Transaction
ID: 5d6c88c6f9...eda7
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
189.5 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.503 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
190 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: 1,189,627
Total coins transferred: 190.01 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000524 ERG
Raw Transaction Data
{
"id": "5d6c88c6f96d670508505f6b3fb00646efa2fe2d576f15a4e905892bc0dceda7",
"blockId": "7b8d85d8a8bf9c1923d34eecc9cadbc188b7985345c853bbea726ea61d731d09",
"inclusionHeight": 568500,
"timestamp": 1630644054649,
"index": 16,
"globalIndex": 1723762,
"numConfirmations": 1189627,
"inputs": [
{
"boxId": "9aaa5b7ddcb2c30f8bf03193b75078bbb63129f99b25bde09c81427de38ca2ac",
"value": 189503000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "11366b9b898ab9a9dc8c8c4e859a13db95d7276a73a879e0e4e1b0b8da7bf735",
"outputTransactionId": "5d9866805092f6e819f80d2670ee76e19fc834880532ff32ee6c5894f91ba5d0",
"outputIndex": 0,
"outputGlobalIndex": 6855687,
"outputCreatedAt": 568365,
"outputSettledAt": 568367,
"ergoTree": "102f04080400040004000402040204040404040604060408040a040a040204000402040004000e2078718c373b421b870ec4b9dbc7b81eb19f70e08485fe62c259312ad1de8f55090402040205c08db701040004020404040604000402040205c80105c801040204040e20146b57b047fd3bbb56887aac71ba8fd8f4cfd62a0f867d51be9635021b9cd5af0400041e0400040005c08db70104000e20011d3364de07e5a26f0c4eef0852cddb387039a921b7154ef3cab22c6eda887f040204020e20f7f3f8241bb775bd51042bbdcf36c0b8ea1ff23be87befc6b76704b928abaa350400040005c08db701d815d601e4c6a70411d602b27201730000d603b2a5730100d604c6a7050ed605c6a7070ed606e4c672030411d607b27206730200d608b27201730300d609b27206730400d60ab27201730500d60bb27206730600d60cb27201730700d60db27206730800d60eb27201730900d60fb27206730a00d610b27201730b00d611b27206730c00d6129c7210720cd613e47204d614e47205d6157e721006958f7ea3057202d80ad616db63087203d617db6308a7d618b2a5730d00d619db63087218d61ab27219730e00d61b8c721a02d61cb27217730f00d61dc17203d61ec1a7d61fe4c672180511d196831701938cb27216731000018cb272177311000193c27203c2a793c67203050e720493c67203061ac6a7061a93c67203070e72059372077208937209720a93720b720c93720d720e93720f72029372119a7210721b93cbc27218731293b172197313938c721a018c721c01938c721c029a8cb2721673140002721b91721d721e92c17218731593721d9a721e9c721b720ce6c67218040e93b2721f731600721093b2721f731700721193b2721f731800720293b2721f731900720c95927212720ed809d616b2db6501fe731a00d617db63087203d618db6308a7d619b27217731b00d61ab27218731c00d61b9d9c72127208731dd61c9d9c7212720a731ed61db2a5731f00d61eb2a5732000d19683150193cbc2720373219372077208937209720a93720b720c93720d720e93720f7202937211721093e4c67203050e721393e4c67203061ae4c6a7061a93e4c67203070e7214937ee4c672030805069e9a9e7bb4c5721673227323721572157215938cb27217732400018cb2721873250001938c7219018c721a01938c7219028c721a0293c172039a99997212721b721c732693c2721d721393c1721d721b93c2721e721493c1721e721c938cb2db63087216732700017328917e8cc7721601057202d804d616db63087203d617db6308a7d618b27216732900d619b27217732a00d196830e0193cbc27203732b9372077208937209720a93720b720c93720d720e93720f7202937211721093c67203050e720493e4c67203061ae4c6a7061a93c67203070e7205938cb27216732c00018cb27217732d0001938c7218018c721901938c7218028c72190293c1720399c1a7732e",
"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": "07f327ef5b1d064adededc95316c0720ff451a725e1ad9b97e047f743306d356",
"index": 1,
"amount": 999999621,
"name": "Raffle_token: A Pup for Peter - Service Dog's for Autism",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1106a0010a8094ebdc0380d880ed970ab0d54bf605",
"sigmaType": "Coll[SLong]",
"renderedValue": "[80,5,500000000,175000000000,619864,379]"
},
"R5": {
"serializedValue": "0e240008cd0254cccba06d2da14cc98ed99c97d421e4f5d192b7d163e127ba3fe428633d822f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0254cccba06d2da14cc98ed99c97d421e4f5d192b7d163e127ba3fe428633d822f"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[412050757020666f72205065746572202d205365727669636520446f67277320666f722041757469736d,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,07f327ef5b1d064adededc95316c0720ff451a725e1ad9b97e047f743306d356]"
},
"R7": {
"serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
}
},
{
"boxId": "3eae6d46d6c542429808dc3e871aaa80131d3a56c7daa6fcfc38dffb8ba3e3f1",
"value": 503000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "88b25860217207f753866ed4c4f93a8a39fbba448c3eeb0ad4cccb6b414c1a07",
"outputTransactionId": "a86284e3754f237ff57fa05b803e24193ca84ffcea06360f933a246144ffe44d",
"outputIndex": 0,
"outputGlobalIndex": 6863668,
"outputCreatedAt": 568484,
"outputSettledAt": 568487,
"ergoTree": "100f040404020e240008cd03e12b59f9545bc6ed482075ca8852b88949c7197982cd41eb5ee970a1065ebb21040004020e2007f327ef5b1d064adededc95316c0720ff451a725e1ad9b97e047f743306d356040005020400050005c08db7010e240008cd03e12b59f9545bc6ed482075ca8852b88949c7197982cd41eb5ee970a1065ebb210580afd9df0305b0d54b0404d801d601b1a5959172017300d801d602b2a5730100d1eded93e4c67202040e7302938cb2db6308b2a4730300730400017305938cb2db63087202730600027307d802d602b2a5730800d603b0a47309d9010341639a8c720301c18c720302d19683040192c17202997203730a93c27202730bec8f7203730c917ea305730d937201730e",
"ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,3,-31,43,89,-7,84,91,-58,-19,72,32,117,-54,-120,82,-72,-119,73,-57,25,121,-126,-51,65,-21,94,-23,112,-95,6,94,-69,33)\n3: 0\n4: 1\n5: Coll(7,-13,39,-17,91,29,6,74,-34,-34,-36,-107,49,108,7,32,-1,69,26,114,94,26,-39,-71,126,4,127,116,51,6,-45,86)\n6: 0\n7: 1\n8: 0\n9: 0\n10: 1500000\n11: Coll(0,8,-51,3,-31,43,89,-7,84,91,-58,-19,72,32,117,-54,-120,82,-72,-119,73,-57,25,121,-126,-51,65,-21,94,-23,112,-95,6,94,-69,33)\n12: 503000000\n13: 619864\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": "FajX9T7xgyUvG9hqKrRwN2A9wSTVGtgfyWLkXjisG6qoiYoaq6gvo9i3KtPBNjG98EujaD2XCJreM9Gtwp4NCugH8cNKboKayf9DNcDm97GsTwAAyp3Wf2mp1ET792DhpyFgyV9E8iSYeRDMDvcHCer53pjAwSjhavuRnR6P2dFPMX8NvwcuUfVaJ1QK7jWKQRpzChYkVEC5PZb9VUfGDJUaaiNWWpHDCV6D7mzS6zVvK2x8P1xoC2nZ8JSyeG1ryeigqVNGFxkbFg4ec49gV3mp2UVKHEgo1yYfWsmoUezrq4skb2jmtrf5Y7zQFxukm8keE3RAVrUYD6EhfzTkq6iQSykLV386JjAdHGr9UB4F8pJb9nsXUq9JULWTTtK",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "81217a758ada9e1080929c1eb8f1f72656a566bb1b868575580428eb9ea62a5d",
"transactionId": "5d6c88c6f96d670508505f6b3fb00646efa2fe2d576f15a4e905892bc0dceda7",
"blockId": "7b8d85d8a8bf9c1923d34eecc9cadbc188b7985345c853bbea726ea61d731d09",
"value": 190003000000,
"index": 0,
"globalIndex": 6864031,
"creationHeight": 568487,
"settlementHeight": 568500,
"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": "07f327ef5b1d064adededc95316c0720ff451a725e1ad9b97e047f743306d356",
"index": 1,
"amount": 999999620,
"name": "Raffle_token: A Pup for Peter - Service Dog's for Autism",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1106a0010a8094ebdc0380d880ed970ab0d54bf805",
"sigmaType": "Coll[SLong]",
"renderedValue": "[80,5,500000000,175000000000,619864,380]"
},
"R5": {
"serializedValue": "0e240008cd0254cccba06d2da14cc98ed99c97d421e4f5d192b7d163e127ba3fe428633d822f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0254cccba06d2da14cc98ed99c97d421e4f5d192b7d163e127ba3fe428633d822f"
},
"R6": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
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},
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
}
},
"spentTransactionId": "4b0fb05584552fa9ea6d65cb89beb56179341cf9799b5b3fe361e98ecbc268eb",
"mainChain": true
},
{
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"transactionId": "5d6c88c6f96d670508505f6b3fb00646efa2fe2d576f15a4e905892bc0dceda7",
"blockId": "7b8d85d8a8bf9c1923d34eecc9cadbc188b7985345c853bbea726ea61d731d09",
"value": 1500000,
"index": 1,
"globalIndex": 6864032,
"creationHeight": 568487,
"settlementHeight": 568500,
"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": "07f327ef5b1d064adededc95316c0720ff451a725e1ad9b97e047f743306d356",
"index": 0,
"amount": 1,
"name": "Raffle_token: A Pup for Peter - Service Dog's for Autism",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03e12b59f9545bc6ed482075ca8852b88949c7197982cd41eb5ee970a1065ebb21",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03e12b59f9545bc6ed482075ca8852b88949c7197982cd41eb5ee970a1065ebb21"
},
"R5": {
"serializedValue": "1104f605f805b0d54b8094ebdc03",
"sigmaType": "Coll[SLong]",
"renderedValue": "[379,380,619864,500000000]"
}
},
"spentTransactionId": "ba74b5a20a6e3fb60427cc58ec535543cc9be546443ddec12e8381a2bba3f8bf",
"mainChain": true
},
{
"boxId": "1e5f38676e8c324d1ea9dd83882bb3d8b59b3c9bbf4781aca2e695b3b07d2f11",
"transactionId": "5d6c88c6f96d670508505f6b3fb00646efa2fe2d576f15a4e905892bc0dceda7",
"blockId": "7b8d85d8a8bf9c1923d34eecc9cadbc188b7985345c853bbea726ea61d731d09",
"value": 1500000,
"index": 2,
"globalIndex": 6864033,
"creationHeight": 568487,
"settlementHeight": 568500,
"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": "a0843d381225e28fef02e594697ce599ffa0f0f10754b15099d877fc300104a9",
"mainChain": true
}
],
"size": 2864,
"isUnconfirmed": false
}