Transaction
ID: e635005950...45b6
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
28.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.565894557 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
38
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.563794557 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 130,769
Total coins transferred: 0.567894557 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000204 ERG
Raw Transaction Data
{
"id": "e6350059508e87beab5dd7a0a6cc20f34242609bbb577eea7ccfde9a313845b6",
"blockId": "1108c40a54049a96d55b86e36fa4668008258537c1c1870a864fb758bad058aa",
"inclusionHeight": 1641728,
"timestamp": 1761394193174,
"index": 18,
"globalIndex": 9683984,
"numConfirmations": 130769,
"inputs": [
{
"boxId": "5bd817bb31fbb2cf60a1c824cffa186753e2de901dfd443a7536dd1867761739",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1364f8705b787478ef691a649eaa935c171b3bd0fbfb564886e9a18c52fa141f",
"outputTransactionId": "f2f428e704906ae96426e556d2f5118e1d671456cfb6a8ca15806613b6e1bc60",
"outputIndex": 0,
"outputGlobalIndex": 51095131,
"outputCreatedAt": 1641298,
"outputSettledAt": 1641299,
"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(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: 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": "8b8c00d32d1176d0d3646581c90ef6d3ba0e372bfbc884699ed37f789de92131",
"index": 0,
"amount": 99997001,
"name": "DevfeesTest APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 10000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 12000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
"serializedValue": "1103f02e0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000,0,0]"
},
"R8": {
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"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 50,
"amount": 20997,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8c186719ec1adfa66abec47b53dceba662040a235cb60a32322307f5e1b7339b",
"transactionId": "e6350059508e87beab5dd7a0a6cc20f34242609bbb577eea7ccfde9a313845b6",
"blockId": "1108c40a54049a96d55b86e36fa4668008258537c1c1870a864fb758bad058aa",
"value": 1000000,
"index": 0,
"globalIndex": 51107647,
"creationHeight": 1641725,
"settlementHeight": 1641728,
"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(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: 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": [
{
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"index": 0,
"amount": 99997001,
"name": "DevfeesTest APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 10000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 8000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R6": {
"serializedValue": "1103f02e0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000,0,0]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SLong]",
"renderedValue": "[10,32]"
},
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"R4": {
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"sigmaType": "SInt",
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}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"blockId": "1108c40a54049a96d55b86e36fa4668008258537c1c1870a864fb758bad058aa",
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"index": 1,
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"ergoTree": "0008cd02118850c5e750eb911ff1c3110017def070d402d119e0ee92a6ebb4a08b5aa190",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(118850,3cb0ba,...)))}",
"address": "9eenMm7wMp9gCCJZxdwNpPLJmVteFwD35PnevYz9oATWUNfukzT",
"assets": [
{
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"index": 0,
"amount": 3800,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 2\n8: 3\n9: 4\n10: 32\n11: 100\n12: 5000000\n13: 5000000\n14: SigmaProp(ProveDlog(ECPoint(56b254,f723bc,...)))\n15: SigmaProp(ProveDlog(ECPoint(25bede,bb0a11,...)))\n16: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n17: 4\n18: 100\n19: SigmaProp(ProveDlog(ECPoint(5a9770,d3c928,...)))\n20: 1100000\n21: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n22: 5",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = if (opt1.isDefined) { opt1.get } else { Coll[Byte]() }\n val bool3 = coll2.size > placeholder[Int](0)\n val l4 = OUTPUTS.map({(box4: Box) => box4.value }).fold(placeholder[Long](1), {(tuple4: (Long, Long)) => tuple4._1 + tuple4._2 })\n val func5 = {(box5: Box) => if (bool3) {(\n val coll7 = box5.tokens.filter({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (coll7.size > placeholder[Int](2)) { coll7(placeholder[Int](3))._2 } else { placeholder[Long](4) }\n )} else { box5.value } }\n val box6 = OUTPUTS(placeholder[Int](5))\n val box7 = OUTPUTS(placeholder[Int](6))\n val box8 = OUTPUTS(placeholder[Int](7))\n val box9 = OUTPUTS(placeholder[Int](8))\n val box10 = OUTPUTS(placeholder[Int](9))\n val l11 = if (bool3) { func5(box6) + func5(box7) + func5(box8) + func5(box9) } else { l4 - box10.value }\n val l12 = placeholder[Long](10) * l11 / placeholder[Long](11)\n sigmaProp(\n allOf(\n Coll[Boolean](\n if (bool3) { l4 >= placeholder[Long](12) } else { l4 >= placeholder[Long](13) }, allOf(\n Coll[Boolean](\n (func5(box6) == l12) && (box6.propositionBytes == placeholder[SigmaProp](14).propBytes), (func5(box7) == l12) && (\n box7.propositionBytes == placeholder[SigmaProp](15).propBytes\n ), (func5(box8) == l12) && (box8.propositionBytes == placeholder[SigmaProp](16).propBytes), (\n func5(box9) == placeholder[Long](17) * l11 / placeholder[Long](18)\n ) && (box9.propositionBytes == placeholder[SigmaProp](19).propBytes)\n )\n ), allOf(\n Coll[Boolean](box10.value >= placeholder[Int](20).toLong, blake2b256(box10.propositionBytes) == placeholder[Coll[Byte]](21))\n ), OUTPUTS.size == placeholder[Int](22)\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 0,
"amount": 200,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2074b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"sigmaType": "Coll[SByte]",
"renderedValue": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "9ef0344468e6115eda1480cd5dc6c96115c94880bfd03fe4e1cbc62e29e36fb1",
"transactionId": "e6350059508e87beab5dd7a0a6cc20f34242609bbb577eea7ccfde9a313845b6",
"blockId": "1108c40a54049a96d55b86e36fa4668008258537c1c1870a864fb758bad058aa",
"value": 1100000,
"index": 3,
"globalIndex": 51107650,
"creationHeight": 1641725,
"settlementHeight": 1641728,
"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": "35cf4e91e71627e5e343c26b5364875501f472dd31dffc6ed857b5bcf28cbba1",
"mainChain": true
},
{
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"transactionId": "e6350059508e87beab5dd7a0a6cc20f34242609bbb577eea7ccfde9a313845b6",
"blockId": "1108c40a54049a96d55b86e36fa4668008258537c1c1870a864fb758bad058aa",
"value": 563794557,
"index": 4,
"globalIndex": 51107651,
"creationHeight": 1641725,
"settlementHeight": 1641728,
"ergoTree": "0008cd02118850c5e750eb911ff1c3110017def070d402d119e0ee92a6ebb4a08b5aa190",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(118850,3cb0ba,...)))}",
"address": "9eenMm7wMp9gCCJZxdwNpPLJmVteFwD35PnevYz9oATWUNfukzT",
"assets": [
{
"tokenId": "8b8c00d32d1176d0d3646581c90ef6d3ba0e372bfbc884699ed37f789de92131",
"index": 0,
"amount": 3000,
"name": "DevfeesTest APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 2571799,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 99898449,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "12ed87f072db466ae1fd8c49d66fd3a00b95fb1625a1b5fa06285d6dc3a1a3cd",
"index": 3,
"amount": 1000,
"name": "DevfeesTest3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3f377042616d2f1f90e8c35c3707fc989f0c1956bf0c4ef86d8b6411315110ba",
"index": 4,
"amount": 995398,
"name": "FirstToken",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0bbcb47021526a5f9e7fd21444fdd493a9ce5be5333b4c2b3aee16bb8d6cbf",
"index": 5,
"amount": 2000,
"name": "NEWTEST APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2841be1ddda7ff08f4b26f04f8dc8c8df5a6220f28889f38dbcbf17f15a9d7e5",
"index": 6,
"amount": 1,
"name": "TestGoldCat APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 600,
"name": "TestCATERG APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "06883fd38e7aa184371a9a179cf8e8415e24e0e63aeb1cedf0696509c0b9d0cd",
"index": 8,
"amount": 100000,
"name": "TestToken",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "b2388c4365413d0f032d90483d88faedb21085734f1a499f4298b673ea4d4761",
"index": 9,
"amount": 2,
"name": "TestFTErgo APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "081ec2b0c10b555f432edd52c39b3a381cf4bb1fcec06a455d7889ae8cc36655",
"index": 10,
"amount": 1,
"name": "TestFTSig APT",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 100,
"name": "TestErgAgain APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5f852de29c283d778472615c0c4a9788688106d47bb0866704c8e24ccf10c3a3",
"index": 12,
"amount": 1,
"name": "DecimalTest APT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5b298d5fc3d652251c22824a42823ee9861216b6ce76646bba41a831ee91652a",
"index": 13,
"amount": 600,
"name": "2decimalsTest APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "686fa1a17ed6d0b247cc90f6197e62b5cb10e73d827948dd6a5f2231da516af5",
"index": 14,
"amount": 1,
"name": "TestSig APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 100,
"name": "testagi APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 16,
"amount": 600,
"name": "NewTestProject APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 17,
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"name": "TestErgo APT",
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