Transaction
ID: c2dc43f3ec...f92c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.276048645 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.395 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.395 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.274048645 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 947,005
Total coins transferred: 0.671048645 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000556 ERG
Raw Transaction Data
{
"id": "c2dc43f3ec0f3dcfdd8771e2667ee573198d1d38fbf3737150d9fe619e9ff92c",
"blockId": "c45d7c1de8237d7175cf142c234a55eece84c7c1212bc36414abeb4f117f5e13",
"inclusionHeight": 815046,
"timestamp": 1660387074111,
"index": 12,
"globalIndex": 3744364,
"numConfirmations": 947005,
"inputs": [
{
"boxId": "96954112e32a2b11cbf1cb4a20292beaed4a1f71f365dba5c8e32a45b2983ad1",
"value": 276048645,
"index": 0,
"spendingProof": "afb1d7391b7f832f184fc8262ea713278c6b22358a6001f580dd7ac084c44d4250125584928489db38c8cf7bdc2e16b59c096c67d79f88c5",
"outputBlockId": "567b2801491b20bc71f4b80a9879c8fd353c6609e84e056725657b148ec7f768",
"outputTransactionId": "1f57d01dffb3e467d97e99b3e4b562e2981e92fe89582c417c6179dc6ce57ce6",
"outputIndex": 1,
"outputGlobalIndex": 20172385,
"outputCreatedAt": 815002,
"outputSettledAt": 815004,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "36aba4b4a97b65be491cf9f5ca57b5408b0da8d0194f30ec8330d1e8946161c1",
"index": 1,
"amount": 1,
"name": "Erdoge",
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"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 2,
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"name": "SigRSV",
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"type": "EIP-004"
},
{
"tokenId": "c569146a982bb8fb7f29e3969d9495efbc0ef3d9d8e56b7a0fbe20c11b575ede",
"index": 3,
"amount": 999996,
"name": "How to install SAFEW video",
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{
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"name": "tre",
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{
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"name": "xxfgdf",
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{
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"index": 6,
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"name": "Gnomekin #2373 ERGnomes Halloween '21 Special",
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},
{
"tokenId": "9562748c62ff0faa64c706221275cdcadcab0ff5f9271a5d76a0ebd4ddcdcdb7",
"index": 7,
"amount": 990,
"name": "LUCK",
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"type": "EIP-004"
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{
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"index": 8,
"amount": 17999997871999990,
"name": "smallETH",
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"type": "EIP-004"
},
{
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"name": "NETA",
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{
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{
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"name": "SUSTONISHED - Oz-CAR SPECIAL \"SNAPPER SLAPPER\"",
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{
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"name": "SAFEW logo",
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{
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{
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"name": "$COMET Oniric 3D Collection 1244",
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{
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{
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{
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{
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"name": "BTC",
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"type": "EIP-004"
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{
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"type": "EIP-004"
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{
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"index": 20,
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"name": "ergopad",
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{
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"index": 21,
"amount": 2000,
"name": "Mi Goreng ",
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"type": "EIP-004"
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{
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"index": 22,
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"name": "COMET WL",
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"type": "EIP-004"
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{
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"index": 23,
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"name": "$COMET Beggar BrownDark",
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{
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"index": 24,
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"name": "SigUSD",
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}
],
"additionalRegisters": {}
},
{
"boxId": "0bb484796a780e729bf0a8d805a8e354c3cfad76ba966e03752af0b1bf6e8cbf",
"value": 395000000,
"index": 1,
"spendingProof": "b7972c778f9b917154abe328e8175cb7699b48c01239b40b8bf4cd3e4bec88d4d100630a91aa06357cd410f6a280bedd81742f229f8f527f",
"outputBlockId": "b6b8779a281f8d9826c348d47b7ab02ef0e6555ae162ae0bd7b89849157fbca4",
"outputTransactionId": "3450be5922b395ba472652c5e9ec0dd416ae486c8514917f25253d3008e8c55e",
"outputIndex": 0,
"outputGlobalIndex": 20173510,
"outputCreatedAt": 815035,
"outputSettledAt": 815039,
"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: 1\n3: 2000000\n4: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n val box31 = OUTPUTS(placeholder[Int](94))\n if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](118))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n box29.R8[Long].get == placeholder[Long](120)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110406060404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3,3,2,2]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058090dfc04a",
"sigmaType": "SLong",
"renderedValue": "10000000000"
},
"R7": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R9": {
"serializedValue": "0522",
"sigmaType": "SLong",
"renderedValue": "17"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
}
],
"dataInputs": [
{
"boxId": "8849b23f086b08d8093a469ef6accd64e16878fd329d20549ccc62813f1b8e68",
"value": 1000000,
"index": 0,
"outputBlockId": "72354de115110dad2828f6096ebd02830d635338cd8ffb04958c4342c9c1b21d",
"outputTransactionId": "b141e9e82e56fca9c3d2badd74d2ce202088520073ff026de8ff5ff8f25888a4",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201b98435e9b35117360e62e31736e31414dcf72c69089c3b2725adbc670487b6b",
"sigmaType": "Coll[SByte]",
"renderedValue": "1b98435e9b35117360e62e31736e31414dcf72c69089c3b2725adbc670487b6b"
},
"R5": {
"serializedValue": "0e20e79d151f49f523c029e72e0d91a1a469bf867a8b958cc22a3522a1aab284197e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79d151f49f523c029e72e0d91a1a469bf867a8b958cc22a3522a1aab284197e"
},
"R6": {
"serializedValue": "1106148092f4010206c8338084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3,3300,100000000]"
}
}
}
],
"outputs": [
{
"boxId": "6e1923ee8a7c874fb8e3c9e0d8f3c70b537f9a0aaf5cb6cd5a7d11e6d5e2d384",
"transactionId": "c2dc43f3ec0f3dcfdd8771e2667ee573198d1d38fbf3737150d9fe619e9ff92c",
"blockId": "c45d7c1de8237d7175cf142c234a55eece84c7c1212bc36414abeb4f117f5e13",
"value": 395000000,
"index": 0,
"globalIndex": 20173833,
"creationHeight": 815044,
"settlementHeight": 815046,
"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: 1\n3: 2000000\n4: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 0\n96: 3\n97: 1\n98: 2\n99: 0\n100: 1\n101: 2\n102: 3\n103: 1\n104: 3\n105: 0\n106: 1\n107: 2\n108: 0\n109: 1\n110: 2\n111: 3\n112: false\n113: false\n114: false\n115: 3\n116: 0\n117: 0\n118: 2\n119: 0\n120: 0\n121: 0\n122: 2\n123: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) { if (i27 >= placeholder[Int](93)) {(\n val box31 = OUTPUTS(placeholder[Int](94))\n if (blake2b256(box31.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](95))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](96))) && (box13.R8[Long].get == l22)) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](97))) && (box31.value >= placeholder[Long](98) * l22 - l5)) && (box31.R4[SigmaProp].get == prop2)) && (box31.R5[Long].get == l21)) && (box31.R6[Coll[Long]].get(placeholder[Int](99)) == l17)) && (box31.R6[Coll[Long]].get(placeholder[Int](100)) == l18)) && (box31.R6[Coll[Long]].get(placeholder[Int](101)) == l19)) && (box31.R6[Coll[Long]].get(placeholder[Int](102)) == l20)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll15) && func24(placeholder[Int](103))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](104))) && (box29.R8[Long].get == l22)) && (box29.R9[Long].get == l21)) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))) && (box31.value >= placeholder[Long](107) * l22 - l5)) && (box31.R7[SigmaProp].get == prop2)) && (box31.R8[Long].get == l21)) && (box31.R9[Coll[Long]].get(placeholder[Int](108)) == l17)) && (box31.R9[Coll[Long]].get(placeholder[Int](109)) == l18)) && (box31.R9[Coll[Long]].get(placeholder[Int](110)) == l19)) && (box31.R9[Coll[Long]].get(placeholder[Int](111)) == l20)) } else { placeholder[Boolean](112) }\n )} else { placeholder[Boolean](113) } } else { placeholder[Boolean](114) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](115))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](116))) && (box13.R8[Long].get == placeholder[Long](117))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](118))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](119))) && (\n box29.R8[Long].get == placeholder[Long](120)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110406060404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3,3,2,2]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
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