Transaction
ID: 0d249da3e6...bdf9
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,012,610
Total coins transferred: 0.026 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000063 ERG
Raw Transaction Data
{
"id": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"inclusionHeight": 762464,
"timestamp": 1654080229548,
"index": 8,
"globalIndex": 3279465,
"numConfirmations": 1012610,
"inputs": [
{
"boxId": "95dbc7007f8c9d6b521b6cd3c72be20bce7e7d3eaa9167439dfe855c6859043f",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f4b9a8a8e356b51ad45c40106883fcf492a267f95f364a3d0ad44996f043a306",
"outputTransactionId": "bed9320845f5673ca51aed3dca8d39e0da1bc148aa6584a23f9c5b905e495fae",
"outputIndex": 0,
"outputGlobalIndex": 17366150,
"outputCreatedAt": 762459,
"outputSettledAt": 762461,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: Coll(97,125,-9,-72,-77,-40,-68,48,-122,-29,-112,25,47,-124,12,-101,-92,78,-66,9,63,-31,33,-67,-25,127,112,-68,110,-128,67,26)\n14: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n15: 0\n16: 0\n17: 4\n18: 4\n19: 2\n20: 0\n21: 1\n22: 0\n23: Coll(67,-85,74,8,-99,-38,-95,87,55,-98,-102,-94,-45,77,13,35,-34,-13,-18,-123,-115,-33,122,-70,-124,100,-28,125,-18,87,42,-116)\n24: 3\n25: false\n26: 2\n27: 0\n28: 2\n29: 1\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 1800000\n36: 1\n37: 1000\n38: 1\n39: 1\n40: 1\n41: 1\n42: 1\n43: 0\n44: 0\n45: 1\n46: 2\n47: 0\n48: 1\n49: 1\n50: false\n51: 2\n52: 0\n53: Coll(119,80,70,8,-52,81,-4,38,95,-45,-9,-126,-28,-52,68,61,70,-86,-100,-104,-60,-69,62,86,41,-22,68,92,-81,-49,9,93)\n54: 1\n55: 1\n56: 2\n57: 0\n58: 1\n59: false\n60: 3\n61: 1\n62: false\n63: 0\n64: 1\n65: 0\n66: 1\n67: 0\n68: 1\n69: 0\n70: 0\n71: 0\n72: 1\n73: -1\n74: -1\n75: 1\n76: 1000\n77: 0\n78: 1\n79: 1\n80: true\n81: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val coll24 = placeholder[Coll[Byte]](13)\n val l25 = CONTEXT.preHeader.timestamp\n val l26 = tuple3._2\n val coll27 = placeholder[Coll[Byte]](14)\n val tuple28 = coll10(placeholder[Int](15))\n val tuple29 = coll5(placeholder[Int](16))\n val l30 = coll14(placeholder[Int](17))\n val bool31 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple28._1 == tuple29._1, tuple28._2 == tuple29._2, tuple11._1 == coll7, coll16(\n placeholder[Int](18)\n ) == l30, coll10.size == placeholder[Int](19)\n )\n )\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val bool35 = if (!bool8) { (coll34(placeholder[Int](22))._1 == placeholder[Coll[Byte]](23)) && (INPUTS.size >= placeholder[Int](24)) } else {\n placeholder[Boolean](25)\n }\n val coll36 = box33.R4[Coll[Long]].get\n val box37 = OUTPUTS(placeholder[Int](26))\n val coll38 = box37.tokens\n val tuple39 = coll34(placeholder[Int](27))\n sigmaProp((if (bool8) {(\n val box40 = OUTPUTS(placeholder[Int](28))\n if (l12 < l13) {(\n val tuple41 = coll2(placeholder[Int](29))\n val l42 = tuple41._2\n val coll43 = box1.R4[Coll[Long]].get\n val coll44 = box1.R5[Coll[Byte]].get\n val tuple45 = box40.tokens(placeholder[Int](30))\n allOf(Coll[Boolean](bool31, l17 == l15 + l42, l18 == l19, l21 == l20 + placeholder[Long](31), l22 == l23, l12 == l13 - placeholder[Long](32), blake2b256(box1.propositionBytes) == coll24, coll43(placeholder[Int](33)) == l19, coll43(placeholder[Int](34)) >= l25 - placeholder[Long](35), coll44 == SELF.id, bool8, l26 == placeholder[Long](36), tuple41._1 == coll27, l42 >= placeholder[Long](37), box40.propositionBytes == INPUTS(placeholder[Int](38)).R5[Coll[Byte]].get, tuple45._1 == coll44, tuple45._2 == placeholder[Long](39)))\n )} else {(\n val tuple41 = coll2(placeholder[Int](40))\n val l42 = tuple41._2\n val box43 = INPUTS(placeholder[Int](41))\n val l44 = box43.tokens.getOrElse(placeholder[Int](42), tuple32)._2\n val coll45 = box1.R4[Coll[Long]].get\n val coll46 = box1.R5[Coll[Byte]].get\n val tuple47 = box40.tokens(placeholder[Int](43))\n allOf(Coll[Boolean](bool31, l17 == l15 + l42 - l44, l18 == l19, l21 == l20, l22 == l23, l12 == l13, blake2b256(box1.propositionBytes) == coll24, blake2b256(box43.propositionBytes) == coll24, coll45(placeholder[Int](44)) == l19, coll45 == box43.R4[Coll[Long]].get, coll46 == box43.R5[Coll[Byte]].get, bool8, l26 == placeholder[Long](45), tuple41._1 == coll27, l42 == l44 + INPUTS.getOrElse(placeholder[Int](46), INPUTS(placeholder[Int](47))).tokens(placeholder[Int](48))._2, tuple47._1 == coll46, tuple47._2 == placeholder[Long](49)))\n )}\n )} else { placeholder[Boolean](50) } || if (bool35) {(\n val box40 = INPUTS(placeholder[Int](51))\n val coll41 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool31, box40.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll41(placeholder[Int](54)) == l19 - placeholder[Long](55), coll41(placeholder[Int](56)) == placeholder[Long](57), l18 == l19 + placeholder[Long](58), l21 == l20, l22 == l23 + l30, l22 < l25, l12 == l13))\n )} else { placeholder[Boolean](59) }) || if (if (!(bool8 || bool35)) { ((l15 > l17) && (INPUTS.size >= placeholder[Int](60))) && (coll34.size > placeholder[Int](61)) } else { placeholder[Boolean](62) }) {(\n val l40 = coll36(placeholder[Int](63))\n val l41 = l15 - l17\n val tuple42 = coll34(placeholder[Int](64))\n val l43 = tuple42._2 - l41\n val bool44 = l43 == placeholder[Long](65)\n val coll45 = tuple42._1\n allOf(Coll[Boolean](bool31, l40 == l19, l17 == l15 - l41, l18 == l19, l21 == l20 - if (bool44) { placeholder[Long](66) } else { placeholder[Long](67) }, l22 == l23, l12 == l13 + if (bool44) { placeholder[Long](68) } else { placeholder[Long](69) }, coll4 == coll45, l26 == l41, if (l43 > placeholder[Long](70)) {(\n val tuple46 = coll38.getOrElse(placeholder[Int](71), tuple32)\n val tuple47 = coll38.getOrElse(placeholder[Int](72), tuple32)\n val opt48 = box37.R4[Coll[Long]]\n val coll49 = if (opt48.isDefined) { opt48.get } else { Coll[Long](placeholder[Long](73), placeholder[Long](74)) }\n allOf(Coll[Boolean](coll2.getOrElse(placeholder[Int](75), tuple32)._1 == box33.R5[Coll[Byte]].get, box37.value == box33.value, tuple46._1 == tuple39._1, tuple46._2 == tuple39._2, tuple47._1 == coll45, tuple47._2 == l43, l43 >= placeholder[Long](76), coll49(placeholder[Int](77)) == l40, coll49(placeholder[Int](78)) == coll36(placeholder[Int](79))))\n )} else { placeholder[Boolean](80) }))\n )} else { placeholder[Boolean](81) })\n}",
"address": "pWCXUye1qPVFAGHQdTe21ACPAf2T118n1V2oedEgLmY3GcHjNB33hSqWvN8SuXkNfaMfYCezdku73xmJvTiAmU8dxTGYXERBT1JBg3rYqMfU2U1hDD7z4r3mYj3jKHmggNS2Wbo5coaNFADKMomDARqjrw2di4WpBmNGQxXnHiKvZ5ncHziJ6P6v2DiV6PUWj9cN4UAFG2TMqvPkKLo4VigbXHYsQYm1Q5W1WYoKdJ7KbQubKMKhBGbrPUSAVucxoHkuw6buDwk7bg9BsKATSrsTgnDKRGU1RDYvFg2wjywisd3SmWmr5sQv73xPh7ScYRbE8ZbAoMcWKTA6RX484y6SqTLqbpYRnqPw5S843cBJPaSyFjYcTLjLsa6CPbmYtxEUhEBY8cMxXY1UfvZHtT37E18rbkTtDaxpDA3VXqT8ZoZsgo2rPkbMJnfRjNJrz4d1HPkVBJ6NnBwaS5HY8iENGm73oVJXMjPx73njtpFFQazHc5tgpLQC1XVt45GpMdGZxXXkiE9eJGhYdSj5Jv3MFh4q44Jq3wG8uo5gNNJgRdaUvMNCTAstZhmiUMJMUGwpkjY1JzdgEX1DEVMhH4orhVb1baUgECbgGJwe7f676GPgnbLqDqshk7Lam8fSKNYoeFEkLiozWSPkLPCPLrSFdH9okk6Vxtg5ptmDsAeBbfSj1WjwUh8mN51xq5de5EnSE9xNmBekS6DNwY3P3SLt9GyPkDa9vjAKCXXBZ4yZnQfbz21sZjL9MbKmALPhu3R1kzHyZde5DCbPzvyfVgPfjnV56Le3Rkqcyhr62UuUCNRMXLko5JnvxuBoa8oVfDQ9juRQLwZJr39XmSunsBFjkqZfmKxFg1y7mDKFqLKXQQscB5SLtErarsunwciXZpFALmU2enZvpK6BaQi4LaZawukXK1vjX9M4eZdcizwwLkuXqSHn4vEQiBWnZS3a1PVv6wbbcbraLPHabLtMt6K4XeTpy8Y9ERDU8MLPUYr17YiseAiZAb26tEbA2YzqQDnTkTtoE6KpUGARTxXLR1xt1GjmsPLKg9tMZJF5xevyD1EdLYCVyGAe3irvhquDwJyGNRZ4HxDNFtAtFs3rxWUMLTqV81z5iZQMMy9SgdJWJtdGiZzCd2jJdD4Dgm63RM2DfYUEJ9h8mnnDKdnBVKbgSWKHRaf8bS8SioFBz9m7mjYuF7NJ17gcvMrxPw4KimUiDjVHvGLnF14pYSwUSRnXEsANFYHkwohZNKje9Arq1SyAh2ZacSsGoNeVssGKem5SiyffMuVDn7AN24KvVWz4wFLe5PvHSYw6gG4vFGUwcc6BCdfzF1J1jXYiQB1AsvsdxzENtRuGpynm6uaTeMUqzRQRKXYSFUoJabMd5gM9iPQEHzenVxbLhu2Zr32PbDpQyvYneZDwMz3NCNwSY29qNfUcnsmJQ8mv2wpWRgifTwTAQd7bSmRc82KhKzBFM5VMjAkrhenfwDR9SWyJ7Psx6EqEuLdzruhvspvgcFMTgrngSE1h8KqdE8VHyQ168L59KaWhweVPaqSw6XqATCCiNdLxt4t4cPUtc23Xz1Tvcq5tsiYAJVpKNxcmYWFRz3weu25uzModQgCWB2Nbn5Rz1bdpZJFZtVkfJMj1izNuimS7CaN6bd6JgkCDFt9LECHTXuSJC4v8GPHHqYkgnPGwz5YtbA3Vjt1YxDBh9MqXxVWNaaWqEpAB1zk45SvbohEFWhqHt3moowYHLTyf1JneMiw1g9yHwdvxdBJMsBbLDgTm4jEBwt7VUAEFh9ASCWQaAKCbbdRvPko9f2D1KJH6evnXMx3fwr2VKAWu3oNL81kmD7MD6Jm337Qu2quCrRvz8QqhYne9jh4t3iW1Y26Cecr6AJMELfD4o2Qa3PRi1A34VL1SE4AePU1h44QRXRiZsGfEoa",
"assets": [
{
"tokenId": "3bedcfe89695c43999dcbfa83bc8c680c71fed1e98e8ea2c9885deea615fe4d9",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e0113570957d605300b8c7f3373143de9e075b4d66633ea119b61577ee860889",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105b0fea8c52e2e0280c4a6eca36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[6246703000,23,1,1654078624000,3600000]"
}
}
},
{
"boxId": "c78696bf3c34b1e05ae8738954e92cb05a264d82a775450c51ddba9508523b27",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f4b9a8a8e356b51ad45c40106883fcf492a267f95f364a3d0ad44996f043a306",
"outputTransactionId": "526b207da946b874ab9c56d7b651c189b7841f7d430c0e4f0607076bfabdec92",
"outputIndex": 1,
"outputGlobalIndex": 17366172,
"outputCreatedAt": 762459,
"outputSettledAt": 762461,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(119,80,70,8,-52,81,-4,38,95,-45,-9,-126,-28,-52,68,61,70,-86,-100,-104,-60,-69,62,86,41,-22,68,92,-81,-49,9,93)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(59,-19,-49,-24,-106,-107,-60,57,-103,-36,-65,-88,59,-56,-58,-128,-57,31,-19,30,-104,-24,-22,44,-104,-123,-34,-22,97,95,-28,-39)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "e0113570957d605300b8c7f3373143de9e075b4d66633ea119b61577ee860889",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 6246703000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11022eb2979ae5a360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[23,1654071182809]"
},
"R5": {
"serializedValue": "0e2097140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609",
"sigmaType": "Coll[SByte]",
"renderedValue": "97140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609"
}
}
},
{
"boxId": "be4ca9cacc4bb29cefa2c7a237581219f697757a7bb961ead89455333b12470c",
"value": 24000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "8890edfda5521b57bbb5c70daa2a0c735b5afc5a0c9c5abec8e69ab12c1c2596",
"outputTransactionId": "2d571c562144b4e7653d501bbb9827b2f6742da719bb6e9ec128e3ba11046502",
"outputIndex": 0,
"outputGlobalIndex": 17365201,
"outputCreatedAt": 762438,
"outputSettledAt": 762440,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(59,-19,-49,-24,-106,-107,-60,57,-103,-36,-65,-88,59,-56,-58,-128,-57,31,-19,30,-104,-24,-22,44,-104,-123,-34,-22,97,95,-28,-39)\n4: 1\n5: 1\n6: 1\n7: 2\n8: 0\n9: 3\n10: 1\n11: 1\n12: 1\n13: Coll(51,-85,81,-34,-47,86,50,-99,-20,-7,48,25,107,-113,-104,-115,-111,-58,100,74,62,-85,-71,67,-104,-125,110,-117,54,-71,42,-94)\n14: 10000000\n15: 4\n16: 2000000\n17: 5\n18: 2000000\n19: 6\n20: false\n21: 1000000\n22: 2",
"ergoTreeScript": "{\n val coll1 = SELF.R5[Coll[Byte]].get\n val box2 = OUTPUTS(placeholder[Int](0))\n sigmaProp(if (INPUTS(placeholder[Int](1)).tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val tuple5 = SELF.tokens(placeholder[Int](6))\n val box6 = OUTPUTS(placeholder[Int](7))\n val tuple7 = box6.tokens(placeholder[Int](8))\n val box8 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](tuple4._2 == INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._2 + tuple5._2, tuple4._1 == tuple5._1, box6.propositionBytes == coll1, tuple7._1 == box3.R5[Coll[Byte]].get, tuple7._2 == placeholder[Long](12), blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](13), box8.value == placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16), OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18), OUTPUTS.size == placeholder[Int](19)))\n )} else { placeholder[Boolean](20) } || allOf(Coll[Boolean](box2.propositionBytes == coll1, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22))))\n}",
"address": "DV4JyzeK7mPUUxCw6i8g4vxPT8sBx5cdTcY9dSaNRL5g8Mh66tMrx2vRArCu2huSgAkyadZVjh5Bfxb4NbLZy1nCbf31MSD7T3A3u7daG5wuodCNEebnXKwAtAeqhbGfahuMJkCbGK3aCJfXE7uU2SLrfshPayp8o8zj2Q9xKUGFYgrvxY5ab9H5HgrsW7iz5fQGB4jCk2HFe7rXJX6gcL7C4WE1km25eR6CtWF6r7JLtDuc8fVDwaZhJBiUuckn7bmh23djTsjY9M9SfmVPenzPcvkbAhES7v8G8PG2esPu87FHGGCpX6LP5L2YaG6mM1BaddZM3uzzLkewfBo3upX7cbmAxSquVmBEuavPyLS81DgqxuT37ak42SzVonBHLvY9nEHyTjbvweRcBEqTfVC3XKyJPTeNJoSmc6pWAMcr1jWZ3ZWTW2pf2bktG4ZWfE3xuwRzPBkf1hUqy7NWKdqhDmoXqGqd",
"assets": [
{
"tokenId": "97140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 1000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0]"
},
"R5": {
"serializedValue": "0e240008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "dbae6b41c449d3fb7757ac8ccb931f3d0b987bd07593a6b81fc0245e6ac85309",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 1000000,
"index": 0,
"globalIndex": 17366310,
"creationHeight": 762462,
"settlementHeight": 762464,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: Coll(97,125,-9,-72,-77,-40,-68,48,-122,-29,-112,25,47,-124,12,-101,-92,78,-66,9,63,-31,33,-67,-25,127,112,-68,110,-128,67,26)\n14: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n15: 0\n16: 0\n17: 4\n18: 4\n19: 2\n20: 0\n21: 1\n22: 0\n23: Coll(67,-85,74,8,-99,-38,-95,87,55,-98,-102,-94,-45,77,13,35,-34,-13,-18,-123,-115,-33,122,-70,-124,100,-28,125,-18,87,42,-116)\n24: 3\n25: false\n26: 2\n27: 0\n28: 2\n29: 1\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 1800000\n36: 1\n37: 1000\n38: 1\n39: 1\n40: 1\n41: 1\n42: 1\n43: 0\n44: 0\n45: 1\n46: 2\n47: 0\n48: 1\n49: 1\n50: false\n51: 2\n52: 0\n53: Coll(119,80,70,8,-52,81,-4,38,95,-45,-9,-126,-28,-52,68,61,70,-86,-100,-104,-60,-69,62,86,41,-22,68,92,-81,-49,9,93)\n54: 1\n55: 1\n56: 2\n57: 0\n58: 1\n59: false\n60: 3\n61: 1\n62: false\n63: 0\n64: 1\n65: 0\n66: 1\n67: 0\n68: 1\n69: 0\n70: 0\n71: 0\n72: 1\n73: -1\n74: -1\n75: 1\n76: 1000\n77: 0\n78: 1\n79: 1\n80: true\n81: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val coll24 = placeholder[Coll[Byte]](13)\n val l25 = CONTEXT.preHeader.timestamp\n val l26 = tuple3._2\n val coll27 = placeholder[Coll[Byte]](14)\n val tuple28 = coll10(placeholder[Int](15))\n val tuple29 = coll5(placeholder[Int](16))\n val l30 = coll14(placeholder[Int](17))\n val bool31 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple28._1 == tuple29._1, tuple28._2 == tuple29._2, tuple11._1 == coll7, coll16(\n placeholder[Int](18)\n ) == l30, coll10.size == placeholder[Int](19)\n )\n )\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val bool35 = if (!bool8) { (coll34(placeholder[Int](22))._1 == placeholder[Coll[Byte]](23)) && (INPUTS.size >= placeholder[Int](24)) } else {\n placeholder[Boolean](25)\n }\n val coll36 = box33.R4[Coll[Long]].get\n val box37 = OUTPUTS(placeholder[Int](26))\n val coll38 = box37.tokens\n val tuple39 = coll34(placeholder[Int](27))\n sigmaProp((if (bool8) {(\n val box40 = OUTPUTS(placeholder[Int](28))\n if (l12 < l13) {(\n val tuple41 = coll2(placeholder[Int](29))\n val l42 = tuple41._2\n val coll43 = box1.R4[Coll[Long]].get\n val coll44 = box1.R5[Coll[Byte]].get\n val tuple45 = box40.tokens(placeholder[Int](30))\n allOf(Coll[Boolean](bool31, l17 == l15 + l42, l18 == l19, l21 == l20 + placeholder[Long](31), l22 == l23, l12 == l13 - placeholder[Long](32), blake2b256(box1.propositionBytes) == coll24, coll43(placeholder[Int](33)) == l19, coll43(placeholder[Int](34)) >= l25 - placeholder[Long](35), coll44 == SELF.id, bool8, l26 == placeholder[Long](36), tuple41._1 == coll27, l42 >= placeholder[Long](37), box40.propositionBytes == INPUTS(placeholder[Int](38)).R5[Coll[Byte]].get, tuple45._1 == coll44, tuple45._2 == placeholder[Long](39)))\n )} else {(\n val tuple41 = coll2(placeholder[Int](40))\n val l42 = tuple41._2\n val box43 = INPUTS(placeholder[Int](41))\n val l44 = box43.tokens.getOrElse(placeholder[Int](42), tuple32)._2\n val coll45 = box1.R4[Coll[Long]].get\n val coll46 = box1.R5[Coll[Byte]].get\n val tuple47 = box40.tokens(placeholder[Int](43))\n allOf(Coll[Boolean](bool31, l17 == l15 + l42 - l44, l18 == l19, l21 == l20, l22 == l23, l12 == l13, blake2b256(box1.propositionBytes) == coll24, blake2b256(box43.propositionBytes) == coll24, coll45(placeholder[Int](44)) == l19, coll45 == box43.R4[Coll[Long]].get, coll46 == box43.R5[Coll[Byte]].get, bool8, l26 == placeholder[Long](45), tuple41._1 == coll27, l42 == l44 + INPUTS.getOrElse(placeholder[Int](46), INPUTS(placeholder[Int](47))).tokens(placeholder[Int](48))._2, tuple47._1 == coll46, tuple47._2 == placeholder[Long](49)))\n )}\n )} else { placeholder[Boolean](50) } || if (bool35) {(\n val box40 = INPUTS(placeholder[Int](51))\n val coll41 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool31, box40.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll41(placeholder[Int](54)) == l19 - placeholder[Long](55), coll41(placeholder[Int](56)) == placeholder[Long](57), l18 == l19 + placeholder[Long](58), l21 == l20, l22 == l23 + l30, l22 < l25, l12 == l13))\n )} else { placeholder[Boolean](59) }) || if (if (!(bool8 || bool35)) { ((l15 > l17) && (INPUTS.size >= placeholder[Int](60))) && (coll34.size > placeholder[Int](61)) } else { placeholder[Boolean](62) }) {(\n val l40 = coll36(placeholder[Int](63))\n val l41 = l15 - l17\n val tuple42 = coll34(placeholder[Int](64))\n val l43 = tuple42._2 - l41\n val bool44 = l43 == placeholder[Long](65)\n val coll45 = tuple42._1\n allOf(Coll[Boolean](bool31, l40 == l19, l17 == l15 - l41, l18 == l19, l21 == l20 - if (bool44) { placeholder[Long](66) } else { placeholder[Long](67) }, l22 == l23, l12 == l13 + if (bool44) { placeholder[Long](68) } else { placeholder[Long](69) }, coll4 == coll45, l26 == l41, if (l43 > placeholder[Long](70)) {(\n val tuple46 = coll38.getOrElse(placeholder[Int](71), tuple32)\n val tuple47 = coll38.getOrElse(placeholder[Int](72), tuple32)\n val opt48 = box37.R4[Coll[Long]]\n val coll49 = if (opt48.isDefined) { opt48.get } else { Coll[Long](placeholder[Long](73), placeholder[Long](74)) }\n allOf(Coll[Boolean](coll2.getOrElse(placeholder[Int](75), tuple32)._1 == box33.R5[Coll[Byte]].get, box37.value == box33.value, tuple46._1 == tuple39._1, tuple46._2 == tuple39._2, tuple47._1 == coll45, tuple47._2 == l43, l43 >= placeholder[Long](76), coll49(placeholder[Int](77)) == l40, coll49(placeholder[Int](78)) == coll36(placeholder[Int](79))))\n )} else { placeholder[Boolean](80) }))\n )} else { placeholder[Boolean](81) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3bedcfe89695c43999dcbfa83bc8c680c71fed1e98e8ea2c9885deea615fe4d9",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e0113570957d605300b8c7f3373143de9e075b4d66633ea119b61577ee860889",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105b087a3c62e2e0280c4a6eca36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[6247703000,23,1,1654078624000,3600000]"
}
},
"spentTransactionId": "6f7b8de46ce01e3538008e0972e193fed72725853f46d52e7026eaddbeaa5429",
"mainChain": true
},
{
"boxId": "140f85bfd989c7e340a68974e7b1f41cb40ed7dab88bb8d6f93cc410e1f875e3",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 1000000,
"index": 1,
"globalIndex": 17366311,
"creationHeight": 762462,
"settlementHeight": 762464,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(119,80,70,8,-52,81,-4,38,95,-45,-9,-126,-28,-52,68,61,70,-86,-100,-104,-60,-69,62,86,41,-22,68,92,-81,-49,9,93)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(59,-19,-49,-24,-106,-107,-60,57,-103,-36,-65,-88,59,-56,-58,-128,-57,31,-19,30,-104,-24,-22,44,-104,-123,-34,-22,97,95,-28,-39)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "e0113570957d605300b8c7f3373143de9e075b4d66633ea119b61577ee860889",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 6247703000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11022eb2979ae5a360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[23,1654071182809]"
},
"R5": {
"serializedValue": "0e2097140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609",
"sigmaType": "Coll[SByte]",
"renderedValue": "97140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609"
}
},
"spentTransactionId": "6f7b8de46ce01e3538008e0972e193fed72725853f46d52e7026eaddbeaa5429",
"mainChain": true
},
{
"boxId": "41c74c78f96dd976318a9395aeab3f80497e6f569c80951fa2428cb619723bb5",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 10000000,
"index": 2,
"globalIndex": 17366312,
"creationHeight": 762462,
"settlementHeight": 762464,
"ergoTree": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6443d3,8a1070,...)))}",
"address": "9fHDeZNv7i8qSu6DBYopqfTXAGtJCetQAW3zrKxzve8fsSE2wW7",
"assets": [
{
"tokenId": "97140755ab09b1f613446309cc0e87dca559012a497491e28d9a11add059c609",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4500541318c4fb3939aadb22dad691992d19cd7ab740f511dfe44b4134a57d7e",
"mainChain": true
},
{
"boxId": "cae05905c7609cddc99937a8c3c6aab88ac14299ffcac580c92c1c3b06118e15",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 10000000,
"index": 3,
"globalIndex": 17366313,
"creationHeight": 762462,
"settlementHeight": 762464,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(119,80,70,8,-52,81,-4,38,95,-45,-9,-126,-28,-52,68,61,70,-86,-100,-104,-60,-69,62,86,41,-22,68,92,-81,-49,9,93)\n3: 0\n4: 0\n5: Coll(59,-19,-49,-24,-106,-107,-60,57,-103,-36,-65,-88,59,-56,-58,-128,-57,31,-19,30,-104,-24,-22,44,-104,-123,-34,-22,97,95,-28,-39)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(-32,17,53,112,-107,125,96,83,0,-72,-57,-13,55,49,67,-34,-98,7,91,77,102,99,62,-95,25,-74,21,119,-18,-122,8,-119)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-120,9,6,-47,43,-46,127,58,38,-50,67,56,19,52,-10,-53,-75,32,87,-28,-84,23,68,118,101,106,-94,-118,-98,-54,118,23)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "Ujfv3QVGdnTpaEc5mJwEtx4BhXx4P5yD6mqh1ZuTMKR97otg6UPbgr37krcbLadBdiWUQZyfFPiqF2aZUzm6oHbVTzHA6JRRLJQZ46ngf6sGbHwENp5XWqD2d7C5X3sHRbXd9H5nVJqTevdNWmRrztMHssK7XoBUebGh6acm255VbokVCWhKF1gMerZPD3pyLEWY71aEvQcnWi9WhBu97Xmte2f8eoTyVYjGyPqt1otKPszi1say3Sr1gPijMyNvCzMass73cg1G4PYPxiGbDF4cacvuTPMfxhFqEequvDHW5EZJqa3HPRbF18YFmNgE8mziYCAvQnZRXw24Pdq1jegz7yn5jnoHu2odQBLPNY7fwkKrv2Y1xrqbpoMQ9wzMbJ9kTQ7fKqrttuFqRQRXM1CsyAmLusXLq91d3ChAsz15J2egcGxtLhvYg8z5WrqHV8TPcYw44d8sREXcaE5uvBnRXzzg2bg53FU42xJyGyuG9USdzULrXxhixEXgiaSJVXnFa2FyLnyaZNVhERCeNVmrqGFr2z2LMh3gTSfuyNYvDKGFTFEoaYjtgyFc8t6NvnvK6mu86RbsEc6yPs2m9NjBvxgxQh11usDm7ukDYaU8j3AueP72spfAoAjH4YtU6XPdXqjVwgNjjhuNr1jaAZV78kkcJzg76gpcQXaHiD1KFovU8P6aANVorUexWye1t14f4hKr6xcEVG5iEWHhYGcUe2GKg6RQZ9jPy5b1ozoP7NmvE5bypmLQKM1akDjbLroKm4bwSPQoK8sHY428E9ZUBaKUXGgLmErwYKpu8CUBTKCmQUqMbcXG5zTUZjJ2g6wQZ9MCFxn82MwAREssBxNrjLqpC4Kf8Cq1Nh5PCyxLXnVqrfpErsWvb8VcdqRU6hdLGN4Qgdz8mrRKyPeR2zQqjBCnHmTrwJKt1iZX6qyQoFcsAKE7R9wJoQVRoX3KmaV74yQJRv4MCJTknCyoT",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f78af0ac7654b76dea8800c783ceba2acbec7b542d63d859b81b153e1ddaa0d3",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 2000000,
"index": 4,
"globalIndex": 17366314,
"creationHeight": 762462,
"settlementHeight": 762464,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "311502f071abb029fa11175bd2ebedc9bdbd5912489910b26b54a02a8cdce38e",
"mainChain": true
},
{
"boxId": "6be08855e5a767db9c80fc5ab1246012f7878ced3b622226a7e069ed1fd0eacc",
"transactionId": "0d249da3e6665cb69530fc3de3d852f0260851ce96b21573bbab60b18adcbdf9",
"blockId": "ae8e92b3678d79c6976fce6b2e6ebd71a0901079cd77cd05178c1b2fb95f6184",
"value": 2000000,
"index": 5,
"globalIndex": 17366315,
"creationHeight": 762462,
"settlementHeight": 762464,
"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": "9fc7ae0dd7d16de03b451bd33de5e0cd4d332e1e46d1c30a2edfde3b61740d94",
"mainChain": true
}
],
"size": 3176,
"isUnconfirmed": false
}