Transaction
ID: 375ed16385...9d87
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:
2.21 ERG
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.21 ERG
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: 985,387
Total coins transferred: 2.21 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000282 ERG
Raw Transaction Data
{
"id": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"inclusionHeight": 771276,
"timestamp": 1655146641309,
"index": 1,
"globalIndex": 3353498,
"numConfirmations": 985387,
"inputs": [
{
"boxId": "865ad5c30a91e851c3919b2deffa36b0a2a151aed304a55443cf2a6205f71f8a",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "97a02e013b6a58be660ca69404f0809ca136561d655db43d9964be4d079d232a",
"outputTransactionId": "43b45d1df232e5fb1a461910a87b1ec674e131ed8f4cb27bafcc90487ad959cf",
"outputIndex": 0,
"outputGlobalIndex": 17846269,
"outputCreatedAt": 771270,
"outputSettledAt": 771272,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val l38 = coll32(placeholder[Int](75))\n val l39 = coll11(placeholder[Int](76))\n val tuple40 = coll24(placeholder[Int](77))\n val l41 = tuple40._2 - l35\n val bool42 = l41 == placeholder[Long](78)\n val coll43 = tuple40._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n placeholder[Long](84)\n } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n placeholder[Long](88)\n } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n 90\n )) {(\n val box44 = OUTPUTS(placeholder[Int](91))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](92))\n val tuple47 = coll45(placeholder[Int](93))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n Long\n ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
"index": 0,
"amount": 1,
"name": "ergopad Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
"index": 1,
"amount": 999997310,
"name": "ergopad Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105a4c5eae942d201842ac8b68a94ab6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8969343314,105,2690,1655059860900,86400000]"
}
}
},
{
"boxId": "c2d1c19628f63c8aa49933af9ba7791d23a858cbdcd3508d8707aa3d9207fe10",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6046ab8860ea58cc8a88483f5038ad636ed565fa5b954fff36ba70e64404f9a9",
"outputTransactionId": "f441ec3a77d34acaddc77c085f8a2bfc6345656fa93048d0c73c67f3f84bf54c",
"outputIndex": 1,
"outputGlobalIndex": 17806020,
"outputCreatedAt": 770569,
"outputSettledAt": 770571,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtakdSAgJ92fQ8ZjuKirWAw8tyDuyJrXP6sKHVpCz8XbMANK3BVJ1k3WD6ovQKTCasjKL5WMncRB6V9HvmMnJ2WbxYYjtLFS9sifDNXJWugrNEgoVK887bR5oaLZA95yGkMeXVfanxpNDZYaXH9KpHCpC5ohDtaW1PF17b27559toGVCeCUNti7LXyXV8fWS1mVRuz2PhLq5mB7hg2bqn7CZtVM8ntbUJpjkHUc9cP1R8Gvbo1GqcNWgM7gZkr2Dp514BrFz1cXMkv7TYEqH3cdxX9c82hH6fdaf3n6avdtZ5bgqerUZVDDW6ZsqxrqTyTMQUUirRAi3odmMGmuMqDJbU3Z1VnCF9NBow7jrKUDSgckDZakFZNChsr5Kq1kQyNitYJUh9fra1jLHCQ9yekz3te9E",
"assets": [
{
"tokenId": "0d01f2f0b3254b4a1731e1b61ad77641fe54de2bd68d1c6fc1ae4e7e9ddfb212",
"index": 0,
"amount": 1,
"name": "ergopad Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 1,
"amount": 29023596942,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[29300000]"
}
}
},
{
"boxId": "a6ebf42b994a9f8f99e086c978e9671df65b7e16aa591fbcd32cce360909299f",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "edfe46c21eb6a0d0c63021fee9975b9ad1c8d426f2ad49a58e1b4e2ee7d33d69",
"outputTransactionId": "94f9e1458b2b359b4cca306f4247ae536ca8a9c78a4d9605cb1721582c5f5831",
"outputIndex": 0,
"outputGlobalIndex": 17809269,
"outputCreatedAt": 770584,
"outputSettledAt": 770591,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n2: 0\n3: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(16,40,-34,115,-48,24,-16,-55,-93,116,-73,21,85,-59,-72,-15,57,9,-108,-14,-12,22,51,-25,-71,-42,-113,119,115,87,-126,-18)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "0549ea3374a36b7a22a803766af732e61798463c3332c5f6d86c8ab9195eed59",
"index": 0,
"amount": 1,
"name": "ergopad Emission",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 1,
"amount": 1358,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11049ae8e28143d00100c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8994445837,104,0,29300000]"
}
}
},
{
"boxId": "6b1ed58b4aa82cb51d7ed1f2d2878ad9727fe66ca6ac51ed9817ceb7dc1896f0",
"value": 2211050000,
"index": 3,
"spendingProof": null,
"outputBlockId": "edfe46c21eb6a0d0c63021fee9975b9ad1c8d426f2ad49a58e1b4e2ee7d33d69",
"outputTransactionId": "94f9e1458b2b359b4cca306f4247ae536ca8a9c78a4d9605cb1721582c5f5831",
"outputIndex": 42,
"outputGlobalIndex": 17809311,
"outputCreatedAt": 770584,
"outputSettledAt": 770591,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-58,106,127,-36,-128,58,104,-54,82,102,106,-92,11,5,105,73,-34,-58,36,45,-21,109,-41,-123,87,51,-74,100,-115,122,4,-100)\n2: Coll(63,-80,22,-12,-21,54,-1,123,34,38,-4,94,-28,86,-75,-43,77,5,-30,40,73,-1,83,89,-110,21,-82,-4,-121,-90,-117,53)\n3: 2\n4: 3\n5: 1\n6: 4000000\n7: 4\n8: 3000000\n9: 1\n10: 0\n11: 0\n12: Coll(16,40,-34,115,-48,24,-16,-55,-93,116,-73,21,85,-59,-72,-15,57,9,-108,-14,-12,22,51,-25,-71,-42,-113,119,115,87,-126,-18)\n13: 0\n14: 1\n15: false\n16: 900000\n17: 750000\n18: 1000000\n19: 500000\n20: 1\n21: 2\n22: 3\n23: 0\n24: 100000000\n25: 1\n26: 500000\n27: 2\n28: 1000000\n29: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = blake2b256(box1.propositionBytes)\n val coll3 = placeholder[Coll[Byte]](1)\n if ((coll2 == placeholder[Coll[Byte]](2)) && (blake2b256(INPUTS(placeholder[Int](3)).propositionBytes) == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](5)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 6\n ), OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](9)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](10)) { (coll9(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box7.R4[Coll[Long]].get(placeholder[Int](13)) == box1.R4[Coll[Long]].get(placeholder[Int](14))) } else { placeholder[Boolean](15) }\n }).size\n val i8 = placeholder[Int](16) + placeholder[Int](17) * i7\n val i9 = placeholder[Int](18) + placeholder[Int](19) * i7\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - i8.toLong, OUTPUTS(i4).value == i8 - i9.toLong, OUTPUTS(i4 + placeholder[Int](20)).value == i9.toLong, i4 == i7 + placeholder[Int](21))))\n )} else { if (OUTPUTS.size == placeholder[Int](22)) {(\n val box4 = OUTPUTS(placeholder[Int](23))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Int](26) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28))))\n )} else { sigmaProp(placeholder[Boolean](29)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "09dc79d4baf21bf5a2baaad55209ac046aca05100830a9a01f8f8f40292103c6",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 1000000,
"index": 0,
"globalIndex": 17846496,
"creationHeight": 771273,
"settlementHeight": 771276,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n6: 0\n7: 0\n8: 4\n9: 4\n10: 2\n11: 1\n12: 1\n13: 2\n14: 0\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 3\n22: 3\n23: 1\n24: Coll(37,-73,72,107,26,120,100,122,-41,-43,10,40,126,94,-107,-117,78,69,42,75,-56,105,56,-55,66,24,-41,6,-68,55,127,-16)\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 0\n34: Coll(13,1,-14,-16,-77,37,75,74,23,49,-31,-74,26,-41,118,65,-2,84,-34,43,-42,-115,28,111,-63,-82,78,126,-99,-33,-78,18)\n35: 3\n36: 2\n37: 1\n38: 3\n39: 0\n40: Coll(5,73,-22,51,116,-93,107,122,34,-88,3,118,106,-9,50,-26,23,-104,70,60,51,50,-59,-10,-40,108,-118,-71,25,94,-19,89)\n41: 1\n42: 1\n43: 2\n44: 0\n45: 1\n46: 1\n47: 2\n48: 2\n49: 3\n50: 0\n51: 0\n52: 3\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: -999999999999\n59: 1\n60: 604800000\n61: 8\n62: 0\n63: 6\n64: 5\n65: 100\n66: 4\n67: 125\n68: 1000\n69: 2\n70: 20\n71: 100\n72: 25\n73: 100\n74: 2\n75: 0\n76: 1\n77: 1\n78: 0\n79: 0\n80: 0\n81: 1\n82: 2\n83: 2\n84: 1\n85: 0\n86: 3\n87: 3\n88: 1\n89: 0\n90: 0\n91: 2\n92: 0\n93: 1\n94: 1000\n95: 0\n96: 1\n97: true\n98: 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.R4[Coll[Long]].get\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = tuple6._2\n val coll13 = box9.tokens\n val tuple14 = coll13(placeholder[Int](4))\n val l15 = tuple14._2\n val l16 = CONTEXT.preHeader.timestamp\n val l17 = tuple3._2\n val coll18 = placeholder[Coll[Byte]](5)\n val tuple19 = coll13(placeholder[Int](6))\n val tuple20 = coll5(placeholder[Int](7))\n val l21 = coll11(placeholder[Int](8))\n val bool22 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple19._1 == tuple20._1, tuple19._2 == tuple20._2, tuple14._1 == coll7, coll10(\n placeholder[Int](9)\n ) == l21, coll13.size == placeholder[Int](10)\n )\n )\n if (bool8) {(\n val tuple23 = coll2(placeholder[Int](11))\n val l24 = tuple23._2\n val l25 = coll11(placeholder[Int](12))\n val coll26 = box1.R4[Coll[Long]].get\n val coll27 = box1.R5[Coll[Byte]].get\n val box28 = OUTPUTS(placeholder[Int](13))\n val tuple29 = box28.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, coll10(placeholder[Int](15)) == coll11(placeholder[Int](16)) + l24, coll10(placeholder[Int](17)) == l25, coll10(\n placeholder[Int](18)\n ) == coll11(placeholder[Int](19)) + placeholder[Long](20), coll10(placeholder[Int](21)) == coll11(placeholder[Int](22)), l15 == l12 - placeholder[\n Long\n ](23), blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](24), coll26(placeholder[Int](25)) == l25, coll26(\n placeholder[Int](26)\n ) >= l16 - placeholder[Long](27), coll27 == SELF.id, bool8, l17 == placeholder[Long](28), tuple23._1 == coll18, l24 >= placeholder[Long](\n 29\n ), box28.propositionBytes == INPUTS(placeholder[Int](30)).propositionBytes, tuple29._1 == coll27, tuple29._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val box23 = INPUTS(placeholder[Int](32))\n val coll24 = box23.tokens\n val tuple25 = coll24(placeholder[Int](33))\n val coll26 = tuple25._1\n if ((coll26 == placeholder[Coll[Byte]](34)) && (INPUTS.size >= placeholder[Int](35))) {(\n val box27 = INPUTS(placeholder[Int](36))\n val coll28 = box27.R4[Coll[Long]].get\n val l29 = coll11(placeholder[Int](37))\n val l30 = coll10(placeholder[Int](38))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool22, box27.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), coll28(placeholder[Int](41)) == l29 - placeholder[Long](42), coll28(\n placeholder[Int](43)\n ) == placeholder[Long](44), coll10(placeholder[Int](45)) == l29 + placeholder[Long](46), coll10(placeholder[Int](47)) == coll11(\n placeholder[Int](48)\n ), l30 == coll11(placeholder[Int](49)) + l21, l30 < l16, l15 == l12\n )\n )\n )\n )} else {(\n val l27 = coll11(placeholder[Int](50))\n val l28 = coll10(placeholder[Int](51))\n if ((l27 > l28) && (INPUTS.size >= placeholder[Int](52))) {(\n val func29 = {(coll29: Coll[Box]) => coll29.fold(placeholder[Long](53), {(tuple31: (Long, Box)) =>\n val coll33 = tuple31._2.tokens\n val l34 = tuple31._1\n if (coll33.size == placeholder[Int](54)) { l34 } else {(\n val coll35 = coll33.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll18 })\n val i36 = coll35.size\n if (i36 == placeholder[Int](55)) { l34 + coll35(placeholder[Int](56))._2 } else { if (i36 == placeholder[Int](57)) { l34 } else { placeholder[Long](58) } }\n )}\n }) }\n val l30 = func29(INPUTS)\n val l31 = func29(OUTPUTS)\n val coll32 = box23.R4[Coll[Long]].get\n val l33 = coll32(placeholder[Int](59))\n val l34 = l16 - l33 / placeholder[Int](60).toLong\n val l35 = l27 - l28\n val l36 = if (l34 >= placeholder[Long](61)) { placeholder[Long](62) } else {\n if (l34 >= placeholder[Long](63)) { l35 * placeholder[Long](64) / placeholder[Long](65) } else {\n if (l34 >= placeholder[Long](66)) { l35 * placeholder[Long](67) / placeholder[Long](68) } else {\n if (l34 >= placeholder[Long](69)) { l35 * placeholder[Long](70) / placeholder[Long](71) } else {\n l35 * placeholder[Long](72) / placeholder[Long](73)\n }\n }\n }\n }\n val box37 = INPUTS(placeholder[Int](74))\n val l38 = coll32(placeholder[Int](75))\n val l39 = coll11(placeholder[Int](76))\n val tuple40 = coll24(placeholder[Int](77))\n val l41 = tuple40._2 - l35\n val bool42 = l41 == placeholder[Long](78)\n val coll43 = tuple40._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n l30 > placeholder[Long](79), l31 > placeholder[Long](80), l30 - l31 == l36, bool22, box37.tokens.exists(\n {(tuple44: (Coll[Byte], Long)) => tuple44._1 == box23.R5[Coll[Byte]].get }\n ), l38 == l39, l28 == l27 - l35, coll10(placeholder[Int](81)) == l39, coll10(placeholder[Int](82)) == coll11(placeholder[Int](83)) - if (bool42) {\n placeholder[Long](84)\n } else { placeholder[Long](85) }, coll10(placeholder[Int](86)) == coll11(placeholder[Int](87)), l15 == l12 + if (bool42) {\n placeholder[Long](88)\n } else { placeholder[Long](89) }, box1.propositionBytes == box37.propositionBytes, coll4 == coll43, l17 == l35 - l36, if (l41 > placeholder[Long](\n 90\n )) {(\n val box44 = OUTPUTS(placeholder[Int](91))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](92))\n val tuple47 = coll45(placeholder[Int](93))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box44.value == box23.value, tuple46._1 == coll26, tuple46._2 == tuple25._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[\n Long\n ](94), coll48(placeholder[Int](95)) == l38, coll48(placeholder[Int](96)) == l33\n )\n )\n )} else { placeholder[Boolean](97) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "05cde13424a7972fbcd0b43fccbb5e501b1f75302175178fc86d8f243f3f3125",
"index": 0,
"amount": 1,
"name": "ergopad Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1028de73d018f0c9a374b71555c5b8f1390994f2f41633e7b9d68f77735782ee",
"index": 1,
"amount": 999997310,
"name": "ergopad Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105c884e38543d401842ac8a6bde6ab6080f0b252",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8998641956,106,2690,1655146260900,86400000]"
}
},
"spentTransactionId": "e66189498689032882a1328b0a5f74f2095131e8224dbd53159d4efc791a5c23",
"mainChain": true
},
{
"boxId": "ca93cfc67c2b7ee62bf616fdef59dda734132149fe1175321d8effac878418d5",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 1000000,
"index": 1,
"globalIndex": 17846497,
"creationHeight": 771273,
"settlementHeight": 771276,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 0\n12: 0\n13: 1\n14: 1\n15: 0\n16: 0\n17: 0\n18: 0\n19: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](11))._1 == coll4(placeholder[Int](12))._1, if (l8 > l9) {(\n val tuple10 = coll3(placeholder[Int](13))\n (tuple10._1 == tuple5._1) && (tuple10._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](14) }, box2.R4[Coll[Long]].get(placeholder[Int](15)) == l9, OUTPUTS(placeholder[Int](16)).R4[Coll[Long]].get(placeholder[Int](17)) == box1.R4[Coll[Long]].get(placeholder[Int](18)) + l9 - l7))\n )\n )} else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "9hXmgvzndtakdSAgJ92fQ8ZjuKirWAw8tyDuyJrXP6sKHVpCz8XbMANK3BVJ1k3WD6ovQKTCasjKL5WMncRB6V9HvmMnJ2WbxYYjtLFS9sifDNXJWugrNEgoVK887bR5oaLZA95yGkMeXVfanxpNDZYaXH9KpHCpC5ohDtaW1PF17b27559toGVCeCUNti7LXyXV8fWS1mVRuz2PhLq5mB7hg2bqn7CZtVM8ntbUJpjkHUc9cP1R8Gvbo1GqcNWgM7gZkr2Dp514BrFz1cXMkv7TYEqH3cdxX9c82hH6fdaf3n6avdtZ5bgqerUZVDDW6ZsqxrqTyTMQUUirRAi3odmMGmuMqDJbU3Z1VnCF9NBow7jrKUDSgckDZakFZNChsr5Kq1kQyNitYJUh9fra1jLHCQ9yekz3te9E",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "ergopad Stake Pool",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 1,
"amount": 28994298300,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[29300000]"
}
},
"spentTransactionId": "cf460f7c6cc4f3868688ac0cd7016db0c20a64ce29a8ba86687d3e7edb5bb256",
"mainChain": true
},
{
"boxId": "9d13c2cc5cec9d917b868c6289e17fe002725cf5d24776247b9617f42a578688",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 1000000,
"index": 2,
"globalIndex": 17846498,
"creationHeight": 771273,
"settlementHeight": 771276,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n2: 0\n3: Coll(5,-51,-31,52,36,-89,-105,47,-68,-48,-76,63,-52,-69,94,80,27,31,117,48,33,117,23,-113,-56,109,-113,36,63,63,49,37)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(16,40,-34,115,-48,24,-16,-55,-93,116,-73,21,85,-59,-72,-15,57,9,-108,-14,-12,22,51,-25,-71,-42,-113,119,115,87,-126,-18)\n27: 0\n28: 1\n29: false\n30: 3\n31: 0\n32: 0\n33: 1\n34: 0\n35: 0\n36: 1\n37: 1\n38: 0\n39: 1\n40: 1\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 } else { l10 }, coll11(placeholder[Int](20))._1 == coll9(\n placeholder[Int](21)\n )._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](22))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](23))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](24)) { (coll9(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && (box7.R4[Coll[Long]].get(placeholder[Int](27)) == SELF.R4[Coll[Long]].get(placeholder[Int](28))) } else { placeholder[Boolean](29) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](30))\n val l10 = coll8(placeholder[Int](31))\n val l11 = coll7.fold(placeholder[Long](32), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](33))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](34))._1 == coll5(placeholder[Int](35))._1, if (l6 <= l11) { coll4.size == placeholder[Int](36) } else {(\n val tuple13 = coll4(placeholder[Int](37))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](38)) == l10, coll12(placeholder[Int](39)) == coll8(placeholder[Int](40)), coll12(placeholder[Int](41)) == coll8(placeholder[Int](42)) - coll7.size.toLong, coll12(placeholder[Int](43)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](44)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "0549ea3374a36b7a22a803766af732e61798463c3332c5f6d86c8ab9195eed59",
"index": 0,
"amount": 1,
"name": "ergopad Emission",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 1,
"amount": 29300000,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104a4c5eae942d201842ac0d4f81b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8969343314,105,2690,29300000]"
}
},
"spentTransactionId": "70c8c99d8ba482ef6c3c1cad824960e15863edda605e817c76bf62928ca8e7a9",
"mainChain": true
},
{
"boxId": "8448dc0b67b53a210a449011e66fda5f60500abd7c03fc6ea17939b2c0f80c98",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 2207050000,
"index": 3,
"globalIndex": 17846499,
"creationHeight": 771273,
"settlementHeight": 771276,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-58,106,127,-36,-128,58,104,-54,82,102,106,-92,11,5,105,73,-34,-58,36,45,-21,109,-41,-123,87,51,-74,100,-115,122,4,-100)\n2: Coll(63,-80,22,-12,-21,54,-1,123,34,38,-4,94,-28,86,-75,-43,77,5,-30,40,73,-1,83,89,-110,21,-82,-4,-121,-90,-117,53)\n3: 2\n4: 3\n5: 1\n6: 4000000\n7: 4\n8: 3000000\n9: 1\n10: 0\n11: 0\n12: Coll(16,40,-34,115,-48,24,-16,-55,-93,116,-73,21,85,-59,-72,-15,57,9,-108,-14,-12,22,51,-25,-71,-42,-113,119,115,87,-126,-18)\n13: 0\n14: 1\n15: false\n16: 900000\n17: 750000\n18: 1000000\n19: 500000\n20: 1\n21: 2\n22: 3\n23: 0\n24: 100000000\n25: 1\n26: 500000\n27: 2\n28: 1000000\n29: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = blake2b256(box1.propositionBytes)\n val coll3 = placeholder[Coll[Byte]](1)\n if ((coll2 == placeholder[Coll[Byte]](2)) && (blake2b256(INPUTS(placeholder[Int](3)).propositionBytes) == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](4))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](5)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 6\n ), OUTPUTS(placeholder[Int](7)).value == placeholder[Long](8)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](9)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](10)) { (coll9(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box7.R4[Coll[Long]].get(placeholder[Int](13)) == box1.R4[Coll[Long]].get(placeholder[Int](14))) } else { placeholder[Boolean](15) }\n }).size\n val i8 = placeholder[Int](16) + placeholder[Int](17) * i7\n val i9 = placeholder[Int](18) + placeholder[Int](19) * i7\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - i8.toLong, OUTPUTS(i4).value == i8 - i9.toLong, OUTPUTS(i4 + placeholder[Int](20)).value == i9.toLong, i4 == i7 + placeholder[Int](21))))\n )} else { if (OUTPUTS.size == placeholder[Int](22)) {(\n val box4 = OUTPUTS(placeholder[Int](23))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Int](26) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28))))\n )} else { sigmaProp(placeholder[Boolean](29)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1c8c921fa5312949e4364f3f97ee70d019b397cce016f132b695c7382938a477",
"mainChain": true
},
{
"boxId": "3a98a2543c1faad7b43aaca1ad88fec8c7d30de05344b42bcab71d6bfaf0164a",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 3000000,
"index": 4,
"globalIndex": 17846500,
"creationHeight": 771273,
"settlementHeight": 771276,
"ergoTree": "0008cd02189de19138f8100735a0e6ae37a7f37a5640e3ee0342a32a2253e452b72aa88d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189de1,376f1f,...)))}",
"address": "9ehuKHss4az1ybubQH2kTLiVuuiJDSdRfGp4gB6BGqCXfHZjtEu",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "6b954415d26b1116654bdbddf9809b603ecd6152b8dbc2da18cf0955f558fbdb",
"mainChain": true
},
{
"boxId": "4a2b43970aa4d5d1293ca3b2f35b0dfd29a25afab6984aa8abd55cbad6b3bfc0",
"transactionId": "375ed16385af8d720adbd049edb17d628629be679fbfe4dfd5fc5b0fc5049d87",
"blockId": "32ac78281567eabedddd312a76f1709229e5d8bbd744b4ff0618d6a38e99b95a",
"value": 1000000,
"index": 5,
"globalIndex": 17846501,
"creationHeight": 771273,
"settlementHeight": 771276,
"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": "8d8be559c7826a43de4b9913786f95dcf02b34ad9145f6a7c54cc0790d956511",
"mainChain": true
}
],
"size": 3552,
"isUnconfirmed": false
}