Transaction
ID: dcc0a13b40...1b88
Inputs (67)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
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Value:
1.26 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
11,537.71
Spent
Address:
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Value:
0.002 ERG
Tokens:
13.16
Spent
Address:
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Value:
0.002 ERG
Tokens:
2
Spent
Address:
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Value:
0.002 ERG
Tokens:
1
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Address:
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Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
33.16
Spent
Address:
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Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Value:
0.002 ERG
Tokens:
16.44
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
6
Spent
Address:
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Value:
0.002 ERG
Tokens:
2
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
11.88
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
11.02
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Settlement height:
Value:
0.002 ERG
Tokens:
3
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
2
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
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Address:
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Settlement height:
Value:
0.002 ERG
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4
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
5
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
6
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Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
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Settlement height:
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0.002 ERG
Tokens:
3
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
15.77
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
14.25
Spent
Address:
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Value:
0.002 ERG
Tokens:
4
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Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
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Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
8
Spent
Address:
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Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
9
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
33.71
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.94
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
10.05
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
9
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
6
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
531.66
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
12,390.88
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.39 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 557,427
Total coins transferred: 1.39 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000185 ERG
Raw Transaction Data
{
"id": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"inclusionHeight": 1209519,
"timestamp": 1709065834491,
"index": 28,
"globalIndex": 6705771,
"numConfirmations": 557427,
"inputs": [
{
"boxId": "ab909ede35905802ff54033b7034e1c57b18be0d989ac4522ffdd4003b42ac36",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "608df067d8c2cefd8c9585bef8572aedc5d25001facdaf8540eec94d253d43ed",
"outputTransactionId": "6175a8d0bfc3f57bb8d0963e4a1f40608519c90f1fcd8fa0e3aa1edf0897c93b",
"outputIndex": 0,
"outputGlobalIndex": 37273394,
"outputCreatedAt": 1209500,
"outputSettledAt": 1209506,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(44,-104,-93,-28,46,63,122,-102,19,47,-39,55,87,15,-92,-108,31,-47,-78,104,30,-76,95,115,-69,49,113,57,-102,-59,-27,88)\n3: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-28,-57,-100,-38,-76,5,70,-99,25,-105,4,70,-72,-64,115,-67,-125,43,80,-75,-124,44,-36,52,-80,-26,-30,64,-43,125,47,52)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d",
"index": 0,
"amount": 1,
"name": "rspv1RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 1,
"amount": 996422293877,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 3577706124,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"additionalRegisters": {}
},
{
"boxId": "9c5cdb56c78acdafb20f6f527e3fe35ba0e9baca3000017c16d095a5998b3c21",
"value": 2000000,
"index": 65,
"spendingProof": "4e7b7af91f029dc85e300563ac140a4d4ff4df7e41f18d8aed61ee43b9145e7395f775b00cd8cc7cdea82f9af66fe3481908c382d7581d06",
"outputBlockId": "51af698bd1f25177615b29f2bdebcfe721e7cce17bb7388ee6afee4f3d4d0801",
"outputTransactionId": "ffacc3c5e25355a9066dc6c9097fdafcbc7f069732e65ddcf97cf738d0c17c2c",
"outputIndex": 3,
"outputGlobalIndex": 36946424,
"outputCreatedAt": 1201382,
"outputSettledAt": 1201385,
"ergoTree": "0008cd02ed02332de84f5d17a6350171ebb2ea07842e535189a9f4f2a27dca2492f5ab19",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ed0233,eee2e7,...)))}",
"address": "9gKSagEbm8GqUVudm7KLvce36DS1EAudDrk3UcZvvGAMDVdiiGe",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 4797,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "f5f5e88ef39426238a497d333f5ef590205f85cdbb00eb2f4c32a5663986937d",
"value": 2000000,
"index": 66,
"spendingProof": "ad84431520a8405139ccad30eee632bdc87b40901c31608b7feb513494c822d9c67e75505c1a2e79aa709f2ff2214bca3d55d62e581e2c68",
"outputBlockId": "307fb8bb52e3f6f59f3bc98cee0f5250744a0e0ac366a74317d9b78618d9a920",
"outputTransactionId": "604466f0cbb8f65ee216a7da0dedcb6ce3eaec5caed62e13fdde7a1849e9fcc2",
"outputIndex": 3,
"outputGlobalIndex": 36912319,
"outputCreatedAt": 1200222,
"outputSettledAt": 1200225,
"ergoTree": "0008cd02ed02332de84f5d17a6350171ebb2ea07842e535189a9f4f2a27dca2492f5ab19",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ed0233,eee2e7,...)))}",
"address": "9gKSagEbm8GqUVudm7KLvce36DS1EAudDrk3UcZvvGAMDVdiiGe",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 531658,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9eb24dbb8adb49751f521a88ee4b103956ee4b63bcb42cd9653d4a72c22467ff",
"transactionId": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"value": 2000000,
"index": 0,
"globalIndex": 37274269,
"creationHeight": 1209514,
"settlementHeight": 1209519,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(44,-104,-93,-28,46,63,122,-102,19,47,-39,55,87,15,-92,-108,31,-47,-78,104,30,-76,95,115,-69,49,113,57,-102,-59,-27,88)\n3: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-28,-57,-100,-38,-76,5,70,-99,25,-105,4,70,-72,-64,115,-67,-125,43,80,-75,-124,44,-36,52,-80,-26,-30,64,-43,125,47,52)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = tuple7._1\n val coll16 = SELF.R6[Coll[Long]].get\n val tuple17 = coll6(placeholder[Int](9))\n val coll18 = tuple13._1\n val coll19 = box1.R4[Coll[Coll[Byte]]].get\n val coll20 = box1.R5[Coll[Long]].get\n val i21 = coll20.size\n val bool22 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n )\n )\n val coll23 = SELF.R5[Coll[Long]].get\n val i24 = coll23.size\n if (l8 > l10) {(\n val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l26 = l8 - l10\n val box27 = OUTPUTS(placeholder[Int](11))\n val box28 = OUTPUTS(placeholder[Int](12))\n val tuple29 = box27.tokens(placeholder[Int](13))\n val bool30 = allOf(\n Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i25 == placeholder[Int](15)) {(\n val i31 = i21 - placeholder[Int](16)\n val coll32 = SELF.id\n val box33 = OUTPUTS(placeholder[Int](17))\n val l34 = coll16(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n i31\n ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n coll32\n ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n Coll[Byte]\n ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n val tuple35 = box33.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n val coll32 = coll31(i25)\n val i33 = i25 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n placeholder[Int](30), i25\n ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n )\n )\n )\n )}\n )} else {(\n val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n val i26 = box1.R7[Int].get\n val l27 = l10 - l8\n val l28 = coll23(i26)\n sigmaProp(\n allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n val i29 = i26 + placeholder[Int](34)\n allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n )} else {(\n val i29 = i26 + placeholder[Int](37)\n allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n )}))\n )\n )}\n )}\n}",
"address": "LXwmG9jPiXvYd6Z1DWRazpc2wTdpW2awCB9NV5qjJx4UFoncqYxve6G1gzTVBNCsDwSu5ZPEi6LNLuPdzM1r9DUMgAzEfGghKeoGebPAyLCerZ8Us4ukQSJPj8j3TQY5JLZDqS2BRcPkmovmt7SZCKD95zoNgsitrYdmv2JhoC8Wmq7aM3DpwmhejCZ59n1ZYCAL7LsKw4zX45tH3sGLXxmeBNCCkcT2yxiziEAn2C3ybXqqab7cMhkoNdRMwXpUUpk3489kfyTY7SjbUPqPKhkH9veUS6H4U7a4HaEi7tPyueHTbjjQZjCZd5uGi5tC7jMvrgjYqByUG9PA9oeXHj89RxK5TPbbmkmsZVHVtdBzfHiexJh32LMszDRHuUc6YfisZKx9kNSSzadBdLbJUGHeCd8XaBg6w3e1uUBQDghpx2z44C2GZbAmUQSUQ2jqY8BBwEhtaxzZ69NK3dEjTFgsZ1R3nkbhbAu5Xs5fabBWZo6RvaPf8jTKRwKaNgQZrL93QV2JEZoapbRHCdvzaHHpBLr1p6nkDg2kB3rUTj6kmaabxswG8bSLAA9qYZhDCyh1QdSyUnd9T2o7qHybaoeEuqG1kEWYon4741ut8HCqbwEjKze6rDuEbnPUYzSr7kiwoPeV2GrdsVFRLgxwgHJoENgjUhj1VVKZB2q7n8S6smwf7CJyYZZCZGkg5bLpywJddmegJjk2FuLwA2VEmnrDKRGpFkhxBc2rbj974XgGcBZ66mPTtwrXUwjY9G5hUArtYs8WhsCDAH58yaHFFViaAhBNDQ3HBtFbXwh6b1osdv8zDSvncYXPx2iikhmf6TRC2DE2ENYtzhLHJmgyXmQkm7yXp6nWxJaeLnUuxRaWdxxQSPy1Wnm1GvKJYzRBhv9RdcmDnEgKs21ex5uSSdqJ4H53Qs6StxGyQ4HyjTjEVUxTbUZpnzvECgAufKkuSPyC2mYkKKGrzWmvv5sh6fyo4eAq9QnfXB9YMETMpJbx5dFpc6ZXYimSCfJbJfP1bpCe1hXkhTPWeZJ9aPX6HZEfu89ChZiX32MaSM3QnnUhRbSnzdQ2jVAtqqwjNN5SeNNvXNxS6B1UHj52TGvGrLnNUp4BWgNKAAwpBxAAB7wny9tUSXt6jHVnGHBG1vJWF7S9DeaVjKg3qR8j1bUsGqh9bVkarag4SREopK8cHwFpb2yFcdGERfaKHyekAUjVkhqySH3Vb8GiAdDbRArKV2ip4eveocsFwjoCD5i9rotksNysgi9RDjkApYm7aJegC79omCujHVYFpU6HtV2AhNVFRvVBG2xDW9YEKEm3RxrjoCttM6sFkbNX61CSiQ3LsBPvcd5Aix9NUESjbNxFwARZ75UgquvFddApn13yxSqfzVoE9L3eRnAMxd7KHudBWQsnDK",
"assets": [
{
"tokenId": "eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d",
"index": 0,
"amount": 1,
"name": "rspv1RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 1,
"amount": 996409902996,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 3590097005,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": 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"sigmaType": "Coll[SLong]",
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"sigmaType": "SInt",
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},
"spentTransactionId": "3ec905bbe3d2ad266ee95627c5900692c7223054fec1f9b9c2849154d5722b9c",
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},
{
"boxId": "10bdbcbc5a8841bfbd393b6154fdcaf16da5eb05c3774cee3f2dee87206eea26",
"transactionId": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"value": 2000000,
"index": 1,
"globalIndex": 37274270,
"creationHeight": 1209514,
"settlementHeight": 1209519,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 12390881,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "ffd0d6e813e195848349ae2b6f59f56c214a5e209729b8f4384648ae4d12b404",
"mainChain": true
},
{
"boxId": "482d27d8e82e9c6e2f9372068e3c2032bbc960538004d9593240296e1164732b",
"transactionId": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"value": 2000000,
"index": 2,
"globalIndex": 37274271,
"creationHeight": 1209514,
"settlementHeight": 1209519,
"ergoTree": "0008cd02ed02332de84f5d17a6350171ebb2ea07842e535189a9f4f2a27dca2492f5ab19",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ed0233,eee2e7,...)))}",
"address": "9gKSagEbm8GqUVudm7KLvce36DS1EAudDrk3UcZvvGAMDVdiiGe",
"assets": [
{
"tokenId": "8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
"index": 0,
"amount": 1,
"name": "WID-DVdiiGe",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ffd0d6e813e195848349ae2b6f59f56c214a5e209729b8f4384648ae4d12b404",
"mainChain": true
},
{
"boxId": "8c6a145addad3050d64655aaada87ffd852c55296fee9c8e62b3d997214a154e",
"transactionId": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"value": 1386665885,
"index": 3,
"globalIndex": 37274272,
"creationHeight": 1209514,
"settlementHeight": 1209519,
"ergoTree": "0008cd02ed02332de84f5d17a6350171ebb2ea07842e535189a9f4f2a27dca2492f5ab19",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ed0233,eee2e7,...)))}",
"address": "9gKSagEbm8GqUVudm7KLvce36DS1EAudDrk3UcZvvGAMDVdiiGe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ffd0d6e813e195848349ae2b6f59f56c214a5e209729b8f4384648ae4d12b404",
"mainChain": true
},
{
"boxId": "55828c000fbbec7f2c38f2ee2e8792e3eb3e97b0a1b2ce090d300d046557f386",
"transactionId": "dcc0a13b4054a567807659d2b110cc33a4334f0e6825794bd025fcfb57731b88",
"blockId": "f6460393a4f967f577516c74edf6f209375c4332ae8970cf93ead110a70219c1",
"value": 2000000,
"index": 4,
"globalIndex": 37274273,
"creationHeight": 1209514,
"settlementHeight": 1209519,
"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": "3796db707e0e81bbdc10669b2774a552532343fd4dc04db0b86e438ab94aea0c",
"mainChain": true
}
],
"size": 10792,
"isUnconfirmed": false
}