Transaction
ID: 94b7b5a22e...20b9
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.05 ERG
Outputs (11)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0435 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 623,102
Total coins transferred: 0.05 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000718 ERG
Raw Transaction Data
{
"id": "94b7b5a22ee13f74a7ab609b9f2f1dfbc8448c54431c65706e9ee1ce2efa20b9",
"blockId": "4d931d5161babaf44232a266f4166808794e9d54fa574825d32bff3da8160287",
"inclusionHeight": 1144458,
"timestamp": 1701182898894,
"index": 18,
"globalIndex": 6185871,
"numConfirmations": 623102,
"inputs": [
{
"boxId": "eee10a8a62210b722f3610dc71e974703f3b69d5cef8b0e0557a9d3f736aef0d",
"value": 50000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "344be3115e55dbdd45bbfcde8bc03d38eeaf9c8e78bceead6cf0d1c4eb1a098f",
"outputTransactionId": "9ddc861fa9b09c454d2d41cccf1041781575c4099efcafee6de58fe62e57c079",
"outputIndex": 0,
"outputGlobalIndex": 34637599,
"outputCreatedAt": 1144450,
"outputSettledAt": 1144452,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 1\n3: 2\n4: 0\n5: Coll(1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 16\n13: 0\n14: 66\n15: 73\n16: 80\n17: 48\n18: 51\n19: 52\n20: 48\n21: 47\n22: 99\n23: 104\n24: 97\n25: 108\n26: 108\n27: 101\n28: 110\n29: 103\n30: 101\n31: 1\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 1\n60: 1\n61: 16\n62: 0\n63: 1\n64: 16\n65: 0\n66: Coll(3,16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18)\n67: 0\n68: 0\n69: 2",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.R6[Coll[Int]].get\n val i4 = coll3(placeholder[Int](1))\n val i5 = coll3(placeholder[Int](2))\n val i6 = coll3(placeholder[Int](3))\n val coll7 = getVar[Coll[(Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))]](2.toByte).get\n val coll8 = coll7.zip(coll7.indices)\n val l9 = getVar[Long](8.toByte).get\n val coll10 = getVar[Coll[Byte]](6.toByte).get\n val func11 = {(tuple11: (GroupElement, (Coll[Byte], Int))) =>\n val ge13 = tuple11._1\n val tuple14 = tuple11._2\n val coll15 = tuple14._1\n val i16 = tuple14._2\n ge13.exp(byteArrayToBigInt(coll15.slice(placeholder[Int](4), i16))).exp(byteArrayToBigInt(placeholder[Coll[Byte]](5))).multiply(\n ge13.exp(byteArrayToBigInt(coll15.slice(i16, coll15.size)))\n )\n }\n val ge12 = box2.R7[GroupElement].get\n val ge13 = box2.R8[GroupElement].get\n val coll14 = getVar[Coll[((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))]](0.toByte).get\n val tuple15 = (ge13, placeholder[Int](6))\n val coll16 = coll1.slice(placeholder[Int](7), coll3(placeholder[Int](8))).fold(\n Coll[GroupElement](), {(tuple16: (Coll[GroupElement], Box)) => tuple16._1.append(tuple16._2.R4[Coll[GroupElement]].get) }\n )\n val func17 = {(coll17: Coll[Byte]) =>\n if (coll17(placeholder[Int](9)).toInt < placeholder[Int](10)) { Coll[Byte](placeholder[Byte](11)).append(coll17) } else { coll17 }\n }\n val coll18 = coll16.indices.map({(i18: Int) => {(tuple20: (Coll[GroupElement], Int)) =>\n val coll22 = blake2b256(box2.R9[Coll[Byte]].get.append(tuple20._1(tuple20._2).getEncoded))\n val i23 = coll22.size\n val i24 = i23 - placeholder[Int](12)\n val coll25 = func17(coll22.slice(placeholder[Int](13), i24))\n (coll25.append(func17(coll22.slice(i24, i23))), coll25.size)\n }((coll16, i18)) })\n val ge19 = getVar[GroupElement](1.toByte).get\n val coll20 = sha256(\n Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30)\n ).map({(i20: Int) => i20.toByte })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (((HEIGHT >= i4 + i5 - placeholder[Int](31) * i6) && (HEIGHT < i4 + i5 * i6)) && (coll7.size > placeholder[Int](32))) && (\n blake2b256(\n getVar[AvlTree](7.toByte).get.insert(\n coll8.map(\n {(tuple21: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Int)) =>\n (longToByteArray(tuple21._2 + placeholder[Int](33).toLong), {(tuple23: (Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))) =>\n val tuple25 = tuple23._2\n blake2b256(longToByteArray(tuple23._1).append(tuple25._1).append(tuple25._2.fold(Coll[Byte](), {(tuple26: (Coll[Byte], (Coll[Byte], Long))) =>\n val tuple28 = tuple26._2\n tuple26._1.append(tuple28._1).append(longToByteArray(tuple28._2))\n })))\n }(tuple21._1))\n }\n ).append(\n Coll[(Coll[Byte], Coll[Byte])](\n (\n longToByteArray(coll8.size.toLong + placeholder[Long](34)), longToByteArray(l9).append(\n Coll[Int](\n placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](\n 40\n ), placeholder[Int](41), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[\n Int\n ](46), placeholder[Int](47), placeholder[Int](48), placeholder[Int](49), placeholder[Int](50), placeholder[Int](\n 51\n ), placeholder[Int](52), placeholder[Int](53), placeholder[Int](54), placeholder[Int](55), placeholder[Int](56), placeholder[\n Int\n ](57), placeholder[Int](58)\n ).map({(i21: Int) => i21.toByte })\n )\n )\n )\n ), getVar[Coll[Byte]](3.toByte).get\n ).get.digest\n ) == coll10\n )\n ) && (\n func11((ge12, getVar[(Coll[Byte], Int)](5.toByte).get)).multiply(\n {(coll21: Coll[GroupElement]) => coll21.fold(ge13, {(tuple23: (GroupElement, GroupElement)) => tuple23._1.multiply(tuple23._2) }) }(\n coll14.map({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple21._1._2._1 })\n )\n ) == func11(({(tuple21: ((Coll[GroupElement], Coll[Int]), Coll[(Coll[Byte], Int)])) =>\n val tuple23 = tuple21._1\n tuple23._1.fold(tuple15, {(tuple24: ((GroupElement, Int), GroupElement)) =>\n val tuple26 = tuple24._1\n val i27 = tuple26._2\n val ge28 = tuple26._1\n if (tuple23._2.exists({(i29: Int) => i29 == i27 })) { (ge28, i27 + placeholder[Int](59)) } else { (ge28.multiply(func11((tuple24._2, tuple21._2(i27)))), i27 + placeholder[Int](60)) }\n })._1\n }(((coll16, coll14.map({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple21._1._1 })), coll18)), {(coll21: Coll[Byte]) =>\n val i23 = coll21.size\n val i24 = i23 - placeholder[Int](61)\n val coll25 = func17(coll21.slice(placeholder[Int](62), i24))\n (coll25.append(func17(coll21.slice(i24, i23))), coll25.size)\n }(blake2b256({(tuple21: (Coll[GroupElement], Coll[(Coll[Byte], Int)])) => tuple21._1.fold(tuple15, {(tuple23: ((GroupElement, Int), GroupElement)) =>\n val tuple25 = tuple23._1\n val i26 = tuple25._2\n (tuple25._1.multiply(func11((tuple23._2, tuple21._2(i26)))), i26 + placeholder[Int](63))\n })._1 }((coll16, coll18)).getEncoded.append(ge19.getEncoded).append(coll10))))).multiply(ge19)\n )\n ) && coll14.forall({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) =>\n val tuple23 = tuple21._2\n val tuple24 = tuple21._1._2\n val tuple25 = tuple23._2\n val coll26 = sha256(coll20.append(coll20).append(tuple25._2).append(tuple24._2).append(coll10))\n val i27 = coll26.size\n val i28 = i27 - placeholder[Int](64)\n val coll29 = func17(coll26.slice(placeholder[Int](65), i28))\n func11((ge12, tuple23._1)) == func11((tuple24._1, (coll29.append(func17(coll26.slice(i28, i27))), coll29.size))).multiply(tuple25._1)\n })\n ) && (coll16.size - coll14.size >= getVar[Int](9.toByte).get)\n ) && coll7.zip(OUTPUTS).forall({(tuple21: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Box)) =>\n val box23 = tuple21._2\n val tuple24 = tuple21._1\n val tuple25 = tuple24._2\n val coll26 = tuple25._2\n (((box23.value == tuple24._1) && (box23.propositionBytes == tuple25._1)) && (box23.tokens.size == coll26.size)) && box23.tokens.zip(coll26).forall({(tuple27: ((Coll[Byte], Long), (Coll[Byte], Long))) => tuple27._1 == tuple27._2 })\n })\n ) && (\n OUTPUTS.map({(box21: Box) => if (box21.propositionBytes == placeholder[Coll[Byte]](66)) { box21.value } else { placeholder[Long](67) } }).fold(\n placeholder[Long](68), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 }\n ) <= l9\n )\n ) && (OUTPUTS(OUTPUTS.size - placeholder[Int](69)).propositionBytes == SELF.propositionBytes)\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "c832dfefa8e12f22068dc0e8f2a4763febd25a3c696412a3d7497a6e42cd1eeb",
"value": 1436400,
"index": 0,
"outputBlockId": "4a2d16bcdf99974181c3190677b0385cfd4fc0580af9e25fe3b5238f604f72f2",
"outputTransactionId": "c2d32b475a77302b3db42fd5474a5f3a662965e66c73bd1169c202b1297264ae",
"outputIndex": 0,
"ergoTree": "0008cd035b30e51efdd548c780e4cbcc277e75e312787829babafad353fa70192c0bb46a",
"address": "9h9y3T3W84UtvRBZxtQMLtm5nLLanyuWVSWbWaJVScb5kynCwxc",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R6": {
"serializedValue": "10040402c09a0c94d88b01",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,1,100000,1144330]"
},
"R8": {
"serializedValue": "07000000000000000000000000000000000000000000000000000000000000000000",
"sigmaType": "SGroupElement",
"renderedValue": "000000000000000000000000000000000000000000000000000000000000000000"
},
"R7": {
"serializedValue": "070279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798",
"sigmaType": "SGroupElement",
"renderedValue": "0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798"
},
"R9": {
"serializedValue": "0e20a12d0202dc1270efbd9b1cd555b154db30060eae8aebe639d802d5e5c24bfdd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "a12d0202dc1270efbd9b1cd555b154db30060eae8aebe639d802d5e5c24bfdd3"
},
"R4": {
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},
"R5": {
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}
}
}
],
"outputs": [
{
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{
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"creationHeight": 1144456,
"settlementHeight": 1144458,
"ergoTree": "0008cd03a9fb4e3874c496d5495ce3690862a03ab4d249f097155f9945b01b4fb1bb454b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a9fb4e,56da23,...)))}",
"address": "9hkfeMZj1p3rBQJhENX5EKczYx3uVTjVPdN825YvdLnwzgxkKvj",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ac6011dc2824512a44eee9c7f1898a86a87712a55b3c327f329a35444763dc03",
"mainChain": true
},
{
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"ergoTree": "0008cd03a9fb4e3874c496d5495ce3690862a03ab4d249f097155f9945b01b4fb1bb454b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a9fb4e,56da23,...)))}",
"address": "9hkfeMZj1p3rBQJhENX5EKczYx3uVTjVPdN825YvdLnwzgxkKvj",
"assets": [],
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"mainChain": true
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{
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"creationHeight": 1144456,
"settlementHeight": 1144458,
"ergoTree": "0008cd03a9fb4e3874c496d5495ce3690862a03ab4d249f097155f9945b01b4fb1bb454b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a9fb4e,56da23,...)))}",
"address": "9hkfeMZj1p3rBQJhENX5EKczYx3uVTjVPdN825YvdLnwzgxkKvj",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c4936783181d166ac3e29e9dc0fa5d008c7e6d5181c769044e13b5ef6d4fa750",
"mainChain": true
},
{
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"transactionId": "94b7b5a22ee13f74a7ab609b9f2f1dfbc8448c54431c65706e9ee1ce2efa20b9",
"blockId": "4d931d5161babaf44232a266f4166808794e9d54fa574825d32bff3da8160287",
"value": 500000,
"index": 8,
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"creationHeight": 1144456,
"settlementHeight": 1144458,
"ergoTree": "0008cd03a9fb4e3874c496d5495ce3690862a03ab4d249f097155f9945b01b4fb1bb454b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a9fb4e,56da23,...)))}",
"address": "9hkfeMZj1p3rBQJhENX5EKczYx3uVTjVPdN825YvdLnwzgxkKvj",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c4936783181d166ac3e29e9dc0fa5d008c7e6d5181c769044e13b5ef6d4fa750",
"mainChain": true
},
{
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"blockId": "4d931d5161babaf44232a266f4166808794e9d54fa574825d32bff3da8160287",
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"index": 9,
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"creationHeight": 1144456,
"settlementHeight": 1144458,
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"ergoTreeConstants": "0: 0\n1: 3\n2: 1\n3: 2\n4: 0\n5: Coll(1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 16\n13: 0\n14: 66\n15: 73\n16: 80\n17: 48\n18: 51\n19: 52\n20: 48\n21: 47\n22: 99\n23: 104\n24: 97\n25: 108\n26: 108\n27: 101\n28: 110\n29: 103\n30: 101\n31: 1\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 1\n60: 1\n61: 16\n62: 0\n63: 1\n64: 16\n65: 0\n66: Coll(3,16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18)\n67: 0\n68: 0\n69: 2",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.R6[Coll[Int]].get\n val i4 = coll3(placeholder[Int](1))\n val i5 = coll3(placeholder[Int](2))\n val i6 = coll3(placeholder[Int](3))\n val coll7 = getVar[Coll[(Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))]](2.toByte).get\n val coll8 = coll7.zip(coll7.indices)\n val l9 = getVar[Long](8.toByte).get\n val coll10 = getVar[Coll[Byte]](6.toByte).get\n val func11 = {(tuple11: (GroupElement, (Coll[Byte], Int))) =>\n val ge13 = tuple11._1\n val tuple14 = tuple11._2\n val coll15 = tuple14._1\n val i16 = tuple14._2\n ge13.exp(byteArrayToBigInt(coll15.slice(placeholder[Int](4), i16))).exp(byteArrayToBigInt(placeholder[Coll[Byte]](5))).multiply(\n ge13.exp(byteArrayToBigInt(coll15.slice(i16, coll15.size)))\n )\n }\n val ge12 = box2.R7[GroupElement].get\n val ge13 = box2.R8[GroupElement].get\n val coll14 = getVar[Coll[((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))]](0.toByte).get\n val tuple15 = (ge13, placeholder[Int](6))\n val coll16 = coll1.slice(placeholder[Int](7), coll3(placeholder[Int](8))).fold(\n Coll[GroupElement](), {(tuple16: (Coll[GroupElement], Box)) => tuple16._1.append(tuple16._2.R4[Coll[GroupElement]].get) }\n )\n val func17 = {(coll17: Coll[Byte]) =>\n if (coll17(placeholder[Int](9)).toInt < placeholder[Int](10)) { Coll[Byte](placeholder[Byte](11)).append(coll17) } else { coll17 }\n }\n val coll18 = coll16.indices.map({(i18: Int) => {(tuple20: (Coll[GroupElement], Int)) =>\n val coll22 = blake2b256(box2.R9[Coll[Byte]].get.append(tuple20._1(tuple20._2).getEncoded))\n val i23 = coll22.size\n val i24 = i23 - placeholder[Int](12)\n val coll25 = func17(coll22.slice(placeholder[Int](13), i24))\n (coll25.append(func17(coll22.slice(i24, i23))), coll25.size)\n }((coll16, i18)) })\n val ge19 = getVar[GroupElement](1.toByte).get\n val coll20 = sha256(\n Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30)\n ).map({(i20: Int) => i20.toByte })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (((HEIGHT >= i4 + i5 - placeholder[Int](31) * i6) && (HEIGHT < i4 + i5 * i6)) && (coll7.size > placeholder[Int](32))) && (\n blake2b256(\n getVar[AvlTree](7.toByte).get.insert(\n coll8.map(\n {(tuple21: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Int)) =>\n (longToByteArray(tuple21._2 + placeholder[Int](33).toLong), {(tuple23: (Long, (Coll[Byte], Coll[(Coll[Byte], Long)]))) =>\n val tuple25 = tuple23._2\n blake2b256(longToByteArray(tuple23._1).append(tuple25._1).append(tuple25._2.fold(Coll[Byte](), {(tuple26: (Coll[Byte], (Coll[Byte], Long))) =>\n val tuple28 = tuple26._2\n tuple26._1.append(tuple28._1).append(longToByteArray(tuple28._2))\n })))\n }(tuple21._1))\n }\n ).append(\n Coll[(Coll[Byte], Coll[Byte])](\n (\n longToByteArray(coll8.size.toLong + placeholder[Long](34)), longToByteArray(l9).append(\n Coll[Int](\n placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](\n 40\n ), placeholder[Int](41), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[\n Int\n ](46), placeholder[Int](47), placeholder[Int](48), placeholder[Int](49), placeholder[Int](50), placeholder[Int](\n 51\n ), placeholder[Int](52), placeholder[Int](53), placeholder[Int](54), placeholder[Int](55), placeholder[Int](56), placeholder[\n Int\n ](57), placeholder[Int](58)\n ).map({(i21: Int) => i21.toByte })\n )\n )\n )\n ), getVar[Coll[Byte]](3.toByte).get\n ).get.digest\n ) == coll10\n )\n ) && (\n func11((ge12, getVar[(Coll[Byte], Int)](5.toByte).get)).multiply(\n {(coll21: Coll[GroupElement]) => coll21.fold(ge13, {(tuple23: (GroupElement, GroupElement)) => tuple23._1.multiply(tuple23._2) }) }(\n coll14.map({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple21._1._2._1 })\n )\n ) == func11(({(tuple21: ((Coll[GroupElement], Coll[Int]), Coll[(Coll[Byte], Int)])) =>\n val tuple23 = tuple21._1\n tuple23._1.fold(tuple15, {(tuple24: ((GroupElement, Int), GroupElement)) =>\n val tuple26 = tuple24._1\n val i27 = tuple26._2\n val ge28 = tuple26._1\n if (tuple23._2.exists({(i29: Int) => i29 == i27 })) { (ge28, i27 + placeholder[Int](59)) } else { (ge28.multiply(func11((tuple24._2, tuple21._2(i27)))), i27 + placeholder[Int](60)) }\n })._1\n }(((coll16, coll14.map({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) => tuple21._1._1 })), coll18)), {(coll21: Coll[Byte]) =>\n val i23 = coll21.size\n val i24 = i23 - placeholder[Int](61)\n val coll25 = func17(coll21.slice(placeholder[Int](62), i24))\n (coll25.append(func17(coll21.slice(i24, i23))), coll25.size)\n }(blake2b256({(tuple21: (Coll[GroupElement], Coll[(Coll[Byte], Int)])) => tuple21._1.fold(tuple15, {(tuple23: ((GroupElement, Int), GroupElement)) =>\n val tuple25 = tuple23._1\n val i26 = tuple25._2\n (tuple25._1.multiply(func11((tuple23._2, tuple21._2(i26)))), i26 + placeholder[Int](63))\n })._1 }((coll16, coll18)).getEncoded.append(ge19.getEncoded).append(coll10))))).multiply(ge19)\n )\n ) && coll14.forall({(tuple21: ((Int, (GroupElement, Coll[Byte])), ((Coll[Byte], Int), (GroupElement, Coll[Byte])))) =>\n val tuple23 = tuple21._2\n val tuple24 = tuple21._1._2\n val tuple25 = tuple23._2\n val coll26 = sha256(coll20.append(coll20).append(tuple25._2).append(tuple24._2).append(coll10))\n val i27 = coll26.size\n val i28 = i27 - placeholder[Int](64)\n val coll29 = func17(coll26.slice(placeholder[Int](65), i28))\n func11((ge12, tuple23._1)) == func11((tuple24._1, (coll29.append(func17(coll26.slice(i28, i27))), coll29.size))).multiply(tuple25._1)\n })\n ) && (coll16.size - coll14.size >= getVar[Int](9.toByte).get)\n ) && coll7.zip(OUTPUTS).forall({(tuple21: ((Long, (Coll[Byte], Coll[(Coll[Byte], Long)])), Box)) =>\n val box23 = tuple21._2\n val tuple24 = tuple21._1\n val tuple25 = tuple24._2\n val coll26 = tuple25._2\n (((box23.value == tuple24._1) && (box23.propositionBytes == tuple25._1)) && (box23.tokens.size == coll26.size)) && box23.tokens.zip(coll26).forall({(tuple27: ((Coll[Byte], Long), (Coll[Byte], Long))) => tuple27._1 == tuple27._2 })\n })\n ) && (\n OUTPUTS.map({(box21: Box) => if (box21.propositionBytes == placeholder[Coll[Byte]](66)) { box21.value } else { placeholder[Long](67) } }).fold(\n placeholder[Long](68), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 }\n ) <= l9\n )\n ) && (OUTPUTS(OUTPUTS.size - placeholder[Int](69)).propositionBytes == SELF.propositionBytes)\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "806af5788a5309348721edf5df8580c936bef296e717aad538432ae1ecc90730",
"mainChain": true
},
{
"boxId": "ceaaa0984802828e2164c50021cd2d7b95e57cd6b2faaae6c9e1ff679b248cfb",
"transactionId": "94b7b5a22ee13f74a7ab609b9f2f1dfbc8448c54431c65706e9ee1ce2efa20b9",
"blockId": "4d931d5161babaf44232a266f4166808794e9d54fa574825d32bff3da8160287",
"value": 2000000,
"index": 10,
"globalIndex": 34637827,
"creationHeight": 1144456,
"settlementHeight": 1144458,
"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": "41f8a9dc569eff8f40f83c164ea74b9d2048839a63198fbc40068532c06cffbc",
"mainChain": true
}
],
"size": 2785,
"isUnconfirmed": false
}