Transaction
ID: b35d849e2a...9a41
Inputs (4)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Outputs (7)
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
273.90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.095 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 1,011,272
Total coins transferred: 0.103 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000255 ERG
Raw Transaction Data
{
"id": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"inclusionHeight": 762402,
"timestamp": 1654072490369,
"index": 9,
"globalIndex": 3279078,
"numConfirmations": 1011272,
"inputs": [
{
"boxId": "2260693dd6a282849c97c47e6073b99d48b85600ffca81002f0097b6144bf90e",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "17a8be832c8917a99d9aa067388668d1f1ee8099dd0c034e4c29575f9c439ed2",
"outputTransactionId": "799c3d03b780c6c188c99f9132e47a9c9823a78269dbf51c9b01e7bece68929c",
"outputIndex": 0,
"outputGlobalIndex": 17363141,
"outputCreatedAt": 762386,
"outputSettledAt": 762388,
"ergoTree": "105204020400040204000402040004000402040204040404040604060e20617df7b8b3d8bc3086e390192f840c9ba44ebe093fe121bde77f70bc6e80431a0e20001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3040004000408040804040500040204000e2043ab4a089ddaa157379e9aa2d34d0d23def3ee858ddf7aba8464e47dee572a8c040601000404040004040402040005020502040004020580dddb01050205d00f0402050204020402040204000400050204040400040205020100040404000e2077504608cc51fc265fd3f782e4cc443d46aa9c98c4bb3e5629ea445cafcf095d040205020404050005020100040604020100040004020500050205000502050005000400040205010501040205d00f04000402040201010100d827d601b2a5730000d602db63087201d603b27202730100d6048c720301d605db6308a7d606b27205730200d6078c720601d6089372047207d609b2a5730300d60adb63087209d60bb2720a730400d60c8c720b02d60d8c720602d60ee4c6a70411d60fb2720e730500d610e4c672090411d611b27210730600d612b27210730700d613b2720e730800d614b2720e730900d615b27210730a00d616b27210730b00d617b2720e730c00d618730dd619db6903db6503fed61a8c720302d61b730ed61cb2720a730f00d61db27205731000d61eb2720e731100d61f9683070193c27209c2a793c17209c1a7938c721c018c721d01938c721c028c721d02938c720b01720793b27210731200721e93b1720a7313d62086028300027314d621b2a4731500d622db63087221d62395ef7208ed938cb2722273160001731792b1a473187319d624e4c672210411d625b2a5731a00d626db63087225d627b27222731b00d1ecec957208d801d628b2a5731c00958f720c720dd805d629b27202731d00d62a8c722902d62be4c672010411d62ce4c67201050ed62db2db63087228731e0096831101721f9372119a720f722a93721272139372159a7214731f937216721793720c99720d732093cbc27201721893b2722b732100721392b2722b732200997219732393722cc5a7720893721a7324938c722901721b92722a732593c27228e4c6b2a4732600050e938c722d01722c938c722d027327d807d629b27202732800d62a8c722902d62bb2a4732900d62c8cb2db6308722b732a01722002d62de4c672010411d62ee4c67201050ed62fb2db63087228732b0096831101721f937211999a720f722a722c93721272139372157214937216721793720c720d93cbc27201721893cbc2722b721893b2722d732c00721393722de4c6722b041193722ee4c6722b050e720893721a732d938c722901721b93722a9a722c8cb2db6308b2a4732e01b2a4732f0073300002938c722f01722e938c722f0273317332957223d802d628b2a4733300d629e4c67228041196830901721f938cb2db6308722873340001733593b27229733600997213733793b2722973380073399372129a7213733a93721572149372169a7217721e8f7216721993720c720d733b9595efec72087223eded91720f721192b1a4733c91b17222733d733ed806d628b27224733f00d62999720f7211d62ab27222734000d62b998c722a027229d62c93722b7341d62d8c722a0196830a01721f937228721393721199720f7229937212721393721599721495722c73427343937216721793720c9a720d95722c73447345937204722d93721a72299591722b7346d804d62eb272267347017220d62fb272267348017220d630c672250411d63195e67230e472308302057349734a96830901938cb27202734b01722001e4c67221050e93c17225c17221938c722e018c722701938c722e028c722702938c722f01722d938c722f02722b92722b734c93b27231734d00722893b27231734e00b27224734f0073507351",
"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": "110580dac4090002808eab9da36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,0,1,1653995824000,3600000]"
}
}
},
{
"boxId": "e5132b21701daf34fa5cd8ccb42ab3cf389a76e770d35aef9495b8a764689f3f",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "781ba3be1984754123e053d091a68d8b15b40fc35b5865aa6a131677ffb181c6",
"outputTransactionId": "0ed3ecf30c1df48d28e121edc86183c19c08b86312b203c09f361c23443e03b4",
"outputIndex": 1,
"outputGlobalIndex": 17362346,
"outputCreatedAt": 762371,
"outputSettledAt": 762373,
"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: 2\n9: 1\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](1))\n sigmaProp(if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box4 = OUTPUTS(placeholder[Int](5))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](6))\n val coll8 = INPUTS(placeholder[Int](7)).tokens\n val l9 = if (coll8.size >= placeholder[Int](8)) { coll8(placeholder[Int](9))._2 } else { placeholder[Long](10) }\n val l10 = tuple7._2 + l9\n val coll11 = tuple7._1\n val l12 = l3 / placeholder[Long](11)\n val box13 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](box4.propositionBytes == SELF.propositionBytes, coll5(placeholder[Int](13))._1 == coll6(placeholder[Int](14))._1, if (l10 > l3) {(\n val tuple14 = coll5(placeholder[Int](15))\n (tuple14._1 == coll11) && (tuple14._2 == l10 - l3)\n )} else { coll5.size == placeholder[Int](16) }, box4.R4[Coll[Long]].get == coll2, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l3 - l12 - l9, if (coll5.size > placeholder[Int](20)) {(\n val tuple14 = box13.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box13.propositionBytes == placeholder[Coll[Byte]](22), box13.value == placeholder[Long](23), tuple14._1 == coll11, tuple14._2 == l12))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == SELF.id) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "43ab4a089ddaa157379e9aa2d34d0d23def3ee858ddf7aba8464e47dee572a8c",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 100000000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20880906d12bd27f3a26ce43381334f6cbb52057e4ac174476656aa28a9eca7617",
"sigmaType": "Coll[SByte]",
"renderedValue": "880906d12bd27f3a26ce43381334f6cbb52057e4ac174476656aa28a9eca7617"
}
}
},
{
"boxId": "bcd05328a356c8cc581ebcc03d62754768b0ae35a5a13533826288e627f0fba3",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "781ba3be1984754123e053d091a68d8b15b40fc35b5865aa6a131677ffb181c6",
"outputTransactionId": "0ed3ecf30c1df48d28e121edc86183c19c08b86312b203c09f361c23443e03b4",
"outputIndex": 2,
"outputGlobalIndex": 17362347,
"outputCreatedAt": 762371,
"outputSettledAt": 762373,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: 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)\n4: 0\n5: 0\n6: 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)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "77504608cc51fc265fd3f782e4cc443d46aa9c98c4bb3e5629ea445cafcf095d",
"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104000100c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,-1,0,273900000]"
}
}
},
{
"boxId": "fd3e821f547d9c817b8e9d17a81b42bfc0079de6af03ab10a66a7dafc909c21f",
"value": 100000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "17a8be832c8917a99d9aa067388668d1f1ee8099dd0c034e4c29575f9c439ed2",
"outputTransactionId": "799c3d03b780c6c188c99f9132e47a9c9823a78269dbf51c9b01e7bece68929c",
"outputIndex": 3,
"outputGlobalIndex": 17363144,
"outputCreatedAt": 762386,
"outputSettledAt": 762388,
"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": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "fcfee2793bf0a5757c9f1e43c3a6a81fc8dc478ee3d6886d0fbba8a5926edded",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 1000000,
"index": 0,
"globalIndex": 17363717,
"creationHeight": 762400,
"settlementHeight": 762402,
"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": "1105d0b4918c02020280c8e2a0a36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[281161000,1,1,1653999424000,3600000]"
}
},
"spentTransactionId": "54964be32d56c394d751510b5aa89f325d881f6ba9ae690d42279aba34e5eb3b",
"mainChain": true
},
{
"boxId": "7a12f6af9bc03259c4607c95ed65a604e9433c3fcf0e3dfdf48729fee60d2bc5",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 1000000,
"index": 1,
"globalIndex": 17363718,
"creationHeight": 762400,
"settlementHeight": 762402,
"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: 2\n9: 1\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](1))\n sigmaProp(if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box4 = OUTPUTS(placeholder[Int](5))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](6))\n val coll8 = INPUTS(placeholder[Int](7)).tokens\n val l9 = if (coll8.size >= placeholder[Int](8)) { coll8(placeholder[Int](9))._2 } else { placeholder[Long](10) }\n val l10 = tuple7._2 + l9\n val coll11 = tuple7._1\n val l12 = l3 / placeholder[Long](11)\n val box13 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](box4.propositionBytes == SELF.propositionBytes, coll5(placeholder[Int](13))._1 == coll6(placeholder[Int](14))._1, if (l10 > l3) {(\n val tuple14 = coll5(placeholder[Int](15))\n (tuple14._1 == coll11) && (tuple14._2 == l10 - l3)\n )} else { coll5.size == placeholder[Int](16) }, box4.R4[Coll[Long]].get == coll2, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l3 - l12 - l9, if (coll5.size > placeholder[Int](20)) {(\n val tuple14 = box13.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box13.propositionBytes == placeholder[Coll[Byte]](22), box13.value == placeholder[Long](23), tuple14._1 == coll11, tuple14._2 == l12))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == SELF.id) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "43ab4a089ddaa157379e9aa2d34d0d23def3ee858ddf7aba8464e47dee572a8c",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 99726100000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20880906d12bd27f3a26ce43381334f6cbb52057e4ac174476656aa28a9eca7617",
"sigmaType": "Coll[SByte]",
"renderedValue": "880906d12bd27f3a26ce43381334f6cbb52057e4ac174476656aa28a9eca7617"
}
},
"spentTransactionId": "54964be32d56c394d751510b5aa89f325d881f6ba9ae690d42279aba34e5eb3b",
"mainChain": true
},
{
"boxId": "f41e3dd3e5267a556d2003e0d9917480cb23c447d7bc3ac4d8c86e29d1bb6e36",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 1000000,
"index": 2,
"globalIndex": 17363719,
"creationHeight": 762400,
"settlementHeight": 762402,
"ergoTree": "102d0400040404020e20001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3040004000e203bedcfe89695c43999dcbfa83bc8c680c71fed1e98e8ea2c9885deea615fe4d90404040604000402040205000402040004060400040605c8010400040001000402040004000e20e0113570957d605300b8c7f3373143de9e075b4d66633ea119b61577ee860889040004020100040606010004020400040004000402040204000404040004040404040404060100d807d601b2a4730000d602c5a7d603b2a5730100d604b2a4730200d6057303d606b2a5730400d607db6308a7d1ec9596830201938cb2db6308720173050001730693c5b2a47307007202d807d608e4c672030411d609b27208730800d60ab2e4c672040411730900d60bdb6308a7d60c9a8cb2db63087204730a00028cb2720b730b018602830002730c02d60ddb63087203d60eb2720d730d009683060193c27203c2a793b47208730e730fb4e4c67201041173107311937209958f720a720c99720a9d720a7312720c938cb2720d731300018cb2720b73140001938c720e017205938c720e02720973159593c572017202d807d608db63087206d6097e8cb272077316000206d60ab5a4d9010a63d801d60cdb6308720a9591b1720c7317ed938cb2720c73180001731993b2e4c6720a0411731a00b2e4c6a70411731b00731cd60be4c6a70411d60cb2720b731d00d60db0720a731ed9010d42639a8c720d019d9c7e8cb2db63088c720d02731f0002067e720c067eb2720b73200006d60ee4c6720604119683060193c27206c2a7938cb27208732100018cb272077322000195907209720d93b172087323d801d60fb27208732400ed938c720f017205927e8c720f0206997209720d93b4720e73257326b4720b7327732893b2720e73290099b2720b732a007eb1720a0593b2720e732b00720c732c",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: 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)\n4: 0\n5: 0\n6: 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)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: 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)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "77504608cc51fc265fd3f782e4cc443d46aa9c98c4bb3e5629ea445cafcf095d",
"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 271161000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480dac4090002d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,0,1,271161000]"
}
},
"spentTransactionId": "df268a30f086983d4064e2b64aa7f411b8494137b40e10ae3274395e26f20631",
"mainChain": true
},
{
"boxId": "ec8acf973b9aba0b057e912f541424b281cceef67b3e272651e2a73cf641ddab",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 1000000,
"index": 3,
"globalIndex": 17363720,
"creationHeight": 762400,
"settlementHeight": 762402,
"ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
"address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
"assets": [
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 0,
"amount": 2739000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a388e9628accccd01b727888c2b9a56f925b2e6358b394435103b08a5f2b79b5",
"mainChain": true
},
{
"boxId": "89561ea25a75488f0bded7bc42c1d185b23abc6e6504f7fbfee14390cbf1c34c",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 95000000,
"index": 4,
"globalIndex": 17363721,
"creationHeight": 762400,
"settlementHeight": 762402,
"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": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "df268a30f086983d4064e2b64aa7f411b8494137b40e10ae3274395e26f20631",
"mainChain": true
},
{
"boxId": "ce39ff04cc7dc6143e75c7865a0073e3cfe8f9c867229bd48756c11be9dea695",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 3000000,
"index": 5,
"globalIndex": 17363722,
"creationHeight": 762400,
"settlementHeight": 762402,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1ce0238710319537d618dbfe9f0b389cbf92df5614135b173e792bf199fd1844",
"mainChain": true
},
{
"boxId": "5a4f3b94fa0bfa9e491ab82ca5e67ddfddb051310d3cd68b547382ebd3c878cf",
"transactionId": "b35d849e2ab3bdb78819b5d5605e9e667d7930da1bfba0a0ec24e9ca85a69a41",
"blockId": "2e8b0914b382389d29b57e45b9e847041b431e0ed8014e4e72a579ffbb5f0d74",
"value": 1000000,
"index": 6,
"globalIndex": 17363723,
"creationHeight": 762400,
"settlementHeight": 762402,
"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": "8509d382301e3e656b427377cb45eaff73bef65b53fd3c96bd1468c44f3a626b",
"mainChain": true
}
],
"size": 3918,
"isUnconfirmed": false
}