ElementsProject
elements-23.2.2 "bad-txns-in-ne-out, value in != value out" error
I could not send an unblinded 2-into-2 raw tx, on v23.2.2+liquidtestnet4. @levantah had a similar issue with blinded outputs. The inputs and outputs were definitely adding up in my case:
$ ecli decoderawtransaction 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
{
"txid": "8ceb9faba7ca457d3dee49c185d491486c4105f021279573af4b9f6ed831a4be",
"hash": "8ddbdb495e679a6b3ed54f3ca3c5728c9392718fe40c4a549c9d3688fe7475e7",
"wtxid": "8ddbdb495e679a6b3ed54f3ca3c5728c9392718fe40c4a549c9d3688fe7475e7",
"withash": "394f85047cb30e375cf2a4f4876f82aba29cd8de58e5ec202e1328404a718599",
"version": 2,
"size": 495,
"vsize": 326,
"weight": 1302,
"locktime": 0,
"vin": [
{
"txid": "af3c1d68a8f6a2a768e8c8b7fe971e97853dc9b0cb5a66dd81cb264f709e2117",
"vout": 0,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3044022073c894cb45310064bd6393275a0f146b31a47e200c4fe2bb666ac480d16405f202207222375a20a5241be638858f6a23fb6e24276ae63efb45f4f2bb3ec931cb491701",
"03944e0fa9945634b18b584006f521abf75dfeacc56c09f0943a27f2a3e17b0402"
]
},
{
"txid": "af3c1d68a8f6a2a768e8c8b7fe971e97853dc9b0cb5a66dd81cb264f709e2117",
"vout": 1,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3044022059441e7d3c1f8952b793f4899f139b89c210d2287788dc0780c4f1795c01ce7e022037612aaac1f6d57a467e15a4dec69df753167c67e46e1b37ea5e45a96059e30d01",
"0307ff8bd227fa67c64d22306852cd8c5737a2573c48cfeb154c19316b05b363ee"
]
}
],
"vout": [
{
"value": 0.00308581,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 0,
"scriptPubKey": {
"asm": "0 a3927ec747ecdeb82a59b0807b0966f47cdaa90d",
"desc": "addr(tex1q5wf8a368an0ts2jekzq8kztx737d42gdzcqjcv)#3fxx0typ",
"hex": "0014a3927ec747ecdeb82a59b0807b0966f47cdaa90d",
"address": "tex1q5wf8a368an0ts2jekzq8kztx737d42gdzcqjcv",
"type": "witness_v0_keyhash"
}
},
{
"value": 0.00099984,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 1,
"scriptPubKey": {
"asm": "0 25ec28526e73b1fe4bff896ad40485186c692a56",
"desc": "addr(tex1qyhkzs5nwwwclujll394dgpy9rpkxj2jkdwem5e)#hd073lrr",
"hex": "001425ec28526e73b1fe4bff896ad40485186c692a56",
"address": "tex1qyhkzs5nwwwclujll394dgpy9rpkxj2jkdwem5e",
"type": "witness_v0_keyhash"
}
},
{
"value": 0.00000032,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 2,
"scriptPubKey": {
"asm": "",
"desc": "raw()#58lrscpx",
"hex": "",
"type": "fee"
}
}
],
"fee": {
"144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49": 0.00000032
}
}
$ ecli sendrawtransaction 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
error code: -26
error message:
bad-txns-in-ne-out, value in != value out
$ ecli listunspent
[
{
"txid": "af3c1d68a8f6a2a768e8c8b7fe971e97853dc9b0cb5a66dd81cb264f709e2117",
"vout": 0,
"address": "tex1q65qzzavpe46x27u5kkqfk0pt4dhfkwhghvqvj8",
"scriptPubKey": "0014d500217581cd74657b94b5809b3c2bab6e9b3ae8",
"amount": 0.00308597,
"assetcommitment": "0a26e4e76e55c868f67d9c0cc91894b09b5db045754f997e11706b5b3ccbc15357",
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"amountcommitment": "09aa7ba9c408cc700f7b580a3e02e7a92d4a751f136de44a9a6ff2d9607a0b2d00",
"amountblinder": "ca0f569ab4a8279d7411f60bc87be031025c0280eb584fa04038a385cf5388e0",
"assetblinder": "13016d5bda33daf7a507f2fa2a26fa8282ea2e77665c58780a283ac480057009",
"confirmations": 129,
"spendable": true,
"solvable": true,
"desc": "wpkh([80045c9d/0'/1'/155']03944e0fa9945634b18b584006f521abf75dfeacc56c09f0943a27f2a3e17b0402)#629fls9d",
"safe": true
}
]
$ ecli2 listunspent
[
{
"txid": "af3c1d68a8f6a2a768e8c8b7fe971e97853dc9b0cb5a66dd81cb264f709e2117",
"vout": 1,
"address": "tex1q72paxn44pcm4967fhm0w5l6etnfdpthzv90nl2",
"label": "",
"scriptPubKey": "0014f283d34eb50e3752ebc9bedeea7f595cd2d0aee2",
"amount": 0.00100000,
"assetcommitment": "0b28a300d4175dc777d95ae385c1fe304e0eb4801576b1c1a5f96219dba6f8c4b7",
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"amountcommitment": "089d06d3f1afe6e55d30870eab985a74f662664509d45d5a021d3ef4daac4995a9",
"amountblinder": "abcc5ada6448675a3fdcc5eafa79d2fb041d9fe4959ef09f374a38166f59438e",
"assetblinder": "61cd681f4b5721205bf4b9cd1fffb3245e9454a7f5fc90870f216c69e74f2c49",
"confirmations": 129,
"spendable": true,
"solvable": true,
"desc": "wpkh([15eb238a/0'/0'/33']0307ff8bd227fa67c64d22306852cd8c5737a2573c48cfeb154c19316b05b363ee)#f5r5ggnm",
"safe": true
}
]
Just for record, this is a draft intended to be send to Liquid Dev, but since I am uncovering things on the go, it may be slightly invalid already:
So our findings are that one can not finalize and send Liquid (tested also on the original liquidtestnet) a transaction which is formed from a PSET that spends two previous blinded outputs without sending to two new blinded outputs (or one unblinded) - see example of two blinded sending to two blinded (each of the inputs was comming from a different wallet which does both a sequential and a parallel (later combined before finalizing) walletprocesspsbt) please have a look and let me know if it is intended to work like this (the error messages do not hint that way)
When combining PSBTs I noticed following:
error code: -4
error message:
Transaction has blind inputs belonging to this blinder but does not have outputs to blind
I stumbled at the same problem paying USDT and BTC from one wallet. elements-23.2.4 on liquidtestnet.
Inputs: 5 USDT & 100,000 sats Outputs: 5 USDT & 97,183 + 2,777 + 40 fee sats
Raw Tx Hex:
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
Decoded:
{
"txid": "21d8c1a2ec76c21893ead63a3fe3711c2c740f7c6ba49f2b7f9b77a229672e6a",
"hash": "a6ac0eb6b24bddb7a15a08b537e2b9dab0fadc69f50cff0d976e490ff9f9582a",
"wtxid": "a6ac0eb6b24bddb7a15a08b537e2b9dab0fadc69f50cff0d976e490ff9f9582a",
"withash": "1600b89fac544836f45713fc876e8c2f537c47d0045e70776042bc439368736c",
"version": 2,
"size": 564,
"vsize": 393,
"weight": 1569,
"discountvsize": 393,
"discountweight": 1569,
"locktime": 0,
"vin": [
{
"txid": "afa79076b238299dac13eb142b02797cf5979f4ee881450b8f72c1fe582f3b4f",
"vout": 0,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3045022100bb80ffb5125602301f0db2836a9e4fbc6fba589a8f2065cff30ef2aeea42e320022076e961487e705f8ca5c2c4160adf59b96959b651ccb7bdedb9ffc5f24337f17501",
"03cbe629eaffe18e1d052c22c033f239df1feb2ce37a88b41eaff150746666fd3e"
]
},
{
"txid": "c43e020c3ea63a863d0ffb17cd44e37e41a0ae4d06cc669d12f6bba6dbb4de84",
"vout": 0,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3044022008a8e95de6e7ae48e5940d22e748cbd8652dda27ee89077c23ea5fd95be3fe3102206d2dda825b543a378692e4d680ea9fed1943f715c90dac9ab95c766e341866b701",
"023ea189b4bac2d54e48ee738737d783911bf2adb176663419f0611ffb2fa6956e"
]
}
],
"vout": [
{
"value": 0.00097183,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 0,
"scriptPubKey": {
"asm": "0 65f7e914abffd274e654b3370e97cf10c9dc55c1",
"desc": "addr(tex1qvhm7j99tllf8fej5kvmsa970zryac4wpurh2ak)#ln6dfdw9",
"hex": "001465f7e914abffd274e654b3370e97cf10c9dc55c1",
"address": "tex1qvhm7j99tllf8fej5kvmsa970zryac4wpurh2ak",
"type": "witness_v0_keyhash"
}
},
{
"value": 0.00002777,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 1,
"scriptPubKey": {
"asm": "0 acb0885498af55bc5ea0b228563a1d2433083060",
"desc": "addr(tex1q4jcgs4yc4a2mch4qkg59vwsaysessvrq6u9sh8)#j3kwujjd",
"hex": "0014acb0885498af55bc5ea0b228563a1d2433083060",
"address": "tex1q4jcgs4yc4a2mch4qkg59vwsaysessvrq6u9sh8",
"type": "witness_v0_keyhash"
}
},
{
"value": 5.00000000,
"asset": "b612eb46313a2cd6ebabd8b7a8eed5696e29898b87a43bff41c94f51acef9d73",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 2,
"scriptPubKey": {
"asm": "0 acb0885498af55bc5ea0b228563a1d2433083060",
"desc": "addr(tex1q4jcgs4yc4a2mch4qkg59vwsaysessvrq6u9sh8)#j3kwujjd",
"hex": "0014acb0885498af55bc5ea0b228563a1d2433083060",
"address": "tex1q4jcgs4yc4a2mch4qkg59vwsaysessvrq6u9sh8",
"type": "witness_v0_keyhash"
}
},
{
"value": 0.00000040,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 3,
"scriptPubKey": {
"asm": "",
"desc": "raw()#58lrscpx",
"hex": "",
"type": "fee"
}
}
],
"fee": {
"144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49": 0.00000040
}
}
listunspent
[
{
"txid": "afa79076b238299dac13eb142b02797cf5979f4ee881450b8f72c1fe582f3b4f",
"vout": 0,
"address": "tex1qkkpjlev5fa862fh0jxujuva3fqt9svc98f0qp5",
"label": "",
"scriptPubKey": "0014b5832fe5944f4fa526ef91b92e33b14816583305",
"amount": 5.00000000,
"assetcommitment": "0a453b63c596ddb844b54d6e966fa562d869dc83292a94b7484343ad59df9d23a9",
"asset": "b612eb46313a2cd6ebabd8b7a8eed5696e29898b87a43bff41c94f51acef9d73",
"amountcommitment": "090dcb14fe573c49914eb303e0ebb09ba5bd53fcb1d2543a12820f173d77118a88",
"amountblinder": "e2f08381ea50d6245adf000ce40d000be6eee55aebdb145eb94ecb62b70fc2c0",
"assetblinder": "875078c7526f62e273b838fab2568b8b6fe197875c051e253862823c2c2221b7",
"confirmations": 1959,
"spendable": true,
"solvable": true,
"desc": "wpkh([302d11ea/0'/0'/3']03cbe629eaffe18e1d052c22c033f239df1feb2ce37a88b41eaff150746666fd3e)#zjkw5f4l",
"safe": true
},
...
{
"txid": "c43e020c3ea63a863d0ffb17cd44e37e41a0ae4d06cc669d12f6bba6dbb4de84",
"vout": 0,
"address": "tex1q0dyc8cyy4d96ysxws90cqgf3dlk5srll7j5h8a",
"label": "",
"scriptPubKey": "00147b4983e084ab4ba240ce815f8021316fed480fff",
"amount": 0.00100000,
"assetcommitment": "0a9c6a105975c0afa4c7500b54219975d4757e1ac2ba0baef44e5ce130a3c450d2",
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49",
"amountcommitment": "0861c7fef6250b8285d77f67fc4039e06ae9e131d97a7b2b1f251944e046dfa80a",
"amountblinder": "80b8aabc3e76303e529d7505a1ae4df9c7d1baf4eb3a87fa4d30ea295dd579ac",
"assetblinder": "8c5ab65fb0f1451baaa3ad8b5c9962cbba517dd8f18af8baf73b1f8348db44f5",
"confirmations": 1886,
"spendable": true,
"solvable": true,
"desc": "wpkh([302d11ea/0'/0'/0']023ea189b4bac2d54e48ee738737d783911bf2adb176663419f0611ffb2fa6956e)#l9tst0m0",
"safe": true
},
...
]
@SwapMarket is that an explicit transaction? can you try blinding it to see if that works
@SwapMarket is that an explicit transaction? can you try blinding it to see if that works
I first got this error with blinded outputs. Then I switched to explicit to easier demonstrate.
Please describe how you are creating your transaction with reproduction steps. I was able to get the same error with a similar explicit transaction, the inputs were from blinded outputs like yours. When I blinded my raw transaction before signing then it worked
https://liquid.network/testnet/tx/070fd9edd55699c02005277cbb013d278f2e9d6f5e28d2e28e12a8b869964e23
Please describe how you are creating your transaction with reproduction steps. I was able to get the same error with a similar explicit transaction, the inputs were from blinded outputs like yours. When I blinded my raw transaction before signing then it worked
https://liquid.network/testnet/tx/070fd9edd55699c02005277cbb013d278f2e9d6f5e28d2e28e12a8b869964e23
For reproducible steps I would need to give you my liquidtestnet wallet file. I don't have a regtest setup and the code that did that is not yet ready for publishing.
If you reproduced the error with blinded inputs and explicit outputs, that must be the common denominator: All blinded inputs must be linked to new blinded outputs, or the transaction fails.
However, in my case the USD must go to an explicit address and there is no USD change output. I only have one UTXO of 5 USD, and I must pay 5 USD. So I can only blind BTC change with BTC UTXO. If I don't assign USD UTXO I get error initializing the blinder.
Well, I tried sending the same to a confidential address with blinding, still the same error:
Raw TX:
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
Decoded TX:
{
"txid": "acabbc58f73d9142578be8dab0e75df6f94c29c8636a5baaf94055ab22e0061b",
"hash": "683c62a8ae4def6449843be5a25bdc5ff3bb85c4b664286da9fdfc73948176e8",
"wtxid": "683c62a8ae4def6449843be5a25bdc5ff3bb85c4b664286da9fdfc73948176e8",
"withash": "ed26447004e01dd3bab78c11cb19d26b79ed1d764dfda296494b2183a8c7c81a",
"version": 2,
"size": 13558,
"vsize": 3767,
"weight": 15067,
"discountvsize": 393,
"discountweight": 1570,
"locktime": 0,
"vin": [
{
"txid": "afa79076b238299dac13eb142b02797cf5979f4ee881450b8f72c1fe582f3b4f" ,
"vout": 0,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3045022100901da4f7a61e25350b5a311ba984c628d7db28fa599bf76052e8904d7dd5c d97022009409cb55a4135d259e4d5f01d69dcf84982b9aad39652de31a43b19833d268a01",
"03cbe629eaffe18e1d052c22c033f239df1feb2ce37a88b41eaff150746666fd3e"
]
},
{
"txid": "c43e020c3ea63a863d0ffb17cd44e37e41a0ae4d06cc669d12f6bba6dbb4de84" ,
"vout": 0,
"scriptSig": {
"asm": "",
"hex": ""
},
"is_pegin": false,
"sequence": 4294967295,
"txinwitness": [
"3045022100cc25060c24232ce12668b34a2bfb6f77875401043941dd2ebb56dbdfd9c61 35e0220009849eb547be297cdd0984d32f7f023418df7716e6bff6ae4e188f3cbf3e0d001",
"023ea189b4bac2d54e48ee738737d783911bf2adb176663419f0611ffb2fa6956e"
]
}
],
"vout": [
{
"value-minimum": 0.00000001,
"value-maximum": 45035996.27370496,
"ct-exponent": 0,
"ct-bits": 52,
"surjectionproof": "020003076227b4951773b368ee9240e90331d1eabd01cfff3e214a 41bdd58d712f1dbbc8635e9244b2aa73f68408356aa423d85d3992a924585b82815d83cd67efe7e0 83ec15d0303f1042805c17ffb1c7732b096121cac6a8e09ec9863a43ffffde4d",
"valuecommitment": "092e5800ecbe2ea880478e0945749cf21413aed5252a6c584f7a57 dd71aec10e8e",
"assetcommitment": "0a93f7508adbe99a6dad13df8bba827eeda7b777fcad62ec73db58 683861e862bb",
"commitmentnonce": "03f1fc17b0ddee53e90a0e9863ee5049a615cec81c4c62edcada4a 77f021d9f5f7",
"commitmentnonce_fully_valid": true,
"n": 0,
"scriptPubKey": {
"asm": "0 76bce8e712910f968321eab95a75a28b06ea6a53",
"desc": "addr(tex1qw67w3ecjjy8edqepa2u45adz3vrw56jnpr6874)#9n8vr5ry",
"hex": "001476bce8e712910f968321eab95a75a28b06ea6a53",
"address": "tex1qw67w3ecjjy8edqepa2u45adz3vrw56jnpr6874",
"type": "witness_v0_keyhash"
}
},
{
"value-minimum": 0.00000001,
"value-maximum": 45035996.27370496,
"ct-exponent": 0,
"ct-bits": 52,
"surjectionproof": "02000356109f8f47ef1d4e62678df380a1bab9c53d8f41f9ea2399 b63c1926c61fcacbc0c5043b975fc16aa1ca22f678ef5b117a3fe5b91971cbfd36dc1d47e936de9f 72c18271ad6c426e0b88f51fe2ab1108ef2023ae168cc484a13586a559c05bb9",
"valuecommitment": "08e0f647a6aa58dfa25bfa588130e0db18c06c4c9c172242f5b19b 3de060d0a4b5",
"assetcommitment": "0a98a536615a3c31aa886afddb6e67bad261be0558a71924c022ed 199ae45cc95d",
"commitmentnonce": "02d32619ad4f907d887ea179569db50523c9fa4ae9a9c1f90d3206 e6ff3b45f965",
"commitmentnonce_fully_valid": true,
"n": 1,
"scriptPubKey": {
"asm": "0 65f7e914abffd274e654b3370e97cf10c9dc55c1",
"desc": "addr(tex1qvhm7j99tllf8fej5kvmsa970zryac4wpurh2ak)#ln6dfdw9",
"hex": "001465f7e914abffd274e654b3370e97cf10c9dc55c1",
"address": "tex1qvhm7j99tllf8fej5kvmsa970zryac4wpurh2ak",
"type": "witness_v0_keyhash"
}
},
{
"value-minimum": 0.00000001,
"value-maximum": 45035996.27370496,
"ct-exponent": 0,
"ct-bits": 52,
"surjectionproof": "020003f0a0bc2b12a0fbf79ec9a8648ad222223769cec01de42ffe 7707afc90a57a2e2b157a2175aa6d0d3f337999220009692ab46b81a9d9d5fcfe94fe03c0906683f 5f45d5ea1bbcaff346f0e94ff3c65f91db9c7f48f8362b67d91133229170aa6f",
"valuecommitment": "09c4b6fdfa6031aeb68589f6012449e24e2de45b45d3b1cea9ba1d 06e10261e2ae",
"assetcommitment": "0b9fed03686d9caa93b75d6e93838c3b55641b0e1c553dd112fbd6 07a669afe3d7",
"commitmentnonce": "026ac205933439d31a7e7c748080ee5de0d8d2a3a931df6d3077d9 cc516e843d2b",
"commitmentnonce_fully_valid": true,
"n": 2,
"scriptPubKey": {
"asm": "0 76bce8e712910f968321eab95a75a28b06ea6a53",
"desc": "addr(tex1qw67w3ecjjy8edqepa2u45adz3vrw56jnpr6874)#9n8vr5ry",
"hex": "001476bce8e712910f968321eab95a75a28b06ea6a53",
"address": "tex1qw67w3ecjjy8edqepa2u45adz3vrw56jnpr6874",
"type": "witness_v0_keyhash"
}
},
{
"value": 0.00000040,
"asset": "144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49 ",
"commitmentnonce": "",
"commitmentnonce_fully_valid": false,
"n": 3,
"scriptPubKey": {
"asm": "",
"desc": "raw()#58lrscpx",
"hex": "",
"type": "fee"
}
}
],
"fee": {
"144c654344aa716d6f3abcc1ca90e5641e4e2a7f633bc09fe3baf64585819a49": 0.000000 40
}
}
Unblinded PSET: 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
Blinded PSET: 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
Finalized PSET: 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
I traced the issue to using floating point variables in certain programming languages. Switched to integers when creating PSETs and did not see this error again. Closing.