Transaction
ID: 3361766294...a476
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
763.79 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
763.74 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 301,260
Total coins transferred: 764.8 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000323 ERG
Raw Transaction Data
{
"id": "33617662940271a99c0e6133ef8992a7ef061d8ba7f3536e96c9a3616661a476",
"blockId": "31e4de760370901731db5d447354af3d83ddb8d61f7885ee2381949683a38d8c",
"inclusionHeight": 1468570,
"timestamp": 1740426989304,
"index": 6,
"globalIndex": 8628593,
"numConfirmations": 301260,
"inputs": [
{
"boxId": "4f7f59ac72ae979192e0e0e02e1369ec3bb1ef4561765387e7a3b5d86337aec1",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "116b41dc344758df0c9e377231cad687366c72af4349fca5c2ae8b87cfce9383",
"outputTransactionId": "988ea16de22f956d44c20c9e0e85375e7046367c2920a4ee7ccefc651ce3bce6",
"outputIndex": 0,
"outputGlobalIndex": 46470574,
"outputCreatedAt": 1468554,
"outputSettledAt": 1468556,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "f84c0ea072a10da0ab04c01695ddad3f8d44e125fc238c9afe8c0483e5106cc8",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 9,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d65101002020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,8,8,1,1,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402b87d51b3e8cce3904aff6fbe0684bb2c5e1cee6c57fc03c4040e8f0697f3b1db0407200026c77196bbb1aa7c716bd25390cfbf565d01c0633542b3f0d8e9d693da63313c01072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "64b4ef6976bf0ff014f8237f11a8447f26342fec1fed6a9bc76bb4c858304fb3",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "8f371ebc8683986bcad15b26e39a2b58c0c88a807917cb6899f521318b7e790b",
"outputTransactionId": "1d6eea46f873521d899e2ffa3b702d9a474d9ea275791fe62b279dd1013446d2",
"outputIndex": 1,
"outputGlobalIndex": 46342052,
"outputCreatedAt": 1464866,
"outputSettledAt": 1464868,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "45b0e8e3e390a591555a1dd83a45005e5ade542a785005e1b8d529f367f7fead",
"value": 763794683177,
"index": 2,
"spendingProof": "84e45f4023b13dd4112ec5652ac368b346a878970a25e5db59d197740ce6ed4d3042a0a168a7a52a01f94c989d7db6b934717d63a1f82d57",
"outputBlockId": "ef02cc9f0889c473cdec5c2cace28613469ea2ad969be943c90af7753366cbd9",
"outputTransactionId": "95065095302aed4a334a38f178c79706613e2b98a15fd8b2fe1b6f096a27f2a0",
"outputIndex": 2,
"outputGlobalIndex": 46344043,
"outputCreatedAt": 1464928,
"outputSettledAt": 1464932,
"ergoTree": "0008cd0300ee884cc25fef795bf5349740ac5d4672a40f6d751fceead38b9c83621a2c23",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ee884c,36df94,...)))}",
"address": "9gUDVVx75KyZ783YLECKngb1wy8KVwEfk3byjdfjUyDVAELAPUN",
"assets": [
{
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"name": "Flame Shards",
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"type": "EIP-004"
},
{
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"index": 1,
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"name": "DevDAO Membership",
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"type": "EIP-004"
},
{
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},
{
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{
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{
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"index": 41,
"amount": 930000000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "b8c7f6c351ea0ad46ac12ec38381e8edf29519e4bc44abc11a042bd0d7aab1fb",
"index": 42,
"amount": 1,
"name": "TESTSIGMAPOOL-NFT-5",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "48239ff2588591d2ee3fc03f5571558b6d4a33ec97d5671eb2a540276efd526a",
"index": 43,
"amount": 268158105382,
"name": "Ergo_34d449dc_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f9a93f2e78c959426ecc74e9194fe7049e53bb49f3afd80f77f90f3ad95eb789",
"index": 44,
"amount": 1,
"name": "Mac Pro",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
"index": 45,
"amount": 92500,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ca0ed0092eaaa22b6bfcc407d221b3aaa5c8f643e843cb6aafff6af955947675",
"index": 46,
"amount": 1029999998,
"name": "PDV",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0",
"index": 47,
"amount": 15454,
"name": "rsBTC",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "86cfd128839415b1ab53a077235a5f2d288a3e8479c22937ad2f685619bcc8e1",
"index": 48,
"amount": 118998088219,
"name": "Mew Fund #37 ERG/COCKMEMETUM LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 49,
"amount": 961,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b026d5634787e82b0b7b35daec0994db64153dc7a94003bd203bd4224b9c5137",
"index": 50,
"amount": 1,
"name": "TESTSIGMAPOOL-NFT-4",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9b9730a18f914ef36d3e284df16eca0e3ed28d8bd5827024ade420d5ff5c26d8",
"index": 51,
"amount": 1,
"name": "ProxyToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "17761b0afe795487971ab3a84fbbadddc568c011007ea68942a3b99d81e3d4e7",
"index": 52,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b7912b3d75e8faa02fdf17a9242ce9f087fb6453b9278fb19c57fe1af6235e0c",
"index": 53,
"amount": 1,
"name": "Cybercitizen #5981",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a8939dbf45202a30a9f098747e04a082dcacceb222c60d671dde721cff85991e",
"index": 54,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "176d97bcdd1b206fb2f1c1c91702267885d35014534a6e9b24adb9dee73fc38d",
"index": 55,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fa76ac3f7b1511bb0ed25d58af6c849545c3bd8f73c08cb6ac778755b16d3a65",
"index": 56,
"amount": 1,
"name": "Cybercitizen #4044",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1465c9b9de602bd75f8f38df83118e2c8b1d5b2f5518514dd1438149053652a8",
"index": 57,
"amount": 57000000,
"name": "Dark Erdoge",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "71606a277d27d7461b256fc01a7e9812ade12a9e4b0177569109ed8e45e7eda8",
"index": 58,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "12fbc209fe1159019ea7430a315e9a73302e47fa2405888ad25270c5b71ce174",
"index": 59,
"amount": 1,
"name": "CyberCar #464",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f3fc827810b666277941dc78b7966ebf11a13dcf454e7a418a8aa7c0f5869a50",
"index": 60,
"amount": 1,
"name": "TESTSIGMAPOOL-NFT-3",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
"index": 61,
"amount": 16096063,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "6ed546c6c771ec276bfc3bfbf44dff5884d7a9fc546c0fdfd029a08a281e9a3e",
"index": 62,
"amount": 1,
"name": "Cybercitizen #6529",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "919be0b1063f2eb3f1aa0ad0b8753d6564f97658b5986908e2734cb22b2a35b0",
"index": 63,
"amount": 159902880000,
"name": "COCKMEMETUM",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "8b5e1bc285234f609570e5bcbecc2f41f5f0f86481601dc8bacca1b00f7b0329",
"index": 64,
"amount": 1,
"name": "TESTSIGMAPOOL-NFT-5",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "270619a2c297c0818e8afc59c8a0ae679fed0c3d91d9295384f4203f23db651a",
"index": 65,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cd36531998495d1a93539453fa4399360873402cdfde2233bfbbfc523d378d49",
"index": 66,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "48c440d82c7749dbaa5ab8b6169f57d1ddafdf4e2f9380f4aad1aca12c64442e",
"index": 67,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a3c37e6b95effc0ed6beb439eafd8d10b4384bdf34bcfab167a34ac43fdf5897",
"index": 68,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3e12231f64a415cee83b1e852b883ffc366014cfc6f0e11204ec790550d70121",
"index": 69,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa11470f16d9f13ed3073f497d7934a390b22a1400c8acead209406db38eb68a",
"index": 70,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "322e5fe76476fa8bde019f51de96adb59d472efb47f546cef9b8c92d9e776fd1",
"index": 71,
"amount": 1,
"name": "ErgoHack VIII Community Awards Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7543644db672cfa028695e635b3c66bf21fd13685751f11590639016a0b95ee8",
"index": 72,
"amount": 1,
"name": "Cybercitizen #4778",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2fc708364db30fba73634e74dfbd6d946f44766fce71721de925e5167a68b376",
"index": 73,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "21b87abc1710cc5297692c3633c7d0ebe5ad2ed0d06da9bcd763e0c90125b00d",
"value": 1000000000,
"index": 0,
"outputBlockId": "e3562b06a1aaa22fd1df6eb8297840009cc40b3a4c11429826f16579406033e7",
"outputTransactionId": "66c0cff30896b98419ca593c5cdad5965a2295799a73a5688bded8426a049a29",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6461f57ca48e4306a5fbb82d3d4d88a6213fe66d7f38542f0fcab1227c4104ee7a06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "fda8777ef9a77420f29172e0281b66809c9feaf5c1767985af2e7de0d4aa3bf9",
"transactionId": "33617662940271a99c0e6133ef8992a7ef061d8ba7f3536e96c9a3616661a476",
"blockId": "31e4de760370901731db5d447354af3d83ddb8d61f7885ee2381949683a38d8c",
"value": 1000000000,
"index": 0,
"globalIndex": 46470821,
"creationHeight": 1468568,
"settlementHeight": 1468570,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "f84c0ea072a10da0ab04c01695ddad3f8d44e125fc238c9afe8c0483e5106cc8",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 10,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d65121202020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,9,9,1,1,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c640266522d87904b0191467d426c4b08a247e1d19d679c8eb9ff3c9875adbe1161dd0407200026c77196bbb1aa7c716bd25390cfbf565d01c0633542b3f0d8e9d693da63313c01072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "6efd0e4c93119d891ee5461c031cce0e4f211e2e7d12cffdd4da794bcbaa2bf7",
"mainChain": true
},
{
"boxId": "05f29c287215d8934fc3a80b4630da089e93cb0fc4a0f9140adb3e4d2ef50cae",
"transactionId": "33617662940271a99c0e6133ef8992a7ef061d8ba7f3536e96c9a3616661a476",
"blockId": "31e4de760370901731db5d447354af3d83ddb8d61f7885ee2381949683a38d8c",
"value": 1000000,
"index": 1,
"globalIndex": 46470822,
"creationHeight": 1468568,
"settlementHeight": 1468570,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-105,-14,75,98,10,-11,-112,18,-124,30,119,118,21,-93,55,-12,120,-123,-79,-55,83,-91,46,-57,-99,127,45,-52,-39,-104,-24,100)\n1: Coll(-8,76,14,-96,114,-95,13,-96,-85,4,-64,22,-107,-35,-83,63,-115,68,-31,37,-4,35,-116,-102,-2,-116,4,-125,-27,16,108,-56)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
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