Transaction
ID: f51c0fb5bd...8219
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 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:
0.0085 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.018 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: 313,458
Total coins transferred: 0.0215 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000935 ERG
Raw Transaction Data
{
"id": "f51c0fb5bd5cd241c5820f36705e1aa73c14dae3425c1ace700b2cd29f228219",
"blockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"inclusionHeight": 1454693,
"timestamp": 1738735443762,
"index": 30,
"globalIndex": 8549298,
"numConfirmations": 313458,
"inputs": [
{
"boxId": "10f1b64df8f1b7c8a8e70b7a49ead1dc3c1d88ee252c6f60e8cd24a3abd9bbab",
"value": 5000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "42633263d21b1559647a5f98008d590d51d05d35e487cea4f5fa41654ecea1ad",
"outputTransactionId": "5c994e79d2d596ea05619ec8f3dce51a063abadd3e8c3b328db137f30cd92785",
"outputIndex": 4,
"outputGlobalIndex": 46116950,
"outputCreatedAt": 1454690,
"outputSettledAt": 1454692,
"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": "da376a026481c304535c9572af436131ba68c23f36dcbbe360ffaf43217639d3",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"outputTransactionId": "62f5d2319e1b05735f62103841cfe0335b6b4fa571fe42e895e488700d61960a",
"outputIndex": 51,
"outputGlobalIndex": 46117007,
"outputCreatedAt": 1454690,
"outputSettledAt": 1454693,
"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": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKD6d2w7ZQULwcQgRmVc7y1q7x6HeoKrGf7Z3aQm8VzmdZwpDQbehYMjBPRY3RXwM8R7pL7m6cAo9hJx7L7WeFnXzFrHh3FRg4Ad5vpytgUe7xdLSDeXJkHbLM6aivndMW7yVWVTcT7Urdz2wiKRs7kDcrC7JmSGtvRpttPCnmGk65YAP7cmcSjT3zNnu9dxebuFV4KCzJNQfRmhnVrfigjbaDQav4xA9CyVj5evuWZCLMKhaXh2pq8EU2NxhwbYJnACUx4A2ovPnaybSpzLnHQrYitynUWosm8achGDP3qXWJzy152UmXiQ2LKiKXjYz9LBcHGBVS82b8bT8ffKnkeRsokTm6fStaRa7EcxNc8LHZe1VcepLC7acPAxhfNccni1kgbD7UrPfr6cs48Pm9TK9fBsmhf6YmRo4yaS9QoJr3Bieqse6BuhEXom7a4VZbTESSoj9hhqcJH1MbtqQTZRfeHcf8XWtiY8SA7nxsCgASzLECKm7tG795ew8XP5UUspaTuhBdHXxz5na6EeZxmgf87yyKmGZFNoyTEgvByHoq3Vp66RLuuFrpWm5KP2zHdVmN2KQ8eB21fakQgES4tYCRN5axZZdXdMyzeuyjF4e4XEdj4MzKUyu79iLysHGaJnzMoWNuhUH8EHQAnkvTq3bxaTdkimESS9yLa7urm75HtrV3vj42TqXEK4b1jEzmeR9HTkxF5t71Y4vFphnUvTC88gausfE7Jp5LuJef84jfkXaELxowLS7pTWffTPuaJ9exWYVJE2XsaPm7PMcaF6pX2wDZERwUoY9Q7mTVNx3XGeTf2zgGDUfZdrpSVHkvs5ZuLXvqV5dYASfbbDF5dbSmqmLenos9JjdEqpwrM4qYCjrCrHrrxX4dppV7H7LAJgfEvUzbK7VxhcACx5A2vuZBvvcBHGaXmHYN5eZFhEDrF6wxToXsR94BBmZ4BiRLBuW",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "83b7891ccca8ef1c33bcfa74b1af7d94348ff5b41612fd8fff9e860db6407f51",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"outputTransactionId": "0cb790bbe34d28cb8dca37d90785844407d75c89ae31fd10cc1b44323f68e924",
"outputIndex": 51,
"outputGlobalIndex": 46117061,
"outputCreatedAt": 1454691,
"outputSettledAt": 1454693,
"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": "0a123eecc92417fe8ead9609c9701013c2c079715d9a480a1dd63f13b19d6893",
"value": 8500000,
"index": 3,
"spendingProof": null,
"outputBlockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"outputTransactionId": "03b14fc482b21e34f5b50eaf3b47afcd8e510d43a752e12e19a71e4b51c0f814",
"outputIndex": 51,
"outputGlobalIndex": 46117115,
"outputCreatedAt": 1454691,
"outputSettledAt": 1454693,
"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": {}
},
{
"boxId": "765723bd173fda0377c077a4fef06a02e737999ca443cbd20bc47af6e2997679",
"value": 4000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"outputTransactionId": "d36e93d1199c314d3c2d320f8f2efa19d7f10a6efa127899dfdb1841e7df7c3a",
"outputIndex": 37,
"outputGlobalIndex": 46117314,
"outputCreatedAt": 1454691,
"outputSettledAt": 1454693,
"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": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "09689c3e680b9c83e1dcb948742e85343919de7b2b45f2d973536e1f01bcef14",
"transactionId": "f51c0fb5bd5cd241c5820f36705e1aa73c14dae3425c1ace700b2cd29f228219",
"blockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"value": 18000000,
"index": 0,
"globalIndex": 46117322,
"creationHeight": 1454691,
"settlementHeight": 1454693,
"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": {},
"spentTransactionId": "626024f75175e4ec5cf7409122cfa72b8bef44dca3bea5e1cfe53cd315348391",
"mainChain": true
},
{
"boxId": "58810d69cf1f00ab3d5bc733dadfa18560d260a884047fe6eba3b1afb8660556",
"transactionId": "f51c0fb5bd5cd241c5820f36705e1aa73c14dae3425c1ace700b2cd29f228219",
"blockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"value": 2500000,
"index": 1,
"globalIndex": 46117323,
"creationHeight": 1454691,
"settlementHeight": 1454693,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "32783c40768092b2daaf57b1c3ef71128e85f527fbfbcbbde25849d101adc75d",
"mainChain": true
},
{
"boxId": "8b88c127fdb1dc635486fb066fef1f558ee0d018142947d7cbdaec98264a4040",
"transactionId": "f51c0fb5bd5cd241c5820f36705e1aa73c14dae3425c1ace700b2cd29f228219",
"blockId": "d2069bd9154f099aaaef344306ee3b7dcb37f82b339f5de00d1035b4d5857a48",
"value": 1000000,
"index": 2,
"globalIndex": 46117324,
"creationHeight": 1454691,
"settlementHeight": 1454693,
"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": "f9d3f88c6d509580e6aba2ac8167ccc7406219fa9f4cf2f35f712fc51cc6a760",
"mainChain": true
}
],
"size": 1070,
"isUnconfirmed": false
}