Transaction
ID: 936f2f4210...b223
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0081451 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0010251 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00502 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 847,381
Total coins transferred: 0.0102451 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000252 ERG
Raw Transaction Data
{
"id": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"inclusionHeight": 922848,
"timestamp": 1674278312038,
"index": 3,
"globalIndex": 4647976,
"numConfirmations": 847381,
"inputs": [
{
"boxId": "ecf6c81808fa1770d7f93bb5935ff6881a9f2d751c3747008998d23af2aa577c",
"value": 2100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2c3d11132dd6f350525975d73302f5347a2c4bad0302f7e4693ad409c7df260a",
"outputTransactionId": "e64fe1545c157cb5300c6d6c87c4e09272c566ea63c732fa381f4723f20dd946",
"outputIndex": 0,
"outputGlobalIndex": 25819046,
"outputCreatedAt": 922840,
"outputSettledAt": 922842,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 3\n4: 2100000\n5: 1\n6: 0\n7: 0\n8: 2\n9: 0\n10: 7\n11: Coll(0,59,-47,-99,1,-121,17,127,19,11,98,-31,-68,-85,9,57,-110,-97,-11,-57,112,-97,-124,60,92,77,-47,88,-108,-110,-123,-48)\n12: Coll(48)\n13: 1\n14: 1\n15: false\n16: 1\n17: 1\n18: 0\n19: CBigInt(1000)\n20: 1\n21: 0\n22: CBigInt(1000000)\n23: 86400000\n24: 2\n25: 1\n26: 86400000\n27: 1\n28: 1\n29: 2\n30: 1\n31: 2100000\n32: 1\n33: 9\n34: false\n35: 14400000\n36: 2\n37: 0\n38: 0\n39: 2\n40: 1\n41: 0\n42: 0\n43: 0\n44: 100\n45: 500\n46: 1000\n47: 2000\n48: 4000\n49: 9000\n50: 13000\n51: 20000\n52: 30000\n53: 40000\n54: 50000\n55: 70000\n56: 110000\n57: 140000\n58: 170000\n59: 210000\n60: 250000\n61: 300000\n62: 500000\n63: 1000000\n64: 10000000\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 1\n71: CBigInt(1)\n72: CBigInt(0)\n73: 4\n74: 4\n75: 1775840000\n76: CBigInt(0)\n77: 5\n78: CBigInt(177584)\n79: 6\n80: 177584000\n81: 10000\n82: 0\n83: Coll(29,90,-4,89,-125,-119,32,-69,94,-14,-88,-7,-42,56,37,-91,91,29,72,-30,105,-41,-50,-50,-29,53,-42,55,-61,-1,95,63)\n84: 2\n85: 2\n86: 3\n87: 3\n88: 8\n89: false\n90: 2\n91: 4\n92: 0\n93: 1\n94: 0\n95: 2\n96: 0\n97: 0\n98: 1\n99: 0\n100: 0\n101: 1\n102: false\n103: 2100000\n104: 1\n105: 1\n106: 1100000\n107: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val box4 = SELF.R7[Box].get\n val bool5 = (tuple3._1 == box4.id) && (SELF.propositionBytes == box4.propositionBytes)\n val box6 = if (bool5) { box4 } else { SELF }\n val prop7 = box6.R9[SigmaProp].get\n val bool8 = !bool5\n val box9 = OUTPUTS(placeholder[Int](2))\n val coll10 = box9.propositionBytes\n val coll11 = prop7.propBytes\n val bool12 = coll10 == coll11\n val coll13 = box6.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](3))\n val l15 = CONTEXT.preHeader.timestamp\n val l16 = l14 - l15\n val l17 = box9.value\n val bool18 = l17 >= placeholder[Long](4)\n val coll19 = box9.tokens\n val tuple20 = coll19.getOrElse(placeholder[Int](5), tuple2)\n val l21 = tuple20._2\n val l22 = tuple3._2\n val bool23 = coll13(placeholder[Int](6)) == placeholder[Long](7)\n val l24 = coll13(placeholder[Int](8))\n val tuple25 = coll19.getOrElse(placeholder[Int](9), tuple2)\n val l26 = tuple25._2\n val l27 = SELF.value\n val l28 = coll13(placeholder[Int](10))\n val coll29 = tuple25._1\n val coll30 = box6.id\n val coll31 = placeholder[Coll[Byte]](11)\n val coll32 = placeholder[Coll[Byte]](12)\n val bool33 = if (coll10 == SELF.propositionBytes) {\n (\n (\n (\n (\n (((coll29 == coll30) && (l26 >= placeholder[Long](13))) && bool18) && (\n ((bool23 && (tuple20._1 == coll31)) && (l21 >= placeholder[Long](14))) || (!bool23)\n )\n ) && (box9.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n ) && (box9.R5[Coll[Byte]].get == coll32)\n ) && (box9.R6[Coll[Byte]].get == coll32)\n ) && (box9.R7[Box].get == box6)\n } else { placeholder[Boolean](15) }\n val box34 = OUTPUTS(placeholder[Int](16))\n val coll35 = box6.R5[Coll[Byte]].get\n val bool36 = l15 <= l14\n val tuple37 = coll1.getOrElse(placeholder[Int](17), tuple2)\n val l38 = tuple37._2\n val coll39 = box34.tokens\n val tuple40 = coll39.getOrElse(placeholder[Int](18), tuple2)\n val coll41 = tuple40._1\n val l42 = tuple40._2\n val bi43 = placeholder[BigInt](19)\n val bool44 = coll13(placeholder[Int](20)) == placeholder[Long](21)\n val bi45 = placeholder[BigInt](22)\n val bool46 = l15 > l14\n val bool47 = if (bool44) { (bool5 && bool46) && (l15 < l14 + placeholder[Long](23)) } else { bool5 && bool36 }\n prop7 && sigmaProp((bool8 && (OUTPUTS.size == placeholder[Int](24))) && bool12) || sigmaProp(\n (\n (\n if ((bool8 && (INPUTS.size == placeholder[Int](25))) && (l16 >= placeholder[Long](26))) {\n (\n (\n bool33 && (\n (bool18 && (box9.R7[Box].get == SELF)) && (\n (\n ((bool23 && (l21 == l22)) && (l26 == l22 - placeholder[Long](27) / l24 + placeholder[Long](28))) && (coll19.size == placeholder[Int](29))\n ) || (((!bool23) && (coll19.size == placeholder[Int](30))) && (l26 == l27 - placeholder[Long](31) / l28 + placeholder[Long](32)))\n )\n )\n ) && (box34.propositionBytes == coll35)\n ) && (box34.value >= coll13(placeholder[Int](33)))\n } else { placeholder[Boolean](34) } || if (((!(bool36 && (l15 > l14 - placeholder[Long](35)))) && (INPUTS.size == placeholder[Int](36))) && (\n CONTEXT.dataInputs.size > placeholder[Int](37)\n )) {(\n val box48 = CONTEXT.dataInputs(placeholder[Int](38))\n val coll49 = box48.tokens\n val tuple50 = coll49(placeholder[Int](39))\n val l51 = l22 - l26\n val l52 = box48.value / tuple50._2 / placeholder[Long](40)\n val l53 = if (bool23) { max(placeholder[Long](41), l52 - l28 * l24) } else { max(placeholder[Long](42), l28 - l52 * l24) }\n val coll54 = Coll[Long](\n placeholder[Long](43), placeholder[Long](44), placeholder[Long](45), placeholder[Long](46), placeholder[Long](47), placeholder[Long](\n 48\n ), placeholder[Long](49), placeholder[Long](50), placeholder[Long](51), placeholder[Long](52), placeholder[Long](53), placeholder[Long](\n 54\n ), placeholder[Long](55), placeholder[Long](56), placeholder[Long](57), placeholder[Long](58), placeholder[Long](59), placeholder[Long](\n 60\n ), placeholder[Long](61), placeholder[Long](62), placeholder[Long](63), placeholder[Long](64)\n )\n val coll55 = coll54.map({(l55: Long) => l55 * l55 }).zip(coll54)\n val func56 = {(l56: Long) =>\n val i58 = coll55.map({(tuple58: (Long, Long)) => if (tuple58._1 >= l56) { placeholder[Long](65) } else { placeholder[Long](66) } }).indexOf(\n placeholder[Long](67), placeholder[Int](68)\n )\n val tuple59 = coll55(i58)\n if (i58.toLong > placeholder[Long](69)) {(\n val tuple60 = coll55(i58 - placeholder[Int](70))\n val l61 = tuple60._2\n val l62 = tuple60._1\n max(placeholder[BigInt](71), l61.toBigInt + tuple59._2 - l61.toBigInt * l56 - l62.toBigInt / tuple59._1 - l62.toBigInt)\n )} else { placeholder[BigInt](72) }\n }\n val bi57 = func56(l16)\n val bi58 = placeholder[Long](73) * coll13(placeholder[Int](74)).toBigInt * l24.toBigInt * l28.toBigInt * bi57 / placeholder[Int](75).toBigInt\n val bi59 = max(\n placeholder[BigInt](76), bi58 - bi58 * coll13(placeholder[Int](77)).toBigInt * func56(max(l52 - l28, l28 - l52)) * placeholder[BigInt](\n 78\n ) / bi43 * func56(l28) * bi57\n )\n val bi60 = if (bool44) { l53.toBigInt + bi59 } else {\n l53.toBigInt + bi59 + bi59 * coll13(placeholder[Int](79)).toBigInt * bi57 / placeholder[Int](80).toBigInt\n }\n val bi61 = max(bi45, bi60 - bi60 % placeholder[Long](81).toBigInt)\n val bi62 = l51.toBigInt * if (bool23) { min(l52 * l24.toBigInt, bi61) } else { min(l28 * l24.toBigInt, bi61) }\n (\n (\n (\n (\n (\n (\n ((((coll49(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83)) && (tuple50._1 == coll31)) && bool33) && (l17 == l27)) && (l21 == l38)\n ) && (coll41 == coll30)\n ) && (l42 == l51)\n ) && (OUTPUTS(placeholder[Int](84)).propositionBytes == coll11)\n ) && (OUTPUTS(placeholder[Int](85)).value.toBigInt >= max(bi45, bi62))\n ) && (OUTPUTS(placeholder[Int](86)).propositionBytes == coll35)\n ) && (OUTPUTS(placeholder[Int](87)).value.toBigInt >= max(bi45, bi62 * coll13(placeholder[Int](88)).toBigInt / bi43))\n )} else { placeholder[Boolean](89) }\n ) || if (((bool47 && (INPUTS.size == placeholder[Int](90))) && (OUTPUTS.size == placeholder[Int](91))) && (\n CONTEXT.dataInputs.size == placeholder[Int](92)\n )) {(\n val l48 = if (bool23) { l38 - l21 } else { l27 - l17 }\n val l49 = if (bool23) { l48 / l24 } else { l48 / l28 * l24 }\n val tuple50 = INPUTS(placeholder[Int](93)).tokens.getOrElse(placeholder[Int](94), tuple2)\n val box51 = OUTPUTS(placeholder[Int](95))\n val coll52 = box51.tokens\n val tuple53 = coll52.getOrElse(placeholder[Int](96), tuple2)\n (\n (((l49 == if (tuple50._1 == coll30) { tuple50._2 } else { placeholder[Long](97) }) && bool33) && (l26 == l22)) && (\n (\n ((((bool23 && (coll41 == coll31)) && (l42 == l48)) && (coll39.size == placeholder[Int](98))) && (box51.value >= l49 * l28 * l24)) && (\n coll52.size == placeholder[Int](99)\n )\n ) || (\n (((((!bool23) && (box34.value >= l48)) && (coll39.size == placeholder[Int](100))) && (tuple53._1 == coll31)) && (tuple53._2 >= l49 * l24)) && (\n coll52.size == placeholder[Int](101)\n )\n )\n )\n ) && (box51.propositionBytes == coll11)\n )} else { placeholder[Boolean](102) }\n ) || if ((bool46 && (!bool47)) || (((l27 == placeholder[Long](103)) && (l22 == placeholder[Long](104))) && (l38 <= placeholder[Long](105)))) {\n ((bool12 && (l17 >= l27 - placeholder[Long](106))) && (coll29 == tuple37._1)) && (l26 == l38)\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "09381cd73fe05453ca6d7b4bdaca7c17b6d81cceb7e07b1fa2bd34e970cc6558",
"index": 0,
"amount": 2,
"name": "Call_A_SigRSV_ERG_492584_2023-04-22_per_100",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 1,
"amount": 101,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2b43616c6c5f415f5369675253565f4552475f3439323538345f323032332d30342d32325f7065725f313030",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f415f5369675253565f4552475f3439323538345f323032332d30342d32325f7065725f313030"
},
"R5": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "2f899c15f78e11603a0a1963cd3b18ea8b0de82603ff747b2c52258ac3380bb6",
"value": 8145100,
"index": 1,
"spendingProof": null,
"outputBlockId": "d20d224551c9ba85338d615eb9bf9b16987b6436b87c334ad0f170e4b13b893d",
"outputTransactionId": "bd47657710098a509a9bc83a7d7843a8a794ab69a671b0882cd5ffbcb3317156",
"outputIndex": 0,
"outputGlobalIndex": 25819064,
"outputCreatedAt": 922842,
"outputSettledAt": 922844,
"ergoTree": "100504020400050004020100d804d601e4c6a70408d602b2a5730000d603db63087202d604b2720373010186028300027302eb027201d19593b172037303eded93c27202d07201938c720401e4c6a7050e928c720402e4c6a706057304",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 1\n4: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll3.getOrElse(placeholder[Int](1), (Coll[Byte](), placeholder[Long](2)))\n prop1 || sigmaProp(\n if (coll3.size == placeholder[Int](3)) {\n ((box2.propositionBytes == prop1.propBytes) && (tuple4._1 == SELF.R5[Coll[Byte]].get)) && (tuple4._2 >= SELF.R6[Long].get)\n } else { placeholder[Boolean](4) }\n )\n}",
"address": "MZ4DGZnZL4rrxJ45amiyx8cvHrifo5PL82vwbrNEd19cMG2ALKk94md25VU8exnSexUfexvhDX8HHpUpLh3nSHno1VFt5pSoTcoHBDNzUHAGgf8N5mCD1KpG1GM1o6AKCLBKv",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R5": {
"serializedValue": "0e2009381cd73fe05453ca6d7b4bdaca7c17b6d81cceb7e07b1fa2bd34e970cc6558",
"sigmaType": "Coll[SByte]",
"renderedValue": "09381cd73fe05453ca6d7b4bdaca7c17b6d81cceb7e07b1fa2bd34e970cc6558"
},
"R6": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
}
}
}
],
"dataInputs": [
{
"boxId": "45a39aae557fa69fe4e7cd719797517fd756fd5267abcf65582779663d95904b",
"value": 42490102187969,
"index": 0,
"outputBlockId": "c366228ab5479a8a655239e6fe108e29165c50a954faabe1a4798e0140ce17fe",
"outputTransactionId": "cdc4f570bb314439cf1d4cd5bea4f32fd02770e3894b853234ab73cf24e8e6fe",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
"boxId": "1a93f194ebbd996232098e4e1c6cb4edc0f8beedbcb1e622c318e40fb2942684",
"transactionId": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"value": 2100000,
"index": 0,
"globalIndex": 25819096,
"creationHeight": 922842,
"settlementHeight": 922848,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 3\n4: 2100000\n5: 1\n6: 0\n7: 0\n8: 2\n9: 0\n10: 7\n11: Coll(0,59,-47,-99,1,-121,17,127,19,11,98,-31,-68,-85,9,57,-110,-97,-11,-57,112,-97,-124,60,92,77,-47,88,-108,-110,-123,-48)\n12: Coll(48)\n13: 1\n14: 1\n15: false\n16: 1\n17: 1\n18: 0\n19: CBigInt(1000)\n20: 1\n21: 0\n22: CBigInt(1000000)\n23: 86400000\n24: 2\n25: 1\n26: 86400000\n27: 1\n28: 1\n29: 2\n30: 1\n31: 2100000\n32: 1\n33: 9\n34: false\n35: 14400000\n36: 2\n37: 0\n38: 0\n39: 2\n40: 1\n41: 0\n42: 0\n43: 0\n44: 100\n45: 500\n46: 1000\n47: 2000\n48: 4000\n49: 9000\n50: 13000\n51: 20000\n52: 30000\n53: 40000\n54: 50000\n55: 70000\n56: 110000\n57: 140000\n58: 170000\n59: 210000\n60: 250000\n61: 300000\n62: 500000\n63: 1000000\n64: 10000000\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 1\n71: CBigInt(1)\n72: CBigInt(0)\n73: 4\n74: 4\n75: 1775840000\n76: CBigInt(0)\n77: 5\n78: CBigInt(177584)\n79: 6\n80: 177584000\n81: 10000\n82: 0\n83: Coll(29,90,-4,89,-125,-119,32,-69,94,-14,-88,-7,-42,56,37,-91,91,29,72,-30,105,-41,-50,-50,-29,53,-42,55,-61,-1,95,63)\n84: 2\n85: 2\n86: 3\n87: 3\n88: 8\n89: false\n90: 2\n91: 4\n92: 0\n93: 1\n94: 0\n95: 2\n96: 0\n97: 0\n98: 1\n99: 0\n100: 0\n101: 1\n102: false\n103: 2100000\n104: 1\n105: 1\n106: 1100000\n107: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val box4 = SELF.R7[Box].get\n val bool5 = (tuple3._1 == box4.id) && (SELF.propositionBytes == box4.propositionBytes)\n val box6 = if (bool5) { box4 } else { SELF }\n val prop7 = box6.R9[SigmaProp].get\n val bool8 = !bool5\n val box9 = OUTPUTS(placeholder[Int](2))\n val coll10 = box9.propositionBytes\n val coll11 = prop7.propBytes\n val bool12 = coll10 == coll11\n val coll13 = box6.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](3))\n val l15 = CONTEXT.preHeader.timestamp\n val l16 = l14 - l15\n val l17 = box9.value\n val bool18 = l17 >= placeholder[Long](4)\n val coll19 = box9.tokens\n val tuple20 = coll19.getOrElse(placeholder[Int](5), tuple2)\n val l21 = tuple20._2\n val l22 = tuple3._2\n val bool23 = coll13(placeholder[Int](6)) == placeholder[Long](7)\n val l24 = coll13(placeholder[Int](8))\n val tuple25 = coll19.getOrElse(placeholder[Int](9), tuple2)\n val l26 = tuple25._2\n val l27 = SELF.value\n val l28 = coll13(placeholder[Int](10))\n val coll29 = tuple25._1\n val coll30 = box6.id\n val coll31 = placeholder[Coll[Byte]](11)\n val coll32 = placeholder[Coll[Byte]](12)\n val bool33 = if (coll10 == SELF.propositionBytes) {\n (\n (\n (\n (\n (((coll29 == coll30) && (l26 >= placeholder[Long](13))) && bool18) && (\n ((bool23 && (tuple20._1 == coll31)) && (l21 >= placeholder[Long](14))) || (!bool23)\n )\n ) && (box9.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n ) && (box9.R5[Coll[Byte]].get == coll32)\n ) && (box9.R6[Coll[Byte]].get == coll32)\n ) && (box9.R7[Box].get == box6)\n } else { placeholder[Boolean](15) }\n val box34 = OUTPUTS(placeholder[Int](16))\n val coll35 = box6.R5[Coll[Byte]].get\n val bool36 = l15 <= l14\n val tuple37 = coll1.getOrElse(placeholder[Int](17), tuple2)\n val l38 = tuple37._2\n val coll39 = box34.tokens\n val tuple40 = coll39.getOrElse(placeholder[Int](18), tuple2)\n val coll41 = tuple40._1\n val l42 = tuple40._2\n val bi43 = placeholder[BigInt](19)\n val bool44 = coll13(placeholder[Int](20)) == placeholder[Long](21)\n val bi45 = placeholder[BigInt](22)\n val bool46 = l15 > l14\n val bool47 = if (bool44) { (bool5 && bool46) && (l15 < l14 + placeholder[Long](23)) } else { bool5 && bool36 }\n prop7 && sigmaProp((bool8 && (OUTPUTS.size == placeholder[Int](24))) && bool12) || sigmaProp(\n (\n (\n if ((bool8 && (INPUTS.size == placeholder[Int](25))) && (l16 >= placeholder[Long](26))) {\n (\n (\n bool33 && (\n (bool18 && (box9.R7[Box].get == SELF)) && (\n (\n ((bool23 && (l21 == l22)) && (l26 == l22 - placeholder[Long](27) / l24 + placeholder[Long](28))) && (coll19.size == placeholder[Int](29))\n ) || (((!bool23) && (coll19.size == placeholder[Int](30))) && (l26 == l27 - placeholder[Long](31) / l28 + placeholder[Long](32)))\n )\n )\n ) && (box34.propositionBytes == coll35)\n ) && (box34.value >= coll13(placeholder[Int](33)))\n } else { placeholder[Boolean](34) } || if (((!(bool36 && (l15 > l14 - placeholder[Long](35)))) && (INPUTS.size == placeholder[Int](36))) && (\n CONTEXT.dataInputs.size > placeholder[Int](37)\n )) {(\n val box48 = CONTEXT.dataInputs(placeholder[Int](38))\n val coll49 = box48.tokens\n val tuple50 = coll49(placeholder[Int](39))\n val l51 = l22 - l26\n val l52 = box48.value / tuple50._2 / placeholder[Long](40)\n val l53 = if (bool23) { max(placeholder[Long](41), l52 - l28 * l24) } else { max(placeholder[Long](42), l28 - l52 * l24) }\n val coll54 = Coll[Long](\n placeholder[Long](43), placeholder[Long](44), placeholder[Long](45), placeholder[Long](46), placeholder[Long](47), placeholder[Long](\n 48\n ), placeholder[Long](49), placeholder[Long](50), placeholder[Long](51), placeholder[Long](52), placeholder[Long](53), placeholder[Long](\n 54\n ), placeholder[Long](55), placeholder[Long](56), placeholder[Long](57), placeholder[Long](58), placeholder[Long](59), placeholder[Long](\n 60\n ), placeholder[Long](61), placeholder[Long](62), placeholder[Long](63), placeholder[Long](64)\n )\n val coll55 = coll54.map({(l55: Long) => l55 * l55 }).zip(coll54)\n val func56 = {(l56: Long) =>\n val i58 = coll55.map({(tuple58: (Long, Long)) => if (tuple58._1 >= l56) { placeholder[Long](65) } else { placeholder[Long](66) } }).indexOf(\n placeholder[Long](67), placeholder[Int](68)\n )\n val tuple59 = coll55(i58)\n if (i58.toLong > placeholder[Long](69)) {(\n val tuple60 = coll55(i58 - placeholder[Int](70))\n val l61 = tuple60._2\n val l62 = tuple60._1\n max(placeholder[BigInt](71), l61.toBigInt + tuple59._2 - l61.toBigInt * l56 - l62.toBigInt / tuple59._1 - l62.toBigInt)\n )} else { placeholder[BigInt](72) }\n }\n val bi57 = func56(l16)\n val bi58 = placeholder[Long](73) * coll13(placeholder[Int](74)).toBigInt * l24.toBigInt * l28.toBigInt * bi57 / placeholder[Int](75).toBigInt\n val bi59 = max(\n placeholder[BigInt](76), bi58 - bi58 * coll13(placeholder[Int](77)).toBigInt * func56(max(l52 - l28, l28 - l52)) * placeholder[BigInt](\n 78\n ) / bi43 * func56(l28) * bi57\n )\n val bi60 = if (bool44) { l53.toBigInt + bi59 } else {\n l53.toBigInt + bi59 + bi59 * coll13(placeholder[Int](79)).toBigInt * bi57 / placeholder[Int](80).toBigInt\n }\n val bi61 = max(bi45, bi60 - bi60 % placeholder[Long](81).toBigInt)\n val bi62 = l51.toBigInt * if (bool23) { min(l52 * l24.toBigInt, bi61) } else { min(l28 * l24.toBigInt, bi61) }\n (\n (\n (\n (\n (\n (\n ((((coll49(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83)) && (tuple50._1 == coll31)) && bool33) && (l17 == l27)) && (l21 == l38)\n ) && (coll41 == coll30)\n ) && (l42 == l51)\n ) && (OUTPUTS(placeholder[Int](84)).propositionBytes == coll11)\n ) && (OUTPUTS(placeholder[Int](85)).value.toBigInt >= max(bi45, bi62))\n ) && (OUTPUTS(placeholder[Int](86)).propositionBytes == coll35)\n ) && (OUTPUTS(placeholder[Int](87)).value.toBigInt >= max(bi45, bi62 * coll13(placeholder[Int](88)).toBigInt / bi43))\n )} else { placeholder[Boolean](89) }\n ) || if (((bool47 && (INPUTS.size == placeholder[Int](90))) && (OUTPUTS.size == placeholder[Int](91))) && (\n CONTEXT.dataInputs.size == placeholder[Int](92)\n )) {(\n val l48 = if (bool23) { l38 - l21 } else { l27 - l17 }\n val l49 = if (bool23) { l48 / l24 } else { l48 / l28 * l24 }\n val tuple50 = INPUTS(placeholder[Int](93)).tokens.getOrElse(placeholder[Int](94), tuple2)\n val box51 = OUTPUTS(placeholder[Int](95))\n val coll52 = box51.tokens\n val tuple53 = coll52.getOrElse(placeholder[Int](96), tuple2)\n (\n (((l49 == if (tuple50._1 == coll30) { tuple50._2 } else { placeholder[Long](97) }) && bool33) && (l26 == l22)) && (\n (\n ((((bool23 && (coll41 == coll31)) && (l42 == l48)) && (coll39.size == placeholder[Int](98))) && (box51.value >= l49 * l28 * l24)) && (\n coll52.size == placeholder[Int](99)\n )\n ) || (\n (((((!bool23) && (box34.value >= l48)) && (coll39.size == placeholder[Int](100))) && (tuple53._1 == coll31)) && (tuple53._2 >= l49 * l24)) && (\n coll52.size == placeholder[Int](101)\n )\n )\n )\n ) && (box51.propositionBytes == coll11)\n )} else { placeholder[Boolean](102) }\n ) || if ((bool46 && (!bool47)) || (((l27 == placeholder[Long](103)) && (l22 == placeholder[Long](104))) && (l38 <= placeholder[Long](105)))) {\n ((bool12 && (l17 >= l27 - placeholder[Long](106))) && (coll29 == tuple37._1)) && (l26 == l38)\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "09381cd73fe05453ca6d7b4bdaca7c17b6d81cceb7e07b1fa2bd34e970cc6558",
"index": 0,
"amount": 1,
"name": "Call_A_SigRSV_ERG_492584_2023-04-22_per_100",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 1,
"amount": 101,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2b43616c6c5f415f5369675253565f4552475f3439323538345f323032332d30342d32325f7065725f313030",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f415f5369675253565f4552475f3439323538345f323032332d30342d32325f7065725f313030"
},
"R5": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "37244b72f2edba1e806622254e1db0b8e59c627ee383a1ac7b367782c134399f",
"mainChain": true
},
{
"boxId": "31768e0a890c8019db1c700da8c070548f9b7f50ab980efe9dd414e32522e08d",
"transactionId": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"value": 1025100,
"index": 1,
"globalIndex": 25819097,
"creationHeight": 922842,
"settlementHeight": 922848,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [
{
"tokenId": "09381cd73fe05453ca6d7b4bdaca7c17b6d81cceb7e07b1fa2bd34e970cc6558",
"index": 0,
"amount": 1,
"name": "Call_A_SigRSV_ERG_492584_2023-04-22_per_100",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7d7f9058da4dcc6c3d49528dea45a9b6b78dff2fa7179c49fb850ff0440df191",
"mainChain": true
},
{
"boxId": "d84513a905462f3c000bb0532c463b047ab76a55be18e65f46b525404ef606ad",
"transactionId": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"value": 5020000,
"index": 2,
"globalIndex": 25819098,
"creationHeight": 922842,
"settlementHeight": 922848,
"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8868db548f408e0b22eebd0c92a5afd6ade2679275e26e86def6f16a6d04c935",
"mainChain": true
},
{
"boxId": "d7edb398ebe03f5957e37d93fb790b761daa26ec74fe24c5e73670f6bbb280d0",
"transactionId": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"value": 1000000,
"index": 3,
"globalIndex": 25819099,
"creationHeight": 922842,
"settlementHeight": 922848,
"ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
"address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "671620469824178565b89e9b14aa6ad28baad73205ffc8acdde16b7f1f987e73",
"mainChain": true
},
{
"boxId": "2c9387cf09f25ac747524b81000e4dea0e38616fc10be2adf2bc6586e2dfe9ac",
"transactionId": "936f2f4210bde8c41eff9bd4e93588f00a0fdda93c1a916347dcce4f2a76b223",
"blockId": "c94ac5fed54df6ffa984d4544ac3620504a3822760920886db26bb84bc682451",
"value": 1100000,
"index": 4,
"globalIndex": 25819100,
"creationHeight": 922842,
"settlementHeight": 922848,
"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": "7b3fd970fc7e0d582727e19bb95072fe85a949f6a4922f5e0be8020d66041626",
"mainChain": true
}
],
"size": 4371,
"isUnconfirmed": false
}