Transaction
ID: a6ddfd56a2...fe5a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.247 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2459 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 52,983
Total coins transferred: 0.257 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000468 ERG
Raw Transaction Data
{
"id": "a6ddfd56a253255ee892cb60f421e374480b0cc7351da5cd0bb8773c50c7fe5a",
"blockId": "68ad5ed7e102752ec8eb0d0e32acab8dc6443484a14460d17dd3b4fb77cf649b",
"inclusionHeight": 1711710,
"timestamp": 1769854352631,
"index": 2,
"globalIndex": 10229966,
"numConfirmations": 52983,
"inputs": [
{
"boxId": "62b201365da4f621b93914a3eb09d6c0baa9b43ff81d051398b3b8a159fa4379",
"value": 10000000,
"index": 0,
"spendingProof": "493a96eaacade1462c0701c381a55339453e2dacf9a250ec5660148f2364f26471b318ae3dd149408657e90248e035bd132b0c65a91f68e6",
"outputBlockId": "d9312176f4998913365cecdbb7eb9624d08c54f4c18872bd97d97e3a0278f8fa",
"outputTransactionId": "5e95bb04f31e265d89d85ddbc9fcd1a8c4f170b98d0ddd845c493af536d7f960",
"outputIndex": 0,
"outputGlobalIndex": 53295851,
"outputCreatedAt": 1711582,
"outputSettledAt": 1711583,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-125,73,-6,-108,103,10,27,-39,82,70,-125,-118,-105,49,105,-61,71,-75,125,113,-53,110,-12,-116,22,-29,111,-104,-40,44,94,-97)\n2: Coll(-75,-79,14,113,114,50,-72,-30,16,83,124,64,-109,-18,-108,33,-43,-83,-89,-113,-32,93,95,-1,-15,-41,-75,-95,-108,72,67,8)\n3: Coll(98,-103,-19,20,-108,-4,-30,17,14,99,-84,33,-4,-17,101,101,119,74,4,-124,-66,-60,-47,-5,15,67,6,92,-103,70,107,114)\n4: Coll(45,24,-5,-46,-20,-19,48,42,63,-66,-110,25,67,-34,113,33,-56,52,2,102,-32,49,107,122,52,5,-43,-86,-103,-70,-72,-94)\n5: Coll(-117,-82,2,45,-8,57,9,4,77,-71,100,70,-119,104,19,-7,92,71,119,-34,-103,-81,-117,-87,27,43,-103,54,14,55,-62,127)\n6: 1\n7: 1\n8: Coll(2,96,121,-22,122,-107,-60,-6,-13,-84,40,-98,67,88,69,73,108,-103,0,80,-73,24,-63,57,-59,-77,-101,101,-60,-100,84,-87)\n9: Coll(72,-81,-58,48,79,17,66,-80,124,30,119,10,123,101,109,116,-18,87,-20,126,74,104,121,20,-87,101,-121,85,-89,7,-42,102)\n10: Coll(9,105,-119,-54,-121,-95,101,-109,12,58,111,12,77,-33,-104,49,-101,-44,-128,-69,-108,-115,-112,104,38,-95,-87,-90,-18,-14,-109,40)\n11: true\n12: 0\n13: -1\n14: 0\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 10\n33: false\n34: false\n35: false\n36: false\n37: false\n38: false\n39: 720\n40: 0\n41: 0\n42: 0\n43: 310\n44: 0\n45: 0\n46: 0\n47: 0\n48: 310\n49: 0\n50: 0\n51: 0\n52: true\n53: 0\n54: true\n55: 1\n56: 0\n57: 1\n58: 0\n59: 1\n60: 0\n61: 1\n62: 0\n63: 1\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: -1\n72: 0\n73: 3600\n74: 0\n75: 1\n76: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.propositionBytes\n val coll3 = SELF.propositionBytes\n val coll4 = SELF.tokens\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = placeholder[Coll[Byte]](2)\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = placeholder[Coll[Byte]](4)\n val coll9 = placeholder[Coll[Byte]](5)\n val func10 = {(coll10: Coll[Byte]) => ((((coll10 == coll5) || (coll10 == coll6)) || (coll10 == coll7)) || (coll10 == coll8)) || (coll10 == coll9) }\n val bool11 = coll4.filter({(tuple11: (Coll[Byte], Long)) => func10(tuple11._1) && (tuple11._2 == placeholder[Long](6)) }).size == placeholder[Int](7)\n val bool12 = box1.value == SELF.value\n val coll13 = placeholder[Coll[Byte]](8)\n val coll14 = placeholder[Coll[Byte]](9)\n val coll15 = placeholder[Coll[Byte]](10)\n val coll16 = Coll[Coll[Byte]](coll13, coll14, coll15, coll5, coll6, coll7, coll8, coll9)\n val bool17 = coll4.forall({(tuple17: (Coll[Byte], Long)) => coll16.exists({(coll19: Coll[Byte]) => coll19 == tuple17._1 }) })\n val coll18 = box1.tokens\n val bool19 = coll18.forall({(tuple19: (Coll[Byte], Long)) => coll16.exists({(coll21: Coll[Byte]) => coll21 == tuple19._1 }) })\n val coll20 = SELF.R6[Coll[Byte]].get\n val bool21 = ((((((coll2 == coll3) && bool11) && bool12) && bool17) && bool19) && coll4.forall({(tuple21: (Coll[Byte], Long)) =>\n val coll23 = tuple21._1\n if (Coll[Coll[Byte]](coll13, coll14, coll15).exists({(coll24: Coll[Byte]) => coll24 == coll23 })) { placeholder[Boolean](11) } else { coll18.exists({(tuple24: (Coll[Byte], Long)) => (tuple24._1 == coll23) && (tuple24._2 == tuple21._2) }) }\n })) && (coll20.size > placeholder[Int](12))\n val ge22 = box1.R4[GroupElement].get\n val ge23 = SELF.R4[GroupElement].get\n val bool24 = ge22 == ge23\n val l25 = box1.R5[Long].get\n val l26 = SELF.R5[Long].get\n val coll27 = box1.R6[Coll[Byte]].get\n val l28 = box1.R7[Long].get\n val l29 = SELF.R7[Long].get\n val opt30 = SELF.R8[Coll[Byte]]\n val bool31 = opt30.isDefined\n val opt32 = box1.R8[Coll[Byte]]\n val opt33 = SELF.R9[Long]\n val bool34 = opt33.isDefined\n val opt35 = box1.R9[Long]\n val bool36 = !(l29 == placeholder[Long](13))\n val coll37 = coll18.filter({(tuple37: (Coll[Byte], Long)) => tuple37._1 == coll15 })\n val l38 = if (coll37.size > placeholder[Int](14)) { coll37(placeholder[Int](15))._2 } else { placeholder[Long](16) }\n val coll39 = coll4.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll15 })\n val l40 = if (coll39.size > placeholder[Int](17)) { coll39(placeholder[Int](18))._2 } else { placeholder[Long](19) }\n val l41 = l38 - l40\n val coll42 = coll18.filter({(tuple42: (Coll[Byte], Long)) => tuple42._1 == coll13 })\n val l43 = if (coll42.size > placeholder[Int](20)) { coll42(placeholder[Int](21))._2 } else { placeholder[Long](22) }\n val coll44 = coll4.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll13 })\n val l45 = if (coll44.size > placeholder[Int](23)) { coll44(placeholder[Int](24))._2 } else { placeholder[Long](25) }\n val l46 = l43 - l45\n val coll47 = coll18.filter({(tuple47: (Coll[Byte], Long)) => tuple47._1 == coll14 })\n val l48 = if (coll47.size > placeholder[Int](26)) { coll47(placeholder[Int](27))._2 } else { placeholder[Long](28) }\n val coll49 = coll4.filter({(tuple49: (Coll[Byte], Long)) => tuple49._1 == coll14 })\n val l50 = if (coll49.size > placeholder[Int](29)) { coll49(placeholder[Int](30))._2 } else { placeholder[Long](31) }\n val l51 = l48 - l50\n val l52 = l46 * placeholder[Long](32) + l51\n val bool53 = OUTPUTS.exists({(box53: Box) => (box53.propositionBytes == coll20) && (box53.value == l26) })\n val bool54 = getVar[Boolean](1.toByte).getOrElse(placeholder[Boolean](33))\n val bool55 = getVar[Boolean](2.toByte).getOrElse(placeholder[Boolean](34))\n val bool56 = getVar[Boolean](4.toByte).getOrElse(placeholder[Boolean](35))\n val bool57 = getVar[Boolean](5.toByte).getOrElse(placeholder[Boolean](36))\n val bool58 = getVar[Boolean](6.toByte).getOrElse(placeholder[Boolean](37))\n val bool59 = getVar[Boolean](7.toByte).getOrElse(placeholder[Boolean](38))\n val bool60 = l25 == l26\n val bool61 = coll27 == coll20\n val bool62 = l28 == l29\n val bool63 = if (bool31) { opt32.isDefined && (opt32.get == opt30.get) } else { !opt32.isDefined }\n val bool64 = if (bool34) { opt35.isDefined && (opt35.get == opt33.get) } else { !opt35.isDefined }\n val opt65 = getVar[GroupElement](8.toByte)\n val l66 = HEIGHT.toLong\n val l67 = l66 + placeholder[Long](39)\n val bool68 = l28 == placeholder[Long](40)\n sigmaProp(\n (\n bool21 && (\n (\n (((bool24 && (l25 == l26)) && (coll27 == coll20)) && (l28 == l29)) && if (bool31) { opt32.isDefined && (opt32.get == opt30.get) } else {\n !opt32.isDefined\n }\n ) && if (bool34) { opt35.isDefined && (opt35.get == opt33.get) } else { !opt35.isDefined }\n )\n ) && (\n (\n (\n (\n (((bool36 && (l52 > placeholder[Long](41))) && (l41 < placeholder[Long](42))) && (l52 >= !l41 * placeholder[Long](43))) && (\n l46 >= placeholder[Long](44)\n )\n ) && (l51 >= placeholder[Long](45))\n ) && bool53\n ) || (\n (\n (\n (\n (\n (((bool36 && (l41 > placeholder[Long](46))) && (l52 < placeholder[Long](47))) && (!l52 == l41 * placeholder[Long](48))) && (\n l46 <= placeholder[Long](49)\n )\n ) && (l51 <= placeholder[Long](50))\n ) && if (l46 < placeholder[Long](51)) { !l46 <= l45 } else { placeholder[Boolean](52) }\n ) && if (l51 < placeholder[Long](53)) { !l51 <= l50 } else { placeholder[Boolean](54) }\n ) && bool53\n )\n )\n ) || proveDlog(ge23) && sigmaProp(\n (\n (bool21 && (((l43 >= l45) && (l48 >= l50)) && (l38 >= l40))) && (\n (\n if (bool54) { placeholder[Int](55) } else { placeholder[Int](56) } + if (bool55) { placeholder[Int](57) } else {\n placeholder[Int](58)\n } + if (bool56) { placeholder[Int](59) } else { placeholder[Int](60) } + if (bool57) { placeholder[Int](61) } else {\n placeholder[Int](62)\n } + if (bool58) { placeholder[Int](63) } else { placeholder[Int](64) } + if (bool59) { placeholder[Int](65) } else {\n placeholder[Int](66)\n } <= placeholder[Int](67)\n ) && (\n (\n (\n (\n (\n (\n (\n ((((((!bool54) && (!bool55)) && (!bool56)) && (!bool57)) && (!bool58)) && (!bool59)) && (\n ((((bool24 && bool60) && bool61) && bool62) && bool63) && bool64\n )\n ) || (\n (\n ((((((bool54 && bool60) && bool61) && bool62) && bool63) && bool64) && opt65.isDefined) && (\n opt65.get.getEncoded.size > placeholder[Int](68)\n )\n ) && (ge22 == opt65.get)\n )\n ) || (((((bool55 && bool24) && bool61) && bool62) && bool63) && bool64)\n ) || (((((((bool56 && (l29 == placeholder[Long](69))) && (l28 == l67)) && bool24) && bool60) && bool61) && bool63) && bool64)\n ) || (\n (\n ((((((bool58 && (l29 > placeholder[Long](70))) && (l66 > l29)) && (l28 == placeholder[Long](71))) && bool24) && bool60) && bool61) && bool63\n ) && bool64\n )\n ) || (((((((bool59 && (l29 != placeholder[Long](72))) && bool68) && bool24) && bool60) && bool61) && bool63) && bool64)\n ) || (\n (\n (((((((bool57 && ((!bool31) && (!bool34))) && bool24) && bool60) && bool61) && bool62) && opt32.isDefined) && opt35.isDefined) && (\n opt35.get >= l67\n )\n ) && (opt35.get <= l66 + placeholder[Long](73))\n )\n )\n )\n ) || (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool31 && bool34) && (bool34 && (l66 > opt33.get))) && (bool31 && (blake2b256(coll2) == opt30.get))) && (coll2 != coll3)) && bool12\n ) && coll4.forall(\n {(tuple69: (Coll[Byte], Long)) =>\n coll18.exists({(tuple71: (Coll[Byte], Long)) => (tuple71._1 == tuple69._1) && (tuple71._2 == tuple69._2) })\n }\n )\n ) && bool17\n ) && bool19\n ) && bool24\n ) && bool60\n ) && (bool61 && (coll27.size > placeholder[Int](74)))\n ) && bool68\n ) && bool11\n ) && (coll18.filter({(tuple69: (Coll[Byte], Long)) => func10(tuple69._1) && (tuple69._2 == placeholder[Long](75)) }).size == placeholder[Int](76))\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8bae022df83909044db96446896813f95c4777de99af8ba91b2b99360e37c27f",
"index": 0,
"amount": 1,
"name": "TNFTV5",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "096989ca87a165930c3a6f0c4ddf98319bd480bb948d906826a1a9a6eef29328",
"index": 1,
"amount": 200000000000,
"name": "TTT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0702afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "SGroupElement",
"renderedValue": "02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R5": {
"serializedValue": "0580cab5ee01",
"sigmaType": "SLong",
"renderedValue": "250000000"
},
"R6": {
"serializedValue": "0e240008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
}
}
},
{
"boxId": "3a4192823842d6a5ac3c4d9b02362f781616efecea865015a5e64c64f4fc5f4c",
"value": 247000000,
"index": 1,
"spendingProof": "f61b0337d67f6caada8ef3abf9a3719d1de488ce25504960eba68cdead36e96404e9be1097a57ce9fb0246f5522180457ef549a0cef86504",
"outputBlockId": "a13215ed1355b18f5c21da6ace6ea33833d1124807513a50ca5d56b18c1cddd5",
"outputTransactionId": "77af5c2c93479cb08005815de2bc51469be4d6f0fa65cc2b706e74070d384bcf",
"outputIndex": 1,
"outputGlobalIndex": 53298743,
"outputCreatedAt": 1711690,
"outputSettledAt": 1711692,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "a534ffa8952ef32ac5becc9cf1eac3692c8bb3a2349053ab34a42097f7e3343f",
"transactionId": "a6ddfd56a253255ee892cb60f421e374480b0cc7351da5cd0bb8773c50c7fe5a",
"blockId": "68ad5ed7e102752ec8eb0d0e32acab8dc6443484a14460d17dd3b4fb77cf649b",
"value": 10000000,
"index": 0,
"globalIndex": 53299423,
"creationHeight": 1711709,
"settlementHeight": 1711710,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-125,73,-6,-108,103,10,27,-39,82,70,-125,-118,-105,49,105,-61,71,-75,125,113,-53,110,-12,-116,22,-29,111,-104,-40,44,94,-97)\n2: Coll(-75,-79,14,113,114,50,-72,-30,16,83,124,64,-109,-18,-108,33,-43,-83,-89,-113,-32,93,95,-1,-15,-41,-75,-95,-108,72,67,8)\n3: Coll(98,-103,-19,20,-108,-4,-30,17,14,99,-84,33,-4,-17,101,101,119,74,4,-124,-66,-60,-47,-5,15,67,6,92,-103,70,107,114)\n4: Coll(45,24,-5,-46,-20,-19,48,42,63,-66,-110,25,67,-34,113,33,-56,52,2,102,-32,49,107,122,52,5,-43,-86,-103,-70,-72,-94)\n5: Coll(-117,-82,2,45,-8,57,9,4,77,-71,100,70,-119,104,19,-7,92,71,119,-34,-103,-81,-117,-87,27,43,-103,54,14,55,-62,127)\n6: 1\n7: 1\n8: Coll(2,96,121,-22,122,-107,-60,-6,-13,-84,40,-98,67,88,69,73,108,-103,0,80,-73,24,-63,57,-59,-77,-101,101,-60,-100,84,-87)\n9: Coll(72,-81,-58,48,79,17,66,-80,124,30,119,10,123,101,109,116,-18,87,-20,126,74,104,121,20,-87,101,-121,85,-89,7,-42,102)\n10: Coll(9,105,-119,-54,-121,-95,101,-109,12,58,111,12,77,-33,-104,49,-101,-44,-128,-69,-108,-115,-112,104,38,-95,-87,-90,-18,-14,-109,40)\n11: true\n12: 0\n13: -1\n14: 0\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 10\n33: false\n34: false\n35: false\n36: false\n37: false\n38: false\n39: 720\n40: 0\n41: 0\n42: 0\n43: 310\n44: 0\n45: 0\n46: 0\n47: 0\n48: 310\n49: 0\n50: 0\n51: 0\n52: true\n53: 0\n54: true\n55: 1\n56: 0\n57: 1\n58: 0\n59: 1\n60: 0\n61: 1\n62: 0\n63: 1\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: -1\n72: 0\n73: 3600\n74: 0\n75: 1\n76: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.propositionBytes\n val coll3 = SELF.propositionBytes\n val coll4 = SELF.tokens\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = placeholder[Coll[Byte]](2)\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = placeholder[Coll[Byte]](4)\n val coll9 = placeholder[Coll[Byte]](5)\n val func10 = {(coll10: Coll[Byte]) => ((((coll10 == coll5) || (coll10 == coll6)) || (coll10 == coll7)) || (coll10 == coll8)) || (coll10 == coll9) }\n val bool11 = coll4.filter({(tuple11: (Coll[Byte], Long)) => func10(tuple11._1) && (tuple11._2 == placeholder[Long](6)) }).size == placeholder[Int](7)\n val bool12 = box1.value == SELF.value\n val coll13 = placeholder[Coll[Byte]](8)\n val coll14 = placeholder[Coll[Byte]](9)\n val coll15 = placeholder[Coll[Byte]](10)\n val coll16 = Coll[Coll[Byte]](coll13, coll14, coll15, coll5, coll6, coll7, coll8, coll9)\n val bool17 = coll4.forall({(tuple17: (Coll[Byte], Long)) => coll16.exists({(coll19: Coll[Byte]) => coll19 == tuple17._1 }) })\n val coll18 = box1.tokens\n val bool19 = coll18.forall({(tuple19: (Coll[Byte], Long)) => coll16.exists({(coll21: Coll[Byte]) => coll21 == tuple19._1 }) })\n val coll20 = SELF.R6[Coll[Byte]].get\n val bool21 = ((((((coll2 == coll3) && bool11) && bool12) && bool17) && bool19) && coll4.forall({(tuple21: (Coll[Byte], Long)) =>\n val coll23 = tuple21._1\n if (Coll[Coll[Byte]](coll13, coll14, coll15).exists({(coll24: Coll[Byte]) => coll24 == coll23 })) { placeholder[Boolean](11) } else { coll18.exists({(tuple24: (Coll[Byte], Long)) => (tuple24._1 == coll23) && (tuple24._2 == tuple21._2) }) }\n })) && (coll20.size > placeholder[Int](12))\n val ge22 = box1.R4[GroupElement].get\n val ge23 = SELF.R4[GroupElement].get\n val bool24 = ge22 == ge23\n val l25 = box1.R5[Long].get\n val l26 = SELF.R5[Long].get\n val coll27 = box1.R6[Coll[Byte]].get\n val l28 = box1.R7[Long].get\n val l29 = SELF.R7[Long].get\n val opt30 = SELF.R8[Coll[Byte]]\n val bool31 = opt30.isDefined\n val opt32 = box1.R8[Coll[Byte]]\n val opt33 = SELF.R9[Long]\n val bool34 = opt33.isDefined\n val opt35 = box1.R9[Long]\n val bool36 = !(l29 == placeholder[Long](13))\n val coll37 = coll18.filter({(tuple37: (Coll[Byte], Long)) => tuple37._1 == coll15 })\n val l38 = if (coll37.size > placeholder[Int](14)) { coll37(placeholder[Int](15))._2 } else { placeholder[Long](16) }\n val coll39 = coll4.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll15 })\n val l40 = if (coll39.size > placeholder[Int](17)) { coll39(placeholder[Int](18))._2 } else { placeholder[Long](19) }\n val l41 = l38 - l40\n val coll42 = coll18.filter({(tuple42: (Coll[Byte], Long)) => tuple42._1 == coll13 })\n val l43 = if (coll42.size > placeholder[Int](20)) { coll42(placeholder[Int](21))._2 } else { placeholder[Long](22) }\n val coll44 = coll4.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll13 })\n val l45 = if (coll44.size > placeholder[Int](23)) { coll44(placeholder[Int](24))._2 } else { placeholder[Long](25) }\n val l46 = l43 - l45\n val coll47 = coll18.filter({(tuple47: (Coll[Byte], Long)) => tuple47._1 == coll14 })\n val l48 = if (coll47.size > placeholder[Int](26)) { coll47(placeholder[Int](27))._2 } else { placeholder[Long](28) }\n val coll49 = coll4.filter({(tuple49: (Coll[Byte], Long)) => tuple49._1 == coll14 })\n val l50 = if (coll49.size > placeholder[Int](29)) { coll49(placeholder[Int](30))._2 } else { placeholder[Long](31) }\n val l51 = l48 - l50\n val l52 = l46 * placeholder[Long](32) + l51\n val bool53 = OUTPUTS.exists({(box53: Box) => (box53.propositionBytes == coll20) && (box53.value == l26) })\n val bool54 = getVar[Boolean](1.toByte).getOrElse(placeholder[Boolean](33))\n val bool55 = getVar[Boolean](2.toByte).getOrElse(placeholder[Boolean](34))\n val bool56 = getVar[Boolean](4.toByte).getOrElse(placeholder[Boolean](35))\n val bool57 = getVar[Boolean](5.toByte).getOrElse(placeholder[Boolean](36))\n val bool58 = getVar[Boolean](6.toByte).getOrElse(placeholder[Boolean](37))\n val bool59 = getVar[Boolean](7.toByte).getOrElse(placeholder[Boolean](38))\n val bool60 = l25 == l26\n val bool61 = coll27 == coll20\n val bool62 = l28 == l29\n val bool63 = if (bool31) { opt32.isDefined && (opt32.get == opt30.get) } else { !opt32.isDefined }\n val bool64 = if (bool34) { opt35.isDefined && (opt35.get == opt33.get) } else { !opt35.isDefined }\n val opt65 = getVar[GroupElement](8.toByte)\n val l66 = HEIGHT.toLong\n val l67 = l66 + placeholder[Long](39)\n val bool68 = l28 == placeholder[Long](40)\n sigmaProp(\n (\n bool21 && (\n (\n (((bool24 && (l25 == l26)) && (coll27 == coll20)) && (l28 == l29)) && if (bool31) { opt32.isDefined && (opt32.get == opt30.get) } else {\n !opt32.isDefined\n }\n ) && if (bool34) { opt35.isDefined && (opt35.get == opt33.get) } else { !opt35.isDefined }\n )\n ) && (\n (\n (\n (\n (((bool36 && (l52 > placeholder[Long](41))) && (l41 < placeholder[Long](42))) && (l52 >= !l41 * placeholder[Long](43))) && (\n l46 >= placeholder[Long](44)\n )\n ) && (l51 >= placeholder[Long](45))\n ) && bool53\n ) || (\n (\n (\n (\n (\n (((bool36 && (l41 > placeholder[Long](46))) && (l52 < placeholder[Long](47))) && (!l52 == l41 * placeholder[Long](48))) && (\n l46 <= placeholder[Long](49)\n )\n ) && (l51 <= placeholder[Long](50))\n ) && if (l46 < placeholder[Long](51)) { !l46 <= l45 } else { placeholder[Boolean](52) }\n ) && if (l51 < placeholder[Long](53)) { !l51 <= l50 } else { placeholder[Boolean](54) }\n ) && bool53\n )\n )\n ) || proveDlog(ge23) && sigmaProp(\n (\n (bool21 && (((l43 >= l45) && (l48 >= l50)) && (l38 >= l40))) && (\n (\n if (bool54) { placeholder[Int](55) } else { placeholder[Int](56) } + if (bool55) { placeholder[Int](57) } else {\n placeholder[Int](58)\n } + if (bool56) { placeholder[Int](59) } else { placeholder[Int](60) } + if (bool57) { placeholder[Int](61) } else {\n placeholder[Int](62)\n } + if (bool58) { placeholder[Int](63) } else { placeholder[Int](64) } + if (bool59) { placeholder[Int](65) } else {\n placeholder[Int](66)\n } <= placeholder[Int](67)\n ) && (\n (\n (\n (\n (\n (\n (\n ((((((!bool54) && (!bool55)) && (!bool56)) && (!bool57)) && (!bool58)) && (!bool59)) && (\n ((((bool24 && bool60) && bool61) && bool62) && bool63) && bool64\n )\n ) || (\n (\n ((((((bool54 && bool60) && bool61) && bool62) && bool63) && bool64) && opt65.isDefined) && (\n opt65.get.getEncoded.size > placeholder[Int](68)\n )\n ) && (ge22 == opt65.get)\n )\n ) || (((((bool55 && bool24) && bool61) && bool62) && bool63) && bool64)\n ) || (((((((bool56 && (l29 == placeholder[Long](69))) && (l28 == l67)) && bool24) && bool60) && bool61) && bool63) && bool64)\n ) || (\n (\n ((((((bool58 && (l29 > placeholder[Long](70))) && (l66 > l29)) && (l28 == placeholder[Long](71))) && bool24) && bool60) && bool61) && bool63\n ) && bool64\n )\n ) || (((((((bool59 && (l29 != placeholder[Long](72))) && bool68) && bool24) && bool60) && bool61) && bool63) && bool64)\n ) || (\n (\n (((((((bool57 && ((!bool31) && (!bool34))) && bool24) && bool60) && bool61) && bool62) && opt32.isDefined) && opt35.isDefined) && (\n opt35.get >= l67\n )\n ) && (opt35.get <= l66 + placeholder[Long](73))\n )\n )\n )\n ) || (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool31 && bool34) && (bool34 && (l66 > opt33.get))) && (bool31 && (blake2b256(coll2) == opt30.get))) && (coll2 != coll3)) && bool12\n ) && coll4.forall(\n {(tuple69: (Coll[Byte], Long)) =>\n coll18.exists({(tuple71: (Coll[Byte], Long)) => (tuple71._1 == tuple69._1) && (tuple71._2 == tuple69._2) })\n }\n )\n ) && bool17\n ) && bool19\n ) && bool24\n ) && bool60\n ) && (bool61 && (coll27.size > placeholder[Int](74)))\n ) && bool68\n ) && bool11\n ) && (coll18.filter({(tuple69: (Coll[Byte], Long)) => func10(tuple69._1) && (tuple69._2 == placeholder[Long](75)) }).size == placeholder[Int](76))\n )\n )\n}",
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"assets": [
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"additionalRegisters": {
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"sigmaType": "SGroupElement",
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"sigmaType": "SLong",
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},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
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"R7": {
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"sigmaType": "SLong",
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}
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{
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"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
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{
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}
],
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}