Transaction
ID: a3fa9c3778...aa53
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0032 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000156 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 591,341
Total coins transferred: 0.003722 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000809 ERG
Raw Transaction Data
{
"id": "a3fa9c3778c27cd06a40c93a2ea79ebb44a0f5e4fd10d9aaa6ca8a393a14aa53",
"blockId": "0d2e4a3e862884fa27028d955ac5de6b8009ce6f999dba8a3831e03e7794b1e1",
"inclusionHeight": 1165973,
"timestamp": 1703796968463,
"index": 1,
"globalIndex": 6343915,
"numConfirmations": 591341,
"inputs": [
{
"boxId": "eeff00128874cd82609c2333c70d3eb6087b4a0b6d116650d4f7d2d1bd44233d",
"value": 522000,
"index": 0,
"spendingProof": null,
"outputBlockId": "62946f2d1b1f983749a26dafd59eaa25d2ecf9c4419010e27d0cb0e7070b396b",
"outputTransactionId": "afae5d16007a7d693d0dea3605d0405523deb66437fca6c6c2ebe04101df1d9e",
"outputIndex": 0,
"outputGlobalIndex": 35455246,
"outputCreatedAt": 1165667,
"outputSettledAt": 1165669,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 5\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 3\n30: 0\n31: 0\n32: 9223372036854775807\n33: 0\n34: 0\n35: 1\n36: CBigInt(1)\n37: 0\n38: 0\n39: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](1))\n val coll5 = SELF.R4[Coll[Int]].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val tuple8 = coll2(placeholder[Int](2))\n val tuple9 = coll3(placeholder[Int](3))\n val tuple10 = coll2(placeholder[Int](4))\n val tuple11 = coll3(placeholder[Int](5))\n val tuple12 = coll2(placeholder[Int](6))\n val tuple13 = coll3(placeholder[Int](7))\n val coll14 = tuple13._1\n val tuple15 = coll2(placeholder[Int](8))\n val tuple16 = coll3(placeholder[Int](9))\n val coll17 = tuple16._1\n val l18 = tuple11._2\n val l19 = tuple10._2 - l18\n val l20 = tuple9._2\n val i21 = coll5(placeholder[Int](10))\n val i22 = HEIGHT - i21 + placeholder[Int](11)\n val i23 = coll5(placeholder[Int](12))\n val i24 = i22 / i23\n val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n val i26 = coll5(placeholder[Int](15))\n val l27 = i26.toLong\n val l28 = l6 / l27\n val l29 = tuple12._2 - tuple13._2\n val l30 = tuple16._2\n val l31 = tuple15._2 - l30\n sigmaProp(\n (\n (\n (\n (\n (coll2(placeholder[Int](16)) == tuple4) && (\n (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n )\n ) && (box1.propositionBytes == SELF.propositionBytes)\n ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n ) && (coll2.size == placeholder[Int](17))\n ) && if (l19 > placeholder[Long](18)) {(\n val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n val box33 = OUTPUTS(placeholder[Int](20))\n (\n (\n (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n l19 == !l29\n )\n ) && (l32 == !l31)\n ) && (\n (\n (\n ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n (coll17, l32) == box33.tokens(placeholder[Int](25))\n )\n ) && box33.R6[SigmaProp].isDefined\n ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n )\n )} else {\n if (l19 < placeholder[Long](26)) {\n (\n (\n (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n )\n ) && (l29 == !l19)\n ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n } else {(\n val i32 = box1.R7[Int].get\n val i33 = i26 - i32\n val l34 = i33.toLong\n val l35 = placeholder[Long](32) - l30 - l18 * l34\n if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n (\n (\n ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n )\n ) && (l19 == placeholder[Long](37))\n ) && (l29 == placeholder[Long](38))\n } else { placeholder[Boolean](39) }\n )}\n }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "feb3a5c4b30fbe82ae316465c343169fcf3c0db6bc821902be4928270289f6eb",
"index": 0,
"amount": 1,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
"index": 1,
"amount": 25000000006,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "879c71d7d9ad213024962824e7f6f225b282dfb818326b46e80e155a11a90544",
"index": 2,
"amount": 1748677147383,
"name": "ERG_Paideia_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c85c422d8c52d002144c0d5e8c6e982849eac936c16be2bc8e386ce790c07093",
"index": 3,
"amount": 9223370288177628000,
"name": "",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f82384ac4dc7a19dcd82e608ec86d47b56f0077876841e4f18d12bd3762e31b4",
"index": 4,
"amount": 9223309084497848000,
"name": "",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1004a00be802d6cc8101a00b",
"sigmaType": "Coll[SInt]",
"renderedValue": "[720,180,1061675,720]"
},
"R5": {
"serializedValue": "058088a5a9a307",
"sigmaType": "SLong",
"renderedValue": "125000000000"
},
"R6": {
"serializedValue": "059003",
"sigmaType": "SLong",
"renderedValue": "200"
},
"R7": {
"serializedValue": "04a002",
"sigmaType": "SInt",
"renderedValue": "144"
}
}
},
{
"boxId": "a6ace4d9ac3b0335fb278640493935d6e5dda3ad9fada76bfb16164244d4eb04",
"value": 3200000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7487024eb3f8ccbcda4dd1d3021c73a5bdb0f7b5f75869b0eb088fc4693e736f",
"outputTransactionId": "69bd7493eccba5b9dc8962ad15a4c08585ddbbcc8e2114fea637af70dbb1f008",
"outputIndex": 0,
"outputGlobalIndex": 35469004,
"outputCreatedAt": 1165969,
"outputSettledAt": 1165971,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-2,-77,-91,-60,-77,15,-66,-126,-82,49,100,101,-61,67,22,-97,-49,60,13,-74,-68,-126,25,2,-66,73,40,39,2,-119,-10,-21)\n2: Coll(0,8,-51,2,39,77,-9,90,-60,-68,-91,-116,-5,-117,-18,-17,69,-62,46,-78,-46,-50,-70,3,40,108,75,103,23,-88,-65,-119,124,105,-61,-111)\n3: SigmaProp(ProveDlog(ECPoint(274df7,a30f0e,...)))\n4: 2\n5: 5\n6: 1\n7: 2\n8: 0\n9: 0\n10: 9223372036854775806\n11: 0\n12: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n13: 3\n14: 0\n15: 4\n16: 35\n17: 1\n18: 1\n19: 2\n20: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n21: 0\n22: 0\n23: 2000000\n24: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val coll3 = placeholder[Coll[Byte]](2)\n placeholder[SigmaProp](3) || sigmaProp(if ((INPUTS.size >= placeholder[Int](4)) && (box1.tokens.size == placeholder[Int](5))) {(\n val coll4 = box1.tokens\n val box5 = OUTPUTS(placeholder[Int](6))\n val coll6 = box1.id\n val box7 = OUTPUTS(placeholder[Int](7))\n val l8 = SELF.tokens(placeholder[Int](8))._2\n (((coll4(placeholder[Int](9))._1 == coll2) && ((box5.propositionBytes == coll3) && ((coll6, placeholder[Long](10)) == box5.tokens(placeholder[Int](11))))) && ((((((blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](12)) && (box7.R6[SigmaProp].get.propBytes == coll3)) && (box7.R7[Coll[Byte]].get == coll2)) && ((coll4(placeholder[Int](13))._1, l8) == box7.tokens(placeholder[Int](14)))) && ((coll4(placeholder[Int](15))._1, l8 * placeholder[Int](16).toLong) == box7.tokens(placeholder[Int](17)))) && ((coll6, placeholder[Long](18)) == box7.tokens(placeholder[Int](19))))) && (OUTPUTS.map({(box9: Box) => if (box9.propositionBytes == placeholder[Coll[Byte]](20)) { box9.value } else { placeholder[Long](21) } }).fold(placeholder[Long](22), {(tuple9: (Long, Long)) => tuple9._1 + tuple9._2 }) <= placeholder[Long](23))\n )} else { placeholder[Boolean](24) })\n}",
"address": "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",
"assets": [
{
"tokenId": "879c71d7d9ad213024962824e7f6f225b282dfb818326b46e80e155a11a90544",
"index": 0,
"amount": 201982697512,
"name": "ERG_Paideia_LP",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "a42194050d498afc2f961fa157a4e1a36e81eb14e9321098e5c9fad0359e1f78",
"transactionId": "a3fa9c3778c27cd06a40c93a2ea79ebb44a0f5e4fd10d9aaa6ca8a393a14aa53",
"blockId": "0d2e4a3e862884fa27028d955ac5de6b8009ce6f999dba8a3831e03e7794b1e1",
"value": 522000,
"index": 0,
"globalIndex": 35469036,
"creationHeight": 1165971,
"settlementHeight": 1165973,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n val bi13 = placeholder[BigInt](7)\n sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n val opt17 = box1.R8[Int]\n val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n val coll19 = coll9(placeholder[Int](11))._1\n val coll20 = box15.tokens\n val tuple21 = coll9(placeholder[Int](12))\n val l22 = tuple21._2\n val l23 = i18.toLong\n val l24 = l22 - l23 * tuple10._2\n val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n val tuple26 = coll20(placeholder[Int](16))\n (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n val tuple26 = box14.tokens(placeholder[Int](22))\n (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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{
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}
],
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}