Transaction
ID: 4e2cfc2bad...c87e
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (5)
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:
300
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Transaction Details
Confirmations: 571,124
Total coins transferred: 0.007 ERG
Fees: 0.003 ERG
Fees per byte: 0.000001514 ERG
Raw Transaction Data
{
"id": "4e2cfc2badc2ef8899dad5a214ee6da33b6dea07e399135163ccef23ab61c87e",
"blockId": "636e7592f5af89cdfce2b6461f437475b555d42905b8c28bbb62e4dad3f7eba3",
"inclusionHeight": 1194180,
"timestamp": 1707211562893,
"index": 4,
"globalIndex": 6590171,
"numConfirmations": 571124,
"inputs": [
{
"boxId": "bf2a615d7efdf6a771cedde40d28ce20788a0d493b4b8323ce8e58fc69e04dc6",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "debcd8b08ce203b8f4667092bdba5d2494e9806c2a9bde599c6631cdb70ec38d",
"outputTransactionId": "63f0480ab50d6602f707fbd9b495dfc07e7efe314dad6b90675b64262a323948",
"outputIndex": 0,
"outputGlobalIndex": 36707172,
"outputCreatedAt": 1193923,
"outputSettledAt": 1193925,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(46,-98,85,125,-125,90,-112,-28,-22,-8,84,-36,-119,-15,-47,-122,89,-21,118,-60,40,80,-117,85,-95,-47,-52,54,-32,1,-72,88)\n1: 0\n2: Coll(60,107,-57,126,26,101,1,-28,-19,-114,-46,-128,-5,90,98,-33,62,120,-70,75,4,-34,-63,-49,108,-115,54,-71,44,88,117,-15)\n3: 0\n4: Coll(8,-27,-58,-119,119,108,-97,9,10,-110,-48,-7,10,3,25,107,43,66,39,20,29,-37,111,74,27,-127,-16,-14,-77,22,44,-104)\n5: 0\n6: 150\n7: 150\n8: 100\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1500000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 720\n44: 0\n45: 0\n46: 0\n47: 0\n48: 600000000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](47))\n if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n val box36 = OUTPUTS(placeholder[Int](51))\n val tuple37 = box36.tokens(placeholder[Int](52))\n (((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "9e158d9ef310cd8d5d8fbb7701bedd43a705cc3326fdb40d5d197f7b2b2b33f9",
"index": 0,
"amount": 8999999010000000,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "598092f40100",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[2000000,0]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "0580cab5ee01",
"sigmaType": "SLong",
"renderedValue": "250000000"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05a0e29101",
"sigmaType": "SLong",
"renderedValue": "1194128"
}
}
},
{
"boxId": "f308295dddc0b719baeb33a01201f510daaac3bca20df8e7dac61c9f8634f782",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3376bedccb42226b6167514cfe334bd4fb593d4bd93c96eedf20882ff857951a",
"outputTransactionId": "dfbc2498b9a84ac9f7074006d03794e7fa493195d791332228c9578c36dd6c23",
"outputIndex": 1,
"outputGlobalIndex": 36707409,
"outputCreatedAt": 1193931,
"outputSettledAt": 1193934,
"ergoTree": "101204000e209e158d9ef310cd8d5d8fbb7701bedd43a705cc3326fdb40d5d197f7b2b2b33f904000100042804000400048084af5f010004000400010104000400048084af5f040204000402d803d601db6501fed60291b172017300d6037301957202d801d604b27201730200ea02ea02ea02ea02cde4c6a70607d195ed7202e6c6720404058f7ea305e4c6720404057303d1917ea3059ae4c6a708057e730405d195ed720291b1db630872047305d801d605b2db63087204730600ed938c7205017203918c7205027e7307057308d1afa5d9010563d801d607db630872059591b172077309af7207d901084d0e948c7208018cb2db6308a7730a0001730bd801d604b2db6308b2a4730c00730d00d1eded938c7204017203918c7204027e730e05aeb4a5730fb1a5d9010563eded93c27205e4c6a7070e93b2db63087205731000b2db6308a773110093e4c67205040ec5a7",
"ergoTreeConstants": "0: 0\n1: Coll(-98,21,-115,-98,-13,16,-51,-115,93,-113,-69,119,1,-66,-35,67,-89,5,-52,51,38,-3,-76,13,93,25,127,123,43,43,51,-7)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihba3fyv8NUPfNc51WQf1BMCxyMf5mX2KGweANnzMLbJCnmeCC67rK6hUbAzP3uFQDCUPibwDog8c3BuR17dJwUmrKDUHria3heFE2uhiES24UBAnKMMieFC8EnD9huoH27x4A5S4GoPeeRfPNmkdrEazZMMVdQsLRyrz7NPomqfFgUKiStkdzH8TSSzNDx116xjgUz8VXSxCPT6pkS5LBfhh82kBBBXfN5qH8crG8ZRdfsE4e4HMQt1gipDr8FoXkuWiRoqprbiVdkvD1XEV3vrgo64Wb5axxhaEjn6r5QPRZnBWnqS4TWWxSzs2d44m5N4Suxx5DxckyA8dLAdXsGC2Z7rpkrtYKqw5xB7YaLxMmcUB429nP6cCrn1nNPcmnFijeg5QDgF5b6TnwFCYfNJmp1gwvzppyiwCC8cLJPAJhnFzLwgBabAmyf4YonkBrptQQvEznSWuyd",
"assets": [
{
"tokenId": "3c6bc77e1a6501e4ed8ed280fb5a62df3e78ba4b04dec1cf6c8d36b92c5875f1",
"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 300000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R6": {
"serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R8": {
"serializedValue": "05a0df9101",
"sigmaType": "SLong",
"renderedValue": "1193936"
},
"R7": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R9": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R4": {
"serializedValue": "058092f401",
"sigmaType": "SLong",
"renderedValue": "2000000"
}
}
},
{
"boxId": "a5c1874a1b41a30601ef945f53d2fd3829f71708550ba96eb936f9c64347e8fc",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d53bf8e8a5f691c3c2cda8714be75daf43d803f6816cbbd1c52bf20b2241c957",
"outputTransactionId": "efb8615140e27546f2f5b95d1d450cf93cf34572f298dc1316bf74e9823d6e28",
"outputIndex": 1,
"outputGlobalIndex": 36707359,
"outputCreatedAt": 1193927,
"outputSettledAt": 1193929,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-98,21,-115,-98,-13,16,-51,-115,93,-113,-69,119,1,-66,-35,67,-89,5,-52,51,38,-3,-76,13,93,25,127,123,43,43,51,-7)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihba3fyv8NUPfNc51WQf1BMCxyMf5mX2KGweANnzMLbJCnmeCC67rK6hUbAzP3uFQDCUPibwDog8c3BuR17dJwUmrKDUHria3heFE2uhiES24UBAnKMMieFC8EnD9huoH27x4A5S4GoPeeRfPNmkdrEazZMMVdQsLRyrz7NPomqfFgUKiStkdzH8TSSzNDx116xjgUz8VXSxCPT6pkS5LBfhh82kBBBXfN5qH8crG8ZRdfsE4e4HMQt1gipDr8FoXkuWiRoqprbiVdkvD1XEV3vrgo64Wb5axxhaEjn6r5QPRZnBWnqS4TWWxSzs2d44m5N4Suxx5DxckyA8dLAdXsGC2Z7rpkrtYKqw5xB7YaLxMmcUB429nP6cCrn1nNPcmnFijeg5QDgF5b6TnwFCYfNJmp1gwvzppyiwCC8cLJPAJhnFzLwgBabAmyf4YonkBrptQQvEznSWuyd",
"assets": [
{
"tokenId": "3c6bc77e1a6501e4ed8ed280fb5a62df3e78ba4b04dec1cf6c8d36b92c5875f1",
"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e9e557d835a90e4eaf854dc89f1d18659eb76c428508b55a1d1cc36e001b858",
"index": 1,
"amount": 1000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R6": {
"serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R8": {
"serializedValue": "0598df9101",
"sigmaType": "SLong",
"renderedValue": "1193932"
},
"R7": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R9": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R4": {
"serializedValue": "058092f401",
"sigmaType": "SLong",
"renderedValue": "2000000"
}
}
},
{
"boxId": "589016e24d2b0afb2dc8b8ad9d10fc3d83aadee8b337d9766b08c3288e9a809c",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "8b648a29264b0e7a0329d924ed13655af5cd46cae91a231cf966190d679de1d4",
"outputTransactionId": "542d0caa35bd2553c8936fcd5356aa25281907c80c757d00eefe6b99833bcea7",
"outputIndex": 1,
"outputGlobalIndex": 36692988,
"outputCreatedAt": 1193519,
"outputSettledAt": 1193521,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-98,21,-115,-98,-13,16,-51,-115,93,-113,-69,119,1,-66,-35,67,-89,5,-52,51,38,-3,-76,13,93,25,127,123,43,43,51,-7)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihba3fyv8NUPfNc51WQf1BMCxyMf5mX2KGweANnzMLbJCnmeCC67rK6hUbAzP3uFQDCUPibwDog8c3BuR17dJwUmrKDUHria3heFE2uhiES24UBAnKMMieFC8EnD9huoH27x4A5S4GoPeeRfPNmkdrEazZMMVdQsLRyrz7NPomqfFgUKiStkdzH8TSSzNDx116xjgUz8VXSxCPT6pkS5LBfhh82kBBBXfN5qH8crG8ZRdfsE4e4HMQt1gipDr8FoXkuWiRoqprbiVdkvD1XEV3vrgo64Wb5axxhaEjn6r5QPRZnBWnqS4TWWxSzs2d44m5N4Suxx5DxckyA8dLAdXsGC2Z7rpkrtYKqw5xB7YaLxMmcUB429nP6cCrn1nNPcmnFijeg5QDgF5b6TnwFCYfNJmp1gwvzppyiwCC8cLJPAJhnFzLwgBabAmyf4YonkBrptQQvEznSWuyd",
"assets": [
{
"tokenId": "3c6bc77e1a6501e4ed8ed280fb5a62df3e78ba4b04dec1cf6c8d36b92c5875f1",
"index": 0,
"amount": 1,
"name": "Vote Verification Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e9e557d835a90e4eaf854dc89f1d18659eb76c428508b55a1d1cc36e001b858",
"index": 1,
"amount": 1000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R6": {
"serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R8": {
"serializedValue": "05e8d89101",
"sigmaType": "SLong",
"renderedValue": "1193524"
},
"R7": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R9": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R4": {
"serializedValue": "058092f401",
"sigmaType": "SLong",
"renderedValue": "2000000"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "03c82e10030950be22e4bb8103f7e53e03b67c2b7036e99257a681e6d69e14b1",
"transactionId": "4e2cfc2badc2ef8899dad5a214ee6da33b6dea07e399135163ccef23ab61c87e",
"blockId": "636e7592f5af89cdfce2b6461f437475b555d42905b8c28bbb62e4dad3f7eba3",
"value": 1000000,
"index": 0,
"globalIndex": 36713201,
"creationHeight": 1194178,
"settlementHeight": 1194180,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(46,-98,85,125,-125,90,-112,-28,-22,-8,84,-36,-119,-15,-47,-122,89,-21,118,-60,40,80,-117,85,-95,-47,-52,54,-32,1,-72,88)\n1: 0\n2: Coll(60,107,-57,126,26,101,1,-28,-19,-114,-46,-128,-5,90,98,-33,62,120,-70,75,4,-34,-63,-49,108,-115,54,-71,44,88,117,-15)\n3: 0\n4: Coll(8,-27,-58,-119,119,108,-97,9,10,-110,-48,-7,10,3,25,107,43,66,39,20,29,-37,111,74,27,-127,-16,-14,-77,22,44,-104)\n5: 0\n6: 150\n7: 150\n8: 100\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1500000000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 720\n44: 0\n45: 0\n46: 0\n47: 0\n48: 600000000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
"ergoTreeScript": "{sigmaProp(\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val tuple12 = box4.R5[(Long, Long)].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n )} else { if (l1 > l34) {(\n val bool35 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](47))\n if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n val box36 = OUTPUTS(placeholder[Int](51))\n val tuple37 = box36.tokens(placeholder[Int](52))\n (((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
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"assets": [
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"index": 0,
"amount": 8999999010000000,
"name": "Counter Box Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[2000000,302000000]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "0580cab5ee01",
"sigmaType": "SLong",
"renderedValue": "250000000"
},
"R7": {
"serializedValue": "05809e81a002",
"sigmaType": "SLong",
"renderedValue": "302000000"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05a0e29101",
"sigmaType": "SLong",
"renderedValue": "1194128"
}
},
"spentTransactionId": "4ffe3ed99afa773439c31fabd53d535ad001573b1d1176d232de98d5067f01d4",
"mainChain": true
},
{
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"transactionId": "4e2cfc2badc2ef8899dad5a214ee6da33b6dea07e399135163ccef23ab61c87e",
"blockId": "636e7592f5af89cdfce2b6461f437475b555d42905b8c28bbb62e4dad3f7eba3",
"value": 1000000,
"index": 1,
"globalIndex": 36713202,
"creationHeight": 1194178,
"settlementHeight": 1194180,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
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"index": 0,
"amount": 300000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "f308295dddc0b719baeb33a01201f510daaac3bca20df8e7dac61c9f8634f782"
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"index": 2,
"globalIndex": 36713203,
"creationHeight": 1194178,
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"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
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"index": 0,
"amount": 1000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[SByte]",
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"value": 1000000,
"index": 3,
"globalIndex": 36713204,
"creationHeight": 1194178,
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"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
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"index": 0,
"amount": 1000000,
"name": "Test quacks",
"decimals": 6,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[SByte]",
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{
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"transactionId": "4e2cfc2badc2ef8899dad5a214ee6da33b6dea07e399135163ccef23ab61c87e",
"blockId": "636e7592f5af89cdfce2b6461f437475b555d42905b8c28bbb62e4dad3f7eba3",
"value": 3000000,
"index": 4,
"globalIndex": 36713205,
"creationHeight": 1194178,
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"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)}",
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"additionalRegisters": {},
"spentTransactionId": "1c3514771d3a15e11daa27cb6608bb2ed1723287e0ebd7e3051c5785f93bae9a",
"mainChain": true
}
],
"size": 1981,
"isUnconfirmed": false
}