Transaction
ID: 17684ea623...3597
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000,000.01
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0302018 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
100
1,000,000.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0291018 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 171,892
Total coins transferred: 0.0312018 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000365 ERG
Raw Transaction Data
{
"id": "17684ea62324b66eae7c1d8d4256bc488d0a217a7ad2dafaf9729a2e0f283597",
"blockId": "5347e8bd9853b4bededce96acc11cf71f08003ba2899f3d012f9f0c4643bf3a7",
"inclusionHeight": 1602468,
"timestamp": 1756640956366,
"index": 13,
"globalIndex": 9420020,
"numConfirmations": 171892,
"inputs": [
{
"boxId": "812b42b0a399e4ef6ae46c9a819eb4be34728e78e209fc7548584b9460d0f0f1",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a014f05ef22b62de20b6a86ef02845ff8ae226cc6a422bd0d92f634bd581835f",
"outputTransactionId": "88e62b557149c8367d2c9c2b73a275b16b0deb3a94e73b90baea5ac51a7af0c1",
"outputIndex": 0,
"outputGlobalIndex": 49729305,
"outputCreatedAt": 1602464,
"outputSettledAt": 1602467,
"ergoTree": "1966040400040004000e20c0e4833a3159c844ac22832d80490d333f189c000e20c0425f059c3c8da5c92bd803d601b2db6308a7730000d602b2a5730100d603b2db63087202730200d196830201ed938c7201018c720301938c7201028c720302937303cbc27202",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-64,-28,-125,58,49,89,-56,68,-84,34,-125,45,-128,73,13,51,63,24,-100,0,14,32,-64,66,95,5,-100,60,-115,-91,-55,43)",
"ergoTreeScript": "{\n val tuple1 = SELF.tokens(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val tuple3 = box2.tokens(placeholder[Int](2))\n sigmaProp(allOf(Coll[Boolean]((tuple1._1 == tuple3._1) && (tuple1._2 == tuple3._2), placeholder[Coll[Byte]](3) == blake2b256(box2.propositionBytes))))\n}",
"address": "PmKooeDy1PYrXQZDKqSSsEfDkXRmp8jnGyngf6VcpzTWA4oHLDeVAVY7c28ScqZQHU82j6ywNFuQEME8s6rYoMvqu4A757c27JPuQs91zFkxXz2nHUGUEDu8ZT8PUPH4M6G5mZnqD1ULfiiXVdxG",
"assets": [
{
"tokenId": "4e20ca99856218cb9ee159b76d041ca9bfac3939a576ea1063fd31ac2fe9dd53",
"index": 0,
"amount": 100000001,
"name": "Test withdraw APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e115465737420776974686472617720415054",
"sigmaType": "Coll[SByte]",
"renderedValue": "5465737420776974686472617720415054"
},
"R5": {
"serializedValue": "0e8a0154656d706f72616c2d66756e64696e6720546f6b656e20666f722074686520546573742077697468647261772070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e2042656e65206f6e63652074686520646561646c696e6520686173207061737365642e",
"sigmaType": "Coll[SByte]",
"renderedValue": "54656d706f72616c2d66756e64696e6720546f6b656e20666f722074686520546573742077697468647261772070726f6a6563742e20506c656173652c2065786368616e6765207468652041505420666f72207468652070726f6a65637420746f6b656e206f6e2042656e65206f6e63652074686520646561646c696e6520686173207061737365642e"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
}
}
},
{
"boxId": "10f5316075c1b6875d2b6ebbb5446ad9156795cd5e98d30ecfde0119a9d5ae97",
"value": 30201800,
"index": 1,
"spendingProof": "011a3a7ebd678d71e07e2fd73ab33d6458823065ebe5ab96a584c0daec4ccec73ef5e93c1be81291b181f0ac87b71f940edbd5a17923e3b6",
"outputBlockId": "a014f05ef22b62de20b6a86ef02845ff8ae226cc6a422bd0d92f634bd581835f",
"outputTransactionId": "88e62b557149c8367d2c9c2b73a275b16b0deb3a94e73b90baea5ac51a7af0c1",
"outputIndex": 2,
"outputGlobalIndex": 49729307,
"outputCreatedAt": 1602464,
"outputSettledAt": 1602467,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 96971100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 1,
"amount": 999899894500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 2,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 3,
"amount": 99981000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 4,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 5,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 6,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 7,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d7f1d5f50eb281fe98aafeb6e555eb84ac8c944718aec708eb1c16cf8792f260",
"transactionId": "17684ea62324b66eae7c1d8d4256bc488d0a217a7ad2dafaf9729a2e0f283597",
"blockId": "5347e8bd9853b4bededce96acc11cf71f08003ba2899f3d012f9f0c4643bf3a7",
"value": 1000000,
"index": 0,
"globalIndex": 49729346,
"creationHeight": 1602466,
"settlementHeight": 1602468,
"ergoTree": "199a0b480402040205000e2074b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a040004000400040004020404040204040406040204020404040404020500040205000402040205000402040004020404040004000500040004000400050004000400040204fe010406040408cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b704020404040005c80104c0a386010500040205000402010104020e20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71040404040406050005000400040005000e2012f44e2cc16cedc1c94f91beca32d61a07e3c8118577041dd59afc6b1604a337040004000500050004020100040205000500d837d601db6308a7d602b17201d6039372027300d604e4c6a70711d6059593b2720473010073028300027303d60693b172057304d607b27201730500d608b2a5730600d609db63087208d60ab27209730700d60be4c6a70404d60ce4c6a70505d60d93c2a7c27208d60eededededededed938c7207018c720a0193720be4c67208040493720ce4c672080505937204e4c67208071193e4c6a7080ee4c67208080e93e4c6a7090ee4c67208090e720d957206d801d60eb17209ec93720e730893720e7309d801d60eb17209ecec93720e730a93720e730b93720e730cd60fe4c6a70611d610b2720f730d00d611e4c672080611d612b27211730e00d6139372107212d614b2720f730f00d615b27211731000d6169372147215d61793b172097311d6189395720373128cb272017313000295721773148cb2720973150002d6198c720702d61a8c720a02d61b997219721ad61cdad9011c63d802d61edb6308721cd61fe4c6721c06119a9a999593b1721e731673178cb2721e73180002b2721f731900b2721f731a00b2721f731b0001a7d61dd9011d63957206c1721dd801d61fb5db6308721dd9011f4d0e938c721f0172059591b1721f731c8cb2721f731d0002731ed61eda721d017208d61fda721d01a7d620b27204731f00d621b27211732000d622b2720f732100d6239972217222d6249372227221d62599721a7219d6269972127210d627c1a7d628c17208d62995720695720d9972277228722799721f95720d721e7322d62a937219721ad62b927222720cd62cd9012c4463d802d62ec28c722c02d62fd08c722c0195937eb2722e73230004732493722e722fd801d630b1722e93b4722f7325b1722fb4722e959172307326732773287230d62d7329d62eb2a5732a00d62fda722c018602722d722ed630b2a5732b00d6319d9c72297e732c05732dd6329972297231d6339572069972327e732e057232d6349372277228d63596830601720e7224721372167234722ad63699957217732f8cb272097330000295720373318cb2720173320002d637f07236d1eded9572037333938cb27201733400017335957206ec72039372027336ecec720393720273379372027338978306019683040196830401720e72137216721890721b721c9399721e721f9c721b72209683020193721b722391722373399683040196830401720e722472167218ed91a3720b8f7222720c968302019372257226917226733a9399721f721e9c722572209683050196830601ec720eed9572069372297227937229721f7203722472137216722a7218722b722f9683020195720693c172307231d801d638b5db63087230d901384d0e938c7238017205939591b17238733b8cb27238733c0002733d723193733ecbc2723095720693c1722e7233d801d638b5db6308722ed901384d0e938c7238017205939591b17238733f8cb272387340000273417233968304017235722f8f72367342907237721c9593b1a473437344968303017235da722c018602722db2a473450091723673469683040196830401ec720eed72347203722472137234722b93722599721572149683020193722572379172257347",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: Coll(116,-75,35,-42,3,97,-24,44,66,18,-126,-125,-107,122,-20,126,1,-2,95,-26,-30,-101,101,70,100,93,63,126,22,-77,-71,42)\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 1\n15: 2\n16: 2\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 0\n26: 1\n27: 2\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 0\n34: 0\n35: 0\n36: 0\n37: 1\n38: 127\n39: 3\n40: 2\n41: SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))\n42: 1\n43: 2\n44: 0\n45: 100\n46: 1100000\n47: 0\n48: 1\n49: 0\n50: 1\n51: true\n52: 1\n53: Coll(-86,89,37,58,10,-99,117,-42,88,-18,-57,-82,-38,-112,-13,80,103,91,46,30,-52,-2,-18,-47,126,83,-128,-10,25,96,60,113)\n54: 2\n55: 2\n56: 3\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n63: 0\n64: 0\n65: 0\n66: 0\n67: 1\n68: false\n69: 1\n70: 0\n71: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = SELF.R7[Coll[Long]].get\n val coll5 = if (coll4(placeholder[Int](1)) == placeholder[Long](2)) { Coll[Byte]() } else { placeholder[Coll[Byte]](3) }\n val bool6 = coll5.size == placeholder[Int](4)\n val tuple7 = coll1(placeholder[Int](5))\n val box8 = OUTPUTS(placeholder[Int](6))\n val coll9 = box8.tokens\n val tuple10 = coll9(placeholder[Int](7))\n val i11 = SELF.R4[Int].get\n val l12 = SELF.R5[Long].get\n val bool13 = SELF.propositionBytes == box8.propositionBytes\n val bool14 = (\n (\n (\n ((((tuple7._1 == tuple10._1) && (i11 == box8.R4[Int].get)) && (l12 == box8.R5[Long].get)) && (coll4 == box8.R7[Coll[Long]].get)) && (\n SELF.R8[Coll[Byte]].get == box8.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box8.R9[Coll[Byte]].get)\n ) && bool13\n ) && if (bool6) {(\n val i14 = coll9.size\n (i14 == placeholder[Int](8)) || (i14 == placeholder[Int](9))\n )} else {(\n val i14 = coll9.size\n ((i14 == placeholder[Int](10)) || (i14 == placeholder[Int](11))) || (i14 == placeholder[Int](12))\n )}\n val coll15 = SELF.R6[Coll[Long]].get\n val l16 = coll15(placeholder[Int](13))\n val coll17 = box8.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val bool19 = l16 == l18\n val l20 = coll15(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\n val bool22 = l20 == l21\n val bool23 = coll9.size == placeholder[Int](17)\n val bool24 = if (bool3) { placeholder[Long](18) } else { coll1(placeholder[Int](19))._2 } == if (bool23) { placeholder[Long](20) } else {\n coll9(placeholder[Int](21))._2\n }\n val l25 = tuple7._2\n val l26 = tuple10._2\n val l27 = l25 - l26\n val l28 = {(box28: Box) =>\n val coll30 = box28.tokens\n val coll31 = box28.R6[Coll[Long]].get\n if (coll30.size == placeholder[Int](22)) { placeholder[Long](23) } else { coll30(placeholder[Int](24))._2 } - coll31(placeholder[Int](25)) + coll31(\n placeholder[Int](26)\n ) + coll31(placeholder[Int](27))\n }(SELF)\n val func29 = {(box29: Box) => if (bool6) { box29.value } else {(\n val coll31 = box29.tokens.filter({(tuple31: (Coll[Byte], Long)) => tuple31._1 == coll5 })\n if (coll31.size > placeholder[Int](28)) { coll31(placeholder[Int](29))._2 } else { placeholder[Long](30) }\n )} }\n val l30 = func29(box8)\n val l31 = func29(SELF)\n val l32 = coll4(placeholder[Int](31))\n val l33 = coll17(placeholder[Int](32))\n val l34 = coll15(placeholder[Int](33))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l26 - l25\n val l38 = l18 - l16\n val l39 = SELF.value\n val l40 = box8.value\n val l41 = if (bool6) { if (bool13) { l39 - l40 } else { l39 } } else { l31 - if (bool13) { l30 } else { placeholder[Long](34) } }\n val bool42 = l25 == l26\n val bool43 = l34 >= l12\n val func44 = {(tuple44: (SigmaProp, Box)) =>\n val coll46 = tuple44._2.propositionBytes\n val coll47 = tuple44._1.propBytes\n if (coll46(placeholder[Int](35)).toInt == placeholder[Int](36)) { coll46 == coll47 } else {(\n val i48 = coll46.size\n coll47.slice(placeholder[Int](37), coll47.size) == coll46.slice(\n if (i48 > placeholder[Int](38)) { placeholder[Int](39) } else { placeholder[Int](40) }, i48\n )\n )}\n }\n val prop45 = placeholder[SigmaProp](41)\n val box46 = OUTPUTS(placeholder[Int](42))\n val bool47 = func44((prop45, box46))\n val box48 = OUTPUTS(placeholder[Int](43))\n val l49 = l41 * placeholder[Int](44).toLong / placeholder[Long](45)\n val l50 = l41 - l49\n val l51 = if (bool6) { l50 - placeholder[Int](46).toLong } else { l50 }\n val bool52 = l39 == l40\n val bool53 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool52, bool42))\n val l54 = if (bool23) { placeholder[Long](47) } else { coll9(placeholder[Int](48))._2 } - if (bool3) { placeholder[Long](49) } else {\n coll1(placeholder[Int](50))._2\n }\n val l55 = !l54\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](51) } else { coll1(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](54))\n } else { (bool3 || (i2 == placeholder[Int](55))) || (i2 == placeholder[Int](56)) }\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool24)), l27 <= l28, l30 - l31 == l27 * l32, allOf(\n Coll[Boolean](l27 == l35, l35 > placeholder[Long](57))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool22, bool24)), (HEIGHT > i11) && (l34 < l12), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](58))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (if (bool6) { l41 == l39 } else { l41 == l31 } && bool3), bool36, bool19, bool22, bool42, bool24)\n ), bool43, bool47, allOf(Coll[Boolean](if (bool6) { box48.value == l49 } else {(\n val coll56 = box48.tokens.filter({(tuple56: (Coll[Byte], Long)) => tuple56._1 == coll5 })\n if (coll56.size > placeholder[Int](59)) { coll56(placeholder[Int](60))._2 } else { placeholder[Long](61) } == l49\n )}, placeholder[Coll[Byte]](62) == blake2b256(box48.propositionBytes))), if (bool6) { box46.value == l51 } else {(\n val coll56 = box46.tokens.filter({(tuple56: (Coll[Byte], Long)) => tuple56._1 == coll5 })\n if (coll56.size > placeholder[Int](63)) { coll56(placeholder[Int](64))._2 } else { placeholder[Long](65) } == l51\n )}\n )\n ), allOf(Coll[Boolean](bool53, bool47, l54 < placeholder[Long](66), l55 <= l28)), if (INPUTS.size == placeholder[Int](67)) {\n placeholder[Boolean](68)\n } else { allOf(Coll[Boolean](bool53, func44((prop45, INPUTS(placeholder[Int](69)))), l54 > placeholder[Long](70))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool52 && bool3), bool36, bool19, bool52)), bool43, l37 == l21 - l20, allOf(\n Coll[Boolean](l37 == l55, l37 > placeholder[Long](71))\n )\n )\n )\n )\n )\n )\n}",
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