Transaction
ID: ce51f8b483...f9ea
Inputs (7)
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:
0.001 ERG
Tokens:
24.27
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
24.05
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
23.00
Spent
Address:
Output transaction:
Settlement height:
Value:
94.72 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Unspent
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:
94.67 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 309,338
Total coins transferred: 95.73 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000353 ERG
Raw Transaction Data
{
"id": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"inclusionHeight": 1460038,
"timestamp": 1739387237714,
"index": 94,
"globalIndex": 8579671,
"numConfirmations": 309338,
"inputs": [
{
"boxId": "1d7738b94324dd416165179e1789cc244db6a92ebf55d7a22613c66a241111fe",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c6df6f4a3a72c7d959bcfa1ef82695d683deb555cb569a4adf2006ceb57cab9c",
"outputTransactionId": "a9ce915a2c457b5048e76a5988c77c389bfd75ca498a6a6f226a35db40b8cf3d",
"outputIndex": 0,
"outputGlobalIndex": 46239895,
"outputCreatedAt": 1460034,
"outputSettledAt": 1460037,
"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": 6,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d650a0a00000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,5,5,0,0,0,0]"
},
"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": "0c6402e40724228d7edd0c832a5c405ecaf410c1348bbb85075d78d0f1929a75e14e53030720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "95e84cdfcccd97f208ccc955215588e743fde77ab4e02cd17e2dbb4c1351f864",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e3562b06a1aaa22fd1df6eb8297840009cc40b3a4c11429826f16579406033e7",
"outputTransactionId": "66c0cff30896b98419ca593c5cdad5965a2295799a73a5688bded8426a049a29",
"outputIndex": 3,
"outputGlobalIndex": 46005735,
"outputCreatedAt": 1450890,
"outputSettledAt": 1450892,
"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 coll1 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple2 = coll1(0)\n val coll3 = tuple2._1\n val func4 = {(coll4: Coll[Byte]) => byteArrayToLong(coll4.slice(8, 16)) }\n val coll5 = tuple2._2\n val l6 = func4(coll5)\n val func7 = {(box7: Box) => box7.R4[Coll[AvlTree]].get(0) }\n val func8 = {(tuple8: (Coll[Box], Coll[Byte])) =>\n tuple8._1.filter({(box10: Box) => box10.tokens.exists({(tuple12: (Coll[Byte], Long)) => tuple12._1 == tuple8._2 }) })\n }\n val coll9 = placeholder[Coll[Byte]](1)\n val box10 = func8((INPUTS, coll9))(0)\n val avlTree11 = func7(box10)\n val coll12 = getVar[Coll[Byte]](2.toByte).get\n val coll13 = avlTree11.get(coll3, coll12).get\n val l14 = func4(coll13)\n val l15 = l6 - l14\n val func16 = {(box16: Box) => box16.tokens(1) }\n val box17 = func8((OUTPUTS, coll9))(0)\n val func18 = {(box18: Box) => box18.R5[Coll[Long]].get(1) }\n val func19 = {(coll19: Coll[Byte]) => coll19.slice(0, coll19.size - 16 / 8).indices.map({(i21: Int) =>\n val i23 = i21 * 8\n byteArrayToLong(coll19.slice(i23 + 16, i23 + 8 + 16))\n }) }\n val coll20 = Coll[Long](l14).append(func19(coll13))\n val coll21 = Coll[Long](l6).append(func19(coll5))\n val coll22 = coll20.zip(coll21)\n val func23 = {(box23: Box) => box23.R4[Coll[AvlTree]].get(1) }\n val func24 = {(box24: Box) =>\n val coll26 = box24.R5[Coll[Long]].get\n coll26.slice(5, coll26.size)\n }\n val func25 = {(box25: Box) => box25.R5[Coll[Long]].get(0) }\n val func26 = {(box26: Box) => box26.R5[Coll[Long]].get(2) }\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(3) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(4) }\n val func29 = {(box29: Box) => box29.R6[Coll[Coll[Long]]].get }\n val func30 = {(box30: Box) => box30.R7[Coll[(AvlTree, AvlTree)]].get }\n val func31 = {(box31: Box) => box31.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple32: (Coll[Box], Coll[Byte])) =>\n tuple32._1.exists({(box34: Box) => box34.tokens.exists({(tuple36: (Coll[Byte], Long)) => tuple36._1 == tuple32._2 }) })\n }((OUTPUTS, coll3)), (l15 == func16(box17)._2 - func16(box10)._2) && (l15 == func18(box17) - func18(box10)), coll1.size == 1, avlTree11.update(\n coll1, coll12\n ).get.digest == func7(box17).digest, coll22.slice(1, coll22.size).forall({(tuple32: (Long, Long)) =>\n val l34 = tuple32._2\n (tuple32._1 >= l34) && (l34 >= 0L)\n }), coll20(1) - coll21(1) == box10.value - box17.value, {(tuple32: (Coll[Box], Coll[Byte])) =>\n tuple32._1.filter({(box34: Box) => blake2b256(box34.propositionBytes) == tuple32._2 })\n }(\n (\n OUTPUTS, {(opt32: Option[Coll[Byte]]) => opt32.get.slice(1, 33) }(\n {(box32: Box) => box32.R4[AvlTree].get }(func8((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, allOf(\n Coll[Boolean](\n func23(box17) == func23(box10), func24(box17) == func24(box10), func25(box17) == func25(box10), func26(box17) == func26(box10), func27(\n box17\n ) == func27(box10), func28(box17) == func28(box10), func29(box17) == func29(box10), func30(box17) == func30(box10), func31(box17) == func31(box10)\n )\n ), l6 >= l14\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "1e72b3c6f13a02774778eb530a2255927fc0b3d992e9fd1951b3b6d800332729",
"value": 1000000,
"index": 2,
"spendingProof": "249872de5c2d875580ff1fcc965150d5cc568bceb82c0b186e708ede1c9e1d238af8baa5c670f42a6cb6f33c2544f4f7f79534db49f01ede",
"outputBlockId": "f202b99ec7c259576db113e4877c88306bc1d2dc7ccc85b69d731f6b24b81d14",
"outputTransactionId": "764b52b4f4645e428c74c6774aeb0156a1c04c40ac733cf060f8cd3ddcd0d2c4",
"outputIndex": 27,
"outputGlobalIndex": 46235509,
"outputCreatedAt": 1459807,
"outputSettledAt": 1459809,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "9a2f05f8cc30fcd88aa39cf46eb1c6765f547c28a8240faa47f4bad4c6be46e5",
"index": 0,
"amount": 2427011,
"name": "Flame Shards",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "686d9cb499c1838e868a92c53e7665fb86b9436d1d583f063069b8437f5a6955",
"value": 1000000,
"index": 3,
"spendingProof": "c884c7ae6147d916fa5b275451b4d99b71cd823bf9daa36ee57cbfea7d2b19a40edb86af9324747d230bd0731f1ea6101aef103d2324c96b",
"outputBlockId": "551369e6f2b31c48c9ecb57bd72942cc5acb5e257d73cdb5aa6a98d0b092b991",
"outputTransactionId": "70df03179b98edd2abccba6ce0b88c28afd74e70688980c025cc8fe5cd8cf812",
"outputIndex": 27,
"outputGlobalIndex": 46235737,
"outputCreatedAt": 1459815,
"outputSettledAt": 1459817,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "9a2f05f8cc30fcd88aa39cf46eb1c6765f547c28a8240faa47f4bad4c6be46e5",
"index": 0,
"amount": 2405220,
"name": "Flame Shards",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "586cd75a6697310ec1441079f80b0d65a8f21e0373db2c38403d69ac2627f568",
"value": 1000000,
"index": 4,
"spendingProof": "f1b1a2a602c407dd3bcb8858bb355428d1ad6798011886ad714b32f632b54e1b71656fe753a389167022f040d352b19b95eba4d118d7a509",
"outputBlockId": "b30f15ccf1d53d9c91960b02461dd7742d14f2ff0920d449059debf6bc5d1ea3",
"outputTransactionId": "18c02ec68da8c460531a528ebc60eb440a9a90a10147c3281789bc58b3b2811c",
"outputIndex": 27,
"outputGlobalIndex": 46236044,
"outputCreatedAt": 1459824,
"outputSettledAt": 1459826,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "9a2f05f8cc30fcd88aa39cf46eb1c6765f547c28a8240faa47f4bad4c6be46e5",
"index": 0,
"amount": 2299967,
"name": "Flame Shards",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "6203a49b883f480d4f1944303bf683bbb1282a1980f6121567a67edf1cb1c7e6",
"value": 94720952429,
"index": 5,
"spendingProof": "535eb1da76f1b923cf1595f5a78e0d000d3ef33d2c846c77027e8caaf9ee88811c2f8aa2bf8b3f33c479be6e22c1fd58fde44c73422b5c2e",
"outputBlockId": "17adb484f7b9492ebd9e8072825bb3ed6622a2d5a05e77b3674fd6ad296485a5",
"outputTransactionId": "990b85c7d11a99485fd36e8efcf2e3c377ca520f32e5f9350a28247c1bed4672",
"outputIndex": 2,
"outputGlobalIndex": 46239664,
"outputCreatedAt": 1460028,
"outputSettledAt": 1460031,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
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"index": 0,
"amount": 92000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4,
"name": "AuctionCoin",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 29002546,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1,
"name": "rosen watcher tcg #2 joseph",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
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"name": "Bober",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 5,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 6,
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"name": "ProxyToken",
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"type": "EIP-004"
},
{
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"index": 7,
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"name": "Sigmanaut Mining Pool Miner ID - Season 0",
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},
{
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"name": "🤗",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"index": 11,
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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},
{
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},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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},
{
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},
{
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "Ergobotz #1",
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"type": "EIP-004"
},
{
"tokenId": "abe0a3c2f646dcd430aac9c29d80feee865bd8b5231edb545a41105d4c8e4985",
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"name": "BUNS",
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"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
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"name": "rsHOSKY",
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"type": "EIP-004"
},
{
"tokenId": "34d449dc84a27d0f8fb2166d415a7223604f6426fb2d83ee099f2312182d575d",
"index": 27,
"amount": 8832830746691,
"name": "PHP",
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"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
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"amount": 1071429,
"name": "Paideia",
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"type": "EIP-004"
},
{
"tokenId": "bd0c25c373ad606d78412ae1198133f4573b4e4c2d4ed3fc4c2a4547c6c6e12e",
"index": 29,
"amount": 165254413,
"name": "🤡",
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"type": "EIP-004"
},
{
"tokenId": "6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c",
"index": 30,
"amount": 3536,
"name": "MEW",
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"type": "EIP-004"
},
{
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"index": 31,
"amount": 132078458,
"name": "Wooden Nickels",
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"type": "EIP-004"
},
{
"tokenId": "012c74dcd0920ce0c3f9f3945d509ea07b33872f3f144b816bcd7b664b22d5b3",
"index": 32,
"amount": 1073182,
"name": "Troll",
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"type": "EIP-004"
},
{
"tokenId": "05504a1f4b7e28d26c9cb06f8a254ba08bca4ffbd5ef6a103dac424d206ad87e",
"index": 33,
"amount": 1,
"name": "Sigmanaut Mining DAO Back2Back Commemorative NFT #2",
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"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 34,
"amount": 150,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "843b5a2a0658550339c38f29827861fe459ce5206edaf17163113cccafc77af1",
"index": 35,
"amount": 2504030458269,
"name": "GIF",
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"type": "EIP-004"
},
{
"tokenId": "2486c279e097c3aeb8116239fca671b9000efa12d8f20c92ca5b7795a359e041",
"index": 36,
"amount": 2501074793534,
"name": "Fucks",
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"type": "EIP-004"
},
{
"tokenId": "1465c9b9de602bd75f8f38df83118e2c8b1d5b2f5518514dd1438149053652a8",
"index": 37,
"amount": 238363831,
"name": "Dark Erdoge",
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"type": "EIP-004"
},
{
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"index": 38,
"amount": 87562,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b780a9682ba1ea68eedfe3dd00169e414ea8968d96142ee95e2391d64df05c3d",
"index": 39,
"amount": 198975643157,
"name": "rsDIS",
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"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 40,
"amount": 14367753,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "af1a2e8005f6ffc9e291e121d1fb08795c5a079409b8ca56e20eb2f4f6f8553b",
"index": 41,
"amount": 7806938835,
"name": "🐶",
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"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 42,
"amount": 79297,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "919be0b1063f2eb3f1aa0ad0b8753d6564f97658b5986908e2734cb22b2a35b0",
"index": 43,
"amount": 109201840909,
"name": "COCKMEMETUM",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "3405d8f709a19479839597f9a22a7553bdfc1a590a427572787d7c44a88b6386",
"index": 44,
"amount": 149,
"name": "love",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "48553eaceb9edbc0adaed666c7ce26ccd7c919eef53b211a8b2ffcfb25ff97c0",
"index": 45,
"amount": 3901,
"name": "ProxyToken",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "3e0b62c7bc36bc7abf2bf76303722c31788aa579d771e427a0b2c8357da160ba",
"index": 46,
"amount": 18808904906,
"name": "∑rgonaut",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "02f31739e2e4937bb9afb552943753d1e3e9cdd1a5e5661949cb0cef93f907ea",
"index": 47,
"amount": 13207849,
"name": "Terahertz",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "c316e07ea2c2bb020c670bc2b926df5b7da318026d3a97920ed09e7fa4110f07",
"index": 48,
"amount": 130,
"name": "btc-SHARK",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f6fc7721184b59868d895e7463515b83abb467238f239809b6ef76717e444063",
"index": 49,
"amount": 78,
"name": "👽",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c31e95f0a332288a81839b6e7a227d4fa0d956b36be5f77a1998116352b24947",
"index": 50,
"amount": 1,
"name": "Ignifox",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "ef6620bfe46415a1804da3ab14e814168d90f174dc484526d2fec0bd63b5624e",
"value": 1000000,
"index": 6,
"spendingProof": "05686bc9e652d70a1897bef7f53013a7713e5ef89e25d9f78305aff05ccce30593712e2571554ed7af17c16e32cc45c0fe006566a6b84fa5",
"outputBlockId": "c6df6f4a3a72c7d959bcfa1ef82695d683deb555cb569a4adf2006ceb57cab9c",
"outputTransactionId": "a9ce915a2c457b5048e76a5988c77c389bfd75ca498a6a6f226a35db40b8cf3d",
"outputIndex": 2,
"outputGlobalIndex": 46239897,
"outputCreatedAt": 1460034,
"outputSettledAt": 1460037,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "aa791db0283791e8d6d6b632b4fd9c8b954df407b4b6a6737fac9e73c9f91919",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205369676d616e61757473204d696e696e672044414f204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d696e696e672044414f204d656d62657273686970"
},
"R5": {
"serializedValue": "0e435369676d616e61757473204d696e696e672044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d696e696e672044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
}
],
"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": "fd89ce04337565499b9584d14f1521ee4ac3ceb86cc263514bd56caa82864379",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 1000000000,
"index": 0,
"globalIndex": 46240354,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"ergoTree": "10010e2097f24b620af59012841e777615a337f47885b1c953a52ec79d7f2dccd998e864d80ed60183200202de02ae02cf025b026402ba02d602f50257020b02ad020a0261020c024e02480249025702cf0247028202300284020002bc02900240024c021d0214021002dad602d9010263e4c672020464d603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d604b2da7203018602db6501fe7300040000d605e3010ed606d9010632b4e4720604020442d607d9010763b2db63087207040000d608da720701a7d609b2da7203018602a58c720801040000d60ad9010a63b2db6308720a040200d60bd9010b0ed801d60ddc640bda72020172040283020e7201720be472059683020193b1dad9010e3c0c630eb58c720e01d901106393cbc272108c720e02018602a4da720601b2720d0402000402dad9010e0e9683030193cbc27209720e93da72070172097208938cda720a017209018cda720a01a70101da720601b2720d040000d60ce4e30002d60ddc0c1aa402a70400d60ed9010e05958f720e0580020402958f720e058080020404958f720e05808080020406958f720e0580808080020408958f720e05808080808002040a958f720e0580808080808002040c958f720e058080808080808002040e958f720e0580808080808080800204100412d197830801dad9010f029593720f0200da720b0183200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242010001720cdad9010f029593720f0202da720b01832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bd010001720cdad9010f029593720f0201da720b01832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280010001720cdad9010f029593720f0203da720b01832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c5010001720cdad9010f029593720f0204da720b018320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2010001720cdad9010f029593720f0205da720b01832002023a02110295025c0247021902e5028802bc02e602a70261021d022702bd021f02df02db02570238025c02ae02e2026602d80204020c0289024f021c022e021d010001720cdad9010f029593720f0206da720b0183200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e010001720cdad9010f029593720f0207dad901113c0e639592720db1a50100d809d613b2a5720d00d614c17213d615c1a7d616c27213d617c4a7d618c2a7d6198cc7a701d61ac47213d61b8cc772130196830401927214997215058092f40193cb7216da720601b2dc640bda7202018c7211020283010e8c721101e5720583000204000093b472179a9ada720e017215b17218da720e017e721905b17217b4721a9a9ada720e017214b17216da720e017e721b05b1721a978302019299721b72190480c33d947218721601860272017204010001720c",
"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}",
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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": 6,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c281eacf9d650a0a00000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739142807649,5,5,0,0,0,0]"
},
"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": "0c6402e40724228d7edd0c832a5c405ecaf410c1348bbb85075d78d0f1929a75e14e53030720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "901b3a584414e84010dc26f8448b8864a3d7fbfb11d5bf57df40068f413612fc",
"mainChain": true
},
{
"boxId": "71046bad6ae2e01512d39f5419a62d94254c8c3b59b0c38cba245478c99df898",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 1000000,
"index": 1,
"globalIndex": 46240355,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"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 coll1 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple2 = coll1(0)\n val coll3 = tuple2._1\n val func4 = {(coll4: Coll[Byte]) => byteArrayToLong(coll4.slice(8, 16)) }\n val coll5 = tuple2._2\n val l6 = func4(coll5)\n val func7 = {(box7: Box) => box7.R4[Coll[AvlTree]].get(0) }\n val func8 = {(tuple8: (Coll[Box], Coll[Byte])) =>\n tuple8._1.filter({(box10: Box) => box10.tokens.exists({(tuple12: (Coll[Byte], Long)) => tuple12._1 == tuple8._2 }) })\n }\n val coll9 = placeholder[Coll[Byte]](1)\n val box10 = func8((INPUTS, coll9))(0)\n val avlTree11 = func7(box10)\n val coll12 = getVar[Coll[Byte]](2.toByte).get\n val coll13 = avlTree11.get(coll3, coll12).get\n val l14 = func4(coll13)\n val l15 = l6 - l14\n val func16 = {(box16: Box) => box16.tokens(1) }\n val box17 = func8((OUTPUTS, coll9))(0)\n val func18 = {(box18: Box) => box18.R5[Coll[Long]].get(1) }\n val func19 = {(coll19: Coll[Byte]) => coll19.slice(0, coll19.size - 16 / 8).indices.map({(i21: Int) =>\n val i23 = i21 * 8\n byteArrayToLong(coll19.slice(i23 + 16, i23 + 8 + 16))\n }) }\n val coll20 = Coll[Long](l14).append(func19(coll13))\n val coll21 = Coll[Long](l6).append(func19(coll5))\n val coll22 = coll20.zip(coll21)\n val func23 = {(box23: Box) => box23.R4[Coll[AvlTree]].get(1) }\n val func24 = {(box24: Box) =>\n val coll26 = box24.R5[Coll[Long]].get\n coll26.slice(5, coll26.size)\n }\n val func25 = {(box25: Box) => box25.R5[Coll[Long]].get(0) }\n val func26 = {(box26: Box) => box26.R5[Coll[Long]].get(2) }\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(3) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(4) }\n val func29 = {(box29: Box) => box29.R6[Coll[Coll[Long]]].get }\n val func30 = {(box30: Box) => box30.R7[Coll[(AvlTree, AvlTree)]].get }\n val func31 = {(box31: Box) => box31.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple32: (Coll[Box], Coll[Byte])) =>\n tuple32._1.exists({(box34: Box) => box34.tokens.exists({(tuple36: (Coll[Byte], Long)) => tuple36._1 == tuple32._2 }) })\n }((OUTPUTS, coll3)), (l15 == func16(box17)._2 - func16(box10)._2) && (l15 == func18(box17) - func18(box10)), coll1.size == 1, avlTree11.update(\n coll1, coll12\n ).get.digest == func7(box17).digest, coll22.slice(1, coll22.size).forall({(tuple32: (Long, Long)) =>\n val l34 = tuple32._2\n (tuple32._1 >= l34) && (l34 >= 0L)\n }), coll20(1) - coll21(1) == box10.value - box17.value, {(tuple32: (Coll[Box], Coll[Byte])) =>\n tuple32._1.filter({(box34: Box) => blake2b256(box34.propositionBytes) == tuple32._2 })\n }(\n (\n OUTPUTS, {(opt32: Option[Coll[Byte]]) => opt32.get.slice(1, 33) }(\n {(box32: Box) => box32.R4[AvlTree].get }(func8((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, allOf(\n Coll[Boolean](\n func23(box17) == func23(box10), func24(box17) == func24(box10), func25(box17) == func25(box10), func26(box17) == func26(box10), func27(\n box17\n ) == func27(box10), func28(box17) == func28(box10), func29(box17) == func29(box10), func30(box17) == func30(box10), func31(box17) == func31(box10)\n )\n ), l6 >= l14\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3a1f4b5f9629df2029666955b3b7bc99f8867ddfa2f1bde4fb61070e66d3e6c3",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 1000000,
"index": 2,
"globalIndex": 46240356,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "aa791db0283791e8d6d6b632b4fd9c8b954df407b4b6a6737fac9e73c9f91919",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5a81e35fce249da28c15aa53b6c1888da4b65bd566fcbc8ab29a70086b503113",
"mainChain": true
},
{
"boxId": "aa38530abdc86d9f6e143d9b712cd69a0c66c844b7a15441da88f636564288ac",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 50000000,
"index": 3,
"globalIndex": 46240357,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "85efc36ced1b6921249907ae139014ade50727c18ff94e49bf18070bf548f1a0",
"mainChain": true
},
{
"boxId": "103ad12fff095c84e92655a847b40de12e869fe19276475331ed991ef7578411",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 2350000,
"index": 4,
"globalIndex": 46240358,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"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": "98a122ef79cee056508478871409588281455bf24e915885ac1ac49350c20265",
"mainChain": true
},
{
"boxId": "6976f1d541c15836e4a4f2c882e880b5400b815ad1550550fcbb4b4773183e89",
"transactionId": "ce51f8b4839007a3c87e6ac1dc8c979c5f6260e9910c0a526aa83d91982ef9ea",
"blockId": "29ab6d8c5dc4887f50aa6023923f03a036c69b8f53ddf685738c9ee2d0e2996a",
"value": 94671602429,
"index": 5,
"globalIndex": 46240359,
"creationHeight": 1460036,
"settlementHeight": 1460038,
"ergoTree": "0008cd02944aa632f1b2d1eb87debb1a0ac6d0b591a5b702c90bac2c7c82043e14e2bc98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(944aa6,3d4d7e,...)))}",
"address": "9feNRbYuVz2nQy1V8t2z5saYnWKwmGJ2nYgcMdXBjqYXqHMeWnv",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 92000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "52f4544ce8a420d484ece16f9b984d81c23e46971ef5e37c29382ac50f80d5bd",
"index": 1,
"amount": 4,
"name": "AuctionCoin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 2,
"amount": 29002546,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "40704df6041bb147730acbd4eeeaaff420a634b8386cd7b7a0bea1222665b5bf",
"index": 3,
"amount": 1,
"name": "rosen watcher tcg #2 joseph",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 25576,
"name": "Bober",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 7349,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 1,
"name": "ProxyToken",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 1,
"name": "Sigmanaut Mining Pool Miner ID - Season 0",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
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"name": "🤗",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 9,
"amount": 9625801,
"name": "👽🚀",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 8,
"name": "GreasyCex",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 25,
"name": "Bober Voting Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "80075ae9a6545eb1fc4473d3d7a7feab571fa1e444baf6816021af3a78d8bca3",
"index": 12,
"amount": 17511,
"name": "BULLS",
"decimals": 1,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 17966,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 14,
"amount": 220741620,
"name": "Flame Shards",
"decimals": 5,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 2,
"name": "Ergobotz #2",
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"type": "EIP-004"
},
{
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"name": "LASTBYTE",
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"type": "EIP-004"
},
{
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"index": 17,
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"name": "GORT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 18,
"amount": 2211363590,
"name": "ErgOne",
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"type": "EIP-004"
},
{
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"index": 19,
"amount": 3482143,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 20,
"amount": 112500,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 21,
"amount": 4200,
"name": "rsBTC",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 22,
"amount": 1,
"name": "Sigmanaut Mining DAO Back2Back Commemorative NFT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 23,
"amount": 23809607684500,
"name": "SIGMANAUTSMININGPOOL",
"decimals": 5,
"type": "EIP-004"
},
{
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"index": 24,
"amount": 1,
"name": "Ergobotz #1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "abe0a3c2f646dcd430aac9c29d80feee865bd8b5231edb545a41105d4c8e4985",
"index": 25,
"amount": 12090262,
"name": "BUNS",
"decimals": 4,
"type": "EIP-004"
},
{
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"index": 26,
"amount": 4417427,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 27,
"amount": 8832830746691,
"name": "PHP",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 28,
"amount": 1071429,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "bd0c25c373ad606d78412ae1198133f4573b4e4c2d4ed3fc4c2a4547c6c6e12e",
"index": 29,
"amount": 165254413,
"name": "🤡",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6c35aa395c7c75b0f67f7804d6930f0e11ef93c3387dc1faa86498d54af7962c",
"index": 30,
"amount": 3536,
"name": "MEW",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "4c8ac00a28b198219042af9c03937eecb422b34490d55537366dc9245e85d4e1",
"index": 31,
"amount": 132078458,
"name": "Wooden Nickels",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 32,
"amount": 1073182,
"name": "Troll",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "05504a1f4b7e28d26c9cb06f8a254ba08bca4ffbd5ef6a103dac424d206ad87e",
"index": 33,
"amount": 1,
"name": "Sigmanaut Mining DAO Back2Back Commemorative NFT #2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 34,
"amount": 150,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
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