Transaction
ID: e1b6b18086...0a67
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0012114 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.85124776 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.0012114 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.85014776 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 58,623
Total coins transferred: 0.85245916 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000204 ERG
Raw Transaction Data
{
"id": "e1b6b18086d6aca7161555ef173ebe06fab6c7f83d4e4bca1d72df9e3ff20a67",
"blockId": "7ff261f5275aa4eb1dde4eb9860ae1c36e60bef71dc001eac9df2715855685b0",
"inclusionHeight": 1705351,
"timestamp": 1769086103624,
"index": 12,
"globalIndex": 10184026,
"numConfirmations": 58623,
"inputs": [
{
"boxId": "c3527b1848e5cf594c782e1cb38cd636e7a716acf328aa060268378964bbdf7b",
"value": 1211400,
"index": 0,
"spendingProof": null,
"outputBlockId": "176a4079dc0d5c532d4346c6f25e8b0ff93831aff2317d976d36b4509c7bbf7f",
"outputTransactionId": "23057a806e41cf1c020166e064d471ae42349c949005896cc6d6c7f0632a500f",
"outputIndex": 0,
"outputGlobalIndex": 53122428,
"outputCreatedAt": 1705328,
"outputSettledAt": 1705329,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(47,-35,-33,-73,-49,16,14,7,-35,35,-48,-64,33,80,10,126,-109,-115,5,10,-124,-25,-106,105,71,-120,-8,-45,-88,61,-90,-121)\n2: 0\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n19: 0\n20: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 5\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: Coll(-101,3,101,37,50,25,-79,-73,50,0,107,-13,-81,-26,110,-50,-104,-49,-42,19,44,42,119,-41,74,81,-23,-88,8,-34,63,122)\n46: 1\n47: 1\n48: 2\n49: 30\n50: false\n51: 0\n52: 0\n53: 0\n54: 1000000\n55: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R5[(Coll[Byte], Long)].get\n val coll9 = tuple8._1\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll11 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R7[Coll[Coll[Byte]]].get\n val l16 = tuple8._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == coll5 })\n if (coll17.size == placeholder[Int](8)) {(\n val box18 = coll17(placeholder[Int](9))\n val tuple19 = box18.R6[(Coll[Byte], Coll[Byte])].get\n val coll20 = tuple19._1\n val coll21 = tuple19._2\n val coll22 = Coll[Byte]()\n if (((blake2b256(coll20) == coll6) && (blake2b256(box18.propositionBytes) == coll5)) && if (coll21 == coll22) { placeholder[Boolean](10) } else {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](11)) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.R5[Coll[Byte]].get == coll21) })\n if (coll23.size == placeholder[Int](12)) {(\n val box24 = coll23(placeholder[Int](13))\n val coll25 = box24.R9[Coll[Long]].get\n ((coll25.fold(placeholder[Boolean](14), {(tuple26: (Boolean, Long)) =>\n val bool28 = tuple26._1\n if (bool28) { bool28 } else { if (blake2b256(box24.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple26._2)).append(box24.R8[Coll[Byte]].get).append(box24.R4[Coll[Byte]].get).append(coll20)) == box24.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool28 } }\n }) && if (coll11 == coll22) { box24.value >= l12 } else { box24.tokens.exists({(tuple26: (Coll[Byte], Long)) => (tuple26._1 == coll11) && (tuple26._2 >= l12) }) }) && (box24.creationInfo._1.toLong < l4)) && (coll25.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((((((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](18)) && (box23.tokens.size > placeholder[Int](19))) && (box23.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box23.R5[Coll[Byte]].get == coll7)) && box23.R6[Boolean].get) && box23.R8[Boolean].get) && coll15.exists({(coll25: Coll[Byte]) => coll25 == box23.tokens(placeholder[Int](21))._1 }) })\n val coll24 = coll23.map({(box24: Box) => box24.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func13(box18) >= l14) && (box18.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == coll7 }).size == placeholder[Int](23))) && (box18.R4[Int].get == placeholder[Int](24))) && (box18.R5[Coll[Byte]].get == coll9)) && (box18.R7[Coll[Coll[Byte]]].get == coll15)) && (box18.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box18.R8[Coll[Long]].get(placeholder[Int](26)) == l14)) && (box18.R8[Coll[Long]].get(placeholder[Int](27)) == l12)) && (box18.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box18.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box18.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll10(placeholder[Int](35)))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll11)) && (box18.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll24.indices.forall({(i25: Int) => !coll24.slice(i25 + placeholder[Int](38), coll23.size).exists({(coll27: Coll[Byte]) => coll27 == coll24(i25) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box17 = OUTPUTS(placeholder[Int](43))\n val l18 = l14 - l14 / placeholder[Long](44)\n ((((((((blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](45)) && (func13(box17) >= l18)) && (box17.tokens.filter({(tuple19: (Coll[Byte], Long)) => (tuple19._1 == coll7) && (tuple19._2 == placeholder[Long](46)) }).size == placeholder[Int](47))) && (box17.R4[Int].get == placeholder[Int](48))) && (box17.R5[Long].get >= l2 + placeholder[Long](49))) && (blake2b256(box17.R6[Coll[Byte]].get) == coll6)) && (box17.R7[Long].get == l18)) && (box17.R8[Long].get == l4)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](50) }) || if ((l2 < l16) && (OUTPUTS.size > placeholder[Int](51))) {(\n val box17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](52))\n val l18 = box17.value\n val tuple19 = box17.R5[(Coll[Byte], Long)].get\n ((((((((box17.tokens(placeholder[Int](53))._1 == coll7) && ((l18 >= placeholder[Long](54)) && (l18 == SELF.value))) && (tuple19._1 == blake2b256(coll9.append(SELF.id)))) && (tuple19._2 == l16)) && (box17.R4[Int].get == i1)) && (box17.R6[Coll[Byte]].get == coll6)) && (box17.R7[Coll[Coll[Byte]]].get == coll15)) && (box17.R8[Coll[Long]].get == coll3)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](55) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "6cd0075314bb25009efc81d6dd7036ecea2d1db5d97c494ed1792018c92e6447",
"index": 0,
"amount": 1,
"name": "Dev Game [afc859] - Comprobar accion de participacion offline",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 10000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e0815c4d31c197bf744e295d001",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[15c4d31c197bf744,1705329]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1106f495d001a09c01e807a09c0180b51828",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1705338,10000,500,10000,200000,20]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "a39ee2531b15dab34e99ab8853aabb83721df67913ef80a4118c3eda22a5ef73",
"value": 851247760,
"index": 1,
"spendingProof": "319014c1538625e155dbb7d3bba59f6aba67c3c8e8041fadb37a007db18e10fe80903666f3052d480e39e358aab185371c77ae8c25e3fdc0",
"outputBlockId": "8dc1de738d85fd20648a624321814bc09cf20d0c429fd140c3ee5a483ecd294c",
"outputTransactionId": "2d6063d8d58e7446f434cad92e0daeecd2a01fc9ccb5d177611958abec210e56",
"outputIndex": 2,
"outputGlobalIndex": 53122458,
"outputCreatedAt": 1705329,
"outputSettledAt": 1705330,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 95813788,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "1977f8a006161e972a8acb50c4b955b423ca00030302a943a3498c8d83361325",
"index": 1,
"amount": 1,
"name": "TEST V6",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8ad432094f048021ee6c6f1cedc0946be8da2166c701ac8bb4464613c5259b17",
"index": 2,
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"ergoTreeConstants": "0: 5\n1: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 2\n7: -1\n8: false\n9: true\n10: 6\n11: 1\n12: 3\n13: 4\n14: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n15: 1\n16: 1\n17: 1\n18: 1\n19: 0\n20: 0\n21: 10\n22: -1\n23: 1\n24: 0\n25: -1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 2\n31: 3\n32: 4\n33: 5\n34: 6\n35: 0\n36: 0\n37: 1\n38: 2\n39: 2\n40: 5\n41: 5\n42: 3\n43: false\n44: false\n45: false\n46: false\n47: false\n48: 0\n49: 0\n50: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n51: 0\n52: 0\n53: 1\n54: 0\n55: 0\n56: 2\n57: 1\n58: 1\n59: 0\n60: true\n61: 1\n62: 0\n63: 10\n64: false\n65: 1\n66: 0\n67: 5\n68: 5\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 0\n77: 6\n78: false\n79: false\n80: false\n81: 0\n82: 0\n83: Coll(-90,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-39)\n84: 0\n85: 0\n86: 1\n87: 0\n88: 0\n89: 2\n90: 1\n91: 1\n92: 0\n93: true\n94: 1\n95: 0\n96: 10\n97: false\n98: 1\n99: 0\n100: 5\n101: 5\n102: 0\n103: 1\n104: 0\n105: 1\n106: 2\n107: 3\n108: 4\n109: 6\n110: false\n111: false\n112: false\n113: 0\n114: Coll(-29,5,121,27,-29,41,77,-63,27,86,20,61,-48,-84,95,28,89,95,-71,17,81,-13,-95,93,90,99,11,44,-100,-82,-46,-52)\n115: 1\n116: 0\n117: 0\n118: 1\n119: 0\n120: 1\n121: 2\n122: 3\n123: 4\n124: 5\n125: 6\n126: false\n127: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val coll11 = SELF.R9[Coll[Coll[Byte]]].get\n val coll12 = coll11(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll12 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R5[Coll[Byte]].get\n val coll16 = tuple8._1\n val func17 = {(box17: Box) => box17.R9[Coll[Long]].get.fold((placeholder[Long](7), placeholder[Boolean](8)), {(tuple19: ((Long, Boolean), Long)) =>\n val tuple21 = tuple19._1\n val l22 = tuple19._2\n if (tuple21._2) { tuple21 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(coll15).append(longToByteArray(l22)).append(box17.R8[Coll[Byte]].get).append(box17.R4[Coll[Byte]].get).append(coll16)) == box17.R5[Coll[Byte]].get) { (l22, placeholder[Boolean](9)) } else { tuple21 } }\n }) }\n val l18 = coll3(placeholder[Int](10))\n val coll19 = SELF.R7[Coll[Coll[Byte]]].get\n val l20 = coll3(placeholder[Int](11))\n val l21 = coll3(placeholder[Int](12))\n val l22 = coll3(placeholder[Int](13))\n val coll23 = placeholder[Coll[Byte]](14)\n sigmaProp(i1 == placeholder[Int](15)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](16))) && (OUTPUTS.size > placeholder[Int](17))) {(\n val coll24 = CONTEXT.dataInputs\n val coll25 = coll24.filter({(box25: Box) => ((blake2b256(box25.propositionBytes) == coll6) && (box25.R6[Coll[Byte]].get == coll7)) && (box25.R5[Coll[Byte]].get != coll9) })\n if (coll25.size == placeholder[Int](18)) {(\n val box26 = coll25(placeholder[Int](19))\n val box27 = OUTPUTS(placeholder[Int](20))\n if (((((blake2b256(box26.propositionBytes) == coll6) && (box26.R6[Coll[Byte]].get == coll7)) && (box26.creationInfo._1.toLong < l10)) && (func13(box26) >= l14)) && (box26.R9[Coll[Long]].get.size.toLong <= placeholder[Long](21))) {(\n val l28 = func17(box26)._1\n val bool29 = l28 != placeholder[Long](22)\n if (bool29) {(\n val coll30 = Coll[Byte]()\n val coll31 = if (coll9 == coll30) { box26.R5[Coll[Byte]].get } else {(\n val coll31 = coll24.filter({(box31: Box) => ((blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9)) && (box31.R6[Coll[Byte]].get == coll7) })\n if (coll31.size == placeholder[Int](23)) {(\n val box32 = coll31(placeholder[Int](24))\n val tuple33 = func17(box32)\n val l34 = tuple33._1\n if (tuple33._2 && (l34 != placeholder[Long](25))) {(\n val l35 = l18 + l10\n val i36 = box26.creationInfo._1\n val l37 = l28 * l35 - i36.toLong\n val i38 = box32.creationInfo._1\n val l39 = l34 * l35 - i38.toLong\n if ((l37 > l39) || ((l37 == l39) && (i36 < i38))) { box26.R5[Coll[Byte]].get } else { coll30 }\n )} else { coll30 }\n )} else { coll30 }\n )}\n if ((coll31 != coll30) && (coll31 != coll9)) { (((((((((((((((((((func13(box27) >= func13(SELF)) && (box27.tokens(placeholder[Int](26))._1 == coll7)) && (box27.R4[Int].get == i1)) && (i1 == placeholder[Int](27))) && (box27.R5[Coll[Byte]].get == coll15)) && (box27.R6[(Coll[Byte], Coll[Byte])].get._1 == coll16)) && (box27.R6[(Coll[Byte], Coll[Byte])].get._2 == coll31)) && (box27.R7[Coll[Coll[Byte]]].get == coll19)) && (box27.R8[Coll[Long]].get(placeholder[Int](28)) == l10)) && (box27.R8[Coll[Long]].get(placeholder[Int](29)) == l20)) && (box27.R8[Coll[Long]].get(placeholder[Int](30)) == l14)) && (box27.R8[Coll[Long]].get(placeholder[Int](31)) == l21)) && (box27.R8[Coll[Long]].get(placeholder[Int](32)) == l22)) && (box27.R8[Coll[Long]].get(placeholder[Int](33)) == l4)) && (box27.R8[Coll[Long]].get(placeholder[Int](34)) == l18)) && (box27.R9[Coll[Coll[Byte]]].get(placeholder[Int](35)) == coll11(placeholder[Int](36)))) && (box27.R9[Coll[Coll[Byte]]].get(placeholder[Int](37)) == coll12)) && ((box27.R9[Coll[Coll[Byte]]].get(placeholder[Int](38)) == coll11(placeholder[Int](39))) || (l4 - placeholder[Long](40) + placeholder[Long](41) < l2))) && (box27.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](42))) && bool29 } else { placeholder[Boolean](43) }\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](48))) {(\n val coll24 = CONTEXT.dataInputs\n val coll25 = coll24.filter({(box25: Box) => ((((((blake2b256(box25.propositionBytes) == coll23) && (box25.tokens.size > placeholder[Int](49))) && (box25.R4[Coll[Byte]].get == placeholder[Coll[Byte]](50))) && (box25.R5[Coll[Byte]].get == coll9)) && box25.R6[Boolean].get) && (!box25.R8[Boolean].get)) && coll19.exists({(coll27: Coll[Byte]) => coll27 == box25.tokens(placeholder[Int](51))._1 }) })\n val coll26 = coll25.map({(box26: Box) => box26.tokens(placeholder[Int](52))._1 })\n val i27 = coll25.size\n val i28 = coll19.size\n val coll29 = OUTPUTS.filter({(box29: Box) => box29.propositionBytes == SELF.propositionBytes })\n if ((coll26.indices.forall({(i30: Int) => !coll26.slice(i30 + placeholder[Int](53), i27).exists({(coll32: Coll[Byte]) => coll32 == coll26(i30) }) }) && (i27 >= if (i28 == placeholder[Int](54)) { placeholder[Int](55) } else { i28 / placeholder[Int](56) + placeholder[Int](57) })) && (coll29.size == placeholder[Int](58))) {(\n val box30 = coll29(placeholder[Int](59))\n val coll31 = box30.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll32 = INPUTS.filter({(box32: Box) => (blake2b256(box32.propositionBytes) == coll6) && (box32.R5[Coll[Byte]].get == coll9) })\n if (if (coll31 == Coll[Byte]()) { placeholder[Boolean](60) } else {(\n val coll33 = coll24.filter({(box33: Box) => ((blake2b256(box33.propositionBytes) == coll6) && (box33.R6[Coll[Byte]].get == coll7)) && (box33.R5[Coll[Byte]].get == coll31) })\n if (coll33.size == placeholder[Int](61)) {(\n val box34 = coll33(placeholder[Int](62))\n ((func17(box34)._2 && (func13(box34) >= l14)) && (box34.creationInfo._1.toLong < l10)) && (box34.R9[Coll[Long]].get.size.toLong <= placeholder[Long](63))\n )} else { placeholder[Boolean](64) }\n )} && (coll32.size == placeholder[Int](65))) {(\n val coll33 = box30.R8[Coll[Long]].get\n ((func13(box30) >= func13(SELF) + func13(coll32(placeholder[Int](66)))) && (coll33(placeholder[Int](67)) >= l2 + placeholder[Long](68))) && ((((((((((((box30.tokens(placeholder[Int](69))._1 == coll7) && (box30.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box30.R5[Coll[Byte]].get == coll15)) && (box30.R7[Coll[Coll[Byte]]].get == coll19)) && (coll33(placeholder[Int](71)) == l10)) && (coll33(placeholder[Int](72)) == l20)) && (coll33(placeholder[Int](73)) == l14)) && (coll33(placeholder[Int](74)) == l21 + l22)) && (coll33(placeholder[Int](75)) == placeholder[Long](76))) && (coll33(placeholder[Int](77)) == l18)) && (box30.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](78) }\n )} else { placeholder[Boolean](79) }\n )} else { placeholder[Boolean](80) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](81))) {(\n val coll24 = CONTEXT.dataInputs\n val coll25 = coll24.filter({(box25: Box) => ((((blake2b256(box25.propositionBytes) == coll23) && (box25.tokens.size > placeholder[Int](82))) && (box25.R4[Coll[Byte]].get == placeholder[Coll[Byte]](83))) && (box25.R5[Coll[Byte]].get == coll9)) && coll19.exists({(coll27: Coll[Byte]) => coll27 == box25.tokens(placeholder[Int](84))._1 }) })\n val coll26 = coll25.map({(box26: Box) => box26.tokens(placeholder[Int](85))._1 })\n val i27 = coll25.size\n val i28 = coll19.size\n val coll29 = OUTPUTS.filter({(box29: Box) => box29.propositionBytes == SELF.propositionBytes })\n if ((coll26.indices.forall({(i30: Int) => !coll26.slice(i30 + placeholder[Int](86), i27).exists({(coll32: Coll[Byte]) => coll32 == coll26(i30) }) }) && (i27 >= if (i28 == placeholder[Int](87)) { placeholder[Int](88) } else { i28 / placeholder[Int](89) + placeholder[Int](90) })) && (coll29.size == placeholder[Int](91))) {(\n val box30 = coll29(placeholder[Int](92))\n val coll31 = box30.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll32 = INPUTS.filter({(box32: Box) => (blake2b256(box32.propositionBytes) == coll6) && (box32.R5[Coll[Byte]].get == coll9) })\n if (if (coll31 == Coll[Byte]()) { placeholder[Boolean](93) } else {(\n val coll33 = coll24.filter({(box33: Box) => ((blake2b256(box33.propositionBytes) == coll6) && (box33.R6[Coll[Byte]].get == coll7)) && (box33.R5[Coll[Byte]].get == coll31) })\n if (coll33.size == placeholder[Int](94)) {(\n val box34 = coll33(placeholder[Int](95))\n ((func17(box34)._2 && (func13(box34) >= l14)) && (box34.creationInfo._1.toLong < l10)) && (box34.R9[Coll[Long]].get.size.toLong <= placeholder[Long](96))\n )} else { placeholder[Boolean](97) }\n )} && (coll32.size == placeholder[Int](98))) {(\n val coll33 = box30.R8[Coll[Long]].get\n ((func13(box30) >= func13(SELF) + func13(coll32(placeholder[Int](99)))) && (coll33(placeholder[Int](100)) >= l2 + placeholder[Long](101))) && ((((((((((((box30.tokens(placeholder[Int](102))._1 == coll7) && (box30.R4[Int].get == i1)) && (i1 == placeholder[Int](103))) && (box30.R5[Coll[Byte]].get == coll15)) && (box30.R7[Coll[Coll[Byte]]].get == coll19)) && (coll33(placeholder[Int](104)) == l10)) && (coll33(placeholder[Int](105)) == l20)) && (coll33(placeholder[Int](106)) == l14)) && (coll33(placeholder[Int](107)) == l21)) && (coll33(placeholder[Int](108)) == l22)) && (coll33(placeholder[Int](109)) == l18)) && (box30.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](110) }\n )} else { placeholder[Boolean](111) }\n )} else { placeholder[Boolean](112) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](113))) {(\n val coll24 = OUTPUTS.filter({(box24: Box) => blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](114) })\n if (coll24.size == placeholder[Int](115)) {(\n val box25 = coll24(placeholder[Int](116))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box25.tokens(placeholder[Int](117))._1 == coll7) && (box25.R4[Int].get == i1)) && (i1 == placeholder[Int](118))) && (\n box25.R5[Coll[Byte]].get == coll15\n )\n ) && (box25.R6[(Coll[Byte], Coll[Byte])].get._1 == coll16)\n ) && (box25.R6[(Coll[Byte], Coll[Byte])].get._2 == coll9)\n ) && (box25.R7[Coll[Coll[Byte]]].get == coll19)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](119)) == l10)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](120)) == l20)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](121)) == l14)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](122)) == l21)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](123)) == l22)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](124)) == l4)\n ) && (box25.R8[Coll[Long]].get(placeholder[Int](125)) == l18)\n ) && (box25.R9[Coll[Coll[Byte]]].get == coll11)\n ) && (func13(box25) >= func13(SELF))\n )\n )} else { sigmaProp(placeholder[Boolean](126)) }\n )} else { sigmaProp(placeholder[Boolean](127)) }\n}",
"address": "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",
"assets": [
{
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"name": "Dev Game [afc859] - Comprobar accion de participacion offline",
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{
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "15c4d31c197bf744"
},
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},
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},
"R4": {
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}
},
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"mainChain": true
},
{
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"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)}",
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{
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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