Transaction
ID: 283a8e5400...f912
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
37.02 ERG
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...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 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:
36.97 ERG
Transaction Details
Confirmations: 340,104
Total coins transferred: 38.12 ERG
Fees: 0.00235 ERG
Fees per byte: 0.0000005 ERG
Raw Transaction Data
{
"id": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"inclusionHeight": 1421427,
"timestamp": 1734717011174,
"index": 3,
"globalIndex": 8297579,
"numConfirmations": 340104,
"inputs": [
{
"boxId": "c7d31d9894831f58260bddf7d29c4ed1ec8db05816630a7e40134159d135d6f1",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3c75747ad6e33b17c7c0d4b652328f36757bb420f7e80deed07df5e9fa07caee",
"outputTransactionId": "8a2f58babbf9d1f6fef155213b367f8c02fe3cc9d8a1e82aadd7c824a0c428a8",
"outputIndex": 0,
"outputGlobalIndex": 44977682,
"outputCreatedAt": 1421404,
"outputSettledAt": 1421407,
"ergoTree": "10010e20308c15dff8a4afbbd29a98fbcb2e1c8eff652ac446884311e04c88f24c43ca71d80ed60183200202de02ae02cf025b026402ba02d602f50257020b02ad020a0261020c024e02480249025702cf0247028202300284020002bc02900240024c021d0214021002dad602d9010263e4c672020464d603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d604b2da7203018602db6501fe7300040000d605e3010ed606d9010632b4e4720604020442d607d9010763b2db63087207040000d608da720701a7d609b2da7203018602a58c720801040000d60ad9010a63b2db6308720a040200d60bd9010b0ed801d60ddc640bda72020172040283020e7201720be472059683020193b1dad9010e3c0c630eb58c720e01d901106393cbc272108c720e02018602a4da720601b2720d0402000402dad9010e0e9683030193cbc27209720e93da72070172097208938cda720a017209018cda720a01a70101da720601b2720d040000d60ce4e30002d60ddc0c1aa402a70400d60ed9010e05958f720e0580020402958f720e058080020404958f720e05808080020406958f720e0580808080020408958f720e05808080808002040a958f720e0580808080808002040c958f720e058080808080808002040e958f720e0580808080808080800204100412d197830801dad9010f029593720f0200da720b0183200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242010001720cdad9010f029593720f0202da720b01832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bd010001720cdad9010f029593720f0201da720b01832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280010001720cdad9010f029593720f0203da720b01832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c5010001720cdad9010f029593720f0204da720b018320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2010001720cdad9010f029593720f0205da720b01832002023a02110295025c0247021902e5028802bc02e602a70261021d022702bd021f02df02db02570238025c02ae02e2026602d80204020c0289024f021c022e021d010001720cdad9010f029593720f0206da720b0183200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e010001720cdad9010f029593720f0207dad901113c0e639592720db1a50100d809d613b2a5720d00d614c17213d615c1a7d616c27213d617c4a7d618c2a7d6198cc7a701d61ac47213d61b8cc772130196830401927214997215058092f40193cb7216da720601b2dc640bda7202018c7211020283010e8c721101e5720583000204000093b472179a9ada720e017215b17218da720e017e721905b17217b4721a9a9ada720e017214b17216da720e017e721b05b1721a978302019299721b72190480c33d947218721601860272017204010001720c",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
"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": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 11,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0afbfb48065141634340000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735221832680,10,11,26,26,0,0]"
},
"R6": {
"serializedValue": "1d05010a010e010e01320132",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[5],[7],[7],[25],[25]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720003e74fa039b6470d5694c995310ee256067db51a4849eaf791f24e0b0d64574b803072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402d71336361f6f09dfb408d15f1d1ed46d23fb6d313044b3afc7bbaf0a3d246a9c04072000cf868eb32003fc33ceedc400c2841165df59e8595b370c57e190ce4c994b788504072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "e7f052fed8f28dd7f1831c60d927d558cbb004c27e64932099d135b6cc26e1a2",
"value": 100000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9bd03e309d46afbc4af3606e57575c46e6404b2f0b7f801d1fbb0b70039777db",
"outputTransactionId": "f2ba7d0c761770854263fd1a4ab6ef56b057a45cdbffed3223b2493af36304a5",
"outputIndex": 0,
"outputGlobalIndex": 44909739,
"outputCreatedAt": 1419829,
"outputSettledAt": 1419831,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "f54a780bb6849bd680d8d886b354531b495371f1fa299d268f3d3f6137fca5b7",
"value": 37022712666,
"index": 2,
"spendingProof": "282517bfb31886fa91341de64a5b5a50677fb397f5ed159cf6682b8f85e201110c706a2aa6791ef1eb59d9213289d496f355791800ec6faa",
"outputBlockId": "3208adb2155076029c0c0391a94e5dd6ea6d7565743f7cf6bd1f07d5233c9bb2",
"outputTransactionId": "f226d541e8ba193531b598f9cd7b79edff7af495f7386f7c50090cddfb326fad",
"outputIndex": 1,
"outputGlobalIndex": 41492756,
"outputCreatedAt": 1310033,
"outputSettledAt": 1310036,
"ergoTree": "0008cd02bae5b3228621a2a68f90d2a3abf244b6ef683d5bcbd3bfe904159c9745a02013",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bae5b3,a497f1,...)))}",
"address": "9fwNZ8dFZ78XvTSf9Nos9cox7zH2Xn9zZ713RfuXdJsq7hU4ekE",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "146993f4c2ebf03b02d97b2adb2623a7964f3ec5b3d6ebe335a1d98119853d35",
"value": 1000000,
"index": 3,
"spendingProof": "2b51bb162796a8c48d42aae9f0d910186ecc4ef01af907335f85904fe53c4a5a412038c5b7a0b73031f4e21a231d3cd3ec69d8e83093b25f",
"outputBlockId": "28bdc4c568991e89e3ada5863168e0930e3064b0149899f01a9e45e9b6d05ad5",
"outputTransactionId": "2c7ddcd5b713581d3093ce1cc2d353a1c7d05a55bb5fa1be64f50af6aececa7c",
"outputIndex": 2,
"outputGlobalIndex": 44979280,
"outputCreatedAt": 1421423,
"outputSettledAt": 1421425,
"ergoTree": "0008cd02bae5b3228621a2a68f90d2a3abf244b6ef683d5bcbd3bfe904159c9745a02013",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bae5b3,a497f1,...)))}",
"address": "9fwNZ8dFZ78XvTSf9Nos9cox7zH2Xn9zZ713RfuXdJsq7hU4ekE",
"assets": [
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 0,
"amount": 1,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "1955219d5a5121f5270795b79cd6356d82cadd4f84821c19be0bb52ede76241f",
"value": 1000000000,
"index": 0,
"outputBlockId": "5c5fbdc2552048d54383a9ec1666373e77f3bf35f3efb452e998802caacef629",
"outputTransactionId": "c8a010a0f4de99555581cc92254a138e49be574e4878544e76a6e2f56a5866bd",
"outputIndex": 0,
"ergoTree": "10010e20f86dd8f0a39ba59032865b2843401d4601d01a6e778c4afcad879328cfb3139cd808d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d602d9010263e4c672020464d60383200202a90255028e0241028602cb02d502aa0257022302a8025202d402c102dc0265027d029e02810243028202ff0288028d025a028a02ec0252021502310230021dd604e3010ed605d9010532b4e4720504020442d606e4e30002d607dc0c1aa402a70400d608d9010805958f72080580020402958f7208058080020404958f720805808080020406958f72080580808080020408958f720805808080808002040a958f72080580808080808002040c958f7208058080808080808002040e958f72080580808080808080800204100412d197830201dad9010902959372090208d802d60bb2da7201018602a5dad9010b638cb2db6308720b0400000101a7040000d60cdc640bda720201720b0283020e7203cbb3831c020269026d022e0270026102690264026502690261022e0263026f026e027402720261026302740273022e0261026302740269026f026e022ec2b2da7201018602a47300040000e472049683040193db6308a7db6308720b90c1a7c1720b93cbc2720bda720501b2720c040000e6b2720c0402000100017206ed9372060207dad901093c0e6395927207b1a50100d809d60bb2a5720700d60cc1720bd60dc1a7d60ec2720bd60fc4a7d610c2a7d6118cc7a701d612c4720bd6138cc7720b019683040192720c99720d058092f40193cb720eda720501b2dc640bda7202018c7209020283010e8c720901e5720483000204000093b4720f9a9ada720801720db17210da7208017e721105b1720fb472129a9ada720801720cb1720eda7208017e721305b17212978302019299721372110480c33d947210720e0186027203a7",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6411e735ff01d47665b2b67e7d33f45a7eea99e5262ebb83791e1208f58aaaa00d06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "43a4de3d812b6a4aa85711f4b15971117add1a264e057b0bc499dde00afaa840",
"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"value": 1000000000,
"index": 0,
"globalIndex": 44979421,
"creationHeight": 1421425,
"settlementHeight": 1421427,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
"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": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0afbfb48065161834340000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735221832680,11,12,26,26,0,0]"
},
"R6": {
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"sigmaType": "Coll[Coll[SLong]]",
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},
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"renderedValue": null
},
"R4": {
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}
},
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"mainChain": true
},
{
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"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8f17f4eec72ce14259996ade916a8cde141c376090de28a6f04427e08fd152f0",
"mainChain": true
},
{
"boxId": "e06626d3fadfcc85450e75adb198ae13502906c038eeba6bb90338fcf4bc6a8a",
"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"value": 1000000,
"index": 2,
"globalIndex": 44979423,
"creationHeight": 1421425,
"settlementHeight": 1421427,
"ergoTree": "0008cd02bae5b3228621a2a68f90d2a3abf244b6ef683d5bcbd3bfe904159c9745a02013",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bae5b3,a497f1,...)))}",
"address": "9fwNZ8dFZ78XvTSf9Nos9cox7zH2Xn9zZ713RfuXdJsq7hU4ekE",
"assets": [
{
"tokenId": "c7d31d9894831f58260bddf7d29c4ed1ec8db05816630a7e40134159d135d6f1",
"index": 0,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e155369676d616e61757473204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d656d62657273686970"
},
"R5": {
"serializedValue": "0e385369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "26a39c47ad1d9460291c093b4cb4ca022be9b06a1f8c6bbc01e2567399f6cd49",
"mainChain": true
},
{
"boxId": "37a9f792a75523d1ff7f548cdab830a8bca62c0f3c5b68f6ac8caf3249ba5232",
"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"value": 50000000,
"index": 3,
"globalIndex": 44979424,
"creationHeight": 1421425,
"settlementHeight": 1421427,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "76a50d499ecf8610c549b21791a271b2afc5f4f564120d6566ebc43487f2cf51",
"mainChain": true
},
{
"boxId": "94651042c418db3306271262ca8810338d4c601960cfcd7f68e6956a1bf04907",
"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"value": 2350000,
"index": 4,
"globalIndex": 44979425,
"creationHeight": 1421425,
"settlementHeight": 1421427,
"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": "872b19ace591087205ab768628bc99f862a48add32bad2daf73b75d118196b72",
"mainChain": true
},
{
"boxId": "2bce550e4104783d72d0285c4e864c762df6578376f303075df2757d8f268a37",
"transactionId": "283a8e5400a482b33a529af1e5f574b6f43b99886c61ac6ff63318ddbbdcf912",
"blockId": "e26505e5ff594439d69321e6faaa45094291faac4918049178d7fccdf1bf4873",
"value": 36970362666,
"index": 5,
"globalIndex": 44979426,
"creationHeight": 1421425,
"settlementHeight": 1421427,
"ergoTree": "0008cd02bae5b3228621a2a68f90d2a3abf244b6ef683d5bcbd3bfe904159c9745a02013",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bae5b3,a497f1,...)))}",
"address": "9fwNZ8dFZ78XvTSf9Nos9cox7zH2Xn9zZ713RfuXdJsq7hU4ekE",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "26a39c47ad1d9460291c093b4cb4ca022be9b06a1f8c6bbc01e2567399f6cd49",
"mainChain": true
}
],
"size": 4699,
"isUnconfirmed": false
}