Transaction
ID: 07e8a047ff...a711
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.201 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.2 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1815 ERG
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.06 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.04 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.099 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1815 ERG
Transaction Details
Confirmations: 27,540
Total coins transferred: 0.5825 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001533 ERG
Raw Transaction Data
{
"id": "07e8a047ff041be112c471ae908a8f52e7c977c2c73610fe9df2811be1cba711",
"blockId": "a1ed6be9ea76dad83a7e411ad2e85d04673732e33f81e6af3c367410574729fe",
"inclusionHeight": 1736050,
"timestamp": 1772803667538,
"index": 12,
"globalIndex": 10405194,
"numConfirmations": 27540,
"inputs": [
{
"boxId": "42c50169b07c6983ce8e5ff2f9a98ac17db9d6db5a17d06484fd2b7e50dd5c00",
"value": 201000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "012a08376590493622e2634b0e95cd5a536fe5bb25a223ad345b3b55abe1fd3c",
"outputTransactionId": "4b6006ee9c17062303524d66a4bfc3a8d1af8cba421686e9072f787b5008ea8b",
"outputIndex": 0,
"outputGlobalIndex": 53980036,
"outputCreatedAt": 1736017,
"outputSettledAt": 1736018,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 40\n7: 48\n8: 1\n9: 40\n10: 48\n11: 0\n12: 1\n13: 0\n14: 0\n15: 0\n16: 0\n17: 1\n18: 50\n19: 86\n20: true\n21: 0\n22: 2200000\n23: 0\n24: 0\n25: 1\n26: 2\n27: 3\n28: 4\n29: 5\n30: 6\n31: 7\n32: 8\n33: 9\n34: 10\n35: 32\n36: 2\n37: 1\n38: 256\n39: 0\n40: 256\n41: 0\n42: 1\n43: 1\n44: 2\n45: 3\n46: 4\n47: 5\n48: 6\n49: 7\n50: 8000\n51: 10\n52: 100\n53: 21\n54: 0\n55: 32\n56: 32\n57: 64\n58: 0\n59: 32\n60: 0\n61: 8\n62: 0\n63: 1\n64: 2\n65: 3\n66: 4\n67: 5\n68: 6\n69: 7\n70: 10000\n71: 8\n72: 50\n73: 100\n74: 8000\n75: 9\n76: 25\n77: 100\n78: 100000000\n79: 10000\n80: 3000\n81: 0\n82: 1\n83: 2\n84: 3\n85: 4\n86: 5\n87: 6\n88: 0\n89: -9223372036854775808\n90: 20001\n91: 10000\n92: 10000\n93: 10000\n94: 32\n95: 40\n96: 50\n97: 86\n98: 4\n99: 12",
"ergoTreeScript": "{\n val l1 = SELF.R6[Long].get\n val coll2 = SELF.R7[Coll[Coll[Byte]]].get\n val coll3 = SELF.R4[Coll[Long]].get\n if (getVar[Int](0.toByte).get == placeholder[Int](0)) {(\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = getVar[Coll[Byte]](2.toByte).get\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = getVar[Coll[Coll[Byte]]](5.toByte).get\n val i8 = getVar[Int](3.toByte).get\n val coll9 = getVar[Coll[Coll[Byte]]](6.toByte).get\n val coll10 = coll7.slice(i8, coll7.size).zip(coll9.slice(i8, coll9.size))\n val avlTree11 = box4.R5[AvlTree].get\n val avlTree12 = if (i8 > placeholder[Int](3)) {\n avlTree11.insert(coll7.slice(placeholder[Int](4), i8).zip(coll9.slice(placeholder[Int](5), i8)), getVar[Coll[Byte]](1.toByte).get).get\n } else { avlTree11 }\n val coll13 = coll2.map({(coll13: Coll[Byte]) => byteArrayToLong(coll13.slice(placeholder[Int](6), placeholder[Int](7))) })\n val box14 = OUTPUTS(\n placeholder[Int](8) + coll2.map(\n {(coll14: Coll[Byte]) =>\n if (byteArrayToLong(coll14.slice(placeholder[Int](9), placeholder[Int](10))) > placeholder[Long](11)) { placeholder[Int](12) } else {\n placeholder[Int](13)\n }\n }\n ).fold(placeholder[Int](14), {(tuple14: (Int, Int)) => tuple14._1 + tuple14._2 })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((HEIGHT.toLong >= l1) && box4.tokens.exists({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll5 })) && (\n box6.propositionBytes == box4.propositionBytes\n )\n ) && (box6.value >= box4.value)\n ) && box6.tokens.exists({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll5 })\n ) && (box6.R4[Coll[Long]].get == box4.R4[Coll[Long]].get)\n ) && (box6.R6[Coll[Coll[Long]]].get == box4.R6[Coll[Coll[Long]]].get)\n ) && (box6.R7[Coll[Coll[Long]]].get == box4.R7[Coll[Coll[Long]]].get)\n ) && (box6.R8[Coll[Coll[Long]]].get == box4.R8[Coll[Coll[Long]]].get)\n ) && (box6.R9[Coll[Long]].get == box4.R9[Coll[Long]].get)\n ) && (\n box6.R5[AvlTree].get.digest == if (coll10.size > placeholder[Int](15)) { avlTree12.update(coll10, getVar[Coll[Byte]](4.toByte).get).get } else {\n avlTree12\n }.digest\n )\n ) && coll2.indices.forall({(i15: Int) =>\n val l17 = coll13(i15)\n if (l17 > placeholder[Long](16)) {(\n val box18 = OUTPUTS(placeholder[Int](17) + i15)\n (box18.propositionBytes == coll2(i15).slice(placeholder[Int](18), placeholder[Int](19))) && (box18.value >= l17)\n )} else { placeholder[Boolean](20) }\n })\n ) && (\n (box14.propositionBytes == SELF.R8[Coll[Byte]].get) && (\n box14.value >= SELF.value - coll13.fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) - placeholder[Long](22)\n )\n )\n )\n )} else {(\n val box4 = CONTEXT.dataInputs(placeholder[Int](23))\n val i5 = getVar[Int](1.toByte).get\n val coll6 = SELF.R5[Coll[Coll[Byte]]].get(i5)\n val coll7 = Coll[Int](\n placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](27), placeholder[Int](28), placeholder[Int](29), placeholder[Int](\n 30\n ), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](34)\n ).map({(i7: Int) =>\n val i9 = placeholder[Int](35) + i7 * placeholder[Int](36)\n val l10 = coll6(i9 + placeholder[Int](37)).toLong\n coll6(i9).toLong * placeholder[Long](38) + if (l10 < placeholder[Long](39)) { l10 + placeholder[Long](40) } else { l10 }\n })\n val l8 = coll7(placeholder[Int](41))\n val coll9 = box4.R8[Coll[Coll[Long]]].get(coll3(placeholder[Int](42)).toInt)\n val l10 = coll7(placeholder[Int](43))\n val l11 = coll7(placeholder[Int](44))\n val l12 = coll7(placeholder[Int](45))\n val l13 = coll7(placeholder[Int](46))\n val l14 = coll7(placeholder[Int](47))\n val l15 = coll7(placeholder[Int](48))\n val l16 = coll7(placeholder[Int](49))\n val l17 = placeholder[Long](50) + coll7(placeholder[Int](51)) * placeholder[Long](52)\n val coll18 = box4.R4[Coll[Long]].get\n val l19 = coll18(placeholder[Int](53))\n val coll20 = SELF.R9[Coll[Byte]].get\n val l21 = byteArrayToLong(\n blake2b256(\n coll20.slice(placeholder[Int](54), placeholder[Int](55)).append(coll20.slice(placeholder[Int](56), placeholder[Int](57))).append(\n coll6.slice(placeholder[Int](58), placeholder[Int](59))\n )\n ).slice(placeholder[Int](60), placeholder[Int](61))\n )\n val box22 = OUTPUTS(coll2.size)\n sigmaProp(\n (\n (\n ((HEIGHT.toLong < l1) && box4.tokens.exists({(tuple23: (Coll[Byte], Long)) => tuple23._1 == getVar[Coll[Byte]](2.toByte).get })) && (\n l8 * coll9(placeholder[Int](62)) + l10 * coll9(placeholder[Int](63)) + l11 * coll9(placeholder[Int](64)) + l12 * coll9(\n placeholder[Int](65)\n ) + l13 * coll9(placeholder[Int](66)) + l14 * coll9(placeholder[Int](67)) + l15 * coll9(placeholder[Int](68)) + l16 * coll9(\n placeholder[Int](69)\n ) * placeholder[Long](70) - coll7(placeholder[Int](71)) * placeholder[Long](72) / placeholder[Long](73) * placeholder[Long](74) + coll7(\n placeholder[Int](75)\n ) * placeholder[Long](76) / placeholder[Long](77) / placeholder[Long](78) * placeholder[Long](79) + placeholder[Long](\n 80\n ) * l17 - if (l19 == placeholder[Long](81)) { l8 } else {\n if (l19 == placeholder[Long](82)) { l10 } else {\n if (l19 == placeholder[Long](83)) { l11 } else {\n if (l19 == placeholder[Long](84)) { l12 } else {\n if (l19 == placeholder[Long](85)) { l13 } else {\n if (l19 == placeholder[Long](86)) { l14 } else { if (l19 == placeholder[Long](87)) { l15 } else { l16 } }\n }\n }\n }\n }\n } / l17 * if (l21 >= placeholder[Long](88)) { l21 } else { l21 - placeholder[Long](89) } % placeholder[Long](90) - placeholder[Long](\n 91\n ) / placeholder[Long](92) / placeholder[Long](93) != byteArrayToLong(coll2(i5).slice(placeholder[Int](94), placeholder[Int](95)))\n )\n ) && coll2.indices.forall({(i23: Int) =>\n val box25 = OUTPUTS(i23)\n (box25.propositionBytes == coll2(i23).slice(placeholder[Int](96), placeholder[Int](97))) && (box25.value >= coll3(placeholder[Int](98)))\n })\n ) && ((box22.propositionBytes == getVar[Coll[Byte]](3.toByte).get) && (box22.value >= coll18(placeholder[Int](99))))\n )\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "05e0f5d301",
"sigmaType": "SLong",
"renderedValue": "1736048"
},
"R8": {
"serializedValue": "0e240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R7": {
"serializedValue": "1a0256deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef0000000000005371000000000393870000070008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a56cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000db50000000002625a0000050008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef0000000000005371000000000393870000070008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000db50000000002625a0000050008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
},
"R9": {
"serializedValue": "0e4009501f796beb3bab732f517d7c6c5956c05829b9680b4b2bf91a5f2de48f19d6533cf27bb55978eecb9c2f3396fdc58d84d56e44372b589fba852b71a274823a",
"sigmaType": "Coll[SByte]",
"renderedValue": "09501f796beb3bab732f517d7c6c5956c05829b9680b4b2bf91a5f2de48f19d6533cf27bb55978eecb9c2f3396fdc58d84d56e44372b589fba852b71a274823a"
},
"R4": {
"serializedValue": "1107bdeaadbb9fc794c62e00289ef5d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-1677073115700902559,0,20,1736015,50000000,0,0]"
}
}
},
{
"boxId": "3530022f69910b522b96e2b4cd442d13b65aa9603d2e0c9fe35f29b521b5cdfe",
"value": 200000000,
"index": 1,
"spendingProof": "f69e840131ca66d7dbcb63678ac2d35ebb901ea520deca7acba491661b31c83e5bed22c4e34d779702bd69e3d9b0f49bffd0189f54a7de9a",
"outputBlockId": "32de2170b7ec21d2797a45783c071e67f527c747b10216a0433ba60ed98eacac",
"outputTransactionId": "8af03441b4596d210f9a6451ee05e487bfa815e1730ba2433062c6a299ed626e",
"outputIndex": 0,
"outputGlobalIndex": 53979809,
"outputCreatedAt": 1736004,
"outputSettledAt": 1736005,
"ergoTree": "1896020c08cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a040204000400041804160400040204040580897a040e0500d803d6017ea305d602e4c6a70411d603730095927201b27202730100d802d604b2a5730200d6058cb2db6308a7730300019593c27204c2a7ea02d1ed92c17204c1a7aedb63087204d901064d0e938c72060172057203d802d606c1a7d607e4c672040711d1edededededed93e4c672040411720293db6401e4c672040964db6401e4c6a7056492c172049a7206b2720273040092e4c6720406059a7201b27202730500aedb63087204d901084d0e938c7208017205909a9ab27207730600b27207730700b27207730800997206730993b27207730a00730b7203",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))\n1: 1\n2: 0\n3: 0\n4: 12\n5: 11\n6: 0\n7: 1\n8: 2\n9: 1000000\n10: 7\n11: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val prop3 = placeholder[SigmaProp](0)\n if (l1 >= coll2(placeholder[Int](1))) {(\n val box4 = OUTPUTS(placeholder[Int](2))\n val coll5 = SELF.tokens(placeholder[Int](3))._1\n if (box4.propositionBytes == SELF.propositionBytes) {\n sigmaProp((box4.value >= SELF.value) && box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == coll5 })) && prop3\n } else {(\n val l6 = SELF.value\n val coll7 = box4.R7[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n ((box4.R4[Coll[Long]].get == coll2) && (box4.R9[AvlTree].get.digest == SELF.R5[AvlTree].get.digest)) && (\n box4.value >= l6 + coll2(placeholder[Int](4))\n )\n ) && (box4.R6[Long].get >= l1 + coll2(placeholder[Int](5)))\n ) && box4.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == coll5 })\n ) && (coll7(placeholder[Int](6)) + coll7(placeholder[Int](7)) + coll7(placeholder[Int](8)) <= l6 - placeholder[Long](9))\n ) && (coll7(placeholder[Int](10)) == placeholder[Long](11))\n )\n )}\n )} else { prop3 }\n}",
"address": "8LjPGEjx4Xhy47u4GpPd2D4ffwPfrsbzTehMVhTESyop7WX1nrTwJnpGfEjtf9MUBj1wf2PkTNzj8acLjKyCuRTuJUnpEhFUHoLaPeqKdNvMUiXHfRNYsXBLixSDzn2ndxMGarAWNbGeGF7u5Tb13Pmt8pSQHRp83Dez7zx2TQxR7wgDXhE9KuetVxH8yVkokS9VXzrEgPsoAbUrQMsxhJ7REqMXTxme7caUXR1h1CjNCTSjeyrtbsZoA4bJrQ4KFKFQnfw6j9dBqr1zEZBAPrJ1QiKHMRNvAtXgxdTr4VPV1hieskQW6cQ4GfBuYbq2QbHe6nDsvrYfniu4QPW95uCGfheWXfswpw38Ljsr77s8fqavWCJa6NcLfzv7XzQXeMH8CZ",
"assets": [
{
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"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": null,
"renderedValue": null
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
},
"R9": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[60,80,85,95,100,120]"
},
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1736084,10000000,50000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
}
}
},
{
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"value": 181500000,
"index": 2,
"spendingProof": "44b64e6fc5bb7d8df48159a6f91cfad15f7b0a3b63ec3dfe669afd3271c1e10a2c6b2a85bd9bd4eb5fddd684035c7644ba216f456397edca",
"outputBlockId": "d9064897d89810b8fcff49d38a6cd618ef906820ee69ed5f6ceebf1d30b55664",
"outputTransactionId": "214bfe2e5e2ae92b0ab55f9cc62511eeec0b4fdcb4eaf9e8c96bea9773f3cb76",
"outputIndex": 1,
"outputGlobalIndex": 53980324,
"outputCreatedAt": 1736029,
"outputSettledAt": 1736031,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "2f4119470e4c88fe1a30554516a5ded6281abd56a3f9f3b3b171cac383f9a0e5",
"transactionId": "07e8a047ff041be112c471ae908a8f52e7c977c2c73610fe9df2811be1cba711",
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"index": 0,
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"creationHeight": 1736048,
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))\n1: 1\n2: 0\n3: 0\n4: 12\n5: 11\n6: 0\n7: 1\n8: 2\n9: 1000000\n10: 7\n11: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val prop3 = placeholder[SigmaProp](0)\n if (l1 >= coll2(placeholder[Int](1))) {(\n val box4 = OUTPUTS(placeholder[Int](2))\n val coll5 = SELF.tokens(placeholder[Int](3))._1\n if (box4.propositionBytes == SELF.propositionBytes) {\n sigmaProp((box4.value >= SELF.value) && box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == coll5 })) && prop3\n } else {(\n val l6 = SELF.value\n val coll7 = box4.R7[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n ((box4.R4[Coll[Long]].get == coll2) && (box4.R9[AvlTree].get.digest == SELF.R5[AvlTree].get.digest)) && (\n box4.value >= l6 + coll2(placeholder[Int](4))\n )\n ) && (box4.R6[Long].get >= l1 + coll2(placeholder[Int](5)))\n ) && box4.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == coll5 })\n ) && (coll7(placeholder[Int](6)) + coll7(placeholder[Int](7)) + coll7(placeholder[Int](8)) <= l6 - placeholder[Long](9))\n ) && (coll7(placeholder[Int](10)) == placeholder[Long](11))\n )\n )}\n )} else { prop3 }\n}",
"address": "8LjPGEjx4Xhy47u4GpPd2D4ffwPfrsbzTehMVhTESyop7WX1nrTwJnpGfEjtf9MUBj1wf2PkTNzj8acLjKyCuRTuJUnpEhFUHoLaPeqKdNvMUiXHfRNYsXBLixSDzn2ndxMGarAWNbGeGF7u5Tb13Pmt8pSQHRp83Dez7zx2TQxR7wgDXhE9KuetVxH8yVkokS9VXzrEgPsoAbUrQMsxhJ7REqMXTxme7caUXR1h1CjNCTSjeyrtbsZoA4bJrQ4KFKFQnfw6j9dBqr1zEZBAPrJ1QiKHMRNvAtXgxdTr4VPV1hieskQW6cQ4GfBuYbq2QbHe6nDsvrYfniu4QPW95uCGfheWXfswpw38Ljsr77s8fqavWCJa6NcLfzv7XzQXeMH8CZ",
"assets": [
{
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"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
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"sigmaType": null,
"renderedValue": null
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
},
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
},
"R9": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[60,80,85,95,100,120]"
},
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1736084,10000000,50000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
}
},
"spentTransactionId": "9f903f3a733166cddcd58a496e161257f12e9042666a3a00948399b136f10d71",
"mainChain": true
},
{
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"index": 1,
"globalIndex": 53981145,
"creationHeight": 1736048,
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"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "9af212e946a9bbf25ea7fa675dbcc5ee52352b9a284d60e9d0aeb35c22141c87",
"mainChain": true
},
{
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"value": 40000000,
"index": 2,
"globalIndex": 53981146,
"creationHeight": 1736048,
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"ergoTreeConstants": "",
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"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
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"mainChain": true
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{
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"ergoTreeConstants": "",
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"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
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{
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"value": 2000000,
"index": 4,
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"creationHeight": 1736048,
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"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": [],
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"spentTransactionId": "e9b4f6d622a1893479feec92fc62a246b59eaebf58ed8034841777ffd3a20393",
"mainChain": true
},
{
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"index": 5,
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"creationHeight": 1736048,
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"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
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"mainChain": true
}
],
"size": 1305,
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}