Add html_favicon to sphinx config

[vandalt]

This PR adds the favicon so that tabs will show the snakemake icon, like the main docs.

Also, when building locally, pandas was missing so I added it to pixi.toml. I'm new to pixi so let me know if I should do something differently.

Thanks!

Summary by CodeRabbit

• New Features

  • Added a custom favicon to the HTML documentation for improved visual branding.

• Chores

  • Added pandas as a project dependency to support data-handling capabilities.

[coderabbitai]

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: ccc53a83-0e7c-43a3-bfcc-a2d5c79d5efe

📥 Commits

Reviewing files that changed from the base of the PR and between 22de4b2 and 7903537.

📒 Files selected for processing (1)

• pixi.toml

🚧 Files skipped from review as they are similar to previous changes (1)

• pixi.toml

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📝 Walkthrough

Walkthrough

Adds a new project dependency (pandas = ">=2.2,<3") to pixi.toml and sets an HTML favicon (_static/logo-snake.svg) in Sphinx config (source/conf.py).

Changes

Cohort / File(s)	Summary
Project config & docs pixi.toml, source/conf.py	Added pandas = ">=2.2,<3" under [dependencies] in pixi.toml; added html_favicon = "_static/logo-snake.svg" to Sphinx source/conf.py.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Title check	⚠️ Warning	The PR title mentions only the favicon configuration change, but the changeset also includes a significant dependency addition (pandas) to pixi.toml, which is not reflected in the title.	Update the title to reflect both main changes, for example: 'Add favicon to sphinx config and pin pandas version in pixi.toml'

✅ Passed checks (2 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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🧹 Nitpick comments (1)

pixi.toml (1)

35-35: Pin the pandas version for reproducibility.

Pandas appears to be a transitive dependency in this project (it's in pixi.lock but not directly imported in any Python files). While most other dependencies specify version ranges like ">=X.Y.Z,<W", using "*" for pandas could lead to unexpected build failures if a major version introduces breaking changes.

Since you explicitly added pandas to pixi.toml, pinning it to a compatible version range ensures reproducible builds:

♻️ Suggested change

-pandas = "*"
+pandas = ">=2.0.0,<3"

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@pixi.toml` at line 35, Update the pandas dependency entry in pixi.toml (the
pandas = "*" line) to pin a safe, reproducible version range instead of "*";
choose a compatible constraint like a specific minor version or a bounded range
(for example ">=1.5.0,<2.0.0") and replace the wildcard so builds are
reproducible and resilient to breaking upstream changes.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Nitpick comments:
In `@pixi.toml`:
- Line 35: Update the pandas dependency entry in pixi.toml (the pandas = "*"
line) to pin a safe, reproducible version range instead of "*"; choose a
compatible constraint like a specific minor version or a bounded range (for
example ">=1.5.0,<2.0.0") and replace the wildcard so builds are reproducible
and resilient to breaking upstream changes.

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ℹ️ Review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: c6b89b93-3f36-47a7-a2ef-ca9612d0bf1c

📥 Commits

Reviewing files that changed from the base of the PR and between d2c11a2 and 22de4b2.

⛔ Files ignored due to path filters (1)

• pixi.lock is excluded by !**/*.lock

📒 Files selected for processing (2)

• pixi.toml
• source/conf.py