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Inputs (2)
Output transaction:
Settlement height:
Value:
0.035 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (2)
Spent in transaction:
Settlement height:
Value:
0.036 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.59 KB
Received time: 12/14/2023 08:09:15 PM
Included in blocks: 1,155,974
Confirmations: 600,140
Total coins transferred: 0.037 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000614 ERG
Raw Transaction Data
{
  "id": "2b72fdc330d78615e97e7ecddc259e62c5eff8cd388658c11536ecd867cbb7ec",
  "blockId": "b3fbd56adba412b9eaf7b18444ebb994fcc48a43711203bf2ba331c26f62f36c",
  "inclusionHeight": 1155974,
  "timestamp": 1702584555546,
  "index": 94,
  "globalIndex": 6268208,
  "numConfirmations": 600140,
  "inputs": [
    {
      "boxId": "52cd8293532d39397f692f2f3d473a4f52c342cb7b8603f8ead6bcf2b917aa8c",
      "value": 35000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "334b8eb69d61476cf75dc4ea69918cbcc13b2dcc0bb5853b269b9149c6d84103",
      "outputTransactionId": "eb92beddef638792a73c6e125c08b64663308ebbda9392e954497ba88f6161ab",
      "outputIndex": 0,
      "outputGlobalIndex": 35050330,
      "outputCreatedAt": 1155518,
      "outputSettledAt": 1155520,
      "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(-35,-98,-102,-104,-121,84,67,116,32,-38,48,120,-50,-33,-36,33,-61,122,75,79,-34,118,-76,-118,110,66,-53,120,82,-31,24,-23)\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(46,47,87,46,-28,-30,-114,89,-55,93,-71,-4,81,13,-125,117,-17,100,26,115,37,8,122,52,21,90,-8,-115,-106,-2,87,16)\n31: 50000000\n32: 1000000\n33: 2\n34: CBigInt(100)\n35: 1\n36: 500000\n37: 100000000\n38: 0\n39: Coll(-48,-32,84,-51,93,55,-19,-7,36,-78,100,-88,40,106,-9,43,5,-92,-122,105,-67,4,-84,-83,-86,-81,-5,44,127,-37,-126,114)\n40: 0\n41: Coll(-59,-109,21,-33,55,80,23,98,-20,40,120,-16,-83,-94,46,16,-49,-85,54,-68,-126,38,-98,2,-38,29,76,2,-11,-22,-19,79)\n42: 0\n43: 0\n44: 9000000000000010\n45: 9000000000000010\n46: 0\n47: 1\n48: 0\n49: 0\n50: 2000\n51: 160\n52: 200000\n53: 2000\n54: 200\n55: 2000\n56: 160\n57: 200000\n58: 2000\n59: 250\n60: 200000\n61: 200\n62: 2000\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": "6Q6fbqfbMAogw42DWDtKuKt9frSKdqW92cmiPbeF2SnuYCS9Ca43ZAiJvR7KjbKursffXBwTuRfRyvZv7D9fr288gd6ctQSU55V7jg4xeGy77VHcxUAqQqMqMy7v9FspKJ3wUv5sBDfqXaL7iX6JvvjwcRmRNtkk7Es7zmVKVvcrizZoher8GdkGkt5oWeF4pzeDcUk7dLiQUPEVhYe6Qi3o2eqdba1xH5pbX1TXssdHnQNwV4qUDfQjq2xzQkCizu7ByHfsp3E8jZiQXzpNDbar6kdVc6kYUmYuVsMNR7qCQ3tHKi8wcKkamWUq7upVBxfYBcej76SyWFr3AVwYDykf8tY7qf1KeCUHP7eRtEnpDy2StzMQXVr6XQSJKXA7n6L75Xqgc8H2fua7XkhEwgYiFTQArRyq41y7eQ6Ra7kjMjtSBxLoAGXPdKoQQTJqrmxRrFnei3vMPZfXpjcMtYgw83epZj8WdCGxWU3kcadLG627HM8U7rpyS5gvxUUoAakM2AwANvPJ2aRKAVPBrvfGTgEXMYgJ2LQvmNoF8924nFjXgJc8dwgPwVLrbZioSbacixWsdAT1arPzF3JyYJNimfJFRyAXEqmpP9iDF5WfvdjCuUxnJqAQTwTGDu1L2hxXxhHgVfzoqTgxcqwJ1Rt1wbrHo55J2ZaNxMbh6urtSXEU5rvxL6uAW49H51KJ8Dn6Jg98WAcdvv5oww1QevXuqSyqmQdwkKE96MzZXZYsv4dXoJWHVfFS2FknRxqFbDMk4tz8LH7eXrse7s2ggyfxwX5AQA9ynbwUrSn4PpzCjXezva5sA9Dkjy5bVRRLViTpAkKjKQD7Xn2KqJ1MjThf8xr4m7yeMHnYBaPWxPVhQsQpNU2EW6ZuFbmz8mLtaadVXphfwEgxeezopehtA8T2CnaJbFgWxv1NmcMDFi9oE6SEEBNzQi2bQwvprqAGQuPCBAAezUPWZ2pnesG5TW7Xu5btujKCN3RzmtzBm6gDEEkt2a4Rxk8GBMoB2TysAgiGgJJxkEPiRpZNzbmMwn6ah8Z1z5iiRPY5TSEjHbdA1qgyNTbR91JUajZCafnkjCQtkzKf36r7h9nRx6PTJCM51tziffqhLu3wqhwHbu6wz97PtkA3FeC5bmpWEoDeEE4dSbZ836aigMiATYZmgyj4LEyGpqoiRxPT9R6cStdNN8MwUpVTCne72zbGSfnVChGuKXH5oGpoZHPwD7MdQRY8FGyNKzBfrjvxEnXczTm8J2WEA882ExDZQdDDAmUmhAkTkRLBQFcPb3NEk6B7AJyshAHN5ThvjqJnbKEiNoCFr3nXBN4YcV3QymB9soR7N2b5rRWdgPCdHT731AW8mMP3Gjra93chsyRMMAGtquveWYWZ7ESXFLTkZTYtCskWDEZzezyFtgQ1tSnAsqetspa9NKxXSy8cb88YvwPeJk191AdPRTAZLNjYwdC5NzRyxsC897HKjXzkkvrC72SZQtJSyifb3R1Lzd92y3ic1JxAimDy92EQDiHY1hZ5yKRiJJZfkPfjDgxqnMCHRXXu7nxwFRRCeEkeUs7VafTYfYQurhoBnxg7Pzi6NAdohtmaEVo1DeKFBec1axcDLPGs9jzQEBYR3nkxJEuCGwDEJEKCm2142vA6uXvJ91Y22A6bkBEdmcAsotitHk6EMcq4YkUAmko9GnDXdTgTtu3bjRrEwiqQxb6d3pFE2jXMwoMR35bntspPQMMi7pCJYtqM6x2NT",
      "assets": [
        {
          "tokenId": "a694087fd21779c0e4319555d3dcdf68c2110b7588f5f17e4688aaf57285e1b1",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS-1e",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "acee078a7a8c31cbd5718f0230984b1dcd32a40e48a148d7fbc070f478a4073a",
          "index": 1,
          "amount": 8999508662896773,
          "name": "Lend Token QUACKS-1e",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "27262c7b660e6c942aaaa10b0574808836236d7705af2c3a57d3794612f4d8b7",
          "index": 2,
          "amount": 8999997764260000,
          "name": "Borrow Token QUACKS-1e",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 489382411737,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "086abba6ffdbf1a786348fb30578b389ccef95accb5bc5cab2400a2e22cad5ab",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "93a5cc1f3221c03b31be5d12a46d25eb9781cd526459304dfd0a41a074e4332d",
      "outputTransactionId": "fdbe18da9da3cb012da9bfb601db990d8f6771153bdb1bf479e100fbf2f777d0",
      "outputIndex": 1,
      "outputGlobalIndex": 35068327,
      "outputCreatedAt": 1155969,
      "outputSettledAt": 1155971,
      "ergoTree": "100f04000e20a694087fd21779c0e4319555d3dcdf68c2110b7588f5f17e4688aaf57285e1b1040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
      "ergoTreeConstants": "0: 0\n1: Coll(-90,-108,8,127,-46,23,121,-64,-28,49,-107,85,-45,-36,-33,104,-62,17,11,117,-120,-11,-15,126,70,-120,-86,-11,114,-123,-31,-79)\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": "r5zW3yf5Cp6PAiK1cgDEj9k4tExPLMR9jAFGR1QXD3NtVvAhRDLgyGCGn82JJwzgV7v41zaN3NmoWDrk2nH5SiQGE4pafSc9aWBWDn256v2iZWrU6rPGbxbs3arTMHL4rxq3DW5qQ31TUU9MGcRaq2dt2nUdWLoQNp1LLDrtsNM57ToLd3VV3WnBEPzHjq64xvb1MoyME2QaCNGUH6vsQw2a51YZAUajC2T7M38RQ3mNsD9nfp7WgikTuJrK9WRqRNXBXPy8mrSWGSthCo5cyQKjs9NVtBcaFMsuiCTqYGJRT1SySxcKF1fPAYjoCf7uTHE5WKkTZkz39jPmZK6",
      "assets": [
        {
          "tokenId": "27262c7b660e6c942aaaa10b0574808836236d7705af2c3a57d3794612f4d8b7",
          "index": 0,
          "amount": 1700000000,
          "name": "Borrow Token QUACKS-1e",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 1,
          "amount": 1700034308,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "fe21d677cbbfa396d70c65fd3928e0757fb886be925d83eaf5d635803c12c977",
      "transactionId": "2b72fdc330d78615e97e7ecddc259e62c5eff8cd388658c11536ecd867cbb7ec",
      "blockId": "b3fbd56adba412b9eaf7b18444ebb994fcc48a43711203bf2ba331c26f62f36c",
      "value": 36000000,
      "index": 0,
      "globalIndex": 35070480,
      "creationHeight": 1155972,
      "settlementHeight": 1155974,
      "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(-35,-98,-102,-104,-121,84,67,116,32,-38,48,120,-50,-33,-36,33,-61,122,75,79,-34,118,-76,-118,110,66,-53,120,82,-31,24,-23)\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(46,47,87,46,-28,-30,-114,89,-55,93,-71,-4,81,13,-125,117,-17,100,26,115,37,8,122,52,21,90,-8,-115,-106,-2,87,16)\n31: 50000000\n32: 1000000\n33: 2\n34: CBigInt(100)\n35: 1\n36: 500000\n37: 100000000\n38: 0\n39: Coll(-48,-32,84,-51,93,55,-19,-7,36,-78,100,-88,40,106,-9,43,5,-92,-122,105,-67,4,-84,-83,-86,-81,-5,44,127,-37,-126,114)\n40: 0\n41: Coll(-59,-109,21,-33,55,80,23,98,-20,40,120,-16,-83,-94,46,16,-49,-85,54,-68,-126,38,-98,2,-38,29,76,2,-11,-22,-19,79)\n42: 0\n43: 0\n44: 9000000000000010\n45: 9000000000000010\n46: 0\n47: 1\n48: 0\n49: 0\n50: 2000\n51: 160\n52: 200000\n53: 2000\n54: 200\n55: 2000\n56: 160\n57: 200000\n58: 2000\n59: 250\n60: 200000\n61: 200\n62: 2000\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": "a694087fd21779c0e4319555d3dcdf68c2110b7588f5f17e4688aaf57285e1b1",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS-1e",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "acee078a7a8c31cbd5718f0230984b1dcd32a40e48a148d7fbc070f478a4073a",
          "index": 1,
          "amount": 8999508662896773,
          "name": "Lend Token QUACKS-1e",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "27262c7b660e6c942aaaa10b0574808836236d7705af2c3a57d3794612f4d8b7",
          "index": 2,
          "amount": 8999999464260000,
          "name": "Borrow Token QUACKS-1e",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 491082446045,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "91b9386e6f6b7c3224e1eacca1d2e8312677fe1538e3bade200ded23933d12e4",
      "mainChain": true
    },
    {
      "boxId": "8155c7b0ee965eb8eb43c5fc4bb9e105f76c1fcec980da082bca1470a102d409",
      "transactionId": "2b72fdc330d78615e97e7ecddc259e62c5eff8cd388658c11536ecd867cbb7ec",
      "blockId": "b3fbd56adba412b9eaf7b18444ebb994fcc48a43711203bf2ba331c26f62f36c",
      "value": 1000000,
      "index": 1,
      "globalIndex": 35070481,
      "creationHeight": 1155972,
      "settlementHeight": 1155974,
      "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": "832ca69d3274cb2deda52bc4ca71592be7a01e471bc7c7058948678ce542a3d5",
      "mainChain": true
    }
  ],
  "size": 1628,
  "isUnconfirmed": false
}