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
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
"""Core task logic for the demo app.
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Same running example from Modules 1 and 2, carried forward. It has grown one feature since then:
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a `pending_count()` helper that the AI added to back a `count` command. The feature "works" in
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the obvious case, which is exactly the kind of code this module teaches you to verify properly.
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"""
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from dataclasses import dataclass, field
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@dataclass
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class Task:
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title: str
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done: bool = False
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@dataclass
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class TaskList:
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tasks: list[Task] = field(default_factory=list)
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def add(self, title: str) -> Task:
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task = Task(title=title)
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self.tasks.append(task)
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return task
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def complete(self, index: int) -> None:
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self.tasks[index].done = True
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def pending(self) -> list[Task]:
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return [t for t in self.tasks if not t.done]
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def pending_count(self) -> int:
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# Added by the AI to support `cli.py count`. Looks right, ran fine in a quick check.
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return len(self.tasks)
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def render(self) -> str:
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if not self.tasks:
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return "(no tasks yet)"
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lines = []
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for i, task in enumerate(self.tasks):
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box = "[x]" if task.done else "[ ]"
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lines.append(f"{i}. {box} {task.title}")
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return "\n".join(lines)
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