Transaction
ID: 2826bba442...b01e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
80
Spent
Address:
Output transaction:
Settlement height:
Value:
0.787555914 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
20
999,980.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
20
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.785455914 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 140,869
Total coins transferred: 0.789555914 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000228 ERG
Raw Transaction Data
{
"id": "2826bba4424d99e6fdd35dbe0cb24d5d0dcf0e71df90c4740e88e4621930b01e",
"blockId": "b0a061e9de4ea3573e858c1b62327f72acaa7e233d278a4fe98d360e0542dfb9",
"inclusionHeight": 1624200,
"timestamp": 1759270135674,
"index": 6,
"globalIndex": 9547965,
"numConfirmations": 140869,
"inputs": [
{
"boxId": "a79ae98d0d39b07be593218274bb52babf0aab506dca1214649c3014676cf007",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "87cdc0a22a9ba9af5bbbb9bd20d28bf05e015925a5940c3c76aad8d2fd03cbf5",
"outputTransactionId": "d91ab471e7aa2fad196b4f1f6f21eebe94fb8d5447b84a25a7faf0d21ffd6ba2",
"outputIndex": 0,
"outputGlobalIndex": 50555149,
"outputCreatedAt": 1624196,
"outputSettledAt": 1624198,
"ergoTree": "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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(7f2658,f96bf6,...)))\n42: 1\n43: 2\n44: 0\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(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n63: 0\n64: 0\n65: 0\n66: 0\n67: 0\n68: 1\n69: false\n70: 1\n71: 0\n72: 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) { box46.value == l51 } else {(\n val coll55 = box46.tokens.filter({(tuple55: (Coll[Byte], Long)) => tuple55._1 == coll5 })\n if (coll55.size > placeholder[Int](63)) { coll55(placeholder[Int](64))._2 } else { placeholder[Long](65) } == l51\n )}\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (bool53 && (bool3 || (bool23 && (l52 < placeholder[Long](66))))), bool36, bool19, bool22, bool53, bool42)\n ), bool47, l52 < placeholder[Long](67), l54 <= l28\n )\n ), if (INPUTS.size == placeholder[Int](68)) { placeholder[Boolean](69) } else {\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool53, bool42)), func44((prop45, INPUTS(placeholder[Int](70)))), l52 > placeholder[Long](71)\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](72))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "ef0bbcb47021526a5f9e7fd21444fdd493a9ce5be5333b4c2b3aee16bb8d6cbf",
"index": 0,
"amount": 99998001,
"name": "NEWTEST APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 2000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 2000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05e807",
"sigmaType": "SLong",
"renderedValue": "500"
},
"R6": {
"serializedValue": "1103a01f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,0,0]"
},
"R8": {
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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(7f2658,f96bf6,...)))\n42: 1\n43: 2\n44: 0\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(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n63: 0\n64: 0\n65: 0\n66: 0\n67: 0\n68: 1\n69: false\n70: 1\n71: 0\n72: 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) { box46.value == l51 } else {(\n val coll55 = box46.tokens.filter({(tuple55: (Coll[Byte], Long)) => tuple55._1 == coll5 })\n if (coll55.size > placeholder[Int](63)) { coll55(placeholder[Int](64))._2 } else { placeholder[Long](65) } == l51\n )}\n )\n ), allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool14 || (bool53 && (bool3 || (bool23 && (l52 < placeholder[Long](66))))), bool36, bool19, bool22, bool53, bool42)\n ), bool47, l52 < placeholder[Long](67), l54 <= l28\n )\n ), if (INPUTS.size == placeholder[Int](68)) { placeholder[Boolean](69) } else {\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool14, bool36, bool19, bool22, bool53, bool42)), func44((prop45, INPUTS(placeholder[Int](70)))), l52 > placeholder[Long](71)\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](72))\n )\n )\n )\n )\n )\n )\n}",
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"assets": [
{
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"additionalRegisters": {
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"sigmaType": "SLong",
"renderedValue": "500"
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