Transaction
ID: 825e4eb98e...41e0
Inputs (4)
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:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.38 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:
4.33 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 221,051
Total coins transferred: 5.38 ERG
Fees: 0.00235 ERG
Fees per byte: 0.00000033 ERG
Raw Transaction Data
{
"id": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"inclusionHeight": 1538355,
"timestamp": 1748870434108,
"index": 6,
"globalIndex": 9039457,
"numConfirmations": 221051,
"inputs": [
{
"boxId": "fa0e923c56ad282f42c489af9ce043bf0d19a9b5c8f5a166a5a164d368c1ec55",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "46c00c4a6f6d43be80f2ec6321fd434ccba33d235d62abb3bd424129a19430ad",
"outputTransactionId": "689cd9f4e1d76192c0bea40fa018353c4925841469eec080340ac336df18ae6c",
"outputIndex": 0,
"outputGlobalIndex": 47202258,
"outputCreatedAt": 1497289,
"outputSettledAt": 1497294,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-104,-70,111,12,-4,119,88,99,61,82,-22,48,-126,-82,59,-117,56,-76,93,-65,-24,-89,36,125,-23,102,-36,-74,8,-71,0,-114)",
"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": "a7f6d4ccf1288a2b79e3d8741e1e203828135a12b92f8dc4f2d21e40738e0e01",
"index": 0,
"amount": 1,
"name": "Walrus DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 1,
"amount": 84107,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107ca918cdd846594a20a100ef0a6380000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735801275493,84106,8,7,461240,0,0]"
},
"R6": {
"serializedValue": "1d05020000020000020000020000020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402e35554f493561b7dcda03950bb5e1f85549c5ed171d2a202e7c184d2c9d03deb04072000aeb1dd89146b1cc523d13499b378d93e29abc2fdb7dcd458baf9f8d1e712f9ca03072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "c916cf078f5a70fe3f7ab2bb7132a8c8d3e1414a86f09db8388e352343ccaa88",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "57df99ac4548bfbd5eb6f752b0572df7f545f1fc6ce69d69d89842c6673d259e",
"outputTransactionId": "f10bc9c318ac2376214c7bd3834e65be2e9a2891ed67310efef0c47d81fba4b3",
"outputIndex": 1,
"outputGlobalIndex": 46290484,
"outputCreatedAt": 1462533,
"outputSettledAt": 1462535,
"ergoTree": "10020e2098ba6f0cfc7758633d52ea3082ae3b8b38b45dbfe8a7247de966dcb608b9008e0e20a7f6d4ccf1288a2b79e3d8741e1e203828135a12b92f8dc4f2d21e40738e0e01d81fd601e4e3010c3c0e0ed602b27201040000d6038c720201d604d901040e7cb4720404100420d6058c720202d606da7204017205d607d9010763b2e4c67207040c64040000d608d901083c0c630eb58c720801d9010a63aedb6308720ad9010c4d0e938c720c018c720802d6097301d60ab2da7208018602a47209040000d60bda720701720ad60ce4e3020ed60de4dc640a720b027203720cd60eda720401720dd60f997206720ed610d9011063b2db63087210040200d611b2da7208018602a57209040000d612d9011263b2e4c672120511040200d613d901130eaddb0c0eb4721304009d99b1721304200410d9011504d801d6179c721504107cb472139a721704209a9a721704100420d614b3830105720eda721301720dd615b38301057206da7213017205d616dc0c1d7214017215d617d9011763b2e4c67217040c64040200d618d9011863d801d61ae4c672180511b4721a040ab1721ad619d9011963b2e4c672190511040000d61ad9011a63b2e4c6721a0511040400d61bd9011b63b2e4c6721b0511040600d61cd9011c63b2e4c6721c0511040800d61dd9011d63e4c6721d061dd61ed9011e63e4c6721e070c3c6464d61fd9011f63e4c6721f0811d196830901dad901203c0c630eae8c722001d9012263aedb63087222d901244d0e938c7224018c722002018602a57203ed93720f998cda7210017211028cda721001720a0293720f99da7212017211da721201720a93b17201040293db6401e4dc640d720b027201720cdb6401da7207017211afb472160402b17216d9012059d801d6228c722002ed928c722001722292722205009399b27214040200b2721504020099c1720ac1721192c1b2dad901203c0c630eb58c722001d901226393cbc272228c722002018602a5dad9012032b4e472200402044201b2dc640bdad9012063e4c67220046401b2da7208018602db6501fe73000400000283010e832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280e4e3000e040000040000c1a79683090193da7217017211da721701720a93da7218017211da721801720a93da7219017211da721901720a93da721a017211da721a01720a93da721b017211da721b01720a93da721c017211da721c01720a93da721d017211da721d01720a93da721e017211da721e01720a93da721f017211da721f01720a927206720e",
"ergoTreeConstants": "0: Coll(-104,-70,111,12,-4,119,88,99,61,82,-22,48,-126,-82,59,-117,56,-76,93,-65,-24,-89,36,125,-23,102,-36,-74,8,-71,0,-114)\n1: Coll(-89,-10,-44,-52,-15,40,-118,43,121,-29,-40,116,30,30,32,56,40,19,90,18,-71,47,-115,-60,-14,-46,30,64,115,-114,14,1)",
"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": "78a2941f1843821f8da1fb8d85767167a507d793077e98e0a74facbaf4e11daa",
"value": 1000000,
"index": 2,
"spendingProof": "b41c4aea84d8d74ff876a3aac2568a92153dd4cebd21ba75a40afd5da3b956dd053872266dd0499e31e7f30e6c9afb71d0327766c18319dd",
"outputBlockId": "d57386589a03b2d98f03e5d3b9cef7db80e61f20c7e8bf49fa2919fd96dd6472",
"outputTransactionId": "30756c9fcd38916d3d362bc145a15a5725eba4ad93c81ffe5fc25c3d432f9763",
"outputIndex": 2,
"outputGlobalIndex": 46705211,
"outputCreatedAt": 1474827,
"outputSettledAt": 1474830,
"ergoTree": "0008cd027b2b9818232ff3752f6ce491123db1961f623539332d218a1346e1388cd83f22",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b2b98,691e06,...)))}",
"address": "9fTJjZyxbUWAHzPujHNWN1D1f1845pSkSXSW8FRyh7VakCMds6A",
"assets": [
{
"tokenId": "2ec06967dfda74b687fa1c7860fc39c9c39586c9461be697b869a87d48a487ea",
"index": 0,
"amount": 1,
"name": "Walrus DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1557616c7275732044414f204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "57616c7275732044414f204d656d62657273686970"
},
"R5": {
"serializedValue": "0e3857616c7275732044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "57616c7275732044414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "26787cb8e24701a05520cfcd219749cca5be041619e667cdd1947febaa57cb88",
"value": 4381389694,
"index": 3,
"spendingProof": "e8e087ea9530a7c7655a865ce91d6247958535ca30dbfce9196688848210cedd40dfe0187800e36acc7c19ce97bc4b7f15fcadca6a51ac27",
"outputBlockId": "d57386589a03b2d98f03e5d3b9cef7db80e61f20c7e8bf49fa2919fd96dd6472",
"outputTransactionId": "30756c9fcd38916d3d362bc145a15a5725eba4ad93c81ffe5fc25c3d432f9763",
"outputIndex": 5,
"outputGlobalIndex": 46705214,
"outputCreatedAt": 1474827,
"outputSettledAt": 1474830,
"ergoTree": "0008cd027b2b9818232ff3752f6ce491123db1961f623539332d218a1346e1388cd83f22",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b2b98,691e06,...)))}",
"address": "9fTJjZyxbUWAHzPujHNWN1D1f1845pSkSXSW8FRyh7VakCMds6A",
"assets": [
{
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"type": "EIP-004"
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{
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"type": "EIP-004"
},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"name": "Degen Divers #17",
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{
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"name": "Tiger & Magpie #0944",
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{
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{
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{
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{
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{
"tokenId": "c31035b7227db54696eec3903d63ee223dce97c3221226f443b3582be1fbaec5",
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{
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{
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},
{
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"index": 70,
"amount": 473286,
"name": "BURN",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5ba2214a70f0109781353eb6d8729e7d479882a0c3d89f2ebb34a285d88621db",
"value": 1000000000,
"index": 0,
"outputBlockId": "30231635b59a9b6efde43747809e522e5ac8b89f19421bd6d2eb0c9a226d9d96",
"outputTransactionId": "8da1f966022432fd7fc772f5936e1f332d6af56bc0d56f699d90a634c5c5840c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64053e63a3d34e26878b942de99b097232977483b952ff5ce991342d87a00918b206072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "21521c8b010af0f8a95c1c10bf6a6c0096d9bd4a7d64a636d7c86ece7ba09b54",
"transactionId": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"value": 1000000000,
"index": 0,
"globalIndex": 48179171,
"creationHeight": 1538353,
"settlementHeight": 1538355,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-104,-70,111,12,-4,119,88,99,61,82,-22,48,-126,-82,59,-117,56,-76,93,-65,-24,-89,36,125,-23,102,-36,-74,8,-71,0,-114)",
"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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{
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"index": 0,
"amount": 1,
"name": "Walrus DAO Stake State",
"decimals": 0,
"type": "EIP-004"
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"amount": 104107,
"name": "WALRUS",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107ca918cdd8465d4da0c100ef0a6380000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735801275493,104106,8,7,461240,0,0]"
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"R6": {
"serializedValue": "1d05020000020000020000020000020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
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"renderedValue": null
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{
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-104,-70,111,12,-4,119,88,99,61,82,-22,48,-126,-82,59,-117,56,-76,93,-65,-24,-89,36,125,-23,102,-36,-74,8,-71,0,-114)\n1: Coll(-89,-10,-44,-52,-15,40,-118,43,121,-29,-40,116,30,30,32,56,40,19,90,18,-71,47,-115,-60,-14,-46,30,64,115,-114,14,1)",
"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": "bfdf11c40b0e4b0e58a0f9386488a4bf05425e01c811301c11a7c6d0f318aefe",
"mainChain": true
},
{
"boxId": "dfc97dfc353060bc9b399ac2078d3e4ef27465b636e2fee3257b09c0c215a2cc",
"transactionId": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"value": 1000000,
"index": 2,
"globalIndex": 48179173,
"creationHeight": 1538353,
"settlementHeight": 1538355,
"ergoTree": "0008cd027b2b9818232ff3752f6ce491123db1961f623539332d218a1346e1388cd83f22",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b2b98,691e06,...)))}",
"address": "9fTJjZyxbUWAHzPujHNWN1D1f1845pSkSXSW8FRyh7VakCMds6A",
"assets": [
{
"tokenId": "2ec06967dfda74b687fa1c7860fc39c9c39586c9461be697b869a87d48a487ea",
"index": 0,
"amount": 1,
"name": "Walrus DAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "da3b1e58c58e689ec32d0ad8d69e0d94363cebf44eba5837976170e1c5442ead",
"mainChain": true
},
{
"boxId": "ff9f94630fa0b7a8f55ce752af3831a2735191a4f7383557dcfe4073102578c5",
"transactionId": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"value": 50000000,
"index": 3,
"globalIndex": 48179174,
"creationHeight": 1538353,
"settlementHeight": 1538355,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "849a5bc042f62cbe516a61a0bb8beb0f8ef0c734bb0669f13c96b0e82d933360",
"mainChain": true
},
{
"boxId": "c5e479cf3ef86082e7d899fc51da7f78487804417198c5ac871d44aafef74c34",
"transactionId": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"value": 2350000,
"index": 4,
"globalIndex": 48179175,
"creationHeight": 1538353,
"settlementHeight": 1538355,
"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": "3d0ceec10a54b6e9f722d92ddef78b97adf7a3e65e5e18a78d74e771345d4fb8",
"mainChain": true
},
{
"boxId": "cf489bdc33a8db7846582350c746c294dee0484e5a377543c95e39a940a2b599",
"transactionId": "825e4eb98e1a479253758564644e4d9c31a2c7da7970c77d20fb4690408e41e0",
"blockId": "8619a6cebfcc0b4aa57e59094d52b97dff9ed8d99711aa98bf1ebce35ffb5b41",
"value": 4329039694,
"index": 5,
"globalIndex": 48179176,
"creationHeight": 1538353,
"settlementHeight": 1538355,
"ergoTree": "0008cd027b2b9818232ff3752f6ce491123db1961f623539332d218a1346e1388cd83f22",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b2b98,691e06,...)))}",
"address": "9fTJjZyxbUWAHzPujHNWN1D1f1845pSkSXSW8FRyh7VakCMds6A",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "T-Rekt #0074",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "Tiger & Magpie #0245",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
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"name": "Tiger & Magpie #0721",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "T-Rekt #0725",
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"type": "EIP-004"
},
{
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"name": "Degen Divers #276",
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"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
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"decimals": 0,
"type": "EIP-004"
},
{
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"name": "T-Rekt Premint Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 12,
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"name": "Tiger & Magpie #0487",
"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Degen Divers #71",
"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Tiger & Magpie #0703",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 18,
"amount": 1,
"name": "Tiger & Magpie #0579",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "The Gentleman #3",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "T-Rekt #0727",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 22,
"amount": 1,
"name": "The Walrus Dude #5",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 23,
"amount": 1,
"name": "Tiger & Magpie #0042",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 24,
"amount": 1,
"name": "Degen Divers #257",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 25,
"amount": 1,
"name": "Degen Divers #155",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 26,
"amount": 1,
"name": "Degen Divers #254",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 27,
"amount": 1,
"name": "Tiger & Magpie #0016",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 28,
"amount": 1,
"name": "T-Rekt #0617",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 29,
"amount": 1,
"name": "T-Rekt #0255",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 30,
"amount": 1,
"name": "Tiger & Magpie #0654",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 31,
"amount": 1,
"name": "T-Rekt #0024",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 32,
"amount": 1,
"name": "T-Rekt #0583",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 33,
"amount": 1,
"name": "T-Rekt Animated Special",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 34,
"amount": 1,
"name": "T-Rekt #0109",
"decimals": 0,
"type": "EIP-004"
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