Transaction
ID: 2f7b078dac...3b1c
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:
0.76875 ERG
Outputs (7)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
273.90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.76375 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 1,011,852
Total coins transferred: 0.77175 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000255 ERG
Raw Transaction Data
{
"id": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"inclusionHeight": 748617,
"timestamp": 1652447337524,
"index": 9,
"globalIndex": 3177750,
"numConfirmations": 1011852,
"inputs": [
{
"boxId": "1220f8f4f309f278628dd70f9b7901b64a807a3e273fdecfabff88ce8020da64",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5cbd90215a299474137d5f0beb42da5963039cf93fb5218a2969e364643c40a4",
"outputTransactionId": "5f3aa7386f262893f91f7f7130f64e820db6a6642280ab26acf6d84417028755",
"outputIndex": 0,
"outputGlobalIndex": 16675467,
"outputCreatedAt": 748591,
"outputSettledAt": 748593,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-115,-65,48,88,-22,-34,108,50,-100,-9,93,34,-68,54,70,59,-3,-52,101,97,-11,-15,-94,37,-116,-103,123,-86,76,-100,51,-22)\n6: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n7: 0\n8: 0\n9: 4\n10: 4\n11: 2\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 3\n23: 3\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 1\n36: 2\n37: 0\n38: 0\n39: 0\n40: 1\n41: 2\n42: 2\n43: 3\n44: 3\n45: 0\n46: 1\n47: 2\n48: 1\n49: 1\n50: 1\n51: 0\n52: Coll(-1,-48,-89,-116,-126,-64,59,29,-111,-21,-18,21,-107,-91,-31,77,75,91,-49,-127,31,18,90,-66,11,-60,26,-51,29,98,-76,-104)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(-99,92,-6,-67,14,-127,31,-5,-32,120,62,5,-73,102,-31,-71,-93,-87,-115,23,-7,23,-93,-117,6,89,65,-89,-44,92,101,-82)\n59: 1\n60: 1\n61: 2\n62: 0\n63: 1\n64: 1\n65: 2\n66: 2\n67: 3\n68: 0\n69: 0\n70: 3\n71: 1\n72: 0\n73: 1\n74: 1\n75: 0\n76: 2\n77: 0\n78: 1\n79: 2\n80: 2\n81: 1\n82: 0\n83: 3\n84: 3\n85: 1\n86: 0\n87: 0\n88: 2\n89: 0\n90: 1\n91: 1\n92: 1000\n93: 0\n94: 1\n95: 1\n96: true\n97: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = box9.R4[Coll[Long]].get\n val coll15 = SELF.R4[Coll[Long]].get\n val coll16 = placeholder[Coll[Byte]](5)\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = tuple3._2\n val coll19 = placeholder[Coll[Byte]](6)\n val tuple20 = coll10(placeholder[Int](7))\n val tuple21 = coll5(placeholder[Int](8))\n val l22 = coll15(placeholder[Int](9))\n val bool23 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple20._1 == tuple21._1, tuple20._2 == tuple21._2, tuple11._1 == coll7, coll14(\n placeholder[Int](10)\n ) == l22, coll10.size == placeholder[Int](11)\n )\n )\n if (bool8) { if (l12 < l13) {(\n val tuple24 = coll2(placeholder[Int](12))\n val l25 = tuple24._2\n val l26 = coll15(placeholder[Int](13))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](14))\n val tuple30 = box29.tokens(placeholder[Int](15))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](16)) == coll15(placeholder[Int](17)) + l25, coll14(placeholder[Int](18)) == l26, coll14(placeholder[Int](19)) == coll15(placeholder[Int](20)) + placeholder[Long](21), coll14(placeholder[Int](22)) == coll15(placeholder[Int](23)), l12 == l13 - placeholder[Long](24), blake2b256(box1.propositionBytes) == coll16, coll27(placeholder[Int](25)) == l26, coll27(placeholder[Int](26)) >= l17 - placeholder[Long](27), coll28 == SELF.id, bool8, l18 == placeholder[Long](28), tuple24._1 == coll19, l25 >= placeholder[Long](29), box29.propositionBytes == INPUTS(placeholder[Int](30)).R5[Coll[Byte]].get, tuple30._1 == coll28, tuple30._2 == placeholder[Long](31))))\n )} else {(\n val tuple24 = coll2(placeholder[Int](32))\n val l25 = tuple24._2\n val box26 = INPUTS(placeholder[Int](33))\n val l27 = box26.tokens(placeholder[Int](34))._2\n val l28 = coll15(placeholder[Int](35))\n val coll29 = box1.R4[Coll[Long]].get\n val coll30 = box1.R5[Coll[Byte]].get\n val tuple31 = OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](38)) == coll15(placeholder[Int](39)) + l25 - l27, coll14(placeholder[Int](40)) == l28, coll14(placeholder[Int](41)) == coll15(placeholder[Int](42)), coll14(placeholder[Int](43)) == coll15(placeholder[Int](44)), l12 == l13, blake2b256(box1.propositionBytes) == coll16, blake2b256(box26.propositionBytes) == coll16, coll29(placeholder[Int](45)) == l28, coll29 == box26.R4[Coll[Long]].get, coll30 == box26.R5[Coll[Byte]].get, bool8, l18 == placeholder[Long](46), tuple24._1 == coll19, l25 == l27 + INPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2, tuple31._1 == coll30, tuple31._2 == placeholder[Long](49))))\n )} } else {(\n val box24 = INPUTS(placeholder[Int](50))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](51))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](52)) && (INPUTS.size >= placeholder[Int](53))) {(\n val box28 = INPUTS(placeholder[Int](54))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll15(placeholder[Int](55))\n val l31 = coll14(placeholder[Int](56))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box28.tokens(placeholder[Int](57))._1 == placeholder[Coll[Byte]](58), coll29(placeholder[Int](59)) == l30 - placeholder[Long](60), coll29(\n placeholder[Int](61)\n ) == placeholder[Long](62), coll14(placeholder[Int](63)) == l30 + placeholder[Long](64), coll14(placeholder[Int](65)) == coll15(\n placeholder[Int](66)\n ), l31 == coll15(placeholder[Int](67)) + l22, l31 < l17, l12 == l13\n )\n )\n )\n )} else {(\n val l28 = coll15(placeholder[Int](68))\n val l29 = coll14(placeholder[Int](69))\n if (((l28 > l29) && (INPUTS.size >= placeholder[Int](70))) && (coll25.size > placeholder[Int](71))) {(\n val coll30 = box24.R5[Coll[Byte]].get\n val coll31 = box24.R4[Coll[Long]].get\n val l32 = coll31(placeholder[Int](72))\n val l33 = coll15(placeholder[Int](73))\n val l34 = l28 - l29\n val tuple35 = coll25(placeholder[Int](74))\n val l36 = tuple35._2 - l34\n val bool37 = l36 == placeholder[Long](75)\n val coll38 = tuple35._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, INPUTS(placeholder[Int](76)).tokens(placeholder[Int](77))._1 == coll30, l32 == l33, l29 == l28 - l34, coll14(\n placeholder[Int](78)\n ) == l33, coll14(placeholder[Int](79)) == coll15(placeholder[Int](80)) - if (bool37) { placeholder[Long](81) } else {\n placeholder[Long](82)\n }, coll14(placeholder[Int](83)) == coll15(placeholder[Int](84)), l12 == l13 + if (bool37) { placeholder[Long](85) } else {\n placeholder[Long](86)\n }, coll4 == coll38, l18 == l34, if (l36 > placeholder[Long](87)) {(\n val box39 = OUTPUTS(placeholder[Int](88))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](89))\n val tuple42 = coll40(placeholder[Int](90))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n coll2(\n placeholder[Int](91)\n )._1 == coll30, box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll38, tuple42._2 == l36, l36 >= placeholder[\n Long\n ](92), coll43(placeholder[Int](93)) == l32, coll43(placeholder[Int](94)) == coll31(placeholder[Int](95))\n )\n )\n )} else { placeholder[Boolean](96) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](97)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5aa861e5dc77f860188322a78ca8081291b43df78049a7ba98224c2a6d1ca371",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "83857c35968130a6d91483a278ce087dd223f031abf56f1133a2e59c923dc584",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105d0b2f388636202e0e8f0d4976080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13296889000,49,1,1652443454000,3600000]"
}
}
},
{
"boxId": "b261bbf055b9ee2f740600a89e8a17dfb32620eda385c74cbe2eb52f97bcb9a2",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5cbd90215a299474137d5f0beb42da5963039cf93fb5218a2969e364643c40a4",
"outputTransactionId": "5f3aa7386f262893f91f7f7130f64e820db6a6642280ab26acf6d84417028755",
"outputIndex": 1,
"outputGlobalIndex": 16675468,
"outputCreatedAt": 748591,
"outputSettledAt": 748593,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 3\n22: 0\n23: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n24: 1000000\n25: true\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n val coll10 = tuple5._1\n val l11 = l9 / placeholder[Long](11)\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](12))._1 == coll4(placeholder[Int](13))._1, if (l8 > l9) {(\n val tuple12 = coll3(placeholder[Int](14))\n (tuple12._1 == coll10) && (tuple12._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](15) }, box2.R4[Coll[Long]].get(placeholder[Int](16)) == l9, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l9 - l11 - l7, if (coll3.size > placeholder[Int](20)) {(\n val box12 = OUTPUTS(placeholder[Int](21))\n val tuple13 = box12.tokens(placeholder[Int](22))\n allOf(Coll[Boolean](box12.propositionBytes == placeholder[Coll[Byte]](23), box12.value == placeholder[Long](24), tuple13._1 == coll10, tuple13._2 == l11))\n )} else { placeholder[Boolean](25) }))\n )\n )} else {\n if (box1.id == SELF.id) { sigmaProp(OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get) } else {\n sigmaProp(placeholder[Boolean](28))\n }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "ffd0a78c82c03b1d91ebee1595a5e14d4b5bcf811f125abe0bc41acd1d62b498",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 86578900000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20e06c878fced4162c13e53d14ab574109317d5a425ff98dcff8ad0fcd88d54050",
"sigmaType": "Coll[SByte]",
"renderedValue": "e06c878fced4162c13e53d14ab574109317d5a425ff98dcff8ad0fcd88d54050"
}
}
},
{
"boxId": "a54fcf97b97d4541a38454407c210c0e7762dd4f83dca8a7efab5e92d481c4b0",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "22bd1cc55b791212bbfd83d4d1c37fa60ef56d0d04f27698d595c11514aa164a",
"outputTransactionId": "679b3c4aee111193c57f401c40b888f796d1281e8c001d4b992536c7af46baf8",
"outputIndex": 0,
"outputGlobalIndex": 16675509,
"outputCreatedAt": 748593,
"outputSettledAt": 748595,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n2: 0\n3: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 100\n21: 0\n22: 0\n23: 0\n24: 1\n25: 0\n26: 0\n27: Coll(-125,-123,124,53,-106,-127,48,-90,-39,20,-125,-94,120,-50,8,125,-46,35,-16,49,-85,-11,111,17,51,-94,-27,-100,-110,61,-59,-124)\n28: 0\n29: 1\n30: false\n31: 3\n32: 0\n33: 0\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 1\n41: 1\n42: 2\n43: 2\n44: 3\n45: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 - l8 / placeholder[Long](20) } else { l10 }, coll11(\n placeholder[Int](21)\n )._1 == coll9(placeholder[Int](22))._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](23))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](24))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](25)) { (coll9(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27)) && (box7.R4[Coll[Long]].get(placeholder[Int](28)) == SELF.R4[Coll[Long]].get(placeholder[Int](29))) } else { placeholder[Boolean](30) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](31))\n val l10 = coll8(placeholder[Int](32))\n val l11 = coll7.fold(placeholder[Long](33), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](34))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](35))._1 == coll5(placeholder[Int](36))._1, if (l6 <= l11) { coll4.size == placeholder[Int](37) } else {(\n val tuple13 = coll4(placeholder[Int](38))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](39)) == l10, coll12(placeholder[Int](40)) == coll8(placeholder[Int](41)), coll12(placeholder[Int](42)) == coll8(placeholder[Int](43)) - coll7.size.toLong, coll12(placeholder[Int](44)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](45)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "9d5cfabd0e811ffbe0783e05b766e1b9a3a98d17f917a38b065941a7d45c65ae",
"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110480d8a686616000d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13025728000,48,0,271161000]"
}
}
},
{
"boxId": "9fb96efddb6b4629cf8c0b68e7161714e8de8fbdaa619928e3728d49772d90cc",
"value": 768750000,
"index": 3,
"spendingProof": null,
"outputBlockId": "22bd1cc55b791212bbfd83d4d1c37fa60ef56d0d04f27698d595c11514aa164a",
"outputTransactionId": "679b3c4aee111193c57f401c40b888f796d1281e8c001d4b992536c7af46baf8",
"outputIndex": 2,
"outputGlobalIndex": 16675511,
"outputCreatedAt": 748593,
"outputSettledAt": 748595,
"ergoTree": "1026040004000e209d5cfabd0e811ffbe0783e05b766e1b9a3a98d17f917a38b065941a7d45c65ae0e205aa861e5dc77f860188322a78ca8081291b43df78049a7ba98224c2a6d1ca371040404000408040205809bee020580897a0580897a040a05809bee02040c0580897a0402040004000e2083857c35968130a6d91483a278ce087dd223f031abf56f1133a2e59c923dc58404000402010005c0843d05e0a7120580897a05c09a0c0402040404060400058084af5f040205c0843d04040580897a040004000e20e06c878fced4162c13e53d14ab574109317d5a425ff98dcff8ad0fcd88d54050d803d601b2a4730000d6028cb2db6308720173010001d603730295ed9372027303938cb2db6308b2a4730400730500017203d801d604b2a5730600d19683050193c5b2a499b1a4730700c5a793c27204c2a792c17204999999c1a773087309730a93c1b2a5730b00730c93c1b2a5730d00730e959372027203d807d604b1a4d605997204730fd606b2a5720500d607b1b5a4d9010763d801d609db630872079591b172097310ed938cb2720973110001731293b2e4c672070411731300b2e4c6720104117314007315d6087e720705d6099a73169c73177208d60a9a73189c73197208d19683060193c5b2a4720500c5a793c27206c2a792c172069999c1a77209720a93c1b2a5720400720993c1b2a59a7204731a00720a9372049a7207731b9593b1a5731cd803d604b2a5731d00d605c2a7d606c1a7d19683050193c27204720591c172047206907206731e93c1b2a5731f009c73207eb1b5a4d901076393c2720772050593c1b2a57321007322d1938cb2db6308b2a5732300732400017325",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-99,92,-6,-67,14,-127,31,-5,-32,120,62,5,-73,102,-31,-71,-93,-87,-115,23,-7,23,-93,-117,6,89,65,-89,-44,92,101,-82)\n3: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n4: 2\n5: 0\n6: 4\n7: 1\n8: 3000000\n9: 1000000\n10: 1000000\n11: 5\n12: 3000000\n13: 6\n14: 1000000\n15: 1\n16: 0\n17: 0\n18: Coll(-125,-123,124,53,-106,-127,48,-90,-39,20,-125,-94,120,-50,8,125,-46,35,-16,49,-85,-11,111,17,51,-94,-27,-100,-110,61,-59,-124)\n19: 0\n20: 1\n21: false\n22: 500000\n23: 150000\n24: 1000000\n25: 100000\n26: 1\n27: 2\n28: 3\n29: 0\n30: 100000000\n31: 1\n32: 500000\n33: 2\n34: 1000000\n35: 0\n36: 0\n37: Coll(-32,108,-121,-113,-50,-44,22,44,19,-27,61,20,-85,87,65,9,49,125,90,66,95,-7,-115,-49,-8,-83,15,-51,-120,-43,64,80)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = placeholder[Coll[Byte]](2)\n if ((coll2 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](7)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 8\n ) - placeholder[Long](9) - placeholder[Long](10), OUTPUTS(placeholder[Int](11)).value == placeholder[Long](12), OUTPUTS(\n placeholder[Int](13)\n ).value == placeholder[Long](14)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](15)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](16)) { (coll9(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18)) && (box7.R4[Coll[Long]].get(placeholder[Int](19)) == box1.R4[Coll[Long]].get(placeholder[Int](20))) } else { placeholder[Boolean](21) }\n }).size\n val l8 = i7.toLong\n val l9 = placeholder[Long](22) + placeholder[Long](23) * l8\n val l10 = placeholder[Long](24) + placeholder[Long](25) * l8\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - l9 - l10, OUTPUTS(i4).value == l9, OUTPUTS(i4 + placeholder[Int](26)).value == l10, i4 == i7 + placeholder[Int](27))))\n )} else { if (OUTPUTS.size == placeholder[Int](28)) {(\n val box4 = OUTPUTS(placeholder[Int](29))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](30), OUTPUTS(placeholder[Int](31)).value == placeholder[Long](32) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](33)).value == placeholder[Long](34))))\n )} else { sigmaProp(OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "2df8ed0cda730f3bc3f93883316ca3affccb47db9cc2cadc7283fce0a3c0ce1a",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 1000000,
"index": 0,
"globalIndex": 16677231,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: Coll(-115,-65,48,88,-22,-34,108,50,-100,-9,93,34,-68,54,70,59,-3,-52,101,97,-11,-15,-94,37,-116,-103,123,-86,76,-100,51,-22)\n6: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n7: 0\n8: 0\n9: 4\n10: 4\n11: 2\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 2\n21: 1\n22: 3\n23: 3\n24: 1\n25: 0\n26: 1\n27: 1800000\n28: 1\n29: 1000\n30: 1\n31: 1\n32: 1\n33: 1\n34: 1\n35: 1\n36: 2\n37: 0\n38: 0\n39: 0\n40: 1\n41: 2\n42: 2\n43: 3\n44: 3\n45: 0\n46: 1\n47: 2\n48: 1\n49: 1\n50: 1\n51: 0\n52: Coll(-1,-48,-89,-116,-126,-64,59,29,-111,-21,-18,21,-107,-91,-31,77,75,91,-49,-127,31,18,90,-66,11,-60,26,-51,29,98,-76,-104)\n53: 3\n54: 2\n55: 1\n56: 3\n57: 0\n58: Coll(-99,92,-6,-67,14,-127,31,-5,-32,120,62,5,-73,102,-31,-71,-93,-87,-115,23,-7,23,-93,-117,6,89,65,-89,-44,92,101,-82)\n59: 1\n60: 1\n61: 2\n62: 0\n63: 1\n64: 1\n65: 2\n66: 2\n67: 3\n68: 0\n69: 0\n70: 3\n71: 1\n72: 0\n73: 1\n74: 1\n75: 0\n76: 2\n77: 0\n78: 1\n79: 2\n80: 2\n81: 1\n82: 0\n83: 3\n84: 3\n85: 1\n86: 0\n87: 0\n88: 2\n89: 0\n90: 1\n91: 1\n92: 1000\n93: 0\n94: 1\n95: 1\n96: true\n97: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val coll7 = tuple6._1\n val bool8 = coll4 == coll7\n val box9 = OUTPUTS(placeholder[Int](3))\n val coll10 = box9.tokens\n val tuple11 = coll10(placeholder[Int](4))\n val l12 = tuple11._2\n val l13 = tuple6._2\n val coll14 = box9.R4[Coll[Long]].get\n val coll15 = SELF.R4[Coll[Long]].get\n val coll16 = placeholder[Coll[Byte]](5)\n val l17 = CONTEXT.preHeader.timestamp\n val l18 = tuple3._2\n val coll19 = placeholder[Coll[Byte]](6)\n val tuple20 = coll10(placeholder[Int](7))\n val tuple21 = coll5(placeholder[Int](8))\n val l22 = coll15(placeholder[Int](9))\n val bool23 = allOf(\n Coll[Boolean](\n box9.propositionBytes == SELF.propositionBytes, box9.value == SELF.value, tuple20._1 == tuple21._1, tuple20._2 == tuple21._2, tuple11._1 == coll7, coll14(\n placeholder[Int](10)\n ) == l22, coll10.size == placeholder[Int](11)\n )\n )\n if (bool8) { if (l12 < l13) {(\n val tuple24 = coll2(placeholder[Int](12))\n val l25 = tuple24._2\n val l26 = coll15(placeholder[Int](13))\n val coll27 = box1.R4[Coll[Long]].get\n val coll28 = box1.R5[Coll[Byte]].get\n val box29 = OUTPUTS(placeholder[Int](14))\n val tuple30 = box29.tokens(placeholder[Int](15))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](16)) == coll15(placeholder[Int](17)) + l25, coll14(placeholder[Int](18)) == l26, coll14(placeholder[Int](19)) == coll15(placeholder[Int](20)) + placeholder[Long](21), coll14(placeholder[Int](22)) == coll15(placeholder[Int](23)), l12 == l13 - placeholder[Long](24), blake2b256(box1.propositionBytes) == coll16, coll27(placeholder[Int](25)) == l26, coll27(placeholder[Int](26)) >= l17 - placeholder[Long](27), coll28 == SELF.id, bool8, l18 == placeholder[Long](28), tuple24._1 == coll19, l25 >= placeholder[Long](29), box29.propositionBytes == INPUTS(placeholder[Int](30)).R5[Coll[Byte]].get, tuple30._1 == coll28, tuple30._2 == placeholder[Long](31))))\n )} else {(\n val tuple24 = coll2(placeholder[Int](32))\n val l25 = tuple24._2\n val box26 = INPUTS(placeholder[Int](33))\n val l27 = box26.tokens(placeholder[Int](34))._2\n val l28 = coll15(placeholder[Int](35))\n val coll29 = box1.R4[Coll[Long]].get\n val coll30 = box1.R5[Coll[Byte]].get\n val tuple31 = OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))\n sigmaProp(allOf(Coll[Boolean](bool23, coll14(placeholder[Int](38)) == coll15(placeholder[Int](39)) + l25 - l27, coll14(placeholder[Int](40)) == l28, coll14(placeholder[Int](41)) == coll15(placeholder[Int](42)), coll14(placeholder[Int](43)) == coll15(placeholder[Int](44)), l12 == l13, blake2b256(box1.propositionBytes) == coll16, blake2b256(box26.propositionBytes) == coll16, coll29(placeholder[Int](45)) == l28, coll29 == box26.R4[Coll[Long]].get, coll30 == box26.R5[Coll[Byte]].get, bool8, l18 == placeholder[Long](46), tuple24._1 == coll19, l25 == l27 + INPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2, tuple31._1 == coll30, tuple31._2 == placeholder[Long](49))))\n )} } else {(\n val box24 = INPUTS(placeholder[Int](50))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](51))\n val coll27 = tuple26._1\n if ((coll27 == placeholder[Coll[Byte]](52)) && (INPUTS.size >= placeholder[Int](53))) {(\n val box28 = INPUTS(placeholder[Int](54))\n val coll29 = box28.R4[Coll[Long]].get\n val l30 = coll15(placeholder[Int](55))\n val l31 = coll14(placeholder[Int](56))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box28.tokens(placeholder[Int](57))._1 == placeholder[Coll[Byte]](58), coll29(placeholder[Int](59)) == l30 - placeholder[Long](60), coll29(\n placeholder[Int](61)\n ) == placeholder[Long](62), coll14(placeholder[Int](63)) == l30 + placeholder[Long](64), coll14(placeholder[Int](65)) == coll15(\n placeholder[Int](66)\n ), l31 == coll15(placeholder[Int](67)) + l22, l31 < l17, l12 == l13\n )\n )\n )\n )} else {(\n val l28 = coll15(placeholder[Int](68))\n val l29 = coll14(placeholder[Int](69))\n if (((l28 > l29) && (INPUTS.size >= placeholder[Int](70))) && (coll25.size > placeholder[Int](71))) {(\n val coll30 = box24.R5[Coll[Byte]].get\n val coll31 = box24.R4[Coll[Long]].get\n val l32 = coll31(placeholder[Int](72))\n val l33 = coll15(placeholder[Int](73))\n val l34 = l28 - l29\n val tuple35 = coll25(placeholder[Int](74))\n val l36 = tuple35._2 - l34\n val bool37 = l36 == placeholder[Long](75)\n val coll38 = tuple35._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, INPUTS(placeholder[Int](76)).tokens(placeholder[Int](77))._1 == coll30, l32 == l33, l29 == l28 - l34, coll14(\n placeholder[Int](78)\n ) == l33, coll14(placeholder[Int](79)) == coll15(placeholder[Int](80)) - if (bool37) { placeholder[Long](81) } else {\n placeholder[Long](82)\n }, coll14(placeholder[Int](83)) == coll15(placeholder[Int](84)), l12 == l13 + if (bool37) { placeholder[Long](85) } else {\n placeholder[Long](86)\n }, coll4 == coll38, l18 == l34, if (l36 > placeholder[Long](87)) {(\n val box39 = OUTPUTS(placeholder[Int](88))\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](89))\n val tuple42 = coll40(placeholder[Int](90))\n val coll43 = box39.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n coll2(\n placeholder[Int](91)\n )._1 == coll30, box39.value == box24.value, tuple41._1 == coll27, tuple41._2 == tuple26._2, tuple42._1 == coll38, tuple42._2 == l36, l36 >= placeholder[\n Long\n ](92), coll43(placeholder[Int](93)) == l32, coll43(placeholder[Int](94)) == coll31(placeholder[Int](95))\n )\n )\n )} else { placeholder[Boolean](96) }\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](97)) }\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5aa861e5dc77f860188322a78ca8081291b43df78049a7ba98224c2a6d1ca371",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake State NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "83857c35968130a6d91483a278ce087dd223f031abf56f1133a2e59c923dc584",
"index": 1,
"amount": 999999999999,
"name": "PaideiaTest Stake Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105a08dc08b656402e0a2a8d8976080bab703",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13568050000,50,1,1652447054000,3600000]"
}
},
"spentTransactionId": "95ab0dc142fad4ac8483d9321a7d0858ac2562e4049edb56ca958e5832cb2005",
"mainChain": true
},
{
"boxId": "d5d78bcbbf7fe49b0791636ab399e7140f85ae7846001dc8296fbe5a4abf7de0",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 1000000,
"index": 1,
"globalIndex": 16677232,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n3: 1\n4: 1\n5: 1\n6: 2\n7: 2\n8: 1\n9: 0\n10: 0\n11: 100\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 3\n22: 0\n23: Coll(0,8,-51,2,24,-109,89,-72,37,-23,106,-93,-57,-81,-112,-55,-107,-115,-123,-38,-8,-8,99,88,56,45,-77,48,110,2,76,90,-18,-95,-24,-20)\n24: 1000000\n25: true\n26: 0\n27: 0\n28: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n if ((box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).id == SELF.id)) {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](5))\n val coll6 = INPUTS(placeholder[Int](6)).tokens\n val l7 = if (coll6.size >= placeholder[Int](7)) { coll6(placeholder[Int](8))._2 } else { placeholder[Long](9) }\n val l8 = tuple5._2 + l7\n val l9 = SELF.R4[Coll[Long]].get(placeholder[Int](10))\n val coll10 = tuple5._1\n val l11 = l9 / placeholder[Long](11)\n sigmaProp(\n allOf(Coll[Boolean](box2.propositionBytes == SELF.propositionBytes, coll3(placeholder[Int](12))._1 == coll4(placeholder[Int](13))._1, if (l8 > l9) {(\n val tuple12 = coll3(placeholder[Int](14))\n (tuple12._1 == coll10) && (tuple12._2 == l8 - l9)\n )} else { coll3.size == placeholder[Int](15) }, box2.R4[Coll[Long]].get(placeholder[Int](16)) == l9, OUTPUTS(placeholder[Int](17)).R4[Coll[Long]].get(placeholder[Int](18)) == box1.R4[Coll[Long]].get(placeholder[Int](19)) + l9 - l11 - l7, if (coll3.size > placeholder[Int](20)) {(\n val box12 = OUTPUTS(placeholder[Int](21))\n val tuple13 = box12.tokens(placeholder[Int](22))\n allOf(Coll[Boolean](box12.propositionBytes == placeholder[Coll[Byte]](23), box12.value == placeholder[Long](24), tuple13._1 == coll10, tuple13._2 == l11))\n )} else { placeholder[Boolean](25) }))\n )\n )} else {\n if (box1.id == SELF.id) { sigmaProp(OUTPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == SELF.R5[Coll[Byte]].get) } else {\n sigmaProp(placeholder[Boolean](28))\n }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "ffd0a78c82c03b1d91ebee1595a5e14d4b5bcf811f125abe0bc41acd1d62b498",
"index": 0,
"amount": 1,
"name": "PaideiaTest Stake Pool NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 1,
"amount": 86305000000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1101c0879b8502",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273900000]"
},
"R5": {
"serializedValue": "0e20e06c878fced4162c13e53d14ab574109317d5a425ff98dcff8ad0fcd88d54050",
"sigmaType": "Coll[SByte]",
"renderedValue": "e06c878fced4162c13e53d14ab574109317d5a425ff98dcff8ad0fcd88d54050"
}
},
"spentTransactionId": "95ab0dc142fad4ac8483d9321a7d0858ac2562e4049edb56ca958e5832cb2005",
"mainChain": true
},
{
"boxId": "85965a2fd5b2bb4d09b5799f69bd2c6c5a26f20150f51f1fb5487bd88299d294",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 1000000,
"index": 2,
"globalIndex": 16677233,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,20,117,-80,110,-44,-46,-94,-2,30,36,76,-107,27,76,112,-39,36,-71,51,-71,-18,5,34,127,47,45,-89,-42,-12,111,-45)\n2: 0\n3: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n4: 2\n5: 2\n6: 3\n7: 1\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 1\n18: 2\n19: 2\n20: 100\n21: 0\n22: 0\n23: 0\n24: 1\n25: 0\n26: 0\n27: Coll(-125,-123,124,53,-106,-127,48,-90,-39,20,-125,-94,120,-50,8,125,-46,35,-16,49,-85,-11,111,17,51,-94,-27,-100,-110,61,-59,-124)\n28: 0\n29: 1\n30: false\n31: 3\n32: 0\n33: 0\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 1\n41: 1\n42: 2\n43: 2\n44: 3\n45: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n if ((box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).id == SELF.id)) {(\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box3.R4[Coll[Long]].get\n val coll5 = box1.R4[Coll[Long]].get\n val l6 = coll4(placeholder[Int](6))\n val box7 = INPUTS(placeholder[Int](7))\n val l8 = box7.R4[Coll[Long]].get(placeholder[Int](8))\n val coll9 = SELF.tokens\n val l10 = box7.tokens(placeholder[Int](9))._2 + if (coll9.size >= placeholder[Int](10)) { coll9(placeholder[Int](11))._2 } else { placeholder[Long](12) }\n val coll11 = box3.tokens\n val tuple12 = coll11(placeholder[Int](13))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](14)) == coll5(placeholder[Int](15)), coll4(placeholder[Int](16)) == coll5(\n placeholder[Int](17)\n ), coll4(placeholder[Int](18)) == coll5(placeholder[Int](19)), l6 == if (l8 < l10) { l8 - l8 / placeholder[Long](20) } else { l10 }, coll11(\n placeholder[Int](21)\n )._1 == coll9(placeholder[Int](22))._1, tuple12._1 == coll2, tuple12._2 == l6\n )\n )\n )\n )} else { if (box1.id == SELF.id) {(\n val box3 = OUTPUTS(placeholder[Int](23))\n val coll4 = box3.tokens\n val coll5 = SELF.tokens\n val l6 = coll5(placeholder[Int](24))._2\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](25)) { (coll9(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27)) && (box7.R4[Coll[Long]].get(placeholder[Int](28)) == SELF.R4[Coll[Long]].get(placeholder[Int](29))) } else { placeholder[Boolean](30) }\n })\n val coll8 = SELF.R4[Coll[Long]].get\n val l9 = coll8(placeholder[Int](31))\n val l10 = coll8(placeholder[Int](32))\n val l11 = coll7.fold(placeholder[Long](33), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](34))._2 * l9 / l10 })\n val coll12 = box3.R4[Coll[Long]].get\n sigmaProp(allOf(Coll[Boolean](box3.propositionBytes == SELF.propositionBytes, coll4(placeholder[Int](35))._1 == coll5(placeholder[Int](36))._1, if (l6 <= l11) { coll4.size == placeholder[Int](37) } else {(\n val tuple13 = coll4(placeholder[Int](38))\n (tuple13._1 == coll2) && (tuple13._2 >= l6 - l11)\n )}, coll12(placeholder[Int](39)) == l10, coll12(placeholder[Int](40)) == coll8(placeholder[Int](41)), coll12(placeholder[Int](42)) == coll8(placeholder[Int](43)) - coll7.size.toLong, coll12(placeholder[Int](44)) == l9)))\n )} else { sigmaProp(placeholder[Boolean](45)) } }\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "PaideiaTest Emission NFT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 271161000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1104d0b2f388636202d0dacc8202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13296889000,49,1,271161000]"
}
},
"spentTransactionId": "8a5917f284b2071db8cbd8cebe9ba793b244d67694ef4382693d0751837e1be4",
"mainChain": true
},
{
"boxId": "0e8f5384e02c63807e931c5cc51d5169e5c53b1f936d30f62dec3877ceaca723",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 1000000,
"index": 3,
"globalIndex": 16677234,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "0008cd02189359b825e96aa3c7af90c9958d85daf8f86358382db3306e024c5aeea1e8ec",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(189359,e77654,...)))}",
"address": "9ehtGMAL6gxjjz7TY8QdKnbsXzt8XSgEX4MuMKauf8cZpPumEtU",
"assets": [
{
"tokenId": "001475b06ed4d2a2fe1e244c951b4c70d924b933b9ee05227f2f2da7d6f46fd3",
"index": 0,
"amount": 2739000,
"name": "PaideiaTest",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fb94470f0d8063aabf7f40e063bc71b3e830b53471262996a478f4cf2bf27a7b",
"mainChain": true
},
{
"boxId": "9186d454181c14cdc73bd0f4468f1f9b9460bcbff5eab9220a0da5421fe9793a",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 763750000,
"index": 4,
"globalIndex": 16677235,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-99,92,-6,-67,14,-127,31,-5,-32,120,62,5,-73,102,-31,-71,-93,-87,-115,23,-7,23,-93,-117,6,89,65,-89,-44,92,101,-82)\n3: Coll(90,-88,97,-27,-36,119,-8,96,24,-125,34,-89,-116,-88,8,18,-111,-76,61,-9,-128,73,-89,-70,-104,34,76,42,109,28,-93,113)\n4: 2\n5: 0\n6: 4\n7: 1\n8: 3000000\n9: 1000000\n10: 1000000\n11: 5\n12: 3000000\n13: 6\n14: 1000000\n15: 1\n16: 0\n17: 0\n18: Coll(-125,-123,124,53,-106,-127,48,-90,-39,20,-125,-94,120,-50,8,125,-46,35,-16,49,-85,-11,111,17,51,-94,-27,-100,-110,61,-59,-124)\n19: 0\n20: 1\n21: false\n22: 500000\n23: 150000\n24: 1000000\n25: 100000\n26: 1\n27: 2\n28: 3\n29: 0\n30: 100000000\n31: 1\n32: 500000\n33: 2\n34: 1000000\n35: 0\n36: 0\n37: Coll(-32,108,-121,-113,-50,-44,22,44,19,-27,61,20,-85,87,65,9,49,125,90,66,95,-7,-115,-49,-8,-83,15,-51,-120,-43,64,80)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens(placeholder[Int](1))._1\n val coll3 = placeholder[Coll[Byte]](2)\n if ((coll2 == placeholder[Coll[Byte]](3)) && (INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll3)) {(\n val box4 = OUTPUTS(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(INPUTS.size - placeholder[Int](7)).id == SELF.id, box4.propositionBytes == SELF.propositionBytes, box4.value >= SELF.value - placeholder[Long](\n 8\n ) - placeholder[Long](9) - placeholder[Long](10), OUTPUTS(placeholder[Int](11)).value == placeholder[Long](12), OUTPUTS(\n placeholder[Int](13)\n ).value == placeholder[Long](14)\n )\n )\n )\n )} else { if (coll2 == coll3) {(\n val i4 = INPUTS.size\n val i5 = i4 - placeholder[Int](15)\n val box6 = OUTPUTS(i5)\n val i7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n if (coll9.size > placeholder[Int](16)) { (coll9(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18)) && (box7.R4[Coll[Long]].get(placeholder[Int](19)) == box1.R4[Coll[Long]].get(placeholder[Int](20))) } else { placeholder[Boolean](21) }\n }).size\n val l8 = i7.toLong\n val l9 = placeholder[Long](22) + placeholder[Long](23) * l8\n val l10 = placeholder[Long](24) + placeholder[Long](25) * l8\n sigmaProp(allOf(Coll[Boolean](INPUTS(i5).id == SELF.id, box6.propositionBytes == SELF.propositionBytes, box6.value >= SELF.value - l9 - l10, OUTPUTS(i4).value == l9, OUTPUTS(i4 + placeholder[Int](26)).value == l10, i4 == i7 + placeholder[Int](27))))\n )} else { if (OUTPUTS.size == placeholder[Int](28)) {(\n val box4 = OUTPUTS(placeholder[Int](29))\n val coll5 = SELF.propositionBytes\n val l6 = SELF.value\n sigmaProp(allOf(Coll[Boolean](box4.propositionBytes == coll5, box4.value > l6, l6 <= placeholder[Long](30), OUTPUTS(placeholder[Int](31)).value == placeholder[Long](32) * INPUTS.filter({(box7: Box) => box7.propositionBytes == coll5 }).size.toLong, OUTPUTS(placeholder[Int](33)).value == placeholder[Long](34))))\n )} else { sigmaProp(OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37)) } } }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8a5917f284b2071db8cbd8cebe9ba793b244d67694ef4382693d0751837e1be4",
"mainChain": true
},
{
"boxId": "3abacac27b5ebc1365f84b88f49cb7d4afc611feafc460f977de6cf85807d0e2",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 3000000,
"index": 5,
"globalIndex": 16677236,
"creationHeight": 748615,
"settlementHeight": 748617,
"ergoTree": "0008cd03c4bd1fce22aecf12897869cc0381968ee0910f6c870667095d6c36b3847fe140",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c4bd1f,23d30b,...)))}",
"address": "9hxT7sAZEmLWGNp3gN8RRw4qS1NxDMsCtuJkrQ5oEq5w1g7s97U",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c82e15ed9a8f0ba3d39a33ccf03fef932a37ff37945726def5632bd066adfd60",
"mainChain": true
},
{
"boxId": "b57638ce23218561edf7831ae05a34ac5e483eed6d882da5c6d9ec1aa7556c9b",
"transactionId": "2f7b078dac5d369c4e1f1c1d9002d4eecf6ee62c3d8fed6579aa015c19133b1c",
"blockId": "70ff9c745a1bd349a29046b0a761b0691aea6bb2222a73eefb83da62acd5cd4a",
"value": 1000000,
"index": 6,
"globalIndex": 16677237,
"creationHeight": 748615,
"settlementHeight": 748617,
"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": "c4d68bbaf1607eaf88176332d970cab97de29a76595233cb25b047e670690e9e",
"mainChain": true
}
],
"size": 3929,
"isUnconfirmed": false
}