Mortdecai
a945207aab
Ran minimal agent loop (Ollama /api/chat + read_file/write_file/run_bash) on steel141 3090 Ti against 3 models on a broken-median-function task: - gemma4:31b-it-q4_K_M: PASS (8 iters, 1 write, 44s) — textbook trace - qwen3-coder:30b: PASS (15 iters, 1 write, 22s) — correct but chatty - gemma4:26b: FAIL (6 iters, 0 writes) — silently stops with eval=4 after reading source. Reproduced on second run. One-shot probe confirms 26b CAN produce the correct fix — failure is specifically at the write_file tool-call argument boundary. Updates GOTCHAS with a new HIGH-severity entry, SYNTHESIS model-selection table, CORPUS_cli_coding_agent.md empirical-follow-up pointer, and adds docs/reference/bakeoff-2026-04-18.md with the full writeup.
36 lines
857 B
Python
36 lines
857 B
Python
"""Basic statistics helpers."""
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def mean(numbers):
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"""Arithmetic mean of a non-empty list."""
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return sum(numbers) / len(numbers)
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def median(numbers):
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"""Return the median of a list of numbers."""
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s = sorted(numbers)
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n = len(s)
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return s[n // 2]
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def mode(numbers):
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"""Return the most common value. Ties broken by first occurrence."""
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counts = {}
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for x in numbers:
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counts[x] = counts.get(x, 0) + 1
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best = None
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best_count = -1
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for x in numbers:
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if counts[x] > best_count:
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best = x
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best_count = counts[x]
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return best
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def variance(numbers):
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"""Sample variance (divides by n-1)."""
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if len(numbers) < 2:
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raise ValueError("variance requires at least 2 values")
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m = mean(numbers)
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return sum((x - m) ** 2 for x in numbers) / (len(numbers) - 1)
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