Transaction
ID: 2c2494ad2f...9841
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001845 ERG
Tokens:
1,000,000.02
950
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.29128148 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001845 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.29018148 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 102,314
Total coins transferred: 0.29412648 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000258 ERG
Raw Transaction Data
{
"id": "2c2494ad2f09ff29ce68f5bff264ff1867a6fdbcbbf78039c6ca6097d4ae9841",
"blockId": "e52cbbb77f772d120abbeebc85f4a2162bae51747a6197dd84fba1ad0dd079e3",
"inclusionHeight": 1658043,
"timestamp": 1763365786112,
"index": 19,
"globalIndex": 9811998,
"numConfirmations": 102314,
"inputs": [
{
"boxId": "4f3685587e2c030cdc48f6873077527e8a822cc170c682a22693107085665c75",
"value": 1845000,
"index": 0,
"spendingProof": null,
"outputBlockId": "18ea7d5c3f30da2fc122e6c5a5f42224640e1ced44ab06f724fef3d1e6e54126",
"outputTransactionId": "cd848f1b85421d836bf52322869944ac702d172fe4ea5e11f1474f929695e393",
"outputIndex": 0,
"outputGlobalIndex": 51627035,
"outputCreatedAt": 1658038,
"outputSettledAt": 1658040,
"ergoTree": "19aa0e67044004000e2050f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18040004000400040004000402040404020404040604020400040204040400040404000400040005000400040005000400040005000400040204040e2074b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a0400040005000400040004000e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b70e2016c665a75c802f1a776032019c38d6cfbb75054e3f34456acca9936af9e9f87604000400050004000400040005c80104000101040004000400050005000400040005000101040004060e030008cd01000406044801000402040401010402040404020404040604000400040005000100040004000402050001000400040004000400040004000500040004000500010005000500010004000400040405000100d825d6019373007301d602db6308a7d6037302d604c2a7d605ed91b1a5730393c2b2a57304007204d606b27202730500d607e4c6a70404d608e4c6a70505d609e4c6a70705d60aed7205d802d60ab2a5730600d60bdb6308720aededededededed938c7206018cb2720b73070001937207e4c6720a0404937208e4c6720a0505937209e4c6720a070593e4c6a7080ee4c6720a080e93e4c6a7090ee4c6720a090e937204c2720a957201d801d60cb1720bec93720c730893720c7309d801d60cb1720becec93720c730a93720c730b93720c730cd60bef7205d60ce4c6a70611d60db2720c730d00d60eec720b93720db2e4c6b2a5730e000611730f00d60fb2720c731000d610ec720b93720fb2e4c6b2a57311000611731200d611ec720bd802d611b57202d901114d0e938c7211017203d612b5db6308b2a5731300d901124d0e938c7212017203939591b1721173148cb272117315000273169591b1721273178cb27212731800027319d6128c720602d613d9011363d802d615b5db63087213d901154d0e938c7215017203d616e4c6721306119a9a999591b17215731a8cb27215731b0002731cb27216731d00b27216731e00b27216731f00d6147320d615d9011563957201c17215d801d617b5db63087215d901174d0e938c72170172149591b1721773218cb27217732200027323d616b2720c732400d617ec720b937216b2e4c6b2a57325000611732600d6187327d619b5a5d901196393c272197218d61ab5a5d9011a6393cbc2721a7328d61bc1a7d61c95720195720599721bc1b2a5732900721b99da721501a7957205da721501b2a5732a00732bd61dec720b9372128cb2db6308b2a5732c00732d0002d61e9d9c721c7e732e05732fd61f99721c721ed6209272167208d621ec720bd801d621b2a5733000ed93721bc17221957201733193da721501a7da7215017221d622b57202d901224d0e938c7222017203d62399957205d801d623b5db6308b2a5733200d901234d0e938c72230172039591b1722373338cb2722373340002733573369591b1722273378cb27222733800027339d624f07223d625eb02d1aea4d901256393c2722572189595733a93b47218733b733c733d733ecdeeb47218733f7340d17341ea02d1ed95eced720193b172027342edef720193b1720273437344ae7202d901264d0e938c7226017203957201d801d626b17202ec93722673459372267346d801d626b17202ecec937226734793722673489372267349eb02eb02eb02eb02eb0295720ad803d626b2a5734a00d6279972128cb2db63087226734b0002d62899b2e4c672260611734c007216d19683040196830401720a720e72107211907227da721301a79399da7215017226da721501a79c72277209968302019372277228917228734dd1734e95720ad803d626b2a5734f00d627998cb2db63087226735000027212d62899b2e4c672260611735100720dd19683040196830401720a721772107211ed91a372078f7216720896830201937227722891722873529399da721501a7da72150172269c72277209d1735395ed91b17219735491b1721a7355d802d626b2721a735600d627b27219735700d19683040196830601ec720aed95720193721c721b93721cda721501a7efae7202d901284d0e938c72280172037217720e7210721d7211722095720193c17226721ed801d628b5db63087226d901284d0e938c7228017214939591b1722873588cb2722873590002735a721e95720193c17227721fd801d628b5db63087227d901284d0e938c7228017214939591b17228735b8cb27228735c0002735d721fd1735eea02d19683030196830601ec720aefaea5d901266393c2722672047217720e72107221721d8f7223735f907224da721301a77225957205ea02d19683020196830601720a7217720e72107221721d91722373607225d17361957205d802d626b2a5736200d627998cb2db63087226736300027212d19683040196830401720a7217720e7221722093722799b2e4c672260611736400720f9683020193722772249172277365d17366",
"ergoTreeConstants": "0: 32\n1: 0\n2: Coll(80,-9,39,109,98,42,-62,40,115,-80,-58,-33,-18,22,20,96,-124,-24,-108,-62,-85,42,-91,99,30,47,96,-17,-71,-107,127,24)\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 0\n15: 1\n16: 2\n17: 0\n18: 2\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 2\n32: Coll(116,-75,35,-42,3,97,-24,44,66,18,-126,-125,-107,122,-20,126,1,-2,95,-26,-30,-101,101,70,100,93,63,126,22,-77,-71,42)\n33: 0\n34: 0\n35: 0\n36: 0\n37: 0\n38: 0\n39: Coll(0,8,-51,2,-111,12,-59,42,-88,-98,57,45,39,21,-4,85,106,-22,84,-43,-44,-40,28,-52,-87,55,-95,20,-127,119,29,55,57,92,57,-73)\n40: Coll(22,-58,101,-89,92,-128,47,26,119,96,50,1,-100,56,-42,-49,-69,117,5,78,63,52,69,106,-52,-87,-109,106,-7,-23,-8,118)\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 100\n48: 0\n49: true\n50: 0\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: true\n59: 0\n60: 3\n61: Coll(0,8,-51)\n62: false\n63: 3\n64: 36\n65: false\n66: 1\n67: 2\n68: true\n69: 1\n70: 2\n71: 1\n72: 2\n73: 3\n74: 0\n75: 0\n76: 0\n77: 0\n78: false\n79: 0\n80: 0\n81: 1\n82: 0\n83: false\n84: 0\n85: 0\n86: 0\n87: 0\n88: 0\n89: 0\n90: 0\n91: 0\n92: 0\n93: 0\n94: false\n95: 0\n96: 0\n97: false\n98: 0\n99: 0\n100: 2\n101: 0\n102: false",
"ergoTreeScript": "{\n val bool1 = placeholder[Int](0) == placeholder[Int](1)\n val coll2 = SELF.tokens\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.propositionBytes\n val bool5 = (OUTPUTS.size > placeholder[Int](3)) && (OUTPUTS(placeholder[Int](4)).propositionBytes == coll4)\n val tuple6 = coll2(placeholder[Int](5))\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = bool5 && \n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n (\n (\n (\n ((((tuple6._1 == coll11(placeholder[Int](7))._1) && (i7 == box10.R4[Int].get)) && (l8 == box10.R5[Long].get)) && (l9 == box10.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box10.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box10.R9[Coll[Byte]].get)\n ) && (coll4 == box10.propositionBytes)\n ) && if (bool1) {(\n val i12 = coll11.size\n (i12 == placeholder[Int](8)) || (i12 == placeholder[Int](9))\n )} else {(\n val i12 = coll11.size\n ((i12 == placeholder[Int](10)) || (i12 == placeholder[Int](11))) || (i12 == placeholder[Int](12))\n )}\n \n val bool11 = !bool5\n val coll12 = SELF.R6[Coll[Long]].get\n val l13 = coll12(placeholder[Int](13))\n val bool14 = bool11 || (l13 == OUTPUTS(placeholder[Int](14)).R6[Coll[Long]].get(placeholder[Int](15)))\n val l15 = coll12(placeholder[Int](16))\n val bool16 = bool11 || (l15 == OUTPUTS(placeholder[Int](17)).R6[Coll[Long]].get(placeholder[Int](18)))\n val bool17 = bool11 || \n val coll17 = coll2.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll3 })\n val coll18 = OUTPUTS(placeholder[Int](19)).tokens.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll3 })\n if (coll17.size > placeholder[Int](20)) { coll17(placeholder[Int](21))._2 } else { placeholder[Long](22) } == if (coll18.size > placeholder[Int](23)) {\n coll18(placeholder[Int](24))._2\n } else { placeholder[Long](25) }\n \n val l18 = tuple6._2\n val func19 = {(box19: Box) =>\n val coll21 = box19.tokens.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll3 })\n val coll22 = box19.R6[Coll[Long]].get\n if (coll21.size > placeholder[Int](26)) { coll21(placeholder[Int](27))._2 } else { placeholder[Long](28) } - coll22(placeholder[Int](29)) + coll22(\n placeholder[Int](30)\n ) + coll22(placeholder[Int](31))\n }\n val coll20 = placeholder[Coll[Byte]](32)\n val func21 = {(box21: Box) => if (bool1) { box21.value } else {(\n val coll23 = box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll20 })\n if (coll23.size > placeholder[Int](33)) { coll23(placeholder[Int](34))._2 } else { placeholder[Long](35) }\n )} }\n val l22 = coll12(placeholder[Int](36))\n val bool23 = bool11 || (l22 == OUTPUTS(placeholder[Int](37)).R6[Coll[Long]].get(placeholder[Int](38)))\n val coll24 = placeholder[Coll[Byte]](39)\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = OUTPUTS.filter({(box26: Box) => blake2b256(box26.propositionBytes) == placeholder[Coll[Byte]](40) })\n val l27 = SELF.value\n val l28 = if (bool1) { if (bool5) { l27 - OUTPUTS(placeholder[Int](41)).value } else { l27 } } else {\n func21(SELF) - if (bool5) { func21(OUTPUTS(placeholder[Int](42))) } else { placeholder[Long](43) }\n }\n val bool29 = bool11 || (l18 == OUTPUTS(placeholder[Int](44)).tokens(placeholder[Int](45))._2)\n val l30 = l28 * placeholder[Int](46).toLong / placeholder[Long](47)\n val l31 = l28 - l30\n val bool32 = l22 >= l8\n val bool33 = bool11 || \n val box33 = OUTPUTS(placeholder[Int](48))\n (l27 == box33.value) && if (bool1) { placeholder[Boolean](49) } else { func21(SELF) == func21(box33) }\n \n val coll34 = coll2.filter({(tuple34: (Coll[Byte], Long)) => tuple34._1 == coll3 })\n val l35 = if (bool5) {(\n val coll35 = OUTPUTS(placeholder[Int](50)).tokens.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll3 })\n if (coll35.size > placeholder[Int](51)) { coll35(placeholder[Int](52))._2 } else { placeholder[Long](53) }\n )} else { placeholder[Long](54) } - if (coll34.size > placeholder[Int](55)) { coll34(placeholder[Int](56))._2 } else { placeholder[Long](57) }\n val l36 = !l35\n val prop37 = sigmaProp(INPUTS.exists({(box37: Box) => box37.propositionBytes == coll24 })) || if (if (placeholder[Boolean](58)) {\n coll24.slice(placeholder[Int](59), placeholder[Int](60)) == placeholder[Coll[Byte]](61)\n } else { placeholder[Boolean](62) }) { proveDlog(decodePoint(coll24.slice(placeholder[Int](63), placeholder[Int](64)))) } else {\n sigmaProp(placeholder[Boolean](65))\n }\n sigmaProp(\n if ((bool1 && (coll2.size == placeholder[Int](66))) || ((!bool1) && (coll2.size == placeholder[Int](67)))) { placeholder[Boolean](68) } else {\n coll2.exists({(tuple38: (Coll[Byte], Long)) => tuple38._1 == coll3 })\n } && if (bool1) {(\n val i38 = coll2.size\n (i38 == placeholder[Int](69)) || (i38 == placeholder[Int](70))\n )} else {(\n val i38 = coll2.size\n ((i38 == placeholder[Int](71)) || (i38 == placeholder[Int](72))) || (i38 == placeholder[Int](73))\n )}\n ) && if (bool10) {(\n val box38 = OUTPUTS(placeholder[Int](74))\n val l39 = l18 - box38.tokens(placeholder[Int](75))._2\n val l40 = box38.R6[Coll[Long]].get(placeholder[Int](76)) - l22\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool14, bool16, bool17)), l39 <= func19(SELF), func21(box38) - func21(SELF) == l39 * l9, allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](77))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](78)) } || if (bool10) {(\n val box38 = OUTPUTS(placeholder[Int](79))\n val l39 = box38.tokens(placeholder[Int](80))._2 - l18\n val l40 = box38.R6[Coll[Long]].get(placeholder[Int](81)) - l13\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool23, bool16, bool17)), (HEIGHT > i7) && (l22 < l8), allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](82))\n ), func21(SELF) - func21(box38) == l39 * l9\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](83)) } || if ((coll25.size > placeholder[Int](84)) && (coll26.size > placeholder[Int](85))) {(\n val box38 = coll26(placeholder[Int](86))\n val box39 = coll25(placeholder[Int](87))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool10 || (\n if (bool1) { l28 == l27 } else { l28 == func21(SELF) } && (!coll2.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll3 }))\n ), bool23, bool14, bool16, bool29, bool17\n )\n ), bool32, if (bool1) { box38.value == l30 } else {(\n val coll40 = box38.tokens.filter({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll20 })\n if (coll40.size > placeholder[Int](88)) { coll40(placeholder[Int](89))._2 } else { placeholder[Long](90) } == l30\n )}, if (bool1) { box39.value == l31 } else {(\n val coll40 = box39.tokens.filter({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll20 })\n if (coll40.size > placeholder[Int](91)) { coll40(placeholder[Int](92))._2 } else { placeholder[Long](93) } == l31\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](94)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool10 || (!OUTPUTS.exists({(box38: Box) => box38.propositionBytes == coll4 })), bool23, bool14, bool16, bool33, bool29)\n ), l35 < placeholder[Long](95), l36 <= func19(SELF)\n )\n )\n ) && prop37 || if (bool5) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool10, bool23, bool14, bool16, bool33, bool29)), l35 > placeholder[Long](96)))) && prop37\n } else { sigmaProp(placeholder[Boolean](97)) } || if (bool5) {(\n val box38 = OUTPUTS(placeholder[Int](98))\n val l39 = box38.tokens(placeholder[Int](99))._2 - l18\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool23, bool14, bool33)), bool32, l39 == box38.R6[Coll[Long]].get(placeholder[Int](100)) - l15, allOf(\n Coll[Boolean](l39 == l36, l39 > placeholder[Long](101))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](102)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "11e2d211b8ce996c105da29357c629007a1919cb2fd02cf52964fd4566fe54b1",
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"ergoTreeConstants": "0: 32\n1: 0\n2: Coll(80,-9,39,109,98,42,-62,40,115,-80,-58,-33,-18,22,20,96,-124,-24,-108,-62,-85,42,-91,99,30,47,96,-17,-71,-107,127,24)\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 0\n15: 1\n16: 2\n17: 0\n18: 2\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 2\n32: Coll(116,-75,35,-42,3,97,-24,44,66,18,-126,-125,-107,122,-20,126,1,-2,95,-26,-30,-101,101,70,100,93,63,126,22,-77,-71,42)\n33: 0\n34: 0\n35: 0\n36: 0\n37: 0\n38: 0\n39: Coll(0,8,-51,2,-111,12,-59,42,-88,-98,57,45,39,21,-4,85,106,-22,84,-43,-44,-40,28,-52,-87,55,-95,20,-127,119,29,55,57,92,57,-73)\n40: Coll(22,-58,101,-89,92,-128,47,26,119,96,50,1,-100,56,-42,-49,-69,117,5,78,63,52,69,106,-52,-87,-109,106,-7,-23,-8,118)\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 100\n48: 0\n49: true\n50: 0\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: true\n59: 0\n60: 3\n61: Coll(0,8,-51)\n62: false\n63: 3\n64: 36\n65: false\n66: 1\n67: 2\n68: true\n69: 1\n70: 2\n71: 1\n72: 2\n73: 3\n74: 0\n75: 0\n76: 0\n77: 0\n78: false\n79: 0\n80: 0\n81: 1\n82: 0\n83: false\n84: 0\n85: 0\n86: 0\n87: 0\n88: 0\n89: 0\n90: 0\n91: 0\n92: 0\n93: 0\n94: false\n95: 0\n96: 0\n97: false\n98: 0\n99: 0\n100: 2\n101: 0\n102: false",
"ergoTreeScript": "{\n val bool1 = placeholder[Int](0) == placeholder[Int](1)\n val coll2 = SELF.tokens\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.propositionBytes\n val bool5 = (OUTPUTS.size > placeholder[Int](3)) && (OUTPUTS(placeholder[Int](4)).propositionBytes == coll4)\n val tuple6 = coll2(placeholder[Int](5))\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = bool5 && \n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n (\n (\n (\n ((((tuple6._1 == coll11(placeholder[Int](7))._1) && (i7 == box10.R4[Int].get)) && (l8 == box10.R5[Long].get)) && (l9 == box10.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box10.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box10.R9[Coll[Byte]].get)\n ) && (coll4 == box10.propositionBytes)\n ) && if (bool1) {(\n val i12 = coll11.size\n (i12 == placeholder[Int](8)) || (i12 == placeholder[Int](9))\n )} else {(\n val i12 = coll11.size\n ((i12 == placeholder[Int](10)) || (i12 == placeholder[Int](11))) || (i12 == placeholder[Int](12))\n )}\n \n val bool11 = !bool5\n val coll12 = SELF.R6[Coll[Long]].get\n val l13 = coll12(placeholder[Int](13))\n val bool14 = bool11 || (l13 == OUTPUTS(placeholder[Int](14)).R6[Coll[Long]].get(placeholder[Int](15)))\n val l15 = coll12(placeholder[Int](16))\n val bool16 = bool11 || (l15 == OUTPUTS(placeholder[Int](17)).R6[Coll[Long]].get(placeholder[Int](18)))\n val bool17 = bool11 || \n val coll17 = coll2.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll3 })\n val coll18 = OUTPUTS(placeholder[Int](19)).tokens.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll3 })\n if (coll17.size > placeholder[Int](20)) { coll17(placeholder[Int](21))._2 } else { placeholder[Long](22) } == if (coll18.size > placeholder[Int](23)) {\n coll18(placeholder[Int](24))._2\n } else { placeholder[Long](25) }\n \n val l18 = tuple6._2\n val func19 = {(box19: Box) =>\n val coll21 = box19.tokens.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll3 })\n val coll22 = box19.R6[Coll[Long]].get\n if (coll21.size > placeholder[Int](26)) { coll21(placeholder[Int](27))._2 } else { placeholder[Long](28) } - coll22(placeholder[Int](29)) + coll22(\n placeholder[Int](30)\n ) + coll22(placeholder[Int](31))\n }\n val coll20 = placeholder[Coll[Byte]](32)\n val func21 = {(box21: Box) => if (bool1) { box21.value } else {(\n val coll23 = box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll20 })\n if (coll23.size > placeholder[Int](33)) { coll23(placeholder[Int](34))._2 } else { placeholder[Long](35) }\n )} }\n val l22 = coll12(placeholder[Int](36))\n val bool23 = bool11 || (l22 == OUTPUTS(placeholder[Int](37)).R6[Coll[Long]].get(placeholder[Int](38)))\n val coll24 = placeholder[Coll[Byte]](39)\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = OUTPUTS.filter({(box26: Box) => blake2b256(box26.propositionBytes) == placeholder[Coll[Byte]](40) })\n val l27 = SELF.value\n val l28 = if (bool1) { if (bool5) { l27 - OUTPUTS(placeholder[Int](41)).value } else { l27 } } else {\n func21(SELF) - if (bool5) { func21(OUTPUTS(placeholder[Int](42))) } else { placeholder[Long](43) }\n }\n val bool29 = bool11 || (l18 == OUTPUTS(placeholder[Int](44)).tokens(placeholder[Int](45))._2)\n val l30 = l28 * placeholder[Int](46).toLong / placeholder[Long](47)\n val l31 = l28 - l30\n val bool32 = l22 >= l8\n val bool33 = bool11 || \n val box33 = OUTPUTS(placeholder[Int](48))\n (l27 == box33.value) && if (bool1) { placeholder[Boolean](49) } else { func21(SELF) == func21(box33) }\n \n val coll34 = coll2.filter({(tuple34: (Coll[Byte], Long)) => tuple34._1 == coll3 })\n val l35 = if (bool5) {(\n val coll35 = OUTPUTS(placeholder[Int](50)).tokens.filter({(tuple35: (Coll[Byte], Long)) => tuple35._1 == coll3 })\n if (coll35.size > placeholder[Int](51)) { coll35(placeholder[Int](52))._2 } else { placeholder[Long](53) }\n )} else { placeholder[Long](54) } - if (coll34.size > placeholder[Int](55)) { coll34(placeholder[Int](56))._2 } else { placeholder[Long](57) }\n val l36 = !l35\n val prop37 = sigmaProp(INPUTS.exists({(box37: Box) => box37.propositionBytes == coll24 })) || if (if (placeholder[Boolean](58)) {\n coll24.slice(placeholder[Int](59), placeholder[Int](60)) == placeholder[Coll[Byte]](61)\n } else { placeholder[Boolean](62) }) { proveDlog(decodePoint(coll24.slice(placeholder[Int](63), placeholder[Int](64)))) } else {\n sigmaProp(placeholder[Boolean](65))\n }\n sigmaProp(\n if ((bool1 && (coll2.size == placeholder[Int](66))) || ((!bool1) && (coll2.size == placeholder[Int](67)))) { placeholder[Boolean](68) } else {\n coll2.exists({(tuple38: (Coll[Byte], Long)) => tuple38._1 == coll3 })\n } && if (bool1) {(\n val i38 = coll2.size\n (i38 == placeholder[Int](69)) || (i38 == placeholder[Int](70))\n )} else {(\n val i38 = coll2.size\n ((i38 == placeholder[Int](71)) || (i38 == placeholder[Int](72))) || (i38 == placeholder[Int](73))\n )}\n ) && if (bool10) {(\n val box38 = OUTPUTS(placeholder[Int](74))\n val l39 = l18 - box38.tokens(placeholder[Int](75))._2\n val l40 = box38.R6[Coll[Long]].get(placeholder[Int](76)) - l22\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool14, bool16, bool17)), l39 <= func19(SELF), func21(box38) - func21(SELF) == l39 * l9, allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](77))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](78)) } || if (bool10) {(\n val box38 = OUTPUTS(placeholder[Int](79))\n val l39 = box38.tokens(placeholder[Int](80))._2 - l18\n val l40 = box38.R6[Coll[Long]].get(placeholder[Int](81)) - l13\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool23, bool16, bool17)), (HEIGHT > i7) && (l22 < l8), allOf(\n Coll[Boolean](l39 == l40, l40 > placeholder[Long](82))\n ), func21(SELF) - func21(box38) == l39 * l9\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](83)) } || if ((coll25.size > placeholder[Int](84)) && (coll26.size > placeholder[Int](85))) {(\n val box38 = coll26(placeholder[Int](86))\n val box39 = coll25(placeholder[Int](87))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool10 || (\n if (bool1) { l28 == l27 } else { l28 == func21(SELF) } && (!coll2.exists({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll3 }))\n ), bool23, bool14, bool16, bool29, bool17\n )\n ), bool32, if (bool1) { box38.value == l30 } else {(\n val coll40 = box38.tokens.filter({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll20 })\n if (coll40.size > placeholder[Int](88)) { coll40(placeholder[Int](89))._2 } else { placeholder[Long](90) } == l30\n )}, if (bool1) { box39.value == l31 } else {(\n val coll40 = box39.tokens.filter({(tuple40: (Coll[Byte], Long)) => tuple40._1 == coll20 })\n if (coll40.size > placeholder[Int](91)) { coll40(placeholder[Int](92))._2 } else { placeholder[Long](93) } == l31\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](94)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool10 || (!OUTPUTS.exists({(box38: Box) => box38.propositionBytes == coll4 })), bool23, bool14, bool16, bool33, bool29)\n ), l35 < placeholder[Long](95), l36 <= func19(SELF)\n )\n )\n ) && prop37 || if (bool5) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool10, bool23, bool14, bool16, bool33, bool29)), l35 > placeholder[Long](96)))) && prop37\n } else { sigmaProp(placeholder[Boolean](97)) } || if (bool5) {(\n val box38 = OUTPUTS(placeholder[Int](98))\n val l39 = box38.tokens(placeholder[Int](99))._2 - l18\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool10, bool23, bool14, bool33)), bool32, l39 == box38.R6[Coll[Long]].get(placeholder[Int](100)) - l15, allOf(\n Coll[Boolean](l39 == l36, l39 > placeholder[Long](101))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](102)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "11e2d211b8ce996c105da29357c629007a1919cb2fd02cf52964fd4566fe54b1",
"index": 0,
"amount": 99999702,
"name": "TEST 17-NOV APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 1,
"amount": 95000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 3000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05d804",
"sigmaType": "SLong",
"renderedValue": "300"
},
"R6": {
"serializedValue": "1103a006c80100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[400,100,0]"
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