Transaction
ID: d32f1a4493...87d7
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
25 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
26 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: 1,192,480
Total coins transferred: 26.01 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000556 ERG
Raw Transaction Data
{
"id": "d32f1a44930ede25c2e8d0a9b99c802cf082266eccc4d0e8d1e9eaf74a5c87d7",
"blockId": "848fc8d4e10cdf8aefa3d002f5db2cf49a3acb9a68d7d7e7e0e3fed865085ce1",
"inclusionHeight": 582775,
"timestamp": 1632401482435,
"index": 5,
"globalIndex": 1830210,
"numConfirmations": 1192480,
"inputs": [
{
"boxId": "29c28cd5fd5a2c6a6e079c5647efd71e1af64cb34e64ce542cf7b38531026f4e",
"value": 1003000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "bdc0db3091b404480bbe0d779f1600ebc956b6975282e1243a04da7c2b179316",
"outputTransactionId": "ebe3091f0b01dd841551f18bb865c5500fa9b9328f05981c16f3fdac524e8935",
"outputIndex": 0,
"outputGlobalIndex": 7258108,
"outputCreatedAt": 577242,
"outputSettledAt": 577244,
"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": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
"index": 1,
"amount": 999999998,
"name": "Raffle_token: Raising for computer based learning of children in Chechen school",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11065a0a8094ebdc0380a0b787e9058ec14804",
"sigmaType": "Coll[SLong]",
"renderedValue": "[45,5,500000000,100000000000,593991,2]"
},
"R5": {
"serializedValue": "0e240008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
}
},
{
"boxId": "78ca9cbc6c8a01aba8a4e907628652c58c7b4a6e2760528b49ef13ac3816e618",
"value": 25003000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "39b426f82cc33a9bd27f482a736f99b15e0006b6c136b92afdc523e5f6182f84",
"outputTransactionId": "a27cea47078a47e0ad27a4a8c525158ed7293a260b19589555ef98c6ff2ea62c",
"outputIndex": 0,
"outputGlobalIndex": 7543077,
"outputCreatedAt": 582770,
"outputSettledAt": 582773,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,2,92,-71,75,101,126,-11,-13,108,-20,26,-57,76,43,-115,-99,57,32,42,-36,123,15,61,69,101,-7,-29,-96,11,-19,-64,-60,8)\n3: 0\n4: 1\n5: Coll(26,114,-97,-70,-38,55,-85,-9,36,55,-12,105,-29,35,127,-90,89,-93,-26,-87,-30,-99,-67,-65,-100,98,54,-93,97,63,-47,-58)\n6: 0\n7: 50\n8: 0\n9: 0\n10: 1500000\n11: Coll(0,8,-51,2,92,-71,75,101,126,-11,-13,108,-20,26,-57,76,43,-115,-99,57,32,42,-36,123,15,61,69,101,-7,-29,-96,11,-19,-64,-60,8)\n12: 25003000000\n13: 593991\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": "27Mtg4JHioSJE5sREBcMUmABP3b69akHk29uBHN2uU3KaHgMmU8JcmhFW4vdDLunKh8b7BdVa9yAHcCXXZ8gjw2L4xof5D532eMHLwE1hhJZwg6U8hf3zTC3najdK9PVqGRakTufkAprhXf6o2xnZQAJ2wcKMyLtSNQ8cGciKSJDQShVn7iSnv82kcZDv14B14yh8Lt3VnFKpR7H9cHgSBGTY6YKfCGXz9owJywCqMUKyve4XXT1UNSJsmhCKfeCrhzzaxumFNssguaNUnpRXZBipNNvpqND9Xtc1KxLx7T2NdgBDHL4h6LJ4t7YyUBhP5oQ1kFgEZhX1WNEanGt3tkQLMfZ8AvZaYYThnpcx3A65F7irvqGgRECrbNttN4Ud",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "c763ecf7dfb8d45d4b8bfc96617e728f8fc09e9ccbda183b0186e88d2bf2d3d2",
"transactionId": "d32f1a44930ede25c2e8d0a9b99c802cf082266eccc4d0e8d1e9eaf74a5c87d7",
"blockId": "848fc8d4e10cdf8aefa3d002f5db2cf49a3acb9a68d7d7e7e0e3fed865085ce1",
"value": 26003000000,
"index": 0,
"globalIndex": 7543098,
"creationHeight": 582773,
"settlementHeight": 582775,
"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": "AR862N4JEZKuGwFt8TyL7zhJkvujRNQdsvqZRnZLg6D6b8t3YELGTcGZSekZbU5jRu6xyMVGjiDHyYWa6ERs54aD8VgWsFetNgpu2jaonVe9LdC61u2w7oF8PM1PTe8NepVWJn2L6mw6sMedF6fPN9M85BgLgLpWAZQcFekmK1FBckFAPfbe7oFKK1R27gRvv36rVPcguj2kzN8BUM8ffQdjF59Mq6g8CPt4zcrnUFQiJsW4XnXbA1sBY4FqshhVDhbJivsvfZZmQpVxWguedPDTQeC6z3oecTqLhd3EQitQTyZvUmBgSLty2WzgnokomsWSSVKpb7UaQkJjuN2VFEMYyTEhGNrZxVyHZKatH9WegEDMV5NozURUGsMpfXT3hcyvA5r7QBcXKDhrbrfSq4hZyDtHGgbPxnQgNwHRTM5kXK5eaj5NDJsxGRe2CP2HB5YhMnG7bE9nezRq5CuNEWX7BKfkjj84pcBpT7t5yVKeFaVHgBozkiu8NFC3y3u13q3yKQdcjjAT9rzwbzEbaxcYGdVvV3sFx9NRdk4dKohuyAUQKd9Ko8uYu8VgEswhfG5iUd3UuqZ6GLmCND3mqoZTxCBcXe3eVTs78pUddnDC2zoxC7RmcExA1MqJbQ9wFWNcbrzizF96teay2ndT3yLUu9F4PJS8F311Hh9uzcZ9Wc8LEKEa4ufbwHxfnXLVzXJP8p87ANpFP2kiLLXBwycH3VFBY6EKovYPRhaNCFZ69g9s5SLAhNG2vX82yqwCVrDxJdGQ6LXh6fz3aGJHAFn4uU3feuwq7K1kYLghJ8WV59fLiMRSFY9ew96dKgCVRjSY68K63TzX8LqYm3cdNmdtzB2fGF9T5ex1ZQhEPviFaBPLptLuZJqmGVk6isCmoKKV7XiHAWA8xtfSWmYav3fxiHEKwriQjDWuxUAEcqJpmUxhEwgVJbVN6ywfFVz5GBo4y7tVna9hycEpaDzBcsPhJqH484WVcEFVVAkKgMQTos3EEhBgAAmQLcyaPNWP7bJRn9rwryGv2Miv4exjsPCwAbg68Q7teqkW3shom8R3XDENDebKQ4qxn3ZkFLXZe87iWCUtTi9ocdHYu12N45W67Jv4PB5bXVGW92HZEkZxCuHpda982qG1c4fMD5N1QTGW7gfH1n9DLSZyYkYSeKu3erMiBb9PeB3aF9fB8dGSsScTkaGBrYWfkfTSAZHDoo2Z91yGNVHhxVw89JKCh9ejZC2RVcWZ5Sz6v1gUFBrqrDbVTrWH8XMuE55Wsos62TLz8h3MEJ1KEzBZv2WArXo7YditMC1FyfFsC4togCNtPEpH3WqH2GCmRExtJJzGWgBptEPTeok9BYqrLSsK4ThSMFUpi5iow4iYyjrCotZJXJTT3fzMp8vYryiEYoNqYTkqbSceK5BaJoW3wHBhUUXde84YVmAtz42iQeKnYwbKWrjaAg5cbvyNiCq8L2WrRWyPD",
"assets": [
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
"index": 1,
"amount": 999999948,
"name": "Raffle_token: Raising for computer based learning of children in Chechen school",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11065a0a8094ebdc0380a0b787e9058ec14868",
"sigmaType": "Coll[SLong]",
"renderedValue": "[45,5,500000000,100000000000,593991,52]"
},
"R5": {
"serializedValue": "0e240008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "4db7d6f1d3af96d6e0df0b75650fbf6016c323c824e76822fa3fc2cabe7031e2",
"mainChain": true
},
{
"boxId": "74d7733c61ae7721ba1ffb5e303f4ca6d8720ef433869358a21f8625523618c2",
"transactionId": "d32f1a44930ede25c2e8d0a9b99c802cf082266eccc4d0e8d1e9eaf74a5c87d7",
"blockId": "848fc8d4e10cdf8aefa3d002f5db2cf49a3acb9a68d7d7e7e0e3fed865085ce1",
"value": 1500000,
"index": 1,
"globalIndex": 7543099,
"creationHeight": 582773,
"settlementHeight": 582775,
"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": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
"index": 0,
"amount": 50,
"name": "Raffle_token: Raising for computer based learning of children in Chechen school",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd025cb94b657ef5f36cec1ac74c2b8d9d39202adc7b0f3d4565f9e3a00bedc0c408",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd025cb94b657ef5f36cec1ac74c2b8d9d39202adc7b0f3d4565f9e3a00bedc0c408"
},
"R5": {
"serializedValue": "110404688ec1488094ebdc03",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,52,593991,500000000]"
}
},
"spentTransactionId": "12c6fdbd78f840f19091dc49ed1a6c684db05c3d2985b823347722938ae00fa4",
"mainChain": true
},
{
"boxId": "315a04e65820e222c1338d92db7f019459c70c8d5575e7cfe2365e1fe3da02f1",
"transactionId": "d32f1a44930ede25c2e8d0a9b99c802cf082266eccc4d0e8d1e9eaf74a5c87d7",
"blockId": "848fc8d4e10cdf8aefa3d002f5db2cf49a3acb9a68d7d7e7e0e3fed865085ce1",
"value": 1500000,
"index": 2,
"globalIndex": 7543100,
"creationHeight": 582773,
"settlementHeight": 582775,
"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": "ce0d9232c178c9181e3a525b0207ce6ca15f0783ee8de9b375abed1b64c4bf9b",
"mainChain": true
}
],
"size": 2696,
"isUnconfirmed": false
}