# django__django-14016

> Based on the issue description, I need to create a patch for Django's Q object implementation. The issue is that applying the | operator to a Q object fail

- Source: https://doutorai.pt/en/components/skills__django-django-14016
- Type: Skills
- Category: AI research
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/django-django-14016 && curl -fsSL https://doutorai.pt/data/lib/skills__django-django-14016.md -o .claude/skills/django-django-14016/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
Based on the issue description, I need to create a patch for Django's Q object implementation. The issue is that applying the `|` operator to a Q object fails when the Q object contains non-pickleable types like `dict_keys`. The regression was introduced in commit `bb0b6e526340e638522e093765e534df4e4393d2`.

Looking at the issue, the problem is that Django's Q object uses `copy.deepcopy()` when combining Q objects with `|` or `&` operators, and `dict_keys` objects cannot be pickled (which is required for deepcopy by default).

The solution is to implement `__deepcopy__` method on the Q class (

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```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__django-django-14016