Transaction
ID: 478de36784...c9dd
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0788 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
2.52 ERG
Tokens:
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0096 ERG
Tokens:
1
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.59 ERG
Tokens:
Transaction Details
Confirmations: 21,421
Total coins transferred: 2.6 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000000691 ERG
Raw Transaction Data
{
"id": "478de367846408563376e4cd406c8964d774f8ff911f9a4a93a93e2e4e9cc9dd",
"blockId": "8b665caf4956ef667f6f025ec26e6234673336c8f9847cea6a14f19d8e0a70af",
"inclusionHeight": 1746381,
"timestamp": 1774052067779,
"index": 1,
"globalIndex": 10475749,
"numConfirmations": 21421,
"inputs": [
{
"boxId": "aa20c9d520fb12418b6e4024a0494faf76981d0fd4df9df4f6668d8b7a7d0300",
"value": 78800000,
"index": 0,
"spendingProof": "e9b160a4d0fb5eac5a71a1e6aac467138143a207e8f0e12bec0089d0b334c1ac49a1909a4ad7831ecf31fb27f98727ca50c7bba723429eec",
"outputBlockId": "42422080b7e392350139a8ec60e40f8911a5702ab02f72df4bec628c00c0f8a8",
"outputTransactionId": "cbf479a9789c752acf987bc3b009a5e23c8a54d89c0fa19b0f87a22868b75ce7",
"outputIndex": 0,
"outputGlobalIndex": 54250548,
"outputCreatedAt": 1746372,
"outputSettledAt": 1746374,
"ergoTree": "0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bda269,1a4560,...)))}",
"address": "9huKeYQbBnuGcndNCSbxUrRc2sRQNCvfyex8nMorKkEwLcQW4vd",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R6": {
"serializedValue": "0e0139",
"sigmaType": "Coll[SByte]",
"renderedValue": "39"
},
"R8": {
"serializedValue": "110b0002a09c01de95d50180b51880897a80c78c02220000d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,10000,1746287,200000,1000000,2200000,17,0,0,1000]"
},
"R7": {
"serializedValue": "0e20e117f42fed18f60d341cc56a580e7a2ba61ec73726eae17832de82042089e28b",
"sigmaType": "Coll[SByte]",
"renderedValue": "e117f42fed18f60d341cc56a580e7a2ba61ec73726eae17832de82042089e28b"
},
"R9": {
"serializedValue": "1a022103bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b240008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b,0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b]"
},
"R4": {
"serializedValue": "0e1754455354204552472043616c6c2049544d2024302e3230",
"sigmaType": "Coll[SByte]",
"renderedValue": "54455354204552472043616c6c2049544d2024302e3230"
}
}
},
{
"boxId": "4c15340415f35edbe7f3a245fe3462c757eabc0a443b3e36781d34788ac107f8",
"value": 1000000,
"index": 1,
"spendingProof": "50260610304cbf26b94b5dcbb4bb6b0ea753f04d0ba0b67f3af2ab18b70d58f6a4b52049f894aa6ca22a7d6208a7c3fa4058eecb3a8a00cc",
"outputBlockId": "42422080b7e392350139a8ec60e40f8911a5702ab02f72df4bec628c00c0f8a8",
"outputTransactionId": "b7cb582c24d8539a0fe8c02e3a56ac98d7cae48c41379f41a8047a025d96b329",
"outputIndex": 0,
"outputGlobalIndex": 54250550,
"outputCreatedAt": 1746372,
"outputSettledAt": 1746374,
"ergoTree": "0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bda269,1a4560,...)))}",
"address": "9huKeYQbBnuGcndNCSbxUrRc2sRQNCvfyex8nMorKkEwLcQW4vd",
"assets": [
{
"tokenId": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"index": 0,
"amount": 500,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"sigmaType": "Coll[SByte]",
"renderedValue": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669"
},
"R6": {
"serializedValue": "0e0133",
"sigmaType": "Coll[SByte]",
"renderedValue": "33"
},
"R8": {
"serializedValue": "110b000280897afa95d50180c8c38b820480897a80c78c020202a0c21ed00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,1000000,1746301,69000000000,1000000,2200000,1,1,250000,1000]"
},
"R7": {
"serializedValue": "0e20783113f4a02fc6e936baa30afddcbacf45d4810bdc0b31c3bb29dfe1335e54c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "783113f4a02fc6e936baa30afddcbacf45d4810bdc0b31c3bb29dfe1335e54c2"
},
"R9": {
"serializedValue": "1a022103bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b240008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b,0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b]"
},
"R4": {
"serializedValue": "0e16544553542042544320436173682049544d202436394b",
"sigmaType": "Coll[SByte]",
"renderedValue": "544553542042544320436173682049544d202436394b"
}
}
},
{
"boxId": "c3e5b7036c6ae09bdfc37e56448da9cdc2c46fb1dde1ffed6d6f151f795183ab",
"value": 2523200000,
"index": 2,
"spendingProof": "01f602fca95ae7fea5093e958c8e56cf4af0090094fde49e592ac5358b6aa0491eab0236b1c3ce807bced0b36c503a96ce0788fac9a6fad2",
"outputBlockId": "9d0bd9feb94f7f243e855f5f714a8ce4ee46b5c4f5672b7f091c36d03e86d2ce",
"outputTransactionId": "f60b961b6ba3aef7d41c5293f58e21b9164dbb2266f649f7ee170d9e086dbd21",
"outputIndex": 2,
"outputGlobalIndex": 54250609,
"outputCreatedAt": 1746374,
"outputSettledAt": 1746376,
"ergoTree": "0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bda269,1a4560,...)))}",
"address": "9huKeYQbBnuGcndNCSbxUrRc2sRQNCvfyex8nMorKkEwLcQW4vd",
"assets": [
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 0,
"amount": 30000000,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "f69a4cf51572a6c8e10766d727939900fcf9dfe6df09200f4d43e4e17855b51e",
"index": 1,
"amount": 2,
"name": "TEST BTC Cash ITM $69K",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 79,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"index": 3,
"amount": 13750,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "c8c2aa80ec380f7b3b5afcfa86d00b4adcfda04f0edbd8802f739d359cd0935d",
"transactionId": "478de367846408563376e4cd406c8964d774f8ff911f9a4a93a93e2e4e9cc9dd",
"blockId": "8b665caf4956ef667f6f025ec26e6234673336c8f9847cea6a14f19d8e0a70af",
"value": 9600000,
"index": 0,
"globalIndex": 54250884,
"creationHeight": 1746379,
"settlementHeight": 1746381,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 8\n5: 7\n6: Coll(-22,123,54,-30,-108,-79,-87,84,-88,7,82,-22,-62,-120,113,23,40,-27,-71,27,11,60,5,-106,84,-116,117,86,101,5,11,-120)\n7: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n8: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n9: 10\n10: 4\n11: 6\n12: 1000000\n13: false\n14: 5\n15: 0\n16: 0\n17: 1\n18: 2\n19: 9\n20: 1\n21: 1\n22: 1\n23: 0\n24: 3\n25: 5\n26: 1\n27: 0\n28: 0\n29: 1\n30: 2\n31: 1\n32: 3\n33: 0\n34: 1000000\n35: 0\n36: 0\n37: 0\n38: 17\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 1000\n45: 100\n46: 1000\n47: 0\n48: 100\n49: 0\n50: 2\n51: 0\n52: 17\n53: 1\n54: 2\n55: 17\n56: 0\n57: 17\n58: 1000000\n59: 0\n60: 3\n61: 2000000\n62: 1\n63: 1\n64: 1\n65: 1\n66: 2\n67: 1\n68: 1000000\n69: 0\n70: 1\n71: 2\n72: 1\n73: 0\n74: false\n75: 1\n76: 3\n77: 1000000\n78: 1\n79: 1000000\n80: 1\n81: 1\n82: false\n83: 0\n84: 0\n85: 0\n86: 0\n87: 0\n88: 1000000\n89: 1000000\n90: 0\n91: 0\n92: 1000\n93: 0\n94: 17\n95: 0\n96: 17\n97: 2\n98: 1\n99: 2\n100: 1\n101: 1\n102: 2\n103: 1\n104: false\n105: 1\n106: 0\n107: 1\n108: 0\n109: 0\n110: 0\n111: 0\n112: 1000000\n113: 1\n114: 0\n115: Coll(49,-126,103,79,7,-37,-71,-115,105,109,56,-19,-91,62,99,-21,59,-11,-2,87,15,113,-34,-24,94,-71,84,-42,-49,-112,59,-70)\n116: 0\n117: 0\n118: false\n119: 2\n120: false",
"ergoTreeScript": "{\n val coll1 = SELF.R9[Coll[Coll[Byte]]].get\n val prop2 = proveDlog(decodePoint(coll1(placeholder[Int](0))))\n val coll3 = SELF.tokens\n val tuple4 = (Coll[Byte](), placeholder[Long](1))\n val tuple5 = coll3.getOrElse(placeholder[Int](2), tuple4)\n val coll6 = tuple5._1\n val coll7 = SELF.R7[Coll[Byte]].get\n val bool8 = coll6 == coll7\n val bool9 = !bool8\n val box10 = OUTPUTS(placeholder[Int](3))\n val coll11 = box10.propositionBytes\n val coll12 = prop2.propBytes\n val coll13 = SELF.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](4))\n val l15 = coll13(placeholder[Int](5))\n val coll16 = placeholder[Coll[Byte]](6)\n val coll17 = placeholder[Coll[Byte]](7)\n val coll18 = placeholder[Coll[Byte]](8)\n val l19 = coll13(placeholder[Int](9))\n val l20 = coll13(placeholder[Int](10))\n val l21 = coll13(placeholder[Int](11))\n val l22 = l21 + placeholder[Long](12)\n val coll23 = SELF.R5[Coll[Byte]].get\n val bool24 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l22) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll23)) && (\n box10.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n )\n ) && (box10.R8[Coll[Long]].get == coll13)\n ) && (box10.R9[Coll[Coll[Byte]]].get == coll1)\n } else { placeholder[Boolean](13) }\n val coll25 = SELF.id\n val l26 = coll13(placeholder[Int](14))\n val coll27 = box10.tokens\n val tuple28 = coll27.getOrElse(placeholder[Int](15), tuple4)\n val coll29 = tuple28._1\n val l30 = coll13(placeholder[Int](16))\n val tuple31 = coll27.getOrElse(placeholder[Int](17), tuple4)\n val l32 = tuple5._2\n val l33 = coll13(placeholder[Int](18))\n val l34 = tuple28._2\n val coll35 = tuple31._1\n val l36 = coll13(placeholder[Int](19))\n val box37 = OUTPUTS(placeholder[Int](20))\n val coll38 = box37.tokens\n val bool39 = bool8 && (l32 == placeholder[Long](21))\n val tuple40 = coll3.getOrElse(placeholder[Int](22), tuple4)\n val tuple41 = coll38.getOrElse(placeholder[Int](23), tuple4)\n val l42 = HEIGHT.toLong\n val l43 = coll13(placeholder[Int](24))\n val l44 = l43 + placeholder[Long](25)\n val bool45 = if (coll13(placeholder[Int](26)) == placeholder[Long](27)) { (bool39 && (l42 >= l43)) && (l42 <= l44) } else { bool39 && (l42 <= l44) }\n val l46 = INPUTS.fold(placeholder[Long](28), {(tuple46: (Long, Box)) =>\n val box48 = tuple46._2\n val l49 = tuple46._1\n if (box48.id != coll25) { box48.tokens.fold(l49, {(tuple50: (Long, (Coll[Byte], Long))) =>\n val tuple52 = tuple50._2\n val l53 = tuple50._1\n if (tuple52._1 == coll7) { l53 + tuple52._2 } else { l53 }\n }) } else { l49 }\n })\n val bool47 = ((bool24 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll47 = coll29\n coll47 == coll6\n ) && (l34 == placeholder[Long](29))\n prop2 && sigmaProp((bool9 && (OUTPUTS.size == placeholder[Int](30))) && (coll11 == coll12)) || sigmaProp(\n (((if ((bool9 && (INPUTS.size == placeholder[Int](31))) && (OUTPUTS.size == placeholder[Int](32))) {(\n val bool48 = l14 == placeholder[Long](33)\n val l49 = l20 * l19 / placeholder[Long](34)\n val bool50 = l49 > placeholder[Long](35)\n ((((((((((if (bool48) {(\n val box51 = CONTEXT.dataInputs(placeholder[Int](36))\n val i52 = l15.toInt\n val l53 = box51.R5[Coll[Long]].get(i52)\n val bool54 = box51.tokens(placeholder[Int](37))._1 == coll16\n val coll55 = box51.R4[Coll[Coll[Byte]]].get(i52)\n if (l15 == placeholder[Long](38)) { bool54 && (l53 > placeholder[Long](39)) } else { ((bool54 && (coll55.size > placeholder[Int](40))) && (l53 > placeholder[Long](41))) && (coll3(placeholder[Int](42))._1 == coll55) }\n )} else {(\n val coll51 = coll3(placeholder[Int](43))._1\n (coll51 == coll17) || (coll51 == coll18)\n )} && if (bool48) { (l19 == placeholder[Long](44)) || (l19 == placeholder[Long](45)) } else { ((l19 == placeholder[Long](46)) && (coll3(placeholder[Int](47))._1 == coll17)) || ((l19 == placeholder[Long](48)) && (coll3(placeholder[Int](49))._1 == coll18)) }) && bool50) && bool24) && (box10.R7[Coll[Byte]].get == coll25)) && (box10.value == SELF.value - l21 - l26)) && (box10.value >= placeholder[Long](50) * l22)) && (coll29 == coll25)) && \n val bool51 = l30 == placeholder[Long](51)\n ((((((((bool51 && bool48) && (l15 != placeholder[Long](52))) && \n val coll52 = coll35\n coll52 == coll23\n ) && (tuple31 == tuple5)) && (l34 == l32 / l33 + placeholder[Long](53))) && (coll27.size == placeholder[Int](54))) || (((bool51 && bool48) && (l15 == placeholder[Long](55))) && \n val l52 = l33 * CONTEXT.dataInputs(placeholder[Int](56)).R5[Coll[Long]].get(placeholder[Int](57)) / placeholder[Long](58)\n val l53 = SELF.value\n (((l52 > placeholder[Long](59)) && (l34 == l53 - placeholder[Long](60) * l21 - l26 - placeholder[Long](61) / l52 + placeholder[Long](62))) && (coll27.size == placeholder[Int](63))) && (box10.value >= l53 - l21 - l26)\n )) || (((((((l30 == placeholder[Long](64)) && bool48) && (coll35 == coll23)) && (tuple31 == tuple5)) && bool50) && (l34 == l32 / l49 + placeholder[Long](65))) && (coll27.size == placeholder[Int](66)))) || ((l14 == placeholder[Long](67)) && \n val l52 = l36 * l19 / placeholder[Long](68)\n ((((l52 > placeholder[Long](69)) && (coll35 == coll23)) && (tuple31 == tuple5)) && (l34 == l32 / l52 + placeholder[Long](70))) && (coll27.size == placeholder[Int](71))\n )\n ) && (box37.propositionBytes == coll1(placeholder[Int](72)))) && (coll38.size == placeholder[Int](73))) && (box37.value >= l26)\n )} else { placeholder[Boolean](74) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](75))) && (OUTPUTS.size == placeholder[Int](76))) { ((((((((((box10.value == SELF.value - l21 - placeholder[Long](77)) && bool24) && (box10.R7[Coll[Byte]].get == coll7)) && (coll29 == coll6)) && (l34 == placeholder[Long](78))) && (tuple31 == tuple40)) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](79))) && (coll38.size == placeholder[Int](80))) && (tuple41._1 == coll6)) && (tuple41._2 == l32 - placeholder[Long](81)) } else { placeholder[Boolean](82) }) || if ((bool45 && (l14 == placeholder[Long](83))) && (l46 > placeholder[Long](84))) {(\n val box48 = CONTEXT.dataInputs(placeholder[Int](85))\n val i49 = l15.toInt\n val l50 = box48.R5[Coll[Long]].get(i49)\n val bool51 = l50 > placeholder[Long](86)\n val bool52 = box48.tokens(placeholder[Int](87))._1 == coll16\n val l53 = l33 * l50 / placeholder[Long](88)\n val l54 = l20 * l19 / placeholder[Long](89)\n val bool55 = (l53 > placeholder[Long](90)) && (l54 > placeholder[Long](91))\n val l56 = l53 * l46\n val coll57 = if (l19 == placeholder[Long](92)) { coll17 } else { coll18 }\n val l58 = l54 * l46\n val coll59 = box48.R4[Coll[Coll[Byte]]].get(i49)\n val bool60 = (coll59.size > placeholder[Int](93)) || (l15 == placeholder[Long](94))\n if (l30 == placeholder[Long](95)) { if (l15 == placeholder[Long](96)) {(\n val box61 = OUTPUTS(placeholder[Int](97))\n (((((bool52 && bool51) && bool55) && (box37.value >= l56)) && ((box61.propositionBytes == coll12) && box61.tokens.exists({(tuple62: (Coll[Byte], Long)) => (tuple62._1 == coll57) && (tuple62._2 >= l58) }))) && bool47) && (box10.value >= SELF.value - l56 - l21)\n )} else {(\n val tuple61 = coll3(placeholder[Int](98))\n val box62 = OUTPUTS(placeholder[Int](99))\n val tuple63 = coll27(placeholder[Int](100))\n (((((((((bool52 && bool60) && bool51) && bool55) && (tuple61._1 == coll59)) && coll38.exists({(tuple64: (Coll[Byte], Long)) => (tuple64._1 == coll59) && (tuple64._2 >= l56) })) && ((box62.propositionBytes == coll12) && box62.tokens.exists({(tuple64: (Coll[Byte], Long)) => (tuple64._1 == coll57) && (tuple64._2 >= l58) }))) && (tuple63._1 == coll59)) && bool47) && (box10.value >= SELF.value - l21)) && (tuple63._2 >= tuple61._2 - l56)\n )} } else {(\n val tuple61 = coll3(placeholder[Int](101))\n val coll62 = tuple61._1\n val box63 = OUTPUTS(placeholder[Int](102))\n val tuple64 = coll27(placeholder[Int](103))\n (((((((((bool52 && bool60) && bool51) && bool55) && ((coll62 == coll17) || (coll62 == coll18))) && coll38.exists({(tuple65: (Coll[Byte], Long)) => (tuple65._1 == coll62) && (tuple65._2 >= l58) })) && ((box63.propositionBytes == coll12) && box63.tokens.exists({(tuple65: (Coll[Byte], Long)) => (tuple65._1 == coll59) && (tuple65._2 >= l56) }))) && (tuple64._1 == coll62)) && bool47) && (box10.value >= SELF.value - l21)) && (tuple64._2 >= tuple61._2 - l58)\n )}\n )} else { placeholder[Boolean](104) }) || if ((bool45 && (l14 == placeholder[Long](105))) && (l46 > placeholder[Long](106))) {(\n val tuple48 = coll3(placeholder[Int](107))\n val coll49 = tuple48._1\n val box50 = CONTEXT.dataInputs(placeholder[Int](108))\n val l51 = box50.R8[Coll[Long]].get(l15.toInt)\n val l52 = if (l30 == placeholder[Long](109)) { if (l51 > l20) {(\n val l52 = l51 - l20\n if (l52 > l36) { l36 } else { l52 }\n )} else { placeholder[Long](110) } } else { if (l51 < l20) {(\n val l52 = l20 - l51\n if (l52 > l36) { l36 } else { l52 }\n )} else { placeholder[Long](111) } }\n val l53 = l52 * l19 / placeholder[Long](112)\n val l54 = l53 * l46\n val tuple55 = coll27(placeholder[Int](113))\n (((((((((coll49 == coll17) || (coll49 == coll18)) && (box50.tokens(placeholder[Int](114))._1 == placeholder[Coll[Byte]](115))) && (l52 > placeholder[Long](116))) && (l53 > placeholder[Long](117))) && coll38.exists({(tuple56: (Coll[Byte], Long)) => (tuple56._1 == coll49) && (tuple56._2 >= l54) })) && (tuple55._1 == coll49)) && bool47) && (box10.value >= SELF.value - l21)) && (tuple55._2 >= tuple48._2 - l54)\n )} else { placeholder[Boolean](118) }) || if (l42 > l44) {\n ((((OUTPUTS.size == placeholder[Int](119)) && (coll11 == coll12)) && (box10.value >= SELF.value - l21)) && (coll29 == tuple40._1)) && (l34 == tuple40._2)\n } else { placeholder[Boolean](120) }\n )\n}",
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"assets": [
{
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"index": 0,
"amount": 500,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669",
"sigmaType": "Coll[SByte]",
"renderedValue": "a55b8735ed1a99e46c2c89f8994aacdf4b1109bdcf682f1e5b34479c6e392669"
},
"R6": {
"serializedValue": "0e0133",
"sigmaType": "Coll[SByte]",
"renderedValue": "33"
},
"R8": {
"serializedValue": "110b000280897ad297d50180c8c38b820480897a80c78c020202a0c21ed00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,1000000,1746409,69000000000,1000000,2200000,1,1,250000,1000]"
},
"R7": {
"serializedValue": "0e200000000000000000000000000000000000000000000000000000000000000000",
"sigmaType": "Coll[SByte]",
"renderedValue": "0000000000000000000000000000000000000000000000000000000000000000"
},
"R9": {
"serializedValue": "1a022103bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b240008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b,0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b]"
},
"R4": {
"serializedValue": "0e16544553542042544320436173682049544d202436394b",
"sigmaType": "Coll[SByte]",
"renderedValue": "544553542042544320436173682049544d202436394b"
}
},
"spentTransactionId": "835f4a8dc0c5bdbe9a665eb5b74e3b11895f0a3f378496aaf0f31d1e63f1a08e",
"mainChain": true
},
{
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"transactionId": "478de367846408563376e4cd406c8964d774f8ff911f9a4a93a93e2e4e9cc9dd",
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"value": 2200000,
"index": 1,
"globalIndex": 54250885,
"creationHeight": 1746379,
"settlementHeight": 1746381,
"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",
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"mainChain": true
},
{
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"ergoTree": "0008cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bda269,1a4560,...)))}",
"address": "9huKeYQbBnuGcndNCSbxUrRc2sRQNCvfyex8nMorKkEwLcQW4vd",
"assets": [
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"index": 0,
"amount": 30000000,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
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"name": "TEST BTC Cash ITM $69K",
"decimals": 3,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"index": 3,
"amount": 13750,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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"mainChain": true
}
],
"size": 3184,
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}