Transaction
ID: 4b4771c304...f0c1
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.95 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.95 ERG
Tokens:
2,975,053.57
Spent
Address:
Output transaction:
Settlement height:
Value:
10 ERG
Tokens:
Loading assets...
Outputs (14)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
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:
5.44 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.44 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 451,894
Total coins transferred: 13.89 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000054 ERG
Raw Transaction Data
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"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 14.toByte) {(\n val box11 = OUTPUTS(1)\n val coll12 = box11.tokens\n val coll13 = SELF.tokens\n val tuple14 = coll12(1)\n val tuple15 = coll13(1)\n val coll16 = tuple15._1\n val box17 = OUTPUTS(0)\n val coll18 = func3(func2((CONTEXT.dataInputs, coll1))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](114.toByte, 41.toByte, -3.toByte, -81.toByte, -69.toByte, -106.toByte, 17.toByte, 111.toByte, 60.toByte, -120.toByte, 94.toByte, -67.toByte, 115.toByte, 25.toByte, -93.toByte, 41.toByte, -124.toByte, 66.toByte, -54.toByte, -124.toByte, 0.toByte, 56.toByte, -18.toByte, 12.toByte, 94.toByte, 109.toByte, 50.toByte, -22.toByte, 115.toByte, 94.toByte, 74.toByte, 22.toByte), Coll[Byte](70.toByte, -77.toByte, 100.toByte, 10.toByte, 49.toByte, 115.toByte, -124.toByte, -67.toByte, -86.toByte, 80.toByte, -73.toByte, -92.toByte, 32.toByte, -49.toByte, -113.toByte, 54.toByte, -93.toByte, -72.toByte, 121.toByte, -2.toByte, 78.toByte, -52.toByte, 18.toByte, -74.toByte, -110.toByte, 74.toByte, -50.toByte, 69.toByte, -25.toByte, 53.toByte, 33.toByte, 35.toByte), Coll[Byte](91.toByte, -28.toByte, 71.toByte, -57.toByte, 19.toByte, -110.toByte, -60.toByte, 48.toByte, -80.toByte, 18.toByte, 96.toByte, 72.toByte, 38.toByte, -97.toByte, -102.toByte, 120.toByte, -118.toByte, -13.toByte, 85.toByte, 39.toByte, 117.toByte, 95.toByte, -84.toByte, -23.toByte, -46.toByte, 41.toByte, -3.toByte, -122.toByte, 83.toByte, 14.toByte, 52.toByte, -11.toByte), Coll[Byte](29.toByte, -20.toByte, -78.toByte, 79.toByte, 8.toByte, -7.toByte, -1.toByte, 21.toByte, 34.toByte, -74.toByte, 83.toByte, -91.toByte, 86.toByte, -114.toByte, 114.toByte, -35.toByte, 66.toByte, 77.toByte, -118.toByte, -104.toByte, 86.toByte, 31.toByte, 62.toByte, -49.toByte, 46.toByte, -20.toByte, -95.toByte, -126.toByte, 50.toByte, 37.toByte, -57.toByte, 105.toByte), Coll[Byte](118.toByte, 124.toByte, -86.toByte, -128.toByte, -71.toByte, -114.toByte, 73.toByte, 106.toByte, -40.toByte, -87.toByte, -10.toByte, -119.toByte, -60.toByte, 65.toByte, 10.toByte, -28.toByte, 83.toByte, 50.toByte, 127.toByte, 15.toByte, -107.toByte, -23.toByte, 80.toByte, -124.toByte, -64.toByte, -82.toByte, 32.toByte, 99.toByte, 80.toByte, 121.toByte, 59.toByte, 119.toByte)), opt4.get)\n val tuple19 = box17.tokens(0)\n val box20 = OUTPUTS(2)\n val tuple21 = box20.tokens(0)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll12(0) == coll13(0), tuple14._1 == coll16, tuple14._2 == tuple15._2 - 1L, coll12.size == 2, box11.propositionBytes == SELF.propositionBytes, box11.value >= SELF.value)), allOf(Coll[Boolean](blake2b256(box17.propositionBytes) == func5(coll18(2)), tuple19._1 == coll16, tuple19._2 == 1L)), allOf(Coll[Boolean](blake2b256(box20.propositionBytes) == func5(coll18(4)), box20.value == byteArrayToLong(coll18(0).get.slice(1, 9)) + 1000000L, tuple21._1 == placeholder[Coll[Byte]](1), tuple21._2 == byteArrayToLong(coll18(1).get.slice(1, 9)))), blake2b256(INPUTS(0).propositionBytes) == func5(coll18(3))))\n )} else { false } }(b6), {(b9: Byte) => if (b9 == 7.toByte) { {(tuple11: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box13 = OUTPUTS(i7)\n val l14 = box13.value\n val l15 = SELF.value\n val coll16 = box13.propositionBytes\n val coll17 = SELF.bytesWithoutRef\n val coll18 = SELF.propositionBytes\n val i19 = SELF.creationInfo._1\n val coll20 = box13.bytesWithoutRef\n val i21 = box13.creationInfo._1\n allOf(Coll[Boolean](l14 >= l15 - 2000000L, blake2b256(coll16) == func5(func3(tuple11._2).getMany(Coll[Coll[Byte]](tuple11._1), opt4.getOrElse(Coll[Byte]()))(0)), coll17.slice(func8(l15) + coll18.size + func8(i19.toLong), coll17.size) == coll20.slice(func8(l14) + coll16.size + func8(i21.toLong), coll20.size), anyOf(Coll[Boolean](i21 - i19 >= 504000, coll18 != coll16))))\n )} }((Coll[Byte](8.toByte, 3.toByte, -121.toByte, 15.toByte, -57.toByte, -119.toByte, -94.toByte, -45.toByte, 34.toByte, 7.toByte, -85.toByte, -127.toByte, -4.toByte, -127.toByte, -12.toByte, 90.toByte, 68.toByte, 113.toByte, 31.toByte, 43.toByte, 88.toByte, 14.toByte, -10.toByte, -25.toByte, -46.toByte, 96.toByte, -11.toByte, 22.toByte, 64.toByte, 52.toByte, 77.toByte, 43.toByte), func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b6))))\n}",
"address": "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",
"assets": [
{
"tokenId": "0008bab24c80749ed397037c34534f1b74ef7ed6afb1c9748caa1c248f0cbcfa",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "009129b59aece60338d694b17bfd82c14ab4f1c39b34087f4b901c27aac7bf35",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "09a749637e0b3de0bbda185da161aaece74cfe0bd6e5381bf464591b6e750d73",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000000,
"index": 1,
"globalIndex": 41768075,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n2: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n3: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val func3 = {(box3: Box) => box3.R4[AvlTree].get }\n val coll4 = Coll[Byte](\n 3.toByte, -99.toByte, 42.toByte, 10.toByte, 33.toByte, -115.toByte, 124.toByte, 72.toByte, -56.toByte, -3.toByte, 70.toByte, -88.toByte, -46.toByte, -108.toByte, 49.toByte, -67.toByte, 5.toByte, 108.toByte, -124.toByte, -120.toByte, 42.toByte, 33.toByte, 106.toByte, 86.toByte, 115.toByte, 38.toByte, -61.toByte, -57.toByte, -104.toByte, 78.toByte, -56.toByte, 53.toByte\n )\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val func6 = {(box6: Box) => box6.tokens(0) }\n val func7 = {(box7: Box) => box7.tokens(1) }\n val func8 = {(box8: Box) => box8.tokens(2) }\n val opt9 = getVar[Coll[Byte]](1.toByte)\n val func10 = {(tuple10: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple12 = tuple10._2\n val l13 = tuple12._1\n val tuple14 = tuple12._2\n val l15 = tuple14._1\n val l16 = tuple14._2\n tuple10._1.map({(coll17: Coll[Byte]) => if (coll17.size == 9) {(\n val l19 = byteArrayToLong(coll17.slice(1, 9))\n if (l19 < l13) { l13 } else { if (l19 > l15) { l15 } else { l19 } }\n )} else { l16 } }).getOrElse(l16)\n }\n val b11 = getVar[Byte](0.toByte).get\n val i12 = INPUTS.indexOf(SELF, 0)\n val func13 = {(l13: Long) =>\n if (l13 < 128L) { 1 } else {\n if (l13 < 16384L) { 2 } else {\n if (l13 < 2097152L) { 3 } else {\n if (l13 < 268435456L) { 4 } else {\n if (l13 < 34359738368L) { 5 } else {\n if (l13 < 4398046511104L) { 6 } else { if (l13 < 562949953421312L) { 7 } else { if (l13 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b14: Byte) => if (b14 == 11.toByte) {(\n val box16 = OUTPUTS(0)\n val coll17 = CONTEXT.dataInputs\n val box18 = getVar[Box](3.toByte).get\n val coll19 = box18.propositionBytes\n val coll20 = getVar[Coll[Box]](4.toByte).get\n val coll21 = func3(func2((coll17, coll1))(0)).getMany(Coll[Coll[Byte]](coll4, Coll[Byte](-16.toByte, 54.toByte, 125.toByte, -33.toByte, 52.toByte, 53.toByte, -104.toByte, 31.toByte, 74.toByte, -91.toByte, 87.toByte, 27.toByte, -111.toByte, -35.toByte, 70.toByte, -2.toByte, -127.toByte, 54.toByte, 103.toByte, -14.toByte, -120.toByte, -115.toByte, 79.toByte, -58.toByte, -111.toByte, -106.toByte, -113.toByte, -34.toByte, 21.toByte, -121.toByte, -101.toByte, -105.toByte), Coll[Byte](88.toByte, 30.toByte, -80.toByte, 92.toByte, -24.toByte, 20.toByte, -36.toByte, 63.toByte, 36.toByte, 121.toByte, -28.toByte, -80.toByte, 2.toByte, 125.toByte, -79.toByte, -59.toByte, 73.toByte, 79.toByte, -28.toByte, 32.toByte, 61.toByte, 117.toByte, -124.toByte, 18.toByte, 101.toByte, -10.toByte, -57.toByte, 82.toByte, -105.toByte, -43.toByte, -20.toByte, -63.toByte), blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 112.toByte, 114.toByte, 111.toByte, 112.toByte, 111.toByte, 115.toByte, 97.toByte, 108.toByte, 46.toByte).append(coll19))).append(coll20.map({(box21: Box) => blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(box21.propositionBytes)) })), getVar[Coll[Byte]](2.toByte).get)\n val tuple22 = func7(box16)\n val tuple23 = func7(SELF)\n val coll24 = tuple23._1\n val l25 = tuple23._2\n val tuple26 = func8(box16)\n val tuple27 = func8(SELF)\n val coll28 = tuple27._1\n val i29 = coll20.size\n val box30 = OUTPUTS(1)\n val l31 = box30.value\n val l32 = 9223372036854775807L - l25\n val tuple33 = {(box33: Box) => box33.tokens(0) }(box30)\n val tuple34 = {(box34: Box) => box34.tokens(1) }(box30)\n val coll35 = box30.propositionBytes\n val coll36 = OUTPUTS.slice(2, i29 + 2)\n val box37 = func2((coll17, placeholder[Coll[Byte]](3)))(0)\n val coll38 = getVar[Coll[Byte]](5.toByte).get\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box16.propositionBytes) == func5(coll21(0)), box16.value >= SELF.value, func6(box16) == func6(SELF), tuple22._1 == coll24, tuple22._2 == l25 - 1L, tuple26._1 == coll28, tuple26._2 == tuple27._2 - i29.toLong, box16.tokens.size == 3)), allOf(Coll[Boolean](l31 >= box18.value, l31 >= 5000000L, {(box39: Box) => box39.R4[Coll[Int]].get(0) }(box30).toLong == l32, tuple33._1 == coll24, tuple33._2 == 1L, tuple34._1 == placeholder[Coll[Byte]](2), tuple34._2 == func10((func3(func2((coll17, placeholder[Coll[Byte]](1)))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-11.toByte, -111.toByte, -114.toByte, -76.toByte, -80.toByte, 40.toByte, 60.toByte, 102.toByte, -101.toByte, -35.toByte, -118.toByte, 25.toByte, 86.toByte, 64.toByte, 118.toByte, 108.toByte, 25.toByte, -28.toByte, 10.toByte, 105.toByte, 58.toByte, 102.toByte, -105.toByte, -73.toByte, 117.toByte, -80.toByte, -114.toByte, 9.toByte, 5.toByte, 37.toByte, 35.toByte, -44.toByte)), opt9.get)(0), (0L, (100000000000L, 1000L)))), coll35 == coll19, {(box39: Box) => box39.R5[Coll[Long]].get(0) }(box30) >= CONTEXT.preHeader.timestamp + func10((coll21(1), (43200000L, (2626560000L, 86400000L)))), blake2b256(coll35) == func5(coll21(3)), {(box39: Box) => box39.R5[Coll[Long]].get(1) }(box30) == 0L, {(box39: Box) =>\n val coll41 = box39.R5[Coll[Long]].get\n coll41.slice(2, coll41.size)\n }(box30).forall({(l39: Long) => l39 == 0L }))), coll36.indices.forall({(i39: Int) =>\n val box41 = coll36(i39)\n val l42 = box41.value\n val tuple43 = {(box43: Box) => box43.tokens(0) }(box41)\n allOf(Coll[Boolean](l42 >= coll20(i39).value, l42 >= 2000000L, tuple43._1 == coll28, tuple43._2 == 1L, {(box44: Box) => box44.R4[Coll[Long]].get(0) }(box41) == l32, {(box44: Box) => box44.R4[Coll[Long]].get(1) }(box41) > 0L, blake2b256(box41.propositionBytes) == coll21.slice(4, coll21.size).map({(opt44: Option[Coll[Byte]]) => func5(opt44) })(i39)))\n }), {(coll39: Coll[Byte]) => byteArrayToLong(coll39.slice(8, 16)) }({(box39: Box) => box39.R4[Coll[AvlTree]].get(0) }(box37).get(coll38, getVar[Coll[Byte]](6.toByte).get).get) >= func10((coll21(2), (0L, ({(box39: Box) => box39.R5[Coll[Long]].get(1) }(box37) / 2L, 0L)))), {(tuple39: (Coll[Box], Coll[Byte])) => tuple39._1.exists({(box41: Box) => box41.tokens.exists({(tuple43: (Coll[Byte], Long)) => tuple43._1 == tuple39._2 }) }) }((OUTPUTS, coll38))))\n )} else { false } }(b11), {(b14: Byte) => if (b14 == 7.toByte) { {(tuple16: (Coll[Byte], Box)) => if (i12 >= OUTPUTS.size) { false } else {(\n val box18 = OUTPUTS(i12)\n val l19 = box18.value\n val l20 = SELF.value\n val coll21 = box18.propositionBytes\n val coll22 = SELF.bytesWithoutRef\n val coll23 = SELF.propositionBytes\n val i24 = SELF.creationInfo._1\n val coll25 = box18.bytesWithoutRef\n val i26 = box18.creationInfo._1\n allOf(Coll[Boolean](l19 >= l20 - 2000000L, blake2b256(coll21) == func5(func3(tuple16._2).getMany(Coll[Coll[Byte]](tuple16._1), opt9.getOrElse(Coll[Byte]()))(0)), coll22.slice(func13(l20) + coll23.size + func13(i24.toLong), coll22.size) == coll25.slice(func13(l19) + coll21.size + func13(i26.toLong), coll25.size), anyOf(Coll[Boolean](i26 - i24 >= 504000, coll23 != coll21))))\n )} }((coll4, func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b11))))\n}",
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{
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"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
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"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(6,120,-86,-3,47,68,107,-22,-49,-33,-78,-65,-19,104,24,-68,-102,-99,15,102,64,-45,120,10,98,-60,90,-38,-115,127,42,116)",
"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 func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val coll3 = Coll[Byte](\n -87.toByte, 85.toByte, -114.toByte, 65.toByte, -122.toByte, -53.toByte, -43.toByte, -86.toByte, 87.toByte, 35.toByte, -88.toByte, 82.toByte, -44.toByte, -63.toByte, -36.toByte, 101.toByte, 125.toByte, -98.toByte, -127.toByte, 67.toByte, -126.toByte, -1.toByte, -120.toByte, -115.toByte, 90.toByte, -118.toByte, -20.toByte, 82.toByte, 21.toByte, 49.toByte, 48.toByte, 29.toByte\n )\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(opt5: Option[Coll[Byte]]) => opt5.get.slice(1, 33) }\n val b6 = getVar[Byte](0.toByte).get\n val i7 = INPUTS.indexOf(SELF, 0)\n val func8 = {(l8: Long) =>\n if (l8 < 128L) { 1 } else {\n if (l8 < 16384L) { 2 } else {\n if (l8 < 2097152L) { 3 } else {\n if (l8 < 268435456L) { 4 } else {\n if (l8 < 34359738368L) { 5 } else {\n if (l8 < 4398046511104L) { 6 } else { if (l8 < 562949953421312L) { 7 } else { if (l8 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b9: Byte) => if (b9 == 8.toByte) {(\n val box11 = func1((OUTPUTS, {(box11: Box) => box11.tokens(0)._1 }(SELF)))(0)\n val coll12 = func2(box11).getMany(Coll[Coll[Byte]](coll3, blake2b256(Coll[Byte](105.toByte, 109.toByte, 46.toByte, 112.toByte, 97.toByte, 105.toByte, 100.toByte, 101.toByte, 105.toByte, 97.toByte, 46.toByte, 99.toByte, 111.toByte, 110.toByte, 116.toByte, 114.toByte, 97.toByte, 99.toByte, 116.toByte, 115.toByte, 46.toByte, 97.toByte, 99.toByte, 116.toByte, 105.toByte, 111.toByte, 110.toByte, 46.toByte).append(func1((INPUTS, placeholder[Coll[Byte]](0)))(0).propositionBytes))), opt4.get)\n allOf(Coll[Boolean](SELF.tokens == box11.tokens, SELF.value <= box11.value, blake2b256(box11.propositionBytes) == func5(coll12(0)), coll12(1).isDefined))\n )} else { false } }(b6), (b6 == 7.toByte) && {(tuple9: (Coll[Byte], Box)) => if (i7 >= OUTPUTS.size) { false } else {(\n val box11 = OUTPUTS(i7)\n val l12 = box11.value\n val l13 = SELF.value\n val coll14 = box11.propositionBytes\n val coll15 = SELF.bytesWithoutRef\n val coll16 = SELF.propositionBytes\n val i17 = SELF.creationInfo._1\n val coll18 = box11.bytesWithoutRef\n val i19 = box11.creationInfo._1\n allOf(Coll[Boolean](l12 >= l13 - 2000000L, blake2b256(coll14) == func5(func2(tuple9._2).getMany(Coll[Coll[Byte]](tuple9._1), opt4.getOrElse(Coll[Byte]()))(0)), coll15.slice(func8(l13) + coll16.size + func8(i17.toLong), coll15.size) == coll18.slice(func8(l12) + coll14.size + func8(i19.toLong), coll18.size), anyOf(Coll[Boolean](i19 - i17 >= 504000, coll16 != coll14))))\n )} }((coll3, SELF)))))\n}",
"address": "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",
"assets": [
{
"tokenId": "007a24c677a4dc0fdbeaa1c6db1052fc1839b7675851358aaf96823b2245408b",
"index": 0,
"amount": 1,
"name": "Paideia DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "64114083d7e2fc780631cdb0074c61e3ec1a67a1a7c069476a22ef4f9d9a9ad1c407072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "10333fef36e136751ab73c4c1f07078a2887556cbd02808bfdf9a0501a8ae611",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 3,
"globalIndex": 41768077,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"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": "afe4f2b539e516456476060cd3916f3e6f95d8f2704ed0122e11663406185793",
"mainChain": true
},
{
"boxId": "5c33df365f1a4c23e39ebc6ee4eccc63b304fbb24e66266fcce660f6bf5f257e",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 4,
"globalIndex": 41768078,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"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) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = INPUTS(0).id\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(0)\n val coll16 = tuple15._2\n val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n val func18 = {(box18: Box) => box18.tokens(1) }\n val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n val func21 = {(box21: Box) => box21.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(\n box4\n ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n )\n ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n })\n }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n coll14, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n val i26 = i24 * 8\n byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n }(\n (\n OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n {(box22: Box) => box22.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, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8a0bb67004eb23e65c2f6cd94275d71a2492825846609ed54afdae43853bac45",
"mainChain": true
},
{
"boxId": "85be5db5c6dfd6c34e46a72ddd929c37421fa239a20ac6535a1a30dba48bc33f",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 5,
"globalIndex": 41768079,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\n val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\n val func9 = {(box9: Box) =>\n val coll11 = box9.R5[Coll[Long]].get\n coll11.slice(5, coll11.size)\n }\n val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n val coll13 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll14 = coll13(0)\n val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n val avlTree16 = func15(box5)\n val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\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 coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n (OUTPUTS, coll21)\n )(0)\n val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n )\n ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n val i28 = i26 * 8\n byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n })\n }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n box4\n ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n box4\n ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "738dc73d67996ab9ad9ccc7a3e5bf018eed632826e20d691ed72ba021736dc4a",
"mainChain": true
},
{
"boxId": "b6e57e664cc295e4883a8dc8578e43cd18352fa5a93be33bef5fb04f2d978e52",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 6,
"globalIndex": 41768080,
"creationHeight": 1317359,
"settlementHeight": 1317361,
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"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"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 = {(box2: Box) => box2.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), Coll[Byte](\n -80.toByte, -71.toByte, 7.toByte, -85.toByte, -81.toByte, -83.toByte, -115.toByte, -1.toByte, -50.toByte, 47.toByte, -97.toByte, 29.toByte, -6.toByte, 21.toByte, 53.toByte, -64.toByte, 34.toByte, -35.toByte, -96.toByte, 83.toByte, 102.toByte, -12.toByte, -5.toByte, -46.toByte, 127.toByte, 88.toByte, 29.toByte, 19.toByte, 47.toByte, 75.toByte, 35.toByte, -10.toByte\n ), Coll[Byte](\n -101.toByte, 22.toByte, -79.toByte, -128.toByte, -127.toByte, 39.toByte, 77.toByte, -62.toByte, 47.toByte, 24.toByte, -24.toByte, 89.toByte, 25.toByte, -106.toByte, -94.toByte, 102.toByte, -45.toByte, -71.toByte, 33.toByte, -73.toByte, 113.toByte, -127.toByte, 12.toByte, -54.toByte, 12.toByte, -72.toByte, -25.toByte, 18.toByte, 74.toByte, -40.toByte, 8.toByte, -66.toByte\n ), Coll[Byte](\n 65.toByte, -13.toByte, -104.toByte, -128.toByte, 101.toByte, 82.toByte, -124.toByte, 94.toByte, 82.toByte, 0.toByte, -112.toByte, 50.toByte, 16.toByte, 95.toByte, 89.toByte, -27.toByte, -53.toByte, 44.toByte, -79.toByte, 65.toByte, -34.toByte, 99.toByte, -52.toByte, 115.toByte, 123.toByte, 109.toByte, -103.toByte, 87.toByte, 83.toByte, -61.toByte, 110.toByte, -127.toByte\n ), Coll[Byte](\n 40.toByte, -58.toByte, -124.toByte, 89.toByte, 62.toByte, 17.toByte, 78.toByte, 122.toByte, 82.toByte, 44.toByte, -90.toByte, -26.toByte, -112.toByte, -104.toByte, 119.toByte, -83.toByte, 10.toByte, 121.toByte, -82.toByte, -103.toByte, -37.toByte, 109.toByte, 108.toByte, -44.toByte, 56.toByte, 25.toByte, -93.toByte, 77.toByte, 80.toByte, 91.toByte, 55.toByte, -24.toByte\n ), Coll[Byte](\n 59.toByte, 8.toByte, 57.toByte, -57.toByte, -9.toByte, 126.toByte, -4.toByte, -122.toByte, -37.toByte, -96.toByte, -92.toByte, 95.toByte, -86.toByte, -51.toByte, 100.toByte, -90.toByte, 56.toByte, -74.toByte, -114.toByte, 10.toByte, -62.toByte, 106.toByte, -88.toByte, 10.toByte, 21.toByte, -116.toByte, -114.toByte, -66.toByte, 87.toByte, -82.toByte, 21.toByte, -125.toByte\n ), Coll[Byte](\n -72.toByte, -61.toByte, 44.toByte, 11.toByte, -98.toByte, 66.toByte, -52.toByte, -122.toByte, -48.toByte, 48.toByte, -78.toByte, 97.toByte, -114.toByte, 90.toByte, 6.toByte, -64.toByte, -46.toByte, -21.toByte, 43.toByte, -96.toByte, 100.toByte, 31.toByte, 9.toByte, 6.toByte, -123.toByte, -71.toByte, -123.toByte, -19.toByte, -85.toByte, 16.toByte, -107.toByte, 111.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val func3 = {(box3: Box) => box3.R5[Coll[Long]].get(1) }\n val coll4 = placeholder[Coll[Byte]](1)\n val box5 = func1((OUTPUTS, coll4))(0)\n val box6 = func1((INPUTS, coll4))(0)\n val l7 = func3(box6)\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(2) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(3) }\n val func10 = {(box10: Box) => box10.R5[Coll[Long]].get(4) }\n val func11 = {(box11: Box) => box11.R4[Coll[AvlTree]].get(0) }\n val coll12 = func11(box6).digest\n val func13 = {(box13: Box) => box13.R4[Coll[AvlTree]].get(1) }\n val coll14 = Coll[Byte](\n 78.toByte, -58.toByte, 31.toByte, 72.toByte, 91.toByte, -104.toByte, -21.toByte, -121.toByte, 21.toByte, 63.toByte, 124.toByte, 87.toByte, -37.toByte, 79.toByte, 94.toByte, -51.toByte, 117.toByte, 85.toByte, 111.toByte, -35.toByte, -68.toByte, 64.toByte, 59.toByte, 65.toByte, -84.toByte, -8.toByte, 68.toByte, 31.toByte, -34.toByte, -114.toByte, 22.toByte, 9.toByte, 0.toByte\n )\n val func15 = {(tuple15: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple17 = tuple15._2\n val l18 = tuple17._1\n val tuple19 = tuple17._2\n val l20 = tuple19._1\n val l21 = tuple19._2\n tuple15._1.map({(coll22: Coll[Byte]) => if (coll22.size == 9) {(\n val l24 = byteArrayToLong(coll22.slice(1, 9))\n if (l24 < l18) { l18 } else { if (l24 > l20) { l20 } else { l24 } }\n )} else { l21 } }).getOrElse(l21)\n }\n val l16 = func15((coll2(1), (0L, (999999999999999L, 0L))))\n val func17 = {(box17: Box) => box17.R6[Coll[Coll[Long]]].get(0) }\n val coll18 = func17(box5)\n val i19 = coll18.size\n val i20 = i19 - 1\n val func21 = {(box21: Box) => box21.R6[Coll[Coll[Long]]].get(1) }\n val coll22 = func21(box5)\n val func23 = {(box23: Box) => box23.R6[Coll[Coll[Long]]].get(2) }\n val coll24 = func23(box5)\n val func25 = {(box25: Box) => box25.R6[Coll[Coll[Long]]].get(3) }\n val coll26 = func25(box5)\n val opt27 = coll2(4)\n val b28 = max(0.toByte, min(100.toByte, if (opt27.isDefined) { opt27.get(1) } else { 0.toByte }))\n val func29 = {(box29: Box) => box29.R6[Coll[Coll[Long]]].get(4) }\n val coll30 = func29(box5)\n val opt31 = coll2(5)\n val func32 = {(box32: Box) => box32.R7[Coll[(AvlTree, AvlTree)]].get }\n val coll33 = func32(box5)\n val tuple34 = coll33(i20)\n val coll35 = {(box35: Box) => box35.R8[Coll[Long]].get }(box5)\n val func36 = {(box36: Box) =>\n val coll38 = box36.R5[Coll[Long]].get\n coll38.slice(5, coll38.size)\n }\n val coll37 = func36(box6)\n val coll38 = func32(box6)\n val i39 = func15((coll2(2), (1L, (10L, 1L)))).toInt\n val i40 = i39 - 1\n val coll41 = func36(box5)\n val func42 = {(box42: Box) => box42.R5[Coll[Long]].get(0) }\n val l43 = func42(box6)\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple44: (Coll[Box], Coll[Byte])) => tuple44._1.filter({(box46: Box) => blake2b256(box46.propositionBytes) == tuple44._2 }) }(\n (OUTPUTS, {(opt44: Option[Coll[Byte]]) => opt44.get.slice(1, 33) }(coll2(0)))\n )(0).value >= SELF.value, allOf(\n Coll[Boolean](\n func3(box5) == l7, func8(box5) == func8(box6), func9(box5) == 0L, func10(box5) == 0L, func11(box5).digest == coll12, func13(box5).digest == coll14\n )\n ), box6.tokens.zip(box5.tokens).forall({(tuple44: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple46 = tuple44._1\n val coll47 = tuple46._1\n val tuple48 = tuple44._2\n if (coll47 == {(opt49: Option[Coll[Byte]]) => opt49.get.slice(6, 38) }(coll2(6))) { (tuple48._1 == coll47) && (tuple46._2 + l16 == tuple48._2) } else { tuple48 == tuple46 }\n }), allOf(\n Coll[Boolean](\n coll18(i20) == l7, coll22(i20) == func9(box6), coll24(i20) == func10(box6), coll26(i20) == b28.toLong, coll30(i20) == max(\n 0.toByte, min(100.toByte - b28, if (opt31.isDefined) { opt31.get(1) } else { 0.toByte })\n ).toLong, tuple34._1.digest == coll12, tuple34._2.digest == func13(box6).digest, coll35(0) == l16 + coll37(0)\n )\n ), allOf(\n Coll[Boolean](\n coll38(0)._1.digest == coll14, coll33.slice(0, i40) == coll38.slice(1, i39), coll22.slice(0, i40) == func21(box6).slice(1, i39), coll24.slice(\n 0, i40\n ) == func23(box6).slice(1, i39), coll26.slice(0, i40) == func25(box6).slice(1, i39), coll30.slice(0, i40) == func29(box6).slice(\n 1, i39\n ), coll18.slice(0, i40) == func17(box6).slice(1, i39)\n )\n ), coll35.slice(1, coll37.size).indices.forall({(i44: Int) =>\n val i46 = i44 + 1\n coll35(i46) == coll37(i46)\n }), allOf(\n Coll[Boolean](coll33.size == i39, i19 == i39, coll26.size == i39, coll30.size == i39, coll22.size == i39, coll24.size == i39)\n ), coll41.indices.forall({(i44: Int) => coll41(i44) == coll35(i44) }), func42(box5) == l43 + func15(\n (coll2(3), (3600000L, (999999999999999L, 86400000L)))\n ), l43 <= CONTEXT.preHeader.timestamp\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "65f2d0f3f79240bbf39c59d9e66e9e0087c8eb4b97f37df5284c28317e02cffd",
"mainChain": true
},
{
"boxId": "45374d833259e82de4f70430c65750463a23c5ebade71f3e9b87e841a2823e1b",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 7,
"globalIndex": 41768081,
"creationHeight": 1317359,
"settlementHeight": 1317361,
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"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val coll1 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val coll2 = coll1.map({(tuple2: (Coll[Byte], Coll[Byte])) => tuple2._1 })\n val coll3 = coll2.indices\n val func4 = {(box4: Box) => box4.R4[Coll[AvlTree]].get(0) }\n val func5 = {(tuple5: (Coll[Box], Coll[Byte])) =>\n tuple5._1.filter({(box7: Box) => box7.tokens.exists({(tuple9: (Coll[Byte], Long)) => tuple9._1 == tuple5._2 }) })\n }\n val coll6 = placeholder[Coll[Byte]](1)\n val box7 = func5((INPUTS, coll6))(0)\n val avlTree8 = func4(box7)\n val coll9 = avlTree8.getMany(coll2, getVar[Coll[Byte]](2.toByte).get)\n val func10 = {(coll10: Coll[Byte]) => byteArrayToLong(coll10.slice(8, 16)) }\n val func11 = {(coll11: Coll[Byte]) => coll11.slice(0, coll11.size - 16 / 8).indices.map({(i13: Int) =>\n val i15 = i13 * 8\n byteArrayToLong(coll11.slice(i15 + 16, i15 + 8 + 16))\n }) }\n val func12 = {(box12: Box) =>\n val coll14 = box12.R5[Coll[Long]].get\n coll14.slice(5, coll14.size)\n }\n val coll13 = func12(box7)\n val coll14 = coll9.map({(opt14: Option[Coll[Byte]]) => if (opt14.isDefined) {(\n val coll16 = opt14.get\n Coll[Long](func10(coll16)).append(func11(coll16))\n )} else { coll13.map({(l16: Long) => -1L }) } })\n val func15 = {(box15: Box) => box15.R7[Coll[(AvlTree, AvlTree)]].get }\n val coll16 = func15(box7)\n val tuple17 = coll16(0)\n val avlTree18 = tuple17._1\n val coll19 = avlTree18.getMany(coll2, getVar[Coll[Byte]](3.toByte).get).map({(opt19: Option[Coll[Byte]]) => func10(opt19.get) })\n val func20 = {(box20: Box) => box20.R6[Coll[Coll[Long]]].get(0) }\n val l21 = {(box21: Box) => box21.R6[Coll[Coll[Long]]].get(1) }(box7)(0)\n val b22 = if (l21 > 0L) { {(box22: Box) => box22.R6[Coll[Coll[Long]]].get(3) }(box7)(0).toByte } else { 0.toByte }\n val l23 = {(box23: Box) => box23.R6[Coll[Coll[Long]]].get(2) }(box7)(0)\n val b24 = if (l23 > 0L) { {(box24: Box) => box24.R6[Coll[Coll[Long]]].get(4) }(box7)(0).toByte } else { 0.toByte }\n val b25 = b22 + b24\n val b26 = if (b25.toInt > 0) { max(100.toByte - b25, 0.toByte) } else { 100.toByte }\n val bi27 = 0.toBigInt\n val bi28 = 0.toBigInt\n val b29 = b25 + b26\n val avlTree30 = tuple17._2\n val coll31 = avlTree30.getMany(coll2, getVar[Coll[Byte]](5.toByte).get).map({(opt31: Option[Coll[Byte]]) => if (opt31.isDefined) {(\n val coll33 = opt31.get\n (byteArrayToLong(coll33.slice(0, 8)), byteArrayToLong(coll33.slice(8, 16)))\n )} else { (0L, 0L) } })\n val func32 = {(box32: Box) => box32.R8[Coll[Long]].get }\n val coll33 = func32(box7)\n val coll34 = coll1.map({(tuple34: (Coll[Byte], Coll[Byte])) =>\n val coll36 = tuple34._2\n Coll[Long](func10(coll36)).append(func11(coll36))\n })\n val func35 = {(coll35: Coll[Byte]) => byteArrayToLong(coll35.slice(0, 8)) }\n val coll36 = coll9.map({(opt36: Option[Coll[Byte]]) => if (opt36.isDefined) { func35(opt36.get) } else { -1L } })\n val coll37 = coll1.map({(tuple37: (Coll[Byte], Coll[Byte])) => func35(tuple37._2) })\n val tuple38 = (func32(box7).map({(l38: Long) => 0.toBigInt }), true)\n val func39 = {(box39: Box) => box39.R5[Coll[Long]].get(1) }\n val coll40 = coll33.indices.map({(i40: Int) => coll3.map({(i42: Int) =>\n val coll44 = coll14(i42)\n if (coll44(0) >= 0L) {(\n val coll45 = func32(box7).map({(l45: Long) =>\n val bi47 = l45.toBigInt\n coll19(i42).toBigInt * bi47 / func20(box7)(0).toBigInt * b26.toBigInt + if (b22.toInt > 0) { coll31(i42)._1.toBigInt * bi47 / l21.toBigInt * b22.toBigInt } else { bi27 } + if (b24.toInt > 0) { coll31(i42)._2.toBigInt * bi47 / l23.toBigInt * b24.toBigInt } else { bi28 } / b29.toBigInt\n })\n (coll45, (coll44.zip(coll45).map({(tuple46: (Long, BigInt)) => tuple46._1.toBigInt + tuple46._2 }) == coll34(i42).map({(l46: Long) => l46.toBigInt })) && (coll36(i42) == coll37(i42)))\n )} else { tuple38 }\n }).fold(0.toBigInt, {(tuple42: (BigInt, (Coll[BigInt], Boolean))) => tuple42._1 + tuple42._2._1(i40) }) })\n val box41 = func5((OUTPUTS, coll6))(0)\n val coll42 = func15(box41)\n val tuple43 = coll42(0)\n val coll44 = tuple43._1.digest\n val coll45 = {(opt45: Option[Coll[Byte]]) => opt45.get.slice(1, 33) }(\n {(box45: Box) => box45.R4[AvlTree].get }(func5((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n val box46 = {(tuple46: (Coll[Box], Coll[Byte])) => tuple46._1.filter({(box48: Box) => blake2b256(box48.propositionBytes) == tuple46._2 }) }(\n (OUTPUTS, coll45)\n )(0)\n val func47 = {(box47: Box) => box47.R4[Coll[AvlTree]].get(1) }\n val func48 = {(box48: Box) => box48.R5[Coll[Long]].get(0) }\n val func49 = {(box49: Box) => box49.R5[Coll[Long]].get(2) }\n val func50 = {(box50: Box) => box50.R5[Coll[Long]].get(3) }\n val func51 = {(box51: Box) => box51.R5[Coll[Long]].get(4) }\n val func52 = {(box52: Box) => box52.R6[Coll[Coll[Long]]].get }\n sigmaProp(allOf(Coll[Boolean](allOf(coll3.map({(i53: Int) =>\n val coll55 = coll14(i53)\n if (coll55(0) >= 0L) {(\n val coll56 = coll33.map({(l56: Long) =>\n val bi58 = l56.toBigInt\n coll19(i53).toBigInt * bi58 / func20(box7)(0).toBigInt * b26.toBigInt + if (b22.toInt > 0) { coll31(i53)._1.toBigInt * bi58 / l21.toBigInt * b22.toBigInt } else { bi27 } + if (b24.toInt > 0) { coll31(i53)._2.toBigInt * bi58 / l23.toBigInt * b24.toBigInt } else { bi28 } / b29.toBigInt\n })\n (coll56, (coll55.zip(coll56).map({(tuple57: (Long, BigInt)) => tuple57._1.toBigInt + tuple57._2 }) == coll34(i53).map({(l57: Long) => l57.toBigInt })) && (coll36(i53) == coll37(i53)))\n )} else { tuple38 }._2\n })), func39(box7).toBigInt + coll40(0) == func39(box41).toBigInt, avlTree18.remove(coll2, getVar[Coll[Byte]](4.toByte).get).get.digest == coll44, avlTree8.update(coll1.filter({(tuple53: (Coll[Byte], Coll[Byte])) => func10(tuple53._2) > 0L }), getVar[Coll[Byte]](6.toByte).get).get.digest == func4(box41).digest, allOf(Coll[Boolean](blake2b256(box46.propositionBytes) == coll45, box46.value >= SELF.value)), allOf(Coll[Boolean](box41.value == box7.value, box41.tokens == box7.tokens, func47(box41).digest == func47(box7).digest, tuple43._2 == avlTree30, coll42.slice(1, coll42.size) == coll16.slice(1, coll16.size), func48(box41) == func48(box7), func49(box41) == func49(box7), func50(box41) == func50(box7), func51(box41) == func51(box7), func52(box41) == func52(box7), func32(box41) == coll33)), (coll1.size >= 10) || (coll44 == Coll[Byte](78.toByte, -58.toByte, 31.toByte, 72.toByte, 91.toByte, -104.toByte, -21.toByte, -121.toByte, 21.toByte, 63.toByte, 124.toByte, 87.toByte, -37.toByte, 79.toByte, 94.toByte, -51.toByte, 117.toByte, 85.toByte, 111.toByte, -35.toByte, -68.toByte, 64.toByte, 59.toByte, 65.toByte, -84.toByte, -8.toByte, 68.toByte, 31.toByte, -34.toByte, -114.toByte, 22.toByte, 9.toByte, 0.toByte)), coll13.indices.forall({(i53: Int) => func12(box41)(i53).toBigInt == coll13(i53).toBigInt - coll40(i53) }))))\n}",
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"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a10f22c7ff62f292c3593af2e53fab4ad23b054c02a7dd6b3b15102a01b9f193",
"mainChain": true
},
{
"boxId": "62e8930bd82a0dd366dbc5dd0cd736561412e59b902a629c1fdb89402cdab8be",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 8,
"globalIndex": 41768082,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "10020e20007a24c677a4dc0fdbeaa1c6db1052fc1839b7675851358aaf96823b2245408b0e201f9a8538f3de09e2684f7d9a70410eed870f4ca82c0dc31b8e979bab9d6f9e94d822d601dc640bdad9010163e4c67201046401b2db6501fe0400000283020e83200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e832002023d02aa02660280028e026902c2025a02e9023202dd02660261021c025f020b023c02ba02ca02d102120252020302e8027d028d02c402910286021c027102e6e4e3000ed602e4e3090ed603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d6047301d605b2da7203018602a57204040000d606b2da7203018602a47204040000d607d9010763b2e4c67207040c64040000d608da7207017206d609b2da7203018602a4dad9010932b4e47209040c044c01b27201040200040000d60ae4dc640a7208027202e4e3020ed60bb37aa2dad9010b63b2e4c6720b0511040000017209dad9010b0e7cb4720b0400041001720ab4720a0410b1720ad60cd9010c63b2e4c6720c040c64040200d60dda720c017206d60edc640a720d027202e4e3040ed60fe6720ed610dc640adad9011063e4c672100664017209027202e4e3010ed611e67210d61295720f7cb4e4720e040004100500d61395721172129a72120502d61495720f7cb4e4720e041004200500d615e4e3080ed616b0adb4db0c0e721504009db172150410d90116047cb472159c721604109c9a7216040204100500d90116599a8c7216018c721602d617957211d801d617e47210a29a997214b0adb4db0c0e721704009db172170410d90118047cb472179c721804109c9a7218040204100500d90118599a8c7218018c721802721605009a72147216d618b37a72137a7217d619e4e3050ed61ad9011a63b2e4c6721a0511040000d61bd9011b63b2e4c6721b0511040200d61cd9011c63b2e4c6721c0511040400d61dd9011d63b2e4c6721d0511040600d61ed9011e63b2e4c6721e0511040800d61fd9011f63d801d621e4c6721f0511b47221040ab17221d620d9012063e4c67220061dd621d9012163e4c67221070c3c6464d622d9012263e4c672220811d19683050192c1b2dad901233c0c630eb58c722301d901256393cbc272258c722302018602a5dad9012332b4e472230402044201b27201040000040000c1a7dad901233c0c630eae8c722301d9012563aedb63087225d901274d0e938c7227018c722302018602a5720296830d0193c17205c1720693db63087205db6308720693db6401da7207017205db6401e4dc640d72080283013c0e0e86027202720be4e3030e93db6401da720c017205db640195720fe4dc640d720d0283013c0e0e8602720272187219e4dc640c720d0283013c0e0e860272027218721993da721a017205da721a01720693da721b017205da721b01720693da721c017205da721c01720693da721d017205999ada721d0172067213721293da721e017205999ada721e0172067217721493da721f017205da721f01720693da7220017205da722001720693da7221017205da722101720693da7222017205da722201720693e4e3060e720b93e4e3070e7218",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val coll1 = {(box1: Box) => box1.R4[AvlTree].get }(CONTEXT.dataInputs(0)).getMany(\n Coll[Coll[Byte]](\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 ), Coll[Byte](\n 61.toByte, -86.toByte, 102.toByte, -128.toByte, -114.toByte, 105.toByte, -62.toByte, 90.toByte, -23.toByte, 50.toByte, -35.toByte, 102.toByte, 97.toByte, 28.toByte, 95.toByte, 11.toByte, 60.toByte, -70.toByte, -54.toByte, -47.toByte, 18.toByte, 82.toByte, 3.toByte, -24.toByte, 125.toByte, -115.toByte, -60.toByte, -111.toByte, -122.toByte, 28.toByte, 113.toByte, -26.toByte\n )\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val coll2 = getVar[Coll[Byte]](9.toByte).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 coll4 = placeholder[Coll[Byte]](1)\n val box5 = func3((OUTPUTS, coll4))(0)\n val box6 = func3((INPUTS, coll4))(0)\n val func7 = {(box7: Box) => box7.R4[Coll[AvlTree]].get(0) }\n val avlTree8 = func7(box6)\n val box9 = func3((INPUTS, {(opt9: Option[Coll[Byte]]) => opt9.get.slice(6, 38) }(coll1(1))))(0)\n val coll10 = avlTree8.get(coll2, getVar[Coll[Byte]](2.toByte).get).get\n val coll11 = longToByteArray(\n max({(box11: Box) => box11.R5[Coll[Long]].get(0) }(box9), {(coll11: Coll[Byte]) => byteArrayToLong(coll11.slice(0, 8)) }(coll10))\n ).append(coll10.slice(8, coll10.size))\n val func12 = {(box12: Box) => box12.R4[Coll[AvlTree]].get(1) }\n val avlTree13 = func12(box6)\n val opt14 = avlTree13.get(coll2, getVar[Coll[Byte]](4.toByte).get)\n val bool15 = opt14.isDefined\n val opt16 = {(box16: Box) => box16.R6[AvlTree].get }(box9).get(coll2, getVar[Coll[Byte]](1.toByte).get)\n val bool17 = opt16.isDefined\n val l18 = if (bool15) { byteArrayToLong(opt14.get.slice(0, 8)) } else { 0L }\n val l19 = if (bool17) { l18 } else { l18 + 1L }\n val l20 = if (bool15) { byteArrayToLong(opt14.get.slice(8, 16)) } else { 0L }\n val coll21 = getVar[Coll[Byte]](8.toByte).get\n val l22 = coll21.indices.slice(0, coll21.size / 8).map({(i22: Int) => byteArrayToLong(coll21.slice(i22 * 8, i22 + 1 * 8)) }).fold(\n 0L, {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n )\n val l23 = if (bool17) {(\n val coll23 = opt16.get\n max(\n l20 - coll23.indices.slice(0, coll23.size / 8).map({(i24: Int) => byteArrayToLong(coll23.slice(i24 * 8, i24 + 1 * 8)) }).fold(\n 0L, {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }\n ) + l22, 0L\n )\n )} else { l20 + l22 }\n val coll24 = longToByteArray(l19).append(longToByteArray(l23))\n val coll25 = getVar[Coll[Byte]](5.toByte).get\n val func26 = {(box26: Box) => box26.R5[Coll[Long]].get(0) }\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(1) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(2) }\n val func29 = {(box29: Box) => box29.R5[Coll[Long]].get(3) }\n val func30 = {(box30: Box) => box30.R5[Coll[Long]].get(4) }\n val func31 = {(box31: Box) =>\n val coll33 = box31.R5[Coll[Long]].get\n coll33.slice(5, coll33.size)\n }\n val func32 = {(box32: Box) => box32.R6[Coll[Coll[Long]]].get }\n val func33 = {(box33: Box) => box33.R7[Coll[(AvlTree, AvlTree)]].get }\n val func34 = {(box34: Box) => box34.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple35: (Coll[Box], Coll[Byte])) => tuple35._1.filter({(box37: Box) => blake2b256(box37.propositionBytes) == tuple35._2 }) }(\n (OUTPUTS, {(opt35: Option[Coll[Byte]]) => opt35.get.slice(1, 33) }(coll1(0)))\n )(0).value >= SELF.value, {(tuple35: (Coll[Box], Coll[Byte])) =>\n tuple35._1.exists({(box37: Box) => box37.tokens.exists({(tuple39: (Coll[Byte], Long)) => tuple39._1 == tuple35._2 }) })\n }((OUTPUTS, coll2)), allOf(\n Coll[Boolean](\n box5.value == box6.value, box5.tokens == box6.tokens, func7(box5).digest == avlTree8.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll2, coll11)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, func12(box5).digest == if (bool15) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll2, coll24)), coll25).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll2, coll24)), coll25).get\n }.digest, func26(box5) == func26(box6), func27(box5) == func27(box6), func28(box5) == func28(box6), func29(box5) == func29(\n box6\n ) + l19 - l18, func30(box5) == func30(box6) + l23 - l20, func31(box5) == func31(box6), func32(box5) == func32(box6), func33(box5) == func33(\n box6\n ), func34(box5) == func34(box6)\n )\n ), getVar[Coll[Byte]](6.toByte).get == coll11, getVar[Coll[Byte]](7.toByte).get == coll24\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "d392991311399ac53e9715fcd057d066aa6baa17796dea26bffc3b1ef473edbe",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 9,
"globalIndex": 41768083,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)\n1: Coll(31,-102,-123,56,-13,-34,9,-30,104,79,125,-102,112,65,14,-19,-121,15,76,-88,44,13,-61,27,-114,-105,-101,-85,-99,111,-98,-108)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = func2((OUTPUTS, coll3))(0)\n val box5 = func2((INPUTS, coll3))(0)\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(1) }\n val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(2) }\n val func10 = {(box10: Box) => box10.R5[Coll[Long]].get(3) }\n val func11 = {(box11: Box) => box11.R5[Coll[Long]].get(4) }\n val func12 = {(box12: Box) => box12.R6[Coll[Coll[Long]]].get }\n val func13 = {(box13: Box) => box13.R7[Coll[(AvlTree, AvlTree)]].get }\n val func14 = {(box14: Box) => box14.R8[Coll[Long]].get }\n val l15 = box4.value - box5.value\n val func16 = {(box16: Box) =>\n val coll18 = box16.R5[Coll[Long]].get\n coll18.slice(5, coll18.size)\n }\n val func17 = {(box17: Box) => box17.tokens(1) }\n val l18 = func17(box4)._2 - func17(box5)._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n box4\n ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5), func13(box4) == func13(box5), func14(box4) == func14(box5)\n )\n ), (l15 >= 0L) && (func16(box4)(1) - func16(box5)(1) == l15), (l18 >= 0L) && (\n func16(box4)(0) - func16(box5)(0) == l18\n ), box4.tokens.size >= box5.tokens.size, {(tuple19: (Coll[Box], Coll[Byte])) =>\n tuple19._1.filter({(box21: Box) => blake2b256(box21.propositionBytes) == tuple19._2 })\n }(\n (\n OUTPUTS, {(opt19: Option[Coll[Byte]]) => opt19.get.slice(1, 33) }(\n {(box19: Box) => box19.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\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 ), getVar[Coll[Byte]](0.toByte).get\n )(0)\n )\n )\n )(0).value >= SELF.value\n )\n )\n )\n}",
"address": "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",
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"additionalRegisters": {},
"spentTransactionId": "92ca198655022102f90b194ad32c1dbc2de061338955a489472136be503e53bb",
"mainChain": true
},
{
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"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000000,
"index": 10,
"globalIndex": 41768084,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,122,36,-58,119,-92,-36,15,-37,-22,-95,-58,-37,16,82,-4,24,57,-73,103,88,81,53,-118,-81,-106,-126,59,34,69,64,-117)",
"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": "1f9a8538f3de09e2684f7d9a70410eed870f4ca82c0dc31b8e979bab9d6f9e94",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780c098ea9e64000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1722124800000,0,0,0,0,0,0]"
},
"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": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "65f2d0f3f79240bbf39c59d9e66e9e0087c8eb4b97f37df5284c28317e02cffd",
"mainChain": true
},
{
"boxId": "fd4fd170c30c84a5e2eb478721880ba85e1f31663893154dee05bc7cf210243c",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 1000000,
"index": 11,
"globalIndex": 41768085,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"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": "b9873fab9a9a027abd8113a6886ecd98a7d4a149c4f7edefe4f8e2377fbfaf57",
"mainChain": true
},
{
"boxId": "da1a695834c58a562564d68e5a1f78a8db2a69ef91413bc82e257d48adb9665a",
"transactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"blockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"value": 5442166955,
"index": 12,
"globalIndex": 41768086,
"creationHeight": 1317359,
"settlementHeight": 1317361,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
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{
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"amount": 9,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
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{
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"name": "Ethereal Vanguard",
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"type": "EIP-004"
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"name": "Hathor",
"decimals": 0,
"type": "EIP-004"
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"index": 4,
"amount": 10,
"name": "Shadeblade",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Mary Making",
"decimals": 0,
"type": "EIP-004"
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{
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"name": "Young Bull",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Punishment",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 1,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
},
{
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