Transaction
ID: 6c7f01aa85...382b
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
502.8 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
3,263,661.02
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (13)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
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
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:
499.8 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 15.64 KB
Received time: 10/24/2024 07:13:40 AM
Included in blocks: 1,380,377
Confirmations: 386,020
Total coins transferred: 502.81 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000062 ERG
Raw Transaction Data
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"dataInputs": [],
"outputs": [
{
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)",
"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": "18b3490e56396577d51c24a1927e635a46887b05826f4e00b130f8193fbdc82a",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4a8db1d0c87a7cf30e8085d0467e48e02cbacb15f08f962ddbb64b3fa7e51e96",
"mainChain": true
},
{
"boxId": "c586dee6fae350ce400946cc32325e67a55925f2226ebd5e608b3af2e66892fd",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000000,
"index": 1,
"globalIndex": 43408763,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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 func9 = {(tuple9: (Option[Coll[Byte]], (Long, (Long, Long)))) =>\n val tuple11 = tuple9._2\n val l12 = tuple11._1\n val tuple13 = tuple11._2\n val l14 = tuple13._1\n val l15 = tuple13._2\n tuple9._1.map({(coll16: Coll[Byte]) => if (coll16.size == 9) {(\n val l18 = byteArrayToLong(coll16.slice(1, 9))\n if (l18 < l12) { l12 } else { if (l18 > l14) { l14 } else { l18 } }\n )} else { l15 } }).getOrElse(l15)\n }\n val b10 = getVar[Byte](0.toByte).get\n val i11 = INPUTS.indexOf(SELF, 0)\n val func12 = {(l12: Long) =>\n if (l12 < 128L) { 1 } else {\n if (l12 < 16384L) { 2 } else {\n if (l12 < 2097152L) { 3 } else {\n if (l12 < 268435456L) { 4 } else {\n if (l12 < 34359738368L) { 5 } else {\n if (l12 < 4398046511104L) { 6 } else { if (l12 < 562949953421312L) { 7 } else { if (l12 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b13: Byte) => if (b13 == 11.toByte) {(\n val box15 = OUTPUTS(0)\n val coll16 = CONTEXT.dataInputs\n val box17 = getVar[Box](2.toByte).get\n val coll18 = box17.propositionBytes\n val coll19 = getVar[Coll[Box]](3.toByte).get\n val coll20 = getVar[Coll[Coll[Byte]]](1.toByte).get\n val coll21 = func3(func2((coll16, 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(coll18))).append(coll19.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)) })), coll20(1))\n val tuple22 = func7(box15)\n val tuple23 = func7(SELF)\n val coll24 = tuple23._1\n val l25 = tuple23._2\n val tuple26 = func8(box15)\n val tuple27 = func8(SELF)\n val coll28 = tuple27._1\n val i29 = coll19.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((coll16, placeholder[Coll[Byte]](3)))(0)\n val coll38 = coll20(2)\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box15.propositionBytes) == func5(coll21(0)), box15.value >= SELF.value, func6(box15) == func6(SELF), tuple22._1 == coll24, tuple22._2 == l25 - 1L, tuple26._1 == coll28, tuple26._2 == tuple27._2 - i29.toLong, box15.tokens.size == 3)), allOf(Coll[Boolean](l31 >= box17.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 == func9((func3(func2((coll16, 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)), coll20(0))(0), (0L, (100000000000L, 1000L)))), coll35 == coll18, {(box39: Box) => box39.R5[Coll[Long]].get(0) }(box30) >= CONTEXT.preHeader.timestamp + func9((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 >= coll19(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, coll20(3)).get) >= func9((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 } }(b10), {(b13: Byte) => if (b13 == 7.toByte) { {(tuple15: (Coll[Byte], Box)) => if (i11 >= OUTPUTS.size) { false } else {(\n val box17 = OUTPUTS(i11)\n val l18 = box17.value\n val l19 = SELF.value\n val coll20 = box17.propositionBytes\n val coll21 = SELF.bytesWithoutRef\n val coll22 = SELF.propositionBytes\n val i23 = SELF.creationInfo._1\n val coll24 = box17.bytesWithoutRef\n val i25 = box17.creationInfo._1\n allOf(Coll[Boolean](l18 >= l19 - 2000000L, blake2b256(coll20) == func5(func3(tuple15._2).getMany(Coll[Coll[Byte]](tuple15._1), getVar[Coll[Byte]](1.toByte).getOrElse(Coll[Byte]()))(0)), coll21.slice(func12(l19) + coll22.size + func12(i23.toLong), coll21.size) == coll24.slice(func12(l18) + coll20.size + func12(i25.toLong), coll24.size), anyOf(Coll[Boolean](i25 - i23 >= 504000, coll22 != coll20))))\n )} }((coll4, func2((CONTEXT.dataInputs, coll1))(0))) } else { false } }(b10))))\n}",
"address": "4Q3iJwZALFPSQcnMzgkxgXCJooMpFVYXBP6s85tUvrjQVPz9AmW987wAHSDdnuChWhVRvBsANHgkruHro4AyLeWLdwwGFxj79wn1dtvcvPf1r17uHvmxycPU4FHU8hrrGBLbYJQ2z3BBn47UegcsNXqyzMERj2nyuHSh673FQqs1WqXctJSwoP6Noe5MX6zpnpw69CA6QHjVeHaoFqTkii7oij4wTRmzA9hSCVTSj7gwSeiwThVBC8visg3Ae8RfHhBMW1ZdjDYGWG8nYGgHWbfir63E8ievu6hCUPScS43pS1rfXVDVz5thS1eNmFzG9c2fLn5bQJCpjiGdkUAsv4UB4AnsSvADE57HE4FQopHUf7WpTtPjDwid7crYLJGTwBcveWjJ77hndU7tRJjzJQx6PpdGeq8FsHwJH9Asrn1G17bPd8MmWXWPx9h6HxLSGTmFV6KhbW1ZtGhmRb3A9x7wkSapHCMsV6q4BrSth6rc8JLi9hkcMHKPGktYSw9vDRBuouHmGyvUGpi7DqpGAR2DNWjbTn5xPUeJ9mbCjtuqCSz8bw6ukP3DFu29CBXaxWicY8U7EWeJMURuAJnUpQ7ta6pY2C3SpHXdVJtxoScFjkouXdermPbmFfs6JJniCrA6kNkpi3iygDzhdcTfTxAJcYmWzR6ZGjBBknF1wx2w9oi28bzHdturHBmhDQeqQc1iLbLJZvG7uquje4vf52jT3QBJJAUQtVmiepM2sNETGDMvF51Fky8jXJnyzwsrQt147LF8iGXUsPTZqgyC45pKShXBHUNtuDg7GE3o7zdUXH8K1psSMjaajn9L2ovdSS6WQ6NS5a1Nv9TvE2byLcMX2ngXn4w2MwUYaK9ec46BQhBNdKWEUsKNEp2PgD6pcAyX1FhDEFXQ5HuqZ8FkaadhNiuT3Pf2w8Lkb4x3sxdJurcJVo4EGYmGsFpf29jaMspLKTcuJRQ6FzSaJujAmyL3LPijxekjM8s7QcnFqg9K3RETmbD2p6bzk2CdbqbdWwosW1hQZaS2hLJoKRViSL9g4eFqwS3YhFtdKT4DzFzMC75St4g8D8N8e8fVJTdXw9cBEwMTK9ZwSnQ368XGrtyVKGA1fqtkPp4dTPJaf7TXoVgv1usscehgz6ogWH44MYGgqQwoxRP6sw9CFowLRPaSa2zCE3Mgnj6M2LS8JHfuhNhin7YLGbqiEH8fsC2hiNxsx1KrPYwu3sNsUuL11uEtMa1Qbst2U2egDimqGMq4o9qZncjAhSMumuMVrYssAFbyFLyRgxLFpVseHqDQWmoQiP1pNUcgW7xuPBcYZejbWrTRwdeeGgxjACurSaCmz1mxpbDP3noc6LJD6WJpmr5YnfKacszvsYfyVSWcL9Jg7WsRnWgkpRHA1N3Qbsfz846wMKDHu7Lv1ys1JMdCVtAWLYykUcs3qVGfMaB1UXbGx5mCmigV5qAwNQz8KoSXfFcXbomGiLhVejZQSaumuUzkRbmVpw7RxReerwACk4jAJm3Ss2qDmvH3itpGnwKBZmq36gZpcQS4sBrePGwEryWnuqDy4zKDUUZrkZLKTziC829aV2fhNPH2JPQjdb2y1NEbvmnwEMEwBTppcTWv2rHfYNphLyAPKk8W2JrwAx7XyYCxnTxhMBP4GajSA4NsTiU5NqtE728iieYBsH3JYFVQXZ3ozgdQ7fiCt1emzArHv6LXE8n4GmdYndF9v1GkXqgtUyU5LjTn9Vee39nUzL9FnvQ7hFqmCr2QAURMNY7ud4AVsrhwiu9hMYXo9xSz5qB7tP2bYrSsfTirNhP57VTmDYg6Mp8H9HHdVYx2yiKJnonWeWfC5b3D8U5vrhQfABHyYfEvbYySNP4JU3PTj7pCzqBhU7qeiuxxVAYxoQgGQTW9hNhesAJuPA2mxAmYJL1f5cJd8uKLdZvJm8o1vXaFT5rcqi5JLLawBZLfJJEzrWS2owxeD17hgaigJbf4YyMH38PNHMJKetFcx6SRqBMvvXsdojkh6krd97HrCm7krayJdgBfduGtAMqqss27ee9DnjoT5kahLjd9uSVCDWb3pWKBPeYJAhhVKFKCBS38FJi9JsP9kosgZJ1LACpXsn4kr54yY3i3XESAr8HnXcQtEDNhE2uc1fHCK268yFgpka6qEeYsaM6BbNVZk4uVD9f3VRQfyv4WC4cZxPDqc2UFR5NGJ3pu9KMdeZMceZ9eNanp7ntzgSix8vi1wfe4Rgdgee85ZH3pxJ4ufws7eA19iNsE925gGoJQb9TQYYruR5m29Abm7sdm7xMr3VnKRU1rnu6BobDD5BDetdjh94qxpuZXhwm9rG2LrWYiJbWxSfJut617q9bi2QkiTNhkv2X7bPp5EmgMVcXrA1Fzfa7F2CN7fbjr944d5GyhrAw6ihmj5WTQN2TS2cXqVANZN37WXSQtdQSJwSnRCmACrxZcaqMVG1Dgx2eGn6URM8HkJSHvrhzn5M5EmgCpjbyDTsSBCu4ABLprYmLGWiWxw7V3KriaL7VXc33r1qNxGkZQLvzLTTR8pGx51Tu1ohJg4hHoDVtMpc2KAM2vcbUvtge5uRTKuxCczGKqRaWg33w1iS8LXHpCwkTBgzRyVCjG5FkXEBMdc4hnA3jV9GJwQ3QVEZvrreMoFBQZPMqpQtZ8EJvEJnXmwPkwSkk8Tu1zHb9Kcg2mrUhApPEJkmj8wbqM7YXk9p9t",
"assets": [
{
"tokenId": "171c56d1aa54a6709bdadcc0f053e7a786411224a8f40111a6878549a3fae842",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0b2061b664725d7570fdfc40de19b554e60952ced7649f4ad4a9ee2c8640f7c3",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "000653ab0e7fb89bfa221d75bd25aed8b98e0bac66a13aa229caf5855128d33a",
"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b2fcb9f7bbb9242fd255ba4931c032b475e2dcc791547d88c2d93dac8e638a3b",
"mainChain": true
},
{
"boxId": "b297fbbe89628e4b6328755bf44c7c5f6d8d81f20eb64fe77abaebd49e807774",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000000,
"index": 2,
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"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(0,6,83,-85,14,127,-72,-101,-6,34,29,117,-67,37,-82,-40,-71,-114,11,-84,102,-95,58,-94,41,-54,-11,-123,81,40,-45,58)",
"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": "1b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f07",
"index": 0,
"amount": 1,
"name": "Paideia DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "641375a5d0ed0e759d91187d3743d18db0c8298099cefabeb65d23a199de933bea07072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "339e9587dafc530ab9eb03909c453325061cd6ddcd2f99ba3ad8344a92fddb1e",
"mainChain": true
},
{
"boxId": "29b450810b72615f6799b04d90f06046a44ee6b8c5e960e6acfd1603e4d5c1df",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 3,
"globalIndex": 43408765,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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": "600cb76fe6ba70b516335fa8db11379a5b298141020aa551da843e188fa49cb5",
"mainChain": true
},
{
"boxId": "3d105a62263a54f8956bb867af7ed327b83041f335660195ed0685c4c843b272",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 4,
"globalIndex": 43408766,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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": "b81f70e39070b3e460b4c2f1ce592f882e886827ca5542cb4fdc008e99c0a65b",
"mainChain": true
},
{
"boxId": "458a2c56ab209b3e71b7e5c7c1f3cdca897a9b26ef1a8e1d7b4540897c8febb0",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 5,
"globalIndex": 43408767,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "10020e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e20233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573d817d601d9010163b2e4c67201040c64040200d602d901023c0c630eb58c720201d9010463aedb63087204d901064d0e938c7206018c720202d6037301d604b2da7202018602a57203040000d605b2da7202018602a47203040000d606d9010663b2e4c672060511040000d607d9010763b2e4c672070511040600d608d9010863b2e4c672080511040800d609d9010963d801d60be4c672090511b4720b040ab1720bd60ad9010a63e4c6720a061dd60bd9010b63e4c6720b070c3c6464d60cd9010c63e4c6720c0811d60de4e3011ad60eb2720d040000d60fd9010f63b2e4c6720f040c64040000d610da720f017205d611e4dc640a721002720ee4e3020ed612dad901120e7cb4721204100420017211d613d9011363b2db63087213040200d614d9011463b2e4c672140511040200d615dad9011532b4e472150402044201b2dc640bdad9011563e4c67215046401b2da7202018602db6501fe73000400000283010e832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bde4e3000e040000d616b2dad901163c0c630eb58c721601d901186393cbc272188c721602018602a57215040000d617d9011763b2e4c672170511040400d1968309019683080193da7201017204da720101720593da7206017204da720601720593da7207017204da720701720593da7208017204da720801720593da7209017204da720901720593da720a017204da720a01720593da720b017204da720b01720593da720c017204da720c017205dad901183c0c630eae8c721801d9011a63aedb6308721ad9011c4d0e938c721c018c721802018602a4720e96830201937212998cda7213017205028cda72130172040293721299da7214017205da721401720493b2dad901180eaddb0c0eb4721804009d99b1721804200410d9011a04d801d61c9c721a04107cb472189a721c04209a9a721c0410042001721104000099c17205c1720493b1720d040293db6401e4dc640e721002720de4e3030edb6401da720f0172049683020193cbc27216721592c17216c1a79399da72170172050502da721701720491db6903db6503fedad901180e7cb4721804000410017211",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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": "NXqQY2jwRQ2m4d1dCGrk4j2rtGBGPU2X3BmicpHv8XBVhwUNn8t7tD7TSe2mmYHB5bFpDgPtkwT3VpVjEnZ5NDaKXxThahYkmnEfX5jBrUbrBxVMPzhgAtgey3iT5End1qTcidvtMoFhofdnLk1s4SXV9qSayN4BfNLBhYDUfLRqJvM2Ad8Qb5WkipjBKNQfdAyMor4UhdQE8gZx4G8a88iPvYn7Uo8rGaLsuw8peTgosVGEECgDHndu9Wjwth1Ae3kw4P4fr4b8sosVC5WvrZo6oLet1UAmhbTC38Stp9nALnPk6DWGnAQz5gW3wpTphfp9QMLvocBxZ8Mxa2nXLZx3r2nQ58zSfgCe7Yha9VUfDKMmrefzbG6vWcwyXfAQhoATo9aWdohJw583FrXAe6f3F74JEr7DUAubcAmT5jAdmztgNs5vTb6EbDrLgzFBYtdASF7MQZHiRizSQ5TJnFA73GovJrSrEfMuryiFh3tJznM48u9uK1Lydz4BaCQxU1mprRYVPL3PsV9dRxZu96ocJzDLx9zWQNCVw9XxSJqTnvLJ58VRhGvWEqSLzyJt6SVoadVQuG6pQBJMPsH7MbjuHzYgo1dz4w4VjRN3Z4t3YY7h3btryU1umK26tgPVnQhGsU9nCNDGEuVD9VZgVeyWobqZePD8f1VxUaK55W2cLfUYz3gzj9tPFgwThXyiQUFwQQadAow4X82xybAW2g8yp4v75AGmEGjUDMsggsvQ5ofd8SP6mKbh26xwfnxiDDrb5ek5pAF3MvkW8fSMFKrZRGGwWBowVwHUv9D8CsohyDmYVqa4m1zqeYuzxFXvdds25MXHkXir2V4mnxmuNCrCt1uoaHmxwNdBNqYoiBZR2icCVGnw9Vciwimvj3zdLHM38L8U5e1yFVPosa5uifZrBmLwtBVUXXin1VyRDifY997jKYDvaarbCbDkY43n7X3Uxf564shg9b1sfU4cRBCETa8YTRLEunmXUFqsyyYnrXAoE7H5XRFTGDobgtGKkwZqYZGojReotmVaYagz8h8JaaVg2UAkwQxzUsZcYh5xX12SLjsAGxj8MjHT9asNoqNNBePJUZpqTWUSKQRsxhRr81a5mmtRMGEzLxHzAEDS7KMkhMBNZGQgeteggbDvSWRgazxUUwcHeRDV3iZPoBs61A5GppDrQJx49ApeWmjrhvJeT6kiWWfLPsS8UkyutKc39x7Tp5TvxzH6dL4kQCcwLyCtu2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2fed64370c84d3975c8f5cf64fc383f93d0a7b1929d58e5986a5a9ce135a28af",
"mainChain": true
},
{
"boxId": "0ecd87b5a404953fac8548d470781a9298277a807cc475a5904163ec3618f710",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 6,
"globalIndex": 43408768,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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 i38 = func15((coll2(2), (1L, (10L, 1L)))).toInt\n val coll39 = func32(box6)\n val i40 = min(coll39.size, i38)\n val i41 = i40 - 1\n val coll42 = func25(box6)\n val coll43 = func29(box6)\n val coll44 = func17(box6)\n val coll45 = func36(box5)\n val func46 = {(box46: Box) => box46.R5[Coll[Long]].get(0) }\n val l47 = func46(box6)\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple48: (Coll[Box], Coll[Byte])) => tuple48._1.filter({(box50: Box) => blake2b256(box50.propositionBytes) == tuple48._2 }) }(\n (OUTPUTS, {(opt48: Option[Coll[Byte]]) => opt48.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({(tuple48: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple50 = tuple48._1\n val coll51 = tuple50._1\n val tuple52 = tuple48._2\n if (coll51 == {(opt53: Option[Coll[Byte]]) => opt53.get.slice(6, 38) }(coll2(6))) { (tuple52._1 == coll51) && (tuple50._2 + l16 == tuple52._2) } else { tuple52 == tuple50 }\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 ), if (i38 > i40) { coll33.slice(0, i38 - i40 - 1).indices.forall({(i48: Int) =>\n val i50 = i40 + i48\n allOf(Coll[Boolean](coll33(i50) == coll39(i41), coll22(i50) == 0L, coll24(i50) == 0L, coll26(i50) == coll42(i41), coll30(i50) == coll43(i41), coll18(i50) == coll44(i41)))\n }) } else { true }, allOf(\n Coll[Boolean](\n coll39(0)._1.digest == coll14, coll33.slice(0, i41) == coll39.slice(1, i40), coll22.slice(0, i41) == func21(box6).slice(1, i40), coll24.slice(\n 0, i41\n ) == func23(box6).slice(1, i40), coll26.slice(0, i41) == coll42.slice(1, i40), coll30.slice(0, i41) == coll43.slice(1, i40), coll18.slice(\n 0, i41\n ) == coll44.slice(1, i40)\n )\n ), coll35.slice(1, coll37.size).indices.forall({(i48: Int) =>\n val i50 = i48 + 1\n coll35(i50) == coll37(i50)\n }), allOf(\n Coll[Boolean](coll33.size == i38, i19 == i38, coll26.size == i38, coll30.size == i38, coll22.size == i38, coll24.size == i38)\n ), coll45.indices.forall({(i48: Int) => coll45(i48) == coll35(i48) }), func46(box5) == l47 + func15(\n (coll2(3), (3600000L, (999999999999999L, 86400000L)))\n ), l47 <= CONTEXT.preHeader.timestamp\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "55d673e94edb5c2889c12f4053aadd5b580aa3f300fda9b1ce8df9a4bd495cff",
"mainChain": true
},
{
"boxId": "87a909443af93fff1c6f9005c99da6f51932ff2b76331e29816e1db3350ea018",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 7,
"globalIndex": 43408769,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "10020e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e20233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573d834d601e4e3010c3c0e0ed602ad7201d901023c0e0e8c720201d603db0c0e7202d604d9010463b2e4c67204040c64040000d605d901053c0c630eb58c720501d9010763aedb63087207d901094d0e938c7209018c720502d6067301d607b2da7205018602a47206040000d608da7204017207d609dc640b7208027202e4e3020ed60ad9010a0e7cb4720a04100420d60bd9010b0eaddb0c0eb4720b04009d99b1720b04200410d9010d04d801d60f9c720d04107cb4720b9a720f04209a9a720f04100420d60cd9010c63d801d60ee4c6720c0511b4720e040ab1720ed60dda720c017207d60ead7209d9010e3295e6720ed801d610e4720eb3830105da720a017210da720b017210ad720dd90110050501d60fd9010f63e4c6720f070c3c6464d610da720f017207d611b27210040000d6128c721101d613addc640b7212027202e4e3030ed9011332da720a01e47213d614d9011463b2e4c67214061d040000d615b2dad9011563b2e4c67215061d040200017207040000d6169591721505007db2dad9011663b2e4c67216061d040600017207040000020200d617b2dad9011763b2e4c67217061d040400017207040000d6189591721705007db2dad9011863b2e4c67218061d040800017207040000020200d6199a72167218d61a95917e7219040400a2990264721902000264d61b060100d61c060100d61d9a7219721ad61e8c721102d61faddc640b721e027202e4e3050ed9011f3295e6721fd801d621e4721f86027cb47221040004107cb4722104100420860205000500d620d9012063e4c672200811d621da7220017207d622ad7201d901223c0e0ed801d6248c722202b3830105da720a017224da720b017224d623d901230e7cb4722304000410d624ad7209d901243295e67224da722301e472240501d625ad7201d901253c0e0eda7223018c722502d6268602adda7220017207d90126050601000101d627d9012763b2e4c672270511040200d628addb0c0e7221d9012804b0ad7203d9012a04d801d62cb2720e722a009592b2722c0400000500d801d62dadda7220017207d9012d05d801d62f7e722d069d9a9a9c9d9c7eb27213722a0006722f7eb2da7214017207040000067e721a0695917e72160404009c9d9c7e8cb2721f722a000106722f7e7215067e721606721b95917e72180404009c9d9c7e8cb2721f722a000206722f7e7217067e721806721c7e721d068602722ded93addc0c1d722c01722dd9012e41069a7e8c722e01068c722e02adb27222722a00d9012e057e722e0693b27224722a00b27225722a007226060100d9012a4249129a8c722a01b28c8c722a0201722800d629b2da7205018602a57206040000d62ada720f017229d62bb2722a040000d62cdb64018c722b01d62ddad9012d32b4e4722d0402044201b2dc640bdad9012d63e4c6722d046401b2da7205018602db6501fe73000400000283010e8320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2e4e3000e040000d62eb2dad9012e3c0c630eb58c722e01d901306393cbc272308c722e02018602a5722d040000d62fd9012f63b2e4c6722f040c64040200d630d9013063b2e4c672300511040000d631d9013163b2e4c672310511040400d632d9013263b2e4c672320511040600d633d9013363b2e4c672330511040800d634d9013463e4c67234061dd19683080196ad7203d9013504d801d637b2720e7235008c9592b272370400000500d801d638ad7221d9013805d801d63a7e7238069d9a9a9c9d9c7eb2721372350006723a7eb2da7214017207040000067e721a0695917e72160404009c9d9c7e8cb2721f7235000106723a7e7215067e721606721b95917e72180404009c9d9c7e8cb2721f7235000206723a7e7217067e721806721c7e721d0686027238ed93addc0c1d7237017238d9013941069a7e8c723901068c723902adb27222723500d90139057e72390693b27224723500b27225723500722602939a7eda722701720706b272280400007eda72270172290693db6401e4dc640e7212027202e4e3040e722c93db6401e4dc640d720802b57201d901353c0e0e91da720a018c7235020500e4e3060edb6401da72040172299683020193cbc2722e722d92c1722ec1a796830b0193c17229c1720793db63087229db6308720793db6401da722f017229db6401da722f017207938c722b02721e93b4722a0402b1722ab472100402b1721093da7230017229da723001720793da7231017229da723101720793da7232017229da723201720793da7233017229da723301720793da7234017229da723401720793da72200172297221ec92b17201041493722c832102024e02c6021f0248025b029802eb02870215023f027c025702db024f025e02cd02750255026f02dd02bc0240023b024102ac02f80244021f02de028e021602090200afdb0c0e720dd9013504937eb2da720c01722972350006997eb2720d72350006b27228723500",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cdcd03c775cf73f33d5c396b792708bc93d03e421066ea11ff23df4213b67c45",
"mainChain": true
},
{
"boxId": "10a5973bd6508d5f89ea76d279001db8e8dadf32dd588e27a6840de34f27578f",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 8,
"globalIndex": 43408770,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"ergoTreeScript": "{\n val coll1 = getVar[Coll[Coll[Byte]]](0.toByte).get\n val coll2 = {(box2: Box) => box2.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 ), coll1(0)\n )\n val coll3 = coll1(9)\n val func4 = {(tuple4: (Coll[Box], Coll[Byte])) =>\n tuple4._1.filter({(box6: Box) => box6.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == tuple4._2 }) })\n }\n val coll5 = placeholder[Coll[Byte]](1)\n val box6 = func4((OUTPUTS, coll5))(0)\n val box7 = func4((INPUTS, coll5))(0)\n val func8 = {(box8: Box) => box8.R4[Coll[AvlTree]].get(0) }\n val avlTree9 = func8(box7)\n val box10 = func4((INPUTS, {(opt10: Option[Coll[Byte]]) => opt10.get.slice(6, 38) }(coll2(1))))(0)\n val coll11 = avlTree9.get(coll3, coll1(2)).get\n val coll12 = longToByteArray(\n max({(box12: Box) => box12.R5[Coll[Long]].get(0) }(box10), {(coll12: Coll[Byte]) => byteArrayToLong(coll12.slice(0, 8)) }(coll11))\n ).append(coll11.slice(8, coll11.size))\n val func13 = {(box13: Box) => box13.R4[Coll[AvlTree]].get(1) }\n val avlTree14 = func13(box7)\n val opt15 = avlTree14.get(coll3, coll1(4))\n val bool16 = opt15.isDefined\n val opt17 = {(box17: Box) => box17.R6[AvlTree].get }(box10).get(coll3, coll1(1))\n val bool18 = opt17.isDefined\n val l19 = if (bool16) { byteArrayToLong(opt15.get.slice(0, 8)) } else { 0L }\n val l20 = if (bool18) { l19 } else { l19 + 1L }\n val l21 = if (bool16) { byteArrayToLong(opt15.get.slice(8, 16)) } else { 0L }\n val coll22 = coll1(8)\n val l23 = coll22.indices.slice(0, coll22.size / 8).map({(i23: Int) => byteArrayToLong(coll22.slice(i23 * 8, i23 + 1 * 8)) }).fold(\n 0L, {(tuple23: (Long, Long)) => tuple23._1 + tuple23._2 }\n )\n val l24 = if (bool18) {(\n val coll24 = opt17.get\n max(\n l21 - coll24.indices.slice(0, coll24.size / 8).map({(i25: Int) => byteArrayToLong(coll24.slice(i25 * 8, i25 + 1 * 8)) }).fold(\n 0L, {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }\n ) + l23, 0L\n )\n )} else { l21 + l23 }\n val coll25 = longToByteArray(l20).append(longToByteArray(l24))\n val coll26 = coll1(5)\n val func27 = {(box27: Box) => box27.R5[Coll[Long]].get(0) }\n val func28 = {(box28: Box) => box28.R5[Coll[Long]].get(1) }\n val func29 = {(box29: Box) => box29.R5[Coll[Long]].get(2) }\n val func30 = {(box30: Box) => box30.R5[Coll[Long]].get(3) }\n val func31 = {(box31: Box) => box31.R5[Coll[Long]].get(4) }\n val func32 = {(box32: Box) =>\n val coll34 = box32.R5[Coll[Long]].get\n coll34.slice(5, coll34.size)\n }\n val func33 = {(box33: Box) => box33.R6[Coll[Coll[Long]]].get }\n val func34 = {(box34: Box) => box34.R7[Coll[(AvlTree, AvlTree)]].get }\n val func35 = {(box35: Box) => box35.R8[Coll[Long]].get }\n sigmaProp(\n allOf(\n Coll[Boolean](\n {(tuple36: (Coll[Box], Coll[Byte])) => tuple36._1.filter({(box38: Box) => blake2b256(box38.propositionBytes) == tuple36._2 }) }(\n (OUTPUTS, {(opt36: Option[Coll[Byte]]) => opt36.get.slice(1, 33) }(coll2(0)))\n )(0).value >= SELF.value, {(tuple36: (Coll[Box], Coll[Byte])) =>\n tuple36._1.exists({(box38: Box) => box38.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == tuple36._2 }) })\n }((OUTPUTS, coll3)), allOf(\n Coll[Boolean](\n box6.value == box7.value, box6.tokens == box7.tokens, func8(box6).digest == avlTree9.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll3, coll12)), coll1(3)\n ).get.digest, func13(box6).digest == if (bool16) { avlTree14.update(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get } else {\n avlTree14.insert(Coll[(Coll[Byte], Coll[Byte])]((coll3, coll25)), coll26).get\n }.digest, func27(box6) == func27(box7), func28(box6) == func28(box7), func29(box6) == func29(box7), func30(box6) == func30(\n box7\n ) + l20 - l19, func31(box6) == func31(box7) + l24 - l21, func32(box6) == func32(box7), func33(box6) == func33(box7), func34(box6) == func34(\n box7\n ), func35(box6) == func35(box7)\n )\n ), coll1(6) == coll12, coll1(7) == coll25\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "29ace6a68d613e9565649e1c9f20328ef74f5ee446ba9114339e902b2efe7984",
"mainChain": true
},
{
"boxId": "2cf62313ea9a7a06ce6cb876dc4b9037b7aa220712f11017d5101d1fdc5d7237",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 9,
"globalIndex": 43408771,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
"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": "CA9jRpRQnk5LMf89TV3dCWHnfhBDqrnmGDocfexSvJRZqBhSff2fd9D5h4UVxWcesC9grTw9PVq6JSK1Swq5QwMg6yh2gYz5aaMKFf1eYyGWkvZnutjcWk1ZAXMzSvccNfAREvgT2NS4VamrTaj26SZuiz9aiY5pgkTYPWrFcxCYGBw8qJKiGa1YdDERqmkMFmJVNC9jWnsoWUnmtvTX4sRRVrA3XyPNPs1JWTs2mTfqp2pWyR4m8bvBxTRdhV4N9PuhRtRVm4b133xRsWWPVKrAqmiVS2A1u2ZbPySy1qgWuP6Gy1v7Utw2jzEJkyawzGTNWfYC3oXAQcFx8n3Wwb8xZmzrRpwjHEpK239TRFQw5utZc6P16ynDB9Fizf7b9yUmLgA7HGjxCVXKKYCtgx3PFhJcx2euAPGTZkExaZsMf3LbTKQgRVuboPC3rBU6NV3fT7pQGZFBgcp1hugLsq6o5hbZRkEVbBN8otLkJ81p44ietyr77qW2nKUCsVwVLJXCWBHMSNvQNFubrA293W2zN86kMsmxbBq3FuzdgCeTZ2V5fRrLEeU7RmSyCnigLdvtW9uk98VGLSRzZsMyg9QLHdQp8S9zPLd6TpUFyaHEqPdsuyxRPoCa6MUYCLSWhzSKQZRHnZoEKuPqYPCNS2a8ZJe3ga17do8CJAifA3JSnS31L8A3iZj1oKjczZ7qJXRjCetXMgAmX5A1ajurRoibbociRdzWbs92uHgyk3Ac3vNEyMbnXKNNe1h2jinWGdE1r76DEkk6r71U5cMDCisTuBNqzzriv3pz7XZtc2gqDfXWsfu8BkTHKh2a1AsMSF6imnGRgbGGcoKocfZnzga85LADho22YPyZWk3d6etNZLPbkHMWpFhpL2vmwNg7rrAZb1Q1DmnNZwX3nbC8n1Hhmhk3ivB2msP1wXXswGneCUNm1rPrcn7kRaPmWKZFcPRJygtfJYhHCruLwdYwvQGde9VMKx39hFVq1RxykT4LGsVeLhRDGC",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1596e68f8ce4bc34e20aa5a18e35ace63df0ce0e850a9a5ad61bae4fd2e09573",
"mainChain": true
},
{
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"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000000,
"index": 10,
"globalIndex": 43408772,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
"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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 1,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780f8aee6d764000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1729771200000,0,0,0,0,0,0]"
},
"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": "b81f70e39070b3e460b4c2f1ce592f882e886827ca5542cb4fdc008e99c0a65b",
"mainChain": true
},
{
"boxId": "01a0e3330986f71cdfe0d72b6ad3e8471e1469cbc2268d5b750c05e0da008822",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 1000000,
"index": 11,
"globalIndex": 43408773,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"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": "cbe3fe70c39b25bfbc0a0d9d04c0ba992d7efdd8ea2721b0b53dacdf11c86258",
"mainChain": true
},
{
"boxId": "69b9f067c55ee544336b722dd7e3bb6fefaef0dfe0c39405c961599e165b0501",
"transactionId": "6c7f01aa85a461d3c0b7c9c4bb1cfd606c059cd159b25ce06a09c2592f56382b",
"blockId": "7246ba23010e55e32c742c7ed45681c7493eca8d3c8f68c12533a90d016fdf7d",
"value": 499798975260,
"index": 12,
"globalIndex": 43408774,
"creationHeight": 1380373,
"settlementHeight": 1380377,
"ergoTree": "0008cd028ee1019ca83537c95bbfb3d35afac4c16790d3f1597bd75b67e452b4f0d2cb63",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ee101,cddaf3,...)))}",
"address": "9fbzAZAQauntRwsnCNFPb7DzT7854qWp4uxeWrhgiscW43aFGfN",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 200000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "001b39ed5dd11d37d42e591699c79a08b6258d4208b8b636afb50c603c99ddef",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0b7c3cd3145209c6f455e2a0b890195eafcde934e09ca3d54d7972d1f1ce3c44",
"index": 2,
"amount": 4414,
"name": "ValleyDAO",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "01bf775d39ea0b1e04e0cd90625180271ec64020fd8f833f56e3e20794656e56",
"index": 3,
"amount": 2000000,
"name": "👽🚀",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a2e122a89c44e5418f2f88183568fb53ff7964b3e3eb9f26db8fd8a14a8db805",
"index": 4,
"amount": 1,
"name": "RSV Ram [ERGnomes Sigma Auctions] #RSV01",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
"index": 5,
"amount": 81,
"name": "Sigmanaut",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "72f431450530aa0b750918d23ba5f891f08e4840cc37fdc64745a3c3c1353ce8",
"index": 6,
"amount": 2328,
"name": "TRUMP 2024",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b42b41cb438c41d0139aa8432eb5eeb70d5a02d3df891f880d5fe08670c365",
"index": 7,
"amount": 221134100,
"name": "CRUX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
"index": 8,
"amount": 34500,
"name": "Shaggy",
"decimals": 0,
"type": "EIP-004"
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