Transaction
ID: e6af948c2d...0068
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.047105914 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.046005914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 163,286
Total coins transferred: 0.049105914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000315 ERG
Raw Transaction Data
{
"id": "e6af948c2dfcdbe9c6dd8d287a9c5e960f34209ac39fcc4163b08792229a0068",
"blockId": "ae0716ad56c9a88099784970b4a3a511d29229d7598fb56476102b001e657f86",
"inclusionHeight": 1605246,
"timestamp": 1756981388655,
"index": 7,
"globalIndex": 9435730,
"numConfirmations": 163286,
"inputs": [
{
"boxId": "3a043ddc5af42fbcf8dd7e461582a18403fe2322725b6a52e8a053fc6b85f717",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f48b4d044dba9a93f85bfb2495bac86684ed24c95c4c02458e1277f98e84d622",
"outputTransactionId": "a4a42bea99599760104a8140dc8655d1891176360ef023d22f19b8a2f709d256",
"outputIndex": 0,
"outputGlobalIndex": 49874092,
"outputCreatedAt": 1605237,
"outputSettledAt": 1605240,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 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)\n3: 0\n4: 1\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: 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)\n18: 0\n19: 0\n20: 0\n21: 0\n22: 1\n23: 2\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 127\n35: 3\n36: 2\n37: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n38: 1\n39: 2\n40: 0\n41: 100\n42: 1100000\n43: true\n44: 2\n45: 2\n46: 3\n47: 0\n48: 0\n49: 0\n50: 0\n51: 0\n52: 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)\n53: 0\n54: 0\n55: 0\n56: 0\n57: 1\n58: false\n59: 1\n60: 0\n61: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Long]].get\n val coll2 = if (coll1(placeholder[Int](0)) == placeholder[Long](1)) { Coll[Byte]() } else { placeholder[Coll[Byte]](2) }\n val bool3 = coll2.size == placeholder[Int](3)\n val coll4 = SELF.tokens\n val i5 = coll4.size\n val bool6 = i5 == placeholder[Int](4)\n val tuple7 = coll4(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)) && (coll1 == 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 (bool3) {(\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 func23 = {(box23: Box) =>\n val coll25 = box23.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == placeholder[Coll[Byte]](17) })\n if (coll25.size > placeholder[Int](18)) { coll25(placeholder[Int](19))._2 } else { placeholder[Long](20) }\n }\n val l24 = func23(SELF)\n val l25 = func23(box8)\n val bool26 = l24 == l25\n val l27 = tuple7._2\n val l28 = tuple10._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.R6[Coll[Long]].get\n func23(box30) - coll32(placeholder[Int](21)) + coll32(placeholder[Int](22)) + coll32(placeholder[Int](23))\n }(SELF)\n val func31 = {(box31: Box) => if (bool3) { box31.value } else {(\n val coll33 = box31.tokens.filter({(tuple33: (Coll[Byte], Long)) => tuple33._1 == coll2 })\n if (coll33.size > placeholder[Int](24)) { coll33(placeholder[Int](25))._2 } else { placeholder[Long](26) }\n )} }\n val l32 = func31(box8)\n val l33 = func31(SELF)\n val l34 = coll1(placeholder[Int](27))\n val l35 = coll17(placeholder[Int](28))\n val l36 = coll15(placeholder[Int](29))\n val l37 = l35 - l36\n val bool38 = l36 == l35\n val l39 = l28 - l27\n val l40 = l18 - l16\n val l41 = SELF.value\n val l42 = box8.value\n val l43 = if (bool3) { if (bool13) { l41 - l42 } else { l41 } } else { l33 - if (bool13) { l32 } else { placeholder[Long](30) } }\n val bool44 = l27 == l28\n val bool45 = l36 >= l12\n val func46 = {(tuple46: (SigmaProp, Box)) =>\n val coll48 = tuple46._2.propositionBytes\n val coll49 = tuple46._1.propBytes\n if (coll48(placeholder[Int](31)).toInt == placeholder[Int](32)) { coll48 == coll49 } else {(\n val i50 = coll48.size\n coll49.slice(placeholder[Int](33), coll49.size) == coll48.slice(\n if (i50 > placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, i50\n )\n )}\n }\n val prop47 = placeholder[SigmaProp](37)\n val box48 = OUTPUTS(placeholder[Int](38))\n val bool49 = func46((prop47, box48))\n val box50 = OUTPUTS(placeholder[Int](39))\n val l51 = l43 * placeholder[Int](40).toLong / placeholder[Long](41)\n val l52 = l43 - l51\n val l53 = if (bool3) { l52 - placeholder[Int](42).toLong } else { l52 }\n val bool54 = l41 == l42\n val bool55 = allOf(Coll[Boolean](bool14, bool38, bool19, bool22, bool54, bool44))\n val l56 = l25 - l24\n val l57 = !l56\n sigmaProp(\n (\n placeholder[Boolean](43) && if (bool3) { bool6 || (i5 == placeholder[Int](44)) } else {\n (bool6 || (i5 == placeholder[Int](45))) || (i5 == placeholder[Int](46))\n }\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool26)), l29 <= l30, l32 - l33 == l29 * l34, allOf(\n Coll[Boolean](l29 == l37, l37 > placeholder[Long](47))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool38, bool22, bool26)), (HEIGHT > i11) && (l36 < l12), allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](48))\n ), l33 - l32 == l39 * l34\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (if (bool3) { l43 == l41 } else { l43 == l33 } && bool6), bool38, bool19, bool22, bool44, bool26)\n ), bool45, bool49, allOf(Coll[Boolean](if (bool3) { box50.value == l51 } else {(\n val coll58 = box50.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll2 })\n if (coll58.size > placeholder[Int](49)) { coll58(placeholder[Int](50))._2 } else { placeholder[Long](51) } == l51\n )}, placeholder[Coll[Byte]](52) == blake2b256(box50.propositionBytes))), if (bool3) { box48.value == l53 } else {(\n val coll58 = box48.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll2 })\n if (coll58.size > placeholder[Int](53)) { coll58(placeholder[Int](54))._2 } else { placeholder[Long](55) } == l53\n )}\n )\n ), allOf(Coll[Boolean](bool55, bool49, l56 < placeholder[Long](56), l57 <= l30)), if (INPUTS.size == placeholder[Int](57)) {\n placeholder[Boolean](58)\n } else { allOf(Coll[Boolean](bool55, func46((prop47, INPUTS(placeholder[Int](59)))), l56 > placeholder[Long](60))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool54 && bool6), bool38, bool19, bool54)), bool45, l39 == l21 - l20, allOf(\n Coll[Boolean](l39 == l57, l39 > placeholder[Long](61))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "9f84aa5b4e5b6989a09bb9d7622a540b81754dc78270a4f4ce1d49a6c4c0a23f",
"index": 0,
"amount": 99999601,
"name": "TestCollectv2 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": {
"serializedValue": "0eec067b226f776e6572223a2239665634504b6765526e334e506d316332455236776b68324b696f4d716a76434e6e4c6d4833637071626f7070646472385051222c226465765f61646472223a2267724e63676866536754537a546b7462325a416b3178714b79423634466d6b4b4b7051444c46675551707a6d4369424379565953396231364355684b3959474b79544a3575693545675977464477416f75546b50507231347853377455436e484c353975513173626264356559696442677335544232656139696a4e6459395a5050667638597642735172337a335976337946595956747a6372646448444d6d553278397550395a4576796f486d55326a544c6d3155726b794d4e3243675265536e6975506b696e32534b55583157666a595642646f5563533966374b535157783832357048566355465a627a69783261486b467972714c644a4747596f767862527452337233465831444d374839353363526e64704c565537556562507563564a65554c45633273706244795874776365556159516231706a76476d7174675355466852624b66473754484e554d78797541514c70364d6b424475446e7a3635766e4165694568746779644278654c53525773474b733558557648703633637a5546654262676773536775623956724e687a566b655a50416e476969506d543353635833374b4674334c506d587837616847545434426367364c7a56666738314771383968444c6e57617776724a6b68797039314b684e6b5138756b70714a724269336b4c63754873413861594c4c426f37694c5577786259797936665376785a6173794b4c573734726875667454514a5262533877327950384a4d6a414d65414150222c226465765f68617368223a2231326634346532636331366365646331633934663931626563613332643631613037653363383131383537373034316464353961666336623136303461333337222c226465765f666565223a302c22746f6b656e5f6964223a2261613539323533613061396437356436353865656337616564613930663335303637356232653165636366656565643137653533383066363139363033633731222c22626173655f746f6b656e5f6964223a2237346235323364363033363165383263343231323832383339353761656337653031666535666536653239623635343636343564336637653136623362393261227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "11021440",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,32]"
},
"R9": {
"serializedValue": "0e3f7b227469746c65223a2254657374436f6c6c6563747632222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374436f6c6c6563747632222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "049afac301",
"sigmaType": "SInt",
"renderedValue": "1605261"
}
}
},
{
"boxId": "6cfcabdade9979a4514e369b9948e0c47d4e99264f9d12186837871330b692e9",
"value": 1000000,
"index": 1,
"spendingProof": "c08f1e582cc17d497ed02fbc3f0f3366b01e23a2c4aa02b882255daa56e3d4c8558426ee1b82012001adba53b4944954728e798d1c8256fd",
"outputBlockId": "f48b4d044dba9a93f85bfb2495bac86684ed24c95c4c02458e1277f98e84d622",
"outputTransactionId": "a4a42bea99599760104a8140dc8655d1891176360ef023d22f19b8a2f709d256",
"outputIndex": 1,
"outputGlobalIndex": 49874093,
"outputCreatedAt": 1605237,
"outputSettledAt": 1605240,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "9f84aa5b4e5b6989a09bb9d7622a540b81754dc78270a4f4ce1d49a6c4c0a23f",
"index": 0,
"amount": 400,
"name": "TestCollectv2 APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "033cdc37dbb5e899cbabeac4186efb8384fbb26dd34ac1d20b168b252d9bfa7f",
"value": 47105914,
"index": 2,
"spendingProof": "df0d08fca01dd419c7c69250a914eb3997298ae69903f84d7db6f2676692b78baa2e36d45dc9315927f9aea1f6890474db746c221a6638b5",
"outputBlockId": "f48b4d044dba9a93f85bfb2495bac86684ed24c95c4c02458e1277f98e84d622",
"outputTransactionId": "a4a42bea99599760104a8140dc8655d1891176360ef023d22f19b8a2f709d256",
"outputIndex": 3,
"outputGlobalIndex": 49874095,
"outputCreatedAt": 1605237,
"outputSettledAt": 1605240,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 2972000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "4fa94db3320f7991ca9d8e147edb4c3360e2ed14943dc3be25cab5d867ea0cf9",
"index": 1,
"amount": 100,
"name": "Test for the Collect APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 99974000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "abe6382d2d9aae6631d054fa6d35900a91afadcce6a5f4c67cd5e9b2efc22c22",
"index": 3,
"amount": 100,
"name": "Test Rate APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "dafa6183e63be9f3d851086f120fcb2023d3a2111eccdcbcd61197c4c5575385",
"index": 4,
"amount": 2000,
"name": "Collect Test APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 5,
"amount": 3,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 6,
"amount": 995901,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7c7d5f3b37082d3e1a8b12218d8aaabef8396462baa3bb917c711efb2013c5ef",
"index": 7,
"amount": 2,
"name": "Timer Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cc28dcb36a9ce4b7bc9cc0b96599753ad7e26a5dfe2793ec68bf630562d382d4",
"index": 8,
"amount": 1,
"name": "base token testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 9,
"amount": 2,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 10,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 11,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 12,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 13,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 14,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 15,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 16,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 17,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 18,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "bd733a3c504a0bc705c626a54cc2c2c304dd69d015ac6888a70da2abfd860c99",
"transactionId": "e6af948c2dfcdbe9c6dd8d287a9c5e960f34209ac39fcc4163b08792229a0068",
"blockId": "ae0716ad56c9a88099784970b4a3a511d29229d7598fb56476102b001e657f86",
"value": 1000000,
"index": 0,
"globalIndex": 49874143,
"creationHeight": 1605243,
"settlementHeight": 1605246,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 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)\n3: 0\n4: 1\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: 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)\n18: 0\n19: 0\n20: 0\n21: 0\n22: 1\n23: 2\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 127\n35: 3\n36: 2\n37: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n38: 1\n39: 2\n40: 0\n41: 100\n42: 1100000\n43: true\n44: 2\n45: 2\n46: 3\n47: 0\n48: 0\n49: 0\n50: 0\n51: 0\n52: 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)\n53: 0\n54: 0\n55: 0\n56: 0\n57: 1\n58: false\n59: 1\n60: 0\n61: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Long]].get\n val coll2 = if (coll1(placeholder[Int](0)) == placeholder[Long](1)) { Coll[Byte]() } else { placeholder[Coll[Byte]](2) }\n val bool3 = coll2.size == placeholder[Int](3)\n val coll4 = SELF.tokens\n val i5 = coll4.size\n val bool6 = i5 == placeholder[Int](4)\n val tuple7 = coll4(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)) && (coll1 == 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 (bool3) {(\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 func23 = {(box23: Box) =>\n val coll25 = box23.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == placeholder[Coll[Byte]](17) })\n if (coll25.size > placeholder[Int](18)) { coll25(placeholder[Int](19))._2 } else { placeholder[Long](20) }\n }\n val l24 = func23(SELF)\n val l25 = func23(box8)\n val bool26 = l24 == l25\n val l27 = tuple7._2\n val l28 = tuple10._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.R6[Coll[Long]].get\n func23(box30) - coll32(placeholder[Int](21)) + coll32(placeholder[Int](22)) + coll32(placeholder[Int](23))\n }(SELF)\n val func31 = {(box31: Box) => if (bool3) { box31.value } else {(\n val coll33 = box31.tokens.filter({(tuple33: (Coll[Byte], Long)) => tuple33._1 == coll2 })\n if (coll33.size > placeholder[Int](24)) { coll33(placeholder[Int](25))._2 } else { placeholder[Long](26) }\n )} }\n val l32 = func31(box8)\n val l33 = func31(SELF)\n val l34 = coll1(placeholder[Int](27))\n val l35 = coll17(placeholder[Int](28))\n val l36 = coll15(placeholder[Int](29))\n val l37 = l35 - l36\n val bool38 = l36 == l35\n val l39 = l28 - l27\n val l40 = l18 - l16\n val l41 = SELF.value\n val l42 = box8.value\n val l43 = if (bool3) { if (bool13) { l41 - l42 } else { l41 } } else { l33 - if (bool13) { l32 } else { placeholder[Long](30) } }\n val bool44 = l27 == l28\n val bool45 = l36 >= l12\n val func46 = {(tuple46: (SigmaProp, Box)) =>\n val coll48 = tuple46._2.propositionBytes\n val coll49 = tuple46._1.propBytes\n if (coll48(placeholder[Int](31)).toInt == placeholder[Int](32)) { coll48 == coll49 } else {(\n val i50 = coll48.size\n coll49.slice(placeholder[Int](33), coll49.size) == coll48.slice(\n if (i50 > placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, i50\n )\n )}\n }\n val prop47 = placeholder[SigmaProp](37)\n val box48 = OUTPUTS(placeholder[Int](38))\n val bool49 = func46((prop47, box48))\n val box50 = OUTPUTS(placeholder[Int](39))\n val l51 = l43 * placeholder[Int](40).toLong / placeholder[Long](41)\n val l52 = l43 - l51\n val l53 = if (bool3) { l52 - placeholder[Int](42).toLong } else { l52 }\n val bool54 = l41 == l42\n val bool55 = allOf(Coll[Boolean](bool14, bool38, bool19, bool22, bool54, bool44))\n val l56 = l25 - l24\n val l57 = !l56\n sigmaProp(\n (\n placeholder[Boolean](43) && if (bool3) { bool6 || (i5 == placeholder[Int](44)) } else {\n (bool6 || (i5 == placeholder[Int](45))) || (i5 == placeholder[Int](46))\n }\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool26)), l29 <= l30, l32 - l33 == l29 * l34, allOf(\n Coll[Boolean](l29 == l37, l37 > placeholder[Long](47))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool38, bool22, bool26)), (HEIGHT > i11) && (l36 < l12), allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](48))\n ), l33 - l32 == l39 * l34\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (if (bool3) { l43 == l41 } else { l43 == l33 } && bool6), bool38, bool19, bool22, bool44, bool26)\n ), bool45, bool49, allOf(Coll[Boolean](if (bool3) { box50.value == l51 } else {(\n val coll58 = box50.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll2 })\n if (coll58.size > placeholder[Int](49)) { coll58(placeholder[Int](50))._2 } else { placeholder[Long](51) } == l51\n )}, placeholder[Coll[Byte]](52) == blake2b256(box50.propositionBytes))), if (bool3) { box48.value == l53 } else {(\n val coll58 = box48.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll2 })\n if (coll58.size > placeholder[Int](53)) { coll58(placeholder[Int](54))._2 } else { placeholder[Long](55) } == l53\n )}\n )\n ), allOf(Coll[Boolean](bool55, bool49, l56 < placeholder[Long](56), l57 <= l30)), if (INPUTS.size == placeholder[Int](57)) {\n placeholder[Boolean](58)\n } else { allOf(Coll[Boolean](bool55, func46((prop47, INPUTS(placeholder[Int](59)))), l56 > placeholder[Long](60))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool54 && bool6), bool38, bool19, bool54)), bool45, l39 == l21 - l20, allOf(\n Coll[Boolean](l39 == l57, l39 > placeholder[Long](61))\n )\n )\n )\n )\n )\n )\n}",
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"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[400,0,100]"
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"R7": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[10,32]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374436f6c6c6563747632222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
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"sigmaType": "SInt",
"renderedValue": "1605261"
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"mainChain": true
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{
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"index": 1,
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"creationHeight": 1605243,
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"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
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{
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"index": 2,
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"creationHeight": 1605243,
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
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