Transaction
ID: 7d9aa1917a...714f
Inputs (4)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Outputs (7)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
350.69
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 906,423
Total coins transferred: 0.103 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000247 ERG
Raw Transaction Data
{
"id": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"inclusionHeight": 850314,
"timestamp": 1665480614061,
"index": 32,
"globalIndex": 4139483,
"numConfirmations": 906423,
"inputs": [
{
"boxId": "cebf180acbbbb1415cf940f51f4ea944c4cedba3b0cb7bbf2192a5fe6b43751a",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "053ae56f691c4f649ceb90d20bc001cdc4a302c00ec23a8b3fe80c7dd89e3fcc",
"outputTransactionId": "3c47d1e9d0d2defc49794912fe55eb02a255c18c135b4822baa09368dc363614",
"outputIndex": 0,
"outputGlobalIndex": 22431656,
"outputCreatedAt": 850296,
"outputSettledAt": 850298,
"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": 999999998904,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105d89a8afca08f4a52901180dafa91f86080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[162989844022956,41,1096,1665392400000,86400000]"
}
}
},
{
"boxId": "72dceb84bad5e9059033688b7bde0ee9427f11c8156b4874171741cb7e8f3023",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b5e01948e4c4ecf4ace3d8d529185fb1949a3be7f5a305f9fd75ef9a39300008",
"outputTransactionId": "bdd35b5e7a16fe0c2fef9a640ef96ff5d183fca714e461cf44351255b96ec605",
"outputIndex": 1,
"outputGlobalIndex": 22393969,
"outputCreatedAt": 849616,
"outputSettledAt": 849619,
"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: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "8a4f19b27efeaa328e9ba03f0752253713e6b477cdb9ea7d5e8857e671c48e60",
"index": 0,
"amount": 1,
"name": "NETA Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 4962171018063,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110180e5b3a48502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[35069000000]"
},
"R5": {
"serializedValue": "0e2066c9c4204c9efb7213875dc705b65d2b51a46ccb926073d389b15569d1d24e93",
"sigmaType": "Coll[SByte]",
"renderedValue": "66c9c4204c9efb7213875dc705b65d2b51a46ccb926073d389b15569d1d24e93"
}
}
},
{
"boxId": "b1ba189cf501e003d3b76e3642e774cdddb8347655ca0da8796038b7e2e44b50",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "5aa85e9fae29a6f98dffa29f3e3e102403abd81db96b8cefb1db2e5cd2f23f6a",
"outputTransactionId": "f407fb7cbbf6fb1b97f8704d6448671767fa2759b4b31173eba95892c9a82309",
"outputIndex": 0,
"outputGlobalIndex": 22395416,
"outputCreatedAt": 849630,
"outputSettledAt": 849632,
"ergoTree": "102d0400040404020e20472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8040004000e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b0404040604000402040205000402040004060400040605c8010400040001000402040004000e20a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0040004020100040606010004020400040004000402040204000404040004040404040404060100d807d601b2a4730000d602c5a7d603b2a5730100d604b2a4730200d6057303d606b2a5730400d607db6308a7d1ec9596830201938cb2db6308720173050001730693c5b2a47307007202d807d608e4c672030411d609b27208730800d60ab2e4c672040411730900d60bdb6308a7d60c9a8cb2db63087204730a00028cb2720b730b018602830002730c02d60ddb63087203d60eb2720d730d009683070193c17203c1a793c27203c2a793b47208730e730fb4e4c67201041173107311937209958f720a720c99720a9d720a7312720c938cb2720d731300018cb2720b73140001938c720e017205938c720e02720973159593c572017202d807d608db63087206d6097e8cb272077316000206d60ab5a4d9010a63d801d60cdb6308720a9591b1720c7317ed938cb2720c73180001731993b2e4c6720a0411731a00b2e4c6a70411731b00731cd60be4c6a70411d60cb2720b731d00d60db0720a731ed9010d42639a8c720d019d9c7e8cb2db63088c720d02731f0002067e720c067eb2720b73200006d60ee4c6720604119683070193c17206c1a793c27206c2a7938cb27208732100018cb272077322000195907209720d93b172087323d801d60fb27208732400ed938c720f017205927e8c720f0206997209720d93b4720e73257326b4720b7327732893b2720e73290099b2720b732a007eb1720a0593b2720e732b00720c732c",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: 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)\n4: 0\n5: 0\n6: 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)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "eZyDUDr8H4GxiHNB3ANrEzZPMtJ1bEaymcKjxwNRFobC1JwaRP7oi6AZpAYG2jb8WkxtJpbMvv46StLsdBtzir5CxGDuoxzgq4YQnimcaSPGPL5tRRvy1VVugBrmCQumB68UeFfCTEBZuUhSxiL9WbaMMSC8XDBWx8sF8Yi6XJ5VRBs7SwFYBGGpLUHdyCs1Lrg7JbLfCcE9wafuXZ2scMkCo2N7Q4kyXoiAjK4o6TX31S9uycFcqitczwNhjqQ2QrwCKg1AKRAHEJ1XUf8QvmKKTTKczMVktTvGttPtsshxGdYawtXas4NqUikqKTuGyVof2hCYLJNZJUcKUa8XhGyGbVBUo45H3dBmPHGh5gCmdGm9HCaM3Jdg2zv7J2xChdyrhYtLbe6BBHmjH8BjCfNG5L6AnddxtRiNyqLFzT1kXzYsHr1aXBih51r6ewU853LEiv2dGSB9tZ3NzuuJ9aLEq8BoAmTWrpVToUhJCz8FWxAd1cCpjNBHnP3uCDsW3rBS2vURbtgDcccowJnbQKbBEAWJSjPMnYYYMp9mAHe8dhswbK9eredMRQyau8dD8wjq3cj21q8bximxAaapXkV1yWaukeQ2EaLPNbePKgewdtdDzvDMmjaBr6qGYs49nYyBLU6cfMpqHGTUfs4NTNKNbFXovd8LWaXnbZc2NhCRwnU6mV39Lg42yafHvfU7rGi29mwrvMeziDGoDAHxkWRdJBAnBuaFCP8r8coibfW66takdkedzUCtTA7y4zPo2LhRKTDgmpUndnd5GXmmExrzWiHZZB8LQDogeRQ5zs6o3ZvjkwpaEHwSknBXbro5zJt8uvaH4vtih1CC4S2Ga4pvSedumScqos2wU34YpdZz2Nsko19ugdZz7apiepAJgzdY7hmRr2ZtWM6yifAt9195qsgzHfATaDbJ8jsGZwfo2k2JRXXDRJk4EoqzuB7nByAKGvJ3a8",
"assets": [
{
"tokenId": "3f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4",
"index": 0,
"amount": 1,
"name": "NETA Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 544,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110492e88fb69a894a5000e0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[162885886147081,40,0,34718310000]"
}
}
},
{
"boxId": "e9c6ffa9db7328e6d34c7254cb12a32fcdd811900bcfdc2bef6f058697d9d071",
"value": 100000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "4c6ff0a0dcf02218069e1b7895ec97c07149f0d58a1af6b8c4118e84a0daf2cd",
"outputTransactionId": "519c8bf9f1e5c22686ec13413ba4bf1702bc283cde81150fd22188aa5f601808",
"outputIndex": 3,
"outputGlobalIndex": 22420739,
"outputCreatedAt": 850040,
"outputSettledAt": 850042,
"ergoTree": "102f048084af5f04060400040205c0843d04040580897a010005000e203f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d40406040004000e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b0404040004020100040805809bee020580897a0580897a040a05809bee02040c0580897a0100040004020400040004000e20a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c004000402010005c0843d05e0a7120580897a05c09a0c040404020100040004000e2066c9c4204c9efb7213875dc705b65d2b51a46ccb926073d389b15569d1d24e930100d80ad601c1a7d60295968302019072017e73000593b1a57301d802d602b2a5730200d603c2a7968303019683020191c17202720193c27202720393c1b2a57303009c73047eb1b5a4d901046393c2720472030593c1b2a573050073067307d603b1a4d60486028300027308d6057309d606c2a7d6079595927203730a96830301938cb2db6308b2a4730b00730c01720401730d938cb2db6308b2a4730e00730f01720401720593c5b2a4997203731000c5a77311d801d607b2a5731200968303019683020192c17207999999720173137314731593c27207720693c1b2a5731600731793c1b2a57318007319731ad608b2a4731b00d609997203731cd60a9596830201938cb2db63087208731d01720401720593c5b2a4720900c5a7d805d60ab1b5a4d9010a63d801d60cdb6308720a9591b1720c731e96830201938cb2720c731f0001732093b2e4c6720a0411732100b2e4c6720804117322007323d60bb2a5720900d60c7e720a05d60d9a73249c7325720cd60e9a73269c7327720c968304019372039a720a73289683020192c1720b99997201720d720e93c2720b720693c1b2a5720300720d93c1b2a59a7203732900720e732ad1ececec72027207720a95efecec72027207720a938cb2db6308b2a5732b00732c0001732d732e",
"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": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "07bec30682b549a030360e52d3f5b37202d2e2ada88b48b63e9cb5fdf6505aa8",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 1000000,
"index": 0,
"globalIndex": 22432745,
"creationHeight": 850310,
"settlementHeight": 850314,
"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": 999999998904,
"name": "NETA Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105f88b85d2a3914a54901180caade4f86080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[163024562332412,42,1096,1665478800000,86400000]"
}
},
"spentTransactionId": "fab3b8c1b13165020690f24069083208dd82319fdda12ca86d1118ffc7e3e7ff",
"mainChain": true
},
{
"boxId": "f21f8d00afa0b66bbac152e321875e78760351442a6a3834e12e84f3e597ddbc",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 1000000,
"index": 1,
"globalIndex": 22432746,
"creationHeight": 850310,
"settlementHeight": 850314,
"ergoTree": "101d040004000e209e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b0402040204020404040404020500040005c80104060400040004020402040004000400040204000e240008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec0580897a01010100040004000100d802d601b2a4730000d602c5a7d1ec9596830201938cb2db6308720173010001730293c5b2a47303007202d80cd603b2a5730400d604db63087203d605db6308a7d606b27205730500d607db6308b2a4730600d6089592b1720773078cb27207730800027309d6099a8c7206027208d60ae4c6a70411d60bb2720a730a00d60c8c720601d60d9d720b730bd60eb2a5730c00968302019683070193c17203c1a793c27203c2a7938cb27204730d00018cb27205730e000195917209720bd801d60fb27204730f0096830201938c720f01720c938c720f02997209720b93b17204731093e4c672030411720a93e4c67203050ee4c6a7050e93b2e4c6b2a57311000411731200999ab2e4c67201041173130099720b720d72089591b172047314d801d60fb2db6308720e7315009683040193c2720e731693c1720e7317938c720f01720c938c720f02720d731873199593c572017202938cb2db6308b2a5731a00731b0001e4c6a7050e731c",
"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: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "8a4f19b27efeaa328e9ba03f0752253713e6b477cdb9ea7d5e8857e671c48e60",
"index": 0,
"amount": 1,
"name": "NETA Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 4927102018607,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110180e5b3a48502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[35069000000]"
},
"R5": {
"serializedValue": "0e2066c9c4204c9efb7213875dc705b65d2b51a46ccb926073d389b15569d1d24e93",
"sigmaType": "Coll[SByte]",
"renderedValue": "66c9c4204c9efb7213875dc705b65d2b51a46ccb926073d389b15569d1d24e93"
}
},
"spentTransactionId": "f3a717b5377abe9cfc304f871e2d1face8f2267fa7a6d84370a9d3f3f0433865",
"mainChain": true
},
{
"boxId": "18fa9549de191a7ec4716f4107614e30aa4edd2db1dd8d56733c51f96394f75a",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 1000000,
"index": 2,
"globalIndex": 22432747,
"creationHeight": 850310,
"settlementHeight": 850314,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: 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)\n4: 0\n5: 0\n6: 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)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3f38af5d8ce0549390feb2e1a0cd614c865d7578425683bcdb0101630e1a66d4",
"index": 0,
"amount": 1,
"name": "NETA Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 1,
"amount": 34718310000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104d89a8afca08f4a529011e0f9fad58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[162989844022956,41,1096,34718310000]"
}
},
"spentTransactionId": "dd06221afa4d50f27d70814c608d33ee14208e8b169d04b8142cd429fc4adf69",
"mainChain": true
},
{
"boxId": "d95cee0c71791fcc6f39181960187cc786a988b751e5bb4545a4c361dd0ccaba",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 1000000,
"index": 3,
"globalIndex": 22432748,
"creationHeight": 850310,
"settlementHeight": 850314,
"ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
"address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 350690000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fb5ac3f9f9f347bb570b502181fc5c364f3e7fc8e50e31a57a03d180af85cac9",
"mainChain": true
},
{
"boxId": "b6e67b3a41be6ea64743d2f91d1387bebc03f442f2ca83c2ae972a4f6ae739e1",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 95000000,
"index": 4,
"globalIndex": 22432749,
"creationHeight": 850310,
"settlementHeight": 850314,
"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": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKD7gwAnWg5yBqHYy5kg7nTN6bpMgs7kHgqWYYgf4GJs7gTSX3WF3eSLAA3te48rxQchtAJdapuGoyM614kuAbyqQdHBQrYprv1WzHFNmq5dh2hHCQwd3Ms3LNvUARYY2zwW16kpkm7PTUKJV4zMfGMxwaB5gAWWDTs8Pi6S2HoGdtKjEnYotz8NvvwsYTLJbmow19dV82SpNktyht2vDJBLBavQqU2uJRfX7fM49QBVb2x3ENatD6snxU7q2rvo84QGKoov9WkrW2VMBwQyPxBBDjHGpHEwdRV2DbbfLhpWfPQhY9QoSvH1VzeBaeLPM4EF9onjptVmjF6zLcjyopuArondqrfxc72WnuKiNpWdsEPjTQSNtJzzLKW2rhM4m5SZEnZU89rZN6tmDarULAmqNwZRhWGZcrfq76Mw3Pb57bhHeiBcyyR58Hmfd5r6iEN5QXwdNfTtVk2CfHqmQB1qXDxQfvAENhQAgvuREhrBcG1v1EQVs5ZmaDzbMja6yiJZipZVFmv97vNU3uX2R8PzYcpQgpKUPM6KZFHaA8ooYnFS92rK9Ma8kVGinFmw1WUkQbxUUpL9fvGASgRScmr2N9mdPSmc4ECkyQ94bpkA2wZuzErt9kpNWBL2WQJD5rsWXSQFp3n7EFZDxHVnVSGAArTDiP7nhVJXq3ZVwhbmwkB1zaHHSVH9ojeNkbce768oBnDkHVQtJADRJoRi9hoxWCVC9DamBvyKLa6kyDXyEMVa7JK5SgWBvrMwi2NCsXzbSTCSSQxgY3oPbf4jJDpD7PKrds5NqyznG4eqLGPENZwAHR4iqdiUkxMiNdxZkebgwRtBsQwqoMXxB3cU1Uqy9o1hWU3dqMefcDddqrY6vFYewTDpGL5ZNduUadBCcafXiDKpDhMK4jLVxQxwdCWwBETvbX32BxiCCV8o2qYmruCysNCCv18fkHKxpax8QweP9",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "60805167d30363842203472b8528d94ea98a5e5ac99e5eb1b4100091ec155fd5",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 3000000,
"index": 5,
"globalIndex": 22432750,
"creationHeight": 850310,
"settlementHeight": 850314,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5a9c958fbdf542c8577ca87910dfc454c88c307a921d7b7f95b59dc4ff2c8cf4",
"mainChain": true
},
{
"boxId": "ad335585d1ee0a87466972e18d02cbba936ff8ec07460ad7e9d8f2f6a2c047b1",
"transactionId": "7d9aa1917a2dc9d00751fa3ca665336cca024a73d93b32b5ae4fd01af191714f",
"blockId": "4c949eacb71233d5c3410113b35ee63f3b7aedc5f731a02f1bef6a53c937423c",
"value": 1000000,
"index": 6,
"globalIndex": 22432751,
"creationHeight": 850310,
"settlementHeight": 850314,
"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": "62c854c7fa0b4da1d9e1a0b4447ffeb85d121deb7e5edc19ebbeb083246bfda6",
"mainChain": true
}
],
"size": 4046,
"isUnconfirmed": false
}