Transaction
ID: 80cd93c1ec...9fa9
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.07825 ERG
Outputs (7)
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
273.90
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 1,008,528
Total coins transferred: 0.08125 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000249 ERG
Raw Transaction Data
{
"id": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"inclusionHeight": 764061,
"timestamp": 1654285419152,
"index": 18,
"globalIndex": 3292497,
"numConfirmations": 1008528,
"inputs": [
{
"boxId": "61cf872cb0520d0b5d952af93da8aaef9d6ffdcba941675e0302ad8a555755a7",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "66276e376a5f66bb21a9a0bec8f366dd3401155e9e1313d63582a17489c68721",
"outputTransactionId": "68ec914bfc07cd2c7ef6520def288cb74362e155d06643d5787704044887beb8",
"outputIndex": 0,
"outputGlobalIndex": 17448120,
"outputCreatedAt": 764031,
"outputSettledAt": 764033,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(-123,57,-75,0,19,42,-95,-93,102,-73,-118,13,-112,19,35,-117,-43,-33,-72,7,-20,54,76,-104,31,-67,27,-39,-59,-116,-110,82)\n19: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-50,-5,-3,-83,-103,-21,10,59,-8,54,-43,97,-45,-56,68,-33,77,58,-99,30,122,124,-124,121,-87,38,33,101,-50,120,123,-127)\n50: 2\n51: 1\n52: 0\n53: Coll(42,-58,88,61,-53,-63,30,19,117,-116,-88,70,56,-115,-83,-74,125,95,9,-2,-30,114,67,-64,-12,47,-46,-128,-58,37,-77,71)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "aad0b57e456c696841155d414184442ff269f233a3ac87f52050003c1bdce2cd",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c1eafc184b24ac1fb59d238f659cd6bdcc258604fa29c078a6667808dad94889",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105a0e4c3a3141402b0caa3ada56080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2721610000,10,1,1654280975000,3600000]"
}
}
},
{
"boxId": "f4b1d6ce9a666a20234a79cf8ad7c481d57ede83052e9bbc585110b4271505a0",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "66276e376a5f66bb21a9a0bec8f366dd3401155e9e1313d63582a17489c68721",
"outputTransactionId": "68ec914bfc07cd2c7ef6520def288cb74362e155d06643d5787704044887beb8",
"outputIndex": 1,
"outputGlobalIndex": 17448121,
"outputCreatedAt": 764031,
"outputSettledAt": 764033,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "cefbfdad99eb0a3bf836d561d3c844df4d3a9d1e7a7c8479a9262165ce787b81",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 97261000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20c50a7127b95f9ca0dd2f8da8ed6c1c93d5a791c899103f88baa8127c9ab8783b",
"sigmaType": "Coll[SByte]",
"renderedValue": "c50a7127b95f9ca0dd2f8da8ed6c1c93d5a791c899103f88baa8127c9ab8783b"
}
}
},
{
"boxId": "a1611d2d9fe1b972d7c86e75283db86e6b42c76c155a96aa1fe4f283c725db1a",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "66276e376a5f66bb21a9a0bec8f366dd3401155e9e1313d63582a17489c68721",
"outputTransactionId": "c7f9a425037013fe693ceb3d5a3e47dbc9ccb1ba95bbb13c9e7e011cd975b0c0",
"outputIndex": 0,
"outputGlobalIndex": 17448127,
"outputCreatedAt": 764031,
"outputSettledAt": 764033,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n4: 0\n5: 0\n6: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\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(-63,-22,-4,24,75,36,-84,31,-75,-99,35,-113,101,-100,-42,-67,-52,37,-122,4,-6,41,-64,120,-90,102,120,8,-38,-39,72,-119)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.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": "2ac6583dcbc11e13758ca846388dadb67d5f09fee27243c0f42fd280c625b347",
"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104d089f7a0121200d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2450449000,9,0,271161000]"
}
}
},
{
"boxId": "afd2aa83cec69f3f2a5a3f46bb4c417347af7fb364107df276b0b9e36f75ed4d",
"value": 78250000,
"index": 3,
"spendingProof": null,
"outputBlockId": "66276e376a5f66bb21a9a0bec8f366dd3401155e9e1313d63582a17489c68721",
"outputTransactionId": "68ec914bfc07cd2c7ef6520def288cb74362e155d06643d5787704044887beb8",
"outputIndex": 4,
"outputGlobalIndex": 17448124,
"outputCreatedAt": 764031,
"outputSettledAt": 764033,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(42,-58,88,61,-53,-63,30,19,117,-116,-88,70,56,-115,-83,-74,125,95,9,-2,-30,114,67,-64,-12,47,-46,-128,-58,37,-77,71)\n3: 0\n4: 0\n5: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\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(-63,-22,-4,24,75,36,-84,31,-75,-99,35,-113,101,-100,-42,-67,-52,37,-122,4,-6,41,-64,120,-90,102,120,8,-38,-39,72,-119)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-59,10,113,39,-71,95,-100,-96,-35,47,-115,-88,-19,108,28,-109,-43,-89,-111,-56,-103,16,63,-120,-70,-88,18,124,-102,-72,120,59)\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": "8e44717cae9270ff33eaa0c883613663c7e24764996786741f12c34a9722c104",
"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"value": 1000000,
"index": 0,
"globalIndex": 17451954,
"creationHeight": 764054,
"settlementHeight": 764061,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(-123,57,-75,0,19,42,-95,-93,102,-73,-118,13,-112,19,35,-117,-43,-33,-72,7,-20,54,76,-104,31,-67,27,-39,-59,-116,-110,82)\n19: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-50,-5,-3,-83,-103,-21,10,59,-8,54,-43,97,-45,-56,68,-33,77,58,-99,30,122,124,-124,121,-87,38,33,101,-50,120,123,-127)\n50: 2\n51: 1\n52: 0\n53: Coll(42,-58,88,61,-53,-63,30,19,117,-116,-88,70,56,-115,-83,-74,125,95,9,-2,-30,114,67,-64,-12,47,-46,-128,-58,37,-77,71)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = SELF.R4[Coll[Long]].get\n val l15 = coll14(placeholder[Int](5))\n val coll16 = box9.R4[Coll[Long]].get\n val l17 = coll16(placeholder[Int](6))\n val l18 = coll16(placeholder[Int](7))\n val l19 = coll14(placeholder[Int](8))\n val l20 = coll14(placeholder[Int](9))\n val l21 = coll16(placeholder[Int](10))\n val l22 = coll16(placeholder[Int](11))\n val l23 = coll14(placeholder[Int](12))\n val tuple24 = coll10(placeholder[Int](13))\n val tuple25 = coll5(placeholder[Int](14))\n val l26 = coll14(placeholder[Int](15))\n val bool27 = allOf(\n Coll[Boolean](\n box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n Int\n ](16), coll16(placeholder[Int](17)) == l26\n )\n )\n val coll28 = placeholder[Coll[Byte]](18)\n val l29 = CONTEXT.preHeader.timestamp\n val l30 = tuple3._2\n val coll31 = placeholder[Coll[Byte]](19)\n val tuple32 = (Coll[Byte](), placeholder[Long](20))\n val box33 = INPUTS(placeholder[Int](21))\n val coll34 = box33.tokens\n val tuple35 = coll34(placeholder[Int](22))\n val coll36 = tuple35._1\n val bool37 = INPUTS.size >= placeholder[Int](23)\n val coll38 = box33.R4[Coll[Long]].get\n val coll39 = box33.R5[Coll[Byte]].get\n val box40 = OUTPUTS(placeholder[Int](24))\n val coll41 = box40.tokens\n sigmaProp((if (bool8) { if (l12 < l13) {(\n val tuple42 = coll2(placeholder[Int](25))\n val l43 = tuple42._2\n val coll44 = box1.R4[Coll[Long]].get\n val coll45 = box1.R5[Coll[Byte]].get\n val box46 = OUTPUTS(placeholder[Int](26))\n val tuple47 = box46.tokens(placeholder[Int](27))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n )} else {(\n val tuple42 = coll2(placeholder[Int](37))\n val l43 = tuple42._2\n val box44 = INPUTS(placeholder[Int](38))\n val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n val coll46 = box1.R4[Coll[Long]].get\n val coll47 = box1.R5[Coll[Byte]].get\n val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n val box42 = INPUTS(placeholder[Int](50))\n val coll43 = box42.R4[Coll[Long]].get\n allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n val tuple42 = coll34(placeholder[Int](60))\n val l43 = l15 - l17\n val l44 = tuple42._2 - l43\n val coll45 = tuple42._1\n val l46 = coll38(placeholder[Int](61))\n val bool47 = l44 <= placeholder[Long](62)\n val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n if (l44 > placeholder[Long](69)) {(\n val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n val tuple50 = coll41(placeholder[Int](71))\n val coll51 = box40.R4[Coll[Long]].get\n allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n )} else { bool48 }\n )} else { placeholder[Boolean](77) })\n}",
"address": "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",
"assets": [
{
"tokenId": "aad0b57e456c696841155d414184442ff269f233a3ac87f52050003c1bdce2cd",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c1eafc184b24ac1fb59d238f659cd6bdcc258604fa29c078a6667808dad94889",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105f0be90a6161602b084dbb0a56080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2992771000,11,1,1654284575000,3600000]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "03974f43c050e5940d29eefe0e32746226eb5cf84295cd652458f7238e2329e1",
"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"value": 1000000,
"index": 1,
"globalIndex": 17451955,
"creationHeight": 764054,
"settlementHeight": 764061,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 3\n13: 0\n14: 0\n15: 1\n16: 1\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n23: 1000000\n24: true\n25: false\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), INPUTS(placeholder[Int](3)).id == coll2))) {(\n val box3 = OUTPUTS(placeholder[Int](4))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = INPUTS(placeholder[Int](6)).tokens\n val l8 = if (coll7.size >= placeholder[Int](7)) { coll7(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l9 = tuple6._2 + l8\n val coll10 = SELF.R4[Coll[Long]].get\n val l11 = coll10(placeholder[Int](10))\n val coll12 = tuple6._1\n val l13 = l11 / placeholder[Long](11)\n val box14 = OUTPUTS(placeholder[Int](12))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box3.value == SELF.value, box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](13))._1 == coll5(placeholder[Int](14))._1, if (l9 > l11) {(\n val tuple15 = coll4(placeholder[Int](15))\n allOf(Coll[Boolean](tuple15._1 == coll12, tuple15._2 == l9 - l11))\n )} else { coll4.size == placeholder[Int](16) }, box3.R4[Coll[Long]].get == coll10, box3.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l11 - l13 - l8)), if (coll4.size > placeholder[Int](20)) {(\n val tuple15 = box14.tokens(placeholder[Int](21))\n allOf(Coll[Boolean](box14.propositionBytes == placeholder[Coll[Byte]](22), box14.value == placeholder[Long](23), tuple15._1 == coll12, tuple15._2 == l13))\n )} else { placeholder[Boolean](24) }))\n )} else { placeholder[Boolean](25) } || if (box1.id == coll2) { OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get } else { placeholder[Boolean](28) })\n}",
"address": "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",
"assets": [
{
"tokenId": "cefbfdad99eb0a3bf836d561d3c844df4d3a9d1e7a7c8479a9262165ce787b81",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 96987100000,
"name": "PaideiaTest",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20c50a7127b95f9ca0dd2f8da8ed6c1c93d5a791c899103f88baa8127c9ab8783b",
"sigmaType": "Coll[SByte]",
"renderedValue": "c50a7127b95f9ca0dd2f8da8ed6c1c93d5a791c899103f88baa8127c9ab8783b"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"value": 1000000,
"index": 2,
"globalIndex": 17451956,
"creationHeight": 764054,
"settlementHeight": 764061,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 1\n3: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n4: 0\n5: 0\n6: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\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(-63,-22,-4,24,75,36,-84,31,-75,-99,35,-113,101,-100,-42,-67,-52,37,-122,4,-6,41,-64,120,-90,102,120,8,-38,-39,72,-119)\n26: 0\n27: 1\n28: false\n29: 3\n30: CBigInt(0)\n31: 1\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 0\n38: 2\n39: 0\n40: 2\n41: 2\n42: 2\n43: 3\n44: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.id\n val box3 = OUTPUTS(placeholder[Int](1))\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = placeholder[Coll[Byte]](3)\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.tokens\n sigmaProp(if (allOf(Coll[Boolean](box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6), INPUTS(placeholder[Int](7)).id == coll2))) {(\n val coll8 = box3.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](8))\n val l10 = box4.R4[Coll[Long]].get(placeholder[Int](9))\n val coll11 = SELF.tokens\n val l12 = box4.tokens(placeholder[Int](10))._2 + coll11.getOrElse(placeholder[Int](11), (Coll[Byte](), placeholder[Long](12)))._2\n val coll13 = box3.tokens\n val tuple14 = coll13(placeholder[Int](13))\n allOf(Coll[Boolean](box3.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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],
"additionalRegisters": {
"R4": {
"serializedValue": "1104a0e4c3a3141402d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2721610000,10,1,271161000]"
}
},
"spentTransactionId": "0abd28c0bf366bb27ae3a4e3dd9b8df2a842a714e4aeda547323b37c5ecc789f",
"mainChain": true
},
{
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"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
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"value": 1000000,
"index": 3,
"globalIndex": 17451957,
"creationHeight": 764054,
"settlementHeight": 764061,
"ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
"address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
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{
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"name": "PaideiaTest",
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"type": "EIP-004"
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{
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"settlementHeight": 764061,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(42,-58,88,61,-53,-63,30,19,117,-116,-88,70,56,-115,-83,-74,125,95,9,-2,-30,114,67,-64,-12,47,-46,-128,-58,37,-77,71)\n3: 0\n4: 0\n5: Coll(-86,-48,-75,126,69,108,105,104,65,21,93,65,65,-124,68,47,-14,105,-14,51,-93,-84,-121,-11,32,80,0,60,27,-36,-30,-51)\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(-63,-22,-4,24,75,36,-84,31,-75,-99,35,-113,101,-100,-42,-67,-52,37,-122,4,-6,41,-64,120,-90,102,120,8,-38,-39,72,-119)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 1\n41: 2\n42: false\n43: 0\n44: 0\n45: Coll(-59,10,113,39,-71,95,-100,-96,-35,47,-115,-88,-19,108,28,-109,-43,-89,-111,-56,-103,16,63,-120,-70,-88,18,124,-102,-72,120,59)\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": null,
"mainChain": true
},
{
"boxId": "99e5d3d1de7338a0437dd475768cba35fffb88ca654295a2beff447f04355769",
"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"value": 3000000,
"index": 5,
"globalIndex": 17451959,
"creationHeight": 764054,
"settlementHeight": 764061,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1ce0238710319537d618dbfe9f0b389cbf92df5614135b173e792bf199fd1844",
"mainChain": true
},
{
"boxId": "927d538685b823466cb22f46440dd05af82190ac2a04aa79ab4edac2e89f0d45",
"transactionId": "80cd93c1eca5d77a8a62eb2821051e6ea29d4b48b900b478a9e7e8cfcb909fa9",
"blockId": "d268be677e6f9c5142be9b64abbafc501c7c33d6554edef676b73924ec64fd2d",
"value": 1000000,
"index": 6,
"globalIndex": 17451960,
"creationHeight": 764054,
"settlementHeight": 764061,
"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": "4101a2ee08adea3cdb003c0dbcc090746331f143b1caa3cf3145ac020c621fd2",
"mainChain": true
}
],
"size": 4020,
"isUnconfirmed": false
}