Transaction
ID: 87729d4eac...9e09
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.025405914 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.0011 ERG
Tokens:
40
999,996.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.024405914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 164,559
Total coins transferred: 0.027605914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000283 ERG
Raw Transaction Data
{
"id": "87729d4eac2c271b57940a7325a39fb108705c4e1080f59df665e00e88f39e09",
"blockId": "5f3e28de45e74ead006c1d7706f4c48b958981b85b0e9b36b0dc8321ab087113",
"inclusionHeight": 1606120,
"timestamp": 1757085551495,
"index": 7,
"globalIndex": 9440457,
"numConfirmations": 164559,
"inputs": [
{
"boxId": "c384dba073331af6dd62fedfdc88de17f2729b30b54aa95225b31d72983b1ed7",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2c0b9a6a94510e0b28a7ce810942119e2c5db8b1de7e13b4c9e754eaec67c388",
"outputTransactionId": "7b952f4f214b8b9a7e748f45385b682e40fbdcda2f6783e86113781df14c8a4d",
"outputIndex": 0,
"outputGlobalIndex": 49892847,
"outputCreatedAt": 1606113,
"outputSettledAt": 1606114,
"ergoTree": "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",
"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: 1\n36: 2\n37: 1\n38: 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)\n39: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n40: 0\n41: 0\n42: 1\n43: 127\n44: 3\n45: 2\n46: 1\n47: 2\n48: 5\n49: 100\n50: 0\n51: 0\n52: 0\n53: 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)\n54: 1100000\n55: 0\n56: 1\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0\n63: 1\n64: 0\n65: 1\n66: true\n67: 1\n68: 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)\n69: 2\n70: 2\n71: 3\n72: 0\n73: 0\n74: 0\n75: true\n76: 2\n77: 0\n78: 3\n79: 1\n80: 1\n81: 0\n82: 1\n83: false\n84: 1\n85: 0\n86: 1\n87: 2\n88: 1\n89: 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)\n90: 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 i39 = OUTPUTS.size\n val l40 = SELF.value\n val l41 = box8.value\n val l42 = if (bool6) { if (bool13) { l40 - l41 } else { l40 } } else { l31 - if (bool13) { l30 } else { placeholder[Long](34) } }\n val bool43 = if (bool6) { l42 == l40 } else { l42 == l31 } && if (bool6) { bool3 } else {\n !((i2 > placeholder[Int](35)) && ((i2 > placeholder[Int](36)) || (coll1(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38))))\n }\n val bool44 = l25 == l26\n val prop45 = placeholder[SigmaProp](39)\n val func46 = {(tuple46: (SigmaProp, Box)) =>\n val coll48 = tuple46._2.propositionBytes\n val coll49 = tuple46._1.propBytes\n if (coll48(placeholder[Int](40)).toInt == placeholder[Int](41)) { coll48 == coll49 } else {(\n val i50 = coll48.size\n coll49.slice(placeholder[Int](42), coll49.size) == coll48.slice(\n if (i50 > placeholder[Int](43)) { placeholder[Int](44) } else { placeholder[Int](45) }, i50\n )\n )}\n }\n val func47 = {(i47: Int) => func46((prop45, OUTPUTS(i47))) }\n val bool48 = l34 >= l12\n val box49 = OUTPUTS(if (bool43) { placeholder[Int](46) } else { placeholder[Int](47) })\n val l50 = l42 * placeholder[Int](48).toLong / placeholder[Long](49)\n val bool51 = allOf(Coll[Boolean](if (bool6) { box49.value == l50 } else {(\n val coll51 = box49.tokens.filter({(tuple51: (Coll[Byte], Long)) => tuple51._1 == coll5 })\n if (coll51.size > placeholder[Int](50)) { coll51(placeholder[Int](51))._2 } else { placeholder[Long](52) } == l50\n )}, placeholder[Coll[Byte]](53) == blake2b256(box49.propositionBytes)))\n val l52 = l42 - l50\n val l53 = if (bool6) { l52 - placeholder[Int](54).toLong } else { l52 }\n val bool54 = if (bool6) { OUTPUTS(if (bool43) { placeholder[Int](55) } else { placeholder[Int](56) }).value == l53 } else {(\n val coll54 = OUTPUTS(if (bool43) { placeholder[Int](57) } else { placeholder[Int](58) }).tokens.filter(\n {(tuple54: (Coll[Byte], Long)) => tuple54._1 == coll5 }\n )\n if (coll54.size > placeholder[Int](59)) { coll54(placeholder[Int](60))._2 } else { placeholder[Long](61) } == l53\n )}\n val bool55 = l40 == l41\n val bool56 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool55, bool44))\n val l57 = if (bool23) { placeholder[Long](62) } else { coll9(placeholder[Int](63))._2 } - if (bool3) { placeholder[Long](64) } else {\n coll1(placeholder[Int](65))._2\n }\n val l58 = !l57\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](66) } else { coll1(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](69))\n } else { (bool3 || (i2 == placeholder[Int](70))) || (i2 == placeholder[Int](71)) }\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](72))\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](73))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n if ((((i39 > placeholder[Int](74)) && bool13) || bool43) && (!bool43)) { allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool44)) } else {\n placeholder[Boolean](75)\n }, if (bool43) { allOf(Coll[Boolean](i39 >= placeholder[Int](76), bool48, func47(placeholder[Int](77)), bool51, bool54)) } else {\n allOf(Coll[Boolean](i39 >= placeholder[Int](78), bool48, func47(placeholder[Int](79)), bool51, bool54))\n }\n )\n ), allOf(Coll[Boolean](bool56, func47(placeholder[Int](80)), l57 < placeholder[Long](81), l58 <= l28)), if (INPUTS.size == placeholder[Int](82)) {\n placeholder[Boolean](83)\n } else { allOf(Coll[Boolean](bool56, func46((prop45, INPUTS(placeholder[Int](84)))), l57 > placeholder[Long](85))) }, allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool14 || (\n if (bool6) { bool55 } else { l31 == l30 } && if (bool6) { bool3 } else {\n !((i2 > placeholder[Int](86)) && ((i2 > placeholder[Int](87)) || (coll1(placeholder[Int](88))._1 == placeholder[Coll[Byte]](89))))\n }\n ), bool36, bool19, bool55\n )\n ), bool48, l37 == l21 - l20, allOf(Coll[Boolean](l37 == l58, l37 > placeholder[Long](90)))\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "a27b8eb862ec32b74b31e7875144ca11e03cf4bbbc07dd91d60b5fae5484e1dd",
"index": 0,
"amount": 99999601,
"name": "UpdateTestContract APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 10000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 4000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
"serializedValue": "1103a0060000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[400,0,0]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "11021440",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,32]"
},
"R9": {
"serializedValue": "0e447b227469746c65223a2255706461746554657374436f6e7472616374222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2255706461746554657374436f6e7472616374222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "04ca87c401",
"sigmaType": "SInt",
"renderedValue": "1606117"
}
}
},
{
"boxId": "938d9d577441b09467711fc8b696844066eea2dab900b99cad3f1ef8205c44bf",
"value": 1100000,
"index": 1,
"spendingProof": "23aba5afb357a74bbfe95c1c09b15f22878a8edf6edeb1fdea7d697b0d7d005aaa767a7e97d5223e754b33162138f0775a4fc55bf3ee9e22",
"outputBlockId": "2c0b9a6a94510e0b28a7ce810942119e2c5db8b1de7e13b4c9e754eaec67c388",
"outputTransactionId": "7b952f4f214b8b9a7e748f45385b682e40fbdcda2f6783e86113781df14c8a4d",
"outputIndex": 1,
"outputGlobalIndex": 49892848,
"outputCreatedAt": 1606113,
"outputSettledAt": 1606114,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "a27b8eb862ec32b74b31e7875144ca11e03cf4bbbc07dd91d60b5fae5484e1dd",
"index": 0,
"amount": 400,
"name": "UpdateTestContract APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "9073c2ec9f58944f68da2ca8d25498996fc7ee7e95de119b4651700e0e691ad2",
"value": 25405914,
"index": 2,
"spendingProof": "d4cd5ce45a0d1e7f9403a344b663c7e791fe9de81918f55774e6690ced90887b861eb1f5b5cb10af8ae1786a4c17a12e7f208f0847084005",
"outputBlockId": "2c0b9a6a94510e0b28a7ce810942119e2c5db8b1de7e13b4c9e754eaec67c388",
"outputTransactionId": "7b952f4f214b8b9a7e748f45385b682e40fbdcda2f6783e86113781df14c8a4d",
"outputIndex": 3,
"outputGlobalIndex": 49892850,
"outputCreatedAt": 1606113,
"outputSettledAt": 1606114,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 2952100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "c4e57277b92b6d8809c85b720f5472f5d64f75b646a8f9aeeeaa59f4e9874ddb",
"index": 1,
"amount": 400,
"name": "DevFees APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 99962950,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f3d37875c87701f5fb523a5dc40b3e19bf9d527f99950bd5277f37c4948e2ee",
"index": 3,
"amount": 400,
"name": "TestCollectnewfix APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9f84aa5b4e5b6989a09bb9d7622a540b81754dc78270a4f4ce1d49a6c4c0a23f",
"index": 4,
"amount": 300,
"name": "TestCollectv2 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "4fa94db3320f7991ca9d8e147edb4c3360e2ed14943dc3be25cab5d867ea0cf9",
"index": 5,
"amount": 100,
"name": "Test for the Collect APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "abe6382d2d9aae6631d054fa6d35900a91afadcce6a5f4c67cd5e9b2efc22c22",
"index": 6,
"amount": 100,
"name": "Test Rate APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "dafa6183e63be9f3d851086f120fcb2023d3a2111eccdcbcd61197c4c5575385",
"index": 7,
"amount": 2000,
"name": "Collect Test APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 8,
"amount": 3,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 9,
"amount": 995901,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7c7d5f3b37082d3e1a8b12218d8aaabef8396462baa3bb917c711efb2013c5ef",
"index": 10,
"amount": 2,
"name": "Timer Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cc28dcb36a9ce4b7bc9cc0b96599753ad7e26a5dfe2793ec68bf630562d382d4",
"index": 11,
"amount": 1,
"name": "base token testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 12,
"amount": 2,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 13,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 14,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 15,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 16,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 17,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 18,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 19,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 20,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 21,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "39c7f69cded49fffb7964c246b6e9bb069bb1954219a0192bf23cdd89dc6a31c",
"transactionId": "87729d4eac2c271b57940a7325a39fb108705c4e1080f59df665e00e88f39e09",
"blockId": "5f3e28de45e74ead006c1d7706f4c48b958981b85b0e9b36b0dc8321ab087113",
"value": 1100000,
"index": 0,
"globalIndex": 49892975,
"creationHeight": 1606119,
"settlementHeight": 1606120,
"ergoTree": "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",
"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: 1\n36: 2\n37: 1\n38: 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)\n39: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n40: 0\n41: 0\n42: 1\n43: 127\n44: 3\n45: 2\n46: 1\n47: 2\n48: 5\n49: 100\n50: 0\n51: 0\n52: 0\n53: 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)\n54: 1100000\n55: 0\n56: 1\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0\n63: 1\n64: 0\n65: 1\n66: true\n67: 1\n68: 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)\n69: 2\n70: 2\n71: 3\n72: 0\n73: 0\n74: 0\n75: true\n76: 2\n77: 0\n78: 3\n79: 1\n80: 1\n81: 0\n82: 1\n83: false\n84: 1\n85: 0\n86: 1\n87: 2\n88: 1\n89: 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)\n90: 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 i39 = OUTPUTS.size\n val l40 = SELF.value\n val l41 = box8.value\n val l42 = if (bool6) { if (bool13) { l40 - l41 } else { l40 } } else { l31 - if (bool13) { l30 } else { placeholder[Long](34) } }\n val bool43 = if (bool6) { l42 == l40 } else { l42 == l31 } && if (bool6) { bool3 } else {\n !((i2 > placeholder[Int](35)) && ((i2 > placeholder[Int](36)) || (coll1(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38))))\n }\n val bool44 = l25 == l26\n val prop45 = placeholder[SigmaProp](39)\n val func46 = {(tuple46: (SigmaProp, Box)) =>\n val coll48 = tuple46._2.propositionBytes\n val coll49 = tuple46._1.propBytes\n if (coll48(placeholder[Int](40)).toInt == placeholder[Int](41)) { coll48 == coll49 } else {(\n val i50 = coll48.size\n coll49.slice(placeholder[Int](42), coll49.size) == coll48.slice(\n if (i50 > placeholder[Int](43)) { placeholder[Int](44) } else { placeholder[Int](45) }, i50\n )\n )}\n }\n val func47 = {(i47: Int) => func46((prop45, OUTPUTS(i47))) }\n val bool48 = l34 >= l12\n val box49 = OUTPUTS(if (bool43) { placeholder[Int](46) } else { placeholder[Int](47) })\n val l50 = l42 * placeholder[Int](48).toLong / placeholder[Long](49)\n val bool51 = allOf(Coll[Boolean](if (bool6) { box49.value == l50 } else {(\n val coll51 = box49.tokens.filter({(tuple51: (Coll[Byte], Long)) => tuple51._1 == coll5 })\n if (coll51.size > placeholder[Int](50)) { coll51(placeholder[Int](51))._2 } else { placeholder[Long](52) } == l50\n )}, placeholder[Coll[Byte]](53) == blake2b256(box49.propositionBytes)))\n val l52 = l42 - l50\n val l53 = if (bool6) { l52 - placeholder[Int](54).toLong } else { l52 }\n val bool54 = if (bool6) { OUTPUTS(if (bool43) { placeholder[Int](55) } else { placeholder[Int](56) }).value == l53 } else {(\n val coll54 = OUTPUTS(if (bool43) { placeholder[Int](57) } else { placeholder[Int](58) }).tokens.filter(\n {(tuple54: (Coll[Byte], Long)) => tuple54._1 == coll5 }\n )\n if (coll54.size > placeholder[Int](59)) { coll54(placeholder[Int](60))._2 } else { placeholder[Long](61) } == l53\n )}\n val bool55 = l40 == l41\n val bool56 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool55, bool44))\n val l57 = if (bool23) { placeholder[Long](62) } else { coll9(placeholder[Int](63))._2 } - if (bool3) { placeholder[Long](64) } else {\n coll1(placeholder[Int](65))._2\n }\n val l58 = !l57\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](66) } else { coll1(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](69))\n } else { (bool3 || (i2 == placeholder[Int](70))) || (i2 == placeholder[Int](71)) }\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](72))\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](73))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n if ((((i39 > placeholder[Int](74)) && bool13) || bool43) && (!bool43)) { allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool44)) } else {\n placeholder[Boolean](75)\n }, if (bool43) { allOf(Coll[Boolean](i39 >= placeholder[Int](76), bool48, func47(placeholder[Int](77)), bool51, bool54)) } else {\n allOf(Coll[Boolean](i39 >= placeholder[Int](78), bool48, func47(placeholder[Int](79)), bool51, bool54))\n }\n )\n ), allOf(Coll[Boolean](bool56, func47(placeholder[Int](80)), l57 < placeholder[Long](81), l58 <= l28)), if (INPUTS.size == placeholder[Int](82)) {\n placeholder[Boolean](83)\n } else { allOf(Coll[Boolean](bool56, func46((prop45, INPUTS(placeholder[Int](84)))), l57 > placeholder[Long](85))) }, allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool14 || (\n if (bool6) { bool55 } else { l31 == l30 } && if (bool6) { bool3 } else {\n !((i2 > placeholder[Int](86)) && ((i2 > placeholder[Int](87)) || (coll1(placeholder[Int](88))._1 == placeholder[Coll[Byte]](89))))\n }\n ), bool36, bool19, bool55\n )\n ), bool48, l37 == l21 - l20, allOf(Coll[Boolean](l37 == l58, l37 > placeholder[Long](90)))\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "a27b8eb862ec32b74b31e7875144ca11e03cf4bbbc07dd91d60b5fae5484e1dd",
"index": 0,
"amount": 99999601,
"name": "UpdateTestContract APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 1,
"amount": 4000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
"serializedValue": "1103a0060000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[400,0,0]"
},
"R8": {
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