Transaction
ID: bac5c8bb18...d65c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Confirmations: 1,184,051
Total coins transferred: 0.0045 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000648 ERG
Raw Transaction Data
{
"id": "bac5c8bb18c98bc0619a8a4414f16ccc851049a28ff308b85fd3a5bbcadfd65c",
"blockId": "c4dc6f9a80349dc14abd84a97bb25f6c2386325a7cd0fe9778327d4db56db3c8",
"inclusionHeight": 593083,
"timestamp": 1633628407050,
"index": 32,
"globalIndex": 1910736,
"numConfirmations": 1184051,
"inputs": [
{
"boxId": "c112e01e6d8e661f24c3137d04c499713fada54bfc1f405bdc42acf5507893ad",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e4db18e76f91ce683854a3b7d112d4184b395d6c13a5e433eefdd588d6d3550e",
"outputTransactionId": "4211cb83f37ac72364270835f8c6e3dac28b2dcdb7d88e271e4aec0a16683a10",
"outputIndex": 1,
"outputGlobalIndex": 8137101,
"outputCreatedAt": 593077,
"outputSettledAt": 593079,
"ergoTree": "1003040004000e205e8abfece953833ea977ce92e9959d6061d604365a9e7e1c04fd0bae829d37cad801d601b2a5730000d19683070193c5a7c5b2a473010093c17201c1a793cbc27201730293e4c672010411e4c6a7041193e4c67201050ee4c6a7050e93e4c67201061ae4c6a7061a93e4c67201070ee4c6a7070e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(94,-118,-65,-20,-23,83,-125,62,-87,119,-50,-110,-23,-107,-99,96,97,-42,4,54,90,-98,126,28,4,-3,11,-82,-126,-99,55,-54)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](1)).id, box1.value == SELF.value, blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](2), box1.R4[\n Coll[Long]\n ].get == SELF.R4[Coll[Long]].get, box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R6[Coll[Coll[Byte]]].get == SELF.R6[\n Coll[Coll[Byte]]\n ].get, box1.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get\n )\n )\n )\n}",
"address": "2PEEpimfhHpaMvX7wcSY4zmaoGhenstsapiQqe3BRhfDdfUevhERYbETJLpQVxSL62KRrh48SfeeLnR6cYA3Z9bEixa21S4165yoQrwMREvySdQGLP3xDGhKeeCxzrACsTA3ppx1DcHQBEfJNrx3zfh8DpJ6QxjBGpPF934UnRMiq28z",
"assets": [
{
"tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
"index": 0,
"amount": 1,
"name": "ErgoRaffle Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd036c396def52b98de7cca7f181a8019b28f88d42d037978c8e9b6dcf15d17dca4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036c396def52b98de7cca7f181a8019b28f88d42d037978c8e9b6dcf15d17dca4c"
},
"R6": {
"serializedValue": "1a034152616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c85064d79206e616d652069732044756e6775726f766120556d61726f766e612c206920616d20746865207072696e6369706c65206f6620746865207072696d6172792067656e6572616c20656475636174696f6e207363686f6f6c20696e205365726e6f766f64736b20696e204368656368656e2052657075626c696320696e205275737369612e0a492077616e7420746f2067697665206f7572206b69647320616e206f70706f7274756e69747920746f2067657420696e746f20636f6d707574657273206173207468657920617265207374696c6c20796f756e672e20596f75206b6e6f7720697420697320696d706f7274616e7420746f2077616b652075702074686520696e746572657374206f66206b696473206173206561726c7920617320706f737369626c652c206265666f7265207468657920676574206c6f737420666f72207468696e6773207468617420646f6e27742067697665207468656d20616e79207065727370656374697665730a492077616e7420746f20627579206120706572736f6e616c20636f6d707574657220666f7220657665727920636c6173732c20736f20746865206368696c6472656e2063616e20737461727420616e20656475636174696f6e206f6e20636f6d7075746572732e20576520616c726561647920676f7420736f6d65206d6f6e65792066726f6d2074686520706172656e74732062757420697420697320666172206e6f7420656e6f75676820666f72207468652070726f6a6563742e0a416c6d6f73742037302030303020727562656c207765726520636f6c6c6563746564206f76657220746865206c6173742033206d6f6e7468732e2054686174206973206e6561726c792031303030202420616e642077652061696d696e6720746f20747269706c65207468617420616d6f756e742e20536f206576657279206f6620746865203320636c61737365732063616e206166666f726420746f2068617665206120676f6f64206d6f6465726e20504320776974682065616368206f6e65207072696e74657220616e64207363616e6e65722e200ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,0ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706]"
},
"R8": {
"serializedValue": "0e200ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706",
"sigmaType": "Coll[SByte]",
"renderedValue": "0ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
},
"R4": {
"serializedValue": "11065a0a8094ebdc0380a0b787e905d8975100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[45,5,500000000,100000000000,665068,0]"
}
}
},
{
"boxId": "c0b428da3cb389399f3676a6d0034f3f378f8e35b21f86fe969e9d55b52d1685",
"value": 1500000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e4db18e76f91ce683854a3b7d112d4184b395d6c13a5e433eefdd588d6d3550e",
"outputTransactionId": "4211cb83f37ac72364270835f8c6e3dac28b2dcdb7d88e271e4aec0a16683a10",
"outputIndex": 2,
"outputGlobalIndex": 8137102,
"outputCreatedAt": 593077,
"outputSettledAt": 593079,
"ergoTree": "100604000402040004000e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b10400d804d601db6308b2a5730000d602b27201730100d603b2db6308a7730200d6048c720301d196830401938cb27201730300017304938c7202017204938c7202028c720302937204e4c6b2a4730500080e",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: 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)\n5: 0",
"ergoTreeScript": "{\n val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n val tuple2 = coll1(placeholder[Int](1))\n val tuple3 = SELF.tokens(placeholder[Int](2))\n val coll4 = tuple3._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == coll4, tuple2._2 == tuple3._2, coll4 == INPUTS(placeholder[Int](5)).R8[\n Coll[Byte]\n ].get\n )\n )\n )\n}",
"address": "TwzjyySddUnYsBxgPrBqMMsCSVAyfv84TSLxMVPC5W4AXQWhxPEkbJiv1qEXv4BTmwGLBMPuRXTzgn48HENYVEKB4wmbEpiGAFCFHo6FiwurRfNwcqLJGVmtALoCmibQHchhruQLWmoH1GkojXvttzAszDLTENGfdEBCUQHhjGq9tWzRcq",
"assets": [
{
"tokenId": "0ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706",
"index": 0,
"amount": 1000000000,
"name": "Raffle_token: Raising for computer based learning of children in Chechen school",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e4f526166666c655f746f6b656e3a2052616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "526166666c655f746f6b656e3a2052616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c"
},
"R5": {
"serializedValue": "0e4f526166666c655f746f6b656e3a2052616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "526166666c655f746f6b656e3a2052616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f3f92cc2d4bdf690afd22025c6f67900179f5bd88159fc59db297e94bcbb9e27",
"transactionId": "bac5c8bb18c98bc0619a8a4414f16ccc851049a28ff308b85fd3a5bbcadfd65c",
"blockId": "c4dc6f9a80349dc14abd84a97bb25f6c2386325a7cd0fe9778327d4db56db3c8",
"value": 3000000,
"index": 0,
"globalIndex": 8137517,
"creationHeight": 593077,
"settlementHeight": 593083,
"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": "0ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706",
"index": 1,
"amount": 1000000000,
"name": "Raffle_token: Raising for computer based learning of children in Chechen school",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11065a0a8094ebdc0380a0b787e905d8975100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[45,5,500000000,100000000000,665068,0]"
},
"R5": {
"serializedValue": "0e240008cd036c396def52b98de7cca7f181a8019b28f88d42d037978c8e9b6dcf15d17dca4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036c396def52b98de7cca7f181a8019b28f88d42d037978c8e9b6dcf15d17dca4c"
},
"R6": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,0ec71efc4dc61b0e5da2fc1b99831de1b0b214da54827fc42f4506836759f706]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "92b74de1aa2a790c11358394b63400d3c1a05a23f1426147067ff184d1e7203f",
"mainChain": true
},
{
"boxId": "a627767a20710b9e2a0a7ee50e840c18f7fa1a0820d3bf61b6e3f2fc24d86bf6",
"transactionId": "bac5c8bb18c98bc0619a8a4414f16ccc851049a28ff308b85fd3a5bbcadfd65c",
"blockId": "c4dc6f9a80349dc14abd84a97bb25f6c2386325a7cd0fe9778327d4db56db3c8",
"value": 1500000,
"index": 1,
"globalIndex": 8137518,
"creationHeight": 593077,
"settlementHeight": 593083,
"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": "17b795f5f8dd5a64c091fa59af3859864254b475c94514b0d11e642120035c76",
"mainChain": true
}
],
"size": 2314,
"isUnconfirmed": false
}