Transaction
ID: b6b662619f...14a2
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000,000.01
Spent
Address:
Output transaction:
Settlement height:
Value:
0.570094557 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
100
1,000,000.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.568994557 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 136,019
Total coins transferred: 0.571094557 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000232 ERG
Raw Transaction Data
{
"id": "b6b662619ff5e29f0b67af7893603f9f6b8d514bf48af4e2f7388d04fe1214a2",
"blockId": "88f42c3c87a1c410433aeb02168962f0ef12598f054ffca6f5c448817893968b",
"inclusionHeight": 1641290,
"timestamp": 1761337786083,
"index": 4,
"globalIndex": 9680901,
"numConfirmations": 136019,
"inputs": [
{
"boxId": "899a8bdc2c582b109ef4f3c8d305f9e4475b83c3feb9b2ba5b71c9ad9f926bcb",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a66be07e55a06de490335baa35ba85752f8c36c8af9562cbe4871da882136951",
"outputTransactionId": "31f6132a8a914cc701137e621ee5e9cf6fcc21f7ee7dd08e27e12e9b0dacdcfd",
"outputIndex": 0,
"outputGlobalIndex": 51094695,
"outputCreatedAt": 1641286,
"outputSettledAt": 1641289,
"ergoTree": "1966040400040004000e203ab42f791cc9c08a6d8ea73fcf9143691e97e1ebb0e216025af6639a79a8a70cd803d601b2db6308a7730000d602b2a5730100d603b2db63087202730200d196830201ed938c7201018c720301938c7201028c720302937303cbc27202",
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"ergoTreeScript": "{\n val tuple1 = SELF.tokens(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val tuple3 = box2.tokens(placeholder[Int](2))\n sigmaProp(allOf(Coll[Boolean]((tuple1._1 == tuple3._1) && (tuple1._2 == tuple3._2), placeholder[Coll[Byte]](3) == blake2b256(box2.propositionBytes))))\n}",
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{
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"name": "FinalTest APT",
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"type": "EIP-004"
}
],
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},
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{
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{
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{
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{
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{
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],
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],
"dataInputs": [],
"outputs": [
{
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"transactionId": "b6b662619ff5e29f0b67af7893603f9f6b8d514bf48af4e2f7388d04fe1214a2",
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"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: Coll(116,-75,35,-42,3,97,-24,44,66,18,-126,-125,-107,122,-20,126,1,-2,95,-26,-30,-101,101,70,100,93,63,126,22,-77,-71,42)\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 1\n15: 2\n16: 2\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 0\n26: 1\n27: 2\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 0\n34: 0\n35: 0\n36: 0\n37: 1\n38: 127\n39: 3\n40: 2\n41: SigmaProp(ProveDlog(ECPoint(118850,3cb0ba,...)))\n42: 1\n43: 2\n44: 5\n45: 100\n46: 1100000\n47: 0\n48: 1\n49: 0\n50: 1\n51: true\n52: 1\n53: Coll(-86,89,37,58,10,-99,117,-42,88,-18,-57,-82,-38,-112,-13,80,103,91,46,30,-52,-2,-18,-47,126,83,-128,-10,25,96,60,113)\n54: 2\n55: 2\n56: 3\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: Coll(22,-58,101,-89,92,-128,47,26,119,96,50,1,-100,56,-42,-49,-69,117,5,78,63,52,69,106,-52,-87,-109,106,-7,-23,-8,118)\n63: true\n64: 0\n65: 0\n66: 0\n67: 0\n68: 0\n69: 1\n70: false\n71: 1\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = SELF.R7[Coll[Long]].get\n val coll5 = if (coll4(placeholder[Int](1)) == placeholder[Long](2)) { Coll[Byte]() } else { placeholder[Coll[Byte]](3) }\n val bool6 = coll5.size == placeholder[Int](4)\n val tuple7 = coll1(placeholder[Int](5))\n val box8 = OUTPUTS(placeholder[Int](6))\n val coll9 = box8.tokens\n val tuple10 = coll9(placeholder[Int](7))\n val i11 = SELF.R4[Int].get\n val l12 = SELF.R5[Long].get\n val bool13 = SELF.propositionBytes == box8.propositionBytes\n val bool14 = (\n (\n (\n ((((tuple7._1 == tuple10._1) && (i11 == box8.R4[Int].get)) && (l12 == box8.R5[Long].get)) && (coll4 == box8.R7[Coll[Long]].get)) && (\n SELF.R8[Coll[Byte]].get == box8.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box8.R9[Coll[Byte]].get)\n ) && bool13\n ) && if (bool6) {(\n val i14 = coll9.size\n (i14 == placeholder[Int](8)) || (i14 == placeholder[Int](9))\n )} else {(\n val i14 = coll9.size\n ((i14 == placeholder[Int](10)) || (i14 == placeholder[Int](11))) || (i14 == placeholder[Int](12))\n )}\n val coll15 = SELF.R6[Coll[Long]].get\n val l16 = coll15(placeholder[Int](13))\n val coll17 = box8.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val bool19 = l16 == l18\n val l20 = coll15(placeholder[Int](15))\n val l21 = coll17(placeholder[Int](16))\n val bool22 = l20 == l21\n val bool23 = coll9.size == placeholder[Int](17)\n val bool24 = if (bool3) { placeholder[Long](18) } else { coll1(placeholder[Int](19))._2 } == if (bool23) { placeholder[Long](20) } else {\n coll9(placeholder[Int](21))._2\n }\n val l25 = tuple7._2\n val l26 = tuple10._2\n val l27 = l25 - l26\n val l28 = {(box28: Box) =>\n val coll30 = box28.tokens\n val coll31 = box28.R6[Coll[Long]].get\n if (coll30.size == placeholder[Int](22)) { placeholder[Long](23) } else { coll30(placeholder[Int](24))._2 } - coll31(placeholder[Int](25)) + coll31(\n placeholder[Int](26)\n ) + coll31(placeholder[Int](27))\n }(SELF)\n val func29 = {(box29: Box) => if (bool6) { box29.value } else {(\n val coll31 = box29.tokens.filter({(tuple31: (Coll[Byte], Long)) => tuple31._1 == coll5 })\n if (coll31.size > placeholder[Int](28)) { coll31(placeholder[Int](29))._2 } else { placeholder[Long](30) }\n )} }\n val l30 = func29(box8)\n val l31 = func29(SELF)\n val l32 = coll4(placeholder[Int](31))\n val l33 = coll17(placeholder[Int](32))\n val l34 = coll15(placeholder[Int](33))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l26 - l25\n val l38 = l18 - l16\n val l39 = SELF.value\n val l40 = box8.value\n val l41 = if (bool6) { if (bool13) { l39 - l40 } else { l39 } } else { l31 - if (bool13) { l30 } else { placeholder[Long](34) } }\n val bool42 = l25 == l26\n val bool43 = l34 >= l12\n val func44 = {(tuple44: (SigmaProp, Box)) =>\n val coll46 = tuple44._2.propositionBytes\n val coll47 = tuple44._1.propBytes\n if (coll46(placeholder[Int](35)).toInt == placeholder[Int](36)) { coll46 == coll47 } else {(\n val i48 = coll46.size\n coll47.slice(placeholder[Int](37), coll47.size) == coll46.slice(\n if (i48 > placeholder[Int](38)) { placeholder[Int](39) } else { placeholder[Int](40) }, i48\n )\n )}\n }\n val prop45 = placeholder[SigmaProp](41)\n val box46 = OUTPUTS(placeholder[Int](42))\n val bool47 = func44((prop45, box46))\n val box48 = OUTPUTS(placeholder[Int](43))\n val l49 = l41 * placeholder[Int](44).toLong / placeholder[Long](45)\n val l50 = l41 - l49\n val l51 = if (bool6) { l50 - placeholder[Int](46).toLong } else { l50 }\n val l52 = if (bool23) { placeholder[Long](47) } else { coll9(placeholder[Int](48))._2 } - if (bool3) { placeholder[Long](49) } else {\n coll1(placeholder[Int](50))._2\n }\n val bool53 = l39 == l40\n val l54 = !l52\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](51) } else { coll1(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53) } && if (bool6) {\n bool3 || (i2 == placeholder[Int](54))\n } else { (bool3 || (i2 == placeholder[Int](55))) || (i2 == placeholder[Int](56)) }\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool19, bool22, bool24)), l27 <= l28, l30 - l31 == l27 * l32, allOf(\n Coll[Boolean](l27 == l35, l35 > placeholder[Long](57))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool22, bool24)), (HEIGHT > i11) && (l34 < l12), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](58))\n ), l31 - l30 == l37 * l32\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (if (bool6) { l41 == l39 } else { l41 == l31 } && bool3), bool36, bool19, bool22, bool42, bool24)\n ), bool43, bool47, allOf(Coll[Boolean](if (bool6) { box48.value == l49 } else {(\n val coll55 = box48.tokens.filter({(tuple55: (Coll[Byte], Long)) => tuple55._1 == coll5 })\n if (coll55.size > placeholder[Int](59)) { coll55(placeholder[Int](60))._2 } else { placeholder[Long](61) } == l49\n )}, placeholder[Coll[Byte]](62) == blake2b256(box48.propositionBytes), if (bool6) { placeholder[Boolean](63) } else {(\n val opt55 = box48.R4[Coll[Byte]]\n opt55.isDefined && (opt55.get == coll5)\n )})), if (bool6) { box46.value == l51 } else {(\n val coll55 = box46.tokens.filter({(tuple55: (Coll[Byte], Long)) => tuple55._1 == coll5 })\n if (coll55.size > placeholder[Int](64)) { coll55(placeholder[Int](65))._2 } else { placeholder[Long](66) } == l51\n )}\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (bool53 && (bool3 || (bool23 && (l52 < placeholder[Long](67))))), bool36, bool19, bool22, bool53, bool42)\n ), bool47, l52 < placeholder[Long](68), l54 <= l28\n )\n ), if (INPUTS.size == placeholder[Int](69)) { placeholder[Boolean](70) } else {\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool53, bool42)), func44((prop45, INPUTS(placeholder[Int](71)))), l52 > placeholder[Long](72)\n )\n )\n }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14 || (bool53 && bool3), bool36, bool19, bool53)), bool43, l37 == l21 - l20, allOf(\n Coll[Boolean](l37 == l54, l37 > placeholder[Long](73))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "4ee47b8d7d03e8a6ebef5d7ee96ae52048ec4ae9e54cd40b2d3e2452357c8327",
"index": 0,
"amount": 100000001,
"name": "FinalTest APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 10000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R8": {
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