Transaction
ID: fa2d528be8...d5f2
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0035 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0035 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0095 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0025 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 747,024
Total coins transferred: 0.013 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000935 ERG
Raw Transaction Data
{
"id": "fa2d528be880fffa977e9bca36ec55f599a1332d2911ddf1e7dc2c20ed70d5f2",
"blockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"inclusionHeight": 1010454,
"timestamp": 1684909534073,
"index": 16,
"globalIndex": 5257212,
"numConfirmations": 747024,
"inputs": [
{
"boxId": "1a5120b703cae3cc40839aa387d5637dbed6bfd0eae625840ad8100e129eefd0",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0974b3558b2a09abd041cd95069968aea3ecfac3263646e81f5da5c948245766",
"outputTransactionId": "e99edfcadcd49587a65d5c160e43a65d952df1a8fc63c35fa3aa15fe0348c17b",
"outputIndex": 51,
"outputGlobalIndex": 29363844,
"outputCreatedAt": 1009717,
"outputSettledAt": 1009721,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "39a0997603bb569b6cee2d75edc98be72ae4cce4a6783aee451ebccf39e3c64f",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "0974b3558b2a09abd041cd95069968aea3ecfac3263646e81f5da5c948245766",
"outputTransactionId": "cfc55989d979b8f846713d7c3abd97f5df2a07b606c33383e00f4400d68880ee",
"outputIndex": 51,
"outputGlobalIndex": 29363898,
"outputCreatedAt": 1009717,
"outputSettledAt": 1009721,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "a29b8aa38eff82a64fd5ddaf85016500d5a178ea16a60bc604ac403987da6c82",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"outputTransactionId": "80f71072f944584f17ea3baebed8f42a917dc90c35e5f7e1836667bb4538cd4c",
"outputIndex": 51,
"outputGlobalIndex": 29394800,
"outputCreatedAt": 1010450,
"outputSettledAt": 1010454,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "a0f2580cc0213eb8071668e26b723f21f9cf6b2a5f136791ea5c458dec962bb3",
"value": 3500000,
"index": 3,
"spendingProof": null,
"outputBlockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"outputTransactionId": "e777279f9f583a38d7698a3b54dd4437cfa09cfe30d9e6416be868d5c9a9a3ce",
"outputIndex": 51,
"outputGlobalIndex": 29394910,
"outputCreatedAt": 1010450,
"outputSettledAt": 1010454,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "ac3e984b25e68dce9cb90e14957e990b54dcea0f9db7cbec9a891bd1e4b213f7",
"value": 3500000,
"index": 4,
"spendingProof": null,
"outputBlockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"outputTransactionId": "8213fd3e6c5cb56ab399904bed3f783bd24af750dbd6b130dd89889a3d1997a8",
"outputIndex": 51,
"outputGlobalIndex": 29395079,
"outputCreatedAt": 1010450,
"outputSettledAt": 1010454,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "424c0d912db1ec2bef4d4812a65c1558c71e71b0600a0464420782e85cdd5159",
"transactionId": "fa2d528be880fffa977e9bca36ec55f599a1332d2911ddf1e7dc2c20ed70d5f2",
"blockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"value": 9500000,
"index": 0,
"globalIndex": 29395093,
"creationHeight": 1010450,
"settlementHeight": 1010454,
"ergoTree": "102f048084af5f04060400040205c0843d04040580897a010005000e200e4202196f6030ab1986e39012dc95ea10f034b13d90a70c0b1f86d986106ff60406040004000e20097fd281c99588269d672e1b686bf6bcdce04102e183b2242f6634d93869fc0a0404040004020100040805809bee020580897a0580897a040a05809bee02040c0580897a0100040004020400040004000e20012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d109139392361304000402010005c0843d05e0a7120580897a05c09a0c040404020100040004000e20436f8f48a3650c7be728e2a331e9a6e818c31f27163ee6e5257fcfd2d8423dc30100d80ad601c1a7d60295968302019072017e73000593b1a57301d802d602b2a5730200d603c2a7968303019683020191c17202720193c27202720393c1b2a57303009c73047eb1b5a4d901046393c2720472030593c1b2a573050073067307d603b1a4d60486028300027308d6057309d606c2a7d6079595927203730a96830301938cb2db6308b2a4730b00730c01720401730d938cb2db6308b2a4730e00730f01720401720593c5b2a4997203731000c5a77311d801d607b2a5731200968303019683020192c17207999999720173137314731593c27207720693c1b2a5731600731793c1b2a57318007319731ad608b2a4731b00d609997203731cd60a9596830201938cb2db63087208731d01720401720593c5b2a4720900c5a7d805d60ab1b5a4d9010a63d801d60cdb6308720a9591b1720c731e96830201938cb2720c731f0001732093b2e4c6720a0411732100b2e4c6720804117322007323d60bb2a5720900d60c7e720a05d60d9a73249c7325720cd60e9a73269c7327720c968304019372039a720a73289683020192c1720b99997201720d720e93c2720b720693c1b2a5720300720d93c1b2a59a7203732900720e732ad1ececec72027207720a95efecec72027207720a938cb2db6308b2a5732b00732c0001732d732e",
"ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
"ergoTreeScript": "{\n val l1 = SELF.value\n val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n val box2 = OUTPUTS(placeholder[Int](2))\n val coll3 = SELF.propositionBytes\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n {(box4: Box) => box4.propositionBytes == coll3 }\n ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n )\n )\n )} else { placeholder[Boolean](7) }\n val i3 = INPUTS.size\n val tuple4 = (Coll[Byte](), placeholder[Long](8))\n val coll5 = placeholder[Coll[Byte]](9)\n val coll6 = SELF.propositionBytes\n val bool7 = if (if (i3 >= placeholder[Int](10)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n placeholder[Int](14)\n ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n )\n )\n } else { placeholder[Boolean](17) }) {(\n val box7 = OUTPUTS(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n placeholder[Int](22)\n ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n )\n )\n )} else { placeholder[Boolean](26) }\n val box8 = INPUTS(placeholder[Int](27))\n val i9 = i3 - placeholder[Int](28)\n val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n val i10 = INPUTS.filter({(box10: Box) =>\n val coll12 = box10.tokens\n if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n }).size\n val box11 = OUTPUTS(i9)\n val l12 = i10.toLong\n val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n allOf(\n Coll[Boolean](\n i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n i3\n ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n )\n )\n )} else { placeholder[Boolean](42) }\n sigmaProp(\n ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n } else { placeholder[Boolean](46) }\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "092caa11308ab1fe396a00df47ecd1471bbe7f94da6bd8f1c147503046cd0061",
"mainChain": true
},
{
"boxId": "232d93384b4d236d3dd1d7b9f030f0e1d186d23944f03fae7e42afa3140a40ad",
"transactionId": "fa2d528be880fffa977e9bca36ec55f599a1332d2911ddf1e7dc2c20ed70d5f2",
"blockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"value": 2500000,
"index": 1,
"globalIndex": 29395094,
"creationHeight": 1010450,
"settlementHeight": 1010454,
"ergoTree": "0008cd025e01206ce380a745acae8aaa70ea38d2056e2c2142b00ebbe5fc1e730f50da91",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5e0120,bea79a,...)))}",
"address": "9fETjNHYaMW7fu7U1MJ6KwPwo6EJSSQXsC2KzTpVBjyzNLt4wda",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "203201d7c8607c0fec93fa7229cf9409dd775ea90a947c8afe5ec8f6f478e0ea",
"mainChain": true
},
{
"boxId": "ada5efc1ce13f343df2c8208c5ffffb2f5198b3e82df068ea7dce76c7533ddb0",
"transactionId": "fa2d528be880fffa977e9bca36ec55f599a1332d2911ddf1e7dc2c20ed70d5f2",
"blockId": "8648fe5a550de51404ba352ecb07f8e2e8d1a0fa50ca77c22216e4395415b466",
"value": 1000000,
"index": 2,
"globalIndex": 29395095,
"creationHeight": 1010450,
"settlementHeight": 1010454,
"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": "09c31ca2206ef2639d0fdf1c3b25611b16ce7bb580502990458aadfafd54d6dc",
"mainChain": true
}
],
"size": 1070,
"isUnconfirmed": false
}