9e456bf9d79aa7332402213da8a16ca57b68a8cc1e515ed6e2c9",
"index": 0,
"amount": 200000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 984821,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9964d772bf117742c02679f2d715c8ec130aa87015fe2688ab2dd3f22878d351",
"index": 2,
"amount": 190000000000000000,
"name": "$COMET Refund Ticket",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "59605f20d6a495a48f939706682a1eb1b8fc70a55bba3bce0af18d15fa3d056a",
"mainChain": true
}
],
"size": 9772,
"isUnconfirmed": false
}