Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.341247 ERG
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.339577 ERG
Spent in transaction:
Settlement height:
Value:
0.00167 ERG
Transaction Details
Status: Confirmed
Size: 1.63 KB
Received time: 2/7/2022 04:15:18 PM
Included in blocks: 680,735
Confirmations: 1,083,906
Total coins transferred: 0.343247 ERG
Fees: 0.00167 ERG
Fees per byte: 0.000001 ERG
Raw Transaction Data
{
  "id": "eefe5271d80d92e43ecbe5665adfdde20e2e8d2bea2009c7ad11082347f0073f",
  "blockId": "c8f153b3a46c26c3da4ab4af330c3b792c7d62dd70c1aa0ed53fca1e566b40fa",
  "inclusionHeight": 680735,
  "timestamp": 1644250518626,
  "index": 3,
  "globalIndex": 2596528,
  "numConfirmations": 1083906,
  "inputs": [
    {
      "boxId": "5312b3dcbe3294e10e8c2909812e38fa854ae52514da341c0fb0d08912ccad3c",
      "value": 1000000,
      "index": 0,
      "spendingProof": "6de5c9ed926ffde1b4b9f90519a6993e3c571b7ff608ca1163a8e9ca17521017d5a0d9ec09d8add0ebfc5707075b930a0198c3c7afb406b4aa989fd56b62cb1340e173d9e6bb00285741b09048c8259cb2033ff6dc4a6141eaa59c8d92a3b88ea608aa4aa317c8dbe6d349957b47d28e",
      "outputBlockId": "b1f7e1bb95f8d92a79192d52770e7d31a4df6236d8b2b7168850d0ca8081b25d",
      "outputTransactionId": "0d1e092325ce1f57f7d4a754fb511d1fdeae1e4d30523242b31696edfd62fd45",
      "outputIndex": 0,
      "outputGlobalIndex": 12914708,
      "outputCreatedAt": 680706,
      "outputSettledAt": 680715,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: Coll(-55,-1,-73,-65,116,-51,122,15,-62,-73,107,-81,84,-76,-58,25,43,10,22,-119,-26,-80,-22,107,93,-104,-124,71,-61,83,-93,-18)\n3: 0\n4: 0\n5: 1\n6: 2\n7: 1\n8: 0\n9: 1\n10: 1\n11: 0\n12: false",
      "ergoTreeScript": "{\n  val ge1 = SELF.R4[GroupElement].get\n  val coll2 = placeholder[Coll[Byte]](0)\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val opt4 = box3.R4[GroupElement]\n  val coll5 = placeholder[Coll[Byte]](2)\n  val ge6 = Global.groupGenerator\n  proveDlog(ge1) && sigmaProp(\n    OUTPUTS.forall({(box7: Box) => box7.tokens.forall({(tuple9: (Coll[Byte], Long)) => tuple9._1 != coll2 }) })\n  ) || if (opt4.isDefined) {(\n    val coll7 = box3.tokens\n    val tuple8 = coll7(placeholder[Int](3))\n    val coll9 = SELF.tokens\n    val tuple10 = coll9(placeholder[Int](4))\n    val func11 = {(box11: Box) =>\n      ((blake2b256(box11.propositionBytes) == coll5) && (box11.R7[Coll[Byte]].get == blake2b256(SELF.propositionBytes))) && (box11.value == SELF.value)\n    }\n    val box12 = OUTPUTS(placeholder[Int](5))\n    val ge13 = box3.R5[GroupElement].get\n    val ge14 = opt4.get\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    ((tuple8._1 == tuple10._1) && (tuple8._2 * placeholder[Long](6) > tuple10._2)) || (\n                      blake2b256(INPUTS(placeholder[Int](7)).propositionBytes) == coll5\n                    )\n                  ) && (((func11(box3) && func11(box12)) && (coll7 == box12.tokens)) && \n                      val tuple15 = (coll2, placeholder[Long](8))\n                      coll9.getOrElse(placeholder[Int](9), tuple15) == coll7.getOrElse(placeholder[Int](10), tuple15)\n                    )\n                ) && (box3.R6[GroupElement].get == ge1)\n              ) && (box12.R6[GroupElement].get == ge1)\n            ) && (box12.R4[GroupElement].get == ge13)\n          ) && (box12.R5[GroupElement].get == opt4.get)\n        ) && (SELF.id == INPUTS(placeholder[Int](11)).id)\n      ) && (opt4.get != ge13)\n    ) && proveDHTuple(ge6, ge1, ge14, ge13) || proveDHTuple(ge6, ge1, ge13, ge14)\n  )} else { sigmaProp(placeholder[Boolean](12)) }\n}",
      "address": "8D5yrk3J6uxm7L7dDs8py4NAigZYo4znAqEUx8kN3ERM4yDoRzKKUda5zY8vnjpCjx3bZFVYp4Cz8y4Gbkr7VhWgSXwtLZixzw4eB41FzqNFS3PM2Erf73kLLyyCf1BG5di7CY7RDW22KHQV3LNc9HFqtGVbNfmzf29XWTDGBiMhP5phBfRN4VfcUwTnUPMJ9bs4oa3D2LJZNRMVnccJvxmVUWSpwZuchX91Qv1B9a7zpS6dAed5WHyt5NzKZAgfUjxf8rHaTN6yT3QhekpxRqAa33CFbDMZLeuVqrS9B9CzLRttb8f6bmDTMfxpznmftsXRw9MjmbtxTNcNzu4u369Puga2J1ZcM6SGLeuwqvFQLeUgLHNKVNeFncfT1SW4FYCeZSXPBfQ75zgwE5csCPiM1vvvQ8d7j77XwoNnArjt19W23uk3Ki7vm1TV5p8Qcbu4YKA8CTZ8tSGQKB68KQrdavY7G5F7D8bC527AYhE2GdDSACS9MvZF2YWnrzepJNMyQbKU7diX3grR1bVaX6RA3NwTGtK6HiYZNSQWdXUmsbZ3xX7xjoqWkSDFw",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 168,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 100000,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0702b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db",
          "sigmaType": "SGroupElement",
          "renderedValue": "02b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db"
        }
      }
    },
    {
      "boxId": "fdda4364e851a251848168ea05b734f1e8f3b475b49c487c4ab62d1a1fb54085",
      "value": 1000000,
      "index": 1,
      "spendingProof": "ae475ebcb7c5ba6c297f79722b867d1d0da66f4458b58b014036fd40e96a77216f922b41b0f71326321f011ba865348c652c6ca087ee91bc6feb61c8718b83d46e6c55f46fcc003113fabb518c6bc1f0b202618792872e473852e7e3bf82145fd885d3a8563297c1d58fe914ae57db70",
      "outputBlockId": "4bbca9f01348e1337bfa0150a8f1e4ef251da7d20edcb3873ccb60443e8ba6a3",
      "outputTransactionId": "c32e3a33a2f73c338c4d2f73c298317d877b474d06f9fa2596e0882be7d2b6e3",
      "outputIndex": 0,
      "outputGlobalIndex": 12915168,
      "outputCreatedAt": 680720,
      "outputSettledAt": 680722,
      "ergoTree": "10060e2002d1541415c323527f19ef5b103eb33c220ea8b66fcb711806b0037d115d63f204000402040004040e201a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98d803d601e4c6a70507d602d901026393cbc27202e4c6a7070ed6037300ea02eb02cd7201cedb6a01dde4c6a70407e4c6a706077201d1ececedda720201b2a573010093cbc2b2a47302007203edda720201b2a473030093cbc2b2a47304007203afa5d9010463afdb63087204d901064d0e948c7206017305",
      "ergoTreeConstants": "0: Coll(2,-47,84,20,21,-61,35,82,127,25,-17,91,16,62,-77,60,34,14,-88,-74,111,-53,113,24,6,-80,3,125,17,93,99,-14)\n1: 0\n2: 1\n3: 0\n4: 2\n5: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val func2 = {(box2: Box) => blake2b256(box2.propositionBytes) == SELF.R7[Coll[Byte]].get }\n  val coll3 = placeholder[Coll[Byte]](0)\n  proveDlog(ge1) || proveDHTuple(Global.groupGenerator, SELF.R4[GroupElement].get, SELF.R6[GroupElement].get, ge1) && sigmaProp(\n    (\n      (func2(OUTPUTS(placeholder[Int](1))) && (blake2b256(INPUTS(placeholder[Int](2)).propositionBytes) == coll3)) || (\n        func2(INPUTS(placeholder[Int](3))) && (blake2b256(INPUTS(placeholder[Int](4)).propositionBytes) == coll3)\n      )\n    ) || OUTPUTS.forall({(box4: Box) => box4.tokens.forall({(tuple6: (Coll[Byte], Long)) => tuple6._1 != placeholder[Coll[Byte]](5) }) })\n  )\n}",
      "address": "2kpyq1fiKFRACqTBYLqT4BNGfnrym226pPanSzftuVJdWmxAKncZScWcY2XkJXLdFFKXcqy7zLB8LVpHkaXgyAJkjTC4LXxss6tMbL7ZqEpwj5oGhv1q2FbsCab2KR2RdWhrwWSpC6qXXR6srcbve7c5ni8JQhWQKZdCqiuWxTXyapsTE1mB459YgLcPBBrPmA8qdudEToo9QVWXPSwXTGq3Uxod5V5JaBjWPcPi7UPMR1J9Y5guSCVxbLavcRnPxoxtgouFGimPcYxpMd5Vc",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 165,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 100000,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "070331c0742fcbfc3ec91c6e77d68db5bb016f84db447d87b6716e1837a11f16c788",
          "sigmaType": "SGroupElement",
          "renderedValue": "0331c0742fcbfc3ec91c6e77d68db5bb016f84db447d87b6716e1837a11f16c788"
        },
        "R5": {
          "serializedValue": "0702f94236bcaa8c4fc931f9f06ec0c956021acf7a5acec5dd15489477249daddc48",
          "sigmaType": "SGroupElement",
          "renderedValue": "02f94236bcaa8c4fc931f9f06ec0c956021acf7a5acec5dd15489477249daddc48"
        },
        "R6": {
          "serializedValue": "070350d7c0f5afbdfc1ff25202f1619c2c4ca62136f0a782c09753017a5263d5e473",
          "sigmaType": "SGroupElement",
          "renderedValue": "0350d7c0f5afbdfc1ff25202f1619c2c4ca62136f0a782c09753017a5263d5e473"
        },
        "R7": {
          "serializedValue": "0e20199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb"
        }
      }
    },
    {
      "boxId": "f2703fd6f891382f46c4f83ec8499980f8eb58e0ea43e31d44e2a4ac8d0903ac",
      "value": 341247000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "600ac1efc7e4ad138dd42135918a734aee6bb2aae9945f4de8cf43e2db94bcb4",
      "outputTransactionId": "0e4159d490cfba61d8dd3c05443799f098876074406d8f39c7fd4ba964358898",
      "outputIndex": 1,
      "outputGlobalIndex": 12914294,
      "outputCreatedAt": 680706,
      "outputSettledAt": 680708,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "2268d09559ba27baf882d2888fb72ebe160f20554a1bdc4d359a4a474ee88d30",
      "transactionId": "eefe5271d80d92e43ecbe5665adfdde20e2e8d2bea2009c7ad11082347f0073f",
      "blockId": "c8f153b3a46c26c3da4ab4af330c3b792c7d62dd70c1aa0ed53fca1e566b40fa",
      "value": 1000000,
      "index": 0,
      "globalIndex": 12916726,
      "creationHeight": 680732,
      "settlementHeight": 680735,
      "ergoTree": "10060e2002d1541415c323527f19ef5b103eb33c220ea8b66fcb711806b0037d115d63f204000402040004040e201a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98d803d601e4c6a70507d602d901026393cbc27202e4c6a7070ed6037300ea02eb02cd7201cedb6a01dde4c6a70407e4c6a706077201d1ececedda720201b2a573010093cbc2b2a47302007203edda720201b2a473030093cbc2b2a47304007203afa5d9010463afdb63087204d901064d0e948c7206017305",
      "ergoTreeConstants": "0: Coll(2,-47,84,20,21,-61,35,82,127,25,-17,91,16,62,-77,60,34,14,-88,-74,111,-53,113,24,6,-80,3,125,17,93,99,-14)\n1: 0\n2: 1\n3: 0\n4: 2\n5: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val func2 = {(box2: Box) => blake2b256(box2.propositionBytes) == SELF.R7[Coll[Byte]].get }\n  val coll3 = placeholder[Coll[Byte]](0)\n  proveDlog(ge1) || proveDHTuple(Global.groupGenerator, SELF.R4[GroupElement].get, SELF.R6[GroupElement].get, ge1) && sigmaProp(\n    (\n      (func2(OUTPUTS(placeholder[Int](1))) && (blake2b256(INPUTS(placeholder[Int](2)).propositionBytes) == coll3)) || (\n        func2(INPUTS(placeholder[Int](3))) && (blake2b256(INPUTS(placeholder[Int](4)).propositionBytes) == coll3)\n      )\n    ) || OUTPUTS.forall({(box4: Box) => box4.tokens.forall({(tuple6: (Coll[Byte], Long)) => tuple6._1 != placeholder[Coll[Byte]](5) }) })\n  )\n}",
      "address": "2kpyq1fiKFRACqTBYLqT4BNGfnrym226pPanSzftuVJdWmxAKncZScWcY2XkJXLdFFKXcqy7zLB8LVpHkaXgyAJkjTC4LXxss6tMbL7ZqEpwj5oGhv1q2FbsCab2KR2RdWhrwWSpC6qXXR6srcbve7c5ni8JQhWQKZdCqiuWxTXyapsTE1mB459YgLcPBBrPmA8qdudEToo9QVWXPSwXTGq3Uxod5V5JaBjWPcPi7UPMR1J9Y5guSCVxbLavcRnPxoxtgouFGimPcYxpMd5Vc",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 166,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 100000,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0702308f597e05cb0ea4be07cd66b57d5f6a1826a3821a94ea7ffef36c89dd4f4718",
          "sigmaType": "SGroupElement",
          "renderedValue": "02308f597e05cb0ea4be07cd66b57d5f6a1826a3821a94ea7ffef36c89dd4f4718"
        },
        "R5": {
          "serializedValue": "0703a367fce229574e8e854927b52a758ea788cb720bbd4c27ea425e500fad0d2775",
          "sigmaType": "SGroupElement",
          "renderedValue": "03a367fce229574e8e854927b52a758ea788cb720bbd4c27ea425e500fad0d2775"
        },
        "R6": {
          "serializedValue": "0702b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db",
          "sigmaType": "SGroupElement",
          "renderedValue": "02b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db"
        },
        "R7": {
          "serializedValue": "0e20199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb"
        }
      },
      "spentTransactionId": "bb9bbe6b3a30bb7e89c68d7f1674c3f68c9e660bff41ff4204933be9efdfe1e4",
      "mainChain": true
    },
    {
      "boxId": "46e0ba47d6f75e09005ce8e7b03cbb34eed01c96240a791f89f06394e972465b",
      "transactionId": "eefe5271d80d92e43ecbe5665adfdde20e2e8d2bea2009c7ad11082347f0073f",
      "blockId": "c8f153b3a46c26c3da4ab4af330c3b792c7d62dd70c1aa0ed53fca1e566b40fa",
      "value": 1000000,
      "index": 1,
      "globalIndex": 12916727,
      "creationHeight": 680732,
      "settlementHeight": 680735,
      "ergoTree": "10060e2002d1541415c323527f19ef5b103eb33c220ea8b66fcb711806b0037d115d63f204000402040004040e201a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98d803d601e4c6a70507d602d901026393cbc27202e4c6a7070ed6037300ea02eb02cd7201cedb6a01dde4c6a70407e4c6a706077201d1ececedda720201b2a573010093cbc2b2a47302007203edda720201b2a473030093cbc2b2a47304007203afa5d9010463afdb63087204d901064d0e948c7206017305",
      "ergoTreeConstants": "0: Coll(2,-47,84,20,21,-61,35,82,127,25,-17,91,16,62,-77,60,34,14,-88,-74,111,-53,113,24,6,-80,3,125,17,93,99,-14)\n1: 0\n2: 1\n3: 0\n4: 2\n5: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val func2 = {(box2: Box) => blake2b256(box2.propositionBytes) == SELF.R7[Coll[Byte]].get }\n  val coll3 = placeholder[Coll[Byte]](0)\n  proveDlog(ge1) || proveDHTuple(Global.groupGenerator, SELF.R4[GroupElement].get, SELF.R6[GroupElement].get, ge1) && sigmaProp(\n    (\n      (func2(OUTPUTS(placeholder[Int](1))) && (blake2b256(INPUTS(placeholder[Int](2)).propositionBytes) == coll3)) || (\n        func2(INPUTS(placeholder[Int](3))) && (blake2b256(INPUTS(placeholder[Int](4)).propositionBytes) == coll3)\n      )\n    ) || OUTPUTS.forall({(box4: Box) => box4.tokens.forall({(tuple6: (Coll[Byte], Long)) => tuple6._1 != placeholder[Coll[Byte]](5) }) })\n  )\n}",
      "address": "2kpyq1fiKFRACqTBYLqT4BNGfnrym226pPanSzftuVJdWmxAKncZScWcY2XkJXLdFFKXcqy7zLB8LVpHkaXgyAJkjTC4LXxss6tMbL7ZqEpwj5oGhv1q2FbsCab2KR2RdWhrwWSpC6qXXR6srcbve7c5ni8JQhWQKZdCqiuWxTXyapsTE1mB459YgLcPBBrPmA8qdudEToo9QVWXPSwXTGq3Uxod5V5JaBjWPcPi7UPMR1J9Y5guSCVxbLavcRnPxoxtgouFGimPcYxpMd5Vc",
      "assets": [
        {
          "tokenId": "1a6a8c16e4b1cc9d73d03183565cfb8e79dd84198cb66beeed7d3463e0da2b98",
          "index": 0,
          "amount": 166,
          "name": "ErgoMixer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 100000,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0703a367fce229574e8e854927b52a758ea788cb720bbd4c27ea425e500fad0d2775",
          "sigmaType": "SGroupElement",
          "renderedValue": "03a367fce229574e8e854927b52a758ea788cb720bbd4c27ea425e500fad0d2775"
        },
        "R5": {
          "serializedValue": "0702308f597e05cb0ea4be07cd66b57d5f6a1826a3821a94ea7ffef36c89dd4f4718",
          "sigmaType": "SGroupElement",
          "renderedValue": "02308f597e05cb0ea4be07cd66b57d5f6a1826a3821a94ea7ffef36c89dd4f4718"
        },
        "R6": {
          "serializedValue": "0702b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db",
          "sigmaType": "SGroupElement",
          "renderedValue": "02b0bfcc5db666dc395e89ce0cd2e3e11f0d95826ab487545a14d8130673e724db"
        },
        "R7": {
          "serializedValue": "0e20199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "199a5a0838f19ddd5a25abee8d90783c6c1796bbca31f47f9153e7e76816e3fb"
        }
      },
      "spentTransactionId": "97be0e82d84f6edbb914fb028006c9c756880e32026d6c224c106ab9526e2b98",
      "mainChain": true
    },
    {
      "boxId": "aa5ab06180ffffb6f46df3575e3652abee341abdd5681a5fc1cb4394067dd8e5",
      "transactionId": "eefe5271d80d92e43ecbe5665adfdde20e2e8d2bea2009c7ad11082347f0073f",
      "blockId": "c8f153b3a46c26c3da4ab4af330c3b792c7d62dd70c1aa0ed53fca1e566b40fa",
      "value": 339577000,
      "index": 2,
      "globalIndex": 12916728,
      "creationHeight": 680732,
      "settlementHeight": 680735,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(26,106,-116,22,-28,-79,-52,-99,115,-48,49,-125,86,92,-5,-114,121,-35,-124,25,-116,-74,107,-18,-19,125,52,99,-32,-38,43,-104)\n1: 0\n2: 0\n3: 0\n4: SigmaProp(ProveDlog(ECPoint(b038b0,2493cf,...)))\n5: 2\n6: 3\n7: 1\n8: 0\n9: 0\n10: 3\n11: 4\n12: 1\n13: 0\n14: 0\n15: 1\n16: 2\n17: 0\n18: 0\n19: 1\n20: 2\n21: false",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  val coll2 = SELF.propositionBytes\n  val opt3 = SELF.R4[Long]\n  val coll4 = placeholder[Coll[Byte]](0)\n  val tuple5 = (coll4, placeholder[Long](1))\n  val l6 = placeholder[Long](2)\n  val func7 = {(box7: Box) =>\n    val coll9 = box7.propositionBytes\n    val bool10 = coll9 == coll2\n    val bool11 = \n      val l11 = box7.value\n      val l12 = SELF.value\n      val l13 = opt3.get\n      val l14 = l12 - l13\n      val bool15 = l11 >= l14\n      bool15\n    \n    val bool12 = bool10 && bool11\n    val bool13 = \n      val opt13 = box7.R4[Long]\n      val bool14 = opt13 == opt3\n      bool14\n    \n    val bool14 = bool12 && bool13\n    bool14\n  }\n  val func8 = {(box8: Box) =>\n    val coll10 = box8.tokens\n    val tuple11 = coll10.getOrElse(placeholder[Int](3), tuple5)\n    val coll12 = tuple11._1\n    val bool13 = coll12 == coll4\n    val l14 = \n      val l14 = tuple11._2\n      l14\n    \n    val l15 = if (bool13) { l14 } else { l6 }\n    l15\n  }\n  placeholder[SigmaProp](4) || if ((i1 == placeholder[Int](5)) && (OUTPUTS.size == placeholder[Int](6))) {(\n    val func9 = func7\n    val func10 = func8\n    sigmaProp(func9(OUTPUTS(placeholder[Int](7))) && (func10(OUTPUTS(placeholder[Int](8))) < func10(INPUTS(placeholder[Int](9)))))\n  )} else { if ((i1 == placeholder[Int](10)) && (OUTPUTS.size == placeholder[Int](11))) {(\n      val l9 = func8(INPUTS(placeholder[Int](12)))\n      val l10 = func8(INPUTS(placeholder[Int](13)))\n      val l11 = l10 + l9 - func8(OUTPUTS(placeholder[Int](14))) + func8(OUTPUTS(placeholder[Int](15)))\n      sigmaProp(func7(OUTPUTS(placeholder[Int](16))) && (((l9 > placeholder[Long](17)) && (l10 > placeholder[Long](18))) && ((l11 == placeholder[Long](19)) || (l11 == placeholder[Long](20)))))\n    )} else { sigmaProp(placeholder[Boolean](21)) } }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        }
      },
      "spentTransactionId": "1fd033fee7c4c6389dfc04803ebd251f442ff3ff19c175a10714778cc642a85e",
      "mainChain": true
    },
    {
      "boxId": "f28ec4a9aad4d87e7a7e98290c8a308947a70fa5b65004971510cec3458f2011",
      "transactionId": "eefe5271d80d92e43ecbe5665adfdde20e2e8d2bea2009c7ad11082347f0073f",
      "blockId": "c8f153b3a46c26c3da4ab4af330c3b792c7d62dd70c1aa0ed53fca1e566b40fa",
      "value": 1670000,
      "index": 3,
      "globalIndex": 12916729,
      "creationHeight": 680732,
      "settlementHeight": 680735,
      "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": "8feaca425064a1fa57ef8973a4afa739a7ea0e18fddaab94fc2c5a4aa356e405",
      "mainChain": true
    }
  ],
  "size": 1670,
  "isUnconfirmed": false
}