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Inputs (4)
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
0.026 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.13 KB
Received time: 7/14/2025 01:47:57 PM
Included in blocks: 1,568,333
Confirmations: 202,445
Total coins transferred: 0.034 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000917 ERG
Raw Transaction Data
{
  "id": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
  "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
  "inclusionHeight": 1568333,
  "timestamp": 1752500877433,
  "index": 9,
  "globalIndex": 9209526,
  "numConfirmations": 202445,
  "inputs": [
    {
      "boxId": "8ad5d8cdf18b73c46f2e64c6175111a0f84c7cf10dc5f0964a0a4f15c3f42f29",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "c89bd9a393a1e726643372bc6fe5496adbb0f262d2058911f8529f0d0976b76a",
      "outputTransactionId": "b7c62466bc8d0e1cdeab619a69052a8f4823ae2259784de0546d30d20df2058c",
      "outputIndex": 0,
      "outputGlobalIndex": 48474500,
      "outputCreatedAt": 1551882,
      "outputSettledAt": 1551884,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-111,80,7,-120,-5,22,-94,-39,-23,115,86,-2,-13,20,123,-33,102,-13,-53,-53,-9,-58,96,-52,107,55,61,-89,-119,93,-8,-4)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
          "index": 0,
          "amount": 8000,
          "name": "RosenDogeRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      }
    },
    {
      "boxId": "c3bab89d02234ec84264e68d0c207a448375b8d2b930c5f22afc06b2c5f934f8",
      "value": 28000000,
      "index": 1,
      "spendingProof": "0c93b4ca9ab2e246d05b35ed4e9647e38fb27b5a9c60e37940efc9df33db6af73ca0afe31036b7444684b80c543c3d9171a3ffd8cd7b79dd",
      "outputBlockId": "c89bd9a393a1e726643372bc6fe5496adbb0f262d2058911f8529f0d0976b76a",
      "outputTransactionId": "b7c62466bc8d0e1cdeab619a69052a8f4823ae2259784de0546d30d20df2058c",
      "outputIndex": 2,
      "outputGlobalIndex": 48474502,
      "outputCreatedAt": 1551882,
      "outputSettledAt": 1551884,
      "ergoTree": "0008cd03359925e117cd802bb8b52e159d9c6ca7a0698e7e85519222cb1832cb57088388",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(359925,fce90a,...)))}",
      "address": "9gsQnZgaFWGKWjodDPvYM92rJqdPbjH8r2TQ78Fvh7AW4xs1Wuj",
      "assets": [
        {
          "tokenId": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "index": 0,
          "amount": 3,
          "name": "WID-dde8f-4xs1Wuj",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "68e4cd27ff11f0ede21376c43c033047bacbde904e53c194455552ca0ed0e038",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "3f88d1d1488e577b73618c6d5f3e70b3984378765a4aeb2bebeedef84faf2df5",
      "outputTransactionId": "19fdc5169f5036168c9753b64e61c895d3b5be776c8b359e34c0af96de4a8664",
      "outputIndex": 3,
      "outputGlobalIndex": 48474877,
      "outputCreatedAt": 1551897,
      "outputSettledAt": 1551901,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-111,80,7,-120,-5,22,-94,-39,-23,115,86,-2,-13,20,123,-33,102,-13,-53,-53,-9,-58,96,-52,107,55,61,-89,-119,93,-8,-4)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
          "index": 0,
          "amount": 1000,
          "name": "RosenDogeRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 1,
          "amount": 7000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
        }
      }
    },
    {
      "boxId": "54e0ba35b915f866b512121cc475c87f89c625c9c0517559d344a93bfa7e882f",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "3f88d1d1488e577b73618c6d5f3e70b3984378765a4aeb2bebeedef84faf2df5",
      "outputTransactionId": "7dc4612a35becd66c414401be8a7974d952c7d5fed2d71299a6bedf3143912dd",
      "outputIndex": 3,
      "outputGlobalIndex": 48474889,
      "outputCreatedAt": 1551897,
      "outputSettledAt": 1551901,
      "ergoTree": "101904000400040004000400040005000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3040604000404040204000402050404000400040004000400040204000e2091500788fb16a2d9e97356fef3147bdf66f3cbcbf7c660cc6b373da7895df8fc04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-111,80,7,-120,-5,22,-94,-39,-23,115,86,-2,-13,20,123,-33,102,-13,-53,-53,-9,-58,96,-52,107,55,61,-89,-119,93,-8,-4)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
          "index": 0,
          "amount": 1000,
          "name": "RosenDogeRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 1,
          "amount": 7000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "14ae407114094d19ee23cb0d491d1efb1ed1187aa121c3fa67a0ce7314a28615",
      "transactionId": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
      "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
      "value": 2000000,
      "index": 0,
      "globalIndex": 48880223,
      "creationHeight": 1568330,
      "settlementHeight": 1568333,
      "ergoTree": "101904000400040004000400040005000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3040604000404040204000402050404000400040004000400040204000e2091500788fb16a2d9e97356fef3147bdf66f3cbcbf7c660cc6b373da7895df8fc04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-111,80,7,-120,-5,22,-94,-39,-23,115,86,-2,-13,20,123,-33,102,-13,-53,-53,-9,-58,96,-52,107,55,61,-89,-119,93,-8,-4)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
          "index": 0,
          "amount": 9000,
          "name": "RosenDogeRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      },
      "spentTransactionId": "5bbaec78321b14fe75401d511919fc90bcb2d3dd9d8b136793eddf9534a0b892",
      "mainChain": true
    },
    {
      "boxId": "96b899642d1a86633fd2e9c581bb7154bee8ed4523bcecef3d02d7b15640d665",
      "transactionId": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
      "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
      "value": 2000000,
      "index": 1,
      "globalIndex": 48880224,
      "creationHeight": 1568330,
      "settlementHeight": 1568333,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
          "index": 0,
          "amount": 1000,
          "name": "RosenDogeRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
        },
        "R5": {
          "serializedValue": "0e20d4f7fa874b5dbbb81072a5e0ae25d393fa83a057532cb674a9032391160a61cb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d4f7fa874b5dbbb81072a5e0ae25d393fa83a057532cb674a9032391160a61cb"
        },
        "R6": {
          "serializedValue": "0e20869e2926bffe2703e393b7c3c926a98442dd404a1958d9d4aa3defeeec23d904",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "869e2926bffe2703e393b7c3c926a98442dd404a1958d9d4aa3defeeec23d904"
        },
        "R7": {
          "serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
        }
      },
      "spentTransactionId": "1e9a93be26123b3f4ad11aee37ca9eaa7177d5bc6a229480cd6407bb25264968",
      "mainChain": true
    },
    {
      "boxId": "fdbda1550aef6fc388d7690ae8415646fc51dedaaf65c550895ebfb9802f9bb5",
      "transactionId": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
      "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
      "value": 26000000,
      "index": 2,
      "globalIndex": 48880225,
      "creationHeight": 1568330,
      "settlementHeight": 1568333,
      "ergoTree": "0008cd03359925e117cd802bb8b52e159d9c6ca7a0698e7e85519222cb1832cb57088388",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(359925,fce90a,...)))}",
      "address": "9gsQnZgaFWGKWjodDPvYM92rJqdPbjH8r2TQ78Fvh7AW4xs1Wuj",
      "assets": [
        {
          "tokenId": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
          "index": 0,
          "amount": 3,
          "name": "WID-dde8f-4xs1Wuj",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "5bbaec78321b14fe75401d511919fc90bcb2d3dd9d8b136793eddf9534a0b892",
      "mainChain": true
    },
    {
      "boxId": "6d56a15ba4fb3b544bbb878c2b19d6177bd45921e04b4e9b511163c6e8ff9e06",
      "transactionId": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
      "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
      "value": 2000000,
      "index": 3,
      "globalIndex": 48880226,
      "creationHeight": 1568330,
      "settlementHeight": 1568333,
      "ergoTree": "0008cd03359925e117cd802bb8b52e159d9c6ca7a0698e7e85519222cb1832cb57088388",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(359925,fce90a,...)))}",
      "address": "9gsQnZgaFWGKWjodDPvYM92rJqdPbjH8r2TQ78Fvh7AW4xs1Wuj",
      "assets": [
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 0,
          "amount": 14000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "245e06ed69db0dba11c1a5ead1bdbefa8660dafe4657ad271df4ca1592820b4a",
      "mainChain": true
    },
    {
      "boxId": "13799ef4ad26621bfcc09556ee8f7dc830e01b50766dd41e0b6eae36b1857b5f",
      "transactionId": "f09e59be8c7a98b3f1cab8e3e54e761bb592f76eae79db144aac143f10dffd4b",
      "blockId": "37b9450e0f087d63400cfc4b0cefd4ebbba678992e38f60b3fd048134650b439",
      "value": 2000000,
      "index": 4,
      "globalIndex": 48880227,
      "creationHeight": 1568330,
      "settlementHeight": 1568333,
      "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": "8c5089c02a9a549f0607ac1071d8d41474f6a55345b7a3a90ee9b4becdd0acd6",
      "mainChain": true
    }
  ],
  "size": 2182,
  "isUnconfirmed": false
}