Transaction
ID: 105ed122e3...c182
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:
10,000
Outputs (6)
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,004,317
Total coins transferred: 0.116 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000645 ERG
Raw Transaction Data
{
"id": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"inclusionHeight": 761765,
"timestamp": 1654002698532,
"index": 5,
"globalIndex": 3273536,
"numConfirmations": 1004317,
"inputs": [
{
"boxId": "a00031ae4f124ae498feb221ec3f2f543a050072a916673747d79ed4428b8b70",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "74b76d096574a8fca082dfa432974964f21fe1be0e9779218036d37f2f3f2dbf",
"outputTransactionId": "f567aa320424fbf2aceea00ebd7ea916564a1466801eeb2d2edef855d865c4b6",
"outputIndex": 0,
"outputGlobalIndex": 17328856,
"outputCreatedAt": 761733,
"outputSettledAt": 761735,
"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(-100,11,46,101,108,11,66,-126,43,118,62,-74,-124,66,29,54,42,6,105,84,-73,117,-46,-28,28,-72,-105,-63,-35,46,-13,-33)\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: 2\n21: 1\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 0\n43: Coll(-96,-53,97,29,94,98,-88,125,-8,-63,-31,-102,107,-100,-120,-101,127,78,-20,-48,-95,85,-41,113,113,62,75,1,78,-12,45,-102)\n44: 3\n45: 2\n46: 0\n47: Coll(-13,53,-124,118,94,39,5,49,-62,12,32,-110,35,-103,-21,97,66,-33,-77,30,-117,-101,-13,-102,-79,20,127,9,1,-68,66,37)\n48: 1\n49: 1\n50: 2\n51: 0\n52: 1\n53: 3\n54: 1\n55: 0\n56: 1\n57: 0\n58: 2\n59: 0\n60: 1\n61: 0\n62: 1\n63: 0\n64: 0\n65: 2\n66: 0\n67: 1\n68: 1\n69: 1000\n70: 0\n71: 1\n72: 1\n73: true\n74: 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 if (bool8) {(\n val box32 = OUTPUTS(placeholder[Int](20))\n if (l12 < l13) {(\n val tuple33 = coll2(placeholder[Int](21))\n val l34 = tuple33._2\n val coll35 = box1.R4[Coll[Long]].get\n val coll36 = box1.R5[Coll[Byte]].get\n val tuple37 = box32.tokens(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, l17 == l15 + l34, l18 == l19, l21 == l20 + placeholder[Long](23), l22 == l23, l12 == l13 - placeholder[Long](24), blake2b256(\n box1.propositionBytes\n ) == coll24, coll35(placeholder[Int](25)) == l19, coll35(placeholder[Int](26)) >= l25 - placeholder[Long](\n 27\n ), coll36 == SELF.id, bool8, l26 == placeholder[Long](28), tuple33._1 == coll27, l34 >= placeholder[Long](29), box32.propositionBytes == INPUTS(\n placeholder[Int](30)\n ).R5[Coll[Byte]].get, tuple37._1 == coll36, tuple37._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val tuple33 = coll2(placeholder[Int](32))\n val l34 = tuple33._2\n val box35 = INPUTS(placeholder[Int](33))\n val l36 = box35.tokens(placeholder[Int](34))._2\n val coll37 = box1.R4[Coll[Long]].get\n val coll38 = box1.R5[Coll[Byte]].get\n val tuple39 = box32.tokens(placeholder[Int](35))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, l17 == l15 + l34 - l36, l18 == l19, l21 == l20, l22 == l23, l12 == l13, blake2b256(box1.propositionBytes) == coll24, blake2b256(\n box35.propositionBytes\n ) == coll24, coll37(placeholder[Int](36)) == l19, coll37 == box35.R4[Coll[Long]].get, coll38 == box35.R5[Coll[Byte]].get, bool8, l26 == placeholder[\n Long\n ](37), tuple33._1 == coll27, l34 == l36 + INPUTS(placeholder[Int](38)).tokens(\n placeholder[Int](39)\n )._2, tuple39._1 == coll38, tuple39._2 == placeholder[Long](40)\n )\n )\n )\n )}\n )} else {(\n val box32 = INPUTS(placeholder[Int](41))\n val coll33 = box32.tokens\n val tuple34 = coll33(placeholder[Int](42))\n val coll35 = tuple34._1\n if ((coll35 == placeholder[Coll[Byte]](43)) && (INPUTS.size >= placeholder[Int](44))) {(\n val box36 = INPUTS(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, box36.tokens(placeholder[Int](46))._1 == placeholder[Coll[Byte]](47), coll37(placeholder[Int](48)) == l19 - placeholder[Long](49), coll37(\n placeholder[Int](50)\n ) == placeholder[Long](51), l18 == l19 + placeholder[Long](52), l21 == l20, l22 == l23 + l30, l22 < l25, l12 == l13\n )\n )\n )\n )} else { if (((l15 > l17) && (INPUTS.size >= placeholder[Int](53))) && (coll33.size > placeholder[Int](54))) {(\n val coll36 = box32.R5[Coll[Byte]].get\n val coll37 = box32.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](55))\n val l39 = l15 - l17\n val tuple40 = coll33(placeholder[Int](56))\n val l41 = tuple40._2 - l39\n val bool42 = l41 == placeholder[Long](57)\n val coll43 = tuple40._1\n sigmaProp(allOf(Coll[Boolean](bool31, INPUTS(placeholder[Int](58)).tokens(placeholder[Int](59))._1 == coll36, l38 == l19, l17 == l15 - l39, l18 == l19, l21 == l20 - if (bool42) { placeholder[Long](60) } else { placeholder[Long](61) }, l22 == l23, l12 == l13 + if (bool42) { placeholder[Long](62) } else { placeholder[Long](63) }, coll4 == coll43, l26 == l39, if (l41 > placeholder[Long](64)) {(\n val box44 = OUTPUTS(placeholder[Int](65))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](66))\n val tuple47 = coll45(placeholder[Int](67))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(Coll[Boolean](coll2(placeholder[Int](68))._1 == coll36, box44.value == box32.value, tuple46._1 == coll35, tuple46._2 == tuple34._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[Long](69), coll48(placeholder[Int](70)) == l38, coll48(placeholder[Int](71)) == coll37(placeholder[Int](72))))\n )} else { placeholder[Boolean](73) })))\n )} else { sigmaProp(placeholder[Boolean](74)) } }\n )}\n}",
"address": "4Qtp6PEPsqcwtNvAVjS5jGsS23kq3L7pW3VVbEp4b9ZBD8R2Qxf3M5MbdUxmn8ZfV4DZFGzGx7rv4XJqwSzCzQiTQQeZ6HoGvMJ8rvNJMLD2XShKPNtdXTg1ss5Jo5NKx22J6qAMCuPMdw9yU5ivaLNemAEV7FsQndc2sBsh9fQZFELt2Ui1MwW6vMfWrrN1QvU3XZTLZEeGmNQkWmKLm48ujd8mECfZ8Aeca3UMBUEfryFoRNdyXvx4YLhqoMgDpKp5SKU89CvM7n8Lcz1QCxjPFJEHNLAeiZS8m5KNDBGnWxEHWfrn5srp4kqKxHhV3Nw4rjn33aZNQTqbzMuso4rBK9gkQSRKA2LtLMwjp4ViU292gt6LvHaiUD1BqzVpQEdppZYwdABRrYbWXHTKYZZZBHj4g1Dy6QHWaVZAAB2xAoVrDgE1cFCvDoEw5oV3rXmm3CtvySSQKVFWzdyNg3v4KLjjvG8Rr161R8YsrDMJ6mo8RXrMzxYc8g9QtiKgXwbqms2DUeD8nrSeeC8NhwfM7ZY7BF1FyKe6iSgv4RpiqdEB4wzvT3eTFEx4Sc6Af4YunjEgYYgWed4MeHUAXyBy221sj8dPhPUzLoFzQYsCGfj8P2JKoEHphNWLPzX36Ry6x3CWuvWXJ9Y75vR8Z7XRon42DxkvrkJcNCZ1G6EqnvCh6adRDUTQin4V1eFmVFTfierdXAd9GYvVAiUgV72NMeAQFuiPq4wtdBSuyFUT4mNEjdEZEm3VndAbSsUAxT8zL4RK32SJgF8Wb44n4Brk5DffAobby8kUGMgaQyMo5iQYjbkf444d2VxsMFRmbnmbBmN4yiLASGQ9Ya5uYYrfQ4Wf9YHABC2NbJpnEyeMf2tcyfcRYrdseewQXsnuagR9CQ1PtK6awHYbreZpoZ9Uecy4wq22X65uXXFEikKA5G1uP9qAYyChWPrT7Ti5UFaGtVZZEroQNiK9o1pbMBexv2yU8AsEEysCq7XmzbdQh2wCyLyfSZH9AtdUYWbW1hoz9gruKZreowkxGMASbz7sN2mDFk4zBrn3pGr2DgZa6W5gUU1EZPn3ewvPCCZn1K9QmuKknEbuwN2Lm26w5gywkhFZFv8HKjkgAuE6odDN4u2NdVk2Vjc1hPeo1T9R5vu4gFx3kjnqLqzaYsrrHsdB9MRhpsZAvDfLMy14Zjt7FupkLBYxqiwPaAmoQvoo7ztLPKMFE1ecdDWpzoLgpJdynRcLx197ymfGPMSFLgthtC1NyrrbwUbA3Sf15JG7DKAXqud16G2vjhtA5Whht3URxYcmMNuwQNmcQuJTJGY7dzUWdyubahS8D2L3S6jCEQyRJwAxVmYSPPNMTtZr63xoB6GNRtKDB73ggytj8PsTP3fxnvtj1Xdwt6HQBWQuaFs5WWFn2goEcuEEGRrf5xLLtHNfLB6fgk14u3rzyCpnMLU17GC4xsMYfUxsqnmts3h64trL53Adxj1io6MP5vB7MFxBj2fhSCAMuzdg6KSCnPKRM44J9gX5EwwnpVRRq2NTJd6aALWnkoty49DYAPv3q3j5V7iD7pLA4oiXQNDscA7YBV9RcE1XnrptSmU9fyrgHY9qjpugHrrWHbyXsT1RK3KkEdhs8hRWWSH2giL3ZmRrFw5WkAUfrKWcBxRGUvzTnMP7hwVwRquNvG8DVK2kQN7fzdrSZZB2uxCMVBz4AwCuRrPjdWdsSox6hEMkn9gZfJt3p3EwQQHXsMx3uLUHxDhMgCgcS9tdWfhJWqQJKnFdupBS4krodPhPZGnsJjrxDKLszoaY3Bp1R85TQaGYNckhtwr7JanfSDctVAW3evkqaPsw8e4cv2CGyrTwEQiu7",
"assets": [
{
"tokenId": "cefab5da4cd5acf413ee3bd9108493db180e2b8e5acd67631563a5ee43bcc5a0",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a1480cbb06a40542b8eec6cb69e7c021431c6b0a1d86f38e9823c29ca8801a24",
"index": 1,
"amount": 1000000000000,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105000000808eab9da36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,1653995824000,3600000]"
}
}
},
{
"boxId": "2e96e0795804de8e0d8fbb4b27f111fde8757aeb8d77c208553678b7cc96f6b2",
"value": 115000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "552dcaa2fa2a59b0758fcb86f11f17df770968a1799ea648fab32481951771be",
"outputTransactionId": "56acb8b26ef33430d5fbb686c0e32d8f4a1139c84731afc6d9168b8086452dce",
"outputIndex": 0,
"outputGlobalIndex": 17329924,
"outputCreatedAt": 761761,
"outputSettledAt": 761763,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-50,-6,-75,-38,76,-43,-84,-12,19,-18,59,-39,16,-124,-109,-37,24,14,43,-114,90,-51,103,99,21,99,-91,-18,67,-68,-59,-96)\n3: 1\n4: 2\n5: 0\n6: 3\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: Coll(83,82,-64,57,-13,20,-108,56,21,-79,-22,-36,66,8,-18,63,102,68,18,89,67,5,62,-34,-6,121,-96,104,-124,-47,35,3)\n13: 100000000\n14: 4\n15: 2000000\n16: 5\n17: 2000000\n18: 6\n19: false\n20: 0\n21: 1000000\n22: 2\n23: false",
"ergoTreeScript": "{\n val bool1 = INPUTS(placeholder[Int](0)).tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)\n sigmaProp(if (bool1) {(\n val box2 = OUTPUTS(placeholder[Int](3))\n val box3 = OUTPUTS(placeholder[Int](4))\n val tuple4 = box3.tokens(placeholder[Int](5))\n val box5 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box2.tokens(placeholder[Int](7)) == SELF.tokens(placeholder[Int](8)), box2.R4[Coll[Long]].get(placeholder[Int](9)) == SELF.R4[Coll[Long]].get(placeholder[Int](10)), box3.propositionBytes == SELF.R5[Coll[Byte]].get, tuple4._1 == box2.R5[Coll[Byte]].get, tuple4._2 == placeholder[Long](11), blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](12), box5.value == placeholder[Long](13), OUTPUTS(placeholder[Int](14)).value == placeholder[Long](15), OUTPUTS(placeholder[Int](16)).value == placeholder[Long](17), OUTPUTS.size == placeholder[Int](18)))\n )} else { placeholder[Boolean](19) } || if (!bool1) {(\n val box2 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](box2.propositionBytes == SELF.R5[Coll[Byte]].get, box2.value == SELF.value - placeholder[Long](21), box2.tokens == SELF.tokens, OUTPUTS.size == placeholder[Int](22)))\n )} else { placeholder[Boolean](23) })\n}",
"address": "9RPe1XUt1eWcw9BeMxcRPksDhrhsBSdwHcmnvHPqhUJU2fhqgCtnxvzBpfUcUXYRYDwQNhn9r5Hsvi2p2hZjg9CA9cMAVomqC9h11r65mWvwPeFcCpAXEdM91f2DBUHFhQ5eSZUWr92hsQBhxJtxnaqT1PbNYYoeVBN8A6MsYap9docgFk1m1M1GuXcKu8EDZFAJba5j17JF3jeLCP5Up2qq4EPa6gBmjNF7mVbwjExcpgtYTWY9WjSbYrE32BVGdHceuHLhFNJFD6nQGdBQ1sZ7QhFTnFy9nuzMaT8V2HEprCpExrYfv7vpv2EwFPnmh6JiQ9zCMWLED1uiobRDfXoTEeDDzNBduiPNcPJuV2Qva5vazt1qXcWiEZXknhX6Sa342gnrojERqgGWqVTLnoj36ji7CDo6kJ9KqUHjSDgaHsgEq4gsA3kFL282LLnvXXfA29YSqYSjmgXgmtzVpLVd7GhJ",
"assets": [
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 0,
"amount": 100000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101e8acdaa3a360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1654002502452]"
},
"R5": {
"serializedValue": "0e240008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d913a3d8ababdb29f711660b56366c45cec71f3fc9115f5cd05aafc6b44a874c",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 1000000,
"index": 0,
"globalIndex": 17329990,
"creationHeight": 761763,
"settlementHeight": 761765,
"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(-100,11,46,101,108,11,66,-126,43,118,62,-74,-124,66,29,54,42,6,105,84,-73,117,-46,-28,28,-72,-105,-63,-35,46,-13,-33)\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: 2\n21: 1\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 2\n39: 1\n40: 1\n41: 1\n42: 0\n43: Coll(-96,-53,97,29,94,98,-88,125,-8,-63,-31,-102,107,-100,-120,-101,127,78,-20,-48,-95,85,-41,113,113,62,75,1,78,-12,45,-102)\n44: 3\n45: 2\n46: 0\n47: Coll(-13,53,-124,118,94,39,5,49,-62,12,32,-110,35,-103,-21,97,66,-33,-77,30,-117,-101,-13,-102,-79,20,127,9,1,-68,66,37)\n48: 1\n49: 1\n50: 2\n51: 0\n52: 1\n53: 3\n54: 1\n55: 0\n56: 1\n57: 0\n58: 2\n59: 0\n60: 1\n61: 0\n62: 1\n63: 0\n64: 0\n65: 2\n66: 0\n67: 1\n68: 1\n69: 1000\n70: 0\n71: 1\n72: 1\n73: true\n74: 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 if (bool8) {(\n val box32 = OUTPUTS(placeholder[Int](20))\n if (l12 < l13) {(\n val tuple33 = coll2(placeholder[Int](21))\n val l34 = tuple33._2\n val coll35 = box1.R4[Coll[Long]].get\n val coll36 = box1.R5[Coll[Byte]].get\n val tuple37 = box32.tokens(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, l17 == l15 + l34, l18 == l19, l21 == l20 + placeholder[Long](23), l22 == l23, l12 == l13 - placeholder[Long](24), blake2b256(\n box1.propositionBytes\n ) == coll24, coll35(placeholder[Int](25)) == l19, coll35(placeholder[Int](26)) >= l25 - placeholder[Long](\n 27\n ), coll36 == SELF.id, bool8, l26 == placeholder[Long](28), tuple33._1 == coll27, l34 >= placeholder[Long](29), box32.propositionBytes == INPUTS(\n placeholder[Int](30)\n ).R5[Coll[Byte]].get, tuple37._1 == coll36, tuple37._2 == placeholder[Long](31)\n )\n )\n )\n )} else {(\n val tuple33 = coll2(placeholder[Int](32))\n val l34 = tuple33._2\n val box35 = INPUTS(placeholder[Int](33))\n val l36 = box35.tokens(placeholder[Int](34))._2\n val coll37 = box1.R4[Coll[Long]].get\n val coll38 = box1.R5[Coll[Byte]].get\n val tuple39 = box32.tokens(placeholder[Int](35))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, l17 == l15 + l34 - l36, l18 == l19, l21 == l20, l22 == l23, l12 == l13, blake2b256(box1.propositionBytes) == coll24, blake2b256(\n box35.propositionBytes\n ) == coll24, coll37(placeholder[Int](36)) == l19, coll37 == box35.R4[Coll[Long]].get, coll38 == box35.R5[Coll[Byte]].get, bool8, l26 == placeholder[\n Long\n ](37), tuple33._1 == coll27, l34 == l36 + INPUTS(placeholder[Int](38)).tokens(\n placeholder[Int](39)\n )._2, tuple39._1 == coll38, tuple39._2 == placeholder[Long](40)\n )\n )\n )\n )}\n )} else {(\n val box32 = INPUTS(placeholder[Int](41))\n val coll33 = box32.tokens\n val tuple34 = coll33(placeholder[Int](42))\n val coll35 = tuple34._1\n if ((coll35 == placeholder[Coll[Byte]](43)) && (INPUTS.size >= placeholder[Int](44))) {(\n val box36 = INPUTS(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool31, box36.tokens(placeholder[Int](46))._1 == placeholder[Coll[Byte]](47), coll37(placeholder[Int](48)) == l19 - placeholder[Long](49), coll37(\n placeholder[Int](50)\n ) == placeholder[Long](51), l18 == l19 + placeholder[Long](52), l21 == l20, l22 == l23 + l30, l22 < l25, l12 == l13\n )\n )\n )\n )} else { if (((l15 > l17) && (INPUTS.size >= placeholder[Int](53))) && (coll33.size > placeholder[Int](54))) {(\n val coll36 = box32.R5[Coll[Byte]].get\n val coll37 = box32.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](55))\n val l39 = l15 - l17\n val tuple40 = coll33(placeholder[Int](56))\n val l41 = tuple40._2 - l39\n val bool42 = l41 == placeholder[Long](57)\n val coll43 = tuple40._1\n sigmaProp(allOf(Coll[Boolean](bool31, INPUTS(placeholder[Int](58)).tokens(placeholder[Int](59))._1 == coll36, l38 == l19, l17 == l15 - l39, l18 == l19, l21 == l20 - if (bool42) { placeholder[Long](60) } else { placeholder[Long](61) }, l22 == l23, l12 == l13 + if (bool42) { placeholder[Long](62) } else { placeholder[Long](63) }, coll4 == coll43, l26 == l39, if (l41 > placeholder[Long](64)) {(\n val box44 = OUTPUTS(placeholder[Int](65))\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](66))\n val tuple47 = coll45(placeholder[Int](67))\n val coll48 = box44.R4[Coll[Long]].get\n allOf(Coll[Boolean](coll2(placeholder[Int](68))._1 == coll36, box44.value == box32.value, tuple46._1 == coll35, tuple46._2 == tuple34._2, tuple47._1 == coll43, tuple47._2 == l41, l41 >= placeholder[Long](69), coll48(placeholder[Int](70)) == l38, coll48(placeholder[Int](71)) == coll37(placeholder[Int](72))))\n )} else { placeholder[Boolean](73) })))\n )} else { sigmaProp(placeholder[Boolean](74)) } }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "cefab5da4cd5acf413ee3bd9108493db180e2b8e5acd67631563a5ee43bcc5a0",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a1480cbb06a40542b8eec6cb69e7c021431c6b0a1d86f38e9823c29ca8801a24",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11058084af5f0002808eab9da36080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,0,1,1653995824000,3600000]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e01b11d0f4ab5db9a2a4b128cc74d3deb3880f992e8769d98bd83a81a602ea3a",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 1000000,
"index": 1,
"globalIndex": 17329991,
"creationHeight": 761763,
"settlementHeight": 761765,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-13,53,-124,118,94,39,5,49,-62,12,32,-110,35,-103,-21,97,66,-33,-77,30,-117,-101,-13,-102,-79,20,127,9,1,-68,66,37)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-50,-6,-75,-38,76,-43,-84,-12,19,-18,59,-39,16,-124,-109,-37,24,14,43,-114,90,-51,103,99,21,99,-91,-18,67,-68,-59,-96)\n9: 1\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 3\n20: 0\n21: false\n22: 2\n23: 1\n24: 1\n25: false\n26: true\n27: false\n28: 1\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val bool3 = coll2 == placeholder[Coll[Byte]](2)\n val coll4 = SELF.R4[Coll[Long]].get\n val coll5 = SELF.R5[Coll[Byte]].get\n val bool6 = if (!bool3) {\n (INPUTS(placeholder[Int](3)).id == SELF.id) && (\n OUTPUTS(placeholder[Int](4)).R4[Coll[Long]].get(placeholder[Int](5)) < box1.R4[Coll[Long]].get(placeholder[Int](6))\n )\n } else { placeholder[Boolean](7) }\n val bool7 = coll2 == placeholder[Coll[Byte]](8)\n sigmaProp((if (bool3) {(\n val box8 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](9)))\n val coll9 = box8.R4[Coll[Long]].get\n val coll10 = box8.tokens\n val tuple11 = coll10(placeholder[Int](10))\n val coll12 = SELF.tokens\n val tuple13 = coll12(placeholder[Int](11))\n val tuple14 = coll10(placeholder[Int](12))\n val tuple15 = coll12(placeholder[Int](13))\n val bi16 = tuple15._2.toBigInt\n val coll17 = box1.R4[Coll[Long]].get\n allOf(Coll[Boolean](box8.value == SELF.value, box8.propositionBytes == SELF.propositionBytes, coll9(placeholder[Int](14)) == coll4(placeholder[Int](15)) + placeholder[Long](16), box8.R5[Coll[Byte]].get == coll5, coll9(placeholder[Int](17)) == coll4(placeholder[Int](18)), tuple11._1 == tuple13._1, tuple11._2 == tuple13._2, tuple14._1 == tuple15._1, tuple14._2.toBigInt == bi16 + coll17(placeholder[Int](19)).toBigInt * bi16 / coll17(placeholder[Int](20)).toBigInt))\n )} else { placeholder[Boolean](21) } || if (bool6) {(\n val box8 = OUTPUTS(placeholder[Int](22))\n bool7 && if (box8.propositionBytes == SELF.propositionBytes) {(\n val opt9 = box8.R5[Coll[Byte]]\n if (opt9.isDefined) { (opt9.get == coll5) && (OUTPUTS(placeholder[Int](23)).tokens(placeholder[Int](24))._1 == coll5) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }) || if (if (!(bool6 || bool3)) { INPUTS(placeholder[Int](28)).id == SELF.id } else { placeholder[Boolean](29) }) { bool7 } else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "a1480cbb06a40542b8eec6cb69e7c021431c6b0a1d86f38e9823c29ca8801a24",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 100000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110200e8acdaa3a360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1654002502452]"
},
"R5": {
"serializedValue": "0e20a00031ae4f124ae498feb221ec3f2f543a050072a916673747d79ed4428b8b70",
"sigmaType": "Coll[SByte]",
"renderedValue": "a00031ae4f124ae498feb221ec3f2f543a050072a916673747d79ed4428b8b70"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e4d1ce768df32b199bddcc8576f25262babe707ec60468ab53e37e756ca1115e",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 10000000,
"index": 2,
"globalIndex": 17329992,
"creationHeight": 761763,
"settlementHeight": 761765,
"ergoTree": "0008cd026443d32bf23bce582b279abd85e128bc26ecb7d8ea1a9ceb87481db90fd80997",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6443d3,8a1070,...)))}",
"address": "9fHDeZNv7i8qSu6DBYopqfTXAGtJCetQAW3zrKxzve8fsSE2wW7",
"assets": [
{
"tokenId": "a00031ae4f124ae498feb221ec3f2f543a050072a916673747d79ed4428b8b70",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e155061696465696154657374205374616b65204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "5061696465696154657374205374616b65204b6579"
},
"R5": {
"serializedValue": "0e4c7b226f726967696e616c416d6f756e745374616b6564223a2031303030302e302c20227374616b6554696d65223a2022323032322d30352d33312031333a30383a32322e343532303030227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226f726967696e616c416d6f756e745374616b6564223a2031303030302e302c20227374616b6554696d65223a2022323032322d30352d33312031333a30383a32322e343532303030227d"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "2d571c562144b4e7653d501bbb9827b2f6742da719bb6e9ec128e3ba11046502",
"mainChain": true
},
{
"boxId": "b4f6bfd49d5dd33badbc4dfc56ee1d8dc0043dd0539820587a00353f29e2562b",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 100000000,
"index": 3,
"globalIndex": 17329993,
"creationHeight": 761763,
"settlementHeight": 761765,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-13,53,-124,118,94,39,5,49,-62,12,32,-110,35,-103,-21,97,66,-33,-77,30,-117,-101,-13,-102,-79,20,127,9,1,-68,66,37)\n1: 3\n2: 0\n3: 100000000\n4: 1\n5: 500000\n6: 2\n7: 1000000\n8: 0\n9: 0\n10: Coll(-50,-6,-75,-38,76,-43,-84,-12,19,-18,59,-39,16,-124,-109,-37,24,14,43,-114,90,-51,103,99,21,99,-91,-18,67,-68,-59,-96)\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(-95,72,12,-69,6,-92,5,66,-72,-18,-58,-53,105,-25,-64,33,67,28,107,10,29,-122,-13,-114,-104,35,-62,-100,-88,-128,26,36)\n26: 0\n27: 1\n28: false\n29: 500000\n30: 150000\n31: 1000000\n32: 100000\n33: 1\n34: 2\n35: 0\n36: 0\n37: Coll(6,30,109,-78,-49,46,-34,91,-88,-7,-40,81,63,-126,28,7,51,-29,-66,-76,-8,56,-54,-80,-105,-111,70,-21,-38,105,-3,76)",
"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": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "14864c6caba4b096fcd87c5a5a6e47a4131785ec64dcf3f7bcb853ca215a57ba",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 2000000,
"index": 4,
"globalIndex": 17329994,
"creationHeight": 761763,
"settlementHeight": 761765,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "311502f071abb029fa11175bd2ebedc9bdbd5912489910b26b54a02a8cdce38e",
"mainChain": true
},
{
"boxId": "2e9c859eab74bf9cadf81cdbf1a55b703e53f62712918dcf272a59eef65daaf7",
"transactionId": "105ed122e34f62c1cbc167c17ddedad6647f4f014780a2c483d9287c3661c182",
"blockId": "e0f4307ce731f354eacca26d300ab0c3ba303799760ecc0127a1bbb68eef0149",
"value": 2000000,
"index": 5,
"globalIndex": 17329995,
"creationHeight": 761763,
"settlementHeight": 761765,
"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": "78424c76d6ea1bfe080d8b8ab917373ea810e3c3d70ceb5c05ba0399538764a9",
"mainChain": true
}
],
"size": 3099,
"isUnconfirmed": false
}