Transaction
ID: 959cd90d04...2862
Inputs (13)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Outputs (15)
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:
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:
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:
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:
0.00575 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00215 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Transaction Details
Confirmations: 770,450
Total coins transferred: 0.022 ERG
Fees: 0.0021 ERG
Fees per byte: 0.000000249 ERG
Raw Transaction Data
{
"id": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"inclusionHeight": 994300,
"timestamp": 1682943119595,
"index": 11,
"globalIndex": 5129314,
"numConfirmations": 770450,
"inputs": [
{
"boxId": "bcf2b96de2f87cd2c6a60b4b0d5d98304e2bf92bb89c6ffadb0feb4e5b0727b4",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"outputTransactionId": "0b15a4954bc2f11032cee06792331c11509fa7d026b551de376c0d353b7a9b05",
"outputIndex": 0,
"outputGlobalIndex": 28745539,
"outputCreatedAt": 994298,
"outputSettledAt": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n4: 0\n5: 0\n6: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
"tokenId": "12bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f",
"index": 0,
"amount": 1,
"name": "Paideia Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5239560,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104dee1daaba239960516b895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[983861778543,331,11,271230300]"
}
}
},
{
"boxId": "e4c095bbc8b1e4a536a09e7894238ebddb3ede37a1a75995125d682ba7d70109",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
"outputIndex": 11,
"outputGlobalIndex": 28717683,
"outputCreatedAt": 993597,
"outputSettledAt": 993599,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5795051,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029605fc89c2e3c160",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1658095944318]"
},
"R5": {
"serializedValue": "0e20b6b40377fc6b0e78cfef951fbd22489f60ce510f712ccd571bf042de82811f04",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6b40377fc6b0e78cfef951fbd22489f60ce510f712ccd571bf042de82811f04"
}
}
},
{
"boxId": "90e7f02f3052dccc061504690e8832df73d94422962da280a20d54b132c618a0",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
"outputIndex": 10,
"outputGlobalIndex": 28717682,
"outputCreatedAt": 993597,
"outputSettledAt": 993599,
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1658144585365]"
},
"R5": {
"serializedValue": "0e2093d95f06536753b6bc9d4ae240cec1c62a3886c9f90495336da8ee872a3f6e9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "93d95f06536753b6bc9d4ae240cec1c62a3886c9f90495336da8ee872a3f6e9d"
}
}
},
{
"boxId": "7b703312e39109ac095bc8c2483ce25906b46ad978aa457c5967753e3a0cc953",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717681,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
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"type": "EIP-004"
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1661068442356]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "2d2611f764b4668bb7a731f10f94c4820b9416ca443f941bec97f2f7bd5a4eea"
}
}
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{
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"index": 4,
"spendingProof": null,
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"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717680,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
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"type": "EIP-004"
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],
"additionalRegisters": {
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"serializedValue": "11029605bafad0e1d660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1660912541341]"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "bc6bcec084bfd9da03d3010fe9088c7507092c6f02551820ea83be50172d20b3"
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"outputGlobalIndex": 28717679,
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1424129823,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1654342127417]"
},
"R5": {
"serializedValue": "0e206fc524c29f244f8657c43cf1b4e2ce4352ebee7c5607adbc2e09eb5173a0c5d9",
"sigmaType": "Coll[SByte]",
"renderedValue": "6fc524c29f244f8657c43cf1b4e2ce4352ebee7c5607adbc2e09eb5173a0c5d9"
}
}
},
{
"boxId": "820e3cbf2bcb5404bbd6ebdb87a4483c71b89228b6b672c8606f709bf2627c6a",
"value": 1000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717678,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
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"type": "EIP-004"
},
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1654347235125]"
},
"R5": {
"serializedValue": "0e20408987f017993dd1811c1e95b8f37359bfe2d06f26a9e0225c84c21133288300",
"sigmaType": "Coll[SByte]",
"renderedValue": "408987f017993dd1811c1e95b8f37359bfe2d06f26a9e0225c84c21133288300"
}
}
},
{
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"index": 7,
"spendingProof": null,
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"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717677,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
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"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "1102960592c68cc4db60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1661552660873]"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "084f9cadbc74b0e2edaa134fcde4d28c316141a8d1727dcb3346e6e3bf727feb"
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{
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1013154135,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1667953464150]"
},
"R5": {
"serializedValue": "0e2008b72976479a6dbd9a92d02f9a5290a0e0b35526a05d6e69cf3ec19642d2389d",
"sigmaType": "Coll[SByte]",
"renderedValue": "08b72976479a6dbd9a92d02f9a5290a0e0b35526a05d6e69cf3ec19642d2389d"
}
}
},
{
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"value": 1000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717675,
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"ergoTree": "101f040004000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040204000400040001000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040004000402040204000400050204020402040604000100040404020402010001010100040201000100d807d601b2a4730000d6028cb2db6308720173010001d6039372027302d604e4c6a70411d605e4c6a7050ed60695ef7203ed93c5b2a4730300c5a78fb2e4c6b2a57304000411730500b2e4c6720104117306007307d6079372027308d1ecec957203d80ad608b2a5dc0c1aa402a7730900d609e4c672080411d60adb63087208d60bb2720a730a00d60cdb6308a7d60db2720c730b00d60eb2720a730c00d60fb2720c730d00d6107e8c720f0206d611e4c6720104119683090193c17208c1a793c27208c2a793b27209730e009ab27204730f00731093e4c67208050e720593b27209731100b27204731200938c720b018c720d01938c720b028c720d02938c720e018c720f01937e8c720e02069a72109d9c7eb272117313000672107eb27211731400067315957206d801d608b2a5731600ed72079593c27208c2a7d801d609c67208050e95e67209ed93e472097205938cb2db6308b2a57317007318000172057319731a731b9595efec7206720393c5b2a4731c00c5a7731d7207731e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029605e2e0e3f6a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1654358046769]"
},
"R5": {
"serializedValue": "0e20348dd732ea71897e399036f1875c43ba9c2a7b56153cfe0318685b477a86023b",
"sigmaType": "Coll[SByte]",
"renderedValue": "348dd732ea71897e399036f1875c43ba9c2a7b56153cfe0318685b477a86023b"
}
}
},
{
"boxId": "cb2d3e0179190490616f307afbcfda9ae078660b9b1e763436fb1cc10ab517a9",
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"index": 10,
"spendingProof": null,
"outputBlockId": "435b2e596cc3c14579b2deff2b5d9a7c84ff182b59829d3f2506d26dcb26ae84",
"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717674,
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"name": "Paideia Stake Token",
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"type": "EIP-004"
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],
"additionalRegisters": {
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"serializedValue": "1102960584bbb2d9f961",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1682781392578]"
},
"R5": {
"serializedValue": "0e2082405fa01e48866a23b42ad52dbfed9258f074cae4d77e5702eacee3e724a51b",
"sigmaType": "Coll[SByte]",
"renderedValue": "82405fa01e48866a23b42ad52dbfed9258f074cae4d77e5702eacee3e724a51b"
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{
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"outputTransactionId": "a9f7dc1968eda7a7c66ae87a563b97ac8f9c566e0566eaabffc302b3aec43197",
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"outputGlobalIndex": 28717673,
"outputCreatedAt": 993597,
"outputSettledAt": 993599,
"ergoTree": "101f040004000e2012bbef36eaa5e61b64d519196a1e8ebea360f18aba9b02d2a21b16f26208960f040204000400040001000e20b682ad9e8c56c5a0ba7fe2d3d9b2fbd40af989e8870628f4a03ae1022d36f0910402040004000402040204000400050204020402040604000100040404020402010001010100040201000100d807d601b2a4730000d6028cb2db6308720173010001d6039372027302d604e4c6a70411d605e4c6a7050ed60695ef7203ed93c5b2a4730300c5a78fb2e4c6b2a57304000411730500b2e4c6720104117306007307d6079372027308d1ecec957203d80ad608b2a5dc0c1aa402a7730900d609e4c672080411d60adb63087208d60bb2720a730a00d60cdb6308a7d60db2720c730b00d60eb2720a730c00d60fb2720c730d00d6107e8c720f0206d611e4c6720104119683090193c17208c1a793c27208c2a793b27209730e009ab27204730f00731093e4c67208050e720593b27209731100b27204731200938c720b018c720d01938c720b028c720d02938c720e018c720f01937e8c720e02069a72109d9c7eb272117313000672107eb27211731400067315957206d801d608b2a5731600ed72079593c27208c2a7d801d609c67208050e95e67209ed93e472097205938cb2db6308b2a57317007318000172057319731a731b9595efec7206720393c5b2a4731c00c5a7731d7207731e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 4769662104,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029605bcbcb7f9a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[331,1654360829726]"
},
"R5": {
"serializedValue": "0e2087c9f002bbdf8074e5952e8cc19395a2e432ebec9430f37b6b7ea5b442129c22",
"sigmaType": "Coll[SByte]",
"renderedValue": "87c9f002bbdf8074e5952e8cc19395a2e432ebec9430f37b6b7ea5b442129c22"
}
}
},
{
"boxId": "46b1ba2ce2b69b38053ddf1c4b06223e52da30fafb3ac4230ec38901c7f28223",
"value": 10000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "a8e968bfac63a7bdb8234da4d2049c46e4ba1926ed5cabc8c5cb8384015a6ccf",
"outputTransactionId": "790da088c792d2fba72d81e54d40bd3842bddb5760cc2ef57980dffba48f012c",
"outputIndex": 3,
"outputGlobalIndex": 28741103,
"outputCreatedAt": 994184,
"outputSettledAt": 994186,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "871a83657c804c91919af1b4a6718ea98aa8cbc72d5b5146afdb77d3a0fecb1d",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 0,
"globalIndex": 28745593,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(31,-42,-32,50,-24,71,108,74,-91,76,24,-63,-93,8,-36,-24,57,64,-24,-12,-94,-113,87,100,64,81,62,-41,50,106,-44,-119)\n4: 0\n5: 0\n6: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n7: 2\n8: 3\n9: 0\n10: 1\n11: 1\n12: 0\n13: 1\n14: 0\n15: 3\n16: 0\n17: 3\n18: 100\n19: 0\n20: 0\n21: false\n22: 1\n23: 0\n24: 0\n25: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll8.slice(placeholder[Int](14), placeholder[Int](15)) == box1.R4[Coll[Long]].get.slice(placeholder[Int](16), placeholder[Int](17)), l9 == if (l10 < l12) { l10 - l10 / placeholder[Long](18) } else { l12 }, coll13(placeholder[Int](19))._1 == coll11(placeholder[Int](20))._1, tuple14._1 == coll5, tuple14._2 == l9))\n )} else { placeholder[Boolean](21) } || if (box1.id == coll2) {(\n val coll8 = box6.tokens\n val bi9 = coll7(placeholder[Int](22))._2.toBigInt\n val coll10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](23)) { (coll12(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && (box10.R4[Coll[Long]].get(placeholder[Int](26)) == SELF.R4[Coll[Long]].get(placeholder[Int](27))) } else { placeholder[Boolean](28) }\n })\n val coll11 = SELF.R4[Coll[Long]].get\n val l12 = coll11(placeholder[Int](29))\n val bi13 = coll10.fold(placeholder[BigInt](30), {(tuple13: (BigInt, Box)) => tuple13._1 + tuple13._2.tokens(placeholder[Int](31))._2.toBigInt * l12.toBigInt / coll11(placeholder[Int](32)).toBigInt })\n val coll14 = box6.R4[Coll[Long]].get\n allOf(Coll[Boolean](box6.value == SELF.value, box6.propositionBytes == SELF.propositionBytes, coll8(placeholder[Int](33))._1 == coll7(placeholder[Int](34))._1, if (bi9 <= bi13) { coll8.size == placeholder[Int](35) } else {(\n val tuple15 = coll8(placeholder[Int](36))\n (tuple15._1 == coll5) && (tuple15._2.toBigInt >= bi9 - bi13)\n )}, coll14.slice(placeholder[Int](37), placeholder[Int](38)) == coll11.slice(placeholder[Int](39), placeholder[Int](40)), coll14(placeholder[Int](41)) == coll11(placeholder[Int](42)) - coll10.size.toLong, coll14(placeholder[Int](43)) == l12))\n )} else { placeholder[Boolean](44) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 466,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104dee1daaba239960500b895d58202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[983861778543,331,0,271230300]"
}
},
"spentTransactionId": "db7cedc435d559a90889ce5f7330d67c480d2778384f30f0fd84d4579d7b7211",
"mainChain": true
},
{
"boxId": "9956720b82d702531fbb249455411b9d4adcb339364ee0096f7dfff9ea5e2355",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 1,
"globalIndex": 28745594,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 5796648,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805fc89c2e3c160",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1658095944318]"
},
"R5": {
"serializedValue": "0e20b6b40377fc6b0e78cfef951fbd22489f60ce510f712ccd571bf042de82811f04",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6b40377fc6b0e78cfef951fbd22489f60ce510f712ccd571bf042de82811f04"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
"boxId": "c9a25ba8a07f05e55ad1277b91e430b7f82ecd12d97de400bf55ed7cbc4a91a2",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 2,
"globalIndex": 28745595,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 1,
"amount": 82260856,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805aadaf391c260",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1658144585365]"
},
"R5": {
"serializedValue": "0e2093d95f06536753b6bc9d4ae240cec1c62a3886c9f90495336da8ee872a3f6e9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "93d95f06536753b6bc9d4ae240cec1c62a3886c9f90495336da8ee872a3f6e9d"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
"boxId": "0a94eba6ecd2a8b2576af2cba770feb39d20ad5fcc34afdc86e521fdc9d4a4b5",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 3,
"globalIndex": 28745596,
"creationHeight": 994298,
"settlementHeight": 994300,
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 501559315,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805e8eba7f6d760",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1661068442356]"
},
"R5": {
"serializedValue": "0e202d2611f764b4668bb7a731f10f94c4820b9416ca443f941bec97f2f7bd5a4eea",
"sigmaType": "Coll[SByte]",
"renderedValue": "2d2611f764b4668bb7a731f10f94c4820b9416ca443f941bec97f2f7bd5a4eea"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 4,
"globalIndex": 28745597,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 52916354,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805bafad0e1d660",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1660912541341]"
},
"R5": {
"serializedValue": "0e20bc6bcec084bfd9da03d3010fe9088c7507092c6f02551820ea83be50172d20b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc6bcec084bfd9da03d3010fe9088c7507092c6f02551820ea83be50172d20b3"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
"boxId": "469f525ceb4c5ef54b910c0800987dcb9bc418d55b9906abaae6d5a10afc4b4a",
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"value": 1000000,
"index": 5,
"globalIndex": 28745598,
"creationHeight": 994298,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1424522426,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805f2bccce7a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1654342127417]"
},
"R5": {
"serializedValue": "0e206fc524c29f244f8657c43cf1b4e2ce4352ebee7c5607adbc2e09eb5173a0c5d9",
"sigmaType": "Coll[SByte]",
"renderedValue": "6fc524c29f244f8657c43cf1b4e2ce4352ebee7c5607adbc2e09eb5173a0c5d9"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1059141553,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805eafcbbeca560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1654347235125]"
},
"R5": {
"serializedValue": "0e20408987f017993dd1811c1e95b8f37359bfe2d06f26a9e0225c84c21133288300",
"sigmaType": "Coll[SByte]",
"renderedValue": "408987f017993dd1811c1e95b8f37359bfe2d06f26a9e0225c84c21133288300"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"value": 1000000,
"index": 7,
"globalIndex": 28745600,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 553287477,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102980592c68cc4db60",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1661552660873]"
},
"R5": {
"serializedValue": "0e20084f9cadbc74b0e2edaa134fcde4d28c316141a8d1727dcb3346e6e3bf727feb",
"sigmaType": "Coll[SByte]",
"renderedValue": "084f9cadbc74b0e2edaa134fcde4d28c316141a8d1727dcb3346e6e3bf727feb"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
"boxId": "f21b909c230d514bb35f49f8ffa99c08dd8bb81e5163f234a8d1411528738291",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 8,
"globalIndex": 28745601,
"creationHeight": 994298,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1013433440,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805accdb09c8b61",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1667953464150]"
},
"R5": {
"serializedValue": "0e2008b72976479a6dbd9a92d02f9a5290a0e0b35526a05d6e69cf3ec19642d2389d",
"sigmaType": "Coll[SByte]",
"renderedValue": "08b72976479a6dbd9a92d02f9a5290a0e0b35526a05d6e69cf3ec19642d2389d"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"index": 9,
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"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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 9525697686,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805e2e0e3f6a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1654358046769]"
},
"R5": {
"serializedValue": "0e20348dd732ea71897e399036f1875c43ba9c2a7b56153cfe0318685b477a86023b",
"sigmaType": "Coll[SByte]",
"renderedValue": "348dd732ea71897e399036f1875c43ba9c2a7b56153cfe0318685b477a86023b"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 10,
"globalIndex": 28745603,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": [
{
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"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 19980118,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1102980584bbb2d9f961",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1682781392578]"
},
"R5": {
"serializedValue": "0e2082405fa01e48866a23b42ad52dbfed9258f074cae4d77e5702eacee3e724a51b",
"sigmaType": "Coll[SByte]",
"renderedValue": "82405fa01e48866a23b42ad52dbfed9258f074cae4d77e5702eacee3e724a51b"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 1000000,
"index": 11,
"globalIndex": 28745604,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 1\n4: 0\n5: 0\n6: 0\n7: false\n8: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\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": "245957934c20285ada547aa8f2c8e6f7637be86a1985b3e4c36e4e1ad8ce97ab",
"index": 0,
"amount": 1,
"name": "Paideia Stake Token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4770977000,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11029805bcbcb7f9a560",
"sigmaType": "Coll[SLong]",
"renderedValue": "[332,1654360829726]"
},
"R5": {
"serializedValue": "0e2087c9f002bbdf8074e5952e8cc19395a2e432ebec9430f37b6b7ea5b442129c22",
"sigmaType": "Coll[SByte]",
"renderedValue": "87c9f002bbdf8074e5952e8cc19395a2e432ebec9430f37b6b7ea5b442129c22"
}
},
"spentTransactionId": "3bc2a93d87b9537d0e8e91450b552186976d01b9689be6f7dedbcb34ae1a16b6",
"mainChain": true
},
{
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"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 5750000,
"index": 12,
"globalIndex": 28745605,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(18,-69,-17,54,-22,-91,-26,27,100,-43,25,25,106,30,-114,-66,-93,96,-15,-118,-70,-101,2,-46,-94,27,22,-14,98,8,-106,15)\n3: 0\n4: 0\n5: Coll(-74,-126,-83,-98,-116,86,-59,-96,-70,127,-30,-45,-39,-78,-5,-44,10,-7,-119,-24,-121,6,40,-12,-96,58,-31,2,45,54,-16,-111)\n6: 2\n7: 0\n8: false\n9: 0\n10: 0\n11: false\n12: 1\n13: 0\n14: 100000000\n15: 1\n16: 500000\n17: 2\n18: 1000000\n19: false\n20: 4\n21: 1\n22: 3000000\n23: 1000000\n24: 1000000\n25: 5\n26: 3000000\n27: 6\n28: 1000000\n29: false\n30: 0\n31: 0\n32: Coll(36,89,87,-109,76,32,40,90,-38,84,122,-88,-14,-56,-26,-9,99,123,-24,106,25,-123,-77,-28,-61,110,78,26,-40,-50,-105,-85)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-77,17,66,84,9,-1,46,-113,89,1,-46,48,120,-116,102,40,-75,-124,107,-32,-71,-58,102,33,-28,-120,11,8,109,-43,-22,-17)\n46: false",
"ergoTreeScript": "{\n val bool1 = OUTPUTS.size == placeholder[Int](0)\n val tuple2 = (Coll[Byte](), placeholder[Long](1))\n val coll3 = placeholder[Coll[Byte]](2)\n val bool4 = if (!bool1) {\n (INPUTS(placeholder[Int](3)).tokens.getOrElse(placeholder[Int](4), tuple2)._1 == placeholder[Coll[Byte]](5)) && (\n INPUTS(placeholder[Int](6)).tokens.getOrElse(placeholder[Int](7), tuple2)._1 == coll3\n )\n } else { placeholder[Boolean](8) }\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n val box7 = INPUTS(placeholder[Int](9))\n val bool8 = if (!(bool1 || bool4)) { box7.tokens.getOrElse(placeholder[Int](10), tuple2)._1 == coll3 } else { placeholder[Boolean](11) }\n val i9 = INPUTS.size\n val i10 = i9 - placeholder[Int](12)\n sigmaProp(((if (bool1) {(\n val box11 = OUTPUTS(placeholder[Int](13))\n val coll12 = SELF.propositionBytes\n val l13 = SELF.value\n allOf(Coll[Boolean](box11.propositionBytes == coll12, box11.value > l13, l13 <= placeholder[Long](14), OUTPUTS(placeholder[Int](15)).value == placeholder[Long](16) * INPUTS.filter({(box14: Box) => box14.propositionBytes == coll12 }).size.toLong, OUTPUTS(placeholder[Int](17)).value == placeholder[Long](18)))\n )} else { placeholder[Boolean](19) } || if (bool4) {(\n val box11 = OUTPUTS(placeholder[Int](20))\n allOf(Coll[Boolean](INPUTS(INPUTS.size - placeholder[Int](21)).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - placeholder[Long](22) - placeholder[Long](23) - placeholder[Long](24), OUTPUTS(placeholder[Int](25)).value == placeholder[Long](26), OUTPUTS(placeholder[Int](27)).value == placeholder[Long](28)))\n )} else { placeholder[Boolean](29) }) || if (bool8) {(\n val box11 = OUTPUTS(i10)\n val i12 = INPUTS.filter({(box12: Box) =>\n val coll14 = box12.tokens\n if (coll14.size > placeholder[Int](30)) { (coll14(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32)) && (box12.R4[Coll[Long]].get(placeholder[Int](33)) == box7.R4[Coll[Long]].get(placeholder[Int](34))) } else { placeholder[Boolean](35) }\n }).size\n val l13 = i12.toLong\n val l14 = placeholder[Long](36) + placeholder[Long](37) * l13\n val l15 = placeholder[Long](38) + placeholder[Long](39) * l13\n allOf(Coll[Boolean](INPUTS(i10).id == SELF.id, box11.propositionBytes == coll5, box11.value >= l6 - l14 - l15, OUTPUTS(i9).value == l14, OUTPUTS(i9 + placeholder[Int](40)).value == l15, i9 == i12 + placeholder[Int](41)))\n )} else { placeholder[Boolean](42) }) || if (!((bool1 || bool4) || bool8)) { OUTPUTS(placeholder[Int](43)).tokens.getOrElse(placeholder[Int](44), tuple2)._1 == placeholder[Coll[Byte]](45) } else { placeholder[Boolean](46) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7a10d9d9011abf0bc4df579a355ba237a397f669b00da2d4c2d18d54d6a244f7",
"mainChain": true
},
{
"boxId": "a5649dd8e99bba12248099d25a93cf55dc490afe5b6c469ec759b4f7c2069b31",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 2150000,
"index": 13,
"globalIndex": 28745606,
"creationHeight": 994298,
"settlementHeight": 994300,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cf0614fa6365257de9b6055ba6032809826f43f40462faf961e312f48c51ecc2",
"mainChain": true
},
{
"boxId": "94e4d953e9c04130e48d81ba2f7a1583bee8e43b9762dd382415726e801909b3",
"transactionId": "959cd90d047ec89a54839ffb6b2c1887f3b7ebeb0fedd78a48225e6305962862",
"blockId": "0b149af5bced09f27c834b150f2fcb6972a12b74de153de393829875ffbec8ef",
"value": 2100000,
"index": 14,
"globalIndex": 28745607,
"creationHeight": 994298,
"settlementHeight": 994300,
"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": "bb5bf9b873c6eb32dc317550e88e5a543a188369b22bd85fa066530841ac1e08",
"mainChain": true
}
],
"size": 8436,
"isUnconfirmed": false
}