Transaction
ID: ef5c69c156...bdf8
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: 670,657
Total coins transferred: 0.0046 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000095 ERG
Raw Transaction Data
{
"id": "ef5c69c156739ee73647604ec495dff0f51c5c53d336efc4b99dc1bb62dfbdf8",
"blockId": "68b7bf8c03197f0e0d47e666fa46f817675e3acce9d52ca29226795c804609bd",
"inclusionHeight": 1090202,
"timestamp": 1694619272103,
"index": 8,
"globalIndex": 5822231,
"numConfirmations": 670657,
"inputs": [
{
"boxId": "00ba2c38d3a4a8901b562bc7aecc09c0fe37230361f00aac917e785694327299",
"value": 1000000,
"index": 0,
"spendingProof": "8b9906977a8170678abb960f788a7365561f3b65cafb0a630d565c10cc9ebb48a6c1aa2da1d5306f1b775360fc1109978a0a66ae3d4899b4",
"outputBlockId": "facc556897b239a8d103cf1b24ea8ea4b3c7ae0bd675497c17b60538343c86cc",
"outputTransactionId": "d0c8de3b3dc5ece5bcd0c087b142dc6c5e8b517c394c3ed5f962ec93dbeb2727",
"outputIndex": 0,
"outputGlobalIndex": 32586459,
"outputCreatedAt": 1090198,
"outputSettledAt": 1090200,
"ergoTree": "100d04000e2012ec4f2754cce5fdfce7242b327f670b2570425c1bed72e00ecc67a42cf68c4b010005020402040005ff8edd090400040004000502040008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98bd802d601b2a5730000d6027301ea02d1ed93c27201e4e3000e957302d802d603860272027303d604b2a57304009683050193b2db63087201730500720393c17204730693c27204e4e3010e93b2db630872047307007203938cb2db6308a77308000172029683020193b2db6308720173090086027202730a938cb2db6308a7730b00017202730c",
"ergoTreeConstants": "0: 0\n1: Coll(18,-20,79,39,84,-52,-27,-3,-4,-25,36,43,50,127,103,11,37,112,66,92,27,-19,114,-32,14,-52,103,-92,44,-10,-116,75)\n2: false\n3: 1\n4: 1\n5: 0\n6: -10200000\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": "3JX1r4CvFafvsV2CxwdC8c9eggrMtxLpX9F3dHpV9UoixmrpXgdmm53BTTKis4wXLCxonVratqxqzreW37u5BxC8hMNe2KKCgRJHMz4USuD2URPBws3CAkRQ5dmhnB1My9LYim7Cp9bV8UocRvRkzK1YR7AGbX4VMkR2PDPZKHqf5L5qjAiweJZzB89Fas7ixYCrx3f8K3HHEF8FV8JfXgHayfM4rpt4MQMTUKMSWQLvVbjPgz3nKMyLQNfQddJ5mbCSZuBopnbraF9d7iXhAUG6JBt2DMMzsmnMJE9iD4Vj1q53bzekMuu5uZWUZnJgcX",
"assets": [
{
"tokenId": "12ec4f2754cce5fdfce7242b327f670b2570425c1bed72e00ecc67a42cf68c4b",
"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": "bf62f27902110a305c82ea29878ee9b23482112f924fd57507f7913925fb9a77",
"value": 3600000,
"index": 1,
"spendingProof": "61e5b780481956464eda1b8aaba3479cf7444de7ae29c55d600f9c1de95bb8135df228053a02f1d4b4fa260b47cbb8182f5d6507e78b874b",
"outputBlockId": "facc556897b239a8d103cf1b24ea8ea4b3c7ae0bd675497c17b60538343c86cc",
"outputTransactionId": "836c8eea8fd44ad3b9dd78ef271e9045e36de4d782db0bee842a9aaada227410",
"outputIndex": 0,
"outputGlobalIndex": 32586461,
"outputCreatedAt": 1090198,
"outputSettledAt": 1090200,
"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": "c8f9ab96fef304aaa37ec92cf076655925f8e1baf9b9e408b6bfef1e30cbc999",
"index": 0,
"amount": 4,
"name": "Pixel Test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0a506978656c2054657374",
"sigmaType": "Coll[SByte]",
"renderedValue": "506978656c2054657374"
},
"R5": {
"serializedValue": "0e16434f4c4c454354494f4e5f4445534352495054494f4e",
"sigmaType": "Coll[SByte]",
"renderedValue": "434f4c4c454354494f4e5f4445534352495054494f4e"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "0e020104",
"sigmaType": "Coll[SByte]",
"renderedValue": "0104"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9a37c4f92539da392d86bbd1c04f1d143964eef11d78a6be557bab6ca5820b8b",
"transactionId": "ef5c69c156739ee73647604ec495dff0f51c5c53d336efc4b99dc1bb62dfbdf8",
"blockId": "68b7bf8c03197f0e0d47e666fa46f817675e3acce9d52ca29226795c804609bd",
"value": 3600000,
"index": 0,
"globalIndex": 32586504,
"creationHeight": 1090198,
"settlementHeight": 1090202,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(-56,-7,-85,-106,-2,-13,4,-86,-93,126,-55,44,-16,118,101,89,37,-8,-31,-70,-7,-71,-28,8,-74,-65,-17,30,48,-53,-55,-103)\n4: Coll(18,-20,79,39,84,-52,-27,-3,-4,-25,36,43,50,127,103,11,37,112,66,92,27,-19,114,-32,14,-52,103,-92,44,-10,-116,75)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(678f34,25bfad,...)))\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(54,-88,88,10,16,-104,-105,-84,48,-54,18,54,55,-123,-126,-100,-68,-20,23,50,17,127,60,118,-117,99,-88,55,-38,-116,39,121)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 11200000\n51: 1000000\n52: 0\n53: 1\n54: 11200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 11200000\n67: 1000000\n68: 0\n69: -1\n70: 11200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 110200000\n82: 100000000\n83: 110200000\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: 11200000\n97: 1000000\n98: 0\n99: 1\n100: 11200000\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: 11200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 11200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 110200000\n130: 100000000\n131: 0\n132: 1\n133: 110200000\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: 5000000\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": "12ec4f2754cce5fdfce7242b327f670b2570425c1bed72e00ecc67a42cf68c4b",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c8f9ab96fef304aaa37ec92cf076655925f8e1baf9b9e408b6bfef1e30cbc999",
"index": 1,
"amount": 4,
"name": "Pixel Test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "641dc07c5987e29809f2cc741f6c50c280af165beef38ce3ab308346b3a95b303203072000",
"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": "59c0c5f3c8d16201",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1694575260000,-1]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
},
"R4": {
"serializedValue": "64836872ca53e2ca33a650b48460c503d9c3c0ebf616bb04be5a87cdb4998f340403072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "b70b9690a183dcb2b7645c6f3be9ca2cec75c204dfe6a02ad829de3661d6d4c5",
"mainChain": true
},
{
"boxId": "f48bc9a77c315a4a9d3b6a0d1285982aa2ab45a2c53fddd0ba9898bc916519bd",
"transactionId": "ef5c69c156739ee73647604ec495dff0f51c5c53d336efc4b99dc1bb62dfbdf8",
"blockId": "68b7bf8c03197f0e0d47e666fa46f817675e3acce9d52ca29226795c804609bd",
"value": 1000000,
"index": 1,
"globalIndex": 32586505,
"creationHeight": 1090198,
"settlementHeight": 1090202,
"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": "05224dd6b6790199ab914e24103f87231b17aba14ba2bfcd06f46fb1e2b0a9b5",
"mainChain": true
}
],
"size": 10561,
"isUnconfirmed": false
}