Transaction
ID: c3fffb7331...aea4
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0179 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.811290623 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0179 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.810190623 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 922,450
Total coins transferred: 0.829190623 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000388 ERG
Raw Transaction Data
{
"id": "c3fffb7331fa9da24811799e40dc00078358fdfed9217b8e9007b59e5c56aea4",
"blockId": "b99e3116146f978d646d0dbf128958207b1c4998320bd4d966eac85799c0b592",
"inclusionHeight": 843644,
"timestamp": 1664038657827,
"index": 20,
"globalIndex": 4069143,
"numConfirmations": 922450,
"inputs": [
{
"boxId": "dce8458ae9bd42dd5bb73fa5af744a12abed352f8900d3189a636000dc331fab",
"value": 17900000,
"index": 0,
"spendingProof": "322f7ceb2d0790ea88bef24fa70f7a87ea1f3711e7f1e9be6715c61db15230920c657e61acf92fe94f6e5b60284cd14c0c0e091ba065a85e",
"outputBlockId": "627e5311d60628c31a35695092b4761a50224efb38d7945b7214fa0ad4484c81",
"outputTransactionId": "27c2ca4d4f141d1f6cd1e78c3bb9edcfdd3acced230947c221fade4190993dc2",
"outputIndex": 0,
"outputGlobalIndex": 21973513,
"outputCreatedAt": 843641,
"outputSettledAt": 843643,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\n61: 1\n62: 0\n63: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 0\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 1\n126: 5\n127: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && (l18 >= placeholder[Long](124))) { blake2b256(INPUTS(placeholder[Int](125)).propositionBytes) == coll5(placeholder[Int](126)) } else {\n placeholder[Boolean](127)\n }\n )\n}",
"address": "5nvSxnGT6FiXgorxmFx6c7Xmm2FwAqJzCwfeqWTpWdNbfm592PAVegYqk8pHQmisBMaQuc3dDrQP1GdxmBDGDqHWqP3JJbGmu9ubPZmXpBRx3AYJzSCi3hHjZX89UBMTyR9HbDqorC3hLcBtoxs7HL1HFQxb1nQUws6Xs9kgNNeqTFcKioahkNJYjhgzHbrx5yMWeAa3TKxt6h6djdyk46B4s8t7HeVStcmVJaxwE1e1qr5cXQ6VJdCXFF5Npy66EMcZMtc2LZdtFc9AHaEVSsPbyzBrdE67vSpzWrh9q5CUxrsp1x7tW6SxE8e5Qp5Pcb3TtPhvHxz52k6kV9jkgJ9os8if3EYiZaaYXu7Z8GN4PoW2xHAqg3mRraeonjMVcGd51xtGFDqMCurkLWHLFqZYkczCaixuPfQ5rXubK5Qbet1X5JydkPMn3wWbJFXGpZ2hW4x4ckWBqHCBXj2roAdLb47sTUVSkco2GJV7TQMkkuQkJRdZkRUeVFaHGzZ4sTSigT5fWruTojoWCwzmeM157KTVRtVHZeU6Uj1kL4wjoVjtrL5EgvghgbvqaAwfA1fuERYDF7Gd7dQd1be91AQSLreiXrvQbk5n4mhxyWsxbUevJmXKRawoyKwL32vfwyjAyKxPmUUu2D4sqw3qnJ3uKcnMfF85CZzNqWMGN4TgjGmfF634mVrtceg638HNqGGghMwskf76NuQuoEnM5oTMTWqzSceZhAfZJ9szH2T5bKNHQ1sUPB947fjfzp9JwdDp8yNrPDae4wcF97XbJ74curT9dyxYcjX2sV3PgiYzcjKcNYHxEiTn3cTudXTiWacaWnqeWJxn79HLzkamUKARuP5QZwvDW6AkzjkBSQ4HABufFdNLKeQhNfpP3Rnfh4uQfEjiTvg8BM2NyHiQP6qQNBW1fBebn4sg2rtdRPXP5swufLa9fq38z15ZMqp5SPn8NiQqaTv5Z7mtgGP21gEEXc1jHSf1zoXxFQeVZqWCkCEP9xz4vS43HuzVQDmpdP3h2t8hEXHxwNN4nQ8aJmS1HCJ5rwrNVHkUnNnjzt9U8Py7UPNG7Lozbw5EUiVnioH9ny3bWSUFDShBW3EF12uBkmXu7G3X5tWkCLfmUCRPXkuKFDibNB2gHFm836KSo2Bx4wsKpZyx8ACim3KGqbLyZLQsNasKsrF1qANJr6R7hUkMTz3TxPRv4bsNVD671DaBxPYXWuW96Ljihv8RCaEZyuXXaC7eCatHfnMVTH8GCncQ2gvSi4fcvxEze5VpF2PQPXa5ZK8Kqd9XzbdS8wJMjL59fHygaZvakhsXHoRQ53kze6hJwkStqw6nKDKH6tY5vCdZznN5gLTzgfj9CYkL26fcUUeZELmE1gtPW2DfqDAMu4pegqkhzR5922acb8Mnm6dT4bRRMG9r8BPnjphf5emXsqGSWQQiiAoDLkYA9VKrdoZAhncFyQyEVtLcvKV9Upop1DSNPPhWgoUcZDwg7oosUFMQvJp1xYRJZewARdnqhpzmBnP7zUrtzxUo3C6TkWG8VxM3pjTX7Wj7CPBfM3GvmqrEL6WHfdgAuoFC1RBwXnBHsMaspraSGtpLbWpLuErF7iLaA6icZ8o23hK7EhevtM3WYf7waSVjarj7ZF7oQL8U5CqZC3gUMPDHzvV3Vanh7BiCX2ufHsoo1PBmGKapDqe8gktu92HwgQngExUB4xEBjeM4985czRUhDNMq7PNYHCDKrf2K67ttNpgt8kP6fFzFaoFr11cR3SZTP72JTPqatMpkYAftF5QBDLQ1opDF2zVmK1BNpv48PcDaTMwQbHDxoGyzksKpLDhGztXY9cYP8Apq7rDWb2zSirnkPow7oAwq48Ynvt7fd88oKMJbqoJLUY843ghscrrM9HPtpFw7Lgi7tZ9iRHxEAcnjvASboQzggzPwiWNJ7ceMPJzkgezLtaYUCXeHXrL6qHsT3k7bQceikR3Q9McJ4k8v8z5V8e2wTRxcP8ENzVmBZWonKj3Nb7LR2rXmVQJhxGmuRx3gS4XeUXFMV8PP3mPhpDXiwdJfYSkbB2YpKa9HA8THtp33X8YKnwcmXb4tMtMzxhkPKaRt1y5JGkGWwDPwFxKdfSLjph24F2jDL1TSEFZx6CSQGzxZ6s8gMXNpaPz4HpDLDAoiATZLC8nYWe2UTBim7iYJQzXPaUSfmXJSbvqecf9r5PRFTHbusavmkv2YdyLw3A7budA7FFLtUHgh9i4TxTGcN9CFxNhW1BXRcGwCHJaBUCMEPP9y8ZUxgF6P3ndGrP6pq4skob4KU4iPTUhdeWfSqtTpYuJwS8yHUALNuR4pkWXEYm4EpkwAbLbQp9zrvjEfT8o1V8A6PETKLDcvyVXS8vMRAVKxpVsnks4N8CviCJD3UVfRkSEGH5Sb68WJgWeaSb9KxfZjKTrpnRdPyP6Mpyvt4BkioHhyB8wJ6D7uJsqNL6",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R9": {
"serializedValue": "056e",
"sigmaType": "SLong",
"renderedValue": "55"
},
"R4": {
"serializedValue": "0ed9017a65726f3a6433336130313a6135353136393a343a313a4d3137392e352c3134302e35513137332c3135362c3136392c313834513136352c3231322c3133382e352c323133513131322c3231342c39312c3230312e355137302c3138392c34362e352c3137325132332c3135352c32312e352c3132342e355132302c39342c34302c37325136302c35302c38392e352c36362e35513131392c38332c3134342e352c3535513137302c32372c3139302c34382e35513231302c37302c3139382c39372e35513138362c3132352c3137392e352c3134302e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7a65726f3a6433336130313a6135353136393a343a313a4d3137392e352c3134302e35513137332c3135362c3136392c313834513136352c3231322c3133382e352c323133513131322c3231342c39312c3230312e355137302c3138392c34362e352c3137325132332c3135352c32312e352c3132342e355132302c39342c34302c37325136302c35302c38392e352c36362e35513131392c38332c3134342e352c3535513137302c32372c3139302c34382e35513231302c37302c3139382c39372e35513138362c3132352c3137392e352c3134302e355a"
}
}
},
{
"boxId": "484e7b19d974a0bef34685dd6eec7c2387bdeb8a8e5d0cc9888fe692f7f764cf",
"value": 811290623,
"index": 1,
"spendingProof": "334a15d48a575e953cbd36b732cbd2e5bbaf72ed743e9433001dfff35aa6c5631a899159160984d5d5b127e6d583467e1bbfb24ee4f041aa",
"outputBlockId": "627e5311d60628c31a35695092b4761a50224efb38d7945b7214fa0ad4484c81",
"outputTransactionId": "27c2ca4d4f141d1f6cd1e78c3bb9edcfdd3acced230947c221fade4190993dc2",
"outputIndex": 1,
"outputGlobalIndex": 21973514,
"outputCreatedAt": 843641,
"outputSettledAt": 843643,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 21,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 9,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 2,
"amount": 1187,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 3,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "665e47bf28563943d79bcaf310533177410100c06f55730e302572c9759841e2",
"index": 4,
"amount": 2,
"name": "HeyHo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 5,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 6,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 7,
"amount": 2,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "74d7745b32e895008027a853ea7a6974ba3cbd1efa986537563c12d6ab22c506",
"index": 8,
"amount": 1100,
"name": "thisguyfucks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "a82790c2a81ada26138801a15a3597b6fd020f13ca60309a8f28ca70d9bf47c9",
"value": 1000000,
"index": 0,
"outputBlockId": "5cf689846e1bf38cbd9236a335284427c97843de688e78ac4f5c6db346256de6",
"outputTransactionId": "21880d3cdf9caa5951a2ef58ebb1ebaa236c8bb68b04567198ddcad7a1aa42b7",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c83380897a3c8084af5f040a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,5]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a0720703161ac50f1428687f24e4f31afdd9c4de07c5a0ea1937d23ed8f7436a11fa6202d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc20e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f208c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b597208cd99128a25de71bf3a34eb5e9099a2008f2ae56609cc88752135ec7cf5f116a20e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[703161ac50f1428687f24e4f31afdd9c4de07c5a0ea1937d23ed8f7436a11fa6,2d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,8c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b597,8cd99128a25de71bf3a34eb5e9099a2008f2ae56609cc88752135ec7cf5f116a,e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8]"
}
}
}
],
"outputs": [
{
"boxId": "5341ecdc1fa515d092f69316a1ffb2b2dec70276033726f29856aa772972a69d",
"transactionId": "c3fffb7331fa9da24811799e40dc00078358fdfed9217b8e9007b59e5c56aea4",
"blockId": "b99e3116146f978d646d0dbf128958207b1c4998320bd4d966eac85799c0b592",
"value": 17900000,
"index": 0,
"globalIndex": 21973658,
"creationHeight": 843642,
"settlementHeight": 843644,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\n61: 1\n62: 0\n63: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 0\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 1\n126: 5\n127: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && (l18 >= placeholder[Long](124))) { blake2b256(INPUTS(placeholder[Int](125)).propositionBytes) == coll5(placeholder[Int](126)) } else {\n placeholder[Boolean](127)\n }\n )\n}",
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"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "0"
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"renderedValue": "7a65726f3a6433336130313a6135353136393a343a313a4d3137392e352c3134302e35513137332c3135362c3136392c313834513136352c3231322c3133382e352c323133513131322c3231342c39312c3230312e355137302c3138392c34362e352c3137325132332c3135352c32312e352c3132342e355132302c39342c34302c37325136302c35302c38392e352c36362e35513131392c38332c3134342e352c3535513137302c32372c3139302c34382e35513231302c37302c3139382c39372e35513138362c3132352c3137392e352c3134302e355a"
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{
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{
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{
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{
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"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)}",
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"mainChain": true
}
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}