Transaction
ID: d6eba52fa3...c62f
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
4.91 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.81 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 367,589
Total coins transferred: 5.91 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000368 ERG
Raw Transaction Data
{
"id": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"inclusionHeight": 1409177,
"timestamp": 1733234968911,
"index": 10,
"globalIndex": 8174377,
"numConfirmations": 367589,
"inputs": [
{
"boxId": "0b224a2ec6da6b5004bce66cd59d6a7416c2702f33ac3499b6793b90c136e331",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0a91f9cf93f686a4e9d2fd93dc1ea2abaa9e6c6aef7c47392efdb61880fec45c",
"outputTransactionId": "263119a879bcbebf7011e098f9c1af9fa5a14b4de609f05d586a422d530d1735",
"outputIndex": 0,
"outputGlobalIndex": 44394843,
"outputCreatedAt": 1408542,
"outputSettledAt": 1408545,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 9,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0afbfb48065101210100000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735221832680,8,9,8,8,0,0]"
},
"R6": {
"serializedValue": "1d05010a010e010e01320132",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[5],[7],[7],[25],[25]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720003e74fa039b6470d5694c995310ee256067db51a4849eaf791f24e0b0d64574b803072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402b7a8ad63aae6fe23cdeb9872a7f0670c667c565d98371194f5a33ff28f140ed304072000692e9551b5595ad044f98ecc2ee7cb236c1914ca5ede3923d81ae77abf58cbfd03072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "de2d5da3ff014d24e404465a429e1b40482b127838c04681e11d69fe1c5ae24d",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7ede3d641e3f6a631d5004ea7bddd06c741465f0540f3eda15a1d038ad855155",
"outputTransactionId": "bee17929bf874c617763fa491e12d1f991a450e70e81a5f3d766f577ec1e308e",
"outputIndex": 1,
"outputGlobalIndex": 44394456,
"outputCreatedAt": 1408539,
"outputSettledAt": 1408541,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\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": {}
},
{
"boxId": "b0b4a64c13064d21efc5c14417e7abd825ad3350239d6faab7dd6427e88df2b2",
"value": 4908947888,
"index": 2,
"spendingProof": "0f77dea8ac3c1c4881305bf80fcc15e1543d010ca11e8c8666718793447147c4024671c4cce831a213ae7a90a981f173039e3700f2f0f0c9",
"outputBlockId": "a6420bf9a22d0dd461ed740f6fb6b2d8c283463d0536127ac5a4375f2685ba8e",
"outputTransactionId": "f95bd4c1333b7af15767526d394f1c3834ab89c008870ccab56d240eb9af925b",
"outputIndex": 3,
"outputGlobalIndex": 43575502,
"outputCreatedAt": 1386497,
"outputSettledAt": 1386499,
"ergoTree": "0008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9fbbec,f602bb,...)))}",
"address": "9fjQi1JrgFZ9QBKGbE7EYDwUwAvGUk95Wa92kV2D4EnggNcnMzN",
"assets": [
{
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"index": 0,
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"name": "CyberVerse Skin - Nautilus",
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"type": "EIP-004"
},
{
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"index": 1,
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"name": "Cybercitizen #7475",
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"type": "EIP-004"
},
{
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},
{
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{
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{
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"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa6e1dcd318fa6a4636f8b574caed1bda89ec047efc76ab62e3f663403fe7476",
"index": 43,
"amount": 21,
"name": " [CyberVerse] Angry Face with Horns emote",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0b3129216e464db59e93f5122982f4dd9fcd9ff00bebbd6bfb27a2239d01d23",
"index": 44,
"amount": 1,
"name": "20th Bober Poker Night Winner",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "945dc68a71f92da09c57090c7f272053382eff2aed44aa92f3a1b609a639e9fc",
"index": 45,
"amount": 1,
"name": "[CyberVerse] Cardano Emote",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "48aba21b4896743f92c1a64098127c20a6e23b327b574e81e750da1b8bc711ef",
"index": 46,
"amount": 21,
"name": " [CyberVerse] Face with Tears of Joy emote",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d1ae121e4bc9c4b5b00d70058dc777d82ba2aaf18d524396a7b7edb259b0df93",
"index": 47,
"amount": 1,
"name": "[CyberVerse] Cheers Emote",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a500898895f20a86122fb86ef82f6eb2467fed1c0b7243373af32eac0ad8bdda",
"index": 48,
"amount": 1,
"name": "Donald Duck 100x ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "94cd6670d3260826cc8043556ea29ba95acbcf8b23136b68143ac19525deda70",
"index": 49,
"amount": 1,
"name": "CyberVerse Skin - Mad Reaper",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "faae88e2f809a7a2cd9308c0f41c3da95ef542da934e4bd85e97848bba14becc",
"value": 1000000,
"index": 3,
"spendingProof": "875d5a808ed76f5738abe7c9caeb3c21aa5e3411cfc923e370cb77047b2da306afb402cc818c7981e24b164a76346ac87b649092ff1e747b",
"outputBlockId": "b5fb719cdcbb551fa15ffdae62fe2d7a13087de9ef98c91657b438083167f194",
"outputTransactionId": "80f2398dd0f777a24fe92abb44ca527f4d8b306639d7d77b36be2bf5e10f37f7",
"outputIndex": 2,
"outputGlobalIndex": 44429881,
"outputCreatedAt": 1409161,
"outputSettledAt": 1409163,
"ergoTree": "0008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9fbbec,f602bb,...)))}",
"address": "9fjQi1JrgFZ9QBKGbE7EYDwUwAvGUk95Wa92kV2D4EnggNcnMzN",
"assets": [
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 0,
"amount": 1,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "2a7207c0b4e7de5c2f94f84fdb32f11ef57cda37511f75471a0d9cc9e1f18f9d",
"value": 1000000000,
"index": 0,
"outputBlockId": "82590f971cb70ea8496f9b55d966c6bfb441e12b5948dbbcde170f3b9462f4f9",
"outputTransactionId": "68a242a1ea8a1bc76ec299cf04b6180f20802a58cc2ad8830dc98e0c8e1e3209",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "645fd262e3eaaa9b5a03a25183a501df06e007d53e3bc2c222cae5c970ed77dd6b06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "54adf99722e68a2986eda5fa3fcf6ff85ec5dbde5c3cc2667454c8ed93536bae",
"transactionId": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"value": 1000000000,
"index": 0,
"globalIndex": 44430615,
"creationHeight": 1409175,
"settlementHeight": 1409177,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
"ergoTreeScript": "{\n val coll1 = Coll[Byte](\n -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n )\n val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n }\n val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n val opt5 = getVar[Coll[Byte]](1.toByte)\n val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n val func7 = {(box7: Box) => box7.tokens(0) }\n val tuple8 = func7(SELF)\n val box9 = func3((OUTPUTS, tuple8._1))(0)\n val func10 = {(box10: Box) => box10.tokens(1) }\n val func11 = {(coll11: Coll[Byte]) =>\n val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n allOf(\n Coll[Boolean](\n {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n (INPUTS, func6(coll13(1)))\n ).size == 1, {(coll14: Coll[Byte]) =>\n allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n }(func6(coll13(0)))\n )\n )\n }\n val b12 = getVar[Byte](0.toByte).get\n val i13 = INPUTS.indexOf(SELF, 0)\n val func14 = {(l14: Long) =>\n if (l14 < 128L) { 1 } else {\n if (l14 < 16384L) { 2 } else {\n if (l14 < 2097152L) { 3 } else {\n if (l14 < 268435456L) { 4 } else {\n if (l14 < 34359738368L) { 5 } else {\n if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n sigmaProp(\n anyOf(\n Coll[Boolean](\n {(b15: Byte) =>\n if (b15 == 0.toByte) {\n func11(\n Coll[Byte](\n 3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 2.toByte) {\n func11(\n Coll[Byte](\n -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 1.toByte) {\n func11(\n Coll[Byte](\n -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 3.toByte) {\n func11(\n Coll[Byte](\n 79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 4.toByte) {\n func11(\n Coll[Byte](\n -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 5.toByte) {\n func11(\n Coll[Byte](\n 58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) =>\n if (b15 == 6.toByte) {\n func11(\n Coll[Byte](\n 9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n )\n )\n } else { false }\n }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n val box19 = OUTPUTS(i13)\n val l20 = box19.value\n val l21 = SELF.value\n val coll22 = box19.propositionBytes\n val coll23 = SELF.bytesWithoutRef\n val coll24 = SELF.propositionBytes\n val i25 = SELF.creationInfo._1\n val coll26 = box19.bytesWithoutRef\n val i27 = box19.creationInfo._1\n allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n )} }((coll1, box4)) } else { false } }(b12)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
"index": 0,
"amount": 1,
"name": "Sigmanauts Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
"index": 1,
"amount": 10,
"name": "Sigmanaut",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0afbfb48065121410100000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1735221832680,9,10,8,8,0,0]"
},
"R6": {
"serializedValue": "1d05010a010e010e01320132",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[5],[7],[7],[25],[25]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720003e74fa039b6470d5694c995310ee256067db51a4849eaf791f24e0b0d64574b803072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402bf201b440f5fce30c89c507ff1d8261c12745bf9b66204fd54aeb4cb80a7ffa604072000692e9551b5595ad044f98ecc2ee7cb236c1914ca5ede3923d81ae77abf58cbfd03072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "5f13636b5d953fcf1ddbe1fe81dcd4d7a73e35c93a50ccf79c31d2bde35f87b9",
"mainChain": true
},
{
"boxId": "7a02270d1d665f5163004e49e8f4829fb0368b1dcd6ef2157514a7a648782cd8",
"transactionId": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"value": 1000000,
"index": 1,
"globalIndex": 44430616,
"creationHeight": 1409175,
"settlementHeight": 1409177,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
"ergoTreeScript": "{\n val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n }\n val coll2 = placeholder[Coll[Byte]](1)\n val box3 = func1((OUTPUTS, coll2))(0)\n val box4 = func1((INPUTS, coll2))(0)\n val func5 = {(box5: Box) =>\n val coll7 = box5.tokens\n coll7.slice(2, coll7.size)\n }\n val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n val func9 = {(box9: Box) =>\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": "fd6c4a4bc686262d8f931fb4b6fcaef2101070a548ab4dbf70a628ec050b31d8",
"mainChain": true
},
{
"boxId": "5605d35a05a0b96e1273bd0d98813262dcb6c2a874d22e3343377ee578f2297f",
"transactionId": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"value": 1000000,
"index": 2,
"globalIndex": 44430617,
"creationHeight": 1409175,
"settlementHeight": 1409177,
"ergoTree": "0008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9fbbec,f602bb,...)))}",
"address": "9fjQi1JrgFZ9QBKGbE7EYDwUwAvGUk95Wa92kV2D4EnggNcnMzN",
"assets": [
{
"tokenId": "0b224a2ec6da6b5004bce66cd59d6a7416c2702f33ac3499b6793b90c136e331",
"index": 0,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e155369676d616e61757473204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473204d656d62657273686970"
},
"R5": {
"serializedValue": "0e385369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "5369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "2610bdc9777ea82584c9aa1945ff356f4f39f8f117cca7e72e1d461144a3fecc",
"mainChain": true
},
{
"boxId": "5699cb5d7ca362ea41c46c3f558726b8d33f771fd97dad5776f2a8b21130870e",
"transactionId": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"value": 100000000,
"index": 3,
"globalIndex": 44430618,
"creationHeight": 1409175,
"settlementHeight": 1409177,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "efe6e64d8c29d7f5dc9b4162cc4c4e7da652053ab02376fd842128c1a2e61472",
"mainChain": true
},
{
"boxId": "856e85a908f980697cd10d8a8140c1229e8a1fffdea692c51d936a89447e0c1b",
"transactionId": "d6eba52fa361cd97a2ab02720ce5aebd70c917c0b870cfb5dc357757bdaac62f",
"blockId": "39361078bf6285203f68af5c8599d1a94f802c38420dbdaafd1aa9ab69ceed07",
"value": 2350000,
"index": 4,
"globalIndex": 44430619,
"creationHeight": 1409175,
"settlementHeight": 1409177,
"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",
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