Transaction
ID: 5b26bdb964...953a
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:
0.011605914 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.001 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:
0.010505914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 151,013
Total coins transferred: 0.013605914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000294 ERG
Raw Transaction Data
{
"id": "5b26bdb964417e61d3259fff7bb59876a89efad2a630f31bc56ebfc540a2953a",
"blockId": "c119dc70c6f25b338edd31bba8658af5a1dbf0f5095cda0b37bbe2800a0ea5b8",
"inclusionHeight": 1607677,
"timestamp": 1757271690082,
"index": 9,
"globalIndex": 9448618,
"numConfirmations": 151013,
"inputs": [
{
"boxId": "7d68b6960177a1ee29f894a8cbc3cf335ba8beb4e4a782691a4ce48b59352dc9",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c3a5cf7ba6935e5f397f3ccdb16328b89c01d0979152c4fb766bc072fd686071",
"outputTransactionId": "b9c28c3b6b783bde6a06c0842385d45a8ec8952df7d4dbe3a026bb3642bbabc5",
"outputIndex": 0,
"outputGlobalIndex": 49925493,
"outputCreatedAt": 1607670,
"outputSettledAt": 1607673,
"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: 0\n36: 0\n37: 1\n38: 127\n39: 3\n40: 2\n41: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n42: 1\n43: 0\n44: 0\n45: 100\n46: 2\n47: 1\n48: 1\n49: 0\n50: 1100000\n51: 0\n52: 1\n53: 0\n54: 1\n55: true\n56: 1\n57: 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)\n58: 2\n59: 2\n60: 3\n61: 0\n62: 0\n63: 0\n64: 0\n65: 0\n66: 0\n67: 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)\n68: 0\n69: 0\n70: 0\n71: 0\n72: 0\n73: 1\n74: false\n75: 1\n76: 0\n77: 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 = if (bool6) { l41 == l39 } else { l41 == l31 }\n val bool43 = l25 == l26\n val bool44 = l34 >= l12\n val func45 = {(tuple45: (SigmaProp, Box)) =>\n val coll47 = tuple45._2.propositionBytes\n val coll48 = tuple45._1.propBytes\n if (coll47(placeholder[Int](35)).toInt == placeholder[Int](36)) { coll47 == coll48 } else {(\n val i49 = coll47.size\n coll48.slice(placeholder[Int](37), coll48.size) == coll47.slice(\n if (i49 > placeholder[Int](38)) { placeholder[Int](39) } else { placeholder[Int](40) }, i49\n )\n )}\n }\n val prop46 = placeholder[SigmaProp](41)\n val bool47 = func45((prop46, OUTPUTS(if (bool14) { placeholder[Int](42) } else { placeholder[Int](43) })))\n val l48 = l41 * placeholder[Int](44).toLong / placeholder[Long](45)\n val i49 = if (bool14) { placeholder[Int](46) } else { placeholder[Int](47) }\n val i50 = if (bool14) { placeholder[Int](48) } else { placeholder[Int](49) }\n val l51 = l41 - l48\n val l52 = if (bool6) { l51 - placeholder[Int](50).toLong } else { l51 }\n val bool53 = l39 == l40\n val bool54 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool53, bool43))\n val l55 = if (bool23) { placeholder[Long](51) } else { coll9(placeholder[Int](52))._2 } - if (bool3) { placeholder[Long](53) } else {\n coll1(placeholder[Int](54))._2\n }\n val l56 = !l55\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](55) } else { coll1(placeholder[Int](56))._1 == placeholder[Coll[Byte]](57) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](58))\n } else { (bool3 || (i2 == placeholder[Int](59))) || (i2 == placeholder[Int](60)) }\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](61))\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](62))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool42 && bool3), bool36, bool19, bool22, bool43, bool24)), bool44, bool47, if ((\n ((l48 > placeholder[Long](63)) || (!bool42)) || (!bool3)\n ) && (OUTPUTS.size > i49)) {(\n val box57 = OUTPUTS(i49)\n allOf(Coll[Boolean](if (bool6) { box57.value == l48 } else {(\n val coll58 = box57.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll5 })\n if (coll58.size > placeholder[Int](64)) { coll58(placeholder[Int](65))._2 } else { placeholder[Long](66) } == l48\n )}, placeholder[Coll[Byte]](67) == blake2b256(box57.propositionBytes)))\n )} else { ((l48 == placeholder[Long](68)) && bool42) && bool3 }, if (bool6) { OUTPUTS(i50).value == l52 } else {(\n val coll57 = OUTPUTS(i50).tokens.filter({(tuple57: (Coll[Byte], Long)) => tuple57._1 == coll5 })\n if (coll57.size > placeholder[Int](69)) { coll57(placeholder[Int](70))._2 } else { placeholder[Long](71) } == l52\n )}\n )\n ), allOf(Coll[Boolean](bool54, bool47, l55 < placeholder[Long](72), l56 <= l28)), if (INPUTS.size == placeholder[Int](73)) {\n placeholder[Boolean](74)\n } else { allOf(Coll[Boolean](bool54, func45((prop46, INPUTS(placeholder[Int](75)))), l55 > placeholder[Long](76))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool53 && bool3), bool36, bool19, bool53)), bool44, l37 == l21 - l20, allOf(\n Coll[Boolean](l37 == l56, l37 > placeholder[Long](77))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "14210be13d956c4c7f3a29be734113b34ead425c6741990b286aa00266497aef",
"index": 0,
"amount": 99999601,
"name": "UpdateCT 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": "0e3a7b227469746c65223a225570646174654354222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225570646174654354222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "049ca0c401",
"sigmaType": "SInt",
"renderedValue": "1607694"
}
}
},
{
"boxId": "6623839c727fe6977b44ace0df64facaa644bc1d1958a4040c10a1cad9ef0f0a",
"value": 1000000,
"index": 1,
"spendingProof": "ceb926cd8015e8933cfa051b8ff05b9a8afb5a00840f3e84f21a7c07199797d38f80a097eb4cd2441d43fba9bc75e9055a2108136693ef4d",
"outputBlockId": "c3a5cf7ba6935e5f397f3ccdb16328b89c01d0979152c4fb766bc072fd686071",
"outputTransactionId": "b9c28c3b6b783bde6a06c0842385d45a8ec8952df7d4dbe3a026bb3642bbabc5",
"outputIndex": 1,
"outputGlobalIndex": 49925494,
"outputCreatedAt": 1607670,
"outputSettledAt": 1607673,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "14210be13d956c4c7f3a29be734113b34ead425c6741990b286aa00266497aef",
"index": 0,
"amount": 400,
"name": "UpdateCT APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "fbd3700227d7f6ca4f0b2088967797d4a341dd25f6ec928990e3442952ae9db6",
"value": 11605914,
"index": 2,
"spendingProof": "0b7276f82ef1dcfec9723f975bf4283d8cc6ee2f186130422cfec0fbb3990d2f377831437f75bcded789c8d5d6c6a8ca0a60caa1ddf40aba",
"outputBlockId": "c3a5cf7ba6935e5f397f3ccdb16328b89c01d0979152c4fb766bc072fd686071",
"outputTransactionId": "b9c28c3b6b783bde6a06c0842385d45a8ec8952df7d4dbe3a026bb3642bbabc5",
"outputIndex": 3,
"outputGlobalIndex": 49925496,
"outputCreatedAt": 1607670,
"outputSettledAt": 1607673,
"ergoTree": "0008cd027f265870dbe9dc2bb9b02d964b913a363a71fff8af43c536dbfb63acd3b83bee",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))}",
"address": "9fV4PKgeRn3NPm1c2ER6wkh2KioMqjvCNnLmH3cpqboppddr8PQ",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 2932100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "a27b8eb862ec32b74b31e7875144ca11e03cf4bbbc07dd91d60b5fae5484e1dd",
"index": 1,
"amount": 400,
"name": "UpdateTestContract APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 99958950,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "c4e57277b92b6d8809c85b720f5472f5d64f75b646a8f9aeeeaa59f4e9874ddb",
"index": 3,
"amount": 400,
"name": "DevFees APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f3d37875c87701f5fb523a5dc40b3e19bf9d527f99950bd5277f37c4948e2ee",
"index": 4,
"amount": 400,
"name": "TestCollectnewfix APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9f84aa5b4e5b6989a09bb9d7622a540b81754dc78270a4f4ce1d49a6c4c0a23f",
"index": 5,
"amount": 300,
"name": "TestCollectv2 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "4fa94db3320f7991ca9d8e147edb4c3360e2ed14943dc3be25cab5d867ea0cf9",
"index": 6,
"amount": 100,
"name": "Test for the Collect APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "abe6382d2d9aae6631d054fa6d35900a91afadcce6a5f4c67cd5e9b2efc22c22",
"index": 7,
"amount": 100,
"name": "Test Rate APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "dafa6183e63be9f3d851086f120fcb2023d3a2111eccdcbcd61197c4c5575385",
"index": 8,
"amount": 2000,
"name": "Collect Test APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 9,
"amount": 3,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 10,
"amount": 995901,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7c7d5f3b37082d3e1a8b12218d8aaabef8396462baa3bb917c711efb2013c5ef",
"index": 11,
"amount": 2,
"name": "Timer Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cc28dcb36a9ce4b7bc9cc0b96599753ad7e26a5dfe2793ec68bf630562d382d4",
"index": 12,
"amount": 1,
"name": "base token testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "651b4b3ff7fe48286006987371ffcf5e982a613f397baecb7dbb629ec2f6407a",
"index": 13,
"amount": 2,
"name": "Test4 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b9c691c1b65e1ea372a972798c62ed4f5ad608ad796916a1eef78b6b077c3555",
"index": 14,
"amount": 1,
"name": "ContractTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a0cb60d4c43419ff8886fccbb23e8f9e10dd021e19f7e3468fd446e07510d70",
"index": 15,
"amount": 1,
"name": "Referral Testing APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c09f0667c27c6d72743bd432c0b3e75478b4a77be01acf986514b1e8fc149fd9",
"index": 16,
"amount": 1,
"name": "v1_2(Test) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b295aff7ac7d01ec17df0d2e78b1932a655419dc0fe2e7b0ab2eddffd96a9295",
"index": 17,
"amount": 4,
"name": "v1_2(modified) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001c2f445fd2b9501d1869120ed40f066dda62b42da5201d02cdbc8d4c1fa637",
"index": 18,
"amount": 1,
"name": "v1_2(M) APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "11b43569aaf96f0fe63c515978490db78cce75ef47ea252b55244d6dd076c452",
"index": 19,
"amount": 1,
"name": "v1_2 APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ee1e5b75a7a280f8b798188ebcc6080f00ffebcff97e3d8dfdf6ca7181b6bbdc",
"index": 20,
"amount": 2,
"name": "Test-M APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "65843b0b98184e94e8109377314918359540cb04bd4005488b49cef770480c86",
"index": 21,
"amount": 1,
"name": "Test project APT",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "13e58480b300d3478de44242f7e908555e65cad8b1fa010a6cf8224fe0d5cf67",
"index": 22,
"amount": 10,
"name": "Bene APT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "590abbd2efbf02522e4cbc8076e338003d22eb5fa55bf19a1925de61db50da0c",
"transactionId": "5b26bdb964417e61d3259fff7bb59876a89efad2a630f31bc56ebfc540a2953a",
"blockId": "c119dc70c6f25b338edd31bba8658af5a1dbf0f5095cda0b37bbe2800a0ea5b8",
"value": 1000000,
"index": 0,
"globalIndex": 49925548,
"creationHeight": 1607675,
"settlementHeight": 1607677,
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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: 0\n36: 0\n37: 1\n38: 127\n39: 3\n40: 2\n41: SigmaProp(ProveDlog(ECPoint(7f2658,f96bf6,...)))\n42: 1\n43: 0\n44: 0\n45: 100\n46: 2\n47: 1\n48: 1\n49: 0\n50: 1100000\n51: 0\n52: 1\n53: 0\n54: 1\n55: true\n56: 1\n57: 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)\n58: 2\n59: 2\n60: 3\n61: 0\n62: 0\n63: 0\n64: 0\n65: 0\n66: 0\n67: 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)\n68: 0\n69: 0\n70: 0\n71: 0\n72: 0\n73: 1\n74: false\n75: 1\n76: 0\n77: 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 = if (bool6) { l41 == l39 } else { l41 == l31 }\n val bool43 = l25 == l26\n val bool44 = l34 >= l12\n val func45 = {(tuple45: (SigmaProp, Box)) =>\n val coll47 = tuple45._2.propositionBytes\n val coll48 = tuple45._1.propBytes\n if (coll47(placeholder[Int](35)).toInt == placeholder[Int](36)) { coll47 == coll48 } else {(\n val i49 = coll47.size\n coll48.slice(placeholder[Int](37), coll48.size) == coll47.slice(\n if (i49 > placeholder[Int](38)) { placeholder[Int](39) } else { placeholder[Int](40) }, i49\n )\n )}\n }\n val prop46 = placeholder[SigmaProp](41)\n val bool47 = func45((prop46, OUTPUTS(if (bool14) { placeholder[Int](42) } else { placeholder[Int](43) })))\n val l48 = l41 * placeholder[Int](44).toLong / placeholder[Long](45)\n val i49 = if (bool14) { placeholder[Int](46) } else { placeholder[Int](47) }\n val i50 = if (bool14) { placeholder[Int](48) } else { placeholder[Int](49) }\n val l51 = l41 - l48\n val l52 = if (bool6) { l51 - placeholder[Int](50).toLong } else { l51 }\n val bool53 = l39 == l40\n val bool54 = allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool53, bool43))\n val l55 = if (bool23) { placeholder[Long](51) } else { coll9(placeholder[Int](52))._2 } - if (bool3) { placeholder[Long](53) } else {\n coll1(placeholder[Int](54))._2\n }\n val l56 = !l55\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](55) } else { coll1(placeholder[Int](56))._1 == placeholder[Coll[Byte]](57) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](58))\n } else { (bool3 || (i2 == placeholder[Int](59))) || (i2 == placeholder[Int](60)) }\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](61))\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](62))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool42 && bool3), bool36, bool19, bool22, bool43, bool24)), bool44, bool47, if ((\n ((l48 > placeholder[Long](63)) || (!bool42)) || (!bool3)\n ) && (OUTPUTS.size > i49)) {(\n val box57 = OUTPUTS(i49)\n allOf(Coll[Boolean](if (bool6) { box57.value == l48 } else {(\n val coll58 = box57.tokens.filter({(tuple58: (Coll[Byte], Long)) => tuple58._1 == coll5 })\n if (coll58.size > placeholder[Int](64)) { coll58(placeholder[Int](65))._2 } else { placeholder[Long](66) } == l48\n )}, placeholder[Coll[Byte]](67) == blake2b256(box57.propositionBytes)))\n )} else { ((l48 == placeholder[Long](68)) && bool42) && bool3 }, if (bool6) { OUTPUTS(i50).value == l52 } else {(\n val coll57 = OUTPUTS(i50).tokens.filter({(tuple57: (Coll[Byte], Long)) => tuple57._1 == coll5 })\n if (coll57.size > placeholder[Int](69)) { coll57(placeholder[Int](70))._2 } else { placeholder[Long](71) } == l52\n )}\n )\n ), allOf(Coll[Boolean](bool54, bool47, l55 < placeholder[Long](72), l56 <= l28)), if (INPUTS.size == placeholder[Int](73)) {\n placeholder[Boolean](74)\n } else { allOf(Coll[Boolean](bool54, func45((prop46, INPUTS(placeholder[Int](75)))), l55 > placeholder[Long](76))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool53 && bool3), bool36, bool19, bool53)), bool44, l37 == l21 - l20, allOf(\n Coll[Boolean](l37 == l56, l37 > placeholder[Long](77))\n )\n )\n )\n )\n )\n )\n}",
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{
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"index": 0,
"amount": 99999601,
"name": "UpdateCT APT",
"decimals": 2,
"type": "EIP-004"
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"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
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"R6": {
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SLong]",
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