Transaction
ID: a3ac431bc7...a33d
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
19 ERG
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Unspent
Address:
Settlement height:
Value:
18 ERG
Transaction Details
Confirmations: 59,411
Total coins transferred: 19 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000291 ERG
Raw Transaction Data
{
"id": "a3ac431bc732f1b9238cb613600fe4a2b2bbaa0d66a431fb04db7c250bc5a33d",
"blockId": "cc6dfb861861230077777c24ab963d3af0f9db20b3d007bb2b146ab4a49ab9be",
"inclusionHeight": 1718005,
"timestamp": 1770616977489,
"index": 4,
"globalIndex": 10274630,
"numConfirmations": 59411,
"inputs": [
{
"boxId": "bdbe747c5e25e1e7afd0a2250c6642987526d89a5272405b3d786d818abcde8e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d6264bed8fdc0a38205df778352b64a70a1ba32d19190e74c3e75d795c07c9c8",
"outputTransactionId": "233bfe671d6544243f57439a275d2d8151d58822e049f1364ca35e6ca6ccaeef",
"outputIndex": 2,
"outputGlobalIndex": 53372408,
"outputCreatedAt": 1714153,
"outputSettledAt": 1714156,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(-65,50,-61,48,-117,127,-4,-79,62,-13,127,-16,4,-86,52,18,-39,-24,61,41,126,84,7,51,-42,34,-125,-32,63,-84,-102,67)",
"ergoTreeScript": "{\n val func1 = {(box1: Box) => box1.tokens(0) }\n val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n tuple2._1.exists({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n }\n val preHeader3 = CONTEXT.preHeader\n val coll4 = placeholder[Coll[Byte]](1)\n val func5 = {(tuple5: (Coll[Box], Coll[Byte])) =>\n tuple5._1.filter({(box7: Box) => box7.tokens.exists({(tuple9: (Coll[Byte], Long)) => tuple9._1 == tuple5._2 }) })\n }\n val func6 = {(box6: Box) => box6.R4[Coll[Long]].get(0) }\n val func7 = {(box7: Box) => box7.R4[Coll[Long]].get(1) }\n val func8 = {(box8: Box) => box8.R4[Coll[Long]].get(3) }\n val func9 = {(box9: Box) => box9.R4[Coll[Long]].get(2) }\n val func10 = {(box10: Box) => box10.R5[Coll[Box]].get }\n val func11 = {(box11: Box) => box11.R4[Coll[Long]].get(4) }\n val func12 = {(l12: Long) =>\n if (l12 < 128L) { 1 } else {\n if (l12 < 16384L) { 2 } else {\n if (l12 < 2097152L) { 3 } else {\n if (l12 < 268435456L) { 4 } else {\n if (l12 < 34359738368L) { 5 } else {\n if (l12 < 4398046511104L) { 6 } else { if (l12 < 562949953421312L) { 7 } else { if (l12 < 72057594037927936L) { 8 } else { 9 } } }\n }\n }\n }\n }\n }\n }\n val func13 = {(box13: Box) =>\n val coll15 = box13.bytesWithoutRef\n val i16 = func12(box13.value) + box13.propositionBytes.size\n coll15.slice(0, i16).append(coll15.slice(i16 + func12(box13.creationInfo._1.toLong), coll15.size))\n }\n val func14 = {(coll14: Coll[Box]) =>\n coll14.flatMap({(box16: Box) => box16.tokens }).fold(0L, {(tuple16: (Long, (Coll[Byte], Long))) => tuple16._1 + tuple16._2._2 })\n }\n if (getVar[Byte](0.toByte).get == 12.toByte) {\n sigmaProp(\n {(coll15: Coll[Coll[Byte]]) =>\n allOf(\n Coll[Boolean](\n preHeader3.height - SELF.creationInfo._1 > 788400, coll15.forall({(coll17: Coll[Byte]) => !func2((OUTPUTS, coll17)) }), INPUTS.size == 1\n )\n )\n }(Coll[Coll[Byte]](func1(SELF)._1))\n )\n } else {(\n val coll15 = CONTEXT.dataInputs\n val box16 = func5((coll15, coll4))(0)\n val l17 = func9(SELF)\n val bool18 = l17 > 0L\n val coll19 = func10(SELF)\n val i20 = coll19.size\n val i21 = OUTPUTS.size\n val box22 = OUTPUTS(i21 - 1)\n val bool23 = blake2b256(box22.propositionBytes) == {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.R4[AvlTree].get }(func5((coll15, 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 )\n ), getVar[Coll[Byte]](1.toByte).get\n )(0)\n )\n val box24 = if (bool23) { OUTPUTS(i21 - 2) } else { box22 }\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n {(box25: Box) => box25.tokens(0) }(box16)._1 == coll4, {(box25: Box) => box25.R4[Coll[Int]].get(0) }(box16).toLong == func6(SELF), {(\n box25: Box\n ) => box25.R4[Coll[Int]].get(1) }(box16).toLong == func7(SELF)\n )\n ), preHeader3.timestamp >= func8(SELF), if (bool18) {(\n val coll25 = func10(SELF)\n val box26 = OUTPUTS(coll25.size)\n val l27 = func11(SELF)\n allOf(\n Coll[Boolean](\n box26.value == SELF.value, box26.tokens == SELF.tokens, func6(box26) == func6(SELF), func7(box26) == func7(SELF), func9(\n box26\n ) == l17 - 1L, func8(box26) == func8(SELF) + l27, func11(box26) == l27, func10(box26) == coll25, box26.propositionBytes == SELF.propositionBytes\n )\n )\n )} else { !func2((OUTPUTS, func1(SELF)._1)) }, coll19.zip(OUTPUTS.slice(0, i20)).forall(\n {(tuple25: (Box, Box)) => func13(tuple25._1) == func13(tuple25._2) }\n ), i21 == i20 + if (bool18) { 1 } else { 0 } + if (bool23) { 2 } else { 1 }, func14(INPUTS) == func14(OUTPUTS) + if (bool18) { 0L } else {\n 1L\n }, allOf(Coll[Boolean](box24.value <= 5000000L, box24.tokens.size == 0))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "1428b05ea5e2d1d91558df74094d124a3fbcd1b1bda5f066b572307ba16afad1",
"index": 0,
"amount": 1,
"name": "Autolykos Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105000200808ce28f886700",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,0,1770616800000,0]"
},
"R5": {
"serializedValue": "0c6301c098a8dd030008cd0278dda28a69cc1fe5deeaf64f66f87c0501320c99d714b229450918d3abcf106ae9cf6800009436998592b362572abbb8159ec30d043475e14357492aa7e4c10d04ea06cbbf00",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "e5f27425cc595f9d1ebeea02eaae77367eb7b084999cd8a63978779cc82fcdca",
"value": 19000000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "baf0c73b8d279cc18907864484544b3a28a673697e44431b7f56a8190db6ebf8",
"outputTransactionId": "87838c6d68433a0d57398b7147be2ddda8272527e9ebdd5a0ed90238c8edf8bc",
"outputIndex": 0,
"outputGlobalIndex": 51015522,
"outputCreatedAt": 1638767,
"outputSettledAt": 1638769,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(20,40,-80,94,-91,-30,-47,-39,21,88,-33,116,9,77,18,74,63,-68,-47,-79,-67,-91,-16,102,-75,114,48,123,-95,106,-6,-47,59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"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": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 70000,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 1,
"amount": 99716879,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "564d22d9e8f4e8de50517fa78c9556cf6d4f575c1610861ce9822968f7d44383",
"value": 1000000000,
"index": 0,
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"outputTransactionId": "433da0e4e955b204bdd0b12196df31b7d26ed0a800122e19603ac980db94a0d5",
"outputIndex": 1,
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"R4": {
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"sigmaType": null,
"renderedValue": null
}
}
},
{
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"value": 2000000,
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"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "10020002",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,1]"
},
"R5": {
"serializedValue": "11048ec8c8ee8767d0b20aacb802a4fa07",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1770581987847,85160,19990,65170]"
},
"R6": {
"serializedValue": "64b97a8cfa321b0c3ebf430b814ef7a4e2653035c80a0ec45bce798b9245e2a09e03072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0c576861742773204e6578743f",
"sigmaType": "Coll[SByte]",
"renderedValue": "576861742773204e6578743f"
}
}
}
],
"outputs": [
{
"boxId": "3bb08a5ab78ee29aa0c4b49353c2f07fa937e9102687f01da4f4d829eb3027f3",
"transactionId": "a3ac431bc732f1b9238cb613600fe4a2b2bbaa0d66a431fb04db7c250bc5a33d",
"blockId": "cc6dfb861861230077777c24ab963d3af0f9db20b3d007bb2b146ab4a49ab9be",
"value": 1001000000,
"index": 0,
"globalIndex": 53472896,
"creationHeight": 1718004,
"settlementHeight": 1718005,
"ergoTree": "0008cd0278dda28a69cc1fe5deeaf64f66f87c0501320c99d714b229450918d3abcf106a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(78dda2,d7c9d9,...)))}",
"address": "9fSHsLVsxcLviXV6ifKTBuNQZD4Wo7SA8U4HCYHPXNNTsMreYee",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "646d86ec1dff514320b004c2f48ad50373fe3bd574b56b2a17b12e92ca189b5e",
"transactionId": "a3ac431bc732f1b9238cb613600fe4a2b2bbaa0d66a431fb04db7c250bc5a33d",
"blockId": "cc6dfb861861230077777c24ab963d3af0f9db20b3d007bb2b146ab4a49ab9be",
"value": 1000000,
"index": 1,
"globalIndex": 53472897,
"creationHeight": 1718004,
"settlementHeight": 1718005,
"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": "e5fc4b96be8a26151698956f52c9bff5bec80cc488b9821f479e4f898ea118aa",
"mainChain": true
},
{
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"transactionId": "a3ac431bc732f1b9238cb613600fe4a2b2bbaa0d66a431fb04db7c250bc5a33d",
"blockId": "cc6dfb861861230077777c24ab963d3af0f9db20b3d007bb2b146ab4a49ab9be",
"value": 18000000000,
"index": 2,
"globalIndex": 53472898,
"creationHeight": 1718004,
"settlementHeight": 1718005,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(82,21,-96,77,68,76,-71,114,55,-24,-7,-126,-96,27,31,19,117,-107,-57,125,115,123,-52,119,-124,-94,-54,68,-127,21,25,-74)\n1: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n2: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n3: Coll(20,40,-80,94,-91,-30,-47,-39,21,88,-33,116,9,77,18,74,63,-68,-47,-79,-67,-91,-16,102,-75,114,48,123,-95,106,-6,-47,59,127,-76,-101,-64,-94,98,-22,-119,13,-11,36,-125,-6,-2,75,89,-67,55,107,-74,120,-124,82,121,108,19,-82,8,59,111,80)",
"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": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 70000,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "e840e3bf0c4a3390d6ad9e3e9bcc14638e649feddcdd8d245f75b9738680fef6",
"index": 1,
"amount": 99716879,
"name": "LYKOS",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
}
],
"size": 3433,
"isUnconfirmed": false
}