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Coll(-12,-49,23,85,-84,127,104,70,-23,65,125,102,43,43,-19,-57,-102,122,33,-102,-72,15,106,74,92,73,-84,65,-10,57,-17,-4)\n1: Coll(65,-127,-78,-23,18,67,52,-105,60,95,98,88,-91,-67,-12,122,-64,-107,71,-26,113,119,-58,112,-127,-121,50,-97,-50,66,54,79)\n2: Coll(76,6,89,-30,-33,61,107,-111,98,-33,-59,110,6,-48,12,125,89,74,84,-18,-16,-96,112,45,-91,46,-103,60,23,-10,-96,35)\n3: Coll(103,-73,-21,-7,13,67,-48,111,-88,-34,21,48,-89,46,-59,26,62,86,-67,8,-51,121,85,-107,117,119,96,43,-101,41,88,-80)\n4: Coll(60,37,62,43,124,-118,-120,63,-28,-34,30,-73,-96,-19,26,-85,-43,-97,-81,-29,103,43,-6,27,94,-112,125,-91,89,-16,-125,-86)\n5: 0\n6: 1\n7: 1\n8: 1\n9: 1\n10: 0\n11: 0\n12: 1\n13: 0\n14: 0\n15: 2\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: Coll(-9,-16,8,-83,-113,-54,-83,68,-112,-40,-25,-118,-74,-45,-15,30,-2,114,19,-95,63,123,36,55,-107,-127,-117,21,94,26,-52,-110)\n22: 0\n23: 3\n24: 3\n25: 1\n26: 0\n27: 50\n28: 10000\n29: 50\n30: 10000\n31: 0\n32: 2\n33: 0\n34: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n35: 64\n36: true\n37: 4\n38: 65\n39: 5\n40: 66\n41: 0\n42: 1\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 1\n49: 0\n50: 1\n51: 1\n52: 1\n53: 1\n54: 5\n55: 1\n56: 2\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0","ergoTreeScript":"{\n  val coll1 = CONTEXT.dataInputs\n  val coll2 = coll1.filter({(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) })\n  val coll3 = SELF.propositionBytes\n  val coll4 = INPUTS.filter({(box4: Box) => box4.propositionBytes == coll3 })\n  val coll5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n  val coll6 = OUTPUTS.filter({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](1) })\n  val coll7 = placeholder[Coll[Byte]](2)\n  val coll8 = placeholder[Coll[Byte]](3)\n  val coll9 = placeholder[Coll[Byte]](4)\n  val i10 = coll4.size\n  sigmaProp(\n    (\n      (\n        (\n          (((coll1.size > placeholder[Int](5)) && (coll2.size == placeholder[Int](6))) && (coll4.size == placeholder[Int](7))) && (\n            coll5.size == placeholder[Int](8)\n          )\n        ) && (coll6.size == placeholder[Int](9))\n      ) && \n        val box11 = coll1(placeholder[Int](10))\n        val box12 = coll6(placeholder[Int](11))\n        val coll13 = box12.R7[Coll[Long]].get\n        val l14 = box11.R4[Int].get.toLong\n        val l15 = coll13(placeholder[Int](12))\n        val l16 = HEIGHT.toLong\n        val coll17 = box12.R5[Coll[Long]].get\n        val l18 = coll17(placeholder[Int](13))\n        val bool19 = l18 == placeholder[Long](14)\n        val l20 = coll13(placeholder[Int](15))\n        val coll21 = box12.tokens\n        val coll22 = coll2(placeholder[Int](16)).R4[Coll[Long]].get\n        val l23 = INPUTS.fold(placeholder[Long](17), {(tuple23: (Long, Box)) => tuple23._2.tokens.fold(tuple23._1, {(tuple25: (Long, (Coll[Byte], Long))) =>\n                val tuple27 = tuple25._2\n                val l28 = tuple25._1\n                if (tuple27._1 == coll8) { l28 + tuple27._2 } else { l28 }\n              }) })\n        val box24 = coll5(placeholder[Int](18))\n        val coll25 = box24.tokens\n        val coll26 = SELF.R4[Coll[Long]].get\n        val l27 = coll26(placeholder[Int](19))\n        val coll28 = box24.R4[Coll[Long]].get\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      ((box11.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21)) && (coll13(placeholder[Int](22)) == l14)) && (\n                        (l15 >= l16 - placeholder[Long](23)) && (l15 <= l16)\n                      )\n                    ) && if (bool19) {(\n                      val l29 = byteArrayToLong(box11.R5[AvlTree].get.get(coll7, getVar[Coll[Byte]](1.toByte).get).get)\n                      val l30 = coll17(placeholder[Int](24))\n                      ((box12.R6[Coll[Byte]].get == coll7) && (l20 == l29)) && if (coll17(placeholder[Int](25)) > placeholder[Long](26)) {\n                        l30 >= l29 + l29 * placeholder[Long](27) / placeholder[Long](28)\n                      } else { l30 <= l29 - l29 * placeholder[Long](29) / placeholder[Long](30) }\n                    )} else { l20 == placeholder[Long](31) }\n                  ) && if (bool19 || (l18 == placeholder[Long](32))) { coll21.fold(placeholder[Long](33), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == placeholder[Coll[Byte]](34)) { l32 + tuple31._2 } else { l32 }\n                      }) >= coll22(placeholder[Int](35)) } else { placeholder[Boolean](36) }\n                ) && ((coll17(placeholder[Int](37)) >= coll22(placeholder[Int](38))) && (coll17(placeholder[Int](39)) >= coll22(placeholder[Int](40))))\n              ) && (((coll21.fold(placeholder[Long](41), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == placeholder[Long](42)) && (coll25.fold(placeholder[Long](43), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == l23 - placeholder[Long](44))) && (OUTPUTS.fold(placeholder[Long](45), {(tuple29: (Long, Box)) => tuple29._2.tokens.fold(tuple29._1, {(tuple31: (Long, (Coll[Byte], Long))) =>\n                          val tuple33 = tuple31._2\n                          val l34 = tuple31._1\n                          if (tuple33._1 == coll8) { l34 + tuple33._2 } else { l34 }\n                        }) }) == l23))\n            ) && if (l14 > l27) { (coll28(placeholder[Int](46)) == l14) && (coll28(placeholder[Int](47)) == placeholder[Long](48)) } else {\n              ((coll28(placeholder[Int](49)) == l27) && (coll28(placeholder[Int](50)) == coll26(placeholder[Int](51)) + placeholder[Long](52))) && (\n                coll28(placeholder[Int](53)) <= placeholder[Long](54)\n              )\n            }\n          ) && coll25.exists({(tuple29: (Coll[Byte], Long)) => (tuple29._1 == coll9) && (tuple29._2 == placeholder[Long](55)) })\n        ) && (box24.value >= SELF.value)\n      \n    ) || (\n      (((i10 >= placeholder[Int](56)) && (coll5.size == i10)) && (coll6.size == placeholder[Int](57))) && (\n        (\n          (\n            coll5.forall(\n              {(box11: Box) => box11.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == coll9) && (tuple13._2 == placeholder[Long](58)) }) }\n            ) && (coll5.fold(placeholder[Long](59), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }) == coll4.fold(placeholder[Long](60), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }))\n          ) && (\n            coll5.fold(placeholder[Long](61), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll4.fold(\n              placeholder[Long](62), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }\n            )\n          )\n        ) && coll5.zip(coll4).forall({(tuple11: (Box, Box)) => tuple11._1.R4[Coll[Long]].get == tuple11._2.R4[Coll[Long]].get })\n      )\n    )\n  )\n}","address":"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","assets":[{"tokenId":"67b7ebf90d43d06fa8de1530a72ec51a3e56bd08cd7955957577602b9b2958b0","index":0,"amount":249999992,"name":"ePerps_ada_dust_STAMP_TOKEN","decimals":0,"type":"EIP-004"},{"tokenId":"3c253e2b7c8a883fe4de1eb7a0ed1aabd59fafe3672bfa1b5e907da559f083aa","index":1,"amount":1,"name":"ePerps_ada_dust_STAMPER_ID_TOKEN","decimals":0,"type":"EIP-004"}],"additionalRegisters":{"R4":{"serializedValue":"1102d2bb0102","sigmaType":"Coll[SLong]","renderedValue":"[12009,1]"}},"spentTransactionId":null,"mainChain":true},{"boxId":"36d4c125ffcc67e25348ffc40ff19fd46998658d993dac90092bb1c3526c86e7","transactionId":"5419f8c86c0948baeb27951a56232df0b2f003f1ca0fe4bb91880f48cf06422d","blockId":"9a115aea04b76932fd65875a41e86a288de4110180c6a5f93dcb8efb01fbfbfc","value":1000000,"index":4,"globalIndex":337546,"creationHeight":1850406,"settlementHeight":1850408,"ergoTree":"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","ergoTreeConstants":"0: Coll(-12,-49,23,85,-84,127,104,70,-23,65,125,102,43,43,-19,-57,-102,122,33,-102,-72,15,106,74,92,73,-84,65,-10,57,-17,-4)\n1: Coll(65,-127,-78,-23,18,67,52,-105,60,95,98,88,-91,-67,-12,122,-64,-107,71,-26,113,119,-58,112,-127,-121,50,-97,-50,66,54,79)\n2: Coll(76,6,89,-30,-33,61,107,-111,98,-33,-59,110,6,-48,12,125,89,74,84,-18,-16,-96,112,45,-91,46,-103,60,23,-10,-96,35)\n3: Coll(103,-73,-21,-7,13,67,-48,111,-88,-34,21,48,-89,46,-59,26,62,86,-67,8,-51,121,85,-107,117,119,96,43,-101,41,88,-80)\n4: Coll(60,37,62,43,124,-118,-120,63,-28,-34,30,-73,-96,-19,26,-85,-43,-97,-81,-29,103,43,-6,27,94,-112,125,-91,89,-16,-125,-86)\n5: 0\n6: 1\n7: 1\n8: 1\n9: 1\n10: 0\n11: 0\n12: 1\n13: 0\n14: 0\n15: 2\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: Coll(-9,-16,8,-83,-113,-54,-83,68,-112,-40,-25,-118,-74,-45,-15,30,-2,114,19,-95,63,123,36,55,-107,-127,-117,21,94,26,-52,-110)\n22: 0\n23: 3\n24: 3\n25: 1\n26: 0\n27: 50\n28: 10000\n29: 50\n30: 10000\n31: 0\n32: 2\n33: 0\n34: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n35: 64\n36: true\n37: 4\n38: 65\n39: 5\n40: 66\n41: 0\n42: 1\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 1\n49: 0\n50: 1\n51: 1\n52: 1\n53: 1\n54: 5\n55: 1\n56: 2\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0","ergoTreeScript":"{\n  val coll1 = CONTEXT.dataInputs\n  val coll2 = coll1.filter({(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) })\n  val coll3 = SELF.propositionBytes\n  val coll4 = INPUTS.filter({(box4: Box) => box4.propositionBytes == coll3 })\n  val coll5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n  val coll6 = OUTPUTS.filter({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](1) })\n  val coll7 = placeholder[Coll[Byte]](2)\n  val coll8 = placeholder[Coll[Byte]](3)\n  val coll9 = placeholder[Coll[Byte]](4)\n  val i10 = coll4.size\n  sigmaProp(\n    (\n      (\n        (\n          (((coll1.size > placeholder[Int](5)) && (coll2.size == placeholder[Int](6))) && (coll4.size == placeholder[Int](7))) && (\n            coll5.size == placeholder[Int](8)\n          )\n        ) && (coll6.size == placeholder[Int](9))\n      ) && \n        val box11 = coll1(placeholder[Int](10))\n        val box12 = coll6(placeholder[Int](11))\n        val coll13 = box12.R7[Coll[Long]].get\n        val l14 = box11.R4[Int].get.toLong\n        val l15 = coll13(placeholder[Int](12))\n        val l16 = HEIGHT.toLong\n        val coll17 = box12.R5[Coll[Long]].get\n        val l18 = coll17(placeholder[Int](13))\n        val bool19 = l18 == placeholder[Long](14)\n        val l20 = coll13(placeholder[Int](15))\n        val coll21 = box12.tokens\n        val coll22 = coll2(placeholder[Int](16)).R4[Coll[Long]].get\n        val l23 = INPUTS.fold(placeholder[Long](17), {(tuple23: (Long, Box)) => tuple23._2.tokens.fold(tuple23._1, {(tuple25: (Long, (Coll[Byte], Long))) =>\n                val tuple27 = tuple25._2\n                val l28 = tuple25._1\n                if (tuple27._1 == coll8) { l28 + tuple27._2 } else { l28 }\n              }) })\n        val box24 = coll5(placeholder[Int](18))\n        val coll25 = box24.tokens\n        val coll26 = SELF.R4[Coll[Long]].get\n        val l27 = coll26(placeholder[Int](19))\n        val coll28 = box24.R4[Coll[Long]].get\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      ((box11.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21)) && (coll13(placeholder[Int](22)) == l14)) && (\n                        (l15 >= l16 - placeholder[Long](23)) && (l15 <= l16)\n                      )\n                    ) && if (bool19) {(\n                      val l29 = byteArrayToLong(box11.R5[AvlTree].get.get(coll7, getVar[Coll[Byte]](1.toByte).get).get)\n                      val l30 = coll17(placeholder[Int](24))\n                      ((box12.R6[Coll[Byte]].get == coll7) && (l20 == l29)) && if (coll17(placeholder[Int](25)) > placeholder[Long](26)) {\n                        l30 >= l29 + l29 * placeholder[Long](27) / placeholder[Long](28)\n                      } else { l30 <= l29 - l29 * placeholder[Long](29) / placeholder[Long](30) }\n                    )} else { l20 == placeholder[Long](31) }\n                  ) && if (bool19 || (l18 == placeholder[Long](32))) { coll21.fold(placeholder[Long](33), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == placeholder[Coll[Byte]](34)) { l32 + tuple31._2 } else { l32 }\n                      }) >= coll22(placeholder[Int](35)) } else { placeholder[Boolean](36) }\n                ) && ((coll17(placeholder[Int](37)) >= coll22(placeholder[Int](38))) && (coll17(placeholder[Int](39)) >= coll22(placeholder[Int](40))))\n              ) && (((coll21.fold(placeholder[Long](41), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == placeholder[Long](42)) && (coll25.fold(placeholder[Long](43), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == l23 - placeholder[Long](44))) && (OUTPUTS.fold(placeholder[Long](45), {(tuple29: (Long, Box)) => tuple29._2.tokens.fold(tuple29._1, {(tuple31: (Long, (Coll[Byte], Long))) =>\n                          val tuple33 = tuple31._2\n                          val l34 = tuple31._1\n                          if (tuple33._1 == coll8) { l34 + tuple33._2 } else { l34 }\n                        }) }) == l23))\n            ) && if (l14 > l27) { (coll28(placeholder[Int](46)) == l14) && (coll28(placeholder[Int](47)) == placeholder[Long](48)) } else {\n              ((coll28(placeholder[Int](49)) == l27) && (coll28(placeholder[Int](50)) == coll26(placeholder[Int](51)) + placeholder[Long](52))) && (\n                coll28(placeholder[Int](53)) <= placeholder[Long](54)\n              )\n            }\n          ) && coll25.exists({(tuple29: (Coll[Byte], Long)) => (tuple29._1 == coll9) && (tuple29._2 == placeholder[Long](55)) })\n        ) && (box24.value >= SELF.value)\n      \n    ) || (\n      (((i10 >= placeholder[Int](56)) && (coll5.size == i10)) && (coll6.size == placeholder[Int](57))) && (\n        (\n          (\n            coll5.forall(\n              {(box11: Box) => box11.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == coll9) && (tuple13._2 == placeholder[Long](58)) }) }\n            ) && (coll5.fold(placeholder[Long](59), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }) == coll4.fold(placeholder[Long](60), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }))\n          ) && (\n            coll5.fold(placeholder[Long](61), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll4.fold(\n              placeholder[Long](62), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }\n            )\n          )\n        ) && coll5.zip(coll4).forall({(tuple11: (Box, Box)) => tuple11._1.R4[Coll[Long]].get == tuple11._2.R4[Coll[Long]].get })\n      )\n    )\n  )\n}","address":"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","assets":[{"tokenId":"67b7ebf90d43d06fa8de1530a72ec51a3e56bd08cd7955957577602b9b2958b0","index":0,"amount":250000000,"name":"ePerps_ada_dust_STAMP_TOKEN","decimals":0,"type":"EIP-004"},{"tokenId":"3c253e2b7c8a883fe4de1eb7a0ed1aabd59fafe3672bfa1b5e907da559f083aa","index":1,"amount":1,"name":"ePerps_ada_dust_STAMPER_ID_TOKEN","decimals":0,"type":"EIP-004"}],"additionalRegisters":{"R4":{"serializedValue":"11020000","sigmaType":"Coll[SLong]","renderedValue":"[0,0]"}},"spentTransactionId":null,"mainChain":true},{"boxId":"e84cdaf7762b99c9debe4db1627e3f75f857aab63fd6e05a75ce75c40135851e","transactionId":"5419f8c86c0948baeb27951a56232df0b2f003f1ca0fe4bb91880f48cf06422d","blockId":"9a115aea04b76932fd65875a41e86a288de4110180c6a5f93dcb8efb01fbfbfc","value":1000000,"index":3,"globalIndex":337545,"creationHeight":1850406,"settlementHeight":1850408,"ergoTree":"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","ergoTreeConstants":"0: Coll(-12,-49,23,85,-84,127,104,70,-23,65,125,102,43,43,-19,-57,-102,122,33,-102,-72,15,106,74,92,73,-84,65,-10,57,-17,-4)\n1: Coll(65,-127,-78,-23,18,67,52,-105,60,95,98,88,-91,-67,-12,122,-64,-107,71,-26,113,119,-58,112,-127,-121,50,-97,-50,66,54,79)\n2: Coll(76,6,89,-30,-33,61,107,-111,98,-33,-59,110,6,-48,12,125,89,74,84,-18,-16,-96,112,45,-91,46,-103,60,23,-10,-96,35)\n3: Coll(103,-73,-21,-7,13,67,-48,111,-88,-34,21,48,-89,46,-59,26,62,86,-67,8,-51,121,85,-107,117,119,96,43,-101,41,88,-80)\n4: Coll(60,37,62,43,124,-118,-120,63,-28,-34,30,-73,-96,-19,26,-85,-43,-97,-81,-29,103,43,-6,27,94,-112,125,-91,89,-16,-125,-86)\n5: 0\n6: 1\n7: 1\n8: 1\n9: 1\n10: 0\n11: 0\n12: 1\n13: 0\n14: 0\n15: 2\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: Coll(-9,-16,8,-83,-113,-54,-83,68,-112,-40,-25,-118,-74,-45,-15,30,-2,114,19,-95,63,123,36,55,-107,-127,-117,21,94,26,-52,-110)\n22: 0\n23: 3\n24: 3\n25: 1\n26: 0\n27: 50\n28: 10000\n29: 50\n30: 10000\n31: 0\n32: 2\n33: 0\n34: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n35: 64\n36: true\n37: 4\n38: 65\n39: 5\n40: 66\n41: 0\n42: 1\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 1\n49: 0\n50: 1\n51: 1\n52: 1\n53: 1\n54: 5\n55: 1\n56: 2\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0","ergoTreeScript":"{\n  val coll1 = CONTEXT.dataInputs\n  val coll2 = coll1.filter({(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) })\n  val coll3 = SELF.propositionBytes\n  val coll4 = INPUTS.filter({(box4: Box) => box4.propositionBytes == coll3 })\n  val coll5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n  val coll6 = OUTPUTS.filter({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](1) })\n  val coll7 = placeholder[Coll[Byte]](2)\n  val coll8 = placeholder[Coll[Byte]](3)\n  val coll9 = placeholder[Coll[Byte]](4)\n  val i10 = coll4.size\n  sigmaProp(\n    (\n      (\n        (\n          (((coll1.size > placeholder[Int](5)) && (coll2.size == placeholder[Int](6))) && (coll4.size == placeholder[Int](7))) && (\n            coll5.size == placeholder[Int](8)\n          )\n        ) && (coll6.size == placeholder[Int](9))\n      ) && \n        val box11 = coll1(placeholder[Int](10))\n        val box12 = coll6(placeholder[Int](11))\n        val coll13 = box12.R7[Coll[Long]].get\n        val l14 = box11.R4[Int].get.toLong\n        val l15 = coll13(placeholder[Int](12))\n        val l16 = HEIGHT.toLong\n        val coll17 = box12.R5[Coll[Long]].get\n        val l18 = coll17(placeholder[Int](13))\n        val bool19 = l18 == placeholder[Long](14)\n        val l20 = coll13(placeholder[Int](15))\n        val coll21 = box12.tokens\n        val coll22 = coll2(placeholder[Int](16)).R4[Coll[Long]].get\n        val l23 = INPUTS.fold(placeholder[Long](17), {(tuple23: (Long, Box)) => tuple23._2.tokens.fold(tuple23._1, {(tuple25: (Long, (Coll[Byte], Long))) =>\n                val tuple27 = tuple25._2\n                val l28 = tuple25._1\n                if (tuple27._1 == coll8) { l28 + tuple27._2 } else { l28 }\n              }) })\n        val box24 = coll5(placeholder[Int](18))\n        val coll25 = box24.tokens\n        val coll26 = SELF.R4[Coll[Long]].get\n        val l27 = coll26(placeholder[Int](19))\n        val coll28 = box24.R4[Coll[Long]].get\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      ((box11.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21)) && (coll13(placeholder[Int](22)) == l14)) && (\n                        (l15 >= l16 - placeholder[Long](23)) && (l15 <= l16)\n                      )\n                    ) && if (bool19) {(\n                      val l29 = byteArrayToLong(box11.R5[AvlTree].get.get(coll7, getVar[Coll[Byte]](1.toByte).get).get)\n                      val l30 = coll17(placeholder[Int](24))\n                      ((box12.R6[Coll[Byte]].get == coll7) && (l20 == l29)) && if (coll17(placeholder[Int](25)) > placeholder[Long](26)) {\n                        l30 >= l29 + l29 * placeholder[Long](27) / placeholder[Long](28)\n                      } else { l30 <= l29 - l29 * placeholder[Long](29) / placeholder[Long](30) }\n                    )} else { l20 == placeholder[Long](31) }\n                  ) && if (bool19 || (l18 == placeholder[Long](32))) { coll21.fold(placeholder[Long](33), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == placeholder[Coll[Byte]](34)) { l32 + tuple31._2 } else { l32 }\n                      }) >= coll22(placeholder[Int](35)) } else { placeholder[Boolean](36) }\n                ) && ((coll17(placeholder[Int](37)) >= coll22(placeholder[Int](38))) && (coll17(placeholder[Int](39)) >= coll22(placeholder[Int](40))))\n              ) && (((coll21.fold(placeholder[Long](41), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == placeholder[Long](42)) && (coll25.fold(placeholder[Long](43), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == l23 - placeholder[Long](44))) && (OUTPUTS.fold(placeholder[Long](45), {(tuple29: (Long, Box)) => tuple29._2.tokens.fold(tuple29._1, {(tuple31: (Long, (Coll[Byte], Long))) =>\n                          val tuple33 = tuple31._2\n                          val l34 = tuple31._1\n                          if (tuple33._1 == coll8) { l34 + tuple33._2 } else { l34 }\n                        }) }) == l23))\n            ) && if (l14 > l27) { (coll28(placeholder[Int](46)) == l14) && (coll28(placeholder[Int](47)) == placeholder[Long](48)) } else {\n              ((coll28(placeholder[Int](49)) == l27) && (coll28(placeholder[Int](50)) == coll26(placeholder[Int](51)) + placeholder[Long](52))) && (\n                coll28(placeholder[Int](53)) <= placeholder[Long](54)\n              )\n            }\n          ) && coll25.exists({(tuple29: (Coll[Byte], Long)) => (tuple29._1 == coll9) && (tuple29._2 == placeholder[Long](55)) })\n        ) && (box24.value >= SELF.value)\n      \n    ) || (\n      (((i10 >= placeholder[Int](56)) && (coll5.size == i10)) && (coll6.size == placeholder[Int](57))) && (\n        (\n          (\n            coll5.forall(\n              {(box11: Box) => box11.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == coll9) && (tuple13._2 == placeholder[Long](58)) }) }\n            ) && (coll5.fold(placeholder[Long](59), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }) == coll4.fold(placeholder[Long](60), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }))\n          ) && (\n            coll5.fold(placeholder[Long](61), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll4.fold(\n              placeholder[Long](62), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }\n            )\n          )\n        ) && coll5.zip(coll4).forall({(tuple11: (Box, Box)) => tuple11._1.R4[Coll[Long]].get == tuple11._2.R4[Coll[Long]].get })\n      )\n    )\n  )\n}","address":"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","assets":[{"tokenId":"67b7ebf90d43d06fa8de1530a72ec51a3e56bd08cd7955957577602b9b2958b0","index":0,"amount":250000000,"name":"ePerps_ada_dust_STAMP_TOKEN","decimals":0,"type":"EIP-004"},{"tokenId":"3c253e2b7c8a883fe4de1eb7a0ed1aabd59fafe3672bfa1b5e907da559f083aa","index":1,"amount":1,"name":"ePerps_ada_dust_STAMPER_ID_TOKEN","decimals":0,"type":"EIP-004"}],"additionalRegisters":{"R4":{"serializedValue":"11020000","sigmaType":"Coll[SLong]","renderedValue":"[0,0]"}},"spentTransactionId":null,"mainChain":true},{"boxId":"137fc76ca34a6b13f0926ef4a4ac24df5d13f6311f3e509b42cb1a93a54eb1f5","transactionId":"5419f8c86c0948baeb27951a56232df0b2f003f1ca0fe4bb91880f48cf06422d","blockId":"9a115aea04b76932fd65875a41e86a288de4110180c6a5f93dcb8efb01fbfbfc","value":1000000,"index":2,"globalIndex":337544,"creationHeight":1850406,"settlementHeight":1850408,"ergoTree":"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","ergoTreeConstants":"0: Coll(-12,-49,23,85,-84,127,104,70,-23,65,125,102,43,43,-19,-57,-102,122,33,-102,-72,15,106,74,92,73,-84,65,-10,57,-17,-4)\n1: Coll(65,-127,-78,-23,18,67,52,-105,60,95,98,88,-91,-67,-12,122,-64,-107,71,-26,113,119,-58,112,-127,-121,50,-97,-50,66,54,79)\n2: Coll(76,6,89,-30,-33,61,107,-111,98,-33,-59,110,6,-48,12,125,89,74,84,-18,-16,-96,112,45,-91,46,-103,60,23,-10,-96,35)\n3: Coll(103,-73,-21,-7,13,67,-48,111,-88,-34,21,48,-89,46,-59,26,62,86,-67,8,-51,121,85,-107,117,119,96,43,-101,41,88,-80)\n4: Coll(60,37,62,43,124,-118,-120,63,-28,-34,30,-73,-96,-19,26,-85,-43,-97,-81,-29,103,43,-6,27,94,-112,125,-91,89,-16,-125,-86)\n5: 0\n6: 1\n7: 1\n8: 1\n9: 1\n10: 0\n11: 0\n12: 1\n13: 0\n14: 0\n15: 2\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: Coll(-9,-16,8,-83,-113,-54,-83,68,-112,-40,-25,-118,-74,-45,-15,30,-2,114,19,-95,63,123,36,55,-107,-127,-117,21,94,26,-52,-110)\n22: 0\n23: 3\n24: 3\n25: 1\n26: 0\n27: 50\n28: 10000\n29: 50\n30: 10000\n31: 0\n32: 2\n33: 0\n34: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n35: 64\n36: true\n37: 4\n38: 65\n39: 5\n40: 66\n41: 0\n42: 1\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 1\n49: 0\n50: 1\n51: 1\n52: 1\n53: 1\n54: 5\n55: 1\n56: 2\n57: 0\n58: 1\n59: 0\n60: 0\n61: 0\n62: 0","ergoTreeScript":"{\n  val coll1 = CONTEXT.dataInputs\n  val coll2 = coll1.filter({(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) })\n  val coll3 = SELF.propositionBytes\n  val coll4 = INPUTS.filter({(box4: Box) => box4.propositionBytes == coll3 })\n  val coll5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n  val coll6 = OUTPUTS.filter({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](1) })\n  val coll7 = placeholder[Coll[Byte]](2)\n  val coll8 = placeholder[Coll[Byte]](3)\n  val coll9 = placeholder[Coll[Byte]](4)\n  val i10 = coll4.size\n  sigmaProp(\n    (\n      (\n        (\n          (((coll1.size > placeholder[Int](5)) && (coll2.size == placeholder[Int](6))) && (coll4.size == placeholder[Int](7))) && (\n            coll5.size == placeholder[Int](8)\n          )\n        ) && (coll6.size == placeholder[Int](9))\n      ) && \n        val box11 = coll1(placeholder[Int](10))\n        val box12 = coll6(placeholder[Int](11))\n        val coll13 = box12.R7[Coll[Long]].get\n        val l14 = box11.R4[Int].get.toLong\n        val l15 = coll13(placeholder[Int](12))\n        val l16 = HEIGHT.toLong\n        val coll17 = box12.R5[Coll[Long]].get\n        val l18 = coll17(placeholder[Int](13))\n        val bool19 = l18 == placeholder[Long](14)\n        val l20 = coll13(placeholder[Int](15))\n        val coll21 = box12.tokens\n        val coll22 = coll2(placeholder[Int](16)).R4[Coll[Long]].get\n        val l23 = INPUTS.fold(placeholder[Long](17), {(tuple23: (Long, Box)) => tuple23._2.tokens.fold(tuple23._1, {(tuple25: (Long, (Coll[Byte], Long))) =>\n                val tuple27 = tuple25._2\n                val l28 = tuple25._1\n                if (tuple27._1 == coll8) { l28 + tuple27._2 } else { l28 }\n              }) })\n        val box24 = coll5(placeholder[Int](18))\n        val coll25 = box24.tokens\n        val coll26 = SELF.R4[Coll[Long]].get\n        val l27 = coll26(placeholder[Int](19))\n        val coll28 = box24.R4[Coll[Long]].get\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      ((box11.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21)) && (coll13(placeholder[Int](22)) == l14)) && (\n                        (l15 >= l16 - placeholder[Long](23)) && (l15 <= l16)\n                      )\n                    ) && if (bool19) {(\n                      val l29 = byteArrayToLong(box11.R5[AvlTree].get.get(coll7, getVar[Coll[Byte]](1.toByte).get).get)\n                      val l30 = coll17(placeholder[Int](24))\n                      ((box12.R6[Coll[Byte]].get == coll7) && (l20 == l29)) && if (coll17(placeholder[Int](25)) > placeholder[Long](26)) {\n                        l30 >= l29 + l29 * placeholder[Long](27) / placeholder[Long](28)\n                      } else { l30 <= l29 - l29 * placeholder[Long](29) / placeholder[Long](30) }\n                    )} else { l20 == placeholder[Long](31) }\n                  ) && if (bool19 || (l18 == placeholder[Long](32))) { coll21.fold(placeholder[Long](33), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == placeholder[Coll[Byte]](34)) { l32 + tuple31._2 } else { l32 }\n                      }) >= coll22(placeholder[Int](35)) } else { placeholder[Boolean](36) }\n                ) && ((coll17(placeholder[Int](37)) >= coll22(placeholder[Int](38))) && (coll17(placeholder[Int](39)) >= coll22(placeholder[Int](40))))\n              ) && (((coll21.fold(placeholder[Long](41), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == placeholder[Long](42)) && (coll25.fold(placeholder[Long](43), {(tuple29: (Long, (Coll[Byte], Long))) =>\n                        val tuple31 = tuple29._2\n                        val l32 = tuple29._1\n                        if (tuple31._1 == coll8) { l32 + tuple31._2 } else { l32 }\n                      }) == l23 - placeholder[Long](44))) && (OUTPUTS.fold(placeholder[Long](45), {(tuple29: (Long, Box)) => tuple29._2.tokens.fold(tuple29._1, {(tuple31: (Long, (Coll[Byte], Long))) =>\n                          val tuple33 = tuple31._2\n                          val l34 = tuple31._1\n                          if (tuple33._1 == coll8) { l34 + tuple33._2 } else { l34 }\n                        }) }) == l23))\n            ) && if (l14 > l27) { (coll28(placeholder[Int](46)) == l14) && (coll28(placeholder[Int](47)) == placeholder[Long](48)) } else {\n              ((coll28(placeholder[Int](49)) == l27) && (coll28(placeholder[Int](50)) == coll26(placeholder[Int](51)) + placeholder[Long](52))) && (\n                coll28(placeholder[Int](53)) <= placeholder[Long](54)\n              )\n            }\n          ) && coll25.exists({(tuple29: (Coll[Byte], Long)) => (tuple29._1 == coll9) && (tuple29._2 == placeholder[Long](55)) })\n        ) && (box24.value >= SELF.value)\n      \n    ) || (\n      (((i10 >= placeholder[Int](56)) && (coll5.size == i10)) && (coll6.size == placeholder[Int](57))) && (\n        (\n          (\n            coll5.forall(\n              {(box11: Box) => box11.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == coll9) && (tuple13._2 == placeholder[Long](58)) }) }\n            ) && (coll5.fold(placeholder[Long](59), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }) == coll4.fold(placeholder[Long](60), {(tuple11: (Long, Box)) => tuple11._2.tokens.fold(tuple11._1, {(tuple13: (Long, (Coll[Byte], Long))) =>\n                      val tuple15 = tuple13._2\n                      val l16 = tuple13._1\n                      if (tuple15._1 == coll8) { l16 + tuple15._2 } else { l16 }\n                    }) }))\n          ) && (\n            coll5.fold(placeholder[Long](61), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll4.fold(\n              placeholder[Long](62), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }\n            )\n          )\n        ) && coll5.zip(coll4).forall({(tuple11: (Box, Box)) => tuple11._1.R4[Coll[Long]].get == tuple11._2.R4[Coll[Long]].get })\n      )\n    )\n  )\n}","address":"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","assets":[{"tokenId":"67b7ebf90d43d06fa8de1530a72ec51a3e56bd08cd7955957577602b9b2958b0","index":0,"amount":250000000,"name":"ePerps_ada_dust_STAMP_TOKEN","decimals":0,"type":"EIP-004"},{"tokenId":"3c253e2b7c8a883fe4de1eb7a0ed1aabd59fafe3672bfa1b5e907da559f083aa","index":1,"amount":1,"name":"ePerps_ada_dust_STAMPER_ID_TOKEN","decimals":0,"type":"EIP-004"}],"additionalRegisters":{"R4":{"serializedValue":"11020000","sigmaType":"Coll[SLong]","renderedValue":"[0,0]"}},"spentTransactionId":null,"mainChain":true}],"total":5}