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Inputs (2)
Output transaction:
Settlement height:
Value:
0.044 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,006.72
Outputs (2)
Spent in transaction:
Settlement height:
Value:
0.045 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.6 KB
Received time: 3/16/2024 01:33:43 AM
Included in blocks: 1,221,755
Confirmations: 537,185
Total coins transferred: 0.046 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000612 ERG
Raw Transaction Data
{
  "id": "5acddd9a8de133fddd796af30e10dba6821fd41525ce5f80cb2fd2a6d91d7eda",
  "blockId": "00736117fc455bff977c90e52aae2b58ff5a3950bed7e8880bee34cb5baa8002",
  "inclusionHeight": 1221755,
  "timestamp": 1710552823629,
  "index": 7,
  "globalIndex": 6826467,
  "numConfirmations": 537185,
  "inputs": [
    {
      "boxId": "59d4da76213902b15ecfb2d79ecc615feac36b065b4fb4dd89a3bd11876945aa",
      "value": 44000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "f40adb63865d5f3ba901591dc3b69088d89919d72d5b5aa7995ed818eee6516b",
      "outputTransactionId": "76e4ca7f46ae6ed85da7e3865704e9588c43f9fb8df9e387ecb4b1e366c68ecc",
      "outputIndex": 0,
      "outputGlobalIndex": 37984129,
      "outputCreatedAt": 1221712,
      "outputSettledAt": 1221714,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 3\n2: 3\n3: 1000000\n4: 0\n5: 0\n6: 1\n7: 1\n8: 2\n9: 2\n10: 9000000000000000\n11: 9000000000000000\n12: Coll(-102,49,-53,-84,106,113,74,20,74,48,-54,-5,88,-8,90,-123,73,8,-58,43,29,-110,63,-8,95,-78,-78,-87,-116,79,-24,-84)\n13: CBigInt(1000000000000000)\n14: 0\n15: -1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 5000000\n22: 1000\n23: 3\n24: 0\n25: 0\n26: 2\n27: 1\n28: -1\n29: 0\n30: Coll(-107,-70,-17,16,91,25,76,-77,-25,126,28,84,25,62,-29,5,-76,-74,31,-114,-91,21,28,-56,105,75,69,-99,-4,111,25,-95)\n31: 20000\n32: 1000000\n33: 2\n34: CBigInt(100)\n35: 1\n36: 500000\n37: 100000000\n38: 0\n39: Coll(-71,-9,10,-114,77,16,110,124,-5,-85,36,-38,-59,48,38,126,-14,66,-3,54,92,62,40,10,-72,5,-67,-52,-126,123,-75,-74)\n40: 0\n41: Coll(6,-31,-40,-5,72,-71,-10,-83,51,86,51,5,70,1,-45,-71,-44,-102,-70,-32,119,1,26,-1,-26,-105,58,-94,38,126,-85,-108)\n42: 0\n43: 0\n44: 9000000000000010\n45: 9000000000000010\n46: 0\n47: 1\n48: 0\n49: 0\n50: 400000\n51: 160\n52: 4000000\n53: 400000\n54: 200\n55: 400000\n56: 160\n57: 4000000\n58: 400000\n59: 250\n60: 4000000\n61: 200\n62: 400000\n63: 160\n64: 1\n65: 0\n66: false",
      "ergoTreeScript": "{\n  val coll1 = CONTEXT.dataInputs\n  val i2 = coll1.size\n  val box3 = OUTPUTS(placeholder[Int](0))\n  val coll4 = box3.tokens\n  val tuple5 = coll4(placeholder[Int](1))\n  val l6 = tuple5._2\n  val coll7 = SELF.tokens\n  val tuple8 = coll7(placeholder[Int](2))\n  val l9 = tuple8._2\n  val l10 = l6 - l9\n  val bool11 = box3.propositionBytes == SELF.propositionBytes\n  val i12 = placeholder[Int](3)\n  val bool13 = box3.value >= i12.toLong\n  val bool14 = coll4(placeholder[Int](4)) == coll7(placeholder[Int](5))\n  val coll15 = tuple8._1\n  val bool16 = tuple5._1 == coll15\n  val tuple17 = coll4(placeholder[Int](6))\n  val tuple18 = coll7(placeholder[Int](7))\n  val bool19 = tuple17 == tuple18\n  val tuple20 = coll4(placeholder[Int](8))\n  val tuple21 = coll7(placeholder[Int](9))\n  val coll22 = tuple21._1\n  val bool23 = tuple20._1 == coll22\n  val l24 = placeholder[Long](10) - tuple20._2\n  val l25 = placeholder[Long](11) - tuple21._2\n  val l26 = l24 - l25\n  val coll27 = placeholder[Coll[Byte]](12)\n  val bi28 = placeholder[BigInt](13)\n  val bool29 = l10 > placeholder[Long](14)\n  val l30 = if (bool29) { l10 } else { l10 * placeholder[Long](15) }\n  if (i2 > placeholder[Int](16)) {(\n    val box31 = OUTPUTS(placeholder[Int](17))\n    val tuple32 = box31.tokens(placeholder[Int](18))\n    val l33 = tuple32._2\n    val l34 = box31.value\n    val box35 = coll1(placeholder[Int](19))\n    val coll36 = box35.tokens\n    val tuple37 = coll36(placeholder[Int](20))\n    val bi38 = l34.toBigInt - placeholder[Int](21).toBigInt\n    val bi39 = box35.R4[Int].get.toBigInt\n    val bi40 = box35.value.toBigInt\n    val i41 = placeholder[Int](22)\n    val box42 = coll1(placeholder[Int](23))\n    val coll43 = coll36(placeholder[Int](24))._1\n    val i44 = box42.R6[Coll[Coll[Byte]]].get.indexOf(coll43, placeholder[Int](25))\n    val l45 = box42.R4[Coll[Long]].get(i44)\n    val tuple46 = box31.R5[(Int, Int)].get\n    val box47 = coll1(placeholder[Int](26))\n    val box48 = coll1(placeholder[Int](27))\n    val i49 = box48.R4[Coll[Long]].get.size\n    val tuple50 = box31.R9[(Long, Long)].get\n    val l51 = tuple50._1\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (\n                                      (\n                                        (\n                                          (\n                                            (\n                                              (((bool11 && (l10 * placeholder[Long](28) == l33)) && (l10 < placeholder[Long](29))) && bool13) && bool14\n                                            ) && bool16\n                                          ) && bool19\n                                        ) && bool23\n                                      ) && (l26 == l33)\n                                    ) && (blake2b256(box31.propositionBytes) == placeholder[Coll[Byte]](30))\n                                  ) && (l34 >= placeholder[Long](31) + i12.toLong + placeholder[Long](32))\n                                ) && (\n                                  tuple37._2.toBigInt * bi38 * bi39 / bi40 + bi40 * placeholder[Int](33).toBigInt / placeholder[BigInt](\n                                    34\n                                  ) * i41.toBigInt + bi38 * bi39 >= l33.toBigInt * l45.toBigInt / i41.toBigInt\n                                )\n                              ) && (tuple32._1 == coll22)\n                            ) && box31.R4[Coll[Byte]].isDefined\n                          ) && (tuple46._2 == box47.R4[Coll[Long]].get.size - placeholder[Int](35))\n                        ) && (tuple46._1 == i49)\n                      ) && (box31.R6[(Long, Long)].get == (l45, box42.R7[Coll[Long]].get(i44)))\n                    ) && (box31.R7[Coll[Byte]].get == coll43)\n                  ) && box31.R8[GroupElement].isDefined\n                ) && ((l51 > HEIGHT.toLong) && (l51 < HEIGHT + placeholder[Int](36).toLong))\n              ) && (tuple50._2 == placeholder[Long](37))\n            ) && ((box47.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39)) && (box47.R6[Int].get == i49))\n          ) && (tuple37._1 == coll15)\n        ) && (box48.tokens(placeholder[Int](40))._1 == placeholder[Coll[Byte]](41))\n      ) && (box42.tokens(placeholder[Int](42))._1 == coll27)\n    )\n  )} else {\n    sigmaProp(\n      (((((((bool11 && bool13) && bool14) && bool19) && bool23) && bool29) && bool16) && (l26 < placeholder[Long](43))) || (\n        (\n          (\n            ((((bool11 && bool14) && (tuple17._1 == tuple18._1)) && bool13) && (tuple20 == tuple21)) && (\n              bi28 * l6.toBigInt + l24.toBigInt / placeholder[Long](44) - tuple17._2.toBigInt > bi28 * l9.toBigInt + l25.toBigInt / placeholder[Long](\n                45\n              ) - tuple18._2.toBigInt\n            )\n          ) && bool16\n        ) && if (i2 > placeholder[Int](46)) {(\n          val box31 = OUTPUTS(placeholder[Int](47))\n          val box32 = coll1(placeholder[Int](48))\n          val tuple33 = box31.tokens(placeholder[Int](49))\n          (\n            ((box31.propositionBytes == box32.R8[Coll[Byte]].get) && (box31.value >= i12.toLong)) && (\n              (\n                tuple33._2 >= max(\n                  if (l30 <= placeholder[Long](50)) { l30 / placeholder[Int](51).toLong } else {\n                    if (l30 <= placeholder[Long](52)) {\n                      l30 - placeholder[Long](53) / placeholder[Int](54).toLong + placeholder[Long](55) / placeholder[Int](56).toLong\n                    } else {\n                      l30 - placeholder[Long](57) - placeholder[Long](58) / placeholder[Int](59).toLong + placeholder[Long](60) / placeholder[Int](\n                        61\n                      ).toLong + placeholder[Long](62) / placeholder[Int](63).toLong\n                    }\n                  }, placeholder[Long](64)\n                )\n              ) && (tuple33._1 == coll15)\n            )\n          ) && (box32.tokens(placeholder[Int](65))._1 == coll27)\n        )} else { placeholder[Boolean](66) }\n      )\n    )\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "02a406e0fc7c2bcd8438f53de3e8c4f70d272be21c5e7989615d27f8ea48bb98",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT RSN-0e",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "acf045d8a7b468384f5b92ac174666443bfbcb80984b9c077b4ea5caca7ec2ef",
          "index": 1,
          "amount": 8999998826342560,
          "name": "Lend Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "4849995b1295d8205c581c25c8f146ad01d3cae741013487a6eb80ee36ba7dd4",
          "index": 2,
          "amount": 8999999923462626,
          "name": "Borrow Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 3,
          "amount": 1120177841,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "ae06e9ce920f48772b9409cc519739db6a9dabef88b386986ba9e397ff27f186",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "e4cad089e59845ae5187b1f26c51b53c1d91206e5df4791be44a577c85a68986",
      "outputTransactionId": "42b3e02ff709e821bd9f960dcc30e9372a697ff20e6bc56601085a311faae79a",
      "outputIndex": 1,
      "outputGlobalIndex": 37986116,
      "outputCreatedAt": 1221750,
      "outputSettledAt": 1221752,
      "ergoTree": "100f04000e2002a406e0fc7c2bcd8438f53de3e8c4f70d272be21c5e7989615d27f8ea48bb98040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
      "ergoTreeConstants": "0: 0\n1: Coll(2,-92,6,-32,-4,124,43,-51,-124,56,-11,61,-29,-24,-60,-9,13,39,43,-30,28,94,121,-119,97,93,39,-8,-22,72,-69,-104)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = placeholder[Coll[Byte]](1)\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = box4.tokens\n  val coll6 = SELF.tokens\n  val tuple7 = coll6(placeholder[Int](3))\n  val tuple8 = coll5(placeholder[Int](4))\n  sigmaProp(\n    (\n      (\n        (\n          ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n            box1.value - box4.value >= SELF.value - placeholder[Long](7)\n          )\n        ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n      ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n    ) && (INPUTS(placeholder[Int](14)) == SELF)\n  )\n}",
      "address": "r5zW3yf589G7zj8Yfw45X8TkWiJnUV1SHvhWaUwPpC4Um4WrF26DBNNYqkoSStYVjju3DX9u1GaaUVKnAPE6hFVxX2Xkt6bcygdPaEsAimCoYZrALq8LbrX8WXHnM5CChUvBXsjKZyPqqZThb5efbuSwgn8GeR2RkHGkT9CUtQrd6RN4Wn2buX55zNmaoUDVrdi5c8t3rJbERYy4S2pwn4i8xbAnCquNS65jk6J26EP3Lzs7yxqfiXBXJW37LDDwANwKchUJmzXfx2kkSB5XLSycYMRZZ2rSyyw4esZdUrtQZdiRBsyKP37rbmsU4Qjs6zkbRXijBbTAks2YmWA",
      "assets": [
        {
          "tokenId": "4849995b1295d8205c581c25c8f146ad01d3cae741013487a6eb80ee36ba7dd4",
          "index": 0,
          "amount": 3000000,
          "name": "Borrow Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 3006719,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "54a1b41532de1676e4d41d745b8fc961cd970c52ce9a8cf9ebda1d69847c9465",
      "transactionId": "5acddd9a8de133fddd796af30e10dba6821fd41525ce5f80cb2fd2a6d91d7eda",
      "blockId": "00736117fc455bff977c90e52aae2b58ff5a3950bed7e8880bee34cb5baa8002",
      "value": 45000000,
      "index": 0,
      "globalIndex": 37986186,
      "creationHeight": 1221753,
      "settlementHeight": 1221755,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 3\n2: 3\n3: 1000000\n4: 0\n5: 0\n6: 1\n7: 1\n8: 2\n9: 2\n10: 9000000000000000\n11: 9000000000000000\n12: Coll(-102,49,-53,-84,106,113,74,20,74,48,-54,-5,88,-8,90,-123,73,8,-58,43,29,-110,63,-8,95,-78,-78,-87,-116,79,-24,-84)\n13: CBigInt(1000000000000000)\n14: 0\n15: -1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 5000000\n22: 1000\n23: 3\n24: 0\n25: 0\n26: 2\n27: 1\n28: -1\n29: 0\n30: Coll(-107,-70,-17,16,91,25,76,-77,-25,126,28,84,25,62,-29,5,-76,-74,31,-114,-91,21,28,-56,105,75,69,-99,-4,111,25,-95)\n31: 20000\n32: 1000000\n33: 2\n34: CBigInt(100)\n35: 1\n36: 500000\n37: 100000000\n38: 0\n39: Coll(-71,-9,10,-114,77,16,110,124,-5,-85,36,-38,-59,48,38,126,-14,66,-3,54,92,62,40,10,-72,5,-67,-52,-126,123,-75,-74)\n40: 0\n41: Coll(6,-31,-40,-5,72,-71,-10,-83,51,86,51,5,70,1,-45,-71,-44,-102,-70,-32,119,1,26,-1,-26,-105,58,-94,38,126,-85,-108)\n42: 0\n43: 0\n44: 9000000000000010\n45: 9000000000000010\n46: 0\n47: 1\n48: 0\n49: 0\n50: 400000\n51: 160\n52: 4000000\n53: 400000\n54: 200\n55: 400000\n56: 160\n57: 4000000\n58: 400000\n59: 250\n60: 4000000\n61: 200\n62: 400000\n63: 160\n64: 1\n65: 0\n66: false",
      "ergoTreeScript": "{\n  val coll1 = CONTEXT.dataInputs\n  val i2 = coll1.size\n  val box3 = OUTPUTS(placeholder[Int](0))\n  val coll4 = box3.tokens\n  val tuple5 = coll4(placeholder[Int](1))\n  val l6 = tuple5._2\n  val coll7 = SELF.tokens\n  val tuple8 = coll7(placeholder[Int](2))\n  val l9 = tuple8._2\n  val l10 = l6 - l9\n  val bool11 = box3.propositionBytes == SELF.propositionBytes\n  val i12 = placeholder[Int](3)\n  val bool13 = box3.value >= i12.toLong\n  val bool14 = coll4(placeholder[Int](4)) == coll7(placeholder[Int](5))\n  val coll15 = tuple8._1\n  val bool16 = tuple5._1 == coll15\n  val tuple17 = coll4(placeholder[Int](6))\n  val tuple18 = coll7(placeholder[Int](7))\n  val bool19 = tuple17 == tuple18\n  val tuple20 = coll4(placeholder[Int](8))\n  val tuple21 = coll7(placeholder[Int](9))\n  val coll22 = tuple21._1\n  val bool23 = tuple20._1 == coll22\n  val l24 = placeholder[Long](10) - tuple20._2\n  val l25 = placeholder[Long](11) - tuple21._2\n  val l26 = l24 - l25\n  val coll27 = placeholder[Coll[Byte]](12)\n  val bi28 = placeholder[BigInt](13)\n  val bool29 = l10 > placeholder[Long](14)\n  val l30 = if (bool29) { l10 } else { l10 * placeholder[Long](15) }\n  if (i2 > placeholder[Int](16)) {(\n    val box31 = OUTPUTS(placeholder[Int](17))\n    val tuple32 = box31.tokens(placeholder[Int](18))\n    val l33 = tuple32._2\n    val l34 = box31.value\n    val box35 = coll1(placeholder[Int](19))\n    val coll36 = box35.tokens\n    val tuple37 = coll36(placeholder[Int](20))\n    val bi38 = l34.toBigInt - placeholder[Int](21).toBigInt\n    val bi39 = box35.R4[Int].get.toBigInt\n    val bi40 = box35.value.toBigInt\n    val i41 = placeholder[Int](22)\n    val box42 = coll1(placeholder[Int](23))\n    val coll43 = coll36(placeholder[Int](24))._1\n    val i44 = box42.R6[Coll[Coll[Byte]]].get.indexOf(coll43, placeholder[Int](25))\n    val l45 = box42.R4[Coll[Long]].get(i44)\n    val tuple46 = box31.R5[(Int, Int)].get\n    val box47 = coll1(placeholder[Int](26))\n    val box48 = coll1(placeholder[Int](27))\n    val i49 = box48.R4[Coll[Long]].get.size\n    val tuple50 = box31.R9[(Long, Long)].get\n    val l51 = tuple50._1\n    sigmaProp(\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  (\n                                    (\n                                      (\n                                        (\n                                          (\n                                            (\n                                              (((bool11 && (l10 * placeholder[Long](28) == l33)) && (l10 < placeholder[Long](29))) && bool13) && bool14\n                                            ) && bool16\n                                          ) && bool19\n                                        ) && bool23\n                                      ) && (l26 == l33)\n                                    ) && (blake2b256(box31.propositionBytes) == placeholder[Coll[Byte]](30))\n                                  ) && (l34 >= placeholder[Long](31) + i12.toLong + placeholder[Long](32))\n                                ) && (\n                                  tuple37._2.toBigInt * bi38 * bi39 / bi40 + bi40 * placeholder[Int](33).toBigInt / placeholder[BigInt](\n                                    34\n                                  ) * i41.toBigInt + bi38 * bi39 >= l33.toBigInt * l45.toBigInt / i41.toBigInt\n                                )\n                              ) && (tuple32._1 == coll22)\n                            ) && box31.R4[Coll[Byte]].isDefined\n                          ) && (tuple46._2 == box47.R4[Coll[Long]].get.size - placeholder[Int](35))\n                        ) && (tuple46._1 == i49)\n                      ) && (box31.R6[(Long, Long)].get == (l45, box42.R7[Coll[Long]].get(i44)))\n                    ) && (box31.R7[Coll[Byte]].get == coll43)\n                  ) && box31.R8[GroupElement].isDefined\n                ) && ((l51 > HEIGHT.toLong) && (l51 < HEIGHT + placeholder[Int](36).toLong))\n              ) && (tuple50._2 == placeholder[Long](37))\n            ) && ((box47.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39)) && (box47.R6[Int].get == i49))\n          ) && (tuple37._1 == coll15)\n        ) && (box48.tokens(placeholder[Int](40))._1 == placeholder[Coll[Byte]](41))\n      ) && (box42.tokens(placeholder[Int](42))._1 == coll27)\n    )\n  )} else {\n    sigmaProp(\n      (((((((bool11 && bool13) && bool14) && bool19) && bool23) && bool29) && bool16) && (l26 < placeholder[Long](43))) || (\n        (\n          (\n            ((((bool11 && bool14) && (tuple17._1 == tuple18._1)) && bool13) && (tuple20 == tuple21)) && (\n              bi28 * l6.toBigInt + l24.toBigInt / placeholder[Long](44) - tuple17._2.toBigInt > bi28 * l9.toBigInt + l25.toBigInt / placeholder[Long](\n                45\n              ) - tuple18._2.toBigInt\n            )\n          ) && bool16\n        ) && if (i2 > placeholder[Int](46)) {(\n          val box31 = OUTPUTS(placeholder[Int](47))\n          val box32 = coll1(placeholder[Int](48))\n          val tuple33 = box31.tokens(placeholder[Int](49))\n          (\n            ((box31.propositionBytes == box32.R8[Coll[Byte]].get) && (box31.value >= i12.toLong)) && (\n              (\n                tuple33._2 >= max(\n                  if (l30 <= placeholder[Long](50)) { l30 / placeholder[Int](51).toLong } else {\n                    if (l30 <= placeholder[Long](52)) {\n                      l30 - placeholder[Long](53) / placeholder[Int](54).toLong + placeholder[Long](55) / placeholder[Int](56).toLong\n                    } else {\n                      l30 - placeholder[Long](57) - placeholder[Long](58) / placeholder[Int](59).toLong + placeholder[Long](60) / placeholder[Int](\n                        61\n                      ).toLong + placeholder[Long](62) / placeholder[Int](63).toLong\n                    }\n                  }, placeholder[Long](64)\n                )\n              ) && (tuple33._1 == coll15)\n            )\n          ) && (box32.tokens(placeholder[Int](65))._1 == coll27)\n        )} else { placeholder[Boolean](66) }\n      )\n    )\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "02a406e0fc7c2bcd8438f53de3e8c4f70d272be21c5e7989615d27f8ea48bb98",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT RSN-0e",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "acf045d8a7b468384f5b92ac174666443bfbcb80984b9c077b4ea5caca7ec2ef",
          "index": 1,
          "amount": 8999998826342560,
          "name": "Lend Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "4849995b1295d8205c581c25c8f146ad01d3cae741013487a6eb80ee36ba7dd4",
          "index": 2,
          "amount": 8999999926462626,
          "name": "Borrow Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 3,
          "amount": 1123184560,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e5589a1503d00021819781c9ffdf5bbdeb01e8670140b053cc39bd2f7c21b7b4",
      "mainChain": true
    },
    {
      "boxId": "da9784efe292ab48d336baebffaae317acded9ee059c5fc46918bfc7f94258e4",
      "transactionId": "5acddd9a8de133fddd796af30e10dba6821fd41525ce5f80cb2fd2a6d91d7eda",
      "blockId": "00736117fc455bff977c90e52aae2b58ff5a3950bed7e8880bee34cb5baa8002",
      "value": 1000000,
      "index": 1,
      "globalIndex": 37986187,
      "creationHeight": 1221753,
      "settlementHeight": 1221755,
      "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": "2d102714d9374974e1b7a42a5c20ba7b3deaafce45dda2e24632b9960df4ebdf",
      "mainChain": true
    }
  ],
  "size": 1634,
  "isUnconfirmed": false
}