Transaction
ID: 47ab65b2d3...9126
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
63 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
63 ERG
Outputs (24)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.48 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.89 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.37 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.71 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.19 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.32 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.66 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.38 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.17 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.49 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.9 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.35 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
9.55 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.56 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.94 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.99 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.34 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.517 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.12 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.908 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.583 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.63 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.105 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
62.87 ERG
Transaction Details
Confirmations: 995,357
Total coins transferred: 126 ERG
Fees: 0.105 ERG
Fees per byte: 0.000006349 ERG
Raw Transaction Data
{
"id": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"inclusionHeight": 772618,
"timestamp": 1655303275294,
"index": 2,
"globalIndex": 3364954,
"numConfirmations": 995357,
"inputs": [
{
"boxId": "c28b776bc1c5c76e423ef1b2f42dbfefe1bfb632bd754eb672fa71acc46eee13",
"value": 63000000000,
"index": 0,
"spendingProof": "f4e984ed946469d7b3b6afaf2451341b364008f1182b04af5eba761fce610397c8528342d074cf042beb79d13a84139eba6e8aefb79da5e1",
"outputBlockId": "b368f03fcb0396256259f9dac7dca0f322cd0c4c2222e8313b793ba5aaa724e1",
"outputTransactionId": "7973b6a894a91eb9c9ec709ffb674b64343f7fd3a4435a69dab84647cf0c0276",
"outputIndex": 1,
"outputGlobalIndex": 17877313,
"outputCreatedAt": 771883,
"outputSettledAt": 771883,
"ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
"ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
"ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
"address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "73991f8198eec6d6dd39fdceadede5a7bec5e55e64ef5b404890b387402f46ce",
"value": 63000000000,
"index": 1,
"spendingProof": "7d29453d6f874dac667c6d4caf3e59d25e3a8d301a3dca67e6ad2142864ac5062aa91a2683af950b7d50947ae7c50accaf2bfdf6eb9e8ebf",
"outputBlockId": "94260a6a11edfbbb5c509369f423096cbb8965c0747d16ee74df1db4185b97a2",
"outputTransactionId": "bdd96c67846bad32bc04bd98e7f358298ff65177dcfa445ae2a5e3503a9ced67",
"outputIndex": 1,
"outputGlobalIndex": 17877324,
"outputCreatedAt": 771884,
"outputSettledAt": 771884,
"ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
"ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
"ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
"address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "6fc5f4d7bca3568fbaeccf9497c1ff72b4386ccf73fa4be77f5d1abb9585f8c5",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 5478000000,
"index": 0,
"globalIndex": 17918515,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "102a040004000e204342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e904704020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010100d802d601b2a4730000d602c2a7d195938cb2db63087201730100017302d807d603e4c6b2a4730300040c3c0e11d604e4c67201040c3c0e11d60599b0b5a4d901056393c2720572027304d9010541639a8c720501c18c720502b0b57204d901053c0e11d801d6078c7205028fb27207730500b272077306007307d90105413c0e119a8c720501b28c8c72050202730800d606ade4c67201050c4c0ed901064c0ed801d6089d9c7e8c720602057205730986028c7206019972089e7208730ad607ada5d9010763c27207d608ada5d9010863c17208d609b0b57203d901093c0e11d801d60b8c7209028fb2720b730b00b2720b730c00730dd90109413c0e119a8c720901b28c8c72090202730e00ededaf7203d9010a3c0e11d807d60c8c720a01d60ddc0c1aad7204d9010d3c0e118c720d0102720c730fd60e8c720a02d60fdad9010f05d801d6119d9c99b072067205d90111414d0e998c7211018c8c721102029c73107eb1720305720fb072037311d90111413c0e119a8c721101b28c8c721102027312009972119e7211731301b2720e731400d610b2720e731500d611dc0c1a720702720c7316d612b2720e7317009594720d7318d801d6139ab2b2ad7204d901133c0e118c721302720d00731900720f95927213721095947211731aed93b272087211007213937212731b731ced937211731d93721272139592720f721095947211731eed93b27208721100720f937212731f7320ed9372117321937212720faf7206d9010a4d0ed801d60c8c720a029591720c7322d801d60ddc0c1a7207028c720a0173239594720d732493c1b2a5720d00720c73257326959172097327aea5d9010a63ed93c1720a720993c2720a720273287329",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a710b232975f4c204ece557b269bcd24769fac48b4217ee8dadb4c57a74439ea",
"mainChain": true
},
{
"boxId": "609e482a5c8a991c486d53cae34c18e31c18fdf54f6abd5662bf1523e5b82e4e",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 2891000000,
"index": 1,
"globalIndex": 17918516,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "775cb2509d282f6532e98601f4bc2a3fb1672a1a0ec69a2faf6f19b17b5bfe88",
"mainChain": true
},
{
"boxId": "a7466daf06a871d4a1872a6af2c33566851b924f7e272e95b04440b3ca3e8d63",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 3367000000,
"index": 2,
"globalIndex": 17918517,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "dbe37e407d92201eb4a32f5b41183a5303ce417c7c944174c773e55a9327b481",
"mainChain": true
},
{
"boxId": "b8067bdf800882bbfdda8a81603fed5214946377641b3130d97996f889edca0f",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1707000000,
"index": 3,
"globalIndex": 17918518,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a203b2d82dff9cd8cb453c7c83059316c40a0ebc88fe47fd15b1d2dd3d313280",
"mainChain": true
},
{
"boxId": "fb3fae62b136a60204f86d947975cfb4244d64691f327f9735a30b229814ffb0",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1192000000,
"index": 4,
"globalIndex": 17918519,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "f40ba05bda6338c57daf06f7dda8caa19eb9a4968ddd1bcfaafdbe51fd76237f",
"mainChain": true
},
{
"boxId": "9564ba6337306c867ead9fc031d838370eef9ec13c003e575392299f0170cf32",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 7316000000,
"index": 5,
"globalIndex": 17918520,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "93f0971e7b9a9061f25d834af5819a8d8fb3a9e3022a2d9ee372ba920ff8bf57",
"mainChain": true
},
{
"boxId": "d1dc3ecf0596241ead104177b7217a2171555709bccc69ea257bd60db274ba00",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 2662000000,
"index": 6,
"globalIndex": 17918521,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1ae142827169a45a491684a835454c3cfcde8d6d4b4cdcda740c1dcb901f8309",
"mainChain": true
},
{
"boxId": "79ce1fa8455b9106e5e518069571c9e5d977ca7bb3e8e08ace490d63588b45b3",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 2375000000,
"index": 7,
"globalIndex": 17918522,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5890a4dbcb63587851c0f4f6e5d04f23a497a707f4119756ca5223641d260953",
"mainChain": true
},
{
"boxId": "284f719ce75dace380756a03caf154d1d959ed13fd19e782da461e14789fbd72",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 3167000000,
"index": 8,
"globalIndex": 17918523,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7dfacc62b0d879bd0ba9a3a0584fedf5da5c26afb6b7b236e10d2177679f8249",
"mainChain": true
},
{
"boxId": "8fcc3f803e56bb09a43cef5c8a7d37457567fe66521532417135dad8b275012a",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 2488000000,
"index": 9,
"globalIndex": 17918524,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7adbe24f799a4ea3e486b70b18b9797ceadf793330bd39980681b8a02c2c5638",
"mainChain": true
},
{
"boxId": "a8347f6fe1041552fb55ab6ee251cbfec6eaf41e22df9a30bb0c99a55be2db1b",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 6903000000,
"index": 10,
"globalIndex": 17918525,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e73a9e289361d4e4dc590c7bd85fd4fe7f4b60bbcebb1de4143d633d3028619d",
"mainChain": true
},
{
"boxId": "4974576f82adaa25d3b9624fb2c690831fcd799a5d01dced595ec730dda84484",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1348000000,
"index": 11,
"globalIndex": 17918526,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d86882df80bd6ab47d2312b078b36a7dd8fe0a29d1b7b8997eea1f34919a06a0",
"mainChain": true
},
{
"boxId": "c0b5c080a6c5922e1ebca8d914f5a34d813b2ece3d7ef9e7eec86f8ab02bf779",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 9545000000,
"index": 12,
"globalIndex": 17918527,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "99ac185207c70e005653641f06bc84d8e73f1d8192e97086274c7f3f04a58ce1",
"mainChain": true
},
{
"boxId": "f1d7da73aaf9855a33835955fb3eaae1834e1fb8af626d4f71db7afe8b816825",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 4560000000,
"index": 13,
"globalIndex": 17918528,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "74a16cfee32993a07ff20a820603ae6a96655cd99fe453d383161ee7c5eb3b58",
"mainChain": true
},
{
"boxId": "c259492ff5b0b4ed1c6d354ac7eb6ed38517bacab21ed8304ded1313ccead0a9",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1941000000,
"index": 14,
"globalIndex": 17918529,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "118d240c9c761d7122479df3ff5252fef92e23a621a828ca786c2d5c3191682a",
"mainChain": true
},
{
"boxId": "6275f1957f148a057879c76aeab3e3cd8885d586234fd7e19a045b2017b9241e",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1991000000,
"index": 15,
"globalIndex": 17918530,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b7a01eab98d658891fdbd2cc7ad0cb0d3b79502ffada18558d52c2c655a67558",
"mainChain": true
},
{
"boxId": "59fab1c7e8d7024b4c964457f2c6b22e0caa650de4db3af447df45b570098e2e",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 1341000000,
"index": 16,
"globalIndex": 17918531,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "102a040004000e204342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e904704020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010100d802d601b2a4730000d602c2a7d195938cb2db63087201730100017302d807d603e4c6b2a4730300040c3c0e11d604e4c67201040c3c0e11d60599b0b5a4d901056393c2720572027304d9010541639a8c720501c18c720502b0b57204d901053c0e11d801d6078c7205028fb27207730500b272077306007307d90105413c0e119a8c720501b28c8c72050202730800d606ade4c67201050c4c0ed901064c0ed801d6089d9c7e8c720602057205730986028c7206019972089e7208730ad607ada5d9010763c27207d608ada5d9010863c17208d609b0b57203d901093c0e11d801d60b8c7209028fb2720b730b00b2720b730c00730dd90109413c0e119a8c720901b28c8c72090202730e00ededaf7203d9010a3c0e11d807d60c8c720a01d60ddc0c1aad7204d9010d3c0e118c720d0102720c730fd60e8c720a02d60fdad9010f05d801d6119d9c99b072067205d90111414d0e998c7211018c8c721102029c73107eb1720305720fb072037311d90111413c0e119a8c721101b28c8c721102027312009972119e7211731301b2720e731400d610b2720e731500d611dc0c1a720702720c7316d612b2720e7317009594720d7318d801d6139ab2b2ad7204d901133c0e118c721302720d00731900720f95927213721095947211731aed93b272087211007213937212731b731ced937211731d93721272139592720f721095947211731eed93b27208721100720f937212731f7320ed9372117321937212720faf7206d9010a4d0ed801d60c8c720a029591720c7322d801d60ddc0c1a7207028c720a0173239594720d732493c1b2a5720d00720c73257326959172097327aea5d9010a63ed93c1720a720993c2720a720273287329",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d655df4569047c2c7f4a76579a3c8f7b213266635aacbd4c73f229960667875a",
"mainChain": true
},
{
"boxId": "98f84ebc6a32f9632187e26e918ac1e0d9b236f49f34d304f88dc6bd00a3da00",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 517000000,
"index": 17,
"globalIndex": 17918532,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0a051afb0f1128042aa22cf9a404e67d0e34bb42f9873af969601ba0a7a75242",
"mainChain": true
},
{
"boxId": "03327a30eb216b7b83fdefa790fbb82a73f0126685271eadf664a335f99d4498",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 120000000,
"index": 18,
"globalIndex": 17918533,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e5a73876046479c288fa9dfd1519b33dca7e207eab4544511bef7b2d2b3b6ea7",
"mainChain": true
},
{
"boxId": "87f37952236aeb0f012b132cf9883d01bfa72b9a17c99d810015e0fc85b9d280",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 908000000,
"index": 19,
"globalIndex": 17918534,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "102a040004000e204342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e904704020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010100d802d601b2a4730000d602c2a7d195938cb2db63087201730100017302d807d603e4c6b2a4730300040c3c0e11d604e4c67201040c3c0e11d60599b0b5a4d901056393c2720572027304d9010541639a8c720501c18c720502b0b57204d901053c0e11d801d6078c7205028fb27207730500b272077306007307d90105413c0e119a8c720501b28c8c72050202730800d606ade4c67201050c4c0ed901064c0ed801d6089d9c7e8c720602057205730986028c7206019972089e7208730ad607ada5d9010763c27207d608ada5d9010863c17208d609b0b57203d901093c0e11d801d60b8c7209028fb2720b730b00b2720b730c00730dd90109413c0e119a8c720901b28c8c72090202730e00ededaf7203d9010a3c0e11d807d60c8c720a01d60ddc0c1aad7204d9010d3c0e118c720d0102720c730fd60e8c720a02d60fdad9010f05d801d6119d9c99b072067205d90111414d0e998c7211018c8c721102029c73107eb1720305720fb072037311d90111413c0e119a8c721101b28c8c721102027312009972119e7211731301b2720e731400d610b2720e731500d611dc0c1a720702720c7316d612b2720e7317009594720d7318d801d6139ab2b2ad7204d901133c0e118c721302720d00731900720f95927213721095947211731aed93b272087211007213937212731b731ced937211731d93721272139592720f721095947211731eed93b27208721100720f937212731f7320ed9372117321937212720faf7206d9010a4d0ed801d60c8c720a029591720c7322d801d60ddc0c1a7207028c720a0173239594720d732493c1b2a5720d00720c73257326959172097327aea5d9010a63ed93c1720a720993c2720a720273287329",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "4c9eab2fcbea61ac754b8701aef51db675cdf9cf56188bf89f86f6462457b793",
"mainChain": true
},
{
"boxId": "c92ea014a6d356f60268f10bdb78d90abf3e338144c9e7b72742525c4cf2d771",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 583000000,
"index": 20,
"globalIndex": 17918535,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n val coll7 = tuple5._2\n coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n (tuple6._1, l8 - l8 % placeholder[Long](10))\n })\n val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._1\n val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n val coll14 = tuple10._2\n val l15 = {(l15: Long) =>\n val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n l17 - l17 % placeholder[Long](19)\n }(coll14(placeholder[Int](20)))\n val l16 = coll14(placeholder[Int](21))\n val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n val l18 = coll14(placeholder[Int](23))\n if (i13 != placeholder[Int](24)) {(\n val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n val l12 = tuple10._2\n if (l12 > placeholder[Long](34)) {(\n val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }\n })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) })\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a7100b2e5fdc1788ba294f675b1246d7cb15436df46846c1320ad5d994eebe6c",
"mainChain": true
},
{
"boxId": "8666f26b4d039388c0a0e66990a00f79c79839af799299d690364a6b8f98992c",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 630000000,
"index": 21,
"globalIndex": 17918536,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
"address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c302f77459718cb669ef235a8f1f9afd39670b277d592b1735f0bfac434d2cf3",
"mainChain": true
},
{
"boxId": "3973e86ecf4a77f9bbb63536e88a606a52acc81f999e654de3189099e6aabb6f",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 105000000,
"index": 22,
"globalIndex": 17918537,
"creationHeight": 772616,
"settlementHeight": 772618,
"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": "4c02f50e42f5f842dbac2200c6a0f9fa13d01cd2412ae4bc896cacfdad734ea8",
"mainChain": true
},
{
"boxId": "753f8ed71a1ae447ced96fd4ea2c834d2740ae89d3fe8782f8e51b1f4c2dd010",
"transactionId": "47ab65b2d37f5cf00b06e16e7c49ec44d7292ec09335c1a558a4876cccaf9126",
"blockId": "5f2370864b6438bbce872fc21413d362a75e675755265817ddf36205182b4bc3",
"value": 62865000000,
"index": 23,
"globalIndex": 17918538,
"creationHeight": 772616,
"settlementHeight": 772618,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "33bc67e188f4c34e72a6ac70e7062a86adc848347daef8c8c539c98832abfbdf",
"mainChain": true
}
],
"size": 16539,
"isUnconfirmed": false
}