Transaction
ID: 637a901d40...cc8a
Inputs (81)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.41 ERG
Tokens:
Loading assets...
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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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Value:
0.002 ERG
Tokens:
1
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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:
2
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Address:
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Value:
0.002 ERG
Tokens:
1
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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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Value:
0.002 ERG
Tokens:
1
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Address:
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Value:
0.002 ERG
Tokens:
3
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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
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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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Value:
0.002 ERG
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1
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0.002 ERG
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1
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0.002 ERG
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3
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0.002 ERG
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2
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0.002 ERG
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1
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0.002 ERG
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1
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
12.06
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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
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3
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0.002 ERG
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1
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0.002 ERG
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5
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0.002 ERG
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4
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0.002 ERG
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3
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0.002 ERG
Tokens:
1
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0.002 ERG
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1
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0.002 ERG
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1
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Address:
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0.002 ERG
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3
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
3
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Value:
0.002 ERG
Tokens:
3
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0.002 ERG
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1
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Address:
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0.002 ERG
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3
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0.002 ERG
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2
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0.002 ERG
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3
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0.002 ERG
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4
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0.002 ERG
Tokens:
1
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0.002 ERG
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1
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0.002 ERG
Tokens:
3
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Value:
0.002 ERG
Tokens:
1
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Address:
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0.002 ERG
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3
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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
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Address:
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0.002 ERG
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4
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Value:
0.002 ERG
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3
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0.002 ERG
Tokens:
1
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Value:
0.002 ERG
Tokens:
5
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Address:
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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:
1
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Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
3
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Value:
0.002 ERG
Tokens:
4
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Value:
0.002 ERG
Tokens:
3
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Settlement height:
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0.002 ERG
Tokens:
3
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Settlement height:
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0.002 ERG
Tokens:
1
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Address:
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Value:
0.002 ERG
Tokens:
3
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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
Tokens:
1
Spent
Address:
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Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.96
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
8
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:
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:
1
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:
3
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:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
82.71
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.65
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2,954.79
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:
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.57 ERG
Tokens:
250.49
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 599,714
Total coins transferred: 1.57 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000166 ERG
Raw Transaction Data
{
"id": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"inclusionHeight": 1169747,
"timestamp": 1704253197261,
"index": 3,
"globalIndex": 6392642,
"numConfirmations": 599714,
"inputs": [
{
"boxId": "acabc9880a3f14501ae2736c65fff467e2eee9f3e0b0bceb15bf1cb795c559f6",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "95b07f06b98ee95830b03d7319db3848a0525acca5e149cb0ef089d85ede049f",
"outputTransactionId": "60b3b4886086b3e2fbc785a4d276558456521b3a7c31dd3132228bd64017c58f",
"outputIndex": 0,
"outputGlobalIndex": 35705383,
"outputCreatedAt": 1169721,
"outputSettledAt": 1169724,
"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": 994878488897,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"spendingProof": "37fa931bfeb3bb5ec7b1c2ab773f166d842cfbaf1e4f4792481b8e3c754cba58d72f8bc22749fbf75629ec69e6a473cbc8fc25d0acc11e37",
"outputBlockId": "90ac2279c8f878ba94dd88f3481a111ed2d96e477940d3243819d3afc9e5df48",
"outputTransactionId": "8814dba8ad957eccb534bae9cc467e8d5262864b340180221aa7f075684e2c5e",
"outputIndex": 3,
"outputGlobalIndex": 35517846,
"outputCreatedAt": 1167217,
"outputSettledAt": 1167219,
"ergoTree": "0008cd02f6e45c29592160268c65b739bd528374073e1f75aad5d4d15bc76c5fff1b0d6c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f6e45c,52c50a,...)))}",
"address": "9gPo3JqB5DxZE1vZ4Xn668HcK2jGmMa7o7Erf7wFStMRvGw9Yb3",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 1088,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "410bfbd831b8acc92398445cf6860c5d3638adc7d3a03e807c7420a60cf3d7f8",
"value": 2000000,
"index": 79,
"spendingProof": "8d9f75903414b91f9cb5f14ab2812118d3edf79e0be1580e7562cafc4f99cd66f98ea419ae5da5f5bc61700361b2b70304b1f9cfc03b9552",
"outputBlockId": "ac6af4c64cb0d35efbe0558aa7fbc481826d1eeb4f5dd1ecdc190143e3209f19",
"outputTransactionId": "d0c98881a672fc7ba6f4b2ea46cd9a178db67f75304631defa19a948f7d51ba4",
"outputIndex": 3,
"outputGlobalIndex": 35453556,
"outputCreatedAt": 1165623,
"outputSettledAt": 1165625,
"ergoTree": "0008cd02f6e45c29592160268c65b739bd528374073e1f75aad5d4d15bc76c5fff1b0d6c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f6e45c,52c50a,...)))}",
"address": "9gPo3JqB5DxZE1vZ4Xn668HcK2jGmMa7o7Erf7wFStMRvGw9Yb3",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 11652,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0855c58d1b99f630b689216942764f69e9679de47726bad3d0f004307c709ec3",
"value": 2000000,
"index": 80,
"spendingProof": "d48dc96355bb247a34e1554008b27c6b720b35e07bb16a878667dd632dd1ca2ded625b1f09cd05197ac1f207c046df12832e508e67b7ba7d",
"outputBlockId": "7b307d4b3acfcc52e95ffb80fad42e64ced540b5225f1fa6a03d622760b65f4c",
"outputTransactionId": "313b2025a67154706ab01ae0cb74f24edccb0c0ff73b69335dcbdc5a7cddc782",
"outputIndex": 3,
"outputGlobalIndex": 35429086,
"outputCreatedAt": 1165220,
"outputSettledAt": 1165222,
"ergoTree": "0008cd02f6e45c29592160268c65b739bd528374073e1f75aad5d4d15bc76c5fff1b0d6c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f6e45c,52c50a,...)))}",
"address": "9gPo3JqB5DxZE1vZ4Xn668HcK2jGmMa7o7Erf7wFStMRvGw9Yb3",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 2954794,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "84448e3599a6f667bb3f506ae512fb5b4c5bc06eaae31c006e1d365e65df4425",
"transactionId": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"value": 2000000,
"index": 0,
"globalIndex": 35705838,
"creationHeight": 1169745,
"settlementHeight": 1169747,
"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": 994875488897,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 5124511104,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": 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"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
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"sigmaType": "SInt",
"renderedValue": "65"
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},
"spentTransactionId": "511b4c8172ffbd0212bcc6a09a0a2e25b0d511342051a379f00099aa3011c975",
"mainChain": true
},
{
"boxId": "b15e5e938c55b976e420888e018033057144fc394d21714ea871d9f4d7703fdd",
"transactionId": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"value": 2000000,
"index": 1,
"globalIndex": 35705839,
"creationHeight": 1169745,
"settlementHeight": 1169747,
"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": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "b211ef2c3ac31ab1dcc2f9fef81ee0ebee275ef537a0c2fbcc8699e76c9fb649",
"mainChain": true
},
{
"boxId": "1872a58aa5cf2c37ff7a47bb458d66b710b8c15ef2a8ba14ad7ea91deb8734e8",
"transactionId": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"value": 2000000,
"index": 2,
"globalIndex": 35705840,
"creationHeight": 1169745,
"settlementHeight": 1169747,
"ergoTree": "0008cd02f6e45c29592160268c65b739bd528374073e1f75aad5d4d15bc76c5fff1b0d6c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f6e45c,52c50a,...)))}",
"address": "9gPo3JqB5DxZE1vZ4Xn668HcK2jGmMa7o7Erf7wFStMRvGw9Yb3",
"assets": [
{
"tokenId": "7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
"index": 0,
"amount": 1,
"name": "WID-vGw9Yb3",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b211ef2c3ac31ab1dcc2f9fef81ee0ebee275ef537a0c2fbcc8699e76c9fb649",
"mainChain": true
},
{
"boxId": "ccea54737509468cfb0399632523a909f91049a4ee51e783a7f800908a71f7a4",
"transactionId": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"value": 1566737903,
"index": 3,
"globalIndex": 35705841,
"creationHeight": 1169745,
"settlementHeight": 1169747,
"ergoTree": "0008cd02f6e45c29592160268c65b739bd528374073e1f75aad5d4d15bc76c5fff1b0d6c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f6e45c,52c50a,...)))}",
"address": "9gPo3JqB5DxZE1vZ4Xn668HcK2jGmMa7o7Erf7wFStMRvGw9Yb3",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 250494,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b211ef2c3ac31ab1dcc2f9fef81ee0ebee275ef537a0c2fbcc8699e76c9fb649",
"mainChain": true
},
{
"boxId": "0ba8fb11b8c90c5bd5c905cab9026601847310a156641d5f830b2c4451a82a58",
"transactionId": "637a901d401cf5d82addb8f163cd5de0263f3508c26e60458390aa36e0c0cc8a",
"blockId": "5f63aa5e67f5ccbbf3ea8431b1b64af07a2b29d8b0406fb6f3f9218f9ab2574d",
"value": 2000000,
"index": 4,
"globalIndex": 35705842,
"creationHeight": 1169745,
"settlementHeight": 1169747,
"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": "7070dc6ea4ba67a2b8916d4b9d7ea24a9f06fd3cf3702dc5d3f8ec0eecb1b2ba",
"mainChain": true
}
],
"size": 12062,
"isUnconfirmed": false
}