Transaction
ID: 0361936fe2...e1e2
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003148462 ERG
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003148462 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 29,925
Total coins transferred: 0.004148462 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000277 ERG
Raw Transaction Data
{
"id": "0361936fe232743f4f277dd3b90e2884a303d2a46268cb14fd8975682809e1e2",
"blockId": "c05bed219837cc6cc0187cb37c403938203d8659d7058da4f21702c1062a6e21",
"inclusionHeight": 1746563,
"timestamp": 1774075026780,
"index": 2,
"globalIndex": 10477052,
"numConfirmations": 29925,
"inputs": [
{
"boxId": "44c56b1fed8b766166c7ad3915bcb265051e5f8b10996204a49d1a768ce83e81",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "60d5d02b2b12964e3a042da727775133857deb1e197530f0a875a55a21f5bcb1",
"outputTransactionId": "1932e802721bc1b2b8a8a84e2cc87e8b0af9e155e4e1a1c99153464e5460f84f",
"outputIndex": 0,
"outputGlobalIndex": 13701123,
"outputCreatedAt": 695363,
"outputSettledAt": 695365,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(17,-127,-58,4,92,-15,125,-34,117,-11,-3,27,33,-2,-34,-89,6,19,-36,-53,-103,-53,-67,-72,80,55,-84,-41,125,-34,-85,-74)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(-90,-87,43,-111,93,-8,123,-53,-81,31,81,16,-40,-98,-72,-95,-84,79,-18,-2,56,40,9,-9,59,-102,-14,4,-84,91,-31,109)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(39,45,-51,-118,22,64,113,-87,104,102,16,-14,69,65,-75,-78,-126,89,-87,98,-36,25,80,29,72,34,-91,10,82,126,-119,-99)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(21,38,81,17,125,-13,108,89,-96,126,-60,119,-62,-80,-65,-39,-82,-43,21,20,42,-127,14,80,-41,79,96,82,44,44,-56,124)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: false",
"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.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val l38 = coll32(placeholder[Int](75))\n val l39 = coll11(placeholder[Int](76))\n val tuple40 = coll24(placeholder[Int](77))\n val l41 = tuple40._2 - l35\n val bool42 = l41 == placeholder[Long](78)\n val coll43 = tuple40._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n placeholder[Long](84)\n } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n placeholder[Long](88)\n } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n 90\n )) {(\n val box44 = OUTPUTS(placeholder[Int](91))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](92))\n val tuple47 = coll45(placeholder[Int](93))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n Long\n ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "1670681d78c56d80e0bd67c5f5d792e618c570c4161cad15f6dbddc3f2eadea3",
"index": 0,
"amount": 1,
"name": "StakeTest3 Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3c1d053c4246a14cf93f6791120717076f14fd17fc4e823e4a13bad2527cc15f",
"index": 1,
"amount": 999999998,
"name": "StakeTest3 Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11059ea5fc5306049e9dfbb9e75f80bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[88049999,3,2,1645972776783,3600000]"
}
}
},
{
"boxId": "2d31c5c557ba5996d79cb6090689d114f255f17895437c452b9df85c33d226f7",
"value": 3148462,
"index": 1,
"spendingProof": "8bb827ff2a4ce25c848d4002987a746a92198d5a54da3ba1e7418850c6218449f993316236d70162e9e3b11fcdb6f1e3d005a2cb97663a81",
"outputBlockId": "4c4972bcde9c16ca20d0fbfa13a217bfdd308de0c00a34203e69e46b10e24685",
"outputTransactionId": "c22eba7118ed1b9a0b4ed92d1f7e1de0aed7716eec6f7a7c68ff438584359260",
"outputIndex": 0,
"outputGlobalIndex": 54237587,
"outputCreatedAt": 1745891,
"outputSettledAt": 1745892,
"ergoTree": "0008cd03d42ba1800ff470605f4af82fca6d848ce67d3e25c81ea6b5e2c5e306448e6240",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d42ba1,385869,...)))}",
"address": "9i5FJNkbtZH8kcS129ny71wVLBK7cKhJ7ixLpLTZoirjXRFhfvs",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "1545007094210a2f2d1e89ffb6d7259b31491139952c2a59f5e2b33ef75248e5",
"transactionId": "0361936fe232743f4f277dd3b90e2884a303d2a46268cb14fd8975682809e1e2",
"blockId": "c05bed219837cc6cc0187cb37c403938203d8659d7058da4f21702c1062a6e21",
"value": 3148462,
"index": 0,
"globalIndex": 54255730,
"creationHeight": 1746563,
"settlementHeight": 1746563,
"ergoTree": "0008cd03d42ba1800ff470605f4af82fca6d848ce67d3e25c81ea6b5e2c5e306448e6240",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d42ba1,385869,...)))}",
"address": "9i5FJNkbtZH8kcS129ny71wVLBK7cKhJ7ixLpLTZoirjXRFhfvs",
"assets": [
{
"tokenId": "3c1d053c4246a14cf93f6791120717076f14fd17fc4e823e4a13bad2527cc15f",
"index": 0,
"amount": 999999998,
"name": "StakeTest3 Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1670681d78c56d80e0bd67c5f5d792e618c570c4161cad15f6dbddc3f2eadea3",
"index": 1,
"amount": 1,
"name": "StakeTest3 Stake State",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "3d28637d762c07700b8430694e868ef82e4612f1c6f13bdc08b82477fbebc7d1",
"mainChain": true
},
{
"boxId": "a557ffbcfe59f221faaa6c496d915a34f06fb7bc294a3012667a8abf3750dfb5",
"transactionId": "0361936fe232743f4f277dd3b90e2884a303d2a46268cb14fd8975682809e1e2",
"blockId": "c05bed219837cc6cc0187cb37c403938203d8659d7058da4f21702c1062a6e21",
"value": 1000000,
"index": 1,
"globalIndex": 54255731,
"creationHeight": 1746563,
"settlementHeight": 1746563,
"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": "ee663099718fdb903f67baab32ac3b1510e4daa99f2af20b6e9fc297cd1ce9f8",
"mainChain": true
}
],
"size": 361,
"isUnconfirmed": false
}