Transaction
ID: 70e0dabb81...8aeb
Inputs (9)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
84
Spent
Address:
Output transaction:
Settlement height:
Value:
1.2 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.21 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
297
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 420,019
Total coins transferred: 1.22 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000858 ERG
Raw Transaction Data
{
"id": "70e0dabb8186355ed27a7e5e916b40462e517ddecc6d6acf504c9bf1f8c58aeb",
"blockId": "645d65f12b7fc4698abf2eb8c72efd09d0452529f9fc42cea6238d9fd9a761db",
"inclusionHeight": 1348558,
"timestamp": 1725900919299,
"index": 7,
"globalIndex": 7774420,
"numConfirmations": 420019,
"inputs": [
{
"boxId": "038c6aaf69d400f2832c63004cab1c3619e21df8c348f89ca770b70edf94abcf",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7ae309b84b897822d8e90a9161c47b5007de495d2e479b6a767d176086a92346",
"outputTransactionId": "d4a56c834bb276805573e931361de403d26e61cad5d2466c247c5415a6a02de8",
"outputIndex": 0,
"outputGlobalIndex": 42601238,
"outputCreatedAt": 1347078,
"outputSettledAt": 1347081,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 84000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "3c5c4fa04762bf7764bd75a3d13aa01a3633a83d2e24015ee9f5b80a116f4f02",
"value": 1202140000,
"index": 1,
"spendingProof": "639980839aff18c814511f8315655aae70017b53d39d3a3d84764271017327a475f65315cd62e481e515fa9ebb181376f7c3330f2fc519be",
"outputBlockId": "7ae309b84b897822d8e90a9161c47b5007de495d2e479b6a767d176086a92346",
"outputTransactionId": "d4a56c834bb276805573e931361de403d26e61cad5d2466c247c5415a6a02de8",
"outputIndex": 2,
"outputGlobalIndex": 42601240,
"outputCreatedAt": 1347078,
"outputSettledAt": 1347081,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
"tokenId": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"index": 0,
"amount": 3,
"name": "WID-84670-hSHe9CF",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c19519b199476780d89e0bbbf478aa37a266f396630b47b356821923d65af286",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "cc1648e0523ac8c6fd0725c3828d9996444d9f12d31226dce6015670195802db",
"outputTransactionId": "66d67a4f1ebd70183fac9be669456ec0e925b2607c13826e97573bab9e390abe",
"outputIndex": 0,
"outputGlobalIndex": 42601411,
"outputCreatedAt": 1347099,
"outputSettledAt": 1347102,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
}
}
},
{
"boxId": "e015aa8284c2f8158830ab33b3bf352a0a797c38e9365f595262cfb733b6542e",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "b4d039d831c798fd6b671852c86f50a323dbe7d4ce71d60244b01cd1ff943d6b",
"outputTransactionId": "fc52af6a71e00da39360892826daca57ad0c186c0795dde4366b9d56d604235a",
"outputIndex": 3,
"outputGlobalIndex": 42601847,
"outputCreatedAt": 1347114,
"outputSettledAt": 1347118,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
}
}
},
{
"boxId": "11c2fbe551c0582cd869e67e848f029489b7a7785737165d510eaa9002686e75",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "9203f3724d3cdc81a7dc28cca79cf42c0d6426d57a757094bca8950da6cd8610",
"outputTransactionId": "f8ef444abf9c181fe44f4626dca47f3e0757433b39a8e075821415cb0650e49e",
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"outputGlobalIndex": 42601956,
"outputCreatedAt": 1347117,
"outputSettledAt": 1347121,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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{
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"index": 1,
"amount": 4000,
"name": "RSN-loen",
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}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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{
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"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "87092238db9cc18bb0143bfe91edaf708f9d29f4b90c86e50e1f4715ba097617",
"outputTransactionId": "ae3e63ef5b22724663516b6c1cc1f51a062bfc5894284a37f5a844d85dfc97e5",
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"ergoTree": "101904000400040004000400040005000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3040604000404040204000402050404000400040004000400040204000e201f86f709a22c768a98e8f6b31d1dfaff03d44a4fca2b19968378fe04b2e35e1104040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
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{
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"amount": 1000,
"name": "eRWT-loen",
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"type": "EIP-004"
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{
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"name": "RSN-loen",
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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"spendingProof": null,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 280000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
}
}
},
{
"boxId": "2d6adbe4d4c22b4b8fd888e49523e72a44f4e3392cd6f7de1d02ac4d149a9a49",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "8372a63a373a5c9957ff807f22fd2b780cca6bb3ecd0dd75f37fd6a5bcac5799",
"outputTransactionId": "822438aa9a5771c1a7f1d24d43805b2bdc2f64b5fe6625c189a2909b4719b375",
"outputIndex": 3,
"outputGlobalIndex": 42602310,
"outputCreatedAt": 1347136,
"outputSettledAt": 1347139,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCNmFZcoygGXL44xZUfocBHKjDSoMnaKPP8NyAhPaYHgpkrofJUmqheBQAzwVs3fSfg4pqsBSGmUULd3tqSo2BAy53CDWCij4v5jhJgNEvBWXXDdxHY7nWAqwXNH9v8VxD2Wv2YwBMZCBiXmfvzmSgLt2SoaViQUgiyxQvg3fY6KeKVBUu1VwMRZFMEMzraABo8A9g2Mr8ErNo4F86j8reRNHi7ruVd5G5FtVDRmEBRowmj3Ssxdz9c5DLuwbuS1hpwEedcd4KodaRACLCyYVPz2KhZsH33UeLwoNkRokmKtkq11AMKuqekRLhsUX8BrHmjUQ2b7MaYRACnN4o729rxxZPTVG9MmYKBk1ZQcabCy5pnrZuBNqvAZ9vHEnWK1P8uGr3eRh8Gj72WQ3nABiF1azFHVKt6pyK8WUqNmERApXRfuc9DBKjmGuBZF9DKPtPC19MDHwK97AAbR68K7t5WXKt4rQYB6exk3592eYucWw9XZnD1bHX2T7mRm9WteLgPuam3C47LUkVvYcTGuagRFbFRPFtsauKkVamqLmwPCoZn9uiPw5jWLXMKZLkRohCzpzpFsJLbfXt3daWuJKepktgoapwDE4EfVV3kAsiTLny2t2CVuSULZYYW8joVQTfvQZqeDTRHF6hW4Mqoe88pLpdF6RKGu4ra5niVNQNV3fCT",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
}
}
},
{
"boxId": "efa3d8d4150320fdf0014ac822bfe621198a7867b9d174b3d4d11e6cb6585e37",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "72af84489f6f9c52fa913c922c335f0a1679625718e9716c1376335c42822de9",
"outputTransactionId": "8325d65b8a7f1dfb0be4d8a357ae76cc22a2c0ca2ed99f1a1df8ea235ed337ca",
"outputIndex": 2,
"outputGlobalIndex": 42602476,
"outputCreatedAt": 1347142,
"outputSettledAt": 1347148,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCNmFZcoygGXL44xZUfocBHKjDSoMnaKPP8NyAhPaYHgpkrofJUmqheBQAzwVs3fSfg4pqsBSGmUULd3tqSo2BAy53CDWCij4v5jhJgNEvBWXXDdxHY7nWAqwXNH9v8VxD2Wv2YwBMZCBiXmfvzmSgLt2SoaViQUgiyxQvg3fY6KeKVBUu1VwMRZFMEMzraABo8A9g2Mr8ErNo4F86j8reRNHi7ruVd5G5FtVDRmEBRowmj3Ssxdz9c5DLuwbuS1hpwEedcd4KodaRACLCyYVPz2KhZsH33UeLwoNkRokmKtkq11AMKuqekRLhsUX8BrHmjUQ2b7MaYRACnN4o729rxxZPTVG9MmYKBk1ZQcabCy5pnrZuBNqvAZ9vHEnWK1P8uGr3eRh8Gj72WQ3nABiF1azFHVKt6pyK8WUqNmERApXRfuc9DBKjmGuBZF9DKPtPC19MDHwK97AAbR68K7t5WXKt4rQYB6exk3592eYucWw9XZnD1bHX2T7mRm9WteLgPuam3C47LUkVvYcTGuagRFbFRPFtsauKkVamqLmwPCoZn9uiPw5jWLXMKZLkRohCzpzpFsJLbfXt3daWuJKepktgoapwDE4EfVV3kAsiTLny2t2CVuSULZYYW8joVQTfvQZqeDTRHF6hW4Mqoe88pLpdF6RKGu4ra5niVNQNV3fCT",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "3d7089e87c449cfc6edba99e84b3593106c434832e964fb107e7ad4996ce1339",
"transactionId": "70e0dabb8186355ed27a7e5e916b40462e517ddecc6d6acf504c9bf1f8c58aeb",
"blockId": "645d65f12b7fc4698abf2eb8c72efd09d0452529f9fc42cea6238d9fd9a761db",
"value": 2000000,
"index": 0,
"globalIndex": 42634693,
"creationHeight": 1348555,
"settlementHeight": 1348558,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 90000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670",
"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "bc526280decf738e9d5744675686084e792c291f13c8be46bf507005732fe305",
"mainChain": true
},
{
"boxId": "296df7898b666cb27b29c6eb9a99db93d31b9823c98f8f9cc3743f7540d15ec5",
"transactionId": "70e0dabb8186355ed27a7e5e916b40462e517ddecc6d6acf504c9bf1f8c58aeb",
"blockId": "645d65f12b7fc4698abf2eb8c72efd09d0452529f9fc42cea6238d9fd9a761db",
"value": 2000000,
"index": 1,
"globalIndex": 42634694,
"creationHeight": 1348555,
"settlementHeight": 1348558,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "bc6966cbf23fc183f17b53343d86e016cd453e79eb491f697c3b4fc1532be807"
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"sigmaType": "Coll[SByte]",
"renderedValue": "9779efba548dca0264763db29fd8400e281920881523e04152959f09f50a73dd"
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"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
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{
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"value": 1210140000,
"index": 2,
"globalIndex": 42634695,
"creationHeight": 1348555,
"settlementHeight": 1348558,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "WID-84670-hSHe9CF",
"decimals": 0,
"type": "EIP-004"
}
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"mainChain": true
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{
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"value": 2000000,
"index": 3,
"globalIndex": 42634696,
"creationHeight": 1348555,
"settlementHeight": 1348558,
"ergoTree": "0008cd0391d0eae1676bff284b1feaf7a11d7ea62cda233489157fff218aae8426fa3e43",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(91d0ea,ec80b5,...)))}",
"address": "9ha2NGr96WvhWB8hQ94vFa8rtJQGrZjoqeT57ggrp1gdhSHe9CF",
"assets": [
{
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"index": 0,
"amount": 297000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
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{
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"transactionId": "70e0dabb8186355ed27a7e5e916b40462e517ddecc6d6acf504c9bf1f8c58aeb",
"blockId": "645d65f12b7fc4698abf2eb8c72efd09d0452529f9fc42cea6238d9fd9a761db",
"value": 2000000,
"index": 4,
"globalIndex": 42634697,
"creationHeight": 1348555,
"settlementHeight": 1348558,
"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": "37d4893aee243aaaaf603a6fa30f0f30f654d97cefffdccac725b14bd38c1a97",
"mainChain": true
}
],
"size": 2331,
"isUnconfirmed": false
}