Transaction
ID: 307a4ad766...6cc9
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.187 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.299022645 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.187 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.297022645 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 964,290
Total coins transferred: 0.486022645 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000604 ERG
Raw Transaction Data
{
"id": "307a4ad7662ade56e2dda3a6232433e5d002ef4a94020557a5c68ec8f2156cc9",
"blockId": "39c9a9997feb35db49c5b5eaae395493678ffd34d5deaa18b9cda42b2dac8b66",
"inclusionHeight": 803529,
"timestamp": 1659023605023,
"index": 12,
"globalIndex": 3636662,
"numConfirmations": 964290,
"inputs": [
{
"boxId": "c18625b08517f8e7a1cd497fe5d37ff1c8af67a6d75b54a15979d6bab54c6629",
"value": 187000000,
"index": 0,
"spendingProof": "427ed6ef90e330a1a274d443e9af2c8282eac639236b9388bee48e5cc99399a14036ba2b0732f067799fe2845fed3a9ac29fcf7c9bca6b56",
"outputBlockId": "06e688aea8df5dca0e336ac75c9b0bf4692452dab597ce368aa0ea971473701f",
"outputTransactionId": "5dafd74c1fd03b739f65938b37b3f176c2f86d7b72e8cb3c9e96249d1535dfcb",
"outputIndex": 0,
"outputGlobalIndex": 19580650,
"outputCreatedAt": 803522,
"outputSettledAt": 803525,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11040a0a1000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,5,8,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0ec6014a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a6f653a3261383230333a6266306562373a333a343a4d3230342e352c3135302e35513139352c3137362c3137302e352c3138322e35513134362c3138392c3132342c3139312e35513130322c3139342c36382c3139322e355133342c3139312c32342e352c3135385131352c3132352c32362c39335133372c36312c36342e352c34322e355139322c32342c3132322c3333513135322c34322c3137382c3535513230342c36382c3230392c39362e35513231342c3132352c3230342e352c3135302e355a"
}
}
},
{
"boxId": "75ade69398c1c7a1b9c99be6281d4feae69803869c49927e3a106e6e0e6b7b1d",
"value": 299022645,
"index": 1,
"spendingProof": "7c9373a1481544d2a5dd11b8d8f23e72d37ba4f2ea837cd085cb70ac981726f2c77f53d71bea6bbc9f179b912870d9e0fe8e7fa45a76aaed",
"outputBlockId": "06e688aea8df5dca0e336ac75c9b0bf4692452dab597ce368aa0ea971473701f",
"outputTransactionId": "5dafd74c1fd03b739f65938b37b3f176c2f86d7b72e8cb3c9e96249d1535dfcb",
"outputIndex": 2,
"outputGlobalIndex": 19580652,
"outputCreatedAt": 803522,
"outputSettledAt": 803525,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
"tokenId": "7f8b05e76775dd748bbd2f6532d898172cd18e460cf9463525c5dc4a89c47b5d",
"index": 0,
"amount": 10000,
"name": "xxfgdf",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 104493,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 2,
"amount": 895,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "32a435f79e2df15875581de7b4233dd41bcf68a00dab7d09259e4d5f10048482",
"index": 3,
"amount": 20999849821000000,
"name": "BTC",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 4,
"amount": 465197,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7d8c6c6a71453948855186421f5eab670710949687a6264f9ce1d3a0c0b9bffe",
"index": 5,
"amount": 1,
"name": "Gnomekin #2373 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 6,
"amount": 2000,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9562748c62ff0faa64c706221275cdcadcab0ff5f9271a5d76a0ebd4ddcdcdb7",
"index": 7,
"amount": 990,
"name": "LUCK",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0c1aecaf21e833947c3d86e95f7a111b48a80c7999689b757fe7dd4d732eacb0",
"index": 8,
"amount": 17999997871999990,
"name": "smallETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 9,
"amount": 77157515,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "0f037f9e869774b63ee1e8f0b90d83f0ed6d92e25c298854e4acd74db06cd250",
"index": 10,
"amount": 1,
"name": "COMET WL",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 11,
"amount": 1313,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c569146a982bb8fb7f29e3969d9495efbc0ef3d9d8e56b7a0fbe20c11b575ede",
"index": 12,
"amount": 999996,
"name": "How to install SAFEW video",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
"index": 13,
"amount": 2000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "665e47bf28563943d79bcaf310533177410100c06f55730e302572c9759841e2",
"index": 14,
"amount": 7,
"name": "HeyHo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8093c0f95e6ac52459a8630250ce9e0848a90faf76e1def822df7f94a73a3551",
"index": 15,
"amount": 1,
"name": "$COMET Beggar BrownDark",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "83b59fcce093c8577afc035fb798a135b2ecc65591a7a4af3b0158e6d570e1aa",
"index": 16,
"amount": 1,
"name": "SUSTONISHED - Oz-CAR SPECIAL \"SNAPPER SLAPPER\"",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed83c830d9ee3f33f90d288a5d1538990f9d2b574c303ace8cca26cc92ff97ff",
"index": 17,
"amount": 100000,
"name": "SAFEW logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 18,
"amount": 149,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 19,
"amount": 1,
"name": "Erdoge",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a41ff7ef81d6ea1dbd90a3d7639e8b0f3e0aa7950990d9b86814b90de7a74668",
"index": 20,
"amount": 10000,
"name": "123",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f1061700fd31d41e16dd057275d35d8d57bd780c171a0c062721a4f4b6487c1d",
"index": 21,
"amount": 100,
"name": "tre",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 22,
"amount": 2000,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "6095703a14f1de8921ee79ab86fdb701bd32b1e04c08b5c25fc93e15e639a22c",
"index": 23,
"amount": 1,
"name": "$COMET Oniric 3D Collection 1244",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "d784a4695155744971ca98cf728f2dba2bf7449d8578550d236d7095203a779e",
"value": 1000000,
"index": 0,
"outputBlockId": "3ba42a4ca08e1382d7edcbb3caf32b0ff3b51b4b1815bb4059fc5c0a52d41369",
"outputTransactionId": "de674f60d0ac59f7d0d7aa95f595f04da83158996b7d1ddb2727275f0ec228d5",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204058150dbcba239e57f385ed8c8dd2c5074147ad314ff3e6f03bf0a5359a7b5c",
"sigmaType": "Coll[SByte]",
"renderedValue": "4058150dbcba239e57f385ed8c8dd2c5074147ad314ff3e6f03bf0a5359a7b5c"
},
"R5": {
"serializedValue": "0e20d0c53392ba569edc913afff864e6ac03e7869c05456ea7a37803a2d2653db983",
"sigmaType": "Coll[SByte]",
"renderedValue": "d0c53392ba569edc913afff864e6ac03e7869c05456ea7a37803a2d2653db983"
},
"R6": {
"serializedValue": "110580dac40980897a1480897a8092f401",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,1000000,10,1000000,2000000]"
},
"R7": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
}
}
}
],
"outputs": [
{
"boxId": "cf2213a01d6c48dfe6bdedf499d95b1b37f444ff9fdd453cec4ca6c8eb7303a8",
"transactionId": "307a4ad7662ade56e2dda3a6232433e5d002ef4a94020557a5c68ec8f2156cc9",
"blockId": "39c9a9997feb35db49c5b5eaae395493678ffd34d5deaa18b9cda42b2dac8b66",
"value": 187000000,
"index": 0,
"globalIndex": 19580998,
"creationHeight": 803527,
"settlementHeight": 803529,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 4\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 2\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 2\n74: 3\n75: 1000\n76: 1000000\n77: 0\n78: 2\n79: 2\n80: 2\n81: 0\n82: 0\n83: 2\n84: 0\n85: 0\n86: 0\n87: false\n88: false\n89: false\n90: 1\n91: 4\n92: 2\n93: 3\n94: 2\n95: 0\n96: 1\n97: 2\n98: 3\n99: 3\n100: 2\n101: 0\n102: 1\n103: 2\n104: 3\n105: false\n106: false\n107: false\n108: 3\n109: 0\n110: 0\n111: 0\n112: 2\n113: 0\n114: 0\n115: 0\n116: 2\n117: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = box14.value\n val func23 = {(i23: Int) =>\n val coll25 = OUTPUTS(i23).R5[Coll[Long]].get\n (((coll25(placeholder[Int](18)) == l18) && (coll25(placeholder[Int](19)) == l19)) && (coll25(placeholder[Int](20)) == l20)) && (\n coll25(placeholder[Int](21)) == l21\n )\n }\n val bool24 = l22 == l10\n val bool25 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (((bool24 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](26))) && (\n box14.R6[SigmaProp].get == prop2\n )\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n } else { placeholder[Boolean](29) }\n val i26 = OUTPUTS.size\n val box27 = OUTPUTS(placeholder[Int](30))\n val bool28 = func7(placeholder[Int](31))\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n ((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box29 = OUTPUTS(placeholder[Int](35))\n val l30 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box29.propositionBytes == coll9) {(\n val coll31 = box29.tokens\n (((((coll31.size == placeholder[Int](38)) && (coll31(placeholder[Int](39))._1 == coll3)) && (coll31(placeholder[Int](40))._2 == placeholder[Long](41))) && (box29.value >= l30)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l30 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box29 = OUTPUTS(placeholder[Int](49))\n val l30 = box14.value\n val l31 = l10 - l30\n if (box29.propositionBytes == coll9) { ((((((((box29.value >= max(max(l31, l31) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l30 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i32: Int) =>\n val coll34 = OUTPUTS(i32).R5[Coll[Long]].get\n (((coll34(placeholder[Int](54)) == l18) && (coll34(placeholder[Int](55)) == l19)) && (coll34(placeholder[Int](56)) == l20)) && (coll34(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { ((((((l22 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func23(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && \n val l29 = box14.R7[Long].get\n (l29 == placeholder[Long](70)) || ((l29 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool25\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](73))) && (!bool25)) {\n if (i26 > placeholder[Int](74)) {\n if (box27.propositionBytes == coll9) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((box27.value >= max(l13 * l11 / placeholder[Long](75), placeholder[Long](76))) && (box27.tokens.size == placeholder[Int](77))) && (\n OUTPUTS(placeholder[Int](78)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](79)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](80)).tokens.size == placeholder[Int](81))\n ) && bool24\n ) && (coll15(placeholder[Int](82))._2 == placeholder[Long](83))\n ) && (box14.R4[Coll[Byte]].get == coll16)\n ) && func23(placeholder[Int](84))\n ) && (box14.R7[Long].get == placeholder[Long](85))\n ) && (box14.R8[Long].get == placeholder[Long](86))\n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) } || if ((bool8 && bool28) && (l12 == placeholder[Long](90))) { if (i26 == placeholder[Int](91)) {(\n val box29 = OUTPUTS(placeholder[Int](92))\n if (blake2b256(box29.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](93))) && (box14.R8[Long].get == l13)) && (box29.value >= placeholder[Long](94) * l13 - l5)) && (box29.R4[SigmaProp].get == prop2)) && (box29.R5[Coll[Byte]].get == coll16)) && (box29.R6[Coll[Long]].get(placeholder[Int](95)) == l18)) && (box29.R6[Coll[Long]].get(placeholder[Int](96)) == l19)) && (box29.R6[Coll[Long]].get(placeholder[Int](97)) == l20)) && (box29.R6[Coll[Long]].get(placeholder[Int](98)) == l21)) || (((((((((((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](99))) && (box27.R8[Long].get == l13)) && (box29.value >= placeholder[Long](100) * l13 - l5)) && (box29.R7[SigmaProp].get == prop2)) && (box29.R8[Coll[Byte]].get == coll16)) && (box29.R9[Coll[Long]].get(placeholder[Int](101)) == l18)) && (box29.R9[Coll[Long]].get(placeholder[Int](102)) == l19)) && (box29.R9[Coll[Long]].get(placeholder[Int](103)) == l20)) && (box29.R9[Coll[Long]].get(placeholder[Int](104)) == l21)) } else { placeholder[Boolean](105) }\n )} else { placeholder[Boolean](106) } } else { placeholder[Boolean](107) }\n ) || if ((bool8 && bool28) && (l12 == placeholder[Long](108))) {\n (\n (\n (((box14.R4[Coll[Byte]].get == coll16) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](109))) && (\n box14.R8[Long].get == placeholder[Long](110)\n )\n ) && (coll15(placeholder[Int](111))._2 == placeholder[Long](112))\n ) || (\n (\n (((box27.R4[Coll[Byte]].get == coll16) && (box27.R6[SigmaProp].get == prop2)) && (box27.R7[Long].get == placeholder[Long](113))) && (\n box27.R8[Long].get == placeholder[Long](114)\n )\n ) && (box27.tokens(placeholder[Int](115))._2 == placeholder[Long](116))\n )\n } else { placeholder[Boolean](117) }\n )\n}",
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"globalIndex": 19580999,
"creationHeight": 803527,
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
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