Transaction
ID: 4ccaeaaa1b...a24d
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:
1.65 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:
1.65 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: 996,127
Total coins transferred: 1.66 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000254 ERG
Raw Transaction Data
{
"id": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"inclusionHeight": 761098,
"timestamp": 1653924772340,
"index": 4,
"globalIndex": 3268488,
"numConfirmations": 996127,
"inputs": [
{
"boxId": "5a37f7f9abe268d120df290bcc9aeff1abd1e799c57f4d19ce1a47faeb4c8461",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0646b211fd9a6a0d38a7bc64324bb38b893ab5354f322caa989176f1da4185d7",
"outputTransactionId": "c281ce14ce037f5e9cf081591940fcfc93a0c0e48c8312cbcfe87baa4727fdcb",
"outputIndex": 0,
"outputGlobalIndex": 17295654,
"outputCreatedAt": 761095,
"outputSettledAt": 761097,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(83,-117,-47,-91,70,-53,-85,3,40,9,81,53,-71,77,62,-70,55,4,127,87,-46,70,127,117,67,40,4,1,-86,71,-40,17)\n6: 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)\n7: 0\n8: 0\n9: 4\n10: 4\n11: 2\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 3\n23: 3\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 1\n36: 2\n37: 0\n38: 0\n39: 0\n40: 1\n41: 2\n42: 2\n43: 3\n44: 3\n45: 0\n46: 1\n47: 2\n48: 1\n49: 1\n50: 1\n51: 0\n52: Coll(12,22,-52,-13,-100,37,102,113,-32,103,49,-53,105,80,-31,46,-16,-124,-57,113,-115,5,54,-9,-90,91,126,-34,88,-123,99,115)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(88,-7,-3,-67,116,14,12,77,-125,27,-33,-13,-83,11,-38,4,95,92,119,-23,2,-58,109,-16,-33,-121,-101,-40,83,-18,-62,-63)\n59: 1\n60: 1\n61: 2\n62: 0\n63: 1\n64: 1\n65: 2\n66: 2\n67: 3\n68: 0\n69: 0\n70: 3\n71: 1\n72: 0\n73: 1\n74: 1\n75: 0\n76: 2\n77: 0\n78: 1\n79: 2\n80: 2\n81: 1\n82: 0\n83: 3\n84: 3\n85: 1\n86: 0\n87: 0\n88: 2\n89: 0\n90: 1\n91: 1\n92: 1000\n93: 0\n94: 1\n95: 1\n96: true\n97: 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 = box9.R4[Coll[Long]].get\n val coll15 = SELF.R4[Coll[Long]].get\n val coll16 = placeholder[Coll[Byte]](5)\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = tuple3._2\n val coll19 = placeholder[Coll[Byte]](6)\n val tuple20 = coll10(placeholder[Int](7))\n val tuple21 = coll5(placeholder[Int](8))\n val l22 = coll15(placeholder[Int](9))\n val bool23 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple20._1 == tuple21._1, tuple20._2 == tuple21._2, tuple11._1 == coll7, coll14(\n placeholder[Int](10)\n ) == l22, coll10.size == placeholder[Int](11)\n )\n )\n if (bool8) { if (l12 < l13) {(\n val tuple24 = coll2(placeholder[Int](12))\n val l25 = tuple24._2\n val l26 = coll15(placeholder[Int](13))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](14))\n val tuple30 = box29.tokens(placeholder[Int](15))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](16)) == coll15(placeholder[Int](17)) + l25, coll14(placeholder[Int](18)) == l26, coll14(placeholder[Int](19)) == coll15(placeholder[Int](20)) + placeholder[Long](21), coll14(placeholder[Int](22)) == coll15(placeholder[Int](23)), l12 == l13 - placeholder[Long](24), blake2b256(box1.propositionBytes) == coll16, coll27(placeholder[Int](25)) == l26, coll27(placeholder[Int](26)) >= l17 - placeholder[Long](27), coll28 == SELF.id, bool8, l18 == placeholder[Long](28), tuple24._1 == coll19, l25 >= placeholder[Long](29), box29.propositionBytes == INPUTS(placeholder[Int](30)).R5[Coll[Byte]].get, tuple30._1 == coll28, tuple30._2 == placeholder[Long](31))))\n )} else {(\n val tuple24 = coll2(placeholder[Int](32))\n val l25 = tuple24._2\n val box26 = INPUTS(placeholder[Int](33))\n val l27 = box26.tokens(placeholder[Int](34))._2\n val l28 = coll15(placeholder[Int](35))\n val coll29 = box1.R4[Coll[Long]].get\n val coll30 = box1.R5[Coll[Byte]].get\n val tuple31 = OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](38)) == coll15(placeholder[Int](39)) + l25 - l27, coll14(placeholder[Int](40)) == l28, coll14(placeholder[Int](41)) == coll15(placeholder[Int](42)), coll14(placeholder[Int](43)) == coll15(placeholder[Int](44)), l12 == l13, blake2b256(box1.propositionBytes) == coll16, blake2b256(box26.propositionBytes) == coll16, coll29(placeholder[Int](45)) == l28, coll29 == box26.R4[Coll[Long]].get, coll30 == box26.R5[Coll[Byte]].get, bool8, l18 == placeholder[Long](46), tuple24._1 == coll19, l25 == l27 + INPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2, tuple31._1 == coll30, tuple31._2 == placeholder[Long](49))))\n )} } else {(\n val box24 = INPUTS(placeholder[Int](50))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](51))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](52)) && (INPUTS.size >= placeholder[Int](53))) {(\n val box28 = INPUTS(placeholder[Int](54))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll15(placeholder[Int](55))\n val l31 = coll14(placeholder[Int](56))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box28.tokens(placeholder[Int](57))._1 == placeholder[Coll[Byte]](58), coll29(placeholder[Int](59)) == l30 - placeholder[Long](60), coll29(\n placeholder[Int](61)\n ) == placeholder[Long](62), coll14(placeholder[Int](63)) == l30 + placeholder[Long](64), coll14(placeholder[Int](65)) == coll15(\n placeholder[Int](66)\n ), l31 == coll15(placeholder[Int](67)) + l22, l31 < l17, l12 == l13\n )\n )\n )\n )} else {(\n val l28 = coll15(placeholder[Int](68))\n val l29 = coll14(placeholder[Int](69))\n if (((l28 > l29) && (INPUTS.size >= placeholder[Int](70))) && (coll25.size > placeholder[Int](71))) {(\n val coll30 = box24.R5[Coll[Byte]].get\n val coll31 = box24.R4[Coll[Long]].get\n val l32 = coll31(placeholder[Int](72))\n val l33 = coll15(placeholder[Int](73))\n val l34 = l28 - l29\n val tuple35 = coll25(placeholder[Int](74))\n val l36 = tuple35._2 - l34\n val bool37 = l36 == placeholder[Long](75)\n val coll38 = tuple35._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, INPUTS(placeholder[Int](76)).tokens(placeholder[Int](77))._1 == coll30, l32 == l33, l29 == l28 - l34, coll14(\n placeholder[Int](78)\n ) == l33, coll14(placeholder[Int](79)) == coll15(placeholder[Int](80)) - if (bool37) { placeholder[Long](81) } else {\n placeholder[Long](82)\n }, coll14(placeholder[Int](83)) == coll15(placeholder[Int](84)), l12 == l13 + if (bool37) { placeholder[Long](85) } else {\n placeholder[Long](86)\n }, coll4 == coll38, l18 == l34, if (l36 > placeholder[Long](87)) {(\n val box39 = OUTPUTS(placeholder[Int](88))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](89))\n val tuple42 = coll40(placeholder[Int](90))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n coll2(\n placeholder[Int](91)\n )._1 == coll30, box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll38, tuple42._2 == l36, l36 >= placeholder[\n Long\n ](92), coll43(placeholder[Int](93)) == l32, coll43(placeholder[Int](94)) == coll31(placeholder[Int](95))\n )\n )\n )} else { placeholder[Boolean](96) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](97)) }\n )}\n )}\n}",
"address": "mWqkTtZHc8NeCEcqKroNjLREkBRJ9sGH6Q1cXqfhHuKPG3gqeHTubcrzoXPjGbn1tiCja11KoYY4P5G23b1U2UYy1ZLTt5adTHV312AxFf5y3qoAxbcd1HftHyrsn6bGwxp94zQyTiEUj1EUxv2bcqHEXCEq3ov9NS77fQq5HXZSHKuNaHDUnvxbeDAGKwQhCv7PaNovL885GdJvk5TdzPNetymVXxieY4tefAGrD4VrF5E8z55ov8xeqTSBw8Sxj9mHSnZAf5oTBeJHyKUp92nyqKW1jZYNnkheWNn78y1PhKy9iQoojgFXH87T6HFDuJZrZkw4R5VwQomBzMAQQ5yG6pH6yrKxQQpmXsoRbtkouMD3mMqYaYDoNA1C419fBsxot8RjV385kk53Qp69syveiKvuSS8umi4iqvwRSxKXPnXtgeBmDiBAe6ASqYNcYocSpZJm1GSqcnE1xzxvCg1QeWK4tYJ93dbyaFBwh9sjV1J7NEy719PTNEc2muy1YQNzzmr9huSKVmp7wyd7CCxwP3fiQSGpsaxZmMYL2dXaZ7ZumTAMNSXpPi3sHSgmXJ7nFdmN4tTGJHrSLLSymezYQ72jYFacMtmYqRPR1NRAEq86NrsDwdpuzScPd3UXBkqq3xCNZi1nNCT2oQRXmL1hF3JtQfGineEEe6ULgdbbXCy1BRdhdFu5PZ1CCxFjDiBC76DjrhG7XQKbK2L3FwZnk1czzXHc6ABKk2RGbaiesDt9wzx4b2z7S7NQCf1d7Bb6kn91BaSK3ovoFdyfg1UBirpqMg8KCEKY7tvcHFNV5mtop8QvyDjd7RucQ4fh6m4KDonhbw8D3TNFED13TXA2BYp2xvGia6h7ist8pvVn3PXKUnDrpxar2BQ4r7qT1NYFo9d3rizrbrzXVKYjTeTNTVFG4rRgN4EnabBPB8bK1iJymrEBSUzyAL8DYGAnfmhqQsD3SRvTdZYCTh2oUf5ax5UqRucyiU2ZQLo19izYmqXZsQ8w2e6rPRQcyPRDZwgcmqxUHQqSwosksF8qEdnzJMH9Sg9ZnsRLNWj1SUArjeohSRyVqt9HvqJtbkcEMyMFWPse66h99i87ZUA5DpdUxh8rWGd4KBgx53FJ2euEhNK8hu2auZWGndku6yruEESJDfGWWSCdR855ZzGVUHcyDpJSdDP9Pdan3eUFJsXY4WcSxkSfeiLXTWWwrHvSyTqJxbnZDQVKeUtGMtKc4T2PMnicRDuefQbLoN6S7S7yESTXT3rhASv2Pigr27USmNk5JbF5ELJcKR1xmMMh7C3uSckY4C8EfRFh7Auq4418jxnR9nsqBhfpxQCsr3JCLAGxHEYGBKytXdzHSD6L9gHWtT9cNVJbiUGY9XkNFV6wSyEtbA2pvFdfB8paQoVCsey7WgA35riM2WGV6MNt9byQMbp3MogC3cgT4Lc1C6QrWAznGBvBeAzt7Bkcvx4BwUB821qt4baM7xTjugYeeJksa4aTCoBkDZAyh9PSXL7vCFanX9HgxrnBs9BWtnGEtBar53imTihoDUYHjqsJivxRRtCcsmQYk3SYe7VWkai5riCDBHnUZYKsYeuN9bi1ydGcrETitGDouorR9P61uigaB4J2KWfBUg4f9GWErU3egzHunQcwN2D7i3dxw56fACRkgEabXvvEZ9Ewf5vabnuUTaj24KotWt5vcmabBT5x41GMq4X2MxYPKgviyQXMkNJENd49LNpGeUw4mbXUX2dMrUqLGSQKR68xrpJuBwcXSQ5i4gMW1YNQDYuxFExRsfpc96urob6LL9L9PUhus3iqsTR99EogSWfRjFos1DuiUBn6y16PxZeFV5pTc6pdErCczcpMyqKstsPJ64bPYJL6ZqTp41S1t2wZYghRRv5uqzERTZk3ESXJipwUp7BZE3sfCubnKCXLU1yq9C8djj2hYYKkZVG4mvNY3aWFsEKdmGUAsn8yG2tLHjpBuxN48SAgJna2sRDPSuirUFu38DX24xGAsdFzADJ9ZVN4aUNdcBxqts5Bged4WF",
"assets": [
{
"tokenId": "4cdc113b47662a0e7ca3bf0cc1db7d9325e6281fa4525585cad96b0adf5b1a7a",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "86b63db217e780e8f7015ae9cd83564795c7ee30c8c40b99105ee10b3778d448",
"index": 1,
"amount": 999999999993,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105ce92c4b0c703b0030ee0f29ef29f6080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[61119956135,216,7,1653547982000,3600000]"
}
}
},
{
"boxId": "83457518e922ebd8d5079369ab4cd63d24b3bd305e29ba226f8cd4760770beee",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "0646b211fd9a6a0d38a7bc64324bb38b893ab5354f322caa989176f1da4185d7",
"outputTransactionId": "c281ce14ce037f5e9cf081591940fcfc93a0c0e48c8312cbcfe87baa4727fdcb",
"outputIndex": 1,
"outputGlobalIndex": 17295655,
"outputCreatedAt": 761095,
"outputSettledAt": 761097,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 3\n22: 0\n23: 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)\n24: 1000000\n25: true\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n val coll10 = tuple5._1\n val l11 = l9 / placeholder[Long](11)\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](12))._1 == coll4(placeholder[Int](13))._1, if (l8 > l9) {(\n val tuple12 = coll3(placeholder[Int](14))\n (tuple12._1 == coll10) && (tuple12._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](15) }, box2.R4[Coll[Long]].get(placeholder[Int](16)) == l9, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l9 - l11 - l7, if (coll3.size > placeholder[Int](20)) {(\n val box12 = OUTPUTS(placeholder[Int](21))\n val tuple13 = box12.tokens(placeholder[Int](22))\n allOf(Coll[Boolean](box12.propositionBytes == placeholder[Coll[Byte]](23), box12.value == placeholder[Long](24), tuple13._1 == coll10, tuple13._2 == l11))\n )} else { placeholder[Boolean](25) }))\n )\n )} else {\n if (box1.id == SELF.id) { sigmaProp(OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get) } else {\n sigmaProp(placeholder[Boolean](28))\n }\n }\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 49196515529,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20dfdf8f7f51f922b4c8026861a990f331505af6f04169119e2ee66ea1c84910f6",
"sigmaType": "Coll[SByte]",
"renderedValue": "dfdf8f7f51f922b4c8026861a990f331505af6f04169119e2ee66ea1c84910f6"
}
}
},
{
"boxId": "c320f4f94420b4f04e76c4b3667aa12ff855e7b360b988f9c8fd8a96d5405f84",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"outputTransactionId": "5f90dcf10758abcfb94b10dcc8bf7925fb14f412d184a7d5ad0e0161ae4c29f5",
"outputIndex": 0,
"outputGlobalIndex": 17295681,
"outputCreatedAt": 761095,
"outputSettledAt": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: 3\n3: 0\n4: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n5: 2\n6: 2\n7: 3\n8: 1\n9: 0\n10: 1\n11: 2\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 2\n20: 2\n21: 100\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: Coll(-122,-74,61,-78,23,-25,-128,-24,-9,1,90,-23,-51,-125,86,71,-107,-57,-18,48,-56,-60,11,-103,16,94,-31,11,55,120,-44,72)\n29: 0\n30: 1\n31: false\n32: 0\n33: CBigInt(0)\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 1\n41: 1\n42: 2\n43: 2\n44: 3\n45: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val coll3 = SELF.R4[Coll[Long]].get\n val l4 = coll3(placeholder[Int](2))\n if ((box1.tokens(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4)) && (INPUTS(placeholder[Int](5)).id == SELF.id)) {(\n val box5 = OUTPUTS(placeholder[Int](6))\n val coll6 = box5.R4[Coll[Long]].get\n val coll7 = box1.R4[Coll[Long]].get\n val l8 = coll6(placeholder[Int](7))\n val box9 = INPUTS(placeholder[Int](8))\n val l10 = box9.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box9.tokens(placeholder[Int](10))._2 + if (coll11.size >= placeholder[Int](11)) { coll11(placeholder[Int](12))._2 } else { placeholder[Long](13) }\n val coll13 = box5.tokens\n val tuple14 = coll13(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box5.propositionBytes == SELF.propositionBytes, coll6(placeholder[Int](15)) == coll7(placeholder[Int](16)), coll6(placeholder[Int](17)) == coll7(\n placeholder[Int](18)\n ), coll6(placeholder[Int](19)) == coll7(placeholder[Int](20)), l8 == if (l10 < l12) { l10 - l10 / placeholder[Long](21) } else { l12 }, coll13(\n placeholder[Int](22)\n )._1 == coll11(placeholder[Int](23))._1, tuple14._1 == coll2, tuple14._2 == l8\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box5 = OUTPUTS(placeholder[Int](24))\n val coll6 = box5.tokens\n val coll7 = SELF.tokens\n val bi8 = coll7(placeholder[Int](25))._2.toBigInt\n val coll9 = INPUTS.filter({(box9: Box) =>\n val coll11 = box9.tokens\n if (coll11.size > placeholder[Int](26)) { (coll11(placeholder[Int](27))._1 == placeholder[Coll[Byte]](28)) && (box9.R4[Coll[Long]].get(placeholder[Int](29)) == coll3(placeholder[Int](30))) } else { placeholder[Boolean](31) }\n })\n val l10 = coll3(placeholder[Int](32))\n val bi11 = coll9.fold(placeholder[BigInt](33), {(tuple11: (BigInt, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](34))._2.toBigInt * l4.toBigInt / l10.toBigInt })\n val coll12 = box5.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box5.propositionBytes == SELF.propositionBytes, coll6(placeholder[Int](35))._1 == coll7(placeholder[Int](36))._1, if (bi8 <= bi11) { coll6.size == placeholder[Int](37) } else {(\n val tuple13 = coll6(placeholder[Int](38))\n (tuple13._1 == coll2) && (tuple13._2.toBigInt >= bi8 - bi11)\n )}, coll12(placeholder[Int](39)) == l10, coll12(placeholder[Int](40)) == coll3(placeholder[Int](41)), coll12(placeholder[Int](42)) == coll3(placeholder[Int](43)) - coll9.size.toLong, coll12(placeholder[Int](44)) == l4)))\n )} else { sigmaProp(placeholder[Boolean](45)) } }\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 4,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110486b8f7adc503ae0300d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[60848795139,215,0,271161000]"
}
}
},
{
"boxId": "14ea8509b1a1cb7f1db4a030779ad2261ede1f6546b8fc3d750ae8dd87dfae64",
"value": 1652750000,
"index": 3,
"spendingProof": null,
"outputBlockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"outputTransactionId": "5f90dcf10758abcfb94b10dcc8bf7925fb14f412d184a7d5ad0e0161ae4c29f5",
"outputIndex": 8,
"outputGlobalIndex": 17295689,
"outputCreatedAt": 761095,
"outputSettledAt": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(88,-7,-3,-67,116,14,12,77,-125,27,-33,-13,-83,11,-38,4,95,92,119,-23,2,-58,109,-16,-33,-121,-101,-40,83,-18,-62,-63)\n1: 3\n2: 0\n3: 100000000\n4: 1\n5: 500000\n6: 2\n7: 1000000\n8: 0\n9: 0\n10: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n11: 2\n12: 0\n13: 4\n14: 1\n15: 3000000\n16: 1000000\n17: 1000000\n18: 5\n19: 3000000\n20: 6\n21: 1000000\n22: 1\n23: 0\n24: 0\n25: Coll(-122,-74,61,-78,23,-25,-128,-24,-9,1,90,-23,-51,-125,86,71,-107,-57,-18,48,-56,-60,11,-103,16,94,-31,11,55,120,-44,72)\n26: 0\n27: 1\n28: false\n29: 500000\n30: 150000\n31: 1000000\n32: 100000\n33: 1\n34: 2\n35: 0\n36: 0\n37: Coll(-33,-33,-113,127,81,-7,34,-76,-56,2,104,97,-87,-112,-13,49,80,90,-10,-16,65,105,17,-98,46,-26,110,-95,-56,73,16,-10)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n if (OUTPUTS.size == placeholder[Int](1)) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n val l4 = SELF.value\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.propositionBytes == coll3, box2.value > l4, l4 <= placeholder[Long](3), OUTPUTS(placeholder[Int](4)).value == placeholder[Long](\n 5\n ) * INPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 }).size.toLong, OUTPUTS(placeholder[Int](6)).value == placeholder[Long](7)\n )\n )\n )\n )} else {(\n val box2 = INPUTS(placeholder[Int](8))\n val coll3 = box2.tokens(placeholder[Int](9))._1\n if ((coll3 == placeholder[Coll[Byte]](10)) && (INPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == coll1)) {(\n val box4 = OUTPUTS(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](14)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[\n Long\n ](15) - placeholder[Long](16) - placeholder[Long](17), OUTPUTS(placeholder[Int](18)).value == placeholder[Long](19), OUTPUTS(\n placeholder[Int](20)\n ).value == placeholder[Long](21)\n )\n )\n )\n )} else { if (coll3 == coll1) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](22)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](23)) { (coll9(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box7.R4[Coll[Long]].get(placeholder[Int](26)) == box2.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n }).size\n val l8 = i7.toLong\n val l9 = placeholder[Long](29) + placeholder[Long](30) * l8\n val l10 = placeholder[Long](31) + placeholder[Long](32) * l8\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - l9 - l10, OUTPUTS(i4).value == l9, OUTPUTS(i4 + placeholder[Int](33)).value == l10, i4 == i7 + placeholder[Int](34))))\n )} else { sigmaProp(OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) } }\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8d16648596ed727ae7f2f8ef87590d0132e96920014f48bb1d0bf531e13e33f5",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1000000,
"index": 0,
"globalIndex": 17295698,
"creationHeight": 761095,
"settlementHeight": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(83,-117,-47,-91,70,-53,-85,3,40,9,81,53,-71,77,62,-70,55,4,127,87,-46,70,127,117,67,40,4,1,-86,71,-40,17)\n6: 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)\n7: 0\n8: 0\n9: 4\n10: 4\n11: 2\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 3\n23: 3\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 1\n36: 2\n37: 0\n38: 0\n39: 0\n40: 1\n41: 2\n42: 2\n43: 3\n44: 3\n45: 0\n46: 1\n47: 2\n48: 1\n49: 1\n50: 1\n51: 0\n52: Coll(12,22,-52,-13,-100,37,102,113,-32,103,49,-53,105,80,-31,46,-16,-124,-57,113,-115,5,54,-9,-90,91,126,-34,88,-123,99,115)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(88,-7,-3,-67,116,14,12,77,-125,27,-33,-13,-83,11,-38,4,95,92,119,-23,2,-58,109,-16,-33,-121,-101,-40,83,-18,-62,-63)\n59: 1\n60: 1\n61: 2\n62: 0\n63: 1\n64: 1\n65: 2\n66: 2\n67: 3\n68: 0\n69: 0\n70: 3\n71: 1\n72: 0\n73: 1\n74: 1\n75: 0\n76: 2\n77: 0\n78: 1\n79: 2\n80: 2\n81: 1\n82: 0\n83: 3\n84: 3\n85: 1\n86: 0\n87: 0\n88: 2\n89: 0\n90: 1\n91: 1\n92: 1000\n93: 0\n94: 1\n95: 1\n96: true\n97: 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 = box9.R4[Coll[Long]].get\n val coll15 = SELF.R4[Coll[Long]].get\n val coll16 = placeholder[Coll[Byte]](5)\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = tuple3._2\n val coll19 = placeholder[Coll[Byte]](6)\n val tuple20 = coll10(placeholder[Int](7))\n val tuple21 = coll5(placeholder[Int](8))\n val l22 = coll15(placeholder[Int](9))\n val bool23 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple20._1 == tuple21._1, tuple20._2 == tuple21._2, tuple11._1 == coll7, coll14(\n placeholder[Int](10)\n ) == l22, coll10.size == placeholder[Int](11)\n )\n )\n if (bool8) { if (l12 < l13) {(\n val tuple24 = coll2(placeholder[Int](12))\n val l25 = tuple24._2\n val l26 = coll15(placeholder[Int](13))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](14))\n val tuple30 = box29.tokens(placeholder[Int](15))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](16)) == coll15(placeholder[Int](17)) + l25, coll14(placeholder[Int](18)) == l26, coll14(placeholder[Int](19)) == coll15(placeholder[Int](20)) + placeholder[Long](21), coll14(placeholder[Int](22)) == coll15(placeholder[Int](23)), l12 == l13 - placeholder[Long](24), blake2b256(box1.propositionBytes) == coll16, coll27(placeholder[Int](25)) == l26, coll27(placeholder[Int](26)) >= l17 - placeholder[Long](27), coll28 == SELF.id, bool8, l18 == placeholder[Long](28), tuple24._1 == coll19, l25 >= placeholder[Long](29), box29.propositionBytes == INPUTS(placeholder[Int](30)).R5[Coll[Byte]].get, tuple30._1 == coll28, tuple30._2 == placeholder[Long](31))))\n )} else {(\n val tuple24 = coll2(placeholder[Int](32))\n val l25 = tuple24._2\n val box26 = INPUTS(placeholder[Int](33))\n val l27 = box26.tokens(placeholder[Int](34))._2\n val l28 = coll15(placeholder[Int](35))\n val coll29 = box1.R4[Coll[Long]].get\n val coll30 = box1.R5[Coll[Byte]].get\n val tuple31 = OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](38)) == coll15(placeholder[Int](39)) + l25 - l27, coll14(placeholder[Int](40)) == l28, coll14(placeholder[Int](41)) == coll15(placeholder[Int](42)), coll14(placeholder[Int](43)) == coll15(placeholder[Int](44)), l12 == l13, blake2b256(box1.propositionBytes) == coll16, blake2b256(box26.propositionBytes) == coll16, coll29(placeholder[Int](45)) == l28, coll29 == box26.R4[Coll[Long]].get, coll30 == box26.R5[Coll[Byte]].get, bool8, l18 == placeholder[Long](46), tuple24._1 == coll19, l25 == l27 + INPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2, tuple31._1 == coll30, tuple31._2 == placeholder[Long](49))))\n )} } else {(\n val box24 = INPUTS(placeholder[Int](50))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](51))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](52)) && (INPUTS.size >= placeholder[Int](53))) {(\n val box28 = INPUTS(placeholder[Int](54))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll15(placeholder[Int](55))\n val l31 = coll14(placeholder[Int](56))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box28.tokens(placeholder[Int](57))._1 == placeholder[Coll[Byte]](58), coll29(placeholder[Int](59)) == l30 - placeholder[Long](60), coll29(\n placeholder[Int](61)\n ) == placeholder[Long](62), coll14(placeholder[Int](63)) == l30 + placeholder[Long](64), coll14(placeholder[Int](65)) == coll15(\n placeholder[Int](66)\n ), l31 == coll15(placeholder[Int](67)) + l22, l31 < l17, l12 == l13\n )\n )\n )\n )} else {(\n val l28 = coll15(placeholder[Int](68))\n val l29 = coll14(placeholder[Int](69))\n if (((l28 > l29) && (INPUTS.size >= placeholder[Int](70))) && (coll25.size > placeholder[Int](71))) {(\n val coll30 = box24.R5[Coll[Byte]].get\n val coll31 = box24.R4[Coll[Long]].get\n val l32 = coll31(placeholder[Int](72))\n val l33 = coll15(placeholder[Int](73))\n val l34 = l28 - l29\n val tuple35 = coll25(placeholder[Int](74))\n val l36 = tuple35._2 - l34\n val bool37 = l36 == placeholder[Long](75)\n val coll38 = tuple35._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, INPUTS(placeholder[Int](76)).tokens(placeholder[Int](77))._1 == coll30, l32 == l33, l29 == l28 - l34, coll14(\n placeholder[Int](78)\n ) == l33, coll14(placeholder[Int](79)) == coll15(placeholder[Int](80)) - if (bool37) { placeholder[Long](81) } else {\n placeholder[Long](82)\n }, coll14(placeholder[Int](83)) == coll15(placeholder[Int](84)), l12 == l13 + if (bool37) { placeholder[Long](85) } else {\n placeholder[Long](86)\n }, coll4 == coll38, l18 == l34, if (l36 > placeholder[Long](87)) {(\n val box39 = OUTPUTS(placeholder[Int](88))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](89))\n val tuple42 = coll40(placeholder[Int](90))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n coll2(\n placeholder[Int](91)\n )._1 == coll30, box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll38, tuple42._2 == l36, l36 >= placeholder[\n Long\n ](92), coll43(placeholder[Int](93)) == l32, coll43(placeholder[Int](94)) == coll31(placeholder[Int](95))\n )\n )\n )} else { placeholder[Boolean](96) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](97)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "4cdc113b47662a0e7ca3bf0cc1db7d9325e6281fa4525585cad96b0adf5b1a7a",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "86b63db217e780e8f7015ae9cd83564795c7ee30c8c40b99105ee10b3778d448",
"index": 1,
"amount": 999999999993,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110596ed90b3c903b2030ee0acd6f59f6080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[61391117131,217,7,1653551582000,3600000]"
}
},
"spentTransactionId": "3501f7de67c90f5ab318127cb53b7277b317db672dd4e352731016b520d99a63",
"mainChain": true
},
{
"boxId": "8b31270cf241fd472b5bc6b99dd3ca333e5efd17332d7a524d7852e095932a2a",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1000000,
"index": 1,
"globalIndex": 17295699,
"creationHeight": 761095,
"settlementHeight": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 3\n22: 0\n23: 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)\n24: 1000000\n25: true\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n val coll10 = tuple5._1\n val l11 = l9 / placeholder[Long](11)\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](12))._1 == coll4(placeholder[Int](13))._1, if (l8 > l9) {(\n val tuple12 = coll3(placeholder[Int](14))\n (tuple12._1 == coll10) && (tuple12._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](15) }, box2.R4[Coll[Long]].get(placeholder[Int](16)) == l9, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l9 - l11 - l7, if (coll3.size > placeholder[Int](20)) {(\n val box12 = OUTPUTS(placeholder[Int](21))\n val tuple13 = box12.tokens(placeholder[Int](22))\n allOf(Coll[Boolean](box12.propositionBytes == placeholder[Coll[Byte]](23), box12.value == placeholder[Long](24), tuple13._1 == coll10, tuple13._2 == l11))\n )} else { placeholder[Boolean](25) }))\n )\n )} else {\n if (box1.id == SELF.id) { sigmaProp(OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get) } else {\n sigmaProp(placeholder[Boolean](28))\n }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "0c16ccf39c256671e06731cb6950e12ef084c7718d0536f7a65b7ede58856373",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 48922615533,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20dfdf8f7f51f922b4c8026861a990f331505af6f04169119e2ee66ea1c84910f6",
"sigmaType": "Coll[SByte]",
"renderedValue": "dfdf8f7f51f922b4c8026861a990f331505af6f04169119e2ee66ea1c84910f6"
}
},
"spentTransactionId": "3501f7de67c90f5ab318127cb53b7277b317db672dd4e352731016b520d99a63",
"mainChain": true
},
{
"boxId": "467acd0bf32dde3ce715c796a6d772b89480a68c046307ffbe90a15a4cb6f65d",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1000000,
"index": 2,
"globalIndex": 17295700,
"creationHeight": 761095,
"settlementHeight": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: 3\n3: 0\n4: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n5: 2\n6: 2\n7: 3\n8: 1\n9: 0\n10: 1\n11: 2\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 2\n20: 2\n21: 100\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0\n28: Coll(-122,-74,61,-78,23,-25,-128,-24,-9,1,90,-23,-51,-125,86,71,-107,-57,-18,48,-56,-60,11,-103,16,94,-31,11,55,120,-44,72)\n29: 0\n30: 1\n31: false\n32: 0\n33: CBigInt(0)\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 1\n41: 1\n42: 2\n43: 2\n44: 3\n45: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val coll3 = SELF.R4[Coll[Long]].get\n val l4 = coll3(placeholder[Int](2))\n if ((box1.tokens(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4)) && (INPUTS(placeholder[Int](5)).id == SELF.id)) {(\n val box5 = OUTPUTS(placeholder[Int](6))\n val coll6 = box5.R4[Coll[Long]].get\n val coll7 = box1.R4[Coll[Long]].get\n val l8 = coll6(placeholder[Int](7))\n val box9 = INPUTS(placeholder[Int](8))\n val l10 = box9.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box9.tokens(placeholder[Int](10))._2 + if (coll11.size >= placeholder[Int](11)) { coll11(placeholder[Int](12))._2 } else { placeholder[Long](13) }\n val coll13 = box5.tokens\n val tuple14 = coll13(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box5.propositionBytes == SELF.propositionBytes, coll6(placeholder[Int](15)) == coll7(placeholder[Int](16)), coll6(placeholder[Int](17)) == coll7(\n placeholder[Int](18)\n ), coll6(placeholder[Int](19)) == coll7(placeholder[Int](20)), l8 == if (l10 < l12) { l10 - l10 / placeholder[Long](21) } else { l12 }, coll13(\n placeholder[Int](22)\n )._1 == coll11(placeholder[Int](23))._1, tuple14._1 == coll2, tuple14._2 == l8\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box5 = OUTPUTS(placeholder[Int](24))\n val coll6 = box5.tokens\n val coll7 = SELF.tokens\n val bi8 = coll7(placeholder[Int](25))._2.toBigInt\n val coll9 = INPUTS.filter({(box9: Box) =>\n val coll11 = box9.tokens\n if (coll11.size > placeholder[Int](26)) { (coll11(placeholder[Int](27))._1 == placeholder[Coll[Byte]](28)) && (box9.R4[Coll[Long]].get(placeholder[Int](29)) == coll3(placeholder[Int](30))) } else { placeholder[Boolean](31) }\n })\n val l10 = coll3(placeholder[Int](32))\n val bi11 = coll9.fold(placeholder[BigInt](33), {(tuple11: (BigInt, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](34))._2.toBigInt * l4.toBigInt / l10.toBigInt })\n val coll12 = box5.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box5.propositionBytes == SELF.propositionBytes, coll6(placeholder[Int](35))._1 == coll7(placeholder[Int](36))._1, if (bi8 <= bi11) { coll6.size == placeholder[Int](37) } else {(\n val tuple13 = coll6(placeholder[Int](38))\n (tuple13._1 == coll2) && (tuple13._2.toBigInt >= bi8 - bi11)\n )}, coll12(placeholder[Int](39)) == l10, coll12(placeholder[Int](40)) == coll3(placeholder[Int](41)), coll12(placeholder[Int](42)) == coll3(placeholder[Int](43)) - coll9.size.toLong, coll12(placeholder[Int](44)) == l4)))\n )} else { sigmaProp(placeholder[Boolean](45)) } }\n}",
"address": "3JzMahp3AHSF9VciA4YTEqRkBsK2BVQLsKSY7ps1ZRJYreFBshpbjxm8meLiCYWdMEvjXsTA6Ahic8c1URxg5iqQBf52oeNBieHDLxtk1PnvsuvgcpaB14mmtj4zQQdre8NY2czg46WHkReGwdA1cu2bsAFFXFjer8h1BBbVg7R2eDzDefxsFYw8cqUiCX8BZ77SPpuCWGA94omPzJAtanviJfZANiAYUyfCTLmsSc5njExrE9WB6KwYsKmvBRyUWsLZvjQcxMLL8gAEZvtG1pHP4uPww4JmW6nNbCm5YLw6xYWsRzb4asWCoha3n6ir7uEm5n26oCnVhv7zSxwVpfd1xcn4g2BJtmhp99KVifNx7kijMMNCitqhed4UXXdkj2fEZtrM12j19jAeJjjUzzfaU51RGLLoRQCtDbsZRe9veBv4UKKeFzrqhnvpG9etdU4JUJYMhxwVjttsuNcfZtT1AVej67LxqaaeWFBcE6tqKiscNxmsQJ49KcS12NZC9VWUfduggoBC9e5P1gLdvs382FhHCzjkND2T6iWF1JgCGMTkuTDxsvUCDUcR6RbqDwzkTgyLsM3KtEMYSPn1TQApvVQXSmJZT8xZtQQLpZLJnqzbtdQRqFw5EfEgb5rRWVvmPKUwuKeTQ9pHCrwbNL4JZ4WCA9xveqF2vg4yLJyuQMhcfxF3xnzXdma3b3w8AgmfZajHD7UR4NdvfEebLsJdscP9B1bfWu2QArMoU1T9wX2rMJh83Y3STHU2GmKya4A6eoDCyETWU43c7pvLED2b4VvrK9t1rvtALzu8zfj1F8RnrvW4aGy9a7UtyVjV3TDhJu5rry5CR2vZuiNXxvKFg5BTaD11RmJajjp8u7CZH2CsrEYAmXtpbGqkDNmgF9Adwu2oPTSfttJqc6fBFzQasW5AJTH43J4DvJddQhveRVBifU6WsFJqZdQC4rXbx16xiW7L72q1HQD5iv1XSs42D5Xwd35LdYzmVV",
"assets": [
{
"tokenId": "58f9fdbd740e0c4d831bdff3ad0bda045f5c77e902c66df0df879bd853eec2c1",
"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": "1104ce92c4b0c703b0030ed0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[61119956135,216,7,271161000]"
}
},
"spentTransactionId": "e6a9d51a679ddd65b320475b5a24b4b06e1d85fd01216272a9489188b079158b",
"mainChain": true
},
{
"boxId": "3b123976e96a092fc3684c723cf144ae7e3ff1eb1d81a8dfce3b6238d9c53641",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1000000,
"index": 3,
"globalIndex": 17295701,
"creationHeight": 761095,
"settlementHeight": 761098,
"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": "296403d4eefb470c4f730f5374fe9838ad1ed644d2416fa942623b9fa2aae138",
"mainChain": true
},
{
"boxId": "4a8ec672bf8a210cde34c8f6ca438b259469a3dd80bb5c64545d3a6b3f446b37",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1647750000,
"index": 4,
"globalIndex": 17295702,
"creationHeight": 761095,
"settlementHeight": 761098,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(88,-7,-3,-67,116,14,12,77,-125,27,-33,-13,-83,11,-38,4,95,92,119,-23,2,-58,109,-16,-33,-121,-101,-40,83,-18,-62,-63)\n1: 3\n2: 0\n3: 100000000\n4: 1\n5: 500000\n6: 2\n7: 1000000\n8: 0\n9: 0\n10: Coll(76,-36,17,59,71,102,42,14,124,-93,-65,12,-63,-37,125,-109,37,-26,40,31,-92,82,85,-123,-54,-39,107,10,-33,91,26,122)\n11: 2\n12: 0\n13: 4\n14: 1\n15: 3000000\n16: 1000000\n17: 1000000\n18: 5\n19: 3000000\n20: 6\n21: 1000000\n22: 1\n23: 0\n24: 0\n25: Coll(-122,-74,61,-78,23,-25,-128,-24,-9,1,90,-23,-51,-125,86,71,-107,-57,-18,48,-56,-60,11,-103,16,94,-31,11,55,120,-44,72)\n26: 0\n27: 1\n28: false\n29: 500000\n30: 150000\n31: 1000000\n32: 100000\n33: 1\n34: 2\n35: 0\n36: 0\n37: Coll(-33,-33,-113,127,81,-7,34,-76,-56,2,104,97,-87,-112,-13,49,80,90,-10,-16,65,105,17,-98,46,-26,110,-95,-56,73,16,-10)",
"ergoTreeScript": "{\n val coll1 = placeholder[Coll[Byte]](0)\n if (OUTPUTS.size == placeholder[Int](1)) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n val l4 = SELF.value\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.propositionBytes == coll3, box2.value > l4, l4 <= placeholder[Long](3), OUTPUTS(placeholder[Int](4)).value == placeholder[Long](\n 5\n ) * INPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 }).size.toLong, OUTPUTS(placeholder[Int](6)).value == placeholder[Long](7)\n )\n )\n )\n )} else {(\n val box2 = INPUTS(placeholder[Int](8))\n val coll3 = box2.tokens(placeholder[Int](9))._1\n if ((coll3 == placeholder[Coll[Byte]](10)) && (INPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == coll1)) {(\n val box4 = OUTPUTS(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](14)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[\n Long\n ](15) - placeholder[Long](16) - placeholder[Long](17), OUTPUTS(placeholder[Int](18)).value == placeholder[Long](19), OUTPUTS(\n placeholder[Int](20)\n ).value == placeholder[Long](21)\n )\n )\n )\n )} else { if (coll3 == coll1) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](22)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](23)) { (coll9(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box7.R4[Coll[Long]].get(placeholder[Int](26)) == box2.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n }).size\n val l8 = i7.toLong\n val l9 = placeholder[Long](29) + placeholder[Long](30) * l8\n val l10 = placeholder[Long](31) + placeholder[Long](32) * l8\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - l9 - l10, OUTPUTS(i4).value == l9, OUTPUTS(i4 + placeholder[Int](33)).value == l10, i4 == i7 + placeholder[Int](34))))\n )} else { sigmaProp(OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) } }\n )}\n}",
"address": "78N9ocQuQ8tcs5PB8ZbzRxChUVAkS8wp8EdtFB2bmD8AC6TQUdwRGDK7E2Upes3Kt5Wax54aBCraweYdWjmru6mfZT3vQPc1wneFXBLDzTpf7RGymdZVXqnWYywZxCuZ1QoWccHW3a75NddD1RDwwdeq7meADd99MgrSiJb7Wzrxs2LvdxuV9ij3UQ1czMnGoCoaNep2knmwmSmFF9qtWrSrDNkyXiLCermXcxyVxbKiQFDxu3t1DquQGzPTMFVR6XN6f1RrbefCyPQXnCGTDRBHjAnjAHf8kFnxzhNtD7EnUtvCQ66dLMAZw4dVMwcg7r8bFjconzQThwR1yhHVDFVSVKktSKuKne6ZYR1ta3En9uaXiGorUZN8pYFrB7Aivkbtfb5bGiiFM6oRFd91o43HnoakEfRvZDxhb7TqGQz5kufbLgLMT14u3xPbkGWxCLBaikrzwWToLzmeXkghvNC51RLfEydfN5z5fyTuVUXy5sZ11VS8xnr2suWJW4p5r3RSKJLZqDnBS2rJbeTDEShzR1m3jqsPiKjtWWQH6UBWZr1dcWNyVWu1KiF9PnCvRBYKFtDBxMGV5rFKd5evSmBkGcDrVFZdEAsK4jGv9F4r246pJH9J93tUaSsbpTceF875gtZ4tstygQFzdch38xPd9BJFGZiG6qhRKb7adKy3xQaRofHaZSf5hoUAUCXovvsBjorAaGZ3YRtkrVPCncWK2KntdJb76i1SaavxLwRkqTAoknsBj18GKxK4jxE2pkeeJVgq37d4rjatzSMrzWJVoouxQYzFJDAZkrL6QVSdd8HMuBq69KDfndmhnTZ7TFYQ8rmHUsAXbgnw2UPTU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e6a9d51a679ddd65b320475b5a24b4b06e1d85fd01216272a9489188b079158b",
"mainChain": true
},
{
"boxId": "038b9d635544a474fe9874e0cc2daabaf6efb17e7a90d0c684977af54931d24a",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 3000000,
"index": 5,
"globalIndex": 17295703,
"creationHeight": 761095,
"settlementHeight": 761098,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1ce0238710319537d618dbfe9f0b389cbf92df5614135b173e792bf199fd1844",
"mainChain": true
},
{
"boxId": "27e52cb14e0eb26a3d3bf3cb1c4ae80366ff6a224724b64adb9ed4be6e30f8a9",
"transactionId": "4ccaeaaa1b905f221e04e44e4be6c8bf51aad8eefb6855d954242f200420a24d",
"blockId": "92472ae9eb471c4bdf3114fdb966fc863af01e642e2b35957ec2553360115bcd",
"value": 1000000,
"index": 6,
"globalIndex": 17295704,
"creationHeight": 761095,
"settlementHeight": 761098,
"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": "b875e6a364ad408ed162cc8fb596fb6128db3b2e6dca04c1c5cf0fa27edbd089",
"mainChain": true
}
],
"size": 3943,
"isUnconfirmed": false
}