Transaction
ID: a61eda5d25...e23e
Inputs (13)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.223985898 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.69
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.016 ERG
Tokens:
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.251985898 ERG
Tokens:
6,105.60
510.40
610.50
64.20
1,575.73
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 48,105
Total coins transferred: 0.269085898 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000056 ERG
Raw Transaction Data
{
"id": "a61eda5d25b36f3d4410b3eb6fbd78fb0b80d7dc08ea01596fc0eafa33d3e23e",
"blockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"inclusionHeight": 1716748,
"timestamp": 1770463869720,
"index": 16,
"globalIndex": 10266676,
"numConfirmations": 48105,
"inputs": [
{
"boxId": "79e1e3585ba75fce061a51e33b11f0eaa321a7b4646636509fa8f66405fa7864",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"outputTransactionId": "644b92d1d277b2be09879b16822a8659df8fe0c7384373fd0149f7003ead7b22",
"outputIndex": 0,
"outputGlobalIndex": 53442206,
"outputCreatedAt": 1716746,
"outputSettledAt": 1716748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(86,-101,29,-7,120,-75,-75,118,25,-84,13,30,-21,40,21,42,10,-76,-55,6,-39,125,-63,34,11,-14,-88,56,-30,55,5,-107)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(-22,-25,113,104,84,-107,20,-21,8,-29,104,87,-76,-78,106,-97,-23,-16,49,4,-18,-42,-60,50,-28,-56,51,30,-90,62,14,-108)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-85,-24,57,-48,-56,116,55,109,-125,23,56,30,-87,-118,11,-97,33,-90,-13,-32,-3,-21,18,-86,105,35,110,-92,60,72,-5,-70)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
"address": "NY4PEzZ7VfjrYW3jnuz2mPwr5M9k3deBwdc8UnAv6JETTQMUYMZnWJ3cCFYPTBt8xToufqWUWoC3NUdJ3tEsgkv1Gn9in2YmLbYwMiB5BYRVyKyP6MgGbJn4zDp71X1RzMB8V2VCSFjdrtNCPmddPGrriyExYbbV3fgQwR3E6QvtyKRnVLRj678NxEnhCcfz9C4q9KU4DKSgF9bHaT6sYdwSSxYpoedGmSHHu3Zediy2BDGnhS1Haeb17rNerVs2bhYPFWDbcxQwoFSws2pWWHqyupFaiYWPtKrkScGdkNXiXXeorGwrSubQp2DcDtVAzq6kNfYpZZCTpT3mqB1kYmoZ6X6pLZoQtx6rbEbYKqYXcir5GgPp7hkR8fgQQRS2gotb38UpFcz95VLFU9Wi3rtS7xcmn6YrDSq2Nq8u1t1tihm4MALBxt5oeXXsBjCTjzpXBJKbuKaRPwHpVByBzt3jWUExsaaFJSARWDB7UaYmFW31XKTv7WQbd84QgNiuhsefYrm89e721mRWVdnVaru7kyuAvdRw79Kvgi83WjzD88K3cQyXKruyH2tZ7YKdgJkWeHiN85KxJXximwV1BJdeJGsGg5CXRfCJPsi41v2fw9F7nr75hycfa11yFrHpYmSHSCnfapMrKcH2ALH93yPymVwZPkn11UbDsUodhvjTRBcu2SWVjFqjFUSkpyhc3XLXWEBY6sEEDi5FJL8LU6DLpnuYgW94L8isvUWF5Ayrnxtx6YQErW2D7VbghNBU3GRHoADPQ1GmLi4CTRNfkv7FewrJCY6NTGzNZHTUUjEhnu5GsfWRyGTobmE1n6JbkyA1iT4K3X45HjMkFFd3H2fpW6wj5YD4TcMHXDBwcg5cLaWREWDAi9PhCndnuHMWadTNVCTfD8CSaNh58q8zXQLYwDFCtF1QEtqqu5u26G5wA8FBJT5bwDnKPtb5TsTFJBHyH9NXxqxPFp6fvj87N1GpKiDYedZ1dQvGS5yrrWRp89r2FFAf5664iMz2YYAExrkNb55HyTaTnQtXaudHChb2KtLYaH4GjaN3S1SUvDxgGXyaBP7cemrGmWuj9r2Uzzdk2ZPvjtXmMRW6EB36n5zfgE8mBFVmRW2cGdDpK6PPm4YV1yFKeKoJZmWgnTXzke8GU9SJAoHUoR2j98vKV1RiNXpXZro6nQijxkkoqdkvE2W2bFQfyCmeVnzS1u2TBEaV1hCyA9fQh5qv5NYjPz4skX9nC6",
"assets": [
{
"tokenId": "ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-Pandora",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 1,
"amount": 999999923996,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 2,
"amount": 76005,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "fb2a47295e30289f3748eb35a325c11db5202b7420ee9588c67f7486de2662db",
"index": 3,
"amount": 1989,
"name": "RosenErgoAWC-Pandora",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "0516",
"sigmaType": "SLong",
"renderedValue": "11"
}
}
},
{
"boxId": "bab4ff567ac4d89040b446197683a87da075f32d7a2fc0e363854125eb0ddb46",
"value": 10000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "91ffb7380b8155bebbc9a930b788b014fb56bce08299cbbf8f26a4e0f7891857",
"outputTransactionId": "982ff34b8d5bdc541478bb9c8eb30cdab53ad49a1da7fe898e46d651aa7ee749",
"outputIndex": 1,
"outputGlobalIndex": 52909786,
"outputCreatedAt": 1697752,
"outputSettledAt": 1697757,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "fb2a47295e30289f3748eb35a325c11db5202b7420ee9588c67f7486de2662db",
"index": 0,
"amount": 1,
"name": "RosenErgoAWC-Pandora",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 1,
"amount": 1000,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"sigmaType": "Coll[SByte]",
"renderedValue": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208"
},
"R5": {
"serializedValue": "05a01f",
"sigmaType": "SLong",
"renderedValue": "2000"
}
}
},
{
"boxId": "64dd54854ffbf7c0e39e5dd6a2c9ba8e530a2e1255cb02f69f5aa9c9a442fd34",
"value": 223985898,
"index": 2,
"spendingProof": "2f010488d435872788547adbe14ebd2294bcb02bafbaddd3e89d822c97097e5e174afae1e4bbbbb850a01c6c05b6c3c3defdb521fa69342a",
"outputBlockId": "6b7492253e84be001c922753bd41fb0fe025aec227769e933989b6cdcb27eccd",
"outputTransactionId": "38a68c9b9549a165c40ab1adebfc27a9cd75a2dd46273dd3828029e09a8e5faa",
"outputIndex": 2,
"outputGlobalIndex": 53384835,
"outputCreatedAt": 1714653,
"outputSettledAt": 1714654,
"ergoTree": "0008cd03311b1887498519000c8d158b85ffcf542346fd063d46b8e1f2ee46fd3ae3cfd7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(311b18,d35625,...)))}",
"address": "9gqS2wc1vLAAWBciAbUL5wuMntAu9hFKz1vXwbiPtY8qa6DXrqd",
"assets": [
{
"tokenId": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"index": 0,
"amount": 3,
"name": "WID-ce208-a6DXrqd",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
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"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "0516",
"sigmaType": "SLong",
"renderedValue": "11"
}
},
"spentTransactionId": "a56b890172ccdd9ec655f067e30e05d1d6bd410b43b8ba1d5cc4559aad248290",
"mainChain": true
},
{
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"transactionId": "a61eda5d25b36f3d4410b3eb6fbd78fb0b80d7dc08ea01596fc0eafa33d3e23e",
"blockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"value": 10000000,
"index": 1,
"globalIndex": 53442244,
"creationHeight": 1716747,
"settlementHeight": 1716748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "RosenErgoAWC-Pandora",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"sigmaType": "Coll[SByte]",
"renderedValue": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208"
},
"R5": {
"serializedValue": "05e05d",
"sigmaType": "SLong",
"renderedValue": "6000"
}
},
"spentTransactionId": "c409a2a215df1f3e7e572e01122cbca3fad45b5fdd842958a4f150ff3dd127c4",
"mainChain": true
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{
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"value": 2000000,
"index": 2,
"globalIndex": 53442245,
"creationHeight": 1716747,
"settlementHeight": 1716748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 4000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"sigmaType": "Coll[SByte]",
"renderedValue": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "460cf2b5e7df89d1e1e7c1a528415503a5e631ef3ae894c4dc38dd51d8adeeb6",
"mainChain": true
},
{
"boxId": "a931dda4ed75c1187275bbeb490eadbfe5e67e13797bf3fe421c4e9d054593fc",
"transactionId": "a61eda5d25b36f3d4410b3eb6fbd78fb0b80d7dc08ea01596fc0eafa33d3e23e",
"blockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"value": 2000000,
"index": 3,
"globalIndex": 53442246,
"creationHeight": 1716747,
"settlementHeight": 1716748,
"ergoTree": "0008cd03311b1887498519000c8d158b85ffcf542346fd063d46b8e1f2ee46fd3ae3cfd7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(311b18,d35625,...)))}",
"address": "9gqS2wc1vLAAWBciAbUL5wuMntAu9hFKz1vXwbiPtY8qa6DXrqd",
"assets": [
{
"tokenId": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"index": 0,
"amount": 3,
"name": "WID-ce208-a6DXrqd",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "460cf2b5e7df89d1e1e7c1a528415503a5e631ef3ae894c4dc38dd51d8adeeb6",
"mainChain": true
},
{
"boxId": "3062746d85689e7c837e0bd986ada4a98871e58c9381e35de2688b5c1a8f8727",
"transactionId": "a61eda5d25b36f3d4410b3eb6fbd78fb0b80d7dc08ea01596fc0eafa33d3e23e",
"blockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"value": 251985898,
"index": 4,
"globalIndex": 53442247,
"creationHeight": 1716747,
"settlementHeight": 1716748,
"ergoTree": "0008cd03311b1887498519000c8d158b85ffcf542346fd063d46b8e1f2ee46fd3ae3cfd7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(311b18,d35625,...)))}",
"address": "9gqS2wc1vLAAWBciAbUL5wuMntAu9hFKz1vXwbiPtY8qa6DXrqd",
"assets": [
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 0,
"amount": 1575730,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 64199,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 2,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 3,
"amount": 5104,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 4,
"amount": 6105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "460cf2b5e7df89d1e1e7c1a528415503a5e631ef3ae894c4dc38dd51d8adeeb6",
"mainChain": true
},
{
"boxId": "a5d7c4d96dca6c328afae5713578e40fca09ec71f15b16bc3e5bd20a87299b13",
"transactionId": "a61eda5d25b36f3d4410b3eb6fbd78fb0b80d7dc08ea01596fc0eafa33d3e23e",
"blockId": "c804745d19747251cfc35935fc5758337bbbaddc6801a08b1ec4eaf8553e0032",
"value": 2000000,
"index": 5,
"globalIndex": 53442248,
"creationHeight": 1716747,
"settlementHeight": 1716748,
"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": "11d61f880393694060a0970c40855770d5e1afefeca19f008408a63fec71ab81",
"mainChain": true
}
],
"size": 3572,
"isUnconfirmed": false
}