Transaction
ID: 9dc6fedcb1...bdc3
Inputs (62)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
800 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
17.51 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
9
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
102.88
Spent
Address:
Output transaction:
Settlement height:
Value:
0.018 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
101.05
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
112.32
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
104.55
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
118.31
Spent
Address:
Output transaction:
Settlement height:
Value:
0.034 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
100.90
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
105.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
138.77
Spent
Address:
Output transaction:
Settlement height:
Value:
0.014 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
101.56
Spent
Address:
Output transaction:
Settlement height:
Value:
0.026 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
122.12
Spent
Address:
Output transaction:
Settlement height:
Value:
0.014 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
113.40
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
102.61
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
102.96
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
100.67
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
111.83
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
144.47
Spent
Address:
Output transaction:
Settlement height:
Value:
0.044 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
124.35
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
410.30
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
710.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
2,102.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.04 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
106.24
Spent
Address:
Output transaction:
Settlement height:
Value:
0.022 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
101.86
Spent
Address:
Output transaction:
Settlement height:
Value:
0.044 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
135.86
Spent
Address:
Output transaction:
Settlement height:
Value:
0.046 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
104.13
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
102.30
Spent
Address:
Output transaction:
Settlement height:
Value:
0.056 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
123.37
Spent
Address:
Output transaction:
Settlement height:
Value:
0.038 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
101.79
Spent
Address:
Output transaction:
Settlement height:
Value:
0.052 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
103.42
Spent
Address:
Output transaction:
Settlement height:
Value:
0.058 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
101.24
Spent
Address:
Output transaction:
Settlement height:
Value:
0.034 ERG
Tokens:
71.05
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
100.73
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
800 ERG
Tokens:
Loading assets...
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
18.36 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 3,930
Total coins transferred: 818.37 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000025 ERG
Raw Transaction Data
{
"id": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"inclusionHeight": 1753376,
"timestamp": 1774899900018,
"index": 13,
"globalIndex": 10523328,
"numConfirmations": 3930,
"inputs": [
{
"boxId": "e1dfac9e56eb6633234f6b16e90df0d05729866420120e0149c271f10d0fc0b1",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "26e7fccb41c18f9734ad5a30df6945ee9a61f54679e6f114f3dd1af80032a449",
"outputTransactionId": "1cc2d8926e843413b3879d16dd3545c84ce41630de656069851991a98568c5fa",
"outputIndex": 0,
"outputGlobalIndex": 54437410,
"outputCreatedAt": 1753316,
"outputSettledAt": 1753317,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(111,-113,115,-14,-72,70,73,13,-104,106,61,44,-97,80,-97,-75,110,47,-39,95,-64,16,12,122,31,106,-111,31,89,-22,118,59)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 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 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660",
"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 1,
"amount": 997498606729,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 2501393272,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "c2bdf69d3fd88c3a82149200fe756bffb850c1433ea8473f26664877cc7188b3",
"index": 3,
"amount": 1887,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "05e201",
"sigmaType": "SLong",
"renderedValue": "113"
}
}
},
{
"boxId": "4b0dde287dcf51ded3ac8ebd72176c8a529a46a48091c1893a16a5b3d16eee2c",
"value": 800000000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e3e619a173ff0f9d1d2728bd95655c6b5aff85c49d8ecb1232e4451e2fe4e315",
"outputTransactionId": "78e2b5ecbb96b580ef15e93143414a1d951f1da8e3b8ba5e50e8fe26a608a18b",
"outputIndex": 1,
"outputGlobalIndex": 47299828,
"outputCreatedAt": 1501189,
"outputSettledAt": 1501191,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
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{
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"name": "rspv2ErgoAWC",
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"type": "EIP-004"
},
{
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c"
},
"R5": {
"serializedValue": "05a0dc8314",
"sigmaType": "SLong",
"renderedValue": "21002000"
}
}
},
{
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"ergoTree": "0008cd024952b3b4d534b145986b630fedc0fbe5ab3ad17cf2b8149f25a648da363cffc9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4952b3,676d90,...)))}",
"address": "9f5MTHfHGpuKeprRJebQSsj8XBme8YTuTUPpKbaXo7N7qPVFzto",
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{
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"decimals": 0,
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}
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(111,-113,115,-14,-72,70,73,13,-104,106,61,44,-97,80,-97,-75,110,47,-39,95,-64,16,12,122,31,106,-111,31,89,-22,118,59)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 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 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 997495606728,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"amount": 2504393273,
"name": "RSN",
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"type": "EIP-004"
},
{
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"index": 3,
"amount": 1887,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "05e201",
"sigmaType": "SLong",
"renderedValue": "113"
}
},
"spentTransactionId": "ef24ccbe058ed2ff6e098a4999fbb2ed1478f53a6d016d9aa2f4a12f762c8e4e",
"mainChain": true
},
{
"boxId": "d32acfdf45f5e3f91016b0ecabaf7eb763f46e7be893fa45b4e7df39095bdca4",
"transactionId": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"value": 800000000000,
"index": 1,
"globalIndex": 54439421,
"creationHeight": 1753374,
"settlementHeight": 1753376,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c2bdf69d3fd88c3a82149200fe756bffb850c1433ea8473f26664877cc7188b3",
"index": 0,
"amount": 1,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 30000000,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c"
},
"R5": {
"serializedValue": "05a2f7f116",
"sigmaType": "SLong",
"renderedValue": "24002001"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "06385aa76c60b83fe7e464fc0bca4b775803667910d1c002b22baf234fb9fe69",
"transactionId": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"value": 2000000,
"index": 2,
"globalIndex": 54439422,
"creationHeight": 1753374,
"settlementHeight": 1753376,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000001,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "277ff66411d75a833d394617e652f24cde159be9a2ca82fd5cd3fdacdf316803",
"mainChain": true
},
{
"boxId": "2a97b22670b097c7350a01675d2bd49819ebc074b428782a41a7ce248751cf56",
"transactionId": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"value": 2000000,
"index": 3,
"globalIndex": 54439423,
"creationHeight": 1753374,
"settlementHeight": 1753376,
"ergoTree": "0008cd024952b3b4d534b145986b630fedc0fbe5ab3ad17cf2b8149f25a648da363cffc9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4952b3,676d90,...)))}",
"address": "9f5MTHfHGpuKeprRJebQSsj8XBme8YTuTUPpKbaXo7N7qPVFzto",
"assets": [
{
"tokenId": "b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c",
"index": 0,
"amount": 3,
"name": "WID-feb9c-qPVFzto",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1e8bf25af6ed73821b068531039808a58cb30821009b30c49389789f7b2a9616",
"mainChain": true
},
{
"boxId": "a0307bf44b6fca2484f43304514f5c38b0371670904d3b1a6853791a0c250a20",
"transactionId": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"value": 18360560767,
"index": 4,
"globalIndex": 54439424,
"creationHeight": 1753374,
"settlementHeight": 1753376,
"ergoTree": "0008cd024952b3b4d534b145986b630fedc0fbe5ab3ad17cf2b8149f25a648da363cffc9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4952b3,676d90,...)))}",
"address": "9f5MTHfHGpuKeprRJebQSsj8XBme8YTuTUPpKbaXo7N7qPVFzto",
"assets": [
{
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"index": 0,
"amount": 60072,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 9087,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 2,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 3,
"amount": 7105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 4,
"amount": 21025,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1e8bf25af6ed73821b068531039808a58cb30821009b30c49389789f7b2a9616",
"mainChain": true
},
{
"boxId": "692e2c524dc1fe4ff561e8940fc84c12112bbac6c4c1950c881d2bee31ee7320",
"transactionId": "9dc6fedcb180baa72e509d35073a37846bcb4879a82f10bbcf5c9883ccc3bdc3",
"blockId": "86e53cccf575fc1e64f0265a1238af3acbcdbb0d211cdd1000d94bfdd9c33309",
"value": 2000000,
"index": 5,
"globalIndex": 54439425,
"creationHeight": 1753374,
"settlementHeight": 1753376,
"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": "a848c576008c179bb9df6cc2aaface4176cc508f48a28553bed0f732ac5f7fc5",
"mainChain": true
}
],
"size": 7993,
"isUnconfirmed": false
}