Transaction
ID: 54847a8430...ab64
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.124905914 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.123805914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 171,393
Total coins transferred: 0.127905914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000294 ERG
Raw Transaction Data
{
"id": "54847a8430b5304cb0d45364eec22093e0f4fa369775471316cecde2df7eab64",
"blockId": "5dc590ddda149a8a043d5300a48c97da76cb3e4ea3d7d6e9586f31db5d5d0552",
"inclusionHeight": 1595573,
"timestamp": 1755802950833,
"index": 1,
"globalIndex": 9381995,
"numConfirmations": 171393,
"inputs": [
{
"boxId": "7f7122ed3afb53bdba1cd3c24957fae4ea614baba7493ba1976a8f895b36b7c5",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "52b8b636bf114f3d7321a9bce1952b888652d8381c1a99064c4b279c081f9c60",
"outputTransactionId": "1400748cbf03c255332f13bce1713212fd346f891e0db4f5e93ff0814786cc5c",
"outputIndex": 0,
"outputGlobalIndex": 49577787,
"outputCreatedAt": 1595446,
"outputSettledAt": 1595448,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\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(7f2658,f96bf6,...)))\n42: 1\n43: 2\n44: 50\n45: 100\n46: 1100000\n47: 0\n48: 1\n49: 0\n50: 1\n51: true\n52: 1\n53: Coll(63,55,112,66,97,109,47,31,-112,-24,-61,92,55,7,-4,-104,-97,12,25,86,-65,12,78,-8,109,-117,100,17,49,81,16,-70)\n54: 2\n55: 2\n56: 3\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: 1\n63: 0\n64: 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)\n65: 0\n66: 0\n67: 0\n68: 0\n69: 1\n70: false\n71: 1\n72: 0\n73: 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) } == if (l49 < placeholder[Long](62)) { placeholder[Long](63) } else { l49 }\n )}, placeholder[Coll[Byte]](64) == 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](65)) { coll56(placeholder[Int](66))._2 } else { placeholder[Long](67) } == l51\n )}\n )\n ), allOf(Coll[Boolean](bool53, bool47, l54 < placeholder[Long](68), l55 <= l28)), if (INPUTS.size == placeholder[Int](69)) {\n placeholder[Boolean](70)\n } else { allOf(Coll[Boolean](bool53, func44((prop45, INPUTS(placeholder[Int](71)))), l54 > placeholder[Long](72))) }, 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](73))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 0,
"amount": 999999,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 1,
"amount": 100,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 2,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R6": {
"serializedValue": "1103040000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,0,0]"
},
"R8": {
"serializedValue": "0eed067b226f776e6572223a2239665634504b6765526e334e506d316332455236776b68324b696f4d716a76434e6e4c6d4833637071626f7070646472385051222c226465765f61646472223a2267724e63676866536754537a546b7462325a416b3178714b79423634466d6b4b4b7051444c46675551707a6d4369424379565953396231364355684b3959474b79544a3575693545675977464477416f75546b50507231347853377455436e484c353975513173626264356559696442677335544232656139696a4e6459395a5050667638597642735172337a335976337946595956747a6372646448444d6d553278397550395a4576796f486d55326a544c6d3155726b794d4e3243675265536e6975506b696e32534b55583157666a595642646f5563533966374b535157783832357048566355465a627a69783261486b467972714c644a4747596f767862527452337233465831444d374839353363526e64704c565537556562507563564a65554c45633273706244795874776365556159516231706a76476d7174675355466852624b66473754484e554d78797541514c70364d6b424475446e7a3635766e4165694568746779644278654c53525773474b733558557648703633637a5546654262676773536775623956724e687a566b655a50416e476969506d543353635833374b4674334c506d587837616847545434426367364c7a56666738314771383968444c6e57617776724a6b68797039314b684e6b5138756b70714a724269336b4c63754873413861594c4c426f37694c5577786259797936665376785a6173794b4c573734726875667454514a5262533877327950384a4d6a414d65414150222c226465765f68617368223a2231326634346532636331366365646331633934663931626563613332643631613037653363383131383537373034316464353961666336623136303461333337222c226465765f666565223a35302c22746f6b656e5f6964223a2233663337373034323631366432663166393065386333356333373037666339383966306331393536626630633465663836643862363431313331353131306261222c22626173655f746f6b656e5f6964223a2230336661663263623332396632653930643664323362353864393162626236633034366161313433323631636332316635326662653238323462666362663034227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "11020240",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,32]"
},
"R9": {
"serializedValue": "0e377b227469746c65223a225465737434222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737434222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "04eeebc201",
"sigmaType": "SInt",
"renderedValue": "1596151"
}
}
},
{
"boxId": "646cb14163122229558f542b5559689c8d5700efa9bb5c827a410d956beea6ec",
"value": 1000000,
"index": 1,
"spendingProof": "21fb9ecf1098f54f45c2c909bd561d8c74259a2fcaf8f3a0144697b2c10a6478cd78720559959cbdc42d0b33095a2eb9a1a9015b3538d3d3",
"outputBlockId": "13d8c3606bc946b5294779fcddcf12cc50cc47d6288213e0ec709e1411f89bb9",
"outputTransactionId": "1f592df64e2af02497ad9bc4296172dc09668f77d6802199ac8f3fd3c79cb148",
"outputIndex": 1,
"outputGlobalIndex": 49577591,
"outputCreatedAt": 1595437,
"outputSettledAt": 1595441,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 0,
"amount": 1,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "b0994b7d829add6d3ab37c1f82b1e9aa6040fcf4647555e93068b3c57e3efd4d",
"value": 1000000,
"index": 2,
"spendingProof": "e65c76830549687181d5eaaad791686585f287a80ae835140d5ad391f547d8779dc5d0451f270c5bf14a6ea42193ecfc4ef84c3f765fc2ac",
"outputBlockId": "52b8b636bf114f3d7321a9bce1952b888652d8381c1a99064c4b279c081f9c60",
"outputTransactionId": "1400748cbf03c255332f13bce1713212fd346f891e0db4f5e93ff0814786cc5c",
"outputIndex": 1,
"outputGlobalIndex": 49577788,
"outputCreatedAt": 1595446,
"outputSettledAt": 1595448,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 0,
"amount": 1,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "de5908a88577bebbacc65265ad3af474b4b5d2c8fb7abb03e2f597e56633910b",
"value": 124905914,
"index": 3,
"spendingProof": "d62d5ce0051b5ce2e461b27b5a059cd7cd6a563a64e09d0b08c3399eddca049fe29790857802311e4eeaae2e085b991b8a301ff2df97ca2a",
"outputBlockId": "52b8b636bf114f3d7321a9bce1952b888652d8381c1a99064c4b279c081f9c60",
"outputTransactionId": "1400748cbf03c255332f13bce1713212fd346f891e0db4f5e93ff0814786cc5c",
"outputIndex": 3,
"outputGlobalIndex": 49577790,
"outputCreatedAt": 1595446,
"outputSettledAt": 1595448,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 0,
"amount": 996397,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 5,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 2,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 3,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 4,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 5,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 6,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 7,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 8,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 9,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 10,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "6f158e6c3d0131d96b7fce7e3e744ea47ae2d9293066ef4849a2f976d742e829",
"transactionId": "54847a8430b5304cb0d45364eec22093e0f4fa369775471316cecde2df7eab64",
"blockId": "5dc590ddda149a8a043d5300a48c97da76cb3e4ea3d7d6e9586f31db5d5d0552",
"value": 1000000,
"index": 0,
"globalIndex": 49579829,
"creationHeight": 1595571,
"settlementHeight": 1595573,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\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(7f2658,f96bf6,...)))\n42: 1\n43: 2\n44: 50\n45: 100\n46: 1100000\n47: 0\n48: 1\n49: 0\n50: 1\n51: true\n52: 1\n53: Coll(63,55,112,66,97,109,47,31,-112,-24,-61,92,55,7,-4,-104,-97,12,25,86,-65,12,78,-8,109,-117,100,17,49,81,16,-70)\n54: 2\n55: 2\n56: 3\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: 1\n63: 0\n64: 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)\n65: 0\n66: 0\n67: 0\n68: 0\n69: 1\n70: false\n71: 1\n72: 0\n73: 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) } == if (l49 < placeholder[Long](62)) { placeholder[Long](63) } else { l49 }\n )}, placeholder[Coll[Byte]](64) == 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](65)) { coll56(placeholder[Int](66))._2 } else { placeholder[Long](67) } == l51\n )}\n )\n ), allOf(Coll[Boolean](bool53, bool47, l54 < placeholder[Long](68), l55 <= l28)), if (INPUTS.size == placeholder[Int](69)) {\n placeholder[Boolean](70)\n } else { allOf(Coll[Boolean](bool53, func44((prop45, INPUTS(placeholder[Int](71)))), l54 > placeholder[Long](72))) }, 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](73))\n )\n )\n )\n )\n )\n )\n}",
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"sigmaType": "SLong",
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SByte]",
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"R4": {
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"sigmaType": "SInt",
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"mainChain": true
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{
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"creationHeight": 1595571,
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"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 4\n3: 32\n4: 100\n5: 1\n6: 2\n7: 3\n8: 5000000\n9: SigmaProp(ProveDlog(ECPoint(56b254,f723bc,...)))\n10: SigmaProp(ProveDlog(ECPoint(25bede,bb0a11,...)))\n11: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n12: 4\n13: 100\n14: SigmaProp(ProveDlog(ECPoint(5a9770,d3c928,...)))\n15: 1100000\n16: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n17: 5",
"ergoTreeScript": "{\n val l1 = OUTPUTS.map({(box1: Box) => box1.value }).fold(placeholder[Long](0), {(tuple1: (Long, Long)) => tuple1._1 + tuple1._2 })\n val box2 = OUTPUTS(placeholder[Int](1))\n val box3 = OUTPUTS(placeholder[Int](2))\n val l4 = box3.value\n val l5 = l1 - l4\n val l6 = placeholder[Long](3) * l5 / placeholder[Long](4)\n val box7 = OUTPUTS(placeholder[Int](5))\n val box8 = OUTPUTS(placeholder[Int](6))\n val box9 = OUTPUTS(placeholder[Int](7))\n sigmaProp(\n allOf(\n Coll[Boolean](\n l1 >= placeholder[Long](8), allOf(\n Coll[Boolean](\n (box2.value == l6) && (box2.propositionBytes == placeholder[SigmaProp](9).propBytes), (box7.value == l6) && (\n box7.propositionBytes == placeholder[SigmaProp](10).propBytes\n ), (box8.value == l6) && (box8.propositionBytes == placeholder[SigmaProp](11).propBytes), (\n box9.value == placeholder[Long](12) * l5 / placeholder[Long](13)\n ) && (box9.propositionBytes == placeholder[SigmaProp](14).propBytes)\n )\n ), allOf(\n Coll[Boolean](l4 >= placeholder[Int](15).toLong, blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](16))\n ), OUTPUTS.size == placeholder[Int](17)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 1,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "0a94d933a3d4e2c8c555ec40d45cb8185fb82d7420024f64cdf521a7cf63d28b",
"transactionId": "54847a8430b5304cb0d45364eec22093e0f4fa369775471316cecde2df7eab64",
"blockId": "5dc590ddda149a8a043d5300a48c97da76cb3e4ea3d7d6e9586f31db5d5d0552",
"value": 1100000,
"index": 3,
"globalIndex": 49579832,
"creationHeight": 1595571,
"settlementHeight": 1595573,
"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": "1cccdc3dd91d1fce49ae8ab255f65005d0ad2ac966097756dc8840fb7ab69427",
"mainChain": true
},
{
"boxId": "82478212ee88a07aea81014d0fb8d6535518dc9be9e80fb05e249ae4dc5f8404",
"transactionId": "54847a8430b5304cb0d45364eec22093e0f4fa369775471316cecde2df7eab64",
"blockId": "5dc590ddda149a8a043d5300a48c97da76cb3e4ea3d7d6e9586f31db5d5d0552",
"value": 123805914,
"index": 4,
"globalIndex": 49579833,
"creationHeight": 1595571,
"settlementHeight": 1595573,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 0,
"amount": 2,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 1,
"amount": 996397,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 5,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 3,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 4,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 5,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 6,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 7,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 8,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 9,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 10,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 11,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7c86b16d8e9ceed73a704c006915143d1523badab20e1f8a9b6e15c1ec8dce06",
"mainChain": true
}
],
"size": 3745,
"isUnconfirmed": false
}