Transaction
ID: 64d2736a21...498c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
70.00
Spent
Address:
Output transaction:
Settlement height:
Value:
0.06735 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
70.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.06625 ERG
Transaction Details
Confirmations: 291,826
Total coins transferred: 0.06835 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000462 ERG
Raw Transaction Data
{
"id": "64d2736a216bf581932534e708c6b13812fbc91a94df064d36aa2ec08adf498c",
"blockId": "4fd9b9d9e955bc0b70b893738d3706f836334475936fdb71eaa85768060b6df5",
"inclusionHeight": 1475402,
"timestamp": 1741245968030,
"index": 1,
"globalIndex": 8686635,
"numConfirmations": 291826,
"inputs": [
{
"boxId": "509281a7c89eec260d1155cc73846ddf499d2cfbcd1b9e215acf63a3bbda0287",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "cabedbe6c1603faabcdf718daba429187d7d934048f394a1242ae99c7901f9bc",
"outputTransactionId": "b3ba54fec007cd194112ac2c995cc69fbe22673b5acec51074c3180e5ab3bd9d",
"outputIndex": 0,
"outputGlobalIndex": 46716478,
"outputCreatedAt": 1475397,
"outputSettledAt": 1475399,
"ergoTree": "19c00833040204000400040004020404040204020404040405000402050004020402050004020400040204040400040004000400040204fe010406040408cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c004020404040a05c8010500040205000402010104020e20192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb50404050005000e2012f44e2cc16cedc1c94f91beca32d61a07e3c8118577041dd59afc6b1604a33704c0a38601050004020100040205000500d831d601db6308a7d602b17201d6039372027300d604b27201730100d605b2a5730200d606db63087205d607b27206730300d608e4c6a70404d609e4c6a70505d60ae4c6a70705d60b93c2a7c27205d60cb17206d60d93720c7304d60eededededededed938c7204018c720701937208e4c672050404937209e4c67205050593720ae4c67205070593e4c6a7080ee4c67205080e93e4c6a7090ee4c67205090e720bec720d93720c7305d60fe4c6a70611d610b2720f730600d611e4c672050611d612b27211730700d6139372107212d614b2720f730800d615b27211730900d6169372147215d61793957203730a8cb27201730b000295720d730c8cb27206730d0002d6188c720402d6198c720702d61a9972187219d61bdad9011b63d802d61ddb6308721bd61ee4c6721b06119a9a999593b1721d730e730f8cb2721d73100002b2721e731100b2721e731200b2721e73130001a7d61cc17205d61dc1a7d61eb27211731400d61fb2720f731500d62099721e721fd62193721f721ed6229972197218d6239972127210d62499721d721cd62595720b7224721dd6269372187219d62792721f7209d628d901284463d802d62ac28c722802d62bd08c72280195937eb2722a73160004731793722a722bd801d62cb1722a93b4722b7318b1722bb4722a9591722c7319731a731b722cd629731cd62ab2a5731d00d62bda72280186027229722ad62cb2a5731e00d62d9d9c72257e731f057320d62e93721d721cd62f96830601720e722172137216722e7226d6309995720d73218cb272067322000295720373238cb2720173240002d631f07230d1eded9572037325938cb27201732600017327ec72039372027328978306019683040196830401720e72137216721790721a721b9399721c721d9c721a720a9683020193721a722091722073299683040196830401720e722172167217ed91a372088f721f7209968302019372227223917223732a9372249c7222720a9683050196830601ec720eed937225721d7203722172137216722672177227722b9683020193c1722c722d93732bcbc2722c93c1722a99997225722d7e732c0596830401722f722b8f7230732d907231721b9593b1a4732e732f96830301722fda72280186027229b2a473300091723073319683040196830401ec720eed722e720372217213722e722793722299721572149683020193722272319172227332",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 2\n6: 1\n7: 1\n8: 2\n9: 2\n10: 0\n11: 1\n12: 0\n13: 1\n14: 1\n15: 0\n16: 1\n17: 0\n18: 1\n19: 2\n20: 0\n21: 0\n22: 0\n23: 0\n24: 1\n25: 127\n26: 3\n27: 2\n28: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n29: 1\n30: 2\n31: 5\n32: 100\n33: 0\n34: 1\n35: 0\n36: 1\n37: true\n38: 1\n39: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n40: 2\n41: 0\n42: 0\n43: 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)\n44: 1100000\n45: 0\n46: 1\n47: false\n48: 1\n49: 0\n50: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val i8 = SELF.R4[Int].get\n val l9 = SELF.R5[Long].get\n val l10 = SELF.R7[Long].get\n val bool11 = SELF.propositionBytes == box5.propositionBytes\n val i12 = coll6.size\n val bool13 = i12 == placeholder[Int](4)\n val bool14 = (\n (\n (\n ((((tuple4._1 == tuple7._1) && (i8 == box5.R4[Int].get)) && (l9 == box5.R5[Long].get)) && (l10 == box5.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool11\n ) && (bool13 || (i12 == placeholder[Int](5)))\n val coll15 = SELF.R6[Coll[Long]].get\n val l16 = coll15(placeholder[Int](6))\n val coll17 = box5.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](7))\n val bool19 = l16 == l18\n val l20 = coll15(placeholder[Int](8))\n val l21 = coll17(placeholder[Int](9))\n val bool22 = l20 == l21\n val bool23 = if (bool3) { placeholder[Long](10) } else { coll1(placeholder[Int](11))._2 } == if (bool13) { placeholder[Long](12) } else {\n coll6(placeholder[Int](13))._2\n }\n val l24 = tuple4._2\n val l25 = tuple7._2\n val l26 = l24 - l25\n val l27 = {(box27: Box) =>\n val coll29 = box27.tokens\n val coll30 = box27.R6[Coll[Long]].get\n if (coll29.size == placeholder[Int](14)) { placeholder[Long](15) } else { coll29(placeholder[Int](16))._2 } - coll30(placeholder[Int](17)) + coll30(\n placeholder[Int](18)\n ) + coll30(placeholder[Int](19))\n }(SELF)\n val l28 = box5.value\n val l29 = SELF.value\n val l30 = coll17(placeholder[Int](20))\n val l31 = coll15(placeholder[Int](21))\n val l32 = l30 - l31\n val bool33 = l31 == l30\n val l34 = l25 - l24\n val l35 = l18 - l16\n val l36 = l29 - l28\n val l37 = if (bool11) { l36 } else { l29 }\n val bool38 = l24 == l25\n val bool39 = l31 >= l9\n val func40 = {(tuple40: (SigmaProp, Box)) =>\n val coll42 = tuple40._2.propositionBytes\n val coll43 = tuple40._1.propBytes\n if (coll42(placeholder[Int](22)).toInt == placeholder[Int](23)) { coll42 == coll43 } else {(\n val i44 = coll42.size\n coll43.slice(placeholder[Int](24), coll43.size) == coll42.slice(\n if (i44 > placeholder[Int](25)) { placeholder[Int](26) } else { placeholder[Int](27) }, i44\n )\n )}\n }\n val prop41 = placeholder[SigmaProp](28)\n val box42 = OUTPUTS(placeholder[Int](29))\n val bool43 = func40((prop41, box42))\n val box44 = OUTPUTS(placeholder[Int](30))\n val l45 = l37 * placeholder[Int](31).toLong / placeholder[Long](32)\n val bool46 = l29 == l28\n val bool47 = allOf(Coll[Boolean](bool14, bool33, bool19, bool22, bool46, bool38))\n val l48 = if (bool13) { placeholder[Long](33) } else { coll6(placeholder[Int](34))._2 } - if (bool3) { placeholder[Long](35) } else {\n coll1(placeholder[Int](36))._2\n }\n val l49 = !l48\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](37) } else { coll1(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39) } && (bool3 || (i2 == placeholder[Int](40)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool23)), l26 <= l27, l28 - l29 == l26 * l10, allOf(\n Coll[Boolean](l26 == l32, l32 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool33, bool22, bool23)), (HEIGHT > i8) && (l31 < l9), allOf(\n Coll[Boolean](l34 == l35, l35 > placeholder[Long](42))\n ), l36 == l34 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || ((l37 == l29) && bool3), bool33, bool19, bool22, bool38, bool23)), bool39, bool43, allOf(\n Coll[Boolean](box44.value == l45, placeholder[Coll[Byte]](43) == blake2b256(box44.propositionBytes))\n ), box42.value == l37 - l45 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool47, bool43, l48 < placeholder[Long](45), l49 <= l27)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool47, func40((prop41, INPUTS(placeholder[Int](48)))), l48 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool46 && bool3), bool33, bool19, bool46)), bool39, l34 == l21 - l20, allOf(\n Coll[Boolean](l34 == l49, l34 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "aa24aadc4659a62aed51535da943e4c7440cdbad03c5e8ea14946379b3971448",
"index": 0,
"amount": 7000001,
"name": "Test 1 - V1.1 APT",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05a09c01",
"sigmaType": "SLong",
"renderedValue": "10000"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f776e6572223a223968563562746d57565672387341667033696d3141385a6638416b643248734a74526b55695643764577724555756f33385637222c226465765f61646472223a2267724e63676866536754537a546b7462325a416b3178714b79423634466d6b4b4b7051444c46675551707a6d4369424379565953396231364355684b3959474b79544a3575693545675977464477416f75546b50507231347853377455436e484c353975513173626264356559696442677335544232656139696a4e6459395a5050667638597642735172337a335976337946595956747a6372646448444d6d553278397550395a4576796f486d55326a544c6d3155726b794d4e3243675265536e6975506b696e32534b55583157666a595642646f5563533966374b535157783832357048566355465a627a69783261486b467972714c644a4747596f767862527452337233465831444d374839353363526e64704c565537556562507563564a65554c45633273706244795874776365556159516231706a76476d7174675355466852624b66473754484e554d78797541514c70364d6b424475446e7a3635766e4165694568746779644278654c53525773474b733558557648703633637a5546654262676773536775623956724e687a566b655a50416e476969506d543353635833374b4674334c506d587837616847545434426367364c7a56666738314771383968444c6e57617776724a6b68797039314b684e6b5138756b70714a724269336b4c63754873413861594c4c426f37694c5577786259797936665376785a6173794b4c573734726875667454514a5262533877327950384a4d6a414d65414150222c226465765f68617368223a2231326634346532636331366365646331633934663931626563613332643631613037653363383131383537373034316464353961666336623136303461333337222c226465765f666565223a352c22746f6b656e5f6964223a2231393261336236613366306665633232393031376435643763616633636134383466366632353461643835376637666566666561326538326239333637656235227d"
},
"R7": {
"serializedValue": "05c801",
"sigmaType": "SLong",
"renderedValue": "100"
},
"R9": {
"serializedValue": "0e437b227469746c65223a22546573742031202d2056312e31222c226465736372697074696f6e223a2274657374222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a22546573742031202d2056312e31222c226465736372697074696f6e223a2274657374222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "04f8f6b801",
"sigmaType": "SInt",
"renderedValue": "1514940"
}
}
},
{
"boxId": "742ea2ba366e05df1a990b1f09f63765ee14b08cfc1b5b80c1d2a009c0146d66",
"value": 67350000,
"index": 1,
"spendingProof": "9ceefc19d11c80b00d2b26c18dd67b7956729c8d6af473b19e9b806298d040717018f80b41605256d45e7216ce6f4a85181d8ab7f7fe432a",
"outputBlockId": "1e7b62543ebba1cc20a040ea4d5edfe00f2f06a0329760e7cdb53f5672c67213",
"outputTransactionId": "686621863e6cb8f5428223bf9acf625c597f3a923debee26fdaae317f994f836",
"outputIndex": 2,
"outputGlobalIndex": 46716043,
"outputCreatedAt": 1475372,
"outputSettledAt": 1475376,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
"assets": [
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 0,
"amount": 452301,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
"index": 1,
"amount": 100000,
"name": "BeneSpace",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "696334f8d58ebd0bf9b3df0877d395fbdd9d1b4abe73ad0c7037843da04b1eb4",
"transactionId": "64d2736a216bf581932534e708c6b13812fbc91a94df064d36aa2ec08adf498c",
"blockId": "4fd9b9d9e955bc0b70b893738d3706f836334475936fdb71eaa85768060b6df5",
"value": 1000000,
"index": 0,
"globalIndex": 46716578,
"creationHeight": 1475399,
"settlementHeight": 1475402,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 2\n6: 1\n7: 1\n8: 2\n9: 2\n10: 0\n11: 1\n12: 0\n13: 1\n14: 1\n15: 0\n16: 1\n17: 0\n18: 1\n19: 2\n20: 0\n21: 0\n22: 0\n23: 0\n24: 1\n25: 127\n26: 3\n27: 2\n28: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n29: 1\n30: 2\n31: 5\n32: 100\n33: 0\n34: 1\n35: 0\n36: 1\n37: true\n38: 1\n39: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n40: 2\n41: 0\n42: 0\n43: 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)\n44: 1100000\n45: 0\n46: 1\n47: false\n48: 1\n49: 0\n50: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val i8 = SELF.R4[Int].get\n val l9 = SELF.R5[Long].get\n val l10 = SELF.R7[Long].get\n val bool11 = SELF.propositionBytes == box5.propositionBytes\n val i12 = coll6.size\n val bool13 = i12 == placeholder[Int](4)\n val bool14 = (\n (\n (\n ((((tuple4._1 == tuple7._1) && (i8 == box5.R4[Int].get)) && (l9 == box5.R5[Long].get)) && (l10 == box5.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool11\n ) && (bool13 || (i12 == placeholder[Int](5)))\n val coll15 = SELF.R6[Coll[Long]].get\n val l16 = coll15(placeholder[Int](6))\n val coll17 = box5.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](7))\n val bool19 = l16 == l18\n val l20 = coll15(placeholder[Int](8))\n val l21 = coll17(placeholder[Int](9))\n val bool22 = l20 == l21\n val bool23 = if (bool3) { placeholder[Long](10) } else { coll1(placeholder[Int](11))._2 } == if (bool13) { placeholder[Long](12) } else {\n coll6(placeholder[Int](13))._2\n }\n val l24 = tuple4._2\n val l25 = tuple7._2\n val l26 = l24 - l25\n val l27 = {(box27: Box) =>\n val coll29 = box27.tokens\n val coll30 = box27.R6[Coll[Long]].get\n if (coll29.size == placeholder[Int](14)) { placeholder[Long](15) } else { coll29(placeholder[Int](16))._2 } - coll30(placeholder[Int](17)) + coll30(\n placeholder[Int](18)\n ) + coll30(placeholder[Int](19))\n }(SELF)\n val l28 = box5.value\n val l29 = SELF.value\n val l30 = coll17(placeholder[Int](20))\n val l31 = coll15(placeholder[Int](21))\n val l32 = l30 - l31\n val bool33 = l31 == l30\n val l34 = l25 - l24\n val l35 = l18 - l16\n val l36 = l29 - l28\n val l37 = if (bool11) { l36 } else { l29 }\n val bool38 = l24 == l25\n val bool39 = l31 >= l9\n val func40 = {(tuple40: (SigmaProp, Box)) =>\n val coll42 = tuple40._2.propositionBytes\n val coll43 = tuple40._1.propBytes\n if (coll42(placeholder[Int](22)).toInt == placeholder[Int](23)) { coll42 == coll43 } else {(\n val i44 = coll42.size\n coll43.slice(placeholder[Int](24), coll43.size) == coll42.slice(\n if (i44 > placeholder[Int](25)) { placeholder[Int](26) } else { placeholder[Int](27) }, i44\n )\n )}\n }\n val prop41 = placeholder[SigmaProp](28)\n val box42 = OUTPUTS(placeholder[Int](29))\n val bool43 = func40((prop41, box42))\n val box44 = OUTPUTS(placeholder[Int](30))\n val l45 = l37 * placeholder[Int](31).toLong / placeholder[Long](32)\n val bool46 = l29 == l28\n val bool47 = allOf(Coll[Boolean](bool14, bool33, bool19, bool22, bool46, bool38))\n val l48 = if (bool13) { placeholder[Long](33) } else { coll6(placeholder[Int](34))._2 } - if (bool3) { placeholder[Long](35) } else {\n coll1(placeholder[Int](36))._2\n }\n val l49 = !l48\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](37) } else { coll1(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39) } && (bool3 || (i2 == placeholder[Int](40)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool23)), l26 <= l27, l28 - l29 == l26 * l10, allOf(\n Coll[Boolean](l26 == l32, l32 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool33, bool22, bool23)), (HEIGHT > i8) && (l31 < l9), allOf(\n Coll[Boolean](l34 == l35, l35 > placeholder[Long](42))\n ), l36 == l34 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || ((l37 == l29) && bool3), bool33, bool19, bool22, bool38, bool23)), bool39, bool43, allOf(\n Coll[Boolean](box44.value == l45, placeholder[Coll[Byte]](43) == blake2b256(box44.propositionBytes))\n ), box42.value == l37 - l45 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool47, bool43, l48 < placeholder[Long](45), l49 <= l27)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool47, func40((prop41, INPUTS(placeholder[Int](48)))), l48 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool46 && bool3), bool33, bool19, bool46)), bool39, l34 == l21 - l20, allOf(\n Coll[Boolean](l34 == l49, l34 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
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"name": "Test 1 - V1.1 APT",
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"sigmaType": "SLong",
"renderedValue": "10000"
},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
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"R7": {
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"sigmaType": "SLong",
"renderedValue": "100"
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"R9": {
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"renderedValue": "7b227469746c65223a22546573742031202d2056312e31222c226465736372697074696f6e223a2274657374222c22696d616765223a22222c226c696e6b223a22227d"
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"R4": {
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"sigmaType": "SInt",
"renderedValue": "1514940"
}
},
"spentTransactionId": "7dabf2d69bc98492d8d9ec7602d5e531287d5713353fae09d0985e8c91179a37",
"mainChain": true
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{
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"transactionId": "64d2736a216bf581932534e708c6b13812fbc91a94df064d36aa2ec08adf498c",
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"index": 1,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"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)}",
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"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
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}