Transaction
ID: bb70609822...492e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.019 ERG
Tokens:
0
70.00
Spent
Address:
Output transaction:
Settlement height:
Value:
0.47845 ERG
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.01901 ERG
Tokens:
0
70
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.47634 ERG
Transaction Details
Confirmations: 292,289
Total coins transferred: 0.49745 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000437 ERG
Raw Transaction Data
{
"id": "bb70609822b984ab4fb562b4ea501b9f073fd534b63b3a9ce4e27fa03a28492e",
"blockId": "1e0764b190bdd5b02a9c7ec2a31f6f9156b77c2518919cae4ead522b248f94a0",
"inclusionHeight": 1472056,
"timestamp": 1740845411554,
"index": 2,
"globalIndex": 8654182,
"numConfirmations": 292289,
"inputs": [
{
"boxId": "9c64b40d0f8aa2cdf238d2db8fce65caee65fb85dcde62e45e0b03a7423a7008",
"value": 19000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "cac8e82e2f70f03c54ef78873ca98e32d572d16cc26b203d55727ced80e678d4",
"outputTransactionId": "d9b30af33340a3ccc4df4ef3984ea45de923a014f40256fbd844d9984a9b5bf7",
"outputIndex": 0,
"outputGlobalIndex": 46583228,
"outputCreatedAt": 1472049,
"outputSettledAt": 1472051,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 127\n27: 3\n28: 2\n29: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n30: 1\n31: 2\n32: 5\n33: 100\n34: 0\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 tuple14 = coll6(placeholder[Int](5))\n val bool15 = (\n (\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 ) && anyOf(Coll[Boolean](bool13, tuple14._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool13 || (i12 == placeholder[Int](7)))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](8))\n val coll18 = box5.R6[Coll[Long]].get\n val l19 = coll18(placeholder[Int](9))\n val bool20 = l17 == l19\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll18(placeholder[Int](11))\n val bool23 = l21 == l22\n val l24 = tuple14._2\n val bool25 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool13) { placeholder[Long](14) } else { l24 }\n val l26 = tuple4._2\n val l27 = tuple7._2\n val l28 = l26 - l27\n val l29 = {(box29: Box) =>\n val coll31 = box29.tokens\n val coll32 = box29.R6[Coll[Long]].get\n if (coll31.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll31(placeholder[Int](17))._2 } - coll32(placeholder[Int](18)) + coll32(\n placeholder[Int](19)\n ) + coll32(placeholder[Int](20))\n }(SELF)\n val l30 = box5.value\n val l31 = SELF.value\n val l32 = coll18(placeholder[Int](21))\n val l33 = coll16(placeholder[Int](22))\n val l34 = l32 - l33\n val bool35 = l33 == l32\n val l36 = l27 - l26\n val l37 = l19 - l17\n val l38 = l31 - l30\n val l39 = if (bool11) { l38 } else { l31 }\n val bool40 = l26 == l27\n val bool41 = l33 >= l9\n val func42 = {(tuple42: (SigmaProp, Box)) =>\n val coll44 = tuple42._2.propositionBytes\n val coll45 = tuple42._1.propBytes\n if (coll44(placeholder[Int](23)).toInt == placeholder[Int](24)) { coll44 == coll45 } else {(\n val i46 = coll44.size\n coll45.slice(placeholder[Int](25), coll45.size) == coll44.slice(\n if (i46 > placeholder[Int](26)) { placeholder[Int](27) } else { placeholder[Int](28) }, i46\n )\n )}\n }\n val prop43 = placeholder[SigmaProp](29)\n val box44 = OUTPUTS(placeholder[Int](30))\n val bool45 = func42((prop43, box44))\n val box46 = OUTPUTS(placeholder[Int](31))\n val l47 = l39 * placeholder[Int](32).toLong / placeholder[Long](33)\n val bool48 = l31 == l30\n val bool49 = allOf(Coll[Boolean](bool15, bool35, bool20, bool23, bool48, bool40))\n val l50 = if (bool13) { placeholder[Long](34) } else { l24 } - if (bool3) { placeholder[Long](35) } else { coll1(placeholder[Int](36))._2 }\n val l51 = !l50\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](bool15, bool20, bool23, bool25)), l28 <= l29, l30 - l31 == l28 * l10, allOf(\n Coll[Boolean](l28 == l34, l34 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool35, bool23, bool25)), (HEIGHT > i8) && (l33 < l9), allOf(\n Coll[Boolean](l36 == l37, l37 > placeholder[Long](42))\n ), l38 == l36 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || ((l39 == l31) && bool3), bool35, bool20, bool23, bool40, bool25)), bool41, bool45, allOf(\n Coll[Boolean](box46.value == l47, placeholder[Coll[Byte]](43) == blake2b256(box46.propositionBytes))\n ), box44.value == l39 - l47 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool49, bool45, l50 < placeholder[Long](45), l51 <= l29)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool49, func42((prop43, INPUTS(placeholder[Int](48)))), l50 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || (bool48 && bool3), bool35, bool20, bool48)), bool41, l36 == l22 - l21, allOf(\n Coll[Boolean](l36 == l51, l36 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "2b51d81de04d8bd5a8065c1ec1845bab950b2c8f5b7c84fc5b2910c0fc88a0c8",
"index": 0,
"amount": 7000001,
"name": "TEST V1 APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 1,
"amount": 1,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103d8bd0600d8bd06",
"sigmaType": "Coll[SLong]",
"renderedValue": "[53100,0,53100]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05a09c01",
"sigmaType": "SLong",
"renderedValue": "10000"
},
"R9": {
"serializedValue": "0eb1017b227469746c65223a2254455354205631222c226465736372697074696f6e223a22222c22696d616765223a2268747470733a2f2f7777772e677265656e64726976652d6163636573736f726965732e636f6d2f626c6f672f77702d636f6e74656e742f75706c6f6164732f323032342f30332f5370616365582d53746172736869702d5265766f6c7574696f6e697a696e672d53706163652d54726176656c2e6a706567222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254455354205631222c226465736372697074696f6e223a22222c22696d616765223a2268747470733a2f2f7777772e677265656e64726976652d6163636573736f726965732e636f6d2f626c6f672f77702d636f6e74656e742f75706c6f6164732f323032342f30332f5370616365582d53746172736869702d5265766f6c7574696f6e697a696e672d53706163652d54726176656c2e6a706567222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "048cdaad01",
"sigmaType": "SInt",
"renderedValue": "1422982"
}
}
},
{
"boxId": "4a86b05d4d6c834d19b5eebdc6dc55d20130bf222e1428df512a7f3d856148dd",
"value": 478450000,
"index": 1,
"spendingProof": "e8fe5f0c51a6286513b7cc979a29463a218c57f1752fcfe087f1d82845247c7c37db24894fc6cf93c7a9db6d799a316167e4c42629692f73",
"outputBlockId": "195b8112c023b83c9592563d33775c587891918893c02cdd0b8f6782d7d4899c",
"outputTransactionId": "aaaf844ad8d7d9208680cc05d23a720b2ea3cd08b989c31110c019ea935de282",
"outputIndex": 2,
"outputGlobalIndex": 46583045,
"outputCreatedAt": 1472043,
"outputSettledAt": 1472045,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "3392578c2f3fc77ae53c5b1a6e7d804b66cdda8eca86ff648f23c30492484413",
"transactionId": "bb70609822b984ab4fb562b4ea501b9f073fd534b63b3a9ce4e27fa03a28492e",
"blockId": "1e0764b190bdd5b02a9c7ec2a31f6f9156b77c2518919cae4ead522b248f94a0",
"value": 19010000,
"index": 0,
"globalIndex": 46583253,
"creationHeight": 1472054,
"settlementHeight": 1472056,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 127\n27: 3\n28: 2\n29: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n30: 1\n31: 2\n32: 5\n33: 100\n34: 0\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 tuple14 = coll6(placeholder[Int](5))\n val bool15 = (\n (\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 ) && anyOf(Coll[Boolean](bool13, tuple14._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool13 || (i12 == placeholder[Int](7)))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](8))\n val coll18 = box5.R6[Coll[Long]].get\n val l19 = coll18(placeholder[Int](9))\n val bool20 = l17 == l19\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll18(placeholder[Int](11))\n val bool23 = l21 == l22\n val l24 = tuple14._2\n val bool25 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool13) { placeholder[Long](14) } else { l24 }\n val l26 = tuple4._2\n val l27 = tuple7._2\n val l28 = l26 - l27\n val l29 = {(box29: Box) =>\n val coll31 = box29.tokens\n val coll32 = box29.R6[Coll[Long]].get\n if (coll31.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll31(placeholder[Int](17))._2 } - coll32(placeholder[Int](18)) + coll32(\n placeholder[Int](19)\n ) + coll32(placeholder[Int](20))\n }(SELF)\n val l30 = box5.value\n val l31 = SELF.value\n val l32 = coll18(placeholder[Int](21))\n val l33 = coll16(placeholder[Int](22))\n val l34 = l32 - l33\n val bool35 = l33 == l32\n val l36 = l27 - l26\n val l37 = l19 - l17\n val l38 = l31 - l30\n val l39 = if (bool11) { l38 } else { l31 }\n val bool40 = l26 == l27\n val bool41 = l33 >= l9\n val func42 = {(tuple42: (SigmaProp, Box)) =>\n val coll44 = tuple42._2.propositionBytes\n val coll45 = tuple42._1.propBytes\n if (coll44(placeholder[Int](23)).toInt == placeholder[Int](24)) { coll44 == coll45 } else {(\n val i46 = coll44.size\n coll45.slice(placeholder[Int](25), coll45.size) == coll44.slice(\n if (i46 > placeholder[Int](26)) { placeholder[Int](27) } else { placeholder[Int](28) }, i46\n )\n )}\n }\n val prop43 = placeholder[SigmaProp](29)\n val box44 = OUTPUTS(placeholder[Int](30))\n val bool45 = func42((prop43, box44))\n val box46 = OUTPUTS(placeholder[Int](31))\n val l47 = l39 * placeholder[Int](32).toLong / placeholder[Long](33)\n val bool48 = l31 == l30\n val bool49 = allOf(Coll[Boolean](bool15, bool35, bool20, bool23, bool48, bool40))\n val l50 = if (bool13) { placeholder[Long](34) } else { l24 } - if (bool3) { placeholder[Long](35) } else { coll1(placeholder[Int](36))._2 }\n val l51 = !l50\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](bool15, bool20, bool23, bool25)), l28 <= l29, l30 - l31 == l28 * l10, allOf(\n Coll[Boolean](l28 == l34, l34 > placeholder[Long](41))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15, bool35, bool23, bool25)), (HEIGHT > i8) && (l33 < l9), allOf(\n Coll[Boolean](l36 == l37, l37 > placeholder[Long](42))\n ), l38 == l36 * l10\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || ((l39 == l31) && bool3), bool35, bool20, bool23, bool40, bool25)), bool41, bool45, allOf(\n Coll[Boolean](box46.value == l47, placeholder[Coll[Byte]](43) == blake2b256(box46.propositionBytes))\n ), box44.value == l39 - l47 - placeholder[Int](44).toLong\n )\n ), allOf(Coll[Boolean](bool49, bool45, l50 < placeholder[Long](45), l51 <= l29)), if (INPUTS.size == placeholder[Int](46)) {\n placeholder[Boolean](47)\n } else { allOf(Coll[Boolean](bool49, func42((prop43, INPUTS(placeholder[Int](48)))), l50 > placeholder[Long](49))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool15 || (bool48 && bool3), bool35, bool20, bool48)), bool41, l36 == l22 - l21, allOf(\n Coll[Boolean](l36 == l51, l36 > placeholder[Long](50))\n )\n )\n )\n )\n )\n )\n}",
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"assets": [
{
"tokenId": "2b51d81de04d8bd5a8065c1ec1845bab950b2c8f5b7c84fc5b2910c0fc88a0c8",
"index": 0,
"amount": 7000000,
"name": "TEST V1 APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 1,
"amount": 1,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103dabd0600d8bd06",
"sigmaType": "Coll[SLong]",
"renderedValue": "[53101,0,53100]"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05a09c01",
"sigmaType": "SLong",
"renderedValue": "10000"
},
"R9": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254455354205631222c226465736372697074696f6e223a22222c22696d616765223a2268747470733a2f2f7777772e677265656e64726976652d6163636573736f726965732e636f6d2f626c6f672f77702d636f6e74656e742f75706c6f6164732f323032342f30332f5370616365582d53746172736869702d5265766f6c7574696f6e697a696e672d53706163652d54726176656c2e6a706567222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "048cdaad01",
"sigmaType": "SInt",
"renderedValue": "1422982"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "a6e4b43b989189503580f8e4f105a804138b47fd6925c7c849bb1e9011d73745",
"transactionId": "bb70609822b984ab4fb562b4ea501b9f073fd534b63b3a9ce4e27fa03a28492e",
"blockId": "1e0764b190bdd5b02a9c7ec2a31f6f9156b77c2518919cae4ead522b248f94a0",
"value": 1000000,
"index": 1,
"globalIndex": 46583254,
"creationHeight": 1472054,
"settlementHeight": 1472056,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "TEST V1 APT",
"decimals": 5,
"type": "EIP-004"
}
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"additionalRegisters": {},
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},
{
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"transactionId": "bb70609822b984ab4fb562b4ea501b9f073fd534b63b3a9ce4e27fa03a28492e",
"blockId": "1e0764b190bdd5b02a9c7ec2a31f6f9156b77c2518919cae4ead522b248f94a0",
"value": 1100000,
"index": 2,
"globalIndex": 46583255,
"creationHeight": 1472054,
"settlementHeight": 1472056,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7aed1520ebf5f53099050021319303027ea390a54c58c2717504981cc90e7699",
"mainChain": true
},
{
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