snip~
Lol, this is boring, looking for the five legs of the cat, you're just saying nonsense.
Non-sense? Of course. And it's obviously boring, high-lighting the factual errors on your fallacies can't be the truth, it's simply boredom. You're stepping in nicely into bib's shoes.
At this point, any rational person would ask you if you took your pills today, though. I won't do that, you obviously don't need any, you have your own made-up math reality going for you nicely!
1. Search
seq_result = sequential_search(dataset, RANGE_SIZE, target_hash, order)
pre_result = precise_search(dataset, RANGE_SIZE, PREFIX_LENGTH, target_hash, order)
2. Add to total ops
# Suma de checks globales
results["sequential"]["total_checks"] += seq_result["checks"]
results["precise"]["total_checks"] += pre_result["checks"]
3. This is a chess game, so let's see who gets the trophy
if seq_result["checks"] < pre_result["checks"]:
results["sequential"]["wins"] += 1
elif seq_result["checks"] > pre_result["checks"]:
results["precise"]["wins"] += 1
else:
results["ties"] += 1
4. Show effective stats
print(f"Checks: Sequential = {seq_result['checks']} | Prefix = {pre_result['checks']}")
5. Use some made up formula that doesn't really make sense with anything, since it mixes in total ops with the chess trophy counters.
# Calcular avg success rate
avg_success_rate_sequential = (results["sequential"]["total_checks"] / results["sequential"]["wins"]
if results["sequential"]["wins"] > 0 else float('inf'))
avg_success_rate_precise = (results["precise"]["total_checks"] / results["precise"]["wins"]
if results["precise"]["wins"] > 0 else float('inf'))
Golden.