Transaction
ID: 80f7765dd3...286a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.115 ERG
Tokens:
1,000
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,014,142
Total coins transferred: 0.116 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000627 ERG
Raw Transaction Data
{
"id": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"inclusionHeight": 751601,
"timestamp": 1652777314382,
"index": 5,
"globalIndex": 3200980,
"numConfirmations": 1014142,
"inputs": [
{
"boxId": "f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3b48e276bb24014399a80855e87d5acda07e1292b65e5665d8e6dfa1a136c419",
"outputTransactionId": "05b8046066a32b70a8021b7066e80a10b61f15f710c19a1cea75815b760dbde2",
"outputIndex": 0,
"outputGlobalIndex": 16828999,
"outputCreatedAt": 751569,
"outputSettledAt": 751571,
"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": 1000000000000,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105000000e082d58c9a6080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,1652770382000,3600000]"
}
}
},
{
"boxId": "7e60f44277c7f302273f0056820f937bce50e35934d489b7b906736c781b7bb5",
"value": 115000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b2e24bb2308f37b35da158ff467bc26c015d120a1e2155e08c560ac2c3415cbe",
"outputTransactionId": "72bd2f1bd104eca1e4e5e1be4235d3d778271b504470fa724a675889b6f8c69d",
"outputIndex": 0,
"outputGlobalIndex": 16830003,
"outputCreatedAt": 751597,
"outputSettledAt": 751599,
"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: 2\n5: 0\n6: 3\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: Coll(-27,-77,-23,53,-55,-56,-30,3,-103,-125,-72,-105,-15,-3,-116,98,-11,109,-40,121,20,-127,29,32,-59,74,47,-121,-42,47,51,-122)\n13: 100000000\n14: 4\n15: 2000000\n16: 5\n17: 2000000\n18: 6\n19: 0\n20: 1000000\n21: 2",
"ergoTreeScript": "{if (INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val box1 = OUTPUTS(placeholder[Int](3))\n val box2 = OUTPUTS(placeholder[Int](4))\n val tuple3 = box2.tokens(placeholder[Int](5))\n val box4 = OUTPUTS(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](7)) == SELF.tokens(placeholder[Int](8)), box1.R4[Coll[Long]].get(placeholder[Int](9)) == SELF.R4[Coll[Long]].get(\n placeholder[Int](10)\n ), box2.propositionBytes == SELF.R5[Coll[Byte]].get, tuple3._1 == box1.R5[Coll[Byte]].get, tuple3._2 == placeholder[Long](11), blake2b256(\n box4.propositionBytes\n ) == placeholder[Coll[Byte]](12), box4.value == placeholder[Long](13), OUTPUTS(placeholder[Int](14)).value == placeholder[Long](15), OUTPUTS(\n placeholder[Int](16)\n ).value == placeholder[Long](17), OUTPUTS.size == placeholder[Int](18)\n )\n )\n )\n)} else {(\n val box1 = OUTPUTS(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.R5[Coll[Byte]].get, box1.value == SELF.value - placeholder[Long](\n 20\n ), box1.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](21)\n )\n )\n )\n)}}",
"address": "nzjofTeexjSBPG2Qsk1j2qdSWGjC5SZ2YN74E3ALgjBmJqndTh8TofVgs5K8aZqCTBRLn1xnt7LWUv9WQVKqUvvMzf5BAXYdHJAqRjTHCN4icwQYKhfzDpbvEFfjcaU2ozVKyvTN2bqbThRpZDWKU8BUtqnETGDKHYWqpNhLyzJ7ZkF7EsUpfh98ZiGbMqh5w8vXWJmka34ouTamw3MvVBMW6TffCkA4JpfuLUsmnigscFd8h7DXnANz3pBnyxLigb9xQ34Kdh8BhD3sj5rYd14cVgESepfz9wGqMNRnX1xtFn3MpnJRQXwLqpW3oM3B9zN2iQ5MvvCJmxKfjKGeVkb2LmUC3NZRc3SY2Qn1rtb5a5p43uZFd5bjKAUzLv8kTWBciCzZfacfVVVjimn9Vk8Xn9QfxHaHdm6iPv5EnuhVz3FP4qucUUZSD7mVPhyJgAu",
"assets": [
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 0,
"amount": 10000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11019a8dee929a60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1652776878925]"
},
"R5": {
"serializedValue": "0e240008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8fb3bf27b7fffc4fc9b9a1afae89e4041c7d368607a2ad24cc63e004f92a1d95",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 1000000,
"index": 0,
"globalIndex": 16830057,
"creationHeight": 751599,
"settlementHeight": 751601,
"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": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110580dac4090002e082d58c9a6080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,0,1,1652770382000,3600000]"
}
},
"spentTransactionId": "44493a5fe46d67872a785ae4d51265535c3f18882882cdbd71b8999eb1978d69",
"mainChain": true
},
{
"boxId": "c11655a862b8b03132301c1e9eb48c10a649090f82053762253648fc5c567f59",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 1000000,
"index": 1,
"globalIndex": 16830058,
"creationHeight": 751599,
"settlementHeight": 751601,
"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: 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)\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 1\n14: 3\n15: 0\n16: 1\n17: 0\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: false\n24: true\n25: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n if (coll2 == placeholder[Coll[Byte]](3)) {(\n val box4 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](4)))\n val coll5 = box4.R4[Coll[Long]].get\n val coll6 = SELF.R4[Coll[Long]].get\n val coll7 = box4.tokens\n val tuple8 = coll7(placeholder[Int](5))\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](6))\n val tuple11 = coll7(placeholder[Int](7))\n val tuple12 = coll9(placeholder[Int](8))\n val bi13 = tuple12._2.toBigInt\n val coll14 = box1.R4[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box4.value == SELF.value, box4.propositionBytes == SELF.propositionBytes, coll5(placeholder[Int](9)) == coll6(placeholder[Int](10)) + placeholder[\n Long\n ](11), box4.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, coll5(placeholder[Int](12)) == coll6(\n placeholder[Int](13)\n ), tuple8._1 == tuple10._1, tuple8._2 == tuple10._2, tuple11._1 == tuple12._1, tuple11._2.toBigInt == bi13 + coll14(\n placeholder[Int](14)\n ).toBigInt * bi13 / coll14(placeholder[Int](15)).toBigInt\n )\n )\n )\n )} else {(\n val box4 = INPUTS(placeholder[Int](16))\n if (box4.id == SELF.id) { if (OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) < box1.R4[Coll[Long]].get(placeholder[Int](19))) {(\n val box5 = OUTPUTS(placeholder[Int](20))\n sigmaProp(bool3 && if (box5.propositionBytes == SELF.propositionBytes) {(\n val opt6 = box5.R5[Coll[Byte]]\n if (opt6.isDefined) { (opt6.get == SELF.R5[Coll[Byte]].get) && (OUTPUTS(placeholder[Int](21)).tokens(placeholder[Int](22))._1 == box4.R5[Coll[Byte]].get) } else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) })\n )} else { sigmaProp(bool3) } } else { sigmaProp(placeholder[Boolean](25)) }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "86b63db217e780e8f7015ae9cd83564795c7ee30c8c40b99105ee10b3778d448",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 10000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102009a8dee929a60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1652776878925]"
},
"R5": {
"serializedValue": "0e20f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06",
"sigmaType": "Coll[SByte]",
"renderedValue": "f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06"
}
},
"spentTransactionId": "6785759703885bfb7b99a9f393974c3598defbd14298bb1c36fccfc02012f3a8",
"mainChain": true
},
{
"boxId": "34f036dc503ca3745bc6dd952071bb27591c4baae0e4fb6b5973bebaabcfee84",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 10000000,
"index": 2,
"globalIndex": 16830059,
"creationHeight": 751599,
"settlementHeight": 751601,
"ergoTree": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6443d3,8a1070,...)))}",
"address": "9fHDeZNv7i8qSu6DBYopqfTXAGtJCetQAW3zrKxzve8fsSE2wW7",
"assets": [
{
"tokenId": "f312d1323e8fb4e6f45ce5894a9d5920d175dad65694de27fb9327e944206b06",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e155061696465696154657374205374616b65204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "5061696465696154657374205374616b65204b6579"
},
"R5": {
"serializedValue": "0e4b7b226f726967696e616c416d6f756e745374616b6564223a20313030302e302c20227374616b6554696d65223a2022323032322d30352d31372030383a34313a31382e393235303030227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a20313030302e302c20227374616b6554696d65223a2022323032322d30352d31372030383a34313a31382e393235303030227d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "920035582399019776c1f2b024b1cf182f3e0fb903eb67995f3ac5125fbe0bf3",
"mainChain": true
},
{
"boxId": "714d47490dabb821bff1ac16894d1605ed1bbac9c2a55a4d9029c058b0c3d024",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 100000000,
"index": 3,
"globalIndex": 16830060,
"creationHeight": 751599,
"settlementHeight": 751601,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 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)\n4: 2\n5: 0\n6: 4\n7: 1\n8: 3000000\n9: 1000000\n10: 1000000\n11: 5\n12: 3000000\n13: 6\n14: 1000000\n15: 1\n16: 0\n17: 0\n18: 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)\n19: 0\n20: 1\n21: false\n22: 500000\n23: 150000\n24: 1000000\n25: 100000\n26: 1\n27: 2\n28: 3\n29: 0\n30: 100000000\n31: 1\n32: 500000\n33: 2\n34: 1000000\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 box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = placeholder[Coll[Byte]](2)\n if ((coll2 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](7)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 8\n ) - placeholder[Long](9) - placeholder[Long](10), OUTPUTS(placeholder[Int](11)).value == placeholder[Long](12), OUTPUTS(\n placeholder[Int](13)\n ).value == placeholder[Long](14)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](15)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](16)) { (coll9(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18)) && (box7.R4[Coll[Long]].get(placeholder[Int](19)) == box1.R4[Coll[Long]].get(placeholder[Int](20))) } else { placeholder[Boolean](21) }\n }).size\n val l8 = i7.toLong\n val l9 = placeholder[Long](22) + placeholder[Long](23) * l8\n val l10 = placeholder[Long](24) + placeholder[Long](25) * 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](26)).value == l10, i4 == i7 + placeholder[Int](27))))\n )} else { if (OUTPUTS.size == placeholder[Int](28)) {(\n val box4 = OUTPUTS(placeholder[Int](29))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](30), OUTPUTS(placeholder[Int](31)).value == placeholder[Long](32) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](33)).value == placeholder[Long](34))))\n )} else { sigmaProp(OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "44493a5fe46d67872a785ae4d51265535c3f18882882cdbd71b8999eb1978d69",
"mainChain": true
},
{
"boxId": "74dde778541f87b4b280db41c7a8799468f8ae4dc54d7dde564830948248386e",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 2000000,
"index": 4,
"globalIndex": 16830061,
"creationHeight": 751599,
"settlementHeight": 751601,
"ergoTree": "0008cd03c4bd1fce22aecf12897869cc0381968ee0910f6c870667095d6c36b3847fe140",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c4bd1f,23d30b,...)))}",
"address": "9hxT7sAZEmLWGNp3gN8RRw4qS1NxDMsCtuJkrQ5oEq5w1g7s97U",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c82e15ed9a8f0ba3d39a33ccf03fef932a37ff37945726def5632bd066adfd60",
"mainChain": true
},
{
"boxId": "b5a750fc27b25c9255849690f32a53d461be7ec2364233075d1c9931035ddeb3",
"transactionId": "80f7765dd3a8be46c5e73bcb9b92cb54d1119abe68b66ddbdda0b3d20b22286a",
"blockId": "3afb651dd0feb863a7cae00c9d138ac0dcfd600c330cfba36673a02bcf5ce80d",
"value": 2000000,
"index": 5,
"globalIndex": 16830062,
"creationHeight": 751599,
"settlementHeight": 751601,
"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": "27cbca2cf725837382343aae9661aaa49306f752adb9d61fb56ecf27b636b0b5",
"mainChain": true
}
],
"size": 3192,
"isUnconfirmed": false
}