Transaction
ID: f56f674b21...a319
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
25 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
25 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Confirmations: 1,187,668
Total coins transferred: 25.01 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000619 ERG
Raw Transaction Data
{
"id": "f56f674b21d3fee79bbe545b04a6e104a3473a1e1d40ccc8bb82e744fd1aa319",
"blockId": "c6254749d32ca1f71a8bff7c9169a9e5a9b399dc468055cd19695772f3b25179",
"inclusionHeight": 576897,
"timestamp": 1631603759811,
"index": 4,
"globalIndex": 1782329,
"numConfirmations": 1187668,
"inputs": [
{
"boxId": "b85bd939fc72225c70b37b70d399dbaab361fe82dfd1071e215f03e7ab0f29f3",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "880dba4ca8d3a79f2bc226e396913286240a9bbf189691ced0e2c2f89e2de58e",
"outputTransactionId": "bc7bbeed2d734d55b89471a1b66f35048dece2fd515e77049b6f895538102889",
"outputIndex": 0,
"outputGlobalIndex": 7148171,
"outputCreatedAt": 574752,
"outputSettledAt": 574755,
"ergoTree": "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",
"ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 4\n11: 5\n12: 5\n13: 1\n14: 0\n15: 1\n16: 0\n17: 0\n18: Coll(120,113,-116,55,59,66,27,-121,14,-60,-71,-37,-57,-72,30,-79,-97,112,-32,-124,-123,-2,98,-62,89,49,42,-47,-34,-113,85,9)\n19: 1\n20: 1\n21: 1500000\n22: 0\n23: 1\n24: 2\n25: 3\n26: 0\n27: 1\n28: 1\n29: 100\n30: 100\n31: 1\n32: 2\n33: Coll(20,107,87,-80,71,-3,59,-69,86,-120,122,-84,113,-70,-113,-40,-12,-49,-42,42,15,-122,125,81,-66,-106,53,2,27,-100,-43,-81)\n34: 0\n35: 15\n36: 0\n37: 0\n38: 1500000\n39: 0\n40: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n41: 1\n42: 1\n43: Coll(-9,-13,-8,36,27,-73,117,-67,81,4,43,-67,-49,54,-64,-72,-22,31,-14,59,-24,123,-17,-58,-73,103,4,-71,40,-85,-86,53)\n44: 0\n45: 0\n46: 1500000",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Long]].get\n val l2 = coll1(placeholder[Int](0))\n val box3 = OUTPUTS(placeholder[Int](1))\n val opt4 = SELF.R5[Coll[Byte]]\n val opt5 = SELF.R7[Coll[Byte]]\n val coll6 = box3.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](2))\n val l8 = coll1(placeholder[Int](3))\n val l9 = coll6(placeholder[Int](4))\n val l10 = coll1(placeholder[Int](5))\n val l11 = coll6(placeholder[Int](6))\n val l12 = coll1(placeholder[Int](7))\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll1(placeholder[Int](9))\n val l15 = coll6(placeholder[Int](10))\n val l16 = coll1(placeholder[Int](11))\n val l17 = coll6(placeholder[Int](12))\n val l18 = l16 * l12\n val coll19 = opt4.get\n val coll20 = opt5.get\n val bi21 = l16.toBigInt\n if (HEIGHT.toLong < l2) {(\n val coll22 = box3.tokens\n val coll23 = SELF.tokens\n val box24 = OUTPUTS(placeholder[Int](13))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](14))\n val l27 = tuple26._2\n val tuple28 = coll23(placeholder[Int](15))\n val l29 = box3.value\n val l30 = SELF.value\n val coll31 = box24.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll22(placeholder[Int](16))._1 == coll23(placeholder[Int](17))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n Coll[Byte]\n ] == opt4, box3.R6[Coll[Coll[Byte]]] == SELF.R6[Coll[Coll[Byte]]], box3.R7[\n Coll[Byte]\n ] == opt5, l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16 + l27, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](\n 18\n ), coll25.size == placeholder[Int](19), tuple26._1 == tuple28._1, tuple28._2 == coll22(\n placeholder[Int](20)\n )._2 + l27, l29 > l30, box24.value >= placeholder[Long](21), l29 == l30 + l27 * l12, box24.R4[Coll[Byte]].isDefined, coll31(\n placeholder[Int](22)\n ) == l16, coll31(placeholder[Int](23)) == l17, coll31(placeholder[Int](24)) == l2, coll31(placeholder[Int](25)) == l12\n )\n )\n )\n )} else { if (l18 >= l14) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](26))\n val coll23 = box3.tokens\n val coll24 = SELF.tokens\n val tuple25 = coll23(placeholder[Int](27))\n val tuple26 = coll24(placeholder[Int](28))\n val l27 = l18 * l8 / placeholder[Long](29)\n val l28 = l18 * l10 / placeholder[Long](30)\n val box29 = OUTPUTS(placeholder[Int](31))\n val box30 = OUTPUTS(placeholder[Int](32))\n sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](33), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]].get == coll19, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll20, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box22.id.slice(placeholder[Int](34), placeholder[Int](35))) % bi21 + bi21 % bi21, coll23(placeholder[Int](36))._1 == coll24(placeholder[Int](37))._1, tuple25._1 == tuple26._1, tuple25._2 == tuple26._2, box3.value == l18 - l27 - l28 + placeholder[Long](38), box29.propositionBytes == coll19, box29.value == l27, box30.propositionBytes == coll20, box30.value == l28, box22.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), box22.creationInfo._1.toLong > l2)))\n )} else {(\n val coll22 = box3.tokens\n val coll23 = SELF.tokens\n val tuple24 = coll22(placeholder[Int](41))\n val tuple25 = coll23(placeholder[Int](42))\n sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](43), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]] == opt4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]] == opt5, coll22(placeholder[Int](44))._1 == coll23(placeholder[Int](45))._1, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, box3.value == SELF.value - placeholder[Long](46))))\n )} }\n}",
"address": "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",
"assets": [
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "451537b9ee5dbbe49063bdb4416c1960cbc683601daf38290d32ebccb0819357",
"index": 1,
"amount": 1000000000,
"name": "Raffle_token: RESTORING MAU FOREST IN KENYA",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1106b4010a8094ebdc0380f8e0cde105facc4800",
"sigmaType": "Coll[SLong]",
"renderedValue": "[90,5,500000000,99000000000,594749,0]"
},
"R5": {
"serializedValue": "0e240008cd0239836de64da27f8309deb58f6f2471dfa5059b58d08274dbe347e68453585709",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0239836de64da27f8309deb58f6f2471dfa5059b58d08274dbe347e68453585709"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524553544f52494e47204d415520464f5245535420494e204b454e5941,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,451537b9ee5dbbe49063bdb4416c1960cbc683601daf38290d32ebccb0819357]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
}
},
{
"boxId": "0c5a32d2c0321d24f205567166e2f29774830121708740a6256acdfdc23acab4",
"value": 25003000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "558b570ee2f51799aa71d4276174e1057b59f22ac4cbd3b18c6ea7ffd09b9ccd",
"outputTransactionId": "792419c2bff6c15f46a87e3c967d0080caa5a59f7146111d50d7b5838eaf31ed",
"outputIndex": 0,
"outputGlobalIndex": 7242957,
"outputCreatedAt": 576891,
"outputSettledAt": 576895,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,2,66,-55,36,122,-13,-118,-12,-11,-127,-62,90,-107,-15,44,81,0,-6,94,-56,-113,-41,66,-82,-88,47,44,-34,-55,-32,56,-35,-59)\n3: 0\n4: 1\n5: Coll(69,21,55,-71,-18,93,-69,-28,-112,99,-67,-76,65,108,25,96,-53,-58,-125,96,29,-81,56,41,13,50,-21,-52,-80,-127,-109,87)\n6: 0\n7: 50\n8: 0\n9: 0\n10: 1500000\n11: Coll(0,8,-51,2,66,-55,36,122,-13,-118,-12,-11,-127,-62,90,-107,-15,44,81,0,-6,94,-56,-113,-41,66,-82,-88,47,44,-34,-55,-32,56,-35,-59)\n12: 25003000000\n13: 594749\n14: 2",
"ergoTreeScript": "{\n val i1 = OUTPUTS.size\n if (i1 > placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n sigmaProp(\n (\n (box2.R4[Coll[Byte]].get == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5))\n ) && (box2.tokens(placeholder[Int](6))._2 == placeholder[Long](7))\n )\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](8))\n val l3 = INPUTS.fold(placeholder[Long](9), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value })\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.value >= l3 - placeholder[Long](10), box2.propositionBytes == placeholder[Coll[Byte]](11), (l3 < placeholder[Long](12)) || (\n HEIGHT.toLong > placeholder[Long](13)\n ), i1 == placeholder[Int](14)\n )\n )\n )\n )}\n}",
"address": "27Mtg4JHioSJE5sREBAnrZ4UD1bSLRXvnv5ztRLKssKoSzyXcP4SW25yJmckm71PTB8dkgwhJZUbPhtggaV2BXYE9mUgYskSsCLj2qLnd1YyrZij3rTgTtUSSBLBMgdiMtDZUBBZUBpoqX9VAAyjsy3mRc4k71Pff7CkW6ZPWArdq9L89FRodnniSumvBFp7RdjNTZFFn1ERjKg3gtNSRXcgJorS84xwYZmhHMTJZKRcuim75BAZHeWwCXU1Lh79kZ1ZWKmRTZvjYYi4WaCrtqR8mbsDfpBPAjZpqTPBNibG4gZ4vvfpa2bKfHVNiDXUmVpS4GD8UwU631jAPrnHkvoBKKJfTuvqdbSnrsUfCkUfSvXyFMHM9VYpoj9sDQ13K",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "e4e06f59fa89953169bfe7a27898234cd9db6029169deff0741b37f59ea5c976",
"transactionId": "f56f674b21d3fee79bbe545b04a6e104a3473a1e1d40ccc8bb82e744fd1aa319",
"blockId": "c6254749d32ca1f71a8bff7c9169a9e5a9b399dc468055cd19695772f3b25179",
"value": 25003000000,
"index": 0,
"globalIndex": 7242986,
"creationHeight": 576895,
"settlementHeight": 576897,
"ergoTree": "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",
"ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 4\n11: 5\n12: 5\n13: 1\n14: 0\n15: 1\n16: 0\n17: 0\n18: Coll(120,113,-116,55,59,66,27,-121,14,-60,-71,-37,-57,-72,30,-79,-97,112,-32,-124,-123,-2,98,-62,89,49,42,-47,-34,-113,85,9)\n19: 1\n20: 1\n21: 1500000\n22: 0\n23: 1\n24: 2\n25: 3\n26: 0\n27: 1\n28: 1\n29: 100\n30: 100\n31: 1\n32: 2\n33: Coll(20,107,87,-80,71,-3,59,-69,86,-120,122,-84,113,-70,-113,-40,-12,-49,-42,42,15,-122,125,81,-66,-106,53,2,27,-100,-43,-81)\n34: 0\n35: 15\n36: 0\n37: 0\n38: 1500000\n39: 0\n40: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n41: 1\n42: 1\n43: Coll(-9,-13,-8,36,27,-73,117,-67,81,4,43,-67,-49,54,-64,-72,-22,31,-14,59,-24,123,-17,-58,-73,103,4,-71,40,-85,-86,53)\n44: 0\n45: 0\n46: 1500000",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Long]].get\n val l2 = coll1(placeholder[Int](0))\n val box3 = OUTPUTS(placeholder[Int](1))\n val opt4 = SELF.R5[Coll[Byte]]\n val opt5 = SELF.R7[Coll[Byte]]\n val coll6 = box3.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](2))\n val l8 = coll1(placeholder[Int](3))\n val l9 = coll6(placeholder[Int](4))\n val l10 = coll1(placeholder[Int](5))\n val l11 = coll6(placeholder[Int](6))\n val l12 = coll1(placeholder[Int](7))\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll1(placeholder[Int](9))\n val l15 = coll6(placeholder[Int](10))\n val l16 = coll1(placeholder[Int](11))\n val l17 = coll6(placeholder[Int](12))\n val l18 = l16 * l12\n val coll19 = opt4.get\n val coll20 = opt5.get\n val bi21 = l16.toBigInt\n if (HEIGHT.toLong < l2) {(\n val coll22 = box3.tokens\n val coll23 = SELF.tokens\n val box24 = OUTPUTS(placeholder[Int](13))\n val coll25 = box24.tokens\n val tuple26 = coll25(placeholder[Int](14))\n val l27 = tuple26._2\n val tuple28 = coll23(placeholder[Int](15))\n val l29 = box3.value\n val l30 = SELF.value\n val coll31 = box24.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll22(placeholder[Int](16))._1 == coll23(placeholder[Int](17))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n Coll[Byte]\n ] == opt4, box3.R6[Coll[Coll[Byte]]] == SELF.R6[Coll[Coll[Byte]]], box3.R7[\n Coll[Byte]\n ] == opt5, l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16 + l27, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](\n 18\n ), coll25.size == placeholder[Int](19), tuple26._1 == tuple28._1, tuple28._2 == coll22(\n placeholder[Int](20)\n )._2 + l27, l29 > l30, box24.value >= placeholder[Long](21), l29 == l30 + l27 * l12, box24.R4[Coll[Byte]].isDefined, coll31(\n placeholder[Int](22)\n ) == l16, coll31(placeholder[Int](23)) == l17, coll31(placeholder[Int](24)) == l2, coll31(placeholder[Int](25)) == l12\n )\n )\n )\n )} else { if (l18 >= l14) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](26))\n val coll23 = box3.tokens\n val coll24 = SELF.tokens\n val tuple25 = coll23(placeholder[Int](27))\n val tuple26 = coll24(placeholder[Int](28))\n val l27 = l18 * l8 / placeholder[Long](29)\n val l28 = l18 * l10 / placeholder[Long](30)\n val box29 = OUTPUTS(placeholder[Int](31))\n val box30 = OUTPUTS(placeholder[Int](32))\n sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](33), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]].get == coll19, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll20, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box22.id.slice(placeholder[Int](34), placeholder[Int](35))) % bi21 + bi21 % bi21, coll23(placeholder[Int](36))._1 == coll24(placeholder[Int](37))._1, tuple25._1 == tuple26._1, tuple25._2 == tuple26._2, box3.value == l18 - l27 - l28 + placeholder[Long](38), box29.propositionBytes == coll19, box29.value == l27, box30.propositionBytes == coll20, box30.value == l28, box22.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), box22.creationInfo._1.toLong > l2)))\n )} else {(\n val coll22 = box3.tokens\n val coll23 = SELF.tokens\n val tuple24 = coll22(placeholder[Int](41))\n val tuple25 = coll23(placeholder[Int](42))\n sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](43), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]] == opt4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]] == opt5, coll22(placeholder[Int](44))._1 == coll23(placeholder[Int](45))._1, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, box3.value == SELF.value - placeholder[Long](46))))\n )} }\n}",
"address": "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",
"assets": [
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "451537b9ee5dbbe49063bdb4416c1960cbc683601daf38290d32ebccb0819357",
"index": 1,
"amount": 999999950,
"name": "Raffle_token: RESTORING MAU FOREST IN KENYA",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1106b4010a8094ebdc0380f8e0cde105facc4864",
"sigmaType": "Coll[SLong]",
"renderedValue": "[90,5,500000000,99000000000,594749,50]"
},
"R5": {
"serializedValue": "0e240008cd0239836de64da27f8309deb58f6f2471dfa5059b58d08274dbe347e68453585709",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0239836de64da27f8309deb58f6f2471dfa5059b58d08274dbe347e68453585709"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524553544f52494e47204d415520464f5245535420494e204b454e5941,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,451537b9ee5dbbe49063bdb4416c1960cbc683601daf38290d32ebccb0819357]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "339116ae398823e4e0a86d609153685adacef9fbe3b7e976708c2f4b083e01fb",
"mainChain": true
},
{
"boxId": "58ee2fbc2f13e67ef84ca9e6915e2b4bbe181fa93b64a2676248a7517928989d",
"transactionId": "f56f674b21d3fee79bbe545b04a6e104a3473a1e1d40ccc8bb82e744fd1aa319",
"blockId": "c6254749d32ca1f71a8bff7c9169a9e5a9b399dc468055cd19695772f3b25179",
"value": 1500000,
"index": 1,
"globalIndex": 7242987,
"creationHeight": 576895,
"settlementHeight": 576897,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: false\n2: 3\n3: 1\n4: 1\n5: 2\n6: 0\n7: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n8: 1\n9: 0\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n16: 1\n17: 2\n18: 3",
"ergoTreeScript": "{\n val coll1 = SELF.R5[Coll[Long]].get\n if (HEIGHT.toLong < coll1(placeholder[Int](0))) { sigmaProp(placeholder[Boolean](1)) } else {(\n val i2 = INPUTS.size\n if (i2 == placeholder[Int](2)) {(\n val box3 = OUTPUTS(placeholder[Int](3))\n val box4 = INPUTS(placeholder[Int](4))\n val coll5 = box4.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box3.value == box4.value, box3.propositionBytes == SELF.R4[Coll[Byte]].get, INPUTS(placeholder[Int](5)).id == SELF.id, coll5(\n placeholder[Int](6)\n )._1 == placeholder[Coll[Byte]](7), coll5(placeholder[Int](8))._1 == SELF.tokens(placeholder[Int](9))._1\n )\n )\n )\n )} else {(\n val coll3 = INPUTS(placeholder[Int](10)).tokens\n val tuple4 = SELF.tokens(placeholder[Int](11))\n val box5 = OUTPUTS(placeholder[Int](12))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3(placeholder[Int](13))._1 == tuple4._1, coll3(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15), INPUTS(\n placeholder[Int](16)\n ).id == SELF.id, i2 == placeholder[Int](17), box5.propositionBytes == SELF.R4[Coll[Byte]].get, box5.value == coll1(placeholder[Int](18)) * tuple4._2\n )\n )\n )\n )}\n )}\n}",
"address": "25JUUNN6TMw7uauYMN7gUptDyHb8ppPMefMspbXVMWVc6izLZgxnkkqEqqYoTK4K4rdd4y4VbxLVXy4b4uP5ejJGrWbSHdfDQe86BV1z9TjYNAHJbq5HtK6KRh6s8EhT6bmvX5GtHj87rsLPNcBMubkEuQnMKtNAHnYnEzTTeJKR2KJZMXstrCpzc1cQ8DETi1dGbrVxpnsev2g5a1f4ywyRDjH9HzEHQrCymWcCbmG4LyC7Auvx2RPJLVEnxzsotrZGAwBHXrseAR5RmwAdihbHZnt1z7dU3hxNYU4vQndBJXYvojXgaJyn3cVEdA9RYCXtVNYZWYDcbokV7Dd9mUGsq5HSgEMf8vkGHhj2BbQ67dGg2ohv1cp6uJGRneqJGfSjLqbjZvS2vMvM3tG82zbhk5Geaxub7wEyZnAjyERHKSmCbsvvBatVY",
"assets": [
{
"tokenId": "451537b9ee5dbbe49063bdb4416c1960cbc683601daf38290d32ebccb0819357",
"index": 0,
"amount": 50,
"name": "Raffle_token: RESTORING MAU FOREST IN KENYA",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd0242c9247af38af4f581c25a95f12c5100fa5ec88fd742aea82f2cdec9e038ddc5",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0242c9247af38af4f581c25a95f12c5100fa5ec88fd742aea82f2cdec9e038ddc5"
},
"R5": {
"serializedValue": "11040064facc488094ebdc03",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,50,594749,500000000]"
}
},
"spentTransactionId": "5bcbd25e54508981c017cca2806212e80ec6c238d0eac11b0d3b38b8fd1adc85",
"mainChain": true
},
{
"boxId": "82768c34684fcd34f3ac3892046fbc9aa1b8db11019f966b969f070bba61cbb8",
"transactionId": "f56f674b21d3fee79bbe545b04a6e104a3473a1e1d40ccc8bb82e744fd1aa319",
"blockId": "c6254749d32ca1f71a8bff7c9169a9e5a9b399dc468055cd19695772f3b25179",
"value": 1500000,
"index": 2,
"globalIndex": 7242988,
"creationHeight": 576895,
"settlementHeight": 576897,
"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": "64c28f4e64bc7f636baa737d4422eeeefa83b1e26f6760c38df5f7a800d4ac5d",
"mainChain": true
}
],
"size": 2424,
"isUnconfirmed": false
}