Transaction
ID: cf4822c970...7ee9
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:
146,556.38
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...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
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: 901,378
Total coins transferred: 0.116 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000606 ERG
Raw Transaction Data
{
"id": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"inclusionHeight": 854916,
"timestamp": 1666036539249,
"index": 1,
"globalIndex": 4177265,
"numConfirmations": 901378,
"inputs": [
{
"boxId": "f8c8395b6db1d10387044a67ed02e78caeb9be89aea74707d0ed468a0d7382bf",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8975592d59c0ebcdfec4eea934bcbbfa2b84eb0acc32b7d35f4812b0e2f6a763",
"outputTransactionId": "461268a7ead8d5c026166927fddd5b412679aeb2924c04233b26b6c67639425a",
"outputIndex": 0,
"outputGlobalIndex": 22671029,
"outputCreatedAt": 854911,
"outputSettledAt": 854914,
"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(57,-56,60,58,97,112,124,61,-127,31,103,92,-32,-23,10,-18,40,121,-111,66,47,63,73,13,1,24,50,53,51,112,-33,95)\n19: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\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(-118,79,25,-78,126,-2,-86,50,-114,-101,-96,63,7,82,37,55,19,-26,-76,119,-51,-71,-22,125,94,-120,87,-26,113,-60,-114,96)\n50: 2\n51: 1\n52: 0\n53: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\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": "9e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b",
"index": 0,
"amount": 1,
"name": "NETA Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 1,
"amount": 999999998816,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105d8b4d6e8cb935060c01280eaded2fc6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[176258454048044,48,1184,1665997200000,86400000]"
}
}
},
{
"boxId": "e27c0abc97f2c733b0f79888099a3aeae8ff5876e3a015ec57aa2de29d7e93ff",
"value": 115000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "8d1a8bf358900ca09aefebc0841a299e49e23195c1ab9163c9779261e8a6284c",
"outputTransactionId": "252ffc8b14048c773e48f52295f228d34c2e07da2db40662dd4a2a5647d2fe73",
"outputIndex": 0,
"outputGlobalIndex": 22670790,
"outputCreatedAt": 854909,
"outputSettledAt": 854911,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n3: 1\n4: 2\n5: 0\n6: 3\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: Coll(-98,60,0,50,-115,3,90,-81,-18,-94,89,-28,28,94,-1,-75,64,-105,-60,104,-18,99,24,38,-29,-58,97,-36,-55,-68,26,75)\n13: 100000000\n14: 4\n15: 2000000\n16: 5\n17: 2000000\n18: 6\n19: false\n20: 0\n21: 1000000\n22: 2\n23: 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 allOf(Coll[Boolean](box2.tokens(placeholder[Int](7)) == SELF.tokens(placeholder[Int](8)), box2.R4[Coll[Long]].get(placeholder[Int](9)) == SELF.R4[Coll[Long]].get(placeholder[Int](10)), box3.propositionBytes == SELF.R5[Coll[Byte]].get, tuple4._1 == box2.R5[Coll[Byte]].get, tuple4._2 == placeholder[Long](11), blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](12), box5.value == placeholder[Long](13), OUTPUTS(placeholder[Int](14)).value == placeholder[Long](15), OUTPUTS(placeholder[Int](16)).value == placeholder[Long](17), OUTPUTS.size == placeholder[Int](18)))\n )} else { placeholder[Boolean](19) } || if (!bool1) {(\n val box2 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](box2.propositionBytes == SELF.R5[Coll[Byte]].get, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22)))\n )} else { placeholder[Boolean](23) })\n}",
"address": "9RPe1XUt1eWcE8SeSjinriNmrGdMwXK4bbU2xhW3gyJ2j5RAAjrwyPjLuBZpKJGwGCrufVauHgMJmEgnoZH4pBrqGWzYY1538ZHXRA2dCtCNyCgrcS16R3CTFBQ4oZGWviEBHiE2zANhAmJpbFPv5bXp3uYev8jq1hVmVukJ9XFL4re1LwLRzkMDo9RqY6bTHYqjvDbPHHbS7fiYHnKYDr58CCcCHzf72J2G5rBGesbb23NxpLt3oAbU9ZvuzdJ7fr6ZxJBAtjRHtPYEw1Q5mAhcMviSBpamWsCkbduSQwzD3964GzmKVeXKZ7U4oBvWxobRAmNXKEetDhzeXBAKDfMuhdevBQbPMzL2vYgkDdFycFT1a6zTqdbSNAwRKcEhV6yU9uuv8pWqRJm7RzFgoFaUVQyqmemdcULGVyKZMCXr1s78DXFe7yEfBuRhjSwjEcforCQV597rgEzNPLvRG7ZUz6tj",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 146556377776,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101ccf7e8f7fc60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1666036080102]"
},
"R5": {
"serializedValue": "0e240008cd03b6eb4cd7108989f710fa43a3a26732b0a9ff419a9e0e3caced75b5d5b290e7b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03b6eb4cd7108989f710fa43a3a26732b0a9ff419a9e0e3caced75b5d5b290e7b3"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "bd7000203925c471ab2f5c966a041150befd636103c7bdc73acd9bff632a03de",
"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 1000000,
"index": 0,
"globalIndex": 22671340,
"creationHeight": 854914,
"settlementHeight": 854916,
"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(57,-56,60,58,97,112,124,61,-127,31,103,92,-32,-23,10,-18,40,121,-111,66,47,63,73,13,1,24,50,53,51,112,-33,95)\n19: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\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(-118,79,25,-78,126,-2,-86,50,-114,-101,-96,63,7,82,37,55,19,-26,-76,119,-51,-71,-22,125,94,-120,87,-26,113,-60,-114,96)\n50: 2\n51: 1\n52: 0\n53: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\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": "9e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b",
"index": 0,
"amount": 1,
"name": "NETA Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 1,
"amount": 999999998815,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105b89fdddf8f9c5060c21280eaded2fc6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[176405010425820,48,1185,1665997200000,86400000]"
}
},
"spentTransactionId": "67be6fa0766677061c82c1788e36490a62cf389cec57e7973743b1cadae91efb",
"mainChain": true
},
{
"boxId": "f0af547307cba49510beb68a8a343ecb8f592a206aefc42ded092eda0d87fd38",
"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 1000000,
"index": 1,
"globalIndex": 22671341,
"creationHeight": 854914,
"settlementHeight": 854916,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\n4: 1\n5: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\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": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
"index": 0,
"amount": 1,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 146556377776,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110260ccf7e8f7fc60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[48,1666036080102]"
},
"R5": {
"serializedValue": "0e20f8c8395b6db1d10387044a67ed02e78caeb9be89aea74707d0ed468a0d7382bf",
"sigmaType": "Coll[SByte]",
"renderedValue": "f8c8395b6db1d10387044a67ed02e78caeb9be89aea74707d0ed468a0d7382bf"
}
},
"spentTransactionId": "6274deba875f9f753cb0e455a86517986e5ddbe0cc37f5f234097afa9c5cb409",
"mainChain": true
},
{
"boxId": "ec83c0531c6d692826854dfc521271dbc8c6994916a133c660c9f40c395353f7",
"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 10000000,
"index": 2,
"globalIndex": 22671342,
"creationHeight": 854914,
"settlementHeight": 854916,
"ergoTree": "0008cd03b6eb4cd7108989f710fa43a3a26732b0a9ff419a9e0e3caced75b5d5b290e7b3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b6eb4c,90e765,...)))}",
"address": "9hrN7eSr2yYs4vLF5SJCbbcJ7CMxsUWC7dCmQqXCsLuXVY7T8B6",
"assets": [
{
"tokenId": "f8c8395b6db1d10387044a67ed02e78caeb9be89aea74707d0ed468a0d7382bf",
"index": 0,
"amount": 1,
"name": "NETA Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0e4e455441205374616b65204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e455441205374616b65204b6579"
},
"R5": {
"serializedValue": "0e577b226f726967696e616c416d6f756e745374616b6564223a203134363535362e33373737373539393939382c20227374616b6554696d65223a2022323032322d31302d31372031393a34383a30302e313032303030227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a203134363535362e33373737373539393939382c20227374616b6554696d65223a2022323032322d31302d31372031393a34383a30302e313032303030227d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "a9c9f1b4100135b884a5a16637a244dd5d4661c1f8ac11069af2292669842af9",
"mainChain": true
},
{
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"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 100000000,
"index": 3,
"globalIndex": 22671343,
"creationHeight": 854914,
"settlementHeight": 854916,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "c1b822057119d21233998bb031cb0776aa60a66a85cff39c08c0f98ceabcb6eb",
"mainChain": true
},
{
"boxId": "105d7c02272c9faeaa168297abd4bf232e736d83a49d2cb6b362577265bb0dca",
"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 2000000,
"index": 4,
"globalIndex": 22671344,
"creationHeight": 854914,
"settlementHeight": 854916,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "4ea22a4d904a85fa0373b5165f9d0a1eb3d83a0a8475b8e3e2684ce08ec7d4fb",
"mainChain": true
},
{
"boxId": "2af30c830f8ada06d59dd6421cb567899a938c47afc34bfdfb50bebff211f1a1",
"transactionId": "cf4822c97095cfee21bb370fbb14fe5d91f886d155ca30a85f63abf2cac87ee9",
"blockId": "aa06551caa7f1617485f9e30bd8d682b515f4354ceb5900ae5456a5d6a4ec629",
"value": 2000000,
"index": 5,
"globalIndex": 22671345,
"creationHeight": 854914,
"settlementHeight": 854916,
"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": "01cc30f0fe19e9ea2e250c4c60e0386c1c6654c0461f96406ea9caad3885813d",
"mainChain": true
}
],
"size": 3298,
"isUnconfirmed": false
}