Bugfix in RandomRain

[ternaus]

Summary by Sourcery

Add tests for the RandomRain augmentation to ensure the slant parameter behaves as expected.

Tests:

• Add tests to verify the slant range of the rain drops generated by RandomRain.
• Add visual tests to confirm the slant direction of the rain drops is consistent with the slant parameter.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request addresses a bug in the RandomRain augmentation by changing the mechanism for generating the rain slant and adding extensive tests for validation. The tests ensure that the generated slant values are within specified bounds, vary appropriately, and that the visual effect aligns with the expected slant direction.

Updated class diagram for RandomRain augmentation

classDiagram
    class RandomRain {
      +get_params_dependent_on_data()
      -py_random
      -slant_range
      -random_generator
    }
    note for RandomRain "Changed slant calculation to use py_random.randint(*slant_range)\ninstead of random_generator.integers(-width // 50, width // 50)."

Loading

File-Level Changes

Change	Details	Files
New tests added to validate RandomRain slant behavior.	Added a parameterized test to verify that the randomly generated slants using various ranges are within the expected limits and show sufficient variation across multiple runs. Added a visual verification test to check that rain drops drawn with fixed slant values render in the correct direction by analyzing the distribution of non-white pixels in the output image.	tests/test_augmentations.py
Modified the slant calculation in the RandomRain transform.	Replaced the use of self.random_generator.integers with self.py_random.randint utilizing the specified slant_range, ensuring that the slant generation aligns with user input. Adjusted parameter handling in the transform to support the new method of random number generation for slant values.	albumentations/augmentations/transforms.py

---

Tips and commands

Interacting with Sourcery

• Trigger a new review: Comment @sourcery-ai review on the pull request.
• Continue discussions: Reply directly to Sourcery's review comments.
• Generate a GitHub issue from a review comment: Ask Sourcery to create an
  issue from a review comment by replying to it. You can also reply to a
  review comment with @sourcery-ai issue to create an issue from it.
• Generate a pull request title: Write @sourcery-ai anywhere in the pull
  request title to generate a title at any time. You can also comment
  @sourcery-ai title on the pull request to (re-)generate the title at any time.
• Generate a pull request summary: Write @sourcery-ai summary anywhere in
  the pull request body to generate a PR summary at any time exactly where you
  want it. You can also comment @sourcery-ai summary on the pull request to
  (re-)generate the summary at any time.
• Generate reviewer's guide: Comment @sourcery-ai guide on the pull
  request to (re-)generate the reviewer's guide at any time.
• Resolve all Sourcery comments: Comment @sourcery-ai resolve on the
  pull request to resolve all Sourcery comments. Useful if you've already
  addressed all the comments and don't want to see them anymore.
• Dismiss all Sourcery reviews: Comment @sourcery-ai dismiss on the pull
  request to dismiss all existing Sourcery reviews. Especially useful if you
  want to start fresh with a new review - don't forget to comment
  @sourcery-ai review to trigger a new review!
• Generate a plan of action for an issue: Comment @sourcery-ai plan on
  an issue to generate a plan of action for it.

Customizing Your Experience

Access your dashboard to:

• Enable or disable review features such as the Sourcery-generated pull request
  summary, the reviewer's guide, and others.
• Change the review language.
• Add, remove or edit custom review instructions.
• Adjust other review settings.

Getting Help

• Contact our support team for questions or feedback.
• Visit our documentation for detailed guides and information.
• Keep in touch with the Sourcery team by following us on X/Twitter, LinkedIn or GitHub.

[sourcery-ai]

Hey @ternaus - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider extracting the repeated transform and seed setup in the tests into a helper function to reduce duplication.
• Review the slope calculation in test_random_rain_visual_effect, as using only leftmost and rightmost points might be sensitive to outliers.

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

---

Sourcery is free for open source - if you like our reviews please consider sharing them ✨

• X
• Mastodon
• LinkedIn
• Facebook

_{Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.}