Transaction
ID: 09788efcde...e659
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
90
Spent
Address:
Output transaction:
Settlement height:
Value:
6.81 ERG
Tokens:
Outputs (15)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.16 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
300.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01112093 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.96 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.67 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 650,485
Total coins transferred: 6.82 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000019 ERG
Raw Transaction Data
{
"id": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
"blockId": "03d69e9468845bafc0a557b2283c4f6c5f02c5098f56027bd16ecfd1422a3685",
"inclusionHeight": 1119474,
"timestamp": 1698159422213,
"index": 4,
"globalIndex": 6009345,
"numConfirmations": 650485,
"inputs": [
{
"boxId": "71f83f2f6914160a495e9f8184babf3338d12823cfc52b35feaf634f61910495",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2b27253af9cf3c2a6eda4d1b9556f596768d1978ecff9d83ccd8c81352392520",
"outputTransactionId": "2c62ce474628782e67d166013f96afc97f619adce0c56b7cc8ecd0bf9127d459",
"outputIndex": 0,
"outputGlobalIndex": 33690798,
"outputCreatedAt": 1119363,
"outputSettledAt": 1119366,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(119,37,56,-14,72,-36,-110,31,16,-83,-118,110,-49,88,-119,-34,-71,-125,29,24,97,6,14,-110,102,59,-27,-67,-53,-95,124,-19)\n7: 1\n8: 0\n9: Coll(12,-95,-45,30,-109,-76,47,-98,68,-27,41,14,52,17,-86,-94,-70,103,-86,-63,88,-27,121,22,-26,69,97,45,17,7,41,-11)\n10: 7200\n11: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVb78U7vRX6K6qwuSDauDzTF5ARRi7EqxFxHJwyEspfFcA8fdNUV7gzv9T7v6Dt8KBHZxXrb3rLvX7s45oYovhe8GRs98ZBk2UNNRrRcssVErfbEhQypJpUARoniQo3uUBksqczE4v1ks5ycVwgAj2HoHQEDfbTAsJA7iLZ72GAUZHGjLrdHtgNm9ZHoN6u7f3d7qwFMpRQYxEPNfZFXwXjmH6LnP4RatYCLRaRnq8THR8mQRvmrcm7nXiUKFhAypqHRc4Pp8vod2FAZuEo7v2C9paky93rqhEBSKmDF6NBbkdVUqc3gXypYQA4Y3oKvEiMRtXXRPf7RtNiqWrWZTNYztRaNAwnz46mBkTfvYDnQPirpcj2Q5nVRSM2BJ1NxFu4eviCUTsh4aBGM4ArMQ1v6WcD9BERV6x3UC3g7LAhtbb",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 90000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e,d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa,f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3,db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7,88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b,297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7,4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad,8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9,04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[36353234666139356630343235336533366566333061313136663830306232316136323034643465366135636532386464323961356433353161396266666434,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,00000000f639e3b9,0000000080fedb71,0000000000a51d42,6173736574313932786d6a796a7578707764776735656d6b766466776671373937356832727377646b796879,657267,63633165316264306134376431633862386263393339316531656636323165633533656533356631653063396639383432313763643939323461393237326538,0000000000904a40]"
},
"R6": {
"serializedValue": "0e20b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650",
"sigmaType": "Coll[SByte]",
"renderedValue": "b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650"
}
}
},
{
"boxId": "40c259b002f99c860036aa934d7f89fdfa1424adaf900205ce7e29c5106fffaf",
"value": 6806098294,
"index": 1,
"spendingProof": "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",
"outputBlockId": "3d3350101eaf43f8e40157b40644efa7036fb53209f1e1ee661b5c86b5c84194",
"outputTransactionId": "91f43569ad6459e32d0a09d056f298252ef6cf30dd5955b60eb542df0e2ae886",
"outputIndex": 12,
"outputGlobalIndex": 33694573,
"outputCreatedAt": 1119462,
"outputSettledAt": 1119469,
"ergoTree": "100304000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: 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)\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": "nB3L2PD3JTNGWZVRVuTYLEyHwoSe4EC4zP5Wd7x1f29FimSmwmUPsaR5duxgoZ8bZdyBBpHkEHaAhPMxgaGL2KhQEezsTCdayAoWYX6mLEXDM1hGfv5ZrEq5PWA4aPCcbiefyVyrZGFA5",
"assets": [
{
"tokenId": "9d9887f126735dbce60a4562eb2f8b19a9100f85a0cb1c88fd3963d7a39dec46",
"index": 0,
"amount": 50000482282,
"name": "wrToken-loen",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 9989147043,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0bf47c19e49944a38948c635c0aef93d89737aa68df5ad881b07c8f9a63e398d",
"index": 2,
"amount": 999999955835413,
"name": "wrADA-loen",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "06857c8d21e6602be20d6c5658a879bdd2149cd4b8ad573783dcbaa5dc6b7308",
"value": 1100000,
"index": 0,
"outputBlockId": "d72b7f158c6126065104741f32d92acaf297e02171801956a243a9cef28ef80f",
"outputTransactionId": "6b0a150d80b7f1881aa0238e2dd9b05f6add614cb0fe5142a9ee836f9c342099",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0329c11a8c915014f7f538f9af5005bda5c92c01045fa2fe204a566f465c85ca42,0210b79b76d47d2f7bed850b2632b31b0a36b1f41d578ab323a315f177201c42de,022c2e132c2d3065d904830122d5dcc9ad3435f58392647d8886cb76ca6bedfe30,0224def9adbb89ec4963c256f48ab594cd7ea4efe465cdaf1a96bd004a2af81062,02bbcccfad6962e01d94d2155e58798bd5d452a7be3573c644b2c75efdfe30f347,02c12daa0e0290c493012758031af979d222440c66636751a3e50b6118ab70404d,03b0a147903e493896822e99ddd7f4ab64792a3e0c7f064e8292e6add1f3c6117e,03372fe8c849c66847dfcaee0263bdd9f212bd1e27b2b6388789ad283c93cc6c86,0242f6c85295030adc35e014ac85447ab29c771bf1c80f23c2ff465356b412d565,0367a8b3ccc55d368ff2601c41c1dfb642254399d7d2e3f8aae4ea440b0e7f0050]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "b582710f1ddc777e845b08f1de936c8542553524740e82bf8bc9669252e92580",
"transactionId": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
"blockId": "03d69e9468845bafc0a557b2283c4f6c5f02c5098f56027bd16ecfd1422a3685",
"value": 1100000,
"index": 0,
"globalIndex": 33694713,
"creationHeight": 1119466,
"settlementHeight": 1119474,
"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e]"
}
},
"spentTransactionId": "8bbfe47c4f94d0b468cc18b399ce3353a3d736e8e681132c72068605c70abc67",
"mainChain": true
},
{
"boxId": "a9bdec7413b9f9a699a7823dc0037a537960703fb799b774da4bc24a01139aac",
"transactionId": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
"blockId": "03d69e9468845bafc0a557b2283c4f6c5f02c5098f56027bd16ecfd1422a3685",
"value": 1100000,
"index": 1,
"globalIndex": 33694714,
"creationHeight": 1119466,
"settlementHeight": 1119474,
"ergoTree": "10150400040004000404040004020e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304040400040004020400010104000400040005000e20f6ebb4f4e3afacd9e665faacece987a12a3d1f7990717543997239f9f744a1ee040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63938cb2db6308720b730e00017204d9010b638cb2db6308720b730f00027310d9010b599a8c720b018c720b028c720202938c720901720493cbc272077311e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573120073130001b27206731400",
"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa]"
}
},
"spentTransactionId": "f9b8d3085c8519ac1d1021d77a78925545653ff5dbb42abf960b2b7ebf3257eb",
"mainChain": true
},
{
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"value": 1100000,
"index": 2,
"globalIndex": 33694715,
"creationHeight": 1119466,
"settlementHeight": 1119474,
"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3]"
}
},
"spentTransactionId": "3f10789de32fc5dd9a0204c6716805ee1e1aca573cf6a33e58046ff28d0d72d6",
"mainChain": true
},
{
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"value": 1100000,
"index": 3,
"globalIndex": 33694716,
"creationHeight": 1119466,
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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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7]"
}
},
"spentTransactionId": "db21de6f9785e81816bd1477b18391fc6335a66c77420f82480886544b56322f",
"mainChain": true
},
{
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"transactionId": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
"blockId": "03d69e9468845bafc0a557b2283c4f6c5f02c5098f56027bd16ecfd1422a3685",
"value": 1100000,
"index": 4,
"globalIndex": 33694717,
"creationHeight": 1119466,
"settlementHeight": 1119474,
"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012088e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b]"
}
},
"spentTransactionId": "0ccddde15f1ab82fc9898c5497e24391efc1200f8d36f09cc5cef682836b97ef",
"mainChain": true
},
{
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"value": 1100000,
"index": 5,
"globalIndex": 33694718,
"creationHeight": 1119466,
"settlementHeight": 1119474,
"ergoTree": "10150400040004000404040004020e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304040400040004020400010104000400040005000e20f6ebb4f4e3afacd9e665faacece987a12a3d1f7990717543997239f9f744a1ee040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63938cb2db6308720b730e00017204d9010b638cb2db6308720b730f00027310d9010b599a8c720b018c720b028c720202938c720901720493cbc272077311e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573120073130001b27206731400",
"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7]"
}
},
"spentTransactionId": "9fcb29355675cd3c19daf3030c40ccc4c59d19610372430844db5f3d8f8cafcd",
"mainChain": true
},
{
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"value": 1100000,
"index": 6,
"globalIndex": 33694719,
"creationHeight": 1119466,
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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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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01204cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad]"
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},
"spentTransactionId": "a30791cc10b62d974462beab1dc1ed0218a88f8bca221dcba5a8514d0cc2c39c",
"mainChain": true
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{
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"transactionId": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
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"index": 7,
"globalIndex": 33694720,
"creationHeight": 1119466,
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"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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 22222,
"name": "RSN-loen",
"decimals": 3,
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],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9]"
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"mainChain": true
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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(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\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": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"name": "RSN-loen",
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"additionalRegisters": {
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"serializedValue": "1a012004104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6]"
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"spentTransactionId": "97b9b28dd4ab15229ff363635f37d59a9d0b3ca6ad29b7b4a03cfaabd2e2ba0a",
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"creationHeight": 1119466,
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"ergoTree": "0008cd0283729b7d284e528aceac69706af1221fbb345cd78e85e984c9bc8af23cdf3589",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b5d6ac,d5b778,...)))}",
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}
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
"address": "9f7YiJRETT14PzywFSWyHwzFstMhcpqAozVffewuQ4Mus6X7AFU",
"assets": [],
"additionalRegisters": {},
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e5f5f6,a26aed,...)))}",
"address": "9iD5jMoLjK9azTdigyT8z1QY6qHrA6gVrJamMF8MJ2qt45pJpDc",
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},
{
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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}",
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{
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"index": 0,
"amount": 50000482282,
"name": "wrToken-loen",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 9988647043,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0bf47c19e49944a38948c635c0aef93d89737aa68df5ad881b07c8f9a63e398d",
"index": 2,
"amount": 999999955835413,
"name": "wrADA-loen",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a39fe2a8bc0b095ef459e4156c49b8714900b6dea3dbbaed53fdf8e4099f3d66",
"mainChain": true
},
{
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"transactionId": "09788efcdef66a6b022c5a1360dea85107386dc443697994f0706a51a1e0e659",
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"value": 1100000,
"index": 14,
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"creationHeight": 1119466,
"settlementHeight": 1119474,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"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": "cd2466e55418f46caa6376b0f9621caf2741f21c4530b31ae7d3a8ecb05f9ff4",
"mainChain": true
}
],
"size": 5797,
"isUnconfirmed": false
}