Transaction
ID: bb77ef159f...8a8f
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.115 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: 598,400
Total coins transferred: 0.116 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000607 ERG
Raw Transaction Data
{
"id": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"inclusionHeight": 1159240,
"timestamp": 1702979887683,
"index": 4,
"globalIndex": 6290594,
"numConfirmations": 598400,
"inputs": [
{
"boxId": "1894c4226a90127c4af4403f237fd31b59a6d284dce4ae6cfaf144b4b58f760f",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b031bfd8211b6cecfe8e18a0e195f2d566f00ae8ca5656fcec4aa7098f265177",
"outputTransactionId": "9d5ec9b186f58341c655882a88c2a4109ef0ecbea18b50fafa2e83e0e94892fc",
"outputIndex": 0,
"outputGlobalIndex": 34842309,
"outputCreatedAt": 1150178,
"outputSettledAt": 1150180,
"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(-84,13,55,20,104,-95,-27,127,113,-60,118,12,91,25,-35,67,20,-102,54,-124,-68,-94,-38,78,-103,-119,76,109,-120,-87,12,-16)\n19: Coll(8,-66,-114,-8,-101,-71,-62,102,61,-10,-72,33,-1,-68,-110,23,-54,22,-58,101,64,32,-88,-75,-2,28,116,-29,124,39,-126,-3)\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(34,2,-101,-51,96,-78,62,75,10,105,38,-53,-3,83,-95,-58,16,4,3,-33,14,109,27,63,-84,-127,14,-47,-38,81,-86,94)\n50: 2\n51: 1\n52: 0\n53: Coll(82,28,53,-113,-4,-4,8,123,33,31,-84,81,-107,108,-119,-29,38,27,-15,30,109,-11,17,-99,-78,97,-77,-20,-121,119,69,-67)\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": "d3c7ce0fc494b4d91ae1925aafc24f3c9202ec55d620e030df3fdae3dcbd3ae9",
"index": 0,
"amount": 1,
"name": "Ergo_Crux_LP Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b187a8e347d53f9e42cfd725b27986b06c9078f8f3a9e3f27e92a6f59b4dbfdd",
"index": 1,
"amount": 999999999975,
"name": "Ergo_Crux_LP Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105ecbbe98bb5060032808086ebc77580b089fbea01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[110205153014,0,25,2019686400000,31536000000]"
}
}
},
{
"boxId": "1303a8563776ca989e8588136397f04ecb2ca2d507a8b5e9bb5c4fa9fc8951a0",
"value": 115000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"outputTransactionId": "73693bf14b3243a8e770464c62652971a17e0d70eeaf50603e68ec6fae42e7b0",
"outputIndex": 0,
"outputGlobalIndex": 35184908,
"outputCreatedAt": 1159238,
"outputSettledAt": 1159240,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-45,-57,-50,15,-60,-108,-76,-39,26,-31,-110,90,-81,-62,79,60,-110,2,-20,85,-42,32,-32,48,-33,63,-38,-29,-36,-67,58,-23)\n3: 1\n4: 2\n5: 0\n6: 3\n7: 4\n8: 5\n9: 1\n10: 0\n11: 1\n12: 0\n13: 1\n14: Coll(41,-97,-39,103,-55,-83,-27,110,-124,-33,-126,-41,8,37,-76,-47,103,63,-8,92,-47,-121,83,-96,-103,-110,-122,-11,87,-107,-34,46)\n15: 100000000\n16: 0\n17: 2000000\n18: 0\n19: 2000000\n20: 0\n21: 6\n22: false\n23: 0\n24: 1000000\n25: 2\n26: false",
"ergoTreeScript": "{\n val bool1 = INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)\n sigmaProp(if (bool1) {(\n val box2 = OUTPUTS(placeholder[Int](3))\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val box5 = OUTPUTS(placeholder[Int](6))\n val box6 = OUTPUTS(placeholder[Int](7))\n val box7 = OUTPUTS(placeholder[Int](8))\n allOf(Coll[Boolean](box2.tokens(placeholder[Int](9)) == SELF.tokens(placeholder[Int](10)), box2.R4[Coll[Long]].get(placeholder[Int](11)) == SELF.R4[Coll[Long]].get(placeholder[Int](12)), box3.propositionBytes == SELF.R5[Coll[Byte]].get, tuple4._1 == box2.R5[Coll[Byte]].get, tuple4._2 == placeholder[Long](13), blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14), box5.value == placeholder[Long](15), box5.tokens.size == placeholder[Int](16), box6.value == placeholder[Long](17), box6.tokens.size == placeholder[Int](18), box7.value == placeholder[Long](19), box7.tokens.size == placeholder[Int](20), OUTPUTS.size == placeholder[Int](21)))\n )} else { placeholder[Boolean](22) } || if (!bool1) {(\n val box2 = OUTPUTS(placeholder[Int](23))\n allOf(Coll[Boolean](box2.propositionBytes == SELF.R5[Coll[Byte]].get, box2.value == SELF.value - placeholder[Long](24), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](25)))\n )} else { placeholder[Boolean](26) })\n}",
"address": "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",
"assets": [
{
"tokenId": "08be8ef89bb9c2663df6b821ffbc9217ca16c6654020a8b5fe1c74e37c2782fd",
"index": 0,
"amount": 147999322,
"name": "Ergo_00b42b41_LP",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101a88490989063",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1702979830036]"
},
"R5": {
"serializedValue": "0e240008cd02f93d1f8f74b9425070b0aab5b693b300a0ea206154d046d4835204878a08bd8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02f93d1f8f74b9425070b0aab5b693b300a0ea206154d046d4835204878a08bd8a"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7ae99301b6bfc0e55f74d096c3d26919bc261ff8c08a1e5b81db47408282a873",
"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 1000000,
"index": 0,
"globalIndex": 35184915,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"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(-84,13,55,20,104,-95,-27,127,113,-60,118,12,91,25,-35,67,20,-102,54,-124,-68,-94,-38,78,-103,-119,76,109,-120,-87,12,-16)\n19: Coll(8,-66,-114,-8,-101,-71,-62,102,61,-10,-72,33,-1,-68,-110,23,-54,22,-58,101,64,32,-88,-75,-2,28,116,-29,124,39,-126,-3)\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(34,2,-101,-51,96,-78,62,75,10,105,38,-53,-3,83,-95,-58,16,4,3,-33,14,109,27,63,-84,-127,14,-47,-38,81,-86,94)\n50: 2\n51: 1\n52: 0\n53: Coll(82,28,53,-113,-4,-4,8,123,33,31,-84,81,-107,108,-119,-29,38,27,-15,30,109,-11,17,-99,-78,97,-77,-20,-121,119,69,-67)\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": "S4acZXugtiBfKrQhbHiBUwvZfN1w95hTTScQ3gg56ZcQzFeJkarTsBUs7wwS21PCpMNzeSeVGo8TMT27b1amn6TsbRLD9huKYkWZNdqGhSBQMXMtaaQs2JENt7vgJX2yeFovcfbNV6bim49jKJ147SVwjkBAAVbLr5xVKR3D3WRDmHaqNLFk6igYZMaGi3aWT6fYUL28y9Mhkqwnpr4cfoFLMNh4C15xxAPfQTebcxTXSANvHGCkgWX7DiA971ifVSh133bvHHyu7u8mHoXfV2Ruf6bWxJ82NdeKjHKAWYwGbw38UvnoCApB5c1YQ5FuBjxyY3i1tJMnWKhrhxsrLd7RqgqFUUQXLVVTJuVDwKKdRutCbYXYCJhFdE9TccqdKRmosHoSQL9L6CCkGhhACuFfEg7hDniZTUrwbTTiNAFzsob6rSktzjirYA2oZLhkfecngwJRzVBtSdbozz6BkiPNbHc5jMkrbHfTZ1eU4RdD1vsEygZ47WyBsA2CH3Vh4FnuoipU99VgCrUmetYpYEJrQsH2Am4YWZUWT8QdMBuTtshtabByk85xe22V8cown5pRL7fkPpLY7YWyTU8d5XPaxNBrmaMyTCnHhivYv2ZTpKPJc5qqSjwnXPMuyo9S6LS1bKvSoYHbv1coW2dM2UkXH4rcLgrTH5QCdUYA5nHhwi9PTjJdMHw2rhiasQVcP2VAL1xLPtnRJ9UUZL1HirJUnCoKfy1mSyWDDMgs6ekrKoLKPcaBk1jkX4JS5PwpnSpJ6qo8k7EaWNaa6EwDKATf1AtrHDLiXi273i4MnaYW52H3j2A3oS8shXixrCDKQTp2tFo2b5s9YKsQtpzuyCzJBn84QKqDHTC94ku7TN4pL1nJEFJFc1zVDGejaSqzq3TwUuvKds35GKecCcbjfZex4rzbvDvra4oiFLs1GiSeB2mgD3uZjLJY3TyYrx9zNQPLHDmkUiwpUMPN6rr6JMDLLJYH6XzEGniabLNuuBgEdYCMhmkkVfCqJkoF6m6FrWsgS3rVDjjPUrDcuQ2HdCqGWnVhVNTQHu5C9ewFuc6eyH8vyS5dgVtinZQ29TsmukKKwJQehBmXSoKEWiFmqeiZbUnJyo5zpEeAgB9yho2GZCXpJgz3ZUwuPzS8uq8kyRioVroChL2afCtEQsHkQ1X7U9sTn7aeNdVx9PL5xiyFbKg5QFSsRMHyKfitXVsxFc4ZzuGwkV11JX6TE6ihGd17vRSWxqoY6F4wF8GfLiyxYbVtdW93A1sxjrMqiG1kg29HrTsny7dbdDW6oPUuDzDehx8Y16YgBHTubKZccqRcb7ErjDEq8DpmJKaFqH7kcDT3QKxuePhbN69jkyW2XNCfCRcEmUmHCT5rGaumdx8nfqLLeqdwLNG2e5wpsu2aKqmeigWbjMdtVSNi3uC67TgoTSPw2L6SWWdQeHamDELJtMCKa3uu6hPX3PQ3wmGK81AG78Cz5PfzSQ59CnBwS1JdjyoNWnshUCMK6fztHg1rtB2UpEhctDXrPzkMw6FjLGo33D2XZYQ6Wfv5PbuQmjxww7LHNuYfggnkHhjnuss6Qj8Y6QTQdkdsmpwq9KcRckiFf7PLXjm87ScS3g6EHnjPf6F6Prb2mJDUeJLeLHbTBDLv3Ldq2oe7jfYQXbEVYMB4DAcxL1s5Rk424mgGbz6db1eJswksCKgMvMxsfWr6QPLFTRQ5qjPDKArFt6C4r1ESk6nhtV1kKoyj89VtJzcTst5Lmcfim8VjwGBjK3HDpcdkzvv2jbhHQaDeiJJUP85jDSgciDTTeFAi5JJhTPSm4rn35fumU9AtsdTQr96949Ty11ih4FGiupCVwDRJQpu9BnvpD1X9L9aghaVNsgNueQGANRnZXoinmT5SACGUcGJVAV3Fu2u3tCqqwjDtsdKyncVrN248cFZ93bVEaYz2mFZY1Jw5Rs29rN9y96QJhktZZN4TYE7XQrkHFfEnAkc4uK5GszfoXt5Xj3VjxUXy",
"assets": [
{
"tokenId": "d3c7ce0fc494b4d91ae1925aafc24f3c9202ec55d620e030df3fdae3dcbd3ae9",
"index": 0,
"amount": 1,
"name": "Ergo_Crux_LP Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b187a8e347d53f9e42cfd725b27986b06c9078f8f3a9e3f27e92a6f59b4dbfdd",
"index": 1,
"amount": 999999999974,
"name": "Ergo_Crux_LP Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105a0e5fb98b6060034808086ebc77580b089fbea01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[110353152336,0,26,2019686400000,31536000000]"
}
},
"spentTransactionId": "00ed901bb75a82af2b8b54d90bcf05b62b09f7db66e123b5d513e5ce27762c52",
"mainChain": true
},
{
"boxId": "3f9ebda3b8da876d5eb2dee88fe2a83937b79f2b830dbd30f423879a70bc8a0a",
"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 1000000,
"index": 1,
"globalIndex": 35184916,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-45,-57,-50,15,-60,-108,-76,-39,26,-31,-110,90,-81,-62,79,60,-110,2,-20,85,-42,32,-32,48,-33,63,-38,-29,-36,-67,58,-23)\n4: 1\n5: Coll(82,28,53,-113,-4,-4,8,123,33,31,-84,81,-107,108,-119,-29,38,27,-15,30,109,-11,17,-99,-78,97,-77,-20,-121,119,69,-67)\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": "b187a8e347d53f9e42cfd725b27986b06c9078f8f3a9e3f27e92a6f59b4dbfdd",
"index": 0,
"amount": 1,
"name": "Ergo_Crux_LP Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "08be8ef89bb9c2663df6b821ffbc9217ca16c6654020a8b5fe1c74e37c2782fd",
"index": 1,
"amount": 147999322,
"name": "Ergo_00b42b41_LP",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110200a88490989063",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1702979830036]"
},
"R5": {
"serializedValue": "0e201894c4226a90127c4af4403f237fd31b59a6d284dce4ae6cfaf144b4b58f760f",
"sigmaType": "Coll[SByte]",
"renderedValue": "1894c4226a90127c4af4403f237fd31b59a6d284dce4ae6cfaf144b4b58f760f"
}
},
"spentTransactionId": "11c2c828e6872ad3e17cc6aa858849a9c67d39db4da719964b0f97eb562c3e0a",
"mainChain": true
},
{
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"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 10000000,
"index": 2,
"globalIndex": 35184917,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"ergoTree": "0008cd02f93d1f8f74b9425070b0aab5b693b300a0ea206154d046d4835204878a08bd8a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f93d1f,d21f50,...)))}",
"address": "9gQpz4owBWhQz3hbcFchp4nm4is6pQG9nvNs9UKG48L6Kke58jA",
"assets": [
{
"tokenId": "1894c4226a90127c4af4403f237fd31b59a6d284dce4ae6cfaf144b4b58f760f",
"index": 0,
"amount": 1,
"name": "Ergo_Crux_LP Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e164572676f5f437275785f4c50205374616b65204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4572676f5f437275785f4c50205374616b65204b6579"
},
"R5": {
"serializedValue": "0e4e7b226f726967696e616c416d6f756e745374616b6564223a203134373939393332322c20227374616b6554696d65223a2022323032332d31322d31392030393a35373a31302e303336303030227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a203134373939393332322c20227374616b6554696d65223a2022323032332d31322d31392030393a35373a31302e303336303030227d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "fdfd09dcfb8418bf4a613ded6ca7dce055e2ee874dbc93a21a4a564f85287844",
"mainChain": true
},
{
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"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 100000000,
"index": 3,
"globalIndex": 35184918,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"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(82,28,53,-113,-4,-4,8,123,33,31,-84,81,-107,108,-119,-29,38,27,-15,30,109,-11,17,-99,-78,97,-77,-20,-121,119,69,-67)\n10: 3\n11: 0\n12: 0\n13: Coll(-45,-57,-50,15,-60,-108,-76,-39,26,-31,-110,90,-81,-62,79,60,-110,2,-20,85,-42,32,-32,48,-33,63,-38,-29,-36,-67,58,-23)\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(-79,-121,-88,-29,71,-43,63,-98,66,-49,-41,37,-78,121,-122,-80,108,-112,120,-8,-13,-87,-29,-14,126,-110,-90,-11,-101,77,-65,-35)\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(-88,-127,36,-42,-54,-122,83,52,-52,62,-2,125,-5,62,24,5,-62,-67,63,-68,21,9,-25,-63,93,61,91,-5,102,-111,70,46)\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": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "2c3cb28f7dfa4fe3593701773f65ebef4ba4b339439bcaf2827f9a0749b525e5",
"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 2000000,
"index": 4,
"globalIndex": 35184919,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "340ca3feb910b3a10ba1c4f185f6a48afd340d5ca7c4b283cfd1b025a9009fed",
"mainChain": true
},
{
"boxId": "2d82bf7c4632386d76c4bd54fa4bf5e082eee955ca3f16c0cb9a6612b03c076a",
"transactionId": "bb77ef159f5e4af29339a5b239245d63453eb095180360617481dfd233ea8a8f",
"blockId": "da87b59b50e5f4670a1b8ddf9bb47a40f6cd1a5c19aa9b38da8de5165906722e",
"value": 2000000,
"index": 5,
"globalIndex": 35184920,
"creationHeight": 1159238,
"settlementHeight": 1159240,
"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": "ca734f0e70bd5682de0980e6b80ffc2083810873428b57b773620517b6a44e97",
"mainChain": true
}
],
"size": 3295,
"isUnconfirmed": false
}