Transaction
ID: 2faee4b176...3583
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.9808518 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9787518 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 152,696
Total coins transferred: 0.9858518 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000032 ERG
Raw Transaction Data
{
"id": "2faee4b1767f05696f9033281e15c56971e58789c844ddf89cf31eda8cb03583",
"blockId": "a9a20b52b4e8b8ace21eff31e1246468dd67975bd1cd60a96c54fc2a2f0ba0af",
"inclusionHeight": 1610308,
"timestamp": 1757589075228,
"index": 3,
"globalIndex": 9463369,
"numConfirmations": 152696,
"inputs": [
{
"boxId": "0eadfe2ce479aad169483e1cdc278680d807d7b11475428d108ea28ed2f76cb1",
"value": 5000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7afd5038a19d55fb442df2cdc29b6b055027e7ea1428257a771327ae8d3c61f8",
"outputTransactionId": "42dfbe0c558022c41eba62047bf51e668e16ed3cd5762ae5c821bf9e98cb391a",
"outputIndex": 0,
"outputGlobalIndex": 50158053,
"outputCreatedAt": 1609512,
"outputSettledAt": 1609514,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 0\n17: 0\n18: 1\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n25: 0\n26: 0\n27: true\n28: false\n29: 1\n30: 0\n31: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => blake2b256(box4.propositionBytes) == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val tuple7 = SELF.R6[(Boolean, Long)].get\n val l8 = tuple7._2\n val coll9 = INPUTS.filter({(box9: Box) => (((((((blake2b256(box9.propositionBytes) == coll4) && (box9.tokens.size > placeholder[Int](4))) && (box9.tokens(placeholder[Int](5))._1 == coll6)) && (box9.R6[(Boolean, Long)].get._2 == l8)) && (box9.R7[Coll[Byte]].get == coll2)) && box9.R4[Coll[Byte]].isDefined) && box9.R5[Coll[Byte]].isDefined) && box9.R8[Boolean].isDefined })\n val l10 = coll9.fold(placeholder[Long](6), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.tokens(placeholder[Int](7))._2 })\n val coll11 = CONTEXT.dataInputs\n val coll12 = coll11.filter({(box12: Box) => (((((((blake2b256(box12.propositionBytes) == coll4) && (box12.tokens.size > placeholder[Int](8))) && (box12.tokens(placeholder[Int](9))._1 == coll6)) && (box12.R6[(Boolean, Long)].get._2 == l8)) && (box12.R7[Coll[Byte]].get == coll2)) && box12.R4[Coll[Byte]].isDefined) && box12.R5[Coll[Byte]].isDefined) && box12.R8[Boolean].isDefined })\n val coll13 = OUTPUTS.filter({(box13: Box) => (((((((blake2b256(box13.propositionBytes) == coll4) && (box13.tokens.size > placeholder[Int](10))) && (box13.tokens(placeholder[Int](11))._1 == coll6)) && (box13.R6[(Boolean, Long)].get._2 == l8)) && (box13.R7[Coll[Byte]].get == coll2)) && box13.R4[Coll[Byte]].isDefined) && box13.R5[Coll[Byte]].isDefined) && box13.R8[Boolean].isDefined })\n val coll14 = coll9.flatMap({(box14: Box) =>\n val coll16 = box14.tokens\n val i17 = coll16.size\n if (i17 > placeholder[Int](12)) { coll16.slice(placeholder[Int](13), i17) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll15 = SELF.R4[Coll[Byte]].get\n ((((l10 + coll12.fold(placeholder[Long](14), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](15))._2 }) == l8) && (l10 == coll13.fold(placeholder[Long](16), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](17))._2 }))) && (coll14.fold(Coll[Coll[Byte]](), {(tuple16: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll18 = tuple16._1\n val coll19 = tuple16._2._1\n if (coll18.exists({(coll20: Coll[Byte]) => coll20 == coll19 })) { coll18 } else { coll18.append(Coll[Coll[Byte]](coll19)) }\n }).forall({(coll16: Coll[Byte]) => coll13.flatMap({(box18: Box) =>\n val coll20 = box18.tokens\n val i21 = coll20.size\n if (i21 > placeholder[Int](18)) { coll20.slice(placeholder[Int](19), i21) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](20), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) >= coll14.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](21), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) }) && (coll13.fold(placeholder[Long](22), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value }) >= coll9.fold(placeholder[Long](23), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value })))) && coll13.forall({(box16: Box) =>\n val tuple18 = (box16.R4[Coll[Byte]].get, box16.R5[Coll[Byte]].get)\n (coll11.filter({(box19: Box) => (blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](24)) && (box19.creationInfo._1 < HEIGHT) }).map({(box19: Box) => box19.tokens(placeholder[Int](25))._1 }).exists({(coll19: Coll[Byte]) => coll19 == coll15 }) && coll12.forall({(box19: Box) => (box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18 })) && coll13.forall({(box19: Box) => (box19.id == box16.id) || ((box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18) })\n })) && if (tuple7._1) { coll13.exists({(box16: Box) => ((((box16.tokens(placeholder[Int](26))._2 >= tuple5._2) && (box16.R4[Coll[Byte]].get == coll15)) && (box16.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box16.R6[(Boolean, Long)].get._1) && (box16.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](27) }\n )} else { placeholder[Boolean](28) } || if (coll3.size == placeholder[Int](29)) {(\n val box4 = coll3(placeholder[Int](30))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[(Boolean, Long)] == SELF.R6[(Boolean, Long)])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](31) })\n}",
"address": "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",
"assets": [
{
"tokenId": "2da371e44ef2083041fa048a55db55f7013d81f3c12ac79c3f814a282e1c7839",
"index": 0,
"amount": 100000000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e4032646133373165343465663230383330343166613034386135356462353566373031336438316633633132616337396333663831346132383265316337383339",
"sigmaType": "Coll[SByte]",
"renderedValue": "32646133373165343465663230383330343166613034386135356462353566373031336438316633633132616337396333663831346132383265316337383339"
},
"R6": {
"serializedValue": "3d05008084af5f",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[false,100000000]"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e20cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984",
"sigmaType": "Coll[SByte]",
"renderedValue": "cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984"
},
"R9": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e20be145b4248aae2535d4e0c39355e5e7ef7be703a2a3831ce58f02130c503b389",
"sigmaType": "Coll[SByte]",
"renderedValue": "be145b4248aae2535d4e0c39355e5e7ef7be703a2a3831ce58f02130c503b389"
}
}
},
{
"boxId": "41470c70726576b1a20d3dd30ebd9d58dc58d9fff0b8f245970337583a0215fd",
"value": 980851800,
"index": 1,
"spendingProof": "cc7c4b7c11b1eb3bc83d7c76402dda0443bd77ce34ff0839a8f31b053a9f0db54954869b9d62cfac5ff0d34d2f8bbcc362d0fe39d145f53f",
"outputBlockId": "b7bb549afaec6e4a48c02d2caeda0707c9424aea309b9cf197e0d73641b7a213",
"outputTransactionId": "3e3723dcd8a6344ce38e624108e5051497d0dde1381a55e05ee5a9fbfb6d44e2",
"outputIndex": 2,
"outputGlobalIndex": 50174797,
"outputCreatedAt": 1610255,
"outputSettledAt": 1610256,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 0,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 1,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 2,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
"index": 3,
"amount": 10000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 4,
"amount": 96951100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 5,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 6,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 7,
"amount": 99981000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 8,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 9,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 10,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 11,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "43d65ae9a54505543aa7975fe2ea857e24f0caeb3049e0c3abcac231371caea6",
"value": 1000000,
"index": 0,
"outputBlockId": "acaa878c98585b45883cda20c1316d4406b69a18a8ce63ba65b2369954152974",
"outputTransactionId": "93cb82df92b773306c3e51f4c7df7a80a5b9d282ff64778c903eae320db7ba6f",
"outputIndex": 0,
"ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
"address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0a506c61696e2054657874",
"sigmaType": "Coll[SByte]",
"renderedValue": "506c61696e2054657874"
},
"R5": {
"serializedValue": "0e10506c61696e205554462d382054657874",
"sigmaType": "Coll[SByte]",
"renderedValue": "506c61696e205554462d382054657874"
},
"R6": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "c3729dc7fc091d89d5d5e21f59a6ee2576e44e8ac856190587b4172d7fd6021f",
"value": 1000000,
"index": 1,
"outputBlockId": "7de48408f4aefe1738e64145dc0f9bff450856ec26f8e10364c3276149061933",
"outputTransactionId": "bf6463a9e5f4bdeaab755e7bc0a721f7b2c51accb8be65b014b9040cc999fa0d",
"outputIndex": 0,
"ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
"address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e24536f6c76657220526570726f6475636962696c69747920566572646963742028476f5029",
"sigmaType": "Coll[SByte]",
"renderedValue": "536f6c76657220526570726f6475636962696c69747920566572646963742028476f5029"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "5573656420746f20697373756520612076657264696374206f6e2074686520746563686e6963616c2076616c6964697479206f662061202a2a47616d65206f662050726f6d7074732a2a2070617274696369706174696f6e2e2041206a7564676520766f74657320746f20636f6e6669726d2069662074686520736f6c766572206973206f627461696e61626c6520616e642069662069747320657865637574696f6e20666169746866756c6c7920726570726f64756365732074686520726573756c747320286c6f67732c2073636f726529206465636c6172656420627920746865207061727469636970616e7420756e6465722074686520676976656e20636f6e646974696f6e732028736565642c20617474656d7074732c207265736f7572636573292e"
},
"R6": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "d63fb88f9acd18398c61ccd36498cd7110d5a9f6915e99b21bb8529129ff9650",
"value": 1000000,
"index": 2,
"outputBlockId": "fa892b886f046c14ae02965845f085a0f4f74fa64f7fe0de6127f51bdaab2ef1",
"outputTransactionId": "a428bfed977189d1bb7f743c29c9f79bdf72a230df24e390a130d745c4af96fc",
"outputIndex": 0,
"ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
"address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e104a7564676520526f6c652028476f5029",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a7564676520526f6c652028476f5029"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R6": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
}
}
],
"outputs": [
{
"boxId": "ec95dac80d48d8f94ad2491e2d276329301d71eb2674ea5c066137fd6f4eec13",
"transactionId": "2faee4b1767f05696f9033281e15c56971e58789c844ddf89cf31eda8cb03583",
"blockId": "a9a20b52b4e8b8ace21eff31e1246468dd67975bd1cd60a96c54fc2a2f0ba0af",
"value": 5000000,
"index": 0,
"globalIndex": 50175563,
"creationHeight": 1610307,
"settlementHeight": 1610308,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 0\n17: 0\n18: 1\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n25: 0\n26: 0\n27: true\n28: false\n29: 1\n30: 0\n31: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => blake2b256(box4.propositionBytes) == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val tuple7 = SELF.R6[(Boolean, Long)].get\n val l8 = tuple7._2\n val coll9 = INPUTS.filter({(box9: Box) => (((((((blake2b256(box9.propositionBytes) == coll4) && (box9.tokens.size > placeholder[Int](4))) && (box9.tokens(placeholder[Int](5))._1 == coll6)) && (box9.R6[(Boolean, Long)].get._2 == l8)) && (box9.R7[Coll[Byte]].get == coll2)) && box9.R4[Coll[Byte]].isDefined) && box9.R5[Coll[Byte]].isDefined) && box9.R8[Boolean].isDefined })\n val l10 = coll9.fold(placeholder[Long](6), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.tokens(placeholder[Int](7))._2 })\n val coll11 = CONTEXT.dataInputs\n val coll12 = coll11.filter({(box12: Box) => (((((((blake2b256(box12.propositionBytes) == coll4) && (box12.tokens.size > placeholder[Int](8))) && (box12.tokens(placeholder[Int](9))._1 == coll6)) && (box12.R6[(Boolean, Long)].get._2 == l8)) && (box12.R7[Coll[Byte]].get == coll2)) && box12.R4[Coll[Byte]].isDefined) && box12.R5[Coll[Byte]].isDefined) && box12.R8[Boolean].isDefined })\n val coll13 = OUTPUTS.filter({(box13: Box) => (((((((blake2b256(box13.propositionBytes) == coll4) && (box13.tokens.size > placeholder[Int](10))) && (box13.tokens(placeholder[Int](11))._1 == coll6)) && (box13.R6[(Boolean, Long)].get._2 == l8)) && (box13.R7[Coll[Byte]].get == coll2)) && box13.R4[Coll[Byte]].isDefined) && box13.R5[Coll[Byte]].isDefined) && box13.R8[Boolean].isDefined })\n val coll14 = coll9.flatMap({(box14: Box) =>\n val coll16 = box14.tokens\n val i17 = coll16.size\n if (i17 > placeholder[Int](12)) { coll16.slice(placeholder[Int](13), i17) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll15 = SELF.R4[Coll[Byte]].get\n ((((l10 + coll12.fold(placeholder[Long](14), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](15))._2 }) == l8) && (l10 == coll13.fold(placeholder[Long](16), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](17))._2 }))) && (coll14.fold(Coll[Coll[Byte]](), {(tuple16: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll18 = tuple16._1\n val coll19 = tuple16._2._1\n if (coll18.exists({(coll20: Coll[Byte]) => coll20 == coll19 })) { coll18 } else { coll18.append(Coll[Coll[Byte]](coll19)) }\n }).forall({(coll16: Coll[Byte]) => coll13.flatMap({(box18: Box) =>\n val coll20 = box18.tokens\n val i21 = coll20.size\n if (i21 > placeholder[Int](18)) { coll20.slice(placeholder[Int](19), i21) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](20), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) >= coll14.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](21), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) }) && (coll13.fold(placeholder[Long](22), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value }) >= coll9.fold(placeholder[Long](23), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value })))) && coll13.forall({(box16: Box) =>\n val tuple18 = (box16.R4[Coll[Byte]].get, box16.R5[Coll[Byte]].get)\n (coll11.filter({(box19: Box) => (blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](24)) && (box19.creationInfo._1 < HEIGHT) }).map({(box19: Box) => box19.tokens(placeholder[Int](25))._1 }).exists({(coll19: Coll[Byte]) => coll19 == coll15 }) && coll12.forall({(box19: Box) => (box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18 })) && coll13.forall({(box19: Box) => (box19.id == box16.id) || ((box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18) })\n })) && if (tuple7._1) { coll13.exists({(box16: Box) => ((((box16.tokens(placeholder[Int](26))._2 >= tuple5._2) && (box16.R4[Coll[Byte]].get == coll15)) && (box16.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box16.R6[(Boolean, Long)].get._1) && (box16.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](27) }\n )} else { placeholder[Boolean](28) } || if (coll3.size == placeholder[Int](29)) {(\n val box4 = coll3(placeholder[Int](30))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[(Boolean, Long)] == SELF.R6[(Boolean, Long)])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](31) })\n}",
"address": "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",
"assets": [
{
"tokenId": "2da371e44ef2083041fa048a55db55f7013d81f3c12ac79c3f814a282e1c7839",
"index": 0,
"amount": 99999999,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e4032646133373165343465663230383330343166613034386135356462353566373031336438316633633132616337396333663831346132383265316337383339",
"sigmaType": "Coll[SByte]",
"renderedValue": "32646133373165343465663230383330343166613034386135356462353566373031336438316633633132616337396333663831346132383265316337383339"
},
"R6": {
"serializedValue": "3d05008084af5f",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[false,100000000]"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e20cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984",
"sigmaType": "Coll[SByte]",
"renderedValue": "cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984"
},
"R9": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e20be145b4248aae2535d4e0c39355e5e7ef7be703a2a3831ce58f02130c503b389",
"sigmaType": "Coll[SByte]",
"renderedValue": "be145b4248aae2535d4e0c39355e5e7ef7be703a2a3831ce58f02130c503b389"
}
},
"spentTransactionId": "c1ea2638fdbd7999390ee8fe41d0fd01e8899c807a6a189861e11f1d49f2a30f",
"mainChain": true
},
{
"boxId": "7448cfd200c1bb97368e4bd9698f6bd6c8a95932377a17608f16a69064cd5d71",
"transactionId": "2faee4b1767f05696f9033281e15c56971e58789c844ddf89cf31eda8cb03583",
"blockId": "a9a20b52b4e8b8ace21eff31e1246468dd67975bd1cd60a96c54fc2a2f0ba0af",
"value": 1000000,
"index": 1,
"globalIndex": 50175564,
"creationHeight": 1610307,
"settlementHeight": 1610308,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 0\n17: 0\n18: 1\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n25: 0\n26: 0\n27: true\n28: false\n29: 1\n30: 0\n31: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => blake2b256(box4.propositionBytes) == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val tuple7 = SELF.R6[(Boolean, Long)].get\n val l8 = tuple7._2\n val coll9 = INPUTS.filter({(box9: Box) => (((((((blake2b256(box9.propositionBytes) == coll4) && (box9.tokens.size > placeholder[Int](4))) && (box9.tokens(placeholder[Int](5))._1 == coll6)) && (box9.R6[(Boolean, Long)].get._2 == l8)) && (box9.R7[Coll[Byte]].get == coll2)) && box9.R4[Coll[Byte]].isDefined) && box9.R5[Coll[Byte]].isDefined) && box9.R8[Boolean].isDefined })\n val l10 = coll9.fold(placeholder[Long](6), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.tokens(placeholder[Int](7))._2 })\n val coll11 = CONTEXT.dataInputs\n val coll12 = coll11.filter({(box12: Box) => (((((((blake2b256(box12.propositionBytes) == coll4) && (box12.tokens.size > placeholder[Int](8))) && (box12.tokens(placeholder[Int](9))._1 == coll6)) && (box12.R6[(Boolean, Long)].get._2 == l8)) && (box12.R7[Coll[Byte]].get == coll2)) && box12.R4[Coll[Byte]].isDefined) && box12.R5[Coll[Byte]].isDefined) && box12.R8[Boolean].isDefined })\n val coll13 = OUTPUTS.filter({(box13: Box) => (((((((blake2b256(box13.propositionBytes) == coll4) && (box13.tokens.size > placeholder[Int](10))) && (box13.tokens(placeholder[Int](11))._1 == coll6)) && (box13.R6[(Boolean, Long)].get._2 == l8)) && (box13.R7[Coll[Byte]].get == coll2)) && box13.R4[Coll[Byte]].isDefined) && box13.R5[Coll[Byte]].isDefined) && box13.R8[Boolean].isDefined })\n val coll14 = coll9.flatMap({(box14: Box) =>\n val coll16 = box14.tokens\n val i17 = coll16.size\n if (i17 > placeholder[Int](12)) { coll16.slice(placeholder[Int](13), i17) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll15 = SELF.R4[Coll[Byte]].get\n ((((l10 + coll12.fold(placeholder[Long](14), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](15))._2 }) == l8) && (l10 == coll13.fold(placeholder[Long](16), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.tokens(placeholder[Int](17))._2 }))) && (coll14.fold(Coll[Coll[Byte]](), {(tuple16: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll18 = tuple16._1\n val coll19 = tuple16._2._1\n if (coll18.exists({(coll20: Coll[Byte]) => coll20 == coll19 })) { coll18 } else { coll18.append(Coll[Coll[Byte]](coll19)) }\n }).forall({(coll16: Coll[Byte]) => coll13.flatMap({(box18: Box) =>\n val coll20 = box18.tokens\n val i21 = coll20.size\n if (i21 > placeholder[Int](18)) { coll20.slice(placeholder[Int](19), i21) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](20), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) >= coll14.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll16 }).fold(placeholder[Long](21), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }) }) && (coll13.fold(placeholder[Long](22), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value }) >= coll9.fold(placeholder[Long](23), {(tuple16: (Long, Box)) => tuple16._1 + tuple16._2.value })))) && coll13.forall({(box16: Box) =>\n val tuple18 = (box16.R4[Coll[Byte]].get, box16.R5[Coll[Byte]].get)\n (coll11.filter({(box19: Box) => (blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](24)) && (box19.creationInfo._1 < HEIGHT) }).map({(box19: Box) => box19.tokens(placeholder[Int](25))._1 }).exists({(coll19: Coll[Byte]) => coll19 == coll15 }) && coll12.forall({(box19: Box) => (box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18 })) && coll13.forall({(box19: Box) => (box19.id == box16.id) || ((box19.R4[Coll[Byte]].get, box19.R5[Coll[Byte]].get) != tuple18) })\n })) && if (tuple7._1) { coll13.exists({(box16: Box) => ((((box16.tokens(placeholder[Int](26))._2 >= tuple5._2) && (box16.R4[Coll[Byte]].get == coll15)) && (box16.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box16.R6[(Boolean, Long)].get._1) && (box16.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](27) }\n )} else { placeholder[Boolean](28) } || if (coll3.size == placeholder[Int](29)) {(\n val box4 = coll3(placeholder[Int](30))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[(Boolean, Long)] == SELF.R6[(Boolean, Long)])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](31) })\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "36383039643335326536643638386562363030383238643230323931363037316130376562616166333834333734306662326366393064343266653539386466"
},
"R6": {
"serializedValue": "3d05018084af5f",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[true,100000000]"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e20cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984",
"sigmaType": "Coll[SByte]",
"renderedValue": "cedca8dc7be135c9ae7cae80a953cb3d798d4956cc7b3fac10a4cb1f4a092984"
},
"R9": {
"serializedValue": "0e046e756c6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "6e756c6c"
},
"R4": {
"serializedValue": "0e208299d98e15ebee7fa39ad716de7c8bb191790a1bf4b7c3f91af35a0e36187706",
"sigmaType": "Coll[SByte]",
"renderedValue": "8299d98e15ebee7fa39ad716de7c8bb191790a1bf4b7c3f91af35a0e36187706"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "cd7d184681eedb6675fc5423def6cd2efcae7afaff04687679fa8342845b3bc5",
"transactionId": "2faee4b1767f05696f9033281e15c56971e58789c844ddf89cf31eda8cb03583",
"blockId": "a9a20b52b4e8b8ace21eff31e1246468dd67975bd1cd60a96c54fc2a2f0ba0af",
"value": 1100000,
"index": 2,
"globalIndex": 50175565,
"creationHeight": 1610307,
"settlementHeight": 1610308,
"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)}",
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"additionalRegisters": {},
"spentTransactionId": "d6aa44fd5cfbfba9cecb02835d7897e02c3c063c3f7a85e88ccf82d6085ff1a6",
"mainChain": true
},
{
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"index": 3,
"globalIndex": 50175566,
"creationHeight": 1610307,
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
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"type": "EIP-004"
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}