Transaction
ID: 02c988ddf6...8a57
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00147456 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00347456 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 786,744
Total coins transferred: 0.00547456 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000192 ERG
Raw Transaction Data
{
"id": "02c988ddf6cdaf0d766a4e0ac1f6f18f61b9d6ba5aa9f97f05df1d2146f08a57",
"blockId": "2928c2b07a4afb2ad16f64bd7f6f7d3406887c5ac74dc5aab5f99cbd89b832ca",
"inclusionHeight": 983589,
"timestamp": 1681633600813,
"index": 12,
"globalIndex": 5056683,
"numConfirmations": 786744,
"inputs": [
{
"boxId": "42726c34c1e477275009997a6ad8623578dbc30057abaf0aa9aeee5976f50381",
"value": 1474560,
"index": 0,
"spendingProof": null,
"outputBlockId": "a7bd100baa90457535cae3b829187326235b325cbb3d2cebc8fbc972bbcb6d0e",
"outputTransactionId": "39d8863d441cced980147f8ecbe588624662d568cb47b4e14464fd7582ba12bd",
"outputIndex": 1,
"outputGlobalIndex": 28327612,
"outputCreatedAt": 983581,
"outputSettledAt": 983584,
"ergoTree": "10320404020105000400040405809bee02040004000e2018dc4c1da4a0a91c08c0b7b85ccd46e0b2ab91396b38c8216406959356805e3b040204000402040405020404040204020402040004000404040004040400040405d00f0e20302e93e8a379fb7bd750567947d0a396f2b138b51781e743457ee206e5b8ecc00502058080b40104020404040604060402040401010404040004040402040604020404040004020404040401000580897a058092a803d82ad601db6308a7d602b17201d6039172027300d604860283010273017302d605c6a70411d606e47205d607b27206730300d608ed7203938cb272017304017204027207d609c6a7080ed60ae67209d60bc1a7d60ceded7208720a92720b7305d60ddb6308b2a4730600d60e938cb2720d730700017308d60fb2720d730900d610b2a5730a00d611db63087210d612b27211730b00d613b27211730c00d614eded720eed939a8c720f02730d8c721202938c720f018c72120193b2720d730e007213d615c6a7060ed616e47215d617b2a5730f00d618db63087217d619c6a7051ad61ac6a7070ed61bb27206731000d61cb27201731100d61d917ea305721bd61ec672100411d61fc67210070ed620c67210051ad621b27201731200d622b27211731300d623c17210d624c2a7d625c27210d626c67210060ed627ef720ad62896830801937202b17211937221722293721c721293720b72239372247225937216e47226722797830301947205721e947219722094721a721fd629b1a5d62ab1721895ed720cef7214d806d62bb2a5731400d62cb2db6308722b731500d62db27201731600d62eb27218731700d62fe4c672170911d6309d9c7207b272067318007319d19683060196830301938c722c018c722d01938c722c028c722d0293c2722b721696830301938c722e01731a938c722e02731b93c17217731c9683050193c672170411720593c67217051a721993c67217060e721593c67217070e721a93c67217080e72099683030193b2722f731d009a7207723093b2722f731e00723093b2722f731f009a721bb27206732000720e93b27218732100721c95ed721def7208d196830301720e721d9572038f8cb272017322000272077323957214d801d62b93c2b2a4732400721695720cd19683040193c27217e47209722b93b27218732500b272017326007214d196830201722b7214957228d19683050196830401937205721e93721a721f937212721cefe6c67210080e93b17206b1e4721e93b1e47219b1e47220722893c2b2a473270072169596830201917229732891722a7329d195917229732a96830b01937202722a937221b27218732b0093721cb27218732c0093b27201732d017204b27218732e01720493720bc17217937224c27217937216e4c67217060e7227937205c672170411937219c67217051a93721ac67217070e732fd801d62bed7227720e95722bd196830301722b93c1721799720b733093c272177216d196830401e6c67210080e96830201938c721301e4721a938c72130272079683070193721e72059372207219937226721593721f721a93722572249372227221937212721c9272237331",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(24,-36,76,29,-92,-96,-87,28,8,-64,-73,-72,92,-51,70,-32,-78,-85,-111,57,107,56,-56,33,100,6,-107,-109,86,-128,94,59)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n27: 1\n28: 1474560\n29: 1\n30: 2\n31: 3\n32: 3\n33: 1\n34: 2\n35: true\n36: 2\n37: 0\n38: 2\n39: 1\n40: 3\n41: 1\n42: 2\n43: 0\n44: 1\n45: 2\n46: 2\n47: false\n48: 1000000\n49: 3474560",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27), box23.value == placeholder[Long](28))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](29)) == l7 + l48, coll47(placeholder[Int](30)) == l48, coll47(placeholder[Int](31)) == l27 + coll6(placeholder[Int](32))\n )\n ), bool14, coll24(placeholder[Int](33)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](34))._2 < l7 } else { placeholder[Boolean](35) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](36)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](39)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](40), i42 > placeholder[Int](41)))) { sigmaProp(if (i41 > placeholder[Int](42)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](43)), tuple28 == coll24(placeholder[Int](44)), coll1.getOrElse(placeholder[Int](45), tuple4) == coll24.getOrElse(placeholder[Int](46), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](47) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](48), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](49)))) }\n )} } } }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "a624c7e51ffae8f16fe024d8556faf47aac1c7fcaa7f584b95e9784e6426f630",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "05692a2965c6bab42ef7e440ce25108e7f5cad42ec97ea7fe4fc6d55b7119141",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105c801fe9778c801d00fae8878",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,984575,100,1000,983575]"
},
"R5": {
"serializedValue": "1a022245786c652054657374204c6f616e3a2043726f776446756e64204150492054657374245468697320697320612074657374206c6f616e20776974682045786c652053797374656d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[45786c652054657374204c6f616e3a2043726f776446756e64204150492054657374,5468697320697320612074657374206c6f616e20776974682045786c652053797374656d]"
},
"R6": {
"serializedValue": "0e240008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c"
},
"R7": {
"serializedValue": "0e206ba45eb59947c2b7a19ec6cff038080776e2303c328b321832d32924dfc297c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "6ba45eb59947c2b7a19ec6cff038080776e2303c328b321832d32924dfc297c2"
}
}
},
{
"boxId": "d62a3d0e96eeaa1200a9e194fa258b3b0a6d8e50c366cfa2dab644fca28347ba",
"value": 4000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "31ecbe7de607c5bb36fabd5102d2d8edf42b83e57806aeaec89456a15ea71c8d",
"outputTransactionId": "be06bfe54f17667a521084ed63017d7bdf021c6053b9e77c6a2f432f731c8bd6",
"outputIndex": 0,
"outputGlobalIndex": 28327662,
"outputCreatedAt": 983584,
"outputSettledAt": 983586,
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"ergoTreeConstants": "0: 0\n1: Coll(5,105,42,41,101,-58,-70,-76,46,-9,-28,64,-50,37,16,-114,127,92,-83,66,-20,-105,-22,127,-28,-4,109,85,-73,17,-111,65)\n2: 1\n3: 0\n4: 0\n5: 4000000\n6: 0\n7: 0\n8: Coll(82,-51,-84,78,-82,-22,-34,92,82,5,107,26,94,108,-53,93,92,4,-8,25,-120,-79,90,-6,39,-71,61,-45,-75,109,76,-7)\n9: 1\n10: 1\n11: 1\n12: 2\n13: 3\n14: 2\n15: 1\n16: 0\n17: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n18: 2\n19: 1\n20: 1\n21: false\n22: 1\n23: 0\n24: 1\n25: 2\n26: 1\n27: 0\n28: 1\n29: 0\n30: 0\n31: 1\n32: 1\n33: 1\n34: 1\n35: 2\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 1\n46: 1\n47: 1\n48: 2\n49: 2\n50: 2\n51: 1\n52: 2\n53: 1\n54: 2\n55: 2\n56: 0\n57: 2\n58: 1\n59: 1\n60: 1\n61: 1\n62: 1\n63: 1\n64: 0\n65: 1\n66: 0\n67: 1\n68: 1\n69: 0\n70: 1\n71: 1\n72: 1\n73: 0\n74: 0\n75: 1\n76: 1\n77: 1\n78: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.tokens\n val coll4 = placeholder[Coll[Byte]](1)\n val tuple5 = (Coll[Byte](placeholder[Byte](2)), placeholder[Long](3))\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.propositionBytes\n val coll8 = box6.tokens\n val coll9 = SELF.tokens\n val bool10 = SELF.value >= placeholder[Long](5)\n val box11 = INPUTS(placeholder[Int](6))\n val tuple12 = coll3(placeholder[Int](7))\n val bool13 = allOf(Coll[Boolean](box2.propositionBytes == coll7, tuple12._1 == placeholder[Coll[Byte]](8), tuple12._2 == placeholder[Long](9)))\n val tuple14 = coll9.getOrElse(placeholder[Int](10), tuple5)\n val tuple15 = coll8.getOrElse(placeholder[Int](11), tuple5)\n val l16 = tuple15._2\n if (if ((coll3.size == placeholder[Int](12)) && (coll1.size == placeholder[Int](13))) {(\n val coll17 = coll1(placeholder[Int](14)).tokens\n allOf(\n Coll[Boolean](\n coll17(placeholder[Int](15))._1 == box2.R4[Coll[Byte]].get, coll17(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17), box2.R6[\n Long\n ].get == placeholder[Long](18), coll3(placeholder[Int](19))._2 == placeholder[Long](20)\n )\n )\n )} else { placeholder[Boolean](21) }) {(\n val bool17 = box2.R4[Coll[Byte]].get == coll4\n val tuple18 = INPUTS(placeholder[Int](22)).tokens.getOrElse(placeholder[Int](23), tuple5)\n val coll19 = box2.R5[Coll[Byte]].get\n val coll20 = OUTPUTS(placeholder[Int](24)).tokens\n val opt21 = coll1(placeholder[Int](25)).R7[Coll[Byte]]\n val l22 = tuple18._2\n sigmaProp(allOf(Coll[Boolean](bool17, allOf(Coll[Boolean](bool17, tuple18._1 == coll19, if (coll20.size == placeholder[Int](26)) {(\n val tuple23 = coll20.getOrElse(placeholder[Int](27), tuple5)\n allOf(Coll[Boolean](tuple23._1 == opt21.get, tuple23._2 == l22))\n )} else {(\n val tuple23 = coll20.getOrElse(placeholder[Int](28), tuple5)\n val coll24 = tuple23._1\n allOf(Coll[Boolean](coll24 == opt21.get, tuple23._2 == l22 - coll20.getOrElse(placeholder[Int](29), tuple5)._2, coll24 == coll19))\n )})), box6.propositionBytes == coll7)))\n )} else {\n if (allOf(\n Coll[Boolean](\n (SELF.id == box11.id) && (coll7 == OUTPUTS(placeholder[Int](30)).propositionBytes), tuple14._2 < l16, l16 != placeholder[Long](\n 31\n ), tuple14._1 == tuple15._1\n )\n )) {(\n val coll17 = INPUTS.slice(placeholder[Int](32), INPUTS.size + placeholder[Int](33))\n val coll18 = box2.R5[Coll[Byte]].get\n val box19 = OUTPUTS(placeholder[Int](34))\n val coll20 = box19.tokens\n val coll21 = coll1(placeholder[Int](35)).R7[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.R6[Long].get == placeholder[Long](36), allOf(\n Coll[Boolean](\n coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll18 }) }).fold(\n placeholder[Long](37), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](38), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](39), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll21 }) }).fold(\n placeholder[Long](40), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ), coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](41), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll9.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](42), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll9.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](43), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](44), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n )\n )\n ), coll17.forall({(box22: Box) => box22.propositionBytes == box19.propositionBytes }), bool10\n )\n )\n )\n )} else {(\n val opt17 = box2.R4[Coll[Byte]]\n val opt18 = box2.R5[Coll[Byte]]\n if (box2.R6[Long].get == placeholder[Long](45)) {(\n val box19 = OUTPUTS(placeholder[Int](46))\n val coll20 = opt18.get\n val coll21 = box19.tokens\n val tuple22 = coll21(placeholder[Int](47))\n val tuple23 = coll8(placeholder[Int](48))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box19.propositionBytes == coll7, allOf(\n Coll[Boolean](opt17.get == box19.R4[Coll[Byte]].get, coll20 == box19.R5[Coll[Byte]].get, box19.R6[Long].get == placeholder[Long](49))\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](coll21.size == placeholder[Int](50), tuple22._1 == coll20, tuple22._2 == placeholder[Long](51))), allOf(\n Coll[Boolean](tuple23._1 == box11.R7[Coll[Byte]].get, tuple23._2 == coll9(placeholder[Int](52))._2)\n )\n )\n ), box11.tokens(placeholder[Int](53))._1 == coll4, bool13, bool10\n )\n )\n )\n )} else {(\n val tuple19 = coll8(placeholder[Int](54))\n val l20 = tuple19._2\n val box21 = coll1(placeholder[Int](55))\n val l22 = box21.R4[Coll[Long]].get(placeholder[Int](56))\n val bool23 = l20 == l22\n val coll24 = box21.R7[Coll[Byte]].get\n val bool25 = tuple19._1 == coll24\n val l26 = l20 - coll9.getOrElse(placeholder[Int](57), tuple5)._2\n val coll27 = opt18.get\n val coll28 = opt17.get\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](if (bool23) {(\n val tuple29 = coll8(placeholder[Int](58))\n allOf(Coll[Boolean](tuple29._2 == placeholder[Long](59), tuple29._1 == coll9(placeholder[Int](60))._1, bool25))\n )} else {(\n val tuple29 = coll9(placeholder[Int](61))\n val tuple30 = coll8(placeholder[Int](62))\n allOf(Coll[Boolean](tuple29._2 - tuple30._2 == l26, tuple30._1 == tuple29._1, bool25))\n )}, OUTPUTS(placeholder[Int](63)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](64), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) - INPUTS(placeholder[Int](65)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](66), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) == l26)), allOf(Coll[Boolean](bool25, box21.tokens(placeholder[Int](67))._1 == coll28)), allOf(Coll[Boolean](coll28 == box6.R4[Coll[Byte]].get, coll27 == box6.R5[Coll[Byte]].get)), if (bool23) { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](68), coll8(placeholder[Int](69))._2 == placeholder[Long](70), coll8(placeholder[Int](71))._2 == placeholder[Long](72), bool23)) } else { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](73), coll8(placeholder[Int](74))._2 == placeholder[Long](75), coll8(placeholder[Int](76))._2 != placeholder[Long](77))) }, box6.propositionBytes == coll7, bool13, bool10, coll8.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll24 }).fold(placeholder[Long](78), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) <= l22)))\n )}\n )}\n }\n}",
"address": "DhxC8Jc3PbbmDJjBsbZbYZm8FsSX9N129P8ws7tcQ74J5Lx4x5m13WNU7LpVjXDqe6ZGJ4DweM16QFBP4QCpky4Zt6CZe3cwZ3U8KNRaW6LPrwycXrnhfbf8BuxgkY1bwyFgsn27wTCvk1DU4indr8ufFVoGD1MG5nc9M5N3FdJpJrKb1ENYriWL8mj4ExZhw9QFDsqaLoQhfK7ytGhgqVHsUGYZk166eZT6tKdRPRokqcuUMDoZN2wYka4AwLV2WbJuScbMvGFZMq8ozeX89gD9dSCBUBtm92wXi6d1aFez7cjHweez1HKw2bYjUifHiD3W917MiQHXJsVuQAwN9tdDtpKE212sGB9BH2rhJaEL83aqda39aXn73jWsBYRHsMzNtNEWUij3HHVW2kHgLEWEEgoMCuSTdKjPygDufkCPXUqLkzeUDPc7QRikDEqKndmTJo8pvTZenhgW2mfYiLLmyUReCHuv2kmp6V6dxBst1UeUaGCPYebtHqxsHiLcsEB2g2XjzEHQeuoCgEwVEMTtVskS8DoXdyKG2BaFNZLpSM9iksJR9SEp1Sv6DjxqtpUjzPxoryxGB6bXMohqEUX6RmHC4RaV2h1JCxT7jQUKvbgYgJyCJwSVzMNCyEykLQrtfhyJtcsVghwNep13AFhDt8nccj9TtCdpBY7ftwxGFb91P9i5eiNmAfRu1vgpK3WGBcrQBqTRQ1SLVmF7SE6L4zb3YXmzABxLjYBJBKbJvk2WzVfQEdvasuB9qLjxCcMRPzHqWKWL22fLt8dKr3sEGnVqtpPUCuA7AcASgAwe67jbSR877c7hugSwTyRtdkGGr4zkEtZy3HSK4oY5y5amKjhFzgGvbzDtjHNMuaNk7abT9w6DeMyMWvoXQCf4zzhYx5XxnCwYV7wuMKyeK6iH9BAGPT8ZKTi865FxSA3vyPYcwcpxWXSiyXqd9jHwg29e8QKBwWhEzxXvBtF8tyeAFQ8czh7tH8trffQLckm7XAnDN6LfXkq4oJXMPmPbNncnwsQN1mjnkPYRMqnWxwkARQFkzCtWH4863YtSPiegxdVK33essEH4czDxLcA3gDVZfT33DCgHtnAFKgYZ5fuRxHchYJpk5Kjt5qXpsMJ2JwJdNErCK63wiAgrRVhWn1fDVg7kTq1H557BXz5ceg518udF6rVy1gcsgSGiVBkfMc5Ydi7sSZMXfp4RvyxH7tvYaXJHnHhBvguYiGSHNnrTsPRdtinFKQnKCmK9Sqjyk2ZUD9oM54cKGt9aug7VAYf9NEA5UZG99GGtHBvoMD5QLDJcicoCm79SdP7Fb7ZA1DQKj9zY2hCYmVfHALvfR7RXxcSZhwH1hFHnaFPfJgrSNj6zempAYWBZWjS6qFmAxEXzADo7uArraNZLerERRH4g8hC7NrMYTahdkA1aVXx5dBCxPiBeZXmkFvsugtseGXYPUxrJcapL5ijyvkMd59NwwfvShGt5rRX2aWJcAsSX7o6A2AonyEG8HZqzWsVSCeM675yJRLFMcSGFcbnFwW2i7ghh6Y11EtYjuPKCqcNe46BUrW4k5vGK21BQoam5aWnQ4fAhpcm1Ez9VtoFE1GYd1gD54USmRZCrYMwC8D7dXxieZGnFQqUi6acwXnp7gxvMTyby7hnNPdBkUVFEf4zawqnoMqiRddoTHmi4rW8c3KYBWrMBBazbXzZzDYB7y76spxK2ob5gVkP5gF6cUURXHveJiFZSHfqFSsZZ4T1WHSYFnvuofbgoWFahqZBVz27bAQdCANHo8BTtHtu57C3pDSGHqQLfvDkEu3doQyZgVwz7nrqGDYPa7zmkF8Rx22Mar3hV4ZbC7pLUX7ZWi5fmDLK6596eAkWCoGhJUXRYBTvWPttmNiNW5TkKnorAGNrFz7S87ZnwYsjAJK33Ti6y64BzGqsJYYNeWVn4SF6TjPYD83nkSaNbhuf4VEaugbYdqCXB1eZGDb5nbm52HJNCT6rD7336zDNhtWytwAfroGbWk7EJXSNwxDXyhdWyYjtTretjGGkAGzh8nFnC3x3oVJ67R1woz13zAJy7FdMeFSEpm4LfAbFSNDdUybiK7WCgoMfqrGixKz1c2pNv7F2VuWUdkmsbg7BL8sCaeGt4CR8kC6KrsEtFjnjiCFzmW5iyhwwnHo7UWh85VBuEGa1hX596UwWe5c3c3Vrk854SGLaeGYhUneYJDj8KpCDfmcszHHbgbjo3L2wQaWiPXxcmeuw1oyHefdgP7VvcArUukdkKvT4fMHWDb9Yr1Hw24Z5Jvb1S6hHr1kVgQkuicgabzgCJw56z2UHtSKJLU",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Exle: SLT CrowdFund Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
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{
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"index": 2,
"amount": 100,
"name": "Exle: TestSigUSD",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2005692a2965c6bab42ef7e440ce25108e7f5cad42ec97ea7fe4fc6d55b7119141",
"sigmaType": "Coll[SByte]",
"renderedValue": "05692a2965c6bab42ef7e440ce25108e7f5cad42ec97ea7fe4fc6d55b7119141"
},
"R5": {
"serializedValue": "0e2048688bbd6bed0b8f27bfd795c7f5cebc42e7b07d1c201f65909dc95c9fbe73cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "48688bbd6bed0b8f27bfd795c7f5cebc42e7b07d1c201f65909dc95c9fbe73cf"
},
"R6": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
}
}
}
],
"dataInputs": [
{
"boxId": "d62a3d0e96eeaa1200a9e194fa258b3b0a6d8e50c366cfa2dab644fca28347ba",
"value": 4000000,
"index": 0,
"outputBlockId": "31ecbe7de607c5bb36fabd5102d2d8edf42b83e57806aeaec89456a15ea71c8d",
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{
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"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(24,-36,76,29,-92,-96,-87,28,8,-64,-73,-72,92,-51,70,-32,-78,-85,-111,57,107,56,-56,33,100,6,-107,-109,86,-128,94,59)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n27: 1\n28: 1474560\n29: 1\n30: 2\n31: 3\n32: 3\n33: 1\n34: 2\n35: true\n36: 2\n37: 0\n38: 2\n39: 1\n40: 3\n41: 1\n42: 2\n43: 0\n44: 1\n45: 2\n46: 2\n47: false\n48: 1000000\n49: 3474560",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27), box23.value == placeholder[Long](28))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](29)) == l7 + l48, coll47(placeholder[Int](30)) == l48, coll47(placeholder[Int](31)) == l27 + coll6(placeholder[Int](32))\n )\n ), bool14, coll24(placeholder[Int](33)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](34))._2 < l7 } else { placeholder[Boolean](35) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](36)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](39)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](40), i42 > placeholder[Int](41)))) { sigmaProp(if (i41 > placeholder[Int](42)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](43)), tuple28 == coll24(placeholder[Int](44)), coll1.getOrElse(placeholder[Int](45), tuple4) == coll24.getOrElse(placeholder[Int](46), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](47) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](48), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](49)))) }\n )} } } }\n }\n}",
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},
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"mainChain": true
},
{
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"transactionId": "02c988ddf6cdaf0d766a4e0ac1f6f18f61b9d6ba5aa9f97f05df1d2146f08a57",
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"value": 1000000,
"index": 1,
"globalIndex": 28327726,
"creationHeight": 983586,
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"ergoTreeConstants": "0: 0\n1: Coll(5,105,42,41,101,-58,-70,-76,46,-9,-28,64,-50,37,16,-114,127,92,-83,66,-20,-105,-22,127,-28,-4,109,85,-73,17,-111,65)\n2: 1\n3: 0\n4: 0\n5: 4000000\n6: 0\n7: 0\n8: Coll(82,-51,-84,78,-82,-22,-34,92,82,5,107,26,94,108,-53,93,92,4,-8,25,-120,-79,90,-6,39,-71,61,-45,-75,109,76,-7)\n9: 1\n10: 1\n11: 1\n12: 2\n13: 3\n14: 2\n15: 1\n16: 0\n17: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n18: 2\n19: 1\n20: 1\n21: false\n22: 1\n23: 0\n24: 1\n25: 2\n26: 1\n27: 0\n28: 1\n29: 0\n30: 0\n31: 1\n32: 1\n33: 1\n34: 1\n35: 2\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 1\n46: 1\n47: 1\n48: 2\n49: 2\n50: 2\n51: 1\n52: 2\n53: 1\n54: 2\n55: 2\n56: 0\n57: 2\n58: 1\n59: 1\n60: 1\n61: 1\n62: 1\n63: 1\n64: 0\n65: 1\n66: 0\n67: 1\n68: 1\n69: 0\n70: 1\n71: 1\n72: 1\n73: 0\n74: 0\n75: 1\n76: 1\n77: 1\n78: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.tokens\n val coll4 = placeholder[Coll[Byte]](1)\n val tuple5 = (Coll[Byte](placeholder[Byte](2)), placeholder[Long](3))\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.propositionBytes\n val coll8 = box6.tokens\n val coll9 = SELF.tokens\n val bool10 = SELF.value >= placeholder[Long](5)\n val box11 = INPUTS(placeholder[Int](6))\n val tuple12 = coll3(placeholder[Int](7))\n val bool13 = allOf(Coll[Boolean](box2.propositionBytes == coll7, tuple12._1 == placeholder[Coll[Byte]](8), tuple12._2 == placeholder[Long](9)))\n val tuple14 = coll9.getOrElse(placeholder[Int](10), tuple5)\n val tuple15 = coll8.getOrElse(placeholder[Int](11), tuple5)\n val l16 = tuple15._2\n if (if ((coll3.size == placeholder[Int](12)) && (coll1.size == placeholder[Int](13))) {(\n val coll17 = coll1(placeholder[Int](14)).tokens\n allOf(\n Coll[Boolean](\n coll17(placeholder[Int](15))._1 == box2.R4[Coll[Byte]].get, coll17(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17), box2.R6[\n Long\n ].get == placeholder[Long](18), coll3(placeholder[Int](19))._2 == placeholder[Long](20)\n )\n )\n )} else { placeholder[Boolean](21) }) {(\n val bool17 = box2.R4[Coll[Byte]].get == coll4\n val tuple18 = INPUTS(placeholder[Int](22)).tokens.getOrElse(placeholder[Int](23), tuple5)\n val coll19 = box2.R5[Coll[Byte]].get\n val coll20 = OUTPUTS(placeholder[Int](24)).tokens\n val opt21 = coll1(placeholder[Int](25)).R7[Coll[Byte]]\n val l22 = tuple18._2\n sigmaProp(allOf(Coll[Boolean](bool17, allOf(Coll[Boolean](bool17, tuple18._1 == coll19, if (coll20.size == placeholder[Int](26)) {(\n val tuple23 = coll20.getOrElse(placeholder[Int](27), tuple5)\n allOf(Coll[Boolean](tuple23._1 == opt21.get, tuple23._2 == l22))\n )} else {(\n val tuple23 = coll20.getOrElse(placeholder[Int](28), tuple5)\n val coll24 = tuple23._1\n allOf(Coll[Boolean](coll24 == opt21.get, tuple23._2 == l22 - coll20.getOrElse(placeholder[Int](29), tuple5)._2, coll24 == coll19))\n )})), box6.propositionBytes == coll7)))\n )} else {\n if (allOf(\n Coll[Boolean](\n (SELF.id == box11.id) && (coll7 == OUTPUTS(placeholder[Int](30)).propositionBytes), tuple14._2 < l16, l16 != placeholder[Long](\n 31\n ), tuple14._1 == tuple15._1\n )\n )) {(\n val coll17 = INPUTS.slice(placeholder[Int](32), INPUTS.size + placeholder[Int](33))\n val coll18 = box2.R5[Coll[Byte]].get\n val box19 = OUTPUTS(placeholder[Int](34))\n val coll20 = box19.tokens\n val coll21 = coll1(placeholder[Int](35)).R7[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.R6[Long].get == placeholder[Long](36), allOf(\n Coll[Boolean](\n coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll18 }) }).fold(\n placeholder[Long](37), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](38), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](39), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll21 }) }).fold(\n placeholder[Long](40), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ), coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](41), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll9.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](42), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll9.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](43), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](44), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n )\n )\n ), coll17.forall({(box22: Box) => box22.propositionBytes == box19.propositionBytes }), bool10\n )\n )\n )\n )} else {(\n val opt17 = box2.R4[Coll[Byte]]\n val opt18 = box2.R5[Coll[Byte]]\n if (box2.R6[Long].get == placeholder[Long](45)) {(\n val box19 = OUTPUTS(placeholder[Int](46))\n val coll20 = opt18.get\n val coll21 = box19.tokens\n val tuple22 = coll21(placeholder[Int](47))\n val tuple23 = coll8(placeholder[Int](48))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box19.propositionBytes == coll7, allOf(\n Coll[Boolean](opt17.get == box19.R4[Coll[Byte]].get, coll20 == box19.R5[Coll[Byte]].get, box19.R6[Long].get == placeholder[Long](49))\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](coll21.size == placeholder[Int](50), tuple22._1 == coll20, tuple22._2 == placeholder[Long](51))), allOf(\n Coll[Boolean](tuple23._1 == box11.R7[Coll[Byte]].get, tuple23._2 == coll9(placeholder[Int](52))._2)\n )\n )\n ), box11.tokens(placeholder[Int](53))._1 == coll4, bool13, bool10\n )\n )\n )\n )} else {(\n val tuple19 = coll8(placeholder[Int](54))\n val l20 = tuple19._2\n val box21 = coll1(placeholder[Int](55))\n val l22 = box21.R4[Coll[Long]].get(placeholder[Int](56))\n val bool23 = l20 == l22\n val coll24 = box21.R7[Coll[Byte]].get\n val bool25 = tuple19._1 == coll24\n val l26 = l20 - coll9.getOrElse(placeholder[Int](57), tuple5)._2\n val coll27 = opt18.get\n val coll28 = opt17.get\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](if (bool23) {(\n val tuple29 = coll8(placeholder[Int](58))\n allOf(Coll[Boolean](tuple29._2 == placeholder[Long](59), tuple29._1 == coll9(placeholder[Int](60))._1, bool25))\n )} else {(\n val tuple29 = coll9(placeholder[Int](61))\n val tuple30 = coll8(placeholder[Int](62))\n allOf(Coll[Boolean](tuple29._2 - tuple30._2 == l26, tuple30._1 == tuple29._1, bool25))\n )}, OUTPUTS(placeholder[Int](63)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](64), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) - INPUTS(placeholder[Int](65)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](66), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) == l26)), allOf(Coll[Boolean](bool25, box21.tokens(placeholder[Int](67))._1 == coll28)), allOf(Coll[Boolean](coll28 == box6.R4[Coll[Byte]].get, coll27 == box6.R5[Coll[Byte]].get)), if (bool23) { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](68), coll8(placeholder[Int](69))._2 == placeholder[Long](70), coll8(placeholder[Int](71))._2 == placeholder[Long](72), bool23)) } else { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](73), coll8(placeholder[Int](74))._2 == placeholder[Long](75), coll8(placeholder[Int](76))._2 != placeholder[Long](77))) }, box6.propositionBytes == coll7, bool13, bool10, coll8.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll24 }).fold(placeholder[Long](78), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) <= l22)))\n )}\n )}\n }\n}",
"address": "DhxC8Jc3PbbmDJjBsbZbYZm8FsSX9N129P8ws7tcQ74J5Lx4x5m13WNU7LpVjXDqe6ZGJ4DweM16QFBP4QCpky4Zt6CZe3cwZ3U8KNRaW6LPrwycXrnhfbf8BuxgkY1bwyFgsn27wTCvk1DU4indr8ufFVoGD1MG5nc9M5N3FdJpJrKb1ENYriWL8mj4ExZhw9QFDsqaLoQhfK7ytGhgqVHsUGYZk166eZT6tKdRPRokqcuUMDoZN2wYka4AwLV2WbJuScbMvGFZMq8ozeX89gD9dSCBUBtm92wXi6d1aFez7cjHweez1HKw2bYjUifHiD3W917MiQHXJsVuQAwN9tdDtpKE212sGB9BH2rhJaEL83aqda39aXn73jWsBYRHsMzNtNEWUij3HHVW2kHgLEWEEgoMCuSTdKjPygDufkCPXUqLkzeUDPc7QRikDEqKndmTJo8pvTZenhgW2mfYiLLmyUReCHuv2kmp6V6dxBst1UeUaGCPYebtHqxsHiLcsEB2g2XjzEHQeuoCgEwVEMTtVskS8DoXdyKG2BaFNZLpSM9iksJR9SEp1Sv6DjxqtpUjzPxoryxGB6bXMohqEUX6RmHC4RaV2h1JCxT7jQUKvbgYgJyCJwSVzMNCyEykLQrtfhyJtcsVghwNep13AFhDt8nccj9TtCdpBY7ftwxGFb91P9i5eiNmAfRu1vgpK3WGBcrQBqTRQ1SLVmF7SE6L4zb3YXmzABxLjYBJBKbJvk2WzVfQEdvasuB9qLjxCcMRPzHqWKWL22fLt8dKr3sEGnVqtpPUCuA7AcASgAwe67jbSR877c7hugSwTyRtdkGGr4zkEtZy3HSK4oY5y5amKjhFzgGvbzDtjHNMuaNk7abT9w6DeMyMWvoXQCf4zzhYx5XxnCwYV7wuMKyeK6iH9BAGPT8ZKTi865FxSA3vyPYcwcpxWXSiyXqd9jHwg29e8QKBwWhEzxXvBtF8tyeAFQ8czh7tH8trffQLckm7XAnDN6LfXkq4oJXMPmPbNncnwsQN1mjnkPYRMqnWxwkARQFkzCtWH4863YtSPiegxdVK33essEH4czDxLcA3gDVZfT33DCgHtnAFKgYZ5fuRxHchYJpk5Kjt5qXpsMJ2JwJdNErCK63wiAgrRVhWn1fDVg7kTq1H557BXz5ceg518udF6rVy1gcsgSGiVBkfMc5Ydi7sSZMXfp4RvyxH7tvYaXJHnHhBvguYiGSHNnrTsPRdtinFKQnKCmK9Sqjyk2ZUD9oM54cKGt9aug7VAYf9NEA5UZG99GGtHBvoMD5QLDJcicoCm79SdP7Fb7ZA1DQKj9zY2hCYmVfHALvfR7RXxcSZhwH1hFHnaFPfJgrSNj6zempAYWBZWjS6qFmAxEXzADo7uArraNZLerERRH4g8hC7NrMYTahdkA1aVXx5dBCxPiBeZXmkFvsugtseGXYPUxrJcapL5ijyvkMd59NwwfvShGt5rRX2aWJcAsSX7o6A2AonyEG8HZqzWsVSCeM675yJRLFMcSGFcbnFwW2i7ghh6Y11EtYjuPKCqcNe46BUrW4k5vGK21BQoam5aWnQ4fAhpcm1Ez9VtoFE1GYd1gD54USmRZCrYMwC8D7dXxieZGnFQqUi6acwXnp7gxvMTyby7hnNPdBkUVFEf4zawqnoMqiRddoTHmi4rW8c3KYBWrMBBazbXzZzDYB7y76spxK2ob5gVkP5gF6cUURXHveJiFZSHfqFSsZZ4T1WHSYFnvuofbgoWFahqZBVz27bAQdCANHo8BTtHtu57C3pDSGHqQLfvDkEu3doQyZgVwz7nrqGDYPa7zmkF8Rx22Mar3hV4ZbC7pLUX7ZWi5fmDLK6596eAkWCoGhJUXRYBTvWPttmNiNW5TkKnorAGNrFz7S87ZnwYsjAJK33Ti6y64BzGqsJYYNeWVn4SF6TjPYD83nkSaNbhuf4VEaugbYdqCXB1eZGDb5nbm52HJNCT6rD7336zDNhtWytwAfroGbWk7EJXSNwxDXyhdWyYjtTretjGGkAGzh8nFnC3x3oVJ67R1woz13zAJy7FdMeFSEpm4LfAbFSNDdUybiK7WCgoMfqrGixKz1c2pNv7F2VuWUdkmsbg7BL8sCaeGt4CR8kC6KrsEtFjnjiCFzmW5iyhwwnHo7UWh85VBuEGa1hX596UwWe5c3c3Vrk854SGLaeGYhUneYJDj8KpCDfmcszHHbgbjo3L2wQaWiPXxcmeuw1oyHefdgP7VvcArUukdkKvT4fMHWDb9Yr1Hw24Z5Jvb1S6hHr1kVgQkuicgabzgCJw56z2UHtSKJLU",
"assets": [
{
"tokenId": "52cdac4eaeeade5c52056b1a5e6ccb5d5c04f81988b15afa27b93dd3b56d4cf9",
"index": 0,
"amount": 1,
"name": "Exle: SLT CrowdFund Token V1.3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "48688bbd6bed0b8f27bfd795c7f5cebc42e7b07d1c201f65909dc95c9fbe73cf",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2005692a2965c6bab42ef7e440ce25108e7f5cad42ec97ea7fe4fc6d55b7119141",
"sigmaType": "Coll[SByte]",
"renderedValue": "05692a2965c6bab42ef7e440ce25108e7f5cad42ec97ea7fe4fc6d55b7119141"
},
"R5": {
"serializedValue": "0e2048688bbd6bed0b8f27bfd795c7f5cebc42e7b07d1c201f65909dc95c9fbe73cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "48688bbd6bed0b8f27bfd795c7f5cebc42e7b07d1c201f65909dc95c9fbe73cf"
},
"R6": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f42cb7bf69de99121be55c8fdc36fdc8c1e29fffd64c294e88d067a97734f798",
"transactionId": "02c988ddf6cdaf0d766a4e0ac1f6f18f61b9d6ba5aa9f97f05df1d2146f08a57",
"blockId": "2928c2b07a4afb2ad16f64bd7f6f7d3406887c5ac74dc5aab5f99cbd89b832ca",
"value": 1000000,
"index": 2,
"globalIndex": 28327727,
"creationHeight": 983586,
"settlementHeight": 983589,
"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": "b1e7c5fb589d9997886773275753131c6e154e5739b282d5014cb6b85b89db46",
"mainChain": true
}
],
"size": 5221,
"isUnconfirmed": false
}