Transaction
ID: f640ebd52e...714a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 565,098
Total coins transferred: 0.0046 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000093 ERG
Raw Transaction Data
{
"id": "f640ebd52e95982a736f17ca54c9d1728298869d7b71067d61e20a01764a714a",
"blockId": "a47d382e7e638a69829ce5efa35c334e772e5cf1d73eedb8918ee23de38a92c1",
"inclusionHeight": 1202479,
"timestamp": 1708215915891,
"index": 5,
"globalIndex": 6647137,
"numConfirmations": 565098,
"inputs": [
{
"boxId": "b8ab55d559fc0d4bb15cd818eb3f6f93330b5c4e0c214f3a8eb8e7fe05037d74",
"value": 1000000,
"index": 0,
"spendingProof": "fa75387dd7fdadeede92f491a0c86d72e3ba28b916a65ce6768ea6eeebfe856f77e3b55250c97a34345e88b6b69bd955cf6b03fa0802ceec",
"outputBlockId": "a47d382e7e638a69829ce5efa35c334e772e5cf1d73eedb8918ee23de38a92c1",
"outputTransactionId": "20adccb8879b3365d13c08922fe051f285f6398947b21f8d5b5eb8b39b83c050",
"outputIndex": 0,
"outputGlobalIndex": 36986913,
"outputCreatedAt": 1202477,
"outputSettledAt": 1202479,
"ergoTree": "100d04000e200f847ad33e30f3c7e38011fd6a9e7ab6ee0c0885033469fd63cf961342b9157f010005020402040005ffe5a9640400040004000502040008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98bd802d601b2a5730000d6027301ea02d1ed93c27201e4e3000e957302d802d603860272027303d604b2a57304009683050193b2db63087201730500720393c17204730693c27204e4e3010e93b2db630872047307007203938cb2db6308a77308000172029683020193b2db6308720173090086027202730a938cb2db6308a7730b00017202730c",
"ergoTreeConstants": "0: 0\n1: Coll(15,-124,122,-45,62,48,-13,-57,-29,-128,17,-3,106,-98,122,-74,-18,12,8,-123,3,52,105,-3,99,-49,-106,19,66,-71,21,127)\n2: false\n3: 1\n4: 1\n5: 0\n6: -105200000\n7: 0\n8: 0\n9: 0\n10: 1\n11: 0\n12: SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n sigmaProp((box1.propositionBytes == getVar[Coll[Byte]](0.toByte).get) && if (placeholder[Boolean](2)) {(\n val tuple3 = (coll2, placeholder[Long](3))\n val box4 = OUTPUTS(placeholder[Int](4))\n allOf(Coll[Boolean](box1.tokens(placeholder[Int](5)) == tuple3, box4.value == placeholder[Long](6), box4.propositionBytes == getVar[Coll[Byte]](1.toByte).get, box4.tokens(placeholder[Int](7)) == tuple3, SELF.tokens(placeholder[Int](8))._1 == coll2))\n )} else { allOf(Coll[Boolean](box1.tokens(placeholder[Int](9)) == (coll2, placeholder[Long](10)), SELF.tokens(placeholder[Int](11))._1 == coll2)) }) && placeholder[\n SigmaProp\n ](12)\n}",
"address": "3JX1r4CvFaQdFhGTnjzenrn6yY6dwYwFXMvoJr3ykS3ZMtxX2qk5KHzJkL7dooYSPw1jF6pzCQVoZ4vW1aZ5Wy1jvuv8z9V8sJMkirda6NfJDpYQcy2cL2y8xj5r6nEP3JsfwuwVcpcXkzZTEmuFc4znA8BH8286k5sPe77sxywZ7sfcBrVt6rLLq5uXLSShkUsvrh1mLGNgetcmqYXeCgsS2gkqRSHzhkmFLxHsVoUC9Yf316a2S17Di8YvPYxiXTN5KEYNdwUqjs4ezPHrdkXEsyGQV8sZBnU8TCK2xWdQX7qk58ZTgydLE1strmB4QJ",
"assets": [
{
"tokenId": "0f847ad33e30f3c7e38011fd6a9e7ab6ee0c0885033469fd63cf961342b9157f",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e13537461746520426f782053696e676c65746f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "537461746520426f782053696e676c65746f6e"
},
"R5": {
"serializedValue": "0e13537461746520426f782053696e676c65746f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "537461746520426f782053696e676c65746f6e"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "08620c1ba80b69c86d6c6366ff77d77baec97dacaf2de701371208eaf50bd5c7",
"value": 3600000,
"index": 1,
"spendingProof": "f2df0142e7908518752f1a413334f7340caabd64f3d27e57ab6169d6137122fd4edf11cc5b04078f0791d8a86b7ae6873a8fd013faa34664",
"outputBlockId": "a47d382e7e638a69829ce5efa35c334e772e5cf1d73eedb8918ee23de38a92c1",
"outputTransactionId": "fd01eb8b6a90a319df35bdcd550125a8a02080e87d47f4ea4ca879c227e4ea8e",
"outputIndex": 0,
"outputGlobalIndex": 36986915,
"outputCreatedAt": 1202477,
"outputSettledAt": 1202479,
"ergoTree": "100404000402040008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98bd803d601b2a5730000d602e4e30163d603c57202ea02d1ed93c27201e4e3000eed93b2db6308720173010086027203e4c672020905938cb2db6308a77302000172037303",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = getVar[Box](1.toByte).get\n val coll3 = box2.id\n sigmaProp(\n (box1.propositionBytes == getVar[Coll[Byte]](0.toByte).get) && (\n (box1.tokens(placeholder[Int](1)) == (coll3, box2.R9[Long].get)) && (SELF.tokens(placeholder[Int](2))._1 == coll3)\n )\n ) && placeholder[SigmaProp](3)\n}",
"address": "4mEKcvdShqCmTa6PJnUshJGDri9a2qcyaTdPTipYWv23JvJta8ED175vWjxammimKoHsm3bx3Ca9EqMdzUCgoqDqtvhpQSntGBERYyMGUWcPQTB71336pCHVQ6cGgoj28HrX5B8SCC3r6phPj5aC2mcEA32x8o",
"assets": [
{
"tokenId": "09fe0a68151c238bee4ecce065ef29ca1c896fdd64284c0a51e80ce0c5b30b33",
"index": 0,
"amount": 5000,
"name": "Rosen Trolls",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0c526f73656e2054726f6c6c73",
"sigmaType": "Coll[SByte]",
"renderedValue": "526f73656e2054726f6c6c73"
},
"R5": {
"serializedValue": "0e53426577617265206f66207468652054726f6c6c7320756e6465722074686520526f73656e204272696467652e204d696e746564206f6e204572676f20616e642043617264616e6f20426c6f636b636861696e73",
"sigmaType": "Coll[SByte]",
"renderedValue": "426577617265206f66207468652054726f6c6c7320756e6465722074686520526f73656e204272696467652e204d696e746564206f6e204572676f20616e642043617264616e6f20426c6f636b636861696e73"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "0e020104",
"sigmaType": "Coll[SByte]",
"renderedValue": "0104"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "23df94a8c56e6b482704fabb6c010256c887d508045d49bf6c2bb6f30fef3a54",
"transactionId": "f640ebd52e95982a736f17ca54c9d1728298869d7b71067d61e20a01764a714a",
"blockId": "a47d382e7e638a69829ce5efa35c334e772e5cf1d73eedb8918ee23de38a92c1",
"value": 3600000,
"index": 0,
"globalIndex": 36986917,
"creationHeight": 1202477,
"settlementHeight": 1202479,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(9,-2,10,104,21,28,35,-117,-18,78,-52,-32,101,-17,41,-54,28,-119,111,-35,100,40,76,10,81,-24,12,-32,-59,-77,11,51)\n4: Coll(15,-124,122,-45,62,48,-13,-57,-29,-128,17,-3,106,-98,122,-74,-18,12,8,-123,3,52,105,-3,99,-49,-106,19,66,-71,21,127)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(f8b3c8,3fe7b0,...)))\n8: 2\n9: 1\n10: true\n11: 4\n12: 0\n13: 0\n14: 2\n15: 4\n16: 6\n17: 1\n18: -1\n19: 1\n20: 1\n21: 0\n22: Coll(127,0,15,-70,-11,95,-85,126)\n23: 1\n24: 0\n25: 1\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: Coll(16,12,4,0,4,0,4,0,4,0,5,0,5,0,4,0,1,1,14,32,-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117,5,0,5,0,5,-128,-88,-61,1,-40,2,-42,1,-37,99,8,-78,-92,115,0,0,-42,2,-28,-58,-89,4,8,-107,-19,-111,-79,114,1,115,1,-109,-116,-78,114,1,115,2,0,1,-28,-58,-89)\n37: 2600000\n38: Coll(16,8,4,0,5,-128,-88,-61,1,4,0,5,2,4,0,14,1,48,4,2,5,-128,-88,-61,1,-40,7,-42,1,-78,-91,115,0,0,-42,2,-28,-58,-89,9,68,5,-42,3,-28,-58,114,1,4,14,-42,4,-28,-58,114,1,5,14,-42,5,-28,-58,114,1,7,14,-42,6,-28,-58,114,1,8,14,-42,7,-28,-58,114,1,9,14,-47,-106,-125,2,1,-106,-125,4,1,-109,-63,114,1,-103,-63,-89,115,1)\n39: 0\n40: 1\n41: 2\n42: 0\n43: Coll(-12,-127,105,59,-45,56,-11,-51,-63,33,-99,103,-71,-98,-36,-11,18,-20,-14,53,103,-40,-55,-6,-30,14,118,34,55,56,-123,-92)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 106200000\n51: 1000000\n52: 0\n53: 1\n54: 106200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 106200000\n67: 1000000\n68: 0\n69: -1\n70: 106200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 2105200000\n82: 2000000000\n83: 2105200000\n84: 2\n85: 1\n86: 5\n87: 4\n88: 1600000\n89: 2\n90: 1\n91: 6\n92: 5\n93: 1000000\n94: false\n95: 1\n96: 106200000\n97: 1000000\n98: 0\n99: 1\n100: 106200000\n101: 2\n102: 1\n103: 5\n104: 4\n105: 1600000\n106: 2\n107: 1\n108: 6\n109: 5\n110: 1000000\n111: 1\n112: -1\n113: 106200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 106200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 2105200000\n130: 2000000000\n131: 0\n132: 1\n133: 2105200000\n134: 2\n135: 1\n136: 5\n137: 4\n138: 1600000\n139: 2\n140: 1\n141: 6\n142: 5\n143: 1000000\n144: false\n145: false\n146: false\n147: 100000000\n148: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n149: 0\n150: 1600000\n151: 1000000\n152: 0\n153: 0\n154: 1\n155: 0\n156: 0\n157: 0\n158: 1\n159: 1600000\n160: 2\n161: 1000000\n162: false",
"ergoTreeScript": "{\n val tuple1 = SELF.R7[(Long, Long)].get\n val l2 = CONTEXT.headers(placeholder[Int](0)).timestamp\n val bool3 = tuple1._1 <= l2\n val coll4 = SELF.R8[Coll[Boolean]].get\n val bool5 = coll4(placeholder[Int](1))\n val bool6 = coll4(placeholder[Int](2))\n val l7 = tuple1._2\n val coll8 = placeholder[Coll[Byte]](3)\n val coll9 = placeholder[Coll[Byte]](4)\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](5))\n val bool12 = coll4(placeholder[Int](6))\n val prop13 = placeholder[SigmaProp](7)\n val func14 = {(bool14: Boolean) =>\n if (bool14 || (INPUTS(placeholder[Int](8)).R5[Long].get == placeholder[Long](9))) { placeholder[Boolean](10) } else {\n OUTPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == SELF.tokens(placeholder[Int](13))._1\n }\n }\n val coll15 = coll10(placeholder[Int](14))\n val bool16 = coll4(placeholder[Int](15))\n val bool17 = coll4(placeholder[Int](16))\n val coll18 = coll10(placeholder[Int](17))\n if ((bool3 || bool5) || bool6) { if ((l7 > l2) || (l7 == placeholder[Long](18))) {(\n val box19 = getVar[Box](1.toByte).get\n val l20 = SELF.R6[Long].get\n val l21 = l20 + placeholder[Long](19)\n val l22 = box19.R9[Long].get\n val box23 = INPUTS(placeholder[Int](20))\n val box24 = OUTPUTS(placeholder[Int](21))\n val tuple25 = box24.R6[(Coll[(Coll[Byte], Coll[Byte])], (Coll[(Coll[Byte], (Int, Int))], Coll[(Coll[Byte], (Int, Int))]))].get\n val tuple26 = tuple25._2\n val coll27 = placeholder[Coll[Byte]](22)\n val avlTree28 = SELF.R5[AvlTree].get\n val bool29 = l21 == l22\n val box30 = OUTPUTS(placeholder[Int](23))\n val bool31 = if (!bool29) {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](24))\n val coll33 = SELF.tokens\n val tuple34 = coll31(placeholder[Int](25))\n val tuple35 = coll33(placeholder[Int](26))\n allOf(Coll[Boolean](tuple32 == (coll33(placeholder[Int](27))._1, placeholder[Long](28)), tuple32._1 == coll9, tuple34 == (tuple35._1, tuple35._2 - placeholder[Long](29)), tuple34._1 == coll8))\n )} else {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](30))\n allOf(Coll[Boolean](tuple32 == (SELF.tokens(placeholder[Int](31))._1, placeholder[Long](32)), tuple32._1 == coll9, coll31.size == placeholder[Int](33)))\n )}\n val box32 = OUTPUTS(placeholder[Int](34))\n val box33 = OUTPUTS(placeholder[Int](35))\n sigmaProp(allOf(Coll[Boolean](box19.id == coll8, l21 <= l22, box23.propositionBytes == placeholder[Coll[Byte]](36), allOf(Coll[Boolean](box24.value == placeholder[Long](37), box24.propositionBytes == placeholder[Coll[Byte]](38), box24.tokens(placeholder[Int](39)) == (coll8, placeholder[Long](40)), box24.R4[Int].get == placeholder[Int](41), blake2b256(box24.R5[Coll[(Coll[Byte], Int)]].get.fold(longToByteArray(placeholder[Long](42)), {(tuple34: (Coll[Byte], (Coll[Byte], Int))) =>\n val tuple36 = tuple34._2\n tuple34._1.append(tuple36._1).append(longToByteArray(tuple36._2.toLong))\n })) == placeholder[Coll[Byte]](43), blake2b256(tuple26._2.fold(tuple26._1.fold(tuple25._1.fold(if (box24.R8[Coll[(Coll[Byte], Coll[Byte])]].get(placeholder[Int](44))._2(placeholder[Int](45)).toInt == placeholder[Int](46)) { longToByteArray(placeholder[Long](47)) } else { longToByteArray(placeholder[Long](48)) }, {(tuple34: (Coll[Byte], (Coll[Byte], Coll[Byte]))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val coll38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(coll38.size.toLong)).append(coll38)\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n })) == blake2b256(avlTree28.get(blake2b256(longToByteArray(l20)), getVar[Coll[Byte]](0.toByte).get).get), box24.R7[Coll[Byte]].get == coll8, box24.R9[(SigmaProp, Long)].get == (box23.R4[SigmaProp].get, l20))), if (bool29) { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21)) } else { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21, box30.R7[(Long, Long)].get == tuple1, box30.R8[Coll[Boolean]].get == coll4, box30.R9[Coll[Coll[Byte]]].get == coll10)) }, if (bool3) { if (bool12 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](49)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](50)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](51), box32.tokens(placeholder[Int](52)) == (coll11, placeholder[Long](53)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](54)), if (bool35 && (INPUTS(placeholder[Int](55)).R5[Long].get > placeholder[Long](56))) { OUTPUTS(placeholder[Int](57)) } else { OUTPUTS(placeholder[Int](58)) }.value == placeholder[Long](59), if (bool35 && (INPUTS(placeholder[Int](60)).R5[Long].get > placeholder[Long](61))) { OUTPUTS(placeholder[Int](62)) } else { OUTPUTS(placeholder[Int](63)) }.value >= placeholder[Long](64)))\n )} else { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](65)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](66)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](67), box32.propositionBytes == prop13.propBytes, box32.tokens(placeholder[Int](68)) == (coll15, placeholder[Long](69)))), func14(l34 >= placeholder[Long](70)), if (bool35 && (INPUTS(placeholder[Int](71)).R5[Long].get > placeholder[Long](72))) { OUTPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }.value == placeholder[Long](75), if (bool35 && (INPUTS(placeholder[Int](76)).R5[Long].get > placeholder[Long](77))) { OUTPUTS(placeholder[Int](78)) } else { OUTPUTS(placeholder[Int](79)) }.value >= placeholder[Long](80)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](81)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](82), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](83)), if (bool35 && (INPUTS(placeholder[Int](84)).R5[Long].get > placeholder[Long](85))) { OUTPUTS(placeholder[Int](86)) } else { OUTPUTS(placeholder[Int](87)) }.value == placeholder[Long](88), if (bool35 && (INPUTS(placeholder[Int](89)).R5[Long].get > placeholder[Long](90))) { OUTPUTS(placeholder[Int](91)) } else { OUTPUTS(placeholder[Int](92)) }.value >= placeholder[Long](93)))\n )} else { placeholder[Boolean](94) } } } } else { if (bool5 || (bool6 && bool12)) { if (bool6 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](95)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](96)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](97), box32.tokens(placeholder[Int](98)) == (coll11, placeholder[Long](99)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](100)), if (bool35 && (INPUTS(placeholder[Int](101)).R5[Long].get > placeholder[Long](102))) { OUTPUTS(placeholder[Int](103)) } else { OUTPUTS(placeholder[Int](104)) }.value == placeholder[Long](105), if (bool35 && (INPUTS(placeholder[Int](106)).R5[Long].get > placeholder[Long](107))) { OUTPUTS(placeholder[Int](108)) } else { OUTPUTS(placeholder[Int](109)) }.value >= placeholder[Long](110)))\n )} else { if (bool5 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll18, placeholder[Long](111)) })) { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](112)) })) {(\n val coll34 = box32.tokens\n val l35 = box23.value\n val bool36 = l35 < placeholder[Long](113)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll34(placeholder[Int](114)) == (coll18, placeholder[Long](115)), coll34(placeholder[Int](116)) == (coll15, placeholder[Long](117)), box32.propositionBytes == prop13.propBytes)), func14(l35 >= placeholder[Long](118)), if (bool36 && (INPUTS(placeholder[Int](119)).R5[Long].get > placeholder[Long](120))) { OUTPUTS(placeholder[Int](121)) } else { OUTPUTS(placeholder[Int](122)) }.value == placeholder[Long](123), if (bool36 && (INPUTS(placeholder[Int](124)).R5[Long].get > placeholder[Long](125))) { OUTPUTS(placeholder[Int](126)) } else { OUTPUTS(placeholder[Int](127)) }.value >= placeholder[Long](128)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](129)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](130), box32.tokens(placeholder[Int](131)) == (coll18, placeholder[Long](132)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](133)), if (bool35 && (INPUTS(placeholder[Int](134)).R5[Long].get > placeholder[Long](135))) { OUTPUTS(placeholder[Int](136)) } else { OUTPUTS(placeholder[Int](137)) }.value == placeholder[Long](138), if (bool35 && (INPUTS(placeholder[Int](139)).R5[Long].get > placeholder[Long](140))) { OUTPUTS(placeholder[Int](141)) } else { OUTPUTS(placeholder[Int](142)) }.value >= placeholder[Long](143)))\n )} else { placeholder[Boolean](144) } } } else { placeholder[Boolean](145) } } } else { placeholder[Boolean](146) } }, allOf(Coll[Boolean](box33.value == placeholder[Long](147), box33.propositionBytes == placeholder[SigmaProp](148).propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](149))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](150) - placeholder[Long](151), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](152))) {(\n val tuple20 = box19.tokens(placeholder[Int](153))\n val tuple21 = SELF.tokens(placeholder[Int](154))\n allOf(Coll[Boolean](tuple20 == tuple21, tuple20._1 == coll8, OUTPUTS.map({(box22: Box) => box22.tokens.map({(tuple24: (Coll[Byte], Long)) => tuple24._2 }).fold(placeholder[Long](155), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](156), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](157) }) })), OUTPUTS(placeholder[Int](158)).value == placeholder[Long](159), OUTPUTS(placeholder[Int](160)).value >= placeholder[Long](161))))\n )} } else { sigmaProp(placeholder[Boolean](162)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "0f847ad33e30f3c7e38011fd6a9e7ab6ee0c0885033469fd63cf961342b9157f",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "09fe0a68151c238bee4ecce065ef29ca1c896fdd64284c0a51e80ce0c5b30b33",
"index": 1,
"amount": 5000,
"name": "Rosen Trolls",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "647c6954f3cb0fae3a6655f19bb591446b78dc552c269e7570df00ecf398e23ebd0e072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R8": {
"serializedValue": "0d0740",
"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980f6c7b9b86301",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1708383600000,-1]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
},
"R4": {
"serializedValue": "6475654f80abbfc364e320a8052fd5633301e52310e3900bbdc944a62dacef214e0e072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "d64f8fce6629c10ab39368cac5e14d4e5000935ef287d18971d57ae5dd205185",
"mainChain": true
},
{
"boxId": "7a7db223c80627bdac0d018c77036129af8759eea3645c980c60626603bb5859",
"transactionId": "f640ebd52e95982a736f17ca54c9d1728298869d7b71067d61e20a01764a714a",
"blockId": "a47d382e7e638a69829ce5efa35c334e772e5cf1d73eedb8918ee23de38a92c1",
"value": 1000000,
"index": 1,
"globalIndex": 36986918,
"creationHeight": 1202477,
"settlementHeight": 1202479,
"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": "3f5dd05584ed5726cba73c54d4847cfb675964c4b62baa591ed76ee91195c32c",
"mainChain": true
}
],
"size": 10739,
"isUnconfirmed": false
}