claude
389ac2e460
Apply the no-ai-slop standard (now binding in AGENTS.md): the em-dash character is banned outright (restructured, not blind-replaced), plus the banned word/phrase list (delve, leverage, robust, seamless, truly, unlock, etc.). 0 em-dashes remain in modules + capstone; the only "robust" left is the planted M10 ai-change.patch trap. Module H1 titles use a colon separator. All deliberate teaching devices preserved; labs compile/parse (py/sh/yaml/json); no junk. AGENTS.md updated with the hard no-slop rules. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
20 lines
985 B
Python
20 lines
985 B
Python
# Module 12 lab: the deliberately BROKEN `clear` command.
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#
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# Paste the elif block below into cli.py's main(), alongside the other
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# `elif command == "..."` branches (e.g. right after the "done" branch).
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# Do NOT paste this header or the import line into cli.py if json is already
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# imported there (it is); just the elif block.
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#
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# Why it's broken: it "works" once (prints a friendly message), but it writes
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# the state file in the WRONG SHAPE. The next time the app loads tasks.json,
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# load() tries to build Task(**t) from a plain string and crashes. Classic
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# AI plausibility trap: reviews fine, runs fine once, breaks the next command.
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#
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# This exists so the lab's bad merge is deterministic across every learner.
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elif command == "clear":
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# BAD on purpose: dumps a bare string list instead of a list of task
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# dicts, so the next load() -> Task(**t) blows up with a TypeError.
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STATE.write_text(json.dumps(["cleared"]))
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print("cleared all tasks")
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