Transaction
ID: 7c2bdf01a3...0152
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.101 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
11.98 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.201 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
11.87 ERG
Transaction Details
Confirmations: 26,401
Total coins transferred: 12.08 ERG
Fees: 0.01 ERG
Fees per byte: 0.000004619 ERG
Raw Transaction Data
{
"id": "7c2bdf01a3e9a36e1fba0f0a26bf56b6121daadf0460dcdacebc5e42d4b40152",
"blockId": "55cf552dedd329b39bf758a31e9e0befe1dd61e4cf68f5568aa7d93b25ea453d",
"inclusionHeight": 1733877,
"timestamp": 1772539752391,
"index": 2,
"globalIndex": 10389626,
"numConfirmations": 26401,
"inputs": [
{
"boxId": "732af9e01d23a3eba31a01239dee09893f3ca6f055901162a693175817799bea",
"value": 101000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "36ad719989087a119a3c77d03215e8c2001fba5ac63bc5f1a759e04b82ef8f58",
"outputTransactionId": "c8805206740620a562413fa609198744e75b01347be499f84ae99a8face2054b",
"outputIndex": 0,
"outputGlobalIndex": 53921936,
"outputCreatedAt": 1733865,
"outputSettledAt": 1733867,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 33\n4: 34\n5: 35\n6: 5\n7: 0\n8: 0\n9: 8\n10: 2\n11: 1\n12: 0\n13: 32\n14: 32\n15: 54\n16: 0\n17: 22\n18: 0\n19: 32\n20: 32\n21: 16777216\n22: 0\n23: 256\n24: 65536\n25: 0\n26: 256\n27: 256\n28: 0\n29: 256\n30: 0\n31: true\n32: 21\n33: 20\n34: 256\n35: 0\n36: 256\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 4\n43: 0\n44: 2\n45: 2\n46: 2\n47: 0\n48: true\n49: 0\n50: 0\n51: 2200000\n52: 3\n53: 12\n54: 4\n55: 0\n56: 0\n57: 2\n58: 10\n59: 2\n60: 11\n61: 64\n62: 0\n63: 32\n64: 32\n65: 64\n66: 1\n67: 0\n68: 32\n69: 0\n70: 32\n71: 50\n72: 86\n73: 1\n74: true\n75: 0\n76: 1\n77: 32\n78: 40\n79: 1\n80: 32\n81: 40\n82: 40\n83: 48\n84: 0\n85: 12",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n if (l1 < l3) {(\n val box6 = OUTPUTS(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val box8 = coll7(placeholder[Int](2))\n val coll9 = getVar[Coll[Byte]](4.toByte).get\n val i10 = coll4.size\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = getVar[Coll[Byte]](5.toByte).get\n val coll13 = getVar[Coll[Byte]](2.toByte).get\n val l14 = coll12(placeholder[Int](3)).toLong\n val l15 = coll12(placeholder[Int](4)).toLong\n val l16 = coll12(placeholder[Int](5)).toLong\n val l17 = coll2(placeholder[Int](6))\n val coll18 = box6.R5[Coll[Coll[Byte]]].get\n val coll19 = box6.R6[Coll[Coll[Byte]]].get\n val i20 = coll5.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n {(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll9 }\n )\n ) && (coll2(placeholder[Int](7)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](8), placeholder[Int](9))))\n ) && (i10.toLong < coll2(placeholder[Int](10)))\n ) && (coll7(placeholder[Int](11)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n ) && (\n (coll13.slice(placeholder[Int](12), placeholder[Int](13)) == coll11) && (\n coll13.slice(placeholder[Int](14), placeholder[Int](15)) == coll12.slice(placeholder[Int](16), placeholder[Int](17))\n )\n )\n ) && coll4.forall({(coll21: Coll[Byte]) => coll21.slice(placeholder[Int](18), placeholder[Int](19)) != coll11 })\n ) && (\n l1 >= coll12(placeholder[Int](20)).toLong * placeholder[Long](21) + if (l14 < placeholder[Long](22)) {\n l14 + placeholder[Long](23)\n } else { l14 } * placeholder[Long](24) + if (l15 < placeholder[Long](25)) { l15 + placeholder[Long](26) } else { l15 } * placeholder[\n Long\n ](27) + if (l16 < placeholder[Long](28)) { l16 + placeholder[Long](29) } else { l16 }\n )\n ) && if (l17 == placeholder[Long](30)) { placeholder[Boolean](31) } else {(\n val l21 = coll12(placeholder[Int](32)).toLong\n val l22 = coll12(placeholder[Int](33)).toLong * placeholder[Long](34) + if (l21 < placeholder[Long](35)) {\n l21 + placeholder[Long](36)\n } else { l21 }\n val coll23 = box8.R9[Coll[Long]].get\n val i24 = l17 - placeholder[Long](37) * placeholder[Long](38).toInt\n (l22 >= coll23(i24)) && (l22 <= coll23(i24 + placeholder[Int](39)))\n )}\n ) && (coll18.size == i10 + placeholder[Int](40))\n ) && (coll18(i10) == coll13)\n ) && coll4.indices.forall({(i21: Int) => coll18(i21) == coll4(i21) })\n ) && (coll19.size == i20 + placeholder[Int](41))\n ) && (coll19(i20) == getVar[Coll[Byte]](3.toByte).get)\n ) && coll5.indices.forall({(i21: Int) => coll19(i21) == coll5(i21) })\n ) && (box6.value >= SELF.value + coll2(placeholder[Int](42)))\n )\n )} else {(\n val i6 = getVar[Int](1.toByte).get\n val box7 = CONTEXT.dataInputs(placeholder[Int](43))\n val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n val coll9 = box7.R4[Coll[Long]].get\n sigmaProp(if (i6 == placeholder[Int](44)) {(\n val i10 = coll4.size\n ((bool8 && (l1 >= l3 + placeholder[Long](45))) && (i10 < placeholder[Int](46))) && if (i10 == placeholder[Int](47)) { placeholder[Boolean](48) } else {(\n val box11 = OUTPUTS(placeholder[Int](49))\n (box11.propositionBytes == coll5(placeholder[Int](50))) && (box11.value >= SELF.value - placeholder[Long](51))\n )}\n )} else { if (i6 == placeholder[Int](52)) {(\n val coll10 = coll5.indices\n ((bool8 && (l1 > l3 + placeholder[Long](53))) && coll10.forall({(i11: Int) =>\n val box13 = OUTPUTS(i11)\n (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](54)))\n })) && (coll10.fold(placeholder[Long](55), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n )} else {(\n val i10 = coll4.size\n val box11 = OUTPUTS(placeholder[Int](56))\n val coll12 = box11.R9[Coll[Byte]].get\n val coll13 = getVar[Coll[Byte]](3.toByte).get\n val coll14 = box11.R7[Coll[Coll[Byte]]].get\n val i15 = coll14.size\n val l16 = SELF.value\n ((((((((((((bool8 && ((l1 >= l3 + placeholder[Long](57)) && (l1 <= l3 + placeholder[Long](58)))) && (i10 >= placeholder[Int](59))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](60)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (((coll12.size == placeholder[Int](61)) && (coll12.slice(placeholder[Int](62), placeholder[Int](63)) == SELF.id)) && (coll12.slice(placeholder[Int](64), placeholder[Int](65)) == coll13))) && CONTEXT.headers.exists({(header17: Header) => (header17.id == coll13) && (header17.height == l3 + placeholder[Long](66).toInt) })) && (i15 == i10)) && coll14.forall({(coll17: Coll[Byte]) => coll4.indices.exists({(i19: Int) => (coll4(i19).slice(placeholder[Int](67), placeholder[Int](68)) == coll17.slice(placeholder[Int](69), placeholder[Int](70))) && (coll5(i19) == coll17.slice(placeholder[Int](71), placeholder[Int](72))) }) })) && if (i15 <= placeholder[Int](73)) { placeholder[Boolean](74) } else { coll14.indices.slice(placeholder[Int](75), i15 - placeholder[Int](76)).forall({(i17: Int) => byteArrayToLong(coll14(i17).slice(placeholder[Int](77), placeholder[Int](78))) >= byteArrayToLong(coll14(i17 + placeholder[Int](79)).slice(placeholder[Int](80), placeholder[Int](81))) }) }) && (coll14.map({(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(placeholder[Int](82), placeholder[Int](83))) }).fold(placeholder[Long](84), {(tuple17: (Long, Long)) => tuple17._1 + tuple17._2 }) <= l16)) && (box11.value >= l16 + coll9(placeholder[Int](85)))\n )} })\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "110787b1e195d2cef7f47d0028e2d3d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-4536513759494810692,0,20,1733873,50000000,0,0]"
},
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "1a02240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
}
}
},
{
"boxId": "75bdf2e0c73fe389ba42f50ebcaca42a67fe8164a23be73f776f73d59c64e12b",
"value": 11977492696,
"index": 1,
"spendingProof": "d2ba33406eca3a3e4086c8b9f1b170cd181a7d8b897dcb2f0a646236ecb7c61b106c8464d0d6a18ef5b1976b815889d8033b073a3f2da8f6",
"outputBlockId": "36ad719989087a119a3c77d03215e8c2001fba5ac63bc5f1a759e04b82ef8f58",
"outputTransactionId": "c8805206740620a562413fa609198744e75b01347be499f84ae99a8face2054b",
"outputIndex": 2,
"outputGlobalIndex": 53921938,
"outputCreatedAt": 1733865,
"outputSettledAt": 1733867,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ee48e0aa8ea11d8b852731982630d298171ecd18bbc79ac3995753690c4ad340",
"value": 10000000,
"index": 0,
"outputBlockId": "3ebd604b6bbda0f261bbd1ca154a1af2a3d16c53d6b768f7d975b34c0f70a2e1",
"outputTransactionId": "2da2c2ad2c4b62317a202e9759c946651d50d3cd372785a5ad8314af8d69fe93",
"outputIndex": 0,
"ergoTree": "18380208cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a0402eb027300d1927ea305b2e4c6a70411730100",
"address": "pA1p4kEjmLdGPJFY3pgPCZpg28tw34QTWCTpDA73oSvK3VLVPttk4ZNBL25dHw1qUwCztiSxhGzpgvhygp1Sz",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "64ba49fbb0640582277fc81dd64de8941c129d25d0d7e220b92c4c1ac5487734bc02072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1d07050006e807e012e707050208e807e012d704050400e807e0120005060ae807e012e807050802e807e0128f03050a04e807e012b817050101008727b817",
"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]]"
},
"R8": {
"serializedValue": "1d05083c0a143c0a1e0000081e3c140a3c1e000008141e3c0a143c00000828281e1e1e14000008141432141e3c0000",
"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]]"
},
"R7": {
"serializedValue": "1d0306e80202a01f000080ade20406d00502c03e04904e80dac40906a00b040004f02e80b48913",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
},
"R9": {
"serializedValue": "110678a001aa01be01c801f001",
"sigmaType": "Coll[SLong]",
"renderedValue": "[60,80,85,95,100,120]"
},
"R4": {
"serializedValue": "111700cea1d40180dac40980c2d72f0e06807de0d403e802a00b04148084af5f50463200000000000a0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1738855,10000000,50000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
}
}
}
],
"outputs": [
{
"boxId": "11de9ca202bf168aeda7d94d4ece59ad9891b230f14b9ad324666ddbe085d102",
"transactionId": "7c2bdf01a3e9a36e1fba0f0a26bf56b6121daadf0460dcdacebc5e42d4b40152",
"blockId": "55cf552dedd329b39bf758a31e9e0befe1dd61e4cf68f5568aa7d93b25ea453d",
"value": 201000000,
"index": 0,
"globalIndex": 53922197,
"creationHeight": 1733875,
"settlementHeight": 1733877,
"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": "05a4d4d301",
"sigmaType": "SLong",
"renderedValue": "1733906"
},
"R8": {
"serializedValue": "0e240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R7": {
"serializedValue": "1a0256deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef000000000001db4b000000000393870000960008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a56cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000b650000000002625a0000640008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef000000000001db4b000000000393870000960008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000b650000000002625a0000640008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a]"
},
"R9": {
"serializedValue": "0e40732af9e01d23a3eba31a01239dee09893f3ca6f055901162a693175817799bea603322bb628f074f297596dfc2e876a46d3865d26257da9316d0419c8fcb5c36",
"sigmaType": "Coll[SByte]",
"renderedValue": "732af9e01d23a3eba31a01239dee09893f3ca6f055901162a693175817799bea603322bb628f074f297596dfc2e876a46d3865d26257da9316d0419c8fcb5c36"
},
"R4": {
"serializedValue": "110787b1e195d2cef7f47d0028e2d3d30180c2d72f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-4536513759494810692,0,20,1733873,50000000,0,0]"
}
},
"spentTransactionId": "e3cd474796d03969ae45661c50a707248605e90b437bef23189f365978eb4b9a",
"mainChain": true
},
{
"boxId": "371019a866d84bad9bdc90429c6b17943e9e435c7a6a578e407c497b2ea43f8b",
"transactionId": "7c2bdf01a3e9a36e1fba0f0a26bf56b6121daadf0460dcdacebc5e42d4b40152",
"blockId": "55cf552dedd329b39bf758a31e9e0befe1dd61e4cf68f5568aa7d93b25ea453d",
"value": 10000000,
"index": 1,
"globalIndex": 53922198,
"creationHeight": 1733875,
"settlementHeight": 1733877,
"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": "082aeff86dfa57ba64688e8fe49a01d182ba10d73cce0e84276fc626989ce384",
"mainChain": true
},
{
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"transactionId": "7c2bdf01a3e9a36e1fba0f0a26bf56b6121daadf0460dcdacebc5e42d4b40152",
"blockId": "55cf552dedd329b39bf758a31e9e0befe1dd61e4cf68f5568aa7d93b25ea453d",
"value": 11867492696,
"index": 2,
"globalIndex": 53922199,
"creationHeight": 1733875,
"settlementHeight": 1733877,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0c226d4ffa66cbf4386ab6e15ff92fae0606e06848f03e496393f8e136eeb9d6",
"mainChain": true
}
],
"size": 2165,
"isUnconfirmed": false
}