Transaction
ID: 5ba4168279...40d5
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.14221 ERG
Tokens:
216,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
1,012.73 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1,293.7 ERG
Tokens:
Loading assets...
Outputs (86)
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.001975138 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
3,000
Unspent
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
62.80
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1,144.46 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1,144.46 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 434,841
Total coins transferred: 2,306.58 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000023 ERG
Raw Transaction Data
{
"id": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"inclusionHeight": 1332366,
"timestamp": 1723942815232,
"index": 5,
"globalIndex": 7664135,
"numConfirmations": 434841,
"inputs": [
{
"boxId": "3615ed57e440e14065becdc2bbae03539d272138cf73e8b48d212528dc526bcc",
"value": 142210000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c982156385d8c412867e3f2972822e588c39ea672d84ebb45858acbc4728279d",
"outputTransactionId": "9d45e4cabdcf7a5a982f08cdb47ca66d5854cc0df63cbef2ab2c0c42779be8b9",
"outputIndex": 0,
"outputGlobalIndex": 42203717,
"outputCreatedAt": 1332341,
"outputSettledAt": 1332343,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(61,77,106,-65,36,-120,39,27,1,109,101,-87,-13,74,9,45,48,68,77,113,-89,14,-91,30,1,-42,-90,-15,-73,98,118,115)\n10: 1\n11: 0\n12: Coll(82,-43,103,29,47,-108,82,-33,-82,-22,-125,-66,-113,-62,-1,0,-115,58,113,109,-76,-77,-112,-34,-78,119,5,-41,60,96,-108,-22)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 216000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203bd047c6170b40df8e2b558959faf1e8f0f9e77779b5a94a7dffa6c5aa1d64f8",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bd047c6170b40df8e2b558959faf1e8f0f9e77779b5a94a7dffa6c5aa1d64f8"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37666631303566316330396234343637616339343835653630313265626435303839626463333336393038343766383530646639353637663638363534323761,6572676f,63617264616e6f,39684865754c75504376524541316343426954636338366866396d4443556777644e4a723277565565777741346b78714e574c,6164647231717930326a30386767397a6a7938796661786d37356434786177726c36797267306e686337646861687576346e7939306c3839326a716e32783071653937713739716637357664333734636a323635646d6c786b32617535656c6c71797064657972,000000ebcb32896b,00000003a6643728,000000006c921839,657267,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,36626133346435626333656534373065383861356638343433653230663763663264656330623636643037383966353831373633633730613738373830363331,0000000000145465]"
},
"R6": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
},
"R7": {
"serializedValue": "049001",
"sigmaType": "SInt",
"renderedValue": "72"
}
}
},
{
"boxId": "0efc31eb27320f8b5c372d00d1f03fdbd082ff9492257ae06a6ad8adf138ffaa",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e0c91ddd05d4a399632ad41a302f90769e5cdf1eb2fab6ad056be91a7884e9fb",
"outputTransactionId": "4bfe56ceb3cfec2411ccd364e35c73f4633795dceee93939078c99399ed1aa31",
"outputIndex": 1,
"outputGlobalIndex": 42203637,
"outputCreatedAt": 1332338,
"outputSettledAt": 1332341,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07",
"sigmaType": "Coll[SByte]",
"renderedValue": "2cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07"
},
"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e20e3cd42e2fcf65e96c1f0568850cff574e23a616a2ef9cd6f2cc20aaa6615c176",
"sigmaType": "Coll[SByte]",
"renderedValue": "e3cd42e2fcf65e96c1f0568850cff574e23a616a2ef9cd6f2cc20aaa6615c176"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
}
},
{
"boxId": "a54f7ae01a90d1710a652833ff778c35bfb7fef64b613476d23e6f060ad91a37",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "e0c91ddd05d4a399632ad41a302f90769e5cdf1eb2fab6ad056be91a7884e9fb",
"outputTransactionId": "b9dce3a6cf789109a6b04f116c859d4546b9ffbf3b0c35520872980543bb19f9",
"outputIndex": 1,
"outputGlobalIndex": 42203642,
"outputCreatedAt": 1332337,
"outputSettledAt": 1332341,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3"
},
"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e20781f7dead4294280220dc962ecea03fcfcb697c3ca7d8e0f5bd17efd733f77c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "781f7dead4294280220dc962ecea03fcfcb697c3ca7d8e0f5bd17efd733f77c5"
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"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
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},
{
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"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "e0c91ddd05d4a399632ad41a302f90769e5cdf1eb2fab6ad056be91a7884e9fb",
"outputTransactionId": "c4347324e40da11af163238f2fcdd8645999c01b1bc032c2cd589b87cc49918a",
"outputIndex": 1,
"outputGlobalIndex": 42203647,
"outputCreatedAt": 1332337,
"outputSettledAt": 1332341,
"ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206c11737733bdad91e4c07ecca2df394b34c1e8e171e0436413537883fcf4d638",
"sigmaType": "Coll[SByte]",
"renderedValue": "6c11737733bdad91e4c07ecca2df394b34c1e8e171e0436413537883fcf4d638"
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"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e204cb707a8ed0789b3c58d13b150b17ec1a5d168995c2129b7ee7767d64cc18d87",
"sigmaType": "Coll[SByte]",
"renderedValue": "4cb707a8ed0789b3c58d13b150b17ec1a5d168995c2129b7ee7767d64cc18d87"
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"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
}
},
{
"boxId": "b8890c728534c71c7fa915f795d9c09a32634c7397947d4069b529f9d5671e2b",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "e0c91ddd05d4a399632ad41a302f90769e5cdf1eb2fab6ad056be91a7884e9fb",
"outputTransactionId": "d667a41d4cf8614426d96cee0e821a21bd6fee561dd5b1140ecc08956ca360fc",
"outputIndex": 1,
"outputGlobalIndex": 42203652,
"outputCreatedAt": 1332338,
"outputSettledAt": 1332341,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202ab8f5990a72893dc39fe796e0da8373827b397b1c043a0424d7426c28341a61",
"sigmaType": "Coll[SByte]",
"renderedValue": "2ab8f5990a72893dc39fe796e0da8373827b397b1c043a0424d7426c28341a61"
},
"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e2028fd71de62b9a58586642ae79597e1e69918bdf6ac3810b5594188fafdbc27d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "28fd71de62b9a58586642ae79597e1e69918bdf6ac3810b5594188fafdbc27d8"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
}
},
{
"boxId": "0481d3d2fedb30fc21e52e64c7dc24da4d29adee809a245fbcff08c28e6c8ce0",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "e0c91ddd05d4a399632ad41a302f90769e5cdf1eb2fab6ad056be91a7884e9fb",
"outputTransactionId": "84012ae37aebdf3311829c6795d912f9b46aacc69b6ea8dcf1c76229b407f225",
"outputIndex": 1,
"outputGlobalIndex": 42203657,
"outputCreatedAt": 1332337,
"outputSettledAt": 1332341,
"ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "37b104e8763eb64be8a1775a5ee95135ecc1f5e0941a02031f1b9f2c2c0ed0e4"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "35d5b39361b3e59cfef36508e963d9ee9d1fe10c40d69b59ba5fd67cd53b3f42"
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"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
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{
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"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "6ba40132a00bb1f74eb4509c2ba146c0fbf9eae63d0cf8329c5c9fb4e02c446f",
"outputTransactionId": "74240dbcd0725f971fe2a7c1279a4717332f1454c4a33bfdd31b2c8cddb2f7d2",
"outputIndex": 1,
"outputGlobalIndex": 42203674,
"outputCreatedAt": 1332339,
"outputSettledAt": 1332342,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0e20177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a",
"sigmaType": "Coll[SByte]",
"renderedValue": "177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6c7017270aeb50ac7afc12a0f1b7647de3e0623aedab843170a46f8c1dfffac5"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
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{
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"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "6ba40132a00bb1f74eb4509c2ba146c0fbf9eae63d0cf8329c5c9fb4e02c446f",
"outputTransactionId": "914285b7f147befbe5ba12607ca340e6ad8b0b90ecb6c0ec5fb7f9b065432848",
"outputIndex": 1,
"outputGlobalIndex": 42203679,
"outputCreatedAt": 1332338,
"outputSettledAt": 1332342,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a6ff2fc001a271b31891207c3588580a10475c6e9c8bc4b8a7a05edc072ba4dd",
"sigmaType": "Coll[SByte]",
"renderedValue": "a6ff2fc001a271b31891207c3588580a10475c6e9c8bc4b8a7a05edc072ba4dd"
},
"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e203ac423ba0df7350973375a496ad976d345c78e91d7d2cb916f5dde7ed62da9d3",
"sigmaType": "Coll[SByte]",
"renderedValue": "3ac423ba0df7350973375a496ad976d345c78e91d7d2cb916f5dde7ed62da9d3"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
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},
{
"boxId": "59b4a3388d7812c7fec38803ee950d2c6cdaaaddf45b27552cd9c4dd6812dd2b",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "6ba40132a00bb1f74eb4509c2ba146c0fbf9eae63d0cf8329c5c9fb4e02c446f",
"outputTransactionId": "baf7f982b8144899455ae802b2a917fcc1e313e004e903c52b44871b21659915",
"outputIndex": 1,
"outputGlobalIndex": 42203684,
"outputCreatedAt": 1332339,
"outputSettledAt": 1332342,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2050380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "50380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f"
},
"R5": {
"serializedValue": "0e206232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "6232be8b1cc10077469ae48253dd6a868c3855f8fde6cbc2c02f8070643ed1b0"
},
"R6": {
"serializedValue": "0e200c0bb828a79b34cb274bcb3f2554273ec79c341d24cb6bc001dcb10f9595bc2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c0bb828a79b34cb274bcb3f2554273ec79c341d24cb6bc001dcb10f9595bc2c"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
}
},
{
"boxId": "ce833555b1cf3c67878a24eaf090757806c83f2c7af6c977386e2e920758873f",
"value": 1012726401387,
"index": 9,
"spendingProof": "3de07a4a3c0938b3d4dc9e5abc2e25a0947929443d485a4fd58986a84776c27d00c496ea075d40cab0b45e9a5150ae1206bac4a47a0b645d241ee802d9e1d94b25c4a272c6a5933b47381ebce835bb8e9f13714d130ee05c0674ad83a5de63c5067225c9064c98fe1f0939461de498def0a26e0a91c38829c22f8c90d8200f686af592e4e019d6c27c3cfbe294f33546f52ac04c3db568d8ed71cf688baf40741e2d3009dd1960a0e323c6af4186420ff67812684d7c7ac80e68f3948d1889d70c9d7a9fdade24f66ed33b31f1927b50b3073bdd53b93545a76806f2244b55f452c7429cb064126dfe90373d7375a654c38f37089f83c9f9b251fad3f4092d77c6f2748a784b8ed79094a8d6154ea44cf6a08bed5485c580201dddef8fae785a14c428e1223a1d2d2a78d9fcbb4a2705ee1e0396cecb0a39cfb1571970eea9cd5b30aea3c53748e9c31acf117b570f912bfc767c7b28ea17c279fe208a7a120bd219844b28bdc73a3921e0bece8c34772dc189a03ad4d486ff18388ffd344c53dced56bac871782dada5b3b6fc7d00f7edb1391af401f857595bafcda316ddd86c418b1bb62d8c669e7b0ca2b61e7c1f80a8daa21fee5c23",
"outputBlockId": "6ba34d5bc3ee470e88a5f8443e20f7cf2dec0b66d0789f581763c70a78780631",
"outputTransactionId": "7ff105f1c09b4467ac9485e6012ebd5089bdc33690847f850df9567f6865427a",
"outputIndex": 0,
"outputGlobalIndex": 42202827,
"outputCreatedAt": 1332323,
"outputSettledAt": 1332325,
"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f676164647231717930326a30386767397a6a7938796661786d37356434786177726c36797267306e686337646861687576346e7939306c3839326a716e32783071653937713739716637357664333734636a323635646d6c786b32617535656c6c717970646579720a313832313531333738350b31353637363438373436343339684865754c75504376524541316343426954636338366866396d4443556777644e4a723277565565777741346b78714e574c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,6164647231717930326a30386767397a6a7938796661786d37356434786177726c36797267306e686337646861687576346e7939306c3839326a716e32783071653937713739716637357664333734636a323635646d6c786b32617535656c6c71797064657972,31383231353133373835,3135363736343837343634,39684865754c75504376524541316343426954636338366866396d4443556777644e4a723277565565777741346b78714e574c]"
}
}
},
{
"boxId": "8ecee2a7f4ecd00f7773fca7464a32d5454c90b4910b32c524a9ad8068534cac",
"value": 1293699880876,
"index": 10,
"spendingProof": "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",
"outputBlockId": "fbab37370ca6bbefffb8268b4ace702f6f3035efc5131069ef35d0e464132e52",
"outputTransactionId": "03000697852f0304af5577caa8f98cbff6856e4dab7dc305e93d754f2d768e17",
"outputIndex": 65,
"outputGlobalIndex": 42181678,
"outputCreatedAt": 1331469,
"outputSettledAt": 1331472,
"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
"assets": [
{
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"index": 0,
"amount": 185558454,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
},
{
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"index": 2,
"amount": 947907179,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 40984603449,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 3441679,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 634229,
"name": "rsBTC",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 5,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 7,
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"name": "maff",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 14648437500000,
"name": "Mint",
"decimals": 8,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
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"value": 98900000,
"index": 0,
"outputBlockId": "9af1ae0e8517d4b21cea6eefcd2a22da538295265242fca54e1925ca99934901",
"outputTransactionId": "cc8dcf1ac1668def5367a0c1dc93af8eaf464ee056c5f0b365f3271e8e346120",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023f8413bfc4337f638d5cb4ed8061a19a585b7f8cc998e833da7bcce233259af1,03e463d7f39be38581653880cc0012786d1a9dca392915677e6752cc9340fee658,02a54073ef61346116d1b823443425bf5ac2598446e492373be2f3051538c6a970,03d243f910e893cbe9762c7d99253240e07656ffbc4c2df4c8cefdb929c138fdfe,02ccee7bdf8fa0177a040f4e2c38229a759c9b4868c7385c096a6e596631a15248,02a8ad3349dc0c6cd36d94665350a728feb8c0d0736220ff9526a86a1ff34a3ca8,03f5d16bbd6e604a5cd9dc39389613cd793a1410c7355532a6863ebb54ffda2786,037bd82a1cea0b7ffabd76beddbf33d0095acfe5a43d9a36482d141dd982102538,0356f30114e4a2ded498e2b75ea5f4e97100f94e137c8958446932f08de289cb92,0263470e93f98af66bab6a984e305374a4ca822d70364cc50289c3921d657b052d]"
},
"R5": {
"serializedValue": "10020c0e",
"sigmaType": "Coll[SInt]",
"renderedValue": "[6,7]"
}
}
}
],
"outputs": [
{
"boxId": "634f527a6f58d9c08ef52f1de178793c5137c15377f7e9b3341ef787d27a7839",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 0,
"globalIndex": 42204006,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ea17a62c608a9475a30f1ba345b82c2dd2c799d27dc4d4c9ba84bf7f282de3d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "ea17a62c608a9475a30f1ba345b82c2dd2c799d27dc4d4c9ba84bf7f282de3d5"
}
},
"spentTransactionId": "5588b3b9af73097cebd58700909d09be1d7fbe08dab157a3fda8cf85e23f43e6",
"mainChain": true
},
{
"boxId": "694a3b4b9c80e2a48d3ae38507cc49fe4c3b7b1a382416312bac1208147fc372",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 1,
"globalIndex": 42204007,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20059e38729e1d06a02358f46a27bde7d5c77cfe1e8af9922a91b541386c009af2",
"sigmaType": "Coll[SByte]",
"renderedValue": "059e38729e1d06a02358f46a27bde7d5c77cfe1e8af9922a91b541386c009af2"
}
},
"spentTransactionId": "01592fccc1cc8b7af767cf664b2d518ecbeaab06eef38702ecbd9d848bceb490",
"mainChain": true
},
{
"boxId": "f5ee4aecd356d44ab839a8cb6426dfa33b9c989372fc8ddc30199c5029516054",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 2,
"globalIndex": 42204008,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ddcf399a712ddfea9b6a311d602f88c29475b115e7f995d432459c44f098c035",
"sigmaType": "Coll[SByte]",
"renderedValue": "ddcf399a712ddfea9b6a311d602f88c29475b115e7f995d432459c44f098c035"
}
},
"spentTransactionId": "4c4473673f75881314e35105902814727ff3cd258186d37d3895735283b76186",
"mainChain": true
},
{
"boxId": "befc2f1dfb92a7e76c593c34f8e4d534cad7155634dfc55318ed9688de1d9b1a",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 3,
"globalIndex": 42204009,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203766d9edd8ed272e11c762e2bbc5b1a50aa0b7c38ca8f8aff280f3179fd19f8b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3766d9edd8ed272e11c762e2bbc5b1a50aa0b7c38ca8f8aff280f3179fd19f8b"
}
},
"spentTransactionId": "a183fa2f4c641b0b5f4976019d606cc2637b0102ba2fbe4a3471eeee2d4aab82",
"mainChain": true
},
{
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"value": 1975138,
"index": 4,
"globalIndex": 42204010,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20312062e9a7d081ab8a3206aa189cf386266791a91ccd4146a89c89d4828a4c79",
"sigmaType": "Coll[SByte]",
"renderedValue": "312062e9a7d081ab8a3206aa189cf386266791a91ccd4146a89c89d4828a4c79"
}
},
"spentTransactionId": "5014a724e65183023db5b389788d4923cc846c2c0c0382908e761c2f75bd5bdd",
"mainChain": true
},
{
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"index": 5,
"globalIndex": 42204011,
"creationHeight": 1332358,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200aecf82664d866e086742f94faf57024b231259f33647118d54db247e4e7d6ff",
"sigmaType": "Coll[SByte]",
"renderedValue": "0aecf82664d866e086742f94faf57024b231259f33647118d54db247e4e7d6ff"
}
},
"spentTransactionId": "ef3fb0b6a5c82a23a3748ff68fb58b5cc7815002a489b231f55b3a164f177504",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 6,
"globalIndex": 42204012,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206696280d3218decd0ba11a5a954542de86db8915e6ed6210b02ad6edb5d15ff5",
"sigmaType": "Coll[SByte]",
"renderedValue": "6696280d3218decd0ba11a5a954542de86db8915e6ed6210b02ad6edb5d15ff5"
}
},
"spentTransactionId": "fc6a614cec9018256992f6e66f14805d4dff2e561242daa76101a3fdbde75413",
"mainChain": true
},
{
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"index": 7,
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"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206f3ed92c3f867beec54f5dff6dd8682854eefb9eed2fa9c22f4d2ec5d8fdd050",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f3ed92c3f867beec54f5dff6dd8682854eefb9eed2fa9c22f4d2ec5d8fdd050"
}
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"spentTransactionId": "c10e42c90e126c7f19742b6ecab0735283e30f571a9a78166431343ac8fb6477",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20742aab33ec1d5b1e29d0d76c31b75d93e60ab3a71f978bcf14e369c2134b3e4b",
"sigmaType": "Coll[SByte]",
"renderedValue": "742aab33ec1d5b1e29d0d76c31b75d93e60ab3a71f978bcf14e369c2134b3e4b"
}
},
"spentTransactionId": "ee09a0d2fb9b242e66a2cc5917f07cb08d88e871b0e513a804e084b57622a628",
"mainChain": true
},
{
"boxId": "1ee8bece309616ac6cadc8908a049408f18df914675b5460f497c14f2a38abe5",
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"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
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"index": 9,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200088840f331eedf07d309096c075208670801d18d730ba3fb2bb341bd5c094ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "0088840f331eedf07d309096c075208670801d18d730ba3fb2bb341bd5c094ca"
}
},
"spentTransactionId": "8d50a757c9f93c90cd5c77c811cf2eee4119b92090041ae1b1f96df20811f714",
"mainChain": true
},
{
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"index": 10,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20054042ce011e75049936727f559a9de0bd84d0193eba8fbe2c7cc68b67096e2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "054042ce011e75049936727f559a9de0bd84d0193eba8fbe2c7cc68b67096e2a"
}
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"spentTransactionId": "f163f704c130d69bf75469daeba080a9dfd7ddcec542ffa7341538172fc967a9",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f09d0ef1a70f975be6fd96e4d8734b450d9c3b8aed185bdddc44784106970308",
"sigmaType": "Coll[SByte]",
"renderedValue": "f09d0ef1a70f975be6fd96e4d8734b450d9c3b8aed185bdddc44784106970308"
}
},
"spentTransactionId": "f44b93a1c583b25b150b689e72e1583e95939a858e86746c94aa0096e92bc63a",
"mainChain": true
},
{
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"index": 12,
"globalIndex": 42204018,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20327cd19bdc7934e00a67eca4f126b5246416f5d966b94af6c5eb2980e866d858",
"sigmaType": "Coll[SByte]",
"renderedValue": "327cd19bdc7934e00a67eca4f126b5246416f5d966b94af6c5eb2980e866d858"
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"spentTransactionId": "e8220654192855587c3a24555224bb1b3c4b37fbf96f458a475a5bde35f568e5",
"mainChain": true
},
{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2099eaac5fcdb8ff2a9b4503b43964a5cb81471aae52242facbfef1f87b11457c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "99eaac5fcdb8ff2a9b4503b43964a5cb81471aae52242facbfef1f87b11457c0"
}
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"spentTransactionId": "5544f5a773ba049142ca79c60d4503cdbe1b9e8a2fb73a7bcd7fbb3acd238214",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cdb686f2cebb91fbf3ff3eafa7764f08a9a1d4ac4a84cdb637e143915c11c715",
"sigmaType": "Coll[SByte]",
"renderedValue": "cdb686f2cebb91fbf3ff3eafa7764f08a9a1d4ac4a84cdb637e143915c11c715"
}
},
"spentTransactionId": "1b350bc945671dd20c40c98c4dad0f8e07e1498dedc332943fd388436355add2",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"value": 1975138,
"index": 15,
"globalIndex": 42204021,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
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"R4": {
"serializedValue": "0e207fdb6e568e0adf674fa20a687c4e9147905bb6ad6f63c3777ccd227b6201e84b",
"sigmaType": "Coll[SByte]",
"renderedValue": "7fdb6e568e0adf674fa20a687c4e9147905bb6ad6f63c3777ccd227b6201e84b"
}
},
"spentTransactionId": "f905b9adf3462ea040122cb59a3bc80e050a67bd80e855bd17e883fd02bd3e34",
"mainChain": true
},
{
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"index": 16,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20315bbebfb5d1aaeca6ea771cf36785a38061f503ec727eab581d3c0d4505d078",
"sigmaType": "Coll[SByte]",
"renderedValue": "315bbebfb5d1aaeca6ea771cf36785a38061f503ec727eab581d3c0d4505d078"
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},
"spentTransactionId": "8049435c81f3d7053ea0337710ab66bd85668432733ed154cf984a9b216d1363",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bfc372a6d2ac00cc08dbe822ee10e55a15ac224b15255f6fd884a488ed515220",
"sigmaType": "Coll[SByte]",
"renderedValue": "bfc372a6d2ac00cc08dbe822ee10e55a15ac224b15255f6fd884a488ed515220"
}
},
"spentTransactionId": "e707ae0f0b0423aae69f14e1b3a66600114436a7f781403e31d93b5eec67a957",
"mainChain": true
},
{
"boxId": "061d63d8f54a1ed461346913a0f2d23ebd755a3fca1665a853c5726b34be7806",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 18,
"globalIndex": 42204024,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f4e63793560cb0c644d8d30cf9260a153e509bbbcb8e1885e66208e23c8f7d8b",
"sigmaType": "Coll[SByte]",
"renderedValue": "f4e63793560cb0c644d8d30cf9260a153e509bbbcb8e1885e66208e23c8f7d8b"
}
},
"spentTransactionId": "6ca89c67c7e1441669b58e9800ce2a02a60ce1417bd8650364b4f43ed6f2b1a7",
"mainChain": true
},
{
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"index": 19,
"globalIndex": 42204025,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ce7dcc00b7759ccf97252cd5c994b2415a6b97c2580a5244bc9910ea34336a96",
"sigmaType": "Coll[SByte]",
"renderedValue": "ce7dcc00b7759ccf97252cd5c994b2415a6b97c2580a5244bc9910ea34336a96"
}
},
"spentTransactionId": "ac3ba384e64d2dc29ecccb03b1b38fb6caffd3c8ad959e6679065a6ccc9250cb",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d88919c82ed0b571183096f7682c0291dda9849369c7de3993d4d60ae9268444",
"sigmaType": "Coll[SByte]",
"renderedValue": "d88919c82ed0b571183096f7682c0291dda9849369c7de3993d4d60ae9268444"
}
},
"spentTransactionId": "719a86774c45b81cd5bd673b52de24de0104e6fbce4999c3bf4bbf60be2402e2",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"value": 1975138,
"index": 21,
"globalIndex": 42204027,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bb5f676dea40d456552f6cbdb963e0426387c7c0c64c7512b5d35418f3759d0d",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb5f676dea40d456552f6cbdb963e0426387c7c0c64c7512b5d35418f3759d0d"
}
},
"spentTransactionId": "c4a313cf5e18d692d1cadee99d01cad1d4576106afcd6782d4120ff44a3f1db9",
"mainChain": true
},
{
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"index": 22,
"globalIndex": 42204028,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd0f1e6292334df495ceb35b085ac3496d621f74b744b3865f99e0c013ea68e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd0f1e6292334df495ceb35b085ac3496d621f74b744b3865f99e0c013ea68e6"
}
},
"spentTransactionId": "099c1c30d9d0eb77572eae46c3256e44f0b6d41b9510d2d85b82cc4259444355",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205bef0fc79b73761ed88d6486fc9a65075494418f4efa85859366d1bda286b17c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5bef0fc79b73761ed88d6486fc9a65075494418f4efa85859366d1bda286b17c"
}
},
"spentTransactionId": "3965282eb1c8147e870660138127e92dbbe5d78f107600d0be00175162506532",
"mainChain": true
},
{
"boxId": "9decdf2564da6f11551d9d7200396c494f3f826cbbcef82a977d60f6cfd5636e",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 24,
"globalIndex": 42204030,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203684a6fc79378d5207e1dc5bc3f399d2367031b79a2fc76f8d0bfe2082c71be7",
"sigmaType": "Coll[SByte]",
"renderedValue": "3684a6fc79378d5207e1dc5bc3f399d2367031b79a2fc76f8d0bfe2082c71be7"
}
},
"spentTransactionId": "d40e5d247ae8ed7d36b27d62ae4db64b15d1694f7bc01263f08afeb0f04e8fb6",
"mainChain": true
},
{
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"index": 25,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ca2e79041d6386afb8ec6d6f74e579821cd3059f8c76db4c562c270ff1c9c698",
"sigmaType": "Coll[SByte]",
"renderedValue": "ca2e79041d6386afb8ec6d6f74e579821cd3059f8c76db4c562c270ff1c9c698"
}
},
"spentTransactionId": "813e7f059fee3f497febe6093a9753c88c9fce81fb3dd249c171b40c07b9f406",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dea05e9796b8e58d3a7ab92de7463d5a5d365171ffa1b581249e5c55f187f3dc",
"sigmaType": "Coll[SByte]",
"renderedValue": "dea05e9796b8e58d3a7ab92de7463d5a5d365171ffa1b581249e5c55f187f3dc"
}
},
"spentTransactionId": "78a57c13bc201d8281a73063e7f23f9f94d8d413442a884611fb68964de4ee1d",
"mainChain": true
},
{
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"value": 1975138,
"index": 27,
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"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2093d73a59f111c37a6e9853fb85ba075264f330dc3b416d2778b7939e3bb6591e",
"sigmaType": "Coll[SByte]",
"renderedValue": "93d73a59f111c37a6e9853fb85ba075264f330dc3b416d2778b7939e3bb6591e"
}
},
"spentTransactionId": "e1d9ce48d4b24e5e722660d4e8920453f37a909e11e6c14eb9f214489974438b",
"mainChain": true
},
{
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"index": 28,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20db8e71a8aa08bc0c7630f53d6189aff5e2c5e6c97d794b7617c0e41701a26c70",
"sigmaType": "Coll[SByte]",
"renderedValue": "db8e71a8aa08bc0c7630f53d6189aff5e2c5e6c97d794b7617c0e41701a26c70"
}
},
"spentTransactionId": "a0e74e1de2d73012fd103875d45085ee5922ca9fae1022fedab97df8926770a4",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205de7c58e90454fe60345df0afa28bcdc61a34e112d4e541d5b58da6a89d45ea2",
"sigmaType": "Coll[SByte]",
"renderedValue": "5de7c58e90454fe60345df0afa28bcdc61a34e112d4e541d5b58da6a89d45ea2"
}
},
"spentTransactionId": "30b30a29d1f485de92ba4fb569ac09bfa175627a14a6cb9676e9296b086e6127",
"mainChain": true
},
{
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"index": 30,
"globalIndex": 42204036,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204e6060b5ef0c87bb71f0f57f7967da51ffbe7fe4fa3f40c3a3ce3e89fe7f7916",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6060b5ef0c87bb71f0f57f7967da51ffbe7fe4fa3f40c3a3ce3e89fe7f7916"
}
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"spentTransactionId": "b55b5b2c7ce49ed7fe6844cff232784f65e87def1d482e006f448505ecc8a7de",
"mainChain": true
},
{
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"index": 31,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e8e898d814c6fa197d363a3b86c9dc83cf7da0653b34053ba9b7ad4a9915d3a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e8e898d814c6fa197d363a3b86c9dc83cf7da0653b34053ba9b7ad4a9915d3a"
}
},
"spentTransactionId": "e9c8e7455eab346196457abd3fe46978e619dbf13ce18837e451f5240ae2a53c",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201d1209681c63b24a4169589a7a9460a0adcc72ccd81bfe3b06f2198fec7b7a97",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d1209681c63b24a4169589a7a9460a0adcc72ccd81bfe3b06f2198fec7b7a97"
}
},
"spentTransactionId": "99f5101083e54befd3c976ecf03bb427b350d6f3234e7774a5a37ddf8ad066b2",
"mainChain": true
},
{
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"index": 33,
"globalIndex": 42204039,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2093d22cfec531423b8d7059ad6b0eacc4bcf10b2f852adbb94726bfd69e1adea9",
"sigmaType": "Coll[SByte]",
"renderedValue": "93d22cfec531423b8d7059ad6b0eacc4bcf10b2f852adbb94726bfd69e1adea9"
}
},
"spentTransactionId": "64f64a03aa171a71b165c4e11d118faa425e830834c49b70fa06355f561795eb",
"mainChain": true
},
{
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"index": 34,
"globalIndex": 42204040,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fbb2edec8b218ca0462a0347473c366a7f102e061f5a4785e8ed701c297e07ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "fbb2edec8b218ca0462a0347473c366a7f102e061f5a4785e8ed701c297e07ec"
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},
"spentTransactionId": "8c7412abec576306694e220d80cd6f5f1abfcd54cd0f160c1cdc0ed3511072dc",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077e9bd8086ce0a6f1af17d9c01e053d253c45d7f40179d47de2c0a26754d4cf5",
"sigmaType": "Coll[SByte]",
"renderedValue": "77e9bd8086ce0a6f1af17d9c01e053d253c45d7f40179d47de2c0a26754d4cf5"
}
},
"spentTransactionId": "9e28c01a481965364b00de1d2bb0a18463aceef1585ac7282bbc8f444bde6391",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"index": 36,
"globalIndex": 42204042,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205b2f71b4f694115bd565d05668bb6537d47eb28c40961c5afcc6486771ee5ac6",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b2f71b4f694115bd565d05668bb6537d47eb28c40961c5afcc6486771ee5ac6"
}
},
"spentTransactionId": "2d92ea1ff50f2e651f1253128dde199a993e1622e9aaf3c19ddc0b4f10cb9c65",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d289df8aee844cdc1a6b7c84efe280a8d7c51dc6412c3e36b64d4ee71f4cb916",
"sigmaType": "Coll[SByte]",
"renderedValue": "d289df8aee844cdc1a6b7c84efe280a8d7c51dc6412c3e36b64d4ee71f4cb916"
}
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"spentTransactionId": "82b8d3a8aead24ec39d76ded5e35e1548039935f8a267b744e0b49bb6b4b8792",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20309befbcdc22b7c549e1802f4a8e6036a64873a5c70395419f96cbd4b3b95ef5",
"sigmaType": "Coll[SByte]",
"renderedValue": "309befbcdc22b7c549e1802f4a8e6036a64873a5c70395419f96cbd4b3b95ef5"
}
},
"spentTransactionId": "be374e29c24f7c3450cd8a42aa4dae03c0e6a20b4015dc88cb7a8e2491287bba",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
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"index": 39,
"globalIndex": 42204045,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201a0f3106b93d5720b1d9e423e0a5f69e293bc01f673d28fac737975811322b26",
"sigmaType": "Coll[SByte]",
"renderedValue": "1a0f3106b93d5720b1d9e423e0a5f69e293bc01f673d28fac737975811322b26"
}
},
"spentTransactionId": "a19469ece160c75c529001b58dc2323d0048fb6f37f1c5e893aec5e8f818a69a",
"mainChain": true
},
{
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"index": 40,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200b0ac5850cdf0b1164e9d59bb5db54d83d9b6bb73442822aeb7542862710017a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0b0ac5850cdf0b1164e9d59bb5db54d83d9b6bb73442822aeb7542862710017a"
}
},
"spentTransactionId": "daa48dc7586a510cc293e8f2f9882635353fdbb01755cf686a84852827e90dba",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2050578332ebb8fb95c5b1a62410257c9982a0bd25d93b1ae6787ea95bb94e9757",
"sigmaType": "Coll[SByte]",
"renderedValue": "50578332ebb8fb95c5b1a62410257c9982a0bd25d93b1ae6787ea95bb94e9757"
}
},
"spentTransactionId": "20f5396728733a14cc5d6201ede4e66191d58ab25bd6fa490006af94f5a766d9",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"index": 42,
"globalIndex": 42204048,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2038813672b3e4ea3dd9e1592542d0997d2b56abeb47acadcfc09d3aa8d62a496e",
"sigmaType": "Coll[SByte]",
"renderedValue": "38813672b3e4ea3dd9e1592542d0997d2b56abeb47acadcfc09d3aa8d62a496e"
}
},
"spentTransactionId": "abeeb0a2fdb191f256f91cf3019207a4510daa85daad577aa7a72fc4da16be37",
"mainChain": true
},
{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f881c6baffd9bd4b1fb7241b8cf8cab0058ccc89f66a873ec64c8d1a0e0596bd",
"sigmaType": "Coll[SByte]",
"renderedValue": "f881c6baffd9bd4b1fb7241b8cf8cab0058ccc89f66a873ec64c8d1a0e0596bd"
}
},
"spentTransactionId": "c233088a3b03bfe4bbc6406f0c75524c4af7a1872b503c6441c6a263a4ed8448",
"mainChain": true
},
{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2088708d05bd78d4d8b4195f210903fc8bccb2eacd2c3bba6c8c7302ddba29ca92",
"sigmaType": "Coll[SByte]",
"renderedValue": "88708d05bd78d4d8b4195f210903fc8bccb2eacd2c3bba6c8c7302ddba29ca92"
}
},
"spentTransactionId": "248ab9ec7b53241b39cebfee43b5fa85117b905cd1aae0a6fb7ce0070e751fb9",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
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"index": 45,
"globalIndex": 42204051,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cc0718bb04b077042722255a5bc711370613aedd2983b214b83d562f630d00d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc0718bb04b077042722255a5bc711370613aedd2983b214b83d562f630d00d0"
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},
"spentTransactionId": "359c8ca9967091b680375aceced7b30a595da05287d73a25e29889714d0c82f7",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f3996e1ea0db8fb08ad54adc396da83dd158c571d60f8241f480afbc2a606617",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3996e1ea0db8fb08ad54adc396da83dd158c571d60f8241f480afbc2a606617"
}
},
"spentTransactionId": "131fb1fceb6edcc46dd7caf0ba24e172b514db51329de55dcb541e4897287309",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2094dae57d9bf0d20e561362750c29f17d6b298544b16614a8962be541e2061865",
"sigmaType": "Coll[SByte]",
"renderedValue": "94dae57d9bf0d20e561362750c29f17d6b298544b16614a8962be541e2061865"
}
},
"spentTransactionId": "947ef0f4a2285efc9e95b93511b286ecf56e14151a0641df7fb3b69f0e5ea5ad",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
"value": 1975138,
"index": 48,
"globalIndex": 42204054,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20333810ee13abfd784cfce3cb6e4fc9d2eb6e75d4884937892de6fbbc8d3a7ce6",
"sigmaType": "Coll[SByte]",
"renderedValue": "333810ee13abfd784cfce3cb6e4fc9d2eb6e75d4884937892de6fbbc8d3a7ce6"
}
},
"spentTransactionId": "334e77913cd153c6d4d3dd66c4260f1f23779edf799e410d007b49e3c4255568",
"mainChain": true
},
{
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"index": 49,
"globalIndex": 42204055,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e6f0c389db52892b85e0237eac064e559dccab3e01b138ac0877e6f0a03808b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "e6f0c389db52892b85e0237eac064e559dccab3e01b138ac0877e6f0a03808b2"
}
},
"spentTransactionId": "ede5bccb86fdffd11eaffc84c8b742de761bdc0873ee85f8da8397eefb7ca3e5",
"mainChain": true
},
{
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"index": 50,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2063bf8addd959d401433e01047e12df36c663bc58fe1f671a0397cc7b3e6d4e3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "63bf8addd959d401433e01047e12df36c663bc58fe1f671a0397cc7b3e6d4e3e"
}
},
"spentTransactionId": "abe5d61128290971568a6c4d6872164e57f6736e946680bcc1ad317ef5bd0cb3",
"mainChain": true
},
{
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"index": 51,
"globalIndex": 42204057,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201fcbc0d9b62827ee208e42c618022a606983d1129f44ef62f28c3a48ecef60d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "1fcbc0d9b62827ee208e42c618022a606983d1129f44ef62f28c3a48ecef60d7"
}
},
"spentTransactionId": "d56c20d57823d36c41daf7958c64018b3f5c7a3dc6680d8c2b18f8cde7dd8db8",
"mainChain": true
},
{
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"index": 52,
"globalIndex": 42204058,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20916444e3aa3cbc0f76a394fb7596c5a5799ea78cfab775a158a5f436dbe03691",
"sigmaType": "Coll[SByte]",
"renderedValue": "916444e3aa3cbc0f76a394fb7596c5a5799ea78cfab775a158a5f436dbe03691"
}
},
"spentTransactionId": "e5249830c0cade5ebe7d228ea3018403d798d2acd5de3b9226c8b167ed1425d9",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2046c266a044e977c0ab839f301dca45f4f35c3aba25965713523ce1f6df72b193",
"sigmaType": "Coll[SByte]",
"renderedValue": "46c266a044e977c0ab839f301dca45f4f35c3aba25965713523ce1f6df72b193"
}
},
"spentTransactionId": "8772157870a06ad98ee5826cb59620e0e903d46ebfb375e9553b8f5c02ca59a1",
"mainChain": true
},
{
"boxId": "8be8e12aa82556e8e097086a100a1b6e0d40b2c47cfe761fbedd0d8744eadac9",
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"index": 54,
"globalIndex": 42204060,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203b9aa597064dc8b0c58f7a9e1463269e80f4c69e49e133c437ef9d70e19fdf53",
"sigmaType": "Coll[SByte]",
"renderedValue": "3b9aa597064dc8b0c58f7a9e1463269e80f4c69e49e133c437ef9d70e19fdf53"
}
},
"spentTransactionId": "eca943e56aaa87a00e286280bda62aaea04cb9369ea8caac6a643afc88233c05",
"mainChain": true
},
{
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"index": 55,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20793848c21ce3e6a7bdfa8613f66f9f99879304a3a4b7fc233228fa959c113fd8",
"sigmaType": "Coll[SByte]",
"renderedValue": "793848c21ce3e6a7bdfa8613f66f9f99879304a3a4b7fc233228fa959c113fd8"
}
},
"spentTransactionId": "8be5237013bbc940669d1ca6c789b4c3ea5d93398bfc30b95793c1ac0843811c",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20581d31c3561579b1d2de06186317bdf2fd57f626c274c1e3a83ff503257d400f",
"sigmaType": "Coll[SByte]",
"renderedValue": "581d31c3561579b1d2de06186317bdf2fd57f626c274c1e3a83ff503257d400f"
}
},
"spentTransactionId": "aed59406eb55f9cb2f83811b78861357202a6009c84952cae725397a9ca2ce21",
"mainChain": true
},
{
"boxId": "3b578cecbe84d65a69195ee152f33978f2d146077a43c0acd9ed3a9c9f9b5ce1",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"index": 57,
"globalIndex": 42204063,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206688602460b5e65381f6d3bd60ebe459b5bdc6ec3c1d4824b37a6edba227f400",
"sigmaType": "Coll[SByte]",
"renderedValue": "6688602460b5e65381f6d3bd60ebe459b5bdc6ec3c1d4824b37a6edba227f400"
}
},
"spentTransactionId": "868c307efbc2cd55bcbf9cda1944ec4cf641d8b747daade2157c3319688925e7",
"mainChain": true
},
{
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"index": 58,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fe93b88cc5fe9d945f31341803b9f739284b497165296efe23b50745cb787dd7",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe93b88cc5fe9d945f31341803b9f739284b497165296efe23b50745cb787dd7"
}
},
"spentTransactionId": "c495f45bd9549a5f9278cb65981e54a5202339e46440b1031cc626b5169ccfbb",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f76916ee079267eac485fc60b0c6461e4063ff7e97417919cc24f96b0791ec9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "f76916ee079267eac485fc60b0c6461e4063ff7e97417919cc24f96b0791ec9d"
}
},
"spentTransactionId": "715393e1f4eddb4e424401399e18ae95e8bd194829160b7095b93987e60cbae9",
"mainChain": true
},
{
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"index": 60,
"globalIndex": 42204066,
"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206e8d28288d55d4f3fa3da47932955e12a9f7fd9c5bb47668d706db3cccb7e28a",
"sigmaType": "Coll[SByte]",
"renderedValue": "6e8d28288d55d4f3fa3da47932955e12a9f7fd9c5bb47668d706db3cccb7e28a"
}
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"spentTransactionId": "cf105da9e3c019e66f4d7c37015c442483e18b1ab251d95ccb24a4ff887fdd50",
"mainChain": true
},
{
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"index": 61,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fd07a0871486b3b5b9070e422444a452704e540f148a8f86b0a7afa13630b373",
"sigmaType": "Coll[SByte]",
"renderedValue": "fd07a0871486b3b5b9070e422444a452704e540f148a8f86b0a7afa13630b373"
}
},
"spentTransactionId": "773e102de2f364dcc4d61ac94958f1b136c3a9faaf78ac120fb86cb9362c2791",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c6c832a5da7aac3925ec870c16cb94156419e3b579b12252a94801d8bf365647",
"sigmaType": "Coll[SByte]",
"renderedValue": "c6c832a5da7aac3925ec870c16cb94156419e3b579b12252a94801d8bf365647"
}
},
"spentTransactionId": "4bc01590ae84cfd792abcdbd1cce88f5530ef8c8e68ab878007c761e9fc339fc",
"mainChain": true
},
{
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"index": 63,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
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"serializedValue": "0e2009a22d2ec41eda22d4eb20e2591830b2fe3c9a53cb8df64a9da93e6699ffb306",
"sigmaType": "Coll[SByte]",
"renderedValue": "09a22d2ec41eda22d4eb20e2591830b2fe3c9a53cb8df64a9da93e6699ffb306"
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},
"spentTransactionId": "7b1cb5c41c10d38a212e5ee3a051010e077f1d0657eb0ecda6fea815df4442d8",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d7b7e5159efc9cd6a29c9ca4bb017b52bfdc26c0ebbbba8806a753e04849e2f5",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b7e5159efc9cd6a29c9ca4bb017b52bfdc26c0ebbbba8806a753e04849e2f5"
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},
"spentTransactionId": "1738e874f118a6d046eb253bcd2f7b46c94402239ef68210f4000baad0cae201",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2089f19bc1bba86b333f5ecfb949e877cfed7b0726b71516bcd6d6fafeb833f9e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "89f19bc1bba86b333f5ecfb949e877cfed7b0726b71516bcd6d6fafeb833f9e0"
}
},
"spentTransactionId": "3d6b9bbc9c3774e320506369dcaa023524d05634aac957df0224c5cb578dda55",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
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"index": 66,
"globalIndex": 42204072,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "3aa7ed9864521180387dcc059e46225ada5116a86758bc2b958873bbd7d19366"
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},
"spentTransactionId": "3de4c6a5694b625e3c5be32934e13670f7077146c5c6db37b36b5031c8222a4e",
"mainChain": true
},
{
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208fec0a9930a4a1c38469bd87d5b2f353d2b84570664f5c8f7b2a848d9a419cac",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fec0a9930a4a1c38469bd87d5b2f353d2b84570664f5c8f7b2a848d9a419cac"
}
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"spentTransactionId": "2c6f5b40247b38badc4b8c03af3fc76e2b2b30b44ccec36ed7e40651d88951f6",
"mainChain": true
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{
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"index": 68,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202e044c831f37e35eb02d07a35879a58b35a5c890272e25f0db77fe0fb9e26277",
"sigmaType": "Coll[SByte]",
"renderedValue": "2e044c831f37e35eb02d07a35879a58b35a5c890272e25f0db77fe0fb9e26277"
}
},
"spentTransactionId": "be3cec63ebc7005d1661076a0defedca9d7a8f7090d825dfbf508a51a6c27c69",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"index": 69,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0e2019b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
}
},
"spentTransactionId": "56344b2e1bb0690a5dd44bb9b654b17b27022199e3a9704fa14a7a20e2e93d19",
"mainChain": true
},
{
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"index": 70,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209d57b0fed60a6f7c06e57cdf6c8fe88f5df4f44dbd41d5f43ed4b971aa13c017",
"sigmaType": "Coll[SByte]",
"renderedValue": "9d57b0fed60a6f7c06e57cdf6c8fe88f5df4f44dbd41d5f43ed4b971aa13c017"
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"spentTransactionId": "646b78dca38107502f19a0078821fbab22a1e6f8e84ab94ad6fc632a7ce88f3f",
"mainChain": true
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{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209174547cba3dc3ae67d1fb84782e23ee3696f92f34e2ebf7dd2eef8efa4d7400",
"sigmaType": "Coll[SByte]",
"renderedValue": "9174547cba3dc3ae67d1fb84782e23ee3696f92f34e2ebf7dd2eef8efa4d7400"
}
},
"spentTransactionId": "09236fd8075ae21270fd42b384db8bd5d7ab46bec3d222958139a4826f859c6d",
"mainChain": true
},
{
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"blockId": "c08dce5c0a3991151594ebdc34db5b14b69230abaa8a63793731b911a107101d",
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"index": 72,
"globalIndex": 42204078,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07",
"sigmaType": "Coll[SByte]",
"renderedValue": "2cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07"
}
},
"spentTransactionId": "7c19d20c693fd468d617963b555b6f0b034d084c354e5dfa53e1d9d3fd1d38a1",
"mainChain": true
},
{
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"index": 73,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3"
}
},
"spentTransactionId": "179cb5957a85a55f3bd176b08d7a316fca1770c00913b9e23bed3c6b63fa2441",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206c11737733bdad91e4c07ecca2df394b34c1e8e171e0436413537883fcf4d638",
"sigmaType": "Coll[SByte]",
"renderedValue": "6c11737733bdad91e4c07ecca2df394b34c1e8e171e0436413537883fcf4d638"
}
},
"spentTransactionId": "131c7c27fed45bfd9e30a5d4fd37c2a4a8b44ed0de8c32cb723839ce12c339e8",
"mainChain": true
},
{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"value": 2000000,
"index": 75,
"globalIndex": 42204081,
"creationHeight": 1332358,
"settlementHeight": 1332366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202ab8f5990a72893dc39fe796e0da8373827b397b1c043a0424d7426c28341a61",
"sigmaType": "Coll[SByte]",
"renderedValue": "2ab8f5990a72893dc39fe796e0da8373827b397b1c043a0424d7426c28341a61"
}
},
"spentTransactionId": "89f80dab3554ade50683d674c968c30c34f2e4478a7da46a4dc5e991caf7e43e",
"mainChain": true
},
{
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"index": 76,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2037b104e8763eb64be8a1775a5ee95135ecc1f5e0941a02031f1b9f2c2c0ed0e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "37b104e8763eb64be8a1775a5ee95135ecc1f5e0941a02031f1b9f2c2c0ed0e4"
}
},
"spentTransactionId": "ccdb16563f98f1b6cf8988612ad2963a46855da07e50990626faabbc00b8b8ca",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1830,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a",
"sigmaType": "Coll[SByte]",
"renderedValue": "177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a"
}
},
"spentTransactionId": "654fe1eb7cab2d2e936681168fc81752a941412d08b41c16f4f643acb073e331",
"mainChain": true
},
{
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"index": 78,
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"creationHeight": 1332358,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a6ff2fc001a271b31891207c3588580a10475c6e9c8bc4b8a7a05edc072ba4dd",
"sigmaType": "Coll[SByte]",
"renderedValue": "a6ff2fc001a271b31891207c3588580a10475c6e9c8bc4b8a7a05edc072ba4dd"
}
},
"spentTransactionId": "af1d90fff811416ff06da766ce9a8b2c9c0f6cb93c4a5015024d39aa4a69667b",
"mainChain": true
},
{
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2050380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "50380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f"
}
},
"spentTransactionId": "ef7e1c6d575886530fc36d7e01e9a5c1e3fc43747e4cfb27ecbd43377d8a55a5",
"mainChain": true
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{
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"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
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"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ccbeac573d3e14a970cb381ace3709878c575740f1d1d6c78e4af7ba5c860926",
"sigmaType": "Coll[SByte]",
"renderedValue": "ccbeac573d3e14a970cb381ace3709878c575740f1d1d6c78e4af7ba5c860926"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"value": 300000,
"index": 81,
"globalIndex": 42204087,
"creationHeight": 1332358,
"settlementHeight": 1332366,
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"ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(596283,8442e2,...)))\n2: SigmaProp(ProveDlog(ECPoint(9a1787,13df4d,...)))\n3: SigmaProp(ProveDlog(ECPoint(6f0abe,f24735,...)))\n4: SigmaProp(ProveDlog(ECPoint(37c2ac,9853ba,...)))\n5: SigmaProp(ProveDlog(ECPoint(3a97ce,34c46c,...)))\n6: SigmaProp(ProveDlog(ECPoint(5a2369,a6e355,...)))\n7: SigmaProp(ProveDlog(ECPoint(7631ef,bd24b8,...)))\n8: SigmaProp(ProveDlog(ECPoint(a3c11c,855bc5,...)))\n9: SigmaProp(ProveDlog(ECPoint(f3c19c,e3a122,...)))\n10: SigmaProp(ProveDlog(ECPoint(fefff9,fecf6f,...)))",
"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
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"assets": [
{
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"index": 0,
"amount": 62801,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
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"spentTransactionId": null,
"mainChain": true
},
{
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"index": 82,
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"creationHeight": 1332358,
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"ergoTree": "0008cd03b1a7c9c96b492460a840b5cc5d90018f456c865edd298dd00ba9b94406e60100",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b1a7c9,2e70cc,...)))}",
"address": "9hp3fH6LkT5tkKqrYUXX4J2D1TEYcBht62RhU6EXnSXCdrBH5jQ",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
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"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
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{
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"index": 0,
"amount": 92779227,
"name": "rsADA",
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"type": "EIP-004"
},
{
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"index": 1,
"amount": 6656053,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
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"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 3,
"amount": 20492301724,
"name": "rsHOSKY",
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"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 4,
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"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 5,
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"name": "rsBTC",
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"type": "EIP-004"
},
{
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"index": 6,
"amount": 2,
"name": "SigUSD",
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"type": "EIP-004"
},
{
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"index": 7,
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"name": "maff",
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"type": "EIP-004"
},
{
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"index": 8,
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"name": "Mint",
"decimals": 8,
"type": "EIP-004"
}
],
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"mainChain": true
},
{
"boxId": "453a463fda3a34936872662bef83248903f8184826388c2ec2580dd60f2be215",
"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"value": 1144463140539,
"index": 84,
"globalIndex": 42204090,
"creationHeight": 1332358,
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"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
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"index": 0,
"amount": 92779227,
"name": "rsADA",
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"type": "EIP-004"
},
{
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"index": 1,
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"type": "EIP-004"
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{
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"name": "SPF",
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"type": "EIP-004"
},
{
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"index": 3,
"amount": 20492301725,
"name": "rsHOSKY",
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"type": "EIP-004"
},
{
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"index": 4,
"amount": 1720840,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "rsBTC",
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"type": "EIP-004"
},
{
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"index": 6,
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"name": "SigUSD",
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"type": "EIP-004"
},
{
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"index": 7,
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"name": "maff",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 7324218750000,
"name": "Mint",
"decimals": 8,
"type": "EIP-004"
}
],
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"mainChain": true
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{
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"transactionId": "5ba4168279c9ef838c9e4cfac3a61ee143bf8f6a29dda2d959827c18de1b40d5",
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"value": 1100000,
"index": 85,
"globalIndex": 42204091,
"creationHeight": 1332358,
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"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": "ec76e5ff3ef71789f23d05ba72b5e5f88d4917a5c21f9e15e4056f101a84c116",
"mainChain": true
}
],
"size": 48095,
"isUnconfirmed": false
}