Transaction
ID: 8e7d3a6c1a...4f71
Inputs (6)
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:
0.006 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0025 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0125 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 827,748
Total coins transferred: 0.0165 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000906 ERG
Raw Transaction Data
{
"id": "8e7d3a6c1a46b288032331598be98829562532f707e30dcbe639eb49a0994f71",
"blockId": "22e6181319d1cd740c20a8683049e0a752d7bc9a394c100b550aa0e3f641707b",
"inclusionHeight": 942216,
"timestamp": 1676626415337,
"index": 8,
"globalIndex": 4771746,
"numConfirmations": 827748,
"inputs": [
{
"boxId": "4aafd4ee3f7bfb801df9ebdfbb8c9bfb5e2dab16173d19a8860441c691e5c6ca",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9c2d623b9a9a00c7941628f74d3a7e80b7422080ead79513af0ba80158b3f42f",
"outputTransactionId": "204f75f33b3c4b95af51392399ef4b4bd4fb0b50daa4fcd252d0b1f5640f026c",
"outputIndex": 51,
"outputGlobalIndex": 26634734,
"outputCreatedAt": 942207,
"outputSettledAt": 942209,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "7bbbba0a40f88dda85057d6e94e97f30643762222b7d58c11c340893e7a54bdb",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9c2d623b9a9a00c7941628f74d3a7e80b7422080ead79513af0ba80158b3f42f",
"outputTransactionId": "277ff4faa07bc4d2cad8abb6dcc5c3004c7e8c8bea73c9caae20bea12f16f682",
"outputIndex": 51,
"outputGlobalIndex": 26634788,
"outputCreatedAt": 942207,
"outputSettledAt": 942209,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "f990d57970b84a20f4ed671d3e6f0284085fb3f30d2ecfd95fcd18c0185ef548",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1dedcb606ef5db74ed26d282b39dc8d21c05b1db66a1430156bae03fdd71c4f5",
"outputTransactionId": "b19301cdcbe8e3a6da76e7670baed696dd399ef2a1b031b375c3766bdf5c8523",
"outputIndex": 51,
"outputGlobalIndex": 26635074,
"outputCreatedAt": 942207,
"outputSettledAt": 942210,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "7256eb9f0dc697eb353b5a8ddea91426ac0c30a7363dfd537a77b23cdf8f7f12",
"value": 6000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "9203c5baa51dc4475000ad45d507d9f1d8f813bb33abb49e107fce94b9a56c52",
"outputTransactionId": "a667c4d8fa270b835f4c24358609aac48721db2ba08709379365f2f2a2968541",
"outputIndex": 0,
"outputGlobalIndex": 26635101,
"outputCreatedAt": 942209,
"outputSettledAt": 942211,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "0c1ef205bcfd462cb8035f3db8b4730bb016155c1e34be651391a4906d83f46c",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "8533f69851e9bc3e8b1ab421eb2a604337079b54c28196bfd5e0d72fd315cd74",
"outputTransactionId": "45dd9e38a54aec701706091d1538476a6ed822bbdfe95e6bc9cbb81092cb9e19",
"outputIndex": 51,
"outputGlobalIndex": 26635449,
"outputCreatedAt": 942210,
"outputSettledAt": 942214,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "15070b27711096ff8422eeeed3ee52b9c6393c2868027e6afef736ad09d659c7",
"value": 2500000,
"index": 5,
"spendingProof": null,
"outputBlockId": "8533f69851e9bc3e8b1ab421eb2a604337079b54c28196bfd5e0d72fd315cd74",
"outputTransactionId": "4a6df8e5729ea75798fa1322f4bdb1be66e3f5fad7fdabdcbbab1fd02a0a8662",
"outputIndex": 29,
"outputGlobalIndex": 26635983,
"outputCreatedAt": 942210,
"outputSettledAt": 942214,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "7f01caca6b9e0289651bd21dbf9e2d13ea7541fd7b9444957e415de99d2b9968",
"transactionId": "8e7d3a6c1a46b288032331598be98829562532f707e30dcbe639eb49a0994f71",
"blockId": "22e6181319d1cd740c20a8683049e0a752d7bc9a394c100b550aa0e3f641707b",
"value": 12500000,
"index": 0,
"globalIndex": 26636010,
"creationHeight": 942214,
"settlementHeight": 942216,
"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(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n10: 3\n11: 0\n12: 0\n13: Coll(-98,94,94,10,58,-69,-82,-81,14,84,-31,-30,-54,74,106,-106,-55,-73,21,29,-42,-41,-35,-81,115,-117,-30,-7,-102,84,-36,43)\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(-87,71,-121,-48,94,-17,-67,27,119,59,98,-127,33,35,-71,28,64,85,59,-43,-19,127,48,-110,-82,102,-37,-93,-8,18,-32,-64)\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(102,-55,-60,32,76,-98,-5,114,19,-121,93,-57,5,-74,93,43,81,-92,108,-53,-110,96,115,-45,-119,-79,85,105,-47,-46,78,-109)\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": "4e997c5304c8d5aac483516ceab95214010cfb1da0b693adf9a2ebffbd89a6be",
"mainChain": true
},
{
"boxId": "22afce761791c8584870977476c00433cde9bb359dd2396c491e3cada3df6f7b",
"transactionId": "8e7d3a6c1a46b288032331598be98829562532f707e30dcbe639eb49a0994f71",
"blockId": "22e6181319d1cd740c20a8683049e0a752d7bc9a394c100b550aa0e3f641707b",
"value": 3000000,
"index": 1,
"globalIndex": 26636011,
"creationHeight": 942214,
"settlementHeight": 942216,
"ergoTree": "0008cd0332135335dcd09bc45704ad1a297e5a9a31ba444a8fe47b9fd219568f75016036",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(321353,98a1d6,...)))}",
"address": "9gqroW8kuaRBHEQ4YzXGUALnbbkw57GdQxU2zTXiHrqCievbTqX",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d01c89781a2c660148cb9b28de0daececc04b0cfa37444c648e83c363b85ba06",
"mainChain": true
},
{
"boxId": "904f835f859f799c4634609649fccf0603499ffa0e7466cb3b9bf44e48ab3b3e",
"transactionId": "8e7d3a6c1a46b288032331598be98829562532f707e30dcbe639eb49a0994f71",
"blockId": "22e6181319d1cd740c20a8683049e0a752d7bc9a394c100b550aa0e3f641707b",
"value": 1000000,
"index": 2,
"globalIndex": 26636012,
"creationHeight": 942214,
"settlementHeight": 942216,
"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": "35ffd93dfbc23ef0a452b9e4d56dd5f2dea77bc345ec37336bfc188d0a790f62",
"mainChain": true
}
],
"size": 1104,
"isUnconfirmed": false
}