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test: fix weight estimates in functional tests

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Updates the weight estimate to be more accurate by removing byte buffers and calculating the length of the count of scriptWitnesses rather than just using the count itself.
This commit is contained in:
Max Edwards
2024-03-01 11:43:36 +00:00
parent ac19235818
commit 3c49e69670
2 changed files with 18 additions and 8 deletions
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13
test/functional/rpc_psbt.py
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@ -753,11 +753,16 @@ class PSBTTest(BitcoinTestFramework):
break
psbt_in = dec["inputs"][input_idx]
# Calculate the input weight
# (prevout + sequence + length of scriptSig + scriptsig + 1 byte buffer) * WITNESS_SCALE_FACTOR + num scriptWitness stack items + (length of stack item + stack item) * N stack items + 1 byte buffer
# (prevout + sequence + length of scriptSig + scriptsig) * WITNESS_SCALE_FACTOR + len of num scriptWitness stack items + (length of stack item + stack item) * N stack items
# Note that occasionally this weight estimate may be slightly larger or smaller than the real weight
# as sometimes ECDSA signatures are one byte shorter than expected with a probability of 1/128
len_scriptsig = len(psbt_in["final_scriptSig"]["hex"]) // 2 if "final_scriptSig" in psbt_in else 0
len_scriptsig += len(ser_compact_size(len_scriptsig)) + 1
len_scriptwitness = (sum([(len(x) // 2) + len(ser_compact_size(len(x) // 2)) for x in psbt_in["final_scriptwitness"]]) + len(psbt_in["final_scriptwitness"]) + 1) if "final_scriptwitness" in psbt_in else 0
input_weight = ((40 + len_scriptsig) * WITNESS_SCALE_FACTOR) + len_scriptwitness
len_scriptsig += len(ser_compact_size(len_scriptsig))
len_scriptwitness = (sum([(len(x) // 2) + len(ser_compact_size(len(x) // 2)) for x in psbt_in["final_scriptwitness"]]) + len(ser_compact_size(len(psbt_in["final_scriptwitness"])))) if "final_scriptwitness" in psbt_in else 0
len_prevout_txid = 32
len_prevout_index = 4
len_sequence = 4
input_weight = ((len_prevout_txid + len_prevout_index + len_sequence + len_scriptsig) * WITNESS_SCALE_FACTOR) + len_scriptwitness
low_input_weight = input_weight // 2
high_input_weight = input_weight * 2