Transaction
ID: f844648187...54b6
Inputs (3)
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:
7.09 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:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.04 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 305,121
Total coins transferred: 8.09 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000497 ERG
Raw Transaction Data
{
"id": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"inclusionHeight": 1452182,
"timestamp": 1738432175522,
"index": 2,
"globalIndex": 8531648,
"numConfirmations": 305121,
"inputs": [
{
"boxId": "7bf16bf22db6048fd2730f6de921ea71a312c3962850e6b54f86615264086112",
"value": 1000000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5115d96676cf8bead4c6a91614957d3722796ea67690a1f7954d8499b608b587",
"outputTransactionId": "c83eefcb05036e003ed760d8d837628e5f06b22a85b2d5cd6e99c884181b4362",
"outputIndex": 2,
"outputGlobalIndex": 46023400,
"outputCreatedAt": 1451532,
"outputSettledAt": 1451534,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(126,-119,-126,-122,21,45,53,37,-18,-76,-34,-118,29,-125,58,61,92,-95,-6,120,-71,10,-24,61,-102,15,4,-63,66,31,66,-68)",
"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": "3bseGyqZTWQP9iNVKcDSqKrXPC2RjG79BUgkdZNJdziBM5KEgWnn681wfa6V2qhjaGBuDJCtt2FuXek2GgFfqnVii1uNni9m4HHADAuUVzDV12U8fdVYiPhhUscBJkwfZeSf4rWhmYqySAJeooZ5nRmGnuY9HXNUTDk5ioY8go56S9oGrtEGh3qdKF766ARX6dQ3bXLzHhnfY1no8xppxohNnfTn3oxF11sUMY6pCWm1E9nLrmrqHd4NqhGpTP4sAsJbAFZPyWHetsfXoBYVHqokkdXAxg3jSgKWXXNxc4hhrUaWqwvMgc4PVLRmUXB4GNyfCSSeM4Aha8pM7ADZBLDqUKqMCoV7Jqcso5ymtcg92K6ZGkJhnPTUZsd2yyF7PWnaz7J4NfZLuQLzu9HqrBpUnY1qAcQgvGQVDUHvoqsbD5cisTBXSQCoK6Gyq7m8QqdT9CLyLn5WSMKSoAxzvYnmsNjvwPrZuJg8coK5jCSUpmckYfAxVByGLB14HYC8gYoqodHWWq1JAwsR3iHbGyH7xERDGLTQFdFejHDqbhVuwqwNiAwf3RRFfr65QfnmhLmah9bZ2d9WhcN4QDsWsevxkQzwPgCTZQKfM1Q8SUYxu7M32YXifTR9MqFoB4dkrS2nUzvHxhxRXo3pxRtbMjRCkeZvsKjqGKLGU15s1u9pEavYMZp5gwjkn3ksgDUaFUtcA8ziC7PYTibk65HzNCZMdUHb19ykWNWqawqfqoQbogTgJy2YFLY5853bf9UtUEYsKATB8epEPVpVsvX66SKy8NkXCVycqsMp7HPrReJ3y1vboKP9WfYoGCVTkPy8rPvvpNtfyByvQ7C78yyCGCgT36Dj81j5TxXucXhnP7fTcKi8HPFMTSWJQrc2KJyNwCaowmaLzHsRpoU31MohQ9EeubaRHUH5DfUDguZskvyLkaXYmhNjF74Xg2GwLVd9enT1DQcAn7ntCJdmcHEaCU6eijwWx8cyWAfn3pkPD77UMww7txcRSuzshJoHehVe22pM4CkrnoxXHskv1L4wjYjPd2RaPLoctkYN5ztAyE1N5erhniFug8rQtr4FAqYgSiTmgVB5T6Zo7FLUGeFjbTeRwwuUz4zhXyVFWvzQabZnMUg9djHbVeFYa4gHcJ6dJpUDbXwLxrpWkhXjRJGGCXLhTRJcse8mG5taxrPFMMZbqbPSqcgoJyhoMFRrUEDNVHNyWPD87xtpfynnFdjch4EBLbSx7VX7VaU4PnRNxkTiga3ZE17jT3KhK2eGZJRTAQFEYeu8GdMVVFrk2pgKaGYidYGoD2fiyAtEaanNpk3DBmcMHuYv9HphXzc4PMXwHTGBW729hZPZW6bCnqQXFwMmzZRCon7R5V7A3vdXWpjXVmAe3DttL6weuCr3s8KMkwTj1ntKYE4fUJ1xW3BWyEpgG2YKrkGGnbyK8Ar6q955BAxUDnGvcdKQtLfoYHb34bcHpgoMP5Q9vkqv5j3ryZBktdzdBMBP1RGQqUQnohyzGWRh3eZAgcjSv8NMv16UbYyRQaTFytNPeAriJ33EWSPZJtAb6NxibZxwrQeDzdjaSTNxWSngoXgBeeqET5753AzfwDsLVLHzYSzeHTTp62w1aYB8zcknohQWU23EZFjP7jdhScx8tJcPhc6Xg3catSEVdsxNvJmumBPpos9EaHu9Dt1wok74NvmUd6t6hiGZ8tyHNLoQZqswuu3H8jHVqyyxBT8qEfxcw47qKkW1w7ButmWKxi7E5WEuq6nJcP4qNU5ZFDsTBYT4Vswg8fRZ6aSC1F84H7wnWCBkQdXLULxS",
"assets": [
{
"tokenId": "7ee7f834403ddae04f6e547f97b6c713033d4676667be490121dc659f5230542",
"index": 0,
"amount": 1,
"name": "DevDAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a650291cd343d511a435b8720476736fcaf3e6c87f977b4e8123bcff666543be",
"index": 1,
"amount": 1,
"name": "Ergo DevDAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d09ef4999e65000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739220486056,0,0,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "b77edf265ecbbfa145c6ca2ec1e7bd7d197ddfb9964e50e1989817d08d1e36b5",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5115d96676cf8bead4c6a91614957d3722796ea67690a1f7954d8499b608b587",
"outputTransactionId": "c83eefcb05036e003ed760d8d837628e5f06b22a85b2d5cd6e99c884181b4362",
"outputIndex": 4,
"outputGlobalIndex": 46023402,
"outputCreatedAt": 1451532,
"outputSettledAt": 1451534,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(126,-119,-126,-122,21,45,53,37,-18,-76,-34,-118,29,-125,58,61,92,-95,-6,120,-71,10,-24,61,-102,15,4,-63,66,31,66,-68)\n1: Coll(126,-25,-8,52,64,61,-38,-32,79,110,84,127,-105,-74,-57,19,3,61,70,118,102,123,-28,-112,18,29,-58,89,-11,35,5,66)",
"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) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.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(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.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, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "40237cc0afc4dbbe87354b31ded91a31d19d7aafe96a57bfaa5c4bc7d6749a62",
"value": 7093859814,
"index": 2,
"spendingProof": "8d827fcd3450ebd10e02d131f442fef3cff0f123731d9326a0958f1821f990c9a83cf6634e85e6c449d77902172478aee73d379fe17dc507",
"outputBlockId": "511dfe17d99cd7b3df7b564a392f2cd3c07ae726149215b6eb08f8d0b40f9611",
"outputTransactionId": "d7f28e5d85a49e2db73caf087992b44d2769ff922b7d4fd5bed50823b28718f9",
"outputIndex": 3,
"outputGlobalIndex": 46023058,
"outputCreatedAt": 1451531,
"outputSettledAt": 1451533,
"ergoTree": "0008cd028c945947b43157d9006ba85e05cddea5b527a9af821eacb2eb9e8fc55af6fd36",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8c9459,aa05aa,...)))}",
"address": "9fayRrb8wGmJcCHMg1phwzCTaLf3sZAX7BiJrQhPFUAshceX71u",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 190592000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "c0d9e581c1099455f13b82e13a1c20c7308a736cf63acc1025ae1e17a58a72c9",
"index": 1,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 2,
"amount": 13867615000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "34d449dc84a27d0f8fb2166d415a7223604f6426fb2d83ee099f2312182d575d",
"index": 3,
"amount": 48860790054209,
"name": "PHP",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 4,
"amount": 25000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "a650291cd343d511a435b8720476736fcaf3e6c87f977b4e8123bcff666543be",
"index": 5,
"amount": 999,
"name": "Ergo DevDAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3503ba6ce5d8bc1332229284c95fff15cf3c1d0b463fdfd6f3c9b57b7af09fe3",
"index": 6,
"amount": 1,
"name": "Good Things DAO Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d577aa18ae22a1667f5509796de26b64bc4964407db10e80ee2d1b05f2bdf091",
"index": 7,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "7de36a93ca6c228bfd697de21ee99ca785571752c04bcb9b3d366d63983e067c",
"value": 1000000000,
"index": 0,
"outputBlockId": "5115d96676cf8bead4c6a91614957d3722796ea67690a1f7954d8499b608b587",
"outputTransactionId": "c83eefcb05036e003ed760d8d837628e5f06b22a85b2d5cd6e99c884181b4362",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6494292909325aa7155ea9309605bb03c6f9d17521128cb49f4c1109d54b50719b06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "78536c91936601d39ac8b9f263c6f528993bc41fa5a19539d38c5fd426d57f0d",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 1000000000,
"index": 0,
"globalIndex": 46039455,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(126,-119,-126,-122,21,45,53,37,-18,-76,-34,-118,29,-125,58,61,92,-95,-6,120,-71,10,-24,61,-102,15,4,-63,66,31,66,-68)",
"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": "7ee7f834403ddae04f6e547f97b6c713033d4676667be490121dc659f5230542",
"index": 0,
"amount": 1,
"name": "DevDAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a650291cd343d511a435b8720476736fcaf3e6c87f977b4e8123bcff666543be",
"index": 1,
"amount": 2,
"name": "Ergo DevDAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d09ef4999e65020200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1739220486056,1,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c640210a9479300a452f44b4caf8113edea9e14c7195d9fc4ca109b339025545fc387010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "9c65175d580eea92541e4830f8e7101d91223910078e88cbe516a904087b9ed7",
"mainChain": true
},
{
"boxId": "a8e1d3a35984c4f97768a5143fd675298f00099a9c76b38e028a758bd62158e1",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 1000000,
"index": 1,
"globalIndex": 46039456,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(126,-119,-126,-122,21,45,53,37,-18,-76,-34,-118,29,-125,58,61,92,-95,-6,120,-71,10,-24,61,-102,15,4,-63,66,31,66,-68)\n1: Coll(126,-25,-8,52,64,61,-38,-32,79,110,84,127,-105,-74,-57,19,3,61,70,118,102,123,-28,-112,18,29,-58,89,-11,35,5,66)",
"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) => box9.R5[Coll[Long]].get(4) }\n val func10 = {(box10: Box) =>\n val coll12 = box10.R5[Coll[Long]].get\n coll12.slice(5, coll12.size)\n }\n val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n val coll14 = INPUTS(0).id\n val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple16 = coll15(0)\n val coll17 = tuple16._2\n val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n val func19 = {(box19: Box) => box19.tokens(1) }\n val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n val func22 = {(box22: Box) => box22.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(box4), func9(\n box3\n ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n )\n ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n })\n }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n coll15, getVar[Coll[Byte]](2.toByte).get\n ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n val i27 = i25 * 8\n byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n }(\n (\n OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n {(box23: Box) => box23.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, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "9c65175d580eea92541e4830f8e7101d91223910078e88cbe516a904087b9ed7",
"mainChain": true
},
{
"boxId": "a984c897b18478ccdc0b5ad12a9e64fffb0e8581bae65ee839d28f583e16636e",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 1000000,
"index": 2,
"globalIndex": 46039457,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"ergoTree": "0008cd028c945947b43157d9006ba85e05cddea5b527a9af821eacb2eb9e8fc55af6fd36",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8c9459,aa05aa,...)))}",
"address": "9fayRrb8wGmJcCHMg1phwzCTaLf3sZAX7BiJrQhPFUAshceX71u",
"assets": [
{
"tokenId": "7bf16bf22db6048fd2730f6de921ea71a312c3962850e6b54f86615264086112",
"index": 0,
"amount": 1,
"name": "DevDAO Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1144657644414f204d656d62657273686970",
"sigmaType": "Coll[SByte]",
"renderedValue": "44657644414f204d656d62657273686970"
},
"R5": {
"serializedValue": "0e3444657644414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
"sigmaType": "Coll[SByte]",
"renderedValue": "44657644414f202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "d03b204b3e6c4512ea54e6412f3581e64c1ebff57b0cfbab62a773f276d2c6c0",
"mainChain": true
},
{
"boxId": "0cc30cd0bb0663eec5557038498932412562938316844c30d41dfd382a9cdfb5",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 50000000,
"index": 3,
"globalIndex": 46039458,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "32783c40768092b2daaf57b1c3ef71128e85f527fbfbcbbde25849d101adc75d",
"mainChain": true
},
{
"boxId": "1857f63748e7646c6e284df8b94ab953ce917e493c144298164d9c23202b9f87",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 2350000,
"index": 4,
"globalIndex": 46039459,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"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": "e2a81a43601cd4f529909047fe9b5376dee1ce321ebcfe7d46be64b4ee5efd49",
"mainChain": true
},
{
"boxId": "eb69701eb5bc8d63f751ec17e9359a5d3231cc702343d71032678ca31c0aa768",
"transactionId": "f8446481878ccf96b2f91cd6b0f1ebdedfc8bc00f99cfe9efcccba8ed76254b6",
"blockId": "94eab6927b355cad0624a8565e6e74c9678d230a1baf0e42eeab611c8cd3c0d5",
"value": 7040509814,
"index": 5,
"globalIndex": 46039460,
"creationHeight": 1452180,
"settlementHeight": 1452182,
"ergoTree": "0008cd028c945947b43157d9006ba85e05cddea5b527a9af821eacb2eb9e8fc55af6fd36",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8c9459,aa05aa,...)))}",
"address": "9fayRrb8wGmJcCHMg1phwzCTaLf3sZAX7BiJrQhPFUAshceX71u",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 190592000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "c0d9e581c1099455f13b82e13a1c20c7308a736cf63acc1025ae1e17a58a72c9",
"index": 1,
"amount": 1,
"name": "Sigmanauts Mining DAO Membership",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fcfca7654fb0da57ecf9a3f489bcbeb1d43b56dce7e73b352f7bc6f2561d2a1b",
"index": 2,
"amount": 13867615000,
"name": "ErgOne",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "34d449dc84a27d0f8fb2166d415a7223604f6426fb2d83ee099f2312182d575d",
"index": 3,
"amount": 48860790054209,
"name": "PHP",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 4,
"amount": 25000000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "a650291cd343d511a435b8720476736fcaf3e6c87f977b4e8123bcff666543be",
"index": 5,
"amount": 998,
"name": "Ergo DevDAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3503ba6ce5d8bc1332229284c95fff15cf3c1d0b463fdfd6f3c9b57b7af09fe3",
"index": 6,
"amount": 1,
"name": "Good Things DAO Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d577aa18ae22a1667f5509796de26b64bc4964407db10e80ee2d1b05f2bdf091",
"index": 7,
"amount": 1,
"name": "Sigmanauts Membership",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "54d8f2126aaa883f60f1376117b758aec0ed8e4a00c8987a5ea0575aceac0b38",
"mainChain": true
}
],
"size": 4728,
"isUnconfirmed": false
}