Transaction
ID: eb0b67efb6...be04
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.01 ERG
Tokens:
900
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 613,199
Total coins transferred: 1.01 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000563 ERG
Raw Transaction Data
{
"id": "eb0b67efb6e9ff24e1eae4d5e9bc369fde2b88b71e1d1fb9f615e3250fdbbe04",
"blockId": "bb18a1f66641c12bc7604cac204ea37aa856560620f917c01b475e7e8d882769",
"inclusionHeight": 1142982,
"timestamp": 1701004347340,
"index": 38,
"globalIndex": 6176122,
"numConfirmations": 613199,
"inputs": [
{
"boxId": "ecb9cd13b17d471e266749b1522b08bfe7f074653b5935608aa7bda232d2c410",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "73ad471b783e839cec32ff92a2c8ae91ee6a27017b4924eb3fa71d622d281aca",
"outputTransactionId": "4a85e34916abee739bff0136d16d65f38f7e4900ba8b3b301d3b90a0460b32b0",
"outputIndex": 0,
"outputGlobalIndex": 34583972,
"outputCreatedAt": 1142974,
"outputSettledAt": 1142976,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(98,94,124,37,-57,-19,-115,-33,20,105,-39,-2,67,-105,-54,70,45,-116,98,121,-100,-85,-127,-58,-111,120,77,-101,-94,-112,-2,-25)\n3: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-33,115,-42,23,107,-74,-111,-1,18,-44,125,-78,45,-62,63,31,112,3,-16,42,86,-55,93,104,65,104,95,-26,-124,105,-77,-43)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-loen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 1,
"amount": 986400000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 2,
"amount": 13600001,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a06046572676f204dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a720c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b8397772020d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b22000e23ccdac6079bd1c3bb0a1e52944caa0918d03ef81c9d4565ed2d3417fa4fd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,4dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a7,c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b83977720,d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251,7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2,00e23ccdac6079bd1c3bb0a1e52944caa0918d03ef81c9d4565ed2d3417fa4fd]"
},
"R5": {
"serializedValue": "110600c0ee6dc0ee6dc0ee6dc0ee6d80dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,900000,900000,900000,900000,10000000]"
},
"R6": {
"serializedValue": "1106c09a0c8c01020a80d0dbc3f4028084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000,70,1,5,50000000000,100000000]"
},
"R7": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
}
},
{
"boxId": "1c7c0fb092f1f2f382e9e84fb5870ce7e024f375662f9fb03df68499f2f11dcb",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bfa2b086b0b873e212bdf655814bd31b0f18b7c24aaf2f5d30758e25154f4096",
"outputTransactionId": "f678e45afdb94ac21fe82e8e135eb4d04cea2b97ebf26164f04535807501fac4",
"outputIndex": 5,
"outputGlobalIndex": 34448787,
"outputCreatedAt": 1139273,
"outputSettledAt": 1139281,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"name": "eRWT-loen",
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"type": "EIP-004"
}
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"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
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"index": 2,
"spendingProof": "a3fce2891371af60c56fd246be877f39f43de86289810302c130607d6d7478a00a28dbfb5485e98287c895f7ed2e2fb5a514405835ae27e1",
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"outputTransactionId": "41db36ab82ba108450c37d974aad9fb9aef81ac8e60db2e134597e43c76a186b",
"outputIndex": 0,
"outputGlobalIndex": 34581297,
"outputCreatedAt": 1142926,
"outputSettledAt": 1142931,
"ergoTree": "0008cd027d48127cbdc33b2617837a69ef18dcbef8f1a01bf08323cedc13ee384c39e98e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7d4812,80bd99,...)))}",
"address": "9fUEfSfGXBjycqGcX6aFyMnUMhXdezkXSiuZzEk41pTcyVVGF8s",
"assets": [
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"index": 0,
"amount": 1,
"name": "WID-yVVGF8s",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {}
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{
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"value": 1000000000,
"index": 3,
"spendingProof": null,
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"outputTransactionId": "175cf5355f3838a24e025cf300eda731607fc3978888b81663cadeb89ce0e242",
"outputIndex": 3,
"outputGlobalIndex": 33678208,
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"outputSettledAt": 1119203,
"ergoTree": "10070400040004010404040004000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3d805d601e4c6a7040ed602b2a4730000d603b2a5730100d604e5c6720307047302d605e4c67203041ad196830401938cb2db6308b2a473030073040001720193b2e4c67202041a7204007201ec93b17205720494b272057204007201938cb2db63087202730500017306",
"ergoTreeConstants": "0: 0\n1: 0\n2: -1\n3: 2\n4: 0\n5: 0\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = OUTPUTS(placeholder[Int](1))\n val i4 = box3.R7[Int].getOrElse(placeholder[Int](2))\n val coll5 = box3.R4[Coll[Coll[Byte]]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == coll1, box2.R4[Coll[Coll[Byte]]].get(i4) == coll1, (coll5.size == i4) || (\n coll5(i4) != coll1\n ), box2.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)\n )\n )\n )\n}",
"address": "2DxRv75maq3FewTq4mCgRzJPaGfyyWsaJkBQ1syuTg1XZg9avspmm9c6nMVn2ix7WMEq7xZ6QUczkEN8rJFEiY7eG7vP7zg4YC53UKLdHLRnEQfx2Nb3A2iBq4AN216eMcxVEzeqDqenSRd3bjnJVXsJp8SeynUSnk5brnsD2rrjsQTQzwAZi57xQn3a93Gsqt8mDmauRhixCsPGHV4Fqv3hq",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2"
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{
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"index": 4,
"spendingProof": null,
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"outputTransactionId": "35f101d08d7ad09255ded5c9b2341d716103c5b2e40ae57e8e0343e287b964ca",
"outputIndex": 2,
"outputGlobalIndex": 34448508,
"outputCreatedAt": 1139267,
"outputSettledAt": 1139271,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
}
},
{
"boxId": "500034168aea3afa531831fc34be93bc104bd430baf93ea3110c8025174c05ae",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "6bd9f1ccb28028c79fd8b8574c925207d6720a58f8e7eaff08e1f8be1c2129d5",
"outputTransactionId": "7c46a196a1e56f306d74e5b66b78e3a1044217facafd27fc5d52367ca4b324e5",
"outputIndex": 3,
"outputGlobalIndex": 34447995,
"outputCreatedAt": 1139256,
"outputSettledAt": 1139259,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
}
},
{
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"value": 1100000,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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{
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"index": 0,
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
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{
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"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
}
},
{
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"value": 1100000,
"index": 10,
"spendingProof": null,
"outputBlockId": "b808fe23983a7730be0266a951d611ac8d9ca2d1fdf0ef308a4ae35af963550c",
"outputTransactionId": "b83cd96ecb172b248ee8941b99cd1a95b3252e7e6fa2d45098d8ff77bedc3486",
"outputIndex": 7,
"outputGlobalIndex": 34382813,
"outputCreatedAt": 1137564,
"outputSettledAt": 1137568,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
}
},
{
"boxId": "c8f7b84e761095942240c95cd6782815dfdaf6aa4542cc4d676b696222595b11",
"value": 1100000,
"index": 11,
"spendingProof": null,
"outputBlockId": "ba6f027f0332125e4386b90320a2b2f61fbc5f518142ca83315bb34f2ad422c1",
"outputTransactionId": "e219e022eb6161cc7badb9a3fe4b5a4a345239180ad8f18d7bae97aa575778d7",
"outputIndex": 0,
"outputGlobalIndex": 34345395,
"outputCreatedAt": 1136514,
"outputSettledAt": 1136517,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "4423c09c5ebe9ece8fd350f03a3aaa3482f5ce817615827f245f804cd1743c60",
"transactionId": "eb0b67efb6e9ff24e1eae4d5e9bc369fde2b88b71e1d1fb9f615e3250fdbbe04",
"blockId": "bb18a1f66641c12bc7604cac204ea37aa856560620f917c01b475e7e8d882769",
"value": 1100000,
"index": 0,
"globalIndex": 34584101,
"creationHeight": 1142980,
"settlementHeight": 1142982,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(98,94,124,37,-57,-19,-115,-33,20,105,-39,-2,67,-105,-54,70,45,-116,98,121,-100,-85,-127,-58,-111,120,77,-101,-94,-112,-2,-25)\n3: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-33,115,-42,23,107,-74,-111,-1,18,-44,125,-78,45,-62,63,31,112,3,-16,42,86,-55,93,104,65,104,95,-26,-124,105,-77,-43)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-loen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 1,
"amount": 987300000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 2,
"amount": 12700001,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a05046572676f204dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a720c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b8397772020d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef2512000e23ccdac6079bd1c3bb0a1e52944caa0918d03ef81c9d4565ed2d3417fa4fd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,4dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a7,c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b83977720,d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251,00e23ccdac6079bd1c3bb0a1e52944caa0918d03ef81c9d4565ed2d3417fa4fd]"
},
"R5": {
"serializedValue": "110500c0ee6dc0ee6dc0ee6d80dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,900000,900000,900000,10000000]"
},
"R6": {
"serializedValue": "1106c09a0c8c01020a80d0dbc3f4028084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000,70,1,5,50000000000,100000000]"
},
"R7": {
"serializedValue": "0408",
"sigmaType": "SInt",
"renderedValue": "4"
}
},
"spentTransactionId": "5654fd33753a34c80a1c026f31d441338b71779ca6be03d47dd8bd64d00297ec",
"mainChain": true
},
{
"boxId": "f724b5bda6dddc9e37d92692fa0ad93ab012c0e754c43ce1ad664efc80cb18b6",
"transactionId": "eb0b67efb6e9ff24e1eae4d5e9bc369fde2b88b71e1d1fb9f615e3250fdbbe04",
"blockId": "bb18a1f66641c12bc7604cac204ea37aa856560620f917c01b475e7e8d882769",
"value": 1009900000,
"index": 1,
"globalIndex": 34584102,
"creationHeight": 1142980,
"settlementHeight": 1142982,
"ergoTree": "0008cd027d48127cbdc33b2617837a69ef18dcbef8f1a01bf08323cedc13ee384c39e98e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7d4812,80bd99,...)))}",
"address": "9fUEfSfGXBjycqGcX6aFyMnUMhXdezkXSiuZzEk41pTcyVVGF8s",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 900000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "44f8c3a4b23310fcd855e27eaaf971d0e3fcdabab85903ed49ef16f69e9b6403",
"mainChain": true
},
{
"boxId": "f24f54844279059a199d07e7d56bc73defdf8312d0fafd1cf51c05e061ac05f7",
"transactionId": "eb0b67efb6e9ff24e1eae4d5e9bc369fde2b88b71e1d1fb9f615e3250fdbbe04",
"blockId": "bb18a1f66641c12bc7604cac204ea37aa856560620f917c01b475e7e8d882769",
"value": 1100000,
"index": 2,
"globalIndex": 34584103,
"creationHeight": 1142980,
"settlementHeight": 1142982,
"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": "a25fbe5735db94167d95fb6b65d3b36f071c5107ccc8e1e006ad4c6da5de2a7c",
"mainChain": true
}
],
"size": 1955,
"isUnconfirmed": false
}