Transaction
ID: d4091a89ee...10b5
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 725,715
Total coins transferred: 0.026 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000062 ERG
Raw Transaction Data
{
"id": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"inclusionHeight": 1030646,
"timestamp": 1687362828070,
"index": 13,
"globalIndex": 5413172,
"numConfirmations": 725715,
"inputs": [
{
"boxId": "c533a61730257cdad2c08bcdb34238f8379a1bf92c9ddca7e78c307dc035bb2d",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "394d07d115d27270eb884b98355f937ee17b640d9bbe779c464409e0a562d1f8",
"outputTransactionId": "020f2fee3c951e17795807d0ece921887addbc93b5ce8fde18986eb3636c8fdc",
"outputIndex": 0,
"outputGlobalIndex": 30253930,
"outputCreatedAt": 1030491,
"outputSettledAt": 1030493,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(-36,64,78,-101,64,125,56,43,-6,-18,-27,-88,-16,71,78,26,-88,-22,-4,-78,-126,-17,-62,-9,67,98,-10,-99,19,-116,96,7)\n19: Coll(24,-55,56,-31,-110,79,-61,-22,-36,38,110,117,-20,2,-40,31,-25,59,86,-28,-23,-12,-30,104,-33,-1,-4,-77,3,-121,-60,45)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-99,-112,-25,86,125,6,98,99,16,77,26,-3,19,-68,35,-95,-94,89,-41,51,80,123,-15,-13,60,-48,33,85,-25,-1,13,-15)\n50: 2\n51: 1\n52: 0\n53: Coll(-33,-11,30,-56,82,99,-38,64,-127,-127,57,76,114,-6,110,-13,-71,-56,32,72,-26,120,60,127,-22,22,66,-52,4,114,-12,20)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "4517aed531db665693495fd3544faf75717816509cb0987513d24939977abbb6",
"index": 0,
"amount": 1,
"name": "AHT Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6c6e6ec794585aeeac8d9a211a270caec3d0fce9c352f8df2cc54b2c32217648",
"index": 1,
"amount": 999999999824,
"name": "AHT Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105d0ca84d6f81000e00280b0d3d7ac6180b089fbea01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[291074249384,0,176,1672444800000,31536000000]"
}
}
},
{
"boxId": "66e9e8754098c7903c9469556b60ba2061e7ccb77d7dc6d33b545b0be2c2cbcf",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "8413282cbb81d3a17ffcf0c3d60a2290a3917e7751cab765dbb8b5fbdd291383",
"outputTransactionId": "62189ace66ea88b66a543c1e9fc93474469a546bcc4a590ace51b29b01ea9bcc",
"outputIndex": 1,
"outputGlobalIndex": 30033626,
"outputCreatedAt": 1024549,
"outputSettledAt": 1024551,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(69,23,-82,-43,49,-37,102,86,-109,73,95,-45,84,79,-81,117,113,120,22,80,-100,-80,-104,117,19,-46,73,57,-105,122,-69,-74)\n4: 1\n5: Coll(-33,-11,30,-56,82,99,-38,64,-127,-127,57,76,114,-6,110,-13,-71,-56,32,72,-26,120,60,127,-22,22,66,-52,4,114,-12,20)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "5ASYVJ2w8tH3bDP3DrZFm7CzpUvGFo5nEKxxSTZ6rzB9Yqfij9czHY91nVrvw5oSDEUHkctMAdMWpswvkaebPPtCCiv6YxqS8CmxtamBSu6H74XoHK8qbUQZ7v2MxytiXxvwqn2pKb4Jw9Ta7KT9C9AanPMrnhYsYBeTNtzhfyR3DLQ9841wjwRQJoMxxuSfwvQ6Wwo9P2rYMgAH3KqbE3TXrJiuAqH63KV4fCyUkUnKjBnPi5zf9RrkwuyGo2DKn2tiacKPN3JdxD55FLHKsWyXGYq1LvRRanaz4SwsZWnhudzkUWaZCtMwEctihTEb3jjzFXDoQjmwYVd6WgfP5XP7fLKPZ2ewBfJfzyxg2AxZ1gsrTsTkEjXr6YgXrhJciZkYaLvMQYmKnohTjH6c1gQuw1ohFnTF6Sq1zC3mw47dujhjyQR4ehmtRZkS5i1aHbWQzhPcVHhc4TtECngS7ASdsNaKrunBUgbPH1Uag5RWDog6DoynD6rwd1zpXaLyKhubmqhTNtjEQwB7Lg4u1c4r7N6JYpyZScaE9aCujPE6LzYYyH7MX9tmtaBh3XwfGK52y3AYt3EmmHk9dDEiytdBWQ2NSo1KiyDnm6kvHpHWVEL1ZFYhEa3BwSAodtHmg68yved87dnw8PUoDmmez2Q3qJ",
"assets": [
{
"tokenId": "6c6e6ec794585aeeac8d9a211a270caec3d0fce9c352f8df2cc54b2c32217648",
"index": 0,
"amount": 1,
"name": "AHT Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 1,
"amount": 5657894737,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110200ea85fc888a62",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1684978762101]"
},
"R5": {
"serializedValue": "0e20fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc"
}
}
},
{
"boxId": "38c23ae34eff137dfa817f4134d31538fdd776613c61134a2ff98b1847f79c67",
"value": 24000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"outputTransactionId": "42155ebe17961f14e939c666b3088e0ddc1777ea3ec59f78e88b4f97ef576770",
"outputIndex": 0,
"outputGlobalIndex": 30262513,
"outputCreatedAt": 1030644,
"outputSettledAt": 1030646,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(69,23,-82,-43,49,-37,102,86,-109,73,95,-45,84,79,-81,117,113,120,22,80,-100,-80,-104,117,19,-46,73,57,-105,122,-69,-74)\n4: 1\n5: 1\n6: 1\n7: 2\n8: 0\n9: 3\n10: 1\n11: 1\n12: 1\n13: Coll(-90,30,-71,-100,-92,127,39,-4,-65,-53,52,20,52,49,-97,39,51,-88,-48,13,-93,-8,24,30,-89,-55,-85,32,-102,-34,49,38)\n14: 10000000\n15: 4\n16: 2000000\n17: 5\n18: 2000000\n19: 6\n20: false\n21: 1000000\n22: 2",
"ergoTreeScript": "{\n val coll1 = SELF.R5[Coll[Byte]].get\n val box2 = OUTPUTS(placeholder[Int](0))\n sigmaProp(if (INPUTS(placeholder[Int](1)).tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val tuple5 = SELF.tokens(placeholder[Int](6))\n val box6 = OUTPUTS(placeholder[Int](7))\n val tuple7 = box6.tokens(placeholder[Int](8))\n val box8 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](tuple4._2 == INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._2 + tuple5._2, tuple4._1 == tuple5._1, box6.propositionBytes == coll1, tuple7._1 == box3.R5[Coll[Byte]].get, tuple7._2 == placeholder[Long](12), blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](13), box8.value == placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16), OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18), OUTPUTS.size == placeholder[Int](19)))\n )} else { placeholder[Boolean](20) } || allOf(Coll[Boolean](box2.propositionBytes == coll1, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22))))\n}",
"address": "DV4JyzeK7mPUUxDXDvARv6yzUBLEDHqjT8qghMgNjhgtArERMfkgBYmqkFhudoVCs44AnVUp4afju4W1kCL1QEQVX8pvTNtpHN9jGpp6ZmMBfia1coYgoYVjrepw1cPMzqGU4YMqtqsHeMP48gJULP1YXi7SJAAMnoNabyVCzpBgdGz2kSfrQxWAzZpAhvBuB7G5s7WfcwXV1p9uyLqSW94z9cqaEzUuvXD4z5B7nne1sN6CfpTkvUhiVMj3wLJ4vxRByepEZVEWh49yieae5guvfZJ2kFjKkb5EKpQpppLYLHWtjHtGKaRvjuUdwCs8g3CTmBWyZiDBKPTW2fXJ7nqR1RGMcVKtfb64zdQbQqu9jb4dgHEpxKjrm55j4bQoGkuQDfqzqaDWB2X5MLqHkYW8u65DqtZ8ZKv8r1D4iJJbWVJasx3p1u9NGhvZskvwW1KbgWFQY2LDimVmyaUtbzUfMeir1rQR",
"assets": [
{
"tokenId": "fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc",
"index": 0,
"amount": 1,
"name": "AHT Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 1,
"amount": 296052632,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0]"
},
"R5": {
"serializedValue": "0e240008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "81b3aa48eb1542b064d7f7c3d5db6bbd6d5442db4fac45a6ce5b9ef9d7e42f15",
"transactionId": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 1000000,
"index": 0,
"globalIndex": 30262548,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"ergoTree": "104e0402040004020400040204000400040204020404040404060406040004000408040404080e20dc404e9b407d382bfaeee5a8f0474e1aa8eafcb282efc2f74362f69d138c60070e2018c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d0500040204000406040404020404040005020502040004020580dddb01050205d00f040205020402040204020404040004000502040404000402050201000e209d90e7567d066263104d1afd13bc23a1a259d733507bf1f33cd02155e7ff0df10404050204000e20dff51ec85263da408181394c72fa6ef3b9c82048e6783c7fea1642cc0472f414040205020404050001000402040204000500040404000502050005020500050004000402040004020402040205d00f0100d829d601b2a5730000d602db63087201d603b27202730100d6048c720301d605db6308a7d606b27205730200d6078c720601d6089372047207d609b2a5730300d60adb63087209d60bb2720a730400d60c8c720b02d60d8c720602d60ee4c6a70411d60fb2720e730500d610e4c672090411d611b27210730600d612b27210730700d613b2720e730800d614b2720e730900d615b27210730a00d616b27210730b00d617b2720e730c00d618b2720a730d00d619b27205730e00d61ab2720e730f00d61b9683070193c17209c1a793c27209c2a7938c7218018c721901938c7218028c721902938c720b01720793b1720a731093b27210731100721ad61c7312d61ddb6903db6503fed61e8c720302d61f7313d62086028300027314d621b2a4731500d622db63087221d623b27222731600d6248c722301d62592b1a47317d626e4c672210411d627e4c67221050ed628b2a5731800d629db63087228d1ecec957208958f720c720dd806d62ab27202731900d62b8c722a02d62ce4c672010411d62de4c67201050ed62eb2a5731a00d62fb2db6308722e731b009683030196830601721b9372119a720f722b93721272139372159a7214731c937216721793720c99720d731d9683080193cbc27201721c93b2722c731e00721392b2722c731f0099721d732093722dc5a7720893721e7321938c722a01721f92722b73229683030193c2722ee4c6b2a4732300050e938c722f01722d938c722f027324d807d62ab27202732500d62b8c722a02d62cb2a4732600d62d8cb2db6308722c732701722002d62ee4c672010411d62fe4c67201050ed630b2db6308b2a57328007329009683030196830601721b9372119a720f99722b722d93721272139372157214937216721793720c720d96830a0193c17201c1722c93cbc27201721c93cbc2722c721c93b2722e732a00721393722ee4c6722c041193722fe4c6722c050e720893721e732b938c722a01721f93722b9a722d8cb2db6308b2a4732c01b2a4732d00732e000296830201938c723001722f938c723002732f7330959683020193722473317225d802d62ab2a4733200d62be4c6722a04119683020196830601721b9372129a7213733393721572149372169a7217721a8f7216721d93720c720d96830301938cb2db6308722a73340001733593b2722b733600997213733793b2722b7338007339733a959683030191720f7211722591b17222733bd807d62ab27222733c00d62b99720f7211d62c998c722a02722bd62d8c722a01d62eb27226733d00d62f90722c733ed6309683040196830201937224720793722e7213938cb2db6308b2a4733f0073400001722796830601721b93721199720f722b937212721393721599721495722f73417342937216721793720c9a720d95722f7343734496830201937204722d93721e722b9591722c7345d803d631b272297346017220d632b27229734700d633e4c672280411968303017230968302019683080193c17228c1722193c27228c27221938c7231017224938c7231028c722302938c723201722d938c723202722c93b27233734800722e93b27233734900b27226734a00938cb27202734b01722001722792722c734c7230734d",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(-36,64,78,-101,64,125,56,43,-6,-18,-27,-88,-16,71,78,26,-88,-22,-4,-78,-126,-17,-62,-9,67,98,-10,-99,19,-116,96,7)\n19: Coll(24,-55,56,-31,-110,79,-61,-22,-36,38,110,117,-20,2,-40,31,-25,59,86,-28,-23,-12,-30,104,-33,-1,-4,-77,3,-121,-60,45)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-99,-112,-25,86,125,6,98,99,16,77,26,-3,19,-68,35,-95,-94,89,-41,51,80,123,-15,-13,60,-48,33,85,-25,-1,13,-15)\n50: 2\n51: 1\n52: 0\n53: Coll(-33,-11,30,-56,82,99,-38,64,-127,-127,57,76,114,-6,110,-13,-71,-56,32,72,-26,120,60,127,-22,22,66,-52,4,114,-12,20)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "4517aed531db665693495fd3544faf75717816509cb0987513d24939977abbb6",
"index": 0,
"amount": 1,
"name": "AHT Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6c6e6ec794585aeeac8d9a211a270caec3d0fce9c352f8df2cc54b2c32217648",
"index": 1,
"amount": 999999999824,
"name": "AHT Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110580e9aff0fa1000e00280b0d3d7ac6180b089fbea01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[291370302016,0,176,1672444800000,31536000000]"
}
},
"spentTransactionId": "a30abc5891be217575c1e7e3bf232f264198148cf5f8ab79303a1c7d8f66c108",
"mainChain": true
},
{
"boxId": "1c40076a3d4b68bae36c6660758cf8ed244acc7261bb74afb47527999b929a03",
"transactionId": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 1000000,
"index": 1,
"globalIndex": 30262549,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(69,23,-82,-43,49,-37,102,86,-109,73,95,-45,84,79,-81,117,113,120,22,80,-100,-80,-104,117,19,-46,73,57,-105,122,-69,-74)\n4: 1\n5: Coll(-33,-11,30,-56,82,99,-38,64,-127,-127,57,76,114,-6,110,-13,-71,-56,32,72,-26,120,60,127,-22,22,66,-52,4,114,-12,20)\n6: 1\n7: 0\n8: 0\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 1\n15: 3\n16: 0\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 1\n24: 1\n25: true\n26: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = SELF.R4[Coll[Long]].get\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val bi7 = tuple6._2.toBigInt\n val bool8 = coll2 == placeholder[Coll[Byte]](3)\n val bool9 = INPUTS(placeholder[Int](4)).id == SELF.id\n sigmaProp((if (coll2 == placeholder[Coll[Byte]](5)) {(\n val box10 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](6)))\n val coll11 = box10.R4[Coll[Long]].get\n val coll12 = box10.tokens\n val tuple13 = coll12(placeholder[Int](7))\n val tuple14 = coll5(placeholder[Int](8))\n val tuple15 = coll12(placeholder[Int](9))\n val coll16 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box10.value == SELF.value, box10.propositionBytes == SELF.propositionBytes, coll11(placeholder[Int](10)) == coll3(placeholder[Int](11)) + placeholder[Long](12), coll11(placeholder[Int](13)) == coll3(placeholder[Int](14)), box10.R5[Coll[Byte]].get == coll4, tuple13._1 == tuple14._1, tuple13._2 == tuple14._2, tuple15._1 == tuple6._1, tuple15._2.toBigInt == bi7 + coll16(placeholder[Int](15)).toBigInt * bi7 / coll16(placeholder[Int](16)).toBigInt))\n )} else { placeholder[Boolean](17) } || if (allOf(Coll[Boolean](bool8, bool9, OUTPUTS(placeholder[Int](18)).R4[Coll[Long]].get(placeholder[Int](19)) < box1.R4[Coll[Long]].get(placeholder[Int](20))))) {(\n val box10 = OUTPUTS(placeholder[Int](21))\n if (box10.propositionBytes == SELF.propositionBytes) {(\n val opt11 = box10.R5[Coll[Byte]]\n allOf(Coll[Boolean](if (opt11.isDefined) { opt11.get == coll4 } else { placeholder[Boolean](22) }, OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll4))\n )} else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }) || allOf(Coll[Boolean](bool8, bool9)))\n}",
"address": "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",
"assets": [
{
"tokenId": "6c6e6ec794585aeeac8d9a211a270caec3d0fce9c352f8df2cc54b2c32217648",
"index": 0,
"amount": 1,
"name": "AHT Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
"index": 1,
"amount": 5953947369,
"name": "AHT",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110200ea85fc888a62",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1684978762101]"
},
"R5": {
"serializedValue": "0e20fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc"
}
},
"spentTransactionId": "64bba90aaa82433430f6f288f0c6912f110ba2410460d2be525355e3c3e326da",
"mainChain": true
},
{
"boxId": "bffc93e8bb4ecda082b4d07b6bc41b4f13f3892630f9ae77e34d4214890739fb",
"transactionId": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 10000000,
"index": 2,
"globalIndex": 30262550,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"ergoTree": "0008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(aad970,2f390c,...)))}",
"address": "9fpJdg3nqfqGiPUGG4JtyFURJAoK8Ej9ArX7LuLM3eGXBzoGTic",
"assets": [
{
"tokenId": "fe429d029e54642feef55bd92f42b291f45348872f265d59684c5b8043dd01cc",
"index": 0,
"amount": 1,
"name": "AHT Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0904e899a444bd7ce04ae56a264f7abdf8d0d5ef9537f80f193780efc8652f08",
"mainChain": true
},
{
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"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 10000000,
"index": 3,
"globalIndex": 30262551,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(-33,-11,30,-56,82,99,-38,64,-127,-127,57,76,114,-6,110,-13,-71,-56,32,72,-26,120,60,127,-22,22,66,-52,4,114,-12,20)\n10: 3\n11: 0\n12: 0\n13: Coll(69,23,-82,-43,49,-37,102,86,-109,73,95,-45,84,79,-81,117,113,120,22,80,-100,-80,-104,117,19,-46,73,57,-105,122,-69,-74)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(108,110,110,-57,-108,88,90,-18,-84,-115,-102,33,26,39,12,-82,-61,-48,-4,-23,-61,82,-8,-33,44,-59,75,44,50,33,118,72)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(-123,17,37,-99,83,84,1,105,-93,-18,84,-80,98,-4,-54,96,12,62,103,-70,47,40,-24,-104,27,-91,68,-83,-34,-101,-66,-94)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKDBC95cA5L8d8gPNybJNjCJ96zwS5h9TUqnCeaAYD35ZSAPJ8khDCdwuxLiLe5ek13Tv9FZqK5NwMxj2AxxKfZWatuxqqaCKeJZKnjFbgXGSuyTN3JAxoCoUn5buCC7TU7Shvaaz8LdDnqgESgVzGCwcqf1yuyGKGtxF21sPC7oPSNMJfGBAf2N9gXNWVoLRdTkLqo86gwpSxXJDhqdfn4U2vN13YdaQwswoR7ngdHbHRrR4j5ev5EfYqU7GcZinUP2hLHcNXkQydVfvcQhNs29ZH7MQnqdwAdj5a35HTKSSKZwVumg3Pq8tZWZudVrbooBwBbqtfu3N6VeaEoNa5Jtiz6Kyvpz78cy1ugxiebaSg3aZG5oh8u6gntgqVjLPvhK4dRh73ZsJKaFm15UXu7iHoiCcCygWDmNPDgHFR1BYxfw9W86CFhxrFnssMz8uBAr3tcdPgnEy8beVAsL3rn5P78Ct6SSk7gksb64xpFkkLoALbna5XT3yFrdQjQBw9QFsDVuZs64b9C9tmEjBKECKPAkeT2NAM8LnhAYVLJyE88SwQ3ixCGEZYX5do2JLmh7jo7TmHZ7Su3oigvhApmgAVeUSiqkukwqRG2JqSCYJTPLhCA6mTXeqH9zXgHZ6KCx1x9Bp9pmuitsu7RdnrPc1xsyfN9T22ct2FnTcUaGqbRnFVnrN323ZqALgHvqwryqeULbjvhjBCEVAxacXyYieJFnh747RERmLaa86XbWRap6inrpHaGciuS4AgCLXLhdQ1jMgjeutzK28vFPvGuk4Qx2uenNsKXFigatJmfvM1RLcct42zhu4zQwpCBz7yNxBs7mXECLtti1ZfFNNHPmQ1EdKZEh2jR74CbtgPxV4U4Yiecv7q5gV5TQDhENuupWVUs6B9gJro6ZtGAbMCiRHn74K5qc2vJiDBRb7q8XhH3h32ydVgKCk7BgNVjNoLrgA",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "27ce3eef41075fc2929645cebeea75a79e49fb88d27e8fdeb26b434df3067f6c",
"transactionId": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 2000000,
"index": 4,
"globalIndex": 30262552,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c145013fe0438df53246aaef1daca2515af2e5f8e4df1f3ae3539af5303bedd7",
"mainChain": true
},
{
"boxId": "6912caa98cfb37d235641078e65fb104dbe761ad67e98ce1fd7e52a1f97e8ddf",
"transactionId": "d4091a89ee623db82837e39a461ffbfc92ab2f8948d8108d63dc430874fa10b5",
"blockId": "7af57223a58f413bca4fae7e948b0faeb2ad76f1373e944faf976c9c43acd48d",
"value": 2000000,
"index": 5,
"globalIndex": 30262553,
"creationHeight": 1030644,
"settlementHeight": 1030646,
"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": "3fcb23986a734c0005e57feff8b271d56cd87fda110e0650e1048bea89d01cd8",
"mainChain": true
}
],
"size": 3224,
"isUnconfirmed": false
}