Transaction
ID: 0c7323d8cd...d454
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.07925 ERG
Tokens:
407,265.70
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00125 ERG
Tokens:
0
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00015 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00385 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0755 ERG
Tokens:
379,868.69
Transaction Details
Confirmations: 426,150
Total coins transferred: 1.09 ERG
Fees: 0.00385 ERG
Fees per byte: 0.000000299 ERG
Raw Transaction Data
{
"id": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"inclusionHeight": 1333021,
"timestamp": 1724025712668,
"index": 4,
"globalIndex": 7668242,
"numConfirmations": 426150,
"inputs": [
{
"boxId": "9307a5eda13259329244e613b6ba1147305b37f24088d80d6cebe734b1e13f30",
"value": 1008500000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b00bff07cb5788350c18129cb61fd58094d787b200a6386621735452af978f4a",
"outputTransactionId": "b0b677797a50ef4fd863897035bf21436151e75e9921a56eb9e5e3d0fac0b90a",
"outputIndex": 0,
"outputGlobalIndex": 42203949,
"outputCreatedAt": 1332359,
"outputSettledAt": 1332362,
"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": 3021910261,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780e0f7feac64bac1f5c116020000ae02a0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1724025600000,3021910109,1,0,0,151,250000]"
},
"R6": {
"serializedValue": "1d05019af4d1bc140100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[2747940109],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "1102a0cda3850200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273970000,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64024e73cfc2fe07ec4c6038722132545c877f09b19ac0d71a3f16aae288cc2d1e24010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "9fbe414435a9f4f932bb965498bd797237ef4106f9c11f7ece77e7dc43bc6708",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4b7d5bd8961f3c0160e1884d06f962928fc77f32a3d72e5f10d4cb97453b06f7",
"outputTransactionId": "1aa9277dbce71624d93e61c5fb61e0e519a807caba355133234b39882ea59783",
"outputIndex": 1,
"outputGlobalIndex": 42203562,
"outputCreatedAt": 1332337,
"outputSettledAt": 1332339,
"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 = {(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": {}
},
{
"boxId": "ec8858e7d2dfe37a638f50142d8f7442ea9afa4436d34611660bedbbafe44e8f",
"value": 79250000,
"index": 2,
"spendingProof": null,
"outputBlockId": "4b7d5bd8961f3c0160e1884d06f962928fc77f32a3d72e5f10d4cb97453b06f7",
"outputTransactionId": "8042b4456f8f3431dbb701c49618db71cfe5e47c251b4ae473461173b1f898a1",
"outputIndex": 4,
"outputGlobalIndex": 42203573,
"outputCreatedAt": 1332337,
"outputSettledAt": 1332339,
"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(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,-115,127,42,116,31,-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])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\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 = Coll[Byte]()\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n val coll6 = placeholder[Coll[Byte]](3)\n val coll7 = coll6.slice(32, 64)\n val coll8 = placeholder[Coll[Byte]](0)\n val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n val coll10 = placeholder[Coll[Byte]](2)\n val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n }) }\n val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n val coll13 = Coll[Byte](\n 91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n )\n val b14 = getVar[Byte](0.toByte).get\n val func15 = {(box15: Box) => box15.tokens(1) }\n val i16 = INPUTS.indexOf(SELF, 0)\n val func17 = {(l17: Long) =>\n if (l17 < 128L) { 1 } else {\n if (l17 < 16384L) { 2 } else {\n if (l17 < 2097152L) { 3 } else {\n if (l17 < 268435456L) { 4 } else {\n if (l17 < 34359738368L) { 5 } else {\n if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val box21 = func1((OUTPUTS, coll20))(0)\n val coll22 = CONTEXT.dataInputs\n val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n val coll24 = opt4.getOrElse(coll3)\n val coll25 = func1((INPUTS, coll20))\n val l26 = func5(coll25)\n val box27 = func2((OUTPUTS, coll7))(0)\n val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-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), Coll[Byte](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), Coll[Byte](-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), Coll[Byte](-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)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n val l31 = func11((coll25, coll10))\n val coll32 = Coll[Box](box21)\n val l33 = func11((coll32, coll10))\n val l34 = func11((coll25, coll29))\n val l35 = func11((coll32, coll29))\n val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n val coll38 = tuple36._1\n (coll38 != coll10) && (coll38 != coll29)\n }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n val coll39 = tuple37._1\n (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n })\n anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.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), coll13), coll24)\n val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n val bool42 = coll10 == coll29\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n )} else { false } }(b14)))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](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(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val coll21 = func1((INPUTS, coll20))\n val coll22 = func1((OUTPUTS, coll20))\n val l23 = func5(coll21)\n allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n val box22 = OUTPUTS(i16)\n val l23 = box22.value\n val l24 = SELF.value\n val coll25 = box22.propositionBytes\n val coll26 = SELF.bytesWithoutRef\n val coll27 = SELF.propositionBytes\n val i28 = SELF.creationInfo._1\n val coll29 = box22.bytesWithoutRef\n val i30 = box22.creationInfo._1\n allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 4072656988,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c3a63672d16f0f5b824d6c8aedc59be81811e2c0c218800e0ee1b9c5e5fb7b21",
"value": 1250000,
"index": 3,
"spendingProof": null,
"outputBlockId": "b00bff07cb5788350c18129cb61fd58094d787b200a6386621735452af978f4a",
"outputTransactionId": "b0b677797a50ef4fd863897035bf21436151e75e9921a56eb9e5e3d0fac0b90a",
"outputIndex": 3,
"outputGlobalIndex": 42203952,
"outputCreatedAt": 1332359,
"outputSettledAt": 1332362,
"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(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,-115,127,42,116,31,-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])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\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 = Coll[Byte]()\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n val coll6 = placeholder[Coll[Byte]](3)\n val coll7 = coll6.slice(32, 64)\n val coll8 = placeholder[Coll[Byte]](0)\n val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n val coll10 = placeholder[Coll[Byte]](2)\n val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n }) }\n val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n val coll13 = Coll[Byte](\n 91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n )\n val b14 = getVar[Byte](0.toByte).get\n val func15 = {(box15: Box) => box15.tokens(1) }\n val i16 = INPUTS.indexOf(SELF, 0)\n val func17 = {(l17: Long) =>\n if (l17 < 128L) { 1 } else {\n if (l17 < 16384L) { 2 } else {\n if (l17 < 2097152L) { 3 } else {\n if (l17 < 268435456L) { 4 } else {\n if (l17 < 34359738368L) { 5 } else {\n if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val box21 = func1((OUTPUTS, coll20))(0)\n val coll22 = CONTEXT.dataInputs\n val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n val coll24 = opt4.getOrElse(coll3)\n val coll25 = func1((INPUTS, coll20))\n val l26 = func5(coll25)\n val box27 = func2((OUTPUTS, coll7))(0)\n val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-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), Coll[Byte](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), Coll[Byte](-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), Coll[Byte](-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)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n val l31 = func11((coll25, coll10))\n val coll32 = Coll[Box](box21)\n val l33 = func11((coll32, coll10))\n val l34 = func11((coll25, coll29))\n val l35 = func11((coll32, coll29))\n val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n val coll38 = tuple36._1\n (coll38 != coll10) && (coll38 != coll29)\n }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n val coll39 = tuple37._1\n (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n })\n anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.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), coll13), coll24)\n val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n val bool42 = coll10 == coll29\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n )} else { false } }(b14)))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](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(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val coll21 = func1((INPUTS, coll20))\n val coll22 = func1((OUTPUTS, coll20))\n val l23 = func5(coll21)\n allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n val box22 = OUTPUTS(i16)\n val l23 = box22.value\n val l24 = SELF.value\n val coll25 = box22.propositionBytes\n val coll26 = SELF.bytesWithoutRef\n val coll27 = SELF.propositionBytes\n val i28 = SELF.creationInfo._1\n val coll29 = box22.bytesWithoutRef\n val i30 = box22.creationInfo._1\n allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 152,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "bea1992a48d59689ad87746de2dd75f8f7394928caaacd193318c867ca1d2f26",
"value": 1000000000,
"index": 0,
"outputBlockId": "006733d006058ea4d070ac27cea8aed8ac0ab1292fa15f4baa066de538550ee6",
"outputTransactionId": "4b4771c304400f1b45db2e8ef40333b9facacc9a99c0a9814fd36d56df02f0c1",
"outputIndex": 2,
"ergoTree": "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",
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"assets": [],
"additionalRegisters": {
"R4": {
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"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "bd68ce5b43bd80aa878102ac476a926355bd43303d903c91ec7b446680f5fed8",
"transactionId": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"value": 1008500000,
"index": 0,
"globalIndex": 42221644,
"creationHeight": 1333019,
"settlementHeight": 1333021,
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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}",
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"name": "Paideia Stake State",
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"additionalRegisters": {
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"settlementHeight": 1333021,
"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 = {(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": "83565e36cfb29578cdfbb28512770a484e52506e6e535b53bde33408ac9c0d97",
"mainChain": true
},
{
"boxId": "4651043f9a5191e75d2a9295df9451ffa9c530020ddd1c361583abe82fde79b0",
"transactionId": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"value": 150000,
"index": 2,
"globalIndex": 42221646,
"creationHeight": 1333019,
"settlementHeight": 1333021,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 100,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e7528d2525a45d3c7361207bc76794bb77887b79b162932178e90fd2dbd7c814",
"mainChain": true
},
{
"boxId": "f3e7e7b5900f942f6b9ce94cd64d772c665e36533877a2706f5d9edf25b71f2e",
"transactionId": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"value": 1000000,
"index": 3,
"globalIndex": 42221647,
"creationHeight": 1333019,
"settlementHeight": 1333021,
"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 = {(opt1: Option[Coll[Byte]]) => opt1.get.slice(1, 33) }\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 = {(box3: Box) => box3.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n Coll[Coll[Byte]](\n Coll[Byte](\n -57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte\n ), 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 ), Coll[Byte](\n -2.toByte, 33.toByte, -71.toByte, 115.toByte, -52.toByte, -76.toByte, -39.toByte, 31.toByte, 40.toByte, -117.toByte, 28.toByte, 91.toByte, 58.toByte, 79.toByte, 109.toByte, -98.toByte, 12.toByte, 82.toByte, -10.toByte, -79.toByte, 99.toByte, -61.toByte, -121.toByte, -94.toByte, 55.toByte, 14.toByte, -76.toByte, -7.toByte, -76.toByte, 0.toByte, 26.toByte, 62.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 coll4 = func1(coll3(0))\n val coll5 = func1(coll3(1))\n val box6 = OUTPUTS.filter({(box6: Box) =>\n val coll8 = blake2b256(box6.propositionBytes)\n (coll8 != coll4) && (coll8 != coll5)\n })(0)\n val func7 = {(coll7: Coll[Box]) =>\n coll7.flatMap({(box9: Box) => box9.tokens }).fold(0L, {(tuple9: (Long, (Coll[Byte], Long))) => tuple9._1 + tuple9._2._2 })\n }\n val box8 = {(tuple8: (Coll[Box], Coll[Byte])) => tuple8._1.filter({(box10: Box) => blake2b256(box10.propositionBytes) == tuple8._2 }) }((OUTPUTS, coll4))(0)\n val l9 = box8.value\n val b10 = coll3(2).get(1)\n val coll11 = placeholder[Coll[Byte]](1)\n val func12 = {(tuple12: (Coll[Box], Coll[Byte])) => tuple12._1.flatMap({(box14: Box) => box14.tokens }).fold(0L, {(tuple14: (Long, (Coll[Byte], Long))) =>\n val tuple16 = tuple14._2\n tuple14._1 + if (tuple16._1 == tuple12._2) { tuple16._2 } else { 0L }\n }) }\n sigmaProp(\n allOf(Coll[Boolean](box6.value <= 5000000L, box6.tokens.size == 0, func7(INPUTS) == func7(OUTPUTS), l9 >= 1000000L)) && if (b10.toInt <= 0) {\n OUTPUTS.size == 2\n } else {(\n val box13 = func2((OUTPUTS, coll11))(0)\n val box14 = func2((INPUTS, coll11))(0)\n val l15 = box13.value - box14.value\n val l16 = b10.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == 4, blake2b256(box13.propositionBytes) == coll5, l15 + l9 - 1000000L * l16 / 100L == l15, Coll[Coll[Byte]](\n {(opt17: Option[Coll[Byte]]) => opt17.get.slice(6, 38) }(coll3(3))\n ).forall({(coll17: Coll[Byte]) =>\n val l19 = func12((Coll[Box](box13), coll17)) - func12((Coll[Box](box14), coll17))\n l19 + func12((Coll[Box](box8), coll17)) * l16 / 100L == l19\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 101,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2dd2d36840f3108a63bc027ee7dfbcb81a24a6ec4b5799f5c1d9e3d5ad84eb1a",
"mainChain": true
},
{
"boxId": "93983b5746ac303759366c4a6809109449c0199a1fcaf5b95b1bf40f9eb536c8",
"transactionId": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"value": 3850000,
"index": 4,
"globalIndex": 42221648,
"creationHeight": 1333019,
"settlementHeight": 1333021,
"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": "d05884511e95717d4e48e9a5f524658bae6e2a527466bea1704baf274bbc19db",
"mainChain": true
},
{
"boxId": "3d86bec5abb32bd981ac0d8e00a2fbac516ad0fbb5fb488c97be8d592d193bc7",
"transactionId": "0c7323d8cd85f4da75fed6cebb459a855b7e11c7f5a9141809488b3cbae7d454",
"blockId": "8fec18ed7222f6bcbbc3948e689ed48ee28792041a23410e96e77e04397da3cc",
"value": 75500000,
"index": 5,
"globalIndex": 42221649,
"creationHeight": 1333019,
"settlementHeight": 1333021,
"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(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,-115,127,42,116,31,-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])) => tuple1._1.filter({(box3: Box) => blake2b256(box3.propositionBytes) == tuple1._2 }) }\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 = Coll[Byte]()\n val opt4 = getVar[Coll[Byte]](1.toByte)\n val func5 = {(coll5: Coll[Box]) => coll5.fold(0L, {(tuple7: (Long, Box)) => tuple7._1 + tuple7._2.value }) }\n val coll6 = placeholder[Coll[Byte]](3)\n val coll7 = coll6.slice(32, 64)\n val coll8 = placeholder[Coll[Byte]](0)\n val func9 = {(box9: Box) => box9.R4[AvlTree].get }\n val coll10 = placeholder[Coll[Byte]](2)\n val func11 = {(tuple11: (Coll[Box], Coll[Byte])) => tuple11._1.flatMap({(box13: Box) => box13.tokens }).fold(0L, {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == tuple11._2) { tuple15._2 } else { 0L }\n }) }\n val func12 = {(opt12: Option[Coll[Byte]]) => opt12.get.slice(1, 33) }\n val coll13 = Coll[Byte](\n 91.toByte, -49.toByte, -15.toByte, 2.toByte, 37.toByte, 67.toByte, 102.toByte, 120.toByte, 12.toByte, -43.toByte, 25.toByte, 18.toByte, 87.toByte, 5.toByte, 10.toByte, 110.toByte, -45.toByte, 58.toByte, -59.toByte, -47.toByte, 46.toByte, -17.toByte, 14.toByte, 48.toByte, 65.toByte, 57.toByte, -19.toByte, 93.toByte, -104.toByte, 31.toByte, 75.toByte, -6.toByte\n )\n val b14 = getVar[Byte](0.toByte).get\n val func15 = {(box15: Box) => box15.tokens(1) }\n val i16 = INPUTS.indexOf(SELF, 0)\n val func17 = {(l17: Long) =>\n if (l17 < 128L) { 1 } else {\n if (l17 < 16384L) { 2 } else {\n if (l17 < 2097152L) { 3 } else {\n if (l17 < 268435456L) { 4 } else {\n if (l17 < 34359738368L) { 5 } else {\n if (l17 < 4398046511104L) { 6 } else { if (l17 < 562949953421312L) { 7 } else { if (l17 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(anyOf(Coll[Boolean]({(b18: Byte) => if ((b18 == 3.toByte) || (b18 == 4.toByte)) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val box21 = func1((OUTPUTS, coll20))(0)\n val coll22 = CONTEXT.dataInputs\n val box23 = func2((coll22, placeholder[Coll[Byte]](1)))(0)\n val coll24 = opt4.getOrElse(coll3)\n val coll25 = func1((INPUTS, coll20))\n val l26 = func5(coll25)\n val box27 = func2((OUTPUTS, coll7))(0)\n val coll28 = func9(func2((coll22, coll8))(0)).getMany(Coll[Coll[Byte]](Coll[Byte](-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), Coll[Byte](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), Coll[Byte](-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), Coll[Byte](-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)), getVar[Coll[Byte]](2.toByte).getOrElse(coll3))\n val coll29 = {(opt29: Option[Coll[Byte]]) => opt29.get.slice(6, 38) }(coll28(3))\n val l30 = byteArrayToLong(coll28(2).get.slice(1, 9))\n val l31 = func11((coll25, coll10))\n val coll32 = Coll[Box](box21)\n val l33 = func11((coll32, coll10))\n val l34 = func11((coll25, coll29))\n val l35 = func11((coll32, coll29))\n val bool36 = box21.tokens.filter({(tuple36: (Coll[Byte], Long)) =>\n val coll38 = tuple36._1\n (coll38 != coll10) && (coll38 != coll29)\n }).forall({(tuple36: (Coll[Byte], Long)) => tuple36._2 >= func11((coll25, tuple36._1)) })\n val bool37 = coll25.flatMap({(box37: Box) => box37.tokens }).forall({(tuple37: (Coll[Byte], Long)) =>\n val coll39 = tuple37._1\n (coll39 == coll10) || box21.tokens.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll39 })\n })\n anyOf(Coll[Boolean]({(b38: Byte) => if (b38 == 3.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](34.toByte, 94.toByte, 63.toByte, -59.toByte, -47.toByte, -119.toByte, -11.toByte, 71.toByte, -39.toByte, -58.toByte, 38.toByte, -66.toByte, -67.toByte, -58.toByte, 113.toByte, 57.toByte, -117.toByte, 108.toByte, 0.toByte, 124.toByte, 120.toByte, 61.toByte, -60.toByte, 127.toByte, -112.toByte, 63.toByte, 36.toByte, -65.toByte, 127.toByte, 52.toByte, -124.toByte, 121.toByte), Coll[Byte](-68.toByte, 74.toByte, 90.toByte, -71.toByte, -28.toByte, 90.toByte, -73.toByte, 75.toByte, 121.toByte, -6.toByte, -20.toByte, -65.toByte, 103.toByte, 73.toByte, 108.toByte, -62.toByte, -65.toByte, -116.toByte, 43.toByte, 14.toByte, 85.toByte, -37.toByte, -24.toByte, -84.toByte, -49.toByte, -61.toByte, -99.toByte, 20.toByte, -119.toByte, 17.toByte, 116.toByte, -112.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), coll13), coll24)\n val l41 = byteArrayToLong(coll40(0).get.slice(1, 9)) * {(box41: Box) => box41.R5[Coll[Long]].get(2) }(box27) + 1L\n val bool42 = coll10 == coll29\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(3).get.slice(1, 9)), l33 >= l31 - l41 + byteArrayToLong(coll40(1).get.slice(1, 9)) + if (bool42) { l30 } else { 0L }, if (bool42) { true } else { l35 >= l34 - l30 }, bool36, bool37, func11((Coll[Box](OUTPUTS.filter({(box43: Box) => blake2b256(box43.propositionBytes) == coll40(2).get.slice(1, 33) })(0)), coll10)) >= l41, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(1))))\n )} else { false } }(b14), {(b38: Byte) => if (b38 == 4.toByte) {(\n val coll40 = func9(box23).getMany(Coll[Coll[Byte]](Coll[Byte](-20.toByte, -14.toByte, -48.toByte, 75.toByte, -82.toByte, 72.toByte, -96.toByte, 10.toByte, -118.toByte, 110.toByte, 73.toByte, -64.toByte, 86.toByte, 114.toByte, 99.toByte, -55.toByte, -11.toByte, -46.toByte, 63.toByte, 38.toByte, -56.toByte, 35.toByte, 88.toByte, -95.toByte, 118.toByte, -85.toByte, -47.toByte, -16.toByte, 33.toByte, -40.toByte, -79.toByte, 48.toByte), coll13), coll24)\n allOf(Coll[Boolean](box21.value >= l26 - byteArrayToLong(coll40(1).get.slice(1, 9)), l33 >= l31 - byteArrayToLong(coll40(0).get.slice(1, 9)), if (coll10 == coll29) { true } else { l35 >= l34 }, bool36, bool37, blake2b256(INPUTS(1).propositionBytes) == func12(coll28(0)), func15(box27)._2 == func15(func2((INPUTS, coll7))(0))._2))\n )} else { false } }(b14)))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 9.toByte) { func9(func2((CONTEXT.dataInputs, coll8))(0)).getMany(Coll[Coll[Byte]](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(func2((INPUTS, coll6.slice(0, 32)))(0).propositionBytes))), opt4.get)(0).isDefined } else { false } }(b14), {(b18: Byte) => if (b18 == 10.toByte) {(\n val coll20 = blake2b256(SELF.propositionBytes)\n val coll21 = func1((INPUTS, coll20))\n val coll22 = func1((OUTPUTS, coll20))\n val l23 = func5(coll21)\n allOf(Coll[Boolean](coll21.size >= 5, coll22.size == 1, coll22(0).tokens.forall({(tuple24: (Coll[Byte], Long)) => func11((coll21, tuple24._1)) == tuple24._2 }), l23 - func5(coll22) <= 2000000L, l23 >= 2000000L))\n )} else { false } }(b14), {(b18: Byte) => if (b18 == 7.toByte) { {(tuple20: (Coll[Byte], Box)) => if (i16 >= OUTPUTS.size) { false } else {(\n val box22 = OUTPUTS(i16)\n val l23 = box22.value\n val l24 = SELF.value\n val coll25 = box22.propositionBytes\n val coll26 = SELF.bytesWithoutRef\n val coll27 = SELF.propositionBytes\n val i28 = SELF.creationInfo._1\n val coll29 = box22.bytesWithoutRef\n val i30 = box22.creationInfo._1\n allOf(Coll[Boolean](l23 >= l24 - 2000000L, blake2b256(coll25) == func12(func9(tuple20._2).getMany(Coll[Coll[Byte]](tuple20._1), opt4.getOrElse(coll3))(0)), coll26.slice(func17(l24) + coll27.size + func17(i28.toLong), coll26.size) == coll29.slice(func17(l23) + coll25.size + func17(i30.toLong), coll29.size), anyOf(Coll[Boolean](i30 - i28 >= 504000, coll27 != coll25))))\n )} }((Coll[Byte](-57.toByte, -59.toByte, 55.toByte, -26.toByte, -58.toByte, 53.toByte, -109.toByte, 14.toByte, -53.toByte, 74.toByte, -50.toByte, -107.toByte, -91.toByte, 73.toByte, 38.toByte, -77.toByte, -85.toByte, 119.toByte, 105.toByte, -115.toByte, -97.toByte, 73.toByte, 34.toByte, -16.toByte, -79.toByte, -59.toByte, -114.toByte, -88.toByte, 113.toByte, 86.toByte, 72.toByte, 59.toByte), func2((CONTEXT.dataInputs, coll8))(0))) } else { false } }(b14))))\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 3798686939,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e3fee4baaaecb26b2c538762f217c7ae4252252ec3625264cc5ea46411fdab91",
"mainChain": true
}
],
"size": 12885,
"isUnconfirmed": false
}