Transaction
ID: 5b5103ef4f...221f
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.25188 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.107 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.14888 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 968,370
Total coins transferred: 0.25888 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000672 ERG
Raw Transaction Data
{
"id": "5b5103ef4f209d6336724f5af16e6d2e9931a2d8cf93ab7599d29012f2cf221f",
"blockId": "c4e7346ee8bb0f564c7dec1aac9e256afb0cf1a59f8cba33e16e6f8fa2e48529",
"inclusionHeight": 808200,
"timestamp": 1659596763018,
"index": 13,
"globalIndex": 3681719,
"numConfirmations": 968370,
"inputs": [
{
"boxId": "464fb1b6f2f483fd8e70dbb437cf55052f9055b3b1b583931c8dc079e9be4e6c",
"value": 7000000,
"index": 0,
"spendingProof": "62c387d147c34b50acf7633573bdbb6022aa94a66afaa03338779518b63a8948add257a623fb71424f14a24a479ccbd941930cad868a708a",
"outputBlockId": "5203bef8739a1c4c10909866603676feecb3d8b980052371714d470682342803",
"outputTransactionId": "0b2096279f85f298a5de417f8838a0b9148969cfee481c6e1117b7c678759a0e",
"outputIndex": 0,
"outputGlobalIndex": 19828198,
"outputCreatedAt": 808194,
"outputSettledAt": 808197,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "4415e79ffeab3cd3905a4eb25d4eda6e23b45819503082e57df01093f9e04d9c",
"value": 251880000,
"index": 1,
"spendingProof": "d39ab9876e2ae5542f3b5becc0300856f85ddad32267e59cbc6fb46bd3da130540c0d2f16cc840d9e0fbdac7b26ac3ac44b2328dc03be3c1",
"outputBlockId": "08326149431212e4226ace41e33f048a091446875ec1a4d93bdd03c90bc44e59",
"outputTransactionId": "311ca3cdcffdfe3d1181a5f9e9b3ec337e953f885aa9af658c75d761ebab96d9",
"outputIndex": 1,
"outputGlobalIndex": 19828142,
"outputCreatedAt": 808189,
"outputSettledAt": 808193,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "70bc7e945db523e2e2c4328c710b8b6164f88ef57d94951db64e6dd7129ede39",
"value": 1000000,
"index": 0,
"outputBlockId": "08326149431212e4226ace41e33f048a091446875ec1a4d93bdd03c90bc44e59",
"outputTransactionId": "13274ad185268113d56fcbe523085eb4087e924e55eef8ea8bc1a23bec347133",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a",
"sigmaType": "Coll[SByte]",
"renderedValue": "77e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a"
},
"R5": {
"serializedValue": "0e20f76a63b34decf01608fb658c44d585f009c1e960eab738f623f28b2d17f20b53",
"sigmaType": "Coll[SByte]",
"renderedValue": "f76a63b34decf01608fb658c44d585f009c1e960eab738f623f28b2d17f20b53"
},
"R6": {
"serializedValue": "1104148092f4010206",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3]"
}
}
}
],
"outputs": [
{
"boxId": "db00bec2e4171f74f3dfe9ac114418738597b1e098476ba27ba9617047554992",
"transactionId": "5b5103ef4f209d6336724f5af16e6d2e9931a2d8cf93ab7599d29012f2cf221f",
"blockId": "c4e7346ee8bb0f564c7dec1aac9e256afb0cf1a59f8cba33e16e6f8fa2e48529",
"value": 107000000,
"index": 0,
"globalIndex": 19828313,
"creationHeight": 808198,
"settlementHeight": 808200,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
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"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "eed59761118920a8883a288c3966b290f889f6872233ced9f4bf9f68ca5a86d3",
"mainChain": true
},
{
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"transactionId": "5b5103ef4f209d6336724f5af16e6d2e9931a2d8cf93ab7599d29012f2cf221f",
"blockId": "c4e7346ee8bb0f564c7dec1aac9e256afb0cf1a59f8cba33e16e6f8fa2e48529",
"value": 1000000,
"index": 1,
"globalIndex": 19828314,
"creationHeight": 808198,
"settlementHeight": 808200,
"ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
"address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d8717cbc89f586f1046108d711a4f26dfadbdd11967395725c59c4feebaaf015",
"mainChain": true
},
{
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"transactionId": "5b5103ef4f209d6336724f5af16e6d2e9931a2d8cf93ab7599d29012f2cf221f",
"blockId": "c4e7346ee8bb0f564c7dec1aac9e256afb0cf1a59f8cba33e16e6f8fa2e48529",
"value": 148880000,
"index": 2,
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"creationHeight": 808198,
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"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "eed59761118920a8883a288c3966b290f889f6872233ced9f4bf9f68ca5a86d3",
"mainChain": true
},
{
"boxId": "cf4d22cf54a66cc459cde6683162702d38e030679dc11c5c851298a823ad3dad",
"transactionId": "5b5103ef4f209d6336724f5af16e6d2e9931a2d8cf93ab7599d29012f2cf221f",
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"value": 2000000,
"index": 3,
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"creationHeight": 808198,
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"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)}",
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"assets": [],
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"spentTransactionId": "2d108f7a3d91eb83d5661cb174891dac97ce15aaf0fbe05e4b0b4b827d208984",
"mainChain": true
}
],
"size": 2978,
"isUnconfirmed": false
}